RocketScalperEntry follows the first normal candle after the highlights - use in conjunction with basic patterns, SFPs, and the until1mil indicators (SSO/MACD/MI/BZ)
Pesquisar nos scripts por "entry"
[MV] %B with SMA + Volume Based Colored Bars
Entry Signal when %B Crosses with SMA and this is more meaningful if it supports colored bars.
Black Bar when prices go down and volume is bigger than 150% of its average, that indicates us price action is supported by a strong bearish volume
Blue Bar when prices go up and volume bigger than 150% of its average, that indicates us price action is supported by a strong bullish volume
VBC author @KIVANCfr3762
FX Sniper: T3-CCI Strategy - With 100 IndicatorsEntry signal when moving above -100, sell signal when going below 100
Amazing Crossover SystemEntry Rules
BUY when the 5 EMA crosses above the 10 EMA from underneath and the RSI crosses above the 50.0 mark from the bottom.
SELL when the 5 EMA crosses below the 10 EMA from the top and the RSI crosses below the 50.0 mark from the top.
Make sure that the RSI did cross 50.0 from the top or bottom and not just ranging tightly around the level.
How to setup Alert:
1) Add the Amazing Crossover System to your chart via Indicators
2) Find your currency pair
3) Set the timeframe on the chart to 1 hour
4) Press 'Alt + A' (create alert shortcut)
5) Set the following criteria for the alert:
Condition = 'Amazing Crossover System', Plot, ' BUY Signal'
The rest of the alert can be customized to your preferences
5) Repeat steps 1 - 4, but set the Condition = 'Amazing Crossover System', Plot, ' SELL Signal'
Prophet Model [TakingProphets]OVERVIEW
The Prophet Model is a structured, logic-driven indicator designed for traders who follow ICT (Inner Circle Trader) methodologies. It integrates multiple ICT concepts into a single, cohesive framework, giving traders a clear visual representation of institutional price delivery while minimizing chart clutter.
This tool does not provide buy/sell signals — instead, it enhances your workflow by automating the identification of key ICT-based criteria used to confirm high-probability trade setups.
WHAT THE INDICATOR DOES
The Prophet Model consolidates several advanced ICT concepts into a streamlined, real-time decision-support system:
Higher Timeframe PD Array Identification
-Automatically scans higher timeframes to locate unmitigated Fair Value Gaps (FVGs) and plots them on your lower timeframe charts, helping traders align with institutional price delivery.
Candle Range Theory (CRT) Validation
-Monitors higher timeframe candles to confirm directional bias using ICT’s Candle Range Theory, providing insight into delivery shifts without needing to change timeframes.
Liquidity Sweep Detection
-Identifies where price has taken buy-side or sell-side liquidity and highlights these zones visually to help traders anticipate potential reversals or continuations.
Change in State of Delivery (CISD)
-Detects moments of significant displacement that indicate structural shifts in price delivery, marking key opportunities for entry confirmation.
Enhanced Entry Precision (EPE)
-Automatically refines entry points by detecting overlapping internal FVGs within the displacement candle structure, improving execution accuracy.
Dynamic Risk Management Levels
-Plots Stop Loss (SL), Break-Even (BE), and Take Profit (TP) levels based on real structural movements — not fixed pip distances — giving traders clarity on risk exposure.
Real-Time Setup Checklist
-A built-in checklist confirms when all ICT-based confluence factors (HTF PDAs, CRT validation, liquidity sweep, CISD) align, helping traders maintain discipline.
HOW IT WORKS
Scan Higher Timeframes
-The indicator automatically identifies and marks institutional areas of interest like FVGs and PD Arrays from higher timeframes.
Confirm Market Bias
-Uses CRT analysis to validate directional conviction based on higher timeframe candle behavior.
Track Liquidity & Displacement
-Highlights liquidity sweeps and displacement candles, providing insight into when price is likely to expand, reverse, or redistribute.
Refine Entry Points
-Adjusts potential entry levels dynamically when internal imbalances overlap within CISD structures.
Visual Risk Management
-Automatically calculates realistic TP/SL levels based on the actual range of price delivery.
WHY ITS WORTH USING
Consolidates Multiple ICT Concepts
-Instead of relying on multiple scripts, the Prophet Model integrates FVGs, CRT, liquidity sweeps, and CISD detection into one cohesive tool.
Improves Efficiency
-Traders can analyze HTF and LTF confluence visually without switching charts or manually plotting levels.
Keeps Execution Disciplined
-The real-time checklist prevents overtrading by confirming only the setups that meet predefined ICT criteria.
Adaptable to Different Styles
-Whether you’re scalping, day trading, or swing trading, the model adapts to various timeframes and trading approaches.
IMPORTANT CONSIDERATIONS
This indicator is intended for traders with a working understanding of ICT methodology.
It does not generate standalone trading signals — users must incorporate narrative analysis and risk management.
Past performance of any ICT concept does not guarantee future results.
HTF Rejection Block [TakingProphets]Overview
The HTF Rejection Block indicator is designed to help traders identify and visualize Higher Timeframe Rejection Blocks—price zones where liquidity grabs often result in aggressive rejections. These areas can serve as high-probability decision points when combined with other ICT-based tools and concepts.
Unlike simple support/resistance markers, this indicator automates the detection of Rejection Blocks, maps them across up to four custom higher timeframes, and updates them in real time as price evolves. It provides traders with a structured framework for analyzing institutional price behavior without supplying direct buy/sell signals.
Concept & Background
The idea of Rejection Blocks was popularized by Powell, a respected educator within the ICT trading community. He highlighted how aggressive wicks—where price sweeps liquidity and sharply rejects—often reveal institutional activity and can hint at future directional bias.
This script builds upon that foundation by integrating several ICT-aligned concepts into a single, cohesive tool:
Liquidity Sweep Recognition → Identifies where price aggressively moves beyond a key level before snapping back.
Rejection Block Mapping → Highlights the candle bodies representing institutional rejection zones.
Multi-Timeframe Context → Lets you monitor rejection zones from higher timeframes while operating on your execution timeframe.
Equilibrium-Based Planning → Optional midpoint plotting offers a precise way to evaluate premium/discount within each block.
By combining these elements, the indicator makes it easier to see where liquidity events may influence price and how they relate to broader ICT-based setups.
How It Works
Detection Logic
A Rejection Block forms when price runs liquidity past a prior high/low but fails to hold and closes back inside the range.
These setups are detected automatically and marked as bullish or bearish zones.
Multi-Timeframe Analysis
Monitor up to four higher timeframes at once (e.g., 1H, 4H, 1D, 1W) while trading on your preferred execution timeframe.
Each block is clearly labeled and color-coded for visual clarity.
50% Equilibrium Levels
Optionally plot the midpoint of each rejection block, commonly used by ICT traders as a precision-based entry or target zone.
Auto-Mitigated Zones
When price fully trades through a rejection block, the zone is automatically removed to keep your chart clean.
Info Box for Context
An optional information panel displays the symbol, timeframe, and relevant data, helping you stay organized during active trading sessions.
Practical Usage
Select Higher Timeframes
Configure up to four HTFs based on your strategy (e.g., 1H, 4H, 1D, Weekly).
Identify Rejection Blocks
Watch for new blocks forming after liquidity sweeps beyond significant highs or lows.
Combine With Other ICT Concepts
Use alongside STDV, displacement, SMT divergence, or OTE retracements for confirmation and added confluence.
Plan Entry Zones
Leverage the 50% midpoint or body extremes of each block to build structured trade setups.
Why It’s Useful
This tool doesn’t generate trading signals or claim accuracy. Instead, it provides a visual framework for applying ICT’s Rejection Block methodology systematically across multiple timeframes.
Its value lies in helping traders:
Recognize where institutional activity may leave footprints.
Map key liquidity-based zones without manual marking.
Stay aligned with higher timeframe narratives while executing on lower timeframes.
VXN Net VolumeThis indicator is based on other open source scripts. It displays net volume (buying minus selling) approximated from lower timeframe data, helping traders gauge buying/selling pressure.
It uses the CBOE Nasdaq Volatility Index (VXN) to color the chart background: green for low volatility (bullish) when VXN's short-term EMA is below its long-term SMA, and red for high volatility (bearish) when above.
The net volume color is not filtered by the VXN Index trend direction (background color). It’s highly recommended to align with the VXN Index trend direction when using net volume to confirm your entry. A red net volume with a red background or a green net volume with a green background provides a high-probability setup.
A moving average of net volume is optionally plotted as a blue area to highlight significant volume levels.
Enjoy this indicator? Consider a donation to support development! buymeacoffee.com
Trend Following CryptoSmartTrend Following CryptoSmart is a hybrid trend-following system designed for traders who value visual precision, structured logic, and clean confirmations.
This indicator combines a hybrid main line (EMA + trailing stop behavior) with a parallel secondary line, both offset from price by customizable distance. The logic resets on MACD crossovers and behaves like a dynamic visual stop, never repainting against trend.
Features include:
Modular lines with professional-grade smoothing
Shadow between price and trend, with separate color and opacity for bullish and bearish conditions
Displaced Long/Short labels with customizable style
Visual markers over native candles, without replacing them
Ideal for Smart Money flows, visual entry systems, and multi-timeframe confirmations.
This script is optimized for clarity, accessibility, and full customization. Every parameter is adjustable from the settings panel, allowing traders to tailor both visual and logical behavior to their strategy.
OSOK [AMERICANA] x [TakingProphets]OVERVIEW
OSOK is an ICT-inspired execution framework designed to help traders map the interaction between Higher-Timeframe (HTF) liquidity sweeps, qualifying Order Blocks, and Current-Timeframe (CTF) confirmation signals — all within a single, structured workflow.
By sequencing an HTF CRT → Order Block → CTF CRT model and integrating IPDA 20 equilibrium context, this tool provides traders with a visual framework for aligning intraday execution decisions with higher-timeframe intent. All plotted elements — sweeps, blocks, open prices, and equilibrium levels — update continuously in real time.
Core Concepts (ICT-Based)
Candle Range Transition (CRT) Sweeps
Bullish CRT → The second candle runs below the first candle’s low and closes back inside its range.
Bearish CRT → The second candle runs above the first candle’s high and closes back inside its range.
These patterns are frequently associated with liquidity grabs and potential directional shifts.
HTF → CTF Alignment
-Detects valid HTF CRTs (e.g., Daily CRTs derived from H4 or Weekly CRTs derived from Daily).
-Locates a qualifying Order Block within HTF Candle-2 to identify areas of potential interest.
-Waits for a modified CRT confirmation on the current timeframe before signaling possible directional bias.
IPDA 20 Equilibrium
-Plots the midpoint of the daily highest and lowest prices over the last 20 periods.
-Provides a visual reference for premium and discount pricing zones.
How OSOK Works
Step 1 — HTF CRT Check
On each new HTF candle, the script scans for a clean CRT formation on the higher aggregation (e.g., H4 → D or D → W).
If found, it tags the candles as C1, C2, and C3 and optionally shades their backgrounds for clear visual parsing.
Step 2 — HTF Order Block Identification
Searches within HTF Candle-2 for a qualifying Order Block using a compact pattern filter.
Draws a persistent OB level with clear labeling for context.
Step 3 — CTF Confirmation (Modified CRT)
Monitors your current chart timeframe for a modified CRT in alignment with the HTF setup:
For bullish setups → waits for a bullish modified CRT and close above C1’s high zone.
For bearish setups → expects a bearish modified CRT and close below C1’s low zone.
Step 4 — Real-Time Maintenance
All labels, lines, and background spans update intrabar.
If the setup invalidates — for example, if implied targets are exceeded before entry — the layout resets and waits for the next valid sequence.
KEY FEATURES
HTF CRT Visualization
-Optional “×” markers on Daily/Weekly CRT sweeps.
-Independent background shading for C1, C2, and C3.
Order Block + Open Price Context
-Draws HTF Order Block levels and plots C3 Open Price (DOP) for additional directional reference.
CTF CRT Execution Cue
-Displays a modified CRT on your current timeframe when conditions align with the HTF narrative.
IPDA 20 Line + Label
-Plots a dynamic midpoint level with an optional label for quick premium/discount context.
Optimized Drawing Engine
-Lightweight, efficient use of chart objects ensures smooth performance without visual clutter.
INPUTS
-Higher Timeframe Settings
-Toggle markers for Daily/Weekly CRT sweeps.
-Enable and color C1, C2, and C3 background spans.
-IPDA Display Options
-Control visibility, color, and line style for IPDA 20 equilibrium levels.
-Sweep, OB, and Open Price Styles
-Per-element customization for colors, widths, and labels.
BEST PRACTICES
Start on H4 or Daily to identify valid HTF CRT formations.
Confirm a qualifying OB inside Candle-2.
Drop to your execution timeframe and wait for the modified CTF CRT confirmation before acting.
Use IPDA 20 equilibrium as a reference for premium vs. discount zones.
Combine with your ICT session bias and overall market context for optimal decision-making.
Important Notes
OSOK is not a buy/sell signal provider. It’s a visual framework for understanding ICT-based execution models.
All objects reset automatically when new HTF candles form or setups invalidate.
Works on any symbol and timeframe by default, with HTF mapping set to H4 → D and D → W.
SSMT [TakingProphets]OVERVIEW
SSMT (Sequential SMT) is an ICT-inspired divergence detection tool designed to help traders identify potential intermarket divergences using Quarterly Theory, a framework popularized within the ICT community by Trader Daye and FearingICT.
The indicator segments each trading day into structured time-based quarters and scans for Sequential SMT divergences across Daily, 90-minute, and Micro-session cycles — updating continuously in real time. This allows traders to visualize when institutional liquidity shifts are most likely, based on ICT’s time-of-day models.
Built on ICT’s Quarterly Theory
At the heart of SSMT is Quarterly Theory, a time-based framework used in ICT methodology. The model divides each trading day into four predictable phases, representing shifts between accumulation, manipulation, and distribution:
Daily Quarters (4 per day)
Q1: 18:00 – 00:00 ET
Q2: 00:00 – 06:00 ET
Q3: 06:00 – 12:00 ET
Q4: 12:00 – 18:00 ET
Additionally, the indicator refines timing with two further layers:
90-Minute Quarters → Splits Asia, London, New York AM, and New York PM into structured liquidity windows, helping intraday traders monitor session-specific SMTs.
Micro Quarters → Offers a granular breakdown of each session for scalpers who require precise entry timing.
By combining these cycles, SSMT provides a contextual framework for understanding when divergences may carry the highest institutional relevance.
How SSMT Detects SMT Divergences
Sequential SMT detection in SSMT works by comparing price behavior between your selected instrument and a correlated asset (default: CME_MINI:ES1!). It monitors current vs. previous highs and lows within the active quarter and identifies divergence patterns as they form:
Bullish SMT → Your instrument forms a higher low while the correlated asset does not.
Bearish SMT → Your instrument forms a lower high while the correlated asset does not.
Divergence lines and labels are plotted directly on your chart, and these drawings update dynamically in real time as new data comes in. Historical SMTs also persist beyond quarter boundaries for added confluence in your analysis.
Key Features
Three SMT Cycles in One Tool
-Daily Cycle → Track higher-timeframe divergences around key liquidity events.
-90-Minute Cycle → Ideal for timing intraday setups within major sessions.
-Micro Cycle → Provides highly detailed precision for scalpers trading engineered sweeps.
Per-Cycle Customization
-Toggle Daily, 90-Minute, and Micro SMT independently.
-Fully customize divergence line colors, styles, widths, and optional session boxes for clarity.
Smart Auto-Labeling
-Labels automatically display the correlated symbol (e.g., “SMT w/ES”).
-Divergence drawings persist historically for reference and context.
Instant Style Updates
-Any visual changes to colors, widths, or line styles are applied immediately across both active and historical SMT drawings.
Practical Use Cases
Scalpers → Spot Micro SMTs to refine entries with session-specific precision.
Intraday Traders → Track divergences across Asia, London, and New York sessions in real time.
Swing Traders → Combine Daily SMT divergences with HTF POIs for higher confluence.
ICT Traders → Built specifically around ICT teachings, this tool provides a clear, visual framework to apply Quarterly Theory and SMT models seamlessly.
Important Notes
SSMT is not a buy/sell signal generator. It is an analytical framework designed to help traders interpret ICT-based SMT concepts visually.
Always confirm divergences within your broader market narrative and risk management rules.
FibLevel Size CalculatorThis skript calculates position sizes and new take profits for sizing into an long or short position with 3 entrys defined at custom fibonacci retracement levels.
TP: -0,272
Entry1: 0.382
Entry2: 0.618
Entry3: 0.83
SL: 1.05
Expected RR per trade is 0.2 with a High Win rate definitly profitable.
Search for an established trend on the higher timeframe, drop to the smaller ones and look for correction waves. Once they break to the trenddirection of the higher timeframe take the fib from lowest to highes point. Draw a fib level on the chart and use the Indicator to define these Levels above. The calculator gives you the Margin to use in each position, and will check that you will not get liquidated an that you have enough margin. It tells you the new TP for Limit2 and Limit3 if they get hit so you can get out of the trade full TP with a small bounce.
Inputs:
Account Balance, Risk Percentage, and Leverage: These inputs are used to calculate the position size and risk.
Entry 1, Entry 2, Entry 3, Take Profit (TP), and Stop Loss (SL): These prices are used for calculating position sizes, risk, and profit for up to three entry points.
Calculations:
Risk Amount: Calculated based on the account balance and risk percentage.
Position Sizes (Qty): For each entry point, the position size is determined. The second and third entries have a multiplier (3x for Entry 2, 5x for Entry 3) compared to the first.
Stop Loss and Profit Calculation: The script calculates the potential profit and adjusts the TP levels based on the average entries for Limit 2 and Limit 3.
Margin Calculation: Margin requirements for each position are calculated based on leverage.
Output:
Table Display: A table shows key values like entry prices, position sizes, TP levels, potential profit, and margin requirements for each limit.
Warnings: It includes a liquidation warning and a check for whether the account is at risk of liquidation based on leverage.
Position Type: It automatically detects if the trade is a long or short based on the relationship between TP and SL.
Visualization:
Lines: It draws horizontal lines on the chart to visually represent the entry, TP, and SL levels.
Overall, this script is designed to help traders manage risk and calculate position sizes for multi-level entries using leverage.
Pls drop feedback in the comments.
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=="" ? "" : "\n") + "📌 Entry " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick)
txt += "\n 📊 Live: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp))
txt += "\n 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%")
// Summary or test HUD
if txt != ""
if totalQty > 0
txt += "\n— — —"
txt += "\n⚖️ Weighted Avg Entry: " + str.tostring(wAvgEntry, format.mintick)
if not na(stop)
txt += "\n❌ SL: " + str.tostring(stop, format.mintick)
// Nearest target (from current price)
string tpInfo = "—"
if not na(nearestTP)
tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)")
txt += "\n🎯 Nearest: " + tpInfo
// R:R (nearest)
if not na(rr)
txt += "\n📐 R:R (nearest): " + str.tostring(rr, format.mintick)
// Avg R:R across all valid TPs (by direction from weighted entry)
if not na(rr_avg)
txt += "\n📐 Avg R:R (all valid TPs): " + str.tostring(rr_avg, format.mintick)
// Totals
txt += "\n🧾 Total P/L: " + "$" + f_usd_str(totalPnlUSD, usd_dp)
txt += "\n🧮 Weighted ROI (by Notional): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%")
else if force_show_hud
txt := "🧪 HUD is active.\nFill Entry prices or tick ⚡.\nEnable 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=="" ? "" : "\n") + "📌 Entry " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick)
txt += "\n 📊 Live: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp))
txt += "\n 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%")
// Summary or test HUD
if txt != ""
if totalQty > 0
txt += "\n— — —"
txt += "\n⚖️ Weighted Avg Entry: " + str.tostring(wAvgEntry, format.mintick)
if not na(stop)
txt += "\n❌ SL: " + str.tostring(stop, format.mintick)
// Nearest target (from current price)
string tpInfo = "—"
if not na(nearestTP)
tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)")
txt += "\n🎯 Nearest: " + tpInfo
// R:R (nearest)
if not na(rr)
txt += "\n📐 R:R (nearest): " + str.tostring(rr, format.mintick)
// Avg R:R across all valid TPs (by direction from weighted entry)
if not na(rr_avg)
txt += "\n📐 Avg R:R (all valid TPs): " + str.tostring(rr_avg, format.mintick)
// Totals
txt += "\n🧾 Total P/L: " + "$" + f_usd_str(totalPnlUSD, usd_dp)
txt += "\n🧮 Weighted ROI (by Notional): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%")
else if force_show_hud
txt := "🧪 HUD is active.\nFill Entry prices or tick ⚡.\nEnable 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=="" ? "" : "\n") + "📌 ورود " + str.tostring(idx) + ": " + str.tostring(ent, format.mintick)
txt += "\n 📊 لحظهای: " + (na(pct) ? "—" : str.tostring(pct, format.mintick) + "%") + " | 💵 " + (na(pnlq) ? "—" : "$" + f_usd_str(pnlq, usd_dp))
txt += "\n 🧮 ROI(x" + str.tostring(levX) + "): " + (na(roi) ? "—" : str.tostring(roi, format.mintick) + "%")
// خلاصه پایانی یا پنل تست
if txt != ""
if totalQty > 0
txt += "\n— — —"
txt += "\n⚖️ میانگین ورود وزنی: " + str.tostring(wAvgEntry, format.mintick)
if not na(stop)
txt += "\n❌ SL: " + str.tostring(stop, format.mintick)
// نزدیکترین تارگت
string tpInfo = "—"
if not na(nearestTP)
tpInfo := str.tostring(nearestTP, format.mintick) + (na(nearestDistPct) ? "" : " (Δ " + str.tostring(nearestDistPct, format.mintick) + "%)")
txt += "\n🎯 نزدیکترین: " + tpInfo
// R:R نزدیکترین
if not na(rr)
txt += "\n📐 R:R نزدیکترین: " + str.tostring(rr, format.mintick)
// میانگین R:R روی همه تارگتهای معتبر
if not na(rr_avg)
txt += "\n📐 میانگین R:R (همۀ تارگتهای معتبر): " + str.tostring(rr_avg, format.mintick)
// مجموعها
txt += "\n🧾 مجموع سود/زیان: " + "$" + f_usd_str(totalPnlUSD, usd_dp)
txt += "\n🧮 ROĪ وزنی (بر اساس ناتیونال): " + (na(totalROIweighted) ? "—" : str.tostring(totalROIweighted, format.mintick) + "%")
else if force_show_hud
txt := "🧪 پنل فعال است.\nاز فیلدهای «قیمت ورود» استفاده کن یا تیکهای ⚡ را بزن.\nبرای 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
Arena TP Manager//@version=5
indicator("Arena TP Manager", overlay=true, max_labels_count=500)
// === INPUTS ===
entryPrice = input.float(0.0, "Entry Price", step=0.1)
stopLossPerc = input.float(5.0, "Stop Loss %", step=0.1)
tp1Perc = input.float(10.0, "TP1 %", step=0.1)
tp2Perc = input.float(20.0, "TP2 %", step=0.1)
tp3Perc = input.float(30.0, "TP3 %", step=0.1)
// === CALCULATIONS ===
stopLoss = entryPrice * (1 - stopLossPerc/100)
tp1 = entryPrice * (1 + tp1Perc/100)
tp2 = entryPrice * (1 + tp2Perc/100)
tp3 = entryPrice * (1 + tp3Perc/100)
// === PLOTTING ===
plot(entryPrice > 0 ? entryPrice : na, title="Entry", color=color.yellow, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? stopLoss : na, title="Stop Loss", color=color.red, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? tp1 : na, title="TP1", color=color.green, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? tp2 : na, title="TP2", color=color.green, linewidth=2, style=plot.style_linebr)
plot(entryPrice > 0 ? tp3 : na, title="TP3", color=color.green, linewidth=2, style=plot.style_linebr)
// === LABELS ===
if (entryPrice > 0)
label.new(bar_index, entryPrice, "ENTRY: " + str.tostring(entryPrice), style=label.style_label_up, color=color.yellow, textcolor=color.black)
label.new(bar_index, stopLoss, "SL: " + str.tostring(stopLoss), style=label.style_label_down, color=color.red, textcolor=color.white)
label.new(bar_index, tp1, "TP1: " + str.tostring(tp1), style=label.style_label_up, color=color.green, textcolor=color.white)
label.new(bar_index, tp2, "TP2: " + str.tostring(tp2), style=label.style_label_up, color=color.green, textcolor=color.white)
label.new(bar_index, tp3, "TP3: " + str.tostring(tp3), style=label.style_label_up, color=color.green, textcolor=color.white)
Nef33 Forex & Crypto Trading Signals PRO
1. Understanding the Indicator's Context
The indicator generates signals based on confluence (trend, volume, key zones, etc.), but it does not include predefined SL or TP levels. To establish them, we must:
Use dynamic or static support/resistance levels already present in the script.
Incorporate volatility (such as ATR) to adjust the levels based on market conditions.
Define a risk/reward ratio (e.g., 1:2).
2. Options for Determining SL and TP
Below, I provide several ideas based on the tools available in the script:
Stop Loss (SL)
The SL should protect you from adverse movements. You can base it on:
ATR (Volatility): Use the smoothed ATR (atr_smooth) multiplied by a factor (e.g., 1.5 or 2) to set a dynamic SL.
Buy: SL = Entry Price - (atr_smooth * atr_mult).
Sell: SL = Entry Price + (atr_smooth * atr_mult).
Key Zones: Place the SL below a support (for buys) or above a resistance (for sells), using Order Blocks, Fair Value Gaps, or Liquidity Zones.
Buy: SL below the nearest ob_lows or fvg_lows.
Sell: SL above the nearest ob_highs or fvg_highs.
VWAP: Use the daily VWAP (vwap_day) as a critical level.
Buy: SL below vwap_day.
Sell: SL above vwap_day.
Take Profit (TP)
The TP should maximize profits. You can base it on:
Risk/Reward Ratio: Multiply the SL distance by a factor (e.g., 2 or 3).
Buy: TP = Entry Price + (SL Distance * 2).
Sell: TP = Entry Price - (SL Distance * 2).
Key Zones: Target the next resistance (for buys) or support (for sells).
Buy: TP at the next ob_highs, fvg_highs, or liq_zone_high.
Sell: TP at the next ob_lows, fvg_lows, or liq_zone_low.
Ichimoku: Use the cloud levels (Senkou Span A/B) as targets.
Buy: TP at senkou_span_a or senkou_span_b (whichever is higher).
Sell: TP at senkou_span_a or senkou_span_b (whichever is lower).
3. Practical Implementation
Since the script does not automatically draw SL/TP, you can:
Calculate them manually: Observe the chart and use the levels mentioned.
Modify the code: Add SL/TP as labels (label.new) at the moment of the signal.
Here’s an example of how to modify the code to display SL and TP based on ATR with a 1:2 risk/reward ratio:
Modified Code (Signals Section)
Find the lines where the signals (trade_buy and trade_sell) are generated and add the following:
pinescript
// Calculate SL and TP based on ATR
atr_sl_mult = 1.5 // Multiplier for SL
atr_tp_mult = 3.0 // Multiplier for TP (1:2 ratio)
sl_distance = atr_smooth * atr_sl_mult
tp_distance = atr_smooth * atr_tp_mult
if trade_buy
entry_price = close
sl_price = entry_price - sl_distance
tp_price = entry_price + tp_distance
label.new(bar_index, low, "Buy: " + str.tostring(math.round(bull_conditions, 1)), color=color.green, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_up, size=size.tiny)
if trade_sell
entry_price = close
sl_price = entry_price + sl_distance
tp_price = entry_price - tp_distance
label.new(bar_index, high, "Sell: " + str.tostring(math.round(bear_conditions, 1)), color=color.red, textcolor=color.white, style=label.style_label_down, size=size.tiny)
label.new(bar_index, sl_price, "SL: " + str.tostring(math.round(sl_price, 2)), color=color.red, textcolor=color.white, style=label.style_label_up, size=size.tiny)
label.new(bar_index, tp_price, "TP: " + str.tostring(math.round(tp_price, 2)), color=color.blue, textcolor=color.white, style=label.style_label_down, size=size.tiny)
Code Explanation
SL: Calculated by subtracting/adding sl_distance to the entry price (close) depending on whether it’s a buy or sell.
TP: Calculated with a double distance (tp_distance) for a 1:2 risk/reward ratio.
Visualization: Labels are added to the chart to display SL (red) and TP (blue).
4. Practical Strategy Without Modifying the Code
If you don’t want to modify the script, follow these steps manually:
Entry: Take the trade_buy or trade_sell signal.
SL: Check the smoothed ATR (atr_smooth) on the chart or calculate a fixed level (e.g., 1.5 times the ATR). Also, review nearby key zones (OB, FVG, VWAP).
TP: Define a target based on the next key zone or multiply the SL distance by 2 or 3.
Example:
Buy at 100, ATR = 2.
SL = 100 - (2 * 1.5) = 97.
TP = 100 + (2 * 3) = 106.
5. Recommendations
Test in Demo: Apply this logic in a demo account to adjust the multipliers (atr_sl_mult, atr_tp_mult) based on the market (forex or crypto).
Combine with Zones: If the ATR-based SL is too wide, use the nearest OB or FVG as a reference.
Risk/Reward Ratio: Adjust the TP based on your tolerance (1:1, 1:2, 1:3)
