Strategy with Volume, MACD, RSI, StochRSIExplanation:
MACD: Used to identify momentum and trend direction.
RSI: Used to identify overbought/oversold conditions.
StochRSI: A more sensitive version of RSI, used to confirm RSI signals.
Volume Spike: Ensures trades are taken only when volume is above a threshold, indicating strong interest.
How to Use:
Copy and paste the code into the Pine Script editor in TradingView.
Add it to the BTCUSDT.P chart on Binance.
Backtest the strategy on historical data to evaluate its performance.
Adjust the input parameters to optimize the strategy for your trading style.
Notes:
This is a basic strategy and may not perform well in all market conditions.
Always backtest and forward-test strategies before using them with real money.
Consider adding risk management features like stop-loss and take-profit levels.
Centered Oscillators
RSI & DPO support/resistanceThis indicator combines the Relative Strength Index (RSI) to identify overbought and oversold conditions with the Detrended Price Oscillator (DPO) to highlight support and resistance levels.
Unlike traditional indicators that display these metrics in a separate window, this tool integrates them directly onto the main price chart.
This allows for a more cohesive analysis, enabling traders to easily visualize the relationship between price movements and momentum indicators in one unified view.
How to Use It:
Identify Overbought and Oversold Conditions:
Look for RSI values above 70 to identify overbought conditions, suggesting a potential price reversal or pullback. Conversely, RSI values below 30 indicate oversold conditions, which may signal a potential price bounce or upward movement.
Analyze Support and Resistance Levels:
Observe the DPO lines on the main chart to identify key support and resistance levels. When the price approaches these levels, it can provide insights into potential price reversals or breakouts.
Combine Signals for Trading Decisions:
Use the RSI and DPO signals together to make informed trading decisions. For example, if the RSI indicates an overbought condition while the price is near a resistance level identified by the DPO, it may be a good opportunity to consider selling or taking profits.
Monitor Divergences:
Watch for divergences between the RSI and price movements. If the price is making new highs while the RSI is not, it could indicate weakening momentum and a potential reversal.
Set Alerts:
Consider setting alerts for when the RSI crosses above or below the overbought or oversold thresholds, or when the price approaches significant support or resistance levels indicated by the DPO.
Practice Risk Management:
Always use proper risk management techniques, such as setting stop-loss orders and position sizing, to protect your capital while trading based on these indicators.
By following these steps, traders can effectively utilize this indicator to enhance their market analysis and improve their trading strategies.
Gold Trading StrategyStrategy Logic:*
1. *Trend Filter:* Uses 50/200 EMA crossovers (common for gold trend identification)
2. *Momentum Confirmation:* MACD crossover system with RSI filter
3. *Volatility Breakout:* Entry on 20-period high/low breaks
4. *Risk Management:* 2% stop-loss and 3% take-profit levels
*Key Features:*
- Visual EMA trend lines
- Dynamic support/resistance levels
- Clear buy/sell signals with alerts
- Integrated risk management
- Works best on 1H-4H timeframes for gold
*Usage Tips:*
1. Apply to XAU/USD charts
2. Best used on 1-hour or 4-hour timeframes
3. Combine with fundamental analysis (USD news, geopolitical events)
4. Adjust stop-loss/take-profit based on volatility (use ATR as reference)
*Optimization Suggestions:*
- Test different EMA combinations (e.g., 100/200)
- Adjust RSI thresholds based on gold's current volatility
- Modify lookback period for support/resistance levels
- Experiment with different timeframes (works best 1H-4H)
Remember to:
- Always forward-test with small positions first
- Adjust parameters during different market regimes
- Combine with gold-specific news analysis
- Monitor USD strength and real yields correlation
Multi-Timeframe Indicators Table with DivergenceThis indicator provides a comprehensive view of key technical indicators across multiple timeframes: Monthly, Weekly, and Daily. It includes the following:
RSI (Relative Strength Index): Shows momentum strength for each timeframe.
MFI (Money Flow Index): Tracks the flow of money into and out of the asset.
CCI (Commodity Channel Index): Identifies overbought or oversold conditions.
BB% (Bollinger Bands Percent): Measures the price relative to Bollinger Bands for volatility analysis.
The indicator also highlights potential divergences between price action and each technical indicator. Divergence is indicated when the price moves in one direction while the indicator moves in the opposite, which could signal a possible trend reversal.
Features:
Multi-timeframe analysis (Monthly, Weekly, Daily & Intraday)
Visual representation of key indicators with colors for easy interpretation
Divergence alerts for trend reversal opportunities
Customizable indicator lengths and colors
Use this tool to analyze price trends, potential reversals, and identify high-probability trading opportunities across different timeframes
Bullish Divergence + Support Levels Custom//@version=5
indicator("Bullish Divergence + Support Levels", overlay=true)
// RSI Calculation
rsiLength = 14
rsi = ta.rsi(close, rsiLength)
// Detect Bullish Divergence
low1 = ta.lowest(low, 5)
low2 = ta.lowest(low, 5)
rsiLow1 = ta.lowest(rsi, 5)
rsiLow2 = ta.lowest(rsi, 5)
// Condition: Price Lower Low but RSI Higher Low (Bullish Divergence)
bullishDivergence = (low1 < low2) and (rsiLow1 > rsiLow2)
// Support Level Detection
supportLevel = ta.lowest(close, 20)
// Moving Averages for Trend Confirmation
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendConfirmation = close > ema50 and ema50 > ema200 // Strong uptrend confirmation
// Price Change % for Early Recovery
change1H = (close - close ) / close * 100 // 1-hour change
change4H = (close - close ) / close * 100 // 4-hour change
earlyRecovery = change1H > 0 or change4H > 0
// Final Buy Signal: Bullish Divergence + Support Level + Trend + Early Recovery
buySignal = bullishDivergence and close >= supportLevel and trendConfirmation and earlyRecovery
// Plot Buy Signal
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="BUY 🚀")
plot(supportLevel, color=color.blue, title="Support Level", linewidth=2)
plot(ema50, color=color.orange, title="50 EMA")
plot(ema200, color=color.red, title="200 EMA")
NQ Trading Indicator 2Buy Signal: Triggered when the MACD line crosses above the signal line and the RSI is below 30, indicating an oversold condition.
Sell Signal: Triggered when the MACD line crosses below the signal line and the RSI is above 70, indicating an overbought condition.
False Breakout Notification: Highlights when MACD and RSI indicate conditions opposing their typical breakout behavior (e.g., RSI is overbought during a bullish crossover or oversold during a bearish crossover).
NQ Trading Indicator for 1 min chartFor 1 minute scalp on NQ.
Buy Signal: Triggered when the MACD line crosses above the signal line and the RSI is below 30, indicating an oversold condition.
Sell Signal: Triggered when the MACD line crosses below the signal line and the RSI is above 70, indicating an overbought condition.
False Breakout Notification: Highlights when MACD and RSI indicate conditions opposing their typical breakout behavior (e.g., RSI is overbought during a bullish crossover or oversold during a bearish crossover).
MACD TAG + MedianMACD TAG and Median with ATR Bands : A Comprehensive Trading Tool
This indicator combines two powerful trading tools: the MACD TAG and the Median with ATR Bands. This synergistic approach provides traders with a multi-faceted view of price action, trend, and volatility, leading to more informed trading decisions.
MACD TAG
The MACD TAG focuses on identifying buy and sell signals based on the MACD (Moving Average Convergence Divergence) oscillator. It highlights crossover events between the smoothed MACD line and the signal line, with a configurable threshold to filter out minor fluctuations. A cooldown period prevents rapid-fire signals, ensuring more reliable entries.
Median with ATR Bands
The Median with ATR Bands provides a clear visual representation of the median price and its volatility. It calculates the median price over a specified period, then draws upper and lower bands based on the Average True Range (ATR) and a customizable multiplier. This helps identify potential support and resistance levels. The Median EMA (Exponential Moving Average) indicates the trend of the median price, offering additional insights into the overall market direction.
Combining the Power of Two
By overlaying these two indicators, traders gain a comprehensive perspective:
Trend Confirmation: MACD TAG buy signals within the upper ATR band can indicate strong upward trends, while sell signals within the lower band suggest downward momentum.
Momentum Strength: A MACD TAG signal coinciding with the median price above its EMA strengthens the signal, indicating powerful upward momentum.
Risk Management: The ATR bands can serve as potential stop-loss levels, helping limit potential losses on trades.
Customization and Optimization
This indicator is highly customizable, allowing traders to tailor it to their specific needs. You can adjust the EMA lengths, ATR multiplier, cooldown period, and other parameters to achieve optimal performance.
Invest SMA|MACD|ADX Long Weekly Strategy (BtTL)Diese Strategie kombiniert drei bewährte technische Indikatoren (SMA, MACD und ADX) für präzise Long-Einstiege auf dem Wochenchart.
Hauptmerkmale:
Einstiegssignale basieren auf einer Kombination aus SMA (30), MACD (9,18,9) und ADX (14)
Intelligentes Stop-Loss-Management durch Swing-Low-Erkennung
Trendbestätigung durch ADX > 25
Optimiert für Wochencharts
Konservatives Risikomanagement durch mehrfache Signalbestätigung
Einstiegsbedingungen:
Kurs über SMA
MACD über Signallinie und im positiven Bereich
ADX zeigt starken Trend (>25)
Ausstiegsstrategie:
Stop-Loss wird automatisch am vorletzten Swing-Low gesetzt
Position wird geschlossen, wenn der Kurs unter den SMA fällt
🇬🇧 English:
This strategy combines three proven technical indicators (SMA, MACD, and ADX) for precise long entries on the weekly chart.
Key Features:
Entry signals based on a combination of SMA (30), MACD (9,18,9), and ADX (14)
Intelligent stop-loss management through swing low detection
Trend confirmation using ADX > 25
Optimized for weekly charts
Conservative risk management through multiple signal confirmation
Entry Conditions:
Price above SMA
MACD above signal line and in positive territory
ADX showing strong trend (>25)
Exit Strategy:
Stop-loss automatically set at second-last swing low
Position closes when price falls below SMA
Two-Pole Oscillator [BigBeluga]
The Two-Pole Oscillator is an advanced smoothing oscillator designed to provide traders with precise market signals by leveraging deviation-based calculations combined with a unique two-pole filtering technique. It offers clear visual representation and actionable signals for smart trading decisions.
🔵Key Features:
Two-Pole Filtering: Smooths out the main oscillator signal to reduce noise, providing a cleaner and more reliable view of market momentum and trend strength.
// Two-pole smooth filter function
f_two_pole_filter(source, length) =>
var float smooth1 = na
var float smooth2 = na
alpha = 2.0 / (length + 1)
if na(smooth1)
smooth1 := source
else
smooth1 := (1 - alpha) * smooth1 + alpha * source
if na(smooth2)
smooth2 := smooth1
else
smooth2 := (1 - alpha) * smooth2 + alpha * smooth1
Deviation-Based Oscillator: Utilizes price deviations from the mean to generate dynamic signals, making it ideal for detecting overbought and oversold conditions.
float sma1 = ta.sma(close, 25)
float sma_n1 = ((close - sma1) - ta.sma(close - sma1, 25)) / ta.stdev(close - sma1, 25)
Signal Gradient Strength: Signals on the main oscillator line feature gradient coloring based on their proximity to the 0 level:
➔ Closer to 0: More transparent, indicating weaker signals.
➔ Closer to 1 or -1: Less transparent, highlighting stronger signals.
Level-Based Signal Validation: Parallel levels are plotted on the chart for each signal:
➔ If a level is crossed by price, the signal is invalidated, marked by an "X" at the invalidation point.
Trend Continuation
Invalidation Levels: Serve as potential stop-loss or trade-reversal zones, enabling traders to make more informed and disciplined trading decisions.
Dynamic Chart Plotting: Signals are plotted directly on the chart with corresponding levels, providing a comprehensive visual representation for easy interpretation.
🔵How It Works:
The oscillator calculates price deviation from a mean value and applies two-pole filtering to smooth the resulting signal.
Gradient-colored signals reflect their strength, with transparency indicating proximity to the 0 level on the oscillator scale.
Buy and sell signals are generated based on crossovers and crossunders of the oscillator line with a signal line.
If a level is crossed, the corresponding signal is marked with a "X" plotted on the chart at the crossover point.
🔵Use Cases:
Detecting overbought or oversold market conditions with a smoother, noise-free oscillator.
Using invalidation levels to set clear stop-loss or trade exit points.
Identifying strong momentum signals and filtering out weaker, less reliable ones.
Combining oscillator signals with price action for more precise trade entries and exits.
This indicator is perfect for traders seeking a refined approach to oscillator analysis, combining signal strength visualization with actionable invalidation levels to enhance trading precision and strategy.
MACD TAGMACD TAG Indicator
The MACD TAG indicator is designed to provide clear and actionable trading signals based on the MACD (Moving Average Convergence Divergence) crossover events. This indicator enhances the traditional MACD by introducing a tagging system that highlights buy and sell signals whenever a crossover occurs, allowing traders to make informed decisions quickly.
MACD RSI Strategy by BiegeThis strategy combines:
• MACD (Lagging Indicator): Confirms trend direction using moving averages.
• RSI (Leading Indicator): Identifies overbought/oversold conditions for potential reversal signals.
Entry Signal: When the MACD confirms a bullish trend (MACD line crosses above the signal line) and the RSI is oversold (below the defined threshold).
Exit Signal: Stop loss, take profit, or a bearish MACD crossover (MACD line crosses below the signal line).
This strategy emphasizes risk management through:
1. Balanced Indicators: Combining a leading and lagging indicator attempts to balance responsiveness and reliability.
2. Position Sizing: Limiting the percentage of capital used per trade controls potential losses on any single trade.
3. Cooldown Period: This helps prevent emotional trading and chasing losses.
4. Stop Loss Orders: Stop losses are crucial for limiting losses if a trade moves against your position.
This strategy is designed to perform best in markets with clear trends and moderate volatility. It's important to be aware of its limitations and avoid using it during:
• Earnings reports or major news events: Fundamental analysis is more appropriate in these situations.
• Extreme bear markets or extended periods of consolidation: MACD can lag significantly during sustained downtrends, and RSI can generate numerous false signals in choppy markets.
• Low-liquidity periods: Low liquidity can lead to slippage and wider spreads, which can negatively impact profitability.
By combining leading (RSI) and lagging (MACD) indicators and emphasizing risk management, this strategy aims to provide a relatively balanced and safer approach to trend following. However, no trading strategy can guarantee profits, and all trading involves risk. It's essential to understand the risks involved and to trade responsibly.
4 EMA & MACDThe indicator that combines Moving Average and MACD into one is very useful for providing a more complete picture of the market. Here's how it works:
Moving Average (MA): This is a trend indicator that smooths the price to show the dominant trend direction. MA helps traders determine whether the market is in an uptrend, downtrend, or sideways. For example, if the price is above the MA, it might indicate an uptrend, while if the price is below the MA, it might indicate a downtrend.
MACD (Moving Average Convergence Divergence): MACD measures market momentum and can provide entry and exit signals based on the difference between two moving averages (fast MA and slow MA). A buy signal occurs when the MACD crosses above the signal line, and a sell signal occurs when the MACD crosses below the signal line.
Combining both gives traders a more complete view:
MA provides an overview of the larger trend direction.
MACD helps identify moments when momentum supports a position for entering or exiting.
Common usage:
Entry: If the price is above the Moving Average (uptrend) and the MACD shows a buy signal (for example, MACD crossing above the signal line), it can be a signal to buy.
Exit: If the price starts moving below the MA and the MACD shows a sell signal, it can be a signal to sell or exit the position.
There is an indicator called MACD + Moving Average Cross, which combines both elements, providing stronger signals and making it easier to follow the market.
MACD-Based Strategy inspired by Saud and ShakyaThis strategy uses the classic MACD crossover approach to generate buy and sell signals:
- Buy Signal: Triggered when the MACD Line crosses above the Signal Line, indicating bullish momentum.
- Sell Signal: Triggered when the MACD Line crosses below the Signal Line, signaling bearish momentum.
The strategy is based on research by Arjun Singh Saud and Subarna Shakya (2024), which highlights the MACD's effectiveness in predicting trading signals. Their work explores enhancing classical MACD signals using machine learning models to reduce false signals and improve decision-making accuracy. While this implementation focuses on the traditional crossover logic, it serves as a solid foundation for both beginners and experienced traders.
I will enhance the strategy in the future, adding a Stop-Loss management as well as the possibility to take Short positions as their is some potential in it.
This Strategy is the first of a series of strategies I want to publish based on research papers, so if you are interested in seeing more scientificaly researched strategies being brought into day light give me a follow.
MACD DashboardThe MACD Dashboard is an addition to my collection of various dashboards that are designed to help traders make wiser decisions.
How to Use MACD Dashboard:
Timeframe Selection: Based on your trading style and preferences, choose the relevant timeframes. In the settings, enable or disable timeframes to focus on the most relevant ones for your strategy.
Dashboard Interpretation: The MACD Dashboard displays green (🟢) and red (🔴) symbols to indicate when the MACD is in green or in the red zone. You can also leverage the MACD values on the dashboard to better interpret sentiment and its changes.
Confirmation and Strategy: Consider MACD Dashboard signals as confirmation for your trading strategy. For instance, in an uptrend, look for long opportunities when the dashboard displays consistent green symbols. Conversely, in a downtrend, focus on short opportunities when red symbols dominate.
Risk Management: As with any indicator, use the MACD Dashboard in conjunction with proper risk management techniques. Avoid trading solely based on indicator signals; instead, integrate them into a comprehensive trading plan.
RSI/MACD Momentum ScalperThe RSI/MACD Momentum Scalper is a technical analysis tool designed to identify market momentum and provide actionable buy, sell, and take-profit signals by combining the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) indicators. This script uses a color-coded candle system to visually highlight trend strength and direction, making it particularly useful for scalpers and short-term traders who seek clarity and precision.
How It Works
This indicator operates on two core momentum principles: the RSI and MACD. Here's a breakdown of how it combines these components to deliver unique insights:
Relative Strength Index (RSI):
Measures the strength of price movements on a scale from 0 to 100.
A bullish trend is identified when the RSI is above 50, indicating upward momentum.
A bearish trend is identified when the RSI is below 50, signaling downward momentum.
Moving Average Convergence Divergence (MACD):
Compares two moving averages (Fast and Slow) of the price to measure trend momentum.
Generates a bullish signal when the MACD line is above the Signal line.
Generates a bearish signal when the MACD line is below the Signal line.
The indicator allows the user to select the type of moving average (EMA, DEMA, or HMA) for further customization.
Combined Momentum Analysis:
Green candles (strong bullish signal) : When both the RSI is above 50 and the MACD line is above the Signal line.
Red candles (bearish signal): When both the RSI is below 50 and the MACD line is below the Signal line.
Light grey candles (neutral signal): When only one of the conditions is true, indicating indecisiveness in market momentum.
Buy/Sell Signals:
Buy Signal: Triggered when the conditions for a bullish trend are newly met (both RSI > 50 and MACD > Signal line).
Sell Signal: Triggered when the conditions for a bearish trend are newly met (both RSI < 50 and MACD < Signal line).
Take-Profit Signals (Optional):
Highlights opportunities to exit a trade when a trend reverses:
Take-profit bullish: When a bullish trend ends.
Take-profit bearish: When a bearish trend ends.
How to Use the Indicator
Customization Options:
Trend Timeframe: Set a specific timeframe for trend analysis (e.g., 1h, 4h, 1D).
RSI Settings: Adjust the RSI length to match your trading strategy.
MACD Settings: Customize the Fast, Slow, and Signal lengths to suit market conditions.
Moving Average Type: Choose between EMA, DEMA, or HMA for the MACD calculation.
Colors: Select the colors for bullish, bearish, and neutral candles to match your preferences.
Signals and Visualization:
Enable or disable Buy/Sell Signals and Take-Profit Signals through the settings.
Use the color-coded candles to quickly assess trend direction and momentum strength:
Green: Strong upward momentum.
Red: Strong downward momentum.
Light Grey: Neutral or indecisive market.
The plotted buy (triangle up) and sell (triangle down) signals assist in identifying entry points, while take-profit (square) signals help secure gains during trend reversals.
What Makes It Unique
Integrated Approach: Combines two of the most widely-used momentum indicators (RSI and MACD) into a single tool, offering a clear, cohesive analysis of market trends.
Candle-Based Visualization: Changes the candle colors to reflect momentum, eliminating the need to constantly check separate indicator panels.
Customizability: Provides advanced options such as timeframe selection, MA type, and user-defined settings for RSI and MACD lengths, making it adaptable to different trading strategies.
Signal Precision: Goes beyond traditional RSI and MACD by offering precise buy, sell, and take-profit signals based on combined momentum logic.
Ease of Use: Tailored for both beginner and experienced traders by providing simple visual cues (candle colors and plot shapes) while retaining the depth of advanced settings.
The RSI/MACD Momentum Scalper is particularly beneficial for scalpers and intraday traders looking for a dynamic, easy-to-read tool that minimizes noise while focusing on high-probability trade opportunities.
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.
RSI MACD Combined Color StrategyOverview
This indicator combines RSI and MACD signals to create a powerful visual trading system, inspired by TrendSpider's AI Strategy Coder examples. It colors candles based on the alignment of three key technical conditions, providing clear visual signals for potential trend strength and direction.
Technical Components
Core Conditions
RSI (Relative Strength Index) > 50
Indicates bullish momentum when price is trading above the centerline
Traditional indicator of trend strength
MACD Line > Signal Line
Shows positive momentum
Classic signal for potential upward movement
MACD Line > 0
Confirms bullish territory
Indicates overall positive momentum
Color Coding System
🟢 Green Candles: All three conditions are met
Strongest bullish signal
Suggests high probability trading opportunities
⚪ Grey Candles: One or two conditions are met
Neutral or transitioning market
Suggests caution or waiting for stronger confirmation
🔴 Red Candles: No conditions are met
Bearish signal
Suggests potential downward pressure
How to Use This Indicator
For Entry Signals
Look for transitions from red or grey to green candles
Green candles suggest strong bullish alignment
Consider entering long positions when candles turn green
For Exit Signals
Watch for color transitions from green to grey or red
Consider taking profits when candles change from green to grey
Consider stop losses when candles turn red
Risk Management
Use color transitions as part of your broader strategy
Don't rely solely on color changes for trading decisions
Combine with other technical analysis tools and risk management practices
Customizable Parameters
RSI Length (default: 14)
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Best Practices
Use multiple timeframes for confirmation
Look for confluences with support/resistance levels
Consider volume and market context
Start with default settings and adjust based on your trading style
Backtest different parameter combinations
Notes
This indicator works best in trending markets
Grey candles can indicate transition periods
Consider market conditions and volatility when interpreting signals
Credits
Inspired by TrendSpider's AI Strategy Coder examples and adapted for TradingView using Pine Script v5.
Disclaimer
This technical indicator is for informational purposes only. Always conduct your own analysis and consider risk management principles before making trading decisions. Past performance does not guarantee future results.
Composite Indicator (CCI + ATR)Composite Indicator (CCI + ATR)
The Composite Indicator (CCI + ATR) combines the Commodity Channel Index (CCI) with the Average True Range (ATR) , providing traders with a dynamic tool for identifying entry and exit points based on momentum and volatility. This indicator is particularly useful for markets like cryptocurrencies, which often exhibit sharp sell-offs and gradual upward trends.
Key Features
Momentum Analysis with CCI: The CCI calculates price momentum by comparing the current price level to its average over a specific period. The indicator generates signals when CCI crosses predefined thresholds.
- Buy Signal: Triggered when CCI crosses above the lower threshold (e.g., -100).
- Sell Signal: Triggered when CCI crosses below the upper threshold (e.g., +100).
Volatility Filtering with ATR: The ATR measures market volatility, ensuring signals occur only during significant price movements.
Separate multipliers for buy and sell signals allow tailored filtering based on market behavior.
Stop Loss Calculation: Dynamic stop loss levels are calculated using the ATR multiplier to adapt to market volatility, offering better risk management.
How It Works
CCI Calculation: The CCI is calculated using the typical price ((High + Low + Close) / 3) and a user-defined length. It detects momentum changes by measuring deviations from the average price.
ATR Calculation: The ATR determines the average price range over a specified period, identifying the market’s volatility. The ATR SMA acts as a baseline to filter signals.
Buy Signal: A buy signal is triggered when:
- CCI crosses above the lower threshold (e.g., -100).
- ATR exceeds its SMA multiplied by the buy multiplier (e.g., 1.0).
Sell Signal: A sell signal is triggered when:
- CCI crosses below the upper threshold (e.g., +100).
- ATR exceeds its SMA multiplied by the sell multiplier (e.g., 0.95).
Stop Loss Integration:
- Long positions: Stop loss = Low – (ATR * ATR Multiplier)
- Short positions: Stop loss = High + (ATR * ATR Multiplier)
Advantages
Combines momentum (CCI) and volatility (ATR) for precise signal generation.
Customizable thresholds and multipliers for different market conditions.
Dynamic stop loss ensures better risk management in volatile markets.
Suggested Parameter Settings
CCI Length: 20 (default). Adjust as follows:
- 10–15: Shorter timeframes (e.g., 5-15 minutes).
- 20: General use for 1-hour timeframes.
- 30–50: Longer timeframes (e.g., 4-hour or daily charts).
CCI Threshold: 100 (default). Adjust as follows:
- 50–75: For more frequent signals in ranging markets.
- 100: Balanced for most trading conditions.
- 150–200: For strong trends to reduce noise.
ATR Length: 14 (default). Adjust as follows:
- 10–14: For assets with moderate volatility.
- 20: For assets with lower volatility.
ATR Buy Multiplier: 1.0 (default). Adjust as follows:
- 0.9–1.0: For gradual uptrends in crypto markets.
- 1.1–1.2: For stronger trend filtering.
ATR Sell Multiplier: 0.95 (default). Adjust as follows:
- 0.8–0.95: For sharp sell-offs.
- 1.0–1.1: For stable downward trends.
ATR Multiplier (Stop Loss): 1.5 (default). Adjust as follows:
- 1.0–1.2: For shorter timeframes or less volatile markets.
- 2.0–2.5: For highly volatile markets like cryptocurrencies.
Example Use Cases
Scalping (5-15 minute charts): Use CCI Length = 10, CCI Threshold = 75, ATR Buy Multiplier = 0.9, ATR Sell Multiplier = 0.8.
Day Trading (1-hour charts): Use CCI Length = 20, CCI Threshold = 100, ATR Buy Multiplier = 1.0, ATR Sell Multiplier = 0.95.
Swing Trading (4-hour or daily charts): Use CCI Length = 30, CCI Threshold = 150, ATR Buy Multiplier = 1.2, ATR Sell Multiplier = 1.0.
Final Thoughts The Composite Indicator (CCI + ATR) is a versatile tool designed to enhance trading decisions by combining momentum analysis with volatility filtering. Whether scalping or swing trading, this indicator provides actionable insights and robust risk management to navigate complex markets effectively.
MCDX_SignalThe MCDX indicator (Market Cycle Dynamic Index) is a technical indicator developed by Trung Pham. It is a tool used for analyzing the stock market, often utilized to identify big money flow (Big Money) and evaluate the strength of individual stocks or the overall market.
MCDX is known for its distinctive histogram chart with red and green bars. The red bars typically represent the inflow of big money, while the green bars indicate small money flow or outflows.
