How to Build a Profitable Fibonacci Retracement Strategy with Python Explained

Introduction This article will explain and implement the Fibonacci retracement strategy in Python. At the same time, it will implement different Python functions to build this strategy. Related reading: –Algorithmic trading strategies Python (Backtesting, Code, List, And Plenty of Coding…

How I Made A Profitable TEMA Trading Strategy In Python (Code, Rules, Backtest)

Triple Exponential Moving Average (TEMA) This indicator is used to identify the trend, retracement, and potential support and resistance. After the development of the Double Exponential Moving Average (DEMA), Patrik Mulloy enhanced the indicator and developed the TEMA. The interpretation…

What is the Success Rate of Trend Following Trading Strategies

If you’re asking ‘what is the success rate of trend-following trading strategies,’ you’re looking for clear-cut numbers and straightforward facts. Trend following, a strategy built on capturing market momentum, does not have a one-size-fits-all success metric. Rather, its efficiency is…

Merger Arbitrage

Merger arbitrage is a nuanced investment strategy that aims to profit from the price discrepancies of companies during a merger. This article unpacks the technique, explores the risks, and guides you through the complexities, equipping you with the knowledge to…

Market Neutral Trading

Market neutral trading is an investment strategy designed to generate profits regardless of market direction. It involves balancing long and short positions to neutralize market risk and focuses on exploiting pricing inefficiencies for consistent returns. In this article, we’ll explore…

Index Arbitrage

Index arbitrage is about smartly navigating price differences between stock indexes and their constituent stocks for a profit. Straightforward and efficient, this primer unpacks how traders use index arbitrage techniques to capitalize on market inefficiencies, provides insights into the risks…