Psychological Levels- Rounding Numbers Psychological Levels Indicator
Overview:
The Psychological Levels Indicator automatically identifies and plots significant price levels based on psychological thresholds, which are key areas where market participants often focus their attention. These levels act as potential support or resistance zones due to human behavioral tendencies to round off numbers. This indicator dynamically adjusts the levels based on the stock's price range and ensures seamless visibility across the chart.
Key Features:
Dynamic Step Sizes:
The indicator adjusts the levels dynamically based on the stock price:
For prices below 500: Levels are spaced at 10.
For prices between 500 and 3000: Levels are spaced at 50, 100, and 1000.
For prices between 3000 and 10,000: Levels are spaced at 100 and 1000.
For prices above 10,000: Levels are spaced at 500 and 1000.
Extended Visibility:
The plotted levels are extended across the entire chart for improved visualization, ensuring traders can easily monitor these critical zones over time.
Customization Options:
Line Color: Choose the color for the levels to suit your charting style.
Line Style: Select from solid, dashed, or dotted lines.
Line Width: Adjust the thickness of the lines for better clarity.
Clean and Efficient Design:
The indicator only plots levels relevant to the visible chart range, avoiding unnecessary clutter and ensuring a clean workspace.
How It Works:
It calculates the relevant step sizes based on the price:
Smaller step sizes for lower-priced stocks.
Larger step sizes for higher-priced stocks.
Primary, secondary, and (if applicable) tertiary levels are plotted dynamically:
Primary Levels: The most granular levels based on the stock price.
Secondary Levels: Higher-order levels for broader significance.
Tertiary Levels: Additional levels for lower-priced stocks to enhance detail.
These levels are plotted across the chart, allowing traders to visualize key psychological areas effortlessly.
Use Cases:
Day Trading: Identify potential intraday support and resistance levels.
Swing Trading: Recognize key price zones where trends may pause or reverse.
Long-Term Investing: Gain insights into significant price zones for entry or exit strategies.
Marketsentiment
US Sentiment Index [CryptoSea]The US Sentiment Index is an advanced analytical tool designed for traders seeking to uncover patterns, correlations, and potential leading signals across key market tickers. This indicator surpasses traditional sentiment measures, providing a data-driven approach that offers deeper insights compared to conventional indices like the Fear and Greed Index.
Key Features
Multi-Ticker Analysis: Integrates data from a diverse set of market indicators, including gold, S&P 500, U.S. Dollar Index, Volatility Index, and more, to create a comprehensive view of market sentiment.
Customisable Sensitivity Settings: Allows users to adjust the moving average period to fine-tune the sensitivity of sentiment calculations, adapting the tool to various market conditions and trading strategies.
Detailed Sentiment Scaling: Utilises a 0-100 scale to quantify sentiment strength, with colour gradients that visually represent bearish, neutral, and bullish conditions, aiding in quick decision-making.
Below is an example where the sentiment index can give leading signals. We see a first sign of wekaness in the index as it drops below its moving average. Shortly after we see it dip below our median 50 level, another sign of weakeness. We see the SPX price action to take a hit following the sentiment index decrease.
Tickers Used and Their Impact on Sentiment
The impact of each ticker on sentiment can be bullish or bearish, depending on their behaviour:
Gold (USGD): Typically seen as a safe-haven asset, rising gold prices often indicate increased market fear or bearish sentiment. Conversely, falling gold prices can signal reduced fear and a shift towards bullish sentiment in riskier assets.
S&P 500 (SPX): A rising S&P 500 is usually a sign of bullish sentiment, reflecting confidence in economic growth and market stability. A decline, however, suggests bearish sentiment and a potential move towards risk aversion.
U.S. Dollar Index (DXY): A strengthening U.S. Dollar can be a sign of fear as investors seek safety in the dollar, which is bearish for risk assets. A weakening dollar, on the other hand, can signal bullish sentiment as capital flows into riskier assets.
Volatility Index (VIX): Known as the "fear gauge," a rising VIX indicates increased market fear and bearish sentiment. A falling VIX suggests a calm, bullish market environment.
Junk Bonds (JNK): Rising junk bond prices often reflect bullish sentiment as investors take on more risk for higher returns. Conversely, falling junk bond prices signal increased fear and bearish sentiment.
Long-Term Treasury Bonds (TLT): Higher prices for long-term treasuries usually indicate a flight to safety, reflecting bearish sentiment. Lower prices suggest a shift towards riskier assets, indicating bullish sentiment.
Financial Sector ETF (XLF): Strength in the financial sector is typically bullish, indicating confidence in economic conditions. Weakness in this sector can reflect bearish sentiment and concerns about financial stability.
Unemployment Rate (USUR): A rising unemployment rate is a bearish signal, indicating economic weakness. A declining unemployment rate is bullish, reflecting economic strength and job growth.
U.S. Interest Rates (USINTR, USIRYY): Higher interest rates can be bearish, as they increase borrowing costs and reduce spending. Lower rates are generally bullish, promoting economic growth and risk-taking.
How it Works
Sentiment Calculation: The US Sentiment Index combines data from multiple tickers, calculating sentiment by scaling the distance from their respective moving averages. Each asset's behaviour is interpreted within the context of market fear or greed, providing a refined sentiment reading that adjusts dynamically.
Market Strength Analysis: When the index is above 50 and also above its moving average, it indicates particularly strong or bullish market conditions, driven by greed. Conversely, when the index is below 50 and under its moving average, it signals bearish or weak market conditions, associated with fear.
Correlation and Pattern Detection: The indicator analyses correlations among the included assets to detect patterns that might signal potential market movements, giving traders a leading edge over simpler sentiment measures.
Adaptive Background Colouring: Utilises a colour gradient that dynamically adjusts based on sentiment values, highlighting extreme fear, neutral, and extreme greed levels directly on the chart.
Flexible Display Options: Offers settings to toggle the moving average plot and adjust its period, giving users the ability to tailor the indicator's sensitivity and display to their specific needs.
In this example below, we can see the Sentiment rise above the Moving Average (MA). Price action goes on to follow this, although there is an instance where it dips below the MA, it quickly rises back above again as a sign of strength.
Another way you can use this index is by simply using the MA, if its trending up, we know the macro sentiment is bullish.
Application
Data-Driven Insights: Offers traders a detailed, data-driven approach to sentiment analysis, incorporating a broad spectrum of market indicators to deliver actionable insights.
Pattern Recognition: Helps identify patterns and correlations that may lead to market reversals or continuations, providing a nuanced view that goes beyond simple sentiment gauges.
Enhanced Decision-Making: Equips traders with a robust tool to validate trading strategies and make informed decisions based on comprehensive sentiment analysis.
The US Sentiment Index by is an essential addition to the toolkit of any trader looking to navigate market complexities with precision and confidence. Its advanced features and data-driven approach offer unparalleled insights into market sentiment, setting it apart from conventional sentiment indicators.
Cumulative Net Money FlowDescription:
Dive into the financial depth of the markets with the "Cumulative Net Money Flow" indicator, designed to provide a comprehensive view of the monetary dynamics in trading. This tool is invaluable for traders and investors seeking to quantify the actual money entering or exiting the market over a specified period.
Features:
Value-Weighted Calculations: This indicator multiplies the trading volume by the price, offering a money flow perspective rather than just counting shares or contracts.
Custom Timeframe Adaptability: Adjust the timeframe to match your trading strategy, whether you are day trading, swing trading, or looking for longer-term trends.
Cumulative Insight: Tracks and accumulates net money flow to highlight overall market sentiment, making it easier to spot trends in capital movement.
Color-Coded Visualization: Displays positive money flow in green and negative money flow in red, providing clear, visual cues about market conditions.
Utility: "Cumulative Net Money Flow" is particularly effective in revealing the strength behind market movements. By understanding whether the money flow is predominantly buying or selling, traders can better align their strategies with market sentiment. This indicator is suited for various asset classes, including stocks, cryptocurrencies, and forex.
Market Internals: VolumeThe indicator plots the total volume of the NYSE and NASDAQ exchanges and identifies periods with significant asymmetry between Up Volume and Down Volume. It can be used as an additional tool to confirm broad market sentiment.
Chart shows Total Volume (TVOL) bars for SPY daily chart. Green bars for UVOL>>DVOL, Red for DVOL>>UVOL. Neutral bars are gray. Blue line shows median TVOL.
Rationale:
Up Volume (UVOL) and Down Volume (DVOL) represent the total volume of stocks that have increased or decreased in price, respectively, compared to the previous session's closing price. The magnitude of the price change is irrelevant.
When UVOL is significantly higher than DVOL, it indicates a prevailing buying sentiment in the broad market. Conversely, when DVOL is higher, it signals prevailing selling sentiment.
Occasionally, the UVOL/DVOL (VOLD) ratio may be misaligned with the movement of the S&P index. The picture below illustrates an example of a day when the S&P declined, yet the UVOL was twice larger than DVOL. Such a divergence can suggest that the S&P was pulled down by a decline in a few large-cap stocks, while the broader market remained positive. In this case, the divergence led to a continuation of the rally.
Thus, VOLD, when combined with volume analysis, can be an effective tool for confirming market trends.
Parameters:
VOLD Ratio – minimum ratio of UVOL/DVOL or DVOL/UVOL. Indicator will color code volume columns when condition is true (“green” means buying; “red” selling).
Median Length – number of periods to calculate median TVOL.
Show Divergencies – indicator marks divergencies between price and volume sentiments on the main chart. Only works for SPY chart.
Users can also choose which exchanges (NASDAQ/NYSE) to use for volume calculation.
Notes:
Volume is shown in millions of contracts
Indicator should be used on the daily or higher timeframes. It won't work properly on the intraday charts
Disclaimer
This indicator should not be used as a standalone tool to make trading decisions but only in conjunction with other technical analysis methods.
S&P Short-Range Oscillator**SHOULD BE USED ON THE S&P 500 ONLY**
The S&P Short-Range Oscillator (SRO), inspired by the principles of Jim Cramer's oscillator, is a technical analysis tool designed to help traders identify potential buy and sell signals in the stock market, specifically for the S&P 500 index. The SRO combines several market indicators to provide a normalized measure of market sentiment, assisting traders in making informed decisions.
The SRO utilizes two simple moving averages (SMAs) of different lengths: a 5-day SMA and a 10-day SMA. It also incorporates the daily price change and market breadth (the net change of closing prices). The 5-day and 10-day SMAs are calculated based on the closing prices. The daily price change is determined by subtracting the opening price from the closing price. Market breadth is calculated as the difference between the current closing price and the previous closing price.
The raw value of the oscillator, referred to as SRO Raw, is the sum of the daily price change, the 5-day SMA, the 10-day SMA, and the market breadth. This raw value is then normalized using its mean and standard deviation over a 20-day period, ensuring that the oscillator is centered and maintains a consistent scale. Finally, the normalized value is scaled to fit within the range of -15 to 15.
When interpreting the SRO, a value below -5 indicates that the market is potentially oversold, suggesting it might be a good time to start buying stocks as the market could be poised for a rebound. Conversely, a value above 5 suggests that the market is potentially overbought. In this situation, it may be prudent to hold on to existing positions or consider selling if you have substantial gains.
The SRO is visually represented as a blue line on a chart, making it easy to track its movements. Red and green horizontal lines mark the overbought (5) and oversold (-5) levels, respectively. Additionally, the background color changes to light red when the oscillator is overbought and light green when it is oversold, providing a clear visual cue.
By incorporating the S&P Short-Range Oscillator into your trading strategy, you can gain valuable insights into market conditions and make more informed decisions about when to buy, sell, or hold your stocks. However, always consider other market factors and perform your own analysis before making any trading decisions.
The S&P Short-Range Oscillator is a powerful tool for traders looking to gain insights into market sentiment. It provides clear buy and sell signals through its combination of multiple indicators and normalization process. However, traders should be aware of its lagging nature and potential complexity, and use it in conjunction with other analysis methods for the best results.
Disclaimer
The S&P Short-Range Oscillator is for informational purposes only and should not be considered financial advice. Trading involves risk, and you should conduct your own research or consult a financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this indicator. Use at your own risk.
Market Sentiment Technicals [LuxAlgo]The Market Sentiment Technicals indicator synthesizes insights from diverse technical analysis techniques, including price action market structures, trend indicators, volatility indicators, momentum oscillators, and more.
The indicator consolidates the evaluated outputs from these techniques into a singular value and presents the combined data through an oscillator format, technical rating, and a histogram panel featuring the sentiment of each component alongside the overall sentiment.
🔶 USAGE
The Market Sentiment Technicals indicator is a tool able to swiftly and easily gauge market sentiment by consolidating the individual sentiment from multiple technical analysis techniques applied to market data into a single value, allowing users to asses if the market is uptrending, consolidating, or downtrending.
The tool includes various components and presentation formats, each described in the sub-sections below.
🔹Indicators Sentiment Panel
The indicators sentiment panel provides normalized sentiment scores for each supported indicator, along with a synthesized representation derived from the average of all individual normalized sentiments.
🔹Market Sentiment Meter
The market sentiment meter is obtained from the synthesized representation derived from the average of all individual normalized sentiments. It allows users to quickly and easily gauge the overall market sentiment.
🔹Market Sentiment Oscillator
The market sentiment oscillator provides a visual means to monitor the current and historical strength of the market. It assists in identifying the trend direction, trend momentum, and overbought and oversold conditions, aiding in the anticipation of potential trend reversals.
Divergence occurs when there is a difference between what the price action is indicating and what the market sentiment oscillator is indicating, helping traders assess changes in the price trend.
🔶 DETAILS
The indicator employs a range of technical analysis techniques to interpret market data. Each group of indicators provides valuable insights into different aspects of market behavior.
🔹Momentum Indicators
Momentum indicators assess the speed and change of price movements, often indicating whether a trend is strengthening or weakening.
Relative Strength Index (RSI): Measures the magnitude of recent price changes to evaluate overbought or oversold conditions.
Stochastic %K: Compares the closing price to the range over a specified period to identify potential reversal points.
Stochastic RSI Fast: Combines features of Stochastic oscillators and RSI to gauge both momentum and overbought/oversold levels efficiently.
Commodity Channel Index (CCI): Measures the deviation of an asset's price from its statistical average to determine trend strength and overbought and oversold conditions.
Bull Bear Power: Evaluates the strength of buying and selling pressure in the market.
🔹Trend Indicators
Trend indicators help traders identify the direction of a market trend.
Moving Averages: Provides a smoothed representation of the underlying price data, aiding in trend identification and analysis.
Bollinger Bands: Consists of a middle band (typically a simple moving average) and upper and lower bands, which represent volatility levels of the market.
Supertrend: A trailing stop able to identify the current direction of the trend.
Linear Regression: Fits a straight line to past data points to predict future price movements and identify trend direction.
🔹Market Structures
Market Structures: Analyzes the overall pattern of price movements, including Break of Structure (BOS), Market Structure Shifts (MSS), also referred to as Change of Character (CHoCH), aiding in identifying potential market turning and continuation points.
🔹The Normalization Technique
The normalization technique employed for trend indicators relies on buy-sell signals. The script tracks price movements and normalizes them based on these signals.
normalize(buy, sell, smooth)=>
var os = 0
var float max = na
var float min = na
os := buy ? 1 : sell ? -1 : os
max := os > os ? close : os < os ? max : math.max(close, max)
min := os < os ? close : os > os ? min : math.min(close, min)
ta.sma((close - min)/(max - min), smooth) * 100
In this Pine Script snippet:
The variable os tracks market sentiment, taking a value of 1 for buy signals and -1 for sell signals, indicating bullish and bearish sentiments, respectively.
max and min are used to identify extremes in sentiment and are updated based on changes in os . When market sentiment shifts from buying to selling (or vice versa), max and min adjust accordingly.
Normalization is achieved by comparing current price levels to historical extremes in sentiment. The result is smoothed by default using a 3-period simple moving average. Users have the option to customize the smoothing period via the script settings input menu.
🔶 SETTINGS
🔹Generic Settings
Timeframe: This option selects the timeframe for calculating sentiment. If a timeframe lower than the chart's is chosen, calculations will be based on the chart's timeframe.
Horizontal Offset: Determines the distance at which the visual components of the indicator will be displayed from the primary chart.
Gradient Colors: Allows customization of gradient colors.
🔹Indicators Sentiment Panel
Indicators Sentiment Panel: Toggle the visibility of the indicators sentiment panel.
Panel Height: Determines the height of the panel.
🔹Market Sentiment Meter
Market Sentiment Meter: Toggle the visibility of the market sentiment meter (technical ratings in the shape of a speedometer).
🔹Market Sentiment Oscillator
Market Sentiment Oscillator: Toggle the visibility of the market sentiment oscillator.
Show Divergence: Enables detection of divergences based on the selected option.
Oscillator Line Width: Customization option for the line width.
Oscillator Height: Determines the height of the oscillator.
🔹Settings for Individual Components
In general,
Source: Determines the data source for calculations.
Length: The period to be used in calculations.
Smoothing: Degree of smoothness of the evaluated values.
🔹Normalization Settings - Trend Indicators
Smoothing: The period used in smoothing normalized values, where normalization is applied to moving averages, Bollinger Bands, Supertrend, VWAP bands, and market structures.
🔶 LIMITATIONS
Like any technical analysis tool, the Market Sentiment Technicals indicator has limitations. It's based on historical data and patterns, which may not always accurately predict future market movements. Additionally, market sentiment can be influenced by various factors, including economic news, geopolitical events, and market psychology, which may not be fully captured by technical analysis alone.
Multi-Frame Market Sentiment DashboardOverview
This Pine Script™ code generates a "Market Sentiment Dashboard" on TradingView, providing a visual summary of market sentiment across multiple timeframes. This tool aids traders in making informed decisions by displaying real-time sentiment analysis based on Exponential Moving Averages (EMA).
Key Features
Panel Positioning:
Custom Placement: Traders can position the dashboard at the top, middle, or bottom of the chart and align it to the left, center, or right, ensuring optimal integration with other chart elements.
Customizable Colors:
Sentiment Colors: Users can define colors for bullish, bearish, and neutral market conditions, enhancing the dashboard's readability.
Text Color: Customizable text color ensures clarity against various background colors.
Label Size:
Scalable Labels: Adjustable label sizes (from very small to very large) ensure readability across different screen sizes and resolutions.
Market Sentiment Calculation:
EMA-Based Sentiment: The dashboard calculates sentiment using a 9-period EMA. If the EMA is higher than two bars ago, the sentiment is bullish; if lower, it's bearish; otherwise, it's neutral.
Multiple Timeframes: Sentiment is calculated for several timeframes: 1 minute, 3 minutes, 5 minutes, 15 minutes, 30 minutes, 1 hour, 4 hours, and 1 day. This broad analysis provides a comprehensive view of market conditions.
Dynamic Table:
Structured Display: The dashboard uses a table to organize and display sentiment data clearly.
Real-Time Updates: The table updates in real-time, providing traders with up-to-date market information.
How It Works
EMA Calculation: The script requests EMA(9) values for each specified timeframe and compares the current EMA with the EMA from two bars ago to determine market sentiment.
Color Coding: Depending on the sentiment (Bullish, Bearish, or Neutral), the corresponding cell in the table is color-coded using predefined colors.
Table Display: The table displays the timeframe and corresponding sentiment, allowing traders to quickly assess market trends.
Benefits to Traders
Quick Assessment: Traders can quickly evaluate market sentiment across multiple timeframes without switching charts or manually calculating indicators.
Enhanced Visualization: The color-coded sentiment display makes it easy to identify trends at a glance.
Multi-Timeframe Analysis: Provides a broad view of short-term and long-term market trends, helping traders confirm trends and avoid false signals.
This dashboard enhances the overall trading experience by providing a comprehensive, customizable, and easy-to-read summary of market sentiment.
Usage Instructions
Add the Script to Your Chart: Apply the "Market Sentiment Dashboard" indicator to your TradingView chart.
Customize Settings: Adjust the panel position, colors, and label sizes to fit your preferences.
Interpret Sentiment: Use the color-coded table to quickly understand the market sentiment across different timeframes and make informed trading decisions.
Commitments of Traders Report [Advanced]This indicator displays the Commitment of Traders (COT) report data in a clear, table format similar to an Excel spreadsheet, with additional functionalities to analyze open interest and position changes. The COT report, published weekly by the Commodity Futures Trading Commission (CFTC), provides valuable insights into market sentiment by revealing the positioning of various trader categories.
Display:
Release Date: When the data was released.
Open Interest: Shows the total number of open contracts for the underlying instrument held by selected trader category.
Net Contracts: Shows the difference between long and short positions for selected trader category.
Long/Short OI: Displays the long and short positions held by selected trader category.
Change in Long/Short OI: Displays the change in long and short positions since the previous reporting period. This can highlight buying or selling pressure.
Long & Short Percentage: Displays the percentage of total long and short positions held by each category.
Trader Categories (Configurable)
Commercials: Hedgers who use futures contracts to manage risk associated with their underlying business (e.g., producers, consumers).
Non-Commercials (Large Speculators): Speculative traders with large positions who aim to profit from price movements (e.g., hedge funds, investment banks).
Non-Reportable (Small Speculators/Retail Traders): Smaller traders with positions below the CFTC reporting thresholds.
CFTC Code: If the indicator fails to retrieve data, you can manually enter the CFTC code for the specific instrument. The code for instrument can be found on CFTC's website.
Using the Indicator Effectively
Market Sentiment Gauge: Analyze the positioning of each trader category to gauge overall market sentiment.
High net longs by commercials might indicate a bullish outlook, while high net shorts could suggest bearish sentiment.
Changes in open interest and long/short positions can provide additional insights into buying and selling pressure.
Trend Confirmation: Don't rely solely on COT data for trade signals. Use it alongside price action and other technical indicators for confirmation.
Identify Potential Turning Points: Extreme readings in COT data, combined with significant changes in open interest or positioning, might precede trend reversals, but exercise caution and combine with other analysis tools.
Disclaimer
Remember, the COT report is just one piece of the puzzle. It should not be used for making isolated trading decisions. Consider incorporating it into a comprehensive trading strategy that factors in other technical and fundamental analysis.
Credit
A big shoutout to Nick from Transparent FX ! His expertise and thoughtful analysis have been a major inspiration in developing this COT Report indicator. To know more about this indicator and how to use it, be sure to check out his work.
Bubble Risk IndicatorThe Bubble Risk Indicator is a sophisticated tool designed to assess the potential risk level of a trading instrument by measuring its deviation from a 20-week Simple Moving Average (SMA). This dynamic indicator visually represents the deviation with a color-changing line, indicating the degree of risk based on the distance from the SMA.
🔷 Calculation
The indicator calculates the deviation from the 20-week SMA and expresses it as a percentage extension:
20-Week SMA : Averages the closing prices over the past 20 periods, providing a consistent measure of the long-term trend.
Deviation Percentage : Measures the percentage difference between the current closing price and the 20-week SMA.
🔷 Color Coding
The line changes color based on the deviation level to represent different risk levels. Users can customize these colors as per their preferences. However, the following are the default recommended settings:
Extreme Low Risk (Below 0) : Blue
Low Risk (Below 0) : Light Blue
Low Risk (Above 0) : Light Purple
Medium Risk : Orange
High Risk : Red
Colors transition smoothly to reflect the increasing or decreasing risk based on the deviation from the SMA.
🔷 Customization
Users have the flexibility to change the colors representing each risk level through the indicator settings. While the default colors are recommended for a standard view, users comfortable with custom color schemes can adjust according to their preference.
🔷 Usage
This indicator is beneficial for gauging the relative risk associated with current price movements compared to a historical average. It's most effective when used in conjunction with other technical analysis tools and market knowledge.
🔷 Limitations
While the Bubble Risk Indicator provides valuable insights, it should form part of a broader trading strategy. It assesses risk levels based on historical data and does not predict future market directions.
🔷 Conclusion
The Bubble Risk Indicator offers a nuanced and visually intuitive way to understand market risk levels, providing traders with an additional tool for informed decision-making.
🔷 Risk Disclaimer
Trading involves significant risk and is not suitable for every investor. The value of investments can fluctuate. Past performance is not indicative of future results. Always consider your circumstances and seek independent advice before making financial decisions. This indicator is provided for informational purposes only and is not intended as financial advice.
Developing Market Profile / TPO [Honestcowboy]The Developing Market Profile Indicator aims to broaden the horizon of Market Profile / TPO research and trading. While standard Market Profiles aim is to show where PRICE is in relation to TIME on a previous session (usually a day). Developing Market Profile will change bar by bar and display PRICE in relation to TIME for a user specified number of past bars.
What is a market profile?
"Market Profile is an intra-day charting technique (price vertical, time/activity horizontal) devised by J. Peter Steidlmayer. Steidlmayer was seeking a way to determine and to evaluate market value as it developed in the day time frame. The concept was to display price on a vertical axis against time on the horizontal, and the ensuing graphic generally is a bell shape--fatter at the middle prices, with activity trailing off and volume diminished at the extreme higher and lower prices."
For education on market profiles I recommend you search the net and study some profitable traders who use it.
Key Differences
Does not have a value area but distinguishes each column in relation to the biggest column in percentage terms.
Updates bar by bar
Does not take sessions into account
Shows historical values for each bar
While there is an entire education system build around Market Profiles they usually focus on a daily profile and in some cases how the value area develops during the day (there are indicators showing the developing value area).
The idea of trading based on a developing value area is what inspired me to build the Developing Market Profile.
🟦 CALCULATION
Think of this Developing Market Profile the same way as you would think of a moving average. On each bar it will lookback 200 bars (or as user specified) and calculate a Market Profile from those bars (range).
🔹Market Profile gets calculated using these steps:
Get the highest high and lowest low of the price range.
Separate that range into user specified amount of price zones (all spaced evenly)
Loop through the ranges bars and on each bar check in which price zones price was, then add +1 to the zones price was in (we do this using the OccurenceArray)
After it looped through all bars in the range it will draw columns for each price zone (using boxes) and make them as wide as the OccurenceArray dictates in number of bars
🔹Coloring each column:
The script will find the biggest column in the Profile and use that as a reference for all other columns. It will then decide for each column individually how big it is in % compared to the biggest column. It will use that percentage to decide which color to give it, top 20% will be red, top 40% purple, top 60% blue, top 80% green and all the rest yellow. The user is able to adjust these numbers for further customisation.
The historical display of the profiles uses plotchar() and will not only use the color of the column at that time but the % rating will also decide transparancy for further detail when analysing how the profiles developed over time. Each of those historical profiles is calculated using its own 200 past bars. This makes the script very heavy and that is why it includes optimisation settings, more info below.
🟦 USAGE
My general idea of the markets is that they are ever changing and that in studying that changing behaviour a good trader is able to distinguish new behaviour from old behaviour and adapt his approach before losing traders "weak hands" do.
A Market Profile can visually show a trader what kind of market environment we currently are in. In training this visual feedback helps traders remember past market environments and how the market behaved during these times.
Use the history shown using plotchars in colors to get an idea of how the Market Profile looked at each bar of the chart.
This history will help in studying how price moves at different stages of the Market Profile development.
I'm in no way an expert in trading Market Profiles so take this information with a grain of salt. Below an idea of how I would trade using this indicator:
🟦 SETTINGS
🔹MARKET PROFILING
Lookback: The amount of bars the Market Profile will look in the past to calculate where price has been the most in that range
Resolution: This is the amount of columns the Market Profile will have. These columns are calculated using the highest and lowest point price has been for the lookback period
Resolution is limited to a maximum of 32 because of pinescript plotting limits (64). Each plotchar() because of using variable colors takes up 2 of these slots
🔹VISUAL SETTINGS
Profile Distance From Chart: The amount of bars the market profile will be offset from the current bar
Border width (MP): The line thickness of the Market Profile column borders
Character: This is the character the history will use to show past profiles, default is a square.
Color theme: You can pick 5 colors from biggest column of the Profile to smallest column of the profile.
Numbers: these are for % to decide column color. So on default top 20% will be red, top 40% purple... Always use these in descending order
Show Market Profile: This setting will enable/disable the current Market Profile (columns on right side of current bar)
Show Profile History: This setting will enable/disable the Profile History which are the colored characters you see on each bar
🔹OPTIMISATION AND DEBUGGING
Calculate from here: The Market Profile will only start to calculate bar by bar from this point. Setting is needed to optimise loading time and quite frankly without it the script would probably exceed tradingview loading time limits.
Min Size: This setting is there to avoid visual bugs in the script. Scaling the chart there can be issues where the Market Profile extends all the way to 0. To avoid this use a minimum size bigger than the bugged bottom box
Liquidity Sentiment Profile [LuxAlgo]The Liquidity Sentiment Profile is an advanced charting tool that measures by combining PRICE and VOLUME data over specified anchored periods and highlights within a sequence of profiles the distribution of the liquidity and the market sentiment at specific price levels.
The Liquidity Sentiment Profile allows traders to reveal significant price levels, dominant market sentiment, support and resistance levels, supply and demand zones, liquidity availability levels, liquidity gaps, consolidation zones, and more based on price and volume data.
Liquidity refers to the availability of orders at specific price levels in the market, allowing transactions to occur smoothly.
🔶 USAGE
A Liquidity Sentiment Profile is a combination of a liquidity and a sentiment profile, where the right part of the profile displays the distribution of the traded activity at different price levels and the left part displays the market sentiment at those price levels.
The Liquidity Sentiment Profiles are visualized with different colors, where each color has a different meaning.
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)
🔶 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 Profiles
Anchor Period: The indicator resolution is set by the input of the Anchor Period, the default option is AUTO.
🔹 Liquidity Profile Settings
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 Settings
Sentiment Profile: Toggles the visibility of the Sentiment Profiles
Bullish Nodes: Color option for Bullish Nodes
Bearish Nodes: Color option for Bearish Nodes
🔹 Other Settings
Level of Significance: Toggles the visibility of the Level of Significance Line
Profile Price Levels: 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
🔶 LIMITATIONS
The amount of drawing objects that can be used is limited, as such using a high number of rows can display fewer historical profiles and occasionally incomplete profiles.
🔶 RELATED SCRIPTS
🔹 Buyside-Sellside-Liquidity
🔹 ICT-Concepts
🔹 Swing-Volume-Profiles
TICK Divergence + Heikin Ashi [Pt]This indicator identifies divergence between NYSE TICK and price, displays TICK in line, bar, or Heikin Ashi format, calculates various types of moving average lines and shows moving average crossovers.
What is TICK
NYSE TICK, also known as the TICK index, is a technical analysis indicator that shows the number of stocks on the New York Stock Exchange (NYSE) that are trading on an uptick or a downtick in a particular period of time. The TICK index is calculated by subtracting the number of stocks trading on a downtick from the number of stocks trading on an uptick. A reading of +1000 on the TICK index, for example, would indicate that there are 1000 more stocks trading on an uptick than on a downtick. The TICK index is often used as a measure of market sentiment, as it can provide insight into whether there is more buying or selling pressure in the market at a given time. A high TICK index reading may suggest that there is strong buying pressure, while a low TICK index reading may indicate that there is more selling pressure in the market.
The TICK index is usually very volatile, so this indicator is best suited for lower timeframes, such as 1 to 5 min charts.
Features
1) Shows bullish, bearish, hidden bullish and hidden bearish divergences
2) Three display modes for TICK data: Line, Bar, Heikin-Ashi
3) Plot various moving average lines and crossovers. Overall background
4) Configurable significant zones. Background colors will change based on closing TICK value.
Background ZonesThis script provides up to 5 zones to apply background colors. This is especially useful for applying to indices such as USI:TICK , USI:ADD , and USI:VOLD , where certain levels provides significant meaning to market sentiment and directions. This script will give you the visual cue to help with your trading.
All levels and colors are fully customizable.
Enjoy~!!
Example:
TICK Scalping strategy, SPY 1 min1 min chart scalping version of my other TICK strategy with adjusted parameters and additional entry and exit conditions better suited for 1 min SPY chart. Please refer to my original TICK strategy for explanation.
Important notes:
1. This strategy is designed for same day SPY option scalping on the 1 min chart . All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 6 weeks of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000. Pyramiding is set to 3.
2. This strategy works better with non-extended market data .
3. This strategy is mainly developed for SPY trading on 1 min chart, it probably will not be very profitable with other tickers or time frame without tweaking all the parameters first.
Cheers and enjoy~! Let's all make money~!!
TICK strategy for SPY optionsImportant notes:
1. This strategy is designed for same day SPY option scalping. All profit shown in back testing report is based on Profit/Loss (P/L) estimates from trading options with approximately 6 months of data. By default, it is set to 10 option contracts. By default the initial capital is set to $5000. Pyramiding is set to 3.
2. This strategy works better with non-extended market data.
3. This strategy is mainly developed for SPY trading on 5 min chart, it probably will not be very profitable with other tickers or time frame without tweaking all the parameters first.
4. This strategy will work with QQQ as well, but please adjust the profit multiplier to match the P/L of QQQ options.
How it works:
When trading the indices, many rely on the TICK for market directions. This strategy is a trend following strategy that uses a combination of conditions using the following indicators:
- TICK
- RSI
- VIX volatility index
- EMA
For entries, the conditions are:
1. TICK moving average crossover with a delayed signal line
2. Bullish or bearish RSI signal, RSI > 50 for bullish, < 50 for bearish
3. VIX must be above a certain threshold to take advantage of high market volatility
4. Price must be on top of EMA line for long, and below for short
For exits, there are 3 scenarios:
1. Stop loss set by a percentage of the daily ATR value
2. Trend changes on the TICK and the RSI
3. Bearish or bullish divergence on price with TICK
This strategy automatically signal to close all trades at 3:50 pm EST at the end of the day.
Extras:
- There is an option to show P/L for reinvesting profits
Enjoy~!!! Let's all make $$$
High Low Index SPY Top 40Modification from original code for "High Low Index" by © LonesomeTheBlue
- Made modification specifically for Top 40 AMEX:SPY holdings
- Added Market sentiment histogram (Total count green vs red), and SMA line for it
- Added arrows for peaks and dips on High Low Index and Market Sentiment MA
Idea behind this indicator is that SPY should follow the overall sentiment of its top holdings. I believe this bring great value to SPY traders.
Enjoy~!
Volume Profile and Volume Indicator by DGTVolume Profile (also known as Price by Volume) is an charting study that displays trading activity over a specified time period at specific price levels. It is plotted as a horizontal histogram on the finacial isntrumnet's chart that highlights the trader's interest at specific price levels.
The histogram is used by traders to predict areas of support and resistance. Price levels where the traded volume is high could be assumed as support and resistance levels.
Price may experience difficulty moving above or below areas with large bars. Usually there is a great deal of activity on both the buy and sell side and the market stays at that price level for a great deal of time
It is advised to use volume profile in conjunction with other forms of technical analysis to maximize the odds of success
Light version of Volume Profile is added to Price Action - Support & Resistance by DGT
Moving Average Suite + VWAP + TICKThis indicator combines some of the commonly used moving averages, VWAP, and TICK sentiment, all of which are useful for all types of trading
By default, this indicator includes:
- 21/50/100/200 period smoothed simple moving average
- great for determining trends
- also act as support / resistance line for price
- 9 period exponential moving average
- fast trend / direction indicator
- Volume Weighted Average Price
- no explanation required
- $TICK sentiment as background fill
- overall market sentiment and direction
- +/- 500 levels are colored green/red and are usually indication of institutional order flow --> critical for trading indexes such as SPY or QQQ
- deep green/red background indicates +/-1000 on the $TICK, which are usually associated with overbought or oversold
BTC Health (OHLC and TEMA)The "health" (ie, price trend) of Bitcoin has a major influence on the whole cryptocurrency market. Therefore, it can be useful to check the price and trend of BTC prior to entering a new position. This indicator displays BTC candles plus a fast & slow TEMA below the primary chart, so you can check how BTC is behaving.
BTC quote is from BINANCE, using the timeframe of the main chart. TEMA periods can be customized.
