Falcon A: Free MT4 Expert Advisor

Overview

Falcon A follows a model-based approach where the user must first generate historical data files through a training simulation in the Strategy Tester. The system calculates entry probabilities using Euclidean metrics and reinforcement learning policies. Risk controls include volatility-based stop loss and take profit levels, fixed percentage lot sizing, and a mandatory Friday close. The README notes this repository is for a deprecated version from a tutorial series.

k-Nearest Neighbors classification algorithm

Volatility-based dynamic stop loss and take profit

Reinforcement learning market type policy

Automated risk-based position sizing

Automatic Friday market closure logic

Details

Author

vzhomeexperiments on GitHub

Type

Trading robot

Platform

MetaTrader 4 (MQL4)

Strategy

AI / machine learning

Markets

Forex

Timeframes

M15-H1

Risk profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

EA files

Topics

mt4-eatrading-robotknn-classifierdecision-support-systemudemy-tutorialudemycoursereinforcement-learningself-learningmodel-basedartificial-intelligence

Source

github.com/vzhomeexperiments/FALCON_A

Input parameters

Read from Falcon_A.mq4. Defaults are the author's; change them in the EA's Inputs tab.

Name	Type	Default	Description
`Header1`	`string`	`----------EA General Settings-----------`
`StrategyNumber`	`string`	`32`
`TerminalType`	`int`	`1`	0 mean slave, 1 mean master
`R_Management`	`bool`	`true`	R_Management to set true for trading, false for testing
`Slippage`	`int`	`3`	Slippage In Pips
`IsECNbroker`	`bool`	`false`	Is your broker an ECN
`OnJournaling`	`bool`	`false`	Add EA updates in the Journal Tab
`EnableDashboard`	`bool`	`false`	Turn on Dashboard
`Header2`	`string`	`----------Trading Rules Variables-----------`
`Base`	`bool`	`false`
`buy_threshold`	`double`	`0.7`
`sell_threshold`	`double`	`0.7`

Show all 40 inputs

Name	Type	Default	Description
`inverse_position_open`	`bool`	`false`
`invers_buy_threshold`	`double`	`0.3`
`invers_sell_threshold`	`double`	`0.3`
`fast`	`int`	`12`
`slow`	`int`	`34`
`close_orders`	`bool`	`false`
`use_market_type`	`bool`	`false`
`closeAllOnFridays`	`bool`	`True`	close all orders on Friday 1hr before market closure
`Header3`	`string`	`----------Position Sizing Settings-----------`
`Lot_explanation`	`string`	`If IsSizingOn = true, Lots variable will be ignored`
`Lots`	`double`	`0.01`
`IsSizingOn`	`bool`	`False`
`Risk`	`double`	`1`	Risk per trade (in percentage)
`MaxPositionsAllowed`	`int`	`1`
`Header4`	`string`	`----------TP & SL Settings-----------`
`UseFixedStopLoss`	`bool`	`True`	If this is false and IsSizingOn = True, sizing algo will not be able to calculate correct lot size.
`FixedStopLoss`	`double`	`0`	Hard Stop in Pips. Will be overridden if vol-based SL is true
`IsVolatilityStopOn`	`bool`	`True`
`VolBasedSLMultiplier`	`double`	`6`	Stop Loss Amount in units of Volatility
`UseFixedTakeProfit`	`bool`	`True`
`FixedTakeProfit`	`double`	`0`	Hard Take Profit in Pips. Will be overridden if vol-based TP is true
`IsVolatilityTakeProfitOn`	`bool`	`True`
`VolBasedTPMultiplier`	`double`	`6`	Take Profit Amount in units of Volatility
`Header5`	`string`	`----------Hidden TP & SL Settings-----------`
`UseHiddenStopLoss`	`bool`	`False`
`FixedStopLoss_Hidden`	`double`	`0`	In Pips. Will be overridden if hidden vol-based SL is true
`IsVolatilityStopLossOn_Hidden`	`bool`	`False`
`VolBasedSLMultiplier_Hidden`	`double`	`0`	Stop Loss Amount in units of Volatility

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone vzhomeexperiments/FALCON_A from GitHub, and unzip it.

2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.

3Copy the filesCopy the .mq4 file into Experts.

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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Overview

Details

Author

Type

Platform

Strategy

Markets

Timeframes

Risk profile

EA files

Topics

Source

Input parameters

How to install it

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