Explore historical strategy examples, monitor strategies you want to follow, and test your own ideas in Strategy Lab with universe and investment-mode selection. Or use the AI Strategy Builder for a plain-English quick start.
TRUST THE NUMBERS
Backtest on what actually existed.
Most backtests cheat — they peek at the future, ignore delisted stocks, treat splits as if they never happened. ftInvstr corrects for all three.
THE RAW MATERIAL
18 years of clean data. Every field point-in-time.
OHLC + volume since 2008. 80+ XBRL fundamentals since 2018. ML forward-return predictions since 2020.
BUILD WITH ANY OF THESE
Mix fundamentals, prices, and ML signals into one expression.
Revenue. ROE. VWAP. ML Score. Combine however you want — your expression runs across the full universe in seconds.
PROBABILITY, NOT GUESSING
Lean on a model that's seen more than you have.
Forward 1-year predictions of Sales, EBIT, and FCF growth — both raw and cross-sectional rank. Trained on stable 7Y, rolling 4Y, and recent 2Y windows.
CLASSICS, ENCODED
16 chart patterns. One click to backtest.
Hammer. Engulfing. Doji. Morning Star. Marubozu. Spinning Top. 16 in all — combine with AND/OR/SUM logic and run across thousands of names.
IDEA TO BACKTEST IN SECONDS
Type the idea. We write the strategy.
Plain-English query → runnable expression → live backtest. Edit in Pro mode when you want full control.
STAND ON SHOULDERS
Public strategies. Fork, follow, or learn from them.
Browse what the community is testing. Track strategies that match your style. Steal what works.
WHY SYSTEMATIC
Discretion isn’t working in Indian markets.
Most active mutual fund managers can’t beat the benchmark — and the longer you measure, the worse it gets.
60%
1-YEAR
of active large-cap funds underperformed the benchmark in 2024
70%
5-YEAR
underperformed over the last five years
84%
10-YEAR
underperformed over the last decade
Indian Equity Large-Cap funds vs S&P India LargeMidCap. Source: SPIVA India Year-End 2024, S&P Dow Jones Indices.
And for active traders, the math is worse:
93%
of individual F&O traders lost money from FY22 to FY24. Aggregate losses: ₹1.8 lakh crore over three years. Average loss per trader: ₹1.1 lakh.
Source: SEBI press release, September 2024.
ftInvstr is built for the other path: rules-based research, tested before deployed. No tips, no black-box predictions — transparent backtests on point-in-time data, with the costs and the rules visible upfront.
USE FROM ANY AI · NEW
Talk to ftInvstr from Claude, ChatGPT, or Cursor.
11 tools live over the open Model Context Protocol. Your AI assistant can browse 60+ strategies, design new ones, and run real full-fidelity backtests — all from a chat window. No copy-pasting, no context-switching.
Claude DesktopCursorClaude CodeWindsurfVS CodeChatGPTPython SDK
You
Find a defensive Indian quality strategy with low drawdown.
AI
ftInvstr has 60+ backtested strategies. DEF_LowVol60_Quality_ROCE returns +14.2% CAGR with only −18% max drawdown since 2021. Want me to backtest a variant?
You
Yes, run it on NIFTY200 with monthly rebalancing.
AI
Done. CAGR improved to +15.8%, Sharpe up from 0.71 → 0.84. Want the year-by-year breakdown?
Browse
60+ live backtested strategies — CAGR, Sharpe, drawdown, year-by-year.
Design
Compose new expressions from 276 fields and 36 operators.
Run
Submit real full-fidelity backtests. Poll status. Cancel mid-flight.
Choose
7 NIFTY universes, 7 investment modes, daily/weekly/monthly rebalance.
Works with any MCP client. Free tier: 10 backtests/day.
FAQ
Common questions before you sign up.
Stop guessing. Start testing.
NEW TO QUANT?Start with public strategies — no code required. Browse what others have built, fork what works.
Free to start · No credit card · Indian equities only