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[ CoursePig com ] Udemy - Algorithmic Trading with Python - Technical Analysis Strategy (Updated 10 - 2021)
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Name:[ CoursePig com ] Udemy - Algorithmic Trading with Python - Technical Analysis Strategy (Updated 10 - 2021)
Infohash: 111AE56E0012589D556A195F438523C98603DA5D
Total Size: 2.29 GB
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Last Updated: 2025-11-17 15:42:50 (Update Now)
Torrent added: 2021-10-26 00:02:15
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10. Chapter 9 VPS
1. Initialize the VPS.mp4
1. Initialize the VPS.srt
2. Install the softwares.mp4
2. Install the softwares.srt
3. Put your algorithm in live trading.mp4
3. Put your algorithm in live trading.srt
2. Chapter 1 Basics of Python
1. Type of object Number.mp4
1. Type of object Number.srt
10. Python structures While.mp4
10. Python structures While.srt
11. Functions Basics of function.mp4
11. Functions Basics of function.srt
12. Functions Local variable.mp4
12. Functions Local variable.srt
13. Functions Global variable.mp4
13. Functions Global variable.srt
14. Functions Lambda function.mp4
14. Functions Lambda function.srt
2. Type of object String.mp4
2. Type of object String.srt
3. Type of object Logical operations and Boolean.mp4
3. Type of object Logical operations and Boolean.srt
4. Type of object Variable assignment.mp4
4. Type of object Variable assignment.srt
5. Type of object Tuple and List.mp4
5. Type of object Tuple and List.srt
6. Type of object Dictionary.mp4
6. Type of object Dictionary.srt
7. Type of object Set.mp4
7. Type of object Set.srt
8. Python structures If Elif Else.mp4
8. Python structures If Elif Else.srt
9. Python structures For.mp4
9. Python structures For.srt
3. Chapter 1 (following) Basics of Python for Data Science
1. Numpy Array.mp4
1. Numpy Array.srt
2. Numpy Random.mp4
2. Numpy Random.srt
3. Numpy Indexing Slicing Transformation.mp4
3. Numpy Indexing Slicing Transformation.srt
4. Pandas Serie and DataFrame.mp4
4. Pandas Serie and DataFrame.srt
5. Pandas Cleaning and selection data.mp4
5. Pandas Cleaning and selection data.srt
6. Pandas Conditional selection.mp4
6. Pandas Conditional selection.srt
7. Matplotlib Graph.mp4
7. Matplotlib Graph.srt
8. Matplotlib Scatter.mp4
8. Matplotlib Scatter.srt
9. Matplotlib Tools.mp4
9. Matplotlib Tools.srt
4. Chapter 2 Import the data
1. Install a library on Google Colaboratory.mp4
1. Install a library on Google Colaboratory.srt
2. Use Yfinance Library.mp4
2. Use Yfinance Library.srt
3. Others import ways.mp4
3. Others import ways.srt
4. Create a strategy with the RSI - Buying signals.jpeg
5. Chapter 3 Algorithmic trading strategy
1. RSI Strategy Introduction.mp4
1. RSI Strategy Introduction.srt
10. RSI Function - Returns computation.mp4
10. RSI Function - Returns computation.srt
2. Create a strategy with the RSI - Explanation and computation of the RSI.mp4
2. Create a strategy with the RSI - Explanation and computation of the RSI.srt
3. Create a strategy with the RSI - Zone of Action.mp4
3. Create a strategy with the RSI - Zone of Action.srt
4. Create a strategy with the RSI - Buying signals.mp4
4. Create a strategy with the RSI - Buying signals.srt
5. Create a strategy with the RSI - Selling signals.mp4
5. Create a strategy with the RSI - Selling signals.srt
6. Create a strategy with the RSI - Strategy Example.mp4
6. Create a strategy with the RSI - Strategy Example.srt
7. Create a strategy with the RSI - Returns of the Strategy.mp4
7. Create a strategy with the RSI - Returns of the Strategy.srt
8. RSI Function - Long Signals.mp4
8. RSI Function - Long Signals.srt
9. RSI Function - Short Signals.mp4
9. RSI Function - Short Signals.srt
6. Chapter 4 Vectorized Backtesting
1. Introduction.mp4
1. Introduction.srt
2. Sortino ratio computation.mp4
2. Sortino ratio computation.srt
3. Beta ratio computation (CPAM metric).mp4
3. Beta ratio computation (CPAM metric).srt
4. Alpha ratio computation (CPAM metric).mp4
4. Alpha ratio computation (CPAM metric).srt
5. Drawdown function creation.mp4
5. Drawdown function creation.srt
6. Drawdown function application.mp4
6. Drawdown function application.srt
7. BackTesting Function (1).mp4
7. BackTesting Function (1).srt
8. BackTesting Function (2).mp4
8. BackTesting Function (2).srt
9. BackTesting RSI strategy.mp4
9. BackTesting RSI strategy.srt
7. Chapter 5 Find best assets for the strategy
1. Introduction.mp4
1. Introduction.srt
2. What is the Hurst exponent.mp4
2. What is the Hurst exponent.srt
3. Computations of metrics to create a dataset.mp4
3. Computations of metrics to create a dataset.srt
4. Find best assets sector for our strategy.mp4
4. Find best assets sector for our strategy.srt
5. Find the best criterion to select the assets.mp4
5. Find the best criterion to select the assets.srt
8. Chapter 6 Find best parameters for our strategy
1. Introduction.mp4
1. Introduction.srt
2. HeatMap optimization parameters.mp4
2. HeatMap optimization parameters.srt
3. Automate the process.mp4
3. Automate the process.srt
4. Find best parameters HeatMap method.mp4
4. Find best parameters HeatMap method.srt
5. Find best parameters Statistical method.mp4
5. Find best parameters Statistical method.srt
6. Backtest the strategy using the best parameters.mp4
6. Backtest the strategy using the best parameters.srt
7. Automate the process.mp4
7. Automate the process.srt
9. Chapter 8 MetaTrader 5 Live Trading using Python
1. Introduction.mp4
1. Introduction.srt
10. Live Trading application RSI strategy.mp4
10. Live Trading application RSI strategy.srt
2. Install a library on Jupyter Notebook.mp4
2. Install a library on Jupyter Notebook.srt
3. Initialize the platform.mp4
3. Initialize the platform.srt
4. Get data broker.mp4
4. Get data broker.srt
5. Send orders on the market using python.mp4
5. Send orders on the market using python.srt
6. Get current positions.mp4
6. Get current positions.srt
7. Run structure creation.mp4
7. Run structure creation.srt
8. Close All Positions.mp4
8. Close All Positions.srt
9. Live Trading application random signals.mp4
9. Live Trading application random signals.srt
Bonus Resources.txt
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