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.
Cycles
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! 🚀✨
Trading ChecklistTrading Checklist Indicator - Your Trading Plan Companion
A clean and efficient visual checklist to maintain trading discipline and consistency. This indicator helps traders follow their trading plan systematically by providing an easy-to-use checklist of key confirmation points.
Features:
- Visual checklist with clear green/red status indicators
- Clean, non-intrusive interface
- Real-time status updates
- Easy toggle controls for each item
Key Checkpoints:
1. HTF Structure Analysis
2. Order Flow Confirmation
3. SD/OB/FVG (HTF POI) Identification
4. Liquidity Grab Verification
5. Reversal Alignment Check
Final Confirmations:
- Trade Validity Check
- POI & Stop Loss Safety
- Set and Forget Status
How to Use:
1. Add the indicator to your chart
2. Use the Settings panel to toggle each condition
3. Green dots indicate confirmed conditions
4. Red dots show pending confirmations
5. Verify all conditions before executing trades
Note: This indicator helps maintain trading discipline but should be used alongside proper technical and fundamental analysis.
Tags: #TradingChecklist #RiskManagement #TradingPlan #Trading #Technical #Strategy #Discipline
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.
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.
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.
Blockchain Fundamentals: Liquidity Cycle MomentumLiquidity Cycle Momentum Indicator
Overview:
This indicator analyzes global liquidity trends by calculating a unique Liquidity Index and measuring its year-over-year (YoY) percentage change. It then applies a momentum oscillator to the YoY change, providing insights into the cyclical momentum of liquidity. The indicator incorporates a limited historical data workaround to ensure accurate calculations even when the chart’s history is short.
Features Breakdown:
1. Limited Historical Data Workaround
Function: The limit(length) function adjusts the lookback period when there isn’t enough historical data (i.e., near the beginning of the chart), ensuring that calculations do not break due to insufficient data.
2. Global Liquidity Calculation
Data Sources:
TVC:CN10Y (10-year yield from China)
TVC:DXY (US Dollar Index)
ECONOMICS:USCBBS (US Central Bank Balance Sheet)
FRED:JPNASSETS (Japanese assets)
ECONOMICS:CNCBBS (Chinese Central Bank Balance Sheet)
FRED:ECBASSETSW (ECB assets)
Calculation Methodology:
A ratio is computed (cn10y / dxy) to adjust for currency influences.
The Liquidity Index is then derived by multiplying this ratio with the sum of the other liquidity components.
3. Year-over-Year (YoY) Percent Change
Computation:
The indicator determines the number of bars that approximately represent one year.
It then compares the current Liquidity Index to its value one year ago, calculating the YoY percentage change.
4. Momentum Oscillator on YoY Change
Oscillator Components:
1. Calculated using the Chande Momentum Oscillator (CMO) applied to the YoY percent change with a user-defined momentum length.
2. A weighted moving average (WMA) that smooths the momentum signal.
3. Overbought and Oversold zones
Signal Generation:
Buy Signal: Triggered when the momentum crosses upward from an oversold condition, suggesting a potential upward shift in liquidity momentum.
Sell Signal: Triggered when crosses below an overbought condition, indicating potential downward momentum.
State Management:
The indicator maintains a state variable to avoid repeated signals, ensuring that a new buy or sell signal is only generated when there’s a clear change in momentum.
5. Visual Presentation and Alerts
Plots:
The oscillator value and signalline are plotted for visual analysis.
Overbought and oversold levels are marked with dashed horizontal lines.
Signal Markers:
Buy and sell signals are marked with green and maroon circles, respectively.
Background Coloration:
Optionally, the chart’s background bars are colored (yellow for buy signals and fuchsia for sell signals) to enhance visual cues when signals are triggered.
Conclusion
In summary, the Liquidity Cycle Momentum Indicator provides a robust framework to analyze liquidity trends by combining global liquidity data, YoY changes, and momentum oscillation. This makes it an effective tool for traders and analysts looking to identify cyclical shifts in liquidity conditions and potential turning points in the market.
ICT First Presented FVG - NY Open [LuckyAlgo]
This indicator identifies the first Fair Value Gap (FVG) that occurs during the New York trading session, combined with NY session opening price levels. It's an essential tool for traders who follow ICT concepts and focus on the NY trading session.
ICT refers to this as the First Presented FVG, while other traders may call it the 9:30 FVG.
This indicator is best for the 1 minute timeframe, while 5 minute also works.
Detects and marks the first FVG of the NY session
Displays both bullish (green) and bearish (red) FVGs with customizable transparency
Shows the NY session opening price with clear labels
Includes optional vertical line at 9:30 AM NY open
Maintains clean chart visibility with adjustable maximum display days
Includes session date and time labels for easy reference
The indicator helps traders identify potential reversal zones and continuation opportunities by combining two powerful concepts: Fair Value Gaps and NY session opening price. This makes it particularly valuable for day traders and swing traders who want to capitalize on institutional order flow patterns during the most liquid trading session.
You can customize the indicator's appearance, including FVG box colors, time range display, and whether to show the NY open markers. This flexibility allows you to integrate it seamlessly with your existing trading setup.
Correlated asset and Daye's Quarterly TheoryThis indicator is based on the Quarterly Theory concepts from Daye. You can find him mainly on X as traderdaye.
It works on a new panel and the quarters will be drawn over the chart of the correlated that you set on its settings.
You can use every asset to compare with the main one to make easier to find divergences between days, sessions and 90 minutes cycles.
In different timeframes, the indicator could show more or less information about quarters, but will always show the compared asset one. This is due to limitations of the candles start (for example, the Session's Q2 open won't be shown on an hourly chart because it starts after 30 minutes of candle's open).
What can this indicator do for you?
- Show the correlated asset chart.
- Show daily, session and 90 minutes cycle boxes.
- Show Midnight and every session's Q2 open.
- Make easier for the trained eye to determine if the model is AMDX or XAMD, find PO3, turtle soups, SMT divergences, etc.
Do you have any suggestion? Please, leave it on the comments. I'll try to improve this indicator regularly.
Dynamic Momentum Shift Detector [Invesmate]Dynamic Momentum Shift Detector
Overview
The Dynamic Momentum Shift Detector is an advanced trend-following and momentum-based indicator designed to help traders identify high-probability trading opportunities. It combines RSI-based momentum detection, Supertrend confirmation, and EMA sentiment tracking to provide reliable buy and sell signals.
This indicator is useful for traders who rely on price action and momentum shifts to make informed trading decisions. The goal is to capture early trend reversals while filtering false signals using multiple confirmations.
Key Features & Unique Aspects
RSI (2-Period) for Momentum Detection
Uses an extremely short 2-period RSI to detect overbought (75) and oversold (25) conditions.
Buy Signal: RSI crosses above 25 and price is above the Supertrend line.
Sell Signal: RSI crosses below 75 and price is below the Supertrend line.
Supertrend for Trend Confirmation
A Supertrend (ATR 20, Factor 2) is used to validate the overall market trend.
Prevents false breakouts by ensuring buy signals occur above the Supertrend line and sell signals occur below it.
21-EMA Sentiment Filter
A 21-period Exponential Moving Average (EMA) acts as a market sentiment indicator.
Background color changes for quick visual cues:
Green Fill: Price is above EMA (bullish sentiment).
Red Fill: Price is below EMA (bearish sentiment).
Refined Buy/Sell Confirmation Criteria
To eliminate weak signals, additional price action conditions are applied:
Buy Confirmation: Higher high, bullish close, and strong candle body (>40% of range).
Sell Confirmation: Lower low, bearish close, and strong candle body (>40% of range).
Persistent Buy/Sell Levels
Displays persistent buy and sell levels (green/red dots) on the chart.
These remain active until invalidated by price action.
Bull & Bear Momentum (RSI-8 for Strong Reversals)
Bull M (Green Triangle): RSI (8) crosses above 72 with a strong bullish candle (>60% body).
Bear M (Red Triangle): RSI (8) crosses below 27 with a strong bearish candle (>60% body).
How to Use the Indicator
Buy Setup:
✅ Look for a green "Bull R" signal when:
RSI crosses above 25.
Price is above Supertrend & EMA 21.
Additional confirmation from bullish candle structure.
Sell Setup:
✅ Look for a red "Bear R" signal when:
RSI crosses below 75.
Price is below Supertrend & EMA 21.
Additional confirmation from bearish candle structure.
Observation Signals:
⚠️ "Obs Buy" (Orange Label) → Possible buy setup, but missing confirmation.
⚠️ "Obs Sell" (Orange Label) → Possible sell setup, but missing confirmation.
Momentum Reversal Markers (Strong Buy/Sell Signals)
🔺 "Bull M" (Green Triangle) → Strong bullish momentum shift detected.
🔻 "Bear M" (Red Triangle) → Strong bearish momentum shift detected.
Why This Indicator is Unique & Valuable
✔ Combines multiple indicators (RSI, Supertrend, EMA) with a structured approach.
✔ Avoids false signals by requiring confirmation from price action.
✔ Provides persistent support/resistance levels to track active trades.
✔ Visually clean and easy to use with minimal chart clutter.
This indicator is suitable for swing traders, intraday traders, and positional traders who want high-probability setups with clear trend direction.
Fourier Oscillator Suite [SeerQuant]| Fourier Oscillator Suite |
WHY THE FOURIER TRANSFORM?
The Discrete Fourier Transform (DFT) extracts dominant cyclical patterns from market price data. Fourier analysis allows for the decomposition of price movements into frequency components, distinguishing trend-driven behaviour from noise and identifying oscillatory cycles within the market. This approach is effective in detecting dominant cycles in data, filtering out random fluctuations, and providing insights into price behaviour beyond conventional indicators.
This indicator applies a Fourier transform to the selected price source, converting it into a frequency-based signal. Instead of directly working with raw price data, the transformed signal acts as a smoothed and cycle-adjusted input for multiple technical indicators, enhancing their ability to adapt to market conditions dynamically.
Once the Fourier transform is applied, the extracted signal is processed through a suite of technical indicators, which are then normalized and aggregated into a single, actionable metric.
FEATURES AND BENEFITS
✅ Multi-Factor Aggregation:
By blending volatility, momentum, and volume-based oscillators, this indicator provides a comprehensive view of market conditions.
✅ Enhanced Signal Clarity:
Fourier transformation filters noise, revealing more reliable trading signals.
✅ Adaptive Market Sensitivity:
Unlike static oscillators, the Fourier-enhanced input dynamically adjusts to price shifts.
INDICATOR COMPONENTS
The Fourier Oscillator Suite aggregates the output of the transformed signal into three primary market components:
1. Volatility-Based Metrics
Commodity Channel Index (CCI) – Measures price deviation from a moving average.
Bollinger Band %B (BB%) – Evaluates price positioning within the Bollinger Bands.
Relative Volatility Index (RVI) – Identifies periods of heightened or subdued volatility.
2. Momentum Indicators
Relative Strength Index (RSI) – Gauges trend momentum and overbought/oversold levels.
Coppock Curve – A long-term momentum oscillator, often used for detecting major trend shifts.
Momentum (MOM), TRIX, and Stochastic Momentum Index (SMI) – Further refine momentum analysis.
3. Volume-Based Oscillators
Money Flow Index (MFI) – Measures price strength relative to volume.
Volume Zone Oscillator (VZO) – Detects accumulation and distribution phases.
Elder's Force Index (EFI) & Klinger Volume Oscillator (KVO) – Assess money flow strength.
These individual metrics are first normalized within a defined period and then smoothed using the selected moving average type. The final composite signal is derived from a weighted combination of the volatility, momentum, and volume components, each of which can be customized by the user.
SETTINGS
The indicator includes an extensive set of options for users to tailor its performance:
📌 Fourier Transform Parameters
Source Selection – Choose which price input (e.g., HLC3) is used for Fourier analysis.
Fourier Period – Defines the number of cycles analyzed for signal extraction.
📌 Aggregation Settings
Normalization Period – Controls how indicator values are scaled.
Smoothing Length – Adjusts the sensitivity of moving averages applied to oscillators.
Weight Adjustments – Fine-tune the impact of volatility, momentum, and volume-based inputs on the final signal.
📌 White Noise Control
White Noise Amplitude & Period – Filters out excessive market noise to improve signal clarity.
Enable/Disable White Noise Overlay – Provides optional visualization of filtered noise levels.
📌 Custom Styling & Visual Enhancements
Selectable Color Schemes – Choose from Default, Modern, Cool, or Monochrome.
Bull & Bear Color Customization – Define custom colors for positive/negative momentum shifts.
Adaptive Gradient Fills – Highlights market conditions dynamically based on oscillator movements.
The Fourier Oscillator Suite is designed for advanced traders seeking a noise-reduced, multi-dimensional view of market dynamics. By incorporating Fourier-transformed signals into a broad range of oscillators, this tool offers a highly adaptive, filter-enhanced, and customizable approach to momentum and trend analysis. Whether you are a trend follower, mean reversion trader, or volume analyst, this suite provides actionable insights with enhanced clarity.
Smart Trend Tracker Name: Smart Trend Tracker
Description:
The Smart Trend Tracker indicator is designed to analyze market cycles and identify key trend reversal points. It automatically marks support and resistance levels based on price dynamics, helping traders better navigate market structure.
Application:
Trend Analysis: The indicator helps determine when a trend may be nearing a reversal, which is useful for making entry or exit decisions.
Support and Resistance Levels: Automatically marks key levels, simplifying chart analysis.
Reversal Signals: Provides visual signals for potential reversal points, which can be used for counter-trend trading strategies.
How It Works:
Candlestick Sequence Analysis: The indicator tracks the number of consecutive candles in one direction (up or down). If the price continues to move N bars in a row in one direction, the system records this as an impulse phase.
Trend Exhaustion Detection: After a series of directional bars, the market may reach an overbought or oversold point. If the price continues to move in the same direction but with weakening momentum, the indicator records a possible trend slowdown.
Chart Display: The indicator marks potential reversal points with numbers or special markers. It can also display support and resistance levels based on key cycle points.
Settings:
Cycle Length: The number of bars after which the possibility of a reversal is assessed.
Trend Sensitivity: A parameter that adjusts sensitivity to trend movements.
Dynamic Levels: Setting for displaying key levels.
Название: Smart Trend Tracker
Описание:
Индикатор Smart Trend Tracker предназначен для анализа рыночных циклов и выявления ключевых точек разворота тренда. Он автоматически размечает уровни поддержки и сопротивления, основываясь на динамике цены, что помогает трейдерам лучше ориентироваться в структуре рынка.
Применение:
Анализ трендов: Индикатор помогает определить моменты, когда тренд может быть близок к развороту, что полезно для принятия решений о входе или выходе из позиции.
Определение уровней поддержки и сопротивления: Автоматически размечает ключевые уровни, что упрощает анализ графика.
Сигналы разворота: Индикатор предоставляет визуальные сигналы о возможных точках разворота, что может быть использовано для стратегий, основанных на контртрендовой торговле.
Как работает:
Анализ последовательности свечей: Индикатор отслеживает количество последовательных свечей в одном направлении (вверх или вниз). Если цена продолжает движение N баров подряд в одном направлении, система фиксирует это как импульсную фазу.
Выявление истощения тренда: После серии направленных баров рынок может достичь точки перегрева. Если цена продолжает двигаться в том же направлении, но с ослаблением импульса, индикатор фиксирует возможное замедление тренда.
Отображение на графике: Индикатор отмечает точки потенциального разворота номерами или специальными маркерами. Также возможен вывод уровней поддержки и сопротивления, основанных на ключевых точках цикла.
Настройки:
Длина цикла (Cycle Length): Количество баров, после которых оценивается возможность разворота.
Фильтрация тренда (Trend Sensitivity): Параметр, регулирующий чувствительность к трендовым движениям.
Уровни поддержки/сопротивления (Dynamic Levels): Настройка для отображения ключевых уровней.
High-Impact News Events with ALERTHigh-Impact News Events with ALERT
This indicator is builds upon the original by adding alert capabilities, allowing traders to receive notifications before and after economic events to manage risk effectively.
This indicator is updated version of the Live Economic Calendar by @toodegrees ( ) which allows user to set alert for the news events.
Key Features
Customizable Alert Selection: Users can choose which impact levels to restrict (High, Medium, Low).
User-Defined Restriction Timing: Set alerts to X minutes before or after the event.
Real-Time Economic Event Detection: Fetches live news data from Forex Factory.
Multi-Event Support: Detects and processes multiple news events dynamically.
Automatic Trading Restriction: user can use this script to stop trades in news events.
Visual Markers:
Vertical dashed lines indicate the start and end of restriction periods.
Background color changes during restricted trading times.
Alerts notify traders during the news events.
How It Works
The user selects which news impact levels should restrict trading.
The script retrieves real-time economic event data from Forex Factory.
Trading can be restricted for X minutes before and after each event.
The script highlights restricted periods with a background color.
Alerts notify traders all time during the news events is active as per the defined time to prevent unexpected volatility exposure.
Customization Options
Choose which news impact levels (High, Medium, Low) should trigger trading restrictions.
Define time limits before and after each news event for restriction.
Enable or disable alerts for restricted trading periods.
How to Use
Apply the indicator to any TradingView chart.
Configure the news event impact levels you want to restrict.
Set the pre- and post-event restriction durations as needed.
The indicator will automatically apply restrictions, plot visual markers, and trigger alerts accordingly.
Limitations
This script relies on Forex Factory data and may have occasional update delays.
TradingView does not support external API connections, so data is updated through internal methods.
The indicator does not execute trades automatically; it only provides visual alerts and restriction signals.
Reference & Credit
This script is based on the Live Economic Calendar by @toodegrees ( ), adding enhanced pre- and post-event alerting capabilities to help traders prepare for market-moving news.
Disclaimer
This script is for informational purposes only and does not constitute financial advice. Users should verify economic data independently and exercise caution when trading around news events. Past performance is not indicative of future results.
Retrograde Periods (Multi-Planet)**Retrograde Periods (Multi-Planet) Indicator**
This TradingView script overlays your chart with a dynamic visualization of planetary retrograde periods. Built in Pine Script v6, it computes and displays the retrograde status of eight planets—Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto—using hard-coded retrograde intervals from 2009 to 2026.
**Key Features:**
- Dynamic Background Coloring:
The indicator changes the chart’s background color based on the current retrograde status of the planets. The colors follow a priority order (Mercury > Venus > Mars > Jupiter > Saturn > Uranus > Neptune > Pluto) so that if multiple planets are retrograde simultaneously, the highest-priority planet’s color is displayed.
- Interactive Planet Selection:
User-friendly checkboxes allow you to choose which planets to list in the table’s “Selected” row. Note that while these checkboxes control the display of the planet names in the table, the retrograde calculations remain independent of these selections.
- Real-Time Retrograde Status Table:
A table in the top-right corner displays each planet’s retrograde status in real time. “Yes” is shown in red for a planet in retrograde and “No” in green when it isn’t. This offers an at-a-glance view of the cosmic conditions influencing your charts.
- Astrological & Astronomical Insights:
Whether you’re into sidereal astrology or simply fascinated by celestial mechanics, this script lets you visualize those retrograde cycles. In astrology, retrograde periods are often seen as times for reflection and re-evaluation, while in astronomy they reflect the natural orbital motions seen from our perspective on Earth.
Enhance your trading setup by integrating cosmic cycles into your technical analysis. Happy trading and cosmic exploring!
52-Week & 5-Year High/Low with DatesThis indicator is designed to help traders quickly identify key price levels and their historical context by displaying the 52-week high/low and 5-year high/low prices along with their respective dates. It provides a clear visual representation of these levels directly on the chart and in a dashboard table for easy reference.
Key Features
52-Week High/Low:
Displays the highest and lowest prices over the last 252 trading days (approximately 52 weeks).
Includes the exact date when these levels were reached.
5-Year High/Low:
Displays the highest and lowest prices over the last 1260 trading days (approximately 5 years).
Includes the exact date when these levels were reached.
Visual Labels:
High and low levels are marked on the chart with labels that include the price and date.
Dashboard Table:
A table in the top-right corner of the chart summarizes the 52-week and 5-year high/low prices and their dates for quick reference.
Customizable Date Format:
Dates are displayed in the YYYY-MM-DD format for clarity and consistency.