Unlike manual signal channels, NEXUS Core is a fully automated AI trading engine for Gold. It uses a Triple-Brain ML architecture (2x Random Forest + a self-learning Logistic Regression Veto Layer) to run 8 auto-rotating quantitative strategies based on live volatility. Key differentiators: • Self-learning Veto Layer blocks losing trades before entry. • 8 strategies rotate dynamically. • Real-time web dashboard showing live balance, equity, and performance.
Hey Product Hunt! 👋
I'm the creator of NEXUS Core.
Over the last few months, I got tired of seeing retail traders lose money using basic indicator-based trading bots (like simple MACD/RSI crossings) that blow up accounts the moment market conditions change.
I wanted to build something that executes like an institutional desk: multi-strategy, risk-managed, and powered by machine learning.
NEXUS Core runs 8 different strategy engines (from SMC Order Blocks to Mean Reversion) and uses a Triple-Brain ML filter. The most unique part is the "Veto Layer" — a self-learning Logistic Regression model that screens incoming signals and blocks them if the historical odds of winning are too low. It also comes with a live-syncing Supabase dashboard to watch trades in real-time.
I’m launching this to give traders a robust execution platform that they can use to trade their own accounts or pass prop-firm challenges (using the built-in drawdown guards).
Would love to hear your thoughts, feedback, and answer any questions you have! Let me know what you think.
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how does the self learning veto layer actually improve over time, like does it retrain on every trade or on a schedule?
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how does the self learning veto layer actually improve over time, like does it retrain on every trade or on a schedule?