AI Backtest Accelerator
SkillCommerce & financeCombines AI-powered strategy analysis with high-speed backtesting to rapidly iterate on trading ideas. Test hundreds of parameter combinations in minutes, with AI suggesting optimizations.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the AI Backtest Accelerator skill
About this capability
About AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
What this skill tells your AI
The instructions your AI receives, as published by signal-execution-labs/forex-trading-ai-agent in skills/ai-backtest-accelerator/SKILL.md and read by ahel’s review.
LuxAlgo-inspired AI platform that accelerates trading strategy development
Overview
Combines AI-powered strategy analysis with high-speed backtesting to rapidly iterate on trading ideas. Test hundreds of parameter combinations in minutes, with AI suggesting optimizations.
Features
Speed Optimization
- Parallel Execution: Test multiple param sets simultaneously
- GPU Acceleration: Optional CUDA support for complex calcs
- Incremental Updates: Only recalculate changed portions
- Cached Indicators: Pre-compute common indicators
AI-Powered Analysis
- Strategy Critique: AI reviews your strategy logic
- Parameter Suggestions: AI recommends optimal ranges
- Pattern Recognition: Find similar historical setups
- Risk Assessment: AI evaluates strategy risk profile
Multi-Factor Testing
- Walk-Forward: Rolling window validation
- Monte Carlo: Randomized trade ordering
- Stress Testing: Test against flash crashes, gaps
- Regime Analysis: Performance by market condition
Optimization Algorithms
- Grid Search: Exhaustive parameter sweep
- Genetic Algorithm: Evolutionary optimization
- Bayesian Optimization: Smart parameter exploration
- Random Forest: Feature importance for params
Usage
// Create accelerated backtest
const backtest = kit.backtest.accelerate({
strategy: 'momentum_cross',
symbol: 'BTCUSD',
timeframe: '1h',
period: { start: '2024-01-01', end: '2025-12-31' },
params: {
fastMA: { min: 5, max: 50, step: 5 },
slowMA: { min: 20, max: 200, step: 10 },
stopLoss: { min: 0.5, max: 3, step: 0.5 }
},
optimization: 'genetic',
aiCritique: true
});
// Run with progress callback
const results = await backtest.run((progress) => {
console.log(`${progress.tested}/${progress.total} combinations tested`);
});
// Get AI analysis
const analysis = await results.getAIAnalysis();
console.log(analysis.suggestions);
API Endpoints
| Method | Endpoint | Description |
|---|---|---|
| POST | /api/backtest/accelerate | Start accelerated backtest |
| GET | /api/backtest/:id/progress | Check progress |
| GET | /api/backtest/:id/results | Get results |
| POST | /api/backtest/:id/analyze | Get AI analysis |
| POST | /api/backtest/compare | Compare multiple strategies |
Performance Metrics
| Metric | Description |
|---|---|
| Sharpe Ratio | Risk-adjusted returns |
| Sortino Ratio | Downside risk-adjusted |
| Calmar Ratio | Return vs max drawdown |
| Profit Factor | Gross profit / gross loss |
| Win Rate | Percentage of winning trades |
| Max Drawdown | Largest peak-to-trough decline |
| Recovery Factor | Net profit / max drawdown |
| Expectancy | Average profit per trade |
Inspired By
LuxAlgo's AI backtesting platform that accelerates trading strategy development through intelligent optimization.
Signals
- GitHub stars
- 136
- Forks
- 870
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
ai-backtest-accelerator- Source
- github.com/signal-execution-labs/forex-trading-ai-agent