Basic Historical Data Downloader - FXCM Apps Store

You can use TD Ameritrade's real-time equity data for free, for paper trading without the 20-minute delay.

In case people didn't know, if you use a platform which "contains" a paper trading acccount, rather than relying on the TOS platform entirely, you can take advantage of the free real-time US equity data for paper trading. So to keep this simple you can get NinjaTrader for free here, it's generally considered a free platform for those who didn't know. https://ninjatrader.com/FreeLiveData When you get NT through this method, you can pick Futures or Forex data. You can go back and fill out each one if you'd like say, do Futures first (that'll be through CQG and give you a lot of data for 7 days or 14, I can't recall) and the Forex through FXCM. Regardless, you don't have to use either one if you don't want. After that you'll be able to download NT installer, I always go with NinjaTrader 8, it works well. Rather than 7, that is.
Simply click "connections" in the main panel once it's open, and add a TD Ameritrade connection with the same login/pass you'd use to login to TOS or your TD/AT online account.
One important thing to note: If you want tick data, at the least NinjaTrader will say give you 10 tick, 2, 1 tick or even intervals like 1s (literally type 1s or 10s or 1t 3t 10t etc and hit enter when you have a chart open) but I believe it's derived from the bar data, if that makes sense. Also if you're viewing anything less than the 1 minute bar timeframe, itll just start off at the time you've opened the chart with such tick/second/range/interval data, and no historical on the chart. So if I'm doing that I like to open a second chart in another tab of the same instrument to show the historical data.
So the paper trading account is within the NT platform, and so long as you make sure you have set up your default account to be say Sim101, the usual name of the default paper trading account, you won't be actually executing trades through the TD Ameritrade broker, but you get to trade on real-time data.
Between this being free data, the possibility of using Rithmic, CQG and FXCM trials for futures and forex, you can get basically all free data. For a paper trader like me, that's nice because I have no skin the game... I think that's the saying.
Keep in mind I'm not promoting NinjaTrader in any commercial capacity and have no affiliation with them whatsoever as a company or in any manner I can conceive. There's one other platform I use which isn't free that's compatible with TD Ameritrade's data and that's called MotiveWave. It also does support simulated trading very very well. I suggest checking it out and I'll just say Google MotiveWaveTM 4.2.8 Ultimate Edition ;) Hope this isn't just old news everyone here has known. If so, let me know. Happy trading and hope this coming trading week is a good one.
Edit: Some other resources which at least have free trials available without necessarily needing any payment info I find useful are: 1) www.livesquawk.com (Especially Steve K's market signals... I've only heard of McAffe's signals but never tried them, however Steve K is a good guy and seems to really know what he's doing. Tl;dr, they work for me in paper trading).
2) https://www.tradethenews.com - you need a linkedin with 5 or more connections to get the free trial but they have a great squawk service with a guy from NYC who seems to be on literally almost 24 hours a day 5 days a week.
3) https://pro.benzinga.com - a Bloomberg Terminal alternative basically, but not as fancy... for more fancy see:
4) http://www.metastock.com/fundsoft4 This one isn't really explained the best on their own site, in my opinion but I've been using the free 30 day trial and what it is, is Metastock's own way of selling Reuters Eikon service. Eikon is about the best Bloomberg Terminal alternative I've found yet in many years of searching. I'm more into looking at data and figuring out how plats work than the actual trading in some ways. Important note on this one: Once you do have a trial, and they take a little while to rubber stamp it so be patient with the emails they send, you can login through the regular Reuters Eikon web login if you wish rather than using the Windows standalone program. They're the same one's just web-baed.
5) Lastly for now, https://www.money.net - definitely worth checking out. Has it's own live squawk for news during trading hours and definitely no payment info needed for a trial. You can login once trial acquired via login.money.net or the now 'legacy' installable platform. They're both good but I'm not crazy about the iOS/Android versions at all.
submitted by FraterThelemaSucks to stocks [link] [comments]

Using Python and Pandas to explore trader sentiment data

FXCM’s Speculative Sentiment Index (SSI) focuses on buyers and sellers, comparing how many are active in the market and producing a ratio to indicate how traders are behaving in relation to a particular currency pair. A positive SSI ratio indicates more buyers are in the market than sellers, while a negative SSI ratio indicates that more sellers are in the market. FXCM’s sentiment data was designed around this index, providing 12 sentiment measurements per minute (click here for an overview of each measurement.)
The sample data is stored in a GNU compressed zip file on FXCM’s GitHub as https://sampledata.fxcorporate.com/sentiment/{instrument}.csv.gz. To download the file, we’ll use this URL, but change {instrument} to the instrument of our choice. For this example we’ll use EUUSD price.
import datetime import pandas as pd url = 'https://sampledata.fxcorporate.com/sentiment/EURUSD.csv.gz' data = pd.read_csv(url, compression='gzip', index_col='DateTime', parse_dates=True) """Convert data into GMT to match the price data we will download later""" import pytz data = data.tz_localize(pytz.timezone('US/Eastern')) data = data.tz_convert(pytz.timezone('GMT')) """Use pivot method to pivot Name rows into columns""" sentiment_pvt = data.tz_localize(None).pivot(columns='Name', values='Value') 
Now that we have downloaded sentiment data, it would be helpful to have the price data for the same instrument over the same period for analysis. Note the sentiment data is in 1-minute increments, so I will need to pull 1-minute EURUSD candles. We could pull this data into a DataFrame quickly and easily using fxcmpy, however the limit of the number of candles we can pull using fxcmpy is 10,000, which is fewer than the number of 1-minute candles in January 2018. Instead, we can download the candles in 1-week packages from FXCM’s GitHub and create a loop to compile them into a DataFrame. This sounds like a lot of work, but really it’s only a few lines of code. Similarly to the sentiment data, historical candle data is stored in GNU zip files which can be called by their URL.
url = 'https://candledata.fxcorporate.com/' periodicity='m1' ##periodicity, can be m1, H1, D1 url_suffix = '.csv.gz' symbol = 'EURUSD' start_dt = datetime.date(2018,1,2)##select start date end_dt = datetime.date(2018,2,1)##select end date start_wk = start_dt.isocalendar()[1] end_wk = end_dt.isocalendar()[1] year = str(start_dt.isocalendar()[0]) data=pd.DataFrame() for i in range(start_wk, end_wk+1): url_data = url + periodicity + '/' + symbol + '/' + year + '/' + str(i) + url_suffix print(url_data) tempdata = pd.read_csv(url_data, compression='gzip', index_col='DateTime', parse_dates=True) data=pd.concat([data, tempdata]) """Combine price and sentiment data""" frames = data['AskClose'], sentiment_pvt.tz_localize(None) combineddf = pd.concat(frames, axis=1, join_axes=[sentiment_pvt.tz_localize(None).index], ignore_index=False).dropna() combineddf 
At this point you can begin your exploratory data analysis. We started by viewing the descriptive statistics of the data, creating a heatmap of the correlation matrix, and plotting a histogram of the data to view its distribution. View this articleto see our sample code and the results.
submitted by JasonRogers to AlgoTradingFXCM [link] [comments]

Forex Sentiment Data Overview, it's Application in Algo trading, and Free Sample Data

From Commitment of Traders (COT) to the Daily Sentiment Index (DSI), to the Put/Call ratio and more, sentiment data has long been highly sought after by both professional and retail traders in the mission to get an edge in the market. Equity and futures traders can access this market data relatively easily due to the centralization of the market they are trading.

But what about Forex traders? There is no single centralized exchange for the Foreign Exchange market therefore sentiment data is difficult to obtain and can be extremely pricey for Forex traders. Furthermore, if a trader had access to such data, the sample set may be limited and not closely reflect the actual market.

In order for Forex sentiment data to be valuable, the data must be derived from a large, far reaching sample of Forex traders. FXCM boasts important Forex trading volumes and a significant trader sample and the broker’s large sample size is one of the most representative samples of the entire retail Forex market. Therefore, the data can be used to help predict movement of the rate of an instrument in the overall market.

This sentiment data shows the retail trader positioning and is derived from the buyer-to-seller ratio among retail FXCM traders. At a glance, you can see historical and current trader positioning in the market. A positive ratio indicates there are more traders that are long for every trader that is short. A negative ratio is indicative of a higher number of traders that are short for every long trader. For example, a ratio of 2.5 would mean that there are 2.5 traders that are long for every short trader and -2.5 would mean just the opposite.

When it comes to algo trading, sentiment can be used as a contrarian indicator to help predict potential moves and locate trading opportunities. When there is an extreme ratio or net volume reading, the majority of traders are either long or short a specific instrument. It is expected that the traders who are currently in these positions will eventually close out therefore bring the ratio back to neutral. Consequently, there tends to be a sharp price movement or a reversal.

When extremes like this are present in the market, a mean reversion automated strategy can be implemented to take advantage of the moves in the market that are expected to ensue. If sentiment is skewed very high or very low, price is moving away from the mean. However, over time it is expected to regress back to the mean resulting in a more neutral reading. Neutral would be considered a number close to 1.0 or -1.0. It is recommended that a confirmation indicator or two be coded into the mean reversion strategy as well.

Free one-month sample of the historical Sentiment Data can be accessed by pasting this link in your browser https://sampledata.fxcorporate.com/sentiment/{instrument}.csv.gz and changing the {instrument}: to the pair or CFD you would like to download data for. For example, for USD/JPY data download you would use this link: https://sampledata.fxcorporate.com/sentiment/USDJPY.csv.gz.
When the file downloads, it will be a GNU zip compressed file so you will need to use a decompression utility to open it. To open the file with 7zip, open the downloads folder, click on your file, and click ‘copy path’. Then open 7Zip and paste your clipboard into the address bar and click enter. Then click the ‘extract’ button. This will open a window where you can designate a destination to copy your new csv file. Click OK, and navigate back to your file explorer to see your csv file.
You can find more details about the sentiment data by checking out FXCM’s Github page: https://github.com/fxcm/MarketData/tree/masteSentiment
submitted by JasonRogers to AlgoTradingFXCM [link] [comments]

How To Download Free Historical Data With Metatrader 4 ... How To Download Historic Data Using The MetaTrader 4 ... How to View or Download Historical Data in MT4  See Upto 50 Year Previous Chart In Metatrader 4 Installing FXCM For FX Live Data How to Download Free Forex Historical Data - YouTube Algo Trading Webinar Series - Python and Historical Tick Data How To Download Historical Data in Metatrader 4 - YouTube

FXCM started public beta testing of their new Strategy Trader trading platform back in March. They are positioning their new platform historical a superior alternative to MetaTrader 4 and the forthcoming MetaTrader 5. They describe forex as:. The Next Evolution in Automated Trading fxcm A Free Institutional Fxcm Platform [including] historical data, advanced back-testing and integrated data. FXCM-Forex-Data-Downloader. Simple python script that bulk downloads historical data from FXCM Free download of 17 years of data. Down to 1m timeframe The Basic Historical Data Downloader (HDD) allows you to quickly and easily import mountains of price data directly from FXCM, making it possible to back-test strategies with up to 10 years of data. The data available Includes: 39 currency pairs including majors and exotics* Contracts for Difference (CFDs) including equities, metals, and oil; 1min, 5min, 15min, 30min, 1hour, 4hour, 1day, 1week ... How to download our free historical data? Price: Bid. Time: GMT (no Daylight Saving Time) Quality: one of the best free sources. Here you can download free history data for the most common currency pairs (source: Basic (Forexite free data)): Symbol Data Range Size; AUDJPY: Jan 2001 - 10/31/2020: 35.8 MB : AUDUSD: Jan 2001 - 10/31/2020: 33.4 MB : CHFJPY: Jan 2001 - 10/31/2020: 36.0 MB : EURCAD ... Historical Forex data delivered in ASCII text files for easy integration (e.g. OneTick ... and the ability to make the data available for download after markets close each day. Every provider we use meets our high standards for completeness and accuracy. Available Intervals For all Forex pairs, we offer tick-by-tick quote data. This provides clients with the ability to analyze every single ... Steps to access free forex historical data and forex data for forex (currency) pairs: Step 1: Choose the forex currency pair(s) to query by checking individual close-high-low or check all . Step 2: Enter the start and close range dates for the forex data. Reenter the START and/or STOP DATE in the boxes if necessary. The format must be "mm/dd/yyyy". Click on the calendar icons or links and ... For a more convenient access you can Download the Forex Historical Data by FTP. Get your FTP or SFTP access, via PayPal, here: For more details: Download by FTP DataFiles Last Updated at: 2020-08-31 22:00. Get Automatic Updates! You can get the Forex Historical Data Automatic Updates using Google Drive! Subscribe, via PayPal, here: Select File Format: GoogleDrive/GMail Address: For more ... Fxcm forex historical data download. 05.06.2017 agl666 5 Comments . FXCM offers many quality and cost-effective market data solutions. Volume, trader sentiment, and other ready-to-go trading tools turn FXCM data into powerful market insights, which you won't find anywhere else. Try our entry-level data solutions for free or gain access to premium data for a cost. Our service includes products ... When you start out as a fresher Fxcm Forex Historical Data Download in the binary options trading industry, you must know all the ins & outs about this system. If you are not aware of the major terms and the overall process then, I would suggest you to follow this site: and go through the informative articles. He writes really good and highly informative articles Fxcm Forex Historical Data ...

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How To Download Free Historical Data With Metatrader 4 ...

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