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Ported my own Python trading bot into an MQL5 Expert Advisor for MetaTrader 5 ⚙️
It runs two switchable strategies, BBMA and an MA crossover, and only checks signals on closed candles. It also has duplicate-order protection. Backtested on XAUUSD M15 over 12 months.
Need your trading rules turned into an EA? Send me a message.
#MQL5 #MetaTrader5 #AlgoTrading #ExpertAdvisor #Forex
closed-candle only signals is the right call,, so many bots repaint and lie in the backtest
Thanks, Benjamin. Waiting for that candle to close is the only way to make sure the signal doesn't just vanish mid bar.
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Built with @Base44 for the #Base44Challenge
There's a lot to appreciate in this piece. Great job!
Stratoscope: SEO and AI Search Checker Built on Next.js
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Project AIR is an open-source toolkit that keeps a tamper-proof record of what AI agents do. Every action an agent takes gets signed, chained to the step before it, and tied to the person who authorized it. The chain is anchored to Sigstore Rekor, a public transparency log, so anyone can check later that nothing was changed or deleted. When something goes wrong, you can show exactly what happened and who approved it, instead of just saying it happened.
It also runs 16 detectors over every record, covering all ten risks on the OWASP Top 10 for Agentic Applications, three from the OWASP list for LLM apps, and three of its own. It can stop an agent mid-action until a person signs off. It plugs into LangChain, LlamaIndex, and the OpenAI, Anthropic and Gemini SDKs with a line or two of code.
I built the Python library and command-line tool, published on PyPI as projectair (now at version 1.3.1) under the Apache 2.0 license, plus the website and dashboard in SvelteKit. We run it on our own infrastructure too: every request to vindicara.io is recorded and anchored to Rekor every minute.
Impressive work! 👏 Excellent approach to AI agent security, tamper-proof audit trails, and human oversight for more trustworthy AI systems.