Design strategy without coding friction
The strategy builder lets you define conditions and rules visually, turning investment logic into a repeatable framework instead of a collection of ad hoc impulses.
Build and validateTest • refine • repeat
Backtesting & Strategy Builder
This feature combines historical validation with visual strategy design so investors can test ideas, refine rules, and see whether a system has edge before it reaches live capital.
History
5Y+
Rules
Visual
Edge
Measured
Learning
Systematic
Strategy Validation Engine
Visual Strategy Builder & Backtest Canvas
Test entry rules against 5 years of historical market data before committing capital.
Strategy Rule Set
check_circle20-day High Breakoutcheck_circleRSI(14) > 55check_circleAI Score > 75
5-Year Equity Growth Curve
● Strategy (+118%)● NIFTY 50 Benchmark (+64%)
5-Year Backtest Summary
Dual Momentum Breakout (5Y)
Strategy CAGR+23.6%
Benchmark (NIFTY)+12.8%
Trade Win Rate64%
Max Drawdown-11.2%
Sharpe Ratio1.84
✓ Edge confirmed across bull, bear, and consolidation market phases.
Test against real market history
Backtesting evaluates a strategy across historical market conditions so you can see if the framework survives noise, volatility, sector rotations and weak trends.
Use evidence before increasing conviction
You can compare outcomes, understand drawdowns, and decide whether a setup deserves a forward test or more refinement before it becomes a live decision.
See it in action
Strategy canvas
A visual strategy workspace showing how rules, timing and allocation can be structured before execution.
Backtest walkthrough
A walkthrough of a historical strategy test that reveals performance, risk exposure and trade quality.
Workflow & Impact
A Process Built for Real Decisions
How Backtesting & Strategy Builder transforms raw data into disciplined, defensible investment actions.
alt_routeExecution Sequence
1
Map the market conditions, entry rules and risk controls you want to test.
2
Build the strategy with a visual logic layer that is easy to review and adjust.
3
Run it across historical data to measure performance, volatility and drawdown.
4
Refine the rules and repeat until the strategy is consistent, understandable and defensible.
verifiedStrategic Impact
✓
Improves conviction by replacing guesswork with historical evidence.
✓
Helps reduce overfitting by measuring performance across different phases.
✓
Turns trading logic into a repeatable system that can be reviewed with clarity.