RSI and MACD Divergence IndicatorThe RSI and MACD Divergence Indicator is a custom Pine Script v6 indicator designed for TradingView that identifies and visualizes divergences between price movements and two technical indicators: the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD). Here's a brief explanation of its functionality:
Divergence Detection: The indicator detects both regular and hidden divergences for RSI, MACD (MACD Line), and Histogram. Regular bullish divergences occur when price makes a lower low but the indicator makes a higher low (suggesting a potential reversal upward), while regular bearish divergences occur when price makes a higher high but the indicator makes a lower high (suggesting a potential reversal downward). Hidden divergences indicate continuation patterns (e.g., higher low in price with a lower low in the indicator for bullish continuation).
Customizable Inputs:
Pivot Bars: Sets the number of bars used to confirm pivot highs and lows (default: 5).
RSI and MACD Parameters: Allows adjustment of RSI length (default: 14) and MACD settings (fast: 12, slow: 26, signal: 9).
Toggle Options: Enables/disables detection of regular and hidden divergences for RSI, MACD, and Histogram individually.
Confirmation: Option to wait for pivot confirmation (default: true), delaying divergence display until the pivot is fully formed.
Show Only Last Divergence: Toggles between showing only the most recent divergence (default: true) or all detected divergences (false), with previous lines and labels cleared when true.
Minimum Divergences: Sets the minimum number of divergence types required at a pivot to display (default: 1, max: 6).
Maximum Pivot Points: Limits the number of historical pivot points to check (default: 10).
Maximum Bars to Check: Restricts analysis to the last specified number of bars (default: 500).
Visualization:
Draws lines connecting the price pivot points where divergences are detected, with customizable colors, widths, and styles (solid, dashed, dotted) for RSI and MACD.
Displays a single label per pivot with vertically stacked text listing all detected divergence types (e.g., "RSI Bull Div\nMACD Bull Div"), using semi-transparent backgrounds (green for bullish, red for bearish) and white text.
在脚本中搜索"histogram"
ATR % of yesterday close with SMA (Bull/Bear colored)This script visualizes the Average True Range (ATR) as a percentage of a user-selected price point for a quick view of volatility.
ATR % values are plotted as a color-coded histogram. Bullish days (close > prior close) paint the bar green; bearish days (close < prior close) paint it red; unchanged days are gray.
Two simple moving average (SMA) overlays to reveal volatility trends.
Variables:
Histogram bars represent ATR as a % of one of:
- Previous Close (default option)
- Previous Open
- Today Close
- Today Open
Two SMA lines (default: blue for 20-period, orange for 5-period) shown on ATR % for trend/range regime tracking.
Optionally display the ATR % in continuous line (yellow)—hidden by default.
If you find it helpful, feel free to share any feedback and how you incorporate it into your trading strategy with the community!
X PD&FVVisualizes the price's premium or discount relative to a moving average benchmark, highlighting mean-reversion and trend-continuation opportunities. While the underlying math is simple, the application is nuanced and can enhance decision-making in both trending and ranging market conditions.
Core Logic:
This tool calculates a custom **spread value**, defined as the distance between the current price and a chosen exponential moving average (EMA). Specifically:
When the current price is **above** the EMA, the spread is calculated as `low - EMA`.
When the price is **below** the EMA, the spread is calculated as `high - EMA`.
This approach creates a dynamic spread that reflects deviation from the EMA, with histogram bars:
Green when the spread is positive (suggesting a price premium),
Red when the spread is negative (suggesting a discount).
A secondary EMA (default 9-period) is applied to the spread itself, plotted as a smoother line over the histogram. This "EMA of spread" line can be interpreted as a moving reference level for detecting directional shifts in momentum.
Interpretation:
Zero Line = Fair Value: The horizontal zero axis represents equilibrium relative to the moving average. Movement toward or away from this line signals potential shifts in market bias.
Trend Following Use: In trending markets, traders can:
Buy when the spread dips below its EMA (discount within uptrend),
Sell when the spread rises above its EMA (premium within downtrend).
Mean Reversion Use: A return to the zero line (fair value) often acts as an **inflection point**, which traders can monitor for either:
Trend continuation (bounce away from zero), or
Reversal (cross through zero).
Customization:
EMA length (default 50) is adjustable to fit different timeframes or asset volatility.
[blackcat] L3 Volume Sync TradeOVERVIEW
The L3 Volume Sync Trade indicator empowers traders 📈💹 with advanced tools to pinpoint precise entry and exit points leveraging intricate volume and price momentum analyses. By encapsulating sophisticated technical calculations into an intuitive visual format, this script aids in identifying high-probability trades while minimizing guesswork. Whether you're a seasoned trader looking to enhance your strategy or a newcomer seeking structured guidance, this indicator offers invaluable insights tailored to elevate your trading precision.
FEATURES
Advanced Volume Analysis 📊✨: Employs comprehensive volume dynamics to spot underlying market trends and resonance levels, allowing you to align your trades with significant movements.
Dynamic Price Momentum Metrics ⚡️: Computes both immediate and sustained price strengths, providing a holistic view of market directionality.
Customizable Indicators 🎯: Adjustable periods across multiple moving averages ensure flexibility in adapting the script to diverse trading styles and timeframes.
Intuitive Visual Representation 🖼️: Displays critical information via colorful histograms and candlestick patterns, facilitating quick comprehension even amidst fast-paced markets.
Automated Buy/Sell Labels 🔍: Clearly marks chart locations where buy/sell actions are recommended, reducing the need for constant manual monitoring.
Real-Time Alert Capabilities 🔔: Stay ahead with customizable alerts that notify you instantly whenever favorable trading conditions arise.
HOW TO USE
Initial Setup:
Begin by adding the L3 Volume Sync Trade indicator to your TradingView chart.
Familiarize yourself with the default settings provided within the script’s input parameters.
Configuring Input Parameters:
Short Period: Adjust if focusing on shorter-term fluctuations; defaults at 5 bars.
Long Period: Ideal for capturing broader trends over extended intervals; set initially at 27 bars.
EMA and SMA Periods: Tweak these for fine-tuning the sensitivity of trend-following mechanisms; default values are 3 and 3 respectively.
Long/EMA Periods: These influence smoothing effects; start with 360 and 21 respectively but experiment based on volatility.
Capital Threshold: Defines minimal risk level per trade; default set at 1 unit but can be increased/decreased based on your risk appetite.
Understanding Chart Elements:
Histograms & Candles: Blue/green histograms represent positive-negative resonances, red/green bands signify crossover events, aqua candles denote resonance points, orange highlights trade signals.
Labels: Green “BUY” tags appear above bars indicating bullish conditions; red “SELL” tags below bars suggest bearish reversals.
Activating Alarms:
Go to the alert settings in TradingView.
Enable conditional alerts for buy/sell signals ensuring timely responses without missing crucial moves.
Monitoring Performance:
Keep track of how often alerts trigger versus actual winning trades.
Periodically revisit input adjustments to optimize responsiveness under varying market phases.
ADVANCED USAGE TIPS
Backtesting Your Strategy: Before going live, apply historical data tests to gauge reliability.
Combining With Other Tools: Enhance accuracy by integrating additional indicators like RSI or MACD alongside Volume Sync.
Risk Management Integration: Use stop-loss/take-profit markers derived from script outputs to safeguard capital efficiently.
LIMITATIONS
Market Conditions Variability: Different assets or volatile environments might yield inconsistent outcomes.
Dependent On User Expertise: Best utilized by those familiar with technical analysis fundamentals.
Limited Flexibility In Real-time Adjustments: Once applied, real-time tweaking requires reloading script which might delay responses during rapid market shifts.
NOTES
Parameter Sensitivity: Minor changes can lead to drastic differences; always test modifications cautiously.
Regular Reviews: Continuously assess indicator efficacy against evolving market behaviors.
Complementary Techniques: Supplement this script with fundamental analysis or news-driven insights for well-rounded decisions.
THANKS
A heartfelt acknowledgment goes to our community of developers and enthusiasts whose feedback has been instrumental in refining this powerful indicator.
Adaptive Momentum Oscillator [LuxAlgo]The Adaptive Momentum Oscillator tool allows traders to measure the current relative momentum over a given period using the maximum delta in price.
It features a histogram with gradient color, divergences, and an adaptive moving average that allows traders to clearly see the smoothed trend direction.
🔶 USAGE
This unbounded oscillator has positive momentum when values are above 0 and negative momentum when values are below 0. The adaptive moving average is used as a minimum lag smoothing tool over the momentum histogram.
🔹 Signal Line
There are two main uses for the signal line drawn on the chart above.
Momentum crosses above or below the signal line: acceleration in momentum.
Signal line crosses the 0 value: positive or negative momentum.
🔹 Data Length
On the chart above, we can compare different length sizes and how the tool values change, allowing traders to get a shorter or longer-term view of current market strength.
🔹 Smoothing Length
In the previous figure, we can compare how different Smoothing Length values affect the oscillator output.
🔹 Divergences
The divergence detector is disabled by default. Traders can enable it and adjust the divergence length from the settings panel.
As we can see in the chart above, by changing the length of the divergences, traders can fine-tune their detection, a small number will detect smaller divergences, and use a larger number for larger divergences.
🔶 SETTINGS
Data: Select data source, close price by default
Data Length: Select the length for data gathering
Smoothing Length: Select the length for data smoothing
Divergences: Enable/Disable divergences detection and length
ADR% Extension Levels from SMA 50I created this indicator inspired by RealSimpleAriel (a swing trader I recommend following on X) who does not buy stocks extended beyond 4 ADR% from the 50 SMA and uses extensions from the 50 SMA at 7-8-9-10-11-12-13 ADR% to take profits with a 20% position trimming.
RealSimpleAriel's strategy (as I understood it):
-> Focuses on leading stocks from leading groups and industries, i.e., those that have grown the most in the last 1-3-6 months (see on Finviz groups and then select sector-industry).
-> Targets stocks with the best technical setup for a breakout, above the 200 SMA in a bear market and above both the 50 SMA and 200 SMA in a bull market, selecting those with growing Earnings and Sales.
-> Buys stocks on breakout with a stop loss set at the day's low of the breakout and ensures they are not extended beyond 4 ADR% from the 50 SMA.
-> 3-5 day momentum burst: After a breakout, takes profits by selling 1/2 or 1/3 of the position after a 3-5 day upward move.
-> 20% trimming on extension from the 50 SMA: At 7 ADR% (ADR% calculated over 20 days) extension from the 50 SMA, takes profits by selling 20% of the remaining position. Continues to trim 20% of the remaining position based on the stock price extension from the 50 SMA, calculated using the 20-period ADR%, thus trimming 20% at 8-9-10-11 ADR% extension from the 50 SMA. Upon reaching 12-13 ADR% extension from the 50 SMA, considers the stock overextended, closes the remaining position, and evaluates a short.
-> Trailing stop with ascending SMA: Uses a chosen SMA (10, 20, or 50) as the definitive stop loss for the position, depending on the stock's movement speed (preferring larger SMAs for slower-moving stocks or for long-term theses). If the stock's closing price falls below the chosen SMA, the entire position is closed.
In summary:
-->Buy a breakout using the day's low of the breakout as the stop loss (this stop loss is the most critical).
--> Do not buy stocks extended beyond 4 ADR% from the 50 SMA.
--> Sell 1/2 or 1/3 of the position after 3-5 days of upward movement.
--> Trim 20% of the position at each 7-8-9-10-11-12-13 ADR% extension from the 50 SMA.
--> Close the entire position if the breakout fails and the day's low of the breakout is reached.
--> Close the entire position if the price, during the rise, falls below a chosen SMA (10, 20, or 50, depending on your preference).
--> Definitively close the position if it reaches 12-13 ADR% extension from the 50 SMA.
I used Grok from X to create this indicator. I am not a programmer, but based on the ADR% I use, it works.
Below is Grok from X's description of the indicator:
Script Description
The script is a custom indicator for TradingView that displays extension levels based on ADR% relative to the 50-period Simple Moving Average (SMA). Below is a detailed description of its features, structure, and behavior:
1. Purpose of the Indicator
Name: "ADR% Extension Levels from SMA 50".
Objective: Draw horizontal blue lines above and below the 50-period SMA, corresponding to specific ADR% multiples (4, 7, 8, 9, 10, 11, 12, 13). These levels represent potential price extension zones based on the average daily percentage volatility.
Overlay: The indicator is overlaid on the price chart (overlay=true), so the lines and SMA appear directly on the price graph.
2. Configurable Inputs
The indicator allows users to customize parameters through TradingView settings:
SMA Length (smaLength):
Default: 50 periods.
Description: Specifies the number of periods for calculating the Simple Moving Average (SMA). The 50-period SMA serves as the reference point for extension levels.
Constraint: Minimum 1 period.
ADR% Length (adrLength):
Default: 20 periods.
Description: Specifies the number of days to calculate the moving average of the daily high/low ratio, used to determine ADR%.
Constraint: Minimum 1 period.
Scale Factor (scaleFactor):
Default: 1.0.
Description: An optional multiplier to adjust the distance of extension levels from the SMA. Useful if levels are too close or too far due to an overly small or large ADR%.
Constraint: Minimum 0.1, increments of 0.1.
Tooltip: "Adjust if levels are too close or far from SMA".
3. Main Calculations
50-period SMA:
Calculated with ta.sma(close, smaLength) using the closing price (close).
Serves as the central line around which extension levels are drawn.
ADR% (Average Daily Range Percentage):
Formula: 100 * (ta.sma(dhigh / dlow, adrLength) - 1).
Details:
dhigh and dlow are the daily high and low prices, obtained via request.security(syminfo.tickerid, "D", high/low) to ensure data is daily-based, regardless of the chart's timeframe.
The dhigh / dlow ratio represents the daily percentage change.
The simple moving average (ta.sma) of this ratio over 20 days (adrLength) is subtracted by 1 and multiplied by 100 to obtain ADR% as a percentage.
The result is multiplied by scaleFactor for manual adjustments.
Extension Levels:
Defined as ADR% multiples: 4, 7, 8, 9, 10, 11, 12, 13.
Stored in an array (levels) for easy iteration.
For each level, prices above and below the SMA are calculated as:
Above: sma50 * (1 + (level * adrPercent / 100))
Below: sma50 * (1 - (level * adrPercent / 100))
These represent price levels corresponding to a percentage change from the SMA equal to level * ADR%.
4. Visualization
Horizontal Blue Lines:
For each level (4, 7, 8, 9, 10, 11, 12, 13 ADR%), two lines are drawn:
One above the SMA (e.g., +4 ADR%).
One below the SMA (e.g., -4 ADR%).
Color: Blue (color.blue).
Style: Solid (style=line.style_solid).
Management:
Each level has dedicated variables for upper and lower lines (e.g., upperLine1, lowerLine1 for 4 ADR%).
Previous lines are deleted with line.delete before drawing new ones to avoid overlaps.
Lines are updated at each bar with line.new(bar_index , level, bar_index, level), covering the range from the previous bar to the current one.
Labels:
Displayed only on the last bar (barstate.islast) to avoid clutter.
For each level, two labels:
Above: E.g., "4 ADR%", positioned above the upper line (style=label.style_label_down).
Below: E.g., "-4 ADR%", positioned below the lower line (style=label.style_label_up).
Color: Blue background, white text.
50-period SMA:
Drawn as a gray line (color.gray) for visual reference.
Diagnostics:
ADR% Plot: ADR% is plotted in the status line (orange, histogram style) to verify the value.
ADR% Label: A label on the last bar near the SMA shows the exact ADR% value (e.g., "ADR%: 2.34%"), with a gray background and white text.
5. Behavior
Dynamic Updating:
Lines update with each new bar to reflect new SMA 50 and ADR% values.
Since ADR% uses daily data ("D"), it remains constant within the same day but changes day-to-day.
Visibility Across All Bars:
Lines are drawn on every bar, not just the last one, ensuring visibility on historical data as well.
Adaptability:
The scaleFactor allows level adjustments if ADR% is too small (e.g., for low-volatility symbols) or too large (e.g., for cryptocurrencies).
Compatibility:
Works on any timeframe since ADR% is calculated from daily data.
Suitable for symbols with varying volatility (e.g., stocks, forex, cryptocurrencies).
6. Intended Use
Technical Analysis: Extension levels represent significant price zones based on average daily volatility. They can be used to:
Identify potential price targets (e.g., take profit at +7 ADR%).
Assess support/resistance zones (e.g., -4 ADR% as support).
Measure price extension relative to the 50 SMA.
Trading: Useful for strategies based on breakouts or mean reversion, where ADR% levels indicate reversal or continuation points.
Debugging: Labels and ADR% plot help verify that values align with the symbol’s volatility.
7. Limitations
Dependence on Daily Data: ADR% is based on daily dhigh/dlow, so it may not reflect intraday volatility on short timeframes (e.g., 1 minute).
Extreme ADR% Values: For low-volatility symbols (e.g., bonds) or high-volatility symbols (e.g., meme stocks), ADR% may require adjustments via scaleFactor.
Graphical Load: Drawing 16 lines (8 upper, 8 lower) on every bar may slow the chart for very long historical periods, though line management is optimized.
ADR% Formula: The formula 100 * (sma(dhigh/dlow, Length) - 1) may produce different values compared to other ADR% definitions (e.g., (high - low) / close * 100), so users should be aware of the context.
8. Visual Example
On a chart of a stock like TSLA (daily timeframe):
The 50 SMA is a gray line tracking the average trend.
Assuming an ADR% of 3%:
At +4 ADR% (12%), a blue line appears at sma50 * 1.12.
At -4 ADR% (-12%), a blue line appears at sma50 * 0.88.
Other lines appear at ±7, ±8, ±9, ±10, ±11, ±12, ±13 ADR%.
On the last bar, labels show "4 ADR%", "-4 ADR%", etc., and a gray label shows "ADR%: 3.00%".
ADR% is visible in the status line as an orange histogram.
9. Code: Technical Structure
Language: Pine Script @version=5.
Inputs: Three configurable parameters (smaLength, adrLength, scaleFactor).
Calculations:
SMA: ta.sma(close, smaLength).
ADR%: 100 * (ta.sma(dhigh / dlow, adrLength) - 1) * scaleFactor.
Levels: sma50 * (1 ± (level * adrPercent / 100)).
Graphics:
Lines: Created with line.new, deleted with line.delete to avoid overlaps.
Labels: Created with label.new only on the last bar.
Plots: plot(sma50) for the SMA, plot(adrPercent) for debugging.
Optimization: Uses dedicated variables for each line (e.g., upperLine1, lowerLine1) for clear management and to respect TradingView’s graphical object limits.
10. Possible Improvements
Option to show lines only on the last bar: Would reduce visual clutter.
Customizable line styles: Allow users to choose color or style (e.g., dashed).
Alert for anomalous ADR%: A message if ADR% is too small or large.
Dynamic levels: Allow users to specify ADR% multiples via input.
Optimization for short timeframes: Adapt ADR% for intraday timeframes.
Conclusion
The script creates a visual indicator that helps traders identify price extension levels based on daily volatility (ADR%) relative to the 50 SMA. It is robust, configurable, and includes debugging tools (ADR% plot and labels) to verify values. The ADR% formula based on dhigh/dlow
Maancyclus Volatiliteitsindicator (2025)This Moon Cycle Volatility Indicator for TradingView is designed to help traders track and analyze market volatility around specific lunar phases, namely the Full Moon and New Moon. The indicator marks the dates of these moon phases on the chart and measures volatility using the Average True Range (ATR) indicator, which gauges market price fluctuations.
Key Features:
Moon Phase Markers: The indicator marks the Full Moon and New Moon on the chart using labels. Blue labels are placed below bars for Full Moons, while red labels are placed above bars for New Moons. These markers are based on a manually curated list of moon phase dates for the year 2025.
Volatility Calculation: The indicator calculates market volatility using the ATR (14), which provides a sense of market movement and potential risk. Volatility is plotted as histograms, with blue histograms representing volatility around Full Moons and red histograms around New Moons.
Comparative Analysis: By comparing the volatility around these moon phases to the average volatility, traders can spot potential patterns or heightened market movements. This can inform trading strategies, such as anticipating increased market activity around specific lunar events.
In essence, this tool helps traders identify potential high-volatility periods tied to lunar cycles, which could impact market sentiment and price action.
Akshay - TheOne, TheMostWanted, TheUnbeatable, TheEnd➤ All-in-One Solution (❌ No repaint):
This Technical Chart contains, MA24 Condition, Supertrend Indicator, HalfTrend Signal, Ichimoku Cloud Status, Parabolic SAR (P_SAR), First 5-Minute Candle Analysis (ORB5min), Volume-Weighted Moving Average (VWMA), Price-Volume Trend (PVT), Oscillator Composite, RSI Condition, ADX & Trend Strength.
Technicals don't lie.
🚀 Overview and Key Features
Comprehensive Multi-Indicator Approach:
The script is built to be an all-in-one technical indicator on TradingView. It integrates several well-known indicators and overlays—including Supertrend, HalfTrend, Ichimoku Cloud, various moving averages (EMA, SMA, VWMA), oscillators (Klinger, Price Oscillator, Awesome Oscillator, Chaikin Oscillator, Ultimate Oscillator, SMI Ergodic Oscillator, Chande Momentum Oscillator, Detrended Price Oscillator, Money Flow Index), ADX, and Donchian Channels—to create a composite picture of market sentiment.
Signal Generation and Alerts:
It not only calculates these indicators but also aggregates their output into “Master Candle” signals. Vertical lines are drawn on the chart with corresponding alerts to indicate potential buy or sell opportunities based on robust, combined conditions.
Visual Layering:
Through the use of colored histograms, custom candle plots, trend lines, and background color changes, the script offers a multi-layered visual representation of data, providing clarity about both short-term signals and overall market trends.
⚙️ How It Works and Functionality
MA24 Condition:
Uses the 24-period moving average as a proxy; if the price is above it, the bar is colored green, and red if below, with neutrality when conditions aren’t met.
Supertrend Indicator:
Evaluates price relative to the Supertrend level (calculated via ATR), coloring green when price is above it and red when below.
HalfTrend Signal:
Determines trend shifts by comparing the current close to a calculated trend level; green indicates an upward trend, while red suggests a downtrend.
Ichimoku Cloud Status:
Analyzes the relationship between the Conversion and Base lines; a bullish (green) signal is given when price is above both or the Conversion line is higher than the Base line.
Parabolic SAR (P_SAR):
Colors the signal based on whether the current price is above (green) or below (red) the Parabolic SAR marker, indicating stop and reverse conditions.
First 5-Minute Candle Analysis (ORB5min):
Uses key levels from the first 5-minute candle; if price exceeds the candle’s low, VWAP, and MA, it’s bullish (green), otherwise bearish (red).
Volume-Weighted Moving Average (VWMA):
Compares the current price to volume-weighted averages; a price above these levels is shown in green, below in red.
Price-Volume Trend (PVT):
Determines bullish or bearish momentum by comparing PVT to its VWAP—green when above and red when below.
Oscillator Composite:
Aggregates signals from multiple oscillators; a majority of positive results turn it green, while negative dominance results in red.
RSI Condition:
Uses a simple RSI threshold of 50, with values above signifying bullish (green) momentum and below marking bearish (red) conditions.
ADX & Trend Strength:
Reflects overall trend strength through ADX and directional movements; a combination favoring bullish conditions colors it green, with red signaling bearish pressure.
Master Candle Overall Signal:
Combines multiple indicator outputs into one “Master” signal—green for a consensus bullish trend and red for a bearish outlook.
Scalp Signal Variation:
Focused on short-term price changes, this signal adjusts quickly; green indicates improving short-term conditions, while red signals a downturn.
📊 Visualizations and 🎨 User Experience (❌ no repaint)
Dynamic Histograms & Bar Plots:
Each indicator is represented as a colored bar (with added vertical offsets) to facilitate easy comparison of their respective bullish or bearish contributions.
Clear Color-Coding & Labels:
Green (e.g., GreenFluorescent) indicates bullish sentiment.
Red (e.g., RedFluorescent) indicates bearish sentiment.
Custom labels and descriptive text accompany each bar for clarity.
Interactive Charting:
The overall background color adapts based on the “Master Candle” condition, offering an instant read on market sentiment.
The current candlestick is overlaid with color cues to reinforce the indicator’s signal, enhancing the trading experience.
Real-Time Alerts:
Vertical lines appear on signal events (buy/sell triggers), complemented by alerts that help traders stay on top of actionable market moves.
Sharp lines:
The Sharp lines are plotted based upon the EMA5 cross over with the same market trend, marks this as good time to reentry.
🔧 Settings and Customization
Flexible Timeframe Input:
Users can select their preferred timeframe for analysis, making the indicator adaptable to intraday or longer-term trading styles.
Customizable Indicator Parameters:
➤ Supertrend: Adjust ATR length and multiplier factors.
➤ HalfTrend: Tweak amplitude and channel deviation settings.
➤ Ichimoku Cloud & Oscillators: Fine-tune the conversion/base lines and oscillator lengths to match individual trading strategies.
Visual Customization:
The script’s color schemes and plotting styles can be altered as needed, giving users the freedom to tailor the interface to their taste or existing chart setups.
🌟 Uniqueness of the Concept
Integrated Multi-Indicator Synergy:
Combines a diverse range of trend, momentum, and volume-based indicators into a single cohesive system for a holistic market view.
Master Candle Aggregation:
Consolidates numerous individual signals into a "Master Candle" that filters out noise and provides a clear, consensus-based trading signal.
Layered Visual Feedback:
Uses color-coded histograms, adaptive background cues, and dynamic overlays to deliver a visually intuitive guide to market sentiment at a glance.
Customization and Flexibility:
Offers adjustable parameters for each indicator, allowing users to tailor the system to fit diverse trading styles and market conditions.
✅ Conclusion:
Robust Trading Tool & Non-Repainting Reliability:
This versatile technical analysis tool computes an extensive range of indicators, aggregates them into a stable, non-repainting “Master Candle” signal, and maintains consistent, verifiable outputs on historical data.
Holistic Market Insight & Consistent Signal Generation:
By combining trend detection, momentum oscillators, and volume analysis, the indicator delivers a comprehensive snapshot of market conditions and generates dependable signals across varying timeframes.
User-Centric Design with Rich Visual Feedback:
Customizable settings, clear color-coded outputs, adaptive backgrounds, and real-time alerts work together to provide actionable, transparent feedback—enhancing the overall trading experience.
A Unique All-in-One Solution:
The integrated approach not only simplifies complex market dynamics into an easy-to-read visual guide but also empowers systematic traders with a powerful, adaptable asset for accurate decision-making.
❤️ Credits:
Pine Script™ User Manual
Supertrend
Ichimoku Cloud
Parabolic SAR
Price Volume Trend (PVT)
Average Directional Index (ADX)
Volume Oscillator
HalfTrend
Donchian Trend
[blackcat] L3 Top and Bottom Divine JudgmentOVERVIEW
The "Top and Bottom Divine Judgment" indicator is designed to identify potential tops and bottoms in the market using a combination of EMAs, SMAs, and custom calculations based on high and low prices. It provides multiple lines and plots to help traders visualize different market conditions and potential turning points.
FEATURES
Customizable EMA and SMA periods for various calculations.
Identification of bullish and bearish trends using EMAs.
Detection of overbought and oversold conditions.
Multiple lines and histograms to indicate specific market conditions and potential reversals.
Visual alerts with colored lines and shapes.
HOW TO USE
Add the script to your TradingView chart.
Customize Settings:
Adjust the short_ema_period, long_ema_period, sma_period, high_period, low_period, and other period inputs in the "Inputs" section.
Bullish and Bearish EMAs:
bullish_ema (yellow) and bearish_ema (fuchsia) are plotted to assess the overall market trend.
When bullish_ema is above bearish_ema, it suggests an uptrend.
When bullish_ema is below bearish_ema, it suggests a downtrend.
High-Low Boundary Line:
A horizontal line at 50 (yellow) represents a midpoint in the normalized price range, helping to identify overbought or oversold conditions.
Danger and Caution, Sell Signal, etc.:
These lines indicate specific conditions where the market might be overextended or due for a reversal.
Histograms for CZS1 and CZS4:
These histograms (aqua and purple) represent changes in certain indicators, possibly related to momentum or volatility, helping traders gauge the strength of trends.
Support Line Cross:
A shape ("●") is plotted when the close price crosses above a calculated support line, which could be a buy signal.
Generate Trading Signals:
Bullish and Bearish Trends:
Use the crossover of bullish_ema and bearish_ema to identify potential trend changes.
Overbought/Oversold Conditions:
Use the High-Low Boundary Line to identify overbought or oversold levels.
Specific Market Conditions:
Use the lines for "Danger and Caution," "Sell Signal," "Weak Out Strong Stay," "Opportunity," "Low Suck," and "High Sell" to identify specific market conditions and potential reversals.
Support Line Cross:
Use the plotted shape to identify potential buy signals when the close price crosses above the support line.
Risk Management:
Use the indicator in conjunction with other tools and risk management strategies to confirm trading signals and manage positions effectively.
LIMITATIONS
The script is based on historical data and does not guarantee future performance.
It is recommended to use the script in conjunction with other analysis tools.
The effectiveness of the strategy may vary depending on the market conditions and asset being traded.
NOTES
The script is designed for educational purposes and should not be considered financial advice.
Users are encouraged to backtest the strategy on a demo account before applying it to live trades.
THANKS
Special thanks to the TradingView community for their support and feedback.
Market Correlation AnalysisMarket Correlation Analysis is an indicator that measures the correlation of any two instruments.
To express price changes in a way that is comparable, this indicator uses a percentage of the ATR as a unit.
User Inputs:
Other Symbol - the symbol which we want to compare with the symbol of the main chart.
ATR for Price Movement Normalisation - I recommend high values to get the ATR more stable across time - if the ATR drastically changes, the indicator will register that as a price movement, because the unit in which price movements are measured itself changed by a lot. However, with higher values the ATR is stable and, in my opinion, more reliable than simply a percentage change of the current price.
Correlation Length - this is the number of bars for which the correlation coefficient will be calculated.
About The Indicator:
Market Correlation Analysis expresses the price changes of both instruments in question on the same histogram.
By default, the price changes that represent the instrument of the main chart are expressed with thinner bars of stronger colour, while the price changes that represent the other instrument are expressed with much thicker bars, which are of more pale colour.
The correlation coefficient is not expressed on the histogram, as it has a different scale. Therefore, it is only showed as a number.
I hope this indicator can make it easier to understand just how much two instruments have been similar to one another over a certain period of time. The possibility to see the correlation for any given time frame can give information that very specific to any trading style.
Wick Detection (1 and 0) - AYNETDetailed Scientific Explanation
1. Wick Detection Logic
Definition of a Wick:
A wick, also known as a shadow, represents the price action outside the range of a candlestick's body (the region between open and close).
Upper Wick: Occurs when the high value exceeds the greater of open and close.
Lower Wick: Occurs when the low value is lower than the smaller of open and close.
Upper Wick Detection:
pinescript
Kodu kopyala
bool has_upper_wick = high > math.max(open, close)
This checks if the high price of the candle is greater than the maximum of the open and close prices. If true, an upper wick exists.
Lower Wick Detection:
pinescript
Kodu kopyala
bool has_lower_wick = low < math.min(open, close)
This checks if the low price of the candle is less than the minimum of the open and close prices. If true, a lower wick exists.
2. Binary Representation
The presence of a wick is encoded as a binary value for simplicity and computational analysis:
Upper Wick: Represented as 1 if present, otherwise 0.
pinescript
Kodu kopyala
float upper_wick_binary = has_upper_wick ? 1 : 0
Lower Wick: Represented as 1 if present, otherwise 0. This value is inverted (-1) for visualization purposes.
pinescript
Kodu kopyala
float lower_wick_binary = has_lower_wick ? 1 : 0
3. Visualization with Histograms
The plot function is used to create histograms for visualizing the binary wick data:
Upper Wicks: Plotted as positive values with green columns:
pinescript
Kodu kopyala
plot(upper_wick_binary, title="Upper Wick", color=color.new(color.green, 0), style=plot.style_columns, linewidth=2)
Lower Wicks: Plotted as negative values with red columns:
pinescript
Kodu kopyala
plot(lower_wick_binary * -1, title="Lower Wick", color=color.new(color.red, 0), style=plot.style_columns, linewidth=2)
Features and Applications
1. Wick Visualization:
Upper wicks are displayed as positive green columns.
Lower wicks are displayed as negative red columns.
This provides a clear visual representation of wick presence in historical data.
2. Technical Analysis:
Wick formations often indicate market sentiment:
Upper Wicks: Sellers pushed the price lower after buyers drove it higher, signaling rejection at the top.
Lower Wicks: Buyers pushed the price higher after sellers drove it lower, signaling rejection at the bottom.
3. Signal Generation:
Traders can use wick detection to build strategies, such as identifying key price levels or market reversals.
Enhancements and Future Improvements
1. Wick Length Measurement
Instead of binary detection, measure the actual length of the wick:
pinescript
Kodu kopyala
float upper_wick_length = high - math.max(open, close)
float lower_wick_length = math.min(open, close) - low
This approach allows for thresholds to identify significant wicks:
pinescript
Kodu kopyala
bool significant_upper_wick = upper_wick_length > 10 // For wicks longer than 10 units.
bool significant_lower_wick = lower_wick_length > 10
2. Alerts for Long Wicks
Trigger alerts when significant wicks are detected:
pinescript
Kodu kopyala
alertcondition(significant_upper_wick, title="Long Upper Wick", message="A significant upper wick has been detected.")
alertcondition(significant_lower_wick, title="Long Lower Wick", message="A significant lower wick has been detected.")
3. Combined Wick Analysis
Analyze both upper and lower wicks to assess volatility:
pinescript
Kodu kopyala
float total_wick_length = upper_wick_length + lower_wick_length
bool high_volatility = total_wick_length > 20 // Combined wick length exceeds 20 units.
Conclusion
This script provides a compact and computationally efficient way to detect candlestick wicks and represent them as binary data. By visualizing the data with histograms, traders can easily identify wick formations and use them for technical analysis, signal generation, and volatility assessment. The approach can be extended further to measure wick length, detect significant wicks, and integrate these insights into automated trading systems.
SMI Ergodic Indicator/Oscillator of Money Flow Index▮ Introduction
The Stochastic Momentum Index Ergodic (SMII) indicator is a technical analysis tool designed to predict trend reversals in the price of an asset.
It functions as a momentum oscillator, measuring the ratio of the smoothed price change to the smoothed absolute price change over a given number of previous periods.
The Ergodic SMI is based on the True Strength Index (TSI) and integrates a signal line, which is an exponential moving average (EMA) of the SMI indicator itself.
The Ergodic SMI oscillator provides a clearer picture of market trends than the traditional stochastic oscillator by incorporating the concept of 'ergodicity', which helps remove market noise.
On ther other hand, MFI (Money Flow Index) is a technical analysis indicator used to measure the inflow of money into an asset and thus help identify buying and selling pressure in a given financial instrument.
When these two indicators are combined, they can provide a more comprehensive view of price direction and market strength.
▮ Motivation: why another indicator?
By combining SMII with MFI, we can gain even more insights into the market.
One way to do this is to use the MFI as an input to the SMII, rather than just using price.
This means we are measuring momentum based on buying and selling pressure rather than just price.
Furthermore, there is the possibility of making several fine adjustments to both the calculation and visualization parameters that are not present in other indicators.
▮ What to look for
When using the SMII MFI indicator, there are a few things to look out for.
First, look at the SMII signal line.
When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal.
Also, pay attention to divergences between the SMII and the price.
If price is rising but the SMII is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing.
Likewise, if price is falling but the SMII is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing.
Divergences can be considered in both indicator and/or histogram.
Examples:
▮ Notes
The indicator presented here offers both the 'SMII' and the 'SMIO', that is, the 'Stochastic Momentum Index Ergodic Indicator' together with the 'Stochastic Momentum Index Ergodic Oscillator' (histogram), as per the documentation described in reference links.
So it is important to highlight the differences in relation to my other indicator, the 'Stochastic Momentum Index (SMI) of Money Flow Index (MFI)':
This last one is purely based on the SMI , which is implemented using SMA smoothing for the relative range and the high/low range.
Although they may seem the same in some situations, the calculation is actually different. The TSI tends to be more responsive at the expense of being noisier, while the SMI tends to be smoother. Which of these two indicators is best depends on the situation, the context, and the analyst's personal preference.
Please refer to reference links to more info.
▮ References
SMI documentation
SMII documentation
SMIO documentation
MFI documentation
slope-velocityDescription
This Pine Script indicator, named "slope-velocity," calculates and visualizes the slope of a moving average (MA) in degrees, allowing users to observe the rate of change of the MA over time. Here's a breakdown of its components and functionality:
Inputs:
option: A dropdown menu allowing the user to select the type of moving average (SMA, EMA, DEMA).
length: An integer input for specifying the period length of the moving average.
source: The data source for the moving average calculation, defaulting to the close price.
Variable Initialization:
ma: A variable to store the moving average value, initialized as na.
Moving Average Calculation:
Depending on the selected option, the script calculates the appropriate moving average:
ta.sma(source, length) for Simple Moving Average (SMA).
ta.ema(source, length) for Exponential Moving Average (EMA).
ta.dema(source, length) for Double Exponential Moving Average (DEMA).
Slope Calculation:
slope_ma: The script calculates the slope of the moving average by subtracting the previous period's MA value from the current period's MA value (ma - ma ).
Slope Conversion to Degrees:
slope_degrees_ma: The slope is converted to degrees using the math.atan function to compute the arctangent of the slope, followed by math.todegrees to convert the result from radians to degrees. The result is rounded to the nearest integer using math.round.
Plotting Reference Lines:
Horizontal lines are plotted at specific degree values (0, 10, 20, -10, -20) to provide reference points for the slope's visualization.
Plotting the Slope:
The slope in degrees is plotted as a histogram. The color of the histogram bars is determined by the sign of the slope: green for positive slopes and red for negative slopes.
Additional Comments
The script includes some commented-out sections related to plotting acceleration and displaying labels for slope differences, which are not active in the current implementation.
The script is designed to provide a visual representation of the moving average's rate of change, making it easier to identify periods of rapid price movement and potential trend reversals.
Divergence Detector [TradingFinder] RSI + MACD + AO Oscillator 🔵 Introduction
🟣 Understanding Divergence
As mentioned, divergence occurs in technical analysis when a stock's price behaves contrary to indicators on the price chart. Divergence can signify either a reversal of the stock's trend or a continuation of the previous trend correction.
Divergences can act as reversal patterns or continuation patterns. Moreover, divergences can be utilized to identify potential support and resistance levels.
For instance, when an indicator is trending upwards and positive, but the price is declining and trending downwards, divergence occurs. Divergence in a stock indicates trader indecision in buying and selling and warns traders to reconsider their decisions regarding buying or holding the stock.
Divergence aids analysts in identifying critical price points. In indicator divergences, it serves as a potent signal in the realm of technical analysis.
🟣 Types of Divergence
1.Regular Divergence
o Positive Regular Divergence (RD+)
o Negative Regular Divergence (RD-)
2.Hidden Divergence
o Positive Hidden Divergence (HD+)
o Negative Hidden Divergence (HD-)
3.Time Divergence
Key Note : This indicator is specifically designed to identify "Regular Divergence" only. Therefore, the following explanation pertains to this type of divergence.
🔵 Regular Divergence/Convergence
Regular Divergence(Convergence) occurs due to conflicting behavior between the indicator and the price chart, typically at the end of a trend. Recognizing Regular Divergence suggests an anticipation of a trend reversal or a pattern resembling a reversal.
🟣 Positive Regular Divergence (RD+)
In contrast to negative divergence, positive Regular Divergence occurs at the end of a downtrend and between two price lows. It manifests when the price forms a new low on the price chart, but the indicator fails to recognize it.
Positive Regular Divergence indicates strong buying pressure and weak selling pressure. Following the identification of positive divergence on the chart, one can anticipate a price increase for the examined stock.
🟣 Negative Regular Divergence (RD-)
This type of Regular Divergence emerges between two price highs during an uptrend. A new high is formed on the price chart, but the indicator fails to acknowledge it. This scenario indicates negative Regular Divergence.
The likelihood of a subsequent market downturn is high. Negative divergence signifies strong selling pressure and weak buying pressure, suggesting an unfavorable future for the stock.
🔵 How to use
By utilizing the "Fractal Period" input, you can specify your desired periods for identifying divergences.
Additionally, through the "Divergence Detect Method" feature, you can choose which oscillators (MACD, RSI, or AO) to base divergence identification on.
Divergence in MACD Oscillator :
Divergence in the MACD indicator occurs when the price chart and the MACD line form a noticeable opposing pattern, meaning the price moves contrary to the MACD line. In this scenario, one expects a reversal in price direction.
Divergence in RSI Oscillator :
If divergence occurs during a downtrend on the price chart (two consecutive lows, with the second low being lower) and on the corresponding RSI point (two consecutive lows, with the second low being higher), it signifies positive Regular Divergence and implies a buying signal.
Conversely, if divergence occurs during an uptrend on the price chart (two consecutive highs, with the second high being higher) and on the corresponding RSI point (two consecutive highs, with the second high being lower), it indicates negative Regular Divergence, signaling a selling opportunity.
Divergence in AO Oscillator :
The AO indicator calculates histograms similar to the AO base. It calculates the difference between the simple moving averages of 5 and 34 periods based on the median of each bar. Then, it plots the bars based on the difference.
It then compares the histograms to detect peaks and troughs in the AO histograms and compares the identified peaks and troughs to the price. Whenever divergence is detected, it plots lines and arrows.
🔵 Table
The table contains information on the functional features of this oscillator that you can utilize. Four categories of information are presented in the table: "Exist," "Consecutive," "Divergence Quality," and "Change Phase Indicator."
Exist :
If divergence exists, you'll see "+" in this row.
Consecutive :
Divergences may occur consecutively. If same-type divergences form within short intervals, you can observe the count in this row.
Divergence Quality : Based on the number of consecutive divergences, their quality can be evaluated. If one divergence exists, its quality is considered "Normal." If two divergences exist, the quality is "Good," and if three or more divergences exist, the quality is considered "Strong."
Change Phase Indicator : If a phase change occurs between two oscillation peaks formed based on divergence, this change is identified and displayed in this row.
MACD_TRIGGER_CROSS_TRIANGLEMACD Triangle Trigger Indicator by thebearfib
Overview
The MACD Cross Triangle Indicator is a powerful tool for traders who rely on the MACD's signal line crossovers to make informed trading decisions. This indicator enhances the traditional MACD by allowing users to customize triggers for bullish and bearish signals and by displaying these signals directly on the chart with visually distinctive labels.
Features
Customizable Color Scheme: Choose distinct colors for bullish and bearish signals to fit your chart's theme or your personal preference.
Flexible Trigger Conditions: Select from a variety of trigger conditions based on MACD and signal line behaviors over a specified number of bars back.
Visual Signal Indicators: Bullish and bearish signals are marked with upward and downward triangles, making it easy to spot potential entry or exit points.
Detailed Trigger Descriptions: A comprehensive table lists all available triggers and their descriptions, aiding in selection and understanding of each trigger's mechanism.
Configuration Options
Bullish and Bearish Colors: Customize the color of the labels for bullish (upward) and bearish (downward) signals.
Trend Lookback Period: Choose how far back (in bars) the indicator should look to determine the trend, affecting the calculation of certain triggers.
Trigger Selection for Bullish and Bearish Signals: Pick specific triggers for both bullish and bearish conditions from a list of 10 different criteria, ranging from MACD crossovers to historical comparisons of MACD, signal line, and histogram values.
Label Size and Font Settings: Adjust the size of the signal labels on the chart and the font size of the trigger descriptions table to ensure readability and fit with your chart layout.
Trigger Descriptions Table Position and Color: Customize the position and color of the trigger descriptions table to match your chart's aesthetic and layout preferences.
Trigger Mechanisms
Trigger 1 to 10: Each trigger corresponds to a specific condition involving the MACD line, signal line, and histogram. These include crossovers, directional changes compared to previous bars, and comparisons of current values to historical values.
Usage
1. Select Trigger Conditions: Choose the desired triggers for bullish and bearish signals based on your trading strategy.
2. Customize Visuals: Set your preferred colors for the bullish and bearish labels, adjust label and font sizes, and configure the trigger descriptions table.
3. Analyze Signals: Watch for the upward (bullish) and downward (bearish) triangles to identify potential trading opportunities based on MACD crossover signals.
Conclusion
The MACD Cross Triangle Indicator offers a customizable and visually intuitive way to leverage MACD crossover signals for trading. With its flexible settings and clear signal indicators, traders can tailor the indicator to fit their strategy and improve their decision-making process on TradingView.
Time Relative Volume Oscillator | Flux Charts💎 GENERAL OVERVIEW
The relative volume indicator aims to improve upon the default existing relative volume indicator by comparing volumes between previous trading sessions rather than previous candles. As such, it works best on lower time frames as there is more data to compare with. The purpose of the indicator is to show how the current bar’s volume compares to the volume at the same time on previous trading days.
There exists a couple different modes and combinations that each provide a different perspective on the trading volume.
Oscillator mode
Oscillator mode starts with the same relative volume calculation, but adds two EMAs of different lengths that diverge and converge. Like the MACD, it plots the difference as a histogram. This functions as an easy way to view when relative volume is increasing or decreasing.
How to use:
The oscillator oscillates between -1 and 1. It moves along with volume direction, so this mode can be used to view the current volume direction in a lagging fashion. In oscillating markets, this indicator can give an idea of how buy/sell volume is moving and where it currently stands. Small arrows mark where reversals are predicted, when the histogram crosses over 0. The biggest pitfall of this mode is that, in a straight trending market, the two EMAs converge and it gives a false reversal signal.
Delta mode
Delta volume mode is a step up from the buy/sell volume mode. It separates both sides into the top and bottom, while also displaying the actual volume behind it in a semi transparent overlay. The best feature, however, is the delta oscillator. This oscillator fluctuates depending on how buy/sell volume is changing and plots bullish/bearish labels when the dominant side (bullish/bearish) changes. The signals, while a bit common, can sometimes dictate large direction changes, started by a dominant volume switch.
On top of different display modes, there is also one more volume mode: buy/sell volume. Instead of only showing the total volume and relative volume, it calculates and separates buying and selling volume.
This volume mode displays differently in all three viewing modes, but the basic principle is the same. It adds a vital piece of information to the chart without adding clutter. The calculation for buy/sell volume uses the candle wicks and body to compare bullish and bearish movement.
Classic mode
Classic mode takes the default volume indicator and improves upon it by also displaying the relative volume on top of the actual volume. Relative volume is calculated similarly between the three display modes: simply by comparing the current bar’s volume to the volume at the same time during previous trading days. Classic mode displays this “relative volume” as well as a simple EMA over top of the actual trading volume.
Originality
The script improves upon the existing relative volume indicator by using previous trading days rather than previous candles to generate the relative volume. On top of that, the calculation methods are unique, using different formulas like variations of the sigmoid function to smooth noise. The main issue this script aims to fix is that towards the start or end of the day relative volume indicators all see spikes as volume grows into close. The new relative volume calculations fix this problem and show what the “true” relative volume is because they compare the current bar to the “same” bar on previous trading sessions.
Enhanced Cumulative Volume Delta [NariCapitalTrading]Enhanced Cumulative Volume Delta (eCVD) Technical Guide
Introduction
The Enhanced Cumulative Volume Delta (eCVD) is a technical indicator in trading that measures the cumulative difference between buying and selling volume over a user-defined period. It helps in understanding market sentiment by showing whether buyers or sellers dominate.
Calculation
Inputs
Period : Number of bars for cumulative volume calculation (default: 14).
MA Period : Period for the moving average of eCVD (default: 20).
Volume Delta Calculation
Buying Volume (buyVolChange) : Counted as buying volume if the current close is greater than the previous.
Selling Volume (sellVolChange) : Counted as selling volume if the current close is less than the previous.
Cumulative Volume Delta (CVD)
Cumulative buying ( cumBuyVol ) and selling volumes ( cumSellVol ) are calculated.
Every period bars, these cumulative volumes are reset.
eCVD is the difference between cumulative buying and selling volumes.
CVD Moving Average
Simple Moving Average (SMA) of eCVD calculated over maPeriod .
Interpretation
eCVD Histogram
Plotted as a histogram.
Color Coding :
Green : Positive eCVD (more buying volume).
Red : Negative eCVD (more selling volume).
Black : No significant difference between buying and selling volume.
CVD Moving Average
Moving average line (yellow) indicates eCVD trend direction and strength.
Application
Trend Confirmation : Rising eCVD suggests an uptrend; falling eCVD suggests a downtrend.
Divergence : Opposite movements in price and eCVD can indicate potential reversals.
Volume Analysis : High eCVD values signal high trading activity, significant at market extremes.
Conclusion
The eCVD can be used to analyze buyer/seller dynamics through volume. It should be used alongside other methods for informed trading decisions.
[PUZ] MACD MTB System MTFMACD Moving Average convergence/divergence
Here are a little articel how the MACD is calculated an how you can use it.
en.wikipedia.org
This Indicator have many differet spezifications than a normal MACD.
You can use different timeframes.
The histogramm workes a litle bit smother
The signalline have two different colors:
He is blue when the macd line is greater than the signalline and the signalline is red when the macd line is smaller than the signalline.
The macd line habe three different colores:
Color green when the macd line is greater than the macd line one period back and the macd line is under the signal line.
Color yellow when the macd line is smaller than the macd line one period back and the macd line is greater than the signalline.
Color gray when the conditions fot color yellow an green are not true
Three different types for Signals
The L1 signal show you a triange when the macd ist crossover or crossunder the signal line, you can use the L1 Threshold to filter the signals.
For example the L1 long threshold is equal to 0 than the Indicator show you only L1 long singnals when the crossover from the macd line to the signal line is smaller than 0.
This works like the same for all Signals (L2 signals / L3 signals)
The L2 signals show you a bigger triangle when the color from the macd line is eqal to yellow or green, you can use the L2 Threshold to filter the signals.
The L3 signals show you a green or red diamond when the histogramm is rising or falling, you can use the L3 Threshold to filter the signals.
Multibit Signal Compatible Indicator with DJMAD Multibit System
This Pine Script indicator is designed to function as part of the Multibit Signal System developed by DJMAD. It encompasses a comprehensive implementation of a MACD-based trading strategy with multiple threshold levels, color-coded signals, alert functionalities, and seamless compatibility with the Multibit Signal System for more sophisticated signal analysis and trading strategies.
Signal Daisychain:
Provides a configurable interface (Signal_Channel_Line1 to Signal_Channel_Line6) that allows users to select channel lines for Long and Short conditions, specifically designed for compatibility with the Multibit Signal System.
Multibit Signal Integration:
Utilizes functions from DJMAD's Signal_transcoder_library to encode and decode signals, ensuring compatibility with the Multibit Signal System for advanced signal processing and strategy development.
For more Informations about the Multibit System please look at djmad Tradingview Profile.
Realized Profit & Loss [BigBeluga]The Realized Loss & Profit indicator aims to find potential dips and tops in price by utilizing the security function syminfo.basecurrency + "_LOSSESADDRESSES".
The primary objective of this indicator is to present an average, favorable buying/selling opportunity based on the number of people currently in profit or loss.
The script takes into consideration the syminfo.basecurrency, so it should automatically adapt to the current coin.
🔶 USAGE
Users have the option to enable the display of either Loss or Profit, depending on their preferred visualization.
Examples of displaying Losses:
Example of displaying Profits:
🔶 CONCEPTS
The concept aims to assign a score to the data in the ticker representing the realized losses. This score will provide users with an average of buying/selling points that are better to the typical investor.
🔶 SETTINGS
Users have complete control over the script settings.
🔹 Calculation
• Profit: Display people in profit on an average of the selected length.
• Loss: Display people in loss on an average of the selected length.
🔹 Candle coloring
• True: Color the candle when data is above the threshold.
• False: Do not color the candle.
🔹 Levels
- Set the level of a specific threshold.
• Low: Low losses (green).
• Normal: Low normal (yellow).
• Medium: Low medium (orange).
• High: Low high (red).
🔹 Z-score Length: Length of the z-score moving window.
🔹 Threshold: Filter out non-significant values.
🔹 Histogram width: Width of the histogram.
🔹 Colors: Modify the colors of the displayed data.
🔶 LIMITATIONS
• Since the ticker from which we obtain data works only on the daily timeframe, we are
restricted to displaying data solely from the 1D timeframe.
• If the coin does not have any realized loss data, we can't use this script.
SuperCloudSupercloud is a MA based Trend Representation. Its different from a normal MA Cloud. Cloud starts from '0' level and rise or fall based on price.
Supercloud is plotted based on the difference of the price movement between various MA's of different length. All MA's are plotted with reference to EMA 200. So when the MA's converge or Diverge or Bounce back we can still be in the Trend unless the Cloud goes below or above Zero Line.
works in all Timeframes.
Up Trend:
-> All MA's are Above Zero and Cloud color is complete green
-> A decrease in Cloud Volume indicates a weaker Momentum
Down Trend:
-> All MA's are Below Zero and Cloud color is complete red
-> A decrease in Cloud Volume indicates a weaker Momentum
Sideways:
-> A Mixed color indicates a Sideways moment.
Cloud Outlines:
1) The outer edge of Cloud shows the actual trend.
2) its based on MA-5, when price is above MA 5 or Below MA 5 a bright green and bright red outlines are plotted.
Buy Signals Confirmation:
upper Outer Cloud must be Bright Green
Cloud under must be fully Shaded Green
Alternatively EMA crossover can be used and confirmed.
Sell Signals Confirmation:
lower Outer Cloud must be Bright Red
Cloud under must be fully Shaded Red
Alternatively EMA cross under can be used and confirmed.
MACD
MACD is also plotted within the cloud.
Color ribbon is used to plot MACD
Histogram is not present. Instead use the width of the MACD Ribbon
Correspondingly Outer Cloud represents the Histogram.
Zero Line:
Zero line is actually EMA5 which is to be treated as EMA200 for our visual representation.
A sideway channel is plotted around Zero line.
When price reaches this sideways Zone price usually get rejections and starts moving side ways.
Trend is established only after price crosses the sideway band.
Sideway is calculated based on mintick of the Asset which varies. a min value equivalent to 10EMA or value 10 must be used for better usage.
UB Profit Signal IndicatorThe UB Profit Signal indicator is a technical analysis tool designed to identify potential buy and sell signals in the market. The indicator is based on four technical indicators - Moving Average Convergence Divergence (MACD), Relative Strength Index (RSI), Bollinger Bands (BB), and volume moving average.
The script starts by defining input variables such as MACD Fast Length, MACD Slow Length, MACD Signal Length, RSI Length, etc. These variables are used to customize the indicator based on the user's preference.
The MACD is calculated using the ta.macd function, which returns three variables: the MACD Line, Signal Line, and Histogram. The MACD line is calculated as the difference between two exponential moving averages of the price. The signal line is a moving average of the MACD line. The histogram shows the difference between the MACD line and the signal line.
The RSI is calculated using the ta.rsi function, which calculates the RSI value based on the number of periods specified in the RSI Length input variable. The RSI is a momentum oscillator that measures the speed and change of price movements.
The Bollinger Bands are calculated using the ta.sma and ta.stdev functions. The Simple Moving Average (SMA) is calculated using the close price over 21 periods, while the Standard Deviation is calculated using the close price over the same 21 periods. The upper and lower bands are then calculated based on the SMA and Standard Deviation.
Finally, the buy and sell signals are generated based on specific conditions that combine the MACD, RSI, and BB values. For example, a buy signal is generated when the RSI value is greater than 30, the volume is greater than the volume moving average, the close price is greater than the 9-period SMA, and the close price is between the upper and lower BBs. Similarly, a sell signal is generated when the RSI value is less than 40, the volume is greater than the volume moving average, the close price is less than the 9-period SMA, and the close price is between the upper and lower BBs.
The buy and sell signals are plotted on the chart using the plotshape function, which creates triangular shapes above and below the bars to indicate the signals. Green triangles indicate a buy signal, while red triangles indicate a sell signal. Overall, the UB Profit Signal indicator can be useful for traders looking to identify potential buy and sell signals in the market and take advantage of price movements.
Deemer Breakaway Momentum ThrustBreakaway momentum is a "breadth thrust" coined by Walter Deemer in the 1970s that occurs when the ten-day total advances on the NYSE are greater than 1.97 times the ten-day total NYSE declines.
This indicator calculates the ratio and plots it as a histogram. The 1.97 threshold is also plotted as a horizontal line. Anytime the histogram gets above the line Breakaway Momentum has occurred.
This is a rare signal that has only happened 25 times since 1945.
TASC 2022.12 Short-Term Continuation And Reversal Signals█ OVERVIEW
TASC's December 2022 edition Traders' Tips includes an article by Barbara Star titled "Short-Term Continuation And Reversal Signals". This is the code that implements the concepts presented in this publication.
█ CONCEPTS
The article takes two classic indicators, the Commodity Channel Index (CCI) and the Directional Movement Indicator (DMI), makes changes to the traditional ways of visualizing their readings, and uses them together to generate potential signals. The author first discusses the benefits of converting the DMI indicator to an oscillator format by subtracting the −DI from the +DI, which is then displayed as a histogram. Next, the author shows how the use of an on-chart visual framework (i.e., choosing the line style and color, coloring price bars, etc.) can help traders interpret the signals produced the considered pair of indicators.
█ CALCULATIONS
The article offers the following signals based on the readings of the DMI and CCI pair, suitable for several types of trades:
• Short-term trend change signals:
A DMI oscillator above zero indicates that prices are in an uptrend. A DMI oscillator below the zero line and falling means that selling pressure is dominating and price is trending down. The sign of the DMI oscillator is indicated by the color of the price bars (which correlates with the color of the DMI histogram). Namely, green, red and grey price bars correspond to the DMI oscillator above, below and equal to zero . Colored price bars and the DMI oscillator make it easy for trend traders to recognize changes in short-term trends.
• Trend continuation signals:
Blue circles appear near the bottom of the oscillator chart border when the DMI is above the zero line and the price is above its simple moving average in an uptrend . Dark red circles appear near the top of the chart in a downtrend when the DMI oscillator is below its zero line and below the 18-period moving average. Trend continuation signals are useful for those looking to add to existing positions, as well as for traders waiting for a pullback after a trend has started.
• Reversal signals:
The CCI signals a reversal to the downside when it breaks out of its +100 and then returns at some point, crossing below the +100 level. This is indicated by a magenta-colored diamond shape near the top the chart. The CCI signals a reversal to the upside when it moves below its −100 level and then at some point comes back to cross above the −100 level. This is indicated by a yellow diamond near the bottom of the chart. Reversal signals offer short-term rallies for countertrend traders as well as for swing traders looking for longer-term moves using the interplay between continuation and reversal signals.
