RegimeForecast
Know the market regime before you trade
What it does
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.
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- TITrendFi – I built AI trading signals that self-optimize2025 · trend.fi · ▲35
Hey HN, For the past few years, I've been obsessed with trying to get AI to produce accurate trading signals. The main challenges I found with AI trading models are lack of consistency, context window bottlenecks, hard to backtest, and high cost. Asking ChatGPT "Should I buy Bitcoin today?" doesn't work well because the LLM doesnt have a set trading strategy to opperate from. In addition, the small context window makes it challenging to fit enough historical data into. Not to mention it gets very expensive as well. My solution is a hybrid approach. Instead of having the LLM make direct…
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