Crypto Leverage Index(OI Norm. + FR)Crypto Leverage Index (OI Z-Score + Funding Rate Signals)
(A tool for detecting speculative extremes and leverage load in crypto derivatives markets.)
Hello, fellow traders around the globe!
In today's crypto futures market, often perceived as a 'playground for large players' (whales/smart money), catching extreme leverage behavior is crucial for survival. I wanted to come up with an indicator to quickly identify such market extremes by focusing on the two most potent indicators of leveraged action: Open Interest (OI) and Funding Rate (FR). The goal is to ride on the shoulders of the market movers by anticipating their next liquidity-driven actions. hope this helps.
❗ IMPORTANT NOTE: This indicator works exclusively on Perpetual Futures or Swap Charts that provide Open Interest (OI) data.
⚪ Overview
This indicator provides a standardized view of speculative activity by calculating the Open Interest (OI) Z-Score . This score reveals when the current level of open leverage is abnormally high (premium) or low (discount) relative to its historical mean and volatility. The index is also augmented with Extreme Funding Rate Signals , which plot simple White Dots on the chart when derivative positioning (long or short bias) reaches an unsustainable, overheated level. The combination of OI volume and positioning bias offers a good method to identify potential market reversal zones driven by leverage liquidation risks (short/long squeezes).
⚪ Score Components
Open Interest Z-Score (Leverage Load)
The primary component standardizes the Open Interest value over a defined lookback `Period` (default 50). This calculation reveals the statistical deviation of current leverage from the norm.
OI Z-Score = (OI - Mean(OI)) / StDev(OI)
Funding Rate (Positioning Bias)
Calculates the approximate funding rate using a TWAP (Time-Weighted Average Price) of the Perpetual Futures Premium, combined with the standard 0.01% Interest Rate.
⚪ Extreme Condition Detection
OI Z-Score Extremes
* Premium Zone (Red Fill) : OI Z-Score is above the user-defined `Threshold` (default 2.0). Indicates high/overstretched leverage.
* Discount Zone (Green Fill) : OI Z-Score is below the user-defined negative threshold (default -2.0). Indicates low/unwinded leverage.
Funding Rate Extreme Signals (White Dots)
These appear as small White Dots ( · ) plotted at fixed levels within the indicator pane. The position indicates the bias:
* Top Dot (Excessive Longs) : Triggered when Funding Rate is greater than Abnormal Funding Rate Threshold (e.g. 0.03%). Indicates excessive Long positioning/greed and potential for a short-term reversal (Long Squeeze risk). The dot is plotted at the positive `FR Signal Plot Level`.
* Bottom Dot (Excessive Shorts) : Triggered when Funding Rate is lower than -Abnormal Funding Rate Threshold(e.g. -0.03%). Indicates excessive Short positioning/fear and potential for a short-term reversal (Short Squeeze risk). The dot is plotted at the negative `FR Signal Plot Level`.
⚪ Leverage Case Scenarios (Price, OI Dynamics & Context)
The OI Z-Score reflects the premium/discount state of *leverage* (Open Interest) , not the price. The price may not be in a premium or discount area simply because the OI is. OI only indicates the volume of outstanding futures positions. You must observe price action and candlestick patterns alongside the OI movements to determine the true contextual hint. Understanding the relationship between price and Open Interest (OI) change is key to interpreting market movements. The cases listed below represent the most common and thinkable patterns, but do not exhaust all possible market behaviors.
1. Long Build-Up (Price ▲, OI ▲): New long positions enter, confirming the rising trend.
2. Short Build-Up (Price ▼, OI ▲): New short positions enter, confirming the falling trend. Due to the inherently long-biased nature of the crypto market, this scenario is less frequently observed than Long Build-Up.
3. Long Covering/liquidation (Price ▼, OI ▼): Existing longs are closed/liquidated. This activity usually results from Panic Selling or forced long liquidation.
4. Short Covering (Price ▲, OI ▼): Existing shorts are forced to close (Short Squeeze).
5. Long Trap (Price ▲, OI ▲ or ▼): Price rises, but OI suggests new positioning that might be trapping longs. Bearish candle pattern can be often shown with the sweep.
6. Short Trap (Price ▼, OI ▲ or ▼): Warning Sign - Price falls, but OI suggests new positioning that might be trapping shorts.
⚪ Key Input Parameters
OI Z-Score
* Period (Default: 50)
Determines how many recent bars are used to calculate the rolling mean and volatility (standard deviation) of the Open Interest data.
* Z-Score Threshold (Default: 2.0)
The critical level that the OI Z-Score must cross to be considered 'extreme' (overstretched leverage).
Funding Rate
* Abnormal FR Threshold (Default: 0.03)
The absolute percentage value (e.g., 0.03%) that the Funding Rate must exceed or fall below to trigger an extreme signal dot.
* FR Signal Plot Level (Default: 4.0)
Sets the fixed vertical position (Y-level) on the Z-Score chart where the Funding Rate signal dots will appear. (e.g., 4.0 plots the dot at the Z-Score +-4.0 level).
Disclaimer
This script is for educational and informational purposes only and does not constitute financial advice or investment recommendations. Trading cryptocurrencies involves significant risk and you are solely responsible for your own investment decisions, based on your financial situation, objectives, and risk tolerance. The author assumes no liability for losses arising from the use of this indicator.
Indicatori e strategie
NQ Points of Interest Suite (Fixed)Defines pre level of support and resistance
Daily MID LOW OPEN CLOSE
WEEKLY MID LOW OPEN CLOSE
MONTHLY MID LOW OPEN CLOSE
EMA21 Pullback BuyEMA21 Pullback Buy is a tool designed to identify constructive pullbacks to the 21-period EMA in strong uptrends.
It highlights candles where:
• The previous close was above EMA21
• The current low touches or dips below EMA21
• The candle closes back above EMA21
These candles are considered potential “support tests” in a trending stock.
You can configure a maximum number of valid tests to avoid late-stage entries.
The script:
• Colors the test candles (optional)
• Marks them with a small circle
• Triggers a buy signal (green triangle) on the first bullish candle that breaks above the test candle’s high
Optional alerts are included for both:
• New EMA21 test
• Buy trigger after valid test
The goal is to help traders find low-risk entries in clean, trending stocks — without chasing breakouts or reacting emotionally. Best used with strong RS names and proper trend context.
9 EMA Retracement Buy/Sell + Volume FilterFor all you scalpers out there this is a 9 ema scalp Indicator coupled with volume bars, the Indicator plots buy and sell when the conditions are met
Price mist be above or below the 9 ema it must retrace and the volume bar must match the direction of the candle and then a signal will be printed with a red or green triangle, do not blindly take all trades on the signals make sure the is a trend works on any asset and remember it is for scalping only
Triple Moving Average's EMA/SMAThis Pine Script in its final v5 version is a fundamental visual tool that supports traders in quickly identifying the trend and sentiment.
Key Script Goal
This script's primary objective is flexible multi-timeframe analysis of the trend.
The script serves as a universal set of three independent moving averages, which is intended to help you with the visual assessment of the market context:
EMA (20 periods): Serves as dynamic support/resistance for short-term sentiment. It is highly sensitive to recent price action.
SMA1 (50 periods): Typically acts as a medium-term trend indicator. It is often used to identify corrections.
SMA2 (100 periods): Provides a long-term perspective. Its slope and position relative to the price indicate the dominant structural trend.
The script is a base for every trader who relies on technical analysis and Price Action, utilizing moving averages as dynamic S/R levels.
Estrategia Visual PRO: Momentum EditionIndicador con estrategia propia basado en cruce de emas editables son sombreado de tendencia del precio y niveles de soporte y resistencias donde el precio tiene reaccion, tambien cuenta con filtro de rsi donde colorea las velas segun la fuerza del rsi, colores editables y cuando el precio pierde fuerza
This indicator, with its own strategy based on editable EMA crossovers, features price trend shading and support and resistance levels where the price reacts. It also includes an RSI filter that colors the candles according to the strength of the RSI, with editable colors, and alerts you when the price loses strength.
Alloyz Traders_RSI by Sagar BRSI for Intraday purpose with moving average and volume weightage price added in RSI.
RSI Pivot Breaks█ OVERVIEW
RSI Pivot Breaks is an RSI-based indicator that detects breakout events on oscillator-based pivot levels (RSI or MA RSI).
The tool automatically plots pivot levels, tracks their breakouts, highlights momentum shifts, and generates alerts for key events (pivot breaks and OB/OS crosses).
The indicator is designed primarily for momentum strategies — pivot breakouts often precede directional price moves, making RSI Pivot Breaks a powerful tool for identifying accelerations and changes in strength.
█ CONCEPTS
The indicator analyzes local RSI extremes and transforms them into dynamic support/resistance levels.
When RSI or MA RSI breaks the last pivot, it signals a shift in momentum balance, often leading to an impulse move.
Key concepts:
- pivot highs/lows detected on RSI or MA RSI,
- pivot lines extend forward until broken,
- pivot filters restrict pivot detection to specific RSI zones,
- OB/OS levels provide contextual momentum thresholds.
█ FEATURES
Pivot Detection & Breakouts
- Detection of pivot highs and lows on RSI or MA RSI.
- Pivot filters allow you to limit pivot detection to specific RSI ranges (e.g., only bullish pivots below 50 or bearish pivots above 50).
- Pivot lines update automatically after breakout.
Background highlights:
- green on pivot-high breakouts,
- red on pivot-low breakouts.
RSI & MA RSI
- Dynamic RSI colors based on momentum direction.
- Optional MA RSI line (SMA/EMA/RMA/WMA) usable as a smoother pivot source.
OB / OS Zones
- Fully adjustable overbought/oversold levels.
- Dedicated OB/OS colors.
- Optional gradient backgrounds.
Highlights
- Instant identification of moments when RSI breaks a key pivot level.
Alerts:
- pivot high breakouts.
- pivot low breakouts.
- OB crosses.
- OS crosses.
█ HOW TO USE
Add the indicator:
Indicators → RSI Pivot Breaks.
RSI Settings
- RSI Length – core RSI period.
- RSI MA Length & Type – MA RSI smoothing parameters.
Pivot Settings
- Pivot Left / Pivot Right – number of bars required to form a pivot and also the number of bars of delay before the pivot becomes confirmed.
(Higher values produce more reliable but slower pivots.)
Pivot Filters
- Minimum/maximum allowed RSI levels for pivot Highs and Lows.
- Examples:
- detect only pivot Highs at low RSI values.
- ignore pivots during extreme momentum.
- allow only mid-range pivot detection depending on strategy.
Visualization
- Toggles for RSI and MA RSI visibility.
- Optional gradients.
- Full color and transparency customization.
OB/OS Levels
- Adjustable thresholds depending on instrument volatility and strategy style.
█ SIGNAL INTERPRETATION
BUY
- RSI breaks the latest pivot high.
- RSI crosses upward out of OS.
- Context example: pivot lows forming a rising sequence.
SELL
- RSI breaks the latest pivot low.
- RSI drops downward from OB.
- Context example: pivot highs forming a declining sequence.
Trend / Momentum
- Pivot breakouts indicate acceleration or continuation of momentum.
- MA-based pivots provide smoother and more stable momentum structure.
█ APPLICATIONS
- Momentum Trading – pivot breaks as early acceleration signals.
- Scalping & Intraday – fast RSI pivots react quickly to short-term shifts.
- Swing Trading – smoother pivots using MA RSI for higher-timeframe structure.
- Divergence Detection – pivot behavior helps reveal divergence patterns, e.g.:
- RSI pivots rising while price is falling → potential early momentum reversal.
- Custom Filtering – pivot filters allow, for example:
- blocking bullish signals near OB.
- blocking bearish signals near OS.
- detecting pivots only above/below mid-range during strong trends,
depending entirely on strategy design.
█ NOTES
- Pivot detection includes natural delay equal to the Left/Right parameters.
- Pivot filters significantly change the character of signals, allowing fine-tuning of aggressiveness for any strategy.
teril 1H EMA50 Harami Reversal Alerts BB Touch teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
teril Harami Reversal Alerts BB Touch (Wick Filter Added + 1H EMA50)
Terils 1hr HTF EMA Add-On EMA 50/100its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
its EMA 50 and EMA 100 in 1 her time frame.
Volatility Value BandsThis indicator is a modern adaptation of Mark Helweg's original Value Charts concept, focused on visually displaying volatility zones and "extreme value" areas directly on the price chart. It does not replicate the original work but draws inspiration from the logic of normalizing price by volatility to highlight statistically stretched regions.
1. Introduction
This study displays three lines directly on the chart:
- a central reference line (base),
- an upper overvaluation band,
- and a lower undervaluation band.
The bands are calculated from the relationship between price, moving average, and volatility (via true range/ATR), following Mark Helweg's Value Charts concept but with a custom implementation and adjustable parameters for different assets and timeframes. This allows objectively visualizing when price is in a statistically extended region relative to its recent behavior.
2. Key Features
- Volatility-normalized base
The indicator converts price deviation into "value units" using a combination of moving average and smoothed volatility (true range/ATR), making levels comparable across different assets and time horizons.
- Auto-adjusting limits (optional)
An automatic mode can calculate upper and lower limits from recent value unit extremes, using a configurable sampling window and percentile, allowing bands to adapt to the current volatility regime without manual recalibration.
- Direct plot on price chart
The three lines (central, upper, and lower) are drawn directly on the main asset chart (`overlay`), making it easy to read context: it's clear when price "touches" or breaks the volatility bands without switching to a separate pane.
- Flexible parameters
Users can control:
- base moving average period (length)
- volatility factor (manual or automatic)
- independent windows for volatility and limits calculation
- limits mode (auto or manual) and percentile used
This allows adapting behavior to different markets (stocks, indices, forex, crypto).
3. How to Use
- Basic interpretation
- When price approaches or exceeds the upper band, it indicates a statistically overvalued zone where the asset is stretched upward relative to recent volatility.
- When price approaches or exceeds the lower band, it indicates a statistically undervalued zone.
- The central line serves as a reference for recent "average value," derived from the base moving average.
- Recommended initial setup
- Choose the Value Chart period (e.g., 144 bars) for the base.
- Enable automatic limits mode for coherent bands matching the asset's volatility.
- Adjust the limits window and percentile for tighter bands (more signals) or wider bands (fewer but more extreme).
- Best practices
- Use bands as context filters, not standalone buy/sell signals. Combine with trend, market structure, or other confirmation indicators.
- Avoid decisions solely because price touched a band; in strong trends, price can "walk the edge" for extended periods.
- Always follow TradingView community rules when publishing: clearly state in the description that the study is "inspired by Mark Helweg's Value Charts concept," without claiming official status, reproducing proprietary code, or violating copyrights.
Scalping EMA9/15 This indicator is designed for high-accuracy intraday scalping based on a refined version of the popular EMA9–EMA15 trend-following technique.
It filters weak or premature entries by requiring a retest of the EMA zone before generating a Buy/Sell signal — drastically reducing false breakouts.
Volume Heikin Ashi by CrugThis indicator combines the Heikin Ashi with classic volume candles.
It is useful to see the trend and "how much" volume it contains
1 - Select Volume Candles on the graph
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2- In setting remove the all the colors
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3- Insert the indicator
4- Using with momentum indicators (like Market liberator B, MACD, ...) it provides more precise and realistic data to plot divergences because it combines: classic japanese candle but with volumes. In the meantime it is easier to see the main trend
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Swing HL**摆动点标注（Swing HL）**
本指标用于在价格图表上标示摆动高点与摆动低点，以辅助用户观察价格结构、波段节奏及潜在支撑/阻力区域。标注以圆点形式叠加在主图上，可通过参数灵活控制显示周期、敏感度及视觉样式，适合作为价格结构分析的辅助工具。
### 参数及用法说明
1. **最小显示时间框架（minSwingTf）**
* 用途：设定摆动点开始显示的最小周期。
* 当前图表周期小于该设置时，不显示任何摆动标注。
* 建议：
* 做中短线结构分析时，可设置为 240 分钟或更高；
* 若需要在更小周期观察结构，可适当降低该参数。
2. **left / right（leftBars / rightBars）**
* 用途：共同控制摆动高点、低点识别的“严格程度”和频率。
* 调整建议：
* 数值较小：标注更频繁，适合关注细节波动、短线结构；
* 数值较大：只保留更明显的摆动点，适合观察中期或波段结构；
* 当图表上摆动点过多、显得拥挤时，可适当增大这两个参数。
3. **标注颜色（dotColor）**
* 用途：设置摆动点圆标的颜色。
* 建议根据图表背景及主图颜色进行调整，以保证摆动点清晰可见但不过于抢眼。
4. **线宽（dotWidth）**
* 用途：控制圆点标注的线宽，从而影响圆点的视觉大小。
* 当需要在高密度数据或缩放较小时保持清晰，可适当增大该数值。
### 使用建议
* 可将本指标作为结构辅助层叠加在任何交易系统之上，用于直观划分价格的波段高低点。
* 进行多周期分析时，可在较大周期（如 4H、日线）上利用本指标确认整体结构，再配合小周期执行入场与风控。
* 当摆动点过多时，可通过提高 `minSwingTf` 或增加 `left` / `right` 参数，使结构标注更加简洁清晰。
* 本指标仅提供价格摆动结构的可视化标注，不直接构成完整的交易信号或策略规则，建议与个人既有分析方法结合使用。
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**Swing HL – Swing High/Low Marker**
This indicator marks swing highs and swing lows on the price chart to assist in reading price structure, swing rhythm, and potential support/resistance zones. Markers are plotted as dots on the main chart, and display behavior can be fully controlled via user inputs such as minimum timeframe, sensitivity, and visual style. It is designed to serve as a structural overlay for discretionary or systematic analysis.
### Inputs and Usage
1. **Minimum Display Timeframe (minSwingTf)**
* Purpose: Defines the minimum timeframe on which swing markers will be shown.
* When the current chart timeframe is below this setting, all swing markers are hidden.
* Guidance:
* For swing or position-style structure analysis, consider using 4H or higher;
* For intraday structural work, you may lower this value as needed.
2. **left / right (leftBars / rightBars)**
* Purpose: Jointly control how strict and how frequent swing highs and lows are marked.
* Tuning:
* Smaller values: More frequent swings, suitable for detailed, lower-timeframe structure;
* Larger values: Only more pronounced swings are kept, suitable for higher-level trend and swing mapping;
* If the chart becomes crowded with markers, increasing these values will simplify the structure.
3. **Marker Color (dotColor)**
* Purpose: Sets the color of the swing markers.
* It is recommended to choose a color that contrasts with the background and main price plot while remaining visually unobtrusive.
4. **Line Width (dotWidth)**
* Purpose: Controls the line width of the dot markers, effectively adjusting their perceived size.
* On dense charts or when zoomed out, a larger value can help maintain readability.
### Practical Notes
* Use this indicator as a structural overlay to highlight swing highs and lows alongside your existing trading tools and methods.
* In multi-timeframe workflows, it can help outline the main structure on higher timeframes (e.g., 4H, Daily), which you then refine on lower timeframes for execution.
* If too many swing points appear, either increase `minSwingTf` or raise the `left` / `right` values to obtain a cleaner structural view.
* The script is intended as a visualization aid for price swings; it does not, by itself, define entry, exit, or risk management rules and should be integrated into a broader analytical framework.
ZKNZCN Önceki Bar H/L (Ayrı Kontrol)Bir önceki barın high & low noktalarını çizgi halinde görmeyi sağlar.
Multi-Distribution Volume Profile (Zeiierman)█ Overview
Multi-Distribution Volume Profile (Zeiierman) is a flexible, structure-first volume profile tool that lets you reshape how volume is distributed across price, from classic uniform profiles to advanced statistical curves like Gaussian, Lognormal, Student-t, and more.
Instead of forcing every market into a single "one-size-fits-all" profile, this tool lets you model how volume is likely concentrated inside each bar (body vs wicks, midpoint, tails, center bias, right-skew, heavy tails, etc.) and then stacks that behavior across a whole lookback window to build a rich, multi-distribution map of traded activity.
On top of that, it overlays a dynamic Center Band (value area) and a fade/gradient model that can color each price row by volume, hits, recency, volatility, reversals, or even liquidity voids, turning a plain profile into a multi-dimensional context map.
Highlights
Choose from multiple Profile Build Modes , including uniform, body-only, wick-only, midpoint/close/open, center-weighted, and a suite of probability-style distributions (Gaussian, Lognormal, Weibull, Student-t, etc.)
Flexible anchor layout: draw the profile on Right/Left (horizontal) or Bottom/Top (vertical) to fit any chart layout
Value Area / Center Band computed from volume quantiles around the POC.
Gradient-based Fade Metrics: volume, price hits, freshness (time decay), volatility impact, dwell time, reversal density, compression, and liquidity voids
Separate bullish vs bearish volume at each price row for directional structure insights
█ How It Works
⚪ Profile Construction
The script scans a user-defined Bars Included window and finds the full high–low span of that zone. It then divides this range into a user-controlled number of Price Levels (rows).
For each historical bar within the window:
It measures the candle’s price range, body, and wicks.
It assigns volume to rows according to the selected Profile Build Mode, for example:
* Range Uniform – volume spread evenly across the full high–low range.
* Range Body Only / Range Wick Only – concentrate volume inside the body or wicks only.
* Midpoint / Close / Open Only – allocate volume entirely into one price row (pinpoint modeling).
HL2 / Body Center Weighted – center weights around the middle of the range/body.
Recent-Weighted Volume – amplify newer bars using exponential time decay.
Volume Squared (Hard) – aggressively boost bars with large volume.
Up Bars Only / Down Bars Only – filter volume to only bullish or bearish bars.
For more advanced shapes, the script uses continuous distributions across the bar’s span:
Linear, Triangular, Exponential to High
Cosine Centered, PERT
Gaussian, Lognormal, Cauchy, Laplace
Pareto, Weibull, Logistic, Gumbel
Gamma, Beta, Chi-Square, Student-t, F-Shape
Each distribution produces a weight for each row within the bar’s range, normalized so the total volume remains consistent, but the shape of where that volume lands changes.
⚪ POC & Center Band (Value Area)
Once all rows are accumulated:
The row with the highest total volume becomes the Point of Control (POC)
The script computes cumulative volume and finds the band that wraps a user-defined Center of Profile % (e.g., 68%) around the center of distribution.
This range is displayed as a central band, often treated like a value area where price has spent the most “effort” trading.
⚪ Gradient Fade Engine
Each row also gets a fade metric, chosen in Fade Metric:
Volume – opacity based on relative volume.
Price Hits – how frequently that row was touched.
Blended (Vol+Hits) – average of volume & hits.
Freshness – emphasizes recent activity, controlled by Decay.
Volatility Impact – rows that saw larger ranges contribute more.
Dwell Time – where price “camped” the longest.
Reversal Density – where direction changes cluster.
Compression – tight-range compression zones.
Liquidity Void – inverse of volume (thin liquidity zones).
When Apply Gradient is enabled, the row’s bullish/bearish colors are tinted from faint to strong based on this chosen metric, effectively turning the profile into a heatmap of your chosen structural property.
█ How to Use
⚪ Explore Different Distribution Assumptions
Switch between multiple Profile Build Modes to see how your assumptions about intrabar volume affect structure:
Use Range Uniform for classical profile reading.
Deploy Gaussian, Logistic, or Cosine shapes to emphasize central clustering.
Try Pareto, Lognormal, or F-Shape to focus on tail / extremal activity.
Use Recent-Weighted Volume to prioritize the most recent structural behavior.
This is especially useful for traders who want to test how different modeling assumptions change perceived value areas and levels of interest.
⚪ Identify Value, Acceptance & Rejection Zones
Use the POC and Center of Profile (%) band to distinguish:
High-acceptance zones – wide central band, thick rows, strong gradient → fair value areas
Rejection zones & tails – thin extremes, low dwell time, high volatility or reversal density
These regions can be used as:
Targets and origin zones for mean reversion
Context for breakout validation (leaving value)
Bias reference for intraday rotations or swing rotations
⚪ Read Directional Structure Within the Profile
Because each row is split into bullish vs bearish contributions, you can visually read:
Where buyers dominated a price region (large bullish slice)
Where sellers absorbed or defended (large bearish slice)
Combining this with Fade Metrics like Reversal Density, Dwell Time, or Freshness turns the profile into a structural order-flow map, without needing raw tick-by-tick volume data.
⚪ Use Fade Metrics for Contextual Heatmaps
Each Fade Metric can be used for a different analytical lens:
Volume / Blended – emphasize where volume and activity are concentrated.
Freshness – highlight the most recently active zones that still matter.
Volatility Impact & Compression – spot areas of explosive moves vs coiled ranges.
Reversal Density – locate micro turning points and battle zones.
Liquidity Void – visually pop out thin regions that may act as speedways or magnets.
█ Settings
Profile Build Mode – Selects how each bar’s volume is distributed across its price range (uniform, body/wick, midpoint/close/open, center-weighted, or statistical distribution families).
Bars Included – Number of bars used to build the profile from the current bar backward.
Price Levels – Vertical resolution of the profile: more levels = smoother but heavier.
Anchor Side – Where the profile is drawn on the chart: Right, Left, Bottom, or Top.
Offset (bars) – Horizontal offset from the last bar to the profile when using Right/Left modes.
Apply Gradient – Toggles the fade/heatmap coloring based on the selected metric.
Fade Metric – Chooses the property driving row opacity (Volume, Hits, Freshness, Volatility Impact, Dwell Time, Reversal Density, Compression, Liquidity Void).
Decay – Time-decay factor for Freshness (values close to 1 keep older activity relevant for longer).
Profile Thickness – Relative thickness of the profile along the time axis, as a % of the lookback window.
Center of Profile (%) – Volume percentage used to define the central band (value area) around the POC.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
VCAI MACD LiteVCAI MACD Lite is a clean, modern version of the classic MACD oscillator, rebuilt with selectable EMA/SMA types and a 2-tone histogram using VCAI’s visual style.
It keeps the indicator lightweight and easy to read while giving clearer momentum shifts through rising/falling histogram colour changes.
What it does
Calculates MACD using your choice of EMA or SMA
Plots signal line and histogram with 2-tone VCAI colours
Highlights changes in momentum strength as histogram bars rise or fade
Works on any market and timeframe
How to use it
Expanding yellow bars reflect strengthening upside momentum; dim yellow shows fading strength.
Darker and lighter VCAI purple tones show momentum behaviour below zero, helping you see when bearish pressure is increasing or weakening.
Part of the VCAI Lite Series — clean, minimal tools.
Killzones (EST)Asian Range
19:00 – 00:00 EST
Consolidation, liquidity build
London Open
02:00 – 05:00 EST
Initial expansion, Judas Swing
New York Open
07:00 – 10:00 EST
Main move, SMT, MSS setups
NY Lunch/Reversal
11:30 – 13:00 EST
Rebalancing, exit window
Dynamic Trend Channel - Adaptive Support & Resistance SystemA powerful trend-following indicator that adapts to market conditions in real-time. The Dynamic Trend Channel uses ATR-based volatility measurements to create intelligent support and resistance zones that adjust automatically to price action.
Key Features:
✓ Adaptive channel width based on market volatility (ATR)
✓ Color-coded trend identification (Green = Bullish, Red = Bearish)
✓ Smooth, flowing bands that reduce noise
✓ Breakout signals for high-probability entries
✓ Real-time info table showing trend status and price positioning
✓ Customizable settings for all timeframes
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction
The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels.
The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement.
Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation :
High Potential : 78 to 85 & 22 to 15
Mid Potential : 70 to 78 & 30 to 22
Low Potential : 58 to 62 & 42 to 38
These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds.
In summary, the logic behind the signals follows three principles :
Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome.
Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases.
Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses.
🔵 How to Use
This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement.
🟣 Trend continuation after entering the High Potential zone
When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high.
🟣 Reversal or slowdown after exiting the High Potential zone
If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause.
🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections
Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave.
🟣 Range structure and repetitive reactions inside the Mid Potential zone
When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates.
🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10)
Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation.
🔵 Settings
RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart.
Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum.
Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones.
🔵 Conclusion
Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate.
Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
