MONETRA• “Ensures trades follow precise stop-loss, entry, and take-profit rules.”
• “Helps traders stick to predefined stop, entry, and partial profit targets with accuracy.”
النطاقات والقنوات
9:30 AM 1-Minute Open HighlightScript Description
This script highlights the first 1-minute candle of the New York session (09:30 ET) on every trading day.
It automatically detects the opening bar and marks its full range (high–low) with a box that remains visible across all timeframes.
The script keeps only the most recent 30 trading days on the chart, so older markers are automatically removed.
This makes it easy to track the NY open consistently and use it as a reference point for daily analysis and trading setups.
EMA Crossover Buy/Sell with Switchable TimeframeCreated to Set a buy and Sell SIgnal Off the 15m TF/ with the Ema's set to 1 and 7. will kick the signal 1 candle before the move or on the move itself.
Multi-Symbol Options Trading IndicatorSymbol Configuration: User can input three different symbols (INDEX, CE, PE) with individual timeframes
Customizable Settings: Fully editable MACD and Stochastic parameters
Signal Generation:
BUY CE: When INDEX shows bullish signals AND CE option shows bullish signals
BUY PE: When INDEX shows bearish signals AND PE option shows bullish signals
Signal Conditions:
BUY CE Signal (all must be true):
INDEX: Stochastic %K > %D
INDEX: MACD line > Signal line
INDEX: Histogram shows bullish trend over specified bars
CE: Stochastic %K > %D
CE: MACD line > Signal line
CE: Histogram shows bullish trend over specified bars
BUY PE Signal (all must be true):
INDEX: Stochastic %K < %D
INDEX: MACD line < Signal line
INDEX: Histogram shows bearish trend over specified bars
PE: Stochastic %K > %D
PE: MACD line > Signal line
PE: Histogram shows bullish trend over specified bars
Visual Elements:
Green triangle up with "BUY CE" text when CE signal triggers
Red triangle down with "BUY PE" text when PE signal triggers
Background coloring on signal candles
Conditions table showing real-time status of all conditions
Alerts for both signal types
Usage Instructions:
Add the indicator to your chart
Configure your three symbols (INDEX, CE option, PE option)
Set timeframes for each symbol
Adjust MACD and Stochastic parameters as needed
Set the number of histogram bars for trend analysis
Enable/disable the conditions table and choose its position
The table will show you exactly which conditions are met (✓) or not met (✗) for both signal types, making it easy to monitor the setup in real-time.
🏆 AI Gold Master IndicatorsAI Gold Master Indicators - Technical Overview
Core Purpose: Advanced Pine Script indicator that analyzes 20 technical indicators simultaneously for XAUUSD (Gold) trading, generating automated buy/sell signals through a sophisticated scoring system.
Key Features
📊 Multi-Indicator Analysis
Processes 20 indicators: RSI, MACD, Bollinger Bands, EMA crossovers, Stochastic, Williams %R, CCI, ATR, Volume, ADX, Parabolic SAR, Ichimoku, MFI, ROC, Fibonacci retracements, Support/Resistance, Candlestick patterns, MA Ribbon, VWAP, Market Structure, and Cloud MA
Each indicator generates BUY (🟢), SELL (🔴), or NEUTRAL (⚪) signals
⚖️ Dual Scoring Systems
Weighted System: Each indicator has configurable weights (10-200 points, total 1000), with higher weights for critical indicators like RSI (150) and MACD (150)
Simple Count System: Basic counting of BUY vs SELL signals across all indicators
🎯 Signal Generation
Configurable thresholds for both systems (weighted score threshold: 400-600 recommended)
Dynamic risk management with ATR-based TP/SL levels
Signal strength filtering to reduce false positives
📈 Advanced Configuration
Customizable thresholds for all 20 indicators (RSI levels, Stochastic bounds, Williams %R zones, etc.)
Dynamic weight bonuses that adapt to dominant market trends
Risk management with configurable TP1/TP2 multipliers and stop losses
🎛️ Visual Interface
Real-time master table displaying all indicators, their values, weights, and current signals
Visual trading signals (triangles) with detailed labels
Optional TP/SL lines and performance statistics
💡 Optimization Features
Gold-specific parameter tuning
Trend analysis with configurable lookback periods
Volume spike detection and volatility analysis
Multi-timeframe compatibility (15m, 1H, 4H recommended)
The system combines traditional technical analysis with modern weighting algorithms to provide comprehensive market analysis specifically optimized for gold trading.
Ragazzi è una meraviglia, pronto all uso, già configurato provatelo divertitevi e fate tanti soldoni poi magari una piccola donazione spontanea sarebbe molto gradita visto il tempo, risorse e gli insulti della moglie che mi diceva che perdevo tempo, fatemi sapere se vi piace.
nel codice troverete una descrizione del funzionamento se vi vengono in mente delle idee per migliorarlo contattatemi troverete i mie contatti in tabella un saluto.
Indicador – Market In + TP +0.52% / SL -0.84% (USD) NEWindicator that is very comprehensive and detailed, working in real time for 1-, 2-, and 5-minute charts, marking on the chart and writing (Buy here) when it’s time to enter and (Sell here) when it’s time to exit the trade, always considering $0.02 above the entry price.
indicador no trading view de forma bem ampla e detalhada em tempo real para graficos de 1 / 2 e 5 mins apontando no grafico e escrevendo (Comprar aqui) quando for o momento de entrada e (Vender aqui) quando for o momento de sair da operação, sempre considerando 0,02 centavos acima do preço de entrada
BankNifty Institutional Zone MapperBankNifty Institutional Zone Mapper is a powerful support–resistance mapping tool designed to reveal the hidden grid where institutions are most likely placing their orders.
Instead of random lines, this indicator uses dual baselines with equidistant spacing to create highly accurate zones that act as magnets for price.
🔹 Why try it?
Detect institutional reaction levels instantly.
Spot high-probability support & resistance zones without guesswork.
Works seamlessly across intraday & positional trading.
Eliminates chart clutter while keeping the levels precise & repeatable.
Whether you’re trading BankNifty options, futures, or intraday moves, these zones will help you identify where real market battles are happening.
Add it once to your chart, and you’ll immediately see why price respects these levels again and again.
Snapfront WCTφ Coherence BandsSnapfront Coherence Bands — WCTφ (v6)
The Snapfront Coherence Bands (SCB) extend classic ATR-style bands with a coherence-driven engine. Instead of simple volatility envelopes, SCB adapt dynamically to market entropy, trend stability, and regime detection.
Core Features:
📊 WCTφ (Weighted Coherence Tracking) to measure entropy & disorder
🔍 Adaptive band width scaling with chaos factor (ATR × coherence)
🎯 Regime coloring:
Trend (lime)
Breakout (aqua)
Mean reversion (yellow)
Exhaustion (orange)
⚡ Squeeze detector with percentile-based compression zones
🟢/🔴 Entry/exit arrows on crossovers (optional)
Use Cases:
Spot high-clarity trend moves vs. noisy ranges
Anticipate volatility squeezes & breakout setups
Filter trades by regime classification
Visualize price stability with adaptive banding
⚠️ Invite-Only Access:
Available exclusively via SnapfrontTech. Subscription required.
StarterPack MAs🚀 Starter Moving Averages Indicator
This indicator was built by combining all the moving averages I personally use in my trading, organized in a clear and visual way to make market reading much easier. Instead of jumping between multiple tools, you now have everything in one place – designed to highlight trend direction, potential reversal areas, and dynamic zones of support and resistance.
📊 With this tool, you will be able to:
Quickly identify whether moving averages are aligned or diverging.
Spot moments of strong trending movement and possible shifts in momentum.
Use it as a filter for cleaner trade entries, reducing noise.
Track areas that often act as price “magnets” during intraday sessions.
💡 The idea is not to give you a rigid “buy/sell” signal, but to provide a market reading framework that adapts to different trading styles – whether you’re riding trends or looking for reversals at key levels. It brings structure, clarity, and consistency to the way you analyze your charts.
🔥 At the end of the day, this indicator is about perspective: making your screen cleaner, your decision-making faster, and your execution more confident. It’s not a magic button – it’s a powerful lens to help you see what really matters in the market.
P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R//@version=6
indicator("P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R", overlay=true, max_lines_count=500, max_labels_count=500)
// ====== General =====
side = input.string("Long", "Position Side", options= )
usd_dp = input.int(2, "USD decimals", minval=0, maxval=6)
// ====== HUD Settings ======
hud_font = input.string("large", "HUD font size", options= )
hud_bg = input.color(color.new(color.black, 0), "HUD background color")
hud_txtc = input.color(color.white, "HUD text color")
hud_side = input.string("Right of price", "HUD side", options= )
hud_off_bars = input.int(3, "Horizontal offset (bars)", minval=0, maxval=50)
hud_off_atr = input.float(0.2, "Vertical offset from price (ATR)", step=0.1)
atr_len = input.int(14, "ATR length for vertical offset", minval=1)
lock_to_last_bar = input.bool(true, "Lock HUD to the last bar")
// Show HUD even when there are no entries (test text)
force_show_hud = input.bool(true, "🔍 Show HUD even with no entries")
// ====== Shared SL & Targets ======
stop_inp = input.float(0.0, "Stop Loss (shared, optional)", step=0.0001)
use_tp1 = input.bool(false, "Enable Target 1")
tp1 = input.float(0.0, "Target 1 price", step=0.0001)
use_tp2 = input.bool(false, "Enable Target 2")
tp2 = input.float(0.0, "Target 2 price", step=0.0001)
use_tp3 = input.bool(false, "Enable Target 3")
tp3 = input.float(0.0, "Target 3 price", step=0.0001)
use_tp4 = input.bool(false, "Enable Target 4")
tp4 = input.float(0.0, "Target 4 price", step=0.0001)
use_tp5 = input.bool(false, "Enable Target 5")
tp5 = input.float(0.0, "Target 5 price", step=0.0001)
// ====== Four Independent Entries ======
group1 = "Entry 1"
en1 = input.bool(true, "Enable Entry 1", inline=group1)
lev1 = input.int(10, "Leverage", minval=1, maxval=200, inline=group1)
entry1 = input.float(0.0, "Entry 1 price", step=0.0001)
set_now1 = input.bool(false, "⚡ Set Entry1 = Current Price")
mode1 = input.string("USD (USDT)", "Size unit 1", options= )
sem1 = input.string("Margin (apply leverage)", "Size meaning 1", options= )
size1 = input.float(0.0, "Position size 1", step=0.0001)
baseLev1 = input.bool(false, "Apply leverage to 'Coin Quantity' (1)")
group2 = "Entry 2"
en2 = input.bool(false, "Enable Entry 2", inline=group2)
lev2 = input.int(10, "Leverage", minval=1, maxval=200, inline=group2)
entry2 = input.float(0.0, "Entry 2 price", step=0.0001)
set_now2 = input.bool(false, "⚡ Set Entry2 = Current Price")
mode2 = input.string("USD (USDT)", "Size unit 2", options= )
sem2 = input.string("Margin (apply leverage)", "Size meaning 2", options= )
size2 = input.float(0.0, "Position size 2", step=0.0001)
baseLev2 = input.bool(false, "Apply leverage to 'Coin Quantity' (2)")
group3 = "Entry 3"
en3 = input.bool(false, "Enable Entry 3", inline=group3)
lev3 = input.int(10, "Leverage", minval=1, maxval=200, inline=group3)
entry3 = input.float(0.0, "Entry 3 price", step=0.0001)
set_now3 = input.bool(false, "⚡ Set Entry3 = Current Price")
mode3 = input.string("USD (USDT)", "Size unit 3", options= )
sem3 = input.string("Margin (apply leverage)", "Size meaning 3", options= )
size3 = input.float(0.0, "Position size 3", step=0.0001)
baseLev3 = input.bool(false, "Apply leverage to 'Coin Quantity' (3)")
group4 = "Entry 4"
en4 = input.bool(false, "Enable Entry 4", inline=group4)
lev4 = input.int(10, "Leverage", minval=1, maxval=200, inline=group4)
entry4 = input.float(0.0, "Entry 4 price", step=0.0001)
set_now4 = input.bool(false, "⚡ Set Entry4 = Current Price")
mode4 = input.string("USD (USDT)", "Size unit 4", options= )
sem4 = input.string("Margin (apply leverage)", "Size meaning 4", options= )
size4 = input.float(0.0, "Position size 4", step=0.0001)
baseLev4 = input.bool(false, "Apply leverage to 'Coin Quantity' (4)")
// Quick set entries = current price
entry1 := (en1 and set_now1) ? close : entry1
entry2 := (en2 and set_now2) ? close : entry2
entry3 := (en3 and set_now3) ? close : entry3
entry4 := (en4 and set_now4) ? close : entry4
// ====== Helpers ======
to_size(s) =>
s == "tiny" ? size.tiny : s == "small" ? size.small : s == "normal" ? size.normal : s == "large" ? size.large : size.huge
f_usd_str(_val, _decimals) =>
na(_val) ? "—" : str.tostring(math.round(_val * math.pow(10, _decimals)) / math.pow(10, _decimals))
f_qty_base(mode, sem, size, entry, baseLev, lev) =>
float _qty = na
if mode == "USD (USDT)"
_qty := (size > 0 and entry > 0) ? ((sem == "Margin (apply leverage)" ? size * lev : size) / entry) : na
else
_qty := size > 0 ? (baseLev ? size * lev : size) : na
_qty
f_notional_quote(mode, sem, size, entry, lev, baseLev) =>
if mode == "USD (USDT)"
sem == "Margin (apply leverage)" ? size * lev : size
else
(baseLev ? size * lev : size) * entry
f_pnl_quote(side, entry, qty) =>
na(qty) or na(entry) ? na : (side=="Long" ? (close - entry) : (entry - close)) * qty
f_pct(side, entry) =>
na(entry) ? na : ((close - entry) / entry * 100.0) * (side=="Long" ? 1 : -1)
f_roi_pct(side, entry, lev) =>
na(entry) ? na : f_pct(side, entry) * lev
// NOTE: _lineIn must be a line, not a float
f_stickyHLine(_price, _lineIn, _color, _width) =>
var line _out = na
_out := _lineIn
if na(_out)
_out := line.new(bar_index-1, _price, bar_index+1, _price, xloc=xloc.bar_index, extend=extend.both, width=_width, style=line.style_dashed, color=_color)
else
line.set_xy1(_out, bar_index-1, _price)
line.set_xy2(_out, bar_index+1, _price)
line.set_color(_out, _color)
line.set_width(_out, _width)
_out
// ====== 4 Entries Calculations ======
var color entryCols = array.from(color.new(color.yellow, 0), color.new(color.orange, 0), color.new(color.teal, 0), color.new(color.fuchsia, 0))
bool ens = array.from(en1, en2, en3, en4)
float entries = array.from(entry1, entry2, entry3, entry4)
int levs = array.from(lev1, lev2, lev3, lev4)
string modes = array.from(mode1, mode2, mode3, mode4)
string sems = array.from(sem1, sem2, sem3, sem4)
float sizes = array.from(size1, size2, size3, size4)
bool baseLevs = array.from(baseLev1, baseLev2, baseLev3, baseLev4)
float qtys = array.new_float(4, na)
float pnls = array.new_float(4, na)
float pcts = array.new_float(4, na)
float rois = array.new_float(4, na)
float notionals = array.new_float(4, na)
for i = 0 to 3
if array.get(ens, i) and array.get(entries, i) > 0
ent = array.get(entries, i)
levX = array.get(levs, i)
modeX= array.get(modes, i)
semX = array.get(sems, i)
sizeX= array.get(sizes, i)
bLev = array.get(baseLevs, i)
qty = f_qty_base(modeX, semX, sizeX, ent, bLev, levX)
array.set(qtys, i, qty)
pnlq = f_pnl_quote(side, ent, qty)
array.set(pnls, i, pnlq)
pct = f_pct(side, ent)
array.set(pcts, i, pct)
roi = f_roi_pct(side, ent, levX)
array.set(rois, i, roi)
notq = f_notional_quote(modeX, semX, sizeX, ent, levX, bLev)
array.set(notionals, i, notq)
// ====== Totals & Weighted Avg Entry ======
float totalPnlUSD = 0.0
float totalNotional = 0.0
float totalQty = 0.0
float wAvgEntry = na
for i = 0 to 3
if not na(array.get(pnls, i))
totalPnlUSD += array.get(pnls, i)
if not na(array.get(notionals, i))
totalNotional += array.get(notionals, i)
if not na(array.get(qtys, i)) and array.get(entries, i) > 0
totalQty += array.get(qtys, i)
if totalQty > 0
num = 0.0
for i = 0 to 3
qi = array.get(qtys, i)
ei = array.get(entries, i)
if not na(qi) and ei > 0
num += qi * ei
wAvgEntry := num / totalQty
totalROIweighted = totalNotional > 0 ? (totalPnlUSD / totalNotional) * 100.0 : na
// ====== Nearest TP & R:R ======
float nearestTP = na
float nearestDistPrice = na
float nearestDistPct = na
float risk_pct = na
float reward_pct = na
float rr = na
var float tps = array.new_float()
array.clear(tps)
if use_tp1 and tp1 > 0
array.push(tps, tp1)
if use_tp2 and tp2 > 0
array.push(tps, tp2)
if use_tp3 and tp3 > 0
array.push(tps, tp3)
if use_tp4 and tp4 > 0
array.push(tps, tp4)
if use_tp5 and tp5 > 0
array.push(tps, tp5)
// nearest target in the trade direction (from current price)
if array.size(tps) > 0
for i = 0 to array.size(tps) - 1
_tp = array.get(tps, i)
cond = side=="Long" ? (_tp > close) : (_tp < close)
if cond
distP = math.abs(_tp - close)
if na(nearestDistPrice) or distP < nearestDistPrice
nearestDistPrice := distP
nearestTP := _tp
if not na(nearestDistPrice) and close != 0
nearestDistPct := (nearestDistPrice / close) * 100.0
float stop = stop_inp > 0 ? stop_inp : na
if not na(wAvgEntry) and not na(stop)
rawRisk = (side=="Long" ? (stop - wAvgEntry) : (wAvgEntry - stop)) / wAvgEntry * 100.0
risk_pct := math.abs(rawRisk)
if not na(wAvgEntry) and not na(nearestTP)
reward_pct := math.abs((side=="Long" ? (nearestTP - wAvgEntry) : (wAvgEntry - nearestTP)) / wAvgEntry * 100.0)
rr := (not na(risk_pct) and not na(reward_pct) and risk_pct != 0) ? reward_pct / risk_pct : na
// ====== Average R:R across all valid targets ======
float rr_avg = na
if not na(wAvgEntry) and not na(stop) and array.size(tps) > 0 and not na(risk_pct) and risk_pct != 0
float sum_rr = 0.0
int cnt_rr = 0
for i = 0 to array.size(tps) - 1
_tp = array.get(tps, i)
bool validDir = side=="Long" ? (_tp > wAvgEntry) : (_tp < wAvgEntry)
if validDir
_reward = math.abs((side=="Long" ? (_tp - wAvgEntry) : (wAvgEntry - _tp)) / wAvgEntry * 100.0)
_rr = _reward / risk_pct
sum_rr += _rr
cnt_rr += 1
rr_avg := cnt_rr > 0 ? (sum_rr / cnt_rr) : na
// ====== Entry/SL/TP Lines ======
var line entryLines = array.new_line(4, na)
for i = 0 to 3
ln = array.get(entryLines, i)
if array.get(ens, i) and array.get(entries, i) > 0
col = array.get(entryCols, i)
ent = array.get(entries, i)
ln := f_stickyHLine(ent, ln, col, 2)
array.set(entryLines, i, ln)
else
if not na(ln)
line.delete(ln)
array.set(entryLines, i, na)
var line slLine = na
if not na(stop)
slLine := f_stickyHLine(stop, slLine, color.new(color.red, 0), 1)
else
if not na(slLine)
line.delete(slLine)
slLine := na
var line tpLine1 = na
var line tpLine2 = na
var line tpLine3 = na
var line tpLine4 = na
var line tpLine5 = na
if use_tp1 and tp1 > 0
tpLine1 := f_stickyHLine(tp1, tpLine1, color.new(color.teal, 0), 1)
else
if not na(tpLine1)
line.delete(tpLine1)
tpLine1 := na
if use_tp2 and tp2 > 0
tpLine2 := f_stickyHLine(tp2, tpLine2, color.new(color.teal, 0), 1)
else
if not na(tpLine2)
line.delete(tpLine2)
tpLine2 := na
if use_tp3 and tp3 > 0
tpLine3 := f_stickyHLine(tp3, tpLine3, color.new(color.teal, 0), 1)
else
if not na(tpLine3)
line.delete(tpLine3)
tpLine3 := na
if use_tp4 and tp4 > 0
tpLine4 := f_stickyHLine(tp4, tpLine4, color.new(color.teal, 0), 1)
else
if not na(tpLine4)
line.delete(tpLine4)
tpLine4 := na
if use_tp5 and tp5 > 0
tpLine5 := f_stickyHLine(tp5, tpLine5, color.new(color.teal, 0), 1)
else
if not na(tpLine5)
line.delete(tpLine5)
tpLine5 := na
// ====== Build HUD Text ======
string txt = ""
// Per-entry rows
for i = 0 to 3
if array.get(ens, i) and array.get(entries, i) > 0
idx = i + 1
ent = array.get(entries, i)
pct = array.get(pcts, i)
pnlq = array.get(pnls, i)
roi = array.get(rois, i)
levX = array.get(levs, i)
txt += (txt=="" ? "" : " ") + "📌 Entry " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick)
txt += " 📊 Live: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp))
txt += " 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%")
// Summary or test HUD
if txt != ""
if totalQty > 0
txt += " — — —"
txt += " ⚖️ Weighted Avg Entry: " + str.tostring(wAvgEntry, format.mintick)
if not na(stop)
txt += " ❌ SL: " + str.tostring(stop, format.mintick)
// Nearest target (from current price)
string tpInfo = "—"
if not na(nearestTP)
tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)")
txt += " 🎯 Nearest: " + tpInfo
// R:R (nearest)
if not na(rr)
txt += " 📐 R:R (nearest): " + str.tostring(rr, format.mintick)
// Avg R:R across all valid TPs (by direction from weighted entry)
if not na(rr_avg)
txt += " 📐 Avg R:R (all valid TPs): " + str.tostring(rr_avg, format.mintick)
// Totals
txt += " 🧾 Total P/L: " + "$" + f_usd_str(totalPnlUSD, usd_dp)
txt += " 🧮 Weighted ROI (by Notional): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%")
else if force_show_hud
txt := "🧪 HUD is active. Fill Entry prices or tick ⚡. Enable TP/SL to see lines."
// ====== HUD Placement (near live price) ======
var label hud = na
atr_val = nz(ta.atr(atr_len), 0.0)
anchor_price = close
y_pos = na(anchor_price) ? na : anchor_price + (atr_val * hud_off_atr)
x_pos_base = bar_index
off = hud_side == "Right of price" ? hud_off_bars : -hud_off_bars
x_pos = lock_to_last_bar ? (barstate.islast ? (x_pos_base + off) : x_pos_base) : (x_pos_base + off)
// Pick label style by side:
// - Right of price → pointer on LEFT edge → style_label_left
// - Left of price → pointer on RIGHT edge → style_label_right
label_style = hud_side == "Right of price" ? label.style_label_left : label.style_label_right
if not na(y_pos) and txt != ""
if na(hud)
hud := label.new(x_pos, y_pos, txt, xloc=xloc.bar_index, style=label_style, textcolor=hud_txtc, color=hud_bg, size=to_size(hud_font))
else
label.set_x(hud, x_pos)
label.set_y(hud, y_pos)
label.set_text(hud, txt)
label.set_textcolor(hud, hud_txtc)
label.set_color(hud, hud_bg)
label.set_style(hud, label_style)
label.set_size(hud, to_size(hud_font))
else
if not na(hud)
label.delete(hud)
hud := na
P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R//@version=6
indicator("P/L Panel + Multi Targets (4 Entries) – HUD near Price + Avg R:R", overlay=true, max_lines_count=500, max_labels_count=500)
// ====== General ======
side = input.string("Long", "Position Side", options= )
usd_dp = input.int(2, "USD decimals", minval=0, maxval=6)
// ====== HUD Settings ======
hud_font = input.string("large", "HUD font size", options= )
hud_bg = input.color(color.new(color.black, 0), "HUD background color")
hud_txtc = input.color(color.white, "HUD text color")
hud_side = input.string("Right of price", "HUD side", options= )
hud_off_bars = input.int(3, "Horizontal offset (bars)", minval=0, maxval=50)
hud_off_atr = input.float(0.2, "Vertical offset from price (ATR)", step=0.1)
atr_len = input.int(14, "ATR length for vertical offset", minval=1)
lock_to_last_bar = input.bool(true, "Lock HUD to the last bar")
// Show HUD even when there are no entries (test text)
force_show_hud = input.bool(true, "🔍 Show HUD even with no entries")
// ====== Shared SL & Targets ======
stop_inp = input.float(0.0, "Stop Loss (shared, optional)", step=0.0001)
use_tp1 = input.bool(false, "Enable Target 1")
tp1 = input.float(0.0, "Target 1 price", step=0.0001)
use_tp2 = input.bool(false, "Enable Target 2")
tp2 = input.float(0.0, "Target 2 price", step=0.0001)
use_tp3 = input.bool(false, "Enable Target 3")
tp3 = input.float(0.0, "Target 3 price", step=0.0001)
use_tp4 = input.bool(false, "Enable Target 4")
tp4 = input.float(0.0, "Target 4 price", step=0.0001)
use_tp5 = input.bool(false, "Enable Target 5")
tp5 = input.float(0.0, "Target 5 price", step=0.0001)
// ====== Four Independent Entries ======
group1 = "Entry 1"
en1 = input.bool(true, "Enable Entry 1", inline=group1)
lev1 = input.int(10, "Leverage", minval=1, maxval=200, inline=group1)
entry1 = input.float(0.0, "Entry 1 price", step=0.0001)
set_now1 = input.bool(false, "⚡ Set Entry1 = Current Price")
mode1 = input.string("USD (USDT)", "Size unit 1", options= )
sem1 = input.string("Margin (apply leverage)", "Size meaning 1", options= )
size1 = input.float(0.0, "Position size 1", step=0.0001)
baseLev1 = input.bool(false, "Apply leverage to 'Coin Quantity' (1)")
group2 = "Entry 2"
en2 = input.bool(false, "Enable Entry 2", inline=group2)
lev2 = input.int(10, "Leverage", minval=1, maxval=200, inline=group2)
entry2 = input.float(0.0, "Entry 2 price", step=0.0001)
set_now2 = input.bool(false, "⚡ Set Entry2 = Current Price")
mode2 = input.string("USD (USDT)", "Size unit 2", options= )
sem2 = input.string("Margin (apply leverage)", "Size meaning 2", options= )
size2 = input.float(0.0, "Position size 2", step=0.0001)
baseLev2 = input.bool(false, "Apply leverage to 'Coin Quantity' (2)")
group3 = "Entry 3"
en3 = input.bool(false, "Enable Entry 3", inline=group3)
lev3 = input.int(10, "Leverage", minval=1, maxval=200, inline=group3)
entry3 = input.float(0.0, "Entry 3 price", step=0.0001)
set_now3 = input.bool(false, "⚡ Set Entry3 = Current Price")
mode3 = input.string("USD (USDT)", "Size unit 3", options= )
sem3 = input.string("Margin (apply leverage)", "Size meaning 3", options= )
size3 = input.float(0.0, "Position size 3", step=0.0001)
baseLev3 = input.bool(false, "Apply leverage to 'Coin Quantity' (3)")
group4 = "Entry 4"
en4 = input.bool(false, "Enable Entry 4", inline=group4)
lev4 = input.int(10, "Leverage", minval=1, maxval=200, inline=group4)
entry4 = input.float(0.0, "Entry 4 price", step=0.0001)
set_now4 = input.bool(false, "⚡ Set Entry4 = Current Price")
mode4 = input.string("USD (USDT)", "Size unit 4", options= )
sem4 = input.string("Margin (apply leverage)", "Size meaning 4", options= )
size4 = input.float(0.0, "Position size 4", step=0.0001)
baseLev4 = input.bool(false, "Apply leverage to 'Coin Quantity' (4)")
// Quick set entries = current price
entry1 := (en1 and set_now1) ? close : entry1
entry2 := (en2 and set_now2) ? close : entry2
entry3 := (en3 and set_now3) ? close : entry3
entry4 := (en4 and set_now4) ? close : entry4
// ====== Helpers ======
to_size(s) =>
s == "tiny" ? size.tiny : s == "small" ? size.small : s == "normal" ? size.normal : s == "large" ? size.large : size.huge
f_usd_str(_val, _decimals) =>
na(_val) ? "—" : str.tostring(math.round(_val * math.pow(10, _decimals)) / math.pow(10, _decimals))
f_qty_base(mode, sem, size, entry, baseLev, lev) =>
float _qty = na
if mode == "USD (USDT)"
_qty := (size > 0 and entry > 0) ? ((sem == "Margin (apply leverage)" ? size * lev : size) / entry) : na
else
_qty := size > 0 ? (baseLev ? size * lev : size) : na
_qty
f_notional_quote(mode, sem, size, entry, lev, baseLev) =>
if mode == "USD (USDT)"
sem == "Margin (apply leverage)" ? size * lev : size
else
(baseLev ? size * lev : size) * entry
f_pnl_quote(side, entry, qty) =>
na(qty) or na(entry) ? na : (side=="Long" ? (close - entry) : (entry - close)) * qty
f_pct(side, entry) =>
na(entry) ? na : ((close - entry) / entry * 100.0) * (side=="Long" ? 1 : -1)
f_roi_pct(side, entry, lev) =>
na(entry) ? na : f_pct(side, entry) * lev
// NOTE: _lineIn must be a line, not a float
f_stickyHLine(_price, _lineIn, _color, _width) =>
var line _out = na
_out := _lineIn
if na(_out)
_out := line.new(bar_index-1, _price, bar_index+1, _price, xloc=xloc.bar_index, extend=extend.both, width=_width, style=line.style_dashed, color=_color)
else
line.set_xy1(_out, bar_index-1, _price)
line.set_xy2(_out, bar_index+1, _price)
line.set_color(_out, _color)
line.set_width(_out, _width)
_out
// ====== 4 Entries Calculations ======
var color entryCols = array.from(color.new(color.yellow, 0), color.new(color.orange, 0), color.new(color.teal, 0), color.new(color.fuchsia, 0))
bool ens = array.from(en1, en2, en3, en4)
float entries = array.from(entry1, entry2, entry3, entry4)
int levs = array.from(lev1, lev2, lev3, lev4)
string modes = array.from(mode1, mode2, mode3, mode4)
string sems = array.from(sem1, sem2, sem3, sem4)
float sizes = array.from(size1, size2, size3, size4)
bool baseLevs = array.from(baseLev1, baseLev2, baseLev3, baseLev4)
float qtys = array.new_float(4, na)
float pnls = array.new_float(4, na)
float pcts = array.new_float(4, na)
float rois = array.new_float(4, na)
float notionals = array.new_float(4, na)
for i = 0 to 3
if array.get(ens, i) and array.get(entries, i) > 0
ent = array.get(entries, i)
levX = array.get(levs, i)
modeX= array.get(modes, i)
semX = array.get(sems, i)
sizeX= array.get(sizes, i)
bLev = array.get(baseLevs, i)
qty = f_qty_base(modeX, semX, sizeX, ent, bLev, levX)
array.set(qtys, i, qty)
pnlq = f_pnl_quote(side, ent, qty)
array.set(pnls, i, pnlq)
pct = f_pct(side, ent)
array.set(pcts, i, pct)
roi = f_roi_pct(side, ent, levX)
array.set(rois, i, roi)
notq = f_notional_quote(modeX, semX, sizeX, ent, levX, bLev)
array.set(notionals, i, notq)
// ====== Totals & Weighted Avg Entry ======
float totalPnlUSD = 0.0
float totalNotional = 0.0
float totalQty = 0.0
float wAvgEntry = na
for i = 0 to 3
if not na(array.get(pnls, i))
totalPnlUSD += array.get(pnls, i)
if not na(array.get(notionals, i))
totalNotional += array.get(notionals, i)
if not na(array.get(qtys, i)) and array.get(entries, i) > 0
totalQty += array.get(qtys, i)
if totalQty > 0
num = 0.0
for i = 0 to 3
qi = array.get(qtys, i)
ei = array.get(entries, i)
if not na(qi) and ei > 0
num += qi * ei
wAvgEntry := num / totalQty
totalROIweighted = totalNotional > 0 ? (totalPnlUSD / totalNotional) * 100.0 : na
// ====== Nearest TP & R:R ======
float nearestTP = na
float nearestDistPrice = na
float nearestDistPct = na
float risk_pct = na
float reward_pct = na
float rr = na
var float tps = array.new_float()
array.clear(tps)
if use_tp1 and tp1 > 0
array.push(tps, tp1)
if use_tp2 and tp2 > 0
array.push(tps, tp2)
if use_tp3 and tp3 > 0
array.push(tps, tp3)
if use_tp4 and tp4 > 0
array.push(tps, tp4)
if use_tp5 and tp5 > 0
array.push(tps, tp5)
// nearest target in the trade direction (from current price)
if array.size(tps) > 0
for i = 0 to array.size(tps) - 1
_tp = array.get(tps, i)
cond = side=="Long" ? (_tp > close) : (_tp < close)
if cond
distP = math.abs(_tp - close)
if na(nearestDistPrice) or distP < nearestDistPrice
nearestDistPrice := distP
nearestTP := _tp
if not na(nearestDistPrice) and close != 0
nearestDistPct := (nearestDistPrice / close) * 100.0
float stop = stop_inp > 0 ? stop_inp : na
if not na(wAvgEntry) and not na(stop)
rawRisk = (side=="Long" ? (stop - wAvgEntry) : (wAvgEntry - stop)) / wAvgEntry * 100.0
risk_pct := math.abs(rawRisk)
if not na(wAvgEntry) and not na(nearestTP)
reward_pct := math.abs((side=="Long" ? (nearestTP - wAvgEntry) : (wAvgEntry - nearestTP)) / wAvgEntry * 100.0)
rr := (not na(risk_pct) and not na(reward_pct) and risk_pct != 0) ? reward_pct / risk_pct : na
// ====== Average R:R across all valid targets ======
float rr_avg = na
if not na(wAvgEntry) and not na(stop) and array.size(tps) > 0 and not na(risk_pct) and risk_pct != 0
float sum_rr = 0.0
int cnt_rr = 0
for i = 0 to array.size(tps) - 1
_tp = array.get(tps, i)
bool validDir = side=="Long" ? (_tp > wAvgEntry) : (_tp < wAvgEntry)
if validDir
_reward = math.abs((side=="Long" ? (_tp - wAvgEntry) : (wAvgEntry - _tp)) / wAvgEntry * 100.0)
_rr = _reward / risk_pct
sum_rr += _rr
cnt_rr += 1
rr_avg := cnt_rr > 0 ? (sum_rr / cnt_rr) : na
// ====== Entry/SL/TP Lines ======
var line entryLines = array.new_line(4, na)
for i = 0 to 3
ln = array.get(entryLines, i)
if array.get(ens, i) and array.get(entries, i) > 0
col = array.get(entryCols, i)
ent = array.get(entries, i)
ln := f_stickyHLine(ent, ln, col, 2)
array.set(entryLines, i, ln)
else
if not na(ln)
line.delete(ln)
array.set(entryLines, i, na)
var line slLine = na
if not na(stop)
slLine := f_stickyHLine(stop, slLine, color.new(color.red, 0), 1)
else
if not na(slLine)
line.delete(slLine)
slLine := na
var line tpLine1 = na
var line tpLine2 = na
var line tpLine3 = na
var line tpLine4 = na
var line tpLine5 = na
if use_tp1 and tp1 > 0
tpLine1 := f_stickyHLine(tp1, tpLine1, color.new(color.teal, 0), 1)
else
if not na(tpLine1)
line.delete(tpLine1)
tpLine1 := na
if use_tp2 and tp2 > 0
tpLine2 := f_stickyHLine(tp2, tpLine2, color.new(color.teal, 0), 1)
else
if not na(tpLine2)
line.delete(tpLine2)
tpLine2 := na
if use_tp3 and tp3 > 0
tpLine3 := f_stickyHLine(tp3, tpLine3, color.new(color.teal, 0), 1)
else
if not na(tpLine3)
line.delete(tpLine3)
tpLine3 := na
if use_tp4 and tp4 > 0
tpLine4 := f_stickyHLine(tp4, tpLine4, color.new(color.teal, 0), 1)
else
if not na(tpLine4)
line.delete(tpLine4)
tpLine4 := na
if use_tp5 and tp5 > 0
tpLine5 := f_stickyHLine(tp5, tpLine5, color.new(color.teal, 0), 1)
else
if not na(tpLine5)
line.delete(tpLine5)
tpLine5 := na
// ====== Build HUD Text ======
string txt = ""
// Per-entry rows
for i = 0 to 3
if array.get(ens, i) and array.get(entries, i) > 0
idx = i + 1
ent = array.get(entries, i)
pct = array.get(pcts, i)
pnlq = array.get(pnls, i)
roi = array.get(rois, i)
levX = array.get(levs, i)
txt += (txt=="" ? "" : " ") + "📌 Entry " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick)
txt += " 📊 Live: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp))
txt += " 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%")
// Summary or test HUD
if txt != ""
if totalQty > 0
txt += " — — —"
txt += " ⚖️ Weighted Avg Entry: " + str.tostring(wAvgEntry, format.mintick)
if not na(stop)
txt += " ❌ SL: " + str.tostring(stop, format.mintick)
// Nearest target (from current price)
string tpInfo = "—"
if not na(nearestTP)
tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)")
txt += " 🎯 Nearest: " + tpInfo
// R:R (nearest)
if not na(rr)
txt += " 📐 R:R (nearest): " + str.tostring(rr, format.mintick)
// Avg R:R across all valid TPs (by direction from weighted entry)
if not na(rr_avg)
txt += " 📐 Avg R:R (all valid TPs): " + str.tostring(rr_avg, format.mintick)
// Totals
txt += " 🧾 Total P/L: " + "$" + f_usd_str(totalPnlUSD, usd_dp)
txt += " 🧮 Weighted ROI (by Notional): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%")
else if force_show_hud
txt := "🧪 HUD is active. Fill Entry prices or tick ⚡. Enable TP/SL to see lines."
// ====== HUD Placement (near live price) ======
var label hud = na
atr_val = nz(ta.atr(atr_len), 0.0)
anchor_price = close
y_pos = na(anchor_price) ? na : anchor_price + (atr_val * hud_off_atr)
x_pos_base = bar_index
off = hud_side == "Right of price" ? hud_off_bars : -hud_off_bars
x_pos = lock_to_last_bar ? (barstate.islast ? (x_pos_base + off) : x_pos_base) : (x_pos_base + off)
// Pick label style by side:
// - Right of price → pointer on LEFT edge → style_label_left
// - Left of price → pointer on RIGHT edge → style_label_right
label_style = hud_side == "Right of price" ? label.style_label_left : label.style_label_right
if not na(y_pos) and txt != ""
if na(hud)
hud := label.new(x_pos, y_pos, txt, xloc=xloc.bar_index, style=label_style, textcolor=hud_txtc, color=hud_bg, size=to_size(hud_font))
else
label.set_x(hud, x_pos)
label.set_y(hud, y_pos)
label.set_text(hud, txt)
label.set_textcolor(hud, hud_txtc)
label.set_color(hud, hud_bg)
label.set_style(hud, label_style)
label.set_size(hud, to_size(hud_font))
else
if not na(hud)
label.delete(hud)
hud := na
پنل سود/زیان + چند تارگت R:R//@version=6
indicator("پنل سود/زیان + چند تارگت (۴ ورود مستقل) - پنل چپ نزدیک قیمت + میانگین R:R", overlay=true, max_lines_count=500, max_labels_count=500)
// ====== تنظیمات عمومی ======
side = input.string("لانگ", "نوع پوزیشن", options= )
usd_dp = input.int(2, "تعداد اعشار نمایش دلار", minval=0, maxval=6)
// ====== تنظیمات پنل ======
hud_font = input.string("large", "اندازۀ فونت پنل", options= )
hud_bg = input.color(color.new(color.black, 0), "رنگ پسزمینه پنل")
hud_txtc = input.color(color.white, "رنگ متن پنل")
// محل پنل: کمی «چپِ» آخرین کندل + کمی فاصله عمودی از قیمت
hud_off_bars = input.int(3, "فاصلۀ افقی از قیمت به سمت چپ (تعداد کندل، فقط روی آخرین کندل)", minval=0, maxval=50)
hud_off_atr = input.float(0.2, "فاصلۀ عمودی از قیمت (ATR)", step=0.1)
atr_len = input.int(14, "طول ATR برای فاصله عمودی", minval=1)
// نمایش اجباری پنل حتی بدون ورود
force_show_hud = input.bool(true, "🔍 نمایش اجباری پنل حتی بدون ورود")
// ====== حد ضرر و تارگتهای مشترک ======
stop_inp = input.float(0.0, "حد ضرر (مشترک، اختیاری)", step=0.0001)
use_tp1 = input.bool(false, "فعالسازی تارگت ۱")
tp1 = input.float(0.0, "قیمت تارگت ۱", step=0.0001)
use_tp2 = input.bool(false, "فعالسازی تارگت ۲")
tp2 = input.float(0.0, "قیمت تارگت ۲", step=0.0001)
use_tp3 = input.bool(false, "فعالسازی تارگت ۳")
tp3 = input.float(0.0, "قیمت تارگت ۳", step=0.0001)
use_tp4 = input.bool(false, "فعالسازی تارگت ۴")
tp4 = input.float(0.0, "قیمت تارگت ۴", step=0.0001)
use_tp5 = input.bool(false, "فعالسازی تارگت ۵")
tp5 = input.float(0.0, "قیمت تارگت ۵", step=0.0001)
// ====== ورودیهای ۴ ورود مستقل ======
group1 = "ورود ۱"
en1 = input.bool(true, "فعالسازی ورود ۱", inline=group1)
lev1 = input.int(10, "لوریج", minval=1, maxval=200, inline=group1)
entry1 = input.float(0.0, "قیمت ورود ۱", step=0.0001)
set_now1 = input.bool(false, "⚡ ثبت ورود۱ = قیمت فعلی")
mode1 = input.string("دلاری (USDT)", "واحد اندازه ۱", options= )
sem1 = input.string("مارجین (اعمال لوریج)", "تعبیر اندازه ۱", options= )
size1 = input.float(0.0, "اندازه پوزیشن ۱", step=0.0001)
baseLev1 = input.bool(false, "اعمال لوریج روی حالت «تعداد کوین» (۱)")
group2 = "ورود ۲"
en2 = input.bool(false, "فعالسازی ورود ۲", inline=group2)
lev2 = input.int(10, "لوریج", minval=1, maxval=200, inline=group2)
entry2 = input.float(0.0, "قیمت ورود ۲", step=0.0001)
set_now2 = input.bool(false, "⚡ ثبت ورود۲ = قیمت فعلی")
mode2 = input.string("دلاری (USDT)", "واحد اندازه ۲", options= )
sem2 = input.string("مارجین (اعمال لوریج)", "تعبیر اندازه ۲", options= )
size2 = input.float(0.0, "اندازه پوزیشن ۲", step=0.0001)
baseLev2 = input.bool(false, "اعمال لوریج روی حالت «تعداد کوین» (۲)")
group3 = "ورود ۳"
en3 = input.bool(false, "فعالسازی ورود ۳", inline=group3)
lev3 = input.int(10, "لوریج", minval=1, maxval=200, inline=group3)
entry3 = input.float(0.0, "قیمت ورود ۳", step=0.0001)
set_now3 = input.bool(false, "⚡ ثبت ورود۳ = قیمت فعلی")
mode3 = input.string("دلاری (USDT)", "واحد اندازه ۳", options= )
sem3 = input.string("مارجین (اعمال لوریج)", "تعبیر اندازه ۳", options= )
size3 = input.float(0.0, "اندازه پوزیشن ۳", step=0.0001)
baseLev3 = input.bool(false, "اعمال لوریج روی حالت «تعداد کوین» (۳)")
group4 = "ورود ۴"
en4 = input.bool(false, "فعالسازی ورود ۴", inline=group4)
lev4 = input.int(10, "لوریج", minval=1, maxval=200, inline=group4)
entry4 = input.float(0.0, "قیمت ورود ۴", step=0.0001)
set_now4 = input.bool(false, "⚡ ثبت ورود۴ = قیمت فعلی")
mode4 = input.string("دلاری (USDT)", "واحد اندازه ۴", options= )
sem4 = input.string("مارجین (اعمال لوریج)", "تعبیر اندازه ۴", options= )
size4 = input.float(0.0, "اندازه پوزیشن ۴", step=0.0001)
baseLev4 = input.bool(false, "اعمال لوریج روی حالت «تعداد کوین» (۴)")
// ثبت سریع ورود = قیمت فعلی
entry1 := (en1 and set_now1) ? close : entry1
entry2 := (en2 and set_now2) ? close : entry2
entry3 := (en3 and set_now3) ? close : entry3
entry4 := (en4 and set_now4) ? close : entry4
// ====== کمکتابعها ======
to_size(s) =>
s == "tiny" ? size.tiny : s == "small" ? size.small : s == "normal" ? size.normal : s == "large" ? size.large : size.huge
f_usd_str(_val, _decimals) =>
na(_val) ? "—" : str.tostring(math.round(_val * math.pow(10, _decimals)) / math.pow(10, _decimals))
f_qty_base(mode, sem, size, entry, baseLev, lev) =>
float _qty = na
if mode == "دلاری (USDT)"
_qty := (size > 0 and entry > 0) ? ((sem == "مارجین (اعمال لوریج)" ? size * lev : size) / entry) : na
else
_qty := size > 0 ? (baseLev ? size * lev : size) : na
_qty
f_notional_quote(mode, sem, size, entry, lev, baseLev) =>
if mode == "دلاری (USDT)"
sem == "مارجین (اعمال لوریج)" ? size * lev : size
else
(baseLev ? size * lev : size) * entry
f_pnl_quote(side, entry, qty) =>
na(qty) or na(entry) ? na : (side=="لانگ" ? (close - entry) : (entry - close)) * qty
f_pct(side, entry) =>
na(entry) ? na : ((close - entry) / entry * 100.0) * (side=="لانگ" ? 1 : -1)
f_roi_pct(side, entry, lev) =>
na(entry) ? na : f_pct(side, entry) * lev
f_stickyHLine(_price, _lineIn, _color, _width) =>
var line _out = na
_out := _lineIn
if na(_out)
_out := line.new(bar_index-1, _price, bar_index+1, _price, xloc=xloc.bar_index, extend=extend.both, width=_width, style=line.style_dashed, color=_color)
else
line.set_xy1(_out, bar_index-1, _price)
line.set_xy2(_out, bar_index+1, _price)
line.set_color(_out, _color)
line.set_width(_out, _width)
_out
// ====== محاسبات ۴ ورود ======
var color entryCols = array.from(color.new(color.yellow, 0), color.new(color.orange, 0), color.new(color.teal, 0), color.new(color.fuchsia, 0))
bool ens = array.from(en1, en2, en3, en4)
float entries = array.from(entry1, entry2, entry3, entry4)
int levs = array.from(lev1, lev2, lev3, lev4)
string modes = array.from(mode1, mode2, mode3, mode4)
string sems = array.from(sem1, sem2, sem3, sem4)
float sizes = array.from(size1, size2, size3, size4)
bool baseLevs = array.from(baseLev1, baseLev2, baseLev3, baseLev4)
float qtys = array.new_float(4, na)
float pnls = array.new_float(4, na)
float pcts = array.new_float(4, na)
float rois = array.new_float(4, na)
float notionals = array.new_float(4, na)
for i = 0 to 3
if array.get(ens, i) and array.get(entries, i) > 0
ent = array.get(entries, i)
levX = array.get(levs, i)
modeX= array.get(modes, i)
semX = array.get(sems, i)
sizeX= array.get(sizes, i)
bLev = array.get(baseLevs, i)
qty = f_qty_base(modeX, semX, sizeX, ent, bLev, levX)
array.set(qtys, i, qty)
pnlq = f_pnl_quote(side, ent, qty)
array.set(pnls, i, pnlq)
pct = f_pct(side, ent)
array.set(pcts, i, pct)
roi = f_roi_pct(side, ent, levX)
array.set(rois, i, roi)
notq = f_notional_quote(modeX, semX, sizeX, ent, levX, bLev)
array.set(notionals, i, notq)
// ====== مجموع و میانگین ورود وزنی ======
float totalPnlUSD = 0.0
float totalNotional = 0.0
float totalQty = 0.0
float wAvgEntry = na
for i = 0 to 3
if not na(array.get(pnls, i))
totalPnlUSD += array.get(pnls, i)
if not na(array.get(notionals, i))
totalNotional += array.get(notionals, i)
if not na(array.get(qtys, i)) and array.get(entries, i) > 0
totalQty += array.get(qtys, i)
if totalQty > 0
num = 0.0
for i = 0 to 3
qi = array.get(qtys, i)
ei = array.get(entries, i)
if not na(qi) and ei > 0
num += qi * ei
wAvgEntry := num / totalQty
totalROIweighted = totalNotional > 0 ? (totalPnlUSD / totalNotional) * 100.0 : na
// ====== نزدیکترین تارگت و R:R ======
float nearestTP = na
float nearestDistPrice = na
float nearestDistPct = na
float risk_pct = na
float reward_pct = na
float rr = na
var float tps = array.new_float()
array.clear(tps)
if use_tp1 and tp1 > 0
array.push(tps, tp1)
if use_tp2 and tp2 > 0
array.push(tps, tp2)
if use_tp3 and tp3 > 0
array.push(tps, tp3)
if use_tp4 and tp4 > 0
array.push(tps, tp4)
if use_tp5 and tp5 > 0
array.push(tps, tp5)
// نزدیکترین تارگت همسو با جهت
if array.size(tps) > 0
for i = 0 to array.size(tps) - 1
_tp = array.get(tps, i)
cond = side=="لانگ" ? (_tp > close) : (_tp < close)
if cond
distP = math.abs(_tp - close)
if na(nearestDistPrice) or distP < nearestDistPrice
nearestDistPrice := distP
nearestTP := _tp
if not na(nearestDistPrice) and close != 0
nearestDistPct := (nearestDistPrice / close) * 100.0
float stop = stop_inp > 0 ? stop_inp : na
if not na(wAvgEntry) and not na(stop)
rawRisk = (side=="لانگ" ? (stop - wAvgEntry) : (wAvgEntry - stop)) / wAvgEntry * 100.0
risk_pct := math.abs(rawRisk)
if not na(wAvgEntry) and not na(nearestTP)
reward_pct := math.abs((side=="لانگ" ? (nearestTP - wAvgEntry) : (wAvgEntry - nearestTP)) / wAvgEntry * 100.0)
rr := (not na(risk_pct) and not na(reward_pct) and risk_pct != 0) ? reward_pct / risk_pct : na
// ====== «میانگین R:R» روی همه تارگتهای معتبر ======
float rr_avg = na
if not na(wAvgEntry) and not na(stop) and array.size(tps) > 0 and not na(risk_pct) and risk_pct != 0
float sum_rr = 0.0
int cnt_rr = 0
for i = 0 to array.size(tps) - 1
_tp = array.get(tps, i)
bool validDir = side=="لانگ" ? (_tp > wAvgEntry) : (_tp < wAvgEntry)
if validDir
_reward = math.abs((side=="لانگ" ? (_tp - wAvgEntry) : (wAvgEntry - _tp)) / wAvgEntry * 100.0)
_rr = _reward / risk_pct
sum_rr += _rr
cnt_rr += 1
rr_avg := cnt_rr > 0 ? (sum_rr / cnt_rr) : na
// ====== خطوط ورود/SL/TP ======
var line entryLines = array.new_line(4, na)
for i = 0 to 3
ln = array.get(entryLines, i)
if array.get(ens, i) and array.get(entries, i) > 0
col = array.get(entryCols, i)
ent = array.get(entries, i)
ln := f_stickyHLine(ent, ln, col, 2)
array.set(entryLines, i, ln)
else
if not na(ln)
line.delete(ln)
array.set(entryLines, i, na)
var line slLine = na
if not na(stop)
slLine := f_stickyHLine(stop, slLine, color.new(color.red, 0), 1)
else
if not na(slLine)
line.delete(slLine)
slLine := na
var line tpLine1 = na
var line tpLine2 = na
var line tpLine3 = na
var line tpLine4 = na
var line tpLine5 = na
if use_tp1 and tp1 > 0
tpLine1 := f_stickyHLine(tp1, tpLine1, color.new(color.teal, 0), 1)
else
if not na(tpLine1)
line.delete(tpLine1)
tpLine1 := na
if use_tp2 and tp2 > 0
tpLine2 := f_stickyHLine(tp2, tpLine2, color.new(color.teal, 0), 1)
else
if not na(tpLine2)
line.delete(tpLine2)
tpLine2 := na
if use_tp3 and tp3 > 0
tpLine3 := f_stickyHLine(tp3, tpLine3, color.new(color.teal, 0), 1)
else
if not na(tpLine3)
line.delete(tpLine3)
tpLine3 := na
if use_tp4 and tp4 > 0
tpLine4 := f_stickyHLine(tp4, tpLine4, color.new(color.teal, 0), 1)
else
if not na(tpLine4)
line.delete(tpLine4)
tpLine4 := na
if use_tp5 and tp5 > 0
tpLine5 := f_stickyHLine(tp5, tpLine5, color.new(color.teal, 0), 1)
else
if not na(tpLine5)
line.delete(tpLine5)
tpLine5 := na
// ====== ساخت متن پنل ======
string txt = ""
// ردیفهای هر ورود
for i = 0 to 3
if array.get(ens, i) and array.get(entries, i) > 0
idx = i + 1
ent = array.get(entries, i)
pct = array.get(pcts, i)
pnlq = array.get(pnls, i)
roi = array.get(rois, i)
levX = array.get(levs, i)
txt += (txt=="" ? "" : " ") + "📌 ورود " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick)
txt += " 📊 لحظهای: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp))
txt += " 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%")
// خلاصه پایانی یا پنل تست
if txt != ""
if totalQty > 0
txt += " — — —"
txt += " ⚖️ میانگین ورود وزنی: " + str.tostring(wAvgEntry, format.mintick)
if not na(stop)
txt += " ❌ SL: " + str.tostring(stop, format.mintick)
// نزدیکترین تارگت
string tpInfo = "—"
if not na(nearestTP)
tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)")
txt += " 🎯 نزدیکترین: " + tpInfo
// R:R نزدیکترین
if not na(rr)
txt += " 📐 R:R نزدیکترین: " + str.tostring(rr, format.mintick)
// میانگین R:R روی همه تارگتهای معتبر
if not na(rr_avg)
txt += " 📐 میانگین R:R (همۀ تارگتهای معتبر): " + str.tostring(rr_avg, format.mintick)
// مجموعها
txt += " 🧾 مجموع سود/زیان: " + "$" + f_usd_str(totalPnlUSD, usd_dp)
txt += " 🧮 ROĪ وزنی (بر اساس ناتیونال): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%")
else if force_show_hud
txt := "🧪 پنل فعال است. از فیلدهای «قیمت ورود» استفاده کن یا تیکهای ⚡ را بزن. برای دیدن TP/SL خطوط، تیکهای مربوطه را فعال کن."
// ====== HUD (پنل سمت چپ، نوک اشاره نزدیک قیمت لحظهای) ======
// ====== HUD (پنل سمت راست، نوک اشاره نزدیک قیمت لحظهای) ======
var label hud = na
atr_val = ta.atr(atr_len)
// لنگر عمودی روی قیمت لحظهای با کمی فاصله عمودی
anchor_price = close
y_pos = na(anchor_price) ? na : anchor_price + (atr_val * hud_off_atr)
// فقط روی آخرین کندل، چند بار به «راست» میبریم تا نوک پنل نزدیک کندل باشد
x_pos_base = bar_index
x_pos = barstate.islast ? (x_pos_base + hud_off_bars) : x_pos_base
if not na(y_pos) and txt != ""
if na(hud)
// ⚠️ style_label_left = نوک پنل سمت چپ است ⇒ متن به راست باز میشود ⇒ کل پنل در «راستِ» قیمت قرار میگیرد
hud := label.new(x_pos, y_pos, txt,xloc=xloc.bar_index,style=label.style_label_left, textcolor=hud_txtc, color=hud_bg, size=to_size(hud_font))
else
label.set_x(hud, x_pos)
label.set_y(hud, y_pos)
label.set_text(hud, txt)
label.set_textcolor(hud, hud_txtc)
label.set_color(hud, hud_bg)
label.set_style(hud, label.style_label_left)
label.set_size(hud, to_size(hud_font))
else
if not na(hud)
label.delete(hud)
hud := na
Supertrend Trend Change Signals + Covered Points Only (v5)[NR]Supertrend with Buy/Sell Signals + Covered Points (v5)
Description
This indicator is a custom version of the Supertrend that provides:
Buy/Sell signals whenever the trend flips (Up → Buy, Down → Sell).
Covered points label at the end of each trend, showing the total price movement captured from entry to exit.
Optional colored candles based on trend direction.
Visual markers (triangle up/down) for quick identification of flips.
Built-in alert conditions for Buy and Sell flips.
Use case:
Designed for traders who want not only entry/exit alerts but also a quick view of how many points the previous run covered. Especially useful for index futures (e.g., NIFTY, BankNIFTY) or instruments where point movement matters.
⚠ Note: This is a study/indicator, not a strategy. It does not auto-trade and should be combined with your own analysis and risk management.
QuickScalp ProQuickScalp Pro – Scalping with Precision
QuickScalp Pro is designed for intraday traders who want fast, accurate scalping signals with very small stop-loss levels.
It combines Supertrend, VWMA zones, Kalman smoothing, and reversal detection to filter out noise and highlight only high-probability entries.
✅ Optimized for Nifty & BankNifty options (5-min chart recommended)
✅ Small SL + Quick Targets (50–100 points possible)
✅ No repainting when “Confirm on Close” is enabled
✅ Clean chart with minimal clutter – only clear Buy/Sell/TP/Reversal labels
✅ Alerts supported for Buy, Sell, Reversals, and Take Profit hits
This tool is best suited for scalpers and option traders who want quick entries, fast exits, and controlled risk.
Exhaustion Reversal# 📘 Exhaustion Reversal – Quick Start Guide
This tool highlights **reversal zones** where price is stretched too far and likely to snap back.
---
## 1. What to Look For
* **Green Box + Neon BUY Arrow** → Possible Buy Setup
* **Red Box + Neon SELL Arrow** → Possible Sell Setup
* Background color:
* Light **green tint** = Bias is LONG (favor buy setups)
* Light **red tint** = Bias is SHORT (favor sell setups)
---
## 2. How to Take a Trade
**BUY Setup**
1. Wait until you see a **green shaded box** and a **neon BUY arrow**.
2. Confirm the candle closed **green** (bullish).
3. **Entry (EP):** Enter at the closing price of the signal candle (labeled “BUY ENTRY”).
4. **Stop Loss (SL):** Set just under the low of the signal candle (labeled “SL”).
5. **Take Profit (TP):**
* Safer target → the blue **Center Line**.
* Aggressive target → **Band 1**.
**SELL Setup**
1. Wait until you see a **red shaded box** and a **neon SELL arrow**.
2. Confirm the candle closed **red** (bearish).
3. **Entry (EP):** Enter at the closing price of the signal candle (labeled “SELL ENTRY”).
4. **Stop Loss (SL):** Set just above the high of the signal candle (labeled “SL”).
5. **Take Profit (TP):**
* Safer target → the blue **Center Line**.
* Aggressive target → **Band 1**.
---
## 3. Quick Rules to Remember
* ✅ Trade WITH the background bias.
* Green background → focus on BUY setups.
* Red background → focus on SELL setups.
* ❌ Skip weak candles. Look for **strong bodies** (bigger candles).
* ❌ Don’t take every arrow. Wait until price stretched to the **outer Band 2**.
* ✅ Manage risk. Never risk more than **1–2% of your account** on a single trade.
---
## 4. Beginner Flow (step-by-step)
1. Watch for **background tint** (green = buy, red = sell).
2. Wait for price to **touch/pierce Band 2**.
3. Watch for a **reversal candle** (green after red, or red after green).
4. Enter at the “ENTRY” label, place SL and TP at the lines.
5. Let the trade play out – don’t move stops unless you scale out.
---
## 5. Example Trade
* NAS100 on 5m chart:
* Background turns red → bias is SHORT.
* Price spikes above **Upper Band 2**.
* Red reversal candle closes.
* Arrow + label appear → Enter SELL.
* SL at candle high, TP at Center Line.
---
💡 **Pro Tip for New Traders:**
Start by practicing this system in a demo account. Focus on spotting the *cleanest* setups where price clearly stretches to Band 2 and gives a strong reversal candle.
ORB - 15 Minute Opening RangeThe Opening Range Breakout (ORB) strategy focuses on price movements that occur shortly after the market opens. Traders define a price range—usually based on the first 5, 15, or 30 minutes—and then look for a breakout above or below that range.
Vietnamese: Swing Low Detection with SMA Bands & BackgroundThis script detects **swing lows** using a dynamic SMA-based logic and visually highlights them on the chart.
Features
Customizable Moving Averages: Supports multiple MA types (SMA, EMA, WMA, RMA, HMA, DEMA, TEMA, VWMA).
Swing Low Visualization: Identifies swing lows when price closes below the SMA of lows and exits once price trades above the SMA of highs.
Smart Rectangles: Marks detected swing lows with labeled boxes for clear visual reference.
Background Highlights**: Dynamically shades the chart background when price breaks below recent swing lows, helping traders spot potential breakdown zones.
Configurable Parameters: Period length, rectangle length, and MA source can all be tuned.
Use Cases
Spot breakdown/bearish continuation signals when price closes under recent lows.
Combine with higher timeframe trend analysis for confluence.
Notes
* This tool is designed for **visual analysis** and is not a standalone buy/sell signal.
* Works best when combined with broader trend analysis, support/resistance levels, and volume.
Estrategia REGLA DE OROit is an indicator that allows you to design the nearest support and resistance + buy and sell alert.
Crypto Breakout Buy/Sell Sequence
⚙️ Components & Sequence Multiple Timeframe (What It Does)
1. Bollinger Bands – Form the foundation by measuring volatility and creating the dynamic range where squeezes and breakouts occur.
2. Squeeze Dots – Show when price compresses inside the bands, signaling reduced volatility before expansion.
3. Breakout Event (Brk Dot) – Fires when price expands beyond the squeeze zone, confirming volatility expansion. (This paints Intra, before candle close)
4. Buy Signal – Confirms entry after a breakout is validated. (This paints at candle close)
5. Pump Signal – Flags sudden surges that extend sharply from the bands, often linked to strong inflows.
6. Momentum Stream – Tracks the strength of movement following the breakout, from continuation (🟢) to slowing (🟡) to exhaustion (🔴). (Resets at Pump Signal)
7. Overbought Indicator – Confirms when momentum has reached overheated conditions, often aligning with band extremes.
8. Sell Signal – Prints when exhaustion/reversal conditions are met, closing the trade cycle.
The Crypto Breakout Buy/Sell Sequence is a no-repaint event indicator that maps a full trade cycle using Bollinger-band-based volatility states: Bollinger Bands → Squeeze → Breakout → Buy → Pump → Momentum → Top Test → Overbought → Sell. Each stage is rule-based and designed to be read on standard candlesticks.
How It Works (System Logic)
Volatility framework: Bollinger Bands define dynamic range and compression/expansion.
Initiation: Squeeze → Breakout confirms expansion; Buy validates participation after expansion begins.
Management: Pump highlights unusual acceleration; Momentum stream tracks continuation → slowing → exhaustion.
Exhaustion/Exit: Top Testing + Overbought build the exhaustion case; Sell marks the sequence end.
How To Use (Quick Guide)
Wait for Squeeze → Breakout → Buy to establish a structured start.
Manage with Momentum:
🟢 continuation, 🟡 slowing, 🔴 exhaustion pressure.
Monitor extremes: Top Testing and/or Overbought = tighten risk.
Exit on Sell or on your risk rules when exhaustion builds.
Limitations & Good Practice
Signals reflect price/volatility behavior, not certainty.
Strong trends can remain extended; Overbought/Top Test ≠ instant reversal.
Always confirm with your own risk rules, position sizing, and market context.
Initial public release: integrated Squeeze/Breakout/Buy → Momentum → Exhaustion → Sell cycle; improved label clarity; cleaned defaults.
Disclaimer
For educational purposes only. Not financial advice. Past performance does not guarantee future results. Test before live use.
Thank You
