Insights on AI-powered trading and alternative data
A practical guide to interpreting ARIMA price forecasts — what mid, lower, and upper bounds mean, how confidence intervals grow with forecast horizon, and how to use them in trading decisions.
After building a neural network for stock price forecasting and watching it overfit, we moved to ARIMA. Here's why statistical models outperform deep learning on noisy financial time series.
How to combine FinBrain's Reddit mention data with news sentiment analysis to identify retail attention spikes and confirm or challenge the prevailing market narrative.
How to use FinBrain Terminal's Government Contracts screener and ticker page to identify companies with growing federal revenue exposure and contract momentum.
How to combine CFTC Commitments of Traders data across equities, bonds, commodities, and currencies to identify crowded trades and positioning-driven reversals.
How to use the FinBrain Terminal's geopolitical globe, intel feed, and prediction markets to monitor global risk events and assess their potential market impact.
Step-by-step guide to setting up a daily macro monitoring workflow using FinBrain Terminal's yield curves, COT positioning, prediction markets, and fiscal indicators.
Learn how EIA crude oil inventories, natural gas storage, and production data drive energy prices, and how to interpret weekly inventory reports for trading signals.
Learn how the ECB Composite Indicator of Systemic Stress measures financial system health across money markets, bonds, equities, FX, and financial intermediaries.
Learn how open-source intelligence (OSINT) methods help investors monitor geopolitical risk, supply chain disruptions, and market-moving events before they hit mainstream news.
Understand the Crypto Fear and Greed Index, how it's calculated, what each level signals, and how contrarian traders use extreme readings for timing decisions.
Learn how prediction markets aggregate real-money bets into event probabilities, and how investors use them to quantify geopolitical, economic, and political risk.