//+------------------------------------------------------------------+
//|                                                       Warrior_EA |
//|                                                     AnimateDread |
//|                                                                  |
//+------------------------------------------------------------------+
// Money management classes (CExpertMoney) are invoked by the standard library's
// CExpert with a fixed (price, sl) signature - they have no pointer back to the
// signal filter that computed those levels. CExpertSignalCustom::OpenParams()
// refreshes these globals right before Money.CheckOpenLong/Short() is called for
// the same trade, so Money classes can read a same-tick confidence value without
// requiring an intrusive change to the wizard framework's call chain.
double g_AISignedConfidence = 0.0;   // -1..1, sign = direction, magnitude = AI confidence; 0 if no AI filter
double g_DBConfidence = 0.0;         // 0..1, historical time-based win rate of the active pattern set
// source takes CONFIDENCE_SOURCE's underlying int values (0=CONF_AI, 1=CONF_DB, 2=CONF_BLENDED).
// Declared as int rather than the enum type so this header has no dependency on the include
// order of Enumerations\InputEnums.mqh (this file is pulled in from class headers that are
// included before Inputs.mqh in Warrior_EA.mq5).
// reward:risk ratio of the specific trade OpenParams() just sized (b in the Kelly-criterion
// formula CMoneyIntelligent::AdjustRiskAmount() uses) - refreshed on the same same-tick
// contract as the two confidence globals above; always > 0 when populated, since OpenParams()
// no longer rejects on reward:risk at all (the filter was removed 2026-08-09), so g_TradeRewardRiskRatio
// reaches Money as a SIZING input rather than as the survivor of a veto.
double g_TradeRewardRiskRatio = 0.0;
// Live per-tick signed AI confidence (-1..1, sign = predicted direction, magnitude = confidence),
// refreshed every tick/timer from the active AI signal's SignedAIConfidence() in
// CExpertSignalAIBase::ScheduleTrainingIfNeeded() - independent of the OpenParams() same-tick
// contract above, because an ALREADY-OPEN position generates no OpenParams() calls yet the
// intelligent trailing (Trailing\TrailingIntelligent.mqh) still needs a current read while holding.
// This is written by the active AI signal once per tick; 0.0 means no AI filter is active/converged yet.
double g_LiveAISignedConfidence = 0.0;
// MEASURED barrier geometry, in ATR multiples, published by the AI signal for the LIVE order path.
// Written from exactly two places: DeriveBarrierGeometry() when the geometry is measured at era 0, and
// the .cfg adoption in Persistence.mqh when a trained model is loaded with its pinned pair. 0.0 = not
// derived (fresh start before era 0, or no AI filter) - OpenParams() then falls back to the SL_Mode/
// TP_Mode enum multiples exactly as before.
//
// This bridge exists because of a real incident, not tidiness: the deploy gate certifies "this model's
// trades reach the MEASURED target before the MEASURED stop at a win rate beating break-even" - and
// until 2026-08-09 the live EA then placed trades with the ENUM geometry (2*ATR stop, 6*ATR target on
// the shipped SP500 config) that the certificate says nothing about. The model was graded on one game
// and paid on another. Same one-way, same-tick contract as the confidence globals above; OpenParams()
// runs on the aggregate/root signal, which has no pointer to the AI filter that measured these.
double g_DerivedSlAtrMult = 0.0;
double g_DerivedTpAtrMult = 0.0;
//+------------------------------------------------------------------+
//| Combine AI/DB confidence into a single 0..1 magnitude            |
//+------------------------------------------------------------------+
double CombinedConfidence(int source)
  {
    double aiMag = MathIsValidNumber(g_AISignedConfidence) ? MathAbs(g_AISignedConfidence) : 0.0;
    double dbMag = MathIsValidNumber(g_DBConfidence) ? g_DBConfidence : 0.0;
    aiMag = MathMax(0.0, MathMin(aiMag, 1.0));
    dbMag = MathMax(0.0, MathMin(dbMag, 1.0));
   switch(source)
     {
      case 1: // CONF_DB
         return dbMag;
      case 2: // CONF_BLENDED
         return (aiMag + dbMag) / 2.0;
      default: // CONF_AI
         return aiMag;
     }
  }
//+------------------------------------------------------------------+