Examples from the book MQL5 Programming for Traders - author Stanislav Korotky
Updated 2026-09-21 15:26:47 +00:00
ifamily orientated money motivated
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FAMILY ORIENTED MONEY MOTIVATED
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Entropy pooling in native MQL5: history reweighted by relative entropy instead of cut by a lookback window, with volatility conditioning under a scenario budget, views on volatility, tails and correlation, and an expected-shortfall sizing EA with walk-forward evidence against rolling windows and kernels.
Updated 2026-09-20 10:16:41 +00:00
Online false discovery rate control in native MQL5: LORD3, LORD++ and SAFFRON gating a live stream of trading signals, with the calibration and dependence evidence that says whether the guarantee actually holds.
Updated 2026-09-20 06:36:07 +00:00
Examples from the book Neural networks for algorithmic trading with MQL5
Updated 2026-09-20 06:16:01 +00:00
Algo Forge — refactor total dari SniperGold SMC Pro+ (Waseem Shahrukh, https://www.mql5.com/en/code/75466). Engine 1: MTF data collector + cache index (selesai, unit test PASS=115070 FAIL=0). Engine 2: agen sinyal N/C/E/P (fuzzy). Engine 3: display. ML: LSTM + regime-switching.
Updated 2026-09-20 06:14:30 +00:00
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AiDataTaskRuner is a bot with a complex GUI that facilitates data generation and training of ML models based on the AiDataGenByLeo library.
Updated 2026-09-20 06:09:48 +00:00
Updated 2026-09-20 06:08:34 +00:00
Examples from the book MQL5 Programming for Traders - author Stanislav Korotky
Updated 2026-09-20 06:07:09 +00:00
Entropy pooling in native MQL5: history reweighted by relative entropy instead of cut by a lookback window, with volatility conditioning under a scenario budget, views on volatility, tails and correlation, and an expected-shortfall sizing EA with walk-forward evidence against rolling windows and kernels.
Updated 2026-09-20 06:04:57 +00:00
RequestLatencyLab - client-observed request latency measurement lab (MQL5)
Updated 2026-09-20 06:01:27 +00:00
Trading automatique sur le gold retournement et continuation
Updated 2026-09-20 06:00:12 +00:00
Updated 2026-09-20 05:59:48 +00:00
Updated 2026-09-20 05:58:28 +00:00