Projects

I'm gonna use this space to shared my project as a quantitative research, tech projects and my thoughts on the tech industry. I hope you enjoy it! See more at github

Simplifying ETH Backtesting with Random Forest

Predicting ETH/USD Trade Signals with Random Forest

Learn how to build a machine learning model for predicting buy and sell signals in the ETH/USD market using the Random Forest algorithm. Gain insights into the application of ML in cryptocurrency trading and improve your strategies.
SET Index Prediction

Stock Analysis and Predicting Returns with Python

Combining Multiple Datasets, Linear Regression, and Visualizing the Results
Correlation Chart

Currency Pair Correlation Analysis for Strategic Trading

A step-by-step guide to discovering currency pair correlations and leveraging them for informed trading decisions and pair trading strategies.
Image Google Trend

Analyzing Cryptocurrency Trends: Comparing Bitcoin Price and Google Search Data

A guide to creating a data visualization that compares Google Trends data with Bitcoin price, helping to analyze public interest and sentiment in the cryptocurrency market
SET50 MACD Quandrant

SET50 MACD Quandrant

The Stock MACD Quadrant Chart represents an overhead analysis of MACD, including multiple Stock in a single chart.
PE ROE Band

Analyzing Market Breadth with the Advance/Decline Ratio Using Python

Discover how to analyze market trends and investor sentiment using Python and popular libraries like Pandas and Plotly Express. Learn how to calculate the Advance/Decline Ratio (ADR), an essential market breadth indicator, and create insightful visualizations to identify trends and make informed investment decisions.
PE ROE Band

Mastering Net Advance Volume Analysis with Python: A Comprehensive Guide for Investors

Discover how to analyze market breadth using the Net Advance Volume indicator in Python. Learn to leverage powerful libraries like Pandas and Plotly to handle large datasets and create insightful visualizations that help you make informed investment decisions. Boost your trading strategies by understanding the overall market sentiment and identifying potential opportunities with this comprehensive guide.
SET Index HEAT MAP

Visualizing SET Index Performance: Creating a Heat Map Chart

Explore how to create a heat map chart for the SET Index, showcasing its monthly percentage changes over the past decade. Utilize Python libraries like pandas, matplotlib, and seaborn to process and visualize SET Index data for a comprehensive analysis.
Stock Monte carlo Simulation

Stock Price Forecasting with Monte Carlo Simulation

Learn how to create a Monte Carlo Simulation for stock price forecasting
PE Band

Demystifying the PE Band Chart: A Comprehensive Guide for Stock Valuation

Unlock the secrets of the PE Band Chart and enhance your stock valuation skills with this all-inclusive guide on creating and interpreting PE Bands
PE ROE Band

The PE Band Chart Analysis - Visualize Historical Stock Valuation

Uncover the potential overvaluation or undervaluation of stocks with our PE Band Chart Analysis. Compare the current P/E ratio with historical trends to make informed investment decisions.
SET Index PE Band

SET Index Valuation Insights: Exploring the PE Band Chart

Discover how to create a PE Band Chart for the SET Index, enabling investors to analyze historical trends, assess market conditions, and make more informed investment decisions. Learn how to use Python, pandas, and matplotlib to process and visualize stock market data for a comprehensive understanding of market valuations.
Crypto MACD Quandrant

Crypto MACD Quandrant

The Crypto MACD Quadrant Chart represents an overhead analysis of MACD, including multiple cryptocurrencies in a single chart.
Image Outliner

Outlier Detection & Data Cleaning in Python - Comprehensive Guide

Master the art of detecting and removing outliers in your data using Python's powerful libraries like Pandas, NumPy, Matplotlib, and Seaborn. Enhance your data preprocessing skills with this step-by-step tutorial on data cleaning techniques, including standardization, robust scaling, and normalization.
Image Bubble Chart

Visualizing Equity Data with a Bubble Chart

A bubble chart is an effective way to visualize equity data, allowing us to perform a top-down analysis of various factors such as market capitalization, Return on Equity (ROE), and Price-to-Book Value (P/BV). In this tutorial, we will walk through the process of creating a bubble chart using Python's pandas and matplotlib libraries.