Money Flow Profile [LuxAlgo]The Money Flow Profile is a charting tool that measures the traded volume or the money flow at all price levels on the market over a specified time period and highlights the relationship between the price of a given asset and the willingness of traders to either buy or sell it, allowing traders to reveal dominant and/or significant price levels and to analyze the trading activity of a particular user-selected range.
This tool combines a volume/money flow profile, a sentiment profile, and price levels, where the right side of the profile highlights the distribution of the traded activity/money flow at different price levels, the left side of the profile highlights the market sentiment at those price levels, and in the middle the price levels.
🔶 USAGE
A volume/money flow profile is an advanced charting tool that displays the traded volume/money flow at different price levels over a specific period. It helps traders visualize where the majority of trading activity/money flow has occurred.
A sentiment profile is a difference between buy and sell volume/money flow aiming to highlight the sentiment/dominance at specific price levels.
Each row of the profile presents figures on volume and money flow specific to price levels.
High volume/money flow nodes indicate areas of high activity and are likely to act as support or resistance in the future. They attract price and try to hold it there. Conversely, low-volume nodes are areas with low trading activity, that are less subject to get revisited by the price. The market often bounces right over these levels, not staying for long. The "Profile Heatmap" option of the script helps to better emphasize the trading activity within each areas.
By measuring the traded activity at each price level the script presents an ability to highlight the consolidation zones, in other words, highlights accumulation and distribution zones. When the price moves toward one end of the consolidation and volume pick up, it can foreshadow a potential breakout.
Level of Significance, Point of Control, Highest Sentiment Zone, and Profile Price levels are some of the other profile-related options available with the script.
🔶 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.
🔹 Profile Generic Settings
Lookback Length / Fixed Range: Sets the lookback length.
Profile Source: Sets the profile source, Volume, or Money Flow.
🔹 Profile Presentation Settings
Volume/Money Flow Profile: Toggles the visibility of the Volume/Money Flow Profile.
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 Profile.
Sentiment Polarity Method: Sets the method used to calculate the up/down volume/money flow.
Bullish Nodes: Color option for Bullish Nodes.
Bearish Nodes: Color option for Bearish Nodes.
🔹 Profile Heatmap Settings
Profile Heatmap: Toggles the visibility of the profile heatmap.
Heatmap Source: Sets the source of the profile heatmap, Volume/Money Flow Profile, or Sentiment Profile.
Heatmap Transparency: Control the transparency of the profile heatmap.
🔹 Other Presentation Settings
Level of Significance: Toggles the visibility of the level of significance line/zone.
Consolidation Zones: Toggles the visibility of the consolidation zones.
Consolidation Threshold, Color: Sets the threshold value and zone color.
Highest Sentiment Zone: Toggles the visibility of the highest bullish or bearish sentiment zone.
Profile Price Levels, Color, Size: Toggles the visibility of the profile price levels, and sets the color and the size of the level labels.
Profile Range Background Fill: Toggles the visibility of the profiles range.
🔹 Other Settings
Number of Rows: Specify how many rows each profile histogram will have.
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length
Profile Text Size: Alters the size of the text. Setting to Auto will keep the text within the box limits.
Profile Horizontal Offset: Enables to move profile in the horizontal axis.
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
Swing-Volume-Profiles
For more and other conceptual scripts you are kindly invited to visit LuxAlgo-Scripts .
Search in scripts for "Up down"
Multi-Timeframe Momentum Indicator [Ox_kali]The Multi-Timeframe Momentum Indicator is a trend analysis tool designed to examine market momentum across various timeframes on a single chart. Utilizing the Relative Strength Index (RSI) to assess the market’s strength and direction, this indicator offers a multidimensional perspective on current trends, enriching technical analysis with a deeper understanding of price movements. Other oscillators, such as the MACD and StochRSI, will be integrated in future updates.
Regarding the operation with the RSI: when its value is below 50 for a given period, the trend is considered bearish. Conversely, a value above 50 indicates a bullish trend. The indicator goes beyond the isolated analysis of each period by calculating an average of the displayed trends, based on user preferences. This average, ranging from “Strong Down” to “Strong Up,” reflects the percentage of periods indicating a bullish or bearish trend, thus providing a precise overview of the overall market condition.
Key Features:
Multi-Timeframe Analysis : Allows RSI analysis across multiple timeframes, offering an overview of market dynamics.
Advanced Customization : Includes options to adjust the RSI period, the RSI trend threshold, and more.
Color and Transparency Options : Offers color styles for bullish and bearish trends, as well as adjustable transparency levels for personalized visualization.
Average Trend Display : Calculates and displays the average trend based on activated timeframes, providing a quick summary of the current market state.
Flexible Table Positioning : Allows users to choose the indicator’s display location on the chart for seamless integration.
List of Parameters:
RSI Period : Defines the RSI period for calculation.
RSI Up/Down Threshold: Threshold for determining bullish or bearish trends of the RSI.
Table Position: Location of the indicator’s display on the chart.
Color Style : Selection of the color style for the indicator.
Strong Down/Up Color (User) : Customization of colors for strong market movements.
Table TF Transparency : Adjustment of the transparency level for the timeframe table.
Show X Minute/Hour/Day/Week Trend : Activation of the RSI display for specific timeframes.
Show AVG : Option to display or not the calculated average trend.
the Multi-Timeframe Momentum Indicator , stands as a comprehensive tool for market trend analysis across various timeframes, leveraging the RSI for in-depth market insights. With the promise of future updates including the integration of additional oscillators like the MACD and StochRSI, this indicator is set to offer even more robust analysis capabilities.
Please note that the MTF-Momentum is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
Asset capital flows - multi-timeframeIndicator for use on the any timeframe to show net capital flows into an asset of your choosing, to allow the user to track potential buy and selling pressure.
Net volume is derived from lower timeframe data (5 minute chart by default for daily timeframe) and multiplied by the average price for the same LTF period (defined by the mean of the high, low + close values). This gives the net capital inflow or outflow for the asset per bar. The cumulative sum of all previous bars is also calculated each period/day and available to be plotted as a line chart.
This might be preferred to other similar indicators as it uses low time frame bars to calculate the up/down volumes and price, thus accuracy is improved.
It should be borne in mind that the values of capital flows displayed are specific to the asset and the volume/price feed origin (ie the listed exchange used), and thus correlated with the total underlying flows, but there are other external factors influencing the volume/price data feed beyond the buy/sell volume of the specified exchange (such as spot and futures trading on other locations/exchanges)
(CF|360) Caruso Financial DashboardThe Caruso Financial 360 Dashboard (CF|360) revolutionizes your TradingView charts by seamlessly integrating comprehensive Fundamental, Statistical, Technical, Performance, and Event information into an intuitively organized dashboard. This empowers users to make informed investment decisions effortlessly, eliminating the need to switch between pages or applications.
The dashboard is strategically divided into five distinct sections, each color-coded for user-friendly navigation. A quick glance at the dark blue "Fundamentals" table reveals two years of quarterly EPS and Sales data, YoY % change, and Surprise %, complete with report dates. Users can explore eight years of annual data and choose between Non-GAAP EPS, Diluted EPS, and Basic EPS for versatile analysis. Opting for Non-GAAP EPS also unveils next quarter estimates. The Fundamentals section further encompasses P/E and P/S data, alongside TTM dividend and dividend yield information.
In the yellow "Extended Fundamentals" section, users gain insights into Gross, EBITDA, and Net margins for easy profitability comparisons within the same industry group. Return on Equity data and Free Cashflow per share provide perspectives on profitability, efficiency, and financial flexibility.
The light blue "Statistics" section furnishes essential statistical measures for a rapid grasp of a company's trading characteristics. Metrics such as Market Cap, Average Volume per day (Shares and $ value), VWAP, Up/Down volume ratio, ATR%, Alpha, Beta, Shares Outstanding & Float, 52-week High/Low, and % distance from the 52-week high are presented. Additionally, market breadth is depicted through Nasdaq and NYSE 52-week high/low data.
The purple "Technical & Performance" section seamlessly integrates both Technical Analysis data and Performance statistics, enabling users to assess the stock's technical context and performance against the market over different periods. Technical indicators, including three customizable moving average types, RSI, ADX, Bollinger Band, Keltner Band, and daily and weekly closing ranges, are featured.
The grey top "Events" section offers a quick overview of the next earnings release date, countdown, and associated color changes as the date approaches. Company name, sector, and industry details are also presented.
To enhance information visibility, record EPS and Sales data are highlighted, emphasizing new records, along with highlights for new 52-week highs and lows.
The CF|360 offers customization options , including three display styles for Desktops, Desktop Slim, and Mobile devices.
Users can also tailor the lengths of technical indicators to suit their preferences. International market enthusiasts will appreciate that the CF|360 provides financial and market data for various regions, including the US, EU, Canada, and beyond.
88 Metrics Included:
Fundamentals Section (Dark Blue Group)
EPS (Adjusted Non-GAAP, Diluted, Basic)
- Quarterly, YoY % Chg, Surprise, Report Date, Next Quarter Estimate (Adjusted EPS only)
- Annual, YoY % Chg
Sales
- Quarterly, YoY % Chg, Surprise, Report Date, Next Quarter Estimate
- Annual, YoY % Chg
P/E ratio
P/S ratio
Dividend TTM
Dividend TTM Yield
Fundamentals Extended (Yellow Group)
Gross Margin
EBITDA Margin
Net Margin
Return on Equity (ROE)
Free Cashflow per Share (FCFPS)
Debt to Equity (Debt)
Effective Interest Rate (Int Rate)
Statistics (Light Blue Group)
Market Cap
Average Daily Volume (Shares)
Average Daily Volume (Dollar Value)
VWAP (Daily)
Average True Range Percent
Shares Outstanding
Shares in Float
Percentage of Share in Float
52-Week High
52-Week Low
% off of 52-Week High
Up / Down Volume Ratio
Beta
Alpha
Nasdaq Net 52-Week High/Lows
Nasdaq 52-Week Highs
Nasdaq 52-Week Lows
NYSE Net 52-Week High/Lows
NYSE 52-Week Highs
NYSE 52-Week Lows
Technical & Performance (Purple Group)
Moving Average Value (3 different averages)
Distance from Moving Average (3 different averages)
Relative Strength Index (RSI)
Average Directional Index (ADX)
Bollinger Band Value (Upper/Lower)
%b
Keltner Band Value (Upper/Lower)
%k
Percentage Changes Since Today’s Open
Daily Closing Range (DCR)
Weekly Closing Range (WCR)
Current Week % Change
1 Month % Change
3 Month % Change
6 Month % Change
1 Year % Change
3 Year % Change
YTD % Change
S&P 500 YTD % Change
Name, Group, & Events (Grey Section)
Company Name
Sector
Industry
Next Earnings Date
Days Until Next Earnings Date
Event Highlights
Record EPS (Quarterly/Annual)
Record Sales (Quarterly/Annual)
52-Week High
52-Week Low
Layout Types
Desktop
Get the full experience with the Desktop view.
Desktop Slim
Save screen real estate with a slim version of the dashboard.
Mobile
Take the most vital metrics with you on your mobile device. For the best experience, view in landscape mode.
Periodic Volume Profile++ [Pt]█ Introduction
The Advanced Pro ++ Version of the Periodic Volume Profile is an advanced TradingView indicator, designed for traders focusing on volume-driven strategies. It provides detailed volume distribution and key levels over selected periods with extensive customization options.
█ Features Overview
Highly customizable and versatile, this tool is essential for a trader's toolkit, offering a variety of settings to suit specific trading needs.
█ Volume Profile
Display Modes: Four options - Off, Total, Up/Down, Gradient.
POC Highlighting: Option to highlight the Point of Control (POC) VP histogram bar.
VP Bar Size Control: Customize the number of ticks per VP bar, including a 'use min tick' option.
Volume Display: Show volume figures on the profile.
Developing VP Color Theme: Different color themes for developing VP.
█ Point of Control (POC)
Historical POCs: Display POCs from a specified number of past periods.
POC Levels: Auto-drawn levels indicating price, period, timeframe, and volume.
Color Customization: Separate color options for closest POCs, older POCs, and NPOCs (Naked POCs).
Closest Historical POC Display: Show nearest historical POC within a customizable range.
Low Volume POC Fading: Fade out low volume POC lines.
█ Value Area and Background Color
Display Options: Off, Custom Color, or Color based on Period Close vs. Open.
Customizable Colors: Tailor the color scheme as per preference.
Value Area High/Low Prices: Display options for VAH and/or VAL.
█ Extra Options
Periodic Candle Bar Display: Show candle bar for each period with customizable colors.
Previous POC, VAH, VAL Display: Display these levels in dashed lines.
The Advanced Pro ++ Volume Profile indicator is a top choice for traders seeking in-depth analysis of volume patterns and market structure, offering unparalleled customization and precision.
ATR TrendTL;DR - An average true range (ATR) based trend
ATR trend uses a (customizable) ATR calculation and highest high & lowest low prices to calculate the actual trend. Basically it determines the trend direction by using highest high & lowest low and calculates (depending on the determined direction) the ATR trend by using a ATR based calculation and comparison method.
The indicator will draw one trendline by default. It is also possible to draw a second trendline which shows a 'negative trend'. This trendline is calculated the same way the primary trendline is calculated but uses a negative (-1 by default) value for the ATR calculation. This trendline can be used to detect early trend changes and/or micro trends.
How to use:
Due to its ATR nature the ATR trend will show trend changes by changing the trendline direction. This means that when the price crosses the trendline it does not automatically mean a trend change. However using the 'negative trend' option ATR trend can show early trend changes and therefore good entry points.
Some notes:
- A (confirmed) trend change is shown by a changing color and/or moving trendline (up/down)
- Unlike other indicators the 'time period' value is not the primary adjustment setting. This value is only used to calculate highest high & lowest low values and has medium impact on trend calculation. The primary adjustment setting is 'ATR weight'
- Every settings has a tooltip with further explanation
- I added additional color coding which uses a different color when the trend attempts to change but the trend change isn't confirmed (yet)
- Default values work fine (at least in my back testing) but the recommendation is to adjust the settings (especially ATR weight) to your trading style
- You can further finetune this indicator by using custom moving average types for the ATR calculation (like linear regression or Hull moving average)
- Both trendlines can be used to determine future support and resistance zones
- ATR trend can be used as a stop loss finder
- Alerts are using buy/sell signals
- You can use fancy color filling ;)
Happy trading!
Daniel
Z-score changeAs a wise man once said that:
1. beginners think in $ change
2. intermediates think in % change
3. pros think in Z change
Here is the "Z-score change" indicator that calculates up/down moves normalized by standard deviation (volatility) displayed as bar chart with 1,2 and 3 stdev levels.
VIX Dashboard [NariCapitalTrading]Overview
This VIX Dashboard is designed to provide traders with a quick visual reference into the current volatility and trend direction of the market as measured by CBOE VIX. It uses statistical measures and indicators including Rate of Change (ROC), Average True Range (ATR), and simple moving averages (SMA) to analyze the VIX.
Components
ATR Period : The ATR Period is used to calculate the Average True Range. The default period set is 24.
Trend Period : This period is used for the Simple Moving Average (SMA) to determine the trend direction. The default is set to 48.
Speed Up/Down Thresholds : These thresholds are used to determine significant increases or decreases in the VIX’s rate of change, signaling potential market volatility spikes or drops. These are customizable in the input section.
VIX Data : The script fetches the closing price of the VIX from a specified source (CBOE:VIX) with a 60-minute interval.
Rate of Change (ROC) : The ROC measures the percentage change in price from one period to the next. The script uses a default period of 20. The period can be customized in the input section.
VIX ATR : This is the Average True Range of the VIX, indicating the daily volatility level.
Trend Direction : Determined by comparing the VIX data with its SMA, indicating if the trend is up, down, or neutral. The trend direction can be customized in the input section.
Dashboard Display : The script creates a table on the chart that dynamically updates with the VIX ROC, ATR, trend direction, and speed.
Calculations
VIX ROC : Calculated as * 100
VIX ATR : ATR is calculated using the 'atrPeriod' and is a measure of volatility.
Trend Direction : Compared against the SMA over 'trendPeriod'.
Trader Interpretation
High ROC Value : Indicates increasing volatility, which could signal a market turn or increased uncertainty.
High ATR Value : Suggests high volatility, often seen in turbulent market conditions.
Trend Direction : Helps in understanding the overall market sentiment and trend.
Speed Indicators : “Mooning” suggests rapid increase in volatility, whereas “Cratering” indicates a rapid decrease.
The interpretation of these indicators should be combined with other market analysis tools for best results.
ZenTrend Price CyclesZenTrend attempts to plot the cycles that occur as the price cycles between the top and bottom of long- and short-term price linear regression channels.
The indicator observes a fast (35-period) and a slow (100-period) linear regression channel and plots their slopes on an oscillator. When the slope of the fast channel crosses above or below the slope of the slow channel, a signal is plotted.
The red line is the slope of the fast channel; blue is the slope of the slow channel
A green dot and background indicates the slope of recent price action has crossed above the slope of long-term price action.
A red dot and background indicates the slope of recent price action has crossed below the slope of long-term price action.
A gray dot indicates the slope of recent price action is slowing. The difference between the long- and short-term slopes is narrowing.
Here are things I look for when observing price cycles
Where does the cross occur? Crosses high above or below the 'zero line' indicate a more extreme change in price channel slopes.
Flat line: crosses that occur while the lines are flat often indicate chop.
"Curve" of the line - a cross that occurs as the slope lines are starting to curve up/down indicates a sharper and more extreme change in price channel slope.
Catching Trend Reversals by shorting tops and buying bottomsHOLP (High of the low period) and LOHP (Low of the high period)
Catching Trend Reversals by shorting tops and buying bottoms
using this Swing High/Low Indicator
Trading Strategy comes from Mastering the Trade, by John Carter pg 300.
Trading Rules for Sells, Buys are reversed
1. Identifying a trending market, where today's price is making a 20-day high (17-18 day highs are also fine)
Note this is configurable by setting the trending period variable (defaults to 20)
For example if price is making a 20 period high or 20 period low, it will show a triangle up/down above the candle.
2. Identify the high bar in the uptrend
3. Go short once the price action closes below the low of this high bar
4. The initial stop is the high of the high bar.
5. If you are in the trade on the third day or period, use a 2 bar trailing stop.
You can check 2-bar trailing stop to draw the line, defaults to off.
Stop is indicated by the white dot.
Code Converted from TradeStation EasyLanguage
I can't find the original source anymore for the swing high/low plots, but if someone knows,
let me know and I'll credit here.
Analytics Trading DashboardThe Analytics Trading Dashboard is a tool designed to bring key information about a company into an easy-to-view dashboard. The indicator combines Company Info, Fundamental Data, Price & Volume Data, and Analyst Recommendations all into one table.
Let’s dive into the details by section:
Company Info:
Name – Company name.
Market Cap – Total dollar market value of the company’s outstanding shares of stock.
Float Shares / Shares Outstanding – Floating shares indicate the number of shares available for trading. Outstanding shares are any shares held by shareholders and company insiders.
Sector – The stock's sector.
Industry Group - The industry group the stock belongs to.
IPO Date – Date on which a security is first publicly traded.
Dividend – The latest dividend amount if the company pays one.
Fundamental Data:
EPS Due – The date the company is set to report earnings next.
EPS Est Next Qtr – The earnings per share estimate for the upcoming report.
EPS Est % Chg (Current Qtr) – The earnings growth as a percentage based on the reported earnings of the same quarter from the previous year.
EPS % Chg (Last Qtr) – The earnings growth of the last reported quarter as a percentage versus the same quarter from the previous year.
Last Qtr EPS Surprise – The amount reported earnings beat or missed estimates from the last reported quarter.
Last 3 Qtrs Avg. EPS Growth – The average percentage growth of the last 3 earnings reports.
# Qtrs of EPS Acceleration – The number of consecutive quarters that EPS has increased.
Last 3 Qtrs Avg. Rev Growth – The average percentage growth of the last 3 revenue numbers reported.
# Qtrs of Rev Acceleration – The number of consecutive quarters that revenue has increased.
Gross Margin – Measures gross profit compared to revenue as a percentage.
Debt/Equity Ratio – The ratio of debt to equity, or financial leverage.
Price and Volume Data:
52 Week High – The highest high of the last 52 weeks.
% Off 52 Week High – The percentage the current price has decreased from the 52-week high.
Price vs. Moving Average – The distance as a percentage that the current price is from the selected moving average.
Average Volume – The average number of shares traded based on the selected lookback period.
Average $ Volume – The average of the total value of shares traded based on the selected lookback period.
Pocket Pivots – The number of pocket pivots that have occurred in the selected lookback period.
Up/Down Volume Ratio - A 50-day ratio derived by dividing total volume on up days by the total volume on down days.
ATR – The average true range shown as a dollar value and percentage of current price.
ADR – The average daily range shown as a dollar value and percentage of current price.
Beta - Beta is a measure of its volatility relative to the overall market, indicating how much the stock's price is expected to fluctuate compared to the market average.
Analyst Ratings:
Strong Buy – The number of strong buy recommendations.
Buy – The number of buy recommendations.
Hold – The number of hold recommendations.
Sell – The number of sell recommendations.
Strong Sell – The number of strong sell recommendations.
The Analytics Trading Dashboard also comes with the flexibility to select your preferred moving average for price and volume analysis, as well as to choose the specific lookback period for calculating the Average True Range (ATR), Average Daily Range (ADR), and Pocket Pivots lookback period.
Cloud Channel Signals Indicator [Quantigenics]The Cloud Channel Signals script is a key element of the Cloud Channel Signal System. It primarily focuses on identifying breakout and reversal trades through a sophisticated cloud channel overlay. The script, designed for overlay on the price portion of charts, displays a “cloud-like” channel that signals potential breakout and reversal points around the candles/bars, offering insights into price movements, volatility, and potential support or resistance zones at the outer bands of the channel.
As with all of our scripts, the "Cloud Channel Signals" script, is designed to work on ANY symbol and time frame. The input parameters can be adjusted to fit your specific trading style.
Technical Composition :
Cloud Channel Construction : The Cloud Channel Signals Script is characterized by its innovative Cloud Channel, a proprietary formulation that advances beyond traditional channel calculations. This channel is not a mere adaptation of Bollinger Bands or Donchian Channels; it sets itself apart through a complex blend of calculations. While incorporating elements like standard deviation and high/low price ranges, it notably introduces EMA-based adjustments and integrates intricate mathematical models. This sophisticated algorithmic approach results in a channel that adeptly marks price extremes and dynamically adapts to market volatility and trend shifts. Enhanced by advanced statistical methods, the Cloud Channel offers nuanced insights into market behavior. Its configuration is based on specific range calculations derived from price fluctuations over a defined period, paired with an evolved standard deviation method. This results in a multifaceted analytical tool that surpasses typical channel indicators in depth and sophistication, providing traders with a comprehensive, nuanced view of support and resistance areas.
Signal Generation Mechanism :
> Breakout Signals :
The script identifies breakout signals by assessing price crossover relative to a dynamically constructed channel. This channel is derived from a blend of moving averages and price extremes over a specified period. Oscillator crossovers aid in confirming breakout signals. These crossovers are determined by comparing the oscillator line, calculated as a difference between a transformed moving average and a kernel estimation, with a signal line derived from an exponential moving average of the oscillator.
> Reversal Signals :
Reversal signals are generated through mathematical analysis of price proximity to the channel's edges, which are calculated using a combination of EMA (Exponential Moving Average) values and the highest/lowest price points within a given time frame. The oscillator's role in identifying reversals involves assessing its value relative to its historical range, which is dynamically adjusted based on market conditions.
Oscillator Dynamics :
The oscillator is constructed using a combination of rational quadratic and Gaussian kernel functions applied to close prices. The length parameter of the oscillator controls the window of these calculations, impacting its responsiveness. The dynamic level adjustment in the oscillator is based on a calculated average of its peak and trough values over a specified period, offering adaptive sensitivity.
Channel Gradient Smoothness :
The gradient smoothness of the channel is a function of the variance between the channel's upper and lower bounds. This is visually represented through color intensity changes, reflecting the level of volatility and market momentum.
Trend Bias Assessment :
Trend Bias is calculated using a combination of high/low averages and smoothed price data. This involves taking the average of the highest and lowest prices over a specified length, then applying an exponential moving average to this average for trend direction assessment. This mathematical assessment of trend direction complements the breakout and reversal signals by aligning them with the prevailing market trend.
How to Use the Cloud Channel Signals System :
Usage Considerations:
The script must be configured with precision to ensure it aligns with the trader’s strategy. This involves meticulous setting of channel lengths, oscillator parameters, and trend bias length. For effective application, it’s essential to synchronize the input parameters with the companion "Cloud Channel Indicators" script, ensuring a unified analytical perspective. The option to choose real-time vs. post-bar-closure signal generation offers flexibility in trading styles, catering to both aggressive and conservative trading approaches.
Integration with Cloud Channel Indicators script :
> Use the "Cloud Channel Signals" script alongside the "Cloud Channel Indicators" script for comprehensive market analysis. Ensure identical input parameters across both scripts for consistency.
> Note: The lower indicators are from the 'Cloud Channel Indicators' script, complementing the 'Cloud Channel Signals' script seen here, which generates the 'cloud' and signals on the price chart.
> The 'Cloud Channel Indicators” script can be found here:
Understanding On-Chart Signals :
The script displays entry signals directly on the chart, offering visual cues for both breakout and reversal trading opportunities. Traders can toggle the display of these signals for either breakout or reversal trades, allowing customization based on their trading strategy.
Identifying Entry Points :
> Breakout Trades : Enable 'Show Break Out Trades' to view signals where the price crosses the cloud channel, coupled with oscillator crossovers. A bullish breakout is indicated when the price crosses above the top channel, and a bearish breakout when it crosses below the bottom channel.
> Reversal Trades : Activate 'Show Reversal Trades' to identify potential reversal points. These are highlighted when the price rebounds from the cloud channel's edges, supported by oscillator and trend bias indicators.
Setting Stop Losses Using Outer Bands : Employ the outer bands of the cloud channel as dynamic stop-loss levels. Position stop losses below the lower band for long trades and above the upper band for short trades, adjusting as the bands shift with market conditions.
Executing and Managing Trades : Enter trades based on the script’s breakout or reversal signals, in line with your risk management rules.
Adjust stop-loss levels : Adjust stop-loss levels according to the outer band movements and exit the trade based on reversal signals or profit targets determined by significant support or resistance levels indicated by the cloud channel.
Customizable Alerts for Trading Efficiency :
Set up TradingView alerts to notify you of crucial trading signals like breakout or reversal opportunities, or when the price reaches critical levels defined by the cloud channel.
Adapting Strategy to Market Dynamics:
Input Parameter Settings :
Important Usage Guidance : For seamless integration with its counterpart, the "Cloud Channel Indicators" script, it's crucial to align the input parameter settings across both scripts. When adjusting values from their defaults, ensure that corresponding parameters in both scripts are identically set. This synchronization is key to achieving a cohesive and accurate representation on your charts.
Intra-Bar Order Generation (IntraBar) : Allows traders to choose if signals are generated within the current bar (real-time) or after the bar closes, providing flexibility in signal timing.
Show Break Out/Reversal Trades (BreakOutTrades, ReversalTrades) : Enables traders to toggle the visibility of specific trade types - breakout or reversal trades - on the chart.
Show Text Labels (ShowSignalLabels) : Option to display text labels for signals, enhancing the clarity and readability of the chart.
Inner/Outer Channel Length (InnerChannelLength, OutterChannelLength) : Sets the calculation periods for the inner and outer channels, affecting the sensitivity and responsiveness of the cloud channel.
Oscillator Length (OscillatorLength) : Determines the length for the precision oscillator calculation, impacting its sensitivity to market movements.
Top/Bottom Level (TopLevel, BottomLevel) : Establishes the upper and lower bounds for the oscillator, used to identify overbought and oversold conditions.
Use Dynamic Level (Dynamic_Level_OnOff) : Provides an option to use dynamic levels in the oscillator, for a more adaptive and responsive analysis.
Trend Bias Length (TrendBiasLength) : Adjusts the period for the Trend Bias calculation, crucial for understanding the overall market trend.
Top/Bottom Channel Color (TopChannelColor, BottomChannelColor) : Customization options for the color of the top and bottom channels.
Smoothness of The Gradient (Smoothness) : Controls the smoothness level of the channel's gradient, allowing for visual customization.
Alert Setting Guidance :
The script includes a versatile alert system for notifying traders of critical trading signals:
Breakout and Reversal Trade Alerts : These alerts are activated for breakout and reversal signals based on the script’s analysis, which can be crucial for timely entries and exits.
Custom Alert Conditions : Traders can set up alerts in TradingView’s system to get notified under specific conditions, like when a new signal (arrow up/down) appears on the chart, tailoring the alerts to their trading strategies.
The "Cloud Channel Signals " script offers a valuable tool for traders looking to capitalize on breakout and reversal opportunities. Its advanced channel and oscillator settings, combined with customizable alert options, make it a valuable addition to any trader's arsenal. Users are encouraged to explore these settings to fully leverage the script's capabilities, keeping in mind that trading involves risks and past performance does not guarantee future results. For optimal results, this script is designed to be used in conjunction with the "Cloud Channel Indicators .
You can see the “Author’s instructions" below to get immediate access to Cloud Channel Signals Indicators & the rest of the “Quantigenics Premium Indicator Suite”.
CBC FlipThis is an indicator for the Candle By Candle (CBC) Flip strategy as created by @MapleStax
It’s useful to traders because it’s a simple approach to gauge if bulls or bears are in control for any particular candle. The logic is as follows:
If the most recent candle close is above the previous candle high, then bulls are in control.
If the most recent candle close is below the previous candle low, then bears are in control.
If neither of these 2 conditions are met, then whoever was already in control remains in force until one of the 2 conditions is met and the sentiment is flipped, hence the name CBC Flip.
My script is original because there are no other CBC Flip scripts available on TV. This is the first, which is why I created it, to help other traders benefit from the power of CBC Flips.
The indicator output is simply interpreted as follows:
Triangle up = bulls in control
Triangle down = bears in control
In my experience this script is best used on the 5 or 10 minute time frames, as it helps to keep you in the trade for the bigger moves once a trend is established, while not getting shaken out from the “noisy” up/down candle price action of lower time frames like the 1 minute.
I’ve also had more success with this indicator when only taking long trades once the green triangle appears and price is above VWAP, and only taking short trades once the red triangle appears and price is below VWAP.
Time-itTime-it = Time based indicator
The Time-it indicator parses data by the day of week. Every tradeable instrument has its own personality. Some are more volatile on Mondays, and some are more bullish / bearish on Fridays or any day in between. The key metrics Time-it parses is range, open, high, low, close and +volume-.
The Time-it parsed data is printed in a table format. The table, position, size & color and text color & size can be changed to your preference. Each column parsed data is the last 10 which is numbered 0-9 which refers to the number of the selected day bars ago. For example: if Monday is chosen, 0 is the last closed Monday bar and 9 is the last closed Monday 9 Monday bars ago.
Range = measures the range between high and low for the day.
Open = is the opening price for the day.
High = is the high price for the day.
Low = is the low price for the day.
Close = is the closing price for the day.
+volume- = is the positive or negative volume for the day.
Default settings:
*Represents a how to use tooltip*
Source = ohlc4
* The source used for MA
MA length = 20
* The moving average used
Day bar color on / off
* checked on / unchecked off
Monday = blue
Tuesday = yellow
Wednesday = purple
Thursday = orange
Friday = white
Saturday = red
Sunday = green
Day M, T, W, TH, F, ST, SN.
* Parsed data for the day of week tables
Table, position, size & color:
Top, middle, bottom, left, center, right
* Table position on the chart.
Frame width & border width = 1
Text color and text size
Border color and frame color
Decimal place = 0
* example: use 0 for a round number, use 4 for Forex
*** The Time-it indicator uses parts and/or pieces of code from "Tradingview Up/Down Volume" and "Tradingview Financials on Chart".
Fisher+ [OSC]The Fisher Transform Indicator is classified as an oscillator, meaning that its value swings above and below a central point. This characteristic allows traders to identify overbought and oversold conditions, providing potential clues about market reversals. As mentioned previously, it is an oscillator so the strength of the move is displayed by how long the fisher line stays above/below zero. Indicator can be used to aid in confluence near supply/demand zones.
White Line = Fisher
Red/Blue Line = Moving Average
--Changes color whether fisher line is above/below the MA
Red/Blue Shaded Line = Moving Average
--Changes color based on a smoothing factor
Red/Blue Shaded Fill = Asset in Overbought/Oversold Conditions
Red/Blue Circles = Asset in Extreme Overbought/Oversold Conditions
Red/Blue Triangles = MACD Signals Below/Above "0"
Divergence Labels = Asset Signaling Divergence
The moving average line will turn red/blue as long as the fisher line is below/above the moving average. The shaded MA line will switch colors based on if it is moving in an up/down trend. The MA can also be used as a signal and treated similar to an oscillator. Market trending conditions will either keep the MA below/above the dashed zero line.
MACD code credited to LazyBear's MACD Leader indicator. It is used to filter out/confirm any signals such as divergences. As long as the MACD Leader line is above both the MACD line and signal lines then it'll signal with with a triangle. MACD divergences will be added at a later time.
Scoopy StacksWaffle Around Multiple
(Open, High, Low, Close) Stacks On
Pre/Post Market & (Daily, Weekly,
Monthly, Yearly) Sessions With
Meticulous Columns, Rows, Tooltips,
Colors, Custom Ideas, and Alerts.
Sessions Use Two Step Incremental Values
Default Value: (1) Shows Two Previous
(O, H, L, C); Increasing Value Swaps
Sessions With Next Two Stacks.
⬛️ KEY WORDS:
🟢 Crossover | 🔴 Crossunder
📗 High | 📕 Low
📔 Open | 📓 Close
🥇 First Idea | 🥈 Second Idea
🥉 Third Idea | 🎖️ Fourth Idea
🟥 ALERTS:
Default Option: (Per Bar)
Alerts Once Conditions Are Met
(Bar Close) Alerts When Bar Closes
Default Option: (Reg)
Alerts During Regular Market
Trading Hours, (0930-1600)
(Ext) Alerts During Extended
Market Hours, (1600-0930)
(24/7) Alerts All Day
Optional Preferences:
Regular Alerts - Stocks
Extended Alerts - Futures
24/7 Alerts - Crypto
🟧 STACKS:
Default Value: (1)
Incremental Stack Value, Increasing Value
Swaps Sessions With the Next Two Stacks
(✓) Swap Stacks?
Pre/Post Market High/Lows,
1-2 Day High/Lows, 1-2 Week High/Lows,
1-2 Month High/Lows, 1-2 Year High/Lows
( ) Swap Stacks?
Pre/Post Market Open/Close,
1-2 Day Open/Close, 1-2 Week Open/Close,
1-2 Month Open/Close, 1-2 Year Open/Close
🟨 EXAMPLES:
Default Stack:
🟢 | 📗 Pre Market High (PRE) | 4600.00
🔴 | 📕 Post Market Low (POST) | 420.00
Optional: (Open)
🟢 | 📔 Post Market Open (POST) | 4400.00
Optional: (Close)
🔴 | 📓 Pre Market Close (PRE) | 430.00
Default Stack Value: (1)
🔴 | 📗 1 Day High (1DH) | 460.00
Next Stack Value: (3)
🟢 | 📕 4 Day Low (4DL) | 420.00
Optional: (Open)
🔴 | 📔 2 Day Open (2DO) | 440.00
Optional: (Close)
🟢 | 📓 3 Day Close (3DC) | 430.00
Default Stack Value: (5)
🟢 | 📗 5 Week High (5WH) | 460.00
Next Stack Value: (7)
🔴 | 📕 8 Week Low (8WL) | 420.00
Optional: (Open)
🔴 | 📔 7 Week Open (7WO) | 4400.00
Optional: (Close)
🟢 | 📓 6 Week Close (6WC) | 430.00
Default Stack Value: (9)
🔴 | 📗 9 Month High (9MH) | 460.00
Next Stack Value: (11)
🟢 | 📕 12 Month Low (12ML) | 420.00
Optional: (Open)
🟢 | 📔 11 Month Open (11MO) | 4400.00
Optional: (Close)
🔴 | 📓 10 Month Close (10MC) | 430.00
Default Stack Value: (13)
🟢 | 📗 13 Year High (13YH) | 460.00
Next Stack Value: (15)
🟢 | 📕 16 Year Low (16YL) | 420.00
Optional: (Open)
🔴 | 📔 15 Year Open (15YO) | 4400.00
Optional: (Close)
🔴 | 📓 14 Year Close (14YC) | 430.00
🟩 TABLES:
Default Value: (1)
Moves Table Up, Down, Left, or Right
Based on Second Default Value
First Default Value: (Top Right)
Sets Table Placement, Middle Center
Allows Table To Move In All Directions
Second Default Value: (Default)
Fixed Table Position, Switching Values
Moves Direction of the Table
🟦 IDEAS:
(✓) Show Ideas?
Shows Four Ideas With Custom Texts
and Values; Ideas Are Based Around
Post-It Note Reminders with Alerts
Suggestions For Text Ideas:
Take Profit, Stop Loss, Trim, Hold,
Long, Short, Bounce Spot, Retest,
Chop, Support, Resistance, Buy, Sell
🟪 EXAMPLES:
Default Value: (5)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🥇)
Shown On First Table Cell and
Message Appearing On Alerts
Alert Shows: 🟢 | 🥇 | 5.00
Default Value: (10)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🥈)
Shown On Second Table Cell and
Message Appearing On Alerts
Alert Shows: 🔴 | 🥈 | 10.00
Default Value: (50)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🥉)
Shown On Third Table Cell and
Message Appearing On Alerts
Alert Shows: 🟢 | 🥉 | 50.00
Default Value: (100)
Shows the Custom Table Value For
Sorted Table Positions and Alerts
Default Text: (🎖️)
Shown On Fourth Table Cell and
Message Appearing On Alerts
Alert Shows: 🔴 | 🎖️ | 100.00
⬛️ REFERENCES:
Pre-market Highs & Lows on regular
trading hours (RTH) chart
By Twingall
Previous Day Week Highs & Lows
By Sbtnc
Screener for 40+ instruments
By QuantNomad
Daily Weekly Monthly Yearly Opens
By Meliksah55
Moving averages & clouds
Hi all!
This is a script that lets you have 3 moving averages (of a user defined type) and maybe have an alternative cloud (fill) between them. The cloud can be customized and turned on/off in the "style" tab for the indicator.
Alerts can be configured to fire on up/down/all crosses and are activated when the whole candle has crossed the morning average.
A higher time frame can be configured for the moving averages.
You can hide the moving average, but show the cloud:
You can have multiple clouds:
You can have moving averages from a higher time frame (here from weekly time frame on a daily chart):
Best of trading luck!
Tick Weighted Average Price RangesTick Weighted Average Price Ranges
Tick weighted average prices ( TiWAP ) are prices averaged from movements of TICK that break above or below configured sensitivity (500 default). The TiWAP indicator plots bands calculating various standard deviations from that averaged price that expand as the anchorage session progresses.
A core feature of TiWAP is the "Show Target Levels" feature which projects prior anchored ending deviation values as horizontal plots where price often reacts.
This feature has become increasingly critical to trade plan development with referencing a myriad of TiWAP timeframes and numerous deviations within and beyond the standard 1st, 2nd and 3rd deviation multipliers.
Thus the feature of plotting these prior anchored ending deviation values has been ported into a standalone indicator.
It's now incredibly simple to pick a timeframe, setup standard multipliers and then additional multipliers that can simply be chosen as applicators to the main multipliers.
Example Configuration
Anchorage: Weekly
Standard Multipliers 1st, 2nd and 3rd: 1.0, 2.0 and 3.0 respectively
1st Additional: -0.5
This would result in:
Standard Deviation 1st (1.0, -1.0) Upper, Lower
Additional Deviation 1st (0.5, -0.5) Upper, Lower
Standard Deviation 2nd (2.0, -2.0) Upper, Lower
Additional Deviation 2nd (1.5, -1.5) Upper, Lower
Standard Deviation 3rd (3.0, -3.0) Upper, Lower
Additional Deviation 3rd (2.5, -2.5) Upper, Lower
The aim is to have the "in-between" deviations without the need to use manual drawing tools to find potential areas of pivot, a complete range from the above example would then provide:
3.0, 2.5, 2.0, 1.5, 1.0, 0.5, Prev TiWAP, -0.5, -1.0, -1.5, -2.0, -2.5, -3.0
Usage
Use this to conduct multi-timeframe analysis of where price is relative to TiWAP ranges, review potential reversals at broad market extensions or perhaps trend continuation opportunities given full timeframe continuity (FTFC).
If utilizing higher timeframe anchorages such as quarterly, yearly then chart timeframe will need to scale up in order to allow for proper calculations to run within the 5000 lookback limitations of TradingView.
The higher chart timeframes also may benefit from higher sensitivity settings, such as 1000 on 15m chart and yearly anchorage.
Markets
As TICK tracks up/down tick movement of NYSE/NASDAQ, this indicator should be focused on stocks that closely track those markets. TICK data is only available during RTH so it's recommended to leave ETH off and set anchorage to RTH only when using session timeframe.
[Excalibur] Ehlers AutoCorrelation Periodogram ModifiedKeep your coins folks, I don't need them, don't want them. If you wish be generous, I do hope that charitable peoples worldwide with surplus food stocks may consider stocking local food banks before stuffing monetary bank vaults, for the crusade of remedying the needs of less than fortunate children, parents, elderly, homeless veterans, and everyone else who deserves nutritional sustenance for the soul.
DEDICATION:
This script is dedicated to the memory of Nikolai Dmitriyevich Kondratiev (Никола́й Дми́триевич Кондра́тьев) as tribute for being a pioneering economist and statistician, paving the way for modern econometrics by advocation of rigorous and empirical methodologies. One of his most substantial contributions to the study of business cycle theory include a revolutionary hypothesis recognizing the existence of dynamic cycle-like phenomenon inherent to economies that are characterized by distinct phases of expansion, stagnation, recession and recovery, what we now know as "Kondratiev Waves" (K-waves). Kondratiev was one of the first economists to recognize the vital significance of applying quantitative analysis on empirical data to evaluate economic dynamics by means of statistical methods. His understanding was that conceptual models alone were insufficient to adequately interpret real-world economic conditions, and that sophisticated analysis was necessary to better comprehend the nature of trending/cycling economic behaviors. Additionally, he recognized prosperous economic cycles were predominantly driven by a combination of technological innovations and infrastructure investments that resulted in profound implications for economic growth and development.
I will mention this... nation's economies MUST be supported and defended to continuously evolve incrementally in order to flourish in perpetuity OR suffer through eras with lasting ramifications of societal stagnation and implosion.
Analogous to the realm of economics, aperiodic cycles/frequencies, both enduring and ephemeral, do exist in all facets of life, every second of every day. To name a few that any blind man can naturally see are: heartbeat (cardiac cycles), respiration rates, circadian rhythms of sleep, powerful magnetic solar cycles, seasonal cycles, lunar cycles, weather patterns, vegetative growth cycles, and ocean waves. Do not pretend for one second that these basic aforementioned examples do not affect business cycle fluctuations in minuscule and monumental ways hour to hour, day to day, season to season, year to year, and decade to decade in every nation on the planet. Kondratiev's original seminal theories in macroeconomics from nearly a century ago have proven remarkably prescient with many of his antiquated elementary observations/notions/hypotheses in macroeconomics being scholastically studied and topically researched further. Therefore, I am compelled to honor and recognize his statistical insight and foresight.
If only.. Kondratiev could hold a pocket sized computer in the cup of both hands bearing the TradingView logo and platform services, I truly believe he would be amazed in marvelous delight with a GARGANTUAN smile on his face.
INTRODUCTION:
Firstly, this is NOT technically speaking an indicator like most others. I would describe it as an advanced cycle period detector to obtain market data spectral estimates with low latency and moderate frequency resolution. Developers can take advantage of this detector by creating scripts that utilize a "Dominant Cycle Source" input to adaptively govern algorithms. Be forewarned, I would only recommend this for advanced developers, not novice code dabbling. Although, there is some Pine wizardry introduced here for novice Pine enthusiasts to witness and learn from. AI did describe the code into one super-crunched sentence as, "a rare feat of exceptionally formatted code masterfully balancing visual clarity, precision, and complexity to provide immense educational value for both programming newcomers and expert Pine coders alike."
Understand all of the above aforementioned? Buckle up and proceed for a lengthy read of verbose complexity...
This is my enhanced and heavily modified version of autocorrelation periodogram (ACP) for Pine Script v5.0. It was originally devised by the mathemagician John Ehlers for detecting dominant cycles (frequencies) in an asset's price action. I have been sitting on code similar to this for a long time, but I decided to unleash the advanced code with my fashion. Originally Ehlers released this with multiple versions, one in a 2016 TASC article and the other in his last published 2013 book "Cycle Analytics for Traders", chapter 8. He wasn't joking about "concepts of advanced technical trading" and ACP is nowhere near to his most intimidating and ingenious calculations in code. I will say the book goes into many finer details about the original periodogram, so if you wish to delve into even more elaborate info regarding Ehlers' original ACP form AND how you may adapt algorithms, you'll have to obtain one. Note to reader, comparing Ehlers' original code to my chimeric code embracing the "Power of Pine", you will notice they have little resemblance.
What you see is a new species of autocorrelation periodogram combining Ehlers' innovation with my fascinations of what ACP could be in a Pine package. One other intention of this script's code is to pay homage to Ehlers' lifelong works. Like Kondratiev, Ehlers is also a hardcore cycle enthusiast. I intend to carry on the fire Ehlers envisioned and I believe that is literally displayed here as a pleasant "fiery" example endowed with Pine. With that said, I tried to make the code as computationally efficient as possible, without going into dozens of more crazy lines of code to speed things up even more. There's also a few creative modifications I made by making alterations to the originating formulas that I felt were improvements, one of them being lag reduction. By recently questioning every single thing I thought I knew about ACP, combined with the accumulation of my current knowledge base, this is the innovative revision I came up with. I could have improved it more but decided not to mind thrash too many TV members, maybe later...
I am now confident Pine should have adequate overhead left over to attach various indicators to the dominant cycle via input.source(). TV, I apologize in advance if in the future a server cluster combusts into a raging inferno... Coders, be fully prepared to build entire algorithms from pure raw code, because not all of the built-in Pine functions fully support dynamic periods (e.g. length=ANYTHING). Many of them do, as this was requested and granted a while ago, but some functions are just inherently finicky due to implementation combinations and MUST be emulated via raw code. I would imagine some comprehensive library or numerous authored scripts have portions of raw code for Pine built-ins some where on TV if you look diligently enough.
Notice: Unfortunately, I will not provide any integration support into member's projects at all. I have my own projects that require way too much of my day already. While I was refactoring my life (forgoing many other "important" endeavors) in the early half of 2023, I primarily focused on this code over and over in my surplus time. During that same time I was working on other innovations that are far above and beyond what this code is. I hope you understand.
The best way programmatically may be to incorporate this code into your private Pine project directly, after brutal testing of course, but that may be too challenging for many in early development. Being able to see the periodogram is also beneficial, so input sourcing may be the "better" avenue to tether portions of the dominant cycle to algorithms. Unique indication being able to utilize the dominantCycle may be advantageous when tethering this script to those algorithms. The easiest way is to manually set your indicators to what ACP recognizes as the dominant cycle, but that's actually not considered dynamic real time adaption of an indicator. Different indicators may need a proportion of the dominantCycle, say half it's value, while others may need the full value of it. That's up to you to figure that out in practice. Sourcing one or more custom indicators dynamically to one detector's dominantCycle may require code like this: `int sourceDC = int(math.max(6, math.min(49, input.source(close, "Dominant Cycle Source"))))`. Keep in mind, some algos can use a float, while algos with a for loop require an integer.
I have witnessed a few attempts by talented TV members for a Pine based autocorrelation periodogram, but not in this caliber. Trust me, coding ACP is no ordinary task to accomplish in Pine and modifying it blessed with applicable improvements is even more challenging. For over 4 years, I have been slowly improving this code here and there randomly. It is beautiful just like a real flame, but... this one can still burn you! My mind was fried to charcoal black a few times wrestling with it in the distant past. My very first attempt at translating ACP was a month long endeavor because PSv3 simply didn't have arrays back then. Anyways, this is ACP with a newer engine, I hope you enjoy it. Any TV subscriber can utilize this code as they please. If you are capable of sufficiently using it properly, please use it wisely with intended good will. That is all I beg of you.
Lastly, you now see how I have rasterized my Pine with Ehlers' swami-like tech. Yep, this whole time I have been using hline() since PSv3, not plot(). Evidently, plot() still has a deficiency limited to only 32 plots when it comes to creating intense eye candy indicators, the last I checked. The use of hline() is the optimal choice for rasterizing Ehlers styled heatmaps. This does only contain two color schemes of the many I have formerly created, but that's all that is essentially needed for this gizmo. Anything else is generally for a spectacle or seeing how brutal Pine can be color treated. The real hurdle is being able to manipulate colors dynamically with Merlin like capabilities from multiple algo results. That's the true challenging part of these heatmap contraptions to obtain multi-colored "predator vision" level indication. You now have basic hline() food for thought empowerment to wield as you can imaginatively dream in Pine projects.
PERIODOGRAM UTILITY IN REAL WORLD SCENARIOS:
This code is a testament to the abilities that have yet to be fully realized with indication advancements. Periodograms, spectrograms, and heatmaps are a powerful tool with real-world applications in various fields such as financial markets, electrical engineering, astronomy, seismology, and neuro/medical applications. For instance, among these diverse fields, it may help traders and investors identify market cycles/periodicities in financial markets, support engineers in optimizing electrical or acoustic systems, aid astronomers in understanding celestial object attributes, assist seismologists with predicting earthquake risks, help medical researchers with neurological disorder identification, and detection of asymptomatic cardiovascular clotting in the vaxxed via full body thermography. In either field of study, technologies in likeness to periodograms may very well provide us with a better sliver of analysis beyond what was ever formerly invented. Periodograms can identify dominant cycles and frequency components in data, which may provide valuable insights and possibly provide better-informed decisions. By utilizing periodograms within aspects of market analytics, individuals and organizations can potentially refrain from making blinded decisions and leverage data-driven insights instead.
PERIODOGRAM INTERPRETATION:
The periodogram renders the power spectrum of a signal, with the y-axis representing the periodicity (frequencies/wavelengths) and the x-axis representing time. The y-axis is divided into periods, with each elevation representing a period. In this periodogram, the y-axis ranges from 6 at the very bottom to 49 at the top, with intermediate values in between, all indicating the power of the corresponding frequency component by color. The higher the position occurs on the y-axis, the longer the period or lower the frequency. The x-axis of the periodogram represents time and is divided into equal intervals, with each vertical column on the axis corresponding to the time interval when the signal was measured. The most recent values/colors are on the right side.
The intensity of the colors on the periodogram indicate the power level of the corresponding frequency or period. The fire color scheme is distinctly like the heat intensity from any casual flame witnessed in a small fire from a lighter, match, or camp fire. The most intense power would be indicated by the brightest of yellow, while the lowest power would be indicated by the darkest shade of red or just black. By analyzing the pattern of colors across different periods, one may gain insights into the dominant frequency components of the signal and visually identify recurring cycles/patterns of periodicity.
SETTINGS CONFIGURATIONS BRIEFLY EXPLAINED:
Source Options: These settings allow you to choose the data source for the analysis. Using the `Source` selection, you may tether to additional data streams (e.g. close, hlcc4, hl2), which also may include samples from any other indicator. For example, this could be my "Chirped Sine Wave Generator" script found in my member profile. By using the `SineWave` selection, you may analyze a theoretical sinusoidal wave with a user-defined period, something already incorporated into the code. The `SineWave` will be displayed over top of the periodogram.
Roofing Filter Options: These inputs control the range of the passband for ACP to analyze. Ehlers had two versions of his highpass filters for his releases, so I included an option for you to see the obvious difference when performing a comparison of both. You may choose between 1st and 2nd order high-pass filters.
Spectral Controls: These settings control the core functionality of the spectral analysis results. You can adjust the autocorrelation lag, adjust the level of smoothing for Fourier coefficients, and control the contrast/behavior of the heatmap displaying the power spectra. I provided two color schemes by checking or unchecking a checkbox.
Dominant Cycle Options: These settings allow you to customize the various types of dominant cycle values. You can choose between floating-point and integer values, and select the rounding method used to derive the final dominantCycle values. Also, you may control the level of smoothing applied to the dominant cycle values.
DOMINANT CYCLE VALUE SELECTIONS:
External to the acs() function, the code takes a dominant cycle value returned from acs() and changes its numeric form based on a specified type and form chosen within the indicator settings. The dominant cycle value can be represented as an integer or a decimal number, depending on the attached algorithm's requirements. For example, FIR filters will require an integer while many IIR filters can use a float. The float forms can be either rounded, smoothed, or floored. If the resulting value is desired to be an integer, it can be rounded up/down or just be in an integer form, depending on how your algorithm may utilize it.
AUTOCORRELATION SPECTRUM FUNCTION BASICALLY EXPLAINED:
In the beginning of the acs() code, the population of caches for precalculated angular frequency factors and smoothing coefficients occur. By precalculating these factors/coefs only once and then storing them in an array, the indicator can save time and computational resources when performing subsequent calculations that require them later.
In the following code block, the "Calculate AutoCorrelations" is calculated for each period within the passband width. The calculation involves numerous summations of values extracted from the roofing filter. Finally, a correlation values array is populated with the resulting values, which are normalized correlation coefficients.
Moving on to the next block of code, labeled "Decompose Fourier Components", Fourier decomposition is performed on the autocorrelation coefficients. It iterates this time through the applicable period range of 6 to 49, calculating the real and imaginary parts of the Fourier components. Frequencies 6 to 49 are the primary focus of interest for this periodogram. Using the precalculated angular frequency factors, the resulting real and imaginary parts are then utilized to calculate the spectral Fourier components, which are stored in an array for later use.
The next section of code smooths the noise ridden Fourier components between the periods of 6 and 49 with a selected filter. This species also employs numerous SuperSmoothers to condition noisy Fourier components. One of the big differences is Ehlers' versions used basic EMAs in this section of code. I decided to add SuperSmoothers.
The final sections of the acs() code determines the peak power component for normalization and then computes the dominant cycle period from the smoothed Fourier components. It first identifies a single spectral component with the highest power value and then assigns it as the peak power. Next, it normalizes the spectral components using the peak power value as a denominator. It then calculates the average dominant cycle period from the normalized spectral components using Ehlers' "Center of Gravity" calculation. Finally, the function returns the dominant cycle period along with the normalized spectral components for later external use to plot the periodogram.
POST SCRIPT:
Concluding, I have to acknowledge a newly found analyst for assistance that I couldn't receive from anywhere else. For one, Claude doesn't know much about Pine, is unfortunately color blind, and can't even see the Pine reference, but it was able to intuitively shred my code with laser precise realizations. Not only that, formulating and reformulating my description needed crucial finesse applied to it, and I couldn't have provided what you have read here without that artificial insight. Finding the right order of words to convey the complexity of ACP and the elaborate accompanying content was a daunting task. No code in my life has ever absorbed so much time and hard fricking work, than what you witness here, an ACP gem cut pristinely. I'm unveiling my version of ACP for an empowering cause, in the hopes a future global army of code wielders will tether it to highly functional computational contraptions they might possess. Here is ACP fully blessed poetically with the "Power of Pine" in sublime code. ENJOY!
7 consecutive closes above/below the 5-periodThis script looks for 7 consecutive closes above/below the 5-period SMA. The indicator is inspired by legendary trader Linda Raschke's work.
First are the two models for which the indicator was created, both inspired by Raschke:
1) Persistency of trend / Extended run setup.
Around 10-12 times per year we get a persistency of trend in instruments in general.
After 7 consecutive closes above/below the 5-period as price pulls back we can look to enter in the direction of the main trend as it moves up/down above/below 5 ma again. You should use price action trading to pinpoint the entries. Now try to hold this as long as possible. Way longer than you can percieve or think is possible. Up to 24-28 periods is what we are looking for in these cases.
2) Normal usage.
When the trend is not persistent, it is possible to use this as an oscillating signal, for a shorter term trade, where we can look for a short or long term reversal setup in price action.
3) I also use it at as a learning to see the swing trades clearer. You can also use it as a visual aid for developing new variances of the classic swing trading setup.
Read and listen to Linda Raschkes work to learn more.
TAPLOT Enhanced On Balance VolumePlease research more on your own the different ways you can use OBV, this post is not about the indicator itself but about the “enhancements” I coded on top of this volume indicator. But here is a quick overview:
The On-Balance Volume (OBV) indicator is a technical indicator that measures the flow of positive and negative volume. The indicator adds volume on days when the price rises and subtracts it on days when the price declines.
It's considered a leading indicator because volume often leads price. An up trending OBV line is an indication of institutional accumulation.
Enhancements:
1) Dots to indicate OBV line New High (NH) and New High Before Price (NHBP).
The look back period by default is set to 3 months but could be changed to 6 or 12 months from indicator setting.
An OBV line that is making NHBP increases success probabilities of a long trade setup.
2) The OBV line changes color depending on the Up/Down Volume Ratio to quickly visualize the intensity of buying and selling pressure.
Up/Down volume ratio of 1 and above indicates buying pressure. The higher the ration the more intense is the buying and visa versa.
Here is an example of SHOP from June 2021 that has the characteristics that increase the probability of this long setup being successful.
SHOP OBV turning Blue in May indicating buying pressure taking over.
While the stock was setting up (and pulling back in June), there was 6 NHBP dots indicating stock being accumulated.
You can also see how OBV line color goes from Blue (Buying pressure), to Cyan (Moderate buying pressure), to Green (Strong buying pressure) all while the setup is forming. Again, indicating stock being "quietly" accumulated.
Support and Resistance Backtester [SS]Hey everyone,
Excited to release this indicator I have been working on.
I conceptualized it as an idea a while ago and had to nail down the execution part of it. I think I got it to where I am happy with it, so let me tell you about it!
What it does?
This provides the user with the ability to quantify support and resistance levels. There are plenty of back-test strategies for RSI, stochastics, MFI, any type of technical based indicator. However, in terms of day traders and many swing traders, many of the day traders I know personally do not use or rely on things like RSI, stochastics or MFI. They actually just play the support and resistance levels without attention to anything else. However, there are no tools available to these people who want to, in a way, objectively test their identified support and resistance levels.
For me personally, I use support and resistance levels that are mathematically calculated and I am always curious to see which levels:
a) Have the most touches,
b) Have provided the most support,
c) Have provided the most resistance; and,
d) Are most effective as support/resistance.
And, well, this indicator answers all four of those questions for you! It also attempts to provide some way to support and resistance traders to quantify their levels and back-test the reliability and efficacy of those levels.
How to use:
So this indicator provides a lot of functionality and I think its important to break it down part by part. We can do this as we go over the explanation of how to use it. Here is the step by step guide of how to use it, which will also provide you an opportunity to see the options and functionality.
Step 1: Input your support and resistance levels:
When we open up the settings menu, we will see the section called "Support and Resistance Levels". Here, you have the ability to input up to 5 support and resistance levels. If you have less, no problem, simply leave the S/R level as 0 and the indicator will automatically omit this from the chart and data inclusion.
Step 2: Identify your threshold value:
The threshold parameter extends the range of your support and resistance level by a desired amount. The value you input here should be the value in which you would likely stop out of your position. So, if you are willing to let the stock travel $1 past your support and resistance level, input $1 into this variable. This will extend the range for the assessment and permit the stock to travel +/- your threshold amount before it counts it as a fail or pass.
Step 3: Select your source:
The source will tell the indicator what you want to assess. If you want to assess close, it will look at where the ticker closes in relation to your support and resistance levels. If you want to see how the highs and lows behave around the S/R levels, then change the source to High or Low.
It is recommended to leave at close for optimal results and reliability however.
Step 4: Determine your lookback length:
The lookback length will be the number of candles you want the indicator to lookback to assess the support and resistance level. This is key to get your backtest results.
The recommendation is on timeframes 1 hour or less, to look back 300 candles.
On the daily, 500 candles is recommended.
Step 5: Plot your levels
You will see you have various plot settings available to you. The default settings are to plot your support and resistance levels with labels. This will look as follows:
This will plot your basic support and resistance levels for you, so you do not have to manually plot them.
However, if you want to extend the plotted support and resistance level to visually match your threshold values, you can select the "Plot Threshold Limits" option. This will extend your support and resistance areas to match the designated threshold limits.
In this case on MSFT, I have the threshold limit set at $1. When I select "Plot Threshold Limits", this is the result:
Plotting Passes and Fails:
You will notice at the bottom of the settings menu is an option to plot passes and plot fails. This will identify, via a label overlaid on the chart, where the support and resistance failures and passes resulted. I recommend only selecting one at a time as the screen can get kind of crowded with both on. here is an example on the MSFT chart:
And on the larger timeframe:
The chart
The chart displays all of the results and counts of your support and resistance results. Some things to pay attention to use the chart are:
a) The general success rate as support vs resistance
Rationale: Support levels may act as resistance more often than they do support or vice versa. Let's take a look at MSFT as an example:
The chart above shows the 334.07 level has acted as very strong support. It has been successful as support almost 82% of the time. However, as resistance, it has only been successful 33% of the time. So we could say that 334 is a strong key support level and an area we would be comfortable longing at.
b) The number of touches:
Above you will see the number of touches pointed out by the blue arrow.
Rationale: The number of touches differs from support and resistance. It counts how many times and how frequently a ticker approaches your support and/or resistance area and the duration of time spent in that area. Whereas support and resistance is determined by a candle being either above or below a s/r area, then approaching that area and then either failing or bouncing up/down, the number of touches simply assesses the time spent (in candles) around a support or resistance level. This is key to help you identify if a level has frequent touches/consolidation vs other levels and can help you filter out s/r levels that may not have a lot of touches or are infrequently touched.
Closing comments:
So this is pretty much the indicator in a nutshell. Hopefully you find it helpful and useful and enjoy it.
As always let me know your questions/comments and suggestions below.
As always I appreciate all of you who check out, try out and read about my indicators and ideas. I wish you all the safest trades and good luck!
ICT Friday's Asian Range°This concept was engineered and taught by the Inner Circle Trader .
The goal of this script is to outline a potential draw on liquidity for the next trading week. It gives a parameter for ICT PD Arrays to be located above and below the marketplace and should be used in conjunction with the higher Timeframe Arrays as defined by ICT.
If there is a higher Timeframe array with a standard deviation confluence of the Friday Asian Range it is considered high probability for price to reach up/down to that level, and present a potential retracement or reversal.
The Asian Range is defined as the window of Time between 7PM to Midnight New York Time. In this case we will be only using the Friday's Asian Range which will take place on Thursday between these Times.
We have two ranges: a Body range made of the highest and lowest candle bodies, and a Wick range made by the highest and lowest candle wicks.
ICT teaches that we only want to apply this concept to the 5minute and 15minute chart.
THIS SCRIPT WILL NOT WORK ON ANY OTHER TIMEFRAME OUT OF THE BOX
Framework:
Visualization:
Example:
