Squeeze Momentum [LazyBear] V6 - Pine Screener [Mr_Rakun]Squeeze Momentum Indicator with Screener V6 - Modified by Mr_Rakun
Overview
This script is a modified version of the popular Squeeze Momentum Indicator originally created by LazyBear . The indicator identifies market conditions where volatility is contracting (squeeze) and expanding, helping traders spot potential breakouts or reversals. The modification by Mr_Rakun introduces a Pine Screener feature that scans for ascending and descending candles based on the Squeeze Momentum values.
Screener for Ascending and Descending Candles:
The script includes a screener that counts and categorizes candles based on their momentum:
Rising Green: Bullish momentum increasing.
Falling Green: Bullish momentum decreasing.
Falling Red: Bearish momentum increasing.
Rising Red: Bearish momentum decreasing.
Additionally, it tracks the state of the squeeze (On/Off) using colored crosses.
Centered Oscillators
MACD RSI Buy/Sell Signal IndicatorThis simple indicator that uses the MACD 12 26 and the RSI 14 to track the event that the MACD histogram switches from rising to falling or vice versa and checks if RSI is trending up- or downwards at the same time. If MACD histogram changes from rising to falling and RSI is trending down we get a sell signal and the back ground changes from green to red. If MACD histogram changes from falling to rising and RSI is trending upwards we get a buy signal and the background turns green.
You can set the TradingView alarm for buy or sell signal to be informed whenever the indicator thinks that the tides are changing.
This indicator is customized to work best with 30min. timeframes but it is usable for smaller and higher timeframes either. You should check by yourself as you can always check how the indicator performed in the past as it is showing its hints in the past as well.
You should close a long as soon as a sell signal is printed or close a short as soon as a buy signal is printed to have some kind of stoploss like trading and minimize your losses.
Please trade with care and low leverages as the majority of people is losing money with trading.
As every indicator this indicator is not right all the time. You should take it as a base for deciding when to sit down at your computer or with your phone to open a trade but you should take other indicators and the chart itself into consideration and combine for example with checking SMAs, money flow, volumes, candle bodies, ect. to get more confluence if you should open the trade or not.
Will amend the indicator in case I made some improvements on it.
Wish you never ending profits and easier decisions.
Bottom Fishing Indicator# Bottom Fishing Indicator Documentation
## 1. Overview
The **Bottom Fishing Indicator** is a tool based on **RSI**, **CCI**, and **MFI** oscillators to identify oversold conditions. It accumulates oversold values over time to detect potential reversal points. The indicator also supports multi-timeframe analysis to provide more comprehensive insights.
---
## 2. Features
1. **RSI / CCI / MFI Oversold Accumulation Detection**:
- **RSI**: Starts accumulating when RSI is below 30.
- **CCI**: Calculates the difference from -100 when CCI is below -100 and accumulates it.
- **MFI**: Begins accumulation when MFI is below 20.
2. **Threshold Trigger Monitoring**:
- When the accumulated value exceeds the predefined threshold (default 100), a "Goal" marker is displayed on the chart, indicating a potential bottom.
3. **Multi-Timeframe Analysis (MTF)**:
- Supports selecting different timeframes (such as daily, weekly) for indicator values and displays multi-timeframe accumulation curves on the main chart.
4. **Customizable and Dynamic Adjustment Options**:
- Allows customization of indicator lengths, accumulation thresholds, display colors, line thickness, and more, offering flexible settings.
---
## 3. Settings Explanation
1. **RSI Length**: Period for RSI calculation (default 14).
2. **CCI Length**: Period for CCI calculation (default 20).
3. **MFI Length**: Period for MFI calculation (default 14).
4. **Sum Threshold for Marker**: Accumulation value threshold to trigger markers (default 100).
5. **Indicator to Track**: Select the indicator to monitor (RSI / CCI / MFI).
6. **Multi-Timeframe Line Timeframe**: Timeframe for multi-timeframe analysis (default Daily).
7. **MTF Sum Threshold for Reset**: Accumulation threshold for multi-timeframe analysis, resets after exceeding (default 100).
8. **MTF Sum Line Color**: Color of the multi-timeframe accumulation line (default Orange).
9. **MTF Line Width**: Thickness of the multi-timeframe accumulation line (default 2).
---
## 4. Chart Explanation
1. **Value Sum Line**: Accumulation curve for oversold areas, showing the current progress of accumulation to monitor potential reversals.
2. **MTF Value Sum Line**: Multi-timeframe accumulation line, further verifying consistency between different timeframes.
3. **Goal Marker**: Displays a "Goal" marker on the chart when the accumulation value exceeds the predefined threshold, indicating a potential bottom area.
---
## 5. Usage Tips
1. **Select Indicators Based on Conditions**:
- For clear downtrends, RSI may provide better results.
- For highly volatile markets, CCI is more effective.
- To consider volume factors, choose the MFI indicator.
2. **Multi-Timeframe Analysis**:
- Use multi-timeframe accumulation curves to further confirm the consistency between larger and smaller timeframes.
3. **Continuous Monitoring and Adjusting Thresholds**:
- Adjust accumulation thresholds according to market volatility to select more suitable risk control methods.
---
## 6. Notes
1. **Oversold indicators alone cannot fully capture the market environment. Please combine them with other technical indicators and fundamental analysis.**
2. **The indicator does not guarantee market bottom reversals. Please use it rationally and avoid over-reliance.**
---
For any questions or feedback, please contact us.
QQE Adv / Quantitative Qualitative Estimation AdvancedQQE Adv / Quantitative Qualitative Estimation Advanced
QQE Adv is a trading indicator, refined by the community, that builds upon Roman Ignatov's original Quantitative Qualitative Estimation (QQE). Utilizing smoothed RSI and ATR, QQE Adv dynamically adjusts signal levels based on market volatility. This key enhancement over the standard QQE aims to provide traders with more responsive and potentially more accurate buy/sell signals, adapting to changing market conditions.
Forex trader Jim Brown significantly popularized QQE Adv, and his preferred settings are included as the indicator's default settings.
Key Features:
1. Clear Signal Cross Markers: Visually highlights line crossovers for easy signal identification.
2. Alert Ready: Fully compatible with TradingView's alert system for automated signal notifications.
I encourage your feedback so I can further improve this QQE Advanced Oscillator. Thank you
MACD Histogram Color Tabledisplaying the MACD Histogram color and divergences across multiple timeframes. Here's how it works step by step:
1. Setting the Table Position
The script allows the user to choose where the table will be placed using the positionOption input. The three options are:
Top Right
Top Left
Top Center
Depending on the selected option, the table is created at the corresponding position.
2. Creating the Table
A table (macdTable) is created with 8 columns (for different timeframes) and 3 rows (for different data points).
3. MACD Histogram Color Function (f_get_macd_color)
This function calculates the MACD line, signal line, and histogram for a given timeframe.
The histogram (histLine) is used to determine the cell background color:
Green if the histogram is positive.
Red if the histogram is negative.
4. Divergence Detection Function (f_detect_divergence)
This function looks for bullish and bearish divergences using the MACD histogram:
Bullish Divergence (🟢)
The price makes a lower low.
The MACD histogram makes a higher low.
Bearish Divergence (🔴)
The price makes a higher high.
The MACD histogram makes a lower high.
The function returns:
🟢 (green circle) for bullish divergence.
🔴 (red circle) for bearish divergence.
"" (empty string) if no divergence is detected.
5. Populating the Table
The table has three rows for each timeframe:
First row: Displays the timeframe labels (5m, 15m, 30m, etc.).
Second row: Shows MACD Histogram color (red/green).
Third row: Displays divergences (🟢/🔴).
This is done using table.cell() for each timeframe.
6. Final Result
A table is displayed on the chart.
Each column represents a different timeframe.
The color-coded row shows the MACD histogram status.
The bottom row shows detected divergences.
MACD Crossover + RSI + Volume + RRR 1:2 - OptimizedMACD Crossover + RSI + Volume + RRR 1:2 - Optimized
Price & % ChangePrice & % Change (Status Line Only) - Indicator Description
This indicator calculates and displays the absolute price change (Δ) and percentage change (%) between the open and close of a selected candle. The values are shown only in the indicator list (status line) and do not appear on the chart.
Features:
✅ Displays Price Δ and % Δ in the TradingView indicator list
✅ Customizable decimal places (0-8) for both values
✅ Bar offset option to analyze previous candles
Use this tool to quickly track price movements without cluttering your chart. 🚀
Overextension Oscillator [by DanielM]The Overextension Oscillator is an indicator that detects when a market move has extended significantly beyond its typical range, signaling potential areas for a correction or reversal. Unlike traditional oscillators that rely on fixed overbought/oversold levels, this tool dynamically adjusts its thresholds based on historical swing high and swing low movements.
By analyzing all swing points on the chart, the indicator determines the expected range of price movements and identifies when the price extends beyond normal levels. Since every asset has different price behavior and volatility, swing lengths may vary from asset to asset, ensuring that overextension is measured relative to each market's historical price behavior.
How It Works
1️⃣ Swing Detection & Data Collection
The indicator scans all available swing highs and swing lows on the chart to gather a complete dataset of past price fluctuations.
It records the percentage differences between swings to determine how much price typically moves in a given market.
2️⃣ Overextension Calculation
Using the stored swing data, the indicator calculates:
Average Swing Difference – Measures the average percentage difference between swings.
Average Move Percentage – Determines the typical magnitude of price moves within a trend cycle.
These values are used to create dynamic overextension thresholds that adjust based on historical data.
3️⃣ Price Distance & Overextension Measurement
The indicator calculates the distance between the current price and the closest historical swing point. If this distance exceeds the predefined threshold based on past swings, the move is considered overextended. The greater the deviation, the higher the probability of a pullback or short-term reversal.
4️⃣ Buy/Sell Signal Generation
A Buy signal is generated when the price has dropped below an overextended threshold relative to a past swing low.
A Sell signal is generated when the price has risen beyond an overextended threshold relative to a past swing high.
These signals indicate that the price has reached a level where it historically tends to slow down or reverse.
EMA MTF Crossover [Two]R = Reverse signal in Weekly
C = Continue signal in Daily
Two = Early signal in 1H
Indicator for myself but i'm public FREE for all friend using
Finite Difference - Backward (mcbw_)In calculus there exists a 'derivative', which simply just measures the difference between two points on a curve. For well behaved mathematical functions there are infinitely many points and so there exists a derivative at every point. Where there are infinitely many points in a curve that curve is called 'continuous'. Continuous curves are very nice to deal with since each point on it exists almost exactly where its neighbors are. However, if the curve does not have infinitely many points on it, but instead has a finite number of points on it, that curve is called 'discrete' instead of continuous. Taking the derivative of discrete curves is much trickier business since there are none of the mathematical conveniences that a continuous offers. In the real world everything we measure is a discrete curve, including Price (since we measure it a finite number of times, aka each candlestick)!
The branch of Discrete Mathematics has found an approach to measure the derivative along a discrete curve, that approach is aptly called " Finite Difference ". To get a more accurate approximation of a discrete derivative, the finite difference approach uses weighted combinations of neighboring points. The most common type of finite difference is a 'central' difference, this uses a combination of points before and after the point of interest to approximate the discrete derivative. This is great for historical analysis but is not of much use for trading algorithms since it technically means using future prices to calculate the derivative of the current point. Instead we can use a less common variant called a ' Backwards Difference ' that only uses a combination of points before the current one to help approximate the current derivative.
In this script you can choose the " Order " of your derivative and the " Accuracy " of its approximation. This script is for educational purposes for folks building trading algorithms. Many trading algorithms often have an element of seeing how much Price has changed from the previous candle to the current candle. This approach is the lowest accuracy derivative possible, and using the backwards finite differences, made available for the first time on TradingView (!!), algorithms that use derivatives can now have higher orders of accuracy!
Happy Trading/Developing!
Liquidity Heatmap & Volume-Weighted RSILiquidity Heatmap Indicator with Volume-Weighted RSI
Description:
The Liquidity Heatmap Indicator with Volume-Weighted RSI (VW-RSI) is a powerful tool designed for traders to visualize market liquidity zones while integrating a volume-adjusted momentum oscillator. This indicator provides a dynamic heatmap of liquidity levels across various price points and enhances traditional RSI by incorporating volume weight, making it more responsive to market activity.
Key Features:
Liquidity Heatmap Visualization: Identifies high-liquidity price zones, allowing traders to spot potential areas of support, resistance, and accumulation.
Volume-Weighted RSI (VW-RSI): Enhances the RSI by factoring in trading volume, reducing false signals and improving trend confirmation.
Customizable Sensitivity: Users can adjust parameters to fine-tune heatmap intensity and RSI smoothing.
Dynamic Market Insights: Helps identify potential price reversals and trend strength by combining liquidity depth with momentum analysis.
How to Use:
1. Identify Liquidity Zones: The heatmap colors indicate areas of high and low liquidity, helping traders pinpoint key price action areas.
2. Use VW-RSI for Confirmation: When VW-RSI diverges from price near a liquidity cluster, it signals a potential reversal or continuation.
3. Adjust Parameters: Fine-tune the RSI period, volume weighting, and heatmap sensitivity to align with different trading strategies.
This indicator is ideal for traders who rely on order flow analysis, volume-based momentum strategies, and liquidity-driven trading techniques.
Early MACD Reversal IndicatorThis indicator should provide early warnings of potential price reversal based on the difference between the MACD and its signal line. The keys of the reversal come from creating a histogram of the difference between the two lines and further monitoring the first indications of breadth decrease. The first change when trending up will paint a red vertical line and downward triangle to indicate potential trend reversal to the low side. The opposite with a green vertical line and upward triangle signals potential upside movement soon.
Enjoy!
MACD platinum / zero lag MACD +MACD Platinum Indicator
MACD Platinum enhances the traditional MACD by incorporating Zero Lag EMAs for quicker signal generation. This adaptation was developed by John Ehlers and Rick Way, and gained popularity through Forex trader Jim Brown.
Other Distinctive Features Include:
1. Customizable Signal Line: Options include SMA, EMA, Zero Lag EMA, HMA, WMA (also known as LWMA), VWMA, and RMA (also known as SMMA or Wilder MA).
2. Adjustable MACD Line: Similar to the Signal Line, it can be set to SMA, EMA, Zero Lag EMA, HMA, WMA (LWMA), VWMA, or RMA (SMMA/Wilder MA).
3. Histogram Toggle: Users have the option to display or hide the histogram.
4. Multiple Timeframe Compatibility: Allows for the use of different time intervals from the chart's current interval.
5. Alert Functionality: Fully compatible with setting up alerts for trading signals.
I welcome your feedback to further refine this tool.
Thank you for your interest in MACD Platinum.
Alienseeker GC and RSI StrategyDescription:
The Alienseeker GC and RSI Strategy is a technical trading strategy that combines the Gaussian Channel (GC) and Stochastic RSI indicators to identify potential entry and exit points in the market. The strategy is designed to work on any timeframe and is suitable for traders looking for a systematic approach to trading.
Key Features:
Gaussian Channel (GC):
The Gaussian Channel is calculated using an Exponential Moving Average (EMA) as the basis and a standard deviation multiplier to create upper and lower channels.
The upper channel acts as a dynamic resistance level, while the lower channel acts as a dynamic support level.
Stochastic RSI:
The Stochastic RSI is used to identify overbought and oversold conditions.
It smooths the RSI values and generates %K and %D lines, which help confirm potential reversals.
Trading Logic:
A long position is entered when the price crosses below the lower Gaussian Channel and the Stochastic RSI %K line crosses above the %D line (indicating a potential reversal).
The position is closed when the price crosses above the upper Gaussian Channel.
Date Range Filter:
The strategy includes a customizable date range filter, allowing users to backtest or trade the strategy within a specific time period.
Input Parameters:
Gaussian Channel Length: Length of the EMA used for the Gaussian Channel.
Standard Deviation Multiplier: Multiplier applied to the standard deviation for the Gaussian Channel.
RSI Length: Length of the RSI calculation.
Stochastic Length: Length of the Stochastic RSI calculation.
Smooth K and D: Smoothing periods for the %K and %D lines of the Stochastic RSI.
Start Date and End Date: Customizable date range for the strategy.
Disclaimer:
This strategy is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own research and backtesting before using any strategy in live trading.
MACD Crossover SignalsThis is a way of saying thank you to everyone who has been sharing opensource scripts for indicators and strategies on TV.
This indicator generates a "Buy" or "Sell" signal based on two rules.
1. "Buy" when the MACD crosses above the signal
2. "Sell" when the MACD crosses below the signal
The MACD parameters are configurable so you can even configure it for the LBR 3-10 Oscillator. :)
Hope you find this useful in your learning journey.
HTC peppermint_07 CCI w signal + s&r RSI
This CCI version enhances the traditional Commodity Channel Index (CCI) by integrating a dynamically calculated Relative Strength Index (RSI) that acts as support and resistance as shown in the screenshot, it can add as a confirmation to the divergence found in the CCI.
Key Features:
Enhanced CCI: The primary plot (black line but customizable) represents the standard CCI, providing insight into price momentum and potential overbought/oversold conditions.
Dynamic RSI Support/Resistance: The upper and lower bands (medium cyan line) are derived from a smoothed RSI, dynamically adjusting to the current market volatility. These bands serve as potential support and resistance levels for the CCI as additional confirmation for the divergence.
Overbought/Oversold Zones: The traditional overbought (+100) and oversold (-100) levels for CCI are marked with horizontal dotted lines.
Benefits:
Improved Entry/Exit Signals: Combining CCI with dynamic RSI support/resistance may offer more precise trading signals compared to using CCI alone.
Dynamic Adaptation: The RSI-based bands adapt to changing market conditions, potentially providing more relevant support and resistance levels.
Divergence Confirmation: dynamic s&r RSI adds confluence to potential trend reversals identified by the CCI.
Potential Usage:
Traders might use this indicator to:
Identify potential overbought/oversold conditions using the CCI and its relationship to the dynamic RSI bands.
Look for breakouts beyond the dynamic support/resistance levels as potential entry points.
Confirm potential trend reversals using RSI divergence (cyan and red label above divergence) signals.
Further Development Considerations:
Customizable Parameters: Allowing users to adjust the CCI length, RSI periods, and smoothing factors would enhance flexibility.
Alert Conditions: Adding alerts for breakouts, overbought/oversold conditions, and divergence signals would improve usability.
Backtesting: Thoroughly backtesting the indicator's performance across different assets and timeframes is essential before using it for live trading.
DISCLAIMER: !!
indicator is a custom technical analysis tool designed for educational and informational purposes only. It should not be construed as financial advice or a recommendation to buy or sell any security. Trading involves substantial risk of loss and may not be suitable for all investors.
Key Points to Consider:
No Guarantee of Profitability: The indicator's past performance is not indicative of future results. No trading strategy can guarantee profits or eliminate the risk of losses. You could lose some or all of your investment.
Use at Your Own Risk: Use of this indicator is solely at your own discretion and risk. You are responsible for your trading decisions. The developers and distributors of this indicator are not liable for any losses incurred as a result of using it.
Not Financial Advice: This indicator does not provide financial advice. Consult with a qualified financial advisor before making any investment decisions.
Backtesting Limitations: Backtested results, if presented, should be viewed with caution. Past performance may not reflect future results due to various factors, including changing market conditions and the limitations of backtesting methodologies.
Indicator Limitations: Technical indicators, including this one, are not perfect. They can generate false signals, and their effectiveness can vary depending on market conditions and the specific parameters used.
Parameter Optimization: Optimizing indicator parameters for past performance can lead to overfitting, which may not translate to future profitability.
No Warranty: The indicator is provided "as is" without any warranty of any kind, either express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, or non-infringement.
Changes and Updates: The developers may make changes or updates to the indicator without notice.
By using the "HTC peppermint_07 CCI w signal + s&r RSI" indicator, you acknowledge and agree to the terms of this disclaimer. If you do not agree with these terms, do not use the indicator.
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.
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.
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 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.
