Smart Money Liquidity Heatmap [AlgoAlpha]🌟📈 Introducing the Smart Money Liquidity Heatmap by AlgoAlpha! 🗺️🚀
Dive into the depths of market liquidity with our innovative Pine Script™ indicator designed to illuminate the trading actions of smart money! This meticulously crafted tool provides an enhanced visualization of liquidity flow, highlighting the dynamics between smart and retail investors directly on your chart! 🌐🔍
🙌 Key Features of the Smart Money Liquidity Heatmap:
🖼️ Visual Clarity: Uses vibrant heatmap colors to represent liquidity concentrations, making it easier to spot significant trading zones.
🔧 Customizable Settings: Adjust index periods, volume flow periods, and more to tailor the heatmap to your trading strategy.
📊 Dynamic Ratios: Computes the ratio of smart money to retail trading activity, providing insights into who is driving market movements.
👓 Transparency Options: Modify color intensity for better visibility against various chart backgrounds.
🛠 How to Use the Smart Money Liquidity Heatmap:
1️⃣ Add the Indicator:
Add the indicator to favourites. Customize settings to align with your trading preferences, including periods for index calculation and volume flow.
2️⃣ Market Analysis:
Monitor the heatmap for high liquidity zones signalled by the heatmap. These are potential areas where smart money is actively engaging, providing crucial insights into market dynamics.
Basic Logic Behind the Indicator:
The Smart Money Liquidity Heatmap utilizes the Smart Money Interest Index Indicator and operates by differentiating between the trading behaviors of informed (smart money) and less-informed (retail) traders. It calculates the differences between specific volume indices—Positive Volume Index (PVI) for retail investors and Negative Volume Index (NVI) for institutional players—and their respective moving averages, highlighting these differences using the Relative Strength Index (RSI) over user-specified periods. This calculation generates a ratio that is then normalized and compared against a threshold to identify areas of high institutional trading interest, visually representing these zones on your chart as vibrant heatmaps. This enables traders to visually identify where significant trading activities among smart money are occurring, potentially signalling important buying or selling opportunities.
🎉 Elevate your trading experience with precision, insight, and clarity by integrating the Smart Money Liquidity Heatmap into your toolkit today!
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Rolling Point of Control (POC) [AlgoAlpha]Enhance your trading decisions with the Rolling Point of Control (POC) Indicator designed by AlgoAlpha! This powerful tool displays a dynamic Point of Control based on volume or price profiles directly on your chart, providing a vivid depiction of dominant price levels according to historical data. 🌟📈
🚀 Key Features:
Profile Type Selection: Choose between Volume Profile and Price Profile to best suit your analysis needs.
Adjustable Lookback Period: Modify the lookback period to consider more or less historical data for your profile.
Customizable Resolution and Scale: Tailor the resolution and horizontal scale of the profile for precision and clarity.
Trend Analysis Tools: Enable trend analysis with the option to display a weighted moving average of the POC.
Color-Coded Feedback: Utilize color gradients to quickly identify bullish and bearish conditions relative to the POC.
Interactive Visuals: Dynamic rendering of profiles and alerts for crossing events enhances visual feedback and responsiveness.
Multiple Customization Options: Smooth the POC line, toggle profile and fill visibility, and choose custom colors for various elements.
🖥️ How to Use:
🛠 Add the Indicator:
Add the indicator to favorites and customize settings like profile type, lookback period, and resolution to fit your trading style.
📊 Market Analysis:
Monitor the POC line for significant price levels. Use the histogram to understand price distributions and locate major market pivots.
🔔 Alerts Setup:
Enable alerts for price crossing over or under the POC, as well as for trend changes, to stay ahead of market movements without constant chart monitoring.
🛠️ How It Works:
The Rolling POC indicator dynamically calculates the Point of Control either based on volume or price within a user-defined lookback period. It plots a histogram (profile) that highlights the level at which the most trading activity has occurred, helping to identify key support and resistance levels.
Basic Logic Overview:
- Data Compilation: Gathers high, low, and volume (if volume profile selected) data within the lookback period.
- Histogram Calculation: Divides the price range into bins (as specified by resolution), counting hits in each bin to find the most frequented price level.
- POC Identification: The price level with the highest concentration of hits (or volume) is marked as the POC.
- Trend MA (Optional): If enabled, the indicator plots a moving average of the POC for trend analysis.
By integrating the Rolling Point of Control into your charting toolkit, you can significantly enhance your market analysis and potentially increase the accuracy of your trading decisions. Whether you're day trading or looking at longer time frames, this indicator offers a detailed, customizable perspective on market dynamics. 🌍💹
Liquidation Levels with Liquidity Sweeps/Breakouts [AlgoAlpha]🌊📈 Dive into the depths of market liquidity with "Liquidation Levels with Liquidity Sweeps/Breakouts" - your ultimate tool for navigating the turbulent waters of trading! 🧹💹 Crafted by the wizards at AlgoAlpha, this Pine Script™ masterpiece illuminates the unseen liquidity levels and sweeps, guiding you through the financial seas with insight. 🚀🔍
Key Features:
🕒 Timeframe Flexibility: Customize your analysis with a TimeFrame Multiplier, allowing the indicator to operate on higher timeframes for broader market insight.
💥 Dynamic Volume Threshold: Set your sensitivity to breakouts with the High Volume Threshold, ensuring you catch significant market movements while avoiding fakeouts.
👀 Visibility Controls: Toggle the display of swept liquidity and highlight liquidity breakouts with customizable background colors for clear, actionable insights.
🎨 Custom Appearance: Personalize your chart with bullish, bearish, and breakout colors to match your trading style.
How to Use the Liquidity Levels with Liquidation Sweeps Indicator:
Maximize your trading efficiency with the Liquidity Levels with Liquidation Sweeps Indicator by following these simple steps! 🚀🌟
⚙️ Customize Settings: Access the indicator settings to personalize the TimeFrame Multiplier, High Volume Threshold, and Relative Volume Period. Tailor these settings to match your trading strategy and chart preferences.
👁️ Analyze Liquidity Levels: Monitor the chart for liquidity levels and sweeps. Bullish sweeps are marked with green labels, bearish sweeps with red, and breakouts highlighted by the chart background.
🔔 Set Alerts: Enable alert conditions for liquidity breakouts and sweeps within the indicator's settings. This feature allows you to receive real-time notifications, helping you to act promptly on trading opportunities.
How It Works:
The heart of this indicator lies in its ability to track and highlight liquidity levels derived from swing pivots, and sweeps across multiple timeframes. By calculating relative volume against a user-defined threshold, it identifies strong volume movements indicative of liquidity breakouts, this helps filter out fake-outs. When a liquidity level is breached but not completely mitigated, it's either marked as a bullish or bearish sweep, which come with the option to show an estimate of the number of liquidations during the sweep.
if peakform and peakprinted != 1
aR.push(line.new(bar_index-mult, h.get(1), bar_index+1, h.get(1), color = red))
aRv.push(h.get(1))
peakprinted := 1
if valleyform and valleyprinted != 1
aS.push(line.new(bar_index-mult, l.get(1), bar_index+1, l.get(1), color = green))
aSv.push(l.get(1))
valleyprinted := 1
Reversal and Breakout Signals [AlgoAlpha]🚀🌟 Introducing the Reversal and Breakout Signals by AlgoAlpha 🌟🚀
This innovative tool is crafted to enhance your chart analysis by identifying potential reversal and breakout opportunities directly on your charts. It's designed with both novice and experienced traders in mind, providing intuitive visual cues for better decision-making. Let's dive into the key features and how it operates:
### Key Features:
🔶 Dynamic Period Settings: Customize the sensitivity of the indicator with user-defined periods for both the indicator and volume strength.
📊 Volume Threshold: Set a threshold to define what constitutes strong volume, enabling the identification of significant market movements.
💡 Trend Coloring: Option to color candles during trends, making it easier to visualize bullish and bearish market conditions.
🌈 Customizable Visuals: Choose your preferred colors for bullish, bearish, and breakout signals, personalizing the chart to your liking.
🚨 Advanced Alert System: Configure alerts for reversal and breakout signals, ensuring you never miss a potential trading opportunity.
### How to Use:
To maximize the effectiveness of the Reversal and Breakout Signals tool, follow these steps:
1. 🔧 Set Up Your Preferences:
- Adjust the Indicator Period and Volume Strength Period to match the timeframe of your trading strategy. This fine-tuning allows the indicator to better align with your specific market analysis needs.
- Define the Strong Volume Threshold to distinguish between ordinary and significant volume movements. This helps in identifying breakout or reversal signals with higher confidence.
2. 🎨 Customize Visuals:
- Choose colors for Bullish , Bearish , and Breakout Signals to visually differentiate between different types of market activities. This customization facilitates quicker decision-making while scanning charts.
3. 🔍 Reversal Signals:
- Bullish Reversal : Look for a triangle below the bar indicating a potential upward movement. It's identified when the price dips below the lower level but closes above it, suggesting a rejection of lower prices.
- Bearish Reversal : A triangle above the bar signals a potential downward movement. This occurs when the price spikes above the upper level but closes below, indicating a rejection of higher prices.
4. 📈 Trend and Breakout Signals:
- Diamonds represent breakout signals. A bullish breakout is marked below the bar when the price closes above the upper level, suggesting strong buying pressure. Conversely, a bearish breakout above the bar indicates strong selling pressure as the price closes below the lower level.
- The tool also features a Trend Tracker that highlights the current market trend using the Hull Moving Average (HMA). This can help you stay aligned with the overall market direction for your trades.
By integrating these steps into your trading strategy, the Reversal and Breakout Signals tool can provide actionable insights to help identify potential entry and exit points, enhancing your trading decisions with visual cues and alerts for market reversals and breakouts.
### How It Works:
The core logic revolves around calculating weighted moving averages of high and low prices over a user-defined period, identifying the highest and lowest points within this period to establish potential breakout or breakdown levels while reducing the amount of noise, hence the use of moving averages.
1. Weighted Moving Averages Calculation:
sh = ta.wma(high, len)
sl = ta.wma(low, len)
h = ta.highest(sh, len)
l = ta.lowest(sl, len)
2. Breakout and Reversal Detection:
The script then employs logic to detect bullish and bearish breakouts and reversals based on the closing price's position relative to these levels, combined with volume analysis to confirm the strength of the move.
if not (h < h or h > h )
hstore := h
if not (l < l or l > l )
lstore := l
bullishbreakout := (breakout or ((breakout or breakout or breakout or breakout ) and candledir == 1)) and strongvol and not (bullishbreakout or bullishbreakout or bullishbreakout )
bearishbreakout := (breakdown or ((breakdown or breakdown or breakdown or breakdown ) and candledir == -1)) and strongvol and not (bearishbreakout or bearishbreakout or bearishbreakout )
3. Visual Indicators and Alerts:
Visual cues such as triangle shapes for reversals and diamonds for breakouts, along with colored bars, make it easy to spot these opportunities. Additionally, alerts can be set up for these events, ensuring traders can react promptly to potential trading setups.
plotshape(bullishrej and not (state ==- 1) ? low * 0.9995 : na, " Bullish Reversal ", shape.triangleup, location.belowbar, color.new(green, 0), size = size.tiny, text = "𝓡", textcolor = color.gray)
plotshape(bearishrej and not (state == 1) ? high * 1.0005 : na, " Bearish Reversal ", shape.triangledown, location.abovebar, color.new(red, 0), size = size.tiny, text = "𝓡", textcolor = color.gray)
plotshape(bullishbreakout ? low * 0.999 : na, " Bullish Breakout ", shape.diamond, location.belowbar, color.new(yellow, 0), size = size.tiny, text = "𝓑", textcolor = color.gray)
plotshape(bearishbreakout ? high * 1.001 : na, " Bearish Breakout ", shape.diamond, location.abovebar, color.new(yellow, 0), size = size.tiny, text = "𝓑", textcolor = color.gray)
This script is a versatile tool designed to aid in the identification of key reversal and breakout points, helping traders to make informed decisions based on technical analysis. Its customization options allow for a tailored analysis experience, fitting the unique needs and strategies of each trader.
Standardized Orderflow [AlgoAlpha]Introducing the Standardized Orderflow indicator by AlgoAlpha. This innovative tool is designed to enhance your trading strategy by providing a detailed analysis of order flow and velocity. Perfect for traders who seek a deeper insight into market dynamics, it's packed with features that cater to various trading styles. 🚀📊
Key Features:
📈 Order Flow Analysis: At its core, the indicator analyzes order flow, distinguishing between bullish and bearish volume within a specified period. It uses a unique standard deviation calculation for normalization, offering a clear view of market sentiment.
🔄 Smoothing Options: Users can opt for a smoothed representation of order flow, using a Hull Moving Average (HMA) for a more refined analysis.
🌪️ Velocity Tracking: The indicator tracks the velocity of order flow changes, providing insights into the market's momentum.
🎨 Customizable Display: Tailor the display mode to focus on either order flow, order velocity, or both, depending on your analysis needs.
🔔 Alerts for Critical Events: Set up alerts for crucial market events like crossover/crossunder of the zero line and overbought/oversold conditions.
How to Use:
1. Setup: Easily configure the indicator to match your trading strategy with customizable input parameters such as order flow period, smoothing length, and moving average types.
2. Interpretation: Watch for bullish and bearish columns in the order flow chart, utilize the Heiken Ashi RSI candle calculation, and look our for reversal notations for additional market insights.
3. Alerts: Stay informed with real-time alerts for key market events.
Code Explanation:
- Order Flow Calculation:
The core of the indicator is the calculation of order flow, which is the sum of volumes for bullish or bearish price movements. This is followed by normalization using standard deviation.
orderFlow = math.sum(close > close ? volume : (close < close ? -volume : 0), orderFlowWindow)
orderFlow := useSmoothing ? ta.hma(orderFlow, smoothingLength) : orderFlow
stdDev = ta.stdev(orderFlow, 45) * 1
normalizedOrderFlow = orderFlow/(stdDev + stdDev)
- Velocity Calculation:
The velocity of order flow changes is calculated using moving averages, providing a dynamic view of market momentum.
velocityDiff = ma((normalizedOrderFlow - ma(normalizedOrderFlow, velocitySignalLength, maTypeInput)) * 10, velocityCalcLength, maTypeInput)
- Display Options:
Users can choose their preferred display mode, focusing on either order flow, order velocity, or both.
orderFlowDisplayCond = displayMode != "Order Velocity" ? display.all : display.none
wideDisplayCond = displayMode != "Order Flow" ? display.all : display.none
- Reversal Indicators and Divergences:
The indicator also includes plots for potential bullish and bearish reversals, as well as regular and hidden divergences, adding depth to your market analysis.
bullishReversalCond = reversalType == "Order Flow" ? ta.crossover(normalizedOrderFlow, -1.5) : (reversalType == "Order Velocity" ? ta.crossover(velocityDiff, -4) : (ta.crossover(velocityDiff, -4) or ta.crossover(normalizedOrderFlow, -1.5)) )
bearishReversalCond = reversalType == "Order Flow" ? ta.crossunder(normalizedOrderFlow, 1.5) : (reversalType == "Order Velocity" ? ta.crossunder(velocityDiff, 4) : (ta.crossunder(velocityDiff, 4) or ta.crossunder(normalizedOrderFlow, 1.5)) )
In summary, the Standardized Orderflow indicator by AlgoAlpha is a versatile tool for traders aiming to enhance their market analysis. Whether you're focused on short-term momentum or long-term trends, this indicator provides valuable insights into market dynamics. 🌟📉📈
BTC Supply in Profits and Losses (BTCSPL) [AlgoAlpha]Description:
🚨The BTC Supply in Profits and Losses (BTCSPL) indicator, developed by AlgoAlpha, offers traders insights into the distribution of INDEX:BTCUSD addresses between profits and losses based on INDEX:BTCUSD on-chain data.
Features:
🔶Alpha Decay Adjustment: The indicator provides the option to adjust the data against Alpha Decay, this compensates for the reduction in clarity of the signal over time.
🔶Rolling Change Display: The indicator enables the display of the rolling change in the distribution of Bitcoin addresses between profits and losses, aiding in identifying shifts in market sentiment.
🔶BTCSPL Value Score: The indicator optionally displays a value score ranging from -1 to 1, traders can use this to carry out strategic dollar cost averaging and reverse dollar cost averaging based on the implied value of bitcoin.
🔶Reversal Signals: The indicator gives long-term reversal signals denoted as "▲" and "▼" for the price of bitcoin based on oversold and overbought conditions of the BTCSPL.
🔶Moving Average Visualization: Traders can choose to display a moving average line, allowing for better trend identification.
How to Use ☝️ (summary):
Alpha Decay Adjustment: Toggle this option to enable or disable Alpha Decay adjustment for a normalized representation of the data.
Moving Average: Toggle this option to show or hide the moving average line, helping traders identify trends.
Short-Term Trend: Enable this option to display the short-term trend based on the Aroon indicator.
Rolling Change: Choose this option to visualize the rolling change in the distribution between profits and losses.
BTCSPL Value Score: Activate this option to show the BTCSPL value score, ranging from -1 to 1, 1 implies that bitcoin is extremely cheap(buy) and -1 implies bitcoin is extremely expensive(sell).
Reversal Signals: Gives binary buy and sell signals for the long term
Amazing Oscillator (AO) [Algoalpha]Description:
Introducing the Amazing Oscillator indicator by Algoalpha, a versatile tool designed to help traders identify potential trend shifts and market turning points. This indicator combines the power of the Awesome Oscillator (AO) and the Relative Strength Index (RSI) to create a new indicator that provides valuable insights into market momentum and potential trade opportunities.
Key Features:
Customizable Parameters: The indicator allows you to customize the period of the RSI calculations to fine-tune the indicator's responsiveness.
Visual Clarity: The indicator uses user-defined colors to visually represent upward and downward movements. You can select your preferred colors for both bullish and bearish signals, making it easy to spot potential trade setups.
AO and RSI Integration: The script combines the AO and RSI indicators to provide a comprehensive view of market conditions. The RSI is applied to the AO, which results in a standardized as well as a less noisy version of the Awesome Oscillator. This makes the indicator capable of pointing out overbought or oversold conditions as well as giving fewer false signals
Signal Plots: The indicator plots key levels on the chart, including the RSI threshold(Shifted down by 50) at 30 and -30. These levels are often used by traders to identify potential trend reversal points.
Signal Alerts: For added convenience, the indicator includes "x" markers to signal potential buy (green "x") and sell (red "x") opportunities based on RSI crossovers with the -30 and 30 levels. These alerts can help traders quickly identify potential entry and exit points.
Algo Trader Intraday ToolAlgo Trader Intraday Tool is a script that detects the trend and determines entry into the market based on price action / strength. To detect the trend, the volatility metric is used and is based on 2 standard deviations, one fast and one slow. The value of the fast standard deviations, will allow the indicator to be closer to the price, else the metric will be closer to the slow standard deviation which helps the indicator from changing trend and giving the expected results.
Additionally the tool is designed to monitor the strength of the market using more than 5 built-in indicators and thus making a firm alert for BUY and Sell. Also clients will get an option to customize Four EMA to re-check the quality of alerts generated by this tool.
Since the tool is designed for Intraday, Every start of the day is marked with a vertical violet line, which makes it easier to check the past performance of this tool.
Algo Trader Intraday Tool is designed and tested for Indian stock market (NSE, BSE and MCX ).
Tool is designed to use for Intraday trading only. 3 or 5 mins time frame charts are recommended to use.
Use the instruction below to obtain access to this indicator
Algoritmictrader2025 ALGO System profitability works with a minimum profit margin of 75% and the maximum profit margin per share is around 95%. The software costs $150 per month.
Algorithmic Candle Finder {Darkoexe}Algorithmic Candle Finder Indicator
Algorithmic candles are candles whose size and direction are significantly influenced by institutions or large players using market algorithms. These entities can move large amounts of capital in or out of the market, creating price moves that are often difficult for retail traders to predict or react to.
This can make short-term retail trading risky and inconsistent, especially when unaware of such institutional activity. The goal of this indicator is to help identify such candles, allowing traders to avoid trading during times of potential algorithmic influence.
Detection Criteria:
A candle is marked as algorithmic if either of the following conditions are met:
Size-Based Detection: If the current candle’s size exceeds the Average True Range (ATR) of the previous candle multiplied by the ATR factor input.
Volume-Based Detection: If the current candle’s volume exceeds the average volume of recent candles (e.g., last N candles) multiplied by the volume factor input.
When a candle is deemed algorithmic, a label saying "Algo!!!!!" will appear on the chart above the candle where the condition occurred.
Usage:
Use this indicator to study which times of day algorithmic candles frequently appear. This can help you adjust your strategy to avoid trading during these unpredictable moments.
Analogy:
Think of the market like the game Agar.io: small players (retail traders) collect small pellets to grow, while larger players (institutions) devour smaller ones. The small players must avoid the big ones to survive. Likewise, in trading, retail traders should aim to avoid high-impact algorithmic activity that could “consume” their trades.
Algo Trader RSI 3/80/20 StrategyThis script is based one a simple , yet very powerful strategy.
Script monitors the candle bar formation and RSI indicator (3/80/20).
15 minutes time frame to be used for better result.
Buy call is triggered when the following conditions are met:
1. Two Bullish Candles one after another.
2. Latest close is higher than previous candle high.
3. Latest RSI value is higher than 80.
SELL call is triggered when the following conditions are met:
1. Two Bearish Candles one after another.
2. Latest close is lower than previous candle low.
3. Latest RSI value is lower than 20.
** When the candles formed are too weak or too strong, such formations are avoided.
Stop Loss will be triggered as follow:
BUY - Stop Loss will be previous candle LOW.
SELL - Stop Loss will be previous candle HIGH.
This strategy is expected to give a winning ratio of 1:2 or 1:1.5.
However BUY or SELL call to be avoided, if the stock is already shifted too much to its direction.
This tool is created and tested for INDIAN Share market (NSE,BSE,MCX).
ICT Kill Zones [dR-Algo]ICT Kill Zones Indicator by dR-Algo
Introducing the dR-Algo's ICT Kill Zones Indicator – a tool meticulously crafted to blend with the elegance of the ICT Concept of Kill Zones. Built for traders who seek clarity and focus, this unique indicator is tailored to highlight the essential time frames while ensuring minimal distraction from the core price action.
Key Features:
Three Kill Zones:
London Kill Zone: Kickstart your trading day with the London Kill Zone, highlighting the critical period between 03:00 to 04:00 (UTC-4). The London session, known for its volatility due to the overlapping of the Asian session, is captured precisely for your benefit.
NY AM Session: As the European markets gear towards close and the US markets come alive, our indicator emphasizes the activity from 10:00 to 11:00 (UTC-4). It’s a window where significant market moves often originate.
NY PM Session: Capture the late-day trading action between 14:00 to 15:00 (UTC-4). As markets prepare to close, this time frame can offer last-minute opportunities.
Subtle Yet Effective Visualization: Unlike many other indicators that bombard traders with an array of colors, our ICT Kill Zones Indicator is intentionally designed to be subtle. It provides just the right amount of visual emphasis without overwhelming the chart. The primary goal is to let traders focus on what truly matters: the price action.
User-Friendly Customization: The indicator's settings can be easily tailored to align with individual trading styles, allowing traders to adjust and tweak as per their preference.
Seamless Integration with Trading View: Smoothly integrates with your TradingView charts ensuring optimal performance and real-time responsiveness.
Why Choose Our ICT Kill Zones Indicator?
The market is flooded with indicators, each promising to be the 'next big thing.' What sets dR-Algo's ICT Kill Zones Indicator apart is its dedication to simplicity and effectiveness. It's not just about adding an indicator to your chart; it's about adding value to your trading experience. By seamlessly merging vital time frames without overshadowing the price action, we ensure traders get the best of both worlds.
Join the trading revolution with dR-Algo and embrace a focused approach to the markets.
Santa's Adventure [AlgoAlpha]Introducing "Santa's Adventure," a unique and festive TradingView indicator designed to bring the holiday spirit to your trading charts. With this indicator, watch as Santa, his sleigh, Rudolf the reindeer, and a flurry of snowflakes come to life, creating a cheerful visual experience while you monitor the markets.
Key Features:
🎁 Dynamic Santa Sleigh Visualization : Santa's sleigh, Rudolf, and holiday presents adapt to price movements and chart structure.
🎨 Customizable Holiday Colors : Adjust colors for Santa’s outfit, Rudolf’s nose, sleigh, presents, and more.
❄️ Realistic Snow Animation : A cascade of snowflakes decorates your charts, with density and range adjustable to suit your preferences.
📏 Adaptive Scaling : All visuals scale based on price volatility and market dynamics.
🔄 Rotation by Trend : Santa and his entourage tilt to reflect market trends, making it both functional and fun!
How to Use :
Add the Indicator to Your Chart : Search for "Santa's Adventure" in the TradingView indicator library and add it to your favorites. Use the input menu to adjust snow density, sleigh colors, and other festive elements to match your trading style or holiday mood.
Observe the Market : Watch Santa’s sleigh glide across the chart while Rudolf leads the way, with snowflakes gently falling to enhance the visual charm.
How It Works :
The indicator uses price volatility and market data to dynamically position Santa, his sleigh, Rudolf, and presents on the chart. Santa's Sleigh angle adjusts based on price trends, reflecting market direction. Santa's sleigh and the snowstorm are plotted using advanced polyline arrays for a smooth and interactive display. A festive algorithm powers the snowfall animation, ensuring a consistent and immersive holiday atmosphere. The visuals are built to adapt seamlessly to any market environment, combining holiday cheer with market insights.
Add "Santa's Adventure" to your TradingView charts today and bring the holiday spirit to your trading journey, Merry Christmas! 🎅🎄
Change in State of Delivery CISD [AlgoAlpha]🟠 OVERVIEW
This script tracks how price “changes delivery” after failed attempts to push in one direction. It builds swing levels from pivots, watches for those levels to be wicked, and then checks if price delivers cleanly in the opposite direction. When the pattern meets the script’s tolerance rules, it marks a Change in State of Delivery (CISD). These CISD levels are drawn as origin lines and are used to spot shifts in intent, failed pushes, and continuation attempts. A CISD becomes stronger when it forms after opposing liquidity is swept within a defined lookback.
🟠 CONCEPTS
The script first defines structure using swing highs/lows. These levels act as potential liquidity points. When price wicks through a swing, the script registers a mitigation event. After this, it looks for a reversal-style candle sequence: a failed push, followed by a counter-move strong enough to pass a tolerance ratio. This ratio compares how far price expanded away from the failed attempt versus the counter-move that followed. If the ratio is high enough, this becomes a CISD. The idea is simple: liquidity interaction sets context , and the tolerance logic identifies actual intent . CISD levels and sweep markers combine these two ideas into a clean map of where delivery flipped.
🟠 FEATURES
Liquidity tracking: marks swing highs/lows and updates them until expiry
Liquidity sweep confirmation when CISD aligns with recent mitigations
Alert conditions for all key events: mitigations, CISDs, and strong CISDs
🟠 USAGE
Setup : Add the script to your chart. Use it on any timeframe where swing behavior matters. Set the Swing Period for how wide a pivot must be. Set Noise Filter to control how strict the CISD detection is. Liquidity Lookback defines how recent a wick must be to confirm a sweep.
Read the chart : Origin lines mark where the CISD began. A green line signals bullish intent; a red line signals bearish intent. ▲ and ▼ shapes show CISDs that form after liquidity is swept, these mark strong signals for potential entry. Swing dots show recent swing highs/lows. Candle colors follow the latest CISD trend.
Settings that matter : Increasing Swing Period produces fewer but stronger swings. Raising Noise Filter requires cleaner counter-moves and reduces false CISDs. Liquidity Lookback controls how strict the sweep confirmation is. Expiry Bars decides how long swing levels remain active.
Screener (MC) [AlgoAlpha]🟠 OVERVIEW
This script is a multi-symbol scanner that works as a companion to the "Momentum Concepts" indicator. It provides a comprehensive dashboard view, allowing traders to monitor the momentum signals of up to 18 different assets in real-time from a single chart. The main purpose is to offer a bird's-eye view of the market, helping you quickly identify assets with strong momentum confluence or potential reversal opportunities without having to switch between different charts.
The screener displays the status of all key components from the Momentum Concepts indicator, including the Fast Oscillator, Scalper's Momentum, Momentum Impulse Oscillator, and Hidden Liquidity Flow, organizing them into a clear and easy-to-read table.
🟠 CONCEPTS
The core of this screener is built upon the analytical framework of the "Momentum Concepts" indicator, which evaluates market momentum across multiple layers: short-term, medium-term, and long-term. This screener applies those complex, proprietary calculations to each symbol in your watchlist and visualizes the current state of each component.
Each column in the table represents a specific aspect of momentum analysis:
Fast Oscillator Columns: These columns reflect the short-term momentum. They show the immediate trend direction, whether the asset is in an overbought or oversold condition, and flag high-probability events like divergences, reversals, or diminishing momentum.
Scalper's Momentum Column: This column gives insight into medium-term momentum. It distinguishes between strong, sustained moves and weakening, corrective moves, which is useful for gauging the health of a trend.
Momentum Impulse Column: This column represents the dominant, long-term trend bias. It helps you understand the underlying market regime (bullish, bearish, or consolidating) to align your trades with the bigger picture.
Hidden Liquidity Flow Column: This column provides a unique view into the market's underlying liquidity dynamics. It signals whether there is net buying or selling pressure and uses special coloring to highlight periods of unusually high liquidity activity, which often precedes volatile price movements.
By combining these perspectives, the screener justifies its utility by enabling traders to make more informed decisions based on multi-layered signal confluence.
🟠 FEATURES
This screener organizes momentum data into several key columns. Here is a breakdown of each column and its possible values:
Asset: Displays the symbol for the asset being analyzed in that row.
Fast Oscillator Trend: Shows the immediate, short-term momentum direction.
▲: Indicates a bullish short-term trend.
▼: Indicates a bearish short-term trend.
–: Indicates a neutral or transitional state.
Fast Oscillator Valuation: Measures whether the asset is in a short-term overbought or oversold state.
OB: Signals an "Overbought" condition, often associated with bullish exhaustion.
OS: Signals an "Oversold" condition, often associated with bearish exhaustion.
Neutral: The asset is trading in a neutral zone, neither overbought nor oversold.
Scalper's Momentum: Assesses the strength and direction of medium-term momentum.
Strong▲: Strong bullish momentum.
Weak▲: Bullish momentum exists but is weakening or corrective.
Strong▼: Strong bearish momentum.
Weak▼: Bearish momentum exists but is weakening or corrective.
–: Neutral or no clear medium-term momentum.
Momentum Impulse: Identifies the dominant, long-term trend bias. A colored background indicates that the momentum is in a strong "impulse" phase.
▲: Indicates a bullish long-term bias.
▼: Indicates a bearish long-term bias.
0: Indicates a neutral or ranging market condition.
Hidden Liquidity Flow: Tracks underlying buying and selling pressure. The background color highlights periods of unusual liquidity activity.
▲: Positive liquidity flow, suggesting net buying pressure.
▼: Negative liquidity flow, suggesting net selling pressure.
–: Neutral liquidity flow.
Dim. Momentum: Provides an early warning that short-term momentum is beginning to fade.
● (Bullish Color): Bullish momentum is weakening.
● (Bearish Color): Bearish momentum is weakening.
–: No diminishing momentum detected.
Divergence: Flags classic or hidden divergences between price and the Fast Oscillator.
Div▲: A bullish divergence has been detected.
Div▼: A bearish divergence has been detected.
–: No active divergence signal.
Reversal: Signals a potential reversal when the Fast Oscillator crosses its trend line from an overbought or oversold zone.
Rev▲: A bullish reversal signal has occurred.
Rev▼: A bearish reversal signal has occurred.
–: No active reversal signal.
🟠 USAGE
The primary function of this screener is to quickly identify trading opportunities and filter setups based on momentum confluence across your watchlist.
1. Setup and Configuration:
Add the indicator to your chart.
Go into the script settings and populate the "Watchlist" group with the symbols you wish to monitor.
Adjust the settings for the various momentum components (Fast Oscillator, Scalper's Momentum, etc.) to align with your trading strategy. These settings will be universally applied to all symbols in the screener.
2. Interpreting the Columns for Trading Decisions:
Momentum Impulse & Hidden Liquidity Flow: Use these columns to establish a directional bias. A bullish "▲" in both columns on an asset suggests a strong underlying uptrend with supportive buying pressure, making it a good candidate for long positions.
Scalper's Momentum: Use this for entry timing and trend health. A "Strong▲" reading can confirm the strength of an uptrend, while a shift to "Weak▲" might suggest it's time to tighten stops or look for an exit.
Fast Oscillator Trend & Valuation: These are best for precise entry triggers. For a "buy the dip" strategy in an uptrend, you could wait for the Fast Oscillator to show "OS" (Oversold) and then enter when the "Trend" column flips back to "▲".
Dim. Momentum: This is an excellent take-profit signal. If you are in a long position and a bullish-colored "●" appears, it's a warning that the upward move is losing steam, and you might consider closing your trade.
Divergence & Reversal: These columns are for identifying potential turning points. A "Div▲" or "Rev▲" signal is a strong alert that a downtrend might be ending, making the asset a prime candidate to watch for a long entry.
3. Finding High-Probability Setups:
Trend Confluence: Look for assets where multiple components show alignment. For example, an ideal long setup might show a bullish "Momentum Impulse" (▲), a "Strong▲" reading in "Scalper's Momentum," and a bullish trend in the "Fast Oscillator." This indicates that the long-term, medium-term, and short-term momentums are all in agreement.
Reversal and Exhaustion: Use the "Divergence" and "Reversal" columns to spot potential turning points. A "Div▲" signal appearing in an asset that is in an oversold "Fast Oscillator Valuation" zone can be a strong indication of an upcoming bounce.
有料スクリプト
Liquidation Reversal Signals [AlgoAlpha]🟠 OVERVIEW
This tool detects potential liquidation-driven reversals by combining z-score analysis of up/down volume with the classic Supertrend. It watches for abnormal surges in directional volume (on a lower timeframe) and links them to trend flips on the main chart. When both align within a short window, it flags a probable reversal caused by forced liquidations. The goal is to help traders identify exhaustion points where aggressive liquidation moves may mark the end of a trend leg.
🟠 CONCEPTS
The logic revolves around Z-score normalization of up and down volume to locate statistical extremes. When up-volume z-scores exceed a threshold during a bearish Supertrend, it implies trapped shorts being squeezed; the opposite applies for long liquidations. The script tracks these liquidation spikes and monitors whether a Supertrend regime change follows soon after. If confirmed within the allowed timeout, a colored signal marks the event.
In essence:
Z-score outliers = potential forced liquidations.
Supertrend = structural regime context.
Combined = statistically confirmed reversal signals, not random flips.
This pairing reduces false positives by ensuring that both volatility structure and order-flow extremes agree before flagging a reversal.
🟠 FEATURES
Z-score detection for liquidation spikes with adjustable lookback and threshold.
Confirmation logic linking liquidations to Supertrend flips.
Alerts for liquidation spikes and confirmed reversal starts.
On-chart “No Volume” warning to avoid misreads on illiquid assets.
🟠 USAGE
Setup : Add the script to your main chart. Choose a lower timeframe (default 15m) to capture more granular liquidation flows. Adjust Z-Score Length to control how far back the script measures normal behavior and Threshold to decide what counts as extreme. Keep Timeout Bars low (e.g. 20–50) for faster reversals, or higher for slower markets.
Read the chart :
• Circles appear below bars when long liquidations occur; above bars for short liquidations.
• A Supertrend flip with a recent liquidation spike will display an arrow and color shift.
• Fills between candles and trend lines show which side dominates: green for bullish reversal, red for bearish.
• Candle color fades based on the magnitude of liquidation pressure.
Settings that matter :
• Z-Score Length : Longer smooths noise but delays signal; shorter reacts faster.
• Z-Score Threshold : Higher means only extreme liquidations trigger; lower finds smaller squeezes.
• Timeout Bars : Defines how long after a liquidation the Supertrend flip remains valid.
• Lower Timeframe : Determines the precision of volume readings; too low may increase noise.
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW
This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail.
🟠 CONCEPTS
The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as:
Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution)
Retail — volume closing at bar extremes (suggesting chase entries or panic exits)
When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume.
🟠 FEATURES
Classifies flows into Smart Money or Retail based on candle-body context.
Displays live P/L comparison table for Smart vs Retail performance.
Alerts for each detected Smart or Retail buy/sell event.
🟠 USAGE
Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level.
Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price.
See what others are doing :
Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
High Probability Order Blocks [AlgoAlpha]🟠 OVERVIEW
This script detects and visualizes high-probability order blocks by combining a volatility-based z-score trigger with a statistical survival model inspired by Kaplan-Meier estimation. It builds and manages bullish and bearish order blocks dynamically on the chart, displays live survival probabilities per block, and plots optional rejection signals. What makes this tool unique is its use of historical mitigation behavior to estimate and plot how likely each zone is to persist, offering traders a probabilistic perspective on order block strength—something rarely seen in retail indicators.
🟠 CONCEPTS
Order blocks are regions of strong institutional interest, often marked by large imbalances between buying and selling. This script identifies those areas using z-score thresholds on directional distance (up or down candles), detecting statistically significant moves that signal potential smart money footprints. A bullish block is drawn when a strong up-move (zUp > 4) follows a down candle, and vice versa for bearish blocks. Over time, each block is evaluated: if price “mitigates” it (i.e., closes cleanly past the opposite side and confirmed with a 1 bar delay), it’s considered resolved and logged. These resolved blocks then inform a Kaplan-Meier-like survival curve, estimating the likelihood that future blocks of a given age will remain unbroken. The indicator then draws a probability curve for each side (bull/bear), updating it in real time.
🟠 FEATURES
Live label inside each block showing survival probability or “N.E.D.” if insufficient data.
Kaplan-Meier survival curves drawn directly on the chart to show estimated strength decay.
Rejection markers (▲ ▼) if price bounces cleanly off an active order block.
Alerts for zone creation and rejection signals, supporting rule-based trading workflows.
🟠 USAGE
Read the label inside each block for Age | Survival% (or N.E.D. if there aren’t enough samples yet); higher survival % suggests blocks of that age have historically lasted longer.
Use the right-side survival curves to gauge how probability decays with age for bull vs bear blocks, and align entries with the side showing stronger survival at current age.
Treat ▲ (bullish rejection) and ▼ (bearish rejection) as optional confluence when price tests a boundary and fails to break.
Turn on alerts for “Bullish Zone Created,” “Bearish Zone Created,” and rejection signals so you don’t need to watch constantly.
If your chart gets crowded, enable Prevent Overlap ; tune Max Box Age to your timeframe; and adjust KM Training Window / Minimum Samples to trade off responsiveness vs stability.
Reverse RSI Signals [AlgoAlpha]🟠 OVERVIEW
This script introduces the Reverse RSI Signals system, an original approach that inverts traditional RSI values back into price levels and then overlays them directly on the chart as dynamic bands. Instead of showing RSI in a subwindow, the script calculates the exact price thresholds that correspond to common RSI levels (30/70/50) and displays them as upper, lower, and midline bands. These are further enhanced with an adaptive Supertrend filter and divergence detection, allowing traders to see overbought/oversold zones translated into actionable price ranges and trend signals. The script combines concepts of RSI inversion, volatility envelopes, and divergence tracking to provide a context-driven tool for spotting reversals and regime shifts.
🟠 CONCEPTS
The script relies on inverting RSI math: by solving for the price that would yield a given RSI level, it generates real chart levels tied to oscillator conditions. These RSI-derived price bands act like support/resistance, adapting each bar as RSI changes. On top of this, a Supertrend built around the RSI midline introduces directional bias, switching regimes when the midline is breached. Regular bullish and bearish divergences are detected by comparing RSI pivots against price pivots, highlighting early reversal conditions. This layered approach means the indicator is not just RSI on price but a hybrid of oscillator translation, volatility-tracking midline envelopes, and divergence analysis.
🟠 FEATURES
Inverted RSI bands: upper (70), lower (30), and midline (50), smoothed with EMA for noise reduction.
Supertrend overlay on the RSI midline to confirm regime direction (bullish or bearish).
Gradient-filled zones between outer and inner RSI bands to visualize proximity and exhaustion.
Non-repainting bullish and bearish divergence markers plotted directly on chart highs/lows.
🟠 USAGE
Apply the indicator to any chart and use the plotted RSI price bands as adaptive support/resistance. The midline defines equilibrium, while upper and lower bands represent classic RSI thresholds translated into real price action. In bullish regimes (green candles), long trades are stronger when price approaches or bounces from the lower band; in bearish regimes (red candles), shorts are favored near the upper band. Divergence markers (▲ for bullish, ▼ for bearish) flag potential reversal points early. Traders can combine the band proximity, divergence alerts, and Supertrend context to time entries, exits, or to refine ongoing trend trades. Adjust smoothing and Supertrend ATR settings to match the volatility of the instrument being analyzed.
Zero Lag Liquidity [AlgoAlpha]🟠 OVERVIEW
This script plots liquidity zones with zero lag using lower-timeframe wick profiles and high-volume wicks to mark key price reactions. It’s called Zero Lag Liquidity because it captures significant liquidity imbalances in real time by processing lower-TF price-volume distributions directly inside the wick of abnormal candles. The tool builds a volume histogram inside long upper/lower wicks, then calculates a local Point of Control (POC) to mark the price where most volume occurred. These levels act as visual liquidity zones, which can trigger labels, break signals, and trend detection depending on price interaction.
🟠 CONCEPTS
The core concept relies on identifying high-volume candles with unusually long wicks—often a sign of opposing liquidity. When a large upper or lower wick appears with a strong volume spike, the script builds a histogram of lower-timeframe closes and volumes inside that wick. It bins the wick into segments, sums volume per bin, and finds the POC. This POC becomes the liquidity level. The script then dynamically tracks whether price breaks above or rejects off these levels, adjusts the active trend regime accordingly, and highlights bars to help users spot continuation or reversal behavior. The logic avoids repainting or subjective interpretation by using fixed thresholds and lower-TF price action.
🟠 FEATURES
Dynamic liquidity levels rendered at POC of significant wicks, colored by bullish/bearish direction.
Break detection that removes levels once price decisively crosses them twice in the same direction.
Rejection detection that plots ▲/▼ markers when price bounces off levels intrabar.
Volume labels for each level, shown either as raw volume or percentage of total level volume.
Candle coloring based on trend direction (break-dominant).
🟠 USAGE
Use this indicator to track where liquidity has most likely entered the market via abnormal wick events. When a long wick forms with high volume, the script looks inside it (using your chosen lower timeframe) and marks the most traded price within it. These levels can serve as expected reversal or breakout zones. Rejections are marked with small arrows, while breaks trigger trend shifts and remove the level. You can toggle trend coloring to see directional bias after a breakout. Use the wick multiplier to control how selective the detector is (higher = stricter). Alerts and label modes help customize the signal for different asset types and chart styles.
Smart Money Breakout Channels [AlgoAlpha]🟠 OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠 CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
🟠 FEATURES
Automatic detection and drawing of breakout channels based on volatility-normalized price pivots.
Optional nested channels to allow multiple simultaneous zones or a clean single-zone view.
Gradient-filled volume gauge with dynamic pointer to show current delta pressure within the box.
Three volume visualization modes: raw volume, comparative up/down volume, and delta.
Alerts for new channel creation and confirmed bullish or bearish breakouts.
🟠 USAGE
Apply the indicator to any chart. Wait for a new breakout box to form—this occurs when volatility behavior shifts and a stable range emerges. Once a box appears, monitor price relative to its boundaries. A breakout above suggests bullish continuation, below suggests bearish continuation; signals are stronger when “Strong Closes Only” is enabled.
Watch the internal volume candles to understand where buy/sell pressure is concentrated during the box. Use the gauge on the right to interpret whether net pressure is building upward or downward before breakout to anticipate the direction.
Use alerts to catch breakout events without needing to monitor the chart constantly 🚨.
Stochastic Z-Score [AlgoAlpha]🟠 OVERVIEW
This indicator is a custom-built oscillator called the Stochastic Z-Score , which blends a volatility-normalized Z-Score with stochastic principles and smooths it using a Hull Moving Average (HMA). It transforms raw price deviations into a normalized momentum structure, then processes that through a stochastic function to better identify extreme moves. A secondary long-term momentum component is also included using an ALMA smoother. The result is a responsive oscillator that reacts to sharp imbalances while remaining stable in sideways conditions. Colored histograms, dynamic oscillator bands, and reversal labels help users visually assess shifts in momentum and identify potential turning points.
🟠 CONCEPTS
The Z-Score is calculated by comparing price to its mean and dividing by its standard deviation—this normalizes movement and highlights how far current price has stretched from typical values. This Z-Score is then passed through a stochastic function, which further refines the signal into a bounded range for easier interpretation. To reduce noise, a Hull Moving Average is applied. A separate long-term trend filter based on the ALMA of the Z-Score helps determine broader context, filtering out short-term traps. Zones are mapped with thresholds at ±2 and ±2.5 to distinguish regular momentum from extreme exhaustion. The tool is built to adapt across timeframes and assets.
🟠 FEATURES
Z-Score histogram with gradient color to visualize deviation intensity (optional toggle).
Primary oscillator line (smoothed stochastic Z-Score) with adaptive coloring based on momentum direction.
Dynamic bands at ±2 and ±2.5 to represent regular vs extreme momentum zones.
Long-term momentum line (ALMA) with contextual coloring to separate trend phases.
Automatic reversal markers when short-term crosses occur at extremes with supporting long-term momentum.
Built-in alerts for oscillator direction changes, zero-line crosses, overbought/oversold entries, and trend confirmation.
🟠 USAGE
Use this script to track momentum shifts and identify potential reversal areas. When the oscillator is rising and crosses above the previous value—especially from deeply negative zones (below -2)—and the ALMA is also above zero, this suggests bullish reversal conditions. The opposite holds for bearish setups. Reversal labels ("▲" and "▼") appear only when both short- and long-term conditions align. The ±2 and ±2.5 thresholds act as momentum warning zones; values inside are typical trends, while those beyond suggest exhaustion or extremes. Adjust the length input to match the asset’s volatility. Enable the histogram to explore underlying raw Z-Score movements. Alerts can be configured to notify key changes in momentum or zone entries.
