3.03 GB | 8min 47s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English

Files Included :
1 -Introduction.mp4 (32.9 MB)
2 -Content and Prerequisites.mp4 (58.58 MB)
1 -What is the Monte-Carlo method.mp4 (83.32 MB)
2 -A bit of history.mp4 (39.51 MB)
3 -Why is this method considered powerful.mp4 (37.63 MB)
4 -The core idea of the Monte-Carlo method.mp4 (64.92 MB)
1 -Introduction to random numbers.mp4 (59.2 MB)
2 -True Randomness Vs Pseudo Randomness.mp4 (50.93 MB)
3 -The Linear Congruential Generator.mp4 (48.15 MB)
4 -Parameters and Properties of Random Numbers Generators.mp4 (112.46 MB)
5 -Python Application Coding a number generator and testing its properties.mp4 (57.21 MB)
6 -About Advanced Random Numbers Generators.mp4 (33.97 MB)
7 -Standard Vs NumPy's Generators in Python.mp4 (69.01 MB)
8 -The Rejection Method and Custom Distributions.mp4 (101.75 MB)
9 -Von Neumann Method and Custom Distributions.mp4 (76.19 MB)
1 -Transforming Random Numbers and Ranges.mp4 (32.07 MB)
10 -Laplace Distribution.mp4 (62.33 MB)
11 -Laplace Distribution Python Applications Synthetic Trading Data.mp4 (48.03 MB)
12 -Cauchy Distribution And Python Examples.mp4 (55.16 MB)
13 -Triangle Distribution And Python Examples.mp4 (75.83 MB)
14 -Pareto Distribution.mp4 (33.66 MB)
15 -Pareto Distribution Python Applications Synthetic Trading Data.mp4 (44.75 MB)
16 -Other Distributions In NumPy A Quick Recap.mp4 (44.27 MB)
2 -Random distributions in NumPy.mp4 (42.99 MB)
3 -The Normal Distribution.mp4 (93.43 MB)
4 -The LogNormal Distribution.mp4 (130.22 MB)
5 -LogNormal Python Applications Synthetic Trading Data.mp4 (58.59 MB)
6 -Distributions and Applications Recap.mp4 (17.33 MB)
7 -Student's T Distribution.mp4 (115.95 MB)
8 -Generating Synthetic Trading Data with Student's Distribution Function.mp4 (47.61 MB)
9 -Normal Vs Student's Distributions A Comparison of Synthetic Trading Data.mp4 (80.97 MB)
1 -Introducing Blur NoiseSlippage to Historical Price Data.mp4 (93.76 MB)
2 -Generating Random Slippage Python Example.mp4 (76.61 MB)
3 -Synthetic Price Data With Normally Distributed Slippage Python Example.mp4 (44.73 MB)
4 -Synthetic Prices With Cauchy Distributed Slippage Python Example.mp4 (37.86 MB)
5 -Generating Clusters of Slippage For Major Events Simulation Python Example.mp4 (76.54 MB)
1 -Spread Distribution and Generating Synthetic Spread Data.mp4 (117.97 MB)
1 -Price Variability Distribution.mp4 (23.63 MB)
2 -Fitting Price Variability Laplace Distribution.mp4 (19.05 MB)
3 -Generating Synthetic Prices With Cauchy Distribution.mp4 (97.82 MB)
4 -Synthetic Ask Bid Spread And Candle Sticks.mp4 (50.32 MB)
1 -Sample Trading Strategy.mp4 (37.42 MB)
2 -Defining The Strategy Signals In Python.mp4 (54.26 MB)
3 -Implementing and Backtesting The Strategy In Python.mp4 (123.86 MB)
4 -Randomizing Stop Loss, Applying Slippage And Backtesting.mp4 (88.26 MB)
5 -RandomizingBootstrapping Trades Selection And Human Trader Factor Backtest.mp4 (87.66 MB)
6 -Randomizing Slippage On Entry Prices And Backtest.mp4 (83.04 MB)
7 -Generating Cauchy Clustered Slippage And Random Trades Sampling Backtesting.mp4 (49.26 MB)
8 -Extension Ideas And Final Thoughts.mp4 (53.16 MB)]
Screenshot