How to Use AlgoTest for Strategy Testing
AlgoTest has emerged as a powerful platform for retail traders in India to backtest, paper trade, and deploy intraday and positional strategies without writing any code.
Whether you’re a beginner looking to validate simple logic or an options trader testing multi-leg strategies, AlgoTest simplifies the process.
This guide will show you how to use AlgoTest step-by-step to create and test your own strategy with live and historical data.
What is AlgoTest?
AlgoTest is an India-based, browser-based platform that allows traders to:
- Backtest options and stock strategies
- Simulate trades on historical data
- Deploy live execution with select brokers
- Monitor P&L, drawdowns, and metrics in real time
It supports NSE options, futures, and stocks, offering one of the fastest and cleanest backtesting interfaces in the Indian retail space.
Key Features of AlgoTest
- No coding required (uses drop-down logic builder)
- Works on real exchange data with 1-minute granularity
- Supports entry/exit conditions, stop-loss, target, time filters
- Strategies include short straddle, iron condor, directional spreads
- Broker integration with Alice Blue, Kotak Neo, etc.
- Live deployment with real-time paper trading
Step-by-Step: How to Use AlgoTest for Strategy Testing
Step 1: Create a Free Account
Visit AlgoTest.in and create an account using your email or mobile number. You’ll be greeted with a dashboard that allows access to backtest, paper trade, and deploy modules.
Step 2: Choose Your Instrument
Select your instrument:
- Nifty / Bank Nifty / Finnifty
- Options (CE, PE), Futures, Stocks
Then, choose expiry (weekly/monthly), lot size, and start date.
Step 3: Build the Strategy Logic
Use their visual builder to:
- Define entry condition (e.g., time is 9:30 AM + price crosses 20 EMA)
- Set stop-loss and target (e.g., SL 30%, target 40%)
- Choose exit logic (e.g., time-based exit at 3:15 PM)
- Add filters like OI, IV, or Delta (optional for options)
Step 4: Run the Backtest
Click “Run Backtest” and let the system simulate trades using historical data. Within seconds, you’ll get:
- Total P&L
- Win rate
- Max drawdown
- Average profit per trade
- Equity curve
Step 5: Analyze the Results
Focus on:
- Sharpe ratio > 1
- Max Drawdown < 30%
- Positive CAGR
- Win rate above 50% for consistency
You can tweak strategy parameters and re-test to optimize results.
Step 6: Paper Trade or Deploy Live
Once satisfied:
- Paper Trade for real-time testing without risk
- Deploy Live using broker APIs (only available in premium plans)
You can monitor trades in real time and download reports.
Pricing Plans
Plan | Features | Monthly Price |
---|---|---|
Free | Limited backtesting, delayed paper trading | ₹0 |
Basic | Intraday backtesting, paper trading | ₹499 |
Pro | Full options strategy builder, live deployment | ₹1499 |
Note: Pricing may change. Check AlgoTest site for latest offers.
Pros and Cons
✅ Pros:
- Beginner-friendly visual interface
- Accurate 1-min backtesting data
- Clean strategy metrics and export
- Live deployment + alerts
- Great for option sellers and index traders
❌ Cons:
- No TradingView integration yet
- Broker support limited to select names
- Not suited for high-frequency strategies
Final Thoughts
AlgoTest is one of the best strategy testing platforms available to Indian traders. Whether you’re building intraday straddles or swing-based directional plans, AlgoTest provides accurate backtesting and clean deployment tools — no coding needed.
It’s a must-try platform for anyone serious about options or system-based trading in India.
FAQs
Is AlgoTest SEBI registered?
No. AlgoTest is a technology provider, not a broker. You need a SEBI-registered broker for execution.
Does AlgoTest support stocks?
Yes. You can backtest stock strategies with simple entry/exit logic.
Is it better than Sensibull for backtesting?
Yes. Sensibull is for execution and options view. AlgoTest is more powerful for testing multi-leg logic.
Can I use it for intraday only?
No. AlgoTest supports both intraday and positional strategy testing.