AetherOne

AetherOne v6.7 — Institutional AI Multi-Asset Expert Advisor

A fully automated Expert Advisor for MetaTrader 5. AetherOne combines multi-asset scanning, AI pattern scoring, multi-timeframe committee voting, an automatic Data Lake, institutional risk governance and a complete trade management stack — all from a single chart.

⚡ Quick Start: Attach to a BTCUSD chart. The EA handles everything automatically. On first run the Data Lake population phase may take a few hours depending on broker history volume — monitor progress in the Expert tab.

Core Features

  • Multi-asset universe scanning — Forex, metals, indices, commodities, crypto, stocks and ETFs
  • Automatic Data Lake — builds and refreshes a structured research database on a configurable schedule, no restart needed
  • AI pattern scoring — historical edge analysis, win-rate estimation and adaptive learning bias from closed trades
  • Committee voting — multi-timeframe confirmation gate before any trade is approved
  • Institutional risk governance — drawdown locks, loss-streak cooldowns, portfolio heat caps, cluster and symbol exposure limits
  • Prop firm compliance mode — hard daily loss and total drawdown caps aligned to challenge rules
  • Index protection layer — stricter score thresholds, ATR-aware stops and higher-timeframe trend filtering for indices
  • Shadow validation — simulated trades must clear a win-rate threshold before live capital is risked
  • Full trade management — break-even, partial close, trailing stop and slippage control
  • Spread, session and tick-age filters — cost-to-target rejection and session gating per symbol
  • Dashboard and reporting — decision ledger, investor reports and execution logs
  • No martingale. No grid. No averaging into losses.

5-Layer Decision Architecture

1. Setup Intelligence — trend (MA cross), momentum, volatility (ATR) and RSI per symbol and timeframe.

2. Pattern Intelligence — win-rate by symbol and direction from the Data Lake, confidence score, sample check and adaptive learning bias.

3. Committee Voting — multiple timeframes vote on direction; a minimum vote count must be reached before advancing.

4. Risk Governance — drawdown state, daily loss, portfolio heat, asset-class exposure, loss-streak status and prop-firm rules all checked before routing.

5. Execution Router — CTrade-based order placement with volume normalisation, filling-mode fallback (FOK → IOC → RETURN) and full execution logging.

Configuration Profiles

Code Profile Purpose
MV Market Validation MQL5 Market tester compliance — pre-configured, do not alter
PF Prop Firm Conservative live trading with strict prop-firm drawdown rules
DM Demo / Forward Test Forward testing on a demo account before live deployment
DP Data Lake Population First-run full history and feature build — trading disabled
DX Data Lake Maintenance Scheduled dataset refresh while trading continues
LP Live Personal Personal live account with balanced risk and full features

Key Variable Reference

01 — Operating Mode

Variable MV PF DM DP DX LP
A1_EnableLiveTrading false true false false false true
A1_DryRunMode true false true true true false
A1_EnableMarketplaceTesterMode true false false false false false

02 — Data Lake & Learning

Variable MV PF DM DP DX LP
A1_AutoBuildDataLakeOnEA true true true true true true
A1_AutoBuildOnlyWhenPatternMissing false true true false true true
A1_RequirePatternDatasetForLive false true false false true true
A1_LearningMinSamples 0 5 0 0 5 10

03 — Signal Quality

Variable MV PF DM DP DX LP
A1_MinFinalScore 0.0 70.0 62.0 68.0 70.0 72.0
A1_MinPatternConfidence 0.0 55.0 0.0 0.0 55.0 60.0
A1_MinPatternSamples 0 30 0 0 30 50

04 — Risk & Position Limits

Variable MV PF DM DP DX LP
A1_RiskPerTradePercent 0.25 0.25 0.50 0.25 0.25 0.50
A1_MaxTotalOpenTrades 1 3 5 1 3 3
A1_MaxTradesPerSymbol 1 1 1 1 1 1
A1_MaxTradesPerCluster 1 1 2 1 1 1
A1_MaxPortfolioHeatPercent 2.0 2.0 4.0 2.0 2.0 3.0

05 — Drawdown Protection

Variable MV PF DM DP DX LP
A1_MaxDailyLossPercent 1.5 1.5 3.0 1.5 1.5 2.0
A1_MaxTotalDrawdownPercent 4.0 4.0 8.0 4.0 4.0 6.0
A1_MaxLossStreak 2 2 3 2 2 3
A1_LossStreakCooldownMinutes 90 90 60 90 90 60

06 — Prop Firm Protection

Variable MV PF DM DP DX LP
A1_PropFirmMode false true false true true false
A1_PropMaxDailyLossPct 1.5 1.5 3.0 1.5 1.5 2.0
A1_PropMaxDrawdownPct 4.0 4.0 8.0 4.0 4.0 6.0

07 — Trade Management

Variable MV PF DM DP DX LP
A1_StopLossPoints 300 300 300 300 300 300
A1_TakeProfitPoints 600 600 600 600 600 600
A1_BreakevenTriggerPct 40 40 35 40 40 45
A1_PartialCloseTriggerPct 60 60 50 60 60 65
A1_TrailingStopPoints 150 150 200 150 150 200
A1_MaxSlippagePoints 30 30 50 30 30 40

08 — Shadow Validation

Variable MV PF DM DP DX LP
A1_EnableShadowWinRateGate false true false false true true
A1_ShadowMinRecentWinRate 50 50 45 50 50 55
A1_ShadowRecentWindow 10 10 10 10 10 20

09 — Cost, Spread & Session Filters

Variable MV PF DM DP DX LP
A1_EnableCostToTargetReject true true false true true true
A1_MaxCostToTargetPct 20 20 30 20 20 20
A1_FilterBySession true true false true true true
A1_MaxTickAgeSeconds 300 300 300 300 300 180

10 — Reporting & Dashboard

Variable MV PF DM DP DX LP
A1_ShowDashboard true true true true true true
A1_EnableDecisionLedger true true true true true true
A1_EnableInvestorReports true true true true true true
A1_LogLevel 1 1 2 1 1 1

11 — Loss Control & Index Protection

Variable MV PF DM DP DX LP
A1_SymbolLossCooldownMinutes 60 60 45 60 60 60
A1_ClusterLossCooldownMinutes 90 90 60 90 90 90
A1_MaxClusterLossesBeforeCooldown 2 2 3 2 2 2
A1_IndexMinFinalScore 74 74 70 74 74 74
A1_IndexMinDirectionalEdge 4.0 4.0 3.0 4.0 4.0 4.0
A1_IndexATRStopMultiplier 1.20 1.20 1.50 1.20 1.20 1.50
A1_IndexMinStopPoints (fixed) 800 800 800 800 800 800

12 — Observable Universe Data Lake Build

Variable MV PF DM DP DX LP
A1_BuildObservableUniverseOnLaunch false false false true false false
A1_ObservableBuildMarketWatchOnly false false true false false false
A1_ObservableBuildMaxSymbols 2000 2000 100 2000 2000 2000
A1_ObservableBuildBarsPerSymbolTF 500 500 300 500 500 500
A1_ObservableBuildContinueOnTimer false false false true false false

14 — Auto History Refresh

Variable MV PF DM DP DX LP
A1_EnableAutoHistoryRefresh true true true false true true
A1_HistoryRefreshIntervalMinutes 240 240 60 240 240 240
A1_HistoryRefreshBatchSymbols 20 20 50 20 20 20
A1_HistoryRefreshBarsPerSymbolTF 300 300 500 300 300 300
A1_HistoryRefreshOnlyWhenTradingQuiet true true false true true true
A1_HistoryRefreshMaxSecondsPerTimer 8 8 15 8 8 8

Sections 13, 15, 18–21 — Market Validation Variables: Pre-configured for MQL5 Market tester compliance. Controls isolated validation, passive idle, micro-balance safety and minimum-volume enforcement. Do not modify. These have no effect during normal demo or live operation.

Recommended Workflow

1. Run Data Lake Population (DP profile) on a BTCUSD chart with trading disabled. Allow the EA to build history, features and win-rate datasets.

2. Verify the Expert tab confirms dataset files are being written and the universe scan completes without errors.

3. Switch to Demo / Forward Test (DM profile) and run for a minimum of two to four weeks on a demo account.

4. Deploy with PF (prop firm), LP (live personal) or DX (maintenance) based on your account type.

Important

AetherOne is not a martingale or grid system. It does not average into losing trades or compound losing positions. Every decision passes through a deterministic, auditable 5-layer process.

Risk Warning: Trading leveraged financial instruments involves substantial risk of loss. Past performance does not guarantee future results. Always test on a demo account first and use risk settings appropriate for your capital and broker conditions.

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