| 001 Introduction.mp4 | 5.2 MB | ||
| 001 Introduction_en.vtt | 614.4 B | ||
| 001 READ ME.html | 1 KB | ||
| 001 Tip.html | 0 B | ||
| 002 Arrangement_ Permutation.mp4 | 16.2 MB | ||
| 002 Arrangement_ Permutation_en.vtt | 2.8 KB | ||
| 002 Compute a value at risk.mp4 | 28.8 MB | ||
| 002 Compute a value at risk_en.vtt | 2.4 KB | ||
| 002 Correction exercise 1_ Compute asset risk_return.mp4 | 21 MB | ||
| 002 Correction exercise 1_ Compute asset risk_return_en.vtt | 2.4 KB | ||
| 002 Correction exercise_ Find the number of combinations between forex pairs(1).mp4 | 36.3 MB | ||
| 002 Correction exercise_ Find the number of combinations between forex pairs(1)_en.vtt | 2.4 KB | ||
| 002 Hypothesis test.mp4 | 9.7 MB | ||
| 002 Hypothesis test_en.vtt | 1.7 KB | ||
| 002 Import some data.mp4 | 18.2 MB | ||
| 002 Import some data_en.vtt | 1.3 KB | ||
| 002 Law of probability.mp4 | 20.1 MB | ||
| 002 Law of probability_en.vtt | 3.1 KB | ||
| 002 Numpy_ Array.mp4 | 60.1 MB | ||
| 002 Numpy_ Array_en.vtt | 7.8 KB | ||
| 002 Population versus Sample.mp4 | 7.6 MB | ||
| 002 Population versus Sample_en.vtt | 1.3 KB | ||
| 002 Student test_ practice.mp4 | 61.2 MB | ||
| 002 Student test_ practice_en.vtt | 5.1 KB | ||
| 002 Type of object_ Number.mp4 | 24 MB | ||
| 002 Type of object_ Number_en.vtt | 3 KB | ||
| 002 What a random variable is_.mp4 | 19.4 MB | ||
| 002 What a random variable is__en.vtt | 3.1 KB | ||
| 003 AdFuller test_ practice.mp4 | 36.3 MB | ||
| 003 AdFuller test_ practice_en.vtt | 3.3 KB | ||
| 003 Application_ create google stock prices sample.mp4 | 30.5 MB | ||
| 003 Application_ create google stock prices sample_en.vtt | 2.3 KB | ||
| 003 Arrangement_ Without repetition.mp4 | 27.1 MB | ||
| 003 Arrangement_ Without repetition_en.vtt | 3.8 KB | ||
| 003 Bernoulli law.mp4 | 12.3 MB | ||
| 003 Bernoulli law_en.vtt | 1.7 KB | ||
| 003 Compute basic probability.mp4 | 21.4 MB | ||
| 003 Compute basic probability_en.vtt | 2.1 KB | ||
| 003 Correction exercise 2_ Compute portfolio correlation.mp4 | 27.9 MB | ||
| 003 Correction exercise 2_ Compute portfolio correlation_en.vtt | 3.1 KB | ||
| 003 Correction exercise_ Find the number of combinations between forex pairs(2).mp4 | 25.4 MB | ||
| 003 Correction exercise_ Find the number of combinations between forex pairs(2)_en.vtt | 1.9 KB | ||
| 003 Example + Error threshold.mp4 | 20.7 MB | ||
| 003 Example + Error threshold_en.vtt | 2.9 KB | ||
| 003 Find the best stop loss & take profit.mp4 | 52.2 MB | ||
| 003 Find the best stop loss & take profit_en.vtt | 6.2 KB | ||
| 003 Intersection.mp4 | 20.8 MB | ||
| 003 Intersection_en.vtt | 2.5 KB | ||
| 003 Numpy_ Random.mp4 | 54.1 MB | ||
| 003 Numpy_ Random_en.vtt | 4.9 KB | ||
| 003 Type of object_ String.mp4 | 83.6 MB | ||
| 003 Type of object_ String_en.vtt | 7.4 KB | ||
| 004 Arrangement_ With repetition.mp4 | 19.7 MB | ||
| 004 Arrangement_ With repetition_en.vtt | 2.4 KB | ||
| 004 Binomial law.mp4 | 22.9 MB | ||
| 004 Binomial law_en.vtt | 3.2 KB | ||
| 004 Central tendency measure_ The mean.mp4 | 8.5 MB | ||
| 004 Central tendency measure_ The mean_en.vtt | 1.4 KB | ||
| 004 Create Bollinger bands.mp4 | 39.2 MB | ||
| 004 Create Bollinger bands_en.vtt | 3.9 KB | ||
| 004 Numpy_ Indexing _ slicing _ transformation.mp4 | 85.4 MB | ||
| 004 Numpy_ Indexing _ slicing _ transformation_en.vtt | 9.5 KB | ||
| 004 P value.mp4 | 9.2 MB | ||
| 004 P value_en.vtt | 1.8 KB | ||
| 004 Type of object_ Logical Operation _ Boolean.mp4 | 25.7 MB | ||
| 004 Type of object_ Logical Operation _ Boolean_en.vtt | 3.4 KB | ||
| 004 Union.mp4 | 34.8 MB | ||
| 004 Union_en.vtt | 3.4 KB | ||
| 005 Application_ compute mean Google return + Annualization of returns.mp4 | 37.8 MB | ||
| 005 Application_ compute mean Google return + Annualization of returns_en.vtt | 4.6 KB | ||
| 005 Combination_ Without repetition.mp4 | 17.3 MB | ||
| 005 Combination_ Without repetition_en.vtt | 2.1 KB | ||
| 005 Computation for Bollinger bands strategy.mp4 | 119.8 MB | ||
| 005 Computation for Bollinger bands strategy_en.vtt | 11 KB | ||
| 005 Independent event.mp4 | 23.9 MB | ||
| 005 Independent event_en.vtt | 2.9 KB | ||
| 005 Pandas_ Serie and dataframe.mp4 | 31.2 MB | ||
| 005 Pandas_ Serie and dataframe_en.vtt | 3.6 KB | ||
| 005 Poisson law.mp4 | 8.7 MB | ||
| 005 Poisson law_en.vtt | 1.2 KB | ||
| 005 Type of object_ Variable assignment.mp4 | 37 MB | ||
| 005 Type of object_ Variable assignment_en.vtt | 4.3 KB | ||
| 006 Central tendency measure_ The median.mp4 | 17.4 MB | ||
| 006 Central tendency measure_ The median_en.vtt | 2.8 KB | ||
| 006 Combination_ With repetition.mp4 | 9.7 MB | ||
| 006 Combination_ With repetition_en.vtt | 1.2 KB | ||
| 006 Complementary event.mp4 | 8.5 MB | ||
| 006 Complementary event_en.vtt | 819.2 B | ||
| 006 Compute conditional probability of increase.mp4 | 91.8 MB | ||
| 006 Compute conditional probability of increase_en.vtt | 7.5 KB | ||
| 006 Continuous uniform law.mp4 | 27.4 MB | ||
| 006 Continuous uniform law_en.vtt | 4.3 KB | ||
| 006 Pandas_ Cleaning and selection.mp4 | 81.6 MB | ||
| 006 Pandas_ Cleaning and selection_en.vtt | 8.6 KB | ||
| 006 Type of object_ Tuple and list.mp4 | 49.8 MB | ||
| 006 Type of object_ Tuple and list_en.vtt | 5.8 KB | ||
| 007 Application_ Extreme value problem_ Compute the median.mp4 | 13.9 MB | ||
| 007 Application_ Extreme value problem_ Compute the median_en.vtt | 1.3 KB | ||
| 007 Conditional probability.mp4 | 22.6 MB | ||
| 007 Conditional probability_en.vtt | 2.9 KB | ||
| 007 Exponential law.mp4 | 16 MB | ||
| 007 Exponential law_en.vtt | 2.3 KB | ||
| 007 Pandas_ Conditional selection.mp4 | 26 MB | ||
| 007 Pandas_ Conditional selection_en.vtt | 2.6 KB | ||
| 007 Type of object_ Dictionary.mp4 | 46.7 MB | ||
| 007 Type of object_ Dictionary_en.vtt | 5.1 KB | ||
| 008 Bayes theorem.mp4 | 6 MB | ||
| 008 Bayes theorem_en.vtt | 2.4 KB | ||
| 008 Central tendency measure_ The percentile.mp4 | 10.5 MB | ||
| 008 Central tendency measure_ The percentile_en.vtt | 1.8 KB | ||
| 008 Matplotlib_ Graph.mp4 | 19.7 MB | ||
| 008 Matplotlib_ Graph_en.vtt | 1.6 KB | ||
| 008 Normal law.mp4 | 10.8 MB | ||
| 008 Normal law_en.vtt | 1.7 KB | ||
| 008 Type of object_ Set.mp4 | 28.7 MB | ||
| 008 Type of object_ Set_en.vtt | 3.2 KB | ||
| 009 Application_ Understand Google return distribution.mp4 | 28.2 MB | ||
| 009 Application_ Understand Google return distribution_en.vtt | 3 KB | ||
| 009 Matplotlib_ Scatter.mp4 | 14.3 MB | ||
| 009 Matplotlib_ Scatter_en.vtt | 1.3 KB | ||
| 009 Python structures_ If _ Elif _ Else.mp4 | 40.9 MB | ||
| 009 Python structures_ If _ Elif _ Else_en.vtt | 4.4 KB | ||
| 010 Dispersion measure_ The variance.mp4 | 12.8 MB | ||
| 010 Dispersion measure_ The variance_en.vtt | 1.9 KB | ||
| 010 Matplotlib_ Toolbox.mp4 | 17.6 MB | ||
| 010 Matplotlib_ Toolbox_en.vtt | 1.8 KB | ||
| 010 Python structures_ For.mp4 | 29.9 MB | ||
| 010 Python structures_ For_en.vtt | 3.8 KB | ||
| 011 Application_ Compute variance returns + Variance annualization.mp4 | 7.4 MB | ||
| 011 Application_ Compute variance returns + Variance annualization_en.vtt | 1 KB | ||
| 011 Python structures_ While.mp4 | 14.3 MB | ||
| 011 Python structures_ While_en.vtt | 1.9 KB | ||
| 012 Dispersion measure_ The standard deviation.mp4 | 10.3 MB | ||
| 012 Dispersion measure_ The standard deviation_en.vtt | 1.5 KB | ||
| 012 Functions_ Basics of function.mp4 | 32.7 MB | ||
| 012 Functions_ Basics of function_en.vtt | 4.1 KB | ||
| 013 Application_ Compute the volatility + Annualize the volatility.mp4 | 29.4 MB | ||
| 013 Application_ Compute the volatility + Annualize the volatility_en.vtt | 3.1 KB | ||
| 013 Functions_ Local variable.mp4 | 14.3 MB | ||
| 013 Functions_ Local variable_en.vtt | 1.5 KB | ||
| 014 Functions_ Global variable.mp4 | 12.7 MB | ||
| 014 Functions_ Global variable_en.vtt | 1.1 KB | ||
| 014 Relationship measure_ Covariance _ covariance matrix.mp4 | 24.6 MB | ||
| 014 Relationship measure_ Covariance _ covariance matrix_en.vtt | 3.7 KB | ||
| 015 Application_ Assets covariance.mp4 | 37.8 MB | ||
| 015 Application_ Assets covariance_en.vtt | 4.1 KB | ||
| 015 Functions_ Lambda function.mp4 | 13.2 MB | ||
| 015 Functions_ Lambda function_en.vtt | 1.5 KB | ||
| 016 Relationship measure_ Correlation.mp4 | 14.4 MB | ||
| 016 Relationship measure_ Correlation_en.vtt | 1.9 KB | ||
| 017 Application_ Assets correlation.mp4 | 20.5 MB | ||
| 017 Application_ Assets correlation_en.vtt | 3 KB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Crypto Downloads Here.url | 204.8 B | ||
| ▲ 176 total files | |||
Statistics and probability for Quantitative finance
https://FreeCryptoLearn.com
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.18 GB | Duration: 6h 7m
Learning by doing! Apply statistics on Trading and quantitative finance. (Forex, crypto, stocks )
What you'll learn
Find optimal stop loss & take profit using probability distribution
Understand Student test and apply it to portfolio management problem
Use probability distribution to compute the Value at Risk (VaR)
Compute correlation between assets properly
Understand the main financial statistics: mean, variance, standard-deviation, skewness, kurtosis, covariance, correlation, ...
Compute conditional probability to create a strategy with 70% beneficial trades
Master combinatorial statistics
Learn the basis of probability: random variables, intersection, union, independency, conditional probability ...
Learn bayes theorem
Learn the most used law of probability in finance: Bernoulli, Binomial, Poisson, Uniform, Exponential, Normal,...
Learn how statistical test works
Requirements
Nothing. Just be motivated to learn the quant technics
Description
You already have knowledge in finance and you want to go deeper to monetize and diversify your knowledge?
You already have some trading knowledge and you want to learn about quantitative trading/finance?
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 1.2 GB | freecoursewb | 5 months | 11 | 9 | |
| 1.3 GB | freecoursewb | 5 months | 0 | 0 | |
| 665.4 MB | freecoursewb | 5 months | 10 | 5 | |
| 1.4 GB | freecoursewb | 8 months | 16 | 13 | |
|
Udemy - Applied Statistics and Probability for Data Science - Python Posted by
freecoursewb in Other
|
1.5 GB | freecoursewb | 8 months | 4 | 1 |
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