Market-Analysis
Unverified ML strategy on Forex by Financial-ML. BotFinder score 18 out of 100.
Machine Learning techniques that help analyse Forex market.
Source: github
BotFinder analysis pending.
Market-Analysis
Market-Analysis Overview In Market Analysis we build the basics tools that help us to predict the market by connect to MQL4 in a real time from other programing languge , create a dataset by pulling data from the market , Analysis the data using different Machine Learning techniques , and test it in MQL4 with real time trading. Components Dataset ML-Models Connection Tester Dataset Introduction Create a Dataset for any symbol in any period of time in Forex market that contain this Features. How we do it We do it by pulling data from MQL4 in to our CSV file , the data is pulled using MQL4 build in functions that create our Features. Setup 1. Download the code in Dataset (here) 1. Git in the code and write the number of bars you need. 1. Run the script (Dataset) in any symbol and any period of time. Features "OPEN","CLOSE","HIGH","LOW","VOLUME","MA","STO","FIBO","AC","BUL","ICCI","MACD","RSI","BEAR","AD","ATR","AO","MOM","OSMA","MARKET" open=OPEN(i); close=CLOSE(i); high=HIGH(i); low=LOW(i); volume=VOLUME(i); ma=movingaverge(i); sto=Stochastic(i); fibo=fibonacci(i); ac=AC(i); bul=BUL(i
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