The collection includes statistical arbitrage robots that trade spreads between two correlated symbols, machine learning experts utilizing Support Vector Machines (SVM), and high-frequency trading (HFT) tools. The strategies range from market-making and regression-based entries to tick-level analysis. While the repository provides diverse logic for entering and exiting trades based on price correlations and statistical models, the README is primarily focused on installation instructions rather than specific risk management parameters.
Read from Strategy3_SpreadSignOnTick_EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
Name
Type
Default
Description
LR_length
int
100
Number of bars for a regression on spread
Spread_length
int
500
Number of bars for spread calculation
period
ENUM_TIMEFRAMES
PERIOD_M5
Time-frame
symbol1
string
Si-12.16
The first symbol of the pair
symbol2
string
RTS-12.16
The second symbol of the pair
profit_percent
double
10
Percent of profit to lock in
strategy
SPREAD_STRATEGY
SELL_AND_BUY_ON_UP
Type of a spread strategy
ticks_for_trade
int
10
Required number of ticks to enter
How to install it
1Download the sourceUse "Download source (.zip)" above, or clone marcoc68/oslib from GitHub, and unzip it.
2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL5/Experts.
3Copy the filesCopy the .mq5 file into Experts, and any .mqh files into the Include folder the code expects.
4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.
5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.
Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.
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