institutional-orderflow-mt5

Unverified ML strategy on Forex by ajayprabhuraj. BotFinder score 18 out of 100.

2026 SMC Trading Toolkit: Real-Time Order Blocks & Fair Value Gaps for MT5

Source: github

Explorer/Forex/institutional-orderflow-mt5
18
Data index
ForexMLMedium risk⚠ UnverifiedNEW

institutional-orderflow-mt5

ajayprabhurajGitHub
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Net return
—
Max drawdown
—
Sharpe
—
Profit factor
—
Win rate
—
Track record
0.3y
BotFinder Analysis

BotFinder analysis pending.

About

institutional-orderflow-mt5

🧠 Liquidity-Pattern-Engine-MT5 Overview – From Chaos to Order Flow Clarity Most traders stare at price action and feel the structure but cannot see it. The Liquidity-Pattern-Engine (LPE) for MT5 bridges that gap — not by painting pretty rainbow lines on your chart, but by exposing the mechanical fingerprint of institutional order flow. Where traditional Smart Money Concepts indicators identify what happened (Order Blocks, Breaks of Structure), LPE reveals why it happened — and what the market is likely to do next to fill its own liquidity imbalances. Built for the serious trader who has moved beyond retail logic, LPE is a native MQL5 algorithm that decodes the hidden conversation between price, volume, and dealer positioning. It doesn’t just tag a Fair Value Gap — it calculates the probability-weighted zone where price will return to hunt resting orders. It doesn’t just draw a trendline — it projects the angle of liquidity absorption based on real-time volume-weighted delta. This is not an indicator. It’s a behavioral mapping engine for the FX, indices, and commodities markets. 🔍 Cor

HTMLOpen-sourceexpert-advisorsforexindicatorsinstitutional-order-flowliquidityliquidity-mappingmarket-imbalance-toolmetatrader5
Track record

⚠ No verified equity curve — no track-record source connected.

Risk

Drawdown profile

Data unavailable — contact the owner.

Evidence

Verification ledger

Live-audited
Broker-verified
Capital-backed
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Historical evolution

How the score has moved

Recalculated at each data collection. Transparency means showing the bad weeks too.

No score history is stored yet — only the current score is shown.

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Alerts on changes: coming soon

Prop-firm compatibility

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Source
ajayprabhuraj
Since 2020 · 1 bots

Open-source maintainer on GitHub.

Trust 0Profile
Score & reliability18/100
Perf data0/35
Community0/25
Evidence8/20
Recency10/10
Verification0/10

Data-completeness & trust index (not a profitability rating)

Source facts
Stars124
Forks1
Open issues2
LanguageHTML
License—
Last update2026-10-02
Created2026-06-28
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