Udemy - Statistical Inferencing For Quantitative Trading Strategies

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Udemy - Statistical Inferencing For Quantitative Trading Strategies (Size: 2.4 GB)
  1 - Introduction English.vtt 7.6 KB
  1 - Introduction.mp4 75.6 MB
  10 - Monte Carlo Permutation Tests English.vtt 9 KB
  10 - Monte Carlo Permutation Tests.mp4 34.9 MB
  11 - Univariate Null Distributions English.vtt 8.6 KB
  11 - Univariate Null Distributions.mp4 80.7 MB
  11 - permutation-algorithms.pdf 639.7 KB
  12 - Multivariate Null Distributions English.vtt 15.3 KB
  12 - Multivariate Null Distributions.mp4 104 MB
  13 - Python Implementation for Statistical Null English.vtt 11.6 KB
  13 - Python Implementation for Statistical Null.mp4 105.1 MB
  14 - Constructing the Hypothesis Test English.vtt 9.8 KB
  14 - Constructing the Hypothesis Test.mp4 69.8 MB
  14 - nonparametric-permutation-test.pdf 285.1 KB
  15 - Hypothesis Test for Model Overfitting on Trading Strategy English.vtt 8 KB
  15 - Hypothesis Test for Model Overfitting on Trading Strategy.mp4 128.3 MB
  15 - lecture-notes.pdf 1.1 MB
  16 - Hypothesis Test for Trading Strategy on OOS Data English.vtt 11 KB
  16 - Hypothesis Test for Trading Strategy on OOS Data.mp4 146.4 MB
  17 - Python Implementation Analysis on Trend Following English.vtt 14.7 KB
  17 - Python Implementation Analysis on Trend Following.mp4 285.8 MB
  18 - Hypothesis Test for Selection Bias across Multiple Strategies English.vtt 19.1 KB
  18 - Hypothesis Test for Selection Bias across Multiple Strategies.mp4 256.3 MB
  19 - Python Implementation of the RomanoWolf Stepdown English.vtt 15.5 KB
  19 - Python Implementation of the RomanoWolf Stepdown.mp4 289.8 MB
  2 - Finance Basics English.vtt 23.5 KB
  2 - Finance Basics.mp4 103.4 MB
  2 - returns.pdf 290 KB
  3 - Probability Statistics Basics English.vtt 8.9 KB
  3 - Probability Statistics Basics.mp4 100.5 MB
  3 - random-variables.pdf 350.4 KB
  4 - Inferences and Hypothesis Testing English.vtt 12.8 KB
  4 - Inferences and Hypothesis Testing.mp4 73.3 MB
  4 - hypothesis-testing.pdf 436.3 KB
  5 - Multiple Testing and Inferencing Errors English.vtt 10.5 KB
  5 - Multiple Testing and Inferencing Errors.mp4 71.1 MB
  6 - Parametric Tests for Expected Returns English.vtt 12.8 KB
  6 - Parametric Tests for Expected Returns.mp4 133.3 MB
  6 - parametric-tests.pdf 453.1 KB
  7 - Nonparametric Tests for Median Returns English.vtt 12.1 KB
  7 - Nonparametric Tests for Median Returns.mp4 123.2 MB
  7 - nonparametric-tests.pdf 334.4 KB
  7 - regression profiling of trend strategies.txt 0 B
  8 - Python Implementation for Backtesting Strategies English.vtt 12.4 KB
  8 - Python Implementation for Backtesting Strategies.mp4 98.3 MB
  9 - Python Implementation for Portfolio ReturnsMeans English.vtt 18.9 KB
  9 - Python Implementation for Portfolio ReturnsMeans.mp4 186.1 MB
  Bonus Resources.txt 102.4 B
  DS_Store 6 KB
  Get Bonus Downloads Here.url 204.8 B
  README.md 1 KB
  STATISTICAL INFERENCING FOR QUANTITATIVE 102.4 B
  _.DS_Store 102.4 B
  _README.md 204.8 B
  _STATISTICAL INFERENCING FOR QUANTITATIVE 204.8 B
  ___init__.cpython-311.pyc 204.8 B
  ___init__.cpython-313.pyc 204.8 B
  ___init__.py 204.8 B
  ___pycache__ 204.8 B
  __init__.cpython-311.pyc 204.8 B
  __init__.cpython-313.pyc 204.8 B
  __init__.py 0 B
  _aiosonic.cpython-311.pyc 204.8 B
  _aiosonic.py 204.8 B
  _alpha.cpython-311.pyc 204.8 B
  _alpha.py 204.8 B
  _binance.cpython-311.pyc 204.8 B
  _binance.cpython-313.pyc 204.8 B
  _binance.py 204.8 B
  _decorators.cpython-311.pyc 204.8 B
  _decorators.py 204.8 B
  _disclaimer.txt 204.8 B
  _exceptions.cpython-311.pyc 204.8 B
  _exceptions.py 204.8 B
  _location_tests.py 204.8 B
  _main.py 204.8 B
  _ohlcvs.pickle 204.8 B
  _permutation_tests.py 204.8 B
  _permutations.py 204.8 B
  _quantpylib 204.8 B
  _rate_semaphore.cpython-311.pyc 204.8 B
  _rate_semaphore.py 204.8 B
  _requirements.txt 204.8 B
  _simulator 204.8 B
  _strategies.py 204.8 B
  _throttler 204.8 B
  _wrappers 204.8 B
  aiosonic.cpython-311.pyc 6.1 KB
  aiosonic.py 4.7 KB
  alpha.cpython-311.pyc 15.9 KB
  alpha.py 9.1 KB
  binance.cpython-311.pyc 9.7 KB
  binance.cpython-313.pyc 8.7 KB
  binance.py 6.3 KB
  decorators.cpython-311.pyc 8.4 KB
  decorators.py 6.6 KB
  disclaimer.txt 921.6 B
  exceptions.cpython-311.pyc 1.5 KB
  exceptions.py 716.8 B
  location_tests.py 2.3 KB
  main.py 2.9 KB
  ohlcvs.pickle 371.3 KB
  permutation_tests.py 3.5 KB
  permutations.py 6.6 KB
  rate_semaphore.cpython-311.pyc 16.8 KB
  rate_semaphore.py 12.7 KB
  requirements.txt 102.4 B
  strategies.py 1.9 KB
  ▲ 114 total files

Description


Statistical Inferencing For Quantitative Trading Strategies

https://WebToolTip.com

Last updated 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.41 GB | Duration: 4h 8m

Learn how to apply probability theory and statistical inferencing techniques to validate algorithmic trading strategies.

What you'll learn
Learn basics for finance and probability theory for algorithmic trading.
Learn statistical inferencing techniques such as parametric and nonparametric hypothesis tests.
Employ statistical learning techniques on quantitative trading strategies in Python.
Learn practical validation methods quants use before taking strategies into production.

Requirements
Basic-intermediate Python programming.

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