A selling-heavy book on Nifty & Sensex — 6 of 7 strategies collect premium, only 1 is a directional buying strategy. 27 of 33 months green, 59% win rate, mixing intraday, STBT/BTST and positional holds. Entry point starts around ~₹10L (Forge Starter's real AlgoTest margin) — sized for someone who wants a smoother curve, not a lottery ticket.
Weekly performance updates, strategy DNA breakdowns, and first access when the batch opens.
Everything else on this page so far is backtest. This isn't — it's a direct screenshot from AlgoTest's own Live Trade tracker, not a chart we built. Nothing to take our word for.
Direct screenshot from AlgoTest's Live Trade P&L page — ₹1,28,968.41 net of taxes & charges (brokerage not yet deducted), live trading since late August 2026. Green/red calendar cells and the cumulative line are AlgoTest's own rendering, not ours.
Aggregate backtested metrics. Toggle brokerage & taxes to see gross vs net returns.
Figures are AlgoTest results refreshed weekly by the ThetaForge team — not a live broker feed. Data through —.
Every strategy has a unique DNA — its signature blend of win rate, risk profile, and return pattern. Sorted by profit contribution. No rules revealed, just the measurable character.
All metrics from 33-month backtest (Jan 2024 – Sep 2026). Strategy rules are never revealed.
Grouped by behavior, diversified across indices and time.
Simulate how the portfolio behaves under different volatility regimes. Drag the VIX slider to see projected impact.
Estimates based on backtested behavior during comparable VIX environments. Not a guarantee. Historical VIX max: ~35 (Mar 2020, Jun 2024).
Low correlation = true diversification. When one strategy draws down, others compensate.
An AI-powered assistant trained on every backtest metric. Ask about drawdowns, capital, win streaks, or anything else.
They lose to themselves.
The strategy usually isn't the problem. The 3am decision to override it is.
An algorithm doesn't get angry after a loss and doesn't feel the pull to "make it back today." It doesn't hope a bad position turns around, and it doesn't get scared out of a good one. It runs the same rule on the worst day and the best day, because it can't tell the difference.
That's not a promise of profit — nothing removes market risk. It's a promise that your own hand won't be the reason the plan didn't get followed. The discipline is the product, as much as the returns are.
Join to discuss setup, capital, and strategy mix with other traders.
Founding price: ₹29,999 one-time, no subscription — for the first 100 buyers. After that, ₹44,999.
Why the wait: we're running the portfolios live now and publishing the weekly performance log through October — so founding buyers see real, verified live numbers before the batch opens, not just backtest. The founding batch opens once that live track record is up.
Recommended capital: ~₹10L to start with Forge Starter, our most accessible tier — this is the actual margin AlgoTest's own engine reports on an expiry day (the day margin peaks), not a guess. Want more strategies or higher returns? Forge Core, Pro, and Elite scale up from there — each portfolio tab above shows its own real typical-day and expiry-day figures. A single strategy alone is ₹15,000 — but buying the full 7-8 strategy portfolio for roughly 2x that price is why most buyers choose portfolio-level.
We onboard in monthly batches (1st–7th) so every buyer gets setup support. Individual strategies are available anytime.
Immediate access from Day 1: All strategies, position sizing reference, complete deployment video library, buyers-only updates channel.
Ongoing support: Email support at hello@thetaforge.in, optional live Q&A per batch, strategy updates if errors found.
Not included: One-on-one calls, custom strategy modifications, daily signals.
Two recurring costs on AlgoTest: subscription (execution credits by tier) + Virtual Execution Environment (VEE) for static IP batch execution.
Exact breakdown varies by which portfolio you run and your lot sizes. See the cost calculator below.
All popular brokers supported — Zerodha, AngelOne, Upstox, Fyers, IIFL, and 50+ others on AlgoTest.
You build each strategy manually in your own AlgoTest account by following the walkthrough videos. We do not share strategy files, and the strategies are not searchable on AlgoTest. Setting up all strategies takes 2 to 3 hours, and you only do it once.
There is a dedicated video for broker connection and IP configuration.
The portfolio mixes holding periods — some strategies are intraday (closed same day), some are STBT/BTST (carried overnight into the next session), and some are positional (held across several days). AlgoTest handles all three; each strategy's exit rule is configured for its own timing.
No recurring execution issues in our experience. 1-2 second delays can occur, which is why we include 0% and 1% slippage scenarios in all results.
AlgoTest has responsive support via Telegram. Strategies are built and verified on AlgoTest specifically — these are no-code configs (leg-builder, dropdowns, no programming), so the same setup can also be rebuilt on Tradetron or other similar platforms if you prefer, though our reference numbers and videos are based on AlgoTest.
Strategies are built manually in your own AlgoTest account by following the walkthrough videos. They are not imported or searchable on the platform.
After setup, run each strategy's backtest inside AlgoTest and confirm the figures match the reference numbers we provide. You can also compare your live trades against the backtest anytime.
This varies by which portfolio you run — they're not interchangeable risk "levels," they're different strategy mixes with genuinely different drawdown profiles. Largest drawdowns seen in the backtest (past data, not a limit):
Forge Starter (8 algos, smaller lots): -₹1.40L max drawdown
Volatility Suite (2 algos): -₹2.68L max drawdown
Forge Core (8 algos): -₹2.81L max drawdown
Forge Pro (6 algos): -₹3.50L max drawdown
Forge Elite (7 algos): -₹4.04L max drawdown
Roughly speaking, the smaller, more theta-heavy portfolios (Starter, Core, Vol Suite) carry shallower drawdowns; Elite trades more return for a deeper one. Drawdown duration for each is shown on its tab above. Live results can differ from backtested data and can exceed these figures.
Pick by drawdown you can hold through, not by a labelled "risk style" — we don't offer Defensive/Conservative/Balanced tiers of the same book. Instead, the four portfolios above genuinely differ: Volatility Suite and Forge Core run smaller and shallower, Forge Pro sits in the middle, Elite runs the largest capital and the deepest drawdown for the highest return.
Within whichever portfolio you choose, you can also set your own lot sizes in AlgoTest — what we provide is the strategies, position sizing is your choice. Starting lower until you are comfortable is a sensible approach.
Note: We are an education brand, not a SEBI adviser. We cannot advise you on which portfolio or lot size to pick.
Losing days, losing weeks, and drawdowns are normal. The backtest itself shows drawdown periods lasting several weeks and losing streaks. Judge the system over months and quarters, not days.
The backtest is a record of what happened, not a limit — live drawdowns can exceed it. Run only capital you are comfortable holding through a drawdown.
The backtest is computed on one-minute candle close values, while live fills happen at the actual traded price. Individual trades can differ in both directions, and very fast trades may complete within a single minute.
This is why slippage is applied and why you compare over a month, not trade by trade. Persistent large gaps may indicate a setup issue worth checking.
All strategies are independently profitable from 2024 to date, across bull/bear/volatile markets, across different VIX levels. Two indices (Nifty + Sensex), multiple strategies, different days and DTE logic.
Important: Zero guarantee these results repeat in future. Live results can be higher, lower, or flat. This is education + strategy walkthroughs + backtested reference data. Not a returns guarantee.
Sensex weekly expiries started May 2023. BSE introduced Sensex weekly expiries only in May 2023.
2023 data is incomplete. Only partial Sensex data for half the year. The full multi-strategy portfolio cannot run end-to-end on that period.
Pre-2023 has no Sensex weekly data. Going to 2021 or 2022 means Nifty-only — not the portfolio we built.
Recent data is more reliable. Markets change. 32 months across multiple market regimes (2024 sideways, 2025 bullish, 2026 including a drawdown stretch) is a robust window.
Platform costs for AlgoTest only. Standard broker charges apply separately. AlgoTest supports 50+ brokers. Check current pricing at algotest.in
All 7 strategies, the Portfolio Engine, and the weekly live log. You build each strategy in your own AlgoTest with the walkthrough videos — your account, your broker, your capital.
Reserving is free. No payment until the batch opens. Secure payment via Razorpay when it does.
No-cost EMI on select credit cards.
Buying the full portfolio (7-8 strategies) costs about 2x a single strategy alone — that's why most buyers go portfolio-level.
We do not guarantee profit. We do not manage your capital. Backtested results are not a promise of future returns.
All figures are actual AlgoTest backtest results over January 2024 to August 2026, with brokerage and taxes included. Historical backtested results do not represent actual trading and are not a promise of future returns.
Capital figures use the busiest-day margin model. Re-validate the final mix in a live portfolio backtest before deployment. ThetaForge is an education brand and not an investment advisory service.
We do not guarantee any profit. We do not manage your trading capital. All lot sizing, capital allocation, strategy selection, and deployment decisions are made entirely by you. The figures shown across this page are educational reference material based on past backtested data. Future market conditions may produce significantly different results, including periods of losses.
Disclaimer: This page is for educational purposes only and does not constitute investment advice, a solicitation, or an offer to buy or sell any financial instrument. All backtested results shown are hypothetical and simulated — they do not represent actual trading results and may not reflect the impact of material economic or market factors. Past performance is not indicative of future results. Options trading involves substantial risk of loss and is not suitable for all investors. Individual results will vary.