WASM

A deterministic, Gymnasium-compatible backtest environment compiled to WebAssembly, for running rollouts directly in the browser (or any WASM host). The feature-tensor precompute runs sequentially here — byte-identical to the native parallel build — so a WASM rollout matches every other language binding.

npm install wickra-gym-wasm

import init, { Env } from "wickra-gym-wasm";

await init();

const spec = JSON.stringify({
  dataset_ref: "demo",
  symbol: "BTCUSDT",
  observation: { features: [{ kind: "price", field: "close" }] },
  action_space: { type: "discrete", n: 3 },
  reward: "pnl",
  episode: { max_steps: 256, warmup: 0 },
});

const candles = Array.from({ length: 300 }, (_, i) => ({
  ts: i, open: 100 + i, high: 100 + i, low: 100 + i, close: 100 + i,
}));

const env = new Env(spec);
env.command(JSON.stringify({ cmd: "load", candles }));
const reset = JSON.parse(env.command(JSON.stringify({ cmd: "reset", seed: 0 })));
const step = JSON.parse(env.command(JSON.stringify({ cmd: "step", action: 2 })));

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