CycleSync | QuantEdgeBIntroducing CycleSync by QuantEdgeB
Overview
CycleSync is a powerful valuation and cycle-tracking system designed to provide insights into asset price behavior across different phases of market cycles. It integrates on-chain data, price-based indicators, and risk-adjusted metrics to offer a comprehensive valuation model that helps traders and investors identify accumulation, distribution, and momentum shifts.
This system is ideal for those who want data-driven confirmation of market tops and bottoms, leveraging a blend of statistical measures, trend-following techniques, and historical on-chain valuations.
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Key Features
1. Multi-Factor Valuation Framework
Incorporates a blend of on-chain, momentum, and price-based indicators to assess market cycles in real-time. Helps determine if an asset is overvalued, fairly valued, or undervalued over long term horizon.
2.Market Cycle Recognition
Tracks key macro and micro cycle shifts, identifying trends such as accumulation, expansion, distribution, and contraction phases.
3.Dynamic Valuation
CycleSync employs Z-score standardization and adaptive rescaling to continuously refine overbought and oversold thresholds based on evolving market conditions. Unlike static valuation models, which rely on fixed levels, CycleSync dynamically recalibrates these boundaries by analyzing historical price distributions and deviations from the mean.
4.Comprehensive Dashboard
Presents cycle indicators and valuation scores in a structured table format.
Displays color-coded overbought and oversold signals for quick interpretation.
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How It Works
1.On-Chain & Price-Based Data Collection
Gathers key market cycle indicators like MVRV, NUPL, SOPR, CVDD, VWAP, Pi-Cycle, RSI, and Risk Ratios to assess historical valuation.
2.Standardization & Rescaling
Each metric is normalized using either Z-score calculations or high-low rescaling, ensuring fair contribution across different data sources. By applying statistical normalization techniques, the system ensures that extreme valuations are detected relative to the asset's own historical behavior rather than arbitrary thresholds.
3.Valuation Score & Interpretation
🔹 CycleSync Score Ranges
- 📉 Strongly Oversold (-2 and below) → Market is extremely undervalued; potential reversal.
- 📉 Moderately Oversold (-1.5 to -2) → Discounted market conditions, buying interest may emerge.
- 📉 Slightly Oversold (-0.5 to -1.5) → Possible accumulation phase.
- ⚖ Fair Value (-0.5 to +0.5) → Market trading at equilibrium.
- 📈 Slightly Overbought (+0.5 to +1.5) → Initial signs of market strength.
- 📈 Moderately Overbought (+1.5 to +2) → Market heating up, caution warranted, selling interest may emerge.
- 📈 Strongly Overbought (+2 and above) → Extreme valuation, increased risk of correction.
This classification helps traders gauge overall market sentiment and make better allocation decisions.
Note : Past valuations and buy/sell signals generated by CycleSync do not guarantee future performance. Market conditions can change, and proper risk management should always be applied.
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Use Cases
✅ Crypto Traders & Long-Term Investors
Identify potential major market tops and bottoms using on-chain and price-based cycle indicators.Confirm long-term accumulation or distribution phases with CycleSync’s multi-cycle tracking.
✅ Macro Trend Followers
Detect macro bull and bear cycle shifts by integrating valuation metrics with trend-following strategies.
✅ Mean Reversion & Rotational Traders
Exploit valuation mean reversion strategies when assets enter extreme overvaluation or undervaluation zones. Rotate capital efficiently between risk-on and risk-off assets based on CycleSync’s valuation models.
✅ Risk Management & Portfolio Allocation
Adjust portfolio exposure by scaling in/out of positions based on historical valuation insights.
Use CycleSync’s Risk Ratios & CVDD metrics to refine entry and exit strategies.
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📊 Optimized for Bitcoin , Yet "Universally" Adaptable 🔄
CycleSync is primarily optimized for Bitcoin , leveraging their extensive on-chain and market data to provide robust long-term valuation insights. However, the system remains flexible and can be applied to other assets 📉📈—provided they have sufficient historical price data to support reliable statistical calculations.
Since CycleSync incorporates volume-based metrics, it is essential that the selected chart's ticker provides accurate volume data to function properly. For assets with limited history, results may be less reliable, as long-term valuation models depend on deep market data for precision.
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Conclusion
CycleSync is a powerful full-cycle valuation system designed to provide deep market insights 📊 by blending on-chain metrics, statistical rescaling, and technical analysis. Whether you're tracking Bitcoin or other assets with sufficient historical data, this tool offers a structured framework for identifying overbought/oversold conditions, potential cycle tops/bottoms, and long-term market positioning.
With its dynamic adaptability, intuitive scaling mechanisms, and multi-metric integration ⚡, CycleSync empowers traders and investors to make more informed, data-driven decisions 📈. While no valuation model is infallible, combining CycleSync with broader market context and risk management strategies enhances its effectiveness.
🔹 Who Should Use Sentival?
✅ Swing Traders & Long-Term Investors looking for structured valuation metrics.
✅ Quantitative & Systematic Traders incorporating multi-factor models.
✅ Portfolio Managers optimizing exposure to different market regimes.
✅ Use CycleSync as a guiding framework—not a standalone signal— and gain a clearer perspective on the ever-evolving market cycles!
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Cicli
Sentival | QuantEdgeBIntroducing Sentival by QuantEdgeB.
An Adaptive Multi-Factor Indicator for Market Valuation & Trend Strength
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Overview
The Sentival Valuation System is a medium-term, multi-factor valuation tool designed to assess market conditions using a combination of momentum, mean reversion, and risk-adjusted metrics. It provides traders and investors with a dynamic score reflecting market valuation, ranging from strongly oversold to strongly overbought conditions.
This system leverages a diverse range of technical indicators, including momentum oscillators, volatility measures, risk ratios, and mean-reversion metrics, providing a holistic view of market conditions.
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1. Key Features
🛠 Multi-Factor Valuation Model
Sentival aggregates nine different indicators, normalizing and rescaling them into a standardized z-score-based valuation system. The final output represents an average of the selected indicators, allowing for flexible customization based on the user’s preference.
📊 Customizable Indicator Selection
Users can enable or disable any of the nine valuation factors, ensuring the system adapts to different market environments, trading styles, and assets.
🔄 Multi-Timeframe Adaptability
Sentival can be used across different time horizons, making it suitable for short-term mean reversion, medium-term traders, or long-term valuation analysis by simply adjusting the timeframe and indicator settings. This flexibility allows traders to adapt Sentival to various market conditions and trading objectives.
🎨 Intuitive Dashboard & Color Coding
- Dynamic Heatmap & Dashboard: Displays valuation strength across multiple factors.
- Gradient-Based Overbought/Oversold Signals: Clear color-coded signals for easy interpretation.
- Background Highlighting: Optional oversold/overbought background zones.
🏆 Statistical & Risk-Based Insights
- Standardized Rescaling & Z-Score Analysis to prevent bias from individual indicators.
- Risk-Adjusted Metrics such as Sharpe, Sortino, and Omega Ratios help assess the overall market risk appetite.
- Trend Following Mode (TF Display): Users can enable the "Trend Following" option to display the trend direction, helping to align valuation signals with the broader market trend.
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2. How It Works
1️⃣ Normalization & Rescaling: Each selected indicator is transformed into a standardized scale to ensure fair weighting and prevent distortions from extreme values.
2️⃣ Multi-Indicator Aggregation: The system averages multiple valuation signals into a single z-score, providing a clear overbought/oversold reading rather than relying on a single metric.
3️⃣ Dynamic Trend Filtering: Users can enable Trend Following Mode (TF Display) to overlay directional trend confirmation, helping align valuation signals with momentum.
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4. Sentival Valuation Score & Interpretation
🔹 Sentival Score Ranges
- 📉 Strongly Oversold (-2 and below) → Market is extremely undervalued; potential reversal.
- 📉 Moderately Oversold (-1.5 to -2) → Discounted market conditions, buying interest may emerge.
- 📉 Slightly Oversold (-0.5 to -1.5) → Possible accumulation phase.
- ⚖ Fair Value (-0.5 to +0.5) → Market trading at equilibrium.
- 📈 Slightly Overbought (+0.5 to +1.5) → Initial signs of market strength.
- 📈 Moderately Overbought (+1.5 to +2) → Market heating up, caution warranted, selling interest may emerge.
- 📈 Strongly Overbought (+2 and above) → Extreme valuation, increased risk of correction.
This classification helps traders gauge overall market sentiment and make better allocation decisions.
Note: Past valuations and buy/sell signals generated by Sentival do not guarantee future performance. Market conditions can change, and proper risk management should always be applied.
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5. Use Cases & Applications
🔹 📊 Market Rotation & Asset Allocation
- Used as a valuation model to determine if a market or asset is undervalued or overvalued.
- Rotational strategies can benefit from the valuation score by switching exposure between assets.
🔹 📈 Medium-Term Trend Identification
- Detects overbought and oversold conditions while filtering out short-term noise.
- Can be combined with other trend-following indicators for confluence-based strategies.
🔹 🔄 Mean Reversion & Momentum Trading
- Provides statistical validation for momentum breakouts or mean reversion signals.
- Useful for long-short trading strategies, determining optimal entry & exit points.
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Conclusion
Sentival is a powerful universal valuation system for traders and investors seeking a data-driven, multi-factor approach to market valuation. With its combination of momentum, trend, risk-adjusted, and mean-reversion indicators, it provides a robust, adaptable, and statistically sound framework for making informed market decisions.
🔹 Who Should Use Sentival?
✅ Swing Traders & Medium-Term Investors looking for structured valuation metrics.
✅ Quantitative & Systematic Traders incorporating multi-factor models.
✅ Portfolio Managers optimizing exposure to different market regimes.
🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
AlgoCados x Gann Toolkit AnalysisAlgoCados x Gann Toolkit Analysis
The "AlgoCados x Gann Toolkit Analysis" is an advanced TradingView indicator combining the principles of W.D. Gann’s methodologies with the power of custom anchor points and time cycles. Tailored for traders seeking precision in market timing and price-level analysis, this toolkit integrates the Anchored Square of 9, customizable Gann Fans, and Time cycles. It offers unparalleled flexibility, allowing users to apply Gann’s techniques across different market assets and timeframes by squaring the chart, providing insights into support, resistance, and potential trend reversals.
CME_MINI:NQH2025
# Core Functionalities
# Gann’s Square of 9 Price Projections
This indicator applies Gann’s Square of 9 principles, allowing traders to anchor price projections at significant highs, lows, opens, or closes. By following the Gann Wheel methodology, it calculates critical support and resistance levels through angular shifts, providing accurate projections based on the chosen anchor point. Traders can adjust the anchor to align with various market conditions, refining their analysis according to their preferred starting price.
# Gann’s Cycles Time Projection
Incorporating Gann’s natural cycles of 144 and 360, this indicator utilizes bar index logic to project time cycles, best suited for unit-based timeframes (e.g., 1 minute, 1 hour, 1 day). These time projections are plotted dynamically, adapting in real time to new data and offering a structured view of Gann’s cyclical approach to market timing.
# Customizable Gann Fans
The toolkit includes a flexible Gann Fan module that lets traders scale ratios around a user-defined “1x1” ratio, making it adaptable across different assets and timeframes. With seven standard fan lines (1x1, 2x1, 4x1, 8x1, 1x2, 1x4, 1x8), each line is drawn dynamically based on the selected anchor point, providing insights into price action direction and potential support/resistance zones. These fans can be positioned for both bullish and bearish setups.
# Square of 4 Projections
By dividing Gann’s 360° cycles into four 90° segments, the indicator generates additional projections for more granular analysis. These divisions highlight key support/resistance levels, allowing traders to observe market responses at each 90° increment and identify potential reversal points. By default users will view larger cycles, up to 5760°, to capture significant long-term trends.
# Dynamic Labeling and Visualization
The indicator features customizable line styles (solid, dotted, dashed) and labeling options (Levels, Prices, Levels + Prices). This flexibility allows traders to create clear, structured chart visuals that reflect their analytical needs. Dynamic labels display degrees and prices for each projection, helping traders understand price movements at a glance.
CME_MINI:NQH2025
# Mathematical Foundation and Indicator Logic
# Anchor Point Calculation
The selected anchor (High, Low, Open, or Close) serves as the baseline for Gann calculations, determining all subsequent projections. Users can control the anchor time and adjust for offsets to optimize alignment with key market events.
# Angular Shifts and Square Root Scaling
Projections are calculated by applying angular shifts to the square root of the anchor price, with the toolkit generating both positive and negative deviations. This method reveals potential price levels by mapping out a series of support and resistance points based on Gann’s cyclic philosophy.
# Time Cycle Analysis_ 144 & 360 Cycles
Utilizing the bar index logic, the indicator plots time projections aligned with Gann’s 144 and 360 cycles, which apply best to unit-based timeframes like 1 minute, 1 hour, 1 day, etc. Time cycles are labeled and extended dynamically, ensuring the chart reflects real-time market shifts as new bars are added.
# Key Features and Customization Options
# Adjustable Angular Shifts and Cycles
Angular shifts from 360° to 5760° are available, offering detail from intraday to long-term trends. The Square of 4 cycles enhance analysis by dividing the 360° Gann Wheel into four equal parts, revealing critical resistance/support points within each cycle.
# Fully Customizable Projection Lines
Projection lines are customizable by style (solid, dotted, dashed) and color, ensuring a clear distinction between equilibrium, support, and resistance levels. The toolkit also includes separate settings for upper and lower deviations, allowing traders to focus on specific market directions.
# Flexible Input Settings for Time and Price
Users can set anchor points, time cycles, line styles, and labels with precision, tailoring the indicator to any asset, timeframe, or market condition.
# Dynamic Labeling and Offsets
Each projection line displays dynamic labels that show angular shifts and associated prices, enhancing readability and ease of analysis. Labels can be offset to avoid chart clutter, creating a clean and user-friendly chart.
CME_MINI:NQH2025
# Recommended Usage
# Time Cycles for Key Market Events
Anchor points should align with major highs or lows to reflect accurate time cycles. The toolkit’s flexibility in time cycle selection (1x1, 144, or 360 cycles) ensures precision in market timing analysis. Ideal for unit-based timeframes such as 1 minute, 1 hour, 1 day, 1 week, or 1 month.
# Price Levels with Gann Fans
Set anchor points on significant highs or lows to apply the Gann Fan tool effectively, projecting key price levels across multiple timeframes; the default fan is set on 1x1 (one price unit for one time unit), the ratio can be manually changed based on the chart specifics.
# Square of 4 Analysis
Dividing Gann Wheels into 90° segments allows traders to identify critical support and resistance levels within each 360° cycle. This feature is ideal for pinpointing intraday reversals or aligning with long-term trend cycles.
# Technical Overview
Indicator Name : AlgoCados x Gann Toolkit Analysis
Platform Compatibility : TradingView
Version : Pine Script v6
License: Mozilla Public License 2.0
Author : AlgoCados, © 2025
Overlay : True (overlays directly on price chart)
Core Functions : Anchored Square of 9, Customizable Gann Fans, and Time-Cycles projections
Customizable Settings : Anchor time/point, Angular shifts, Time cycles, Fan ratios, Label styles
Maximize Gann Analysis Precision with AlgoCados; Healthy with Your Trading!
Time-based Alerts for Trading Windows🌟 Time-based Alerts for Trading Windows 🌐📈
This is a re-uploaded script as the previous one got hidden.
This Time-based Alerts for Trading Windows script is a highly customizable and reliable tool designed to assist traders in managing automated strategies or manually monitoring specific market conditions. Inspired by CrossTrade's Time-based Alert, this script is tailored for those who rely on precise time windows to trigger actions, such as sending webhook signals or managing Expert Advisors (EAs).
Whether you are a scalper, day trader, or algorithmic trader, this script empowers you to stay on top of your trades with fully customizable time-based alerts.
🛠️ Customizable Time Alerts
This indicator allows you to create up to 12 unique time windows by specifying the exact hour and minute for each alert. Each time window corresponds to an individual alert condition, making it perfect for managing trades during specific market sessions or key time periods.
For example:
Alert 1 can be set at 9:30 AM (market open).
Alert 2 can be set at 3:55 PM (just before market close).
Each alert can be toggled on or off in the indicator settings, allowing you to manage alerts without having to reconfigure your script.
You can adjust the colours to fit any colour scheme you like!
🕒 Odd and Even Time Alerts
The script comes with three built-in alert type categories:
Odd Alerts (marked with a green triangle on the chart): These correspond to odd-numbered inputs like Alert 1, Alert 3, Alert 5, and so on.
Even Alerts (marked with a red triangle on the chart): These correspond to even-numbered inputs like Alert 2, Alert 4, Alert 6, and so on.
You can also customize all 12 alerts individually to include a custom alert message
These alerts serve as a convenient way to differentiate between multiple trading strategies or market conditions. You can customize alert messages for odd and even alerts directly from TradingView’s alert panel.
🔗 Webhook Integration for Automation
This script is fully compatible with webhook-based automation. By configuring your alerts in TradingView, you can send signals to trading bots, EAs, or any third-party system. For example, you can:
Turn off an EA at a specific time (e.g., 3:55 PM EST).
Send buy/sell signals to your bot during predefined trading windows.
Simply use TradingView’s alert message editor to format webhook payloads for your automation system.
🌐 Timezone Flexibility
Trading happens across multiple time zones, and this script accounts for that. You can toggle between:
Eastern Time (New York): Ideal for most US-based markets.
Central Time (Exchange): Useful for futures and commodities traders.
This ensures your alerts are always in sync with your preferred time zone, eliminating confusion.
🎨 Visual Indicators
The script plots visual markers directly on your chart to indicate active alerts:
Up Facing Triangles: Represent odd-numbered alerts, providing a quick reference for these time windows.
Down Facing Triangles: Represent even-numbered alerts, helping you track different strategies or conditions.
These visual markers make it easy to see when alerts are triggered, even at a glance.
📈 Practical Use Case
Let’s say you’re trading the USTEC index on a 1-minute chart. You want to:
Turn off your trading bot at 16:55 EST to avoid after-market volatility.
Trigger a re-entry signal at 17:30 EST to capture moves during the Asian session.
Visually monitor these actions on your chart for easy reference.
This script makes it possible with precision alerts and webhook integration. Simply configure the time windows in the settings and set up your alerts in TradingView.
🚨 How to Set Up Alerts
Enable or Disable Alerts: Use the script’s settings to toggle specific alerts on or off as needed.
Set Custom Time Windows: Define the hour and minute for each alert in the settings panel.
Create Alerts in TradingView:
Go to the TradingView alert panel.
Select the condition (e.g., "Odd Time-based Alert (Green)" or "Even Time-based Alert (Red)").
Customize the alert message for webhook integration or personal notification.
Choose the trigger type: Once Per Bar or Once Per Bar Close to keep the alert active.
Integrate with Webhooks: Use the alert message field to format payloads for automation systems like MT4, MT5, or third-party bots.
📋 Key Notes
Alerts can trigger indefinitely if set to "Once Per Bar" or "Once Per Bar Close".
Always ensure the expiration date is set far in the future to avoid unexpected alert deactivation.
Test webhook messages and alert configurations thoroughly before using them in live trading.
This script is a powerful addition to your trading toolbox, offering precision, flexibility, and automation capabilities. Whether you’re turning off an EA, managing trades during market sessions, or automating strategies via webhooks, this script is here to support you.
Start using the Time-based Alerts for Trading Windows today and trade with confidence! 🚀✨
Planetary Time IntervalsThe Planetary Time Intervals Indicator is a market time analysis tool that allows traders to analyze and forecast planetary degree time measurements on the chart. This indicator tracks consistent planetary degree intervals to the current bar and accurately project those intervals up to 500 bars on any timeframe.
It supports both geocentric and heliocentric planetary positions, including the Moon, making it applicable for long-term and intraday analysis.
How It Works:
Once the indicator is loaded, the user selects a significant high or low "datetime and price" as the starting point for calculations. There are three available methods for determining a planetary time interval, allowing for flexibility in market timing analysis:
1. Degree-Interval-Based Plotting (Default Method)
Input a fixed planetary interval (e.g., 30, 45, 9.78), and the indicator will:
Plot vertical background color changes at each elapse in planetary degrees of the selected planetary interval.
Project these intervals into the future with vertical lines and labels.
2. 360 Conversion Units (Alternative Time Measurement #1 – Bypasses Standard Degree-Based Plotting)
This method finds price-time equivalence through 360-base reduction, meaning it subtracts 360 increments from the price of a selected high or low until the result is under 360.
The final number serves as the working planetary degree measurement interval, and projections are plotted using this value.
The indicator will:
Plot vertical background color changes at each occurrence of this planetary interval.
Project these intervals into the future with vertical lines and labels.
Example Calculation:
If the selected high or low is already under 360:
Suppose the market high is 280 → The indicator uses 280 as the working planetary degree measurement interval.
Future projections are plotted using 280° increments.
If the selected high or low is above 360:
Suppose Bitcoin’s high at $64,899, and 360 Conversion Units are enabled. The script will:
Subtract multiples of 360 from 64,899:
64,899 - 360 = 64,539
64,539 - 360 = 64,179
Continue this process until the value is less than 360
The final result would be 99, meaning the working planetary degree measurement interval is 99°.
The indicator then plots these 99° intervals as planetary time projections as shown in the image below. This image also shows the math label option to show or hide as user info.
3. 100-Unit Time Measurement (Alternative Time Measurement #2
This method establishes a relationship between price and time by taking one-tenth (1/10) of a selected high or low and using that as the planetary measurement interval.
The indicator will:
Plot vertical background color changes at each occurrence of this planetary interval.
Project these intervals into the future with vertical lines and labels.
Example Calculation:
If the selected market high is 1,000, the resulting planetary interval would be 100.
The script plots projections at 100° intervals for future timing analysis.
Additional Features:
✔ Selectable Math Label Option – Users can enable an option to view the calculations behind both alternative methods to help determine if scaling is needed.
✔ Customizable Scaling for High or Low Prices – Adjustable scaling inputs allow the indicator to work with prices that are too high or too low, ensuring compatibility across different markets.
How to Use:
Load the indicator onto your chart anytime.
Select a significant high or low datetime & price as the base measurement.
Choose one of three measurement methods:
Standard Degree-Interval Plotting → Plots at fixed user input planetary intervals.
360 Conversion Units → Finds price-time equivalence through 360-based reductions.
100-Unit Time Measurement → Finds price-time equivalence by 1/10 units.
(Optional) Enable the math display option to see the calculation process.
(Optional) Adjust scaling to accommodate market prices that are significantly high or low.
Observe the projected planetary time intervals, which are plotted on the chart with background color changes, vertical lines, and labeled planetary time projections. Perfect for backtesting.
Inspired by the works of Michael Jenkins and George Bayer, and powered by AstroLib, developed by @BarefootJoey
Square of Nine Planetary Time ProgressionThis indicator enables users to plot future planetary projections in alignment with Square of Nine progression.
Description:
The Square of Nine Planetary Time Progression Indicator is a time-based market forecasting tool that integrates W.D. Gann’s Square of Nine principles with planetary time intervals. By mapping planetary cycles onto a geometric framework, this indicator may help traders identify potential market turning points with precision, aligning planetary time with Square of Nine progression.
It provides the ability to use geo or helio planetary positions, including the Moon, making it applicable for both long-term and intraday market timing.
Unlike traditional planetary cycle tools that rely on zodiacal aspects, this indicator focuses on planetary time intervals and their geometric relationships within the Square of Nine to forecast potential future key points in the market.
How to Use:
1. Select a Significant High or Low on any time frame
This reference point serves as the starting measurement for planetary time calculations, from which planetary time degrees will accumulate . Each subsequent projection reflects the cumulative solar or planetary degrees from this initial pivot, establishing a structured sequence of time-based market intervals.
2. Align the Degree Interval with the Next Market Swing:
Set the degree interval to align with the next major market swing from the intial point set in step 1.
The planetary time between these two points establishes the base time measurement for further calculations.
3. The script generates Square of Nine rotational increments, where the base measurement serves as the cornerstone for all future progressions/planetary time projections. As the script continues rotating around the Square of Nine, it produces the following sequence:
360° (Full Cycle) – The next full rotation from the base measurement.
180° (Half Cycle) – The midpoint between full cycles.
90° Increment from the Base Measurement – The first step in the Square of Nine progression.
90° Increment from 180° – The next step in the sequence, leading toward the full cycle.
Each of these increments builds upon the initial planetary time measurement, accumulating degrees through a structured Square of Nine progression, ensuring that future time projections align geometrically with the starting swing measurement.
Example Calculation:
Selecting the Base Measurement:
When the indicator is loaded, lets say the user selects a significant low as the starting point for the calculation.
Next, the user sets the input of the degree interval to align with the next major swing from that significant low.
Suppose the measured swing from the starting point occurs at 145 solar degrees—this becomes the base planetary time measurement.
Applying the Square of Nine Rotational Increments:
The script takes 145° and maps it onto the Square of Nine.
From 145° , the script projects future planetary degrees intervals based on the progression of 90-degree increments around the Square of Nine structure.
Generating Key Rotational Points:
Starting from 145° on the Square of Nine, we apply successive 90° increments:
151° (First 90° increment)
157°
163°
169° (180° opposition point)
176°
183°
190°
197° (Full 360° cycle rotation on the Square of Nine) and the rotation continues onto the next rung on the square of nine.
Plotting Future Projection Intervals:
The indicator plots these calculated degree intervals as future timing markers on the chart.
The opposition (180°) and full 360° cycle rotations are visually labelled using the conjunction (☌) and opposition (☍) symbols.
These symbols do not represent planetary aspects (as in traditional astrology) but instead mark geometric aspects derived from the Square of Nine.
These projected dates may help traders forecasting key market points in time. No repaint.
This indicator is inspired by the works of W.D. Gann and Patrick Mikula and is powered by AstroLib, developed by @BarefootJoey
Intraday example:
You can see that we're on the 4-hour chart using the Moon, with our initial measurement spanning 37 lunar degrees from high to low. The Square of Nine time projections are calculated in planetary degrees and plotted on the chart, forecasting future timing intervals.
Float Turnover Signal
The *Float Turnover Signal* indicator helps traders analyze the relationship between price changes and trading volume relative to the stock's free float. It generates signals based on turnover ratios, providing insights into liquidity-driven price movements.
**How It Works**
- The indicator calculates the **percentage change** in closing price from two days ago to the previous day.
- It retrieves the **free float** (the number of publicly available shares) from TradingView.
- It then calculates the **turnover percentage**, which represents the previous day's trading volume as a percentage of the free float.
- The **turnover ratio** is derived by dividing the price change percentage by the turnover percentage.
- Based on this ratio, the indicator generates **color-coded signals**:
- 🟢 **Green Signal** – Indicates a balanced turnover ratio (0.8 to 1.2), suggesting a stable price-volume relationship.
- 🟡 **Yellow Signal** – Indicates a near-optimal but not perfect ratio (0.6-0.8 or 1.2-1.5), suggesting caution.
**Customization & Features**
✅ **Adjustable Signal Display** – Users can choose how many recent bars will display signals using the `"Number of Bars to Display Signal"` setting.
✅ **Works on Any Timeframe** – The indicator adapts to different chart resolutions.
✅ **Helps Identify Volume-Driven Moves** – Ideal for spotting potential breakouts, liquidity shifts, and confirming price action validity.
RoGr75 - Global Exchange Open/Close SignalsGlobal Exchange Open/Close Signals Indicator
This indicator helps traders track market hours for major global exchanges (NYSE, LSE, TSE, HKEX, and ASX) with these key features:
• Real-time Status Dashboard: Shows which exchanges are currently open/closed with an easy-to-read color-coded display (Green = Open, Red = Closed)
• Visual Market Open/Close Signals: Displays gradient background lines when your selected exchange opens (green) or closes (red)
• Timezone Adjustment: Easily adapt the indicator to your local timezone using the UTC offset setting
Supported Exchanges and Trading Hours (UTC):
• NYSE: 13:30 - 20:00 (9:30 AM - 4:00 PM ET)
• LSE: 08:00 - 16:30 (8:00 AM - 4:30 PM London)
• TSE: 00:00 - 06:30 (9:00 AM - 3:30 PM Tokyo)
• HKEX: 01:30 - 08:00 (9:30 AM - 4:00 PM HK)
• ASX: 00:00 - 06:00 (10:00 AM - 4:00 PM Sydney)
Settings:
• Select Exchange: Choose which exchange to monitor for open/close signals
• Show Dashboard: Toggle the exchange status dashboard on/off
• User Timezone Offset: Adjust the display to your local timezone (in UTC)
Use Cases:
• Monitor multiple exchange hours simultaneously
• Get visual alerts for market opens and closes
• Coordinate trading across different time zones
• Plan entries and exits around market hours
• Manage global trading portfolios effectively
Note: The indicator handles timezone conversions and markets crossing midnight automatically. Times are based on standard trading sessions and may not reflect holidays or special trading hours.
Time Based StatisticsThis indicator is a complex time-based statistics tool for analyzing intraday trading patterns. Here's a comprehensive breakdown:
1. **Session Management**
- Tracks trading sessions from 18:00 to 16:59 next day (using New York time)
- Separates analysis by weekdays (Monday through Friday)
- Resets statistics at week's end
2. **High/Low Time Tracking**
- Records when daily highs and lows occur for each day
- Maintains historical arrays of high/low times for pattern analysis
- Tracks high/low patterns in three main time periods:
- Evening/Overnight (18:00-23:59)
- Early Morning (00:00-09:59)
- Market Hours (10:00-16:59)
3. **Probability Calculations**
The indicator calculates several probabilities:
a) **Hold Probability**
- Calculates likelihood current high/low will remain day's high/low
- Counts how many historical highs/lows occurred in remaining hours
- Returns percentage based on historical patterns
b) **Most Frequent Times**
- Identifies which times most frequently produce highs/lows
- Tracks both primary and secondary (next highest) probable times
- Maintains historical counts of highs/lows by hour
4. **Pattern Analysis**
- Filters historical times based on current time
- Helps predict potential future high/low times
- Adjusts analysis based on time of day
5. **Data Display**
Shows statistics in a table including:
- Days of data analyzed
- Current day's high/low times
- Most frequent times for today's highs/lows
- Probability of current high/low holding
- Historical patterns for current hour
6. **Historical Data Management**
- Stores daily high/low data at week's end
- Maintains separate arrays for each day of the week
- Uses this historical data for pattern analysis
The indicator helps traders by:
- Understanding when highs/lows typically occur
- Assessing probability of new highs/lows
- Identifying historically significant time periods
- Providing statistical basis for timing decisions
Bitcoin Log Growth Curve OscillatorThis script presents the oscillator version of the Bitcoin Logarithmic Growth Curve 2024 indicator, offering a new perspective on Bitcoin’s long-term price trajectory.
By transforming the original logarithmic growth curve into an oscillator, this version provides a normalized view of price movements within a fixed range, making it easier to identify overbought and oversold conditions.
For a comprehensive explanation of the mathematical derivation, underlying concepts, and overall development of the Bitcoin Logarithmic Growth Curve, we encourage you to explore our primary script, Bitcoin Logarithmic Growth Curve 2024, available here . This foundational script details the regression-based approach used to model Bitcoin’s long-term price evolution.
Normalization Process
The core principle behind this oscillator lies in the normalization of Bitcoin’s price relative to the upper and lower regression boundaries. By applying Min-Max Normalization, we effectively scale the price into a bounded range, facilitating clearer trend analysis. The normalization follows the formula:
normalized price = (upper regresionline − lower regressionline) / (price − lower regressionline)
This transformation ensures that price movements are always mapped within a fixed range, preventing distortions caused by Bitcoin’s exponential long-term growth. Furthermore, this normalization technique has been applied to each of the confidence interval lines, allowing for a structured and systematic approach to analyzing Bitcoin’s historical and projected price behavior.
By representing the logarithmic growth curve in oscillator form, this indicator helps traders and analysts more effectively gauge Bitcoin’s position within its long-term growth trajectory while identifying potential opportunities based on historical price tendencies.
Buy on VolumeThis script has several weaknesses:
1. **Overly Simplistic Logic** – The buy signal is based on just two conditions (DEMA crossing above a Lorentzian Line and a volume spike), which may not be robust enough for real trading conditions.
2. **Lack of Sell Signals** – The script only focuses on buy signals without any exit strategy, making it incomplete for practical trading.
3. **Volume Confirmation May Be Unreliable** – The threshold for volume confirmation (50% above average) is arbitrary and may produce frequent false positives or fail in low-liquidity conditions.
4. **No Risk Management** – There is no stop-loss, take-profit, or risk-adjustment mechanism, making it unsuitable for serious trading.
5. **Potential for Late Entries** – The reliance on moving averages (DEMA) can introduce lag, causing buy signals to appear late after a price move has already occurred.
6. **Limited Adaptability** – The fixed parameter settings (e.g., DEMA period of 6, Lorentzian length of 21) may not work across different market conditions or assets.
7. **No Consideration for Market Trends** – The script does not account for broader market trends, which could lead to poor entries in bearish conditions.
8. **Visual Clutter** – The plotted signals and indicators might create unnecessary chart noise, making it difficult to analyze price action effectively.
9. **Alert Spam Potential** – Without additional filtering conditions, the script may trigger frequent buy alerts, leading to signal fatigue.
Full Moon and New Moon IndicatorThe Full Moon & New Moon Indicator is a custom Pine Script indicator which marks Full Moon (Pournami) and New Moon (Amavasya) events on the price chart. This indicator helps traders who incorporate lunar cycles into their market analysis, as certain traders believe these cycles influence market sentiment and price action. The current script is added for the year 2024 and 2025 and the dates are considered as per the Telugu calendar.
Features
✅ Identifies and labels Full Moon & New Moon days on the chart for the year 2024 and 2025
How it Works!
On a Full Moon day, it places a yellow label ("Pournami") above the corresponding candle.
On a New Moon day, it places a blue label ("Amavasya") above the corresponding candle.
Example Usage
When a Full Moon label appears, check for potential trend reversals or high volatility.
When a New Moon label appears, watch for market consolidation or a shift in sentiment.
Combine with candlestick patterns, support/resistance, or momentum indicators for a stronger trading setup.
🚀 Add this indicator to your TradingView chart and explore the market’s reaction to lunar cycles! 🌕
US 20Y Treasury YieldWhat This Indicator Does
This Pine Script creates a custom indicator for TradingView that displays the US 20-Year Treasury Yield (US20Y) on your chart. Here's what it does step by step:
1. What Is the US 20-Year Treasury Yield?
The US 20-Year Treasury Yield is a financial metric that shows the interest rate (or yield) investors earn when they buy US government bonds that mature in 20 years. It’s an important indicator of the economy and can influence other markets like stocks, bonds, and currencies.
2. How Does the Indicator Work?
The indicator fetches the latest data for the US 20-Year Treasury Yield from TradingView's database.
It then plots this data in a separate pane below your main chart, so you can easily monitor the yield without cluttering your price chart.
3. What Does the Indicator Show?
A blue line is drawn in the separate pane, showing the movement of the US 20-Year Treasury Yield over time.
A gray dashed line is added at the 4.0% level as a reference point. You can use this line to quickly see when the yield is above or below 4.0%.
5. Why Use This Indicator?
Monitor Economic Trends : The US 20-Year Treasury Yield is a key economic indicator. By plotting it on your chart, you can stay informed about changes in interest rates and their potential impact on other markets.
[COG]StochRSI Zenith📊 StochRSI Zenith
This indicator combines the traditional Stochastic RSI with enhanced visualization features and multi-timeframe analysis capabilities. It's designed to provide traders with a comprehensive view of market conditions through various technical components.
🔑 Key Features:
• Advanced StochRSI Implementation
- Customizable RSI and Stochastic calculation periods
- Multiple moving average type options (SMA, EMA, SMMA, LWMA)
- Adjustable signal line parameters
• Visual Enhancement System
- Dynamic wave effect visualization
- Energy field display for momentum visualization
- Customizable color schemes for bullish and bearish signals
- Adaptive transparency settings
• Multi-Timeframe Analysis
- Higher timeframe confirmation
- Synchronized market structure analysis
- Cross-timeframe signal validation
• Divergence Detection
- Automated bullish and bearish divergence identification
- Customizable lookback period
- Clear visual signals for confirmed divergences
• Signal Generation Framework
- Price action confirmation
- SMA-based trend filtering
- Multiple confirmation levels for reduced noise
- Clear entry signals with customizable display options
📈 Technical Components:
1. Core Oscillator
- Base calculation: 13-period RSI (adjustable)
- Stochastic calculation: 8-period (adjustable)
- Signal lines: 5,3 smoothing (adjustable)
2. Visual Systems
- Wave effect with three layers of visualization
- Energy field display with dynamic intensity
- Reference bands at 20/30/50/70/80 levels
3. Confirmation Mechanisms
- SMA trend filter
- Higher timeframe alignment
- Price action validation
- Divergence confirmation
⚙️ Customization Options:
• Visual Parameters
- Wave effect intensity and speed
- Energy field sensitivity
- Color schemes for bullish/bearish signals
- Signal display preferences
• Technical Parameters
- All core calculation periods
- Moving average types
- Divergence detection settings
- Signal confirmation criteria
• Display Settings
- Chart and indicator signal placement
- SMA line visualization
- Background highlighting options
- Label positioning and size
🔍 Technical Implementation:
The indicator combines several advanced techniques to generate signals. Here are key components with code examples:
1. Core StochRSI Calculation:
// Base RSI calculation
rsi = ta.rsi(close, rsi_length)
// StochRSI transformation
stochRSI = ((ta.highest(rsi, stoch_length) - ta.lowest(rsi, stoch_length)) != 0) ?
(100 * (rsi - ta.lowest(rsi, stoch_length))) /
(ta.highest(rsi, stoch_length) - ta.lowest(rsi, stoch_length)) : 0
2. Signal Generation System:
// Core signal conditions
crossover_buy = crossOver(sk, sd, cross_threshold)
valid_buy_zone = sk < 30 and sd < 30
price_within_sma_bands = close <= sma_high and close >= sma_low
// Enhanced signal generation
if crossover_buy and valid_buy_zone and price_within_sma_bands and htf_allows_long
if is_bullish_candle
long_signal := true
else
awaiting_bull_confirmation := true
3. Multi-Timeframe Analysis:
= request.security(syminfo.tickerid, mtf_period,
)
The HTF filter looks at a higher timeframe (default: 4H) to confirm the trend
It only allows:
Long trades when the higher timeframe is bullish
Short trades when the higher timeframe is bearish
📈 Trading Application Guide:
1. Signal Identification
• Oversold Opportunities (< 30 level)
- Look for bullish crosses of K-line above D-line
- Confirm with higher timeframe alignment
- Wait for price action confirmation (bullish candle)
• Overbought Conditions (> 70 level)
- Watch for bearish crosses of K-line below D-line
- Verify higher timeframe condition
- Confirm with bearish price action
2. Divergence Trading
• Bullish Divergence
- Price makes lower lows while indicator makes higher lows
- Most effective when occurring in oversold territory
- Use with support levels for entry timing
• Bearish Divergence
- Price makes higher highs while indicator shows lower highs
- Most reliable in overbought conditions
- Combine with resistance levels
3. Wave Effect Analysis
• Strong Waves
- Multiple wave lines moving in same direction indicate momentum
- Wider wave spread suggests increased volatility
- Use for trend strength confirmation
• Energy Field
- Higher intensity in trading zones suggests stronger moves
- Use for momentum confirmation
- Watch for energy field convergence with price action
The energy field is like a heat map that shows momentum strength
It gets stronger (more visible) when:
Price is in oversold (<30) or overbought (>70) zones
The indicator lines are moving apart quickly
A strong signal is forming
Think of it as a "strength meter" - the more visible the energy field, the stronger the potential move
4. Risk Management Integration
• Entry Confirmation
- Wait for all signal components to align
- Use higher timeframe for trend direction
- Confirm with price action and SMA positions
• Stop Loss Placement
- Consider placing stops beyond recent swing points
- Use ATR for dynamic stop calculation
- Account for market volatility
5. Position Management
• Partial Profit Taking
- Consider scaling out at overbought/oversold levels
- Use wave effect intensity for exit timing
- Monitor energy field for momentum shifts
• Trade Duration
- Short-term: Use primary signals in trading zones
- Swing trades: Focus on divergence signals
- Position trades: Utilize higher timeframe signals
⚠️ Important Usage Notes:
• Avoid:
- Trading against strong trends
- Relying solely on single signals
- Ignoring higher timeframe context
- Over-leveraging based on signals
Remember: This tool is designed to assist in analysis but should never be used as the sole decision-maker for trades. Always maintain proper risk management and combine with other forms of analysis.
[SHORT ONLY] 10 Bar Low Pullback█ STRATEGY DESCRIPTION
The "10 Bar Low Pullback" strategy is a contrarian short trading system designed to capture pullbacks after a new 10‐bar low is made. it identifies a potential short opportunity when the current bar’s low breaks below the lowest low of the previous 10 bars, provided that the bar exhibits strong internal momentum as measured by its IBS value. An optional trend filter further refines entries by requiring that the close is below a 200-period EMA.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
ibs = (close - low) / (high - low)
- Low IBS (≤ 0.2): Indicates the close is near the bar's low, suggesting oversold conditions.
- High IBS (≥ 0.8): Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The current bar’s low is below the lowest low of the past X bars (default: 10).
The bar’s IBS is greater than the specified threshold (default: 0.85).
The signal occurs within the defined trading window (between Start Time and End Time).
If the EMA Filter is enabled, the close must be below the 200-period EMA.
2. EXIT CONDITION
An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position.
█ ADDITIONAL SETTINGS
Lookback Period: Defines the number of bars (default is 10) over which the lowest low is calculated.
IBS Threshold: Sets the minimum required IBS value (default is 0.85) to qualify as a pullback.
Trading Window: Trades are only executed between the user-defined Start Time and End Time.
EMA Filter (Optional): When enabled, short entries are only considered if the current close is below the 200-period EMA, with the EMA period being adjustable (default is 200).
█ PERFORMANCE OVERVIEW
Designed for shorting opportunities, this strategy aims to capture pullbacks following an aggressive 10-bar low break.
It leverages a combination of a lookback low and IBS measurement to identify overextended bullish moves that may revert.
The optional EMA filter helps confirm a bearish market environment by ensuring the price remains under the trend line.
Suitable for use on various assets, including stocks and ETFs, on daily or similar timeframes.
Backtesting and parameter optimization are recommended to tailor the strategy to specific market conditions.
[SHORT ONLY] ATR Sell the Rip Mean Reversion Strategy█ STRATEGY DESCRIPTION
The "ATR Sell the Rip Mean Reversion Strategy" is a contrarian system that targets overextended price moves on stocks and ETFs. It calculates an ATR‐based trigger level to identify shorting opportunities. When the current close exceeds this smoothed ATR trigger, and if the close is below a 200-period EMA (if enabled), the strategy initiates a short entry, aiming to profit from an anticipated corrective pullback.
█ HOW IS THE ATR SIGNAL BAND CALCULATED?
This strategy computes an ATR-based signal trigger as follows:
Calculate the ATR
The strategy computes the Average True Range (ATR) using a configurable period provided by the user:
atrValue = ta.atr(atrPeriod)
Determine the Threshold
Multiply the ATR by a predefined multiplier and add it to the current close:
atrThreshold = close + atrValue * atrMultInput
Smooth the Threshold
Apply a Simple Moving Average over a specified period to smooth out the threshold, reducing noise:
signalTrigger = ta.sma(atrThreshold, smoothPeriodInput)
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The current close is above the smoothed ATR signal trigger.
The trade occurs within the specified trading window (between Start Time and End Time).
If the EMA filter is enabled, the close must also be below the 200-period EMA.
2. EXIT CONDITION
An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), indicating a potential bearish reversal and prompting the strategy to close its short position.
█ ADDITIONAL SETTINGS
ATR Period: The period used to calculate the ATR, allowing for adaptability to different volatility conditions (default is 20).
ATR Multiplier: The multiplier applied to the ATR to determine the raw threshold (default is 1.0).
Smoothing Period: The period over which the raw ATR threshold is smoothed using an SMA (default is 10).
Start Time and End Time: Defines the time window during which trades are allowed.
EMA Filter (Optional): When enabled, short entries are only executed if the current close is below the 200-period EMA, confirming a bearish trend.
█ PERFORMANCE OVERVIEW
This strategy is designed for use on the Daily timeframe, targeting stocks and ETFs by capitalizing on overextended price moves.
It utilizes a dynamic, ATR-based trigger to identify when prices have potentially peaked, setting the stage for a mean reversion short entry.
The optional EMA filter helps align trades with broader market trends, potentially reducing false signals.
Backtesting is recommended to fine-tune the ATR multiplier, smoothing period, and EMA settings to match the volatility and behavior of specific markets.
[SHORT ONLY] Consecutive Bars Above MA Strategy█ STRATEGY DESCRIPTION
The "Consecutive Bars Above MA Strategy" is a contrarian trading system aimed at exploiting overextended bullish moves in stocks and ETFs. It monitors the number of consecutive bars that close above a chosen short-term moving average (which can be either a Simple Moving Average or an Exponential Moving Average). Once the count reaches a preset threshold and the current bar’s close exceeds the previous bar’s high within a designated trading window, a short entry is initiated. An optional EMA filter further refines entries by requiring that the current close is below the 200-period EMA, helping to ensure that trades are taken in a bearish environment.
█ HOW ARE THE CONSECUTIVE BULLISH COUNTS CALCULATED?
The strategy utilizes a counter variable, `bullCount`, to track consecutive bullish bars based on their relation to the short-term moving average. Here’s how the count is determined:
Initialize the Counter
The counter is initialized at the start:
var int bullCount = na
Bullish Bar Detection
For each bar, if the close is above the selected moving average (either SMA or EMA, based on user input), the counter is incremented:
bullCount := close > signalMa ? (na(bullCount) ? 1 : bullCount + 1) : 0
Reset on Non-Bullish Condition
If the close does not exceed the moving average, the counter resets to zero, indicating a break in the consecutive bullish streak.
█ SIGNAL GENERATION
1. SHORT ENTRY
A short signal is generated when:
The number of consecutive bullish bars (i.e., bars closing above the short-term MA) meets or exceeds the defined threshold (default: 3).
The current bar’s close is higher than the previous bar’s high.
The signal occurs within the specified trading window (between Start Time and End Time).
Additionally, if the EMA filter is enabled, the entry is only executed when the current close is below the 200-period EMA.
2. EXIT CONDITION
An exit signal is triggered when the current close falls below the previous bar’s low, prompting the strategy to close the short position.
█ ADDITIONAL SETTINGS
Threshold: The number of consecutive bullish bars required to trigger a short entry (default is 3).
Trading Window: The Start Time and End Time inputs define when the strategy is active.
Moving Average Settings: Choose between SMA and EMA, and set the MA length (default is 5), which is used to assess each bar’s bullish condition.
EMA Filter (Optional): When enabled, this filter requires that the current close is below the 200-period EMA, supporting entries in a downtrend.
█ PERFORMANCE OVERVIEW
This strategy is designed for stocks and ETFs and can be applied across various timeframes.
It seeks to capture mean reversion by shorting after a series of bullish bars suggests an overextended move.
The approach employs a contrarian short entry by waiting for a breakout (close > previous high) following consecutive bullish bars.
The adjustable moving average settings and optional EMA filter allow for further optimization based on market conditions.
Comprehensive backtesting is recommended to fine-tune the threshold, moving average parameters, and filter settings for optimal performance.
[SHORT ONLY] Consecutive Close>High[1] Mean Reversion Strategy█ STRATEGY DESCRIPTION
The "Consecutive Close > High " Mean Reversion Strategy is a contrarian daily trading system for stocks and ETFs. It identifies potential shorting opportunities by counting consecutive days where the closing price exceeds the previous day's high. When this consecutive day count reaches a predetermined threshold, and if the close is below a 200-period EMA (if enabled), a short entry is triggered, anticipating a corrective pullback.
█ HOW ARE THE CONSECUTIVE BULLISH COUNTS CALCULATED?
The strategy uses a counter variable called `bullCount` to track how many consecutive bars meet a bullish condition. Here’s a breakdown of the process:
Initialize the Counter
var int bullCount = 0
Bullish Bar Detection
Every time the close exceeds the previous bar's high, increment the counter:
if close > high
bullCount += 1
Reset on Bearish Bar
When there is a clear bearish reversal, the counter is reset to zero:
if close < low
bullCount := 0
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The count of consecutive bullish closes (where close > high ) reaches or exceeds the defined threshold (default: 3).
The signal occurs within the specified trading window (between Start Time and End Time).
2. EXIT CONDITION
An exit Signal is generated when the current close falls below the previous bar’s low (close < low ), prompting the strategy to exit the position.
█ ADDITIONAL SETTINGS
Threshold: The number of consecutive bullish closes required to trigger a short entry (default is 3).
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
EMA Filter (Optional): When enabled, short entries are only triggered if the current close is below the 200-period EMA.
█ PERFORMANCE OVERVIEW
This strategy is designed for Stocks and ETFs on the Daily timeframe and targets overextended bullish moves.
It aims to capture mean reversion by entering short after a series of consecutive bullish closes.
Further optimization is possible with additional filters (e.g., EMA, volume, or volatility).
Backtesting should be used to fine-tune the threshold and filter settings for specific market conditions.
[SHORT ONLY] Internal Bar Strength (IBS) Mean Reversion Strategy█ STRATEGY DESCRIPTION
The "Internal Bar Strength (IBS) Strategy" is a mean-reversion strategy designed to identify trading opportunities based on the closing price's position within the daily price range. It enters a short position when the IBS indicates overbought conditions and exits when the IBS reaches oversold levels. This strategy is Short-Only and was designed to be used on the Daily timeframe for Stocks and ETFs.
█ WHAT IS INTERNAL BAR STRENGTH (IBS)?
Internal Bar Strength (IBS) measures where the closing price falls within the high-low range of a bar. It is calculated as:
IBS = (Close - Low) / (High - Low)
- Low IBS (≤ 0.2) : Indicates the close is near the bar's low, suggesting oversold conditions.
- High IBS (≥ 0.8) : Indicates the close is near the bar's high, suggesting overbought conditions.
█ SIGNAL GENERATION
1. SHORT ENTRY
A Short Signal is triggered when:
The IBS value rises to or above the Upper Threshold (default: 0.9).
The Closing price is greater than the previous bars High (close>high ).
The signal occurs within the specified time window (between `Start Time` and `End Time`).
2. EXIT CONDITION
An exit Signal is generated when the IBS value drops to or below the Lower Threshold (default: 0.3). This prompts the strategy to exit the position.
█ ADDITIONAL SETTINGS
Upper Threshold: The IBS level at which the strategy enters trades. Default is 0.9.
Lower Threshold: The IBS level at which the strategy exits short positions. Default is 0.3.
Start Time and End Time: The time window during which the strategy is allowed to execute trades.
█ PERFORMANCE OVERVIEW
This strategy is designed for Stocks and ETFs markets and performs best when prices frequently revert to the mean.
The strategy can be optimized further using additional conditions such as using volume or volatility filters.
It is sensitive to extreme IBS values, which help identify potential reversals.
Backtesting results should be analyzed to optimize the Upper/Lower Thresholds for specific instruments and market conditions.
IPO Date ScreenerThis script, the IPO Date Screener, allows traders to visually identify stocks that are relatively new, based on the number of bars (days) since their IPO. The user can set a custom threshold for the number of days (bars) after the IPO, and the script will highlight new stocks that fall below that threshold.
Key Features:
Customizable IPO Days Threshold: Set the threshold for considering a stock as "new." Since Pine screener limits number bars to 500, it will work for stocks having trading days below 500 since IPO which almost 2 years.
Column Days since IPO: Sort this column from low to high to see newest to oldest STOCK with 500 days of trading.
Since a watchlist is limited to 1000 stocks, use this pines script to screen stocks within the watch list having trading days below 500 or user can select lower number of days from settings.
This is not helpful to add on chart, this is to use on pine screener as utility.
2xSPYTIPS Strategy by Fra public versionThis is a test strategy with S&P500, open source so everyone can suggest everything, I'm open to any advice.
Rules of the "2xSPYTIPS" Strategy :
This trading strategy is designed to operate on the S&P 500 index and the TIPS ETF. Here’s how it works:
1. Buy Conditions ("BUY"):
- The S&P 500 must be above its **200-day simple moving average (SMA 200)**.
- This condition is checked at the **end of each month**.
2. Position Management:
- If leverage is enabled (**2x leverage**), the purchase quantity is increased based on a configurable percentage.
3. Take Profit:
- A **Take Profit** is set at a fixed percentage above the entry price.
4. Visualization & Alerts:
- The **SMA 200** for both S&P 500 and TIPS is plotted on the chart.
- A **BUY signal** appears visually and an alert is triggered.
What This Strategy Does NOT Do
- It does not use a **Stop Loss** or **Trailing Stop**.
- It does not directly manage position exits except through Take Profit.
Full Cycle Valuation | QuantumResearchQuantumResearch Full Cycle Valuation Indicator for BTC only!
The Full Cycle Valuation indicator is an advanced on-chain valuation model that synthesizes multiple fundamental Bitcoin metrics into a single, normalized score.
By leveraging Power Law Corridor, Pi Cycle Top, Crosby Ratio, MVRV Z-Score, SOPR Z-Score, NUPL Z-Score, BAERM, and other key valuation signals, this tool provides traders and investors with an intuitive way to assess Bitcoin’s market cycle positioning and identify potential overbought or undervalued conditions. 🚀📊
1. Overview
This indicator helps users:
Identify Market Cycles – Uses a blend of statistical and fundamental models to determine whether Bitcoin is undervalued or overvalued.🔄
Normalize On-Chain & Valuation Metrics – Standardizes multiple valuation indicators through Z-score transformation for clearer insights📉📈
Assess Risk & Reward – Generates an Average Valuation Z-score, offering a high-level overview of current market positioning. ⚖️
Customize Visual Preferences – Dynamic color-coded signals, background fills, and table-based valuation metrics enhance usability. 🎨
2. How It Works
A. Power Law Corridor
The Power Law Model provides a long-term price corridor for Bitcoin based on a logarithmic regression formula. 🔢
The indicator evaluates where the current price sits relative to the Power Law Support & Resistance levels. 📊
Normalized Z-score Calculation: A standardized metric indicating overvaluation or undervaluation. 🎯
B. Pi Cycle Top
Uses the 111-day and 350-day moving averages to identify cyclical market peaks. 🔺
Generates a Z-score that measures deviation from historical overbought conditions. ⚠️
C. Crosby Ratio
Measures market momentum by analyzing Heikin-Ashi candle trends and ATR-based volatility. 📊
Provides a weekly trend strength score that is normalized into a Z-score. 📈
D. MVRV Z-Score
Compares Bitcoin's Market Cap to Realized Cap to assess whether price is above or below fair value. 💰
The higher the MVRV Z-score, the more overvalued Bitcoin is; lower scores indicate undervaluation. 🔻
E. SOPR Z-Score
Spent Output Profit Ratio (SOPR) measures profit-taking behavior in the market. 💵
SOPR is smoothed and standardized to filter out noise and highlight macro trends. 📊
F. NUPL Z-Score
Net Unrealized Profit/Loss (NUPL) calculates the proportion of coins held in profit versus loss. 📉📈
High Z-score values indicate speculative euphoria, while low values suggest capitulation. ⚠️
G. BAERM (Bitcoin AR Model)
BAERM is a statistical model that incorporates Bitcoin's supply, halvings, and historical growth trends to estimate fair value. 📉
This model is adjusted with a damping function to remove excess noise. 🎛️
H. Composite Full Cycle Z-Score
The indicator calculates a weighted average Z-score across all valuation models to generate a final Full Cycle Valuation Score. 📊
The score is used to define five distinct market states:
Very Undervalued (-3 to -2 Z-score): Ideal accumulation zone. 🟢
Undervalued (-2 to -1.5 Z-score): Accumulate Bitcoin at a discount. 🔵
Neutral (-1.5 to +1.5 Z-score): Fair market conditions. ⚪
Overheated (+1.5 to +2 Z-score): Potential distribution phase. 🟠
Very Overheated (>2 Z-score): High risk of market tops. 🔴
3. Visual Representation
This indicator offers multiple dynamic visual elements to improve clarity and ease of use:
Color-Coded Background Fill
Green Background – Indicates undervalued market conditions (Accumulation). 🟢
Blue Background – Signals overheated conditions (Distribution). 🔵
Table Display for Z-Scores
Displays each individual valuation model’s Z-score in a compact, color-coded format. 📊
The final average Z-score is highlighted, along with a corresponding market action recommendation. 🎯
4. Customization & Parameters
Traders and analysts can fine-tune the Full Cycle Valuation indicator to match their specific strategies:
On-Chain Valuation Metrics MVRV, SOPR, and NUPL Z-score lengths can be adjusted for different market perspectives.
Market Cycle Models Power Law Corridor: Adjustable regression parameters to modify long-term projections.
Pi Cycle & Crosby Ratio: Customizable smoothing lengths.
Threshold Adjustments Modify overvaluation and undervaluation thresholds to fine-tune signal sensitivity.
Visual Settings
Valuation Mode: Allows traders to switch between default mode and valuation-focused color themes. 🎨
5. Trading Applications
This indicator is not just for trading—it serves as a powerful macro analysis tool:
Long-Term Investing – Helps Bitcoin investors identify key accumulation and distribution phases. 📈
Market Timing – Guides traders in recognizing overbought and oversold conditions based on fundamental valuation. ⏳
Risk Management – Provides a systematic way to assess whether Bitcoin is fundamentally cheap or expensive. ⚠️
Cyclical Trend Analysis – Helps long-term investors compare past market cycles and spot repeating patterns. 🔄
6. Final Thoughts
The Full Cycle Valuation Indicator is a comprehensive macro valuation tool that combines multiple on-chain, statistical, and fundamental models into one easy-to-interpret score.
Whether you are a long-term investor looking to time Bitcoin cycles or a trader searching for additional confluence, this tool offers invaluable insights.
Important Disclaimer: No indicator can predict future price action with certainty. Always perform additional research and use proper risk management when making investment decisions. ⚠️📊
Exhaustion Analysis - Bullish and Bearish Exhaustion Points Single Timeframe Exhaustion Analysis is an advanced Pine Script trading tool meticulously designed to provide traders with granular insights into market exhaustion and potential reversals by leveraging data from a single lower timeframe.
This script utilizes the request.security_lower_tf() function to pull high, low, close, and volume data from a user-specified lower timeframe, ensuring that the analysis is rooted in detailed, intraday price action rather than broader, less responsive data points.
At the heart of this indicator is a multi-faceted approach to market analysis, employing several key metrics that evaluate market efficiency, directional volume imbalances, and volume-to-price relationships.
The script calculates price efficiency as the relative movement of price compared to traded volume, offering a measure of how efficiently the market is absorbing buy and sell orders.
Directional imbalance is assessed by examining the dominance between buy-side and sell-side volumes, while volume-to-price ratios provide insight into the intensity of trading activity relative to price fluctuations.
Each of these metrics is computed across the entire range of lower timeframe data, generating individual values that are then aggregated and normalized.This normalization process ensures that no single metric dominates the analysis, instead creating a balanced composite view of market conditions.
The script’s normalization method scales these metrics into proportional ratios, allowing for consistent comparison across varying market states and ensuring adaptability in dynamic trading environments.
To enhance its detection capabilities, the indicator incorporates a multi-layered composite scoring system.
Three distinct composite scores are derived, each placing different emphasis on various market metrics, ranging from price efficiency and directional imbalance to volume dynamics and rate-of-change acceleration.These composite scores are then combined into a final composite score, which serves as the foundation for the script’s exhaustion and reversal detection logic.The script identifies exhaustion by comparing the final composite score against a historical percentile-based threshold, dynamically calculated over an extensive lookback period.
When market conditions reflect extreme exhaustion—either due to rapid price movements, volume surges, or directional imbalances—the script flags potential reversal zones.These exhaustion flags are visually represented as histogram plots, providing clear, real-time indicators of emerging market fatigue.
In addition to exhaustion detection, the indicator assesses potential directional reversals by integrating volatility-based range calculations.Utilizing a rolling average of price ranges, the script detects instances where the market breaks beyond typical price boundaries, signaling possible trend reversals.
Buy signals are generated when the price breaks above the previous high plus an adaptive range during periods of exhaustion, while sell signals occur when the price drops below the previous low minus the adaptive range under similar exhausted conditions.
To enhance usability, the script visually presents its analysis through multiple plots, including histogram representations of exhaustion flags, upward and downward reversal indicators, and the continuously updating final composite score.
Labels are dynamically added to the chart, marking buy and sell opportunities, ensuring that traders have clear, actionable insights at their fingertips.This script stands out for its meticulous use of lower timeframe data, comprehensive market metrics, and dynamic exhaustion detection, making it a valuable tool for traders looking to identify high-probability reversal points with precision and confidence.
