Range Brain Ai V5 Strategy Optimization Guide

CCI Momentum Classifier (Continuation + Failed-Breakout Fade)

This guide gives you some recommended settings for Start / Step / End values to type into the MetaTrader 5 Strategy Tester optimizer for every tunable input, plus the order to optimize them in and how to tell a real edge from a curve-fit.

IMPORTANT: Please adjust your trading symbols sl and tp by their point size. The system is optimized for US30 by default. DO NOT BACKTEST WITH THE PANEL ON - It will slow the backtest down substantially. 

HOW THE SYSTEM WORKS (so the settings make sense)

Range Brain AI trades range breakouts BOTH ways, decided by a CCI momentum classifier at the moment each breakout happens:

• Builds a price range during a session window you choose.
• When price closes beyond the range, the EA checks CCI's direction right then: still moving further the same way as the break means momentum is genuinely building, so it trades the breakout as a CONTINUATION, immediately, at market.
• CCI already turning back means the breakout looks like it's failing, so the EA arms a FADE in the opposite direction instead, and waits for CCI to reach an extreme and cross back, confirmed by a deterministic neural net (perceptron), before entering at market.
• Each side re-arms independently. A fade stays armed and can fire again on the next fresh CCI extreme-and-cross-back, with no requirement that price return inside the range first. A continuation trade locks out further attempts until price closes back at/past the boundary it broke - only then does the next breakout get classified fresh.
• UseMomentumClassifier = false runs the EA in pure fade-only mode (every breakout arms a fade, exactly like earlier versions), useful as a baseline to compare the classifier against.

Two things to remember:

1. This is a range-breakout tool that needs a REAL consolidation range to classify from. Pick instruments/sessions that actually range during your chosen window - a session window too short to form a meaningful range (e.g. one bar) starves the classifier of a real momentum read and skews results toward one side.
2. The neural net is DETERMINISTIC (no random numbers): same data + settings = same result every time, so the backtest reproduces live.

IMPORTANT: WHAT "POINTS" MEANS

All *Points inputs (StopLossPoints, TakeProfitPoints, etc.) are in POINTS, not pips.

• 5-digit FX (e.g. EURUSD 1.23456): 10 points = 1 pip. So StopLossPoints 150 = 15 pips.
• Indices / metals / crypto: 1 point = the last price digit; typical moves are much larger, so scale the ranges below up accordingly.

Set the point ranges to your instrument's normal bar size, not blindly.

STRATEGY TESTER SETUP

• Data: real tick data with real spreads (Dukascopy / Quant Data Manager). Garbage data = garbage results.
• Modelling: "Every tick based on real ticks".
• Period: 2+ years. Hold back the most recent ~25-30% for out-of-sample validation (or use MT5 Forward = 1/4).
• Criterion: "Balance + max Profit Factor" or a Custom/Recovery criterion.
• Optimization: "Fast (genetic)" once the grid gets large.

NOTE: in the tables below, a BOOL is optimized as Start 0, Step 1, End 1 (tests both false and true). Tick its checkbox in the optimizer.

THE OPTIMIZATION TABLES (Start / Step / End)

GROUP A: CORE EDGE (optimize these first)

(MaxPositions default is 1. Both re-arm paths respect it as a hard cap regardless of how many times they'd otherwise fire - raise it only if you deliberately want more than one open position at a time.)

GROUP B: MOMENTUM CLASSIFIER

(Compare UseMomentumClassifier=true against a locked Group A run with it forced false - that false run is your fade-only baseline from earlier versions. Keep the classifier only if it clearly improves the result over that baseline.)

GROUP C: PERCEPTRON (leave default unless clearly better)

(This net is a confirmer for the fade side only - it does not affect continuation entries. Over-tuning it is a classic curve-fit. Optimize only with a tiny grid, and prefer the defaults 0.1 / 0.3 / 1.5 / -0.3 when results are close.)

GROUP D: TRADE MANAGEMENT (optional add-ons, off by default)

(CloseMinute: leave 0.)

SET, DON'T OPTIMIZE (choose to taste; they scale results, not edge)

• MoneyManagement: pick ONE (MM_FIXED_RISK recommended). Not optimized.
• RiskPercent: your risk per trade (e.g. 0.5 - 1.0). Scales P&L, not the edge - set it, don't optimize it.
• FixedLots: only used if MoneyManagement = MM_FIXED_LOT.
• DecreaseFactor: leave default.
• MaxSpreadPoints: reject entry if spread exceeds this (points; 0 = disabled). Set per symbol/broker, don't sweep.

DO NOT TOUCH (visual / identity)

MagicNumber, DashboardX/Y, ShowDashboard, all color inputs, all Show*/Enable* visual toggles, PulseSpeed, ArrowSize, the Tokyo/London/NY text examples.

PHASES (the ORDER to optimize - don't do all groups at once)

Optimizing every group together explodes the search space and curve-fits. Lock each phase's winner before the next.

PHASE 1 - CORE EDGE (Group A only) Optimize the range window + CCI + SL/TP together with UseMomentumClassifier forced false (fade-only baseline). Keep Groups C/D at defaults (all bools off). This finds where the real edge lives. Lock the winning Group A values.

PHASE 2 - MOMENTUM CLASSIFIER (Group B) With Group A locked, flip UseMomentumClassifier to true and compare against your Phase 1 (fade-only) result. Keep it only if it genuinely improves the result - it's meant to add continuation trades on top of the fade edge, not replace it.

PHASE 3 - TRADE MANAGEMENT (Group D, optional) With A+B locked, test one management feature at a time (BE, then partial, then trailing). Add a feature only if it clearly helps. Most clean systems do fine with none of these - don't force it.

PHASE 4 - PERCEPTRON (Group C, optional, light) Only if you want the last few percent on the fade side. Tiny grid, prefer defaults.

After each phase: pick from a STABLE CLUSTER (see below), then re-run a single backtest with the locked values to confirm.

READING RESULTS - CHOOSING A WINNER

Don't sort by Net Profit alone. Look at:

• Profit Factor > 1.2 (>1.5 strong)
• Recovery Factor (net profit / max DD) - rewards smooth equity
• Max Drawdown % - can you stomach it live?
• Trade count - 100+ over the test is ideal; <30 is noise
• Win rate WITH avg win/loss - 40% win + big winners can be great

THE CLUSTER TEST (most important): In the optimization results, the best settings should be SURROUNDED by other good settings. If your #1 row's neighbors are losers, it's a curve-fit - discard it and pick from a broad plateau of good results. A slightly-lower but robust setting beats a fragile peak.

OUT-OF-SAMPLE VALIDATION (the step that saves money)

1. Optimize on the older data (e.g. 2022-2023).
2. Take the chosen winner UNCHANGED and run it as a single backtest on the held-out recent data (e.g. 2024-now).
3. If it stays profitable with similar character, it's a real edge. If it collapses, it was curve-fit - go back and pick a broader, coarser setting. MT5 Forward mode (1/4) automates this.

PER-SYMBOL / PER-TIMEFRAME + GOING LIVE

• Repeat Phases 1-2 separately for EACH symbol and timeframe. There is no universal setting - that's correct for a range-breakout tool.
• Favor instruments/sessions that form a real consolidation range; lower TF = more trades + more noise, and a range that's too short (too few bars) starves the classifier of a meaningful CCI read.
• Confirm your broker's server time matches your range window.
• Because the EA is deterministic, the validated backtest is an honest preview of live. Demo-confirm, then scale up.
• No martingale / grid / averaging. Hedges positions at your discretion. Risk is fixed by your SL and money-management settings. Keep it that way.

QUICK-START CHECKLIST

•  Real tick data; broker server time known; points units checked
•  Reproducibility check: same run twice = identical
•  PHASE 1: optimize Group A (range, CCI, SL/TP) fade-only; lock winner
•  PHASE 2: enable Group B (momentum classifier); keep only if it helps
•  PHASE 3: optional Group D management, one at a time
•  PHASE 4: optional Group C perceptron, light touch
•  Picked from a STABLE CLUSTER, not a spike
•  Healthy trade count, acceptable drawdown
•  Validated OUT OF SAMPLE - it held up
•  Repeated per symbol / timeframe
•  Demo-confirmed, server time checked, then live