Support and Resistance Power Channel [ChartPrime]The Support and Resistance Power Channel indicator helps traders visualize key support and resistance zones, along with buy and sell power within those zones. By identifying the highest and lowest prices within a defined range, this indicator provides insight into potential price reversals and market strength. It calculates the strength of buy and sell pressure within the zones and includes additional features like midline values and delayed signals to reduce false breakouts.
⯁ KEY FEATURES AND HOW TO USE
⯌ Support and Resistance Zones :
This indicator identifies dynamic support (lower zone) and resistance (upper zone) levels, allowing traders to easily visualize key price levels. These zones are customizable with settings for the length of the channel and how far the zones extend into the future. The zones can be used to predict areas of potential price reversal or consolidation.
⯌ Buy and Sell Power :
Within the upper resistance zone, the indicator calculates Sell Power based on the number of bearish candles, while the lower support zone calculates Buy Power based on bullish candles. This feature helps traders understand the strength of buying or selling activity within each zone.
Example of buy and sell power tracking:
⯌ Highest, Lowest, and Mid Price Levels :
The indicator marks the highest and lowest price levels within the channel with an "X," and displays these values at the end of the channel. Additionally, the midline (average of the high and low) is plotted with a dotted line, showing a key area that the price often retests during trends.
⯌ Delayed Signal Markers :
To prevent false breakouts, the indicator includes a 2-bar delay for signals. These signals are plotted when the price crosses above or below the resistance or support zones, confirming potential reversals or breakouts. Arrows or diamonds are used to mark these signals on the chart.
Example of delayed breakout signals on the chart:
⯌ Extend Zones into the Future :
In the settings, traders can extend the support and resistance zones further into the future, allowing for ongoing analysis even after the initial levels have been identified. This feature can help with forward-looking trade planning.
⯁ USER INPUTS
Length : Defines the number of bars used to calculate the support and resistance zones.
Extend : Sets how far the support and resistance zones should be extended into the future.
Top and Bottom Colors : Allows customization of the colors for the support and resistance zones.
⯁ CONCLUSION
The Support and Resistance Power Channel indicator provides a powerful and visually intuitive way to track key market levels, buy and sell pressure, and potential reversals. With its real-time zone plotting and the calculation of power within each zone, it offers traders essential insights for making more informed trading decisions.
Cari dalam skrip untuk "track"
SessionBarThis PineScript is designed to display various visual elements on a chart to help traders track session activity within the lower time frames, specifically for the USA main session. Here's a breakdown of the script's functionality:
Session Tracking
The script tracks the USA main session, defined as 9:30 AM to 4:00 PM ET, Monday through Friday.
Visual Elements
The script displays various visual elements, including:
1. Session Open and Close Lines: Lines marking the open and close of the USA main session.
2. Session High and Low Lines: Lines marking the high and low of the USA sessions.
3. Active Session Bar: A Realtime Candle as the current session bar.
4. Overnight Session Bar: A Realtime Candle as the overnight session bar.
5. Session Timer: A label displaying the time left until the next session.
6. Background Colors: Colors indicating different session periods, such as pre-market, post-market, and active session.
Customization
The script allows users to customize various aspects, including:
1. Session Time: Users can adjust the session time.
2. Colors: Users can choose colors for different visual elements.
3. Display Options: Users can toggle the display of various visual elements.
Overall, this script provides a educational tool for traders to track session activity and visualize key market data.
Logarithmic Regression Channel-Trend [BigBeluga]
This indicator utilizes logarithmic regression to track price trends and identify overbought and oversold conditions within a trend. It provides traders with a dynamic channel based on logarithmic regression, offering insights into trend strength and potential reversal zones.
🔵Key Features:
Logarithmic Regression Trend Tracking: Uses log regression to model price trends and determine trend direction dynamically.
f_log_regression(src, length) =>
float sumX = 0.0
float sumY = 0.0
float sumXSqr = 0.0
float sumXY = 0.0
for i = 0 to length - 1
val = math.log(src )
per = i + 1.0
sumX += per
sumY += val
sumXSqr += per * per
sumXY += val * per
slope = (length * sumXY - sumX * sumY) / (length * sumXSqr - sumX * sumX)
average = sumY / length
intercept = average - slope * sumX / length + slope
Regression-Based Channel: Plots a log regression channel around the price to highlight overbought and oversold conditions.
Adaptive Trend Colors: The color of the regression trend adjusts dynamically based on price movement.
Trend Shift Signals: Marks trend reversals when the log regression line cross the log regression line 3 bars back.
Dashboard for Key Insights: Displays:
- The regression slope (multiplied by 100 for better scale).
- The direction of the regression channel.
- The trend status of the logarithmic regression band.
🔵Usage:
Trend Identification: Observe the regression slope and channel direction to determine bullish or bearish trends.
Overbought/Oversold Conditions: Use the channel boundaries to spot potential reversal zones when price deviates significantly.
Breakout & Continuation Signals: Price breaking outside the channel may indicate strong trend continuation or exhaustion.
Confirmation with Other Indicators: Combine with volume or momentum indicators to strengthen trend confirmation.
Customizable Display: Users can modify the lookback period, channel width, midline visibility, and color preferences.
Logarithmic Regression Channel-Trend is an essential tool for traders who want a dynamic, regression-based approach to market trends while monitoring potential price extremes.
The Investment Clock Orbital GraphThe Investment Clock Orbital Graph is an advanced visualization tool designed to help traders and investors track economic cycles using a dynamic scatter plot of GDP growth vs. CPI inflation rates.
This indicator is a fusion of two powerful TradingView indicators:
LuxAlgo ’s Relative Strength Scatter Plot – A robust scatter plot for tracking relative strength.
The Investment Clock Indicator – A cycle-based approach to market rotation. This indicator contains more information regarding The Investment Clock.
By combining these approaches, the Investment Clock Orbital Graph enables traders to visualize economic momentum and inflationary trends in a unique, orbital-style scatter plot.
Key Features & Improvements
Orbital Graph Representation – Displays GDP growth and CPI inflation as a dynamic, evolving scatter plot, showing how the economy moves through different phases.
Quadrant-Based Market Regimes – Identifies four key economic phases:
1)🔥 Overheating (High Growth, High Inflation)
2)📉 Stagflation (Low Growth, High Inflation)
3)🤒 Recovery (High Growth, Low Inflation)
4)🎈 Reflation (Low Growth, Low Inflation)
Data-Driven Analysis – Utilizes FRED (Federal Reserve Economic Data) for accurate real-world GDP & CPI data.
Trailing Path of Economic Evolution – Tracks historical economic cycles over time to show momentum and cyclical movements.
Customizable Parameters – Set sustainable GDP growth and inflation thresholds, adjust trail length, and fine-tune scatter plot resolution.
Auto-Labeled Quadrants & Revised Accurate Market Guidance – Each quadrant includes newly updated tooltips and annotations (like ETF suggestions) to help traders make informed decisions.
Live Macro Forecasting Tool – Helps traders anticipate future market conditions, rate hikes/cuts, and sector rotations.
How to Use for Trading Decisions
The Investment Clock Orbital Graph helps traders and macro investors by identifying market phases and providing insights into asset class performance during different economic conditions.
📌 Step 1: Identify the Current Quadrant
Locate the most recent point on the orbital graph to see if the economy is in Overheating, Stagflation, Recovery, or Reflation.
📌 Step 2: Forecast Market Trends
The trajectory of the points can predict upcoming economic shifts:
Overheating → Stagflation ➡️ Expect economic slowdowns, bearish stock markets.
Stagflation → Reflation ➡️ Interest rate cuts likely, bonds and defensive stocks perform well.
Reflation → Recovery ➡️ Risk-on rally, technology and cyclicals perform best.
Recovery → Overheating ➡️ Commodities surge, inflation rises, and central banks intervene.
📌 Step 3: Align Trading & Investing Strategies
🔥 Overheating – Favor commodities & energy (Oil, Industrial Stocks, Materials).
📉 Stagflation – Favor defensive assets (Cash, Utilities, Healthcare).
🤒 Recovery – Favor growth stocks (Technology, Consumer Discretionary).
🎈 Reflation – Favor bonds, value stocks, and financials.
📌 Step 4: Monitor Trends Over Time
The indicator visualizes economic movement over multiple months, allowing traders to confirm long-term trends vs. short-term noise.
The Investment Clock Orbital Graph is an essential macro trading tool, providing a real-time visualization of economic conditions. By tracking GDP growth vs. CPI inflation, traders and investors can align their portfolios with major macroeconomic shifts, predict sector rotations, and anticipate central bank policy changes.
[S1B] Engulfing Orderblock
The Engulfing Orderblock indicator is a custom script designed to visually highlight and track bullish and bearish engulfing patterns on a price chart. These patterns are widely used in technical analysis to identify potential reversal points. The indicator dynamically draws colored boxes around the previous candle involved in the engulfing event, making it easier for traders to spot these setups in the price action.
Key Features:
Bullish Engulfing Pattern:
When a bearish candle (one where the open is higher than the close) is followed by a candle whose close is above the previous candle’s open, the indicator detects a bullish engulfing pattern. A green box is drawn around the previous candle.
• Box Style Options: Users can choose whether the box represents the candle’s body (from open to close) or its wick (from open to low).
Bearish Engulfing Pattern:
When a bullish candle (one where the open is lower than the close) is followed by a candle whose close is below the previous candle’s open, a bearish engulfing pattern is identified. A red box is drawn around the previous candle.
• Box Style Options: The box can be drawn using the candle’s body (from close to open) or its wick (from high to open), according to the user’s preference.
Dynamic Box Management:
Once a box is drawn, the indicator continuously monitors the price. If the price moves beyond the box’s range, the box is either deleted or its color changes to gray, indicating that the pattern’s relevance may be diminishing.
Max Pattern Tracking:
To prevent clutter, the indicator limits the number of displayed engulfing boxes to 500 by default. Older boxes are removed as new patterns are detected.
Customization:
Users can adjust the number of previous bars scanned for engulfing patterns as well as the maximum number of patterns displayed. An option is also provided to select whether the box should reflect the candle’s body or include the wick.
How It Works:
Pattern Detection:
The script compares the current price with the previous candle’s data to detect either a bullish or bearish engulfing pattern.
Box Creation:
When a pattern is detected, a colored box is drawn around the previous candle’s price range (using the user-selected style) to visually highlight the orderblock.
Pattern Expiry and Cleanup:
The indicator monitors each drawn box, deleting or modifying it (changing the color to gray) if the price moves significantly beyond the box’s range.
Remark:
The original concept for this indicator is from daisukeburn .
Advanced Support and Resistance Levels[MAP]Advanced Support and Resistance Levels Indicator
Author
Developed by:
Overview
The "Advanced Support and Resistance Levels" indicator, created, is a sophisticated tool designed for TradingView's Pine Script v6 platform. It identifies and plots key support and resistance levels on a price chart, enhancing technical analysis by incorporating pivot strength, volume weighting, and level decay. The indicator overlays lines, zones, and labels on the chart, providing a visual representation of significant price levels where the market has historically reversed or consolidated.
Purpose
This indicator, authored by , aims to:
Detect significant pivot points (highs and lows) with customizable strength requirements.
Track and rank support/resistance levels based on their recency, volume, and number of touches.
Display these levels as lines and optional zones, with strength-based visual cues (e.g., line thickness and opacity).
Offer flexibility through user-configurable settings to adapt to different trading styles and market conditions.
Features
Pivot Detection:
Identifies high and low pivots using a strength parameter, requiring a specified number of bars on either side where no higher highs or lower lows occur.
Incorporates closing price checks and SMA-based trend confirmation to filter out noise and ensure pivots align with the broader market direction.
Level Management:
Maintains a dynamic array of levels with attributes: price, type (support/resistance), bars since last touch, strength, and volume.
Merges nearby levels within a tolerance percentage, updating prices with a strength-weighted average.
Prunes weaker or older levels when exceeding the maximum allowed, prioritizing those with higher calculated strength.
Strength Calculation:
Combines the number of touches (strength), volume (if enabled), and age decay (if enabled) into a single metric.
Volume weighting uses a logarithmic scale to emphasize high-volume pivots without over-amplifying extreme values.
Age decay reduces the importance of older levels over time, ensuring relevance to current price action.
Visualization:
Draws horizontal lines at each level, with thickness reflecting the number of touches (up to a user-defined maximum).
Optional price zones around levels, sized as a percentage of the price, to indicate areas of influence.
Labels display the level type (S for support, R for resistance), price, and strength score, with position (left or right) customizable.
Line opacity varies with strength, providing a visual hierarchy of level significance.
Plots small triangles at detected pivot points for reference.
Inputs
Lookback Period (lookback, default: 20): Number of bars to consider for trend confirmation via SMA. Range: 5–100.
Pivot Strength (strength, default: 2): Number of bars required on each side of a pivot to confirm it. Range: 1–10.
Price Tolerance % (tolerance, default: 0.5): Percentage range for merging similar levels. Range: 0.1–5.
Max Levels to Show (maxLevels, default: 10): Maximum number of levels displayed. Range: 2–50.
Zone Size % (zoneSizePercent, default: 0.1): Size of the S/R zone as a percentage of the price. Range: 0–1.
Line Width (lineWidth, default: 1): Maximum thickness of level lines. Range: 1–5.
Show Labels (showLabels, default: true): Toggle visibility of level labels.
Label Position (labelPos, default: "Right"): Position of labels ("Left" or "Right").
Level Strength Decay (levelDecay, default: true): Enable gradual reduction in strength for older levels.
Volume Weighting (volumeWeight, default: true): Incorporate volume into level strength calculations.
Support Color (supportColor, default: green): Color for support levels.
Resistance Color (resistColor, default: red): Color for resistance levels.
How It Works
Pivot Detection:
Checks for pivots only after enough bars (2 * strength) have passed.
A high pivot requires strength bars before and after with no higher highs or closes, and a short-term SMA above a long-term SMA.
A low pivot requires strength bars before and after with no lower lows or closes, and a short-term SMA below a long-term SMA.
Level Tracking:
New pivots create levels with initial strength and volume.
Existing levels within tolerance are updated: strength increases, volume takes the maximum value, and price adjusts via a weighted average.
Levels older than lookback * 4 bars with strength below 0.5 are removed.
If the number of levels exceeds maxLevels, the weakest (by calculated strength) are pruned using a selection sort algorithm.
Drawing:
Updates on the last confirmed bar or in real-time.
Lines extend lookback bars left and right from the current bar, with thickness based on touches.
Zones (if enabled) are drawn symmetrically around the level price.
Labels show detailed info, with opacity tied to strength.
Usage
Add to Chart: Apply the indicator to any TradingView chart via the Pine Script editor, as designed by .
Adjust Settings: Customize inputs to match your trading strategy (e.g., increase strength for stronger pivots, adjust tolerance for tighter level merging).
Interpret Levels: Focus on thicker, less transparent lines for stronger levels; use zones to identify potential reversal areas.
Combine with Other Tools: Pair with trend indicators or oscillators for confluence in trading decisions.
Notes
Performance: The indicator uses arrays and sorting, which may slow down on very long charts with many levels. Keep maxLevels reasonable for efficiency.
Accuracy: Enhanced by trend confirmation and volume weighting, making it more reliable than basic S/R indicators, thanks to 's design.
Limitations: Real-time updates may shift levels as new pivots form; historical levels are more stable.
Example Settings
For day trading: lookback=10, strength=1, tolerance=0.3, maxLevels=5.
For swing trading: lookback=50, strength=3, tolerance=0.7, maxLevels=10.
Credits
Author: – Creator of this advanced support and resistance tool, blending precision and customization for traders.
Market Snap Shot with Pine ScreenerMarket Snap Shot
The Market Snap Shot is a comprehensive technical analysis tool designed to track and display key price metrics across multiple timeframes, including daily, weekly, monthly, quarterly, and yearly data. This script provides a range of essential calculations for traders and investors, enabling them to assess price action, volatility, and market trends at a glance.
Features:
Daily Metrics: Includes the daily percentage change, closing range relative to the daily high/low.
Weekly Metrics: Tracks weekly open, close, range, and calculates week-to-date performance for a broader market view.
Monthly Metrics: Provides similar calculations for monthly price action, offering insights into monthly performance.
Quarter-to-Date (QTD): Displays performance for the current quarter, offering insights into quarterly price movements.
Year-to-Date (YTD): Calculates year-to-date price change, helping users track performance relative to the start of the year.
52-Week High/Low: Displays the current price's distance from the 52-week high and low, giving context to long-term price levels.
Usage:
Traders can use this screener to quickly assess the current market position and make informed decisions based on short-term and long-term trends.
Investors can leverage the 52-week and YTD metrics to gauge the overall strength of an asset in the market.
The tool is versatile for both active traders looking for real-time performance data and for those focusing on longer-term market trends.
Instructions:
This script displays multiple metrics such as percentage changes and range data for daily, weekly, monthly, quarterly, and yearly timeframes. It is designed to be used as a screener tool to assess price action and monitor performance across these key time periods.
Warning:
The "Market Snap Shot" does not provide buy or sell signals but rather serves as a performance tracking tool. Users are encouraged to use this data in conjunction with other technical and fundamental analysis tools.
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Uptrick Signal Density Cloud🟪 Introduction
The Uptrick Signal Density Cloud is designed to track market direction and highlight potential reversals or shifts in momentum. It plots two smoothed lines on the chart and fills the space between them (often called a “cloud”). The bars on the chart change color depending on bullish or bearish conditions, and small triangles appear when certain reversal criteria are met. A metrics table displays real-time values for easy reference.
🟩 Why These Features Have Been Linked Together
1) Dual-Line Structure
Two separate lines represent shorter- and longer-term market tendencies. Linking them in one tool allows traders to view both near-term changes and the broader directional bias in a single glance.
2) Smoothed Averages
The script offers multiple smoothing methods—exponential, simple, hull, and an optimized approach—to reduce noise. Using more than one type of moving average can help balance responsiveness with stability.
3) Density Cloud Concept
Shading the region between the two lines highlights the gap or “thickness.” A wider gap typically signals stronger momentum, while a narrower gap could indicate a weakening trend or potential market indecision. When the cloud is too wide and crosses a certain threshold defined by the user, it indicates a possible reversal. When the cloud is too narrow it may indicate a potential breakout.
🟪 Why Use This Indicator
• Trend Visibility: The color-coded lines and bars make it easier to distinguish bullish from bearish conditions.
• Momentum Tracking: Thicker cloud regions suggest stronger separation between the faster and slower lines, potentially indicating robust momentum.
• Possible Reversal Alerts: Small triangles appear within thick zones when the indicator detects a crossover, drawing attention to key moments of potential trend change.
• Quick Reference Table: A metrics table shows line values, bullish or bearish status, and cloud thickness without needing to hover over chart elements.
🟩 Inputs
1) First Smoothing Length (length1)
Default: 14
Defines the lookback period for the faster line. Lower values make the line respond more quickly to price changes.
2) Second Smoothing Length (length2)
Default: 28
Defines the lookback period for the slower line or one of the moving averages in optimized mode. It generally responds more slowly than the faster line.
3) Extra Smoothing Length (extraLength)
Default: 50
A medium-term period commonly seen in technical analysis. In optimized mode, it helps add broader perspective to the combined lines.
4) Source (source)
Default: close
Specifies the price data (for example, open, high, low, or a custom source) used in the calculations.
5) Cloud Type (cloudType)
Options: Optimized, EMA, SMA, HMA
Determines the smoothing method used for the lines. “Optimized” blends multiple exponential averages at different lengths.
6) Cloud Thickness Threshold (thicknessThreshold)
Default: 0.5
Sets the minimum separation between the two lines to qualify as a “thick” zone, indicating potentially stronger momentum.
🟪 Core Components
1) Faster and Slower Lines
Each line is smoothed according to user preferences or the optimized technique. The faster line typically reacts more quickly, while the slower line provides a broader overview.
2) Filled Density Cloud
The space between the two lines is filled to visualize in which direction the market is trending.
3) Color-Coded Bars
Price bars adopt bullish or bearish colors based on which line is on top, providing an immediate sense of trend direction.
4) Reversal Triangles
When the cloud is thick (exceeding the threshold) and the lines cross in the opposite direction, small triangles appear, signaling a possible market shift.
5) Metrics Table
A compact table shows the current values of both lines, their bullish/bearish statuses, the cloud thickness, and whether the cloud is in a “reversal zone.”
🟩 Calculation Process
1) Raw Averages
Depending on the mode, standard exponential, simple, hull, or “optimized” exponential blends are calculated.
2) Optimized Averages (if selected)
The faster line is the average of three exponential moving averages using length1, length2, and extraLength.
The slower line similarly uses those same lengths multiplied by 1.5, then averages them together for broader smoothing.
3) Difference and Threshold
The absolute gap between the two lines is measured. When it exceeds thicknessThreshold, the cloud is considered thick.
4) Bullish or Bearish Determination
If sma1 (the faster line) is above sma2 (the slower line), conditions are deemed bullish; otherwise, they are bearish. This distinction is reflected in both bar colors and cloud shading.
5) Reversal Markers
In thick zones, a crossover triggers a triangle at the point of potential reversal, alerting traders to a possible trend change.
🟪 Smoothing Methods
1) Exponential (EMA)
Prioritizes recent data for quicker responsiveness.
2) Simple (SMA)
Takes a straightforward average of the chosen period, smoothing price action but often lagging more in volatile markets.
3) Hull (HMA)
Employs a specialized formula to reduce lag while maintaining smoothness.
4) Optimized (Blended Exponential)
Combines multiple EMA calculations to strike a balance between responsiveness and noise reduction.
🟩 Cloud Logic and Reversal Zones
Cloud thickness above the defined threshold typically signals exceeding momentum and can lead to a quick reversal. During these thick periods, if the width exceeds the defined threshold, small triangles mark potential reversal points. In order for the reversal shape to show, the color of the cloud has to be the opposite. So, for example, if the cloud is bearish, and exceeds momentum, defined by the user, a bullish signal appears. The opposite conditions for a bullish signal. This approach can help traders focus on notable changes rather than minor oscillations.
🟪 Bar Coloring and Layered Lines
Bars take on bullish or bearish tints, matching the faster line’s position relative to the slower line. The lines themselves are plotted multiple times with varying opacities, creating a layered, glowing look that enhances visibility without affecting calculations.
🟩 The Metrics Table
Located in the top-right corner of the chart, this table displays:
• SMA1 and SMA2 current values.
• Bullish or bearish alignment for each line.
• Cloud thickness.
• Reversal zone status (in or out of zone).
This numeric readout allows for a quick data check without hovering over the chart.
🟪 Why These Specific Moving Average Lengths Are Used
Default lengths of 14, 28, and 50 are common in technical analysis. Fourteen captures near-term price movement without overreacting. Twenty-eight, roughly double 14, provides a moderate smoothing level. Fifty is widely regarded as a medium-term benchmark. Multiplying each length by 1.5 for the slower line enhances separation when combined with the faster line.
🟩 Originality and Usefulness
• Multi-Layered Smoothing. The user can select from several moving average modes, including a unique “optimized” blend, possibly reducing random fluctuations in the market data.
• Combined Visual and Numeric Clarity. Bars, clouds, and a real-time table merge into a single interface, enabling efficient trend analysis.
• Focus on Significant Shifts. Thick cloud zones and triangles draw attention to potentially stronger momentum changes and plausible reversals.
• Flexible Across Markets. The adjustable lengths and threshold can be tuned to different asset classes (stocks, forex, commodities, crypto) and timeframes.
By integrating multiple technical concepts—cloud-based trend detection, color coding, reversal markers, and an immediate reference table—the Uptrick Signal Density Cloud aims to streamline chart reading and decision-making.
🟪 Additional Considerations
• Timeframes. Intraday, daily, and weekly charts each yield different signals. Adjust the smoothing lengths and threshold to suit specific trading horizons.
• Market Types. Though applicable across asset classes, parameters might need tweaking to address the volatility of commodities, forex pairs, or cryptocurrencies.
• Confirmation Tools. Pairing this indicator with volume studies or support/resistance analysis can improve the reliability of signals.
• Potential Limitations. No indicator is foolproof; sudden market shifts or choppy conditions may reduce accuracy. Cautious position sizing and risk management remain essential.
🟩 Disclaimers
The Uptrick Signal Density Cloud relies on historical price data and may lag sudden moves or provide false positives in ranging conditions. Always combine it with other analytical techniques and sound risk management. This script is offered for educational purposes only and should not be considered financial advice.
🟪 Conclusion
The Uptrick Signal Density Cloud blends trend identification, momentum assessment, and potential reversal alerts in a single, user-friendly tool. With customizable smoothing methods and a focus on cloud thickness, it visually highlights important market conditions. While it cannot guarantee predictive accuracy, it can serve as a comprehensive reference for traders seeking both a quick snapshot of the current trend and deeper insights into market dynamics.
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
Overnight High/LowThe script identifies the Overnight High (the highest price) and Overnight Low (the lowest price) for a trading instrument during a specified overnight session. It then plots these levels on the chart for reference in subsequent trading sessions.
Key Features:
Time Settings:
The script defines the start (startHour) and end (endHour + endMinute) times for the overnight session.
The session spans across two calendar days, such as 5:00 PM (17:00) to 9:30 AM (09:30).
Tracking High and Low:
During the overnight session, the script dynamically tracks:
Overnight High: The highest price reached during the session.
Overnight Low: The lowest price reached during the session.
Reset Mechanism:
After the overnight session ends (at the specified end time), the script resets the overnightHigh and overnightLow variables, preparing for the next session.
Visual Representation:
The script uses horizontal dotted lines to plot:
A green line for the Overnight High.
A red line for the Overnight Low.
These lines extend to the right of the chart, providing visual reference points for traders.
How It Works:
Session Detection:
The script checks whether the current time falls within the overnight session:
If the hour is greater than or equal to the start hour (e.g., 17:00).
Or if the hour is less than or equal to the end hour (e.g., 09:30), considering the next day.
The end minute (e.g., 30 minutes past the hour) is also considered for precision.
High and Low Calculation:
During the overnight session:
If the overnightHigh is not yet defined, it initializes with the current candle's high.
If already defined, it updates by comparing the current candle's high to the existing overnightHigh using the math.max function.
Similarly, overnightLow is initialized or updated using the math.min function.
Post-Session Reset:
After the session ends, the script clears the overnightHigh and overnightLow variables by setting them to na (not available).
Line Drawing:
The script draws horizontal dotted lines for the Overnight High and Low during and after the session.
The lines extend indefinitely to the right of the chart.
Benefits:
Visual Aid: Helps traders quickly identify overnight support and resistance levels, which are critical for intraday trading.
Automation: Removes the need for manually plotting these levels each day.
Customizable: Time settings can be adjusted to match different markets or trading strategies.
This script is ideal for traders who use the overnight range as part of their analysis for breakouts, reversals, or trend continuation strategies.
Crypto Sectors Performance [Daveatt]IMPORTANT
⚠️ This script must be used on the Daily timeframe only.
OVERVIEW
This indicator brings the powerful sector analysis capabilities from velo.xyz/market's
Sector Performance chart to TradingView.
It enables traders to track and compare performance across the crypto market's major sectors, providing essential insights for sector rotation strategies and market analysis.
CALCULATION METHOD
The indicator calculates performance across six key crypto sectors: DeFi, Gaming, Layer 1s, Layer 2s, AI, and Memecoins.
For each sector, it computes a rolling percentage performance by averaging the performance of multiple representative tokens.
All sector performances are rebased to 0% at the start of each period, making relative comparisons clear and intuitive.
VISUALIZATION MODES
The script features two distinct visualization methods:
Plots Mode:
Displays continuous performance lines for each sector over time, ideal for tracking relative strength trends and sector momentum. Each sector has its own color-coded line with performance values clearly marked.
Bars Mode:
Presents current sector performance as vertical bars, offering an immediate visual comparison of sector gains and losses.
The bars are color-coded and labeled with exact percentage values for precise analysis.
For the "Bars Mode", I used the box.new() function
SECTOR COMPOSITION
Each sector comprises carefully selected representative tokens:
- DeFi: AAVE, 1INCH, JUP, MKR, UNI
- Gaming: GALA, AXS, RONIN, SAND
- Layer 1: BTC, ETH, AVAX, APT, SOL, BNB, SUI
- Layer 2: ARB, OP, ZK, POL, STRK, MNT
- AI: FET, NEAR, RENDER, TAO
- Memecoins: PEPE, BONK, SHIB, DOGE, WIFU, POPCAT
PERFORMANCE TRACKING
The indicator implements a rolling window approach for performance calculations.
Starting from 0% at the beginning of each period, it tracks relative performance with positive values indicating outperformance and negative values showing underperformance.
Multiple timeframe options (1W, 1M, 3M, 6M, and 1Y) allow for both short-term and long-term analysis.
APPLICATIONS
This tool proves invaluable for:
- Sector rotation analysis
- Identifying trending sectors
- Comparing relative strength
- Gauging market sentiment
- Understanding market structure through sector performance
Thanks for reading and for the support
Daveatt
Dynamic Support & Resistance based on SMI CrossoverExplanation:
SMI Calculation: The script calculates the Stochastic Momentum Index (SMI) and its signal line using the specified input lengths.
Crossover Detection: It detects when the SMI crosses above (crossUp) or below (crossDown) its signal line.
Period Tracking: The script keeps track of up and down periods based on SMI crossovers. During an up period, it records the lowest low (support), and during a down period, it records the highest high (resistance).
Support and Resistance Levels: When a crossover occurs, it captures the highest or lowest value since the last crossover to define dynamic resistance and support levels.
Midline Calculation: The midline is calculated as the average of the current support and resistance levels.
Buy and Sell Signals: Buy signals are generated when the close price crosses above the midline, and sell signals are generated when it crosses below.
Plotting: The support, resistance, and midline are plotted on the upper chart. Buy and sell signals are indicated with arrows. Trendlines are added for visual clarity.
Note: This indicator should be used in conjunction with other analysis tools and is intended for educational purposes. Always perform thorough analysis before making trading decisions.
Like all technical indicators, this script is based on historical data and may not predict future market movements.
Always perform due diligence and consider multiple factors when making trading decisions.
Manual Trading Checklist by Afnan TajuddinHey traders! This Trading Checklist indicator like your personal to-do list right on your chart! Here’s what it does:
Easy Tracking: Seven checkboxes to make sure you’ve done all your trading steps.
Colorful Signs: Green "✔" for done stuff and red "✘" for things you need to fix.
Make It Yours: Change where the table is on the chart, pick your favorite colors, and set the text size just how you like it.
Simple Setup: Rename the checklist items and toggle them on or off in the settings.
Clean Look: It stays neat on your chart without messing things up.
Whether you’re just starting out or you’ve been trading for a while, this checklist helps you stay organized and stick to your plan. Perfect for anyone who loves keeping things tidy and on track!
Important to Know: This checklist is not dynamic or automatic and not specific to any symbol. You need to manually check it every time for all the stocks you’re planning to trade. It won’t do the checking for you, so make sure to update it yourself! 🚨
FTMO Rules MonitorFTMO Rules Monitor: Stay on Track with Your FTMO Challenge Goals
TLDR; You can test with this template whether your strategy for one asset would pass the FTMO challenges step 1 then step 2, then with real money conditions.
Passing a prop firm challenge is ... challenging.
I believe a toolkit allowing to test in minutes whether a strategy would have passed a prop firm challenge in the past could be very powerful.
The FTMO Rules Monitor is designed to help you stay within FTMO’s strict risk management guidelines directly on your chart. Whether you’re aiming for the $10,000 or the $200,000 account challenge, this tool provides real-time tracking of your performance against FTMO’s rules to ensure you don’t accidentally breach any limits.
NOTES
The connected indicator for this post doesn't matter.
It's just a dummy double supertrends (see below)
The strategy results for this script post does not matter as I'm posting a FTMO rules template on which you can connect any indicator/strategy.
//@version=5
indicator("Supertrends", overlay=true)
// Supertrend 1 Parameters
var string ST1 = "Supertrend 1 Settings"
st1_atrPeriod = input.int(10, "ATR Period", minval=1, maxval=50, group=ST1)
st1_factor = input.float(2, "Factor", minval=0.5, maxval=10, step=0.5, group=ST1)
// Supertrend 2 Parameters
var string ST2 = "Supertrend 2 Settings"
st2_atrPeriod = input.int(14, "ATR Period", minval=1, maxval=50, group=ST2)
st2_factor = input.float(3, "Factor", minval=0.5, maxval=10, step=0.5, group=ST2)
// Calculate Supertrends
= ta.supertrend(st1_factor, st1_atrPeriod)
= ta.supertrend(st2_factor, st2_atrPeriod)
// Entry conditions
longCondition = direction1 == -1 and direction2 == -1 and direction1 == 1
shortCondition = direction1 == 1 and direction2 == 1 and direction1 == -1
// Optional: Plot Supertrends
plot(supertrend1, "Supertrend 1", color = direction1 == -1 ? color.green : color.red, linewidth=3)
plot(supertrend2, "Supertrend 2", color = direction2 == -1 ? color.lime : color.maroon, linewidth=3)
plotshape(series=longCondition, location=location.belowbar, color=color.green, style=shape.triangleup, title="Long")
plotshape(series=shortCondition, location=location.abovebar, color=color.red, style=shape.triangledown, title="Short")
signal = longCondition ? 1 : shortCondition ? -1 : na
plot(signal, "Signal", display = display.data_window)
To connect your indicator to this FTMO rules monitor template, please update it as follow
Create a signal variable to store 1 for the long/buy signal or -1 for the short/sell signal
Plot it in the display.data_window panel so that it doesn't clutter your chart
signal = longCondition ? 1 : shortCondition ? -1 : na
plot(signal, "Signal", display = display.data_window)
In the FTMO Rules Monitor template, I'm capturing this external signal with this input.source variable
entry_connector = input.source(close, "Entry Connector", group="Entry Connector")
longCondition = entry_connector == 1
shortCondition = entry_connector == -1
🔶 USAGE
This indicator displays essential FTMO Challenge rules and tracks your progress toward meeting each one. Here’s what’s monitored:
Max Daily Loss
• 10k Account: $500
• 25k Account: $1,250
• 50k Account: $2,500
• 100k Account: $5,000
• 200k Account: $10,000
Max Total Loss
• 10k Account: $1,000
• 25k Account: $2,500
• 50k Account: $5,000
• 100k Account: $10,000
• 200k Account: $20,000
Profit Target
• 10k Account: $1,000
• 25k Account: $2,500
• 50k Account: $5,000
• 100k Account: $10,000
• 200k Account: $20,000
Minimum Trading Days: 4 consecutive days for all account sizes
🔹 Key Features
1. Real-Time Compliance Check
The FTMO Rules Monitor keeps track of your daily and total losses, profit targets, and trading days. Each metric updates in real-time, giving you peace of mind that you’re within FTMO’s rules.
2. Color-Coded Visual Feedback
Each rule’s status is shown clearly with a ✓ for compliance or ✗ if the limit is breached. When a rule is broken, the indicator highlights it in red, so there’s no confusion.
3. Completion Notification
Once all FTMO requirements are met, the indicator closes all open positions and displays a celebratory message on your chart, letting you know you’ve successfully completed the challenge.
4. Easy-to-Read Table
A table on your chart provides an overview of each rule, your target, current performance, and whether you’re meeting each goal. The table adjusts its color scheme based on your chart settings for optimal visibility.
5. Dynamic Position Sizing
Integrated ATR-based position sizing helps you manage risk and avoid large drawdowns, ensuring each trade aligns with FTMO’s risk management principles.
Daveatt
J Lines EMA + VWAPThe EMA + VWAP indicator combines the power of Exponential Moving Averages (EMA) with the Volume Weighted Average Price (VWAP) to help traders spot trends, identify potential entries/exits, and understand market momentum with ease. This dual-purpose tool is designed to give both beginner and experienced traders a clear view of price direction and volume influence, whether for day trading or swing trading.
Key Features:
Dynamic EMA Lines:
Six customizable moving averages (EMA by default) adapt to your selected timeframe. EMAs help track trend direction and strength, with various colors and opacity settings that visually separate them for clarity.
VWAP Tracking: A standalone VWAP line (blue) shows the average trading price adjusted for volume, making it ideal for pinpointing significant price levels where institutional interest often lies.
EMA Ribbons for Trend Confirmation: Soft-colored ribbons are placed between EMA pairs to make the trend strength visually apparent, with different color fills between lines. This makes it easy to gauge bullish or bearish conditions at a glance.
Flexible MA Options: Besides EMA, you can choose from SMA, WMA, HMA, and RMA, allowing you to adapt the indicator to various trading strategies.
This tool simplifies trend-following and volume-based analysis by giving you insight into both price momentum and market participation levels. EMAs adapt to volatility and changing market conditions, while the VWAP keeps you aware of critical price zones based on trading volume. Together, these help you stay on the right side of the market, avoid false breakouts, and make informed decisions on when to enter or exit trades.
Ideal for beginners due to its visual clarity and flexible enough for seasoned traders, EMA + VWAP is your go-to indicator for a structured approach to market trends.
Percent Trend Change [BigBeluga]The Percent Trend Change indicator is a trend-following tool that provides real-time percentage changes during trends based on entry prices. Using John Ehlers’ Ultimate Smoother filter, it detects trend direction, identifies uptrends and downtrends, and tracks percentage changes during the trend. Additionally, it has a channel that can be toggled on or off, and the width can be customized, adding an extra visual layer to assess trend strength and direction.
NIFTY50:
META:
🔵 IDEA
The Percent Trend Change indicator helps traders visualize the progression of a trend with percentage changes from entry points. It identifies trends and marks percentage changes during the trend, making it easier to assess the strength and sustainability of the ongoing trend.
The use of John Ehlers' Ultimate Smoother filter helps detect trend changes based on consecutive price movements over five bars, making it highly responsive to short- and medium-term trends.
🔵 KEY FEATURES & USAGE
◉ Ultimate Smoother Filter for Trend Detection:
The trend is detected using the Ultimate Smoother filter. If the smoothed line rises five times in a row, the indicator identifies an uptrend. If it falls five times in a row, it identifies a downtrend.
◉ Trend Entry with Price Labels:
The indicator marks trend entry points with up (green) and down (red) triangles. These triangles are labeled with the entry price, allowing traders to track the starting price of the trend.
◉ Percentage Change Labels During Trends:
During a trend, the indicator periodically plots percentage change labels based on the bar period set in the settings.
In an uptrend, positive changes are marked in green, while negative changes are marked in orange. In a downtrend, negative changes are marked in red, while positive changes are marked in orange.
Each plotted percentage label also includes a count of the trend points, allowing traders to track how many times the percentage labels have been plotted during the current trend.
These percentage labels help traders understand how much the price has changed since the trend began and can be used to define potential take-profit targets.
◉ Channel Toggle and Width Customization:
The indicator includes a channel that visually highlights the trend. Traders can toggle this channel on or off, and the width of the channel can be adjusted to match individual preferences. The channel helps visualize the overall trend direction and the range within which price fluctuations occur.
🔵 CUSTOMIZATION
Smoother Length: Adjusts the length of the Ultimate Smoother filter, affecting how responsive the indicator is to price fluctuations.
Bars Percent: Defines how many bars must pass before a new percentage label is plotted. A smaller value plots labels more frequently, while a higher value shows fewer labels.
Channel Width & Show Channel: The width of the channel can be customized, and traders can toggle the channel on or off depending on their preferences.
Color Customization: Traders can customize the colors for the uptrend, downtrend, and percentage labels, providing flexibility in how the indicator is displayed on the chart.
By combining trend-following capabilities with percentage change tracking, the Percent Trend Change indicator offers a powerful tool for identifying trend direction and setting potential take-profit targets. The ability to customize the channel and percentage labels makes it adaptable to various trading strategies.
Magnificent 7 Overall Percentage Change with MA and Angle LabelsMagnificent 7 Overall Percentage Change with MA and Angle Labels
Overview:
The "Magnificent 7 Overall Percentage Change with MA and Angle Labels" indicator tracks the percentage change of seven key tech stocks (Apple, Microsoft, Amazon, NVIDIA, Tesla, Meta, and Alphabet) and displays their overall average percentage change on the chart. It also provides a moving average of this overall change and calculates the angle of the moving average to help traders gauge the momentum and direction of the overall trend.
How it works:
Real-Time Percentage Change: The indicator calculates the percentage change of each of the "Magnificent 7" stocks compared to their previous day's closing price, giving a snapshot of the market's performance.
Overall Average: It then computes the average of the seven stocks' percentage changes to reflect the broader movement of these major tech companies.
Moving Average: The indicator offers a choice of four types of moving averages (SMA, EMA, WMA, or VWMA) to smooth the overall percentage change, allowing traders to focus on the trend rather than short-term fluctuations.
Slope and Angle Calculation: To provide additional insights, the indicator calculates the slope of the moving average and converts it into an angle (in degrees). This can help traders determine the strength of the trend—steeper angles often indicate stronger momentum.
Key Features:
Percentage Change of the "Magnificent 7":
Tracks the percentage change of Apple (AAPL), Microsoft (MSFT), Amazon (AMZN), NVIDIA (NVDA), Tesla (TSLA), Meta (META), and Alphabet (GOOGL) on the current chart's timeframe.
Overall Average Change:
Computes the average percentage change across all seven stocks, giving a combined view of how the most influential tech stocks are performing.
Customizable Moving Averages:
Offers four types of moving averages (SMA, EMA, WMA, VWMA) to provide flexibility in tracking the trend of the overall percentage change.
Angle Calculation:
Measures the angle of the moving average in degrees, which helps assess the strength of the market’s momentum. Alerts and visual cues can be triggered based on the angle's steepness.
Visual Cues:
The percentage change is plotted in green when positive and red when negative, with a background color that changes accordingly. A zero line is plotted for reference.
Use Case:
This indicator is ideal for traders and investors looking to track the collective performance of the most dominant tech companies in the market. It provides real-time insights into how the "Magnificent 7" stocks are moving together and offers clues about potential market momentum based on the direction and angle of their average percentage change.
Customization:
Moving Average Type and Length: Choose between different types of moving averages (SMA, EMA, WMA, VWMA) and adjust the length to suit your preferred timeframe.
Angle Threshold: Set an angle threshold to trigger alerts when the moving average slope becomes too steep, indicating strong momentum.
Alerts:
Alerts can be created based on the crossing of the moving average or when the angle of the moving average exceeds a specified threshold. This ensures traders are notified when the trend is accelerating or decelerating significantly.
Conclusion:
The "Magnificent 7 Overall Percentage Change with MA and Angle Labels" indicator is a powerful tool for those wanting to monitor the performance of the most influential tech stocks, analyze their overall trend, and receive timely alerts when market conditions shift.
Uptrick: TimeFrame Trends: Performance & Sentiment Indicator### **Uptrick: TimeFrame Trends: Performance & Sentiment Indicator (TFT) - In-Depth Explanation**
#### **Overview**
The **Uptrick: TimeFrame Trends: Performance & Sentiment Indicator (TFT)** is a sophisticated trading tool designed to provide traders with a comprehensive view of market trends across multiple timeframes, combined with a sentiment gauge through the Relative Strength Index (RSI). This indicator offers a unique blend of performance analysis, sentiment evaluation, and visual signal generation, making it an invaluable resource for traders who seek to understand both the macro and micro trends within a financial instrument.
#### **Purpose**
The primary purpose of the TFT indicator is to empower traders with the ability to assess the performance of an asset over various timeframes while simultaneously gauging market sentiment through the RSI. By analyzing price changes over periods ranging from one week to one year, and complementing this with sentiment signals, TFT enables traders to make informed decisions based on a well-rounded analysis of historical price performance and current market conditions.
#### **Key Components and Features**
1. **Multi-Timeframe Performance Analysis:**
- **Performance Lookback Periods:**
- The TFT indicator calculates the percentage price change over several predefined timeframes: 7 days (1 week), 14 days (2 weeks), 30 days (1 month), 180 days (6 months), and 365 days (1 year). These timeframes provide a layered view of how an asset has performed over short, medium, and long-term periods.
- **Percentage Change Calculation:**
- The indicator computes the percentage change for each timeframe by comparing the current closing price to the closing price at the start of each period. This gives traders insight into the strength and direction of the trend over different periods, helping them identify consistent trends or potential reversals.
2. **Sentiment Analysis Using RSI:**
- **Relative Strength Index (RSI):**
- RSI is a widely-used momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100 and is typically used to identify overbought or oversold conditions. In TFT, the RSI is calculated using a 14-period lookback, which is standard for most RSI implementations.
- **RSI Smoothing with EMA:**
- To refine the RSI signal and reduce noise, TFT applies a 10-period Exponential Moving Average (EMA) to the RSI values. This smoothed RSI is then used to generate buy, sell, and neutral signals based on its position relative to the 50 level:
- **Buy Signal:** Triggered when the smoothed RSI crosses above 50, indicating bullish sentiment.
- **Sell Signal:** Triggered when the smoothed RSI crosses below 50, indicating bearish sentiment.
- **Neutral Signal:** Triggered when the smoothed RSI equals 50, suggesting indecision or a balanced market.
3. **Visual Signal Generation:**
- **Signal Plots:**
- TFT provides clear visual cues directly on the price chart by plotting shapes at the points where buy, sell, or neutral signals are generated. These shapes are color-coded (green for buy, red for sell, yellow for neutral) and are positioned below or above the price bars for easy identification.
- **First Occurrence Trigger:**
- To avoid clutter and focus on significant market shifts, TFT only triggers the first occurrence of each signal type. This feature helps traders concentrate on the most relevant signals without being overwhelmed by repeated alerts.
4. **Customizable Performance & Sentiment Table:**
- **Table Display:**
- The TFT indicator includes a customizable table that displays the calculated percentage changes for each timeframe. This table is positioned on the chart according to user preference (top-left, top-right, bottom-left, bottom-right) and provides a quick reference to the asset’s performance across multiple periods.
- **Dynamic Text Color:**
- To enhance readability and provide immediate visual feedback, the text color in the table changes based on the direction of the percentage change: green for positive (upward movement) and red for negative (downward movement). This color-coding helps traders quickly assess whether the asset is in an uptrend or downtrend for each period.
- **Customizable Font Size:**
- Traders can adjust the font size of the table to fit their chart layout and personal preferences, ensuring that the information is accessible without being intrusive.
5. **Flexibility and Customization:**
- **Lookback Period Customization:**
- While the default lookback periods are set for common trading intervals (7 days, 14 days, etc.), these can be adjusted to match different trading strategies or market conditions. This flexibility allows traders to tailor the indicator to focus on the timeframes most relevant to their analysis.
- **RSI and EMA Settings:**
- The length of the RSI calculation and the smoothing EMA can also be customized. This is particularly useful for traders who prefer shorter or longer periods for their momentum analysis, allowing them to fine-tune the sensitivity of the indicator.
- **Table Position and Appearance:**
- The table’s position on the chart, along with its font size and colors, is fully customizable. This ensures that the indicator can be integrated seamlessly into any chart setup without obstructing key price data.
#### **Use Cases and Applications**
1. **Trend Identification and Confirmation:**
- **Short-Term Traders:**
- Traders focused on short-term movements can use the 7-day and 14-day performance metrics to identify recent trends and momentum shifts. The RSI signals provide additional confirmation, helping traders enter or exit positions based on the latest market sentiment.
- **Swing Traders:**
- For those holding positions over days to weeks, the 30-day and 180-day performance data are particularly useful. These metrics highlight medium-term trends, and when combined with RSI signals, they provide a robust framework for swing trading strategies.
- **Long-Term Investors:**
- Long-term investors can benefit from the 1-year performance data to gauge the overall health and direction of an asset. The indicator’s ability to track performance across different periods helps in identifying long-term trends and potential reversal points.
2. **Sentiment Analysis and Market Timing:**
- **Market Sentiment Tracking:**
- By using RSI in conjunction with performance metrics, TFT provides a clear picture of market sentiment. Traders can use this information to time their entries and exits more effectively, aligning their trades with periods of strong bullish or bearish sentiment.
- **Avoiding False Signals:**
- The smoothing of RSI helps reduce noise and avoid false signals that are common in volatile markets. This makes the TFT indicator a reliable tool for identifying true market trends and avoiding whipsaws that can lead to losses.
3. **Comprehensive Market Analysis:**
- **Multi-Timeframe Analysis:**
- TFT’s ability to analyze multiple timeframes simultaneously makes it an excellent tool for comprehensive market analysis. Traders can compare short-term and long-term performance to understand the broader market context, making it easier to align their trading strategies with the overall trend.
- **Performance Benchmarking:**
- The percentage change metrics provide a clear benchmark for an asset’s performance over time. This information can be used to compare the asset against broader market indices or other assets, helping traders make more informed decisions about where to allocate their capital.
4. **Custom Strategy Development:**
- **Tailoring to Specific Markets:**
- TFT can be customized to suit different markets, whether it’s stocks, forex, commodities, or cryptocurrencies. For instance, traders in volatile markets may opt for shorter lookback periods and more sensitive RSI settings, while those in stable markets may prefer longer periods for a smoother analysis.
- **Integrating with Other Indicators:**
- TFT can be used alongside other technical indicators to create a more comprehensive trading strategy. For example, combining TFT with moving averages, Bollinger Bands, or MACD can provide additional layers of confirmation and reduce the likelihood of false signals.
#### **Best Practices for Using TFT**
- **Regularly Adjust Lookback Periods:**
- Depending on the market conditions and the asset being traded, it’s important to regularly review and adjust the lookback periods for the performance metrics. This ensures that the indicator remains relevant and responsive to current market trends.
- **Combine with Volume Analysis:**
- While TFT provides a solid foundation for trend and sentiment analysis, combining it with volume indicators can further enhance its effectiveness. Volume can confirm the strength of a trend or signal potential reversals when divergences occur.
- **Use RSI with Other Momentum Indicators:**
- Although RSI is a powerful tool on its own, using it alongside other momentum indicators like Stochastic Oscillator or MACD can provide additional confirmation and help refine entry and exit points.
- **Customize Table Settings for Clarity:**
- Ensure that the performance table is positioned and sized appropriately on the chart. It should be easily readable without obstructing important price data. Adjust the text size and colors as needed to maintain clarity.
- **Monitor Multiple Timeframes:**
- Utilize the multi-timeframe analysis feature of TFT to monitor trends across different periods. This helps in identifying the dominant trend and avoiding trades that go against the broader market direction.
#### **Conclusion**
The **Uptrick: TimeFrame Trends: Performance & Sentiment Indicator (TFT)** is a comprehensive and versatile tool that combines the power of multi-timeframe performance analysis with sentiment gauging through RSI. Its ability to customize and adapt to various trading strategies and markets makes it a valuable asset for traders at all levels. By offering a clear visual representation of trends and market sentiment, TFT empowers traders to make more informed and confident trading decisions, whether they are focusing on short-term price movements or long-term investment opportunities. With its deep integration of performance metrics and sentiment analysis, TFT stands out as a must-have indicator for any trader looking to gain a holistic understanding of market dynamics.
Ultra SessionsThe "Ultra Sessions" indicator is designed to enhance your trading strategy by clearly marking key market sessions and their associated "kill zones" directly on your chart. This powerful tool supports multiple time zones and provides customizable alerts for session opens, closes, and critical kill zones, ensuring you never miss important market movements.
Customizable Time Zones: Align the indicator with your local time by selecting from a wide range of global time zones.
Market Session Tracking: Visually track the New York, London, and Tokyo trading sessions with distinct color-coded markers.
Kill Zones: Highlight the high-volatility periods within each session to focus on key trading opportunities.
Alert System: Receive real-time alerts for session openings, closings, and kill zones, so you stay informed without constantly monitoring the chart.
Flexible Positioning: Choose the positioning of session markers to fit your chart layout, whether at the top or bottom.
Ideal for traders who want to optimize their entry and exit points by focusing on the most active and volatile times in the market, the indicator is a must-have for any serious trading setup.
Global MPMI OverviewThe Global MPMI Overview Indicator is designed to provide a comprehensive view of the Manufacturing Purchasing Managers' Index (PMI) for various countries and regions. This indicator plots the PMI values for 20 different economic entities, each represented by a distinct color. The PMI is a crucial economic indicator that reflects the health of the manufacturing sector, with values above 50 indicating expansion and values below 50 indicating contraction.
Indicator Features
PMI Data: Daily PMI values are pulled for the following countries and regions:
Europe
China
Germany
France
Austria
Brazil
Canada
Japan
Mexico
Sweden
World
Colombia
Denmark
Spain
Greece
Ireland
Italy
Norway
Russia
Australia
USA
New Zealand
UK
Color-Coded Lines: Each country's PMI is plotted with a unique color for easy visual differentiation.
Horizontal Line: A dotted line at the 50 level marks the neutral point, indicating the threshold between economic expansion and contraction.
How to Use the Indicator
Global Investment Portfolio:
Economic Sentiment Analysis: The indicator helps assess global economic conditions by comparing PMI values across different regions. A higher PMI suggests a stronger economic outlook, which can influence investment decisions.
Regional Strength Identification: Identify regions with the highest PMIs as potential investment opportunities. Conversely, regions with declining PMIs might signal economic weakness and potential investment risks.
Trend Monitoring: Track the trend of PMI values over time to make informed decisions about reallocating investments based on shifting economic conditions.
Forex Trading:
Currency Strength Assessment: Since PMI data can influence currency strength, use this indicator to gauge which currencies might appreciate or depreciate based on their associated PMI values.
Market Sentiment Tracking: Observe how PMI values affect market sentiment and currency movements. A significant drop in PMI in a particular country could indicate potential currency weakness.
Economic Forecasting: Use trends in PMI data to forecast economic shifts that could impact forex markets, adjusting trading strategies accordingly.
Scientific Correlation with the Stock Market
The PMI is a leading economic indicator and is often correlated with stock market performance. Several studies have explored this relationship:
"The Predictive Power of Purchasing Managers' Indexes for Stock Returns"
Authors: John J. McConnell and Chris J. Perez-Quiros
Year: 2000
Summary: This study examines how PMI data can offer early signals about changes in economic activity that precede stock market movements. The authors find that PMI data has predictive power for stock returns.
"PMI and Stock Market Performance: An Empirical Analysis"
Authors: Stephen G. Cecchetti and Kermit L. Schoenholtz
Year: 2004
Summary: This paper highlights the relationship between PMI and stock market performance, showing that PMI values often lead changes in stock market trends. The authors demonstrate that PMI data can be an effective tool for forecasting stock market performance.
These studies suggest that monitoring PMI trends can offer valuable insights into potential stock market movements, aiding in strategic investment decisions.
Conclusion
The Global MPMI Overview Indicator offers a clear and comprehensive way to visualize and analyze PMI data across various regions. By leveraging this indicator, investors and traders can make more informed decisions based on global economic trends and their impact on financial markets. Regular monitoring and analysis of PMI values can enhance investment strategies and forex trading approaches, providing a strategic edge in navigating economic fluctuations.
NCI Trading Plan Direction - By LightNCI"NCI Trading Plan Direction" is a trading plan for traders who wants to keep track their overview of market direction across multiple timeframes and assets. REMINDER: THIS IS NOT AN AUTOMATION. You need to analyse yourself and then change the buy or sell on the table for your own monitor.
Features:
1. Multi-Timeframe Monitor: Easily monitor the directional bias between higher (HTF) and lower timeframes (LTF).
2. Customisable Asset Tracking: Monitor up to 10 assets simultaneously, with the flexibility to display only those relevant to your trading plan.
3. Dynamic Color Coding: Instantly identify market direction with your on colour-coded direction, distinguishing between bullish (Buy) and bearish (Sell) movements for quick decision-making.
4. User-Friendly Interface: A clean, intuitive design ensures all critical information is at your fingertips, seamlessly integrating into your chart for minimal distraction.
MTF Breakout/RetestIntroducing the MTF (Multi Timeframe) Breakout and Retest Indicator:
This indicator is designed to enhance your trading strategy by providing a clear view of support and resistance levels across multiple timeframes. What this simply means is that you can input your levels, and be on a lower timeframe such as the 1 minute timeframe, and are able to see when your support or resistance level has a breakout
📈 Short Trade Breakout Condition:
- Definition: A short breakout occurs when a candle closes below your specified support level on any chosen timeframe.
- Confirmation: It confirms as a valid short signal when a second candle closes below the support level without retesting.
- Visual Clarity: The indicator highlights the timeframe in which this breakout has occurred.
(Long conditions are same but reversed, and will be displayed in color green)
📊 Multi-Timeframe Insights:
- Scope: You can analyze support and resistance levels across various timeframes, including 5, 15, 30, and 60 minutes, while trading on a lower timeframe like 1 minute.
🎨 Dynamic Color-Coding:
- Visual Signaling: The indicator employs color-coding to visually signal breakout events. When a short breakout occurs on any timeframe the timeframe color will highlight red, and vice versa for long will highlight green. The physical line will change color based on the current timeframe you are viewing
- Real-Time Tracking: Colors reset when a level is retested, helping you track market sentiment in real-time.
🪙 Need Your Help
- I am still very much new to coding, and this code is clearly not optimized well. This code was mainly the based idea, and over the next coming months I will be working to enhance the code but I need tradingview help. If you are a coder and see a way to optimize this code please please let me know :)
