Strategy

Learn about Keltner Channels in this guide covering origins, strategies, comparisons with Bollinger Bands, and coding tips. Understand this valuable tool for market analysis, with insights on trading signals and Python implementation.

Understand the Klinger Volume Oscillator (KVO), a vital trading tool that combines volume and price data. This guide covers the origins, mathematical construction, usage, pros and cons of the KVO, and provides a Python code example to implement it.

Examine the MACD indicator and its powerful application in trading through MACD divergence. Identify trend reversals, calculate the MACD line and histogram, implement a MACD strategy and code it in Python.

Explore the On Balance Volume (OBV) indicator and OBV divergence in trading. Learn its origins, structure, applications, and how to chart it using Python.

Explore the Moving Linear Regression Indicator: a powerful tool that tracks market trends using the least squares technique. Understand its mathematical framework, implementation in Python, and practical trading applications.

Explore the Williams %R Indicator, a tool for identifying overbought and oversold market conditions. This guide covers its origins, mathematical formula, interpretation, pros and cons, and how to code it in Python and R.

Explore the Rate of Change Indicator in trading with this guide. Learn its origins, calculation, usage for trading signals, and Python coding. Discover advanced strategies and compare it with other indicators

Discover the best moving averages for day trading in our deep dive of the different types. From SMA to EHMA, learn how to leverage these tools to navigate the market’s ‘new normal’ effectively and even code them