| 1 -Data Acquisition and Preprocessing.mp4 | 71.4 MB | ||
| 1 -Hello and Welcome.mp4 | 27.1 MB | ||
| 1 -Mean Reversion Strategies.mp4 | 74.4 MB | ||
| 1 -Probability and Statistics Review.mp4 | 95.7 MB | ||
| 2 -Backtesting Framework Architecture.mp4 | 115.8 MB | ||
| 2 -Time Series Analysis Essentials.mp4 | 97.4 MB | ||
| 2 -Trend Following Strategies.mp4 | 111.6 MB | ||
| 3 -Execution Algorithms and Order Types.mp4 | 81.3 MB | ||
| 3 -Pairs Trading and Cointegration.mp4 | 88.5 MB | ||
| 3 -Stochastic Processes and Models.mp4 | 87.5 MB | ||
| 4 -Statistical and Risk Arbitrage.mp4 | 85.8 MB | ||
| 4 -Stochastic Calculus Basics.mp4 | 136.7 MB | ||
| 4 -Transaction Costs and Slippage Modeling.mp4 | 74.8 MB | ||
| 5 -Market-Making and Microstructure.mp4 | 99.8 MB | ||
| 5 -Optimization Techniques.mp4 | 80 MB | ||
| 5 -Risk Management and Position Sizing.mp4 | 107.7 MB | ||
| 6 -Factor Models and Alpha Generation.mp4 | 94.8 MB | ||
| 6 -Machine Learning Foundations.mp4 | 112.4 MB | ||
| 6 -Performance Monitoring and Real-Time Analytics.mp4 | 114.8 MB | ||
| 7 -Deployment and Infrastructure Considerations.mp4 | 97.7 MB | ||
| 7 -Machine Learning in Strategy Development.mp4 | 115.3 MB | ||
| 7 -Performance Metrics and Evaluation.mp4 | 185 MB | ||
| 8 -Lesson 2.8 Statistical Testing and Overfitting.mp4 | 83.7 MB | ||
| 8 -Strategy Optimization and Walk-Forward Analysis.mp4 | 118.4 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 26 total files | |||
Algorithmic Trading: Mathematical & Strategic Theories
https://WebToolTip.com
Published 5/2025
Created by Domas Masiulis
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 24 Lectures ( 4h 52m ) | Size: 2.3 GB
Master mathematical models, backtesting frameworks, risk controls to design and deploy algorithmic trading strategies.
What you'll learn
Apply probability, time series analysis, and stochastic calculus to model asset price dynamics and forecast market behavior.
Design and implement mean reversion, trend following, pairs trading, and arbitrage strategies using statistical and machine learning methods.
Build event-driven backtesting frameworks, simulate execution costs, and evaluate strategy performance with Sharpe, Sortino, and drawdown metrics.
Implement risk management controls including position sizing, stop-loss, and value-at-risk to protect capital and optimize portfolio stability.
Requirements
Basic programming skills in Python, foundational knowledge of calculus, linear algebra, probability, and statistics, familiarity with trading concepts, and access to Python with numpy, pandas, and scikit-learn.
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| 2.5 GB | freecoursewb | 1 month | 1 | 9 | |
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| 2.2 GB | freecoursewb | 7 months | 10 | 2 | |
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Udemy - Algorithmic Crypto Trading - Make Money with Python Freqtrade Posted by
freecoursewb in Other
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| 3.9 GB | freecoursewb | 1 year | 1 | 1 |
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