Built for traders who think in systems
Use Saral AI to turn trading ideas into strategy logic, backtest on historical NSE/BSE data, and deploy with confidence.
Sample backtest
CAGR+18.7%
Sharpe1.42
Drawdown-12.3%
Trades248
Analyze
Versions: Compare strategy changes
Costs: Estimate brokerage and slippage
Risk: Review exposure before deploy
Deploy
Paper Trading: Simulate orders on live prices
Live Trading: Send broker orders after checks
Platform Features
Core systems for building, validating, and operating algorithmic strategies.
Visual Strategy Builder
Drag-and-drop nodes to define your universe, reconstitution pipeline, entry/exit criteria, and portfolio construction rules. Express multi-factor and multi-rule strategies as a visual pipeline. No Python, no pseudocode.
Explore module 02Strategy Templates
Start with proven, pre-built strategy templates and customize them to your investment thesis. Learn from tested approaches and make them your own.
Explore module 03Backtesting on 15+ Years of NSE/BSE Data
Test your strategies against 15+ years of historical NSE and BSE data. Our backtesting engine handles splits, dividends, delistings, and survivorship bias correctly.
Explore moduleStrategy Templates
Start from systematic ideas that already have structure, rules, and context.
Blank Canvas
An empty starting point. No filters, no rules — just a default NSE universe with equal weighting and weekly rebalancing. Start here when you want full control.
Inspect strategyDefensive Low Volatility
Defensive strategy targeting stable, well-established companies. Requires a large market cap (proxy for lower volatility) and selects the bottom 20 by recent price range (high-low spread) — stocks with the smallest daily swings.
Inspect strategy52-Week High Breakout
Targets stocks trading near their all-time highs — a breakout momentum strategy. Filters for stocks where close is within 5% of their all-time high, then selects the top 20 by market cap.
Inspect strategyInsights & Guides
Practical notes on backtesting, risk, execution, and systematic trading habits.
Cognitive Biases That Destroy Algo Trading Strategies
From overfitting to survivorship bias, the most common cognitive and statistical biases that lead algo traders astray, and how to avoid them.
Read guideWhat is Algorithmic Trading? A Complete Guide for Indian Traders
Algorithmic trading uses computer programs to execute trades based on predefined rules. Learn how algo trading works, its benefits, SEBI regulations, and how to get started in India.
Read guideBacktesting Trading Strategies: A Step-by-Step Guide
Learn how to backtest trading strategies properly. Avoid common pitfalls like look-ahead bias and overfitting. A practical guide for Indian market traders.
Read guideBuild your first strategy
Backtest against 15+ years of NSE/BSE data and deploy with confidence.
Launch Strategy Console