BIN Based Support and Resistance [SS]This indicator presents a version of an alternative way to determine support and resistance, using a method called "Bins".
Bins provide for a flexible and interesting way to determine support and resistance levels.
First off, let's discuss BINS:
Bins are ranges or containers into which your data points can be sorted. For example, if you're grouping ages, you might have bins like 0–18, 19–35, 36–50, and 51+. Any data point within these intervals gets placed in the corresponding bin.
Binning simplifies complex data sets by grouping values into categories. This is useful for such things as
Visualizing data in histograms or bar charts.
Reducing noise and highlighting trends.
This indicator groups the price action into 10 separate bins. It determines the Support / Resistance level by averaging the values in the Bins to find an iteration of the "central tendency" or average reoccurring value.
Pros and Cons
Since this is a different approach to support and resistance, I think its important to highlight some of the pros and advantages, but also be open about the cons.
First off the PROS
Bin Based Support and Resistance Levels dynamically adjust to ranges as opposed to hard / fast peaks and valleys. This makes them better at analyzing price action vs simply drawing lines at random peaks and valleys.
Because Bins are analyzing ALL PA within a period's max and min range, Bin Support and Resistance can actually be used similar to Volume profile, where you are able to identify a pseudo-POC, or areas where price tends to consolidate. Take a look at this example on SPY:
You can see these 2 SR lines are close together. This represents that this general price range is an area where price likes to accumulate/consolidate. You can see the SPY ended up coming back to this range and consolidating there for a bit.
This is a strength of using a BIN based approach to calculating support and resistance, because as indicated before, it looks at price action vs peaks and valleys.
As a tip, these areas are areas you want to wait for a break in one direction or the other.
The indicator provides for backtest results of the support and resistance lines, to see how many times certain areas acted as resistance or support. Because this is analyzing and distributing PA evenly throughout the period's max and min, the indicator can tell you which areas tend to have higher rejection zones and which have higher support zones.
Now the CONS
Because bin based SR take an average approach, the SR lines can sometimes be slightly broken before the ticker finds rejection:
To combat this, make sure there is confirmed support. How the indicator actually backtests these lines is by waiting to see if the ticker has 3 consecutive closes above the support line or below the resistance line. So these are things to be mindful of.
It doesn't consider pivots. Most support and resistance indicators either identify max and min peaks and valleys or use pivot points. Pivot points are a great way to identify peaks and valleys and thus by extension support and resistance. However, this is also somewhat of a strength, as using BINS forces the indicator to consider ALL price action and not just the extremes (highs and lows).
Can be slightly skewed in highly volatile environments. Any time there is a massive drop or rally, it can skew the indicator to give extreme ranges to both ends. For example, the Tariff news collapse on ES1!:
Owning to limitations in lookback length, sometimes the min and max range can be exceeded and other traditional areas of support / resistance is where a ticker will find support.
Using the indicator
Here are some basic use/functionalities of the indicator:
Selecting display of backtest results: You can select to have the backtest results shown in a table:
Or directly on the lines:
Inversely, you can toggle them off completely:
You can modify the lookback length. The suggested lookback length is between 250 to 500 candles on smaller timeframes. I also suggest 252 on daily timeframes (which represents 1 trading year).
And that's the indicator!
It is very easy to use, so you should pick it up in no time!
Enjoy and as always, 🚀🚀 safe trades! 🚀🚀
Komut dosyalarını "poc" için ara
Session Profile AnalyzerWhat’s This Thing Do?
Hey there, trader! Meet the Session Profile Analyzer (SPA) your new go-to pal for breaking down market action within your favorite trading sessions. It’s an overlay indicator that mixes Rotation Factor (RF), Average Subperiod Range (ASPR), Volume Value Area Range (VOLVAR), and TPO Value Area Range (TPOVAR) into one tidy little toolkit. Think of it as your market vibe checker momentum, volatility, and key levels, all served up with a grin.
The Cool Stuff It Does:
Rotation Factor (RF) : Keeps tabs on whether the market’s feeling bullish, bearish, or just chilling. It’s like a mood ring for price action shows “UP ↑,” “DOWN ↓,” or “NONE ↔.”
ASPR : Averages out the range of your chosen blocks. Big swings? Tiny wiggles? This tells you the session’s energy level.
VOLVAR : Dives into volume to find where the action’s at, with a smart twist it adjusts price levels based on the session’s size and tiny timeframe moves (capped at 128 so your chart doesn’t cry).
TPOVAR : Grabs lower timeframe data to spot where price hung out the most, TPO-style. Value zones, anyone?
Dynamic Precision : No ugly decimal overload SPA matches your asset’s style (2 decimals for BTC, 5 for TRX, you get it).
How to Play With It:
Session Start/End : Pick your trading window (say, 0930-2200) and a timezone (America/New_York, or wherever you’re at).
Block Size : Set the chunk size for RF and ASPR like 30M if you’re into half-hour vibes.
Value Area Timeframe : Go micro with something like 1S for VOLVAR and TPOVAR precision.
Label : Size it (small to huge), color it (white, neon pink, whatever), and slap it where you want (start, mid, end).
How It All Works (No PhD Required):
RF : Imagine breaking your session into blocks (via Block Size). For each block, SPA checks if the high beats the last high (+1) or not (0), and if the low dips below the last low (-1) or not (0). Add those up, and boom positive RF means upward vibes, negative means downward, near zero is “meh.” Use it to catch trends or spot when the market’s napping.
ASPR : Takes those same blocks, measures high-to-low range each time, and averages them. It’s your volatility pulse big ASPR = wild ride, small ASPR = snooze fest. Great for sizing up session action.
VOLVAR : Here’s the fun part. It takes the session’s full range (high minus low), divides it by the average range of your tiny Value Area Timeframe bars (e.g., 1S), and picks a sensible number of price levels capped at 128 so it doesn’t overthink. Then it bins volume into those levels, finds the busiest price (POC), and grows a 70% value area around it. Perfect for spotting where the big players parked their cash.
TPOVAR : Grabs midpoints from those tiny timeframe bars, sorts them, and snips off the top and bottom 15% to find the 70% “value zone” where price chilled the most. Think of it as the market’s comfort zone great for support/resistance hunting.
Why You’ll Like It:
Whether you’re scalping crypto, swinging forex, or dissecting stocks, SPA’s got your back. Use RF to catch momentum shifts like jumping on an “UP ↑” trend or fading a “DOWN ↓” exhaustion. ASPR’s your secret weapon for sizing up trades: a big ASPR (say, 100 on BTC) means you can aim for juicy targets (like 1-2x ASPR) or set invalidations tight when it’s tiny (e.g., 0.001 on TRX) to dodge chop. VOLVAR and TPOVAR are your level-finders nail those key zones where price loves to bounce or break, perfect for entries, stops, or profit grabs. It’s like having a trading co-pilot who’s chill but knows their stuff.
Heads-Up:
Load enough history for those micro timeframes to shine (1S needs some bars to work with).
Keeps things light won’t bog down your chart even with decent-sized sessions.
Let’s Roll:
Slap SPA on your chart, tweak it to your style, and watch it spill the beans on your session. Happy trading, fam may your pips be plenty and your losses few!
Liquidity Sweep Filter Strategy [AlgoAlpha X PineIndicators]This strategy is based on the Liquidity Sweep Filter developed by AlgoAlpha. Full credit for the concept and original indicator goes to AlgoAlpha.
The Liquidity Sweep Filter Strategy is a non-repainting trading system designed to identify liquidity sweeps, trend shifts, and high-impact price levels. It incorporates volume-based liquidation analysis, trend confirmation, and dynamic support/resistance detection to optimize trade entries and exits.
This strategy helps traders:
Detect liquidity sweeps where major market participants trigger stop losses and liquidations.
Identify trend shifts using a volatility-based moving average system.
Analyze volume distribution with a built-in volume profile visualization.
Filter noise by differentiating between major and minor liquidity sweeps.
How the Liquidity Sweep Filter Strategy Works
1. Trend Detection Using Volatility-Based Filtering
The strategy applies a volatility-adjusted moving average system to determine trend direction:
A central trend line is calculated using an EMA smoothed over a user-defined length.
Upper and lower deviation bands are created based on the average price deviation over multiple periods.
If price closes above the upper band, the strategy signals an uptrend.
If price closes below the lower band, the strategy signals a downtrend.
This approach ensures that trend shifts are confirmed only when price significantly moves beyond normal market fluctuations.
2. Liquidity Sweep Detection
Liquidity sweeps occur when price temporarily breaks key levels, triggering stop-loss liquidations or margin call events. The strategy tracks swing highs and lows, marking potential liquidity grabs:
Bearish Liquidity Sweeps – Price breaks a recent high, then reverses downward.
Bullish Liquidity Sweeps – Price breaks a recent low, then reverses upward.
Volume Integration – The strategy analyzes trading volume at each sweep to differentiate between major and minor sweeps.
Key levels where liquidity sweeps occur are plotted as color-coded horizontal lines:
Red lines indicate bearish liquidity sweeps.
Green lines indicate bullish liquidity sweeps.
Labels are displayed at each sweep, showing the volume of liquidated positions at that level.
3. Volume Profile Analysis
The strategy includes an optional volume profile visualization, displaying how trading volume is distributed across different price levels.
Features of the volume profile:
Point of Control (POC) – The price level with the highest traded volume is marked as a key area of interest.
Bounding Box – The profile is enclosed within a transparent box, helping traders visualize the price range of high trading activity.
Customizable Resolution & Scale – Traders can adjust the granularity of the profile to match their preferred time frame.
The volume profile helps identify zones of strong support and resistance, making it easier to anticipate price reactions at key levels.
Trade Entry & Exit Conditions
The strategy allows traders to configure trade direction:
Long Only – Only takes long trades.
Short Only – Only takes short trades.
Long & Short – Trades in both directions.
Entry Conditions
Long Entry:
A bullish trend shift is confirmed.
A bullish liquidity sweep occurs (price sweeps below a key level and reverses).
The trade direction setting allows long trades.
Short Entry:
A bearish trend shift is confirmed.
A bearish liquidity sweep occurs (price sweeps above a key level and reverses).
The trade direction setting allows short trades.
Exit Conditions
Closing a Long Position:
A bearish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Closing a Short Position:
A bullish trend shift occurs.
The position is liquidated at a predefined liquidity sweep level.
Customization Options
The strategy offers multiple adjustable settings:
Trade Mode: Choose between Long Only, Short Only, or Long & Short.
Trend Calculation Length & Multiplier: Adjust how trend signals are calculated.
Liquidity Sweep Sensitivity: Customize how aggressively the strategy identifies sweeps.
Volume Profile Display: Enable or disable the volume profile visualization.
Bounding Box & Scaling: Control the size and position of the volume profile.
Color Customization: Adjust colors for bullish and bearish signals.
Considerations & Limitations
Liquidity sweeps do not always result in reversals. Some price sweeps may continue in the same direction.
Works best in volatile markets. In low-volatility environments, liquidity sweeps may be less reliable.
Trend confirmation adds a slight delay. The strategy ensures valid signals, but this may result in slightly later entries.
Large volume imbalances may distort the volume profile. Adjusting the scale settings can help improve visualization.
Conclusion
The Liquidity Sweep Filter Strategy is a volume-integrated trading system that combines liquidity sweeps, trend analysis, and volume profile data to optimize trade execution.
By identifying key price levels where liquidations occur, this strategy provides valuable insight into market behavior, helping traders make better-informed trading decisions.
Key use cases for this strategy:
Liquidity-Based Trading – Capturing moves triggered by stop hunts and liquidations.
Volume Analysis – Using volume profile data to confirm high-activity price zones.
Trend Following – Entering trades based on confirmed trend shifts.
Support & Resistance Trading – Using liquidity sweep levels as dynamic price zones.
This strategy is fully customizable, allowing traders to adapt it to different market conditions, timeframes, and risk preferences.
Full credit for the original concept and indicator goes to AlgoAlpha.
HTF Candle Volume Thermometer [ChartPrime]The HTF Candle Volume Thermometer is a powerful volume heatmap tool that visualizes higher timeframe candle volume distributions directly on the chart. It helps traders identify key price levels where liquidity is concentrated, allowing for more informed trading decisions.
⯁ KEY FEATURES
Higher Timeframe Volume Mapping
Uses higher timeframe (HTF) candles to create a heatmap of volume distribution within each candle.
Dynamic Volume Heatmap
Colors each HTF candle background green for bullish and red for bearish, with a gradient heat overlay highlighting volume concentration.
Max Volume Point Identification
Marks the level within each HTF candle where the highest volume was recorded, using red for the most significant volume area.
Fully Customizable Display
Users can adjust the HTF timeframe, color settings, and resolution to tailor the indicator to their trading preferences.
Segmented Volume Distribution
Each HTF candle is divided into smaller levels, allowing traders to see volume changes within the range of each candle.
Key Level Detection
Max volume points often act as key support and resistance levels where price is likely to react, helping traders refine their strategies.
⯁ HOW TO USE
Identify Liquidity Zones
Use the max volume levels to determine areas where price is likely to find support or resistance.
Assess Trend Strength
Compare volume distribution between bullish and bearish HTF candles to gauge market momentum.
Optimize Trade Entries & Exits
Look for price reactions at high-volume areas to refine stop-loss and take-profit levels.
Adjust Heatmap Resolution
Customize the resolution setting to get a more detailed or broader view of volume segmentation within HTF candles.
⯁ CONCLUSION
The HTF Candle Volume Thermometer is a must-have tool for traders who want to integrate volume analysis with higher timeframe structures. By visualizing volume heatmaps within each HTF candle, this indicator helps traders pinpoint critical liquidity zones and key price levels.
Footprint IQ Pro [TradingIQ]Hello Traders!
Introducing "Footprint IQ Pro"!
Footprint IQ Pro is an all-in-one Footprint indicator with several unique features.
Features
Calculated delta at tick level
Calculated delta ratio at tick level
Calculated buy volume at tick level
Calculated sell volume at tick level
Imbalance detection
Stacked imbalance detection
Stacked imbalance alerts
Value area and POC detection
Highest +net delta levels detection
Lowest -net delta levels detection
CVD by tick levels
Customizable values area percentage
The image above thoroughly outlines what each metric in the delta boxes shows!
Metrics In Delta Boxes
"δ:", "\nδ%:", "\n⧎: ", "\n◭: ", "\n⧩: "
δ Delta (Difference between buy and sell volume)
δ% Delta Ratio (Delta as a percentage of total volume)
⧎ Total Volume At Level (Total volume at the price area)
◭ Total Buy Volume At Level (Total buy volume at the price area)
⧩ Total Sell Volume At Level (total sell volume at the price area)
Each metric comes with a corresponding symbol.
That said, until you become comfortable with the symbol, you can also turn on the descriptive labels setting!
The image above exemplifies the feature.
The image above shows Footprint IQ's full power!
Additionally, traders with an upgraded TradingView plan can make use of the "1-Second" feature Footprint IQ offers!
The image above shows each footprint generated using 1-second volume data. 1-second data is highly granular compared to 1-minute data and, consequently, each footprint is exceptionally more accurate!
Imbalance Detection
Footprint IQ pro is capable of detecting user-defined delta imbalances.
The image above further explains how Footprint IQ detects imbalances!
The imbalance percentage is customizable in the settings, and is set to 70% by default.
Therefore,
When net delta is positive, and the positive net delta constitutes >=70% of the total volume, a buying imbalance will be detected (upwards triangle).
When net delta is negative, and the negative net delta constitutes >=70% of the total volume, a buying imbalance will be detected (downwards triangle).
Stacked Imbalance Detection
In addition to imbalance detection, Footprint IQ Pro can also detect stacked imbalances!
The image above shows Footprint IQ Pro detecting stacked imbalances!
Stacked imbalances occur when consecutive imbalances at sequential price areas occur. Stacked imbalances are generally interpreted as significant price moves that are supported by volume, rather than a significant result with disproportionate effort.
The criteria for stacked imbalance detection (how many imbalances must occur at sequential price areas) is customizable in the settings.
The default value is three. Therefore, when three imbalances occur at sequential price areas, golden triangles will begin to print to show a stacked imbalance.
Additionally, traders can set alerts for when stacked imbalances occur!
Highest +Delta and Highest -Delta Levels
In addition to being a fully-fledged Footprint indicator, Footprint IQ Pro goes one step further by detecting price areas where the greater +Delta and -Delta are!
The image above shows price behavior near highest +Delta price areas detected by Footprint IQ!
These +Delta levels are considered important as there has been strong interest from buyers at these price areas when they are traded at.
It's expected that these levels can function as support points that are supported by volume.
The image above shows a similar function for resistance points!
Blue lines = High +Delta Detected Price Areas
Red lines = High -Delta Detected Price Areas
Value Area Detection
Similar to traditional volume profile, Footprint IQ Pro displays the value area per bar.
Green lines next to each footprint show the value area for the bar. The value area % is customizable in the settings.
CVD Levels
Footprint IQ Pro is capable of storing historical volume delta information to provide CVD measurements at each price area!
The image above exemplifies this feature!
When this feature is enabled, you will see the CVD of each price area, rather than the net delta!
And that's it!
Thank you so much to TradingView for offering the greatest charting platform for everyone to create on!
If you have any feature requests you'd like to see for Footprint IQ, please feel free to share them with us!
Thank you!
dmarcLevelParserLibrary "dmarcLevelParser"
Provides a parsing library that indicator authors can use in order to parse dmarcLevels.
parseLevels(s)
Parses the string content and returns the `dmarcLevels` found within.
Parameters:
s (string) : The string to parse.
Returns: The parsed dmarc levels.
zoneRange
Fields:
high (series float)
low (series float)
wtdLevels
Fields:
lvnLines (array)
lvnZones (array)
supplyLines (array)
supplyZones (array)
vses (array)
vahs (array)
vals (array)
pocs (array)
miscZones (array)
miscLines (array)
fbos (array)
fbds (array)
majorLevels (array)
mansupLines (array)
mansupmajLines (array)
mansupZones (array)
mansupmajZones (array)
manresLines (array)
manresmajLines (array)
manresZones (array)
manresmajZones (array)
Fibonacci Volume Profiles [AlgoAlpha]Unlock a deeper understanding of price action with the Fibonacci Volume Profiles indicator by AlgoAlpha! This powerful tool blends Fibonacci retracement levels with customizable volume profiles, helping traders identify high-probability areas of support, resistance, and accumulation. Designed for both continuous dynamic levels and custom time periods, this indicator is a must-have for traders seeking confluence in market structure analysis.
🔑 Key Features
📈 Dual Mode Selection : Choose between Continuous Fibonacci levels, which adapt dynamically to pivots, or a Custom Period mode, where you set your own start and end points.
📊 Integrated Volume Profile : Visualize volume distributions at key Fibonacci retracement levels, revealing areas of strong buying/selling interest.
🎨 Customizable Colors & Transparency : Adjust Fibonacci level colors, fill zones, and profile transparency for a visually clear experience.
🔍 Profile Resolution & Scaling : Control the number of price levels and width of the volume profile for detailed market insights.
🛠 Extendable Levels : Optionally extend Fibonacci levels to the right of the chart for better visualization of future price interaction.
📌 How to Use
Add the Indicator: Click on the star icon to add it to your favorites and apply it to your TradingView chart.
Analyze The Market: Observe how price interacts with Fibonacci levels alongside the volume profile to confirm support/resistance zones. Switch between custom range or continuous mode to align the tool with your trading style.
⚙️ How It Works
The indicator calculates pivot highs/lows dynamically (or uses user-defined time periods) to plot Fibonacci retracement levels. It then builds a volume profile by analyzing historical volume data, grouping it into price bins to highlight volume-heavy zones. The Point of Control (PoC) is identified as the level with the highest traded volume, acting as a key price magnet. The color-coded Fibonacci levels help traders spot retracement zones, while the volume profile confirms strength or weakness in those areas.
Combined SmartComment & Dynamic S/R LevelsDescription:
The Combined SmartComment & Dynamic S/R Levels script is designed to provide valuable insights for traders using TradingView. It integrates dynamic support and resistance levels with a powerful Intelligent Comment system to enhance decision-making. The Intelligent Comment feature generates market commentary based on key technical indicators, delivering real-time actionable feedback that helps optimize trading strategies.
Intelligent Comment Feature:
The Intelligent Comment function continuously analyzes market conditions and offers relevant insights based on combinations of various technical indicators such as RSI, ATR, MACD, WMA, and others. These comments help traders identify potential price movements, highlighting opportunities to buy, sell, or wait.
Examples of the insights provided by the system include:
RSI in overbought/oversold and price near resistance/support: Indicates potential price reversal points.
Price above VAH and volume increasing: Suggests a strengthening uptrend.
Price near dynamic support/resistance: Alerts when price approaches critical support or resistance zones.
MACD crossovers and RSI movements: Provide signals for potential trend shifts or continuations.
Indicators Used:
RSI (Relative Strength Index)
ATR (Average True Range)
MACD (Moving Average Convergence Divergence)
WMA (Weighted Moving Average)
POC (Point of Control)
Bollinger Bands
SuperSignal
Volume
EMA (Exponential Moving Average)
Dynamic Support/Resistance Levels
How It Works:
The script performs real-time market analysis, assessing multiple technical indicators to generate Intelligent Comments. These comments provide traders with timely guidance on potential market movements, assisting with decision-making in a dynamic market environment. The script also integrates dynamic support and resistance levels to further enhance trading accuracy.
Linear Regression Channel UltimateKey Features and Benefits
Logarithmic scale option for improved analysis of long-term trends and volatile markets
Activity-based profiling using either touch count or volume data
Customizable channel width and number of profile fills
Adjustable number of most active levels displayed
Highly configurable visual settings for optimal chart readability
Why Logarithmic Scale Matters
The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatility. Unlike linear scales, log scales represent percentage changes consistently across the price range. This allows for:
Better visualization of long-term trends
More accurate comparison of price movements across different price levels
Improved analysis of volatile assets or markets experiencing rapid growth
How It Works
The indicator calculates a linear regression line based on the specified period
Upper and lower channel lines are drawn at a customizable distance from the regression line
The space between the channel lines is divided into a user-defined number of levels
For each level, the indicator tracks either:
- The number of times price touches the level (touch count method)
- The total volume traded when price is at the level (volume method)
The most active levels are highlighted based on this activity data
Understanding Touch Count vs Volume
Touch count method: Useful for identifying key support/resistance levels based on price action alone
Volume method: Provides insight into levels where the most trading activity occurs, potentially indicating stronger support/resistance
Practical Applications
Trend identification and strength assessment
Support and resistance level discovery
Entry and exit point optimization
Volume profile analysis for improved market structure understanding
This Linear Regression Channel indicator combines powerful statistical analysis with flexible visualization options, making it an invaluable tool for traders and analysts across various timeframes and markets. Its unique features, especially the logarithmic scale and activity profiling, provide deeper insights into market behavior and potential turning points.
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Delta Flow Profile [LuxAlgo]The Delta Flow Profile is a charting tool that tracks and visualizes money flow and the difference between buying and selling pressure accumulated within multiple price ranges over a specified period. It reveals the relationship between an asset's price and traders' willingness to buy or sell, helping traders identify significant price levels and analyze market activity.
The Normalized Profile displays the percentage of money flow at each price level relative to the maximum money flow level, enabling traders to easily compare levels and understand the relative importance of each price point in the context of overall trading activity.
🔶 USAGE
The Delta Flow Profile is made of two principal components with different usability, each one of them described in the sub-sections below.
🔹 Money Flow Profile
The Money Flow Profile illustrates the total buying and selling activity at different price ranges. By analyzing this profile, users can identify key price zones with substantial buying or selling pressure. These zones can often act as potential support or resistance.
The rows of the Money Flow Profile represent the trading activity at specific price ranges over a given period.
A normalized profile is included to compare each zone relative to the peak money flow using a percentage, with 100% indicating that a price range is the one with the highest accumulated money flow.
🔹 Delta Profile
The Delta Profile assesses the dominant sentiment (buying or selling) from volume delta at different price levels to gauge market sentiment and potential reversals.
Delta Profile rows with more significant buying or selling volume indicate dominance from one side of the market in that specific price area. Price coming back to that area might indicate willingness from a dominant side to further accumulate orders within it, potentially causing price to follow the direction established by this dominant side afterward.
The volume delta is determined from the user-selected Polarity Method, with "Bar Polarity" using candle sentiment to determine if a bar associated volume is buying or selling volume, and "Bar Buying/Selling Pressure" making use of the high/low price to obtain more precise results.
🔹 Level of Significance
Users can quickly highlight the price levels with the highest recorded money flow activity through the included "Level of Significance". Various display methods are included:
Developing: Show the price level with the highest recorded money flow activity spanning over the indicator calculation interval.
Level: Show the price level with the highest recorded money flow activity.
Row: Show the price zone with the highest recorded money flow activity.
These levels/zones can be used as potential support/resistance points and can serve as a reference of where prices might go next for market participants to accumulate orders.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 Calculation Settings
Money Flow Profile: Toggles the visibility of the Money Flow Profile.
Normalized: Toggles the visibility of the Normalized Profile.
Sentiment Profile: Toggles the visibility of the Sentiment Profile.
Polarity Method: Choose between Bar Polarity or Bar Buying/Selling Pressure to calculate the Sentiment Profile.
Level of Significance: Toggles the visibility of the level of significance line/zone.
Lookback Length / Fixed Range: Sets the lookback length.
Number of Rows: Specify how many rows each profile histogram will have.
🔹 Display Settings
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length.
Profile Horizontal Offset: Enables moving the profile on the horizontal axis.
Profile Text: Toggles the visibility of profile texts, and alters the size of the text. Setting to Auto will keep the text within the box limits.
Currency: Extends the profile text with the traded currency.
Profile Price Levels: Toggles the visibility of the profile price levels.
🔶 RELATED SCRIPTS
Money-Flow-Profile
Volume-Profile-with-Node-Detection
Overlay-ChartOverlay-Chart Indicator
The Overlay-Chart Indicator is an advanced script designed for scalpers and day traders, providing comprehensive insights into daily, weekly, monthly, and previous period price levels. This indicator helps traders visualize critical price levels and make informed decisions based on historical and current data.
Key Features:
Drawing Future Lines with Labels:
The script uses the drawFutureLine function to plot future price levels with customizable labels. This helps traders anticipate and react to key price points.
Daily Levels:
Displays the open, low, high, close, and equilibrium (EQ) prices for the current day. This provides a quick reference for daily trading ranges and significant price points.
Weekly Levels:
Shows the open, low, high, close, and equilibrium prices for the current week, offering a broader view of market trends and key weekly price levels.
Monthly Levels:
Illustrates the open, low, high, close, and equilibrium prices for the current month, enabling traders to understand long-term trends and significant monthly price points.
Previous Day, Week, and Month Levels:
Historical data from previous periods (day, week, month) is displayed, allowing traders to compare past and present price levels to identify patterns and potential support/resistance levels.
Customizable Colors:
Traders can choose colors for daily, weekly, monthly, and previous day levels to enhance chart readability and personalization.
Flexible Display Options:
Users can select which price levels (Open, Low, High, Close, EQ) to display for each period (daily, weekly, monthly, previous day, week, month).
How It Works:
The script fetches historical and current price data using the request.security function. It then uses these data points to draw lines on the chart representing significant price levels. These lines are drawn into the future to help traders visualize where these levels will be in upcoming bars. Labels are added to these lines for easy identification.
How to Use:
Configure Inputs:
Enable or disable the display of daily, weekly, monthly, and previous period levels using the input options.
Customize colors for different levels to match your charting preferences.
Analyze Key Levels:
Observe the plotted lines and labels to understand critical price points for the current and past periods.
Use this information to identify potential entry and exit points, support and resistance levels, and overall market trends.
Future Planned Features:
The script includes several features that are currently commented out but planned for future updates:
Volume Weighted Average Price (VWAP):
Display VWAP for daily, weekly, and monthly periods to provide an average price based on volume.
Point of Control (POC):
Show the price level with the highest trading volume for daily, weekly, and monthly periods.
Value Area High (VAH) and Low (VAL):
Display the upper and lower boundaries of the value area where most trading activity occurs for daily, weekly, and monthly periods.
These enhancements will offer additional insights into volume distribution and market sentiment, further improving the utility of the Overlay-Chart Indicator for traders.
This script is specifically designed to cater to the needs of scalpers and day traders who require precise, visually intuitive data for their trading strategies. The planned features will further enhance its effectiveness, providing a comprehensive tool for market analysis.
Wave Consolidation [LuxAlgo]The Wave Consolidation indicator uses market profiles to highlight consolidation zones based on upward and downward moves determined when a Higher-High or Lower-Low is created.
Users can control the amount of consolidation zones to display and the sensitivity of the swing point detection used to return those zones.
🔶 USAGE
These zones are intended as areas of interest to traders where price has seen historical interactions, which can be interpreted as support and resistance. By identifying these areas of interest before the price returns to them, traders are able to anticipate and prepare for various scenarios and respond dynamically to the behavior of the market, as seen below.
Rejection: A quick move away from the zone may indicate that the area is either overvalued or undervalued, leading to a fast movement in the opposite direction.
Breakthrough: Moving beyond a zone could indicate acceptance at that specific price, potentially signaling a shift in momentum or the start of a new trend. In a strong major trend, zones created from smaller trends could be used as price targets for taking profit and managing risk.
Consolidation: Holding these zones might suggest a market in balance at these levels, this could lead to opportunities for range-bound trading.
Below is an example of the Rejection and Consolidation scenarios described above.
Note: By analyzing the tests and retests of these zones, traders can also gain further insight into where participants are interacting in the market.
🔶 DETAILS
The full process for acquiring and managing these zones is described in the sub-sections below.
🔹 Creation
By only considering market movements creating a higher-high or lower-low, we can identify meaningful, directional, moves which can then be used to calculate zones.
Once a move is identified, the script calculates a volume profile spanning the length of the given move.
The width of the zones is determined starting from the POC of the profile and expanding outwards until the value of the profile's row falls below the profile's average.
Note: By increasing the "Multiplier" Input, Users can increase the threshold the script uses to determine zone width in multiples of Standard Deviations above the Average.
While this area is similar to a VP Value Area, it is not intended to replicate a value zone. The calculation is not concerned with capturing any % of the total profile's volume within the zone and only analyzes based on a fixed inclusion threshold.
🔹 Management
To keep clutter to a minimum, If a new zone overlaps a recently created zone, the zones are grouped as one. This is especially helpful in areas where prices are ranging, creating multiple zones in a very similar area.
Zones before management:
Zones after management:
🔹 Deletion
Just because a zone is crossed, does not make it immediately unimportant!
Once a Zone is mitigated (crossed in the opposite direction of its bias) it is reduced to a single dotted line representing the outer threshold for the zone. These lines are important to watch, as the price will often retest a break. For this reason, they will stay on the chart until the next swing point is detected when they will finally be deleted for good.
Below is an example of activity around a broken zone before it is deleted.
Below is the same example 2bBars later , once the new swing is confirmed, the dotted lines are deleted and new zones are created.
Notice how the newly formed resistance zone is in the same area where we noticed sellers previously.
🔶 SETTINGS
🔹 Structure
Display Structure: Determines if swing structures are displayed.
Structure Length: Sets Length for structure identification.
🔹 Zones
Volume-Based Calculations: Opt to use a "Volume" based Profile Calculation instead of the default "Price Action" based Calculation.
Display Count: Sets the specific number of bullish and bearish zones to display on the chart.
Multiplier: Sets the multiplier to use for the value cut-off for determining zone boundaries.
🔹 Style
Display Average Lines: Toggles on/off the average (mid) lines for the zones.
Previous Day and Week RangesI've designed the "Previous Day and Week Ranges" indicator to enhance your trading strategy by clearly displaying daily and weekly price levels. This tool shows Open-Close and High-Low ranges for both daily and weekly timeframes directly on your trading chart.
Key Features :
Potential Support and Resistance: The indicator highlights previous day and week ranges that may serve as key support or resistance levels in subsequent trading sessions.
Customizable Display Options: Offers the flexibility to show or hide daily and weekly ranges based on your trading needs.
Color Customization: Adjust the color settings to differentiate between upward and downward movements, enhancing visual clarity and chart readability.
This indicator is ideal for traders aiming to understand market dynamics better, offering insights into potential pivot points and zones of price stability or volatility.
Monte Carlo Future Moves [ChartPrime]ORIGINS AND HISTORICAL BACKGROUND:
Prior to the the advent of the Monte Carlo method, examining well-understood deterministic problems via simulation generally utilized statistical sampling to gauge uncertainty estimations. The Monte Carlo (MC) approach inverts this paradigm by modeling with probabilistic metaheuristics to address deterministic problems. Addressing Buffon's needle problem, an early form of the Monte Carlo method estimated π (3.14159) by dropping needles on a floor. Later, the modern MC inception primarily began when Stanislaw Ulam was playing solitaire games while experiencing illness and recovery.
Ulam further developed, applied, and ascribed "Monte Carlo" as a classified code name to maintain a level of secrecy for the modern method applications during collaborative investigations on neutron diffusion and collision intricacies with John von Neumann. Despite having relevant data, physicist's conventional deterministic mathematical methods were unable to solve mysterious "neutronion problems". Monte Carlo filled in the gaps necessary to resolve this perplexing neutron problem with innovative statistics, and the resilient MC continues onward to have diverse application in many fields of science. MC also extends into the realm of relevance within finance.
APPLICATION IN FINANCE:
Building on its historical roots, the Monte Carlo method's transition into finance opened new avenues for risk assessment and predictive analysis. In financial markets, characterized by uncertainty and complex variables, this method offers a powerful tool for simulating a wide range of scenarios and assessing probabilities of different outcomes. By employing probabilistic models to predict price movements, the Monte Carlo method helps in creating more resilient and informed trading strategies. This approach is particularly valuable in options pricing, portfolio management, and risk assessment, where understanding the range of potential outcomes is crucial for making sound investment decisions. Our indicator utilizes this methodology, blending traditional financial analysis with advanced statistical techniques.
THE INDICATOR:
The Monte Carlo Future Moves (ChartPrime) indicator is designed to predict future price movements. It simulates various possible price paths, showing the likelihood of different outcomes. We have designed it to be simple to use and understand by displaying lines indicating the most likely bullish and bearish outcomes. The arrows point to these areas making it intuitive to understand. Also included is extreme price levels shown in blue and yellow. This is the most likely extreme range that the price will move to. The outcome distribution is there to show you the range of outcomes along with a visual representation of the possible future outcomes. To make things more user friendly we have also included a representation of this distribution as a background heatmap. The brighter the price level, the more likely the price will end at that level. Finally, we have also included a market bias indication on the side that shows you the general bullish/bearish probabilities.
HOW TO USE:
To use this indicator you want to first assess the market bias. From there you want to target the most likely polar outcome. You can use the range of outcomes to assess your risk and set a stop within a reasonable range of the desired target. By default the indicator projects 10 steps into the future, however this can be easily adjusted in the settings. Generally this indicator excels at mid-term estimations and may yield inconclusive results if the prediction period is too short or too long. You can change the granularity of the outcomes to give you a more or less detailed view of the future. That being said, a lower resolution can make the predictions less useful while a higher resolution can give you a less useful picture. If you decide to use a higher resolution we have included an option to smooth the final result. This is intended to reduce the uncertainty and noise in the predicted outcomes. It is advised to use the minimum level of smoothing possible as a high level of smoothing will greatly reduce the accuracy.
INPUT SECTION:
Derivative Source changes how the indicator sees the price movements. When you set this to Candle it will use the difference between the open and close of each candle. If set to Move, it will use the difference between closing prices. If you are in a market with gaps, you might want to use Candle as this will prevent the indicator from seeing gaps.
Number of Simulations is a crucial setting as it is the core of this indicator. This determines the number of simulations the indicator will use to get its final result. By default it is set to 1000 as we feel like that is around the minimum number of simulations required to get a reasonable output while maintaining stability. In tests the maximum number of simulations we have been able to consistently achieve is 2000.
Lookback is the number of historical candles to account for. A lookback that is too short will not have enough data to accurately assess the likelihood of a price movement, while a period that is too large can make the data less relevant. By default this is set to 1000 as we feel like this is a reasonable tradeoff between volume of data and relevance.
Steps Into Future is the prediction period. By default we have picked a period of 10 steps as this has a good balance between accuracy and usability. The more steps into the future you go, the more uncertain the future outcome will be.
Outcome Granularity controls the precision of the simulated outcomes. By default this is set to 40 as its a good balance between resolution and accuracy.
Outcome Smoothing allows you to smooth the outcome distribution. By default this is set to 0 as it is generally not needed for lower resolutions. Smoothing levels beyond 2 are not recommended as it will negatively impact the output.
Returns Granularity controls the level of definition in the collected price movements. This directly impacts indicator performance and is set to 50 by default because its a good balance between fidelity and usability. When this number is too small, the simulations will be less accurate while numbers too large will negatively impact the probabilities of the movements.
Drift is the trend component in the simulation. This adds the directionality of the simulations by biasing the movements in the current direction of the market. We have included both the standard formula for drift and linear regression. Both methods are well suited for simulating future price movements and have their own advantages. The drift period is set to 100 by default as its a good balance between current and historical directionality. You may want to increase or decrease this number depending on the current market conditions but it is advised to use a period that isn't too small. If your period is too small it can skew the outcomes too much resulting in poor performance. When this is set to 0 it will use the same period as your lookback.
Volatility Adjust , adjusts the simulation to include current volatility. This makes sure that the price movements in the simulation reflects the current market conditions better by making sure that each price move is at least a minimum size.
Returns Style allows you to pick between using percent moves and log returns. We have opted to make percent move the default as it is more intuitive for beginners however both settings yield similar results. Log returns can be less cpu intensive so it might be desirable for longer term predictions.
Precision adjusts the rounding of used when collecting the frequency of price movement sizes. By default this is set to 4 as its is fairly accurate without impacting performance too much. A larger number will make the indicator more precise but at the cost of cpu time. Precision levels that are too small can greatly reduce the accuracy of the simulation and even break the indicator all together.
Update Every Bar allows you to recalculate the prediction every bar and is there for you if you want to strictly use the market bias. It is not recommended to enable this feature but it is there for flexibility.
Side of Chart allows you to pick what side of the price action you want the visuals to be on. When its set to the right everything will be to the right of the starting point and when its set to Left it will position everything to the left of the starting point.
Move Visualization is there to give you an arrow to the most likely bullish and bearish moves. It is meant as a visual aid and visualization tool. The color of these arrows use the same colors as the distribution.
Most Likely Move is a horizontal line that indicates the most likely move. It is positioned in the same location as the Move Visualization.
Standard Deviation is horizontal lines at the extremities of the simulated price action. These represent the most likely range of the future outcomes. You can adjust the multiplier of the standard deviation but by default it is set to 2.
Most Likely Direction is a vertical bar that shows you the sum of the up and down probabilities. It is there to show you the bias of the outcomes and guide you in decision making.
Max Probability Zone is a horizontal line that highlights the location of the highest probability move. You can think of it almost like the POC in a volume distribution but in this case it is the "most likely" single outcome.
Outcome Distribution allows you to toggle the distribution on or off. This is the distribution of all of the simulated outcomes. You can toggle the scale width of the distribution to fit your visual style.
Distribution Text toggles the probability text inside of the distribution bars. When you have a large number for the outcome granularity this text may not be visible and you may want to disable this feature.
Background is a heatmap of the outcome distribution. This allows you to visualize the underlying distribution without the need for the distribution histogram. The brighter the color, the more likely the outcome is for that level. It can be useful for visualizing the range of possible outcomes.
Starting Line is simply a horizontal line indicating the starting point of the simulation. It just the opening price for the starting position.
Extend Lines allows you to extend the lines and background past the prediction period.
CONCLUSION:
With its intuitive visuals and flexible settings, the Monte Carlo Future Moves (ChartPrime) indicator is practice and easy to use. It brings clarity to price movement predictions, helping you to build confidence in your strategies. This indicator not only reflects the evolution of technical analysis but also touches on data-driven insights.
Enjoy
Logarithmic Volatility Direction Index [IkkeOmar]The LVDI is a Mean-Reversion Indicator. it doesn't detect trends and does not give a signal per se.
What it does is tell you if we have a flashcrash based on the price action and volume that is available. It is not always easy to see with the naked eye, so this indicator can help you DCA into an asset in a smarter way, if you couple it with other trend systems.
Think of this indicator like a form of a volatility index.
Inputs:
len and lenWMA are integers representing different lengths for calculations, and src is the data source
Keep in mind that "Length" is the lookback for the WMA, and the Length smooting is the lookback for the SMA of the "volume_weighted".
WMA Calculation
wma_basic = math.log10(ta.wma(src, len))
This calculates the logarithm (base 10) of the Weighted Moving Average (WMA) of the source data over len periods. WMA is a type of moving average giving more importance to recent data. The reason I use log10, is to make it transformative over a longer timeframe. This makes it easier to see the growth direction. I like to use this for crypto, since there is asymetric upside.
Volume Filter:
average_volume = ta.sma(volume, lenWMA)
volume_weighted = math.log10(wma_basic * (volume / math.log10(average_volume)))
Here, the script first calculates the Simple Moving Average (SMA) of the trading volume over lenWMA periods. Then, it computes a volume-weighted value of the WMA, adjusted by the logarithmic ratio of current volume to average volume.
Distance and Score Calculation:
distance = math.log10(src) - math.log10(volume_weighted)
score = math.sign(distance) * math.pow(math.abs(distance), 2)
The script calculates the logarithmic difference between the source data and the volume-weighted WMA. The score is determined by the sign of this distance multiplied by its square. This potentially amplifies the impact of larger distances.
Plotting:
plot(volume_weighted, title="Volume Weighted WMA", color=color.blue, linewidth = 2)
plot(ta.sma(volume_weighted, lenWMA), title="Volume Weighted WMA", color=color.rgb(189, 160, 0))
Mathematical concepts
Weighted Moving Average (WMA):
WMA is a moving average that assigns more weight to recent data points. The idea is that recent prices are more relevant to the current trend than older prices.
Logarithms:
The use of log10 (logarithm base 10) is interesting. Logarithms help in normalizing data and can make certain patterns more visible, especially when dealing with exponential growth or decay.
Volume Weighting:
Multiplying the WMA by the ratio of current volume to average volume (both logarithmic) integrates volume into the analysis. High trading volume can signify stronger market interest and can thus validate price movements.
Distance and Score:
The distance measures how far the current price is from the volume-weighted WMA on a logarithmic scale. The score squares this distance, potentially highlighting large divergences.
Case example
In the case above (which is a low timeframe that shouldn't be your main system) we see the blue line going up before going below the moving average line (orange). This indicates a local bottom zone. Does that mean that we wont go lower? No! What you can do is calculate a zone range.
We have an average line, you can get that from the POC with the VRVP.
Then you take the low and high of that zone and take the average:
(3.17% + 2.33%) / 2 = 2.75%
This means that we expect that the price can fall an additional 2.75%! Low and behold. When you check the same chart as above:
Hope it makes sense!
Stay safe everyone!
Don't hesitate to ask any questions if you have any!
Volume Profile PlusThis indicator provides a high-resolution and high-precision implementation of Volume Profile with flexible range settings. Its key features include:
1. Support for a high resolution of up to 2,500 rows.
2. Capability to examine lower timeframe bars (default 5,000 intra-bars) for enhanced precision.
3. Three range modes — "Visible Range", "Anchored Range", and "All Range".
4. Highlighting of Point of Control and Value Area.
5. Extensive customization options allowing users to configure dimensions, on-chart placements, and color schemes.
🔵 Settings
The settings screen, along with the explanations for each setting, is provided below:
🔵 High Resolution using Polyline
Inspired by @fikira, this indicator utilizes the newly introduced `polyline` type in PineScript to plot the volume profile. It employs a single polyline instance to represent the entire histogram. With each polyline instance supporting up to 10,000 points and each histogram row requiring 4 points, this indicator can accommodate 2500 rows, resulting in a significantly higher resolution compared to conventional volume profile indicators that use `line`s or `box`es to draw the histogram.
🔵 High Precision Data-binning using Lower Timeframe Data
Conventional volume profile indicators often face one or both of the following limitations:
1. They only consider volume within the chart's current timeframe.
2. They assign each bar's total volume to a single price bucket based on the bar's average price, rather than distributing volume across multiple price buckets.
As a result, when the number of bars in the chart is low, those indicators may provide imprecise results, making it difficult to accurately identify significant volume nodes and the point of control.
To address these limitations and enhance accuracy, this indicator examines data from lower timeframes and distributes the volume to fine-grained price buckets. It intelligently selects an appropriate lower timeframe to ensure precise output while complying with a maximum specified number of bars to maintain good performance.
🔵 Three Range Modes
This indicator offers users the flexibility to choose from three range modes:
1. Visible Range (Default Mode): In this mode, the volume profile calculation begins at the time of the left-most bar displayed in the current viewport. As the user scrolls through the viewport, the volume profile updates automatically.
2. Anchored Range: This mode allows the user to set the start time either by using the datetime input boxes or by dragging the anchor line on the chart.
3. All Range: In this mode, the volume profile calculation is based on all the historical bars available in the chart.
Volume HeatMap With Profile [ChartPrime]The Volume Heatmap with Profile indicator is a tool designed to provide traders with a comprehensive view of market activity through customizable visualizations. This indicator goes beyond traditional volume analysis by offering a range of adjustable parameters and features that enhance analysis of volume and give a cleaner experience when analyzing it.
To get started click the start and end time for the profile.
Key Features:
Extended Calculation: This indicator extends its calculation to the last bar, ensuring that the user has insights into current market dynamics.
Point of Control (POC): Easily identify the price level at which the highest trading activity has occurred, helping the user pinpoint potential reversal points and significant support/resistance zones.
VWAP Point of Control: Display the Volume Weighted Average Price (VWAP) Point of Control, giving the user a clear reference for determining the average price traders are paying and potential price reversals.
Adjustable Colors for Heatmap: Change the heatmap colors to the users preference, allowing the user to match the indicator's appearance to their chart style and personal visual preferences.
Forecasted Zone: This feature allows traders to forecast areas of high activity by providing the option to adjust colors within this zone. This feature assists in identifying potential breakouts or areas where increased trading volume is anticipated.
Volume Profile: Customize the colors of the volume profile to make it distinct and easily distinguishable on the chart.
Adjustable Volume Levels: Specify the number volume levels that are most relevant to your trading strategy.
Adjustable Placement for Volume Profile: Position the volume profile on the chart. Whether the user prefers it on the left, right, or at the center of the chart, this indicator offers placement flexibility.
The ratio of bull vs bear volume is plotted on the outside of the range indicating how bullish or bearish price action is in a given range.
PhantomFlow AccumulationDetectorThe PhantomFlow AccumulationDetector indicator analyzes the volume profile and displays potential accumulation based on the selected timeframe in the settings. This indicator can be used both as zones for trend following and for identifying reversals, as shown in the examples on the chart. The logic behind the formation of the accumulation zone is based on the fact that the POC (Point of Control) of the current zone is within the Volume Area range of the previous period.
Optimal settings for the working timeframe should be chosen visually, and the size of the zones should not be too large or too small. Additionally, it's advisable not to consider overly wide zones during increased volatility.
Consecutive zones within the same range often indicate a potential reversal.
We borrowed the volume profile calculation code from @LonesomeTheBlue. Thank you for the work done!
Liquidity Sentiment Profile (Auto-Anchored) [LuxAlgo]
The Liquidity Sentiment Profile (Auto-Anchored) is an advanced charting tool that measures by combining PRICE and VOLUME data over specified anchored periods and highlights the distribution of the liquidity and the market sentiment at specific price levels. This version is a variation of the previously published Liquidity Sentiment Profile , wherewith this version allows users to select a variety of different anchoring periods, such as 'Auto', 'Fixed Range', 'Swing High', 'Swing Low', 'Session', 'Day', 'Week', 'Month', 'Quarter', and 'Year'
Liquidity refers to the availability of orders at specific price levels in the market, allowing transactions to occur smoothly.
🔶 USAGE
A Liquidity Sentiment Profile (Auto-Anchored) is a combination of liquidity and a sentiment profile, where the right side of the profile highlights the distribution of the traded activity at different price levels, and the left side of the profile highlights the market sentiment at those price levels
The liquidity profile is categorized by assigning different colors based on the significance of the traded activity of the specific price levels, allowing traders to reveal significant price levels, such as support and resistance levels, supply and demand zones, liquidity gaps, consolidation zones, etc
The Liquidity Sentiment Profiles aim to present Value Areas based on the significance of price levels, thus allowing users to identify value areas that can be formed more than once within the range of a single profile
Level of Significance Line - displays the changes in the price levels with the highest traded activity (developing POC)
Buyside & Sellside Liquidity Zones - displays Liquidity Levels, also known as Supply and Demand Zones
🔶 SETTINGS
The script takes into account user-defined parameters and plots the profiles, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Liquidity Sentiment Profile
Anchor Period: The indicator resolution is set by the input of the Anchor Period.
Fixed Period: Applicable if the Anchor Period is set to 'Fixed Range' then the period of the profile is defined with this option
Swing Detection Length: Applicable if the Anchor Period is set to 'Swing High' or 'Swing Low' then the length required to detect the Swing Levels is defined with this option which is then used to determine the period of the profile
🔹 Liquidity Profile
Liquidity Profile: Toggles the visibility of the Liquidity Profiles
High Traded Nodes: Threshold and Color option for High Traded Nodes
Average Traded Nodes: Color option for Average Traded Nodes
Low Traded Nodes: Threshold and Color option for Low Traded Nodes
🔹 Sentiment Profile
Sentiment Profile: Toggles the visibility of the Sentiment Profiles
Bullish Nodes: Color option for Bullish Nodes
Bearish Nodes: Color option for Bearish Nodes
🔹 Buyside & Sellside Liquidity Zones
Buyside & Sellside Liquidity Zones: Toggles the visibility of the Liquidity Levels
Buyside Liquidity Nodes: Color option for Buyside Liquidity Nodes
Sellside Liquidity Nodes: Color option for Sellside Liquidity Nodes
🔹 Other Settings
Level of Significance: Toggles the visibility of the Level of Significance Line
Price Levels, Color: Toggles the visibility of the Profile Price Levels
Number of Rows: Specify how many rows each profile histogram will have. Caution, having it set to high values will quickly hit Pine Script™ drawing objects limit and fewer historical profiles will be displayed
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length
Profile Range Background Fill: Toggles the visibility of the Profiles Range
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
Buyside-Sellside-Liquidity
ICT-Concepts
Market Sessions and TPO (+Forecast)This indicator "Market Sessions and TPO (+Forecast)" shows various market sessions alongside a TPO profile (presented as the traditional lettering system or as bars) and price forecast for the duration of the session.
Additionally, numerous statistics for the session are shown.
Features
Session open and close times presented in boxes
Session pre market and post market shown
TPO profile generated for each session (normal market hours only)
A forecast for the remained of the session is projected forward
Forecast can be augmented by ATR
Naked POCs remain on the chart until violated
Volume delta for the session shown
OI Change for the session shown (Binance sourced)
Total volume for the session shown
Price range for the session shown
The image above shows processes of the indicator.
Volume delta, OI change, total volume and session range are calculated and presented for each session.
Additionally, a TPO profile for the most recent session is shown, and a forecast for the remainder of the active session is shown.
The image above shows an alternative display method for the session forecast and TPO profile!
Additionally, the pre-market and post-market times are denoted by dashed boxes.
The image above exemplifies additional capabilities.
That's all for now; further updates to come and thank you for checking this out!
And a special thank you to @TradingView of course, for making all of this possible!
Filtered Volume Profile [ChartPrime]The "Filtered Volume Profile" is a powerful tool that offers insights into market activity. It's a technical analysis tool used to understand the behavior of financial markets. It uses a fixed range volume profile to provide a histogram representing how much volume occurred at distinct price levels.
Profile in action with various significant levels displayed
How to Use
The script is designed to analyze cumulative trading volumes in different price bins over a certain period, also known as `'lookback'`. This lookback period can be defined by the user and it represents the number of bars to look back for calculating levels of support and resistance.
The `'Smoothing'` input determines the degree to which the output is smoothed. Higher values lead to smoother results but may impede the responsiveness of the indicator to rapid changes in volatility.
The `'Peak Sensitivity'` input is used to adjust the sensitivity of the script's peak detection algorithm. Setting this to a lower value makes the algorithm more sensitive to local changes in trading volume and may result in "noisier" outputs.
The `'Peak Threshold'` input specifies the number of bins that the peak detection mechanism should account for. Larger numbers imply that more volume bins are taken into account, and the resultant peaks are based on wider intervals.
The `'Mean Score Length'` input is used for scaling the mean score range. This is particularly important in defining the length of lookback bars that will be used to calculate the average close price.
Sinc Filter
The application of the sinc-filter to the Filtered Volume Profile reduces the risk of viewing artefacts that may misrepresent the underlying market behavior. Sinc filtering is a high-quality and sharp filter that doesn't manifest any ringing effects, making it an optimal choice for such volume profiling.
Histogram
On the histogram, the volume profile is colored based on the balance of bullish to bearish volume. If a particular bar is more intense in color, it represents a larger than usual volume during a single price bar. This is a clear signal of a strong buying or selling pressure at a particular price level.
Threshold for Peaks
The `peak_thresh` input determines the number of bins the algorithm takes in account for the peak detection feature. The 'peak' represents the level where a significant amount of volume trading has occurred, and usually is of interest as an indicative of support or resistance level.
By increasing the `peak_thresh`, you're raising the bar for what the algorithm perceives as a peak. This could result in fewer, but more significant peaks being identified.
History of Volume Profiles and Evolution into Sinc Filtering
Volume profiling has a rich history in market analysis, dating back to the 1950s when Richard D. Wyckoff, a legendary trader, introduced the concept of volume studies. He understood the critical significance of volume and its relationship with market price movement. The core of Wyckoff's technical analysis suite was the relationship between prices and volume, often termed as "Effort vs Results".
Moving forward, in the early 1800s, the esteemed mathematician J. R. Carson made key improvements to the sinc function, which formed the basis for sinc filtering application in time series data. Following these contributions, trading studies continued to create and integrate more advanced statistical measures into market analysis.
This culminated in the 1980s with J. Peter Steidlmayer’s introduction of Market Profile. He suggested that markets were a function of continuous two-way auction processes thus introducing the concept of viewing markets in price/time continuum and price distribution forms. Steidlmayer's Market Profile was the first wide-scale operation of organized volume and price data.
However, despite the introduction of such features, challenges in the analysis persisted, especially due to noise that could misinform trading decisions. This gap has given rise to the need for smoothing functions to help eliminate the noise and better interpret the data. Among such techniques, the sinc filter has become widely recognized within the trading community.
The sinc filter, because of its properties of constructing a smooth passing through all data points precisely and its ability to eliminate high-frequency noise, has been considered a natural transition in the evolution of volume profile strategies. The superior ability of the sinc filter to reduce noise and shield against over-fitting makes it an ideal choice for smoothing purposes in trading scripts, particularly where volume profiling forms the crux of the market analysis strategy, such as in Filtered Volume Profile.
Moving ahead, the use of volume-based studies seems likely to remain a core part of technical analysis. As long as markets operate based on supply and demand principles, understanding volume will remain key to discerning the intent behind price movements. And with the incorporation of advanced methods like sinc filtering, the accuracy and insight provided by these methodologies will only improve.
Mean Score
The mean score in the Filtered Volume Profile script plays an important role in probabilistic inferences regarding future price direction. This score essentially characterizes the statistical likelihood of price trends based on historical data.
The mean score is calculated over a configurable `'Mean Score Length'`. This variable sets the window or the timeframe for calculation of the mean score of the closing prices.
Statistically, this score takes advantage of the concept of z-scores and probabilities associated with the t-distribution (a type of probability distribution that is symmetric and bell-shaped, just like the standard normal distribution, but has heavier tails).
The z-score represents how many standard deviations an element is from the mean. In this case, the "element" is the price level (Point of Control).
The mean score section of the script calculates standard errors for the root mean squared error (RMSE) and addresses the uncertainty in the prediction of the future value of a random variable.
The RMSE of a model prediction concerning observed values is used to measure the differences between values predicted by a model and the values observed.
The lower the RMSE, the better the model is able to predict. A zero RMSE means a perfect fit to the data. In essence, it's a measure of how concentrated the data is around the line of best fit.
Through the mean score, the script effectively predicts the likelihood of the future close price being above or below our identified price level.
Summary
Filtered Volume Profile is a comprehensive trading view indicator which utilizes volume profiling, peak detection, mean score computations, and sinc-filter smoothing, altogether providing the finer details of market behavior.
It offers a customizable look back period, smoothing options, and peak sensitivity setting along with a uniquely set peak threshold. The application of the Sinc Filter ensures a high level of accuracy and noise reduction in volume profiling, making this script a reliable tool for gaining market insights.
Furthermore, the use of mean score calculations provides probabilistic insights into price movements, thus providing traders with a statistically sound foundation for their trading decisions. As trading markets advance, the use of such methodologies plays a pivotal role in formulating effective trading strategies and the Filtered Volume Profile is a successful embodiment of such advancements in the field of market analysis.
Swing Ranges [ChartPrime]Swing Ranges is an indicator designed to provide traders with valuable insights into swing movements and real-time support and resistance (SR) levels. This tool detects price swings and plots boxes around them, allowing traders to visualize the market dynamics efficiently. The indicator's primary focus is on real-time support and resistance levels, empowering traders to make well-informed decisions in dynamic market conditions.
Key Features:
Swing Box Visualization:
Swing Ranges excels at detecting swings in the price data and visually representing them with boxes on the price chart. This enables traders to quickly identify swing ranges, essential for understanding market trends and potential reversal points. VWAP POCs are also provided giving areas of high activity in each block.
Real-Time Support and Resistance Levels:
The core feature of Swing Ranges is its real-time support and resistance levels. These levels are dynamically calculated based on the volume-weighted data for each specific range. The indicator displays the strength of support and resistance zones with percentage bars, indicating the ratio between bullish and bearish volume. This real-time information empowers traders to assess the strength and significance of each SR level, enhancing their ability to execute well-timed trades.
ATR (Average True Range) Value:
Swing Ranges also includes an ATR value label, which shows the Average True Range for the selected period. ATR aids traders in understanding market volatility, enabling them to set appropriate stop-loss and take-profit levels for their trades.
VWAP (Volume Weighted Average Price) Information:
Traders c an readily access the VWAP value through the indicator's label. VWAP provides insights into the average price at which an asset has been traded, helping traders identify potential fair value areas and market trends.
Price Difference Percentage:
Swing Ranges displays the percentage difference between the high and low of each swing. This information allows traders to gauge the magnitude of price movements and assess potential profit targets more effectively.
The indicator also has a NV value. If the NV is high e.g. 10% or more there is indecision in the market and the market is trying to remain in a given range.
Settings Inputs:
1. Length Control:
The Length setting input in Swing Ranges allows traders to adjust the sensitivity of the indicator to detect swings. Traders can customize the length based on their trading strategies and timeframes.
2. ATR Period Adjustment:
The ATR Period input allows traders to fine-tune the calculation period for the Average True Range. This feature enables traders to adapt the indicator to different market conditions and asset classes.
Swing Ranges: Real-Time Support and Resistance Indicator is a comprehensive tool that combines swing visualization with dynamic support and resistance levels. By focusing on real-time SR levels, this indicator equips traders with the essential information needed to make confident trading decisions in ever-changing market conditions.