Backtesting Crypto Trading Strategies with Python 2021 | 570BA579DE7A4D7366621AA91D712557662095C9

Backtesting Crypto Trading Strategies with Python 2021

Name	Backtesting Crypto Trading Strategies with Python & C++ 2021	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.0 GB
Total Files	163
Last Seen	2025-09-11 23:37
Hash	570BA579DE7A4D7366621AA91D712557662095C9

/.../6. High-performance Backtesting with C++/
6. Resample the 1-minute Candlesticks.mp4	161.9 MB
6. Resample the 1-minute Candlesticks.srt	28.9 KB
5. Get the HDF5 Data.srt	22.0 KB
11. Load Your C++ Library Into Python.srt	20.5 KB
10. Parabolic SAR Coding.srt	18.0 KB
4. Open and Close an HDF5 File With the C library.srt	17.0 KB
7. SMA Cross-over Strategy Class.srt	12.6 KB
1. Set Up the C++ Coding Environment (Windows users).srt	11.6 KB
8. SMA Cross-over Strategy Execute the Backtest.srt	11.1 KB
2. Set Up the C++ Coding Environment (Mac OS users).srt	8.4 KB
3. Run Your First C++ Program.srt	7.1 KB
9. Parabolic SAR Trading Strategy.srt	4.9 KB
1.1 cmake_kit.json	0.3 KB
11. Load Your C++ Library Into Python.mp4	131.4 MB
5. Get the HDF5 Data.mp4	118.9 MB
2. Set Up the C++ Coding Environment (Mac OS users).mp4	101.4 MB
10. Parabolic SAR Coding.mp4	91.8 MB
1. Set Up the C++ Coding Environment (Windows users).mp4	78.3 MB
7. SMA Cross-over Strategy Class.mp4	76.7 MB
4. Open and Close an HDF5 File With the C library.mp4	69.1 MB
8. SMA Cross-over Strategy Execute the Backtest.mp4	64.2 MB
3. Run Your First C++ Program.mp4	29.8 MB
9. Parabolic SAR Trading Strategy.mp4	17.8 MB
/
TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/7. Backtesting Optimization/
1. Introduction to Optimization and Genetic Algorithms.srt	22.1 KB
7. Generate the Offspring Population.srt	20.0 KB
3. Generate the Initial Population.srt	17.1 KB
10. Implement the NSGA-2 Process.srt	16.9 KB
5. Non-Dominated Sorting.srt	15.6 KB
2. Prepare the Optimizer Module.srt	9.2 KB
6. Crowding Distance Calculation.srt	8.8 KB
9. Random Parameter Constraints.srt	6.5 KB
8. Create the Next Generation.srt	5.7 KB
4. Evaluate the Population.srt	4.9 KB
7. Generate the Offspring Population.mp4	112.7 MB
10. Implement the NSGA-2 Process.mp4	94.5 MB
5. Non-Dominated Sorting.mp4	87.3 MB
3. Generate the Initial Population.mp4	81.5 MB
1. Introduction to Optimization and Genetic Algorithms.mp4	75.4 MB
2. Prepare the Optimizer Module.mp4	59.5 MB
6. Crowding Distance Calculation.mp4	53.2 MB
4. Evaluate the Population.mp4	45.8 MB
9. Random Parameter Constraints.mp4	38.2 MB
8. Create the Next Generation.mp4	28.1 MB
/.../5. Strategy Backtesting With Python/
8. Support & Resistance Coding Identify the Price Levels.srt	20.7 KB
6. Ichimoku Coding.srt	19.0 KB
4. On-Balance Volume Coding.srt	16.6 KB
9. Support & Resistance Coding Check the Breakouts.srt	15.2 KB
1. Introduction to Backtesting With Python.srt	13.6 KB
11. Dynamically Input Your Parameters.srt	8.0 KB
5. Ichimoku Trading Strategy.srt	7.1 KB
2. On-Balance Volume Trading Strategy.srt	6.9 KB
3. Backtesting Interface.srt	6.9 KB
10. Support & Resistance Coding Open Close Positions.srt	6.9 KB
7. Support & Resistance Trading Strategy.srt	6.4 KB
13. Performance Indicator the Maximum Drawdown.srt	5.3 KB
12. Speed Up Your Backtest With Numpy Arrays.srt	5.0 KB
4. On-Balance Volume Coding.mp4	93.7 MB
6. Ichimoku Coding.mp4	90.2 MB
8. Support & Resistance Coding Identify the Price Levels.mp4	80.3 MB
9. Support & Resistance Coding Check the Breakouts.mp4	78.5 MB
1. Introduction to Backtesting With Python.mp4	50.4 MB
11. Dynamically Input Your Parameters.mp4	49.6 MB
3. Backtesting Interface.mp4	40.1 MB
10. Support & Resistance Coding Open Close Positions.mp4	35.4 MB
13. Performance Indicator the Maximum Drawdown.mp4	34.9 MB
12. Speed Up Your Backtest With Numpy Arrays.mp4	32.5 MB
2. On-Balance Volume Trading Strategy.mp4	26.8 MB
5. Ichimoku Trading Strategy.mp4	25.9 MB
7. Support & Resistance Trading Strategy.mp4	23.4 MB
/.../2. Setting Up the Coding Environment/
1. Install Python 3.srt	2.1 KB
3. Source Code for Each Lecture.html	0.4 KB
2. Install and Configure PyCharm.srt	6.5 KB
3.1 source_code.zip	678.7 KB
2. Install and Configure PyCharm.mp4	22.9 MB
1. Install Python 3.mp4	11.0 MB
/.../3. Market Data Collection/
7. Collect the Full Price History of a Symbol (Part 1).srt	18.1 KB
6. Request Historical Data From Any Crypto Exchange.srt	13.7 KB
3. Create the Binance Client Class.srt	12.1 KB
8. Collect the Full Price History of a Symbol (Part 2).srt	11.8 KB
5. Request Historical Data From Binance.srt	10.7 KB
4. Request the List of Symbols.srt	7.6 KB
2. Create an Entry Point Logger Exchange Class.srt	6.9 KB
1. What is an API and How to Use it.srt	5.3 KB
6. Request Historical Data From Any Crypto Exchange.mp4	64.5 MB
7. Collect the Full Price History of a Symbol (Part 1).mp4	56.7 MB
8. Collect the Full Price History of a Symbol (Part 2).mp4	45.6 MB
5. Request Historical Data From Binance.mp4	43.0 MB
3. Create the Binance Client Class.mp4	35.9 MB
4. Request the List of Symbols.mp4	30.4 MB
1. What is an API and How to Use it.mp4	20.4 MB
2. Create an Entry Point Logger Exchange Class.mp4	20.0 MB
/.../4. Storing the Market Data to an HDF5 Database/
5. Fetch Data From a Dataset.srt	13.5 KB
1. What Is HDF5 and Why Use it.srt	12.5 KB
4. Get the MinMax Timestamp of the Dataset.srt	9.5 KB
6. Convert 1-minute Candlesticks to any Timeframe.srt	8.1 KB
3. Insert Data to a Dataset.srt	6.8 KB
2. Create an HDF5 Dataset With h5py.srt	4.1 KB
5. Fetch Data From a Dataset.mp4	72.8 MB
4. Get the MinMax Timestamp of the Dataset.mp4	51.4 MB
1. What Is HDF5 and Why Use it.mp4	47.8 MB
6. Convert 1-minute Candlesticks to any Timeframe.mp4	34.6 MB
3. Insert Data to a Dataset.mp4	30.6 MB
2. Create an HDF5 Dataset With h5py.mp4	13.6 MB
/1. Introduction/
2. Common Mistakes When Backtesting.srt	9.3 KB
1. Why Is Backtesting Essential.srt	7.4 KB
3. Course Organization.srt	4.4 KB
2. Common Mistakes When Backtesting.mp4	33.1 MB
1. Why Is Backtesting Essential.mp4	25.9 MB
3. Course Organization.mp4	12.8 MB
/.pad/
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Total files 163