Price for 1 Gold Baht ราคา ทองคำ หนึ่งบาท📘 Indicator Description
🔧 English Version
Name: Price for 1 Gold Baht – ราคา ทองคำ หนึ่งบาท
Short title: 1 Baht Gold (THB)
Purpose:
This indicator calculates and visualizes the real-time price of 1 Thai Gold Baht (15.244 grams) based on the global gold price (XAU/USD) and the USD/THB exchange rate. It allows users to simulate the domestic Thai gold price with customizable inputs for gold weight and purity.
What it does:
Retrieves live gold price per troy ounce in USD (XAU/USD) Retrieves the current USD to Thai Baht exchange rate (USD/THB)
Converts the value into Thai Baht using:
User-defined weight in grams (default: 15.244 g)
User-defined purity in % (default: 96.5% for standard Thai gold)
Displays the result as a real-time chart line
Adds reference values to the Data Window for detailed tracking
Ideal for:
Traders who want to monitor local Thai gold price movements in global markets Analysts comparing spot gold to domestic bullion prices Anyone needing a precise, configurable conversion of international gold data into local Thai currency
📘 คำอธิบายอินดิเคเตอร์
🔧 ภาษาไทย
ชื่อ: ราคา ทองคำ หนึ่งบาท – Price for 1 Gold Baht
ชื่อย่อ: 1 Baht Gold (THB)
วัตถุประสงค์:
อินดิเคเตอร์นี้ออกแบบมาเพื่อแสดงราคาทองคำไทย 1 บาท (น้ำหนัก 15.244 กรัม) แบบเรียลไทม์ โดยใช้ราคาทองคำสากล (XAU/USD) และอัตราแลกเปลี่ยน USD/THB พร้อมทั้งให้ผู้ใช้สามารถปรับแต่งค่าน้ำหนักและความบริสุทธิ์ของทองได้ตามต้องการ
สิ่งที่อินดิเคเตอร์นี้ทำ:
ดึงราคาทองคำต่อทรอยออนซ์ในรูปแบบ USD (XAU/USD) แบบเรียลไทม์
ดึงอัตราแลกเปลี่ยน USD → บาท (USD/THB)
คำนวณราคาทองคำไทยโดยใช้: - น้ำหนักทองที่กำหนดโดยผู้ใช้ (ค่าเริ่มต้น 15.244 กรัม) - ความบริสุทธิ์ของทองที่กำหนดได้ (ค่าเริ่มต้น 96.5% สำหรับทองไทย) แสดงผลราคาทองคำ 1 บาทในรูปแบบกราฟเส้น แสดงข้อมูลเสริมใน Data Window เช่น ราคาทองสากล อัตราแลกเปลี่ยน และข้อมูลการคำนวณ
เหมาะสำหรับ:
นักเทรดที่ต้องการติดตามราคาทองคำไทยจากความเคลื่อนไหวในตลาดโลก
นักวิเคราะห์ที่เปรียบเทียบราคาทองคำ Spot กับราคาทองคำภายในประเทศ
ผู้ใช้งานที่ต้องการแปลงข้อมูลทองคำระหว่างประเทศให้เป็นราคาท้องถิ่นอย่างแม่นยำ
💡 Tip:
To use this script: Add it to any chart Customize gold weight or purity (if needed) Observe how international gold price movements translate to Thai domestic gold prices
指標和策略
Advanced Bearish Indicator with AlertsSELL baby sell
I wanted a soul bearish indicator to tell me when to raise my stop or close my trade.
Works on all time frames, great for Gold and Stocks.
conditions:: Price must be above the 20 ema line.
When a doji and or a spinning-top touch the 8 ema line to the downside, a red triangle will appear on top of that candle.
The fifth time this happens, a red "X" that has a seperate SELL alert, will appear above that candle - if your automating your trades, you can automate your trade so the stoploss will rise by 80% or more when you get an 'X".
Happy trading.
ICT Macro H1 v2"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
Pullback and ZigZag Logic🔥 Pullback and ZigZag Logic – Premium Indicator 🔥
100% Precision in Identifying Pullbacks and ZigZag Swings – No Lag, No Repaint
Unlock the ultimate edge in trend detection with this powerful, logic-based premium indicator that delivers crystal-clear pullback zones and dynamic ZigZag patterns in real-time.
✅ Key Features:
Accurate Pullback Detection: Instantly spots valid pullbacks during trend reversals using precise candle structure logic.
Smart Trend Recognition: Automatically detects the start of strong bullish or bearish trends based on price action.
True ZigZag Logic (Non-Repainting): Connects true swing highs and lows with perfect structure – no guesswork, no lagging calculations.
Clean Overlay Visualization: Elegant lines drawn directly on the chart to help visualize trend continuation or reversal.
📊 Best For:
Scalpers and intraday traders
Swing and position traders
Trend-followers and breakout traders
Price action strategists
Zonas de Compra y Venta ScalpingRIXAR, buy and sell zones in xauusdBUY
rixar, buy and sell zones in xauusd,
indicator for gold, where the red zone indicates sells and the green zone indicates buys.
indicator
.
.
3 Zero Lag + 3 Moving Averages + 3 RVWAPThe "3 Zero Lag + 3 Moving Averages + 3 RVWAP" (ZMR) indicator combines three groups of tools for technical analysis.
1. Three Customizable Moving Averages (MAs):
Configuration for Each MA:
Choice of 7 types (SMA, EMA, WMA, HMA, VWMA, LSMA, SMMA).
Independent periods and price sources for each line.
Visualization:
MA1 (Blue), MA2 (Red), MA3 (Green).
2. Three Zero Lag EMAs (ZLEMA) with Individual Settings:
Lag Reduction: Corrects traditional EMA lag using:
Adjusted Price = 2 * Current Price - Price .
Flexibility:
Unique lengths (20, 50, 70) and individual price sources for each ZLEMA (HLC3, HL2, Close, etc.).
Colors:
ZLEMA1 (Yellow), ZLEMA2 (Orange), ZLEMA3 (Purple).
3. Three Rolling VWAPs with Custom Parameters:
Volume-Weighted Average Price (VWAP):
Calculated for three periods (20, 50, 100) with dedicated price sources for each VWAP.
Colors:
VWAP1 (Pink), VWAP2 (Light Blue), VWAP3 (Neon Green).
ICT Macro H1"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
squeeze momentum BAR color - KLTSqueeze Momentum BAR COLOR - KLT
Description:
The Squeeze Momentum BAR COLOR - KLT is a powerful tool designed to detect volatility compression ("squeeze" zones) and visualize momentum shifts using a refined color-based system. This script blends the well-known concepts of Bollinger Bands and Keltner Channels with an optimized momentum engine that uses dynamic color gradients to reflect trend strength, direction, and volatility.
It’s built for traders who want early warning of potential breakouts and clearer insight into underlying market momentum.
🔍 How It Works:
📉 Squeeze Detection:
This indicator identifies "squeeze" conditions by comparing Bollinger Bands and Keltner Channels:
When Bollinger Bands are inside Keltner Channels → Squeeze is ON
When Bollinger Bands expand outside Keltner Channels → Squeeze is OFF
You’ll see squeeze zones classified as:
Wide
Normal
Narrow
Each represents varying levels of compression and breakout potential.
⚡ Momentum Engine:
Momentum is calculated using linear regression of the price's deviation from a dynamic average of highs, lows, and closes. This gives a more accurate representation of directional pressure in the market.
🧠 Smart Candle Coloring (Optimized):
The momentum color logic is inspired by machine learning principles (no hardcoded thresholds):
EMA smoothing and rate of change (ROC) are used to detect momentum acceleration.
ATR-based filters help remove noise and false signals.
Colors are dynamically assigned based on both direction and trend strength.
🔷 Color Guide:
🟢 Bull Strong: color.rgb(1, 255, 31, 52) → Strong bullish momentum, accelerating upward
🔴 Bull Weak: color.rgb(255, 0, 0, 57) → Still positive, but losing strength
🔺 Bear Strong: color.red → Strong bearish momentum
🟩 Bear Weak: color.rgb(30, 255, 0) → Downtrend slowing or about to reverse
⚪ Neutral: color.gray → No clear trend
🧪 How to Use It:
Look for Squeeze Conditions — especially narrow squeezes, which tend to precede high-momentum breakouts.
Confirm with Momentum Color — strong colors often indicate trend continuation; fading colors may signal exhaustion.
Combine with Price Action — use this tool with support/resistance or patterns for higher probability setups.
Recommended For:
Trend Traders
Breakout Traders
Volatility Strategy Users
Anyone who wants visual clarity on trend strength
📌 Tip: This indicator works great when layered with volume and price action patterns. It is fully non-repainting and supports overlay on price charts.
⚠️ Disclaimer: For educational purposes only. This indicator does not constitute financial advice. Always use with proper risk management.
True Range Orginal📌 Description – True Range Original
This indicator calculates the range (price spread) of the last N candles and displays it directly on the chart, along with suggested dynamic stop-loss levels based on recent volatility. Ideal for scalpers and day traders working on short timeframes such as 1-minute charts.
🔍 Features:
Calculates the difference between the highest high and lowest low of the last N bars (default: 15).
Plots a floating label with the current range value, updated every 5 candles.
Displays 4 dynamic stop levels:
For long positions:
Stop at 1x range (green line)
Stop at 1.5x range (light green line)
For short positions:
Stop at 1x range (red line)
Stop at 1.5x range (dark red line)
⚙️ Inputs:
Range period (number of bars)
Stop multiplier 1 (default: 1.0)
Stop multiplier 2 (default: 1.5)
📈 Usage:
This tool helps you size your stop-loss dynamically based on recent price action instead of using fixed values. It can be used alone or in combination with other tools like support/resistance, volume, or aggression indicators.
[blackcat] L3 Ichimoku FusionCOMPREHENSIVE ANALYSIS OF THE L3 ICHIMOKU FUSION INDICATOR
🌐 Overview:
The L3 Ichimoku Fusion is a sophisticated multi-layered technical analysis tool integrating classic Japanese market forecasting techniques with enhanced dynamic elements designed specifically for identifying potential turning points in financial instruments' pricing action.
Key Purpose:
To provide traders with an intuitive yet powerful framework combining established ichimoku principles while incorporating additional validation checkpoints derived from cross-timeframe convergence studies.
THEORETICAL FOUNDATION EXPLAINED
🎓 Conceptual Background:
:
• Conversion & Base Lines tracking intermediate term averages
• Lagging Span providing delayed feedback mechanism
• Lead Spans projecting future equilibrium states
:
• Adaptive parameter scaling options
• Automated labeling system for critical junctures
• Real-time alert infrastructure enabling immediate response capability
PARAMETER CONFIGURATION GUIDE
⚙️ Input Parameters Explained In Detail:
Regional Setting Selection:**
→ Oriental Configuration: Standardized approach emphasizing slower oscillation cycles
→ Occidental Variation: Optimized settings reducing lag characteristics typical of original methodology
Multiplier Adjustment Functionality:**
↔ Allows fine-graining oscillator responsiveness without altering core relationship dynamics
↕ Enables adaptation to various instrument volatility profiles efficiently
Displacement Value Control:**
↓ Controls lead/lag offset positioning relative to current prices
↑ Provides flexibility in adjusting visual representation alignment preferences
DYNAMIC CALCULATION PROCESSES
💻 Algorithmic Foundation:
:
Utilizes highest/lowest extremes over specified lookback windows
Produces more responsive conversions compared to simple MAs
:
→ Confirms directional bias across multiple independent criteria
← Ensures higher probability outcomes reduce random noise influence
:
♾ Creates persistent annotations documenting significant events
🔄 Handles complex state transitions maintaining historical record integrity
VISUALIZATION COMPONENTS OVERVIEW
🎨 Display Architecture Details:
:
→ Solid colored trendlines representing conversion/base relationships
↑ Fill effect overlay differentiating expansion/compression phases
↔ Offset spans positioned according to calculated displacement values
:
→ Green shading indicates positive configuration scenarios
↘ Red filling highlights negative arrangement situations
⟳ Orange transition areas mark transitional periods requiring caution
:
✔️ LE: Long Entry opportunity confirmed
❌ SE: Short Setup validated
☑ XL/XS: Position closure triggers active
✓ RL/RS: Potential re-entry chances emerging
STRATEGIC APPLICATION FRAMEWORK
📋 Practical Deployment Guidelines:
Initial Integration Phase:
Select appropriate timeframe matching trading horizon preference
Configure input parameters aligning with target asset behavior traits
Test thoroughly under simulated conditions prior to live usage
Active Monitoring Procedures:
• Regular observation of cloud formation evolution
• Tracking label placements against actual price movements
• Noting pattern development leading up to signaled entry/exit moments
Decision Making Process Flowchart:
→ Identify clear breakout/crossover events exceeding confirmation thresholds
← Evaluate contextual factors supporting/rejecting indicated direction
↑ Execute trades only after achieving required number of confirming inputs
PERFORMANCE OPTIMIZATION TECHNIQUES
🚀 Refinement Strategies:
Calibration Optimization Approach:
→ Start testing with default suggested configurations
↓ Gradually adjust individual components observing outcome changes
↑ Document findings systematically building personalized version profile
Context Adaptability Methods:
➕ Add supplementary indicators enhancing overall reliability
➖ Remove unnecessary complexity layers if causing confusion
✨ Incorporate custom rules adapting to specific security behaviors
Efficiency Improvement Tactics:
🔧 Streamline redundant processing routines where possible
♻️ Leverage shared data streams whenever feasible
⚡ Optimize refresh frequencies balancing update speed vs computational load
RISK MITIGATION PROTOCOLS
🛡️ Safety Measures Implementation Guide:
Position Sizing Principles:
∅ Never exceed preset maximum exposure limits defined by risk tolerance
± Scale positions proportionally per account size/market capitalization
× Include slippage allowances within planning stages accounting for liquidity variations
Validation Requirements Hierarchy:
☐ Verify signals meet minimum number of concurrent validations
⛔ Ignore isolated occurrences lacking adequate evidence backing
▶ Look for convergent evidence strengthening conviction level
Emergency Response Planning:
↩ Establish predefined exit strategies including trailing stops mechanisms
🌀 Plan worst-case scenario responses ahead avoiding panic reactions
⇄ Maintain contingency plans addressing unexpected adverse developments
USER EXPERIENCE ENHANCEMENT FEATURES
🌟 Additional Utility Functions:
Alert System Infrastructure:
→ Automatic notifications delivered directly to user devices
↑ Message content customized explaining triggered condition specifics
↔ Timing optimization ensuring minimal missed opportunities due to latency issues
Historical Review Capability:
→ Ability to analyze past performance retrospectively
↓ Assess effectiveness across varying market regimes objectively
↗ Generate statistics measuring success/failure rates quantitatively
Community Collaboration Support:
↪ Share personal optimizations benefiting wider trader community
↔ Exchange experiences improving collective understanding base
✍️ Provide constructive feedback aiding ongoing refinement process
CONCLUSION AND NEXT STEPS
This comprehensive guide serves as your roadmap toward mastering the capabilities offered by the L3 Ichimoku Fusion indicator effectively. Success relies heavily on disciplined application combined with continuous learning and adjustment processes throughout implementation journey.
Wishing you prosperous trading endeavors! 👋💰
Power Law Global Liquidity Price Model & OscillatorDescription:
This Pine Script implements a predictive Bitcoin (BTC) price model derived from an observed power-law relationship between BTC price and Global Liquidity (specifically Global M2).
To clarify, the indicator doesn't show M2 directly as many indicators do, but uses an empirical observed relationship between BTC price and M2. This is an important difference from other Global Liquidity indicators and makes it very useful because it allows for making predictions on the future of Bitcoin price.
The model is based on the relationship BTC ~ GL^9.3, where GL represents Global M2, and the best correlation is achieved with an 85-period lead in GL, making it a leading indicator for BTC price movements. The observed correlation is higher than 0.92, giving high confidence in the model's validity. The 85-day lead was chosen by calculating the predictive rate of the model (how many times a positive/negative return in the model correlates with the price) with a given lead. The relationship between a chosen delay and predictive power has a maximum at 85 days.
Features:
BTC Price Model:
Calculates a BTC price model using the power-law relationship (BTC ~ GL^9.3) with an 85-period lead in Global Liquidity data.
The model is superimposed on the chart using forced overlay for clear visualization of the predicted BTC price trend relative to actual price.
Directional Oscillator:
Displayed in a lower panel, the oscillator compares the structural similarity between the actual BTC price and the GL-based price model.
Computes the win rate of the averaged BTC price (over a 1-year period) versus the price model to highlight structural alignment.
Projects future oscillator values based on the 85-period lead in the GL model, providing insight into potential price direction.
This feature is also very unique, and it is not present in most Global Liquidity indicators. The reason to choose the win rate is that this parameter doesn't depend on a precise scaling
between the BTC price and GL. This allows for better identification of changes in features between the 2 time series (for example, a downturn, a run up, peaks, bottoms, and similar).
Purpose:
This script serves as a predictive tool for traders and analysts by leveraging the leading relationship between Global Liquidity and BTC price. The overlay model and oscillator provide both a visual and quantitative framework to anticipate BTC price trends and assess structural alignment with global economic indicators.
The indicator allows for early identification of bottoms, peaks, and possible local bull or bear runs.
Usage Notes:
This indicator works best when used with the "All Time History" BTCUSD index.
The 85-period lead in GL allows for forward-looking projections, making this tool suitable for strategic planning.
The oscillator aids in confirming the structural validity of the model, enhancing confidence in its projections.
ICT Macro H1"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
Hộp thời gian quanh đóng nến H1"H1 Candle Time Box" is a custom TradingView indicator that highlights a configurable time window surrounding the close of each 1-hour (H1) candle. The indicator draws a transparent box 15 minutes before and after each H1 candle close (by default), helping traders visualize time-based reaction zones.
🔍 Features:
Custom time window: Users can set how many minutes before and after the H1 close the box should appear.
Dynamic positioning: Boxes are drawn slightly above the candles to avoid overlap with price bars.
Live time labels: Each box displays its time range (e.g., "08:45 - 09:15") based on the start and end time of the zone.
Auto-cleaning: Only a limited number of recent boxes (default: 5) are shown, keeping the chart clean.
Requires 1-minute chart for precise timing.
This tool is especially helpful for intraday traders to identify areas of interest or market reactions before and after key hourly closes.
Volatility Regime Classifier | ATRP Percentile ZonesThis indicator helps you understand the current volatility environment of any asset by comparing recent ATR-based values to its historical range.
It defines four regimes:
🔴 Low Volatility: Volatility is decreasing
🟢 Normal: Volatility is increasing but still below average
🟠 High: Volatility is elevated
🟣 Extreme: Volatility is very high compared to recent history
⚙️ How it works
We calculate the Average True Range (ATR) as a percentage of price (ATRP), then compare a short-term ATR to a longer-term one. Their difference shows whether volatility is picking up or slowing down.
To make the signal more adaptive, we look at the distribution of recent volatility over a rolling window. We compute the 50th and 70th percentiles of that history to set dynamic thresholds.
About distribution & percentiles
Volatility in financial markets doesn't follow a normal (Gaussian) distribution, it's often skewed, with sudden spikes and fat tails. That means fixed thresholds (like "ATR > 20") can be misleading or irrelevant across assets and timeframes.
Using percentiles solves this:
The 50th percentile marks the middle of the recent volatility range.
The 70th percentile captures a zone where volatility is unusually high, but not too rare, which keeps the signal usable and not overly sensitive.
These levels offer a balance:
⚖️ not too reactive, not too slow — just enough to highlight meaningful shifts.
✅ Use cases
Spot changes in market conditions
Filter or adapt strategies depending on the regime
Adjust position sizing and risk dynamically
Small Cap Momentum Entry System✅ Features Included:
Momentum entry detection
Trailing stop overlay
Alert for entry and exit
Pre-market high line (optional display toggle)
Dual-Phase Trend Regime Oscillator (Zeiierman)█ Overview
Trend Regime: Dual-Phase Oscillator (Zeiierman) is a volatility-sensitive trend classification tool that dynamically switches between two oscillators, one optimized for low volatility, the other for high volatility.
By analyzing standard deviation-based volatility states and applying correlation-derived oscillators, this indicator reveals not only whether the market is trending but also what kind of trend regime it is in —Bullish or Bearish —and how that regime reacts to market volatility.
█ Its Uniqueness
Most trend indicators assume a static market environment; they don't adjust their logic when the underlying volatility shifts. That often leads to false signals in choppy conditions or late entries in trending phases.
Trend Regime: Dual-Phase Oscillator solves this by introducing volatility-aware adaptability. It switches between a slow, stable oscillator in calm markets and a fast, reactive oscillator in volatile ones, ensuring the right sensitivity at the right time.
█ How It Works
⚪ Volatility State Engine
Calculates returns-based volatility using standard deviation of price change
Smooths the current volatility with a moving average
Builds a volatility history window and performs median clustering to determine typical "Low" and "High" volatility zones
Dynamically assigns the chart to one of two internal volatility regimes: Low or High
⚪ Dual Oscillators
In Low Volatility, it uses a Slow Trend Oscillator (longer lookback, smoother)
In High Volatility, it switches to a Fast Trend Oscillator (shorter lookback, responsive)
Both oscillators use price-time correlation as a measure of directional strength
The output is normalized between 0 and 1, allowing for consistent interpretation
⚪ Trend Regime Classification
The active oscillator is compared to a neutral threshold (0.5)
If above: Bullish Regime, if below: Bearish Regime, else: Neutral
The background and markers update to reflect regime changes visually
Triangle markers highlight bullish/bearish regime shifts
█ How to Use
⚪ Identify Current Trend Regime
Use the background color and chart table to immediately recognize whether the market is trending up or down.
⚪ Trade Regime Shifts
Use triangle markers (▲ / ▼) to spot fresh regime entries, which are ideal for confirming breakouts within trends.
⚪ Pullback Trading
Look for pullbacks when the trend is in a stable condition and the slow oscillator remains consistently near the upper or lower threshold. Watch for moments when the fast oscillator retraces back toward the midline, or slightly above/below it — this often signals a potential pullback entry in the direction of the prevailing trend.
█ Settings Explained
Length (Slow Trend Oscillator) – Used in calm conditions. Longer = smoother signals
Length (Fast Trend Oscillator) – Used in volatile conditions. Shorter = more responsive
Volatility Refit Interval – Controls how often the system recalculates Low/High volatility levels
Current Volatility Period – Lookback used for immediate volatility measurement
Volatility Smoothing Length – Applies an SMA to the raw volatility to reduce noise
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
1-Candle Order Block DetectorThis simple indicator is based on the 1-Candle rule. During an impulsive move toward the upside or downside, an order block is plotted based on a single down-closed or up-closed candle.
Inputs can be easily customized based on preferences or strength of trend filtering.
UNITED TRADING COMMUNITY WaterMarkWATER MARK indicator. Will allow you to improve the order of the entries you need on the chart.
1. Name and date for the traded instrument
2. Watermarks to protect your charts (in the center and around the perimeter of the chart)
3. The new "notes" option will allow you to keep focus on the factors that are important to you on the chart.
Very flexible settings for any notes, labels, watermarks on the chart that are important to you.
Индикатор WATER MARK . Даст возможность вам улучшить порядок нужных вам записей на графике.
1. Название и дата для торгуемого инструмента
2. Водные знаки для защиты ваших графиков ( в центре и по периметру графика)
3. Новая опция "заметки" позволит вам держать фокус на важных для вас факторах на графике.
Очень гибкая настройка , любых значимых для вас заметок , лейблов , вотермарк на графике.
Chandelier Exit 優化版//@version=5
indicator('Chandelier Exit 優化版', shorttitle='CE優化', overlay=true)
var string calcGroup = 'Calculation'
length = input.int(title='ATR週期', defval=22, group=calcGroup)
mult = input.float(title='ATR倍數', step=0.1, defval=3.0, group=calcGroup)
useClose = input.bool(title='使用收盤價計算高低點', defval=true, group=calcGroup)
var string visualGroup = '視覺設定'
showLabels = input.bool(title='顯示買/賣標籤', defval=true, group=visualGroup)
highlightState = input.bool(title='高亮趨勢區域', defval=true, group=visualGroup)
var string alertGroup = '警報設定'
awaitBarConfirmation = input.bool(title="等待K棒收定再確認訊號", defval=false, group=alertGroup)
atr = mult * ta.atr(length)
longStop = (useClose ? ta.highest(close, length) : ta.highest(length)) - atr
longStopPrev = nz(longStop , longStop)
longStop := close > longStopPrev ? math.max(longStop, longStopPrev) : longStop
shortStop = (useClose ? ta.lowest(close, length) : ta.lowest(length)) + atr
shortStopPrev = nz(shortStop , shortStop)
shortStop := close < shortStopPrev ? math.min(shortStop, shortStopPrev) : shortStop
var int dir = 1
dir := close > shortStopPrev ? 1 : close < longStopPrev ? -1 : dir
var color longColor = color.green
var color shortColor = color.red
var color longFillColor = color.new(color.green, 90)
var color shortFillColor = color.new(color.red, 90)
var color textColor = color.white
longStopPlot = plot(dir == 1 ? longStop : na, title='多方停損', style=plot.style_linebr, linewidth=2, color=longColor)
buySignal = dir == 1 and dir == -1
plotshape(buySignal ? longStop : na, title='買進訊號', location=location.absolute, style=shape.circle, size=size.tiny, color=longColor)
plotshape(buySignal and showLabels ? longStop : na, title='買標籤', text='買', location=location.absolute, style=shape.labelup, size=size.tiny, color=longColor, textcolor=textColor)
shortStopPlot = plot(dir == 1 ? na : shortStop, title='空方停損', style=plot.style_linebr, linewidth=2, color=shortColor)
sellSignal = dir == -1 and dir == 1
plotshape(sellSignal ? shortStop : na, title='賣出訊號', location=location.absolute, style=shape.circle, size=size.tiny, color=shortColor)
plotshape(sellSignal and showLabels ? shortStop : na, title='賣標籤', text='賣', location=location.absolute, style=shape.labeldown, size=size.tiny, color=shortColor, textcolor=textColor)
midPricePlot = plot(ohlc4, title='', style=plot.style_circles, linewidth=0, display=display.none, editable=false)
longStateFillColor = highlightState ? dir == 1 ? longFillColor : na : na
shortStateFillColor = highlightState ? dir == -1 ? shortFillColor : na : na
fill(midPricePlot, longStopPlot, title='多方區域', color=longStateFillColor)
fill(midPricePlot, shortStopPlot, title='空方區域', color=shortStateFillColor)
await = true // 立即通知快訊，無需等K棒收定
alertcondition(dir != dir and await, title='警報: 趨勢改變', message='Chandelier Exit 趨勢改變！')
alertcondition(buySignal and await, title='警報: 買進訊號', message='Chandelier Exit 買進訊號！')
alertcondition(sellSignal and await, title='警報: 賣出訊號', message='Chandelier Exit 賣出訊號！')
Premium Lux AlgoCombining multiple indicators to receive buy and sell signals and create support and resistance levels and cloud space
Global Liquidity IndexThis indicator tracks worldwide liquidity by aggregating the sum of the global M2 money supply, and major central bank balance sheets and subtracting the U.S. Treasury General Account (TGA), the Federal Reserve’s Reverse Repo (RRP) facility. It offers insight into the overall liquidity environment, often a key driver of risk asset performance.
Custom MACD//@version=5
indicator("Custom MACD", overlay=false)
fastLength = input.int(8, title="Fast EMA Length")
slowLength = input.int(21, title="Slow EMA Length")
signalSmoothing = input.int(5, title="Signal Smoothing")
= ta.macd(close, fastLength, slowLength, signalSmoothing)
plot(macdLine, color=color.blue, title="MACD Line")
plot(signalLine, color=color.red, title="Signal Line")
plot(histLine, style=plot.style_histogram, color=histLine >= 0 ? color.green : color.red, title="Histogram")
