If you sell NIFTY or SENSEX options for a living, or you are trying to, you have probably typed "Tradetron vs AlgoTest" into Google late at night. A week later you typed "QuantMan review". All three names come up constantly in Indian trading Telegram groups. They are also three different kinds of tool, so a price-and-logo comparison misses the real question: can this platform test and run the multi-leg, expiry-day trades you actually take, with numbers you can trust?
I'm Rajeev Gupta, founder of EliteAlgo. We run our own intraday expiry-day option-selling engine, so I read these platforms as someone who has to live with a bad fill. I did not run live money on all three for this page. What I did was read each vendor's own pricing page, plans, broker list and help documents on 8 November 2026, read the community threads where users complain, and write down what the three sides say about each other. Every price below is a list price, not a sale price, and where I could not confirm something I say so.
Quick Answer: Which Should You Pick?
If you read only one section, read this one.
- Tradetron if you want the widest broker list, a strategy marketplace, and a free way to run a strategy on live prices without sending orders. Plans run from ₹300 a month (Starter, 1 live bot) to ₹9,000 a month (Creator+, 50 live bots) when billed monthly. You pay for the number of live bots, not for backtests.
- AlgoTest if options backtesting is the main job and you want to pay only for what you use. It runs on credits. One live strategy costs 100 credits for 28 days, and a credit is ₹1 at the smallest pack. It is the cheapest of the three for one to five live strategies.
- QuantMan if you want a visual, no-code builder with a set monthly plan. Monthly billing is ₹1,300 for Basic and ₹3,300 for Premium. Two limits to know first: it does not support MCX, and your plan is tied to one broker account.
- None of the three is built only for 0DTE, multi-leg, expiry-day selling. They are broad retail platforms that option sellers have adapted. How each one fills the exit on your stop-loss is the part to test yourself, and I show how further down.
This page compares these three platforms head to head. If you already know you want to leave one of them, our list of AlgoTest alternatives covers the wider field, and I have not repeated it here.
How I Judge a Platform as an Option Seller
Search "Tradetron vs AlgoTest" and most pages count brokers and mention a mobile app. Fine, but those details don't decide whether your short strangle survives. Three things do:
- Does the backtest treat your stop-loss honestly? Most platforms test on one-minute candles. Whether a stop is "hit" depends on the candle's high and low, and the fill you get inside that candle is a guess.
- Does it understand margin across all legs, so a profitable-looking test does not quietly assume unlimited capital?
- Can it send the order fast and reliably on expiry day, when a few seconds of delay on a near-the-money strike can change the day?
At a Glance: Tradetron vs AlgoTest vs QuantMan
Checked against each vendor's own site on 8 November 2026. Vendor numbers are the vendor's own claims.
| Tradetron | AlgoTest | QuantMan | |
|---|---|---|---|
| What it is | No-code builder, public marketplace, and a hosted execution engine that runs through your own broker | Options backtester with paper trading, live execution, a strategy builder and a simulator | No-code strategy builder with backtesting and live execution, plan-based |
| How you pay | Monthly, quarterly or yearly plan, set by the number of live bots | Prepaid credits, spent per live strategy per 28 days; backtests are free, per-use or unlimited by time | Monthly, quarterly or yearly plan with a fixed number of live and backtest credits |
| Cheapest way to go live | ₹300 a month (Starter, 1 live bot), billed monthly | 100 credits for 28 days per strategy; smallest pack is 500 credits for ₹499 | ₹1,300 a month (Basic, 4 live credits), billed monthly |
| Free way to try | Free plan: unlimited strategies and Live Offline, 1 bot, no orders sent | 25 free backtests a week | 7-day Pro trial; the site also lists 100 backtests and 1 live as a free start |
| Indian brokers | 35 Indian brokers on its broker page, plus crypto exchanges | Over 40 broker pages in its docs; AlgoTest says 50+ | 40+ on its homepage; its own FAQ says 27. Confirm in the login dropdown |
| Backtest history | Index options from January 2020; windows up to 5 years | Up to 7.5 years on its backtest page | "6+ years" on the homepage; "5+ years" in the FAQ |
| Slippage in the test | You choose best, mid or worst price of the candle, plus a percentage (0.05% by default) | Stop-loss checked against each one-minute candle's high and low; live fills differ (see below) | Results shown with no slippage; its FAQ suggests you allow 0.5% on selling and 1% on buying |
| Strategy marketplace | Yes, core feature | RA Algos from research analysts | A marketplace link on the site; I did not review it |
| Known limit | Plan is capped by live bots, so many small strategies get expensive | Live plans run in 28-day cycles; a fixed-IP hosted machine is a separate cost | No MCX; no multi-broker login; daily broker login needed |
What Each Platform Costs at List Price
This is the part most comparison pages get wrong, usually because they copy an old number. An AlgoTest pricing article says Tradetron "starts around ₹1,000 to ₹1,500 a month". Tradetron's own pricing page today starts at ₹300 a month. Another AlgoTest comparison puts QuantMan at ₹1,300 a month, and that one does match QuantMan's monthly list price. So treat any third-party price, including mine in a year, as a pointer, and confirm on the vendor's page.
Tradetron plans (list price, billed monthly)
From Tradetron's pricing page. All plans include unlimited strategies and Live Offline. The plan changes only how many live bots you can run and whether you can list on the marketplace.
| Plan | Monthly | Quarterly | Yearly | Live bots | Marketplace listings |
|---|---|---|---|---|---|
| Free | ₹0 | ₹0 | ₹0 | 1 (Live Offline only) | None |
| Starter | ₹300 | ₹850 | ₹3,000 | 1 | None |
| Starter+ | ₹850 | ₹2,400 | ₹8,500 | 3 | None |
| Retail | ₹1,200 | ₹3,400 | ₹12,000 | 5 | None |
| Retail+ | ₹2,500 | ₹7,000 | ₹25,000 | 12 | None |
| Creator | ₹5,000 | ₹14,000 | ₹50,000 | 25 | 5 |
| Creator+ | ₹9,000 | ₹25,200 | ₹90,000 | 50 | 10 |
The page also says two brokers, INDmoney and Delta Exchange, offer free live auto-execution on Tradetron with no plan needed. Delta is a crypto exchange. The page does not state GST either way, so check the checkout screen for the final bill.
AlgoTest pricing (credits)
From AlgoTest's pricing page. You buy credits first, and credits do not expire. Prices exclude 18% GST.
| Credit pack | Price | Credits you get | Effective cost per credit |
|---|---|---|---|
| Starter | ₹499 | 500 | ₹1.00 |
| Explorer | ₹999 | 1,100 | ₹0.91 |
| Pro | ₹2,499 | 3,000 | ₹0.83 |
| Advanced | ₹5,999 | 7,500 | ₹0.80 |
| Ultimate | ₹14,999 | 20,000 | ₹0.75 |
What you spend credits on:
- Live execution: 100 credits per strategy for 28 days. The page quotes this as ₹4 a day or less.
- Forward test (paper trade): 50 credits per strategy for 28 days.
- Backtests: unlimited backtests for 7, 30, 90 or 180 days cost 599, 1,499, 3,499 and 5,999. Or pay 1 credit per backtest with no time limit. The page shows these with a rupee sign, and at the smallest pack a credit is ₹1, so the numbers line up. Our AlgoTest and Zerodha guide also lists the 25 free weekly backtests and the extra-backtest pack.
One thing AlgoTest's own pages do not agree on is pack prices in different places, so look at the Pricing button inside your account before you pay.
QuantMan plans (list price)
From QuantMan's plans page, all excluding GST. The page defaults to the yearly view, which shows the lowest per-month numbers, so make sure you are looking at the cycle you will actually pay.
| Plan | Monthly | Quarterly (per month) | Yearly (per month) | Backtest credits | Live credits |
|---|---|---|---|---|---|
| Basic | ₹1,300 | ₹1,234 | ₹1,084 | 250 | 4 |
| Premium | ₹3,300 | ₹3,000 | ₹2,417 | 1,000 | 10 |
| Pro | Not shown on the monthly view | ₹5,434 | ₹5,417 | 5,000 | 25 |
QuantMan's FAQ says a "live credit" is one live strategy, so Basic lets you run 4 live strategies and Premium 10. The Pro plan is labelled "Exclusive for 1000 users only". There are also add-ons: 1 extra live credit at ₹250 a month (the page also shows ₹300 struck beside it) and 100 extra backtest credits at ₹200.
What a small book actually costs
This is my arithmetic from the list prices above, before GST, for live strategies only. It leaves out backtests, the fixed IP some brokers now require, and your broker's own charges.
| Your book | Tradetron (monthly plan) | AlgoTest (credits) | QuantMan (monthly plan) |
|---|---|---|---|
| 1 live strategy | ₹300 (Starter) | About ₹100 per 28 days | ₹1,300 (Basic) |
| 3 live strategies | ₹850 (Starter+) | About ₹300 per 28 days | ₹1,300 (Basic) |
| 5 live strategies | ₹1,200 (Retail) | About ₹500 per 28 days | ₹3,300 (Premium) |
| 10 live strategies | ₹2,500 (Retail+, 12 bots) | About ₹900 to ₹1,000 per 28 days | ₹3,300 (Premium) |
Three honest notes. AlgoTest's pay-per-strategy credit model is cheapest when you run few, separate strategies. QuantMan's fixed plan gets better value the more of its slots you actually fill. And on any of them, platform cost is small next to slippage, so don't let ₹500 a month decide a choice that slippage will outweigh.
Tradetron: Strengths and Where It Falls Short for Option Sellers
Tradetron's idea is a no-code builder plus a marketplace where you can subscribe to strategies other people built, then run them in your own broker account. For an option seller, the appeal is clear. You can build a multi-leg options strategy, or pick one, without writing Python.
Where it's strong: breadth, and a free way in. It lists 35 Indian brokers, covers equity, F&O, commodities and crypto, and offers Live Offline. That mode runs your strategy on live prices and records each trade without sending an order, and the free plan includes it. I like that for a first month, because you see how your rules behave in real time before any rupee is exposed. Its backtester lets you choose the best, mid or worst price of each minute candle and then adds slippage on top, 0.05% by default. If a strategy only works at the best price, you will see that.
Where it's thin for option sellers: the plan is capped by live bots. If you run several small strategies, such as separate NIFTY and SENSEX legs, you climb the plan ladder fast. Its Starter+ at ₹850 gives 3 bots. The marketplace is a second risk. When you subscribe to someone's strategy, you trust the platform's execution and a stranger's strategy design and track record. See the section on marketplaces below. Third-party reviews of Tradetron are also dated. One 2023 review quotes a ₹1,000 to ₹15,000 monthly range that no longer matches the current ₹300 to ₹9,000.
AlgoTest: Strengths and Where It Falls Short for Option Sellers
AlgoTest is the most options-native of the three. Its backtester covers up to 7.5 years of data, and it has a strategy builder, a simulator, paper trading and live execution. If you plan to pair it with Zerodha, read our AlgoTest and Zerodha guide first, because it covers the Kite Connect fee, the static IP rule and the daily login.
Where it's strong: price per live strategy, the free weekly backtests, and a community forum where the team replies to complaints. That forum is also where I learned the most, as the next paragraph shows.
What the forum tells you about backtests. Two threads on AlgoTest's own community forum are worth reading before you trust any number. In one, a trader compared a week of live trades to the backtest and wrote that "every result in back test is different from the live execution". In another, a FINNIFTY trade made a large loss live while the backtest of the same strike and entry time showed a small profit. The team's reply was plain: the backtester uses the high and low of each one-minute candle to decide whether a stop-loss was hit, and assumes the fill at the stop level. Live trading uses the last traded price, so slippage and broker delay change the result. That is an honest answer, and it applies to most platforms in this price band. It also means you should add your own slippage to any backtest, on any of the three.
Where to be careful: AlgoTest sells credits per strategy per 28-day cycle, so budget by cycle, not by calendar month. If your broker needs a fixed IP, AlgoTest's hosted machine is a separate cost that I could not find a published price for. Its docs list over 40 broker pages, but Zerodha's page is no longer in that index, which is why I point you to the guide above rather than assuming a setup that has changed.
QuantMan: Strengths and Where It Falls Short for Option Sellers
QuantMan leans into a visual, indicator-and-leg workflow. Its site lists over 80 indicators, TradingView alert integration, options baskets on the top plan, and a 7-day Pro trial. Its marketing says 150K+ users, which is its own claim and which I could not verify.
Where it's strong: simple monthly plans, and unusually frank slippage guidance in its FAQ. It states that backtest results are shown without slippage and suggests allowing 1% on buying strategies and 0.5% on selling strategies, then checking the strategy is still tradable. Option sellers should take that seriously. If a strategy only works at zero slippage, it does not work.
The limits it documents itself:
- MCX is not supported. Its FAQ says so.
- There is no multi-broker login. A plan is tied to one broker account. To move it, you ask support to swap it.
- You must log in with your broker every morning before market for orders to go through.
- It lists "27 brokers" in the FAQ and "40+" on the homepage. One of those is stale. Open the broker dropdown on the login screen before you pay.
Support: a TradingQnA thread from 2022 asked whether these platforms are safe. In May 2025 one user posted that they preferred AlgoTest's Telegram support and that QuantMan's support kept redirecting between email and WhatsApp. That is a single user's complaint and not a verdict, but it is a good test to run yourself. Send a real question to each vendor's support before you pay and see how long the answer takes.
What the Vendors Say About Each Other (and Why I Discount It)
The pages that rank for these searches are mostly written by the platforms. AlgoTest's three-way comparison ends by recommending AlgoTest. QuantMan's own comparison with Tradetron calls Tradetron's backtesting "basic" and concludes QuantMan is "the clear winner". Neither shows its test method. Their claims also conflict. AlgoTest's page says QuantMan is the easier tool for beginners, while QuantMan's page says Tradetron needs some coding for advanced features, and Tradetron's own features page describes a no-code drag-and-drop builder.
What I trust in these pages are the dated, checkable facts: plan prices, credit rules, listed brokers. What I discount is any "best", "advanced" or "basic" label. A better way to judge is to put one of your own trades through each tool, which the checklist below walks through.
Why Backtest and Live Results Differ on All Three
All three test on one-minute candles. That is a reasonable simulation. It is not a record of real fills. Three consequences matter for a short strangle or straddle on expiry day:
- Stop-loss fills. A backtest assumes you were filled at your stop. Live, the price may gap through it. On a day with a fast move the live loss is bigger than the test shows.
- Entry fills. The test takes a price from a candle. Live, you cross a bid-ask spread that can be wide on far strikes.
- Costs. Brokerage, STT and exchange charges are not what the platform's headline P&L is built on unless you turn them on. Our guide to what a backtest can and can't prove goes deeper, and how to backtest an option selling strategy shows a method that is not tied to any platform.
Only Tradetron lets you set the candle price you test at (best, mid or worst), which makes it the easiest of the three to stress. On the other two, add your own slippage by hand.
Evaluation Checklist: Test All Three Yourself Before Deciding
Run this with your own strategy before you commit capital:
- Take one real multi-leg trade from your own history (entry time, strikes, exit time). See whether the backtest reproduces a P&L close to what you got after slippage.
- Ask support, in writing, how stop-loss fills are modelled. If they can't say, treat the numbers with caution.
- Test one high-volatility day: a Budget session, a global risk-off day, or a VIX above 20. Option-selling edge and drawdown both concentrate there.
- Run it free first. Tradetron's free plan, AlgoTest's 25 free weekly backtests and QuantMan's 7-day trial all let you do this. Our guide to paper trading an algo explains what forward testing proves and what it hides.
- Time a small live order from trigger to confirmed fill on a normal session. Do not trust advertised speed.
- Re-check prices on the vendor's page on the day you buy. Pricing in this article is dated 8 November 2026.
How Strategy Marketplaces Change the Risk
Tradetron's marketplace deserves its own look, because it changes the decision. When you build your own strategy, the platform tests and runs logic you understand and can audit. When you subscribe to someone else's, you are making two trust decisions behind one button: the platform's execution and a third party's design and track record.
For option sellers, this matters more than for directional trades. A multi-leg selling strategy can look steady for months while it collects small premium, then give back a lot in one adverse expiry. Before subscribing, ask whether the track record covers at least one high-volatility stretch. A record that only spans calm markets is unproven for tail risk. It has not been unlucky, it has just not been tested.
Expiry-Day Execution: The Detail Marketing Pages Skip
Every platform here says it executes fast. None publishes a latency figure you can check from outside. The window that decides an expiry-day strategy is the last 45 to 60 minutes before weekly expiry, when gamma on near-the-money strikes rises sharply and small moves in the index make large moves in premium. A few seconds of delay in that window can turn a strategy that passed a test with instant fills into a loser, with no flaw in the logic.
The fix is dull. Place a small real order on each platform, time it from trigger to confirmed fill, and do it on a lively day if you can. Remember that your broker's API, daily token login and, where applicable, a registered static IP sit between the platform and the exchange. Our broker API guide and Zerodha vs Fyers vs Angel One API comparison cover that layer.
Which Trader Each One Suits
| If you are... | Lean toward | Why |
|---|---|---|
| Running 1 to 5 separate option-selling strategies and want the lowest platform cost | AlgoTest | Credit pricing per strategy is the cheapest at this size |
| Wanting to see how rules behave live with no orders sent, at zero cost | Tradetron | Free Live Offline plan |
| Trading across MCX, equities and crypto, or many brokers | Tradetron | Widest listed coverage; QuantMan has no MCX |
| Wanting subscribed marketplace strategies | Tradetron | It is the core of the product. Vet the track record yourself |
| Preferring a fixed monthly bill and a visual builder, trading mostly index options | QuantMan | Flat plan with clear credit counts |
| Wanting TradingView alerts to trigger orders | QuantMan or Tradetron | Both list TradingView or Pine Script support on their sites |
| Wanting a payoff diagram and a strategy simulator before placing a trade | AlgoTest | It has a built-in simulator and strategy builder |
The Real Gap: Purpose-Built Expiry-Day Testing
Here is the structural point behind this whole page. These three tools serve retail algo traders broadly. None was designed from day one solely around intraday, 0 to 1 DTE, multi-leg NIFTY and SENSEX selling with fills modelled at the bid and ask and margin tracked per leg. That is not a flaw, because breadth is useful if you trade several styles. But if your whole book is expiry-day selling, ask each vendor how a stop-loss fills in the test, then compare. We hold our own engine to the same questions. For broader options, see best options backtesting software in India, AlgoTest vs Quantiply and Stoxxo vs Tradetron. If you are weighing Zerodha's own tool, see Streak alternatives.
Frequently Asked Questions
Which is cheapest: Tradetron, AlgoTest or QuantMan?
It depends on how many live strategies you run. On list prices dated 8 November 2026, AlgoTest costs about 100 credits (roughly ₹100 at the smallest pack) per live strategy per 28 days. Tradetron starts at ₹300 a month for one live bot and ₹850 for three. QuantMan starts at ₹1,300 a month on monthly billing for four live credits. Prices exclude GST where the vendor says so, and you should confirm them on each vendor's pricing page before paying.
Is there a free plan on any of them?
Tradetron has a free plan with unlimited strategies and Live Offline, which runs a strategy on live prices without sending orders. AlgoTest's help pages list 25 free backtests a week. QuantMan advertises a 7-day Pro trial. None of these lets you skip your own testing, so run a real strategy through whichever you try.
Does AlgoTest work with Zerodha for option selling?
AlgoTest is a separate company that connects to a Zerodha account through Zerodha's Kite Connect API. It is not a Zerodha product. Zerodha's rules on API orders, including a registered static IP, apply. Our AlgoTest and Zerodha guide has the current steps and costs, and you should confirm the integration status with AlgoTest before connecting live capital.
Is Tradetron good for option selling specifically, or is it more general-purpose?
Tradetron is general-purpose and multi-asset. It runs multi-leg options strategies and has an options wizard, but it is not built only around options backtesting the way AlgoTest is. If you use its marketplace, the quality depends on each strategy's author, so check the track record yourself.
What makes QuantMan different from Tradetron and AlgoTest?
QuantMan is a visual, plan-based builder with fixed backtest and live credits. Its own FAQ lists some limits: no MCX, no multi-broker login, and a daily broker login before market. It also suggests allowing 0.5% slippage on selling strategies and 1% on buying strategies when you read a backtest.
Which platform has the best backtesting for multi-leg option selling?
No independent test settles this. It depends on your strategy, how each platform fills a stop-loss inside a one-minute candle, and how you add slippage and costs. The checklist in this article, run on your own trade, is the only reliable answer. Tradetron is the only one of the three that lets you pick the candle price (best, mid or worst) for the test.
Do I need to log in every day, and do I need a static IP?
Most broker APIs now need a fresh login each trading day, and QuantMan's FAQ says so for its platform. Some brokers also accept API orders only from a registered static IP. Zerodha has done this since 1 April 2026. Check your broker's rule and ask the platform whether it provides a fixed IP and what it costs.
Do I need a dedicated options backtesting engine instead of these three platforms?
If your whole book is intraday, 0 to 1 DTE, multi-leg NIFTY or SENSEX selling, it is worth testing a tool built around that case, with bid-ask fills and per-leg margin, next to these three, and comparing the results on the same trades. See our list of AlgoTest alternatives for the wider field.
Are these platforms SEBI-registered advisers?
No. They are software for building, testing and sending orders. They are not investment advisers, and none of this page is investment advice. AlgoTest also hosts strategies from research analysts under a separate service. If you buy advice from anyone, check their registration on SEBI's own site first.
Written by Rajeev Gupta, founder of EliteAlgo, an algo trading company operating in India since 2006 with a focus on intraday expiry-day option-selling strategy research and execution. Prices and plan rules above were read from each vendor's own pages on 8 November 2026 and can change. This comparison is analytical and educational and does not constitute investment advice. See our strategies overview and SEBI algo trading regulations guide for related reading.
