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.
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.
Saral AI Strategy Assistant
Describe your trading thesis in plain English and let our Saral AI translate it into a functional strategy flow. Brainstorm rules, refine entry/exit logic, and iterate faster with an expert partner.
Explore module 02Visual Strategy Builder
Drag-and-drop nodes to define your universe, reconstitution pipeline, entry/exit criteria, and portfolio construction rules. Build strategies as complex as you can imagine - without writing a single line of code.
Explore module 03Strategy 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 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, here are 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 guideReady to trade smarter?
Join the open beta and start building your first algorithmic strategy today. Free while in early access.
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