Best Paid Algo Trading Software in India 2026 — What Your Money Buys

Updated 8 November 2026. This page is about paid algo trading software in India — what a subscription actually buys, where it is worth the money, and where it is not. If your budget is zero, you are on the wrong page and we would rather tell you than keep you here: our separate list of free algo trading software in India states every free tier's exact cap, and it is genuinely enough to backtest, paper trade and go live on one strategy without paying anyone.

We split these two pages deliberately in October 2026. The old version of this page tried to cover free and paid platforms together, and the result was a list that recommended Streak at the top on the grounds that it costs nothing, which is correct, and also useless to a reader who has already decided to pay for something better. So: free tiers live on the other page, and this one answers the paid question properly.

Three things have changed materially in the paid Indian market, and they matter more than any feature grid:

• AlgoTest stopped selling monthly subscriptions. This is the single biggest pricing change of the year and most comparison pages — including an earlier version of this one — still describe it wrongly. AlgoTest now sells prepaid credit packs ranging from Rs 499 for 500 credits up to Rs 14,999 for 20,000. Credits do not expire. A live strategy burns 100 credits per 28-day cycle and a forward-tested one burns 50, so the Rs 499 pack is roughly five strategy-months of live trading rather than "one month of software". If you see AlgoTest quoted as a flat monthly subscription anywhere in 2026 — Rs 1,499 a month was the old figure — that plan has not existed for some time.
• The paid market stretched at both ends. uTrade Algos now starts at Rs 99 a month and Tradetron at Rs 3,000 a year for one live bot. At the other end, AlgoSmart now sells Rs 12,000 to Rs 50,000 a month plans gated by your capital size rather than by features — a pricing model that did not exist in this market two years ago. Between them sit Bull8 at Rs 1,250, Algomojo at Rs 999, INDfolio AI at Rs 999, and AlgoCrab charging per trade instead of per month.
• SEBI now decides part of your shortlist. The February 2025 retail algo framework ends open broker APIs and requires whitelisted static IPs and exchange-assigned Algo IDs. Platform choice is now partly a compliance question, and the static IP is a cost no subscription tier absorbs for you. See the SEBI section and our fuller write-up on SEBI's algo trading regulations.

New to the concept? Start with our complete guide to algo trading in India. Comparing service providers rather than tools? That is a different question again — see our comparison of algo trading firms in India, because a firm sells you an outcome and a platform sells you a tool, and conflating the two is how people end up paying twice. If you sell options specifically, our page on the best algo trading platform for option sellers is written for that case, and if Streak is where you are starting, see Zerodha Streak alternatives. And if your specific question is what to use instead of AlgoTest, we have a dedicated page on AlgoTest alternatives in India.

How we evaluated these platforms

We are a proprietary options-selling desk, not a review site, and that shapes what we can and cannot tell you honestly. Here is the method, so you can discount it where it is thin.

What we actually run. EliteAlgo's own NIFTY and SENSEX expiry-day option-selling systems run on in-house tooling with a Stoxxo execution bridge into a broker. That is the setup we have the most hours on by a wide margin, and it is why the execution-quality section below is more specific than the rest of the page. We have no commercial relationship with Stoxxo or any other platform here, and no affiliate links anywhere on this page.

What we have tested first-hand. AlgoTest, Streak, Tradetron, Sensibull and TradingView, each on a live or funded account at some point across 2024-2026, running real option structures rather than demo equity strategies. For these five we are describing behaviour we have seen, including the parts the vendor does not advertise — which backtest assumptions are optimistic, which caps bind first, where the interface fights you.

What we have only verified, not used. Dhan's APIs, Quantiply, AlgoBulls, ODIN/NEST, and every platform added since October 2026 — Bull8, AlgoSmart, INDfolio AI, AlgoCrab, mastertrust, uTrade Algos, QuantMan, QuantPower and Algomojo. For these we have read the vendor's own current pricing and product documentation and nothing more. We say so in each entry rather than writing them up as though we had traded on them. A comparison page that claims hands-on experience of fifteen platforms is lying to you; nobody has that. Several of the platforms listed here also publish their own "best algo software" pages that put themselves first. We read those as marketing and say so where it matters.

What we deliberately do not score. Returns. No platform on this page produces returns — your rule set does, and the platform either executes it faithfully or does not. Any list ranking algo software by "profitability" is ranking the strategies people happened to run on it. We rank on execution quality, backtest honesty, cost structure and SEBI compliance burden, which are the four things the software itself controls.

How prices were checked. Every rupee figure below was read off the vendor's own pricing page or documentation, not from another comparison article. AlgoTest, Tradetron, uTrade Algos, Algomojo, QuantPower, INDfolio AI, Bull8 and AlgoSmart were re-read on 8 November 2026. The rest keep their 14 October 2026 reading and are marked as such. Where a vendor's plan page would not load its prices for us (QuantMan), we say so instead of quoting a rival's number as fact. Where a vendor does not publish pricing — Stoxxo, Quantiply, ODIN, NEST — we say "quoted privately" rather than repeating a number from a third-party blog. Each platform's own pricing page is linked so you can check us.

What paid algo trading software actually does — and what it does not

The mechanics are short. You write the rule: which strike, what time, what stop, what size. The platform watches the data feed. When the condition is true it sends the order to your broker through the broker's API, attaches the stop, and exits at the time you set. Nothing in that chain thinks. That is the whole point, and also the whole risk.

Algo trading software converts a written rule set into orders: it watches the conditions you specified, sizes the position, places entries and exits, and applies the stop without hesitating. That removes the two failure modes that cost discretionary traders the most — late exits and fat fingers — and it makes results measurable, because the same rules ran every day.

What it does not do is supply an edge. A platform will automate a losing rule set with perfect discipline, and it will do so slightly faster if you pay more. So before any of the prices below are worth considering, be clear about which of these three constraints you are actually buying your way out of:

• Deployment slots. Free tiers typically allow one to five live strategies. If you are running eight, you need a paid plan — this is the most common and most legitimate reason to pay.
• Backtest volume. A free allowance of 25 backtests a week is plenty to settle one question and nowhere near enough to sweep a parameter grid. If you are optimising rather than testing, you need volume.
• Execution quality. If a working strategy is losing more to slippage than the subscription costs, an execution bridge pays for itself arithmetically. This is the one case where you can calculate the answer instead of guessing it.

If none of those three describes your bottleneck, paying will not change your results, and the honest recommendation is to go back to the free tiers and keep your money. Our page on the disadvantages of algo trading is the counterweight to this one and is worth reading before you subscribe to anything.

Comparison table — paid algo trading software in India, November 2026

Prices below are each vendor's own published figures, excluding GST unless noted. Rows for AlgoTest, Tradetron, uTrade Algos, Algomojo, QuantPower, INDfolio AI, Bull8 and AlgoSmart were re-read on 8 November 2026. The others carry their 14 October 2026 reading. Read the pricing-model column carefully: a monthly subscription, a prepaid credit pack and a per-trade fee are three genuinely different things, and comparing their headline numbers side by side will mislead you.

What 1, 2, 4 and 10 live strategies actually cost

Headline prices mislead because the plans count different things. AlgoTest charges credits per strategy. Tradetron and uTrade Algos charge by how many bots can be live at once. Algomojo charges one flat fee. So here is the same question asked of each: what is the cheapest plan that covers N live strategies, in rupees per month? Prices are list prices, read on 8 November 2026, before GST.

Two things stand out. First, the cheapest answer changes with your count. At one strategy a Rs 100 AlgoTest cycle or a Rs 250-a-month (billed yearly) Tradetron Starter is hard to beat. At ten, a flat fee or a slot-based plan wins. Second, none of these numbers is the real bill.

Your broker's charges are usually bigger than the software. Take a typical flat Rs 20 per executed order. A short straddle opened and closed every day is four orders, so Rs 80 a day. A four-leg condor is eight orders in and out, Rs 160. Re-entries after a stop add more. STT, exchange charges, SEBI fees, stamp duty and GST sit on top and are the same on every platform. Your own rate will differ, so use your contract note, not our Rs 20.

That Rs 2,960 is more than any plan figure in the cost table above. It is why we tell people to cost the whole stack before they argue over Rs 250 against Rs 499. It is also why the backtest has to carry charges, as we explain in how to backtest an option-selling strategy.

SEBI's retail algo rules are now in force, and they decide who can serve you

SEBI issued Safer participation of retail investors in Algorithmic trading on 4 February 2025 and gave brokers a glide path in a circular of 30 September 2025. That is finished. Since 1 April 2026 the framework applies to every stock broker. There is no transition window left to plan around. These are the parts that change a platform decision:

• Open APIs are closed. A broker may allow access only through a vendor-and-client-specific API key together with a static IP that it has whitelisted. The provider and the client must both be traceable.
• Static IP on API routes. One or two fixed public IPs must be registered with your broker. Rotating home-broadband IPs are not accepted, so budget roughly Rs 300-600 a month for a static-IP service if you run your own setup.
• Algo IDs. Every algo order carries an exchange-issued identifier, so each order traces back to its source.
• Empanelled providers. A third-party platform that offers algos to retail clients has to be empanelled with the exchange and work through your broker. Ask a platform which brokers it is empanelled with before you connect an account.
• The 10-orders-a-second line. Code you write and run yourself below the threshold of 10 orders a second per exchange does not need to be registered, but the orders are still tagged. Above it, the algo must be registered through your broker.
• White box and black box. If you can see and reproduce the rules, it is a white box. If you cannot, the provider has to be registered as a Research Analyst. So before subscribing to a strategy whose logic is hidden, check that registration.

Two practical results. If you do not want to run a static IP yourself, prefer a platform that executes inside the broker's or the provider's own empanelled stack, or a tool that only sends alerts. Streak on Zerodha is an alerts-only example, since you place the order yourself. Backtesting and scanners are untouched by the framework. And if you go the API route, your broker's compliance readiness now matters as much as its brokerage. The fuller write-up, including how to check a provider, is at SEBI algo trading regulations. None of this is investment advice. It is a description of how the software is allowed to reach your account.

The platforms, with what each is actually for

Ordered by how we would evaluate them for Indian F&O, not by price. Each entry says whether we have traded on it or only verified it, per the methodology above.

1. Streak (Zerodha) — rule this in before you pay for anything

Traded on it. Streak opens this page despite costing nothing, because on a page about paid software the first useful question is whether you need to pay at all. A condition-builder platform where you assemble entry and exit rules from indicators, with no code at any point. It is free for Zerodha users and the old paid tiers are gone. It builds multi-leg option strategies, but it only sends you an alert when the conditions match. Automatic order placement is not supported yet (Streak help centre, read 8 November 2026).

If you hold a Zerodha account, you already have a free no-code rule builder and alert engine, which suits a simple rule set you are happy to confirm by hand. Option-contract backtests are not enabled and there is no paper deployment. The details are on our free algo trading software page, which is the right page for that comparison.

When paying beats it: when you want orders placed automatically, when you need option backtests, or when your logic is genuinely path-dependent and a condition builder cannot express it. Those are real limits, and they are the point at which the rest of this page becomes relevant to you.

Cons: Zerodha account required; condition-builder logic cannot express genuinely path-dependent rules; alerts only, with no automatic orders and no option-contract backtests, which is what binds option sellers first.

2. AlgoTest — the serious options backtester, and the pricing model everyone gets wrong

Built for multi-leg option structures with per-leg stops and adjustments, which is what most Indian F&O traders actually run. Of the five platforms we have genuinely traded on, this is the one whose option-leg modelling we trust most: it does not quietly fill you at the mid, and it does not pretend an illiquid far strike was available at a clean price.

The pricing is the part to get right, because almost every comparison page in India still has it wrong. AlgoTest does not sell a monthly subscription. It sells prepaid credit packs, per its own published pricing documentation as at 14 October 2026:

• Starter — Rs 499 for 500 credits
• Explorer — Rs 999 for 1,100 credits
• Pro — Rs 2,499 for 3,000 credits
• Advanced — Rs 5,999 for 7,500 credits
• Ultimate — Rs 14,999 for 20,000 credits

AlgoTest's buy-plan page (re-read 8 November 2026) also states the cost per credit: Rs 1.00 on Starter, Rs 0.91 on Explorer, Rs 0.83 on Pro, Rs 0.80 on Advanced and Rs 0.75 on Ultimate. A live strategy therefore costs Rs 100 per cycle on the smallest pack and Rs 75 on the largest. If you will run several strategies for months, the bigger pack is a discount, and since credits never expire it is not a gamble.

Credits do not expire. What they buy: one live strategy costs 100 credits per 28-day cycle, one forward-tested strategy costs 50 credits per cycle, and individual backtests cost 1 credit each. Strategies added part-way through a cycle are charged pro-rata. AlgoTest also sells unlimited-backtesting windows for a fixed credit cost, but its own documentation pages quote two different figures for those, so check the current credit cost on AlgoTest's own buy-plan page rather than trusting a number from any comparison article, this one included.

A note on our own sourcing: AlgoTest's two pricing pages disagree with each other. One lists four credit packs and omits the Ultimate tier; the other lists all five. We have published only what both pages agree on and linked out for the rest. We mention this because it is exactly why pricing on comparison sites rots — a single source read once is not verification.

That changes the arithmetic completely. Rs 499 is not "one month of AlgoTest" — it is roughly five strategy-months of live trading, or 500 individual backtests, or one 7-day unlimited-backtesting sprint. For a trader running two live strategies continuously, the real cost is about 200 credits every 28 days, so the Rs 999 pack lasts around five cycles. If you are doing a one-off research push rather than running anything live, the unlimited 7-day option at 499 credits is far better value than buying backtests one at a time.

Pros: the most honest multi-leg options modelling we have used; credits never expire, so a pack bought for a research sprint is not wasted if you stop for three months; pro-rata charging means a mid-cycle strategy does not cost a full cycle; the free allowance of 25 backtests a week is permanent and sits outside the credit system entirely.

Cons: the credit model takes real effort to budget — you cannot answer "what will this cost me a month" without knowing your strategy count and backtest volume first; unused weekly free backtests do not carry over; parameter sweeps burn credits fast unless you buy an unlimited window; the interface assumes you already understand option structures. And be alert to the stale-pricing problem in both directions: if a comparison page quotes AlgoTest at a flat monthly figure, it has not checked since the model changed.

3. Tradetron — marketplace breadth, and a free plan that sends no orders

Traded on it. A no-code strategy builder plus a marketplace where you can subscribe to strategies others have built. It covers NSE, BSE and MCX (and crypto exchanges, which we ignore). Its pricing page changed shape since this page was first written, so here is what it says on 8 November 2026. Every plan, including Free, allows unlimited strategy templates and Live Offline, which runs every trade on live prices and sends no orders. What you pay for is how many bots can run live in your own broker account at once: If you are weighing it against a self-hosted execution tool, our Stoxxo vs Tradetron comparison covers that choice.

• Free — Rs 0, Live Offline only
• Starter — Rs 3,000 billed yearly (shown as Rs 250 a month), 1 live bot
• Starter+ — Rs 8,500 yearly (Rs 708 a month), 3 live bots
• Retail — Rs 12,000 yearly (Rs 1,000 a month), 5 live bots
• Retail+ — Rs 25,000 yearly (Rs 2,083 a month), 12 live bots
• Creator — Rs 50,000 yearly (Rs 4,167 a month), 25 live bots, and you can list 5 strategies on the marketplace
• Creator+ — Rs 90,000 yearly (Rs 7,500 a month), 50 live bots, 10 marketplace listings

Those are the yearly-billing prices, which Tradetron says save up to 16%; quarterly saves up to 6%. Monthly billing costs more, and its page toggle shows the exact figure. Marketplace strategies carry the creator's own monthly fee on top, so a subscribed strategy is a second bill. A few brokers offer free live execution on Tradetron with no plan at all. When we checked, those were INDmoney and Delta Exchange, neither of which an NSE index option seller will use.

Pros: the free plan is a real way to test a rule on live prices before spending anything; a large library of ready strategies; multi-exchange coverage including MCX; the plan ladder is easy to read because it is just a bot count.

Cons: one live bot on the entry plan; marketplace track records are self-reported on the seller's chosen window; the builder gets unwieldy on complex adjustment logic.

4. Dhan (DhanHQ) — free APIs, and the cleanest TradingView-to-live path

Verified, not traded on. Dhan's position is unusual: the trading APIs carry no monthly charge in a market where API access is normally a subscription, and the webhook order type is free too, so a TradingView alert can fire a live order without a paid bridge. REST plus websocket streaming, SDKs in Python, Java, Node.js and C#, and a published budget in the tens of thousands of requests a day. The Data API is the carve-out: free once you cross 25 trades in 30 days, otherwise Rs 499 plus taxes a month. Delivery is free and intraday is Rs 20 an order.

Pros: no platform fee to automate your own logic; TradingView webhook straight to a live order; proper SDKs and streaming rather than scraping.

Cons: you own the strategy, the risk layer and the reconnection logic; Data API costs Rs 499/month below the trade threshold; API routing puts the SEBI static-IP requirement on you.

5. Stoxxo (by Algobaba) — buy this when execution is the bottleneck

This is what our own desk runs. Stoxxo is an execution bridge rather than a strategy platform: it accepts signals from TradingView, Chartink, Excel, Python, Java, C#, Amibroker, MT4/MT5 or NinjaTrader and routes them to your broker, with sub-10ms execution claimed and a dedicated options module for multi-leg entries and exits. It supports manual, semi-automated and fully automated use, and several brokers — 5paisa and Bigul among them — list it as an integration partner. Pricing is quoted through partners rather than published.

Pros: the widest signal-source compatibility of anything on this list; purpose-built options execution module; the right tool if your strategy already works and slippage is eating it.

Cons: no published pricing, so you cannot compare it without a sales conversation; supplies no strategy or backtest of its own; a desktop-anchored workflow that needs an always-on machine.

6. Sensibull — analytics, which is where most options algos actually fail

Not an algo platform, and included deliberately: the most common cause of a failing options strategy is a misread chain, not a bad execution layer. The free tier covers the basic option chain, verified P&L, daily analysis, FII/DII data, positions, and the events calendar. Pro adds the custom strategy builder, advanced option chain, open-interest and IV charts, virtual trades, the options screener and basket orders, at Rs 800 a month or about Rs 480 a month annual — and free for Zerodha users since February 2024.

Pros: full Pro free for Zerodha users; best Indian options chain and IV/OI visualisation; basket orders execute through the linked broker.

Cons: no backtester and no deployment engine; the strategy builder and OI charts are deliberately paywalled; non-Zerodha users pay for what Zerodha users get bundled.

7. TradingView — research and backtesting, not Indian execution

Where most Indian retail strategies are designed. The free Basic plan includes the full Pine Script editor and strategy tester, so writing and backtesting a complete strategy costs nothing; what Basic limits is workspace — one chart per tab, two indicators per chart, one saved layout, one 30-symbol watchlist, and three price alerts that expire after 30 days. Paid tiers lift those caps.

Pros: Pine Script and the strategy tester on the free plan; the largest community script library anywhere; pairs directly with Dhan's free webhook orders for live execution.

Cons: no native Indian broker execution — you need a webhook-capable broker or a bridge; two indicators and three expiring alerts bind quickly; Pine Script backtests on intraday options data over-fit easily.

8. Quantiply — several automated strategies in parallel

A fully automated platform aimed at running multiple strategies simultaneously with strategy-level live monitoring and instant order updates. Free access is a 7-day trial — a trial, not a tier — and subscription pricing is quoted at signup rather than published, which is the main thing to know before you invest evaluation time.

Pros: genuine parallel multi-strategy running; per-strategy live monitoring rather than one blended P&L; reliable order updates.

Cons: 7 days is not long enough to evaluate an intraday strategy honestly; pricing not published; steep for a first platform.

9. AlgoBulls — marketplace plus hosted deployment

A strategy marketplace with hosted execution, where you can deploy a listed strategy or bring your own Python. Useful if you want someone else's infrastructure and are comfortable with per-strategy subscriptions; less useful if you want to own the logic end to end. Treat listed performance the way you would treat any marketplace equity curve — as the seller's chosen window.

Pros: hosted execution, so no always-on machine of your own; Python path for custom strategies; paper mode before committing.

Cons: per-strategy subscriptions add up; listed track records are self-selected; less transparent than backtesting the same idea yourself.

10. ODIN and NEST — the institutional layer you probably do not need

ODIN, from 63 Moons (formerly Financial Technologies), and NEST, from Omnesys, are white-label desktop terminals licensed to brokers and rebranded by hundreds of them, both with APIs used for algo routing. They are listed here because they dominate the broker-side infrastructure conversation, not because a retail trader should shop for them: they are sold to brokers and institutions on custom terms, not to individuals.

Pros: institutional-grade multi-asset, multi-exchange order management; APIs widely supported across Indian brokers; battle-tested at volume.

Cons: not retail products, and not retail-priced; dated desktop interfaces; you will be dealing with a broker's licence, not a signup page.

Five platforms added in October 2026

These five were live and actively marketed in India while this page did not mention them, which is a real gap rather than a stale one. We have not traded on any of them. What follows is their own published pricing and product documentation, read on 14 October 2026, with our read on where each one fits — clearly labelled as a read, not a test result. Each links to the vendor's own page so you can check the numbers yourself.

11. INDfolio AI — describe the strategy in English, and the most interesting of the five

Verified, not traded on. INDfolio AI takes a strategy described in plain English and turns it into an editable rule set — every generated rule stays visible and changeable rather than hiding behind the AI, which is the detail that makes it credible rather than a gimmick. From there it backtests on three years of NSE data with the Indian cost stack built in, runs a Monte Carlo stress test, paper trades, then deploys live through seven broker integrations: Zerodha, Fyers, Dhan, Angel One, Upstox, Alice Blue and Shoonya.

Pricing is Rs 999 a month for live deployment on one broker, or Rs 2,499 a month for all brokers and unlimited strategies, GST included, with no per-order fee and no profit share. There is also a genuinely free forever tier — AI strategy generation, the visual builder, backtesting on three years of NSE data, one paper-trading strategy and 25 free backtests, no card required — which is why it also appears on our free software page.

One thing worth naming plainly: INDfolio publishes its own "AlgoTest alternatives" comparison and competes directly for that search intent against our own AlgoTest alternatives page. We are telling you that rather than quietly leaving them off the list, because a comparison page that omits its competitors is not a comparison.

Where it looks strong: the Indian cost stack in the backtester is not standard — most platforms let you discover brokerage and STT after you go live; seven brokers at Rs 2,499 is cheaper than most per-broker alternatives; the free tier is real, not a trial.

What we cannot vouch for: how well the AI handles genuinely complex multi-leg option adjustments, and whether three years of NSE data is enough history for an expiry-day strategy. Both are the questions we would ask on a trial before paying, and we have not asked them.

12. AlgoCrab — per-trade pricing, which is unusual and sometimes much cheaper

Verified, not traded on. AlgoCrab is a multi-broker dashboard covering 30-plus Indian brokers including Zerodha, Angel One, Dhan, Fyers, Alice Blue, Upstox, Kotak Neo, Groww and HDFC Sky, with built-in strategies, a visual rule builder and Pine-style scripting for people who want to write logic.

Its pricing model is the reason it belongs on this page: registration is free with a small welcome credit, and usage is billed at roughly Rs 15 per entry trade, with exits carrying no platform fee. Nothing monthly. That inverts the usual arithmetic. A positional trader placing twenty entries a month pays about Rs 300 — competitive with anything here. An intraday trader placing twenty entries a day pays about Rs 6,000 a month, which is more than every platform on this page except AlgoSmart. Work out your own entry count before you treat "no subscription" as cheap.

Where it looks strong: broker coverage is the widest of anything we found; the pricing genuinely suits low-frequency strategies; no commitment to evaluate it.

What we cannot vouch for: execution quality across 30 brokers — supporting that many APIs well is hard, and we have not measured fill quality on any of them. Also, per-entry pricing on an option-selling strategy that re-enters after a stop can become expensive in exactly the conditions where you are already losing money.

13. Bull8 — no-code retail automation, no free tier

Verified, not traded on. Bull8 (Bull8 Algo, launched to retail in September 2025) is a no-code, rule-based automation platform aimed squarely at retail traders: a simple strategy builder, pre-built strategies, multi-strategy management and live monitoring. It positions itself directly against AlgoTest, Tradetron and Streak in its own published content.

Pricing is a straightforward monthly subscription: Rs 1,250 a month plus taxes, Rs 3,488 quarterly, Rs 6,600 half-yearly (a stated 20% saving) or Rs 12,300 a year. There is no free tier, which is the main practical thing to know — you cannot evaluate it without paying, unlike AlgoTest, INDfolio or Streak.

Where it looks strong: flat, published, easy-to-budget pricing with a real annual discount; pre-built strategies lower the barrier for someone who has never written a rule set.

What we cannot vouch for: everything that matters. With no free tier and no published backtest methodology, there is no way to assess fill assumptions or strategy quality without committing Rs 1,250. Treat the pre-built strategies the way you would treat any marketplace equity curve — as the vendor's chosen window, not a forecast.

14. mastertrust — free broker API, and the one Amibroker route here

Verified, not traded on. mastertrust is a broker rather than a software vendor, and it reaches this list through two routes. Its REST trading API carries no fee at all — 10 orders a second, with cover, bracket and AMO orders unrestricted — which puts it in the same small category as Dhan: a broker treating API access as a reason to open an account rather than as a product to sell. Demat account opening is free, with about Rs 300 a year maintenance.

Separately, Master Trader 3.0 is an Amibroker plugin bundled with market data at about Rs 1,000 a month. If you already work in Amibroker — and a meaningful number of Indian systematic traders still do — this is one of the few currently maintained routes from Amibroker to a live Indian broker.

Where it looks strong: a free API with a published rate limit is worth more than most Rs 1,000-a-month subscriptions; the Amibroker path is genuinely scarce.

What we cannot vouch for: API reliability under expiry-day load, which is the only condition that matters for the strategies we run. Also note the obvious lock-in — the free API is free because it requires a mastertrust demat account, so compare its brokerage against your current broker before treating the API as a saving.

15. AlgoSmart — a service priced by your capital, not a tool priced by features

Verified, not traded on. AlgoSmart (operated by BluePeak Ventures) sells something structurally different from everything else on this page, and its pricing says so: Prime at Rs 12,000 a month for Rs 1-5 lakh capital, Premier at Rs 25,000 a month for Rs 2-8 lakh, and Pinnacle at Rs 50,000 a month for Rs 5-10 lakh and above. The tiers are gated by your account size, not by feature count — higher tiers add expert strategy setup, custom strategies and white-glove support. It integrates with 20-plus brokers and its founder states a prior SEBI Registered Investment Adviser and Research Analyst background with 19-plus years of experience.

Read this before you compare the number to anything else on the page. Capital-gated pricing means the fee scales with your account, and at the Prime tier Rs 12,000 a month against a Rs 1 lakh account is Rs 1.44 lakh a year on Rs 1 lakh of capital. That is not a software cost, it is a performance hurdle, and it has to be cleared before you make a rupee. We are not saying the platform does not work — we have not tested it. We are saying the arithmetic deserves a hard look at the lower capital bands, and that a tool-priced platform plus your own rule set is a very different proposition from a capital-priced service.

A factual note on instruments. AlgoSmart's own materials describe automated strategies on NIFTY, Bank Nifty and MCX, and it sells a separate crypto plan. That is a description of AlgoSmart's coverage and nothing more. EliteAlgo does not trade Bank Nifty, MCX or crypto — our desk runs NIFTY and SENSEX expiry-day option selling only. Do not read the breadth of any platform on this page as a description of what we do.

Where it looks strong: if you genuinely want someone else to set up and run strategies for you and you have the capital, the hand-held tier is a real offering and very few platforms here provide it.

What we cannot vouch for: strategy performance, which is the entire value proposition at this price. No published, independently verifiable track record means the Rs 50,000 tier is a trust purchase. Ask for audited per-strategy drawdown figures, not screenshots, before paying any tier.

Platforms the search results keep surfacing, added in November 2026

When we searched for the terms people actually type — "best algo trading software in india", "algo trading platform" — these four kept appearing on page one and were missing from this list. We have not traded on any of them. Everything below is from the vendor's own pages, read on 8 November 2026, apart from QuantMan, where we say what we could not read.

16. uTrade Algos — the lowest paid price with more than one live slot

Verified, not traded on. uTrade Algos is a no-code, hosted strategy builder from uTrade Solutions with ready templates such as straddles, condors and iron flies, and a path from backtest to live in the same screen. The plans scale by live slots and monthly credits:

• Beginner — Rs 99 a month, 75 credits, 2 concurrent live deployments
• Essentials — Rs 499 a month, 500 credits, 5 live (the page says the first month is free)
• Pro — Rs 1,999 a month, 2,000 credits, 10 live, faster backtest data loading
• Elite — Rs 4,999 a month, 5,000 credits, 20 live, priority loading

All plus 18% GST. Credits pay for AI strategy creation and backtests, and you can top up from Rs 99 for 100 credits to Rs 3,199 for 5,000. Share India's own plan table lists uTrade Intelligence and uTrade Originals, so it appears to run on the same product, which is worth knowing if you hold an account there.

Where it looks strong: no other platform we found gives you two live slots for Rs 99 or ten for Rs 1,999. The slot count is stated plainly.

What we cannot vouch for: fill quality, and how credits drain under a real parameter sweep. A backtest-heavy week can use a month of credits, so price your research as well as your live slots. Also note that uTrade's own blog ranks uTrade first on its own top-ten list. That is marketing and we treat it as such.

17. QuantMan — no-code options rules, with a plan page we could not read

Partly verified. QuantMan sells a no-code builder for options algos with indicator conditions and adjustment rules, and it ranks in the top four for "best algo trading software in india". Its plan page loads without prices for us, so we cannot give you a list price from the source. A rival's comparison page reports Rs 1,300 a month for 4 live deployments and Rs 3,300 for 10, and a 7-day trial. We have not confirmed those numbers and you should not rely on them until you have seen QuantMan's own plan screen.

What we cannot vouch for: everything about cost, and how its adjustment rules behave on an expiry-day gap. Use the trial for exactly that test.

18. QuantPower — options analytics and bots in one place, still in Beta

Verified, not traded on. QuantPower, from Wisdom Tree Ventures in Noida, combines an option chain with Greeks and IV, a no-code strategy builder, backtesting, a forward test that runs on live prices without orders, TradingView-alert signals and a daily MTM stop loss that closes everything when your total loss hits a number you set. It says it connects to more than 100 brokers. Its own pricing page says the Standard plan is free during Beta and Rs 299 a month after, with Professional at Rs 499 and Ultimate at Rs 999, GST extra, or ten months' price for a year.

Where it looks strong: an account-wide daily loss limit is the control that protects you when three strategies lose on the same day, and many cheaper tools lack it. The plan ladder differs on AI and file allowances, not on strategy count, which is unusual.

What we cannot vouch for: it is a Beta, so prices and limits can change, and we found no stated cap on live strategies. Its comparison page ranks QuantPower first and says so openly. Read it as the vendor's view. It is still the best-organised comparison in the results, and its two-week test idea is worth stealing, as you will see below.

19. Algomojo — API bridge and TradingView webhooks

Verified, not traded on. Algomojo is closer to a bridge than a builder: it takes API and webhook calls and routes multi-leg orders to your broker, with paper trading, live MTM tracking and a free strategy store. It lists 30-plus brokers. Pricing is Rs 999 a month, Rs 3,599 half-yearly or Rs 5,999 yearly, after a 7-day free trial. Its FAQ says you can get lifetime free API access by opening an account with a supported broker and emailing your details.

Where it looks strong: one flat price with no strategy cap stated, and a clean fit for anyone who already generates signals in TradingView or Python.

What we cannot vouch for: order latency under load. The free route also means switching broker, so compare that broker's charges before calling it free.

Algos bundled with a broker account: Flattrade and Share India

Some brokers give away what others charge for. Flattrade's algo page offers free trading and market-data APIs with no API charge, REST and Python access, and a no-code setup with backtesting and 80-plus indicators. Share India sells uTrade-powered plans inside the broker account: a 14-day free trial, a DIY plan at Rs 0 plus per-trade brokerage, and Rs 999, Rs 3,499 and Rs 7,499 tiers, as read from its pricing page, whose limits table is dense, so check the caps before paying. The trade-off in both cases is the same: it is cheap because you are moving your trading to that broker. Add the brokerage difference to the bill, as in the cost section above.

What was removed from this list, and why

We keep this log deliberately. Five entries that appeared in earlier versions of this page have been removed, and naming them matters because they still circulate in other 2026 comparisons — if you see any of these recommended elsewhere this year, you are reading recycled copy:

• Zerodha algoZ — decommissioned. algoZ went live on the old Zerodha Trader terminal in April 2013 and has since been retired, as has its successor Pi. It was listed here twice, once as a platform and once in the comparison table at "Rs 250/month with a 7-day free trial" — mechanics that actually belonged to Streak's old, now-withdrawn paid plans. Any current list naming algoZ is recycling 2023 copy.
• Algonomics and AlgoTraders — unverifiable as current products. Both were one-sentence entries with no pricing, no free tier, and no checkable current offering. A name in a list is not a recommendation; if either publishes verifiable pricing we will re-evaluate.
• TradeStation — wrong market. A capable US platform with strong backtesting, but it does not give Indian retail traders NSE or BSE access. It should not appear in an India comparison.
• Robotrader — demo mode only. A real platform, but its listing rested on offering a demo rather than a stated free tier or published price. Removed pending either.

How to choose a paid platform, in six questions

1. What exactly are you buying your way out of? Deployment slots, backtest volume, or execution quality. If you cannot name one of those three, do not pay — go back to the free tiers and come back when a specific limit is blocking you. This is the question most people skip, and it is why most algo subscriptions go unused.
2. Is the pricing model monthly, credit-based, or per-trade? These are not comparable by headline number. AlgoTest's Rs 499 is 500 credits that never expire. AlgoCrab's Rs 15 is per entry trade. Bull8's Rs 1,250 is a flat month. Convert all three into your own expected monthly cost at your own trade frequency before comparing anything.
3. Are you trading multi-leg options? Then backtest quality dominates everything else, and AlgoTest is the specialist. Generic equity backtesters model option legs badly, and an optimistic fill assumption on a short strangle will flatter a strategy that loses money live.
4. Is your problem the idea, or the execution? If a working strategy is losing money to slippage and latency, you need an execution bridge such as Stoxxo, not another backtester. This is the one case where the subscription pays for itself arithmetically — measure your slippage first, then compare.
5. Can you write code? If yes, a free broker API (Dhan or mastertrust) plus your own risk layer is still the cheapest serious setup in the market, and no subscription here beats it on cost. If no, stay in the no-code lane — a half-understood script is worse than a condition builder. If you do code, our Python for algo trading in India and broker API guide cover the free-API route in detail.
6. Who carries the SEBI compliance burden? If you do not want to run a whitelisted static IP, choose a platform that executes inside the broker's stack. If you do, add Rs 300-600 a month to every price on this page, and verify your broker's readiness. No subscription tier absorbs this for you.

Four checks the feature grids skip

Most comparison pages stop at price and features. These four decide whether the thing works on a bad day.

1. Does it support your broker for every segment you trade? A platform that does not support your broker means opening a new account. Check NSE index options, BSE Sensex options and futures separately, because support is not always the same across segments. Also expect to log in to the broker once every trading day with most brokers. Their sessions expire overnight and nothing will place an order until you do.
2. Where does the stop live? Some platforms send a stop-loss order to the exchange the moment a position opens. Others watch prices and send the exit when the level is hit, which only works while the platform stays connected. Ask what happens to open positions if the connection drops. On expiry day that is the question that matters.
3. Is there a loss limit across the whole account? A stop on each leg and on each strategy is not enough. Three strategies can each respect their own stop and still add up to a day you did not plan for. An account-level MTM limit that closes everything is the control that catches that, and a time at which every position shuts is the second one.
4. Does it run in the cloud or on your machine? A cloud platform keeps running when your laptop sleeps. A desktop tool, including execution bridges like the one we use, needs a machine that stays on, online and logged in for the whole session. A power cut or a Windows update can stop a strategy with a position open. Our own desk runs a desktop bridge, so the machine is on our risk list too. Also check whether support answers during market hours. A question about an open position cannot wait until the next morning.

A fair test before you pay: run the same strategy everywhere

Feature grids hide differences that only show when two platforms run the same rules. This is the test we would run on any of them, and it costs close to nothing because most offer a trial or a free tier.

1. Pick one simple strategy. A short straddle works: sell the at-the-money call and put at a fixed morning time, put the same percentage stop on each leg, close at a fixed afternoon time.
2. Build identical rules on each platform. Note how long it took and anything you could not express, such as a stop on the combined premium.
3. Backtest the same period with the same charges. Use at least a year. The results should land close together. A large gap means the platforms treat entries, stops or data differently, and you need to know why before trusting either number.
4. Check five trades by hand. Pick five days from the trade list and compare entry time, strike, stop price and exit against a one-minute chart.
5. Forward test for five sessions. Compare the forward-test fills with the prices you saw on screen at the time.
6. Test the loss limit. Set a small daily limit in forward test and confirm that it closes every position when hit.
7. Go live with one lot for a week. Compare the platform's log with your broker's order book. Every order, time and price should match.

Paper trading comes first, and we have written out how to do it properly in paper trading an option-selling algo.

Mistakes we see when people choose

• Choosing on the headline price. A Rs 99 plan with two slots and a Rs 250 plan with one are not comparable until you count your strategies.
• Trusting a backtest you cannot inspect. If you only see a summary chart, you cannot tell whether entries, stops and fills match real prices. Ask for the trade list.
• Skipping forward test. A strategy that has never run on live prices has not met slippage, rejected orders or an expired broker session.
• Running several strategies with no account-level limit. See check three above.
• Ignoring order count. Multi-leg strategies with re-entries place dozens of orders in a day, and the charges grow with every one.
• Paying for rules you cannot see. A hidden-logic strategy is a black box under the SEBI rules. Treat any promise of fixed or guaranteed returns as a warning sign.
• Starting on a yearly plan. Yearly billing saves money only if the platform still suits you after the trial. Start monthly where you can.

If you came here looking for free software

You are on the paid page, and we would rather hand you off than waste your time. Best free algo trading software in India covers the platforms with a genuine permanent free tier, states each cap exactly — how many live deployments, how many backtests, which instruments — and separates real free tiers from expiring trials, which is the distinction most lists blur. Streak, Dhan, TradingView, AlgoTest's free allowance, Sensibull, INDfolio AI and mastertrust's free API all live there with their limits spelled out.

If you want to test a strategy without risking capital first, paper trading an option-selling algo walks through doing that properly, and it costs nothing on several of the platforms above.

How to use algo trading software well

• Write the rule set in plain words before you automate it — entry, exit, stop, size, and the condition under which you switch it off.
• Backtest with brokerage, STT, exchange charges and realistic option slippage included. Without them a backtest is a marketing chart.
• Paper trade through at least one full expiry cycle. Expiry days, gap opens and event days are where strategies actually break.
• Set position limits and a daily loss cut-off in the platform, not in your head.
• Go live at the smallest size the contract allows, and scale only after live results and backtest agree for a month.
• Re-verify pricing before you subscribe — every figure on this page carries a 14 October 2026 date for a reason, and AlgoTest's shift from monthly plans to credit packs is exactly the kind of change that makes a six-month-old comparison wrong rather than merely dated.
• Convert every price into cost per live strategy per month at your own trade frequency. A credit pack, a flat subscription and a per-entry fee cannot be compared any other way.

For the strategy side of this, see our algo trading strategies breakdown, and for expiry-day option selling specifically, NIFTY and Sensex algo trading.

Where EliteAlgo fits

EliteAlgo does not sell any of the software above, and does not sell software at all. We are a proprietary desk running rule-based NIFTY and SENSEX expiry-day option-selling systems with pre-defined risk limits, on in-house tooling. We do not sell tips or signals, and what we build is analytical software, not investment advice.

We publish this comparison because we run the same evaluation internally every year, and because most Indian algo-software content is two or three years stale — the AlgoTest credit-model change above had been live for a while before most comparison pages, including an earlier version of this one, caught up. Our author credit is on this page for the same reason: Rajeev Gupta has been trading Indian markets since 2006, and the parts of this page that are first-hand are marked as first-hand while the parts that are desk research are marked as desk research.

If you would rather not build and maintain a stack yourself, our algo trading services page explains how a managed engagement works, and our comparison of algo trading firms in India puts us alongside the alternatives — note that a firm and a platform are different purchases, and that page is the right one if you are buying an outcome rather than a tool.

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