//@version=5
indicator("Neuro-Quantum Trading Nexus", overlay=true, max_lines_count=500, max_labels_count=500, precision=6)
// ======== Quantum Core ======== //
var int MAX_NEURONS = 256
var array<float> synaptic_weights = array.new_float(MAX_NEURONS, 0.0)
var matrix<float> neural_states = matrix.new<float>(MAX_NEURONS, MAX_NEURONS)
quantum_entanglement(array<float> src, int depth) =>
sum = 0.0
e = math.e
for i = 0 to math.min(depth, array.size(src)) - 1
val = array.get(src, i)
phase_shift = math.sin(math.atan(math.abs(val)) \* math.pi / e)
sum += phase_shift \* math.log(math.abs(val) + 1e-10)
security(syminfo.tickerid, "D", sum / depth)
// ======== LSTM Network ======== //
var int memory_cells = 64
var array<float> lstm_memory = array.new_float(memory_cells, 0.0)
var array<float> attention_scores = array.new_float(memory_cells, 0.0)
lstm_attention(float input) =>
src_array = array.from(input, volume)
forget_gate = 1 / (1 + math.exp(-quantum_entanglement(src_array, 2)))
for i = 0 to memory_cells - 1
array.set(lstm_memory, i, array.get(lstm_memory, i) \* forget_gate + input \* 0.01)
max_score = -math.inf
sum_scores = 0.0
for i = 0 to memory_cells - 1
score = math.abs(array.get(lstm_memory, i) - close) \* volume
array.set(attention_scores, i, score)
if score \> max_score
max_score := score
if max_score != 0
for i = 0 to memory_cells - 1
normalized = array.get(attention_scores, i) / max_score
array.set(attention_scores, i, normalized)
sum_scores += normalized
output = 0.0
if sum_scores != 0
for i = 0 to memory_cells - 1
output += array.get(lstm_memory, i) \* (array.get(attention_scores, i) / sum_scores)
output
// ======== Market Analysis ======== //
var matrix<float> market_tensor = matrix.new<float>(3, 3, 0.0)
multidimensional_analysis() =>
ft = math.sum(ta.change(close) \* math.cos(math.pi \* bar_index / 14), 14)
volume_sum = ta.sum(volume, 50)
entropy = -math.sum((volume / volume_sum) \* math.log(math.abs(volume / volume_sum + 1e-10))
d2 = ta.ema(ta.ema(close, 3) - ta.ema(close, 5), 3)
matrix.set(market_tensor, 0, 0, ft)
matrix.set(market_tensor, 0, 1, entropy)
matrix.set(market_tensor, 0, 2, d2)
ft \* entropy \* d2 - ft \* volume - entropy \* close
// ======== Prediction System ======== //
quantum_predict() =>
eigen_value = 0.0
for i = 0 to 2
for j = 0 to 2
eigen_value += matrix.get(market_tensor, i, j) \* math.pow(-1, i + j)
wave_function = math.sin(math.atan(eigen_value) \* math.pi)
probability_density = math.pow(wave_function, 2)
uncertainty = math.abs(ta.vwap(close) - close) / ta.atr(14)
(probability_density \* wave_function) / (uncertainty + 1e-10)
// ======== Trading Logic ======== //
var float buy_zone = na
var float sell_zone = na
svm_boundary() =>
alpha = 0.02
margin = ta.ema(quantum_predict() - multidimensional_analysis(), 3)
math.abs(margin) \> alpha ? margin : 0
boundary = svm_boundary()
if boundary > 0.618
buy_zone := low - ta.atr(14) \* 0.236
label.new(bar_index, low, "QUANTUM\\nBUY ZONE", color=color.rgb(0, 255, 0, 80), textcolor=#FFFFFF, style=label.style_label_up, size=size.large)
if boundary < -0.618
sell_zone := high + ta.atr(14) \* 0.236
label.new(bar_index, high, "ANTI-MATTER\\nSELL ZONE", color=color.rgb(255, 0, 0, 80), textcolor=#FFFFFF, style=label.style_label_down, size=size.large)
// ======== Visuals ======== //
plotshape(boundary > 0.618, style=shape.triangleup, location=location.belowbar, color=#00FF00, size=size.huge)
plotshape(boundary < -0.618, style=shape.triangledown, location=location.abovebar, color=#FF0000, size=size.huge)
hline(buy_zone, "Buy Frontier", color=#00FF00, linestyle=hline.style_dotted)
hline(sell_zone, "Sell Event Horizon", color=#FF0000, linestyle=hline.style_dotted)
// ======== Risk Management ======== //
var bool black_hole_warning = false
q_pred = quantum_predict()
black_hole_warning := q_pred > 3 * ta.stdev(q_pred, 100)
bgcolor(black_hole_warning ? color.new(#FFA500, 90) : na)
```
Sorry everyone... the code is correct. It was a weird projection issue. One I rotated the plot a bit the original code produced the desired plot. Thanks...
