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Disclaimer: None of this is financial advice. I have no idea what I'm doing. Please do your own research or you will certainly lose money. I'm not a statistician, data scientist, well-seasoned trader, or anything else that would qualify me to make statements such as the below with any weight behind them. Take them for the incoherent ramblings that they are. TL;DR at the bottom for those not interested in the details. This is a bit of a novel, sorry about that. It was mostly for getting my own thoughts organized, but if even one person reads the whole thing I will feel incredibly accomplished.
For those of you not familiar, please see the various threads on this trading system here. I can't take credit for this system, all glory goes to ParallaxFX! I wanted to see how effective this system was at H1 for a couple of reasons: 1) My current broker is TD Ameritrade - their Forex minimum is a mini lot, and I don't feel comfortable enough yet with the risk to trade mini lots on the higher timeframes(i.e. wider pip swings) that ParallaxFX's system uses, so I wanted to see if I could scale it down. 2) I'm fairly impatient, so I don't like to wait days and days with my capital tied up just to see if a trade is going to win or lose. This does mean it requires more active attention since you are checking for setups once an hour instead of once a day or every 4-6 hours, but the upside is that you trade more often this way so you end up winning or losing faster and moving onto the next trade. Spread does eat more of the trade this way, but I'll cover this in my data below - it ends up not being a problem. I looked at data from 6/11 to 7/3 on all pairs with a reasonable spread(pairs listed at bottom above the TL;DR). So this represents about 3-4 weeks' worth of trading. I used mark(mid) price charts. Spreadsheet link is below for anyone that's interested.
I'm pretty much using ParallaxFX's system textbook, but since there are a few options in his writeups, I'll include all the discretionary points here:
I'm using the stop entry version - so I wait for the price to trade beyond the confirmation candle(in the direction of my trade) before entering. I don't have any data to support this decision, but I've always preferred this method over retracement-limit entries. Maybe I just like the feeling of a higher winrate even though there can be greater R:R using a limit entry. Variety is the spice of life.
I put my stop loss right at the opposite edge of the confirmation candle. NOT at the edge of the 2-candle pattern that makes up the system. I'll get into this more below - not enough trades are saved to justify the wider stops. (Wider stop means less $ per pip won, assuming you still only risk 1%).
All my profit/loss statistics are based on a 1% risk per trade. Because 1 is real easy to multiply.
There are definitely some questionable trades in here, but I tried to make it as mechanical as possible for evaluation purposes. They do fit the definitions of the system, which is why I included them. You could probably improve the winrate by being more discretionary about your trades by looking at support/resistance or other techniques.
I didn't use MBB much for either entering trades, or as support/resistance indicators. Again, trying to be pretty mechanical here just for data collection purposes. Plus, we all make bad trading decisions now and then, so let's call it even.
As stated in the title, this is for H1 only. These results may very well not play out for other time frames - who knows, it may not even work on H1 starting this Monday. Forex is an unpredictable place.
I collected data to show efficacy of taking profit at three different levels: -61.8%, -100% and -161.8% fib levels described in the system using the passive trade management method(set it and forget it). I'll have more below about moving up stops and taking off portions of a position.
And now for the fun. Results!
Total Trades: 241
TP at -61.8%: 177 out of 241: 73.44%
TP at -100%: 156 out of 241: 64.73%
TP at -161.8%: 121 out of 241: 50.20%
Adjusted Proft % (takes spread into account):
TP at -61.8%: 5.22%
TP at -100%: 23.55%
TP at -161.8%: 29.14%
As you can see, a higher target ended up with higher profit despite a much lower winrate. This is partially just how things work out with profit targets in general, but there's an additional point to consider in our case: the spread. Since we are trading on a lower timeframe, there is less overall price movement and thus the spread takes up a much larger percentage of the trade than it would if you were trading H4, Daily or Weekly charts. You can see exactly how much it accounts for each trade in my spreadsheet if you're interested. TDA does not have the best spreads, so you could probably improve these results with another broker. EDIT: I grabbed typical spreads from other brokers, and turns out while TDA is pretty competitive on majors, their minors/crosses are awful! IG beats them by 20-40% and Oanda beats them 30-60%! Using IG spreads for calculations increased profits considerably (another 5% on top) and Oanda spreads increased profits massively (another 15%!). Definitely going to be considering another broker than TDA for this strategy. Plus that'll allow me to trade micro-lots, so I can be more granular(and thus accurate) with my position sizing and compounding.
A Note on Spread
As you can see in the data, there were scenarios where the spread was 80% of the overall size of the trade(the size of the confirmation candle that you draw your fibonacci retracements over), which would obviously cut heavily into your profits. Removing any trades where the spread is more than 50% of the trade width improved profits slightly without removing many trades, but this is almost certainly just coincidence on a small sample size. Going below 40% and even down to 30% starts to cut out a lot of trades for the less-common pairs, but doesn't actually change overall profits at all(~1% either way). However, digging all the way down to 25% starts to really make some movement. Profit at the -161.8% TP level jumps up to 37.94% if you filter out anything with a spread that is more than 25% of the trade width! And this even keeps the sample size fairly large at 187 total trades. You can get your profits all the way up to 48.43% at the -161.8% TP level if you filter all the way down to only trades where spread is less than 15% of the trade width, however your sample size gets much smaller at that point(108 trades) so I'm not sure I would trust that as being accurate in the long term. Overall based on this data, I'm going to only take trades where the spread is less than 25% of the trade width. This may bias my trades more towards the majors, which would mean a lot more correlated trades as well(more on correlation below), but I think it is a reasonable precaution regardless.
Time of Day
Time of day had an interesting effect on trades. In a totally predictable fashion, a vast majority of setups occurred during the London and New York sessions: 5am-12pm Eastern. However, there was one outlier where there were many setups on the 11PM bar - and the winrate was about the same as the big hours in the London session. No idea why this hour in particular - anyone have any insight? That's smack in the middle of the Tokyo/Sydney overlap, not at the open or close of either. On many of the hour slices I have a feeling I'm just dealing with small number statistics here since I didn't have a lot of data when breaking it down by individual hours. But here it is anyway - for all TP levels, these three things showed up(all in Eastern time):
7pm-4am: Fewer setups, but winrate high.
5am-6am: Lots of setups, but but winrate low.
12pm-3pm Medium number of setups, but winrate low.
I don't have any reason to think these timeframes would maintain this behavior over the long term. They're almost certainly meaningless. EDIT: When you de-dup highly correlated trades, the number of trades in these timeframes really drops, so from this data there is no reason to think these timeframes would be any different than any others in terms of winrate. That being said, these time frames work out for me pretty well because I typically sleep 12am-7am Eastern time. So I automatically avoid the 5am-6am timeframe, and I'm awake for the majority of this system's setups.
Moving stops up to breakeven
This section goes against everything I know and have ever heard about trade management. Please someone find something wrong with my data. I'd love for someone to check my formulas, but I realize that's a pretty insane time commitment to ask of a bunch of strangers. Anyways. What I found was that for these trades moving stops up...basically at all...actually reduced the overall profitability. One of the data points I collected while charting was where the price retraced back to after hitting a certain milestone. i.e. once the price hit the -61.8% profit level, how far back did it retrace before hitting the -100% profit level(if at all)? And same goes for the -100% profit level - how far back did it retrace before hitting the -161.8% profit level(if at all)? Well, some complex excel formulas later and here's what the results appear to be. Emphasis on appears because I honestly don't believe it. I must have done something wrong here, but I've gone over it a hundred times and I can't find anything out of place.
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Adjusted Proft % (takes spread into account): 5.36%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Adjusted Proft % (takes spread into account): -1.01% (yes, a net loss)
Now, you might think exactly what I did when looking at these numbers: oof, the spread killed us there right? Because even when you move your SL to 0%, you still end up paying the spread, so it's not truly "breakeven". And because we are trading on a lower timeframe, the spread can be pretty hefty right? Well even when I manually modified the data so that the spread wasn't subtracted(i.e. "Breakeven" was truly +/- 0), things don't look a whole lot better, and still way worse than the passive trade management method of leaving your stops in place and letting it run. And that isn't even a realistic scenario because to adjust out the spread you'd have to move your stoploss inside the candle edge by at least the spread amount, meaning it would almost certainly be triggered more often than in the data I collected(which was purely based on the fib levels and mark price). Regardless, here are the numbers for that scenario:
Moving SL up to 0% when the price hits -61.8%, TP at -100%
Winrate(breakeven doesn't count as a win): 46.4%
Adjusted Proft % (takes spread into account): 17.97%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%
Winrate(breakeven doesn't count as a win): 65.97%
Adjusted Proft % (takes spread into account): 11.60%
From a literal standpoint, what I see behind this behavior is that 44 of the 69 breakeven trades(65%!) ended up being profitable to -100% after retracing deeply(but not to the original SL level), which greatly helped offset the purely losing trades better than the partial profit taken at -61.8%. And 36 went all the way back to -161.8% after a deep retracement without hitting the original SL. Anyone have any insight into this? Is this a problem with just not enough data? It seems like enough trades that a pattern should emerge, but again I'm no expert. I also briefly looked at moving stops to other lower levels (78.6%, 61.8%, 50%, 38.2%, 23.6%), but that didn't improve things any. No hard data to share as I only took a quick look - and I still might have done something wrong overall. The data is there to infer other strategies if anyone would like to dig in deep(more explanation on the spreadsheet below). I didn't do other combinations because the formulas got pretty complicated and I had already answered all the questions I was looking to answer.
2-Candle vs Confirmation Candle Stops
Another interesting point is that the original system has the SL level(for stop entries) just at the outer edge of the 2-candle pattern that makes up the system. Out of pure laziness, I set up my stops just based on the confirmation candle. And as it turns out, that is much a much better way to go about it. Of the 60 purely losing trades, only 9 of them(15%) would go on to be winners with stops on the 2-candle formation. Certainly not enough to justify the extra loss and/or reduced profits you are exposing yourself to in every single other trade by setting a wider SL. Oddly, in every single scenario where the wider stop did save the trade, it ended up going all the way to the -161.8% profit level. Still, not nearly worth it.
As I've said many times now, I'm really not qualified to be doing an analysis like this. This section in particular. Looking at shared currency among the pairs traded, 74 of the trades are correlated. Quite a large group, but it makes sense considering the sort of moves we're looking for with this system. This means you are opening yourself up to more risk if you were to trade on every signal since you are technically trading with the same underlying sentiment on each different pair. For example, GBP/USD and AUD/USD moving together almost certainly means it's due to USD moving both pairs, rather than GBP and AUD both moving the same size and direction coincidentally at the same time. So if you were to trade both signals, you would very likely win or lose both trades - meaning you are actually risking double what you'd normally risk(unless you halve both positions which can be a good option, and is discussed in ParallaxFX's posts and in various other places that go over pair correlation. I won't go into detail about those strategies here). Interestingly though, 17 of those apparently correlated trades ended up with different wins/losses. Also, looking only at trades that were correlated, winrate is 83%/70%/55% (for the three TP levels). Does this give some indication that the same signal on multiple pairs means the signal is stronger? That there's some strong underlying sentiment driving it? Or is it just a matter of too small a sample size? The winrate isn't really much higher than the overall winrates, so that makes me doubt it is statistically significant. One more funny tidbit: EUCAD netted the lowest overall winrate: 30% to even the -61.8% TP level on 10 trades. Seems like that is just a coincidence and not enough data, but dang that's a sucky losing streak. EDIT: WOW I spent some time removing correlated trades manually and it changed the results quite a bit. Some thoughts on this below the results. These numbers also include the other "What I will trade" filters. I added a new worksheet to my data to show what I ended up picking.
Total Trades: 75
TP at -61.8%: 84.00%
TP at -100%: 73.33%
TP at -161.8%: 60.00%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 53.33%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 53.33% (yes, oddly the exact same winrate. but different trades/profits)
Adjusted Proft % (takes spread into account):
TP at -61.8%: 18.13%
TP at -100%: 26.20%
TP at -161.8%: 34.01%
Moving SL up to 0% when the price hits -61.8%, TP at -100%: 19.20%
Taking half position off at -61.8%, moving SL up to 0%, TP remaining half at -100%: 17.29%
To do this, I removed correlated trades - typically by choosing those whose spread had a lower % of the trade width since that's objective and something I can see ahead of time. Obviously I'd like to only keep the winning trades, but I won't know that during the trade. This did reduce the overall sample size down to a level that I wouldn't otherwise consider to be big enough, but since the results are generally consistent with the overall dataset, I'm not going to worry about it too much. I may also use more discretionary methods(support/resistance, quality of indecision/confirmation candles, news/sentiment for the pairs involved, etc) to filter out correlated trades in the future. But as I've said before I'm going for a pretty mechanical system. This brought the 3 TP levels and even the breakeven strategies much closer together in overall profit. It muted the profit from the high R:R strategies and boosted the profit from the low R:R strategies. This tells me pair correlation was skewing my data quite a bit, so I'm glad I dug in a little deeper. Fortunately my original conclusion to use the -161.8 TP level with static stops is still the winner by a good bit, so it doesn't end up changing my actions. There were a few times where MANY (6-8) correlated pairs all came up at the same time, so it'd be a crapshoot to an extent. And the data showed this - often then won/lost together, but sometimes they did not. As an arbitrary rule, the more correlations, the more trades I did end up taking(and thus risking). For example if there were 3-5 correlations, I might take the 2 "best" trades given my criteria above. 5+ setups and I might take the best 3 trades, even if the pairs are somewhat correlated. I have no true data to back this up, but to illustrate using one example: if AUD/JPY, AUD/USD, CAD/JPY, USD/CAD all set up at the same time (as they did, along with a few other pairs on 6/19/20 9:00 AM), can you really say that those are all the same underlying movement? There are correlations between the different correlations, and trying to filter for that seems rough. Although maybe this is a known thing, I'm still pretty green to Forex - someone please enlighten me if so! I might have to look into this more statistically, but it would be pretty complex to analyze quantitatively, so for now I'm going with my gut and just taking a few of the "best" trades out of the handful. Overall, I'm really glad I went further on this. The boosting of the B/E strategies makes me trust my calculations on those more since they aren't so far from the passive management like they were with the raw data, and that really had me wondering what I did wrong.
What I will trade
Putting all this together, I am going to attempt to trade the following(demo for a bit to make sure I have the hang of it, then for keeps):
"System Details" I described above.
TP at -161.8%
Static SL at opposite side of confirmation candle - I won't move stops up to breakeven.
Trade only 7am-11am and 4pm-11pm signals.
Nothing where spread is more than 25% of trade width.
Looking at the data for these rules, test results are:
Adjusted Proft % (takes spread into account): 47.43%
I'll be sure to let everyone know how it goes!
Other Technical Details
ATR is only slightly elevated in this date range from historical levels, so this should fairly closely represent reality even after the COVID volatility leaves the scalpers sad and alone.
The sample size is much too small for anything really meaningful when you slice by hour or pair. I wasn't particularly looking to test a specific pair here - just the system overall as if you were going to trade it on all pairs with a reasonable spread.
Here's the spreadsheet for anyone that'd like it. (EDIT: Updated some of the setups from the last few days that have fully played out now. I also noticed a few typos, but nothing major that would change the overall outcomes. Regardless, I am currently reviewing every trade to ensure they are accurate.UPDATE: Finally all done. Very few corrections, no change to results.) I have some explanatory notes below to help everyone else understand the spiraled labyrinth of a mind that put the spreadsheet together.
I'm on the East Coast in the US, so the timestamps are Eastern time.
Time stamp is from the confirmation candle, not the indecision candle. So 7am would mean the indecision candle was 6:00-6:59 and the confirmation candle is 7:00-7:59 and you'd put in your order at 8:00.
I found a couple AM/PM typos as I was reviewing the data, so let me know if a trade doesn't make sense and I'll correct it.
Insanely detailed spreadsheet notes
For you real nerds out there. Here's an explanation of what each column means:
Pair - duh
Date/Time - Eastern time, confirmation candle as stated above
Win to -61.8%? - whether the trade made it to the -61.8% TP level before it hit the original SL.
Win to -100%? - whether the trade made it to the -100% TP level before it hit the original SL.
Win to -161.8%? - whether the trade made it to the -161.8% TP level before it hit the original SL.
Retracement level between -61.8% and -100% - how deep the price retraced after hitting -61.8%, but before hitting -100%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -61.8% to -100%. Positive 100 means it hit the original SL.
Retracement level between -100% and -161.8% - how deep the price retraced after hitting -100%, but before hitting -161.8%. Be careful to look for the negative signs, it's easy to mix them up. Using the fib% levels defined in ParallaxFX's original thread. A plain hyphen "-" means it did not retrace, but rather went straight through -100% to -161.8%. Positive 100 means it hit the original SL.
Trade Width(Pips) - the size of the confirmation candle, and thus the "width" of your trade on which to determine position size, draw fib levels, etc.
Loser saved by 2 candle stop? - for all losing trades, whether or not the 2-candle stop loss would have saved the trade and how far it ended up getting if so. "No" means it didn't save it, N/A means it wasn't a losing trade so it's not relevant.
Spread(ThinkorSwim) - these are typical spreads for these pairs on ToS.
Spread % of Width - How big is the spread compared to the trade width? Not used in any calculations, but interesting nonetheless.
True Risk(Trade Width + Spread) - I set my SL at the opposite side of the confirmation candle knowing that I'm actually exposing myself to slightly more risk because of the spread(stop order = market order when submitted, so you pay the spread). So this tells you how many pips you are actually risking despite the Trade Width. I prefer this over setting the stop inside from the edge of the candle because some pairs have a wide spread that would mess with the system overall. But also many, many of these trades retraced very nearly to the edge of the confirmation candle, before ending up nicely profitable. If you keep your risk per trade at 1%, you're talking a true risk of, at most, 1.25% (in worst-case scenarios with the spread being 25% of the trade width as I am going with above).
Win or Loss in %(1% risk) including spread TP -61.8% - not going to go into huge detail, see the spreadsheet for calculations if you want. But, in a nutshell, if the trade was a win to 61.8%, it returns a positive # based on 61.8% of the trade width, minus the spread. Otherwise, it returns the True Risk as a negative. Both normalized to the 1% risk you started with.
Win or Loss in %(1% risk) including spread TP -100% - same as the last, but 100% of Trade Width.
Win or Loss in %(1% risk) including spread TP -161.8% - same as the last, but 161.8% of Trade Width.
Win or Loss in %(1% risk) including spread TP -100%, and move SL to breakeven at 61.8% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you moved SL to 0% fib level after price hit -61.8%. Then full TP at 100%.
Win or Loss in %(1% risk) including spread take off half of position at -61.8%, move SL to breakeven, TP 100% - uses the retracement level columns to calculate profit/loss the same as the last few columns, but assuming you took of half the position and moved SL to 0% fib level after price hit -61.8%. Then TP the remaining half at 100%.
Overall Growth(-161.8% TP, 1% Risk) - pretty straightforward. Assuming you risked 1% on each trade, what the overall growth level would be chronologically(spreadsheet is sorted by date).
Based on the reasonable rules I discovered in this backtest:
Date range: 6/11-7/3
Adjusted Proft % (takes spread into account): 47.43%
Demo Trading Results
Since this post, I started demo trading this system assuming a 5k capital base and risking ~1% per trade. I've added the details to my spreadsheet for anyone interested. The results are pretty similar to the backtest when you consider real-life conditions/timing are a bit different. I missed some trades due to life(work, out of the house, etc), so that brought my total # of trades and thus overall profit down, but the winrate is nearly identical. I also closed a few trades early due to various reasons(not liking the price action, seeing support/resistance emerge, etc). A quick note is that TD's paper trade system fills at the mid price for both stop and limit orders, so I had to subtract the spread from the raw trade values to get the true profit/loss amount for each trade. I'm heading out of town next week, then after that it'll be time to take this sucker live!
Date range: 7/9-7/30
Adjusted Proft % (takes spread into account): 20.73%
Starting Balance: $5,000
Ending Balance: $6,036.51
Live Trading Results
I started live-trading this system on 8/10, and almost immediately had a string of losses much longer than either my backtest or demo period. Murphy's law huh? Anyways, that has me spooked so I'm doing a longer backtest before I start risking more real money. It's going to take me a little while due to the volume of trades, but I'll likely make a new post once I feel comfortable with that and start live trading again.
I always dreamt of becoming a multi millionaire in 5 to 10 years but this guy has brought an interesting point to the table:
Day Trading Market Ceiling There also a Day Trading Market Ceiling. A successful day trader (not an investor, though) will eventually get capped out, as the market simply can’t accommodate an infinitely increasing position size for a particular strategy. To make more the trader either needs to alter the strategy, or also trade something else…and this may or may not work. Change one thing and you can’t assume all else will stay the same. To attain the returns discussed in the “How Much Day Traders Make,” multiple trades are made each day. Trades are likely only lasting a couple minutes. While multiple-millions of dollars worth of stocks, futures or currencies may change hands over the course of couple hours, day traders have precise entry points. Therefore, position size is limited to the amount of liquidity (volume) available at the exact moment a trader needs to get into and out of trades. Investors, hedge funds and mutual funds can accumulate or dispose of positions over weeks, taking advantage of days or even weeks worth liquidity. Day traders don’t have that luxury. It doesn’t matter if a stock trades millions of shares a day; if there is only 100 shares available when they need to take the trade (based on the strategy) that’s all they get. That’s an extreme example, but at any given moment there isn’t infinite liquidity available–there is what there is, and that means there is a limit to how big of a position you can accumulate and dispose of when your strategy calls for it. Based on personal experience, in day trading forex I wouldn’t be comfortable taking more than 5 standard lots on a day trade. Some may take more, most traders would take way less. Taking a larger amount would mean significantly increased risk of slippage or partial fills (you end up with the whole position on losing trades, but only partial positions on some winning trades). Possible gains attained by taking a larger position are offset by these negative factors. At 10:1 or 15:1 leverage a forex day trader–using a day trading forex strategy similar to mine— may cap out at around a $50,000 to $75,000 account (including leverage, that means trading close to $1million). Beyond that, they may find little additional gains, unless they alter their strategy, take longer term trades or stagger their entries and exits at various prices. Changing a strategy to accommodate a larger position isn’t a bad thing, but it takes additional research/practice time…and is it worth it? Only each individual can answer that for them self. In the ES futures market I cap out at about 10 contracts, and that only requires a $40,000 to $75,000 account (maybe even less depending on how much you risk per trade). There is no reason to trade more in my opinion. Could you day trade more contracts? Sure, you could probably get away with 100 contracts some days/some trades…but why? It would take a long time to work up to carrying those sorts of positions, and even trading a few contracts can produce a good living. The same goes for the stock market. Even in a very liquid stock or ETF like the SPDR S&P 500 (SPY) you will hit a limit on how much you can effectively trade on a short time frame. It may be a big limit, but you do hit it. To see the minimum amount of capital you need to day trade, see How Much Do I Need to Become a Day Trader. The bottom line is that you hit a limit on the amount of capital you can utilize effectively, and beyond that your percentage returns will likely decrease. For example, it’s much easier to make 10% a month on a $20,000 account than it is to make 10% a month on $20,000,000. That means day trader tend to withdraw all proceeds over and above their “efficient capital limit.” So a $50,000 day trading forex accounts stays a $50,000 account and monthly profits are withdrawn and spent (like any other job) or allocated to something else. In other words the account doesn’t keep compounding indefinitely, the trader nor the market can withstand doing that…there are ceilings…psychological, natural (life) and structural (market).
Giving away all Trading courses materials or Ecommerce courses materials at low cost
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Everything You Always Wanted To Know About Swaps* (*But Were Afraid To Ask)
Hello, dummies It's your old pal, Fuzzy. As I'm sure you've all noticed, a lot of the stuff that gets posted here is - to put it delicately - fucking ridiculous. More backwards-ass shit gets posted to wallstreetbets than you'd see on a Westboro Baptist community message board. I mean, I had a look at the daily thread yesterday and..... yeesh. I know, I know. We all make like the divine Laura Dern circa 1992 on the daily and stick our hands deep into this steaming heap of shit to find the nuggets of valuable and/or hilarious information within (thanks for reading, BTW). I agree. I love it just the way it is too. That's what makes WSB great. What I'm getting at is that a lot of the stuff that gets posted here - notwithstanding it being funny or interesting - is just... wrong. Like, fucking your cousin wrong. And to be clear, I mean the fucking your *first* cousin kinda wrong, before my Southerners in the back get all het up (simmer down, Billy Ray - I know Mabel's twice removed on your grand-sister's side). Truly, I try to let it slide. Idomybit to try and put you on the right path. Most of the time, I sleep easy no matter how badly I've seen someone explain what a bank liquidity crisis is. But out of all of those tens of thousands of misguided, autistic attempts at understanding the world of high finance, one thing gets so consistently - so *emphatically* - fucked up and misunderstood by you retards that last night I felt obligated at the end of a long work day to pull together this edition of Finance with Fuzzy just for you. It's so serious I'm not even going to make a u/pokimane gag. Have you guessed what it is yet? Here's a clue. It's in the title of the post. That's right, friends. Today in the neighborhood we're going to talk all about hedging in financial markets - spots, swaps, collars, forwards, CDS, synthetic CDOs, all that fun shit. Don't worry; I'm going to explain what all the scary words mean and how they impact your OTM RH positions along the way. We're going to break it down like this. (1) "What's a hedge, Fuzzy?" (2) Common Hedging Strategies and (3) All About ISDAs and Credit Default Swaps. Before we begin. For the nerds and JV traders in the back (and anyone else who needs to hear this up front) - I am simplifying these descriptions for the purposes of this post. I am also obviously not going to try and cover every exotic form of hedge under the sun or give a detailed summation of what caused the financial crisis. If you are interested in something specific ask a question, but don't try and impress me with your Investopedia skills or technical points I didn't cover; I will just be forced to flex my years of IRL experience on you in the comments and you'll look like a big dummy. TL;DR? Fuck you. There is no TL;DR. You've come this far already. What's a few more paragraphs? Put down the Cheetos and try to concentrate for the next 5-7 minutes. You'll learn something, and I promise I'll be gentle. Ready? Let's get started. 1.The Tao of Risk: Hedging as a Way of Life The simplest way to characterize what a hedge 'is' is to imagine every action having a binary outcome. One is bad, one is good. Red lines, green lines; uppie, downie. With me so far? Good. A 'hedge' is simply the employment of a strategy to mitigate the effect of your action having the wrong binary outcome. You wanted X, but you got Z! Frowny face. A hedge strategy introduces a third outcome. If you hedged against the possibility of Z happening, then you can wind up with Y instead. Not as good as X, but not as bad as Z. The technical definition I like to give my idiot juniors is as follows: Utilization of a defensive strategy to mitigate risk, at a fraction of the cost to capital of the risk itself. Congratulations. You just finished Hedging 101. "But Fuzzy, that's easy! I just sold a naked call against my 95% OTM put! I'm adequately hedged!". Spoiler alert: you're not (although good work on executing a collar, which I describe below). What I'm talking about here is what would be referred to as a 'perfect hedge'; a binary outcome where downside is totally mitigated by a risk management strategy. That's not how it works IRL. Pay attention; this is the tricky part. You can't take a single position and conclude that you're adequately hedged because risks are fluid, not static. So you need to constantly adjust your position in order to maximize the value of the hedge and insure your position. You also need to consider exposure to more than one category of risk. There are micro (specific exposure) risks, and macro (trend exposure) risks, and both need to factor into the hedge calculus. That's why, in the real world, the value of hedging depends entirely on the design of the hedging strategy itself. Here, when we say "value" of the hedge, we're not talking about cash money - we're talking about the intrinsic value of the hedge relative to the the risk profile of your underlying exposure. To achieve this, people hedge dynamically. In wallstreetbets terms, this means that as the value of your position changes, you need to change your hedges too. The idea is to efficiently and continuously distribute and rebalance risk across different states and periods, taking value from states in which the marginal cost of the hedge is low and putting it back into states where marginal cost of the hedge is high, until the shadow value of your underlying exposure is equalized across your positions. The punchline, I guess, is that one static position is a hedge in the same way that the finger paintings you make for your wife's boyfriend are art - it's technically correct, but you're only playing yourself by believing it. Anyway. Obviously doing this as a small potatoes trader is hard but it's worth taking into account. Enough basic shit. So how does this work in markets? 2. A Hedging Taxonomy The best place to start here is a practical question. What does a business need to hedge against? Think about the specific risk that an individual business faces. These are legion, so I'm just going to list a few of the key ones that apply to most corporates. (1) You have commodity risk for the shit you buy or the shit you use. (2) You have currency risk for the money you borrow. (3) You have rate risk on the debt you carry. (4) You have offtake risk for the shit you sell. Complicated, right? To help address the many and varied ways that shit can go wrong in a sophisticated market, smart operators like yours truly have devised a whole bundle of different instruments which can help you manage the risk. I might write about some of the more complicated ones in a later post if people are interested (CDO/CLOs, strip/stack hedges and bond swaps with option toggles come to mind) but let's stick to the basics for now. (i) Swaps A swap is one of the most common forms of hedge instrument, and they're used by pretty much everyone that can afford them. The language is complicated but the concept isn't, so pay attention and you'll be fine. This is the most important part of this section so it'll be the longest one. Swaps are derivative contracts with two counterparties (before you ask, you can't trade 'em on an exchange - they're OTC instruments only). They're used to exchange one cash flow for another cash flow of equal expected value; doing this allows you to take speculative positions on certain financial prices or to alter the cash flows of existing assets or liabilities within a business. "Wait, Fuzz; slow down! What do you mean sets of cash flows?". Fear not, little autist. Ol' Fuzz has you covered. The cash flows I'm talking about are referred to in swap-land as 'legs'. One leg is fixed - a set payment that's the same every time it gets paid - and the other is variable - it fluctuates (typically indexed off the price of the underlying risk that you are speculating on / protecting against). You set it up at the start so that they're notionally equal and the two legs net off; so at open, the swap is a zero NPV instrument. Here's where the fun starts. If the price that you based the variable leg of the swap on changes, the value of the swap will shift; the party on the wrong side of the move ponies up via the variable payment. It's a zero sum game. I'll give you an example using the most vanilla swap around; an interest rate trade. Here's how it works. You borrow money from a bank, and they charge you a rate of interest. You lock the rate up front, because you're smart like that. But then - quelle surprise! - the rate gets better after you borrow. Now you're bagholding to the tune of, I don't know, 5 bps. Doesn't sound like much but on a billion dollar loan that's a lot of money (a classic example of the kind of 'small, deep hole' that's terrible for profits). Now, if you had a swap contract on the rate before you entered the trade, you're set; if the rate goes down, you get a payment under the swap. If it goes up, whatever payment you're making to the bank is netted off by the fact that you're borrowing at a sub-market rate. Win-win! Or, at least, Lose Less / Lose Less. That's the name of the game in hedging. There are many different kinds of swaps, some of which are pretty exotic; but they're all different variations on the same theme. If your business has exposure to something which fluctuates in price, you trade swaps to hedge against the fluctuation. The valuation of swaps is also super interesting but I guarantee you that 99% of you won't understand it so I'm not going to try and explain it here although I encourage you to google it if you're interested. Because they're OTC, none of them are filed publicly. Someeeeeetimes you see an ISDA (dsicussed below) but the confirms themselves (the individual swaps) are not filed. You can usually read about the hedging strategy in a 10-K, though. For what it's worth, most modern credit agreements ban speculative hedging. Top tip: This is occasionally something worth checking in credit agreements when you invest in businesses that are debt issuers - being able to do this increases the risk profile significantly and is particularly important in times of economic volatility (ctrl+f "non-speculative" in the credit agreement to be sure). (ii) Forwards A forward is a contract made today for the future delivery of an asset at a pre-agreed price. That's it. "But Fuzzy! That sounds just like a futures contract!". I know. Confusing, right? Just like a futures trade, forwards are generally used in commodity or forex land to protect against price fluctuations. The differences between forwards and futures are small but significant. I'm not going to go into super boring detail because I don't think many of you are commodities traders but it is still an important thing to understand even if you're just an RH jockey, so stick with me. Just like swaps, forwards are OTC contracts - they're not publicly traded. This is distinct from futures, which are traded on exchanges (see The Ballad Of Big Dick Vick for some more color on this). In a forward, no money changes hands until the maturity date of the contract when delivery and receipt are carried out; price and quantity are locked in from day 1. As you now know having read about BDV, futures are marked to market daily, and normally people close them out with synthetic settlement using an inverse position. They're also liquid, and that makes them easier to unwind or close out in case shit goes sideways. People use forwards when they absolutely have to get rid of the thing they made (or take delivery of the thing they need). If you're a miner, or a farmer, you use this shit to make sure that at the end of the production cycle, you can get rid of the shit you made (and you won't get fucked by someone taking cash settlement over delivery). If you're a buyer, you use them to guarantee that you'll get whatever the shit is that you'll need at a price agreed in advance. Because they're OTC, you can also exactly tailor them to the requirements of your particular circumstances. These contracts are incredibly byzantine (and there are even crazier synthetic forwards you can see in money markets for the true degenerate fund managers). In my experience, only Texan oilfield magnates, commodities traders, and the weirdo forex crowd fuck with them. I (i) do not own a 10 gallon hat or a novelty size belt buckle (ii) do not wake up in the middle of the night freaking out about the price of pork fat and (iii) love greenbacks too much to care about other countries' monopoly money, so I don't fuck with them. (iii) Collars No, not the kind your wife is encouraging you to wear try out to 'spice things up' in the bedroom during quarantine. Collars are actually the hedging strategy most applicable to WSB. Collars deal with options! Hooray! To execute a basic collar (also called a wrapper by tea-drinking Brits and people from the Antipodes), you buy an out of the money put while simultaneously writing a covered call on the same equity. The put protects your position against price drops and writing the call produces income that offsets the put premium. Doing this limits your tendies (you can only profit up to the strike price of the call) but also writes down your risk. If you screen large volume trades with a VOL/OI of more than 3 or 4x (and they're not bullshit biotech stocks), you can sometimes see these being constructed in real time as hedge funds protect themselves on their shorts. (3) All About ISDAs, CDS and Synthetic CDOs You may have heard about the mythical ISDA. Much like an indenture (discussed in my post on $F), it's a magic legal machine that lets you build swaps via trade confirms with a willing counterparty. They are very complicated legal documents and you need to be a true expert to fuck with them. Fortunately, I am, so I do. They're made of two parts; a Master (which is a form agreement that's always the same) and a Schedule (which amends the Master to include your specific terms). They are also the engine behind just about every major credit crunch of the last 10+ years. First - a brief explainer. An ISDA is a not in and of itself a hedge - it's an umbrella contract that governs the terms of your swaps, which you use to construct your hedge position. You can trade commodities, forex, rates, whatever, all under the same ISDA. Let me explain. Remember when we talked about swaps? Right. So. You can trade swaps on just about anything. In the late 90s and early 2000s, people had the smart idea of using other people's debt and or credit ratings as the variable leg of swap documentation. These are called credit default swaps. I was actually starting out at a bank during this time and, I gotta tell you, the only thing I can compare people's enthusiasm for this shit to was that moment in your early teens when you discover jerking off. Except, unlike your bathroom bound shame sessions to Mom's Sears catalogue, every single person you know felt that way too; and they're all doing it at once. It was a fiscal circlejerk of epic proportions, and the financial crisis was the inevitable bukkake finish. WSB autism is absolutely no comparison for the enthusiasm people had during this time for lighting each other's money on fire. Here's how it works. You pick a company. Any company. Maybe even your own! And then you write a swap. In the swap, you define "Credit Event" with respect to that company's debt as the variable leg . And you write in... whatever you want. A ratings downgrade, default under the docs, failure to meet a leverage ratio or FCCR for a certain testing period... whatever. Now, this started out as a hedge position, just like we discussed above. The purest of intentions, of course. But then people realized - if bad shit happens, you make money. And banks... don't like calling in loans or forcing bankruptcies. Can you smell what the moral hazard is cooking? Enter synthetic CDOs. CDOs are basically pools of asset backed securities that invest in debt (loans or bonds). They've been around for a minute but they got famous in the 2000s because a shitload of them containing subprime mortgage debt went belly up in 2008. This got a lot of publicity because a lot of sad looking rednecks got foreclosed on and were interviewed on CNBC. "OH!", the people cried. "Look at those big bad bankers buying up subprime loans! They caused this!". Wrong answer, America. The debt wasn't the problem. What a lot of people don't realize is that the real meat of the problem was not in regular way CDOs investing in bundles of shit mortgage debts in synthetic CDOs investing in CDS predicated on that debt. They're synthetic because they don't have a stake in the actual underlying debt; just the instruments riding on the coattails. The reason these are so popular (and remain so) is that smart structured attorneys and bankers like your faithful correspondent realized that an even more profitable and efficient way of building high yield products with limited downside was investing in instruments that profit from failure of debt and in instruments that rely on that debt and then hedging that exposure with other CDS instruments in paired trades, and on and on up the chain. The problem with doing this was that everyone wound up exposed to everybody else's books as a result, and when one went tits up, everybody did. Hence, recession, Basel III, etc. Thanks, Obama. Heavy investment in CDS can also have a warping effect on the price of debt (something else that happened during the pre-financial crisis years and is starting to happen again now). This happens in three different ways. (1) Investors who previously were long on the debt hedge their position by selling CDS protection on the underlying, putting downward pressure on the debt price. (2) Investors who previously shorted the debt switch to buying CDS protection because the relatively illiquid debt (partic. when its a bond) trades at a discount below par compared to the CDS. The resulting reduction in short selling puts upward pressure on the bond price. (3) The delta in price and actual value of the debt tempts some investors to become NBTs (neg basis traders) who long the debt and purchase CDS protection. If traders can't take leverage, nothing happens to the price of the debt. If basis traders can take leverage (which is nearly always the case because they're holding a hedged position), they can push up or depress the debt price, goosing swap premiums etc. Anyway. Enough technical details. I could keep going. This is a fascinating topic that is very poorly understood and explained, mainly because the people that caused it all still work on the street and use the same tactics today (it's also terribly taught at business schools because none of the teachers were actually around to see how this played out live). But it relates to the topic of today's lesson, so I thought I'd include it here. Work depending, I'll be back next week with a covenant breakdown. Most upvoted ticker gets the post. *EDIT 1\* In a total blowout, $PLAY won. So it's D&B time next week. Post will drop Monday at market open.
The Next Crypto Wave: The Rise of Stablecoins and its Entry to the U.S. Dollar Market
Author: Christian Hsieh, CEO of Tokenomy This paper examines some explanations for the continual global market demand for the U.S. dollar, the rise of stablecoins, and the utility and opportunities that crypto dollars can offer to both the cryptocurrency and traditional markets. The U.S. dollar, dominant in world trade since the establishment of the 1944 Bretton Woods System, is unequivocally the world’s most demanded reserve currency. Today, more than 61% of foreign bank reserves and nearly 40% of the entire world’s debt is denominated in U.S. dollars1. However, there is a massive supply and demand imbalance in the U.S. dollar market. On the supply side, central banks throughout the world have implemented more than a decade-long accommodative monetary policy since the 2008 global financial crisis. The COVID-19 pandemic further exacerbated the need for central banks to provide necessary liquidity and keep staggering economies moving. While the Federal Reserve leads the effort of “money printing” and stimulus programs, the current money supply still cannot meet the constant high demand for the U.S. dollar2. Let us review some of the reasons for this constant dollar demand from a few economic fundamentals.
Demand for U.S. Dollars
Firstly, most of the world’s trade is denominated in U.S. dollars. Chief Economist of the IMF, Gita Gopinath, has compiled data reflecting that the U.S. dollar’s share of invoicing was 4.7 times larger than America’s share of the value of imports, and 3.1 times its share of world exports3. The U.S. dollar is the dominant “invoicing currency” in most developing countries4. https://preview.redd.it/d4xalwdyz8p51.png?width=535&format=png&auto=webp&s=9f0556c6aa6b29016c9b135f3279e8337dfee2a6 https://preview.redd.it/wucg40kzz8p51.png?width=653&format=png&auto=webp&s=71257fec29b43e0fc0df1bf04363717e3b52478f This U.S. dollar preference also directly impacts the world’s debt. According to the Bank of International Settlements, there is over $67 trillion in U.S. dollar denominated debt globally, and borrowing outside of the U.S. accounted for $12.5 trillion in Q1 20205. There is an immense demand for U.S. dollars every year just to service these dollar debts. The annual U.S. dollar buying demand is easily over $1 trillion assuming the borrowing cost is at 1.5% (1 year LIBOR + 1%) per year, a conservative estimate. https://preview.redd.it/6956j6f109p51.png?width=487&format=png&auto=webp&s=ccea257a4e9524c11df25737cac961308b542b69 Secondly, since the U.S. has a much stronger economy compared to its global peers, a higher return on investments draws U.S. dollar demand from everywhere in the world, to invest in companies both in the public and private markets. The U.S. hosts the largest stock markets in the world with more than $33 trillion in public market capitalization (combined both NYSE and NASDAQ)6. For the private market, North America’s total share is well over 60% of the $6.5 trillion global assets under management across private equity, real assets, and private debt investments7. The demand for higher quality investments extends to the fixed income market as well. As countries like Japan and Switzerland currently have negative-yielding interest rates8, fixed income investors’ quest for yield in the developed economies leads them back to the U.S. debt market. As of July 2020, there are $15 trillion worth of negative-yielding debt securities globally (see chart). In comparison, the positive, low-yielding U.S. debt remains a sound fixed income strategy for conservative investors in uncertain market conditions. Source: Bloomberg Last, but not least, there are many developing economies experiencing failing monetary policies, where hyperinflation has become a real national disaster. A classic example is Venezuela, where the currency Bolivar became practically worthless as the inflation rate skyrocketed to 10,000,000% in 20199. The recent Beirut port explosion in Lebanon caused a sudden economic meltdown and compounded its already troubled financial market, where inflation has soared to over 112% year on year10. For citizens living in unstable regions such as these, the only reliable store of value is the U.S. dollar. According to the Chainalysis 2020 Geography of Cryptocurrency Report, Venezuela has become one of the most active cryptocurrency trading countries11. The demand for cryptocurrency surges as a flight to safety mentality drives Venezuelans to acquire U.S. dollars to preserve savings that they might otherwise lose. The growth for cryptocurrency activities in those regions is fueled by these desperate citizens using cryptocurrencies as rails to access the U.S. dollar, on top of acquiring actual Bitcoin or other underlying crypto assets.
The Rise of Crypto Dollars
Due to the highly volatile nature of cryptocurrencies, USD stablecoin, a crypto-powered blockchain token that pegs its value to the U.S. dollar, was introduced to provide stable dollar exposure in the crypto trading sphere. Tether is the first of its kind. Issued in 2014 on the bitcoin blockchain (Omni layer protocol), under the token symbol USDT, it attempts to provide crypto traders with a stable settlement currency while they trade in and out of various crypto assets. The reason behind the stablecoin creation was to address the inefficient and burdensome aspects of having to move fiat U.S. dollars between the legacy banking system and crypto exchanges. Because one USDT is theoretically backed by one U.S. dollar, traders can use USDT to trade and settle to fiat dollars. It was not until 2017 that the majority of traders seemed to realize Tether’s intended utility and started using it widely. As of April 2019, USDT trading volume started exceeding the trading volume of bitcoina12, and it now dominates the crypto trading sphere with over $50 billion average daily trading volume13. https://preview.redd.it/3vq7v1jg09p51.png?width=700&format=png&auto=webp&s=46f11b5f5245a8c335ccc60432873e9bad2eb1e1 An interesting aspect of USDT is that although the claimed 1:1 backing with U.S. dollar collateral is in question, and the Tether company is in reality running fractional reserves through a loose offshore corporate structure, Tether’s trading volume and adoption continues to grow rapidly14. Perhaps in comparison to fiat U.S. dollars, which is not really backed by anything, Tether still has cash equivalents in reserves and crypto traders favor its liquidity and convenience over its lack of legitimacy. For those who are concerned about Tether’s solvency, they can now purchase credit default swaps for downside protection15. On the other hand, USDC, the more compliant contender, takes a distant second spot with total coin circulation of $1.8 billion, versus USDT at $14.5 billion (at the time of publication). It is still too early to tell who is the ultimate leader in the stablecoin arena, as more and more stablecoins are launching to offer various functions and supporting mechanisms. There are three main categories of stablecoin: fiat-backed, crypto-collateralized, and non-collateralized algorithm based stablecoins. Most of these are still at an experimental phase, and readers can learn more about them here. With the continuous innovation of stablecoin development, the utility stablecoins provide in the overall crypto market will become more apparent.
In addition to trade settlement, stablecoins can be applied in many other areas. Cross-border payments and remittances is an inefficient market that desperately needs innovation. In 2020, the average cost of sending money across the world is around 7%16, and it takes days to settle. The World Bank aims to reduce remittance fees to 3% by 2030. With the implementation of blockchain technology, this cost could be further reduced close to zero. J.P. Morgan, the largest bank in the U.S., has created an Interbank Information Network (IIN) with 416 global Institutions to transform the speed of payment flows through its own JPM Coin, another type of crypto dollar17. Although people argue that JPM Coin is not considered a cryptocurrency as it cannot trade openly on a public blockchain, it is by far the largest scale experiment with all the institutional participants trading within the “permissioned” blockchain. It might be more accurate to refer to it as the use of distributed ledger technology (DLT) instead of “blockchain” in this context. Nevertheless, we should keep in mind that as J.P. Morgan currently moves $6 trillion U.S. dollars per day18, the scale of this experiment would create a considerable impact in the international payment and remittance market if it were successful. Potentially the day will come when regulated crypto exchanges become participants of IIN, and the link between public and private crypto assets can be instantly connected, unlocking greater possibilities in blockchain applications. Many central banks are also in talks about developing their own central bank digital currency (CBDC). Although this idea was not new, the discussion was brought to the forefront due to Facebook’s aggressive Libra project announcement in June 2019 and the public attention that followed. As of July 2020, at least 36 central banks have published some sort of CBDC framework. While each nation has a slightly different motivation behind its currency digitization initiative, ranging from payment safety, transaction efficiency, easy monetary implementation, or financial inclusion, these central banks are committed to deploying a new digital payment infrastructure. When it comes to the technical architectures, research from BIS indicates that most of the current proofs-of-concept tend to be based upon distributed ledger technology (permissioned blockchain)19. https://preview.redd.it/lgb1f2rw19p51.png?width=700&format=png&auto=webp&s=040bb0deed0499df6bf08a072fd7c4a442a826a0 These institutional experiments are laying an essential foundation for an improved global payment infrastructure, where instant and frictionless cross-border settlements can take place with minimal costs. Of course, the interoperability of private DLT tokens and public blockchain stablecoins has yet to be explored, but the innovation with both public and private blockchain efforts could eventually merge. This was highlighted recently by the Governor of the Bank of England who stated that “stablecoins and CBDC could sit alongside each other20”. One thing for certain is that crypto dollars (or other fiat-linked digital currencies) are going to play a significant role in our future economy.
There is never a dull moment in the crypto sector. The industry narratives constantly shift as innovation continues to evolve. Twelve years since its inception, Bitcoin has evolved from an abstract subject to a familiar concept. Its role as a secured, scarce, decentralized digital store of value has continued to gain acceptance, and it is well on its way to becoming an investable asset class as a portfolio hedge against asset price inflation and fiat currency depreciation.Stablecoins have proven to be useful as proxy dollars in the crypto world, similar to how dollars are essential in the traditional world. It is only a matter of time before stablecoins or private digital tokens dominate the cross-border payments and global remittances industry. There are no shortages of hypes and experiments that draw new participants into the crypto space, such as smart contracts, new blockchains, ICOs, tokenization of things, or the most recent trends on DeFi tokens. These projects highlight the possibilities for a much more robust digital future, but the market also needs time to test and adopt. A reliable digital payment infrastructure must be built first in order to allow these experiments to flourish. In this paper we examined the historical background and economic reasons for the U.S. dollar’s dominance in the world, and the probable conclusion is that the demand for U.S. dollars will likely continue, especially in the middle of a global pandemic, accompanied by a worldwide economic slowdown. The current monetary system is far from perfect, but there are no better alternatives for replacement at least in the near term. Incremental improvements are being made in both the public and private sectors, and stablecoins have a definite role to play in both the traditional and the new crypto world. Thank you. Reference:  How the US dollar became the world’s reserve currency, Investopedia  The dollar is in high demand, prone to dangerous appreciation, The Economist  Dollar dominance in trade and finance, Gita Gopinath  Global trades dependence on dollars, The Economist & IMF working papers  Total credit to non-bank borrowers by currency of denomination, BIS  Biggest stock exchanges in the world, Business Insider  McKinsey Global Private Market Review 2020, McKinsey & Company  Central banks current interest rates, Global Rates  Venezuela hyperinflation hits 10 million percent, CNBC  Lebanon inflation crisis, Reuters  Venezuela cryptocurrency market, Chainalysis  The most used cryptocurrency isn’t Bitcoin, Bloomberg  Trading volume of all crypto assets, coinmarketcap.com  Tether US dollar peg is no longer credible, Forbes  New crypto derivatives let you bet on (or against) Tether’s solvency, Coindesk  Remittance Price Worldwide, The World Bank  Interbank Information Network, J.P. Morgan  Jamie Dimon interview, CBS News  Rise of the central bank digital currency, BIS  Speech by Andrew Bailey, 3 September 2020, Bank of England
PART 2 : https://www.reddit.com/wallstreetbets/comments/g0sd44/what_is_the_bottom/ PART 3: https://www.reddit.com/wallstreetbets/comments/g2enz2/why_the_printer_must_continue/ Edit: By popular demand, the too long didn't read is now at the top TL;DR SPY 220p 11/20 This will likely be a multi-part series. It should be noted that I am no expert by any means, I'm actually quite new to this, it is just an elementary analysis of patterns in price and time. I am not a financial advisor, and this is not advice for a person to enter trades upon. The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this DD, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. We will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The market is technically open 24-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Some important terms to keep in mind: § Discrete – terminal points at the extremes of ranges § Secondary Discrete – quantified retracement or correction between two discrete § Longs (asset appreciation) and shorts (asset depreciation)
- Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things. § Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes because of levels of fear. Allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Therefore, due to the relatively high volume on the 23rd of March, we can safely determine that a low WAS NOT reached. § VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX. As VIX is unusually high, in the forties, we can be confident that a downtrend is imminent.
Trend Definition Analysis
– Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw an uptrend line on the SPY chart, but it is possible to correctly draw a downtrend – indicating that the overall trend is downwards.
Now that we have determined that the overall trend is downwards, the next issue is the question of when SPY will bottom out. Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will complete our analysis of time by measuring it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours. Yearly Lows: 12/31/2000, 9/21/2001, 10/9/2002, 3/11/2003, 8/2/2004, 4/15/2005, 6/12/2006, 3/5/2007, 11/17/2008, 3/9/2009, 7/2/10, 10/3/11, 1/1/12, 1/1/13, 2/3/14, 9/28/15, 2/8/16, 1/3/17, 12/24/18, 6/3/19 Months: 1, 1, 1, 2, 2, 3, 3, 3, 4, 6, 6, 7, 8, 9, 9, 10, 10, 11, 12, 12 Days: 1, 1, 2, 2, 3, 3, 3, 3, 5, 8, 9, 9, 11, 12, 15, 17, 21, 24, 28, 31 Monthly Lows:3/23, 2/28, 1/27, 12/3, 11/1, 10/2, 9/3, 8/5, 7/1, 6/3, 5/31, 4/1 Days: 1, 1, 1, 2, 3, 3, 3, 5, 23, 27, 27, 31 Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points*.* We see that SPY tends to have its lows between three major month clusters: 1-4, primarily March (which has actually occurred already this year), 6-9, averaged out to July, and 10-12, averaged out to November. Following the same methodology, we get the third and tenth days of the month as the likeliest days. However, evaluating the monthly lows for the past year, the end of the month has replaced the average of the tenth. Therefore, we have four primary dates for our histogram. 7/3/20, 7/27/20, and 11/3/20, 11/27/20 . How do we narrow this group down with any accuracy? Let us average the days together to work with two dates - 7/15/20 and 11/15/20. The 8.6-Year Armstrong-Princeton Global Economic Confidence model – states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is April 14th of 2022. However, we can time-shift to other peaks and troughs to determine a date for this year. If we consider 1/28/2018 as a localized high and apply this model, we get 3/23/20 as a low - strikingly accurate. I have chosen the next localized high, 9/21/2018 to apply the model to. We achieve a date of 11/14/2020. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of the bear market - roughly speaking. Therefore, our timeline looks like:
11/14/20 - yearly low (selected from histogram averages, 11/15/20, and the 8.6 Year Confidence model)
7/28/21 - End of bear market (18 month average of 8/9, averaged with histogram date of 7/15)
4/14/22 - lesser correction.
As we move forward in time, our predictions may be less accurate. It is important to keep in mind that this analysis will likely change and become more accurate as we factor in Terry Laundry’s T-Theory, the Bradley Cycle, a more sophisticated analysis of Bull and Bear Market Cycles, the Fundamental Investor Cyclic Approach, and Seasons and Half-Seasons. I have also assumed that the audience believes in these models, which is not necessary. Anyone with free time may construct histograms and view these time models, determining for themselves what is accurate and what is not. Take a look at 1/28/2008, that localized high, and 2.15 years (1/4th of the sinusoidal wave of the model) later. The question now is, what prices will SPY reach on 11/14? Where will we be at 7/28? What will happen on 4/14/22?
A random guide for scalping - Part V - Understanding Intraday Liquidity
Hi there guys, Welcome back to my weekly rants. Decided to add some info that should be pretty useful to your daily trading, thanks to the comments of u/Neokill1 and u/indridcold91. If you have not read the rest of the series, I recommend you take your time and read those before continuing with this piece (check my user activity and scroll down...) This rant is based on this little comment I posted on the last post: Price moves because of the imbalance between buying and selling. This happens all the time. Price move where liquidity is, and that seeking of liquidity makes the price to go up and down. Why price extends on a particular direction? Because longer term players decide it. So the idea behind what I'm writing about is to follow that longer-term trend, taking advantage of a counter-trend wave that is looking for intra-day liquidity. If I'm bullish on the week, I want to pair my buying with intra-day selling. Because I expect longer-term traders to push price by buying massively. And instead of riding a big wave, I want to ride that push and get out before it retraces. And also answers to this: why for example would it make sense to draw support/resistance lines on a EUUSD chart? Why would anyone "support" the price of a spread?What are you predicting to happen by drawing those lines, that someone will exchange their currency there simply because it's the same price they exchanged it for in the past and that number is special to them? A good question that deserves an answer That question is a pretty good one, and one any trader worth of that name should ask himself why. Why price reacts the way it does? Why price behaves in predetermined ways? Why if I draw a line or area on specific candle places, I expect the price to react? And the answer is simple and at the same time kinda complicated and fascinating. Why price rallies and rallies andd rallies and then suddenly it stops at a point ,and reverses? . The answer is , because there are sellers at that point. There is liquidity there. There is people at that point that decided it was worth to sell enough to reverse that rally. All the market does is to put together buyers and sellers. If you want to buy something at some price, someone must agree with you. If no ones agrees, then you will have to offer more. When buyers and sellers agree on similar terms, price is stable. Buying and selling happens on a tight range, because both consider that particular price range worth. But then, perhaps, someone wants to buy big. And there are not enough sellers. This big boy will dry the available liquidity , and it is hungry for more. So price will move from a balanced state to an imbalanced state. This imbalance in volume between buyers and sellers will cause the price to move up, taking all available liquidity till the monster is satiated. Then the exhaustion of bids, or buying, will cause the price to reverse to a point where buying interest is back. The same applies for selling activity. The main take away you should get from this is simply that the market keeps moving from balance to imbalance to balance to imbalance all the time. And the points where the big bois deploy this activity of buying , of selling, of protecting levels, of slowly entering the markets, are mostly predetermined. Surprised? Most of the institutional activity happens at : 00 ,20, 50 and 80 levels. So why drawing a line makes sense? It makes sense because when price stalls at some point, is because sellers or buyers stepped in and stopped the movement. Its a level where something interesting is happening. It's a level where liquidity was present, and the question is, what is going to happen the next time price touches the area? Is someone stepping in to buy or sell at this point? Or perharps the first touch dried the liquidity, and there is nothing preventing price from going up again?? Lets see a real example of a trade I took today on GBPUSD, where I analyze step by step the balance and imbalance of the market liquidity in real time at those levels. The only way to see this is usingfutures. Because forex is a decentralized market and blah blah blah, and futures are centralized so you can see the volume, the limit orders through the DOM and blah blah blah.... So first things first, read well this articule : https://optimusfutures.com/tradeblog/archives/order-flow-trading Understand well what is said there. Take it easy. Take your time. And then come back to me. If you have followed my work, you know how I like to ride the market. I want a retracement on the most liquid moment in the market - the NY-London Overlap, and I need a daily BIAS on the pair. For today, I'm bullish on the GBPUSD. So lets check the pics. https://imgur.com/a/kgev9lT The areas you see marked on the 30 min charts are based on the price relationships that happened last Friday. As you can see, those areas are always in a place where price stalled, retraced, pushed through,came back to the area and reacted in some way. Are those black magic? Why price reacts so smoothly today on them? Ah you Criptochihuahua, this is 20/20 insight, you are lying.... Those points are marked before today's open, simply because of the price relationship I described earlier. And if you remember the earlier rant, price stalls in there because sellers or buyers were present. So I would expect that the levels are still interesting, and we should be watching carefully how price reacts in real time. Now, today I got at 1.2680 and got out at 1.2725. Let's check the 2nd pic, keep following the narrative with your own charts. What you are seeing is the first touch at the big figure with the total volume chart, and the bid/ask order flow chart. You can see how the price is pulled toward that level through the exhaustion of offers being filled. You can see how exactly they are depleted at 15:51. Why? Because at the next min, you can see how there are no offers being filled, compared to the bids. Remember, when offers are getting filled , price pulls up. When the bids are predominantly being filled, price is pulled down. And also take a look on the volume. This is key. If an imbalance is to happen, is because there should be a huge difference between bids and asks. Good volume on such a level, good sign. Price hugging the level without good volume, the level will most likely be broken. Look at the next pic. See the price behavior in combination with the volume? Price is hugging the level on low volume. Great signal. That means the level is not that greatly defended, at this point. What are we looking for? We are looking for the bids to be exhausted at our next level with a good volume reaction. Watch what happens. Next pic is our retracement , and we are watching carefully. And look at that beauty. Do you see the volume? Do you see the bids exhaustion? Do you see how the market orders are getting absorbed by the limit orders at that point? Someone does not want the price to go down. Price jumps as a result. It does not huge the level. Do you see? I'm all in, I want to take part of this trade. But wait, there is more.... look at the next pic, because you yet have another opportunity to get into this train.... at 17:23.. Even a bigger reaction, while on the other side.... we got more hugging... No more pics for today. You see what happens next. The level gets broken and price rallies to take the previous day high. Trade was a success. So I hope this added some value, and explained why drawing lines is useful, and how levels are indeed defended. P.S - I lied: Extra Pic, you got a VWAP chart with Standard Deviations. You can see how the pullback nicely fits in our long framework as well and adds confluence to the trade. Research about this :)
Were much larger, participants in the interdealer market Retail forex is forex That's traded through traders Market, but they have been discovered to narrow as trading volume rises.  By individual or smaller investors. These firms are also known by the term"retail aggregators." Forex trading started to become popularised in the late 1990s with the development of trading. Into business, traders and retail forex brokers went at that time to allow traders to get into markets that were previously limited to companies and financial institutions. The role of the agent has commonly been found in equities, Account with a limited amount of resources and let them trade online through internet-based trading platforms. Most trading is done through the spot foreign exchange market, although some agents deal in products such as futures and options. Forex trading has been popularised among different traders since brokers have given them the opportunity to trade with margin accounts forex bonus. These allow traders to borrow capital to make a transaction, and multiply the main that they use to trade by large amountsup to 50 times their initial capital. Are higher for retail clients than they are at the interdealer The interdealer market, that will be dominated by banks. Since the transaction volumes Traditionally, bigger clients such as importers, exporters, banks and corporations who must exchange currencies for commercial purposes and hedging against currency risks have traded on the interbank market foreign exchange. Most retail forex brokerages act in the role of traders, Commodities, even insurance and derivatives and property markets since the beginning of the modern age. And until the dawn of the era , most brokers run by phone. Clients could phone in their orders of trades, and agents would purchase and sell resources on behalf of their customer's accounts for a commission. Brokers And Dealers Around the year 2000, retail brokers began offering online Provide liquidity for your agents' prices. Bid-ask spreads Taking another side of a commerce so as to provide liquidity for dealers. Brokers make money with this activity by charging a small fee through a bid-ask spread. Before the emergence of forex brokerages, individual trading figures less than US$1 million have been discouraged from entering the market by large bid-ask spreads forex trading tips. A forex broker, also known as a forex broker, or Their clients to access trade through digital platforms and computer applications and accounts. A broker previously was considered an individual member of a profession and frequently worked in a unique agency called a brokerage house (or merely a broker ). These days, the term"broker" is frequently used as shorthand for a brokerage. Accounts to personal investors, streaming prices from the and leading banks A key concept for contemporary individual traders is retail forex. Retail Forex Service by bundling many smallish trades together and strengthening them in In modern commercial and financial trading, currency trading broker signifies that an forex expert advisor intermediary who buys and sells assets for a commission or a particular asset. Therefore, a broker could be thought of as a salesman of assets. The origin of the term is unclear, even though it is considered to stem from French. Retail forex brokers normally allow traders to Prepare an Electronic Broking Services (EBS) system. The brokerages Could provide
Of course we know how people day trade 1-3 forex pairs, or people that day trade 1 future. I know a lot of people like to select the stock they will trade based on news, gap, etc. for that day. Are there people that day trade the same stock consistently, regardless? For example I was looking to possibly trade Tesla, AMD, etc because they are high volatility stocks with high volume. I’m relatively new to day trading, and I’m still practicing on a paper account.
﷽ The Federal Reserve and the United States government are pumping extreme amounts of money into the economy, already totaling over $484 billion. They are doing so because it already had a goal to inflate the United States Dollar (USD) so that the market can continue to all-time highs. It has always had this goal. They do not care how much inflation goes up by now as we are going into a depression with the potential to totally crash the US economy forever. They believe the only way to save the market from going to zero or negative values is to inflate it so much that it cannot possibly crash that low. Even if the market does not dip that low, inflation serves the interest of powerful people. The impending crash of the stock market has ramifications for Bitcoin, as, though there is no direct ongoing-correlation between the two, major movements in traditional markets will necessarily affect Bitcoin. According to the Blockchain Center’s Cryptocurrency Correlation Tool, Bitcoin is not correlated with the stock market. However, when major market movements occur, they send ripples throughout the financial ecosystem which necessary affect even ordinarily uncorrelated assets. Therefore, Bitcoin will reach X price on X date after crashing to a price of X by X date.
Stock Market Crash
The Federal Reserve has caused some serious consternation with their release of ridiculous amounts of money in an attempt to buoy the economy. At face value, it does not seem to have any rationale or logic behind it other than keeping the economy afloat long enough for individuals to profit financially and politically. However, there is an underlying basis to what is going on which is important to understand in order to profit financially. All markets are functionally price probing systems. They constantly undergo a price-discovery process. In a fiat system, money is an illusory and a fundamentally synthetic instrument with no intrinsic value – similar to Bitcoin. The primary difference between Bitcoin is the underlying technology which provides a slew of benefits that fiat does not. Fiat, however, has an advantage in being able to have the support of powerful nation-states which can use their might to insure the currency’s prosperity. Traditional stock markets are composed of indices (pl. of index). Indices are non-trading market instruments which are essentially summaries of business values which comprise them. They are continuously recalculated throughout a trading day, and sometimes reflected through tradable instruments such as Exchange Traded Funds or Futures. Indices are weighted by market capitalizations of various businesses. Price theory essentially states that when a market fails to take out a new low in a given range, it will have an objective to take out the high. When a market fails to take out a new high, it has an objective to make a new low. This is why price-time charts go up and down, as it does this on a second-by-second, minute-by-minute, day-by-day, and even century-by-century basis. Therefore, market indices will always return to some type of bull market as, once a true low is formed, the market will have a price objective to take out a new high outside of its’ given range – which is an all-time high. Instruments can only functionally fall to zero, whereas they can grow infinitely. So, why inflate the economy so much? Deflation is disastrous for central banks and markets as it raises the possibility of producing an overall price objective of zero or negative values. Therefore, under a fractional reserve system with a fiat currency managed by a central bank – the goal of the central bank is to depreciate the currency. The dollar is manipulated constantly with the intention of depreciating its’ value. Central banks have a goal of continued inflated fiat values. They tend to ordinarily contain it at less than ten percent (10%) per annum in order for the psyche of the general populace to slowly adjust price increases. As such, the markets are divorced from any other logic. Economic policy is the maintenance of human egos, not catering to fundamental analysis. Gross Domestic Product (GDP) growth is well-known not to be a measure of actual growth or output. It is a measure of increase in dollars processed. Banks seek to produce raising numbers which make society feel like it is growing economically, making people optimistic. To do so, the currency is inflated, though inflation itself does not actually increase growth. When society is optimistic, it spends and engages in business – resulting in actual growth. It also encourages people to take on credit and debts, creating more fictional fiat. Inflation is necessary for markets to continue to reach new heights, generating positive emotional responses from the populace, encouraging spending, encouraging debt intake, further inflating the currency, and increasing the sale of government bonds. The fiat system only survives by generating more imaginary money on a regular basis. Bitcoin investors may profit from this by realizing that stock investors as a whole always stand to profit from the market so long as it is managed by a central bank and does not collapse entirely. If those elements are filled, it has an unending price objective to raise to new heights. It also allows us to realize that this response indicates that the higher-ups believe that the economy could crash in entirety, and it may be wise for investors to have multiple well-thought-out exit strategies.
Economic Analysis of Bitcoin
The reason why the Fed is so aggressively inflating the economy is due to fears that it will collapse forever or never rebound. As such, coupled with a global depression, a huge demand will appear for a reserve currency which is fundamentally different than the previous system. Bitcoin, though a currency or asset, is also a market. It also undergoes a constant price-probing process. Unlike traditional markets, Bitcoin has the exact opposite goal. Bitcoin seeks to appreciate in value and not depreciate. This has a quite different affect in that Bitcoin could potentially become worthless and have a price objective of zero. Bitcoin was created in 2008 by a now famous mysterious figure known as Satoshi Nakamoto and its’ open source code was released in 2009. It was the first decentralized cryptocurrency to utilize a novel protocol known as the blockchain. Up to one megabyte of data may be sent with each transaction. It is decentralized, anonymous, transparent, easy to set-up, and provides myriad other benefits. Bitcoin is not backed up by anything other than its’ own technology. Bitcoin is can never be expected to collapse as a framework, even were it to become worthless. The stock market has the potential to collapse in entirety, whereas, as long as the internet exists, Bitcoin will be a functional system with a self-authenticating framework. That capacity to persist regardless of the actual price of Bitcoin and the deflationary nature of Bitcoin means that it has something which fiat does not – inherent value. Bitcoin is based on a distributed database known as the “blockchain.” Blockchains are essentially decentralized virtual ledger books, replete with pages known as “blocks.” Each page in a ledger is composed of paragraph entries, which are the actual transactions in the block. Blockchains store information in the form of numerical transactions, which are just numbers. We can consider these numbers digital assets, such as Bitcoin. The data in a blockchain is immutable and recorded only by consensus-based algorithms. Bitcoin is cryptographic and all transactions are direct, without intermediary, peer-to-peer. Bitcoin does not require trust in a central bank. It requires trust on the technology behind it, which is open-source and may be evaluated by anyone at any time. Furthermore, it is impossible to manipulate as doing so would require all of the nodes in the network to be hacked at once – unlike the stock market which is manipulated by the government and “Market Makers”. Bitcoin is also private in that, though the ledge is openly distributed, it is encrypted. Bitcoin’s blockchain has one of the greatest redundancy and information disaster recovery systems ever developed. Bitcoin has a distributed governance model in that it is controlled by its’ users. There is no need to trust a payment processor or bank, or even to pay fees to such entities. There are also no third-party fees for transaction processing. As the ledge is immutable and transparent it is never possible to change it – the data on the blockchain is permanent. The system is not easily susceptible to attacks as it is widely distributed. Furthermore, as users of Bitcoin have their private keys assigned to their transactions, they are virtually impossible to fake. No lengthy verification, reconciliation, nor clearing process exists with Bitcoin. Bitcoin is based on a proof-of-work algorithm. Every transaction on the network has an associated mathetical “puzzle”. Computers known as miners compete to solve the complex cryptographic hash algorithm that comprises that puzzle. The solution is proof that the miner engaged in sufficient work. The puzzle is known as a nonce, a number used only once. There is only one major nonce at a time and it issues 12.5 Bitcoin. Once it is solved, the fact that the nonce has been solved is made public. A block is mined on average of once every ten minutes. However, the blockchain checks every 2,016,000 minutes (approximately four years) if 201,600 blocks were mined. If it was faster, it increases difficulty by half, thereby deflating Bitcoin. If it was slower, it decreases, thereby inflating Bitcoin. It will continue to do this until zero Bitcoin are issued, projected at the year 2140. On the twelfth of May, 2020, the blockchain will halve the amount of Bitcoin issued when each nonce is guessed. When Bitcoin was first created, fifty were issued per block as a reward to miners. 6.25 BTC will be issued from that point on once each nonce is solved. Unlike fiat, Bitcoin is a deflationary currency. As BTC becomes scarcer, demand for it will increase, also raising the price. In this, BTC is similar to gold. It is predictable in its’ output, unlike the USD, as it is based on a programmed supply. We can predict BTC’s deflation and inflation almost exactly, if not exactly. Only 21 million BTC will ever be produced, unless the entire network concedes to change the protocol – which is highly unlikely. Some of the drawbacks to BTC include congestion. At peak congestion, it may take an entire day to process a Bitcoin transaction as only three to five transactions may be processed per second. Receiving priority on a payment may cost up to the equivalent of twenty dollars ($20). Bitcoin mining consumes enough energy in one day to power a single-family home for an entire week.
Trading or Investing?
The fundamental divide in trading revolves around the question of market structure. Many feel that the market operates totally randomly and its’ behavior cannot be predicted. For the purposes of this article, we will assume that the market has a structure, but that that structure is not perfect. That market structure naturally generates chart patterns as the market records prices in time. In order to determine when the stock market will crash, causing a major decline in BTC price, we will analyze an instrument, an exchange traded fund, which represents an index, as opposed to a particular stock. The price patterns of the various stocks in an index are effectively smoothed out. In doing so, a more technical picture arises. Perhaps the most popular of these is the SPDR S&P Standard and Poor 500 Exchange Traded Fund ($SPY). In trading, little to no concern is given about value of underlying asset. We are concerned primarily about liquidity and trading ranges, which are the amount of value fluctuating on a short-term basis, as measured by volatility-implied trading ranges. Fundamental analysis plays a role, however markets often do not react to real-world factors in a logical fashion. Therefore, fundamental analysis is more appropriate for long-term investing. The fundamental derivatives of a chart are time (x-axis) and price (y-axis). The primary technical indicator is price, as everything else is lagging in the past. Price represents current asking price and incorrectly implementing positions based on price is one of the biggest trading errors. Markets and currencies ordinarily have noise, their tendency to back-and-fill, which must be filtered out for true pattern recognition. That noise does have a utility, however, in allowing traders second chances to enter favorable positions at slightly less favorable entry points. When you have any market with enough liquidity for historical data to record a pattern, then a structure can be divined. The market probes prices as part of an ongoing price-discovery process. Market technicians must sometimes look outside of the technical realm and use visual inspection to ascertain the relevance of certain patterns, using a qualitative eye that recognizes the underlying quantitative nature Markets and instruments rise slower than they correct, however they rise much more than they fall. In the same vein, instruments can only fall to having no worth, whereas they could theoretically grow infinitely and have continued to grow over time. Money in a fiat system is illusory. It is a fundamentally synthetic instrument which has no intrinsic value. Hence, the recent seemingly illogical fluctuations in the market. According to trade theory, the unending purpose of a market or instrument is to create and break price ranges according to the laws of supply and demand. We must determine when to trade based on each market inflection point as defined in price and in time as opposed to abandoning the trend (as the contrarian trading in this sub often does). Time and Price symmetry must be used to be in accordance with the trend. When coupled with a favorable risk to reward ratio, the ability to stay in the market for most of the defined time period, and adherence to risk management rules; the trader has a solid methodology for achieving considerable gains. We will engage in a longer term market-oriented analysis to avoid any time-focused pressure. The Bitcoin market is open twenty-four-hours a day, so trading may be done when the individual is ready, without any pressing need to be constantly alert. Let alone, we can safely project months in advance with relatively high accuracy. Bitcoin is an asset which an individual can both trade and invest, however this article will be focused on trading due to the wide volatility in BTC prices over the short-term.
Technical Indicator Analysis of Bitcoin
Technical indicators are often considered self-fulfilling prophecies due to mass-market psychology gravitating towards certain common numbers yielded from them. They are also often discounted when it comes to BTC. That means a trader must be especially aware of these numbers as they can prognosticate market movements. Often, they are meaningless in the larger picture of things.
Volume – derived from the market itself, it is mostly irrelevant. The major problem with volume for stocks is that the US market open causes tremendous volume surges eradicating any intrinsic volume analysis. This does not occur with BTC, as it is open twenty-four-seven. At major highs and lows, the market is typically anemic. Most traders are not active at terminal discretes (peaks and troughs) because of levels of fear. Volume allows us confidence in time and price symmetry market inflection points, if we observe low volume at a foretold range of values. We can rationalize that an absolute discrete is usually only discovered and anticipated by very few traders. As the general market realizes it, a herd mentality will push the market in the direction favorable to defending it. Volume is also useful for swing trading, as chances for swing’s validity increases if an increase in volume is seen on and after the swing’s activation. Volume is steadily decreasing. Lows and highs are reached when volume is lower.
Therefore, due to the relatively high volume on the 12th of March, we can safely determine that a low for BTC was not reached.
VIX – Volatility Index, this technical indicator indicates level of fear by the amount of options-based “insurance” in portfolios. A low VIX environment, less than 20 for the S&P index, indicates a stable market with a possible uptrend. A high VIX, over 20, indicates a possible downtrend. VIX is essentially useless for BTC as BTC-based options do not exist. It allows us to predict the market low for $SPY, which will have an indirect impact on BTC in the short term, likely leading to the yearly low. However, it is equally important to see how VIX is changing over time, if it is decreasing or increasing, as that indicates increasing or decreasing fear. Low volatility allows high leverage without risk or rest. Occasionally, markets do rise with high VIX.
As VIX is unusually high, in the forties, we can be confident that a downtrend for the S&P 500 is imminent.
RSI (Relative Strength Index): The most important technical indicator, useful for determining highs and lows when time symmetry is not availing itself. Sometimes analysis of RSI can conflict in different time frames, easiest way to use it is when it is at extremes – either under 30 or over 70. Extremes can be used for filtering highs or lows based on time-and-price window calculations. Highly instructive as to major corrective clues and indicative of continued directional movement. Must determine if longer-term RSI values find support at same values as before. It is currently at 73.56.
Secondly, RSI may be used as a high or low filter, to observe the level that short-term RSI reaches in counter-trend corrections. Repetitions based on market movements based on RSI determine how long a trade should be held onto. Once a short term RSI reaches an extreme and stay there, the other RSI’s should gradually reach the same extremes. Once all RSI’s are at extreme highs, a trend confirmation should occur and RSI’s should drop to their midpoint.
Trend Definition Analysis of Bitcoin
Trend definition is highly powerful, cannot be understated. Knowledge of trend logic is enough to be a profitable trader, yet defining a trend is an arduous process. Multiple trends coexist across multiple time frames and across multiple market sectors. Like time structure, it makes the underlying price of the instrument irrelevant. Trend definitions cannot determine the validity of newly formed discretes. Trend becomes apparent when trades based in counter-trend inflection points continue to fail. Downtrends are defined as an instrument making lower lows and lower highs that are recurrent, additive, qualified swing setups. Downtrends for all instruments are similar, except forex. They are fast and complete much quicker than uptrends. An average downtrend is 18 months, something which we will return to. An uptrend inception occurs when an instrument reaches a point where it fails to make a new low, then that low will be tested. After that, the instrument will either have a deep range retracement or it may take out the low slightly, resulting in a double-bottom. A swing must eventually form. A simple way to roughly determine trend is to attempt to draw a line from three tops going upwards (uptrend) or a line from three bottoms going downwards (downtrend). It is not possible to correctly draw a downtrend line on the BTC chart, but it is possible to correctly draw an uptrend – indicating that the overall trend is downwards. The only mitigating factor is the impending stock market crash.
Time Symmetry Analysis of Bitcoin
Time is the movement from the past through the present into the future. It is a measurement in quantified intervals. In many ways, our perception of it is a human construct. It is more powerful than price as time may be utilized for a trade regardless of the market inflection point’s price. Were it possible to perfectly understand time, price would be totally irrelevant due to the predictive certainty time affords. Time structure is easier to learn than price, but much more difficult to apply with any accuracy. It is the hardest aspect of trading to learn, but also the most rewarding. Humans do not have the ability to recognize every time window, however the ability to define market inflection points in terms of time is the single most powerful trading edge. Regardless, price should not be abandoned for time alone. Time structure analysis It is inherently flawed, as such the markets have a fail-safe, which is Price Structure. Even though Time is much more powerful, Price Structure should never be completely ignored. Time is the qualifier for Price and vice versa. Time can fail by tricking traders into counter-trend trading. Time is a predestined trade quantifier, a filter to slow trades down, as it allows a trader to specifically focus on specific time windows and rest at others. It allows for quantitative measurements to reach deterministic values and is the primary qualifier for trends. Time structure should be utilized before price structure, and it is the primary trade criterion which requires support from price. We can see price structure on a chart, as areas of mathematical support or resistance, but we cannot see time structure. Time may be used to tell us an exact point in the future where the market will inflect, after Price Theory has been fulfilled. In the present, price objectives based on price theory added to possible future times for market inflection points give us the exact time of market inflection points and price. Time Structure is repetitions of time or inherent cycles of time, occurring in a methodical way to provide time windows which may be utilized for inflection points. They are not easily recognized and not easily defined by a price chart as measuring and observing time is very exact. Time structure is not a science, yet it does require precise measurements. Nothing is certain or definite. The critical question must be if a particular approach to time structure is currently lucrative or not. We will measure it in intervals of 180 bars. Our goal is to determine time windows, when the market will react and when we should pay the most attention. By using time repetitions, the fact that market inflection points occurred at some point in the past and should, therefore, reoccur at some point in the future, we should obtain confidence as to when SPY will reach a market inflection point. Time repetitions are essentially the market’s memory. However, simply measuring the time between two points then trying to extrapolate into the future does not work. Measuring time is not the same as defining time repetitions. We will evaluate past sessions for market inflection points, whether discretes, qualified swings, or intra-range. Then records the times that the market has made highs or lows in a comparable time period to the future one seeks to trade in. What follows is a time Histogram – A grouping of times which appear close together, then segregated based on that closeness. Time is aligned into combined histogram of repetitions and cycles, however cycles are irrelevant on a daily basis. If trading on an hourly basis, do not use hours.
Daily Lows Mode for those Months: 1, 1, 2, 4, 12, 17, 18, 24, 25, 28, 29, 30
Hourly Lows Mode for those Months (Military time): 0100, 0200, 0200, 0400, 0700, 0700, 0800, 1200, 1200, 1700, 2000, 2200
Minute Lows Mode for those Months: 00, 00, 00, 00, 00, 00, 09, 09, 59, 59, 59, 59
Day of the Week Lows (last twenty-six weeks):
Weighted Times are repetitions which appears multiple times within the same list, observed and accentuated once divided into relevant sections of the histogram. They are important in the presently defined trading time period and are similar to a mathematical mode with respect to a series. Phased times are essentially periodical patterns in histograms, though they do not guarantee inflection points Evaluating the yearly lows, we see that BTC tends to have its lows primarily at the beginning of every year, with a possibility of it being at the end of the year. Following the same methodology, we get the middle of the month as the likeliest day. However, evaluating the monthly lows for the past year, the beginning and end of the month are more likely for lows. Therefore, we have two primary dates from our histogram. 1/1/21, 1/15/21, and 1/29/21 2:00am, 8:00am, 12:00pm, or 10:00pm In fact, the high for this year was February the 14th, only thirty days off from our histogram calculations. The 8.6-Year Armstrong-Princeton Global Economic Confidence model states that 2.15 year intervals occur between corrections, relevant highs and lows. 2.15 years from the all-time peak discrete is February 9, 2020 – a reasonably accurate depiction of the low for this year (which was on 3/12/20). (Taking only the Armstrong model into account, the next high should be Saturday, April 23, 2022). Therefore, the Armstrong model indicates that we have actually bottomed out for the year! Bear markets cannot exist in perpetuity whereas bull markets can. Bear markets will eventually have price objectives of zero, whereas bull markets can increase to infinity. It can occur for individual market instruments, but not markets as a whole. Since bull markets are defined by low volatility, they also last longer. Once a bull market is indicated, the trader can remain in a long position until a new high is reached, then switch to shorts. The average bear market is eighteen months long, giving us a date of August 19th, 2021 for the end of this bear market – roughly speaking. They cannot be shorter than fifteen months for a central-bank controlled market, which does not apply to Bitcoin. (Otherwise, it would continue until Sunday, September 12, 2021.) However, we should expect Bitcoin to experience its’ exponential growth after the stock market re-enters a bull market. Terry Laundy’s T-Theory implemented by measuring the time of an indicator from peak to trough, then using that to define a future time window. It is similar to an head-and-shoulders pattern in that it is the process of forming the right side from a synthetic technical indicator. If the indicator is making continued lows, then time is recalculated for defining the right side of the T. The date of the market inflection point may be a price or indicator inflection date, so it is not always exactly useful. It is better to make us aware of possible market inflection points, clustered with other data. It gives us an RSI low of May, 9th 2020. The Bradley Cycle is coupled with volatility allows start dates for campaigns or put options as insurance in portfolios for stocks. However, it is also useful for predicting market moves instead of terminal dates for discretes. Using dates which correspond to discretes, we can see how those dates correspond with changes in VIX. Therefore, our timeline looks like:
2/14/20 – yearly high ($10372 USD)
3/12/20 – yearly low thus far ($3858 USD)
5/9/20 – T-Theory true yearly low (BTC between 4863 and 3569)
Genuine Q: Why Do New Traders Try Trading the Hyper-liquid Assets Dominated by Institutions/HFTs/Algos?
Serious question: not a knock on people who have found success with this! I'm genuinely curious why new traders try starting out by trading the hyper-liquid assets that are so heavily dominated by massive volume from institutions/HFTs/Hedge Funds/Algos etc? Large cap stocks, major forex pairs, commodities, and futures/ETFs/options on these? I would imagine retail wants to trade with other retail, but these assets are overwhelmingly dominated by "professionals". On the flip side, low cap stocks, obscure currencies, even crypto have a much much higher percentage of volume coming from retail. I would think that's where retail would want to start because it's so much easier to "beat" retail than it is to beat sophisticated algos. The liquidity is virtually infinite for a retail trader, so in theory there's unlimited upside, but you're competing with the largest and most sophisticated players in the world. For example HFTs trade on news within microseconds and transmit information across the country at close to the speed of light. The liquidity and order flow in SPX instruments comes from not only futures, SPY, underlyings (and options) but so much occurs inside darkpools that are invisible to retail. Edit: this reminds me of the study published here about futures day traders in Brazil. The study concluded, in essence, that retail traders trading the "Mini-Ibovespa futures" (Brazil's E-mini) essentially never profited in any meaningful sense. Of the 19646 day traders they followed, only 3% had any profit at all after 300 days, and only 0.4% made more than $54/day. The single best performer of the nearly 20k profited just $310/day with massive volatility to his/her daily profits. Also, traders didn't appear to get better over time. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3423101 Again not criticizing people who turn profit but it just seems so much harder to do. Thanks!
Paper money options executions on real time data but only seeing delayed data?
I'm a full time day trader with 10+ years of experience of trading forex and futures, recently I decided to expand and learn options trading. My real money account is with a another broker which does not appear to be very good for stocks nor options trading so I opened a paper money account to learn more about trading options and also test drive the platform to see if it would be worth it for me to switch broker or not. While paper trading options with ToS I was surprised how difficult it was to get filled even at the most popular options such as TSLA 1000 call at either nearest expiration or July monthly, even SPY could be tricky to get filled even at a nice round number price with huge open interest and decent daily volume. Market orders would get me filled way off the delayed price I see on my chart. Today I got even more confused, I bought two TSLA 950 puts for $11.40 and $13.20 respectively with OCO limit to take profit at $18.00 and $20 with stop loss at $10.00 for both. Soon after buying the first contract TSLA stock dropped and my put shot up to $19-20 but my limit at $18.00 wouldn't fill so after a couple of minutes I cancelled it and entered a new limit order to exit at market with the padlock icon open just to get filled but didn't. When price came down again I bough the second contract and shortly after both contracts got stopped out at 9.85 while my chart showed that price of that option was hovering around $14. We all know that paper money accounts have delayed data, in the platform it states that data is delayed 20 mins but it always appear to be 15 mins. Of course excatly 15 minutes after I got stopped out the chart and option chain showed my put to be priced at $9.85 which is really weird beacuse; That would mean that the price quotes in the option chains and on the charts are delayed but the option orders on paper money account are executed based on real time price data, is this correct? If correct it explains why it was so difficult for me to get filled but also means paper money is not at all as useful to test strategies or simply learning to use ToS effeciently. However it's a relief for me to know I'm not going crazy or really don't know what's going on...
I’m looking for any insight on day trading equities using a DOM ladder with a volume at price histogram. I know this is common practice in futures and forex trading with tools like Jigsaw. I’ve been trading using DAS and the standard TA toolset (chart/candle patterns, price action, time and sales, L2), but stumbled on a relatively rudimentary ladder-type view in TWS and that feels much more intuitive for me personally. Is anyone using DOM ladders to trade “in play” equities? Do you find it advantageous? Are there any tools you’d recommend?
So here it is, three more days and October begins, which marks one year of trading for me. I figured I would contribute to the forum and share some of my experience, a little about me, and what I've learned so far. Whoever wants to listen, that's great. This might get long so buckle up.. Three years ago, I was visiting Toronto. I don't get out much, but my roommate at the time travels there occasionally. He asked everyone at our place if we wanted to come along for a weekend. My roommate has an uncle that lives there and we didn't have to worry about a hotel because his uncle owns a small house that's unlived in which we could stay at. I was the only one to go with. Anyways, we walk around the city, seeing the sights and whatnot. My friend says to me "where next?" "I don't know, you're the tour guide" "We can go check out Bay Street" "what's 'Bay Street?'" "It's like the Canadian Wall street! If you haven't seen it you gotta see it!" Walking along Bay, I admire all the nice buildings and architecture, everything seems larger than life to me. I love things like that. The huge granite facades with intricate designs and towering pillars to make you think, How the fuck did they make that? My attention pivots to a man walking on the sidewalk opposite us. His gait stood out among everyone, he walked with such a purpose.. He laughed into the cell phone to his ear. In the elbow-shoving city environment, he moved with a stride that exuded a power which not only commanded respect, but assumed it. I bet HE can get a text back, hell he's probably got girls waiting on him. This dude was dressed to kill, a navy suit that you could just tell from across the street was way out of my budget, it was a nice fucking suit. I want that. His life, across the street, seemed a world a way from my own. I've worn a suit maybe twice in my life. For my first communion, it was too big for me, I was eleven or whatever so who gives a shit, right? I'm positive I looked ridiculous. The other time? I can't remember. I want that. I want the suit. I want the wealth, the independence.I want the respect and power, and I don't give a shit what anyone thinks about it. Cue self doubt. Well, He's probably some rich banker's son. That's a world you're born into. I don't know shit about it. \sigh* keep walking..* A year later, I'm visiting my parents at their house, they live an hour away from my place. My dad is back from Tennessee, his engineering job was laying people off and he got canned... Or he saw the end was near and just left... I don't know, hard to pay attention to the guy honestly because he kind of just drones on and on. ("Wait, so your mom lives in Michigan, but your dad moved to Tennessee... for a job?" Yea man, I don't fucking know, not going to touch on that one.) The whole project was a shit show that was doomed to never get done, the way he tells it. And he's obviously jaded from multiple similar experiences at other life-sucking engineer jobs. My mom is a retired nurse practitioner who no longer works because of her illness. I ask him what he's doing for work now and he tells me he trades stocks from home. I didn't even know you could do that. I didn't know "trading" was a thing. I thought you just invest and hope for the best. "Oh that's cool, how much money do you need to do that?" "Ehh, most say you need at least $25,000 as a minimum" "Oh... guess I can't do that..." Six months later, I get a call and it's my dad. We talk a little about whatever. Off topic, he starts asking if I'm happy doing what I'm doing (I was a painter, commercial and residential) I tell him yes but it's kind of a pain in the ass and I don't see it as a long term thing. Then he gets around to asking if I'd like to come work with him. He basically pitches it to me. I'm not one to be sold on something, I'm always skeptical. So I ask all the questions that any rational person would ask and he just swats them away with reassuring phrases. He was real confident about it. But basically he says for this to work, I have to quit my job and move back home so he can teach me how to trade and be by my side so I don't do anything stupid. "My Name, you can make so much money." I say that I can't raise the $25,000 because I'm not far above just living paycheck to paycheck. "I can help you out with that." Wow, okay, well... let me think about it. My "maybe" very soon turned into a "definitely." So over the next six months, I continue to work my day job painting, and I try to save up what I could for the transition (it wasn't a whole lot, I sucked at saving. I was great at spending though!). My dad gives me a book on day trading (which I will mention later) and I teach myself what I can about the stock market using Investopedia. Also in the meantime, my dad sends me encouraging emails. He tells me to think of an annual income I would like to make as a trader, and used "more than $100,000 but less than a million" as a guideline. He tells me about stocks that he traded that day or just ones that moved and describes the basic price action and the prices to buy and sell at. Basically saying "if you bought X amount of shares here and sold it at X price here, you could make a quick 500 bucks!" I then use a trading sim to trade those symbols and try to emulate what he says. Piece of cake. ;) Wow, that's way more than what I make in a day. He tells me not to tell anyone about my trading because most people just think it's gambling. "Don't tell your Mom either." He says most people who try this fail because they don't know how to stop out and take a loss. He talks about how every day he was in a popular chatroom, some noob would say something like, "Hey guys, I bought at X price (high of day or thereabout), my account is down 80% .. uhh I'm waiting for it to come back to my entry price.. what do I do??" Well shit, I'm not that fucking dumb. If that's all it takes to make it is to buy low, sell high, and always respect a stop then I'll be fantastic. By the end of September, I was very determined. I had been looking forward everyday to quitting my painting job because while it used to be something I loved, it was just sucking the life out of me at this point. Especially working commercial, you just get worked like a dog. I wasn't living up to my potential with that job and I felt awful for it every minute of every day. I knew that I needed a job where I could use my brain instead of slaving my body to fulfill someone else's dream. "Someone's gotta put gas in the boss's boat" That's a line my buddy once said that he probably doesn't know sticks with me to this day. It ain't me. So now it was October 2018, and I'm back living with Mom n' Pops. I was so determined that on my last day of work I gave away all of my painting tools to my buddy like, "here, I don't need this shit." Moving out of my rental was easy because I don't own much, 'can't take it with ya.' Excited for the future I now spend my days bundled up in winter wear in the cold air of our hoarder-like basement with a space heater at my feet. My laptop connected to a TV monitor, I'm looking at stocks next to my dad and his screens in his cluttered corner. Our Trading Dungeon. I don't trade any money, (I wasn't aware of any real-time sim programs) I just watch and learn from my dad. Now you've got to keep in mind, and look at a chart of the S&P, this is right at the beginning of Oct '18, I came in right at the market top. Right at the start of the shit-show. For the next three or four weeks, I watch my dad pretty much scratch on every trade, taking small loss after small loss, and cursing under his breath at the screen. Click. "dammit." Click. "shit." Click. Click. "you fuck." Click. This gets really fucking annoying as time goes on, for weeks, and I get this attitude like ugh, just let me do it. I'll make us some fucking money. So I convince him to let me start trading live. I didn't know anything about brokers so I set up an account using his broker, which was Fidelity. It was a pain and I had to jump through a lot of hoops to be able to day trade with this broker. I actually had to make a joint account with my dad as I couldn't get approved for margin because my credit score is shit (never owned a credit card) and my net worth, not much. Anyways, they straight up discourage day trading and I get all kinds of warning messages with big red letters that made me shit myself like oooaaahhh what the fuck did I do now. Did I forget to close a position?? Did I fat finger an order? Am I now in debt for thousands of dollars to Fidelity?? They're going to come after me like they came after Madoff. Even after you are approved for PDT you still get these warning messages in your account. Some would say if I didn't comply with "whatever rule" they'd even suspend my account for 60 days. It was ridiculous, hard to describe because it doesn't make sense, and it took the support guy on the phone a good 20 minutes to explain it to me. Basically I got the answer "yea it's all good, you did nothing wrong. As long as you have the cash in your account to cover whatever the trade balance was" So I just kept getting these warnings that I had to ignore everyday. I hate Fidelity. My fist day trading, I made a few so-so trades and then I got impatient. I saw YECO breaking out and I chased, soon realized I chased, so I got out. -$500. Shit, I have to make that back, I don't want my dad to see this. Got back in. Shit. -$400. So my first day trading, I lost $900. My dumbass was using market orders so that sure didn't help. I reeled the risk back and traded more proper position size for a while, but the commissions for a round trip are $10, so taking six trades per day, I'm losing $60 at a minimum on top of my losing trades. Quickly I realized I didn't know what the hell I was doing. What about my dad? Does HE know? One day, in the trading dungeon, I was frustrated with the experience I'd been having and just feeling lost overall. I asked him. "So, are you consistently profitable?" "mmm... I do alright." "Yea but like, are you consistently profitable over time?" ......................... "I do alright." Silence. "Do you know any consistently profitable traders?" "Well the one who wrote that book I gave you, Tina Turner.. umm and there's Ross Cameron" ...................... "So you don't know any consistently profitable traders, personally.. People who are not trying to sell you something?" "no." ................... Holy fucking shit, what did this idiot get me into. He can't even say it to my face and admit it. This entire life decision, quitting my job, leaving my rental, moving from my city to back home, giving shit away, it all relied on that. I was supposed to be an apprentice to a consistently profitable day trader who trades for a living. It was so assumed, that I never even thought to ask! Why would you tell your son to quit his job for something that you yourself cannot do? Is this all a scam? Did my dad get sold a DREAM? Did I buy into some kind of ponzi scheme? How many of those winning trades he showed me did he actually take?Are there ANY consistently profitable DAY TRADERS who TRADE FOR A LIVING?Why do 90% fail? Is it because the other 10% are scamming the rest in some way? Completely lost, I just had no clue what was what. If I was going to succeed at this, if it was even possible to succeed at this, it was entirely up to me. I had to figure it out. I still remember the feeling like an overwhelming, crushing weight on me as it all sunk in. This is going to be a big deal.. I'm not the type to give up though. In that moment, I said to myself, I'm going to fucking win at this. I don't know if this is possible, but I'm going to find out. I cannot say with certainty that I will succeed, but no matter what, I will not give up. I'm going to give all of myself to this. I will find the truth. It was a deep moment for me. I don't like getting on my soapbox, but when I said those things, I meant it. I really, really meant it. I still do, and I still will. Now it might seem like I'm being hard on my dad. He has done a lot for me and I am very grateful for that. We're sarcastic as hell to each other, I love the bastard. Hell, I wouldn't have the opportunity to trade at all if not for him. But maybe you can also understand how overwhelmed I felt at that time. Not on purpose, of course he means well. But I am not a trusting person at all and I was willing to put trust into him after all the convincing and was very disappointed when I witnessed the reality of the situation. I would have structured this transition to trading differently, you don't just quit your job and start trading. Nobody was there to tell me that! I was told quite the opposite. I'm glad it happened anyway, so fuck it. I heard Kevin O'Leary once say, "If I knew in the beginning how difficult starting a business was, I don't know that I ever would've started." This applies very much to my experience. So what did I do? Well like everyone I read and read and Googled and Youtube'd my ass off. I sure as hell didn't pay for a course because I didn't have the money and I'm like 99% sure I would be disappointed by whatever they were teaching as pretty much everything can be found online or in books for cheap or free. Also I discovered Thinkorswim and I used that to sim trade in real-time for three months. This is way the hell different than going on a sim at 5x speed and just clicking a few buy and sell buttons. Lol, useless. When you sim trade in real-time you're forced to have a routine, and you're forced to experience missing trades with no chance to rewind or skip the boring parts. That's a step up because you're "in it". I also traded real money too, made some, lost more than I made. went back to sim. Traded live again, made some but lost more, fell back to PDT. Dad fronted me more cash. This has happened a few times. He's dug me out of some holes because he believes in me. I'm fortunate. Oh yeah, about that book my dad gave me. It's called A Beginner's Guide to Day Trading Online by Toni Turner. This book... is shit. This was supposed to be my framework for how to trade and I swear it's like literally nothing in this book fucking works lol. I could tell this pretty early on, intuitively, just by looking at charts. It's basically a buy-the-breakout type strategy, if you want to call it a strategy. No real methodology to anything just vague crap and showing you cherry-picked charts with entries that are way too late. With experience in the markets you will eventually come to find that MOST BREAKOUTS FAIL. It talks about support/resistance lines and describes them as, "picture throwing a ball down at the floor, it bounces up and then it bounces down off the ceiling, then back up." So many asinine assumptions. These ideas are a text book way of how to trade like dumb money. Don't get me wrong, these trades can work but you need to be able to identify the setups which are more probable and identify reasons not to take others. So I basically had to un-learn all that shit. Present day, I have a routine in place. I'm out of the dungeon and trade by myself in my room. I trade with a discount broker that is catered to day traders and doesn't rape me on commissions. My mornings have a framework for analyzing the news and economic events of the particular day, I journal so that I can recognize what I'm doing right and where I need to improve. I record my screens for later review to improve my tape reading skills. I am actually tracking my trades now and doing backtesting in equities as well as forex. I'm not a fast reader but I do read a lot, as much as I can. So far I have read about 17-18 books on trading and psychology. I've definitely got a lot more skilled at trading. As of yet I am not net profitable. Writing that sounds like selling myself short though, honestly. Because a lot of my trades are very good and are executed well. I have talent. However, lesser quality trades and trades which are inappropriately sized/ attempted too many times bring down that P/L. I'm not the type of trader to ignore a stop, I'm more the trader that just widdles their account down with small losses. I trade live because at this point, sim has lost its value, live trading is the ultimate teacher. So I do trade live but I just don't go big like I did before, I keep it small. I could show you trades that I did great on and make people think I'm killing it but I really just don't need the validation. I don't care, I'm real about it. I just want to get better. I don't need people to think I'm a genius, I'm just trying to make some money. Psychologically, to be honest with you, I currently feel beaten down and exhausted. I put a lot of energy into this, and sometimes I work myself physically sick, it's happened multiple times. About once a week, usually Saturday, I get a headache that lasts all day. My body's stress rebound mechanism you might call it. Getting over one of those sick periods now, which is why I barely even traded this week. I know I missed a lot of volatility this week and some A+ setups but I really just don't give a shit lol. I just currently don't have the mental capital, I think anyone who's been day trading every day for a year or more can understand what I mean by that. I'm still being productive though. Again, I'm not here to present an image of some badass trader, just keeping it real. To give something 100% day after day while receiving so much resistance, it takes a toll on you. So a break is necessary to avoid making bad trading decisions. That being said, I'm progressing more and more and eliminating those lesser quality trades and identifying my bad habits. I take steps to control those habits and strengthen my good habits such as having a solid routine, doing review and market research, taking profits at the right times, etc. So maybe I can give some advice to some that are new to day trading, those who are feeling lost, or just in general thinking "...What the fuck..." I thought that every night for the first 6 months lol. First of all, manage expectations. If you read my story of how I came to be a trader, you can see I had a false impression of trading in many aspects. Give yourself a realistic time horizon to how progress should be made. Do not set a monetary goal for yourself, or any time-based goal that is measured in your P/L. If you tell yourself, "I want to make X per day, X per week, or X per year" you're setting yourself up to feel like shit every single day when it's clear as the blue sky that you won't reach that goal anytime soon. As a matter of fact, it will appear you are moving further AWAY from that goal if you just focus on your P/L, which brings me to my next point. You will lose money. In the beginning, most likely, you will lose money. I did it, you'll do it, the greatest Paul Tudor Jones did it. Trading is a skill that needs to be developed, and it is a process. Just look at it as paying your tuition to the market. Sim is fine but don't assume you have acquired this skill until you are adept at trading real money. So when you do make that leap, just trade small. Just survive. Trade small. get the experience. Protect your capital. To reach break even on your bottom line is a huge accomplishment. In many ways, experience and screen time are the secret sauce. Have a routine. This is very important. I actually will probably make a more in-depth post in the future about this if people want it. When I first started, I was overwhelmed with the feeling "What the fuck am I supposed to DO?" I felt lost. There's no boss to tell you how to be productive or how to find the right stocks, which is mostly a blessing, but a curse for new traders. All that shit you see, don't believe all that bullshit. You know what I'm talking about. The bragposting, the clickbait Youtube videos, the ads preying on you. "I made X amount of money in a day and I'm fucking 19 lolz look at my Lamborghini" It's all a gimmick to sell you the dream. It's designed to poke right at your insecurities, that's marketing at it's finest. As for the bragposting on forums honestly, who cares. And I'm not pointing fingers on this forum, just any trading forum in general. They are never adding anything of value to the community in their posts. They never say this is how I did it. No, they just want you to think they're a genius. I can show you my $900 day trading the shit out of TSLA, but that doesn't tell the whole story. Gamblers never show you when they lose, you might never hear from those guys again because behind the scenes, they over-leveraged themselves and blew up. Some may actually be consistently profitable and the trades are 100% legit. That's fantastic. But again, I don't care, and you shouldn't either. You shouldn't compare yourself to others. "Everyone's a genius in a bull market" Here's the thing.. Markets change. Edges disappear. Trading strategies were made by traders who traded during times when everything they did worked. Buy all the breakouts? Sure! It's the fucking tech bubble! Everything works! I'm sure all those typical setups used to work fantastically at some point in time. But the more people realize them, the less effective they are. SOMEONE has to be losing money on the opposite side of a winning trade, and who's willing to do that when the trade is so obvious? That being said, some things are obvious AND still work. Technical analysis works... sometimes. The caveat to that is, filters. You need to, in some way, filter out certain setups from others. For example, you could say, "I won't take a wedge pattern setup on an intraday chart unless it is in a higher time frame uptrend, without nearby resistance, and trading above average volume with news on that day." Have a plan. If you can't describe your plan, you don't have one. Think in probabilities. You should think entirely in "if, then" scenarios. If X has happens, then Y will probably happen. "If BABA breaks this premarket support level on the open I will look for a pop up to short into." Backtest. Most traders lose mainly because they think they have an edge but they don't. You read these books and all this stuff online telling you "this is a high probability setup" but do you know that for a fact? There's different ways to backtest, but I think the best way for a beginner is manual backtesting with a chart and an excel sheet. This builds up that screen time and pattern recognition faster. This video shows how to do that. Once I saw someone do it, it didn't seem so boring and awful as I thought it was. Intelligence is not enough. You're smarter than most people, that's great, but that alone is not enough to make you money in trading necessarily. Brilliant people try and fail at this all the time, lawyers, doctors, surgeons, engineers.. Why do they fail if they're so smart? It's all a fucking scam. No, a number of reasons, but the biggest is discipline and emotional intelligence. Journal every day.K no thanks, bro. That's fucking gay. That's how I felt when I heard this advice but really that is pride and laziness talking. This is the process you need to do to learn what works for you and what doesn't. Review the trades you took, what your plan was, what actually happened, how you executed. Identify what you did well and what you can work on. This is how you develop discipline and emotional intelligence, by monitoring yourself. How you feel physically and mentally, and how these states affect your decision-making. Always be learning. Read as much as you can. Good quality books. Here's the best I've read so far; Market Wizards -Jack Schwager One Good Trade -Mike Bellafiore The Daily Trading Coach -Bret Steenbarger Psycho-cybernetics -Maxwell Maltz Why You Win or Lose -Fred Kelly The Art and Science of Technical Analysis -Adam Grimes Dark Pools -Scott Patterson Be nimble. Everyday I do my research on the symbols I'm trading and the fundamental news that's driving them. I might be trading a large cap that's gapping up with a beat on EPS and revenue and positive guidance. But if I see that stock pop up and fail miserably on the open amidst huge selling pressure, and I look and see the broader market tanking, guess what, I'm getting short, and that's just day trading. The movement of the market, on an intraday timeframe, doesn't have to make logical sense. Adapt. In March I used to be able to buy a breakout on a symbol and swing it for the majority of the day. In the summer I was basically scalping on the open and being done for the day. Volatility changes, and so do my profit targets. Be accountable. Be humble. Be honest. I take 100% responsibility for every dime I've lost or made in the market. It's not the market makers fault, it wasn't the HFTs, I pressed the button. I know my bad habits and I know my good habits.. my strengths/ my weaknesses. Protect yourself from toxicity. Stay away from traders and people on forums who just have that negative mindset. That "can't be done" mentality. Day trading is a scam!! It can certainly be done. Prove it, you bastard. I'm posting to this particular forum because I don't see much of that here and apparently the mods to a good job of not tolerating it. As the mod wrote in the rules, they're most likely raging from a loss. Also, the Stocktwits mentality of "AAPL is going to TANK on the open! $180, here we come. $$$" , or the grandiose stories, "I just knew AMZN was going to go up on earnings. I could feel it. I went ALL IN. Options money, baby! ka-ching!$" Lol, that is so toxic to a new trader. Get away from that. How will you be able to remain nimble when this is your thought process? Be good to yourself. Stop beating yourself up. You're an entrepreneur. You're boldly going where no man has gone before. You've got balls. Acknowledge your mistakes, don't identify with them. You are not your mistakes and you are not your bad habits. These are only things that you do, and you can take action necessary to do them less. It doesn't matter what people think. Maybe they think you're a fool, a gambler. You don't need their approval. You don't need to talk to your co-workers and friends about it to satisfy some subconscious plea for guidance; is this a good idea? You don't need anyone's permission to become the person you want to be. They don't believe in you? Fuck 'em. I believe in you.
Forex trading is a huge market that started in the 1970s. Trillions are traded in foreign exchange on a daily basis. Whether you are an experienced trader or an absolute beginner to online forex trading, finding the best forex broker and a profitable forex day trading strategy or system is complex. So learn the fundamentals before choosing the best path for you. Das Volume Profile kann nur für Märkte wie etwa die Futures-Märkte verwendet werden, in denen ein repräsentatives Volumen zur Verfügung steht. Der „Time Price Opportunities“ Indikator, der ebenfalls im NanoTrader verfügbar ist, verfolgt ein ähnliches Konzept, kann aber auch für Instrumente wie CFD oder Forex verwendet werden, für welche kein repräsentatives Volumen zur Verfügung ... In trading, the term volume represents the number of units that change hands for stocks or futures contracts over a specific time period. Traders rely on it as a key metric because it lets them know the liquidity level of an asset, and how easily they can get into or out of a position close to the current price, which can be a moving target. Dollar volume seeks to track the net quantity of US dollars (or US dollar equivalents) that trade in a given day for a particular asset. It is generally not displayed on anything less than the daily chart on most trading software. Getting reliable volume data from a forex dealer is impossible, as forex trading is decentralised, so nobody has all the information. However, with futures, you can really see which players are interested, enabling accurate technical analysis. Drawbacks. Despite there being numerous reasons for day trading futures, there remain two serious disadvantages. 1. Fees. It can be extremely easy to ... What Trading Volume Can Tell Us. Alright, if you don't know anything about volume, then let's take a look at how trading volume in stocks works first, because it is a smaller market and it is easier to explain the concepts. Even though this is not about Forex trading, it will give you a lot of context for the Forex market, later in this post. Volume indicators measure the strength of a price-move by using the information of trading volume. While volume indicators are very popular among stock traders, Forex traders can’t take much advantage of them since they’re no reliable measures of trading volume in the currency market. Popular volume indicators are the Chaikin oscillator and On-Balance Volume (OBV).
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