koros0111/Warrior_EA
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derivado de animatedread/Warrior_EA
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Warrior_EA/settingsh1.set

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feat: add percentage-based CPU load input for fallback tier Replace the absolute thread count input (CpuDllThreads) with a percentage-based CPU_LOAD_PRESET enum (TargetCPULoad). This allows users to specify a percentage of detected cores to use when the CPU DLL fallback is active, improving flexibility and preventing issues when multiple instances share the same CPU DLL pool. Also adds CPU_GetHardwareConcurrency() for accurate core detection.
2026-07-14 18:04:48 -04:00
<EFBFBD><EFBFBD>TargetCPULoad=100
feat: embed compute DLLs as resources and extend Save/Load for training state Add #resource directives for WarriorDML.dll and WarriorCPU.dll, and ExtractComputeDlls() to extract them on first run, enabling MQL Cloud Protector builds to ship DLLs without manual copy. Extend CNet::Save and Load with trainingComplete and indicatorParams arrays to persist AutoTune indicator param values.
2026-07-13 15:59:35 -04:00
Expert_Settings=Warrior EA Configuration
Expert_MagicNumber=2024
chore(settings): update settingsh1.set configuration
2026-07-16 19:25:26 -04:00
trainingMode=true
feat: embed compute DLLs as resources and extend Save/Load for training state Add #resource directives for WarriorDML.dll and WarriorCPU.dll, and ExtractComputeDlls() to extract them on first run, enabling MQL Cloud Protector builds to ship DLLs without manual copy. Extend CNet::Save and Load with trainingComplete and indicatorParams arrays to persist AutoTune indicator param values.
2026-07-13 15:59:35 -04:00
Expert_EveryTick=false
VerboseMode=false
MM_Settings=Money Management Settings
MM_STRATEGY=0
Money_FixLot_Lots=0.01
Money_Risk_Percent=1
Entry_Settings=Entry Settings
tradingdirection=0
Entry_Multiplier=0
Signal_Expiration=3
UseDatabaseRanking=false
SL_Atr_Multiplier=3
Min_Risk_Reward_Ratio=2
SLTP_Source=0
Confidence_Source=0
Use_AI_Exit=false
AI_Exit_Threshold=70
Use_AI_Lot_Sizing=false
Trailing_Settings=Trailing Settings
TrailingStrategy=0
NNetworks_Settings=Neural Networks Settings
AIType=0
chore(settings): update settingsh1.set configuration
2026-07-16 19:25:26 -04:00
StudyPeriods=10
feat: real-ZigZag training labels, HYBRID CPU-oversubscription fix, input cleanup - Replace the hand-rolled fractal/deviation-%/ATR-trend-context ZigZag approximation with the actual MQL5 ZigZag indicator (rebranded as CustomIndicators/ADZigZag.mq5, logic untouched) as the training label source; bump the settle/confirmation window from 20 to 100 bars so a proper leg can form before being trusted, and drop the now-dead ZigZagDeviationPct/MinTrendATRMultiple/TrendContextBars inputs. - Rebrand the stock Volumes indicator the same way (ADVolume.mq5). - Fix HYBRID mode (AIType=HYBRID) oversubscribing the CPU fallback tier: every concurrent CNet instance was independently sizing its worker pool off the same global TargetCPULoad input. g_netPeerCount/ PeerNetworkCount() now split it across however many CNet instances (live+shadow x active signals) are actually sharing the CPU. - Fix NEURONS_REDUCTION_FACTOR's confusing retention-vs-reduction semantics so RF_70 means an actual 70% reduction; default to 4 hidden layers / RF_70. - Migrate remaining free-form training/indicator inputs to enums for UI consistency; default news filter lookback to 1h, disable every-tick. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-16 00:56:33 -04:00
MinWR=80
chore(settings): update settingsh1.set configuration
2026-07-16 19:25:26 -04:00
MinRecall=60
feat: embed compute DLLs as resources and extend Save/Load for training state Add #resource directives for WarriorDML.dll and WarriorCPU.dll, and ExtractComputeDlls() to extract them on first run, enabling MQL Cloud Protector builds to ship DLLs without manual copy. Extend CNet::Save and Load with trainingComplete and indicatorParams arrays to persist AutoTune indicator param values.
2026-07-13 15:59:35 -04:00
OOSSplit=30
OutputNeuronsCount=3
InitialNeurons=1000
feat: real-ZigZag training labels, HYBRID CPU-oversubscription fix, input cleanup - Replace the hand-rolled fractal/deviation-%/ATR-trend-context ZigZag approximation with the actual MQL5 ZigZag indicator (rebranded as CustomIndicators/ADZigZag.mq5, logic untouched) as the training label source; bump the settle/confirmation window from 20 to 100 bars so a proper leg can form before being trusted, and drop the now-dead ZigZagDeviationPct/MinTrendATRMultiple/TrendContextBars inputs. - Rebrand the stock Volumes indicator the same way (ADVolume.mq5). - Fix HYBRID mode (AIType=HYBRID) oversubscribing the CPU fallback tier: every concurrent CNet instance was independently sizing its worker pool off the same global TargetCPULoad input. g_netPeerCount/ PeerNetworkCount() now split it across however many CNet instances (live+shadow x active signals) are actually sharing the CPU. - Fix NEURONS_REDUCTION_FACTOR's confusing retention-vs-reduction semantics so RF_70 means an actual 70% reduction; default to 4 hidden layers / RF_70. - Migrate remaining free-form training/indicator inputs to enums for UI consistency; default news filter lookback to 1h, disable every-tick. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-16 00:56:33 -04:00
HiddenLayersCount=4
feat: embed compute DLLs as resources and extend Save/Load for training state Add #resource directives for WarriorDML.dll and WarriorCPU.dll, and ExtractComputeDlls() to extract them on first run, enabling MQL Cloud Protector builds to ship DLLs without manual copy. Extend CNet::Save and Load with trainingComplete and indicatorParams arrays to persist AutoTune indicator param values.
2026-07-13 15:59:35 -04:00
MinNeuronsCount=20
feat: real-ZigZag training labels, HYBRID CPU-oversubscription fix, input cleanup - Replace the hand-rolled fractal/deviation-%/ATR-trend-context ZigZag approximation with the actual MQL5 ZigZag indicator (rebranded as CustomIndicators/ADZigZag.mq5, logic untouched) as the training label source; bump the settle/confirmation window from 20 to 100 bars so a proper leg can form before being trusted, and drop the now-dead ZigZagDeviationPct/MinTrendATRMultiple/TrendContextBars inputs. - Rebrand the stock Volumes indicator the same way (ADVolume.mq5). - Fix HYBRID mode (AIType=HYBRID) oversubscribing the CPU fallback tier: every concurrent CNet instance was independently sizing its worker pool off the same global TargetCPULoad input. g_netPeerCount/ PeerNetworkCount() now split it across however many CNet instances (live+shadow x active signals) are actually sharing the CPU. - Fix NEURONS_REDUCTION_FACTOR's confusing retention-vs-reduction semantics so RF_70 means an actual 70% reduction; default to 4 hidden layers / RF_70. - Migrate remaining free-form training/indicator inputs to enums for UI consistency; default news filter lookback to 1h, disable every-tick. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-16 00:56:33 -04:00
NeuronsReduction=70
SwingConfirmationBars=100
chore(settings): update settingsh1.set configuration
2026-07-16 19:25:26 -04:00
MaxErasPerRun=1000
feat: add percentage-based CPU load input for fallback tier Replace the absolute thread count input (CpuDllThreads) with a percentage-based CPU_LOAD_PRESET enum (TargetCPULoad). This allows users to specify a percentage of detected cores to use when the CPU DLL fallback is active, improving flexibility and preventing issues when multiple instances share the same CPU DLL pool. Also adds CPU_GetHardwareConcurrency() for accurate core detection.
2026-07-14 18:04:48 -04:00
TrainRetryCooldownSec=60
feat: embed compute DLLs as resources and extend Save/Load for training state Add #resource directives for WarriorDML.dll and WarriorCPU.dll, and ExtractComputeDlls() to extract them on first run, enabling MQL Cloud Protector builds to ship DLLs without manual copy. Extend CNet::Save and Load with trainingComplete and indicatorParams arrays to persist AutoTune indicator param values.
2026-07-13 15:59:35 -04:00
Indicator_Settings=Indicator Settings
feat: real-ZigZag training labels, HYBRID CPU-oversubscription fix, input cleanup - Replace the hand-rolled fractal/deviation-%/ATR-trend-context ZigZag approximation with the actual MQL5 ZigZag indicator (rebranded as CustomIndicators/ADZigZag.mq5, logic untouched) as the training label source; bump the settle/confirmation window from 20 to 100 bars so a proper leg can form before being trusted, and drop the now-dead ZigZagDeviationPct/MinTrendATRMultiple/TrendContextBars inputs. - Rebrand the stock Volumes indicator the same way (ADVolume.mq5). - Fix HYBRID mode (AIType=HYBRID) oversubscribing the CPU fallback tier: every concurrent CNet instance was independently sizing its worker pool off the same global TargetCPULoad input. g_netPeerCount/ PeerNetworkCount() now split it across however many CNet instances (live+shadow x active signals) are actually sharing the CPU. - Fix NEURONS_REDUCTION_FACTOR's confusing retention-vs-reduction semantics so RF_70 means an actual 70% reduction; default to 4 hidden layers / RF_70. - Migrate remaining free-form training/indicator inputs to enums for UI consistency; default news filter lookback to 1h, disable every-tick. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
2026-07-16 00:56:33 -04:00
ind_Periods=10
feat: embed compute DLLs as resources and extend Save/Load for training state Add #resource directives for WarriorDML.dll and WarriorCPU.dll, and ExtractComputeDlls() to extract them on first run, enabling MQL Cloud Protector builds to ship DLLs without manual copy. Extend CNet::Save and Load with trainingComplete and indicatorParams arrays to persist AutoTune indicator param values.
2026-07-13 15:59:35 -04:00
VolumeData=0
AISignals=AI Signals
EnableVolume=true
EnableTime=true
EnableATR=true
feat: add percentage-based CPU load input for fallback tier Replace the absolute thread count input (CpuDllThreads) with a percentage-based CPU_LOAD_PRESET enum (TargetCPULoad). This allows users to specify a percentage of detected cores to use when the CPU DLL fallback is active, improving flexibility and preventing issues when multiple instances share the same CPU DLL pool. Also adds CPU_GetHardwareConcurrency() for accurate core detection.
2026-07-14 18:04:48 -04:00
EnableADCumulativeDelta=false
EnableADShorteningOfThrust=false
EnableADWyckoffEventStream=false
EnableADWyckoffFailedStructure=false
EnableADWyckoffSignificantBarInversion=false
AutoTuneIndicators=false
IndicatorTuneTrials=8
feat: embed compute DLLs as resources and extend Save/Load for training state Add #resource directives for WarriorDML.dll and WarriorCPU.dll, and ExtractComputeDlls() to extract them on first run, enabling MQL Cloud Protector builds to ship DLLs without manual copy. Extend CNet::Save and Load with trainingComplete and indicatorParams arrays to persist AutoTune indicator param values.
2026-07-13 15:59:35 -04:00
SF_Settings=Time Related Settings
targetDayOfWeek=6
targetHour=22
targetMinutes=0
SF_trade_LondonSession=false
SF_trade_TokyoSession=false
SF_trade_NewYorkSession=true
ITF_GoodHourOfDay=-1
ITF_BadHoursOfDay=0
ITF_GoodDayOfWeek=-1
ITF_BadDaysOfWeek=0
NF_Settings=News Filter Settings
NF_LookMinutes=60
NF_MinImpact=0
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