|
|
1. Introduction Install library on google colab.mp4
|
MP4
|
10.9 MB
|
|
|
1. Introduction Install library on google colab.srt
|
SRT
|
1.1 KB
|
|
|
1. Introduction.html
|
HTML
|
1 KB
|
|
|
1. Introduction.mp4
|
MP4
|
2.8 MB
|
|
|
1. Introduction.srt
|
SRT
|
716.8 B
|
|
|
10. Matplotlib Tools.mp4
|
MP4
|
17.6 MB
|
|
|
10. Matplotlib Tools.srt
|
SRT
|
2 KB
|
|
|
10. Python structures For.mp4
|
MP4
|
29.9 MB
|
|
|
10. Python structures For.srt
|
SRT
|
4.3 KB
|
|
|
11. Python structures While.mp4
|
MP4
|
14.3 MB
|
|
|
11. Python structures While.srt
|
SRT
|
2.2 KB
|
|
|
12. Functions Basics of function.mp4
|
MP4
|
32.7 MB
|
|
|
12. Functions Basics of function.srt
|
SRT
|
4.7 KB
|
|
|
13. Functions Local variable.mp4
|
MP4
|
14.3 MB
|
|
|
13. Functions Local variable.srt
|
SRT
|
1.8 KB
|
|
|
14. Functions Global variable.mp4
|
MP4
|
12.8 MB
|
|
|
14. Functions Global variable.srt
|
SRT
|
1.3 KB
|
|
|
15. Functions Lambda function.mp4
|
MP4
|
13.2 MB
|
|
|
15. Functions Lambda function.srt
|
SRT
|
1.7 KB
|
|
|
2. Get stock prices.mp4
|
MP4
|
16.6 MB
|
|
|
2. Get stock prices.srt
|
SRT
|
2.1 KB
|
|
|
2. Import the data.mp4
|
MP4
|
48.2 MB
|
|
|
2. Import the data.srt
|
SRT
|
4.2 KB
|
|
|
2. Install a library on Jupyter Notebook.mp4
|
MP4
|
8.9 MB
|
|
|
2. Install a library on Jupyter Notebook.srt
|
SRT
|
1 KB
|
|
|
2. Linear Regression Theory.mp4
|
MP4
|
24.8 MB
|
|
|
2. Linear Regression Theory.srt
|
SRT
|
3.3 KB
|
|
|
2. Numpy Array.mp4
|
MP4
|
60.1 MB
|
|
|
2. Numpy Array.srt
|
SRT
|
9 KB
|
|
|
2. SVR Therory.mp4
|
MP4
|
17.9 MB
|
|
|
2. SVR Therory.srt
|
SRT
|
2.5 KB
|
|
|
2. Sortino ratio computation.mp4
|
MP4
|
57.4 MB
|
|
|
2. Sortino ratio computation.srt
|
SRT
|
5.9 KB
|
|
|
2. Type of object Number.mp4
|
MP4
|
24 MB
|
|
|
2. Type of object Number.srt
|
SRT
|
3.4 KB
|
|
|
2.1 Extract_Chapter_7.pdf
|
PDF
|
405.1 KB
|
|
|
3. Beta ratio computation (CAPM metric).mp4
|
MP4
|
72.7 MB
|
|
|
3. Beta ratio computation (CAPM metric).srt
|
SRT
|
7.2 KB
|
|
|
3. Create a simple moving average (SMA).mp4
|
MP4
|
43 MB
|
|
|
3. Create a simple moving average (SMA).srt
|
SRT
|
3.9 KB
|
|
|
3. Features engineering Create technical indicators.mp4
|
MP4
|
27.3 MB
|
|
|
3. Features engineering Create technical indicators.srt
|
SRT
|
2.9 KB
|
|
|
3. Import the data.mp4
|
MP4
|
4.3 MB
|
|
|
3. Import the data.srt
|
SRT
|
1.4 KB
|
|
|
3. Initialize the platform.mp4
|
MP4
|
4 MB
|
|
|
3. Initialize the platform.srt
|
SRT
|
1.5 KB
|
|
|
3. Numpy Random.mp4
|
MP4
|
14.1 MB
|
|
|
3. Numpy Random.srt
|
SRT
|
5.6 KB
|
|
|
3. Strengths and weaknesses of yfinance.mp4
|
MP4
|
17.8 MB
|
|
|
3. Strengths and weaknesses of yfinance.srt
|
SRT
|
2.7 KB
|
|
|
3. Type of object String.mp4
|
MP4
|
83.7 MB
|
|
|
3. Type of object String.srt
|
SRT
|
8.6 KB
|
|
|
4. Alpha ratio computation (CPAM metric).mp4
|
MP4
|
23.6 MB
|
|
|
4. Alpha ratio computation (CPAM metric).srt
|
SRT
|
2.4 KB
|
|
|
4. Create a moving standard deviation (MSD).mp4
|
MP4
|
20.6 MB
|
|
|
4. Create a moving standard deviation (MSD).srt
|
SRT
|
2.2 KB
|
|
|
4. Features engineering Standardization.mp4
|
MP4
|
40 MB
|
|
|
4. Features engineering Standardization.srt
|
SRT
|
4.8 KB
|
|
|
4. Get data from your broker.mp4
|
MP4
|
23.1 MB
|
|
|
4. Get data from your broker.srt
|
SRT
|
2.5 KB
|
|
|
4. Numpy Indexing slicing Transformation.mp4
|
MP4
|
85.4 MB
|
|
|
4. Numpy Indexing slicing Transformation.srt
|
SRT
|
10.9 KB
|
|
|
4. Split the dataset.mp4
|
MP4
|
31 MB
|
|
|
4. Split the dataset.srt
|
SRT
|
3.2 KB
|
|
|
4. Type of object Logical Operations and Boolean.mp4
|
MP4
|
25.7 MB
|
|
|
4. Type of object Logical Operations and Boolean.srt
|
SRT
|
3.9 KB
|
|
|
5. Drawdown function creation.mp4
|
MP4
|
28.7 MB
|
|
|
5. Drawdown function creation.srt
|
SRT
|
3 KB
|
|
|
5. Features engineering Principal component analysis.mp4
|
MP4
|
33.5 MB
|
|
|
5. Features engineering Principal component analysis.srt
|
SRT
|
4.4 KB
|
|
|
5. Linear Regression Practice.mp4
|
MP4
|
19.8 MB
|
|
|
5. Linear Regression Practice.srt
|
SRT
|
2.4 KB
|
|
|
5. Pandas Serie and DataFrame.mp4
|
MP4
|
31.3 MB
|
|
|
5. Pandas Serie and DataFrame.srt
|
SRT
|
4.1 KB
|
|
|
5. Send orders on the market using Python.mp4
|
MP4
|
44.5 MB
|
|
|
5. Send orders on the market using Python.srt
|
SRT
|
4.3 KB
|
|
|
5. Type of object Variable assignment.mp4
|
MP4
|
37 MB
|
|
|
5. Type of object Variable assignment.srt
|
SRT
|
5 KB
|
|
|
5. Use the technical analysis library to create a RSI indicator.mp4
|
MP4
|
30 MB
|
|
|
5. Use the technical analysis library to create a RSI indicator.srt
|
SRT
|
3.2 KB
|
|
|
5.1 Extract_Chapter_7.pdf
|
PDF
|
289 KB
|
|
|
6. Automatisation of the features engineering process.mp4
|
MP4
|
19.2 MB
|
|
|
6. Automatisation of the features engineering process.srt
|
SRT
|
2 KB
|
|
|
6. Drawdown function application.mp4
|
MP4
|
27.4 MB
|
|
|
6. Drawdown function application.srt
|
SRT
|
2.8 KB
|
|
|
6. Get current positions.mp4
|
MP4
|
19.4 MB
|
|
|
6. Get current positions.srt
|
SRT
|
1.9 KB
|
|
|
6. Pandas Cleaning and selection data.mp4
|
MP4
|
81.6 MB
|
|
|
6. Pandas Cleaning and selection data.srt
|
SRT
|
10 KB
|
|
|
6. Predict stock prices using Machine learning predictions.mp4
|
MP4
|
20 MB
|
|
|
6. Predict stock prices using Machine learning predictions.srt
|
SRT
|
2 KB
|
|
|
6. SVR Practice.mp4
|
MP4
|
18.2 MB
|
|
|
6. SVR Practice.srt
|
SRT
|
1.8 KB
|
|
|
6. Type of object Tuple and List.mp4
|
MP4
|
49.8 MB
|
|
|
6. Type of object Tuple and List.srt
|
SRT
|
6.7 KB
|
|
|
6.1 assets.csv
|
CSV
|
3.1 MB
|
|
|
7. BackTesting Function.mp4
|
MP4
|
21.2 MB
|
|
|
7. BackTesting Function.srt
|
SRT
|
2.1 KB
|
|
|
7. Backtest the strategy.mp4
|
MP4
|
34.3 MB
|
|
|
7. Backtest the strategy.srt
|
SRT
|
3.8 KB
|
|
|
7. Create trading strategies using Machine learning predictions.mp4
|
MP4
|
29.3 MB
|
|
|
7. Create trading strategies using Machine learning predictions.srt
|
SRT
|
4.2 KB
|
|
|
7. Pandas Conditional selection.mp4
|
MP4
|
26 MB
|
|
|
7. Pandas Conditional selection.srt
|
SRT
|
3 KB
|
|
|
7. Run structure creation.mp4
|
MP4
|
32.7 MB
|
|
|
7. Run structure creation.srt
|
SRT
|
2.8 KB
|
|
|
7. Type of object Dictionary.mp4
|
MP4
|
46.7 MB
|
|
|
7. Type of object Dictionary.srt
|
SRT
|
5.8 KB
|
|
|
8. Automatization.mp4
|
MP4
|
27.4 MB
|
|
|
8. Automatization.srt
|
SRT
|
3.1 KB
|
|
|
8. Automatize the process.mp4
|
MP4
|
29.2 MB
|
|
|
8. Automatize the process.srt
|
SRT
|
3.4 KB
|
|
|
8. Backtesting Function Customize.mp4
|
MP4
|
24.2 MB
|
|
|
8. Backtesting Function Customize.srt
|
SRT
|
2.2 KB
|
|
|
8. Close all positions.mp4
|
MP4
|
10.9 MB
|
|
|
8. Close all positions.srt
|
SRT
|
614.4 B
|
|
|
8. Matplotlib Graph.mp4
|
MP4
|
19.7 MB
|
|
|
8. Matplotlib Graph.srt
|
SRT
|
1.9 KB
|
|
|
8. Type of object Set.mp4
|
MP4
|
28.7 MB
|
|
|
8. Type of object Set.srt
|
SRT
|
3.7 KB
|
|
|
9. Application Machine learning.mp4
|
MP4
|
14.3 MB
|
|
|
9. Application Machine learning.srt
|
SRT
|
1.4 KB
|
|
|
9. Live Trading application random signals.mp4
|
MP4
|
32.8 MB
|
|
|
9. Live Trading application random signals.srt
|
SRT
|
3.2 KB
|
|
|
9. Matplotlib Scatter.mp4
|
MP4
|
14.3 MB
|
|
|
9. Matplotlib Scatter.srt
|
SRT
|
1.5 KB
|
|
|
9. Python structures If Elif Else.mp4
|
MP4
|
41 MB
|
|
|
9. Python structures If Elif Else.srt
|
SRT
|
5.1 KB
|
|
|
Bonus Resources.txt
|
TXT
|
307.2 B
|
|
|
Get Bonus Downloads Here.url
|
URL
|
204.8 B
|