| 1. Bonus lecture.html | 1.4 KB | ||
| 1. Introduction.mp4 | 7 MB | ||
| 1. Introduction.srt | 819.2 B | ||
| 1. READ ME.html | 1 KB | ||
| 10. Create a portfolio of trading strategies.mp4 | 28.4 MB | ||
| 10. Create a portfolio of trading strategies.srt | 3.5 KB | ||
| 10. Dispersion measure The variance.mp4 | 12.8 MB | ||
| 10. Dispersion measure The variance.srt | 2.3 KB | ||
| 10. Live Trading application moving averages + rsi.mp4 | 22.1 MB | ||
| 10. Live Trading application moving averages + rsi.srt | 2.1 KB | ||
| 10. Matplotlib Scatter.mp4 | 14.3 MB | ||
| 10. Matplotlib Scatter.srt | 1.5 KB | ||
| 10. Python structures For.mp4 | 29.9 MB | ||
| 10. Python structures For.srt | 4.3 KB | ||
| 11. Application Compute variance returns + Variance annualization.mp4 | 7.4 MB | ||
| 11. Application Compute variance returns + Variance annualization.srt | 1.1 KB | ||
| 11. Python structures While.mp4 | 14.3 MB | ||
| 11. Python structures While.srt | 2.2 KB | ||
| 12. Dispersion measure The standard deviation.mp4 | 10.3 MB | ||
| 12. Dispersion measure The standard deviation.srt | 1.7 KB | ||
| 12. Functions Basics of function.mp4 | 32.7 MB | ||
| 12. Functions Basics of function.srt | 4.7 KB | ||
| 13. Application Compute the volatility + Annualize the volatility.mp4 | 29.3 MB | ||
| 13. Application Compute the volatility + Annualize the volatility.srt | 3.5 KB | ||
| 13. Functions Local variable.mp4 | 14.3 MB | ||
| 13. Functions Local variable.srt | 1.8 KB | ||
| 14. Functions Global variable.mp4 | 12.7 MB | ||
| 14. Functions Global variable.srt | 1.3 KB | ||
| 14. Relationship measure Covariance covariance matrix.mp4 | 24.6 MB | ||
| 14. Relationship measure Covariance covariance matrix.srt | 4.2 KB | ||
| 15. Application Assets covariance.mp4 | 37.8 MB | ||
| 15. Application Assets covariance.srt | 4.7 KB | ||
| 15. Functions Lambda function.mp4 | 13.2 MB | ||
| 15. Functions Lambda function.srt | 1.7 KB | ||
| 16. Relationship measure Correlation.mp4 | 14.4 MB | ||
| 16. Relationship measure Correlation.srt | 2.2 KB | ||
| 17. Application Assets correlation.mp4 | 20.6 MB | ||
| 17. Application Assets correlation.srt | 3.5 KB | ||
| 18. DOWNLOAD summary sheet about descriptive statistics.html | 0 B | ||
| 18.1 Descriptive statistics 1.png | 312.4 KB | ||
| 18.2 Descriptive statistics 2.png | 208.2 KB | ||
| 2. Algorithmic trading vs quantitative trading.mp4 | 10.8 MB | ||
| 2. Algorithmic trading vs quantitative trading.srt | 2.2 KB | ||
| 2. Import & manage data from Metatrader 5.mp4 | 112.2 MB | ||
| 2. Import & manage data from Metatrader 5.srt | 13.5 KB | ||
| 2. Install a library on Jupyter.mp4 | 8.9 MB | ||
| 2. Install a library on Jupyter.srt | 1 KB | ||
| 2. Install the environments.html | 1.1 KB | ||
| 2. Numpy Array.mp4 | 60.1 MB | ||
| 2. Numpy Array.srt | 9 KB | ||
| 2. Population versus sample.mp4 | 7.6 MB | ||
| 2. Population versus sample.srt | 1.5 KB | ||
| 2. Recap.mp4 | 11.4 MB | ||
| 2. Recap.srt | 819.2 B | ||
| 2. Simple moving average.mp4 | 43.8 MB | ||
| 2. Simple moving average.srt | 4.5 KB | ||
| 2. Sortino ratio computation.mp4 | 57.5 MB | ||
| 2. Sortino ratio computation.srt | 5.9 KB | ||
| 2. Type of object Number.mp4 | 24 MB | ||
| 2. Type of object Number.srt | 3.4 KB | ||
| 2. What is the Hurst exponent.mp4 | 12.2 MB | ||
| 2. What is the Hurst exponent.srt | 2 KB | ||
| 3. Application create google stock price sample.mp4 | 30.5 MB | ||
| 3. Application create google stock price sample.srt | 2.6 KB | ||
| 3. Beta ratio computation (CAPM metric).mp4 | 72.7 MB | ||
| 3. Beta ratio computation (CAPM metric).srt | 7.2 KB | ||
| 3. Compute the RSI.mp4 | 19.1 MB | ||
| 3. Compute the RSI.srt | 2.3 KB | ||
| 3. Create trading system.mp4 | 9.2 MB | ||
| 3. Create trading system.srt | 3.5 KB | ||
| 3. How to find if is this asset is Trending or not.mp4 | 34.8 MB | ||
| 3. How to find if is this asset is Trending or not.srt | 4 KB | ||
| 3. Import & manage data from Yahoo finance.mp4 | 41.4 MB | ||
| 3. Import & manage data from Yahoo finance.srt | 5 KB | ||
| 3. Initialize the platform.mp4 | 14.7 MB | ||
| 3. Initialize the platform.srt | 1.5 KB | ||
| 3. Numpy Random.mp4 | 54.1 MB | ||
| 3. Numpy Random.srt | 5.6 KB | ||
| 3. Strategy explanation.mp4 | 25.1 MB | ||
| 3. Strategy explanation.srt | 3.6 KB | ||
| 3. Type of object String.mp4 | 83.6 MB | ||
| 3. Type of object String.srt | 8.6 KB | ||
| 4. Add multiple conditions to take a position.mp4 | 59.1 MB | ||
| 4. Add multiple conditions to take a position.srt | 7.1 KB | ||
| 4. Alpha ratio computation (CAPM metric).mp4 | 23.6 MB | ||
| 4. Alpha ratio computation (CAPM metric).srt | 2.4 KB | ||
| 4. Central tendency measure The mean.mp4 | 8.5 MB | ||
| 4. Central tendency measure The mean.srt | 1.6 KB | ||
| 4. Contract for Difference (CFD).mp4 | 8.9 MB | ||
| 4. Contract for Difference (CFD).srt | 2.8 KB | ||
| 4. Get data broker.mp4 | 23.1 MB | ||
| 4. Get data broker.srt | 2.5 KB | ||
| 4. How to find if is this asset is Mean reverting or not.mp4 | 22.2 MB | ||
| 4. How to find if is this asset is Mean reverting or not.srt | 3.4 KB | ||
| 4. How to verify our trading position.mp4 | 33.1 MB | ||
| 4. How to verify our trading position.srt | 3.4 KB | ||
| 4. Numpy Indexing Slicing transformation.mp4 | 85.5 MB | ||
| 4. Numpy Indexing Slicing transformation.srt | 10.9 KB | ||
| 4. Type of object Logical operations Boolean.mp4 | 25.7 MB | ||
| 4. Type of object Logical operations Boolean.srt | 3.9 KB | ||
| 5. Application Compute mean Google return + Annualization of returns.mp4 | 37.8 MB | ||
| 5. Application Compute mean Google return + Annualization of returns.srt | 5.3 KB | ||
| 5. Compute the profit of a trading strategy.mp4 | 59.8 MB | ||
| 5. Compute the profit of a trading strategy.srt | 9 KB | ||
| 5. Drawdown function creation.mp4 | 28.7 MB | ||
| 5. Drawdown function creation.srt | 3 KB | ||
| 5. Entry & Exit signals.mp4 | 19.5 MB | ||
| 5. Entry & Exit signals.srt | 4.7 KB | ||
| 5. How to find if is this asset follows a random walk or not.mp4 | 19.8 MB | ||
| 5. How to find if is this asset follows a random walk or not.srt | 2.9 KB | ||
| 5. Pandas Serie and DataFrame.mp4 | 31.2 MB | ||
| 5. Pandas Serie and DataFrame.srt | 4.1 KB | ||
| 5. Send orders on the market using python.mp4 | 44.5 MB | ||
| 5. Send orders on the market using python.srt | 4.3 KB | ||
| 5. Type of object Variable assignment.mp4 | 37 MB | ||
| 5. Type of object Variable assignment.srt | 5 KB | ||
| 5. Verify if the positions are correctly implemented.mp4 | 33.2 MB | ||
| 5. Verify if the positions are correctly implemented.srt | 3.4 KB | ||
| 6. Adapt your strategy to your data!.mp4 | 37.7 MB | ||
| 6. Adapt your strategy to your data!.srt | 4.4 KB | ||
| 6. Central tendency measure The median.mp4 | 17.4 MB | ||
| 6. Central tendency measure The median.srt | 3.2 KB | ||
| 6. Compute the profits.mp4 | 8.7 MB | ||
| 6. Compute the profits.srt | 1.3 KB | ||
| 6. Drawdown function application.mp4 | 27.4 MB | ||
| 6. Drawdown function application.srt | 2.8 KB | ||
| 6. Get current positions.mp4 | 19.4 MB | ||
| 6. Get current positions.srt | 1.9 KB | ||
| 6. How to automate the strategy.mp4 | 25.2 MB | ||
| 6. How to automate the strategy.srt | 2.9 KB | ||
| 6. Pandas Cleaning and selection data.mp4 | 81.5 MB | ||
| 6. Pandas Cleaning and selection data.srt | 10 KB | ||
| 6. Risk return couple.mp4 | 12.5 MB | ||
| 6. Risk return couple.srt | 2.7 KB | ||
| 6. Type of object Tuple and list.mp4 | 49.8 MB | ||
| 6. Type of object Tuple and list.srt | 6.7 KB | ||
| 6.1 assets.csv | 3.1 MB | ||
| 7. Apply a stop loss (SL) on your returns.mp4 | 99.2 MB | ||
| 7. Apply a stop loss (SL) on your returns.srt | 12.4 KB | ||
| 7. Backtesting function (1).mp4 | 21.2 MB | ||
| 7. Backtesting function (1).srt | 2.1 KB | ||
| 7. Extreme value problem Compute the median.mp4 | 13.9 MB | ||
| 7. Extreme value problem Compute the median.srt | 1.5 KB | ||
| 7. Most important video Performance depending of the data!.mp4 | 24.9 MB | ||
| 7. Most important video Performance depending of the data!.srt | 3 KB | ||
| 7. Pandas Conditional selection.mp4 | 81.6 MB | ||
| 7. Pandas Conditional selection.srt | 10 KB | ||
| 7. Prerequisites.mp4 | 16.1 MB | ||
| 7. Prerequisites.srt | 4.9 KB | ||
| 7. Run structure creation.mp4 | 32.7 MB | ||
| 7. Run structure creation.srt | 2.8 KB | ||
| 7. Type of object Dictionary.mp4 | 46.7 MB | ||
| 7. Type of object Dictionary.srt | 5.8 KB | ||
| 8. Automate the strategy.mp4 | 7.9 MB | ||
| 8. Automate the strategy.srt | 1.3 KB | ||
| 8. Backtesting function (2).mp4 | 24.2 MB | ||
| 8. Backtesting function (2).srt | 2.2 KB | ||
| 8. Central tendency measure The percentile.mp4 | 10.5 MB | ||
| 8. Central tendency measure The percentile.srt | 2 KB | ||
| 8. Close all positions.mp4 | 32.7 MB | ||
| 8. Close all positions.srt | 2.8 KB | ||
| 8. Matplotlib Graph.mp4 | 19.7 MB | ||
| 8. Matplotlib Graph.srt | 1.9 KB | ||
| 8. Type of object Set.mp4 | 28.7 MB | ||
| 8. Type of object Set.srt | 3.7 KB | ||
| 9. Application Understand Google return distribution.mp4 | 28.2 MB | ||
| 9. Application Understand Google return distribution.srt | 3.5 KB | ||
| 9. Backtest our strategy.mp4 | 32.9 MB | ||
| 9. Backtest our strategy.srt | 3.8 KB | ||
| 9. Compare the same strategy using different data sources.mp4 | 12.4 MB | ||
| 9. Compare the same strategy using different data sources.srt | 1.2 KB | ||
| 9. Live Trading application random signal.mp4 | 32.8 MB | ||
| 9. Live Trading application random signal.srt | 3.2 KB | ||
| 9. Matplotlib Toolbox.mp4 | 17.6 MB | ||
| 9. Matplotlib Toolbox.srt | 2 KB | ||
| 9. Python structures If Elif Else.mp4 | 40.9 MB | ||
| 9. Python structures If Elif Else.srt | 5.1 KB | ||
| AUDCAD_D1.csv | 163.4 KB | ||
| AUDUSD_D1.csv | 157.6 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| DS_Store | 6 KB | ||
| EURGBP_D1.csv | 157.7 KB | ||
| EURUSD_D1.csv | 157.4 KB | ||
| GBPUSD_D1.csv | 158.2 KB | ||
| Get Bonus Crypto Downloads Here.url | 204.8 B | ||
| USDCAD_D1.csv | 157.4 KB | ||
| USDCHF_D1.csv | 157 KB | ||
| USDCNH_D1.csv | 90 KB | ||
| USDJPY_D1.csv | 154.9 KB | ||
| _.DS_Store | 102.4 B | ||
| ▲ 230 total files | |||
Algorithmic trading for beginners from zero to hero
https://FreeCryptoLearn.com
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.60 GB | Duration: 6h 55m
Technical indicators, risk management, Python programming, maths for trading, MetaTrader 5 live trading. Bots included
What you'll learn
Create a trading strategy from scratch, backtest it and optimize it
Basics in Python and Maths for algorithmic trading
Advanced algo trading concepts like Hurst exponent and how to adapt your strategy to your data
Understand how to create and use technical indicators with Python
Backtest your strategy without error using vectorized backtesting
Learn many financial metrics: Sortino ratio, alpha, beta,...
Learn how to analyze your drawdown
Add a stop loss on your strategies
Combine different technical indicators to double your earnings
MetaTrader 5 live trading using Python
Requirements
None. You have to be motivated to learn the techniques of quantitative analysts. You just need a computer and Internet!
Description
Do you want to create algorithmic trading strategies?
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.5 GB | freecoursewb | 2 months | 1 | 9 | |
| 397.5 MB | freecoursewb | 6 months | 10 | 1 | |
| 2.2 GB | freecoursewb | 8 months | 10 | 2 | |
| 2.3 GB | freecoursewb | 1 year | 5 | 0 | |
|
Udemy - Algorithmic Crypto Trading - Make Money with Python Freqtrade Posted by
freecoursewb in Other
|
3.8 GB | freecoursewb | 1 year | 6 | 0 |
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