candlestick

This Skill generates trading signals by scoring each detected candlestick pattern for bullishness or bearishness, translating these scores into actionable signals to go long, short, or stand aside.

Yes, you can use pandas to generate trading signals from price data by applying vectorized statistical calculations that score candlestick patterns for bullish or bearish sentiment and output actionable trading decisions.

Yes, you need both pandas and numpy installed, as numpy handles the underlying statistical calculations required to process the time-series financial data and detect the patterns.

The best way to analyze multiple assets is using a pandas vectorized implementation, which processes time-series financial data efficiently to identify market trends and sentiment across various stocks or forex pairs.

Yes, this candlestick pattern detection works with forex data, as it processes standard financial price time-series data to aid technical analysis and decision-making across various asset classes.