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.

El mayor backtest independiente de estrategias de trading

532,000+ trades analizados · 10 años de datos reales · Validación walk-forward · Fees reales y reglas de prop firms

Metodología del estudio

10 años de datos históricos

Claude Opus 4.6

Motor cuantitativo Python · señales AST-validadas · remuestreo walk-forward

Dukascopy

Datos OHLCV tick-level · forex, índices, materias primas

Validación walk-forward

20 ventanas out-of-sample · sin lookahead · ejecución next-bar

@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

Estrategias virales · validación independiente

Origen: Reddit y YouTube. Backtestadas con 10 años de datos reales y fees incluidos.

@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

Ver todos los 96 strategiescon filtros

Backtestea y crea indicadores con IA y mucho más. Úsalo gratis y ahora.

Metodología del estudio

Spreads reales + fees incluidosCada backtest incluye spread del broker, slippage y comisiones. Sin resultados fantasiosos.

Motor Python · AST-validado · zero lookaheadCálculo barra a barra con librerías Python personalizadas. Nunca se usan datos futuros en las decisiones de señal — jamás.

Más de 1.700 trades · potencia estadística alcanzadaMuestra estadísticamente válida en 10 años. Días de NFP, CPI y FOMC excluidos automáticamente para eliminar la distorsión de noticias.

Validación walk-forwardPruebas fuera de muestra con datos que la estrategia nunca vio. El estándar quant de credibilidad.

Estrategias por metodología

96 estrategias en 6 categorías.

ICT22 estrategias

Explorar

SMC15 estrategias

Explorar

Price Action15 estrategias

Explorar

Indicadores9 estrategias

Explorar

Wyckoff6 estrategias

Explorar

Harmónico6 estrategias

Explorar

Ver todos los 96 categoríascon filtros

Constructor de Indicadores IA

Crea tu propio indicador personalizado con IA — sin código. Describe lo que quieres detectar y obtén una estrategia backtestable.

Exportar a

MT5

TradingView

Win rate64%

Trades847

Max DD-8.2%

Backtest de Cualquier Estrategia

Describe cualquier estrategia de trading en palabras simples. La IA la convierte en código y la backtestea en 10 años de datos con fees reales.

FTMO$100,000 Challenge

Daily loss4.2% / 5%

Max drawdown3.8% / 10%

Profit target7.1% / 10%

Habría superado el challenge

Simulador de Challenge

¿Pasaría tu estrategia el FTMO? Simula las reglas reales de prop firms antes de pagar $540. Conoce tus probabilidades primero.

Todas las estrategias

@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

Por qué la mayoría de backtests fallan · lo que descubrieron los traders

Citas reales de comunidades de trading. Nuestros datos confirman el patrón.

“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