Cumulative Volume Delta📊 Indicator Name:
Cumulative Volume Delta (CVD) + Candle Divergence (Color DIfference)
📌 Purpose:
This indicator visualizes volume delta over a user-defined time anchor and highlights divergence between volume-based momentum and price movement. It's especially useful for identifying potential reversals, fakeouts, or hidden buying/selling pressure.
🔍 How It Works:
1. Volume Delta Calculation (CVD Candles):
The script uses ta.requestVolumeDelta() to approximate volume delta data over a chosen anchor period (e.g., 1D).
Volume delta = Buy Volume – Sell Volume
Each candle on the CVD chart represents changes in cumulative volume delta, with OHLC-style values:
openVolume: cumulative delta at the start of the bar
lastVolume: cumulative delta at the end of the bar
maxVolume, minVolume: intra-bar high and low
2. Visual Representation (CVD Candles):
Green/Teal candle: Delta is increasing (buying pressure dominates)
Red candle: Delta is decreasing (selling pressure dominates)
3. Divergence Detection:
The script compares the direction of the price candle with the direction of the CVD candle:
Price Up + CVD Down → Possible hidden selling (bearish divergence)
Price Down + CVD Up → Possible hidden buying (bullish divergence)
4. Color Highlighting:
Orange candle on the CVD chart signals divergence between price and volume delta.
This color override helps you quickly spot potential discrepancies between price movement and underlying volume pressure.
5. Alerting:
An alertcondition is added so you can receive a notification whenever a divergence occurs.
⚙️ User Inputs:
Anchor period (e.g., 1D): Timeframe over which the CVD is anchored.
Use custom timeframe: Allows you to override and define the internal lower timeframe used for volume estimation (e.g., 1-min).
📈 How to Use It:
✅ Bullish Divergence (Price down, CVD up)
This may indicate:
Buyers absorbing selling pressure.
A potential reversal to the upside.
Hidden accumulation.
🚫 Bearish Divergence (Price up, CVD down)
This may indicate:
Sellers stepping in despite upward price.
A potential reversal to the downside.
Hidden distribution.
🧠 Trading Insights:
CVD is often used by order flow traders or those analyzing market depth and volume imbalances.
This version lets you visually align price action with underlying volume, improving decision-making.
The divergence signal can be combined with other technical tools like support/resistance, candlestick patterns, or trendlines for confirmation.
在腳本中搜尋"imbalance"
Math by Thomas SMC Swing Range + Premium/Discount ZonesDescription:
"Math by Thomas – SMC Swing Range + Premium/Discount Zones" is a Smart Money Concepts (SMC) based indicator designed to help traders visually understand market structure and value zones.
This tool automatically detects and marks:
🔺 Recent Swing Highs and Lows
🟧 Midpoint Line between swing high and low
🟥🟩 Premium/Discount Zones for value-based entries
🔤 HH, HL, LH, LL Labels to identify trend structure
🔁 BoS (Break of Structure) and CHoCH (Change of Character) confirmations
Built with Pine Script v6, this indicator is optimized for both intraday and positional traders who rely on structure-based decision-making.
🛠️ How to Use:
Apply to any chart – Works on all timeframes and instruments.
Swing High/Low Detection:
Uses pivot logic with adjustable strength to find recent key turning points.
Displays shaded horizontal boxes for visual clarity.
Midpoint Line:
Automatically drawn between the last high and low.
Acts as the fair value level for identifying overbought/oversold zones.
Premium/Discount Zones:
Above midpoint = Premium (consider shorting).
Below midpoint = Discount (consider buying).
Structure Labels:
HH (Higher High), HL (Higher Low), LH (Lower High), LL (Lower Low).
Color-coded to reflect bullish or bearish trends.
BoS & CHoCH:
Structural breaks are labeled automatically to signal possible trend continuation or reversal.
⚙️ Settings:
🎯 Pivot Strength – Adjusts how far back/forward candles must confirm a swing.
✅ Toggle visibility of:
Swing Lines
Labels
BoS / CHoCH
Premium / Discount zones
🎨 Customize colors for each visual component.
🧠 Best Practices:
Use in combination with Order Blocks, Fair Value Gaps, or Volume Imbalances.
Ideal for traders applying Smart Money Concepts (SMC) with a structure-first mindset.
[NIC] Volatility Anomaly Indicator (Inspired by Jeff Augen)Volatility Anomaly Indicator (Inspired by Jeff Augen)
The Volatility Anomaly Indicator, inspired by Jeff Augen’s The Volatility Edge in Options Trading, helps traders spot price distortions by analyzing volatility imbalances. It compares short-term (10-day) and long-term (30-day) historical volatility (HV), plotting the ratio in a subgraph with clusters of dots to highlight anomalies—red for volatility spikes (potential sells) and green for calm periods (potential buys).
Originality: This indicator uniquely adapts Augen’s volatility concepts into a visual tool, focusing on relative volatility distortions rather than absolute levels, making it ideal for volatile assets like $TQQQ.
Features:
Calculates the ratio of short-term to long-term volatility.
Detects spikes (ratio > 1.5) and calm periods (ratio < 0.67) with customizable thresholds.
Plots volatility ratio as a blue line, with red/green dots for anomalies.
Includes optional buy/sell signals on the main chart (if overlay is enabled).
How It Works
The indicator computes historical volatility using log returns, then calculates the short-term to long-term volatility ratio. Spikes and calm periods are marked with dots in the subgraph, and threshold lines (1.5 and 0.67) provide context. Buy signals (green triangles) trigger during calm periods, and sell signals (red triangles) during spikes.
How to Use
Apply to any chart (e.g., NASDAQ:TQQQ daily).
Adjust inputs: Short Volatility Period (10), Long Volatility Period (30), Volatility Spike Threshold (1.5).
Watch for red dot clusters (spikes, potential sells) and green dot clusters (calm, potential buys).
Combine with price action or RSI for confirmation.
Why Use This Indicator?
Focuses on volatility-driven price inefficiencies.
Clear visualization with dot clusters.
Customizable for different assets and timeframes.
Limitations
Not a standalone system; requires confirmation.
May give false signals in choppy markets.
Fractal Wave MarkerFractal Wave Marker is an indicator that processes relative extremes of fluctuating prices within 2 periodical aspects. The special labeling system detects and visually marks multi-scale turning points, letting you visualize fractal echoes within unfolding cycles dynamically.
What This Indicator Does
Identifies major and minor swing highs/lows based on adjustable period.
Uses Phi in power exponent to compute a higher-degree swing filter.
Labels of higher degree appear only after confirmed base swings — no phantom levels, no hindsight bias. What you see is what the market has validated.
Swing points unfold in a structured, alternating rhythm . No two consecutive pivots share the same hierarchical degree!
Inspired by the Fractal Market Hypothesis, this script visualizes the principle that market behavior repeats across time scales, revealing structured narrative of "random walk". This inherent sequencing ensures fractal consistency across timeframes. "Fractal echoes" demonstrate how smaller price swings can proportionally mirror larger ones in both structure and timing, allowing traders to anticipate movements by recursive patterns. Cycle Transitions highlight critical inflection points where minor pivots flip polarity such as a series of lower highs progress into higher highs—signaling the birth of a new macro trend. A dense dense clusters of swing points can indicate Liquidity Zones, acting as footprints of institutional accumulation or distribution where price action validates supply and demand imbalances.
Visualization of nested cycles within macro trend anchors - a main feature specifically designed for the chartists who prioritize working with complex wave oscillations their analysis.
Advanced Liquidity Trap & Squeeze Detector [MazzaropiYoussef]DESCRIPTION:
The "Advanced Liquidity Trap & Squeeze Detector" is designed to identify potential liquidity traps, short and long squeezes, and market manipulation based on open interest, funding rates, and aggressive order flow.
KEY FEATURES:
- **Relative Open Interest Normalization**: Avoids scale discrepancies across different timeframes.
- **Liquidity Trap Detection**: Identifies potential bull and bear traps based on open interest and funding imbalances.
- **Squeeze Identification**: Highlights conditions where aggressive buyers or sellers are trapped before a reversal.
- **Volume Surge Confirmation**: Alerts when abnormal volume activity supports liquidity events.
- **Customizable Parameters**: Adjust thresholds to fine-tune detection sensitivity.
HOW IT WORKS:
- **Long Squeeze**: Triggered when relative open interest is high, funding is negative, and aggressive selling occurs.
- **Short Squeeze**: Triggered when relative open interest is high, funding is positive, and aggressive buying occurs.
- **Bull Trap**: Triggered when relative open interest is high, funding is positive, and price crosses above the trend line but fails.
- **Bear Trap**: Triggered when relative open interest is high, funding is negative, and price crosses below the trend line but fails.
USAGE:
- This indicator is useful for traders looking to anticipate reversals and avoid being caught in market manipulation events.
- Works best in combination with order book analysis and volume profile tools.
- Can be applied to crypto, forex, and other leveraged markets.
**/
Volume Volatility and Delta Indicator (HN)This Volume Volatility Indicator with Overall Average from Hossein.N helps you visualize the volatility of volume on different timeframes and compares it to the average volume over a given period. It includes several components:
Volume Volatility Indicator (Blue Line): This shows the volatility of volume relative to its moving average over a specified period. Higher values indicate more volatile trading conditions.
Long-Term Volatility Average (Orange Line): This line shows the moving average of the volume volatility indicator over a longer period. It acts as a benchmark for comparing the current volume volatility with historical trends.
Average Volume on Up Days (Green Line): Displays the average volume on days when the price is going up (green).
Average Volume on Down Days (Red Line): Displays the average volume on days when the price is going down (red).
Delta in Percentage (Blue Line): This shows the difference between the average volume of up days and down days, expressed as a percentage of the overall moving average of volume. It can be used to identify bullish or bearish volume imbalances. For example:
Positive values indicate that the volume on up days is stronger than on down days, which could suggest a bullish trend.
Negative values suggest that volume on down days is stronger than on up days, potentially indicating a bearish trend.
Zero Line (Gray Dotted Line): A reference line at 0 that helps you identify when the delta is positive or negative, and visualize the neutral point where volume is balanced between up and down days.
How to Use This Indicator:
Add to Your Chart: Copy the script above and paste it into TradingView's Pine Script editor. Click "Add to Chart" to visualize the indicator.
Interpret the Indicator:
Volume Volatility: A higher value suggests high market volatility. When volume is highly volatile, it may indicate more significant price movements or market uncertainty.
Long-Term Average of Volatility: Use this line as a reference to see whether current volatility is above or below average over a longer period.
Delta in Percentage: This is particularly useful to compare the strength of buying and selling volume. A positive delta percentage suggests strong buying pressure, while a negative delta suggests strong selling pressure. The closer the delta is to zero, the more balanced the volume between up and down days.
Use for Trend Confirmation: The indicator can help confirm trends. If the delta percentage is positive and increasing, and the volume volatility is above average, it could signal strong bullish momentum. Conversely, if the delta is negative and the volume volatility is rising, it may suggest bearish sentiment.
Risk Disclaimer:
Important: This indicator is a tool designed to help analyze market conditions. It does not guarantee success in trading and should not be used as the sole basis for making trading decisions. Always do your own research, consider other factors (e.g., price action, market news, fundamentals), and manage your risk appropriately. Trading involves significant risk, and you should only trade with money you can afford to lose. Always ensure you understand the risks involved in trading and use risk management strategies.
By using this tool, you accept full responsibility for any trading decisions and the outcomes thereof. The information presented is for educational and informational purposes only.
Volumatic Variable Index Dynamic Average [BigBeluga]The Volumatic VIDYA (Variable Index Dynamic Average) indicator is a trend-following tool that calculates and visualizes both the current trend and the corresponding buy and sell pressure within each trend phase. Using the Variable Index Dynamic Average as the core smoothing technique, this indicator also plots volume levels of lows and highs based on market structure pivot points, providing traders with key insights into price and volume dynamics.
Additionally, it generates delta volume values to help traders evaluate buy-sell pressure balance during each trend, making it a powerful tool for understanding market sentiment shifts.
BTC:
TSLA:
🔵 IDEA
The Volumatic VIDYA indicator's core idea is to provide a dynamic, adaptive smoothing tool that identifies trends while simultaneously calculating the volume pressure behind them. The VIDYA line, based on the Variable Index Dynamic Average, adjusts according to the strength of the price movements, offering a more adaptive response to the market compared to standard moving averages.
By calculating and displaying the buy and sell volume pressure throughout each trend, the indicator provides traders with key insights into market participation. The horizontal lines drawn from the highs and lows of market structure pivots give additional clarity on support and resistance levels, backed by average volume at these points. This dual analysis of trend and volume allows traders to evaluate the strength and potential of market movements more effectively.
🔵 KEY FEATURES & USAGE
VIDYA Calculation:
The Variable Index Dynamic Average (VIDYA) is a special type of moving average that adjusts dynamically to the market’s volatility and momentum. Unlike traditional moving averages that use fixed periods, VIDYA adjusts its smoothing factor based on the relative strength of the price movements, using the Chande Momentum Oscillator (CMO) to capture the magnitude of price changes. When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages such as the Simple Moving Average (SMA) or the Exponential Moving Average (EMA), which are less flexible.
// VIDYA (Variable Index Dynamic Average) function
vidya_calc(src, vidya_length, vidya_momentum) =>
float momentum = ta.change(src)
float sum_pos_momentum = math.sum((momentum >= 0) ? momentum : 0.0, vidya_momentum)
float sum_neg_momentum = math.sum((momentum >= 0) ? 0.0 : -momentum, vidya_momentum)
float abs_cmo = math.abs(100 * (sum_pos_momentum - sum_neg_momentum) / (sum_pos_momentum + sum_neg_momentum))
float alpha = 2 / (vidya_length + 1)
var float vidya_value = 0.0
vidya_value := alpha * abs_cmo / 100 * src + (1 - alpha * abs_cmo / 100) * nz(vidya_value )
ta.sma(vidya_value, 15)
When momentum is strong, VIDYA adapts and smooths out price movements quicker, making it more responsive to rapid price changes. This makes VIDYA more adaptable to volatile markets compared to traditional moving averages
Triangle Trend Shift Signals:
The indicator marks trend shifts with up and down triangles, signaling a potential change in direction. These signals appear when the price crosses above a VIDYA during an uptrend or crosses below during a downtrend.
Volume Pressure Calculation:
The Volumatic VIDYA tracks the buy and sell pressure during each trend, calculating the cumulative volume for up and down bars. Positive delta volume occurs during uptrends due to higher buy pressure, while negative delta volume reflects higher sell pressure during downtrends. The delta is displayed in real-time on the chart, offering a quick view of volume imbalances.
Market Structure Pivot Lines with Volume Labels:
The indicator draws horizontal lines based on market structure pivots, which are calculated using the highs and lows of price action. These lines are extended on the chart until price crosses them. The indicator also plots the average volume over a 6-bar range to provide a clearer understanding of volume dynamics at critical points.
🔵 CUSTOMIZATION
VIDYA Length & Momentum: Control the sensitivity of the VIDYA line by adjusting the length and momentum settings, allowing traders to customize the smoothing effect to match their trading style.
Volume Pivot Detection: Set the number of bars to consider for identifying pivots, which influences the calculation of the average volume at key levels.
Band Distance: Adjust the band distance multiplier for controlling how far the upper and lower bands extend from the VIDYA line, based on the ATR (Average True Range).
ICT CheckListCredit to the owner of this script "TalesOfTrader"
The Awakening Checklist indicator is a tool designed to help traders evaluate certain key market conditions and elements before making trading decisions. It consists of a series of questions that the trader must answer using the options "Yes", "No" or "N/A" (not applicable).
“Has Asia Session ended?” : This question aims to determine if the Asian trading session has ended. The answer to this question can influence trading strategies depending on market conditions.
“Have you identified potential medium induction?” : This question concerns the identification of potential average inductions on the market. Recognizing these inductions can help traders anticipate future price movements.
"Have you identified potential PoI's": This question asks about the identification of potential points of interest on the market. These points of interest can indicate areas of significant support or resistance.
"Have you identified in which direction they are creating lQ?" : This question aims to determine in which direction market participants create liquidity (lQ). Understanding this dynamic can help make informed trade decisions.
“Have they induced Asia Range”: This question concerns the induction of the Asian range by market participants. Recognizing this induction can be important in assessing future price movements.
“Have you had a medium induction”: This question asks about the presence of a medium induction on the market. The answer to this question can influence trading prospects.
“Do you have a BoS away from the induction”: This question aims to find out if the trader has an offer (BoS) far from the identified induction. This can be a risk management strategy.
"Doas your induction PoI have imbalance": This question concerns the imbalance of points of interest (PoI) linked to induction. Recognizing this imbalance can help anticipate price movements.
“Do you have a valid target in mind”: This question aims to find out if the trader has a clear trading objective in mind. Having a goal can help guide trading decisions and manage risk.
LIT - Awakening CheckList v.1The Awakening Checklist indicator is a tool designed to help traders evaluate certain key market conditions and elements before making trading decisions. It consists of a series of questions that the trader must answer using the options "Yes", "No" or "N/A" (not applicable).
“Has Asia Session ended?” : This question aims to determine if the Asian trading session has ended. The answer to this question can influence trading strategies depending on market conditions.
“Have you identified potential medium induction?” : This question concerns the identification of potential average inductions on the market. Recognizing these inductions can help traders anticipate future price movements.
"Have you identified potential PoI's": This question asks about the identification of potential points of interest on the market. These points of interest can indicate areas of significant support or resistance.
"Have you identified in which direction they are creating lQ?" : This question aims to determine in which direction market participants create liquidity (lQ). Understanding this dynamic can help make informed trade decisions.
“Have they induced Asia Range”: This question concerns the induction of the Asian range by market participants. Recognizing this induction can be important in assessing future price movements.
“Have you had a medium induction”: This question asks about the presence of a medium induction on the market. The answer to this question can influence trading prospects.
“Do you have a BoS away from the induction”: This question aims to find out if the trader has an offer (BoS) far from the identified induction. This can be a risk management strategy.
"Doas your induction PoI have imbalance": This question concerns the imbalance of points of interest (PoI) linked to induction. Recognizing this imbalance can help anticipate price movements.
“Do you have a valid target in mind”: This question aims to find out if the trader has a clear trading objective in mind. Having a goal can help guide trading decisions and manage risk.
Release Notes
The Awakening Checklist indicator is a tool designed to help traders evaluate certain key market conditions and elements before making trading decisions. It consists of a series of questions that the trader must answer using the options "Yes", "No" or "N/A" (not applicable).
Awakening CHECHLISTThe Awakening Checklist indicator is a tool designed to help traders evaluate certain key market conditions and elements before making trading decisions. It consists of a series of questions that the trader must answer using the options "Yes", "No" or "N/A" (not applicable).
“Has Asia Session ended?” : This question aims to determine if the Asian trading session has ended. The answer to this question can influence trading strategies depending on market conditions.
“Have you identified potential medium induction?” : This question concerns the identification of potential average inductions on the market. Recognizing these inductions can help traders anticipate future price movements.
"Have you identified potential PoI's": This question asks about the identification of potential points of interest on the market. These points of interest can indicate areas of significant support or resistance.
"Have you identified in which direction they are creating lQ?" : This question aims to determine in which direction market participants create liquidity (lQ). Understanding this dynamic can help make informed trade decisions.
“Have they induced Asia Range”: This question concerns the induction of the Asian range by market participants. Recognizing this induction can be important in assessing future price movements.
“Have you had a medium induction”: This question asks about the presence of a medium induction on the market. The answer to this question can influence trading prospects.
“Do you have a BoS away from the induction”: This question aims to find out if the trader has an offer (BoS) far from the identified induction. This can be a risk management strategy.
"Doas your induction PoI have imbalance": This question concerns the imbalance of points of interest (PoI) linked to induction. Recognizing this imbalance can help anticipate price movements.
“Do you have a valid target in mind”: This question aims to find out if the trader has a clear trading objective in mind. Having a goal can help guide trading decisions and manage risk.
LIT - TimingIntroduction
This Script displays the Asia Session Range, the London Open Inducement Window, the NY Open Inducement Window, the Previous Week's high and low, the Previous Day's highs and lows, and the Day Open price in the cleanest way possible.
Description
The Indicator is based on UTC -7 timing but displays the Session Boxes automatically correct at your chart so you do not have to adjust any timings based on your Time Zone and don't have to do any calculations based on your UTC. It is already perfect.
You will see on default settings the purple Asia Box and 2 grey boxes, the first one is for the London Open Inducement Window (1 hour) and the second grey box is for the NY Open Inducement Window (also 1 hour)
Asia Range comes with default settings with the Asia Range high, low, and midline, you can remove these 3 lines in the settings "style" and untick the "Lines" box, that way you only will have the boxes displayed.
Special Feature
Most Timing-based Indicators have "bugged" boxes or don't show clean boxes at all and don't adjust at daylight savings times, we made sure that everything automatically gets adjusted so you don't have to! So the timings will always display at the correct time regarding the daylight savings times.
Combining Timing with Liquidity Zones the right way and in a clear, clean, and simple format.
Different than others this script also shows the "true" Asia range as it respects the "day open gap" which affects the Asia range in other scripts and it also covers the full 8 hours of Asia Session.
Additions
You can add in the settings menu the last week's high and low, the previous day's high and low, and also the day's open price by ticking the boxes in the settings menu
All colors of the boxes are fully adjustable and customizable for your personal preferences. Same for the previous weeks and day highs and lows. Just go to "Style" and you can adjust the Line types or colors to your preferred choice.
Recommended Use
The most beautiful display is on the M5 Timeframe as you have a clear overview of all sessions without losing the intraday view. You can also use it on the M1 for more details or the M15 for the bigger picture. The Template can hide on higher time frames starting from the H1 to not flood your chart with boxes.
How to use the Asia Session Range Box
Use the Asia Range Box as your intraday Guide, keep in mind that a Breakout of Asia high or low induces Liquidity and a common price behavior is a reversal after the fake breakout of that range.
How to use the London Open and NY Open Inducement Windows
Both grey boxes highlight the Open of either London Open or NY Open and you should keep an eye out for potential Liquditiy Graps or Mitigations during that times as this is when they introduce major Liquidity for the regarding Session.
How to use the Asia high, low and midline and day open price
After Asia Range got taken out in one direction, often price comes back to those levels to mitigate or bounce off, so you can imagine those zones as support and resistance on some occasions, recommended in combination with Imbalances.
How to use the previous day and week's highs and lows
Once added in the settings, you can display those price levels, you can use them either as Liquidity Targets or as Inducement Levels once they are taken out.
Enjoy!
AG FX - INSTITUTIONAL ORDER BLOCKSThis Indicator will help you to find some potential bullish and bearish block.
This indicator, only provides just the the potentials ORDER BLOCKS followed by imbalances.
Forms of using this indicator:
- Plotting the ORDER BLOCKS CANDLES with the color that you prefer
- Plotting the zones given with the ORDER BLOCKS
- Both of them
Indicator Parameters:
- Customizable Candles colors
- Customizable Boxes colors
- Customizable amount of boxes displayed
PD: I just prefer the first one so i can get a clean chart, but it´s up to you.
Inner Circle Trader Institutional ORDER BLOCKS FOREX Theory
Today we are talking about the infamous ORDER BLOCKS by ICT forex trading Strategy. Order Blocks have proven to be a very effective tool in trading as they allow traders to gain high reward with low risk trades.
What is an Order Block? - The Order Block is a specific price range or candle where institutions will be buying or selling against the retail trend/dump money.
Institutions leave order blocks for themselves to trade at a later stage. They will reverse the price to a previous order and then driving the price hard in the direction of the trend (The real institutional trend).
These order blocks we can also call them specific levels of either going Long or Short. If an order block is violated or broken, it now qualifies as a Breaker, meaning Price will retest back to that order block. Sometimes we call it a failed order block.
Types of OBs:
i. Bullish Order Block (BUB)
ii. Bearish Order Block (BEB)
IU Liquidity Flow TrackerDESCRIPTION
The IU Liquidity Flow Tracker is a powerful market analysis tool designed to visualize hidden buying and selling activity by analyzing price action, volume behavior, market pressure, and depth. It provides a composite view of liquidity dynamics to help traders identify accumulation, distribution, and neutral phases with high clarity.
This indicator is ideal for traders who want to gauge the flow of market participants and make informed entry/exit decisions based on the underlying liquidity structure.
USER INPUTS:
* Flow Analysis Period: Length used for analyzing price spread and volume flow.
* Pressure Sensitivity: Adjusts the sensitivity of threshold detection for flow classification.
* Flow Smoothing: Controls the smoothing applied to raw flow data.
* Market Depth Analysis: Sets the depth range for rejection and wick analysis.
* Colors: Customize colors for accumulation, distribution, neutral zones, and pressure visualization.
INDICATOR LOGIC:
The IU Liquidity Flow Tracker uses a multi-factor model to evaluate market behavior:
1. Liquidity Pressure: Combines price spread, price efficiency, and volume imbalance.
2. Flow Direction: Weighted momentum using short, medium, and long-term price changes adjusted for volume.
3. Market Depth: Wick-based rejection scoring to estimate buying/selling aggressiveness at price extremes.
4. Composite Flow Index: Blended value of flow direction, pressure, and depth—smoothed for clarity.
5. Dynamic Thresholds: Automatically adjusts based on volatility to classify the market into:
* Accumulation: Strong buying signals.
* Distribution: Strong selling signals.
* Neutral: No significant flow dominance.
6. Entry Signals: Long/Short signals are generated when flow state shifts, supported by momentum, volume surge, and depth strength.
WHY IT IS UNIQUE:
Unlike typical indicators that rely solely on price or volume, this tool combines spread behavior, volume polarity, momentum weighting, and price rejection zones into a single visual interface. It dynamically adjusts sensitivity based on market volatility, helping avoid false signals during sideways or low-volume periods.
It is not based on any traditional indicator (RSI, MACD, etc.), making it ideal for traders looking for an original and data-driven market read.
HOW USER CAN BENEFIT FROM IT:
* Understand Market Context: Know whether the market is being accumulated, distributed, or ranging.
* Improve Entries/Exits: Use flow transitions combined with volume confirmation for high-probability setups.
* Spot Institutional Activity: Detect subtle shifts in liquidity that precede major price moves.
* Reduce Whipsaws: Dynamic thresholds and multi-factor confirmation help filter noise.
* Use with Any Style: Whether you're a swing trader, day trader, or scalper, this tool adapts to different timeframes and strategies.
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
Demand Index (Hybrid Sibbet) by TradeQUODemand Index (Hybrid Sibbet) by TradeQUO \
\Overview\
The Demand Index (DI) was introduced by James Sibbet in the early 1990s to gauge “real” buying versus selling pressure by combining price‐change information with volume intensity. Unlike pure price‐based oscillators (e.g. RSI or MACD), the DI highlights moves backed by above‐average volume—helping traders distinguish genuine demand/supply from false breakouts or low‐liquidity noise.
\Calculation\
\
\ \Step 1: Weighted Price (P)\
For each bar t, compute a weighted price:
```
Pₜ = Hₜ + Lₜ + 2·Cₜ
```
where Hₜ=High, Lₜ=Low, Cₜ=Close of bar t.
Also compute Pₜ₋₁ for the prior bar.
\ \Step 2: Raw Range (R)\
Calculate the two‐bar range:
```
Rₜ = max(Hₜ, Hₜ₋₁) – min(Lₜ, Lₜ₋₁)
```
This Rₜ is used indirectly in the exponential dampener below.
\ \Step 3: Normalize Volume (VolNorm)\
Compute an EMA of volume over n₁ bars (e.g. n₁=13):
```
EMA_Volₜ = EMA(Volume, n₁)ₜ
```
Then
```
VolNormₜ = Volumeₜ / EMA_Volₜ
```
If EMA\_Volₜ ≈ 0, set VolNormₜ to a small default (e.g. 0.0001) to avoid division‐by‐zero.
\ \Step 4: BuyPower vs. SellPower\
Calculate “raw” BuyPowerₜ and SellPowerₜ depending on whether Pₜ > Pₜ₋₁ (bullish) or Pₜ < Pₜ₋₁ (bearish). Use an exponential dampener factor Dₜ to moderate extreme moves when true range is small. Specifically:
• If Pₜ > Pₜ₋₁,
```
BuyPowerₜ = (VolNormₜ) / exp
```
otherwise
```
BuyPowerₜ = VolNormₜ.
```
• If Pₜ < Pₜ₋₁,
```
SellPowerₜ = (VolNormₜ) / exp
```
otherwise
```
SellPowerₜ = VolNormₜ.
```
Here, H₀ and L₀ are the very first bar’s High/Low—used to calibrate the scale of the dampening. If the denominator of the exponential is near zero, substitute a small epsilon (e.g. 1e-10).
\ \Step 5: Smooth Buy/Sell Power\
Apply a short EMA (n₂ bars, typically n₂=2) to each:
```
EMA_Buyₜ = EMA(BuyPower, n₂)ₜ
EMA_Sellₜ = EMA(SellPower, n₂)ₜ
```
\ \Step 6: Raw Demand Index (DI\_raw)\
```
DI_rawₜ = EMA_Buyₜ – EMA_Sellₜ
```
A positive DI\_raw indicates that buying force (normalized by volume) exceeds selling force; a negative value indicates the opposite.
\ \Step 7: Optional EMA Smoothing on DI (DI)\
To reduce choppiness, compute an EMA over DI\_raw (n₃ bars, e.g. n₃ = 1–5):
```
DIₜ = EMA(DI_raw, n₃)ₜ.
```
If n₃ = 1, DI = DI\_raw (no further smoothing).
\
\Interpretation\
\
\ \Crossing Zero Line\
• DI\_raw (or DI) crossing from below to above zero signals that cumulative buying pressure (over the chosen smoothing window) has overcome selling pressure—potential Long signal.
• Crossing from above to below zero signals dominant selling pressure—potential Short signal.
\ \DI\_raw vs. DI (EMA)\
• When DI\_raw > DI (the EMA of DI\_raw), bullish momentum is accelerating.
• When DI\_raw < DI, bullish momentum is weakening (or bearish acceleration).
\ \Divergences\
• If price makes new highs while DI fails to make higher highs (DI\_raw or DI declining), this hints at weakening buying power (“bearish divergence”), possibly preceding a reversal.
• If price makes new lows while DI fails to make lower lows (“bullish divergence”), this may signal waning selling pressure and a potential bounce.
\ \Volume Confirmation\
• A strong price move without a corresponding rise in DI often indicates low‐volume “fake” moves.
• Conversely, a modest price move with a large DI spike suggests true institutional participation—often a more reliable breakout.
\
\Usage Notes & Warnings\
\
\ \Never Use DI in Isolation\
It is a \filter\ and \confirmation\ tool—combine with price‐action (trendlines, support/resistance, candlestick patterns) and risk management (stop‐losses) before executing trades.
\ \Parameter Selection\
• \Vol EMA length (n₁)\: Commonly 13–20 bars. Shorter → more responsive to volume spikes, but noisier.
• \Buy/Sell EMA length (n₂)\: Typically 2 bars for fast smoothing.
• \DI smoothing (n₃)\: Usually 1 (no smoothing) or 3–5 for moderate smoothing. Long DI\_EMA (e.g. 20–50) gives a slower signal.
\ \Market Adaptation\
Works well in liquid futures, indices, and heavily traded stocks. In thinly traded or highly erratic markets, adjust n₁ upward (e.g., 20–30) to reduce noise.
---
\In Summary\
The Demand Index (James Sibbet) uses a three‐stage smoothing (volume → Buy/Sell Power → DI) to reveal true demand/supply imbalance. By combining normalized volume with price change, Sibbet’s DI helps traders identify momentum backed by real participation—filtering out “empty” moves and spotting early divergences. Always confirm DI signals with price action and sound risk controls before trading.
Volume Range Profile with Fair Value (Zeiierman)█ Overview
The Volume Range Profile with Fair Value (Zeiierman) is a precision-built volume-mapping tool designed to help traders visualize where institutional-level activity is occurring within the price range — and how that volume behavior shifts over time.
Unlike traditional volume profiles that rely on fixed session boundaries or static anchors, this tool dynamically calculates and displays volume zones across both the upper and lower ends of a price range, revealing point-of-control (POC) levels, directional volume flow, and a fair value drift line that updates live with each candle.
You’re not just looking at volume anymore. You’re dissecting who’s in control — and at what price.
⚪ In simple terms:
Upper Zone = The upper portion of the price range, showing concentrated volume activity — typically where selling or distribution may occur
Lower Zone = The lower portion of the price range, highlighting areas of high volume — often associated with buying or accumulation
POC Bin = The bin (price level) with the highest traded volume in the zone — considered the most accepted price by the market
Fair Value Trend = A dynamic trend line tracking the average POC price over time — visualizing the evolving fair value
Zone Labels = Display real-time breakdown of buy/sell volume within each zone and inside the POC — revealing who’s in control
█ How It Works
⚪ Volume Zones
Upper Zone: Anchored at the highest high in the lookback period
Lower Zone: Anchored at the lowest low in the lookback period
Width is user-defined via % of range
Each zone is divided into a series of volume bins
⚪ Volume Bins (Histograms)
Each zone is split into N bins that show how much volume occurred at each level:
Taller = More volume
The POC bin (Point of Control) is highlighted
Labels show % of volume in the POC relative to the whole zone
⚪ Buy vs Sell Breakdown
Each volume bin is split by:
Buy Volume = Close ≥ Open
Sell Volume = Close < Open
The script accumulates these and displays total Buy/Sell volume per zone.
⚪ Fair Value Drift Line
A POC trend is plotted over time:
Represents where volume was most active across each range
Color changes dynamically — green for rising, red for falling
Serves as a real-time fair value anchor across changing market structure
█ How to Use
⚪ Identify Key Control Zones
Use Upper/Lower Zone structures to understand where supply and demand is building.
Zones automatically adapt to recent highs/lows and re-center volume accordingly.
⚪ Follow Institutional Activity
Watch for POC clustering near price tops or bottoms.
Large volumes near extremes may indicate accumulation or distribution.
⚪ Spot Fair Value Drift
The fair value trend line (average POC price) gives insight into market equilibrium.
One strategy can be to trade a re-test of the fair value trend, trades are taken in the direction of the current trend.
█ Understanding Buy & Sell Volume Labels (Zone Totals)
These labels show the total buy and sell volume accumulated within each zone over the selected lookback period:
Buy Vol (green label) → Total volume where candles closed bullish
Sell Vol (red label) → Total volume where candles closed bearish
Together, they tell you which side dominated:
Higher Buy Vol → Bullish accumulation zone
Higher Sell Vol → Bearish distribution zone
This gives a quick visual insight into who controlled the zone, helping you spot areas of demand or supply imbalance.
█ Understanding POC Volume Labels
The POC (Point of Control) represents the price level where the most volume occurred within the zone. These labels break down that volume into:
Buy % – How much of the volume was buying (price closed up)
Sell % – How much was selling (price closed down)
Total % – How much of the entire zone’s volume happened at the POC
Use it to spot strong demand or supply zones:
High Buy % + High Total % → Strong buying interest = likely support
High Sell % + High Total % → Strong selling pressure = likely resistance
It gives a deeper look into who was in control at the most important price level.
█ Why It’s Useful
Track where fair value is truly forming
Detect aggressive volume accumulation or dumping
Visually split buyer/seller control at the most relevant price levels
Adapt volume structures to current trend direction
█ Settings Explained
Lookback Period: Number of bars to scan for highs/lows. Higher = smoother zones, Lower = reactive.
Zone Width (% of Range): Controls how much of the range is used to define each zone. Higher = broader zones.
Bins per Zone: Number of volume slices per zone. Higher = more detail, but heavier on resources.
-----------------
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.
Money Flow Pulse💸 In markets where volatility is cheap and structure is noisy, what matters most isn’t just the move — it’s the effort behind it. Money Flow Pulse (MFP) offers a compact, color-coded readout of real-time conviction by scoring volume-weighted price action on a five-tier scale. It doesn’t try to predict reversals or validate trends. Instead, it reveals the quality of the move in progress: is it fading , driving , exhausting , or hollow ?
🎨 MFP draws from the traditional Money Flow Index (MFI), a volume-enhanced momentum oscillator, but transforms it into a modular “pressure readout” that fits seamlessly into any structural overlay. Rather than oscillating between extremes with little interpretive guidance, MFP discretizes the flow into clean, color-coded regimes ranging from strong inflow (+2) to strong outflow (–2). The result is a responsive diagnostic layer that complements, rather than competes with, tools like ATR and/or On-Balance Volume.
5️⃣ MFP uses a normalized MFI value smoothed over 13 periods and classified into a 5-tier readout of Volume-Driven Conviction :
🍆 Exhaustion Inflow — usually a top or blowoff; not strength, but overdrive (+2)
🥝 Active Inflow — supportive of trend continuation (+1)
🍋 Neutral — chop, coil, or fakeouts (0)
🍑 Selling Intent — weakening structure, possible fade setups (-1)
🍆 Exhaustion Outflow — often signals forced selling or accumulation traps (-2)
🎭 These tiers are not arbitrary. Each one is tuned to reflect real capital behavior across timeframes. For instance, while +1 may support continuation, +2 often precedes exhaustion — especially on the lower timeframes. Similarly, a –1 reading during a pullback suggests sell-side pressure is building, but a shift to –2 may mean capitulation is already underway. The difference between the two can define whether a move is tradable continuation or strategic exhaustion .
🌊 The MFI ROC (Rate of Change) feature can be toggled to become a volatility-aware pulse monitor beneath the derived MFI tier. Instead of scoring direction or structure, ROC reveals how fast conviction is changing — not just where it’s headed, but how hard it's accelerating or decaying. It measures the raw Δ between the current and previous MFI values, exposing bursts of energy, fading pressure, or transitional churn .
🎢 Visually, ROC appears as a low-opacity area fill, anchored to a shared lemon-yellow zero line. When the green swell rises, buying pressure is accelerating; when the red drops, flow is actively deteriorating. A subtle bump may signal early interest — while a steep wave hints at an emotional overreaction. The ROC value itself provides numeric insight alongside the raw MFI score. A reading of +3.50 implies strong upside momentum in the flow — often supporting trend ignition. A score of –6.00 suggests rapid deceleration or full exhaustion — often preceding reversals or failed breakouts.
・ MFI shows you where the flow is
・ ROC tells you how it’s behaving
😎 This blend reveals not just structure or intent — but also urgency . And in flow-based trading, urgency often precedes outcome.
🧩 Divergence isn’t delay — it’s disagreement . One of the most revealing features of MFP is how it exposes momentum dissonance — situations where price and flow part ways. These divergences often front-run pivots , traps , or velocity stalls . Unlike RSI-style divergence, which whispers of exhaustion, MFI divergence signals a breakdown in conviction. The structure may extend — but the effort isn’t there.
・ Price ▲ MFI ▼ → Effortless Markup : Often signals distribution or a grind into liquidity. Without rising MFI, the rally lacks true flow participation — a warning of fragility.
・ Price ▼ MFI ▲ → Absorption or Early Accumulation : Price breaks down, but money keeps flowing in — a hidden bid. Watch for MFI tier shifts or ROC bursts to confirm a reversal.
🏄♂️ These moments don’t require signal overlays or setup hunting. MFP narrates the imbalance. When price breaks structure but flow does not — or vice versa — you’re not seeing trend, you’re seeing disagreement, and that's where edge begins.
💤 MFP is especially effective on intraday charts where volume dislocations matter most. On the 1H or 15m chart, it helps distinguish between breakouts with conviction versus those lacking flow. On higher timeframes, its resolution softens — it becomes more of a drift indicator than a trigger device. That’s by design: MFP prioritizes pulse, not position. It’s not the fire, it’s the heat.
📎 Use MFP in confluence with structural overlays to validate price behavior. A ribbon expansion with rising MFP is real. A compression breakout without +1 flow is "fishy". Watch how MFP behaves near key zones like anchored VWAP, MAs or accumulation pivots. When MFP rises into a +2 and fails to sustain, the reversal isn’t just technical — it’s flow-based.
🪟 MFP doesn’t speak loudly, but it never whispers without reason. It’s the pulse check before action — the breath of the move before the breakout. While it stays visually minimal on the chart, the true power is in the often overlooked Data Window, where traders can read and interpret the score in real time. Once internalized, these values give structure-aware traders a framework for conviction, continuation, or caution.
🛜 MFP doesn’t chase momentum — it confirms conviction. And in markets defined by noise, that signal isn’t just helpful — it’s foundational.
FVG Visual Trading ToolHow to Use the FVG Tool
1. Identify the FVG Zone
Bullish FVG: Look for green boxes that represent potential support zones. These are areas where price is likely to retrace before continuing upward.
Bearish FVG: Look for red boxes that represent potential resistance zones. These are areas where price is likely to retrace before continuing downward.
2. Set Up Your Trade
Entry: Place a limit order at the retracement zone (inside the FVG box). This ensures you enter the trade when the price retraces into the imbalance.
Stop-Loss (SL): Place your stop-loss just below the FVG box for bullish trades or just above the FVG box for bearish trades. The tool provides a suggested SL level.
Take-Profit (TP): Set your take-profit level at a 2:1 risk-reward ratio (or higher). The tool provides a suggested target level.
3. Let the Trade Run
Once your trade is set up, let it play out. Avoid micromanaging the trade unless market conditions change drastically.
Step-by-Step Example
Bullish FVG Trade
Identify the FVG:
A green box appears, indicating a bullish FVG.
The tool provides the target price (e.g., 0.6371) and the stop-loss level (e.g., 0.6339).
Set Up the Trade:
Place a limit buy order at the retracement zone (inside the green box).
Set your stop-loss just below the FVG box (e.g., 0.6339).
Set your take-profit at a 2:1 risk-reward ratio or the suggested target (e.g., 0.6371).
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Bearish FVG Trade
Identify the FVG:
A red box appears, indicating a bearish FVG.
The tool provides the target price and the stop-loss level.
Set Up the Trade:
Place a limit sell order at the retracement zone (inside the red box).
Set your stop-loss just above the FVG box.
Set your take-profit at a 2:1 risk-reward ratio or the suggested target.
Monitor the Trade:
Wait for the price to retrace into the FVG zone and trigger your limit order.
Let the trade run until it hits the take-profit or stop-loss.
Key Features of the Tool in Action
Visual Clarity:
The green and red boxes clearly show the FVG zones, making it easy to identify potential trade setups.
Labels provide the target price and stop-loss level for quick decision-making.
Risk-Reward Management:
The tool encourages disciplined trading by providing predefined SL and TP levels.
A 2:1 risk-reward ratio ensures that profitable trades outweigh losses.
Hands-Off Execution:
By placing limit orders, you can let the trade execute automatically without needing to monitor the market constantly.
Best Practices
Trade in the Direction of the Trend:
Use higher timeframes (e.g., 4-hour or daily) to identify the overall trend.
Focus on bullish FVGs in an uptrend and bearish FVGs in a downtrend.
Combine with Confirmation Signals:
Look for additional confirmation, such as candlestick patterns (e.g., engulfing candles) or indicator signals (e.g., RSI, MACD).
Adjust Parameters for Volatility:
For highly volatile markets, consider increasing the stop-loss percentage to avoid being stopped out prematurely.
Avoid Overtrading:
Not every FVG is a good trading opportunity. Be selective and only trade setups that align with your strategy.
Backtest and Optimize:
Use historical data to test the tool and refine your approach before trading live.
Common Mistakes to Avoid
Entering Without Confirmation:
Wait for price to retrace into the FVG zone before entering a trade.
Avoid chasing trades that have already moved away from the zone.
Ignoring Risk Management:
Always use a stop-loss to protect your account.
Stick to a consistent risk-reward ratio.
Trading Against the Trend:
Avoid taking trades that go against the prevailing market trend unless there is strong evidence of a reversal.
Final Thoughts
The FVG Visual Trading Tool is a powerful aid for identifying high-probability trade setups. By following the steps outlined above, you can use the tool to trade with confidence and discipline. Remember, no tool guarantees success, so always combine it with sound trading principles and proper risk management
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
Balance of Power [SYNC & TRADE]Balance of Power
Overview
This indicator analyzes the balance of power between buyers and sellers in the market. It uses volume, price action and the relative strength index (RSI) to determine the strength of buyers and sellers, as well as to identify potential zones where one side dominates the other.
How it works
The indicator calculates the average volume over a specified period.
It determines the strength of each bar, taking into account volume and price action.
RSI is used as an additional factor to assess the strength of the trend.
Based on these factors, the "balance of power" between buyers and sellers is calculated.
When the balance of power exceeds a specified threshold, the indicator marks the beginning of the "buyer zone" or "seller zone".
How to use
Add the indicator to your chart in TradingView.
Configure the input parameters:
"Period for average volume": determines the sensitivity to volume changes.
"RSI period": affects the sensitivity of the RSI to price changes.
"Strength threshold": sets the level for determining a significant imbalance.
"Table Size": select the appropriate size of the information table.
Observe the signals on the chart:
Blue triangle up: the beginning of the buyer zone.
Red triangle down: the beginning of the seller zone.
Use the information table to get additional data:
Current balance of power
Buyers or sellers have strength
Current RSI value
Advantages
Comprehensive analysis of market conditions
Visual signals for potential entry points
Customizable parameters to adapt to different trading styles
Informative table for quick analysis of the current situation
Limitations
Like any indicator, it can give false signals
Requires additional analysis and confirmation with other tools
Efficiency may vary depending on market conditions
Recommendations
Use this indicator in combination with other analysis methods to make trading decisions. Experiment with the settings to optimize for your trading style and selected assets.
Balance of Power Ru
Обзор
Этот индикатор анализирует баланс сил между покупателями и продавцами на рынке. Он использует объем, ценовое движение и индекс относительной силы (RSI) для определения силы покупателей и продавцов, а также для выявления потенциальных зон, где одна сторона доминирует над другой.
Как это работает
Индикатор рассчитывает среднее значение объема за указанный период.
Он определяет силу каждого бара, учитывая объем и ценовое движение.
RSI используется как дополнительный фактор для оценки силы тренда.
На основе этих факторов вычисляется "баланс сил" между покупателями и продавцами.
Когда баланс сил превышает заданный порог, индикатор отмечает начало "зоны покупателей" или "зоны продавцов".
Как использовать
Добавьте индикатор на ваш график в TradingView.
Настройте входные параметры:
"Период для среднего объема": определяет чувствительность к изменениям объема.
"Период RSI": влияет на чувствительность RSI к ценовым изменениям.
"Порог силы": устанавливает уровень для определения значимого дисбаланса.
"Размер таблицы": выберите подходящий размер информационной таблицы.
Наблюдайте за сигналами на графике:
Синий треугольник вверх: начало зоны покупателей.
Красный треугольник вниз: начало зоны продавцов.
Используйте информационную таблицу для получения дополнительных данных:
Текущий баланс сил
Наличие силы у покупателей или продавцов
Текущее значение RSI
Преимущества
Комплексный анализ рыночных условий
Визуальные сигналы для потенциальных точек входа
Настраиваемые параметры для адаптации к разным торговым стилям
Информативная таблица для быстрого анализа текущей ситуации
Ограничения
Как и любой индикатор, может давать ложные сигналы
Требует дополнительного анализа и подтверждения другими инструментами
Эффективность может варьироваться в зависимости от рыночных условий
Рекомендации
Используйте этот индикатор в сочетании с другими методами анализа для принятия торговых решений. Экспериментируйте с настройками для оптимизации под ваш торговый стиль и выбранные активы.
Bitcoin Power Law Oscillator [InvestorUnknown]The Bitcoin Power Law Oscillator is a specialized tool designed for long-term mean-reversion analysis of Bitcoin's price relative to a theoretical midline derived from the Bitcoin Power Law model (made by capriole_charles). This oscillator helps investors identify whether Bitcoin is currently overbought, oversold, or near its fair value according to this mathematical model.
Key Features:
Power Law Model Integration: The oscillator is based on the midline of the Bitcoin Power Law, which is calculated using regression coefficients (A and B) applied to the logarithm of the number of days since Bitcoin’s inception. This midline represents a theoretical fair value for Bitcoin over time.
Midline Distance Calculation: The distance between Bitcoin’s current price and the Power Law midline is computed as a percentage, indicating how far above or below the price is from this theoretical value.
float a = input.float (-16.98212206, 'Regression Coef. A', group = "Power Law Settings")
float b = input.float (5.83430649, 'Regression Coef. B', group = "Power Law Settings")
normalization_start_date = timestamp(2011,1,1)
calculation_start_date = time == timestamp(2010, 7, 19, 0, 0) // First BLX Bitcoin Date
int days_since = request.security('BNC:BLX', 'D', ta.barssince(calculation_start_date))
bar() =>
= request.security('BNC:BLX', 'D', bar())
int offset = 564 // days between 2009/1/1 and "calculation_start_date"
int days = days_since + offset
float e = a + b * math.log10(days)
float y = math.pow(10, e)
float midline_distance = math.round((y / btc_close - 1.0) * 100)
Oscillator Normalization: The raw distance is converted into a normalized oscillator, which fluctuates between -1 and 1. This normalization adjusts the oscillator to account for historical extremes, making it easier to compare current conditions with past market behavior.
float oscillator = -midline_distance
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
rescale(float value, float min, float max) =>
(2 * (value - min) / (max - min)) - 1
normalized_oscillator = rescale(oscillator, min, max)
Overbought/Oversold Identification: The oscillator provides a clear visual representation, where values near 1 suggest Bitcoin is overbought, and values near -1 indicate it is oversold. This can help identify potential reversal points or areas of significant market imbalance.
Optional Moving Average: Users can overlay a moving average (either SMA or EMA) on the oscillator to smooth out short-term fluctuations and focus on longer-term trends. This is particularly useful for confirming trend reversals or persistent overbought/oversold conditions.
This indicator is particularly useful for long-term Bitcoin investors who wish to gauge the market's mean-reversion tendencies based on a well-established theoretical model. By focusing on the Power Law’s midline, users can gain insights into whether Bitcoin’s current price deviates significantly from what historical trends would suggest as a fair value.
Trail Blaze - (Multi Function Trailing Stop Loss) - [mutantdog]Shorter version:
As the title states, this is a 'Trailing Stop' type indicator, albeit one with a whole bunch of additional functionality, making it far more versatile and customisable than a standard trailing stop.
The main set of features includes:
Three independent trailing types each with their own +/- multipliers:
- Standard % change
- ATR (aka Supertrend)
- IQR (inter-quartile range)
These can be used in isolation or summed together. A subsequent pair of direction specific multipliers are also included.
Two separate custom source inputs are available, both feature the standard options alongside a selection of 'weighted inputs' and the option to use another indicator (selected via 'AUX'):
- 'Centre' determines the value about which the trailing sum will be added to define the stop level.
- 'Trigger' determines the value used for crossing of stops, initiating trend changes and triggering alerts.
A selection of optional filters and moving averages are available for both.
Furthermore there are various useful visualisation options available, including the underlying bands that govern the stop levels. Preset alerts for trend reversals are also included.
This is not really an 'out-of-the-box' indicator. Depending upon the market and timeframe some adjustments will be necessary for it to function in a useful manner, these can be as simple or complex as the feature-set allows. Basic settings are easy to dial in however and the default state is intended as a good starting point. Alternatively with some experimentation, a plethora of unique and creative configurations are possible, making this a great tool for tweaking. Below is a more detailed overview followed by a bunch of simple example settings.
------------------------
Lengthy Version :
DESIGN & CONCEPT
Before we start breaking this down, a little background. This started off as an attempt to improve upon the ever-popular Supertrend indicator. Of course there are many excellent user created variants available utilising some interesting methods to overcome the drawbacks of the basic version. To that end, rather than copying the work of others, the direction here shifted towards a hybrid trailing stop loss with a bunch of additional user customisation options. At some point, a completely different project involving IQR got morphed into this one. After sitting through months of sideways chop (where this proved to be of limited use), at the time of publication the market has began to form some near term trend direction and it appears to be performing well in many different timeframes.
And so with that out of the way...
INPUTS
The standard Supertrend (and most other variants) includes a single source input, as default set to 'hl2' (candle mid-range). This is the centre around which the atr bands are added/subtracted to govern the stop levels. This is not however the value which is used to trigger the trend reversal, that is usually hard-coded to 'close'. For this version both source values are adjustable: labelled 'centre' and 'trigger' respectively.
Each has custom input selectors including the usual options, a selection of 'weighted inputs' and the option to use another indicator (selected from the Aux input). The 'weighted inputs' are those introduced in Weight Gain 4000, for more details please refer to that listing. These should be treated as experimental, however may prove useful in certain configurations. In this case 'hl-oc2' can be considered an estimate of the candle median and may be a good alternative to the default 'centre' setting of 'hl2', in contrast 'cc-ohlc4' can tend to favour the extremes in the trend direction so could be useful as a faster 'trigger' than the default 'close'.
To cap them off both come with a selection of moving average filters (SMA, EMA, WMA, RMA, HMA, VWMA and a simple VWEMA - note: not elastic) aswell as median and mid-range. 'Centre' can also be set to the output of 'trigger' post-filter which can be useful if working with fast/slow crosses as the basis.
DYNAMICS
This is the main section, comprised of three separate factors: 'TSL', 'ATR' and 'IQR'. The first two should be fairly obvious, 'TSL' (trailing stop loss) is simply a percentage of the 'centre' value while 'ATR' (average true range) is the standard RMA-based version as used in Supertrend, Volatility Stop etc.
The third factor is less common however: 'IQR' (inter-quartile range). In case you are unfamiliar the principle here is, for a given dataset, the greatest 25% and smallest 25% of samples are removed. The remainder is then treated as a set and the range is calculated by highest - lowest. This is a commonly used method in statistical analysis, by removing the extremes it is less prone to influence by outliers and gives a good representation of the main dispersion around the median. In practise i have found it can be a good alternative to ATR, translating better across multiple time-frames due to it representing a fraction of the total range rather than an average of per-candle range like ATR. Used in combination with the others it can also add a factor more representative of longer-term/higher-timeframe trend. By discarding outliers it also benefits from not being impacted by brief pumps/volatility, instead responding only to more sustained changes in trend, such as rallies and parabolic moves. In order to give an accurate result the IQR is calculated using a dataset of high, low and hlcc4 values for all bars within the lookback length. Once calculated this value is then halved which, strictly speaking, makes it a semi-interquartile range.
All three of these components can be used individually or summed together to create a hybrid dynamics factor. Furthermore each multiplier can be set to both positive and negative values allowing for some interesting and creative possibilities. An optional smoothing filter can be applied to the sum, this is a basic SWMA-4 which is can reduce the impact of sudden changes but does incur a noticeable lag. Finally, a basic limiter condition has been hard-coded here to prevent the sum total from ever going below zero.
Capping off this section is a pair of direction multipliers. These simply take the prior dynamics sum and allow for further multiplication applied only to one side (uptrend/lo-stop and downtrend/hi-stop). To see why this is useful consider that markets often behave differently in each direction, we've all seen prices steadily climb over several weeks and then abruptly dump in the process of a day or two, shorter time frames are no stranger to this either. A lack of downside liquidity, a panicked market, aggressive shorts. All these things contribute to significant differences in downward price action. This function allows for tighter stops in one direction compared to the other to reflect this imbalance.
VISUALISATIONS
With all of these options and possibilities, some visual aids are useful. Beneath the dynamics' section are several visual options including both sources post-filter and the actual 'bands' created by the dynamics. These are what govern the stop levels and seeing them in full can help to better understand what our various configurations actually do. We can even hide the stop levels altogether and just use the bands, making this a kind of expanded Keltner Channel. Here we can also find colour and opacity settings for everything we've discussed.
EXAMPLES
The obvious first example here is the standard %-change trailing stop loss which, from my experience, tends to be the best suited for lower time frames. Filtering should probably minimal here. In both charts here we use the default config for source inputs, the top is a standard bi-directional setup with 1.5% tsl while the bottom uses a 2.5% tsl with the histop multiplier reduced to 0 resulting in an uptrend only stoploss.
Shown here in grey is the standard Supertrend which uses 'hl2' as centre and 'close' as trigger, ATR(10) multiplied by 3. On top we have the default filtered source config with ATR(8) multiplied by 2 which gives a different yet functionally similar result, below is the same source config instead using IQR(12) multiplied by 2. Notice here the more 'stepped' response from IQR following the central rally, holding back for a while before closing in on price and ultimately initiating reversal much sooner. Unlike ATR, the length parameter for IQR is absolute and can more significantly affect its responsiveness.
Next we focus on the visualisation options, on top we have the default source config with ATR(8) multiplied by 2 and IQR(12) multiplied by 1. Here we have activated the switch to show 'bands', from this we can see the actual summed dynamics and how it influences the stop levels. Below that we have an altogether different config utilising the included filters which are now visible. In this example we have created a basic 8/21 EMA cross and set a 1% TSL, notice the brief fakeout in the middle which ordinarily might indicate a buy signal. Here the TSL functions as an additional requirement which in this case is not met and thus no buy signal is given.
Finally we have a couple of more 'experimental' examples. On top we have Lazybear's 'Variable Moving Average' in white which has been assigned via 'aux' as the centre with no additional filtering, the default config for trigger is used here and a basic TSL of 1.5% added. It's a simple example but it shows how this can be applied to other indicators. At the bottom we return to the default source config, combining a TSL of 8% with IQR(24) multiplied by -2. Note here the negative IQR with greater length which causes the stop to close in on price following significant deviations while otherwise remaining fairly wide. Combining positive and negative multiples of each factor can yield mixed results, some more useful than others depending upon suitable market conditions.
Since this has been quite lengthy, i shall leave it there. Suffice to say that there are plenty more ways to use this besides these examples. Please feel free to share any of your own ideas in the comments below. Enjoy.
coates moving averages (cma)This indicator uses three moving averages:
2 period low simple ma
2 period high simple ma
9 period least squares ma
The trend is determined by the angle of the moving averages, current close relative the the 9 least squares ma (lsm) and the current close relative to the prior two periods high and low.
When there are consecutive closes inside the prior two candles high and low then a range is signaled:
In ranges the buy zone is between the lowest low and the lowest close of the current range. The sell zone is between the highest high and the highest close. The zones are adjusted as long as the new close is within the prior two candles range:
When price closes above the 2 high ma and the 9 lsm then a bull trend is signaled if all moving averages are angled upward (as seen at #4 in the chart above and #1 the chart below ). If the 9 lsm and / or the 2 low ma continue to angle downward, following a close above the 2 high ma and 9 lsm, then a prolonged range or reversal is expected (#2 in the chart below):
During a bull trend the buy zone is between the 2 low ma and the 9 lsm. The profit target is the 2 high ma:
During dip buying opportunities price should resist closing below the 9 lsm. If there is one close below the 9 lsm then it is a canary in the coalmine that tells us to proceed with caution. This will often signal a range, based on the conditions outlined above. To avoid a prolonged range, or reversal, price needs to immediately react in the direction of the prevailing trend:
If the moving averages are angled down and the most recent close is below the 2 low ma and 9 lsm then trend is fully bearish:
During a bear trend the short zone is between the 2 high ma and 9 lsm. The profit target is the 2 low ma:
When the 2 high ma angles down and the 2 low ma angles up while price closes inside both mas then it indicates a cma squeeze:
Volatility is expected in the direction of the breakout following the squeeze. In this situation traps / shakeouts are common. If there is a wick outside the cma, with a close inside, then it indicates a trap / shakeout. If there is a close outside the 2 high / low ma then it signals a breakout.
A trend is considered balanced when the 9 lsm is roughly equidistant from the 2 low and 2 high mas. If the 9 lsm crosses the 2 high or 2 low ma then it signals exhaustion / imbalance.
For a stop loss I use the prior three periods low, for bull trends, and the prior three periods high for bear trends. I would expect other reliable stops, such as the parabolic sar or bill williams fractal, to be effective as well. The default moving averages should be very effective on all timeframes and assets classes, however this indicator was developed for bitcoin with a focus on higher timeframes such as the 4h, daily and weekly.
As with any other technical indicator there will be bad signals. Proceed with caution and never risk more than you are willing to lose.
GEEKSDOBYTE IFVG w/ Buy/Sell Signals1. Inputs & Configuration
Swing Lookback (swingLen)
Controls how many bars on each side are checked to mark a swing high or swing low (default = 5).
Booleans to Toggle Plotting
showSwings – Show small triangle markers at swing highs/lows
showFVG – Show Fair Value Gap zones
showSignals – Show “BUY”/“SELL” labels when price inverts an FVG
showDDLine – Show a yellow “DD” line at the close of the inversion bar
showCE – Show an orange dashed “CE” line at the midpoint of the gap area
2. Swing High / Low Detection
isSwingHigh = ta.pivothigh(high, swingLen, swingLen)
Marks a bar as a swing high if its high is higher than the highs of the previous swingLen bars and the next swingLen bars.
isSwingLow = ta.pivotlow(low, swingLen, swingLen)
Marks a bar as a swing low if its low is lower than the lows of the previous and next swingLen bars.
Plotting
If showSwings is true, small red downward triangles appear above swing highs, and green upward triangles below swing lows.
3. Fair Value Gap (3‐Bar) Identification
A Fair Value Gap (FVG) is defined here using a simple three‐bar logic (sometimes called an “inefficiency” in price):
Bullish FVG (bullFVG)
Checks if, two bars ago, the low of that bar (low ) is strictly greater than the current bar’s high (high).
In other words:
bullFVG = low > high
Bearish FVG (bearFVG)
Checks if, two bars ago, the high of that bar (high ) is strictly less than the current bar’s low (low).
In other words:
bearFVG = high < low
When either condition is true, it identifies a three‐bar “gap” or unfilled imbalance in the market.
4. Drawing FVG Zones
If showFVG is enabled, each time a bullish or bearish FVG is detected:
Bullish FVG Zone
Draws a semi‐transparent green box from the bar two bars ago (where the gap began) at low up to the current bar’s high.
Bearish FVG Zone
Draws a semi‐transparent red box from the bar two bars ago at high down to the current bar’s low.
These colored boxes visually highlight the “fair value imbalance” area on the chart.
5. Inversion (Fill) Detection & Entry Signals
An inversion is defined as the price “closing through” that previously drawn FVG:
Bullish Inversion (bullInversion)
Occurs when a bullish FVG was identified on bar-2 (bullFVG), and on the current bar the close is greater than that old bar-2 low:
bullInversion = bullFVG and close > low
Bearish Inversion (bearInversion)
Occurs when a bearish FVG was identified on bar-2 (bearFVG), and on the current bar the close is lower than that old bar-2 high:
bearInversion = bearFVG and close < high
When an inversion is true, the indicator optionally draws two lines and a label (depending on input toggles):
Draw “DD” Line (yellow, solid)
Plots a horizontal yellow line from the current bar’s close price extending five bars forward (bar_index + 5). This is often referred to as a “Demand/Daily Demand” line, marking where price inverted the gap.
Draw “CE” Line (orange, dashed)
Calculates the midpoint (ce) of the original FVG zone.
For a bullish inversion:
ce = (low + high) / 2
For a bearish inversion:
ce = (high + low) / 2
Plots a horizontal dashed orange line at that midpoint for five bars forward.
Plot Label (“BUY” / “SELL”)
If showSignals is true, a green “BUY” label is placed at the low of the current bar when a bullish inversion occurs.
Likewise, a red “SELL” label at the high of the current bar when a bearish inversion happens.
6. Putting It All Together
Swing Markers (Optional):
Visually confirm recent swing highs and swing lows with small triangles.
FVG Zones (Optional):
Highlight areas where price left a 3-bar gap (bullish in green, bearish in red).
Inversion Confirmation:
Wait for price to close beyond the old FVG boundary.
Once that happens, draw the yellow “DD” line at the close, the orange dashed “CE” line at the zone’s midpoint, and place a “BUY” or “SELL” label exactly on that bar.
User Controls:
All of the above elements can be individually toggled on/off (showSwings, showFVG, showSignals, showDDLine, showCE).
In Practice
A bullish FVG forms whenever a strong drop leaves a gap in liquidity (three bars ago low > current high).
When price later “fills” that gap by closing above the old low, the script signals a potential long entry (BUY), draws a demand line at the closing price, and marks the midpoint of that gap.
Conversely, a bearish FVG marks a potential short zone (three bars ago high < current low). When price closes below that gap’s high, it signals a SELL, with similar lines drawn.
By combining these elements, the indicator helps users visually identify inefficiencies (FVGs), confirm when price inverts/fills them, and place straightforward buy/sell labels alongside reference lines for trade management.
