Super Wick Volumized Rejection/Reversal @MaxMaserati**Super Wick Volumized Rejection/Reversal @MaxMaserati** 🚀
**Overview**: The "MMM Super Wick Volumized Rejection/Reversal" indicator spots key candlestick wicks with high volume to catch potential reversals or continuations. It overlays charts with lines, labels, and an info panel, with customizable timeframe analysis, signal confirmation, and bar coloring. 📊
**Key Features**:
- **Wick Analysis** 🕯️: Detects big upper/lower wicks using a wick-to-body ratio (default 1.2x) and volume thresholds (high: 1.5x, medium: 1.0x, low: 0.7x avg volume).
- **Signals** 🚦: Creates Buy, Sell, Exit Long, Exit Short, and Weak signals, with optional confirmation via follow-up candle.
- **Timeframe Flexibility** ⏰: Analyzes user-selected or chart timeframe (default: chart).
- **Visuals** 🎨: Draws lines at high/low, open/close, midpoints, and significant wicks, with custom colors, widths, and labels.
- **Bar Coloring**🎨 : Colors bars by wick type (bullish/bearish) and volume strength.
- **Info Panel** ℹ️: Shows market bias, signal status, volume, and wick details (position, size adjustable).
- **Line Management** 🧹: Caps displayed candles (default: 3) and lines (max: 500), with a one-time clear option.
- **Alerts** 🔔: Triggers on confirmed signals (Buy, Sell, Exit Long, Exit Short).
**Inputs** ⚙️:
- **Timeframe** ⏳: Pick analysis timeframe or use chart default.
- **Analysis** 🔍: Lookback period (default: 20), volume thresholds, wick-to-body ratio, confirmation toggle.
- **Display** 🖼️: Toggle lines (high/low, open/close, midpoints, significant wicks), bar coloring (wick/volume-based).
- **Labels** 🏷️: Show/hide labels, set text color/size.
- **Info Panel** 📋: Enable/disable, set position (top_right default), text size, wick details.
- **Line Management** 📏: Line extension (50 bars), candles analyzed (21), visible lines (3), clear all toggle.
- **Colors/Widths** 🎨: Customize lines and wicks (high/low, body, midpoints, significant wicks).
**How It Works** 🛠️:
1. Finds significant wicks (upper/lower) by size vs. body and avg wick length. 🔎
2. Checks volume to rate strength (high, medium, low). 📈
3. Generates signals: Buy (bullish, lower wick, high volume) 📈, Sell (bearish, upper wick, high volume) 📉, Exit (trend weakness) ⚠️, Weak (low volume wicks) ❓.
4. Draws lines at key levels (high/low, open/close, midpoints) and significant wicks, with labels. ✏️
5. Colors bars to show wick type and volume. 🖌️
6. Displays live data in an info panel: trend, signal, volume, wick stats. 📑
7. Keeps line count low, clearing old ones to stay within limits. 🗑️
**Usage** 🎯:
- Apply to any chart for reversal/continuation signals. 📅
- Adjust timeframe for wide/granular views. 🔧
- Use confirmation for safer trades. ✅
- Customize visuals for clarity (lines, colors, panel). 🖥️
- Set alerts for signal notifications. 📢
**Notes** 💡:
- Shines in volatile markets with clear wicks. ⚡
- Confirmation cuts false signals but slows entries. ⏲️
- Tune inputs for specific assets/timeframes. 🛠️
- Clear lines occasionally for smooth performance. 🧼
- Test and retest beofre incorporate it in your strategy
Cari dalam skrip untuk "high low"
Daily LevelsOverview:
The Daily Levels indicator plots key price levels from the previous trading day, including the high, low, median (pivot), and projected extensions. These levels help traders identify potential support/resistance zones and anticipate breakout or reversal opportunities.
Key Features:
✅ Previous Day High & Low – Visualizes the prior day’s high and low as dynamic support/resistance levels.
✅ Median (Pivot) Line – Calculates the midpoint between the previous day’s high and low, acting as a key intraday reference.
✅ Projected Levels – Extends the high/low range symmetrically above and below the median, highlighting potential breakout zones.
✅ Customizable Display – Toggle visibility, adjust colors, and modify line styles (solid, dotted, dashed).
✅ Price Labels – Clear on-chart labels showing exact price values for quick reference.
✅ Built-in Alerts – Get notified when price crosses any of the key levels.
How to Use:
Trend Identification: If price holds above the median, the bias is bullish; below suggests bearish momentum.
Breakout Trading: Watch for moves beyond the projected levels for potential continuation.
Mean Reversion: Fade moves toward the previous day’s high/low if the median holds as support/resistance.
Ideal For:
Day Traders – Intraday support/resistance levels.
Swing Traders – Context for multi-day trends.
Breakout/Reversal Strategies – Clear levels for trade triggers.
Settings Recommendations:
High/Low Lines: Use semi-transparent colors (e.g., green/red) for clarity.
Projections: Helpful for anticipating extended moves (e.g., teal for upper, orange for lower).
Alerts: Enable notifications for key crosses (e.g., median or high/low breaks).
SMC+The "SMC+" indicator is a comprehensive tool designed to overlay key Smart Money Concepts (SMC) levels, support/resistance zones, order blocks (OB), fair value gaps (FVG), and trap detection on your TradingView chart. It aims to assist traders in identifying potential areas of interest based on price action, swing structures, and volume dynamics across multiple timeframes. This indicator is fully customizable, allowing users to adjust lookback periods, colors, opacity, and sensitivity to suit their trading style.
Key Components and Functionality
1. Key Levels (Support and Resistance)
This section plots horizontal lines representing support and resistance levels based on highs and lows over three distinct lookback periods, plus daily nearest levels.
Short-Term Lookback Period (Default: 20 bars)
Plots the highest high (short_high) and lowest low (short_low) over the specified period.
Visualized as dotted lines with customizable colors (Short-Term Resistance Color, Short-Term Support Color) and opacity (Short-Term Resistance Opacity, Short-Term Support Opacity).
Adjustment Tip: Increase the lookback (e.g., to 30-50) for less frequent but stronger levels on higher timeframes, or decrease (e.g., to 10-15) for scalping on lower timeframes.
Long-Term Lookback Period (Default: 50 bars)
Plots broader support (long_low) and resistance (long_high) levels using a solid line style.
Customizable via Long-Term Resistance Color, Long-Term Support Color, and their respective opacity settings.
Adjustment Tip: Extend to 100-200 bars for swing trading or major trend analysis on daily/weekly charts.
Extra-Long Lookback Period (Default: 100 bars)
Identifies significant historical highs (extra_long_high) and lows (extra_long_low) with dashed lines.
Configurable with Extra-Long Resistance Color, Extra-Long Support Color, and opacity settings.
Adjustment Tip: Use 200-500 bars for monthly charts to capture macro-level key zones.
Daily Nearest Resistance and Support Levels
Dynamically calculates the nearest resistance (daily_res_level) and support (daily_sup_level) based on the current day’s price action relative to historical highs and lows.
Displayed with Daily Resistance Color and Daily Support Color (with opacity options).
Adjustment Tip: Works best on intraday charts (e.g., 15m, 1h) to track daily pivots; combine with volume profile for confirmation.
How It Works: These levels update dynamically as new highs/lows form, providing a visual guide to potential reversal or breakout zones.
2. SMC Inputs (Smart Money Concepts)
This section identifies swing structures, order blocks, fair value gaps, and entry signals based on SMC principles.
SMC Swing Lookback Period (Default: 12 bars)
Defines the period for detecting swing highs (smc_swing_high) and lows (smc_swing_low).
Adjustment Tip: Increase to 20-30 for smoother swings on higher timeframes; reduce to 5-10 for faster signals on lower timeframes.
Minimum Swing Size (%) (Default: 0.5%)
Filters out minor price movements to focus on significant swings.
Adjustment Tip: Raise to 1-2% for volatile markets (e.g., crypto) to avoid noise; lower to 0.2-0.3% for forex pairs with tight ranges.
Order Block Sensitivity (Default: 1.0)
Scales the size of detected order blocks (OBs) for bullish reversal (smc_ob_bull), bearish reversal (smc_ob_bear), and continuation (smc_cont_ob).
Visuals include customizable colors, opacity, border thickness, and blinking effects (e.g., SMC Bullish Reversal OB Color, SMC Bearish Reversal OB Blink Thickness).
Adjustment Tip: Increase to 1.5-2.0 for wider OBs in choppy markets; keep at 1.0 for precision in trending conditions.
Minimum FVG Size (%) (Default: 0.3%)
Sets the minimum gap size for Fair Value Gaps (fvg_high, fvg_low), displayed as boxes with Fair Value Gap Color and FVG Opacity.
Adjustment Tip: Increase to 0.5-1% for larger, more reliable gaps; decrease to 0.1-0.2% for scalping smaller inefficiencies.
How It Works:
Bullish Reversal OB: Detects a bearish candle followed by a bullish break, marking a potential demand zone.
Bearish Reversal OB: Identifies a bullish candle followed by a bearish break, marking a supply zone.
Continuation OB: Spots strong bullish momentum after a prior high, indicating a continuation zone.
FVG: Highlights bullish gaps where price may retrace to fill.
Entry Signals: Plots triangles (SMC Long Entry) when price retests an OB with a liquidity sweep or break of structure (BOS).
3. Trap Inputs
This section detects potential bull and bear traps based on price action, volume, and key level rejections.
Min Down Move for Bear Trap (%) (Default: 1.0%)
Sets the minimum drop required after a bearish OB to qualify as a trap.
Visualized with Bear Trap Color, Bear Trap Opacity, and blinking borders.
Adjustment Tip: Increase to 2-3% for stronger traps in trending markets; lower to 0.5% for ranging conditions.
Min Up Move for Bull Trap (%) (Default: 1.0%)
Sets the minimum rise required after a bullish OB to flag a trap.
Customizable with Bull Trap Color, Bull Trap Border Thickness, etc.
Adjustment Tip: Adjust similarly to bear traps based on market volatility.
Volume Lookback for Traps (Default: 5 bars)
Compares current volume to a moving average (avg_volume) to filter low-volume traps.
Adjustment Tip: Increase to 10-20 for confirmation on higher timeframes; reduce to 3 for intraday sensitivity.
How It Works:
Bear Trap: Triggers when price drops significantly after a bearish OB but reverses up with low volume or support rejection.
Bull Trap: Activates when price rises after a bullish OB but fails with low volume or resistance rejection.
Boxes highlight trap zones, resetting when price breaks out.
4. Visual Customization
Line Width (Default: 2)
Adjusts thickness of support/resistance lines.
Tip: Increase to 3-4 for visibility on cluttered charts.
Blink On (Default: Close)
Sets whether OB/FVG borders blink based on Open or Close price interaction.
Tip: Use "Open" for intraday precision; "Close" for confirmed reactions.
Colors and Opacity: Each element (OBs, FVGs, traps, key levels) has customizable colors, opacity (0-100), border thickness (1-5 or 1-7), and blink effects for dynamic visualization.
How to Use SMC+
Setup: Apply the indicator to any chart and adjust inputs based on your timeframe and market.
Key Levels: Watch for price reactions at short, long, extra-long, or daily levels for potential reversals or breakouts.
SMC Signals: Look for entry signals (triangles) near OBs or FVGs, confirmed by liquidity sweeps or BOS.
Traps: Avoid false breakouts by monitoring trap boxes, especially near key levels with low volume.
Notes:
This indicator is a visual aid and does not guarantee trading success. Combine it with other analysis tools and risk management strategies.
Performance may vary across markets and timeframes; test settings thoroughly before use.
For optimal results, experiment with lookback periods and sensitivity settings to match your trading style.
The default settings are optimal for 1 minute and 10 second time frames for small cap low float stocks.
Continuation OB are Blue.
Bullish Reversal OB color is Green
Bearish Reversal OB color is Red
FVG color is purple
Bear Trap OB is red with a green border and often appears with a Bearish Reversal OB signaling caution to a short position.
Bull trap OB is green with a Red border signaling caution to a long position.
All active OB area are highlighted and solid in color while other non active OB area are dimmed.
My personal favorite setups are when we have an active bullish reversal with an active FVG along with an active Continuation OB.
Another personal favorite is the Bearish reversal OB signaling an end to a recent uptrend.
The Trap OB detection are also a unique and Original helpful source of information.
The OB have a white boarder by default that are colored black giving a simulated blinking effect when price is acting in that zone.
The Trap OB border are colored with respect to direction of intended trap, all of which can be customized to personal style.
All vaild OB zones are shown compact in size ,a unique and original view until its no longer valid.
Chonky ATR Levels 2.0Show ATR based high/low projections.
Choose a custom ATR calculation in the indicator's settings.
The default is a 20day RMA based ATR.
----------How projections are calculated----------
To project the ATR High, the ATR value is added to the low of the current candle that matches the ATR's timeframe.
To project the ATR Low, the ATR value is subtracted from the high of the current candle that matches the ATR's timeframe.
Example:
If a 20day RMA ATR is used:
- the ATR High will be the current day's low + the ATR value.
- the ATR Low will be the current day's high - the ATR value.
*However*, if the price action exceeds either ATR projection, the opposite ATR level will be fixed to the extreme of the period.
See the AUDUSD screenshot above for an example.
The ATR Low was exceeded, so the ATR High projection is capped at the high of day.
If the ATR High is exceeded, the ATR Low would be capped at the low of day.
Liquidity Heatmap SwiftEdgeDescription
Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles.
What It Does
The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level.
How It Works
The script combines three main components to create a comprehensive liquidity visualization:
Swing Highs and Lows Detection:
The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed.
Volume Analysis:
Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles.
Heatmap Visualization:
The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action.
Why Combine These Components?
The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart.
This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements.
How to Use It
Add the Indicator to Your Chart:
Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart.
Interpret the Heatmap:
Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located.
Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located.
The intensity of the color is controlled by the Heatmap Transparency setting—lower values make the zones more opaque, while higher values make them more transparent.
Analyze the Bubbles:
Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity.
Adjust Settings for Your Needs:
Liquidity Settings:
Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes.
Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones.
Volume Average Length: Sets the period for averaging volume data at swing points.
Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles.
Lookback Period (Hours): Limits how far back the script looks for liquidity zones.
Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side).
Heatmap Settings:
Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart.
Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points.
Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent).
Display Settings:
Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts.
Trading Application:
Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react.
Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price.
Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups.
What Makes It Original?
This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact.
Example Use Case
On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
ICT Order Blocks v2 (Debug)Josh has a very large PP xD
Understanding Order Blocks (OBs) - The ICT Perspective
This document delves into the concept of Order Blocks (OBs) from the perspective of the ICT methodology. It outlines what OBs are, their significance in trading, and how the "ICT Order Blocks v2 (Refined)" indicator functions to identify and visualize these critical price levels. By understanding OBs, traders can better navigate market movements and make informed decisions based on institutional trading behavior.
What is an Order Block (OB)?
Within ICT methodology, an Order Block represents a specific price candle where significant buying or selling interest from institutions (Smart Money) is believed to have occurred. They are potential areas where price might return and react.
Bullish Order Block: Typically the last down-closing candle before a strong, impulsive upward move (displacement). It suggests institutions may have absorbed selling pressure and initiated long positions here.
Bearish Order Block: Typically the last up-closing candle before a strong, impulsive downward move (displacement). It suggests institutions may have distributed long positions or initiated short positions here.
Why are OBs Significant (ICT View)?
Institutional Footprint: They mark potential zones of large order execution.
Support/Resistance: Unmitigated OBs can act as sensitive price levels where reactions are expected. Bullish OBs may provide support; Bearish OBs may provide resistance.
Origin of Moves: They often mark the origin point of significant price swings.
Liquidity Engineering: Institutions might drive price back to OBs to mitigate earlier positions or to engineer liquidity before continuing a move.
Common Refinements
ICT often emphasizes higher probability OBs that are associated with:
Displacement: The move away from the OB is sharp and decisive.
Fair Value Gaps (FVGs): An FVG forming immediately after the OB strengthens its validity.
OB Mitigation: This refers to price returning to the level of the Order Block after its formation. Price might react at the edge (proximal line) or the 50% level (mean threshold) of the OB. An OB is often considered fully mitigated or invalidated if price trades decisively through its entire range, especially with a candle body closing beyond it.
How the "ICT Order Blocks v2 (Refined)" Indicator Works
This indicator automates the detection and visualization of the most recent unmitigated Order Block of each type (Bullish/Bearish), incorporating optional filters.
Detection:
It looks at the relationship between the candle two bars ago ( ), the previous candle ( ), and potentially the current candle ( ).
Bullish OB: Identifies if candle was a down-close (close < open ) AND candle broke above the high of candle (high > high ).
Bearish OB: Identifies if candle was an up-close (close > open ) AND candle broke below the low of candle (low < low ).
Accuracy Filters (Optional Inputs):
These filters help identify potentially higher-probability OBs:
Require Fair Value Gap (FVG)?: If enabled, the indicator checks if an FVG formed immediately after the OB candle ( ). Specifically, it looks for a gap between candle and candle (low > high for Bullish OB confirmation, high < low for Bearish).
Require Strong Close Breakout?: If enabled, it requires the breakout candle ( ) to close beyond the range of the OB candle ( ). (close > high for Bullish, close < low for Bearish). This suggests stronger confirmation.
Storing the Most Recent OB:
When an OB is detected and passes any enabled filters, its details (high, low, formation bar index) are stored. Crucially, this indicator only tracks the single most recent valid unmitigated OB of each type (one Bullish, one Bearish) using var variables. If a newer valid OB forms, it replaces the previously stored one.
Drawing Boxes:
If a valid Bullish OB is being tracked (and Show Bullish OBs is enabled), it draws a box (box.new) using the high and low of the identified OB candle ( ). The same process applies to Bearish OBs (Show Bearish OBs enabled). The boxes automatically extend to the right (extend.right) and their right edge is updated on each new bar (box.set_right) until they are mitigated. Labels ("Bull OB" / "Bear OB") are displayed inside the boxes.
Mitigation & Box Deletion:
The indicator checks if the current closing price (close ) has moved entirely beyond the range of the tracked OB.
Mitigation Rule Used: A Bullish OB is considered mitigated if close < bull_ob_low. A Bearish OB is considered mitigated if close > bear_ob_high. Once an OB is marked as mitigated, the indicator stops tracking it and its corresponding box is automatically deleted (box.delete) from the chart.
This indicator provides a dynamic visualization of the most recent, potentially significant Order Blocks that meet the specified criteria, helping traders identify key areas of interest based on ICT principles.
Pivot S/R with Volatility Filter## *📌 Indicator Purpose*
This indicator identifies *key support/resistance levels* using pivot points while also:
✅ Detecting *high-volume liquidity traps* (stop hunts)
✅ Filtering insignificant pivots via *ATR (Average True Range) volatility*
✅ Tracking *test counts and breakouts* to measure level strength
---
## *⚙ SETTINGS – Detailed Breakdown*
### *1️⃣ ◆ General Settings*
#### *🔹 Pivot Length*
- *Purpose:* Determines how many bars to analyze when identifying pivots.
- *Usage:*
- *Low values (5-20):* More pivots, better for scalping.
- *High values (50-200):* Fewer but stronger levels for swing trading.
- *Example:*
- Pivot Length = 50 → Only the most significant highs/lows over 50 bars are marked.
#### *🔹 Test Threshold (Max Test Count)*
- *Purpose:* Sets how many times a level can be tested before being invalidated.
- *Example:*
- Test Threshold = 3 → After 3 tests, the level is ignored (likely to break).
#### *🔹 Zone Range*
- *Purpose:* Creates a price buffer around pivots (±0.001 by default).
- *Why?* Markets often respect "zones" rather than exact prices.
---
### *2️⃣ ◆ Volatility Filter (ATR)*
#### *🔹 ATR Period*
- *Purpose:* Smoothing period for Average True Range calculation.
- *Default:* 14 (standard for volatility measurement).
#### *🔹 ATR Multiplier (Min Move)*
- *Purpose:* Requires pivots to show *meaningful price movement*.
- *Formula:* Min Move = ATR × Multiplier
- *Example:*
- ATR = 10 pips, Multiplier = 1.5 → Only pivots with *15+ pip swings* are valid.
#### *🔹 Show ATR Filter Info*
- Displays current ATR and minimum move requirements on the chart.
---
### *3️⃣ ◆ Volume Analysis*
#### *🔹 Volume Change Threshold (%)*
- *Purpose:* Filters for *unusual volume spikes* (institutional activity).
- *Example:*
- Threshold = 1.2 → Requires *120% of average volume* to confirm signals.
#### *🔹 Volume MA Period*
- *Purpose:* Lookback period for "normal" volume calculation.
---
### *4️⃣ ◆ Wick Analysis*
#### *🔹 Wick Length Threshold (Ratio)*
- *Purpose:* Ensures rejection candles have *long wicks* (strong reversals).
- *Formula:* Wick Ratio = (Upper Wick + Lower Wick) / Candle Range
- *Example:*
- Threshold = 0.6 → 60% of the candle must be wicks.
#### *🔹 Min Wick Size (ATR %)*
- *Purpose:* Filters out small wicks in volatile markets.
- *Example:*
- ATR = 20 pips, MinWickSize = 1% → Wicks under *0.2 pips* are ignored.
---
### *5️⃣ ◆ Display Settings*
- *Show Zones:* Toggles support/resistance shaded areas.
- *Show Traps:* Highlights liquidity traps (▲/▼ symbols).
- *Show Tests:* Displays how many times levels were tested.
- *Zone Transparency:* Adjusts opacity of zones.
---
## *🎯 Practical Use Cases*
### *1️⃣ Liquidity Trap Detection*
- *Scenario:* Price spikes *above resistance* then reverses sharply.
- *Requirements:*
- Long wick (Wick Ratio > 0.6)
- High volume (Volume > Threshold)
- *Outcome:* *Short Trap* signal (▼) appears.
### *2️⃣ Strong Support Level*
- *Scenario:* Price bounces *3 times* from the same level.
- *Indicator Action:*
- Labels the level with test count (3/5 = 3 tests out of max 5).
- Turns *red* if broken (Break Count > 0).
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
Deep Dive: How This Indicator Works*
This indicator combines *four professional trading concepts* into one powerful tool:
1. *Classic Pivot Point Theory*
- Identifies swing highs/lows where price previously reversed
- Unlike basic pivot indicators, ours uses *confirmed pivots only* (filtered by ATR)
2. *Volume-Weighted Validation*
- Requires unusual trading volume to confirm levels
- Filters out "phantom" levels with low participation
3. *ATR Volatility Filtering*
- Eliminates insignificant price swings in choppy markets
- Ensures only meaningful levels are plotted
4. *Liquidity Trap Detection*
- Spots institutional stop hunts where markets fake out traders
- Uses wick analysis + volume spikes for high-probability signals
---
## *📊 Parameter Encyclopedia (Expanded)*
### *1️⃣ Pivot Engine Settings*
#### *Pivot Length (50)*
- *What It Does:*
Determines how many bars to analyze when searching for swing highs/lows.
- *Professional Adjustment Guide:*
| Trading Style | Recommended Value | Why? |
|--------------|------------------|------|
| Scalping | 10-20 | Captures short-term levels |
| Day Trading | 30-50 | Balanced approach |
| Swing Trading| 50-200 | Focuses on major levels |
- *Real Market Example:*
On NASDAQ 5-minute chart:
- Length=20: Identifies levels holding for ~2 hours
- Length=50: Finds levels respected for entire trading day
#### *Test Threshold (5)*
- *Advanced Insight:*
Institutions often test levels 3-5 times before breaking them. This setting mimics the "probe and push" strategy used by smart money.
- *Psychology Behind It:*
Retail traders typically give up after 2-3 tests, while institutions keep testing until stops are run.
---
### *2️⃣ Volatility Filter System*
#### *ATR Multiplier (1.0)*
- *Professional Formula:*
Minimum Valid Swing = ATR(14) × Multiplier
- *Market-Specific Recommendations:*
| Market Type | Optimal Multiplier |
|------------------|--------------------|
| Forex Majors | 0.8-1.2 |
| Crypto (BTC/ETH) | 1.5-2.5 |
| SP500 Stocks | 1.0-1.5 |
- *Why It Matters:*
In EUR/USD (ATR=10 pips):
- Multiplier=1.0 → Requires 10 pip swings
- Multiplier=1.5 → Requires 15 pip swings (fewer but higher quality levels)
---
### *3️⃣ Volume Confirmation System*
#### *Volume Threshold (1.2)*
- *Institutional Benchmark:*
- 1.2x = Moderate institutional interest
- 1.5x+ = Strong smart money activity
- *Volume Spike Case Study:*
*Before Apple Earnings:*
- Normal volume: 2M shares
- Spike threshold (1.2): 2.4M shares
- Actual volume: 3.1M shares → STRONG confirmation
---
### *4️⃣ Liquidity Trap Detection*
#### *Wick Analysis System*
- *Two-Filter Verification:*
1. *Wick Ratio (0.6):*
- Ensures majority of candle shows rejection
- Formula: (UpperWick + LowerWick) / Total Range > 0.6
2. *Min Wick Size (1% ATR):*
- Prevents false signals in flat markets
- Example: ATR=20 pips → Min wick=0.2 pips
- *Trap Identification Flowchart:*
Price Enters Zone →
Spikes Beyond Level →
Shows Long Wick →
Volume > Threshold →
TRAP CONFIRMED
---
## *💡 Master-Level Usage Techniques*
### *Institutional Order Flow Analysis*
1. *Step 1:* Identify pivot levels with ≥3 tests
2. *Step 2:* Watch for volume contraction near levels
3. *Step 3:* Enter when trap signal appears with:
- Wick > 2×ATR
- Volume > 1.5× average
### *Multi-Timeframe Confirmation*
1. *Higher TF:* Find weekly/monthly pivots
2. *Lower TF:* Use this indicator for precise entries
3. *Example:*
- Weekly pivot at $180
- 4H shows liquidity trap → High-probability reversal
---
## *⚠ Critical Mistakes to Avoid*
1. *Using Default Settings Everywhere*
- Crude oil needs higher ATR multiplier than bonds
2. *Ignoring Trap Context*
- Traps work best at:
- All-time highs/lows
- Major psychological numbers (00/50 levels)
3. *Overlooking Cumulative Volume*
- Check if volume is building over multiple tests
Previous Day, Week, Monday Liq + Asian, London & Ny session LiqGM Gs,
This indicator helps traders identify key liquidity levels from different market sessions (Asian, London, NY), as well as weekly and daily highs/lows. It automatically plots these levels on the chart, making it easier to spot potential support/resistance zones where price might react.
Key Features:
1. Multi-Timeframe Liquidity Zones
Previous Day High/Low – Tracks the prior day’s range.
Monday High/Low – Useful for weekly opening liquidity.
Previous Week High/Low – Helps identify broader weekly levels.
2. Customizable Session Times
Asian, London, and NY Session Highs/Lows – Automatically detects and plots key levels from each trading session.
Adjustable Time Zones – Supports multiple GMT offsets (GMT-8 to GMT+3), making it adaptable for traders worldwide.
3. Visual Customization
Color & Style Options – Each level type (e.g., London High, NY Low) can be customized in color, line style (solid, dashed, dotted), and width.
Faded Opacity for Swept Levels – When a level is swept (price breaks but closes beyond it), it becomes semi-transparent, helping traders distinguish active vs. invalidated levels.
4. Clean & Informative Labels
Each level has a clear label (e.g., "Asia High," "PW Low") for easy identification.
Adjustable label offsets prevent clutter on the chart.
Pros & Benefits for Traders:
✅ Helps Identify Key Liquidity Zones – Institutional traders often target session highs/lows for liquidity grabs. This indicator makes these levels visible at a glance.
✅ Adaptable to Different Trading Styles
Day Traders – Can use Asian/London/NY session levels for intraday setups.
Swing Traders – Can focus on weekly and Monday levels for broader trends.
✅ No Repainting – Levels are fixed once formed and do not change retroactively.
✅ Customizable for Personal Preference – Traders can adjust colors, line styles, and visibility to match their trading setup.
✅ Useful for Multiple Markets – Works well on Forex (major pairs), indices, and even crypto (due to 24/7 market structure similarities).
Suggested Use Cases:
Breakout Trading – Watch for price reactions at session highs/lows.
Mean Reversion – Fade moves into weekly or daily extremes.
Institutional Liquidity Analysis – Identify potential stop hunts or accumulation zones.
Conclusion:
This indicator is a powerful tool for traders who rely on session-based liquidity, institutional order flow, and key support/resistance levels. By automating the detection of these zones, it saves time and helps traders make more informed decisions.
SessionRangeLevels_v0.1SessionRangeLevels_v0.1
Overview:
SessionRangeLevels_v0.1 is a customizable Pine Script (v6) indicator designed to plot key price levels based on a user-defined trading session. It identifies the high and low of the session and calculates intermediate levels (75%, 50% "EQ", and 25%) within that range. These levels are projected forward as horizontal lines with accompanying labels, providing traders with dynamic support and resistance zones. The indicator supports extensive customization for session timing, time zones, line styles, colors, and more.
Key Features:
Session-Based Range Detection: Tracks the high and low prices during a specified session (e.g., 0600-0900) and updates them dynamically as the session progresses.
Customizable Levels: Displays High, 75%, EQ (50%), 25%, and Low levels, each with independent toggle options, styles (Solid, Dashed, Dotted), colors, and widths.
Session Anchor: Optional vertical line marking the session start, with customizable style, color, and width.
Projection Offset: Extends level lines forward by a user-defined number of bars (default: 24) for future price reference.
Labels: Toggleable labels for each level (e.g., "High," "75%," "EQ") with adjustable size (Tiny, Small, Normal, Large).
Time Zone Support: Aligns session timing to a selected time zone (e.g., America/New_York, UTC, Asia/Tokyo, etc.).
Alert Conditions: Triggers alerts when the price crosses any of the plotted levels (High, 75%, EQ, 25%, Low).
Inputs:
Session Time (HHMM-HHMM): Define the session range (e.g., "0600-0900" for 6:00 AM to 9:00 AM).
Time Zone: Choose from options like UTC, America/New_York, Europe/London, etc.
Anchor Settings: Toggle the session start line, adjust its style (default: Dotted), color (default: Black), and width (default: 1).
Level Settings:
High (Solid, Black, Width 2)
75% (Dotted, Blue, Width 1)
EQ/50% (Dotted, Orange, Width 1)
25% (Dotted, Blue, Width 1)
Low (Solid, Black, Width 2)
Each level includes options to show/hide, set style, color, width, and label visibility.
Projection Offset: Number of bars to extend lines (default: 24).
Label Size: Set label size (default: Small).
How It Works:
The indicator detects the start and end of the user-defined session based on the specified time and time zone.
During the session, it tracks the highest high and lowest low, updating the levels in real-time.
At the session start, it plots the High, Low, and intermediate levels (75%, 50%, 25%), projecting them forward.
Lines and labels dynamically adjust as new highs or lows occur within the session.
Alerts notify users when the price crosses any active level.
Usage:
Ideal for traders who focus on session-based strategies (e.g., London or New York open). Use it to identify key price zones, monitor breakouts, or set targets. Customize the appearance to suit your chart preferences and enable alerts for real-time trading signals.
Notes:
Ensure your chart’s timeframe aligns with your session duration for optimal results (e.g., 1-minute or 5-minute charts for short sessions).
The indicator overlays directly on the price chart for easy integration with other tools.
Multi-Timeframe Liquidity Zones V6 (Table)Multi-Timeframe Liquidity Zones V6 (Table) Indicator: Functionality and Uses
Overview: The Multi-Timeframe Liquidity Zones V6 (Table) indicator is a technical analysis tool that highlights key volume-based support and resistance levels across multiple timeframes. It leverages volume profile concepts – specifically the Point of Control (POC) and Value Area High/Low (VAH/VAL) – to identify “liquidity zones” where trading activity was heaviest . Unlike a standard single-timeframe volume profile, this indicator compiles data from several timeframes (e.g. monthly, weekly, daily, intraday) and displays the results in a convenient table format on the chart. The goal is to give traders a consolidated view of important price levels (derived from volume concentrations) across different horizons, helping them plan trades with a broader market perspective.
Purpose and Functionality of the Indicator
Multi-Timeframe Analysis: The primary objective of this indicator is to simplify multi-timeframe analysis of volume distribution. Rather than manually checking volume profiles on separate charts for each timeframe, the tool automatically calculates the key levels for each selected timeframe and presents them together. This includes higher-level perspectives (like monthly or weekly volume hotspots) alongside shorter-term levels (daily or hourly), ensuring that traders don’t miss significant zones from any timeframe . By offering a broader perspective on support and resistance levels, multi-timeframe tools help improve risk management and signal confirmation , and this indicator is designed to provide that volume-based perspective at a glance.
Table Format Display: Multi-Timeframe Liquidity Zones V6 (Table) specifically presents the information as a table (as opposed to plotting lines on the chart). Each row in the table typically corresponds to a timeframe (for example, Monthly, Weekly, Daily, 4H, 1H, 30M, 15M), and the columns list the calculated POC, VAH, VAL, and possibly the average volume for that timeframe’s look-back period. By structuring the data in a table, traders can quickly read off the exact price levels of these liquidity zones without having to visually trace lines. This format makes it easy to compare levels across timeframes or note where multiple timeframes’ levels cluster near the same price – a sign of especially strong support/resistance. The indicator uses a user-defined number of bars or length of history for each timeframe to calculate these values (so you can adjust how far back it looks to define the volume profile for each period).
Objective: In summary, the functionality is geared toward identifying high-liquidity price zones across multiple time scales and presenting them clearly. These high-liquidity zones often coincide with areas where price reacts (stalls, reverses, or accelerates) because a lot of trading activity (hence, orders and volume) took place there in the past. The indicator’s objective is to alert the trader to those areas in advance. It effectively answers questions like: “Where are the major volume concentration levels on the 1-hour, daily, and weekly charts right now?” and “Are there overlapping volume-based support/resistance levels from different timeframes around the current price?” By compiling this information, the indicator helps traders incorporate context from multiple timeframes in their decision-making, without needing to flip through numerous charts.
Identifying Liquidity Zones with POC, VAH, and VAL
Liquidity Zones Defined: In market terms, a “liquidity zone” is an area of the chart where a significant amount of trading occurred, meaning high liquidity (many buyers and sellers exchanged volume there). These zones often act as support or resistance because past heavy trading indicates consensus or interest around those price levels. This indicator identifies liquidity zones through volume profile analysis on each timeframe’s recent price action. Essentially, it looks at the distribution of trading volume at different prices over the specified period and finds the value area – the range of prices that encompassed the majority of that volume (commonly around 70% of the total volume ). Within that value area, it pinpoints the Point of Control (POC), which is the single price level that had the highest traded volume (the peak of the volume profile) . The upper and lower boundaries of that high-volume range are marked as Value Area High (VAH) and Value Area Low (VAL) respectively . Together, the VAH and VAL define the liquidity zone where the market spent most of its time and volume, and POC highlights the most traded price in that zone.
• Point of Control (POC): The POC is the price level with the greatest volume traded for the given period. It represents the price at which the most liquidity was exchanged – effectively the market’s “center of gravity” for that timeframe’s trading activity . The indicator calculates the POC for each selected timeframe by scanning the volume at each price; the price with maximum volume is flagged as that timeframe’s POC. In the table, the POC might be highlighted or listed as a key level (sometimes traders color-code it or mark it for emphasis). Because so many positions were opened or closed at the POC, it often serves as a strong support/resistance. For example, if price falls to a major POC from above, traders expect buyers may step in there (since it was a popular buy/sell level historically), potentially causing a bounce. Conversely, if price breaks through a POC decisively, it may signal a significant shift in market acceptance.
• Value Area High (VAH) and Low (VAL): The VAH and VAL are the price boundaries of the value area, which is typically defined to contain about 70% of the total traded volume for the period . In other words, between VAH and VAL is where the “bulk” of trading occurred, and outside this range is where relatively less volume traded. The indicator derives VAH/VAL by accumulating volume from the highest-volume price (POC) outward until ~70% of volume is covered (this is a common method for volume profile value area). VAH is the top of this high-volume region and VAL is the bottom. These levels are important because they often act like support/resistance boundaries: when price is inside the value area, it’s in a high-liquidity zone and tends to oscillate between VAH and VAL; when price moves above VAH or below VAL, it’s leaving the high-volume zone, which can indicate a potential trend or imbalance (price entering a lower-liquidity area where it might move faster until finding the next liquidity zone). Traders watch VAH/VAL for signs of rejection or acceptance: for instance, a price rally that falters at VAH suggests that level is acting as resistance (sellers defending that high-volume area), whereas if price pushes above VAH, it may continue until the next timeframe’s zone or until it finds new interest. The Multi-Timeframe Liquidity Zones V6 indicator gives the VAH and VAL for each timeframe, essentially mapping out the upper and lower bounds of key liquidity zones at those scales.
How the Indicator Identifies These: Under the hood, the indicator likely uses historical price and volume data for each timeframe’s lookback window. For each timeframe (say the last 20 weekly bars for a weekly profile, last 100 daily bars for a daily profile, etc.), it constructs a volume profile (a histogram of volume at each price). From that distribution, it finds the POC (highest volume bin) and calculates VAH/VAL around it. The output is a set of numbers (price levels) that mark where those zones lie. In practice, if using the Lines version of this indicator, those levels are drawn as horizontal lines on the chart and labeled by timeframe (e.g., a line at 1.2345 labeled “D POC” for Daily POC) . In the Table version, those values are instead listed in text form. Either way, the identification process is the same – it’s finding the high-volume price regions on each timeframe and calling them out. By doing this for multiple timeframes concurrently, the indicator reveals how these liquidity zones from different periods relate to each other. For example, you might discover that a daily-chart value area overlaps with a weekly-chart POC, creating a particularly strong zone of interest. This kind of insight is hard to get from a single timeframe analysis alone.
Volume Profile Data Across Multiple Timeframes
Multiple Timeframes in One View: One of the biggest advantages of this indicator is the ability to see volume profile information from various timeframes side by side. Traders often perform multiple timeframe analysis to get a fuller picture — for instance, checking monthly or weekly levels for long-term context while planning a trade on a 4-hour chart. This indicator automates that process for volume-based levels. The table will typically list each chosen timeframe (which could be preset or user-selected). For each timeframe, you get the POC, VAH, VAL, and possibly an average volume metric. The “average volume” likely refers to the average volume per bar or the average volume traded over the profile’s duration for that timeframe, which gives a sense of how significant that period’s activity is. For example, a weekly profile might show an average volume of say 500k per week, versus a daily profile average of 80k per day – indicating the scale of trading on weekly vs daily. High average volume on a timeframe means its liquidity zones were formed with a lot of participation, possibly making them more reliable support/resistance. By comparing these, traders can gauge which timeframes had unusually high or low activity recently. The table format makes such comparisons straightforward.
Identification of Confluence: Because all the data is presented together, traders can quickly spot confluence or overlaps between timeframes. If two different timeframes show liquidity zones at similar price levels, that price becomes extremely noteworthy. For instance, suppose the indicator shows: a 1-hour POC at 1.1300, a 4-hour VAL at 1.1280, and a daily VAL at 1.1290. These are all in a tight range – effectively indicating a multi-timeframe liquidity zone around 1.1280–1.1300. A trader seeing this cluster in the table will recognize that as a strong support area, since multiple profiles from intraday to daily all suggest heavy trading interest there. Similarly, overlaps of VAH (resistance zone) from different timeframes could signal a strong ceiling. The multi-timeframe view prevents a trader from, say, going long into a major weekly POC above, or shorting when there’s a huge monthly value-area low just below – situations where awareness of higher timeframe volume structure can make the difference between a good and bad trade.
User Customization: The indicator is flexible in that you can typically adjust which timeframes to include and how many bars to use for each timeframe’s calculation. For example, one might configure it to calculate monthly levels using the past 12 monthly bars (1 year of data), weekly levels using the past 20 weeks, daily using 100 days, etc., depending on preference. By tuning the “bars count” or period length , the trader can focus on recent liquidity zones or incorporate more history if desired. Shorter lookback might catch more recent shifts in volume distribution (important if the market structure changed recently), while longer lookback gives more established levels. This customization ensures the indicator’s output can be tailored to different trading styles (short-term vs swing vs long-term investing). Regardless of settings, the multi-timeframe table allows simultaneous visibility of the chosen timeframes’ volume landscape. This comprehensive view is the core strength: it consolidates data that normally requires flipping through multiple charts.
Using the Liquidity Zones Data for Trading Decisions
Traders can use the information from the MTF Liquidity Zones V6 (Table) indicator in several practical ways to enhance their decision-making:
• Identify Support and Resistance: Each liquidity zone acts as a potential support or resistance area. For example, if the table shows a daily VAH at a certain level above the current price, that level might serve as resistance if the price rallies up to it (since it marks the top of a high-volume region where sellers might step in). Conversely, a weekly VAL below current price could act as support on a dip. By noting these levels in the table, a trader planning an entry or exit can anticipate where the price might stall or reverse. Essentially, you get a map of high-interest price levels from different timeframes, which you can mark on your trading chart for guidance.
• Plan Entries and Exits Around Key Levels: Many traders incorporate volume profile levels into their strategies, for instance: buying near VAL (betting that the value area will hold and price will revert upward), or selling/shorting near VAH (expecting the top of value to hold as resistance), or trading breakouts when price moves outside the value area. With the multi-timeframe table, one can refine these tactics by also considering higher timeframe levels. Suppose you see that on the 1-hour chart the price is just above its 1H POC, but the table indicates that just slightly above, there’s also the daily POC. You might delay a long entry until price clears that daily POC, because that could be a stronger intraday barrier. Or if you intend to take profit on a long trade, you might choose a target just below a weekly VAH since price may struggle to climb past that on the first attempt. The indicator thus acts as a guide for precision in entry/exit decisions, aligning them with where liquidity is high.
• Gauge Trend Strength and Directional Bias: By observing where current price is relative to these volume zones, traders can infer certain market conditions. For instance, if price is trading above the VAH of multiple timeframes’ value areas, it suggests the market is in a more bullish or overextended territory (price accepted above prior value), whereas if price is below multiple VALs, it’s in bearish or undervalued territory relative to recent history. If the price stays around a POC, it indicates consolidation or equilibrium (market comfortable at that price). Traders can use this context for bias – e.g., if price is above the weekly VAH, you might lean bullish but watch for potential pullbacks to that VAH level (now a support). If price is below the monthly VAL, you might avoid longs until it re-enters that value area. In essence, the liquidity zones provide context of value vs. price: is price trading within the high-volume areas (implying range-bound behavior) or outside them (implying a breakout or trending move)? This can prevent chasing trades at poor locations.
• Combine with Other Indicators/Analysis: It’s generally advised to not use any single indicator in isolation, and this holds true here. The liquidity zones from this indicator are best used alongside price action or other technical signals for confirmation . For example, if a bullish candlestick reversal pattern forms right at a confluence of a 4H VAL and Daily POC, that’s a stronger buy signal than the pattern alone. Or if an oscillator shows overbought exactly as price hits a weekly VAH, it adds conviction to a possible short. The indicator’s table basically gives you a shortlist of critical price levels; you can then watch how price behaves at those levels (via candlesticks, order flow, etc.) to make the final trade decision. Traders might set alerts for when price approaches one of the listed levels, or they might drop down to a lower timeframe to fine-tune an entry once a key zone is reached. By integrating this volume-based insight with trend analysis, chart patterns, or momentum indicators, one can make more informed and high-probability decisions rather than trading in the dark.
• Risk Management and Stop Placement: High-liquidity zones can also inform stop-loss placement. Ideally, you want your stop on the other side of a strong support/resistance. If you go long near a VAL, you might place your stop just below the VAL (since a move beyond that suggests the high-volume zone didn’t hold). If you short near a VAH, a stop just above the VAH or POC could be logical. Moreover, if multiple timeframes show overlapping zones, a stop beyond all of them could be even safer (albeit at the cost of a wider stop). The indicator helps identify those spots. It also warns you of where not to put a stop – for example, placing a stop-loss right at a POC might be unwise because price could gravitate to that POC repeatedly (due to its magnetic effect as a high-volume price). Instead, a trader might choose a stop beyond the far side of the value area. By using the table’s information, you can align your risk management with areas of high liquidity, reducing the chance of being whipsawed by normal volatility around heavily traded levels .
Benefits of the Multi-Timeframe Liquidity Zones Indicator
Using the Multi-Timeframe Liquidity Zones V6 (Table) indicator offers several key benefits for traders, ultimately aiming to streamline analysis and improve decision quality:
• Consolidated Key Levels: It provides a clear, consolidated view of crucial volume-driven levels from multiple timeframes all at once . This saves time and ensures you always account for major support/resistance zones that come from higher or lower timeframe volume clusters. You won’t accidentally overlook a significant weekly level while focused on a 15-minute chart, for example.
• Enhanced Multi-Timeframe Insight: By aligning information from long-term and short-term periods, the indicator helps traders see the “bigger picture” while still operating on their preferred timeframe. This multi-scale awareness can improve trade timing and confidence. You’re effectively doing multi-timeframe analysis with volume profiles in an efficient manner, which can confirm or caution your trade ideas (e.g., a trend looks strong on the 1H, but the table shows a huge monthly VAH just overhead – a reason to be cautious or take profit early).
• Improved Decision Making and Precision: Knowing where liquidity zones lie allows for more precise entries, exits, and stop placements. Traders can make informed decisions such as waiting for a pullback to a value area before entering, or taking profits before price hits a major POC from a higher timeframe. These decisions are grounded in objectively important price levels, potentially leading to higher probability trades and better risk-reward setups. It essentially enhances your strategy by adding a layer of volume context – you’re trading with an awareness of where the market’s interest is heaviest.
• Volume-Based Confirmation: Price alone can sometimes be deceptive, but volume tells the true story of participation. The liquidity zones indicator provides volume-based confirmation of support/resistance. If a price level is identified by this tool, it’s because significant volume happened there – adding weight to that level’s importance. This can help filter out false support/resistance levels that aren’t backed by volume. In other words, it highlights high-quality levels that many traders (and possibly institutions) have shown interest in.
• Adaptable to Different Trading Styles: Whether one is a scalper looking at intraday (15M, 5M charts) or a swing trader focusing on daily/weekly, the indicator can be configured to those needs. You choose which timeframes and how much data to consider. This means the concept of liquidity zones can be applied universally – from spotting intraday pivot levels with volume, to seeing long-term value zones on an investment. The consistent methodology of POC/VAH/VAL across scales provides a common framework to analyze any market and timeframe.
• Informed Risk Management: As discussed, the knowledge of multi-timeframe volume zones aids in risk management. By placing stops beyond major liquidity areas or avoiding trades that run into strong volume walls, traders can reduce the likelihood of whipsaw losses. It’s an extra layer of defense to ensure your trade plan accounts for where the market has historically found lots of interest (hence likely friction). This level of informed planning can be the difference between a well-managed trade and an avoidable loss.
In conclusion, the Multi-Timeframe Liquidity Zones V6 (Table) indicator serves as a powerful analytical aid, giving traders a structured view of where price is likely to encounter support or resistance based on volume concentrations across timeframes. Its functionality centers on identifying those liquidity zones (via POC, VAH, VAL) and presenting them in an easy-to-read format, while its ultimate purpose is to help traders make more informed decisions. By integrating this tool into their workflow, traders can more confidently navigate price action, knowing the objective volume-based landmarks that lie ahead. Remember that while these volume levels often coincide with strong S/R zones, it’s best to use them in conjunction with other technical or fundamental analysis for confirmation . When used appropriately, the indicator can streamline multi-timeframe analysis and enhance your overall trading strategy , giving you an edge in identifying where the market’s liquidity (and opportunity) resides.
Advanced Session Profile Predictor with SR Boxes & ORAdvanced Session Profile Predictor with Momentum Arrows
Designed for intraday traders, this indicator analyzes price action across Asia, London, and New York sessions to predict market profiles and highlight key trading opportunities. By combining session-based profiling, Opening Range (OR) visualization, and momentum signals from Traders Dynamic Index (TDI), it offers a unique tool for anticipating trends, reversals, and breakouts. Ideal for forex, indices, and crypto on 15M–1H charts.
What Makes This Indicator Unique?
Unlike typical session indicators that only mark time zones or standard TDI scripts that focus on momentum, this tool:
Predicts market profiles (e.g., "Trend Continuation," "NY Manipulation") by analyzing session ranges and directional moves, offering actionable insights into how sessions interact.
Visualizes Opening Range (OR) boxes for the first 15 minutes of each session, helping traders spot early breakout levels.
Integrates TDI with momentum to generate precise bullish/bearish arrows, filtered by session context for improved reliability.
Simplifies decision-making with dynamic profile labels showing real-time long/short conditions based on price levels.
How Does It Work?
Session Tracking:
Asia (00:00–08:00 UTC, yellow), London (08:00–16:00 UTC, red), and New York (13:00–21:00 UTC, blue) sessions are highlighted with background colors and high/low lines (crosses).
OR boxes (first 15 minutes) are drawn for each session: yellow for Asia, red for London, blue for NY.
Profile Prediction:
Compares Asia and London session ranges and directions (e.g., trending if range > 1.5x 5-period SMA).
Examples:
Trend Continuation: Asia and London trend in the same direction—long above Asia high (uptrend) or short below Asia low (downtrend).
NY Manipulation: Asia trends, London consolidates—watch for NY breakouts at London high/low.
Displays the predicted profile and entry conditions in labels (e.g., "IF price hits 1.2000 LONG").
Momentum Arrows:
Uses TDI (RSI period 21, bands 34, fast MA 2) and 12-period momentum.
Green up arrow: Fast MA > upper band (>68) and momentum rising (bullish).
Red down arrow: Fast MA < lower band (<32) and momentum falling (bearish).
Support/Resistance (SR):
Plots dynamic SR boxes based on pivot highs/lows, filtered by volume (inspired by ChartPrime’s methodology, credited below).
How to Use It
Setup: Apply to a 15M–1H chart. Adjust time zone (default: UTC) and session times if needed. Customize TDI/momentum settings for sensitivity.
Trading:
Check the top-right labels for the current profile and entry conditions (e.g., "IF price hits LONG/SHORT").
Confirm entries with green up arrows (bullish) or red down arrows (bearish).
Use OR boxes and session high/low lines to identify breakout or reversal levels.
Example: In "NY Manipulation," wait for price to hit London high (long) or low (short) during NY session, confirmed by an arrow.
Best Markets: Forex (EUR/USD), indices (SPX500), crypto (BTC/USD) with sufficient intraday volatility.
Underlying Concepts
Session Profiling: Detects trends (range > SMA * threshold) and manipulation (e.g., London breaking Asia’s high/low) to predict NY behavior.
OR Boxes: Marks the first 15 minutes’ high/low as a breakout zone (time-based, 900,000 ms).
TDI + Momentum: Combines RSI-based bands with price change (close – close ) for momentum signals.
SR Boxes: Identifies pivots over a lookback period (default 20), scaled by ATR and filtered by volume thresholds.
Credits
The SR box logic is inspired by ChartPrime’s volume-filtered support/resistance methodology, adapted with custom breakout/hold detection. Original authors are credited for their foundational work.
Chart Setup
Displays session backgrounds, OR boxes, high/low lines, TDI arrows, and profile labels. Keep other indicators off for clarity.
[TehThomas] - ICT VI / FVG / IFVG / Liquidity📌 Overview
This TradingView indicator is designed to help traders spot key price inefficiencies and liquidity events based on ICT (Inner Circle Trader) concepts. The script automatically highlights important areas on the chart, such as Volume Imbalances (VI), Fair Value Gaps (FVG), Inverted Fair Value Gaps (IFVG), and Liquidity Sweeps, giving traders a clear view of where price might react.
By marking these zones visually, the indicator serves as a liquidity map, showing where smart money could be targeting orders or rebalancing price action.
🔑 How the Script Works
The indicator detects four major market inefficiencies and liquidity patterns, each offering valuable insights into how price might behave:
1️⃣ Volume Imbalance (VI)
Bullish VI: When the current candle has higher volume than the previous candle in an upward move, this suggests demand is pushing the price up, creating potential buying opportunities.
Bearish VI: When the current candle has higher volume than the previous candle in a downward move, this suggests supply is pushing the price down, highlighting potential selling opportunities.
How to take trades:
Buy: Enter a long position when a bullish VI appears and the price is near a support zone or key level (such as the previous swing low or FVG).
Sell: Enter a short position when a bearish VI appears and the price is near a resistance zone or key level (such as the previous swing high or FVG).
2️⃣ Fair Value Gap (FVG)
Bullish FVG: A gap in price action where the low of the second candle is higher than the high of the first candle. Price tends to return to fill these gaps before continuing upward.
Bearish FVG: A gap in price action where the high of the second candle is lower than the low of the first candle. Price tends to return to fill these gaps before continuing downward.
How to take trades:
Buy: Enter long after a pullback into a bullish FVG zone and if price action shows signs of rejection (such as bullish candlestick patterns or strong momentum).
Sell: Enter short after a pullback into a bearish FVG zone and if price action shows signs of rejection (such as bearish candlestick patterns or strong downward momentum).
3️⃣ Inverted Fair Value Gap (IFVG)
An Inverted Fair Value Gap (IFVG) refers to a Fair Value Gap (FVG) that has already been filled or broken through by price action. Essentially, it is a gap that has been revisited by price and has now been mitigated or broken.
Example:
For Continuation: After price fills the gap, it may continue in the same direction. If price breaks through a bullish FVG and shows continuation, it may signal that the market is still in a strong uptrend.
For Reversal: If the price returns to an inverted FVG after breaching it, and then starts showing signs of reversal (e.g., reversal candlestick patterns, or a shift in momentum), this could signal an entry point in the opposite direction.
How to take trades:
Buy: Consider entering long when price returns to an IFVG zone that aligns with other bullish confluences, such as a bullish VI or liquidity sweep.
Sell: Consider entering short when price returns to a bearish IFVG zone that aligns with other bearish confluences, such as a bearish VI or liquidity sweep.
4️⃣ Liquidity Sweeps
Liquidity sweeps occur when the market temporarily breaks a key high or low to trigger stop-loss orders or lure traders into the wrong direction before reversing.
How to take trades:
Buy: If a liquidity sweep breaks a key resistance or swing high but fails to close above it, enter long when price begins to reverse in the opposite direction, ideally near a previous support or FVG zone.
Sell: If a liquidity sweep breaks a key support or swing low but fails to close below it, enter short when price begins to reverse in the opposite direction, ideally near a previous resistance or FVG zone.
🎯 Trade Setup and Confirmation Strategy
Here’s how to combine these concepts for high-probability trade setups:
Liquidity Sweeps + Volume Imbalances:
If a liquidity sweep occurs in conjunction with a volume imbalance (especially on a higher timeframe), this can act as a confirmation signal to enter the trade.
Example: A liquidity sweep breaks a previous high, but the price fails to close above it. If this happens alongside a break of a Volume imbalance (VI) , it could be a strong signal to sell.
FVG/IFVG Mitigation + Liquidity Sweeps:
Price often returns to mitigate imbalances, and when a liquidity sweep occurs near an unfilled gap, it could trigger a reversal.
Example: After an upward trend, a bearish liquidity sweep breaks a previous swing low, and price then revisits a bearish FVG and creates an IFVG, signaling an opportunity to buy.
Directional Bias (Higher Timeframe Analysis):
Always consider the higher timeframe trend to confirm trade direction. A bullish FVG or bullish VI on the lower timeframe aligns with a bullish trend on the higher timeframe.
Confluence with Key Levels:
When these patterns align with important price levels such as support, resistance, or previously identified swing highs/lows, it enhances the probability of a successful trade.
⚙️ How It Helps in Trading Strategy
The indicator assists in several aspects of trading:
Liquidity Hunts: Price often sweeps liquidity before making major moves.
Entry Confirmation: Use imbalances or sweeps as extra confluence for trade entries.
Mitigation Zones: Price frequently returns to fill inefficiencies before reversing.
Directional Bias: Bullish or bearish gaps align with the higher timeframe narrative.
🔍 ICT Concepts Included
✅Volume Imbalance (VI): High-volume inefficiencies.
✅Fair Value Gap (FVG): Standard price gaps.
✅Inverted Fair Value Gap (IFVG): Filtered large price gaps.
✅Liquidity Sweeps: Stop-hunting patterns by smart money.
⚠️ Disclaimer
This indicator is built for educational purposes and should not be considered financial advice. Trading carries risk, and no tool guarantees profits. Always use proper risk management and perform your own analysis before entering any trade.
AstroTrading_DragonCombine1. Table Setup and User Inputs
Table Position and Font Size:
The script begins by asking the user to select a table position (e.g. Top Right) and a font size (Small, Medium, Large, Huge) via input options.
pinescript
Kopyala
positionInput = input.string("Sağ Üst Köşe", title="Tablo Konumu", options= )
fontSizeInput = input.string("Orta", title="Yazı Punto Büyüklüğü", options= )
Table Creation:
A table is created using table.new with 6 rows and 4 columns. The location of the table is determined by the selected input. This table will later display the name, entry, target, and stop levels for each of the five strategies.
2. Variable Declarations
The script defines several persistent variables to store levels for each indicator. These include:
Entry, target, and stop levels for each of the five sub-indicators (labeled as _1, _2, _3, _4, and _5).
Examples include targetLevel_1, fibLow_1, lastEntry_1, lastTarget_1, etc.
3. Indicator 1 – AstroTrading_AlphaBalance
Logic:
This part examines the previous candle’s high and low to compute its range. It then defines two conditions:
conditionUp_1: When the current close exceeds the previous high by at least 50% of the previous range.
conditionDown_1: When the current close falls below the previous low by 50% of the previous range.
Action:
Depending on whether the move is upward or downward, the script sets:
For an upward move:
fibLow_1 is set to the current low.
The entry level is taken as the current high.
The target is computed by taking the high and subtracting –0.786 times the range (this negative multiplier inverts the move).
The stop is set at the previous low.
For a downward move, similar logic applies with reversed roles.
Purpose:
This module generates a primary signal (AlphaBalance) based on extreme candle movements relative to the prior candle’s range.
4. Indicator 2 – AstroTrading_CandleElongation
Higher Timeframe Data:
The script uses the request.security function to obtain high, low, close, and open values from a user-specified timeframe.
Fibonacci Extension Calculation:
A function fiboExtension calculates two Fibonacci extension levels (approximately 0.786 and 1.618 multipliers) based on three price points.
Signal Conditions:
It checks if the previous candle (two bars ago) meets certain criteria relative to its open, and if the current candle’s close confirms an elongation move.
Output:
If conditions are met, the script sets:
candleEntry_2 to the lower Fibonacci level,
candleTarget_2 to the higher Fibonacci extension,
candleStop_2 to the current low (for a bullish setup) or high (for bearish).
Purpose:
This sub-indicator looks to capture significant candle elongation moves by using Fibonacci extension levels to define entry, target, and stop.
5. Indicator 3 – AstroTrading_FlaGama
Similar to a Flag Formation:
Like the previous “FlaGama” indicator, it checks if the current close is more than 50% beyond the previous candle’s high (conditionUp_3) or below the previous low (conditionDown_3).
Bar Coloring:
If either condition is met, the bar is colored orange to signal an extreme move.
Signal Generation:
Depending on the move’s direction:
Bullish Setup:
Calculates a Fibonacci level at 78.6% from the current low to high.
Sets the entry at this Fibonacci level.
The target is computed by adding the difference between the current high and the Fibonacci level to the current high.
The stop is set at the current low.
Bearish Setup:
Mirrors the Fibonacci calculation to derive a level for short entry.
The target is set below the current low, and the stop is at the current high.
Purpose:
The FlaGama section provides confirmation signals when extreme moves occur, helping traders decide on potential reversals.
6. Indicator 4 – AstroTrading_HermDown
EMA Crossover:
An EMA (111-period) is calculated. A crossover of the EMA above the close triggers a “kesilme” (cutoff) event.
First Candle Identification:
Once a crossover is detected, the next candle’s close is monitored. If that candle’s close remains below the cutoff level, it is considered the “first candle” of the HermDown setup.
Fibonacci Retracement:
It then calculates the highest high over the last 30 bars and derives a target level (fibNeg0618_4) at about 48.6% retracement from that high.
Signal Levels:
The entry is the cutoff close, the target is the calculated Fibonacci level, and the stop is the low of the cutoff candle.
Purpose:
This module aims to capture bearish reversals (HermDown) when the price drops sharply below an EMA, using Fibonacci retracement as a guide.
7. Indicator 5 – AstroTrading_HermUp
EMA Crossunder:
Similarly, an EMA (111-period) is used. A crossunder (EMA crossing below the close) signals a potential bullish reversal.
First Candle Confirmation:
The next candle’s close is checked to confirm the move.
Fibonacci Level:
A Fibonacci extension (approximately 61.8% of the distance from the cutoff close to the high) is computed to serve as the target.
Signal Levels:
The entry is set at the cutoff close, the target is the Fibonacci level, and the stop is set at the low.
Purpose:
This section captures bullish reversal signals (HermUp) when the price moves above an EMA.
8. Displaying Levels in a Table
Aggregating Data:
The script gathers the entry, target, and stop levels from all five sub-indicators.
Table Layout:
The table displays five rows (one for each indicator) with four columns:
Indicator name (e.g., “AlphaBalance”, “CandleElongation”, “FlaGama”, “HermDown”, “HermUp”)
Entry level
Target level
Stop level
Color Coding:
Entry cells have a blue background.
Target cells are colored green if above the current close or red if below.
Stop cells are given a gray background.
Purpose:
This consolidated view allows traders to quickly assess all key levels from different strategies on the chart.
Summary
The “AstroTrading_DragonCombine” indicator is a multi-faceted tool that merges five distinct trading setups into one comprehensive display. Each sub-indicator utilizes a unique method—ranging from extreme candle moves and Fibonacci extensions to EMA crossovers—to determine entry, target, and stop levels. These levels are then neatly summarized in a table overlay on the chart. By combining these approaches, traders can gain a broader perspective on market conditions and potential reversal points, enhancing their decision-making process while adhering to sound risk management principles.
This explanation is written to meet TradingView’s script publication standards, providing a clear, objective, and detailed overview of the indicator’s functionality and logic.
MTF Ichimoku Conversion Line SMA with H/L mirrored levelsWelcome to MTF Ichimoku Conversion Line with SMA Highs/Lows Extended Lines!
1. Overview
It is designed to provide a multi-timeframe view of market trends and potential support/resistance levels by obtaining a Simple Moving Average (SMA) of the Conversion Line of Ichimoku Equibilium (Ichimoku Kinko-Hyo), which acts as a substantial trend line on the candlestick chart. The SMA of the conversion line smooths out price fluctuations and indicates the overall trend direction—if the candles are above it, the trend can be read as an uptrend, while below it, the trend can be read as a downtrend.
2. Calculation
The indicator first calculates the Conversion Line (see the description of Ichimoku theory anywhere, e.g., Wikipedia), as the average of the highest high and lowest low over a user-defined period (Conversion Line Length, default is 9, also recommended is 9).
It then retrieves this Conversion Line from a higher timeframe (MTF Timeframe) to add a broader perspective. Using a specified period (SMA Length)., an SMA is computed on this multi-timeframe conversion line. This SMA serves as a trend line that visually represents the prevailing price trend, making it easier to assess market direction.
3. Pivot Highs/low detection and drawing their extensions
In addition, the indicator identifies pivot highs and lows from the SMA data using a defined pivot length. When these pivots occur, horizontal lines are drawn and extended across the chart. These extended lines (drawn in a yellowish color by default) include a full extension, a half extension, and a middle extension line representing the midpoint between the high and low pivot.
4. Mirror lines
The indicator also offers optional mirror line features. When the Mirror Upside option is enabled, five additional lines are drawn above the highest extended yellow line at equal intervals. Similarly, when the Mirror Downside option is enabled, five lines are drawn below the lowest extended yellow line. These light gray mirror lines serve as extra reference levels, which can help identify potential support or resistance zones.
5. Parameters
User parameters include:
- Conversion Line Length: The period used to calculate the conversion line.
- MTF Timeframe: The higher timeframe from which the conversion line is obtained.
- SMA Length: The period over which the SMA is calculated on the conversion line.
- SMA Mode: A toggle to display either the SMA or the raw conversion line (SMA recommended).
- SMA Line Width: The thickness of the SMA line.
- Pivot Length for SMA Highs/Lows: The period used to detect pivot highs and lows in the SMA.
- Horizontal Extension: Number of bars by which the pivot and extended lines are drawn across the chart
- Colors for High and Low Pivot Lines and Extended Lines: Customizable colors are used to draw the lines.
Mirror Upside and Mirror Downside: These options enable drawing additional mirror lines above and below the extended lines.
- Hide Old Lines: An option to hide previous pivot lines once new ones are drawn for a cleaner chart. Turned on by default.
6. Conclusion
Overall, the Conversion Line SMA in this indicator smooths out the conversion line data and effectively functions as a trend line for the candlestick chart, helping traders visually interpret the underlying market trend. The extended and mirror lines provide further context for potential price reversal or continuation areas, making this a powerful tool for multi-timeframe technical analysis.
Opening Range, Initial Balance, Opening Price, Pre-market Levels### Description of the Indicator: **Opening Range, Initial Balance, Opening Price, Pre-market Levels**
This custom TradingView indicator provides a comprehensive view of key price levels for intraday trading, specifically designed to track important levels from the Opening Range (OR), Initial Balance (IB), Opening Price (OP), and Pre-market session (PM). These levels are essential for traders to gauge potential market movements and identify critical areas of support and resistance.
#### **Features:**
1. **Opening Range (OR):**
- This is the high and low of the first 30 minutes of the regular market session (09:30 - 10:00 EST).
- The OR high and low act as significant levels that may influence price movement for the rest of the day.
- The mid-level of the Opening Range (OR Mid) is also plotted to give a more detailed view of potential price action.
2. **Initial Balance (IB):**
- The Initial Balance is the range created during the first hour of market activity (09:30 - 10:30 EST).
- This range often sets the tone for the market's direction. The IB high and low, along with the IB midline, are plotted for quick reference.
3. **Opening Price (OP):**
- The opening price of the market is marked as a circle and labeled "OP."
- This level provides context for market sentiment when compared to the high and low levels.
4. **Pre-market Levels (PM):**
- The pre-market session (04:00 - 09:30 EST) has its own important levels that are calculated for the high, low, and mid range (PM High, PM Low, and PM Mid).
- These levels are plotted and are useful for traders to understand where the market stood before the regular session opened.
#### **Customization Options:**
- **Exchange Timezone:** You can choose whether to display the times in the exchange's local timezone or in your own preferred timezone.
- **Mid Levels Display:** You can toggle whether the mid levels for each range (OR, IB, PM) should be shown on the chart.
- **Level Color Change:** The colors of the plotted levels (high, low, mid) change based on whether the price is above or below the respective level, making it easy to visualize potential support and resistance.
- **Label Positions:** The position of the labels (OR, IB, OP, PM) on the chart can be customized to avoid overlap with other data points.
#### **Key Use Cases:**
- **Intraday Trend Analysis:** Use the OR and IB to identify key levels for the day, providing insights into the possible trend or range for the day.
- **Pre-market Insights:** The PM levels are crucial for understanding where the market stood during the pre-market hours and can be used as reference points during the regular session.
- **Potential Support and Resistance:** The high and low levels of the OR, IB, and PM sessions can act as potential support or resistance, which are useful for setting stop-loss and take-profit levels.
#### **How to Use:**
- Pay attention to the levels provided for OR, IB, and PM as potential entry and exit points.
- Watch for breakouts or reversals around these levels, especially when combined with other technical indicators or price action patterns.
- The mid levels offer an additional reference to assess price direction or identify possible areas of consolidation.
This indicator is perfect for day traders who rely on key intraday levels and pre-market activity to make informed trading decisions. It helps to streamline the process of identifying potential breakouts, reversals, and ranges in the market.
2022 Model ICT Entry Strategy [TradingFinder] One Setup For Life🔵 Introduction
The ICT 2022 model, introduced by Michael Huddleston, is an advanced trading strategy rooted in liquidity and price imbalance, where time and price serve as the core elements. This ICT 2022 trading strategy is an algorithmic approach designed to analyze liquidity and imbalances in the market. It incorporates concepts such as Fair Value Gap (FVG), Liquidity Sweep, and Market Structure Shift (MSS) to help traders identify liquidity movements and structural changes in the market, enabling them to determine optimal entry and exit points for their trades.
This Full ICT Day Trading Model empowers traders to pinpoint the Previous Day High/Low as well as the highs and lows of critical sessions like the London and New York sessions. These levels act as Liquidity Zones, which are frequently swept prior to a market structure shift (MSS) or a retracement to areas such as Optimal Trade Entry (OTE).
Bullish :
Bearish :
🔵 How to Use
The ICT 2022 model is a sophisticated trading strategy that focuses on identifying key liquidity levels and price movements. It operates based on two main principles. In the first phase, the price approaches liquidity zones and sweeps critical levels such as the previous day’s high or low and key session levels.
This movement is known as a Liquidity Sweep. In the second phase, following the sweep, the price retraces to areas like the FVG (Fair Value Gap), creating ideal entry points for trades. Below is a detailed explanation of how to apply this strategy in bullish and bearish setups.
🟣 Bullish ICT 2022 Model Setup
To use the ICT 2022 model in a bullish setup, start by identifying the Previous Day High/Low or key session levels, such as those of the London or New York sessions. In a bullish setup, the price usually moves downward first, sweeping the Liquidity Low. This move, known as a Liquidity Sweep, reflects the collection of buy orders by major market participants.
After the liquidity sweep, the price should shift market structure and start moving upward; this shift, referred to as Market Structure Shift (MSS), signals the beginning of an upward trend. Following MSS, areas like FVG, located within the Discount Zone, are identified. At this stage, the trader waits for the price to retrace to these zones. Once the price returns, a long trade is executed.
Finally, the stop-loss should be set below the liquidity low to manage risk, while the take-profit target is usually placed above the previous day’s high or other identified liquidity levels. This structure enables traders to take advantage of the upward price movement after the liquidity sweep.
🟣 Bearish ICT 2022 Model Setup
To identify a bearish setup in the ICT 2022 model, begin by marking the Previous Day High/Low or key session levels, such as the London or New York sessions. In this scenario, the price typically moves upward first, sweeping the Liquidity High. This move, known as a Liquidity Sweep, signifies the collection of sell orders by key market players.
After the liquidity sweep, the price should shift market structure downward. This movement, called the Market Structure Shift (MSS), indicates the start of a downtrend. Following MSS, areas such as FVG, found within the Premium Zone, are identified. At this stage, the trader waits for the price to retrace to these areas. Once the price revisits these zones, a short trade is executed.
In this setup, the stop-loss should be placed above the liquidity high to control risk, while the take-profit target is typically set below the previous day’s low or another defined liquidity level. This approach allows traders to capitalize on the downward price movement following the liquidity sweep.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT 2022 model is a comprehensive and advanced trading strategy designed around key concepts such as liquidity, price imbalance, and market structure shifts (MSS). By focusing on the sweep of critical levels such as the previous day’s high/low and important trading sessions like London and New York, this strategy enables traders to predict market movements with greater precision.
The use of tools like FVG in this model helps traders fine-tune their entry and exit points and take advantage of bullish and bearish trends after liquidity sweeps. Moreover, combining this strategy with precise timing during key trading sessions allows traders to minimize risk and maximize returns.
In conclusion, the ICT 2022 model emphasizes the importance of time and liquidity, making it a powerful tool for both professional and novice traders. By applying the principles of this model, you can make more informed trading decisions and seize opportunities in financial markets more effectively.
SSL Channel MTFSSL Channel with MTF support, This eliminates the noise of a basic SSL Channel script which is based on ErwinBeckers SSL Channel. So i have used a Multi Time Frame approach to have a clear confirmation of trend and reduce Noise and False signals unlike basic SSL Channel.
This script can be used to determine.
Support/Resistance
High/Low Breakout
Trend Direction
MA candles for Entry
The high and low sma are plotted as SSL CHANNEL when ever the high and low sma cross each other a direction change is observed.
The direction of SSL channel determines the trend of the price. The length of the channel can be changed as required a low value has a high noise and direction can be determined with low accuracy. Increasing the length of SSL channel has high accuracy trend confirmation.
The MTF SSL Channel uses plot from higher timeframe this helps in using SSL Channel as a Price Action Tool. Price when ever crosses over or below the channel determines a breakout. Price tries to move between the High SMA line and Low SMA Line of the SSL Channel rejection, breakouts can be easily observed on a lower timeframe using SSL Channel Plot from a higher timeframe.
I have used 5min/15min chart with MTF SSL from a 1Hr/4Hr and a length of 5 instead of 10. This helps quick direction changes over a period of 1hr to 4hr. Price is trapped within the High SMA and Low SMA lines of SSL Channel. In addition to SSL High Low and average mid line is plotted to additional reference.
Buy Sell Signals are plotted based on crossover of SMA High and Low.
Candle are Plotted Using a SMA with length of 5. This Candle Plot can be used to make an entry based on direction confirmation of SSL. keep in mind the direction of SSL Plot and the candle must be same. Preferably Entry can made above or below the midline of SSL Channel. The Candle Plot eliminates the Noise of traditional Japanese Candlesticks.
Additionally MACD Crossover and MACD Trend line confirmations can be used to confirm a Buy Sell and Entry signals
Alerts are also plotted accordingly.
Uptrick: Fisher Eclipse1. Name and Purpose
Uptrick: Fisher Eclipse is a Pine version 6 extension of the basic Fisher Transform indicator that focuses on highlighting potential turning points in price data. Its purpose is to allow traders to spot shifts in momentum, detect divergence, and adapt signals to different market environments. By combining a core Fisher Transform with additional signal processing, divergence detection, and customizable aggressiveness settings, this script aims to help users see when a price move might be losing momentum or gaining strength.
2. Overview
This script uses a Fisher Transform calculation on the average of each bar’s high and low (hl2). The Fisher Transform is designed to amplify price extremes by mapping data into a different scale, making potential reversals more visible than they might be with standard oscillators. Uptrick: Fisher Eclipse takes this concept further by integrating a signal line, divergence detection, bar coloring for momentum intensity, and optional thresholds to reduce unwanted noise.
3. Why Use the Fisher Transform
The Fisher Transform is known for converting relatively smoothed price data into a more pronounced scale. This transformation highlights where markets may be overextended. In many cases, standard oscillators move gently, and traders can miss subtle hints that a reversal might be approaching. The Fisher Transform’s mathematical approach tightens the range of values and sharpens the highs and lows. This behavior can allow traders to see clearer peaks and troughs in momentum. Because it is often quite responsive, it can help anticipate areas where price might change direction, especially when compared to simpler moving averages or traditional oscillators. The result is a more evident signal of possible overbought or oversold conditions.
4. How This Extension Improves on the Basic Fisher Transform
Uptrick: Fisher Eclipse adds multiple features to the classic Fisher framework in order to address different trading styles and market behaviors:
a) Divergence Detection
The script can detect bullish or bearish divergences between price and the oscillator over a chosen lookback period, helping traders anticipate shifts in market direction.
b) Bar Coloring
When momentum exceeds a certain threshold (default 3), bars can be colored to highlight surges of buying or selling pressure. This quick visual reference can assist in spotting periods of heightened activity. After a bar color like this, usually, there is a quick correction as seen in the image below.
c) Signal Aggressiveness Levels
Users can choose between conservative, moderate, or aggressive signal thresholds. This allows them to tune how quickly the indicator flags potential entries or exits. Aggressive settings might suit scalpers who need rapid signals, while conservative settings may benefit swing traders preferring fewer, more robust indications.
d) Minimum Movement Filter
A configurable filter can be set to ensure that the Fisher line and its signal have a sufficient gap before triggering a buy or sell signal. This step is useful for traders seeking to minimize signals during choppy or sideways markets. This can be used to eliminate noise as well.
By combining all these elements into one package, the indicator attempts to offer a comprehensive toolkit for those who appreciate the Fisher Transform’s clarity but also desire more versatility.
5. Core Components
a) Fisher Transform
The script calculates a Fisher value using normalized price over a configurable length, highlighting potential peaks and troughs.
b) Signal Line
The Fisher line is smoothed using a short Simple Moving Average. Crossovers and crossunders are one of the key ways this indicator attempts to confirm momentum shifts.
c) Divergence Logic
The script looks back over a set number of bars to compare current highs and lows of both price and the Fisher oscillator. When price and the oscillator move in opposing directions, a divergence may occur, suggesting a possible upcoming reversal or weakening trend.
d) Thresholds for Overbought and Oversold
Horizontal lines are drawn at user-chosen overbought and oversold levels. These lines help traders see when momentum readings reach particular extremes, which can be especially relevant when combined with crossovers in that region.
e) Intensity Filter and Bar Coloring
If the magnitude of the change in the Fisher Transform meets or exceeds a specified threshold, bars are recolored. This provides a visual cue for significant momentum changes.
6. User Inputs
a) length
Defines how many bars the script looks back to compute the highest high and lowest low for the Fisher Transform. A smaller length reacts more quickly but can be noisier, while a larger length smooths out the indicator at the cost of responsiveness.
b) signal aggressiveness
Adjusts the buy and sell thresholds for conservative, moderate, and aggressive trading styles. This can be key in matching the indicator to personal risk preferences or varying market conditions. Conservative will give you less signals and aggressive will give you more signals.
c) minimum movement filter
Specifies how far apart the Fisher line and its signal line must be before generating a valid crossover signal.
d) divergence lookback
Controls how many bars are examined when determining if price and the oscillator are diverging. A larger setting might generate fewer signals, while a smaller one can provide more frequent alerts.
e) intensity threshold
Determines how large a change in the Fisher value must be for the indicator to recolor bars. Strong momentum surges become more noticeable.
f) overbought level and oversold level
Lets users define where they consider market conditions to be stretched on the upside or downside.
7. Calculation Process
a) Price Input
The script uses the midpoint of each bar’s high and low, sometimes referred to as hl2.
hl2 = (high + low) / 2
b) Range Normalization
Determine the maximum (maxHigh) and minimum (minLow) values over a user-defined lookback period (length).
Scale the hl2 value so it roughly fits between -1 and +1:
value = 2 * ((hl2 - minLow) / (maxHigh - minLow) - 0.5)
This step highlights the bar’s current position relative to its recent highs and lows.
c) Fisher Calculation
Convert the normalized value into the Fisher Transform:
fisher = 0.5 * ln( (1 + value) / (1 - value) ) + 0.5 * fisher_previous
fisher_previous is simply the Fisher value from the previous bar. Averaging half of the new transform with half of the old value smooths the result slightly and can prevent erratic jumps.
ln is the natural logarithm function, which compresses or expands values so that market turns often become more obvious.
d) Signal Smoothing
Once the Fisher value is computed, a short Simple Moving Average (SMA) is applied to produce a signal line. In code form, this often looks like:
signal = sma(fisher, 3)
Crossovers of the fisher line versus the signal line can be used to hint at changes in momentum:
• A crossover occurs when fisher moves from below to above the signal.
• A crossunder occurs when fisher moves from above to below the signal.
e) Threshold Checking
Users typically define oversold and overbought levels (often -1 and +1).
Depending on aggressiveness settings (conservative, moderate, aggressive), these thresholds are slightly shifted to filter out or include more signals.
For example, an oversold threshold of -1 might be used in a moderate setting, whereas -1.5 could be used in a conservative setting to require a deeper dip before triggering.
f) Divergence Checks
The script looks back a specified number of bars (divergenceLookback). For both price and the fisher line, it identifies:
• priceHigh = the highest hl2 within the lookback
• priceLow = the lowest hl2 within the lookback
• fisherHigh = the highest fisher value within the lookback
• fisherLow = the lowest fisher value within the lookback
If price forms a lower low while fisher forms a higher low, it can signal a bullish divergence. Conversely, if price forms a higher high while fisher forms a lower high, a bearish divergence might be indicated.
g) Bar Coloring
The script monitors the absolute change in Fisher values from one bar to the next (sometimes called fisherChange):
fisherChange = abs(fisher - fisher )
If fisherChange exceeds a user-defined intensityThreshold, bars are recolored to highlight a surge of momentum. Aqua might indicate a strong bullish surge, while purple might indicate a strong bearish surge.
This color-coding provides a quick visual cue for traders looking to spot large momentum swings without constantly monitoring indicator values.
8. Signal Generation and Filtering
Buy and sell signals occur when the Fisher line crosses the signal line in regions defined as oversold or overbought. The optional minimum movement filter prevents triggering if Fisher and its signal line are too close, reducing the chance of small, inconsequential price fluctuations creating frequent signals. Divergences that appear in oversold or overbought regions can serve as additional evidence that momentum might soon shift.
9. Visualization on the Chart
Uptrick: Fisher Eclipse plots two lines: the Fisher line in one color and the signal line in a contrasting shade. The chart displays horizontal dashed lines where the overbought and oversold levels lie. When the Fisher Transform experiences a sharp jump or drop above the intensity threshold, the corresponding price bars may change color, signaling that momentum has undergone a noticeable shift. If the indicator detects bullish or bearish divergence, dotted lines are drawn on the oscillator portion to connect the relevant points.
10. Market Adaptability
Because of the different aggressiveness levels and the optional minimum movement filter, Uptrick: Fisher Eclipse can be tailored to multiple trading styles. For instance, a short-term scalper might select a smaller length and more aggressive thresholds, while a swing trader might choose a longer length for smoother readings, along with conservative thresholds to ensure fewer but potentially stronger signals. During strongly trending markets, users might rely more on divergences or large intensity changes, whereas in a range-bound market, oversold or overbought conditions may be more frequent.
11. Risk Management Considerations
Indicators alone do not ensure favorable outcomes, and relying solely on any one signal can be risky. Using a stop-loss or other protections is often suggested, especially in fast-moving or unpredictable markets. Divergence can appear before a market reversal actually starts. Similarly, a Fisher Transform can remain in an overbought or oversold region for extended periods, especially if the trend is strong. Cautious interpretation and confirmation with additional methods or chart analysis can help refine entry and exit decisions.
12. Combining with Other Tools
Traders can potentially strengthen signals from Uptrick: Fisher Eclipse by checking them against other methods. If a moving average cross or a price pattern aligns with a Fisher crossover, the combined evidence might provide more certainty. Volume analysis may confirm whether a shift in market direction has participation from a broad set of traders. Support and resistance zones could reinforce overbought or oversold signals, particularly if price reaches a historical boundary at the same time the oscillator indicates a possible reversal.
13. Parameter Customization and Examples
Some short-term traders run a 15-minute chart, with a shorter length setting, aggressively tight oversold and overbought thresholds, and a smaller divergence lookback. This approach produces more frequent signals, which may appeal to those who enjoy fast-paced trading. More conservative traders might apply the indicator to a daily chart, using a larger length, moderate threshold levels, and a bigger divergence lookback to focus on broader market swings. Results can differ, so it may be helpful to conduct thorough historical testing to see which combination of parameters aligns best with specific goals.
14. Realistic Expectations
While the Fisher Transform can reveal potential turning points, no mathematical tool can predict future price behavior with full certainty. Markets can behave erratically, and a period of strong trending may see the oscillator pinned in an extreme zone without a significant reversal. Divergence signals sometimes appear well before an actual trend change occurs. Recognizing these limitations helps traders manage risk and avoids overreliance on any one aspect of the script’s output.
15. Theoretical Background
The Fisher Transform uses a logarithmic formula to map a normalized input, typically ranging between -1 and +1, into a scale that can fluctuate around values like -3 to +3. Because the transformation exaggerates higher and lower readings, it becomes easier to spot when the market might have stretched too far, too fast. Uptrick: Fisher Eclipse builds on that foundation by adding a series of practical tools that help confirm or refine those signals.
16. Originality and Uniqueness
Uptrick: Fisher Eclipse is not simply a duplicate of the basic Fisher Transform. It enhances the original design in several ways, including built-in divergence detection, bar-color triggers for momentum surges, thresholds for overbought and oversold levels, and customizable signal aggressiveness. By unifying these concepts, the script seeks to reduce noise and highlight meaningful shifts in market direction. It also places greater emphasis on helping traders adapt the indicator to their specific style—whether that involves frequent intraday signals or fewer, more robust alerts over longer timeframes.
17. Summary
Uptrick: Fisher Eclipse is an expanded take on the original Fisher Transform oscillator, including divergence detection, bar coloring based on momentum strength, and flexible signal thresholds. By adjusting parameters like length, aggressiveness, and intensity thresholds, traders can configure the script for day-trading, swing trading, or position trading. The indicator endeavors to highlight where price might be shifting direction, but it should still be combined with robust risk management and other analytical methods. Doing so can lead to a more comprehensive view of market conditions.
18. Disclaimer
No indicator or script can guarantee profitable outcomes in trading. Past performance does not necessarily suggest future results. Uptrick: Fisher Eclipse is provided for educational and informational purposes. Users should apply their own judgment and may want to confirm signals with other tools and methods. Deciding to open or close a position remains a personal choice based on each individual’s circumstances and risk tolerance.
6 Band Parametric EQThis indicator implements a complete parametric equalizer on any data source using high-pass and low-pass filters, high and low shelving filters, and six fully configurable bell filters. Each filter stage features standard audio DSP controls including frequency, Q factor, and gain where applicable. While parametric EQ is typically used for audio processing, this implementation raises questions about the nature of filtering in technical analysis. Why stop at simple moving averages when you can shape your signal's frequency response with surgical precision? The answer may reveal more about our assumptions than our indicators.
Filter Types and Parameters
High-Pass Filter:
A high-pass filter attenuates frequency components below its cutoff frequency while passing higher frequencies. The Q parameter controls resonance at the cutoff point, with higher values creating more pronounced peaks.
Low-Pass Filter:
The low-pass filter does the opposite - it attenuates frequencies above the cutoff while passing lower frequencies. Like the high-pass, its Q parameter affects the resonance at the cutoff frequency.
High/Low Shelf Filters:
Shelf filters boost or cut all frequencies above (high shelf) or below (low shelf) the target frequency. The slope parameter determines the steepness of the transition around the target frequency , with a value of 1.0 creating a gentle slope and lower values making the transition more abrupt. The gain parameter sets the amount of boost or cut in decibels.
Bell Filters:
Bell (or peaking) filters create a boost or cut centered around a specific frequency. A bell filter's frequency parameter determines the center point of the effect, while Q controls the width of the affected frequency range - higher Q values create a narrower bandwidth. The gain parameter defines the amount of boost or cut in decibels.
All filters run in series, processing the signal in this order: high-pass → low shelf → bell filters → high shelf → low-pass. Each stage can be independently enabled or bypassed.
The frequency parameter for all filters represents the period length of the targeted frequency component. Lower values target higher frequencies and vice versa. All gain values are in decibels, where positive values boost and negative values cut.
The 6-Band Parametric EQ combines these filters into a comprehensive frequency shaping tool. Just as audio engineers use parametric EQs to sculpt sound, this indicator lets you shape market data's frequency components with surgical precision. But beyond its technical implementation, this indicator serves as a thought experiment about the nature of filtering in technical analysis. While traditional indicators often rely on simple moving averages or single-frequency filters, the parametric EQ takes this concept to its logical extreme - offering complete control over the frequency domain of price action. Whether this level of filtering precision is useful for analysis is perhaps less important than what it reveals about our assumptions regarding market data and its frequency components.
Previous Week High & Low with middle lineDescription:
The Previous Week High & Low Indicator is a powerful tool designed to provide traders with key reference levels from the previous trading week. It dynamically calculates and plots the previous week's high, low, and midpoint levels directly on your chart, helping you identify critical support and resistance zones.
Features:
1. **Previous Week High and Low Lines**:
- The indicator displays the high and low prices of the previous trading week, allowing you to analyze price action relative to these levels.
- These lines are plotted as step lines, visible only during the active trading days (Monday to Friday), ensuring clean and uncluttered charts.
2. Midpoint Line:
- The midpoint between the previous week's high and low is calculated and displayed as a reference level.
- This white line can act as a psychological pivot point for market participants.
3. Customizable Display:
- You can toggle the visibility of the high and low lines using input options, tailoring the indicator to your preferences.
4. Precision and Aesthetics:
- The lines are plotted with precision and styled for clarity, using subtle transparency for an unobtrusive yet informative appearance.
Use Case:
- This indicator is ideal for traders who rely on historical price levels for planning entries, exits, or stop-loss placements.
- It works seamlessly with any timeframe and asset, making it versatile for various trading strategies.
How It Works:
- The indicator fetches the previous week's high and low prices using the weekly timeframe and "lookahead" mode to ensure these levels remain static after the week's close.
- The lines are plotted only on weekdays (Monday to Friday) to exclude weekend data, ensuring accuracy for markets that operate 24/5.
This tool simplifies your chart analysis and empowers you to make informed trading decisions based on historical price dynamics.
Asia Sessions AutoPlotting**Asia Sessions AutoPlotting**
This script is designed to automatically detect and plot the Asia session high and low levels directly on your chart, providing key session data for trading analysis. It is highly customizable, making it an essential tool for traders who rely on session data for decision-making.
### Key Features:
- **Asia Session Detection**: Automatically identifies the Asia session based on user-defined time settings (default: 0000-0845 UTC).
- **High/Low Line Plotting**: Displays high and low price levels for the session with customizable colors and line styles.
- **Line Extensions**: Option to extend session high/low lines for future price action reference.
- **Session Background Fill**: Adds an optional colored background to highlight the Asia session period.
- **Day Labels**: Includes labels for the session high/low levels with the corresponding day of the week.
- **Dynamic Session History**: Limits the display to a user-specified number of past sessions (default: 7) to keep the chart clean and focused.
- **Customizable Colors**: Highlights Mondays with unique colors for easy identification, while other weekdays use a different scheme.
### Use Cases:
- Identify key session levels for trading strategies.
- Monitor Asia session dynamics and their impact on subsequent sessions.
- Spot significant price reactions around session highs/lows.
### Inputs:
- **Session Time**: Adjust the session time to match your preferred Asia trading hours.
- **Toggle High/Low Lines**: Enable or disable the plotting of session highs and lows.
- **Line Extensions**: Extend the session high/low lines into future bars for better visualization.
- **Background Highlight**: Toggle a colored background for the Asia session.
- **Maximum Sessions**: Define how many past sessions to display for clarity.
This script is perfect for intraday traders, scalpers, and swing traders looking to gain insight into the Asia session and its influence on global markets. Fully adjustable and easy to use, it enhances your chart with critical information at a glance.
Simply add it to your TradingView chart, configure your settings, and let it do the work for you!
Fibonacci Extensions and Retracements for Selected TimeframesPurpose of the Script
This script plots Fibonacci levels (retracements and extensions) based on the high and low points of the previous day, previous week, or previous month. It is a trading aid to help identify potential support and resistance zones. These zones are often used by traders to determine entry or exit points for trades.
How It Works
Select Timeframe
The trader can choose whether to calculate Fibonacci levels based on the high and low points of the previous day, previous week, or previous month.
This is selected using the timeframe_input input.
Examples:
"D" for the previous day
"W" for the previous week
"M" for the previous month
Calculate Price Range
The script calculates the price range using the high and low of the selected timeframe:
Formula: price_range = High - Low
Draw Fibonacci Levels
Retracements: Within the price range, Fibonacci levels such as 12%, 23%, 38%, 50%, 61%, 78%, and 88% are calculated. These help identify potential support or resistance zones.
Extensions: Beyond the price range, Fibonacci extensions such as 127%, 161%, 200%, 224%, and 241% are plotted to indicate potential breakout targets.
Visualization
The script plots lines and labels for each level.
These lines extend to the right, providing real-time guidance during trading.
Colors and line styles can be customized to match personal preferences.
How to Use as a Trading Aid
Use Fibonacci Retracements:
Use retracements (e.g., 38%, 50%, 61%) to identify potential support or resistance zones.
Example: If the price dropped sharply the previous day, the retracement levels could act as support during a rebound.
Use Fibonacci Extensions:
Extensions help identify price targets when the price breaks above or below the high or low of the previous day, week, or month.
Example: After a breakout above the previous week’s high, the 127% or 161% level could serve as a target.
Adjust Timeframe:
Choose the timeframe that suits your strategy:
Intraday traders can use the previous day’s high and low.
Swing traders might prefer the previous week.
Long-term traders could work with the previous month.
Example
A trader selects the weekly timeframe (W) to analyze the high and low of the previous week:
The script calculates the price range based on the high and low of the previous week.
Fibonacci retracements (e.g., 50% and 61%) are drawn to identify potential support zones.
Fibonacci extensions (e.g., 127% and 161%) help define price targets for a potential breakout above or below the range.
Pivot Highs/Lows with Bar CountsWhat does the indicator do?
This indicator adds labels to a chart at swing (a.k.a., "pivot") highs and lows. Each label may contain a date, the closing price at the swing, the number of bars since the last swing in the same direction, and the number of bars from the last swing in the opposite direction. A table is also added to the chart that shows the average, min, and max number of bars between swings.
OK, but how do I use it?
Many markets -- especially sideways-moving ones -- commonly cycle between swing highs and lows at regular time intervals. By measuring the number of bars between highs and lows -- both same-sided swings (i.e., H-H and L-L) and opposite-sided swings (i.e., H-L and L-H) -- you can then project the averages of those bar counts from the last high or low swing to make predictions about where the next swing high or low should occur. Note that this indicator does not make the projection for you. You have to determine which swing you want to project from and then use the bar counts from the indicator to draw a line, place a label, etc.
Example: Chart of BTC/USD
The indicator shows pivot highs and lows with bar counts, and it displays a table of stats on those pivots.
If you focus on the center section of the chart, you can see that prices were moving in a sideways channel with very regular highs and lows. This indicator counts the bars between these pivots, and you could have used those counts to predict when the next high or low may have occurred.
The bar counts do not work as well on the more recent section of the chart because there are no regularly time swings.
