OpenWhale

The programmable layer for composable, AI-native economic strategies

中文说明 →

OpenWhale is a TypeScript framework for automated trading strategies. Monitors collect, Strategies decide, Executors act; the three are decoupled, so one strategy runs on any venue and against any data source, and can be written, audited and evolved by an AI.

Quick start

Development mode with hot reload. For a server see DEPLOYMENT.md.

Prerequisites: Node.js ≥ 20, pnpm ≥ 9 (npm i -g pnpm), git.

1. Clone and install

git clone https://github.com/OpenWhale-Org/OpenWhale.git
cd OpenWhale
pnpm install

2. Configure

cp .env.example .env

Edit .env — three variables are required on first boot:

OPENWHALE_MASTER_KEY=<random secret>     # encrypts stored credentials; generate with: openssl rand -hex 32
OPENWHALE_ADMIN_USER=admin               # first dashboard account
OPENWHALE_ADMIN_PASSWORD=<password>

The master key cannot be recovered — losing it means re-entering every API key. The admin variables create the first user; remove them after signing in. Everything else in .env.example is optional (ports, venue proxy, allowed origins).

3. Build and start

pnpm build
pnpm dev          # gateway on :3001, dashboard on :3000, both with hot reload

pnpm dev:gateway / pnpm dev:dashboard start one side only.

4. Sign in

Open http://localhost:3000 and sign in with the admin user. The dashboard offers a guided tour on first visit: a credential on the Hyperliquid testnet, an account, a copy-trading instance — no real funds.

5. Trade

Credentials → Accounts → Strategies → New strategy. A strategy instance binds params to accounts; activate it and follow it on Instances (live events, executions, runs, PnL).

Docker instead of steps 1–3:

cp .env.example .env         # same three variables
docker compose up -d --build

State lives in the openwhale-data volume; details in DEPLOYMENT.md.

The gateway holds the runtime and all secrets; the dashboard is a frontend that proxies /api/* to it (OPENWHALE_GATEWAY_URL, default http://localhost:3001).

Venue proxy

OPENWHALE_HTTPS_PROXY=http://127.0.0.1:7897        # REST + WebSocket, every venue
OPENWHALE_HTTPS_PROXY_BINANCEUSDM=off              # per venue: ccxt id upper-cased; `off` = direct

HTTPS_PROXY and NODE_USE_ENV_PROXY are not honoured — ccxt uses its own fetch. The variable is namespaced so that order traffic never changes route through an unrelated proxy setting.

Authentication

Enforced by the gateway: every /api/* route requires a session; the dashboard only carries the cookie. Sessions are opaque SQLite tokens (7-day expiry, revocable); passwords are scrypt-hashed; there are no roles. Before exposing the gateway: terminate TLS in front of it (the session cookie is Secure), keep port 3001 off the public internet, set OPENWHALE_ALLOWED_ORIGIN only for cross-origin frontends. Details in DEPLOYMENT.md.

Why OpenWhale

• Decoupled layers — Monitor → Strategy → Executor. Replace any layer without touching the others.
• Venue-agnostic — strategies declare account slots; the venue is resolved from the bound account at activation.
• Adapter matrix — venues are cells of a (kind × venue) matrix (exchange/perp × binance, …). Domain packages define kinds, venue packages fill cells; a data-driven ccxt roster ships twelve venues.
• AI as a programmer — structured-output LLM inference inside strategies, and a skills/openwhale-dev skill that teaches Claude the framework contract.
• Run tracing — every run persists what it saw, which gate refused, what it emitted. Survives restarts.
• PnL attribution — executors claim the orders they place; fills, fees and funding are joined back to the instance. Two instances on one account stay separable.
• Type-safe plugins — every component implements a strict TypeScript interface.

Core concepts

Monitor ──emit(key, data)──▶ TriggerManager ──StrategyContext──▶ Strategy ──ExecutionInstruction[]──▶ ExecutionQueue ──▶ Executor
                                                                     └─ run trace persisted

Dashboard

Code examples

A minimal strategy

const decls = {
  monitors: [{ name: 'exchange/ticker', label: 'price' }],
  executors: [{ name: 'exchange/perp-trading', label: 'perp' }],
  accounts: [{ account: PerpAccount, label: 'main' }],
} as const satisfies StrategyDeclarations

class MomentumStrategy extends BaseStrategy<typeof decls> {
  readonly strategyId = 'momentum'
  override readonly monitors = decls.monitors
  override readonly executors = decls.executors
  override readonly accounts = decls.accounts

  readonly baseParamsSchema = z.object({
    symbol: z.string().meta({ displayName: 'Symbol' }),
    threshold: z.number().meta({ displayName: 'Entry price' }),
  })

  async evaluate(context: StrategyContext) {
    const { symbol, threshold } = this.baseParamsSchema.parse(this.params.base)
    const tick = context.getData('price', `${this.accountVenue('main')}:${symbol}`)
    this.trace('tick:read', { tick })                    // recorded in the run trace
    if (!tick || tick.price < threshold) return []

    return [
      this.instruction('perp', 'placeOrder', {
        symbol, side: 'buy', type: 'market', amount: 0.01,
      }),
    ]
  }
}

Assembling the runtime

const runtime = new OpenWhaleRuntime({ database, credentialStore })
runtime.loadPlugin(binancePlugin, {})
runtime.loadPlugin(hyperliquidPlugin, {})
await runtime.start()
await runtime.activate({
  strategyId: 'my-plugin/momentum',
  credentials: { main: 'My Binance' },       // the account binding decides the venue
  params: { base: { symbol: 'BTC/USDT:USDT', threshold: 60000 } },
})

AI-driven strategy with structured output

async evaluate(context: StrategyContext) {
  const data = await this.monitorData('market')?.readLatest(this.accountVenue('main'))

  const { action, confidence } = await this.llm({
    messages: [{ role: 'user', content: JSON.stringify(data) }],
    schema: z.object({
      action: z.enum(['buy', 'sell', 'hold']),
      confidence: z.number(),
    }),
  })
  if (action === 'hold' || confidence < 0.7) return []

  return [
    this.instruction('perp', 'placeOrder', {
      symbol: 'BTC/USDC:USDC', side: action, type: 'market', amount: 0.01,
    }),
  ]
}

An operator script

export const planPreview: ScriptDefinition = {
  id: 'plan-preview',
  name: 'Plan preview',
  paramsSchema: z.object({ instance: z.string().default('') }),
  paramOptions: async (runtime) => ({ instance: await listMyInstances(runtime) }),
  run: async ({ params, runtime }) => ({ text: await renderPlan(runtime, params) }),
}

Plugins

A plugin is a package whose default export is a factory returning its registrations:

export default definePlugin((ctx) => ({
  name: 'my-plugin',
  version: '1.0.0',
  monit