Forex Correlations Heatmap — Indicator by everget ...

Some tools free from Onada's site.

I am not associated with Onada in any way, just thought these were interesting and didn't know about them until recently.
Volatility Graph: Zero in on which currency pairs show the most significant price fluctuations over various time periods.
https://www.oanda.com/forex-trading/analysis/currency-volatility
 
Currency Correlation: See how currency pairs have moved relative to each other https://www.oanda.com/forex-trading/analysis/currency-correlation
 
Candlestick Patterns: See candlestick patterns plotted over recent currency movements.
https://www.oanda.com/forex-trading/analysis/candlestick-patterns
 
Currency Strength Heatmap: See the percentage change and rank of each currency relative to other currencies traded against it.
https://www.oanda.com/forex-trading/analysis/currency-heatmap
 
Market Trading Hours: See global forex trading hours and statuses.
https://www.oanda.com/forex-trading/analysis/market-hours
 
Official Economic Figures: Access more than 150 economic figures from the world's major markets.
https://www.oanda.com/forex-trading/analysis/economic-indicators/
 
OANDA Forex Open Position Ratios: A summary of open positions held by OANDA clients
https://www1.oanda.com/forex-trading/analysis/open-position-ratios
 
OANDA Forex Order Book: A 24-hour summary of open orders and positions held by OANDA's clients.
https://www1.oanda.com/forex-trading/analysis/forex-order-book
 
edit: Article about: Using Oanda’s Orderbook To Trade Stop Hunts
https://www.forexmentoronline.com/using-oandas-orderbook-to-trade-stop-hunts/
Again, interesting but i'm just starting out, little to advanced for me right now.
submitted by Oatmeal_or_Porridge to Forex [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]

My Forex Heatmap Becomes mymarketheatmap Trading with Correlation using HeatMap Pro w/ Steph T. OFA Currency Heatmap Currency heatmap indicator for MT4 in action - YouTube

Die Forex-Heatmap ist eine Auflistung von Tabellen, die die relativen Stärken der Währungspaare im Vergleich zueinander anzeigen. Dieser Aufbau bietet eine Übersicht über den Devisenmarkt für ... Real time currency heat map analysis by timeframe. Know how forex pairs are currently doing in relation to each other. Forex Market Overview Ideas Rates . Cross Rates . Currency Indices Economic Calendar . Take your trading to the next level Start free trial. See the most traded currency crosses that are displayed by popularity and regions. Switch between the Prices and Heat Map modes to see the latest price updates along with the strongest and weakest currencies. The table lets you compare cross rates and ... Correlation Heatmap indicator Post # 1; Quote; First Post: May 8, 2012 4:08am May 8, 2012 4:08am Tyoon. Joined Nov 2011 Status: Member 1,271 Posts. I would like to measure the strength/weakness of a currency based on it's pairs. I have been exploring this with my current indicator (see attachment). This is fine for tracking the currencies by time frames, however, I would like to track the ... A utility tool to find linear relationships between major forex pairs and specified symbol. Features 30 well known forex pairs (Pine Script has its limits and incomprehensible "study" errors) Ability to specify any symbol to see correlations Ability to specify a preferred timeframe Ability to specify correlation lookback Ability to specify different sources (standard prices, volumes, true ... Forex Correlation Heatmap and Correlation Table . August 22, 2008 Share Print 3. What is correlation? Wikipedia Definition: In probability theory and statistics, correlation, (often measured as a ... Forex Correlation Heatmap and Correlation Table. What is correlation? Wikipedia Definition: In probability theory and statistics. correlation . (often measured as a correlation coefficient ), indicates the strength and direction of a linear relationship between two random variables. In general statistical usage, correlation or co-relation refers to the departure of two variables from ...

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My Forex Heatmap Becomes mymarketheatmap

Forex Basics - Lot Sizes, ... Using Currency Correlation to Reduce Risk and Increase Profit - Duration: 5:14. 10XROI Trading System 1,849 views. 5:14. Currency heatmap indicator for MT4 in action ... Forex HACK [EASY M AND W ... Currency Correlation: Using Currency Correlation to Reduce Risk and Increase Profit - Duration: 5:14. 10XROI Trading System 1,824 views. 5:14. Currency heatmap ... Discover more at http://www.quantumtrading.com Risk Disclosure: https://goo.gl/nnmrwP http://www.quantumtrading.com. In this short video we show the currency... Currency heatmap indicator for MT4 in action - Duration: 14 ... Currency Correlation: Using Currency Correlation to Reduce Risk and Increase Profit - Duration: 5:14. 10XROI Trading System 1,812 ...

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