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Checked by:
Category:
Language:
English
Total Size:
1.7 GB
Info Hash:
CDB3143D0554902A71F2B18625A56B3F86F15C6D
Added By:
Added:
June 3, 2026, 1:53 p.m.
Stats:
|
(Last updated: June 3, 2026, 1:53 p.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 204 bytes |
| 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 |
| _2_REINFORCE_continuous.ipynb | 307 bytes |
| _4_proximal_policy_optimization.ipynb | 307 bytes |
| _5_generalized_advantage_estimation.ipynb | 307 bytes |
| _6_TRPO.ipynb | 307 bytes |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | 921 bytes |
| 95. TRPO in code - Part 6.mp4 | 6.7 MB |
| 96. Final steps.html | 6.0 KB |
| 97. Connect with me on social media.html | 5.7 KB |
| 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 |
Name
DL
Uploader
Size
S/L
Added
-
1.7 GB
[24
/
28]
2026-06-03
| Uploaded by freecoursewb | Size 1.7 GB | Health [ 24 /28 ] | Added 2026-06-03 |
-
943.5 MB
[6
/
5]
2025-09-05
| Uploaded by freecoursewb | Size 943.5 MB | Health [ 6 /5 ] | Added 2025-09-05 |
NOTE
SOURCE: Udemy - MQL4 Special Course - Two Pairs Arbitrage 2022
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COVER
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MEDIAINFO
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)
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