TEMA OBOS Strategy 【Pakun】📌 Overview
The TEMA + OBOS Strategy is an advanced trading strategy that combines the Triple Exponential Moving Average (TEMA) for trend-following and the Overbought/Oversold (OBOS) indicator for trade filtering.
This strategy leverages TEMA crossovers to identify trends and applies OBOS as a filter to improve entry precision.
💡 Main Objectives
Clearly determine trend direction (using TEMA)
Filter out overbought and oversold conditions (using OBOS)
Implement dynamic risk management (using ATR-based TP/SL)
This strategy is suitable for a wide range of markets, including Forex, stocks, and cryptocurrencies, and is best applied on mid-timeframes such as 15-minute to 1-hour charts.
📌 Key Features
🔹 Trend Analysis with TEMA (Triple EMA)
Generates entry signals based on ema3 and ema4 crossovers
Uses ema4 as the primary trend filter
🔹 Entry Optimization with OBOS (Overbought/Oversold Indicator)
up > down → Buy entry, up < down → Sell entry
Filters out excessive buying and selling conditions to improve accuracy
🔹 Take Profit & Stop Loss Based on ATR
ATR (Average True Range) multiplier is adjustable
Fully customizable TP/SL settings (default: TP = ATR × 2, SL = ATR × 1.5)
🔹 Customizable Parameters
TEMA Length (TEMA calculation period)
OBOS Length (OBOS calculation period)
Take Profit Multiplier (TP ratio)
Stop Loss Multiplier (SL ratio)
Show EMA? (Enable/disable TEMA lines)
Barcolor? (Enable/disable candlestick coloring)
📌 Trading Parameters
This strategy follows these trading rules:
✅ Long Entry (Buy)
ema3 crosses above ema4 (Golden Cross)
OBOS indicator confirms up > down (uptrend confirmation)
A long position is executed
✅ Short Entry (Sell)
ema3 crosses below ema4 (Death Cross)
OBOS indicator confirms up < down (downtrend confirmation)
A short position is executed
✅ Take Profit (TP)
Profit is taken when the price reaches Entry Price + ATR × TP multiplier (default: 2.0)
✅ Stop Loss (SL)
Loss is cut when the price reaches Entry Price - ATR × SL multiplier (default: 1.5)
📌 TP/SL values are fully customizable, allowing traders to fine-tune risk management.
📌 Risk Management Parameters
This strategy emphasizes flexible position sizing and risk control:
💰 Account Size: $7000
📉 Commissions & Slippage: Assumes 0-94 pips commission and 1 pip slippage
⚖️ Order Size: 10% of equity (adjustable as needed)
These settings help balance risk and reward while protecting capital.
📌 Visual Aids for Clarity
This strategy provides clear visual cues on the chart:
📊 TEMA Lines (3 EMA Levels)
Color change (Blue/Orange) indicates trend direction
ema3 (short-term) and ema4 (long-term) crossover signals
📉 OBOS Histogram
Green → Bullish pressure
Red → Bearish pressure
Blue → Potential trend shift
🔹 Entry & Exit Markers
🔼 Long Entry (Blue arrow)
🔽 Short Entry (Red arrow)
✅ Take Profit / Stop Loss Levels
📌 Originality & Enhancements
This strategy is based on the indicators " l_lonthoff " and " jdmonto0 ", with several improvements and enhancements.
While utilizing the core concepts of these indicators, we have optimized entry accuracy, improved visual clarity, and enhanced risk management features.
📌 Improvements & Upgrades
✅ Enhanced Trend Identification with TEMA (Triple EMA)
Uses ema3 (short-term) and ema4 (long-term) to detect trend shifts earlier
Reduces false signals and enables better trend-following trades
✅ Improved Filtering with OBOS (Overbought/Oversold Indicator)
Inspired by "jdmonto0", this feature filters overbought/oversold conditions for smarter trade entries
Reduces unnecessary trades and minimizes risk exposure
✅ Dynamic Risk Management with ATR (Average True Range)
Uses volatility-adjusted TP/SL levels instead of fixed values
Fully customizable ATR-based TP/SL multipliers (Default: TP = ATR × 2, SL = ATR × 1.5)
✅ Visual Enhancements for Clarity
TEMA lines change color dynamically to indicate trend direction
OBOS histogram provides an intuitive view of buying and selling pressure
Entry & exit markers make trades easy to track on the chart
📌 Summary
📌 TEMA + OBOS Strategy combines trend analysis and oscillators to create a powerful yet simple trading system:
Identifies trend direction using TEMA (Triple EMA)
Filters out noise and overbought/oversold conditions using OBOS
Applies ATR-based TP/SL settings for dynamic risk management
💡 Recommended for:
✅ Traders who prefer trend-following strategies
✅ Those who want a systematic, rules-based trading approach
✅ Users looking for a customizable strategy with strong risk management
📌 Try it out and backtest the results! 🚀
💡 How to Upload to TradingView
Paste this description in the Pine Script editor's "Strategy Description" field
Save and publish the script
Ensure that the "Description" field is filled with this content
Share it with the TradingView community!
📌 This strategy provides a structured, risk-managed approach to trading. Try it out and see how it performs! 🔥
Indikator Momentum (MOM)
Squeeze Momentum Indicator with Entry Tactics### **Squeeze Momentum Indicator with Stacked EMAs**
#### **Description:**
This indicator is an enhanced version of the **Squeeze Momentum Indicator** (originally by John Carter and later modified by LazyBear). It identifies **periods of consolidation (squeeze)** and signals potential **explosive price moves** when momentum shifts. The added **stacked EMA concept** further refines entry signals by confirming trend strength. This is also an update to version 6 of PineScript
#### **How to Use:**
The indicator provides **three different entry tactics**, allowing traders to choose signals based on their strategy:
1. **Inside Day Pattern** – Detects inside candles, which indicate potential breakouts when volatility contracts.
2. **Consecutive Black Crosses (Squeeze Signal)** – A certain number of black crosses (low volatility periods) suggests a strong move is coming.
3. **Stacked EMA Concept** – When the **8 EMA > 21 EMA > 34 EMA**, combined with a momentum shift from negative to positive, it signals a **high-probability bullish entry**.
#### **Visual Cues:**
- **Histogram Bars**: Show momentum (green for increasing bullish, red for increasing bearish).
- **Black & Gray Dots**: Represent different squeeze states (low volatility vs. breakout conditions).
- **🔥 Bullish Label**: Appears when the stacked EMAs align and momentum shifts from negative to positive.
#### **Best Practices:**
- Look for **momentum shifts during a squeeze** for high-probability trades.
- Use **stacked EMAs as trend confirmation** before entering.
- Combine with **price action and volume analysis** for additional confluence.
This indicator helps traders **anticipate major price moves** rather than react, making it a powerful tool for trend-following and breakout strategies. 🚀
ZenAlgo - QZenAlgo - Q
Description
ZenAlgo - Q is an oscillator based on the QQE (Quantitative Qualitative Estimation) method. This version incorporates refinements for additional visualization and interpretation options. It is designed to help traders observe momentum changes and divergence patterns in price movements.
Key Features
QQE-Based Calculation : Derived from the open-source QQE script by Glaz (Metastock Version of QQE), with modifications for alternative visualization.
Dual RSI-Based Analysis : Uses two RSI calculations to provide additional context on price movements.
Adaptive Trend Bands : Adjust dynamically based on the market conditions.
Divergence Identification : Highlights potential differences between price action and oscillator movement.
Dynamic Color Coding : Displays histogram bars to illustrate shifts in oscillator values.
Configurable Alerts : Enables notifications for specific oscillator conditions.
How It Works
The indicator calculates a smoothed RSI-based oscillator that tracks the relative strength of price movement. It applies an exponential moving average (EMA) smoothing to reduce noise while maintaining responsiveness.
Two adaptive bands are calculated using a variation of the QQE method, which helps define dynamic overbought and oversold conditions.
The histogram bars shift in color based on the position of the oscillator relative to the bands. Lighter shades indicate weaker momentum, while stronger momentum is represented by more saturated colors.
The script also includes a secondary RSI component, which provides an additional layer of analysis. This secondary RSI helps refine momentum trends by smoothing out short-term fluctuations.
Divergence identification is built-in, highlighting where price action deviates from oscillator readings. Bullish divergence occurs when price forms a lower low while the oscillator forms a higher low, and bearish divergence is identified when price forms a higher high while the oscillator forms a lower high.
The indicator does not generate buy or sell signals but instead provides contextual information that can be used alongside other trading strategies.
Use Cases
Trend Observation : Traders can use the histogram to observe whether momentum is strengthening or weakening over time. A shift in color can indicate a potential change in trend strength.
Divergence Analysis : By comparing oscillator divergence with price movement, traders can identify situations where price action may be losing momentum. Divergences do not guarantee reversals but can serve as an early warning to re-evaluate positions.
Momentum Tracking : The dual RSI structure allows users to monitor both short-term and long-term momentum. When both RSI components are aligned, it suggests a more stable trend, while divergence between them may indicate potential consolidation or trend shifts.
Supplementary Analysis : This indicator is best used as a supporting tool alongside volume-based or trend-following indicators. It helps visualize underlying price behavior but should not be used in isolation for decision-making.
Market Context Interpretation : The combination of adaptive bands and histogram visualization allows traders to assess how recent price action compares to historical movement, helping to place current conditions in a broader market context.
Attribution
This script is an adaptation of the open-source QQE script originally developed by Glaz. We acknowledge and appreciate the original author's work, which served as a foundation for our modifications.
Disclaimer
This indicator is intended for informational purposes only. It should not be interpreted as financial advice. Always conduct independent research and risk management before making trading decisions.
SUPER Indicator
SUPER Indicator Breakdown
SUPER Indicator combines multiple trend and momentum indicators to generate buy/sell signals, trend zones, stop-loss suggestions, and volume confirmations. Here’s how it works:
1️⃣ Core Components
The script is designed for trend-following and breakout strategies, utilizing:
• Moving Averages:
• Fast EMA (9) → Captures short-term trends.
• Slow EMA (21) → Identifies broader trends.
• VWAP → Acts as an institutional price benchmark.
• Momentum Indicators:
• MACD Line → Difference between the 12 EMA & 26 EMA (trend momentum).
• RSI (14) → Identifies overbought (>50) or oversold (<50) conditions.
• Volume Analysis:
• Uses Simple Moving Average (SMA) on volume to confirm breakout moves.
2️⃣ Buy & Sell Conditions
The indicator generates buy and sell signals based on:
✅ Buy Condition (Bullish Setup)
• Fast EMA crosses above Slow EMA.
• MACD Line is positive (uptrend momentum).
• RSI is above 50 (bullish sentiment).
❌ Sell Condition (Bearish Setup)
• Fast EMA crosses below Slow EMA.
• MACD Line is negative (downtrend momentum).
• RSI is below 50 (bearish sentiment).
Visualization:
• Green Buy Markers → Appear above candles.
• Red Sell Markers → Appear below candles.
3️⃣ Stop-Loss & Target Levels
To help manage trades, the script automatically calculates ATR-based stop-loss levels:
• Long Stop → Close - (ATR * ATR Multiplier)
• Short Stop → Close + (ATR * ATR Multiplier)
• Profit Target → Close + (ATR * ATR Multiplier * 1.5)
ATR helps adjust stops dynamically based on market volatility.
Visualization:
• Gray Lines → ATR-based stop-losses.
• Green Line → Suggested profit target.
4️⃣ Trend Strength Zones
The script highlights background colors to indicate trend strength:
• Green Zone → Strong uptrend.
• Red Zone → Strong downtrend.
• No Highlight → Neutral market conditions.
5️⃣ Volume Confirmation
The script confirms validity of buy/sell signals using volume:
• Bar Color Turns Green → If trend is bullish & volume > 20 SMA.
• Bar Color Turns Red → If trend is bearish & volume > 20 SMA.
This ensures higher-probability signals by confirming breakout volume.
✅ Pros:
• Dynamic trend detection and momentum filtering.
• ATR-based risk management (adaptive stops/targets).
• Uses volume confirmation to avoid false breakouts.
• Simple yet powerful → Works for day & swing trading.
TradFi Fundamentals: Momentum Trading with Macroeconomic DataIntroduction
This indicator combines traditional price momentum with key macroeconomic data. By retrieving GDP, inflation, unemployment, and interest rates using security calls, the script automatically adapts to the latest economic data. The goal is to blend technical analysis with fundamental insights to generate a more robust momentum signal.
Original Research Paper by Mohit Apte, B. Tech Scholar, Department of Computer Science and Engineering, COEP Technological University, Pune, India
Link to paper
Explanation
Price Momentum Calculation:
The indicator computes price momentum as the percentage change in price over a configurable lookback period (default is 50 days). This raw momentum is then normalized using a rolling simple moving average and standard deviation over a defined period (default 200 days) to ensure comparability with the economic indicators.
Fetching and Normalizing Economic Data:
Instead of manually inputting economic values, the script uses TradingView’s security function to retrieve:
GDP from ticker "GDP"
Inflation (CPI) from ticker "USCCPI"
Unemployment rate from ticker "UNRATE"
Interest rates from ticker "USINTR"
Each series is normalized over a configurable normalization period (default 200 days) by subtracting its moving average and dividing by its standard deviation. This standardization converts each economic indicator into a z-score for direct integration into the momentum score.
Combined Momentum Score:
The normalized price momentum and economic indicators are each multiplied by user-defined weights (default: 50% price momentum, 20% GDP, and 10% each for inflation, unemployment, and interest rates). The weighted components are then summed to form a comprehensive momentum score. A horizontal zero line is plotted for reference.
Trading Signals:
Buy signals are generated when the combined momentum score crosses above zero, and sell signals occur when it crosses below zero. Visual markers are added to the chart to assist with trade timing, and alert conditions are provided for automated notifications.
Settings
Price Momentum Lookback: Defines the period (in days) used to compute the raw price momentum.
Normalization Period for Price Momentum: Sets the window over which the price momentum is normalized.
Normalization Period for Economic Data: Sets the window over which each macroeconomic series is normalized.
Weights: Adjust the influence of each component (price momentum, GDP, inflation, unemployment, and interest rate) on the overall momentum score.
Conclusion
This implementation leverages TradingView’s economic data feeds to integrate real-time macroeconomic data into a momentum trading strategy. By normalizing and weighting both technical and economic inputs, the indicator offers traders a more holistic view of market conditions. The enhanced momentum signal provides additional context to traditional momentum analysis, potentially leading to more informed trading decisions and improved risk management.
The next script I release will be an improved version of this that I have added my own flavor to, improving the signals.
Advanced Averaged Momentum Indicator (AAMI)Key Features of AAMI:
Combination of Momentum Indicators: It averages normalized values from RSI, MACD histogram, raw Momentum, and Stochastic oscillator to give a comprehensive view of momentum.
Normalization: Each component is normalized to a scale from -1 to 1 to ensure they contribute equally to the AMI calculation.
Visual Cues: The indicator includes visual levels for neutral, overbought, and oversold conditions to aid in quick decision-making.
Alerts: Basic alert conditions are included for when AMI moves into overbought or oversold territory, which traders can customize further.
Customizable: All parameters can be adjusted within TradingView to tailor the indicator to different market conditions or trading strategies.
Smoothing: Included an SMA for AMI to reduce noise and give smoother signals.
Divergence Detection: Implemented a basic divergence detection mechanism to spot potential reversals.
Usage Tips:
Overbought/Oversold: When AMI goes above 0.7, it might suggest an overbought condition, potentially signaling a sell or take profit. Below -0.7 might indicate oversold conditions, suggesting a buy opportunity.
Divergence: Watch for divergences between the AMI and price action for signals of potential trend reversals.
Crossing Zero: The AMI crossing from negative to positive might be used as a buy signal, and vice versa for a sell signal.
This script provides a new way to view momentum by consolidating multiple traditional indicators into one, potentially offering clearer signals in complex market environments.
SatoshiSteps Swing StrategyCore Components:
The indicator combines three popular technical analysis tools:
Ichimoku Cloud: This helps identify the trend, support, and resistance levels.
RSI (Relative Strength Index): This momentum oscillator identifies overbought and oversold conditions.
MACD (Moving Average Convergence Divergence): This trend-following momentum indicator shows the relationship between two moving averages1 of prices.
Logic:
The strategy aims to identify potential swing trading opportunities by combining signals from these three components. It essentially looks for:
Trend Confirmation (Ichimoku):
Price should be above the Ichimoku cloud for buy signals.
Price should be below the Ichimoku cloud for sell signals.
The Tenkan-sen (conversion line) should cross above the Kijun-sen (base line) for buy signals.
The Tenkan-sen should cross below the Kijun-sen for sell signals.
Overbought/Oversold Conditions (RSI):
RSI should be below the overbought level for buy signals (avoiding buying when the market is potentially overextended).
RSI should be above the oversold level for sell signals (avoiding selling when the market is potentially oversold).
Momentum Confirmation (MACD):
The MACD line should be above the signal line for buy signals (indicating upward momentum).
The MACD line should be below the signal line for sell signals (indicating downward momentum).
Buy Signal:
A buy signal is generated when all the following conditions are met:
The Tenkan-sen crosses above the Kijun-sen.
The price is above both the Senkou Span A and Senkou Span B (the cloud).
The RSI is below the overbought level.
The MACD line is above the signal line.
Sell Signal:
A sell signal is generated when all the following conditions are met:
The Tenkan-sen crosses below the Kijun-sen.
The price is below both the Senkou Span A and Senkou Span B (the cloud).
The RSI is above the oversold level.
The MACD line is below the signal line.
Key Considerations:
Time Frame: The indicator has built-in adjustments for 1-hour and 4-hour timeframes, optimizing the parameters for each.
Customization: You can customize the overbought/oversold RSI levels and the styles of the buy/sell signals (triangle, label, arrow, circle) through the indicator's settings.
Accuracy: While the strategy combines multiple indicators to improve accuracy, remember that no trading indicator is perfect. Market conditions can change rapidly, and false signals can occur.
Risk Management: Always use proper risk management techniques, such as stop-loss orders, and never risk more than you can afford to lose.
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
Liquidity Heatmap & Volume-Weighted RSILiquidity Heatmap Indicator with Volume-Weighted RSI
Description:
The Liquidity Heatmap Indicator with Volume-Weighted RSI (VW-RSI) is a powerful tool designed for traders to visualize market liquidity zones while integrating a volume-adjusted momentum oscillator. This indicator provides a dynamic heatmap of liquidity levels across various price points and enhances traditional RSI by incorporating volume weight, making it more responsive to market activity.
Key Features:
Liquidity Heatmap Visualization: Identifies high-liquidity price zones, allowing traders to spot potential areas of support, resistance, and accumulation.
Volume-Weighted RSI (VW-RSI): Enhances the RSI by factoring in trading volume, reducing false signals and improving trend confirmation.
Customizable Sensitivity: Users can adjust parameters to fine-tune heatmap intensity and RSI smoothing.
Dynamic Market Insights: Helps identify potential price reversals and trend strength by combining liquidity depth with momentum analysis.
How to Use:
1. Identify Liquidity Zones: The heatmap colors indicate areas of high and low liquidity, helping traders pinpoint key price action areas.
2. Use VW-RSI for Confirmation: When VW-RSI diverges from price near a liquidity cluster, it signals a potential reversal or continuation.
3. Adjust Parameters: Fine-tune the RSI period, volume weighting, and heatmap sensitivity to align with different trading strategies.
This indicator is ideal for traders who rely on order flow analysis, volume-based momentum strategies, and liquidity-driven trading techniques.
TVMC - Composite Indicator with Technical RatingsDescription:
The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making.
Key Features:
1. Trend Component (TC):
* Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend.
* The MACD signal is normalized to a range of -1 to +1 for consistency and clarity.
2. Momentum Component (MC):
* Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements.
* This component highlights overbought or oversold conditions, which may indicate potential market reversals.
3. Volume Confirmation (VC):
* Compares the current trading volume to its moving average over a specified period.
* High volume relative to the average confirms the validity of the current trend.
4. Volatility Filter (VF):
* Uses ATR (Average True Range) to gauge market volatility.
* Adjusts and smooths signals to reduce noise during periods of high volatility.
5. Technical Ratings Integration:
* Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both.
* Users can choose their preferred source of ratings for enhanced signal confirmation.
How It Works:
The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role:
* Trend: Identifies whether the market is bullish, bearish, or neutral.
* Momentum: Highlights the strength of price action.
* Volume: Confirms whether the current price action is supported by sufficient trading activity.
* Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output.
Visualization:
1. Bullish Signals:
* The indicator line turns green and remains above the zero line, indicating upward momentum.
2. Bearish Signals:
* The indicator line turns red and falls below the zero line, signaling downward momentum.
3. Neutral Signals:
* The line is orange and stays near zero, indicating a lack of strong trend or momentum.
4. Zones:
* Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively.
* A zero line is included for clear separation between bullish and bearish signals.
Recommended Usage:
* Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts.
* Trading Style: Suitable for swing and positional trading.
* Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences.
Customization Options:
* Adjustable weights for Trend, Momentum, and Volume components.
* Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods.
* Timeframe selection for multi-timeframe analysis.
Important Notes:
1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators.
2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code.
3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools.
Compliance with TradingView Rules:
* The indicator is written in Pine Script version 5, adhering to TradingView’s language standards.
* The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality.
* No promotional content, links, or unrelated references are included.
* The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
Uptrick Signal Density Cloud🟪 Introduction
The Uptrick Signal Density Cloud is designed to track market direction and highlight potential reversals or shifts in momentum. It plots two smoothed lines on the chart and fills the space between them (often called a “cloud”). The bars on the chart change color depending on bullish or bearish conditions, and small triangles appear when certain reversal criteria are met. A metrics table displays real-time values for easy reference.
🟩 Why These Features Have Been Linked Together
1) Dual-Line Structure
Two separate lines represent shorter- and longer-term market tendencies. Linking them in one tool allows traders to view both near-term changes and the broader directional bias in a single glance.
2) Smoothed Averages
The script offers multiple smoothing methods—exponential, simple, hull, and an optimized approach—to reduce noise. Using more than one type of moving average can help balance responsiveness with stability.
3) Density Cloud Concept
Shading the region between the two lines highlights the gap or “thickness.” A wider gap typically signals stronger momentum, while a narrower gap could indicate a weakening trend or potential market indecision. When the cloud is too wide and crosses a certain threshold defined by the user, it indicates a possible reversal. When the cloud is too narrow it may indicate a potential breakout.
🟪 Why Use This Indicator
• Trend Visibility: The color-coded lines and bars make it easier to distinguish bullish from bearish conditions.
• Momentum Tracking: Thicker cloud regions suggest stronger separation between the faster and slower lines, potentially indicating robust momentum.
• Possible Reversal Alerts: Small triangles appear within thick zones when the indicator detects a crossover, drawing attention to key moments of potential trend change.
• Quick Reference Table: A metrics table shows line values, bullish or bearish status, and cloud thickness without needing to hover over chart elements.
🟩 Inputs
1) First Smoothing Length (length1)
Default: 14
Defines the lookback period for the faster line. Lower values make the line respond more quickly to price changes.
2) Second Smoothing Length (length2)
Default: 28
Defines the lookback period for the slower line or one of the moving averages in optimized mode. It generally responds more slowly than the faster line.
3) Extra Smoothing Length (extraLength)
Default: 50
A medium-term period commonly seen in technical analysis. In optimized mode, it helps add broader perspective to the combined lines.
4) Source (source)
Default: close
Specifies the price data (for example, open, high, low, or a custom source) used in the calculations.
5) Cloud Type (cloudType)
Options: Optimized, EMA, SMA, HMA
Determines the smoothing method used for the lines. “Optimized” blends multiple exponential averages at different lengths.
6) Cloud Thickness Threshold (thicknessThreshold)
Default: 0.5
Sets the minimum separation between the two lines to qualify as a “thick” zone, indicating potentially stronger momentum.
🟪 Core Components
1) Faster and Slower Lines
Each line is smoothed according to user preferences or the optimized technique. The faster line typically reacts more quickly, while the slower line provides a broader overview.
2) Filled Density Cloud
The space between the two lines is filled to visualize in which direction the market is trending.
3) Color-Coded Bars
Price bars adopt bullish or bearish colors based on which line is on top, providing an immediate sense of trend direction.
4) Reversal Triangles
When the cloud is thick (exceeding the threshold) and the lines cross in the opposite direction, small triangles appear, signaling a possible market shift.
5) Metrics Table
A compact table shows the current values of both lines, their bullish/bearish statuses, the cloud thickness, and whether the cloud is in a “reversal zone.”
🟩 Calculation Process
1) Raw Averages
Depending on the mode, standard exponential, simple, hull, or “optimized” exponential blends are calculated.
2) Optimized Averages (if selected)
The faster line is the average of three exponential moving averages using length1, length2, and extraLength.
The slower line similarly uses those same lengths multiplied by 1.5, then averages them together for broader smoothing.
3) Difference and Threshold
The absolute gap between the two lines is measured. When it exceeds thicknessThreshold, the cloud is considered thick.
4) Bullish or Bearish Determination
If sma1 (the faster line) is above sma2 (the slower line), conditions are deemed bullish; otherwise, they are bearish. This distinction is reflected in both bar colors and cloud shading.
5) Reversal Markers
In thick zones, a crossover triggers a triangle at the point of potential reversal, alerting traders to a possible trend change.
🟪 Smoothing Methods
1) Exponential (EMA)
Prioritizes recent data for quicker responsiveness.
2) Simple (SMA)
Takes a straightforward average of the chosen period, smoothing price action but often lagging more in volatile markets.
3) Hull (HMA)
Employs a specialized formula to reduce lag while maintaining smoothness.
4) Optimized (Blended Exponential)
Combines multiple EMA calculations to strike a balance between responsiveness and noise reduction.
🟩 Cloud Logic and Reversal Zones
Cloud thickness above the defined threshold typically signals exceeding momentum and can lead to a quick reversal. During these thick periods, if the width exceeds the defined threshold, small triangles mark potential reversal points. In order for the reversal shape to show, the color of the cloud has to be the opposite. So, for example, if the cloud is bearish, and exceeds momentum, defined by the user, a bullish signal appears. The opposite conditions for a bullish signal. This approach can help traders focus on notable changes rather than minor oscillations.
🟪 Bar Coloring and Layered Lines
Bars take on bullish or bearish tints, matching the faster line’s position relative to the slower line. The lines themselves are plotted multiple times with varying opacities, creating a layered, glowing look that enhances visibility without affecting calculations.
🟩 The Metrics Table
Located in the top-right corner of the chart, this table displays:
• SMA1 and SMA2 current values.
• Bullish or bearish alignment for each line.
• Cloud thickness.
• Reversal zone status (in or out of zone).
This numeric readout allows for a quick data check without hovering over the chart.
🟪 Why These Specific Moving Average Lengths Are Used
Default lengths of 14, 28, and 50 are common in technical analysis. Fourteen captures near-term price movement without overreacting. Twenty-eight, roughly double 14, provides a moderate smoothing level. Fifty is widely regarded as a medium-term benchmark. Multiplying each length by 1.5 for the slower line enhances separation when combined with the faster line.
🟩 Originality and Usefulness
• Multi-Layered Smoothing. The user can select from several moving average modes, including a unique “optimized” blend, possibly reducing random fluctuations in the market data.
• Combined Visual and Numeric Clarity. Bars, clouds, and a real-time table merge into a single interface, enabling efficient trend analysis.
• Focus on Significant Shifts. Thick cloud zones and triangles draw attention to potentially stronger momentum changes and plausible reversals.
• Flexible Across Markets. The adjustable lengths and threshold can be tuned to different asset classes (stocks, forex, commodities, crypto) and timeframes.
By integrating multiple technical concepts—cloud-based trend detection, color coding, reversal markers, and an immediate reference table—the Uptrick Signal Density Cloud aims to streamline chart reading and decision-making.
🟪 Additional Considerations
• Timeframes. Intraday, daily, and weekly charts each yield different signals. Adjust the smoothing lengths and threshold to suit specific trading horizons.
• Market Types. Though applicable across asset classes, parameters might need tweaking to address the volatility of commodities, forex pairs, or cryptocurrencies.
• Confirmation Tools. Pairing this indicator with volume studies or support/resistance analysis can improve the reliability of signals.
• Potential Limitations. No indicator is foolproof; sudden market shifts or choppy conditions may reduce accuracy. Cautious position sizing and risk management remain essential.
🟩 Disclaimers
The Uptrick Signal Density Cloud relies on historical price data and may lag sudden moves or provide false positives in ranging conditions. Always combine it with other analytical techniques and sound risk management. This script is offered for educational purposes only and should not be considered financial advice.
🟪 Conclusion
The Uptrick Signal Density Cloud blends trend identification, momentum assessment, and potential reversal alerts in a single, user-friendly tool. With customizable smoothing methods and a focus on cloud thickness, it visually highlights important market conditions. While it cannot guarantee predictive accuracy, it can serve as a comprehensive reference for traders seeking both a quick snapshot of the current trend and deeper insights into market dynamics.
Dominance: USDT + USDCThis script combines the dominance of USDT and USDC, the two largest stablecoins in the market, to provide a clear and accurate view of their impact on the total cryptocurrency market cap.
Key Features:
- Individual Dominance: Displays the percentage dominance of USDT and USDC separately.
- Combined Dominance: Shows a line combining the dominance of both stablecoins to understand their total market influence.
- Real-Time Accuracy: Updates values based on the latest TradingView data.
- Visual Clarity: Unique colors for each line for easy interpretation:
- Blue: USDT Dominance.
- Green: USDC Dominance.
- Red: Total Combined Dominance.
Benefits:
- Strategic Analysis: Evaluate how stablecoins influence capital flow in the crypto market.
- Identify Trends: Understand growth or decline in dominance to detect market direction changes.
- Informed Decisions: Ideal for traders analyzing the relationship between stablecoins and overall market movements.
How to Use:
- Add the script to your chart and monitor the dominance lines.
- Use the insights to support your trading strategy.
Note: This script does not provide buy or sell signals. It is intended for informational and analytical purposes.
Uptrick: Fisher Eclipse1. Name and Purpose
Uptrick: Fisher Eclipse is a Pine version 6 extension of the basic Fisher Transform indicator that focuses on highlighting potential turning points in price data. Its purpose is to allow traders to spot shifts in momentum, detect divergence, and adapt signals to different market environments. By combining a core Fisher Transform with additional signal processing, divergence detection, and customizable aggressiveness settings, this script aims to help users see when a price move might be losing momentum or gaining strength.
2. Overview
This script uses a Fisher Transform calculation on the average of each bar’s high and low (hl2). The Fisher Transform is designed to amplify price extremes by mapping data into a different scale, making potential reversals more visible than they might be with standard oscillators. Uptrick: Fisher Eclipse takes this concept further by integrating a signal line, divergence detection, bar coloring for momentum intensity, and optional thresholds to reduce unwanted noise.
3. Why Use the Fisher Transform
The Fisher Transform is known for converting relatively smoothed price data into a more pronounced scale. This transformation highlights where markets may be overextended. In many cases, standard oscillators move gently, and traders can miss subtle hints that a reversal might be approaching. The Fisher Transform’s mathematical approach tightens the range of values and sharpens the highs and lows. This behavior can allow traders to see clearer peaks and troughs in momentum. Because it is often quite responsive, it can help anticipate areas where price might change direction, especially when compared to simpler moving averages or traditional oscillators. The result is a more evident signal of possible overbought or oversold conditions.
4. How This Extension Improves on the Basic Fisher Transform
Uptrick: Fisher Eclipse adds multiple features to the classic Fisher framework in order to address different trading styles and market behaviors:
a) Divergence Detection
The script can detect bullish or bearish divergences between price and the oscillator over a chosen lookback period, helping traders anticipate shifts in market direction.
b) Bar Coloring
When momentum exceeds a certain threshold (default 3), bars can be colored to highlight surges of buying or selling pressure. This quick visual reference can assist in spotting periods of heightened activity. After a bar color like this, usually, there is a quick correction as seen in the image below.
c) Signal Aggressiveness Levels
Users can choose between conservative, moderate, or aggressive signal thresholds. This allows them to tune how quickly the indicator flags potential entries or exits. Aggressive settings might suit scalpers who need rapid signals, while conservative settings may benefit swing traders preferring fewer, more robust indications.
d) Minimum Movement Filter
A configurable filter can be set to ensure that the Fisher line and its signal have a sufficient gap before triggering a buy or sell signal. This step is useful for traders seeking to minimize signals during choppy or sideways markets. This can be used to eliminate noise as well.
By combining all these elements into one package, the indicator attempts to offer a comprehensive toolkit for those who appreciate the Fisher Transform’s clarity but also desire more versatility.
5. Core Components
a) Fisher Transform
The script calculates a Fisher value using normalized price over a configurable length, highlighting potential peaks and troughs.
b) Signal Line
The Fisher line is smoothed using a short Simple Moving Average. Crossovers and crossunders are one of the key ways this indicator attempts to confirm momentum shifts.
c) Divergence Logic
The script looks back over a set number of bars to compare current highs and lows of both price and the Fisher oscillator. When price and the oscillator move in opposing directions, a divergence may occur, suggesting a possible upcoming reversal or weakening trend.
d) Thresholds for Overbought and Oversold
Horizontal lines are drawn at user-chosen overbought and oversold levels. These lines help traders see when momentum readings reach particular extremes, which can be especially relevant when combined with crossovers in that region.
e) Intensity Filter and Bar Coloring
If the magnitude of the change in the Fisher Transform meets or exceeds a specified threshold, bars are recolored. This provides a visual cue for significant momentum changes.
6. User Inputs
a) length
Defines how many bars the script looks back to compute the highest high and lowest low for the Fisher Transform. A smaller length reacts more quickly but can be noisier, while a larger length smooths out the indicator at the cost of responsiveness.
b) signal aggressiveness
Adjusts the buy and sell thresholds for conservative, moderate, and aggressive trading styles. This can be key in matching the indicator to personal risk preferences or varying market conditions. Conservative will give you less signals and aggressive will give you more signals.
c) minimum movement filter
Specifies how far apart the Fisher line and its signal line must be before generating a valid crossover signal.
d) divergence lookback
Controls how many bars are examined when determining if price and the oscillator are diverging. A larger setting might generate fewer signals, while a smaller one can provide more frequent alerts.
e) intensity threshold
Determines how large a change in the Fisher value must be for the indicator to recolor bars. Strong momentum surges become more noticeable.
f) overbought level and oversold level
Lets users define where they consider market conditions to be stretched on the upside or downside.
7. Calculation Process
a) Price Input
The script uses the midpoint of each bar’s high and low, sometimes referred to as hl2.
hl2 = (high + low) / 2
b) Range Normalization
Determine the maximum (maxHigh) and minimum (minLow) values over a user-defined lookback period (length).
Scale the hl2 value so it roughly fits between -1 and +1:
value = 2 * ((hl2 - minLow) / (maxHigh - minLow) - 0.5)
This step highlights the bar’s current position relative to its recent highs and lows.
c) Fisher Calculation
Convert the normalized value into the Fisher Transform:
fisher = 0.5 * ln( (1 + value) / (1 - value) ) + 0.5 * fisher_previous
fisher_previous is simply the Fisher value from the previous bar. Averaging half of the new transform with half of the old value smooths the result slightly and can prevent erratic jumps.
ln is the natural logarithm function, which compresses or expands values so that market turns often become more obvious.
d) Signal Smoothing
Once the Fisher value is computed, a short Simple Moving Average (SMA) is applied to produce a signal line. In code form, this often looks like:
signal = sma(fisher, 3)
Crossovers of the fisher line versus the signal line can be used to hint at changes in momentum:
• A crossover occurs when fisher moves from below to above the signal.
• A crossunder occurs when fisher moves from above to below the signal.
e) Threshold Checking
Users typically define oversold and overbought levels (often -1 and +1).
Depending on aggressiveness settings (conservative, moderate, aggressive), these thresholds are slightly shifted to filter out or include more signals.
For example, an oversold threshold of -1 might be used in a moderate setting, whereas -1.5 could be used in a conservative setting to require a deeper dip before triggering.
f) Divergence Checks
The script looks back a specified number of bars (divergenceLookback). For both price and the fisher line, it identifies:
• priceHigh = the highest hl2 within the lookback
• priceLow = the lowest hl2 within the lookback
• fisherHigh = the highest fisher value within the lookback
• fisherLow = the lowest fisher value within the lookback
If price forms a lower low while fisher forms a higher low, it can signal a bullish divergence. Conversely, if price forms a higher high while fisher forms a lower high, a bearish divergence might be indicated.
g) Bar Coloring
The script monitors the absolute change in Fisher values from one bar to the next (sometimes called fisherChange):
fisherChange = abs(fisher - fisher )
If fisherChange exceeds a user-defined intensityThreshold, bars are recolored to highlight a surge of momentum. Aqua might indicate a strong bullish surge, while purple might indicate a strong bearish surge.
This color-coding provides a quick visual cue for traders looking to spot large momentum swings without constantly monitoring indicator values.
8. Signal Generation and Filtering
Buy and sell signals occur when the Fisher line crosses the signal line in regions defined as oversold or overbought. The optional minimum movement filter prevents triggering if Fisher and its signal line are too close, reducing the chance of small, inconsequential price fluctuations creating frequent signals. Divergences that appear in oversold or overbought regions can serve as additional evidence that momentum might soon shift.
9. Visualization on the Chart
Uptrick: Fisher Eclipse plots two lines: the Fisher line in one color and the signal line in a contrasting shade. The chart displays horizontal dashed lines where the overbought and oversold levels lie. When the Fisher Transform experiences a sharp jump or drop above the intensity threshold, the corresponding price bars may change color, signaling that momentum has undergone a noticeable shift. If the indicator detects bullish or bearish divergence, dotted lines are drawn on the oscillator portion to connect the relevant points.
10. Market Adaptability
Because of the different aggressiveness levels and the optional minimum movement filter, Uptrick: Fisher Eclipse can be tailored to multiple trading styles. For instance, a short-term scalper might select a smaller length and more aggressive thresholds, while a swing trader might choose a longer length for smoother readings, along with conservative thresholds to ensure fewer but potentially stronger signals. During strongly trending markets, users might rely more on divergences or large intensity changes, whereas in a range-bound market, oversold or overbought conditions may be more frequent.
11. Risk Management Considerations
Indicators alone do not ensure favorable outcomes, and relying solely on any one signal can be risky. Using a stop-loss or other protections is often suggested, especially in fast-moving or unpredictable markets. Divergence can appear before a market reversal actually starts. Similarly, a Fisher Transform can remain in an overbought or oversold region for extended periods, especially if the trend is strong. Cautious interpretation and confirmation with additional methods or chart analysis can help refine entry and exit decisions.
12. Combining with Other Tools
Traders can potentially strengthen signals from Uptrick: Fisher Eclipse by checking them against other methods. If a moving average cross or a price pattern aligns with a Fisher crossover, the combined evidence might provide more certainty. Volume analysis may confirm whether a shift in market direction has participation from a broad set of traders. Support and resistance zones could reinforce overbought or oversold signals, particularly if price reaches a historical boundary at the same time the oscillator indicates a possible reversal.
13. Parameter Customization and Examples
Some short-term traders run a 15-minute chart, with a shorter length setting, aggressively tight oversold and overbought thresholds, and a smaller divergence lookback. This approach produces more frequent signals, which may appeal to those who enjoy fast-paced trading. More conservative traders might apply the indicator to a daily chart, using a larger length, moderate threshold levels, and a bigger divergence lookback to focus on broader market swings. Results can differ, so it may be helpful to conduct thorough historical testing to see which combination of parameters aligns best with specific goals.
14. Realistic Expectations
While the Fisher Transform can reveal potential turning points, no mathematical tool can predict future price behavior with full certainty. Markets can behave erratically, and a period of strong trending may see the oscillator pinned in an extreme zone without a significant reversal. Divergence signals sometimes appear well before an actual trend change occurs. Recognizing these limitations helps traders manage risk and avoids overreliance on any one aspect of the script’s output.
15. Theoretical Background
The Fisher Transform uses a logarithmic formula to map a normalized input, typically ranging between -1 and +1, into a scale that can fluctuate around values like -3 to +3. Because the transformation exaggerates higher and lower readings, it becomes easier to spot when the market might have stretched too far, too fast. Uptrick: Fisher Eclipse builds on that foundation by adding a series of practical tools that help confirm or refine those signals.
16. Originality and Uniqueness
Uptrick: Fisher Eclipse is not simply a duplicate of the basic Fisher Transform. It enhances the original design in several ways, including built-in divergence detection, bar-color triggers for momentum surges, thresholds for overbought and oversold levels, and customizable signal aggressiveness. By unifying these concepts, the script seeks to reduce noise and highlight meaningful shifts in market direction. It also places greater emphasis on helping traders adapt the indicator to their specific style—whether that involves frequent intraday signals or fewer, more robust alerts over longer timeframes.
17. Summary
Uptrick: Fisher Eclipse is an expanded take on the original Fisher Transform oscillator, including divergence detection, bar coloring based on momentum strength, and flexible signal thresholds. By adjusting parameters like length, aggressiveness, and intensity thresholds, traders can configure the script for day-trading, swing trading, or position trading. The indicator endeavors to highlight where price might be shifting direction, but it should still be combined with robust risk management and other analytical methods. Doing so can lead to a more comprehensive view of market conditions.
18. Disclaimer
No indicator or script can guarantee profitable outcomes in trading. Past performance does not necessarily suggest future results. Uptrick: Fisher Eclipse is provided for educational and informational purposes. Users should apply their own judgment and may want to confirm signals with other tools and methods. Deciding to open or close a position remains a personal choice based on each individual’s circumstances and risk tolerance.
Candle Spread Oscillator (CS0)The Candle Spread Oscillator (CSO) is a custom technical indicator designed to help traders identify momentum and directional strength in the market by analyzing the relationship between the candle body spread and the total candle range. This oscillator provides traders with a visually intuitive representation of price action dynamics and highlights key transitions between positive and negative momentum.
How It Works:
Body Spread vs. Total Range:
The CSO calculates the body spread (difference between the close and open price) and compares it to the total range (difference between the high and low price) of a candle.
The ratio of the body spread to the total range represents the proportion of price movement driven by directional momentum.
Smoothed Oscillator:
To remove noise and enhance clarity, the ratio is smoothed using a Hull Moving Average (HMA). The smoothing period can be adjusted through the "Smoothing Period" input, enabling traders to tailor the indicator to their preferred timeframes or strategies.
Gradient Visualization:
A gradient coloring is applied to the oscillator, transitioning smoothly between colors (e.g., fuchsia for negative momentum and aqua for positive momentum). This provides traders with a clear, intuitive visual cue of market behavior.
Visual Features:
Oscillator Plot:
The oscillator is displayed as an area-style plot, dynamically colored using a gradient. Positive values are represented in shades of aqua, while negative values are in shades of fuchsia.
Midline (0 Level):
A horizontal midline is plotted at the zero level, serving as a key reference point for identifying transitions between positive and negative momentum.
Background Highlights:
The chart background is subtly colored to match the oscillator's state, enhancing the visual emphasis on current momentum conditions.
Alerts for Key Crossovers:
The CSO comes with built-in alert conditions, making it highly actionable for traders:
Cross Up Alert: Triggers when the oscillator crosses above the midline (0), signaling a potential shift into positive momentum.
Cross Down Alert: Triggers when the oscillator crosses below the midline (0), indicating a potential transition into negative momentum.
These alerts allow traders to stay informed about critical market shifts without constantly monitoring the chart.
How to Use:
Trend Identification:
When the oscillator is above the midline and positive, it indicates that price action is moving with bullish momentum.
When the oscillator is below the midline and negative, it reflects bearish momentum.
Momentum Strength:
The magnitude of the oscillator (its distance from the midline) helps traders gauge the strength of the momentum. Stronger moves will push the oscillator further from zero.
Potential Reversals:
Crossovers of the oscillator through the midline can signal potential reversals or shifts in market direction.
Customization:
Adjust the Smoothing Period to adapt the sensitivity of the oscillator to different timeframes. A lower smoothing period reacts faster to price changes, while a higher smoothing period smooths out noise.
Best Use Cases:
Momentum Trading: Identify periods of sustained bullish or bearish momentum to align with the trend.
Reversal Signals: Spot transitions in market direction when the oscillator crosses the midline.
Confirmation Tool: Use the CSO alongside other indicators (e.g., volume, trendlines, or moving averages) to confirm trading signals.
Key Inputs:
Smoothing Period: Customize the sensitivity of the oscillator by adjusting the lookback period for the Hull Moving Average.
Gradient Range: The color gradient transitions between defined thresholds (-0.1 to 0.2 by default), ensuring a smooth visual experience.
[Why Use the Candle Spread Oscillator?
The CSO is a simple yet powerful tool for traders who want to:
Gain a deeper understanding of price momentum.
Quickly visualize shifts between bullish and bearish trends.
Use clear, actionable signals with customizable alerts.
Disclaimer: This indicator is not a standalone trading strategy. It should be used in combination with other technical and fundamental analysis tools. Always trade responsibly, and consult a financial advisor for personalized advice.
OBV TSI IndicatorThe OBV TSI Indicator combines two powerful technical analysis tools: the On-Balance Volume (OBV) and the True Strength Index (TSI). This hybrid approach provides insights into both volume dynamics and momentum, helping traders identify potential trend reversals, breakouts, or continuations with greater accuracy.
The OBV TSI Indicator tracks cumulative volume shifts via OBV and integrates the TSI for momentum analysis. It offers customizable moving average options for further smoothing. Visual trendlines, pivot points, and signal markers enhance clarity.
The OBV tracks volume flow by summing volumes based on price changes. Positive volume is added when prices rise, and negative volume is subtracted when prices fall. The result is smoothed to detect meaningful trends in volume. A volume spread is derived from the difference between the smoothed OBV and cumulative volume. This is then adjusted by the price deviation to generate the shadow spread, which highlights critical volume-driven price levels.
The shadow spread is added to either the high or low price, depending on its sign, producing a refined OBV output. This serves as the main source for the subsequent TSI calculation. The TSI is a momentum oscillator calculated using double-smoothed price changes. It provides an accurate measure of trend strength and direction.
Various moving average options, such as EMA, DEMA, or TEMA, are applied to the smoothed OBV for additional trend filtering. Users can select their preferred type and length to suit their trading strategy. Trendlines are plotted to visualize the overall direction. When a significant change in trend is detected, up or down arrows indicate potential buy or sell signals. The script identifies key pivot points based on the highest and lowest levels within a defined period. These pivots help pinpoint reversal zones.
The indicator offers customization options, allowing users to adjust the OBV length for smoothing, choose from various moving average types, and fine-tune the short, long, and signal periods for TSI. Additionally, users can toggle visibility for trendlines, signals, and pivots to suit their preferences.
This indicator is ideal for practical use cases such as spotting potential trend reversals by observing TSI crossovers and pivot levels, anticipating breakouts from key price levels using the shadow spread, and validating trends by aligning TSI signals with OBV and moving averages.
The OBV TSI Indicator is a versatile tool designed to enhance decision-making in trading by combining volume and momentum analysis. Its flexibility and visual aids make it suitable for traders of all experience levels. By leveraging its insights, you can confidently navigate market trends and improve your trading outcomes.
Catalyst TrendCatalyst Trend – A Comprehensive Trend and Regime Analyzer
The Catalyst Trend indicator was designed to dynamically and intuitively merge various classic analytical techniques. The goal is to filter out short-term market noise and reveal reliable trend phases or potential turning points. Below is a detailed explanation of its core elements and practical usage.
1. Concept and Idea
Multidimensional Trend Detection
This indicator goes beyond a simple momentum or volatility focus. It factors in multiple measurements to provide a more well-rounded market perspective.
Versatile Indicator Fusion
Linear Regression (LinReg): Multiple LinReg calculations are combined to smooth out price fluctuations and produce a robust trendline—known here as the “Cycle Reduced Line.”
ADX (Average Directional Index): Measures trend strength.
RSI (Relative Strength Index): Flags potential overbought or oversold conditions, in both the current timeframe and a higher timeframe.
ATR (Average True Range): Assesses volatility; used to dynamically adjust calculation lengths.
By weaving these elements together, the indicator adds value beyond simply stacking multiple indicators. It adapts to real-time market conditions, aiming to highlight genuine trends and reduce false signals.
2. Key Functions and Calculations
Dynamic Length & Smoothing
A blend of volatility (ATR), ADX values, and RSI inputs determines how many candles are used in the LinReg calculations and how heavily the data is smoothed.
This allows the indicator to respond promptly during periods of high volatility, while automatically adjusting to filter out unnecessary noise in quieter phases.c
Cycle Reduced Line
The script averages several offset LinReg calculations to produce a cleaner overall signal. Random outliers are thus minimized, making the trend path more visually consistent.
An additional EMA smoothing (“Final Smoothing”) further stabilizes this trendline, reducing the impact of minor price fluctuations.
Channel Bands (Optional)
These bands are derived from the standard deviation of the price residual (the difference between the smoothed price and the trendline).
They highlight potential over-extension zones: the upper band can mark short-term overbought areas, while the lower band might indicate oversold conditions.
Trend and Sideways Determination
Slope Calculation: The slope of the trendline (comparing the current bar to the previous one) helps identify short-term directional shifts.
DX Threshold: Once the ADX surpasses a user-defined threshold and the slope is positive, it may indicate a developing uptrend. Similarly, if the slope is negative and ADX > threshold, it could signal a potential downtrend.
Multi-Level Color Coding
Original Mode: Interpolated colors reflect uptrends, downtrends, and sideways phases, factoring in metrics like ADX and RSI.
Single Color: For a neutral look, the indicator can be displayed in one uniform color.
HTF RSI: This mode uses the higher-timeframe RSI to color the trendline (Long/Short/Neutral), offering a quick gauge of overarching market pressure.
3. Use Cases and Interpretation
Timeframes & Markets
The indicator is versatile and adapts well to different intervals, from 5-minute charts to weekly views.
It can be applied to various markets—crypto, forex, stocks—since volatility and trend strength are universal concepts.
Signal Recognition
Color Swings into a more pronounced upward hue (e.g., green) may signal mounting strength.
Neutral or mixed tones often point to sideways phases, which breakout traders might watch for potential price surges.
A shift to downward colors (e.g., red) may indicate a growing bearish trend.
Channel Bands & Volatility
When the bands spread widely, it’s wise to proceed with caution: abrupt spikes above the upper band or below the lower band can flag rapid short-term extremes.
These bands are more of a reference for potential overextension than a strict buy or sell trigger.
Additional Confirmations
Not a standalone panacea: The Catalyst Trend indicator is an analytical tool, best used alongside other methods such as volume analysis or price action (candlestick patterns, support/resistance levels) to bolster confidence in trading decisions.
4. Practical Tips
Parameter Adjustments
Depending on the market—crypto vs. traditional currency pairs—different ADX, RSI, or smoothing periods may be more effective. Experiment with the settings to tailor the indicator to your preferred timeframe.
Strategic Integration
Trailing Stops: For those riding a trend, the trendline or the channel bands may serve as a reference to trail stop-loss orders.
Trend Confirmation: Using RSI and ADX filters can help traders avoid sideways markets or stay the course when the trend is strong.
5. Important Final Notes
No Guarantee of Profits
No indicator can predict the future. Markets are inherently volatile and often unpredictable.
Responsible Risk Management
Test the indicator in a demo environment or with smaller positions before committing to large trades.
Twiggs Money FlowTwiggs Money Flow (TMF)
This indicator is an implementation of the Twiggs Money Flow (TMF), a volume-based tool designed to measure buying and selling pressure over a specified period. TMF is an enhancement of Chaikin Money Flow (CMF), utilizing more sophisticated smoothing techniques for improved accuracy and reduced noise. This version is highly customizable and includes advanced features for both new and experienced traders.
What is Twiggs Money Flow?
Twiggs Money Flow was developed by Colin Twiggs to provide a clearer picture of market momentum and the balance between buyers and sellers. It uses a combination of price action, trading volume, and range calculations to assess whether a market is under buying or selling pressure.
Unlike traditional volume indicators, TMF incorporates Weighted Moving Averages (WMA) by default but allows for other moving average types (SMA, EMA, VWMA) for added flexibility. This makes it adaptable to various trading styles and market conditions.
Features of This Script:
Customizable Moving Average Types:
Select from SMA , EMA , WMA , or VWMA to smooth volume and price-based calculations.
Tailor the indicator to align with your trading strategy or the asset's behavior.
Optional HMA Smoothing:
Apply Hull Moving Average (HMA) smoothing for a cleaner, faster-reacting TMF line.
Perfect for traders who want to reduce lag and capture trends earlier.
Dynamic Thresholds for Signal Filtering:
Set user-defined thresholds for Long (LT) and Short (ST) signals to highlight significant momentum.
Focus on actionable trends by ignoring noise around neutral levels.
Bar Coloring for Visual Clarity:
Automatically colors your chart bars based on TMF values:
Aqua for strong bullish signals (above the long threshold).
Fuchsia for strong bearish signals (below the short threshold).
Gray for neutral or undecided market conditions.
Ensures that trend direction and strength are visually intuitive.
Configurable Lookback Period:
Adjust the sensitivity of TMF by customizing the length of the lookback period to suit different timeframes and market conditions.
How It Works:
True Range Calculation: The script determines the high, low, and close range to calculate buying and selling pressure.
Adjusted Volume: Incorporates the relationship between price and volume to gauge whether trading activity is favoring buyers or sellers.
Weighted Moving Averages (WMAs): Smooths both volume and adjusted volume values to eliminate erratic fluctuations.
TMF Line: Computes the ratio of adjusted volume to total volume, representing the net buying/selling pressure as a percentage.
HMA Option (if enabled): Smooths the TMF line further to reduce lag and enhance trend identification.
Bar Coloring Logic:
Bars are colored dynamically based on TMF values, thresholds, and smoothing preferences.
Provides an at-a-glance understanding of market conditions.
Input Parameters:
Lookback Period: Defines the number of bars used to calculate TMF (default: 21).
Use HMA Smoothing: Toggle Hull Moving Average smoothing (default: true).
HMA Smoothing Length: Length of the HMA smoothing period (default: 14).
Moving Average Type: Select SMA, EMA, WMA, or VWMA (default: WMA).
Long Threshold (LT): Threshold value above which a long signal is considered (default: 0).
Short Threshold (ST): Threshold value below which a short signal is considered (default: 0).
How to Use It:
Confirm Trends: TMF can validate trends by identifying periods of sustained buying or selling pressure.
Divergence Signals: Watch for divergences between price and TMF to anticipate potential reversals.
Filter Trades: Use the thresholds to ignore weak signals and focus on strong trends.
Combine with Other Indicators: Pair TMF with trend-following or momentum indicators (e.g., RSI, Bollinger Bands) for a comprehensive trading strategy.
Example Use Cases:
Spotting breakouts when TMF crosses above the long threshold.
Identifying sell-offs when TMF dips below the short threshold.
Avoiding sideways markets by ignoring neutral (gray) bars.
Notes:
This indicator is highly customizable, making it versatile across different assets (e.g., stocks, crypto, forex).
While the default settings are robust, tweaking the lookback period, moving average type, and thresholds is recommended for different trading instruments or strategies.
Always backtest thoroughly before applying the indicator to live trading.
This version of Twiggs Money Flow goes beyond standard implementations by offering advanced smoothing, custom thresholds, and enhanced visual feedback to give traders a competitive edge.
Add it to your charts and experience the power of volume-driven analysis!
RSI+EMA+MZONES with DivergencesFeatures:
1. RSI Calculation:
Uses user-defined periods to calculate the RSI and visualize momentum shifts.
Plots key RSI zones, including upper (overbought), lower (oversold), and middle levels.
2. EMA of RSI:
Includes an Exponential Moving Average (EMA) of the RSI for trend smoothing and confirmation.
3. Bullish and Bearish Divergences:
Detects Regular divergences (labeled as “Bull” and “Bear”) for classic signals.
Identifies Hidden divergences (labeled as “H Bull” and “H Bear”) for potential trend continuation opportunities.
4. Customizable Labels:
Displays divergence labels directly on the chart.
Labels can be toggled on or off for better chart visibility.
5. Alerts:
Predefined alerts for both regular and hidden divergences to notify users in real time.
6. Fully Customizable:
Adjust RSI period, lookback settings, divergence ranges, and visibility preferences.
Colors and styles are easily configurable to match your trading style.
How to Use:
RSI Zones: Use RSI and its zones to identify overbought/oversold conditions.
EMA: Look for crossovers or confluence with divergences for confirmation.
Divergences: Monitor for “Bull,” “Bear,” “H Bull,” or “H Bear” labels to spot key reversal or continuation signals.
Alerts: Set alerts to be notified of divergence opportunities without constant chart monitoring.
Momentum Matrix (BTC-COIN)The Momentum Matrix (BTC-COIN) indicator analyzes the momentum relationship between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). By combining RSI, correlation, and dominance metrics, it identifies bullish and bearish macro trends to align trades with market momentum.
How It Works
Price Inputs: Pulls weekly price data for CRYPTOCAP:BTC and NASDAQ:COIN for macro analysis.
Metrics Calculated:
• RSI Divergence: Measures momentum differences between CRYPTOCAP:BTC and $COIN.
• Price Ratio: Tracks the $COIN/ CRYPTOCAP:BTC relationship relative to its long-term average (SMA).
• Correlation: Analyzes price co-movement between CRYPTOCAP:BTC and $COIN.
• Dominance Impact: Incorporates CRYPTOCAP:BTC dominance for broader crypto trends.
Composite Momentum Score: Combines these metrics into a smoothed macro momentum value.
Thresholds for Trend Detection: Upper and lower thresholds dynamically adapt to market conditions.
Signals and Visualization:
• Buy Signal: Momentum exceeds the upper threshold, indicating bullish trends.
• Sell Signal: Momentum falls below the lower threshold, indicating bearish trends.
• Background Colors: Green (bullish), Red (bearish).
Strengths
Integrates multiple metrics for robust macro analysis.
Dynamic thresholds adapt to market conditions.
Effective for identifying macro momentum shifts.
Limitations
Lag in high volatility due to smoothing.
Less effective in choppy, sideways markets.
Assumes CRYPTOCAP:BTC dominance drives NASDAQ:COIN momentum, which may not always hold true.
Improvements
Multi-Timeframe Analysis: Add daily or monthly data for precision.
Volume Filters: Include volume thresholds for signal validation.
Additional Metrics: Consider MACD or Stochastics for further confirmation.
Complementary Tools
Volume Indicators: OBV or cumulative delta for confirmation.
Trend-Following Systems: Pair with moving averages for timing.
Market Breadth Metrics: Combine with CRYPTOCAP:BTC dominance trends for context.
Volume Index (0-100)Volume Index (0-100) Indicator
The Volume Index (0-100) indicator is a powerful tool designed to help traders understand current volume levels in relation to past activity over a specified period. By normalizing volume data to a scale from 0 to 100, this indicator makes it easy to compare today's volume against recent history and gauge the strength of market movements.
Key Features:
Normalized Volume Index: The indicator indexes volume between 0 and 100, allowing traders to easily determine if the current volume is unusually high or low compared to recent trends.
Colored Visualization: The line graph is colored green for positive volume (increasing activity) and red for negative volume (decreasing activity). This helps traders quickly grasp the market sentiment and volume direction.
User-Defined Lookback Period: Traders can customize the lookback period to best fit their trading strategy, providing flexibility for different market conditions.
How Traders Can Use It:
Identifying Volume Extremes: The Volume Index helps identify periods of unusually high or low volume. Values approaching 100 indicate high volume, while values close to 0 indicate low volume.
Confirmation Tool: During price movements, high volume (near 100) can act as a confirmation signal for the strength of the trend. For instance, a high volume during an uptrend may indicate strong buying interest.
Divergence Analysis: Traders can look for divergences between volume and price. For example, if the price is consolidating while the Volume Index remains high, it could signal an impending breakout.
Volume Alerts: The indicator includes an alert feature when the Volume Index exceeds 80, helping traders stay informed about potential shifts in market volatility.
Adapted RSI w/ Multi-Asset Regime Detection v1.1The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset.
In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell.
The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
The RSI is one of the most popular technical indicators. I intend to offer a fresh spin.
Adapted RSI w/ Multi-Asset Regime Detection
Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together.
How we calculate the RSI
First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example:
Average Gain = Sum of Gains over the past 14 days / 14
Average Loss = Sum of Losses over the past 14 days / 14
Then we calculate the Relative Strength (RS):
RS = Average Gain / Average Loss
Finally, this is converted to the RSI value:
RSI = 100 - (100 / (1 + RS))
Key Features
Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options.
Quick Guide to Use it
Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings.
Position the two information tables according to your preference.
The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets.
Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals.
How it Works (Regime Detection & Signals)
When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below...
Signal generation occurs across five distinct levels:
Strong Buy (RSI < 15)
Buy (RSI < 30)
Neutral (RSI 30-70)
Sell (RSI > 70)
Strong Sell (RSI > 85)
Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum).
This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.
Momentum Zones [TradersPro]OVERVIEW
The Momentum Zones indicator is designed for momentum stock traders to provide a visible trend structure with actionable price levels. The indicator has been designed for high-growth, bullish stocks on a daily time frame but can be used on any chart and timeframe.
Momentum zones help traders focus on the momentum structure of price, enabling disciplined trading plans with specific entry, exit, and risk management levels.
It is built using CCI values, allowing for fixed trend range calculations. It is most effective when applied to screens of stocks with high RSI, year-to-date (YTD) price gains of 25% or higher, as well as stocks showing growth in both sales and earnings quarter-over-quarter and year-over-year.
CONCEPTS
The indicator defines and colors uptrends (green), downtrends (red), and trends in transition or pausing (yellow).
The indicator can be used for new trend entry or trend continuation entry. New trend entry can be done on the first green bar after a red bar. Trend continuation entries can be done with the first green bar after a yellow bar. The yellow transition zones can be used as price buffers for stop-loss management on new entries.
To see the color changes, users need to be sure to uncheck the candlestick color settings. This can be done by right-clicking the chart, going to Symbols, and unchecking the candle color body, border, and wick boxes.
Remember to check them if the indicator is turned off, or the candles will be blank with no color.
The settings also correspond to the screening function to get a list of stocks entering various momentum zones so you can have a prime list of the stocks meeting any other fundamental criteria you may desire. Traders can then use the indicator for the entry and risk structure of the trading plan.
