Trade your plan. Not your nerves.

Build a strategy in minutes, or wire every leg by hand. Zetta tests it, rehearses it, then trades it while you sleep.

Two ways in. Both end at the same engine.

Most platforms pick a side. They are either a template gallery you cannot change, or a scripting environment you have to learn first. Zetta is one engine with two front doors, and you can walk between them.

New to this

Pick a structure, set two numbers, watch it run.

Twelve named strategies ship ready to go. Choose one, set how far out of the money you want to be and when to get out, and the platform fills in lot sizes, costs and margin for you. Run it on paper for as long as you like before any money is involved. Nothing to install, no code to write.

Been doing this a while

Open the editor and change anything.

Six legs, your own strikes, a different distance for every expiry, re-entry rules, per-deployment risk caps. Sweep thousands of parameter combinations over your own tick data and rank what comes back. Every default the template chose for you is a field you can override.

The hard part was never the analysis.

It is holding the plan at 2:40pm when the position is red and the exit is ten minutes away. An algorithm does not widen a stop because it feels unlucky, or skip an entry because yesterday hurt, or stay up watching a screen. It does the thing you decided when you were calm, every time, including overnight.

Decide once

While the market is closed

Entry, exit, stop, target, size, re-entry. Written down as rules, tested against two years of real candles, not remembered as intentions.

Rehearse

On live prices, with no money

The same engine and the same risk limits as live trading. The only thing that changes is the adapter underneath. Run it for a week or a quarter.

Hand it over

Through your own broker

It places the orders, watches the stops and squares off on schedule. You get a tradebook in the morning instead of a screen to sit in front of.

Three markets, one tradebook.

A short strangle and a buyback build-up have nothing in common except the account they settle into. Each module runs its own engine and its own execution rules. Every position lands in the same book.

Options

Short and long straddles and strangles, iron condors and butterflies, all four vertical spreads, naked calls and puts, plus a leg editor for anything else. Backtested candle by candle against your own historical data, not a vendor's summary.

What that buys you
  • A different strike for every expiry. 400 points out at 2 DTE, 150 at 1 DTE, 50 on expiry day. One strategy, three distances.
  • Sweep thousands of candidates and rank them, with costs and margin computed separately so neither hides the other.
  • Checked against the original research. Every engine change is compared trade for trade with the notebook it came from.

Event-driven

Every NSE corporate action, ranked by what the trade is actually worth: dividend yield on the market price, days left to take it, and a score you can open up and argue with.

What that buys you
  • Three feeds, not one. Board-meeting purposes, the announcement stream of roughly 575 filings a day, and dated corporate actions.
  • It reads the attachments. Most dividends are disclosed only inside the PDF, under titles like “General Updates”.
  • Timing weighted with size. A yield you can no longer establish is not an opportunity, and the score says so.

Futures

Index and stock futures on the same spine: the same backtest, the same paper mode, the same broker connections and the same position guards. Nothing about running a futures book is a separate code path.

What that buys you
  • Rollovers are modelled, not left for you to reconcile by hand at the end of a series.
  • Shared risk limits. Per-deployment caps, the ownership guard and the kill switch apply exactly as they do to options.

“Final Dividend 425% @ Rs. 8.50 per share.”

A real line from a market data app.

The 425% is a percentage of face value, a number with no bearing on any trade you could place. The share costs ₹2,215. The actual yield is 0.38%.

What the incumbents show

StockLTPDividend
APL Apollo2,215.008.50
KDDL3,991.908.00
Polyplex1,180.001.00
Skipper604.400.10

Four rows of a few hundred. You divide, by hand, to find the two that matter.

What Zetta shows

StockYieldTo exScore
APL Apollo0.38%0d4
KDDL0.20%0d2
Polyplex0.08%2d1
Skipper0.02%0d1

All four are untradeable, and the table says so in one glance. On a real day's feed, 5 of 201 upcoming actions cleared the bar.

Timing is weighted alongside size, deliberately. A 6% yield two days from the ex-date is mostly spent; a 4% yield fifteen days out is the trade. Rank on size alone and the table confidently recommends positions you can no longer establish.

Every number here carries its sample size.

Two years of NSE corporate actions, August 2024 to August 2026, across a universe screened to ₹500 cr market cap and ₹5 cr average daily turnover.

2,654events measured
22,524simulated trades
1,195symbols in universe
24months of data
RuleWindownWinAvg
Buyback build-uptender-offer grind into the record date ex-20 to ex-33977%+8.1%
High-yield dividendyield of 5% or better at intimation intimation to ex-11191%+12.4%
Split ridehalf size; the edge is real but thin ex-15 to ex-16769%+4.3%
Rights issuesnegative in every strategy and every phase not traded--avoid

How to read these

These are backtested results. Two of the strongest rules rest on small samples, n=39 and n=11, which is exactly why they appear with their sample sizes rather than as headline percentages.

The study spans one broad market regime, covering both a correction and a rally. Rights issues were negative in every strategy and every phase, so the platform refuses to execute them however well they would score.

Software left alone with your money should be described by its limits.

Handing execution to an algorithm only works if you know exactly what it is not allowed to do. These constraints are enforced in code, with tests that fail if anyone removes them.

It closes only what it opened.

Your broker account holds positions this platform did not put there: stock bought manually, options taken on a phone app. Every exit is derived from a position the platform itself recorded. Broker position lists are read, never used as a list of things to close.

It refuses to close what is not there.

If you square something off yourself, the platform's record is stale. Sending a buy to close a short that is already gone does not fail harmlessly. It opens a new position. So it checks, and refuses.

Paper cannot become live by accident.

A paper deployment is barred from a real broker connection at creation and again on every tick, because tomorrow's bad database row is a likelier enemy than today's mistake.

Margin comes from the exchange.

Not a stored constant. The platform asks your broker what the basket actually costs, hedge benefits included, and re-checks at the moment of entry against the strikes it is about to trade.

One switch stops everything.

A kill switch that squares off every position the platform opened, across options, futures and event deployments, paper and live, and touches nothing else in your account.

Nothing is ranked on a black box.

Every score traces back to inspectable inputs, and says in words why it scored that way. A ranking you cannot interrogate is a ranking you should not trade.

Questions worth asking first.

Do I need to know how to code?

No. The twelve named structures are forms, not scripts: pick one, set the distance from the money and the exit rules, and deploy. The leg editor adds control when you want it, and it is still a form. There is nothing to install and no language to learn.

Do you hold my money?

No. You trade through your own broker account: Zerodha, Dhan, Groww or AngelOne. Credentials are encrypted at rest and masked on every read. The platform places orders; it never custodies funds.

Is this a signal service or a robo-advisor?

Neither. It gives you no advice and makes no recommendations about your finances. It is a tool for building, testing and running your own strategies, and every number it shows traces back to inputs you can inspect.

What happens if my machine is off, or the internet drops?

The strategies run on the server, not in your browser, so closing the tab changes nothing. Orders are placed through your broker's API and live in your broker account, where they stay valid whether or not the platform is reachable.

Where does the market data come from?

Corporate actions and filings come from NSE directly, including the PDFs attached to board-meeting outcomes. Historical option data is your own: the platform reads local files and never uploads them. Live quotes come through your connected broker.

What does it cost?

Backtesting, the strategy builder, the event screener and paper trading are free to use. Brokerage and exchange charges are your broker's and are modelled in every backtest, so the numbers you see already account for them.

Decide it once. Let it do the rest.

Start with a backtest, move it to paper, connect a broker when the numbers have earned it. The engine never changes underneath you.