AI strategy builder with historical data backtesting

For traders who want discipline, not tips.

Study our backtested 5 EMA + ADX sample template, then build your own transparent trading rules with AI, test them on up to 90 days of historical data, and start in paper mode before any broker execution.

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RulesUser-defined strategy logic
90 daysHistorical backtesting
Paper firstDefault testing workflow
No tipsNo assured returns
5 EMA + ADX Sample Template
Paper mode first
Rule BuilderAI assisted
Backtest Window90 days
Testing ModePaper first
Editable Rule Logic5m Nifty spot + option-leg template
Sample rule set User-reviewed option logic
SL₹1,000
Target₹3,000
Capital₹20K
Signal QualityADX + DMI filter
WorkflowPaper mode before live
AI Strategy Builder

Build your own strategy with AI.

Describe your trading idea in simple language. Boring Algo converts it into transparent rules that you can review, edit and backtest before paper mode or optional broker execution.

"Buy when price closes above 5 EMA and ADX is above 25."
"Exit when my stop loss or target is hit."
"Allow maximum 3 trades per day."
"Use only 1 lot in starter live mode."
AI helps structure your trading idea. It does not provide tips, buy/sell calls, assured returns or investment advice.
Prompt-to-rules builder Editable strategy logic User-selected instrument User-selected SL and target 90-day backtesting Paper mode before live
Backtested Sample Template

Start from a real EMA 5 template, then make the rules yours.

Our 5 EMA + ADX template shows how a rule-based strategy can be built, tested and reviewed. Users can edit the instrument, timeframe, entry, exit, stop loss, target, lot size and max trades before running their own backtest.

5 EMA + ADX Sample Template

5-minute 5 EMA alert candle with ADX trend-strength filter. Shown as an educational backtest template, not a recommendation.

Historical sample
ModeSample template
RulesEditable
TestingPaper first
UnderlyingUser-selected
InstrumentEditable option-leg logic
RiskExample ₹1,000 SL, ₹3,000 target
CapitalApprox ₹20K for 1-lot sample
FrequencyUser-defined max trades/day
HoldingIntraday only, no carry forward
Compliance noteNot a buy/sell call
Sample 90-Day Backtest Report

Historical sample numbers, shown with risk beside them.

These sample results come from historical broker-data testing and option-instrument reconstruction, with assumptions and limitations. They are useful for research, but they are not a recommendation and do not guarantee future results.

₹

+₹20,908 net P&L

Sample result from a 90-day historical backtest of the EMA 5 + ADX template.

DD

₹9,911 max drawdown

Drawdown is tracked from cumulative equity peak to later trough, so users can see pain, not only profit.

174

174 trades tested

Enough trades to study behavior across different market days, while still requiring paper-mode validation.

%

28.16% win rate

Win rate is shown with profit factor and drawdown so users can judge risk, not only returns.

PF

1.17 profit factor

Gross wins compared with gross losses in this sample historical report.

!

Historical example only

Backtested and simulated results can differ from live results due to slippage, liquidity, brokerage, taxes and API latency.

Dashboard Preview

One dashboard for building, testing and tracking strategies.

Users can review strategy rules, backtest reports, paper-trading results, risk settings and trade journal notes from one clean dashboard.

RulesEditable
Backtest90 days
ModePaper first
RiskUser set
Strategy PathResearch markers
Day-wise P&LReal report style
Risk Controls

Risk settings stay in the user's control.

Before any strategy moves beyond backtesting, users review and set their own lot size, stop loss, target, max trades, daily loss limit and broker connection permissions.

Stop loss
User set
Target
User set
Capital
₹20K sample
Lot size
Default 1 lot
Daily cap
User set
Kill switch
Pause anytime
Broker API
Optional after consent

The 1-lot cap is a risk-control feature. It is not a return promise or compliance claim.

Important

Boring Algo is technology and analytics, not advice.

Boring Algo does not provide investment advice, research recommendations, buy/sell calls, assured returns or portfolio management.

Users create, review and control their own strategy rules and risk settings. Options trading carries substantial risk, and historical backtests can differ from live execution.

How It Works

Backtest first. Paper mode before live.

The workflow is built for discipline: build rules, review logic, study historical behavior, then observe in paper mode before any optional broker connection.

Create account

Open your Boring Algo dashboard.

Build your own rules

Use AI to convert your trading idea into transparent strategy logic.

Review and edit

Confirm instrument, timeframe, entry, exit, SL, target, lot size and max trades.

Backtest up to 90 days

Check P&L, drawdown, win rate, trade count and day-wise results.

Start with paper mode

Track how the strategy behaves without placing real orders.

Enable live only after consent

Optionally connect your broker API and enable controlled execution with risk limits.

Build, backtest, then decide

Start building disciplined trading systems today.

Create your own trading rules, study the EMA 5 sample backtest, start in paper mode, and move forward only when your risk settings are clear.

Create your account to access Strategy Lab.
View Sample Backtest