Prop Firm EA Fleet is a collection of MetaTrader 5 robots designed for passing prop firm evaluations and managing funded accounts. The suite utilizes various strategies including market structure analysis, session range breakouts for London and New York sessions, and high-frequency scalping. It features strict risk man
Trading robot · MT5
BTCUSD Scalping Intelligence Engine
This MetaTrader 5 expert advisor is a multi-layered trading system specifically designed for BTCUSD.
GitHub stars1
Forks1
Last update3 months ago30 May 2026
LicenceNone stated
Overview
BTCUSD Scalping Intelligence Engine utilizes a hierarchical decision logic that analyzes macro bias on the H4 timeframe, maps support and resistance on the H1 timeframe, and confirms structure changes on M15 before executing trades on the M5 timeframe. The engine incorporates liquidity sweep detection, tick pressure analysis, and momentum filters. Risk controls include daily loss limits, maximum consecutive losses, and ATR-based stop losses. Trade management features include multi-stage take profits, partial closures, and trailing stops.
- Multi-timeframe structure analysis using H4 to M5 data
- Tick pressure and momentum filtering for execution quality
- Liquidity sweep and breakout retest detection
- Automated session-based preset management
- Advanced risk controls including daily loss limits
Details
Author
said00001 on GitHub
Type
Trading robot
Platform
MetaTrader 5 (MQL5)
Strategy
SMC / ICT / price action, Breakout, Trend following, Scalping
Markets
Crypto
Timeframes
M1-M5, 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.
Input parameters
Read from BTC_Scalping_AI_EA.mq5. Defaults are the author's; change them in the EA's Inputs tab.
| Name | Type | Default | Description |
|---|---|---|---|
InpSymbol | string | BTCUSD | |
StrictSymbolMode | bool | false | |
InpLotSizingMode | LotSizingMode | LOT_MODE_RISK_PERCENT | |
ManualLotSize | double | 0.01 | |
RiskPercentNormal | double | 0.5 | |
RiskPercentStrong | double | 1.0 | |
MaxDailyLossPercent | double | 3.0 | |
MaxTradesPerDay | int | 5 | |
MaxConsecutiveLoss | int | 2 | |
EMAFast | int | 50 | |
EMASlow | int | 200 | |
RSIPeriod | int | 8 |
Show all 40 inputs
| Name | Type | Default | Description |
|---|---|---|---|
ATRPeriod | int | 14 | |
SwingLeft | int | 3 | |
SwingRight | int | 3 | |
WickMultiplier | double | 1.3 | |
VolumeSpikeMultiplier | double | 1.5 | |
MinBuyScore | double | 70.0 | |
StrongBuyScore | double | 85.0 | |
MinSellScore | double | 70.0 | |
StrongSellScore | double | 85.0 | |
TickWindowSeconds | int | 20 | |
MinTickPressure | double | 0.60 | |
MaxStoredTicks | int | 600 | |
SpreadSpikeMultiplier | double | 1.50 | |
LateEntryATRMultiplier | double | 0.60 | |
MaxSpreadPoints | int | 300 | |
MaxSlippagePoints | int | 100 | |
MinRiskReward | double | 1.20 | |
UseSessionFilter | bool | true | |
UseNewsGuard | bool | true | |
UsePartialClose | bool | true | |
UseTrailingStop | bool | true | |
RR_TP1 | double | 1.5 | |
RR_TP2 | double | 2.0 | |
ATR_SL_Multiplier | double | 1.5 | |
InpSessionPresetMode | SessionPresetMode | FULL_AUTO_ADAPTIVE | |
AllowSweepReversal | bool | true | |
AllowBreakoutRetest | bool | true | |
AllowTrendPullback | bool | true |
How to install it
- 1Download the sourceUse "Download source (.zip)" above, or clone said00001/BTCUSD-Scalping-Intelligence-Engine 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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