Download Udemy - MQL4 Special Course - Two Pairs Arbitrage 2022 torrent

Udemy - MQL4 Special Course - Two Pairs Arbitrage 2022

Torrent:	Udemy - MQL4 Special Course - Two Pairs Arbitrage 2022
Description:	MQL4 Special Course - Two Pairs Arbitrage 2022 https://WebToolTip.com Last updated 8/2022 MP4 \| Video: h264, 1280x720 \| Audio: AAC, 44.1 KHz, 2 Ch Language: English \| Duration: 1h 10m \| Size: 546.58 MB An advanced MQL4 programming & algorithm trading & automatic trading system development course What you'll learn Key concepts of arbitrage. How to implement the arbitrage strategy into an algorithm trading system. How to set target profit of an algorithm trading system. Basics of MQL4 grammar such as variables, functions, and statements. Requirements MQL4 grammar (particularly about variables, functions and statements)
Downloads:	13
Category:	Other /Tutorials
Size:	1.7 GB
Show Files »	[ WebToolTip.com ] Udemy - MQL4 Special Course - Two Pairs Arbitrage 2022 Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction 1. Introduction.en_US.srt (7.4 KB) 1. Introduction.mp4 (22.3 MB) 2. Reinforcement Learning series.html (6.9 KB) 3. Google Colab.en_US.srt (1.7 KB) 3. Google Colab.mp4 (3.6 MB) 4. Where to begin.en_US.srt (1.2 KB) 4. Where to begin.mp4 (2.1 MB) 5. Complete code.html (5.4 KB) 6. Connect with me on social media.html (5.7 KB) __MACOSX advanced_rl_pg_methods_complete _2_REINFORCE_continuous.ipynb (0.3 KB) _4_proximal_policy_optimization.ipynb (0.3 KB) _5_generalized_advantage_estimation.ipynb (0.3 KB) _6_TRPO.ipynb (0.3 KB) advanced_rl_pg_methods_complete 1_REINFORCE.ipynb (15.5 KB) 2_REINFORCE_continuous.ipynb (20.9 KB) 3_advantage_actor_critic.ipynb (14.8 KB) 4_proximal_policy_optimization.ipynb (20.3 KB) 5_generalized_advantage_estimation.ipynb (21.2 KB) 6_TRPO.ipynb (29.0 KB) 10 - Advantage Actor Critic (A2C) 59. A2C.en_US.srt (10.6 KB) 59. A2C.mp4 (29.2 MB) 60. Link to the code notebook.html (5.6 KB) 61. Create the policy and value network.en_US.srt (4.5 KB) 61. Create the policy and value network.mp4 (27.0 MB) 62. Create the environment.en_US.srt (5.9 KB) 62. Create the environment.mp4 (17.4 MB) 63. Create the dataset.en_US.srt (2.5 KB) 63. Create the dataset.mp4 (10.0 MB) 64. Implement A2C - Part 1.en_US.srt (4.9 KB) 64. Implement A2C - Part 1.mp4 (19.1 MB) 65. Implement A2C - Part 2.en_US.srt (8.9 KB) 65. Implement A2C - Part 2.mp4 (51.5 MB) 66. Check the resulting agent.en_US.srt (2.3 KB) 66. Check the resulting agent.mp4 (19.2 MB) 11 - Trust region methods 67. Line search vs trust region methods.en_US.srt (2.6 KB) 67. Line search vs trust region methods.mp4 (4.2 MB) 68. Line search methods.en_US.srt (7.2 KB) 68. Line search methods.mp4 (20.5 MB) 69. Trust region methods 1.en_US.srt (3.4 KB) 69. Trust region methods 1.mp4 (8.9 MB) 70. Kullback-Leibler divergence.en_US.srt (4.7 KB) 70. Kullback-Leibler divergence.mp4 (8.2 MB) 71. Trust region methods 2.en_US.srt (11.4 KB) 71. Trust region methods 2.mp4 (20.3 MB) 72. Trust region methods 3.en_US.srt (3.1 KB) 72. Trust region methods 3.mp4 (4.9 MB) 12 - Proximal Policy Optimization (PPO) 73. Proximal Policy Optimization.en_US.srt (9.9 KB) 73. Proximal Policy Optimization.mp4 (20.8 MB) 74. Link to the code notebook.html (5.6 KB) 75. Create the environment.en_US.srt (7.8 KB) 75. Create the environment.mp4 (61.2 MB) 76. Create the dataset.en_US.srt (6.7 KB) 76. Create the dataset.mp4 (26.4 MB) 77. Create the PPO algorithm - Part 1.en_US.srt (4.9 KB) 77. Create the PPO algorithm - Part 1.mp4 (29.2 MB) 78. Create the PPO algorithm - Part 2.en_US.srt (10.2 KB) 78. Create the PPO algorithm - Part 2.mp4 (91.6 MB) 79. Check the resulting agent.en_US.srt (1.9 KB) 79. Check the resulting agent.mp4 (13.2 MB) 13 - Generalized Advantage Estimation (GAE) 80. Generalized Advantage Estimation.en_US.srt (12.5 KB) 80. Generalized Advantage Estimation.mp4 (21.2 MB) 81. Link to the code notebook.html (5.6 KB) 82. Create the Half Cheetah environment.en_US.srt (5.0 KB) 82. Create the Half Cheetah environment.mp4 (38.7 MB) 83. Create the dataset.en_US.srt (10.0 KB) 83. Create the dataset.mp4 (40.1 MB) 84. PPO with generalized advantage estimation - Part 1.en_US.srt (3.3 KB) 84. PPO with generalized advantage estimation - Part 1.mp4 (15.3 MB) 85. PPO with generalized advantage estimation - Part 2.en_US.srt (5.2 KB) 85. PPO with generalized advantage estimation - Part 2.mp4 (33.8 MB) 86. Checking the resulting agent.en_US.srt (1.0 KB) 86. Checking the resulting agent.mp4 (10.4 MB) 14 - Trust Region Policy Optimization (TRPO) 87. Trust region policy optimization 1.en_US.srt (3.9 KB) 87. Trust region policy optimization 1.mp4 (6.5 MB) 88. Trust region policy optimization 2.en_US.srt (6.2 KB) 88. Trust region policy optimization 2.mp4 (11.1 MB) 89. Link to the code notebook.html (5.6 KB) 90. TRPO in code - Part 1.en_US.srt (3.5 KB) 90. TRPO in code - Part 1.mp4 (19.0 MB) 91. TRPO in code - Part 2.en_US.srt (2.5 KB) 91. TRPO in code - Part 2.mp4 (11.0 MB) 92. TRPO in code - Part 3.en_US.srt (2.1 KB) 92. TRPO in code - Part 3.mp4 (6.8 MB) 93. TRPO in code - Part 4.en_US.srt (4.7 KB) 93. TRPO in code - Part 4.mp4 (19.7 MB) 94. TRPO in code - Part 5.en_US.srt (8.9 KB) 94. TRPO in code - Part 5.mp4 (43.1 MB) 95. TRPO in code - Part 6.en_US.srt (0.9 KB) 95. TRPO in code - Part 6.mp4 (6.7 MB) 15 - Final steps 96. Final steps.html (6.0 KB) 97. Connect with me on social media.html (5.7 KB) 2 - Refresher The Markov Decision Process (MDP) 10. Trajectory vs episode.en_US.srt (1.1 KB) 10. Trajectory vs episode.mp4 (3.0 MB) 11. Reward vs Return.en_US.srt (1.6 KB) 11. Reward vs Return.mp4 (3.2 MB) 12. Discount factor.en_US.srt (4.1 KB) 12. Discount factor.mp4 (8.8 MB) 13. Policy.en_US.srt (2.1 KB) 13. Policy.mp4 (4.5 MB) 14. State values v(s) and action values q(s,a).en_US.srt (1.2 KB) files
Added:	2026-05-15 01:43:17
Language:	English
Peers:	Seeders : 1 , Leechers : 13
Tags:	IT & Software MQL Udemy
Release name:	Udemy - MQL4 Special Course - Two Pairs Arbitrage 2022
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