Download Udemy - Deep Learning for algorithmic trading using Python Torrent

Torrent Contents Size: 2.5 GB

Udemy - Deep Learning for algorithmic trading using Python

▼ show more 64 files

1. Introduction.mp4	MP4	8.9 MB
1. READ ME.html	HTML	1 KB
10. How to fix the stochastic initialization problem.mp4	MP4	40.3 MB
10. Live Trading strategy based on ANN.mp4	MP4	25.6 MB
10. Matplotlib Toolbox.mp4	MP4	17.6 MB
10. Python structures FOR.mp4	MP4	29.9 MB
11. Bagging method using the different ANNs.mp4	MP4	57.5 MB
11. Live Trading strategy based on RNN.mp4	MP4	26.3 MB
11. Python structures WHILE.mp4	MP4	14.3 MB
12. Functions Basics of function.mp4	MP4	32.7 MB
13. Functions Local variable.mp4	MP4	14.3 MB
14. Functions Global variable.mp4	MP4	12.7 MB
15. Functions Lambda function.mp4	MP4	13.2 MB
2. Get stock prices.mp4	MP4	16.7 MB
2. Import & manage data from Metatrader 5.mp4	MP4	104.4 MB
2. Install a library on Jupyter.mp4	MP4	2.8 MB
2. Install the environments.html	HTML	1.1 KB
2. Numpy Array.mp4	MP4	60.1 MB
2. Quick recap of the DNN theory.mp4	MP4	85.8 MB
2. Sortino ratio computation.mp4	MP4	57.5 MB
2. Theory behind RNNs.mp4	MP4	34.1 MB
2. Type of object Number.mp4	MP4	24 MB
3. Beta ratio computation (CAPM metric).mp4	MP4	72.7 MB
3. Create a simple moving average (SMA).mp4	MP4	43 MB
3. Data import & Features engineering.mp4	MP4	30.8 MB
3. Import & manage data from Yahoo Finance.mp4	MP4	43.9 MB
3. Initialize the platform.mp4	MP4	14.7 MB
3. Numpy Random.mp4	MP4	54.1 MB
3. Recap from the DNN chapter.mp4	MP4	51.6 MB
3. Type of object String.mp4	MP4	83.6 MB
4. Alpha ratio computation (CAPM metric).mp4	MP4	23.6 MB
4. Create a moving standard deviation (MSD).mp4	MP4	20.6 MB
4. Get data broker.mp4	MP4	23.1 MB
4. How to transform 2-dimensional data into 3-dimensional data.mp4	MP4	41.2 MB
4. Numpy Indexing Slicing transformation.mp4	MP4	85.4 MB
4. Train Test set split (to fit the DNN model).mp4	MP4	42.5 MB
4. Type of object Logical operations Boolean.mp4	MP4	25.7 MB
5. Drawdown function creation.mp4	MP4	28.7 MB
5. How to create a RNN using TensorFlow 2.0.mp4	MP4	67.1 MB
5. Pandas Serie and DataFrame.mp4	MP4	31.2 MB
5. Send orders on the market using Python.mp4	MP4	44.5 MB
5. Type of object Variable assignment.mp4	MP4	37 MB
5. Use the Technical analysis library to compute the RSI indicator.mp4	MP4	30 MB
5. Why and how to standardize the features.mp4	MP4	34.6 MB
6. Automatization of the features engineering process.mp4	MP4	19.2 MB
6. Create a DNN using Tensorflow 2.0.mp4	MP4	68.7 MB
6. Drawdown application.mp4	MP4	27.4 MB
6. Dropout Layer.mp4	MP4	16.7 MB
6. Get current positions.mp4	MP4	44.5 MB
6. Pandas Cleaning and selection data.mp4	MP4	81.6 MB
6. Type of object Tuple and list.mp4	MP4	49.8 MB
6.1 assets.csv	CSV	3.1 MB
7. Backtesting function (1).mp4	MP4	21.3 MB
7. Pandas Conditional selection.mp4	MP4	26 MB
7. RNN prediction to create a trading strategy.mp4	MP4	60.7 MB
7. Run structure creation.mp4	MP4	32.7 MB
7. Type of object Dictionary.mp4	MP4	46.7 MB
7. Use the DNN predictions to create a trading strategy.mp4	MP4	59.4 MB
8. Automate the process.mp4	MP4	17.3 MB
8. Backtesting function (2).mp4	MP4	24.2 MB
8. Close all positions.mp4	MP4	10.8 MB
8. Matplotlib Graph.mp4	MP4	19.7 MB
8. Type of object Set.mp4	MP4	28.7 MB
9. Backtest a trading strategy based on DNN.mp4	MP4	15.8 MB
9. Find the best models throughout all the stochastic initialization.mp4	MP4	35.6 MB
9. Live Trading application random signals.mp4	MP4	32.8 MB
9. Matplotlib Scatter.mp4	MP4	14.3 MB
9. Python structures IF ELIF ELSE.mp4	MP4	40.9 MB
9. The stochastic initialization problem.mp4	MP4	25 MB
Bonus Resources.txt	TXT	409.6 B
Get Bonus Crypto Downloads Here.url	URL	204.8 B

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Udemy - Deep Learning for algorithmic trading using Python

Torrent Contents Size: 2.5 GB

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