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[ FreeCryptoLearn Com ] Udemy - Deep Learning for Algorithmic Trading Using Python

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Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
1EC3C2EE9A199F8EDB6754A7D99B8083321C28AE
Source
Unverified
Total Size
2.48 GB
Total Files
79
Seeders
2
Leechers
1
Health
1.00
Score
5
Type
Bookware

File List

FileSize
Get Bonus Crypto Downloads Here.url185 B
~Get Your Files Here !/1. Introduction/1. READ ME.html1.01 KB
~Get Your Files Here !/1. Introduction/2. Install the environments.html1.13 KB
~Get Your Files Here !/2. Python basics/1. Introduction.mp410.38 MB
~Get Your Files Here !/2. Python basics/10. Python structures FOR.mp429.93 MB
~Get Your Files Here !/2. Python basics/11. Python structures WHILE.mp414.34 MB
~Get Your Files Here !/2. Python basics/12. Functions Basics of function.mp432.71 MB
~Get Your Files Here !/2. Python basics/13. Functions Local variable.mp414.27 MB
~Get Your Files Here !/2. Python basics/14. Functions Global variable.mp412.75 MB
~Get Your Files Here !/2. Python basics/15. Functions Lambda function.mp413.17 MB
~Get Your Files Here !/2. Python basics/2. Type of object Number.mp423.97 MB
~Get Your Files Here !/2. Python basics/3. Type of object String.mp483.58 MB
~Get Your Files Here !/2. Python basics/4. Type of object Logical operations Boolean.mp425.68 MB
~Get Your Files Here !/2. Python basics/5. Type of object Variable assignment.mp437.02 MB
~Get Your Files Here !/2. Python basics/6. Type of object Tuple and list.mp449.84 MB
~Get Your Files Here !/2. Python basics/7. Type of object Dictionary.mp446.75 MB
~Get Your Files Here !/2. Python basics/8. Type of object Set.mp428.72 MB
~Get Your Files Here !/2. Python basics/9. Python structures IF ELIF ELSE.mp440.93 MB
~Get Your Files Here !/3. Python for data science/1. Introduction.mp45.24 MB
~Get Your Files Here !/3. Python for data science/10. Matplotlib Toolbox.mp417.58 MB
~Get Your Files Here !/3. Python for data science/2. Numpy Array.mp460.1 MB
~Get Your Files Here !/3. Python for data science/3. Numpy Random.mp454.14 MB
~Get Your Files Here !/3. Python for data science/4. Numpy Indexing Slicing transformation.mp485.41 MB
~Get Your Files Here !/3. Python for data science/5. Pandas Serie and DataFrame.mp431.24 MB
~Get Your Files Here !/3. Python for data science/6. Pandas Cleaning and selection data.mp481.57 MB
~Get Your Files Here !/3. Python for data science/6.1 assets.csv3.09 MB
~Get Your Files Here !/3. Python for data science/7. Pandas Conditional selection.mp425.97 MB
~Get Your Files Here !/3. Python for data science/8. Matplotlib Graph.mp419.72 MB
~Get Your Files Here !/3. Python for data science/9. Matplotlib Scatter.mp414.35 MB
~Get Your Files Here !/4. Import and manage the data/1. Introduction.mp49.72 MB
~Get Your Files Here !/4. Import and manage the data/2. Import & manage data from Metatrader 5.mp4104.44 MB
~Get Your Files Here !/4. Import and manage the data/3. Import & manage data from Yahoo Finance.mp443.91 MB
~Get Your Files Here !/5. Features engineering/1. Introduction.mp421.45 MB
~Get Your Files Here !/5. Features engineering/2. Get stock prices.mp416.65 MB
~Get Your Files Here !/5. Features engineering/3. Create a simple moving average (SMA).mp442.95 MB
~Get Your Files Here !/5. Features engineering/4. Create a moving standard deviation (MSD).mp420.64 MB
~Get Your Files Here !/5. Features engineering/5. Use the Technical analysis library to compute the RSI indicator.mp429.98 MB
~Get Your Files Here !/5. Features engineering/6. Automatization of the features engineering process.mp419.19 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/1. Introduction.mp412.41 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/10. How to fix the stochastic initialization problem.mp440.34 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/11. Bagging method using the different ANNs.mp457.47 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/2. Quick recap of the DNN theory.mp485.79 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/3. Data import & Features engineering.mp430.81 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/4. Train Test set split (to fit the DNN model).mp442.45 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/5. Why and how to standardize the features.mp434.59 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/6. Create a DNN using Tensorflow 2.0.mp468.73 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/7. Use the DNN predictions to create a trading strategy.mp459.36 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/8. Automate the process.mp435.24 MB
~Get Your Files Here !/6. Deep Neural Networks apply to algorithmic trading/9. The stochastic initialization problem.mp424.97 MB
~Get Your Files Here !/7. Vectorized backtesting/1. Introduction.mp47.37 MB
~Get Your Files Here !/7. Vectorized backtesting/2. Sortino ratio computation.mp457.53 MB
~Get Your Files Here !/7. Vectorized backtesting/3. Beta ratio computation (CAPM metric).mp472.7 MB
~Get Your Files Here !/7. Vectorized backtesting/4. Alpha ratio computation (CAPM metric).mp423.59 MB
~Get Your Files Here !/7. Vectorized backtesting/5. Drawdown function creation.mp428.69 MB
~Get Your Files Here !/7. Vectorized backtesting/6. Drawdown application.mp427.41 MB
~Get Your Files Here !/7. Vectorized backtesting/7. Backtesting function (1).mp421.28 MB
~Get Your Files Here !/7. Vectorized backtesting/8. Backtesting function (2).mp424.22 MB
~Get Your Files Here !/7. Vectorized backtesting/9. Backtest a trading strategy based on DNN.mp415.83 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/1. Introduction.mp48.99 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/2. Theory behind RNNs.mp434.06 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/3. Recap from the DNN chapter.mp451.63 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/4. How to transform 2-dimensional data into 3-dimensional data.mp441.19 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/5. How to create a RNN using TensorFlow 2.0.mp467.14 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/6. Dropout Layer.mp416.65 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/7. RNN prediction to create a trading strategy.mp460.68 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/8. Automate the process.mp417.25 MB
~Get Your Files Here !/8. Recurrent Neural Networks for algorithmic trading/9. Find the best models throughout all the stochastic initialization.mp435.58 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/1. Introduction.mp48.93 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/10. Live Trading strategy based on ANN.mp425.56 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/11. Live Trading strategy based on RNN.mp426.27 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/2. Install a library on Jupyter.mp42.78 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/3. Initialize the platform.mp414.71 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/4. Get data broker.mp423.1 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/5. Send orders on the market using Python.mp444.48 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/6. Get current positions.mp444.48 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/7. Run structure creation.mp432.71 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/8. Close all positions.mp410.85 MB
~Get Your Files Here !/9. MetaTrader 5 live trading using Python/9. Live Trading application random signals.mp432.8 MB
~Get Your Files Here !/Bonus Resources.txt386 B

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