Adaptive Trend Finder - Pulse Frequency(Basic)The Adaptive Pulse Frequency & Amplitude Trend Indicator is a Pine Script-based tool designed for lower timeframe volume analysis and trend detection. By analyzing volume dynamics and identifying significant "pulses" in market activity, this indicator provides insights into bullish and bearish trends. Here's an overview of its key features and components:
1. Lower Timeframe Volume Analysis
Custom Timeframe Input: The indicator scans lower timeframe data to approximate Up/Down volume, with an optional override to set a custom timeframe.
Volume Delta Calculation: Tracks changes in volume (deltaVolume), representing the difference between up and down volume for each bar.
2. Adaptive Pulse Detection
Rolling Percentile Threshold: Dynamically calculates a threshold based on the pulsePercentile of the absolute delta volume within a specified lookback period (pulseLookback).
Pulse Identification: Bars where the absolute delta volume exceeds the adaptive threshold are classified as "pulses," indicating significant market activity.
Bullish Pulse: Positive delta volume exceeding the threshold.
Bearish Pulse: Negative delta volume exceeding the threshold.
3. Frequency & Amplitude Analysis
Pulse Frequency: Measures the number of bullish or bearish pulses within a rolling window (freqLookback), providing insights into the activity level.
Pulse Amplitude: Computes the cumulative volume delta for bullish and bearish pulses over a defined period (ampLookback), offering a finer view of market strength:
Bullish Amplitude: Sum of positive delta volume for bullish pulses.
Bearish Amplitude: Sum of absolute delta volume for bearish pulses.
4. Trend Logic
Trend Classification:
Bullish Trend: Higher bullish pulse frequency and amplitude.
Bearish Trend: Higher bearish pulse frequency and amplitude.
Neutral Trend: Mixed or inconclusive signals.
Advanced Metrics: Combines frequency and amplitude for robust trend assessment.
5. Visualization
Dynamic Threshold: Plots the adaptive threshold for real-time pulse detection.
Trend Visualization: Colors the chart background based on the identified trend (Bullish, Bearish, Neutral).
Amplitude and Frequency Lines: Displays separate plots for:
Net Frequency (Bullish - Bearish pulses).
Net Amplitude (Bullish amplitude - Bearish amplitude).
Individual bullish and bearish amplitudes for reference.
Use Case
This indicator is ideal for traders seeking to:
Analyze market activity on lower timeframes.
Identify shifts in bullish/bearish momentum through volume dynamics.
Enhance trend-following strategies with adaptive frequency and amplitude metrics.
With its focus on precision and adaptability, the Adaptive Pulse Frequency & Amplitude Trend Indicator is a powerful tool for volume-based market analysis.
Cari dalam skrip untuk "Cycle"
Bidirectional Momentum Aggregator w/ Time Weighting Intrabar Data Extraction:
The script optionally harnesses lower time frame data (e.g., per-second intervals) for high and low prices within each primary bar. You can set it to the current chart time but if you want to use intrabar data it uses the request.security_lower_tf() to properly pull intrabar data.
This fine-grained data enables an in-depth examination of the price action that occurs within a standard timeframe, enhancing the ability to detect subtle market movements.
A key threshold based on Average True Range (ATR) is used to measure significant price changes intrabar, adding a robust filter for volatility sensitivity.
Cumulative Time-to-Threshold Analysis:
The indicator tracks how long it takes for price changes to reach specified thresholds, marking critical time points when upward or downward price movements exceed these levels. This approach provides insights into the speed and intensity of directional shifts within the market.
The calculated time-to-threshold values act as temporal markers that influence subsequent momentum weighting.
Bidirectional Momentum Calculation:
Momentum is assessed in two directions (upward and downward) using a comprehensive array of price changes.
Adaptive Weighting Mechanism:
Each momentum value is weighted by the calculated time-to-threshold, giving preference to momentum that occurs more rapidly and aligning with potential breakout conditions.
The script also factors in correlations between momentum and price change, ensuring that only the most relevant signals contribute to the final analysis.
Iterative Length Analysis:
By iterating over a range of lengths (e.g., 100 to 200 periods), the script aggregates data to assess momentum across different time scales. This provides a more holistic view of market behavior, accommodating both short-term fluctuations and longer-term trends.
Each length is evaluated using moving averages and correlations to determine its contribution to the total weighted momentum.
Final Aggregated Output:
The weighted sums of upward and downward momentum are normalized by the total weight to produce a final composite metric.
The indicator plots these results as separate upward and downward momentum lines, offering traders a visual representation of which direction holds more momentum strength over various intervals.
Practical Application:
This indicator's advanced design is tailored for traders who require a deeper understanding of price movement dynamics and the underlying forces driving market momentum. By incorporating intrabar data, adaptive time-to-threshold calculations, and iterative analysis, this tool seeks to provide a clearer view of potential market direction shifts and their timing.
The indicator can be used to:
Identify potential breakout or reversal points by observing significant shifts in weighted momentum.
Gauge the relative strength of uptrends and downtrends through the plotted momentum lines.
Enhance decision-making with an additional layer of granularity from intrabar data.
In essence, this script is an ambitious attempt to blend multi-scale analysis, momentum dynamics, and time-weighted evaluation, creating a unique approach to understanding market behavior beyond conventional indicators.
Candle-Based Negative Space (Improved)This script visualizes the concept of negative space (when a candle closes below a defined baseline) and positive space (when a candle closes above the baseline) on a price chart. It uses user-defined inputs to configure the baseline and optionally includes a moving average for additional trend analysis. Below is a detailed explanation of the script and suggestions for improving its plotting.
Explanation of the Script
Purpose
The script helps traders visualize the relationship between price movements and a dynamically chosen baseline. The baseline can be based on:
The high/low of the previous candle.
The open/close of the current candle.
The "negative space" is calculated when the closing price is below the baseline, and the "positive space" is calculated when the closing price is above the baseline. The sum of these spaces over a period is plotted as a histogram to provide insights into market strength.
German Market Opening UTC+1Description:
This script highlights the opening time of the German stock market (08:00 UTC+1) on a TradingView chart. It is designed to help traders quickly identify market openings and analyze price movements during this key trading period.
Key Features:
Market Opening Identification:
Automatically detects the exact moment the German stock market opens each day (08:00 UTC+1).
Marks the opening with a vertical line spanning the entire chart and a label for visual clarity.
Custom Indicators:
A blue line is drawn from the lowest to the highest price of the opening candle, extending across the chart to visually indicate the start of the trading day.
A labeled marker reading "DE-Opening" is placed at the top of the opening candle for additional clarity.
Ease of Use:
Simple overlay indicator that works seamlessly on any timeframe chart.
Helps traders focus on key opening price action.
Use Case:
This script is particularly useful for day traders and scalpers who want to identify and analyze the price behavior around the opening of the German stock market. It provides a visual cue to help traders develop strategies or make informed decisions during this active trading period.
Note:
Ensure your chart’s timezone is set to match UTC+1 or appropriately adjust for your location to ensure accurate time alignment.
If you have questions or suggestions, feel free to provide feedback!
Hossa Indicator PureThe Hossa Indicator Pure is a custom technical analysis tool designed to measure market volatility and momentum using normalized Ichimoku-based calculations. It identifies overbought and oversold conditions, providing traders with insights into potential trend reversals or continuation points.
Key Features:
Ichimoku-Based Volatility Analysis:
Calculates volatility using the difference between Tenkan-sen, Kijun-sen, and Senkou Span B.
Incorporates a normalized "Kumo depth" calculation for enhanced volatility insights.
Normalization with Dynamic Bands:
Smooths raw volatility data using a moving average and adjusts it with a standard deviation multiplier.
The normalized indicator is scaled between custom overbought and oversold levels, making it adaptable to different market conditions.
Overbought and Oversold Alerts:
Generates alerts when the indicator crosses into overbought or oversold zones, allowing traders to act promptly.
Dynamic Color-Coded Trend Visualization:
Displays the indicator line in green for upward momentum and red for downward momentum, providing an at-a-glance view of market conditions.
Customizable Inputs:
Tenkan-sen Period: Controls the short-term trend sensitivity.
Kijun-sen Period: Adjusts the medium-term trend.
Senkou Span B Period: Configures the long-term trend baseline.
Smoothing Period: Refines volatility analysis.
Standard Deviation Multiplier: Tailors the sensitivity of the overbought/oversold zones.
Overbought/Oversold Levels: Defines thresholds for signal generation.
How It Works:
Ichimoku Calculations:
Tenkan-sen and Kijun-sen are calculated as averages of the highest high and lowest low over their respective periods.
Future Span A and Future Span B form the basis for volatility depth (Kumo depth).
Volatility Normalization:
The raw Kumo depth is smoothed using a moving average and normalized using statistical bands (average ± standard deviation).
Signal Generation:
Overbought signals are triggered when the normalized indicator exceeds the overbought level.
Oversold signals are generated when the indicator falls below the oversold level.
Visual Representation:
Plots a normalized indicator line with dynamic colors based on momentum.
Includes horizontal dashed lines marking the overbought and oversold thresholds.
Alerts:
Customizable alerts notify traders when overbought or oversold conditions are met.
How to Use:
Set Input Parameters:
Adjust the periods for Tenkan-sen, Kijun-sen, and Senkou Span B to align with your trading style (e.g., shorter periods for scalping, longer for swing trading).
Configure smoothing and standard deviation multiplier to control signal sensitivity.
Monitor Indicator Line:
Look for overbought and oversold conditions based on the defined thresholds.
Use dynamic line colors to identify potential trend reversals (green for bullish, red for bearish).
Alerts:
Set alerts to notify you of overbought/oversold conditions to stay updated without constant chart monitoring.
The Hossa Indicator Pure provides a versatile tool for volatility analysis and momentum detection, suitable for traders seeking precise and customizable insights into market conditions.
ATT + Key Levels with SessionsKey Features:
ATT Turning Point Numbers:
This input allows the user to define specific numbers (e.g., "3,11,17,29,41,47,53,59") that mark turning points in price action, which are checked using the bar_index modulo 60. If the current bar index matches one of these turning points, it triggers potential buy or sell signals.
RSI (Relative Strength Index):
The RSI is calculated based on a user-defined period (rsi_period), typically 14, and used to indicate overbought or oversold conditions. The script defines overbought (70) and oversold (30) levels, which are used to filter buy or sell signals.
Session Times:
The script includes predefined session times for major trading markets:
New York: From 9:30 AM EST to 4:00 PM EST.
London: From 8:00 AM GMT to 4:30 PM GMT.
Asia: From 12:00 AM GMT to 9:00 AM GMT.
These session times are used to restrict the buy and sell signals to specific market sessions.
Key Levels:
The script calculates and plots key market levels for the current day and week:
Daily High and Low: The highest and lowest prices of the current day.
Weekly High and Low: The highest and lowest prices of the current week.
These levels are plotted with different colors for visual reference.
Signal Logic:
Buy Signal: Triggered when the current bar is a turning point (according to the ATT model), the RSI is below the oversold threshold, and the current time is within the active session times (New York, London, or Asia).
Sell Signal: Triggered when the current bar is a turning point, the RSI is above the overbought threshold, and the current time is within the active session times.
Signal Limitations:
A user-defined limit (max_signals_per_session) controls the maximum number of signals that can be plotted within each session. This prevents excessive signal generation.
Plotting and Background Highlights:
Buy and Sell Signals: The script plots shapes (labels) above or below the bars to indicate buy or sell signals when the conditions are met.
Background Highlight: The background color is highlighted in yellow when the current bar matches one of the defined ATT turning points.
In Summary:
The indicator combines multiple technical factors to generate trading signals:
Turning points in price action (based on custom ATT numbers),
RSI levels (overbought/oversold),
Market session times (New York, London, Asia),
Key price levels (daily and weekly highs and lows).
This combination helps traders identify potential buying and selling opportunities while considering broader market dynamics and limiting the number of signals during each session.
Enhanced RSIEnhanced RSI with Phases, Divergences & Volume Control:
This advanced RSI indicator expands on the traditional Relative Strength Index by introducing dynamic exhaustion phase detection, automatic divergence identification, and volume-based control evaluation. It provides traders with actionable insights into trend momentum, potential reversals, and market dominance.
Key Features:
Dynamic Exhaustion Phases:
Identifies real phases of the RSI based on slope and momentum:
Acceleration: Momentum increasing rapidly (green phase).
Deceleration: Momentum weakening (red phase).
Plateau: Momentum flattening (yellow phase).
Neutral: No significant momentum shift detected.
Phases are displayed dynamically in a box on the chart.
Automatic Divergence Detection:
Bullish Divergence: Identified when price makes a lower low while RSI makes a higher low.
Bearish Divergence: Identified when price makes a higher high while RSI makes a lower high.
Divergences are marked directly on the RSI chart with labeled circles.
Volume-Based Control Evaluation:
Analyzes price action relative to volume to determine market dominance:
Bulls in Control: Closing price is higher than the opening price.
Bears in Control: Closing price is lower than the opening price.
Neutral: No significant dominance (closing equals opening).
Volume status is displayed alongside the RSI phase in the chart’s top-left box.
Custom RSI Plot:
Includes overbought (70), oversold (30), and neutral (50) levels for easier interpretation of market conditions.
RSI plotted in blue for clarity.
How to Use:
Add to Chart:
Apply this indicator to any chart in TradingView.
Interpret the RSI Phase Box:
Use the RSI phase (Acceleration, Deceleration, Plateau, Neutral) to identify trend momentum.
Combine the phase with the volume status (Bulls or Bears in Control) to confirm market sentiment.
Identify Divergences:
Look for Bullish Divergence (potential upward reversal) or Bearish Divergence (potential downward reversal) marked directly on the RSI chart.
Adjust Settings:
Customize the RSI period, phase sensitivity, and divergence lookback period to fit your trading style.
Disclaimer:
This indicator is a tool to assist with technical analysis. It is not a financial advice or a guarantee of market performance. Always combine this indicator with other methods or strategies for better results.
Crypto$ure EMA with 4H Trend TableThe Crypto AMEX:URE EMA indicator provides a clear, multi-timeframe confirmation setup to help you align your shorter-term trades with the broader market trend.
Key Features:
4-Hour EMA Trend Insight:
A table, displayed at the top-right corner of your chart, shows the current 4-hour EMA value and whether the 4-hour trend is Bullish, Bearish, or Neutral. This gives you a reliable, higher-timeframe perspective, making it easier to understand the general market direction.
Lower Timeframe Signals (e.g., 25m or 15m):
On your chosen chart timeframe, the indicator plots two EMAs (Fast and Slow).
A Buy Signal (an up arrow) appears when the Fast EMA crosses above the Slow EMA, indicating potential upward momentum.
A Sell Signal (a down arrow) appears when the Fast EMA crosses below the Slow EMA, indicating potential downward momentum.
Manual Confirmation for Better Accuracy:
While the Buy/Sell signals come directly from the shorter timeframe, you can use the 4-hour trend information from the table to confirm or filter these signals. For example, if the 4-hour trend is Bullish, the Buy signals on the shorter timeframe may carry more weight. If it’s Bearish, then the Sell signals might be more reliable.
How to Use:
Add the Crypto AMEX:URE EMA indicator to your chart.
Check the top-right table to see the current 4-hour EMA trend.
Watch for Buy (up arrow) or Sell (down arrow) signals on your current timeframe.
For added confidence, consider taking Buy signals only when the 4-hour trend is Bullish and Sell signals when the 4-hour trend is Bearish.
Note:
This indicator does not generate trading orders. Instead, it provides actionable insights to help guide your discretionary decision-making. Always consider additional market context, risk management practices, and personal trading rules before acting on any signal.
Intraday -RSKWhat You See:
Session Boxes:
As you observe, the larger purple box represents the Asian Session, spanning from around 22:00 to 06:00 UTC. You notice how it captures the overnight market activity.
The smaller, greyish box marks the London Session, from about 08:00 to 12:00 UTC. You can see how the price action changes during this session.
The New York Session is also indicated, with vertical lines possibly marking the open and close, helping you track movements as the U.S. markets come into play.
High and Low Levels:
Horizontal lines are drawn at the high and low of each session. You can use these as potential support or resistance levels, aiding in your decision-making process.
Vertical Lines:
These lines likely correspond to specific key times, such as session opens or closes. You can quickly identify the transition between sessions, which is crucial for your timing.
Color Coding:
Each session is color-coded, making it easier for you to distinguish between them at a glance. The purple, grey, and additional lines offer a clear visual distinction.
How You Use It:
This indicator is your go-to for understanding how different market sessions affect price action. You’ll use it to:
Recognize important price levels within each session.
Identify potential entry and exit points based on session highs and lows.
Observe how the market transitions from one session to another, giving you insight into the best times to trade.
Customization:
You have the flexibility to adjust the settings. You can change session times to suit your trading hours, modify colors to match your chart theme, and even choose which sessions to display or hide based on your focus.
This tool is designed to enhance your analysis, providing you with a structured view of market sessions. With this indicator, you’re well-equipped to navigate the global markets with greater precision and confidence.
Open-source script
Master Litecoin Network Value Model BandThe "Master Litecoin Network Value Model Band" is a TradingView Pine Script indicator designed to analyze and visualize Litecoin's valuation dynamics in comparison to Bitcoin, leveraging a range of on-chain and market metrics. The script creates bands to highlight overvalued or undervalued conditions for Litecoin relative to multiple network and market factors.
Key Features:
Data Integration:
Incorporates on-chain data such as total addresses, new addresses, active addresses, transactions, volume, hodlers, and block sizes for both Litecoin and Bitcoin.
Uses market metrics like price, supply, and retail involvement to model Litecoin's network value.
Value Models:
Constructs individual models based on specific metrics (e.g., new addresses, transaction volume, median volume) to evaluate Litecoin's network valuation against Bitcoin.
Normalizes these models by adjusting for relative supply and Bitcoin's USD price.
Average and Median Models:
Calculates an Average Value Model by combining multiple metric-based models.
Provides a smoothed Median Value Model for more stable trends over time.
Dynamic Bands:
Identifies the maximum and minimum values among the various models to establish upper and lower bands for Litecoin's valuation.
Compares Litecoin's USD price to these bands, categorizing it as overvalued (above the upper band), undervalued (below the lower band), or fairly valued (within the bands).
Visual Representation:
Plots the upper and lower bounds (maxValue and minValue) along with Litecoin's price (ltcusd).
Highlights price movements with color-coded fills:
White fill: Litecoin price exceeds the maximum band.
Blue fill: Litecoin price is between the maximum and minimum bands.
Black fill: Litecoin price falls below the minimum band.
Purpose:
This indicator provides traders and analysts with a comprehensive tool to:
Assess Litecoin's market position relative to its network fundamentals.
Identify potential buy or sell zones based on deviation from fair valuation bands.
Track Litecoin's value trends in relation to Bitcoin as a benchmark.
Financial Conditions Composite Z-Score1. Inputs and Data Sources
The script pulls data for the following financial metrics using TradingView's request.security function:
CBOE:VIX (Volatility Index): A measure of market volatility.
MOVE Index: A measure of bond market volatility (or Treasury volatility).
BAMLH0A0HYM2 (High-Yield Spread): The spread between high-yield corporate bonds and Treasury yields.
BAMLC0A0CM (Credit Spread): The spread for investment-grade corporate bonds.
Each of these metrics represents a key aspect of financial conditions:
VIX: Equity market risk.
MOVE: Bond market risk.
High-Yield Spread and Credit Spread: Perception of risk in corporate debt.
2. Z-Score Calculation
A z-score standardizes each metric to show how far it deviates from its average over a specified period (lookback = 160, or 160 days):
Positive z-scores indicate the metric is higher than average.
Negative z-scores indicate the metric is lower than average.
The formula for the z-score:
Z-Score = Metric − Mean
Standard Deviation Z-Score = Standard Deviation Metric−Mean
3. Combined Z-Score
The script combines the four individual z-scores into a single Composite Z-Score, equally weighted across the metrics:
Combined Z-Score = (Z VIX + Z MOVE + Z High-Yield Spread + Z Credit Spread) / 4
This Combined Z-Score provides an overall measure of financial conditions:
Positive combined z-scores indicate tighter or riskier financial conditions.
Negative combined z-scores indicate looser or less risky financial conditions.
4. Visual Elements on the Chart
A. Colorful Lines: Individual Z-Scores
Each of the four metrics is plotted as a separate line:
Red: Z-score of the VIX.
Green: Z-score of the MOVE index.
Orange: Z-score of the high-yield spread.
Purple: Z-score of the credit spread.
These lines show how each metric contributes to the overall financial conditions. For example:
A rising red line means increasing equity market volatility (risk).
A rising green line means increasing bond market volatility (risk).
B. Blue Line: Combined Z-Score
The blue line represents the Combined Z-Score. It aggregates the individual z-scores into a single measure:
A rising blue line suggests financial conditions are tightening (greater risk across markets).
A falling blue line suggests financial conditions are loosening (lower risk across markets).
C. Red and Green Background: Z-Score Regions
Red Background: When the Combined Z-Score is positive (>0), it indicates riskier or tighter financial conditions.
Green Background: When the Combined Z-Score is negative (<0), it indicates less risky or looser financial conditions.
This background coloring helps visually distinguish periods of riskier financial conditions from less risky ones.
5. Purpose of the Visualization
This indicator provides a comprehensive view of financial conditions across multiple asset classes:
Traders can use it to gauge the level of systemic market stress.
Investors can use it to assess when risk is elevated (positive z-scores) or subdued (negative z-scores).
It helps in decision-making for strategies that depend on market volatility or risk appetite.
Summary of What You See:
Colorful Lines (Red, Green, Orange, Purple): Individual z-scores for each metric (VIX, MOVE, high-yield spread, credit spread).
Blue Line: The aggregated Combined Z-Score that summarizes financial conditions.
Red and Green Background:
Red: Tight or risky financial conditions (Combined Z-Score > 0).
Green: Loose or low-risk financial conditions (Combined Z-Score < 0).
This visualization provides a multi-dimensional view of financial conditions at a glance, helping to identify periods of high or low risk in the markets.
Vietnamese Lunar New Year DatesVisualize Vietnamese Lunar New Year dates on your chart with this indicator!
This script plots vertical red lines for Lunar New Year from 2000 to 2030, along with blue and green lines marking the start of December (previous year) and January (current year) for context. Perfect for analyzing market patterns around this significant holiday.
Customize further to suit your trading style!"
Enhanced Reversal DetectorEnhanced Reversal Detector - Script Description
Overview:
The Enhanced Reversal Detector is a highly refined indicator designed to identify precise trend reversals in financial markets. It improves upon the original reversal detection logic by incorporating additional filters for trend confirmation (using EMA), volume spikes, and candle patterns. These enhancements significantly increase the reliability and accuracy of reversal signals, making it an excellent tool for both short-term and long-term traders.
Key Features
Candle Lookback Logic:
The indicator evaluates historical price action over a user-defined lookback period to detect potential reversal zones.
Bullish reversal conditions are met when price consistently tests lows, and bearish reversal conditions are met when price tests highs.
Trend Confirmation (EMA Filter):
To ensure that reversal signals align with the broader market trend, the indicator incorporates an Exponential Moving Average (EMA) filter.
Bullish signals are only triggered when the price is above the EMA, while bearish signals are only triggered when the price is below the EMA.
Volume Spike Filter:
The indicator checks for significant increases in trading volume to confirm that the reversal is supported by strong market activity.
Volume spikes are calculated as trading volume exceeding a multiple of the 20-bar average volume (default: 1.5x).
Confirmation Period:
Users can define a confirmation window within which reversal signals must be validated.
This reduces false positives and ensures only strong reversals are considered.
Non-Repainting Mode:
Offers a non-repainting option, where signals are based on confirmed conditions from previous bars, ensuring reliability for backtesting.
Visual and Alert Features:
Clear visual markers on the chart indicate bullish (green triangle) and bearish (red triangle) reversal points.
Alert notifications can be enabled for both bullish and bearish reversals, keeping traders informed in real-time.
Inputs
Candle Lookback: Number of candles to evaluate for reversal conditions.
Confirm Within: Number of candles within which a reversal must be validated.
Non-Repainting Mode: Option to enable or disable repainting for signals.
EMA Length: The length of the Exponential Moving Average used for trend confirmation.
Volume Spike Multiplier: Multiplier for identifying significant increases in trading volume.
How It Works
Reversal Detection:
Bullish signals are triggered when:
Price consistently tests recent lows (lookback period).
Price closes above the EMA.
A significant volume spike occurs.
Bearish signals are triggered under opposite conditions (price testing highs, closing below EMA, and volume spike).
Signal Filtering:
Incorporates EMA and volume-based filters to eliminate false positives and focus on high-confidence reversal signals.
Alert Notifications:
Alerts notify users of bullish or bearish reversal opportunities as soon as they are detected.
Use Cases
Scalping and Day Trading:
Ideal for identifying reversals on lower timeframes (e.g., 1-minute or 5-minute charts).
Swing Trading:
Works effectively on higher timeframes (e.g., 1-hour or daily charts) for capturing significant
trend reversals.
Volatile Markets:
Particularly useful in high-volatility markets like cryptocurrencies or forex.
Customization Tips
Adjust the lookback period to fine-tune the sensitivity of the reversal detection.
Increase the volume spike multiplier for markets with irregular trading volumes to focus on significant moves.
Experiment with the EMA length to align signals with your trading strategy's preferred trend duration.
Conclusion
The Enhanced Reversal Detector combines advanced price action analysis, trend confirmation, and market participation filters to deliver high-accuracy reversal signals. With its customizable settings and robust filtering mechanisms, this indicator is an invaluable tool for identifying profitable trading opportunities while minimizing noise and false signals.
Master Litecoin Market Cap Network Value ModelMaster Litecoin Market Cap Network Value Model
This indicator visualizes Litecoin's network fundamentals compared to Bitcoin, developed by @masterbtcltc. By analyzing various on-chain metrics and market data, this script helps users evaluate Litecoin’s intrinsic value relative to Bitcoin.
Key Features:
Network Metrics:
NewAddressValueModel: Tracks the ratio of new addresses in Litecoin compared to Bitcoin.
TotalAddressValueModel: Compares total addresses across the two networks.
Transaction & Volume Metrics:
TXValueModel: Compares transaction activity.
VolumeValueModel and VolumeUSDValueModel: Analyzes transaction volumes in native units and USD.
Usage & Adoption:
ActiveValueModel: Tracks the ratio of active addresses between Litecoin and Bitcoin.
RetailValueModel: Measures retail adoption strength in the Litecoin network.
Blockchain & Holder Data:
BlockValueModel: Compares block sizes.
NonZeroModel: Evaluates addresses with non-zero balances.
HodlerModel: Compares long-term holders between Litecoin and Bitcoin.
Averaged Insights:
AverageValueModel: Aggregates all metrics for a complete view of network valuation.
Visual Design:
Blue Themed Metrics: Network value models are displayed in a uniform blue color with a line thickness of 4 and 25% transparency for clarity.
Distinct Price Plot: Litecoin’s price is plotted in yellow, with a thin line (width 2) and no transparency, keeping it visually separate.
Use Cases:
Ideal for traders, investors, and enthusiasts aiming to:
Identify Litecoin’s market trends.
Detect periods of undervaluation or overvaluation.
Gain deeper insights into Litecoin’s network fundamentals.
Important Instruction: To ensure accurate results, plot this indicator on VANTAGE:LTCUSD * GLASSNODE:LTC_SUPPLY. This ensures alignment with the data sources and guarantees the script performs as intended.
Feel free to explore, use, and share this open-source script to better understand Litecoin’s value potential!
[w3ss1] TimewindowsYou can use this if you want some subtle indication of a specific timewindow on the chart.
You can use it to see the macrowindows, or set the time of a session or any timewindow you want.
You can choose the color and plot it on the bottom or the top of the chart.
McRib Bull Market Indicator# McRib Bull Market Indicator
## Overview
The McRib Bull Market Indicator is a unique technical analysis tool that marks McDonald's McRib sandwich release dates on your trading charts. While seemingly unconventional, this indicator serves as a fascinating historical reference point for market analysis, particularly for studying periods of market expansion.
## Key Features
- Visual yellow labels marking verified McRib release dates from 2012 to 2024
- Clean, unobtrusive design that overlays on any chart timeframe
- Covers both U.S. and international releases (including UK and Australia)
## Historical Reference Points
The indicator includes release dates from:
- December 2012
- October-December 2014
- January 2015
- October 2016
- November 2017
- October 2018
- October 2019
- December 2020
- October 2022
- November 2023
- December 2024
## Usage Guide
1. Add the indicator to any chart by searching for "McRib Bull Market Indicator"
2. The indicator will automatically display yellow labels above price candles on McRib release dates
3. Use these reference points to:
- Analyze market conditions during McRib releases
- Study potential correlations between releases and market movements
- Compare market behavior across different McRib release periods
- Identify any patterns in market expansion phases coinciding with releases
## Trading Application
While initially created as a novelty indicator, it can be used to:
- Mark specific historical points of reference for broader market analysis
- Study potential market psychology around major promotional events
- Compare seasonal market patterns with recurring release dates
- Analyze market expansion phases that coincide with releases
Remember: While this indicator provides interesting historical reference points, it should be used as part of a comprehensive trading strategy rather than as a standalone trading signal.
Daily Manipulation and Distribution Levels with Buy/Sell SignalsIndicator Summary:
This indicator is designed for intraday traders, highlighting key price levels and providing simple buy/sell signals based on price manipulation and distribution concepts.
Key Features:
Core Levels:
Manipulation Plus/Minus: Derived from the daily open and a portion of the daily range (e.g., 25%).
Distribution Levels: Daily high and low serve as ultimate targets or resistance/support levels.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the Manipulation Plus level. A green "BUY" label marks the entry.
Sell Signal: Triggered when the price crosses below the Manipulation Minus level. A red "SELL" label marks the entry.
Clean Chart Design:
Hides unnecessary clutter, showing only relevant key levels and labeled signals for clarity.
How to Use:
Entry Points:
Buy Entry: When a green "BUY" label appears after the price breaks above the Manipulation Plus level.
Sell Entry: When a red "SELL" label appears after the price breaks below the Manipulation Minus level.
Exit Strategy:
Take Profit: Use the Distribution Levels (daily high/low) as take-profit zones.
Stop Loss: Set just above/below the Manipulation Levels to manage risk effectively.
One to Two Trades per Session: Focus on high-probability moves to ensure clarity and reduce overtrading.
Who It’s For:
This indicator is ideal for traders seeking a structured and visual approach to intraday trading, with clear entry/exit criteria based on price manipulation and distribution theory. It simplifies decision-making and ensures clean chart setups without overwhelming visuals.
Dynamic Movement-Based OscillatorDynamic Movement-Based Oscillator
This oscillator is designed to adapt its calculations based on market volatility, creating a dynamic and movement-sensitive indicator without using fixed or arbitrary lengths. It works by adjusting its sensitivity and smoothing based on the volatility of recent price action. The script utilizes the following core components:
Volatility-Driven Adaptive Length:
The adaptive length is calculated from the Average True Range (ATR) over a long period. This length dynamically adjusts between a minimum length and the maximum length allowed, ensuring that the oscillator's responsiveness aligns with current market conditions.
Directional Movement with Adaptive Smoothing:
Using an exponential moving average (EMA) of up and down price movements, this component calculates adaptive averages for upward and downward movement. The length of the EMA is set by the adaptive length, creating a response that mirrors recent volatility.
Ratio-Based Oscillator Calculation:
The oscillator value is calculated based on the ratio of average upward to downward movement. This ratio is transformed into a range centered around zero, with values oscillating between positive and negative regions based on the strength of directional movement.
Dynamic Normalization:
To stabilize the oscillator and provide a bounded range, the script normalizes it against the highest and lowest values over a large window (4999 bars or the adaptive length, whichever is greater). This scaling ensures that the oscillator is calibrated to recent highs and lows, eliminating the need for arbitrary limits.
Adaptive Smoothing:
The final oscillator output is smoothed with a secondary adaptive EMA, where the smoothing factor is dynamically set to half of the current volatility length. This creates a responsive but stable line that adapts as market volatility changes.
Multi-Level Visual Reference Lines:
Several horizontal reference lines are plotted to guide interpretation:
High (50): Indicates potential overbought levels.
Tending/Rejection (25) and Rejection/Trending (-25): Mark areas where reversals or continuations might be expected.
Mid (0): The central line around which the oscillator oscillates.
Low (-50): Represents potential oversold levels.
This oscillator aims to capture directional momentum dynamically, allowing for adaptable, real-time analysis of price action with smooth, volatility-adjusted responses. It’s useful for detecting shifts in market momentum, particularly in trending or highly volatile environments.
Because the lengths are so long this can be used on really small time frames
Trending days will often live in the top or bottom quartile
Divergences work extremely well
ATT Model with Buy/Sell SignalsIndicator Summary
This indicator is based on the ATT (Arithmetic Time Theory) model, using specific turning points derived from the ATT sequence (3, 11, 17, 29, 41, 47, 53, 59) to identify potential market reversals. It also integrates the RSI (Relative Strength Index) to confirm overbought and oversold conditions, triggering buy and sell signals when conditions align with the ATT sequence and RSI level.
Turning Points: Detected based on the ATT sequence applied to bar count. This suggests high-probability areas where the market could turn.
RSI Filter: Adds strength to the signals by ensuring buy signals occur when RSI is oversold (<30) and sell signals when RSI is overbought (>70).
Max Signals Per Session: Limits signals to two per session to reduce over-trading.
Entry Criteria
Buy Signal: Enter a buy trade if:
The indicator displays a green "BUY" marker.
RSI is below the oversold level (default <30), suggesting a potential upward reversal.
Sell Signal: Enter a sell trade if:
The indicator displays a red "SELL" marker.
RSI is above the overbought level (default >70), indicating a potential downward reversal.
Exit Criteria
Take Profit (TP):
Define TP as a fixed percentage or point value based on the asset's volatility. For example, set TP at 1.5-2x the risk, or a predefined point target (like 50-100 points).
Alternatively, exit the position when price approaches a key support/resistance level or the next significant swing high/low.
Stop Loss (SL):
Place the SL below the recent low (for buys) or above the recent high (for sells).
Set a fixed SL in points or percentage based on the asset’s average movement range, like an ATR-based stop, or limit it to a specific risk amount per trade (1-2% of account).
Trailing into Profit
Use a trailing strategy to lock in profits and let winning trades run further. Two main options:
ATR Trailing Stop:
Set the trailing stop based on the ATR (Average True Range), adjusting every time a new candle closes. This can help in volatile markets by keeping the stop at a consistent distance based on recent price movement.
Break-Even and Partial Profits:
When the price moves in your favor by a set amount (e.g., 1:1 risk/reward), move SL to the entry (break-even).
Take partial profit at intermediate levels (e.g., 50% at 1:1 RR) and trail the remainder.
Risk Management for Prop Firm Evaluation
Prop firms often have strict rules on daily loss limits, max drawdowns, and minimum profit targets. Here’s how to align your strategy with these:
Limit Risk per Trade:
Keep risk per trade to a conservative level (e.g., 1% or lower of your account balance). This allows for more room in case of a drawdown and aligns with most prop firm requirements.
Daily Loss Limits:
Set a daily stop-loss that ensures you don’t exceed the firm’s rules. For example, if the daily limit is 5%, stop trading once you reach a 3-4% drawdown.
Avoid Over-Trading:
Stick to the max signals per session rule (one or two trades). Taking only high-probability setups reduces emotional and reactive trades, preserving capital.
Stick to a Profit Target:
Aim to meet the evaluation’s profit goal efficiently but avoid risky or oversized trades to reach it faster.
Avoid Major Economic Events:
News events can disrupt technical setups. Avoid trading around significant releases (like FOMC or NFP) to reduce the chance of sudden losses due to high volatility.
Summary
Using this strategy with discipline, a structured entry/exit approach, and tight risk management can maximize your chances of passing a prop firm evaluation. The ATT model’s turning points, combined with the RSI, provide an edge by highlighting reversal zones, while limiting trades to 1-2 per session helps maintain controlled risk.
Bg color with 5 Date and 3 Time each by nitesh Bg color with 5 Date and 3Time each by nitesh this indicator will plot background color on the chart on your selected date and time spaan it hase three time spaan you can select time according to your need i have created this indicator to backtest time based price movments may this be helpful to you too (jai shree ram)
Cumulative Volume Distribution Spread Intrabar with BandsUpdated Description:
This script, "Cumulative Volume Spread by Levels with Histogram", analyzes cumulative buying and selling pressure at various price levels of each bar, based on intra-bar data from a lower timeframe (like 1-second bars). It visualizes the results using lines, histograms, and color-filled areas.
Key Concepts:
Price Levels: The script splits each bar into four distinct levels:
High to max(open, close): The range from the highest price of the bar to the higher of the open or close prices.
Max(open, close) to midline: The range from the higher of the open or close to the midpoint of the bar.
Midline to min(open, close): The range from the midpoint to the lower of the open or close.
Min(open, close) to low: The range from the lower of the open or close to the lowest price of the bar.
Volume Pressures:
The script fetches volume data from a lower timeframe (default is 1-second bars) to capture intra-bar buying and selling pressure.
Buying Pressure: Calculated when the close is greater than the open.
Selling Pressure: Calculated when the close is less than the open.
Cumulative Pressures:
The script accumulates buy and sell volumes within each of the four price levels described above.
At the beginning of a new day, these cumulative values are reset.
Spread Calculation:
For each level, the script calculates the spread between cumulative buying and selling volumes (i.e., buy pressure minus sell pressure). A positive spread indicates more buying pressure, and a negative spread indicates more selling pressure.
The script calculates an Exponential Moving Average (EMA) of the spread changes for each section:
EMA Spread High to Max Open/Close
EMA Spread Max Open/Close to Midline
EMA Spread Midline to Min Open/Close
EMA Spread Min Open/Close to Low
Fill Between Levels:
The areas between the key price levels are filled based on whether the EMA of the spread is positive (green) or negative (red). This helps to visually indicate where buying or selling pressure is stronger.
Background Color:
The script determines an overall background color based on the relative strength of cumulative buying vs. selling pressure. If cumulative buying pressure is stronger across the levels, the background turns green; if selling pressure dominates, it turns red.
Fluid Dynamics-Inspired Indicator with Bidirectional ScalingThe "Enhanced Fluid Dynamics-Inspired Indicator with Bidirectional Scaling" is a sophisticated technical analysis tool that draws inspiration from the principles of fluid dynamics to measure both upward and downward price movements, while also incorporating volatility and momentum into its calculations. The indicator aims to provide traders with a clear understanding of market dynamics by analyzing "streamflow" (price and volume movements) in both directions, enhanced with adaptive scaling techniques.
Key Features:
Bidirectional Price Momentum:
The indicator separately calculates positive and negative momentum using the price's rate of change. This allows for independent analysis of upward and downward price movements, providing a balanced view of the market's direction.
Streamflow Model:
The "streamflow" is calculated by multiplying volume flow with price momentum. This approach treats the market as a fluid system, where the momentum and volume of trades influence the flow of prices in both upward and downward directions. Streamflow is calculated independently for each direction.
Adaptive Volatility Scaling:
Volatility is dynamically calculated using the Average True Range (ATR) and is weighted to adjust to varying market conditions. An adaptive logarithmic scaling factor is applied to the volatility to capture the dynamic nature of market environments.
DRMA (Displaced Rolling Moving Average):
The indicator uses the DRMA function to smooth out price and volume data, improving the accuracy of its measurements. This allows the indicator to capture longer-term trends while still being responsive to short-term fluctuations.
Non-Linear Scaling and Normalization:
To ensure that the output values are within a usable range, the indicator employs a sigmoid-based non-linear scaling function. This helps normalize the composite output, making it easier to interpret overbought and oversold conditions.
Visual Representation:
The indicator plots two separate lines for upward and downward market movements, making it easy to distinguish between bullish and bearish trends. Background colors are also used to highlight periods of strong upward or downward momentum, as well as high volatility.
Overbought/Oversold Conditions:
Upper and lower thresholds are used to signal potential overbought and oversold conditions. Alerts are triggered when the market moves into extreme levels, helping traders identify potential entry and exit points.
Usage:
This indicator is designed for traders who are looking for a more nuanced and dynamic tool to measure both bullish and bearish trends. By using bidirectional scaling, it provides clearer signals for market direction, while adaptive volatility and momentum adjustments ensure the indicator responds to different market environments. The alert conditions make it especially useful for timing trades in highly volatile conditions or when price movements reach extreme levels.
Bernoulli Price Dynamics with IntraBar Volume (Bidirectional)This indicator adapts the principles of Bernoulli’s equation from fluid dynamics to analyze price and volume dynamics in the market. By incorporating intrabar volume data and splitting price movements into upward and downward components, it provides a bidirectional view of the market's kinetic and potential energies. This approach helps assess market pressure in both upward and downward directions, offering insights into potential price movement with energy-based mechanics.
Key Features:
Intrabar Volume Integration: The indicator collects up and down volume data from a lower timeframe, such as seconds or minutes, to provide more granular insights.
Bidirectional Market Pressure: By separating upward and downward price movements, it calculates market pressure in both directions, which is akin to fluid pressure. The separation enables tracking of distinct upward and downward energy flows in the market.
Energy Calculation:
Kinetic Energy: This represents the "movement" aspect of the price, weighted by volume. It is calculated for both upward and downward movements based on price velocity squared.
Potential Energy: This represents the "position" aspect of the price, calculated as the product of volume and the current price level. It is also separated into upward and downward components.
Market Pressure: The difference between the total energy (sum of kinetic and potential energies) and the highest observed total energy over a defined period (N). This provides an insight into the current momentum of price movement in both directions.
Visualization:
Market Pressure Up/Down: Plots the calculated market pressure for upward (green) and downward (red) movements.
Kinetic and Potential Energies: Provides individual plots for kinetic and potential energy in both directions to analyze the behavior of price and volume in more detail.
This indicator can be used to track market momentum and potential reversals by understanding the energy and pressure dynamics in both upward and downward price movements.
