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RegimeForecastleft a comment
I built RegimeForecast because I kept watching solid strategies blow up in the wrong regime. The HMM-based regime classifier was the missing layer between signal and execution. Would love to hear how systematic traders here handle regime changes — and whether you lean on rules or models.
RegimeForecastKnow the market regime before you trade
Most trading strategies fail not from bad entries, but from running in the wrong market environment. RegimeForecast uses AI and Hidden Markov Models to classify the current market regime in real-time: trending, mean-reverting, or high-volatility. Get regime dashboards, alerts on regime changes, historical backtesting, and an API. Built for systematic traders, quant funds, and prop desks who want to adapt to market conditions instead of running static models that quietly bleed out.
RegimeForecastKnow the market regime before you trade
NewsFailures detects when markets move opposite to major economic news. When a bullish CPI print causes selling, or a bearish NFP causes a rally, that is a news failure. Powered by AI, it monitors CPI, NFP, FOMC, EIA, WASDE, and 60+ macro catalysts in real-time. When the market fails to follow the news narrative, NewsFailures flags it as a reversal setup. Built for systematic event traders who want an edge from macro catalyst reactions.
NewsFailuresReversal signals when markets defy the news
RegimeForecastleft a comment
Built this after watching traders get blindsided by news that moved markets the wrong way. A bullish jobs report that tanks stocks. A rate-hold that sparks a rally. These news failures are not random. They are some of the most reliable reversal signals in macro trading. Tracking them manually across 60+ catalysts is impossible at scale, so NewsFailures automates it. Curious to hear from other...
NewsFailuresReversal signals when markets defy the news