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.
Illustrative backtest
CAGR+18.7%
Sharpe1.42
Drawdown-12.3%
Trades248
Figures shown are illustrative of the results view, not a live strategy.
The case for building this
Indian retail has the largest underserved equity market in the world — and the data on what goes wrong is public. Here is the evidence, and what we do about it.
Nine in ten lose. Now SEBI is closing the casino.
SEBI data shows 93% of individual F&O traders lost money over FY22–FY24. In response, SEBI's November 2024 clampdown is actively pricing retail out of F&O. Systematic cash equities are no longer just a smarter choice; they are becoming the only accessible one.
SEBI, Sep 2024 · 93% 02You are trading against machines. Now you can build your own.
In FY24, 96% of proprietary-trader profits and 97% of foreign-investor profits came from algorithms — while only 13% of individual traders used them. Retail brings manual decisions to an automated fight.
SEBI, Sep 2024 · 96% 03SEBI opened retail algo trading in Feb 2025. Walk through the door correctly.
For 13 years, algorithmic access was effectively institutions-only. SEBI’s February 2025 framework is the first to give retail a sanctioned path — through broker APIs, with rule-disclosed "white-box" strategies favoured.
SEBI Circular · Feb 2025Platform 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.
Corporate Bond Carry Basket
A diversified basket of the most consistently quoted corporate bonds on NSE's debt segment, spread across 25 issues so no single credit event dominates, and rebalanced semi-annually to match how slowly the tradeable set changes.
Inspect strategyG-Sec Liquidity Ladder
Holds the most actively traded government securities — the benchmark on-the-run issues that account for most NDS-OM volume — equally weighted and rebalanced quarterly. A sovereign-credit-risk-free core with genuine daily liquidity.
Inspect strategyState Loan Spread Ladder
Holds the 15 State Development Loans offering the widest spread over the central government curve at comparable maturity, filtered to issues with at least three years to run. Quarterly, equally weighted. Same sovereign-class credit, more yield.
Inspect strategyInsights & Guides
Practical notes on backtesting, risk, execution, and systematic trading habits.
Survivorship Bias in Indian Stocks: Modelling the Exit
Survivorship bias in Indian stocks is not fixed by keeping delisted names. Four exit routes, four exit prices, and how to measure it in your own trade log.
Read guideBacktest Overfitting: The Deflated Sharpe Test
Run 50 parameter combinations and the best Sharpe is inflated by selection alone. How the Deflated Sharpe Ratio and PBO separate an edge from noise.
Read guideCommodity Trend Following on MCX: The Oldest Systematic Trade
Commodity prices are set by physical supply and demand that adjusts slowly. A mine takes years to open, a crop takes a season — which is exactly why commodity trends persist.
Read guideBuild your first strategy
Backtest against 15+ years of NSE/BSE data and deploy with confidence.
Launch Strategy Console