Member-only story

How to Catch Monster Stocks: A Data-Driven Swing Trading Rulebook

Algo Insights
InsiderFinance Wire
5 min readFeb 17, 2025

--

Swing Trading is an art backed by data. The harsh reality? 95% of swing traders fail to catch monster stocks that move 100–200% because they lack a system.

After analyzing four years of past winners, I identified a 5-rule setup to catch high-momentum stocks consistently. This article will break down these rules with simple logic, examples, and even some Python code to help you understand the process better.

Step 1: Identify the Best Market Conditions

The Power of Moving Averages (10–21–50 EMA)

A key insight from analyzing past trades:
📌 Markets perform best when they are above the 10, 21, and 50 EMA.

Key Observations from the 2022 Bear Market

  • Highest Trading activity was observed in specific months:
  • January 2022: 28 trades
  • July 2022: 24 trades
  • December 2021: 21 trades
  • August 2022: 18 trades
  • November 2022: 17 trades
  • Best Trading weeks:
  • The first week of the month had the most entries

--

--

Published in InsiderFinance Wire

InsiderFinance news wire — Top articles on data-driven trading, investing, analyses, tools, and strategies to achieve financial freedom

Written by Algo Insights

Algo Insights: Unlocking the Future of Trading with Code, Data, and Intelligence. https://linktr.ee/Algo_Insights

Responses (1)

Write a response