// BogieNN_v8_Zorro.c
// -----------------------------------------------------------------------------
// Self-contained Zorro lite-C reconstruction of Bogie-NN-v8 + Bogie-NN-IND-v8.
//
// Signal path preserved from the supplied MQL4 sources:
// H1 OHLC -> 12-bar NOC normalization -> EMA(5)
// -> 17 lagged inputs (offsets 2..18 in indicator space)
// -> neural net 17 -> 17 -> 5 -> 1, sigmoid activations
// -> output 0..100
// -> BUY on upward cross of 54, SELL on downward cross of 74.
//
// Trade logic preserved:
// - one position at a time
// - default SL 200 pips, TP disabled, trailing distance 170 pips
// - opposite signal closes/reverses
// - no-trade-day behavior preserves the original asymmetry:
// long positions close on a no-trade day, short positions do not
// - MT4-style money management is mapped to Zorro Amount, where Amount=1
// is approximately one standard FX lot (100,000 units).
//
// Important source correction:
// The MQL4 source declared gda_128[305] but writes indices 0..305.
// The mathematically correct first-layer parameter count is 306, used here.
// -----------------------------------------------------------------------------
// ----------------------------- User settings ---------------------------------
string BogieAsset = "EUR/USD";
int UseMM = 1;
int MiniAcct = 0;
var RiskPercent = 5.0;
var FixedAmount = 0.0; // MT4-style standard lots when UseMM == 0
var TakeProfitPips = 0.0;
var StopLossPips = 200.0;
var TrailingStopPips = 170.0;
var BuyTrigger = 54.0;
var SellTrigger = 74.0;
// MQL4 DayOfWeek: Sunday=0, Monday=1, ..., Saturday=6.
// These inputs intentionally retain that numbering.
int NoTradeDay_1 = 0;
int NoTradeDay_2 = 0;
// Original code used 5*Point as the minimum stop adjustment.
// On a typical 5-digit FX quote, that is 0.5 pip. Set to 5.0 for an old 4-digit
// quote if strict historical emulation is required.
var TrailGuardPips = 0.5;
// Indicator constants from Bogie-NN-IND-v8.
int NocPeriod = 12;
var NocMinRange = 0.012;
int EmaPeriod = 5;
// -------------------------- Embedded NN parameters ----------------------------
var W1[306] = {
0.376436, 0.690657, 0.512335, 0.786179, 0.671377, 0.614279,
0.53975, 0.82038, 0.750566, 0.70789, 0.396094, 0.72572,
0.555349, 0.395257, 0.22728, 0.128274, 0.289072, 0.387067,
0.66245, 1.019812, 0.761206, 0.98428, 0.878235, 0.829384,
0.786234, 1.189799, 1.112219, 1.069424, 0.640762, 0.73067,
0.067006, -0.320953, -0.60088, -0.371686, 0.261142, 0.063323,
0.413053, 0.737687, 0.555759, 0.815068, 0.692078, 0.630406,
0.556191, 0.84638, 0.763236, 0.715549, 0.390297, 0.705948,
0.482014, 0.291501, 0.101741, 0.048724, 0.280508, 0.428389,
-6.065296, 0.559039, 1.732407, 2.446417, 2.226664, 1.043498,
-0.892194, 0.53867, 1.696599, 2.895421, 1.936742, 0.857415,
1.777173, 1.489486, 0.990452, -0.312611, -2.485575, 5.784152,
0.691233, 1.003065, 0.74676, 0.973191, 0.868018, 0.821039,
0.770604, 1.139881, 1.057454, 1.00439, 0.595049, 0.733458,
0.17767, -0.170966, -0.443584, -0.34547, 0.135814, -0.010206,
0.585687, 1.040471, 0.778059, 0.994592, 0.882501, 0.81993,
0.783313, 1.225092, 1.138965, 1.112052, 0.667895, 0.725504,
-0.042205, -0.470107, -0.758346, -0.356139, 0.477461, 0.159831,
0.465873, 0.827723, 0.635881, 0.876557, 0.751904, 0.689548,
0.624036, 0.943642, 0.844483, 0.793347, 0.439269, 0.710473,
0.362673, 0.107347, -0.123129, -0.079149, 0.300953, 0.33311,
36.878339, -34.157785, 13.570499, -9.445193, 5.906855, -2.631383,
-3.46685, 1.387212, 1.16875, -1.25244, -4.167107, 7.462264,
4.218665, -10.616881, 2.816792, -0.854816, 0.465124, 3.805423,
17.371809, -10.758329, 4.288758, -3.3009, -1.387066, -0.545407,
-0.627846, 0.359405, -0.910465, 1.672222, -1.087077, 1.71169,
1.892743, 1.370835, -1.074922, -2.069598, 2.132245, 3.323435,
3.192245, 0.722216, 0.595036, 2.562026, 4.118245, 2.533825,
0.661547, -0.522384, -0.923482, -0.744284, -0.531758, -1.737114,
-0.894963, 0.335197, 2.767129, 0.169424, -1.86823, 2.057215,
0.408584, 0.730536, 0.549013, 0.810092, 0.687577, 0.62613,
0.551439, 0.839836, 0.758454, 0.711269, 0.388133, 0.706349,
0.491137, 0.305519, 0.119262, 0.059367, 0.280111, 0.432421,
11.3829, -2.355699, 0.800231, -0.812782, -1.725548, 0.506914,
3.685745, -1.57036, -0.67807, -1.385545, 0.665419, -2.403472,
0.348713, 0.948801, 3.943966, 0.60901, -2.954932, 6.570737,
1.09868, 0.457162, 0.047123, 0.314413, 0.270546, 0.271241,
0.44434, 0.685449, 0.881795, 0.904727, 0.538997, 0.274688,
-0.10726, -0.182735, -0.297917, -0.722563, -1.004438, 2.114029,
0.625319, 1.073737, 0.794572, 1.012257, 0.909403, 0.851104,
0.819041, 1.284499, 1.213157, 1.195116, 0.731964, 0.733472,
-0.119051, -0.57439, -0.865588, -0.405175, 0.494158, 0.142718,
0.44362, 0.790221, 0.60428, 0.852407, 0.728354, 0.666281,
0.59699, 0.903026, 0.80912, 0.758782, 0.416953, 0.708992,
0.41504, 0.186673, -0.028387, -0.027435, 0.289143, 0.376176,
0.377669, 0.691528, 0.513124, 0.786421, 0.670892, 0.613345,
0.538605, 0.819386, 0.749119, 0.706133, 0.394004, 0.723393,
0.551766, 0.390955, 0.222564, 0.125193, 0.287931, 0.397175,
0.390177, 0.704718, 0.524964, 0.793337, 0.673926, 0.614109,
0.538623, 0.821537, 0.747044, 0.702102, 0.386249, 0.712341,
0.526445, 0.357474, 0.183363, 0.099539, 0.282065, 0.431269
};
var W2[90] = {
0.313367, 0.600233, 0.413307, 0.723853, 0.604417, 0.564724,
0.494233, 0.776964, 0.7137, 0.689037, 0.403412, 0.74366,
0.681661, 0.582135, 0.470205, 0.320594, 0.360557, 0.505358,
0.207009, -0.600315, 0.292799, -0.486397, -0.698483, -0.466675,
0.16168, 1.267072, 0.942115, 1.601429, 0.294829, 2.066898,
1.149577, -0.608109, 0.236174, 0.223691, 0.281142, 2.639872,
0.298441, 0.585156, 0.397331, 0.714002, 0.591642, 0.547087,
0.477829, 0.768086, 0.709662, 0.679375, 0.387499, 0.736123,
0.665259, 0.56451, 0.453956, 0.305558, 0.345016, 0.50831,
-0.677255, -1.032676, -0.744642, -0.925155, -1.197128, -0.992372,
-0.855172, 7.016197, 5.226784, 2.411577, -0.733721, 3.402664,
1.729731, -0.991801, -0.815011, -0.677321, -0.693829, 9.138765,
-0.24649, -0.391846, -0.34772, -1.096698, -0.001496, -0.693606,
-0.468658, 6.178259, 4.306803, 2.40946, -0.336563, 2.374341,
1.504236, -0.726152, -0.426187, -0.25484, -0.293797, -1.89273
};
var W3[6] = {
-0.62616, 1.717378, -0.485501, 2.751261, 2.323994, 2.047616
};
// ----------------------------- Neural network --------------------------------
var Sigmoid(var x)
{
var ex;
// Algebraically equivalent to the original tanh-like expression followed
// by (x+1)/2, but numerically safer for large magnitudes.
if(x > 40.0) return 0.999999999;
if(x < -40.0) return 0.000000001;
ex = pow(2.7182818,x);
return ex/(1.0 + ex);
}
var ApplyNN(vars EmaSeries, int StartOffset)
{
var H1[17];
var H2[5];
var sum;
int neuron;
int input;
int k;
// Layer 1: 17 inputs -> 17 hidden neurons.
// Each neuron owns 17 weights followed by one bias. The MQL code SUBTRACTS
// the stored bias, so we preserve sum(weights*inputs) - bias.
k = 0;
for(neuron = 0; neuron < 17; neuron++) {
sum = 0.0;
for(input = 0; input < 17; input++) {
sum += W1[k] * EmaSeries[StartOffset + input];
k++;
}
sum -= W1[k];
k++;
H1[neuron] = Sigmoid(sum);
}
// Layer 2: 17 -> 5.
k = 0;
for(neuron = 0; neuron < 5; neuron++) {
sum = 0.0;
for(input = 0; input < 17; input++) {
sum += W2[k] * H1[input];
k++;
}
sum -= W2[k];
k++;
H2[neuron] = Sigmoid(sum);
}
// Output layer: 5 -> 1.
sum = 0.0;
for(input = 0; input < 5; input++)
sum += W3[input] * H2[input];
sum -= W3[5];
return 100.0 * Sigmoid(sum);
}
// ----------------------------- Indicator front-end ----------------------------
var NocValue()
{
var Highest = priceH(0);
var Lowest = priceL(0);
var CloseNow = priceC(0);
var Range;
int i;
for(i = 1; i < NocPeriod; i++) {
if(priceH(i) > Highest) Highest = priceH(i);
if(priceL(i) < Lowest) Lowest = priceL(i);
}
Range = Highest - Lowest;
// Exact MQL4 expression, not a simplified approximation. When Range is
// below 0.012, the denominator remains fixed at 0.012 and the value is
// compressed around 0.5.
if(Range > NocMinRange)
return (CloseNow - Lowest - (Highest - CloseNow)) / Range / 2.0 + 0.5;
else
return (CloseNow - Lowest - (Highest - CloseNow)) / NocMinRange / 2.0 + 0.5;
}
// ----------------------------- Calendar mapping -------------------------------
int MQLDayToZorro(int MqlDay)
{
// MQL4: Sunday=0. Zorro: Monday=1 ... Sunday=7.
if(MqlDay == 0) return 7;
return MqlDay;
}
int TradeAllowedToday()
{
int d = dow(0);
if(d == MQLDayToZorro(NoTradeDay_1)) return 0;
if(d == MQLDayToZorro(NoTradeDay_2)) return 0;
return 1;
}
// ----------------------------- Position sizing --------------------------------
var LotsOptimizedAmount()
{
var amount;
var freeMargin;
var step;
if(!UseMM)
return FixedAmount;
// Closest Zorro analogue of AccountFreeMargin().
freeMargin = Equity - MarginVal;
if(freeMargin < 0.0) freeMargin = 0.0;
// Original MQL4 formula:
// AccountFreeMargin() * Risk / 100 / 1000
amount = freeMargin * RiskPercent / 100.0 / 1000.0;
if(MiniAcct) {
step = 0.01;
amount = roundto(amount,step);
if(amount < 0.01) amount = 0.01;
} else {
step = 0.1;
amount = roundto(amount,step);
if(amount < 0.1) amount = 0.1;
}
if(amount > 50.0) amount = 50.0;
return amount;
}
// ----------------------------- Exact trailing ---------------------------------
int BogieTrailTMF(var TrailPips, var GuardPips)
{
var distance;
var guard;
var candidate;
if(!TradeIsOpen) return 0;
if(TrailPips <= 0.0) return 0;
distance = TrailPips * PIP;
guard = GuardPips * PIP;
if(TradeIsShort) {
// Original SELL rule:
// if(OrderStopLoss() > Ask + TrailingStop + 5*Point)
// SL = Ask + TrailingStop;
candidate = priceC(0) + distance;
if(TradeStopLimit > candidate + guard)
TradeStopLimit = candidate;
} else {
// Zorro stop limits are expressed on the ask-price scale; this preserves
// the original Bid-relative long trailing distance after spread handling.
candidate = priceC(0) - distance;
if(TradeStopLimit < candidate - guard)
TradeStopLimit = candidate;
}
return 0;
}
// ------------------------------- Strategy -------------------------------------
function run()
{
vars NocSeries;
vars EmaSeries;
var NocNow;
var EmaNow;
var NN_Shift1;
var NN_Shift2;
var TradeAmount;
int BuySignal;
int SellSignal;
int Allowed;
set(TICKS); // TMF executes on incoming ticks/quotes.
BarPeriod = 60; // Original iCustom() signal timeframe: PERIOD_H1.
LookBack = 250; // >= original 200-bar warmup + NN/EMA history.
Capital = 10000;
asset(BogieAsset);
algo("BogieNNv8");
Hedge = 0;
MaxLong = 1;
MaxShort = 1;
// Create the normalized oscillator and its EMA every bar. Series calls stay
// unconditional, as required by Zorro.
NocNow = NocValue();
NocSeries = series(NocNow,64);
EmaNow = EMA(NocSeries,EmaPeriod);
EmaSeries = series(EmaNow,64);
// MQL4 EA reads indicator buffer 1 at shifts 1 and 2.
// Indicator output at shift s uses EMA values s+2 ... s+18.
// Therefore:
// shift 1 -> EmaSeries[3..19]
// shift 2 -> EmaSeries[4..20]
NN_Shift1 = ApplyNN(EmaSeries,3);
NN_Shift2 = ApplyNN(EmaSeries,4);
BuySignal = (NN_Shift2 <= BuyTrigger) && (NN_Shift1 >= BuyTrigger);
SellSignal = (NN_Shift2 >= SellTrigger) && (NN_Shift1 <= SellTrigger);
plot("BogieNN",NN_Shift1,NEW,RED);
plot("Buy54",BuyTrigger,0,BLACK);
plot("Sell74",SellTrigger,0,BLACK);
if(is(LOOKBACK)) return;
Allowed = TradeAllowedToday();
// Preserve the original exit asymmetry exactly:
// BUY closes on SELL signal OR no-trade day.
if(NumOpenLong > 0) {
if(SellSignal || !Allowed)
exitLong();
}
// SELL closes only on BUY signal; no-trade-day alone does not close it.
if(NumOpenShort > 0) {
if(BuySignal)
exitShort();
}
// No new entries on forbidden days.
if(!Allowed) return;
// Original EA allows only one symbol+magic position at once.
if(NumOpenLong == 0 && NumOpenShort == 0) {
TradeAmount = LotsOptimizedAmount();
Amount = TradeAmount;
// Disable Zorro's risk-based sizing; Amount reproduces MT4-lot sizing.
Risk = 0;
if(StopLossPips > 0.0) Stop = StopLossPips * PIP;
else Stop = 0;
if(TakeProfitPips > 0.0) TakeProfit = TakeProfitPips * PIP;
else TakeProfit = 0;
// Built-in Zorro Trail has different semantics from the MT4 EA.
Trail = 0;
if(BuySignal)
enterLong(BogieTrailTMF,TrailingStopPips,TrailGuardPips);
else if(SellSignal)
enterShort(BogieTrailTMF,TrailingStopPips,TrailGuardPips);
}
}