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Volume Profile Skew [BackQuant]Volume Profile Skew Overview Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not: “Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?” A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking. This gives you two layers at once: A full profile and its important levels (where volume is). A skew metric (how volume is leaning within that range). What this indicator is based on The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis: POC (Point of Control): the price level with the highest traded volume. Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume. Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity. Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments: Mean: where the mass is centered. Standard deviation: how spread-out it is. Skewness: whether the distribution has a heavier tail toward higher or lower prices. This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns. Core concept: what “skew” means in a volume profile Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes: Balanced profile: volume is fairly symmetric around the mean, skew near 0. Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive. Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative. In this script: Positive skew is labeled as ACCUMULATION. Negative skew is labeled as DISTRIBUTION. Near-zero skew is NEUTRAL. Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices. How the volume profile is built 1) Define the analysis window The profile is computed on a rolling window: Lookback Period: number of bars included (capped by available history). Profile Resolution (bins): number of price bins used to discretize the high-low range. The script finds the highest high and lowest low in the lookback window to define the price range: rangeHigh = highest high in window rangeLow = lowest low in window binSize = (rangeHigh - rangeLow) / bins 2) Create bin midpoints Each bin gets a midpoint “price” used for calculations: price = rangeLow + binSize * (b + 0.5) These midpoints are what the mean, variance, and skewness are computed on. 3) Distribute each candle’s volume into bins This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges: For each bar in the lookback: Determine which bins its low-to-high range touches. Split that candle’s total volume evenly across the touched bins. So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar. This approach has tradeoffs: It does not know where within the candle the volume truly traded. It assumes uniform distribution across the candle range. It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes. But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure. Key profile levels: POC, VAH, VAL, VWMP POC (Point of Control) POC is found by scanning bins and selecting the bin with maximum volume. The script stores: pocIndex: which bin has max volume poc price: midpoint price of that bin Value Area (VAH/VAL) using 70% volume The script builds the value area around the POC outward until it captures 70% of total volume: Start with the POC bin. Expand one bin at a time to the side with more volume. Stop when accumulated volume >= 70% of total profile volume. Then: VAL = rangeLow + binSize * lowerIdx VAH = rangeLow + binSize * (upperIdx + 1) This produces a classic “where most business happened” zone. VWMP (Volume-Weighted Mean Price) This is essentially the center of mass of the profile: VWMP = sum(price * volume ) / totalVolume It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price. Skewness calculation: turning the profile into an oscillator This is the main feature. 1) Treat volumes as weights For each bin: weight = volume / totalVolume Now weights sum to 1. 2) Compute weighted mean Mean price: mean = sum(weight * price ) 3) Compute weighted variance and std deviation Variance: variance = sum(weight * (price - mean)^2) stdDev = sqrt(variance) 4) Compute weighted third central moment Third moment: m3 = sum(weight * (price - mean)^3) 5) Standardize to skewness Skewness: rawSkew = m3 / (stdDev^3) This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable. Smoothing and regime rules Raw skewness can be jumpy because: profile bins change as rangeHigh/rangeLow shift, one high-volume candle can reshape the distribution, volume regimes change quickly in crypto. So the indicator applies EMA smoothing: smoothedSkew = EMA(rawSkew, smooth) Then it classifies regime using fixed thresholds: Bullish (ACCUMULATION): smoothedSkew > +0.25 Bearish (DISTRIBUTION): smoothedSkew < -0.25 Neutral: between those values Signals are generated on threshold cross events: Bull signal when smoothedSkew crosses above +0.25 Bear signal when smoothedSkew crosses below -0.25 This makes the skew act like a regime oscillator rather than a constantly flipping color. Volume Profile plotting modes The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume: volRatio = binVol / maxVol barWidth = volRatio * width Three style modes exist: 1) Gradient Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade. 2) Solid Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.” 3) Skew Highlight Highlights bins that match the skew bias: If skew bullish, emphasize lower portion of profile. If skew bearish, emphasize higher portion of profile. Else, keep most bins neutral. This is a visual “where the skew is coming from” mode. Historical POC tracking and Naked POCs This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels. What is a “naked POC”? A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with. How this script records POCs It stores a new historical POC when: At least updatebars have passed since the last stored POC, and The POC has changed by at least pochangethres (%) from the last stored value. New stored POCs are flagged as naked by default. How naked becomes tested On each update, the script checks whether price has entered a small zone around a naked POC: zoneSize = POC * 0.002 (about 0.2%) If bar range overlaps that zone, mark it as tested (not naked). Display controls: Highlight Naked POCs: draws and labels untested POCs. Show Tested POCs: optionally draw tested ones in a muted color. To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC. On-chart key levels and what they mean When enabled, the script draws the current lookback profile levels on the price chart: POC (solid): the “most traded” price. VAH/VAL (dashed): boundaries of the 70% value area. VWMP (dotted): volume-weighted mean of the profile distribution. Interpretation framework (practical, not mystical): POC often behaves like a magnet in balanced conditions. VAH/VAL define the “accepted” area, breaks can signal auction continuation. VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing. Oscillator panel and histogram The skew oscillator is plotted in a separate pane: Line: smoothedSkew, colored by regime. Histogram: smoothedSkew as bars, colored by sign. Fill: subtle shading above/below 0 to reinforce bias. This makes it easy to read: Direction of bias (positive vs negative). Strength (distance from 0 and from thresholds). Transitions (crosses of ±0.25). Info table: what it summarizes On the last bar, a table prints key diagnostics: Current skew value (smoothed). Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL). Current POC, VAH, VAL, VWMP. Count of naked POCs still active. A simple “volume location” hint (lower/higher/balanced). This is designed for quick scanning without reading the entire profile. Alerts The indicator includes alerts for: Skew regime shifts (cross above +0.25, cross below -0.25). Price crossing above/below current POC. Approaching a naked POC (within 1% of any active naked POC). The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone. How to use it properly 1) Regime filter Use skew regime to decide what type of trades you should prioritize: ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more. DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more. NEUTRAL: mean-reversion and POC magnet behavior tends to dominate. This is not “buy when green.” It is context for what the auction is doing. 2) Level-based execution Combine skew with VA/POC levels: In neutral regimes, expect rotations around POC and inside VA. In strong skew regimes, watch for acceptance away from POC and reactions at VA edges. 3) Naked POCs as targets and reaction zones Naked POCs can act like unfinished business. Common workflows: As targets in rotations. As areas to reduce risk when price is approaching. As “if it breaks cleanly, trend continuation” markers when price returns with force. Parameter tuning guidance Lookback Controls how “local” the profile is. Shorter: reacts faster, more sensitive to recent moves. Longer: more stable, better for swing context. Bins Controls resolution of the profile. Higher bins: more detail, more computation, more sensitive profile shape. Lower bins: smoother, less detail, more stable skew. Smoothing Controls how noisy the skew oscillator is. Higher smoothing: fewer regime flips, slower response. Lower smoothing: more responsive, more false transitions. POC tracking settings Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts. Limitations and what not to assume This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means: The profile is an approximation of where volume could have traded, not exact tape data. Skew is best treated as a structural bias, not a precise signal generator. Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality. Summary Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
Indicador Pine Script®
por BackQuant
2
LDEF SENS Loss Dependent Error Filter Dominance Regime SwitchCAPITALCOM:GOLD LDEF SENS stands for Loss Dependent Error Filter. This indicator is a dominance regime filter with an adaptive switch boundary. It separates the market into two main states. Directional tradeable tape (trend and impulse conditions) Balanced noisy tape (higher fakeout probability) It also provides a dominance direction bias (bull vs bear) and an adaptive boundary you can use as a market switch signal. What you see in the indicator pane (bottom panel) Main line (0 to 100): dominance sensitivity score Line color meaning Green: bullish dominance (L greater than R) Red: bearish dominance (R greater than L) Gray: low strength or mixed tape Purple line: adaptive regime boundary (moving threshold) Violet shading: regime ON (tradeable conditions) Key idea: height equals strength, color equals direction, violet shading equals regime state. How to read the three images Image A - Regime ON in a trending environment Where to look Price panel: left to middle shows a clean up move Indicator panel: directly below the same time window Violet band is present for a sustained stretch Main line stays high and mostly green What it means When the violet band stays ON, the tape is directional enough for trend following setups to have higher quality. This is not an entry signal. It is an environment filter. Image B - Switch boundary and state changes Where to look Indicator panel: focus on the purple adaptive line and the main line crossing relative to it Watch the moment the main line moves above the purple line. In the same region, violet shading turns ON. What it means The purple line is the adaptive regime boundary. Cross above: regime switches toward directional tape (state change confirmation) Cross below: regime fades and chop risk returns Image C - Direction semantics inside a regime Where to look Indicator panel: inside violet shaded regions Main line is green during bullish dominance (L greater than R) Main line is red during bearish dominance (R greater than L) What it means Violet answers: is this a tradeable regime Green or red answers: which side is dominating Together, they provide a filter plus bias framework. Practical usage Regime filter Prefer setups only when the violet band is ON Reduce size or tighten criteria when the violet band is OFF Direction bias Prefer longs when the line is green Prefer shorts when the line is red Treat gray as no edge or mixed tape Switch boundary analysis Cross above purple: treat as regime shift confirmation Cross below purple: treat as regime cooling off and higher chop risk Limitations This is a regime and dominance tool, not a standalone entry generator. Regime confirmation can be late by design, especially after shocks. Use it with structure, liquidity, and risk management.
Indicador Pine Script®
por TheWannaBeQuant
5
SPY 200SMA +4% Entry -3% Exit TQQQ/QLD/GLDM THREE PHASE STRATEGYWanted to take a look at all of the individual trades and provide a series of options to balance performance and risk. This post is expanding on my previous one - www.reddit.com Here is the data and the backtesting splitting the strategy into three primary phases with multiple options and exact trade dates to help people easily backtest other combinations - docs.google.com (Three Tabs with the three phases) If you just want my personal recommendations this would be what I will be using - PHASE 1 (Strategy BUY signal triggers when SPY price crosses +4% over the SPY 200SMA) = 100% TQQQ If trade lasts 366 days (Long Term Cap Gains) go to PHASE 2 If SPY price crosses below -3% SPY 200SMA go to PHASE 3 PHASE 2 (PHASE 1 lasts 366 days) = Deleverage and diversify into 50% QLD & 50% GLDM PHASE 3 (Strategy SELL signal triggers when SPY price crosses -3% below the SPY 200SMA) = Defensive posture with 50% SGOV & 50% GLDM As market degrades start selling SGOV and buying QQQ until 50% QQQ & 50% GLDM TradingView Script for the THREE PHASE STRATEGY (imgur.com): // @version= 5 strategy("SPY 200SMA +4% Entry -3% Exit Strategy",      overlay=true,      default_qty_type=strategy.percent_of_equity,      default_qty_value=100) // === Inputs === smaLength      = input.int(200, title="SMA Period", minval=1) entryThreshold = input.float(0.04, title="Entry Threshold (%)", step=0.01) exitThreshold  = input.float(0.03, title="Exit Threshold (%)", step=0.01) startYear      = input.int(1995, "Start Year") startMonth     = input.int(1, "Start Month") startDay       = input.int(1, "Start Day") // === Time filter === startTime    = timestamp(startYear, startMonth, startDay, 0, 0) isAfterStart = time >= startTime // === Calculations === sma200         = ta.sma(close, smaLength) upperThreshold = sma200 * (1 + entryThreshold) lowerThreshold = sma200 * (1 - exitThreshold) // === Strategy Logic === enterLong = close > upperThreshold exitLong  = close < lowerThreshold if isAfterStart     if enterLong and strategy.position_size == 0         strategy.entry("Buy", strategy.long)     if exitLong and strategy.position_size > 0         strategy.close("Buy") // === 366-Day Marker Logic (Uninterrupted) === var int targetTime = na // 1. Capture entry time only when a brand new position starts if strategy.position_size > 0 and strategy.position_size == 0     targetTime := time + (366 * 24 * 60 * 60 * 1000) // 2. IMPORTANT: If position is closed or a sell signal hits, reset the timer to "na" if strategy.position_size == 0     targetTime := na // 3. Trigger only if we are still in the trade and hit the timestamp isAnniversary = not na(targetTime) and time >= targetTime and time < targetTime // === Visuals === p_sma   = plot(sma200, title="200 SMA", color=color.rgb(255, 0, 242)) p_upper = plot(upperThreshold, title="Entry Threshold (+4%)", color=color.rgb(0, 200, 0)) p_lower = plot(lowerThreshold, title="Exit Threshold (-3%)", color=color.rgb(255, 0, 0)) fill(p_sma, p_upper, color=color.new(color.green, 80), title="Entry Zone") // Draw marker only if 366 days passed without a sell if isAnniversary     label.new(bar_index, high, "366 DAYS - PHASE 2", style=label.style_label_down, color=color.yellow, textcolor=color.black, size=size.small) // === Entry/Exit Labels === newOpen  = strategy.position_size > 0 and strategy.position_size == 0 newClose = strategy.position_size == 0 and strategy.position_size > 0 if newOpen     label.new(x=bar_index, y=low * 0.97, text="BUY - PHASE 1", xloc=xloc.bar_index, yloc=yloc.price, color=color.lime, style=label.style_label_up, textcolor=color.black, size=size.small) if newClose     label.new(x=bar_index, y=high * 1.03, text="SELL - PHASE 3", xloc=xloc.bar_index, yloc=yloc.price, color=color.red, style=label.style_label_down, textcolor=color.white, size=size.small) 200 SMA SPY Trading Range Bands Script: // @version= 5 indicator("200 SMA SPY Trading Range Bands", overlay=true) // === Settings === smaLength = input.int(200, title="SMA Length") mult1      = input.float(1.09, title="Multiplier 1 (9% Over)") mult2      = input.float(1.15, title="Multiplier 2 (15% Over)") // === Calculations === smaValue = ta.sma(close, smaLength) line9Over = smaValue * mult1 line15Over = smaValue * mult2 // === Plotting === plot(smaValue, title="200 SMA", color=color.gray, linewidth=1, style=plot.style_linebr) plot(line9Over, title="9% Over 200 SMA", color=color.rgb(255, 145, 0), linewidth=1) plot(line15Over, title="15% Over 200 SMA", color=color.rgb(38, 1, 1), linewidth=2)
Estrategia Pine Script®
por freefighter07
Volume Weighted Intra Bar LR KurtosisThis indicator analyzes market character by decomposing total Excess Kurtosis ("Fat Tails") of a SINGLE BAR into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Intra-Bar LR Kurtosis Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). It fits a Linear Regression line through the intra-bar data to decompose the 4th Moment: - **Trend Kurtosis (Gold):** Peakedness of the regression line itself. High values indicate the price path within the bar moves in sudden jumps, steps, or gaps (discontinuous path). - **Residual Kurtosis (Red):** Excess Kurtosis of the noise around the regression line. Captures "Hidden Tail Risk" or extreme outliers within the bar relative to the trend. - **Within-Bar Kurtosis (Blue):** Fat tails derived from the microstructure of individual intra-bar candles. - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since statistical moments are additive, this indicator calculates the *exact* Total Kurtosis and partitions the columns based on the Law of Total Moments. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Plots the *total* kurtosis as a stacked column chart. Stacking logic groups components to ensure visual clarity of the magnitude. - **Relative Mode:** Plots the direct *contribution ratio* (proportion) of each component relative to the total sum, ideal for identifying the dominant driver (Trend vs. Noise). 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the kurtosis of *returns* rather than absolute prices. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and moment calculations, emphasizing high-participation moves. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* kurtosis line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Kurtosis magnitude (High Positive / High Negative). - Character changes (Trend Jumps vs. Noise Outliers). - Total Kurtosis pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted Intra Bar KurtosisThis indicator analyzes market sentiment by providing a detailed view of Excess Kurtosis ("Fat Tails"). It uses data from a lower, intra-bar timeframe to separate the total kurtosis of a single bar into distinct, interpretable components. Key Features: 1. **Intra-Bar Kurtosis Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). Unlike Variance, the Fourth Central Moment (Kurtosis) decomposes into three parts: - **Between-Bar Kurtosis (Gold):** Peakedness of the price path *between* the intra-bar candles. High values indicate that the macro movement happened in jumps or gaps rather than a smooth progression. - **Within-Bar Kurtosis (Blue):** Fat tails derived from the microstructure (extreme wicks) *inside* the intra-bar candles. - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since Kurtosis coefficients are not linearly additive, this indicator calculates the *exact* Total Kurtosis and partitions the columns based on the additive Fourth Moment Decomposition (`M4Tot = M4Btw + M4Wtn + M4Int`). 3. **Dual Display Modes:** The indicator offers two modes to visualize this information: - **Absolute Mode:** Plots the *total* kurtosis as a stacked column chart, showing the *absolute magnitude* of tail risk and the contribution of each component. - **Relative Mode:** Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the *energy ratio* of the components. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and moment calculations. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* kurtosis line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes alerts for: - Kurtosis magnitude (High Positive / High Negative). - Kurtosis character changes/emerging/fading. - Total Kurtosis pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted LR KurtosisThis indicator analyzes market character by decomposing total Excess Kurtosis ("Fat Tails") into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Four-Component Kurtosis Decomposition:** The indicator separates market tail risk based on the 'Estimate Bar Statistics' option. It leverages the Law of Total Moments to provide an additive breakdown of the 4th Statistical Moment: - **Trend Kurtosis (Gold):** Peakedness of the regression line itself. High values indicate the trend moves in sudden jumps, steps, or gaps (discontinuous path). - **Residual Kurtosis (Red):** Excess Kurtosis of the noise around the regression line. This captures the "Hidden Tail Risk" (extreme outliers relative to the trend). - **Within-Bar Kurtosis (Blue):** Fat tails derived from the microstructure of individual bars (requires 'Estimate Bar Statistics'). - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since statistical moments are additive, this indicator calculates the *exact* Total Kurtosis and partitions the area to visualize the contribution (weight) of each structural source to the overall tail risk. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *total* kurtosis as a stacked area chart, allowing to see the magnitude of tail risk. Stacking logic groups components to ensure visual clarity. - **Relative Mode:** Displays the direct *contribution ratio* (proportion) of each component relative to the total sum, ideal for identifying the dominant driver of the risk. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the kurtosis of *returns* rather than absolute prices. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and moment calculations, emphasizing high-participation moves. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* kurtosis line. This helps identify extremes in market fragility or structural changes. - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Kurtosis Lines:** The kurtosis lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Kurtosis magnitude (High Positive / High Negative). - Kurtosis character changes/emerging/fading. - Total Kurtosis pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted KurtosisThis indicator analyzes market sentiment by decomposing total Excess Kurtosis ("Fat Tails") into distinct, interpretable components: "Between-Bar" (Trend Path) and "Within-Bar" (Microstructure). Key Features: 1. **Moment-Based Kurtosis Decomposition:** The indicator separates kurtosis based on the 'Estimate Bar Statistics' option. It leverages the additive property of the Fourth Central Moment (Cumulants) to ensure mathematical rigor: - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates simple kurtosis of the selected `Source`. - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* kurtosis. This separates the tail risk into: - **Between-Bar Kurtosis (Gold):** Peakedness of the price path itself. High values indicate the trend moves in jumps or gaps rather than a smooth progression. - **Within-Bar Kurtosis (Blue):** Fat tails within the microstructure. High values imply significant outliers inside the bars (e.g., extreme wicks). - **Interaction Variance (Dark Grey):** The comovement of variance and mean deviations (volatility clustering relative to trend). - **Interaction Skewness (Darker Grey):** The comovement of skewness and mean deviations (asymmetry relative to trend). 2. **Visual Decomposition Logic:** Total Excess Kurtosis is the primary metric displayed. Since Kurtosis coefficients are not linearly additive, this indicator calculates the *exact* Total Kurtosis and partitions the area/ratios based on the additive Fourth Moment Decomposition (`M4Tot = M4Btw + M4Wtn + M4Int`). This ensures the displayed total kurtosis remains mathematically accurate. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *Total Kurtosis* as the main line, with the background filled by the stacked components. Shows the *magnitude* of the tail risk. - **Relative Mode:** Displays the **Contribution Ratios** of each component (-1.0 to 1.0). This isolates the *structure/quality* of the risk (e.g., "Is the risk driven by the trend jumps or by the candle instability?"). 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the kurtosis of *returns* rather than absolute prices. (Essential for correct statistical properties). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all moment calculations, emphasizing high-participation moves. 5. **Kurtosis Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *Total Kurtosis* line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Kurtosis Lines:** The kurtosis lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Kurtosis magnitude (High Positive / High Negative). - Character changes (Inter-Bar vs. Intra-Bar dominance). - Total Kurtosis pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted Intra Bar LR SkewnessThis indicator analyzes market character by decomposing total skewness (asymmetry) of a SINGLE BAR into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Intra-Bar LR Skewness Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). It fits a Linear Regression line through the intra-bar data to decompose the 3rd Moment: - **Trend Skewness (Green/Red):** Asymmetry originating from the slope of the intra-bar regression line. Indicates if the price path within the bar is geometrically trend-driven. - **Residual Skewness (Yellow):** Asymmetry of the noise around the regression line. Captures "Tail Risk" or sudden shocks within the bar that deviate from the main path. - **Within-Bar Skewness (Blue):** Asymmetry derived from the microstructure of individual intra-bar candles. - **Interaction Skewness (Dark Grey):** Asymmetry caused by the correlation between price levels and volatility within the bar (e.g., volatility expanding as price drops). 2. **Visual Decomposition Logic:** Total Skewness is the primary metric displayed. Since statistical moments are additive, this indicator calculates the *exact* Total Skewness and partitions the columns based on the Law of Total Moments. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Plots the *total* skewness as a stacked column chart. Stacking logic groups components with the same sign to ensure visual clarity. - **Relative Mode:** Plots the direct *contribution ratio* (proportion) of each component relative to the total sum, ideal for identifying the dominant driver (Trend vs. Noise). 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the skewness of *returns* rather than absolute prices. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and moment calculations, emphasizing high-participation moves. 5. **Skewness Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* skewness line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Skewness magnitude (High Positive / High Negative). - Character changes (Trend vs. Noise dominance). - Total Skewness pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted Intra Bar SkewnessThis indicator analyzes market sentiment by providing a detailed view of skewness (asymmetry). It uses data from a lower, intra-bar timeframe to separate the total skewness of a single bar into distinct, interpretable components. Key Features: 1. **Intra-Bar Skewness Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe'). Unlike Variance, the Third Central Moment (Skewness) decomposes into three parts: - **Between-Bar Skewness (Gold):** Asymmetry of the price path *between* the intra-bar candles. Indicates if the macro movements within the bar accelerated in one direction. - **Within-Bar Skewness (Blue):** Asymmetry of the microstructure (wicks vs. tails) *inside* the intra-bar candles. - **Interaction Skewness (Grey):** The component arising from the comovement of local means and local variances (e.g., does volatility increase when price drops?). 2. **Visual Decomposition Logic:** Total Skewness is the primary metric displayed. Since Skewness coefficients are not linearly additive, this indicator calculates the *exact* Total Skewness and partitions the columns based on the additive Third Moment Decomposition (`M3Tot = M3Btw + M3Wtn + M3Int`). 3. **Dual Display Modes:** The indicator offers two modes to visualize this information: - **Absolute Mode:** Plots the *total* skewness as a stacked column chart, showing the *absolute magnitude* of asymmetry and the contribution of each component. - **Relative Mode:** Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the *energy ratio* of the components. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and moment calculations. 5. **Skewness Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *total* skewness line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes alerts for: - Skewness magnitude (High Positive / High Negative). - Skewness character changes/emerging/fading. - Total Skewness pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted LR SkewnessThis indicator analyzes market character by decomposing total skewness (asymmetry) into four distinct, interpretable components based on a Linear Regression model. Key Features: 1. **Four-Component Skewness Decomposition:** The indicator separates market asymmetry based on the 'Estimate Bar Statistics' option. It leverages the Law of Total Moments to provide an additive breakdown of the 3rd Statistical Moment: - **Trend Skewness (Green/Red):** Asymmetry originating from the slope of the regression line itself. Indicates if the trend path is geometrically skewed. - **Residual Skewness (Yellow):** Asymmetry of the noise around the regression line. Captures "Tail Risk" (e.g., sudden spikes against the trend). - **Within-Bar Skewness (Blue):** Asymmetry derived from the microstructure of individual bars (requires 'Estimate Bar Statistics'). - **Interaction Skewness (Dark Grey):** Asymmetry caused by the correlation between price levels and volatility (e.g., volatility expanding as price moves in one direction). *Dominance of this component indicates an unstable, emotional market.* 2. **Visual Decomposition Logic:** Total Skewness is the primary metric displayed. Since statistical moments are additive, this indicator calculates the *exact* Total Skewness and partitions the area to visualize the contribution (weight) of each structural source to the overall market bias. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *total* skewness as a stacked area chart, allowing to see the magnitude of tail risk. Stacking logic groups components with the same sign to ensure visual clarity. - **Relative Mode:** Displays the direct *contribution ratio* (proportion) of each component relative to the total sum, ideal for identifying the dominant driver of asymmetry. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the skewness of *returns* rather than absolute prices. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and moment calculations, emphasizing high-participation moves. 5. **Skewness Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *total* skewness line. This helps identify extremes in market sentiment or structural bias. - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Skewness Lines:** The skewness lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Skewness magnitude (High Positive / High Negative). - Skewness character changes/emerging/fading. - Total Skewness pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted SkewnessThis indicator analyzes market sentiment by decomposing total skewness (asymmetry) into two distinct, interpretable components: "Between-Bar" (Inter-Bar) and "Within-Bar" (Intra-Bar) skewness. Key Features: 1. **Moment-Based Skewness decomposition:** The indicator separates skewness based on the 'Estimate Bar Statistics' option. It leverages the additive property of the Third Central Moment to ensure mathematical rigor: - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates simple skewness of the selected `Source`. - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* skewness. This separates the asymmetry into: - **Between-Bar Skewness (Gold):** Asymmetry of the price path itself. A positive value indicates that the trend moves more aggressively upwards than downwards. - **Within-Bar Skewness (Blue):** Asymmetry of the microstructure (wicks vs. tails). A positive value implies strong buying pressure within the bars (long tails). 2. **Visual Decomposition Logic:** Total Skewness is the primary metric displayed. Since Skewness coefficients are not linearly additive, this indicator calculates the *exact* Total Skewness and partitions the area/ratios based on the additive Third Moment Decomposition (`M3Tot = M3Btw + M3Wtn`). This ensures the displayed total skewness remains mathematically accurate. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *Total Skewness* as the main line, with the background filled by the stacked components. Shows the *magnitude* and direction of the tail risk. - **Relative Mode:** Displays the **Contribution Ratios** of each component (-1.0 to 1.0). This isolates the *structure/quality* of the asymmetry (e.g., "Is the skewness driven by the trend or by the candle shapes?"). 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting transforms inputs into logarithmic space, analyzing the skewness of *returns* rather than absolute prices. (Essential for correct statistical properties). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all moment calculations, emphasizing high-participation moves. 5. **Skewness Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (peaks/valleys) in the *Total Skewness* line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Skewness Lines:** The skewness lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Skewness magnitude (High Positive / High Negative). - Character changes (Inter-Bar vs. Intra-Bar dominance). - Total Skewness pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted Intra Bar LR CorrelationThis indicator analyzes market character by providing a detailed view of correlation. It applies a Linear Regression model to intra-bar price action, dissecting the total correlation of each bar into three distinct components. Key Features: 1. **Three-Component Correlation Decomposition:** The indicator separates correlation based on the 'Estimate Bar Statistics' option. - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates correlation based on the selected `Source` (this results mainly in 'Trend' and 'Residual' correlation). - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* correlation. (Assumption: In this mode, the `Source` input is **ignored**, and an estimated mean for each bar is used instead). This separates correlation into: - **Trend Correlation (Green/Red):** Correlation explained by the regression's slope (Directional Alignment). - **Residual Correlation (Yellow):** Correlation from price oscillating around the regression line (Mean-Reversion/Cointegration). - **Within-Bar Correlation (Blue):** Correlation from the high-low range of each bar (Microstructure/Noise). 2. **Visual Decomposition Logic:** Total Correlation is the primary metric displayed. Since Correlation Coefficients are not linearly additive, this indicator plots the *exact* Total Correlation and partitions the area underneath based on the Covariance Ratio. This ensures the displayed total correlation remains mathematically accurate while showing relative composition. 3. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *total* correlation as a stacked area chart, partitioned by the ratio of the three components. - **Relative Mode:** Displays the direct *energy ratio* (proportion) of each component relative to the total (0-1), ideal for identifying the dominant market character. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for growth assets. - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and correlation calculations. 5. **Correlation Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *total* correlation line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Correlation Lines:** The correlation lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes comprehensive alerts for: - Correlation magnitude (High Positive / High Inverse). - Correlation character changes/emerging/fading. - Total Correlation pivot (High/Low) detection. **Caution! Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted Intra Bar CorrelationThis indicator analyzes market character by providing a detailed view of correlation. It uses data from a lower, intra-bar timeframe to separate the total correlation of a single bar into two distinct components. Key Features: 1. **Intra-Bar Correlation Decomposition:** For each bar on the chart, the indicator analyzes the underlying price action on a smaller timeframe ('Intra-Bar Timeframe') and quantifies two types of correlation: - **Between-Bar Correlation (Directional):** Calculated from price movements *between* the intra-bar candles. This component represents the **macro-movement** correlation within the main bar. - **Within-Bar Correlation (Non-Directional):** Calculated from price fluctuations *inside* each intra-bar candle. This component represents the **microstructure/noise** correlation. 2. **Visual Decomposition Logic:** Total Correlation is the primary metric displayed. Since Correlation Coefficients are not linearly additive, this indicator plots the *exact* Total Correlation and partitions the area underneath based on the Covariance Ratio. This ensures the displayed total correlation remains mathematically accurate while showing relative composition. 3. **Dual Display Modes:** The indicator offers two modes to visualize this information: - **Absolute Mode:** Plots the *total* correlation as a stacked column chart, showing the *absolute magnitude* of correlation and the contribution of each component. - **Relative Mode:** Plots the components as a 100% stacked column chart (scaled from 0 to 1), focusing purely on the *energy ratio* of 'between-bar' (macro) and 'within-bar' (micro) correlation. 4. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), making the analysis suitable for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and covariance calculations. 5. **Correlation Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *total* correlation line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 6. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 7. **Multi-Timeframe (MTF) Capability:** - **MTF Analysis Lines:** The entire intra-bar analysis can be run on a higher timeframe (using the `Timeframe` input), with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 8. **Integrated Alerts:** Includes alerts for: - Correlation magnitude (High Positive / High Inverse). - Correlation character changes/emerging/fading. - Total Correlation pivot (High/Low) detection. **Caution: Real-Time Data Behavior (Intra-Bar Repainting)** This indicator uses high-resolution intra-bar data. As a result, the values on the **current, unclosed bar** (the real-time bar) will update dynamically as new intra-bar data arrives. This behavior is normal and necessary for this type of analysis. Signals should only be considered final **after the main chart bar has closed.** --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted LR CorrelationThis indicator analyzes the structural relationship between two assets by decomposing the Total Correlation into three distinct, interpretable components using a Weighted Linear Regression model and a Hybrid Copula Estimator. Key Features: 1. **Hybrid Copula Estimator:** Unlike standard correlation, which often fails on High/Low range data, this indicator fuses two metrics to ensure mathematical rigor: - **Magnitude:** Derived from Rogers-Satchell Volatility (robust to trend). - **Direction:** Derived from Log-Returns. This allows for precise correlation estimates even on intra-bar data. 2. **Three-Component Correlation Decomposition:** The indicator separates correlation based on the 'Estimate Bar Statistics' option. - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates correlation based on the selected `Source`. - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* correlation. This separates the relationship into: - **Trend Correlation (Green/Red):** Correlation of the regression slopes. Indicates if assets are trending in the same direction. - **Residual Correlation (Yellow):** Correlation of the noise around the trend (Cointegration). Indicates if assets mean-revert together, even if trends differ. - **Within-Bar Correlation (Blue):** Correlation of the microstructure (intra-bar volatility). 3. **Visual Decomposition Logic:** Total Correlation is the primary metric displayed. Since Correlation Coefficients are not linearly additive, this indicator calculates the *exact* Total Correlation and partitions the area/ratios based on the additive Covariance Decomposition. This ensures the displayed total correlation remains mathematically accurate. 4. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *Total Correlation* as the main line, with the background filled by the stacked components (Trend, Residual, Within). Shows the *magnitude* of the relationship. - **Relative Mode:** Displays the **Energy Ratios** (-1.0 to 1.0) of each component using L1-Normalization. This isolates the *structure/quality* of the relationship (e.g., "Is the correlation driven by Trend or just by Noise?"). 5. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), creating a constant percentage variance environment. Essential for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all regression and covariance calculations. 6. **Correlation Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *Total Correlation* line. - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 7. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 8. **Multi-Timeframe (MTF) Capability:** - **MTF Correlation Lines:** The correlation lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 9. **Integrated Alerts:** Includes comprehensive alerts for: - Correlation magnitude (High Positive / High Inverse). - Correlation character changes/emerging/fading. - Total Correlation pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Volume Weighted CorrelationThis indicator analyzes the structural relationship between two assets by decomposing the Total Correlation into two distinct, interpretable components: "Between-Bar" (Inter-Bar) and "Within-Bar" (Intra-Bar) correlation. Key Features: 1. **Hybrid Copula Estimator:** Unlike standard correlation, which often fails on High/Low range data, this indicator fuses two metrics to ensure mathematical rigor: - **Magnitude:** Derived from Rogers-Satchell Volatility. - **Direction:** Derived from Log-Returns. This allows for precise correlation estimates even on intra-bar data. 2. **Two-Component Correlation Decomposition:** The indicator separates correlation based on the 'Estimate Bar Statistics' option. - **Standard Mode (`Estimate Bar Statistics` = OFF):** Calculates correlation based on the selected `Source` (Close-to-Close). - **Decomposition Mode (`Estimate Bar Statistics` = ON):** The indicator uses a statistical model ('Estimator') to calculate *within-bar* correlation. This separates the relationship into: - **Between-Bar Correlation (Green/Red):** Correlation of the price paths (means). Indicates if the macro movements of the assets are aligned (Inter-Bar correlation). - **Within-Bar Correlation (Blue):** Correlation of the microstructure (Intra-Bar volatility/noise). 3. **Visual Decomposition Logic:** Total Correlation is the primary metric displayed. Since Correlation Coefficients are not linearly additive, this indicator calculates the *exact* Total Correlation and partitions the area/ratios based on the additive Covariance Decomposition (`CovTot = CovBtw + CovWtn`). This ensures the displayed total correlation remains mathematically accurate. 4. **Dual Display Modes:** The indicator offers two modes to visualize this decomposition: - **Absolute Mode:** Displays the *Total Correlation* as the main line, with the background filled by the stacked components (Between vs. Within). Shows the *magnitude* of the relationship. - **Relative Mode:** Displays the **Energy Ratios** (-1.0 to 1.0) of each component using L1-Normalization. This isolates the *structure/quality* of the relationship (e.g., "Is the correlation driven by price movement or just by volatility coupling?"). 5. **Calculation Options:** - **Normalization:** An optional 'Normalize' setting calculates an **Exponential Regression Curve** (log-space), creating a constant percentage variance environment. Essential for comparing assets with different scales (e.g., BTC vs EURUSD). - **Volume Weighting:** An option (`Volume weighted`) applies volume weighting to all mean and covariance calculations. 6. **Correlation Cycle Analysis:** - **Pivot Detection:** Includes a built-in pivot detector that identifies significant turning points (highs and lows) in the *Total Correlation* line. (Note: This is only visible in 'Absolute Mode'). - **Flexible Pivot Algorithms:** Supports various underlying mathematical models for pivot detection provided by the core library. 7. **Note on Confirmation (Lag):** Pivot signals are confirmed using a lookback method. A pivot is only plotted *after* the `Pivot Right Bars` input has passed, which introduces an inherent lag. 8. **Multi-Timeframe (MTF) Capability:** - **MTF Correlation Lines:** The correlation lines can be calculated on a higher timeframe, with standard options to handle gaps (`Fill Gaps`) and prevent repainting (`Wait for...`). - **Limitation:** The Pivot detection (`Calculate Pivots`) is **disabled** if a Higher Timeframe (HTF) is selected. 9. **Integrated Alerts:** Includes comprehensive alerts for: - Correlation magnitude (High Positive / High Inverse). - Character changes (Inter-Bar vs. Intra-Bar dominance). - Total Correlation pivot (High/Low) detection. --- **DISCLAIMER** 1. **For Informational/Educational Use Only:** This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. 2. **Use at Your Own Risk:** All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. 3. **No Guarantee of Performance:** Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. 4. **No Liability:** The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. 5. **Signals Are Not Recommendations:** The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Indicador Pine Script®
por AustrianTradingMachine
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals. 🔶 Advanced Dual-Component Momentum Engine Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics. // Core Momentum Framework EMA_Fast = ta.ema(src, Fast_Length) EMA_Slow = ta.ema(src, Slow_Length) Trend = EMA_Fast - EMA_Slow // Volatility Regime Detection ATR_Short = ta.atr(ATR_Length) ATR_Long = ta.atr(ATR_Length * 2) Vol_Ratio = ATR_Short / ATR_Long Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1) // Pressure Component Pressure = (close - open) / (high - low) // Composite Momentum Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight) 🔶 Hyperbolic Tangent Normalization Framework Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion. // Tanh Clamping Logic tanh(x) => x_clamped = clamp(x, -5.0, 5.0) e = exp(2.0 * x_clamped) (e - 1.0) / (e + 1.0) Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale 🔶 Volatility Regime Weighting System Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure. 🔶 Multi-Tiered Band Architecture Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection. 🔶 Pulse Envelope Visualization Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity. 🔶 Signal Line Integration Framework Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts. 🔶 Histogram Divergence Display Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis. 🔶 Advanced Reversion Signal Logic Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions. 🔶 Comprehensive Alert Framework Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation. 🔶 Adaptive Bar Coloring System Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis. 🔶 Performance Optimization Architecture Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis. 🔶 Why Choose Tanh-Clamped Momentum Oscillator ? This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
Indicador Pine Script®
por AlphaExtract
Naked POCThis indicator is designed for precision traders who need to identify Institutional Footprints and Naked POCs (nPOC) without cluttering the chart. It solves the common problem of "too many signals" during trend continuations while preserving critical reversal signals (like high-volume Dojis). 🚀 Key Features 1. Fusion Technology (Global Liquidity View) Unlike standard indicators that only look at your current chart's volume, Fusion aggregates real-time Spot volume from major exchanges (Binance, Coinbase, OKX, Bybit) simultaneously. Why? Futures follow Spot. This reveals the true liquidity wall across the entire market, filtering out fake pump/dump moves on a single derivative exchange. Supports BTC & ETH pairs automatically. 2. Peak Hunter Algorithm (Smart Noise Filtering) This is the core upgrade. Instead of marking every high-volume candle (which creates a mess during waterfalls/rallies), the Peak Hunter logic only marks a level if: The volume is a Local Peak (higher than the past $N$ candles). Result: It ignores "follow-through" candles in a trend but perfectly captures the Start (Ignition) and the End (Stopping Volume / Doji) of a move. 3. Micro-Structure POC (The "Microscope") When a 30m or 4H candle triggers a signal, where exactly is the support? This script scans the internal 1-minute or 15-second data (Lower Timeframe) inside that candle to find the exact price level with the highest volume. Note: 15s scanning requires a Premium plan; 1m works for all. 4. Smart Lifecycle Management nPOC Lines: Support/Resistance lines extend automatically until price tests them. Touch Limit: Once price touches a line $X$ times (configurable), the line "dies" and becomes dotted/expired, keeping your chart clean.
Indicador Pine Script®
por HuskyChaosBTC
HawkDoveScoreLibLibrary "HawkDoveScoreLib" hds_score(sym2y, sym10y, symBE10, symBS, symFCI, tfMacro, lenTrend, lenNorm, smoothScore, useRatePath, useCurve, useRealYield, useBalanceSh, useStressFCI, wRatePath, wCurve, wRealYield, wBS, wStress)   Parameters:      sym2y (string)      sym10y (string)      symBE10 (string)      symBS (string)      symFCI (string)      tfMacro (string)      lenTrend (int)      lenNorm (int)      smoothScore (simple int)      useRatePath (bool)      useCurve (bool)      useRealYield (bool)      useBalanceSh (bool)      useStressFCI (bool)      wRatePath (float)      wCurve (float)      wRealYield (float)      wBS (float)      wStress (float) hds_regime(score, thrDove, thrHawk)   Parameters:      score (float)      thrDove (int)      thrHawk (int) hds_regime_label(score, thrDove, thrHawk)   Parameters:      score (float)      thrDove (int)      thrHawk (int)
Biblioteca Pine Script®
por tychester
All Candlestick Patterns [theEccentricTrader]█   OVERVIEW This indicator automatically draws and sends alerts for all of the candlestick patterns in my public library as they occur. Patterns included in this script are listed below, with their conventional classifications (in brackets) for reference only: Doji (Neutral) Bullish Marubozu (Bullish Continuation) Bearish Marubozu (Bearish Continuation) Spinning Top (Neutral) Bullish Belt-Hold Line (Bullish Reversal) Bearish Belt-Hold Line (Bearish Reversal) Bullish Breakaway (Bullish Reversal) Bearish Breakaway (Bearish Reversal) Concealing Baby Swallow (Bullish Reversal) Bullish Counterattack (Bullish Reversal) Bearish Counterattack (Bearish Reversal) Dark Cloud Cover (Bearish Reversal) Long-Legged Doji (Neutral) Southern Doji (Bullish Reversal) Northern Doji (Bearish Reversal) Dumpling Top (Bearish Reversal) Bullish Engulfing (Bullish Reversal) Bearish Engulfing (Bearish Reversal) Frypan Bottom (Bullish Reversal) Hammer (Bullish Reversal) Hanging Man (Bearish Reversal) Bullish Harami (Bullish Reversal) Bearish Harami (Bearish Reversal) Bullish Harami Cross (Bullish Reversal) Bearish Harami Cross (Bearish Reversal) High-Wave (Neutral) Bullish Hikkake (Bullish Reversal) Bearish Hikkake (Bearish Reversal) Homing Pigeon (Bullish Reversal) In-Neck (Bullish Reversal) Bullish Kicking (Bullish Reversal) Bearish Kicking (Bearish Reversal) Matching Low (Bullish Reversal) On-Neck (Bullish Reversal) Piercing (Bullish Reversal) Bullish Separating Lines (Bullish Continuation) Bearish Separating Lines (Bearish Continuation) Upgap Side-by-Side White Lines (Bullish Continuation) Downgap Side-by-Side White Lines (Bearish Continuation) Stalled Pattern (Neutral) Bullish Star (Bullish Reversal) Bearish Star (Bearish Reversal) Bullish Doji Star (Bullish Reversal) Bearish Doji Star (Bearish Reversal) Morning Star (Bullish Reversal) Evening Star (Bearish Reversal) Morning Doji Star (Bullish Reversal) Evening Doji Star (Bearish Reversal) Abandoned Baby Bottom (Bullish Reversal) Abandoned Baby Top (Bearish Reversal) Inverted Hammer (Bullish Reversal) Shooting Star (Bearish Reversal) Dragonfly Doji (Bullish Reversal) Gravestone Doji (Bearish Reversal) Stick Sandwich (Bullish Reversal) Upward Gapping Tasuki (Bullish Continuation) Downward Gapping Tasuki (Bearish Continuation) Three Black Crows (Bearish Reversal) Advance Block (Neutral) Three Advancing White Soldiers (Bullish Reversal) Bullish Three-Line Strike (Bullish Continuation) Bearish Three-Line Strike (Bearish Continuation) Rising Three Methods (Bullish Continuation) Falling Three Methods (Bearish Continuation) Three Stars in the South (Bullish Reversal) Thrusting (Bullish Reversal) Tower Bottom (Bullish Reversal) Tower Top (Bearish Reversal) Tri-Star Bottom (Bullish Reversal) Tri-Star Top (Bearish Reversal) Tweezer Bottom (Bullish Reversal) Tweezer Top (Bearish Reversal) Upside-Gap Two Crows (Bearish Reversal) █   CONCEPTS Candlestick Patterns Candlestick charts originated in Japan and were developed as a way of recording and interpreting price movement in actively traded markets. Rather than focusing only on where price closed, candlesticks preserve information about the range of trading during a given period, showing where prices opened, how far they moved, where they were rejected and where they ultimately settled. In this sense, each candlestick is a compact record of the interaction between buyers and sellers over time. At a basic level, markets move through a sequence of swing highs and swing lows as supply and demand fluctuates. Candlesticks are the smallest visible components of this process. The size of the candle body reflects the degree of control exercised by buyers or sellers, while the presence and length of wicks reflect rejection, hesitation or absorption of opposing orders. When similar behaviours repeat in similar locations, recognisable patterns emerge. Candlestick patterns therefore do not represent fixed signals, but recurring expressions of market psychology. They capture moments where initiative changes hands, where momentum pauses or where one side fails to follow through. A pattern that appears during a strong trend may simply reflect temporary consolidation, while the same pattern forming at an extreme or after prolonged movement may indicate exhaustion or transition. Context is always decisive. Over time, traders have assigned names and classifications to many of these recurring formations. However, these classifications are not universal or permanent. Patterns that were historically described as reversals are sometimes better understood as continuation structures and patterns labelled as bullish or bearish can have very different implications depending on market, timeframe, volatility and surrounding structure. As with all forms of price analysis, interpretation matters more than memorisation. Candlestick patterns should therefore be viewed as descriptive tools rather than predictive rules. They provide insight into how price reached its current state and how supply and demand interacted along the way. Their usefulness lies in how they are combined with broader market structure, risk management and independent testing, not in the assumption that any single pattern guarantees a particular outcome. █   INPUTS Change label colours and size. Set alerts for individual patterns. █   SOURCES Homma, M. (c. 1755) The Fountain of Gold: The Three Monkey Record of Money. Attributed Japanese trading manuscript. Modern English translation (Apple Books). Nison, S. (2001) Japanese Candlestick Charting Techniques (2nd edn). New York: New York Institute of Finance. Bulkowski, T. N. (2008) Encyclopedia of Candlestick Charts. Hoboken, New Jersey: John Wiley & Sons.
Indicador Pine Script®
por theEccentricTrader