Boltzmann Weighted Moving average ( BWMA )Overview:
Introducing the Boltzmann Weighted Moving Average (BWMA) – a novel approach that draws inspiration from statistical mechanics to emphasize recent market data more than older data. By applying an exponential decay governed by a “temperature” parameter, BWMA provides a unique perspective on price trends and enhances noise filtering. An EMA-based smoothing is then applied for an even cleaner, more stable signal.
Key Features:
Boltzmann Weighting: The BWMA assigns weights to each data point based on a Boltzmann-like formula, giving more influence to recent bars and reducing the impact of older ones. This creates a dynamic, adaptive moving average that can quickly respond to market changes.
Adaptive Temperature Control: Users can adjust the “Temperature” (T) parameter. A lower T puts a stronger emphasis on the most recent data, while a higher T makes the weight distribution more uniform across the chosen period.
EMA Smoothing: After computing the weighted average, an EMA is applied to smooth out short-term noise, resulting in a cleaner trend indication.
Color-Coded Trend Indicator: The BWMA line changes color depending on its slope, allowing traders to quickly identify bullish (green) or bearish (red) conditions at a glance.
Parameters:
Period: Defines the lookback window over which the Boltzmann weights are calculated.
Temperature (T): Controls the steepness of the weight decay. Lower T emphasizes recency, while higher T spreads weights more evenly.
Alpha (Energy Scale): Adjusts how quickly “Energy” (and thus weight decay) increases with older data points.
Smoothing Period: Determines the EMA length for reducing noise after weighting, providing a more stable signal.
How It Works:
The BWMA calculates a weighted average of recent prices, where the weight for each data point i is given by:
weight = math.exp(-energy / (k_B * T))
Energy_i: Increases as the data point is further back in time.
k_B: A scaling constant, set to 1 for simplicity.
T: "Temperature" parameter that controls how quickly the weights decay. A lower T emphasizes more recent data strongly, while a higher T spreads out the emphasis more evenly.
Visuals:
BWMA Line: Plotted as a smooth line that changes color based on trend direction.
Green: BWMA is rising (bullish trend).
Red: BWMA is falling (bearish trend).
Usage:
The BWMA can be used similarly to traditional moving averages but offers greater flexibility and adaptability:
Adjust T and Alpha: Fine-tune the weighting profile to match your trading style, whether you prefer rapid response to recent changes or a more balanced view.
Trend Confirmation: Use color changes to confirm bullish or bearish momentum.
Filtering Noise: The combination of Boltzmann weighting and EMA smoothing can help reduce the impact of sudden price spikes and yield clearer trend signals.
By blending the concepts of statistical mechanics with classic technical analysis techniques, the Boltzmann Weighted Moving Average provides traders with an innovative tool for revealing underlying market trends.
Hareketli Ortalamalar
Heat Map Trend (VIDYA MA) [BigBeluga]The Heat Map Trend (VIDYA MA) - BigBeluga indicator is a multi-timeframe trend detection tool based on the Volumetric Variable Index Dynamic Average (VIDYA). This indicator calculates trends using volume momentum, or volatility if volume data is unavailable, and displays the trends across five customizable timeframes. It features a heat map to visualize trends, color-coded candles based on an average of the five timeframes, and a dashboard that shows the current trend direction for each timeframe. This tool helps traders identify trends while minimizing market noise and is particularly useful in detecting faster market changes in shorter timeframes.
🔵 KEY FEATURES & USAGE
◉ Volumetric Variable Index Dynamic Average (VIDYA):
The core of the indicator is the VIDYA moving average, which adjusts dynamically based on volume momentum. If volume data isn't available, the indicator uses volatility instead to smooth the moving average. This allows traders to assess the trend direction with more accuracy, using either volume or volatility, if volume data is not provided, as the basis for the trend calculation.
// VIDYA CALCULATION -----------------------------------------------------------------------------------------
// ATR (Average True Range) and volume calculation
bool volume_check = ta.cum(volume) <= 0
float atrVal = ta.atr(1)
float volVal = volume_check ? atrVal : volume // Use ATR if volume is not available
// @function: Calculate the VIDYA (Volumetric Variable Index Dynamic Average)
vidya(src, len, cmoLen) =>
float cmoVal = ta.sma(ta.cmo(volVal, cmoLen), 10) // Calculate the CMO and smooth it with an SMA
float absCmo = math.abs(cmoVal) // Absolute value of CMO
float alpha = 2 / (len + 1) // Alpha factor for smoothing
var float vidyaVal = 0.0 // Initialize VIDYA
vidyaVal := alpha * absCmo / 100 * src + (1 - alpha * absCmo / 100) * nz(vidyaVal ) // VIDYA formula
◉ Multi-Timeframe Trend Analysis with Heat Map Visualization:
The indicator calculates VIDYA across five customizable timeframes, allowing traders to analyze trends from multiple perspectives. The resulting trends are displayed as a heat map below the chart, where each timeframe is represented by a gradient color. The color intensity reflects the distance of the moving average (VIDYA) from the price, helping traders to identify trends on different timeframes visually. Shorter timeframes in the heat map are particularly useful for detecting faster market changes, while longer timeframes help to smooth out market noise and highlight the general trend.
Trend Direction:
Heat Map Reading:
◉ Dashboard for Multi-Timeframe Trend Directions:
The built-in dashboard displays the trend direction for each of the five timeframes, showing whether the trend is up or down. This quick overview provides traders with valuable insights into the current market conditions across multiple timeframes, helping them to assess whether the market is aligned or if there are conflicting trends. This allows for more informed decisions, especially during volatile periods.
◉ Color-Coded Candles Based on Multi-Timeframe Averages:
Candles are dynamically colored based on the average of the VIDYA across all five timeframes. When the price is in an uptrend, the candles are colored blue, while in a downtrend, they are colored red. If the VIDYA averages suggest a possible trend shift, the candles are displayed in orange to highlight a potential change in momentum. This color coding simplifies the process of identifying the dominant trend and spotting potential reversals.
BTC:
SP500:
◉ UP and DOWN Signals for Trend Direction Changes:
The indicator provides clear UP and DOWN signals to mark trend direction changes. When the average VIDYA crosses above a certain threshold, an UP signal is plotted, indicating a shift to an uptrend. Conversely, when it crosses below, a DOWN signal is shown, highlighting a transition to a downtrend. These signals help traders to quickly identify shifts in market direction and respond accordingly.
🔵 CUSTOMIZATION
VIDYA Length and Momentum Settings:
Adjust the length of the VIDYA moving average and the period for calculating volume momentum. These settings allow you to fine-tune how sensitive the indicator is to market changes, helping to match it with your preferred trading style.
Timeframe Selection:
Select five different timeframes to analyze trends simultaneously. This gives you the flexibility to focus on short-term trends, long-term trends, or a combination of both depending on your trading strategy.
Candle and Heat Map Color Customization:
Change the colors of the candles and heat map to fit your personal preferences. This customization allows you to align the visuals of the indicator with your overall chart setup, making it easier to analyze market conditions.
🔵 CONCLUSION
The Heat Trend (VIDYA MA) - BigBeluga indicator provides a comprehensive, multi-timeframe view of market trends, using VIDYA moving averages that adapt to volume momentum or volatility. Its heat map visualization, combined with a dashboard of trend directions and color-coded candles, makes it an invaluable tool for traders looking to understand both short-term market fluctuations and longer-term trends. By showing the overall market direction across multiple timeframes, it helps traders avoid market noise and focus on the bigger picture while being alert to faster shifts in shorter timeframes.
Ensemble Alerts█ OVERVIEW
This indicator creates highly customizable alert conditions and messages by combining several technical conditions into groups , which users can specify directly from the "Settings/Inputs" tab. It offers a flexible framework for building and testing complex alert conditions without requiring code modifications for each adjustment.
█ CONCEPTS
Ensemble analysis
Ensemble analysis is a form of data analysis that combines several "weaker" models to produce a potentially more robust model. In a trading context, one of the most prevalent forms of ensemble analysis is the aggregation (grouping) of several indicators to derive market insights and reinforce trading decisions. With this analysis, traders typically inspect multiple indicators, signaling trade actions when specific conditions or groups of conditions align.
Simplifying ensemble creation
Combining indicators into one or more ensembles can be challenging, especially for users without programming knowledge. It usually involves writing custom scripts to aggregate the indicators and trigger trading alerts based on the confluence of specific conditions. Making such scripts customizable via inputs poses an additional challenge, as it often involves complicated input menus and conditional logic.
This indicator addresses these challenges by providing a simple, flexible input menu where users can easily define alert criteria by listing groups of conditions from various technical indicators in simple text boxes . With this script, you can create complex alert conditions intuitively from the "Settings/Inputs" tab without ever writing or modifying a single line of code. This framework makes advanced alert setups more accessible to non-coders. Additionally, it can help Pine programmers save time and effort when testing various condition combinations.
█ FEATURES
Configurable alert direction
The "Direction" dropdown at the top of the "Settings/Inputs" tab specifies the allowed direction for the alert conditions. There are four possible options:
• Up only : The indicator only evaluates upward conditions.
• Down only : The indicator only evaluates downward conditions.
• Up and down (default): The indicator evaluates upward and downward conditions, creating alert triggers for both.
• Alternating : The indicator prevents alert triggers for consecutive conditions in the same direction. An upward condition must be the first occurrence after a downward condition to trigger an alert, and vice versa for downward conditions.
Flexible condition groups
This script features six text inputs where users can define distinct condition groups (ensembles) for their alerts. An alert trigger occurs if all the conditions in at least one group occur.
Each input accepts a comma-separated list of numbers with optional spaces (e.g., "1, 4, 8"). Each listed number, from 1 to 35, corresponds to a specific individual condition. Below are the conditions that the numbers represent:
1 — RSI above/below threshold
2 — RSI below/above threshold
3 — Stoch above/below threshold
4 — Stoch below/above threshold
5 — Stoch K over/under D
6 — Stoch K under/over D
7 — AO above/below threshold
8 — AO below/above threshold
9 — AO rising/falling
10 — AO falling/rising
11 — Supertrend up/down
12 — Supertrend down/up
13 — Close above/below MA
14 — Close below/above MA
15 — Close above/below open
16 — Close below/above open
17 — Close increase/decrease
18 — Close decrease/increase
19 — Close near Donchian top/bottom (Close > (Mid + HH) / 2)
20 — Close near Donchian bottom/top (Close < (Mid + LL) / 2)
21 — New Donchian high/low
22 — New Donchian low/high
23 — Rising volume
24 — Falling volume
25 — Volume above average (Volume > SMA(Volume, 20))
26 — Volume below average (Volume < SMA(Volume, 20))
27 — High body to range ratio (Abs(Close - Open) / (High - Low) > 0.5)
28 — Low body to range ratio (Abs(Close - Open) / (High - Low) < 0.5)
29 — High relative volatility (ATR(7) > ATR(40))
30 — Low relative volatility (ATR(7) < ATR(40))
31 — External condition 1
32 — External condition 2
33 — External condition 3
34 — External condition 4
35 — External condition 5
These constituent conditions fall into three distinct categories:
• Directional pairs : The numbers 1-22 correspond to pairs of opposing upward and downward conditions. For example, if one of the inputs includes "1" in the comma-separated list, that group uses the "RSI above/below threshold" condition pair. In this case, the RSI must be above a high threshold for the group to trigger an upward alert, and the RSI must be below a defined low threshold to trigger a downward alert.
• Non-directional filters : The numbers 23-30 correspond to conditions that do not represent directional information. These conditions act as filters for both upward and downward alerts. Traders often use non-directional conditions to refine trending or mean reversion signals. For instance, if one of the input lists includes "30", that group uses the "Low relative volatility" condition. The group can trigger an upward or downward alert only if the 7-period Average True Range (ATR) is below the 40-period ATR.
• External conditions : The numbers 31-35 correspond to external conditions based on the plots from other indicators on the chart. To set these conditions, use the source inputs in the "External conditions" section near the bottom of the "Settings/Inputs" tab. The external value can represent an upward, downward, or non-directional condition based on the following logic:
▫ Any value above 0 represents an upward condition.
▫ Any value below 0 represents a downward condition.
▫ If the checkbox next to the source input is selected, the condition becomes non-directional . Any group that uses the condition can trigger upward or downward alerts only if the source value is not 0.
To learn more about using plotted values from other indicators, see this article in our Help Center and the Source input section of our Pine Script™ User Manual.
Group markers
Each comma-separated list represents a distinct group , where all the listed conditions must occur to trigger an alert. This script assigns preset markers (names) to each condition group to make the active ensembles easily identifiable in the generated alert messages and labels. The markers assigned to each group use the format "M", where "M" is short for "Marker" and "x" is the group number. The titles of the inputs at the top of the "Settings/Inputs" tab show these markers for convenience.
For upward conditions, the labels and alert messages show group markers with upward triangles (e.g., "M1▲"). For downward conditions, they show markers with downward triangles (e.g., "M1▼").
NOTE: By default, this script populates the "M1" field with a pre-configured list for a mean reversion group ("2,18,24,28"). The other fields are empty. If any "M*" input does not contain a value, the indicator ignores it in the alert calculations.
Custom alert messages
By default, the indicator's alert message text contains the activated markers and their direction as a comma-separated list. Users can override this message for upward or downward alerts with the two text fields at the bottom of the "Settings/Inputs" tab. When the fields are not empty , the alerts use that text instead of the default marker list.
NOTE: This script generates alert triggers, not the alerts themselves. To set up an alert based on this script's conditions, open the "Create Alert" dialog box, then select the "Ensemble Alerts" and "Any alert() function call" options in the "Condition" tabs. See the Alerts FAQ in our Pine Script™ User Manual for more information.
Condition visualization
This script offers organized visualizations of its conditions, allowing users to inspect the behaviors of each condition alongside the specified groups. The key visual features include:
1) Conditional plots
• The indicator plots the history of each individual condition, excluding the external conditions, as circles at different levels. Opposite conditions appear at positive and negative levels with the same absolute value. The plots for each condition show values only on the bars where they occur.
• Each condition's plot is color-coded based on its type. Aqua and orange plots represent opposing directional conditions, and purple plots represent non-directional conditions. The titles of the plots also contain the condition numbers to which they apply.
• The plots in the separate pane can be turned on or off with the "Show plots in pane" checkbox near the top of the "Settings/Inputs" tab. This input only toggles the color-coded circles, which reduces the graphical load. If you deactivate these visuals, you can still inspect each condition from the script's status line and the Data Window.
• As a bonus, the indicator includes "Up alert" and "Down alert" plots in the Data Window, representing the combined upward and downward ensemble alert conditions. These plots are also usable in additional indicator-on-indicator calculations.
2) Dynamic labels
• The indicator draws a label on the main chart pane displaying the activated group markers (e.g., "M1▲") each time an alert condition occurs.
• The labels for upward alerts appear below chart bars. The labels for downward alerts appear above the bars.
NOTE: This indicator can display up to 500 labels because that is the maximum allowed for a single Pine script.
3) Background highlighting
• The indicator can highlight the main chart's background on bars where upward or downward condition groups activate. Use the "Highlight background" inputs in the "Settings/Inputs" tab to enable these highlights and customize their colors.
• Unlike the dynamic labels, these background highlights are available for all chart bars, irrespective of the number of condition occurrences.
█ NOTES
• This script uses Pine Script™ v6, the latest version of TradingView's programming language. See the Release notes and Migration guide to learn what's new in v6 and how to convert your scripts to this version.
• This script imports our new Alerts library, which features functions that provide high-level simplicity for working with complex compound conditions and alerts. We used the library's `compoundAlertMessage()` function in this indicator. It evaluates items from "bool" arrays in groups specified by an array of strings containing comma-separated index lists , returning a tuple of "string" values containing the marker of each activated group.
• The script imports the latest version of the ta library to calculate several technical indicators not included in the built-in `ta.*` namespace, including Double Exponential Moving Average (DEMA), Triple Exponential Moving Average (TEMA), Fractal Adaptive Moving Average (FRAMA), Tilson T3, Awesome Oscillator (AO), Full Stochastic (%K and %D), SuperTrend, and Donchian Channels.
• The script uses the `force_overlay` parameter in the label.new() and bgcolor() calls to display the drawings and background colors in the main chart pane.
• The plots and hlines use the available `display.*` constants to determine whether the visuals appear in the separate pane.
Look first. Then leap.
Volume Weighted TWAP (VW-TWAP)The Volume Weighted Time Weighted Average Price (VW-TWAP) is an indicator that combines the principles of price averaging with volume sensitivity. Unlike the traditional TWAP, which calculates a simple time-weighted average, VW-TWAP integrates volume into its computation, emphasizing price movements that occur during periods of higher trading activity. This makes it particularly effective for identifying realistic price levels influenced by significant market participation. It is computed by summing the volume-weighted prices over a specified period and dividing by the total volume, providing a more accurate reflection of the price participants value most.
The key benefits of VW-TWAP lie in its ability to guide both traders and investors with a data-driven perspective. By accounting for both time and volume, it highlights fair value zones where significant accumulation or distribution might occur. This can improve trade entries and exits by aligning decisions with zones of substantial market consensus. Furthermore, its adaptability to different timeframes enhances its utility in multi-timeframe analysis, making it suitable for intraday scalpers and long-term swing traders alike. The VW-TWAP's focus on volume sensitivity also minimizes noise from low-volume, erratic price movements, offering a clearer view of market dynamics.
All-In Overview [JKR] V2Fair Value Gap
50er SMA
200er SMA
Daily High
Daily Low
Prev. Daily High
Prev. Daily Low
Opening Price
All-In [JKR]Fair Value Gap
50er SMA
200er SMA
Daily High
Daily Low
Prev. Daily High
Prev. Daily Low
Opening Price
Volume Weighted Jurik Moving AverageThe Jurik Moving Average (JMA) is a smoothing indicator that is designed to improve upon traditional moving averages by reducing lag while enhancing responsiveness to price movements. It was created by Jurik Research and is often used to track trends with greater accuracy and minimal delay. The JMA is based on a combination of **exponential smoothing** and **phase adjustments**, making it more adaptable to varying market conditions compared to standard moving averages like SMA (Simple Moving Average) or EMA (Exponential Moving Average).
The core advantage of the JMA lies in its ability to adjust to price changes without excessively lagging, which is a common issue with traditional moving averages. It incorporates a **phase parameter** that can be adjusted to smooth out the signal further or make it more responsive to recent price action. This phase adjustment allows traders to fine-tune the JMA's sensitivity to the market, optimizing it for different timeframes and trading strategies.
How JMA Works and Benefits of Adding Volume Weight
The JMA works by applying a **smoothing process** to price data while allowing for adjustments through its phase and power parameters. These parameters help control the degree of smoothness and responsiveness. The result is a curve that follows price trends closely but with less lag than traditional moving averages.
Adding **volume weighting** to the JMA enhances its ability to reflect market activity more accurately. Just like the **Volume-Weighted Moving Average (VWMA)**, volume-weighting adjusts the moving average based on the strength of trading volume, meaning that price movements with higher volume will have a greater influence on the JMA. This can help traders identify trends that are supported by significant market participation, making the moving average more reliable.
The benefit of a volume-weighted JMA is that it responds more effectively to price movements that occur during periods of high trading volume, which are often considered more significant. This can help traders avoid false signals that may occur during low-volume periods when price changes may not reflect true market sentiment. By incorporating volume into the calculation, the JMA becomes more aligned with real market conditions, enhancing its effectiveness for trend identification and decision-making.
All-In Overview [JKR]Fair Value Gap
50er SMA
200er SMA
Daily High
Daily Low
Prev. Daily High
Prev. Daily Low
Opening Price
Multiple Anchored WAP [TheWealthVriksh.com]Multiple Anchored Average Price indicator is designed to pinpoint a specific date and price in a given financial instrument's price chart. Once anchored to the desired date and price level, the script calculates and displays the average price from that anchor point to the current day.
Features
Customizable Source: Allows users to choose the source data for calculations. By default, it uses hlc3, which is the average of high, low, and close prices.
Start Date Input: The script includes a timestamp-based input that allows the user to specify the anchor date easily.
Customizable Color: Users can change the color of the plotted average line, adding an additional layer of customization to the visual representation.
Code Mechanics
Initialization: Declares the variables and arrays required for calculations and display. The array is used to store price data.
Condition Check: Only starts storing and calculating data if the chart's time is equal to or greater than the user-defined start date.
Data Storing: Once the condition is met, the script pushes the src price data into the array for future averaging.
Average Calculation: It calculates the average price of the values stored in the array.
Data Clearing: If the condition is not met, the array is cleared, and no average is plotted.
Plotting: The average price is plotted on the chart with the user-defined color.
By incorporating these features and mechanics, Multiple Anchored WAP provides traders and investors with a powerful tool for assessing average prices anchored to a specific date or swing.
Disclaimer:
This TradingView script is intended for educational and informational purposes only and should not be considered as investment or trading advice. Past performance is not indicative of future results. Trading and investing carry a high level of risk, and you should consult with a qualified financial advisor before making any financial decisions. The creator of this script, Prakash Tejwani, is not responsible for any losses or damages incurred as a result of using this script.
Trade smart, stay safe
Prakash Tejwani
TheWealthVriksh.com
RSI Overbought/OversoldRSI Overbought/Oversold Indicator
Description:
The RSI Overbought/Oversold Indicator helps you track the relative strength of an asset and identify overbought or oversold conditions. The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify potential reversal points in the market.
- Overbought condition (above 70): The market may be overbought, indicating potential for a price pullback or reversal.
- Oversold condition (below 30): The market may be oversold, suggesting a possible price reversal to the upside.
- RSI Line: This line is plotted to track the relative strength of the asset's price movements.
- Horizontal lines at 70 (Overbought) and 30 (Oversold) levels help you easily spot overbought and oversold conditions.
This indicator is plotted in its own panel below the price chart for easy visualization of market momentum.
Moving Average Exponential (EMA) - 7 - 25 - 50This is a basic merge of Moving Average Exponential (EMA) - 7 - 25 - 50
You can use EMA 7, EMA 25 and EMA 50 on chart indicator.
I've just merged them into one
4 EMA Cross & CCI by AKJ4 EMA Cross by AKJ
//@version=5
indicator(title="Commodity Channel Index", shorttitle="CCI", format=format.price, precision=2, timeframe="", timeframe_gaps=true)
length = input.int(20, minval=1)
src = input(hlc3, title="Source")
ma = ta.sma(src, length)
cci = (src - ma) / (0.015 * ta.dev(src, length))
plot(cci, "CCI", color=#2962FF)
band1 = hline(100, "Upper Band", color=#787B86, linestyle=hline.style_dashed)
hline(0, "Middle Band", color=color.new(#787B86, 50))
band0 = hline(-100, "Lower Band", color=#787B86, linestyle=hline.style_dashed)
fill(band1, band0, color=color.rgb(33, 150, 243, 90), title="Background")
// Smoothing MA inputs
GRP = "Moving Average"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("SMA", "Type", options = , group = GRP, display = display.data_window)
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window)
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window)
var enableMA = maTypeInput != "None"
var isBB = maTypeInput == "SMA + Bollinger Bands"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(cci, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(cci, maLengthInput) * bbMultInput : na
plot(smoothingMA, "CCI-based MA", color=color.yellow, display = enableMA ? display.all : display.none)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none)
Tuturu Wheiao Trader IndicatorEMA cross overs with a VWAP to illustrate circumstances of price action and isolate entry and exit times
Multi.SMA PlotterA simple SMA plotter to easily evaluate/explore the behavior and relationship between all SMA's available as filters in the Crypto Coins screener.
Pavan Guppy Strategy
Where does it come from?
Contrary to popular belief, Lorem Ipsum is not simply random text. It has roots in a piece of classical Latin literature from 45 BC, making it over 2000 years old. Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum passage, and going through the cites of the word in classical literature, discovered the undoubtable source. Lorem Ipsum comes from sections 1.10.32 and 1.10.33 of "de Finibus Bonorum et Malorum" (The Extremes of Good and Evil) by Cicero, written in 45 BC. This book is a treatise on the theory of ethics, very popular during the Renaissance. The first line of Lorem Ipsum, "Lorem ipsum dolor sit amet..", comes from a line in section 1.10.32.
The standard chunk of Lorem Ipsum used since the 1500s is reproduced below for those interested. Sections 1.10.32 and 1.10.33 from "de Finibus Bonorum et Malorum" by Cicero are also reproduced in their exact original form, accompanied by English versions from the 1914 translation by H. Rackham.
Where can I get some?
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum, you need to be sure there isn't anything embarrassing hidden in the middle of text. All the Lorem Ipsum generators on the Internet tend to repeat predefined chunks as necessary, making this the first true generator on the Internet. It uses a dictionary of over 200 Latin words, combined with a handful of model sentence structures, to generate Lorem Ipsum which looks reasonable. The generated Lorem Ipsum is therefore always free from repetition, injected humour, or non-characteristic words etc.
Combined Zero Lag EMA with Crosses | ASHGCombined Zero Lag EMA with Crosses
This indicator combines the power of Zero Lag Exponential Moving Averages (EMAs) with the widely used Golden Cross and Death Cross signals. It provides an efficient and precise trend-following tool for traders.
Key Features:
Short and Long Zero Lag EMAs: The indicator uses two Zero Lag EMAs with customizable periods (Short and Long). The short EMA is typically more responsive to price changes, while the long EMA smooths out price data, providing a broader trend perspective.
Golden Cross and Death Cross signals: The Golden Cross occurs when the short EMA crosses above the long EMA, indicating a potential bullish trend. The Death Cross occurs when the short EMA crosses below the long EMA, signaling a possible bearish trend.
Combined Zero Lag EMA: The average of the Short and Long Zero Lag EMAs gives a balanced view of the market's overall direction.
Plotting and Alerts: The indicator plots both the short and long Zero Lag EMAs, as well as the combined EMA, with visual cues for Golden and Death Crosses. Alerts can be set for when these crosses occur.
Use this indicator for clearer entry and exit points, helping you stay ahead of market movements.
This indicator is based on Kıvanç ÖZBİLGİÇ's "Zero Lag EMA v2" indicator.
tr.tradingview.com
Birleştirilmiş Zero Lag EMA ve Cross (Kesişim) Sinyalleri
Bu gösterge, Zero Lag (Sıfır Gecikmeli) Üssel Hareketli Ortalamaların (EMA) gücünü, yaygın olarak kullanılan Golden Cross (Altın Kesişim) ve Death Cross (Ölüm Kesişimi) sinyalleriyle birleştirir. Yatırımcılar için verimli ve hassas bir trend takip aracıdır.
Öne Çıkan Özellikler:
Kısa ve Uzun Zero Lag EMA: Gösterge, özelleştirilebilir periyotlarla iki Zero Lag EMA kullanır (Kısa ve Uzun). Kısa EMA, fiyat değişimlerine daha hızlı tepki verirken, uzun EMA fiyat verilerini düzleştirerek daha geniş bir trend perspektifi sunar.
Golden Cross ve Death Cross sinyalleri: Golden Cross, kısa EMA'nın uzun EMA'yı yukarı doğru kesmesiyle oluşur ve potansiyel bir yükseliş trendine işaret eder. Death Cross ise, kısa EMA'nın uzun EMA'yı aşağı doğru kesmesiyle oluşur ve düşüş trendi sinyali verir.
Birleştirilmiş Zero Lag EMA: Kısa ve uzun Zero Lag EMA'larının ortalaması, piyasanın genel yönünü dengeli bir şekilde gösterir.
Grafik ve Uyarılar: Gösterge, kısa ve uzun Zero Lag EMA'ları ile birleştirilmiş EMA'yı çizerek Golden Cross ve Death Cross sinyalleri için görsel uyarılar sağlar. Bu kesişimler gerçekleştiğinde alarm kurabilirsiniz.
Bu göstergeleri kullanarak, piyasa hareketlerinden önce net giriş ve çıkış noktaları belirleyebilir, böylece daha bilinçli kararlar alabilirsiniz.
Bu indikatör Kıvanç ÖZBİLGİÇ'in "Zero Lag EMA v2" indikatörünü temel alarak hazırlanmıştır.
tr.tradingview.com
Position Trading (Conservative) by ATDCEnhanced Bullish Engulfing with MACD, ATR-Based SL/TP, RSI, Volume Filter, and Multi-Timeframe Analysis
EMA Crossover Sell StrategyDesigned to generate sell signals when a short-term EMA (5-period) crosses below a longer-term EMA (8-period). It supports both fixed take-profit/stop-loss levels and a trailing stop-loss option based on ATR (Average True Range).
Key features:
Sell Trigger: Activated when the EMA 5 crosses below EMA 8.
Risk Management: Maintains a 1:1 risk-reward ratio by calculating stop-loss and take-profit levels based on a predefined dollar risk.
Trailing Stop Option: Dynamically adjusts stop-loss levels using a multiple of ATR for improved trade management.
Visual Indicators: Plots EMA lines (5 and 8) for easy trend visualization.
Alerts: Notifies you when a sell condition is triggered.
This strategy is ideal for traders looking to short the market based on EMA crossovers while managing risk effectively.
Smart Money with Impulsive Move Detection & Ultra PrecisionHere's a description you can use for your TradingView script:
---
**Smart Money with Impulsive Move Detection & Ultra Precision**
This strategy combines multiple powerful tools from Smart Money Concepts (SMC) to detect high-probability impulsive moves with precision. It uses advanced market structure analysis, volume filters, trend confirmation, and technical indicators to give you precise buy and sell signals. The goal is to minimize the risk of market movement against the signals, ensuring you capture impulsive market moves with a higher level of accuracy.
### Key Features:
1. **Order Blocks**: Identifies bullish and bearish order blocks to indicate potential reversal points, ensuring you trade in the direction of institutional interest.
2. **Fair Value Gaps (FVG)**: Detects price gaps that represent liquidity voids, providing opportunities to trade with minimal risk.
3. **Market Structure Shifts (MSS)**: Identifies changes in market structure (bullish or bearish) to confirm trend direction, reducing the likelihood of false signals.
4. **RSI and MACD Confirmation**: Uses RSI and MACD indicators to confirm the strength of the trend and impulsive moves, providing further assurance before entering trades.
5. **Volume Analysis**: Filters signals based on significant volume, ensuring that you only trade with market participants that show true momentum.
6. **Multi-Timeframe Trend Analysis**: Uses higher timeframe trend direction to confirm the trend on your current timeframe, ensuring you only take trades in the direction of the larger market trend.
7. **High-Probability Impulsive Moves**: Signals are given only when all conditions align, increasing the probability of success and minimizing risk.
8. **Alerts**: Customizable alerts for bullish and bearish order blocks, FVG, MSS, and impulsive moves so that you never miss an opportunity.
### How to Use:
- **Buy Signal**: When a bullish order block, bullish market structure shift, and impulsive move with volume confirmation occur, a buy signal is generated.
- **Sell Signal**: When a bearish order block, bearish market structure shift, and impulsive move with volume confirmation occur, a sell signal is generated.
- **Trend Confirmation**: The script works best in a trending market. Signals are filtered by trend direction, with only trades in alignment with the larger trend being considered.
### Ideal Use Case:
- **Swing Traders**: Capture large impulsive moves in the market.
- **Scalpers**: Benefit from precise entry points with minimal drawdown.
- **Trend Followers**: Follow the trend while reducing the risk of false signals.
### Disclaimer:
While this script is designed to minimize risk and improve trade accuracy, no system can guarantee 100% accuracy in the market. Always use proper risk management and adjust settings according to your trading strategy.
---
This description provides a clear explanation of the script’s features, how it works, and how to use it effectively on TradingView. Let me know if you need any further changes!
Vegas Channel Strategy (Long Only)Vegas Channel Strategy with Leverage - Script Explanation
This script implements the Vegas Channel Strategy for swing trading with long-only positions using customizable short and long period moving averages. It includes buy and sell signals, a trend indication, and the ability to visualize background color to signify the market’s direction (bullish trends). Additionally, this version can be adjusted to incorporate leverage.
Key Features of the Script:
1. Moving Averages (MA):
• The strategy uses two short-period MAs (144 and 169), and two long-period MAs (576 and 676) to define the trend and identify entry/exit points.
• The short-period MAs help to track the more immediate market trends, while the long-period MAs are used for longer-term trend confirmation.
2. Trade Signals:
• Buy Signal: A buy signal is generated when the price crosses above the 144-period short MA, and the market is in a bullish trend as confirmed by the short MA being above the long MA.
• Sell Signal: A sell signal is triggered when the price crosses below the 169-period short MA, indicating that the market may be reversing.
• Signal Visualization: These signals are displayed on the chart with green arrows for buy and red arrows for sell.
3. Trend Indication:
• The script highlights the background color of the chart to indicate bullish trends. When the market is in a bullish trend, the background turns a light green color, which is adjustable for transparency and visibility.
• This helps traders visually identify the prevailing trend.
4. Leverage Adjustment (if needed):
• The script can be further adjusted to account for leverage by allowing position sizes to be magnified. Leverage enhances potential returns, but also increases risk.
• Traders can modify the position size, risk allocation, and trade settings to manage how leverage impacts the overall strategy.
5. Background Colors:
• The background color will turn light green during a bullish trend with high transparency (95), allowing for a gentle trend indication without overwhelming the chart’s visibility.
6. Customizable Parameters:
• The lengths of the moving averages (short MA and long MA) are fully adjustable via input fields, giving flexibility to tailor the strategy based on different market conditions or trading preferences.
Important Notes:
• Trend Reliance: The strategy works best in trending markets. In sideways or highly volatile markets, the signals might not be as reliable.
• Risk Management: Traders are encouraged to incorporate stop-loss and take-profit levels when using leverage. The script does not include automatic risk management features, so setting your own risk parameters is crucial.
• Leverage: Leverage increases both potential profit and risk. Be cautious when adjusting leverage, and ensure that position sizing is aligned with your overall risk tolerance and capital allocation.
Conjunto de Indicadores EMA/SMA# Conjunto de Indicadores EMA/SMA para TradingView
Este script em Pine Script v5 exibe um conjunto de Médias Móveis Exponenciais (EMAs), todas suavizadas com uma SMA de 5 períodos, além de 5 EMAs extras personalizáveis. O objetivo é centralizar, em um único indicador, as principais médias móveis utilizadas pelo trader, possibilitando economizar espaço no gráfico e reduzir a quantidade de indicadores carregados.
## Principais Recursos
- **EMA8W - SMA5:** EMA de 8 períodos no timeframe semanal, suavizada por uma SMA de 5 períodos, plotada como área.
- **EMA21W - SMA5:** EMA de 21 períodos no timeframe semanal, suavizada por uma SMA de 5 períodos, plotada como área.
- **EMA17 - SMA5 (Fast):** EMA rápida de 17 períodos no timeframe atual do gráfico, suavizada por uma SMA de 5 períodos, plotada como linha.
- **EMA72 - SMA5 (Slow):** EMA lenta de 72 períodos no timeframe atual do gráfico, suavizada por uma SMA de 5 períodos, plotada como linha.
- **5 EMAs Extras:** Cada uma com período, timeframe e habilitação configuráveis pelo usuário, também suavizadas por SMA de 5 períodos.
O script também cria uma tabela no canto superior direito do gráfico, listando apenas os indicadores habilitados. Na tabela, são exibidas as informações de período, tipo de suavização (SMA5) e o timeframe selecionado.
## Como Utilizar
1. **Instalação:**
- Abra o TradingView e vá até o editor Pine.
- Cole o código fornecido pelo script.
- Clique em "Add to chart" (Adicionar ao gráfico).
2. **Configuração dos Indicadores Principais:**
- No painel de configurações do indicador, você pode habilitar ou desabilitar as EMAs principais (8W e 21W suavizadas, além da EMA17 e EMA72 no timeframe atual).
- As cores e estilos já estão definidos, porém é possível editá-los conforme sua preferência na aba "Style".
3. **Configuração das EMAs Extras:**
- Para cada uma das 5 EMAs extras, você pode:
- Habilitar ou desabilitar a exibição.
- Ajustar o período da EMA.
- Definir o timeframe específico para aquela EMA.
Essas EMAs extras também aparecem na tabela quando habilitadas.
4. **Tabela de Indicadores Ativos:**
- Uma tabela no canto superior direito listará apenas os indicadores em uso.
- Cada linha mostra o nome formatado: `EMA - SMA 5 - `, destacando a cor usada no plot.
## Interpretação Clássica das EMAs
As Médias Móveis Exponenciais (EMAs) respondem mais rapidamente às mudanças de preço do que as médias simples (SMA), pois dão mais peso aos dados recentes. Ao combiná-las com uma SMA adicional de suavização, procura-se eliminar ruídos excessivos e ter uma visualização mais clara da tendência.
### Identificando Tendência
- **EMA Rápida vs. EMA Lenta:**
Uma técnica clássica é observar o cruzamento entre uma EMA mais rápida (por exemplo, EMA17) e uma EMA mais lenta (por exemplo, EMA72).
- Quando a EMA rápida cruza acima da EMA lenta, pode sinalizar início de uma tendência de alta.
- Quando a EMA rápida cruza abaixo da EMA lenta, pode sinalizar início de uma tendência de baixa.
- **EMAs em Timeframe Maior (8W e 21W):**
As EMAs semanais (8W e 21W) ajudam a entender a tendência macro do mercado.
- Preço acima das EMAs semanais indica tendência de alta de longo prazo.
- Preço abaixo das EMAs semanais indica tendência de baixa de longo prazo.
### Mudança Potencial de Tendência
- **Inclinação das Médias:**
Observe se as EMAs estão nivelando ou mudando de inclinação. Uma EMA que estava inclinada para cima e começa a ficar horizontal ou inclinada para baixo pode sinalizar perda de força da tendência atual e uma possível reversão.
- **Distância do Preço até a EMA:**
Se o preço se afasta muito da EMA, pode haver uma correção retornando para a média, indicando potencial mudança no momentum.
### Operar Contra a Tendência: Riscos
Embora as EMAs possam indicar oportunidades de entrada contrárias à tendência dominante (por exemplo, um pullback numa tendência de baixa que cria uma chance de compra a curto prazo), é importante ressaltar os riscos:
- **Probabilidade Mais Baixa de Sucesso:**
Operar contra a tendência principal aumenta as chances de que o preço retome o movimento dominante a qualquer momento, resultando em perda.
- **Menor Conforto Mental:**
Ao contrariar a tendência, o trader tende a lutar contra a força predominante do mercado, aumentando o estresse e a incerteza.
- **Necessidade de Stops Justos e Gestão de Risco:**
Caso opte por oportunidades contra a tendência, defina stops curtos e gerencie bem o risco. É recomendável reduzir o tamanho da posição ou usar critérios mais conservadores de saída.
## Conclusão
Este script reúne diversas EMAs em um único indicador, oferecendo uma visão clara da tendência atual em múltiplos horizontes de tempo. Ajuste as configurações conforme seu estilo de trading e utilize o conhecimento clássico das EMAs para identificar tendências, potenciais reversões e avaliar riscos ao operar contra o fluxo principal do mercado.
Sempre lembre-se de que nenhum indicador é infalível. Use as EMAs combinadas com outras análises (suporte/resistência, volume, price action) e mantenha uma gestão de risco adequada.
