GBTT Range Wave IndicatorOverview:
This script is a type of mean reversion indicator, it uses a short period EMA, the EMA5 to be exact, as its basis for a mean. From here, we run a modified version of ATR over a longer period of time to find an average range value for price movement. Finally, we calculate the cloud/band/wave by multiplying this range value by our deviation values to produce areas where the price could be considered too far from the mean (similar to an oversold or overbought scenario).
Additionally, we wrote this script with a goal to reduce or eliminate repainting. In the code, we have utilized OPEN values (instead of CLOSE) and previous candle values (not the current candle) to build all the data for the algorithm here to avoid the waves constantly moving and changing their values on real time candles. That said, this is NOT a guarantee that it will never repaint.
What you see:
Visually, the waves are always on the chart. Optionally, we provide a custom standard deviation channel based off the EMA5 (represented with a blue shading) and/or a simple ema5/21 crossover cloud. These can be used for additional confluence if desired, but are not necessary for the core function of the indicator which would be the upper and lower wave.
Intended use:
To provide educational content about the short term movement of an asset. Designed to be run on any time frame.
Disclaimer:
NOT intended to be a sole source of Technical Analysis or anything more than an educational tool!
Pesquisar nos scripts por "wave"
Cipher & DivergenceFor a long time I've been using complicated script with too much informations in it.
In this one I try to have just the bare minimum information to be able to analyse and find a potential reversal zone.
It is inspired from different wave trend / cipher script but has been tuned after months of backtest.
Extending the usage of the wave trend oscillator, which can be used with overbuy & oversell zone it might be better to wait for a confirmation of the movement. This confirmation can be identified by a pull back of the wave trend & price.
We can even confort ourself by waiting for reversal indicators.
Reversal may occurs after a divergence, wait for it, a cross of zero line followed by a PB to find your entry.
You can setup alert on bear / bull divergence but also when the wave trend cross the zero line to never miss a potential trade.
Huge thanks to LazyBear for his wave trend
And thanks vumanchu for his huge cipher script which was very useful for divergence finder
WhaleCrew VisionVision is an advanced momentum oscillator that visualizes momentum strength with overbought and oversold readings.
Features
Momentum Waves
Divergence Detection (regular and hidden divergences)
Detection for momentum shifts (detects higher lows/lower highs on the oscillator)
Detection for momentum stagnation
Moneyflow
Most important: Our Custom Strategy Builder
Custom Strategy Builder
The custom strategy builder is a framework that allows you to easily create custom strategies.
1. Configure long/short conditions
Pre-defined conditions for custom timeframes, under which you're looking to potentially enter a trade.
2. Configure trigger
Select a trigger (e.g. "Wave Cross" or "Wave Lower High") to generate labels/alerts for potential entries, whenever long/short conditions are met.
3. Configure Take Profit Conditions
Potential Take Profits are triggered by momentum stagnation.
4. Backtest your strategy
By using our open-source backtester script (published on our profile).
5. Trade responsibly
Manually review each signal/alert before taking any actions.
Note: The "Strategy Backtest" input section can also help you develop your strategy.
Usage
You can use this indicator to follow the trend, detect momentum shifts or memorize patterns.
Take a systematic approach by using our strategy builder.
Access to this indicator can be obtained through our website.
Ichimoku EMA WaveThis script combines a customizable Ichimoku Cloud/ EMA combination to provide a quick trend visualisation.
For example, long entries can be found when the green EMA wave rises above the Ichimoku cloud.
Combine it with some oscillators (like MACD) for good results.
Also, experimenting with a different "wavelength" (default 50) and/or EMA length (default10) for different securities is a good idea.
Script is free to use and to modify at ones liking.
Flunki Multi Sine WaveDec 1
Herewith 6 sinewaves, including amplitude, phase, wavelength in bars, colour and fill options.
May develop to include a bunch wavelength value presets, and other waveforms, and modulation options.
Enjoy the harmonics !
Release Notes: Cosmetic minor fix for fill colour
Added centre line
Release Notes: Added global fill transparency input option
Release Notes: Added a Global option to use the period value as the amplitude value too, more fun than it sounds...
Release Notes: Last update for now
Added input source level as sine waveform period, as a plot too.
Release Notes: Set the CLOSE plot to be able to accept other source inputs (even itself :)
Release Notes: Added a global bar period multiplier, and some other bits to the price modulated sine, invert and a separate amplitude multiplier
Added individual flip phase per oscillator, tweaked some defaults
** Had to republish due to TV rule miscellany **
München's Momentum WaveMUNICH'S MOMENTUM WAVE:
This momentum tracker has features sampled from Madrid's moving average ribbon but has differentiated many values, parameters, and usage of integers. It is derived using momentum and then creates moving averages and mean lengths to help support the strength of a move in price action, and also has the key mean length that helps determine HL/LH or rejections into trend continuation. This indicator works on ALL TIME FRAMES, ALL ASSET CLASSES ON ALL SETTINGS!!
HOW DO I USE IT?
*First off, I have arranged the input settings into groups based on the parts of the indicator it affects.
*You want to use the aqua/white/yellow (Munich's line) as your leading indicator, this is a combined average of the MoM indicator.
* When using Munich's line you want to look at the relation to the mean line (the flat line that adjusts based on price action. You will often see rejections of this line into trend continuation. I personally have caught perfect LH/HL bounce trades off of this indicator.
* Use the Background and other colored moving averages to help pre-determine moves based on the -3 offset value of Munich's line. This was by design not to create 'accurate' results, but to help predict momentum swings based on sharper moves in price action better than if all values lined up to the current bar.
Cheat Code's Notes:
I hope you guys find this indicator to be useful, this is most likely the best indicator that I have written. Simply for the fact it is useful on any chart, any timeframe with any setting. If you guys have any issues with it, shoot me a pm or drop a comment. Thanks!
-CheatCode1
BINANCE:BTCUSDT BITSTAMP:ETHUSD BITSTAMP:BTCUSD PEPPERSTONE:JPYX TVC:DXY TVC:NDQ AMEX:SPY
AIMS Purple MagicThe Alligator is a Very Powerful Indicator
Some people think it's just 3 moving averages. But in reality, it is far more than that.
Read more about Alligator and Bill Williams
The Purple Magic Line has been derived from Bill Williams Alligator. Together the Alligator we call the AIMS Gator.
It is a smooth moving average based on the Chaos Red Line of the 5 times higher time frame.
Our Mantra: If you trade in line with the trend of the 5 times higher time frame, you will have a higher chance of catching breakouts in the direction of the trend.
So we have this rule, Always Trade when Price is Going Away from The Purple Line. Simple as that.
Buy Only: Price above the Purple Line
Sell Only: Price below the Purple Line.
What is The Alligator?
The Alligator Indicator was developed by Bill Williams and combines moving averages with fractal geometry.
The indicator helps traders to identify if the market is trending.
It consists of 3 lines: the blue line (aka the Alligator's Jaw),
the red Line (aka the Alligator's Teeth) and
the green Line (aka the Alligator's Lips).
Each has different lookback periods and offsets that can be set by the user.
The alligator is easy to use and can find trade setups, based on how close together or how far apart the lines are, resembling an alligator opening and closing his mouth. This indicator can be used in combination with other analysis techniques.
Based on calculations of Non-Linear mathematical formula we have arrived at a way to calculate the Trend of the 5 times higher time frame
The Purple Magic Indicates :
The Trend of Current and 5 times higher time frame
It helps prevent trading into Wave 4
It helps with counting Wave 3 and 4
You can use it to time early entry into Wave 5
The bounce of Purple after a wave 3 is often a 50% fib retracement.
Examples:
In the picture below you see an M5 chart and M1 chart.
On the left side, you see Alligator Red Line on the 5-minute chart
on the right side, you see The Purple Magic line. Which depicts the same price regions.
This is the Sweet Spot where we take trades.
In line with The Awesome oscillator if you time your entries based on a pullback towards the purple, it can be a system on its own. Nothing else required. But we have a better method.
When we put together, AIMS The Box, AIMS The Gator, and AIMS The Wave indicators, things work even smoother.
For more information visit the link below.
Renko Weis Wave VolumeThis is live and non-repainting Renko Weis Wave Volume tool. The tool has it’s own engine and not using integrated function of Trading View.
Renko charts ignore time and focus solely on price changes that meet a minimum requirement. Time is not a factor on Renko chart but as you can see with this script Renko RSI created on time chart.
Renko chart provide several advantages, some of them are filtering insignificant price movements and noise, focusing on important price movements and making support/resistance levels much easier to identify.
As source Closing price or High/Low can be used.
Traditional or ATR can be used for scaling. If ATR is chosen then there is rounding algorithm according to mintick value of the security. For example if mintick value is 0.001 and brick size (ATR/Percentage) is 0.00124 then box size becomes 0.001. And also while using dynamic brick size (ATR), box size changes only when Renko closing price changed.
This tool is based on the Weis Wave described by David H. Weis (a Wyckoff specialist). The Weis Waves Indicator sums up volumes in each wave. This is how we receive a bar chart of cumulative volumes of alternating waves and The cumulative volume makes the Weis wave charts unique.
If there is no volume information for the security then this tool has an option to use “True Range” instead of volume .
Better to use this script with the following one:
Enjoy!
VolWaves‴ | Volume Waves‴What does it do?
This indicator allows you to identify possible top and bottom reversals by having a prior volume reversal identifiable by positive (top reversal) and negative (bottom reversal) waves.
How does it work?
Everytime the wave starts ending its movement by shrinking the size of the histogram bars, it might be signing that a price reversal is on its way. It is possible to adjust the wave shape by increasing/decreasing its gradient value analysis, but it's so easy to use that sometimes no reconfiguration is needed, just add it and let it guide you.
What's my filling?
I've been testing this indicator for weeks and so far with incredible reversal signals.
Swing Wave Helper by 2tmHello Everyone.
I'd inspired from Renko Chart and make to find Waves.
As you know guys, the candle make Waves and the node of Waves make 3 Points.
With those 3 Points we can find where these candle go. Up? or Down.
With This script you can find easily those 3 Points easily.
Thank you and have a nice day.
[djt] wv2Display volume totals of each wave of movement. With this you can generally determine when a trend is weakening by lesser relative wave volume in the trend direction whilst increasing volume in the reverse direction.
You can also identify absorption based on high volume waves with less wave distance.
Currently limited to around 50 wave counts per chart due to tradingview limits.
For best results, work through timeframes in the structure you're looking at to obtain the clearest vision of the directional waves.
Fractal Resonance BarLazyBear's WaveTrend port has been praised for highlighting trend reversals with precision and punctuality (minimal lag). But strong "3rd Wave" trends can "embed" or saturate any oscillator flashing several premature crosses while stuck overbought/oversold. This happens when the trend stretches over a longer timescale than the oscillator's averaging window or filter time constant. Our solution: monitor many timescales. With Fractal Resonance Bar's rich color codings, strong wavefronts form across timescales and jump out like an approaching line of thunderclouds!
Fractal Resonance Bar color-codes the status of eight underlying stochastic oscillators, with each row averaging over twice the time of the row above.
Fractal Resonance Bar shifts its timescales along with your choice of main chart timescale:
1 minute chart: 1 minute through 128 minute (~2 hour) oscillators.
15 minute chart: 15 minute through 1920 minute (~32 hour) oscillators.
1 hour chart: 1 hour through 128 hour (~2 week) oscillators.
Daily chart: 1 day through 128 day (~4 month) oscillators.
The color map is configured as follows:
Hot Pink: Extreme Overbought (> 100%) rolled over to sell, but oscillators probably embedded with more upside (revert to Dark Green) possible after a pause.
Deep Red: Overbought (> 75%) crossover ripe for selling (validated when red spreads to timescales below).
Brown: Minor (< 75%) crossover sell from which could bounce back green or start a plunge toward gray/black.
Gray/Black: Mature (< -75%) sells turning full black in a plunge before the dawn.
Lime Green: Extreme Oversold (< -100%) and bouncing, though may yet bottom even lower.
Green: Oversold (< -75%) crossover ripe for buy. Green spreading to all timescales below will validate bottom is in.
Dark Green/Teal: Mature buy in overbought (> 75%) range, waiting for sell crossover to Hot Pink for a pause or correction.
White Stripes are Impulsive Trend Warning
Fractal Resonance Bar warns of oscillator embedding by showing white stripes when it detects strong, early surges in the timescale rows below.The white stripes usually accompany Hot Pink warning it's too early to go short, or Lime Green warning it's too early to go long.
Heeding these warnings will probably miss the exact top or bottom, but you're less likely to get overrun in a momentum move.
Usually the market gives us a second opportunity to short very close to the top or buy very close to the bottom after the warning white stripes have subsided.
NOTE: Recently rolled over Futures contracts may not have enough history for all oscillator calculations, in which case no bar colors will appear.
Tweakable Attributes
The default Channel Length, Stochastic Ratio Length and Lag Length work reasonably well on all timescales in our experience. Minor tweaks don't hurt but this may just overfit to a particular chart history.
We don't recommend changing the 75% Overbought and 100% Extreme Overbought default levels as these are ideal numbers relative to the underlying oscillator statistic calculations. But these settings can shift the color transition levels.
Embedded attribute controls the sensitivity/conservativeness of the white strip embedding detectors. Closer to 75 increases the warning sensitivity while closer to 100 decreases the aggressiveness of blocking white stripes.
Embed Separation also affects the white stripe sensitivity.
Row width increases each row's thickness to fill the available screen height you've afforded the bar.
波段过滤器 V4Core Features
Based on an enhanced WaveTrend (WT) oscillator, this tool quantifies the degree of “momentum deviation” from short-term price averages in real time.
Fixed ±threshold levels divide conditions into three tiers: Mild / Moderate / Strong overbought-oversold zones, visually marked with red/green bricks placed outside the threshold lines.
Optional built-in ATR volatility filter to eliminate false extremes in low-volatility areas.
Automatically generates two alert conditions (WT_Box_Over / WT_Box_Under) compatible with TradingView push notifications or Webhooks.
How to Use
Apply to any timeframe from 5-minute to weekly charts.
Fine-tune sensitivity in 3 seconds using four intuitive sliders: n1/n2, threshold, tier step size, and ATR ratio.
When two consecutive bricks appear together with a top/bottom divergence, it signals a high-probability mean reversion zone.
Ideal for: Short-term momentum traders, swing traders, and trend followers who rely on visual “extreme condition alerts.”
Elliott Wave + Fib Levels w/Alerts [Enhanced]Elliott Wave + Fibonacci Levels with Alerts
This powerful TradingView indicator combines Elliott Wave detection with customizable Fibonacci retracement levels to help identify key price zones and potential trade opportunities. It automatically detects bullish and bearish waves based on recent highs and lows, with an optional EMA filter to improve trend accuracy.
Key features include:
Dynamic detection of Elliott Waves based on configurable wave length.
Visualization of Fibonacci retracement levels on detected waves, with customizable percentage levels and optional labels for clarity.
ATR-based automatic calculation of stop loss and take profit levels with adjustable multipliers.
Real-time alerts triggered on new wave formations, indicating bullish or bearish setups with precise entry price details.
Clean plotting of entry signals, stop loss, and take profit zones directly on the chart.
User-friendly input controls to tailor the indicator to your trading style, including options to toggle EMA filtering, Fibonacci level display, and alert activation.
Ideal for traders looking to combine classic wave analysis with Fibonacci support/resistance levels and actionable trade alerts, this indicator streamlines technical analysis and trade management in one easy-to-use tool.
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
________________________________________
Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
________________________________________
The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
________________________________________
The Parsifal.Swing.TrendScore – Specifics
The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior.
________________________________________
How Swing.TrendScore Works
The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators.
Additionally, it calculates a short-term trend score using core technical signals, including:
• The Z-score of the price's distance from various EMAs
• The slope of EMAs
• Other trend-strength signals from additional technical indicators
These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior.
________________________________________
How to Interpret Swing.TrendScore
The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align.
It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior.
This makes Swing.TrendScore particularly valuable for:
• Short-term trend-following strategies
• Medium-term swing trading
Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations.
________________________________________
Behavior and Chart Representation
The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond).
• Historically high or low values may suggest overbought or oversold conditions
• The chart displays:
o A fast curve (orange)
o A slow curve (white)
o A shaded background representing the market state
• Extreme values followed by curve reversals may signal a developing mean reversion
________________________________________
TrendScore Background Value
The Background Value reflects the combined state of the short-term trend and swing:
• > 0 (shaded green) → Bullish mode: swing and short-term trend both upward
• < 0 (shaded red) → Bearish mode: swing and short-term trend both downward
• The absolute value represents the confidence level in the market mode
Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa.
________________________________________
How to Use the Parsifal.Swing.TrendScore
Several change points can act as entry triggers or aids:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crosses slow line or the slope of the slow signal changes
• Slow Trigger: change in sign of the Background Value
Examples of these trigger points are illustrated in the accompanying chart.
Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process.
________________________________________
As always, this indicator should be used in conjunction with other tools and market context in live trading.
While it provides valuable insight and potential entry points, it does not predict future price action.
Instead, it reflects recent tendencies and should be used judiciously.
________________________________________
Extensions
The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on:
• Historical performance
• Relevance of the data
• Specific market conditions
Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures.
Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing.
Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Kondratieff Wave & Benner Business CyclesKondratieff Wave Theory
Description: The Kondratieff Wave, also known as K-Waves or Long Waves, is an economic theory that posits long-term cycles of approximately 40-60 years in capitalist economies. These cycles consist of four phases: Spring (expansion and recovery), Summer (prosperity and peak), Autumn (stagnation and recession), and Winter (depression and restructuring). The theory suggests that technological innovations and major economic shifts drive these waves, influencing periods of growth and decline over decades.
Creator Bio: Nikolai Dmitriyevich Kondratieff (1892–1938) was a Russian economist born in the Kostroma Governorate. He studied at the University of St. Petersburg and became a prominent figure in Soviet economics. Kondratieff developed his long-wave theory in the 1920s while analyzing historical economic data, publishing works like The Major Economic Cycles (1925). His ideas clashed with Soviet ideology, leading to his arrest in 1930 during Stalin’s purges. He was executed in 1938, but his work gained recognition posthumously, influencing modern economic cycle analysis.
Benner Cycle Theory
Description: The Benner Cycle, proposed by Samuel Benner, is a predictive model for business and commodity price cycles, focusing on shorter-term economic fluctuations. Benner identified recurring patterns in market peaks (highs), panics (crashes), and buying opportunities (lows), with cycles averaging 8-10 years for highs, 7-8 years for panics, and 8-9 years for buys. His theory, based on historical observations of U.S. markets, aimed to guide farmers and investors by forecasting periods of prosperity and distress.
Creator Bio: Samuel T. Benner (1830s–unknown) was an American farmer and businessman from Ohio, not a formally trained economist. After losing his fortune in the Panic of 1873, Benner turned to studying economic patterns. In 1875, he self-published Benner’s Prophecies of Future Ups and Downs in Prices, a book that charted cycles in pig iron prices and other commodities. His work gained a cult following among traders and remains studied for its empirical approach, despite Benner’s lack of academic credentials and limited biographical records.
Smart Liquidity Wave [The_lurker]"Smart Liquidity Wave" هو مؤشر تحليلي متطور يهدف لتحديد نقاط الدخول والخروج المثلى بناءً على تحليل السيولة، قوة الاتجاه، وإشارات السوق المفلترة. يتميز المؤشر بقدرته على تصنيف الأدوات المالية إلى أربع فئات سيولة (ضعيفة، متوسطة، عالية، عالية جدًا)، مع تطبيق شروط مخصصة لكل فئة تعتمد على تحليل الموجات السعرية، الفلاتر المتعددة، ومؤشر ADX.
فكرة المؤشر
الفكرة الأساسية هي الجمع بين قياس السيولة اليومية الثابتة وتحليل ديناميكي للسعر باستخدام فلاتر متقدمة لتوليد إشارات دقيقة. المؤشر يركز على تصفية الضوضاء في السوق من خلال طبقات متعددة من التحليل، مما يجعله أداة ذكية تتكيف مع الأدوات المالية المختلفة بناءً على مستوى سيولتها.
طريقة عمل المؤشر
1- قياس السيولة:
يتم حساب السيولة باستخدام متوسط حجم التداول على مدى 14 يومًا مضروبًا في سعر الإغلاق، ويتم ذلك دائمًا على الإطار الزمني اليومي لضمان ثبات القيمة بغض النظر عن الإطار الزمني المستخدم في الرسم البياني.
يتم تصنيف السيولة إلى:
ضعيفة: أقل من 5 ملايين (قابل للتعديل).
متوسطة: من 5 إلى 20 مليون.
عالية: من 20 إلى 50 مليون.
عالية جدًا: أكثر من 50 مليون.
هذا الثبات في القياس يضمن أن تصنيف السيولة لا يتغير مع تغير الإطار الزمني، مما يوفر أساسًا موثوقًا للإشارات.
2- تحليل الموجات السعرية:
يعتمد المؤشر على تحليل الموجات باستخدام متوسطات متحركة متعددة الأنواع (مثل SMA، EMA، WMA، HMA، وغيرها) يمكن للمستخدم اختيارها وتخصيص فتراتها ، يتم دمج هذا التحليل مع مؤشرات إضافية مثل RSI (مؤشر القوة النسبية) وMFI (مؤشر تدفق الأموال) بوزن محدد (40% للموجات، 30% لكل من RSI وMFI) للحصول على تقييم شامل للاتجاه.
3- الفلاتر وطريقة عملها:
المؤشر يستخدم نظام فلاتر متعدد الطبقات لتصفية الإشارات وتقليل الضوضاء، وهي من أبرز الجوانب المخفية التي تعزز دقته:
الفلتر الرئيسي (Main Filter):
يعمل على تنعيم التغيرات السعرية السريعة باستخدام معادلة رياضية تعتمد على تحليل الإشارات (Signal Processing).
يتم تطبيقه على السعر لاستخراج الاتجاهات الأساسية بعيدًا عن التقلبات العشوائية، مع فترة زمنية قابلة للتعديل (افتراضي: 30).
يستخدم تقنية مشابهة للفلاتر عالية التردد (High-Pass Filter) للتركيز على الحركات الكبيرة.
الفلتر الفرعي (Sub Filter):
يعمل كطبقة ثانية للتصفية، مع فترة أقصر (افتراضي: 12)، لضبط الإشارات بدقة أكبر.
يستخدم معادلات تعتمد على الترددات المنخفضة للتأكد من أن الإشارات الناتجة تعكس تغيرات حقيقية وليست مجرد ضوضاء.
إشارة الزناد (Signal Trigger):
يتم تطبيق متوسط متحرك على نتائج الفلتر الرئيسي لتوليد خط إشارة (Signal Line) يُقارن مع عتبات محددة للدخول والخروج.
يمكن تعديل فترة الزناد (افتراضي: 3 للدخول، 5 للخروج) لتسريع أو تبطيء الإشارات.
الفلتر المربع (Square Filter):
خاصية مخفية تُفعّل افتراضيًا تعزز دقة الفلاتر عن طريق تضييق نطاق التذبذبات المسموح بها، مما يقلل من الإشارات العشوائية في الأسواق المتقلبة.
4- تصفية الإشارات باستخدام ADX:
يتم استخدام مؤشر ADX كفلتر نهائي للتأكد من قوة الاتجاه قبل إصدار الإشارة:
ضعيفة ومتوسطة: دخول عندما يكون ADX فوق 40، خروج فوق 50.
عالية: دخول فوق 40، خروج فوق 55.
عالية جدًا: دخول فوق 35، خروج فوق 38.
هذه العتبات قابلة للتعديل، مما يسمح بتكييف المؤشر مع استراتيجيات مختلفة.
5- توليد الإشارات:
الدخول: يتم إصدار إشارة شراء عندما تنخفض خطوط الإشارة إلى ما دون عتبة محددة (مثل -9) مع تحقق شروط الفلاتر، السيولة، وADX.
الخروج: يتم إصدار إشارة بيع عندما ترتفع الخطوط فوق عتبة (مثل 109 أو 106 حسب الفئة) مع تحقق الشروط الأخرى.
تُعرض الإشارات بألوان مميزة (أزرق للدخول، برتقالي للضعيفة والمتوسطة، أحمر للعالية والعالية جدًا) وبثلاثة أحجام (صغير، متوسط، كبير).
6- عرض النتائج:
يظهر مستوى السيولة الحالي في جدول في أعلى يمين الرسم البياني، مما يتيح للمستخدم معرفة فئة الأصل بسهولة.
7- دعم التنبيهات:
تنبيهات فورية لكل فئة سيولة، مما يسهل التداول الآلي أو اليدوي.
%%%%% الجوانب المخفية في الكود %%%%%
معادلات الفلاتر المتقدمة: يستخدم المؤشر معادلات رياضية معقدة مستوحاة من معالجة الإشارات لتنعيم البيانات واستخراج الاتجاهات، مما يجعله أكثر دقة من المؤشرات التقليدية.
التكيف التلقائي: النظام يضبط نفسه داخليًا بناءً على التغيرات في السعر والحجم، مع عوامل تصحيح مخفية (مثل معامل التنعيم في الفلاتر) للحفاظ على الاستقرار.
التوزيع الموزون: الدمج بين الموجات، RSI، وMFI يتم بأوزان محددة (40%، 30%، 30%) لضمان توازن التحليل، وهي تفاصيل غير ظاهرة مباشرة للمستخدم لكنها تؤثر على النتائج.
الفلتر المربع: خيار مخفي يتم تفعيله افتراضيًا لتضييق نطاق الإشارات، مما يقلل من التشتت في الأسواق ذات التقلبات العالية.
مميزات المؤشر
1- فلاتر متعددة الطبقات: تضمن تصفية الضوضاء وإنتاج إشارات موثوقة فقط.
2- ثبات السيولة: قياس السيولة اليومي يجعل التصنيف متسقًا عبر الإطارات الزمنية.
3- تخصيص شامل: يمكن تعديل حدود السيولة، عتبات ADX، فترات الفلاتر، وأنواع المتوسطات المتحركة.
4- إشارات مرئية واضحة: تصميم بصري يسهل التفسير مع تنبيهات فورية.
5- تقليل الإشارات الخاطئة: الجمع بين الفلاتر وADX يعزز الدقة ويقلل من التشتت.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
#### **What is the Smart Liquidity Wave Indicator?**
"Smart Liquidity Wave" is an advanced analytical indicator designed to identify optimal entry and exit points based on liquidity analysis, trend strength, and filtered market signals. It stands out with its ability to categorize financial instruments into four liquidity levels (Weak, Medium, High, Very High), applying customized conditions for each category based on price wave analysis, multi-layered filters, and the ADX (Average Directional Index).
#### **Concept of the Indicator**
The core idea is to combine a stable daily liquidity measurement with dynamic price analysis using sophisticated filters to generate precise signals. The indicator focuses on eliminating market noise through multiple analytical layers, making it an intelligent tool that adapts to various financial instruments based on their liquidity levels.
#### **How the Indicator Works**
1. **Liquidity Measurement:**
- Liquidity is calculated using the 14-day average trading volume multiplied by the closing price, always based on the daily timeframe to ensure value consistency regardless of the chart’s timeframe.
- Liquidity is classified as:
- **Weak:** Less than 5 million (adjustable).
- **Medium:** 5 to 20 million.
- **High:** 20 to 50 million.
- **Very High:** Over 50 million.
- This consistency in measurement ensures that liquidity classification remains unchanged across different timeframes, providing a reliable foundation for signals.
2. **Price Wave Analysis:**
- The indicator relies on wave analysis using various types of moving averages (e.g., SMA, EMA, WMA, HMA, etc.), which users can select and customize in terms of periods.
- This analysis is integrated with additional indicators like RSI (Relative Strength Index) and MFI (Money Flow Index), weighted specifically (40% waves, 30% RSI, 30% MFI) to provide a comprehensive trend assessment.
3. **Filters and Their Functionality:**
- The indicator employs a multi-layered filtering system to refine signals and reduce noise, a key hidden feature that enhances its accuracy:
- **Main Filter:**
- Smooths rapid price fluctuations using a mathematical equation rooted in signal processing techniques.
- Applied to price data to extract core trends away from random volatility, with an adjustable period (default: 30).
- Utilizes a technique similar to high-pass filters to focus on significant movements.
- **Sub Filter:**
- Acts as a secondary filtering layer with a shorter period (default: 12) for finer signal tuning.
- Employs low-frequency-based equations to ensure resulting signals reflect genuine changes rather than mere noise.
- **Signal Trigger:**
- Applies a moving average to the main filter’s output to generate a signal line, compared against predefined entry and exit thresholds.
- Trigger period is adjustable (default: 3 for entry, 5 for exit) to speed up or slow down signals.
- **Square Filter:**
- A hidden feature activated by default, enhancing filter precision by narrowing the range of permissible oscillations, reducing random signals in volatile markets.
4. **Signal Filtering with ADX:**
- ADX is used as a final filter to confirm trend strength before issuing signals:
- **Weak and Medium:** Entry when ADX exceeds 40, exit above 50.
- **High:** Entry above 40, exit above 55.
- **Very High:** Entry above 35, exit above 38.
- These thresholds are adjustable, allowing the indicator to adapt to different trading strategies.
5. **Signal Generation:**
- **Entry:** A buy signal is triggered when signal lines drop below a specific threshold (e.g., -9) and conditions for filters, liquidity, and ADX are met.
- **Exit:** A sell signal is issued when signal lines rise above a threshold (e.g., 109 or 106, depending on the category) with all conditions satisfied.
- Signals are displayed in distinct colors (blue for entry, orange for Weak/Medium, red for High/Very High) and three sizes (small, medium, large).
6. **Result Display:**
- The current liquidity level is shown in a table at the top-right of the chart, enabling users to easily identify the asset’s category.
7. **Alert Support:**
- Instant alerts are provided for each liquidity category, facilitating both automated and manual trading.
#### **Hidden Aspects in the Code**
- **Advanced Filter Equations:** The indicator uses complex mathematical formulas inspired by signal processing to smooth data and extract trends, making it more precise than traditional indicators.
- **Automatic Adaptation:** The system internally adjusts based on price and volume changes, with hidden correction factors (e.g., smoothing coefficients in filters) to maintain stability.
- **Weighted Distribution:** The integration of waves, RSI, and MFI uses fixed weights (40%, 30%, 30%) for balanced analysis, a detail not directly visible but impactful on results.
- **Square Filter:** A hidden option, enabled by default, narrows signal range to minimize dispersion in high-volatility markets.
#### **Indicator Features**
1. **Multi-Layered Filters:** Ensures noise reduction and delivers only reliable signals.
2. **Liquidity Stability:** Daily liquidity measurement keeps classification consistent across timeframes.
3. **Comprehensive Customization:** Allows adjustments to liquidity thresholds, ADX levels, filter periods, and moving average types.
4. **Clear Visual Signals:** User-friendly design with easy-to-read visuals and instant alerts.
5. **Reduced False Signals:** Combining filters and ADX enhances accuracy and minimizes clutter.
#### **Disclaimer**
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
Adaptive Elliott Wave Probability with Time Analysis
Purpose
The indicator helps traders identify and analyze Elliott Wave Probabiliy, dynamically adjusting its sensitivity based on market conditions. By using time intervals between directional changes and validating wave patterns, it provides insights into market trends and their likelihood of continuation.
Configuration
The script includes configurable inputs for the user to adjust:
The sensitivity of wave detection using a zigzag percentage range.
The length of pivots to define significant price movements.
Incremental adjustments to refine wave detection dynamically.
Core Variables
The script uses various variables to store and analyze market data:
Adaptive zigzag percentages start from a baseline and adjust dynamically to reflect changing market conditions.
Time intervals and bar indices are recorded to calculate the duration between directional changes.
Likelihood values are assigned to uptrends and downtrends, normalized for comparison.
Wave Detection
The script detects directional changes in price by identifying pivot highs and lows:
A pivot high is a local peak in the price chart, while a pivot low is a local trough.
Once a directional change is identified, the time interval since the last change is calculated and stored for further analysis.
Wave Validation
The script validates wave patterns using predefined rules. For example:
A valid wave may require that each subsequent time interval in a sequence is greater than the previous one.
This ensures that detected waves adhere to a logical progression, reflecting realistic market movements.
Adaptive Logic
The zigzag percentage adjusts dynamically based on the time intervals between directional changes. This allows the indicator to adapt to different market conditions, ensuring it remains effective during both high and low volatility periods.
Likelihood Calculation
This is calculated by identifying all of the current valid/verified waves in every every zigzag percentage and express the ratio as a percentage/probability
These likelihoods are normalized to ensure they sum to 100%, allowing for direct comparison.
The values are visually plotted on the indicator panel for clarity.
Visualization
The indicator plots:
Uptrend likelihood as a green line.
Downtrend likelihood as a red line.
These plots provide a visual representation of market trends and their potential continuation, helping traders make informed decisions.
Summary
This Adaptive Elliott Wave Indicator provides a robust tool for analyzing market trends and patterns. By dynamically adjusting its parameters and validating wave patterns, it adapts to changing market conditions and provides actionable insights into the likelihood of future price movements. Its visual outputs make it an accessible and effective tool for traders seeking to incorporate Elliott Wave theory into their strategies
RSI Wave Function Ultimate OscillatorEnglish Explanation of the "RSI Wave Function Ultimate Oscillator" Pine Script Code
Understanding the Code
Purpose:
This Pine Script code creates a custom indicator that combines the Relative Strength Index (RSI) with a wave function to potentially provide more nuanced insights into market dynamics.
Key Components:
* Wave Function: This is a custom calculation that introduces a sinusoidal wave component to the price data. The frequency parameter controls the speed of the oscillation, and the decay factor determines how quickly the influence of past prices diminishes.
* Smoothed Signal: The wave function is applied to the closing price to create a smoothed signal, which is essentially a price series modulated by a sine wave.
* RSI: The traditional RSI is then calculated on this smoothed signal, providing a measure of the speed and change of price movements relative to recent price changes.
Calculation Steps:
* Wave Function Calculation:
* A sinusoidal wave is generated based on the bar index and the frequency parameter.
* The wave is combined with the closing price using a weighted average, where the decay factor determines the weight given to previous values.
* RSI Calculation:
* The RSI is calculated on the smoothed signal using a standard RSI formula.
* Plotting:
* The RSI values are plotted on a chart, along with horizontal lines at 70 and 30 to indicate overbought and oversold conditions.
* The area between the RSI line and the overbought/oversold lines is filled with color to visually represent the market condition.
Interpretation and Usage
* Wave Function: The wave function introduces cyclical patterns into the price data, which can help identify potential turning points or momentum shifts.
* RSI: The RSI provides a measure of the speed and change of price movements relative to recent price changes. When applied to the smoothed signal, it can help identify overbought and oversold conditions, as well as potential divergences between price and momentum.
* Combined Indicator: The combination of the wave function and RSI aims to provide a more sensitive and potentially earlier indication of market reversals.
* Signals:
* Crossovers: Crossovers of the RSI line above or below the overbought/oversold lines can be used to generate buy or sell signals.
* Divergences: Divergences between the price and the RSI can indicate a weakening trend.
* Oscillations: The amplitude and frequency of the oscillations in the RSI can provide insights into the strength and duration of market trends.
How it Reflects Market Volatility
* Amplified Volatility: The wave function can amplify the volatility of the price data, making it easier to identify potential turning points.
* Smoothing: The decay factor helps to smooth out short-term fluctuations, allowing the indicator to focus on longer-term trends.
* Sensitivity: The combination of the wave function and RSI can make the indicator more sensitive to changes in market momentum.
In essence, this custom indicator attempts to enhance traditional RSI analysis by incorporating a cyclical component that can potentially provide earlier signals of market reversals.
Note: The effectiveness of this indicator will depend on various factors, including the specific market, time frame, and the chosen values for the frequency and decay parameters. It is recommended to conduct thorough backtesting and optimize the parameters to suit your specific trading strategy.
Bitcoin Rainbow WaveBitcoin ultimate price model:
1. Power Law + 2. Rainbow Narrowing Bands + 3. Halving Cycle Harmonic Wave + 3. Wave bands
This powerful tool is designed to help traders of all levels understand and navigate the Bitcoin market. It works exclusively with BTC on any timeframe, but looks best on weekly or daily charts. The indicator provides valuable insights into historical price behavior and offers forecasts for the next decade, making it essential for both mid-term and long-term strategies.
How the Model Works
Power Law (Logarithmic Trend) : The green line represents the expected long-term price trajectory of Bitcoin based on a logarithmic regression model (power law). This suggests that Bitcoin's price generally increases as a power of 5.44 over time passed.
Rainbow Chart : Colored bands around the power law trend line illustrate a range of potential price fluctuations. The bands narrow esponentially over time, indicating increasing model accuracy as Bitcoin matures. This chart visually identifies overbought and oversold zones, as well as fair value zones.
Blue Zone : Below the power law trend, indicating an undervalued condition and a potential buying zone.
Green Zone : Around the power law trend, suggesting fair value.
Yellow Zone : Above the power law trend, but within the rainbow bands. Exercise caution, as the price may be overextended.
Red Zone : Far above the power law trend, indicating strong overbought conditions. Consider taking profits or reducing exposure.
Halving Cycle Wave : The fuchsia line represents the cyclical wave component of the model, tied to Bitcoin's halving events (approximately every four years). This wave accounts for the price fluctuations that typically occur around halvings, with price tending to increase leading up to a halving and correct afterwards. The amplitude of the wave decreases over time as the impact of halvings potentially lessens. Additional bands around the wave show the expected range of price fluctuations, aiding traders in making informed decisions.
Customizing Parameters
You can fine-tune the model's appearance by adjusting these input parameters:
show Power Law (true/false): Toggle visibility of the power law trend line.
show Wave (true/false): Toggle visibility of the halving cycle wave.
show Rainbow Chart (true/false): Toggle visibility of the rainbow bands.
show Block Marks (true/false): Toggle visibility of the 70,000 block interval markers.
Using the Model in Your Trading Strategy
Combine this indicator with technical analysis, fundamental analysis, and risk management techniques to develop a comprehensive Bitcoin trading strategy. The model can help you identify potential entry and exit points, assess market sentiment, and manage risk based on Bitcoin's position relative to the power law trend, halving cycle wave, and rainbow chart zones.
Price-Mapped Multi-Cycle Sine WavesThe primary function is to overlay a series of sine wave patterns onto a chart, providing a nuanced and visually intuitive representation of market dynamics.
Key features of this script include:
User-Defined Parameters: It allows users to input various parameters such as start bar (of the sine wave, so that we can start at a dynamic point), start date of the cycle plots, price range, and cycle lengths. These parameters enable customization of the sine wave patterns according to the user's specific analytical needs.
Multiple Sine Wave Cycles: It can generate up to ten different sine wave cycles, each with its own length and activation toggle.
Dynamic Visualization: The script plots these sine waves on the TradingView chart, each with a distinct color and the ability to offset the waves based on user input. This visual differentiation aids in easy identification and comparison of the different cycles.
Average Wave Calculation: Additionally, the script calculates an average wave based on the enabled cycles, providing a consolidated view of the market movement trends.
In essence, this script is a versatile tool for technical analysts and traders, offering a unique way to visualize and analyze market cycles and trends through the lens of sine wave theory. It stands as a testament to the confluence of mathematical elegance and practical financial analysis.
TrendGuard Pullback Trader Indicators [Quantigenics]The 'TrendGuard Pullback Trader Indicators' offers a synergistic representation of Trend Wave, Trend Pulse, and Trend Strength, each interrelated to provide intuitive and comprehensive market analysis—combining momentum, trend fluctuation insights, and trend strength in one cohesive tool.
The "TrendGuard Pullback Trader Indicators " utilize a novel approach in market trend analysis, distinctly combining multiple Exponential Moving Averages (EMA) layers for enhanced momentum tracking. This script employs a triple-layered EMA system for the Trend Wave component, adeptly filtering market noise and providing a refined view of underlying momentum. In parallel, the Trend Pulse feature contrasts current prices against a double-EMA of modified averages, offering granular insights into short-term market dynamics. This synergy is further enriched by the Trend Strength Identifier, which leverages the differential between fast and slow EMAs. This element is key in distinguishing significant market trends from minor fluctuations, thus offering a comprehensive gauge of market sentiment. These components, while advanced in their individual functionalities, are integrated to provide a holistic market analysis tool, far surpassing the capabilities of standard trend-following indicators. This sophisticated integration, underpinned by complex mathematical modeling, ensures that the "TrendGuard Pullback Indicators" script is not just a collection of indicators but a refined, cohesive system for strategic trading.
Integrated Analysis System: Trend Wave, Trend Pulse, and Trend Strength Identifier:
Trend Wave : Advanced Momentum Analysis
Calculation : Implements an advanced smoothing technique using a triple-layered Exponential Moving Average (EMA). This complex approach reduces market noise by refining the momentum tracking algorithm, thereby enhancing trend line smoothness.
Output : The output is visualized as a color-changing histogram, pivoting from green to red to indicate bullish and bearish momentum. This histogram is based on a scaled and adjusted Trend Wave value, providing a nuanced understanding of market momentum shifts.
Trend Pulse : Precision in Short-term Market Dynamics
Design : Contrasts a unique combination of high and low prices with their double EMA, diverging from standard closing price analysis. This results in a dynamic indicator sensitive to immediate market shifts.
Function : Acts as a vital complement to Trend Wave, offering fine-grained insights into short-term market behavior. It enhances the overall system by adding depth to the trend context set by the Trend Wave
Trend Strength Identifier: In-Depth Trend Viability Assessment Mechanism
Mechanism : Utilizes a sophisticated differential EMA strategy, comparing fast and slow EMA outputs. The script’s complexity extends beyond basic EMA differences, incorporating advanced trend/noise ratio calculations and trend quality assessments.
Indicator Dynamics : Generates a histogram that colors and positions itself based on the strength and direction of market trends, further informed by calculated trend quality metrics. It crucially differentiates between major trends and minor market noise.
System Synergy :
The three components are designed to operate in unison, forming an integrated trading system. Their interrelation is not merely additive but synergistic, where each element informs and enhances the others, making them indispensable to one another.
This interconnected functionality blends the indicators, as each component is tailored to contribute to a unified decision-making process, rather than functioning as standalone entities. The system's unique construction and its reliance on the interplay between its components underscore its distinctiveness and necessity for combined usage.
How to Trade with the "TrendGuard Pullback Trader Indicators"
Integration with "TrendGuard Pullback Signals" script :
The "TrendGuard Pullback Trader Indicators" script is an integral part of the "TrendGuard Pullback Trader" system, designed to operate in tandem with the "TrendGuard Pullback Trader Signals" script. This script amalgamates three sophisticated indicators, each contributing a unique perspective to market analysis.
This script, while useful as a standalone trading method, is one part of a two-part system. The “TrendGuard Pullback Trader Signals” script can be found below:
Integrated Trend Analysis: Aligning Wave, Pulse, and Strength :
Trend Wave & Trend Pulse Alignment : Look for moments when both the Trend Wave and Trend Pulse indicate a similar direction (both turning green for bullish or red for bearish). This alignment often marks the beginning of a new primary trend.
Confirmation with Trend Strength : Ensure that the Trend Strength histogram supports the new trend. A rising histogram above the lower threshold (white line) indicates growing trend strength.
Assessing Trend Strength and Potential Exhaustion :
Monitoring Threshold Lines : The upper (blue) and lower (white) threshold lines are crucial. When the Trend Strength histogram crosses these lines, it signals significant market conditions:
Above the Upper Threshold (Blue Line): Indicates a very strong trend but be cautious of potential trend exhaustion. A peak above this line may signal that the trend is overstretched.
Below the Lower Threshold (White Line): Suggests a weak or emerging trend, potentially signaling a trend reversal or consolidation phase.
Determining Trending or Ranging Market :
Above Lower Threshold : If the Trend Strength histogram consistently stays above the lower threshold, it suggests a trending market. Use this phase for trend-following strategies.
Below Lower Threshold : When the histogram frequently falls below this line, it may indicate a ranging or choppy market. In such conditions, consider adopting range-bound strategies or tightening stop losses.
Practical Application :
Entry Points : Trades can be initiated when there’s an alignment in Trend Wave and Pulse, coupled with supportive readings in Trend Strength. For instance, long positions during a green Trend Wave and Pulse, with the Trend Strength histogram rising above the lower threshold and vice versa for short entries.
Exit Points and Profit Taking : Consider exiting or taking profits when the Trend Strength crosses above the upper threshold, indicating potential trend exhaustion, especially if the trend strength histogram suddenly drops. Also, look for changes in the Trend Wave and Pulse for additional exit signals.
Alerts Setup : Utilize the provided alert features for key changes in the indicators, especially when the Trend Strength crosses threshold lines, to stay updated on significant market shifts.
Interpreting Indicator Interactions :
Refer to the accompanying images for visual examples of how these indicators interact and signal various market conditions. Understanding their synergy will enhance your ability to recognize key market phases and adjust your trading strategy accordingly.
The "TrendGuard Pullback Trader Indicators" script is intricately designed to be used in conjunction with the "TrendGuard Pullback Trader Signals" script, offering a cohesive and comprehensive trading strategy. Use both scripts together for a more robust trading method.
Adjustable Input Parameters
Each component in the script features customizable settings, designed to offer traders comprehensive control over the indicators. This flexibility allows for tailoring to specific trading styles, market conditions, and time frames. With options for adjusting visibility, selecting price types, modifying calculation lengths, and setting thresholds, these parameters ensure that the tool can be fine-tuned for a high degree of customization and precision, making it adaptable and effective for nearly all markets/symbols and time frames.
Important Usage Guidance: For seamless integration with its counterpart, the "TrendGuard Pullback Trader Signals" script, it's crucial to align the input parameter settings across both scripts. When adjusting values from their defaults, ensure that corresponding parameters in both scripts are identically set. This synchronization is key to achieving a cohesive and accurate representation on your charts.
Show Indicator Name (ShowName):
This parameter controls the display of the indicator's name on the chart. When enabled (`true`), it visually labels the indicator for ease of identification. Disabling (`false`) this feature offers a cleaner visual by removing the label.
Show Trend Wave Indicator (ShowTrendWave):
Activates or deactivates the Trend Wave indicator. When active (`true`), it displays a histogram based on the triple-layered exponential moving average (EMA) of the selected price type, providing a visual representation of market momentum trends. Deactivating (`false`) simplifies the chart by removing this histogram.
Trend Wave Price (TrendWavePrice):
Specifies the price data (close, open, high, low) used in calculating the Trend Wave. This choice affects how the Trend Wave responds to market movements, with each price type offering a different perspective on market momentum.
Trend Wave Length (TrendWaveLength):
Determines the overall calculation period for the triple-layered EMA in the Trend Wave, influencing its sensitivity. A higher value leads to a smoother, less volatile wave, focusing on longer-term market trends, whereas a lower value makes it more responsive to recent price actions.
Show Trend Pulse Indicator (ShowTrendPulse):
This parameter toggles the display of the Trend Pulse indicator, which analyzes the divergence between the current closing price and a double-EMA of a modified price average, providing insight into immediate market dynamics. Enabling (`true`) it adds this analysis to the chart, while disabling (`false`) removes it for focus on other trends.
Trend Pulse Length (TrendPulseLength):
Sets the length for the main double-EMA calculation in the Trend Pulse. A higher number smoothens the indicator, reducing sensitivity to minor price changes and highlighting more significant short-term trends.
Show Trend Strength Indicator (ShowTrendStrength):
Controls whether the Trend Strength indicator is displayed. This indicator uses a differential approach between fast and slow EMAs to assess the market's trend strength. Enabling it (`true`) provides a histogram view of the trend’s robustness, whereas disabling (`false`) omits this analysis.
Fast Average Length (FastAvgLen):
Specifies the period for the fast EMA in the Trend Strength indicator. Shorter periods make the EMA more sensitive to recent price changes, ideal for identifying new trend formations.
Slow Average Length (SlowAvgLen):
Determines the period for the slow EMA in the Trend Strength indicator. A longer period smoothens the EMA, useful for identifying sustained trend directions.
Threshold High (ThresholdHi):
This value sets a high threshold for the Trend Strength indicator. Values exceeding this threshold indicate a strong and established market trend, which can be critical for strategies focusing on trend continuity.
Threshold Low (ThresholdLow):
Defines a low threshold for the Trend Strength indicator. Values below this threshold suggest weak or emerging trends, signaling potential trend reversals or consolidations.
Threshold Trend (ThreshTrend):
Establishes a specific threshold within the Trend Strength indicator for identifying significant trends. Exceeding this threshold often suggests a trend with potential trading relevance.
Enable Threshold Low (ThresholdLowOnOff):
This option enables or disables the low threshold in the Trend Strength calculation. It allows traders to customize the indicator’s sensitivity to weaker trends.
Average Line (AvgLine):
Adjusts the period for an additional EMA line in the Trend Strength indicator. This line acts as a smoothing reference for the Trend Strength. This can also act as a threshold reference as when its below the ‘Threshold Low’ line this could identify sideways/choppy conditions.
Conclusion:
The "TrendGuard Pullback Trader Indicators" script provides a multidimensional analysis platform, combining in-depth momentum tracking, immediate market movement insights, and robust trend evaluation.
Remember, trading involves risk, and past performance is not indicative of future results.
You can see the “Author’s instructions" below to get immediate access to TrendGuard Pullback Trader Indicators & the rest of the “Quantigenics Premium Indicator Suite”.
Trend/Retracement - ZigZag - New wayZigZag for Trend and Retracements - New way
It's another way to plot ZigZag based on lookback period for trend and % of trend lookback period to plot retracements.
█ OVERVIEW
Plot ZigZag, Trend lines, Retracements, Support levels, Resistance levels
█ Objective:
Draw ZigZag lines along with unbroken support and resistance levels. ZigZag lines are drawn for main trend and the retracements.
Main Trend – This is calculated based on lookback period.
Retracements – Retracements are calculated as 25% of main trend.
Support and Resistance line: The indicator draws 2 types of support and resistance lines
1. Un-broken – Once formed (plotted), these are the support and resistance which are not yet broken
2. Tested – One can also choose to see support and resistance lines which are tested but not broken. Tested support/resistance are those levels which are touched by high/low price but close price has not crossed the level.
█ How main trend point is calculated:
E.g.
Chart timeframe = 15m
Lookback period = 250
Retracement = 25% of main trend ( 25% of 250 = 62 )
A price point on a chart is considered as trend point if distance between current price and previous highest price is 250 candles
A price point is considered as a retracement if distance between current price and previous highest price is 62 candles. Please note retracements are calculated only after finding a main trend point.
█ Input parameters:
Zigzag Parameters
Use predefined Lookback – If checked pre-defined timeframe-based lookback parameters are used.
Trend lookback candles – If ‘Use predefined Lookback’ is unchecked then this value is used as lookback period.
Retracement % of look back candles– If ‘Use predefined Lookback’ is unchecked then this value is used for calculating retracement lookback period
Mark retracements – If unchecked only main trend lines are plotted
Plot support/resistance – To plot support/resistance levels
Show support/resistance tested lines – If checked tested support/resistance liens are shown on the chart
█ TF based Lookback period config (Defaults are set as specified below, One can change these defaults to use different lookback periods)
The defaults set here are used based on the chart timeframe. e.g. if chart timeframe is changed from say 15m to 60m then 60m chart defaults (i.e. trend lookback = 90) are used to plot the trend and the retracements. At the bottom-right of the chart, parameters used for plotting are displayed all the time.
Timeframe in minute – Default = 5m
Trend lookback candles – Default = 375 (~ 5 days of data)
Timeframe in minute – Default = 15m
Trend lookback candles – Default = 250 (~10 days of data)
Timeframe in minute – Default = 60m
Trend lookback candles = Default = 90 (~ 15 days of data)
Trend lookback candles for timeframe 'D' – Default = 30 (~1 month data)
Trend lookback candles for timeframe 'W' – Default = 21 (~6 months data)
Trend lookback candles for timeframe 'M' – Default = 12 (~1year data)
Retracement % of look back candles – Default = 25%
█ When and where one can use this indicator (Refer to chart examples)
To view support and resistance based on lookback period
To view ZigZag lines
One can use it to find chart patterns easily
Trend and retracement lines can help in drawing Elliott waves.
█ Chart examples:
1. Chart patterns can be easily identified - One can disable the candle charts which will help to identify and draw chart patterns easily
2. Trend and retracement lines can also help is analyzing charts (e.g. Elliott Waves can be marked based on trend lines)
3. Tested but not broken support and resistance lines can be viewed
4. You can select 'NOT' to plot tested support and resistance lines
5. Uncheck the Mark retracements to plot main trend lines (Retracements are not marked)
Munich's Momentum Wave V2MUNICH'S MOMENTUM WAVE VERSION 2 IS LIVE!!!
There are a few big things to note with this one.
I decided to upload this as an entirely new script due to the number of changes differing from the first version, but as the last one, this will still work on ANY TIMEFRAME, ANY ASSET CLASS, ANY PRICE! .
This momentum wave indicator now will give you data for when trend could turn, and two momentum indicators to help you decide when to take an entry.
First off,
*I have added an alma ma (alma) that will track momentum alongside price action and further lead the indicator consisting of the Munich waves.
* The background feature will track the price using a method derived from the Bollinger bands, after calculations, it will color the background based on the average of the momentum's ema's, the alma ma, and also the alma in comparison to the alma's value pre offset ( the offset is 3, following the basis).
*There are now 5 basis values given from the increase in ema samples.
If anyone has any questions feel free to pm me or comment below. Thank you guys for the support! :)
INDEX:BTCUSD TVC:NDQ AMEX:SPY BITSTAMP:ETHUSD BINANCE:BTCUSDT FX:USDJPY NASDAQ:AAPL