FIN is designed to work with default configuration, but every stock is different. Different feeds, Prediction Configs, Surprise Signal Settings, Sentiment analysis options, ML configurations, Gate configs, Decay configs, Prompt configs and more can be modified by the user to finetune the system. Checkout more at: https://f1n.tech/guide/tuning.html
Markets are moved by human behavior, not just numbers. Fin treats psychology as a first-class signal. Its psychology module scores 12 cognitive biases (FOMO, herding, anchoring...) straight from the news using an LLM, alongside price data, financials, options flow, calendar events and sentiment. Those scores feed the statistics and ML models that drive every prediction. And when a prediction resolves, FIN grades itself against the outcome, so the system keeps learning from what it got wrong
