Fund Master Plus (TV Rev1, Dec2024)License: Mozilla Public License 2.0 (Open Source)
Version: Pine Script™ v6
Indicator Name: Fund Master Plus (TV Rev1, Dec2024)
Short Title: Fund Master Plus
About Fund Master Plus
Fund Master Plus indicator is an oscillating technical analysis tool designed to simulate the fund inflow and outflow trend.
Key features:
1. Fund Master Value and Candle
The candle highlights the direction of the Fund Master value.
Green candles represent an upward trend, while red candles indicate a downward trend.
When the candle crossover 0, it is a sign of the start of mid term bull, vice versa.
When the candle is above 0, it is a sign of mid-term bull, vice versa.
2. Fund Master Bar
This bar provides added visual representation of the Fund Master value.
Green bars represent and upward trend, while red bars indicate a downward trend.
3. FM EMA (Exponential Moving Average)
The Fund Master EMA (Exponential Moving Average) helps smooth out FM value fluctuations
and identify the overall trend.
When the candle crossover FM EMA, it is a sign of the start of short term bull, vice vera.
When the candle is above FM EMA, it is a sign of short term bull, vice versa.
4. EMA of FM EMA
This is an EMA of the Fund Master EMA, which can provide additional insights into the
trend's strength.
5. Candle Turn Green or Red
This feature generates alerts to signal potential trend changes.
6. Bottom Deviation & Top Deviation
Line plot and label of these deviation will show on indicator and the price chart to help user
identify potential buying and selling opportunities.
7. Alertcondition for Turn Green or Turn Red
User can set the alert using the Create Alert (the Clock Icon).
8. Table Summary
A table summary is provided to show indicator name, FM value, FM candle status,
Crossover, Crossunder, Turn Green, Turn Red status, Bar Number etc.
A tooltip for Filter Setting and a filter status check.
SOP to use the indicator:
Table (GR1):
Show Table: This option enables or disables the display of the table.
Text Size: This option allows you to set the text size for the table entries.
Width: This option sets the width of the table.
Fund Master Candle Color Setting (GR2):
FM candle will up by default.
This option enables the color setting of Fund Master candle.
Up: This option sets the color of the Fund Master candle for uptrend.
Down: This option sets the color of the Fund Master candle for downtrend.
Fund Master Bar and Color Setting (GR3):
Show Fund Master Bar: This option enables or disables the display of the Fund Master bar.
Up: This option sets the color of the Fund Master bar for uptrend.
Down: This option sets the color of the Fund Master bar for downtrend.
Fund Master EMA plots (GR4):
Show FM EMA: This option enables or disables the display of the Fund Master EMA line.
Look Back Period: This option sets the lookback period for the Fund Master EMA calculation.
EMA Color: This option sets the color of the Fund Master EMA line.
Show EMA of FM EMA: This option enables or disables the display of the EMA of the Fund Master EMA line.
Look Back Period 2: This option sets the lookback period for the EMA of the Fund Master EMA calculation.
Alerts: Fund Master Crossover & Crossunder EMA Line or 0 (GR5):
Show FM Crossover 0: This option enables or disables the display of the alert for FM crossover above the 0 line.
Show FM Crossunder 0: This option enables or disables the display of the alert for FM crossover below the 0 line.
Show FM Crossover EMA: This option enables or disables the display of the alert for FM crossover above the EMA line.
Show FM Crossunder EMA: This option enables or disables the display of the alert for FM crossover below the EMA line.
Bottom and Top Deviation (GR6):
Show Bottom Deviation: This option enables or disables the display of the bottom deviation line.
Show Top Deviation: This option enables or disables the display of the top deviation line.
Turn Green, Turn Red Alert (GR7):
Show Turn Green/Red Alerts: This option enables or disables the display of alerts for when the Fund Master value changes direction.
Current & Turn Green/Red Alerts: This option sets the number of bars to look back for the turn green/red alerts.
Band and User Input Setting (GR8):
100: This option enables or disables the display of the 100 band.
0: This option enables or disables the display of the 0 band.
-100: This option enables or disables the display of the -100 band.
User Input: This option enables or disables the display of a custom band based on user input.
Value: This option sets the value for the custom band.
Disclaimer
Attached chart is for the purpose of illustrating the use of indicator, no recommendation of buy/sell.
In this chart, all features in the setting are turned on (default and non default).
This chart is used to demonstrate the FM trend movement from mid-term bear to mid-term bull,
short-term bear and bull, bottom deviation and top deviation.
Hope this help. Merry Christmas and Happy New Year.
M-oscillator
Cumulative Force Oscillator with MACDCumulative Force Oscillator with MACD
The Cumulative Force Oscillator with MACD is an advanced technical indicator designed to provide traders with a unique perspective on market momentum and trend strength. By combining the power of cumulative candle force analysis with MACD crossover signals, this indicator offers a multifaceted approach to market analysis.
Key Features
1. Cumulative Force Calculation**: Measures the net force of price movements over a specified number of candles.
2. MACD Integration**: Incorporates MACD crossover signals for additional trend confirmation.
3. Visual Cues**: Utilizes color-coded oscillator lines and background zones for easy interpretation.
4. **Dynamic Labeling**: Displays real-time force values and percentage changes.
How It Works
Cumulative Force Calculation
The indicator calculates the "force" of each candle by subtracting the open price from the close price. It then sums this force over a user-defined number of candles to create a cumulative force value. This value oscillates above and below zero, indicating bullish or bearish pressure respectively.
MACD Crossover Detection
The indicator uses the standard MACD (12, 26, 9) to detect bullish and bearish crossovers. These crossovers are visually represented by colored background zones, providing an additional layer of trend confirmation.
Visual Representation
- The main oscillator line is plotted in green when above zero (bullish) and red when below zero (bearish).
- Background colors change based on MACD crossovers: light blue for bullish crossovers and light orange for bearish crossovers.
- A dynamic label displays the current cumulative force value and its percentage change from the previous period.
Interpretation
1. Oscillator Line : When the line is above zero, it indicates net bullish pressure; below zero suggests net bearish pressure.
2. Oscillator Momentum : The steepness and direction of the oscillator line indicate the strength and direction of the current market force.
3. MACD Crossovers : Blue background zones suggest potential bullish trends, while orange zones indicate potential bearish trends.
4. Divergences : Look for divergences between the oscillator and price action for potential trend reversal signals.
Customization
Users can customize several aspects of the indicator :
- Number of candles for force calculation
- Label offset and text size
- Color schemes (through code modification)
Conclusion
The Cumulative Force Oscillator with MACD is a versatile tool that combines momentum analysis with trend confirmation signals. By providing a visual representation of cumulative market force alongside MACD crossovers, it offers traders a comprehensive view of market dynamics. This indicator can be particularly useful for identifying potential trend reversals, confirming existing trends, and gauging overall market strength.
Kernel Regression Envelope with SMI OscillatorThis script combines the predictive capabilities of the **Nadaraya-Watson estimator**, implemented by the esteemed jdehorty (credit to him for his excellent work on the `KernelFunctions` library and the original Nadaraya-Watson Envelope indicator), with the confirmation strength of the **Stochastic Momentum Index (SMI)** to create a dynamic trend reversal strategy. The core idea is to identify potential overbought and oversold conditions using the Nadaraya-Watson Envelope and then confirm these signals with the SMI before entering a trade.
**Understanding the Nadaraya-Watson Envelope:**
The Nadaraya-Watson estimator is a non-parametric regression technique that essentially calculates a weighted average of past price data to estimate the current underlying trend. Unlike simple moving averages that give equal weight to all past data within a defined period, the Nadaraya-Watson estimator uses a **kernel function** (in this case, the Rational Quadratic Kernel) to assign weights. The key parameters influencing this estimation are:
* **Lookback Window (h):** This determines how many historical bars are considered for the estimation. A larger window results in a smoother estimation, while a smaller window makes it more reactive to recent price changes.
* **Relative Weighting (alpha):** This parameter controls the influence of different time frames in the estimation. Lower values emphasize longer-term price action, while higher values make the estimator more sensitive to shorter-term movements.
* **Start Regression at Bar (x\_0):** This allows you to exclude the potentially volatile initial bars of a chart from the calculation, leading to a more stable estimation.
The script calculates the Nadaraya-Watson estimation for the closing price (`yhat_close`), as well as the highs (`yhat_high`) and lows (`yhat_low`). The `yhat_close` is then used as the central trend line.
**Dynamic Envelope Bands with ATR:**
To identify potential entry and exit points around the Nadaraya-Watson estimation, the script uses **Average True Range (ATR)** to create dynamic envelope bands. ATR measures the volatility of the price. By multiplying the ATR by different factors (`nearFactor` and `farFactor`), we create multiple bands:
* **Near Bands:** These are closer to the Nadaraya-Watson estimation and are intended to identify potential immediate overbought or oversold zones.
* **Far Bands:** These are further away and can act as potential take-profit or stop-loss levels, representing more extreme price extensions.
The script calculates both near and far upper and lower bands, as well as an average between the near and far bands. This provides a nuanced view of potential support and resistance levels around the estimated trend.
**Confirming Reversals with the Stochastic Momentum Index (SMI):**
While the Nadaraya-Watson Envelope identifies potential overextended conditions, the **Stochastic Momentum Index (SMI)** is used to confirm a potential trend reversal. The SMI, unlike a traditional stochastic oscillator, oscillates around a zero line. It measures the location of the current closing price relative to the median of the high/low range over a specified period.
The script calculates the SMI on a **higher timeframe** (defined by the "Timeframe" input) to gain a broader perspective on the market momentum. This helps to filter out potential whipsaws and false signals that might occur on the current chart's timeframe. The SMI calculation involves:
* **%K Length:** The lookback period for calculating the highest high and lowest low.
* **%D Length:** The period for smoothing the relative range.
* **EMA Length:** The period for smoothing the SMI itself.
The script uses a double EMA for smoothing within the SMI calculation for added smoothness.
**How the Indicators Work Together in the Strategy:**
The strategy enters a long position when:
1. The closing price crosses below the **near lower band** of the Nadaraya-Watson Envelope, suggesting a potential oversold condition.
2. The SMI crosses above its EMA, indicating positive momentum.
3. The SMI value is below -50, further supporting the oversold idea on the higher timeframe.
Conversely, the strategy enters a short position when:
1. The closing price crosses above the **near upper band** of the Nadaraya-Watson Envelope, suggesting a potential overbought condition.
2. The SMI crosses below its EMA, indicating negative momentum.
3. The SMI value is above 50, further supporting the overbought idea on the higher timeframe.
Trades are closed when the price crosses the **far band** in the opposite direction of the trade. A stop-loss is also implemented based on a fixed value.
**In essence:** The Nadaraya-Watson Envelope identifies areas where the price might be deviating significantly from its estimated trend. The SMI, calculated on a higher timeframe, then acts as a confirmation signal, suggesting that the momentum is shifting in the direction of a potential reversal. The ATR-based bands provide dynamic entry and exit points based on the current volatility.
**How to Use the Script:**
1. **Apply the script to your chart.**
2. **Adjust the "Kernel Settings":**
* **Lookback Window (h):** Experiment with different values to find the smoothness that best suits the asset and timeframe you are trading. Lower values make the envelope more reactive, while higher values make it smoother.
* **Relative Weighting (alpha):** Adjust to control the influence of different timeframes on the Nadaraya-Watson estimation.
* **Start Regression at Bar (x\_0):** Increase this value if you want to exclude the initial, potentially volatile, bars from the calculation.
* **Stoploss:** Set your desired stop-loss value.
3. **Adjust the "SMI" settings:**
* **%K Length, %D Length, EMA Length:** These parameters control the sensitivity and smoothness of the SMI. Experiment to find settings that work well for your trading style.
* **Timeframe:** Select the higher timeframe you want to use for SMI confirmation.
4. **Adjust the "ATR Length" and "Near/Far ATR Factor":** These settings control the width and sensitivity of the envelope bands. Smaller ATR lengths make the bands more reactive to recent volatility.
5. **Customize the "Color Settings"** to your preference.
6. **Observe the plots:**
* The **Nadaraya-Watson Estimation (yhat)** line represents the estimated underlying trend.
* The **near and far upper and lower bands** visualize potential overbought and oversold zones based on the ATR.
* The **fill areas** highlight the regions between the near and far bands.
7. **Look for entry signals:** A long entry is considered when the price touches or crosses below the lower near band and the SMI confirms upward momentum. A short entry is considered when the price touches or crosses above the upper near band and the SMI confirms downward momentum.
8. **Manage your trades:** The script provides exit signals when the price crosses the far band. The fixed stop-loss will also close trades if the price moves against your position.
**Justification for Combining Nadaraya-Watson Envelope and SMI:**
The combination of the Nadaraya-Watson Envelope and the SMI provides a more robust approach to identifying potential trend reversals compared to using either indicator in isolation. The Nadaraya-Watson Envelope excels at identifying potential areas where the price is overextended relative to its recent history. However, relying solely on the envelope can lead to false signals, especially in choppy or volatile markets. By incorporating the SMI as a confirmation tool, we add a momentum filter that helps to validate the potential reversals signaled by the envelope. The higher timeframe SMI further helps to filter out noise and focus on more significant shifts in momentum. The ATR-based bands add a dynamic element to the entry and exit points, adapting to the current market volatility. This mashup aims to leverage the strengths of each indicator to create a more reliable trading strategy.
Price Changes Relative to Previous CloseThis script displays the price values in percentages (open, high, low, and close) of the current bars relative to the previous bar's close. This helps visualize the amplitude of price movements. Depending on the user's choice, the display can be in the form of candles or bars.
Main steps of the script
Retrieves the previous bar's closing price.
Calculates the percentage changes in the open, high, low, and close prices of the current bar relative to the previous bar's close.
Sets the colors for bullish (green) and bearish (red) candles/bars.
Allows the user to choose the display type (candles or bars).
Displays the candles or bars on the chart.
Creates arrays to store the highs and lows of the last 252 bars and filters them based on the current bar's close.
Calculates the average values of the highs and lows for the filtered bars and displays them on the chart.
Изменение цен относительно предыдущего закрытия
Этот скрипт отображает значения цен в процентах (открытие, высокие, низкие и закрытие) текущих баров относительно закрытия предыдущего бара. Это помогает визуализировать амплитуду движений цен. В зависимости от выбора пользователя, отображение может быть в виде свечей или баров.
Основные шаги скрипта
Получает цену закрытия предыдущего бара.
Вычисляет процентные изменения открытой, высокой, низкой и закрытой цен текущего бара относительно закрытия предыдущего бара.
Настраивает цвета для бычьих (зелёных) и медвежьих (красных) свечей/баров.
Позволяет пользователю выбирать тип отображения (свечи или бары).
Отображает свечи или бары на графике.
Создаёт массивы для хранения максимумов и минимумов за последние 252 бара и фильтрует их в зависимости от закрытия текущего бара.
Вычисляет средние значения максимумов и минимумов для отфильтрованных баров и отображает их на графике.
Range PolarityDescription:
This indicator is a "Rate of Change" style oscillator designed to measure market dynamics through the lens of price ranges. By utilizing the true range in conjunction with high and low separation, this script produces two distinct oscillators: one for positive price shifts and one for negative price shifts.
Key Features:
High/Low Isolation:
The script calculates the relative movement of upwards and downwards price movements over a user-defined period. This separation provides a nuanced view of market behavior, offering two separate signals for comparison.
Dynamic Transform Smoothing:
A smoothing transform is applied to the signals, ensuring better outlier handling while maintaining sensitivity to price extremes. This makes the oscillator especially suited for identifying overbought and oversold conditions.
Zero-Centered:
The zero line acts as a "gravity point," where shifts away or toward zero indicate market momentum. Signal crosses or reversals from extreme zones can signal potential entry or exit points.
Outlier Identification:
Unlike traditional ATR based strategies (e.g., Keltner Channels ), this indicator isolates high and low ranges, creating a more granular view of market extremes. These measurements can help identify shifts from the outlying positions and reversal opportunities.
Visual Enhancements:
Multiple layers enhance the visual distinction of the positive and negative transformations. Horizontal lines at key thresholds provide visual reference for overbought, oversold, and equilibrium zones.
How to Use:
Primary signals are shifts from outlying positions or a positive/negative cross. An extreme reading itself can reveal an incoming reversal when calibrated with other indicators or compared with higher timeframes. Pairing "Range Polarity" with volume and momentum can create a comprehensive strategy.
In conclusion, be aware the base length controls the window for high/low contributions while the transform smoothing enhances the raw data through normalization within a tempered range to filter out insignificant fluctuations.
Merry Christmas to all and have a Happy New Year!
Enhanced Price Z-Score OscillatorThe Enhanced Price Z-Score Oscillator by tkarolak is a powerful tool that transforms raw price data into an easy-to-understand statistical visualization using Z-Score-derived candlesticks. Simply put, it shows how far prices stray from their average in terms of standard deviations (Z-Scores), helping traders identify when prices are unusually high (overbought) or unusually low (oversold).
The indicator’s default feature displays Z-Score Candlesticks, where each candle reflects the statistical “distance” of the open, high, low, and close prices from their average. This creates a visual map of market extremes and potential reversal points. For added flexibility, you can also switch to Z-Score line plots based on either Close prices or OHLC4 averages.
With clear threshold lines (±2σ and ±3σ) marking moderate and extreme price deviations, and color-coded zones to highlight overbought and oversold areas, the oscillator simplifies complex statistical concepts into actionable trading insights.
ATR Oscillator with Dots and Dynamic Zero LineWhat It Is
The ATR Oscillator with Dots and Dynamic Zero Line is a custom indicator based on the Average True Range (ATR), designed to provide traders with enhanced insights into market volatility and directional bias. Unlike traditional ATR oscillators that plot continuous lines, this version uses distinct dots to display ATR values and includes a dynamic zero line that changes color based on market direction (uptrend, downtrend, or consolidation).
How It Works
ATR Calculation:
The indicator calculates the Average True Range over a user-defined period (default: 14 bars). ATR measures market volatility by considering the range between the high, low, and close of each bar.
Dots for ATR Values:
Instead of plotting ATR values as a continuous line, the indicator represents each value as an individual blue dot. This format highlights changes in volatility without visually connecting them, helping to avoid false trends and clutter.
Dynamic Zero Line:
A horizontal zero line provides additional directional context. The line changes color dynamically:
Green: Indicates an uptrend (price is consistently closing higher over consecutive bars).
Red: Indicates a downtrend (price is consistently closing lower over consecutive bars).
Gray: Indicates market consolidation or sideways movement (no clear trend in price).
The thickness and step-like style of the zero line make it visually prominent, enabling quick interpretation of market direction.
What It Does
Visualizes Market Volatility:
By plotting ATR values as dots, the oscillator emphasizes periods of heightened or reduced market activity, helping traders anticipate breakout opportunities or avoid low-volatility zones.
Provides Trend Context:
The dynamic zero line gives traders a clear signal of the prevailing market trend (uptrend, downtrend, or consolidation), which can be used to align trading strategies with the broader market context.
Avoids Misleading Trends:
Unlike traditional ATR oscillators that use continuous lines, this version eliminates visual artifacts caused by noise, such as false trends during consolidation periods.
Simplifies Interpretation:
The combination of ATR dots and a color-coded zero line creates a straightforward and intuitive tool for assessing both volatility and market direction.
Why It’s More Useful Than a Traditional ATR Oscillator
Enhanced Visibility:
The use of dots instead of a continuous line makes it easier to spot discrete changes in ATR values, avoiding visual clutter and false impressions of smooth trends.
Dynamic Market Context:
Traditional ATR oscillators only measure volatility, offering no indication of market direction. The dynamic zero line in this oscillator adds valuable directional context, helping traders align their strategies with the trend.
Better for Range-Bound Markets:
The zero line’s color-changing feature highlights consolidation periods, enabling traders to identify and avoid trading during sideways, low-volatility conditions where false signals are common.
Quick Decision-Making:
With clear visual cues (dots and color-coded lines), traders can quickly assess market conditions without needing to analyze multiple charts or indicators.
Improved Confluence:
The oscillator’s signals can easily be combined with other tools like VWAP, Volume Profile, or Order Flow indicators for more confident trade decisions.
When to Use It
Trending Markets:
Use the dynamic zero line to confirm the market’s direction and align trades accordingly.
Breakout Opportunities:
Look for periods of increasing ATR (dots moving higher) to anticipate high-volatility breakout scenarios.
Avoiding Noise:
During consolidation (gray zero line), this oscillator warns traders to wait for clearer signals before entering trades.
PROWIN STUDY ALTCOIN INDEXPROWIN STUDY ALTCOIN INDEX
This indicator tracks the performance of key altcoin dominance indices (BTC.D, ETH.D, USDT.D, USDC.D, and DAI.D) by analyzing their closing prices. It calculates an Exponential Moving Average (EMA) to highlight the overall trend of the altcoin market. Key horizontal levels representing support (limit up), resistance (limit down), and a central line are drawn to help identify potential price action zones. This indicator is designed for analysis on the others.d asset in a daily timeframe, providing insights into market movements and altcoin dominance shifts.
Double RSIDouble RSI (DRSI) Indicator
The Double RSI (DRSI) is a technical analysis tool designed to provide traders with enhanced buy and sell signals by identifying uptrend and downtrend thresholds. It refines traditional RSI-based signals by applying a "double calculation" to the Relative Strength Index (RSI), improving precision in detecting trend changes.
Key Concepts Behind the Indicator
1. Double RSI Calculation
The DRSI indicator takes the standard RSI (calculated using the closing price over a specified length) and applies a second RSI calculation to it. This creates a smoother, more refined RSI value, making it more effective at highlighting the general trend of the market.
RSI: Measures the strength of recent price movements, ranging from 0 to 100.
Double RSI (DRSI): Applies the RSI formula to the RSI values themselves, smoothing out fluctuations and generating clearer signals.
How Does the Indicator Work?
The DRSI identifies uptrends and downtrends using two user-defined thresholds:
Uptrend Threshold (Default = 59): A value above this threshold signals a potential shift into an uptrend.
Downtrend Threshold (Default = 52): A value below this threshold signals a potential shift into a downtrend.
Signal Generation
Buy Signal: A crossover occurs when the DRSI value crosses above the Downtrend Threshold, signaling the beginning of an upward movement.
Sell Signal: A crossunder occurs when the DRSI value crosses below the Uptrend Threshold, signaling the beginning of a downward movement.
Customizable Inputs
The indicator offers customizable settings for increased flexibility:
DRSI Length (Default = 13): Determines the lookback period for RSI calculations. A shorter length increases sensitivity, while a longer length smooths the signals.
Uptrend Threshold (Default = 59): Sets the level above which an uptrend is confirmed.
Downtrend Threshold (Default = 52): Sets the level below which a downtrend is confirmed.
Bar Color and Glow Effects: Traders can enable colored candles or glowing DRSI lines for better visual representation.
Why is This Indicator Useful for Traders?
1. Noise Reduction
By applying a second RSI calculation, the DRSI smooths out minor fluctuations and highlights the overall trend.
2. Clear Uptrend and Downtrend Signals
The indicator provides intuitive buy (green arrow) and sell (red arrow) markers, simplifying decision-making.
3. Customizable Thresholds
Traders can adjust the thresholds and length to better suit specific trading strategies or market conditions.
4. Bar Coloring
Bars are color-coded to indicate the trend:
Green (Above Uptrend Threshold): Indicates an uptrend.
Red (Below Downtrend Threshold): Indicates a downtrend.
How the Indicator Appears on the Chart
DRSI Line: A smooth line derived from the double RSI calculation.
Threshold Lines: Two horizontal lines (green for the Uptrend Threshold, red for the Downtrend Threshold) to visualize trend changes.
Colored Candles: Candlesticks dynamically change color based on the trend direction (green for uptrends, red for downtrends).
Buy/Sell Markers:
Buy Signal: A green upward triangle below the bar, marking the start of an uptrend.
Sell Signal: A red downward triangle above the bar, marking the start of a downtrend.
In Summary
The Double RSI (DRSI) indicator is a powerful tool for identifying uptrends and downtrends with:
Smoothed trend detection using double-calculated RSI values.
Clear, actionable buy and sell signals.
Customizable settings to match different trading styles.
By focusing on trend thresholds rather than overbought or oversold levels, the DRSI provides traders with precise, noise-free signals to optimize their trading decisions.
Polyphase MACD (PMACD)The Polyphase MACD (PMACD) uses polyphase decimation to create a continuous estimate of higher timeframe MACD behavior. The number of phases represents the timeframe multiplier - for example, 3 phases approximates a 3x higher timeframe.
Traditional higher timeframe MACD indicators update only when each higher timeframe bar completes, creating stepped signals that can miss intermediate price action. The PMACD addresses this by maintaining multiple phase-shifted MACD calculations and combining them with appropriate anti-aliasing filters. This approach eliminates the discrete jumps typically seen in higher timeframe indicators, though the resulting signal may sometimes deviate from the true higher timeframe values due to its estimative nature.
The indicator processes price data through parallel phase calculations, each analyzing a different time-offset subset of the data. These phases are filtered and combined to prevent aliasing artifacts that occur in simple timeframe conversions. The result is a smooth, continuous signal that begins providing meaningful values immediately, without requiring a warm-up period of higher timeframe bars.
The PMACD maintains the standard MACD components - the MACD line (fast MA - slow MA), signal line, and histogram - while providing a more continuous view of higher timeframe momentum. Users can select between EMA and SMA calculations for both the oscillator and signal components, with all calculations benefiting from the same polyphase processing technique.
Polyphase Stochastic RSI (PSRSI)The Polyphase Stochastic RSI (PSRSI) provides a continuous estimate of higher timeframe Stochastic RSI behavior by using polyphase decimation. The number of phases represents the timeframe multiplier - for example, 3 phases approximates a 3x higher timeframe.
While traditional higher timeframe indicators only update at the completion of each higher timeframe bar, the PSRSI creates a continuous signal by maintaining multiple phase-shifted calculations and combining them with appropriate anti-aliasing filters. This approach eliminates the gaps and discontinuities typically seen in higher timeframe indicators, though the resulting signal may sometimes deviate from the true higher timeframe values due to its estimative nature.
The indicator processes data through parallel phase calculations, each handling a different subset of price data offset in time. These phases are then filtered and combined to prevent aliasing artifacts that occur in simple timeframe conversions. The result is a smooth, continuous signal that starts providing meaningful values immediately, without requiring a warm-up period of higher timeframe bars.
Users can choose between RSI and Stochastic RSI modes, with both benefiting from the same polyphase processing technique. The indicator maintains the standard interpretation of overbought and oversold conditions while providing a more continuous view of higher timeframe momentum.
[blackcat] L1 Enveloped Oscillator█ OVERVIEW
The script is an indicator named “ L1 Enveloped Oscillator” (L1 EO) designed to plot various trend and oscillator values on a separate chart pane. It calculates multiple indicators such as trend, adjusted trend, oscillator, directional strength, and normalized oscillator, and uses these to detect potential buy and sell signals based on trend contractions, expansions, and divergences.
█ LOGICAL FRAMEWORK
Structure:
1 — Input Parameters: None are explicitly defined, but the script is parameterized within the function with fixed values for levels and periods.
2 — Calculations: The calculate_l1_enveloped_oscillator function computes multiple values including price bases, trend, oscillator, and adjusted trends. This function uses built-in Pine Script functions like ta.highest, ta.lowest, ta.ema, ta.sma, and math.max.
3 — Plotting: The calculated values are plotted on the chart using the plot function, with different colors and styles for visual distinction.
4 — Signal Detection: The script detects and labels potential buy and sell signals based on trend contractions, expansions, and divergences between the price and oscillator.
5 — Conditional Statements: Multiple if statements are used to determine when to place labels for buy and sell signals.
█ CUSTOM FUNCTIONS
• calculate_l1_enveloped_oscillator(high, low, close, open): Calculates various trend and oscillator values based on the input price data.
— Parameters: high, low, close, open (price data).
— Return Values: A tuple containing top_level, bottom_level, middle_level, adjusted_trend, trend, oscillator, directional_strength, normalized_oscillator, and adjusted_candle_trend.
█ KEY POINTS AND TECHNIQUES
• Advanced Pine Script Features: Utilizes built-in functions for technical analysis (ta.highest, ta.lowest, ta.ema, ta.sma, ta.crossover, ta.crossunder).
• Optimization Techniques: Uses fixed periods and levels for calculations, which can be adjusted for different market conditions.
• Best Practices: Clearly separates calculations and plotting, making the script modular and easier to maintain.
• Unique Approaches: Combines multiple indicators (trend, oscillator, directional strength) to detect complex market conditions like divergences and contractions/expansions.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
• Modifications: Users can modify the levels (top_level, bottom_level, middle_level) and periods used in calculations to better suit specific asset classes or market conditions.
• Extensions: The script can be extended to include additional indicators or signals, such as RSI or MACD, to enhance its predictive power.
• Application Scenarios: Similar techniques can be applied in other trading strategies involving trend analysis and divergence detection, such as momentum trading or mean reversion strategies.
• Related Concepts: Users can explore other Pine Script concepts like alerts, backtesting, and optimization to fine-tune strategies based on historical data.
LRI Momentum Cycles [AlgoAlpha]Discover the LRI Momentum Cycles indicator by AlgoAlpha, a cutting-edge tool designed to identify market momentum shifts using trend normalization and linear regression analysis. This advanced indicator helps traders detect bullish and bearish cycles with enhanced accuracy, making it ideal for swing traders and intraday enthusiasts alike.
Key Features :
🎨 Customizable Appearance : Set personalized colors for bullish and bearish trends to match your charting style.
🔧 Dynamic Trend Analysis : Tracks market momentum using a unique trend normalization algorithm.
📊 Linear Regression Insight : Calculates real-time trend direction using linear regression for better precision.
🔔 Alert Notifications : Receive alerts when the market switches from bearish to bullish or vice versa.
How to Use :
🛠 Add the Indicator : Favorite and apply the indicator to your TradingView chart. Adjust the lookback period, linear regression source, and regression length to fit your strategy.
📊 Market Analysis : Watch for color changes on the trend line. Green signals bullish momentum, while red indicates bearish cycles. Use these shifts to time entries and exits.
🔔 Set Alerts : Enable notifications for momentum shifts, ensuring you never miss critical market moves.
How It Works :
The LRI Momentum Cycles indicator calculates trend direction by applying linear regression on a user-defined price source over a specified period. It compares historical trend values, detecting bullish or bearish momentum through a dynamic scoring system. This score is normalized to ensure consistent readings, regardless of market conditions. The indicator visually represents trends using gradient-colored plots and fills to highlight changes in momentum. Alerts trigger when the momentum state changes, providing actionable trading signals.
Trend Strength/DirectionThis is a really good, though complex indicator, so I will add two different explanations so to appease both the laymen and those who take the time to read thoroughly.
Simple Explanation
This indicator utilizes 6HMA's to display their angles
The greater the angle ---> the stronger the trend
If more angles are positive, then trend is very strong
If more are negative, then very negative
Comprehensive Explanation
6 angles, each of a different time frame are used to represent direction and trend strength. Angles are used because they intrinsically represent momentum and speed. An angle of 45 represents a perfect balance between something that can cover the furthest distance without compensating for speed. 1 of the 6 angles is intended(though customizable) to represent the 5 hma's angle. This is because the 5hma is very good at representing very near term price action.
Angle Levels
Its important to understand what the angle levels mean for the underlying hma's. The 0 level represents a hma that is horizontal. This is important because this is the point at which it decides to be bullish or bearish. +/- 45, as noted before, represent bullishness/bearishness that represent strong trends without compensating for speed. A continuous increase/decrease and or a cross of these levels generally indicate significant change in sentiment, of which trades may be taken.
Strategy
You should weigh your decision by those angles that represent the longer time frame. If more angles represent a certain sentiment, it is obviously unwise to fight against that long term sentiment. The purpose of this indicator was to provide a proper representation of trend direction and strength, but also solve the problem of when you should 'dip' buy.
For an example: if all angles are increase or decreasing, then you may use the 5hma's angle to find the proper points at which you will enter a position.
***NOTE: I dont think the +/- 45 bands should indicate 'overbought' or 'oversold' zones that some might assume. Instead you should wait for a crossing of this zone.
Adaptive Price Zone Oscillator [QuantAlgo]Adaptive Price Zone Oscillator 🎯📊
The Adaptive Price Zone (APZ) Oscillator by QuantAlgo is an advanced technical indicator designed to identify market trends and reversals through adaptive price zones based on volatility-adjusted bands. This sophisticated system combines typical price analysis with dynamic volatility measurements to help traders and investors identify trend direction, potential reversals, and market volatility conditions. By evaluating both price action and volatility together, this tool enables users to make informed trading decisions while adapting to changing market conditions.
💫 Dynamic Zone Architecture
The APZ Oscillator provides a unique framework for assessing market trends through a blend of smoothed typical prices and volatility-based calculations. Unlike traditional oscillators that use fixed parameters, this system incorporates dynamic volatility measurements to adjust sensitivity automatically, helping users determine whether price movements are significant relative to current market conditions. By combining smoothed price trends with adaptive volatility zones, it evaluates both directional movement and market volatility, while the smoothing parameters ensure stable yet responsive signals. This adaptive approach allows users to identify trending conditions while remaining aware of volatility expansions and contractions, enhancing both trend-following and mean-reversion strategies.
📊 Indicator Components & Mechanics
The APZ Oscillator is composed of several technical components that create a dynamic trending system:
Typical Price: Utilizes HLC3 (High, Low, Close average) as a balanced price representation
Volatility Measurement: Computes exponential moving average of price changes to determine dynamic zones
Smoothed Calculations: Applies additional smoothing to reduce noise while maintaining responsiveness
Trend Detection: Evaluates price position relative to adaptive zones to determine market direction
📈 Key Indicators and Features
The APZ Oscillator utilizes typical price with customizable length and threshold parameters to adapt to different trading styles. Volatility calculations are applied to determine zone boundaries, providing context-aware levels for trend identification. The trend detection component evaluates price action relative to the adaptive zones, helping validate trends and identify potential reversals.
The indicator also incorporates multi-layered visualization with:
Color-coded trend representation (bullish/bearish)
Clear trend state indicators (+1/-1)
Mean reversion signals with distinct markers
Gradient fills for better visual clarity
Programmable alerts for trend changes
⚡️ Practical Applications and Examples
✅ Add the Indicator : Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
👀 Monitor Trend State : Watch the oscillator's position relative to the zero line to identify trend direction and potential reversals. The step-line visualization with diamonds makes trend changes clearly visible.
🎯 Track Signals : Pay attention to the mean reversion markers that appear above and below the price chart:
→ Upward triangles (⤻) signal potential bullish reversals
→ X crosses (↷) indicate potential bearish reversals
🔔 Set Alerts : Configure alerts for trend changes in both bullish and bearish directions, ensuring you can act on significant technical developments promptly.
🌟 Summary and Tips
The Adaptive Price Zone Oscillator by QuantAlgo is a versatile technical tool, designed to support both trend following and mean reversion strategies across different market environments. By combining smoothed typical price analysis with dynamic volatility-based zones, it helps traders and investors identify significant trend changes while measuring market volatility, providing reliable technical signals. The tool's adaptability through customizable length, threshold, and smoothing parameters makes it suitable for various trading timeframes and styles, allowing users to capture opportunities while maintaining awareness of changing market conditions.
Key parameters to optimize for your trading style:
APZ Length: Adjust for more or less sensitivity to price changes
Threshold: Fine-tune the volatility multiplier for wider or narrower zones
Smoothing: Balance noise reduction with signal responsiveness
Coinbase Premium Index (Any Symbol)The Coinbase Premium Index provides a valuable insight into market dynamics by calculating the price premium between Coinbase (USD pairs) and Binance (USDT pairs). A positive premium typically indicates heavy buying pressure on Coinbase, often coinciding with upward price trends on lower timeframes. Conversely, a negative premium suggests selling pressure or weaker demand on Coinbase compared to Binance.
** Key Features: **
**Dynamic Symbol Detection**: Automatically detects the current chart symbol and adapts the premium calculation accordingly.
**Customizable Moving Averages**:
Select between SMA (Simple Moving Average) or EMA (Exponential Moving Average).
Adjust the moving average period to suit your trading strategy (default: SMA with 50 periods).
**Error Handling for Missing Data**:
Displays "Symbol not on Coinbase" when the cryptocurrency is unavailable on Coinbase.
Plots zero-value columns in light grey for unsupported symbols.
**Visual Representation**:
Premium values are displayed as columns: green for positive premiums, red for negative premiums.
A moving average line in light grey helps highlight trends.
Zero Line: A horizontal dashed line is included as a reference point.
** Why Use This Script?**
The Coinbase Premium Index helps traders identify moments of increased buying pressure among U.S. investors, often indicative of bullish momentum on lower timeframes. Use this tool to monitor premium dynamics and gain a clearer understanding of market sentiment across major exchanges.
** How to Use: **
Add this script to your TradingView chart.
Adjust the moving average type and period through the input menu.
Use the premium columns and moving averages to identify potential price trends and validate exchange-specific trading opportunities.
GMO (Gyroscopic Momentum Oscillator) GMO
Overview
This indicator fuses multiple advanced concepts to give traders a comprehensive view of market momentum, volatility, and potential turning points. It leverages the Gyroscopic Momentum Oscillator (GMO) foundation and layers on IQR-based bands, dynamic ATR-adjusted OB/OS levels, torque filtering, and divergence detection. The outcome is a versatile tool that can assist in identifying both short-term squeezes and long-term reversal zones while detecting subtle shifts in momentum acceleration.
Key Components:
Gyroscopic Momentum Oscillator (GMO) – A physics-inspired metric capturing trend stability and momentum by treating price dynamics as “angle,” “angular velocity,” and “inertia.”
IQR Bands – Highlight statistically typical oscillation ranges, providing insight into short-term squeezes and potential near-term trend shifts.
ATR-Adjusted OB/OS Levels – Dynamic thresholds for overbought/oversold conditions, adapting to volatility, aiding in identifying long-term potential reversal zones.
Torque Filtering & Scaling – Smooths and thresholds torque (the rate of change of momentum) and visually scales it for clarity, indicating sudden force changes that may precede volatility adjustments.
Divergence Detection – Highlights potential reversal cues by comparing oscillator swings against price swings, revealing regular and hidden bullish/bearish divergences.
Conceptual Insights
IQR Bands (Short-Term Squeeze & Trend Direction):
Short-Term Momentum and Squeeze: The IQR (Interquartile Range) bands show where the oscillator tends to “live” statistically. When the GMO line hovers within compressed IQR bands, it can signal a momentum squeeze phase. Exiting these tight ranges often correlates with short-term breakout opportunities.
Trend Reversals: If the oscillator pushes beyond these IQR ranges, it may indicate an emerging short-term trend change. Traders can watch for GMO escaping the IQR “comfort zone” to anticipate a new directional move.
Dynamic OB/OS Levels (Long-Term Reversal Zones):
ATR-Based Adaptive Thresholds: Instead of static overbought/oversold lines, this tool uses ATR to adjust OB/OS boundaries. In calm markets, these lines remain closer to ±90. As volatility rises, they approach ±100, reflecting greater permissible swings.
Long-Term Trend Reversal Potential: If GMO hits these dynamically adjusted OB/OS extremes, it suggests conditions ripe for possible long-term trend reversals. Traders seeking major inflection points may find these adaptive levels more reliable than fixed thresholds.
Torque (Sudden Force & Directional Shifts):
Momentum Acceleration Insight: Torque represents the second derivative of momentum, highlighting how quickly momentum is changing. High positive torque suggests a rapidly strengthening bullish force, while high negative torque warns of sudden bearish pressure.
Early Warning & Stability/Volatility Adjustments: By monitoring torque spikes, traders can anticipate momentum shifts before price fully confirms them. This can signal imminent changes in stability or increased volatility phases.
Indicator Parameters and Usage
GMO-Related Inputs:
lenPivot (Default 100): Length for calculating the pivot line (slow market axis).
lenSmoothAngle (Default 200): Smooths the angle measure, reducing noise.
lenATR (Default 14): ATR period for scaling factor, linking price changes to volatility.
useVolatility (Default true): If true, volatility (ATR) influences inertia, adjusting momentum calculations.
useVolume (Default false): If true, volume affects inertia, adding a liquidity dimension to momentum.
lenVolSmoothing (Default 50): Smooths volume calculations if useVolume is enabled.
lenMomentumSmooth (Default 20): EMA smoothing of GMO for a cleaner oscillator line.
normalizeRange (Default true): Normalizes GMO to a fixed range for consistent interpretation.
lenNorm (Default 100): Length for normalization window, ensuring GMO’s scale adapts to recent extremes.
IQR Bands Settings:
iqrLength (Default 14): Period to compute the oscillator’s statistical IQR.
iqrMult (Default 1.5): Multiplier to define the upper and lower IQR-based bands.
ATR-Adjusted OB/OS Settings:
baseOBLevel (Fixed at 90) and baseOSLevel (Fixed at 90): Base lines for OB/OS.
atrPeriodForOBOS (Default 50): ATR length for adjusting OB/OS thresholds dynamically.
atrScaling (Default 0.2): Controls how strongly volatility affects OB/OS lines.
Torque Filtering & Visualization:
torqueSmoothLength (Default 10): EMA length to smooth raw torque values.
atrPeriodForTorque (Default 14): ATR period to determine torque threshold.
atrTorqueScaling (Default 0.5): Scales ATR for determining torque’s “significant” threshold.
torqueScaleFactor (Default 10.0): Multiplies the torque values for better visual prominence on the chart.
Divergence Inputs:
showDivergences (Default true): Toggles divergence signals.
lbR, lbL (Defaults 5): Pivot lookback periods to identify swing highs and lows.
rangeUpper, rangeLower: Bar constraints to validate potential divergences.
plotBull, plotHiddenBull, plotBear, plotHiddenBear: Toggles for each divergence type.
Visual Elements on the Chart
GMO Line (Blue) & Zero Line (Gray):
GMO line oscillates around zero. Positive territory hints bullish momentum, negative suggests bearish.
IQR Bands (Teal Lines & Yellow Fill):
Upper/lower bands form a statistical “normal range” for GMO. The median line (purple) provides a central reference. Contraction near these bands indicates a short-term squeeze, expansions beyond them can signal emerging short-term trend changes.
Dynamic OB/OS (Red & Green Lines):
Red line near +90 to +100: Overbought zone (dynamic).
Green line near -90 to -100: Oversold zone (dynamic).
Movement into these zones may mark significant, longer-term reversal potential.
Torque Histogram (Colored Bars):
Plotted below GMO. Green bars = torque above positive threshold (bullish acceleration).
Red bars = torque below negative threshold (bearish acceleration).
Gray bars = neutral range.
This provides early warnings of momentum shifts before price responds fully.
Precession (Orange Line):
Scaled for visibility, adds context to long-term angular shifts in the oscillator.
Divergence Signals (Shapes):
Circles and offset lines highlight regular or hidden bullish/bearish divergences, offering potential reversal signals.
Practical Interpretation & Strategy
Short-Term Opportunities (IQR Focus):
If GMO compresses within IQR bands, the market might be “winding up.” A break above/below these bands can signal a short-term trade opportunity.
Long-Term Reversal Zones (Dynamic OB/OS):
When GMO approaches these dynamically adjusted extremes, conditions may be ripe for a major trend shift. This is particularly useful for swing or position traders looking for significant turnarounds.
Monitoring Torque for Acceleration Cues:
Torque spikes can precede price action, serving as an early catalyst signal. If torque turns strongly positive, anticipate bullish acceleration; strongly negative torque may warn of upcoming bearish pressure.
Confirm with Divergences:
Divergences between price and GMO reinforce potential reversal or continuation signals identified by IQR, OB/OS, or torque. Use them to increase confidence in setups.
Tips and Best Practices
Combine with Price & Volume Action:
While the indicator is powerful, always confirm signals with actual price structure, volume patterns, or other trend-following tools.
Adjust Lengths & Periods as Needed:
Shorter lengths = more responsiveness but more noise. Longer lengths = smoother signals but greater lag. Tune parameters to match your trading style and timeframe.
Use ATR and Volume Settings Wisely:
If markets are highly volatile, consider useVolatility to refine momentum readings. If liquidity is key, enable useVolume.
Scaling Torque:
If torque bars are hard to read, increase torqueScaleFactor further. The scaling doesn’t affect logic—only visibility.
Conclusion
The “GMO + IQR Bands + ATR-Adjusted OB/OS + Torque Filtering (Scaled)” indicator presents a holistic framework for understanding market momentum across multiple timescales and conditions. By interpreting short-term squeezes via IQR bands, long-term reversal zones via adaptive OB/OS, and subtle acceleration changes through torque, traders can gain advanced insights into when to anticipate breakouts, manage risk around potential reversals, and fine-tune timing for entries and exits.
This integrated approach helps navigate complex market dynamics, making it a valuable addition to any technical analysis toolkit.
Multi-Indicator Signal with TableThis indicator is a versatile multi-indicator tool designed for traders who want to combine signals from various popular indicators into a single framework. It not only visualizes buy and sell signals but also provides a clear, easy-to-read table that summarizes the included indicators and their respective signal colors.
Key Features:
RSI (Relative Strength Index):
Buy Signal: RSI falls below the oversold level (default: 30).
Sell Signal: RSI rises above the overbought level (default: 70).
Signal Color: Green.
MACD (Moving Average Convergence Divergence):
Buy Signal: MACD line crosses above the signal line.
Sell Signal: MACD line crosses below the signal line.
Signal Color: Blue.
MA Crossover (Moving Average Crossover):
Buy Signal: Short EMA (default: 7) crosses above Long SMA (default: 14).
Sell Signal: Short EMA crosses below Long SMA.
Signal Color: Purple.
Stochastic Oscillator:
Buy Signal: Stochastic %K falls below 20 and crosses above %D.
Sell Signal: Stochastic %K rises above 80 and crosses below %D.
Signal Color: Yellow.
TSI (True Strength Index):
Buy Signal: TSI crosses above the zero line.
Sell Signal: TSI crosses below the zero line.
Signal Color: Red.
Dynamic Signal Table:
A clean, compact table displayed at the top-right corner of the chart, summarizing the indicators and their respective signal colors for quick reference.
Customization:
All indicator parameters are fully adjustable, allowing users to fine-tune settings to match their trading strategy.
Signal colors and table design ensure a visually intuitive experience.
Usage:
This tool is ideal for traders who prefer a multi-indicator approach for generating buy/sell signals.
The combination of different indicators helps to filter out noise and increase the accuracy of trade setups.
Notes:
Signals appear only after the confirmation of the current bar to avoid false triggers.
This indicator is designed for educational purposes and should be used in conjunction with proper risk management strategies.
[blackcat] L1 Main life line oscillator█ OVERVIEW
The Pine Script provided is an indicator named " L1 Main life line oscillator." Its primary function is to calculate and plot two oscillators: the Main Force and the Life Line. These oscillators are derived from smoothed price data, and the script also detects and labels crossovers and crossunders between the two lines, which can be used to generate buy and sell signals.
█ FEATURES
Key Features:
• Input Parameters: Users can define the period (n) and the weight for the oscillators.
• Custom Function: A function calculate_life_line_oscillator is defined to compute the Main Force and Life Line oscillators.
• Advanced Calculations: The script uses an adaptive moving average (ALMA) and exponential moving average (EMA) to smooth the price data and calculate the oscillators.
• Crossover and Crossunder Detection: Built-in functions ta.crossover and ta.crossunder are used to identify signal points.
• Label Drawing: Custom labels are drawn on the chart to indicate buy ("B") and sell ("S") signals.
█ HOW TO USE
1 — Configure Input Parameters: Adjust the period (n) and weight to suit your trading strategy.
2 — Interpret the Oscillators: Observe the Main Force and Life Line on the chart.
3 — Act on Signals: Look for crossovers and crossunders to generate buy and sell signals. Buy signals are indicated by the label "B" and sell signals by "S".
█ LIMITATIONS
• Lag in Signals: While the use of ALMA and EMA reduces lag, some delay may still occur, especially in volatile markets.
• False Signals: Crossovers and crossunders can sometimes produce false signals, so it is advisable to use this indicator in conjunction with other tools for confirmation.
█ NOTES
Advanced Pine Script Features:
• Adaptive Moving Average (ALMA): Provides a more responsive and adaptive oscillator.
• Exponential Moving Average (EMA): Smooths the price range and Main Force values.
• Crossover and Crossunder Detection: Utilizes built-in functions for signal identification.
• Label Drawing: Enhances visual signaling with custom labels.
Optimization Techniques:
• The use of ALMA and EMA helps in reducing lag and improving the responsiveness of the oscillators.
• The custom function encapsulates complex calculations, making the main script cleaner and more maintainable.
Unique Approaches:
• The combination of ALMA and EMA to create the Main Force oscillator provides a unique smoothing method.
• The Life Line is calculated using a weighted average of the previous and current Main Force values, adding an additional layer of smoothing and responsiveness.
█ THANKS
Thank you for using the " L1 Main life line oscillator." If you have any questions or suggestions, please feel free to reach out in the comments or on the TradingView or my Discord channel.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
Potential Modifications:
• Additional Indicators: Extend the script to include other technical indicators (e.g., RSI, MACD) for a more comprehensive trading signal system.
• Customizable Colors and Styles: Allow users to customize the colors and styles of the plotted lines and labels.
• Alerts: Implement alerts for crossovers and crossunders to notify users in real-time.
Application Scenarios:
• Intraday Trading: The responsiveness of the oscillators makes this script suitable for intraday trading, where quick buy and sell signals are crucial.
• Long-Term Analysis: By adjusting the period n, the script can be used for long-term trend analysis and strategic trades.
• Backtesting: The script can be modified into a strategy to backtest the performance of the oscillator-based signals against historical data.
Related Pine Script Concepts:
• Strategy Development: Understanding how to convert indicators into strategies for backtesting and live trading.
• Advanced Plotting: Exploring more advanced plotting techniques, such as using different styles and customizing plot appearances.
• Signal Validation: Techniques for validating and filtering signals to reduce false positives and improve trade accuracy.
Multi-Period CorrelationDescription:
The “Correlation Coefficient - Multi Periods” indicator allows you to analyze the correlation between the price of the chart’s asset and another specified asset across multiple time periods simultaneously. It provides a visual representation of how closely the two assets move in relation to each other over user-defined lengths, helping traders and analysts identify relationships, diversification opportunities, and potential hedging strategies.
Features:
• Multi-Period Correlation: Input multiple periods (e.g., 20, 50, 100) to see correlations across different timeframes on the same chart.
• Customizable Asset: Choose any symbol to compare against the current asset.
• Dynamic Visualization: Each correlation is plotted with a unique color for easy distinction.
• Validation: Warns the user if invalid inputs are provided for the lengths, ensuring accuracy.
• Reference Lines: Horizontal lines at 1, 0, and -1 for quick interpretation:
• 1: Perfect positive correlation.
• 0: No correlation.
• -1: Perfect negative correlation.
Use Cases:
• Portfolio Analysis: Evaluate how an asset correlates with another to assess diversification.
• Market Analysis: Identify trends and relationships between stocks, indices, or other financial instruments.
• Risk Management: Understand correlation to optimize hedging strategies and reduce portfolio risk.
This indicator is ideal for traders and investors seeking to make informed decisions by understanding inter-market relationships and their dynamics over time.
RSI to Price RatioThe RSI to Price Ratio is a technical indicator designed to provide traders with a unique perspective by analyzing the relationship between the Relative Strength Index (RSI) and the underlying asset's price. Unlike traditional RSI, which is viewed on a scale from 0 to 100, this indicator normalizes the RSI by dividing it by the price, resulting in a dynamic ratio that adjusts to price movements. The histogram format makes it easy to visualize fluctuations, with distinct color coding for overbought (red), oversold (green), and neutral (blue) conditions.
This indicator excels in helping traders identify potential reversal zones and trend continuation signals. Overbought and oversold levels are dynamically adjusted using the price source, making the indicator more adaptive to market conditions. Additionally, the ability to plot these OB/OS thresholds as lines on the histogram ensures traders can quickly assess whether the market is overstretched in either direction. By combining RSI’s momentum analysis with price normalization, this tool is particularly suited for traders who value precision and nuanced insights into market behavior. It can be used as a standalone indicator or in conjunction with other tools to refine entry and exit strategies.
Buy Low Sell High Composite Upgraded V6 [kristian6ncqq]NOTICE: This script is an upgraded and enhanced version of the original "Buy Low Sell High Composite" indicator by (published in 2017).
The original script provided a composite indicator combining multiple technical analysis metrics such as RSI, MACD, and MFI.
Why I Republished This Script
I found the original indicator to be exceptionally useful for identifying optimal accumulation zones for stocks or assets when prices are low (red area) and potential profit-taking zones when prices are high (green area).
To ensure it remains accessible and functional for modern trading strategies, I have updated and enhanced the original version with additional features and flexibility.
Intended Use
This indicator is designed for traders and investors looking to:
Accumulate stocks or assets when the price is in the low (red) zone.
Take profits or reduce positions when the price is in the high (green) zone.
The composite score provides a clear visualization of multiple technical indicators combined into a single actionable signal.
Enhancements in This Version
Updated to Pine Script v6 (from version 3).
Added input parameters for key settings (e.g., RSI length, MACD parameters, smoothing).
Introduced Chande Momentum Oscillator (CMO) and directional ADX for improved trend detection.
Implemented slope-based trend coloring for outer edges to highlight significant changes in trend direction.
Enhanced visualizations with customizable thresholds and smoothing for improved usability.
Credits
Original script: "Buy Low Sell High Composite" by , 2017.
URL to the original script: Buy Low Sell High Composite.
This script is designed to build upon the strengths of the original while adding flexibility and new features to meet the needs of modern traders.
Force Volume GradientThis Pine Script is a technical indicator designed for trading platforms, specifically TradingView. It plots the Force Volume Gradient (FVG) and generates buy/sell signals based on the crossover of the FVG line and a signal line.
Key Components:
Force Index: Calculates the exponential moving average (EMA) of the product of the close price and volume.
Force Volume Gradient (FVG): Calculates the EMA of the Force Index.
Signal Line: A simple moving average (SMA) of the FVG.
Buy/Sell Signals: Generated when the FVG line crosses above/below the signal line.
How it Works:
The script calculates the Force Index, which measures the amount of energy or "force" behind price movements.
The FVG is then calculated by applying an EMA to the Force Index, smoothing out the values.
The signal line is a SMA of the FVG, providing a benchmark for buy/sell signals.
When the FVG line crosses above the signal line, a buy signal is generated. Conversely, when the FVG line crosses below the signal line, a sell signal is generated.
Trading Strategy:
This script can be used as a momentum indicator to identify potential buying or selling opportunities. Traders can use the buy/sell signals as entry/exit points, or combine the FVG with other indicators to create a more comprehensive trading strategy.
Customization:
Users can adjust the input parameters, such as the length of the Force Index and signal line, to suit their individual trading preferences.
