Skip to content

Commit e5b7eb0

Browse files
authored
Update README.md
1 parent 4509e02 commit e5b7eb0

File tree

1 file changed

+3
-4
lines changed
  • Classification Models/Market Trend Classification Model

1 file changed

+3
-4
lines changed

Classification Models/Market Trend Classification Model/README.md

Lines changed: 3 additions & 4 deletions
Original file line numberDiff line numberDiff line change
@@ -1,12 +1,11 @@
11
# 📈 Market Trend Classification Model
22

33
<p align="center">
4-
<img src="https://raw.githubusercontent.com/alo7lika/ML-Nexus/refs/heads/main/Time%20Series%20Analysis/Market%20Regime%20Detection/Market%20Regime%20Detection%20Project%20-%20Analysis%20Dashboard.png" alt="Market Regime Detection Dashboard" width="600"/>
4+
<img src="https://raw.githubusercontent.com/alo7lika/machine-learning-repos/refs/heads/main/Classification%20Models/Market%20Trend%20Classification%20Model/MarketTrend%20Analytics%20-%20Classification%20Model.png" alt="Market Trend Classification Model" width="600"/>
55
</p>
66

7-
87
## 📖 Overview
9-
The Market Trend Classification Model aims to identify different market conditions by analyzing historical stock price data. By utilizing advanced data analysis techniques, this project classifies market regimes to aid in informed trading decisions and strategy development.
8+
The Market Trend Classification Model aims to identify different market conditions by analyzing historical stock price data. This project classifies market regimes by utilizing advanced data analysis techniques to aid in informed trading decisions and strategy development.
109

1110
## 📚 Table of Contents
1211
- [🚀 Problem Statement](#-problem-statement)
@@ -56,7 +55,7 @@ Several alternative approaches were evaluated, including:
5655
The model aims to classify market regimes accurately, providing valuable insights for trading strategies.
5756

5857
## 🔍 Conclusion
59-
This project demonstrates the significance of time series analysis and clustering techniques in financial market analysis. The identified regimes can enhance decision-making processes for traders and investors.
58+
This project demonstrates the significance of time series analysis and clustering techniques in financial market analysis. The identified regimes can enhance traders' and investors' decision-making processes.
6059

6160
## 🤝 Acknowledgments
6261
- **Dataset:** Yahoo Finance

0 commit comments

Comments
 (0)