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// This source code is subject to the terms of the Mozilla Public License 2.0 at https://mozilla.org/MPL/2.0/
// © CustomIndicator
//@version=5
indicator(title="Trend Channel SwiftEdge", shorttitle="AI Trend Dashboard", overlay=true)
// Inputs for Main Indicator
ma_type = input.string("EMA", title="AI Moving Average Type", options=["SMA", "EMA", "WMA"])
ma_length = input.int(14, minval=3, title="AI MA Length")
source = input.source(close, title="AI Data Source")
show_ribbon = input.bool(true, title="Show AI Ribbon")
show_background = input.bool(true, title="Show AI Background Glow")
start_year = input.int(1900, title="Start Year", minval=1900, maxval=2100)
end_year = input.int(2100, title="End Year", minval=1900, maxval=2100)
// Input for Signal Filter Timeframe
signal_tf = input.string("15", title="AI Signal Filter Timeframe", options=["1", "5", "15", "60", "240", "D"])
// Function to Calculate Trend Direction for a Given Timeframe
f_calculateTrend(_src, _length, _channel_period) =>
ma = ma_type == "SMA" ? ta.sma(_src, _length) : ma_type == "EMA" ? ta.ema(_src, _length) : ta.wma(_src, _length)
upper_channel = ta.highest(ma, _channel_period)
lower_channel = ta.lowest(ma, _channel_period)
trend = _src > upper_channel[1] ? 1 : _src < lower_channel[1] ? -1 : 0
trend
// Calculate Moving Average (Main Indicator)
ma = ma_type == "SMA" ? ta.sma(source, ma_length) : ma_type == "EMA" ? ta.ema(source, ma_length) : ta.wma(source, ma_length)
// Dynamic Price Channel (Main Indicator)
channel_period = ma_length * 2
upper_channel = ta.highest(ma, channel_period)
lower_channel = ta.lowest(ma, channel_period)
// Trend Detection (Main Indicator)
var int trend_direction = 0
trend_direction := source > upper_channel[1] ? 1 : source < lower_channel[1] ? -1 : trend_direction[1]
// AI-Enhanced Colors with Neon Gradient Effect
neon_green = #39FF14
neon_red = #FF073A
neon_blue = #00BFFF
neon_gray = #808080
ribbon_color = show_ribbon ? trend_direction == 1 ? neon_green : trend_direction == -1 ? neon_red : neon_gray : na
bg_color_up = show_background and trend_direction == 1 ? color.new(neon_green, 85) : na
bg_color_down = show_background and trend_direction == -1 ? color.new(neon_red, 85) : na
channel_color = show_ribbon ? color.new(neon_blue, 40) : na
// Plotting with Holographic Effect
plot_ma = plot(ma, title="AI Moving Average", color=ribbon_color, linewidth=3, style=plot.style_stepline)
plot_upper = plot(upper_channel, title="AI Upper Channel", color=channel_color, linewidth=2, style=plot.style_stepline)
plot_lower = plot(lower_channel, title="AI Lower Channel", color=channel_color, linewidth=2, style=plot.style_stepline)
// Background Glow with Gradient
fill(plot_upper, plot_lower, color=bg_color_up, title="AI Bullish Glow")
fill(plot_upper, plot_lower, color=bg_color_down, title="AI Bearish Glow")
// Time Filter
time_valid = time >= timestamp(start_year, 1, 1, 0, 0) and time <= timestamp(end_year, 12, 31, 23, 59)
// Multi-Timeframe Trend Analysis
src_1m = request.security(syminfo.tickerid, "1", source)
src_5m = request.security(syminfo.tickerid, "5", source)
src_15m = request.security(syminfo.tickerid, "15", source)
src_1h = request.security(syminfo.tickerid, "60", source)
src_4h = request.security(syminfo.tickerid, "240", source)
src_1d = request.security(syminfo.tickerid, "D", source)
trend_1m = f_calculateTrend(src_1m, ma_length, channel_period)
trend_5m = f_calculateTrend(src_5m, ma_length, channel_period)
trend_15m = f_calculateTrend(src_15m, ma_length, channel_period)
trend_1h = f_calculateTrend(src_1h, ma_length, channel_period)
trend_4h = f_calculateTrend(src_4h, ma_length, channel_period)
trend_1d = f_calculateTrend(src_1d, ma_length, channel_period)
// AI-Enhanced Dashboard
var table trend_table = table.new(position.top_right, 2, 8, border_width=2, border_color=neon_blue, bgcolor=color.new(color.black, 80))
if barstate.islastconfirmedhistory
table.cell(trend_table, 0, 0, "AI Trend", bgcolor=color.new(neon_blue, 60), text_color=color.white, text_size=size.normal)
table.cell(trend_table, 1, 0, "Analysis", bgcolor=color.new(neon_blue, 60), text_color=color.white, text_size=size.normal)
table.cell(trend_table, 0, 1, "Timeframe", bgcolor=color.new(color.gray, 80), text_color=neon_blue)
table.cell(trend_table, 1, 1, "Trend", bgcolor=color.new(color.gray, 80), text_color=neon_blue)
table.cell(trend_table, 0, 2, "1 Min", bgcolor=color.new(color.black, 90), text_color=neon_blue)
table.cell(trend_table, 1, 2, trend_1m == 1 ? "UP" : trend_1m == -1 ? "DOWN" : "NEUTRAL",
bgcolor=trend_1m == 1 ? color.new(neon_green, 60) : trend_1m == -1 ? color.new(neon_red, 60) : color.new(neon_gray, 60), text_color=color.white)
table.cell(trend_table, 0, 3, "5 Min", bgcolor=color.new(color.black, 90), text_color=neon_blue)
table.cell(trend_table, 1, 3, trend_5m == 1 ? "UP" : trend_5m == -1 ? "DOWN" : "NEUTRAL",
bgcolor=trend_5m == 1 ? color.new(neon_green, 60) : trend_5m == -1 ? color.new(neon_red, 60) : color.new(neon_gray, 60), text_color=color.white)
table.cell(trend_table, 0, 4, "15 Min", bgcolor=color.new(color.black, 90), text_color=neon_blue)
table.cell(trend_table, 1, 4, trend_15m == 1 ? "UP" : trend_15m == -1 ? "DOWN" : "NEUTRAL",
bgcolor=trend_15m == 1 ? color.new(neon_green, 60) : trend_15m == -1 ? color.new(neon_red, 60) : color.new(neon_gray, 60), text_color=color.white)
table.cell(trend_table, 0, 5, "1 Hour", bgcolor=color.new(color.black, 90), text_color=neon_blue)
table.cell(trend_table, 1, 5, trend_1h == 1 ? "UP" : trend_1h == -1 ? "DOWN" : "NEUTRAL",
bgcolor=trend_1h == 1 ? color.new(neon_green, 60) : trend_1h == -1 ? color.new(neon_red, 60) : color.new(neon_gray, 60), text_color=color.white)
table.cell(trend_table, 0, 6, "4 Hour", bgcolor=color.new(color.black, 90), text_color=neon_blue)
table.cell(trend_table, 1, 6, trend_4h == 1 ? "UP" : trend_4h == -1 ? "DOWN" : "NEUTRAL",
bgcolor=trend_4h == 1 ? color.new(neon_green, 60) : trend_4h == -1 ? color.new(neon_red, 60) : color.new(neon_gray, 60), text_color=color.white)
table.cell(trend_table, 0, 7, "1 Day", bgcolor=color.new(color.black, 90), text_color=neon_blue)
table.cell(trend_table, 1, 7, trend_1d == 1 ? "UP" : trend_1d == -1 ? "DOWN" : "NEUTRAL",
bgcolor=trend_1d == 1 ? color.new(neon_green, 60) : trend_1d == -1 ? color.new(neon_red, 60) : color.new(neon_gray, 60), text_color=color.white)
// Signal Filter Trend
signal_trend = request.security(syminfo.tickerid, signal_tf, f_calculateTrend(source, ma_length, channel_period))
// Check Higher Timeframes for Trend Direction
bool higher_tf_up = false
bool higher_tf_down = false
if signal_tf == "1"
higher_tf_up := trend_5m == 1 and trend_15m == 1 and trend_1h == 1 and trend_4h == 1
higher_tf_down := trend_5m == -1 and trend_15m == -1 and trend_1h == -1 and trend_4h == -1
else if signal_tf == "5"
higher_tf_up := trend_15m == 1 and trend_1h == 1 and trend_4h == 1
higher_tf_down := trend_15m == -1 and trend_1h == -1 and trend_4h == -1
else if signal_tf == "15"
higher_tf_up := trend_1h == 1 and trend_4h == 1
higher_tf_down := trend_1h == -1 and trend_4h == -1
else if signal_tf == "60"
higher_tf_up := trend_4h == 1 and trend_1d == 1
higher_tf_down := trend_4h == -1 and trend_1d == -1
else if signal_tf == "240"
higher_tf_up := trend_1d == 1
higher_tf_down := trend_1d == -1
else if signal_tf == "D"
higher_tf_up := true // No higher timeframe to check
higher_tf_down := true
// Buy and Sell Signals based on Trend Cross in Signal Filter Timeframe, Main Trend, and Higher Timeframes
buy_signal = ta.crossover(signal_trend, 0) and trend_direction == 1 and (signal_trend == 1 or (signal_trend == 0 and higher_tf_up)) and time_valid
sell_signal = ta.crossunder(signal_trend, 0) and trend_direction == -1 and (signal_trend == -1 or (signal_trend == 0 and higher_tf_down)) and time_valid
// AI-Enhanced Buy and Sell Signals with Futuristic Labels
if buy_signal
label.new(bar_index, low, "🚀 AI BUY", color=neon_green, style=label.style_label_up, textcolor=color.white, size=size.normal)
if sell_signal
label.new(bar_index, high, "🛑 AI SELL", color=neon_red, style=label.style_label_down, textcolor=color.white, size=size.normal)