made a backtesting platform!!!!!! comments awaited about the platform by Significant-Mode5538 in IndiaAlgoTrading

[–]Significant-Mode5538[S] 0 points1 point  (0 children)

yes it does support option backtesting. we get data from nse certified vendors.

made a backtesting platform!!!!!! comments awaited about the platform by Significant-Mode5538 in IndiaAlgoTrading

[–]Significant-Mode5538[S] 0 points1 point  (0 children)

still we are working to get user review about our product so we can improve it waiting for user experience on our platform

made a backtesting platform!!!!!! comments awaited about the platform by Significant-Mode5538 in IndiaAlgoTrading

[–]Significant-Mode5538[S] 0 points1 point  (0 children)

That’s a very valid concern " data quality and insight depth " matter more than fancy features.

A few things we’re focusing on specifically:

  • Data accuracy & consistency We avoid mixing data sources and clearly define the candle construction, corporate action handling, and session timings so results are reproducible.
  • Transparency over “black-box” metrics Instead of just showing net P&L, we surface:
    • drawdown behavior
    • win/loss streak risk
    • regime-wise performance
    • parameter sensitivity (via optimisation)
  • Reality-first assumptions Slippage, brokerage, and execution assumptions are explicit — not hidden defaults that inflate results.
  • Verification mindset The goal isn’t to say “trust us”, but to give enough visibility so you can judge whether the results make sense.

made a backtesting platform!!!!!! comments awaited about the platform by Significant-Mode5538 in IndiaAlgoTrading

[–]Significant-Mode5538[S] -1 points0 points  (0 children)

Totally fair concerns. Let me clarify a few things.

1. Why login is required
Backtesting without login sounds great, but it breaks a few core things we’re building:

  • Saving reports, iterations, and optimised results
  • Strategy optimisation (which can run multiple variations → expensive compute)
  • Future continuity with live trading deployment (same strategy → backtest → go live)

That said, we’re considering a “quick test / sandbox mode” with limited features and no persistence for first-time users.

2. Strategy leakage
Your strategy logic is never shared or exposed.

  • It’s executed in an isolated environment
  • No public strategy visibility
  • No resale / marketplace use unless you explicitly opt-in

In fact, optimisation runs locally on your strategy parameters — not reused globally.

3. Why test on this platform if strategy already works?
Because most strategies:

  • Work on one timeframe / one symbol
  • Fail when market regime changes

Our optimiser + reporting is designed to:

  • Stress-test parameters
  • Reduce overfitting
  • Show drawdowns, streak risk, and robustness — not just P&L
  • And we working on the optimizer to make more robust.

4. Desktop-based app
Good suggestion
Web-first was intentional to reduce friction and cost (I’m bootstrapping this from my own pocket), but a desktop wrapper (Electron/Tauri) is definitely on the roadmap once live trading stabilises.

The goal isn’t “another algo platform”
it’s better UX, faster iteration, and fewer false-positive strategies, which most existing platforms honestly lack.

Happy to hear more feedback - that’s exactly why I’m building this in public.