Tìm kiếm tập lệnh với "buy sell"
Buy Sell Signal & IchimokuThe script totally based on technical analysis. Indication of "Buy" will appear once the conditions are matched. Please don't follow "Buy" indication if it appear at top of chart.
Yellow candle is a pre-alert for any momentum coming together with increasing of price.
Yellow circle at volume bar is to show that the momentum was there.
Orange line is support & resistance.
Buy SellKıvanc hocanın yazdığı 2 stop loss indikatörünün birleşmesi sonucu bulundu. Çalışma mantığını kullandıkça anlayacaksınızıdır.
Buy Sell signal by Spicytrader
Get on board before going to the moon !
Spicytrader instantly identifies when a potential pump or dump is beginning.
Compatible with Autoview bot
GET ACCESS : spicytrader.com
Buy/Sell Ahmed Rashiedtrade with confidence good for both intra day and long term took me 2 yrs to finish it
Volume Comparison with Buyer/Seller PressureTHIS indicator is well-structured and provides a comprehensive way to analyze volume alongside buyer and seller pressure. This indicator helps traders analyze volume dynamics in the stock or cryptocurrency market while simultaneously assessing buyer and seller pressure. Its use case revolves around identifying strong buying or selling activity, neutral conditions, and volume trends over different time periods. Below is a breakdown of how to use this indicator:
This Pine Script indicator helps traders analyze volume dynamics in the stock or cryptocurrency market while simultaneously assessing buyer and seller pressure. Its use case revolves around identifying strong buying or selling activity, neutral conditions, and volume trends over different time periods. Below is a breakdown of how to use this indicator:
Key Features and Use Case
Volume-Based Insights:
Displays daily volume and compares it to the 3-day, 5-day, 10-day, and 20-day moving averages of volume. Helps traders identify days with unusual volume spikes relative to historical averages, signaling potential reversals or breakouts.
Buyer and Seller Pressure:
Measures buyer pressure: how much the closing price dominates the trading range of the day.
Measures seller pressure: how much the opening price dominates the trading range of the day.
Highlights areas where buying or selling pressure is particularly strong (≥ 0.75).
Background Signals:
Green Background: Strong buyer pressure (indicative of potential upward momentum).
Red Background: Strong seller pressure (indicative of potential downward momentum).
Gray Background: Neutral market conditions (neither buying nor selling dominance).
Alerts:
Alerts traders when:
Strong buying signals are detected.
Strong selling signals are detected.
The market is neutral, with neither buyers nor sellers in control.
Decision-Making Aid:
Combines volume analysis with price action (buyer/seller pressure) to help traders identify:
Potential breakout opportunities.
Reversal points.
Neutral zones where a trader might avoid trading due to indecision in the market.
How to Use It in Trading:------->
Add the Indicator:
Apply this Indicator to your Trading View chart to start visualizing the buyer/seller pressure and volume averages.
Interpret Volume Trends:
Look for days when daily volume significantly exceeds the 3-day, 5-day, 10-day, or 20-day average.
These could indicate:
A breakout when aligned with strong buyer pressure.
A sell-off when aligned with strong seller pressure.
React to Background Colors:
* Green Background (Strong Buyer Pressure):
Suggests buyers are dominating the market, and upward momentum is likely.
Use this signal to consider buying opportunities, especially if volume is above average.
* Red Background (Strong Seller Pressure):
Indicates sellers are in control, and prices might fall.
Use this signal to consider selling or shorting opportunities.
* Gray Background (Neutral Market):
Reflects indecision; avoid entering trades during these periods unless other signals support a strategy.
Volume Confirmation:
Combine volume analysis with buyer/seller pressure to confirm trends.
Example: A high daily volume with strong buyer pressure signals a high-probability uptrend.
Set Alerts:
Enable alerts to receive real-time notifications when the market generates strong buy/sell signals or enters a neutral zone.
Who Can Benefit:
* Day Traders: Quickly assess intraday market dynamics and volume trends.
* Swing Traders: Identify breakout opportunities or reversal points based on strong buyer/seller pressure.
* Volume Analysts: Compare historical volume averages to current conditions for deeper insights.
Limitations:
Does not guarantee success—should be combined with other technical indicators or strategies.
In low-volume markets, signals may produce false positives or unreliable results.
Assumes traders have basic knowledge of price action and volume analysis.
By integrating this indicator into your strategy, you gain a powerful tool to analyze buyer/seller dominance alongside volume trends, improving your market timing and trade execution.
The Buyer and Seller Pressure components in this indicator provide crucial insights into the market's sentiment and momentum by analyzing the price action relative to the trading volume. Here's how they are used:
1. Buyer Pressure:
Formula:
Buyer Pressure = (Close − Open) / (High − Low )
Interpretation:
* A high buyer pressure (≥ 0.75) indicates strong bullish sentiment, where the price closes much higher than it opened, and the range (high-low) is sufficiently wide.
* It identifies periods of aggressive buying, often signaling potential bullish trends or confirming upward momentum.
2. Seller Pressure:
Formula:
Seller Pressure = (Close − Open ) / (High -Low )
Interpretation:
*A high seller pressure (≥ 0.75) suggests strong bearish sentiment, where the price closes much lower than it opened, within a wide range.
*It helps identify periods of aggressive selling, signaling potential bearish trends or downward momentum.
Purpose in the Indicator:
1. Market Sentiment Analysis:
* Buyer Pressure and Seller Pressure allow traders to gauge market sentiment—whether buyers or sellers dominate a particular time frame.
* This helps in identifying trend reversals or confirmations.
2. Decision-Making Framework:
* The indicator uses thresholds (default 0.75) to classify the market into:
* Strong Buy Signal: When buyer pressure is dominant.
* Strong Sell Signal: When seller pressure is dominant.
* Neutral Signal: When neither buyer nor seller pressure dominates.
*This classification provides a straightforward decision-making tool for traders.
Risk Management:
*By identifying periods of strong buying or selling, traders can avoid entering trades in highly volatile or one-sided markets, which helps reduce risk.
Volume Confirmation:
*Integrating volume data with buyer/seller pressure helps confirm trends. For example:
*High buyer pressure accompanied by higher-than-average volume strengthens the bullish signal.
*Similarly, high seller pressure with higher-than-average volume confirms bearish signals.
Trade Timing:
*The indicator highlights conditions of potential entry (strong buy) or exit (strong sell), allowing traders to time their trades better based on real-time market activity.
Use Case:
*Example:
*Suppose the indicator shows Buyer Pressure = 0.85 with daily volume above the 3-day average. This combination suggests strong bullish activity with momentum, signaling a buy opportunity.
*Conversely, if Seller Pressure = 0.80 with volume above the 5-day average, it signals strong bearish momentum, ideal for selling or shorting.
This indicator combines buyer/seller pressure with volume dynamics, making it valuable for short-term and intraday traders looking for precise market entries and exits.
The background color in this indicator plays an important visual role in helping traders quickly identify the market sentiment based on buyer and seller pressure. It provides a dynamic, color-coded background that changes depending on the strength of the market's buying or selling activity.
Here's how it works:
Background Color Logic:
1. Green Background (Strong Buy Signal):
*Condition: The background turns green when buyer pressure is greater than or equal to 0.75 (strong buying pressure).
*Interpretation: A green background indicates that there is significant bullish sentiment in the market, with strong buying activity. Traders can interpret this as an environment conducive to buying or holding long positions.
*Visual Effect: This helps to quickly spot bullish market conditions, reinforcing potential entry signals for buyers.
2.Red Background (Strong Sell Signal):
*Condition: The background turns red when seller pressure is greater than or equal to 0.75 (strong selling pressure).
*Interpretation: A red background indicates that the market is dominated by selling, showing strong bearish sentiment. Traders can consider this as a signal to sell or short the asset.
*Visual Effect: The red background highlights moments when the market is heavily selling, prompting traders to either exit long positions or take short positions.
Gray Background (Neutral/Indecision Zone):
Condition: The background turns gray when neither buyer nor seller pressure exceeds 0.75. This means the market is neutral, with no dominant bullish or bearish sentiment.
Interpretation: A gray background suggests market indecision or balance between buyers and sellers. It can indicate periods of consolidation or sideways movement where no strong trend is forming.
Visual Effect: The gray background helps traders avoid entering trades when the market lacks a clear direction or when the sentiment is neutral, reducing risk during indecisive times.
Practical Use:
Instant Visual Confirmation:
*Traders can use the background color as an instant confirmation of the market’s sentiment. For instance, if the background turns green, traders might feel more confident in making a long (buy) trade.
*If the background turns red, it serves as a strong visual cue to short or exit a long position.
Helps with Trade Timing:
*The background color can be used in conjunction with other indicators and volume data to time entries and exits more effectively. For example:
*A green background with strong volume indicates a strong trend that could justify a buy.
*A red background with a significant volume surge signals strong selling pressure, which could prompt a sell.
Simplifies Market Analysis:
*For traders who prefer visual cues over complex analysis, the background color simplifies market conditions. Instead of focusing on individual numbers or values, the color-coded background gives them a quick, intuitive view of the market sentiment.
Summary:
* Green background = Strong buying pressure (bullish sentiment)
* Red background = Strong selling pressure (bearish sentiment)
* Gray background = Neutral market (indecision or balance between buyers and sellers)
This background color functionality helps traders stay aware of the prevailing market sentiment at a glance, providing an intuitive way to guide trading decisions.
Volume Imbalance Analyzer - 70% & 80% Version1.01Here’s a clean “definition” you can drop into your docs. It explains **what** the indicator is, **what it helps with**, and **how** to use it—plain and practical.
# Definition
**Volume Imbalance Analyzer (70% & 80%)** flags bars where estimated buy vs. sell volume is heavily one-sided. It colors those bars, adds labels (B70/B80 or S70/S80), and can alert you in real time. The goal is to quickly spot spots of **aggressive participation** (buyers or sellers) that often act as magnets for a **retest** or as **exhaustion/continuation** areas.
# What it helps you do
* **Find high-energy bars** where one side dominates (potential turning or continuation points).
* **Plan retests:** Track when price comes back into the imbalance candle’s range (common entry/take-profit logic).
* **Filter trades:** Only act when the market shows unusual pressure (≥70% or ≥80%).
* **Add context to setups:** Combine with S/R, FVGs, or trend tools to time entries with less guesswork.
* **Alert-driven workflow:** Get notified the moment extreme pressure prints.
# How it helps (workflow)
1. **Scan for signals:**
* **B80/B70** = strong buying; **S80/S70** = strong selling.
* 80% is “extreme” and overrides 70%.
2. **Mark the zone:** The imbalance candle’s **high–low** defines a zone. Many traders wait for a **retest** into that range.
3. **Decide intent:**
* After **B80/B70**, look for pullbacks to buy (or fades if you see exhaustion).
* After **S80/S70**, look for rallies to sell (or fades if exhaustion).
4. **Confirm with context:** Check trend, key levels, liquidity, session timing, ATR/volatility.
5. **Manage risk:** Place stops beyond the zone; size trades so a failed retest doesn’t ruin the day.
# How it works (under the hood, briefly)
The script **estimates buy/sell volume** from each candle’s body, wicks, and total volume, then computes an **imbalance %**. If the % crosses **70%** or **80%** (scaled by a Sensitivity setting), it paints the bar, drops a label, and optionally fires an alert. It also stores the imbalance candle’s range so you can watch for a **retest**.
# Reading the signals (quick guide)
* **B80**: Extreme buyer pressure → watch for pullback buys or exhaustion shorts, depending on context.
* **B70**: Strong buyer pressure → mild continuation bias.
* **S80**: Extreme seller pressure → watch for rally sells or exhaustion longs.
* **S70**: Strong seller pressure → higher reversal probability noted in the table (informational).
# Configuration tips
* **Sensitivity**: Higher = more bars qualify (more signals).
* **Label distance**: Scales with ATR so labels don’t overlap candles.
* **Colors/opacity**: Separate for 70% vs 80% and buyer vs seller.
* **Alerts**: Enable to catch signals live without staring at the screen.
# Notes & limits
* Uses **estimation** (not true bid/ask) on most symbols; treat as a **context tool**, not a stand-alone system.
* The optional stats table’s “expected outcomes” are **informational**, not live probabilities.
* Works on any timeframe; results improve when combined with structure and risk controls.
IQ_Trader's Technical Scoring System With SignalsThe IQ Trader's Technical Scoring System is a sophisticated trading indicator designed to assist traders in identifying potential BUY and SELL opportunities using a dynamic scoring mechanism.
By combining traditional technical indicators (SMA, MACD) with a custom Adaptive Gaussian Moving Average (AGMA) and Bayesian trend probability analysis, this indicator provides a comprehensive view of market conditions. It generates multiple signal types to support various trading strategies, including main BUY/SELL signals, additional BUYS/SELLS signals, and STOP/STRONG STOP signals for risk management.
Key Features
Dynamic Scoring System:
The indicator calculates separate Buy and Sell scores based on multiple conditions, including:
Price position relative to daily SMA50 and SMA200.
Price position relative to the Adaptive Gaussian Moving Average (AGMA).
Bayesian trend analysis incorporating RSI, MACD, EMA, ATR, and volume zones.
MACD position and crossover/crossunder events.
Scores are displayed in a table, showing the contribution of each component (e.g., "Price > SMA50: 20") for transparency.
Signal Types:
Main BUY/SELL Signals:
Triggered when the Buy/Sell score falls within user-defined dynamic thresholds (adjustable for above/below SMA50 conditions).
Controlled by an inTrade state to prevent overlapping signals (BUY only when not in a trade, SELL only when in a trade).
Disabled by default; enable via settings ("Enable Main BUY Signals" and "Enable Main SELL Signals").
Additional BUYS/SELLS Signals:
Generated when the Buy score exceeds the Sell score (BUYS) or vice versa (SELLS).
Sequentially alternates (BUYS → SELLS → BUYS) to avoid repetitive signals, using an inBuysState mechanism.
Always enabled for quick trend insights.
STOP/STRONG STOP Signals:
STOP: Triggered when the price is above SMA50 and MACD crosses below the signal line in a lower timeframe.
STRONG STOP: Triggered when the price is above SMA50, MACD is below the signal line, and the price is below AGMA in a lower timeframe.
Disabled by default; enable via settings ("Enable STOP Signals" and "Enable STRONG STOP Signals").
Useful for risk management and exiting positions.
Visual and Customization Options:
Plots: Displays daily SMA50, SMA200, AGMA, MACD, and MACD Signal lines, all toggleable via settings.
Score Table: Shows real-time Buy and Sell score components at the top center of the chart.
Signal Markers:
Main BUY: Green label ("BUY") below the bar.
Main SELL: Red label ("SELL") above the bar.
BUYS: Lime triangle up ("BUYS") below the bar.
SELLS: Fuchsia triangle down ("SELLS") above the bar.
STOP: Orange triangle down ("STOP") above the bar.
STRONG STOP: Red triangle down ("STRONG") above the bar.
Settings: Highly customizable thresholds, enable/disable conditions, and plot visibility.
Alert Support:
Configurable alerts for all signal types (Dynamic BUY, Dynamic SELL, BUYS, SELLS, STOP, STRONG STOP).
Alerts are gated by enable settings for main BUY/SELL and STOP/STRONG STOP signals to prevent unwanted notifications.
How to Use
Add the Indicator:
Apply the indicator to your chart via TradingView’s Pine Editor or Indicator Library.
By default, only the additional BUYS/SELLS signals are active, along with SMA50/200, AGMA, and MACD plots.
Customize Settings:
Thresholds: Adjust buyThresholdLow, buyThresholdHigh, etc., to fine-tune the sensitivity of main BUY/SELL signals.
Enable Signals: Check "Enable Main BUY Signals", "Enable Main SELL Signals", "Enable STOP Signals", or "Enable STRONG STOP Signals" to activate these signals.
Toggle Plots: Use "Show Daily SMA50/200", "Show AGMA", and "Show MACD and Signal Line" to control chart visuals.
Score Conditions: Enable/disable individual score components (e.g., "Price Above Daily SMA50") to focus on specific indicators.
Interpret Signals:
Main BUY/SELL: Use for primary entry (BUY) and exit (SELL) decisions, ideal for swing or trend-following strategies.
BUYS/SELLS: Monitor for early trend changes or confirmation of momentum, suitable for shorter-term trades.
STOP/STRONG STOP: Consider as warnings to tighten stops or exit positions, especially in volatile markets.
Check the score table to understand which conditions are driving the signals.
Set Alerts:
Create alerts for desired signals (e.g., "Dynamic BUY Signal") via TradingView’s alert menu.
Ensure the corresponding signal is enabled in settings to receive alerts.
Notes for Traders
Timeframe Flexibility: The indicator adapts to different timeframes, with lower timeframe MACD and AGMA calculations for STOP signals. Test on your preferred timeframe (e.g., 1H, 4H, 1D).
Risk Management: Always combine signals with proper risk management, such as stop-loss orders, as STOP/STRONG STOP signals are not guaranteed exit points.
Backtesting: Before trading, backtest the indicator on historical data to evaluate performance with your strategy.
Customization: Adjust score weights (e.g., scoreSMA50AbovePrice) or Bayesian conditions to align with specific assets or market conditions.
Why This Indicator?
The IQ Trader's Technical Scoring System SS stands out for its blend of traditional and advanced analytics. The Bayesian trend analysis adds a probabilistic layer to decision-making, while the dynamic scoring system ensures signals are context-aware (above/below SMA50). Whether you're a swing trader, day trader, or risk-conscious investor, this indicator offers actionable insights with customizable controls.
Feedback Welcome: Share your experience or suggestions in the comments to help improve this tool for the TradingView community!
TradingIQ - OrderFlow IQIntroducing “OrderFlow IQ”
OrderFlow IQ is an all-in-one order-flow and volume-profiling suite crafted to bring true market microstructure to your TradingView charts. It bundles footprints, per-bar and intra-bar delta analytics, class-based delta tracking, adaptive volume profiles, bubble-style trade tapes, live time-and-sales feeds, cumulative-volume fight meters, iceberg detection, and more—all driven by a single, user-friendly interface.
Features
The list below details an ever=expanding list of the indicators capabilities; more to come in the future!
Tick-based Footprints
Imbalance and stacked imbalance detection
Tick-based chronicled volume profile
Delta classification (small order, medium order, and block order delta)
Tick-based order flow bubble tape
Live order feed with total buying volume against total selling volume
Tick-based CVD
Iceberg order detection
Delta class lines
Tick-based bar statistics
Key Components and Their Functions
Data Granularity
• 1-Tick / 1-Second / 1-Minute modes let you choose the resolution of every calculation. On true tick charts you get genuine tick-by-tick precision; on second charts you see every intra-second print; on anything else it falls back to minute bars.
Footprint Engine
Bid vs Ask Volume Columns – Each candle is sliced into tick-level price rows showing buy-volume, sell-volume, total volume, delta and delta%.
CVD-Level Columns – Optionally color each row by net cumulative delta instead of raw volume to spotlight buying or selling pressure trends.
Imbalance Detection – Highlight rows where one side exceeds your % threshold, with “stacked” imbalances calling out multi-row alignment ahead of potential breaks.
Value Area & POC – Automatically compute and draw the 70% value area (VAH/VAL) and mark the Point of Control per session or any chosen timeframe.
Footprint
The image above shows the volume profiling data calculated for each row across the footprint engine.
Delta: Shows the net difference between buying and selling
Delta Percentage: Calculates delta as a percentage of total volume
Total Volume: The total volume at the price block
Buy Volume: The total buying volume at the price block
Sell Volume: The total selling volume at the price block
Additionally, you can select to only show buying volume and selling volume at each price block, as shown in the image above.
POC
The image above shows the visuals used to mark the POC of the footprint. The POC is marked yellow by default; the color can be changed in the settings.
Value Area
The image above shows the visuals used to mark the value area of the footprint.
Imbalance Detection
The image above shows the Footprint Engine detecting and marking buying/selling imbalances.
Stacked Imbalances
The image above shows the Footprint Engine detecting and marking stacked imbalances. Stacked imbalances are shown as consecutive, small blocks to the right of the footprint.
CVD Levels
The image above shows the footprint engine calculating CVD across the footprint, rather than net delta that resets bar by bar. Traders can enable the "Use CVD Levels" setting to have net delta persist across price bars, allowing traders to see the net CVD across various price blocks as the footprint develops.
Delta Class Statistics
With the inclusion of tick volume, The Delta Class Statistics component of the indicator classifies volume delta by order size to give traders detailed insights into whether small players are buying/selling and whether big players are buying/selling.
The image above shows a full view of the Delta Class Statistics feature.
The image above further explains the Delta Class Statistics view.
Orders are distributed (classified) across various order size amounts. From here, a rolling CVD is calculated across each order size. This feature gives traders detailed insights into whether big money is buying/selling (big player sentiment) and whether small money is buying/selling (small player sentiment).
Analysis
The image above shows a net-negative CVD for the session for both small orders (small money) and big orders (big money), while "medium" sized orders are currently at a net-positive CVD.
Consequently, sentiment for big players is bearish.
Additionally, small triangles are printed alongside each Delta Class box for each bar. You can hover over these labels with your cursor to see the net delta for the bar for each order size.
Bar Delta Statistics
With the inclusion of tick data, OrderFlow IQ is designed to generate detailed tick-based bar statistics for each candlestick.
The image above shows the feature in action.
Metrics
Volume: Total volume for the bar
Bar VWAP: The individual bar's VWAP
Delta: Net delta for the bar
Delta %: Delta % of the bar
Max Delta: The maximum positive delta achieved during the bar
Min Delta: The lowest negative delta achieved during the bar
CVD: Cumulative volume delta measurement by the bar
Buy Volume: Total buying volume for the bar
Sell Volume: Total selling volume for the bar
Iceberg Detection (Tick-Data Only)
An Iceberg Order is a type of large trading order that is broken up into much smaller visible portions. Only a small part of the order is displayed in the public order book at any given time, while the rest is hidden (like an iceberg where only the tip is above water).
Why are Iceberg Orders Important?
Minimizing Market Impact
If a trader were to post a 10,000-share sell order openly, the market would immediately react:
Buyers might panic, thinking there's a rush to sell.
Sellers could undercut the price aggressively.
This would likely drive the price down before the large order even finishes executing.
By revealing only a small portion at a time, Iceberg orders help avoid spooking the market and allow the trader to sell closer to the original price.
Hiding Trading Intentions
Markets are highly sensitive to order flow — the balance of buying and selling pressure.
If competitors, market makers, or algorithmic traders see a massive order, they might:
Front-run it (selling before it completes to profit from the expected price drop).
Reassess their own models about supply/demand imbalances.
Iceberg orders protect against this by masking true supply or demand.
Our Iceberg Detection Model
Using a proprietary iceberg order detection algorithm, OrderFlow IQ is capable of detecting/alerting iceberg orders when they occur.
The image above shows the Iceberg Detector in action.
When an iceberg order is identified, the size of the order in the quote currency, price of execution, and number of executions will be displayed.
It's important to set alerts for this feature, as iceberg orders aren't frequent and are easy to miss when away from the chart.
IQ Volume Profile (Chronicled Volume Profile)
OrderFlow IQ generates a Chronicled Volume Profile to give traders detailed insights into net delta by price level, but also historical net delta by price level.
The image above shows the feature in action. While the chronicled volume profile is seemingly a normal volume profile, the narrow-lines across the chronicle profile show historical min/max delta at each price level.
The image above exemplifies the feature.
The wide price blocks show the current net delta at each price area, while the small lines (with a circle at the end) show historical min/max delta at the price level.
This tool allows traders to see if buying/selling always dominated a price level, or if control of the price level changed hands between buyers/sellers throughout development of the profile.
Additionally, traders can hover over the small circles on the profile with their cursor to see the detailed delta statistics at each price area. The statistics will show the minimum delta at the price area, maximum delta, and the live change in delta.
Order Feed
OrderFlow IQ is capable of generating a live order feed with various metrics to assist real time orderflow traders in their analysis.
The image above exemplifies the feature.
Bid/Ask: The bid price and ask price of the current bar
Buys | Price: The size of a buy order and price of execution
Sells | Price: The size of a sell order and price of execution
▴ Vol: Cumulative buying volume (in quote currency) for the feed
▾ Vol: Cumulative selling volume (in quote currency) for the feed
Speed of tape: The average speed between each order fill
OrderFlow Bubble Tape
OrderFlow IQ also displays a traditional orderflow indicator, also known as OrderFlow Bubble Tape.
The image above shows the feature in action.
Orderflow Bubble Tape is a visual tool that shows recent market trades ("tape") as bubbles, where each bubble represents a trade.
The size of each bubble indicates the trade size (volume), and the color shows whether the trade was a buy (aggressive at the ask) or sell (aggressive at the bid).
Instead of showing trades as plain text (like a traditional tape), the bubble format makes it easier to spot bursts of aggressive buying or selling visually.
Clusters of large, fast bubbles in one color suggest momentum or imbalances in order flow, often signaling short-term price pressure.
Traders use Bubble Tape to quickly read supply/demand dynamics, identify hidden buyers/sellers (like iceberg orders), and anticipate short-term price moves.
Blue Bubble = Buy
Red Bubble = Sell
The larger the bubble, the larger the order. Traders can hover over each bubble with their cursor to see the exact size of the order.
Delta Class Lines
OrderFlow IQ shows Live Delta Class Lines grouped by order size buckets:
The blue line shows delta coming only from very large orders (100K–10B in size).
The red line shows delta coming from medium-large orders (50K–100K size).
The green line shows delta from small to medium orders (0–50K size).
Each line is the cumulative net delta for its class — meaning it is adding the buy and sell imbalances only from trades of that size class, live as trades occur.
For example, when a 30K-sized aggressive buy hits, it adds to the green line; if a 70K-sized sell hits, it subtracts from the red line.
The number next to each label is the current net delta value for that class, telling you whether buyers or sellers are dominating at that order size.
• Three Custom Dollar Brackets – Define “small,” “mid,” and “block” trade-size ranges (e.g., 0–50 K, 50 K–100 K, > 100 K).
• Live Streaming Lines – While a bar is forming, watch real-time totals for each bracket plotted as vertical columns or stair-step lines on the chart edge.
CVD
OrderFlow IQ also displays CVD as either candles or a line.
The image above shows the candles visualization for CVD. CVD can be calculated using tick data, 1-second bars, or 1-minute bars. The higher the granularity the more accurate the measurement.
More Features To Come
New features and calculations will be added to OrderFlow IQ based on community feedback, so feel free to share any requests you might have!
Summary
OrderFlow IQ brings a full suite of order-flow analytics into one Pine Script: footprints, delta analytics, dollar-bracket classes, adaptive profiles, bubble tapes, live feeds, CVD meters, and iceberg scans. Its unified Data Granularity switch and Preset System let you toggle entire dashboards with a click—scalpers, intraday traders, and long-term analysts alike can dial in the exact microstructure view they need without switching scripts. Publish once, share your preset layouts, and your TradingView community gains plug-and-play access to professional-grade order-flow tools—no extra installations or feeds required.
MCumulativeDelta* MCumulativeDelta Indicator *
The MCumulativeDelta Indicator shows the Buying / Selling pressure that is happening in the market. The Delta is powered by the *MBox Precision Delta* Algorithm. This indicator serves to show overall Accumulation and Distribution of the BUYERS and the SELLERS. It becomes possible to gauge if the market is overall Bullish or Bearish. This helps determine trade direction and keeping out of other trades that are counter to what the overall Buying / Selling is showing.
* WHAT THE SCRIPT DOES *
The script draws a histogram that can either be positive or negative. When the histogram is positive it means there are more Buyers in the Market. When the histogram is negative it means there are more sellers in the market. The more positive the histogram gets, the more BUYERS are flooding the market. The more negative the histogram gets, the more SELLERS are flooding the market. When the histogram switches over from negative to positive it is a Bullish sign of Buying. When the histogram switches over from positive to negative, it is a Bearish sign of Selling.
* HOW TO USE IT *
As the histogram becomes more negative, this shows that the SELLERS have taken control of the markets. Conversely, as the histogram becomes more positive, this shows that the Buyers have taken control of the markets. The side that is in control is the direction to generally place trades in, and at the same time filter out trades of the opposite direction.
* HOW IT WORKS *
The MCumulativeDelta histogram on the chart represents overall Buying / Selling. This is the DELTA (difference) between the BUYING and the SELLING. Taking the total BUYING and subtracting the total of SELLING, we produce the DELTA (difference) between the Buying / Selling and this is what is drawn by the histogram.
Unlike other Cumulative Delta indicators which determine delta from the Up / Down wick and just multiply by volume (not a true delta), the MCumulativeDelta indicator uses a sophisticated algorithm that analyzes price movement corresponding to volume movement.
The way the DELTA, BUYING, and SELLING is calculated is computed by the *MBox Precision Delta* Algorithm. The algorithm considers the following data points when making it's computation
1. Price moving up on increasing volume
2. Price moving up on decreasing volume
3. Price moving horizontally on increasing volume
4. Price moving horizontally on decreasing volume
5. Price moving down on increasing volume
6. Price moving down on decreasing volume
Using these data points allows MCumulativeDelta to effectively compute and define the following scenarios
1. Accumulation / Distribution
2. Buying / Selling Exhaustion
3. Buying / Selling EFFORT / NO RESULT
Once the scenario is determined, it will greatly aid in trade decision making. These scenarios are explained in the examples below
* EXAMPLE AND USE CASES *
- Accumulation Example -
When you see a large amount of BUYING (large positive histogram) and price entering an up trend, this is indicative of Accumulation and you would be looking for PULLBACKS to get into the up trend move.
- Distribution Example -
When you see a large amount of SELLING (large negative histogram) and price entering a down trend, this is indicative of Distribution and you would be looking for pullbacks to get into the down trend move.
- Buying EXHAUSTION Divergence -
As price makes higher highs, but the MCumulativeDelta histogram drops (becomes less positive) on the higher highs, it means BUYERS are exhausted. Potentially a reversal or change in behavior in the markets.
- Selling EXHAUSTION Divergence -
As price makes lower lows, but the MCumulativeDelta histogram contracts (becomes less negative) on the lower lows, it means SELLERS are exhausted. Potentially a reversal or change in behavior in the markets.
- BUYING EFFORT / NO RESULT -
As the MCumulativeDelta histogram increases positively, but price fails to make higher highs, it is a sign of EFFORT / NO RESULT on behalf of the Buyers. In this case Buyers are pushing hard to move price up, but are unable to, due to being OVERBOUGHT. If this is accompanied by visible SELLING, it would be a good short entry.
- SELLING EFFORT / NO RESULT -
As the MCumulativeDelta histogram increases negatively, but price fails to make lower lows, it is a sign of EFFORT / NO RESULT on behalf of the Sellers. In this case Sellers are pushing hard to move price down, but are unable to, due to being OVERSOLD. If this is accompanied by visible BUYING, it would be a good long entry.
* SETTING ALERTS *
- FOR CROSSING FROM BUYING TO SELLING OR SELLING TO BUYING -
To be alerted when the histogram crosses over from Buying to Selling (Positive to Negative) or Selling to Buying (Negative to Positive)
1. Right Click Chart -> Add Alert...
2. Select Condition to be "MCumulativeDelta"
3. Select "Crossing" with Value = 0
4. Options set "Once Per Bar Close"
5. Customize Any other Alert Options you want
* AUTHOR *
This script is published by MBoxWave LLC
Stocks Multi-Indicator Alerts (cryptodaddy)//@version=6
// Multi-Indicator Alerts
// --------------------------------------------
// This script combines technical indicators and basic analyst data
// to produce composite buy and sell signals. Each block is heavily
// commented so future modifications are straightforward.
indicator("Multi-Indicator Alerts", overlay=true, max_labels_count=500)
//// === Daily momentum indicators ===
// Relative Strength Index measures price momentum.
rsiLength = input.int(14, "RSI Length")
rsi = ta.rsi(close, rsiLength)
// Money Flow Index incorporates volume to track capital movement.
// In Pine Script v6 the function only requires a price source and length;
// volume is taken from the built-in `volume` series automatically.
mfLength = input.int(14, "Money Flow Length")
mf = ta.mfi(hlc3, mfLength)
// `mfUp`/`mfDown` flag a turn in money flow over the last two bars.
mfUp = ta.rising(mf, 2)
mfDown = ta.falling(mf, 2)
//// === WaveTrend oscillator ===
// A simplified WaveTrend model produces "dots" indicating potential
// exhaustion points. Values beyond +/-53 are treated as oversold/overbought.
n1 = input.int(10, "WT Channel Length")
n2 = input.int(21, "WT Average Length")
ap = hlc3 // typical price
esa = ta.ema(ap, n1) // smoothed price
d = ta.ema(math.abs(ap - esa), n1) // smoothed deviation
ci = (ap - esa) / (0.015 * d) // channel index
tci = ta.ema(ci, n2) // trend channel index
wt1 = tci // main line
wt2 = ta.sma(wt1, 4) // signal line
greenDot = ta.crossover(wt1, wt2) and wt1 < -53
redDot = ta.crossunder(wt1, wt2) and wt1 > 53
plotshape(greenDot, title="Green Dot", style=shape.circle, color=color.green, location=location.belowbar, size=size.tiny)
plotshape(redDot, title="Red Dot", style=shape.circle, color=color.red, location=location.abovebar, size=size.tiny)
//// === Analyst fundamentals ===
// Fundamental values from TradingView's database. If a ticker lacks data
// these will return `na` and the related conditions simply evaluate false.
rating = request.financial(syminfo.tickerid, "rating", period="FY")
targetHigh = request.financial(syminfo.tickerid, "target_high_price", period="FY")
targetLow = request.financial(syminfo.tickerid, "target_low_price", period="FY")
upsidePct = (targetHigh - close) / close * 100
downsidePct = (close - targetLow) / close * 100
// `rating` comes back as a numeric value (1 strong sell -> 5 strong buy). Use
// thresholds instead of string comparisons so the script compiles even when
// the broker only supplies numeric ratings.
ratingBuy = rating >= 4 // buy or strong buy
ratingNeutralOrBuy = rating >= 3 // neutral or better
upsideCondition = upsidePct >= 2 * downsidePct // upside at least twice downside
downsideCondition = downsidePct >= upsidePct // downside greater or equal
//// === Daily moving-average context ===
// 50 EMA represents short-term trend; 200 EMA long-term bias.
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
longBias = close > ema200 // price above 200-day = long bias
momentumFavorable = close > ema50 // price above 50-day = positive momentum
//// === Weekly trend filter ===
// Higher timeframe confirmation to reduce noise.
weeklyClose = request.security(syminfo.tickerid, "W", close)
weeklyEMA20 = request.security(syminfo.tickerid, "W", ta.ema(close, 20))
weeklyRSI = request.security(syminfo.tickerid, "W", ta.rsi(close, rsiLength))
// Weekly Money Flow uses the same two-argument `ta.mfi()` inside `request.security`.
weeklyMF = request.security(syminfo.tickerid, "W", ta.mfi(hlc3, mfLength))
weeklyFilter = weeklyClose > weeklyEMA20
//// === Buy evaluation ===
// Each true condition contributes one point to `buyScore`.
c1_buy = rsi < 50 // RSI below midpoint
c2_buy = mfUp // Money Flow turning up
c3_buy = greenDot // WaveTrend oversold bounce
c4_buy = ratingBuy // Analyst rating Buy/Strong Buy
c5_buy = upsideCondition // Forecast upside twice downside
buyScore = (c1_buy?1:0) + (c2_buy?1:0) + (c3_buy?1:0) + (c4_buy?1:0) + (c5_buy?1:0)
// Require all five conditions plus trend filters and persistence for two bars.
buyCond = c1_buy and c2_buy and c3_buy and c4_buy and c5_buy and longBias and momentumFavorable and weeklyFilter and weeklyRSI > 50 and weeklyMF > 50
buySignal = buyCond and buyCond
//// === Sell evaluation ===
// Similar logic as buy side but inverted.
c1_sell = rsi > 70 // RSI above overbought threshold
c2_sell = mfDown // Money Flow turning down
c3_sell = redDot // WaveTrend overbought reversal
c4_sell = ratingNeutralOrBuy // Analysts neutral or still buy
c5_sell = downsideCondition // Downside at least equal to upside
sellScore = (c1_sell?1:0) + (c2_sell?1:0) + (c3_sell?1:0) + (c4_sell?1:0) + (c5_sell?1:0)
// For exits require weekly filters to fail or long bias lost.
sellCond = c1_sell and c2_sell and c3_sell and c4_sell and c5_sell and (not longBias or not weeklyFilter or weeklyRSI < 50)
sellSignal = sellCond and sellCond
// Plot composite scores for quick reference.
plot(buyScore, "Buy Score", color=color.green)
plot(sellScore, "Sell Score", color=color.red)
//// === Confidence table ===
// Shows which of the five buy/sell checks are currently met.
var table status = table.new(position.top_right, 5, 2, border_width=1)
if barstate.islast
table.cell(status, 0, 0, "RSI", bgcolor=c1_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 1, 0, "MF", bgcolor=c2_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 2, 0, "Dot", bgcolor=c3_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 3, 0, "Rating", bgcolor=c4_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 4, 0, "Target", bgcolor=c5_buy?color.new(color.green,0):color.new(color.red,0))
table.cell(status, 0, 1, "RSI>70", bgcolor=c1_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 1, 1, "MF down",bgcolor=c2_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 2, 1, "Red dot", bgcolor=c3_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 3, 1, "Rating", bgcolor=c4_sell?color.new(color.red,0):color.new(color.green,0))
table.cell(status, 4, 1, "Target", bgcolor=c5_sell?color.new(color.red,0):color.new(color.green,0))
//// === Alert text ===
// Include key metrics in alerts so the chart doesn't need to be opened.
buyMsg = "BUY: RSI " + str.tostring(rsi, "#.##") +
", MF " + str.tostring(mf, "#.##") +
", Upside " + str.tostring(upsidePct, "#.##") + "%" +
", Downside " + str.tostring(downsidePct, "#.##") + "%" +
", Rating " + str.tostring(rating, "#.##")
sellMsg = "SELL: RSI " + str.tostring(rsi, "#.##") +
", MF " + str.tostring(mf, "#.##") +
", Upside " + str.tostring(upsidePct, "#.##") + "%" +
", Downside " + str.tostring(downsidePct, "#.##") + "%" +
", Rating " + str.tostring(rating, "#.##")
// Alert conditions use static messages; dynamic data is sent via `alert()`
alertcondition(buySignal, title="Buy Signal", message="Buy conditions met")
alertcondition(sellSignal, title="Sell Signal", message="Sell conditions met")
if buySignal
alert(buyMsg, alert.freq_once_per_bar_close)
if sellSignal
alert(sellMsg, alert.freq_once_per_bar_close)
//// === Watch-out flags ===
// Gentle warnings when trends weaken but before full sell signals.
warnRSI = rsi > 65 and rsi <= 65
warnAnalyst = upsidePct < 2 * downsidePct and upsidePct > downsidePct
alertcondition(warnRSI, title="RSI Watch", message="RSI creeping above 65")
alertcondition(warnAnalyst, title="Analyst Watch", message="Analyst upside shrinking")
if warnRSI
alert("RSI creeping above 65: " + str.tostring(rsi, "#.##"), alert.freq_once_per_bar_close)
if warnAnalyst
alert("Analyst upside shrinking: up " + str.tostring(upsidePct, "#.##") + "% vs down " + str.tostring(downsidePct, "#.##") + "%", alert.freq_once_per_bar_close)
//// === Plot bias moving averages ===
plot(ema50, color=color.orange, title="EMA50")
plot(ema200, color=color.blue, title="EMA200")
//// === Cross alerts for context ===
goldenCross = ta.crossover(ema50, ema200)
deathCross = ta.crossunder(ema50, ema200)
alertcondition(goldenCross, title="Golden Cross", message="50 EMA crossed above 200 EMA")
alertcondition(deathCross, title="Death Cross", message="50 EMA crossed below 200 EMA")
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.
Cumulative Volume Delta (SB-1) 2.0
📈 Cumulative Volume Delta (CVD) — Stair-Step + Threshold Alerts
🔍 Overview
This Cumulative Volume Delta (CVD) tool visualizes aggressive buying and selling pressure in the market by plotting candlestick-style bars based on volume delta. It helps traders understand which side — buyers or sellers — is exerting more control on lower timeframes and highlights momentum shifts through stair-step patterns and delta threshold breaks. Resets to zero at EOD
Ideal for futures traders, scalpers, and intraday strategists looking for orderflow-based confirmation.
🧠 What Is CVD?
CVD (Cumulative Volume Delta) measures the difference between market buys and sells over a specific timeframe. When the delta is rising, it suggests buyers are being more aggressive. Falling delta suggests seller dominance.
This script aggregates volume delta from a lower timeframe and plots it in a higher timeframe context, allowing you to track microstructure shifts within larger candles.
📊 Features
✅ CVD Candlesticks
Each bar represents volume delta as an OHLC-style candle using:
Open: Delta at the start of the bar
High/Low: Peak delta range
Close: Final delta value at bar close
Teal candles = Net buying pressure
Red candles = Net selling pressure
✅ Threshold Levels (Key Visual Zones)
The script includes horizontal dashed lines at:
+5,000 and +10,000 → Signify strong buying pressure
-5,000 and -10,000 → Signify strong selling pressure
0 line → Neutrality line (no net pressure)
These levels act as volume-based support/resistance zones and breakout confirmation tools. For example:
A CVD cross above +5,000 shows buyers taking control
A CVD cross above +10,000 implies strong bullish momentum
A CVD cross below -5,000 or -10,000 signals intense selling pressure
📈 Stair-Step Pattern Detection
Detects two specific volume-based continuation setups:
Bullish Stair-Step: Both the high and low of the CVD candle are higher than the previous candle
Bearish Stair-Step: Both the high and low of the CVD candle are lower than the previous candle
These patterns often appear during trending moves and serve as confirmation of strength or continuation.
Visual markers:
🟢 Green triangles below bars = Bullish stair-step
🔴 Red triangles above bars = Bearish stair-step
🔔 Alert Conditions
Get real-time alerts when:
Bullish Stair-Step is detected
Bearish Stair-Step is detected
CVD crosses above +5,000
CVD crosses below -5,000
📢 Alerts only trigger on crossover, not every time CVD remains above or below. This avoids repetitive notifications.
⚙️ Inputs & Customization
Anchor Timeframe: The higher timeframe to which CVD data is applied (default: 1D)
Lower Timeframe: The timeframe used to calculate the CVD delta (default: 5 minutes)
Optional Override: Use custom timeframe toggle to force your own micro timeframe
📌 How to Use This CVD Indicator (Step-by-Step Guide)
✅ 1. Confirm Bias Using the Zero Line
The zero line (0 CVD) represents neutral pressure — neither buyers nor sellers are dominating.
Use it as your first filter:
🔼 If CVD is above 0 and rising → Buyer control
🔽 If CVD is below 0 and falling → Seller control
🧠 Tip: CVD rising while price is consolidating may signal hidden buyer interest.
✅ 2. Watch for Crosses of Key Levels: +5,000 and +10,000
These levels act as momentum thresholds:
Level Signal Type What It Means
+5,000 Buyer breakout Buyers are starting to dominate
+10,000 Strong bull bias Strong institutional or algorithmic buying flow
-5,000 Seller breakout Sellers are taking control
-10,000 Strong bear bias Heavy selling pressure is entering the market
Wait for CVD to cross above +5K or below -5K to confirm the active side.
Use these crossovers as entry triggers, breakout confirmations, or trade filters.
🔔 Alerts fire only when the level is first crossed, not every bar above/below.
✅ 3. Use Stair-Step Patterns for Continuation Confirmation
The indicator shows stair-step patterns using triangle signals:
🟢 Green triangle below bar = Bullish stair-step
Suggests a higher high and higher low in delta → buyers stepping up
🔴 Red triangle above bar = Bearish stair-step
Suggests lower highs and lower lows in delta → selling pressure building
Use stair-step signals:
To confirm a continuation of trend
As an entry or add-on signal
Especially after a threshold breakout
🧠 Example: If CVD breaks above +5K and forms bullish stairs → confirms strong trend, ideal for momentum entries.
✅ 4. Combine with Price Action or Structure
CVD works best when used with price, not in isolation. For example:
📉 Price makes a new low but CVD doesn’t → potential bullish divergence
📈 CVD surges while price lags → buyers are absorbing, breakout likely
Use it with:
VWAP
Orderblocks
Liquidity sweeps
Break of market structure/MSS/BOS
✅ 5.
Set Anchor Timeframe = Daily
Set Lower Timeframe = 5 minutes (default)
This lets you:
See intraday flow inside daily bars
Confirm whether a daily candle is being built on net buying or selling
🧠 You’re essentially seeing intra-bar aggression within a bigger time structure.
🧭 Example Trading Setup
Bullish Scenario:
CVD is rising and above 0
CVD crosses above +5,000 → alert fires
Green stair-step appears
Price breaks local resistance or liquidity sweep completes
✅ Consider long entry with structure and CVD alignment
🎯 Place stops below last stair-step or structural low
📌 Final Notes
This tool does not repaint and is designed to work in real-time across all futures, crypto, and equity instruments that support volume data. If your symbol does not provide volume, the script will notify you.
Use it in confluence with VWAP, liquidity zones, or structure breaks for high-confidence trades.
VP + Game Theory Integrated Strategy9s için DüşünceVP + Game Theory Integrated Strategy Indicator: Explanation and Working Logic
Hello! You can upload the provided Pine Script code to TradingView. This is compatible with Pine Script Editor (v6 version) – simply copy-paste it directly. The indicator's name is "VP + Game Theory Integrated Strategy," and since overlay=true, it will display on top of the price chart (over the candlesticks). Maximum boxes, lines, and labels are set to 500, so it handles dense charts without performance issues.
Below, I'll provide a detailed explanation of the indicator, its working logic, main components, and usage tips step by step. This indicator integrates Volume Profile (VP), Game Theory, and Wick (Candle Wick) Patterns to generate buy/sell signals. It aims to detect high-probability reversal points by analyzing market liquidity, herd behavior, and institutional movements. It's suitable for crypto, forex, or stock markets, but always backtest before using in live trading.
1. General Description
Purpose: This indicator combines volume-based analysis (Volume Profile), game theory elements (herd behavior, Nash equilibrium, contrarian strategies), and candle wick patterns. It identifies strong resistance/support levels (POC, VAH/VAL, liquidity zones) and generates "Power" signals based on them. Signals are shown with labels, lines, and alerts for buy (green) or sell (red).
Key Features:
Volume Profile (VP): Calculates high-volume areas (POC: Point of Control, the highest volume level; VAH/VAL: Value Area High/Low) and displays them on the chart.
Game Theory (GT): Models the market as "players" (retail herd, institutions). Detects herd buying/selling panics and generates contrarian signals.
Wick-Based Signals: Captures reversals with large wicks. Applies strict criteria for "Power" and "Ultra Power" levels.
Market Maker (MM) Elements: Monitors liquidity traps and institutional volume spikes.
Visualization: Nash bands, liquidity boxes, info table (top-right), background colors, and alerts.
Signal Types: Normal, Power, Ultra Power, GT-confirmed. Signals are limited (max 1-5 per zone) with a minimum wait time (40 bars).
Input Parameters: Grouped into 3 sections (GT, Wick, VP, MM). Default values are balanced, but customizable (e.g., strictMode=true makes it more selective).
Warning: This is an indicator, not a full strategy. It includes alerts, but add stop-loss/take-profit for risk management. Use TradingView's Strategy Tester for backtesting.
2. Working Logic (Step by Step)
The indicator processes each bar (candle) as follows:
a. Basic Calculations
ATR (Average True Range): Measures volatility (20 periods). Candle size (high-low) must be at least ATR x 2.5 for signals to be valid.
Candle Components: Calculates candle body (close-open), upper/lower wick.
Volume Analysis: Average volume (SMA 20), detects spikes (based on threshold).
Trend Filter: EMAs (20/50/200) determine up/downtrend. In strict mode, it's stricter (strong uptrend: EMA20 > EMA50 > EMA200 and close > EMA20).
b. Game Theory (GT) Component
Herd Behavior: RSI (14) overbought/oversold (70/30) + volume spike + momentum detects it. Herd buying: Overbuying frenzy (red background). Herd selling: Selling panic (green background).
Institutional Flow: Volume > average x 2.5 + Accumulation/Distribution (AD) indicator. Accumulation: Institutions buying (strengthens buy signals). Distribution: Selling (strengthens sell).
Liquidity Traps: In the last 50 bars, if a new high/low is broken but close pulls back + volume spike = Trap (up/down).
Smart Money: Intra-candle movement (close-open)/(high-low) x volume. Positive = Smart money inflow.
Nash Equilibrium: Price mean (SMA 100) ± deviation (stdev x 0.02). In equilibrium: Normal. Above: Sell potential. Below: Buy. Bands are optionally shown.
GT Signals:
Contrarian: Herd selling + accumulation = Buy.
Momentum: Below Nash + positive smart money = Buy (opposite for sell).
Nash Reversion: Below Nash + rising close + volume = Buy.
Power Signal: At least 3 GT signals (min_signals_for_power=3) + volume confirmation = Power GT buy/sell. Can show only GT-confirmed signals (show_gt_only_signals=true).
c. Volume Profile (VP) Component
Calculation: For the last 100 bars (vpPeriod), divides the price range (high-low) into vpRows (24) rows. Distributes volume across rows.
POC (Point of Control): Highest volume level (orange line). Threshold 80% (pocThreshold).
Value Area (VA): 70% of total volume (valueAreaPercent). VAH (upper bound, blue dotted), VAL (lower bound).
High-Volume Area: Price near POC or volume > POC x 80% = Strong zone.
Visualization: Histogram boxes on the right (blue/orange). POC/VAH/VAL lines and labels.
d. Wick (Candle Wick) and Power Signals
Main Wick Criteria: Large candle (ATR x 2.5), small body (<8%), wick 8x body length (anaFitilCarpan) and 80% of candle (anaFitilYuzde). High volume + trend filter (downtrend for upper wick).
Signal Wick: More flexible for triggers (5x length, 70%).
Power/Ultra Power:
Power Sell: Main upper wick + near POC/VAH + MM volume (2.5x) + GT contrarian/momentum.
Power Buy: Similar for lower wick.
Super Wick: Power + institutional volume + strong momentum.
Ultra Power: Super + GT power (3/3) + distribution/accumulation + Nash deviation + liquidity trap. Rarest and strongest (fuchsia/lime color).
Signal Management: Detected wick level (high/low) is saved. Wait min 40 bars, max 1-5 signals per zone. When trigger candle arrives (price reaches level + long wick + close in opposite direction) = BUY/SELL plotshape.
e. Market Maker (MM) and Liquidity
MM Volume: Average x 2.5 + wick bonus (1.3x).
Liquidity Zones: Saves last 20 high-volume highs/lows. Shown as boxes on chart (red/green, lasting 200 bars).
Traps: Integrated with GT, strengthens power signals.
f. Visualization and Alerts
Background: Ultra Power (fuchsia/lime), Power GT (red/green), Herd (red/green).
Lines: Active resistance/support (dashed, colored).
Table (Top-Right): Resistance/support levels, remaining signals, POC/VAH/VAL, GT status (herd, institutional, Nash, signal strength), volume/liquidity.
Alerts: For Ultra Power, GT Power, Super Wick, normal signals. Messages include level/price.
g. Filters and Options
Strict Mode: Stricter (higher volume 1.5x, strong trend, RSI filter).
Require Volume Confirmation: Mandatory volume check.
Only Show Power Signals: Display only power/ultra.
Require Ultra Power: Strictest, only ultra.
3. Usage Tips
Chart Timeframe: H1-D1 for medium-long term. Shorter frames (M1-M5) may produce too many signals.
Settings:
StrictMode=true: Fewer but higher-quality signals.
Use_game_theory=false: Use only VP + Wicks.
ShowVP=false: Hide histogram to reduce clutter.
Strategy Integration: Filter BUY/SELL with EMAs. Stop-loss: ATR x 1-2, Take-profit: POC/VAH levels.
Backtesting: Convert to strategy in TradingView (use alertconditions). Test on historical data.
Risk: Designed for market manipulation (MM traps), but no indicator is 100% accurate. Apply capital management.
Troubleshooting: If errors (e.g., vpInitialized=false), increase period or refresh chart.
This indicator is complex but powerful – blending VP for volume zones with GT for psychology. If you have questions or need setting changes, let me know!
