RBS | Profitholders Thanks for source code author , I have modified this for especially Indian market.
RBS Indicator is Rang Breakout System, This is same "Opening Range Breakout" which is a common trading strategy. The indicator can analyze the market trend in the current session and give "Buy / Sell", "Take Profit" and "Stop Loss" signals. For more information about the analyzing process of the indicator, you can read "How Does It Work ?" section of the description.
Features of RBS indicator :
Buy & Sell Signals
Up To 3 Take Profit Signals
Stop-Loss Signals
Alerts for Buy / Sell, Take-Profit and Stop-Loss
Session Dashboard
Back testing Dashboard
HOW DOES IT WORK ?
This indicator works best in 15-minute timeframe. Need to change Chart time frame depends on symbols , The idea is that the trend of the current session can be forecasted by analyzing the market for a while after the session starts. However, each market has it's own dynamics and the algorithm will need fine-tuning to get the best performance possible. So, we've implemented a "Back testing Dashboard" that shows the past performance of the algorithm in the current ticker with your current settings. Always keep in mind that past performance does not guarantee future results. So this is for educational purpose.
Here are the steps of the algorithm explained briefly :
1. The algorithm follows and analyzes the first 15 minutes (can be adjusted) of the session.
2. Then, algorithm checks for breakouts of the opening range's high or low.
3. If a breakout happens in a bullish or a bearish direction, the algorithm will now check for retests of the breakout. Depending on the sensitivity setting, there must be 0 / 1 / 2 / 3 failed retests for the breakout to be considered as reliable.
4. If the breakout is reliable, the algorithm will give an entry signal.
5. After the position entry, algorithm will now wait for Take-Profit or Stop-Loss zones and signal if any of them occur.
If you wonder how does the indicator find Take-Profit & Stop-Loss zones, you can check the "Settings" section of the description.
UNIQUENESS
While there are indicators that show the opening range of the session, they come short with features like indicating breakouts, entries, and Take-Profit & Stop-Loss zones. We are also aware of that different stock markets have different dynamics, and tuning the algorithm for different markets is really important for better results, so we decided to make the algorithm fully customizable. Besides all that, our indicator contains a detailed back testing dashboard, so you can see past performance of the algorithm in the current ticker. While past performance does not yield any guarantee for future results, we believe that a back testing dashboard is necessary for tuning the algorithm. Another strength of this indicator is that there are multiple options for detection of Take-Profit and Stop-Loss zones, which the trader can select one of their liking.
⚙️SETTINGS
Keep in mind that best chart timeframe for this indicator to work is the 15-minute timeframe on Indian Market.
TP = Take-Profit
SL = Stop-Loss
EMA = Exponential Moving Average
OR = Opening Range
ATR = Average True Range
1. Algorithm
RBS Timeframe -> This setting determines the timeframe that the algorithm will analyze the market after a new session begins before giving any signals. It's important to experiment with this setting and find the best option that suits the current ticker for the best performance. More volatile stocks will often require this setting to be larger, while more stabilized stocks may have this setting shorter.
Sensitivity -> This setting determines how much failed retests are needed to take a position entry. Higher sensitivity means that less retests are needed to consider the breakout as reliable. If you think that the current ticker makes strong movements in a bullish & bearish direction after a breakout, you should set this setting higher. If you think the opposite, meaning that the ticker does not decide the trend right after a breakout, this setting show be lower.
(High = 0 Retests, Medium = 1 Retest, Low = 2 Retests, Lowest = 3 Retests)
Breakout Condition -> The condition for the algorithm to detect breakouts.
Close = Bar needs to close higher than the OR High Line in a bullish breakout, or lower than the OR Low Line in a bearish breakout. EMA = The EMA of the bar must be higher / lower than OR Lines instead of the close price.
TP Method -> The method for the algorithm to use when determining TP zones.
Dynamic = This TP method essentially tries to find the bar that price starts declining the current trend and going to the other direction, and puts a TP zone there. To achieve this, it uses an EMA line, and when the close price of a bar crosses the EMA line, It's a TP spot.
ATR = In this TP method, instead of a dynamic approach the TP zones are pre-determined using the ATR of the entry bar. This option is generally for traders who just want to know their TP spots beforehand while trading. Selecting this option will also show TP zones at the ORB Dashboard.
"Dynamic" option generally performs better, while the "ATR" method is safer to use.
EMA Length -> This setting determines the length of the EMA line used in "Dynamic TP method" and "EMA Breakout Condition". This is completely up to the trader's choice, though the default option should generally perform well. You might want to experiment with this setting and find the optimal length for the current ticker.
Stop-Loss -> Algorithm will place the Stop-Loss zone using setting.
Safer = The SL zone will be placed closer to the OR High for a bullish entry, and closer to the OR Low for a bearish entry.
Balanced = The SL zone will be placed in the center of OR High & OR Low
Risky = The SL zone will be placed closer to the OR Low for a bullish entry, and closer to the OR High for a bearish entry.
Adaptive SL -> This option only takes effect if the first TP zone is hit.
Enabled = After the 1st TP zone is hit, the SL zone will be moved to the entry price, essentially making the position risk-free.
Disabled = The SL zone will never change.
2. RBS Dashboard
RBS Dashboard shows the information about the current session.
3. RBS Back testing
RBS Back testing Dashboard allows you to see past performance of the algorithm in the current ticker with current settings.
Total amount of days that can be back tested depends on your TV subscription.
Back testing Exit Ratios -> You can select how much of percent your entry will be closed at any TP zone while back testing. For example, %90, %5, %5 means that %90 of the position will be closed at the first TP zone, %5 of it will be closed at the 2nd TP zone, and %5 of it will be closed at the last TP zone.
Search in scripts for "algo"
Adaptive Fisherized Z-scoreHello Fellas,
It's time for a new adaptive fisherized indicator of me, where I apply adaptive length and more on a classic indicator.
Today, I chose the Z-score, also called standard score, as indicator of interest.
Special Features
Advanced Smoothing: JMA, T3, Hann Window and Super Smoother
Adaptive Length Algorithms: In-Phase Quadrature, Homodyne Discriminator, Median and Hilbert Transform
Inverse Fisher Transform (IFT)
Signals: Enter Long, Enter Short, Exit Long and Exit Short
Bar Coloring: Presents the trade state as bar colors
Band Levels: Changes the band levels
Decision Making
When you create such a mod you need to think about which concepts are the best to conclude. I decided to take Inverse Fisher Transform instead of normalization to make a version which fits to a fixed scale to avoid the usual distortion created by normalization.
Moreover, I chose JMA, T3, Hann Window and Super Smoother, because JMA and T3 are the bleeding-edge MA's at the moment with the best balance of lag and responsiveness. Additionally, I chose Hann Window and Super Smoother because of their extraordinary smoothing capabilities and because Ehlers favours them.
Furthermore, I decided to choose the half length of the dominant cycle instead of the full dominant cycle to make the indicator more responsive which is very important for a signal emitter like Z-score. Signal emitters always need to be faster or have the same speed as the filters they are combined with.
Usage
The Z-score is a low timeframe scalper which works best during choppy/ranging phases. The direction you should trade is determined by the last trend change. E.g. when the last trend change was from bearish market to bullish market and you are now in a choppy/ranging phase confirmed by e.g. Chop Zone or KAMA slope you want to do long trades.
Interpretation
The Z-score indicator is a momentum indicator which shows the number of standard deviations by which the value of a raw score (price/source) is above or below the mean value of what is being observed or measured. Easily explained, it is almost the same as Bollinger Bands with another visual representation form.
Signals
B -> Buy -> Z-score crosses above lower band
S -> Short -> Z-score crosses below upper band
BE -> Buy Exit -> Z-score crosses above 0
SE -> Sell Exit -> Z-score crosses below 0
If you were reading till here, thank you already. Now, follows a bunch of knowledge for people who don't know the concepts I talk about.
T3
The T3 moving average, short for "Tim Tillson's Triple Exponential Moving Average," is a technical indicator used in financial markets and technical analysis to smooth out price data over a specific period. It was developed by Tim Tillson, a software project manager at Hewlett-Packard, with expertise in Mathematics and Computer Science.
The T3 moving average is an enhancement of the traditional Exponential Moving Average (EMA) and aims to overcome some of its limitations. The primary goal of the T3 moving average is to provide a smoother representation of price trends while minimizing lag compared to other moving averages like Simple Moving Average (SMA), Weighted Moving Average (WMA), or EMA.
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.
JMA
The Jurik Moving Average (JMA) is a technical indicator used in trading to predict price direction. Developed by Mark Jurik, it’s a type of weighted moving average that gives more weight to recent market data rather than past historical data.
JMA is known for its superior noise elimination. It’s a causal, nonlinear, and adaptive filter, meaning it responds to changes in price action without introducing unnecessary lag. This makes JMA a world-class moving average that tracks and smooths price charts or any market-related time series with surprising agility.
In comparison to other moving averages, such as the Exponential Moving Average (EMA), JMA is known to track fast price movement more accurately. This allows traders to apply their strategies to a more accurate picture of price action.
Inverse Fisher Transform
The Inverse Fisher Transform is a transform used in DSP to alter the Probability Distribution Function (PDF) of a signal or in our case of indicators.
The result of using the Inverse Fisher Transform is that the output has a very high probability of being either +1 or –1. This bipolar probability distribution makes the Inverse Fisher Transform ideal for generating an indicator that provides clear buy and sell signals.
Hann Window
The Hann function (aka Hann Window) is named after the Austrian meteorologist Julius von Hann. It is a window function used to perform Hann smoothing.
Super Smoother
The Super Smoother uses a special mathematical process for the smoothing of data points.
The Super Smoother is a technical analysis indicator designed to be smoother and with less lag than a traditional moving average.
Adaptive Length
Length based on the dominant cycle length measured by a "dominant cycle measurement" algorithm.
Happy Trading!
Best regards,
simwai
---
Credits to
@cheatcountry
@everget
@loxx
@DasanC
@blackcat1402
Support & Resistance AI (K means/median) [ThinkLogicAI]█ OVERVIEW
K-means is a clustering algorithm commonly used in machine learning to group data points into distinct clusters based on their similarities. While K-means is not typically used directly for identifying support and resistance levels in financial markets, it can serve as a tool in a broader analysis approach.
Support and resistance levels are price levels in financial markets where the price tends to react or reverse. Support is a level where the price tends to stop falling and might start to rise, while resistance is a level where the price tends to stop rising and might start to fall. Traders and analysts often look for these levels as they can provide insights into potential price movements and trading opportunities.
█ BACKGROUND
The K-means algorithm has been around since the late 1950s, making it more than six decades old. The algorithm was introduced by Stuart Lloyd in his 1957 research paper "Least squares quantization in PCM" for telecommunications applications. However, it wasn't widely known or recognized until James MacQueen's 1967 paper "Some Methods for Classification and Analysis of Multivariate Observations," where he formalized the algorithm and referred to it as the "K-means" clustering method.
So, while K-means has been around for a considerable amount of time, it continues to be a widely used and influential algorithm in the fields of machine learning, data analysis, and pattern recognition due to its simplicity and effectiveness in clustering tasks.
█ COMPARE AND CONTRAST SUPPORT AND RESISTANCE METHODS
1) K-means Approach:
Cluster Formation: After applying the K-means algorithm to historical price change data and visualizing the resulting clusters, traders can identify distinct regions on the price chart where clusters are formed. Each cluster represents a group of similar price change patterns.
Cluster Analysis: Analyze the clusters to identify areas where clusters tend to form. These areas might correspond to regions of price behavior that repeat over time and could be indicative of support and resistance levels.
Potential Support and Resistance Levels: Based on the identified areas of cluster formation, traders can consider these regions as potential support and resistance levels. A cluster forming at a specific price level could suggest that this level has been historically significant, causing similar price behavior in the past.
Cluster Standard Deviation: In addition to looking at the means (centroids) of the clusters, traders can also calculate the standard deviation of price changes within each cluster. Standard deviation is a measure of the dispersion or volatility of data points around the mean. A higher standard deviation indicates greater price volatility within a cluster.
Low Standard Deviation: If a cluster has a low standard deviation, it suggests that prices within that cluster are relatively stable and less likely to exhibit sudden and large price movements. Traders might consider placing tighter stop-loss orders for trades within these clusters.
High Standard Deviation: Conversely, if a cluster has a high standard deviation, it indicates greater price volatility within that cluster. Traders might opt for wider stop-loss orders to allow for potential price fluctuations without getting stopped out prematurely.
Cluster Density: Each data point is assigned to a cluster so a cluster that is more dense will act more like gravity and
2) Traditional Approach:
Trendlines: Draw trendlines connecting significant highs or lows on a price chart to identify potential support and resistance levels.
Chart Patterns: Identify chart patterns like double tops, double bottoms, head and shoulders, and triangles that often indicate potential reversal points.
Moving Averages: Use moving averages to identify levels where the price might find support or resistance based on the average price over a specific period.
Psychological Levels: Identify round numbers or levels that traders often pay attention to, which can act as support and resistance.
Previous Highs and Lows: Identify significant previous price highs and lows that might act as support or resistance.
The key difference lies in the approach and the foundation of these methods. Traditional methods are based on well-established principles of technical analysis and market psychology, while the K-means approach involves clustering price behavior without necessarily incorporating market sentiment or specific price patterns.
It's important to note that while the K-means approach might provide an interesting way to analyze price data, it should be used cautiously and in conjunction with other traditional methods. Financial markets are influenced by a wide range of factors beyond just price behavior, and the effectiveness of any method for identifying support and resistance levels should be thoroughly tested and validated. Additionally, developments in trading strategies and analysis techniques could have occurred since my last update.
█ K MEANS ALGORITHM
The algorithm for K means is as follows:
Initialize cluster centers
assign data to clusters based on minimum distance
calculate cluster center by taking the average or median of the clusters
repeat steps 1-3 until cluster centers stop moving
█ LIMITATIONS OF K MEANS
There are 3 main limitations of this algorithm:
Sensitive to Initializations: K-means is sensitive to the initial placement of centroids. Different initializations can lead to different cluster assignments and final results.
Assumption of Equal Sizes and Variances: K-means assumes that clusters have roughly equal sizes and spherical shapes. This may not hold true for all types of data. It can struggle with identifying clusters with uneven densities, sizes, or shapes.
Impact of Outliers: K-means is sensitive to outliers, as a single outlier can significantly affect the position of cluster centroids. Outliers can lead to the creation of spurious clusters or distortion of the true cluster structure.
█ LIMITATIONS IN APPLICATION OF K MEANS IN TRADING
Trading data often exhibits characteristics that can pose challenges when applying indicators and analysis techniques. Here's how the limitations of outliers, varying scales, and unequal variance can impact the use of indicators in trading:
Outliers are data points that significantly deviate from the rest of the dataset. In trading, outliers can represent extreme price movements caused by rare events, news, or market anomalies. Outliers can have a significant impact on trading indicators and analyses:
Indicator Distortion: Outliers can skew the calculations of indicators, leading to misleading signals. For instance, a single extreme price spike could cause indicators like moving averages or RSI (Relative Strength Index) to give false signals.
Risk Management: Outliers can lead to overly aggressive trading decisions if not properly accounted for. Ignoring outliers might result in unexpected losses or missed opportunities to adjust trading strategies.
Different Scales: Trading data often includes multiple indicators with varying units and scales. For example, prices are typically in dollars, volume in units traded, and oscillators have their own scale. Mixing indicators with different scales can complicate analysis:
Normalization: Indicators on different scales need to be normalized or standardized to ensure they contribute equally to the analysis. Failure to do so can lead to one indicator dominating the analysis due to its larger magnitude.
Comparability: Without normalization, it's challenging to directly compare the significance of indicators. Some indicators might have a larger numerical range and could overshadow others.
Unequal Variance: Unequal variance in trading data refers to the fact that some indicators might exhibit higher volatility than others. This can impact the interpretation of signals and the performance of trading strategies:
Volatility Adjustment: When combining indicators with varying volatility, it's essential to adjust for their relative volatilities. Failure to do so might lead to overemphasizing or underestimating the importance of certain indicators in the trading strategy.
Risk Assessment: Unequal variance can impact risk assessment. Indicators with higher volatility might lead to riskier trading decisions if not properly taken into account.
█ APPLICATION OF THIS INDICATOR
This indicator can be used in 2 ways:
1) Make a directional trade:
If a trader thinks price will go higher or lower and price is within a cluster zone, The trader can take a position and place a stop on the 1 sd band around the cluster. As one can see below, the trader can go long the green arrow and place a stop on the one standard deviation mark for that cluster below it at the red arrow. using this we can calculate a risk to reward ratio.
Calculating risk to reward: targeting a risk reward ratio of 2:1, the trader could clearly make that given that the next resistance area above that in the orange cluster exceeds this risk reward ratio.
2) Take a reversal Trade:
We can use cluster centers (support and resistance levels) to go in the opposite direction that price is currently moving in hopes of price forming a pivot and reversing off this level.
Similar to the directional trade, we can use the standard deviation of the cluster to place a stop just in case we are wrong.
In this example below we can see that shorting on the red arrow and placing a stop at the one standard deviation above this cluster would give us a profitable trade with minimal risk.
Using the cluster density table in the upper right informs the trader just how dense the cluster is. Higher density clusters will give a higher likelihood of a pivot forming at these levels and price being rejected and switching direction with a larger move.
█ FEATURES & SETTINGS
General Settings:
Number of clusters: The user can select from 3 to five clusters. A good rule of thumb is that if you are trading intraday, less is more (Think 3 rather than 5). For daily 4 to 5 clusters is good.
Cluster Method: To get around the outlier limitation of k means clustering, The median was added. This gives the user the ability to choose either k means or k median clustering. K means is the preferred method if the user things there are no large outliers, and if there appears to be large outliers or it is assumed there are then K medians is preferred.
Bars back To train on: This will be the amount of bars to include in the clustering. This number is important so that the user includes bars that are recent but not so far back that they are out of the scope of where price can be. For example the last 2 years we have been in a range on the sp500 so 505 days in this setting would be more relevant than say looking back 5 years ago because price would have to move far to get there.
Show SD Bands: Select this to show the 1 standard deviation bands around the support and resistance level or unselect this to just show the support and resistance level by itself.
Features:
Besides the support and resistance levels and standard deviation bands, this indicator gives a table in the upper right hand corner to show the density of each cluster (support and resistance level) and is color coded to the cluster line on the chart. Higher density clusters mean price has been there previously more than lower density clusters and could mean a higher likelihood of a reversal when price reaches these areas.
█ WORKS CITED
Victor Sim, "Using K-means Clustering to Create Support and Resistance", 2020, towardsdatascience.com
Chris Piech, "K means", stanford.edu
█ ACKNOLWEDGMENTS
@jdehorty- Thanks for the publish template. It made organizing my thoughts and work alot easier.
Auto Harmonic Pattern - Screener [Trendoscope]At Trendoscope, we take pride in offering a wide range of indicators on Harmonic Patterns, including both free and premium options. While we have successfully developed various advanced tools, we recognize that creating a Harmonic Pattern screener is an audacious endeavor that few have ventured into.
Creating a harmonic pattern screener presents a formidable challenge. The intricate nature of the algorithm, coupled with the limitations of cloud-based processing and platform memory, makes it exceedingly difficult to implement the screener functionality without encountering runtime errors.
Today marks a historic achievement as we overcome numerous challenges to unveil our groundbreaking harmonic pattern-based screener. This significant leap signifies our commitment to innovation in the field.
Without further delay, let's dive right into the new Auto Harmonic Pattern - Screener algorithm
🎲 Features Overview
🎯 Primary Functionality
We prefer not to categorize this as a traditional indicator, as it goes beyond that scope. Instead, it's a unique amalgamation of both a screener and an indicator, designed to achieve primarily two essential functions.
Firstly, it efficiently scans multiple tickers, up to 20, for harmonic pattern formations and presents them on a user-friendly dashboard
Secondly, it provides harmonic pattern drawings on the chart, but only if the current chart ticker is part of the screener and exhibits a harmonic pattern formation.
🎯 Secondary Features
In addition to its primary functionalities, our revolutionary algorithm offers an array of secondary features that cater to traders' diverse needs
Users have the privilege of accessing enhanced settings, providing limitless customization options for the zigzag and pattern detection algorithm
The platform empowers traders to effortlessly customize stop entry target ratios, facilitating automatic calculations and display of suggestions
The freedom to personalize the visualization and display of patterns and dashboard ensures a seamless and intuitive user experience
And finally, the algorithm leaves no stone unturned, keeping traders well-informed through timely alerts on every bar, highlighting tickers exhibiting Harmonic Pattern formations.
🎯 Limitations
Our innovative screener harnesses the power of the recursive zigzag algorithm to deliver efficient and accurate harmonic pattern detections. While the deep search algorithm, present in our other Harmonic Pattern algorithms, offers unparalleled precision, its resource-intensive nature makes it unsuitable for simultaneous scanning of 20 tickers. By focusing on the recursive zigzag approach, we strike the perfect balance between performance and functionality, ensuring seamless scanning across multiple tickers without compromising on accuracy. This strategic decision allows us to deliver a powerful and reliable screener that meets the diverse needs of traders and empowers them with real-time harmonic pattern insights.
🎲 Chart Components
Upon loading the indicator and configuring your tickers, our user-friendly interface offers two key components seamlessly integrated into the chart:
A color-coded screener dashboard : The dashboard presents a clear visualization of tickers with bullish and bearish harmonic patterns. This intuitive display allows you to quickly identify potential trading opportunities based on pattern formations.
Dynamic pattern display : As you interact with the chart, our algorithm dynamically highlights possible harmonic patterns based on the latest zigzag pivots. Please note that patterns may not always be visible on the chart, especially in cases where higher-level zigzags take time to form pivots. However, rest assured that our sophisticated algorithm ensures real-time updates, providing you with accurate and timely harmonic pattern insights.
🎯 Screener Dashboard
In our screener dashboard, you will find a wealth of information at your fingertips:
Bullish patterns : Tickers exhibiting bullish harmonic patterns are prominently highlighted with a refreshing green background
Bearish patterns : Similarly, tickers featuring bearish harmonic patterns stand out with a striking red background
Dual patterns : Tickers displaying both bullish and bearish patterns are cleverly highlighted in a captivating purple background, providing a comprehensive view of the harmonic pattern landscape.
Tickers without current patterns : Tickers lacking any current patterns are elegantly displayed with a silver background. These tickers do not trigger tooltips, streamlining your focus on actionable pattern-related data.
🎲 Settings in Detail
🎯 Tickers
Our platform currently allows users to select up to 20 tickers for the harmonic pattern screener. We understand the importance of flexibility and scalability, and while we are excited to accommodate more tickers in the future, our present focus is to ensure optimal performance within the CPU and memory limitations. Rest assured, we are continuously working on enhancing our capabilities to provide you with an even more comprehensive experience. Stay tuned for updates as we strive to meet your evolving needs.
🎯 Zigzag and Harmonic Pattern
In this section, we present a range of essential settings that play a pivotal role in the calculation of the zigzag and the scanning of patterns. These parameters share similarities with other premium indicators associated with Harmonic patterns. These settings serve as building blocks for our advanced algorithms' suite.
This include
Zigzag length and depth settings for calculation of the multi level recursive zigzag
Pattern scanning settings to filter patterns based on preferences of category, pattern name, accuracy of calculation, and other considerations.
User preference of pattern trading ratios that are used for calculating entry, stop and target prices.
🎯 Screener Dashboard and Alerts
In this section, we introduce the parameters that define the format and content of alerts and the screener dashboard, offering you maximum flexibility in customizing their display. These settings encompass the following key aspects:
Screener dashboard position, layout and size that influence the display of screener dashboard.
List of parameters that can be shown on dashboard tooltips as well as on alerts.
Format of alert and tooltip data
🎯 Pattern Display
These are the settings related to pattern display on the chart and to limit calculation to last n bars
Will soon make video tutorials on this soon.
Recursive Micro Zigzag🎲 Overview
Zigzag is basic building block for any pattern recognition algorithm. This indicator is a research-oriented tool that combines the concepts of Micro Zigzag and Recursive Zigzag to facilitate a comprehensive analysis of price patterns. This indicator focuses on deriving zigzag on multiple levels in more efficient and enhanced manner in order to support enhanced pattern recognition.
The Recursive Micro Zigzag Indicator utilises the Micro Zigzag as the foundation and applies the Recursive Zigzag technique to derive higher-level zigzags. By integrating these techniques, this indicator enables researchers to analyse price patterns at multiple levels and gain a deeper understanding of market behaviour.
🎲 Concept:
Micro Zigzag Base : The indicator utilises the Micro Zigzag concept to capture detailed price movements within each candle. It allows for the visualisation of the sequential price action within the candle, aiding in pattern recognition at a micro level.
Basic implementation of micro zigzag can be found in this link - Micro-Zigzag
Recursive Zigzag Expansion : Building upon the Micro Zigzag base, the indicator applies the Recursive Zigzag concept to derive higher-level zigzags. Through recursive analysis of the Micro Zigzag's pivots, the indicator uncovers intricate patterns and trends that may not be evident in single-level zigzags.
Earlier implementations of recursive zigzag can be found here:
Recursive Zigzag
Recursive Zigzag - Trendoscope
And the libraries
rZigzag
ZigzagMethods
The major differences in this implementation are
Micro Zigzag Base - Earlier implementation made use of standard zigzag as base whereas this implementation uses Micro Zigzag as base
Not cap on Pivot depth - Earlier implementation was limited by the depth of level 0 zigzag. In this implementation, we are trying to build the recursive algorithm progressively so that there is no cap on the depth of level 0 zigzag. But, if we go for higher levels, there is chance of program timing out due to pine limitations.
These algorithms are useful in automatically spotting patterns on the chart including Harmonic Patterns, Chart Patterns, Elliot Waves and many more.
Adaptive Predictive Stops and Targets The indicator is an experiment to Predict Stops and 1st target for any liquid security and for any timeframe,
Intro
The indicator is made using Predictive Differential Filter of 2nd Degree
and an Adaptive Filter to generate Signals and define Targets and Stops
An adaptive filter is a system with a linear filter that has a transfer function controlled by variable parameters and a means to adjust those parameters according to an optimisation algorithm. Because of the complexity of the optimisation algorithms, almost all adaptive filters are digital filters. Thus Helping us classify our intent either long side or short side
The indicator use Adaptive Least mean square algorithm, for convergence of the filtered signals into a category of intents, (either buy or sell)
The Other Category of Filter used in the indicator is Predictive Differential Filter, which helps us estimate the acceleration of the prices and levels of significance for targeting and Stops
The Predictive Differential Filters are capable of predicting the next state of the input based on the interaction with a pre-specified number of filters, The prediction helps in minimising the quantisation error and in removing the granular noise which are caused by PCM systems.
How to Use
The logic to use is simple Buy at the High of the Signal Candle and Sell at the Low of the Signal Candle
Book your 50% position on the first target shown (respectively in green and red lines) and Trail the rest of the positions till you reach stop or breakeven!
vice versa for Sell,
Just Sell on the Low of the Signal Candle
What securities and timeframes will it work upon
The system is designed to work over any liquid security over any timeframe,
The Indicator has provisions for Alert
How to request Access
Just Private message me, do not use comment box for requesting access, use it only for constructive comments
cbndLibrary "cbnd"
Description:
A standalone Cumulative Bivariate Normal Distribution (CBND) functions that do not require any external libraries.
This includes 3 different CBND calculations: Drezner(1978), Drezner and Wesolowsky (1990), and Genz (2004)
Comments:
The standardized cumulative normal distribution function returns the probability that one random
variable is less than a and that a second random variable is less than b when the correlation
between the two variables is p. Since no closed-form solution exists for the bivariate cumulative
normal distribution, we present three approximations. The first one is the well-known
Drezner (1978) algorithm. The second one is the more efficient Drezner and Wesolowsky (1990)
algorithm. The third is the Genz (2004) algorithm, which is the most accurate one and therefore
our recommended algorithm. West (2005b) and Agca and Chance (2003) discuss the speed and
accuracy of bivariate normal distribution approximations for use in option pricing in
ore detail.
Reference:
The Complete Guide to Option Pricing Formulas, 2nd ed. (Espen Gaarder Haug)
CBND1(A, b, rho)
Returns the Cumulative Bivariate Normal Distribution (CBND) using Drezner 1978 Algorithm
Parameters:
A : float,
b : float,
rho : float,
Returns: float.
CBND2(A, b, rho)
Returns the Cumulative Bivariate Normal Distribution (CBND) using Drezner and Wesolowsky (1990) function
Parameters:
A : float,
b : float,
rho : float,
Returns: float.
CBND3(x, y, rho)
Returns the Cumulative Bivariate Normal Distribution (CBND) using Genz (2004) algorithm (this is the preferred method)
Parameters:
x : float,
y : float,
rho : float,
Returns: float.
STD-Stepped Fast Cosine Transform Moving Average [Loxx]STD-Stepped Fast Cosine Transform Moving Average is an experimental moving average that uses Fast Cosine Transform to calculate a moving average. This indicator has standard deviation stepping in order to smooth the trend by weeding out low volatility movements.
What is the Discrete Cosine Transform?
A discrete cosine transform (DCT) expresses a finite sequence of data points in terms of a sum of cosine functions oscillating at different frequencies. The DCT, first proposed by Nasir Ahmed in 1972, is a widely used transformation technique in signal processing and data compression. It is used in most digital media, including digital images (such as JPEG and HEIF, where small high-frequency components can be discarded), digital video (such as MPEG and H.26x), digital audio (such as Dolby Digital, MP3 and AAC), digital television (such as SDTV, HDTV and VOD), digital radio (such as AAC+ and DAB+), and speech coding (such as AAC-LD, Siren and Opus). DCTs are also important to numerous other applications in science and engineering, such as digital signal processing, telecommunication devices, reducing network bandwidth usage, and spectral methods for the numerical solution of partial differential equations.
The use of cosine rather than sine functions is critical for compression, since it turns out (as described below) that fewer cosine functions are needed to approximate a typical signal, whereas for differential equations the cosines express a particular choice of boundary conditions. In particular, a DCT is a Fourier-related transform similar to the discrete Fourier transform (DFT), but using only real numbers. The DCTs are generally related to Fourier Series coefficients of a periodically and symmetrically extended sequence whereas DFTs are related to Fourier Series coefficients of only periodically extended sequences. DCTs are equivalent to DFTs of roughly twice the length, operating on real data with even symmetry (since the Fourier transform of a real and even function is real and even), whereas in some variants the input and/or output data are shifted by half a sample. There are eight standard DCT variants, of which four are common.
The most common variant of discrete cosine transform is the type-II DCT, which is often called simply "the DCT". This was the original DCT as first proposed by Ahmed. Its inverse, the type-III DCT, is correspondingly often called simply "the inverse DCT" or "the IDCT". Two related transforms are the discrete sine transform (DST), which is equivalent to a DFT of real and odd functions, and the modified discrete cosine transform (MDCT), which is based on a DCT of overlapping data. Multidimensional DCTs (MD DCTs) are developed to extend the concept of DCT to MD signals. There are several algorithms to compute MD DCT. A variety of fast algorithms have been developed to reduce the computational complexity of implementing DCT. One of these is the integer DCT (IntDCT), an integer approximation of the standard DCT, : ix, xiii, 1, 141–304 used in several ISO/IEC and ITU-T international standards.
Notable settings
windowper = period for calculation, restricted to powers of 2: "16", "32", "64", "128", "256", "512", "1024", "2048", this reason for this is FFT is an algorithm that computes DFT (Discrete Fourier Transform) in a fast way, generally in 𝑂(𝑁⋅log2(𝑁)) instead of 𝑂(𝑁2). To achieve this the input matrix has to be a power of 2 but many FFT algorithm can handle any size of input since the matrix can be zero-padded. For our purposes here, we stick to powers of 2 to keep this fast and neat. read more about this here: Cooley–Tukey FFT algorithm
smthper = smoothing count, this smoothing happens after the first FCT regular pass. this zeros out frequencies from the previously calculated values above SS count. the lower this number, the smoother the output, it works opposite from other smoothing periods
Included
Alerts
Signals
Loxx's Expanded Source Types
Additional reading
A Fast Computational Algorithm for the Discrete Cosine Transform by Chen et al.
Practical Fast 1-D DCT Algorithms With 11 Multiplications by Loeffler et al.
Cooley–Tukey FFT algorithm
Weighted Burg AR Spectral Estimate Extrapolation of Price [Loxx]Weighted Burg AR Spectral Estimate Extrapolation of Price is an indicator that uses an autoregressive spectral estimation called the Weighted Burg Algorithm. This method is commonly used in speech modeling and speech prediction engines. This method also includes Levinson–Durbin algorithm. As was already discussed previously in the following indicator:
Levinson-Durbin Autocorrelation Extrapolation of Price
What is Levinson recursion or Levinson–Durbin recursion?
In many applications, the duration of an uninterrupted measurement of a time series is limited. However, it is often possible to obtain several separate segments of data. The estimation of an autoregressive model from this type of data is discussed. A straightforward approach is to take the average of models estimated from each segment separately. In this way, the variance of the estimated parameters is reduced. However, averaging does not reduce the bias in the estimate. With the Burg algorithm for segments, both the variance and the bias in the estimated parameters are reduced by fitting a single model to all segments simultaneously. As a result, the model estimated with the Burg algorithm for segments is more accurate than models obtained with averaging. The new weighted Burg algorithm for segments allows combining segments of different amplitudes.
The Burg algorithm estimates the AR parameters by determining reflection coefficients that minimize the sum of for-ward and backward residuals. The extension of the algorithm to segments is that the reflection coefficients are estimated by minimizing the sum of forward and backward residuals of all segments taken together. This means a single model is fitted to all segments in one time. This concept is also used for prediction error methods in system identification, where the input to the system is known, like in ARX modeling
Data inputs
Source Settings: -Loxx's Expanded Source Types. You typically use "open" since open has already closed on the current active bar
LastBar - bar where to start the prediction
PastBars - how many bars back to model
LPOrder - order of linear prediction model; 0 to 1
FutBars - how many bars you want to forward predict
BurgWin - weighing function index, rectangular, hamming, or parabolic
Things to know
Normally, a simple moving average is calculated on source data. I've expanded this to 38 different averaging methods using Loxx's Moving Avreages.
This indicator repaints
Included
Bar color muting
Further reading
Performance of the weighted burg methods of ar spectral estimation for pitch-synchronous analysis of voiced speech
The Burg algorithm for segments
Techniques for the Enhancement of Linear Predictive Speech Coding in Adverse Conditions
Related Indicators
Auto Fibonacci Retracement - Real-Time (Expo)█ Fibonacci retracement is a popular technical analysis method to draw support and resistance levels. The Fibonacci levels are calculated between 2 swing points (high/low) and divided by the key Fibonacci coefficients equal to 23.6%, 38.2%, 50%, 61.8%, and 100%. The percentage represents how much of a prior move the price has retraced.
█ Our Auto Fibonacci Retracement indicator analyzes the market in real-time and draws Fibonacci levels automatically for you on the chart. Real-time fib levels use the current swing points, which gives you a huge advantage when using them in your trading. You can always be sure that the levels are calculated from the correct swing high and low, regardless of the current trend. The algorithm has a trend filter and shifts the swing points if there is a trend change.
The user can set the preferred swing move to scalping, trend trading, or swing trading. This way, you can use our automatic fib indicator to do any trading. The auto fib works on any market and timeframe and displays the most important levels in real-time for you.
█ This Auto Fib Retracement indicator for TradingView is powerful since it does the job for you in real-time. Apply it to the chart, set the swing move to fit your trading style, and leave it on the chart. The indicator does the rest for you. The auto Fibonacci indicator calculates and plots the levels for you in any market and timeframe. In addition, it even changes the swing points based on the current trend direction, allowing traders to get the correct Fibonacci levels in every trend.
█ How does the Auto Fib Draw the levels?
The algorithm analyzes the recent price action and examines the current trend; based on the trend direction, two significant swings (high and low) are identified, and Fibonacci levels will then be plotted automatically on the chart. If the algorithm has identified an uptrend, it will calculate the Fibonacci levels from the swing low and up to the swing high. Similarly, if the algorithm has identified a downtrend, it will calculate the Fibonacci levels from the swing high and down to the swing low.
█ HOW TO USE
The levels allow for a quick and easy understanding of the current Fibonacci levels and help traders anticipate and react when the price levels are tested. In addition, the levels are often used for entries to determine stop-loss levels and to set profit targets. It's also common for traders to use Fibonacci levels to identify resistance and support levels.
Traders can set alerts when the levels are tested.
-----------------
Disclaimer
Copyright by Zeiierman.
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!
SIVE 2.0 - [Soldi]SIVE 2.0 IS FINALLY HERE, after the long awaited update we are finally able to bring to you SIVE 2.0!
SIVE 1.0 (Systematic Institutional Volatility Expansion) brought a whole new approach to the algorithm and retail trading game on TradingView. Never before have you had access to a quantitative institutional approach like this, after years in development and testing we finally brought SIVE 1.0 to market. With very very high demand, support and so much positive feedback we knew that what we've created really hit the mark for so many traders!
What is SIVE?
SIVE as stated above stands for, Systematic Institutional Volatility Expansion. What this means is we have a highly effective system that reads what institutional algorithms are proven to be looking at. While only providing alerts during periods where Volatility is Expanding
We don't shy away from volatility here, that is where the bread and butter lays. volatility is a double edged sword that not many people know how to effectively use to their advantage. Simply put, because they are told in their retail trading that volatility is risky, and that you should stay away from volatile products. I say embrace it with the right tools.
What Has Changed?
At the core, SIVE 2.0 brings more efficient calculations to the volatility modelling as well as the triggering of trades!
Trend Scalper - This is a sub-set strategy we have included, what it measures is 'Super Trend' with a deviation of 7 and the MTI ribbon crosses. This is to be used as a way to scalp and trade the momentum of the market. I am aware that another brand/community has put this out as a paid feature to their algorithm. Since they didn't want to credit me for my contribution I decided to release it for free and also add it here. This is listed in my scripts as a free to use access.
Volatility Confluence - We have now also added a feature where you can choose how many volatility models you want to be aligned before SIVE calls an alert. There are a total of 9 models we have included, example. You choose 3 'Volatility Confluence', this means that SIVE will only call alerts when 3 of those 9 models agree. This can be very effective if you want to have more refined volatility trades, giving you more confidence that an expansion will take place.
Low Volatility Flashes - You now have the ability to control the low volatility back ground flash feature that was included with SIVE 1.0
Volatility Candles - You can now plot the volatility strength as candles! before you weren't able to see the actual underlaying volatility . Till now, turn this on and watch it turn you candles into a colourful array of the rainbow based on the volatility . Note - You will either need to *bring to front* or turn off the price data to see it
Take Profit System (beta) - Before on SIVE 1.0 and in the beta versions we had an early version of the money management. Where based on the ATR on the trade it would give you a suggested Stop Loss and Take Profit area. Now we have completely over hauled that and re calculated how we approach this also giving the trader 2 different options to choose from for suggested Stop Loss placement. We also included a 'Dynamic Take Profit' system that's based on the MTI to give you momentum based Take Profits. These are still in beta stages so any feedback is much appreciated and as always will be reviewed and considered.
RSI bands - Reverse plot the RSI onto your chart. Plot the over sold and over Bought static lines to price!
Moving Average Filter ( Multi Time Frame ) - Introducing a way further refine the trade alerts and give more power into the traders hands. We know that many many traders like to only trade if example. price is Greater Than 200 EMA. We wanted to give traders a choice to refine the trade alerts based on this information. You can choose between 'Price vs MA' - which is explained in that example just provided. The other option is 'MA vs MA', this allows you to filter out trades based on if a Moving Average of your choice(MA1) is Greater than MA2. With all this we also provided Multi Time Frame accessibility to just further give the trader more control and range. You also have the ability to just plot the Moving averages and not filter the trades at all!
Kill Zone / Time Sessions - Including another free script that has already been posted to my account. This script is also unique as it plots the specified time zones 24 hours in advanced . If you trade example. 'New York Session', Instead of using an indicator that only shows you after the fact it happens. You can now plot that time zone 24 Hours in advanced and watch how price trades to it and interacts with it. It has 4 completely customizable Time Zone slots. Please adjust to your time zone and desired sessions.
Here are some examples of SIVE working across various charts with the different features
USDCAD - 1 Hour
Take Profit System
XAUUSD ( Gold ) - 15 min
Trend Scalper System
US30(Dow Jones) - 15 min
Volatility Candles + Low Volatility Flashes
BTCUSD ( Bitcoin ) - 1 hour
Support / Resistance + Dashboard + Multi Time Frame MTI
USOIL (WTI Crude Oil ) - 5m
Kill Zones + Moving Average Filter
APPL( Apple ) - 1 hour
Moving Average Filter
Technimentals RobotThis robot includes multiple trade signal algorithms and technical overlays. With tools for all markets and trading styles, access original and beautiful charting tools that work for you.
Flexible and robust trend detection & confirmation
Maverick mean reversion signals
Immensely customizable settings for all markets
Indicator prediction zones, perfect for options traders
The most beautiful bands in the world
As of this update, Technimentals Robot includes:
Queen Mary - A powerful mean reversion algorithm which compares the performance of the chart against the performance of a user-chosen benchmark. She uses short term mean reversion optionally combined with longer term trend following logic to detect possible deviations and thus unique pivot points which may lead to short term reversals or continuations of trend.
Brian - An agile and fully customizable trend following algorithm which uses various filtering systems to hone signals.
Prediction Zones - Projections of future price levels and indicator levels, currently featuring RSI and MFI.
Volume Weighted Filtered Bands - The most beautiful bands in the world.
...and much more! Check the change log below for new features.
Technimentals Robot is an all-in-one suite of indicators designed to be used as a standalone trading system. The backbone of this indicator is the trade signal generation. However, blindly following trade signals without context is unwise and that's where the supplementary bands and Prediction Zones come in. The signals are designed to be used primarily for entry signals; the bands can be used to determine whether or not a chart is overextended (and worth stopping out or profit taking) or not. The Prediction Zones are built in particular for those wishing to trade these signals via options due to the quantifiable nature of their predictions, but they too can be used to add an extra data point for knowing which areas of support & resistance to use when determining take profit and stop loss locations.
Sub-Component Descriptions:
Queen Mary
Queen Mary is a versatile trading signal generator which uses another symbol as a benchmark to build trading signals for your chart.
Queen Mary works by detecting whether or not there are sustained divergences and alerts the user via trade signals for when reversions to the mean are expected.
A typical use case for Queen Mary would be to set her to run on a technology stock with a technology ETF as the benchmark, but you use any pair of your choice.
Buy signals on the chart simultaneously indicate sell signals in the benchmark.
This can be used for pairs trading and long/short portfolio strategies.
Suppose the following; you’ve applied Queen Mary to a chart of AAPL and are using XLK as the benchmark. A buy signal for AAPL would also indicate a sell signal for the XLK. The user could then long AAPL and short XLK the same dollar amount, expecting a reversion to the mean.
Brian
Brian is a flexible trend following algorithm which uses multiple filtering techniques to hone entries and exits.
Brian has been designed to catch every major trend without fail. The inevitable problem all breakout or trend following algorithms face is their propensity to get chopped up during sideways market action. Brian addresses this problem via the ‘Risk’ setting which allows the user to determine the market conditions via a risk/reward standpoint.
During periods of sideways action, the risk setting should be increased. This will reduce the number of signals Brian gives and increase the odds of the breakout leading to a continuation.
Brian signals profit taking signals via blue flags. These always occur at a user defined risk to reward ratio. Partial profits should always be taken as soon as these flags occur. It is advised to use a user-defined trailing stop loss on the remaining position which suits the user’s own risk preferences.
Prediction Zones
Prediction Zones predict zones of indicator and price levels into the future.
Currently featuring the Relative Strength Index and the Money Flow Index, Prediction Zones will display at what future prices these indicators will reach user defined outputs.
A classic use-case example of this would be for options traders as these zones can be used as support and resistance areas. For example, if you believe the daily RSI won’t reach below 30 before the end of the week, you can use this zone as another data point for deciding where to put your short strike.
The zones can be shown into the past too so you can see how they behaved on historical data.
Volume Weighted Filtered Bands
These bands are built by firstly using a volatility and short term range detection algorithm and plugging this into three different lengths of smoothing filters. The output is then combined and filtered one last time before being coloured and plotted as multiple bands.
They can be customized to suit any trading style, but were built with scalp traders particularly in mind. It’s rare for prices to deviate from these bands for long.
A typical use case for these bands would be to trade with the trend while price is trading cleanly inside and in the same direction as the bands. Profit taking should typically be considered when price exceeds the bands, although this will depend on the settings chosen by the user.
The bands can also be used to gauge volatility (with an unusual increase in width) and volume (increased brightness).
The brightness of the bands are determined by volume, the brighter the bands are, the greater the volume.
Queen Mary
Brian
Most of the above images were carefully chosen, others were not. No indicator or strategy is perfect. Trend following algorithms will inevitably experience chop. Mean reversion algorithms will inevitably miss out on the big moves. Our tools aim to give you the data to help you determine which signals to act upon.
You are responsible for your own trading decisions. Trading signals are worthless if you do not have a clear plan, including exit targets and risk management. If you do not have these, you should study them seriously before considering fancy indicators. This indicator is probably unsuitable for beginners.
SIVE 2.0SIVE 2.0 IS FINALLY HERE, after the long awaited update we are finally able to bring to you SIVE 2.0!
SIVE 1.0 (Systematic Institutional Volatility Expansion) brought a whole new approach to the algorithm and retail trading game on TradingView. Never before have you had access to a quantitative institutional approach like this, after years in development and testing we finally brought SIVE 1.0 to market. With very very high demand, support and so much positive feedback we knew that what we've created really hit the mark for so many traders!
What is SIVE?
SIVE as stated above stands for, Systematic Institutional Volatility Expansion. What this means is we have a highly effective system that reads what institutional algorithms are proven to be looking at. While only providing alerts during periods where Volatility is Expanding
We don't shy away from volatility here, that is where the bread and butter lays. volatility is a double edged sword that not many people know how to effectively use to their advantage. Simply put, because they are told in their retail trading that volatility is risky, and that you should stay away from volatile products. I say embrace it with the right tools.
What Has Changed?
At the core, SIVE 2.0 brings more efficient calculations to the volatility modelling as well as the triggering of trades!
Trend Scalper - This is a sub-set strategy we have included, what it measures is 'Super Trend' with a deviation of 7 and the MTI ribbon crosses. This is to be used as a way to scalp and trade the momentum of the market. I am aware that another brand/community has put this out as a paid feature to their algorithm. Since they didn't want to credit me for my contribution I decided to release it for free and also add it here. This is listed in my scripts as a free to use access.
Volatility Confluence - We have now also added a feature where you can choose how many volatility models you want to be aligned before SIVE calls an alert. There are a total of 9 models we have included, example. You choose 3 'Volatility Confluence', this means that SIVE will only call alerts when 3 of those 9 models agree. This can be very effective if you want to have more refined volatility trades, giving you more confidence that an expansion will take place.
Low Volatility Flashes - You now have the ability to control the low volatility back ground flash feature that was included with SIVE 1.0
Volatility Candles - You can now plot the volatility strength as candles! before you weren't able to see the actual underlaying volatility. Till now, turn this on and watch it turn you candles into a colourful array of the rainbow based on the volatility. Note - You will either need to *bring to front* or turn off the price data to see it
Take Profit System (beta) - Before on SIVE 1.0 and in the beta versions we had an early version of the money management. Where based on the ATR on the trade it would give you a suggested Stop Loss and Take Profit area. Now we have completely over hauled that and re calculated how we approach this also giving the trader 2 different options to choose from for suggested Stop Loss placement. We also included a 'Dynamic Take Profit' system that's based on the MTI to give you momentum based Take Profits. These are still in beta stages so any feedback is much appreciated and as always will be reviewed and considered.
RSI bands - Reverse plot the RSI onto your chart. Plot the over sold and over Bought static lines to price!
Moving Average Filter (Multi Time Frame) - Introducing a way further refine the trade alerts and give more power into the traders hands. We know that many many traders like to only trade if example. price is Greater Than 200 EMA . We wanted to give traders a choice to refine the trade alerts based on this information. You can choose between 'Price vs MA' - which is explained in that example just provided. The other option is 'MA vs MA', this allows you to filter out trades based on if a Moving Average of your choice(MA1) is Greater than MA2. With all this we also provided Multi Time Frame accessibility to just further give the trader more control and range. You also have the ability to just plot the Moving averages and not filter the trades at all!
Kill Zone / Time Sessions - Including another free script that has already been posted to my account. This script is also unique as it plots the specified time zones 24 hours in advanced. If you trade example. 'New York Session', Instead of using an indicator that only shows you after the fact it happens. You can now plot that time zone 24 Hours in advanced and watch how price trades to it and interacts with it. It has 4 completely customizable Time Zone slots. Please adjust to your time zone and desired sessions.
Here are some examples of SIVE working across various charts with the different features
USDCAD - 1 Hour
Take Profit System
XAUUSD(Gold) - 15 min
Trend Scalper System
US30(Dow Jones) - 15 min
Volatility Candles + Low Volatility Flashes
BTCUSD(Bitcoin) - 1 hour
Support / Resistance + Dashboard + Multi Time Frame MTI
USOIL(WTI Crude Oil) - 5m
Kill Zones + Moving Average Filter
APPL(Apple) - 1 hour
Moving Average Filter
Please report any bugs, feedback or suggestions you have about SIVE to myself or in the Discord so we can review it and take action!
If it isn't Soldi, it isn't money
Synthetic Price Action GeneratorNOTICE:
First thing you need to know, it "DOES NOT" reflect the price of the ticker you will load it on. THIS IS NOT AN INDICATOR FOR TRADING! It's a developer tool solely generating random values that look exactly like the fractals we observe every single day. This script's generated candles are as fake as the never ending garbage news cycles we are often force fed and expected to believe by using carefully scripted narratives peddled as hypnotic truth to psychologically and emotionally influence you to the point of control by coercion and subjugation. I wanted to make the script's synthetic nature very clear using that analogy, it's dynamically artificial. Do not accidentally become disillusioned by this scripts values, make trading decisions from it, and lastly don't become victim to predatory media magic ministry parrots with pretty, handsome smiles, compelling you to board their ferris wheel of fear. Now, on to the good stuff...
BACKSTORY:
Occasionally I find myself in situations where I have to build analyzers in Pine to actually build novel quantitative analytic indicators and tools worthy of future use. These analyzers certainly don't exist on this platform, but usually are required to engineer and tweak algorithms of the highest quality with the finest computational caliber. I have numerous other synthesizers to publish besides this one.
For many reasons, I needed a synthetic environment to utilize the analyzers I built in Pine, to even pursue building some exotic indicators and algorithms. Pine doesn't allow sourcing of tuples. Not to mention, I required numerous Pine advancements to make long held dreams into tangible realities. Many Pine upgrades have arrived and MANY, MANY more are in need of implementation for all. Now that I have this, intending to use it in the future often when in need, you can now use it too. I do anticipate some skilled Pine poets will employ this intended handy utility to design and/or improved indicators for trading.
ORIGIN:
This was inspired by the brilliance from the world renowned ALGOmist John F. Ehlers, but it's taken on a completely alien form from its original DNA. Browsing on the internet for something else, I came across an article with a small code snippet, and I remembered an old wish of mine. I have long known that by flipping back and forth on specific tickers and timeframes in my Watchlist is not the most efficient way to evaluate indicators in multiple theatres of price action. I realized, I always wanted to possess and use this sort of tool, so... I put it into Pine form, but now have decided to inject it with Pine Script steroids. The outcome is highly mutable candle formations in a reusable mutagenic package, observable above and masquerading as genuine looking price candles.
OVERVIEW:
I guess you could call it a price action synthesizer, but I entitled it "Synthetic Price Action Generator" for those who may be searching for such a thing. You may find this more useful on the All or 5Y charts initially to witness indication from beginning (barstate.isfirst === barindex==0) to end (last_bar_index), but you may also use keyboard shortcuts + + to view the earliest plottable bars on any timeframe. I often use that keyboard shortcut to qualify an indicator through the entirety of it's runtime.
A lot can go wrong unexpectedly with indicator initialization, and you will never know it if you don't inspect it. Many recursively endowed Infinite Impulse Response (IIR) Filters can initialize with unintended results that minutely ring in slightly erroneous fashion for the entire runtime, beginning to end, causing deviations from "what should of been..." values with false signals. Looking closely at spg(), you will recognize that 3 EMAs are employed to manage and maintain randomness of CLOSE, HIGH, and LOW. In fact, any indicator's barindex==0 initialization can be inspected with the keyboard shortcuts above. If you see anything obviously strange in an authors indicator, please contact the developer if possible and respectfully notify them.
PURPOSE:
The primary intended application of this script, is to offer developers from advanced to even novice skill levels assistance with building next generation indicators. Mostly, it's purpose is for testing and troubleshooting indicators AND evaluating how they perform in a "manageable" randomized environment. Some times indicators flake out on rare but problematic price fluctuations, and this may help you with finding your issues/errata sooner than later. While the candles upon initial loading look pristine, by tweaking it to the minval/maxval parameters limits OR beyond with a few code modifications, you can generate unusual volatility, for instance... huge wicks. Limits of minval= and maxval= of are by default set to a comfort zone of operation. Massive wicks or candle bodies will undoubtedly affect your indication and often render them useless on tickers that exhibit that behavior, like WGMCF intraday currently.
Copy/paste boundaries are provided for relevant insertion into another script. Paste placement should happen at the very top of a script. Note that by overwriting the close, open, high, etc... values, your compiler will give you generous warnings of "variable shadowing" in abundance, but this is an expected part of applying it to your novel script, no worries. plotcandle() can be copied over too and enabled/disabled in Settings->Style. Always remember to fully remove this scripts' code and those assignments properly before actual trading use of your script occurs, AND specifically when publishing. The entirety of this provided code should never, never exist in a published indicator.
OTHER INTENTIONS:
Even though these are 100% synthetic generated price points, you will notice ALL of the fractal pseudo-patterns that commonly exist in the markets, are naturally occurring with this generator too. You can also swiftly immerse yourself in pattern recognition exercises with increased efficiency in real time by clicking any SPAG Setting in focus and then using the up/down arrow keys. I hope I explained potential uses adequately...
On a personal note, the existence of fractal symmetry often makes me wonder, do we truly live in a totality chaotic universe or is it ordered mathematically for some outcomes to a certain extent. I think both. My observations, it's a pre-deterministic reality completely influenced by infinitesimal amounts of sentient free will with unimaginable existing and emerging quantities. Some how an unknown mysterious mechanism governing the totality of universal physics and mathematics counts this 100.0% flawlessly and perpetually. Anyways, you can't change the past that long existed before your birth or even yesterday, but you can choose to dream, create, and forge the future into your desires and hopes. As always, shite always happens when your not looking for it. What you choose to do after stepping in it unintentionally... is totally up to you. :) Maybe this tool and tips provided will aid you in not stepping in an algo cachucha up to your ankles somehow.
SCRIPTING LESSONS PORTRAYED IN THIS SCRIPT:
Pine etiquette and code cleanliness
Overwrite capabilities of built-in Pine variables for testing indicators
Various techniques to organize Settings panel while providing ease of adjustment utility
Use of tooltip= to provide users adequate valuable information. Most people want to trade with indicators, not blindly make adjustments to them without any knowledge of their intended operation/effects
When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members , I may implement more ideas when they present themselves as worthy additions. Have a profitable future everyone!
SB Master Chart v5 (Public)SB Master Chart v5 is the latest progression of the SB Master Chart series of charts.
The original SB Master Chart and its successors was designed to be a visual aid for the savvy investor. The original concept was designed to provide valuable information so decisions could be made at a glance with utmost confidence.
As the chart progressed through versions, it has slowly shifted the responsibility of decision making from the trader to the indicator. In this version of the script, we have updated the backend decision code. The script has 3 distinct personalities coded to compliment each other, as well as keep the others in check..
The first personality is the buy algorithm. The buy personality is based on two conditions. The first algorithm first determines a trend, then it waits for a confirmation. The personality is comprised of the following indicators.
EMA 7
EMA 14
MACD
Stochastic
RSI
By default, the first personality has its visual settings disabled. Its still working, its just not displayed on the chart. It can be enabled in the settings. The background colors designate trend and confirmation.
The second personality is stubborn and its committed to making a profit. Its a hard line in the sand that configurable by you the user. Its the take profit/trailing take profit setting. It will not let other personalities sell for less than these configured values. The visual component of personality two is represented by black dots. This serves to showcase its minimum profit target when opening a trade and a trailing stop loss when the price exceeds the minimum profit target.
The third personality is the guy that does the dirty work that nobody wants to admit they do. This personality is based on the original SB Master Chart algorithm. This personality takes over when the first personality is unable to turn a profit. This personality goes to work finding appropriate places to dollar cost average. There are two settings that affect this personality.
DCA %
Risk Multiplier (use extreme caution, this could cause a margin call if used inappropriately).
DCA percent setting restricts this algorithm from buying when the price has not fallen below this threshold.
Risk Multiplier instructs this algorithm how much positions/qty to buy when it buys. At 2x, the algorithm will buy enough shares to double its current position, at 3x the algorithm will buy enough shares to triple its current position.
The visual representations of the third personality are that of red, orange, yellow and green. Red means overbought. When an orange appears just prior to a red, that orange means overbought with volume. Green means oversold and an orange preceding a green is an oversold with volume. Both the red and green represent an possible trend reversal and that's the signal to buy when its green.
This personality is comprised of the following indicators:
RSI
Stochastic
MACD
Bollinger
Volume
The code also features 3 modes. Altering the mode setting changes the way the personalities work together (or do not work together).
Normal
Aggressive
Buy the Dip
Mode Normal works exactly like described above. Each personality has its own duty and they do not interfere with each others work.
Aggressive mode adjusts the dynamic and both the first personality and the third personality share an equal part in opening starter positions.
Buy the Dip mode prevents personality one from buying. Since personality one only buys uptrends, you will never see it buying a dip. This mode puts personality 3 in the spotlight. All position are typically opened during a fast/quick market decline. Personality three is still bound by the rules of personality 2, but its responsible for buying and dollar cost averaging.
I have also included labels for every buy/sell. A green label is the script making its first purchase, yellow is points where it decided to dollar cost average and the red is where it chose to deleverage by closing out all its positions. Nothing prevents the algorithm from buying immediately after a sell, this is by design because we do not want to miss out on an uptrend, but we also do not want to be caught with too much leverage.
Also included vital statistics on the top right of the chart.
Open Positions
Cost Basis
Current Gain/Loss
Minimum Profit Target
Trailing Stop Loss
Total Trades to Date
Maximum Positions/Qty to Date
In the bottom right of the chart, I have the user configurable settings. This is important so a user can at a glance see the settings of the chart without having to open the options menu.
Together, all three personalities form a COMPLETE trading system. The system tracks purchase quantity, cost basis from the first buy, adjust with each new buy and calculates the running profit from the begining of the date set in the settings if it were to have bought and sold at every signal. The public version of the script requires the trader to use the script in real time watching for buy and sell opportunities. The private subscription version of the script has custom alerts that can be configured to alert the user on when to buy and sell and also gives the user appropriate trailing stop loss settings to automate the trading process.
I want to name the personalities at some point in time for the novelty factor, but I wanted to release the script as soon as possible for others to enjoy, so they are nameless at this point. If you have suggestions, please contact me with your suggestion. I will credit the person with the best personality with a free subscription to the private version of this indicator.
As always, understand the risks of trading and trade responsibly. Nothing in this script can predict the future. Past results do not guarantee future performance
CroSel Indicator ToolboxA value-packed or all-in-one indicator. The main one is probably the algorithmic signal. I have noticed a few trading groups that rely solely on their algo trading signals. I have derived my own using MACD . I find that it works better or just as good as what I have seen. The others indicators are also very powerful and could even be used on a stand alone basis. There are different variations included. I wanted to provide 10x the value at whatever price I would put on this. However I think I've provided at least 20x the expected value. What I like about this is that with more signals, we can visually see confluence. In turn, that should give us traders confidence. The follow is a list of all the indicators I've included so far:
How to use (for all indicators): I suggest using these trade signals as confluence for the main algorithmic trade signals. Aside from MACD and RSI , there are a limited number of signals, but they will all show up within the most recent bars that have passed. Buy when green/lime and sell when red/fuchsia. I suggest experimenting with the the different modes to see what you believe works best for your trading style.
I prefer to use the last signal provided, but I also like to rely on looking at signals as a group, if they are all rising, I'm bullish ; if they are all falling, I'm bearish .
Note on Color Scheme: Red/Fuchsia color means to short/sell and green/lime color means to long/buy.
- Algorithmic signal - provides trade signals. How to use: When there is a green arrow up, it means you should go long. When there is a red arrow down, it means you should exit your long or short sell. If the arrow is lime colored, it means the stock is trending upwards and if the arrow is fuchsia, it means the stock is trending downwards.
- Band and hit count - provides bands to track volatility , as well as tracks the number of times the price hits the upper or lower bands. It also provides candle-to-candle slope as a %. How to use: You can use this to play the odds in your favor. For example: if a stock hits the upper bands 13 times during the morning, and then hits the lower bands 4 times afterwards and then moves upwards away from the lower bands towards the middle of the bands, from here we may be able to say that since 13 is greater than 4, that the stock price may rise again and start hitting the upper bands. Another way I like to use this indicator, is if a stock hits the upper bands more than 16 to 20 times, I like to exit the trade before it has a chance to drop. Lastly, there are zones where a stock price will go above or below 100% or 0% respectively. For example, a stock starts to hit the 110% area of the bands. This could be an excellent time to sell/short the stock.
- Volume surge - provides signals of when volume is increasing/decreasing depending on the color and direction. How to use: Gives you confidence that the price will rise higher/lower.
- EMA 5 & 10 - It is the exponential moving average of the past 5 or 10 bars. It will be either be red or green depending on the slope. How to use: I like to use it as if it were a trend line (which I like to call slanted support/resistance ). For example, if I buy a stock and it falls below EMA 10 I will generally sell the stock, and if it rises past EMA 5 I will generally buy the stock.
- Background color - Background color shows whether the stock is bullish or bearish . If it is green/red, it is slightly bullish / bearish respectively. If it is lime/fuchsia, it is very bullish / bearish respectively. How to use: Take long positions if the background color is greenish(i.e. green/lime) and take short position if the background color is reddish (i.e.red/fuchsia). Please bear in mind, background color will look slightly different if you are already coloring the extended hour session backgrounds.
- Channel Breakout Lines - These lines show the rigid channel that the stock will travel through. How to use: Watch a stock that is in a channel, if it is going up, watch the red dotted line which extends into the future,
if it the stock falls below that previous red dotted line you should sell/short the stock. If a stock is going down, watch the green dotted line, and if the stock goes past the previous green dotted line, you should buy.
- MACD - Moving Average Convergence and Divergence provides trade signals. How to use: 1 turns it off. 2 provides the classic, buy and sell signals based on when the MACD line crosses over or under the signal line. 3 provides faster trade
signals. 4 provides the algorithmic signals. All variations can change according to Algo sensitivity and Algo Signal speed since the algo uses MACD as it's base.
- RSI - Relative Strength Index provides trade signals. How to use: 1 turn it off, 2 turns on and provides the buy and sell signals for above 70 and below 30 RSI respectively. 3 and 4 provide slow and fast RSI trade signals respectively.
4 is my favorite and can be used to provide confluence.
- VWAP - Volume Weighted Average Price . a 2 value is the regular vwap line. A value of 3 or 4 will show that the VWAP line or fill from line until the close is colored
according to slope of EMA 5. How to use: Buy below the VWAP if it shows some support and sell/Short above if it shows some resistance. When the color is red it will show the
- ROC - Rate of Change trade signals. Take note of the circle shaped symbols. Normal mode shows you when the rate of change has crossed the zero line; this can be a very bullish or bearish signal. 3rd mode will gives signals based on whether ROC has stopped making new highs or new lows. 4th mode gives the fastest signals, making it the least risky.
- MFI - Money Flow Index trade Signals. Take note of the Long arrow symbols. Modes work as described.
- BOP - Balance of power trade signals. Take note of the square symbols. The simple mode provides only the biggest trade signals, and the complex mode provides both the biggest and smallest trade signals.
- OBV - A running total of positive and negative volume . Take note of the diamond shaped symbols. Slow signals are really slow. Fast signals are really fast. Use according to your trading speed preference.
- Stochastics - A momentum oscillator that provides trade signals. Take note of the plus shaped symbols and factor them into your judgement on when to trade.
- CCI - Commodity Channel Index trade signals based on momentum. Take note of the X symbols.
- CMF - Chaikin Money Flow trade signals. Take note of the flag symbols.
- ADX - ADX is a component of the Directional Movement System developed by Welles Wilder. When it says to buy, I suggest that you go long, and then before it says to sell you try to sell. And then you can also try to go long before it says to buy. As soon as I see buy, I want to be in the stock and conversely, when I see sell I want to be out of it.
- Price-Volume Divergence - This indicator is a candle by candle indicator which shows that if volume is rising and price is falling, then there is bullish divergence , Conversely if price is rising and volume is falling there is bearish divergence. This a leading indicator.
- Ichimoku Clouds - This indicator just shows the clouds in the Ichimoku cloud system. It can be used to buy under the clouds and sell over the clouds. It can also be used as a possible support/resistance level during an uptrend/downtrend respectively.
- PSAR - Parabolic Stop and Reverse . Denotes uptrends/downtrends, by multiple dotted lines. You can use it by buying/selling when it breaks out of a downtrend/uptrend respectively. Or you can use it to sell/buy during an uptrend/downtrend respectively. Warning: it is generally slow. I find that it's very reliable from a 5 minute perspective.
- Fibonacci levels - People generally use Fibonacci levels for retracement for when a stock pulls back. I personally like to use it as a predictive tool along with looking at the slope. If the slope is negative/positive and moving away/near from 50% line then, I would be bearish / bullish respectively.
- Moving Average ( EMA and SMA ) lines - Exponential moving average and Smooth moving average lines. EMA lines move faster and SMA lines move slower. I like to use these lines as trend lines which can tell me if there is an uptrend or downtrend. The strength of the trend is shown by the distance away from the slowest EMA / SMA lines. I like to sell when it's far above the trendline, and buy when it's closer to the trendline. Be weary of the price crossing trendlines .
- Information Panel - (Price location, Trend Strength, Volatilty Ratio, Current State, Reversal/Continuation Odds): Mode 2 will give you basic price location info. Mode 3 is my favorite and will give you the most info. and Mode 4 will give you the Schwager volatility ratio which can help with stock selection; the higher the ratio, the more movement can be expected.
- Support & Resistance levels - Horizontal dotted lines which show the stock price and where it experiences support/resistance . Can be used in many ways. I like to use it by counting the number of support/resistance lines provided and if support lines exceed resistance lines, I will be more likely to go long.
- Candle Colors - Overlay a color onto the Candles. Note: I encourage the use of Heiken Ashi which helps a lot with low volume candles. Candles can be colored according to their location within the bands, and also according to a trailing stop loss based on Average True Range . Buy low, sell high for the location mode and for the stop loss mode, selling/buying is encouraged when the bars go completely red/green respectively.
- Linear Regression - Draws a (black) line of best fit, and shows 2 standard deviations away from the line of best fit above(red) and below(green). I suggest buying/selling below/above the line of best fit respectively. Strong buys or sells generally occur below or above the standard deviation lines respectively.
JD's Apollo ConfirmationsJD Apollo Confirmations Indicator is used as the confirmation indicators for a number of other algorithms.
This has been specifically designed for Indicies, namely the US30.
How to use;
When the bars align, it means the price is heading in the direction of alignment.
This indicator is intended to be used as a confirmation indicator for other algorithms for best effect.
This algorithm combines a number of indicators with specifically tested and chosen settings that have shown to work on a number of timeframes.
How to Access
Gain access to JD Apollo Confirmations for your TradingView account through our website, links below.
7 day paid trials, subscriptions and lifetime access are all available.
JD Progress ConfirmationsJD Progress Confirmations Indicator is used as the confirmation indicators for a number of other algorithms.
This can be applied to Forex, Stocks and Crypto.
How to use;
When the bars align, it means the price is heading in the direction of alignment.
This indicator is intended to be used as a confirmation indicator for other algorithms for best effect.
This algorithm combines a number of indicators with specifically tested and chosen settings that have shown to work on a number of timeframes.
How to Access
Gain access to JD Progress Confirmations for your TradingView account through our website, links below.
7 day paid trials, subscriptions and lifetime access are all available.
All tiers give you full instructions on how to trade this strategy.
JD ConfirmationsJD Confirmations Indicator is used as the confirmation indicators for a number of other algorithms.
This can be applied to Forex, Stocks and Crypto.
How to use;
When the bars align, it means the price is heading in the direction of alignment.
This indicator is intended to be used as a confirmation indicator for other algorithms for best effect.
This algorithm combines a number of indicators with specifically tested and chosen settings that have shown to work on a number of timeframes.
How to Access
Gain access to JD Core for your TradingView account through our website, links below.
Both 7 day paid trials and lifetime access are available.
Both tiers give you full instructions on how to trade this strategy.
the "fasle" hull moving averageThere is a little different between my "fasle hull moving average" the "correct one".
the correct algorithm:
hma = wma((2*wma(close,n/2) - wma(close,n),sqrt(n))
the "fasle" algorithm:
=wma((2*wma(close,n/4) - wma(close,n),sqrt(n))
Amazing! Why the "fasle" describe the trend so accurate!?
PBVIP's BTC Printing MachineQ:What is the BTC Machine?
A: Its an scripted algorithm that forecasts institutional positions on the market.
Q:How did the script be able to do it?
A: My theory is that big players as banks, hedge firms or those we call 'whales' have defined position based on trading algorithms that are less human and more artificial inteligence driven. I setup several indicators basing on past performance of the market and evolved each one, each parameter as an neural network would do. The result is aimed to replicate a view of the market from the eyes of a bot.
Q: Its hard to understand?
A: To simplify it, the algoritm paints defined and polarised signals directly on the chart, as "long", "exit long", "Short", and "exit short" so its fairly simple
I'm asking 0.05btc per month on the renting system or 10btc for full access on the script
Q: Where it works?
A: Mainly on Bitmex pairs, but is proven to work on binance, stock market pairs and even on forex.
FIAfirecrest Trading System(INVITE ONLY indicator. TRIAL ONLY indicator Delay by 15 candles available here .)
To access real time indicators click here for subscription.
Please don't post comment to ask for invitation. This indicator based on our own smart signal algorithm:
FIAfirecrest IS BASED ON OUR OWN ALGORITHM:
FIAfirecrest is actually a trading system based on ‘trend following’ strategy. The system consists of several indicators which can give users trading signals as well as shows the validity of the trading signals.
Since FIAfirecrest are very concerned about ‘trend following’, therefore we urge our trader to also focus on ‘trend following’ only. Besides thats, FIAfirecrest also features several important qualities:
• The usage of colours improve trading clarity
• Easily to determine the market structure
• Enable to translate trading signal in many angle
• Includes take profit and stop loss level
• Early alert on any trend changes possibilities
FIAfirecrest trading system originally based on 3 smart signal indicators: FIAbreakout, FIAmist and FIApierce. FIAbreakout initial calculation based on higher lower high/low price, FIAmist originally based on momentum thus forming the trend, while FIApierce use as filter based on non-lag adaptive moving averages.
How to use:
FIAbreakout | area Grey, Yellow & Blue
FIAmist | area Green & Red
FIApierce | cross Green & Red
FIAosc | triangle Green & Red
FIAbreakout and FIAmist condition:
• LONG when price cross above Grey area and forming Yellow above Grey. Entry within FIAmist Green. Set your stop loss at lowest Grey.
• SHORT when price cross below Grey area and forming Blue below Grey. Entry within FIAmist Red. Set your stop loss at highest Grey.
FIApierce and FIAosc condition:
• FIApierce cross Green or sharp turn formation from Grey area. Is early signal price reverse from long to short. Entry short within FIAmist Red.
• FIApierce cross Red or sharp turn formation from Grey area. Is early signal price reverse from short to long. Entry short within FIAmist Green.
• Use FIAosc to filter whether both setup are valid or not.
That’s all for our FIAfirecrest Trading System.
FIAfirecrest Trading System Trial(TRIAL ONLY indicator Delay by 15 candles.)
To access real time indicators click here for subscription.
Please don't post comment to ask for remove delay. This indicator based on our own smart signal algorithm:
FIAfirecrest IS BASED ON OUR OWN ALGORITHM:
FIAfirecrest is actually a trading system based on ‘trend following’ strategy. The system consists of several indicators which can give users trading signals as well as shows the validity of the trading signals.
Since FIAfirecrest are very concerned about ‘trend following’, therefore we urge our trader to also focus on ‘trend following’ only. Besides thats, FIAfirecrest also features several important qualities:
• The usage of colours improve trading clarity
• Easily to determine the market structure
• Enable to translate trading signal in many angle
• Includes take profit and stop loss level
• Early alert on any trend changes possibilities
FIAfirecrest trading system originally based on 3 smart signal indicators: FIAbreakout, FIAmist and FIApierce. FIAbreakout initial calculation based on higher lower high/low price, FIAmist originally based on momentum thus forming the trend, while FIApierce use as filter based on non-lag adaptive moving averages.
How to use:
FIAbreakout | area Grey, Yellow & Blue
FIAmist | area Green & Red
FIApierce | cross Green & Red
FIAosc | triangle Green & Red
FIAbreakout and FIAmist condition:
• LONG when price cross above Grey area and forming Yellow above Grey. Entry within FIAmist Green. Set your stop loss at lowest Grey.
• SHORT when price cross below Grey area and forming Blue below Grey. Entry within FIAmist Red. Set your stop loss at highest Grey.
FIApierce and FIAosc condition:
• FIApierce cross Green or sharp turn formation from Grey area. Is early signal price reverse from long to short. Entry short within FIAmist Red.
• FIApierce cross Red or sharp turn formation from Grey area. Is early signal price reverse from short to long. Entry short within FIAmist Green.
• Use FIAosc to filter whether both setup are valid or not.
That’s all for our FIAfirecrest Trading System.
