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M-oscillator

Trend Volatility Index (TVI)Trend Volatility Index (TVI) A robust nonparametric oscillator for structural trend volatility detection ⸻ What is this? TVI is a volatility oscillator designed to measure the strength and emergence of price trends using nonparametric statistics. It calculates a U-statistic based on the Gini mean difference across multiple simple moving averages. This allows for objective, robust, and unbiased quantification of trend volatility in tick-scale values. ⸻ What can it do? • Quantify trend strength as a continuous value aligned with tick price scale • Detect trend breakouts and volatility expansions • Identify range-bound market states • Detect early signs of new trends with minimal lag ⸻ What can’t it do? • Predict future price levels • Predict trend direction before confirmation ⸻ How it works TVI computes a nonparametric dispersion metric (Gini mean difference) from multiple SMAs of different lengths. As this metric shares the same dimension as price ticks, it can be directly interpreted on the chart as a volatility gauge. The output is plotted using candlestick-style charts to enhance visibility of change rate and trend behavior. ⸻ Disclaimer TVI does not predict price. It is a structural indicator designed to support discretionary judgment. Trading carries inherent risk, and this tool does not guarantee profitability. Use at your own discretion. ⸻ Innovation This indicator introduces a novel approach to trend volatility by applying U-statistics over time series to produce a nonparametric, unbiased, and robust estimate of structural volatility. 日本語要約 Trend Volatility Index (TVI) は、ノンパラメトリックなU統計量（Gini平均差）を使ってトレンドの強度を客観的に測定することを目的に開発されたボラティリティ・オシレーターです。 ティック単位で連続的に変化し、トレンドのブレイク・レンジ・初動の予兆を定量的に検出します。 未来の価格や方向は予測せず、現在の構造的ばらつきだけをロバストに評価します。
Penunjuk Pine Script®
oleh chikaharu
7
Stochastic RainbowThe Stochastic Rainbow indicator is a multi-layered momentum oscillator designed to provide a comprehensive view of market dynamics by combining multiple stochastic oscillators of varying periods. This approach allows traders to analyze both short-term and long-term momentum within a single visual framework, enhancing decision-making for entries and exits. 🔧 Indicator Settings and Customization Select from various moving average methods (e.g., SMA, EMA, DEMA, TEMA, WMA, VWMA, RMA, T3) to smooth the stochastic lines. Different methods can affect the responsiveness of the indicator. The indicator computes five sets of stochastic oscillators with Fibonacci values. Each %K line is smoothed using the selected moving average type, and a corresponding %D line is plotted for each %K. 🎨 Visual Interpretation The Stochastic Rainbow indicator plots multiple %K and %D lines, each with distinct colors for easy differentiation. Additionally, horizontal dotted lines are drawn at levels 80 (Upper Band), 50 (Midline), and 20 (Lower Band) to indicate overbought, neutral, and oversold conditions, respectively. 📈 Trading Strategies Using Stochastic Rainbow The multi-layered structure of the Stochastic Rainbow allows for nuanced analysis. Trend Confirmation: When all %K lines are above 50 and aligned in ascending order (short-term above long-term), it suggests a strong uptrend. Conversely, when all %K lines are below 50 and aligned in descending order, it indicates a strong downtrend. Overbought/Oversold Conditions: If the shorter-term %K lines (e.g., %K 5,3 and %K 8,3) enter the overbought zone (>80) while longer-term lines remain below, it may signal a potential reversal. Similarly, if shorter-term lines enter the oversold zone (<20) while longer-term lines remain above, it could indicate an upcoming bullish reversal. Crossovers: A bullish signal occurs when a %K line crosses above its corresponding %D line. A bearish signal occurs when a %K line crosses below its corresponding %D line. Divergence Analysis: If price makes a new high while the %K lines do not, it may indicate bearish divergence and a potential reversal. If price makes a new low while the %K lines do not, it may indicate bullish divergence and a potential reversal. ⚙️ Adjusting Settings for Optimal Use The Stochastic Rainbow's flexibility allows traders to adjust settings to match their trading style and the specific asset's behavior: Short-Term Trading: Use shorter periods (e.g., 5 for %K) and more responsive moving averages (e.g., WMA, VWMA, EMA, DEMA, TEMA, HMA) to capture quick market movements. Long-Term Trading: Opt for longer periods (e.g., 55 for %K) and smoother moving averages (e.g., SMA, RMA, T3) to filter out noise and focus on broader trends. Volatile Markets: Consider using the T3 moving average for its smoothing capabilities, helping to reduce false signals in choppy markets. By experimenting with different settings, traders can fine-tune the indicator to better suit their analysis and improve decision-making.
Penunjuk Pine Script®
oleh nathanieljens
Volume Flow OscillatorVolume Flow Oscillator Overview The Volume Flow Oscillator is an advanced technical analysis tool that measures buying and selling pressure by combining price direction with volume. Unlike traditional volume indicators, this oscillator reveals the force behind price movements, helping traders identify strong trends, potential reversals, and divergences between price and volume. Reading the Indicator The oscillator displays seven colored bands that fluctuate around a zero line: Three bands above zero (yellow) indicate increasing levels of buying pressure Three bands below zero (red) indicate increasing levels of selling pressure The central band represents the baseline volume flow Color intensity changes based on whether values are positive or negative Trading Signals The Volume Flow Oscillator provides several valuable trading signals: Zero-line crossovers: When multiple bands cross from negative to positive, potential bullish shift; opposite for bearish Divergences: When price makes new highs/lows but oscillator bands fail to confirm, signals potential reversal Volume climax: Extreme readings where outer bands stretch far from zero often precede reversals Trend confirmation: Strong expansion of bands in direction of price movement confirms genuine momentum Support/resistance: During trends, bands may remain largely on one side of zero, showing continued directional pressure Customization Adjust these key parameters to optimize the oscillator for your trading style: Lookback Length: Controls overall sensitivity (shorter = more responsive, longer = smoother) Multipliers: Adjust sensitivity spread between bands for different market conditions ALMA Settings: Fine-tune how the indicator weights recent versus historical data VWMA Toggle: Enable for additional smoothing in volatile markets Best Practices For optimal results, use this oscillator in conjunction with price action and other confirmation indicators. The multi-band approach helps distinguish between minor fluctuations and significant volume events that might signal important market turns.
Penunjuk Pine Script®
oleh TheKaoticS
Macd, Wt Cross & HVPMacd Wt Cross & HVP – Advanced Multi-Signal Indicator This script is a custom-designed multi-signal indicator that brings together three proven concepts to provide a complete view of market momentum, reversals, and volatility build-ups. It is built for traders who want to anticipate key market moves, not just react to them. Why This Combination ? While each tool has its strengths, their combined use creates powerful signal confluence. Instead of juggling multiple indicators separately, this script synchronizes three key perspectives into a single, intuitive display—helping you trade with greater clarity and confidence. 1. MACD Histogram – Momentum and Trend Clarity At the core of the indicator is the MACD histogram, calculated as the difference between two exponential moving averages (EMAs). Color-coded bars represent momentum direction and intensity: Green / blue bars: bullish momentum Red / pink bars: bearish momentum Color intensity shows acceleration or weakening of trend. This visual makes it easy to detect trend shifts and momentum divergence at a glance. 2. WT Cross Signals – Early Reversal Detection Overlaid on the histogram are green and red dots, based on the logic of the WaveTrend oscillator cross: Green dots = potential bullish cross (buy signal) Red dots = potential bearish cross (sell signal) These signals are helpful for identifying reversal points during both trending and ranging phases. 3. Historical Volatility Percentile (HVP) – Volatility Compression Zones Behind the histogram, purple vertical zones highlight periods of low historical volatility, based on the HVP: When volatility compresses below a specific threshold, these zones appear. Such periods are often followed by explosive price moves, making them prime areas for pre-breakout positioning. By integrating HVP, the script doesn’t just tell you where the trend is—it tells you when the trend is likely to erupt. How to Use This Script Use the MACD histogram to confirm the dominant trend and its strength. Watch for WT Cross dots as potential entry/exit signals in alignment or divergence with the MACD. Monitor HVP purple zones as warnings of incoming volatility expansions—ideal moments to prepare for breakout trades. Best results occur when all three elements align, offering a high-probability trade setup. What Makes This Script Original? Unlike many mashups, this script was not created by simply merging indicators. Each component was carefully integrated to serve a specific, complementary purpose: MACD detects directional bias WT Cross adds precision timing HVP anticipates volatility-based breakout timing This results in a strategic tool for traders, useful on multiple timeframes and adaptable to different trading styles (trend-following, breakout, swing).
Penunjuk Pine Script®
oleh Nico_Crypto_
Stochastic XThe "Stochastic X" script is a customizable momentum oscillator designed to help traders identify potential overbought and oversold conditions, as well as trend reversals, by analyzing the relationship between a security's closing price and its price range over a specified period. This indicator is particularly useful for traders looking to fine-tune their entry and exit points based on momentum shifts. 🔧 Indicator Settings and Customization The script offers several user-configurable settings to tailor the indicator to specific trading strategies: In addition to the source type, %K Period, %D Period, and Signal line periods you can now change moving average calculation for the stochastic and signal lines. This script allows selection among various moving average methods (e.g., SMA, EMA, WMA, T3) for smoothing the %K and signal lines. Different methods can affect the responsiveness of the indicator. 🎨 Interpreting Background Colors The script enhances visual analysis by changing the background color of the indicator panel based on the %K line's value: Green Background: Indicates that the %K line is above 50, suggesting bullish momentum. Red Background: Signifies that the %K line is below 50, pointing to bearish momentum. Light Green Overlay: Appears when the %K line exceeds 80, highlighting overbought conditions. Light Red Overlay: Shows up when the %K line falls below 20, indicating oversold conditions. These visual cues assist traders in quickly assessing market momentum and potential reversal. 📈 Trading Strategies Using Stochastic X Traders can utilize the Stochastic X indicator in various ways: Overbought/Oversold Conditions: A %K value above 80 may suggest that the asset is overbought, potentially signaling a price correction. A %K value below 20 could indicate that the asset is oversold, possibly leading to a price rebound. Signal Line Crossovers: When the %K line crosses above the signal line, it may be interpreted as a bullish signal. Conversely, a %K line crossing below the signal line might be seen as a bearish signal. Divergence Analysis: If the price makes a new high while the %K line does not, this bearish divergence could precede a price decline. If the price hits a new low but the %K line forms a higher low, this bullish divergence might signal an upcoming price increase. Trend Confirmation: Sustained %K values above 50 can confirm an uptrend. Persistent %K values below 50 may validate a downtrend. In this chart, observe how the background colors change in response to the %K line's value, providing immediate visual feedback on market conditions. The crossovers between the %K and signal lines offer potential entry and exit points, while the overbought and oversold overlays help identify possible reversal zones. ⚙️ Adjusting Settings for Optimal Use The Stochastic X indicator's flexibility allows traders to adjust settings to match their trading style and the specific asset's behavior: Short-Term Trading: Use shorter periods (e.g., 5 for %K) and more responsive moving averages (e.g., WMA, VWMA, EMA, DEMA, TEMA, HMA) to capture quick market movements. Long-Term Trading: Opt for longer periods (e.g., 14 for %K) and smoother moving averages (e.g., SMA, RMA, T3) to filter out noise and focus on broader trends. Volatile Markets: Consider using the T3 moving average for its smoothing capabilities, helping to reduce false signals in choppy markets. By experimenting with different settings, traders can fine-tune the indicator to better suit their analysis and improve decision-making.
Penunjuk Pine Script®
oleh nathanieljens
Bitcoin Power LawThis is the main body version of the script. The Oscillator version can be found here. Understanding the Bitcoin Power Law Model Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship. By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges. In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term. The Bitcoin Power Law has the following function: Power Law = 10^(a + b * log10(d)) Consisting of the following parameters: a: Power Law Intercept (default: -17.668). b: Power Law Slope (default: 5.926). d: Number of days since a reference point(calculated by counting bars from the reference point with an offset). Explanation of the a and b parameters: Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post. Applying vertical shifts to generate the other lines: Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept. In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest): Base Power Law Line (no shift) 1-year shifted line 2-year shifted line 3-year shifted line 4-year shifted line 5-year shifted line The six power law lines: Bitcoin Power Law Oscillator This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula: normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line) Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. Interpretation of the Bitcoin Power Law Model: The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.). By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame. On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines. In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples: Example 1: In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B (Note: Vertical yearly grid lines have been added for this purpose👍). Example 2: In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line. Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe : Example 3: In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Penunjuk Pine Script®
oleh Cryptonerds
WaveTrend [LazyBear] with Long/Short LabelsWaveTrend Oscillator with Entry Signals (LONG/SHORT) – Advanced Edition This indicator is based on the renowned WaveTrend Oscillator by LazyBear, a favorite among professional traders for spotting trend reversals with precision. 🚀 Features: Original WaveTrend formula with dual-line structure (WT1 & WT2). Customizable overbought and oversold zones for visual clarity. Automatic LONG and SHORT signals plotted directly on the chart: ✅ LONG: When WT1 crosses above WT2 below the oversold zone. ❌ SHORT: When WT1 crosses below WT2 above the overbought zone. Momentum histogram shows strength of market moves. Fully optimized for Pine Script v5 and lightweight across all timeframes. 🔍 How to use: Combine with support/resistance levels or candlestick reversal patterns. Works best on 15min, 1H, or 4H charts. Suitable for all markets: crypto, stocks, forex, indices. 📊 Ideal for: Traders seeking clean, reliable entry signals. Reversal strategies with technical confluence. Visual confirmation of WaveTrend crossovers without manual interpretation. 💡 Pro Tip: Combine with EMA or RSI filters to further enhance accuracy.
Penunjuk Pine Script®
oleh thomcam
Volume Spike Filter### Volume Spike Detector with Alerts **Overview:** This indicator helps traders quickly identify unusual spikes in trading volume by comparing the current volume against a simple moving average (SMA) threshold. It's particularly useful for beginners seeking clear signals of increased market activity. **Settings:** * **SMA Length:** Defines the period for calculating the average volume (default = 20). * **Multiplier:** Determines how much the volume must exceed the SMA to be considered a spike (default = 1.5). * **Highlight Spikes:** Toggle to visually highlight spikes on the chart (default = enabled). **Signals:** * 🟩 **Highlighted Background:** Indicates a volume spike that surpasses the defined threshold. * 🏷️ **"Vol Spike" Label:** Clearly marks the exact bar of the spike for quick reference. **Usage:** Use these clear volume spike alerts to identify potential trading opportunities, confirmations, or shifts in market momentum. Combine this with other technical indicators for enhanced analysis.
Penunjuk Pine Script®
oleh Axamdulilah
TASC 2025.06 Cybernetic Oscillator█ OVERVIEW This script implements the Cybernetic Oscillator introduced by John F. Ehlers in his article "The Cybernetic Oscillator For More Flexibility, Making A Better Oscillator" from the June 2025 edition of the TASC Traders' Tips . It cascades two-pole highpass and lowpass filters, then scales the result by its root mean square (RMS) to create a flexible normalized oscillator that responds to a customizable frequency range for different trading styles. █ CONCEPTS Oscillators are indicators widely used by technical traders. These indicators swing above and below a center value, emphasizing cyclic movements within a frequency range. In his article, Ehlers explains that all oscillators share a common characteristic: their calculations involve computing differences . The reliance on differences is what causes these indicators to oscillate about a central point. The difference between two data points in a series acts as a highpass filter — it allows high frequencies (short wavelengths) to pass through while significantly attenuating low frequencies (long wavelengths). Ehlers demonstrates that a simple difference calculation attenuates lower-frequency cycles at a rate of 6 dB per octave. However, the difference also significantly amplifies cycles near the shortest observable wavelength, making the result appear noisier than the original series. To mitigate the effects of noise in a differenced series, oscillators typically smooth the series with a lowpass filter, such as a moving average. Ehlers highlights an underlying issue with smoothing differenced data to create oscillators. He postulates that market data statistically follows a pink spectrum , where the amplitudes of cyclic components in the data are approximately directly proportional to the underlying periods. Specifically, he suggests that cyclic amplitude increases by 6 dB per octave of wavelength. Because some conventional oscillators, such as RSI, use differencing calculations that attenuate cycles by only 6 dB per octave, and market cycles increase in amplitude by 6 dB per octave, such calculations do not have a tangible net effect on larger wavelengths in the analyzed data. The influence of larger wavelengths can be especially problematic when using these oscillators for mean reversion or swing signals. For instance, an expected reversion to the mean might be erroneous because oscillator's mean might significantly deviate from its center over time. To address the issues with conventional oscillator responses, Ehlers created a new indicator dubbed the Cybernetic Oscillator. It uses a simple combination of highpass and lowpass filters to emphasize a specific range of frequencies in the market data, then normalizes the result based on RMS. The process is as follows: Apply a two-pole highpass filter to the data. This filter's critical period defines the longest wavelength in the oscillator's passband. Apply a two-pole SuperSmoother (lowpass filter) to the highpass-filtered data. This filter's critical period defines the shortest wavelength in the passband. Scale the resulting waveform by its RMS. If the filtered waveform follows a normal distribution, the scaled result represents amplitude in standard deviations. The oscillator's two-pole filters attenuate cycles outside the desired frequency range by 12 dB per octave. This rate outweighs the apparent rate of amplitude increase for successively longer market cycles (6 dB per octave). Therefore, the Cybernetic Oscillator provides a more robust isolation of cyclic content than conventional oscillators. Best of all, traders can set the periods of the highpass and lowpass filters separately, enabling fine-tuning of the frequency range for different trading styles. █ USAGE The "Highpass period" input in the "Settings/Inputs" tab specifies the longest wavelength in the oscillator's passband, and the "Lowpass period" input defines the shortest wavelength. The oscillator becomes more responsive to rapid movements with a smaller lowpass period. Conversely, it becomes more sensitive to trends with a larger highpass period. Ehlers recommends setting the smallest period to a value above 8 to avoid aliasing. The highpass period must not be smaller than the lowpass period. Otherwise, it causes a runtime error. The "RMS length" input determines the number of bars in the RMS calculation that the indicator uses to normalize the filtered result. This indicator also features two distinct display styles, which users can toggle with the "Display style" input. With the "Trend" style enabled, the indicator plots the oscillator with one of two colors based on whether its value is above or below zero. With the "Threshold" style enabled, it plots the oscillator as a gray line and highlights overbought and oversold areas based on the user-specified threshold. Below, we show two instances of the script with different settings on an equities chart. The first uses the "Threshold" style with default settings to pass cycles between 20 and 30 bars for mean reversion signals. The second uses a larger highpass period of 250 bars and the "Trend" style to visualize trends based on cycles spanning less than one year:
Penunjuk Pine Script®
oleh PineCodersTASC
12
Disparity Index with Volatility ZonesDisparity Index with Volatility Zones is a momentum oscillator that measures the percentage difference between the current price and its simple moving average (SMA). This allows traders to identify overbought/oversold conditions, assess momentum strength, and detect potential trend reversals or continuations. 🔍 Core Concept: The Disparity Index (DI) is calculated as:   DI = 100 × (Price − SMA) / SMA A positive DI indicates the price is trading above its moving average (potential bullish sentiment), while a negative DI suggests the price is below the average (potential bearish sentiment). This version of the Disparity Index introduces a dual-zone volatility framework, offering deeper insight into the market's current state. 🧠 What Makes This Version Unique? 1. High Volatility Zones When DI crosses above +1.0% or below –1.0%, it often indicates the start or continuation of a strong trend. Sustained readings beyond these thresholds typically align with trending phases, offering opportunities for momentum-based entries. A reversal back within ±1.0% after exceeding these levels can suggest a shift in momentum — similar to how RSI exits the overbought/oversold zones before reversals. These thresholds act as dynamic markers for breakout confirmation and potential trend exhaustion. 2. Low Volatility Zones DI values between –0.5% and +0.5% define the low-volatility zone, shaded for visual clarity. This area typically indicates market indecision, sideways price action, or consolidation. Trading within this range may favor range-bound or mean-reversion strategies, as trend momentum is likely limited. The logic is similar to interpreting a flat ADX, tight Bollinger Bands, or contracting Keltner Channels — all suggesting consolidation. ⚙️ Features: Customizable moving average length and input source Adjustable thresholds for overbought/oversold and low-volatility zones Optional visual fill between low-volatility bounds Clean and minimal chart footprint (non-essential plots hidden by default) 📈 How to Use: 1. Trend Confirmation: A break above +1.0% can be used as a bullish continuation signal. A break below –1.0% may confirm bearish strength. Long periods above/below these thresholds support trend-following entries. 2. Reversal Detection: If DI returns below +1.0% after exceeding it, bullish momentum may be fading. If DI rises above –1.0% after falling below, bearish pressure may be weakening. These shifts resemble overbought/oversold transitions in oscillators like RSI or Stochastic, and can be paired with divergence, volume, or price structure analysis for higher reliability. 3. Sideways Market Detection: DI values within ±0.5% indicate low volatility or a non-trending environment. Traders may avoid breakout entries during these periods or apply range-trading tactics instead. Observing transitions out of the low-volatility zone can help anticipate breakouts. 4. Combine with Other Indicators: DI signals can be enhanced using tools like MACD, Volume Oscillators, or Moving Averages. For example, a DI breakout beyond ±1.0% supported by a MACD crossover or volume spike can help validate trend initiation. This indicator is especially powerful when paired with Bollinger Bands: A simultaneous price breakout from the Bollinger Band and DI moving beyond ±1.0% can help identify early trend inflection points. This combination supports entering positions early in a developing trend, improving the efficiency of trend-following strategies and enhancing decision-making precision. It also helps filter false breakouts when DI fails to confirm the move outside the band. This indicator is designed for educational and analytical purposes and works across all timeframes and asset classes. It is particularly useful for traders seeking a clear framework to identify momentum strength, filter sideways markets, and improve entry timing within a larger trading system.
Penunjuk Pine Script®
oleh fly_high_
1
Pulse DPO with Z-Score📌 Pulse DPO with Z-Score — Indicator Description (English) The Pulse DPO (Detrended Price Oscillator) helps identify major market cycle tops and bottoms by removing long-term trends and focusing on shorter-term price cycles. This enhanced version includes: A normalized oscillator (0–100) based on recent price deviations. A smoothed signal to reduce noise. A Z-Score transformation, scaling the output to a range from –3 to +3, where: –3 represents extreme oversold conditions (former normalized value = 100), +3 represents extreme overbought conditions (former normalized value = 1). 🔍 How it works: The indicator subtracts a delayed moving average from price to isolate short-term cycles (DPO logic). It then normalizes the oscillator within a lookback window. Finally, it converts this to a Z-Score scale for easier interpretation of extremes. 🟢 Suggested Usage: Consider Long entries or Short exits when Z-Score reaches –2 to –3 (deep oversold). Consider Short entries or Long exits when Z-Score reaches +2 to +3 (deep overbought). Use in combination with other signals for higher-confidence setups.
Penunjuk Pine Script®
oleh simonweisser_business
Hurst Exponent Oscillator [PhenLabs]📊 Hurst Exponent Oscillator - Version: PineScript™ v5 📌 Description The Hurst Exponent Oscillator (HEO) by PhenLabs is a powerful tool developed for traders who want to distinguish between trending, mean-reverting, and random market behaviors with clarity and precision. By estimating the Hurst Exponent—a statistical measure of long-term memory in financial time series—this indicator helps users make sense of underlying market dynamics that are often not visible through traditional moving averages or oscillators. Traders can quickly know if the market is likely to continue its current direction (trending), revert to the mean, or behave randomly, allowing for more strategic timing of entries and exits. With customizable smoothing and clear visual cues, the HEO enhances decision-making in a wide range of trading environments. 🚀 Points of Innovation Integrates advanced Hurst Exponent calculation via Rescaled Range (R/S) analysis, providing unique market character insights. Offers real-time visual cues for trending, mean-reverting, or random price action zones. User-controllable EMA smoothing reduces noise for clearer interpretation. Dynamic coloring and fill for immediate visual categorization of market regime. Configurable visual thresholds for critical Hurst levels (e.g., 0.4, 0.5, 0.6). Fully customizable appearance settings to fit different charting preferences. 🔧 Core Components Log Returns Calculation: Computes log returns of the selected price source to feed into the Hurst calculation, ensuring robust and scale-independent analysis. Rescaled Range (R/S) Analysis: Assesses the dispersion and cumulative deviation over a rolling window, forming the core statistical basis for the Hurst exponent estimate. Smoothing Engine: Applies Exponential Moving Average (EMA) smoothing to the raw Hurst value for enhanced clarity. Dynamic Rolling Windows: Utilizes arrays to maintain efficient, real-time calculations over user-defined lengths. Adaptive Color Logic: Assigns different highlight and fill colors based on the current Hurst value zone. 🔥 Key Features Visually differentiates between trending, mean-reverting, and random market modes. User-adjustable lookback and smoothing periods for tailored sensitivity. Distinct fill and line styles for each regime to avoid ambiguity. On-chart reference lines for strong trending and mean-reverting thresholds. Works with any price series (close, open, HL2, etc.) for versatile application. 🎨 Visualization Hurst Exponent Curve: Primary plotted line (smoothed if EMA is used) reflects the ongoing estimate of the Hurst exponent. Colored Zone Filling: The area between the Hurst line and the 0.5 reference line is filled, with color and opacity dynamically indicating the current market regime. Reference Lines: Dash/dot lines mark standard Hurst thresholds (0.4, 0.5, 0.6) to contextualize the current regime. All visual elements can be customized for thickness, color intensity, and opacity for user preference. 📖 Usage Guidelines Data Settings Hurst Calculation Length Default: 100 Range: 10-300 Description: Number of bars used in Hurst calculation; higher values mean longer-term analysis, lower values for quicker reaction. Data Source Default: close Description: Select which data series to analyze (e.g., Close, Open, HL2). Smoothing Length (EMA) Default: 5 Range: 1-50 Description: Length for smoothing the Hurst value; higher settings yield smoother but less responsive results. Style Settings Trending Color (Hurst > 0.5) Default: Blue tone Description: Color used when trending regime is detected. Mean-Reverting Color (Hurst < 0.5) Default: Orange tone Description: Color used when mean-reverting regime is detected. Neutral/Random Color Default: Soft blue Description: Color when market behavior is indeterminate or shifting. Fill Opacity Default: 70-80 Range: 0-100 Description: Transparency of area fills—higher opacity for stronger visual effect. Line Width Default: 2 Range: 1-5 Description: Thickness of the main indicator curve. ✅ Best Use Cases Identifying if a market is regime-shifting from trending to mean-reverting (or vice versa). Filtering signals in automated or systematic trading strategies. Spotting periods of randomness where trading signals should be deprioritized. Enhancing mean-reversion or trend-following models with regime-awareness. ⚠️ Limitations Not predictive: Reflects current and recent market state, not future direction. Sensitive to input parameters—overfitting may occur if settings are changed too frequently. Smoothing can introduce lag in regime recognition. May not work optimally in markets with structural breaks or extreme volatility. 💡 What Makes This Unique Employs advanced statistical market analysis (Hurst exponent) rarely found in standard toolkits. Offers immediate regime visualization through smart dynamic coloring and zone fills. 🔬 How It Works Rolling Log Return Calculation: Each new price creates a log return, forming the basis for robust, non-linear analysis. This ensures all price differences are treated proportionally. Rescaled Range Analysis: A rolling window maintains cumulative deviations and computes the statistical “range” (max-min of deviations). This is compared against the standard deviation to estimate “memory”. Exponent Calculation & Smoothing: The raw Hurst value is translated from the log of the rescaled range ratio, and then optionally smoothed via EMA to dampen noise and false signals. Regime Detection Logic: The smoothed value is checked against 0.5. Values above = trending; below = mean-reverting; near 0.5 = random. These control plot/fill color and zone display. 💡 Note: Use longer calculation lengths for major market character study, and shorter ones for tactical, short-term adaptation. Smoothing balances noise vs. lag—find a best fit for your trading style. Always combine regime awareness with broader technical/fundamental context for best results.
Penunjuk Pine Script®
oleh PhenLabs
2
Market Sentiment Index US Top 40 [Pt]▮Overview Market Sentiment Index US Top 40 [Pt} shows how the largest US stocks behave together. You pick one simple measure—High Low breakouts, Above Below moving average, or RSI overbought/oversold—and see how many of your chosen top 10/20/30/40 NYSE or NASDAQ names are bullish, neutral, or bearish. This tool gives you a quick view of broad-market strength or weakness so you can time trades, confirm trends, and spot hidden shifts in market sentiment. ▮Key Features ► Three Simple Modes High Low Index: counts stocks making new highs or lows over your lookback period Above Below MA: flags stocks trading above or below their moving average RSI Sentiment: marks overbought or oversold stocks and plots a small histogram ► Universe Selection Top 10, 20, 30, or 40 symbols from NYSE or NASDAQ Option to weight by market cap or treat all symbols equally ► Timeframe Choice Use your chart’s timeframe or any intraday, daily, weekly, or monthly resolution ► Histogram Smoothing Two optional moving averages on the sentiment bars Markers show when the faster average crosses above or below the slower one ► Ticker Table Optional on-chart table showing each ticker’s state in color Grid or single-row layout with adjustable text size and color settings ▮Inputs ► Mode and Lookback Pick High Low, Above Below MA, or RSI Sentiment Set lookback length (for example 10 bars) If using Above Below MA, choose the moving average type (EMA, SMA, etc.) ► Universe Setup Market: NYSE or NASDAQ Number of symbols: 10, 20, 30, or 40 Weights: on or off Timeframe: blank to match chart or pick any other ► Moving Averages on Histogram Enable fast and slow averages Set their lengths and types Choose colors for averages and markers ► Table Options Show or hide the symbol table Select text size: tiny, small, or normal Choose layout: grid or one-row Pick colors for bullish, neutral, and bearish cells Show or hide exchange prefixes ▮How to Read It ► Sentiment Bars Green means bullish Red means bearish Near zero means neutral ► Zero Line Separates bullish from bearish readings ► High Low Line (High Low mode only) Smooth ratio of highs versus lows over your lookback ► MA Crosses Fast MA above slow MA hints rising breadth Fast MA below slow MA hints falling breadth ► Ticker Table Each cell colored green, gray, or red for bull, neutral, or bear ▮Use Cases ► Confirm Market Trends Early warning when price makes highs but breadth is weak Catch rallies when breadth turns strong while price is flat ► Spot Sector Rotation Switch between NYSE and NASDAQ to see which group leads Watch tech versus industrial breadth to track money flow ► Filter Trade Signals Enter longs only when breadth is bullish Consider shorts when breadth turns negative ► Combine with Other Indicators Use RSI Sentiment with trend tools to spot overextended moves Add volume indicators in High Low mode for breakout confirmation ► Timeframe Analysis Daily for big-picture bias Intraday (15-min) for precise entries and exits
Penunjuk Pine Script®
oleh PtGambler
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as: • Parsifal Swing TrendScore • Parsifal Swing Composite • Parsifal Swing RSI • Parsifal Swing Flow Each module serves as an indicator facilitating judgment of the current swing state in the underlying market. ________________________________________ Background Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable. They can be approached: • One-sidedly, aligning with the trend (generally safer), or • Two-sidedly, aiming to profit from mean reversions as well. Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable. ________________________________________ The Parsifal Swing Suite The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions. All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%). ________________________________________ The Parsifal.Swing.TrendScore – Specifics The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior. ________________________________________ How Swing.TrendScore Works The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators. Additionally, it calculates a short-term trend score using core technical signals, including: • The Z-score of the price's distance from various EMAs • The slope of EMAs • Other trend-strength signals from additional technical indicators These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior. ________________________________________ How to Interpret Swing.TrendScore The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align. It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior. This makes Swing.TrendScore particularly valuable for: • Short-term trend-following strategies • Medium-term swing trading Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations. ________________________________________ Behavior and Chart Representation The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond). • Historically high or low values may suggest overbought or oversold conditions • The chart displays: o A fast curve (orange) o A slow curve (white) o A shaded background representing the market state • Extreme values followed by curve reversals may signal a developing mean reversion ________________________________________ TrendScore Background Value The Background Value reflects the combined state of the short-term trend and swing: • > 0 (shaded green) → Bullish mode: swing and short-term trend both upward • < 0 (shaded red) → Bearish mode: swing and short-term trend both downward • The absolute value represents the confidence level in the market mode Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa. ________________________________________ How to Use the Parsifal.Swing.TrendScore Several change points can act as entry triggers or aids: • Fast Trigger: change in slope of the fast signal curve • Trigger: fast line crosses slow line or the slope of the slow signal changes • Slow Trigger: change in sign of the Background Value Examples of these trigger points are illustrated in the accompanying chart. Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process. ________________________________________ As always, this indicator should be used in conjunction with other tools and market context in live trading. While it provides valuable insight and potential entry points, it does not predict future price action. Instead, it reflects recent tendencies and should be used judiciously. ________________________________________ Extensions The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on: • Historical performance • Relevance of the data • Specific market conditions Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures. Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing. Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Penunjuk Pine Script®
oleh parsifaltrading
Ceres Trader Simple Trend & Momentum SignalsCeres Trader – Simple Trend & Momentum Signals Description: Cut through chart noise with a lightweight, two-factor signal system that combines a classic trend filter (200 EMA) with momentum confirmation (smoothed RSI as a QQE proxy). This indicator plots clean entry arrows—no background shading, no clutter—so you can trade only in the high-probability regime: Trend Filter: 200-period exponential moving average Momentum Filter: RSI(14) smoothed over N bars, offset by 50 to create a zero-line Long Entry: Price above the 200 EMA and the smoothed RSI crosses up through zero → green up-arrow below bar Short Entry: Price below the 200 EMA and the smoothed RSI crosses down through zero → red down-arrow above bar Key Features: Minimalist display: only the 200 EMA and entry arrows Customizable inputs: EMA length, RSI length, RSI smoothing period Ultra-low CPU load: suitable for lower timeframes (e.g. 1 min gold futures) Yellow label text: for optimal visibility on dark or light chart backgrounds How to Use: Add the script to your TradingView chart. Choose your timeframe and adjust inputs as needed. Take only the long signals when price is above the EMA, and only the short signals when price is below. Place stops just beyond the EMA; targets can be measured swings or fixed R-multiples. Notes: Designed as a regime-based entry filter—no exits or background fills included. Feel free to combine with your own stop-loss, take-profit, and money-management rules. Trade smarter, not harder—let the market tell you only when both trend and momentum align.
Penunjuk Pine Script®
oleh CeresTrader
ETI IndicatorThe Ensemble Technical Indicator (ETI) is a script that combines multiple established indicators into one single powerful indicator. Specifically, it takes a number of technical indicators and then converts them into +1 to represent a bullish trend, or a -1 to represent a bearish trend. It then adds these values together and takes the running sum over the past 20 days. The ETI is composed of the following indicators and converted to +1 or -1 using the following criteria: Simple Moving Average (10 days) : When the price is above the 10-day simple moving averaging, +1, when below -1 Weighted Moving Average (10 days) : Similar to the SMA 10, when the the price is above the 10-day weighted moving average, +1, when below -1 Stochastic K% : If the current Stochastic K% is greater than the previous value, then +1, else -1. Stochastic D% : Similar to the Stochastic K%, when the current Stochastic D% is greater than the previous value, +1, else -1. MACD Difference : First subtract the MACD signal (i.e. the moving average) from the MACD value and if the current value is higher than the previous value, then +1, else -1. William's R% : If the current William's R% is greater than the previous one, then +1, else -1. William's Accumulation/Distribution : If the current William's AD value is greater than the previous value, then +1, else -1. Commodity Channel Index : If the Commodity Channel Index is greater than 200 (overbought), then -1, if it is less than -200 (oversold) then +1. When it is between those values, if the current value is greater than the previous value then +1, else -1. Relative Strength Index : If the Relative Strength Index is over 70 (overbought) then -1 and if under 30 (oversold) then +1. If the Relative Strength Indicator is between those values then if the current value is higher than the previous value +1, else -1. Momentum (9 days) : If the momentum value is greater than 0, then +1, else -1. Again, once these values have been calculated and converted, they are added up to produce a single value. This single value is then summed across the previous 20 candles to produce a running sum. By coalescing multiple technical indicators into a single value across time, traders can better understand how multiple inter-related indicators are behaving at once; high scores indicate that numerous indicators are showing bullish signals indicating a potential or ongoing uptrend (and vice-versa with low scores). Additional Features Numerous smoothing transformations have also been added (e.g. gaussian smoothing) to remove some of the noise might exist. Suggested Use It is recommended that stocks are shorted when the cross below 0, and are bought when the ETI crosses above -40. Arrows can be shown on the indicator to show these points. However feel free to use levels that work best for you. Traditionally, I have treated values above +50 as overbought and below -40 as undersold (with -80 indicating extremely oversold); however these levels could also indicate either upwards and downwards momentum so taking a position based on where the ETI is (rather than crossing levels) should be done with caution.
Penunjuk Pine Script®
oleh ExpertCBCD
ADX Forecast [Titans_Invest]ADX Forecast This isn’t just another ADX indicator — it’s the most powerful and complete ADX tool ever created, and without question the best ADX indicator on TradingView, possibly even the best in the world. ADX Forecast represents a revolutionary leap in trend strength analysis, blending the timeless principles of the classic ADX with cutting-edge predictive modeling. For the first time on TradingView, you can anticipate future ADX movements using scientifically validated linear regression — a true game-changer for traders looking to stay ahead of trend shifts. 1. Real-Time ADX Forecasting By applying least squares linear regression, ADX Forecast projects the future trajectory of the ADX with exceptional accuracy. This forecasting power enables traders to anticipate changes in trend strength before they fully unfold — a vital edge in fast-moving markets. 2. Unmatched Customization & Precision With 26 long entry conditions and 26 short entry conditions, this indicator accounts for every possible ADX scenario. Every parameter is fully customizable, making it adaptable to any trading strategy — from scalping to swing trading to long-term investing. 3. Transparency & Advanced Visualization Visualize internal ADX dynamics in real time with interactive tags, smart flags, and fully adjustable threshold levels. Every signal is transparent, logic-based, and engineered to fit seamlessly into professional-grade trading systems. 4. Scientific Foundation, Elite Execution Grounded in statistical precision and machine learning principles, ADX Forecast upgrades the classic ADX from a reactive lagging tool into a forward-looking trend prediction engine. This isn’t just an indicator — it’s a scientific evolution in trend analysis. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the ADX, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an ADX time series like this: Time → ADX  → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted ADX, which can be crossed with the actual ADX to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public ADX with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining ADX with linear regression, this indicator allows a trader to predict market momentum, not just follow it. ADX Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _______________________________________________________________________ 🥇 This is the world’s first ADX indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________ _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE ADX❓ The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down. The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength. ⯁ HOW TO USE THE ADX❓ The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones: • Strong Trend: When the ADX is above 25, indicating a strong trend. • Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend. • Neutral Zone: Between 20 and 25, where the trend strength is unclear. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 🔹 +DI > -DI 🔹 +DI < -DI 🔹 +DI > ADX 🔹 +DI < ADX 🔹 -DI > ADX 🔹 -DI < ADX 🔹 ADX > Threshold 🔹 ADX < Threshold 🔹 +DI > Threshold 🔹 +DI < Threshold 🔹 -DI > Threshold 🔹 -DI < Threshold 🔹 +DI (Crossover) -DI 🔹 +DI (Crossunder) -DI 🔹 +DI (Crossover) ADX 🔹 +DI (Crossunder) ADX 🔹 +DI (Crossover) Threshold 🔹 +DI (Crossunder) Threshold 🔹 -DI (Crossover) ADX 🔹 -DI (Crossunder) ADX 🔹 -DI (Crossover) Threshold 🔹 -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 🔸 +DI > -DI 🔸 +DI < -DI 🔸 +DI > ADX 🔸 +DI < ADX 🔸 -DI > ADX 🔸 -DI < ADX 🔸 ADX > Threshold 🔸 ADX < Threshold 🔸 +DI > Threshold 🔸 +DI < Threshold 🔸 -DI > Threshold 🔸 -DI < Threshold 🔸 +DI (Crossover) -DI 🔸 +DI (Crossunder) -DI 🔸 +DI (Crossover) ADX 🔸 +DI (Crossunder) ADX 🔸 +DI (Crossover) Threshold 🔸 +DI (Crossunder) Threshold 🔸 -DI (Crossover) ADX 🔸 -DI (Crossunder) ADX 🔸 -DI (Crossover) Threshold 🔸 -DI (Crossunder) Threshold 🔮 +DI (Crossover) -DI Forecast 🔮 +DI (Crossunder) -DI Forecast 🔮 ADX (Crossover) +DI Forecast 🔮 ADX (Crossunder) +DI Forecast ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : ADX Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Penunjuk Pine Script®
oleh Titans_Invest
WaveFunction MACD (TechnoBlooms)WaveFunction MACD — The Next Generation of Market Momentum WaveFunction MACD is an advanced hybrid momentum indicator that merges: • The classical MACD crossover logic (based on moving averages) • Wave physics (modeled through phase energy and cosine functions) • Hilbert Transform theory from signal processing • The concept of a wavefunction from quantum mechanics, where price action is seen as a probabilistic energy wave—not just a trend. ✨ Key Features of WaveFunction MACD • Wave Energy Logic : Instead of using just price and MA differences, this indicator computes phase-corrected momentum using the cosine of the wave phase angle — revealing the true energy behind market moves. • Phase-Based Trend Detection : It reads cycle phases using Hilbert Transform-like logic, allowing you to spot momentum before it becomes visible in price. • Ultra-Smooth Flow : The main line and histogram are built to follow price flow smoothly — eliminating much of the noise found in traditional MACD indicators. • Signal Amplification via Energy Histogram : The histogram doesn’t just show momentum changes — it shows the intensity of wave energy, allowing you to confirm the strength of the trend. • Physics-Driven Structure : The algorithm is rooted in real-world wave mechanics, bringing a scientific edge to trading — ideal for traders who believe in natural models like cycles and harmonics. • Trend Confirmation & Early Reversals : It can confirm strong trends and also catch subtle shifts that often precede big reversals — giving you both reliability and anticipation. • Ready for Fusion : Designed to work seamlessly with liquidity zones, price action, order blocks, and structure trading — a perfect fit for modern trading systems. 🧪 The Science Behind It This tool blends: • Hilbert Transform: Measures the phase of a waveform (price cycle) to detect turning points • Cosine Phase Energy: Calculates true wave energy using the cosine of the phase angle, revealing the strength behind price movements • Quantum Modeling: Views price like a wavefunction, offering predictive insight based on phase dynamics
Penunjuk Pine Script®
oleh TechnoBlooms
9
Stochastics + VixFix Buy/Sell SignalsThis script is designed for long-term investors using ETFs on a weekly timeframe, where catching high-probability bottoms is the goal. It combines the Stochastic Oscillator with the Williams VixFix to identify moments of extreme fear and potential reversals. A Buy signal is triggered when: Stochastic %K drops below 20 VixFix forms a green spike (suggesting a panic-driven market flush) A Sell signal is triggered when: Stochastic %K rises above 90 VixFix falls below 5 (indicating excessive complacency) Catching tops is much harder than catching bottoms. These Sell signals are not designed to fully exit positions. Instead, they suggest trimming a small portion of ETF holdings — simply to free up liquidity for future opportunities. This strategy is ideal for: Long-term ETF investors Weekly charts Systematic decision-making in volatile markets Use in conjunction with macro indicators, sector rotation, and valuation frameworks for best results.
Penunjuk Pine Script®
oleh aldofg
DEMA HMA Z-score OscillatorThis custom oscillator combines the power of the Hull Moving Average (HMA) with the Z-Score to identify momentum shifts and potential trend reversals. The Z-Score measures how far the current HMA is from its historical mean, helping to spot overbought or oversold conditions. Uptrend: Long signals are generated when the Z-Score crosses above the defined Long Threshold. Downtrend: Short signals are triggered when the Z-Score drops below the Short Threshold. Visuals: The Z-Score is plotted along with background color changes and fills to clearly indicate trend strength. Green fills highlight uptrends, while pink fills indicate downtrends. Alerts: Alerts are available for both long and short conditions based on Z-Score crossovers. Customizable Inputs: HMA Length Smoothing Length (for DEMA) Z-Score Length Long and Short Thresholds This indicator is ideal for detecting momentum shifts, confirming trend strength, and helping to time entry/exit points in your trading strategy.
Penunjuk Pine Script®
oleh EarthlyExile
1
Market Manipulation Index (MMI)The Composite Manipulation Index (CMI) is a structural integrity tool that quantifies how chaotic or orderly current market conditions are, with the aim of detecting potentially manipulated or unstable environments. It blends two distinct mathematical models that assess price behavior in terms of both structural rhythm and predictability. 1. Sine-Fit Deviation Model: This component assumes that ideal, low-manipulation price behavior resembles a smooth oscillation, such as a sine wave. It generates a synthetic sine wave using a user-defined period and compares it to actual price movement over an adaptive window. The error between the real price and this synthetic wave—normalized by price variance—forms the Sine-Based Manipulation Index. A high error indicates deviation from natural rhythm, suggesting structural disorder. 2. Predictability-Based Model: The second component estimates how well current price can be predicted using recent price lags. A two-variable rolling linear regression is computed between the current price and two lagged inputs (close and close ). If the predicted price diverges from the actual price, this error—also normalized by price variance—reflects unpredictability. High prediction error implies a more manipulated or erratic environment. 3. Adaptive Mechanism: Both components are calculated using an adaptive smoothing window based on the Average True Range (ATR). This allows the indicator to respond proportionally to market volatility. During high volatility, the analysis window expands to avoid over-sensitivity; during calm periods, it contracts for better responsiveness. 4. Composite Output: The two normalized metrics are averaged to form the final CMI value, which is then optionally smoothed further. The output is scaled between 0 and 1: 0 indicates a highly structured, orderly market. 1 indicates complete structural breakdown or randomness. Suggested Interpretation: CMI < 0.3: Market is clean and structured. Trend-following or breakout strategies may perform better. CMI > 0.7: Market is structurally unstable. Choppy price action, fakeouts, or manipulative behavior may dominate. CMI 0.3–0.7: Transitional zone. Caution or reduced risk may be warranted. This indicator is designed to serve as a contextual filter, helping traders assess whether current market conditions are conducive to structured strategies, or if discretion and defense are more appropriate.
Penunjuk Pine Script®
oleh Tradenometry
9
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines —  ZVOL  ( volume anomaly detection ) and  OBVX  ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes  optical tensegrity  to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame. 🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets,  Volumetric Tensegrity  captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes. 🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate. 🧠 Core Logic - VTense separates and preserves two essential structural forces: • ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior. • OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off. 🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint. 🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points  before  price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation. 🪖 From Generals to Scouts 👀 When used jointly,  ZVOL + OBVX  act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a  scout  — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate. 🥂 Use the ZVOL + OBVX pair when : • You need independent axis control and manual dissection • You’re building long-form confluence setups • You have more indicator slots than you need 🔎 Use VTense when : • You need compact clarity across multiple instruments • You’re prioritizing confluence _detection_ over granular separation • You’re building efficient multi-layered systems under slot constraints 🏗️ Structural Behavior and Interpretation 🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline 🔵  Compression Coil  – volume volatility is low and stable; the market is coiling 🟢  Steady Rhythm  – volume is healthy but unremarkable; balanced participation 🟡  Passive/Absorbed Effort  – expansion failing to manifest; watch for reversal 🟠  Clean Expansion  – actionable volatility rise backed by structure 🔴  Volatile Blowout  – chaos, climax; likely end-phase or fakeout ⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically  abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field. 🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves 🔑 The curvature of the spread reveals not just directional bias but  crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision. • Green Rising : Accumulation — upward pressure from real buyers • Red Falling : Distribution — sell pressure, downward slope • Flat Curves : Transitional → uncertainty, microstructure digestion 🎭 Synchronized vs Divergent Behavior ⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves. • ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure • ZVOL expands while OBVX steepens red = growing sell-side intent 🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps. • ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment ⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release. • ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy • After prolonged drift, expect violent asymmetry when balance finally breaks 📚 Phase Interpretation: Dynamic Structural Read • 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency • 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension • 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment • 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal 💡 Suggested Use • Run on 15m charts for breakout anticipation and 1H for validation • Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase • Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.) • Ideal during low-volume regimes to detect pressure buildup before triggers 🧏🏻 Volumetric Tensegrity doesn’t signal. It  breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
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