ATR VisualizerAdvance Your Market Analysis with the True Range Indicator
The True Range Indicator is a sophisticated screener meticulously developed to bolster your trading execution by presenting an exceptional understanding of the market direction. The centerpiece of this instrument is a distinctive candle configuration depicting the Average True Range (ATR) and the Bear/Bull range. However, it traverses beyond the conventional channels to offer specific market settings to boost your trading decisions.
User-Defined Settings
Broadly, the indicator offers five dynamic settings:
Bear/Bull Range
The Bear/Bull Range outlines the ATR for each candle type - bearish and bullish - and then smartly opts for the pertinent one based on the prevalent market circumstances. This feature aids in comparing the range of bullish and bearish candlesticks, which deepens your understanding of the price action and volatility.
Bearish Range
The Bearish Range isolates and computes the ATR for bearish candles solely. Utilizing this option spots the bear-dominated periods and provides insights about potential market reversals or downward continuations.
Bullish Range
Opposite to the Bearish Range, the Bullish Range setting tabulates the ATR exclusively for bullish candles. It assists in tracking the periods when bulls control, enlightening traders about the possibility of upward continuations or trend reversals.
Average Range
The Average Range provides an unbiased measure of range without prioritizing either bull or bear trends. This model is ideal for traders looking for a holistic interpretation of market behavior, regardless of direction.
Cumulative Average Range
Equally significant is the Cumulative Average Range which calculates the aggregate moving average of the true ranges for an expressed period. This setting is extremely valuable when evaluating the long-term volatility and spotting potential breakouts.
Dual Candle Configuration
Going a step ahead, the True Range Indicator uniquely offers the possibility to incorporate more than one candle estimate on your screen. This ensures simultaneous analysis of multiple market dynamics, thereby enhancing your trading precision multifold.
Concluding Thoughts
In essence, the True Range Indicator is an indispensable companion for traders looking to not only leverage market volatility but also make educated predictions. Equipped with an array of insightful market settings and the ability to display dual candle estimates on-screen, you can customize the functionality to suit your unique trading style and magnify your market performance dramatically.
在腳本中搜尋"bear"
Price based concepts / quantifytools- Overview
Price based concepts incorporates a collection of multiple price action based concepts. Main component of the script is market structure, on top of which liquidity sweeps and deviations are built on, leaving imbalances the only standalone concept included. Each concept can be enabled/disabled separately for creating a selection of indications that one deems relevant for their purposes. Price based concepts are quantified using metrics that measure their expected behavior, such as historical likelihood of supportive price action for given market structure state and volume traded at liquidity sweeps. The concepts principally work on any chart, whether that is equities, currencies, cryptocurrencies or commodities, charts with volume data or no volume data. Essentially any asset that can be considered an ordinary speculative asset. The concepts also work on any timeframe, from second charts to monthly charts. None of the indications are repainted.
Market structure
Market structure is an analysis of support/resistance levels (pivots) and their position relative to each other. Market structure is considered to be bullish on a series of higher highs/higher lows and bearish on a series of lower highs/lower lows. Market structure shifts from bullish to bearish and vice versa on a break of the most recent pivot high/low, indicating weak ability to defend a key level from the dominating side. Supportive market structure typically provides lengthier and sustained trending environment, making it an ideal point of confluence for establishing directional bias for trades.
Liquidity sweeps
Liquidity sweeps are formed when price exceeds a pivot level that served as a provable level of demand once and is expected to display demand again when revisited. A simple way to look at liquidity sweeps is re-tests of untapped support/resistance levels.
Deviations
Deviations are formed when price exceeds a reference level (market structure shift level/liquidity sweep level) and shortly closes back in, leaving participating breakout traders in an awkward position. On further adverse movement, stuck breakout traders are forced to cover their underwater positions, creating ideal conditions for a lengthier reversal.
Imbalances
Imbalances, also known as fair value gaps or single prints, depict areas of inefficient and one sided transacting. Given inclination for markets to trade efficiently, price is naturally attracted to areas that lack proper participation, making imbalances ideal targets for entries or exits.
Key takeaways
- Price based concepts consists of market structure, liquidity sweeps, deviations and imbalances.
- Market structure shifts from bullish to bearish and vice versa on a break of the most recent pivot high/low, indicating weak ability to defend a key level from the dominating side.
- Supportive market structure tends to provide lengthier and sustained movement for the dominating side, making it an ideal foundation for establishing directional bias for trades.
- Liquidity sweeps are formed when price exceeds an untapped support/resistance level that served as a provable level of demand in the past, likely to show demand again when revisited.
- Deviations are formed when price exceeds a key level and shortly closes back in, leaving breakout traders in an awkward position. Further adverse movement compels trapped participants to cover their positions, creating ideal conditions for a reversal.
- Imbalances depict areas of inefficient and one sided transacting where price is naturally attracted to, making them ideal targets for entries or exits.
- Price based concepts are quantified using metrics that measure expected behavior, such as historical likelihood of supportive structure and volume traded at liquidity sweeps.
- For practical guide with practical examples, see last section.
Accessing script 🔑
See "Author's instructions" section, found at bottom of the script page.
Disclaimer
Price based concepts are not buy/sell signals, a standalone trading strategy or financial advice. They also do not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Price based concepts notify when a set of conditions are in place from a purely technical standpoint. Price based concepts should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis.
Price based concepts are backtested using metrics that reasonably depict their expected behaviour, such as historical likelihood of supportive price movement on each market structure state. The metrics are not intended to be elaborate and perfect, but to serve as a general barometer for feedback created by the indications. Backtesting is done first and foremost to exclude scenarios where the concepts clearly don't work or work suboptimally, in which case they can't be considered as valid evidence. Even when the metrics indicate historical reactions of good quality, price impact can and inevitably does deviate from the expected. Past results do not guarantee future performance.
- Example charts
Chart #1 : BTCUSDT
Chart #2 : EURUSD
Chart #3 : ES futures
Chart #4 : NG futures
Chart #5 : Custom timeframes
- Concepts
Market structure
Knowing when price has truly pivoted is much harder than it might seem at first. In this script, pivots are determined using a custom formula based on volatility adjusted average price, a fundamentally different approach to the widely used highest/lowest price within X amount of bars. The script calculates average price within set period and adjusts it to volatility. Using this formula, the script determines when price has turned significantly enough and aggressively enough to constitute a relevant pivot, resulting in high accuracy while ruling out subjective decision making completely. Users can adjust length of market structure basis and sensitivity of volatility adjustment to achieve desired magnitude of pivots, reflected on the average swing metrics. Note that structure pivots are backpainted. Typical confirmation time for a pivot is within 2-3 bars after peak in price.
Market structure shifts
Generally speaking, traders consider market structure to have shifted when most recent structure high/low gets taken out, flipping underlying bias from one side over to the other (e.g. from bullish structure favoring upside to bearish structure favoring downside). However, there are many ways to approach the concept and the most popular method might not always be the best one. Users can determine their own market structure shift rules by choosing source (close, high, low, ohlc4 etc.) for determining structure shift. Users can also choose additional rules for structure shift, such as two consecutive closes above/below pivot to qualify as a valid shift.
Liquidity sweeps
Users can set maximum amount of bars liquidity levels are considered relevant from the moment of confirmed pivot. By default liquidity levels are monitored for 250 bars and then discarded. Level of tolerance can be set to anything between 100 and 1000 bars. For each liquidity sweep, relative volume (volume relative to volume moving average) is stored and added to average calculations for keeping track of typical depth of liquidity found at sweeps.
Deviations
Users can set a maximum amount of bars price has to spend above/below reference level to consider a deviation to be in place. By default set to 6 bars.
Imbalances
Users can set a desired fill point for imbalances using the following options: 100%, 75%, 50%, 25%. Users can also opt for excluding insignificant imbalances to attain better relevance in indications.
- Backtesting
Built-in backtesting is based on metrics that are considered to reasonably quantify expected behaviour of the main concept, market structure. Structure feedback is monitored using two metrics, supportive structure and structure period gain. Rest of the metrics provided are informational in nature, such as average swing and average relative volume traded at liquidity sweeps. Main purpose of the metrics is to form a general barometer for monitoring whether or not the concepts can be viewed as valid evidence. When the concepts are clearly not working optimally, one should adjust expectations accordingly or take action to improve performance. To make any valid conclusions of performance, sample size should also be significant enough to eliminate randomness effectively. If sample size on any individual chart is insufficient, one should view feedback scores on multiple correlating and comparable charts to make up for the loss.
For more elaborate backtesting, price based concepts can be used in any other script that has a source input, including fully mechanic strategies utilizing Tradingview's native backtester. Each concept and their indications (e.g. higher low on a bearish structure, lower high on a bullish structure, market structure shift up, imbalance filled etc.) can be utilized separately and used as a component in a backtesting script of your choice.
Structure feedback
Structure feedback is monitored using two metrics, likelihood of supportive price movement following a market structure shift and average structure period gain. If either of the two employed tests indicate failed reactions beyond a tolerable level, one should take action to improve feedback by adjusting the settings. If feedback metrics after adjusting the settings are still insufficient, the concepts are working suboptimally for the given chart and cannot be regarded as valid technical evidence as they are.
Metric #1 : Supportive structure
Each structure pivot is benchmarked against its respective structure shift level. Feedback is considered successful if structure pivot takes place above market structure shift level (in the case of bullish structure) or below market structure shift level (in the case of bearish structure). Structure feedback constitutes as one test indicating how often a market structure state results in price movement that can be considered supportive.
Metric #2 : Structure period gain
Each structure period is expected to present favorable appreciation, measured from one market structure shift level to another. E.g. bullish structure period gain is measured from market structure shift up level to market structure shift down level that ends the bullish structure period. Bearish structure is measured in a vice versa manner, from market structure shift down level to market structure shift up level that ends the bearish structure period. Feedback is considered successful if average structure period gain is supportive for a given structure (positive for bullish structure, negative for bearish structure).
Additional metrics
On top of structure feedback metrics, percentage gain for each swing (distance between a pivot to previous pivot) is recorded and stored to average calculations. Average swing calculations shed light on typical pivot magnitude for better understanding changes made in market structure settings. Average relative volume traded at liquidity sweep on the other hand gives a clue of depth of liquidity typically found on a sweeps.
Feedback scores
When market structure (basis for most concepts) is working optimally, quality threshold for both feedback metrics are met. By default, threshold for supportive structure is set to 66%, indicating valid feedback on 2/3 of backtesting periods on average. On top, average structure period gain needs to be positive (for bullish structures) and negative (for bearish structure) to qualify as valid feedback. When both tests are passed, a tick indicating valid feedback will appear next to feedback scores, otherwise an exclamation mark indicating suboptimal performance on either or both. If both or either test fail, market structure parameters need to be optimized for better performance or one needs to adjust expectations accordingly.
Verifying backtest calculations
Backtest metrics can be toggled on via input menu, separately for bullish and bearish structure. When toggled on, both cumulative and average counters used in backtesting will appear on "Data Window" tab. Calculation states are shown at a point in time where cursor is hovered. E.g. when hovering cursor on 4th of January 2021, backtest calculations as they were during this date will be shown.
- Alerts
Available alerts are the following.
- HH/HL/LH/LL/EQL/EQH on a bullish/bearish structure
- Bullish/bearish market structure shift
- Bullish/bearish imbalance created
- Bullish/bearish imbalance filled
- Bullish/bearish liquidity sweep
- Bullish/bearish deviation
- Visuals
Each concept can be enabled/disabled separately for creating a selection indications that one deems relevant for their purposes. On top, each concept has a stealth visual option for more discreet visuals.
Unfilled imbalances and untapped liquidity levels can be extended forward to better gauge key areas of interest.
Liquidity sweeps have an intensity option, using color and width to visualize volume traded at sweep.
Market structure states and market structure shifts can be visualized as chart color.
Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts.
Table sizes, label sizes and colors are fully customizable via input menu.
- Practical guide
The basic idea behind market structure is that a side (bulls or bears) have shown significant weakness on a failed attempt to defend a key level (most recent pivot high/low). In the same way, a side has shown significant strength on a successful attempt to break through a key level. This successful break through a key level often leads to sustained lengthier movement for the side that provably has the upper hand, making it an ideal tool for establishing directional bias.
Multi-timeframe view of market structure provides crucial guidance for analyzing market structure states on any individual timeframe. If higher timeframe market structure is bullish, it doesn't make sense to expect contradicting lower timeframe market structure to provide significant adverse movement, but rather a normal correction within a long term trend. In the same way, if lower timeframe market structure is in agreement with higher timeframe market structure, one can expect a reliable trending environment to ensue as multiple points of confluence are in place.
Bullish structure can be considered constructive on a series of higher highs and higher lows, indicating strong interest from bulls to sustain an uptrend. Vice versa is true for bearish structure, a series of lower highs and lower lows can be considered constructive. When structure does not indicate strong interest to maintain a supportive trend (lower highs on bullish structure, higher lows on bearish structure), a structure shift and a turn in trend might be nearing.
Market structure shifts are of great interest for breakout traders who position for continuation. Structure shifts can indeed be fertile ground for executing a breakout trade, but breakouts can easily turn into fakeouts that leave participants in an awkward position. When price moves further away from the underwater participants, potential for snowball effect of covering positions and driving price further away is elevated.
Liquidity sweeps as a concept is based on the premise that pivoting price is evidence of meaningful depth of liquidity found at/around pivot. If liquidity existed at a pivot once, it is likely to exist there in the future as well. When price grinds against liquidity, it is on a path of resistance rather than path of least resistance. Pivots are also attractive placements for traders to set stop-losses, which act as fuel for price to move to the opposite direction when swept and triggered.
Behind tightly formed pivots are potentially many stop-loss orders lulled in the comfort of having many layers of levels protecting their position. Compression that leaves such clusters of unswept liquidity rarely goes unvisited.
As markets strive for efficient and proper transacting most of the time, imbalances serve as points in price where price is naturally attracted to. However, imbalances too are contextual and sometimes one sided trading is rewarded with follow through, rather than with a fill. Identifying market regimes give further clue into what to expect from imbalances. In a ranging environment, one can expect imbalances to fill relatively quick, making them ideal targets for entries and exits.
On a strongly trending environment on the other hand imbalances tend to stick for a much longer time. In such environments continuation can be expected with no fills or only partial fills. Signs of demand preventing fill attempts serve as additional clues for imminent continuation.
ADW - MomentumADW - Momentum is a trading indicator based on the Relative Momentum Index (RMI) and Exponential Moving Averages (EMAs). This indicator plots the RMI along with its EMAs and highlights regions where RMI crosses its slow EMA. Additionally, it provides alerts when the momentum flips bullish or bearish.
Key Features:
The RMI helps to identify momentum in the market.
Three EMAs (Fast, Standard, and Slow) were calculated on the RMI. These can be utilized to analyze the momentum trend over different periods.
Highlighted regions and colour coding to indicate when RMI crosses its Slow EMA, signalling potential momentum shifts.
Customizable parameters: Users can specify the lengths of the RMI and EMAs, boundaries for RMI, and colours for various components of the plot.
Alerts: The script can alert users when the momentum has flipped bullish or bearish.
The script is organized into several sections:
Inputs: The user can customize several parameters including the RMI averaging length, momentum lookback, RMI boundaries, and the EMA lengths. In addition, users can also specify the colours for the RMI line, Slow EMA line, and the fill colour.
RMI Calculation: The script calculates the RMI based on the user-provided length and momentum lookback. This is done by first calculating two EMAs - one for the positive differences between closing prices (emaInc), and one for the negative differences (emaDec). Then, the RMI is computed using these EMAs.
Plotting: The script plots the RMI line, Slow EMA line, and two horizontal lines indicating the RMI boundaries. In addition, it also fills the region between the RMI and Slow EMA lines.
Conditions: The script computes the conditions for bullish and bearish momentum flips. These are defined as when the RMI crosses above or below the Slow EMA respectively.
Alerts: Finally, the script sets up two alert conditions based on the bullish and bearish conditions. These alert the user when the momentum has flipped bullish or bearish, with a message that includes the current RMI value.
Leveraged Share VolumeHello everyone,
Did this quick reference indicator and figured I would share it as nothing like it exists that I could find.
What this does is it pulls leveraged share data and displays the bull share and bear share volume.
There are 5 pre-programmed shares. These include:
SPY
Pulls bull share data from: SPXL and UPRO
Pulls bear share data from: SPXU and SPXS
IWM
Pulls bull share data from: TNA
Pulls bear share data from: TZA
DIA
Pulls bull share data from: UDOW
Pulls bear share data from: SDOW
QQQ
Pulls bull share data from: TQQQ
Pulls bear share data from: SQQQ
XLE
Pulls bull share data from: ERX
Pulls bear share data from: ERY
As there continues to be more leveraged shares available (for example, AAPU, APPD, MSFT, TSLA, etc.) there is also the option to use these manual tickers as these shares become available. The image below shows the data input screen:
The indicator will default to show the data as a ratio. The ratio is calculated by the total bear shares over the total bull shares (sell to buy ratio). If you unselect the Ratio option (displayed in the image above), it will show the raw volume.
When data is displayed as a ratio, you will see the white SMA line. This will show you the average ratio over a 14 period lookback. This is customizeable under the SMA Length input (shown in the image above).
Indicator's purpose:
The aim of the indicator is to provide context as to where the current sentiment is. Its similar in concept to a put to call ratio. The idea is, the more bearish people are, the more inverse shares are being bought, the higher the ratio or raw volume for bear shares and vice versa for bullish situations.
If you would like some more contextual information about the powers of tracking this type of data for trading purposes, you can check out this idea I published about the relationship between leveraged shares and market sentiment/behaviour:
Otherwise, the indicator is pretty straight forward!
Its not meant to be anything but a reference indicator to help give you context of the current market positioning.
If you have any questions or suggestions, please feel free to leave them below.
Thank you for reading and checking out the indicator!
Safe trades everyone!
Volume Tick Analysis and Order Blocks [Tcs] | ALGOThe indicator has been developed to provide the most complete vision possible of liquidity areas, highly traded past price levels, and how volume tick analysis affects price action.
It helps to draw on all the areas that generate a price move, or market inefficiency.
The indicator has different features:
- ORDER BLOCKS : The indicator draws different kinds of order blocks on the chart.
• Real valuable order blocks - where the price reaction is more probable. It's define by a calculation of the quantity tick volume exchanged between bulls and bears on a price level, which can create a candle event, such as engulfing candles. For this motivation the order blocks plotted will be a real valuable area.
The threshold can be adjusted based on the strategy's needs, in particular this set up has been added to adapt the strategy on different kind of asset. For Cryptocurrency for example the best threshold are between 0.5 and 1. The lower the value, the fewer order blocks will be plotted, but they will be more valuable. It's possible to show the volume exchanged, the percentage, and who controlled the valuable area, bulls or bears, on these order blocks.
For a better visualization, the order block will change color (more transparent) after it will be violated for the first time, and it will be deleted once the price will break trough it.
All order blocks can be extend
GENERAL OB VISUALIZATION
EXAMPLE OF TRADES ON OB
It's also possible to plot the footprint of past and invalidated order blocks on the chart, which can help to draw lines for future valuable areas.
• Secondary order blocks are less valuable order blocks where the probability of a price reaction is less. Usually, they work for small retracements and are more useful for scalpers. the concept is the same as Primary order blocks but without a too restricted calculation of tick volume exchanged
• LIQUIDITY GRABS: Liquidity grabs are plotted on candles that try to invalidate an order block, but high volumes move them to the opposite direction. They happen when opposite players try to move the market in the opposite direction. They are calculated only on primary order blocks.
A good entry usually is when a liquidity grab appear, the price come in the liquidity grab area to fry liquidity and price close again in the liquidity grab area.
• VOLUME VSA: All candles with high and above-average volume are plotted on the chart for both bull and bear volume. It highlights more than average volume, high volume, and extreme volume with different colors. This can help to spot good entries or detect beginning/end of a trend. For example abnormal high volume at the end of a big price movement, in the same direction, can define the end of a trend. If same situation of abnormal high volume, but in the opposite direction of the trend, could define the beginning of a market inversion.
• FAIR VALUE GAPS: It highlights all the inefficiencies of market moves, which can be used as retracement or price return areas. Here, they can be adjusted based on how effective they are adjusting the volume threshold. Bulls and bears FVG are defined in different colors. More effective FVG are plotted in less transparent colors, and you will find three levels of effectiveness.
Both OB and FVG will change color once the price retraces on them, and they will be removed when they are invalidated.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
EMA + ATR Support/Resistance Auto-Boxed Range + Take profitUnveiling the 'EMA + ATR Support/Resistance Auto-Boxed Range + Take profit signal' tool, an innovative resource engineered for discerning traders to pinpoint crucial dynamic support and resistance levels (not like the common pivot based support and resistance indictors). The tool ingeniously amalgamates the power of EMA and ATR indicators to delineate these levels as green and red bands, offering invaluable insights into potential trading windows.
The real game-changers in this tool are the newly incorporated 'Auto Boxed Range Detector' and the 'Bull Bear Tug of War' detector. The Auto Boxed Range Detector is at the core of this update, illuminating price ranges to give you the upper hand in detecting breakouts or breakdowns. This feature has been designed meticulously to automate the identification of trading ranges, thereby increasing the accuracy and speed of your decision-making process. Also, this helps avoiding fake breakouts. If the top of the boxed range is near resistance line it is less likely to breakout unless we are on a trend day.
Simultaneously, the Bull Bear Tug of War detector (the little red and green triangles at the bottom) introduces an entirely new dimension of market dominance visualization. This detector embodies market power struggles through vivid red and green triangles, supplemented by translucent colors for transitional periods or potential false-outs. It's a dynamic, real-time pictorial representation of the ceaseless tug of war between bulls and bears captured by a combination of RSI, CCI, MACD, STOCHASTIC, AND VWAP, enabling you to anticipate market swings better. You can change the position of the triangles in the setting and move the red ones to top and keep the green ones in the bottom.
Customization options are plentiful, including the ability to tweak the EMA and ATR lengths, with default values set at 20 and 14 respectively. Additionally, you can modify the ATR multiplier in the S/R length setting, defaulted at 2, and the line width for optimal visibility. The EMA line can be made visible in the settings, while support and resistance lines are color-coded in green and red for instant recognition.
When prices make contact with these levels, the tool generates visual cues in the form of crosses above or below the price bars, thus serving as potential take profit or entry/exit points. Should you prefer, take profit signals can be deactivated in the settings.
To leverage this tool to its maximum potential:
- Fine-tune the EMA and ATR lengths to resonate with your trading strategy. Longer lengths yield smoother lines but may trail current prices.
- Determine the S/R length to govern the spacing of support and resistance lines from the EMA line.
- Stay alert for crosses above or below the price bar, signaling when prices have met support or resistance levels. These are key indicators for potential take profit or entry/exit decisions.
- For best results, this tool should be used in conjunction with other indicators to corroborate signals and minimize false alerts. The ultimate aim is to utilize other indicators to initiate a trade and rely on this tool to provide timely take profit reminders.
Bear in mind, this tool should not be the sole determinant in your investment decisions. Comprehensive research and a multifaceted approach are indispensable when contemplating any trades.
Stochastic RSI+ by MartialChartsFXThe original Stochastic RSI was built to generate more signals than either of the ordinary RSI or Stochastic Oscillator.
This Stochastic RSI+ is a customized Stochastic RSI meant to be less obtrusive as a lower indicator with several added components for improved utility.
The Stochastic RSI+ has 3 components:
1. The Single line color changing Stochastic RSI (%K line)
2. Divergence detection using one of three oscillators (RSI, Stochastic, or the default Stochastic RSI). Divergence may be detected in Strict or Non-Strict modes.
3. Strength indicator
Single Line Stochastic RSI (%K)
To make manual detection of divergence easier, I decided to reduce the Stochastic RSI down to just the %K line. In order to see how the %K line interacts with the %D line without having the extra line as a distraction, the %K line has been coded to change colors based on its relation to the %D line.
The Stochastic %K is green when %K is greater than %D
The Stochastic %K is red when %K is less than %D
The oversold region is 0-20 and highlighted in a light green on the scale.
The overbought region is 80-100 and highlighted in light red on the scale.
Divergence Detection
The optional divergence detection settings include the selection of 3 oscillators: RSI, Stochastic, or Stochastic RSI (default). Regardless of which oscillator is selected for divergence detection the indicator will only show the Stochastic RSI's %K line. This gives the trader the change to see if divergence is present on multiple oscillators. The divergence detection does not draw trendlines on the chart or the lower indicator, instead it plots an H (for Hidden Divergence) or a D (for Divergence) in green (bullish) or red (bearish) where the 2nd point of divergence is located based on the oscillator used and whether the detection is set to strict or not. This programming will not capture every instance of divergence. You should still manually verify any divergence indicated.
Strict Divergence enabled is the traditional method of divergence detection where swing points on the price charts align with peaks and valleys on the oscillator. Where there are not matching peaks and valleys on both price and the oscillator, divergence is not detected.
Strict Divergence disabled is an alternate divergence detection by connecting swing points on the price chart and then checking to see what the corresponding oscillator values are regardless of if it is a peak or valley on the oscillator. To draw this method manually would be drawing the oscillator trendline through the %K line to connect which ever points on Stochastic RSI line up with the swing points on the price chart. This will find more divergence than would ordinarily be overlooked.
Asset Strength
The Strength indicator is the 2nd set of numbers on the indicator information line. Values above 0 are bullish, Values below 0 are bearish. Strength is measured by comparing fast and slow RSI calculations to gauge a rate of change towards bullish or bearish.
Strength color changes:
Dark green to light green = asset is bullish but getting weaker
Light green to dark green = asset is bullish and getting stronger
Red to pink = asset is bearish but getting stronger
Pink to Red = asset is bearish and getting weaker
Usage
Can be used in all asset classes. This is a Stochastic RSI oscillator so the same Stochastic RSI usage rules apply.
The ways that I use Stochastic RSI+:
1. To gauge if a zone is likely to hold or be broken.
- Buying zones have better confluence when Stochastic RSI+ is very oversold (0-5) and have bullish divergence.
- Selling zone have better confluence when Stochastic RSI+ is very overbought (95-100) and have bearish divergence.
2. For divergence to time entries and to identify continuations, retracements, reversals, and stop hunts.
3. For strength to see if the asset is getting stronger or weaker when price reaches a zone.
GKD-C RSX VDI w/ Floating Levels [Loxx]Giga Kaleidoscope GKD-C RSX VDI w/ Floating Levels is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ GKD-C RSX VDI w/ Floating Levels
What is the VDI (Volatility Direction Index)?
The Volatility Direction Index Index (VDI) is a technical analysis indicator developed by Loxx. It is designed to help traders and investors identify potential trend reversals, confirm existing trends, and recognize overbought or oversold market conditions. VDI is a momentum oscillator that measures the volatility and price direction of an asset over a specified period.
Here's a step-by-step breakdown of how to calculate VDI:
Choose a period (n) over which to calculate the VDI, typically 8 or 10.
Calculate the true range for each day:
True Range = max
Calculate the directional bias for each day:
If (Today's High - Previous Close) > (Previous Close - Today's Low), the directional bias is positive.
If (Today's High - Previous Close) < (Previous Close - Today's Low), the directional bias is negative.
Calculate the VDI for each day with a positive directional bias:
VDI Positive = * 100
Calculate the VDI for each day with a negative directional bias:
VDI Negative = * 100
Calculate the n-day sum of positive VDI values (Sum_Positive_VDI) and the n-day sum of negative VDI values (Sum_Negative_VDI).
Calculate the final Volatility Direction Index Index value:
VDI = (Sum_Positive_VDI - Sum_Negative_VDI) / (Sum_Positive_VDI + Sum_Negative_VDI) * 100
This VDI value can then be plotted on a chart over time to help traders and investors visualize the momentum and volatility of the asset's price.
VDI oscillates between -100 and +100. Positive VDI values indicate bullishness, while negative VDI values suggest bearishness. Values near the extremes (+100 or -100) can be considered overbought or oversold, potentially signaling a trend reversal. Traders often use additional technical analysis tools and techniques to confirm signals generated by the VDI.
What is the RSX?
The Jurik RSX is a technical indicator developed by Mark Jurik to measure the momentum and strength of price movements in financial markets, such as stocks, commodities, and currencies. It is an advanced version of the traditional Relative Strength Index (RSI), designed to offer smoother and less lagging signals compared to the standard RSI.
The main advantage of the Jurik RSX is that it provides more accurate and timely signals for traders and analysts, thanks to its improved calculation methods that reduce noise and lag in the indicator's output. This enables better decision-making when analyzing market trends and potential trading opportunities.
What is RSX VDI w/ Confidence Bands
This indicator calculates the RSX VDI and then wraps that calculation with uppper and lower floating levels, similar to Donchian channels. There are three types of signals: Levels cross, dynamic middle cross, and signal cross.
Additional Features
This indicator allows you to select from 33 source types. They are as follows:
Close
Open
High
Low
Median
Typical
Weighted
Average
Average Median Body
Trend Biased
Trend Biased (Extreme)
HA Close
HA Open
HA High
HA Low
HA Median
HA Typical
HA Weighted
HA Average
HA Average Median Body
HA Trend Biased
HA Trend Biased (Extreme)
HAB Close
HAB Open
HAB High
HAB Low
HAB Median
HAB Typical
HAB Weighted
HAB Average
HAB Average Median Body
HAB Trend Biased
HAB Trend Biased (Extreme)
What are Heiken Ashi "better" candles?
Heiken Ashi "better" candles are a modified version of the standard Heiken Ashi candles, which are a popular charting technique used in technical analysis. Heiken Ashi candles help traders identify trends and potential reversal points by smoothing out price data and reducing market noise. The "better formula" was proposed by Sebastian Schmidt in an article published by BNP Paribas in Warrants & Zertifikate, a German magazine, in August 2004. The aim of this formula is to further improve the smoothing of the Heiken Ashi chart and enhance its effectiveness in identifying trends and reversals.
Standard Heiken Ashi candles are calculated using the following formulas:
Heiken Ashi Close = (Open + High + Low + Close) / 4
Heiken Ashi Open = (Previous Heiken Ashi Open + Previous Heiken Ashi Close) / 2
Heiken Ashi High = Max (High, Heiken Ashi Open, Heiken Ashi Close)
Heiken Ashi Low = Min (Low, Heiken Ashi Open, Heiken Ashi Close)
The "better formula" modifies the standard Heiken Ashi calculation by incorporating additional smoothing, which can help reduce noise and make it easier to identify trends and reversals. The modified formulas for Heiken Ashi "better" candles are as follows:
Better Heiken Ashi Close = (Open + High + Low + Close) / 4
Better Heiken Ashi Open = (Previous Better Heiken Ashi Open + Previous Better Heiken Ashi Close) / 2
Better Heiken Ashi High = Max (High, Better Heiken Ashi Open, Better Heiken Ashi Close)
Better Heiken Ashi Low = Min (Low, Better Heiken Ashi Open, Better Heiken Ashi Close)
Smoothing Factor = 2 / (N + 1), where N is the chosen period for smoothing
Smoothed Better Heiken Ashi Open = (Better Heiken Ashi Open * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Open * (1 - Smoothing Factor))
Smoothed Better Heiken Ashi Close = (Better Heiken Ashi Close * Smoothing Factor) + (Previous Smoothed Better Heiken Ashi Close * (1 - Smoothing Factor))
The smoothed Better Heiken Ashi Open and Close values are then used to calculate the smoothed Better Heiken Ashi High and Low values, resulting in "better" candles that provide a clearer representation of the market trend and potential reversal points.
It's important to note that, like any other technical analysis tool, Heiken Ashi "better" candles are not foolproof and should be used in conjunction with other indicators and analysis techniques to make well-informed trading decisions.
Heiken Ashi "better" candles, as mentioned previously, provide a clearer representation of market trends and potential reversal points by reducing noise and smoothing out price data. When using these candles in conjunction with other technical analysis tools and indicators, traders can gain valuable insights into market behavior and make more informed decisions.
To effectively use Heiken Ashi "better" candles in your trading strategy, consider the following tips:
Trend Identification: Heiken Ashi "better" candles can help you identify the prevailing trend in the market. When the majority of the candles are green (or another color, depending on your chart settings) and there are no or few lower wicks, it may indicate a strong uptrend. Conversely, when the majority of the candles are red (or another color) and there are no or few upper wicks, it may signal a strong downtrend.
Trend Reversals: Look for potential trend reversals when a change in the color of the candles occurs, especially when accompanied by longer wicks. For example, if a green candle with a long lower wick is followed by a red candle, it could indicate a bearish reversal. Similarly, a red candle with a long upper wick followed by a green candle may suggest a bullish reversal.
Support and Resistance: You can use Heiken Ashi "better" candles to identify potential support and resistance levels. When the candles are consistently moving in one direction and then suddenly change color with longer wicks, it could indicate the presence of a support or resistance level.
Stop-Loss and Take-Profit: Using Heiken Ashi "better" candles can help you manage risk by determining optimal stop-loss and take-profit levels. For instance, you can place your stop-loss below the low of the most recent green candle in an uptrend or above the high of the most recent red candle in a downtrend.
Confirming Signals: Heiken Ashi "better" candles should be used in conjunction with other technical indicators, such as moving averages, oscillators, or chart patterns, to confirm signals and improve the accuracy of your analysis.
In this implementation, you have the choice of AMA, KAMA, or T3 smoothing. These are as follows:
Kaufman Adaptive Moving Average (KAMA)
The Kaufman Adaptive Moving Average (KAMA) is a type of adaptive moving average used in technical analysis to smooth out price fluctuations and identify trends. The KAMA adjusts its smoothing factor based on the market's volatility, making it more responsive in volatile markets and smoother in calm markets. The KAMA is calculated using three different efficiency ratios that determine the appropriate smoothing factor for the current market conditions. These ratios are based on the noise level of the market, the speed at which the market is moving, and the length of the moving average. The KAMA is a popular choice among traders who prefer to use adaptive indicators to identify trends and potential reversals.
Adaptive Moving Average
The Adaptive Moving Average (AMA) is a type of moving average that adjusts its sensitivity to price movements based on market conditions. It uses a ratio between the current price and the highest and lowest prices over a certain lookback period to determine its level of smoothing. The AMA can help reduce lag and increase responsiveness to changes in trend direction, making it useful for traders who want to follow trends while avoiding false signals. The AMA is calculated by multiplying a smoothing constant with the difference between the current price and the previous AMA value, then adding the result to the previous AMA value.
T3
The T3 moving average is a type of technical indicator used in financial analysis to identify trends in price movements. It is similar to the Exponential Moving Average (EMA) and the Double Exponential Moving Average (DEMA), but uses a different smoothing algorithm.
The T3 moving average is calculated using a series of exponential moving averages that are designed to filter out noise and smooth the data. The resulting smoothed data is then weighted with a non-linear function to produce a final output that is more responsive to changes in trend direction.
The T3 moving average can be customized by adjusting the length of the moving average, as well as the weighting function used to smooth the data. It is commonly used in conjunction with other technical indicators as part of a larger trading strategy.
█ Giga Kaleidoscope Modularized Trading System
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: RSX VDI w/ Floating Levels as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
1-Candle Rule Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Volatility/Volume agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
2. GKD-C Confirmation 1 agrees
3. GKD-C Confirmation 2 agrees
4. GKD-V Volatility/Volume Agrees
]█ Setting up the GKD
The GKD system involves chaining indicators together. These are the steps to set this up.
Use a GKD-C indicator alone on a chart
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
Use a GKD-V indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Use a GKD-B indicator alone on a chart
**nothing, it's already useable on the chart without any settings changes
Baseline (Baseline, Backtest)
1. Import the GKD-B Baseline into the GKD-BT Backtest: "Input into Volatility/Volume or Backtest (Baseline testing)"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline"
Volatility/Volume (Volatility/Volume, Backte st)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Solo"
2. Inside the GKD-V indicator, change the "Signal Type" setting to "Crossing" (neither traditional nor both can be backtested)
3. Import the GKD-V indicator into the GKD-BT Backtest: "Input into C1 or Backtest"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Volatility/Volume"
5. Inside the GKD-BT Backtest, a) change the setting "Backtest Type" to "Trading" if using a directional GKD-V indicator; or, b) change the setting "Backtest Type" to "Full" if using a directional or non-directional GKD-V indicator (non-directional GKD-V can only test Longs and Shorts separately)
6. If "Backtest Type" is set to "Full": Inside the GKD-BT Backtest, change the setting "Backtest Side" to "Long" or "Short
7. If "Backtest Type" is set to "Full": To allow the system to open multiple orders at one time so you test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Solo Confirmation Simple (Confirmation, Backtest)
1. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Simple"
1. Import the GKD-C indicator into the GKD-BT Backtest: "Input into Backtest"
2. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Solo Confirmation Simple"
Solo Confirmation Complex without Exits (Baseline, Volatility/Volume, Confirmation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
6. Import the GKD-C into the GKD-BT Backtest: "Input into Exit or Backtest"
Solo Confirmation Complex with Exits (Baseline, Volatility/Volume, Confirmation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C indicator, change the "Confirmation Type" setting to "Solo Confirmation Complex"
4. Import the GKD-V indicator into the GKD-C indicator: "Input into C1 or Backtest"
5. Import the GKD-C indicator into the GKD-E indicator: "Input into Exit"
6. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
7. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Full GKD without Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full wo/ Exits"
9. Import the GKD-E into the GKD-BT Backtest: "Input into Exit or Backtest"
Full GKD with Exits (Baseline, Volatility/Volume, Confirmation 1, Confirmation 2, Continuation, Exit, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Chained"
2. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
3. Inside the GKD-C 1 indicator, change the "Confirmation Type" setting to "Confirmation 1"
4. Import the GKD-V indicator into the GKD-C 1 indicator: "Input into C1 or Backtest"
5. Inside the GKD-C 2 indicator, change the "Confirmation Type" setting to "Confirmation 2"
6. Import the GKD-C 1 indicator into the GKD-C 2 indicator: "Input into C2"
7. Inside the GKD-C Continuation indicator, change the "Confirmation Type" setting to "Continuation"
8. Import the GKD-C Continuation indicator into the GKD-E indicator: "Input into Exit"
9. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "GKD Full w/ Exits"
10. Import the GKD-E into the GKD-BT Backtest: "Input into Backtest"
Baseline + Volatility/Volume (Baseline, Volatility/Volume, Backtest)
1. Inside the GKD-V indicator, change the "Testing Type" setting to "Baseline + Volatility/Volume"
2. Inside the GKD-V indicator, make sure the "Signal Type" setting is set to "Traditional"
3. Import the GKD-B Baseline into the GKD-V indicator: "Input into Volatility/Volume or Backtest (Baseline testing)"
4. Inside the GKD-BT Backtest, change the setting "Backtest Special" to "Baseline + Volatility/Volume"
5. Import the GKD-V into the GKD-BT Backtest: "Input into C1 or Backtest"
6. Inside the GKD-BT Backtest, change the setting "Backtest Type" to "Full". For this backtest, you must test Longs and Shorts separately
7. To allow the system to open multiple orders at one time so you can test all Longs or Shorts, open the GKD-BT Backtest, click the tab "Properties" and then insert a value of something like 10 orders into the "Pyramiding" settings. This will allow 10 orders to be opened at one time which should be enough to catch all possible Longs or Shorts.
Requirements
Inputs
Confirmation 1: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Solo Confirmation Simple: GKD-B Baseline
Solo Confirmation Complex: GKD-V Volatility / Volume indicator
Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator
Stacked 1: None
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1
Outputs
Confirmation 1: GKD-C Confirmation 2 indicator
Confirmation 2: GKD-C Continuation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest
Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator
Solo Confirmation Super Complex: GKD-C Continuation indicator
Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest
Additional features will be added in future releases.
GKD-C Variety Filters w/ Dynamic Zones [Loxx]Giga Kaleidoscope GKD-C Variety Filters w/ Dynamic Zones is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Variety Filters w/ Dynamic Zones as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
1-Candle Rule Volatility/Volume Entry
1. GKD-V Volatility/Volume signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close)
2. GKD-B Volatility/Volume agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-B Baseline agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
2. GKD-C Confirmation 1 agrees
3. GKD-C Confirmation 2 agrees
4. GKD-V Volatility/Volume Agrees
█ GKD-C Variety Filters w/ Dynamic Zones
What are Dynamic Zones?
As explained in "Stocks & Commodities V15:7 (306-310): Dynamic Zones by Leo Zamansky, Ph .D., and David Stendahl"
Most indicators use a fixed zone for buy and sell signals. Here’ s a concept based on zones that are responsive to past levels of the indicator.
One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading levels. However, these oscillator- driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.
Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system’s mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market — bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.
An indicator’s extreme levels can be quantified using statistical methods. These extreme levels are calculated for a certain period and serve as the buy and sell zones for a trading system. The repetition of this statistical process for every value of the indicator creates values that become the dynamic zones. The zones are calculated in such a way that the probability of the indicator value rising above, or falling below, the dynamic zones is equal to a given probability input set by the trader.
To better understand dynamic zones, let's first describe them mathematically and then explain their use. The dynamic zones definition:
Find V such that:
For dynamic zone buy: P{X <= V}=P1
For dynamic zone sell: P{X >= V}=P2
where P1 and P2 are the probabilities set by the trader, X is the value of the indicator for the selected period and V represents the value of the dynamic zone.
The probability input P1 and P2 can be adjusted by the trader to encompass as much or as little data as the trader would like. The smaller the probability, the fewer data values above and below the dynamic zones. This translates into a wider range between the buy and sell zones. If a 10% probability is used for P1 and P2, only those data values that make up the top 10% and bottom 10% for an indicator are used in the construction of the zones. Of the values, 80% will fall between the two extreme levels. Because dynamic zone levels are penetrated so infrequently, when this happens, traders know that the market has truly moved into overbought or oversold territory.
Calculating the Dynamic Zones
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
For i=1, to the last lookback period, build the distribution f(x) of the price during the lookback period i. Then find the value Vi1 such that the probability of the price less than or equal to Vi1 during the lookback period i is equal to Pbuy. Find the value Vi2 such that the probability of the price greater or equal to Vi2 during the lookback period i is equal to Psell. The sequence of Vi1 for all periods gives the buy zone. The sequence of Vi2 for all periods gives the sell zone.
In the algorithm description, we have: Build the distribution f(x) of the price during the lookback period i. The distribution here is empirical namely, how many times a given value of x appeared during the lookback period. The problem is to find such x that the probability of a price being greater or equal to x will be equal to a probability selected by the user. Probability is the area under the distribution curve. The task is to find such value of x that the area under the distribution curve to the right of x will be equal to the probability selected by the user. That x is the dynamic zone.
What is Variety Filters w/ Dynamic Zones?
This indicator first smooths price with one of 65+ moving averages and then injects that output into the Dynamic Zones algorithm to create levels of significances. These levels are used to generate trading signals.
Requirements
Inputs
Confirmation 1: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Solo Confirmation Simple: GKD-B Baseline
Solo Confirmation Complex: GKD-V Volatility / Volume indicator
Solo Confirmation Super Complex: GKD-V Volatility / Volume indicator
Stacked 1: None
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 1
Outputs
Confirmation 1: GKD-C Confirmation 2 indicator
Confirmation 2: GKD-C Continuation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest
Solo Confirmation Complex: GKD-BT Backtest or GKD-E Exit indicator
Solo Confirmation Super Complex: GKD-C Continuation indicator
Stacked 1: GKD-C, GKD-V, or GKD-B Stacked 2+
Stacked 2+: GKD-C, GKD-V, or GKD-B Stacked 2+ or GKD-BT Backtest
Additional features will be added in future releases.
Candle Combo ScreenerThe Candle Combo Screener allows you to see candlestick combinations for up to 5 different tickers at the same time . If one of the candle combination is detected the corresponding cell will be highlighted to alert you.
Candle Combinations Detected
Bullish Kicker
Bullish & Bearish Oops Reversals
Open Equals High / Low
Inside Day
Select any 5 tickers. Colors and table settings are fully customizable to fit your style.
Bullish Kicker
The opening price of the current candle gaps up above the body of the prior day's candle AND the prior day's candle close was less than the open.
Oops Reversals
Bullish: Price opens below the prior day’s low and closes above.
Bearish: Price opens above the prior day's high and closes below.
Open Equals High / Low
The current candles opening price is equal to either the high or low of the day.
Inside Day
The current candles high and low are contained within the prior day's high and low.
Algohub (Nephew_Sam_)(republished as previous version did not meet Tradingview house rules)
This indicator marks out majority Algohub concepts - which will help your system become fully mechanical if it isn't already.
Here are all of the concepts and features included in the indicator:
Timeframe
- You can select the timeframe of the indicator (has to be higher or equal to the chart timeframe)
- Min option is the minimum timeframe to show the indicator. If you show daily structure on 1m chart, you can run into a timeout error so keep it close to the chart timeframe.
Structure
The structure is calculated using a combination of candle patterns (ie. pivot top = Bullish x3-Bearish-Bullish) and pivot points (from strength 1 to 3) and marks out circle labels after a new HH or LL
ILQ - Inducement Liquidity concept
In a bearish example this is the most recent structure high.
TLQ
In a bearish example this is the second most recent structure high.
This is also what helps define our structure direction. If broken, the structure changes (bullish / bearish) and plots a bos line.
EPA - Efficient price action
When price returns back to previous structure point after bos. Similar to an ICT breaker.
Note: It might be a little, just a little buggy if you have set your indicator timeframe to higher than the chart timeframe.
Extremes Zones
The final zone to find a trade entry before a structural shift. These are wick of the TLQ candle. This is select the wick of the current timeframe candle even if indicator is set to higher timeframe.
MSU
Tiny arrow labels at the bottom of your chart. Plots the arrows when price is between an ILQ and TLQ
VTA
Valid trading range. This is when we get some sort of a structure pattern. Plots a box when price induces previous structure point and then breaks structure in the opposite direction. Here are the patterns:
Bull VTA - HH-LL-HH
Bear VTA - LL-HH-LL
Bull Strict VTA - LL-HH-LL-HH
Bear Strict VTA - HH-LL-HH-LL
Bar colors
Changes the bar color based on the structure to all green/red.
Note: for this to work, you will have to right click on the indicator, then under visual order select 'bring to front'
Table
This table plots the structure stats/data
1. If structure is bullish / bearish
2. If price is efficient or not
3. If there is an MSU
4. If price is inside a VTA
Diddly - Real Volume TrendDiddly Real Volume Trend is an indicator to help traders identify the real trending direction of an asset, it achieves this by using liquidity to assess the overall buying and selling volume sentiment of a market place.
What is Liquidity
Liquidity refers to the ability of an asset to be turned into cash. Cash is the more liquid form of any asset, whereas selling a house would take a little longer to liquidate and convert to cash. Liquidity in financial markets is in essence based on the same principle and refers to how easily an asset can be bought and sold.
Liquidity in simple terms is the volume of participants who are willing to be involved in the market at any given time. Markets are based on auction theory, the more participants who want to buy at a certain price than sell, will dictate that the price goes up. As a result it is important to understand the role that volume has in financial markets, as volume will directly correlate to liquidity and supply and demand.
What does it mean?
Although markets are based on auction theory, sadly we don't have the advantage of a traditional auction, where we are all sitting in a room putting our hands in the air when we are interested in paying x price for a particular item. In this environment it is very clear to see how popular the item for sale is and whether it is possible to pick up a bargain.
Being able to identify the prevailing direction of buying versus selling volume on a chart provides an insight into market sentiment. Also we have to consider that typically most retail traders participate in very liquid markets, where you can get in and out of a position with relative ease.
There are obviously exceptions, extremely low float stocks, but on the whole with liquid assets it takes some big orders to move price, especially with currencies and high float stocks. Understanding these principles helps us as retail traders identify where the big money is seeing a bargain, if buying or overpriced if selling.
However you identify liquidity, I hope you agree that it is an extremely important element to be considering before taking a trade. The last thing any trader wants to be doing if they can avoid it, is getting on the wrong side of the market.
Just as a side note, high and low "Float Stocks" refers to the number of shares in general circulation for buying and selling.
What is "Diddly Real Volume Trend"
This volume trend indicator in simple terms will display the combined accumulated bullish and bearish volume within a window below the main chart. What you will see is a line chart that will be doing one of three things. Either it could be stair stepping in an upwards direction, identifying that we are in a bullish trend or stepping down in a bearish trend. Alternatively it could just be going sideways, which would suggest a ranging market.
This enables traders to make an assessment of the market sentiment using the liquidity direction that it has identified. This can help form an overall daily bias for intra-day traders or help confirm a longer term trend for swing traders.
Although this indicator is not a true oscillator (where the limits of number are fixed between a known upper and lower limit) , it can still be extremely useful in identifying divergence in price and the volume sentiment. As well as assisting in the process of identifying and confirming peak formations and potential reversal points in a market.
How does it Work
The indicator is plotting the volume trend line based on the output of a set of volume calculations, which is confirmed on the close of each candle. The resultant output is either a positive (Bullish sentiment) or negative (Bearish Sentiment), which are all totalled up to show the next point on the graph. As a result the visual effect seen from this process is that the more bullish calculated volume identified than bearish, you will see a rising trend line and the reverse for a bearish market.
The algo calculation which is used on each candle and its related volume is using the following elements.
Volume
Rate of Change
Relative Strength
The indicator is not just looking at the volume total and saying this is a green candle and must provide a positive number. It is looking for the volume and liquidity extremes and filtering out the nothingness of a market that makes no difference to price either way. It is from using these extremes that the indicator is able to plot the activities and direction of the big money in the market.
What is the Indicator Showing me?
Examples:
Here on a stock VKTX, on a 1 minute chart the elements that make up the indicator are annotated on the chart.
There are 6 components highlighted in the above chart, these have been listed below.
Volume Trend Line
This is the indicator driving line and is the result of the calculations described in the previous section.
Fast Moving Average
This is the fast moving average of the "Volume Trend Line". The moving average type and length can be changed in the settings.
(Default = Exponential Moving Average, Length: 60)
Slow Moving Average
This is a slower moving average of the "Volume Trend Line". The moving average type and length can be changed in the settings.
(Default = Hull Moving Average, Length: 3500)
Long Term Moving Average
This is a long term moving average of the "Volume Trend Line". The moving average type and length can be changed in the settings.
(Default = Exponential Moving Average, Length: 400)
Bullish Confirmation
On the "Volume Trend Line", you will see coloured circles dotted along the line, the green circles signifying Bullish Confirmation.
Bearish Confirmation
On the "Volume Trend Line", you will see coloured circles dotted along the line, the red circles signifying Bearish Confirmation.
The Bullish and Bearish confirmation signals are not signals to take trades, they are there to highlight the predominant direction. Seeing one confirmation signal in isolation is not that helpful, but continued prints of confirmation in a single direction would be interesting.
There are a further two signal types that are displayed on the volume trend line, these should be seen infrequently across charts and represent potential extremes of price movement in a single direction. These signals act as a warning that price could stall in this area or potentially make a reversal. As with the other signals within this indicator they are not signals to buy or sell, they are there to provide warning alerts and should be considered with other pieces of information that you are working with.
Bullish Extreme
Plotted on the "Volume Trend Line", you will occasionally see a green coloured downwardly pointing triangle, this represents a Bullish Extreme.
GBPAUD Hourly chart October 2022
Bearish Extreme
Plotted on the "Volume Trend Line", you will occasionally see a red coloured upward pointing triangle, this represents a Bearish Extreme.
GBPAUD Daily chart (February - April) 2023
How Does It Help?
This indicator will compliment any existing strategy and is not intended to be used standalone.
It can be used on any chart from a monthly, one minute to one second, depending on your trading strategy. Using multiple time frame analysis can help traders with a number of decisions that need to be considered before taking entries.
What is my market direction bias?
This can be taken from an hourly for intraday trader or daily for swing traders. What that time frame is depends on your trading plan and objectives from the trades you take.
When do I take my trades?
Again depending on the trading strategy used will dictate many aspect of this decision, although using the volume trend on a lower time frame, can help confirm breakouts, reversals and divergence.
How should I manage my trade?
With any trade you should have a defined risk reward clearly defined, with stops and targets in mind before taking an entry.
The age old saying of "cut your losses quickly and let your winner run", is easier said than mastered. Once in a trade the volume trend can be really helpful to identify trades that could be real runners and allows you to change expectations after entering the trade. Maybe you want to take some profit at the original point and let the remaining run. Maybe there is such strength you want to add to the position. Being able to assess market sentiment once in a trade can help with optimising returns.
The "Volume Trend Line", which is the driving element of this indicator, will be doing one of three things. Either it could be stair stepping in an upwards direction, identifying that we are in a bullish trend, stepping down in a bearish trend or going sideways in a ranging market.
Bullish Volume Trending Market
Here is stock VKTX, on a 1 minute chart. Trend confirmation on price action is determined by Higher Highs and Higher Lows for an uptrend or Lower Lows and Lower Highs on a downtrend. The same principle applies for the volume trend line.
In this example we first see breakout volume on the indicator with the Bullish Break volume, following that the volume trend keeps making higher highs and higher lows, confirming that this asset has short-term upwards potential. (why short-term? this is the 1 minute chart, you would want to consult the daily or hourly for a longer term perspective).
Price also is making higher highs and higher lows, which is in alignment with the indicator and known as "convergence" and is a positive signal for a continued trend.
Bearish Market
So here on Tesla (TSLA) on the 4 hour chart we can see the big sell off that started in April 2022. Where it clearly shows a downward trend, with lots of confirmation for continuation.
Ranging Markets
On this example on the AUDJPY 1 Hour chart, we can see that price is in a ranging market. By drawing trend lines on price and the indicator, it is clear to see that price and the volume trend line are both showing a ranging market. What is more interesting is the structure of the ranges.
The price range at the top of the chart is in an upward direction, whereas the volume trend in the bottom window is showing a downward range. Giving us an early indication of what to expect from this asset.
Diverging Markets
"Divergence" is a very powerful mechanism for identifying potential reversal points in price actions. There is a wealth of published information on this topic which is well worth reviewing, if this is a new principle to you.
Here again on the same AUDJPY 1 Hour chart example, points of interest have been annotated on the chart where the historical range turns into a step down to the next level within the market cycle, as predicted by the divergence in range patterns, price point up and volume pointing down.
In the above example, after identifying the divergence the next most important element is an extremely fast accelerated move down which breaks the lower level of the range, this can be seen on the right side of the bottom window and is labelled "Bearish Breaking Volume".
What is interesting here is that the volume indicator has identified the range breakout when price was still above the lower level of the range. Following that break out volume signal, if we zoom out to a 4 hour chart to see what happened next.
The range breakout was confirmed and price and the volume trend continues to show a downward direction in the market. As for entries and stops that is not the intention of this indicator and will be down to other elements in your trading strategy or in our case other indicators.
Peak Formations
Peak formation refers to the point where an asset is over extended in one direction and there is a potential of change in direction, with a wider pullback or a reversal in the higher time frame trend. These formations are often seen with double bottoms (W patterns) or double tops (M patterns) . Unfortunately these patterns appear all over the chart and trading them in isolation will be challenging.
In this example of EURJPY on the 1 hour chart, we see price and the indicator in the bottom window for the first 3 weeks in March 2022. The pair is trending down which is confirmed by both price and the indicator. There are no signals points plotted on the volume trend line, until one appears on March 4th 2022.
Another one appeared on the next trading day of Monday the 7th and we now have these two signals relatively close to each other. This is interesting information, especially considering that there was no extreme signals for the previous couple of months.
Later that day the volume trend broke the previous volume level, after a W pattern was completed and a green bullish confirmation signal was printed. The following day another bullish confirmation signal is displayed to further confirm that we had made a peak formation reversal.
Please note that using the settings style tab, has enabled the change to the bearish extremes signal, changing the colour and shape to be an orange circle. Which for the purposes of this illustration is easier to see.
Another example of the same pair in August 2022, with a very similar confirmation sequence.
Stock Examples
Here on UBER on a 1 hour chart , is an example of how the indicator can be used in confluence with other trading strategies. If a trader was trading candle patterns, they may see this classic 1 hour bull flag pattern forming.
Without the volume trend analysis this looks like a good buy setup. Adding this analysis to the chart we clearly have a different view point.
Here is what subsequently happened to price and this is in a generally bullish market March 2023.
Scalping Entries
For those traders who work with super fast time frames like the 5 second or even on a 1 second charts, the volume indicator can be used to help time entries as a part of a wider trading strategy of trading a pullback or trading support and resistance levels.
Styling options in the indicator settings enabled this different view of the indicator output, which can be extremely useful for timing entries.
Here on this hot IPO stock, LUNR from February 16th 2023, we have an extremely strong move up from $13.80 to $18.00. One aspect of this move up, is that it is doing this on extremely light volume and the predominant market sentiment on the surface seems very bearish.
This would be a clear indication not to trade this stock at this moment in time, as a trader there would be lots of emotions of FOMO (fear of missing out) , seeing a stock making that kind off move on a new IPO - there is the sense that this stock will go to the moon and your not going to be involved.
As traders we have to consider the risk : reward potential. This stock could drop to $10.00 if someone put in a 50 k market sell order, as it is clear there are not the buyers to support that kind of liquidation.
The following charts are in the 5 second time frame, until otherwise stated
So we need to wait for some confirmation of buying liquidity before we can make any plans for taking an entry, which we get in the form of a couple of strong bullish candles on the chart below. Interestingly the price breaks the previous all time high for this stock, although the volume trend at this stage does not seem strong enough to consider an entry.
At this point we should be on the lookout for further buying liquidity, ideally to break the previous high volume line, which appears in the next chart. This would be the time to take an entry based on other aspects of a trading plan.
Having now taken an entry, we can use the indicator to understand the strength of the buying liquidity and identify areas where we should be looking to take profit or close out the trade. Looking at the volume trend profile shown in the chart below, there is no reason not to hold this stock for a wider move up.
In the next chart we see the first signs of some selling pressure, as the indicator shows signs of red. This would be the area to take some profit and look at a higher time frame perspective, to get the sense of whether to hold the remaining position.
Here on the 5 minute time frame the volume trend is still looking very strong to hold the remaining position. As it turned out it was a good place to take profit as it was just under the high of the day.
Knowing when an asset is going to reverse is not easy and this stock was way too over extended and a top had to finally come. This one minute view of the indicator, shows the point where you would see that the upward liquidity was over and you were now on the backside of the move, with no reason to trade further.
Here on a 15 minute chart you can see the full extent of the move and its reversal back to the original price. It provides a clear illustration that chasing trades through FOMO or holding and hoping is not a profitable approach. Being able to time your entries and exits, where you can clearly manage risk is one of the most important elements to any traders strategy.
This is an extreme example and not something you see every day in any market. It has been included within this narrative with the hope that it clearly illustrates the risk involved in trading and being able to mitigate them, has to be at the forefront of your mind.
Key Settings
Within the indicator settings there are a number of options that are available to users. All aspects of what you can see can either be changed or turned on or off in the "Style" tab as well as changing the colours and their transparency.
The available settings on the "Inputs" tab are for fine tuning the indicator to your style of trading. This fine tuning can be applied to the moving averages that can be displayed and follow the volume trend line as well as the volume filtering process.
The most important ones that are in need of explanation are outline below:
General Settings
"What type of asset is the Algo looking at" : Available Options = "Small Caps", "Large Caps", "Futures", "Currencies" (Default Setting = Currencies)
The indicator will make an assessment of the best settings to use as defaults for the volume filtering, confirmation and extremes signals. The defaults can be changed in the following sections using the override.
"Turn on Turbo Mode" : True or False (Default Settings = True)
This setting will give the indicator volume filtering processes a boost
Signal Settings
Based on the "Asset Type" from the general settings, the indicator will make an assessment of the best settings to use by default. These can be changed by using the settings below.
"Override Default Assessment Thresholds" = True / False
"Percentage Difference to Signify Trend Confirmation" = A percentage value that will tell the indicator how to identify the volume trend line swing points used to identify bullish or bearish confirmation signals. Values from 0.1 to 10 would make the most sense. A too high setting and you will not see any confirmation points plotted. Too low and you may see too many to be useful.
"Percentage Difference to Signify Extremes" = A percentage value that will tell the indicator how to identify the volume trend line swing points used to identify bullish or bearish confirmation signals. Values from 20 to 200 would make the most sense. A low a setting and you will see too many extreme points plotted.
Filter Settings
"Turn On Volume Assessment Filters" = True / False : The volume assessment filters are used to focus the "volume trend line" on higher volume extremes.
Based on the "Asset Type" from the general settings, the indicator will make an assessment of the best settings to use by default. These can be changed by using the settings below.
"Override Default Assessment Filters" = True / False
"Filter Volume using Setting" = The number used in this setting represents a value from 0 to 100. Zero will filter out no volume, whereas 100 would filter it all out. The default setting is 1, as there is a danger of setting this number too high and all you will see in the line chart is big steps up and down, with a plateaus in the middle. Which may be useful, although it would not be so helpful in divergence or volume line breaks.
Fast Moving Average
This is the fast moving average of the "Volume Trend Line".
"Moving Average Type" = The type of moving average calculation to be applied.
Default = "EMA"
Available Options: "SMA","EMA" ,"HMA" ,"SMMA (RMA)" ,"WMA" ,"VWMA"
Moving Average Key
SMA : Simple Moving Average
EMA : Exponential Moving Average
HMA : Hull Moving Average
SMMA (RMA) : Exponentially Weighted Moving Average (alpha = 1 / length.)
WMA : Weighted Moving Average
VWMA : Volume Weighted Moving Average
"Moving Average Length" = The number of candles back into the chart used to calculate the Moving Average. (The higher the number, the slower the moving average becomes)
Default Length = 60
"Apply Double Smoothing" = True or False : This is an option to turn on if an extra smoothing effect to the moving average if required.
Slow Moving Average
This is the slow moving average of the "Volume Trend Line".
"Moving Average Type" = The type of moving average calculation to be applied.
Default = "HMA"
Available Options: "SMA","EMA" ,"HMA" ,"SMMA (RMA)" ,"WMA" ,"VWMA"
(See moving average key)
"Moving Average Length" = The number of candles back into the chart used to calculate the Moving Average. (The higher the number, the slower the moving average becomes)
Default Length = 3500
(By default we have a higher number for the slow length compared to the long term length in the next setting. This is because using the Hull Moving Average, is an accelerated moving average that needs higher values to slow it down. If you were to change this to say an EMA, then you would need to change the length to something like 200, to put this slower moving average in context with the others).
Long Term Moving Average
This is a long term moving average of the "Volume Trend Line".
"Moving Average Type" = The type of moving average calculation to be applied.
Default = "EMA"
Available Options: "SMA","EMA" ,"HMA" ,"SMMA (RMA)" ,"WMA" ,"VWMA"
(See moving average key)
"Moving Average Length" = The number of candles back into the chart used to calculate the Moving Average. (The higher the number, the slower the moving average becomes)
Default Length = 400
"Apply Double Smoothing" = True or False : This is an option to turn on if an extra smoothing effect to the moving average if required.
Finally
We greatly appreciate the support and feedback from the Trading View community, and we are dedicated to continuing to improve our indicators with your support.
We want to help you manage risk, and that's why we emphasise that trading is risky and any technology used to support our trading decisions is based on information from the past. We encourage traders to take responsibility for their trading businesses and always prioritise risk management.
Impulse Momentum MACD - Slow and FastImpulse Momentum MACD - Slow and Fast
The Momentum indicator is a technical indicator that measures the speed and strength of the price movement of a financial asset. This indicator is used to identify the underlying strength of a trend and predict potential changes in price direction, when the indicator crosses the zero line, it can signal a change of direction in the price trend.
On the other hand, the MACD is an indicator used to identify the trend and strength of the market and shows the difference between two exponential moving averages ( EMA ) of different periods. The MACD is commonly used to determine the direction of an asset's price trend.
COPOSITION AND USE OF THE INDICATOR
This script is an implementation of the Impulse Momentum MACD indicator with two variations: slow and fast. It uses a combination of the Momentum indicator and the Moving Average Convergence/Divergence (MACD) indicator to identify trend reversals and momentum changes in an asset's price.
The combination of both indicators can help traders identify market entry and exit opportunities. The Impulse Momentum MACD is a Modified MACD, it is formed by filtering the values in a range of Modifiable Moving Averages by calculating their high and low ranges,This indicator has two parts: a slow part and a fast part. The slow part uses input values for the lengths of the moving averages and the length of the signal for the MACD indicator. The fast part uses different input values for the lengths of the moving averages. Also, each part has its own set of line colors and histogram colors for easy visualization.
The script also includes inputs to choose the type of moving average to use (SMA, EMA, etc.), the lookback period, the colors for the histogram lines and bars, and a zero trend line (also known as a horizontal trend line). ).
* Highest performing custom settings for the zero trend line. For Operations of:
- One Minute: Trend Line Time Frame = Five Minutes.
- Three Minutes: Trend Line Time Frame = Fifteen Minutes.
- Five Minutes: Trend Line Time Frame = Thirty Minutes.
- Fifteen Minutes: Trend Line Time Frame = Sixty Minutes.
Rules For Trading
🔹 Bullish:
* The Zero Horizontal Trend Line should be in Green Color.
* The Slow Histogram Bar should be in Green Color.
* The Fast Histogram Bar must be in Blue or Black Color or No Bar Appears.
* The Momentum Line or Momentum Area must be in Green Color.
crosses:
- When the Impulse Momentum MACD Slow line crosses the Impulse Momentum MACD Slow signal line upwards.
- When the Impulse Momentum MACD Fast line crosses the Impulse Momentum MACD Fast signal line upwards.
- Note 1: A Position is Opened when the condition of any of the aforementioned crossovers is met.
- Note 2: If the two aforementioned crossings anticipate the condition of the Zero Horizontal Tendency Line because it is in Red; A position is only opened immediately when the Zero Horizontal Trend line turns Green.
🔹 Bearish:
* The Zero Horizontal Trend Line should be in Red Color.
* The Slow Histogram Bar should be in Red Color.
* The Fast Histogram Bar must be in Blue or Black Color or No Bar Appears.
* The Momentum Line or Momentum Area must be in Red Color.
crosses:
- When the Impulse Momentum MACD Slow line crosses the Impulse Momentum MACD Slow signal line downwards.
- When the Impulse Momentum MACD Fast line crosses the Impulse Momentum MACD Fast signal line downwards.
- Note 1: A Position is Opened when the condition of any of the aforementioned crossovers is met.
- Note 2: If the two aforementioned crossings anticipate the condition of the Zero Horizontal Tendency Line because it is Green, an immediate position is only opened when the Zero Horizontal Tendency line turns Red.
This script can be used in different markets such as forex, indices and cryptocurrencies for analysis and trading. However, it is important to note that no trading strategy is guaranteed to be profitable, and traders should always conduct their own research and risk management.
Hikkake Hunter 2.0This script serves as a successor to a previous script I wrote for identifying Hikkakes nearly two years ago.
The old version has been preserved here:
█ OVERVIEW
This script is a rework of an old script that identified the Hikkake candlestick pattern. While this pattern is not usually considered a part of the standard candlestick patterns set, I found a lot of value when finding a solution to identifying it. A Hikkake pattern is a 3-candle pattern where a middle candle is nested in between the range of the prior candle, and a candle that follows has a higher high and a higher low (bearish setup) or a lower high and a lower low (bullish setup). What makes this pattern unique is the "confirmation" status of the pattern; within 3 candles of this pattern's appearance, there must be a candle that closes above the high (bullish setup) or below the low (bearish setup) of the second candle. Additional flexibility has been added which allows the user to specify the number of candles (up to 5) that the pattern may have to confirm after its appearance.
█ CONCEPTS
This script will cover concepts mainly focusing on candlestick analysis, price analysis (with higher timeframes), and statistical analysis. I believe there is also educational value presented with the use of user-defined-types (UDTs) in accomplishing these concepts that I hope others will find useful.
Candlestick Analysis - Identification and confirmation of the patterns in the deprecated script were clunky and inefficient. While the previous script required the use of 6 candles to perform the confirmations of patterns (restricted solely to identifying patterns that confirmed in 3 candles or less), this script only requires 3 candles to identify and process patterns by utilizing a UDT representing a 'pattern object'. An object representing a pattern will be created when it has been identified, and fields within that object will be set for processing by the functions it is passed to. Pattern objects are held by a var array (values within the array persist between bars) and will be removed from this array once they have been confirmed or non-confirmed.
This is a significant deviation from the previous script's methods, as it prevents unnecessary re-evaluations of the confirmation status of patterns (i.e. Hikkakes confirmed on the first candle will no longer need to be checked for confirmations on the second or third; a pitfall of the deprecated version which required multiple booleans tracking prior confirmation statuses). This deviation is also what provides the flexibility in changing the number of candles that can pass before a pattern is deemed non-confirmed.
As multiple patterns can be confirmed simultaneously, this script uses another UDT representing a linked-list reduction of the pattern object used to process it. This liked-list object will then be used for Price Analysis.
Price Analysis - This script employs the use of a UDT which contains all the returns of confirmed patterns. The user specifies how many candles ahead of the confirmed pattern to calculate its return, as well as where this calculation begins. There are two settings: FROM APPEARANCE and FROM CONFIRMATION (default). Price differences are calculated from the open of the candle immediately following the candle which had confirmed the pattern to the close of the candle X candles ahead (default 10). ( SEE FEATURES )
Because of how Pine functions, this calculation necessitates a lookback on prior candles to identify when a pattern had been confirmed. This is accomplished with the following pseudo-code:
if not na(confirmed linked-list )
for all confirmed in list
GET MATRIX PLACEMENT
offset = FROM CONFIRMATION ? 0 : # of candles to confirm
openAtFind = open
percent return = ((close - openAtFind) / openAtFind) * 100
ADD percent return TO UDT IN MATRIX
All return UDTs are held in a matrix which breaks up these patterns into specific groups covered in the next section.
Higher Timeframes - This script makes a request.security call to a higher timeframe in order to identify a price range which breaks up these patterns into groups based on the 'partition' they had appeared in. The default values for this partitioning will break up the chart into three sections: upper, middle, and lower. The upper section represents the highest 20% of the yearly trading range that an asset has experienced. The lower section represents the trading range within a third (33%) of the yearly low. And the middle section represents the yearly high-low range between these two partitions.
The matrix containing all return UDTs will have these returns split up based on the number of candles required to confirm the pattern as well as the partition the pattern had appeared in. The underlying rationale is that patterns may perform better or worse at different parts of an asset's trading range.
Statistical Analysis - Once a pattern has been confirmed, the matrix containing all return UDTs will be queried to check if a 'returnArray' object has been created for that specific pattern. If not, one will be initialized and a confirmed linked-list object will be created that contains information pertinent to the matrix position of this object.
This matrix contains the returns of both the Bullish and Bearish Hikkake patterns, separated by the number of candles needed to confirm them, and by the partitions they had appeared in. For the standard 3 candles to confirm, this means the matrix will contain 18 elements (dependent on the number of candles allowed for confirmations; its size will range from 12 to 30).
When the required number of candles for Price Analysis passes, a percent return is calculated and added to the returnArray contained in the matrix at the location derived from the confirmed linked-list object's values. The return is added, and all values in the returnArray are updated using Pine's built in array.___ functions. This returnArray object contains the array of all returns, its size, its average, the median, the standard deviation of returns, and a separate 3-integer array which holds values that correspond to the types of returns experienced by this pattern (negative, neutral, and positive)*.
After a pattern has been confirmed, this script will place the partition and all of the aforementioned stats values (plus a 95% confidence interval of expected returns) related to that pattern onto the tooltip of the label that identifies it. This allows users to scroll over the label of a confirmed pattern to gauge its prior performance under specific conditions. The percent return of the specific pattern identified will later be placed onto the label tooltip as well. ( SEE LIMITATIONS )
The stats portion of this script also plays a significant role in how patterns are presented when using the Adaptive Coloring mode described in FEATURES .
*These values are incremented based on user-input related to what constitutes a 'negative' or 'positive' return. Default values would place any return by a pattern between -3% and 3% in the 'neutral' category, and values exceeding either end will be placed in the 'negative' or 'positive' categories.
█ FEATURES
This script contains numerous inputs for modifying its behavior and how patterns are presented/processed, separated into 5 groups.
Confirmation Setting - The most important input for this script's functioning. This input is a 'confirm=true' input and must be set by the user before the script is applied to the chart. It sets the number of candles that a pattern has to confirm once it has been identified.
Alert Settings - This group of booleans sets which types of alerts will fire during the scripts execution on the chart. If enabled, the four alerts will trigger when: a pattern has been identified, a pattern has been confirmed, a pattern has been non-confirmed, and show the return for that confirmed pattern in an alert. Because this script uses the 'alert' function and not 'alertcondition', these must be enabled before 'any alert() function call' is set in TradingView's 'alerts' settings.
Partition Settings - This group of inputs are responsible for creating (and viewing) the partitions that breaks the returns of the patterns identified up into their respective groups. The user may set the resolution to grab the range from, the length back of this resolution the partitions get their values from, the thresholds which breaks the partitions up into their groups, and modify the visibility (if they're shown, the colors, opacity) of these partitions.
Stats Settings - These inputs will drastically alter how patterns are presented and the resulting information derived from them after their appearance. Because of this section's importance, some of these inputs will be described in more detail.
P/L Sample Length - Defines the number of candles after the starting point to grab values from in the % return calculation for that pattern.
P/L Starting Point - Defines the starting point where the P/L calculation will take place. 'FROM APPEARANCE' will set the starting point at the candle immediately following the pattern's appearance. 'FROM CONFIRMATION' will place the starting point immediately following the candle which had confirmed the pattern. ( SEE LIMITATIONS )
Min Returns Needed - Sets how many times a specific pattern must appear (both by number of candles needed to confirm and by partition) before the statistics for that pattern are displayed onto the tooltip (and for gradient coloration in Adaptive Coloring mode).
Enable Adaptive Coloring - Changes the coloration of the patterns based on the bullish/bearishness of the specified Gradient Reference value of that pattern compared to the Return Tolerance values OR the minimum and maximum values of that specified Gradient Reference value contained in the matrix of all returns. This creates a color from a gradient using the user-specified colors and alters how many of the patterns may appear if prior performance is taken into account.
Gradient Reference - Defines which stats measure of returns will be used in the gradient color generation. The two settings are 'AVG' and 'MEDIAN'.
Hard Limit - This boolean sets whether the Return Tolerance values will not be replaced by values that exceed them from the matrix of returns in color gradient generation. This changes the scale of the gradient where any Gradient Reference values of patterns that exceed these tolerances will be colored the full bullish or bearish gradient colors, and anything in between them will be given a color from the gradient.
Visibility Settings - This last section includes all settings associated with the overall visibility of patterns found with this script. This includes the position of the labels and their colors (+ pattern colors without Adaptive Coloring being enabled), and showing patterns that were non-confirmed.
Most of these inputs in the script have these kinds of descriptions to what they do provided by their tooltips.
█ HOW TO USE
I attempted to make this script much easier to use in terms of analyzing the patterns and displaying the information to the user. The previous script would have the user go to the 'data window' side bar on TradingView to view the returns of a pattern after they had specified which pattern to analyze through the settings, needlessly convoluted. This aim at simplicity was achieved through the use of UDTs and specific code-design.
To use, simply apply the indicator to a chart, set the number of candles (between 2 and 5) for confirming this specific pattern and adjust the many settings described above at your leisure.
█ LIMITATIONS
Disclaimer - This is a tool created with the hopes of helping identify a specific pattern and provide an informative view about the performance of that pattern. Previous performance is not indicative of future results. None of this constitutes any form of financial advice, *use at your own risk*.
Statistical Analysis - This script assumes that all patterns will yield a NORMAL DISTRIBUTION regarding their returns which may not be reflective of reality. I personally have limited experience within the field of statistics apart from a few high school/college courses and make no guarantees that the calculation of the 95% confidence interval is correct. Please review the source code to verify for yourself that this interval calculation is correct (Function Name: f_DisplayStatsOnLabel).
P/L Starting Point - Because of when the object related to the confirmation status of a pattern is created (specifically the linked-list object) setting the 'P/L Starting Point' to 'FROM APPEARANCE' will yield the results of that P/L calculation at the same time as 'FROM CONFIRMATION'.
█ EXAMPLES
Default Settings:
Partition Background (default):
Partition Background (Resolution D : Length 30):
Adaptive Coloration:
Show Non-Confirmed:
MARS - Moving Average Relative StrengthThe original idea from this script is from the script " Percentage Relative Strength " by dman103 . The original script compared a symbol to an index by their everyday percentage change. The symbol percentage was subtracted from percentage change of the index, & the results were then smoothed by moving averages.
Instead of daily percentage changes, this script directly calculates relative strength via a moving average. We call this simpler approach as MARS (Moving Average Relative Strength) .
MARS compares a symbol to the index by making use of the price's distance from a moving average. By default, we compare the distance from the 50-day simple moving average of the stock vs that of the index. Both the type & the length of the moving average is customisable.
Background color indicates the index being above or below its moving average.
Blue background: index is above its moving average
Pink background: index is below its moving average
The histogram indicates whether the stock is under-performing or out-performing the index.
Up-bars : stock is out-performing the index i.e. between the stock & the index, the difference between the distance to/from the 50-day moving average is a positive value.
Down-bars : stock is under-performing the index i.e. between the stock & the index, the difference between the distance to/from the 50-day moving average is a negative value.
The color of the histogram indicates the type of out-performance or under-performance. There can be a total of 6 such colors:
Relative out-performance : both index & stock are bearish, but stock is less bearish. The script prints light green up-bars on a pink background.
Gross out-performance : both index & stock are bullish, but stock is more bullish. The script prints green up-bars on a blue background.
Absolute out-performance : index is bearish, but stock is bullish! The script prints blue up-bars on a pink background.
Relative under-performance : both index & stock are bullish, but stock is less bullish. The script prints light red bars on a blue background.
Gross under-performance : both index & stock are bearish, but stock is more bearish. The script prints dark red bars on a pink background.
Absolute under-performance : index is bullish, but stock is bearish! The script prints black down-bars on a blue background.
Additional customisation options:
Paint bars option changes the bar colors to mirror the histogram colors.
Easy colors option just changes the histogram colors to either blue or pink, indicating out-performance or under-performance, respectively. This is when the trader does not wish to demarcate between the above-mentioned 6 conditions.
Multiple Standard MomentumMultiple Standard Momentum
The momentum indicator is a technical indicator that measures the speed and strength of the price movement of a financial asset. This indicator is used to identify the underlying strength of a trend and predict potential changes in price direction.
The calculation of the momentum indicator is based on the difference between the current price and the price of a previous period. The result is displayed on a chart, which can be positive or negative, depending on whether the current price is higher or lower than the price of the previous period. The indicator can be used on any time frame, but is generally used on short-term charts.
To use the momentum indicator , you look for two types of signals:
🔹 Crossover Signal – When the indicator crosses the zero line, it can signal a change of direction in the price trend.
🔹 Divergence – When the asset price moves in one direction and the indicator moves in the opposite direction, a divergence can be identified. This divergence may indicate a possible trend reversal.
COMPOSITION AND MODE OF USE OF THE INDICATOR
🔹 This indicator displays multiple Momentum levels on a single chart, allowing you to view multiple Momentum lines. Each level is represented on the chart where it can be hidden or shown as desired for better market analysis.
🔹 In addition, a zero trend line (also known as a horizontal trend line) has been added. The zero trend line is a horizontal line that indicates the point at which the current price equals the opening price, which allows users to draw a custom zero trend line on the chart using different colors and time periods of calculation.
* Highest performing custom setup for the Zero Trend Line. For Operations of:
- One Minute: Trend Line Time Frame = Five Minutes.
- Three Minutes: Trend Line Time Frame = Fifteen Minutes.
- Five Minutes: Trend Line Time Frame = Thirty Minutes.
- Fifteen Minutes: Trend Line Time Frame = Sixty Minutes.
Rules For Trading
🔹 Bullish:
* The Zero Trend Line must be in Green Color.
* When the Momentum Line Crosses the Zero Line from Bottom to Top.
🔹 Bearish:
* The Zero Trend Line must be in Red Color.
* When the Momentum Line Crosses the Zero Line from Top to Bottom.
In addition, parameters were defined to activate or deactivate the graphic signal taking into account the previous requirement (Bullish and Bearish):
🔹 Long or Buy = ▲
🔹 Short or Sell = ▼
This script can be used in different markets such as forex, indices, and cryptocurrencies for analysis and trading. However, it is important to note that no trading strategy is guaranteed to be profitable, and traders should always conduct their own research and risk management.
