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Reddit — r/selfhostedr/selfhosted
Title: TradeClaw — open-source self-hosted trading research platform (Docker, MIT)
Hey r/selfhosted! I built TradeClaw, an open-source trading research platform with a Docker Compose setup. What it does: • Computes inspectable RSI/MACD/EMA/Bollinger rule labels from observed OHLCV • Excludes generated fallback candles from the public signal list • Runs historical simulations with disclosed assumptions • Provides a file-backed paper-trading simulator with virtual fills • Supports configured alert channels; entry-like fanout fails closed unless the evidence gate passes The repository includes Docker Compose and PostgreSQL configuration for self-hosting. The source is MIT licensed. Public performance pages describe OHLCV-resolved signal studies, not broker fills or customer portfolio returns. GitHub: https://github.com/naimkatiman/tradeclaw Live demo: https://tradeclaw.win Would love feedback from the self-hosting community!
Reddit — r/algotradingr/algotrading
Title: I open-sourced my multi-indicator confluence signal engine — TradeClaw [self-hosted, Docker, MIT]
I built TradeClaw to make trading-signal rules and their evidence inspectable. Signal logic: • Confluence scoring across RSI (14), MACD (12/26/9), EMA-20/50/200, Bollinger Bands • Rule-scored BUY/SELL candidates from closed OHLCV candles • Generated fallback candles are excluded from the public signal list • Historical simulations and forward OHLCV-resolved outcomes are kept distinct • Modeled fees/slippage are disclosed; neither study represents broker fills or a portfolio Tech stack: Next.js, PostgreSQL, and Node.js. Docker Compose is included. MIT licensed. 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.
Reddit — r/CryptoCurrencyr/CryptoCurrency
Title: TradeClaw — open-source crypto signal research with inspectable rules and evidence
Built an open-source trading research tool that computes rule-scored BTC, ETH, and other configured-asset signal candidates. Integrity boundaries: • Signal rules are visible in the repository • Generated market-data fallbacks do not enter the public signal list • Historical simulations are labeled and separate from forward signal outcomes • Paper trading uses virtual fills; it is not broker execution • Entry-like alerts fail closed unless the configured cost-adjusted evidence gate passes The repository includes Docker Compose for self-hosting. Or check the live demo: https://tradeclaw.win MIT licensed. Hosted-service terms, provider availability, and operating costs can change; verify them directly. Not financial advice — this is an open-source research and learning tool. GitHub: https://github.com/naimkatiman/tradeclaw
Hacker News — Show HN
Title: Show HN: TradeClaw - inspectable trading-signal research (Next.js, PostgreSQL, Docker)
TradeClaw is an open-source, self-hostable trading research platform built with Next.js, TypeScript, and PostgreSQL. It computes deterministic multi-indicator rule scores from OHLCV. Generated fallback candles are excluded from the public signal list. The repository exposes the calculation and outcome-resolution code for inspection. Ships with: - Historical simulations with stated assumptions - File-backed paper trading with virtual fills - Configurable alert channels with a fail-closed entry evidence gate - Public OHLCV-resolved signal evidence that is explicitly not broker or portfolio performance Docker Compose is included. The source is 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.
Twitter / X — 3 tweets
Tweet 1 — "Just open-sourced" angle: TradeClaw is open-source trading research software with inspectable RSI/MACD/EMA rules and Docker Compose. Signal evidence is OHLCV-resolved, not broker fills or portfolio performance. https://github.com/naimkatiman/tradeclaw --- Tweet 2 — Feature showcase: TradeClaw feature breakdown: → Deterministic indicator-rule scoring → Observed-data public signal list; generated fallbacks excluded → Historical simulations with stated assumptions → Virtual-fill paper trading → Entry-like alert fanout gated by cost-adjusted evidence → Docker Compose + PostgreSQL MIT-licensed source. https://github.com/naimkatiman/tradeclaw --- Tweet 3 — Star CTA: We're trying to reach 1,000 GitHub stars for TradeClaw 🌟 It is an open-source, self-hostable trading research platform with inspectable rules and evidence boundaries. If you trade or build trading tools, a star helps a lot: https://github.com/naimkatiman/tradeclaw
LinkedIn
I am sharing TradeClaw, an open-source, self-hostable trading research platform. The design goal is inspectability: the signal rules, data fallbacks, outcome resolver, modeled cost assumptions, and release gates are visible in the repository. Current boundaries matter: • Public signals use observed OHLCV; generated fallback candles are excluded • Recorded outcomes are resolved against subsequent OHLCV, not broker fills • Return and drawdown views are labeled simulations, not customer portfolios • Entry-like alert and execution paths fail closed unless a 90-day cost-adjusted evidence gate passes • The RoboForex TradFi execution bridge remains an interface scaffold The repository includes Docker Compose and PostgreSQL configuration. The source is MIT licensed. This is research software, not financial advice or proof of profitability. The public evidence and methodology can be inspected before making any claim. https://github.com/naimkatiman/tradeclaw
Discord
Hey! Just wanted to share an open-source project I've been working on — TradeClaw. It is a self-hostable trading research platform with deterministic RSI/MACD/EMA rule scoring, historical simulations, virtual-fill paper trading, and configurable alerts. The repository includes Docker Compose. The source is MIT licensed. Public evidence is an OHLCV-resolved signal study, not broker fills or portfolio returns. 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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Hacker News
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