Pure Price Action Structures [LuxAlgo]The Pure Price Action Structures indicator is a pure price action analysis tool designed to automatically identify real-time market structures.
The indicator identifies short-term, intermediate-term, and long-term swing highs and lows, forming the foundation for real-time detection of shifts and breaks in market structure.
Its distinctive/unique feature lies in its reliance solely on price patterns, without being limited by any user-defined input, ensuring a robust and objective analysis of market dynamics.
🔶 USAGE
Market structure is a crucial aspect of understanding price action. The script automatically identifies real-time market structure, enabling traders to comprehend market trends more easily. It assists traders in recognizing both trend changes and continuations.
Market structures are constructed from three sets of swing points, short-term swings, intermediary swings, and long-term swings. Market structures associated with longer-term swing points are indicative of longer-term trends.
A market structure shift (MSS), also known as a change of character (CHoCH), is a significant event in price action analysis that may signal a potential shift in market sentiment or direction. Conversely, a break of structure (BOS) is another significant event in price action analysis that typically indicates a continuation of the prevailing trend.
However, it's important to note that while an MSS can be the first indication of a trend reversal and a BOS signifies a continuation of the prevailing trend, they do not guarantee a complete reversal or continuation of the trend.
In some cases, MSS and BOS levels may also act as liquidity zones or areas of price consolidation, rather than indicating a definitive change in market direction or continuation. Traders should approach them with caution and consider additional factors to confirm the validity of the signal before making trading decisions.
🔶 DETAILS
🔹 Market Structures
Market structures are based on the analysis of price action and aim to identify key levels and patterns in the market, where swing point detection is one of the core concepts within ICT trading methodologies and teachings.
Swing points are automatically detected solely based on market movements, without any reliance on user-defined input.
🔹 Utilizing Swing Points
Swing points are not identified in real time as they occur. While short-term swing points may be displayed with a delay of at most one bar, the identification of intermediate and long-term swing points depends entirely on market movements. Furthermore, detection is not limited by any user-defined input but relies solely on pure price action. Consequently, swing points are not typically utilized in real-time trading scenarios.
Traders often analyze historical swing points to discern market trends and pinpoint potential entry and exit points for their trades. By identifying swing highs and lows, traders can:
Recognize Trends: Swing highs and lows help traders identify the direction of the trend. Higher swing highs and higher swing lows indicate an uptrend, while lower swing highs and lower swing lows indicate a downtrend.
Identify Support and Resistance Levels: Swing highs often serve as resistance levels, known in ICT terminology as Buyside Liquidity Levels, while swing lows function as support levels, also referred to in ICT terminology as Sellside Liquidity Levels. Traders can utilize these levels to strategize entry and exit points for their trades.
Spot Reversal Patterns: Swing points can form various reversal patterns, such as double tops or bottoms, head and shoulders patterns, and triangles. Recognizing these patterns can signal potential trend reversals, allowing traders to adjust their strategies accordingly.
Set Stop Loss and Take Profit Levels: In the context of ICT teachings, swing levels represent specific price levels where a concentration of buy or sell orders is anticipated. Traders can target these liquidity levels/pools to accumulate or distribute their positions, essentially using swing points to establish stop loss and take profit levels for their trades.
Overall, swing points provide valuable information about market dynamics and can assist traders in making more informed trading decisions.
🔶 SETTINGS
🔹 Structures
Swings and Size: Toggles the visibility of the structure's highs and lows, assigns an icon corresponding to the structures, and controls the size of the icons.
Market Structures: Toggles the visibility of the market structures.
Market Structure Labels: Controls the visibility of labels that highlight the type of market structure.
Line Style and Width: Customizes the style and width of the lines representing the market structure.
Swing and Line Colors: Customizes colors for the icons representing highs and lows, and the lines and labels representing the market structure.
🔶 RELATED SCRIPTS
Market-Structures-(Intrabar).
Buyside-Sellside-Liquidity.
Search in scripts for "price action"
Directional Movement Index + Fisher Price Action With LabelsDIRECTIONAL MOVEMENT INDEX + FISHER PRICE ACTION WITH LABELS
Directional Movement Index shows buy and sell pressure.
Fisher transform shows price action trending bullish or bearish.
Caution dots notify you of conflicting trends.
***HOW TO USE***
The top lines are the fisher transform showing you the price action trend.
The bottom lines filled with color shows the DMI directional movement index.
The yellow dots at the bottom tell you if these two indicators are currently giving conflicting signals.
DMI
If the green line is above the red line and the background is colored green, there is more market buying than selling.
If the red line is above the green line and the background is colored red, there is more market selling than buying.
FISHER TRANSFORM
If the lines are painted green, the price action is trending up.
If the lines are painted red, the price action is trending down.
CAUTION DOTS
If a yellow dot shows up at the bottom of the chart, it is notifying you that the DMI and Fisher Transform are currently giving opposite signals…. so use caution.
***BULLISH/BEARISH LABEL***
There is also a label on the right side that tells you whether there is more buying or selling. This table updates in real time and changes colors so you can get an easy, quick interpretation of the current buy/sell pressure without having to look at the indicator data so you can make faster decisions on whether to enter or exit a trade.
Green means more market buying than selling.
Red means more market selling than buying.
Blue means an equal amount of market buying and selling.
If buying pressure is bullish but below the 20 level, a second label will show up in purple letting you know there is weak buying pressure so use caution.
If selling pressure is bearish but below the 20 level, a second label will show up in purple letting you know there is weak selling pressure so use caution.
There is a third label showing the current trend of the fisher transform. Green means bullish price action. Red means bearish price action.
The fourth label is orange and only shows up when the DMI and Fisher Transform are currently giving opposite signals, so make sure you use caution during those times.
***MARKETS***
This indicator can be used as a signal on all markets, including stocks, crypto, futures and forex.
***TIMEFRAMES***
This directional movement index + fisher transform indicator can be used on all timeframes.
***TIPS***
Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Volume Profile, Momentum, Auto Support And Resistance and Money Flow Index in combination with this Directional Movement Index + Fisher Transform. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
RSI ROC Signals with Price Action# RSI ROC Signals with Price Action
## Overview
The RSI ROC (Rate of Change) Signals indicator is an advanced momentum-based trading system that combines RSI velocity analysis with price action confirmation to generate high-probability buy and sell signals. This indicator goes beyond traditional RSI analysis by measuring the speed of RSI changes and requiring price confirmation before triggering signals.
## Core Concept: RSI Rate of Change (ROC)
### What is RSI ROC?
RSI ROC measures the **velocity** or **acceleration** of the RSI indicator, providing insights into momentum shifts before they become apparent in traditional RSI readings.
**Formula**: `RSI ROC = ((Current RSI - Previous RSI) / Previous RSI) × 100`
### Why RSI ROC is Superior to Standard RSI:
1. **Early Momentum Detection**: Identifies momentum shifts before RSI reaches traditional overbought/oversold levels
2. **Velocity Analysis**: Measures the speed of momentum changes, not just absolute levels
3. **Reduced False Signals**: Filters out weak momentum moves that don't sustain
4. **Dynamic Thresholds**: Adapts to market volatility rather than using fixed RSI levels
5. **Leading Indicator**: Provides earlier signals compared to traditional RSI crossovers
## Signal Generation Logic
### 🟢 Buy Signal Process (3-Stage System):
#### Stage 1: Trigger Activation
- **RSI ROC** > threshold (default 7%) - RSI accelerating upward
- **Price ROC** > 0 - Price moving higher
- Records the **trigger high** (highest point during trigger)
#### Stage 2: Invalidation Check
- Signal invalidated if **RSI ROC** drops below negative threshold
- Prevents false signals during momentum reversals
#### Stage 3: Confirmation
- **Price breaks above trigger high** - Price action confirmation
- **Current candle is green** (close > open) - Bullish price action
- **State alternation** - Ensures no consecutive duplicate signals
### 🔴 Sell Signal Process (3-Stage System):
#### Stage 1: Trigger Activation
- **RSI ROC** < negative threshold (default -7%) - RSI accelerating downward
- **Price ROC** < 0 - Price moving lower
- Records the **trigger low** (lowest point during trigger)
#### Stage 2: Invalidation Check
- Signal invalidated if **RSI ROC** rises above positive threshold
- Prevents false signals during momentum reversals
#### Stage 3: Confirmation
- **Price breaks below trigger low** - Price action confirmation
- **Current candle is red** (close < open) - Bearish price action
- **State alternation** - Ensures no consecutive duplicate signals
## Key Features
### 🎯 **Smart Signal Management**
- **State Alternation**: Prevents signal clustering by alternating between buy/sell states
- **Trigger Invalidation**: Automatically cancels weak signals that lose momentum
- **Price Confirmation**: Requires actual price breakouts, not just momentum shifts
- **No Repainting**: Signals are confirmed and won't disappear or change
### ⚙️ **Customizable Parameters**
#### **RSI Length (Default: 14)**
- Standard RSI calculation period
- Shorter periods = more sensitive to price changes
- Longer periods = smoother, less noisy signals
#### **Lookback Period (Default: 1)**
- Period for ROC calculations
- 1 = compares to previous bar (most responsive)
- Higher values = smoother momentum detection
#### **RSI ROC Threshold (Default: 7%)**
- Minimum RSI velocity required for signal trigger
- Lower values = more signals, potentially more noise
- Higher values = fewer but higher-quality signals
### 📊 **Visual Signals**
- **Green Arrow Up**: Buy signal below price bar
- **Red Arrow Down**: Sell signal above price bar
- **Clean Chart**: No additional lines or oscillators cluttering the view
- **Size Options**: Customizable arrow sizes for visibility preferences
## Advantages Over Traditional Indicators
### vs. Standard RSI:
✅ **Earlier Signals**: Detects momentum changes before RSI reaches extremes
✅ **Dynamic Thresholds**: Adapts to market conditions vs. fixed 30/70 levels
✅ **Velocity Focus**: Measures momentum speed, not just position
✅ **Better Timing**: Combines momentum with price action confirmation
### vs. Moving Average Crossovers:
✅ **Leading vs. Lagging**: RSI ROC is forward-looking vs. backward-looking MAs
✅ **Volatility Adaptive**: Automatically adjusts to market volatility
✅ **Fewer Whipsaws**: Built-in invalidation logic reduces false signals
✅ **Momentum Focus**: Captures acceleration, not just direction changes
### vs. MACD:
✅ **Price-Normalized**: RSI ROC works consistently across different price ranges
✅ **Simpler Logic**: Clear trigger/confirmation process vs. complex crossovers
✅ **Built-in Filters**: Automatic signal quality control
✅ **State Management**: Prevents over-trading through alternation logic
## Trading Applications
### 📈 **Trend Following**
- Use in trending markets to catch momentum continuations
- Combine with trend filters for directional bias
- Excellent for breakout strategies
### 🔄 **Swing Trading**
- Ideal timeframes: 4H, Daily, Weekly
- Captures major momentum shifts
- Perfect for position entries/exits
### ⚡ **Scalping (Advanced Users)**
- Lower timeframes: 1m, 5m, 15m
- Reduce threshold for more frequent signals
- Combine with volume confirmation
### 🎯 **Momentum Strategies**
- Perfect for momentum-based trading systems
- Identifies acceleration phases in trends
- Complements breakout and continuation patterns
## Optimization Guidelines
### **Conservative Settings (Lower Risk)**
- RSI Length: 21
- ROC Threshold: 10%
- Lookback: 2
### **Standard Settings (Balanced)**
- RSI Length: 14 (default)
- ROC Threshold: 7% (default)
- Lookback: 1 (default)
### **Aggressive Settings (Higher Frequency)**
- RSI Length: 7
- ROC Threshold: 5%
- Lookback: 1
## Best Practices
### 🎯 **Entry Strategy**
1. Wait for signal arrow confirmation
2. Consider market context (trend, support/resistance)
3. Use proper position sizing based on volatility
4. Set stop-loss below/above trigger levels
### 🛡️ **Risk Management**
1. **Stop Loss**: Place beyond trigger high/low levels
2. **Position Sizing**: Use 1-2% risk per trade
3. **Market Context**: Avoid counter-trend signals in strong trends
4. **Time Filters**: Consider avoiding signals near major news events
### 📊 **Backtesting Recommendations**
1. Test on multiple timeframes and instruments
2. Analyze win rate vs. average win/loss ratio
3. Consider transaction costs in backtesting
4. Optimize threshold values for different market conditions
## Technical Specifications
- **Pine Script Version**: v6
- **Signal Type**: Non-repainting, confirmed signals
- **Calculation Basis**: RSI velocity with price action confirmation
- **Update Frequency**: Real-time on bar close
- **Memory Management**: Efficient state tracking with minimal resource usage
## Ideal For:
- **Momentum Traders**: Captures acceleration phases
- **Swing Traders**: Medium-term position entries/exits
- **Breakout Traders**: Confirms momentum behind breakouts
- **System Traders**: Mechanical signal generation with clear rules
This indicator represents a significant evolution in momentum analysis, combining the reliability of RSI with the precision of rate-of-change analysis and the confirmation of price action. It's designed for traders who want sophisticated momentum detection with built-in quality controls.
Rapid HTF Price Action Dashboard V2.0Rapid HTF Price Action Dashboard V2.0
Overview
Stop the constant switching between timeframes. The Rapid HTF Price Action Dashboard is an all-in-one analysis suite designed to give you a crystal-clear view of the market's true intent by projecting critical higher-timeframe (HTF) data directly onto your trading chart.
This tool is more than just a pattern indicator; it's a complete dashboard that provides institutional-grade insights into price action. It helps you anticipate market moves by showing you where liquidity lies and how the bigger players are positioning themselves, all from the comfort of your lower-timeframe chart.
Key Features
Multi-Timeframe Dashboard: A clean, intuitive panel on the right of your chart displays the last two closed higher-timeframe candles (Candle A & B) and the live, developing one (Candle C).
Projected HTF Levels: Automatically draws and projects the previous HTF candle's high and low across your chart, acting as critical dynamic support and resistance levels.
Advanced Pattern Recognition: Identifies seven high-conviction candlestick patterns based on our proprietary filtering system, designed to eliminate noise and pinpoint only the most potent signals.
The Logic: Why Our Signals Are More Accurate
This indicator goes far beyond textbook definitions. We don't just look for shapes; we look for the story behind the price action. Each pattern is filtered through a rigorous set of conditions to ensure it represents true market conviction.
Hammers & Inverted Hammers: The Liquidity Grab
Classic Hammer/IH patterns are often misleading. Ours are different. We identify them as true liquidity grab signals, a core concept used in ICT (Inner Circle Trader) methodologies.
A Hammer (H) is only valid if its low wick has pierced below the low of the previous candle (low < low ). This signifies a "stop hunt" where liquidity was absorbed below a key level before buyers aggressively pushed the price up.
An Inverted Hammer (IH) is only valid if its high wick has pierced above the high of the previous candle (high > high ). This shows liquidity was taken above a prior high before sellers took control and suppressed the price.
Harami: Filtering for Conviction
A classic Harami (an inside bar) can often just be a weak doji, signaling indecision. We filter this noise out.
Our Harami signal (BeH, BuH) requires the inside candle to have a meaningful body (defaulting to 30% of its own range, but fully customizable).
Furthermore, we have enhanced the logic to ensure the body of the inside candle is strictly contained within the body of the previous candle, making it a more precise and reliable signal of consolidation before a potential expansion.
Power Engulfing: A Signal of Overwhelming Force
We don't flag just any engulfing candle. We look for true displacement and momentum.
Our Power Engulfing pattern (BE, BuE) requires the body of the current candle to completely engulf the body of the previous candle.
Crucially, it must also close decisively beyond the entire range (including the wick) of the previous candle. A Bullish Engulfing must close above the previous high, and a Bearish Engulfing must close below the previous low. This confirms overwhelming force has entered the market and a reversal is highly probable.
How to Use the Dashboard
Set Your Reference Timeframe (refTF): Choose the higher timeframe you want to analyze (e.g., "240" for 4-Hour).
Identify the Narrative: Use the projected High/Low lines as your key support and resistance zones. A primary strategy is to wait for price to interact with these levels.
Anticipate the Draw on Liquidity: Watch as price approaches the previous HTF high or low. The dashboard helps you predict the market's next move. For example, if price is trading below the previous HTF low, you can anticipate a potential sweep of that level.
Confirm with a Signal: When a signal like a Hammer (H) appears on the dashboard after sweeping the previous low, it provides high-conviction confirmation that liquidity has been taken and price is ready to reverse.
NQ/MNQ Futures Delta+ with Price Action EntriesNQ/MNQ Futures Delta+ with Price Action Entries
Description: This TradingView indicator combines Futures Delta analysis with advanced price action techniques to provide an enhanced trading strategy for the NQ/MNQ futures market. The script analyzes the market using a variety of methods including Delta, volume analysis, and candlestick patterns, while also incorporating price action factors like support/resistance levels and breakouts to offer more refined buy and sell signals.
Key Features:
Delta Analysis:
The Delta calculation tracks the difference between buying and selling pressure within each market bar. The indicator calculates delta based on different modes (Classic, Volume Based, Tick Based), and then applies cumulative delta for trend analysis.
The Cumulative Delta is calculated using one of the three available modes:
Total: Tracks the cumulative delta over time.
Periodic: Measures delta over a defined period (user-configurable).
EMA: Applies an Exponential Moving Average to smooth the delta values.
Volume Confirmation:
The script includes volume analysis to confirm price movements. A volume spike is used to validate buy/sell signals, ensuring that price movements are supported by significant trading volume.
Price Action-Based Entries:
Support and Resistance: Dynamic support and resistance levels are calculated based on the lowest low and highest high of the last 20 bars. These levels are used to identify breakout points, providing context for potential buy/sell entries.
Candlestick Patterns: The script recognizes Bullish Engulfing and Bearish Engulfing candlestick patterns. These patterns signal potential reversals in price direction and are used to confirm trade entries.
Breakout Logic: Buy signals are triggered when the price breaks above resistance, and sell signals are triggered when the price breaks below support, providing high-probability entry points during trend reversals or continuations.
Moving Average Trend Confirmation:
The script uses two moving averages:
9-period Exponential Moving Average (EMA): Short-term trend indicator.
21-period Exponential Moving Average (EMA): Longer-term trend indicator.
Trades are only considered in the direction of the prevailing trend:
A bullish signal is confirmed if the price is above both EMAs.
A bearish signal is confirmed if the price is below both EMAs.
Buy/Sell Signal Triggers:
Buy Signal: A buy signal is triggered when:
A bullish divergence is confirmed with volume support.
A bullish engulfing candlestick pattern forms.
The price breaks above resistance.
The price is above both the 9 EMA and 21 EMA, indicating an uptrend.
Sell Signal: A sell signal is triggered when:
A bearish divergence is confirmed with volume support.
A bearish engulfing candlestick pattern forms.
The price breaks below support.
The price is below both the 9 EMA and 21 EMA, indicating a downtrend.
Visualization:
Delta Candles: The cumulative delta is plotted as a candlestick on the chart, with green and red coloring to show buying or selling dominance.
Support and Resistance Levels: Support and resistance zones are plotted to show key levels where price action may react.
Moving Averages: The 9 EMA and 21 EMA are plotted to show short-term and long-term trend direction.
Signal Markers: Buy and sell signals are marked on the chart with green triangles (buy) and red triangles (sell) for easy visualization of trade opportunities.
Alerts:
Alerts can be set up for buy and sell signals, enabling you to be notified when the script identifies potential trade opportunities based on Delta analysis, volume confirmation, and price action.
How to Use This Script:
Market: This script is optimized for NQ and MNQ futures contracts but can be adapted for other markets as well.
Signal Interpretation: Use the buy and sell signals for trend-following or counter-trend trades. These signals are particularly useful for 1-minute or 5-minute charts but can be adjusted to fit other timeframes.
Support/Resistance: Pay close attention to the dynamic support and resistance levels, as these are key price action points where significant price movements can occur.
Trend Confirmation: Ensure that trades are aligned with the overall trend confirmed by the 9 EMA and 21 EMA. The script prioritizes signals that align with the broader market trend.
Breakouts: Use the breakout logic to catch price moves when the market breaks key support or resistance levels. These can often lead to strong moves in the direction of the breakout.
ATAI Volume analysis with price action V 1.00ATAI Volume Analysis with Price Action
1. Introduction
1.1 Overview
ATAI Volume Analysis with Price Action is a composite indicator designed for TradingView. It combines per‑side volume data —that is, how much buying and selling occurs during each bar—with standard price‑structure elements such as swings, trend lines and support/resistance. By blending these elements the script aims to help a trader understand which side is in control, whether a breakout is genuine, when markets are potentially exhausted and where liquidity providers might be active.
The indicator is built around TradingView’s up/down volume feed accessed via the TradingView/ta/10 library. The following excerpt from the script illustrates how this feed is configured:
import TradingView/ta/10 as tvta
// Determine lower timeframe string based on user choice and chart resolution
string lower_tf_breakout = use_custom_tf_input ? custom_tf_input :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
// Request up/down volume (both positive)
= tvta.requestUpAndDownVolume(lower_tf_breakout)
Lower‑timeframe selection. If you do not specify a custom lower timeframe, the script chooses a default based on your chart resolution: 1 second for second charts, 1 minute for intraday charts, 5 minutes for daily charts and 60 minutes for anything longer. Smaller intervals provide a more precise view of buyer and seller flow but cover fewer bars. Larger intervals cover more history at the cost of granularity.
Tick vs. time bars. Many trading platforms offer a tick / intrabar calculation mode that updates an indicator on every trade rather than only on bar close. Turning on one‑tick calculation will give the most accurate split between buy and sell volume on the current bar, but it typically reduces the amount of historical data available. For the highest fidelity in live trading you can enable this mode; for studying longer histories you might prefer to disable it. When volume data is completely unavailable (some instruments and crypto pairs), all modules that rely on it will remain silent and only the price‑structure backbone will operate.
Figure caption, Each panel shows the indicator’s info table for a different volume sampling interval. In the left chart, the parentheses “(5)” beside the buy‑volume figure denote that the script is aggregating volume over five‑minute bars; the center chart uses “(1)” for one‑minute bars; and the right chart uses “(1T)” for a one‑tick interval. These notations tell you which lower timeframe is driving the volume calculations. Shorter intervals such as 1 minute or 1 tick provide finer detail on buyer and seller flow, but they cover fewer bars; longer intervals like five‑minute bars smooth the data and give more history.
Figure caption, The values in parentheses inside the info table come directly from the Breakout — Settings. The first row shows the custom lower-timeframe used for volume calculations (e.g., “(1)”, “(5)”, or “(1T)”)
2. Price‑Structure Backbone
Even without volume, the indicator draws structural features that underpin all other modules. These features are always on and serve as the reference levels for subsequent calculations.
2.1 What it draws
• Pivots: Swing highs and lows are detected using the pivot_left_input and pivot_right_input settings. A pivot high is identified when the high recorded pivot_right_input bars ago exceeds the highs of the preceding pivot_left_input bars and is also higher than (or equal to) the highs of the subsequent pivot_right_input bars; pivot lows follow the inverse logic. The indicator retains only a fixed number of such pivot points per side, as defined by point_count_input, discarding the oldest ones when the limit is exceeded.
• Trend lines: For each side, the indicator connects the earliest stored pivot and the most recent pivot (oldest high to newest high, and oldest low to newest low). When a new pivot is added or an old one drops out of the lookback window, the line’s endpoints—and therefore its slope—are recalculated accordingly.
• Horizontal support/resistance: The highest high and lowest low within the lookback window defined by length_input are plotted as horizontal dashed lines. These serve as short‑term support and resistance levels.
• Ranked labels: If showPivotLabels is enabled the indicator prints labels such as “HH1”, “HH2”, “LL1” and “LL2” near each pivot. The ranking is determined by comparing the price of each stored pivot: HH1 is the highest high, HH2 is the second highest, and so on; LL1 is the lowest low, LL2 is the second lowest. In the case of equal prices the newer pivot gets the better rank. Labels are offset from price using ½ × ATR × label_atr_multiplier, with the ATR length defined by label_atr_len_input. A dotted connector links each label to the candle’s wick.
2.2 Key settings
• length_input: Window length for finding the highest and lowest values and for determining trend line endpoints. A larger value considers more history and will generate longer trend lines and S/R levels.
• pivot_left_input, pivot_right_input: Strictness of swing confirmation. Higher values require more bars on either side to form a pivot; lower values create more pivots but may include minor swings.
• point_count_input: How many pivots are kept in memory on each side. When new pivots exceed this number the oldest ones are discarded.
• label_atr_len_input and label_atr_multiplier: Determine how far pivot labels are offset from the bar using ATR. Increasing the multiplier moves labels further away from price.
• Styling inputs for trend lines, horizontal lines and labels (color, width and line style).
Figure caption, The chart illustrates how the indicator’s price‑structure backbone operates. In this daily example, the script scans for bars where the high (or low) pivot_right_input bars back is higher (or lower) than the preceding pivot_left_input bars and higher or lower than the subsequent pivot_right_input bars; only those bars are marked as pivots.
These pivot points are stored and ranked: the highest high is labelled “HH1”, the second‑highest “HH2”, and so on, while lows are marked “LL1”, “LL2”, etc. Each label is offset from the price by half of an ATR‑based distance to keep the chart clear, and a dotted connector links the label to the actual candle.
The red diagonal line connects the earliest and latest stored high pivots, and the green line does the same for low pivots; when a new pivot is added or an old one drops out of the lookback window, the end‑points and slopes adjust accordingly. Dashed horizontal lines mark the highest high and lowest low within the current lookback window, providing visual support and resistance levels. Together, these elements form the structural backbone that other modules reference, even when volume data is unavailable.
3. Breakout Module
3.1 Concept
This module confirms that a price break beyond a recent high or low is supported by a genuine shift in buying or selling pressure. It requires price to clear the highest high (“HH1”) or lowest low (“LL1”) and, simultaneously, that the winning side shows a significant volume spike, dominance and ranking. Only when all volume and price conditions pass is a breakout labelled.
3.2 Inputs
• lookback_break_input : This controls the number of bars used to compute moving averages and percentiles for volume. A larger value smooths the averages and percentiles but makes the indicator respond more slowly.
• vol_mult_input : The “spike” multiplier; the current buy or sell volume must be at least this multiple of its moving average over the lookback window to qualify as a breakout.
• rank_threshold_input (0–100) : Defines a volume percentile cutoff: the current buyer/seller volume must be in the top (100−threshold)%(100−threshold)% of all volumes within the lookback window. For example, if set to 80, the current volume must be in the top 20 % of the lookback distribution.
• ratio_threshold_input (0–1) : Specifies the minimum share of total volume that the buyer (for a bullish breakout) or seller (for bearish) must hold on the current bar; the code also requires that the cumulative buyer volume over the lookback window exceeds the seller volume (and vice versa for bearish cases).
• use_custom_tf_input / custom_tf_input : When enabled, these inputs override the automatic choice of lower timeframe for up/down volume; otherwise the script selects a sensible default based on the chart’s timeframe.
• Label appearance settings : Separate options control the ATR-based offset length, offset multiplier, label size and colors for bullish and bearish breakout labels, as well as the connector style and width.
3.3 Detection logic
1. Data preparation : Retrieve per‑side volume from the lower timeframe and take absolute values. Build rolling arrays of the last lookback_break_input values to compute simple moving averages (SMAs), cumulative sums and percentile ranks for buy and sell volume.
2. Volume spike: A spike is flagged when the current buy (or, in the bearish case, sell) volume is at least vol_mult_input times its SMA over the lookback window.
3. Dominance test: The buyer’s (or seller’s) share of total volume on the current bar must meet or exceed ratio_threshold_input. In addition, the cumulative sum of buyer volume over the window must exceed the cumulative sum of seller volume for a bullish breakout (and vice versa for bearish). A separate requirement checks the sign of delta: for bullish breakouts delta_breakout must be non‑negative; for bearish breakouts it must be non‑positive.
4. Percentile rank: The current volume must fall within the top (100 – rank_threshold_input) percent of the lookback distribution—ensuring that the spike is unusually large relative to recent history.
5. Price test: For a bullish signal, the closing price must close above the highest pivot (HH1); for a bearish signal, the close must be below the lowest pivot (LL1).
6. Labeling: When all conditions above are satisfied, the indicator prints “Breakout ↑” above the bar (bullish) or “Breakout ↓” below the bar (bearish). Labels are offset using half of an ATR‑based distance and linked to the candle with a dotted connector.
Figure caption, (Breakout ↑ example) , On this daily chart, price pushes above the red trendline and the highest prior pivot (HH1). The indicator recognizes this as a valid breakout because the buyer‑side volume on the lower timeframe spikes above its recent moving average and buyers dominate the volume statistics over the lookback period; when combined with a close above HH1, this satisfies the breakout conditions. The “Breakout ↑” label appears above the candle, and the info table highlights that up‑volume is elevated relative to its 11‑bar average, buyer share exceeds the dominance threshold and money‑flow metrics support the move.
Figure caption, In this daily example, price breaks below the lowest pivot (LL1) and the lower green trendline. The indicator identifies this as a bearish breakout because sell‑side volume is sharply elevated—about twice its 11‑bar average—and sellers dominate both the bar and the lookback window. With the close falling below LL1, the script triggers a Breakout ↓ label and marks the corresponding row in the info table, which shows strong down volume, negative delta and a seller share comfortably above the dominance threshold.
4. Market Phase Module (Volume Only)
4.1 Concept
Not all markets trend; many cycle between periods of accumulation (buying pressure building up), distribution (selling pressure dominating) and neutral behavior. This module classifies the current bar into one of these phases without using ATR , relying solely on buyer and seller volume statistics. It looks at net flows, ratio changes and an OBV‑like cumulative line with dual‑reference (1‑ and 2‑bar) trends. The result is displayed both as on‑chart labels and in a dedicated row of the info table.
4.2 Inputs
• phase_period_len: Number of bars over which to compute sums and ratios for phase detection.
• phase_ratio_thresh : Minimum buyer share (for accumulation) or minimum seller share (for distribution, derived as 1 − phase_ratio_thresh) of the total volume.
• strict_mode: When enabled, both the 1‑bar and 2‑bar changes in each statistic must agree on the direction (strict confirmation); when disabled, only one of the two references needs to agree (looser confirmation).
• Color customisation for info table cells and label styling for accumulation and distribution phases, including ATR length, multiplier, label size, colors and connector styles.
• show_phase_module: Toggles the entire phase detection subsystem.
• show_phase_labels: Controls whether on‑chart labels are drawn when accumulation or distribution is detected.
4.3 Detection logic
The module computes three families of statistics over the volume window defined by phase_period_len:
1. Net sum (buyers minus sellers): net_sum_phase = Σ(buy) − Σ(sell). A positive value indicates a predominance of buyers. The code also computes the differences between the current value and the values 1 and 2 bars ago (d_net_1, d_net_2) to derive up/down trends.
2. Buyer ratio: The instantaneous ratio TF_buy_breakout / TF_tot_breakout and the window ratio Σ(buy) / Σ(total). The current ratio must exceed phase_ratio_thresh for accumulation or fall below 1 − phase_ratio_thresh for distribution. The first and second differences of the window ratio (d_ratio_1, d_ratio_2) determine trend direction.
3. OBV‑like cumulative net flow: An on‑balance volume analogue obv_net_phase increments by TF_buy_breakout − TF_sell_breakout each bar. Its differences over the last 1 and 2 bars (d_obv_1, d_obv_2) provide trend clues.
The algorithm then combines these signals:
• For strict mode , accumulation requires: (a) current ratio ≥ threshold, (b) cumulative ratio ≥ threshold, (c) both ratio differences ≥ 0, (d) net sum differences ≥ 0, and (e) OBV differences ≥ 0. Distribution is the mirror case.
• For loose mode , it relaxes the directional tests: either the 1‑ or the 2‑bar difference needs to agree in each category.
If all conditions for accumulation are satisfied, the phase is labelled “Accumulation” ; if all conditions for distribution are satisfied, it’s labelled “Distribution” ; otherwise the phase is “Neutral” .
4.4 Outputs
• Info table row : Row 8 displays “Market Phase (Vol)” on the left and the detected phase (Accumulation, Distribution or Neutral) on the right. The text colour of both cells matches a user‑selectable palette (typically green for accumulation, red for distribution and grey for neutral).
• On‑chart labels : When show_phase_labels is enabled and a phase persists for at least one bar, the module prints a label above the bar ( “Accum” ) or below the bar ( “Dist” ) with a dashed or dotted connector. The label is offset using ATR based on phase_label_atr_len_input and phase_label_multiplier and is styled according to user preferences.
Figure caption, The chart displays a red “Dist” label above a particular bar, indicating that the accumulation/distribution module identified a distribution phase at that point. The detection is based on seller dominance: during that bar, the net buyer-minus-seller flow and the OBV‑style cumulative flow were trending down, and the buyer ratio had dropped below the preset threshold. These conditions satisfy the distribution criteria in strict mode. The label is placed above the bar using an ATR‑based offset and a dashed connector. By the time of the current bar in the screenshot, the phase indicator shows “Neutral” in the info table—signaling that neither accumulation nor distribution conditions are currently met—yet the historical “Dist” label remains to mark where the prior distribution phase began.
Figure caption, In this example the market phase module has signaled an Accumulation phase. Three bars before the current candle, the algorithm detected a shift toward buyers: up‑volume exceeded its moving average, down‑volume was below average, and the buyer share of total volume climbed above the threshold while the on‑balance net flow and cumulative ratios were trending upwards. The blue “Accum” label anchored below that bar marks the start of the phase; it remains on the chart because successive bars continue to satisfy the accumulation conditions. The info table confirms this: the “Market Phase (Vol)” row still reads Accumulation, and the ratio and sum rows show buyers dominating both on the current bar and across the lookback window.
5. OB/OS Spike Module
5.1 What overbought/oversold means here
In many markets, a rapid extension up or down is often followed by a period of consolidation or reversal. The indicator interprets overbought (OB) conditions as abnormally strong selling risk at or after a price rally and oversold (OS) conditions as unusually strong buying risk after a decline. Importantly, these are not direct trade signals; rather they flag areas where caution or contrarian setups may be appropriate.
5.2 Inputs
• minHits_obos (1–7): Minimum number of oscillators that must agree on an overbought or oversold condition for a label to print.
• syncWin_obos: Length of a small sliding window over which oscillator votes are smoothed by taking the maximum count observed. This helps filter out choppy signals.
• Volume spike criteria: kVolRatio_obos (ratio of current volume to its SMA) and zVolThr_obos (Z‑score threshold) across volLen_obos. Either threshold can trigger a spike.
• Oscillator toggles and periods: Each of RSI, Stochastic (K and D), Williams %R, CCI, MFI, DeMarker and Stochastic RSI can be independently enabled; their periods are adjustable.
• Label appearance: ATR‑based offset, size, colors for OB and OS labels, plus connector style and width.
5.3 Detection logic
1. Directional volume spikes: Volume spikes are computed separately for buyer and seller volumes. A sell volume spike (sellVolSpike) flags a potential OverBought bar, while a buy volume spike (buyVolSpike) flags a potential OverSold bar. A spike occurs when the respective volume exceeds kVolRatio_obos times its simple moving average over the window or when its Z‑score exceeds zVolThr_obos.
2. Oscillator votes: For each enabled oscillator, calculate its overbought and oversold state using standard thresholds (e.g., RSI ≥ 70 for OB and ≤ 30 for OS; Stochastic %K/%D ≥ 80 for OB and ≤ 20 for OS; etc.). Count how many oscillators vote for OB and how many vote for OS.
3. Minimum hits: Apply the smoothing window syncWin_obos to the vote counts using a maximum‑of‑last‑N approach. A candidate bar is only considered if the smoothed OB hit count ≥ minHits_obos (for OverBought) or the smoothed OS hit count ≥ minHits_obos (for OverSold).
4. Tie‑breaking: If both OverBought and OverSold spike conditions are present on the same bar, compare the smoothed hit counts: the side with the higher count is selected; ties default to OverBought.
5. Label printing: When conditions are met, the bar is labelled as “OverBought X/7” above the candle or “OverSold X/7” below it. “X” is the number of oscillators confirming, and the bracket lists the abbreviations of contributing oscillators. Labels are offset from price using half of an ATR‑scaled distance and can optionally include a dotted or dashed connector line.
Figure caption, In this chart the overbought/oversold module has flagged an OverSold signal. A sell‑off from the prior highs brought price down to the lower trend‑line, where the bar marked “OverSold 3/7 DeM” appears. This label indicates that on that bar the module detected a buy‑side volume spike and that at least three of the seven enabled oscillators—in this case including the DeMarker—were in oversold territory. The label is printed below the candle with a dotted connector, signaling that the market may be temporarily exhausted on the downside. After this oversold print, price begins to rebound towards the upper red trend‑line and higher pivot levels.
Figure caption, This example shows the overbought/oversold module in action. In the left‑hand panel you can see the OB/OS settings where each oscillator (RSI, Stochastic, Williams %R, CCI, MFI, DeMarker and Stochastic RSI) can be enabled or disabled, and the ATR length and label offset multiplier adjusted. On the chart itself, price has pushed up to the descending red trendline and triggered an “OverBought 3/7” label. That means the sell‑side volume spiked relative to its average and three out of the seven enabled oscillators were in overbought territory. The label is offset above the candle by half of an ATR and connected with a dashed line, signaling that upside momentum may be overextended and a pause or pullback could follow.
6. Buyer/Seller Trap Module
6.1 Concept
A bull trap occurs when price appears to break above resistance, attracting buyers, but fails to sustain the move and quickly reverses, leaving a long upper wick and trapping late entrants. A bear trap is the opposite: price breaks below support, lures in sellers, then snaps back, leaving a long lower wick and trapping shorts. This module detects such traps by looking for price structure sweeps, order‑flow mismatches and dominance reversals. It uses a scoring system to differentiate risk from confirmed traps.
6.2 Inputs
• trap_lookback_len: Window length used to rank extremes and detect sweeps.
• trap_wick_threshold: Minimum proportion of a bar’s range that must be wick (upper for bull traps, lower for bear traps) to qualify as a sweep.
• trap_score_risk: Minimum aggregated score required to flag a trap risk. (The code defines a trap_score_confirm input, but confirmation is actually based on price reversal rather than a separate score threshold.)
• trap_confirm_bars: Maximum number of bars allowed for price to reverse and confirm the trap. If price does not reverse in this window, the risk label will expire or remain unconfirmed.
• Label settings: ATR length and multiplier for offsetting, size, colours for risk and confirmed labels, and connector style and width. Separate settings exist for bull and bear traps.
• Toggle inputs: show_trap_module and show_trap_labels enable the module and control whether labels are drawn on the chart.
6.3 Scoring logic
The module assigns points to several conditions and sums them to determine whether a trap risk is present. For bull traps, the score is built from the following (bear traps mirror the logic with highs and lows swapped):
1. Sweep (2 points): Price trades above the high pivot (HH1) but fails to close above it and leaves a long upper wick at least trap_wick_threshold × range. For bear traps, price dips below the low pivot (LL1), fails to close below and leaves a long lower wick.
2. Close break (1 point): Price closes beyond HH1 or LL1 without leaving a long wick.
3. Candle/delta mismatch (2 points): The candle closes bullish yet the order flow delta is negative or the seller ratio exceeds 50%, indicating hidden supply. Conversely, a bearish close with positive delta or buyer dominance suggests hidden demand.
4. Dominance inversion (2 points): The current bar’s buyer volume has the highest rank in the lookback window while cumulative sums favor sellers, or vice versa.
5. Low‑volume break (1 point): Price crosses the pivot but total volume is below its moving average.
The total score for each side is compared to trap_score_risk. If the score is high enough, a “Bull Trap Risk” or “Bear Trap Risk” label is drawn, offset from the candle by half of an ATR‑scaled distance using a dashed outline. If, within trap_confirm_bars, price reverses beyond the opposite level—drops back below the high pivot for bull traps or rises above the low pivot for bear traps—the label is upgraded to a solid “Bull Trap” or “Bear Trap” . In this version of the code, there is no separate score threshold for confirmation: the variable trap_score_confirm is unused; confirmation depends solely on a successful price reversal within the specified number of bars.
Figure caption, In this example the trap module has flagged a Bear Trap Risk. Price initially breaks below the most recent low pivot (LL1), but the bar closes back above that level and leaves a long lower wick, suggesting a failed push lower. Combined with a mismatch between the candle direction and the order flow (buyers regain control) and a reversal in volume dominance, the aggregate score exceeds the risk threshold, so a dashed “Bear Trap Risk” label prints beneath the bar. The green and red trend lines mark the current low and high pivot trajectories, while the horizontal dashed lines show the highest and lowest values in the lookback window. If, within the next few bars, price closes decisively above the support, the risk label would upgrade to a solid “Bear Trap” label.
Figure caption, In this example the trap module has identified both ends of a price range. Near the highs, price briefly pushes above the descending red trendline and the recent pivot high, but fails to close there and leaves a noticeable upper wick. That combination of a sweep above resistance and order‑flow mismatch generates a Bull Trap Risk label with a dashed outline, warning that the upside break may not hold. At the opposite extreme, price later dips below the green trendline and the labelled low pivot, then quickly snaps back and closes higher. The long lower wick and subsequent price reversal upgrade the previous bear‑trap risk into a confirmed Bear Trap (solid label), indicating that sellers were caught on a false breakdown. Horizontal dashed lines mark the highest high and lowest low of the lookback window, while the red and green diagonals connect the earliest and latest pivot highs and lows to visualize the range.
7. Sharp Move Module
7.1 Concept
Markets sometimes display absorption or climax behavior—periods when one side steadily gains the upper hand before price breaks out with a sharp move. This module evaluates several order‑flow and volume conditions to anticipate such moves. Users can choose how many conditions must be met to flag a risk and how many (plus a price break) are required for confirmation.
7.2 Inputs
• sharp Lookback: Number of bars in the window used to compute moving averages, sums, percentile ranks and reference levels.
• sharpPercentile: Minimum percentile rank for the current side’s volume; the current buy (or sell) volume must be greater than or equal to this percentile of historical volumes over the lookback window.
• sharpVolMult: Multiplier used in the volume climax check. The current side’s volume must exceed this multiple of its average to count as a climax.
• sharpRatioThr: Minimum dominance ratio (current side’s volume relative to the opposite side) used in both the instant and cumulative dominance checks.
• sharpChurnThr: Maximum ratio of a bar’s range to its ATR for absorption/churn detection; lower values indicate more absorption (large volume in a small range).
• sharpScoreRisk: Minimum number of conditions that must be true to print a risk label.
• sharpScoreConfirm: Minimum number of conditions plus a price break required for confirmation.
• sharpCvdThr: Threshold for cumulative delta divergence versus price change (positive for bullish accumulation, negative for bearish distribution).
• Label settings: ATR length (sharpATRlen) and multiplier (sharpLabelMult) for positioning labels, label size, colors and connector styles for bullish and bearish sharp moves.
• Toggles: enableSharp activates the module; show_sharp_labels controls whether labels are drawn.
7.3 Conditions (six per side)
For each side, the indicator computes six boolean conditions and sums them to form a score:
1. Dominance (instant and cumulative):
– Instant dominance: current buy volume ≥ sharpRatioThr × current sell volume.
– Cumulative dominance: sum of buy volumes over the window ≥ sharpRatioThr × sum of sell volumes (and vice versa for bearish checks).
2. Accumulation/Distribution divergence: Over the lookback window, cumulative delta rises by at least sharpCvdThr while price fails to rise (bullish), or cumulative delta falls by at least sharpCvdThr while price fails to fall (bearish).
3. Volume climax: The current side’s volume is ≥ sharpVolMult × its average and the product of volume and bar range is the highest in the lookback window.
4. Absorption/Churn: The current side’s volume divided by the bar’s range equals the highest value in the window and the bar’s range divided by ATR ≤ sharpChurnThr (indicating large volume within a small range).
5. Percentile rank: The current side’s volume percentile rank is ≥ sharp Percentile.
6. Mirror logic for sellers: The above checks are repeated with buyer and seller roles swapped and the price break levels reversed.
Each condition that passes contributes one point to the corresponding side’s score (0 or 1). Risk and confirmation thresholds are then applied to these scores.
7.4 Scoring and labels
• Risk: If scoreBull ≥ sharpScoreRisk, a “Sharp ↑ Risk” label is drawn above the bar. If scoreBear ≥ sharpScoreRisk, a “Sharp ↓ Risk” label is drawn below the bar.
• Confirmation: A risk label is upgraded to “Sharp ↑” when scoreBull ≥ sharpScoreConfirm and the bar closes above the highest recent pivot (HH1); for bearish cases, confirmation requires scoreBear ≥ sharpScoreConfirm and a close below the lowest pivot (LL1).
• Label positioning: Labels are offset from the candle by ATR × sharpLabelMult (full ATR times multiplier), not half, and may include a dashed or dotted connector line if enabled.
Figure caption, In this chart both bullish and bearish sharp‑move setups have been flagged. Earlier in the range, a “Sharp ↓ Risk” label appears beneath a candle: the sell‑side score met the risk threshold, signaling that the combination of strong sell volume, dominance and absorption within a narrow range suggested a potential sharp decline. The price did not close below the lower pivot, so this label remains a “risk” and no confirmation occurred. Later, as the market recovered and volume shifted back to the buy side, a “Sharp ↑ Risk” label prints above a candle near the top of the channel. Here, buy‑side dominance, cumulative delta divergence and a volume climax aligned, but price has not yet closed above the upper pivot (HH1), so the alert is still a risk rather than a confirmed sharp‑up move.
Figure caption, In this chart a Sharp ↑ label is displayed above a candle, indicating that the sharp move module has confirmed a bullish breakout. Prior bars satisfied the risk threshold — showing buy‑side dominance, positive cumulative delta divergence, a volume climax and strong absorption in a narrow range — and this candle closes above the highest recent pivot, upgrading the earlier “Sharp ↑ Risk” alert to a full Sharp ↑ signal. The green label is offset from the candle with a dashed connector, while the red and green trend lines trace the high and low pivot trajectories and the dashed horizontals mark the highest and lowest values of the lookback window.
8. Market‑Maker / Spread‑Capture Module
8.1 Concept
Liquidity providers often “capture the spread” by buying and selling in almost equal amounts within a very narrow price range. These bars can signal temporary congestion before a move or reflect algorithmic activity. This module flags bars where both buyer and seller volumes are high, the price range is only a few ticks and the buy/sell split remains close to 50%. It helps traders spot potential liquidity pockets.
8.2 Inputs
• scalpLookback: Window length used to compute volume averages.
• scalpVolMult: Multiplier applied to each side’s average volume; both buy and sell volumes must exceed this multiple.
• scalpTickCount: Maximum allowed number of ticks in a bar’s range (calculated as (high − low) / minTick). A value of 1 or 2 captures ultra‑small bars; increasing it relaxes the range requirement.
• scalpDeltaRatio: Maximum deviation from a perfect 50/50 split. For example, 0.05 means the buyer share must be between 45% and 55%.
• Label settings: ATR length, multiplier, size, colors, connector style and width.
• Toggles : show_scalp_module and show_scalp_labels to enable the module and its labels.
8.3 Signal
When, on the current bar, both TF_buy_breakout and TF_sell_breakout exceed scalpVolMult times their respective averages and (high − low)/minTick ≤ scalpTickCount and the buyer share is within scalpDeltaRatio of 50%, the module prints a “Spread ↔” label above the bar. The label uses the same ATR offset logic as other modules and draws a connector if enabled.
Figure caption, In this chart the spread‑capture module has identified a potential liquidity pocket. Buyer and seller volumes both spiked above their recent averages, yet the candle’s range measured only a couple of ticks and the buy/sell split stayed close to 50 %. This combination met the module’s criteria, so it printed a grey “Spread ↔” label above the bar. The red and green trend lines link the earliest and latest high and low pivots, and the dashed horizontals mark the highest high and lowest low within the current lookback window.
9. Money Flow Module
9.1 Concept
To translate volume into a monetary measure, this module multiplies each side’s volume by the closing price. It tracks buying and selling system money default currency on a per-bar basis and sums them over a chosen period. The difference between buy and sell currencies (Δ$) shows net inflow or outflow.
9.2 Inputs
• mf_period_len_mf: Number of bars used for summing buy and sell dollars.
• Label appearance settings: ATR length, multiplier, size, colors for up/down labels, and connector style and width.
• Toggles: Use enableMoneyFlowLabel_mf and showMFLabels to control whether the module and its labels are displayed.
9.3 Calculations
• Per-bar money: Buy $ = TF_buy_breakout × close; Sell $ = TF_sell_breakout × close. Their difference is Δ$ = Buy $ − Sell $.
• Summations: Over mf_period_len_mf bars, compute Σ Buy $, Σ Sell $ and ΣΔ$ using math.sum().
• Info table entries: Rows 9–13 display these values as texts like “↑ USD 1234 (1M)” or “ΣΔ USD −5678 (14)”, with colors reflecting whether buyers or sellers dominate.
• Money flow status: If Δ$ is positive the bar is marked “Money flow in” ; if negative, “Money flow out” ; if zero, “Neutral”. The cumulative status is similarly derived from ΣΔ.Labels print at the bar that changes the sign of ΣΔ, offset using ATR × label multiplier and styled per user preferences.
Figure caption, The chart illustrates a steady rise toward the highest recent pivot (HH1) with price riding between a rising green trend‑line and a red trend‑line drawn through earlier pivot highs. A green Money flow in label appears above the bar near the top of the channel, signaling that net dollar flow turned positive on this bar: buy‑side dollar volume exceeded sell‑side dollar volume, pushing the cumulative sum ΣΔ$ above zero. In the info table, the “Money flow (bar)” and “Money flow Σ” rows both read In, confirming that the indicator’s money‑flow module has detected an inflow at both bar and aggregate levels, while other modules (pivots, trend lines and support/resistance) remain active to provide structural context.
In this example the Money Flow module signals a net outflow. Price has been trending downward: successive high pivots form a falling red trend‑line and the low pivots form a descending green support line. When the latest bar broke below the previous low pivot (LL1), both the bar‑level and cumulative net dollar flow turned negative—selling volume at the close exceeded buying volume and pushed the cumulative Δ$ below zero. The module reacts by printing a red “Money flow out” label beneath the candle; the info table confirms that the “Money flow (bar)” and “Money flow Σ” rows both show Out, indicating sustained dominance of sellers in this period.
10. Info Table
10.1 Purpose
When enabled, the Info Table appears in the lower right of your chart. It summarises key values computed by the indicator—such as buy and sell volume, delta, total volume, breakout status, market phase, and money flow—so you can see at a glance which side is dominant and which signals are active.
10.2 Symbols
• ↑ / ↓ — Up (↑) denotes buy volume or money; down (↓) denotes sell volume or money.
• MA — Moving average. In the table it shows the average value of a series over the lookback period.
• Σ (Sigma) — Cumulative sum over the chosen lookback period.
• Δ (Delta) — Difference between buy and sell values.
• B / S — Buyer and seller share of total volume, expressed as percentages.
• Ref. Price — Reference price for breakout calculations, based on the latest pivot.
• Status — Indicates whether a breakout condition is currently active (True) or has failed.
10.3 Row definitions
1. Up volume / MA up volume – Displays current buy volume on the lower timeframe and its moving average over the lookback period.
2. Down volume / MA down volume – Shows current sell volume and its moving average; sell values are formatted in red for clarity.
3. Δ / ΣΔ – Lists the difference between buy and sell volume for the current bar and the cumulative delta volume over the lookback period.
4. Σ / MA Σ (Vol/MA) – Total volume (buy + sell) for the bar, with the ratio of this volume to its moving average; the right cell shows the average total volume.
5. B/S ratio – Buy and sell share of the total volume: current bar percentages and the average percentages across the lookback period.
6. Buyer Rank / Seller Rank – Ranks the bar’s buy and sell volumes among the last (n) bars; lower rank numbers indicate higher relative volume.
7. Σ Buy / Σ Sell – Sum of buy and sell volumes over the lookback window, indicating which side has traded more.
8. Breakout UP / DOWN – Shows the breakout thresholds (Ref. Price) and whether the breakout condition is active (True) or has failed.
9. Market Phase (Vol) – Reports the current volume‑only phase: Accumulation, Distribution or Neutral.
10. Money Flow – The final rows display dollar amounts and status:
– ↑ USD / Σ↑ USD – Buy dollars for the current bar and the cumulative sum over the money‑flow period.
– ↓ USD / Σ↓ USD – Sell dollars and their cumulative sum.
– Δ USD / ΣΔ USD – Net dollar difference (buy minus sell) for the bar and cumulatively.
– Money flow (bar) – Indicates whether the bar’s net dollar flow is positive (In), negative (Out) or neutral.
– Money flow Σ – Shows whether the cumulative net dollar flow across the chosen period is positive, negative or neutral.
The chart above shows a sequence of different signals from the indicator. A Bull Trap Risk appears after price briefly pushes above resistance but fails to hold, then a green Accum label identifies an accumulation phase. An upward breakout follows, confirmed by a Money flow in print. Later, a Sharp ↓ Risk warns of a possible sharp downturn; after price dips below support but quickly recovers, a Bear Trap label marks a false breakdown. The highlighted info table in the center summarizes key metrics at that moment, including current and average buy/sell volumes, net delta, total volume versus its moving average, breakout status (up and down), market phase (volume), and bar‑level and cumulative money flow (In/Out).
11. Conclusion & Final Remarks
This indicator was developed as a holistic study of market structure and order flow. It brings together several well‑known concepts from technical analysis—breakouts, accumulation and distribution phases, overbought and oversold extremes, bull and bear traps, sharp directional moves, market‑maker spread bars and money flow—into a single Pine Script tool. Each module is based on widely recognized trading ideas and was implemented after consulting reference materials and example strategies, so you can see in real time how these concepts interact on your chart.
A distinctive feature of this indicator is its reliance on per‑side volume: instead of tallying only total volume, it separately measures buy and sell transactions on a lower time frame. This approach gives a clearer view of who is in control—buyers or sellers—and helps filter breakouts, detect phases of accumulation or distribution, recognize potential traps, anticipate sharp moves and gauge whether liquidity providers are active. The money‑flow module extends this analysis by converting volume into currency values and tracking net inflow or outflow across a chosen window.
Although comprehensive, this indicator is intended solely as a guide. It highlights conditions and statistics that many traders find useful, but it does not generate trading signals or guarantee results. Ultimately, you remain responsible for your positions. Use the information presented here to inform your analysis, combine it with other tools and risk‑management techniques, and always make your own decisions when trading.
CLS Patterns + Price Action Levels📌 Key Features:
✅ CLS Candle Patterns Detection:
CLS Type 1 (Sweeps & Closes Opposite) – Confirms liquidity sweeps with opposite direction close.
CLS Type 2 (Sweeps but No Opposite Close) – Identifies liquidity traps without full reversal.
CLS Type 3 (Engulfing Candles) – Strong momentum shifts with engulfing price action.
CLS Type 4 (Order Block Reversals) – Institutional order flow recognition.
✅ Institutional & Price Action Levels:
250 Pip Institutional Levels – Major S&R zones for Forex & Indices.
Minor Quarter Points (25 Pips) – Intraday precision for refined entries.
✅ Liquidity Imbalance & Order Flow Gaps:
Detects early impulse moves & liquidity voids
Highlights areas of market inefficiency & potential reversals
✅ Higher Timeframe EMA for Trend Confirmation:
Customizable Weekly 3 EMA Overlay
Dynamic color change based on price action
✅ Built-in Alerts for CLS Patterns:
Real-time alerts for CLS buy/sell signals
Configurable notifications for trade execution
🎯 How to Use:
1️⃣ Enable CLS Pattern Signals to spot liquidity sweep candles with directional confirmation.
2️⃣ Use Institutional & QP Levels to identify key areas where price is likely to react.
3️⃣ Monitor Liquidity Imbalances to detect inefficient price moves that may fill.
4️⃣ Confirm Trend with HTF EMA to trade with momentum.
5️⃣ Set Alerts for CLS patterns and key price levels to stay ahead of the market.
This indicator is ideal for Forex, Indices, and Crypto traders looking to refine their entries with precise price action confirmations.
DEMO - FxCanli Price ActionEN - FxCanli TradingView Price Action indicator can draw and alert at everything about PRICE ACTION.
DEMO VERSION of FXCANLI PRICE ACTION Indicator work with any NZD or any DOGE symbols
TR - FxCanli TradingView Price Action indikatörü grafiklerinizde PRICE ACTION ile ilgili tüm çizimleri yapar ve alarm verir.
FXCANLI PRICE ACTION indikatörünün DEMO VERSİYONUNU herhangi bir NZD veya DOGE sembolü ile kullanabilirsiniz.
EN - For Example | TR - Örnek
NZD|...
NZD|USD
NZD|CAD
NZD|CHF
NZD|JPY
DOGE|...
DOGE|USD
DOGE|USDT
DOGE|USDTPERP
DOGE|BTC
EN - FxCanli TradingView Price Action indicator can draw and alert at;
Break of Structure (BOS),
Change of Character (CHoCH),
Liquidity,
Order Block,
Supply & Deman
TR - FxCanli TradingView Price Action indikatörü grafiklerinizde;
Break of Structure (BOS)
Change of Characte (CHoCH)
Liquidity
Order Block
Arz & Talep bölgelerini otomatik olarak çizer ve alarm verir.
Market Structure;
EN - You can easly follow market structure, Up Trend with green waves, Down trend with Red waves
TR - Market yapısını kolayca takip edebilirsiniz. Yukarı trendi yeşil dalgalar ile, Aşağı trendi kırmızı dalgalar ile.
Change of Character (CHoCH)
*************************************
EN - Shows trend reversals
TR - Trend dönüşümlerini gösterir
Break of Structure (BOS)
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EN - Shows trend continuations
TR - Devam eden trendleri gösterir
Liquidity
***********
EN - Shows Liquidity levels
TR - Likidite seviyelerini gösterir
Order Block and Supply&Demend
***************
EN - Shows Order Block and Supply&Demend levels which is a technical analysis technique that tracks the accumulation of orders (when bullish ) and distribution of orders (when bearish ) of banks and institutional traders.
TR - Bankaların ve kurumsalların emir birikimini (yükseliş olduğunda) ve emir dağılımını (düşüş olduğunda) Order Block ve Arz & Talep olarak gösterir.
XRP Comparative Price Action Indicator - Final VersionXRP Comparative Price Action Indicator - Final Version
The XRP Comparative Price Action Indicator provides a comprehensive visual analysis of XRP’s price movements relative to key cryptocurrencies and market indices. This indicator normalises price data across various assets, allowing traders and investors to assess XRP’s performance against its peers and major market influences at a glance.
Key Features:
• Normalised Price Data: Prices are scaled between 0.00 and 1.00,
enabling straightforward comparisons between different assets.
• Key Comparisons: Includes normalised prices for:
• XRP/USD (Bitstamp)
• XRP Dominance (CryptoCap)
• XRP/BTC (Bitstamp)
• BTC/USD (Bitstamp)
• BTC Dominance (CryptoCap)
• USDT Dominance (CryptoCap)
• S&P 500 (SPY)
• DXY (Dollar Index)
• ETH/USD (Bitstamp)
• ETH Dominance (CryptoCap)
• XRP/ETH (Binance)
• Visual Clarity: Each asset is plotted with distinct colors for easy identification,
with thicker lines enhancing visibility on the chart.
• Reference Lines: Optional horizontal lines indicate the minimum (0) and maximum (1) normalised values, providing clear reference points for analysis.
This indicator is ideal for traders looking to understand XRP’s relative performance, gauge market sentiment, and make informed trading decisions based on comparative price action.
GT - Recent High/Low█ OVERVIEW
This indicator will help traders identify the recent high and low of the current trend so we know where we are in the trend. If recent high/low broken it could be that the trend is changing. This indicator is based on price action.
█ HOW IT WORKS
Basically, a trend is when the prices move up and down in a stair-step fashion. In an uptrend, The indicator keeps track of the up and down movement and remember the last high and once the price pull back and broke the recent high it will mark out the new high. When prices pull back in and uptrend it must not broken the recent low. If the pull back move broke the recent low it could means that the trend is changing and we could see prices start going down. Downtrend is the reverse of uptrend.
Whenever the price broke the recent high or low the script will go back from the candle that broken the previous high to find the recent low. As long as the high of previous candle is lower than each other consecutively backward, all of those candle will be counted as part of the up move. The lowest low of these candles will be counted as the recent low. If one of the candles that are part of the up move is an inside bar then the recent low is the low of that inside bar candle (for downtrend it will be the high). Inside bar candle is a candle that it's high and low are both inside the high and low of the candle preceding it (to its left).
█ DISCLAIMERS
The content of this post is NOT investment advice and I am not a financial advisor.
This is for educational purpose only.
Always do you own research. Do not blindly trust a random stranger online.
█ HOW DOES IT HELP YOU
Moving the recent high and low every time a candle break out is a very tedious job. Plus, you cannot set an automatic alert system whenever price broke a recent high or low. This indicator allow you to create an alert whenever a recent high or low is broken.
You can use this indicator as a trailing stop loss strategy. Move the stop loss of your long position to the recent low level whenever price broke recent high or move the stop loss of your short position to the recent high level whenever price broke recent low.
The bullet line is the minor recent high or low before the prices broke the major recent high/low. This line could be the level where prices touch before continue with the trend.
█ TRADING IDEAS
Based on how a candle broke the recent high or low, if it breaks impulsively you can develop your strategy to trade the pullback and hoping on the trend before it continue to move up or down.
█ CURRENT FEATURES
Recent high/low.
Previous high/low.
Inside bar marker.
Alert for when high/low broken. Configurable message format either in JSON or plain text, useful when using with webhook alert.
Bullet line (trend continuation line).
Toggle switch to redraw in realtime. CAUTION: this will cause repainting and alert will fire multiple time during a real-time bar.
█ NOTES
- I am very new to pine script. So there could be a way to handle the alert in realtime to not fire multiple time, Once I found a way I will update the indicator. However, redrawing in realtime will definitely cause repainting of high/low or bullet line, as far as I know this cannot be fixed because it is how pine script compiler works.
- If you like the indicators and it helps you please be sure to leave a like.
█ CREDITS
This indicator is made by me but the idea is inspired by Guerrilla Trading course. Which is why this indicator is closed-source. Guerrilla doesn't support the use of indicators and they believe in mastering reading candle sticks using price action on a naked chart. However, I'm a visual learner, I do my due diligent in backtesting and learning how to read the chart. I think that a little help with indicator to smooth my learning curve or make it easier to identify important level is very useful.
!IMPORTANT!: If you are a member of Guerrilla please do not advertise this indicator on their forum as they do not support the idea of using indicators.
While using the indicator if you found any bugs or the lines draw incorrectly please report it directly to me by leaving a comment or message me directly. Do not report the bugs of this indicator to Guerrilla Trading as this has nothing to do with them and they are not the maintainer.
If you are not a member of Guerrilla but you are considering joining Guerrilla Trading. You can support me out by using my affiliate link in my Signature . Thank you very much!
█ CONTRIBUTE
If you are a developer and a member of Guerrilla and you would like to contribute to this indicator please message me.
MasterChartsTrading Price Action Indicators-6.0These are upgraded MasterChartsTrading Price Action Indicators with future projections
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How to understand price action.
It is very easy to read price action if you have a reference point. These support/resistance lines are there to help you read where the buyers and sellers are likely to make a stand.
You can also think of these indicators as moving pivot points .
MasterChartsTrading Price Action Indicators show good price levels to enter or exit a trade.
The Blue indicator line serves as a Bullish Trend setter.
If your instrument closes above the Blue line, we think about going Long (buying).
For commodities and Forex, when your trading instrument closes below the Red line, we think about Shorting (selling).
For Stocks, I prefer to use the Yellow line as my Bearish Trend setter (on Daily charts ). A stock has to close below the Yellow line first, then rally towards the Red line and top out there. This is where I would short it.
Moving Average Price ActionMAPA - Moving Average Price Action. This script depicts the areas of possible trend reversal with respect to four moving average inputs whilst taking price action into account. It is fairly simple to use the script and should be used as an aid to manual trading. The price of the close with respect to the open is the basis for this script and is to be used for ascertaining trend reversals or continuations thereof. The prices are considered and compared only through specific candles. Anytime we have a candle which has its respective moving average value in between the candle's open and close price, the candle is marked and the price recorded for comparison to the price of such candles. This script uses four such different comparisons with respect to the four moving averages displayed. Only candles associated to the specific moving averages are compared for prices of close of the current to the open of the previous such candle. For the trend to go upwards, the close price of the bull candle has to be more than that of the open price of the respective bear candle. In order to ascertain the upward trend, starting with the moving average of the highest value and moving towards the lowest value, all such close prices of the respective bull candles have to be greater than that of the open prices of the respective bear candles. And as such for the downward trend, all such close prices of the respective bear candles have to be lesser than that of the open prices of the respective bull candles.
Candle close on high time frameOVERVIEW
This indicator plots persistent closing levels of higher time frame candles (H1, H4, and Daily) on the active intraday chart in real time. Unlike similar tools, it offers granular control over line projection length, fully independent toggles per timeframe, and a built-in mechanism that automatically limits the total number of historical levels to avoid chart clutter and performance issues.
CONCEPTS
Key levels from higher time frames often act as areas where price reacts or consolidates. By projecting each candle's exact closing price forward as a horizontal reference, traders can quickly identify dynamic support and resistance zones relevant to the current price action. This indicator enables seamless multi-timeframe analysis without the need to manually switch chart intervals or re-draw lines.
FEATURES
Independent Time Frame Selection: Enable or disable H1, H4, and Daily levels individually to tailor the analysis.
Custom Extension Length: Each timeframe's closing level can be projected forward for a user-defined number of bars.
Performance Optimization: The script maintains an internal limit (default: 100) on the number of active lines. When this threshold is exceeded, the oldest lines are removed automatically.
Visual Differentiation: Colors for each timeframe are fully customizable, enabling immediate recognition of level origin.
Immediate Update: New levels appear as soon as a higher timeframe candle closes, ensuring real-time reference.
USAGE
From the indicator inputs, select which timeframes you want to track.
Adjust the extension lengths to fit your trading style and time horizon.
Customize the line colors for clarity and personal preference.
Use these projected levels as part of your confluence criteria for entries, exits, or stop placement.
Combine with trend indicators or price action tools to enhance your multi-timeframe strategy.
ORIGINALITY AND ADDED VALUE
While similar scripts exist that plot higher timeframe levels, this implementation differs in:
Its efficient automatic cleanup of old lines to preserve chart performance.
The independent extension and color settings per timeframe.
Immediate reaction to new candle closes without repainting.
Simplicity of use combined with precise customization.
This combination makes it a practical and flexible tool for traders who rely on clear HTF level visualization without manual drawing or the limitations of built-in TradingView tools.
LICENSE
This script is published open-source under the Mozilla Public License 2.0.
BAFD (Price Action For D.....s)🧠 Overview
This indicator combines multiple Moving Averages (MA) with visual price action elements such as Fair Value Gaps (FVGs) and Swing Points. It provides traders with real-time insight into trend direction, structural breaks, and potential entry zones based on institutional price behavior.
⚙️ Features
1. Multi MA Visualization (SMA & EMA)
- Plots short-, mid-, and long-term moving averages
- Fully customizable: MA type (SMA/EMA) and length per MA
- Dynamic color coding: green for bullish, red for bearish (based on close >/< MA)
2. Fair Value Gaps (FVG) Detection
Detects bullish and bearish imbalances using multiple logic types:
- Same Type: Last 3 candles move in the same direction
- Twin Close: Last 2 candles close in the same direction
- All: Shows all valid FVGs regardless of pattern
Gaps are marked with semi-transparent yellow boxes
Useful for identifying potential liquidity voids and retest zones
3. Swing Highs and Lows
- Automatically identifies major swing points
- Customizable sensitivity (strength setting)
Marked with subtle colored dots for structure identification or support/resistance mapping
📈 Use Cases
- Trend Identification: Visualize momentum on multiple timeframes
- Liquidity Mapping: Spot potential retracement zones using FVGs
- Confluence Building: Combine MA slope, FVG zones, and swing points for refined setups
🛠️ Customizable Settings
- Moving average type and length for each MA
- FVG logic selection and color
- Swing point strength
🔔 Note
This script does not generate buy/sell signals or alerts. It is designed as a visual decision-support tool for discretionary traders who rely on market structure, trend, and price action.
BINANCE-BYBIT Cross Chart: Spot-Perpetual CorrelationName: "Binance-Bybit Cross Chart: Spot-Perpetual Correlation"
Category: Scalping, Trend Analysis
Timeframe: 1M, 5M, 30M, 1D (depending on the specific technique)
Technical analysis: This indicator facilitates a comparison between the price movements shown on the Binance spot chart and the Bybit perpetual chart, with the aim of discerning the correlation between the two charts and identifying the dominant market trends. It automatically generates the corresponding chart based on the ticker selected in the primary chart. When a Binance pair is selected in the main chart, the indicator replicates the Bybit perpetual chart for the same pair and timeframe, and vice versa, selecting the Bybit perpetual chart as the primary chart generates the Binance spot chart.
Suggested use: You can utilize this tool to conduct altcoin trading on Binance or Bybit, facilitating the comparison of price actions and real-time monitoring of trigger point sensitivity across both exchanges. We recommend prioritizing the Binance Spot chart in the main panel due to its typically longer historical data availability compared to Bybit.
The primary objective is to efficiently and automatically manage the following three aspects:
- Data history analysis for higher timeframes, leveraging the extensive historical data of the Binance spot market. Variations in indicators such as slow moving averages may arise due to differences in historical data between exchanges.
- Assessment of coin liquidity on both exchanges by observing candlestick consistency on smaller timeframes or the absence of gaps. In the crypto market, clean charts devoid of gaps indicate dominance and offer enhanced reliability.
- Identification of precise trigger point levels, including daily, previous day, or previous week highs and lows, which serve as sensitive areas for breakout or reversal operations.
All-Time High (ATH) and All-Time Low (ATL) levels may vary significantly across exchanges due to disparities in historical data series.
This tool empowers traders to make informed decisions by leveraging historical data, liquidity insights, and precise trigger point identification across Binance Spot and Bybit Perpetual market.
Configuration:
EMA length:
- EMA 1: Default 5, user configurable
- EMA 2: Default 10, user configurable
- EMA 3: Default 60, user configurable
- EMA 4: Default 223, user configurable
- Additional Average: Optional display of an additional average, such as a 20-period average.
Chart Elements:
- Session separator: Indicates the beginning of the current session (in blue)
- Background: Indicates an uptrend (60 > 223) with a green background and a downtrend (60 < 223) with a red background.
Instruments:
- EMA Daily: Shows daily averages on an intraday timeframe.
- EMA levels 1h - 30m: Shows the levels of the 1g-30m EMAs.
- EMA Levels Highest TF: Provides the option to select additional EMA levels from the major timeframes, customizable via the drop-down menu.
- "Hammer Detector: Marks hammers with a green triangle and inverted hammers with a red triangle on the chart
- "Azzeramento" signal on TF > 30m: Indicates a small candlestick on the EMA after a dump.
- "No Fomo" signal on TF < 30m: Indicates a hyperextended movement.
Trigger Points:
- Today's highs and lows: Shows the opening price of the day's candlestick, along with the day's highs and lows (high in purple, low in red, open in green).
- Yesterday's highs and lows: Displays the opening price of the daily candlestick, along with the previous day's highs and lows (high in yellow, low in red).
You can customize the colors in "Settings" > "Style".
It is best used with the Scalping The Bull indicator on the main panel.
Credits:
@tumiza999: for tests and suggestions.
Thanks for your attention, happy to support the TradingView community.
TICK and Price Action Indicator for NQ 5 minuteThis indicator for 5 minute NQ charts utilises TICK index and price action.
Where TICK opens beyond +1000/-1000 this is an overbought/oversold signal.
Similarly, when TICK closes below -200 it is a sell signal, and above +200 it is a buy signal.
This indicator colours the NQ bars based on the closing/opening values of the previous TICK.
It also draws arrows where price action (close above previous high, close below previous low) is in concordance with TICK behaviour.
Market Structure & Price Action Toolkit (Expo)█ Overview
This comprehensive Market Structure and Price Action toolkit integrates pioneering price action concepts, including fractal-based market structure, grid-price action system, retail and institutional levels/zones, liquidity concepts, and a plethora of advanced customization options to give you a trading advantage via price action automatically. Different from traditional technical indicators, which can be lagging, complex, and cluttered, this indicator focuses solely on raw price data to deliver accurate and real-time insights. All the features in this script originate exclusively from price action, concentrating on fractals-based swing highs, swing lows, and market structure. This enables users to automate their price action analysis across any market or timeframe.
The toolkit focuses on the real-time application of price data rather than historical data to ensure its usefulness for price action and smart money (ICT) traders. With this indicator, users can automate their price action analysis across various markets and timeframes, gaining a significant edge in their trading strategies.
█ Features and How They Work
█ Trading Systems
Market Structure:
Market Structure deals with the interpretation of price action that forms the market structure, focusing on understanding key shifts and changes in the market that may indicate where 'smart money' (large institutional investors and professional traders) might be moving in the market. This feature is based on real-time fractals instead of static pivot points. Fractals are based on the idea that markets are patterned, and those patterns repeat themselves on all scales – hence, the term "fractal", which means "fraction of the whole". The function uses fractal zones that refer to areas where the price is likely to experience a change in direction. These zones are identified by observing a series of fractal points.
Grid:
The grid system works similarly to the market structure but displays the data as a grid of support and resistance zones. This is a new and unique approach to understanding market structure. It might be a more convenient way for traders to understand how to act.
█ Retail Zones
Support/Resistance:
Support and Resistance zone are often seen and displayed with a delay. This feature is 100% real-time and displays SR levels as the price reacts and forms new highs and lows.
Confirmed Support/Resistance:
As the name suggests, the confirmed zone is first displayed on the chart when the price has reacted to a high/low formation over x period of time. This feature is handy to trade retest after breakouts of the zone.
We wanted to keep the retail zones simple regarding how they work and function to help all kinds of traders understand how to use them.
█ Institutional Zones
Supply/Demand:
Calculating supply and demand in its raw form is challenging due to the complexity and dynamism of financial markets. However, the function uses several concepts to gauge supply and demand levels.
Buying and Selling pressure: The buying pressure represents the highest price point (over x period and volume), while the selling pressure price represents the lowest price point (over x period and volume). The gap between the two is known as the buying/selling pressure spread. A narrow spread often signifies high liquidity and balanced supply and demand, while a wider spread might indicate imbalances.
Price Trends: Upward price movements indicate higher demand, while downward trends may suggest increased supply.
Order blocks:
Order blocks are similar to supply/demand, and the main difference is that an order block is created at specific price action and market structure patterns.
█ How to use the Market Structure Toolkit
Market Structure
Market Structure + Confirmed S/R
Grid System
Demand Zone
Supply Zone
Order Block
Support/Resistance Zones
Confirmed Support/Resistance Zone
Retest of SR Levels
█ Why Use Price Action and Market Structure
A comprehensive trading strategy often involves using both price action and market structure. Traders can use price action to understand the immediate behavior of the price and market structure to understand the broader context within which the price is moving.
Market Structure combined with Price Action refers to the observable pattern of price movement. Traders use this structure to identify trend direction (up, down, or sideways), market phase (trend or range), and key price levels (like support and resistance).
Here are some core concepts within price action trading:
Trend Identification: This is a fundamental aspect of price action trading. By simply looking at the raw price data on a chart, traders can identify whether the instrument is in an uptrend (making higher highs and higher lows), a downtrend (making lower highs and lower lows), or ranging sideways.
Support and Resistance Levels: These are horizontal lines drawn on a chart where the price has historically had difficulty moving beyond. Support is a price level where buying pressure is strong enough to prevent the price from falling further, while resistance is a level where selling pressure is strong enough to prevent further price increases.
Candlestick Patterns: Price action traders rely heavily on candlestick patterns, which can provide a lot of information about market sentiment.
Chart Patterns: In addition to individual candlestick patterns, price action traders often look for larger chart patterns like double tops/bottoms, triangles, wedges, head and shoulders patterns, and more. These patterns can take longer to form but can also provide insight into potential price movement.
Price Zones: Rather than exact price levels, many price action traders consider zones of support and resistance, understanding that market behavior isn't always perfectly precise. A zone might cover a small range of prices at which the market has repeatedly reversed in the past.
The idea behind price action trading is that the price itself can provide clues to what the market might do next. Traders who follow this approach believe that price is the final determinant of value and contains all the information needed.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ In conclusion, This toolkit is particularly useful for price action and smart money traders, as it prioritizes real-time application of price data, which in turn allows a more responsive and informed decision-making process in trading.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Relative VolatilityRelative volatility highlights large changes in price. This was designed to be used with my relative volume indicator so that traders can see the effect of volume on price action. It is also a good tool to analyse breakout patterns to identify best entry points and waves.
Above shows relative volatility and relative volume working together.
Three Bar Exit Trailing Stop - Naked Forex: Price ActionThree Bar Exit Trailing Stop - Naked Forex: Exit indicator based on price action. The naked trader locks in profit by trailing the stop loss behind the lowest low of the last three candlesticks (for buy trades) or above the highest high of the last three candlesticks (For sell trades)
Volume Based Price ActionThis indicator is uses volume and common candlestick patterns to suggest potential trend reversals. It is not quite meant to be used as a buy/sell signal. Instead, it should be used to evaluate market psychology based on when the buyers or sellers fully dominated the price action.
In the current version, the indicators looks for engulfing and pin-bar patterns. Optionally, it also considers rising volume as further confirmation to the signal. In future, I plan on allowing it to track more candlestick patterns.
Please let me know if you have any suggestions, concerns, or comments!
Pure Price Action Liquidity Sweeps [LuxAlgo]The Pure Price Action Liquidity Sweeps indicator is a pure price action adaptation of our previously published and highly popular Liquidity-Sweeps script.
Similar to its earlier version, this indicator detects the presence of liquidity sweeps on the user's chart, while also identifying potential areas of support/resistance or entry when liquidity levels are taken. The key difference, however, is that this price action version relies solely on price patterns, eliminating the need for numerical swing length settings.
🔶 USAGE
A Liquidity Sweep occurs when the price breaks through a liquidity level , after which the price returns below/above the liquidity level , forming a wick.
The examples below show a bullish and bearish scenario of "a wick passing through a liquidity level where the price quickly comes back".
Short-term liquidity sweep detection is based on short-term swing levels. Some of these short-term levels, depending on further market developments, may evolve into intermediate-term levels and, in the long run, become long-term levels. Therefore, enabling short-term detection with the script means showing all levels, including minor and temporal ones. Depending on the trader's style, some of these levels may be considered noise. Enabling intermediate and long-term levels can help filter out this noise and provide more significant levels for trading decisions. For further details on how swing levels are identified please refer to the details section.
The Intermediate-term option selection for the same chart as above, filters out minor or noisy levels, providing clearer and more significant levels for traders to observe.
🔶 DETAILS
The swing points detection feature relies exclusively on price action, eliminating the need for numerical user-defined settings.
The first step involves detecting short-term swing points, where a short-term swing high (STH) is identified as a price peak surrounded by lower highs on both sides. Similarly, a short-term swing low is recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term swing and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, we now utilize the previously detected short-term swing points. For intermediate-term swing points, we rely on short-term swing points, while for long-term swing points, we use the intermediate-term ones.
🔶 SETTINGS
Detection: Period options of the detected swing points.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Liquidity-Sweeps.
Pure Price Action Order & Breaker Blocks [LuxAlgo]The Pure Price Action Order & Breaker Blocks indicator is a pure price action adaptation of our previously published and highly popular Order-Blocks-Breaker-Blocks script.
Similar to its earlier version, this indicator detects order blocks that can automatically turn into breaker blocks on the chart once mitigated. However, the key difference/uniqueness is that the pure price action version relies solely on price patterns, eliminating the need for length definitions. In other words, it removes the limitation of user-defined inputs, ensuring a robust and objective analysis of market dynamics.
🔶 USAGE
An order block is a significant area on a price chart where there was a notable accumulation or distribution of orders, often identified by a strong price move followed by consolidation. Traders use order blocks to identify potential support or resistance levels.
A mitigated order block refers to an order block that has been invalidated due to subsequent market movements. It may no longer hold the same significance in the current market context. However, when the price mitigates an order block, a breaker block is confirmed. It is possible that the price might trade back to this breaker block, potentially offering a new trading opportunity.
Users can optionally enable the "Historical Polarity Changes" labels within the settings menu to see where breaker blocks might have previously provided effective trade setups.
This feature is most effective when using replay mode. Please note that these labels are subject to backpainting.
🔶 DETAILS
The swing points detection feature relies exclusively on price action, eliminating the need for numerical user-defined settings.
The first step involves detecting short-term swing points, where a short-term swing high (STH) is identified as a price peak surrounded by lower highs on both sides. Similarly, a short-term swing low is recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term swing and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, we now utilize the previously detected short-term swing points. For intermediate-term swing points, we rely on short-term swing points, while for long-term swing points, we use the intermediate-term ones.
🔶 SETTINGS
Detection: Market structure used to detect swing points for creating order blocks.
Show Last Bullish OB: Number of the most recent bullish order/breaker blocks to display on the chart.
Show Last Bearish OB: Number of the most recent bearish order/breaker blocks to display on the chart.
Use Candle Body: Allows users to use candle bodies as order block areas instead of the full candle range.
🔹 Style
Show Historical Polarity Changes: Allows users to see labels indicating where a swing high/low previously occurred within a breaker block.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Order-Blocks-Breaker-Blocks.
