Crypto 40 PulseCrypto 40 Pulse – Indicator Overview
The Crypto 40 Pulse is a market-tracking indicator designed to measure how many of up to 40 selected assets (initially the top 40 cryptocurrencies by market cap at the time of creation) are currently trading above a chosen Moving Average (MA). By default, it monitors popular crypto pairs, but you can customize it to track stocks, forex pairs, or any other assets you prefer.
How It Works
Symbol Selection & Customization
The indicator provides 40 slots, each representing a different asset.
You can enable or disable each symbol using checkboxes—disabled symbols are excluded from the calculation.
Moving Average Options
You can choose between SMA, EMA, WMA, or SMMA in the settings.
By default, the indicator uses a 200-period EMA, a widely used metric for identifying long-term trends.
Oscillator Logic
The script checks whether the closing price of each active symbol is above the selected Moving Average.
Every asset that meets this condition contributes +1 to the total count (countAbove).
This count is then displayed as an oscillator, ranging from 0 to the number of enabled assets.
Dynamic Overbought & Oversold Levels
The overbought threshold is set at 80% of enabled symbols, while the oversold threshold is at 20%.
A midline (50%) helps visualize the balance between bullish and bearish sentiment.
These levels adjust automatically based on the number of symbols enabled.
Who Can Use It?
While the indicator is preloaded with top 40 crypto assets, you can replace these with stocks, indices, forex pairs, or any other market symbols.
The time frame aligns with your chart—on a daily chart, for example, it evaluates each asset’s daily closing price against the selected MA.
Additional Notes
Free & Open-Source: You can use, study, and modify this script for non-commercial purposes.
Attribution: If you modify and share an updated version, please credit the original creator @PROTON_24
TradingView Limitations: Due to script constraints, only 40 symbols can be tracked at a time using request.security().
Final Thoughts
The Crypto 40 Pulse is a powerful tool for monitoring multi-asset market momentum. Customize it to fit your strategy and gain deeper insights into broader market trends!
Statistics
XRP/USD Binance 1h Signals Pro+Only to be Used on Specific 1h Chart of XRP/USD (Preference on binance)
Dynamic signals for the 1h XRP USD Chart.
Based on 1:2 Ratio
Sl = 5%
TP = 10%
No Break even or Trailing stops attacked which means if you follow your trades closely you can potentially maximize your total Equity.
Table adjusted so you can see previous resaults.
The most important thing. No repainting on signals.
All signals are triggered on the opening of the new bar based on the previous closed bar value. This means, price cannot change anymore its value thus signals once triggered, they are in place and stay there.
About 60-65% winrate in combination to the 1:2 ratio the final resaults will amawe you !
Attention! Only to be used on the 1 XRP/USD chart. The indicator is made for this specific pair on this specific timeframe.
Please do not mess up with the settings onless you are an advanced Pine Script Editor.
* Trade with care, let's all make money together
* This indicator is and always will be free
Global M2 10-Week Lead (for bitcoin prediction - all timeframes)Global M2 Money Supply 10-Week Lead.
Offset by 10 Weeks, works on all timeframes.
Mimics the indicator seen on Real Vision / Raoul Paul / Global Macro Investor.
For analysis of Bitcoin movement prediction.
Consecutive Up/Down DaysPlots consecutive up/down days. Can be useful to display alongside oversold/overbought oscillators to find reversal conditions.
Checklist IndicatorThe Checklist Indicator is a customizable tool designed to help traders maintain discipline and consistency by displaying a personalized checklist directly on their TradingView charts. Positioned unobtrusively in the top-right corner, this indicator allows users to define up to five checklist items, each accompanied by a status icon—either a green tick (✔) for completed tasks or a red cross (✖) for pending ones.
Key Features:
Customizable Appearance: Users can adjust the background and text colors to match their chart's theme, ensuring the checklist integrates seamlessly without causing distractions.
Dynamic Content: Each checklist item is user-defined, allowing traders to tailor the list to their specific strategies or routines.
Visual Status Indicators: The inclusion of color-coded icons provides a quick visual reference, enabling traders to assess their preparedness at a glance.
Compact Design: The indicator's small, square-shaped table is designed to convey essential information without occupying significant chart space.
Usage Notes:
Due to the current limitations of Pine Script, the checklist's interactivity is managed through the indicator's settings menu. Traders can mark items as completed or pending by toggling the corresponding options within the settings. This manual process encourages deliberate reflection on each checklist item, reinforcing disciplined trading practices.
Incorporating the Checklist Indicator into your trading routine can serve as a constant reminder of your strategic rules and procedures, helping to reduce impulsive decisions and promote a structured approach to market analysis.
Money Flow (MFI)The Money Flow (MFI) indicator is a custom tool that blends price action with volume analysis to help you assess market momentum. It calculates a Money Flow value by taking the difference between the close and open, normalized by the price range (high minus low), then multiplies this by a user-defined factor and smooths the result using a simple moving average. An offset is subtracted to set a zero reference, which helps you quickly determine if the indicator is in positive territory (suggesting bullish money flow) or negative territory (suggesting bearish money flow).
Market Snap Shot with Pine ScreenerMarket Snap Shot
The Market Snap Shot is a comprehensive technical analysis tool designed to track and display key price metrics across multiple timeframes, including daily, weekly, monthly, quarterly, and yearly data. This script provides a range of essential calculations for traders and investors, enabling them to assess price action, volatility, and market trends at a glance.
Features:
Daily Metrics: Includes the daily percentage change, closing range relative to the daily high/low.
Weekly Metrics: Tracks weekly open, close, range, and calculates week-to-date performance for a broader market view.
Monthly Metrics: Provides similar calculations for monthly price action, offering insights into monthly performance.
Quarter-to-Date (QTD): Displays performance for the current quarter, offering insights into quarterly price movements.
Year-to-Date (YTD): Calculates year-to-date price change, helping users track performance relative to the start of the year.
52-Week High/Low: Displays the current price's distance from the 52-week high and low, giving context to long-term price levels.
Usage:
Traders can use this screener to quickly assess the current market position and make informed decisions based on short-term and long-term trends.
Investors can leverage the 52-week and YTD metrics to gauge the overall strength of an asset in the market.
The tool is versatile for both active traders looking for real-time performance data and for those focusing on longer-term market trends.
Instructions:
This script displays multiple metrics such as percentage changes and range data for daily, weekly, monthly, quarterly, and yearly timeframes. It is designed to be used as a screener tool to assess price action and monitor performance across these key time periods.
Warning:
The "Market Snap Shot" does not provide buy or sell signals but rather serves as a performance tracking tool. Users are encouraged to use this data in conjunction with other technical and fundamental analysis tools.
Trend Detector [victhoreb]Trend Detector is a streamlined indicator that uses the Pearson correlation coefficient between the average price and time to determine market trends. It measures how closely price movement follows the progression of time over a user-defined period, providing a clear gauge of trend direction on a scale from -1 to 1.
How It Works:
The indicator calculates the correlation between price and time. A positive correlation means that as time advances, the price generally rises—signaling an uptrend. Conversely, a negative correlation indicates that the price tends to fall over time, highlighting a downtrend.
With its simple yet effective approach, Trend Detector offers traders an immediate visual and quantitative insight into prevailing market trends.
Ceres Trader NYSE Tick Indicator With Threshold AlertsThe Ceres Trader NYSE Tick Indicator provides real-time alerts for significant shifts in the NYSE Tick, empowering traders to identify potential overbought and oversold market conditions. It displays labels directly on the chart when the Tick reaches predefined thresholds, offering a clear and immediate visual representation of market sentiment.
Key Features:
Threshold-Based Alerts:
Highlights "High Tick" and "Low Tick" conditions when the Tick exceeds user-defined thresholds (default: 400 and -400).
Identifies "Extreme High Tick" and "Extreme Low Tick" conditions for more significant shifts (adjusted default: 800 and -800).
Visual Labels:
Displays colored labels directly on the price chart, indicating the type of Tick event and its value.
Green labels signal potential overbought conditions, while red labels indicate potential oversold conditions.
Low tick labels are placed below the price bar, and high tick labels are placed above the price bar for improved visibility.
Real-Time Data:
Utilizes the NYSE Tick symbol ("TICK") to provide up-to-the-minute market data.
User-Friendly Design:
Simple and intuitive design, suitable for traders of all experience levels.
How to Use:
Add the "Ceres Trader NYSE Tick Indicator with Threshold Alerts" to your TradingView chart.
Observe the colored labels that appear when the Tick reaches the specified thresholds.
Use these alerts to identify potential trading opportunities based on overbought or oversold market conditions.
Consider adjusting the threshold values within the indicator settings to align with your specific trading strategy.
TOP & Bottom FinderThis script is designed to help traders identify potential market tops and bottoms using RSI-based calculations and ATR-based support detection.
Key Features:
✅ Top Finder – Uses a customized RSI-based method to detect overbought conditions.
✅ Bottom Finder – Identifies potential bottoming areas based on RSI, ATR, and bullish rejection candles.
✅ Arrow Signals – Plots visual markers at potential reversal points.
This tool is ideal for traders looking to spot trend reversals and make informed trading decisions. 📈📉🚀
Global Liquidity Indicator in USDThis indicator aggregates the total central bank balance sheets and M2 money supply for the USA, Canada, China, European Union, Japan, and the UK, converting all values to USD and normalizing them to trillions for easy visualization. It plots three lines: Total Balance Sheet, Total M2, and Combined Total, providing a comprehensive view of global liquidity trends.
Key Features:
Dynamic Coloring: Customize line colors based on direction—green for upward trends, red for downward (or any colors you choose), with independent on/off toggles for each line.
Real-Time Currency Conversion: Uses live forex rates (e.g., USD/CNY, USD/EUR) for accurate USD conversions.
Trendline Break + Sentiment OscillatorFrank Batista Oscilator, trendline breaking buying and selling zones
TelegramEventsLibrary "TelegramEvents"
This library is a data provider of Tom's club telegram events
exhaustionBuyerEvents()
Gets telegram events 🟥🟥 Истощение покупателя
Returns: array
exhaustionSellerEvents()
Gets telegram events 🟩🟩🟩🟩🟩 Истощение продавца
Returns: array
longComboOneEvents()
Gets telegram events 🟢🟢🔵 LONG COMBO 1
Returns: array
longComboTwoEvents()
Gets telegram events 🟢🟢🔵 LONG COMBO 2
Returns: array
longComboThreeEvents()
Gets telegram events 🟢🟢🔵 LONG COMBO 3
Returns: array
shortComboOneEvents()
Gets telegram events 🔴🔴 SHORT Combo 1
Returns: array
shortComboOneOneEvents()
Gets telegram events 🔴🔴 SHORT Combo 1.1
Returns: array
shortComboTwoEvents()
Gets telegram events 🔴🔴 SHORT Combo 2
Returns: array
shortComboThreeEvents()
Gets telegram events 🔴🔴 SHORT Combo 2.1
Returns: array
buyerLimitAggressionEvents()
Gets telegram events 🟢🔵 Limit Aggression LONG
Returns: array
sellerLimitAggressionEvents()
Gets telegram events 🔴🔴 Limit Aggression SHORT
Returns: array
breakOut()
Gets telegram events 🟢🔵 Пробойный объем
Returns: array
Nirmal Fair Value GapsICT Fair Value Gaps
Trade Wisely
How a Fair Value Gap Works
Formation:
A Fair Value Gap occurs when a strong price movement (usually from institutional orders) creates an imbalance between buyers and sellers.
This is typically seen in a three-candle pattern, where the middle candle has a large body, and the two surrounding candles have wicks but little overlap with the middle candle’s range.
Identification:
The FVG is marked between the high of the first candle and the low of the third candle (for bullish gaps).
For bearish gaps, it’s the low of the first candle and the high of the third candle.
Market Behavior Around FVG:
Price often retraces into the gap before resuming its original direction.
This happens because the market seeks to "fill" the imbalance where few trades occurred.
Traders use FVGs as potential entry zones for trend continuation trades.
Trading Fair Value Gaps
In an Uptrend:
Look for bullish fair value gaps as potential support zones for buy entries.
Price may dip into the gap and then continue upward.
In a Downtrend:
Look for bearish fair value gaps as potential resistance zones for sell entries.
Price may retrace into the gap and then drop further.
Confluence Factors:
FVGs work best when combined with other strategies like order blocks, liquidity zones, or key Fibonacci levels.
Peter Lynch Value by TradingWiseЭтот скрипт вычисляет справедливую цену Peter Lynch (PLP) на основе коэффициента P/E и прибыли на акцию (EPS). Если справедливая цена выше текущей цены базового актива (БА), актив считается недооцененным (покупка). Если справедливая цена ниже текущей цены БА, актив считается переоцененным (продажа). Результаты отображаются на графике и в таблице.
Koala Capital Markets - FX Pair TradingPair Trading Indicator with 2 Pairs including correlation and Z-Score
Futures Open/High/Low TablesAdds (up to) 3 tables to a chart, displaying Open/High/Low data for today (RTH and extended hours), yesterday, and the current week / month -- to help with intraday analysis of a futures ticker.
The tables only appear on intraday charts (5min, 30min, etc). On a Daily/Weekly/etc chart they are not calculated or shown.
In addition to Open/High/Low, the "Current" table in the top-right shows a live measurement of # of points from the open, the RTH open, and the highs/lows.
Lastly, the 9:30am ET open and the 4pm RTH close are by default marked with a shaded background (on intraday charts) for easy visual reference, and also to help with adjusting the session time to accommodate time zone issues if they occur.
Tested on ES in Eastern Time Zone, but should work on any futures instrument and any time zone by adjusting the Session Time setting.
Celestial Pair Spread Hello friends, after a very long time!
Today, I tried to put into code an idea that came to my mind spontaneously and suddenly.
Note :
This script is experimental and improvable.
I haven't had a chance to try it yet.
TIMEFRAME : 1D (Daily Bars)
CELESTIAL SPREAD
The spread moves in a very limited area and is consistent within itself, especially on days far from the end of the contract.
That's why there is a reassuring sky atmosphere. That's why this name was given completely improvised.
Basic logic of the script
We enter the name of the CME Futures contract we want to enter:
Ex : CL1! , ES1! , ZC1! , NQ1!
The script creates us a pair trade parity divided into secondary contracts.
Example : ES1!/ES2!
What is pair trading?
I will explain briefly here.
For users who are wondering:
www.investopedia.com
Let's get back to our topic.
Now we have created a parity that does not actually exist.
This parity is the manifestation of the relative movements of two contracts.
When the parity rises, ES1! increased,ES2! has fallen.
In the opposite case, We can say: ES1! Contract has been dropped ES2! has increased.
Pair trading is generally a trade that needs to be kept in mind from time to time.
It is a method preferred by professionals who can process very quickly.
Market risk is minimal, but since 2 contracts are purchased, more money is paid and very low percentage profits are made.
It is very expensive to do pair trading, especially with oil and its derivatives and interest security derivatives.
The contract we are considering has micros. (small-item contracts tied to the same value)
So when we switch to our broker MES1!/MES2! We will trade.
For all CME futures :
www.cmegroup.com
Anyway, let's continue:
The script created the parity showing its relationship with the next contract and plotted it as bars.
Celestial bands are just like Bollinger bands, but they consist of 3 bands based on percentage changes rather than standard deviation.
The middle band is obtained from moving averages.
The upper and lower bands are the middle band subjected to a threshold value.
The threshold value can be changed.
0.15 percent was charged for this script.
CAUTION :
As can be seen in the example below;
The most important thing is not to make any transactions when the contract switch dates are approaching.
Therefore, it is recommended to use it just below the main chart.
The blue bars in the parity are
Values that outside the upper and lower threshold values are colored blue.
For this condition
Alerts has been added.
Don't forget to add alert and edit.
MAIN PURPOSE
It is aimed to start a pair trade when such conditions come and to quickly close the trades when the parity basis reaches the value.
OTHER IMPORTANT POINTS
Other issues are broker related issues.
Difference between initial margins and maintanence margins of contracts (between 1! and 2!)
It shouldn't be too high.
The commission should not be too high.
Leverage must be high because the profit percentage is very low.
To calculate leverage you must divide your contract size by the relevant margin requirement.
Sample margin requirement table:
www.interactivebrokers.com
RISKS
It is an experimental and intellectual script,
the risk of contract price differences (maybe it will not leave a profit except for very extreme values)
I remind you of the quickness risk that comes from a two-legged trade.
Alerts definitely synchronized with an audible alert sent to a smartphone as an e-mail notification and displayed on the locked screen for quick action.
Best regards!
DCSessionStatsOHLC_v1.0DCSessionStatsOHLC_v1.0
© dc_77 | Pine Script™ v6 | Licensed under Mozilla Public License 2.0
This indicator overlays customizable session-based OHLC (Open, High, Low, Close) statistics on your TradingView chart. It tracks price action within user-defined sessions, calculates average manipulation and distribution levels based on historical data, and visually projects these levels with lines and labels. Additionally, it provides a session count table to monitor bullish and bearish sessions.
Key Features:
Session Customization: Define session time (e.g., "0000-1600") and time zone (e.g., UTC, America/New_York). Analyze up to 20 historical sessions.
Anchor Line: Displays a vertical line at session start with customizable style, color, and optional label.
Session Open Line: Plots a horizontal line at the session’s opening price with adjustable appearance and label.
Manipulation Levels: Calculates and projects average price extensions (high/low relative to open) for manipulative moves, shown as horizontal lines with labels.
Distribution Levels: Displays average price ranges (high/low beyond open) for distribution phases, with customizable lines and labels.
Visual Flexibility: Adjust line styles (solid, dashed, dotted), colors, widths, label sizes, and projection offsets (bars beyond session start).
Session Stats Table: Optional table showing counts of bullish (close > open) and bearish (close < open) sessions, with configurable position and size.
How It Works:
Tracks OHLC data within each session and identifies session start/end based on the specified time range.
Computes averages for manipulation (e.g., low below open in bullish sessions) and distribution (e.g., high above open) levels from past sessions.
Projects these levels forward as horizontal lines, extending them by a user-defined offset for easy reference.
Updates a table with real-time bullish/bearish session counts.
Use Case:
Ideal for traders analyzing intraday or custom session behavior, identifying key price levels, and gauging market sentiment over time.
Toggle individual elements on/off and fine-tune visuals to suit your trading style.
SuperTrend + Relative Volume (Kernel Optimized)Introducing our new KDE Optimized Supertrend + Relative Volume Indicator!
This innovative indicator combines the power of the Supertrend indicator along with Relative Volume. It utilizes the Kernel Density Estimation (KDE) to estimate the probability of a candlestick marking a significant trend break or reversal.
❓How to Interpret the KDE %:
The KDE % is a crucial metric that reflects the likelihood that the current candlestick represents a true break in the SuperTrend line, supported by an increase in relative volume. It estimates the probability of a trend shift or continuation based on historical SuperTrend breaks and volume patterns:
Low KDE %: A lower probability that the current break is significant. Price action is less likely to reverse, and the trend may continue.
Moderate KDE - High KDE %: An increased possibility that a trend reversal or consolidation could occur. Traders should start watching for confirmation signals.
📌How Does It Work?
The SuperTrend indicator uses the Average True Range (ATR) to determine the direction of the trend and identifies when the price crosses the SuperTrend line, signaling a potential trend reversal. Here's how the KDE Optimized SuperTrend Indicator works:
SuperTrend Calculation: The SuperTrend indicator is calculated, and when the price breaks above (bullish) or below (bearish) the SuperTrend line, it is logged as a significant event.
Relative Volume: For each break in the SuperTrend line, we calculate the relative volume (current volume vs. the average volume over a defined period). High relative volume can suggest stronger confirmation of the trend break.
KDE Array Calculation: KDE is applied to the break points and relative volume data:
Define the KDE options: Bandwidth, Number of Steps, and Array Range (Array Max - Array Min).
Create a density range array using the defined number of steps, corresponding to potential break points.
Apply a Gaussian kernel function to the break points and volume data to estimate the likelihood of the trend break being significant.
KDE Value and Signal Generation: The KDE array is updated as each break occurs. The KDE % is calculated for the breakout candlestick, representing the likelihood of the trend break being significant. If the KDE value exceeds the defined activation threshold, a darker bullish or bearish arrow is plotted after bar confirmation. If the KDE value falls below the threshold, a more transparent arrow is drawn, indicating a possible but lower probability break.
⚙️Settings:
SuperTrend Settings:
ATR Length: The period over which the Average True Range (ATR) is calculated.
Multiplier: The multiplier applied to the ATR to determine the SuperTrend threshold.
KDE Settings:
Bandwidth: Determines the smoothness of the KDE function and the width of the influence of each break point.
Number of Bins (Steps): Defines the precision of the KDE algorithm, with higher values offering more detailed calculations.
KDE Threshold %: The level at which relative volume is considered significant for confirming a break.
Relative Volume Length: The number of historic candles used in calculating KDE %
DynamicMALibrary "DynamicMA"
Dynamic Moving Averages Library
Introduction
The Dynamic Moving Averages Library is a specialized collection of custom built functions designed to calculate moving averages dynamically, beginning from the first available bar. Unlike standard moving averages, which rely on fixed length lookbacks, this library ensures that indicators remain fully functional from the very first data point, making it an essential tool for analysing assets with short time series or limited historical data.
This approach allows traders and developers to build robust indicators that do not require a preset amount of historical data before generating meaningful outputs. It is particularly advantageous for:
Newly listed assets with minimal price history.
High-timeframe trading, where large lookback periods can lead to delayed or missing data.
By eliminating the constraints of fixed lookback periods, this library enables the seamless construction of trend indicators, smoothing functions, and hybrid models that adapt instantly to market conditions.
Comprehensive Set of Custom Moving Averages
The library includes a wide range of custom dynamic moving averages, each designed for specific analytical use cases:
SMA (Simple Moving Average) – The fundamental moving average, dynamically computed.
EMA (Exponential Moving Average) – Adaptive smoothing for better trend tracking.
DEMA (Double Exponential Moving Average) – Faster trend detection with reduced lag.
TEMA (Triple Exponential Moving Average) – Even more responsive than DEMA.
WMA (Weighted Moving Average) – Emphasizes recent price action while reducing noise.
VWMA (Volume Weighted Moving Average) – Accounts for volume to give more weight to high-volume periods.
HMA (Hull Moving Average) – A superior smoothing method with low lag.
SMMA (Smoothed Moving Average) – A hybrid approach between SMA and EMA.
LSMA (Least Squares Moving Average) – Uses linear regression for trend detection.
RMA (Relative Moving Average) – Used in RSI-based calculations for smooth momentum readings.
ALMA (Arnaud Legoux Moving Average) – A Gaussian-weighted MA for superior signal clarity.
Hyperbolic MA (HyperMA) – A mathematically optimized averaging method with dynamic weighting.
Each function dynamically adjusts its calculation length to match the available bar count, ensuring instant functionality on all assets.
Fully Optimized for Pine Script v6
This library is built on Pine Script v6, ensuring compatibility with modern TradingView indicators and scripts. It includes exportable functions for seamless integration into custom indicators, making it easy to develop trend-following models, volatility filters, and adaptive risk-management systems.
Why Use Dynamic Moving Averages?
Traditional moving averages suffer from a common limitation: they require a fixed historical window to generate meaningful values. This poses several problems:
New Assets Have No Historical Data - If an asset has only been trading for a short period, traditional moving averages may not be able to generate valid signals.
High Timeframes Require Massive Lookbacks - On 1W or 1M charts, a 200-period SMA would require 200 weeks or months of data, making it unusable on newer assets.
Delayed Signal Initialization - Standard indicators often take dozens of bars to stabilize, reducing effectiveness when trading new trends.
The Dynamic Moving Averages Library eliminates these issues by ensuring that every function:
Starts calculation from bar one, using available data instead of waiting for a lookback period.
Adapts dynamically across timeframes, making it equally effective on low or high timeframes.
Allows smoother, more responsive trend tracking, particularly useful for volatile or low-liquidity assets.
This flexibility makes it indispensable for custom script developers, quantitative analysts, and discretionary traders looking to build more adaptive and resilient indicators.
Final Summary
The Dynamic Moving Averages Library is a versatile and powerful set of functions designed to overcome the limitations of fixed-lookback indicators. By dynamically adjusting the calculation length from the first bar, this library ensures that moving averages remain fully functional across all timeframes and asset types, making it an essential tool for traders and developers alike.
With built-in adaptability, low-lag smoothing, and support for multiple moving average types, this library unlocks new possibilities for quantitative trading and strategy development - especially for assets with short price histories or those traded on higher timeframes.
For traders looking to enhance signal reliability, minimize lag, and build adaptable trading systems, the Dynamic Moving Averages Library provides an efficient and flexible solution.
SMA(sourceData, maxLength)
Dynamic SMA
Parameters:
sourceData (float)
maxLength (int)
EMA(src, length)
Dynamic EMA
Parameters:
src (float)
length (int)
DEMA(src, length)
Dynamic DEMA
Parameters:
src (float)
length (int)
TEMA(src, length)
Dynamic TEMA
Parameters:
src (float)
length (int)
WMA(src, length)
Dynamic WMA
Parameters:
src (float)
length (int)
HMA(src, length)
Dynamic HMA
Parameters:
src (float)
length (int)
VWMA(src, volsrc, length)
Dynamic VWMA
Parameters:
src (float)
volsrc (float)
length (int)
SMMA(src, length)
Dynamic SMMA
Parameters:
src (float)
length (int)
LSMA(src, length, offset)
Dynamic LSMA
Parameters:
src (float)
length (int)
offset (int)
RMA(src, length)
Dynamic RMA
Parameters:
src (float)
length (int)
ALMA(src, length, offset_sigma, sigma)
Dynamic ALMA
Parameters:
src (float)
length (int)
offset_sigma (float)
sigma (float)
HyperMA(src, length)
Dynamic HyperbolicMA
Parameters:
src (float)
length (int)
DCStatCalcs_v0.1DCStatCalcs_v0.1 - Session-Based Statistical Projections
This Pine Script indicator overlays customizable horizontal lines on your chart to visualize a session's opening price and its statistical projections based on historical standard deviation (SD). Designed for traders who want to analyze price behavior within defined time sessions, it calculates and plots the session open price along with optional projection lines at 0.5, 1.0, 1.5, 2.0, and 2.5 standard deviations above and below the open, derived from past session data.
Key Features:
Customizable Sessions: Define your session time (e.g., 0600-1500) and timezone (e.g., America/New_York).
Historical Analysis: Uses a user-specified number of past sessions (default: 20) to compute the standard deviation of price movements relative to the session open.
Projection Lines: Displays toggleable lines at multiple SD levels with adjustable styles, colors, and widths for easy visualization.
Flexible Display: Extend lines beyond the current bar with an offset setting, and adjust label sizes for clarity.
Real-Time Updates: Lines dynamically extend as the session progresses, keeping projections relevant to the current bar.
How It Works:
At the start of each user-defined session, the indicator records the opening price and calculates the SD based on price deviations from the open across historical sessions. It then plots the open price line and, if enabled, projection lines at the specified SD intervals. These lines help traders identify potential support, resistance, or volatility zones based on statistical norms.
Use Case:
Ideal for day traders or analysts working with intraday charts to gauge price ranges and volatility within specific trading sessions, such as market opens or key economic hours.
Published under the Mozilla Public License 2.0. Created by dc_77.
