What is AI backtesting for prop trading?

AI backtesting lets you describe a trading strategy in plain language and automatically test it against years of historical market data. Canddle evaluates win rate, max drawdown, profit factor and prop firm challenge rule compliance — no coding required.

Does Canddle work with prop firm challenges?

Yes. Canddle evaluates strategies against common prop firm challenge rules — including drawdown limits, profit targets and daily loss thresholds — so you can estimate whether a strategy would pass before risking real capital. Canddle is not affiliated with any prop trading firm.

Do I need to know how to code to use Canddle?

No. You describe your trading strategy in plain language — "buy when price breaks above a resistance level with high volume" — and Axis AI translates it into a backtest automatically.

What trading strategies can Canddle backtest?

Canddle supports SMC (Smart Money Concepts), ICT (Inner Circle Trader), price action, Wyckoff, harmonic patterns, EMA crossover, RSI divergence, MACD, support/resistance and hybrid systems.

What is the Canddle MT5 AI agent?

The MT5 agent connects your MetaTrader 5 account to Canddle, allowing automated execution of backtested strategies on a live or demo account.

Does Canddle use real market data?

Yes. Canddle uses real historical OHLCV data from major forex pairs, indices and commodities — up to 10 years depending on your plan.

Der größte unabhängige Backtest von Trading-Strategien

532.000+ Trades analysiert · 10 Jahre reale Daten · Walk-Forward-validiert · Reale Gebühren & Prop-Firm-Regeln

Studienmethodik

10 años de datos históricos

Claude Opus 4.6

Quantitativer Python-Motor · AST-validierte Signale · Walk-Forward-Resampling

10 Jahre echte Daten

OHLCV von Forex, Indizes & Rohstoffen

Echte Handelskosten

1 Bps Slippage · 0,05% Kommission · Gap-through-SL

@InnerCircleTraderFair Value Gaps — Imbalance & Rebalancing2.4M views

ICT Fair Value Gap (FVG) Reentry

Win Rate

36.6%

Max DD

-95.1%

Profit Factor

0.49

1,169 Trades15m

@InnerCircleTraderICT Silver Bullet — Full Lecture2.1M views

ICT Silver Bullet

Win Rate

34.0%

Max DD

-17.7%

Profit Factor

1.09

144 Trades15m

@InnerCircleTraderThe Unicorn Model — ICT Mentorship 20221.8M views

ICT Unicorn Model

Win Rate

46.4%

Max DD

-35.0%

Profit Factor

0.93

494 Trades15m

Virale Strategien · unabhängig validiert

Quelle: Reddit & YouTube. Backtested mit 10 Jahren realer Daten und realen Gebühren.

@InnerCircleTraderICT Silver Bullet — Full Lecture2.1M views

ICT Silver Bullet

Win Rate

34.0%

Max DD

-17.7%

Profit Factor

1.09

144 Trades15m

@InnerCircleTraderPower of Three — Accumulation Manipulation Distribution2.8M views

ICT Power of Three (AMD)

Win Rate

35.3%

Max DD

-34.3%

Profit Factor

0.96

694 Trades15m

@InnerCircleTraderOptimal Trade Entry — ICT Mentorship1.5M views

ICT Optimal Trade Entry (OTE)

Win Rate

28.1%

Max DD

-63.1%

Profit Factor

0.87

474 Trades15m

@InnerCircleTraderKill Zones — London Open Session1.1M views

ICT Killzone — London Open Model

Win Rate

47.4%

Max DD

-41.2%

Profit Factor

0.90

612 Trades15m

@InnerCircleTraderNew York Open Model980K views

ICT NY Open Model

Win Rate

42.9%

Max DD

-54.0%

Profit Factor

0.68

324 Trades15m

@InnerCircleTraderOrder Blocks & Market Structure Shift3.1M views

ICT Order Block + MSS

Win Rate

54.5%

Max DD

-21.1%

Profit Factor

1.29

550 Trades15m

Alle 96 strategies anzeigenmit Filtern

Backteste Strategien, erstelle Indikatoren mit KI und vieles mehr. Kostenlos und jetzt.

Studienmethodik

Echte Spreads + Gebühren enthaltenJeder Backtest enthält Broker-Spread, Slippage und Provisionen. Keine Fantasieergebnisse.

Python-Engine · AST-validiert · kein LookaheadBar-für-Bar-Berechnung mit benutzerdefinierten Python-Bibliotheken. Zukunftsdaten werden nie in Signalentscheidungen verwendet — nie.

Über 1.700 Trades · statistische Aussagekraft erreichtStatistisch valide Stichprobe über 10 Jahre. NFP-, CPI- und FOMC-Tage automatisch ausgeschlossen, um Nachrichtenverzerrungen zu eliminieren.

Walk-Forward-ValidierungOut-of-Sample-Tests mit Daten, die die Strategie nie gesehen hat. Der Quant-Standard für Glaubwürdigkeit.

Strategien nach Methodik

96 Strategien in 6 Kategorien.

ICT22 Strategien

Erkunden

SMC15 Strategien

Erkunden

Price Action15 Strategien

Erkunden

Indicadores9 Strategien

Erkunden

Wyckoff6 Strategien

Erkunden

Harmónico6 Strategien

Erkunden

Alle 96 Kategorien anzeigenmit Filtern

KI-Indikator-Builder

Erstelle deinen eigenen Indikator mit KI — kein Code nötig. Beschreibe, was du erkennen möchtest, und erhalte eine testbare Strategie.

Exportieren nach

MT5

TradingView

Win rate64%

Trades847

Max DD-8.2%

Beliebige Strategie backtesten

Beschreibe eine Handelsstrategie in einfachen Worten. Die KI wandelt sie in Code um und backtestet sie mit echten Gebühren.

FTMO$100,000 Challenge

Daily loss4.2% / 5%

Max drawdown3.8% / 10%

Profit target7.1% / 10%

Hätte die Challenge bestanden

Challenge-Simulator

Würde deine Strategie FTMO bestehen? Simuliere echte Prop-Firm-Regeln, bevor du $540 bezahlst. Kenne deine Chancen zuerst.

Alle Strategien

@TradingRushI Tested RSI Divergence 100 Times — Here Is What Happened3.2M views

RSI Divergence Strategy

Win Rate

53.1%

Max DD

-16.3%

Profit Factor

0.85

318 Trades1H

r/ForexEqual highs/lows are liquidity traps — here is why780 upvotes

SMC Equal Highs/Lows Trap

Win Rate

50.0%

Max DD

-5.9%

Profit Factor

1.44

52 Trades15m

r/CryptoCurrencyFunding rate + liquidation heatmap strategy that actually works890 upvotes

SMC Crypto Funding Rate + Liquidity

Win Rate

57.1%

Max DD

-5.4%

Profit Factor

1.70

198 Trades15m

@InnerCircleTraderPower of Three — Accumulation Manipulation Distribution2.8M views

ICT Power of Three (AMD)

Win Rate

35.3%

Max DD

-34.3%

Profit Factor

0.96

694 Trades15m

@mentfxBOS + Order Block Entry — Simplified SMC890K views

SMC BOS + Order Block Entry

Win Rate

43.6%

Max DD

-15.7%

Profit Factor

1.33

491 Trades15m

@TradingHubConsolidation Break + OB Retest Setup320K views

SMC Consolidation Break + OB Retest

Win Rate

47.3%

Max DD

-35.1%

Profit Factor

0.80

357 Trades15m

@TradingwithRaynerEMA Trading Strategy — How To Use Exponential Moving Averages1.1M views

EMA 8/21 Ribbon Strategy

Win Rate

48.6%

Max DD

-24.6%

Profit Factor

1.03

589 Trades1H

@InnerCircleTraderICT 2022 Model — Complete Trading Framework3.4M views

ICT 2022 Model (Simplified)

Win Rate

42.5%

Max DD

-92.9%

Profit Factor

0.69

560 Trades15m

@SmartRiskSupply & Demand with BOS Confirmation — Full Course1.4M views

SMC Supply & Demand con BOS Confirmation

Win Rate

44.3%

Max DD

-13.7%

Profit Factor

1.44

357 Trades15m

@InnerCircleTraderConsequent Encroachment Entry650K views

ICT Consequent Encroachment (CE) Entry

Win Rate

44.5%

Max DD

-53.1%

Profit Factor

0.53

220 Trades15m

@InnerCircleTraderImbalance & Rebalancing — Fair Value Gaps1.6M views

SMC Imbalance Rebalance

Win Rate

49.1%

Max DD

-17.6%

Profit Factor

0.99

265 Trades15m

@InnerCircleTraderLiquidity Sweeps & Reversal Setups1.9M views

ICT Liquidity Sweep + Reversal

Win Rate

48.1%

Max DD

-4.8%

Profit Factor

1.11

420 Trades15m

Warum die meisten Backtests scheitern · was Trader entdeckten

Echte Zitate aus Trading-Communities. Unsere Daten bestätigen das Muster.

“When I back-test them they seem to work perfectly, but when I forward test them on a demo my results are the complete opposite.”

r/Forex·91 pts

“Without slippage and fees, I have 30+ winning strategies. With slippage and fees, 2.”

r/algotrading·822 pts

“I've tried every strategy and backtested thousands of times, but once I go live my account dwindles.”

r/Forex·91 pts