CISD [TakingProphets]🧠 Indicator Purpose:
The "CISD - Change in State of Delivery" is a precision tool designed for traders utilizing ICT (Inner Circle Trader) conecpets. It detects critical shifts in delivery conditions after liquidity sweeps — helping you spot true smart money activity and optimal trade opportunities. This script is especially valuable for traders applying liquidity concepts, displacement recognition, and market structure shifts at both intraday and swing levels.
🌟 What Makes This Indicator Unique:
Unlike basic trend-following or scalping tools, CISD operates through a two-phase smart money logic:
Liquidity Sweep Detection (sweeping Buyside or Sellside Liquidity).
State of Delivery Change Identification (through bearish or bullish displacement after the sweep).
It intelligently tracks candle sequences and only signals a CISD event after true displacement — offering a much deeper context than ordinary indicators.
⚙️ How the Indicator Works:
Swing Point Detection: Identifies recent pivot highs/lows to map Buyside Liquidity (BSL) and Sellside Liquidity (SSL) zones.
Liquidity Sweeps: Watches for price breaches of these liquidity points to detect institutional stop hunts.
Sequence Recognition: Finds series of same-direction candles before sweeps to mark institutional accumulation/distribution.
Change of Delivery Confirmation: Confirms CISD only after significant displacement moves price against the initial candle sequence.
Visual Markings: Automatically plots CISD lines and optional labels, customizable in color, style, and size.
🎯 How to Use It:
Identify Liquidity Sweeps: Watch for CISD levels plotted after a liquidity sweep event.
Plan Entries: Look for retracements into CISD lines for high-probability entries.
Manage Risk: Use CISD levels to refine your stop-loss and profit-taking zones.
Best Application:
After stop hunts during Killzones (London Open, New York AM).
As part of the Flow State Model: identify higher timeframe PD Arrays ➔ wait for lower timeframe CISD confirmation.
🔎 Underlying Concepts:
Liquidity Pools: Highs and lows cluster stop orders, attracting institutional sweeps.
Displacement: Powerful price moves post-sweep confirm smart money involvement.
Market Structure: CISD frequently precedes major Change of Character (CHoCH) or Break of Structure (BOS) shifts.
🎨 Customization Options:
Adjustable line color, width, and style (solid, dashed, dotted).
Optional label display with customizable color and sizing.
Line extension settings to keep CISD zones visible for future reference.
✅ Recommended for:
Traders studying ICT Smart Money Concepts.
Intraday scalpers and higher timeframe swing traders.
Traders who want to improve entries around liquidity sweeps and institutional displacement moves.
🚀 Bonus Tip:
For maximum confluence, pair this with the HTF POI, ICT Liquidity Levels, and HTF Market Structure indicators available at TakingProphets.com! 🔥
Cerca negli script per "scalp"
SMT SwiftEdge PowerhouseSMT SwiftEdge Powerhouse: Precision Trading with Divergence, Liquidity Grabs, and OTE Zones
The SMT SwiftEdge Powerhouse is a powerful trading tool designed to help traders identify high-probability entry points during the most active market sessions—London and New York. By combining Smart Money Technique (SMT) Divergence, Liquidity Grabs, and Optimal Trade Entry (OTE) Zones, this script provides a unique and cohesive strategy for capturing market reversals with precision. Whether you're a scalper or a swing trader, this indicator offers clear visual signals to enhance your trading decisions on any timeframe.
What Does This Script Do?
This script integrates three key concepts to identify potential trading opportunities:
SMT Divergence:
SMT Divergence compares the price action of two correlated assets (e.g., Nasdaq and S&P 500 futures) to detect hidden market reversals. When one asset makes a higher high while the other makes a lower high (bearish divergence), or one makes a lower low while the other makes a higher low (bullish divergence), it signals a potential reversal. This technique leverages institutional "smart money" behavior to anticipate market shifts.
Liquidity Grabs:
Liquidity Grabs occur when price breaks above recent highs or below recent lows on higher timeframes (5m and 15m), often triggering stop-loss orders from retail traders. These breakouts are identified using pivot points and confirm institutional activity, setting the stage for a reversal. The script focuses on liquidity grabs during the London and New York sessions for maximum market activity.
Optimal Trade Entry (OTE) Zones:
OTE Zones are Fibonacci-based retracement areas (e.g., 61.8%) calculated after a liquidity grab. These zones highlight where price is likely to retrace before continuing in the direction of the reversal, offering a high-probability entry point. The script adjusts the width of these zones using the Average True Range (ATR) to adapt to market volatility.
By combining these components, the script identifies when institutional activity (liquidity grabs) aligns with market reversals (SMT divergence) and pinpoints precise entry points (OTE zones) during high-liquidity sessions.
Why Combine These Components?
The integration of SMT Divergence, Liquidity Grabs, and OTE Zones creates a robust trading system for several reasons:
Synergy of Institutional Signals: SMT Divergence and Liquidity Grabs both reflect "smart money" behavior—divergence shows hidden reversals, while liquidity grabs confirm institutional intent to trap retail traders. Together, they provide a strong foundation for identifying high-probability setups.
Session-Based Precision: Focusing on the London and New York sessions ensures signals occur during periods of high volatility and liquidity, increasing their reliability.
Precision Entries with OTE: After confirming a setup with divergence and liquidity grabs, OTE zones provide a clear entry area, reducing guesswork and improving trade accuracy.
Adaptability: The script works on any timeframe, with adjustable settings for signal sensitivity, session times, and Fibonacci levels, making it versatile for different trading styles.
This combination makes the script unique by aligning institutional insights with actionable entry points, tailored to the most active market hours.
How to Use the Script
Setup:
Add the script to your chart (works on any timeframe, e.g., 1m, 5m, 15m).
Configure the settings in the indicator's inputs:
Session Settings: Adjust the start/end times for London and New York sessions (default: London 8-11 UTC, New York 13-16 UTC). You can disable session restrictions if desired.
Asset Settings: Set the primary and secondary assets for SMT Divergence (default: NQ1! and ES1!). Ensure the assets are correlated.
Signal Settings: Adjust the lookback period, ATR period, and signal sensitivity (Low/Medium/High) to control the frequency of signals.
OTE Settings: Choose the Fibonacci level for OTE zones (default: 61.8%).
Visual Settings: Enable/disable OTE zones, SMT labels, and debug labels for troubleshooting.
Interpreting Signals:
Blue Circles: Indicate a liquidity grab (price breaking a 5m or 15m pivot high/low), marking the start of a potential setup.
Blue OTE Zones: Appear after a liquidity grab, showing the retracement area (e.g., 61.8% Fibonacci level) where price is likely to enter for a reversal trade. The label "OTE Trigger 5m/15m" confirms the direction (Short/Long) and session.
Green/Red Entry Boxes: Mark precise entry points when price enters the OTE zone and confirms the SMT Divergence. Green boxes indicate a long entry, red boxes a short entry.
Trading Example:
On a 1m chart, a blue circle appears when price breaks a 5m pivot high during the London session.
A blue OTE zone forms, showing a retracement area (e.g., 61.8% Fibonacci level) with the label "OTE Trigger 5m/15m (Short, London)".
Price retraces into the OTE zone, and a red "Short Entry" box appears, confirming a bearish SMT Divergence.
Enter a short trade at the red box, with a stop-loss above the OTE zone and a take-profit at the next support level.
Originality and Utility
The SMT SwiftEdge Powerhouse stands out by merging SMT Divergence, Liquidity Grabs, and OTE Zones into a single, session-focused indicator. Unlike traditional indicators that focus on one aspect of price action, this script combines institutional reversal signals with precise entry zones, tailored to the most active market hours. Its adaptability across timeframes, customizable settings, and clear visual cues make it a versatile tool for traders seeking to capitalize on smart money movements with confidence.
Tips for Best Results
Use on correlated assets like NQ1! (Nasdaq futures) and ES1! (S&P 500 futures) for accurate SMT Divergence.
Test on lower timeframes (1m, 5m) for scalping or higher timeframes (15m, 1H) for swing trading.
Adjust the "Signal Sensitivity" to "High" for more signals or "Low" for fewer, high-quality setups.
Enable "Show Debug Labels" if signals are not appearing as expected, to troubleshoot pivot points and liquidity grabs.
Trend Matrix Multi-Timeframe Dashboard(TechnoBlooms)Trend Matrix Multi-Timeframe Dashboard is a Minimalist Multi-Timeframe Trend Analyzer with Smart Indicator Integration. Trend Matrix MTF Dashboard is a clean, efficient, and visually intuitive trend analyzer built for traders who value simplicity without compromising on technical depth.
This dashboard empowers you to track trend direction across multiple timeframes using a curated set of powerful technical indicators—all from one compact visual panel. The design philosophy is simple: eliminate clutter, highlight trend clarity, and accelerate your decision-making process.
Key Features
✅ Minimalist Design with Maximum Insight
A compact dashboard view designed for clean charts and focused trading
Optimized layout shows everything you need—nothing you don’t
✅ Multi-Timeframe Access at a Glance
Instantly read the trend direction of selected indicators on multiple timeframes (e.g., 15m, 1h, 4h, 1D)
Customize the timeframe stack to fit scalping, intraday, swing, or positional strategies
✅ Robust Technical Indicators Built In
Each one is hand-picked for trend reliability:
MACD – Momentum and crossover confirmation
RSI – Overbought/oversold and directional shift
EMA – Dynamic support/resistance and trend bias
Bollinger Bands – Volatility structure and trend containment
PVT – Volume-Weighted Trend Confirmation
Supertrend – Price-following trend tracker
✅ Live Updates & Lightweight Performance
Built to update efficiently on every bar close
Minimal performance impact even with multiple timeframes active
By offering multi-timeframe (MTF) access to proven trend-following indicators, Trend Matrix helps you confidently align with the market’s dominant direction—without jumping between charts or analyzing indicators one by one.
This indicator offers customizable settings. The trader can choose the input parameters timeframes as per the choice.
Trend Matrix Multi-Timeframe Dashboard helps traders to identify trend based on technical indications. Trader can refer this while taking trading decisions.
🧠 Ideal For
Scalpers who need higher timeframe confirmation
Swing traders identifying clean entries aligned with the macro trend
Trend followers seeking clarity before committing capital
Price action & SMC traders validating market structure setups
Beginners who want a high-level trend guide without messy indicators
RSI VWAP POC [Uncle Sam Trading]Category: Oscillators, Volume, Market Profile
Timeframe: Suitable for all timeframes
Markets: Crypto, Forex, Stocks, Commodities
Overview
The RSI VWAP POC indicator is a powerful and innovative oscillator that combines the Relative Strength Index (RSI), Volume-Weighted Average Price (VWAP), and Point of Control (POC) from market profile analysis. Designed to provide traders with clear, high-probability trading signals, this indicator helps you identify key market levels, spot overbought/oversold conditions, and time your entries and exits with precision. Whether you’re a day trader, swing trader, or scalper, this free tool adds significant value to your trading strategy by offering a unique blend of momentum, volume, and market profile insights.
How It Works
This indicator integrates three core components to deliver actionable insights:
RSI (Relative Strength Index): Measures momentum to identify overbought (above 70) and oversold (below 30) conditions, helping you anticipate potential reversals.
VWAP (Volume-Weighted Average Price): Calculates a volume-weighted price benchmark, which is used to compute a more accurate, volume-sensitive RSI. This ensures the indicator reflects true market dynamics.
POC (Point of Control): Derived from market profile analysis, the POC represents the price level with the highest traded volume in a session, acting as a critical support or resistance level.
The indicator plots a smoothed RSI based on VWAP, overlaid with market profile data on a user-defined higher timeframe (default: 4H). The POC is displayed as a red line, with aqua bars indicating the value area where the majority of trading volume occurred. When the RSI crosses the POC, the indicator generates clear buy and sell signals:
Strong Buy (SBU): RSI crosses above the POC in an oversold zone.
Strong Sell (SBD): RSI crosses below the POC in an overbought zone.
Additional features include:
Background colors to highlight bullish (green) or bearish (red) trends.
Shaded zones for overbought (70/60) and oversold (30/40) levels.
Customizable settings to fit your trading style and timeframe.
How This Indicator Adds Value
The RSI VWAP POC indicator offers several key benefits that enhance your trading performance:
High-Probability Signals: By combining RSI, VWAP, and POC, this indicator identifies trades at key market levels where price is likely to react, increasing your win rate.
Improved Timing: Clear buy and sell signals, such as ‘SBU’ and ‘SBD’, help you enter and exit trades at optimal points, maximizing profitability.
Risk Management: Overbought/oversold zones and trend confirmation via background colors help you avoid false signals, protecting your capital.
Versatility: Suitable for all markets (crypto, forex, stocks) and timeframes, making it a valuable tool for traders of all experience levels.
Time Efficiency: The indicator does the heavy lifting by analyzing momentum, volume, and market profile data, allowing you to focus on executing trades.
Real-World Performance Example: On a 1-hour Bitcoin chart with a 4-hour higher timeframe, this indicator identified a strong sell signal on April 6th at 12:00 ($82,000), leading to a 9% drop to $74,600. A subsequent strong buy signal on April 7th at 04:00 ($76,200) captured a 6% rise to $81,200 – a potential 25% profit with 5x leverage if exited at 5%.
How to Use
Add the Indicator: Search for “RSI VWAP POC ” in TradingView’s indicator library and add it to your chart.
Set Your Timeframe: The indicator works on any timeframe but is optimized for a 1-hour chart with a 4-hour higher timeframe (set in the settings).
Interpret Signals:
Look for ‘SBU’ (strong buy) labels when the RSI crosses above the POC in an oversold zone, indicating a potential buying opportunity.
Look for ‘SBD’ (strong sell) labels when the RSI crosses below the POC in an overbought zone, signaling a potential selling opportunity.
Use the background colors (green for bullish, red for bearish) to confirm the trend.
Combine with Your Strategy: Use the indicator alongside your existing analysis (e.g., support/resistance, candlestick patterns) for best results.
Settings and Customization
The indicator is highly customizable to suit your trading needs:
RSI Length (Default: 14): Adjust the sensitivity of the RSI. Use a shorter length (e.g., 10) for scalping, or a longer length (e.g., 20) for smoother signals.
EMA Smoothing Length (Default: 3): Smooths the RSI line. Increase to 5 or 7 for less choppy signals in volatile markets.
Higher Timeframe (Default: 240 minutes): Set to 240 (4 hours) for a 1-hour chart. Adjust based on your chart’s timeframe (e.g., 60 minutes for a 15-minute chart).
Value Area Percentage (Default: 100%): Defines the size of the value area around the POC. Lower to 70% for a tighter focus on key levels.
Overbought/Oversold Thresholds (Defaults: 70/30): Adjust these levels to match market conditions (e.g., 80/20 for trending markets).
Show POC Line (Default: True): Toggle the red POC line on or off.
Show Buy/Sell Signals: Enable ‘Show Strong Breakup Signals’ and ‘Show Strong Breakdown Signals’ to focus on high-probability trades.
Why Choose This Indicator?
The RSI VWAP POC indicator stands out by offering a unique combination of momentum, volume, and market profile analysis in a single, easy-to-use tool. It’s designed to help traders of all levels make informed decisions, reduce risk, and increase profitability. Whether you’re trading Bitcoin, forex pairs, or stocks, this indicator provides the clarity and precision you need to succeed.
Auto Draw ToolAuto Draw Tool for TradingView – Trend, Support/Resistance & Fibonacci Indicator ( HIMANSHU AGNIHOTRY)
The Auto Draw Tool is a powerful TradingView indicator that automatically detects trend lines, support & resistance levels, and Fibonacci retracement zones. It helps traders identify key price levels and market trends without manual effort.
🔹 Features
✔ Automatic Support & Resistance Detection – Finds the strongest price levels based on past highs and lows
✔ Trend Line Auto-Plotting – Detects market trends using swing highs and lows
✔ Fibonacci Retracement Levels – Highlights key retracement points for potential reversals
✔ Candlestick Pattern Detection – Identifies bullish and bearish engulfing patterns
✔ Background Alerts for Patterns – Highlights candlestick patterns with color-coded backgrounds
✔ Works on Any Timeframe – Suitable for scalping, swing trading, and long-term investing
🛠 How It Works?
Support & Resistance Levels: The script calculates the highest and lowest price levels within a given lookback period.
Trend Line Identification: It detects swing highs and swing lows to draw automatic trend lines.
Fibonacci Retracement: The script marks important Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) for potential entry and exit points.
Engulfing Candlestick Patterns: It recognizes bullish engulfing and bearish engulfing patterns, which indicate strong buying or selling pressure.
Alerts & Background Highlighting: When an engulfing pattern is detected, the background color changes (green for bullish, red for bearish).
🔔 Alerts & Signals
🚀 Bullish Engulfing Detected: Green background & buy signal alert
🚀 Bearish Engulfing Detected: Red background & sell signal alert
🎯 Who Can Use It?
✅ Day Traders & Scalpers – Quickly identify key price action levels
✅ Swing Traders – Find strong support/resistance and Fibonacci retracement areas
✅ Trend Followers – Confirm trend direction with auto-drawn trend lines
✅ Price Action Traders – Get real-time candlestick pattern alerts
Zen ABR### **Average Bar Range (ABR) Levels** – A Simple Yet Powerful Scalping Tool
The **ABR Levels** indicator dynamically calculates the **average bar range** and plots three key levels on your chart:
✅ **0.5x ABR** – Half the average bar range
✅ **1x ABR** – The full average bar range
✅ **2x ABR** – Double the average bar range
This provides an **instant volatility gauge**, helping traders adjust position size, stop losses, and targets **based on current market conditions** rather than arbitrary numbers.
### **How It Works**
- The indicator calculates **the average range of the last 8 bars** (default setting, adjustable).
- The **ABR levels update in real time**, appearing in the **top-right corner of your chart** for easy reference.
- Works across **any instrument and timeframe** – great for scalpers and intraday traders.
### **Why Use ABR Levels?**
🚀 **Avoid oversized losses** – Trade dynamically instead of using fixed stops and targets.
📉 **Recognize shifts in market conditions** – Identify when volatility is expanding or contracting.
🎯 **Refine your entries & exits** – Use ABR levels to **scale** your positions intelligently.
### **Pro Tip:**
Never enter a trade **aiming for half-R** profits. If a trade goes badly, **you might manage it to break even or half-R**, but aiming for tiny wins will **wreck your long-term edge**.
🔹 **This script is open-source!** If you're not on TradingView, you can copy the code into any AI tool to generate it for your platform. 🚀
Uwen FX: UWEN StrategyThis Pine Script defines a trading indicator called "Uwen FX: UWEN Strategy" Where ideas coming from Arab Syaukani and modified by Fiki Hafana. It combines a CCI-based T3 Smoothed Indicator with a MACD overlay. Here's a breakdown of what it does:
Key Components of the Script:
1. CCI (Commodity Channel Index) with T3 Smoothing
Uses a T3 smoothing algorithm on the CCI to generate a smoother momentum signal. The smoothing formula is applied iteratively using weighted averages. The final result (xccir) is plotted as a histogram, colored green for bullish signals and red for bearish signals.
2. MACD (Moving Average Convergence Divergence)
The MACD is scaled to match the range of the smoothed CCI for better visualization. Signal Line and MACD Line are plotted if showMACD is enabled. The normalization ensures that MACD values align with the CCI-based indicator.
3. Bar Coloring for Trend Indication
Green bars indicate a positive trend (pos = 1).
Red bars indicate a negative trend (pos = -1).
Blue bars appear when the trend is neutral.
How It Can Be Used:
Buy Signal: When the xccir (smoothed CCI) turns green, indicating bullish momentum.
Sell Signal: When xccir turns red, indicating bearish momentum.
MACD Confirmation: Helps confirm the trend direction by aligning with xccir.
I will add more interesting features if this indicator seems profitable
Multi timeframe RSIMulti-Timeframe RSI Indicator
This indicator displays the Relative Strength Index (RSI) from multiple timeframes—1 minute, 5 minutes, 15 minutes, and 30 minutes—on a single chart. Designed for intraday scalpers and short-term traders, it provides a comprehensive view of momentum across different timeframes, helping traders make more informed decisions.
✨ Why Use This Indicator?
✔ Enhanced Confirmation – Identify trends and momentum shifts with RSI signals from multiple timeframes.
✔ Perfect for Scalping & Intraday Trading – Quickly spot overbought/oversold conditions across different timeframes.
✔ Multi-Timeframe Confluence – Align entries and exits with stronger confirmation by analyzing RSI across short-term charts.
✔ Customizable & Easy to Use – Adjust RSI settings to suit your trading style.
This is a must-have tool for traders looking to refine their entries and exits with a multi-timeframe perspective! 🚀
Dynamic SL - 1 Pip (Up and Down)The Dynamic SL - 1 Pip Up and Down indicator creates two dynamic lines that follow the price at a distance of 1 pip above and below the closing price. This feature can be particularly useful for traders who want to visualize small stop-loss (SL) levels or track price movement in a highly responsive manner.
Unlike traditional stop-loss indicators, this script ensures that the lines only last for 5 seconds, keeping the chart clean and focusing only on the most relevant price movement.
Key Features
✔ Dynamic Stop-Loss Visualization:
The script draws a green line above the price (+1 pip).
A red line below the price (-1 pip) is also drawn.
✔ Auto-Clearing for a Clean Chart:
Each line lasts for 5 seconds only before automatically disappearing.
This prevents unnecessary clutter on the chart and ensures only the latest price movements are visualized.
✔ Adaptable to Multiple Assets:
Automatically calculates the pip size based on the instrument type:
Forex → Uses 0.0001 per pip.
Futures & Stocks → Uses the minimum tick size.
✔ Ideal for High-Frequency Traders & Scalpers:
Designed for 1-minute (M1) or lower timeframes where traders need to monitor price action closely.
Helps visualize ultra-tight stop-loss levels in scalping strategies.
[volfgang] Pivot Levels (Open, Close, High, Low)This script provides a clear and consistent way to track key price levels from Weekly and Daily bars, directly on your current chart interval.
The default colours are;
Today & This Week Open = White
Yesterday & Previous Week Open = Cream
Yesterday's High = Red
Yesterday's Low = Green
Weekly Pivots are 2px, and Daily Pivots are 1px.
Instead of requiring manual referencing of daily or weekly charts, these significant levels are automatically drawn and updated in real time, extending to the right as new bars form.
It adds value by helping traders quickly identify potential support/resistance zones and compare intraday price action with higher-timeframe pivots. This approach can aid in scalping, day trading, or swing trading strategies that rely on past price levels for trade entries, exits, or stop loss placement.
Daily Pivots Displayed Intraday
The script imports the previous day’s High, Low, Open, and Close and draws lines on the current chart, so you can see exactly where those levels lie on any intraday timeframe. You can easily change the colour of these lines in the menu.
Instead of switching between multiple charts for daily references, you can keep an intraday chart open and still watch how price behaves around these important daily pivots.
Weekly Pivots for Broader Context
In addition to daily levels, it also shows the previous week’s Open and Close. This feature helps traders who want to maintain a broader perspective and gauge the market’s weekly trend or bias while remaining on lower timeframes.
Automatic Line & Label Management
Each new trading day triggers a “session change” in the code, prompting the script to delete old lines and labels for daily levels. This keeps your chart from getting cluttered with outdated lines.
Weekly lines and labels follow the same approach, ensuring only the most recent weekly levels are highlighted.
Real-Time Extension
Lines are continuously extended to the right as new bars print, ensuring that you always have an updated view of your key price levels without any manual adjustments.
On the last bar, the script shifts to a time-based coordinate system for seamless visual extension.
Minimal Recalculation
This script uses security() calls in a carefully optimized way to reduce unnecessary recalculations and avoid repaint issues. By referencing open , close , etc., the lines remain fixed once the daily (or weekly) candle is confirmed.
Flexible Usage
You can apply this script to any symbol on TradingView. It’s especially beneficial for Forex pairs, indices, futures, or cryptocurrencies where you want to track significant past levels.
If you’re a scalper looking for areas of likely reaction, or a swing trader watching weekly opens for trend confirmation, these levels can be integral to your technical approach.
How to Use
Add to Chart: Click the “Add to Favorite Indicators” or “Apply to Chart” button once published.
Enable or Disable Previous Day Bars: Use the script’s input to toggle the display of previous day’s High, Low, Open, and Close lines if you only want weekly lines (or vice versa).
Customize Visuals: You can change line colors, width, and label text in the “Style” or “Inputs” tab. Adjust them to fit your preferred color scheme.
Interpretation:
Daily levels typically carry relevance for the next trading session. They can be used for intraday support/resistance, breakout checks, or gap fills.
Weekly levels help identify more prominent zones for bigger moves or for understanding overall sentiment from the prior week.
Conceptual Underpinnings
Support/Resistance: Past opens/closes often act as support or resistance because they represent important points of reference (where trading started or ended during a prior session).
Market Psychology: Many traders watch daily or weekly closes to gauge momentum and bias, which can become self-fulfilling as more participants join around those levels.
Improved Situational Awareness: By having these levels automatically drawn and updated, traders avoid missing critical areas where price may pivot.
This script is intentionally open-source to help traders study and personalize it.
By merging daily and weekly pivot concepts in a single script, it provides a convenient and efficient tool—rather than a simple mashup, it unifies two timeframes that are crucial in short-term and medium-term trading decisions.
Remember that these levels alone do not constitute a complete trading system; they are best used as part of a broader strategy involving risk management, additional technical signals, and market context.
ENIGMA Signals with Retests Select higher Time FrameENIGMA Signals with Retests – Script Description
The "ENIGMA Signals with Retests" script is a unique indicator designed for traders who prefer precision trading based on price action retests of key levels derived from higher timeframes. This tool is ideal for those employing multi-timeframe analysis strategies, helping them detect high-probability trade entries when the price interacts with significant support and resistance levels.
What Does This Script Do?
This indicator identifies key levels from a higher timeframe selected by the user (e.g., 4-hour or daily), then tracks price action on lower timeframes to provide actionable buy and sell signals when the price retests these levels. It visually plots the key levels on the chart and triggers alerts for potential trade opportunities when conditions are met.
How It Works
Key Level Detection:
The script uses custom functions to detect recent swing highs and swing lows on the selected higher timeframe (such as 4H or Daily). These levels represent potential areas of support and resistance where price reactions are likely to occur.
Multi-Timeframe Analysis:
The indicator leverages the request.security() function to retrieve price data from the user-defined higher timeframe and plots horizontal lines on the chart for the most recent swing highs and lows.
Retest-Based Signals:
Once the key levels are plotted, the script continuously monitors the price on the lower timeframe:
A Buy Signal is triggered when the price closes below a key high level and then moves back above it, indicating a potential bullish retest.
A Sell Signal is triggered when the price closes above a key low level and then moves back below it, indicating a potential bearish retest.
These retest signals are displayed as green and red arrows on the chart, helping traders identify optimal entry points.
Alerts for Retests:
The script includes built-in alert conditions that notify traders when a valid retest signal occurs. This allows traders to react promptly without constantly monitoring the chart.
How to Use the Script
Select Your Key Timeframe:
From the input settings, choose a higher timeframe that suits your trading style (e.g., 4H for intraday trading or Daily for swing trading).
Adjust Visual Preferences:
Customize the line style (solid, dashed, or dotted) and length of the plotted levels.
Toggle labels for the levels on or off as per your preference.
Trade Execution:
Once a retest signal appears on the lower timeframe, consider entering a trade in the direction of the signal. The buy signal suggests a potential long entry, while the sell signal indicates a potential short entry.
Set Alerts:
Use the alert conditions provided to get notified whenever a valid retest occurs. This helps in reducing screen time and improving trading efficiency.
Underlying Concepts
This script is grounded in the principles of support and resistance, retests, and breakout trading. By focusing on multi-timeframe key levels, it aligns with widely used trading concepts like:
Breakout and Retest: Entering trades after a confirmed breakout and successful retest of a significant level.
Swing Highs and Lows: Recognizing swing points to identify strong price reaction zones.
Multi-Timeframe Confluence: Enhancing trade probability by ensuring that the signals on lower timeframes correspond with key levels from higher timeframes.
Why This Script Is Unique
Unlike many generic trend-following or scalping indicators, "ENIGMA Signals with Retests" offers:
Precision Signals: It only provides signals when specific retest conditions are met, reducing false signals and noise.
Multi-Timeframe Customization: Users can tailor the higher timeframe to their strategy, making it versatile for various trading styles.
Alert Functionality: Alerts are integrated, allowing traders to stay updated without constantly monitoring the charts.
This script is perfect for traders looking for a systematic way to trade retests of key levels across multiple timeframes. Whether you're a scalper, day trader, or swing trader, "ENIGMA Signals with Retests" can help improve your precision and timing in the market.
ADR Table BY @ICT_YEROADR Table BY @ICT_YERO
Created by: @ICT_YERO
This custom indicator is designed to provide the Average Daily Range (ADR) for multiple timeframes, including Daily, 4-Hour, and 1-Hour. The indicator is tailored to assist traders in understanding price volatility and making informed trading decisions.
Key Features
Multi-Timeframe ADR Calculation:
Automatically calculates and displays the ADR for Daily, 4-Hour, and 1-Hour timeframes.
Helps traders identify potential price movement ranges for different trading sessions.
Dynamic Range Visualization:
Clear visual representation of the ADR on the chart, making it easy to spot price extremes.
Real-time updates to reflect changes in price movement.
Custom Alerts:
Option to set alerts when the price approaches the ADR high or low.
Useful for identifying potential reversal zones or breakout opportunities.
User-Friendly Interface:
Simple and intuitive settings to customize colors, levels, and display preferences.
Seamlessly integrates with your existing TradingView setup.
ICT-Inspired Methodology:
Designed for traders who follow ICT concepts, focusing on precision and high-probability setups.
Applications
Range Trading: Helps determine the high and low boundaries for scalping or intraday setups.
Volatility Analysis: Understand market behavior during different times of the day or week.
Reversal Zones: Identify areas where price is likely to reverse, based on ADR extremes.
Whether you're a scalper, day trader, or swing trader, this indicator provides a comprehensive overview of price volatility across multiple timeframes, making it an essential tool for your trading arsenal.
StdDev of VWAP/MAStdDev Indicator (MA, Smoothed VWAP & Rolling VWAP) v5
Overview: The StdDev Indicator is a comprehensive tool designed to provide traders with multi-term deviation analysis by integrating various Moving Averages (MA) and Volume Weighted Average Price (VWAP) methodologies. This indicator combines different MA types and VWAP calculations across multiple timeframes to offer a nuanced view of market volatility and trend strength.
Key Features:
Multiple Moving Average Types:
Simple Moving Average (SMA): Calculates the average price over a specified period, providing a straightforward trend indicator.
Exponential Moving Average (EMA): Gives more weight to recent prices, making it more responsive to new information.
Weighted Moving Average (WMA): Assigns different weights to each price point, emphasizing specific periods.
Smoothed VWAP: Enhances the traditional VWAP by applying additional smoothing techniques (SMA, EMA, WMA) to reduce volatility.
Rolling VWAP: Continuously recalculates VWAP over a rolling window, offering dynamic support and resistance levels.
Multi-Term Deviation Analysis:
Extra Short Term (30 periods)
Short Term (50 periods)
Medium Term (110 periods)
Long Term (125 periods)
Extra-Long Term (190 periods)
Extremely-Long Term (245 periods)
Each term calculates the deviation of the selected price source (default: Low) from its corresponding MA or VWAP, normalized by the standard deviation. This multi-term approach allows traders to assess volatility and trend consistency across different time horizons.
Composite Upper and Lower Bounds:
Aggregates the upper and lower deviations from all terms to form composite boundaries. These bounds serve as dynamic support and resistance levels, helping traders identify potential reversal points or breakout zones.
Timeframe Customization:
Visibility Settings: Customize which deviation terms are visible on specific timeframes (15m, 1h, 4h, 1d, 1w). This flexibility ensures that the indicator aligns with your trading strategy, whether you're a scalper, day trader, or long-term investor.
Bar Coloring (Optional):
Visual Cues: When enabled, bars are color-coded based on the deviation levels, providing immediate visual feedback on market conditions. For example, bars may turn red when short-term deviations exceed the upper bound, indicating potential overbought conditions.
How It Works:
Deviation Calculation:
For each selected MA or VWAP type and term length, the indicator calculates the deviation of the current price source from the MA/VWAP. This deviation is normalized by the standard deviation to account for volatility.
Channel Offset:
Applies a linear regression and standard deviation to the deviation series to establish upper and lower channels. These channels are adjustable via multipliers, allowing traders to set their sensitivity levels.
Composite Boundaries:
Averages the upper and lower channels across all deviation terms to form composite upper and lower bounds. These bounds provide a holistic view of market volatility and trend strength.
Visualization:
Plots individual deviation lines for each term, along with the composite bounds. Optional bar coloring enhances visual interpretation, making it easier to spot significant market movements.
Usage Instructions:
Setup:
Add the StdDev Indicator to your TradingView chart. By default, it uses the Low price as the source, but this can be customized.
Configuration:
Moving Average Type: Select your preferred MA or VWAP type from the dropdown menu.
Term Lengths: Adjust the lengths for each deviation term as per your trading strategy.
StdDev Multipliers: Set the multipliers for the upper and lower bounds to control sensitivity.
Timeframe Visibility: Choose which deviation terms are visible on specific timeframes to tailor the indicator to your trading style.
Bar Coloring: Enable or disable bar coloring based on deviation thresholds for enhanced visual cues.
Interpretation:
Deviations: Monitor the deviation lines to assess overbought or oversold conditions across different terms.
Composite Bounds: Use the upper and lower bounds as dynamic support and resistance levels.
Bar Colors: Quickly identify significant market movements through color-coded bars.
Why Choose StdDev Indicator?
Comprehensive Analysis: By integrating multiple MA and VWAP types across various terms, the indicator offers a multifaceted view of market conditions.
Customization: Highly configurable settings allow traders to adapt the indicator to their specific strategies and timeframes.
Visual Clarity: Clear plotting and optional bar coloring provide intuitive insights, reducing the need for complex analysis.
Conclusion: The StdDev Indicator (MA, Smoothed VWAP & Rolling VWAP) v5 is a versatile tool that combines advanced moving average and VWAP methodologies to deliver a robust deviation analysis framework. Whether you're looking to fine-tune your scalping strategy or gain a deeper understanding of long-term market trends, this indicator equips you with the necessary tools to make informed trading decisions.
Support & Feedback: If you have any questions or need assistance with the indicator, feel free to reach out through the TradingView community or contact the script author directly.
Full Spectrum Delta BandsI created the Full Spectrum Delta Bands (FullSpec ΔBB) to go beyond traditional Bollinger Bands by incorporating both OHLC (Open, High, Low, Close) and Close-based data into the calculations. Instead of relying solely on closing prices, this indicator evaluates deviations from the complete bar range (OHLC), offering a more accurate view of market behavior.
A key feature is the Delta Flip, which highlights shifts between OHLC and Close-based bands. These flips are visually marked with color changes, signaling potential trend reversals, breakout zones, or volatility shifts. Traders can use these moments as inflection points to refine their entry and exit strategies.
The indicator also supports customizable sensitivity and deviation multiplier settings, allowing it to adapt to different trading styles and timeframes. Lower deviation values (e.g., 1σ or 1.5σ) are ideal for scalping on shorter timeframes like 5-min or 15-min charts, while higher values (e.g., 2.5σ or 3σ) are better suited for long-term trend analysis on weekly or monthly charts. The standard deviation multiplier fine-tunes the upper and lower bands to match specific trading goals and market conditions.
I designed Full Spectrum Delta Bands to provide deeper insights and a clearer view of market dynamics compared to traditional Bollinger Bands. Whether you’re a scalper, swing trader, or long-term investor, this tool helps you make informed and confident trading decisions.
Options Series - Anchored VWAP Ribbon➤ AVWAP On different chart symbols:
⭐ Overview and Key Features:
Anchored VWAP Calculation:
The script implements the Anchored Volume Weighted Average Price (AVWAP), a tool used by professional traders to identify key price levels weighted by volume, starting from a specific timestamp (anchor point).
Bullish and Bearish Analysis:
It determines the dominance of bullish or bearish momentum based on the relationship between the close price and AVWAP levels across multiple time points.
Dynamic Visualization:
The background of the chart changes color based on overall bullish or bearish sentiment, making it easier to interpret market trends.
Multi-Time Anchors:
By defining multiple anchor points (e.g., 09:15, 09:20), the script calculates a series of AVWAP values for fine-grained intraday analysis.
Customizable Inputs:
Users can select the source price (e.g., hlc3), date, and time for AVWAP calculation.
⭐ How It Works and Functionality:
AVWAP Logic:
Uses the timestamp() function to establish a reference (anchor point).
Calculates the cumulative weighted price (price * volume) and cumulative volume from this anchor point.
The ratio of these sums gives the AVWAP, which updates dynamically with new bars.
Bullish and Bearish Signals:
Binary flags (1 or 0) are set for each time point depending on whether the closing price is above or below the AVWAP for that time.
Aggregates these flags into AVWAP_bull and AVWAP_bear to represent the overall market sentiment.
Decision Logic:
Determines final market conditions (bullish or bearish dominance) based on aggregated scores.
Visual feedback (background and bar colors) is applied accordingly.
⭐ Visualizations and User Experience:
Background Colors:
Green or red background highlights the overall sentiment (bullish or bearish), providing a quick market overview.
Bar Coloring:
Bars are color-coded based on bullish, bearish, or neutral conditions, making it easier to identify trends directly on the chart.
AVWAP Levels:
The calculated AVWAP values are plotted as colored lines for each anchor point, giving precise intraday levels of significance.
Bright colors (fluorescent green/red) are used for additional clarity when the close price is above or below these levels.
🎨 Settings and Customization:
Anchor Point:
Fully customizable anchor points allow users to set specific dates and times (e.g., 09:15 on December 13, 2024) for AVWAP calculations.
Source Price:
Users can choose from hlc3, close, or any other price source to calculate the AVWAP, tailoring the indicator to their strategy.
Visual Appearance:
The transparency, colors, and line styles are adjustable, enabling users to customize the chart to match their trading preferences.
Dynamic Signals:
The script accommodates numerous AVWAP levels, providing flexibility for scalpers and swing traders alike.
⭐ Uniqueness of the Concept:
Precise Intraday Analysis:
Unlike static VWAP, this script allows anchoring to specific times during the day, offering granular insights into market behavior.
Cumulative Sentiment Approach:
Aggregates signals across multiple time intervals, providing a comprehensive view of intraday momentum rather than a single-point reference.
Blending AVWAP with Visual Feedback:
Combines traditional AVWAP calculations with visually impactful features like background shading and bar coloring to enhance decision-making.
Scalability:
Supports adding multiple additional anchor points and customization for broader applicability in different market conditions.
🚀 Conclusion:
The Anchored VWAP Ribbon script is a powerful tool for traders seeking to analyze price behavior relative to volume-weighted levels anchored at specific times. It provides a visually intuitive way to assess intraday market sentiment, combining traditional technical indicators with customizable visualization features. The script’s flexibility makes it suitable for a variety of trading styles, from scalping to swing trading, while its unique cumulative sentiment logic sets it apart from conventional VWAP tools.
90 Minute Cycles Full90-Minute Cycles Indicator for London and NY Sessions
This is a more streamlined version of the 90-minute cycle indicator by sunwoo101.
The 90-Minute Cycles Indicator is built to help traders easily follow and trade around key market cycles during the London and New York sessions. Marking important 90-minute intervals and highlighting the True Cycle Open Price provides clear visual cues to help you make more informed trading decisions.
Key Features:
90-Minute Cycles for London and NY: The indicator automatically draws vertical lines marking every 90-minute cycle for the London and NY sessions. These lines are great for timing your trades and spotting potential shifts in market momentum.
True Cycle Open Price: A horizontal line is drawn at the True Cycle Open Price, which stays visible throughout the session. This gives you a key reference point for price levels that tend to act as support or resistance.
Customizable Visuals: You can fully personalize the indicator’s appearance - adjusting the colors and line styles and even controlling when the lines appear - so it blends perfectly with your existing charts.
All Cycles Drawn from the Start: Unlike other indicators, this one draws all the 90-minute cycles right when the session begins, so you can see the full day’s potential market moves as soon as the first cycle starts.
What’s Different About This Indicator:
London Session Support: In addition to the NY session, you now have 90-minute cycles for the London session, complete with its own True Cycle Open Price.
Better Customization: You have more control over the visual aspects of the indicator, so it can be tailored to fit your specific charting preferences.
Complete Cycle Visibility: All cycles are drawn immediately when the session starts, providing a full view of the day’s key moments right from the opening.
How to Use:
This indicator is perfect for scalping and short-term trading. Whether trading Forex or Indices and following SMT concepts, the cycle timing can help you pinpoint the best times for entering and exiting trades. The True Cycle Open Price is a crucial level of support or resistance throughout the session, making it a key marker to watch.
Scalpers: Use the 90-minute cycle lines to time your trades with the market's rhythm.
Day Traders: This indicator tracks the London and NY sessions, making it an excellent tool for day trading strategies where timing is critical.
Multi-Session Support:
Whether you're trading the London or New York session, the indicator will automatically adjust to your time zone and align the cycles to the relevant session. This helps you stay on top of key market activity across major trading hubs without changing anything manually.
Uptrick: Dynamic AMA RSI Indicator### **Uptrick: Dynamic AMA RSI Indicator**
**Overview:**
The **Uptrick: Dynamic AMA RSI Indicator** is an advanced technical analysis tool designed for traders who seek to optimize their trading strategies by combining adaptive moving averages with the Relative Strength Index (RSI). This indicator dynamically adjusts to market conditions, offering a nuanced approach to trend detection and momentum analysis. By leveraging the Adaptive Moving Average (AMA) and Fast Adaptive Moving Average (FAMA), along with RSI-based overbought and oversold signals, traders can better identify entry and exit points with higher precision and reduced noise.
**Key Components:**
1. **Source Input:**
- The source input is the price data that forms the basis of all calculations. Typically set to the closing price, traders can customize this to other price metrics such as open, high, low, or even the output of another indicator. This flexibility allows the **Uptrick** indicator to be tailored to a wide range of trading strategies.
2. **Adaptive Moving Average (AMA):**
- The AMA is a moving average that adapts its sensitivity based on the dominant market cycle. This adaptation allows the AMA to respond swiftly to significant price movements while smoothing out minor fluctuations, making it particularly effective in trending markets. The AMA adjusts its responsiveness dynamically using a calculated phase adjustment from the dominant cycle, ensuring it remains responsive to the current market environment without being overly reactive to market noise.
3. **Fast Adaptive Moving Average (FAMA):**
- The FAMA is a more sensitive version of the AMA, designed to react faster to price changes. It serves as a signal line in the crossover strategy, highlighting shorter-term trends. The interaction between the AMA and FAMA forms the core of the signal generation, with crossovers between these lines indicating potential buy or sell opportunities.
4. **Relative Strength Index (RSI):**
- The RSI is a momentum oscillator that measures the speed and change of price movements, providing insights into whether an asset is overbought or oversold. In the **Uptrick** indicator, the RSI is used to confirm the validity of crossover signals between the AMA and FAMA, adding an additional layer of reliability to the trading signals.
**Indicator Logic:**
1. **Dominant Cycle Calculation:**
- The indicator starts by calculating the dominant market cycle using a smoothed price series. This involves applying exponential moving averages to a series of price differences, extracting cycle components, and determining the instantaneous phase of the cycle. This phase is then adjusted to provide a phase adjustment factor, which plays a critical role in determining the adaptive alpha.
2. **Adaptive Alpha Calculation:**
- The adaptive alpha, a key feature of the AMA, is computed based on the fast and slow limits set by the trader. This alpha is clamped within these limits to ensure the AMA remains appropriately sensitive to market conditions. The dynamic adjustment of alpha allows the AMA to be highly responsive in volatile markets and more conservative in stable markets.
3. **Crossover Detection:**
- The indicator generates trading signals based on crossovers between the AMA and FAMA:
- **CrossUp:** When the AMA crosses above the FAMA, it indicates a potential bullish trend, suggesting a buy opportunity.
- **CrossDown:** When the AMA crosses below the FAMA, it signals a potential bearish trend, indicating a sell opportunity.
4. **RSI Confirmation:**
- To enhance the reliability of these crossover signals, the indicator uses the RSI to confirm overbought and oversold conditions:
- **Buy Signal:** A buy signal is generated only when the AMA crosses above the FAMA and the RSI confirms an oversold condition, ensuring that the signal aligns with a momentum reversal from a low point.
- **Sell Signal:** A sell signal is triggered when the AMA crosses below the FAMA and the RSI confirms an overbought condition, indicating a momentum reversal from a high point.
5. **Signal Management:**
- To prevent signal redundancy during strong trends, the indicator tracks the last generated signal (buy or sell) and ensures that the next signal is only issued when there is a genuine reversal in trend direction.
6. **Signal Visualization:**
- **Buy Signals:** The indicator plots a "BUY" label below the bar when a buy signal is generated, using a green color to clearly mark the entry point.
- **Sell Signals:** A "SELL" label is plotted above the bar when a sell signal is detected, marked in red to indicate an exit or shorting opportunity.
- **Bar Coloring (Optional):** Traders have the option to enable bar coloring, where green bars indicate a bullish trend (AMA above FAMA) and red bars indicate a bearish trend (AMA below FAMA), providing a visual representation of the market’s direction.
**Customization Options:**
- **Source:** Traders can select the price data input that best suits their strategy (e.g., close, open, high, low, or custom indicators).
- **Fast Limit:** Adjustable sensitivity for the fast response of the AMA, allowing traders to tailor the indicator to different market conditions.
- **Slow Limit:** Sets the slower boundary for the AMA’s sensitivity, providing stability in less volatile markets.
- **RSI Length:** The period for the RSI calculation can be adjusted to fit different trading timeframes.
- **Overbought/Oversold Levels:** These thresholds can be customized to define the RSI levels that trigger buy or sell confirmations.
- **Enable Bar Colors:** Traders can choose whether to enable bar coloring based on the AMA/FAMA relationship, enhancing visual clarity.
**How Different Traders Can Use the Indicator:**
1. **Day Traders:**
- **Uptrick: Dynamic AMA RSI Indicator** is highly effective for day traders who need to make quick decisions in fast-moving markets. The adaptive nature of the AMA and FAMA allows the indicator to respond rapidly to intraday price swings. Day traders can use the buy and sell signals generated by the crossover and RSI confirmation to time their entries and exits with greater precision, minimizing exposure to false signals often prevalent in high-frequency trading environments.
2. **Swing Traders:**
- Swing traders can benefit from the indicator’s ability to identify and confirm trend reversals over several days or weeks. By adjusting the RSI length and sensitivity limits, swing traders can fine-tune the indicator to catch longer-term price movements, helping them to ride trends and maximize profits over medium-term trades. The dual confirmation of crossovers with RSI ensures that swing traders enter trades that have a higher probability of success.
3. **Position Traders:**
- For position traders who hold trades over longer periods, the **Uptrick** indicator offers a reliable method to stay in trades that align with the dominant trend while avoiding premature exits. By adjusting the slow limit and extending the RSI length, position traders can smooth out the indicator’s sensitivity, allowing them to focus on major market shifts rather than short-term volatility. The bar coloring feature also provides a clear visual indication of the overall trend, aiding in trade management decisions.
4. **Scalpers:**
- Scalpers, who seek to profit from small price movements, can use the fast responsiveness of the FAMA in conjunction with the RSI to identify micro-trends within larger market moves. The indicator’s ability to adapt quickly to changing conditions makes it a valuable tool for scalpers looking to execute numerous trades in a short period, capturing profits from minor price fluctuations while avoiding prolonged exposure.
5. **Algorithmic Traders:**
- Algorithmic traders can incorporate the **Uptrick** indicator into automated trading systems. The precise crossover signals combined with RSI confirmation provide clear and actionable rules that can be coded into algorithms. The adaptive nature of the indicator ensures that it can be used across different market conditions and timeframes, making it a versatile component of algorithmic strategies.
**Usage:**
The **Uptrick: Dynamic AMA RSI Indicator** is a versatile tool that can be integrated into various trading strategies, from short-term day trading to long-term investing. Its ability to adapt to changing market conditions and provide clear buy and sell signals makes it an invaluable asset for traders seeking to improve their trading performance. Whether used as a standalone indicator or in conjunction with other technical tools, **Uptrick** offers a dynamic approach to market analysis, helping traders to navigate the complexities of financial markets with greater confidence.
**Conclusion:**
The **Uptrick: Dynamic AMA RSI Indicator** offers a comprehensive and adaptable solution for traders across different styles and timeframes. By combining the strengths of adaptive moving averages with RSI confirmation, it delivers robust signals that help traders capitalize on market trends while minimizing the risk of false signals. This indicator is a powerful addition to any trader’s toolkit, enabling them to make informed decisions with greater precision and confidence. Whether you're a day trader, swing trader, or long-term investor, the **Uptrick** indicator can enhance your trading strategy and improve your market outcomes.
ICT IPDA Liquidity Matrix By AlgoCadosThe ICT IPDA Liquidity Matrix by AlgoCados is a sophisticated trading tool that integrates the principles of the Interbank Price Delivery Algorithm (IPDA), as taught by The Inner Circle Trader (ICT). This indicator is meticulously designed to support traders in identifying key institutional levels and liquidity zones, enhancing their trading strategies with data-driven insights. Suitable for both day traders and swing traders, the tool is optimized for high-frequency and positional trading, providing a robust framework for analyzing market dynamics across multiple time horizons.
# Key Features
Multi-Time Frame Analysis
High Time Frame (HTF) Levels : The indicator tracks critical trading levels over multiple days, specifically at 20, 40, and 60-day intervals. This functionality is essential for identifying long-term trends and significant support and resistance levels that aid in strategic decision-making for swing traders and positional traders.
Low Time Frame (LTF) Levels : It monitors price movements within 20, 40, and 60-hour intervals on lower time frames. This granularity provides a detailed view of intraday price actions, which is crucial for scalping and short-term trading strategies favored by day traders.
Daily Open Integration : The indicator includes the daily opening price, providing a crucial reference point that reflects the market's initial sentiment. This feature helps traders assess the market's direction and volatility, enabling them to make informed decisions based on the day's early movements, which is particularly useful for day trading strategies.
IPDA Reference Points : By leveraging IPDA's 20, 40, and 60-period lookbacks, the tool identifies Key Highs and Lows, which are used by IPDA as Draw On Liquidity. IPDA is an electronic and algorithmic system engineered for achieving price delivery efficiency, as taught by ICT. These reference points serve as benchmarks for understanding institutional trading behavior, allowing traders to align their strategies with the dominant market forces and recognize institutional key levels.
Dynamic Updates and Overlap Management : The indicator is updated daily at the beginning of a new daily candle with the latest market data, ensuring that traders operate with the most current information. It also features intelligent overlap management that prioritizes the most relevant levels based on the timeframe hierarchy, reducing visual clutter and enhancing chart readability.
Comprehensive Customization Options : Traders can tailor the indicator to their specific needs through an extensive input menu. This includes toggles for visibility, line styles, color selections, and label display preferences. These customization options ensure that the tool can adapt to various trading styles and preferences, enhancing user experience and analytical capabilities.
User-Friendly Interface : The tool is designed with a user-friendly interface that includes clear, concise labels for all significant levels. It supports various font families and sizes, making it easier to interpret and act upon the displayed data, ensuring that traders can focus on making informed trading decisions without being overwhelmed by unnecessary information.
# Usage Note
The indicator is segmented into two key functionalities:
LTF Displays : The Low Time Frame (LTF) settings are exclusive to timeframes up to 1 hour, providing detailed analysis for intraday traders. This is crucial for traders who need precise and timely data to make quick decisions within the trading day.
HTF Displays : The High Time Frame (HTF) settings apply to the daily timeframe and any shorter intervals, allowing for comprehensive analysis over extended periods. This is beneficial for swing traders looking to identify broader trends and market directions.
# Inputs and Configurations
BINANCE:BTCUSDT
Offset: Adjustable setting to shift displayed data horizontally for better visibility, allowing traders to view past levels and make informed decisions based on historical data.
Label Styles: Choose between compact or verbose label formats for different levels, offering flexibility in how much detail is displayed on the chart.
Daily Open Line: Customizable line style and color for the daily opening price, providing a clear visual reference for the start of the trading day.
HTF Levels: Configurable high and low lines for HTF with options for style and color customization, allowing traders to highlight significant levels in a way that suits their trading style.
LTF Levels: Similar customization options for LTF levels, ensuring flexibility in how data is presented, making it easier for traders to focus on the most relevant intraday levels.
Text Utils: Settings for font family, size, and text color, allowing for personalized display preferences and ensuring that the chart is both informative and aesthetically pleasing.
# Advanced Features
Overlap Management : The script intelligently handles overlapping levels, particularly where multiple timeframes intersect, by prioritizing the more significant levels and removing redundant ones. This ensures that the charts remain clear and focused on the most critical data points, allowing traders to concentrate on the most relevant market information.
Real-Time Updates : The indicator updates its calculations at the start of each new daily bar, incorporating the latest market data to provide timely and accurate trading signals. This real-time updating is crucial for traders who rely on up-to-date information to execute their strategies effectively and make informed trading decisions.
# Example Use Cases
Scalpers/Day traders: Can utilize the LTF features to make rapid decisions based on hourly market movements, identifying short-term trading opportunities with precision.
Swing Traders: Will benefit from the HTF analysis to identify broader trends and key levels that influence longer-term market movements, enabling them to capture significant market swings.
By providing a clear, detailed view of key market dynamics, the ICT IPDA Liquidity Matrix by AlgoCados empowers traders to make more informed and effective trading decisions, aligning with institutional trading methodologies and enhancing their market understanding.
# Usage Disclaimer
This tool is designed to assist in trading decisions, but it should be used in conjunction with other analysis methods and risk management strategies. Trading involves significant risk, and it is essential to understand the market conditions thoroughly before making trading decisions.
Hamilton - Wick Length PredictionWick Length Prediction is a Pine Script indicator crafted to empower traders by predicting the potential length and direction of the next candle's wick based on historical price action. By analyzing previous candles' wick sizes, this tool provides valuable foresight into future price dynamics, enhancing decision-making for traders.
Key Features:
Wick Percentage Analysis : Calculates the percentages of the upper and lower wicks from the previous candle relative to its total range, offering a predictive insight into the next wick’s potential direction and size.
Directional Bias Indicator : Identifies the longer wick between the previous candle's upper and lower wicks to suggest a directional bias—green indicates an upward prediction, while red suggests downward.
Targeted Plotting : Marks a horizontal line at the anticipated wick position for the forthcoming candle, aiding traders in identifying potential price rejection zones ahead of time.
Strategic Insights for Traders:
Understanding Market Pressure : Recognizes that wicks typically indicate pressure in the opposite direction of their occurrence, presenting potential targets for price movement towards the opposite side. This insight is invaluable for identifying reversal zones or continuation patterns.
Optimal for Scalping : Especially beneficial for scalpers, this tool helps in pinpointing precise entry and exit points by forecasting where the price might face opposition and potentially reverse or absorb the wick.
Timeframe Flexibility : While best suited for higher timeframes, it also delivers on lower timeframes during aggressive market movements, making it a versatile addition to your trading arsenal.
Application Tips :
Leverage in combination with other indicators and support/resistance levels to refine your trading strategy.
Ideal for enhancing price action analysis, providing a clearer understanding of potential market movements.
Use as a strategic complement to your existing approach, mindful of its predictive nature to inform better trading decisions.
Disclaimer: Trading involves significant risk. This tool aims to support a diversified trading strategy, but it's crucial to perform your own analysis and adopt appropriate risk management practices.
Fibonacci HH LL TRAMA BandLuxAlgo's Trend Moving Adaptive Moving Average was used as a reference to create bands by reading the highest and lowest prices of past bars based on Fibonacci numbers and then multiplying them by the Fibonacci ratio.
LuxAlgo/ LuxAlgo/
In particular, the so-called TRAMA is characterized by its adaptation to the average of the highest and lowest prices over a specific period of time and is used to identify support/resistance.
In order to apply this feature to the maximum extent possible, I used the high or low prices as the source of input, rather than the closing price.
For example,
src = high
not original like
src = close
In addition, I created 6 levels by multiplying the Fibonacci ratio
//Midline
mah = ama1
mal = ama2
m = (mah + mal)/2
//Half Mean Range
dist = (mah - mal)/2
//Levels
h6 = m + dist * 11.089
h5 = m + dist * 6.857
h4 = m + dist * 4.235
h3 = m + dist * 2.618
h2 = m + dist * 1.618
h1 = m + dist * 0.618
l1 = m - dist * 0.618
l2 = m - dist * 1.618
l3 = m - dist * 2.618
l4 = m - dist * 4.235
l5 = m - dist * 6.857
l6 = m - dist * 11.089
If you want to use it for scalping, such as 15 minutes, you can include Fibonacci numbers such as 21,34,55 for a quick reaction type to detect the trend. Also, by including Fibonacci numbers such as 89,144,233, you can see where you stand in the larger trend. Some examples are included below.
For Investors
BTCUSDT 1day Chart Fibonacci number "55"
For Daytraders
BTCUSDT 4hour Chart Fibonacci number "34"
For Scalpers
BTCUSDT 15min Chart Fibonacci number "55"
BTCUSDT 15min Chart Fibonacci number "89"
BTCUSDT 15min Chart Fibonacci number "233"
Fibonacci numbers are 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, etc.,
Fibonacci ratios are 0.618, 1.618, 2.618, 4.236, 6.854, 11.089, etc.,
AFRHi everyone! Sorry for not posting anything for so long again. I will be active in July, after passing my university exams. I bought some S&C magazine archives, so await my new post strategies and indicator in July, as things are gonna get real interesting! But for now let me hand you some new and interesting stuff — AFR indicator.
Actually, this is my third time republishing this indicator after a big timeout because of the battles with TV mods on reference politics (which I lost).
This is indicator was originaly made by some user from other trading website, which I can't mention because of TV reference politics.
Which principles are behind AFR?
First we define our own low and high (OL and OH respectively), which are equal to:
OL = open - ATR * ATR_Factor
OH = open + ATR * ATR_Factor,
where ATR — Average True Range,
ATR_Factor — "Factor" in the settings — multiplier for ATR.
On each tick we remember AFR's value from previous bar, if it is not 0.
When OL is greater then AFR, then AFR is equal to OL. It means that there is probably an uptrend, so we adjust AFR accordingly.
When OH is lower then AFR, then AFR is equal to OH. It means that there is probably a downtrend, so we adjust AFR accordingly.
How to use?
Green AFR — bullish trend.
Red AFR — bearish trend.
Green AFR's triangle up — buy signal — appears when AFR changes it's colour from red to green.
Red AFR's triangle down— sell signal — appears when AFR changes it's colour from green to red.
ALERTS INCLUDED!
My personal ecommendations
- You can AFR as a tool to find short-term and middle-term trends, as it does it's best to find such trends;
- If are a scalper, then you probably should try AFR on low factor settings, as AFR alone can find good scalping entries.
- As AFR is a trend indicator, please use it with other confirmation indicator to make better entries.
Hope you will find this script useful.
Take your profits!
- Tarasenko Fyodor
Physics CandlesPhysics Candles embed volume and motion physics directly onto price candles or market internals according to the cyclic pattern of financial securities. The indicator works on both real-time “ticks” and historical data using statistical modeling to highlight when these values, like volume or momentum, is unusual or relatively high for some periodic window in time. Each candle is made out of one or more sub-candles that each contain their own information of motion, which converts to the color and transparency, or brightness, of that particular candle segment. The segments extend throughout the entire candle, both body and wicks, and Thick Wicks can be implemented to see the color coding better. This candle segmentation allows you to see if all the volume or energy is evenly distributed throughout the candle or highly contained in one small portion of it, and how intense these values are compared to similar time periods without going to lower time frames. Candle segmentation can also change a trader’s perspective on how valuable the information is. A “low” volume candle, for instance, could signify high value short-term stopping volume if the volume is all concentrated in one segment.
The Candles are flexible. The physics information embedded on the candles need not be from the same price security or market internal as the chart when using the Physics Source option, and multiple Candles can be overlayed together. You could embed stock price Candles with market volume, market price Candles with stock momentum, market structure with internal acceleration, stock price with stock force, etc. My particular use case is scalping the SPX futures market (ES), whose price action is also dictated by the volume action in the associated cash market, or SPY, as well as a host of other securities. Physics allows you to embed the ES volume on the SPY price action, or the SPY volume on the ES price action, or you can combine them both by overlaying two Candle streams and increasing the Number of Overlays option to two. That option decreases the transparency levels of your coloring scheme so that overlaying multiple Candles converges toward the same visual color intensity as if you had one. The Candle and Physics Sources allows for both Symbols and Spreads to visualize Candle physics from a single ticker or some mathematical transformation of tickers.
Due to certain TradingView programming restrictions, each Candle can only be made out of a maximum of 8 candle segments, or an “8-bit” resolution. Since limits are just an opportunity to go beyond, the user has the option to stack multiple Candle indicators together to further increase the candle resolution. If you don’t want to see the Candles for some particular period of the day, you can hide them, or use the hiding feature to have multiple Candles calibrated to show multiple parts of the trading day. Securities tend to have low volume after hours with sharp spikes at the open or close. Multiple Candles can be used for multiple parts of the trading day to accommodate these different cycles in volume.
The Candles do not need be associated with the nominal security listed on the TV chart. The Candle Source allows the user to look at AAPL Candles, for instance, while on a TSLA or SPY chart, each with their respective volume actions integrated into the candles, for instance, to allow the user to see multiple security price and volume correlation on a single chart.
The physics information currently embeddable on Candles are volume or time, velocity, momentum, acceleration, force, and kinetic energy. In order to apply equations of motion containing a mass variable to financial securities, some analogous value for mass must be assumed. Traders often regard volume or time as inextricable variables to a securities price that can indicate the direction and strength of a move. Since mass is the inextricable variable to calculating the momentum, force, or kinetic energy of motion, the user has the option to assume either time or volume is analogous to mass. Volume may be a better option for mass as it is not strictly dependent on the speed of a security, whereas time is.
Data transformations and outlier statistics are used to color code the intensity of the physics for each candle segment relative to past periodic behavior. A million shares during pre-market or a million shares during noontime may be more intense signals than a typical million shares traded at the open, and should have more intense color signals. To account for a specific cyclic behavior in the market, the user can specify the Window and Cycle Time Frames. The Window Time Frame splits up a Cycle into windows, samples and aggregates the statistics for each window, then compares the current physics values against past values in the same window. Intraday traders may benefit from using a Daily Cycle with a 30-minute Window Time Frame and 1-minute Sample Time Frame. These settings sample and compare the physics of 1-minute candles within the current 30-minute window to the same 30-minute window statistics for all past trading days, up until the data limit imposed by TradingView, or until the Data Collection Start Date specified in the settings. Longer-term traders may benefit from using a Monthly Cycle with a Weekly Time Frame, or a Yearly Cycle with a Quarterly Time Frame.
Multiple statistics and data transformation methods are available to convey relative intensity in different ways for different trading signals. Physics Candles allows for both Normal and Log-Normal assumptions in the physics distribution. The data can then be transformed by Linear, Logarithmic, Z-Score, or Power-Law scoring, where scoring simply assigns an intensity to the relative physics value of each candle segment based on some mathematical transformation. Z-scoring often renders adequate detection by scoring the segment value, such as volume or momentum, according to the mean and standard deviation of the data set in each window of the cycle. Logarithmic or power-law transformation with a gamma below 1 decreases the disparity between intensities so more less-important signals will show up, whereas the power-law transformation with gamma values above 1 increases the disparity between intensities, so less more-important signals will show up. These scores are then converted to color and transparency between the Min Score and the Max Score Cutoffs. The Auto-Normalization feature can automatically pick these cutoffs specific to each window based on the mean and standard deviation of the data set, or the user can manually set them. Physics was developed with novices in mind so that most users could calibrate their own settings by plotting the candle segment distributions directly on the chart and fiddling with the settings to see how different cutoffs capture different portions of the distribution and affect the relative color intensities differently. Security distributions are often skewed with fat-tails, known as kurtosis, where high-volume segments for example, have a higher-probabilities than expected for a normal distribution. These distribution are really log-normal, so that taking the logarithm leads to a standard bell-shaped distribution. Taking the Z-score of the Log-Normal distribution could make the most statistical sense, but color sensitivity is a discretionary preference.
Background Philosophy
This indicator was developed to study and trade the physics of motion in financial securities from a visually intuitive perspective. Newton’s laws of motion are loosely applied to financial motion:
“A body remains at rest, or in motion at a constant speed in a straight line, unless acted upon by a force”.
Financial securities remain at rest, or in motion at constant speed up or down, unless acted upon by the force of traders exchanging securities.
“When a body is acted upon by a force, the time rate of change of its momentum equals the force”.
Momentum is the product of mass and velocity, and force is the product of mass and acceleration. Traders render force on the security through the mass of their trading activity and the acceleration of price movement.
“If two bodies exert forces on each other, these forces have the same magnitude but opposite directions.”
Force arises from the interaction of traders, buyers and sellers. One body of motion, traders’ capitalization, exerts an equal and opposite force on another body of motion, the financial security. A securities movement arises at the expense of a buyer or seller’s capitalization.
Volume
The premise of this indicator assumes that volume, v, is an analogous means of measuring physical mass, m. This premise allows the application of the equations of motion to the movement of financial securities. We know from E=mc^2 that mass has energy. Energy can be used to create motion as kinetic energy. Taking a simple hypothetical example, the interaction of one short seller looking to cover lower and one buyer looking to sell higher exchange shares in a security at an agreed upon price to create volume or mass, and therefore, potential energy. Eventually the short seller will actively cover and buy the security from the previous buyer, moving the security higher, or the buyer will actively sell to the short seller, moving the security lower. The potential energy inherent in the initial consolidation or trading activity between buy and seller is now converted to kinetic energy on the subsequent trading activity that moves the securities price. The more potential energy that is created in the consolidation, the more kinetic energy there is to move price. This is why point and figure traders are said to give price targets based on the level of volatility or size of a consolidation range, or why Gann traders square price and time, as time is roughly proportional to mass and trading activity. The build-up of potential energy between short sellers and buyers in GME or TSLA led to their explosive moves beyond their standard fundamental valuations.
Position
Position, p, is simply the price or value of a financial security or market internal.
Time
Time, t, is another means of measuring mass to discover price behavior beyond the time snapshots that simple candle charts provide. We know from E=mc^2 that time is related to rest mass and energy given the speed of light, c, where time ≈ distance * sqrt(mass/E). This relation can also be derived from F=ma. The more mass there is, the longer it takes to compute the physics of a system. The more energy there is, the shorter it takes to compute the physics of a system. Similarly, more time is required to build a “resting” low-volatility trading consolidation with more mass. More energy added to that trading consolidation by competing buyers and sellers decreases the time it takes to build that same mass. Time is also related to price through velocity.
Velocity = (p(t1) – p(t0)) / p(t0)
Velocity, v, is the relative percent change of a securities price, p, over a period of time, t0 to t1. The period of time is between subsequent candles, and since time is constant between candles within the same timeframe, it is not used to calculate velocity or acceleration. Price moves faster with higher velocity, and slower with slower velocity, over the same fixed period of time. The product of velocity and mass gives momentum.
Momentum = mv
This indicator uses physics definition of momentum, not finance’s. In finance, momentum is defined as the amount of change in a securities price, either relative or absolute. This is definition is unfortunate, pun intended, since a one dollar move in a security from a thousand shares traded between a few traders has the exact same “momentum” as a one dollar move from millions of shares traded between hundreds of traders with everything else equal. If momentum is related to the energy of the move, momentum should consider both the level of activity in a price move, and the amount of that price move. If we equate mass to volume to account for the level of trading activity and use physics definition of momentum as the product of mass and velocity, this revised definition now gives a thousand-times more momentum to a one-dollar price move that has a thousand-times more volume behind it. If you want to use finance’s volume-less definition of momentum, use velocity in this indicator.
Acceleration = v(t1) – v(t0)
Acceleration, a, is the difference between velocities over some period of time, t0 to t1. Positive acceleration is necessary to increase a securities speed in the positive direction, while negative acceleration is necessary to decrease it. Acceleration is related to force by mass.
Force = ma
Force is required to change the speed of a securities valuation. Price movements with considerable force have considerably more impact on future direction. A change in direction requires force.
Kinetic Energy = 0.5mv^2
Kinetic energy is the energy that a financial security gains from the change in its velocity by force. The built-up of potential energy in trading consolidations can be converted to kinetic energy on a breakout from the consolidation.
Cycle Theory and Relativity
Just as the physics of motion is relative to a point of reference, so too should the physics of financial securities be relative to a point of reference. An object moving at a 100 mph towards another object moving in the same direction at 100 mph will not appear to be moving relative to each other, nor will they collide, but from an outsider observer, the objects are going 100 mph and will collide with significant impact if they run into a stationary object relative to the observer. Similarly, trading with a hundred thousand shares at the open when the average volume is a couple million may have a much smaller impact on the price compared to trading a hundred thousand shares pre-market when the average volume is ten thousand shares. The point of reference used in this indicator is the average statistics collected for a given Window Time Frame for every Cycle Time Frame. The physics values are normalized relative to these statistics.
Examples
The main chart of this publication shows the Force Candles for the SPY. An intense force candle is observed pre-market that implicates the directional overtone of the day. The assumption that direction should follow force arises from physical observation. If a large object is accelerating intensely in a particular direction, it may be fair to assume that the object continues its direction for the time being unless acted upon by another force.
The second example shows a similar Force Candle for the SPY that counters the assumption made in the first example and emphasizes the importance of both motion and context. While it’s fair to assume that a heavy highly accelerating object should continue its course, if that object runs into an obstacle, say a brick wall, it’s course may deviate. This example shows SPY running into the 50% retracement wall from the low of Mar 2020, a significant support level noted in literature. The example also conveys Gann’s idea of “lost motion”, where the SPY penetrated the 50% price but did not break through it. A brick wall is not one atom thick and price support is not one tick thick. An object can penetrate only one layer of a wall and not go through it.
The third example shows how Volume Candles can be used to identify scalping opportunities on the SPY and conveys why price behavior is as important as motion and context. It doesn’t take a brick wall to impede direction if you know that the person driving the car tends to forget to feed the cats before they leave. In the chart below, the SPY breaks down to a confluence of the 5-day SMA, 20-day SMA, and an important daily trendline (not shown) after the bullish bounce from the 50% retracement days earlier. High volume candles on the SMA signify stopping volume that reverse price direction. The character of the day changes. Bulls become more aggressive than bears with higher volume on upswings and resistance, whiles bears take on a defensive position with lower volume on downswings and support. High volume stopping candles are seen after rallies, and can tell you when to take profit, get out of a position, or go short. The character change can indicate that its relatively safe to re-enter bullish positions on many major supports, especially given the overarching bullish theme from the large reaction off the 50% retracement level.
The last example emphasizes the importance of relativity. The Volume Candles in the chart below are brightest pre-market even though the open has much higher volume since the pre-market activity is much higher compared to past pre-markets than the open is compared to past opens. Pre-market behavior is a good indicator for the character of the day. These bullish Volume Candles are some of the brightest seen since the bounce off the 50% retracement and indicates that bulls are making a relatively greater attempt to bring the SPY higher at the start of the day.
Infrequently Asked Questions
Where do I start?
The default settings are what I use to scalp the SPY throughout most of the extended trading day, on a one-minute chart using SPY volume. I also overlay another Candle set containing ES future volume on the SPY price structure by setting the Physics Source to ES1! and the Number of Overlays setting to 2 for each Candle stream in order to account for pre- and post-market trading activity better. Since the closing volume is exponential-like up until the end of the regular trading day, adding additional Candle streams with a tighter Window Time Frame (e.g., 2-5 minute) in the last 15 minutes of trading can be beneficial. The Hide feature can allow you to set certain intraday timeframes to hide one Candle set in order to show another Candle set during that time.
How crazy can you get with this indicator?
I hope you can answer this question better. One interesting use case is embedding the velocity of market volume onto an internal market structure. The PCTABOVEVWAP.US is a market statistic that indicates the percent of securities above their VWAP among US stocks and is helpful for determining short term trends in the US market. When securities are rising above their VWAP, the average long is up on the day and a rising PCTABOVEVWAP.US can be viewed as more bullish. When securities are falling below their VWAP, the average short is up on the day and a falling PCTABOVEVWAP.US can be viewed as more bearish. (UPVOL.US - DNVOL.US) / TVOL.US is a “spread” symbol, in TV parlance, that indicates the decimal percent difference between advancing volume and declining volume in the US market, showing the relative flow of volume between stocks that are up on the day, and stocks that are down on the day. Setting PCTABOVEVWAP.US in the Candle Source, (UPVOL.US - DNVOL.US) / TVOL.US in the Physics Source, and selecting the Physics to Velocity will embed the relative velocity of the spread symbol onto the PCTABOVEVWAP.US candles. This can be helpful in seeing short term trends in the US market that have an increasing amount of volume behind them compared to other trends. The chart below shows Volume Candles (top) and these Spread Candles (bottom). The first top at 9:30 and second top at 10:30, the high of the day, break down when the spread candles light up, showing a high velocity volume transfer from up stocks to down stocks.
How do I plot the indicator distribution and why should I even care?
The distribution is visually helpful in seeing how different normalization settings effect the distribution of candle segments. It is also helpful in seeing what physics intensities you want to ignore or show by segmenting part of the distribution within the Min and Max Cutoff values. The intensity of color is proportional to the physics value between the Min and Max Cutoff values, which correspond to the Min and Max Colors in your color scheme. Any physics value outside these Min and Max Cutoffs will be the same as the Min and Max Colors.
Select the Print Windows feature to show the window numbers according to the Cycle Time Frame and Window Time Frame settings. The window numbers are labeled at the start of each window and are candle width in size, so you may need to zoom into to see them. Selecting the Plot Window feature and input the window number of interest to shows the distribution of physics values for that particular window along with some statistics.
A log-normal volume distribution of segmented z-scores is shown below for 30-minute opening of the SPY. The Min and Max Cutoff at the top of the graph contain the part of the distribution whose intensities will be linearly color-coded between the Min and Max Colors of the color scheme. The part of the distribution below the Min Cutoff will be treated as lowest quality signals and set to the Min Color, while the few segments above the Max Cutoff will be treated as the highest quality signals and set to the Max Color.
What do I do if I don’t see anything?
Troubleshooting issues with this indicator can involve checking for error messages shown near the indicator name on the chart or using the Data Validation section to evaluate the statistics and normalization cutoffs. For example, if the Plot Window number is set to a window number that doesn’t exist, an error message will tell you and you won’t see any candles. You can use the Print Windows option to show windows that do exist for you current settings. The auto-normalization cutoff values may be inappropriate for your particular use case and literally cut the candles out of the chart. Try changing the chart time frame to see if they are appropriate for your cycle, sample and window time frames. If you get a “Timeframe passed to the request.security_lower_tf() function must be lower than the timeframe of the main chart” error, this means that the chart timeframe should be increased above the sample time frame. If you get a “Symbol resolve error”, ensure that you have correct symbol or spread in the Candle or Physics Source.
How do I see a relative physics values without cycles?
Set the Window Time Frame to be equal to the Cycle Time Frame. This will aggregate all the statistics into one bucket and show the physics values, such as volume, relative to all the past volumes that TV will allow.
How do I see candles without segmentation?
Segmentation can be very helpful in one context or annoying in another. Segmentation can be removed by setting the candle resolution value to 1.
Notes
I have yet to find a trading platform that consistently provides accurate real-time volume and pricing information, lacking adequate end-user data validation or quality control. I can provide plenty of examples of real-time volume counts or prices provided by TradingView and other platforms that were significantly off from what they should have been when comparing against the exchanges own data, and later retroactively corrected or not corrected at all. Since no indicator can work accurately with inaccurate data, please use at your own discretion.
The first version is a beta version. Debugging and validating code in Pine script is difficult without proper unit testing. Please report any bugs with enough information to reproduce them and indicate why they are important. I also encourage you to export the data from TradingView and verify the calculations for your particular use case.
The indicator works on real-time updates that occur at a higher frequency than the candle time frame, which TV incorrectly refers to as ticks. They use this terminology inaccurately as updates are really aggregated tick data that can take place at different prices and may not accurately reflect the real tick price action. Consequently, this inaccuracy also impacts the real-time segmentation accuracy to some degree. TV does not provide a means of retaining “tick” information, so the higher granularity of information seen real-time will be lost on a disconnect.
TV does not provide time and sales information. The volume and price information collected using the Sample Time Frame is intraday, which provides only part of the picture. Intraday volume is generally 50 to 80% of the end of day volume. Consequently, the daily+ OHLC prices are intraday, and may differ significantly from exchanged settled OHLC prices.
The Cycle and Window Time Frames refer to calendar days and time, not trading days or time. For example, the first window week of a monthly cycle is the first seven days of the month, not the first Monday through Friday of trading for the month.
Chart Time Frames that are higher than the Window Time Frames average the normalized physics for price action that occurred within a given Candle segment. It does not average price action that did not occur.
One of the main performance bottleneck in TradingView’s Pine Script is client-side drawing and plotting. The performance of this indicator can be increased by lowering the resolution (the number of sub-candles this indicator plots), getting a faster computer, or increasing the performance of your computer like plugging your laptop in and eliminating unnecessary processes.
The statistical integrity of this indicator relies on the number of samples collected per sample window in a given cycle. Higher sample counts can be obtained by increasing the chart time frame or upgrading the TradingView plan for a higher bar count. While increasing the chart time frame doesn’t increase the visual number of bars plotted on the chart, it does increase the number of bars that can be pulled at a lower time frame, up to 100,000.
Due to a limitation in Pine Scripts request_lower_tf() function, using a spread symbol will only work for regular trading hours, not extended trading hours.
Ideally, velocity or momentum should be calculated between candle closes. To eliminate the need to deal with price gaps that would lead to an incorrect statistical distributions, momentum is calculated between candle open and closes as a percent change of the price or value, which should not be an issue for most liquid securities.
EBB & Flow: a multi-EMA-based BB cloudIntro
This is an idea evolved out of the market maker method and EMA convergence, divergence, and mean reversion.
The market maker method informs us that the 5, 13, 50 and 200 EMAs are important to regulating price. Those EMA lengths are multiples of the 50 and 200 on lower major timeframes -- the 1 minute, 5, 15, 1H, 4H, 1D. I include the 21 because it is also a multiple and in crypto very often respected.
When market makers are testing price, they set their range and spike in the direction they test for liquidity. This can get chaotic. For instance, in a shorter time frame consolidation inside a bigger timeframe uptrend, it can be too easy to forget where you are in the many trends playing out.
When the EMAs are dragged over each other during normal price movement, you get these crisscrossing tracks of price, and the individual breaks can be hard to trace.
The range is what matters, ultimately, and the range is dynamic. In that case, the Bollinger Band is a great tool for detecting outliers in this case.
The Answer
So the answer this indicator seeks to give, is to look for outliers. This gives you a scalping strategy built on Traders Reality thinking and best put together with the PVSRA indicator, which I may include in this indicator just for the sake of concision, but they can work alongside each other or separately.
The key thing is the different EMA clouds, which are bollinger bands. Tight bands mean imminent breaks, favouring the trend. Vector candles out of a zone, pins to the low/high, etc. are all very relevant alongside this indicator.
You can also use it on its own and scalp the breaks of a cloud.
How it works
Each cloud is a standard deviation from their respective EMA, all in the same colour. The deviation multiple is 1.618 by default. Yes, fibonacci sequences are usually nonsense, but it works better with the BB than 2, 2.5 or 3.
Using just the clouds, you can see where each EMA is headed and how it behaves within the deviation of the others.
But that on its own isn't enough.
The indicator will also print snowflakes above and below the candle for notable outliers. It will be in the colour of the cloud it breaks, but only if that break is also breaking the smaller EMA clouds too.
The most snowflakes will be yellow because that's the 13 EMA. That one is dependent on nothing else and every break will print a snowflake. The 21 will be dependent on the 13. The 50 dependent on the 13 and 21 breaks. The 200 the most important.
For example, if the 200 EMA-BB or EBB is broken at the upper band, deviating by more than 162% of price over a 200 period EMA, and that break is not above the 50 EMA cloud, there will be no snowflake. However, if it exceeds the 13, 21, 50, and 200 clouds, then a purple snowflake will appear above the bar.
Any snowflake is an extreme in price. The purple is an especially good point of entry. That doesn't mean it is a perfect entry. You can build position from it, though, and be relatively certain of a price correction in the near future, because not only was this major EMA cloud violated, but all of the smaller ones too.
Reminder
You still need your PVSRA and candlesticks. This indicator on its own may have a nice hit rate for scalping and building position, as an alternative to the TDI or alongside it, but it is not enough on its own, just like the TDI.
Enjoy!
