Speed comparison
Fastest Broker in India (2026): Order Execution Speeds Ranked by Published Figures
Looking for the fastest broker in India? Execution speed is the most marketed and least documented metric in Indian broking. Here is what is actually published - ranked, sourced, and honestly labelled where the data simply doesn't exist.
| S.No | Broker | Reported execution speed | Source |
|---|---|---|---|
| 1 | Arrow | 95% < 2.9 ms · 99% < 4 ms self-reported | Arrow - official website |
| 2 | Sahi | P95 < 6.61 ms · mean ≈ 5.9 ms self-reported | Sahi - official blog |
| 3 | Fyers | p99 < 7 ms (processing) self-reported | Fyers - official blog |
| 4 | Dhan | 95% < 25 ms (DEXT) self-reported | Dhan - official blog |
| 5 | Groww | < 50 ms self-reported | Groww - official update |
| 6 | Pocketful | < 50 ms self-reported | Pocketful - official blog |
| 7 | Zerodha | ≈ 80 ms (median) | AlgoTest Broker Speedtest |
Figures are approximate, as published by the cited source (9 July 2026 review), and vary with device, network and market conditions. They are broker- or publisher-reported, not independently audited by this site. Bar length is proportional to the midpoint of the reported range; shorter is faster.
How to read these tables
The table above lists the seven fastest brokers for which we could find a published execution-speed figure. These come from two kinds of source. Some are third-party measured by the independent AlgoTest Broker Speedtest (a live tool that fires real orders and records place-order latency, refreshed every 15 minutes). The rest are self-reported by the brokers themselves - Arrow, Sahi, Fyers, Dhan, Groww and Pocketful each publish a figure on their own site. The second table lower down holds every other broker we track: a few with a slower measured figure, and the majority with no verifiable figure at all, shown as Not Disclosed.
The AlgoTest medians are consistent with the raw 15-minute place-order measurements we reviewed for this update (Zerodha ≈ 80 ms, Kotak ≈ 80 ms, 5paisa ≈ 85 ms, IIFL ≈ 95 ms, Angel One ≈ 95 ms, Upstox ≈ 135 ms, Finvasia/Shoonya ≈ 140 ms) and are third-party measured round-trips. The self-reported figures are not directly comparable, either to those medians or to each other, because they measure different things: Arrow (95% under 2.9 ms) times orders placed from the AWS Mumbai region; Sahi (P95 6.61 ms) and Fyers (p99 under 7 ms) time their own internal EMS/processing path rather than a full client round-trip; Dhan (95% under 25 ms) measures order-to-exchange; and Groww (“sub-50ms”) and Pocketful (“under 50 ms”) publish no methodology at all. Only Fyers says it has had its figure independently audited. Treat every self-reported number as indicative marketing rather than an apples-to-apples benchmark.
What actually determines execution speed
Beyond the broker's order-management and risk-management systems, execution time depends on server location and co-location, whether the platform uses WebSocket or REST connections, the broker's network capacity under load, your own internet connection and device, market volatility, and the order type - market orders confirm faster than complex conditional orders. Two traders at the same broker can see meaningfully different latencies.
Broker-by-broker: what is published
1. Sahi: P95 < 6.61 ms · mean ≈ 5.9 ms
Sahi is a new, SEBI-registered trading platform aimed at active F&O and intraday traders, founded by ex-Swiggy and ex-Kotak Securities leaders. It charges a flat ₹10-or-0.05% per order (₹10 flat on F&O), with zero account opening and zero AMC, and bundles in-house Sahi charts and AI-based market intelligence. A public trading API is on its roadmap but not live at review time, so the API field is shown as Not Disclosed. Sahi does publish an order-execution figure on its own blog - a P95 latency of 6.61 ms and a mean end-to-end time of about 5.92 ms, measured from its EMS to the exchange across 9,089,472 real orders (13-30 March 2026) - which we show as self-reported rather than independently audited. Because it measures an internal EMS-to-exchange path rather than the full round-trip the AlgoTest speedtest records, it is not directly comparable to the median figures for the other brokers. Full Sahi profile →
2. Fyers: p99 < 7 ms (processing, self-reported)
Fyers is a Bengaluru-based discount broker popular with technical and algorithmic traders. Its platforms are built around TradingView charting, its API is free, and equity delivery carries no brokerage - a combination that shows up repeatedly in third-party "best for traders" lists. Fyers reports p99 order-processing latency of 4-5 ms on its app/web and 5-7 ms via API - about 7 ms of the roughly 65 ms a trader typically experiences, with the remainder being network travel - and says a CISA-certified independent firm audited the figure against real customer orders in December 2025. Because it measures the broker’s internal processing rather than a full round-trip, it is not directly comparable to the AlgoTest medians. Full Fyers profile →
3. Dhan: 95% < 25 ms (DEXT, self-reported)
Dhan, operated by Moneylicious Securities, is a newer Mumbai-based discount broker aimed squarely at active traders. It differentiates on tooling - deep TradingView integration, an options-specific app, and the free DhanHQ API - while matching the free-delivery, flat-fee pricing of the largest discount brokers. Dhan reports on its own blog that its in-house DEXT engine executes over 95% of orders in under 25 ms (most in the 10-20 ms range), measured end-to-end from order placement to exchange submission - a self-reported figure we show as such rather than independently audited. Full Dhan profile →
4. Arrow: 95% < 2.9 ms · 99% < 4 ms
Arrow is a low-latency retail broker (the retail platform of iRage Broking) that markets itself on order-execution speed, stating on its website that 95% of its orders execute in under 2.9 ms and 99% in under 4 ms - figures it self-reports, measured by placing orders from the AWS Mumbai region. It offers free equity delivery, flat ₹20-or-0.03% intraday and ₹20-per-order options pricing, zero account-opening and AMC charges for individuals, and Python/Go API clients. Because these speed figures are self-reported rather than independently audited, we label them accordingly. Full Arrow profile →
5. Groww: < 50 ms (self-reported)
Groww is a Bengaluru-based investment platform that grew from mutual-fund distribution into full-service discount broking. Published NSE active-client data has placed it at or near the top of Indian brokers by user count. Its focus is simplicity for first-time investors rather than professional trading tooling. On execution speed, Groww states on its own site that the platform now supports “sub-50ms order latency” - a self-reported figure with no published percentile or methodology, which we show as self-reported rather than independently audited. Full Groww profile →
6. Pocketful: < 50 ms (self-reported)
Pocketful is a New Delhi-based broking platform from the Pace group offering free APIs aimed at algo traders. It publishes free equity delivery (with a ₹0.01 minimum per order), flat ₹20-or-0.03% intraday and flat ₹20 F&O pricing, and zero account-opening and AMC charges. On execution speed, Pocketful states on its own blog that it “executes orders in under 50 ms” - a self-reported figure with no published percentile or methodology, appearing in a self-published ranking, which we show as self-reported rather than independently audited. It does not appear in the AlgoTest Broker Speedtest we cite for round-trip medians. Full Pocketful profile →
7. Zerodha: ≈ 80 ms (median)
Zerodha is a Bengaluru-based discount broker and, by published NSE active-client counts, the largest retail stockbroker in India. Its pricing model - free equity delivery and a flat fee of up to ₹20 per executed order for intraday and derivatives - set the template most Indian discount brokers now follow. Its Kite platform and the Kite Connect API are frequently cited in third-party comparisons for reliability and developer support. Full Zerodha profile →
8. Kotak Neo (Kotak Securities): ≈ 80 ms (median)
Kotak Neo is Kotak Securities’ modern trading platform, pairing a bank-backed full-service brokerage with discount-style flat-fee plans and a free trade API. It targets both traditional Kotak banking customers and younger flat-fee traders. Full Kotak Neo (Kotak Securities) profile →
9. 5paisa: ≈ 85 ms (median)
5paisa, part of the IIFL group and listed on Indian exchanges, was one of the earliest flat-fee discount brokers in India. It charges a uniform ₹20 per order across segments and layers optional subscription packs for research and higher-touch features. Its execution-speed figure here (median ≈ 85 ms) is taken from the independent AlgoTest Broker Speedtest, where its place-order latency is measured live during market hours. Full 5paisa profile →
10. Angel One: ≈ 95 ms (median)
Angel One (formerly Angel Broking) is a listed Mumbai brokerage that converted from traditional full-service pricing to a flat-fee model while keeping its research desk. Its free SmartAPI is one of the most-used retail trading APIs in India for algorithmic strategies. Its execution-speed figure here (median ≈ 95 ms) is taken from the independent AlgoTest Broker Speedtest, where its place-order latency is measured live during market hours. Full Angel One profile →
11. IIFL Securities: ≈ 95 ms (median)
IIFL Securities (IIFL Capital) is a long-established Indian full-service broker offering equity, derivatives, commodity and currency trading with in-house research and a free trading API for its customers. Its execution-speed figure here is taken from the AlgoTest Broker Speedtest, where it is measured as IIFLNest. Delivery and intraday brokerage are percentage- and plan-based, so they are shown against the official rate card rather than a single flat number. Full IIFL Securities profile →
12. Upstox: ≈ 135 ms (median)
Upstox is a Mumbai-based discount broker backed by, among others, Ratan Tata and Tiger Global. It pairs a flat-fee pricing model with a mobile-first platform and a free public API. Its execution-speed figure here (median ≈ 135 ms) is taken from the independent AlgoTest Broker Speedtest. Upstox separately markets "sub-millisecond" latency, but that refers to its internal datastore rather than a full place-order round-trip, so we cite the third-party measured figure instead. Full Upstox profile →
13. Shoonya (Finvasia): ≈ 140 ms (median)
Shoonya, by Chandigarh-based Finvasia, advertises zero brokerage across every segment - traders still pay statutory charges (STT, exchange fees, GST, stamp duty). Combined with a free API and zero AMC, it is the lowest headline-cost broker in this comparison. Its execution-speed figure is taken from the AlgoTest Broker Speedtest, where it is listed under the Finvasia name. Full Shoonya (Finvasia) profile →
All other tracked brokers
This table holds every broker outside the top seven. The first rows are brokers with a published figure that simply ranks slower - all third-party measured by the AlgoTest Broker Speedtest. The rest publish no execution-speed figure we could verify (we searched official sites, blogs and the AlgoTest Broker Speedtest), so we show them as Not Disclosed rather than assign invented milliseconds. Some market vague speed claims - for example ICICI Direct mentions “milliseconds” without a verifiable figure - which we deliberately do not rank. This is not a judgement on their actual speed; several are among India's largest and most technically capable brokers. If a verifiable figure appears for any of them, it will be added on the next review.
| S.No | Broker | Reported execution speed | Source |
|---|---|---|---|
| 1 | Kotak Neo (Kotak Securities) | ≈ 80 ms (median) | AlgoTest Broker Speedtest |
| 2 | 5paisa | ≈ 85 ms (median) | AlgoTest Broker Speedtest |
| 3 | Angel One | ≈ 95 ms (median) | AlgoTest Broker Speedtest |
| 4 | IIFL Securities | ≈ 95 ms (median) | AlgoTest Broker Speedtest |
| 5 | Upstox | ≈ 135 ms (median) | AlgoTest Broker Speedtest |
| 6 | Shoonya (Finvasia) | ≈ 140 ms (median) | AlgoTest Broker Speedtest |
| - | Alice Blue | Not Disclosed | No published figure found |
| - | ICICI Direct | Not Disclosed | No published figure found |
| - | Paytm Money | Not Disclosed | No published figure found |
Figures are approximate, as published by the cited source (9 July 2026 review), and vary with device, network and market conditions. They are broker- or publisher-reported, not independently audited by this site. Brokers marked Not Disclosed had no published execution-speed figure on their official website or in the AlgoTest Broker Speedtest at review time. Bar length is proportional to the midpoint of the reported range; shorter is faster.
Conclusion
On published data alone, the ranking above is the most defensible answer available to "which Indian broker is fastest" - and it is a thin answer, resting on approximate, unaudited figures. If execution speed is critical to your strategy, test it yourself with small live orders during the market conditions you actually trade in, and weigh stability during volatile sessions at least as heavily as headline milliseconds.
Frequently asked questions
Which is the fastest broker in India by published order execution speed?
The lowest raw numbers are all self-reported on the brokers’ own sites — Arrow (95% of orders under 2.9 ms), Sahi (P95 of 6.61 ms), Fyers (p99 under 7 ms) and Dhan (95% under 25 ms) — but each measures a different thing (order placement from AWS Mumbai, an internal EMS/processing path, or order-to-exchange), so they are not comparable to one another or to third-party numbers, and only Fyers says its figure was independently audited. Among independently measured brokers in the AlgoTest Broker Speedtest, the fastest sit around 80 ms (median round-trip). Because self-reported and third-party figures use different methodologies, a single definitive "fastest" broker cannot be declared from public data.
Why are only a few brokers on this list?
The top table shows the seven fastest brokers with a published execution-speed figure — some measured by the independent AlgoTest Broker Speedtest, plus self-reported figures from Arrow, Sahi, Fyers, Dhan, Groww and Pocketful. A second table lists every remaining broker, whether it has a slower measured figure (Zerodha, Kotak, 5paisa, IIFL, Angel One, Upstox, Finvasia) or no verifiable figure at all. Many Indian brokers publish no comparable latency figure, so rather than invent numbers we show them as Not Disclosed. They still appear in our other comparisons.
How is order execution speed measured?
It is typically the time from order submission to exchange confirmation, measured in milliseconds. Published figures rarely state their exact methodology (order type, market conditions, network path, percentile used), which is one reason self-reported numbers should be treated as indicative rather than comparable benchmarks.
Does a faster broker guarantee better trading results?
No. Lower latency can reduce slippage for intraday and options traders, but fill quality, platform stability during volatile sessions, costs and risk management matter as much or more. A few milliseconds rarely decide outcomes for retail delivery investors.
Are these speed figures independently verified?
Mostly not. The AlgoTest figures are third-party measured but are approximations that vary with device performance, internet speed and market activity. The self-reported figures (Arrow, Sahi, Fyers, Dhan, Groww, Pocketful) are the brokers’ own numbers; of these, only Fyers states that a CISA-certified independent firm audited its figure, and even that measures internal processing rather than a full round-trip. Indian Broker Test has not run its own latency benchmark; if we do in future, the methodology will be published in full.
Sources
- AlgoTest Broker Speedtest - https://openbroker.in/ (Independent, live place-order latency measured by AlgoTest and refreshed every 15 minutes during market hours. The figure shown is the median of AlgoTest’s 15-minute measurement windows; latency varies with network path and market conditions.)
- Arrow - official website - https://arrow.trade (Self-reported by the broker on its own website, measured by placing orders from the AWS Mumbai region. Not independently audited.)
- Sahi - official blog - https://www.sahi.com/blogs/lightning-fast-order-execution-fno-trading (Self-reported by the broker on its own blog: a P95 latency of 6.61 ms and a mean end-to-end time of ≈ 5.92 ms, measured from Sahi’s EMS to the exchange across 9,089,472 real orders (13–30 March 2026). This measures the broker’s internal EMS-to-exchange path rather than a full client round-trip, and is not independently audited. It is therefore not directly comparable to the AlgoTest round-trip medians.)
- Fyers - official blog - https://fyers.in/community/blogs-gdppin8d/post/the-hidden-cost-of-milliseconds-how-we-optimised-your-order-execution-gmWa5Hnr1rhb6tw (Self-reported by Fyers, which states p99 order-processing latency of 4–5 ms on its app/web and 5–7 ms via API (about 7 ms of the ≈ 65 ms a trader typically sees; the rest is network travel). Fyers says a CISA-certified independent firm audited its order processing against real customer orders in December 2025 (load test: 1.2 ms average, p95 < 7 ms, p99 < 13 ms). This measures the broker’s internal processing rather than a full round-trip and is not directly comparable to the AlgoTest medians.)
- Dhan - official blog - https://dhan.co/blog/trading-strategies/low-latency-trading-with-dhans-high-speed-in-house-infrastructure/ (Self-reported by Dhan for its in-house DEXT engine: over 95% of orders executed in under 25 ms (most in the 10–20 ms range), measured end-to-end from order placement to exchange submission. Self-reported, not independently audited.)
- Groww - official update - https://groww.in/updates/bracket-orders-on-groww (Self-reported by Groww, which states the platform now supports “sub-50ms order latency”. No percentile, sample size or methodology is published, and it is not independently audited.)
- Pocketful - official blog - https://www.pocketful.in/blog/trading/best-fast-order-execution-brokers/ (Self-reported by Pocketful on its own blog, which states it “executes orders in under 50 ms”. No percentile, sample size or methodology is published, it appears in a self-published ranking, and it is not independently audited.)
- Official broker websites and pricing pages (linked in each broker profile) - https://www.indianbrokertest.com/brokers/