| 001 API and Data.en.srt | 12.1 KB | ||
| 001 API and Data.mp4 | 58.4 MB | ||
| 001 Anaconda and Python Set-up.en.srt | 5.2 KB | ||
| 001 Anaconda and Python Set-up.mp4 | 58.9 MB | ||
| 001 Cryptodatadownload.en.srt | 12.8 KB | ||
| 001 Cryptodatadownload.mp4 | 104.5 MB | ||
| 001 Data and Levels.en.srt | 10.6 KB | ||
| 001 Data and Levels.mp4 | 73.2 MB | ||
| 001 Data.en.srt | 12.3 KB | ||
| 001 Data.mp4 | 108.3 MB | ||
| 001 Introduction to Linear regression.en.srt | 11.8 KB | ||
| 001 Introduction to Linear regression.mp4 | 56.2 MB | ||
| 001 Introduction to Mplfinance.en.srt | 10.5 KB | ||
| 001 Introduction to Mplfinance.mp4 | 65.3 MB | ||
| 001 Introduction to Walk forward optimization.en.srt | 9.7 KB | ||
| 001 Introduction to Walk forward optimization.mp4 | 69.1 MB | ||
| 001 Loading data and Levels.en.srt | 12 KB | ||
| 001 Loading data and Levels.mp4 | 63.1 MB | ||
| 001 Optimization.en.srt | 14.6 KB | ||
| 001 Optimization.mp4 | 122.7 MB | ||
| 002 BTCUSD.csv | 1 MB | ||
| 002 Big bar filter.en.srt | 8.4 KB | ||
| 002 Big bar filter.mp4 | 51.4 MB | ||
| 002 Calculation.en.srt | 9.1 KB | ||
| 002 Calculation.mp4 | 51 MB | ||
| 002 Cryptocompare - Datascrap.en.srt | 9.6 KB | ||
| 002 Cryptocompare - Datascrap.mp4 | 59.5 MB | ||
| 002 Entry to positions and Removing levels.en.srt | 7.6 KB | ||
| 002 Entry to positions and Removing levels.mp4 | 56.1 MB | ||
| 002 Get_data function.en.srt | 12.6 KB | ||
| 002 Get_data function.mp4 | 92.1 MB | ||
| 002 Pandas introduction 1.en.srt | 12.4 KB | ||
| 002 Pandas introduction 1.mp4 | 48 MB | ||
| 002 Pandas_introduction.ipynb | 81.5 KB | ||
| 002 Parameters and results.en.srt | 15.6 KB | ||
| 002 Parameters and results.mp4 | 108.7 MB | ||
| 002 Preparing for optimization.en.srt | 5 KB | ||
| 002 Preparing for optimization.mp4 | 37.7 MB | ||
| 002 Split windows and Strategy modification.en.srt | 12.9 KB | ||
| 002 Split windows and Strategy modification.mp4 | 88.5 MB | ||
| 002 Volume profile.en.srt | 8.8 KB | ||
| 002 Volume profile.mp4 | 68.1 MB | ||
| 003 Backtest.en.srt | 12.9 KB | ||
| 003 Backtest.mp4 | 101.9 MB | ||
| 003 Binance.en.srt | 7.6 KB | ||
| 003 Binance.mp4 | 48.8 MB | ||
| 003 Data_downloader.en.srt | 11.1 KB | ||
| 003 Data_downloader.mp4 | 80.7 MB | ||
| 003 Out of sample test.en.srt | 8.3 KB | ||
| 003 Out of sample test.mp4 | 87.7 MB | ||
| 003 Pandas introduction 2.en.srt | 10.3 KB | ||
| 003 Pandas introduction 2.mp4 | 47.6 MB | ||
| 003 Start of the movement.en.srt | 7.4 KB | ||
| 003 Start of the movement.mp4 | 50.5 MB | ||
| 003 Strategy backtest.en.srt | 9.2 KB | ||
| 003 Strategy backtest.mp4 | 56.2 MB | ||
| 003 Trade management.en.srt | 14.6 KB | ||
| 003 Trade management.mp4 | 107.8 MB | ||
| 003 Volume profile - Value area.en.srt | 13.2 KB | ||
| 003 Volume profile - Value area.mp4 | 77.9 MB | ||
| 003 Walk forward optimization.en.srt | 15.8 KB | ||
| 003 Walk forward optimization.mp4 | 125.9 MB | ||
| 004 Daily range.en.srt | 9.4 KB | ||
| 004 Daily range.mp4 | 54.1 MB | ||
| 004 Data split.en.srt | 8.1 KB | ||
| 004 Data split.mp4 | 66.9 MB | ||
| 004 Plot of results.en.srt | 11.8 KB | ||
| 004 Plot of results.mp4 | 80.6 MB | ||
| 004 Results.en.srt | 4.7 KB | ||
| 004 Results.mp4 | 23.6 MB | ||
| 004 Visualization + Levels.en.srt | 9.8 KB | ||
| 004 Visualization + Levels.mp4 | 70.4 MB | ||
| 004 Visualization.en.srt | 9.4 KB | ||
| 004 Visualization.mp4 | 73.5 MB | ||
| 004 Volume profile - Code cleaning.en.srt | 12.9 KB | ||
| 004 Volume profile - Code cleaning.mp4 | 99.8 MB | ||
| 005 Closest level modification.en.srt | 12.4 KB | ||
| 005 Closest level modification.mp4 | 95 MB | ||
| 005 Plot levels.en.srt | 14.1 KB | ||
| 005 Plot levels.mp4 | 91.7 MB | ||
| 005 Running index.en.srt | 11.8 KB | ||
| 005 Running index.mp4 | 79.4 MB | ||
| 006 Code cleaning and few changes.en.srt | 9 KB | ||
| 006 Code cleaning and few changes.mp4 | 79.7 MB | ||
| 006 Strategy modification.en.srt | 9 KB | ||
| 006 Strategy modification.mp4 | 66.8 MB | ||
| 006 Volume peaks.en.srt | 10.2 KB | ||
| 006 Volume peaks.mp4 | 62.7 MB | ||
| 007 Errors fixing and cleaning.en.srt | 8.9 KB | ||
| 007 Errors fixing and cleaning.mp4 | 72 MB | ||
| 007 Long positions.en.srt | 9.3 KB | ||
| 007 Long positions.mp4 | 82.2 MB | ||
| 007 Resistance levels.en.srt | 12.7 KB | ||
| 007 Resistance levels.mp4 | 125.6 MB | ||
| 008 Metrics.en.srt | 11.2 KB | ||
| 008 Metrics.mp4 | 66.1 MB | ||
| 008 Optimization.en.srt | 20.3 KB | ||
| 008 Optimization.mp4 | 109.8 MB | ||
| 008 Saving levels.en.srt | 9.4 KB | ||
| 008 Saving levels.mp4 | 71.6 MB | ||
| 009 Average results and Drawdown.en.srt | 9.4 KB | ||
| 009 Average results and Drawdown.mp4 | 53.3 MB | ||
| 009 Code cleaning.en.srt | 6.3 KB | ||
| 009 Code cleaning.mp4 | 56.3 MB | ||
| 009 Using optimized parameters.en.srt | 5.7 KB | ||
| 009 Using optimized parameters.mp4 | 37.5 MB | ||
| 010 Monte Carlo.en.srt | 14.1 KB | ||
| 010 Monte Carlo.mp4 | 80.8 MB | ||
| 011 Reversed strategy.en.srt | 8.6 KB | ||
| 011 Reversed strategy.mp4 | 52.3 MB | ||
| API_keys-checkpoint.ipynb | 716.8 B | ||
| API_keys.ipynb | 614.4 B | ||
| BTCUSD.csv | 2.4 MB | ||
| BTCUSDT_1H.csv | 3.8 MB | ||
| BTCUSDT_levels.csv | 15.5 KB | ||
| BTCUSD_a.csv | 2.4 MB | ||
| BTCUSD_levels.csv | 18.3 KB | ||
| Binance_scrap-checkpoint.ipynb | 102.4 B | ||
| Binance_scrap.ipynb | 104.8 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Cryptocompare_datascrap-checkpoint.ipynb | 84.4 KB | ||
| Cryptocompare_datascrap.ipynb | 84.4 KB | ||
| Cryptodatadownload_data_preprocessing-checkpoint.ipynb | 102.4 B | ||
| Cryptodatadownload_data_preprocessing.ipynb | 51 KB | ||
| DS_Store | 6 KB | ||
| Data_split-checkpoint.ipynb | 102.4 B | ||
| Data_split.ipynb | 19.2 KB | ||
| ETHUSD.csv | 2.2 MB | ||
| ETHUSDT_1H.csv | 3.7 MB | ||
| ETHUSDT_levels.csv | 16.2 KB | ||
| ETHUSD_a.csv | 2.2 MB | ||
| ETHUSD_levels.csv | 18.3 KB | ||
| Easier solution-checkpoint.ipynb | 7.1 KB | ||
| Easier solution.ipynb | 7.1 KB | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| LTCUSDT_1H.csv | 3.3 MB | ||
| LTCUSDT_levels.csv | 13.5 KB | ||
| Levels_finder-checkpoint.ipynb | 9.5 KB | ||
| Levels_finder.ipynb | 9.5 KB | ||
| Levels_finder.ipynb copy | 9.4 KB | ||
| Levels_v0-checkpoint.ipynb | 521.7 KB | ||
| Levels_v0.ipynb | 819.9 KB | ||
| Linear_regression-checkpoint.ipynb | 230.6 KB | ||
| Linear_regression.ipynb | 230.6 KB | ||
| Performance-checkpoint.ipynb | 117.8 KB | ||
| Performance.ipynb | 117.8 KB | ||
| Screener-checkpoint.ipynb | 102.4 B | ||
| Screener.ipynb | 265.7 KB | ||
| Strategy-checkpoint.ipynb | 12.3 KB | ||
| Strategy.ipynb | 12.3 KB | ||
| Strategy_backtest-Copy1-checkpoint.ipynb | 7 MB | ||
| Strategy_backtest-Copy1.ipynb | 7 MB | ||
| Strategy_backtest-checkpoint.ipynb | 2.3 MB | ||
| Strategy_backtest.ipynb | 2.3 MB | ||
| Strategy_backtest_reversed-checkpoint.ipynb | 6.7 MB | ||
| Strategy_backtest_reversed.ipynb | 7.1 MB | ||
| Strategy_optimization-checkpoint.ipynb | 14 KB | ||
| Strategy_optimization.ipynb | 14 KB | ||
| Volume_profiles-checkpoint.ipynb | 572.5 KB | ||
| Volume_profiles.ipynb | 572.5 KB | ||
| Walk_forward-Copy1-checkpoint.ipynb | 60.3 KB | ||
| Walk_forward-checkpoint.ipynb | 8.9 KB | ||
| Walk_forward.ipynb | 149 KB | ||
| Walk_forward_1-checkpoint.ipynb | 116.4 KB | ||
| _.DS_Store | 102.4 B | ||
| _BTCUSD.csv | 819.2 B | ||
| _ETHUSD.csv | 819.2 B | ||
| _ETHUSDT_levels.csv | 204.8 B | ||
| mplfinance_visualization-checkpoint.ipynb | 182.7 KB | ||
| mplfinance_visualization.ipynb | 182.7 KB | ||
| params.csv | 102.4 B | ||
| params_df.csv | 0 B | ||
| ▲ 229 total files | |||
Advanced strategy development for Crypto with Python
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 3.95 GB | Duration: 9h 4m
Learn how to get data, build trading system, optimize parameters and run backtest using Python
What you'll learn
Build, optimize and backtest trading system using Python
Description
Lear how to download data for multiple Cryptocurrencies. Build trading system from scratch that uses Volume profiles, linear regression and price action to find interesting price levels where we open position once market returns back.
I will show you how to optimize strategy parameters, run backtests, evaluate results and few more cool stuff that I hope you will find interesting. Then we create screener that automatically download real time data, optimize, backtest and plot our levels so you can monitor multiple instruments easily. At the end you will have several useful tools that you can use for your own algorithmic strategies. And also nice introduction to concepts like Monte Carlo analysis or Walk forward optimization that algorithmic traders use to test their strategies.
Visualization is crucial part of understanding what is happening when you run backtest so I will show you how to get the most out of python visualization libraries that I use most of the time.
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| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.2 GB | SeedHash | 8 months | 7 | 0 | |
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