Free Algo Trading Software in India: The Best Free Tiers in 2026

Updated 20 October 2026. This is a list of free algo trading software an Indian trader can actually use. Every platform here has a permanent free tier on NSE or BSE instruments, and every limit is given as a number instead of an adjective. The page answers one question: what can you really do at zero software cost, and exactly where does each free tier stop? If price is not your constraint and you want the best algo trading software in India regardless of cost, that is our paid algo trading software comparison — it will serve you better than this page will.

On "algo trading software free download": there is almost nothing to download. People searching for a free download of algo trading software are usually looking for an installer, and in India in 2026 that installer mostly does not exist. The platforms below are browser-hosted or broker-hosted — you log in, and the trading logic stays on their servers. The only download involved is a mobile app shell for the same account. That is deliberate: a hosted platform can be patched centrally when a broker API or a regulatory requirement changes, and both changed in the last eighteen months. One warning. Be wary of any site offering a cracked or pirated download of paid algo trading software — that binary holds your broker API keys and runs unreviewed code against your capital, which is a far worse cost than the subscription it claims to save you. The FAQ covers the download question in full.

Two scope rules govern this page, and both are deliberate. First, India only. Every platform ranked below gives you access to NSE or BSE instruments. We removed the overseas platforms that previous versions of this list carried. A tool you cannot point at a NIFTY option chain is not free algo trading software in India. It is free algo trading software somewhere else. Second, free tiers only. A seven-day trial is not a free tier, and a free signup that bills you per order is not free either. The three-way distinction between a free tier, a free trial and free to register is the single most useful thing on this page, and it is what almost every competing list leaves out.

We are a proprietary NIFTY and SENSEX expiry-day option-selling desk in Delhi, running since 2006. We are not a review site and not an affiliate. We run this evaluation internally every year because we have to. We publish it because most "best free algo trading software in India" content in this market is two to four years stale. Some of it still recommends platforms that shut down before the last general election.

What actually changed in the Indian market in 2026

Feature tables date quickly. These four structural shifts matter more than any of them, and three of the four are less than a year old.

• The best no-code platform stopped charging. The strongest no-code systematic-trading tool for Indian F&O is now bundled at no cost by the large discount broker that owns it, for every one of that broker's account holders. Its old paid tiers — roughly Rs 500 to Rs 1,400 a month — were withdrawn. The same thing happened to the leading options-analytics tool. If you hold an account at that broker, the two tools most Indian retail option traders used to pay for are already included in what you have.
• Free broker trading APIs became a real category. At least two sizeable Indian brokers now publish a trading API with no monthly platform fee at all — not a waived fee, not a fee above a trade threshold. API access shifted from being a product brokers sell to being a reason to open an account. That is a genuine change in what zero-cost automation looks like in India, and we cover the category below without steering you to any particular broker.
• A free tier that models Indian costs appeared. Until 2026, every free backtester in India let you discover brokerage, STT and exchange charges only after you went live. At least one free-forever tier now builds the Indian cost stack into the backtest itself. That sounds like a detail. It is the difference between a strategy that looks profitable and a strategy that is profitable.
• The cost moved from the software to the infrastructure. This is the big one, and it is why half of the advice you will read elsewhere is now wrong. Under the retail algo framework that reached full applicability in April 2026, an API-routed algo needs a vendor-client-specific API key, a static public IP whitelisted with your broker, and an exchange-assigned algo identifier on the order. The platform can be free. The static IP is not — budget roughly Rs 300 to Rs 600 a month. Read that section before you budget anything at all.

If you want the underlying concepts before the comparison, start with our complete guide to algo trading in India. And a sentence we will repeat more than once: free software does not make a strategy work. Algorithmic execution removes hesitation, fat fingers and revenge-trading from a rule set you already trust. It does not supply the rule set, and no free tier anywhere will.

How we evaluated these free tiers

We are a trading desk, not a publisher, so here is the method in full — including where it is thin, so you can discount it accordingly.

Every cap on this page is a number we read off the vendor, not a number we copied. Across 14 to 16 October 2026 we checked each platform's own pricing page, help documentation or official announcement. Where a vendor states a cap, we quote it and link the source. Where a vendor is vague, we say the cap is unstated rather than inventing a plausible figure. Sometimes a vendor's own two pages disagree with each other. That happened on one platform in this pass. We then say only what both pages agree on, and send you to the vendor to settle the rest.

What we have used ourselves, on real money. Four of the platforms below, each on a live or funded account at some point across 2024 to 2026, running real multi-leg option structures rather than demo equity strategies. For those four we can tell you which cap bites first in practice, and it is usually not the cap the vendor leads with. On the no-code platform, for instance, the headline is "unlimited equity backtests" — but the limit an option seller hits in week one is the daily cap on dynamic options-contract backtests.

What we have verified but not used. The rest. We have read their published terms and nothing more, and each entry says so explicitly in its first line. A page claiming hands-on experience of nine platforms would be lying to you, and you should treat any page that does claim it as marketing.

The one test every entry must pass. Is the free access permanent, or does it stop? A platform appears on this list only if its free access continues indefinitely under stated caps. Trials are excluded by definition and named separately at the end, because the entire failure mode of "free algo trading software" lists is quietly counting a seven-day trial as free.

What we deliberately did not test. Live execution latency under expiry-day load. That is the only condition our own desk actually cares about, it requires funded accounts on every platform simultaneously, and we have not done it. Anywhere latency matters to a verdict below, we say we have not measured it.

What we do not claim. That any of these makes money. No platform produces returns; your rule set does, or it does not. We assess what each free tier lets you do and where it stops, which is the only thing the software itself controls. Nothing on this page is investment advice — EliteAlgo builds analytical software, and that is the limit of what we are telling you.

The three kinds of "free" — and why most lists conflate all three

Before any table is useful, this distinction has to be nailed down. Nearly every list of free algo trading software in India mixes these three categories into one column, which is how a reader ends up signing up for something that stops working on day eight.

What it is called	What it actually means	How it ends	Is it on this list?
Free tier	Permanent access, capped by a stated number — backtests per week, deployments at a time, indicators per chart, strategies you may run.	It does not end. You hit the cap and the cap holds.	Yes. This is the only category that qualifies.
Free trial	Full or near-full features, time-limited — typically 7 to 14 days.	It expires, and the platform stops working until you pay.	No. Named separately in the no-free-tier section.
Free to register	Signup and account creation cost nothing. Using the platform is billed per order or per trade.	It never ends, but it is never free either. Cost scales with how much you trade.	Flagged, not ranked. See free to register is not free to trade.

There is a fourth thing that masquerades as free and deserves naming: demo mode. A demo that cannot place a live order is a sales tool, not a tier. Two platforms were removed from earlier versions of this very page for exactly that reason, and we list them in what we removed rather than pretending the earlier version was right.

Why this list is India-only, and what we excluded

This is the largest single change in this revision, and it is worth explaining rather than doing quietly.

Lists of "free algo trading software in India" have a structural problem: the genuinely free, genuinely well-known algo software in the world is mostly not Indian, and mostly cannot touch an Indian exchange. So list-writers pad to a round number — ten, fifteen — with platforms that are free and famous but useless here. We have seen competing lists of fifteen "free algo trading software in India" where fewer than half the entries give an Indian retail trader NSE or BSE access at all.

What we removed on scope grounds, as categories rather than names:

• Crypto-only rule builders. Genuinely free tiers, genuinely good products, and they touch no Indian exchange. One was carried on this page until this revision, with the honest note that it was "irrelevant if you trade NIFTY". That is an argument for removing it, not for keeping it with a disclaimer. It is gone.
• Institutional platforms built for Western hedge funds. Java-based, multi-asset, low-latency, licensed per desk. They are not free, they are not retail, and an Indian retail trader cannot buy one even if they wanted to. Appearing on a "free" list is a category error twice over.
• US-market retail terminals. Capable backtesting, strong communities, no NSE or BSE access for an Indian retail account, and never free. They belong on a list of US trading platforms.
• Platforms that have closed to retail. At least one once-celebrated quant research platform, still listed as "free algo trading software" on Indian comparison pages in 2026, shut its retail doors in 2020. If a list recommends a platform that has not accepted a retail user in six years, nothing else on that list has been checked either.
• Mathematical and numerical libraries. A C++ quantitative finance library and a numerical-computing environment are both free and both excellent. Neither is algo trading software. You cannot deploy a strategy with them; you can compute with them. Listing them pads a count and helps nobody.
• Desktop technical-analysis packages from Europe, plus a bridge. Paid software, paired with a paid data feed, paired with a paid execution bridge. A legitimate and still-used route in India for traders who already own the licences, and the opposite of free.

One category we kept, with a label: global charting and strategy-research platforms that do carry Indian market data. These are not Indian companies, but they do give you NSE instruments, their free tiers are real, and realistically most Indian retail strategies are designed on one of them before they are automated anywhere. We cover that layer in its own section rather than ranking it against Indian execution platforms, because comparing a charting tool to a deployment engine on one list is how these articles get confusing.

The result is a shorter list than the fifteen-entry pages you will find elsewhere. That is the point. Every entry below is a platform an Indian retail trader can actually use, for free, on Indian instruments, today.

Quick comparison — what is genuinely free in India, October 2026

"Free tier" means permanent but capped. "Free to register" means the signup costs nothing but using it does not. Nothing in this table is a trial — trials are listed separately further down.

Platform	What is actually free (verified October 2026)	Type	NSE/BSE live orders on free?	Best for
Streak broker-bundled no-code	Free for all account holders of the discount broker that owns it. Unlimited equity backtests; 50 dynamic options-contract backtests a day; 5 live and 15 virtual deployments; 5 live scanners	Free tier	Yes — native, inside that broker's stack	No-code Indian equity and F&O
Free broker trading APIs a category, not one product	At least two sizeable Indian brokers publish a trading API with no monthly platform fee. Typical published allowances: around 10 orders a second, cover/bracket/AMO order types unrestricted, REST plus websocket streaming	Free tier	Yes — real live orders	Traders who write their own code
AlgoTest	25 backtests per week, permanently — the vendor is explicit that this is not a trial. No carry-over between weeks. Paid side is prepaid credits, not a monthly plan	Free tier	No — research only	Multi-leg options backtesting
INDfolio AI	Free forever: plain-English strategy generation, visual rule builder, backtesting on 3 years of NSE data with Indian costs built in, 1 paper-trading strategy, 25 free backtests. No card required	Free tier	No — live starts at Rs 999/month	Turning an idea in words into a testable rule set
Sensibull	Free: option chain, verified P&L, FII/DII data, positions, events calendar. Pro (strategy builder, OI charts, IV charts, screener) Rs 800/month or about Rs 480/month annual — and bundled free by one large discount broker for its own users	Free tier	Via a linked broker	Reading the option chain before you automate anything
Tradetron	Paper trading free against live data. Starter plan Rs 300/month, capped at 1 live deployment	Free tier (paper only)	No — paid plans only	Paper-testing, and deploying someone else's strategy
Global charting layer not an Indian platform — see note	Free plans typically allow the full scripting editor and strategy tester, with workspace caps: 1 chart per tab, 2 indicators per chart, a handful of price alerts that expire	Free tier	No — research layer, needs a bridge or a webhook-capable broker	Designing and backtesting the idea itself
AlgoCrab	Registration free with a small welcome credit, but trading is billed at roughly Rs 15 per entry trade (exits carry no platform fee). 30-plus broker connections	Free to register, not free to trade	Yes — but each entry costs about Rs 15	Low-frequency and positional traders only

Read the fourth column first. It is the one that decides your shortlist. If your requirement is a live order at zero software cost, exactly two rows qualify — the broker-bundled no-code platform, and the free broker APIs. Everything else in this table is free research, which is worth a great deal and is a completely different thing.

Before anything else: SEBI's retail algo rules changed what "free" costs

This is the most important section on the page, and it is the one most free-software lists skip entirely because it was not true when they were written.

India's securities market regulator, SEBI, issued a framework for safer participation of retail investors in algorithmic trading in February 2025. Its implementation timeline was extended by a further circular in September 2025, creating a phased glide path with checkpoints through January 2026 and full applicability from April 2026. That date has passed. This is no longer a thing that is coming; it is the environment you are trading in.

Three provisions bite directly on anyone automating through a broker API:

• No open APIs. Brokers may permit access only through a unique vendor-client-specific API key, paired with a static IP whitelisted by the broker. The point is that both the algo provider and the end client stay identifiable on every order.
• Static IP, not dynamic. You must register one or two fixed public IP addresses with your broker. Rotating or dynamic addresses are not accepted. An ordinary home broadband connection has neither a static IP nor, usually, the option to buy one. That is why third-party static-IP services aimed at Indian algo traders now sit at roughly Rs 300 to Rs 600 a month.
• Algo identifiers. Orders placed by an algorithm must carry an exchange-assigned identifier, so every automated order traces back to its source strategy.

There was also a hard onboarding checkpoint: brokers not live on the specified requirements could not onboard new retail clients for API-based algo trading from early January 2026. The practical consequence for you is unglamorous but financially real: choose a broker that is already compliant with the SEBI framework over one that is merely cheap. An API you cannot legally route through is worth nothing, however free it is. Our longer treatment is here: algo trading regulations in India.

Now the part that genuinely helps you. Notice what this framework does not touch. Backtesting. Paper trading. Scanners. Strategy research. And critically, no-code platforms that execute inside the broker's own stack, because you are not calling an API from your own machine — the broker is executing its own platform's instruction. That entire category stays free and stays unaffected.

So the honest shape of free algo trading in India in 2026 is this: if your reason for going free is that you are still learning, almost nothing above applies to you. If your reason for going free is that you have a working strategy and want to run it live at zero cost, the picture is different. The software may be free. The compliance infrastructure is not, and the static IP is the line item people forget.

The free platforms, in the order we would actually try them

Ordered by how much real work each free tier lets you do on Indian instruments — not by brand, not by feature count. Each entry opens by saying whether we have traded on it or only verified its published terms, per the methodology above.

1. Streak — the only genuinely free no-code platform for Indian F&O

We have traded on this one. Streak is a no-code systematic trading platform: you describe entry and exit conditions by picking from a list of indicators and operators, backtest the result, and deploy it live. Since January 2024 the large discount broker that owns it has covered the cost for every one of its own account holders, and the earlier paid tiers were withdrawn entirely. This is a genuine permanent free tier, not a trial, and it is the single strongest free offering in Indian retail algo trading today.

The caps are generous and, unusually, specific: unlimited backtests on equities, up to 50 backtests a day on dynamic options contracts, five live deployments and fifteen virtual deployments at a time, and five live scanners. For an option seller testing one expiry-day rule set, 50 dynamic-contract backtests a day is enough to do genuinely serious work.

The cap that actually bites, from using it. The headline is "unlimited equity backtests," and that is true and irrelevant if you trade options. The number that binds an option seller is 50 dynamic-options backtests a day. You will hit it in your first week of real research. A single parameter sweep across entry times and stop distances eats 50 runs before lunch. The workaround is not a workaround; it is discipline. Decide the one variable you are testing before you open the platform.

Pros

• No subscription and no coding, with backtesting and live deployment in the same screen — the shortest path from idea to live order in Indian retail, by a distance.
• Executes inside the broker's own stack, so the static-IP requirement does not land on you at all. For a beginner this is worth more than any feature.
• Five live scanners on the free tier. Most competitors put scanning behind a paywall.
• Five live plus fifteen virtual deployments is enough to run a small portfolio of rules, not just one.

Cons

• You need an account at the specific broker that owns it. There is no standalone free access, and if you are committed to another broker this entry is simply unavailable to you.
• Condition-builder logic only. Anything genuinely path-dependent — "if the position went 30% in profit at any point today, then tighten the stop" — is hard or impossible to express. This is the ceiling that eventually pushes serious option sellers off it.
• The 50-a-day dynamic options cap is the real constraint, not the headline unlimited one.
• No per-leg stop-loss modelling of the kind multi-leg option structures need.

2. AlgoTest — 25 free backtests a week, permanently, for multi-leg options

We have traded on this one. AlgoTest is built for the strategy family most Indian F&O traders actually run: multi-leg option structures with per-leg stops, targets and adjustments. Its free allowance is 25 backtests a week and the vendor is explicit that this is a permanent tier rather than a trial. Of the free backtesters covered here, this is the one whose option-leg fill assumptions we trust most. It does not quietly assume you got the mid price on an illiquid far strike. That assumption is the single most common way a free backtest lies to you.

Two caps the vendor does not lead with. First, unused weekly backtests do not carry over. Skip a week and you have lost 25 runs; the free tier rewards steady weekly work rather than one burst of research a month. Second, there is no live deployment whatsoever on the free allowance. This is a research tier, full stop, and no amount of reading the pricing page will change that.

Twenty-five backtests a week is not much if you sweep parameters, but it is plenty to settle a single question properly — one entry time, one stop distance, one expiry. That is the correct way to use it: bring a specific hypothesis, not a grid. In practice we found the cap enforces useful discipline, because an unlimited backtester invites exactly the over-fitting that kills option-selling strategies. We say more about why in what a free tier cannot teach you.

What happens when you outgrow it — and a pricing correction that matters. AlgoTest does not sell a monthly subscription, and this page said it did until October 2026. Per the vendor's own buy-plan documentation, read on 14 October 2026, it sells prepaid credit packs: Rs 499 for 500 credits, Rs 999 for 1,100, Rs 2,499 for 3,000, Rs 5,999 for 7,500 and Rs 14,999 for 20,000. Credits never expire. One live strategy consumes 100 credits per 28-day cycle, forward testing consumes 50, and individual backtests cost one credit each.

So the Rs 499 pack is not "one month of AlgoTest". It is roughly five strategy-months of live trading, or 500 extra backtests, or one short unlimited-research sprint. Some comparison pages published this year still quote AlgoTest at a flat Rs 1,499 or Rs 499 a month. That plan does not exist, and has not for some time.

A sourcing warning worth internalising. AlgoTest's own two pricing pages disagree with each other. One omits the Rs 14,999 pack entirely; they also give different credit costs for the fixed-window unlimited-backtesting option. We are therefore not quoting that figure at all — check it on the vendor's own buy-plan page rather than trusting any comparison article, this one included. Treat that inconsistency as the lesson it is: a vendor price read once, from one page, is not a verified price.

Pros

• A permanent free allowance that sits outside the credit system entirely, rather than a countdown trial.
• Genuine multi-leg option modelling with per-leg stops — the most honest fill assumptions of any free backtester we have used on Indian options.
• When you do pay, credits never expire, so a pack bought for one research sprint is not wasted if you then stop for three months.
• Built by and for Indian options traders, so strike selection, expiry handling and lot sizing behave the way you expect.

Cons

• 25 backtests a week rules out parameter sweeps on the free plan, and unused weeks do not carry over.
• No live deployment at all on the free tier. If you want a live order at zero cost, this is not your platform.
• The credit model takes real arithmetic to budget once you leave the free tier, and the vendor's own pages make that arithmetic harder than it should be.
• The interface assumes you already know option structures. It is not where a beginner should start.

3. INDfolio AI — a free-forever tier with Indian costs built into the backtest

Verified, not used by us. INDfolio AI takes a strategy described in plain English and converts it into an editable rule set. The important design decision is that every generated rule stays visible and changeable rather than hiding inside the model. That is the whole difference between a tool you can learn from and a black box you have to trust.

Its free-forever tier covers plain-English strategy generation, the visual rule builder, backtesting on three years of NSE data, one paper-trading strategy and 25 free backtests, with no card required at signup.

Why it ranks this high on a free list. One detail: the Indian cost stack is built into the free backtester. Brokerage, STT and exchange charges are applied inside the backtest rather than discovered after you go live. We rank that above several flashier features because a strategy that looks profitable gross and loses net is the most common and most expensive free-tier mistake in Indian retail algo trading. A backtester that lets you make it is doing you harm at no charge.

What the free tier does not include is live deployment. That starts at Rs 999 a month for one broker connection, or Rs 2,499 for all of its broker integrations. If you reach that point, it is compared properly on our paid page.

Pros

• A free-forever tier rather than a trial, and no card required to start — a genuinely low-friction way to test whether rule-based trading suits you at all.
• Indian brokerage and STT inside the free backtester. Unusual, and worth more than its marketing suggests.
• Generated rules stay editable, so you can read what was written for you and learn the grammar of a rule set instead of trusting output.
• Plain-English entry lowers the barrier for a trader who knows markets but not code.

Cons

• One paper-trading strategy on free, and no live deployment at all.
• Three years of NSE history is thin for an expiry-day options strategy. It contains few genuinely stressed markets, and a strategy that has never seen a stressed market has not been tested.
• We have not tested how it handles complex multi-leg option adjustments, which is precisely where we would expect a plain-English builder to struggle.
• Newer than the others here, with correspondingly less public track record on reliability.

4. Sensibull — free options analytics, and the reason your algo fails is usually here

We have used this one. Sensibull is analytics rather than automation. It earns a high place on a list about algo software for an unobvious reason. The most common cause of a failed options algo is a misread option chain, not a bad execution layer. Fixing your execution when the problem is your read of implied volatility is an expensive way to stand still.

The free tier covers the basic option chain, verified P&L, daily analysis, FII/DII data, the positions page, the events calendar and watchlists. Pro is Rs 800 a month, or about Rs 480 a month on the annual plan. It adds the custom strategy builder, the advanced option chain, open-interest and IV charts, virtual trades, the options screener and basket orders. Since February 2024 one large discount broker has covered full Pro access for its own account holders at no cost. So a substantial share of Indian retail option traders already have a Rs 800-a-month tool switched on and unused.

Pros

• Best-in-class option chain and IV/OI visualisation for the Indian market specifically, not a global tool with Indian data bolted on.
• Full Pro tier bundled free for one large broker's users — check whether you already have it before paying for anything comparable.
• Basket orders execute through your linked broker, so analysis and execution are not in separate universes.
• The free tier alone is enough to stop the single most common beginner error: selling an option without looking at what volatility is pricing.

Cons

• Not an algo platform. There is no backtester and no deployment engine, so it cannot be your only tool.
• The free tier deliberately withholds the strategy builder and the OI charts, which are the two things an option seller most wants.
• Users of other brokers pay Rs 800 a month for what one broker's users get bundled.

5. Tradetron — free paper trading, and that is the honest limit

We have used this one. Tradetron is a strategy marketplace with a no-code builder: you can construct a strategy yourself, or subscribe to one someone else built, and deploy against NSE, BSE and MCX data. Paper trading is free. Live deployment is not — the Starter plan is Rs 300 a month and is capped at a single live deployment, with quarterly and annual billing discounts of roughly 7% and 17%.

It stays on a free list because free paper trading against live data is genuinely valuable, and because the marketplace lets you watch how a strategy behaves before committing money to it. Be clear-eyed about marketplace equity curves, though: they are the seller's numbers, on the seller's chosen window, with the seller's choice of what to show. A curve you did not generate is marketing until you have paper-traded it yourself through at least one full expiry cycle.

Pros

• Free paper trading against live NSE, BSE and MCX data — the cheapest honest way to watch a rule set behave in real time.
• No coding needed, with a large library of ready-built strategies to study, whether or not you subscribe to any.
• Cheapest paid entry point of any full deployment platform here, at Rs 300 a month, so the step off free is small.

Cons

• Nothing live happens on the free tier at all. It is paper only.
• One live deployment on Starter, which you will outgrow quickly if the approach works.
• Marketplace track records are self-reported and self-selected, with the survivorship bias that implies.

Free broker trading APIs — the category, deliberately not a recommendation

Verified, not used by us. This is the newest genuinely free route to live algo trading in India, and we are covering it as a category rather than naming and ranking individual brokers. That is a deliberate editorial choice, and here is the reasoning, because you should be able to judge it.

A broker API is not a software product you can evaluate in isolation. Its value to you is inseparable from that broker's brokerage schedule, margin policy, order-rejection behaviour, uptime during expiry-hour load, and whether they are live on the compliance checkpoints described above. We have not tested any Indian broker's API under expiry-day load. That is the one condition that decides whether it is fit for the strategies we run. So we are not in a position to rank them, and a ranking we cannot defend is worse than no ranking. We also do not want this page acting as a broker referral: EliteAlgo builds analytical software and has no broker relationships to promote.

What is true about the category, and verifiable:

• At least two sizeable Indian brokers now publish a trading API with no monthly platform fee at all. Not a waived fee, not a fee above a trade threshold — no fee. Published allowances in this category typically run to around 10 orders a second, with cover, bracket and after-market order types unrestricted, REST endpoints plus websocket streaming, and official SDKs across Python, Java, Node.js and C#.
• Webhook order types have become common. Several brokers now accept an order triggered by an inbound webhook, which means an alert fired by your charting platform can place a live order with no paid bridge software in between. This is the cheapest genuine automation path available to a retail trader in India right now.
• Market-data APIs are often priced separately from trading APIs. This is the line item that catches people. A broker may give the trading API away and charge roughly Rs 500 a month for the data feed — sometimes waived once you cross a monthly trade count. Check both prices, not one.
• The developer APIs of the largest brokers are generally still paid. Free APIs are, so far, a challenger strategy for winning accounts rather than an industry norm.

What this route costs you that the no-code platforms do not. You write the strategy, the risk layer, the order-state reconciliation and the reconnection logic yourself. That last one is not optional and is routinely underestimated: a websocket that drops at 14:50 on expiry day, in a system with no reconnection handling, leaves you with open option legs and no stop. We have seen this fail on desks far better resourced than a retail trader. Budget real engineering time, not a weekend.

And API routing puts you squarely inside the static-IP requirement, unlike the broker-hosted no-code platforms. The software is free; the compliance stack is about Rs 300 to Rs 600 a month.

How to choose one without our help, in four checks. Confirm the broker is live on the current retail-algo compliance requirements. Confirm whether the trading API and the data API are priced separately. Read the published rate limits against your strategy's actual order rate, including the worst case where every leg re-enters after a stop. Then test order rejection and reconnection on the smallest size the contract allows, for a month, before you scale anything.

The global charting layer — real free tiers, but not an Indian platform

We have used this one. Most Indian retail strategies are designed on a global charting platform before they are automated anywhere, and the free plans on that layer are more capable than their caps suggest. It belongs on this page, labelled honestly: these are not Indian companies, they carry Indian market data, and they do not execute on an Indian exchange.

What the free plans typically include is the part that matters most — the full scripting editor and the strategy tester. You can write and backtest a complete strategy without paying anything. What the free plans limit is workspace rather than capability. Expect one chart per tab, two indicators per chart, one saved layout, a small watchlist, and a handful of price alerts that expire after about a month.

The cap that actually binds, and the standard workaround. Two indicators per chart is the constraint you will meet first, and the usual answer is to fold several indicators into a single script so that four plots count as one indicator. That genuinely works. The alert cap is much harder to work around, and the expiry of alerts is what pushes most people onto a paid tier once they are trading live rather than researching.

One warning specific to Indian options. Backtests on intraday options data on this layer are easy to over-fit, and easy to get quietly wrong. The underlying continuous contract a charting platform shows you is not the specific option contract you will actually trade. Treat a result from this layer as a filter that tells you an idea is worth testing properly — never as proof. The multi-leg options backtesters above exist precisely because this layer cannot do that job.

Pros

• The scripting editor and strategy tester are on the free plan, so strategy design and backtesting genuinely cost nothing.
• The largest published libraries of community scripts anywhere, which is a free education in how rules are expressed.
• Pairs directly with the free broker webhook orders described above for live execution at zero software cost.

Cons

• Not an Indian platform, and no native Indian broker execution — you need a bridge or a webhook-capable broker.
• Two indicators per chart and a few expiring alerts will bind quickly once you are live.
• Options backtesting on this layer is unreliable for Indian F&O in the specific ways described above.

Free to register is not free to trade — read this before you count AlgoCrab

Verified, not used by us. AlgoCrab is a multi-broker dashboard covering more than thirty Indian broker connections, with built-in strategies, a visual rule builder and script-based editing. Registration is free, new accounts get a small welcome credit, and that is why it appears on "free algo trading" lists.

It is not free to trade. Usage is billed at roughly Rs 15 per entry trade, with exits carrying no platform fee. We are giving it a section rather than a table row because the arithmetic deserves a moment of your attention:

• Twenty entries a month — a positional trader — costs about Rs 300. Genuinely cheap, and cheaper than every subscription on this page.
• Twenty entries a day — an intraday trader — costs about Rs 6,000 a month. That is more than almost every paid subscription in the Indian market, bought without noticing.
• An option-selling strategy that re-enters after a stop pays the entry fee again on every re-entry. The cost therefore rises precisely in the conditions where you are already losing money, which is the worst possible shape for a cost curve.

Count your own expected entries before treating "no subscription" as cheap. Per-trade pricing is not a trick — for a low-frequency positional trader it is the best-value model on this page. It is simply not a free tier, and the two get conflated constantly.

What we removed from this list, and why

A refresh is only worth the name if things come off it. We keep this log permanently rather than quietly editing history, because a list that only ever grows has not been checked. Five entries have been removed across the last two revisions:

• A crypto-only rule builder — removed October 2026, on scope. This was the clearest failure on the page. It is a London-headquartered platform with a real free tier (two rules, with a monthly traded-volume cap of a few thousand dollars) that connects to global crypto exchanges and a handful of Western stock brokers. It touches no Indian exchange whatsoever. The previous version of this page kept it with the note that it was "irrelevant if you trade NIFTY" — which is an argument for deleting it, not for carrying it with a caveat. If you came to a page about India, a tool that cannot reach NSE should not occupy a numbered slot on it.
• A 2013-era broker-terminal algo add-on — the product no longer exists. It was enabled on an old broker desktop terminal in April 2013 and has since been decommissioned, along with that terminal's successor. An earlier version of this page described it as offering "a 7-day free trial, 50 backtests a day, 5 live deployments, from Rs 250 a month". Those were in fact another platform's old paid-plan mechanics, wrongly attached to a retired product. Any 2026 listicle still naming it as free algo trading software is recycling copy that was wrong when it was written.
• A US retail trading platform — not usable for Indian equities or F&O. Capable backtesting and a strong community, but it gives an Indian retail trader no NSE or BSE access, and it was never free. It had no business on a list of free algo trading software in India.
• Two Indian platforms listed purely on the strength of a demo. Both are real products with real customers. Both were on this page because they offer a demo mode, and a demo that cannot place a live order is a sales tool, not a free tier. If either publishes a permanent capped free plan, we will re-add it with the cap stated.
• A broker's account-opening offer, mistaken for free software. "Zero account opening charges, Rs 18 annual maintenance" is a brokerage fact, not a free algo tier — and the broker in question delivered its algo capability through a third-party execution bridge in any case. Broker pricing belongs in a broker comparison, which this is not.

Platforms with no free tier at all — named, not smuggled on

These come up constantly in Indian algo conversations, and several appear on other sites' lists of free algo trading software. None of them has a free tier. We name them so this page is a complete answer to the free question rather than a partial one, and so you do not spend an afternoon signing up to discover it:

• Bull8 (bull8.ai) — a no-code retail automation platform with pre-built strategies, launched to Indian retail in September 2025. Rs 1,250 a month plus taxes, with quarterly, half-yearly and annual plans at Rs 3,488, Rs 6,600 and Rs 12,300. There is no free tier, which means you cannot evaluate it without paying first — worth knowing before you compare it against anything above.
• AlgoSmart (algosmart.in) — not a tool but a managed service, and priced by your capital rather than by features: around Rs 12,000 a month for Rs 1-5 lakh accounts, Rs 25,000 for Rs 2-8 lakh, and Rs 50,000 for Rs 5-10 lakh and above. No free tier. At the entry tier that is roughly Rs 1.44 lakh a year against as little as Rs 1 lakh of capital. That is a performance hurdle rather than a software cost, and you should read it as one. A factual note on scope: AlgoSmart's own materials describe strategies on NIFTY, Bank Nifty and MCX. That describes AlgoSmart. EliteAlgo does not trade Bank Nifty or MCX — our desk runs NIFTY and SENSEX expiry-day option selling only.
• Stoxxo (by Algobaba) — an execution bridge rather than a strategy platform. It takes signals from charting platforms, scanners, spreadsheets or your own Python and fires them at your broker, with sub-10ms execution claimed. It also has a dedicated no-code multi-leg options module covering straddles, strangles and condors, with MTM or per-leg stops. Pricing is quoted through partners and there is no free tier; a demo on request is not a free tier. If your bottleneck is execution quality rather than idea generation, this is the category you want — and in the interest of disclosure, it is the category our own desk runs.
• Quantiply — runs multiple strategies simultaneously with strategy-level live monitoring. Its free access is a seven-day trial, which is a trial, not a tier. Seven days is not long enough to evaluate an intraday strategy honestly, and certainly not long enough to see more than one weekly expiry. Our longer read is at options backtesting software in India.
• AlgoBulls — a strategy marketplace with hosted execution, sold on per-strategy subscriptions. A paper mode exists; a free tier does not.
• Broker-bundled desktop plugin suites. Several brokers sell a technical-analysis desktop plugin bundled with market data at around Rs 1,000 a month. Not free, and worth knowing about only because a currently-maintained desktop-package-to-live-Indian-broker route is genuinely scarce.

All of these appear with current, verified pricing detail on our paid algo trading software comparison. If you have decided to spend money, go there. It compares pricing models properly, including the three genuinely different structures — monthly subscription, prepaid credits and per-trade fee — that cannot be compared by headline number at all.

Free tier versus paid: the five limits that actually bind

Vendors advertise feature lists. In practice, a free tier stops being enough for one of five reasons. Knowing which one you are hitting tells you exactly what to buy. More often, it tells you that you do not need to buy anything.

The limit	What it feels like	Does paying fix it?
1. Backtest volume	You want to sweep ten entry times against six stop distances and the week's 25 runs are gone by Tuesday.	Yes — and this is the most common honest reason to pay. But read the desk findings below first: wanting 60 runs is often a symptom of not having a hypothesis, and paying for it buys you faster over-fitting.
2. Live deployment slots	Five live deployments is not enough for the portfolio of rules you now run, or your platform allows one and you need three.	Yes, directly and cheaply. This is the clearest case for a paid upgrade, and the step is usually Rs 300 to Rs 999 a month.
3. Logic expressiveness	Your rule needs intraday state — "if this position was 30% up at any point today, tighten the stop" — and the condition builder cannot say it.	Not by upgrading the same platform. This is a ceiling on the platform category, not the tier. It means moving to a code-based route or a multi-leg options engine, which is a bigger decision than a subscription.
4. Execution quality	Backtest and live results diverge, and the gap is slippage rather than logic — worst in the last hour of expiry day.	Sometimes. A dedicated execution bridge genuinely helps. But first prove the gap is slippage, by comparing your fills to the mid price at your own order timestamps. Most traders who blame slippage have a logic problem.
5. Data history depth	Your free backtester has three years of history and your strategy has therefore never seen a genuinely stressed market.	Yes, and this one is underrated. Three years of a mostly calm market is not a test. Of the five limits, this is the one traders least often notice and most often get hurt by.

Notice that only three of the five are fixed by paying for the tier you are already on. That is the honest summary of free versus paid in Indian algo trading: the free tiers are genuinely good, and most people who upgrade are solving the wrong problem.

What no free tier can teach you — four findings from 163 real expiry sessions

This is the section no comparison page can copy from a vendor's pricing page, and it is the most useful part of this article if you intend to actually trade. Every free backtester above will give you an equity curve. None of them will tell you the four things below, and all four have cost retail option sellers more money than any subscription fee.

The data. These figures come from our own desk study of 163 NIFTY and SENSEX weekly-expiry sessions between January 2025 and July 2026 — 83 NIFTY and 80 SENSEX days. All of it is computed from one-minute option-chain and spot data. The at-the-money strike is fixed at the 09:20 entry snapshot. Nothing here is simulated or back-filled. Where a figure needed a proxy we say so and do not present it as a measured value.

Finding 1: the median expiry day gives back 43% of its best profit

For a short at-the-money straddle entered at 09:20, we measured the peak mark-to-market profit across the session against the profit at the close.

Metric	Value
Sessions with a usable series	159 of 163
Median give-back, as a share of peak profit	42.8%
Sessions giving back more than 30% of peak	86 of 159 (54%)
Sessions giving back more than 50% of peak	78 of 159 (49%)
Sessions where a profitable peak closed as a loss	48 of 159 (30%)

Why this matters to a free backtester. A backtest reports the closing result. It does not report that on roughly one day in three, you were in profit at some point and finished in a loss. That is the experience that makes a trader override their own system. Overriding the system is what actually kills the strategy. The free tier shows you the number. It cannot show you the sequence, and the sequence is what you have to survive. Budget for the psychology, not just the P&L.

Finding 2: premium does not bleed steadily to zero — it front-loads and then stalls

The most repeated claim in Indian options content is that expiry-day premium decays steadily through the session. Across 163 sessions, it does not. Mean at-the-money straddle premium, as a percentage of the 09:16 entry premium:

Time	% of entry premium	Time	% of entry premium
09:16	100.0	12:46	88.8
09:46	96.0	13:16	90.1
10:16	93.1	13:46	93.3
10:46	90.6	14:16	91.9
11:16	88.6	14:46	88.7
11:46	88.1	15:16	91.3
12:16	90.1	—	—

The curve drops fast for roughly two hours, reaching 88.6% of entry premium by 11:16, and then chops sideways in an 88-93% band for the rest of the session. It never grinds toward zero.

The mechanism, which matters more than the number. Because the strike is fixed at the 09:20 at-the-money level while spot keeps walking, the series nets theta decay against gamma re-pricing as spot drifts away from that strike. It is not a pure theta curve, and treating it as one is how traders design an afternoon entry that the data does not support. If your rule set assumes a monotonic afternoon bleed, it is assuming something that did not happen on these 163 days. Our full treatment is in the NIFTY expiry-day premium clock.

Finding 3: your premium budget roughly doubles across volatility bands

At-the-money straddle premium at the 09:20 snapshot, as a percentage of spot, grouped by that day's opening India VIX:

VIX band	Sessions	Mean premium (% of spot)	Median
Below 12	46	0.38%	0.38%
12 to 14	43	0.47%	0.44%
14 to 17	35	0.58%	0.51%
17 to 20	24	0.64%	0.60%
Above 20	11	0.83%	0.76%

The relationship is monotonic across all five bands, with at least eleven sessions in every bucket, and premium roughly doubles from the calmest band to the most stressed.

Why a free backtest hides this. A backtest over three years returns one blended result across every volatility regime it contains. For Indian indices, 2023 to 2025 was mostly a low-volatility market. A strategy backtested on that window has been optimised for the 0.38% premium world. It will be sized wrongly the first time VIX prints above 20. This is the data-history-depth limit from the table above, in concrete form. It is also why we treat any backtest shorter than a full volatility cycle as a filter rather than a result. More on this in what India VIX actually does to a short strangle's premium budget.

Finding 4: the close sits within about 0.1% of max pain on the median day

Max pain computed from the end-of-day open-interest snapshot across the full strike chain, by the standard minimise-writer-payout method, against the actual expiry close:

	All (n=163)	NIFTY (n=83)	SENSEX (n=80)
Mean distance (% of spot)	0.122%	0.160%	0.083%
Median distance (% of spot)	0.083%	0.130%	0.060%
Maximum distance observed	0.81% of spot	—	—

SENSEX pins notably tighter than NIFTY — a 0.060% median distance against 0.130%. That is a real structural difference between the two instruments, and no free backtester will surface it for you, because it is a property of the market rather than of your strategy. It is also exactly the sort of thing that decides whether a strike-selection rule designed on one index transfers to the other. It does not, automatically.

The point of all four findings. Free software is sufficient to find out whether a rule set works. It is not sufficient to tell you what the market you are trading actually does. Those are different projects, and the second one is where the money is. You can do the second one for free too — but with data and a notebook, not with a platform.

How to actually use a free tier without wasting it

Free tiers are capped in runs, deployments and history. Used carelessly, you will burn the cap in a week and conclude the tier is too small. Used in this order, it is enough to take a strategy from an idea to a live position without paying for software at all.

1. Write the rules down in words first, before opening any platform. Entry, exit, stop, position size, and the condition under which you switch the algo off entirely. If it cannot be written in five sentences, it cannot be coded, and no amount of free backtesting will rescue it. This single step saves more free-tier capacity than any other.
2. Backtest one question at a time. A capped allowance is a discipline, not a handicap. Twenty-five deliberate backtests beat two hundred accidental ones, because each deliberate run answers a question you asked in advance, and that is the only kind of answer that generalises.
3. Include costs and slippage, or do not bother. A backtest without brokerage, STT, exchange charges and realistic slippage on option legs is not a backtest — it is a chart. This is where most free-tier equity curves die, and it is why a free backtester with Indian costs built in ranks as highly as it does above.
4. Test across at least one high-volatility stretch. Per Finding 3, a strategy tested only in a calm market has been sized for a market that is not currently running. If your free tier gives you three years of history, deliberately isolate the most volatile two months in it and look at that result separately.
5. Paper trade through at least one full expiry cycle. Live data behaves differently from historical data on exactly the days that matter — expiry, gap opens, event days. Several free tiers here cover this at no cost, and our walkthrough on paper trading an option-selling algo sets out how to do it so the result means something.
6. Watch the intraday path, not just the closing P&L. Per Finding 1, roughly one session in three turns a profitable peak into a losing close. Decide now, in writing, what you will do on that day — because you will have one in your first month, and deciding in the moment is how systems get abandoned.
7. Sort out compliance before you go live, not after. Static IP, broker whitelisting, broker readiness on the current requirements. See the regulation section. People discover this on the morning they intend to start.
8. Start at the smallest size the contract allows, and scale only after live results and the backtest agree for a full month. Our note on lot size and position sizing covers why the minimum size is larger than most new traders assume.

A 30-day plan: from zero to a tested strategy at zero software cost

The question we are asked most often is not which platform is best — it is what to actually do. Here is the sequence we would follow, using only free tiers described above, with no software spend at any point.

Week	What you do	Which free tier	What you should have at the end
Week 1 Learn what you are trading	Read the option chain every day for five sessions without placing a trade. Note implied volatility at open, at midday and at close. Watch what happens to at-the-money premium on expiry day specifically.	Free options analytics tier; free charting plan	A written page of observations about how premium actually behaved — your own version of Finding 2, on five days rather than 163.
Week 2 Write one rule set	Write the five sentences: entry, exit, stop, size, kill-switch. Then express it in a no-code builder or a plain-English builder. Do not optimise anything yet.	Broker-bundled no-code platform, or the free-forever plain-English builder	One rule set that runs, with costs included, and a baseline result you have not touched.
Week 3 Test one variable	Change exactly one thing — entry time, or stop distance, or strike selection. Not all three. Record each result before the next run. Isolate the most volatile stretch your data covers and look at it separately.	Multi-leg options backtester's weekly free allowance	A table of five to eight results that answers one question, and an honest view of whether the edge survives a stressed market.
Week 4 Paper trade it live	Deploy the rule set on paper against live data through at least one weekly expiry. Log the intraday path, not just the close. Compare the paper fills to what your backtest assumed.	Free paper trading tier; free virtual deployments	A live-data result you can compare to the backtest — and the first honest estimate of your slippage.
Day 30 onwards Decide	If backtest and paper agree, sort out compliance and go live at minimum size. If they disagree, the gap is your real finding, and it is more valuable than the strategy was.	Free broker API or native no-code deployment	Either a live position at minimum size, or a documented reason not to have one. Both are a good outcome.

Total software spend across those 30 days: nothing. Total compliance spend if you go live through an API at the end: roughly Rs 300 to Rs 600 a month for a static IP. Deploy inside a broker-hosted no-code platform instead and it is nothing at all.

Six free-tier mistakes we see repeatedly

1. Treating the backtest cap as the constraint. It almost never is. The constraint is that you have not decided what you are testing. A trader with one clear hypothesis gets more from 25 runs a week than a trader with a grid gets from unlimited runs.
2. Backtesting gross and trading net. Brokerage, STT and exchange charges on a multi-leg option structure are not a rounding error — on a small strategy they are the whole edge. If your free backtester does not model them, model them in a spreadsheet before you believe anything.
3. Mistaking a calm market for a tested strategy. Three years of history that contains no stress has tested nothing that matters. See Finding 3.
4. Trusting a marketplace equity curve. It is the seller's number, on the seller's window, with the seller's choice of what to display. Paper trade it yourself for one expiry cycle before you believe a line on someone else's chart.
5. Going live without reconnection logic. This applies specifically to the code-and-API route. A dropped websocket in the final hour of expiry day, with no reconnection handling, leaves open option legs with no stop. This is the most expensive single omission on this page.
6. Forgetting the static IP until the morning you want to start. It is a procurement step with a lead time, not a setting. Do it in week three, not on day one of live trading.

Is algo trading legal in India?

Yes. SEBI permitted algorithmic trading in India in 2008, initially through direct market access restricted to institutional investors, with retail participation following as brokers built API and platform access. SEBI's 2025 retail framework does not restrict retail algo trading — it formalises it, by requiring order routes that are identifiable and traceable.

Using any platform on this page is legal. What will stop working is routing an algo through an unwhitelisted dynamic IP now that the compliance dates have passed. The distinction matters: the risk is operational, not legal exposure for you as a trader.

Two things that are worth stating plainly because they are frequently misunderstood. First, no platform on this page is an investment adviser, and neither are we — a platform that executes your rules is a tool, and the decisions remain yours. Second, be specifically wary of any site offering a cracked or pirated download of paid algo trading software. Beyond the legal exposure, a cracked binary that places live orders holds your broker API keys and is an unreviewed piece of code with access to your capital. That is a far worse risk than any subscription fee it claims to save you.

Which free tier should you start with? A decision table

If this is you	Start here	Why
Complete beginner, no code, want to understand options first	Free options analytics tier, then the broker-bundled no-code platform	Learn to read the chain before you automate anything. The most common algo failure is a misread of volatility, not a bad execution layer.
No code, already hold an account at the broker that bundles the no-code platform	The broker-bundled no-code platform, immediately	Backtest and live deployment in one screen, five live slots, no static-IP requirement, no cost. Nothing else here matches that combination.
No code, hold an account at a different broker	The free-forever plain-English builder, plus a free paper-trading tier	Broker-independent, Indian costs modelled, and you can paper trade without paying. Live deployment will eventually cost money.
You trade multi-leg option structures seriously	The multi-leg options backtester's 25 free weekly backtests	It is the only free tier that models per-leg stops and realistic option fills. The cap is survivable if you bring a hypothesis.
You can write code	A free broker trading API, paired with the free charting layer for research	Genuinely zero software cost for live orders. Budget engineering time and about Rs 300-600 a month for the static IP.
Positional trader placing under about twenty entries a month	Consider the per-trade platform rather than a free tier	At roughly Rs 15 per entry, twenty entries a month is about Rs 300 — cheaper than any subscription, and it is not a free tier but it is good value.
Intraday trader placing many entries a day	Avoid per-trade pricing entirely	Twenty entries a day at Rs 15 is about Rs 6,000 a month, which exceeds nearly every subscription in the market. The cost also rises when you are losing.

Where EliteAlgo fits

EliteAlgo is a proprietary trading desk running rule-based NIFTY and SENSEX expiry-day option-selling systems with pre-defined risk limits, operating since 2006. We are not a registered investment adviser, we do not sell signals or tips, and we do not take custody of anyone's capital. What we build is analytical software — not investment advice, and nothing on this page should be read as a recommendation to trade.

We publish pages like this one for a straightforward reason. We run exactly this evaluation internally every year, because our own stack depends on it. And most "best free algo trading software in India" content in this market is two to four years stale. Several lists ranking highly today include platforms that closed to retail users before 2021, and at least one competing list of fifteen "free" platforms contains more non-Indian entries than Indian ones.

If you would rather not build and maintain the stack yourself, our algo trading services page sets out how a managed engagement works. If you would rather build it, everything on this page is enough to start without spending anything on software at all — and we would genuinely rather you did that first.

Free algo trading software in India 2026 — the summary

Best genuinely free no-code platform for Indian F&O: Streak, bundled at no cost by the discount broker that owns it, with five live deployments and no static-IP burden. Best free route for coders: a free broker trading API, of which there are now at least two in India with no monthly platform fee, paired with the free charting layer for research. Best permanent free options backtesting allowance: AlgoTest, 25 backtests a week with no carry-over and no live deployment. Best free backtester with Indian costs built in: INDfolio AI's free-forever tier. Best free options analytics: Sensibull, and bundled free at Pro level by one large broker for its own users. Best free paper trading: Tradetron. Free to register but roughly Rs 15 an entry to use: AlgoCrab — excellent for positional traders, expensive for intraday ones.

Only two routes on this page allow a live order at zero software cost — the broker-bundled no-code platform, and the free broker APIs. That is your shortlist for actually trading free. Everything else is free research, which is worth a great deal and is a different thing entirely.

And budget for the static IP, not for the software. That is the single most useful sentence on this page. In 2026 the software is the cheap part.

When it is time to pay, and what to read next

There are exactly three honest reasons to leave the free tiers. You need more live deployment slots than they allow. You need backtest volume to sweep parameters rather than settle one question. Or your working strategy is losing more to slippage than a subscription costs, and you have proved it is slippage rather than assumed it.

If you can name one of those three, our paid algo trading software comparison is the next page. Every price there was verified in October 2026, including the credit model most comparison pages still get wrong. It is also honest about which platforms we have traded on and which we have only verified. If your bottleneck is specifically backtesting quality, go to options backtesting software in India instead.

If you cannot name one of the three, stay here and keep your money. A paid platform will not improve a rule set that does not work, and the free tiers above are more than enough to find that out at no cost. Before going live at all, read the honest downside case in the disadvantages of algo trading and the mechanics in our algo trading strategies breakdown.

Every free-tier cap on this page was verified against the vendor's own pricing or help documentation in October 2026. Vendor terms change without notice — confirm current limits on the vendor's own site before relying on any figure here. Nothing on this page is investment advice.

Frequently Asked Questions