Build
UniverseRulesPortfolio
Express an investment thesis as visible, editable rules—not code.
No-code systematic investing
Built for investors who think in systems
Build a strategy visually, test it against Indian market history, and take it from paper to execution when you are ready.
Visual rule builder 15+ years of NSE/BSE history Paper to live execution
Saral Agent
From idea to evidence Buy top 20 NSE stocks by @RSI above 50, rebalance weekly on @close
Agent-created strategy
NSE universe@RSI > 50Top 20Weekly
Illustrative backtest
18.7%CAGR1.42Sharpe-12.3%Max DD
Can you reduce drawdown without changing the core idea?
Agent refinement: add 200-day trend filter
Max drawdown-12.3% → -8.7%
CAGR18.7% → 17.1%
Ask Saral to refine the strategySend
One connected workflow
Build. Backtest. Deploy.
Each stage uses the same strategy logic, so there is no handoff between an idea, its evidence, and its execution.
Backtest
HistoryCostsMetrics
Understand the return, risk, and behaviour of those rules across market history.
Deploy
PaperReviewExecute
Forward-test first, then deploy a validated strategy through supported execution.
Agent-guided research
Refine the strategy, not just the prompt.
Ask Saral to change a rule. It shows what changed, reruns the evidence, and keeps the same strategy logic through to deployment.
Try the Agentic BuilderReduce drawdown and test again.
Saral AgentAdded: Close above 200-day moving average
Max drawdown-12.3% → -8.7%
CAGR18.7% → 17.1%
Deploy when you are readyPaper to supported execution
Research integrity
A backtest is only useful if you can trust it.
Serious research needs a history that reflects the market as it was, plus the practical assumptions that affect results.
Explore backtesting- Corporate actions
- Historical universes
- Delisted securities
- Survivorship-bias handling
- Transaction costs
- Rebalancing assumptions
Why systematic now
See the full case The case for rules over impulse.
Three reasons to look beyond discretionary, short-term trading.
Templates
Browse templates Start from a strategy with structure.
Explore systematic ideas, then adapt their rules to your own thesis.
IncomeTemplate
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 strategyIncomeTemplate
G-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 strategyIncomeTemplate
State 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 strategy Research
Read all research Research for people who actually backtest.
Notes on the biases, assumptions, and evidence behind systematic investing.
Backtesting
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 research Backtesting
Backtest 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 research Commodities
Commodity 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 researchTurn one investment idea into a backtest.
Build the rules, examine the assumptions, and see how your thesis behaves across history.
Launch Strategy Console