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Arthalab vs Quantman: Two Approaches to Options Automation

Both automate rule-based options strategies on Indian indices. Where they overlap almost completely, the handful of differences that actually decide the choice, and how to trial them fairly.

Arthalab6 min read
These two are closer than most comparisons on this site. Both automate rule-based options strategies on Indian indices, both backtest, both deploy to your own broker account. The differences are in packaging rather than in kind, which makes the choice narrower and more practical.
Written by Arthalab. The figures given for Arthalab are ours to state; anything about another platform is worth checking at source, which is why those rows are marked.

Where they overlap

Worth establishing first, because it is most of the product and it removes a lot of noise from the decision.
  • Rule-based options strategies defined without code.
  • Multi-leg structures with per-leg risk settings.
  • Backtesting against historical data.
  • Deployment to your own broker account — neither holds your funds.
  • The same broker-imposed requirements — a registered IP and a daily login.

Where the differences sit

ArthalabWhat to verify independently
Pricing modelOne plan, ₹599 against ₹1,499 list, plus 18% GST, 30 daysTheir current pricing page
Static IPIncluded in the planWhether theirs bundles one
MarketsNIFTY and SENSEX index optionsTheir instrument coverage
Backtests10 per day, failed runs refundedTheir limit and whether failures are charged
Simultaneous strategies3, paper bots included in the countTheir limit, and whether paper counts
Analyst strategiesSEBI-registered RA strategies, no extra fee, no profit shareWhether theirs charges separately
Free trial3 days, full access, once per accountTheir trial terms
The right-hand column is the honest part of this page. Arthalab's figures are ours to state; theirs are theirs, and they change.

The three questions that usually decide it

1. What does the whole setup cost?

Not the subscription — the setup. Add a static IP wherever it is not bundled, confirm which tier permits live deployment, and check for per-strategy fees or profit sharing.
A lower headline price with an unbundled IP frequently costs more per month than a higher one with it included.

2. Can it express your exact strategy?

Both support multi-leg structures with per-leg rules, so most strategies build on either. The edge cases differ, and the only reliable test is building your actual strategy during a trial rather than a simplified version.

3. What happens on a bad day?

This is where platforms separate most and advertise least. The questions worth asking both:
  • What happens if one leg of a multi-leg order is rejected?
  • Do the logs record decisions, or only completed trades?
  • Is the broker's raw error message preserved?
  • Is there a kill switch that stops all order placement?
  • What happens to a running bot after market close?
A rejected leg is not rare, and a platform that cannot answer the first question has not thought about the case that costs you most.

What Arthalab does on those five

For transparency, since the questions are only useful with an answer to compare against.
QuestionAnswer
Leg rejectedA configurable square-off-all-legs rule closes the rest
LogsEvery evaluation recorded, including days with no trade
Broker errorsPreserved verbatim, not replaced with a generic message
Kill switchA force stop that blocks all order placement for the account
After closeBots switch off; the scheduler can auto-start them next session

Trialling both fairly

1

Build one real strategy on each

The same one, with its actual legs and risk rules. Differences then reflect the platforms rather than the strategy.
2

Backtest the same date range

Default ranges differ, and a different period produces a different answer for reasons unrelated to quality.
3

Deliberately cause a rejection

Place something you know will fail and read the logs. This separates platforms faster than any feature list.
4

Run the morning routine for a week

You are testing whether it fits your day, not whether the software works.
5

Price the full setup on both

Including the tier that allows live deployment and an IP where not bundled.

When a different category fits better

Both are options-focused platforms for Indian indices. If your strategy is something else, neither fits.
  • Equities or a stock universe scan — an indicator-and-scan platform suits better.
  • Cross-asset or arbitrary conditional logic — a general rule engine is the right category.
  • Discretionary one-off positions — an analytics tool rather than an automation platform.

The short version

  • The overlap is most of the product — decide on the differences
  • Price the whole setup, including a static IP wherever it is not bundled
  • Build your real strategy during the trial, not a simplified one
  • Ask what happens when a leg is rejected — the answer is revealing
  • If your strategy is not index options, neither platform is the right category

Frequently asked questions

They overlap substantially — both automate rule-based options strategies on Indian indices. The decision usually comes down to total setup cost, whether your exact strategy builds on either, and how each behaves when something goes wrong.

Arthalab is ₹599 plus GST for 30 days with a static IP included. For their current pricing, check their own page — and add an IP to whichever side does not bundle one before comparing.

Yes, with per-leg risk settings. The edge cases differ, which is why building your actual strategy during a trial matters more than reading a feature list.

Neither. Orders go to your own broker account and your funds stay with your broker throughout.

Your real strategy, the same backtest range on both, and a deliberate rejection so you can read the logs. That last test separates platforms faster than anything else.

Yes, with separate strategies. What to avoid is two platforms placing orders into the same broker account without knowledge of each other.

Yes, on the self-serve brokers — that requirement comes from the broker, not the platform. On Arthalab, XTS is the exception, as its session is renewed server-side.

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Arthalab vs Quantman: Two Approaches to Options Automation | Arthalab — Algo Trading India