Trailing Take Profit - Close Based📝 Description
This script demonstrates a new approach to the trailing take profit.
Trailing Take Profit is a price-following technique. When used, instead of setting a limit order for the take profit target exiting from your position at the specified price, a stop order is conditionally set when the take profit target is reached. Then, the stop price (a.k.a trailing price), is placed below the take profit target at a distance defined by the user percentagewise. On regular time intervals, the stop price gets updated by following the "Trail Barrier" price (high by default) upwards. When the current price hits the stop price you exit the trade. Check the chart for more details.
This script demonstrates how to implement the close-based Trailing Take Profit logic for long positions, but it can also be applied for short positions if the logic is "reversed".
📢 NOTE
To generate some entries and showcase the "Trailing Take Profit" technique, this script uses the crossing of two moving averages. Please keep in mind that you should not relate the Backtesting results you see in the "Strategy Tester" tab with the success of the technique itself.
This is not a complete strategy per se, and the backtest results are affected by many parameters that are outside of the scope of this publication. If you choose to use this new approach of the "Trailing Take Profit" in your logic you have to make sure that you are backtesting the whole strategy.
⚔️ Comparison
In contrast to my older "Trailing Take Profit" publication where the trailing take profit implementation was tick-based, this new approach is close-based, meaning that the update of the stop price occurs at the bar close instead of every tick.
While comparing the real-time results of the two implementations is like comparing apples to oranges, because they have different dynamic behavior, the new approach offers better consistency between the backtesting results and the real-time results.
By updating the stop price on every bar close, you do not rely on the backtester assumptions anymore (check the Reasoning section below for more info).
The new approach resembles the conditional "Trailing Exit" technique, where the condition is true when the current price crosses over the take profit target. Then, the stop order is placed at the trailing price and it gets updated on every bar close to "follow" the barrier price (high). On the other hand, the older tick-based approach had more "tight" dynamics since the trailing price gets updated on every tick leaving less room for price fluctuations by making it more probable to reach the trailing price.
🤔 Reasoning
This new close-based approach addresses several practical issues the older tick-based approach had. Those issues arise mainly from the technicalities of the TV Backtester. More specifically, due to the assumptions the Broker Emulator makes for the price action of the history bars, the backtesting results in the TV Backtester are exaggerated, and depending on the timeframe, the backtesting results look way better than they are in reality.
The effect above, and the inability to reason about the performance of a strategy separated people into two groups. Those who never use this feature, because they couldn't know for sure the actual effect it might have in their strategy, (even if it turned out to be more profitable) and those who abused this type of "repainting" behavior to show off, and hijack some boosts from the community by boasting about the "fake" results of their strategies.
Even if there are ways to evaluate the effectiveness of the tick-based approach that is applied in an existing strategy (this is out of the topic of this publication), it requires extra effort to do the analysis. Using this closed-based approach we can have more predictable results, without surprises.
⚠️ Caveats
Since this approach updates the trailing price on bar close, you must wait for at least one bar to close after the price crosses over the take profit target.
Moving_average
Johnny's Adjusted BB Buy/Sell Signal"Johnny's Adjusted BB Buy/Sell Signal" leverages Bollinger Bands and moving averages to provide dynamic buy and sell signals based on market conditions. This indicator is particularly useful for traders looking to identify strategic entry and exit points based on volatility and trend analysis.
How It Works
Bollinger Bands Setup: The indicator calculates Bollinger Bands using a specified length and multiplier. These bands serve to identify potential overbought (upper band) or oversold (lower band) conditions.
Moving Averages: Two moving averages are calculated — a trend moving average (trendMA) and a long-term moving average (longTermMA) — to gauge the market's direction over different time frames.
Market Phase Determination: The script classifies the market into bullish or bearish phases based on the relationship of the closing price to the long-term moving average.
Strong Buy and Sell Signals: Enhanced signals are generated based on how significantly the price deviates from the Bollinger Bands, coupled with the average candle size over a specified lookback period. The signals are adjusted based on whether the market is bullish or bearish:
In bullish markets, a strong buy signal is triggered if the price significantly drops below the lower Bollinger Band. Conversely, a strong sell signal is activated when the price rises well above the upper band.
In bearish markets, these signals are modified to be more conservative, adjusting the thresholds for triggering strong buy and sell signals.
Features:
Flexibility: Users can adjust the length of the Bollinger Bands and moving averages, as well as the multipliers and factors that determine the strength of buy and sell signals, making it highly customizable to different trading styles and market conditions.
Visual Aids: The script vividly plots the Bollinger Bands and moving averages, and signals are visually represented on the chart, allowing traders to quickly assess trading opportunities:
Regular buy and sell signals are indicated by simple shapes below or above price bars.
Strong buy and sell signals are highlighted with distinctive colors and placed prominently to catch the trader's attention.
Background Coloring: The background color changes based on the market phase, providing an immediate visual cue of the market's overall sentiment.
Usage:
This indicator is ideal for traders who rely on technical analysis to guide their trading decisions. By integrating both Bollinger Bands and moving averages, it provides a multi-faceted view of market trends and volatility, making it suitable for identifying potential reversals and continuation patterns. Traders can use this tool to enhance their understanding of market dynamics and refine their trading strategies accordingly.
Moving Average Crossover MonitorMoving Average Crossover Monitor: Gain Insight into Market Trends
The Moving Average Crossover Monitor is a specialized tool crafted for traders seeking to understand and predict market trends more effectively. This indicator's primary focus lies in analyzing consecutive candle movements above or below specified moving averages and providing predictive estimates based on historical data.
Key Features:
1. Consecutive Candle Tracking: The indicator meticulously counts and tracks the number of consecutive candles that close above or below a selected moving average (MA1). This tracking offers a tangible measure of trend persistence over time.
2. Historical Analysis for Future Prediction: By analyzing past trends, the indicator provides insights into potential future movements. It estimates the likelihood of upcoming candles continuing above or below the moving average based on historical patterns.
3. Dynamic Visualization: Moving averages (SMA, WMA, EMA) are dynamically plotted on the chart, clearly displaying crossover points and trend transitions.
How It Works:
1. Moving Average Calculation: Select your preferred moving average type (SMA, WMA, EMA) and define short and long periods. The indicator computes two moving averages (MA1 and MA2) based on these parameters.
2. Consecutive Candle Analysis:
- Above MA1: Tracks and counts consecutive candles closing above MA1, indicating potential bullish momentum.
- Below MA1: Tracks and counts consecutive candles closing below MA1, suggesting potential bearish sentiment.
3. Future Trend Prediction: Based on historical data of consecutive candle movements, the indicator estimates the likelihood of the next candle continuing in the same direction (above or below MA1).
Advantages for Traders:
1. Quantitative Insights: Use numerical data on consecutive candles to gauge trend strength and durability.
2. Predictive Analytics: Leverage historical patterns to anticipate future market movements and adjust trading strategies accordingly.
3. Decision Support Tool: Gain clarity on trend transitions, empowering timely and informed trading decisions.
Disclaimer:
This indicator is provided for educational purposes only and should not be considered as financial advice. Trading involves risks, and past performance is not indicative of future results. Traders should conduct their own analysis and exercise caution when making trading decisions based on any indicator or tool. Always consider risk management strategies and consult with a qualified financial advisor if needed.
Coiled Moving AveragesThis indicator detects when 3 moving averages converge and become coiled. This indicates volatility contraction which often leads to volatility expansion, i.e. large price movements.
Moving averages are considered coiled when the percent difference from each moving average to the others is less than the Coil Tolerance % input value.
This indicator is unique in that it detects when moving averages converge within a specified percent range. This is in contrast to other indicators that only detect moving average crossovers, or the distance between price and a moving average.
This indicator includes options such as:
- % difference between the MAs to be considered coiled
- type and length of MAs
- background color to indicate when the MAs are coiled
- arrows to indicate if price is above or below the MAs when they become coiled
While coiling predicts an increased probability for volatility expansion, it does not necessarily predict the direction of expansion. However, the arrows which indicate whether price is above or below the moving average coil may increase the odds of a move in that direction. Bullish alignment of the moving averages (faster MAs above the slower MAs) may also increase the odds of a bullish break, while bearish alignment may increase the odds of a bearish break.
Note that mean reversion back to the MA coil is common after initial volatility expansion. This can present an entry opportunity for traders, as mean reversion may be followed by continuation in the direction of the initial break.
Experiment with different settings and timeframes to see how coiled MAs can help predict the onset of volatility.
On Chart Reverse PMARPIntroducing the On Chart Reverse PMARP
Concept
The PMAR/PMARP is an indicator which calculates :
The ratio between a chosen source price and a user defined moving average ( Price Moving Average Ratio ).
The percentile of the PMAR over an adjustable lookback period ( Price Moving Average Ratio Percentile ).
Here I have 'reverse engineered' the PMAR / PMARP formulas to derive several functions.
These functions calculate the chart price at which the PMARP will cross a particular PMARP level.
I have employed those functions here to give the "crossover" price levels for :
Scale high level
High alert level
High test level
Mid-Line
Low test level
Low alert level
Scale low level
Knowing the price at which these various user defined PMARP levels will be crossed can be useful in setting price levels that trigger components of various strategies.
For example: A trader can use the reverse engineered upper high alert price level, to set a take profit limit order on a long trade, which was entered when PMARP was low.
This 'On Chart' RPMARP indicator displays these 'reverse engineered' price levels as plotted lines on the chart.
This allows the user to see directly on the chart the interplay between the various crossover levels and price action.
This allows for more intuitive Technical Analysis, and allows traders to precisely plan entries, exits and stops for their PMARP based trades.
It optionally plots the user defined moving average from which the PMARP is derived.
It also optionally plots the 'Reverse engineered' midline, test level lines, visual alert level lines, scale max. and min. level lines, and background alert signal bars.
Main Properties :
Price Source :- Choice of price values or external value from another indicator ( default *Close ).
PMAR Length :- User defined time period to be used in calculating the Moving Average for the Price Moving Average Ratio and the PMAR component of the PMARP ( default *21 ).
MA Type :- User defined type of Moving Average which creates the MA for the Price Moving Average Ratio and the PMAR component of the PMARP ( default *EMA ).
Checkbox and color selection box for the optionally plotted Moving Average line.
Price Moving Average Ratio Percentile Properties :
PMARP Length :- The lookback period to be used in calculating the Price Moving Average Ratio Percentile ( default *350 ).
PMARP Level Settings :
Scale High :- Scale high level ( Locked at 100 ).
Hi Alert :- High alert level ( default *99 ).
Hi Test :- High test level ( default *70 ).
Lid Line :- Mid line level ( Locked at 50 ).
Lo Test :- Low test level ( default *30 ).
Lo Alert :- Low alert level ( default *1 ).
Scale Low :- Scale low level ( Locked at 0 ).
Checkboxes and color selection boxes for each of the optionally plotted lines.
PMARP MA Settings :
Checkbox to optionally plot 'reverse engineered' PMARP MA line.
PMARP MA Length :- The time period to be used in calculating the signal Moving Average for the Line Plot ( default *20 ).
PMARP MA Type :- The type of Moving Average which creates the signal Moving Average for the Line Plot ( default *EMA ).
Color Type :- User choice from dropdown between "single" or "dual" line color ( default *dual ).
Single Color :- Color selection box.
Dual Color :- Color selection box. Note: Defines the color of the signal MA when the MA is falling in "dual" line coloring mode.
Signal Bar Settings :
Signal Bars Transparency :- Sets the transparency of the vertical signal bars ( default *70 ).
Checkboxes and color selection boxes for Upper/Lower alert signal bars.
Moving point of controlLibrary "moving_poc"
method getMovingPoc(averagePriceByVolumeHistory, ltfVolumeSerie, ltfPriceSerie, nbBarsToLookback)
Volume point of control (PoC) extracted from lower time frame data and previous time period
Namespace types: array
Parameters:
averagePriceByVolumeHistory (array) : An array of float to record previous PoC average
ltfVolumeSerie (array) : Source of volume for the lower timeframe (ltf)
ltfPriceSerie (array) : Source of price for the lower timeframe
nbBarsToLookback (int) : A number of bars determining the lookback period of this PoC
Returns: Serie of PoC
Johnny's Moving Average RibbonProps to Madrid for creating the original script: Madrid Moving Average Ribbon.
All I did was upgrade it to pinescript v5 and added a few changes to the script.
Features and Functionality
Moving Average Types: The indicator offers a choice between exponential moving averages (EMAs) and simple moving averages (SMAs), allowing users to select the type that best fits their trading strategy.
Dynamic Color Coding: Each moving average line within the ribbon changes color based on its direction and position relative to a reference moving average, providing visual cues for market sentiment and trend strength.
Lime Green: Indicates an uptrend and potential long positions, shown when a moving average is rising and above the longer-term reference MA.
Maroon: Suggests caution for long positions or potential short reentry points, displayed when a moving average is rising but below the reference MA.
Ruby Red: Represents a downtrend, suitable for short positions, shown when a moving average is falling and below the reference MA.
Green: Signals potential reentry points for downtrends or warnings for uptrend reversals, displayed when a moving average is falling but above the reference MA.
Usage and Application
Trend Identification: Traders can quickly ascertain the market's direction at a glance by observing the predominant color of the ribbon and its orientation.
Trade Entry and Exit Points: The color transitions within the ribbon can signal potential entry or exit points, with changes from green to lime or red to maroon indicating shifts in market momentum.
Customization: Users have the flexibility to toggle between exponential and simple moving averages, allowing for a tailored analytical approach that aligns with their individual trading preferences.
Technical Specifications
The ribbon consists of multiple moving averages calculated over different periods, typically ranging from shorter to longer-term intervals to capture various aspects of market behavior.
The color dynamics are determined by comparing each moving average to a reference point, often a longer-term moving average within the ribbon, to assess the relative trend strength and direction.
Trend: SMA with ATR Bands and EMA [Oxyge]Brief introduction:
Easy to use trend indicator to help find entry positions
How it works:
1, short-term trend judgment: EMA is greatly influenced by short-term trends, so it is very good to use it as a tool for judging short-term trends. At the same time, the filtering function has been added:
Long: green
Short: red
No direction: blue
2, the general trend judgment: the use of 30SMA as the default trend line, while increasing the ATR band to increase the scope of judgment.
How do I use (assuming it is now a period of long market):
1, first look at the 30SMA and ATR band, if the slope is positive (> 45 °), then ready to go long!
2. When price comes to the ATR band, the ATR band is my point of interest
3. Wait for a test of the ATR band: the EMA turns green, which means that the short-term trend is already nice and long.
4. Stop Loss Placement: Stop Loss is placed at the most recent low.
Closing
Enjoy it!
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简单介绍：
简单易用的趋势指标，帮助寻找进场位置
它怎么工作：
1、短期趋势判断：EMA受短期趋势影响很大，因此把它作为判断短期趋势的工具非常好用。同时增加了过滤功能：
多头：绿色
空头：红色
无方向：蓝色
2、大趋势判断：使用30SMA作为默认趋势线，同时增加ATR带增加判断范围。
我是如何使用的（假设是现在是一段多头行情）：
1、先看30SMA和ATR带，如果斜率为正（>45°），那么准备做多
2、当价格来到ATR带时，ATR带是我的感兴趣的点
3、等待一次对于ATR带的测试：EMA变成绿色，代表短期已经是不错的多头趋势
4、止损放置：止损放置在最近的低点
结束
请享受它
ChartRage - ELMAELMA - Exponential Logarithmic Moving Average
This is a new kind of moving average that is using exponential normalization of a logarithmic formula. The exponential function is used to average the weight on the moving average while the logarithmic function is used to calculate the overall price effect.
Features and Settings:
◻️ Following rate of change instead of absolute levels
◻️ Choose input source of the data
◻️ Real time signals through price interaction
◻️ Change ELMA length
◻️ Change the exponential decay rate
◻️ Customize base color and signal color
Equation of the ELMA:
This formula calculates a weighted average of the logarithm of prices, where more recent prices have a higher weight. The result is then exponentiated to return the ELMA value. This approach emphasizes the relative changes in price, making the ELMA sensitive to the % rate of change rather than absolute price levels. The decay rate can be adjusted in the settings.
Comparison EMA vs ELMA:
In this image we see the differences to the Exponential Moving Average.
Price Interaction and earlier Signals:
In this image we have added the bars, so we can see that the ELMA provides different signals of resistance and support zones and highlights them, by changing to the color yellow, when prices interact with the ELMA.
Strategy by trading Support and Resistance Zones:
The ELMA helps to evaluate trends and find entry points in bullish market conditions, and exit points in bearish conditions. When prices drop below the ELMA in a bull market, it is considered a buying signal. Conversely, in a bear market, it serves as an exit signal when prices trade above the ELMA.
Volatile Markets:
The ELMA works on all timeframes and markets. In this example we used the default value for Bitcoin. The ELMA clearly shows support and resistance zones. Depending on the asset, the length and the decay rate should be adjusted to provide the best results.
Real Time Signals:
Signals occur not after a candle closes but when price interacts with the ELMA level, providing real time signals by shifting color. (default = yellow)
Disclaimer* All analyses, charts, scripts, strategies, ideas, or indicators developed by us are provided for informational and educational purposes only. We do not guarantee any future results based on the use of these tools or past data. Users should trade at their own risk.
This work is licensed under Attribution-NonCommercial-ShareAlike 4.0 International
creativecommons.org
Leading T3Hello Fellas,
Here, I applied a special technique of John F. Ehlers to make lagging indicators leading. The T3 itself is usually not realling the classic lagging indicator, so it is not really needed, but I still publish this indicator to demonstrate this technique of Ehlers applied on a simple indicator.
The indicator does not repaint.
In the following picture you can see a comparison of normal T3 (purple) compared to a 2-bar "leading" T3 (gradient):
The range of the gradient is:
Bottom Value: the lowest slope of the last 100 bars -> green
Top Value: the highest slope of the last 100 bars -> purple
Ehlers Special Technique
John Ehlers did develop methods to make lagging indicators leading or predictive. One of these methods is the Predictive Moving Average, which he introduced in his book “Rocket Science for Traders”. The concept is to take a difference of a lagging line from the original function to produce a leading function.
The idea is to extend this concept to moving averages. If you take a 7-bar Weighted Moving Average (WMA) of prices, that average lags the prices by 2 bars. If you take a 7-bar WMA of the first average, this second average is delayed another 2 bars. If you take the difference between the two averages and add that difference to the first average, the result should be a smoothed line of the original price function with no lag.
T3
To compute the T3 moving average, it involves a triple smoothing process using exponential moving averages. Here's how it works:
Calculate the first exponential moving average (EMA1) of the price data over a specific period 'n.'
Calculate the second exponential moving average (EMA2) of EMA1 using the same period 'n.'
Calculate the third exponential moving average (EMA3) of EMA2 using the same period 'n.'
The formula for the T3 moving average is as follows:
T3 = 3 * (EMA1) - 3 * (EMA2) + (EMA3)
By applying this triple smoothing process, the T3 moving average is intended to offer reduced noise and improved responsiveness to price trends. It achieves this by incorporating multiple time frames of the exponential moving averages, resulting in a more accurate representation of the underlying price action.
Thanks for checking this out and give a boost, if you enjoyed the content.
Best regards,
simwai
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Credits to @loxx
DynamicMAsLibrary "DynamicMAs"
Custom MA's that allow a dynamic calculation beginning from the first bar, irrespective of lookback period.
SMA(src, length)
Dynamic SMA
Parameters:
src (float)
length (int)
EMA(src, length)
Dynamic EMA
Parameters:
src (float)
length (int)
DEMA(src, length)
Dynamic DEMA
Parameters:
src (float)
length (int)
TEMA(src, length)
Dynamic TEMA
Parameters:
src (float)
length (int)
WMA(src, length)
Dynamic WMA
Parameters:
src (float)
length (int)
HMA(src, length)
Dynamic HMA
Parameters:
src (float)
length (int)
VWMA(src, length)
Dynamic VWMA
Parameters:
src (float)
length (int)
SMMA(src, length)
Dynamic SMMA
Parameters:
src (float)
length (int)
LSMA(src, length)
Dynamic LSMA
Parameters:
src (float)
length (int)
ALMA(src, length, offset_sigma, sigma)
Dynamic ALMA
Parameters:
src (float)
length (int)
offset_sigma (float)
sigma (float)
HyperMA(src, length)
Dynamic HyperbolicMA
Parameters:
src (float)
length (int)
Normalised Gaussian MACD Heikin Ashi [AlgoAlpha]🌟🚀Introducing the Normalised Gaussian MACD Heikin Ashi by AlgoAlpha !
Elevate your trading game with this multipurpose indicator, crafted to pinpoint trend continuation opportunities while highlighting volatility and oversold/overbought conditions. Whether you're embarking on your trading journey or you're a seasoned market navigator, this tool is equipped with intuitive visual cues to amplify your decision-making prowess and enrich your market analysis toolkit. Let's dive into the key features, utilization strategies, and the innovative logic underpinning this indispensable trading asset.
Key Features:
🔧 Enhanced Customization : Tailor your experience with adjustable parameters including Fast Length, Slow Length, Source, Macd Smoothing Length, Signal Smoothing, and more.
🖌️ Visual Enhancements : Opt for Heikin Ashi Candles display and choose to show or hide MACD and Signal lines for a clutter-free chart.
🌈 Color Customization : Personalize your chart with selectable primary and secondary up and down colors to suit your visual preferences.
🔔 Advanced Alert System : Stay ahead with comprehensive alert conditions for market movements, including trend reversals, bullish and bearish swings.
How to Use:
Configure the Inputs : Start by customizing the indicator’s settings to match your trading style. Adjust the length parameters, source selection, and smoothing lengths to fine-tune the indicator’s sensitivity.
Interpret the Candles and Colors : Keep an eye on the Heikin Ashi Candles (if enabled) and the color shifts within the MACD Line Candles and Histogram. These visual cues are pivotal for identifying market trends.
Analyze with Flexibility : Make use of the option to display or hide the MACD and Signal lines based on your analysis requirements. This can help in focusing on the essential information without overcrowding your chart.
Utilize Alerts for Timely Decisions : Leverage the extensive alert system to get notified about potential market movements. These alerts can help you capture the right moment to enter or exit trades.
Basic Logic:
The Normalised Gaussian MACD Heikin Ashi by AlgoAlpha integrates Gaussian filters to elevate the traditional MACD indicator's efficiency, providing a more detailed analysis of market trends and momentum. This sophisticated approach reduces noise and enhances signal speed, which is crucial for identifying momentum trading opportunities.
Gaussian Filter Implementation : The core innovation lies in applying a Gaussian filter to the input price series. This mathematical technique smooths the price data, significantly reducing market noise and making trend signals clearer and more reliable. The Gaussian filter calculates a smoothed value for each data point by weighting nearby data points, with the weights decreasing as the distance from the current data point increases.
Refined MACD Calculation : The Gaussian MACD is derived from the difference between two Gaussian smoothed moving averages (fast and slow), which are then normalized to account for market volatility. This normalization process involves dividing the difference by a measure of market range (such as the high minus the low), and multiplying by a factor (usually 100) to scale the indicator appropriately.
🔑 This script is a versatile tool designed to aid in the identification of momentum and reversals, helping traders to make informed decisions based on technical analysis. Its customization options allow for a tailored analysis experience, fitting the unique needs and strategies of each trader.
series_collectionLibrary "series_collection"
A personal collection of commonly used series types like moving averages that are supported directly by
the pinescript library ('ALMA', 'DEMA', 'EMA', 'HMA', 'RMA', 'SMA', 'SWMA', 'VWMA', 'WMA'), highest and lowest source,
median and pivots. One single function (with overloads) that can be configured easily by the user input and can be
used as a core piece of functionality for many user cases. This library was created to abstract away and re-use this
commonly used functionality in my "Two MA Signal Indicator" script and the "Template Trailing Strategy" script. Both
of them use the "two_ma_logic" for defining entry and exit signals. While this piece of work does not contain any
novel mathematical expressions and just adds a convinient (and configurable) way to do things, I hope that might add
value to other scripts as well and future projects.
cust_series(length, seriesType, source)
cust_series - Calculate the custom series of the given source for the given length and type
Parameters:
length (simple int) : - The length of the custom series
seriesType (simple string) : - The type of the custom series
source (float) : - The source of the values
Returns: - The resulting value of the calculations of the custom series
cust_series(length, seriesType, source)
cust_series - Calculate the custom series of the given source for the given length and type
Parameters:
length (simple float) : - The length of the custom series (ceiled)
seriesType (simple string) : - The type of the custom series
source (float) : - The source of the values
Returns: - The resulting value of the calculations of the custom series
EMA + Lower Timeframe EMA (correct display in Replay Mode)This indicator shows
one EMA for the current timeframe
one EMA for a lower timeframe
Unlike the built-in Tradingview EMA indicator, this indicator shows the correct values for the lower timeframe EMA during Replay Mode.
Liquidity Weighted Moving Averages [AlgoAlpha]Description:
The Liquidity Weighted Moving Averages by AlgoAlpha is a unique approach to identifying underlying trends in the market by looking at candle bars with the highest level of liquidity. This script offers a modified version of the classical MA crossover indicator that aims to be less noisy by using liquidity to determine the true fair value of price and where it should place more emphasis on when calculating the average.
Rationale:
It is common knowledge that liquidity makes it harder for market participants to move the price of assets, using this logic, we can determine the coincident liquidity of each bar by looking at the volume divided by the distance between the opening and closing price of that bar. If there is a higher volume but the opening and closing prices are near each other, this means that there was a high level of liquidity in that bar. We then use standard deviations to filter out high spikes of liquidity and record the closing prices on those bars. An average is then applied to these recorded prices only instead of taking the average of every single bar to avoid including outliers in the data processing.
Key features:
Customizable:
Fast Length - the period of the fast-moving average
Slow Length - the period of the slow-moving average
Outlier Threshold Length - the period of the outlier processing algorithm to detect spikes in liquidity
Significant Noise reduction from outliers:
Blockunity Excess Index (BEI)Identify excess zones resulting in market reversals by visualizing price deviations from an average.
The Excess Index (BEI) is designed to identify excess zones resulting in reversals, based on price deviations from a moving average. This moving average is fully customizable (type, period to be taken into account, etc.). This indicator also multiplies the moving average with a configurable coefficient, to give dynamic support and resistance levels. Finally, the BEI also provides reversal signals to alert you to any risk of trend change, on any asset.
The Idea
The goal is to provide the community with a visual and customizable tool for analyzing large price deviations from an average.
How to Use
Very simple to use, this indicator plots colored zones according to the price's deviation from the moving average. Moving average extensions also provide dynamic support and resistance. Finally, signals alert you to potential reversal points.
Elements
The Moving Average
The Moving Average, which defaults to a gray line over 200 periods, serves as a stable reference point. It is accompanied by an Index, whose color varies from yellow to orange to red, offering an overview of market conditions.
Extensions
These dynamic lines can be used to determine effective supports and resistances.
Signals
Green and red triangles serve as clear indicators for buy and sell signals.
Settings
Mainly, the type of moving average is configurable. The default is an SMA.
A Simple Moving Average (SMA) calculates the average of a selected range of prices by the number of periods in that range.
But you can also, for example, switch the mode to EMA.
The Exponential Moving Average (EMA) is a moving average that places a greater weight and significance on the most recent data points:
You also have WMA.
A Weighted Moving Average (WMA) gives more weight on recent data and less on past data:
And finally, the possibility of having a PCMA.
PCMA takes into account the highest and lowest points in the lookback period and divides this by two to obtain an average:
You can change other parameters such as lookback periods, as well as the coefficient used to define extension lines.
You can refer to the tooltips directly in the indicator parameters.
For those who prefer a minimalist display, you can activate a "Bar Color" in the settings (You must also uncheck "Borders" and "Wick" in your Chart Settings), and deactivate all other elements as you wish:
Finally, you can customize all the different colors, as well as the parameters of the table that indicates the Index value and the asset trend.
How it Works
The Index is calculated using the following method:
abs_distance = math.abs(close - base_ma)
bei = (abs_distance - ta.lowest(abs_distance, lookback_norm)) / (ta.highest(abs_distance, lookback_norm) - ta.lowest(abs_distance, lookback_norm)) * 100
Signals are triggered according to the following conditions:
A Long (buy) signal is triggered when the Index falls below 100, when the closing price is lower than 5 periods ago, and when the price is under the moving average.
A Short (sell) signal is triggered when the Index falls below 100, when the closing price is greater than 5 periods ago, and when the price is above the moving average.
Machine Learning: STDEV Oscillator [YinYangAlgorithms]This Indicator aims to fill a gap within traditional Standard Deviation Analysis. Rather than its usual applications, this Indicator focuses on applying Standard Deviation within an Oscillator and likewise applying a Machine Learning approach to it. By doing so, we may hope to achieve an Adaptive Oscillator which can help display when the price is deviating from its standard movement. This Indicator may help display both when the price is Overbought or Underbought, and likewise, where the price may face Support and Resistance. The reason for this is that rather than simply plotting a Machine Learning Standard Deviation (STDEV), we instead create a High and a Low variant of STDEV, and then use its Highest and Lowest values calculated within another Deviation to create Deviation Zones. These zones may help to display these Support and Resistance locations; and likewise may help to show if the price is Overbought or Oversold based on its placement within these zones. This Oscillator may also help display Momentum when the High and/or Low STDEV crosses the midline (0). Lastly, this Oscillator may also be useful for seeing the spacing between the High and Low of the STDEV; large spacing may represent volatility within the STDEV which may be helpful for seeing when there is Momentum in the form of volatility.
Tutorial:
Above is an example of how this Indicator looks on BTC/USDT 1 Day. As you may see, when the price has parabolic movement, so does the STDEV. This is due to this price movement deviating from the mean of the data. Therefore when these parabolic movements occur, we create the Deviation Zones accordingly, in hopes that it may help to project future Support and Resistance locations as well as helping to display when the price is Overbought and Oversold.
If we zoom in a little bit, you may notice that the Support Zone (Blue) is smaller than the Resistance Zone (Orange). This is simply because during the last Bull Market there was more parabolic price deviation than there was during the Bear Market. You may see this if you refer to their values; the Resistance Zone goes to ~18k whereas the Support Zone is ~10.5k. This is completely normal and the way it is supposed to work. Due to the nature of how STDEV works, this Oscillator doesn’t use a 1:1 ratio and instead can develop and expand as exponential price action occurs.
The Neutral (0) line may also act as a Support and Resistance location. In the example above we can see how when the STDEV is below it, it acts as Resistance; and when it’s above it, it acts as Support.
This Neutral line may also provide us with insight as towards the momentum within the market and when it has shifted. When the STDEV is below the Neutral line, the market may be considered Bearish. When the STDEV is above the Neutral line, the market may be considered Bullish.
The Red Line represents the STDEV’s High and the Green Line represents the STDEV’s Low. When the STDEV’s High and Low get tight and close together, this may represent there is currently Low Volatility in the market. Low Volatility may cause consolidation to occur, however it also leaves room for expansion.
However, when the STDEV’s High and Low are quite spaced apart, this may represent High levels of Volatility in the market. This may mean the market is more prone to parabolic movements and expansion.
We will conclude our Tutorial here. Hopefully this has given you some insight into how applying Machine Learning to a High and Low STDEV then creating Deviation Zones based on it may help project when the Momentum of the Market is Bullish or Bearish; likewise when the price is Overbought or Oversold; and lastly where the price may face Support and Resistance in the form of STDEV.
If you have any questions, comments, ideas or concerns please don't hesitate to contact us.
HAPPY TRADING!
ATR Based Stoploss - TakeProfit [CharmyDexter]
This script combines the power of Average True Range (ATR) and a Moving Average (MA) to dynamically set stop-loss and take-profit levels. It introduces a volatility surge condition and includes a risk management table for comprehensive trade insights.
1) **Originality:**
- This script is original in its approach to combining Average True Range (ATR) with a Moving Average (MA) to create a dynamic stop-loss and take-profit strategy. The addition of a volatility surge condition and the inclusion of a risk management table further contribute to its uniqueness.
2) **Functionality:**
- The script aims to provide traders with a dynamic stop-loss and take-profit strategy based on ATR, incorporating a volatility surge condition and a moving average. The risk management table displays crucial information, including the fund size, potential profit/loss, ATR values, and risk.
3) **Operation:**
- The script uses ATR to calculate volatility, identifying surges in volatility. It adjusts the stop-loss and take-profit levels based on the average of ATR during these surge periods. The moving average acts as a trend indicator, and the script dynamically adjusts stop-loss and take-profit levels accordingly.
4) **Usage:**
- Traders can use this script by applying it to their preferred financial instrument's chart. The script automatically plots the moving average and dynamically adjusts stop-loss and take-profit levels based on ATR and volatility surges. Users can observe the levels on the chart for potential trade management.
5) **Concepts:**
- The script employs concepts of ATR for volatility, moving average for trend identification, and a dynamic adjustment mechanism during volatility surges. Risk management is incorporated by calculating potential profit/loss percentages based on user-defined risk.
6) **Mashup Explanation:**
- The script combines ATR, moving average, and volatility conditions to create a comprehensive strategy. ATR determines the market's volatility, the moving average serves as a trend indicator, and volatility surges trigger dynamic adjustments to stop-loss and take-profit levels. The risk management table enhances the script's utility.
7) **Line Descriptions:**
- Blue Line (Moving Average): Indicates the trend direction.
- Lime Line (Long Take Profit): Represents the level for taking profit in a long position.
- Maroon Line (Short Take Profit): Represents the level for taking profit in a short position.
- Fuchsia Line (Short Stop Loss): Represents the level for setting a stop loss in a short position.
- Orange Line (Long Stop Loss): Represents the level for setting a stop loss in a long position.
8) **Line Usage:**
- Use the blue line for trend identification.
- When taking long positions, the close should be above the blue line.
- For long positions, the lime line is a potential take-profit level, and the orange line is a potential stop-loss level.
- For short positions, the maroon line is a potential take-profit level, and the fuchsia line is a potential stop-loss level.
- The risk management table provides insights into fund size, potential profit/loss, ATR values, and risk.
Note: The profit/loss calculations in this script may not be entirely accurate due to factors like market execution. Market execution may not always occur at the exact levels specified by the script due to slippage or delays in order processing. This can impact the realized profit or loss compared to the calculated levels.
It is crucial to note that this ATR Based Stop-loss - Take-Profit indicator is merely one tool among many that traders can employ to establish trading targets. Additional technical indicators are essential for taking trades and making informed decisions.
Commented-out sections for alerts and shape plotting are provided, allowing for visual and auditory notifications if desired.
It's crucial for traders to be aware of these factors and use the script as a tool within a broader trading strategy. Additionally, regular monitoring and adjustments based on real-time market conditions are recommended to enhance the accuracy of profit/loss assessments.
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.
Trend-based Price Action StrategyThis is a strategy script that combines trend-based price action analysis with the Relative Strength Index (RSI) and Exponential Moving Averages (EMA) as trend filters. Here's a summary of the key components and logic:
Price Action Candlestick Patterns:
Bullish patterns: Engulfing candle and Morning Star.
Bearish patterns: Engulfing candle and Evening Star.
RSI Integration:
RSI is used to identify overbought and oversold conditions.
EMA Trend Filter:
Three EMAs with different periods: Fast , Medium and Slow.
Long trend condition occur when the fast EMA is above the medium and the medium is above the slow EMA.
Short trend condition occur when the slow EMA is above the medium and the medium is above the fast EMA.
Long entry conditions: RSI is oversold, RSI is decreasing, bullish candlestick pattern, and EMA trend filter conditions are met.
Short entry conditions: RSI is overbought, RSI is decreasing, bearish candlestick pattern, and EMA trend filter conditions are met.
Exit conditions:
Take profit or stop loss is reached.
Plotting:
Signals are plotted on the chart when entry conditions are met.
EMAs are plotted when the EMA trend filter is enabled.
This script aims to capture potential trend reversal points based on a combination of candlestick patterns, RSI, and EMA trend analysis.
Traders can use this script as a starting point for further customization or as a reference for developing their own trading strategies. It's important to note that past performance is not indicative of future results, and thorough testing and validation are recommended before deploying any trading strategy.
[KVA] Extremes ProfilerExtremes Profiler is a specialized indicator crafted for traders focusing on the relationship between price extremes and moving averages. This tool offers a comprehensive perspective on price dynamics by quantifying and visualizing significant distances of current prices from various moving averages. It effectively highlights the top extremes in market movements, providing key insights into price extremities relative to these averages. The indicator's ability to analyze and display these distances makes it a valuable tool for understanding market trends and potential turning points. Traders can leverage the Extremes Profiler to gain a deeper understanding of how prices behave in relation to commonly watched moving averages, thus aiding in making informed trading decisions
Key Features :
Extensive MA Analysis : Tracks the price distance from multiple moving averages including EMA, SMA, WMA, RMA, and HMA.
Top 50 (100) Distance Metrics : Highlights the 50 (100)greatest (highest or lowest) distances from each selected MA, pinpointing significant market deviations.
Customizable Periods : Offers flexibility with adjustable periods to align with diverse trading strategies.
Comprehensive View : Switch between timeframes for a well-rounded understanding of short-term fluctuations and long-term market trends.
Cross-Asset Comparison : Utilize the indicator to compare different assets, gaining insights into the relative dynamics and volatility of various markets. By analyzing multiple assets, traders can discern broader market trends and better understand asset-specific behaviors.
Customizable Display : Users can adjust the periods and number of results to suit their analytical needs.
K`s Extreme DurationExtreme duration uses a special combination of the RSI and its relative position to deliver a reversal signal.
The following are the conditions to generate signals:
* Bullish signal: The current 8-period RSI is below 50 and above 35 while the previous 5 RSI's are below 35.
* Bearish signal: The current 8-period RSI is above 50 and below 65 while the previous 5 RSI's are above 65.
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.
