Ritiksuman07

Ritiksuman07 / quant-whisper

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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.

algorithmic-trading bubbletea fintech go golang
15
3
89% credibility
Found Apr 26, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Go
AI Summary

Quant Whisperer is a terminal-based AI-driven tool for simulating and executing algorithmic trades with risk controls, broker support, and performance tracking.

How It Works

1
📈 Discover Quant Whisperer

You hear about a smart local tool that uses AI to help practice and run trading strategies right on your computer.

2
⚙️ Start a pretend trading session

Pick a stock symbol, add a simple strategy idea like 'buy on dips', and set your fake starting money to begin simulating trades safely.

3
🤖 AI makes trading decisions

Watch the AI study price changes and your strategy to suggest buy, sell, or hold with reasons and confidence levels.

4
📊 Check the colorful dashboard

See live updates on market prices, your fake portfolio balance, trades taken, and safety limits to avoid big losses.

5
Choose next path
🧪
Stay in practice mode

Run more simulations to test ideas and build skills without risk.

💰
Switch to real trades

Connect your real trading account for live action with built-in guards.

🎉 Review your trading story

Enjoy seeing your full history of AI decisions, trades, and profits in easy logs, feeling like a pro trader.

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Star Growth

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AI-Generated Review

What is quant-whisper?

Quant-whisper runs a local algo trading engine straight from your terminal, feeding synthetic or live market ticks into Ollama-powered LLMs for BUY/SELL/HOLD decisions in strict JSON format. Built in Go with a Bubble Tea TUI dashboard, it supports paper trading simulations and live execution via broker adapters like Zerodha, Dhan, and Interactive Brokers, all stored in SQLite with zero cloud dependency. It's a hedge fund on your machine—bring your own broker credentials and strategy text files for instant quant experiments.

Why is it gaining traction?

No API keys leak to clouds, local LLM inference keeps data private, and built-in risk walls (drawdown kills, confidence gates, trade rate limits) prevent blowups during tests. The CLI fires up in seconds with `go run . paper --symbol NIFTY50`, and the live TUI shows P&L, ticks, and trades in real-time—perfect for github ai hedge or whisper quant prototyping without vendor lock-in. Devs dig the BYOB setup for custom hedge fund ai workflows.

Who should use this?

Retail algo traders on Zerodha/Dhan testing LLM-driven signals, quant hobbyists building personal github hedge calculator tools, or hedge fund traders simulating strategies offline. Ideal for Indian market devs eyeing NIFTY50 edges or anyone prototyping hedge agents github-style without cloud bills.

Verdict

Worth cloning for paper trading LLM ideas—quickstart and TUI nail usability despite 15 stars and 0.9% credibility score signaling early maturity. Add tests for live confidence; solid base for local hedge fund manager experiments.

(198 words)

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