Su Pine
PORTFOLIO TABLE Full [Titans_Invest]PORTFOLIO TABLE Full
This is a complete table for monitoring your assets or cryptocurrencies in your SPOT wallet without needing to access your broker’s website or app.
⯁ HOW TO USE THIS TABLE❓
Simply select the asset and enter the amount you hold.
The table will display the value of each asset and the total value of your portfolio.
You can monitor up to 19 assets in real time.
⯁ CONVERT VALUES
You can also enable and select a currency for conversion.
For example, cryptocurrencies are calculated in US dollars by default, but you can choose euros as the conversion currency.
The values originally in dollars will then be displayed in euros.
⯁ TRACK THE DAILY VARIATION OF YOUR PORTFOLIO
You’ll be able to monitor your portfolio’s raw daily variation in real time.
🔶 Track your Portfolio in real time:
🔶 Add your local Currency to Convert Values:
🔶 Follow your Portfolio Live:
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📜 SCRIPT : PORTFOLIO TABLE Full
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
___________________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
EMA Validation4 EMA with Support/Resistance Validation (EMA-V)
This indicator displays four Exponential Moving Averages (EMAs) with customizable periods (default: 21, 50, 100, 200) and visually validates their roles as support or resistance.
Each EMA changes color based on its behavior: green for respected support , red for respected resistance, or default colors when unvalidated.
Ideal for traders seeking to identify reliable support and resistance levels across multiple timeframes.
ORB & Key Levels [$100 Strategy]This is a script for anyone trading options with a small account ($100). I utilizes the ORB from 9:30am-9:45am. Key levels of the premarket high/low, Option contracts under $100 and the top 3-5 tickers from your watch list showing strong gap/volume signals
Small account tickers
SOFI
PLTR
RIVN
LCID
DKNG
AMD
There are others, these are just examples. This is for anyone just starting out on this journey and learning. Everyone has their own way of doing it, this is what I used to grow my account until I became knowledgeable enough to come up with a new strategy.
//@version=5
indicator("ORB & Key Levels ", overlay=true)
// === Settings ===
showPreHighLow = input(true, "Show Pre-Market High/Low")
showPrevHighLow = input(true, "Show Previous Day High/Low")
showORB = input(true, "Show 15-min ORB")
// === Previous Day High/Low ===
prevHigh = request.security(syminfo.tickerid, "D", high )
prevLow = request.security(syminfo.tickerid, "D", low )
plot(showPrevHighLow ? prevHigh : na, color=color.green, linewidth=1, title="Previous Day High")
plot(showPrevHighLow ? prevLow : na, color=color.red, linewidth=1, title="Previous Day Low")
// === Pre-Market High/Low ===
var float premHigh = na
var float premLow = na
isPremarket = (hour >= 4 and hour < 9) or (hour == 9 and minute < 30)
premHigh := isPremarket ? na(premHigh) ? high : math.max(premHigh, high) : premHigh
premLow := isPremarket ? na(premLow) ? low : math.min(premLow, low) : premLow
plot(showPreHighLow and not isPremarket ? premHigh : na, color=color.orange, linewidth=1, title="Pre-Market High")
plot(showPreHighLow and not isPremarket ? premLow : na, color=color.orange, linewidth=1, title="Pre-Market Low")
// === 15-Min Opening Range ===
var float orbHigh = na
var float orbLow = na
isORB = (hour == 9 and minute >= 30 and minute < 45)
orbHigh := isORB ? na(orbHigh) ? high : math.max(orbHigh, high) : orbHigh
orbLow := isORB ? na(orbLow) ? low : math.min(orbLow, low) : orbLow
plot(showORB and not isORB and not na(orbHigh) ? orbHigh : na, color=color.blue, linewidth=1, title="ORB High")
plot(showORB and not isORB and not na(orbLow) ? orbLow : na, color=color.blue, linewidth=1, title="ORB Low")
RSI with Support and Resistance ZonesRSI Supp and Res line that plots the line within the rsi indicator. Use it in tandem with chart supp and res line
ATR Volatility giua64ATR Volatility giua64 – Smart Signal + VIX Filter
📘 Script Explanation (in English)
Title: ATR Volatility giua64 – Smart Signal + VIX Filter
This script analyzes market volatility using the Average True Range (ATR) and compares it to its moving average to determine whether volatility is HIGH, MEDIUM, or LOW.
It includes:
✅ Custom or preset configurations for different asset classes (Forex, Indices, Gold, etc.).
✅ An optional external volatility index input (like the VIX) to refine directional bias.
✅ A directional signal (LONG, SHORT, FLAT) based on ATR strength, direction, and external volatility conditions.
✅ A clean visual table showing key values such as ATR, ATR average, ATR %, VIX level, current range, extended range, and final signal.
This tool is ideal for traders looking to:
Monitor the intensity of price movements
Filter trading strategies based on volatility conditions
Identify momentum acceleration or exhaustion
⚙️ Settings Guide
Here’s a breakdown of the user inputs:
🔹 ATR Settings
Setting Description
ATR Length Number of periods for ATR calculation (default: 14)
ATR Smoothing Type of moving average used (RMA, SMA, EMA, WMA)
ATR Average Length Period for the ATR moving average baseline
🔹 Asset Class Preset
Choose between:
Manual – Define your own point multiplier and thresholds
Forex (Pips) – Auto-set for FX markets (high precision)
Indices (0.1 Points) – For index instruments like DAX or S&P
Gold (USD) – Preset suitable for XAU/USD
If Manual is selected, configure:
Setting Description
Points Multiplier Multiplies raw price ranges into useful units (e.g., 10 for Gold)
Low Volatility Threshold Threshold to define "LOW" volatility
High Volatility Threshold Threshold to define "HIGH" volatility
🔹 Extended Range and VIX
Setting Description
Timeframe for Extended High/Low Used to compare larger price ranges (e.g., Daily or Weekly)
External Volatility Index (VIX) Symbol for a volatility index like "VIX" or "EUVI"
Low VIX Threshold Below this level, VIX is considered "low" (default: 20)
High VIX Threshold Above this level, VIX is considered "high" (default: 30)
🔹 Table Display
Setting Description
Table Position Where the visual table appears on the chart (e.g., bottom_center, top_left)
Show ATR Line on Chart Whether to display the ATR line directly on the chart
✅ Signal Logic Summary
The script determines the final signal based on:
ATR being above or below its average
ATR rising or falling
ATR percentage being significant (>2%)
VIX being high or low
Conditions Signal
ATR rising + high volatility + low VIX LONG
ATR falling + high volatility + high VIX SHORT
ATR flat or low volatility or low %ATR FLAT
Grid + Trade Annotations & Liquidations## Introducing the “Grid + Trade Annotations & Liquidations” Pine Script Strategy
Imagine you could overlay a perfectly-spaced price grid on your favorite chart, backtest a simple moving-average crossover, see exactly where trades would have fired off in the past—and even know at what price you’d have been liquidated if you were running at 10× leverage. That’s exactly what this all-in-one TradingView **Pine Script® v6** strategy delivers.
### Why you’ll love it
* **Visual clarity:** A fixed-interval horizontal grid, centered on each bar’s close, helps you instantly spot round-number levels (e.g. every \$0.50).
* **Trade annotations:** Every historical entry/exit is automatically marked with arrows and labels—no more scrolling through Trade History.
* **Liquidation lines:** For each entry, the script computes your theoretical liquidation price, based on your chosen leverage, and draws it as a dashed line.
* **Performance metrics:** Total return, maximum drawdown, Sharpe ratio, and win rate are calculated and displayed on-chart, so you don’t have to wrestle with spreadsheets.
---
## How it’s structured
The code lives in a single **strategy**—add it via **Pine Editor → New Strategy** and click **Add to Chart**. Internally, it’s broken into four main sections:
1. **Grid setup:**
* **Inputs:** `gridStep`, `aboveLines`, `belowLines`, `gridColor`, `gridStyle`, `gridWidth`.
* **Persistent array:** stores `line` objects so they survive bar updates.
* **Draw/update logic:** on each confirmed historical bar, the script either recreates all lines (when you change the count) or simply repositions them around the new close.
2. **Entry/exit logic & annotations:**
* **Example system:** 20-period vs. 50-period simple moving-average crossover.
* **Labels & shapes:**
* Green triangles for long entries/exits, red for short.
* A “Long Liq:” or “Short Liq:” label at the point of entry.
3. **Liquidation calculations:**
* **Formula:**
* Long: `P_liq = P_entry × (1 − 1⁄L)`
* Short: `P_liq = P_entry × (1 + 1⁄L)`
* Let the script draw a dashed red (for longs) or dashed green (for shorts) line at each `P_liq`.
4. **Performance metrics:**
* **Built-ins:**
* `strategy.netprofit_percent` → total return %
* `strategy.max_drawdown_percent` → max drawdown %
* `strategy.wintrades` / `strategy.closedtrades` → win rate %
* **Sharpe ratio:** manually computed from per-bar returns, assuming a user-defined risk-free rate and bars-per-year count.
---
## Using & customizing the strategy
1. **Add to your chart.**
* Copy the full script into Pine Editor, select **Strategy**, and hit **Add to Chart**.
2. **Tune your grid.**
* **`Grid Interval ($)`**: e.g. `0.50` for \$0.50 steps.
* **`Lines Above`/`Below`**: how many lines to show on each side of the current price.
* **`Grid Style`**: choose Solid, Dashed, or Dotted; set line width and opacity via the color picker.
3. **Adjust your trading logic.**
* Out of the box, the script uses SMA(20) vs. SMA(50). Swap in any `ta.*` indicator calls you like.
4. **Set leverage & capital.**
* **`Leverage`**: affects the liquidation price.
* **`Initial Capital`** and **`Order Size`**: the strategy uses 100% of equity per trade by default—you can change that in the `strategy()` call.
5. **Review performance.**
* Metrics show up in the Strategy Tester and on-chart label.
* If you want data in the Data Window, expand the script’s name to see the hidden plots for return, drawdown, Sharpe, and win rate.
---
## Behind the code
Below is a high-level walkthrough of the key snippets:
```pinescript
//@version=6
strategy("Grid + Annotations & Liquidations", overlay=true,
initial_capital=100000, default_qty_type=strategy.percent_of_equity,
default_qty_value=100)
// ─ Grid inputs & style mapping ────────────────────────────────────────
gridStep = input.float(0.50, "Grid Interval ($)", minval=0)
aboveLines = input.int(5, "Lines Above", minval=0)
belowLines = input.int(5, "Lines Below", minval=0)
gridColor = input.color(color.new(color.gray, 80), "Grid Color")
gridStyle = input.string("Dashed", "Grid Style", options= )
gridWidth = input.int(1, "Grid Line Width", minval=1, maxval=5)
gridStyleConst = gridStyle == "Solid" ? line.style_solid :
gridStyle == "Dotted"? line.style_dotted :
line.style_dashed
```
* We map a simple string choice into Pine’s `line.style_*` constants.
* `gridStep` drives the spacing in dollars.
```pinescript
// Persist & update lines only when needed
var line gridLines = array.new_line()
if barstate.islastconfirmedhistory
total = aboveLines + belowLines + 1
if array.size(gridLines) != total
// delete & recreate
…
else
// only reposition
…
```
* Wrapping all drawing in `barstate.islastconfirmedhistory` avoids repaint issues.
* The script deletes and rebuilds lines only when you change `aboveLines`/`belowLines`, otherwise it simply moves them.
```pinescript
// MA crossover logic & liquidation labels
fast = ta.sma(close, 20)
slow = ta.sma(close, 50)
if ta.crossover(fast, slow)
strategy.entry("Long", strategy.long)
liq = close * (1 - 1.0 / leverage)
label.new(bar_index, low, text="Long Liq: " + str.tostring(liq))
line.new(…, y1=liq, y2=liq, color=color.red, style=line.style_dashed)
```
* Entries trigger both the `strategy.entry` call and a pair of visual cues: a label and a dashed line at the computed liquidation price.
```pinescript
// Performance metrics: draw from built-ins + manual Sharpe
totalRet = strategy.netprofit_percent
maxDD = strategy.max_drawdown_percent
winRate = strategy.closedtrades > 0 ?
(strategy.wintrades / strategy.closedtrades)*100 : 0
// Manual Sharpe calculation
… accumulate per-bar % returns … compute mean, stddev … apply formula …
```
* TradingView gives us return, drawdown, and trade counts out of the box.
* We calculate Sharpe ourselves so you can adjust the risk-free rate and periods per year.
---
## Wrapping up
This one-file strategy is designed to be both **educational** and **practical**:
* **Learn by reading:** every section is commented so you can see how Pine v6 handles arrays, loops, strategy functions, and labels.
* **Customize for your edge:** swap in your own indicators, change leverage, or hook up alerts.
* **Publish & share:** drop it into your public repo with this story as your README, and fellow traders will know exactly how to use it.
Feel free to fork, file issues, or submit pull requests. Happy charting—and may your grid lines always align!
Apex Edge - MTF Confluence PanelApex Edge – MTF Confluence Panel
Description:
The Apex Edge – MTF Confluence Panel is a powerful multi-timeframe analysis tool built to streamline trade decision-making by aggregating key confluences across three user-defined timeframes. The panel visually presents the state of five core market signals—Trend, Momentum, Sweep, Structure, and Trap—alongside a unified Score column that summarizes directional bias with clarity.
Traders can customize the number of bullish/bearish conditions required to trigger a score signal, allowing the tool to be tailored for both conservative and aggressive trading styles. This script is designed for those who value a clean, structured, and objective approach to identifying market alignment—whether scalping or swing trading.
How it Works:
Across each of the three selected timeframes, the panel evaluates:
Trend: Based on a user-configurable Hull Moving Average (HMA), the script compares price relative to trend to determine bullish, bearish, or neutral bias.
Momentum: Uses OBV (On-Balance Volume) with volume spike detection to identify bursts of strong buying or selling pressure.
Sweep: Detects potential liquidity grabs by identifying price rejections beyond prior swing highs/lows. A break below a previous low with reversal signals bullish intent (and vice versa for bearish).
Structure: Uses dynamic pivot-based logic to identify market structure breaks (BOS) beyond recent confirmed swing levels.
Trap: Flags potential false moves by measuring RSI overbought/oversold signal clusters combined with minimal price movement—highlighting exhaustion or deceptive breaks.
Score: A weighted consensus of the above components. The number of required confluences to trigger a score (default: 3) can be set by the user via input, offering flexibility in signal sensitivity.
Why It’s Useful for Traders:
Quick Decision-Making: The color-coded panel provides instant visual feedback on whether confluences align across timeframes—ideal for fast-paced environments like scalping or high-volatility news sessions.
Multi-Timeframe Confidence: Helps eliminate guesswork by confirming whether higher and lower timeframe conditions support your trade idea.
Customizability: Adjustable confluence threshold means traders can fine-tune how sensitive the system is—more signals for faster entries, stricter confluence for higher conviction trades.
Built-In Alerts: Automated alerts for score alignment, trap detection, and liquidity sweeps allow traders to stay informed even when away from the screen.
Strategic Edge: Supports directional bias confirmation and trade filtering with logic designed to mimic professional decision-making workflows.
Features:
Clean, real-time confluence table across three user-selected timeframes
Configurable score sensitivity via “Minimum Confluences for Score” input
Cell-based colour coding for at-a-glance trade direction
Built-in alerts for score alignment, traps, and sweep triggers
Note - This Indicator works great in sync with Apex Edge - Session Sweep Pro
Useful levels for TP = previous session high/low boxes or fib levels.
⚠️ Disclaimer:
This script is for informational and educational purposes only and should not be considered financial advice. Always perform your own due diligence and practice proper risk management when trading.
Apex Edge - Session Sweep ProApex Edge Session Sweep Pro
By Apex Edge | 2025 Edition
🔍 What is it?
The Apex Session Sweep Pro is a precision trading tool designed for identifying high-probability liquidity sweep entries during key global market sessions. It combines powerful sweep detection logic with dynamic candle colouring, session visualization, TP projections, and real-time alerts — all within a clean, performance-optimized Pine Script engine.
This is not your average session box indicator. This is Apex-grade.
⚙️ How it Works
The indicator detects session liquidity sweeps by tracking price action relative to previous session highs and lows. When a session high/low is swept (i.e., price breaches it and then closes in the opposite direction), it generates a signal:
Buy Signal → Price sweeps previous low and closes back above it
Sell Signal → Price sweeps previous high and closes back below it
Each session is boxed on the chart (Tokyo, London, New York, Sydney), color-coded, and dynamically labelled.
Upon detecting a valid sweep, the script:
Plots a small entry label (toggleable)
Projects up to 5 customizable TP levels
Coloured candles for visual trade direction
Alerts for Buy or Sell sweep signals (optional)
All elements are memory-managed and customizable to suit your trading style.
🧠 Key Features
✅ Smart Sweep Detection Logic
✅ Global Market Session Boxes (Custom Times)
✅ Toggleable Entry Labels + TP Levels
✅ Candle Colouring by Signal
✅ Manual TP input + TP toggles
✅ Real-time Alerts for Apex entries
🕒 Why Are My Sessions Offset?
Your chart’s time zone may be different from UTC. This script is UTC-based by design, so if your chart is set to UTC+1, for example, the sessions will appear one hour later. Either:
Adjust your chart to UTC or or Exchange for perfect alignment,
Or tweak the session input times manually.
🧰 Who is this for?
This tool is made for:
Intraday traders looking for sweeps into liquidity
SMC (Smart Money Concept) strategists
Forex, crypto, and indices traders
Anyone who uses session-based levels to define entries
Whether you scalp London or ride NY swings, this tool frames each session cleanly — and shows you where the traps are laid.
🚨 Disclaimer
This indicator is a technical tool, not financial advice. Use proper risk management. Past performance ≠ future results.
Apex Edge – Super RSIThe Apex Edge – Super RSI is not your average RSI. This is an institutional-grade signal engine designed for serious traders who want confluence, control, and confidence — all wrapped into one visual powerhouse.
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KEY FEATURES
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✔ **RSI + Divergence Engine**
• Classic & Hidden Divergences (auto-detected)
• Labelled with shapes:
▲ Green Triangle – Buy Signal (strength-based size)
▼ Red Triangle – Sell Signal
◆ Green Diamond – Classic Bullish Divergence
◆ Red Diamond – Classic Bearish Divergence
● Green Circle – Hidden Bullish Divergence
● Red Circle – Hidden Bearish Divergence
Note - Users can edit symbol colours in settings for better clarity
✔ **Trap Detection System**
• Detects low-move, high-signal clusters (liquidity traps)
• Automatically suppresses signals for X bars after detection
• Trap zones shown with shaded background (optional)
✔ **Signal Scoring Logic**
• Each signal is scored 1–6 based on:
• RSI Threshold Break
• RSI Slope
• Divergence Detected
• Trap Avoidance
• Multi-Timeframe Confluence (optional)
• The plotted shape size reflects the strength of the entry signal
✔ **Multi-Timeframe Confluence (MTF)**
• Optional filter that uses HTF and VHTF RSI alignment
• Prevents countertrend signals
• MTF Bias shown on HUD panel
✔ **Always-On HUD Panel**
• Displays:
• Signal Type
• Signal Score
• Divergence Type
• RSI (LTF & HTF)
• Trap & Cooldown Status
• MTF Bias
• Volatility %
✔ **Alert Ready**
• Buy/Sell alerts
• Trap Detected alert
• Divergence alert with dynamic message
• Perfect for webhook integrations
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📘 HOW TO TRADE IT
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✅ **Buy Setup**
• Green triangle (▲) appears **below bar**
• RSI is oversold and rising
• HTF RSI agrees (optional)
• Signal score is 3+ for best confidence
• Avoid signals during cooldown zone
✅ **Sell Setup**
• Red triangle (▼) appears **above bar**
• RSI is overbought and falling
• HTF RSI agrees (optional)
• Signal score is 3+ for best confidence
✅ **Divergences**
• Use diamonds/circles to identify momentum shifts
• Strongest when aligned with score 4–6
❗**Trap Zones**
• When background is shaded, wait for cooldown
• Signals during traps are suppressed for safety
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📊 BEST USED WITH
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🔹 Apex Edge – Session Sweep Pro (to visualize liquidity levels)
🔹 Volume Profile or OBV (volume-based confirmation)
🔹 EMA Ribbon (for trend alignment)
🔹 Fair Value Gap indicator (smart money models)
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🧠 PRO TIPS
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• Use the HUD for decision confidence — if everything aligns, you’ve got an Apex-grade setup.
• Wait for candle close to confirm divergence-based entries.
• Score 5–6 = sniper entries. Score 1–2 = warning shots.
This indicator can be used alongside Apex Edge Session Sweep Pro for better visual clarity.
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© Apex Edge | All rights reserved.
3 days ago
Release Notes
Update - Added a toggle to show/hide HUD when using on smaller mobile devices so as not to clutter the screen.
Kaito Box with RSI Div(Dynamic Adjustment + MA + Long)The script implements a dynamic trading strategy that combines box range detection, RSI divergence signals, and moving average trend analysis. It is designed for use on OKX Signal Bots and includes features for dynamic position scaling and partial position closing. Below is a summary of its key functionalities:
Key Features:
Box Range Detection:
The script identifies price ranges using the highest high and lowest low of a configurable boxLength period.
These levels are plotted on the chart to visualize the price range.
RSI Divergence Detection:
The script calculates RSI using a configurable rsiLength.
Detects bullish divergence when price makes a lower low, but RSI makes a higher low.
Detects bearish divergence when price makes a higher high, but RSI makes a lower high.
Includes separate left and right lookback periods (leftLookback, rightLookback) for precise local extrema detection.
Customizable Moving Averages:
Supports multiple types of Moving Averages (SMA, EMA, SMMA, WMA, VWMA).
Calculates and plots MA20, MA50, MA100, and MA200 on a user-defined timeframe (custom_timeframe).
Identifies uptrends and downtrends based on the alignment of the moving averages and price levels.
Dynamic Position Scaling:
Implements dynamic position sizing for long entries and partial position closing for exits.
The percentage of position size added or closed is based on the difference between the current price and the average position price (avgPrice), with configurable minimum thresholds (minEnterPercent, minExitPercent).
Signal Integration for OKX Bots:
Sends buy/sell signals to OKX Signal Bots using the configured signalToken.
Supports market or limit orders with configurable price offsets and investment types.
Trend-Based Signal Filtering:
Only triggers long signals during downtrends and short signals during uptrends, ensuring trades align with the overall market context.
Visual Annotations:
Plots bullish and bearish divergence signals on the chart.
Displays labels showing dynamic position size adjustments and current average price during trades.
How It Works:
Long Signals:
Triggered when the price breaches the lower box range, and a bullish RSI divergence is detected.
Additional filtering ensures long trades are executed only during downtrend conditions.
Dynamically adjusts the position size based on the price difference from the average entry price.
Short Signals:
Triggered when the price breaches the upper box range, and a bearish RSI divergence is detected.
Additional filtering ensures short trades are executed only during uptrend conditions.
Dynamically closes portions of the position based on price movement relative to the average entry price.
Alerts:
Generates actionable alerts formatted for OKX bots, including order type, signal token, and dynamically calculated position sizes.
Use Case:
This strategy is well-suited for automated trading on platforms like OKX, where it can:
Exploit price ranges and RSI divergences for precise entries and exits.
Dynamically manage position sizes to optimize risk-reward.
Adapt to different market conditions using configurable parameters like moving averages, divergence lookbacks, and trend filters.
This script provides a robust foundation for traders looking to automate their strategies while maintaining flexibility and control over their trading logic.
PORTFOLIO TABLE Simple [Titans_Invest]PORTFOLIO TABLE Simple
This is a simple table for you to monitor your assets or cryptocurrencies in your SPOT wallet without needing to access your broker’s website or wallet app.
⯁ HOW TO USE THIS TABLE❓
You only need to select the asset and enter the amount of each one.
The table will show how much you have of each asset and the total value of your portfolio.
You’ll be able to monitor up to 39 assets in real time.
⯁ CONVERT VALUES
You can also activate and select a currency for conversion.
For example, cryptocurrency assets are calculated in US dollars, but you can select euros as the conversion currency.
The values originally in dollars will then be displayed in euros.
⯁ Track your Portfolio in real time:
⯁ Add your local Currency to Convert Values:
⯁ Follow your Portfolio Live:
___________________________________________________________
📜 SCRIPT : PORTFOLIO TABLE Simple
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
___________________________________________________________
o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
ETH to RTH Gap DetectorETH to RTH Gap Detector
What It Does
This indicator identifies and tracks custom-defined gaps that form between Extended Trading Hours (ETH) and Regular Trading Hours (RTH). Unlike traditional gap definitions, this indicator uses a specialized approach - defining up gaps as the space between previous session close high to current session initial balance low, and down gaps as the space from previous session close low to current session initial balance high. Each detected gap is monitored until it's touched by price.
Key Features
Detects custom-defined ETH-RTH gaps based on previous session close and current session initial balance
Automatically identifies both up gaps and down gaps
Visualizes gaps with color-coded boxes that extend until touched
Tracks when gaps are filled (when price touches the gap area)
Offers multiple display options for filled gaps (color change, border only, pattern, or delete)
Provides comprehensive statistics including total gaps, up/down ratio, and touched gap percentage
Includes customizable alert system for real-time gap filling notifications
Features toggle options for dashboard visibility and weekend sessions
Uses time-based box coordinates to avoid common TradingView drawing limitations
How To Use It
Configure Session Times : Set your preferred RTH hours and timezone (default 9:30-16:00 America/New York)
Set Initial Balance Period : Adjust the initial balance period (default 30 minutes) for gap detection sensitivity
Monitor Gap Formation : The indicator automatically detects gaps between the previous session close and current session IB
Watch For Gap Fills : Gaps change appearance or disappear when price touches them, based on your selected style
Check Statistics : View the dashboard to see total gaps, directional distribution, and touched percentage
Set Alerts : Enable alerts to receive notifications when gaps are filled
Settings Guide
RTH Settings : Configure the start/end times and timezone for Regular Trading Hours
Initial Balance Period : Controls how many minutes after market open to calculate the initial balance (1-240 minutes)
Display Settings : Toggle gap boxes, extension behavior, and dashboard visibility
Filled Box Style : Choose how filled gaps appear - Filled (color change), Border Only, Pattern, or Delete
Color Settings : Customize colors for up gaps, down gaps, and filled gaps
Alert Settings : Control when and how alerts are triggered for gap fills
Weekend Session Toggle : Option to include or exclude weekend trading sessions
Technical Details
The indicator uses time-based coordinates (xloc.bar_time) to prevent "bar index too far" errors
Gap boxes are intelligently limited to avoid TradingView's 500-bar drawing limitation
Box creation and fill detection use proper range intersection logic for accuracy
Session detection is handled using TradingView's session string format for reliability
Initial balance detection is precisely calculated based on time difference
Statistics calculations exclude zero-division scenarios for stability
This indicator works best on futures markets with extended and regular trading hours, especially indices (ES, NQ, RTY) and commodities. Performs well on timeframes from 1-minute to 1-hour.
What Makes It Different
Most gap indicators focus on traditional open-to-previous-close gaps, but this tool offers a specialized definition more relevant to ETH/RTH transitions. By using the initial balance period to define gap edges, it captures meaningful price discrepancies that often provide trading opportunities. The indicator combines sophisticated gap detection logic with clean visualization and comprehensive tracking statistics. The customizable fill styles and integrated alert system make it practical for both chart analysis and active trading scenarios.
weighted support or resistance linesQ: Why should users choose this script?
A: I found that in all the publicly available scripts about support and resistance lines, there is basically no weight identification for these lines. In other words, users do not know which support or resistance lines are the most important. So I specifically wrote this script.
1. By adjusting the weights, only the most effective support or resistance lines are displayed. (Length threshold of trend price (Bar))
2. By selecting the number of K-lines, only the latest number of support or resistance lines generated will be displayed. (Maximum number of reserved S/R lines)
3. By selecting whether to automatically remove lines, only support or resistance lines that have not been penetrated by the k-line will be displayed. If this function is checked, the weight can be adjusted lower, as high-weight SR may have already been penetrated, and the newly generated SR may have a lower weight. (Automatically remove lines penetrated by closing price confirmation)
4. Notes: The default parameters work well in 15-minute candlestick charts. For candlestick charts with other time periods, the parameters can be adjusted appropriately. It is suitable for sideways trading but not for strong trends.
5. I'm quite satisfied with the performance of the script, as I specifically optimized it, lol
30-70 RSI Strategy with Colored BarThis script colors price bars based on Relative Strength Index (RSI) levels, giving traders a quick and visual way to assess overbought or oversold market conditions directly on the chart.
📈 Key Features:
✅ RSI-Based Bar Coloring:
Green bars when RSI is above the upper threshold (default 70) – suggests bullish momentum.
Red bars when RSI is below the lower threshold (default 30) – indicates bearish pressure.
Bars remain uncolored when RSI is between thresholds – a neutral zone.
🔧 Customizable RSI Settings:
Adjustable RSI length (default: 14 periods)
Adjustable overbought/oversold levels (default: 70/30)
🧠 Helps traders:
Quickly spot potential reversals or trend continuations
Visually align price action with momentum
🛠️ Usage:
Ideal for trend-following, reversal, and momentum strategies.
Works across any timeframe (1m, 5m, 1h, daily, etc.).
nineLivesUtilLibLibrary "nineLivesUtilLib"
isDateInRange(currentTime, useTimeFilter, startDate, endDate)
Checks if the current time is within the specified date range.
Parameters:
currentTime (int) : The current bar's time (time).
useTimeFilter (bool) : Bool 📅: Enable the date range filter.
startDate (int) : Timestamp 📅: The start date for the filter.
endDate (int) : Timestamp 📅: The end date for the filter.
Returns: True if the current time is within the range or filtering is disabled, false otherwise.
@example
inDateRange = nineLivesUtilLib.isDateInRange(time, useTimeFilter, startDate, endDate)
if inDateRange
// Execute trading logic
checkVolumeCondition(currentVolume, useVolumeFilter, volumeThresholdMultiplier, volumeLength)
Checks if the current volume meets the threshold condition.
Parameters:
currentVolume (float) : The current bar's volume (volume).
useVolumeFilter (bool) : Bool 📊: Enable the volume filter.
volumeThresholdMultiplier (float) : Float 📊: Volume threshold relative to average (e.g., 1.5 for 1.5x average).
volumeLength (int) : Int 📊: Lookback length for the volume average.
Returns: True if the volume condition is met or filtering is disabled, false otherwise.
@example
volumeOk = nineLivesUtilLib.checkVolumeCondition(volume, useVolumeFilter, volumeThreshold, volumeLength)
if volumeOk
// Proceed with trading logic
checkMultiTimeframeCondition(currentClose, currentOpen, htfClose, htfOpen, useMultiTimeframe, alignment)
Checks alignment with higher timeframe direction.
Parameters:
currentClose (float) : Float: The current bar's closing price (close).
currentOpen (float) : Float: The current bar's opening price (open).
htfClose (float) : Float: The closing price from the higher timeframe (must be fetched by the calling script using request.security).
htfOpen (float) : Float: The opening price from the higher timeframe (must be fetched by the calling script using request.security).
useMultiTimeframe (bool) : Bool ⏱️: Enable multi-timeframe analysis.
alignment (string) : String ⏱️: Desired alignment ("same", "opposite", "any").
Returns: True if the timeframe alignment condition is met or analysis is disabled, false otherwise.
@example
// In the calling script:
= request.security(syminfo.tickerid, higherTimeframe, )
tfOk = nineLivesUtilLib.checkMultiTimeframeCondition(close, open, htfClose, htfOpen, useMultiTimeframe, tfAlignment)
if tfOk
// Proceed with trading logic
checkMarketRegime(useMarketRegime, regimeIndicator, regimeThreshold, regimeLength, regimeMode)
Detects the market regime (trending or ranging) and checks if trading is allowed.
Parameters:
useMarketRegime (bool) : Bool 🔍: Enable market regime detection.
regimeIndicator (string) : String 🔍: Indicator to use ("ADX" or "Volatility").
regimeThreshold (int) : Int 🔍: Threshold for trend strength/volatility.
regimeLength (simple int) : Int 🔍: Lookback length for the indicator.
regimeMode (string) : String 🔍: Trading mode based on regime ("trend_only", "range_only", "adaptive").
Returns: A tuple containing:
: conditionMet (bool) - True if trading is allowed based on the regime mode and detection, false otherwise.
: inTrendingRegime (bool) - True if the current regime is trending based on the indicator and threshold.
@example
= nineLivesUtilLib.checkMarketRegime(useMarketRegime, regimeIndicator, regimeThreshold, regimeLength, regimeMode)
if regimeOk
// Proceed with trading logic
applyCooldown(buySignal, sellSignal, cooldownBars)
Applies a cooldown period after a signal.
Parameters:
buySignal (bool) : Bool: Buy signal (potentially after primary entry logic).
sellSignal (bool) : Bool: Sell signal (potentially after primary entry logic).
cooldownBars (int) : Int ⏳: The number of bars to wait after a signal before allowing another.
Returns: A tuple containing:
: cooldownFilteredBuy (bool) - Buy signal after cooldown filter.
: cooldownFilteredSell (bool) - Sell signal after cooldown filter.
@example
= nineLivesUtilLib.applyCooldown(rawBuySignal, rawSellSignal, iCool)
applyAllFilters(rawBuy, rawSell, inDateRange, tradeDirection, volumeOk, tfOk, regimeOk, drawdownOk, cooldownOkBuy, cooldownOkSell)
Applies all filtering conditions to the buy and sell signals.
Parameters:
rawBuy (bool) : Bool: The initial buy signal candidate (from primary entry logic, e.g., after cooldown).
rawSell (bool) : Bool: The initial sell signal candidate (from primary entry logic, e.g., after cooldown).
inDateRange (bool) : Bool 📅: Result from isDateInRange.
tradeDirection (string) : String 🔄: Overall trade direction preference ("longs_only", "shorts_only", "both").
volumeOk (bool) : Bool 📊: Result from checkVolumeCondition.
tfOk (bool) : Bool ⏱️: Result from checkMultiTimeframeCondition.
regimeOk (bool) : Bool 🔍: Result from checkMarketRegime.
drawdownOk (bool) : Bool 📉: Result from checkDrawdownExceeded (or equivalent).
cooldownOkBuy (bool) : Bool ⏳: Result from applyCooldown for buy.
cooldownOkSell (bool) : Bool ⏳: Result from applyCooldown for sell.
Returns: A tuple containing:
: finalBuySignal (bool) - The final buy signal after all filters.
: finalSellSignal (bool) - The final sell signal after all filters.
@example
= nineLivesUtilLib.applyAllFilters(cooldownBuy, cooldownSell, inDateRange, tradeDirection, volumeOk, tfOk, regimeOk, !drawdownExceeded, cooldownBuy, cooldownSell)
NOTE: This function filters signals generated by your primary entry logic (e.g., EMA crossover).
checkDrawdownExceeded(currentEquity, useMaxDrawdown, maxDrawdownPercent)
Tracks maximum equity and checks if current drawdown exceeds a threshold.
Parameters:
currentEquity (float) : Float: The strategy's current equity (strategy.equity).
useMaxDrawdown (bool) : Bool 📉: Enable max drawdown protection.
maxDrawdownPercent (float) : Float 📉: The maximum allowed drawdown as a percentage.
Returns: True if drawdown protection is enabled and the current drawdown exceeds the threshold, false otherwise.
@example
drawdownExceeded = nineLivesUtilLib.checkDrawdownExceeded(strategy.equity, useMaxDrawdown, maxDrawdownPercent)
if drawdownExceeded
// Consider stopping entries or exiting positions in the strategy script
calculateExitPrice(positionAvgPrice, percentage, isStop, isLong)
Calculates a stop loss or take profit price based on a percentage from the average entry price.
Parameters:
positionAvgPrice (float) : Float: The average price of the current position (strategy.position_avg_price).
percentage (float) : Float: The stop loss or take profit percentage (e.g., 2.0 for 2%).
isStop (bool) : Bool: True if calculating a stop loss price, false if calculating a take profit price.
isLong (bool) : Bool: True if the position is long, false if short.
Returns: The calculated stop price or take profit price, or na if no position or percentage is invalid.
@example
longSL = nineLivesUtilLib.calculateExitPrice(strategy.position_avg_price, stopLossPercent, true, true)
shortTP = nineLivesUtilLib.calculateExitPrice(strategy.position_avg_price, takeProfitPercent, false, false)
calculateTrailingStopLevel(positionAvgPrice, trailOffsetPercent, trailPercent, currentHigh, currentLow, isLong)
Calculates the current trailing stop level for a position.
Parameters:
positionAvgPrice (float) : Float: The average price of the current position (strategy.position_avg_price).
trailOffsetPercent (float) : Float 🔄: The percentage price movement to activate the trailing stop.
trailPercent (float) : Float 🔄: The percentage distance the stop trails behind the price.
currentHigh (float) : Float: The current bar's high (high).
currentLow (float) : Float: The current bar's low (low).
isLong (bool) : Bool: True if the position is long, false if short.
Returns: The calculated trailing stop price if active, otherwise na.
@example
longTrailStop = nineLivesUtilLib.calculateTrailingStopLevel(strategy.position_avg_price, trailOffset, trailPercent, high, low, true)
shortTrailStop = nineLivesUtilLib.calculateTrailingStopLevel(strategy.position_avg_price, trailOffset, trailPercent, high, low, false)
if not na(longTrailStop)
strategy.exit("Long Trail", from_entry="Long", stop=longTrailStop)
Custom Time Session Background (Amsterdam Time, DST Safe)This indicator highlights two custom intraday time ranges with background colors on your chart. The times are set based on your local Amsterdam time and automatically adjust for Daylight Saving Time (DST).
📌 Features:
- Define two separate time ranges (Start & End) in local Amsterdam time
- Background color highlighting for each range
- Fully DST-aware using the "Europe/Amsterdam" timezone
- Works across all intraday timeframes
🎯 Use Cases:
- Highlight key market sessions (e.g., EU open, NY overlap)
- Visually segment your trading hours
- Eliminate manual DST adjustments
Developed with Pine Script v5.
Made for traders who want clarity during specific time zones, without worrying about time shifts across the year.
Bar Count for XAUThis TradingView indicator labels every other five-minute candle for XAU during the current Beijing session, which runs from 06:00 to 05:00 the next day. It shows the actual bar numbers—1, 3, 5, and so on—only for today’s session; yesterday’s labels are automatically cleared at the new open. The tags appear just below each qualifying candle with no background box, and you can adjust the font size in the settings. In short, it gives you a clean, real-time visual of intraday bar order without clutter
Overnight ES Strategy: CBC + Fractal + RSI + ATR FilterThis script is designed for overnight trading of the E-mini S&P 500 futures (ES) between 6 PM and 11 PM EST.
It combines multiple technical confluences to generate high-probability buy and sell signals, focusing on volatility-rich, low-liquidity evening sessions.
Key Features:
Candle Body Confluence (CBC) Approximation:
Identifies candles with small real bodies compared to total range, simulating consolidation zones where price is likely to reverse.
Williams Fractal Confirmation:
Detects local tops and bottoms based on 5-bar fractal reversal patterns, helping validate breakout or reversal points.
RSI Filter:
Ensures momentum is supportive — buys only when RSI < 35 (oversold) and sells only when RSI > 65 (overbought).
ATR Volatility Filter:
Trades are only allowed if the Average True Range (ATR) exceeds a user-defined threshold, filtering out low-volatility, risky environments.
Time Session Control:
Signals are only generated during the user-defined evening session (default: 6 PM to 11 PM EST) to match market behavior.
Real-Time Alerts Enabled:
Alerts can be set for BUY or SELL conditions, enabling mobile notifications, emails, or pop-ups without constant chart monitoring.
Recommended Settings:
Chart Timeframe: 15-minute or 30-minute candles
Assets: ES Mini (ES1!), NQ Mini, or other CME futures
Session: New York Time (EST)
ATR Threshold: Adjust based on market conditions; 5.0 suggested starting point for ES Mini on 15m.
Important:
This script only plots signals, it does not auto-execute trades.
Always backtest and paper trade before using live capital.
Volatility can vary; consider adjusting RSI and ATR filters based on market environment.
Credits:
Script designed based on confluence of price action, momentum, reversal structure, and volatility filtering principles used by professional traders.
Inspired by Candle Body Confluence (CBC) theory and Williams fractal techniques.
RSI + MACD + Liquidity FinderLiquidity Finder: The liquidity zones are heuristic and based on volume and swing points. You may need to tweak the volumeThreshold and lookback to match the asset's volatility and timeframe.
Timeframe: This script works on any timeframe, but signals may vary in reliability (e.g., higher timeframes like 4H or 1D may reduce noise).
Customization: You can modify signal conditions (e.g., require only RSI or MACD) or add filters like trend direction using moving averages.
Backtesting: Use TradingView's strategy tester to evaluate performance by converting the indicator to a strategy (replace plotshape with strategy.entry/strategy.close).
Sweep Reversal 5M PRO – by [TuNombre]🔹 **Sweep Reversal 5M PRO – by ** 🔹
This indicator is built to detect high-probability *Institutional Sweeps* using Swing Failure Patterns (SFP), fully filtered with Smart Money Concepts (SMC) logic and volume confirmation.
✅ Identifies key liquidity grabs
✅ Confirms with strong impulse candle + increasing volume
✅ Filters out false signals (doji, weak zones, low volume)
✅ Optimized for the 5-minute timeframe (5M)
✅ Compatible with push alerts to your mobile
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**How to use it:**
1. Wait for a “BUY” or “SELL” signal on the chart
2. Only enter if the next candle confirms with momentum
3. Place a tight stop just beyond the sweep
4. Recommended Take Profit: 1:1 minimum / 2:1 ideal
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💡 Inspired by institutional trading (SMC, ICT-style setups)
🔒 Developed by – private or team-based use
📲 Activate alerts to get real-time trade opportunities on your phone
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⚠️ This script does not repaint.
Built for serious traders who want precision, not noise.
The Hebrew CalendarThis indicator displays the current Hebrew (Jewish) calendar date based on the real-time Gregorian calendar. Features included:
Calculates and displays the current Hebrew day, month, and year.
Recognizes leap years and adjusts month counts accordingly.
Aligns with traditional Hebrew month names (Tishrei, Cheshvan, Kislev, etc.).
The calculations align with the Hebrew Calendar Converter from:
👉 www.chabad.org
The results are shown in a table overlay on your chart's top-right corner. This indicator is great for symbolic traders, astro enthusiasts, or anyone interested in ancient timekeeping systems woven into financial timeframes. Enjoy, time travelers! ⌛
The Mayan CalendarThis indicator displays the current date in the Mayan Calendar, based on real-time UTC time. It calculates and presents:
🌀 Long Count (Baktun.Katun.Tun.Uinal.Kin) – A linear count of days since the Mayan epoch (August 11, 3114 BCE).
🔮 Tzolk'in Date – A 260-day sacred cycle combining a number (1–13) and one of 20 day names (e.g., 4 Ajaw).
🌾 Haab' Date – A 365-day civil cycle divided into 18 months of 20 days + 5 "nameless" days (Wayeb').
The calculations follow Smithsonian standards and align with the Maya Calendar Converter from the National Museum of the American Indian:
👉 maya.nmai.si.edu
The results are shown in a table overlay on your chart's top-right corner. This indicator is great for symbolic traders, astro enthusiasts, or anyone interested in ancient timekeeping systems woven into financial timeframes. Enjoy, time travelers! ⌛
