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Stretus documentation

Build algorithmic trading strategies without writing code

Systematic trading works. The hard part was never the idea. It was the code, the infrastructure and the broker wiring standing between you and a live strategy.

Stretus clears all three. Describe what you want, let the AI build it, test it on real market data with real costs applied, and run it through the broker you already use - in a simulator first, and live only when you decide.

The lifecycle

Five steps, end to end

Every algorithmic strategy on Stretus follows the same path. Design it, validate the edge, allocate capital, execute in paper or live, then monitor in real time. No step requires writing code.

  1. 01

    Design

    Describe the idea. The AI assembles it.

  2. 02

    Validate

    Run it over real historical data.

  3. 03

    Allocate

    Give it its own slice of capital.

  4. 04

    Execute

    Paper simulator or live broker.

  5. 05

    Monitor

    P&L, positions, and risk in real time.


What you can do

Plain-language intent to governed execution

Conversational design

Build strategies by describing them

Type your intent in plain language. The AI resolves indicators, entry and exit conditions, stop-loss, take-profit, sizing, and trading windows into a structured, deployable strategy - no configuration screens.

See how it works ->
Backtest first, always

Test the rules on historical data before risking capital

Every strategy runs over real historical data with brokerage, slippage and statutory charges applied. You get return, Sharpe, max drawdown, win rate and a six-grade assessment. A backtest measures past behaviour - it does not predict future results.

Read backtest results ->
Paper and live - independent

Two paths, one strategy

Paper fills come from the in-platform simulator. Live routes to your broker or exchange. Both run at the same time if you want. Neither affects the other.

Deploy and monitor ->
Community

Run community-published strategies on your own account

Deploying a published strategy clones its rules into your account. Your capital, your broker, your risk limits - the author never sees your account and their later changes never reach your copy. Pause or stop anytime.

How community strategies work ->
Risk controls

Nine order gates, and you decide which are on

Every order passes a risk pipeline before it reaches your broker. Capital isolation is always enforced. Seven of the nine gates do nothing until you set a value - so read the risk section before you deploy.

How risk is enforced ->

Scope

What Stretus is, and is not

Stretus is

Execution and research technology. You author your own rules, allocate your own capital, and route orders through your own broker. Your money never leaves your broker or exchange account.

Stretus is not

Not a broker, not a custodian, not an investment adviser, and not a copy-trading or signal service. It will not tell you what to buy, and it does not assess whether any strategy suits you.

Risk

Trading involves the risk of loss, including total loss of the capital you allocate. Automation changes how fast you can lose money, not whether you can. Past performance does not indicate future results.

Read the risk disclosure ->

What Stretus is

A platform for building and running trading strategies

Stretus is a technology platform for creating, testing and executing algorithmic trading strategies you define yourself — without writing code. You describe a strategy in plain language; the platform turns it into a structured object with explicit indicators, entry and exit conditions, stop-loss, take-profit, position sizing and trading windows — see strategy anatomy for every field and its valid range. Nothing is a black box: you can read and change any part of what the AI produced.

Backtest figures are the result of your own strategy over past data. What a backtest can and cannot tell you covers where historical results mislead. The scope section above states plainly what Stretus is and is not.

Markets you can trade today

Indian equity cash on NSE and BSE, in INR with T+1 settlement, through Upstox — and crypto spot on Binance and Bybit, quoted in the quote asset and trading continuously. United States equity via Alpaca is built but pending activation, and several other markets have reference data without tradeable instruments yet. The markets reference lists every market, its broker, and whether it is available; session times and order-acceptance windows are in trading hours.

Who it is for

Systematic traders who know the edge they want to run and would rather not build the execution plumbing for it; quantitative developers who want backtesting and broker connectivity without maintaining either; and anyone moving a discretionary playbook onto rules that can be tested before capital is committed. If you write your own signals elsewhere, remote strategies run them through Stretus execution and monitoring while your logic stays private. New here? Start with account setup, or read the frequently asked questions.

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