technical-basic

Automating trading signals requires computing technical indicators like EMA and RSI, then integrating them into a unified decision-making framework. This Skill generates composite signals through a three-dimensional voting mechanism combining trend, mean reversion, and volume-price analysis.

A composite trading signal works by running a three-dimensional voting mechanism that aggregates trend, mean reversion, and volume-price analysis. It processes indicator data including EMA, ADX, BB, RSI, OBV, and volume ratio to output a unified automated decision.

Yes, you need pandas and numpy to calculate technical analysis indicators within this Skill. These dependencies are required for the underlying data manipulation and mathematical calculations needed to process OHLCV data and generate trading signals.

Yes, you can customize EMA and RSI parameters for algorithmic trading strategies. The Skill offers a variety of adjustable settings, allowing you to personalize indicator configurations to fit your specific quantitative trading approach.

The best way to integrate volume ratio and OBV into market analysis is using a volume-price analysis dimension. This Skill incorporates OBV and volume ratio alongside trend and mean reversion indicators to generate a composite trading signal.

To process OHLCV data and generate automated trading signals, instantiate the Skill and provide the OHLCV data from your trading platform. The Skill will then compute the configured technical indicators and output a unified trading signal.