Essential Machine Learning for Investing

SD Band
How to calculate SD Band
Pair Trade
Quantitative Trader
Quantitative in MACD
Project – Quantitative in MACD
Arbitrage
Arbitrage
Market Breadth
Advanced Decline
52 Week – High, 52 Week – Low Index
Workshop – 52 Week – High, 52 Week – Low Index
Net Advance Volume, Ad Volume Line
Workshop – Market Breadth
Randomwalk
Normal Distribution
Workshop – Student-t, Lognormal
Historical VaR
Monte Carlo VaR
Workshop – Monte Carlo
Project – Monte Carlo
Quantamental
Scatter
PE Band Multiple
PE SD Band
PE Band eps
Workshop – PE Band historical
Project – Peter Lynch Screening
Machine Learning for Investing 101
How to use machine learning in Investing world
Orientation
Financial Data
Financial data ta
Financial data resample
Financial data ratio
Workshop – Exploratory Data Analysis
Workshop – Create Bubble Chart
Unsupervised Learning
Unsupervised Learning and Cluster Analysis
Correlation
Scatter plot
Correlation and Correlation Matrix
Dendogram
Locate first row
Workshop – Correlation Matrix
Workshop – หาหุ้นเพื่อนทิ้ง
Preparing data and Transform
Sample data
Robust Scaler
Outlier Min – Max Scaler
Standardize
Label – Encoding
One hot – Encoding
Judgement – Outlier
Workshop – Data Labeling
Workshop – Outlier
Modeling
Supervised Learning, Outlier, Feature, Transform
Special !!
Workshop – First Regression Model
Workshop – ML vs Data
Model Evaluation
K-Fold
Logistic Regression and Regularization
Lead shift
Coincidence
Workshop – Logistic Regression
Workshop – Regression Bank Stock
Solution – Stock Regression
Solution Bank Stock Regression
Apply Modeling
ประยุกต์การใช้ Model กับการลงทุน
Workshop – PE Band
Workshop – Predict ปู่ SET ไปเท่าไหร่ดี ?
รู้จัก Model อื่นๆให้มากขึ้น
Special
Random Forest ฉบับง่าย
RF Tuning
ML Backtesting
Machine Learning for investing 201
Model ที่เหมาะกับโลกการลงทุน
Orientation
Workshop – Linear Regression
Workshop – Random Forest
Workshop – False Signal Detection
Random Forest
Linear Regression
Random Forest Modeling
Random Forest Hyper-Parameter
Random Forest Grid Search Hyper-Parameter
Random Forest Classifier
False Signal Detection
Boosting Model
Boosting Model
Imbalanced Basic
Undersample/Upsample imbalanced
Workshop – False Signal Detection with imbalanced
Smote Under Part I
Smote Under Part II
More feature, Oversample vs Moreminority
Ada Boost
Workshop – Ada Boost
Light Gradient Boosting
What is XGBoost
What is XGBoost
XGBoost
XGBoost tutorials
Workshop – Predict SET Return by XGBoost Classifier
Solution – Predict SET Return by XGBoost Classifier
XGBoost Parameter Optimization
Workshop – XGBoost False Signal Detection
XGBoost Tips and Tricks
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Essential Machine Learning for Investing What is XGBoost
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