quant-whisper
Unverified Other strategy on Multi by Ritiksuman07. BotFinder score 18 out of 100.
A hedge fund on your local machine. Terminal-native algo trading engine in Go with local LLM inference (Ollama), Bubble Tea TUI, paper/live trading, and zero cloud dependency. BYOB
Source: github
BotFinder analysis pending.
quant-whisper
# Quant Whisperer Terminal-native algorithmic trading execution engine built in Go with local-first AI inference, deterministic execution controls, and SQLite-backed paper/live trade history. Tagline: "A hedge fund on your local machine. BYOB." What Is Implemented - P0 core loop with paper trading simulator. - Broker adapter normalization layer for zerodha, dhan, and ib payload shapes. - Local LLM processing via Ollama (qwen3:0.8b default). - Strict JSON decision protocol: - SQLite persistence for: - decisions - papertrades - livetrades - pnlhistory - P1 execution wall for live trading: - confidence threshold gate - max daily drawdown kill-switch - max trades/minute limiter - hard position size cap - Bubble Tea live dashboard with broker status, ticker stream, confidence, trades, and P&L. - P2 strategy injection from plain text files. - Optional cloud fallback (OpenAI / Anthropic / DeepSeek) when local inference is unavailable. Important Implementation Note The current broker adapters include schema normalization and deterministic order flow hooks, while market data/order execution
⚠ No verified equity curve — no track-record source connected.
Drawdown profile
Data unavailable — contact the owner.
Verification ledger
How the score has moved
Recalculated at each data collection. Transparency means showing the bad weeks too.
No score history is stored yet — only the current score is shown.
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Alerts on changes: coming soon
Prop-firm compatibility not provided.
Open-source maintainer on GitHub.
Data-completeness & trust index (not a profitability rating)