Pesquisar nos scripts por "wave"
3D WAVE-PM (3x Res Log 625-2000) [acatwithcharts]This is an (il)logical extreme adaptation of my (il)logical extreme adaption of Mark Whistler's WAVE-PM script, originally published in his book Volatility Illuminated as a MetaTrader script.
In 3D WAVE-PM, I plotted 32 period lengths from 14 to 600 at height equal to their length, reading out colors based on their value. I chose those lengths to create a relatively continuous indicator on log scale.
What I really wanted to do though was to (1) have the option to view this indicator in either linear or log and (2) not lose as much data resolution across nearly 600 periods. Within the limitations of Pinescript, the best solution I could find was to make multiple indicators hard-coding the different period lengths to create linear and log ranges such that I could make a composite heatmap with several different indicators on the same pane.
...but then I went a step further on the log scale version, noticing that I could easily make a 4th indicator that covers the 625-2000 period region at similar resolution to the other 3. So I did. This is therefore the "4th of 3 indicators" for log scale 3x resolution WAVE-PM.
It adds significant lag on top of what was already caused by 3x WAVE-PM, but I have found it broadly useful enough when looking at large expansions that I'm going to go ahead and launch it. I strongly recommend doing any other analysis in a separate tab from the one in which you have high-res 3D indicators open.
I'm excited to announce that we're putting the finishing touches on a subscription service for the volatility theory indicators, and assuming no hiccups will launch them within days. Subscriptions will be available in several packages through SharkCharts.live
Current pricing and subscription details will be kept up-to-date on SharkCharts.live
Dynamic Fibonacci Retracement 3d / TradingArt3dDynamic Fibonacci Retracement - TradingArt3d.
The Dynamic Fibonacci Retracement is an advanced indicator based on the classic Fibonacci concept, adapted to the dynamic movements of the market. Unlike traditional retracements that remain static, this indicator adjusts Fibonacci levels based on the most relevant moving averages for each market condition, providing more accurate support and resistance levels.
Key Features:
• Fibonacci Moving Averages: Choose Fibonacci moving averages ranging from 1 to 4181.
• Dynamic Recursiveness: Automatically adjusts moving averages through a dynamic algorithm to identify the most representative support and resistance levels on the chart.
• Full Customization: Modify the colors, thickness, and resolution of moving average lines to suit your preferences.
• Mamut Wave Viewer: Intuitive RSI-based visualization to support decision-making in your analysis.
• Visualization Optimization: Options to enhance visualization, including enabling or disabling even or odd recursive moving averages.
Usage Tips:
• Use multiple instances of the indicator to overlay different moving average configurations, obtaining a more precise representation of Fibonacci levels.
• Experiment with different combinations of colors and resolutions to tailor the visualization to your analytical needs.
Archiving Your Analysis:
To preserve your technical analysis and keep a record of your configurations, follow these steps to archive them in TradingView:
1. Adjust the chart and indicator settings as desired.
2. Set your browser zoom to 25% to achieve the best possible resolution and maximize CPU efficiency.
3. Click the "capture image" icon at the top of the screen, or use the keyboard shortcut Alt + Ctrl + S (on PC) or Option + Command + S (on Mac).
4. Save the analysis image in your TradingArt Library for future reference or to share with others.
This functionality allows you to maintain a visual record of your analyses and track your strategies more effectively over time.
Support and Questions:
If you have any questions about using the indicator, feel free to leave a comment in the Comments section of this post or contact me through my TradingView profile. I’ll be happy to help resolve any issues and provide further details about its functionality
3D WAVE-PM (Lite) [acatwithwithcharts]This is a "lite" version of my 3D WAVE-PM script. It is limited to using just SMA and regular STDEV, resulting in a faster-loading and more stable indicator for general use.
3D WAVE-PM is an (il)logical extreme adaptation of Mark Whistler's WAVE-PM script, originally published in his book Volatility Illuminated as a MetaTrader script. Instead of displaying WAVE-PM as several oscillator lines oscillating within a range, it plots 32 different period lengths at height equal to their length and reads out colors based on their value. The period lengths are spaced out such that it makes a relatively continuous heatmap when displayed on log scale. It has the same customization options as my regular WAVE-PM Meow Mix script.
Light and dark colors are utilized to visualize whether the oscillator trace on that period is increasing or decreasing, as determined by comparing to an average of the past few readings. Empirically I found a lookback length of 4 to offer a reasonable balance between reacting quickly and filtering noise.
(It may be necessary to move the scale around to see the indicator - it ranges from 14 to 600 and the scale on the chart seems to default to a range below it.)
I am posting these as invite-only and have a short list of collaborators in mind who will get access if they want it. It is not being made available to the general public as of this posting; I’m vaguely working towards eventually offering being able to offer some sort of paid indicator offering in the future.
Rather than shut the door entirely, I will say that if someone approaches me by PM with a really interesting idea on how they’d like to test this or my other indicators, I’m willing to consider giving access. I’m not giving this away just to anyone who asks and will, for my own time and sanity, probably just ignore requests by people who don't come to me already knowing what this indicator does and how they might want to use it.
I will also say that I am interested in ideas for other applications for heatmap indicators. If you think you have an interesting idea/proposal/collaboration to propose, feel free to PM me.
Price Action based indicator to visualize waves and trendsANAS indicator is a proprietary script that quickly analyze price action and plot 3 price levels around each bar. Namely, green level, yellow level, and red zone. You will easily be able to identify current trend, support/resistance levels, wave count, targets and stops by studying different patterns and scenarios evolving around each bar. When applying the indicator to the same symbol on two different time frames, you differently got an edge!
Nothing can explain things more than giving it a try.
Impulse Oscillator without legs for Price Action & Elliott WavesHi Traders,
I have a newcomer for impulsetrading.
This indicator is an oscillator that show without legs impulses of Price Action .
For the expertise: you can use it for counting elliott waves !
Have fun and winning trades!
JSE Wyckoff WaveThe Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE). Once the wave has been established the volume can also be calculated. Please see code for the JSE Wyckoff Wave Volume which goes with this indicator.
The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks). The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves. This is only my attempt to select 10 stocks and a different selection can be made. I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock so that moves are of equal magnitude. The then provides a view of the overall condition of the market and volume flow in the market.
I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership.
Most Indecies when constructed assume that all high prices and all low prices happen at the same time and therefor inflate the wicks of the bars. To make the wave more representatives for the SMI Wyckoff Wave the price is determined on the 5 minute timeframe which removes this bias. However, TradingView does not calculate properly when selecting a lower timeframe than in current period. A work around is to call the sma of the highs and add these which provides more realistic tails. Please, let me know if there is a better work around this.
The stocks and their weightings are:
"JSE:BTI"*0.79
"JSE:SHP"*2.87
"JSE:NPN"*0.18
"JSE:AGL"*1.96
"JSE:SOL"*1.0
"JSE:CFR"*4.42
"JSE:MND"*1.40
"JSE:MTN"*7.63
"JSE:SLM"*7.29
"JSE:FSR"*8.25
MACD Waves SignalsThia is a standard MACD inclucing thoses signals:
- White line, you are at the possible bottom or top of a flag or a reversal. See it, a warning.
- Green line , possible bullish reversal.
- Red line , possible bearish reversal.
How to use :
- Simply do your waves analysis using the standard MACD of the indicator.
- At critical prices in your analysis, a corresponding bar can help to validate your forecast.
- Do not do your forecast only based on signals.
Happy trading!
Multiple Moving Averages (Rainbow Waves)Two moving averages with toggle for Rainbow Wave mode (total of 16 equally spaced moving averages)
EMA Wave and GRaB Candles by JustUncleLThis is a specialised Price Action Channel (PAC) or Wave that mirrors the indicator used by Raghee Horner, the "34EMA Wave and GRaB Candles".
The Wave consist of:
34 period exponential moving average on the high
34 period exponential moving average on the close
34 period exponential moving average on the low
The GRaB candles colour scheme:
Lime = Bull candle closed above Wave
Green = Bear candle closed above Wave
Red = Bull candle closed below Wave
DarkRed = Bear candle closed below Wave
Aqua = Bull candle closed inside Wave
Blue = Bear candle closed inside Wave
Optionally display a trend direction indication along bottom of chart.
References:
For some details on how Raghee uses this indicator check out this:
www.forexfactory.com
Also her various training and webinar videos on Youtube
Note: This code is licensed under open source GPLv3 terms and conditions. Any modifications to it should be made public and linked to the original code.
Price Wave V.1.0The Price Wave Indicator is very good add-on to the Volume wave which is an important tool in the Wyckoffian Analysis of the stocks. Along with the Volume wave it helps to understand the effort and result ratios and the consequent effect on the stocks. It has to be used in conjunction with the Volume wave and not useful on a standalone basis
BullTrading Chaos Trend WaveHave you ever wonder how the Elliott Wave looks like?
If you trade with price action you are going to love this stuff... It is based on the same Mandelbrot Chaos Theory principles in order to trade with Bill Williams fractals. Chaos Trend Wave indicator displays in your chart the different Elliott wave layers making price action trading very intuitive.
The standard settings are 126, 1, 5, 21 displaying the immediate bigger wave from your current layer, display settings for your current layer and "balance point" are: 126, 1, 3, 13. Use Fib sequence in the last two numbers in order to correctly change between wave layers: 126, 1, 8, 34 and 126, 1, 13, 55 (This is the higher setting, it is very useful to spot and trade trending markets).
MC Waves OscillatorMC Waves Oscillator © is one of the five MC Fractal Studies ©
MC Fractal Studies (c) disassemble the market data in an objective way and organize charts information in order to identify all the various Waves on all the various fractal scales, that make up the typical market charts, and show them to the eyes of investors in an inclusive but detailed way.
The ability to view and examine the multi-scale fractal market structure of a chart can immensely help an investor, giving him an edge that can be used to increase trading performance.
MC Waves SizeMC Waves Size © is one of the five MC Fractal Studies ©
MC Fractal Studies (c) disassemble the market data in an objective way and organize charts information in order to identify all the various Waves on all the various fractal scales, that make up the typical market charts, and show them to the eyes of investors in an inclusive but detailed way.
The ability to view and examine the multi-scale fractal market structure of a chart can immensely help an investor, giving him an edge that can be used to increase trading performance.
Elliot Wave OscillatorEWO Indicator, helps to indentify waves
Similar like LazyBear's Indicator: ElliotWave Oscillator
I extended and changed the following:
Allow custom SMA interval default 5 and 35. Dont use EMAs
Choose input source: default close, f.e. use HL2
Show difference of SMAs in percent based on current candle default "true", this is very useful for historical charts
[RS]MTF Donchian Range Wave Sync V1EXPERIMENTAL: using Donchian channels with diferent lengths to extract multiple time frame's to extract price in range rates. the title may be a tiny bit misleading tho -_-''
update: reversed colors, joined the line zone space to make the waves visually stand out more.
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
Renko Momentum Wave (RMW)Renko Momentum Wave
The Renko Momentum Wave (RMW) is a custom momentum oscillator specifically designed for Renko-based price action analysis. Unlike traditional oscillators that rely on time-based data, the RMW focuses on the directional consistency of Renko bricks, measuring the strength of trend momentum purely based on price movement.
[blackcat] L2 Wave Base CampOVERVIEW
The L2 Wave Base Camp indicator is a technical analysis tool designed to identify trends and potential trading signals by visualizing price and volume data through moving averages and relative strength calculations. It operates in its own panel on the trading chart, providing traders with a clear and color-coded representation of market conditions.
FEATURES
Customizable Base Camp Level: Users can set a horizontal line at a specific level to mark significant price points.
Color-Coded Histograms: Different colors indicate various market conditions, such as price position relative to moving averages.
Labeled Signals: The indicator labels potential "Valley" and "Top" points, suggesting buying and selling opportunities.
Volume Analysis: Incorporates volume data to identify potential trend reversals based on volume trends.
HOW TO USE
Set the Base Camp Level: Adjust the input parameter to define a significant price level.
Interpret Histogram Colors: Use the color-coded histograms to understand the current market condition.
Look for Labeled Signals: Pay attention to "Valley" and "Top" labels for potential trading opportunities.
Analyze Volume Trends: Monitor volume data for signs of trend reversals.
LIMITATIONS
Not a Standalone Tool: Should be used in conjunction with other indicators and analysis methods.
Backtesting Required: Essential to understand historical performance before live trading.
NOTES
The indicator uses moving averages (SMA) and relative strength calculations to smooth data and identify trends.
Crossover events between different moving averages generate buy and sell signals.
THANKS
Special thanks to the original author for developing this insightful trading tool.
[blackat] L1 Funding Bottom Wave█ OVERVIEW
The script "Funding Bottom Wave" is an indicator designed to analyze market conditions based on multiple smoothed price calculations and specific thresholds. It calculates several values such as B-value, VAR2-value, and additional signals like SK and SD to identify buy/sell levels and reversals, aiding traders in making informed decisions.
█ LOGICAL FRAMEWORK
The script consists of several main components:
• Input parameters that allow customization of calculation periods and thresholds.
• A custom function funding_wave that computes various financial metrics and conditions.
• Plotting commands to visualize different aspects of those computations.
Data flows from input parameters into the funding_wave function where calculations are performed. These results are then plotted according to specified conditions. The script uses conditional expressions to define when certain plots should appear based on the computed values.
█ CUSTOM FUNCTIONS
funding_wave Function:
This function takes six arguments: close_price, high_price, low_price, open_price, period_b, and period_var2. It performs several calculations including:
• Price range percentage normalized between lowest and highest prices over 60 bars.
• SMA of this value over periods defined by period_b and period_var2.
• Several moving averages (MA), EMAs, and extreme point markers (highest/lowest).
• Multiple condition checks involving these metrics leading to buy/high signal flags.
Returns: An array containing B-value, VAR2-value, SK-value, SD-value, along with various conditional signal indicators.
█ KEY POINTS AND TECHNIQUES
• Utilizes built-in TA functions (ta.highest, ta.lowest, ta.sma, ta.ema) for smoothing and normalization purposes.
• Implements extensive use of ternary operators and boolean logic to determine plot visibility based on specific criteria.
• Employs column-style plotting which highlights significant transitions in calculated metric levels visually.
• No explicit loops; computations utilize vectorized operations inherent to Pine Script's nature.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
Potential modifications/extensions include:
• Adding alerts for key threshold crossovers or meeting certain conditions.
• Customizing more sophisticated alert messages incorporating current time and symbol details.
• Incorporating stop-loss/take-profit strategies dynamically adjusted by indicator outputs.
Similar techniques can be applied in:
• Developing robust trend-following systems combining momentum oscillators.
• Enhancing basic price action rulesets with statistical filters derived from historical data behaviors.
• Exploring intraday breakout strategies predicated upon sudden changes in market sentiment captured via volatility spikes.
Related concepts/features:
• Using arrays to encapsulate complex return structures for reusability across scripts/functions.
• Leveraging na effectively within plotting constructs ensures cleaner chart presentation avoiding clutter from irrelevant points.
█ MARKET MEANING OF DIFFERENT COLORED COLUMNS
Red Columns ("B above Var2"):
• Market Interpretation: When the red columns appear, it indicates that the B-value is higher than the VAR2-value. This suggests a strengthening upward trend or consolidation phase where the market might be experiencing buying pressure relative to recent trends.
• Trading Implication: Traders may consider this as a potentially bullish sign, indicating strength in the underlying asset.
Green Columns ("B below Var2"):
• Market Interpretation: Green columns indicate that the B-value is lower than the VAR2-value. This could suggest downward trend acceleration or weakening buying pressure compared to recent trends.
• Trading Implication: Traders might interpret this as a bearish signal, suggesting a possible decline in the market.
Aqua Columns ("SK below SD"):
• Market Interpretation: Aqua columns show instances where the SK-value is below the SD-value. This typically signifies that the short-term stochastic oscillator (or similar measure) is signaling oversold conditions but not yet reaching extremes.
• Trading Implication: While not necessarily a strong sell signal, aqua columns might prompt traders to look for further confirmation before entering long positions.
Fuchsia Columns ("SK above SD"):
• Market Interpretation: Fuchsia columns represent situations where the SK-value exceeds the SD-value. This usually indicates overbought conditions in the near term.
• Trading Implication: Traders often view fuchsia columns as cautionary signs, possibly prompting them to exit existing long positions or refrain from adding new ones without further analysis.
Yellow Columns ("High Condition" and "High Condition Both"):
• Market Interpretation: Yellow columns occur when either the SK-value or B-value crosses above predefined high thresholds (e.g., 90). If both cross simultaneously, they form "High Condition Both."
• Trading Implication: Strongly bullish signals indicating overheated markets prone to corrections. Traders may see this as a good opportunity to take profits or prepare for a pullback/corrective move.
Blue Columns ("Low Condition" and "Low Condition Both"):
• Market Interpretation: Blue columns emerge when either the SK-value or B-value drops below predefined low thresholds (e.g., 10). Simultaneous crossing forms "Low Condition Both."
• Trading Implication: Potentially bullish reversal setups once the market starts showing signs of bottoming out after being significantly oversold. Traders might use blue columns as entry points for establishing long positions or hedging against anticipated rebounds.
Light Purple Columns ("Low Condition with Reversal" and "Low Condition Both with Reversal"):
• Market Interpretation: Light purple columns signify moments when the SK-value or B-value falls below their respective thresholds but has started reversing upwards immediately afterward. If both fall and reverse together, it's denoted as "Low Condition Both with Reversal."
• Trading Implication: Suggests a possible early-stage rebound from an extended downtrend or sideways movement. This could be seen as a highly reliable bulls' flag formation setup.
White Columns ("High Condition with Reversal" and "High Condition Both with Reversal"):
• Market Interpretation: White columns denote scenarios where the SK-value or B-value breaches high thresholds (e.g., 90) but begins descending shortly thereafter. Both simultaneously crossing leads to "High Condition Both with Reversal."
• Trading Implication: Indicative of peak overbought conditions followed quickly by exhaustion in buying interest. This warns traders about potential imminent retracements or pullbacks, prompting exits or short positions.
█ SUMMARY TABLE OF COLUMN COLORS AND THEIR MEANINGS
Color Type Market Interpretation Trading Implication
Red B above Var2 Strengthening upward trend/consolidation Bullish sign
Green B below Var2 Downward trend acceleration/weakening buying pressure Bearish sign
Aqua SK below SD Oversold conditions but not extreme Cautionary signal
Fuchsia SK above SD Overbought conditions Take profit/precaution
Yellow High Condition / High Condition Both Overheated market, likely correction coming Good time to exit/additional selling
Blue Low Condition / Low Condition Both Possible bull/rebound setup Entry point/hedging
Light Purple Low Condition with Reversal / Low Condition Both with Reversal Early-stage rebound from downtrend Reliable bulls' flag formation
White High Condition with Reversal / High Condition Both with Reversal Peak overbought with imminent retracement Exit positions/warning
Understanding these color-coded signals can help traders make more informed decisions, whether for entry, exit, or risk management in trading strategies. Each set of colors provides distinct insights into market dynamics and trends, aiding in effective execution of trade plans.
[blackcat]L3 Strong Power Wave █ OVERVIEW
The script is an indicator named ' L3 Strong Power Wave' (SPW) designed to identify buy and sell signals based on the contraction and expansion of candlestick patterns. It calculates various indicators and plots them on a separate chart panel. The main purpose is to detect when candlestick patterns transition from contracting to expanding (buy signal) and from expanding to contracting (sell signal).
█ LOGICAL FRAMEWORK
The script is structured into several key sections:
Input Parameters and Initialization: The script uses indicator() to define the title, short title, and other properties.
Custom Functions: Several custom functions are defined for calculations, including calculate_weighted_moving_average, calculate_spw_variation, and calculate_strong_power_wave.
Calculations: The script performs complex calculations for the SPW indicators using multiple ta.alma and ta.sma functions.
Plotting: The indicators are plotted on the chart using plot().
Signal Detection: The script detects buy and sell signals based on changes in candlestick sizes.
Labeling: Buy and sell signals are indicated on the chart using label.new().
The flow of data and logic involves first calculating the SPW indicators, then plotting them, and finally detecting and labeling the buy and sell signals based on candlestick pattern changes.
█ CUSTOM FUNCTIONS
1 — calculate_weighted_moving_average(src, length, weight) :
• Purpose: Calculates a weighted moving average of the source data.
• Parameters: src (source data), length (period length), weight (weighting factor).
• Return Value: Weighted moving average value.
2 — calculate_spw_variation(base, multiplier) :
• Purpose: Computes a variation of the base value using a simple moving average and a multiplier.
• Parameters: base (base value), multiplier (multiplier factor).
• Return Value: Calculated variation value.
3 — calculate_strong_power_wave(src) :
• Purpose: Calculates multiple SPW indicators including various ta.alma and ta.sma values.
• Parameters: src (source data, typically close).
• Return Value: A tuple containing calculated SPW indicators.
█ KEY POINTS AND TECHNIQUES
• Weighted Moving Average: The script uses a custom function to calculate a weighted moving average, which can provide more emphasis on recent data points.
• Exponential Moving Averages (ALMA): The script uses ta.alma to smooth data, which is useful for identifying trends.
• Custom Indicators: The script defines and uses multiple custom indicators, demonstrating how to create and integrate complex calculations.
• Signal Detection: The script uses logical conditions to detect buy and sell signals based on candlestick pattern changes, showcasing practical application of technical analysis concepts.
• Labeling: The use of label.new() to mark buy and sell signals provides clear visual cues on the chart.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
• Enhancements: The script could be enhanced by adding additional filters or parameters to refine signal accuracy.
• Backtesting: Implementing backtesting to evaluate the effectiveness of the buy and sell signals.
• Optimization: Optimizing the parameters of the moving averages and multipliers to better suit different market conditions.
• Alternative Indicators: Exploring other indicators that could complement or replace the SPW indicators.
• Related Concepts: Understanding the principles of candlestick pattern analysis and how they can be integrated into Pine Script.
