DynamicFunctionsLibrary "DynamicFunctions"
Custom Dynamic functions that allow an adaptive calculation beginning from the first bar
RoC(src, period)
Dynamic RoC
Parameters:
src (float) : and period
Custom function to calculate the actual period considering non-na source values
period (int)
dynamicMedian(src, length)
Dynamic Median
Parameters:
src (float) : and length
length (int)
kernelRegression(src, bandwidth, kernel_type)
Dynamic Kernel Regression Calculation Uses either of the following inputs for kernel_type: Epanechnikov Logistic Wave
Parameters:
src (float)
bandwidth (int)
kernel_type (string)
waveCalculation(source, bandwidth, width)
Use together with kernelRegression function to get chart applicable band
Parameters:
source (float)
bandwidth (int)
width (float)
Rsi(src, length)
Dynamic RSI function
Parameters:
src (float)
length (int)
dynamicStdev(src, period)
Dynamic SD function
Parameters:
src (float)
period (int)
stdv_bands(src, length, mult)
Dynamic SD Bands
Parameters:
src (float)
length (int)
mult (float)
Returns: Basis, Positive SD, Negative SD
Adx(dilen, adxlen)
Dynamic ADX
Parameters:
dilen (int)
adxlen (int)
Returns: adx
Atr(length)
Dynamic ATR
Parameters:
length (int)
Returns: ATR
Macd(source, fastLength, slowLength, signalSmoothing)
Dynamic MACD
Parameters:
source (float)
fastLength (int)
slowLength (int)
signalSmoothing (int)
Returns: macdLine, signalLine, histogram
Movingavarage
Moving Average PropertiesThis indicator calculates and visualizes the Relative Smoothness (RS) and Relative Lag (RL) or call it accuracy of a selected moving average (MA) in comparison to the SMA of length 2 (the lowest possible length for a moving average and also the one closest to the price).
Median RS (Relative Smoothness):
Interpretation: The median RS represents the median value of the Relative Smoothness calculated for the selected moving average across a specified look-back period (max bar lookback is set at 3000).
Significance: A more negative (larger) median RS suggests that the chosen moving average has exhibited smoother price behavior compared to a simple moving average over the analyzed period. A less negative value indicates a relatively choppier price movement.
Median RL (Relative Lag):
Interpretation: The median RL represents the median value of the Relative Lag calculated for the selected moving average compared to a simple moving average of length 2.
Significance: A higher median RL indicates that the chosen moving average tends to lag more compared to a simple moving average. Conversely, lower values suggest less lag in the selected moving average.
Ratio of Median RS to Median RL:
Interpretation: This ratio is calculated by dividing the median RS by the median RL.
Significance: Traders might use this ratio to assess the balance between smoothness and lag in the chosen moving average. This a measure of for every % of lag what is the smoothness achieved. This can be used a benchmark to decide what length to choose for a MA to get an equivalent value between two stocks. For example a TESLA stock on a 15 minute time frame with a length of 12 has a value (ratio of RS/RL) of -150 , where as APPLE stock of length 35 on a 15 minute chart also has a value (ratio of RS/RL) of -150.
I imply that a MA of length 12 working on TESLA stock is equivalent to MA of length 35 on a APPLE stock. (THIS IS A EXAMPLE).
My assumption is that finding the right moving average length for a stock isn't a one-size-fits-all situation. It's not just about using a fixed length; it's about adapting to the unique characteristics of each stock. I believe that what works for one stock might not work for another because they have different levels of smoothness or lag in their price movements. So, instead of applying the same length to all stocks, I suggest adjusting the length of the moving average to match the values that we know work best for achieving the desired smoothness or lag or its ratio (RS/RL). This way, we're customizing the indicator for each stock, tailoring it to their individual behaviors rather than sticking to a one-size-fits-all approach.
Users can choose from various types of moving averages (EMA, SMA, WMA, VWMA, HMA) and customize the length of the moving average. RS measures the smoothness of the MA, while RL measures its lag compared to a simple moving average. The script plots the median RS and RL values, the selected MA, and the ratio of median RS to median RL on the price chart. Traders can use this information to assess the performance of different moving averages and potentially inform their trading decisions.
MTF VWAPThis indicator is an enhanced version of the traditional VWAP, providing traders with multiple timeframe views, automatic session anchoring, and customization options for optimized technical analysis.
Key Features:
1. Multiple Timeframes, One View : Visualize Daily, Weekly, Monthly, and Yearly VWAP calculations simultaneously on a single chart.
2. Automatic Anchoring : The indicator intelligently auto-anchors each VWAP calculation to the start of its respective session. This ensures accurate readings and streamlines your analysis by eliminating the need for manual adjustments.
3. Customizability : Tailor the appearance of the indicator with fully customizable colors and the ability to select your preferred price source (e.g., high, low, close, hlc3, hlcc4, or a custom one).
Qu_Trend+
composition
- Consists of a thick trend line and a thin yellow line.
- The largest (green/red) lines indicate rising and falling markets.
- This line represents the 13-candle moving average of Tilson T3.
- The reason for 13 candles is because it best matches the recent market price based on Bitcoin.
- This value cannot be changed, so if you need it, please modify the public code and use it.
- The yellow line is the MA20 line, the ‘Bollinger Band center line’
(UI will show whether this line has been breakout)
- The same algorithm as 20 of the basic moving average (close standard) is applied.
- The algorithm for breakthrough is calculated based on real-time prices, not based on closing prices.
An additional short-term SMA is created, and whether it crosses the SMA is classified as a breakout/resistance.
How to use it
- If the trend line becomes gentle, it may indicate a change in trend when + MA20 is broken.
- While the slope of the trend line is steep, it indicates that the trend is difficult to change.
(If the trend changes at this time, it is likely to move sideways)
- If the trend changes continuously, it is a sideways market.
At this time, watch out for the movement of the end point where the sideways trend ends.
MA+ ProjectionThe "MA+ Projection" indicator is designed to visualize the potential future direction of a moving average, taking into account the impact of historical data loss. It is primarily aimed at providing a practical perspective on how moving averages could evolve as older data points are no longer considered.
Key Features:
Supported Moving Averages: SMA, EMA, WMA, VWMA, and VAWMA (Volume Adjusted WMA).
Flexible Time Span Settings: Customize the moving average length in bars, minutes, or days.
Adjustable Projection Scope: Set a percentage of the measurement to project forward.
Projection 'Cone': Show/hide the deviation and control the multiple.
Use Last Source Value: An option to add the latest known value to the moving window instead of only letting the window shrink. (Enabled by default.)
How It Works:
Given the specified parameters, it takes the selected moving average type (a known formula like SMA, EMA, or WMA), and projects the future data points by continuing to move the data 'window' forward without adding any more data. By default, it extends the average by assuming the price hasn't changed after the last bar. Alternatively, the projection can be the result of shrinking the window as it moves forward without adding any new data points.
Note:
This tool is for visual projection, not prediction. Its purpose is to aid in the analysis of potential future trends based on historical data, not to provide definitive market forecasts.
SMA Cross with a Price FilterA moving average strategy generates an entry (buy) signal when the price goes above the moving average, and an exit (sell) signal when the price goes below the moving average. But it gives lots of whipsaws and noise depends on the moving average we use. A fast moving average gives more whipsaws and a slow moving average gives less whipsaws. To reduce the noise/whipsaws, we can add a filter on a fast/slow moving average. It will improve entry/exit performance significantly specially for those who don't want to watch the market actively.
I created this indicator with a price filter. This means the price of an underlying asset must be at least a specific percentage above its moving average to generate a buy signal and a specific percentage below its moving average to generate a sell signal. This price filter can also be a confirmation after the price crosses above/below its SMA. I couldn't find any indicator yet based on this idea. So I wrote this indicator and publishing it so it helps those who are interested.
I use 200 SMA and 3% price filter as default and using SPY as an example. So,
ENTRY signal when the closing price of SPY is 3% above its 200 SMA.
EXIT signal when the closing price of SPY is 3% below its 200 SMA.
Enjoy and let me know if it works.
** This chart only generates entry (buy) and exit (sell) signals. Please, do your own diligence to make any investment or trading decisions.
Z-ScoreThe "Z-Score" indicator is a unique and powerful tool designed to help traders identify overbought and oversold conditions in the market. Below is an explanation of its features, usefulness, and what makes it special:
Features:
Z-Score Calculation: The indicator calculates the Z-Score, a statistical measure that represents how far the current price is from the moving average (MA) in terms of standard deviations. It helps identify extreme price movements.
Customizable Parameters: Traders can adjust key parameters such as the Z-Score threshold, the type of MA (e.g., SMA, EMA), and the length of the moving average to suit their trading preferences.
Signal Options: The indicator offers flexibility in terms of signaling. Traders can choose whether to trigger signals when the Z-Score crosses the specified threshold or when it moves away from the threshold.
Visual Signals : Z-Score conditions are represented visually on the chart with color-coded background highlights. Overbought conditions are marked with a red background, while oversold conditions are indicated with a green background.
Information Table: A dynamic information table displays essential details, including the MA type, MA length, MA value, standard deviation, current price, and Z-Score. This information table helps traders make informed decisions.
Usefulness:
Overbought and Oversold Signals: Z-Score is particularly valuable for identifying overbought and oversold market conditions. Traders can use this information to potentially enter or exit positions.
Statistical Analysis: The Z-Score provides a statistical measure of price deviation, offering a data-driven approach to market analysis.
Customization: Traders can customize the indicator to match their trading strategies and preferences, enhancing its adaptability to different trading styles.
Visual Clarity: The visual signals make it easy for traders to quickly spot potential trade opportunities on the price chart.
In summary, the Z-Score indicator is a valuable tool for traders looking to incorporate statistical analysis into their trading strategies. Its customizability, visual signals, and unique statistical approach make it an exceptional choice for identifying overbought and oversold market conditions and potential trading opportunities.
Smart MAThe Smart MA indicator is a tool designed for traders seeking insights into market trends, with its foundation rooted in moving averages. It offers two distinctive color options, with "Crossing" as the default choice and "Direction" as an alternative. Let's delve deeper into these options:
1. "Crossing" Color Option (Default):
Key Features:
Utilizes the interaction between fast and slow moving averages.
The color of the base moving average (MA) line dynamically changes based on crossovers between these moving averages.
Offers real-time visual signals for potential shifts in market sentiment.
Interpretation:
With the "Crossing" color option as the default setting, the base MA line's color responds to the interaction of the fast and slow moving averages.
A crossover where the fast MA crosses above the slow MA may prompt the base MA line to change to a bullish color (e.g., teal), indicating a potential bullish trend.
Conversely, if the fast MA crosses below the slow MA, the base MA line's color may alter to represent a bearish sentiment (e.g., red). This color shift provides a visual marker for a potential bearish trend, potentially guiding traders towards shorting opportunities.
2. "Direction" Color Option:
Key Features:
Focuses on the directional trend of the base moving average (MA).
The color of the base MA line signifies the direction in which the base MA is moving.
Aids in quickly identifying the prevailing market trend.
Interpretation:
Uptrend - Bullish Direction: When the base MA slopes upward, indicating an average price increase over the chosen base MA length, the base MA line's color may shift to a bullish hue (e.g., teal). This visual cue signals a potential uptrend, suggesting favorable long positions.
Downtrend - Bearish Direction: If the base MA slopes downward, signifying an average price decrease over the selected base MA length, the base MA line could change to a bearish shade (e.g., red). This color shift acts as an indicator of a potential downtrend, implying possible opportunities for shorting.
Customization:
Both color options allow traders to adjust the indicator's parameters, including base MA length, MA type, fast MA length, and slow MA length, to align with their trading strategies and preferred timeframes.
In summary, the Smart MA indicator, based on moving averages, provides traders with two color options: the default "Crossing" and "Direction" as an alternative. The "Crossing" option leverages fast and slow moving averages to offer real-time visual cues for dynamic market shifts. The "Direction" option simplifies trend analysis by focusing on the directional trend of the base MA. The choice between these options depends on your trading style and the depth of analysis you require. With the Smart MA indicator, you're equipped to make informed trading decisions in today's financial markets.
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!
two_ma_logicLibrary "two_ma_logic"
The core logic for the two moving average strategy that is used as an example for the internal logic of
the "Template Trailing Strategy" and the "Two MA Signal Indicator"
ma(source, maType, length)
ma - Calculate the moving average of the given source for the given length and type of the average
Parameters:
source (float) : - The source of the values
maType (simple string) : - The type of the moving average
length (simple int) : - The length of the moving average
Returns: - The resulted value of the calculations of the moving average
getDealConditions(drawings, longDealsEnabled, shortDealsEnabled, endDealsEnabled, cnlStartDealsEnabled, cnlEndDealsEnabled, emaFilterEnabled, emaAtrBandEnabled, adxFilterEnabled, adxSmoothing, diLength, adxThreshold)
Parameters:
drawings (TwoMaDrawings)
longDealsEnabled (simple bool)
shortDealsEnabled (simple bool)
endDealsEnabled (simple bool)
cnlStartDealsEnabled (simple bool)
cnlEndDealsEnabled (simple bool)
emaFilterEnabled (simple bool)
emaAtrBandEnabled (simple bool)
adxFilterEnabled (simple bool)
adxSmoothing (simple int)
diLength (simple int)
adxThreshold (simple float)
TwoMaDrawings
Fields:
fastMA (series__float)
slowMA (series__float)
emaLine (series__float)
emaUpperBand (series__float)
emaLowerBand (series__float)
Engulfing and emaThis is a Pine Script script that helps you see the Engulfing Candlestick and Inside Bar (Boring Candle) candle patterns on the TradingView chart, as well as drawing two Exponential Moving Averages (EMA). Here's a simple explanation:
1. **Candle Pattern**:
- This script identifies the Engulfing Candlestick pattern, which indicates potential changes to the price. If this pattern is detected, the script will show a green (for buy) or red (for sell) arrow above or below that candle.
- The script also identifies the Inside Bar (Boring Candle), which indicates the period area in the market. This candle will be the color you choose (default is orange).
2. **Moving Average (EMA)**:
- This script also plots two Exponential Moving Averages (EMA) on the chart. EMA is a tool that helps you see price trends more clearly.
3. **Risk Management**:
- This script calculates the Stop Loss (SL) and Take Profit (TP) levels for each Engulfing pattern. This helps you manage your trading risks.
- Labels are displayed on the charts for SL and TP, so you know where to place them.
With the help of this script, you can easily identify important patterns in the market and manage your risks better. Make sure to choose a demo account before using it in real trading.
VARGAS"VARGAS" is an indicator that can be used in all timeframes on charts in the stock, crypto, and commodity markets. It allows trades to be opened according to the intersections of moving averages in different time periods.
It is an indicator using weighted moving averages. Using a weighted moving average has the following benefits for traders:
1) Precision and Smoothness: The WMA typically gives more weight to recent prices and therefore reacts faster to more recent data. This helps you catch price movements faster and recognize trend changes faster. On the other hand, the WMA is smoother than the simple moving average (SMA), which makes it less likely to generate false signals.
2) Trend Identification: The WMA is used to identify and analyze price trends. It is especially important for traders who want to track short-term movements. The WMA is used to assess the direction and strength of the trend.
3) Trading Signals: The WMA is used as part of various trading strategies. It is especially used in moving average crossover strategies. For example, a short-term WMA crossing the long-term WMA to the upside can be considered a buy signal, while a reversal can be interpreted as a sell signal.
4) Adaptability to Volatility: WMA can adapt to volatility by changing weighting factors. Investors can adopt a more flexible approach by assigning different weights based on market conditions and asset classes.
5) Data Correction: WMA can be helpful in reducing data noise. A single large price fluctuation can cause the SMA to be more affected, while the WMA reduces the impact of these fluctuations.
In our VARGAS coding, the intersection times of the 9-day and 15-day weighted moving averages allow us to decide the direction of the trend. The green and red cloud areas following the price candles make the strategy easy for the user to follow.
At the intersection between the 9-day weighted moving average and the 15-day weighted moving average, we can use buy and sell signals as follows:
If the 9-day weighted moving average crosses the 15-day weighted moving average upwards, buy,
Sell if the 9-day weighted moving average crosses the 15-day weighted moving average downwards.
Within the scope of this strategy, GOLDEN CROSS and DEATH CROSS intersections, which guide us for trend changes, are also included in the coding. Thus, it is aimed to add strength to our WMA 9 and WMA 15 intersection strategy as an idea.
VARGAS indicator gives better results for longer periods of 4 hours and above. As the time period increases, the probability of correct results will increase.
**
"VARGAS" hisse senedi, kripto, ve emtia piyasalarındaki grafiklerde her türlü zaman diliminde kullanılabilen bir indikatördür. Farklı zaman periyotlarındaki hareketli ortalamaların kesişimlerine göre işlem açılmasını sağlar.
Ağırlıklı hareketli ortalamalar kullanılarak hazırlanmış bir göstergedir. Ağırlıklı hareketli ortalama kullanmanın yatırımcılara aşağıdaki gibi faydaları bulunmaktadır:
1) Duyarlılık ve Pürüzsüzlük: WMA, tipik olarak son dönem fiyatlarına daha fazla ağırlık verir ve bu nedenle daha güncel verilere daha hızlı tepki verir. Bu, fiyat hareketlerini daha hızlı yakalamanıza ve daha hızlı trend değişikliklerini tanımanıza yardımcı olur. Diğer yandan, WMA, basit hareketli ortalamaya (SMA) göre daha pürüzsüzdür, bu da yanlış sinyal üretme olasılığını azaltır.
2) Trend Belirleme: WMA, fiyat trendlerini belirlemek ve analiz etmek için kullanılır. Özellikle kısa vadeli hareketleri izlemek isteyen yatırımcılar için önemlidir. WMA, trendin yönünü ve gücünü değerlendirmek için kullanılır.
3) Ticaret Sinyalleri: WMA, çeşitli ticaret stratejilerinin bir parçası olarak kullanılır. Özellikle hareketli ortalama crossover stratejilerinde kullanılır. Örneğin, kısa vadeli WMA'nın uzun vadeli WMA'yı yukarı yönlü kesmesi bir alım sinyali olarak kabul edilebilir, tersine dönmesi ise bir satış sinyali olarak yorumlanabilir.
4) Volatiliteye Uyarlanabilirlik: WMA, ağırlıklandırma faktörlerini değiştirerek volatiliteye uyum sağlayabilir. Yatırımcılar, piyasa koşullarına ve varlık sınıflarına göre farklı ağırlıklar atayarak daha esnek bir yaklaşım benimseyebilirler.
5) Veri Düzeltme: WMA, veri gürültüsünü azaltmada yardımcı olabilir. Tek bir büyük fiyat dalgalanması, SMA'nın daha fazla etkilenmesine neden olabilirken, WMA bu dalgalanmaların etkisini azaltır.
VARGAS isimli kodlamamızda ise 9 günlük ve 15 günlük ağırlıklı hareketli ortalamaların kesişme zamanları trendin yönüne karar vermemizi sağlar. Fiyat mumlarını takip eden yeşil ve kırmızı bulut alanları stratejinin kullanıcı tarafından kolaylıkla takip edilmesini sağlamaktadır.
9 Günlük Ağırlıklı hareketli ortalama, 15 Günlük Ağırlıklı hareketli ortalama arasındaki kesişimde al ve sat sinyallerini şu şekilde kullanabiliriz:
Eğer 9 günlük ağırlıklı hareketli ortalama 15 günlük ağırlıklı hareketli ortalamayı yukarı doğru kesiyorsa al,
Eğer 9 günlük ağırlıklı hareketli ortalama, 15 günlük ağırlıklı hareketli ortalamayı aşağı doğru keserse sat.
Bu strateji kapsamında trend değişimleri için bizlere yön veren GOLDEN CROSS ve DEATH CROSS kesişimleri de kodlamanın içerisinde dahil edilmiştir. Böylelikle WMA 9 ve WMA 15 kesişim stratejimize fikir olarak güç katması hedeflenmiştir.
VARGAS indikatörü 4 saat ve üzeri daha uzun periyotlarda daha iyi sonuçlar vermektedir. Zaman periyodu büyüdükçe doğru sonuç verme olasılığı artacaktır.
Adaptive Trend Indicator [Quantigenics]Our Adaptive Trend Indicator is an advanced trading indicator using price and time series analysis to adapt to market trends. It calculates a weighted average of the median price and twice-smoothed average price, then applies a linear regression over twice the user-defined period, generating a trend line. This trend line represents the prevailing market direction and adjusts dynamically based on price fluctuations. When the Adaptive Trend value increases compared to the previous value, the line turns aqua, signaling an upward trend. Conversely, if it decreases, the line turns red, indicating a downward trend. This color coding provides visual guidance for traders. By combining advanced statistical techniques with real-time adaptation, the Adaptive Trend indicator provides timely trend information, supporting traders in navigating various market conditions.
Additionally, this indicator may be applied multiple times to the same chart. Traders may adjust the length of each instance to show a group of trendlines that can indicate when price action is overbought or oversold as well as support or resistance at different indicator lengths. Example below.
CRYPTO:BTCUSD
CRYPTO:BTCUSD
NASDAQ:TSLA
We hope you enjoy this indicator. Happy Trading!
AI Moving Average (Expo)█ Overview
The AI Moving Average indicator is a trading tool that uses an AI-based K-nearest neighbors (KNN) algorithm to analyze and interpret patterns in price data. It combines the logic of a traditional moving average with artificial intelligence, creating an adaptive and robust indicator that can identify strong trends and key market levels.
█ How It Works
The algorithm collects data points and applies a KNN-weighted approach to classify price movement as either bullish or bearish. For each data point, the algorithm checks if the price is above or below the calculated moving average. If the price is above the moving average, it's labeled as bullish (1), and if it's below, it's labeled as bearish (0). The K-Nearest Neighbors (KNN) is an instance-based learning algorithm used in classification and regression tasks. It works on a principle of voting, where a new data point is classified based on the majority label of its 'k' nearest neighbors.
The algorithm's use of a KNN-weighted approach adds a layer of intelligence to the traditional moving average analysis. By considering not just the price relative to a moving average but also taking into account the relationships and similarities between different data points, it offers a nuanced and robust classification of price movements.
This combination of data collection, labeling, and KNN-weighted classification turns the AI Moving Average (Expo) Indicator into a dynamic tool that can adapt to changing market conditions, making it suitable for various trading strategies and market environments.
█ How to Use
Dynamic Trend Recognition
The color-coded moving average line helps traders quickly identify market trends. Green represents bullish, red for bearish, and blue for neutrality.
Trend Strength
By adjusting certain settings within the AI Moving Average (Expo) Indicator, such as using a higher 'k' value and increasing the number of data points, traders can gain real-time insights into strong trends. A higher 'k' value makes the prediction model more resilient to noise, emphasizing pronounced trends, while more data points provide a comprehensive view of the market direction. Together, these adjustments enable the indicator to display only robust trends on the chart, allowing traders to focus exclusively on significant market movements and strong trends.
Key SR Levels
Traders can utilize the indicator to identify key support and resistance levels that are derived from the prevailing trend movement. The derived support and resistance levels are not just based on historical data but are dynamically adjusted with the current trend, making them highly responsive to market changes.
█ Settings
k (Neighbors): Number of neighbors in the KNN algorithm. Increasing 'k' makes predictions more resilient to noise but may decrease sensitivity to local variations.
n (DataPoints): Number of data points considered in AI analysis. This affects how the AI interprets patterns in the price data.
maType (Select MA): Type of moving average applied. Options allow for different smoothing techniques to emphasize or dampen aspects of price movement.
length: Length of the moving average. A greater length creates a smoother curve but might lag recent price changes.
dataToClassify: Source data for classifying price as bullish or bearish. It can be adjusted to consider different aspects of price information
dataForMovingAverage: Source data for calculating the moving average. Different selections may emphasize different aspects of price movement.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
MACD Bands - Multi Timeframe [TradeMaster Lite]We present a customizable MACD indicator, with the following features:
Multi-timeframe
Deviation bands to spot unusual volatility
9 Moving Average types
Conditional coloring and line crossings
👉 What is MACD?
MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes, overbought and oversold conditions, and potential reversals.
👉 Multi-timeframe:
This feature allows to analyze the same market data on multiple time frames, which can be in help to identify trends and patterns that would not be visible on a single time frame. When using the multi-timeframe feature, it is important to start with the higher time frame and then look for confirmation on the lower time frames. This will help you to avoid false signals. Please note that only timeframes higher than the chart timeframe is supported currently with this feature enabled. Might get updated in the future.
👉 Deviation bands to spot unusual volatility:
Deviation bands are plotted around the Signal line that can be in help to identify periods of unusual volatility. When the MACD line crosses outside of the deviation bands, it suggests that the market is becoming more volatile and a strong trend may form in that direction.
👉 9 Moving Average types can be used in the script. Each type of moving average offers a unique perspective and can be used in different scenarios to identify market trends.
SMA (Simple Moving Average): This calculates the average of a selected range of values, by the number of periods in that range.
SMMA (Smoothed Moving Average): This takes into account all data available and assigns equal weighting to the values.
EMA (Exponential Moving Average): This places a greater weight and significance on the most recent data points.
DEMA (Double Exponential Moving Average): This is a faster-moving average that uses a proprietary calculation to reduce the lag in data points.
TEMA (Triple Exponential Moving Average): This is even quicker than the DEMA, helping traders respond more quickly to changes in trend.
LSMA (Least Squares Moving Average): This moving average applies least squares regression method to determine the future direction of the trend.
HMA (Hull Moving Average): This moving average is designed to reduce lag and improve smoothness, providing quicker signals for short-term market movements.
VWMA (Volume Weighted Moving Average): This assigns more weight to candles with a high volume, reflecting the true average values more accurately in high volume periods.
WMA (Weighted Moving Average): This assigns more weight to the latest data, but not as much as the EMA.
👉 Conditional coloring :
This feature colors the MACD line line based on it's direction and fills the area between the MACD line and Deviation band edges to highlight the potential volatility and the strength of the momentum. This can be useful to identify when the market is trending strongly and when it is in a more neutral or choppy state.
👉 MACD Line - Signal Line crossings:
This is a classic MACD trading signal that occurs when the MACD line crosses above or below the signal line. Crossovers can be used to identify potential trend reversals. This can be a bullish or bearish signal, depending on the direction of the crossover.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the indicator is using moving averages, which are lagging indicators.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Volume-Weighted Kaufman's Adaptive Moving AverageThe Volume-Weighted Kaufman's Adaptive Moving Average (VW-KAMA) is a technical indicator that combines the Volume-Weighted Moving Average (VWMA) and the Kaufman's Adaptive Moving Average (KAMA) to create a more responsive and adaptable moving average.
Advantages:
Volume-Weighted: It takes into account the volume of trades, giving more weight to periods with higher trading volume, which can help filter out periods of low activity.
Adaptive: The indicator adjusts its smoothing constant based on market conditions, becoming more sensitive in trending markets and less sensitive in choppy or sideways markets.
Versatility: VW-KAMA can be used for various purposes, including trend identification, trend following, and determining potential reversal points and act as dynamic support and resistance level.
VCC SmtmWorks better for Cryptos (1W and greater than) timeframes.
This strategy incorporates multiple indicators to make informed trading signals. It leverages the Stochastic indicator to assess price momentum, utilizes the Bollinger Band to identify potential oversold and overbought conditions, and closely monitors Moving Averages to gauge the trend's bullish or bearish nature.
A long signal will be displayed if the following conditions are met:
The Stochastic D and Stochastic K both indicate an oversold condition, with Stochastic K being lower than Stochastic D.
The current Price Low is below the Bollinger Lower Band.
The Price Close is currently below all Moving Averages.
A Death Cross pattern has formed among the Moving Averages.
A short signal will be displayed if the opposite of the long conditions are true:
The Stochastic D and Stochastic K both indicate an overbought condition, with Stochastic K being higher than Stochastic D.
The current Price High is above the Bollinger Upper Band.
The Price Close is currently above all Moving Averages.
A Golden Cross pattern has formed among the Moving Averages.
Ahsan Tufail Precise MA Crossover Filter for Reliable SignalsIntroduction:
In the ever-evolving world of Forex trading, strategies that provide a competitive edge are highly sought after. The Moving Average (MA) crossover technique is a popular long-term approach, but its vulnerability to false signals can lead to potential losses. To overcome this challenge, we introduce a game-changing MA crossover filter designed to weed out false signals and unlock the full potential of this strategy. In this article, we delve into the mechanics of this filter, providing a comprehensive analysis of its components and how it enhances the accuracy of buy and sell signals.
The Power of the MA Crossover Filter:
The essence of our MA crossover filter lies in the integration of a specialized indicator that operates on a scale of 0 to 100. This ingenious indicator dynamically measures the distance between the middle Bollinger band and either the upper or lower Bollinger band. By analyzing the values of the last 504 candlesticks, it maps the range from 50 to 100 for the largest and smallest distances between the middle and upper Bollinger bands. Similarly, for values ranging from 0 to 50, it measures the distance between the middle and lower Bollinger bands.
Unveiling the Signal Execution Process:
The brilliance of this filter is revealed in its meticulous execution of buy and sell signals, which significantly reduces false crossovers. Let's explore the process step-by-step:
Buy Signal Precision:
To initiate a buy signal, the price must be positioned above the 200-period Simple Moving Average (SMA).
The filter validates the crossover by checking the indicator's value, ensuring it falls below the threshold of 25.
Sell Signal Accuracy:
For a sell signal, the price must be below the 200-period Simple Moving Average (SMA).
The filter confirms the crossover by verifying the indicator's value, which should exceed the threshold of 75.
This selective approach ensures that only high-confidence crossovers are considered, maximizing the potential for profitable trades.
Fine-Tuning the Filter for Optimal Performance:
While the MA crossover filter exhibits its prowess in GBPUSD and EURUSD currency pairs, it may require adjustments for other pairs. Currency pairs possess unique characteristics, and adapting the filter to specific behavior is crucial for its success.
To fine-tune the filter for alternative currency pairs, traders should conduct rigorous backtesting and analyze historical price data. By experimenting with indicator threshold values, traders can calibrate the filter to accurately match the dynamics of the target currency pair. This iterative process allows for customization, ultimately resulting in a finely-tuned filter that aligns with the unique behavior of the selected market.
Conclusion:
The MA crossover filter represents a paradigm shift in long-term Forex trading strategies. By intelligently filtering false signals, this precision tool unleashes the true potential of the MA crossover technique, elevating its profitability and enhancing overall trading performance. While no strategy guarantees absolute success, incorporating this filter empowers traders with a heightened level of confidence in their buy and sell signals. Embracing the power of this innovative filter can be a transformative step towards mastering Forex profits and staying ahead in the dynamic world of currency trading.
Major and Minor Trend Indicator by Nikhil34a V 2.2Title: Major and Minor Trend Indicator by Nikhil34a V 2.2
Description:
The Major and Minor Trend Indicator v2.2 is a comprehensive technical analysis script designed for use with the TradingView platform. This powerful tool is developed in Pine Script version 5 and helps traders identify potential buying and selling opportunities in the stock market.
Features:
SMA Trend Analysis: The script calculates two Simple Moving Averages (SMAs) with user-defined lengths for major and minor trends. It displays these SMAs on the chart, allowing traders to visualize the prevailing trends easily.
Surge Detection: The indicator can detect buying and selling surges based on specific conditions, such as volume, RSI, MACD, and stochastic indicators. Both Buying and Selling surges are marked in black on the chart.
Option Buy Zone Detection: The script identifies the option buy zone based on SMA crossovers, RSI, and MACD values. The buy zone is categorized as "CE Zone" or "PE Zone" and displayed in the table along with the trigger time.
Two-Day High and Low Range: The script calculates the highest high and lowest low of the previous two trading days and plots them on the chart. The area between these points is shaded in semi-transparent green and red colors.
Crossover Analysis: The script analyzes moving average crossovers on multiple timeframes (2-minute, 3-minute, and 5-minute) and displays buy and sell signals accordingly.
Trend Identification: The script identifies the major and minor trends as either bullish or bearish, providing valuable insights into the overall market sentiment.
Usage:
Customize Major and Minor SMA Periods: Adjust the lengths of major and minor SMAs through input parameters to suit your trading preferences.
Enable/Disable Moving Averages: Choose which SMAs to display on the chart by toggling the "showXMA" input options.
Set Surge and Option Buy Zone Thresholds: Modify the surgeThreshold, volumeThreshold, RSIThreshold, and StochThreshold inputs to refine the surge and buy zone detection.
Analyze Crossover Signals: Monitor the crossover signals in the table, categorized by timeframes (2-minute, 3-minute, and 5-minute).
Explore Market Bias and Distance to 2-Day High/Low: The table provides information on market bias, current price movement relative to the previous two-day high and low, and the option buy zone status.
Additional Use Cases:
Surge Indicator:
The script includes a Surge Indicator that detects sudden buying or selling surges in the market. When a buying surge is identified, the "BSurge" label will appear below the corresponding candle with black text on a white background. Similarly, a selling surge will display the "SSurge" label in white text on a black background. These indicators help traders quickly spot strong buying or selling activities that may influence their trading decisions. These surges can be used to identify sudden premium dump zones.
Option Buy Zone:
The Option Buy Zone is an essential feature that identifies potential zones for buying call options (CE Zone) or put options (PE Zone) based on specific technical conditions. The indicator evaluates SMA crossovers, RSI, and MACD values to determine the current market sentiment. When the option buy zone is triggered, the script will display the respective zone ("CE Zone" or "PE Zone") in the table, highlighted with a white background. Additionally, the time when the buy zone was triggered will be shown under the "Option Buy Zone Trigger Time" column.
Price Movement Relative to 2-Day High/Low:
The script calculates the highest high and lowest low of the previous two trading days (high2DaysAgo and low2DaysAgo) and plots these points on the chart. The area between these two points is shaded in semi-transparent green and red colors. The green region indicates the price range between the highpricetoconsider (highest high of the previous two days) and the lower value between highPreviousDay and high2DaysAgo. Similarly, the red region represents the price range between the lowpricetoconsider (lowest low of the previous two days) and the higher value between lowPreviousDay and low2DaysAgo.
Entry Time and Current Zone:
The script identifies potential entry times for trades within the option buy zone. When a valid buy zone trigger occurs, the script calculates the entryTime by adding the durationInMinutes (user-defined) to the startTime. The entryTime will be displayed in the "Entry Time" column of the table. Depending on the comparison between optionbuyzonetriggertime and entryTime, the background color of the entry time will change. If optionbuyzonetriggertime is greater than entryTime, the background color will be yellow, indicating that a new trigger has occurred before the specified duration. Otherwise, the background color will be green, suggesting that the entry time is still within the defined duration.
Current Zone Indicator:
The script further categorizes the current zone as either "CE Zone" (call option zone) or "PE Zone" (put option zone). When the market is trending upwards and the minor SMA is above the major SMA, the currentZone will be set to "CE Zone." Conversely, when the market is trending downwards and the minor SMA is below the major SMA, the currentZone will be "PE Zone." This information is displayed in the "Current Zone" column of the table.
These additional use cases empower traders with valuable insights into market trends, buying and selling surges, option buy zones, and potential entry times. Traders can combine this information with their analysis and risk management strategies to make informed and confident trading decisions.
Note:
The script is optimized for identifying trends and potential trade opportunities. It is crucial to perform additional analysis and risk management before executing any trades based on the provided signals.
Happy Trading!
Higher Fibonacci EMAOverall image:
If the closing price is higher than the three Fibonacci EMAs (uptrend):
Thanks to @ZenAndTheArtOfTrading and his indicator "Higher Timeframe EMA", URL =
This is a trend-discriminating indicator that uses 3 EMAs.
The Williams Alligator is the underlying philosophy, and we have applied it to capture the larger trend.
It is set up for the current time frame + 2 higher time frames.
One of the upper time legs has a daily EMA length of 13 Fibonacci numbers.
The top-level time leg has a weekly EMA with a length of 5 Fibonacci.
If the current closing price of the ticker leg is higher than these three EMAs, the bar color will be green. If it is lower, it will be red. If it is neither, it will be gray.
If the bar color is green, it suggests that the trend is upward. If it is red, you can consider entering short. If it is gray, it is best not to enter anything.
twisted SMA strategy [4h] Hello
I would like to introduce a very simple strategy that uses a combination of 3 simple moving averages ( SMA 4 , SMA 9 , SMA 18 )
this is a classic combination showing the most probable trend directions
Crosses were marked on the basis of the color of the candles (bulish cross - blue / bearish cross - maroon)
ma 100 was used to determine the main trend, which is one of the most popular 4-hour candles
We define main trend while price crosses SMA100 ( for bullish trend I use green candle color )
The long position strategy was created in combination of 3 moving averages with Kaufman's adaptive moving average by alexgrover
The strategy is very accurate and is easy to use indicators
the strategy uses only Buy (Long) signals in a combination of crossovers of the SMA 4, SMA 9, SMA 18 and the Kaufman Adaptive Moving Average.
As a signal to close a long position, only the opposite signal of the intersection of 3 different moving averages is used
the current strategy is recommended for higher time zones (4h +) due to the strength of the closing candles, which translates into signal strength
works fascinatingly well for long-term bullish market assets (for example 4h Apple, Tesla charts)
Enjoy and trade safe ;)
Fibonacci Levels on Any Indicator [By MUQWISHI]▋ INTRODUCTION :
A “Fibonacci Levels on Any Indicator” can be applied to any indicator to draw Fibonacci levels based on provided conditions of two price points to produce a sequence of horizontal line levels starting from 0% to 100% in addition to extension levels. The 0% level is measured as the start of retracement, while the 100% level is the beginning of the extension levels. This tool was developed to be easy to add to any indicator, and it could be valuable to some traders in terms of managing trades by setting targets and reducing risk in the trend direction.
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▋ USAGE:
➤ NEEDS TO IDENTIFY 4 ELEMENTS:
1. Starting Point. What’re the conditions / When will the drawing of the Fibonacci levels begin?
2. Ending Point. What’re the conditions / When will the drawing of the Fibonacci levels end?
3. High Point. What is the price for a 100% Fibonacci level (0% for the downside)?
4. Low Point. What is the price for a 0% Fibonacci level (100% for the downside)?
➤ STARTING & ENDING POINTS CONDITIONS:
Need to specify the condition when the drawing of Fibonacci levels starts and ends, and the indicator shows different prepared conditions.
New Phase: Import a value (plot) from an existing indicator, where its status changes from NaN to a real number.
Crosses Above/Below: Import a value(1) (plot) from an existing indicator, where it crosses above/below value(2).
Reversal Up/Down: Import a value(1) (plot) from an existing indicator, where it rises/decreases than the previous value(1).
First/Last Bar: Useful to draw stationary Fibonacci levels.
➤ UPPER & LOWER PIVOTS (0% & 100%):
Need to specify the two price points representing 0% & 100% Fibonacci levels to expose the sequence of Fibonacci lines.
Upper Pivot. By default, the ATR Upper Band. It’s possible to import a custom value from an existing indicator.
Lower Pivot. By default, the ATR Lower Band. It’s possible to import a custom value from an existing indicator.
➤ FIBONACCI STYLING OPTIONS:
Ability to customize line & label style, color, reverse, and hide/show levels.
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▋ IMPLEMENTATION:
Here are some examples of implementing the indicator.
Note: All presented examples below are for demonstration purposes, and they're not trading suggestions.
＃ Example 1: (Reversal Up/Down)
We want to implement Fibonacci levels on the Hull MA by mohamed982 . Our requirements are as follows:
Fibonacci levels start when the Hull MA reverses up.
Fibonacci levels end when the Hull MA reverses down.
Upper Pivot is the ATR Upper Band.
Lower Pivot is the ATR Lower Band.
After adding the required indicator (Hull MA), here’re the implementation and results
＃ Example 2: (Crosses Above/Below)
We want to implement Fibonacci Level on the Squeeze Momentum by LazyBear . Our requirements are as follows:
Fibonacci levels start when the Squeeze Momentum histogram crosses above 0.
Fibonacci levels end when the Squeeze Momentum histogram crosses below 0.
Upper Pivot is the Bollinger Upper Band.
Lower Pivot is the Bollinger Lower Band.
After adding the required indicators (Squeeze Momentum & Bollinger Band), here’re the implementation and results
＃ Example 3: (Crosses Above/Below)
We want to implement Fibonacci Level on the Crossing Moving Averages. Our requirements are as follows:
Fibonacci levels start when the 20-EMA crosses above 100-MA.
Fibonacci levels end when the 20-EMA crosses below 100-MA.
Upper Pivot is the ATR Upper Band.
Lower Pivot is the ATR Lower Band.
After adding the required indicators (20-EMA & 100-MA), here’re the implementation and results
＃ Example 4: (New Phase: When the previous value is NaN, and the current value is a real number.)
We want to implement Fibonacci Level on the Supertrend. Our requirements are as follows:
Fibonacci levels start when an up-Supertrend (green) line shows up.
Fibonacci levels end when a down-Supertrend (red) line shows up.
Upper Pivot is the down-Supertrend.
Lower Pivot is the up-Supertrend.
After adding the required indicator (Supertrend), here’re the implementation and results
＃ Example 5: (First/Last Bar)
We want to implement Fibonacci Level between two points, 330 & 300. Our requirements are as follows:
Fibonacci levels start at first bar on the chart.
Fibonacci levels end at last bar on the chart.
Upper Pivot is 330.
Lower Pivot is 300.
Here’re the implementation and results.
To customize the number of bars back (like 50 bars)
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▋ Final Comments:
The “Fibonacci Levels on Any Indicator” is made to apply on other indicators for planning Fibonacci Levels.
It can be implemented in different ways, along with presented examples.
This indicator does not work with plots that were developed by drawing classes.
Please let me know if you have any questions.
Thank you.
Rail Line Levels [s3]Plots support/resistance lines based on a neutral signal (white portion) of the Rail Line (variable moving average) for a period of time designated by the user (defaults to 9 bars). Support/Resistance lines will be removed after a period of tests and can be determined by the user (defaults to 26). Support/Resistance is deemed not as important or strong after several touches or tests. The trailer uses a combination of the calculation for the Rail Line (variable moving average) and an ATR to show the overall trend direction.
The indicator is centered around a Variable Moving Average. The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility.
In addition to the VMA, the indicator makes use of the ATR which measures market volatility by decomposing the entire range of an asset price for that period. The true range is taken as the greatest of the following: current high less the current low; the absolute value of the current high less the previous close; and the absolute value of the current low less the previous close.
