//@version=6
// Author: MEOW PURR
// Author Telegram: @MeowForex1
indicator("Drone Arrows with Supply & Demand", "Drone S&D", overlay = true)
// Settings
sensitivity = input.float(1.0, "Sensitivity", 0.1, 5.0, 0.1, group="Signal
Settings")
atr_length = input.int(10, "ATR Length", 1, 50, group="Signal Settings")
atr_multiplier = input.float(7.0, "ATR Multiplier", 1.0, 20.0, 0.5, group="Signal
Settings")
// Filters
use_trend_filter = input.bool(true, "Use Trend Filter", group="Filters")
ma_length = input.int(20, "Moving Average Length", 5, 100, group="Filters")
use_volume_filter = input.bool(false, "Use Volume Filter", group="Filters")
volume_threshold = input.float(1.1, "Volume Threshold", 1.0, 3.0, 0.1,
group="Filters")
show_signals = input.bool(true, "Show Signals", group="Display")
// Risk Management
levels2 = input.bool(true, "Show TP/SL Levels" , group = "Risk Management" ,
inline = "MMDB2")
lvlLines = input.bool(true, "Show Lines ", inline="levels2", group = "Risk
Management")
linesStyle = input.string("SOLID", "", ["SOLID", "DASHED", "DOTTED"],
inline="levels2", group = "Risk Management")
lvlDistance = input.int(40, "Distance", 1, inline="levels2", group = "Risk
Management")
lvlDecimals = input.int(4, " Decimals", 1, 8, inline="levels2", group = "Risk
Management")
atrRisk = input.int(3, "Risk Multiplier ", 1, group = "Risk Management" ,
inline="levels3")
atrLen = input.int(14, " ATR Length", 1, group = "Risk Management" ,
inline="levels3")
percentStop = input.float(1, "Stop Loss % (0 to Disable)", 0, group="Risk
Management")
// Dashboard Settings
show_dashboard = input.bool(true, "Show MTF Dashboard", group="Dashboard")
// Line style
style2 = linesStyle == "SOLID" ? line.style_solid : linesStyle == "DASHED" ?
line.style_dashed : line.style_dotted
// SuperTrend Calculation (hidden)
supertrend(src, factor, atrLen) =>
atr = ta.atr(atrLen)
upperBand = src + factor * atr
lowerBand = src - factor * atr
prevLowerBand = nz(lowerBand[1])
prevUpperBand = nz(upperBand[1])
lowerBand := lowerBand > prevLowerBand or close[1] < prevLowerBand ?
lowerBand : prevLowerBand
upperBand := upperBand < prevUpperBand or close[1] > prevUpperBand ?
upperBand : prevUpperBand
var int direction = na
var float superTrend = na
prevSuperTrend = nz(superTrend[1])
if na(atr[1])
direction := 1
else if prevSuperTrend == prevUpperBand
direction := close > upperBand ? -1 : 1
else
direction := close < lowerBand ? 1 : -1
superTrend := direction == -1 ? lowerBand : upperBand
[superTrend, direction]
// Calculate SuperTrend (for signal generation only)
[supertrend_line, direction] = supertrend(close, sensitivity * atr_multiplier,
atr_length)
// Raw Signals
raw_buy = ta.crossover(close, supertrend_line)
raw_sell = ta.crossunder(close, supertrend_line)
// Filters
// 1. Trend Filter
ma = ta.sma(close, ma_length)
trend_up = close > ma
trend_down = close < ma
trend_filter_buy = not use_trend_filter or trend_up
trend_filter_sell = not use_trend_filter or trend_down
// 2. Volume Filter
volume_ma = ta.sma(volume, 20)
volume_ok = not use_volume_filter or volume > (volume_ma * volume_threshold)
// 3. Basic momentum check
momentum_ok = math.abs(close - close[1]) > ta.atr(14) * 0.1
// Final Signals
buy_signal = raw_buy and trend_filter_buy and volume_ok and momentum_ok
sell_signal = raw_sell and trend_filter_sell and volume_ok and momentum_ok
// Track signals to avoid rapid fire
var int last_signal_bar = 0
var string last_signal_type = ""
signal_cooldown = 2 // minimum bars between signals
bars_since_last = bar_index - last_signal_bar
cooldown_ok = bars_since_last >= signal_cooldown
// Final filtered signals with cooldown
final_buy = buy_signal and cooldown_ok and last_signal_type != "BUY"
final_sell = sell_signal and cooldown_ok and last_signal_type != "SELL"
// Update tracking
if final_buy
last_signal_bar := bar_index
last_signal_type := "BUY"
if final_sell
last_signal_bar := bar_index
last_signal_type := "SELL"
// Multi-Timeframe Trend Analysis using EMA 50
getTrend(tf) =>
ema50 = request.security(syminfo.tickerid, tf, ta.ema(close, 50))
current_close = request.security(syminfo.tickerid, tf, close)
current_close > ema50 ? 1 : current_close < ema50 ? -1 : 0
// Get trends for different timeframes
trend_m1 = getTrend("1")
trend_m5 = getTrend("5")
trend_m15 = getTrend("15")
trend_m30 = getTrend("30")
trend_h1 = getTrend("60")
trend_h4 = getTrend("240")
trend_daily = getTrend("1D")
// Count bullish and bearish trends
bullish_count = (trend_m1 == 1 ? 1 : 0) + (trend_m5 == 1 ? 1 : 0) + (trend_m15 == 1
? 1 : 0) + (trend_m30 == 1 ? 1 : 0) + (trend_h1 == 1 ? 1 : 0) + (trend_h4 == 1 ?
1 : 0) + (trend_daily == 1 ? 1 : 0)
bearish_count = (trend_m1 == -1 ? 1 : 0) + (trend_m5 == -1 ? 1 : 0) + (trend_m15 ==
-1 ? 1 : 0) + (trend_m30 == -1 ? 1 : 0) + (trend_h1 == -1 ? 1 : 0) + (trend_h4 == -
1 ? 1 : 0) + (trend_daily == -1 ? 1 : 0)
// Determine overall market condition
overall_trend = bullish_count >= 4 ? "STRONG BUY" : bearish_count >= 4 ? "STRONG
SELL" : "FLAT MARKET"
// TP/SL Calculation System
countBull = ta.barssince(final_buy)
countBear = ta.barssince(final_sell)
trigger = nz(countBull, bar_index) < nz(countBear, bar_index) ? 1 : 0
atrBand = ta.atr(atrLen) * atrRisk
atrStop = trigger == 1 ? low - atrBand : high + atrBand
srcStop = close
lastTrade(src) => ta.valuewhen(final_buy or final_sell, src, 0)
entry_y = lastTrade(srcStop)
stop_y = lastTrade(atrStop)
tp1_y = (entry_y - lastTrade(atrStop)) * 1 + entry_y
tp2_y = (entry_y - lastTrade(atrStop)) * 2 + entry_y
tp3_y = (entry_y - lastTrade(atrStop)) * 3 + entry_y
tp4_y = (entry_y - lastTrade(atrStop)) * 4 + entry_y
tp5_y = (entry_y - lastTrade(atrStop)) * 5 + entry_y
// Decimal formatting
decimals = lvlDecimals == 1 ? "#.#" : lvlDecimals == 2 ? "#.##" : lvlDecimals ==
3 ? "#.###" : lvlDecimals == 4 ? "#.####" : lvlDecimals == 5 ? "#.#####" :
lvlDecimals == 6 ? "#.######" : lvlDecimals == 7 ? "#.#######" : "#.########"
// Display TP/SL (only on last bar and when there's a signal)
var label entry_lbl = na
var label stop_lbl = na
var label tp1_lbl = na
var label tp2_lbl = na
var label tp3_lbl = na
var label tp4_lbl = na
var label tp5_lbl = na
var line entry_line = na
var line stop_line = na
var line tp1_line = na
var line tp2_line = na
var line tp3_line = na
var line tp4_line = na
var line tp5_line = na
// Track if we have any signals
hasSignal = (not na(countBull) and countBull < bar_index) or (not na(countBear) and
countBear < bar_index)
if barstate.islast
// Delete old labels and lines
label.delete(entry_lbl)
label.delete(stop_lbl)
label.delete(tp1_lbl)
label.delete(tp2_lbl)
label.delete(tp3_lbl)
label.delete(tp4_lbl)
label.delete(tp5_lbl)
line.delete(entry_line)
line.delete(stop_line)
line.delete(tp1_line)
line.delete(tp2_line)
line.delete(tp3_line)
line.delete(tp4_line)
line.delete(tp5_line)
if (levels2 and percentStop != 0 and hasSignal)
entry_lbl := label.new(bar_index + lvlDistance, entry_y, "ENTRY: " +
str.tostring(entry_y, decimals), xloc.bar_index, yloc.price, color.rgb(242, 244,
252), label.style_label_left, #000000, size.normal)
stop_lbl := label.new(bar_index + lvlDistance, stop_y, "STOP LOSS: " +
str.tostring(stop_y, decimals), xloc.bar_index, yloc.price, #f90808,
label.style_label_left, #000000, size.normal)
tp1_lbl := label.new(bar_index + lvlDistance, tp1_y, "TP 1: " +
str.tostring(tp1_y, decimals), xloc.bar_index, yloc.price, #00ff08,
label.style_label_left, #000000, size.normal)
tp2_lbl := label.new(bar_index + lvlDistance, tp2_y, "TP 2: " +
str.tostring(tp2_y, decimals), xloc.bar_index, yloc.price, #00ff08,
label.style_label_left, #000000, size.normal)
tp3_lbl := label.new(bar_index + lvlDistance, tp3_y, "TP 3: " +
str.tostring(tp3_y, decimals), xloc.bar_index, yloc.price, #00ff08,
label.style_label_left, #000000, size.normal)
tp4_lbl := label.new(bar_index + lvlDistance, tp4_y, "TP 4: " +
str.tostring(tp4_y, decimals), xloc.bar_index, yloc.price, #00ff08,
label.style_label_left, #000000, size.normal)
tp5_lbl := label.new(bar_index + lvlDistance, tp5_y, "TP 5: " +
str.tostring(tp5_y, decimals), xloc.bar_index, yloc.price, #00ff08,
label.style_label_left, #000000, size.normal)
if (lvlLines and percentStop != 0 and hasSignal)
// Calculate left bar position safely
bars_since_signal = trigger == 1 ? (na(countBull) ? 0 : countBull) :
(na(countBear) ? 0 : countBear)
left_bar = math.max(0, bar_index - bars_since_signal)
right_bar = bar_index + lvlDistance
entry_line := line.new(left_bar, entry_y, right_bar, entry_y,
xloc.bar_index, extend.none, color.white, style2, 2)
stop_line := line.new(left_bar, stop_y, right_bar, stop_y, xloc.bar_index,
extend.none, color.red, style2, 2)
tp1_line := line.new(left_bar, tp1_y, right_bar, tp1_y, xloc.bar_index,
extend.none, color.green, style2, 1)
tp2_line := line.new(left_bar, tp2_y, right_bar, tp2_y, xloc.bar_index,
extend.none, color.green, style2, 1)
tp3_line := line.new(left_bar, tp3_y, right_bar, tp3_y, xloc.bar_index,
extend.none, color.green, style2, 1)
tp4_line := line.new(left_bar, tp4_y, right_bar, tp4_y, xloc.bar_index,
extend.none, color.green, style2, 1)
tp5_line := line.new(left_bar, tp5_y, right_bar, tp5_y, xloc.bar_index,
extend.none, color.green, style2, 1)
// ONLY PLOT ARROWS - NO LINES OR BAR COLORS
plotshape(final_buy and show_signals,
title='Buy Signal',
text='BUY',
location=location.belowbar,
style=shape.labelup,
size=size.normal,
color=color.green,
textcolor=color.white)
plotshape(final_sell and show_signals,
title='Sell Signal',
text='SELL',
location=location.abovebar,
style=shape.labeldown,
size=size.normal,
color=color.red,
textcolor=color.white)
// Simple Two-Column Dashboard
var table dashboard = table.new(position.top_right, 2, 10, bgcolor=color.rgb(20,
20, 30), border_width=1, border_color=color.rgb(80, 80, 100))
if barstate.islast and show_dashboard
// Header
table.cell(dashboard, 0, 0, "Timeframe", bgcolor=color.rgb(40, 40, 60),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 0, "Trend", bgcolor=color.rgb(40, 40, 60),
text_color=color.white, text_size=size.small)
// Timeframe trends
table.cell(dashboard, 0, 1, "M1", bgcolor=color.rgb(30, 30, 40),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 1, trend_m1 == 1 ? "UP" : trend_m1 == -1 ? "DOWN" :
"FLAT",
bgcolor=color.rgb(30, 30, 40), text_color=trend_m1 == 1 ?
color.green : trend_m1 == -1 ? color.red : color.yellow, text_size=size.small)
table.cell(dashboard, 0, 2, "M5", bgcolor=color.rgb(25, 25, 35),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 2, trend_m5 == 1 ? "UP" : trend_m5 == -1 ? "DOWN" :
"FLAT",
bgcolor=color.rgb(25, 25, 35), text_color=trend_m5 == 1 ?
color.green : trend_m5 == -1 ? color.red : color.yellow, text_size=size.small)
table.cell(dashboard, 0, 3, "M15", bgcolor=color.rgb(30, 30, 40),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 3, trend_m15 == 1 ? "UP" : trend_m15 == -1 ? "DOWN" :
"FLAT",
bgcolor=color.rgb(30, 30, 40), text_color=trend_m15 == 1 ?
color.green : trend_m15 == -1 ? color.red : color.yellow, text_size=size.small)
table.cell(dashboard, 0, 4, "M30", bgcolor=color.rgb(25, 25, 35),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 4, trend_m30 == 1 ? "UP" : trend_m30 == -1 ? "DOWN" :
"FLAT",
bgcolor=color.rgb(25, 25, 35), text_color=trend_m30 == 1 ?
color.green : trend_m30 == -1 ? color.red : color.yellow, text_size=size.small)
table.cell(dashboard, 0, 5, "H1", bgcolor=color.rgb(30, 30, 40),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 5, trend_h1 == 1 ? "UP" : trend_h1 == -1 ? "DOWN" :
"FLAT",
bgcolor=color.rgb(30, 30, 40), text_color=trend_h1 == 1 ?
color.green : trend_h1 == -1 ? color.red : color.yellow, text_size=size.small)
table.cell(dashboard, 0, 6, "H4", bgcolor=color.rgb(25, 25, 35),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 6, trend_h4 == 1 ? "UP" : trend_h4 == -1 ? "DOWN" :
"FLAT",
bgcolor=color.rgb(25, 25, 35), text_color=trend_h4 == 1 ?
color.green : trend_h4 == -1 ? color.red : color.yellow, text_size=size.small)
table.cell(dashboard, 0, 7, "DAILY", bgcolor=color.rgb(30, 30, 40),
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 7, trend_daily == 1 ? "UP" : trend_daily == -1 ?
"DOWN" : "FLAT",
bgcolor=color.rgb(30, 30, 40), text_color=trend_daily == 1 ?
color.green : trend_daily == -1 ? color.red : color.yellow, text_size=size.small)
// Overall market condition
overall_color = overall_trend == "STRONG BUY" ? color.green : overall_trend ==
"STRONG SELL" ? color.red : color.yellow
overall_bg = overall_trend == "STRONG BUY" ? color.rgb(0, 80, 0) :
overall_trend == "STRONG SELL" ? color.rgb(80, 0, 0) : color.rgb(80, 80, 0)
table.cell(dashboard, 0, 8, "OVERALL", bgcolor=overall_bg,
text_color=color.white, text_size=size.small)
table.cell(dashboard, 1, 8, overall_trend, bgcolor=overall_bg,
text_color=overall_color, text_size=size.small)
// Author information
table.cell(dashboard, 0, 9, "Author: MEOW PURR\nTelegram: @MeowForex1",
bgcolor=color.rgb(20, 20, 30), text_color=color.rgb(200, 200, 255),
text_size=size.tiny)
table.cell(dashboard, 1, 9, "", bgcolor=color.rgb(20, 20, 30),
text_color=color.white, text_size=size.tiny)
// Alerts
alertcondition(final_buy, title='Buy Signal', message='BUY Signal Generated!')
alertcondition(final_sell, title='Sell Signal', message='SELL Signal Generated!')
alertcondition(overall_trend == "STRONG BUY", title='Strong Buy Market',
message='Strong Buy Market Condition!')
alertcondition(overall_trend == "STRONG SELL", title='Strong Sell Market',
message='Strong Sell Market Condition!')
