Factor investing is a systematic approach that selects stocks based on measurable attributes — value, quality, momentum, or low volatility — studied in academic research for their historical performance characteristics. Backtesting applies these factors to historical NSE data to simulate how a strategy would have performed across real market cycles, before risking any capital.
Chat with our AI to understand factor investing — then our proprietary algorithm runs a real backtest on 19 years of actual NSE data. Results are from real market history for historical reference purposes only, not AI guesses. Full LTCG/STCG tax calculations included.
*Historical backtest results (Dec 2006–Dec 2025). Past performance does not guarantee future results. Educational research only.
✅ You set the criteria • ✅ Chatbot guides you step by step • ✅ You interpret the results
Pick a strategy. Press run. See 19 years of results.
No prior knowledge needed — each strategy is ready to test in one tap. You choose what to explore. We run the numbers on real historical data.
Educational research tool — not investment advice. Past performance does not guarantee future results. You choose which strategy to explore. Consult a SEBI-registered adviser before investing.
Watch this 10-minute walkthrough covering: How to use the platform • Low Volatility strategy explained • How to interpret backtest results • Live demo with real data
You set the criteria • Chatbot guides you through it • You interpret the results
Many investors implement strategies without understanding how they would have performed historically across different market cycles.
Professional-grade backtesting tools are often expensive or require institutional access, limiting retail investor education.
Many backtesting platforms don't account for Indian tax regulations (LTCG/STCG), leading to unrealistic return expectations.
| Feature | BacktestIndia | Typical Options Tools | Typical Algo Platforms | Desktop Software |
|---|---|---|---|---|
| Focus | Long-term equity investing | Options strategies | Day/swing trading | Technical analysis |
| India tax calculations (LTCG/STCG) | ✅ | ❌ | ❌ | ❌ |
| Sequential factor filtering | ✅ | N/A | Basic only | Manual setup |
| Delisted companies data | ✅ | ❌ | ❌ | Extra cost |
| 18+ years NSE data | ✅ | Varies | Limited | Purchased separately |
| Setup required | None - Web-based | Web-based | Account linking | Installation + data feeds |
| Typical pricing | ₹399/mo | ₹500-1,500/mo | Free to ₹1,000/mo | ₹10,000-20,000 one-time |
Based on publicly available information about competing tools as of December 2024
Educational Comparison Only: This table highlights platform differences for research purposes. It is NOT a recommendation to choose any specific tool. All platforms serve different investor needs. For personalized tool selection, consult a SEBI-registered adviser.
Evidence-based backtesting analysis using 18+ years of NSE data with tax-aware methodology
In a historical simulation (Dec 2006–Dec 2025), the Low Volatility factor screen produced an 18.5-year annualised rate of return of 12.38% net of estimated Indian taxes and costs, with lower measured volatility than Nifty 50. Includes automatic LTCG/STCG tax calculations.
In a historical simulation (Dec 2006–Dec 2025), sequential factor filtering produced a 14.61% annualised rate of return net of taxes and costs — with different risk-adjusted characteristics than single-factor approaches. Sharpe ratio 0.48 in this historical simulation.
Testing 102 rolling 10-year windows from 2007-2025, this historical simulation found the Low Volatility factor screen produced higher returns than Nifty 50 in all tested periods in this dataset. Includes comprehensive SIP analysis. Historical results only — past performance does not predict future results.
In this historical simulation, all momentum return premium was concentrated in illiquid stocks (19.43% annualised rate of return). Liquid momentum stocks returned just 8.51%, below Nifty 50 in this dataset. Independently cited on Freefincal.com.
All backtests include automatic LTCG/STCG tax calculations, transaction costs, and slippage modeling for realistic Indian market conditions.
Start Building Your Strategy →Four simple steps to start learning factor investing
Set your own criteria — the chatbot explains each option, but all parameters are set entirely by you
You set market cap ranges, factors (value, quality, momentum), and rebalancing periods — the chatbot explains what each means
Simulate your strategy on 18+ years of data with realistic costs and taxes
Study CAGR, volatility, drawdowns, and compare against Nifty 50 benchmark
Everything you need to understand systematic investing through hands-on backtesting
Test strategies across major market cycles: 2008 financial crisis, 2020 COVID crash, bull markets, and everything in between. Data covering NSE-listed stocks from 2006-2025 via EODHD.
Customize market cap ranges, rebalancing frequency, factor filters (PE, PB, ROE, momentum), and weighting schemes. Your strategy, your parameters, your learning.
Includes transaction costs, brokerage, STCG/LTCG tax calculations per 2024 Indian tax laws, and slippage estimation. See real-world impact on returns.
CAGR, volatility, Sharpe ratio, Sortino ratio, maximum drawdown, recovery time, and benchmark comparisons. Professional-grade analytics for education.
Learn academic investing principles: value (PE, PB), quality (ROE, profitability), momentum, low volatility. Test factor combinations historically.
Works on desktop, tablet, mobile. Intuitive design with educational tooltips, comprehensive manual, and responsive support.
You set your own criteria using the chatbot — it walks you through each parameter one by one. Once configured, the platform runs your strategy against 18+ years of NSE data and shows results including CAGR, drawdowns, and post-tax returns. All decisions are entirely yours — the chatbot only helps you understand what each setting does.
Yes. You input your own criteria — which factors to use (value, quality, momentum, low volatility), market cap range, rebalancing frequency, and stock count. The chatbot helps you understand what each parameter means. The platform then simulates how your chosen strategy would have performed on NSE data from Dec 2006–Dec 2025, including realistic costs and Indian tax calculations. All decisions remain yours — the chatbot never recommends what to pick.
No. Backtesting only shows how a strategy would have performed historically — markets change and past results do not predict future returns. This is a purely educational tool. You define the strategy, run the test, and interpret the results yourself. The chatbot helps you navigate the platform but does not make predictions or recommendations of any kind. Always do your own research and consult a SEBI-registered Investment Adviser before making any real investment decisions.
The platform automatically applies 2024 Indian tax rules to your backtest results: 12.5% LTCG for holdings over 1 year, 20% STCG for holdings under 1 year, with a ₹1.25 lakh annual exemption. Transaction costs (0.11% per trade) and slippage (0.05%) are also modeled. Both gross and net-of-tax returns are shown so you can see the real impact of your chosen rebalancing frequency on tax liability. These are estimates for educational purposes — consult a tax adviser for your personal situation.
You can fully customize your strategy — set your own market cap ranges, choose which factors to filter by (PE, PB, ROE, momentum, low volatility), set rebalancing frequency, and pick stock count. The chatbot walks you through each option and explains what it does, but every choice is yours to make. Pre-built templates are also available as a starting point if you prefer.
We are NOT SEBI-registered and do NOT provide investment advice of any kind. This is a self-directed educational tool — you input all your own criteria, you run the backtest, and you interpret the results. The chatbot only helps you understand the platform's features and what each parameter means. It does not suggest strategies, recommend stocks, or tell you what to invest in. For personalized investment advice, please consult a SEBI-registered Investment Adviser.
BacktestIndia uses historical data sourced from EODHD Financial APIs covering NSE-listed stocks from December 2006 to December 2025 — over 18 years of price history. The dataset includes 500+ NSE-listed companies and includes delisted companies to reduce survivorship bias. All data is used purely for your own educational backtesting — the platform does not use this data to make any recommendations.
The platform applies 2024 Indian tax rules to the strategy you configure: 12.5% LTCG for holdings over 1 year, 20% STCG for holdings under 1 year, with a ₹1.25 lakh annual exemption. Every rebalancing event in your chosen strategy is tracked, holding periods are calculated per stock, and both gross and net-of-tax CAGR are shown. This helps you see how your own rebalancing frequency choice affects real post-tax returns. These are educational estimates only — your actual tax liability depends on your personal situation and you should consult a qualified tax adviser.
This sample backtest shows how a low volatility factor strategy performed historically. Results include realistic transaction costs and Indian tax calculations. Want to test your own factor combinations? Use the chatbot to configure and run your own strategy.
Build & Test Your Own Strategy →