Tradetron
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Product · Backtest · Grade · Deploy

Know if your edge is real — before you risk a rupee.

Nobody can predict the market. But you can find out whether a strategy has an edge — by replaying it against years of real, minute-by-minute history. Tradetron does that in a few clicks, then hands you an interactive report graded A–F, net of every cost. History doesn't repeat, but it rhymes.

A real Tradetron backtest report — grade A, KPIs, equity curve and Monte-Carlo robustness.
6+ yrs
Minute-by-minute NSE & NFO history — since Jan 2020
5
Markets — NSE · NFO · MCX · BSE · Crypto
A–F
Every run graded, net of costs
20
Per 6-month backtest, one underlying
Why it matters

Trading without an edge is just an expensive way to gamble.

The future is genuinely unpredictable — no backtest changes that. What a backtest does change is whether you're guessing. It answers the one question that separates a strategy from a hunch: over hundreds of past days, did this set of rules actually make money after costs — or did it only look good on a lucky week?

The premise
Markets rhyme

Prices never repeat exactly, but conditions recur — trends, mean-reversion, volatility crushes, gap-ups. A rule that profited across many of those regimes is far likelier to hold than one you've only imagined.

The test
Edge vs. luck

A single good month proves nothing. A backtest exposes concentration, drawdowns and win-rate across the whole window — and a Monte-Carlo pass reshuffles your returns 2,000 times to ask: was this edge, or luck?

The discipline
Costs are real

Brokerage, slippage, STT, GST and stamp duty quietly eat returns. Gross P&L flatters everyone. Every Tradetron backtest is scored on net P&L — so a strategy that only wins before costs can't hide.

How it works

From My Strategies to a graded report in minutes.

Any template you build — with Claude, the Advanced Builder, or the wizards — is one click from a backtest. No exports, no spreadsheets, no code.

01
Hit Backtest

Open My Strategies, find your strategy, and press the Backtest button on its row — same rules you'd deploy live.

02
Pick window & costs

Choose a date range and capital, and set your cost profile once — brokerage, slippage and statutory charges for your broker and segment.

03
The engine replays history

Every leg is filled at the actual traded price for each minute of the window — real option premiums and OI, not a model.

04
Read the report

In minutes you get an interactive, graded report — grade, stats, equity curve, drawdowns, Monte-Carlo and a live cost lab.

Why it's different

Most backtesters take a shortcut. Tradetron lives through every minute.

Most fast backtesters are vectorised: they run your signal across the whole price history in one big array sweep. It's quick — and it's stateless. It has no idea what your running P&L is, which legs are still open, or what you decided three bars ago. Tradetron can't work that way, because your strategy's own state drives its next decision.

Vectorised engines
Fast, but stateless & approximate
  • Compute signals over the whole series at once — no memory of what happened between bars.
  • Can't model a decision that depends on live P&L — "exit everything if the strategy is down ₹X".
  • Trailing stops, re-entries, per-leg repair, dynamic sizing and set/leg state get faked or dropped.
  • The result is a mathematical approximation — not what your rules would actually have done.
Tradetron · event-driven
Stateful, sequential & faithful
  • Walks every data point in order, carrying full state — positions, P&L, runtime variables, counters, set & leg status.
  • Every condition is evaluated against that live state, exactly as the deploy-time engine would.
  • Path-dependent logic — trailing SL, re-entries, hedge repair, P&L-based exits — runs for real, not approximated.
  • What you backtest is byte-for-byte what you would have traded.

Because each decision feeds back into your strategy's own state, there is no shortcut and no array trick that gets it right. The only honest way is to step through history one data point at a time — the same engine, the same order of events, the same rules:

09:1509:1609:17check state · decide · fill09:18every minute, in sequence, to today.
The data behind it

A backtest is only as honest as its data.

Tradetron replays real historical prices — minute-resolution OHLC and open interest, including actual option premiums — not a Black-Scholes approximation. Here's what's loaded today, all at 1-minute resolution.

MarketGranularityHistory availableDepth
NSE Index & cash spot18,713 instruments · ~730 M bars1-minute OHLCJan 2020 → today6+ yrs
NFO NSE F&O — index & single-stock derivatives536,895 instruments · ~820 M bars1-minute OHLC + OIIndex F&O Jan 2020 · stock futures 2021 →6+ yrs
MCX Commodities — crude, gold, silver, natgas…13,616 instruments · ~54 M bars1-minute OHLC + OI2020, 2021, 2023, 2024 · 2022 backfilling4 yrs
BSE Sensex & Bankex F&O26,798 instruments · ~30 M bars1-minute OHLC + OI2025 → today1.5 yrs
Crypto Delta India — crypto futures & optionsfull option chain · counts confirming1-minute OHLC≈ 2021 → today~5 yrs

Across markets: 596,000+ instruments and ~1.6 billion 1-minute bars — every real print, deepening every day. NSE, NFO and Delta-India crypto backtest today; MCX and BSE history is being expanded.

On the roadmap · target 2026

Cash equities & stock F&O, end-of-day. The full NSE stock universe and single-stock derivatives from the official NSE Bhavcopy — daily bars, corporate-action adjusted (splits, bonuses, dividends) so multi-year equity backtests stay clean and survivorship-honest. Targeting 2026; timing subject to change.

The report

One report that a fund analyst would recognise.

Not a PDF of numbers — a live, interactive document you can interrogate. Switch the period, toggle gross vs. net, drag the cost sliders, drill into every round-trip.

tradetron · backtest report
Actual Tradetron backtest report — grade, KPI grid, statistics, equity curve, Monte-Carlo.
  • The grade, up top
    An A–F medallion and a one-line verdict — the whole strategy's health in a glance, before you read a single chart.
  • Change the period on the fly
    A dropdown re-slices everything to the last 1M / 3M / 6M / 12M or the full window — stats, charts and grade recompute instantly.
  • Gross ↔ net, one toggle
    Flip between headline gross P&L and the number that actually lands in your account after every charge.
  • Monte-Carlo: edge or luck?
    2,000 bootstrapped equity paths give a probability-of-profit and a realistic best/worst cone around your result.
  • Every statistic that matters
    CAGR, Sharpe, Sortino, Calmar, expectancy, win/loss streaks, drawdown depth & days underwater, trade-by-trade MAE/MFE.
Open the full interactive report →
The grade

Why a single letter is worth a thousand rows.

A stats table can bury a fatal flaw in row 30. Tradetron's grading rubric distils the whole backtest into one honest verdict — scored on net-of-cost performance — and it's fully transparent: you can audit exactly why a strategy earned its letter. No black box, no cherry-picking the gross number.

A
Robust
score ≥ 85
B
Solid
72–84
C
Mixed
58–71
D
Fragile
42–57
F
Very fragile
< 42 · or a net loss

The score starts at 100 and is docked against four things that quietly wreck real accounts:

Drawdownhow deep did it hurt

The worst peak-to-trough fall on your capital. A 20% max drawdown costs a little; a 50%+ drawdown — the kind that makes you switch the strategy off at the worst moment — costs a lot.

Concentrationone lucky month?

How much of the profit came from a single month. The penalty starts once one month carries roughly 35% of the result and climbs toward 100% — because a strategy resting on one month is really one lucky event, not an edge.

Win ratehow often it works

The share of days (and months) in the green. A strategy that loses on most days needs enormous winners to survive — that fragility shows up here.

Net Sharpereturn per unit of risk

Risk-adjusted return after costs. A sub-1 net Sharpe is mediocre for an algo and moves the grade hard; 2+ is genuinely strong. Reward without the risk to earn it doesn't count.

Below the grade, the report lists the risk flags that fired and a short set of hypotheses to test — "a 90-day drawdown suggests no portfolio stop-loss; add a max-loss kill-switch and re-run" — turning a verdict into your next experiment.

Live cost lab

Watch costs eat your edge — in real time.

This is the thing a static PDF can never do. Drag any cost assumption and the whole report — net P&L, ROI, net Sharpe, the grade — recomputes on the spot. Try it right here (illustrative; the live report runs it on your actual fills):

Brokerage / order₹20
Slippage %0.03%
STT % (on sell)0.05%
Exchange txn %0.03%
GST % (on brokerage + txn)18%
Gross P&L₹3,22,049
Total costs−₹53,766
Net P&L₹2,68,283
Net ROI+134%

Illustrative sample, chosen to show the report format — a deliberately strong result, not typical and not a return to expect. Intraday options · ₹2.00 L capital · ~746 legs · ₹4.0 Cr turnover.

Set expectations

A faithful replay — not a time machine.

Tradetron reproduces your logic exactly, but a backtest can only replay what history recorded. A few things genuinely can't be reconstructed — know them, and your expectations stay honest.

Can't backtest
Live account & broker state

Your margin, funds and equity live inside your broker in real time — there's no historical copy to replay, and a backtest doesn't model real SPAN/ELM margin.

  • Available margin
  • Account equity
  • Capital deployed
Can't backtest
Real-time & external feeds

Data that arrives live from an outside source has no stored past, so it can't be reconstructed for a historical run.

  • Sentiment / news score
  • StockGPT analysis
  • Live FX rates (USD-INR…)
  • External API / webhook data
Can't backtest
Sub-minute & microstructure

Minute candles carry no bid/ask spread and no intra-minute sequence, so anything that hinges on tick-level timing or the exact spread can't be reproduced.

  • Bid / ask price
  • The Sec (sub-minute) keyword
  • Latency-dependent fills
API-driven

Strategies that trade on external API or webhook signals can't be backtested. If your strategy fires on alerts pushed from TradingView, a custom webhook, or a third-party API, those past signals were never recorded — there is nothing to replay. Validate those in paper trading instead.

Minute ≠ tick

The engine replays 1-minute bars, not every tick. Inside a minute the exact path of price is invisible, so a stop-loss, target or entry is filled at the minute's price — not the precise instant it would have triggered live. Treat fills as faithful approximations, not tick-perfect: real slippage, partial fills and fast intra-minute spikes can differ. That's exactly why the honest path is always Backtest → Paper → Live.

Pricing

Priced to run, not to ration.

Backtesting runs on credits you top up from the Backtest page. No subscription, no lock-in — buy what you'll use.

Pay per run
₹20 / credit
1 credit = 6 months of history · 1 underlying
  • Full interactive report with the grade, stats, charts, Monte-Carlo and cost lab
  • Buy credits in seconds from the Backtest page — paid out of your wallet balance
  • A failed or errored run is refunded — you're only charged for a completed backtest
  • Detailed reports stay live for 3 days, then archive to a summary you keep
Do the math

Testing a Nifty weekly straddle over the last 3 years?
→ 3 years = 6 six-month blocks × 1 underlying
6 credits = ₹120 for the full run.

Want to compare it on Bank Nifty too?
→ another 6 credits = ₹120.

A morning's worth of rigorous testing for the price of a coffee — and you'll know whether the edge is real before you deploy a single lot.

Buy credits & run →
Questions

Before you run your first one.

If the future is unpredictable, what's the point of a backtest?
A backtest doesn't predict — it falsifies. It can't tell you a strategy will make money next month, but it can tell you a strategy that lost money across six years of history, or only worked in one lucky window, is not worth deploying. It moves you from "I have a feeling" to "this survived hundreds of real trading days." That's the difference between an edge and a hope.
How realistic are the fills — is this a simulation or real prices?
Real prices. The engine replays actual historical OHLC and open interest at minute resolution — including real option premiums — and fills each leg at the traded price for that minute, the same way the live engine would. Note: minute bars aren't tick data, so the exact instant a stop or target triggers within a minute is approximated.
Can every strategy be backtested?
Almost. Anything driven by price, time, technical indicators and position state replays faithfully. What can't: logic reading live account state (margin, funds, equity), real-time or external feeds (sentiment, live FX rates, news), and strategies that fire on externally-pushed API or webhook signals — those past signals were never recorded. Sub-minute timing and exact intra-minute fills are also approximated. Validate those cases in paper trading before going live.
Does it account for brokerage, slippage and taxes?
Yes — and the grade is scored on the net number. Set your cost profile (brokerage, slippage, STT, exchange, SEBI, GST, stamp duty) once, and every report shows gross and net side by side. The live cost lab lets you stress those assumptions after the fact without re-running.
Which markets and how far back can I test?
NSE and NFO go back to January 2020 at 1-minute resolution — six-plus years (index F&O from 2020; single-stock futures from 2021). MCX commodities cover 2020, 2021, 2023 and 2024 (~4 years; 2022 backfilling); BSE Sensex/Bankex from 2025 (~1.5 years); and Delta India crypto offers roughly five years of 1-minute history. Cash equities and single-stock F&O (EOD, corporate-action adjusted) are on the roadmap, targeting 2026.
How much does it cost?
₹20 per credit. One credit backtests six months of history for one underlying, so a 3-year single-underlying run is 6 credits (₹120). Buy credits from the Backtest page; failed runs are refunded; detailed reports stay live for 3 days before archiving to a summary.
Put it to the test

Find your edge before the market finds your account.

A strategy you built this morning can be graded against six years of history by lunch.

Risk disclosure. Backtested and simulated results are hypothetical, are generated with the benefit of hindsight, do not represent actual trading, and are not indicative of future results. Any figures on this page — including the sample report and the cost-lab numbers — are illustrative examples of the report format, not a forecast, recommendation, or promise of returns. Trading in securities and derivatives carries a substantial risk of loss and is not suitable for every investor. Historical-data coverage and market availability are being expanded and may change.