Gemini Scalping Dashboard

// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// Description: Gemini Scalping Strategy is a comprehensive monitoring system designed for high-frequency trading and scalping on lower timeframes (1m to 15m). This tool combines a fast-response Trailing Stop based on Average True Range (ATR) with a professional, real-time multi-factor Dashboard to provide a complete view of market structure and momentum.
// 
// Key Features:
// 
// Reactive ATR Trailing Stop: Provides immediate Buy/Sell signals based on volatility expansion and price breakouts. The trail line dynamically changes color to reflect volatility health.
// 
// Contextual Dashboard:
// 
// Choppiness Index (Corrected): Identifies whether the market is in a Trending phase (below 38.2) or a Sideways phase (above 61.8), helping to avoid "noise" in flat markets.
// 
// RSI Control Logic: Uses the 50-level pivot to define market control (Bull Control vs. Bear Control) instead of simple overbought/oversold levels.
// 
// ADX Strength: Measures trend intensity to filter out weak breakouts.
// 
// ATR Expansion: Monitors whether current volatility is above its average to confirm entry momentum.
// 
// How to use:
// 
// Entry: Primary signals are generated by the ATR triangles.
// 
// Confirmation: Use the Dashboard to verify market quality. High-probability trades occur when ATR signals align with "TREND" status on the CHOP and "BULL/BEAR CONTROL" on the RSI.
// 
// Customization: All dashboard elements (position, size, transparency, and theme) are fully customizable via the settings menu.
// 
// Disclaimer: This indicator is for educational and analytical purposes only. Trading involves significant risk, and past performance is not indicative of future results.


//@version=6
indicator("Gemini Scalping Strategy [Pro Dash]", "Gemini Scalp + Dash", overlay = true, precision = 4)

// ==========================================
// 1. STRATEGY INPUTS
// ==========================================
grp_strat    = "⚙️ Strategy Parameters"
atr_period   = input.int(10, "ATR Period", minval = 1, group = grp_strat)
atr_factor   = input.float(1.8, "ATR Multiplier", step = 0.1, group = grp_strat)
vol_filter   = input.float(1.2, "Volatility Sensitivity Filter", step = 0.1, group = grp_strat)

// ==========================================
// 2. DASHBOARD VISUAL INPUTS
// ==========================================
grp_dash     = "📊 Dashboard Aesthetics"
dash_pos     = input.string("Bottom Right", "Position", options = ["Top Right", "Bottom Right", "Top Left", "Bottom Left"], group = grp_dash)
dash_size    = input.string("Small", "Global Size", options = ["Tiny", "Small", "Normal", "Large"], group = grp_dash)
bg_transp    = input.int(5, "Background Transparency", minval = 0, maxval = 100, group = grp_dash)
main_col     = input.color(#0052FF, "Theme Color", group = grp_dash)

// Mapping dimensions and position
txt_size = dash_size == "Tiny" ? size.tiny : dash_size == "Small" ? size.small : dash_size == "Normal" ? size.normal : size.large
pos_map  = dash_pos == "Top Right" ? position.top_right : dash_pos == "Bottom Right" ? position.bottom_right : dash_pos == "Top Left" ? position.top_left : position.bottom_left

// ==========================================
// 3. TECHNICAL CALCULATIONS
// ==========================================
// ATR Volatility & Pure ATR Trend Logic
float tr_val       = ta.tr(true)
float atr_fast     = ta.rma(tr_val, atr_period)
float atr_slow     = ta.sma(atr_fast, 50) 
bool is_volatile   = atr_fast > (atr_slow * vol_filter)

var float trail = 0.0
var int   trend = 1
float loss      = atr_factor * atr_fast

if trend == 1
    trail := math.max(close - loss, nz(trail[1]))
    if close < trail
        trend := -1, trail := close + loss
else
    trail := math.min(close + loss, nz(trail[1]))
    if close > trail
        trend := 1, trail := close - loss

// Secondary Indicators for Context
float rsi_val  = ta.rsi(close, 14)
[plus, minus, adx_val] = ta.dmi(14, 14)
float chop_val = 100 * math.log10(math.sum(tr_val, 14) / (math.max(ta.highest(high, 14), close[1]) - math.min(ta.lowest(low, 14), close[1]))) / math.log10(14)

// ==========================================
// 4. SIGNALS & PLOTS
// ==========================================
// Signals based purely on ATR Crossover
bool entry_long  = ta.crossover(close, trail)
bool entry_short = ta.crossunder(close, trail)

plotshape(entry_long,  "Long ATR",  shape.triangleup,   location.belowbar, color.green, size = size.small)
plotshape(entry_short, "Short ATR", shape.triangledown, location.abovebar, color.red,   size = size.small)

// Stop line color changes based on volatility threshold
color line_c = trend == 1 ? (is_volatile ? color.green : color.gray) : (is_volatile ? color.red : color.gray)
plot(trail, "Trailing Stop", color = line_c, linewidth = 2, style = plot.style_linebr)

// ==========================================
// 5. PROFESSIONAL DASHBOARD RENDERING
// ==========================================
var table dash = table.new(pos_map, 3, 7, bgcolor = color.new(color.black, bg_transp), border_width = 1, border_color = color.new(color.gray, 50))

if barstate.islast
    // Header
    table.cell(dash, 0, 0, "GEMINI UT BOT STRATEGY", text_color = color.white, bgcolor = main_col, text_size = txt_size)
    table.merge_cells(dash, 0, 0, 2, 0)
    
    // Column Headers
    table.cell(dash, 0, 1, "INDICATOR", text_color = color.gray, text_size = size.tiny)
    table.cell(dash, 1, 1, "VALUE",     text_color = color.gray, text_size = size.tiny)
    table.cell(dash, 2, 1, "STATUS",    text_color = color.gray, text_size = size.tiny)

    // CHOP Row (Trend vs Sideways)
    color c_c = chop_val > 61.8 ? color.orange : chop_val < 38.2 ? color.blue : color.gray
    string c_s = chop_val > 61.8 ? "SIDE" : chop_val < 38.2 ? "TREND" : "NEUT"
    table.cell(dash, 0, 2, "CHOP (Trend)", text_color = color.white, text_size = txt_size, text_halign = text.align_left)
    table.cell(dash, 1, 2, str.tostring(chop_val, "0.0"), text_color = color.white, text_size = txt_size)
    table.cell(dash, 2, 2, c_s, bgcolor = c_c, text_color = color.white, text_size = txt_size)

    // RSI Row (Bull vs Bear Control)
    color r_c = rsi_val > 50 ? color.green : color.red
    table.cell(dash, 0, 3, "RSI (Control)", text_color = color.white, text_size = txt_size, text_halign = text.align_left)
    table.cell(dash, 1, 3, str.tostring(rsi_val, "0.0"), text_color = color.white, text_size = txt_size)
    table.cell(dash, 2, 3, rsi_val > 50 ? "BULL" : "BEAR", bgcolor = r_c, text_color = color.white, text_size = txt_size)

    // ATR Row (Volatility Expansion)
    color v_c = is_volatile ? color.orange : color.gray
    table.cell(dash, 0, 4, "ATR (Volat)", text_color = color.white, text_size = txt_size, text_halign = text.align_left)
    table.cell(dash, 1, 4, str.tostring(atr_fast, "0.0004"), text_color = color.white, text_size = txt_size)
    table.cell(dash, 2, 4, is_volatile ? "HIGH" : "LOW", bgcolor = v_c, text_color = color.white, text_size = txt_size)

    // ADX Row (Trend Strength)
    color a_c = adx_val > 25 ? color.green : color.red
    table.cell(dash, 0, 5, "ADX (Force)", text_color = color.white, text_size = txt_size, text_halign = text.align_left)
    table.cell(dash, 1, 5, str.tostring(adx_val, "0.0"), text_color = color.white, text_size = txt_size)
    table.cell(dash, 2, 5, adx_val > 25 ? "STRNG" : "WEAK", bgcolor = a_c, text_color = color.white, text_size = txt_size)

    // ATR ACTION (Current Trend State)
    string act_txt = trend == 1 ? "LONG" : "SHORT"
    color  act_col = trend == 1 ? color.green : color.red
    table.cell(dash, 0, 6, "ATR TREND: " + act_txt, bgcolor = act_col, text_color = color.white, text_size = txt_size)
    table.merge_cells(dash, 0, 6, 2, 6)