Tutorials > Monte Carlo Backtesting for Algorithmic Trading Strategies
Monte Carlo Backtesting for Algorithmic Trading StrategiesDate: 29 March 2025 | Posted by: AD-TEAM |
![]() 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 ![]() AusFile https://ausfile.com/t0rge6ebin8r https://ausfile.com/u60hfrj8a7ol https://ausfile.com/6ajoe2okedu0 https://ausfile.com/p6lrvj1v69kb RapidGator https://rapidgator.net/file/4ded94c4c7a8e9144f9ddb05ba0ac932/ https://rapidgator.net/file/de1204127e38077ef45668bac945e185/ https://rapidgator.net/file/d05631df7d4e925af185c4ee4c9b3ca6/ https://rapidgator.net/file/9db6ddbe2b681f0653611bca56a488a4/ TurboBit https://turbobit.net/exks7ubit8em.html https://turbobit.net/xg97sjivgblz.html https://turbobit.net/0a5eus8f283c.html https://turbobit.net/qoqo0cu324nk.html See full article |