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Live HL data → in-browser TA → 4-agent committee → LONG/SHORT/SKIP verdict. Terminal grid command bar + interactive agent-workflow graph. Paper-trading worker reuses the browser brain (dry-run + Telegram). Forgejo static deploy. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
23 lines
993 B
Text
23 lines
993 B
Text
# Copy to .env.local and fill in.
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# FactsAI deep-research API key (https://factsai.org/docs).
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# WARNING: with a static build this is baked into the client JS and visible to anyone.
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# For production, leave KEY empty and set PROXY to a tiny serverless function that injects
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# the key server-side and adds CORS headers — that hides the key and avoids browser CORS.
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VITE_FACTSAI_KEY=
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VITE_FACTSAI_PROXY=
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# ── Paper-trading worker (worker/, run with `pnpm worker`) ──────────────────────
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# All optional — the worker runs in dry-run paper mode with sane defaults if unset.
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# Telegram: create a bot via @BotFather for the token; get your chat id from @userinfobot.
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# Leave both empty to run head-less (signals/fills print to stdout instead).
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TELEGRAM_BOT_TOKEN=
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TELEGRAM_CHAT_ID=
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# Universe + cadence
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QUANT_COINS=BTC,ETH,SOL
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QUANT_INTERVAL=1h
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QUANT_POLL_MS=60000
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# Paper risk model
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QUANT_EQUITY_START=10000
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QUANT_LEVERAGE=5
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QUANT_CONF_FLOOR=0.55
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