Adaptive Liquidity Matrix

//@version=6
indicator("Adaptive Liquidity Matrix", overlay=true, max_boxes_count=500, max_labels_count=500, max_lines_count=500)

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// 1. INPUTS TÁCTICOS (MOTOR MATEMÁTICO)
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grp_sys = 'Matrix Core Engine'
grid_mode = input.string("Fibonacci (MTF ATR)", title="Grid Expansion Mode", options=["Fibonacci (MTF ATR)", "Legacy Linear"], group=grp_sys)
tf_selection = input.timeframe("D", title="Macro Anchor Timeframe", group=grp_sys)
lookback_length = input.int(200, title="Volume Lookback (Bars)", minval=1, group=grp_sys)
fib_mult = input.float(3.0, title="Fibonacci Volatility Multiplier", minval=0.1, step=0.5, tooltip="Ajusta la amplitud macro de la red de Fibonacci", group=grp_sys)

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// 2. ESTÉTICA QUIRÚRGICA & UI (USER DEFINED BLOCK)
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string G_THEME = "Estética Quirúrgica & UI"
string themeChoice = input.string("Artic", "Tema Visual", options = ["Artic", "Mono"], group=G_THEME)
bool isLight = input.bool(false, "☀️", group=G_THEME)
string hudSizeInput = input.string("Small", "Tamaño del Panel", options=["Tiny", "Small", "Normal", "Large"], group=G_THEME)
string hudPosInput = input.string("Bottom Right", "Posición del HUD", options=["Bottom Right", "Bottom Left", "Top Right", "Top Left"], group=G_THEME)
float zone_height_pct = input.float(0.15, "Amplitud de Zona (%)", minval=0.01, step=0.05, group=G_THEME)

string hudSize = hudSizeInput == "Tiny" ? size.tiny : hudSizeInput == "Small" ? size.small : hudSizeInput == "Normal" ? size.normal : size.large
string hud_pos = hudPosInput == "Bottom Right" ? position.bottom_right : hudPosInput == "Bottom Left" ? position.bottom_left : hudPosInput == "Top Right" ? position.top_right : position.top_left

color thBull = themeChoice == "Mono" ? (isLight ? #616161 : #9e9e9e) : (isLight ? #0288d1 : #4fc3f7) 
color thBear = themeChoice == "Mono" ? (isLight ? #212121 : #424242) : (isLight ? #512da8 : #b39ddb) 
color thSweep = themeChoice == "Mono" ? (isLight ? #000000 : #ffffff) : (isLight ? #0097a7 : #00e5ff) 

color bgHud = isLight ? color.new(color.white, 20) : color.new(color.black, 90)
color borderHud = isLight ? color.new(color.gray, 60) : color.new(color.gray, 85)
color txtMain = isLight ? color.black : color.white
color txtSub = isLight ? color.new(#5d5e63, 30) : color.rgb(249, 250, 252)

color sweepBg = themeChoice == "Mono" ? color.blue : color.new(thSweep, 20)
color sweepTxt = themeChoice == "Mono" ? color.white : color.black

// Adaptación de Transparencia para las Cajas
color col_sup = color.new(thBear, 85)
color col_dem = color.new(thBull, 85)
color col_ghost = isLight ? color.new(#e0e0e0, 70) : color.new(#1a1a1a, 80)
color txt_box = color.new(txtMain, 30)

pip = syminfo.mintick * 10
var float[] fibs = array.from(0.236, 0.382, 0.618, 1.000, 1.618, 2.618, 4.236, 6.854)

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// 3. EXTRACCIÓN GENÉTICA MACRO (MTF POLARITY ENGINE)
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f_macro_data(_len) =>
    idx = ta.highestbars(volume, _len)
    a_idx = math.abs(idx)
    _atr = ta.atr(14)
    [open[a_idx], high[a_idx], low[a_idx], close[a_idx], _atr[a_idx]]

[m_open, m_high, m_low, m_close, m_atr] = request.security(syminfo.tickerid, tf_selection, f_macro_data(lookback_length))

bool is_bull_anchor = m_close >= m_open
float macro_anchor = is_bull_anchor ? m_low : m_high

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// 4. GENERACIÓN DE MATRIZ Y GHOSTING (OFFSET 10 BARRAS)
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var box[] grid_boxes = array.new_box()
var float closest_supply = na
var float closest_demand = na

if barstate.islast
    float[] final_levels = array.new_float()
    
    if array.size(grid_boxes) > 0
        for b in grid_boxes
            box.delete(b)
        array.clear(grid_boxes)

    if grid_mode == "Fibonacci (MTF ATR)"
        if not na(macro_anchor) and not na(m_atr)
            for f in fibs
                float offset = f * m_atr * fib_mult
                array.push(final_levels, macro_anchor + offset) 
                array.push(final_levels, macro_anchor - offset) 
    else
        float[] raw_legacy = array.from(50.0, 100.0, 150.0, 200.0, 250.0, 300.0, 400.0, 500.0, 600.0, 800.0)
        float scale = macro_anchor / 500.0 
        for r in raw_legacy
            array.push(final_levels, macro_anchor + (r * scale))
            array.push(final_levels, macro_anchor - (r * scale))

    closest_supply := 9999999.9
    closest_demand := 0.0

    if array.size(final_levels) > 0
        for i = 0 to array.size(final_levels) - 1
            float lvl = array.get(final_levels, i)
            float h_val = lvl * (zone_height_pct / 100)
            float top_b = lvl + (h_val / 2)
            float btm_b = lvl - (h_val / 2)
            
            bool is_sup = lvl > macro_anchor
            bool is_mitigated = is_sup ? (close > top_b) : (close < btm_b)
            
            color bg_c = is_mitigated ? col_ghost : (is_sup ? col_sup : col_dem)
            color bd_c = color.new(bg_c, 50)
            string t_lbl = is_sup ? "SUPPLY | " + str.tostring(lvl, format.mintick) : "DEMAND | " + str.tostring(lvl, format.mintick)
            
            if not is_mitigated
                if is_sup and lvl < closest_supply
                    closest_supply := lvl
                if not is_sup and lvl > closest_demand
                    closest_demand := lvl

            // DESPLAZAMIENTO APLICADO: left = bar_index - 10
            bx = box.new(left = bar_index - 10, top = top_b, right = bar_index + 10, bottom = btm_b, border_color = bd_c, bgcolor = bg_c, extend = extend.right, text = t_lbl, text_size = size.tiny, text_color = is_mitigated ? color.new(txtMain, 80) : txt_box, text_halign = text.align_right, text_valign = text.align_center)
            array.push(grid_boxes, bx)

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// 5. HUD TÁCTICO (TELEMETRÍA DE RED SINTÉTICA)
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var table hud = table.new(hud_pos, 3, 4, border_width=1, border_color=borderHud, bgcolor=bgHud)

if barstate.islast
    string s_dist = na(closest_supply) or closest_supply == 9999999.9 ? "MITIGATED" : str.tostring(math.round((closest_supply - close) / pip, 1)) + " pips"
    string d_dist = na(closest_demand) or closest_demand == 0.0 ? "MITIGATED" : str.tostring(math.round((close - closest_demand) / pip, 1)) + " pips"

    color pol_col = is_bull_anchor ? thBull : thBear
    string pol_txt = is_bull_anchor ? "BULLISH (LOW)" : "BEARISH (HIGH)"

    table.cell(hud, 0, 0, "[ ADAPTATIVE LIQUIDITY MATRIX ]", text_color=txtMain, text_size=hudSize, text_halign=text.align_left, text_font_family=font.family_monospace)
    table.cell(hud, 1, 0, "", text_color=txtMain) 
    table.cell(hud, 2, 0, "CREATED BY H33RNAN", text_color=txtSub, text_size=hudSize, text_halign=text.align_right, text_font_family=font.family_monospace)
    
    table.cell(hud, 0, 1, "ANCHOR: " + str.tostring(macro_anchor, format.mintick), text_color=txtSub, text_size=hudSize, text_halign=text.align_left, text_font_family=font.family_monospace)
    table.cell(hud, 1, 1, " | ", text_color=txtSub, text_size=hudSize, text_halign=text.align_center)
    table.cell(hud, 2, 1, "POLARITY: " + pol_txt, text_color=pol_col, text_size=hudSize, text_halign=text.align_right, text_font_family=font.family_monospace)

    table.cell(hud, 0, 2, "MODE: " + grid_mode, text_color=color.new(#ffcc02, 0), text_size=hudSize, text_halign=text.align_left, text_font_family=font.family_monospace)
    table.cell(hud, 1, 2, " | ", text_color=txtSub, text_size=hudSize, text_halign=text.align_center)
    table.cell(hud, 2, 2, "MACRO ATR: " + str.tostring(m_atr, format.mintick), text_color=txtSub, text_size=hudSize, text_halign=text.align_right, text_font_family=font.family_monospace)

    table.cell(hud, 0, 3, "NEXT SUPPLY: " + s_dist, text_color=thBear, text_size=hudSize, text_halign=text.align_left, text_font_family=font.family_monospace)
    table.cell(hud, 1, 3, " | ", text_color=txtSub, text_size=hudSize, text_halign=text.align_center)
    table.cell(hud, 2, 3, "NEXT DEMAND: " + d_dist, text_color=thBull, text_size=hudSize, text_halign=text.align_right, text_font_family=font.family_monospace)