📈 JP Morgan and top quant firms are using computer vision to trade stocks. Why aren’t you?
Wall Street isn't just looking at candlesticks anymore — it's scanning time series as images.
🔍 Enter the Gramian Angular Field (GAF): a transformation that turns time series into textures, enabling models like CNNs and Vision Transformers to read financial data like a heatmap.
GAF encodes the angular cosine similarity between every pair of time points — revealing hidden patterns, transitions, and temporal structure that lags and moving averages simply can’t.
If your signal has:
📊 trend shifts
🔁 cyclic structure
🔥 anomalies or bursts
…GAFs turn it into a form machines can see and classify.
🧠 This week, we’re dropping a full chapter on feature engineering — including GAFs, recurrence plots, MTFs, and more.
It’s part of the most comprehensive feature engineering treatment in time series ever published:
📦 120+ techniques
📚 18+ structured feature classes
🧪 With full Python code, visuals, and ML integration
🚀 The book price goes up after this chapter drop.
🎯 Grab it now and lock in lifetime access:
👉 https://t.co/N8LJTv0Iu6
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