10 units covering central bank analysis with AI
Understanding monetary policy frameworks, key institutions (Fed, ECB, BoJ, BoE), and their impact on markets.
Decoding FOMC minutes, ECB press conferences, and forward guidance – the language of central bankers.
Using LLMs to analyze central bank communication tone and detect hawkish/dovish shifts.
Strategies for trading around rate decisions – pre-event positioning, reaction trades, and risk management.
How CPI, PCE, and wage data influence monetary policy – and how to trade the chain reaction.
Balance sheet policies, their market impact, and how to monitor and trade QT/QE cycles.
Trading divergence between major central banks – FX implications, carry trades, and correlation shifts.
Creating an automated monitoring system for central bank events, speeches, and data releases.
Backtesting central bank-driven trading strategies with PineScript and Python.
Applying everything to current market conditions – live analysis and real-time strategy execution.