Backtest any trading strategy — just describe it

AI-powered backtesting for crypto, forex, stocks, and commodities. Describe your strategy in natural language, get interactive charts and metrics, then refine with AI feedback. No coding required.

Works with
Crypto Forex Stocks Gold & Silver

Build, test, and refine — all in one place

tradetest.ai
Your Strategy
Buy Bitcoin when the 20-day moving average crosses above the 50-day moving average and RSI is below 60. Sell when RSI exceeds 75 or when price drops 8% from the recent high. Allocate 25% of portfolio per position.
Asset: BTC/USD
Period: Jan 2023 – Dec 2024
Capital: $100,000

Backtest Results

Profitable
+47.3%
Total Return
68%
Win Rate
-12.4%
Max Drawdown
1.84
Sharpe Ratio
vs Buy & Hold CAGR Calmar Expectancy SQN Monthly P&L Drawdown Timeline +20 more metrics
Equity Curve
$100K $125K $150K Apr 23 Oct 23 Apr 24 Dec 24
Win

BTC $42,100 → $48,750 +15.8% · 12 days

Win

BTC $44,200 → $51,300 +16.1% · 18 days

Loss

BTC $52,800 → $49,100 -7.0% · 6 days

tradetest.ai — Strategy Builder
I want a mean reversion strategy for ETH on the 4h timeframe. Something that buys oversold dips.
AI
Great choice! For a mean reversion strategy on ETH/USDT 4h, I'd suggest combining RSI with Bollinger Bands. Let me clarify a few things:

1. RSI threshold — buy below 30 (classic oversold) or 35 (more signals)?
2. Exit — at RSI 70 or when price hits the middle Bollinger Band?
3. Stoploss — how much risk per trade? 6-8% is common for 4h.
RSI below 30, exit at middle band, 6% stoploss. Add a volume-weighted momentum filter — I want volume to confirm the dip.
AI
EntryRSI < 30 AND close < BB Lower AND vol_momentum > 1.2
Customvol_momentum = volume / SMA(volume, 20) — confirms real selling pressure
ExitClose > BB Middle OR RSI > 70
Stoploss-6%
Timeframe4h
PairETH/USDT

Shall I create this as v1?
Yes, go!
AI
ETH RSI Bollinger v1 saved! Click "Run Backtest" on the version card to test it.
tradetest.ai — Strategy Refinement

v1 → v2 → v3: From losing to profitable

AI analyzes each backtest result and suggests targeted improvements

v1
Basic RSI
-18%
42 trades · 34% win
❌ Buys in downtrends
v2
+ EMA200 Filter
+2%
18 trades · 56% win
⚠️ Low trade count
v3
+ Volume + ADX
+24%
31 trades · 61% win
✅ Balanced risk/reward
AI
I've analyzed the v1 backtest results in detail. Here's what I found:

📊 Key Problems:
-18% return with 42 trades and only 34% win rate — most entries are losing trades
• Max drawdown hit -32% during Feb 2024's downtrend — the strategy kept buying as price fell
• Average losing trade: -4.8% vs average winner: +2.1% — risk/reward ratio is inverted
• 12 out of 28 losing trades happened while price was below EMA(200) — clear downtrend entries

🔍 Root Cause: RSI can stay oversold for weeks in a downtrend. Without a trend filter, the strategy keeps "catching falling knives."

💡 Suggested Fixes for v2:
1. EMA(200) trend filter — only buy when price is above EMA200. This alone would have eliminated 12 losing trades from v1.
2. ADX > 20 — confirms there's enough market movement for mean reversion to work. Low ADX = choppy market = false signals.
3. Tighter stoploss: -8% → -6% — with better entry quality, we can afford tighter stops.

Based on the trade data, these changes should improve win rate from 34% to ~55-60% and reduce max drawdown significantly. Want me to create v2?

ChatGPT can't backtest your strategy. We can.

AI chatbots can suggest trading ideas, but they can't run them against real data. Other tools show you what you want to see. We show you what actually happened.

Not a chatbot guessing numbers

ChatGPT and Claude can talk about strategies — but the backtest results they give you are fabricated. No real market data, no actual execution. TradeTest.ai runs your strategy against real historical prices and gives you verified results.

Honest results — losses included

We don't cherry-pick winning strategies. You see every losing trade, max drawdown, and risk metric. A strategy with 50% return but 40% drawdown is not a good strategy — and we'll tell you that.

Every result saved and versioned

Every backtest, every version, every conversation — permanently saved. Compare v1 vs v5, go back to a version that worked. Other tools give you a one-shot result and forget it.

Iterate until it works

This isn't a one-shot tool. Backtest, discuss results with AI, identify weaknesses, improve parameters, test again. The feedback loop is the product — that's how real strategies are built.

From idea to backtest in seconds

1

Chat with AI

Describe your strategy in natural language. The AI asks questions, understands indicators, risk rules, and entry/exit logic.

2

Review & Approve

AI presents a clear parameter table. Adjust timeframe, stoploss, ROI as needed. Approve to create a version.

3

Backtest & Analyze

One click to run. Get candlestick charts with entry/exit markers, indicator overlays, equity curves, and detailed metrics.

4

Discuss & Improve

Review results with AI — it analyzes your backtest, identifies weaknesses, and suggests improvements. Create new versions and compare until you're satisfied.

Everything you need to backtest trading strategies

AI Strategy Agent

Describe what you want in plain language. AI turns your ideas into a fully testable strategy — no technical knowledge needed.

Strategy Versioning

Create v1, v2, v3 and beyond. Compare performance across versions. Never lose a working strategy.

Professional Reports & Charts

20+ metrics per backtest: Sharpe, CAGR, Calmar, expectancy, drawdown timeline, monthly P&L breakdown. Plus TradingView-quality charts with entry/exit markers.

Always Reliable Results

If something goes wrong, AI automatically fixes it and retries. You only see successful results.

AI-Powered Refinement

After backtesting, discuss results with AI. It spots problems — tight stoploss, missing trend filters, poor exit timing — and creates an improved version automatically.

Multi-Timeframe Support

Use multiple timeframes in a single strategy — like daily trends with hourly entries. All required data is fetched automatically.

Custom Indicators

Need a volume-weighted RSI or a custom momentum oscillator? Just describe it — the AI builds custom indicators directly into your strategy. No library limits.

PDF Reports

Export professional backtest reports as PDF — strategy rules, metrics, equity curve, trade list. Share with your team or keep for your records.

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