Building a Local AI Assistant on Linux — Recent Progress on Echo

Building a Local AI Assistant on Linux — Recent Progress on Echo Introduction Over the past few months, I’ve been working on Echo, a local AI assistant running on my Ubuntu machine. Echo is designed to assist me in trading financial markets using various machine learning models. Today, I’ll share my recent progress, challenges, and plans for the future. Recent Progress Trading Brain In the latest update, I made significant progress in the trading brain module. I integrated the Relative Strength Index (RSI) and Moving Average (MA) analysis to detect trading signals. The core/trade_brain.py script now handles signal detection and executes trades based on these signals. Here’s a snippet of how the RSI and MA analysis are implemented: import pandas as pd from ta import RSIIndicator , SMAIndicator def analyze_ticker ( ticker_data ): rsi = RSIIndicator ( ticker_data [ ' close ' ], window = 14 ) ma = SMAIndicator ( ticker_data [ ' close ' ], window = 50 ) rsi_indicator = rsi . rsi () ma_indic