Multi-Asset & TF RSI
Multi-Asset & TF RSI
This indicator allows you to compare the Relative Strength Index (RSI) values of two different assets across multiple timeframes in a single pane. It’s ideal for traders who wish to monitor momentum across different markets or instruments simultaneously.
Key Features:
Primary Asset RSI:
The indicator automatically calculates the RSI for the chart’s asset. You can adjust the timeframe for this asset using a dropdown that offers standard TradingView timeframes, a "Chart" option (which syncs with your current chart timeframe), or a "Custom" option where you can enter any timeframe.
Optional Second Asset RSI:
Enable the “Display Second Asset” option to compare another asset’s RSI. Simply select the symbol (default is “DXY”) and choose its timeframe from an identical dropdown. When enabled, the second asset’s RSI is computed and plotted for easy comparison.
RSI Settings:
Customize the RSI length and choose the data source (e.g., close price) to suit your trading strategy.
Visual Aids:
Overbought (70) and oversold (30) levels are clearly marked, along with a midline at 50. These visual cues help you quickly assess market conditions.
Asset Information Table:
A dynamic table at the top of the pane displays the symbols being analysed – the chart’s asset as the “1st” asset and, if enabled, the second asset as the “2nd.”
How to Use:
Apply the Indicator:
Add the indicator to your chart. By default, it will calculate the RSI for the chart’s current asset using your chart’s timeframe.
Adjust Primary Asset Settings:
Use the “Main Asset Timeframe” dropdown to choose the timeframe for the RSI calculation on the chart asset. Select “Chart” to automatically match your current chart’s timeframe or choose a preset/custom timeframe.
Enable and Configure the Second Asset:
Toggle the “Display Second Asset” option to enable the second asset’s RSI. Select the asset symbol and its desired timeframe using the provided dropdown. The RSI for the second asset will be plotted if enabled.
Monitor the RSI Values:
Observe the plotted RSI lines along with the overbought/oversold levels. Use the table at the top-centre of the pane to verify which asset symbols are being displayed.
This versatile tool is designed to support multi-asset analysis and can be a valuable addition to your technical analysis toolkit. Enjoy enhanced RSI comparison across markets and timeframes!
Happy Trading!
Ortalanmış Osilatörler
Multi Asset & TF Stochastic
Multi Asset & TF Stochastic
This indicator allows you to compare the stochastic oscillator values of two different assets across multiple timeframes in a single pane. It’s designed for traders who want to analyse the momentum of one asset (by default, the chart’s asset) alongside a second asset of your choice (e.g., comparing EURUSD to the USD Index).
How It Works:
Main Asset:
The indicator automatically uses the chart’s asset for the primary stochastic calculation. You have the option to adjust the timeframe for this asset using a dropdown that includes TradingView’s standard timeframes, a "Chart" option (which automatically uses your chart’s timeframe), or a "Custom" option where you can type in any timeframe.
Second Asset:
You can enable the display of a second asset by toggling the “Display Second Asset” option. Choose the asset symbol (default is “DXY”) and select its timeframe from an identical dropdown. When enabled, the script calculates the stochastic oscillator for the second asset, allowing you to compare its momentum (%K and %D lines) with that of the main asset.
Stochastic Oscillator Settings:
Customize the %K length, the smoothing period for %K, and the smoothing period for %D. Both assets’ stochastic values are calculated using these parameters.
Visual Display:
The indicator plots the %K and %D lines for the main asset in prominent colours. If the second asset is enabled, its %K and %D lines are also plotted in different colours. Additionally, overbought (80) and oversold (20) levels are marked, with a midline at 50, making it easier to gauge market conditions at a glance.
%D line can be toggled off for a cleaner view if required:
Asset Information Table:
A table at the top-centre of the pane displays the active asset symbols—ensuring you always know which assets are being analysed.
How to Use:
Apply the Indicator:
Add the script to your chart. By default, it will use the chart’s current asset and timeframe for the primary stochastic oscillator.
Adjust the Main Asset Settings:
Use the “Main Asset Timeframe” dropdown to select a specific timeframe for the main asset or stick with the “Chart” option for automatic syncing with your current chart.
Enable and Configure the Second Asset (Optional):
Toggle on “Display Second Asset” if you wish to compare another asset. Select the desired symbol and adjust its timeframe using the provided dropdown. Choose “Custom” if you need a timeframe not listed by default.
Review the Plots and Table:
Observe the stochastic %K and %D lines for each asset. The overbought/oversold levels help indicate potential market turning points. Check the table at the top-centre to confirm the asset symbols being displayed.
This versatile tool is ideal for traders who rely on momentum analysis and need to quickly compare the stochastic signals of different markets or instruments. Enjoy seamless multi-asset analysis with complete control over your timeframe settings!
Pay Attention CandleThis is an attempt to detect the so called Pay Attention Candles from RexDog Trading System (RDTS). (They are not clearly defined by any specific set in stone rule, so this is just my interpretation)
You can turn on and off the bar highlight/triangles if chart gets too busy and you want only one of the indication types.
The way this is defined as evident in the code is - it looks at the candle size (without the wicks!!! only open to close) to decide whether it is larger than ATR mutlipied by a multiplier (1.5 by default here - you can adjust)
ATR period can also be adjusted but it's set to 9 by default.
Enjoy.
MACD+RSI Indicator Moving Average Convergence/Divergence or MACD is a momentum indicator that shows the relationship between two Exponential Moving Averages (EMAs) of a stock price. Convergence happens when two moving averages move toward one another, while divergence occurs when the moving averages move away from each other. This indicator also helps traders to know whether the stock is being extensively bought or sold. Its ability to identify and assess short-term price movements makes this indicator quite useful.
The Moving Average Convergence/Divergence indicator was invented by Gerald Appel in 1979.
Moving Average Convergence/Divergence is calculated using a 12-day EMA and 26-day EMA. It is important to note that both the EMAs are based on closing prices. The convergence and divergence (CD) values have to be calculated first. The CD value is calculated by subtracting the 26-day EMA from the 12-day EMA.
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The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of a security's recent price changes to detect overbought or oversold conditions in the price of that security.
The RSI is displayed as an oscillator (a line graph) on a scale of zero to 100. The indicator was developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, New Concepts in Technical Trading Systems.
In addition to identifying overbought and oversold securities, the RSI can also indicate securities that may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
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By combining them, you can create a MACD/RSI strategy. You can go ahead and search for MACD/RSI strategy on any social platform. It is so powerful that it is the most used indicator in TradingView. It is best for trending market. Our indicator literally let you customize MACD/RSI settings. Explore our indicator by applying to your chart and start trading now!
MACD Volume Strategy for XAUUSD (15m) [PineIndicators]The MACD Volume Strategy is a momentum-based trading system designed for XAUUSD on the 15-minute timeframe. It integrates two key market indicators: the Moving Average Convergence Divergence (MACD) and a volume-based oscillator to identify strong trend shifts and confirm trade opportunities. This strategy uses dynamic position sizing, incorporates leverage customization, and applies structured entry and exit conditions to improve risk management.
⚙️ Core Strategy Components
1️⃣ Volume-Based Momentum Calculation
The strategy includes a custom volume oscillator to filter trade signals based on market activity. The oscillator is derived from the difference between short-term and long-term volume trends using Exponential Moving Averages (EMAs)
Short EMA (default = 5) represents recent volume activity.
Long EMA (default = 8) captures broader volume trends.
Positive values indicate rising volume, supporting momentum-based trades.
Negative values suggest weak market activity, reducing signal reliability.
By requiring positive oscillator values, the strategy ensures momentum confirmation before entering trades.
2️⃣ MACD Trend Confirmation
The strategy uses the MACD indicator as a trend filter. The MACD is calculated as:
Fast EMA (16-period) detects short-term price trends.
Slow EMA (26-period) smooths out price fluctuations to define the overall trend.
Signal Line (9-period EMA) helps identify crossovers, signaling potential trend shifts.
Histogram (MACD – Signal) visualizes trend strength.
The system generates trade signals based on MACD crossovers around the zero line, confirming bullish or bearish trend shifts.
📌 Trade Logic & Conditions
🔹 Long Entry Conditions
A buy signal is triggered when all the following conditions are met:
✅ MACD crosses above 0, signaling bullish momentum.
✅ Volume oscillator is positive, confirming increased trading activity.
✅ Current volume is at least 50% of the previous candle’s volume, ensuring market participation.
🔻 Short Entry Conditions
A sell signal is generated when:
✅ MACD crosses below 0, indicating bearish momentum.
✅ Volume oscillator is positive, ensuring market activity is sufficient.
✅ Current volume is less than 50% of the previous candle’s volume, showing decreasing participation.
This multi-factor approach filters out weak or false signals, ensuring that trades align with both momentum and volume dynamics.
📏 Position Sizing & Leverage
Dynamic Position Calculation:
Qty = strategy.equity × leverage / close price
Leverage: Customizable (default = 1x), allowing traders to adjust risk exposure.
Adaptive Sizing: The strategy scales position sizes based on account equity and market price.
Slippage & Commission: Built-in slippage (2 points) and commission (0.01%) settings provide realistic backtesting results.
This ensures efficient capital allocation, preventing overexposure in volatile conditions.
🎯 Trade Management & Exits
Take Profit & Stop Loss Mechanism
Each position includes predefined profit and loss targets:
Take Profit: +10% of risk amount.
Stop Loss: Fixed at 10,100 points.
The risk-reward ratio remains balanced, aiming for controlled drawdowns while maximizing trade potential.
Visual Trade Tracking
To improve trade analysis, the strategy includes:
📌 Trade Markers:
"Buy" label when a long position opens.
"Close" label when a position exits.
📌 Trade History Boxes:
Green for profitable trades.
Red for losing trades.
📌 Horizontal Trade Lines:
Shows entry and exit prices.
Helps identify trend movements over multiple trades.
This structured visualization allows traders to analyze past performance directly on the chart.
⚡ How to Use This Strategy
1️⃣ Apply the script to a XAUUSD (Gold) 15m chart in TradingView.
2️⃣ Adjust leverage settings as needed.
3️⃣ Enable backtesting to assess past performance.
4️⃣ Monitor volume and MACD conditions to understand trade triggers.
5️⃣ Use the visual trade markers to review historical performance.
The MACD Volume Strategy is designed for short-term trading, aiming to capture momentum-driven opportunities while filtering out weak signals using volume confirmation.
NLS - 52W High Screener (3, 5, 7 Days)This indicator automatically detects stocks that have reached a new 52-week high within the last 3, 5, or 7 days. Perfect for traders looking for breakouts and strong momentum stocks!
📊 Features:
✅ Identifies new 52-week highs within the last 3, 5, or 7 days
✅ Fully Screener-compatible – Easily filter stocks in the TradingView Screener
✅ Plots the 52-week high as a blue line in the chart for better visualization
✅ Built-in alerts to notify you when a new 52W high is reached
✅ Optimized for the 1D (daily) timeframe
🛠️ How to Use in the Screener:
1️⃣ Add & activate the indicator
2️⃣ Open the TradingView Screener
3️⃣ Filter using one of these columns:
Screener 52W High Last 3 Days
Screener 52W High Last 5 Days
Screener 52W High Last 7 Days
4️⃣ Set the filter to "is true" to see relevant stocks
📢 Alerts:
Get notified when a stock reaches a new 52-week high in the last 3, 5, or 7 days!
🔍 Ideal for:
✔ Trend-following & breakout traders 🚀
✔ Swing traders looking for strong stocks 📈
✔ Screener users searching for momentum setups
TradFi Fundamentals: Enhanced Macroeconomic Momentum Trading Introduction
The "Enhanced Momentum with Advanced Normalization and Smoothing" indicator is a tool that combines traditional price momentum with a broad range of macroeconomic factors. I introduced the basic version from a research paper in my last script. This one leverages not only the price action of a security but also incorporates key economic data—such as GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and market volatility (VIX)—to create a comprehensive, normalized momentum score.
Previous indicator
Explanation
In plain terms, the indicator calculates a raw momentum value based on the change in price over a defined lookback period. It then normalizes this momentum, along with several economic indicators, using a method chosen by the user (options include simple, exponential, or weighted moving averages, as well as a median absolute deviation (MAD) approach). Each normalized component is assigned a weight reflecting its relative importance, and these weighted values are summed to produce an overall momentum score.
To reduce noise, the combined momentum score can be further smoothed using a user-selected method.
Signals
For generating trade signals, the indicator offers two modes:
Zero Cross Mode: Signals occur when the smoothed momentum line crosses the zero threshold.
Zone Mode: Overbought and oversold boundaries (which are user defined) provide signals when the momentum line crosses these preset limits.
Definition of the Settings
Price Momentum Settings:
Price Momentum Lookback: The number of days used to compute the percentage change in price (default 50 days).
Normalization Period (Price Momentum): The period over which the price momentum is normalized (default 200 days).
Economic Data Settings:
Normalization Period (Economic Data): The period used to normalize all economic indicators (default 200 days).
Normalization Method: Choose among SMA, EMA, WMA, or MAD to standardize both price and economic data. If MAD is chosen, a multiplier factor is applied (default is 1.4826).
Smoothing Options:
Apply Smoothing: A toggle to enable further smoothing of the combined momentum score.
Smoothing Period & Method: Define the period and type (SMA, EMA, or WMA) used to smooth the final momentum score.
Signal Generation Settings:
Signal Mode: Select whether signals are based on a zero-line crossover or by crossing user-defined overbought/oversold (OB/OS) zones.
OB/OS Zones: Define the upper and lower boundaries (default upper zones at 1.0 and 2.0, lower zones at -1.0 and -2.0) for zone-based signals.
Weights:
Each component (price momentum, GDP, inflation, unemployment, interest rates, consumer confidence, industrial production, and VIX) has an associated weight that determines its contribution to the overall score. These can be adjusted to reflect different market views or risk preferences.
Visual Aspects
The indicator plots the smoothed combined momentum score as a continuous blue line against a dotted zero-line reference. If the Zone signal mode is selected, the indicator also displays the upper and lower OB/OS boundaries as horizontal lines (red for overbought and green for oversold). Buy and sell signals are marked by small labels ("B" for buy and "S" for sell) that appear at the bottom or top of the chart when the score crosses the defined thresholds, allowing traders to quickly identify potential entry or exit points.
Conclusion
This enhanced indicator provides traders with a robust approach to momentum trading by integrating traditional price-based signals with a suite of macroeconomic indicators. Its normalization and smoothing techniques help reduce noise and mitigate the effects of outliers, while the flexible signal generation modes offer multiple ways to interpret market conditions. Overall, this tool is designed to deliver a more nuanced perspective on market momentum.
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.
Multi timeframe RSIMulti-Timeframe RSI Indicator
This indicator displays the Relative Strength Index (RSI) from multiple timeframes—1 minute, 5 minutes, 15 minutes, and 30 minutes—on a single chart. Designed for intraday scalpers and short-term traders, it provides a comprehensive view of momentum across different timeframes, helping traders make more informed decisions.
✨ Why Use This Indicator?
✔ Enhanced Confirmation – Identify trends and momentum shifts with RSI signals from multiple timeframes.
✔ Perfect for Scalping & Intraday Trading – Quickly spot overbought/oversold conditions across different timeframes.
✔ Multi-Timeframe Confluence – Align entries and exits with stronger confirmation by analyzing RSI across short-term charts.
✔ Customizable & Easy to Use – Adjust RSI settings to suit your trading style.
This is a must-have tool for traders looking to refine their entries and exits with a multi-timeframe perspective! 🚀
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. 🚀
Candle Bias ForecastCandle Bias Forecast Indicator
Description:
The Candle Bias Forecast Indicator is an original multi‐timeframe analysis tool that generates price forecast levels based on the difference between candle biases on two different timeframes. It uses innovative calculations to provide potential forecast levels that align with current price action.
How It Works:
1. Candle Bias Calculation:
For each candle, the indicator computes a “candle bias” using the formula:
candleBias = (((open + close)/2 - (high + low)/2) + ((close - open)/(high - low)))/2
This measure captures both the positioning of the candle’s body within its range and the normalized move from open to close.
2. Multi-Timeframe Analysis:
The script uses multiple timeframe pairs (e.g., 5-minute vs. 30-minute, 10-minute vs. 60-minute, etc.). For each pair, the bias is computed on the lower timeframe and on the higher timeframe.
3. Normalization with ATR:
To translate the dimensionless bias difference into price terms, the indicator multiplies the difference by the lower timeframe’s Average True Range (ATR). This scales the forecast adjustment to current market volatility.
4. Forecast Computation:
The forecast level for each pair is then calculated as:
forecast = close + (lowerTF_ATR * (lowerTF_bias - higherTF_bias))
This yields forecast levels that are plotted on the chart and connected by lines for a visual guide.
How to Use:
- Visual Confirmation: Add the indicator to your 1 to 15 minute chart to see forecast levels overlaid on the price.
- Supplementary Analysis: Use these forecast levels as an additional tool alongside your other analysis methods. They can help indicate potential support/resistance areas or directional bias.
Important Notes:
- Not a Standalone Signal: This indicator is intended to supplement your analysis. Always combine it with other tools and sound risk management practices.
- For Educational & Research Use: The indicator is provided “as is” without any guarantee of performance. It is designed to illustrate an innovative approach to multi-timeframe analysis.
- Disclaimer: Past performance is not indicative of future results. Use this tool at your own risk.
By combining candle bias with ATR-based normalization and multi-timeframe analysis, this indicator offers a unique perspective on market dynamics that can enrich your trading strategy.
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*This is an original script designed to add value to the TradingView community. Please test and validate its outputs thoroughly before using it in live trading.*
Normalized RSI Oscillator with DivergencesNormalized RSI with Divergences {A Next-Level Trading Tool}
The Normalized RSI with Divergences indicator is a powerful and innovative tool designed to enhance your trading precision. By normalizing the Relative Strength Index (RSI) and detecting divergences between the standard and normalized RSI, this script helps traders identify potential trend reversals and continuations with remarkable clarity.
Key Features
🔹 Advanced RSI Normalization
• Transforms the traditional RSI into a normalized range of , making overbought and oversold conditions more intuitive.
• Utilizes a dynamic lookback period to adapt to market conditions.
🔹 Divergence Detection for Smarter Trading
• Identifies Bullish, Hidden Bullish, Bearish, and Hidden Bearish divergences by analyzing RSI pivot points.
• Provides early signals of trend reversals and continuations for better trade execution.
🔹 Clear & Visual Trade Signals
• Divergences are automatically labeled on the chart:
o Bullish Divergence: 🟢 “Bull” (Green) – Possible upward reversal.
o Hidden Bullish Divergence: 🟢 “Hid.” (Lime) – Continuation of an uptrend.
o Bearish Divergence: 🔴 “Bear” (Red) – Possible downward reversal.
o Hidden Bearish Divergence: 🟠 “Hid.” (Orange) – Continuation of a downtrend.
🔹 Fully Customizable Inputs
• Adjust RSI period, normalization lookback, and divergence parameters to fit your strategy.
• Tailor the indicator to your preferred trading style and market conditions.
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How It Works
🔹 RSI Normalization Formula:
Norm=2×(RSI−MinMax−Min)−1\text{Norm} = 2 \times \left(\frac{\text{RSI} - \text{Min}}{\text{Max} - \text{Min}}\right) - 1Norm=2×(Max−MinRSI−Min)−1
• Min & Max represent the lowest and highest RSI values over the selected lookback period.
🔹 Divergence Detection Process:
• Identifies pivot points in both the normalized RSI and the standard RSI.
• Compares their directions to detect potential trading signals.
🔹 Real-Time Chart Labeling:
• Uses label.new to visually highlight divergence points for quick and efficient decision-making.
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Input Parameters
• Source: Price source for RSI calculation (Default: hlc3).
• Signal Period: RSI calculation period (Default: 50).
• Lookback Range: Normalization period (Default: 200, Max: 5000).
• Trend Length: Smoothing period for normalized RSI (Default: 5).
• Band Width: Center line & bands calculation period (Default: 34).
• Divergence Range: Lookback period for divergence detection (Default: 5).
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How to Use
1. Add the script to your trading chart.
2. Customize the settings to match your trading approach.
3. Watch for divergence labels to identify potential market moves:
o 🟢 Bullish Divergence: Possible upward reversal.
o 🟢 Hidden Bullish Divergence: Continuation of an uptrend.
o 🔴 Bearish Divergence: Possible downward reversal.
o 🟠 Hidden Bearish Divergence: Continuation of a downtrend.
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Why Use This Indicator?
✅ Enhanced RSI Analysis: Normalization simplifies overbought/oversold conditions.
✅ Crystal-Clear Divergence Signals: Instantly spot key trend shifts.
✅ Fully Customizable: Adjust settings for your specific strategy.
✅ Improve Trade Accuracy: Gain an edge with precise divergence detection.
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⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always conduct thorough research and backtesting before using it in live trading.
📜 License
This script is released under the Mozilla Public License 2.0.
Enjoy the Normalized RSI with Divergences indicator, and happy trading! 🚀📈
— Kerem Ertem
TTC EMA Scalping Machine with RSI Filter and MACDTTC EMA Scalping Machine with RSI Filter and MACD
TTC EMA Scalping Machine with RSI Filter and MACD is a multi-layered technical analysis tool designed for traders looking to scalp the markets with a combination of trend-following and momentum-based indicators. This strategy leverages Exponential Moving Averages (EMAs) , Relative Strength Index (RSI) , MACD , and Volume Analysis to help traders identify high-probability entry points for short and long trades. The indicator can be used in multiple market conditions and is suited for both beginners and experienced traders looking for clear entry signals.
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Key Features :
1. EMA-Based Trend Filtering :
- The indicator uses four Exponential Moving Averages (EMAs) with different periods:
- EMA 10 (Short-Term) : The fastest-moving average for detecting quick price movements.
- EMA 20 (Medium-Term) : A central trendline for market momentum.
- EMA 30 (Long-Term) : To observe broader market trends.
- EMA 50 (Longest-Term) : To identify the overall market direction.
- These EMAs are plotted on the chart and used to create EMA bands , visually displaying potential support and resistance levels. Price action inside these bands helps identify scalping opportunities.
2. RSI Filter :
- RSI (Relative Strength Index) is used to gauge overbought and oversold conditions in the market:
- Overbought condition (RSI > 70) : The market may be overextended, signaling the possibility of a short.
- Oversold condition (RSI < 30) : The market may be undervalued, signaling the possibility of a long.
- The RSI filter ensures that trades are not taken when the market is overextended, offering a more conservative approach to trade entries.
3. MACD Momentum Analysis :
- The MACD (Moving Average Convergence Divergence) indicator is included to confirm the trend and momentum direction:
- Long Condition : The MACD line crosses above the signal line, confirming a bullish momentum.
- Short Condition : The MACD line crosses below the signal line, confirming a bearish momentum.
- This serves as an additional filter to verify if the market momentum aligns with the long or short entry criteria.
4. Long Entry (Buy Signal) :
- A long entry signal is triggered when the following conditions are met:
- The price is above EMA 20 (indicating an overall bullish market).
- The price is within the green EMA band (EMA 10 and EMA 20), suggesting short-term support.
- The RSI is below 70 (indicating the market is not overbought).
- The MACD line is above the signal line , showing bullish momentum.
- These conditions combined suggest an ideal environment for entering a long position.
5. Short Entry (Sell Signal) :
- A short entry signal is triggered when the following conditions are met:
- The price is below EMA 20 (indicating an overall bearish market).
- The price is within the green EMA band (EMA 20 and EMA 30), suggesting short-term resistance.
- The RSI is above 30 (indicating the market is not oversold).
- The MACD line is below the signal line , showing bearish momentum.
- These conditions combined suggest an ideal environment for entering a short position.
6. Signal Alerts :
- Long Alerts : Users can set alerts to notify them when a long condition is met. These alerts are triggered when all the criteria for a long entry are satisfied.
- Short Alerts : Similarly, users can set alerts for short signals, notifying them when all the conditions for a short entry are satisfied.
7. EMA Bands :
- The EMA bands are visually represented with colored fills between the EMAs, providing a visual aid to recognize potential trading zones. These zones can serve as a reference for traders to make quick decisions regarding entries and exits.
8. Volume Filter :
- The indicator also includes a volume filter , which compares the current volume to its 20-period simple moving average. Higher volumes provide confirmation of price movement, which can indicate stronger potential for the trade.
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How It Works :
- Long Trades : The indicator suggests a long position when the price is above the EMA 20, within the green EMA band, the RSI is not overbought, and MACD confirms bullish momentum (MACD line above the signal line).
- Short Trades : The indicator suggests a short position when the price is below the EMA 20, within the green EMA band, the RSI is not oversold, and MACD confirms bearish momentum (MACD line below the signal line).
- Volume Confirmation : The indicator uses a volume-based filter to ensure the trade is backed by sufficient market participation.
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Usage :
- Best for Scalping : This strategy is designed for short-term trades ( scalping ) and can be applied to any time frame, though it works best on intraday charts, such as 5-minute or 15-minute charts.
- Ideal for Trend-Following : With the use of EMAs and MACD, the strategy is best suited for markets that exhibit clear trends. It helps to avoid whipsaw trades and focuses on capturing medium-term trends.
- Risk Management : By using RSI, MACD, and volume analysis together, this strategy reduces the likelihood of entering a trade in an overextended market, which helps with risk management.
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Alerts and Signals :
- Long Signals : When all conditions are met for a long trade, a green label appears below the price bar, indicating a potential buy opportunity. An alert is also generated, notifying the user.
- Short Signals : When all conditions are met for a short trade, a red label appears above the price bar, indicating a potential sell opportunity. An alert is also generated, notifying the user.
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This combination of EMA , RSI , MACD , and volume-based filters creates a balanced approach to scalping, ensuring that traders receive clear, actionable entry signals with trend confirmation, while avoiding overbought and oversold conditions that may lead to false signals. The indicator is designed to help traders confidently identify high-probability trades while maintaining simplicity and clarity in its setup.
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.
Multi-Indicator Signals with Selectable Options by DiGetMulti-Indicator Signals with Selectable Options
Script Overview
This Pine Script is a multi-indicator trading strategy designed to generate buy/sell signals based on combinations of popular technical indicators: RSI (Relative Strength Index) , CCI (Commodity Channel Index) , and Stochastic Oscillator . The script allows you to select which combination of signals to display, making it highly customizable and adaptable to different trading styles.
The primary goal of this script is to provide clear and actionable entry/exit points by visualizing buy/sell signals with arrows , labels , and vertical lines directly on the chart. It also includes input validation, dynamic signal plotting, and clutter-free line management to ensure a clean and professional user experience.
Key Features
1. Customizable Signal Types
You can choose from five signal types:
RSI & CCI : Combines RSI and CCI signals for confirmation.
RSI & Stochastic : Combines RSI and Stochastic signals.
CCI & Stochastic : Combines CCI and Stochastic signals.
RSI & CCI & Stochastic : Requires all three indicators to align for a signal.
All Signals : Displays individual signals from each indicator separately.
This flexibility allows you to test and use the combination that works best for your trading strategy.
2. Clear Buy/Sell Indicators
Arrows : Buy signals are marked with upward arrows (green/lime/yellow) below the candles, while sell signals are marked with downward arrows (red/fuchsia/gray) above the candles.
Labels : Each signal is accompanied by a label ("BUY" or "SELL") near the arrow for clarity.
Vertical Lines : A vertical line is drawn at the exact bar where the signal occurs, extending from the low to the high of the candle. This ensures you can pinpoint the exact entry point without ambiguity.
3. Dynamic Overbought/Oversold Levels
You can customize the overbought and oversold levels for each indicator:
RSI: Default values are 70 (overbought) and 30 (oversold).
CCI: Default values are +100 (overbought) and -100 (oversold).
Stochastic: Default values are 80 (overbought) and 20 (oversold).
These levels can be adjusted to suit your trading preferences or market conditions.
4. Input Validation
The script includes built-in validation to ensure that oversold levels are always lower than overbought levels for each indicator. If the inputs are invalid, an error message will appear, preventing incorrect configurations.
5. Clean Chart Design
To avoid clutter, the script dynamically manages vertical lines:
Only the most recent 50 buy/sell lines are displayed. Older lines are automatically deleted to keep the chart clean.
Labels and arrows are placed strategically to avoid overlapping with candles.
6. ATR-Based Offset
The vertical lines and labels are offset using the Average True Range (ATR) to ensure they don’t overlap with the price action. This makes the signals easier to see, especially during volatile market conditions.
7. Scalable and Professional
The script uses arrays to manage multiple vertical lines, ensuring scalability and performance even when many signals are generated.
It adheres to Pine Script v6 standards, ensuring compatibility and reliability.
How It Works
Indicator Calculations :
The script calculates the values of RSI, CCI, and Stochastic Oscillator based on user-defined lengths and smoothing parameters.
It then checks for crossover/crossunder conditions relative to the overbought/oversold levels to generate individual signals.
Combined Signals :
Depending on the selected signal type, the script combines the individual signals logically:
For example, a "RSI & CCI" buy signal requires both RSI and CCI to cross into their respective oversold zones simultaneously.
Signal Plotting :
When a signal is generated, the script:
Plots an arrow (upward for buy, downward for sell) at the corresponding bar.
Adds a label ("BUY" or "SELL") near the arrow for clarity.
Draws a vertical line extending from the low to the high of the candle to mark the exact entry point.
Line Management :
To prevent clutter, the script stores up to 50 vertical lines in arrays (buy_lines and sell_lines). Older lines are automatically deleted when the limit is exceeded.
Why Use This Script?
Versatility : Whether you're a scalper, swing trader, or long-term investor, this script can be tailored to your needs by selecting the appropriate signal type and adjusting the indicator parameters.
Clarity : The combination of arrows, labels, and vertical lines ensures that signals are easy to spot and interpret, even in fast-moving markets.
Customization : With adjustable overbought/oversold levels and multiple signal options, you can fine-tune the script to match your trading strategy.
Professional Design : The script avoids clutter by limiting the number of lines displayed and using ATR-based offsets for better visibility.
How to Use This Script
Add the Script to Your Chart :
Copy and paste the script into the Pine Editor in TradingView.
Save and add it to your chart.
Select Signal Type :
Use the "Signal Type" dropdown menu to choose the combination of indicators you want to use.
Adjust Parameters :
Customize the lengths of RSI, CCI, and Stochastic, as well as their overbought/oversold levels, to match your trading preferences.
Interpret Signals :
Look for green arrows and "BUY" labels for buy signals, and red arrows and "SELL" labels for sell signals.
Vertical lines will help you identify the exact bar where the signal occurred.
Tips for Traders
Backtest Thoroughly : Before using this script in live trading, backtest it on historical data to ensure it aligns with your strategy.
Combine with Other Tools : While this script provides reliable signals, consider combining it with other tools like support/resistance levels or volume analysis for additional confirmation.
Avoid Overloading the Chart : If you notice too many signals, try tightening the overbought/oversold levels or switching to a combined signal type (e.g., "RSI & CCI & Stochastic") for fewer but higher-confidence signals.
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.
MACD+ Divergences [CryptoSmart] By IgnotusIndicator Description: MACD+ Divergence
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Overview
The MACD+ Divergence is an enhanced version of the classic MACD (Moving Average Convergence Divergence) indicator, meticulously crafted by CryptoSmart. This proprietary tool integrates advanced divergence detection, Top Dog Trading MOM (Momentum) and DAD (Direction as Decision) variations, and unique background shading to provide traders with a comprehensive view of market momentum, trend direction, and potential reversals.
This indicator is not just a standard MACD; it incorporates a unique configuration aligned with a proprietary trading strategy developed by CryptoSmart. Its settings and code are restricted to preserve the integrity and effectiveness of the strategy. Traders can leverage this powerful tool to identify high-probability trade setups without constantly monitoring the charts.
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Key Features
- Proprietary MACD Calculation:
- MACD line calculated using user-defined fast, slow, and signal lengths.
- Supports both Exponential Moving Averages (EMA) and Simple Moving Averages (SMA).
- Includes optimized settings for Top Dog Trading MOM and DAD variations for structured momentum and directional analysis.
- Dynamic Coloring:
- MACD histogram changes color dynamically based on its direction and position relative to the zero line:
- Green/Lime: Increasing momentum above the zero line.
- Red/Maroon: Decreasing momentum below the zero line.
- MACD line and signal line adapt their colors to reflect directional trends.
- Background Shading:
- Background color highlights key conditions:
- Lime: Bullish momentum or upward DAD direction.
- Red: Bearish momentum or downward DAD direction.
- Provides an intuitive visual cue for market sentiment.
- Advanced Divergence Detection:
- Identifies regular and hidden divergences in:
- MACD Histogram.
- MACD Line.
- MOM (Momentum).
- DAD (Direction as Decision).
- Regular divergences indicate potential trend reversals, while hidden divergences suggest trend continuation.
- Divergences are plotted as lines and labeled with clear markers (`R` for regular and `H` for hidden).
- Customizable Inputs:
- Enable or disable specific features, such as:
- Displaying regular or hidden divergences.
- Showing divergence labels.
- Using Top Dog Trading MOM and DAD variations.
- Adjustable offset for divergence markers ensures realistic entry points.
- Comprehensive Alert System:
- Alerts notify traders of key events, including:
- MACD line crossing the signal line.
- Divergence formations (regular and hidden).
- Changes in DAD direction (upward or downward).
- Alerts ensure traders don’t miss critical trading opportunities.
- Unique Configuration:
- Built with a proprietary configuration integrating a proven trading strategy.
- Parameters and logic are fine-tuned to deliver precise signals.
- Restricted code ensures alignment with the proprietary strategy.
- Aesthetic Enhancements:
- Clean and professional design with customizable colors and line styles.
- Optional histogram outlines for better visibility.
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How It Works
1. MACD Calculation:
- MACD line = Difference between fast and slow moving averages.
- Signal line = Smoothed version of the MACD line.
- Histogram = Difference between the MACD line and signal line.
2. Divergence Logic:
- Fractals identify local highs and lows in the MACD histogram, MACD line, MOM, and DAD.
- Regular divergences occur when price makes a higher high/lower low, but the MACD indicator does not confirm the move.
- Hidden divergences occur when price makes a lower high/higher low, but the MACD indicator confirms the trend continuation.
3. Background Shading:
- Background color changes based on the direction of the MACD histogram or DAD line, providing a quick visual reference for market bias.
4. Alerts:
- Alerts trigger when specific conditions are met, such as divergences forming or the MACD line crossing the signal line.
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Inputs
- Standard MACD Settings:
- Fast Length: Default = 12
- Slow Length: Default = 26
- Signal Smoothing: Default = 9
- Top Dog Trading Settings:
- Fast Length: Default = 5
- Slow Length: Default = 20
- Signal Smoothing: Default = 30
- Visualization Options:
- Enable/Disable Top Dog Trading MOM and DAD.
- Show regular or hidden divergences.
- Display divergence labels.
- Background shading for momentum/direction.
- Offset Adjustment:
- Adjust divergence markers to align with realistic entry points.
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Usage
- Trend Reversals:
- Use regular divergences to identify potential trend reversals.
- Trend Continuation:
- Use hidden divergences to confirm ongoing trends.
- Entry/Exit Points:
- Combine divergence signals with MACD crossovers for precise entry and exit points.
- Market Sentiment:
- Monitor background shading to gauge overall market bias.
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Tips for Traders
Combine with Other Indicators:
- Use this indicator alongside support/resistance levels, candlestick patterns, or volume analysis for confirmation.
Adjust Parameters:
- Experiment with different fast, slow, and signal lengths to suit your trading style and timeframe.
Focus on Divergences:
- Pay close attention to divergence signals, as they often precede significant price movements.
Use Alerts:
- Enable alerts to stay informed about key events without constantly monitoring the chart.
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Why Choose MACD+ Divergence ?
This indicator stands out due to its unique integration of a proprietary trading strategy, ensuring reliable and actionable signals. The inclusion of Top Dog Trading MOM and DAD variations adds precision, while the advanced divergence detection and alert system make it an indispensable tool for traders seeking an edge in the markets.
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Restrictions
To maintain the integrity and effectiveness of the MACD+ Divergence , its configuration and code are restricted. This ensures alignment with the proprietary strategy developed by CryptoSmart, delivering consistent and accurate results.
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Conclusion
The **MACD+ Divergence ** is a cutting-edge tool that combines traditional MACD analysis with advanced divergence detection and proprietary enhancements. Its unique configuration and restricted code ensure it remains a powerful and reliable resource for traders. Whether you’re looking for trend reversals, continuations, or overall market sentiment, this indicator provides the insights needed to make informed trading decisions.
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Disclaimer
This indicator is for educational and informational purposes only. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and consult with a financial advisor before making trading decisions.
Moneyball EMA-MACD indicator [VinnieTheFish]Summary of the Moneyball EMA-MACD Indicator Script
Author: VinnieTheFish
Purpose:
This indicator helps traders identify trend direction, momentum shifts, and potential trade signals based on EMA and MACD crossovers.
This Pine Script is a custom indicator that combines Exponential Moving Averages (EMAs) and MACD (Moving Average Convergence Divergence) to analyze price trends and momentum. The script uses a custom 9/50 MACD with a 16 smoothing period. The script is written in a way that you can create your own custom MACD settings and create alerts based on those parameters. The chart bars are color coded based on the relative position of the MACD and Signal line primarily for bullish long trade setups.
Bar color coding helps the trader spot potential reversals based on where the price currently resides in relation to the custom 9/50 EMA based MACD and the 16 period smoothing period for the signal line. Indicator also has custom alerts to notify the trader when a potential trade setup exists that correspond with the bar color change.
Question: So why is this called the Moneywell EMA-MACD Indicator?
Answer: In the movie Moneyball the Oakland A's broke down how to win a championship based on data. To make the playoffs you needed so many wins, then broken down by runs and then broken down to base hits. A base hit was good as a walk. With trading often times we look too often for home runs and ignore the importance of getting on base with small wins. This indicator was designed on shorter timeframes to identify those base hits, but can also be adapted to higher timeframes for swing trading.
Key Features:
User Inputs:
Configurable fast and slow lengths for MACD calculation.
Choice between SMA and EMA for oscillator and signal line smoothing.
Customizable signal smoothing length.
EMA Calculation:
Computes 3 EMA, 9 EMA, 20 EMA, and 50 EMA to track short-term and long-term trends.
MACD Calculation:
Computes MACD using either SMA or EMA based on user selection.
Generates the MACD signal line for comparison.
Crossover Conditions:
Detects MACD and Signal line crossovers above and below the zero line.
Identifies price momentum shifts.
Bar Coloring Logic:
Green: MACD is above 0 and above the signal line.
White: MACD is below the signal line.
Orange: MACD is below 0 but above the signal line.
Fuchsia: Bullish EMA 3/9 cross but price is still below the 20/50 EMA.
Alerts for Key Trading Signals:
MACD crossing above/below the zero line.
Signal line crossing above/below the zero line.
MACD reaching new highs/lows.
Alerts for colored bar conditions.
US10Y Yield Range Percentile | JeffreyTimmermansUS10Y Yield Range Percentile
The "US10Y Yield Range Percentile" Indicator provides insights into the relative positioning of the U.S. 10-Year Treasury Yield (US10Y) within a specified lookback period. It highlights key valuation style conditions, helping traders assess market sentiment based on yield movements.
Why is the US 10-Year Treasury Yield Important?
The U.S. 10-Year Treasury Yield (US10Y) is one of the most critical benchmarks in global finance. It reflects the cost of borrowing for the U.S. government and serves as a risk-free rate that influences interest rates across the economy.
Macroeconomic Indicator:
Rising yields suggest strong economic growth or inflationary pressures, often leading to tighter monetary policy.
Falling yields indicate economic slowdown, deflationary risks, or increased demand for safe-haven assets.
Impact on Financial Markets:
Stock Market: Higher yields reduce the attractiveness of equities, while lower yields support risk assets.
Credit Markets: A rising 10-year yield increases borrowing costs, impacting corporate debt and mortgage rates.
Global Capital Flows: US10Y is a key driver of capital allocation worldwide, affecting currency valuations and capital flows into emerging markets.
Correlation with Risk Assets (Especially Crypto):
Crypto markets, particularly Bitcoin and Ethereum, have shown a strong inverse correlation with US10Y yields.
When yields rise, risk assets tend to sell off due to tighter financial conditions.
When yields decline, liquidity flows into speculative assets, boosting stocks, crypto, and growth sectors.
Key Functions of the Indicator
Range Calculation:
Computes the highest high and lowest low over a user-defined period (default: 63 days).
Measures the current yield’s position within this range.
Range Percentile Calculation:
Determines the percentile rank of the current yield within its range.
A higher percentile indicates higher yields, often associated with Risk OFF conditions.
A lower percentile suggests lower yields, signaling Risk ON sentiment.
Optional Smoothing:
Enable/Disable: Users can enable Simple Moving Average (SMA) smoothing to reduce noise.
Default smoothing length : 10 periods (can be customized).
Threshold Levels & Background Coloring:
The background color represents the current market regime (valuation based), based on the US10Y yield percentile:
Risk ON (Bullish): When the percentile falls below the lower threshold (default: 20).
Neutrally Positive Zone (also Risk ON): Between 20 and 80 percentile.
Risk OFF (Bearish): When the percentile rises above the upper threshold (default: 80).
Important : Background Coloring is NOT a Leading Signal.
The background color provides a visual representation of valuation periods, but it is not a leading indicator for price movements. Instead, traders should focus on the orange US10Y Range Percentile line, which is the key signal within this indicator. The colors behind the line below the chart are leading. The background colors behind the price chart are more of a valuation style indications.
When the orange line enters the Danger Zone (above 80 percentile), it signals that yields are elevated, and risk assets (such as stocks and crypto) are at increased risk of reversing downward.
While the background coloring helps to visualize market conditions, price reversals tend to occur when the percentile line is in extreme zones rather than when the background color changes.
Traders should monitor the percentile line closely, as it provides a clearer signal of potential shifts in market sentiment.
Visual Elements
Range Percentile Plot:
Displays the smoothed or raw percentile value over time.
Helps identify shifts in yield positioning.
Threshold Markers & Fill Zones:
Key percentile thresholds (0, 20, 80, 100) are marked with horizontal lines.
The area between 20-80 percentile is filled to indicate the neutral zone.
Extreme zones are highlighted to emphasize significant shifts in risk sentiment.
Dynamic Labeling:
A real-time percentile label appears next to the latest data point.
Alerts & Notifications
Risk OFF to Risk ON Transition:
Alert triggers when the percentile falls below the lower threshold (yields decreasing).
Risk ON to Risk OFF Transition:
Alert triggers when the percentile rises above the upper threshold (yields increasing).
Conclusion
The crypto market is highly sensitive to macroeconomic conditions, with Bitcoin often behaving like a high-beta tech stock.
A declining US10Y yield signals looser financial conditions, increasing demand for risk assets like crypto.
A rising US10Y yield tightens liquidity, leading to sell-offs in Bitcoin, Ethereum, and altcoins.
Tracking the US10Y percentile position helps traders anticipate market shifts before they occur.
This indicator serves as a leading signal for understanding market risk appetite by tracking Treasury yield movements. A decline in yields typically favors equities and risk assets, while rising yields indicate a shift toward safety and risk aversion.
Credits
This indicator was inspired by and builds upon the work of TomasOnMarkets . While incorporating significant enhancements, it acknowledges the foundational concepts provided by this original source. Thank you for sharing your input on this important indicator. We are honored to use it and to further improve upon it.
-Jeffrey
Cognitive Echo IndexCognitive Echo Index – User Guide
Overview
The Cognitive Echo Index is a composite indicator that combines several technical aspects—including price deviation from a moving average, normalized volatility (via ATR), and volume variations—to create a single numeric value. The output is scaled between -100 and +100, offering insights into market momentum and potential trend reversals.
How It Works
Price Component:
The indicator calculates the percentage change between the current price and its 14-period simple moving average (SMA). This helps identify how far the price deviates from its recent trend.
Volatility Component:
Using the Average True Range (ATR) over a 14-period, the script normalizes current ATR against its 14-period SMA. This shows relative volatility, highlighting unusual market activity.
Volume Component:
It computes the percentage change between the current volume and its 14-period SMA to detect spikes or drops in trading activity.
Composite Calculation:
The three components are summed together to produce the final index value, which is then clipped to remain between -100 and +100.
Interpreting the Indicator
Indicator Value Scale:
Positive Values (0 to +100):
Suggest that bullish forces are stronger. Higher values (e.g., above +50) could indicate a strong bullish sentiment.
Negative Values (0 to -100):
Indicate bearish pressures. Lower values (e.g., below -50) may signal strong bearish conditions.
Zero Level:
The midline indicates a balanced market condition with no dominant trend.
Key Horizontal Levels:
+50 Level:
When the indicator crosses above +50, it can be interpreted as a strong bullish signal.
-50 Level:
When the indicator crosses below -50, it can be considered a strong bearish signal.
Usage Tips
Confirmation Tool:
Use the Cognitive Echo Index as an additional confirmation tool in conjunction with other technical indicators or chart patterns to make more informed trading decisions.
Parameter Adjustments:
The script uses a 14-period setting for the moving average, ATR, and volume SMA by default. Depending on your trading timeframe or asset, consider tweaking these periods for better sensitivity.
Trend Analysis:
Watch how the indicator behaves during major price moves. A divergence between the index and the price trend (e.g., price rises while the index falls) may suggest a potential reversal or a false breakout.
Risk Management:
Always incorporate sound risk management practices. Use stop losses and position sizing rules, and consider the indicator as one part of your overall trading strategy.
Customization
Adjusting the Weights:
Although the current version gives equal weight to all three components, advanced users can modify the script to apply different weights to the price, volatility, and volume components based on historical performance or specific market conditions.
Adding Additional Inputs:
Future versions could incorporate external sentiment data or other technical factors if accessible. For now, the indicator focuses on technical inputs available directly within TradingView.
By following this guide, traders can integrate the Cognitive Echo Index into their TradingView platform to gain a unique perspective on market momentum and potential turning points. Enjoy testing and refining the indicator to better suit your trading style!
Ultimate Market Rhythm Scanner FXReady to feel like a chart-wielding wizard? The Ultimate Market Rhythm Scanner FX is here to supercharge your Forex analysis by piping in multi-timeframe goodness from up to 10 OANDA currency pairs. You’ll see structure breakouts, Ichimoku signals, MACD pulses, RSI/Bollinger momentum waves, and candlestick patterns—all at once.
Think of it as your own personal mission control dashboard, scanning the FX galaxy and beaming back color-coded signals so you know instantly where the market action is hottest. Remember, to keep the data aligned, you’ll want to load this indicator on an OANDA FX pair chart (like OANDA:EURUSD) so everything lines up perfectly behind the scenes.
Key Features
Market Structure Wizardry
Locates pivot highs and lows (Higher High, Lower Low, etc.)
Spots breakouts above/below these pivots
Shouts out “CHoCH” (Change of Character) when structure flips from bullish to bearish (or vice versa)
If you want to understnd more about the market structure logic in this script check out my other script, it uses the same logic:
Tracks price above/below the Ichimoku Cloud
Flags Tenkan/Kijun crosses for bullish or bearish setups
MACD & SMI Insights
MACD line vs. Signal Cross & crossing the Zero line
SMI crosses in overbought/oversold “zones” (because pure oscillator mania is cool)
Momentum Radar
Mashes up RSI + Bollinger + Ichimoku for either “Bullish,” “Bearish,” or “Neutral”
Also checks a separate Daily timeframe for cosmic perspective
Candlestick Pattern Goodness
Detects common candle formations (Hammer, Hanging Man, Marubozu, etc.)
Tells you exactly how many bars ago they flashed their signals
Time Fade Magic
Recent signals shine bright
Older signals fade out like invisible ninjas after a user-defined number of bars
Explanation of Settings
Below lies the control panel for your new chart-snooping sidekick:
Symbol Settings (Symbol 1...Symbol 10)
Select multiple FX OANDA pairs (like OANDA:AUDUSD).
Each pair spawns a new column in the scanner table.
Ensure your chart is also set to an OANDA pair—the script only speaks “OANDA.”
Ichimoku Settings
Use Ichimoku Filter: Toggles everything Ichimoku.
conversionPeriods, basePeriods, laggingSpan2Periods, displacement: The classic Ichimoku parameters to mold your cloud magic.
Pivot Logic
Pivot Source: Wicks vs. Closes for pivot detection.
BOS Confirmation: If you prefer breakouts confirmed by wicks or closes.
Left Swing Length: Bars left for pivots.
Right Swing Length High / Low: Bars right for pivot confirmation.
Invert Right Swing in Bearish Trend: Auto-flip logic when gloom takes over. This means right swing size high value will become right swing size low value in a bearish trend (determined by latest CHoCH).
RSI & Bollinger
RSI Period: The heartbeat of RSI.
RSI Overbought / Oversold: Thresholds for RSI mania.
BB Length / StdDev: The Bollinger band radius for measuring price expansions.
MACD
fastLength, slowLength, signalLength: The trifecta that shapes your MACD wave.
SMI Settings
Nested variables for SMI’s K, D, and EMA lengths.
Overbought and Oversold levels for zone detection.
Time Display Settings
Fade out old signals: Turn the fade effect on/off.
Fade After X Bars: The number of bars after which signals do a ghost trick.
Fade Transparency: How ghostly (0–100) those old signals become.
Table Settings
Show Table: Summon or banish the entire scanner table.
Table Position: Choose the quadrant for your new data-loving sidekick.
Table Text Size: Big or small text for those crucial signals.
Table Layout
With “Show Table” on, a futuristic readout appears, listing:
Columns: Each symbol’s name runs across the top (up to 10).
Rows: A row for each technical aspect, such as:
Last Pivot (pivot) – The most recent pivot type (HH, HL, LH, LL) and how many bars ago.
Last CHoCH – Crows “▲/▼ X bars ago” if structure reversed.
Ichi Cloud (ichi) – Tells you if price soared above or dived below the Cloud.
Multi Mom D (momentum_d) – A daily momentum label (Bullish/Bearish/Neutral). It shows you daily momentum even on times frames lower than the daily. Multi Mom D is not reliable if the chart is on a time frame higher than the daily.
Multi Mom (momentum) – Current timeframe momentum label.
SMI ZONE (smizone) – If SMI’s in a bullish or bearish zone.
MACD 0 LINE (macdzero) – Number of bars since crossing zero.
SMI CROSS (smicross) – A bullish or bearish cross in overbought/oversold territory.
TK Cross (tk) – Tenkan/Kijun cross and how many bars ago.
MACD Cross (macd) – MACD crossing above/below its signal line.
Last Pattern (lastpat) – The candle pattern found and bars since it popped.
Pattern (pattype) – The name of that pattern (Hammer, Hanging Man, etc.).
Each cell can be tinted in a blue-ish glow for bullish vibes, or a purple shade for bearish signals. The “bars ago” text helps you see how fresh the signal is—fewer bars = more relevant.
Usage Notes
OANDA Chart is King
Always apply this indicator on an OANDA-based chart (e.g., OANDA:GBPJPY). If you deviate, the script might not retrieve data properly from the OANDA feed.
Symbol List
For each of the symbols inputs, pick your favorite currency crosses (all from the OANDA universe).
Timeframes
The script runs on your current chart’s timeframe for near-term action.
It simultaneously checks the daily timeframe to measure high-level momentum.
Fade-Out Feature
By default, signals older than 5 bars fade out. Adjust in “Time Display Settings” if you want them to linger.
Confluence is King
If a pivot breakout, bullish Ichimoku cross, and an SMI overbought cross all light up at once, you might have a short-term rocket on your hands. Always confirm with your trading plan!
Summary
Embrace your inner data nerd with the Market Rhythm Scanner FX—the ultimate multi-asset intelligence platform for OANDA Forex pairs. From subtle pivot changes to daily momentum shifts, from candle patterns to MACD fireworks, it’s all consolidated into one easy-to-digest control panel.
Step 1: Load up an OANDA chart (like “OANDA:EURUSD”).
Step 2: Enter your chosen OANDA pairs under “Symbol Settings.”
Step 3: Geek out over the instant real-time multi-indicator table, letting you see which instruments are sizzling or fizzling.
No more frantic tab-hopping. Save your mental bandwidth for the big decisions.
Let the Ultimate Market Rhythm Scanner FX be your ever-watchful sidekick, scanning the charts so you can conquer the Forex battlefield like the tech-savvy champion you are!
This script is free to use at present, but I reserve the right to move it behind a paywall in the future.
Dynamic RSI Price Levels (Multi-Timeframe)This indicator dynamically calculates the nearest price levels where RSI (14) reaches 70 (Overbought) and 30 (Oversold) across multiple timeframes. It helps traders identify potential reversal zones and key support/resistance levels based on RSI behavior.
📌 Key Features:
✔ Multi-Timeframe Support: Calculates RSI-based price levels across 1min to 1M (monthly) timeframes.
✔ Dynamic Overbought (OB) & Oversold (OS) Levels: Automatically finds the nearest price where RSI = 70 (OB) and RSI = 30 (OS).
✔ Customizable RSI Settings: Users can adjust RSI length for more flexibility.
✔ Customizable Display: Adjustable line style, thickness, and colors for OB/OS levels.
✔ Clear Labels: Displays RSI timeframe and level directly on the chart.
🛠 How to Use:
Enable preferred timeframes and set RSI parameters.
The script will plot the closest OB (RSI 70) and OS (RSI 30) price levels automatically.
Labels show the timeframe and RSI level for better clarity.
⚠ Note:
For technical analysis only, not financial advice.
Too many enabled timeframes may clutter the chart—enable only needed ones.
🚀 Perfect for:
✔ Identifying Overbought & Oversold Zones
✔ Tracking RSI-Based Support & Resistance Levels
✔ Analyzing Market Conditions Across Timeframes
