Divergence Scaner 3D Dynamic_tHello MY friend
divergence scanner 3D dynamic
It is a dynamic 3D scanner for identifying positive and negative divergences in 10 indicators.
This indicator can identify the types of Regular_Hidden_Exaggerated divergences for bullish and bearish states in the following indicators.
(MACD_L, MACD_H, RSI, Stochastic, Volume, CCI, MFI, Momentum, OBV, ADX)
This indicator is able to identify the mentioned divergences in the desired price source and in the desired settings for each indicator.
This can be done in up to 3 scans with different sensitivities at the same time. Therefore, the chances of identifying different price points are increased.
Also, the price point for each scan is determined and drawn separately.
This is a dynamic indicator.
That is, the divergence is not misdiagnosed at any moment, and it expresses the presence or absence of divergence for each indicator, and at the first moment of divergence in each sweep, it informs the user of its existence. And if the divergence disappears at the first instant, the label text is corrected.
That is why we say it is dynamic.
This indicator can calculate and identify the divergence with the percentage of allowed deviation both in the price and in the indicator if the user needs.
This indicator has an alert function to inform about the formation of divergence in one scan with desired settings for all divergence modes and for all 10 indicators.
This indicator can label the last 5 divergences for positive and negative divergences and for all three scans. Also display the Fibonacci level for the last divergence.
According to your needs, you can activate only a number of scans that you want or activate only a number of indicators that you want.
The logic of calculation and identification of divergence in the indicator:
As you know, divergences are more valid if they occur between two consecutive peaks and valleys.
In this indicator, three scans are considered, and the user can identify tiny and small pivots according to his needs and strategy by entering different degrees of sensitivity for each scan.
The indicator identifies the desired divergences for 2 consecutive valleys and 2 consecutive peaks in each scan separately and displays them to the user.
Important note:
This indicator is not limited to identifying the indicator points only in line with the price points, that is, the price points and the indicator may not be in the same line.
The higher the sensitivity of your scan, the smaller waves will be detected, and the lower the selection number, the larger waves will be detected.
By enabling pints you can see detected pivots and also by enabling Fibonacci you can see the value of the Fibonacci number for the last detected divergence.
You can see the deviations with the allowed deviation rate if needed and You can also get midpoint error and midline error.(More details are given in the clip.)
This indicator can be customized according to your needs and will identify the divergences of your choice for active scans.
For better display in label printing, the indicator tries to print the output of all active scans in one label, provided that the label printing location is the same.
Note that divergence label printing is done only with the lowest and highest price.
However, drawing the divergence line and printing the point labels depends on the price source you select in each scan.
You can see the scan number written in front of the marker name on the printed label to identify which scan this divergence is for.
Also, before the name of the indicator, an abbreviation related to the type of divergence is also written so that you can understand the type of divergence. For example, H stands for HD divergence.
It is better to consider a color for each scan so that it remains easily in your mind and you can easily recognize the points of each scan.
It is better to adjust the detection sensitivity in scans so that small and large spots are detected simultaneously to increase the performance of the marker.
last word :
Due to the capability of three simultaneous scans as well as dynamics at any moment, we think that the error in detecting the divergence in this indicator is below 1% and also the error in finding the divergence is below 3%. Also, the chances of identifying different price points are increased.
This can be said. It is a very good implementation. You can experience it in back test and forward test.
I tried to show you the full explanation with details in the form of a few clips. You can refer to my YouTube channel for a better introduction of the indicator and to know how to set the settings correctly.
Be careful to experience better execution speed ,Run the indicator when the market is open.
thank you
Cari dalam skrip untuk "wave"
Volume - Plus / Connectable [Azullian]The connectable volume plus indicator enhances your trading strategy by providing an in-depth analysis of volume data within the connectable indicator system . This tool extends beyond the scope of traditional volume analysis, enabling a comprehensive examination of market trends without the necessity for coding. As part of our range of connectable indicators , it effectively works with TradingView's input source as a signal connector , facilitating a synchronized and interactive approach. Each connectable indicator, including Volume - Plus, contributes signal weight , allowing for a detailed and nuanced analysis which then informs a connectable signal monitor, signal filter, or strategy.
█ DISTINCTIVE FEATURES
Volume - Plus is equipped with features that enhance market analysis:
• Advanced Volume Analysis: Select from sophisticated volume modes like Volume waves and Time segmented volume for comprehensive market insights.
• Customizable Periods & Sources: Adjust the volume calculation settings to align with your specific strategy, using adjustable periods and alternative data sources.
• Versatile Scoring Conditions: Utilize six different thresholds for scoring to create a tailored approach for volume-based signal generation.
• Intuitive Visual Representation: Clear visual cues on volume trends and conditions are displayed directly on your charts, aiding in decision-making.
█ UNIFORM SETTINGS AND A WAY OF WORK
Although connectable indicators may have specific weight scoring conditions, they all aim to follow a standardized general approach to weight scoring settings, as outlined below.
■ Connectable indicators - Settings
• 🗲 Energy: Energy applies an ATR multiplier to the plotted shapes on the chart. A higher value plots shapes farther away from the candle, enhancing visibility.
• ☼ Brightness: Brightness determines the opacity of the shape plotted on the chart, aiding visibility. Indicator weight also influences opacity.
• BC - Bar coloring: Color candles based on your volume settings.
• → Input: Use the input setting to specify a data source for the indicator. Here you can connect the indicator to other indicators.
• ⌥ Flow: Determine where you want to receive signals from:
○ Both: Weights from this indicator and the connected indicator will apply
○ Indicator only: Only weights from this indicator will apply
○ Input only: Only weights from the connected indicator will apply
• ⥅ Weight multiplier: Multiply all weights in the entire indicator by a given factor, useful for quickly testing different indicators in a granular setup.
• ⥇ Threshold: Set a threshold to indicate the minimum amount of weight it should receive to pass it through to the next indicator.
• ⥱ Limiter: Set a hard limit to the maximum amount of weight that can be fed through the indicator.
■ Connectable indicators - Weight scoring settings
▢ Weight scoring conditions
• SM – Signal mode: Enable specific conditions for weight scoring
○ Start: A new trend in volume starting will score
○ End: A new trend in volume ending will score
○ Zone: Continuous scoring for each candle between the start and the end.
• SP – Signal period: Defines a range of candles within which a signal can score.
• SC - Signal count: Specifies the number of bars to retrospectively examine and score.
○ Single: Score for a single occurrence
○ All occurrences: Score for all occurrences
○ Single + Threshold: Score for single occurrences within the signal period (SP)
○ Every + Threshold: Score for all occurrences within the signal period (SP)
▢ Weight scoring direction
• ES: Enter Short weight
• XL: Exit long weight
• EL: Enter Long weight
• XS: Exit Short weight
▢ Weight scoring values
• Weights can hold either positive or negative scores. Positive weights enhance a particular trading direction, while negative weights diminish it.
█ Volume - Plus - INDICATOR SETTINGS
■ Main settings
• Enable/Disable Indicator: Toggle the entire indicator on or off.
• V - Volume mode: Choose between Volume waves and Time segmented volume
• P - Period: Set a period on which the volume is calculated.
• S - Source: Choose an alternative data source for the Volume calculation.
• T - Timeframe: Select an alternative timeframe for the Volume calculation.
• C - Candletype: Choose a candletype for the alternative source.
• B - Scaling bottom: Scale volume to this bottom level
• T - Scaling top: Scale volume to this top level
• A - Moving average type: Filter and smooth with these moving average types (ALMA, EMA, HMA, RMA, SMA, SWMA, VWMA, WMA)
• L - Moving average length: Set the length for the moving average.
• M - Moving average mode: Set the moving average mode
○ Source: Set as source
○ Banded threshold: Make the threshold levels move with a moving average
■ Conditions
Set six thresholds for scoring and determine your own type of scoring mechanism
• Enable/Disable condition: Toggle a condition on or off
• Conditional direction: Choose a direction for scoring
○ Above: Volume breaches the threshold
○ Rising: Volume rises above the threshold
○ Falling: Volume falls under the threshold
○ Crossover: Volume crosses over the threshold
○ Crossunder: Volume crosses under the threshold
• TH: Set a threshold level
• BBN: Set a sentiment for your condition
○ Bullish
○ Bearish
○ Neutral
■ Scoring functionality
• For each threshold you are able to set a sentiment. Sentiment scoring is incorporated in the weight conditions as usual.
█ PLOTTING
• Standard: Symbols (EL, XS, ES, XL) Volume is plotted according to the volume mode in the seperate pane and also with bar coloring on the candle if this option is enabled.
• Conditional Settings: A larger icon appears if global conditions are met. For instance, with a Threshold(⥇) of 12, Signal Period (SP) of 3, and Scoring Condition (SC) set to "EVERY", a volume threshold signaling over two times in 3 candles (scoring 6 each) triggers a larger icon.
█ USAGE OF CONNECTABLE INDICATORS
■ Connectable chaining mechanism
Connectable indicators can be connected directly to the signal monitor, signal filter or strategy , or they can be daisy chained to each other while the last indicator in the chain connects to the signal monitor, signal filter or strategy. When using a signal filter you can chain the filter to the strategy input to make your chain complete.
• Direct chaining: Connect an indicator directly to the signal monitor, signal filter or strategy through the provided inputs (→).
• Daisy chaining: Connect indicators using the indicator input (→). The first in a daisy chain should have a flow (⌥) set to 'Indicator only'. Subsequent indicators use 'Both' to pass the previous weight. The final indicator connects to the signal monitor, signal filter, or strategy.
■ Set up this indicator with a signal filter and strategy
The indicator provides visual cues based on signal conditions. However, its weight system is best utilized when paired with a connectable signal filter, monitor, or strategy .
Let's connect the volume - plus to a connectable signal filter and a strategy :
1. Load all relevant indicators
• Load Volume - Plus / Connectable
• Load Signal filter / Connectable
• Load Strategy / Connectable
2. Signal Filter: Connect the Volume - Plus to the Signal Filter - Plus
• Open the signal filter settings
• Choose one of the five input dropdowns (1→, 2→, 3→, 4→, 5→) and choose : Volume - Plus / Connectable: Signal Connector
• Toggle the enable box before the connected input to enable the incoming signal
3. Signal Filter: Update the filter settings if needed
• The default filter mode for the trading direction is SWING, and is compatible with the default settings in the strategy and indicators.
4. Signal Filter: Update the weight threshold settings if needed
• All connectable indicators load by default with a score of 6 for each direction (EL, XL, ES, XS)
• By default, weight threshold is 'ABOVE' Threshold 1 (TH1) and Threshold 2 (TH2), both set at 5. This allows each occurrence to score, as the default score is 1 point above the threshold.
5. Strategy: Connect the strategy to the signal filter in the strategy settings
• Select a strategy input → and select the Signal filter: Signal connector
6. Strategy: Enable filter compatible directions
• As the default setting of the filter is SWING, we should also set the SM (Strategy mode) to SWING.
Now that everything is connected, you'll notice green spikes in the signal filter representing long signals, and red spikes indicating short signals. Trades will also appear on the chart, complemented by a performance overview. Your journey is just beginning: delve into different scoring mechanisms, merge diverse connectable indicators, and craft unique chains. Instantly test your results and discover the potential of your configurations. Dive deep and enjoy the process!
█ BENEFITS
• Adaptable Modular Design: Arrange indicators in diverse structures via direct or daisy chaining, allowing tailored configurations to align with your analysis approach.
• Streamlined Backtesting: Simplify the iterative process of testing and adjusting combinations, facilitating a smoother exploration of potential setups.
• Intuitive Interface: Navigate TradingView with added ease. Integrate desired indicators, adjust settings, and establish alerts without delving into complex code.
• Signal Weight Precision: Leverage granular weight allocation among signals, offering a deeper layer of customization in strategy formulation.
• Advanced Signal Filtering: Define entry and exit conditions with more clarity, granting an added layer of strategy precision.
• Clear Visual Feedback: Distinct visual signals and cues enhance the readability of charts, promoting informed decision-making.
• Standardized Defaults: Indicators are equipped with universally recognized preset settings, ensuring consistency in initial setups across different types like momentum or volatility.
• Reliability: Our indicators are meticulously developed to prevent repainting. We strictly adhere to TradingView's coding conventions, ensuring our code is both performant and clean.
█ COMPATIBLE INDICATORS
Each indicator that incorporates our open-source 'azLibConnector' library and adheres to our conventions can be effortlessly integrated and used as detailed above.
For clarity and recognition within the TradingView platform, we append the suffix ' / Connectable' to every compatible indicator.
█ COMMON MISTAKES, CLARIFICATIONS AND TIPS
• Removing an indicator from a chain: Deleting a linked indicator and confirming the "remove study tree" alert will also remove all underlying indicators in the object tree. Before removing one, disconnect the adjacent indicators and move it to the object stack's bottom.
• Point systems: The azLibConnector provides 500 points for each direction (EL: Enter long, XL: Exit long, ES: Enter short, XS: Exit short) Remember this cap when devising a point structure.
• Flow misconfiguration: In daisy chains the first indicator should always have a flow (⌥) setting of 'indicator only' while other indicator should have a flow (⌥) setting of 'both'.
• Hide attributes: As connectable indicators send through quite some information you'll notice all the arguments are taking up some screenwidth and cause some visual clutter. You can disable arguments in Chart Settings / Status line.
• Layout and abbreviations: To maintain a consistent structure, we use abbreviations for each input. While this may initially seem complex, you'll quickly become familiar with them. Each abbreviation is also explained in the inline tooltips.
• Inputs: Connecting a connectable indicator directly to the strategy delivers the raw signal without a weight threshold, meaning every signal will trigger a trade.
█ A NOTE OF GRATITUDE
Through years of exploring TradingView and Pine Script, we've drawn immense inspiration from the community's knowledge and innovation. Thank you for being a constant source of motivation and insight.
█ RISK DISCLAIMER
Azullian's content, tools, scripts, articles, and educational offerings are presented purely for educational and informational uses. Please be aware that past performance should not be considered a predictor of future results.
AWR_WaveTrend Multitimeframe [adapted from LazyBear]I've adapted a script from Lazy Bear (WT trend oscillator)
WaveTrend Oscillator is a port of a famous TS/MT indicator.
When the oscillator (WT1 designed as a line) is above the overbought band (50 to 60) and crosses down the WT2 (dotted line), it is usually a good SELL signal. Similarly, when the oscillator crosses above the signal when below the Oversold band ( (-50 to -60)), it is a good BUY signal.
In this indicator, you can display at the same time, different time frames.
Choice possible are 1 mn, 15 mn, 30 mn, 60 mn, 120 mn, 240 mn, 1D, Week, Month.
Small time frames (1 to 30 mn) are represented by a blue lines (light to dark)
1H is in grey
2H & 4H are in purple (light to dark)
1D is in green
1W is in orange
1M is in black
You can choose which timeframes you want to display for the current period or for the last period closed.
In a few seconds, you perfectly see the selected timeframes trends.
There is also at the bottom right a table summing up all the different values of WT1, WT2 and difference between them.
Positive difference means an upside trend
Negative difference means a downside trend.
Another way of using this indicator is displaying only the difference between WT1 & WT2. It's giving the speed & the direction of all trends. Trends are our friends ...
You can observe the significent times frames and look if they are all positives or negatives or if the speed of lower timeframe cross a longer timeframe of if the speed is decreasing or increasing...
Difference values goes generaly from -20 to 20 (it can exceed a bit but really rare). 12 is already high level of speed.
Many uses possible.
In the exemple posted, I've selected WT1 and WT2 for timeframes 4H, Daily & Weekly.
Marker 1:
Orange lines (WT1) are far below - 50 (-67 here) and cross WT2 pointed lines : weekly buy signal
But this buy signal is balanced by 4H & Daily sell signal = it's marking start of hesitations of main trend !!!!
Marker 2 :
Next buy signal in 4H or daily would normaly confirm the start
Marker 3 :
Sell signal in 4H and daily but weekly has an upside trend ! Start of a counter trend in the trend. To find the perfect timing of that you have to look to lower time frames, because 4H and daily are giving many hesitations signals crossing down & crossing up many times in an overbought zone.
Marker 4 :
End of the counter trend. Most of the time, the countertrend don't go in the "over" zone. That's why if you trading in an counter trend, you have to keep it in mind.
Then a few days later you can see the sell signal. And what a sell signal ! 4H & daily are smashed down really fastly ! Trends change warning !
Marker 5
Long hesitation/change of the trend. Daily WT and 4H are below the weekly trends. Weekly start to go down.
Start of a counter trend inside the trend giving us the best selling signal at her end !
Marker 6 :
Long hesitation/change of the trend.
You have to look in lower time frames to identify the short trend. Difficult to find the best timing to get in. ....
I've add many alerts. When a time frame become positive or negative. When many time frames are positive or negative or above or below 47 level...
Please feel free to explore.
Hope it will help you.
Thanks to Lazybear ! Thousands thanks to Lazybear !
Exemple with difference
Squeeze Momentum DeluxeThe Squeeze Momentum Deluxe is a comprehensive trading toolkit built with features of momentum, volatility, and price action. This script offers a suite for both mean reversion and trend-following analysis. Developed based on the original TTM Squeeze implementation by @LazyBear, this indicator introduces several innovative components to enhance your trading insights.
🔲 Components and Features
Momentum Oscillator - as rooted in the TTM Squeeze, quantifies the relationship between price and its extremes over a defined period. By normalizing the calculation, the values become comparable throughout time and across securities, allowing for a nuanced assessment of Bullish and Bearish momentum. Furthermore, by presenting it as a ribbon with a signal line we gain additional information about the direction of price swings.
Squeeze Bars - The original squeeze concept is based on the relationship between the Bollinger Bands and Keltner Channel , once the BB resides inside the KC a squeeze occurs. By understanding their fundamentals a new form of calculation can be inferred.
method bb(float src, simple int len, simple float mult) => method kc(float src, simple int len, simple float mult) =>
float basis = ta.sma (src, len) float basis = ta.sma (src, len)
float dev = ta.stdev(src, len) float rng = ta.atr ( len)
float upper = basis + dev * mult float upper = basis + rng * mult
float lower = basis - dev * mult float lower = basis - rng * mult
Both BB and KC are constructed upon a moving average with the addition of Standard Deviation and Average True Range respectively. Therefore, the calculation can be transformed to when the Stdev is lower than the ATR a squeeze occurs.
method sqz(float src, simple int len) =>
float dev = ta.stdev(src, len)
float atr = ta.atr ( len)
dev < atr ? true : false
This indicator uses three different thresholds for the ATR to gain three levels of price "Squeeze" for further analysis.
Directional Flux- This component measures the overall direction of price volatility, offering insights into trend sentiment. Presented as waves in the background, it includes an OverFlux feature to signal extreme market bias in a particular direction which can signal either exhaustion or vital continuation. Additionally, the user can choose if to base the calculation on Heikin-Ashi Candles to bias the tool toward trend assessment.
Confluence Gauges - Placed at the top and bottom of the indicator, these gauges measure confluence in the relationship between the Momentum Oscillator and Directional Flux. They provide traders with an easily interpretable visual aid for detecting market sentiment. Reversal doritos displayed alongside them contribute to mean reversion analysis.
Divergences (Real-Time) - Equipped with a custom algorithm, the indicator detects real-time divergences between price and the oscillator. This dynamic feature enhances your ability to spot potential trend reversals as they occur.
🔲 Settings
Directional Flux Length - Adjusts the period of which the background volatility waves operate on.
Trend Bias - Bases the calculation of the Flux to HA candles to bias its behavior toward the trend of price action.
Squeeze Momentum Length - Calibrates the length of the main oscillator ribbon as well as the period for the squeeze algorithm.
Signal - Controls the width of the ribbon. Lower values result in faster responsiveness at the cost of premature positives.
Divergence Sensitivity - Adjusts a threshold to limit the amount of divergences detected based on strength. Higher values result in less detections, stronger structure.
🔲 Alerts
Sell Signal
Buy Signal
Bullish Momentum
Bearish Momentum
Bullish Flux
Bearish Flux
Bullish Swing
Bearish Swing
Strong Bull Gauge
Strong Bear Gauge
Weak Bull Gauge
Weak Bear Gauge
High Squeeze
Normal Squeeze
Low Squeeze
Bullish Divergence
Bearish Divergence
As well as the option to trigger 'any alert' call.
The Squeeze Momentum Deluxe is a comprehensive tool that goes beyond traditional momentum indicators, offering a rich set of features to elevate your trading strategy. I recommend using toolkit alongside other indicators to have a wide variety of confluence to therefore gain higher probabilistic and better informed decisions.
Flags and Pennants [Trendoscope®]🎲 An extension to Chart Patterns based on Trend Line Pairs - Flags and Pennants
After exploring Algorithmic Identification and Classification of Chart Patterns and developing Auto Chart Patterns Indicator , we now delve into extensions of these patterns, focusing on Flag and Pennant Chart Patterns. These patterns evolve from basic trend line pair-based structures, often influenced by preceding market impulses.
🎲 Identification rules for the Extension Patterns
🎯 Identify the existence of Base Chart Patterns
Before identifying the flag and pennant patterns, we first need to identify the existence of following base trend line pair based converging or parallel patterns.
Ascending Channel
Descending Channel
Rising Wedge (Contracting)
Falling Wedge (Contracting)
Converging Triangle
Descending Triangle (Contracting)
Ascending Triangle (Contracting)
🎯 Identifying Extension Patterns.
The key to pinpointing these patterns lies in spotting a strong impulsive wave – akin to a flagpole – preceding a base pattern. This setup suggests potential for an extension pattern:
A Bullish Flag emerges from a positive impulse followed by a descending channel or a falling wedge
A Bearish Flag appears after a negative impulse leading to an ascending channel or a rising wedge.
A Bullish Pennant is indicated by a positive thrust preceding a converging triangle or ascending triangle.
A Bearish Pennant follows a negative impulse and a converging or descending triangle.
🎲 Pattern Classifications and Characteristics
🎯 Bullish Flag Pattern
Characteristics of Bullish Flag Pattern are as follows
Starts with a positive impulse wave
Immediately followed by either a short descending channel or a falling wedge
Here is an example of Bullish Flag Pattern
🎯 Bearish Flag Pattern
Characteristics of Bearish Flag Pattern are as follows
Starts with a negative impulse wave
Immediately followed by either a short ascending channel or a rising wedge
Here is an example of Bearish Flag Pattern
🎯 Bullish Pennant Pattern
Characteristics of Bullish Pennant Pattern are as follows
Starts with a positive impulse wave
Immediately followed by either a converging triangle or ascending triangle pattern.
Here is an example of Bullish Pennant Pattern
🎯 Bearish Pennant Pattern
Characteristics of Bearish Pennant Pattern are as follows
Starts with a negative impulse wave
Immediately followed by either a converging triangle or a descending converging triangle pattern.
Here is an example of Bearish Pennant Pattern
🎲 Trading Extension Patterns
In a strong market trend, it's common to see temporary periods of consolidation, forming patterns that either converge or range, often counter to the ongoing trend direction. Such pauses may lay the groundwork for the continuation of the trend post-breakout. The assumption that the trend will resume shapes the underlying bias of Flag and Pennant patterns
It's important, however, not to base decisions solely on past trends. Conducting personal back testing is crucial to ascertain the most effective entry and exit strategies for these patterns. Remember, the behavior of these patterns can vary significantly with the volatility of the asset and the specific timeframe being analyzed.
Approach the interpretation of these patterns with prudence, considering that market dynamics are subject to a wide array of influencing factors that might deviate from expected outcomes. For investors and traders, it's essential to engage in thorough back testing, establishing entry points, stop-loss orders, and target goals that align with your individual trading style and risk appetite. This step is key to assessing the viability of these patterns in line with your personal trading strategies and goals.
It's fairly common to witness a breakout followed by a swift price reversal after these patterns have formed. Additionally, there's room for innovation in trading by going against the bias if the breakout occurs in the opposite direction, specially when the trend before the formation of the pattern is in against the pattern bias.
🎲 Cheat Sheet
🎲 Indicator Settings
Custom Source : Enables users to set custom OHLC - this means, the indicator can also be applied on oscillators and other indicators having OHLC values.
Zigzag Settings : Allows users to enable different zigzag base and set length and depth for each zigzag.
Scanning Settings : Pattern scanning settings set some parameters that define the pattern recognition process.
Display Settings : Determine the display of indicators including colors, lines, labels etc.
Backtest Settings : Allows users to set a predetermined back test bars so that the indicator will not time out while trying to run for all available bars.
Triple Confirmation Kernel Regression Overlay [QuantraSystems]Kernel Regression Oscillator - Overlay
Introduction
The Kernel Regression Oscillator (ᏦᏒᎧ) represents an advanced tool for traders looking to capitalize on market trends.
This Indicator is valuable in identifying and confirming trend directions, as well as probabilistic and dynamic oversold and overbought zones.
It achieves this through a unique composite approach using three distinct Kernel Regressions combined in an Oscillator.
The additional Chart Overlay Indicator adds confidence to the signal.
Which is this Indicator.
This methodology helps the trader to significantly reduce false signals and offers a more reliable indication of market movements than more widely used indicators can.
Legend
The upper section is the Overlay. It features the Signal Wave to display the current trend.
Its Overbought and Oversold zones start at 50% and end at 100% of the selected Standard Deviation (default σ = 3), which can indicate extremely rare situations which can lead to either a softening momentum in the trend or even a mean reversion situation.
The lower one is the Base Chart.
The Indicator is linked here
It features the Kernel Regression Oscillator to display a composite of three distinct regressions, also displaying current trend.
Its Overbought and Oversold zones start at 50% and end at 100% of the selected Standard Deviation (default σ = 2), which can indicate extremely rare situations.
Case Study
To effectively utilize the ᏦᏒᎧ, traders should use both the additional Overlay and the Base
Chart at the same time. Then focus on capturing the confluence in signals, for example:
If the 𝓢𝓲𝓰𝓷𝓪𝓵 𝓦𝓪𝓿𝓮 on the Overlay and the ᏦᏒᎧ on the Base Chart both reside near the extreme of an Oversold zone the probability is higher than normal that momentum in trend may soften or the token may even experience a reversion soon.
If a bar is characterized by an Oversold Shading in both the Overlay and the Base Chart, then the probability is very high to experience a reversion soon.
In this case the trader may want to look for appropriate entries into a long position, as displayed here.
If a bar is characterized by an Overbought Shading in either Overlay or Base Chart, then the probability is high for momentum weakening or a mean reversion.
In this case the trade may have taken profit and closed his long position, as displayed here.
Please note that we always advise to find more confluence by additional indicators.
Recommended Settings
Swing Trading (1D chart)
Overlay
Bandwith: 45
Width: 2
SD Lookback: 150
SD Multiplier: 2
Base Chart
Bandwith: 45
SD Lookback: 150
SD Multiplier: 2
Fast-paced, Scalping (4min chart)
Overlay
Bandwith: 75
Width: 2
SD Lookback: 150
SD Multiplier: 3
Base Chart
Bandwith: 45
SD Lookback: 150
SD Multiplier: 2
Notes
The Kernel Regression Oscillator on the Base Chart is also sensitive to divergences if that is something you are keen on using.
For maximum confluence, it is recommended to use the indicator both as a chart overlay and in its Base Chart.
Please pay attention to shaded areas with Standard Deviation settings of 2 or 3 at their outer borders, and consider action only with high confidence when both parts of the indicator align on the same signal.
This tool shows its best performance on timeframes lower than 4 hours.
Traders are encouraged to test and determine the most suitable settings for their specific trading strategies and timeframes.
The trend following functionality is indicated through the "𝓢𝓲𝓰𝓷𝓪𝓵 𝓦𝓪𝓿𝓮" Line, with optional "Up" and "Down" arrows to denote trend directions only (toggle “Show Trend Signals”).
Methodology
The Kernel Regression Oscillator takes three distinct kernel regression functions,
used at similar weight, in order to calculate a balanced and smooth composite of the regressions. Part of it are:
The Epanechnikov Kernel Regression: Known for its efficiency in smoothing data by assigning less weight to data points further away from the target point than closer data points, effectively reducing variance.
The Wave Kernel Regression: Similarly assigning weight to the data points based on distance, it captures repetitive and thus wave-like patterns within the data to smoothen out and reduce the effect of underlying cyclical trends.
The Logistic Kernel Regression: This uses the logistic function in order to assign weights by probability distribution on the distance between data points and target points. It thus avoids both bias and variance to a certain level.
kernel(source, bandwidth, kernel_type) =>
switch kernel_type
"Epanechnikov" => math.abs(source) <= 1 ? 0.75 * (1 - math.pow(source, 2)) : 0.0
"Logistic" => 1/math.exp(source + 2 + math.exp(-source))
"Wave" => math.abs(source) <= 1 ? (1 - math.abs(source)) * math.cos(math.pi * source) : 0.
kernelRegression(src, bandwidth, kernel_type) =>
sumWeightedY = 0.
sumKernels = 0.
for i = 0 to bandwidth - 1
base = i*i/math.pow(bandwidth, 2)
kernel = kernel(base, 1, kernel_type)
sumWeightedY += kernel * src
sumKernels += kernel
(src - sumWeightedY/sumKernels)/src
// Triple Confirmations
Ep = kernelRegression(source, bandwidth, 'Epanechnikov' )
Lo = kernelRegression(source, bandwidth, 'Logistic' )
Wa = kernelRegression(source, bandwidth, 'Wave' )
By combining these regressions in an unbiased average, we follow our principle of achieving confluence for a signal or a decision, by stacking several edges to increase the probability that we are correct.
// Average
AV = math.avg(Ep, Lo, Wa)
The Standard Deviation bands take defined parameters from the user, in this case sigma of ideally between 2 to 3,
to help the indicator detect extremely improbable conditions and thus take an inversely probable signal from it to forward to the user.
The parameter settings and also the visualizations allow for ample customizations by the trader. The indicator comes with default and recommended settings.
For questions or recommendations, please feel free to seek contact in the comments.
Triple Confirmation Kernel Regression Base [QuantraSystems]Kernel Regression Oscillator - BASE
Introduction
The Kernel Regression Oscillator (ᏦᏒᎧ) represents an advanced tool for traders looking to capitalize on market trends.
This Indicator is valuable in identifying and confirming trend directions, as well as probabilistic and dynamic oversold and overbought zones.
It achieves this through a unique composite approach using three distinct Kernel Regressions combined in an Oscillator. The additional Chart Overlay Indicator adds confidence to the signal.
This methodology helps the trader to significantly reduce false signals and offers a more reliable indication of market movements than more widely used indicators can.
Legend
The upper section is the Overlay. It features the Signal Wave to display the current trend.
Its Overbought and Oversold zones start at 50% and end at 100% of the selected Standard Deviation (default σ = 3), which can indicate extremely rare situations which can lead to either a softening momentum in the trend or even a mean reversion situation.
The lower one is the Base Chart - This Indicator.
It features the Kernel Regression Oscillator to display a composite of three distinct regressions, also displaying current trend.
Its Overbought and Oversold zones start at 50% and end at 100% of the selected Standard Deviation (default σ = 2), which can indicate extremely rare situations.
Case Study
To effectively utilize the ᏦᏒᎧ, traders should use both the additional Overlay and the Base
Chart at the same time. Then focus on capturing the confluence in signals, for example:
If the 𝓢𝓲𝓰𝓷𝓪𝓵 𝓦𝓪𝓿𝓮 on the Overlay and the ᏦᏒᎧ on the Base Chart both reside near the extreme of an Oversold zone the probability is higher than normal that momentum in trend may soften or the token may even experience a reversion soon.
If a bar is characterized by an Oversold Shading in both the Overlay and the Base Chart, then the probability is very high to experience a reversion soon.
In this case the trader may want to look for appropriate entries into a long position, as displayed here.
If a bar is characterized by an Overbought Shading in either Overlay or Base Chart, then the probability is high for momentum weakening or a mean reversion.
In this case the trade may have taken profit and closed his long position, as displayed here.
Please note that we always advise to find more confluence by additional indicators.
Recommended Settings
Swing Trading (1D chart)
Overlay
Bandwith: 45
Width: 2
SD Lookback: 150
SD Multiplier: 2
Base Chart
Bandwith: 45
SD Lookback: 150
SD Multiplier: 2
Fast-paced, Scalping (4min chart)
Overlay
Bandwith: 75
Width: 2
SD Lookback: 150
SD Multiplier: 3
Base Chart
Bandwith: 45
SD Lookback: 150
SD Multiplier: 2
Notes
The Kernel Regression Oscillator on the Base Chart is also sensitive to divergences if that is something you are keen on using.
For maximum confluence, it is recommended to use the indicator both as a chart overlay and in its Base Chart.
Please pay attention to shaded areas with Standard Deviation settings of 2 or 3 at their outer borders, and consider action only with high confidence when both parts of the indicator align on the same signal.
This tool shows its best performance on timeframes lower than 4 hours.
Traders are encouraged to test and determine the most suitable settings for their specific trading strategies and timeframes.
The trend following functionality is indicated through the "𝓢𝓲𝓰𝓷𝓪𝓵 𝓦𝓪𝓿𝓮" Line, with optional "Up" and "Down" arrows to denote trend directions only (toggle “Show Trend Signals”).
Methodology
The Kernel Regression Oscillator takes three distinct kernel regression functions,
used at similar weight, in order to calculate a balanced and smooth composite of the regressions. Part of it are:
The Epanechnikov Kernel Regression: Known for its efficiency in smoothing data by assigning less weight to data points further away from the target point than closer data points, effectively reducing variance.
The Wave Kernel Regression: Similarly assigning weight to the data points based on distance, it captures repetitive and thus wave-like patterns within the data to smoothen out and reduce the effect of underlying cyclical trends.
The Logistic Kernel Regression: This uses the logistic function in order to assign weights by probability distribution on the distance between data points and target points. It thus avoids both bias and variance to a certain level.
kernel(source, bandwidth, kernel_type) =>
switch kernel_type
"Epanechnikov" => math.abs(source) <= 1 ? 0.75 * (1 - math.pow(source, 2)) : 0.0
"Logistic" => 1/math.exp(source + 2 + math.exp(-source))
"Wave" => math.abs(source) <= 1 ? (1 - math.abs(source)) * math.cos(math.pi * source) : 0.
kernelRegression(src, bandwidth, kernel_type) =>
sumWeightedY = 0.
sumKernels = 0.
for i = 0 to bandwidth - 1
base = i*i/math.pow(bandwidth, 2)
kernel = kernel(base, 1, kernel_type)
sumWeightedY += kernel * src
sumKernels += kernel
(src - sumWeightedY/sumKernels)/src
// Triple Confirmations
Ep = kernelRegression(source, bandwidth, 'Epanechnikov' )
Lo = kernelRegression(source, bandwidth, 'Logistic' )
Wa = kernelRegression(source, bandwidth, 'Wave' )
By combining these regressions in an unbiased average, we follow our principle of achieving confluence for a signal or a decision, by stacking several edges to increase the probability that we are correct.
// Average
AV = math.avg(Ep, Lo, Wa)
The Standard Deviation bands take defined parameters from the user, in this case sigma of ideally between 2 to 3,
to help the indicator detect extremely improbable conditions and thus take an inversely probable signal from it to forward to the user.
The parameter settings and also the visualizations allow for ample customizations by the trader. The indicator comes with default and recommended settings.
For questions or recommendations, please feel free to seek contact in the comments.
Trailing Stop-Loss Indicator (FinnoVent)The Dynamic 9 EMA Trailing Stop-Loss Indicator is a specialized tool designed for the TradingView community to enhance risk management in trading. This script dynamically adjusts a trailing stop-loss level based on the position of the price relative to a 9-period Exponential Moving Average (EMA), offering traders a systematic approach to protect potential profits and limit downside risk.
Functionality:
Adaptive Trailing Stop: The indicator calculates a trailing stop-loss that adjusts with the 9 EMA, providing a responsive method to secure gains or prevent extensive losses.
EMA Trend Indicator: The 9-period EMA serves as a momentum indicator, with the script adjusting the trailing stop-loss accordingly — above the EMA for short positions and below for long positions.
Entry Signal Visualization: Entry signals are visualized on the chart, indicating potential long and short positions based on price crossovers with the EMA.
Application:
This indicator is ideal for traders who utilize technical analysis to make informed decisions. By automatically adjusting the stop-loss level to the evolving market conditions, it is particularly useful for:
Day traders looking to capitalize on short-term price movements.
Swing traders aiming to secure positions during more extended market waves.
Any trading strategy that benefits from dynamic stop-loss management.
Usage:
To use the indicator, simply add it to your TradingView chart, and it will automatically plot the trailing stop levels. The green and red lines represent the trailing stops for long and short positions, respectively, providing clear visual cues for potential exit points.
Compliance with TradingView House Rules:
This script is provided for educational purposes and does not constitute investment advice. It is a unique creation that has been developed to contribute to the TradingView community by offering a tool that helps traders manage their trades more effectively.
Fibonacci TradingFibonacci Trading
This simple script draw Fibonacci Retracement to define pullback level and draw Fibonacci Extension to define target level of a upward wave or doward wave
1. Upward wave
1.1 Fibonacci Retracement
+ Fibonacci Retracement measuare from support to nearest resistance on the right.
+ Retracement Level 0 named as "Breake Even"
+ Retracement Level 100 named as "Long Invalidation"
+ Retracement Level 50 and 61.8 is ploted as blue line
+ The zone between Retracement Level 50 and 100 is filled by blue color and named as "Buy zone"
1.2 Fibonacci Extension
+ Fibonacci Extension measuare from Retracement Level 61.8 to Retracement Level 0
+ Fibonacci Extension Level 161.8 named as "Tp1 (Target point 1)"
+ Fibonacci Extension Level 261.8 named as "Tp2 (Target point 2)"
2. Doward wave
2.1 Fibonacci Retracement
+ Fibonacci Retracement measuare from resistance to nearest support on the right.
+ Retracement Level 0 named as "Breake Even"
+ Retracement Level 100 named as "Short Invalidation"
+ Retracement Level 50 and 61.8 is ploted as red line
+ The zone between Retracement Level 50 and 100 is filled by red color and named as "Sell zone"
2.2 Fibonacci Extension
+ Fibonacci Extension measuare from Retracement Level 61.8 to Retracement Level 0
+ Fibonacci Extension Level 161.8 named as "Tp1 (Target point 1)"
+ Fibonacci Extension Level 261.8 named as "Tp2 (Target point 2)"
3. Trading Setup
3.1 Long Only: Only display Fibonacci of Upward wave
3.2 Short Only: Only display Fibonacci of Doward wave
3.3 Both: Display both Fibonacci of Upward wave and Doward wave
UvRSIUvRSI (Ultra-violent RSI) is my first and most used script, it all started from here, both my trading and coding career and it is now available to the public for free.
This indicator is an hybrid indicator that (as suggested by the name) is mostly based on RSI, even if is a modified version of it.
I made this indicator once I seen multiple correlation between RSI and Stochastic RSI and I started using the basic indicators to trade.
But I wasn't satisfied by both, I think I could have a better hedge by removing some noise around, even if when you launch it it's like hyper "dirty*, stick around, because you can pretty modify anything in it.
What you see here is the hybrid RSI/Stock RSI version
The green/red line is representing the RSI, it changes from green to red given by a WMA calculation on the RSI itself
The dots you seen is where the StochRSI crossed, bullish or bearish
The purple background represent the actual Stoch RSI line, that I decided to keep plotted not in a line version to not get confused with the RSI, it's also the less important info IMHO you can find here, since the dots you seen when a Stoch cross already represent where the cross happended by the shape of the dot. (diamond shape: stong cross, dot: normal cross, cross: not the best, yellow cross: weak)
If this seems confusing, and you want to stick to another background as an info, in setting enable "alpha rainbow waves" and you background will look like this:
Alpha waves is another indicator I developed that I was able to merge into UVRSI and I think is powerful.
Is a way to apply price action theories into the RSI itself
A green cloud will appear when the indicator is bullish, or red if is bearish, it let you see when the UvRSI is kinda of exhausted by plotting a yellow apex above or below the main cloud, indicating that we are out the most latest traded areas, it suggest a possible change of direction or trend.
The indicator includes settings to change anything from the RSI to the Cloud to the Stoch to the WMA used to adapt it to any style of tradin g you prefer, I did use it andI do still prefer it over the normal RSI we are all used to since IMHO I was able to archieve a cleaner version of possible signal given by the indicator
MTF Smart Money ConceptsOverview
This indicator displays major elements of Smart Money Concepts and price action trading with multi-timeframes(MTF) and layered market structures with color visualization.
What is Smart Money Concepts?
Smart Money Concepts(SMC) is one of the methodologies to interpret how financial market moves and to analyze it and execute trades, focusing on liquidity and order flow of financial institutions.
Smart money means the funds invested by large financial institutions such as banks, institutional traders/investors, market makers, hedge funds etc. contrary to retail traders/investors' money.
It is important to note that there is no proof or evidence that those institutions move the market as described in Smart Money Concepts.
Personally speaking, it is one of the interpretation of the market and another angle to view the market just like other technical analysis methodologies such as Elliott Wave Principle, Gann Theory, Wyckoff Method and even traditional price action trading.
Importance of MTF Analysis
MTF analysis(a.k.a Topdown analysis) is the foundation to technically analyze charts and the most fundamental skill in trading because lower timeframes are always influenced by upper timeframes where large financial institutions operate.
How to use
This indicator is designed to help traders analyze how the market moves in terms of SMC and price action with multi-timeframes and color visualization of the market structures, which makes this indicator unique and different from other indicators.
There is two key settings that you can use based on your trading style.
1.Upper timeframe selection
You have two options to determine upper timeframe; Auto mode and Manual mode.
When Auto mode selected, upper timeframe will be determined based on chart timeframe as follows.
Chart timeframe => Upper timeframe
1M=>15M
5M/15M=>1H
30M/1H=>4H
4H=>D
D=>W
W=>M
If you select Manual mode, you can fix an upper timeframe.
2.High/low settings
This affects all other settings of the indicator and most importantly designs the market structure.
This is the key setting to determine how you view the market as price action trading is all about highs and lows and story of how highs and lows have been created with the market structure.
You can specify left bars and right bars to identify swing highs/lows and these highs/lows become the basis to design the market structure and determine how SMC elements are displayed.
Example:
Left bar&right bar: 10
You can see bigger wave(magenta line) in the market structure(stepped line).
(Magenta line is a drawn object by manual)
Left bar&right bar: 4
With this setting, you can see smaller wave in the market structure.
Since market moves like wave as there is a lot of wave theories in financial investment/trading industry such as Elliott wave, Wolf wave etc., users can define market structure with this setting depending on what degree of wave they aim to trade.
Functions:
MTF Order Block
Concept
Order block is a block of orders where buying orders and selling orders are accumulated. Order blocks are created when the institutions move the market up and down, temporality placing orders in an opposite direction to the way they want to move, in order to match their own orders with counter-orders.
Visualization by the indicator
The indicator displays both chart timeframe's order blocks and upper timeframe's order blocks(MTF).
You can also select from two options how to display order blocks;
1. Show all order blocks
2. Show strong order blocks only
Note: Strong order blocks mean order blocks created at strong highs/lows. See also strong high/low below.
Alerts can be set when prices reach strong order blocks.
MTF Fair Value Gap(FVG)/Imbalance
Concept
Fair Value Gap(FVG)(Imbalance) is a void generated among three consecutive candlesticks.
FVG(s) is created when the market moves so rapidly generating buy side or sell side order imbalances.
FVG(s) is characterized by price action that prices tend to come back to the area where FVG(s) exists, filling in the space among the candlesticks.
Visualization by the indicator
The indicator displays both chart timeframe's FVG and upper timeframe's FVG.
MTF Liquidity Grab
Concept
Liquidity grab is price action to sweep liquidity for the institutions to move the market.
This price action often happens because the size of their orders is so huge and they need a bunch of counter-orders to match their orders. This is why prices sometimes come to areas where liquidity rest and swipe them before the market goes up/down.
Liquidity visualization
Where does liquidity rest?
The answer is above highs(buy side liquidity) and below lows(sell side liquidity).
Among all highs and lows, swing highs and lows are where liquidity is accumulated the most because swing highs and lows can be created only by the institutions, therefore massive liquidity is indicated.
Visualization by the indicator
The indicator displays liquidity dots so that users can easily identify where liquidity rests and liquidity grab of both a chart timeframe and an upper timeframe.
Alerts can be set when liquidity grab happens.
MTF Strong High/Low
Concept
Strong high/low literally means strong highs and lows among all highs and lows including swing highs and lows.
There is a few different definitions of strong high/low in price action trading and the definition in this indicator is as follows.
Strong high
A high that that breaks higher low or lower low
Strong low
A low that breaks lower high or higher high
Visualization by the indicator
The indicator displays strong highs and lows of both a chart timeframe and an upper timeframe.
MTF Market Structure Visualization
Concept
Market structure is a series of price movement with highs and lows which outlines the way the market directs. It is a basis to see trend occurrence, trend reversal and sideways and analyzing the market structures in multi-timeframes is the most fundamental technical skill in trading/investment.
Visualization by the indicator
The indicator displays market structures of both a chart timeframe and an upper timeframe and provide color visualization depending on bullish and bearish market structures.
The definition of bullish and bearish market structure is as follows.
Bullish market structure
When a price breaks a Lower High or Higher High
Bearish market structure
When a price breaks a Higher Low or Lower Low
Settings
All the functions above, colors and line settings are parameterized and can be turned on/off depending on users’ needs.
———————————————————————————
概要
Smart Money Concepts(SMC)およびプライスアクショントレードにおける重要な要素をマルチタイムフレームで表示することのできるインジケーターです。
相場構造(Market structure)をマルチタイムフレームで表示し、相場構造の強弱を色で可視化することができます。
Smart Money Concepts(スマートマネーコンセプト)とは？
Smart Money Concepts(以下SMC) は金融市場がどのように動くかを解釈し、分析し、取引を執行するための相場理論の一つであり、Liquidity(リクイディティ)および機関投資家のオーダーフロー(注文の流れ)に焦点を置いていることが特徴です。
Smart Money(スマートマネー)とは、銀行や機関投資家、マーケットメーカー、ヘッジファンドといった金融機関が動かす資金を意味し、個人投資家の資金と対をなす概念です。
重要な点は、実際に上記の金融機関がSmart Money Conceptsで語られているような相場の動かし方をしているかどうかを証明する明確なエビデンスはないということです。
個人的には、エリオット波動理論やギャン理論、ワイコフ理論、伝統的なプライスアクショントレーディングの方法論と同様に、マーケットの動きを解釈するための一つの方法論であり、マーケットの動きを別の角度から見る枠組みと捉えています。
マルチタイムフレーム(MTF)分析の重要性
MTF分析はチャートをテクニカルに分析する上での基礎であり、トレードにおいて最も重要なスキルです。なぜなら下位のタイムフレームは上記のような金融機関が資金運用を行う上位のタイムフレームの影響を常に受けるためです。
使い方
このインジケーターは、SMCまたはプライスアクショントレードの観点から、トレーダーがマーケットをマルチタイムフレームで分析することを支援するために開発しています。
相場構造(Market structure/マーケットストラクチャー)を方向性に応じて色で可視化することができるため、視覚的に相場の構造を判断できることがこのインジケータのユニークな点であり、他のインジケーターと異なる点です。
ユーザーのトレードスタイルに応じて、以下の二つの設定を行うことができます。
1.上位足の決定方法
ユーザーは上位足のタイムフレームを決定するにあたり、AutoモードとManualモードを選択することができます。
Autoモードを選択した場合、上位足はチャートのタイムフレームに応じて以下のように決定されます。
チャートタイムフレーム => 上位足タイムフレーム
1M=>15M
5M/15M=>1H
30M/1H=>4H
4H=>D
D=>W
W=>M
Manualモードを選択すると上位足のタイムフレームを固定することができます。
2.High/low(高値/安値) 設定
当設定はインジケーターの他の全ての機能に影響し、また最も重要である相場構造の定義に影響します。
当設定はユーザーがマーケットをどのように見るか(=どの程度の粒度)を決定する重要な設定です。なぜならプライスアクショントレードは、高値、安値とそれらが相場構造をどのように構築してきたかの一連の流れを分析することが全てだからです。
ユーザーは相場構造を決定付けるスイングハイ·スイングローを特定するためのバーの本数を設定することができます。ここで設定した内容が、相場構造を定義し、以下で説明するSMCの要素の表示を決定することになります。
例:
Left bar&right bar(左右のバーの数): 10
この場合、ステップラインで示した相場構造の中に大きな波(マゼンタの波)を見ることができます。
(マゼンタのラインは手動で描いたオブジェクト)
Left bar&right bar: 4
この設定では、上記に比べて小さい波を描いていることが確認できます。
相場理論の中にエリオット波動理論やウォルフ波動といった数多くの波動理論があることからわかるように、相場は波として動きます。どの粒度の波を狙うかというトレーダーのスタイルに応じて、設定を変更することができます。
機能
MTFオーダーブロック
コンセプト
オーダーブロックとは買い注文と売り注文が一連となって蓄積されたオーダー(注文)のブロックのことです。
オーダーブロックは機関投資家が相場を動かす際に、本来意図する方向とは一時的に逆に動かすことで、彼ら自身の注文をマッチングさせるための反対注文を発生させることで形成されます。
インジケーターによる表示
インジケーターはチャートタイムフレームのオーダーブロックと上位足のオーダーブロックの両方を表示することができます。
また、オーダーブロックの表示オプションとして、
1.全てのオーダーブロックを表示
2.Strong(ストロング)オーダーブロックのみを表示
を選択することが可能です。
注: StrongオーダーブロックはStrong High/Lowで形成されるオーダーブロックを指します。(下記参照)
また、オーダーブロック到達でのアラート設定も可能です。
MTFフェアーバリューギャップ(FVG)/インバランス
コンセプト
フェアーバリューギャップ(FVG)/インバランスとは連続する3つのローソク足の間に形成される溝(Gap)のことです。
フェアーバリューギャップはマーケットが非常に早く動いたことにより、買いオーダーと売りオーダーの需給バランスが崩れることによって発生します。
フェアーバリューギャップには、価格がフェアーバリューギャップが発生したエリアまで戻ってくる傾向があるという特徴が存在します。
インジケーターによる表示
インジケーターはチャートタイムフレームのフェアーバリューギャップと上位足のフェアーバリューギャップの両方を表示することができます。
MTF Liquidity Grab(リクイディティ·グラブ)
コンセプト
Liquidity(リクイディティ)とはマネー、つまり注文です。
Liquidity Grab(リクイディティ·グラブ)とは、機関投資家がマーケットを動かす際にLiquidityを取得するプライスアクションのことを指します。
このプライスアクションは、機関投資家が処理する注文サイズが非常に大きいため、自身の注文を出す際に大量の反対注文を必要とすることからしばしば発生します。
これが、価格がLiquidity(注文)の集まっているエリアに接近し、それら注文をスワイプ(狩り取る)した後に上昇·下落する理由です。
Liquidityの可視化
一般的にLiquidityは高値の上(buy side liquidity)、安値の下(sell side liquidity)に存在します。
全ての高値·安値の中で、スイングハイ·ローがliquidityが最も蓄積されているエリアということができます。なぜならスイングハイ·ローは機関投資家の注文によってのみ形成されるからです。
インジケーターによる表示
ユーザーがLiquidityポイントを簡単に識別できるようにLiquidityをドット表示することが可能です。またチャートタイムフレームと上位足の両方のLiquidity Grabを表示することができます。
Liquidity Grab発生時にアラートも設定可能です。
MTF Strong High/Low(ストロングハイ·ロー)
コンセプト
Strong high/lowは文字通り、強い高値·安値のことを指します。
トレーダーの間でいくつかの異なる定義が存在しますが、当インジケーターでの定義は以下の通りです。
Strong high
Higher low(ハイアーロー) または Lower low(ロワーロー)をブレイクした高値
Strong low
Lower higher (ロワーハイ) または Higher High(ハイアーハイ)をブレイクした安値
インジケーターによる表示
チャートタイムフレーム、上位足のStrong High/Lowを表示することが可能です。
相場構造可視化
コンセプト
相場構造(Market structure/マーケットストラクチャー)とは、相場の流れを成り立たせる高値と安値を元にした一連の値動きです。建物における骨組みに該当します。
トレンドの発生、転換、レンジを見極めるための基礎であり、マルチタイムフレームで相場構造を分析することは、投資·トレードにおいて最も重要なテクニカルスキルです。
インジケーターによる表示
チャートタイムフレームと上位足タイムフレーム両方の相場構造を表示することができます。
また、相場構造が強気の状態か弱気の状態かを色で可視化するため、上位足含めた相場の流れを視覚的に判断することが可能です。
相場構造の強弱の定義は以下の通りです。
強気の相場構造(Bullish market structure)
価格がLower HighまたはHigher Highをブレイクしたとき
弱気の相場構造(Bearish market structure)
価格がHigher LowまたはLower Lowをブレイクしたとき
設定
上記の全ての機能は色やライン設定含めパラメーターで設定が可能です。またユーザの必要に応じて表示·非表示を切り替えることができます。
MA Slope : New Method1 . Introduction
Hello, traders.
This indicator is designed to measure the slope of a moving average line.
I imagine many of you who use Pine Script have struggled with this; measuring the slope of a moving average line can be quite challenging.
Firstly, this is because while the x-axis is fixed to the 'number of candles', the price scale on the y-axis can be adjusted freely.
Secondly, while the concept of differentiation could simplify the measurement process, the resulting value will differ from the conventional derivative we are familiar with since 'delta x' is fixed to '1'.
Consequently, I've put a lot of thought into how to configure the x-axis and y-axis in order to measure a slope that aligns with our perception of 'slope'.
After some reflection, I, like many others, realized that many people measure the slope based on the pivot of the moving average line.
This indicator is the product of that reflection.
2. Description
A. Setting
First, select the moving average line for which you want to check the slope. While SMA is commonly used, T3 is set as the default because it best visualizes the slope.
If you check 'Show MA Slope Average Pivot Range?' in the input window, it displays the average of the recent 30 slope pivot highs and pivot lows.
In other words, it shows 'On average, this level of slope was produced in the recent 30 waves.'
B. Usage
A cross from 0 in the slope indicates a 'reversal in the slope of the curve', which is the most crucial value when observing the slope.
Thus, fundamentally, it's important to look at the points where the slope becomes "0". Furthermore, when the slope starts to curve after rising, it signifies a change in acceleration, suggesting an imminent slope reversal.
(Note that acceleration was omitted from the indicator representation due to its tendency to overly complicate the data.)
While a shorter length of the moving average line may provide more useful slope data for actual trading, a less smooth moving average line may cross around 0 too often, making it less useful.
Therefore, it's crucial to adjust the 'Smoothing Length' in the input values to find a value that you believe is appropriate.
3. Conclusion
I always contemplate how to find a value in Pine Script that is similar to the perceived slope.
I made this script thinking that it might be a novel approach, but there are still many areas that need improvement.
If you have any innovative ideas about the slope, please feel free to provide feedback anytime.
Thank you.
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1. 서론
트레이더 여러분 안녕하세요. 이 지표는 이동평균선의 기울기를 측정하는 지표입니다.
아마 파인스크립트를 다루는 많은 분들이 같은 고민을 하셨을 것 같은데, 이동평균선의 기울기를 측정하는 것은 매우 어렵습니다.
그 이유로 첫번째는 x축은 '캔들 갯수'로 고정되어있는 반면, y축의 가격 스케일은 유동적으로 바꿀 수 있기 때문입니다.
두번째로는, 미분 개념을 이용하면 훨씬 수월하게 구할 수 있을테지만, 델타x가 '1'로 고정되어있기 때문에 우리가 알고있는 미분과 다른 값이 나옵니다.
따라서 x축과 y축을 어떻게 하면 실제 우리가 인식하는 '기울기'에 가깝도록 구성할 수 있을지에 대해 고민해보았습니다.
고민해본 결과 저 역시 그러하고, 많은 사람들이 이동평균선의 피벗을 기준으로 기울기를 측정한다는 사실을 알게되었습니다.
이 지표는 그 고민의 결과물입니다.
2. 내용 설명
A. 셋팅
먼저, 기울기를 확인하고싶은 이동평균선을 선택해주세요.
일반적으로 SMA를 많이 보시겠지만, T3가 기울기로 표현할 때 가장 아름다운 모습이 나오기 때문에 기본 설정을 T3로 설정했습니다.
Input창에 있는 'Show MA Slope Average Pivot Range?'를 체크하면, 최근 30개의 기울기 피벗 하이와 피벗 로우의 평균을 보여줍니다.
즉, '평균적으로, 최근 30개의 파동에서는 이 정도의 기울기가 만들어졌다'라는 것을 보여줍니다
B. 사용법
기울기가 0에서 크로스 된다는 것은, "곡선의 기울기가 반전"된다는 것이기에 기울기를 봄에 있어서 가장 중요한 값입니다. 따라서 가장 기본적으로는, 기울기가 "0"이 되는 곳을 보는 것이 중요하고
또 기울기가 올라갔다 꺾이기 시작할 때는, 가속도가 바뀌고 있다는 뜻이므로, 곧 기울기가 반전될 것을 의미합니다.
(다만 가속도를 지표로 표현하기엔, 너무나도 데이터가 지저분해져서 생략하였습니다)
이동평균선의 길이를 짧게 할수록 더 실제 트레이딩에 유용한 기울기 데이터를 얻을 수 있으나,
부드럽지 못한 이동평균선은 기울기가 0 근처에서 크로스 되는 모습이 지나치게 많이 나올 것이기에 유용하지 않을 수 있습니다.
따라서, input값에 있는 'Smoothing Length'를 조절해가면서 자신이 생각하기에 맞는 값을 고르는 것이 중요합니다.
3. 맺음말
파인스크립트에서 어떻게하면 실제 인식하는 기울기와 유사한 값을 찾을 수 있을까를 항상 고민합니다. 나름 새로운 접근방법이라 생각해서 이렇게 스크립트로 만들었으나, 여전히 아쉬운 부분이 많이 존재합니다.
기울기에 대한 좋은 아이디어가 있다면 언제든 피드백 해주세요.
감사합니다.
nNouSignnNouSign
☆
Welcome to a path to trading success in the world of trading, where fortunes are made and dreams come true.
But amidst the excitement and possibilities, there lies the challenge of deciphering the market's complexities.
Fear not, for we present to you the ultimate weapon in your trading arsenal: the nNouSign indicator.
Prepare to embark on a thrilling journey of trading mastery as we guide you through its optimal usage, enlightening you with its potential and empowering you with the ability to navigate the markets with confidence.
Embracing the nNouSign magic as you apply the nNouSign indicator to your TradingView chart, envision a realm where the convergence of art and science births incredible trading opportunities.
• The indicator's smooth moving average line, represented by a vibrant orange hue, acts as your guiding light. It captures the essence of market sentiment and unveils the hidden patterns that govern price movements.
Decoding the colors of success, possess a mystical power to evoke emotions and ignite motivation . The nNouSign indicator harnesses this power, allowing you to personalize your trading experience.
• Choose the color of prosperity for your buy signals, perhaps a vivid shade of green. Let it symbolize the life-giving force of profits flowing into your trading account.
• As for sell signals, embrace the passionate intensity of red, signifying your ability to seize opportunities and protect your gains.
Riding the trend waves is one of the nNouSign indicator's core strengths. It lies in its ability to identify trends.
Whether the market surges upwards like a fearless tide or recedes like a wise old ocean, the indicator whispers the secrets of trend direction.
• When the moving average is conquered by the closing price, rejoice, for it signals a bullish trend.
• Conversely, when the closing price descends beneath the moving average, it reveals a bearish trend.
Harmonizing with the trading signals which are the magical spells that teleport you to the forefront of profitable trades.
Watch as the nNouSign indicator casts its spells in the form of tiny triangles on your chart.
• When a bullish trend is confirmed, a mystical triangle points upwards, signaling a buy opportunity.
• On the contrary, when a bearish trend emerges, a bewitching triangle points downwards, beckoning you to sell.
Embrace these signals and let them guide your path to success.
Unleashing the power of alerts like the modern trader(s) whom thrives on speed and efficiency.
The nNouSign indicator empowers you with its alert system , ensuring you never miss a precious trading moment.
• Customize your alerts to receive notifications when the bullish or bearish trends are confirmed.
Imagine the thrill of being the first to seize an opportunity, swiftly executing trades with confidence, and reaping the rewards.
Dance with the trendline as you journey through the market's ebb and flow, through the nNouSign indicator its visual masterpiece.
Behold the trendline , gracefully drawn on your chart.
• In the presence of a bullish trend, it steps aside, allowing the moving average to shine brightly.
• Yet, in the depths of a bearish trend, it emerges, painted in shades of red, serving as a reminder to exercise caution.
Let this visual spectacle guide your decision-making process.
☆
Intrepid trader! ,may you now have unlocked the secrets of the nNouSign indicator and embark on a journey that will forever transform your trading experience.
Armed with its wisdom and most importantly YOUR OWN WISDOM, may you possess the ability to navigate the markets with confidence and precision.
Embrace its vibrant colors, heed its trading signals and dance with the trendline as you ride the waves of market trends. Let the indicator be your constant companion, guiding you through the ever-changing tides of the financial world.
Remember, trading is not just a science; it is an art. The nNouSign indicator provides you with the tools to create your masterpiece.
Embrace its colors, for they evoke the emotions and motivation necessary for success.
Let the green of buy signals ignite your passion for profit, and the red of sell signals fuel your determination to protect your gains.
But trading is more than just following signals; it requires discipline and adaptability.
Observe the trendlines and understand the market's rhythm.
Be patient when the trend favors the bulls, and exercise cautio n when the bears take control.
The nNouSign indicator, with its magical trendline, will be your compass in navigating these changing conditions.
In the fast-paced world of trading, timing is everything. The alerts generated by the nNouSign indicator will keep you informed, ensuring you never miss an opportunity.
Stay alert, for swift and decisive action can be the key to reaping substantial rewards.
☆
Finally, remember that trading is a journey of growth and learning.
Embrace the educational aspect of using the
nNouSign indicator.
Analyze your trades, study the outcomes, and fine-tune your strategies.
With each trade , you'll gain valuable insights and develop the skills necessary for long-term success .
☆
So, fellow trader, take this guide as your roadmap to trading mastery.
Let the nNouSign indicator be your guide, entertaining you with its vibrant colors, motivating you with its signals, and educating you through each trading experience.
Embrace the power it bestows upon you, and let it unleash your full potential in the exciting world of trading.
Success awaits those who dare to seize it!
-HappyTrading- J
Prime Oscillators Pro [ChartPrime]The Prime Oscillators Pro suite provides two unique oscillators that provide useful insights on divergences, overbought and over sold conditions, momentum reversals, confluence alerts, amongst a myriad of other features.
The Trend Fusion Oscillator
This oscillator uses an amalgamation of price and volume to give market participants useful insight into possible future price action. It is designed in the format of a classical oscillator to be recogniseable and have a easy learning curve.
The main features of the Trend Fusion Oscillator:
Trend mode: The price volume oscillator uses an adaptive calculation to signify when price is entering a downtrend or and uptrend. When the price volume oscillator intersects with the adaptive plot the color of the price volume band will change to signify an uptrend or a down trend. This is easy to interpret with red signifying a down trend and green signifying an uptrend.
Oversold or overbought conditions: A reasonable range calculation was implemented and normalized in order to extrapolate areas of overbought an oversold conditions.
Divergences: When the price volume oscillator ribbon peaks and valleys are diverging with price action a thin line will connect the two diverging peaks or vallyes to indicate to market participants that there is a higher probability of a reversal. Divergences can be used in a classical fashion for trading.
Areas of reversal: These signals incorporate an algorithm that takes the median length of the assets trends, average true range, price deviation, volatility, and gap conditions, to signal areas with high a probability of reversal.
Main Settings
Oscillator Mode: Select the desired type of oscillator via this dropdown
Bands On/Off: Display deviation bands on the oscillators
Bearish Divergences On/Off: Allow for toggling of bearish divergences
Hidden Bearish Divergences On/Off: Allow for toggling of hidden bearish divergences
Bullish Divergences On/Off: Allow for toggling of bullish divergences
Hidden Bullish Divergences On/Off: Allow for toggling of bullish divergences
Max disatance between points: Input to adjust the distances between divergences in terms of candles
Use cases
The Trend Fusion Oscillator can be used in a simple fashion using the red/green waves to idenfity market direction. Using the waves of the market, a trader can filter other indicators and build confluence. This can also apply to contrarian logic. Divergences and oversold/bought levels can be used in confluence with other factors such as classical SR or other user selected indicators.
The Prime oscillator
Reversal signals: These are in essence a contrarian signal predicting the reversal of the market and the oscillator.
The peak seekers are blue dots that analyse multiple indicators to deduce more accurate and confluence within divergences. Settings here are auto optimised depending on the user selected timeframe.
The momentum ribbon analyses market volatility and produces an actionable ribbon on which other calculations are deduced. When it twists it can indicate a shift in the trend.
Divergences are calculated so the indicator can catch the maxmimum number of divergences in order to avoid possible reversals being missed by the trader.
Risk Disclaimer
All content and developments created by ChartPrime are purely for informational & educational purposes only. Past performance does not guarantee future results.
Hani angle support and resistanceBy examining the intersections of the average price in the past, this indicator identifies points as support and resistance, according to which it determines a diagonal line to the last average price in the future.
As you can see in the picture, these points are more important than floors and ceilings, and they can be cited more
According to the 360-period cycles of the market, it has the best performance
In this indicator, there are two lines that show the average price in different periods.
Ingulf candles and the pattern of three return candles are used for the signal
In the scalp model, the pattern of three consecutive candles and one engulfing candle is used
In the model of circles, Engulfing candle is also used according to algo
By default, this stop loss calculation is twice the size of the signal candle, which you can change according to the type of transaction.
Enter the amount of your balance and change the amount of contract size according to the currency
For example, the contract size is Bitcoin (1) and the contract size is EURUSD (100,000) and XAUUSD (100) and enter the amount of risk in each transaction.
At the time of the signal, you will see the exact size required to enter the transaction (not including the commission, because each exchange has a different commission and a different spread).
For a better view of the market, you can pay special attention to the distance and angle of the two lines.
Support and resistance lines are continuously displayed for 500 candles to be considered in the future of the market
This indicator requires basic knowledge of candlestick and it is better for the trader to make the final decision according to the market situation. However, an alarm has also been set that sends the stop loss amount for use in the web hook.
The price at the moment of the signal is also alarmed for comparison so that the signal can be compared at the time of the alarm.
The size of the ATR band is used to measure the wave if the waves are large enough to send cleaner signals.
The green label: distance between the last intersection and the average price.
The yellow label: distance between two periods of the average price
White label: lot size to enter the market
pink label: ATR size
Range of a source displayed in thirdsThis indicator will take the value of any external source input and display how it has changed over time (the lookback period in settings). For the purposes of display here I'm using the WT1 line from Wavetrend with Crosses by LazyBear to provide a source input.
The highest and lowest value of the source over the lookback period are used to determine the highest and lowest point - the green and red lines at the top and bottom of the bands. This region is then mathematically split into three, such that the source (and its optional moving average line) can be defined as being in the top third, the middle or the bottom third.
Applications for this could be in risk management where you may wish to take on a larger position size when a certain indicator is in the top third, or decide that you want to enter / leave positions when the source crosses in / out of the extreme points.
Variety MA Cluster Filter Crosses [Loxx]What is a Cluster Filter?
One of the approaches to determining a useful signal (trend) in stream data. Small filtering (smoothing) tests applied to market quotes demonstrate the potential for creating non-lagging digital filters (indicators) that are not redrawn on the last bars.
Standard Approach
This approach is based on classical time series smoothing methods. There are lots of articles devoted to this subject both on this and other websites. The results are also classical:
1. The changes in trends are displayed with latency;
2. Better indicator (digital filter) response achieved at the expense of smoothing quality decrease;
3. Attempts to implement non-lagging indicators lead to redrawing on the last samples (bars).
And whereas traders have learned to cope with these things using persistence of economic processes and other tricks, this would be unacceptable in evaluating real-time experimental data, e.g. when testing aerostructures.
The Main Problem
It is a known fact that the majority of trading systems stop performing with the course of time, and that the indicators are only indicative over certain intervals. This can easily be explained: market quotes are not stationary. The definition of a stationary process is available in Wikipedia:
A stationary process is a stochastic process whose joint probability distribution does not change when shifted in time.
Judging by this definition, methods of analysis of stationary time series are not applicable in technical analysis. And this is understandable. A skillful market-maker entering the market will mess up all the calculations we may have made prior to that with regard to parameters of a known series of market quotes.
Even though this seems obvious, a lot of indicators are based on the theory of stationary time series analysis. Examples of such indicators are moving averages and their modifications. However, there are some attempts to create adaptive indicators. They are supposed to take into account non-stationarity of market quotes to some extent, yet they do not seem to work wonders. The attempts to "punish" the market-maker using the currently known methods of analysis of non-stationary series (wavelets, empirical modes and others) are not successful either. It looks like a certain key factor is constantly being ignored or unidentified.
The main reason for this is that the methods used are not designed for working with stream data. All (or almost all) of them were developed for analysis of the already known or, speaking in terms of technical analysis, historical data. These methods are convenient, e.g., in geophysics: you feel the earthquake, get a seismogram and then analyze it for few months. In other words, these methods are appropriate where uncertainties arising at the ends of a time series in the course of filtering affect the end result.
When analyzing experimental stream data or market quotes, we are focused on the most recent data received, rather than history. These are data that cannot be dealt with using classical algorithms.
Cluster Filter
Cluster filter is a set of digital filters approximating the initial sequence. Cluster filters should not be confused with cluster indicators.
Cluster filters are convenient when analyzing non-stationary time series in real time, in other words, stream data. It means that these filters are of principal interest not for smoothing the already known time series values, but for getting the most probable smoothed values of the new data received in real time.
Unlike various decomposition methods or simply filters of desired frequency, cluster filters create a composition or a fan of probable values of initial series which are further analyzed for approximation of the initial sequence. The input sequence acts more as a reference than the target of the analysis. The main analysis concerns values calculated by a set of filters after processing the data received.
In the general case, every filter included in the cluster has its own individual characteristics and is not related to others in any way. These filters are sometimes customized for the analysis of a stationary time series of their own which describes individual properties of the initial non-stationary time series. In the simplest case, if the initial non-stationary series changes its parameters, the filters "switch" over. Thus, a cluster filter tracks real time changes in characteristics.
Cluster Filter Design Procedure
Any cluster filter can be designed in three steps:
1. The first step is usually the most difficult one but this is where probabilistic models of stream data received are formed. The number of these models can be arbitrary large. They are not always related to physical processes that affect the approximable data. The more precisely models describe the approximable sequence, the higher the probability to get a non-lagging cluster filter.
2. At the second step, one or more digital filters are created for each model. The most general condition for joining filters together in a cluster is that they belong to the models describing the approximable sequence.
3. So, we can have one or more filters in a cluster. Consequently, with each new sample we have the sample value and one or more filter values. Thus, with each sample we have a vector or artificial noise made up of several (minimum two) values. All we need to do now is to select the most appropriate value.
An Example of a Simple Cluster Filter
For illustration, we will implement a simple cluster filter corresponding to the above diagram, using market quotes as input sequence. You can simply use closing prices of any time frame.
1. Model description. We will proceed on the assumption that:
The aproximate sequence is non-stationary, i.e. its characteristics tend to change with the course of time.
The closing price of a bar is not the actual bar price. In other words, the registered closing price of a bar is one of the noise movements, like other price movements on that bar.
The actual price or the actual value of the approximable sequence is between the closing price of the current bar and the closing price of the previous bar.
The approximable sequence tends to maintain its direction. That is, if it was growing on the previous bar, it will tend to keep on growing on the current bar.
2. Selecting digital filters. For the sake of simplicity, we take two filters:
The first filter will be a variety filter calculated based on the last closing prices using the slow period. I believe this fits well in the third assumption we specified for our model.
Since we have a non-stationary filter, we will try to also use an additional filter that will hopefully facilitate to identify changes in characteristics of the time series. I've chosen a variety filter using the fast period.
3. Selecting the appropriate value for the cluster filter.
So, with each new sample we will have the sample value (closing price), as well as the value of MA and fast filter. The closing price will be ignored according to the second assumption specified for our model. Further, we select the МА or ЕМА value based on the last assumption, i.e. maintaining trend direction:
For an uptrend, i.e. CF(i-1)>CF(i-2), we select one of the following four variants:
if CF(i-1)fastfilter(i), then CF(i)=slowfilter(i);
if CF(i-1)>slowfilter(i) and CF(i-1)slowfilter(i) and CF(i-1)>fastfilter(i), then CF(i)=MAX(slowfilter(i),fastfilter(i)).
For a downtrend, i.e. CF(i-1)slowfilter(i) and CF(i-1)>fastfilter(i), then CF(i)=MAX(slowfilter(i),fastfilter(i));
if CF(i-1)>slowfilter(i) and CF(i-1)fastfilter(i), then CF(i)=fastfilter(i);
if CF(i-1)<slowfilter(i) and CF(i-1)<fastfilter(i), then CF(i)=MIN(slowfilter(i),fastfilter(i)).
Where:
CF(i) – value of the cluster filter on the current bar;
CF(i-1) and CF(i-2) – values of the cluster filter on the previous bars;
slowfilter(i) – value of the slow filter
fastfilter(i) – value of the fast filter
MIN – the minimum value;
MAX – the maximum value;
What is Variety MA Cluster Filter Crosses?
For this indicator we calculate a fast and slow filter of the same filter and then we run a cluster filter between the fast and slow filter outputs to detect areas of chop/noise. The output is the uptrend is denoted by green color, downtrend by red color, and chop/noise/no-trade zone by white color. As a trader, you'll likely want to avoid trading during areas of chop/noise so you'll want to avoid trading when the color turns white.
Extras
Bar coloring
Alerts
Loxx's Expanded Source Types, see here:
Loxx's Moving Averages, see here:
An example of filtered chop, see the yellow circles. The cluster filter identifies chop zones so you don't get stuck in a sideways market.
MATHR3E RETRACEMENTS█ OVERVIEW
MATHR3E Retracements automatically draws upward and downward price projection levels based on Fibonacci ratios and a retracement methodology.
█ CONCEPTS
Disclaimer
MATHR3E RETRACEMENTS indicator is intended for advanced traders and may fit your profile, whether you are a day trader or a long-term investor.
It was originally developed by a renowned market analyst and documented in numerous books. Among them is the author Jason Perl.
It is recommended to have read the trading techniques mentioned in the books covering this indicator beforehand.
How to use:
Two kinds of retracement are available:
Regular retracement:
Once a price thrust is identified and a recent exhaustion is formed, Regular retracements can be applied.
The indicator will automatically draw price projection levels based on these Fibonacci ratios: 38.2%, 61.8% and so on.
These levels then help to identify areas of support and resistance in response to the initial price thrust.
Antipodal retracement:
After an all-time record high / low is located, Price projections are applied by the indicator:
• From an ATH the figure is multiplied by both 0.618 and 0.382 to arrive at downside price projection levels.
• From an ATL the figure is multiplied by both 1.382 and 1.618 to arrive at upside price projection levels.
█ FEATURES & BENEFITS
Versatile
The indicator is designed to work with other indicators by the same author, including the identification of exhaustion points.
It will then make it easier to identify scaled profit taking levels that are based on Fibonacci levels.
This indicator can be applied to any market or time frame.
Retracement methodology
It differs slightly from the original in the process of identifying the reference low/high points referred as Magnet Price.
While the original determines when the market last traded above the reference low/high, this indicator instead relies on a process of selecting the last confirmed Magnet.
The qualification combines a reference price with the last requirement for wave A, i.e. an eight-bar-high (customizable) reference price, from the Waves indicator by the same author.
Since the process of selecting magnet points is different, this leads to retracement lines that remain closer to the price as trends unfold.
Similar to LINES indicator, this indicator automatically analyzes the price action around these levels to Confirm/Invalid breakouts and deliver signals for trend following.
Qualifiers
Qualifiers/Disqualifiers will then be used to assess whether a trend reversal is coming or whether the previous trend is likely to resume.
Fully Customizable
Especially when selecting magnet levels.
Customizable Fibonacci levels for Regular and Antipodal retracements
Alerts
Alerts format can be adapted to be received on Discord servers.
Set up your alerts and get notified on:
• Confirmed Break signal
• Invalidated signal
GKD-C Trading Channel Index [Loxx]Giga Kaleidoscope Trading Channel Index 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 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.
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 as shown on the chart above
Volatility/Volume: Average Directional Index (ADX) as shown on the chart above
Confirmation 1: Trading Channel Index as shown on the chart above
Confirmation 2: Jurik Turning Point Oscillator
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
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
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
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ Trading Channel Index
What is Trading Channel Index
The Trading Channel Index measures the location of average daily price relative to a smoothed average of average daily price. It is derived from the average difference between these two values.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Continuation: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Additional features will be added in future releases.
This indicator is only available to ALGX Trading VIP group members . You can see the Author's Instructions below to get more information on how to get access.
RSI Overbought/Oversold + Divergence IndicatorDESCRIPTION:
This script combines the Relative Strength Index ( RSI ), Moving Average and Divergence indicator to make a better decision when to enter or exit a trade.
- The Moving Average line (MA) has been made hidden by default but enhanced with an RSIMA cloud.
- When the RSI is above the selected MA it turns into green and when the RSI is below the select MA it turns into red.
- When the RSI is moving into the Overbought or Oversold area, some highlighted areas will appear.
- When some divergences or hidden divergences are detected an extra indication will be highlighted.
- When the divergence appear in the Overbought or Oversold area the more weight it give to make a decision.
- The same color pallet has been used as the default candlestick colors so it looks familiar.
HOW TO USE:
The prerequisite is that we have some knowledge about the Elliot Wave Theory, the Fibonacci Retracement and the Fibonacci Extension tools.
Wave 1
(1) When we receive some buy signals we wait until we receive some extra indications.
(2) On the RSI Overbought/Oversold + Divergence Indicator we can see a Bullish Divergence and our RSI is changing from red to green ( RSI is higher then the MA).
(3) If we are getting here into the trade then we need to use a stop loss. We put our stop loss 1 a 2 pips just below the lowest wick. We also invest maximum 50% of the total amount we want to invest.
Wave 2
(4) Now we wait until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we do our second buy. We set again a stop loss just below the lowest wick (this is the yellow line on the chart). We also move the stop loss we have set in step (3) to this level.
Wave 3
(5) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1) and draw it back to the lowest point of wave (2). Wave (3) is most of the time the longest wave and can go till it has reached the 1.618 or 2.618 fib. On the 1.618 we can take some profit. If we don't want to sell we move our stop loss to the 1 fib line (yellow line on the chart).
(6) We wait until we see a clear reversal on the Overbought/Oversold + Divergence Indicator and sell 33% to 50% of our investment.
Wave 4
(7) Now we wait again until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we buy again. We set again a stop loss just below the lowest wick (this is the yellow line on the chart).
(8) If we bought at the first reversal ours stop los was triggered (9) and we got out of the trade.
(9) If we did not bought at step (7) because our candle did not hit the 0.618 fib or we got stopped out of the trade we buy again at the reversal.
Wave 5
(10) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3) and draw it back to the lowest point of wave (4). Most of the time wave 5 goes up till it has reached the 1 fib. And that is the point where we got out of the trade with all of our investment. In this trade we got out of the trade a bit earlier. We received the sell signals and got a reversal on the Overbought/Oversold + Divergence Indicator.
We are hoping you learned something so you can make better decisions when to get into or out of a trade.
If you have any question just drop it into the comments below.
FEATURES:
• You can show/hide the RSI .
• You can show/hide the MA.
• You can show/hide the lRSIMA cloud.
• You can show/hide the Stoch RSI cloud.
• You can show/hide and adjust the Overbought and Oversold zones.
• You can show/hide and adjust the Overbought Extended and Oversold Extended zones.
• You can show/hide the Overbought and Oversold highlighted zones.
• Etc...
HOW TO GET ACCESS TO THE SCRIPT:
• Favorite the script and add it to your chart.
REMARKS:
• This advice is NOT financial advice.
• We do not provide personal investment advice and we are not a qualified licensed investment advisor.
• All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice.
• We will not and cannot be held liable for any actions you take as a result of anything you read here.
• We only provide this information to help you make a better decision.
• While the information provided is believed to be accurate, it may include errors or inaccuracies.
Good Luck and have fun,
The CryptoSignalScanner Team
I_MACD#I_MACD #Version_1_0_3
Hello Traders from all over the world! Today I would like to share a cool customizing tool our team recently has made. If you have ever used MACD or any other seemingly indicators that visualize the degree of converging/diverging of any two values, you are very lucky today. This one should be one of the most optimal tools for you guys that enables you to customize your own CD indicator perfectly fitted for your trading styles. Moreover, you can even set up optimized parameters for each different trading commodities or products.
There is no doubt that MACD (Moving Average Convergence Divergence) is one of the most popular indicators currently in trading world along with RSI and Stochastic. Google and old textbooks say that MACD is a technical indicator that helps you identify market trends and potential trend reversal point. Well, which existing indicators doesn’t? The problem is, how well the indicator reflects the market trends with least amount of lagging. We want to use an indicator that can provide best-fitted trend data as early as possible.
Anyway, this indicator is made of 3 different components: MACD line, a signal line, and an oscillator, which is usually plotted with histogram. MACD line is basically the level of difference between two EMAs, 12 and 26 (default settings). In other words, MACD Line visualizes the amount of gap between 12 and 26 EMA.
- When bullish, 12 EMA would be above 26 EMA and as the trend becomes more bullish, they will diverge more and MACD line would be positive (above the base line).
- When bearish, 12 EMA would be below 26 EMA and as the trend becomes more bearish, they will diverge more and MACD line would be negative (below the base line).
MACD Line = (Faster, sensitive) EMA – (Slower, dull) EMA = 12 EMA – 26 EMA
Then you add another EMA on the MACD line itself which then becomes a signal line. The default length of the signal line is 9. In other words, Signal line is a 9 EMA of the difference level between 26 and 12 EMA. Now the difference between Signal line and MACD line are called oscillator usually plotted with histograms.
- When MACD line is above the Signal Line, histogram would face upward (Positive Side)
- When MACD line is below the Signal Line, histogram would face downward (Negative Side)
Signal Line = 9 EMA of MACD Line
Two meaningful signals should be monitored to effectively spot the trend reversal point.
1. Pay attention to the crossover made by the two lines. Higher the golden-cross and the lower the death-cross is located, more weights added on the possibility of trend reverse. I personally ignore most of the crossovers signaled near the base line.
2. Search for the histogram peak outs. When two lines start to converge (heading towards each other), histogram will leave a significant peak and approach towards baseline meaning that the oscillator started to lose its strength.
Remember, both the signals (lines’ crossovers and histogram peak outs) are more reliable and meaningful as they are located farther away from the baseline.
As mentioned, the default parameters for MACD are 12, 26, and 9. The first two numbers are the lengths of prices’ moving averages that are used to compute MACD line. 9 is length of signal line. Furthermore, the types of moving averages and signal line used in this setting provided by Tradingview are EMAs (Exponential moving averages). Therefore, the proper way to express the default setting of MACD would be 12, 26, 9, EMA, EMA.
I have a question for you MACD users. How is MACD doing lately? Are you fully satisfied with the performance? Some might say yes, but most wouldn’t. Well, I personally believe that the default parameters are bit outdated. It surely was a powerful weapon 50 years ago when MACD was just created by Gerald Appel and only few knew how to use it. Things are different now. We have witnessed so many cases where everyone starts to all use the same types and parameters of indicators, techniques, and theories which eventually drops accuracy and preciseness. Come on, we are not living in fairy tales, instead in an extremely competitive world called capitalism where only a few survives.
As we are already aware, this market keeps changing over time. Encountering various patterns, price actions, wave structures, and trend flows that are unfamiliar and untraditional, traders easily get frustrated. Market is not like it used to be in the old days where trading was much easier. What worked yesterday doesn’t anymore work today and not even tomorrow. Such evidences we see every day are broadening channel, stoploss hunting, Bart Simpson, whipsaw, and bull/bear trap were once considered as rare phenomenon.
I_MACD might be useful tool for you to back/forward test to find the optimized types and parameters of the CD indicator just fitted for your unique trading styles and preferences. There are infinite number of combinations of types and parameters within this indicator you can try. For example, not only the lengths of the moving averages, but different types of technical indicators to compute the CD lines can also be tested. Try all the possible combinations of parameters and if you find a good one, please share it with us on the comment section below! I will also let you guys know if I do. In fact, the default settings, ohlc4, 60, 140, 30 EMA, EMA, are one of many that I have found useful.
Furthermore, for your convenience when testing, we added a few side features as listed below. You can turn these on and off according to your preferences and circumstances.
1. Crossovers of MACD and Signal line: Death-crosses above the baseline and golden-crosses below the baseline will be spotted with a vertical line.
2. Divergence Sensitivity: This feature finds out both the regular and hidden divergences of MACD line. Higher sensitivity searches for the divergences within the waves of the larger degree and vice versa for the lower sensitivity.
3. Histogram Peak out: Triangle signals will appear when oscillator peak outs are possibility assumed in advance. Similarly, as the first feature positive peak outs are searched only when MACD line is positive and vice versa for the negative peak outs.
We all know there is no ‘Perfect’ method in this industry other than becoming Elon Musk, but there surely are ‘Better’ methods. Contemporary traders should track and reflect trends of the latest market on developing their methods. In order to process that task, testing and experimenting new and different techniques through insightful ways is required. I_MACD might be the ‘Perfect’ tool for you to be a ‘Better’ trader. Thanks for reading.
#아이맥디 #I_MACD #Version_1_0_3
안녕하세요. 트레이더 여러분. 토미입니다.
오늘은 MACD와 같은 CD(Convergence Divergence)류의 보조지표를 써 보신 분들이 정말 좋아하실 만한 지표 툴 하나를 소개 드리겠습니다. 이름하여 I_MACD! 아무나 자유롭게 사용하실 수 있습니다. 여러분의 트레이딩 성향, 종목 특성, 타임 프레임, 현대 시장 상황, 그리고 요즘 여러분이 생각하는 차트 흐름에 딱 맞는 지표를 만들고 사용해보세요.
MACD는 딱 두가지 신호만 주목하시면 됩니다. 첫번째 신호는 MACD선과 Signal선, 이 두 곡선이 서로 크로스 할 때, 즉 오실레이터가 양에서 음으로 혹은 음에서 양으로 변환되는 시점입니다. 두번째 신호는 오실레이터가 고/저점(Peak out)을 찍고 변곡이 시작되는 시점입니다. 이 외에 제가 전 다이버전스 강의에서 언급 드렸듯 두 곡선과 히스토그램의 다이버전스 역시 참고해볼 수 있습니다.
흔히 쓰이는 MACD의 기본(디폴트) 설정 값은 12, 26, 9이며 현재 트레이딩뷰에서 제공하는 MACD의 두 이평선, 즉 MACD선을 도출할 때 사용되는 주가의 12와 26 이평선의 종류는 EMA(Exponential Moving Average)입니다. 또한 저 설정 값에서 9는 Signal선의 길이를 의미하며 본 이평선 종류 역시 EMA입니다.
MACD는 제럴드 아펠이라는 아저씨가 1970년대에 개발한 지표입니다. 하지만 여러분들도 알다시피 현대 금융 시장은 50년 전과 많이 다릅니다. 세상은 점점 더 빠르고 예측불가하게 변하고 있으며 금융 시장도 예외는 아닙니다. 기술적분석 관점으로도 이전에는 흔히 나오지 않았던 패턴, 경향성, 규칙, 그리고 흐름들이 지금은 비일비재하게 나오고 있습니다. 이쪽 시장은 정해진 답안지가 없으며 시시각각 변하는 시장에 맞게 우리가 참고하는 기법과 전략들을 항상 업데이트해줄 필요가 있습니다.
MACD 역시 모든 사람들이 사용하는 12, 26, 9, EMA, EMA 보다 더 나은 설정 값이 분명 존재할 겁니다. 그래서 저희 팀은 여러분들이 CD지표의 파라미터 값과 곡선 산출법을 변경하여 더 요즘 시장에 그리고 여러분 트레이딩 성향에 최적화된 지표로 만들어 사용할 수 있는 툴을 만들어봤습니다. 두 곡선과 Signal 선의 길이는 물론이고 타 이평선들을 포함 RSI, OBV, CCI, MFI 등과 같은 다른 종류의 지표로도 CD선을 구할 수 있게끔 해 놨습니다.
예를 들어 조금 더 장기적인 추세를 반영하는 MACD를 만들고 싶다면 12, 26이 아니라 50, 100의 길이를 사용해볼 수도 있고 이평선의 민감도를 조절하고 싶다면 EMA가 아닌 HMA나 RMA 같은 종류로 설정해볼 수도 있습니다. 또한 이평선이 아니라 아예 다른 지표들을 가지고 MACD화(정확히 말하면 CD화죠) 시켜볼 수도 있습니다. 저도 이것저것 시도 중인데 꽤 흥미로운 셋팅 값들이 보이네요. 참고로 디폴트로 설정해 놓은 시고저종/4, 60, 140, 30, EMA, EMA 조합도 제가 현재 테스트하고 있는 나쁘지 않은 값입니다. 여러분들도 괜찮은 설정 값들을 찾으면 혼자만 쓰지 마시고 댓글에 공유 좀 부탁드립니다~
또한 주요 시그널들을 쉽게 잡아낼 수 있게 아래와 같이 몇 가지 자동 기능들을 추가했습니다. 여러분들의 편의와 상황에 따라 사용하셔도 되고 거슬리면 끄셔도 됩니다.
1. MACD선과 Signal선의 크로스: 기준선 위에선 데드크로스, 아래에선 골든크로스를 표시해줍니다.
2. 다이버전스 민감도: MACD선의 다이버전스 출현 여부를 알려줍니다. 다이버전스 민감도를 내릴수록 더 작은 (단기) 단위 파동들의, 올릴수록 더 큰 (장기) 단위의 파동들의 다이버전스를 잡습니다.
3. 히스토그램 피크 아웃: MACD선이 기준선 위에 있을 때는 양, 아래에 있을 때는 음 히스토그램의 변곡점으로 의심되는 곳을 표기해줍니다.
제가 매번 강조 드리지만 지표는 보조로만 참고하는 도구이며 절대적으로 다 맞는 지표, 이론, 그리고 방법론은 세상에 존재하지 않습니다. 시장 상황에 따라 적절히 활용하고 본인이 사용하는 기술적분석 기법들 조합의 일부로 참고만 하시는 게 좋습니다.
Adulari OscillatorThis indicator is included with Adulari Professional.
Adulari Oscillator is a trading tool that can be used on any asset, and any given timeframe. It is special because it self-optimizes, meaning no configuration is required before usage.
How do I use it?
Never use this indicator as standalone trading signal, it is meant to be used as confirmation.
Look for strong trends crossing on the middle line.
Combine the trend strength indications with the signals. For example: if a bullish signal was printed after a strong downtrend this may indicate a strong reversal.
The accuracy shown in the indicator is merely a tool. Past results do not indicate future results. Historical data will differ from future data.
Features:
Self-optimizing, no configuration required.
Purple dots for bullish trend reversals, gray crosses for bearish trend reversals.
Gradient histogram that shows the strength of a bullish or bearish trend with a stronger color.
White line that indicates clear bottoms or tops.
Automatically determined top and bottom borders that may show trend reversals.
Dashboard that shows the accuracy of the signals, total amount of signals, total amount won, and total amount lost.
Alert conditions that allow you to set alerts for bullish or bearish signals.
How does it work?
The oscillator line is calculated using our custom version of the very well-known and loved stochastic. The bullish signals are given when the oscillator value falls below the oversold line, and the bearish signals when the oscillator value exceeds the overbought line. These oversold and overbought lines are determined by our algorithm. The accuracy shown in the dashboard is calculated with the following methods: the highest or lowest price within the lookback range divided by the price at the moment of a signal multiplied by the minimum percentage change. When this condition is true it means a signal was valid and thus it will be added to the total wins, when the condition is false it will be added to the total losses. Accuracy is then determined by dividing the total wins by total signals. A win is when the minimum percentage move in the settings occurred within x amount of bars (settings) after a signal. When these conditions are not met, it will be considered a loss. Keep in mind that this is not a trading strategy, and these wins/losses do not represent actual trades. The accuracy also does not represent a winrate or anything of a sort while using the indicator.
This script is unique because it does a few things. It self-optimizes based on historical data, which I was not able to find in this specific stochastic like oscillator format. And it will show you the average accuracy of the signals based on all the signals given on the chart, which I was not able to find in this same exact format either.
Musashi_Katana=== Musashi-Katana ===
This tool was designed to fit my particular trading style and personal theories about the "Alchemy of the markets" and ''Harmonic Structure'.
Context
When following a Technical approach to to surf the markets, there are teachings that must be understood before reaching a confort-zone, this usually happen the possible worst way by constant experimentation, it hurts.
Here few technical hints:
- Align High timeframes with lower timeframes:
This simple concept relax a lot complexity of finding of a trend bias. Musashi-Katana allows you to use technical indicator corresponding to specific timeframes, like daily weekly or yearly. They wont change when you change the chart's timeframe, its very useful as you know where you're standing in the long term, Its quite relaxing.
- Use volume:
The constant usage of volume will allow you to sync with the market's breathing. This shows you the mass of money flowing into and out of the market, is key if you want to understand momentum. This tool can help here, as it have multi-period vwaps. You can use yearly, monthly for swing trading, and even weekly if you enjoy scalping.
Useful stuff:
- You have access to baselines, AMA and Kijun-sen with the possibility of adding ATR bands.
- AMAs come as two lines strategies for different approaches, fast medium or slow.
- You can experiment with normal and multi timeframe moving averages and other trend tools.
Final Note
If used correctly Musashi-Katana is a very powerful tool, which makes no sense as there is no correct usage. Don't add everything at the same time, experiment, combine stuff, every market is different.
Backtest every possible strategy before using it, see what works and doesn't. This gives you a lot of peace, specially while you're at the tip of the spear surfing the markets
--> I personally use this in combination with 'Musashi_Slasher (Mometum+Volatility)', as it gives me volatility and momentum in a very precise way.
