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A Hizz strategy is a versioned set of deterministic rules: signal filters, entry conditions, risk controls, sizing, allowed sides, and an execution-cost assumption. The backtester and deployed agent compile the same definition, so the live agent does not replace the strategy with an opaque chat response.

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Published strategy catalog

Micro Trail is deliberately fast and fee-sensitive. It is useful for checking the arm → run → open → manage → close pipeline, not evidence of a durable long-term edge. Tight stops can churn in a ranging market.

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How the strategy blocks work

Indicators define when a market is eligible and when an entry triggers. Examples include EMA separation, RSI regime limits, MACD confirmation, and a chop guard that rejects flat conditions.
Each strategy defines its initial stop and any take-profit, trailing stop, reversal, or maximum-hold exit. These are strategy controls, not guarantees against gaps, slippage, liquidation, or API failure.
Allocation is USD margin per trade. Notional is allocation multiplied by leverage, so both fee dollars and market exposure scale with leverage.
The current built-in backtests model 13bps per fill. Live accounting replaces that estimate with the actual Strike fee and the Hizz builder fee attached to each fill.

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Reading a backtest

The strategy detail page reports return, trade count, win rate, maximum drawdown, Sharpe ratio, and the historical equity curve. Use them together:
  • Return without drawdown can hide an unacceptable path to the result
  • Win rate says nothing about the size of wins versus losses
  • Trade count matters because a tiny sample is easy to over-interpret
  • Sharpe summarizes historical risk-adjusted consistency, not future safety
  • Fee assumptions must be close to the fills you expect in live mode
Backtests are recalculated from the current strategy definition and market series. They are historical simulations, not a promise that the same fills, slippage, liquidity, funding, or return will occur live.

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Create a private AI strategy

Open My Strategy → Create AI strategy and describe the market, direction, clock, signal, exits, size, and leverage you want. If you omit risk rules, Hizz adds conservative defaults for review. A useful prompt is specific:
Always inspect the compiled rules and backtest before choosing Deploy.

Write your own strategy

Follow a complete JSON authoring, validation, graph inspection, and testing tutorial.

Strategy examples

Read and copy breakout, mean-reversion, and trend-following JSON.

AI Trading API

Let Codex or another AI discover, inspect, validate, and backtest strategies.

Trading modules

Review every approved block, parameter schema, and connection port.

Strategy template

Start from a complete, runnable declarative JSON file.