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Title: TradeClaw — open-source self-hosted AI trading signal platform (RSI/MACD/EMA, Docker, MIT)
Hey r/selfhosted! I built TradeClaw — a fully self-hosted, open-source AI trading signal platform. No subscriptions, no black boxes. What it does: • Live buy/sell signals for 12 forex, crypto & metal pairs (5-minute cadence) • Multi-indicator confluence scoring (RSI, MACD, EMA-20/50/200, Bollinger Bands) • Full backtesting engine with Sharpe ratio, win rate & max drawdown • Paper trading simulator with live P&L tracking • Telegram bot for instant buy/sell notifications • Visual strategy builder + custom indicator plugin system Deploy: one command — `docker compose up`. Runs on a $5/month VPS or a Raspberry Pi. MIT licensed. No accounts required. The code is yours to audit, fork, and extend. GitHub: https://github.com/naimkatiman/tradeclaw Live demo: https://tradeclaw.win Would love feedback from the self-hosting community!
Title: I open-sourced my multi-indicator confluence signal engine — TradeClaw [self-hosted, Docker, MIT]
I got tired of paying $150+/month for signal platforms I couldn't audit, so I built TradeClaw. Signal logic: • Confluence scoring across RSI (14), MACD (12/26/9), EMA-20/50/200, Bollinger Bands • Each indicator votes BUY/SELL/NEUTRAL — final signal requires majority + minimum confidence threshold (default 55%) • 12 pairs: EURUSD, GBPUSD, USDJPY, XAUUSD, BTCUSD, ETHUSD + more • Backtesting engine with proper metrics: Sharpe ratio, profit factor, max drawdown, win rate Tech stack: Next.js, Redis, Node workers. Self-hosted. MIT. Not financial advice — this is a research/learning tool. GitHub: https://github.com/naimkatiman/tradeclaw Thoughts on the signal methodology? Happy to discuss the confluence scoring approach.
Title: TradeClaw — free open-source crypto signal platform with live BTC/ETH signals, paper trading & backtesting
Built an open-source crypto trading signal tool that generates live BUY/SELL signals for BTC, ETH, and 10 other pairs. Self-hosted, MIT license, completely free. What makes it different: • Live signals for BTCUSD, ETHUSD, XRPUSD, and 9 more pairs • No black boxes — you can see exactly how each signal is generated (RSI + MACD + EMA confluence) • Paper trading simulator so you can test strategies with zero risk • Full backtesting engine: Sharpe ratio, win rate, max drawdown, profit factor • Telegram bot sends alerts the moment a signal fires Deploy it yourself in 5 minutes: `docker compose up` Or check the live demo: https://tradeclaw.win MIT licensed. No subscription. You own your data. Not financial advice — this is an open-source research and learning tool. GitHub: https://github.com/naimkatiman/tradeclaw
Title: Show HN: TradeClaw – Self-hosted AI trading signals (RSI/MACD/EMA, backtesting, Docker)
TradeClaw is an open-source, self-hosted trading signal platform built with Next.js and TypeScript. It runs multi-indicator confluence scoring — RSI(14), MACD(12/26/9), EMA-20/50/200, and Bollinger Bands each cast a BUY/SELL/NEUTRAL vote across 12 forex, crypto, and metal pairs. A signal fires when a majority agrees and confidence clears a configurable threshold (default 55%). The signal engine is written from scratch (no TA library black boxes). Every calculation is auditable. Ships with: - Backtesting engine (Sharpe ratio, max drawdown, win rate, profit factor) - Paper trading simulator with live P&L - Telegram alerts bot - Visual strategy builder + custom indicator plugin system Deploy: `docker compose up` on any VPS. MIT licensed. GitHub: https://github.com/naimkatiman/tradeclaw Built this because I couldn't find a signal platform where I could actually see how the signals were generated and verify the math myself.
Tweet 1 — "Just open-sourced" angle: Just open-sourced TradeClaw — self-hosted AI trading signals, MIT licensed, free forever. RSI + MACD + EMA confluence scoring. Docker deploy in 5 min. https://github.com/naimkatiman/tradeclaw --- Tweet 2 — Feature showcase: TradeClaw feature breakdown: → 7 indicators (RSI, MACD, EMA×3, BB, Stoch) → 10+ assets: BTCUSD, ETHUSD, XAUUSD, EURUSD + more → Live signals + paper trading simulator → Backtesting with Sharpe ratio & drawdown → Telegram alerts bot → Docker deploy in 5 min Free. MIT. Self-hosted. https://github.com/naimkatiman/tradeclaw --- Tweet 3 — Star CTA: We're trying to reach 1,000 GitHub stars for TradeClaw 🌟 It's a free, open-source, self-hosted trading signal platform — RSI/MACD/EMA confluence, backtesting, paper trading, Telegram alerts. If you trade or build trading tools, a star helps a lot: https://github.com/naimkatiman/tradeclaw
Excited to share TradeClaw — an open-source, self-hosted AI trading signal platform I've been building. The problem: most trading signal tools are expensive black boxes ($50–$300/month) with no transparency into how signals are generated. TradeClaw solves this by being fully open-source and self-hosted. You deploy it on your own server and can inspect, modify, and extend every line of signal logic. Core features: • Multi-indicator confluence scoring (RSI, MACD, EMA, Bollinger Bands) • Backtesting engine with institutional-grade metrics • Paper trading simulator for risk-free strategy testing • Telegram bot for live trade alerts on the 5-minute cron • MIT licensed — no subscriptions, no lock-in If you're in fintech, algo trading, or just believe traders deserve transparent tools, I'd appreciate a look and a GitHub star. https://github.com/naimkatiman/tradeclaw
Hey! Just wanted to share an open-source project I've been working on — TradeClaw. It's a self-hosted AI trading signal platform — RSI/MACD/EMA confluence scoring, backtesting, paper trading, Telegram alerts. MIT licensed, free forever. Deploy it yourself in 5 min: `docker compose up` GitHub: https://github.com/naimkatiman/tradeclaw Demo: https://tradeclaw.win Would love feedback if any of you are into trading or self-hosting!
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