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
Recherche dans les scripts pour "wave"
Trade Wave [Bluechip Algos]Trade Wave is a momentum-based indicator designed to show reversal signals. Most of the time, markets are in range bound and this indicator tries to show you the overbought and oversold zone of the time frame you select. It works well during range bound market giving you reversal signals at highs and lows of the range. One can make use of "Momentum tuning" in inputs section to pick the level of momentum aggressiveness. If value is higher, signals will be lesser and if value is low signals will be more. One can also choose different types of stop-losses and targets.
Stop Loss Types:
Fixed SL: Set a fixed stop loss value for consistent risk management.
Dynamic SL: Adjusts with the market, providing a flexible stop loss that moves with price changes.
Previous Candle SL: Stop losses based on the recent low (for sell signals) or high (for buy signals) of the last few candles.
Target Types:
Fixed Target: Set a fixed target value for consistent profit goals.
Dynamic Target: Adjusts with market movements to maximize potential gains.
Risk:Reward Target: Define targets based on SL risk:reward ratios (e.g., 1:2), allowing for personalized risk management strategies.
Suggestion: It's better to take reversal confirmation from multiple time frames instead of relying on just one.
Prometheus Fractal WaveThe Fractal Wave is an indicator that uses a fractal analysis to determine where reversals may happen. This is done through a Fractal process, making sure a price point is in a certain set and then getting a Distance metric.
Calculation:
A bullish Fractal is defined by the current bar’s high being less than the last bar’s high, and the last bar’s high being greater than the second to last bar’s high, and the last bar’s high being greater than the third to last bar’s high.
A bearish Fractal is defined by the current low being greater than the last bar’s low, and the last bar’s low being less than the second to last bar’s low, and the last bar’s low being less than the third to last bar’s low.
When there is that bullish or bearish fractal the value we store is either the last bar’s high or low respective to bullish or bearish fractal.
Once we have that value stored we either subtract the last bar’s low from the bullish Fractal value, and subtract the last bar’s high from the bearish Fractal value. Those are our Distances.
Code:
isBullishFractal() =>
high > high and high < high and high > high
isBearishFractal() =>
low < low and low > low and low < low
var float lastBullishFractal = na
var float lastBearishFractal = na
if isBullishFractal() and barstate.isconfirmed
lastBullishFractal := high
if isBearishFractal() and barstate.isconfirmed
lastBearishFractal := low
//------------------------------
//-------CACLULATION------------
//------------------------------
bullWaveDistance = na(lastBullishFractal) ? na : lastBullishFractal - low
bearWaveDistance = na(lastBearishFractal) ? na : high - lastBearishFractal
We then plot the bullish distance and the negative bearish distance.
The trade scenarios come from when one breaks the zero line and then goes back above or below. So if the last bullish distance was below 0 and is now above, or if the last negative bearish distance was above 0 and now below. We plot a green label below a candle for a bullish scenario, or a red label above a candle for a bearish one, you can turn them on or off.
Code:
plot(bullWaveDistance, color=color.green, title="Bull Wave Distance", linewidth=2)
plot(-bearWaveDistance, color=color.red, title="Bear Wave Distance", linewidth=2)
plot(0, "Zero Line", color=color.gray, display = display.pane)
bearish_reversal = plot_labels ? bullWaveDistance < 0 and bullWaveDistance > 0 : na
bullish_reversal = plot_labels ? -bearWaveDistance > 0 and -bearWaveDistance < 0 : na
plotshape(bullish_reversal, location=location.belowbar, color=color.green, style=shape.labelup, title="Bullish Fractal", text="↑", display = display.all - display.status_line, force_overlay = true)
plotshape(bearish_reversal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Bearish Fractal", text="↓", display = display.all - display.status_line, force_overlay = true)
We can see in this daily NASDAQ:QQQ chart that the indicator gives us marks that can either be used as Reversal signals or as breathers in the trend.
Since it is designed to provide reversals, on something like Gold where the uptrend has been strong, the signals may be just short breathers, not full blown strong reversal signs.
The indicator works just as well intra day as it does on larger timeframes.
We encourage traders to not follow indicators blindly, none are 100% accurate. Please comment on any desired updates, all criticism is welcome!
Elliott Wave Oscillator with Peak DetectionThe Elliott Wave Oscillator with Derivative Peak Detection and Breakout Bands is a technical indicator that blends traditional Elliott Wave theory with modern derivative-based peak detection and breakout bands for a clearer view of market trends.
Key Components:
Elliott Wave Oscillator (EWO):
The core of the indicator is based on the difference between two simple moving averages (SMA): a short-term SMA (default length: 5) and a long-term SMA (default length: 35).
This difference is expressed either as an absolute value or a percentage of the current price, depending on the user’s input.
Smoothing:
The EWO is smoothed using an Exponential Moving Average (EMA) to filter out noise and provide a clearer trend direction.
The smoothing length is adaptive based on the current chart's timeframe (e.g., longer smoothing for daily charts).
Derivative Peak Detection:
The smoothed EWO is analyzed for peaks (positive) and troughs (negative) by calculating the derivative (rate of change) between consecutive values.
Peaks are detected when the derivative transitions from positive to negative, while troughs are identified when the derivative switches from negative to positive.
Tolerance levels are adjustable and vary by timeframe to avoid false signals.
Breakout Bands:
Upper and lower breakout bands are dynamically generated based on the smoothed EWO.
The bands help to filter significant peaks and troughs, only highlighting those that occur beyond the breakout levels.
Users can choose to display these bands and use them to filter out less significant peaks and troughs.
Visualization:
The original, unsmoothed EWO is plotted as a histogram, with positive values in green and negative values in red.
The smoothed EWO is plotted as a blue line, providing a clearer view of the underlying trend.
The breakout bands, if enabled, are plotted as white lines to visualize the upper and lower bounds of the oscillator's movement.
Positive peaks and negative troughs that meet the filtering criteria are marked with purple triangles (for peaks) and red triangles (for troughs) on the chart.
Customization Options:
Timeframe-based Smoothing and Tolerance: Different smoothing lengths and tolerance levels can be set for daily, hourly, and 5-minute charts.
Breakout Bands: Users can toggle the display of breakout bands and adjust their visual properties.
Peak Filtering: Peaks and troughs can be filtered based on whether they break out beyond the bands, or all peaks can be shown.
This indicator provides a unique blend of trend detection through the Elliott Wave Oscillator and derivative analysis to highlight significant market reversals while offering breakout bands as a filtering mechanism for false signals.
T-Wave Pattern IdentifierA T-wave might describe a pattern where the price movement forms a "T" shape on the chart, which could involve:
Strong Vertical Movement (The Stem of the T):
This could represent a sharp, decisive move in one direction (up or down), often occurring in a single candle or a few candles. This movement could be seen as the "stem" of the T.
For example, a sudden spike up in price followed by a horizontal consolidation.
Horizontal Movement (The Cross of the T):
Following the sharp move, the price might consolidate sideways, forming a horizontal base or resistance/support level, which creates the top cross of the "T."
This could indicate a pause or a consolidation phase after a significant move, where the price moves within a narrow range.
Contexts Where a T-Wave Pattern Might Be Useful:
Breakout Scenarios: If a T-wave forms after a significant upward or downward movement, it could suggest a potential continuation in the direction of the initial move, especially if the price breaks out of the consolidation range.
Reversal Signals: Alternatively, the T-wave could act as a reversal pattern if the price fails to continue in the direction of the initial move and instead breaks out in the opposite direction.
T-Wave Logic Example:
Stem (Vertical Movement):
Identify a candle or series of candles with a significant price move (e.g., a large-bodied candle with a relatively small wick). This shows momentum in one direction.
Cross (Horizontal Movement):
Following the vertical move, identify a consolidation phase where the price moves sideways in a relatively tight range. This could be visualized as a series of small candles with overlapping highs and lows.
Bitcoin Wave RainbowThis Bitcoin Wave Rainbow model is a powerful tool designed to help traders of all levels understand and navigate the Bitcoin market. It works only with BTC in any timeframe, but better looks in dayly or weekly timeframes. It provides valuable insights into historical price behavior and offers forecasts for the next decade, making it an essential asset for both short-term and long-term strategies.
How the Model Works
The model is built on a logarithmic trend, also known as a power law, represented by the green line on the chart. This line illustrates the expected price trajectory of Bitcoin over time. The model also incorporates a range of price fluctuations around this trend, represented by colored bands.
The width of these bands narrows over time, indicating that the model becomes increasingly accurate as it progresses. This is due to the exponential decrease in the range of price fluctuations, making the model a reliable tool for predicting future price movements.
Understanding the Zones
Blue Zone: This zone signifies that the price is below its trend, making it a recommended area for buying Bitcoin. It represents a level where the price is unlikely to fall further, providing a potential opportunity for accumulation.
Green Zone: This zone represents a fair price range, where the price is relatively close to its trend. In this zone, the price may continue to go up or down, depending on the halving season. ransiting up around any halving and transiting down around 2 years after each halving.
Yellow Zone: This zone indicates that the price is somewhat overheated, often due to the hype following a halving event. While there may still be room for the price to rise, traders should exercise caution in this zone, as a price correction could occur.
Red Zone: This zone represents a strong overbought condition, where the price is significantly above its trend. Traders should be extremely cautious in this zone and consider reducing their positions, as the price is likely to revert back towards the trend or even lower.
Using the Model in Your Trading Strategy
This indicator can be used in conjunction with the Bitcoin Wave Model, which complements it by showing harmonic price fluctuations associated with halving events. Together, these indicators provide a comprehensive view of the Bitcoin market, allowing traders to make informed decisions based on both historical data and future projections.
Benefits for Traders
This Bitcoin price model offers numerous benefits for traders, including:
Clear Visualization: The model provides a clear and concise visual representation of Bitcoin's price behavior, making it easy to understand and interpret.
Accurate Forecasting: The model's accuracy increases over time, providing reliable forecasts for future price movements.
Risk Management: The model helps traders identify overbought and oversold conditions, allowing them to manage their risk more effectively.
Strategic Decision-Making: By understanding the different zones and their implications, traders can make more informed decisions about when to buy, sell, or hold Bitcoin.
By incorporating this Bitcoin price model into your trading strategy, you can gain a deeper understanding of the market dynamics and improve your chances of success.
Smart Money Setup 04 [TradingFinder] Three Drive (Harmonic) + OB🔵 Introduction
The "Three Drive" pattern is a well-known formation in technical analysis, recognized for its ability to signal potential trend reversals in price action. Within the realm of trading, particularly in the context of "Reversal Patterns," the Three Drive pattern holds significance as a reliable indicator of shifts in market sentiment.
🟣 Bullish 3 Drive
This pattern typically manifests at a price bottom, where a sequence of lower lows suggests a prevailing negative trend. However, within the structure of the Three Drive pattern, a notable occurrence unfolds.
The second low breaches the range of the first low, followed by the third low surpassing the range of the second low. These penetrations signify a diminishing selling pressure and an emerging buying interest.
Traders often await the confirmation of the third low surpassing the second low as an entry point, with price targets set at the highs formed within the Three Drive pattern.
🟣 Bearish 3 Drive
Conversely, the Bearish Three Drive pattern emerges at a price top, characterized by a sequence of higher highs indicating an upward trend. Yet, amidst this apparent bullish momentum, a shift occurs.
The second high breaks beyond the range of the first high, succeeded by the third high exceeding the range of the second high. These breaches signify a waning buying strength and a resurgence in selling pressure.
Entry into a trade is often executed after the confirmation of the third high surpassing the second high, with targets set at the lows formed within the Three Drive pattern.
Importance :
Understanding the Three Drive pattern's significance extends beyond mere technical analysis. It bears resemblance to other established patterns, such as the Harmonic Pattern and Ending Diagonal within the Elliott Wave Theory.
Recognizing these parallels aids traders in comprehending broader market dynamics and potential price movements.
🔵 Formation of 3 Drive in Order Block Zone
The convergence of the Three Drive pattern with the concept of the Order Block Zone introduces a nuanced layer to traders' analytical approach.
In "Price Action" methodology, Order Blocks represent areas on the price chart where significant market players, such as institutional traders, have executed notable orders.
These zones often act as barriers, with price encountering resistance or support upon reaching them.
When the Three Drive pattern forms within an Order Block Zone, it signifies a confluence of market dynamics.
The completion of the pattern within this zone suggests a potential reversal in the prevailing trend, augmented by the presence of significant institutional orders.
Traders incorporate these Order Blocks into their analysis to identify probable levels where price may change direction, enhancing the reliability of their trading decisions.
🔵 How to Use :
To effectively utilize the Three Drive pattern within the Order Block Zone, traders seek alignment between the completion of the pattern and the presence of significant Order Blocks.
This convergence enhances the reliability of the pattern's signals, increasing the likelihood of successful trade outcomes.
Bullish Three Drive in Demand Zone :
Bearish Three Drive in Supply Zone :
Settings :
You can set your desired "Pivot Period" via settings for the indicator to identify setups based on it.
Fibonacci Golden Wave | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Fibonacci Golden Wave indicator! This indicator plots the Fibonacci golden zone from the last highs / lows instead of the pivots so that the resulting zone is shaped like a "wave". We believe this will help you to see the latest trend of the Fibonacci retracement levels easier. For more information of the working progress of the indicator, check the "How Does It Work" section of the description.
Features of the new Fibonacci Golden Wave Indicator :
Plots Fibonacci Golden Zone Based On Highs / Lows
A Different Approach To Fibonacci Retracement Levels
Customizable Swing Range & Retracement Levels
Customizable Visuals
🚩UNIQUENESS
The Fibonacci Golden Zone is a widely used concept in trading. To achieve the golden zone, the Fibonacci retracement levels are generally placed between pivot high / lows, resulting in a rectangular zone. However, this indicator will place the Fibonacci retracement levels between the last highest / lowest points going back from the current bar, resulting in a "wave" shape. This will help traders understand the latest trend of the Fibonacci golden zone. The ability to change the Fibonacci retracement levels to your liking in the settings is another unique function of this indicator.
📌 HOW DOES IT WORK ?
To calculate the Fibonacci wave, first of all we need to place a line at the lowest low and the highest high of the last 20 bars (can be changed from the settings)
Then, Fibonacci retracement levels are placed between those lines.
For the next step, put two points in the (1.0 - 0.618) = 0.382 and (1.0 - 0.5) = 0.5 (can be changed from the settings) levels of the Fibonacci retracement.
Repeat this step for each bar in the chart, then connect all the points.
Instead of a pivot approach to the Fibonacci retracement levels, this approach will not need a new pivot point to form before calculating the new Fibonacci golden zone, thus indicating the latest trend of the current golden zone.
🚨HOW YOU CAN USE THIS INDICATOR
Fibonacci retracement tool is typically used to find entries after a pullback in an uptrend or downtrend. The Fibonacci Golden Wave can be used in the same way. It can be used to find entries after markets retrace. In this example, the Fibonacci Golden Wave is able to catch 2 pullback opportunities to enter long in the market with the trend.
⚙️SETTINGS
1. General Configuration
Swing Range -> This setting determines how the highest high / lowest low levels are calculated. This essentially means that the script will look back X bars before the current bar in calculation to find the highest / lowest wick points.
2. Golden Zone
Here you can select which range of the Fibonacci retracement levels should be considered as the golden zone. The default value is 0.5 - 0.618.
Elliot Wave Helper Table█ OVERVIEW
This indicator is intend to be helper to help Elliot Wave user to properly Elliot Wave tools according to correct degree such as 12345 or ABCWXY. The abbreviation changes according to timeframe.
█ FEATURES
1. Abbreviation degree adaptive to timeframe. Eg : Subminutte for 1 minute chart, etc.
2. Works for custom timeframe. Eg : Subminutte for 1 to 4 minute chart, etc.
3. Show reference table if necessary.
█ REFERENCE
Adaptive Elliot Wave Degree Chart
█ EXAMPLES / USAGES
Event Locator BasicUsable under any conditions and in all markets, the 'event locator' provides a foundational layer for any count-based trading strategy or system. This specific installment color codes events - all down events are green, up events are blue, double-marked events are red, and smooth events are gray. It also wraps the price sequence in a 3-d line landscape plot - providing a visual using lines that are event sensitive. Though events are sometimes referred to as 'fractals,' this is not a fractal tool. These marks are based on 3 candles, not 5 as is common with the Bill Williams fractal scripts. Every countable event on the chart will be marked using this tool. Really, Elliott Wave should have told you about this... (because you can't legitimately count w/o it)
//This indicator was originally a mod of the 'Williams Fractals' indicator - modified by Erek A.D., Nov. 2017
//It was rewritten from the ground up by 'Brobear' in Sept./Oct. 2018
//This code marks 'rough' AND 'smooth' EVENTS in price flow
//EVENTS are naturally created in markets when SEPARATION occurs at candle tips
//SEPARATION happens when a high is flanked by lower highs or a low is flanked by higher lows
//EVENT LOCATORS like this provide an objective foundation for counting price movement
DlineDline is a indicator that was developed by B-Negative. This indicator was developed under convergence logic. If we have many information of prices, when the information was averaged with more enough, the average line will be the linear line that has direction. The direction of this linear line can help traders to analyze the direction of trends. Dline was made with TEMA, EMA, DEMA, and Dline line that is a average line between DEMA and EMA.
Under B-Negative's concept, DEMA and EMA that are average lines will convergence and have same direction when the trends are coming. Amount of data must more enough and diferrect by assets' type. However, user can change value of DEMA, Dline, EMA, and TEMA by themself under 7 concepts below.
1. EMA will convergence to close Dline when the trend will be changing.
2. The uptrend will occure when EMA above/below Dline and candle sticks are green/red color.
3. TEMA was setted similair DEMA.
4. When new high/low of wave cross TEMA and can not retrun to create higher/lower high/low (At oversold/overbought, Stocastic 9,3,3 counting with loop technique), that is exit point of position.
5. Difference of timeframe or assets could use different parameters. (Setting based on 4 rule above.)
6. Divergence between Dline and EMA mean sentiment of assets are sideways.
7. If Dline and EMA look like same line, the trend is most strength trend.
Dline use thickness = 4
EMA use thickness = 1
This ex. is timeframe day.
Chervolinos-Wave-PM-ForecastThe Wave PM (Whistler Active Volatility Energy – Price Mass) indicator is an oscillator described in Mark Whistler's book, Volatility Illuminated.
The Wave PM is specifically designed to help read volatility cycles. When we visualize volatility cycles as a chart, we can get a clear view of the market volatility phases in multiple time frames. This indicator forms an arithmetic mean over 30 observed periods. Traders can thus get a better insight into "potential" volatility from up to pent-up energy, the different zones give strong help to predict future price developments.
Possible interpretation patterns:
You are at the end of a long uptrend and you want to know if the price is going to go down, if the indicator shows red and the value is above 25, it is likely to do so.
You're in a downtrend and there's a bit of a recovery phase, so you might be wondering if it's going to continue when the indicator shows green. It would go further with yellow, but with green it can be assumed that it is going down rapidly.
Special thanks to sourcey who programmed the 3D Wave-PM.
This variant of sourcey looks very nice, but was too confusing for me. In order to get a strong overview, forming an arithmetic mean is very useful.
I hope you and the Mods like my version
Best regards, Chervolino
TTM Wave ABC By GanymedeNilTo facilitate the production of an open source version of the strategy TTM Wave ABC
3D Sine WaveIt's a 3D sine wave! Cool!
I made a cube follow a sine wave, it doesn't reflect any data on the chart, it just looks pretty. There are some settings to play around with, too.
You could plug the cube into any input you like, just replace the 'wave' variable with whatever you want.
Watch it on the 1 second timeframe!
RSI Wave SignalsQuick Description: Smoothed RSI with optimized trailing moving average. Look for cross above or cross under signals for buy and sell orders respectively.
VIDYA moving average of RSI incorporated with "optimized trend tracker" system. Thanks to kivancozbilgic and anilozeksi for implementing this great idea on Tradingview. The indicator adds "1,000" to the RSI MA values for more natural and accurate percentage trailing.
Settings:
- Period MA is the moving average length of the blue line
- Trailing Percentage of MA adjusts the percentage (sort of) trailing level of the moving average.
- RSI Length adjusts the rsi length in calculation.
Trading Tips:
- System might be enhanced by taking signals only on "oversold" or "overbought" territories (i.e <~1020 or >~1080)
- Adjust position size of by 4 times of atr(length=14)
- Take 50% of position as profit when position reaches the 4*atr TP Level (breakeven)
- Let the rest ride.
- Best performing on short frequencies such as 1, 3, 5 mins.
WMA Elliott Wave Oscillator V1.5 [2022]WMA Elliott Wave Oscillator V1.5 Indicator full information
WMA Elliott Wave Oscillator V1.5 has been developed from Moving Average Weight, Elliott Wave , and Down Theory. It’s for the technical analysis users describe the movement price on the present market. It’s different from others because we want to process with the Moving Average Weight ( WMA ) formulas
We decided to adjust our unique reading platform to WMA Elliott Wave Oscillator V1.5 we have been developed to clarify the adjustment of the value and the price for clarifying adjustment of the value and the price from the zero line. It’s the main dividing between the buy price line and the selling price line.
When the green candlestick stands above the zero line that means Uptrend.
When the red candlestick is below the zero line that means a Downtrend.
WMA Elliott Wave Oscillator V1.5 is useful for clearing up or down trading types with horizontal line colors
Elliot wave : Wave 3 finder This indicator built for find wave 3 of elliot wave and It also calculate risk reward ratio, minimum target for wave 3 extention and stop loss.
------------ How to use -------------
1. Add this indicator on your chart.
2. If you asset are follow Condition*, buy label with risk reward ratio, Target price and Stop loss will pop up.
*Condition
-50% rebound from the end of wave 2.
-Indicator can detect wave 0, 1 and 2.
If you find any problem please leave comment.
Double wave-trend Oscillator Buy/Sell signalsBINANCE:ROSEUSDT
This script attempts to use Wave Trend Oscillator's of different lengths in order to identify trade entries and exits for bullish trades. This indicator is strongly recommended to be used with volatile assets or on large time interval charts. You use this script by entering a trade when it signals a green block and exiting when it signals red although these signals could potentially be used as trend reversal signals instead. The script uses two wave trend oscillator's the lengths of which can be edited in the settings, but the general idea is that one is fast and one is slow and these indicate when to buy/sell when they crossover the overbought/sold lines. In the setting you can choose whether the fast or the slow line will be used for buy signal and the other is then used to signal selling. By default this will be ticked on indicating that the fast line crossing over the oversold level will be used for buy signals, if it is ticked off the slow line will be used. The other tickbox is for whether the line used for selling will signal when it first crosses over the overbought line or whether it should signal then it crosses back under the overbought line after having crossed over it, the default value is off indicating that it will signal when it crosses back under the overbought level. The overbought/sold levels should be tweaked on a per asset basis to get the best quality signals.
The original code for the Wave Trend Oscillator comes from LazyBear and was modified and built on to create this indicator.
[blackcat] L1 Wave OscillatorLevel: 1
Background
GET wave theory indicator series contain a indicator called wave oscillator.
Function
This is a modified version of GET wave oscillator with enhanced moving averages which alleviate lag issue to some degree. The feature of it is that it includes overbought and oversold band with dynamic values for indications. Labels and alerts are added.
Key Signal
osc --> wave oscillator output
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
Smoothed Wave ScalperThis one is a little different.
Instead of layering lots of indicators to filter noise, I'm instead using two different kinds of price averaging to smooth the candles and better define the direction. Just select a smoothing value that fits your chart and timeframe. In theory, this should remove a fair bit of noise (although nothing's perfect)
I've managed to determine when the candles change colour, signifying a potential new trend. When the candle colours do change, an alert is fired. It's as simple as that! Wyckoff wave volume analysis is then applied to each alert to validate the move. Further filtering can be achieved using heikin ashi candles if this is your preference.
Alerts are built in for both the candle colour change and the wave filtered signals (long/short). Use long/short for entries and the colour changes for exits.
I'm currently trading with linear regression to help indentify obvious channels and areas of support/resistance. The candles bouncing down off of the upper band can confirm a downward trend, and bouncing off of the lower band can signify an up trend. It's much easier to see with smoothed candles like these and can give you confidence when trading manually. These bands are rendered automatically, but aren't essential to taking a trade.
Elliott Wave Oscillator + TTM SqueezeThe Elliott Wave Oscillator enables traders to track Elliott Wave counts and divergences. It allows traders to observe when an existing wave ends and when a new one begins. It works on the basis of a simple calculation: The difference between a 5-period simple moving average and a 34-period simple moving average.
Included with the EWO are the breakout bands that help identify strong impulses.
To further aid in the detection of explosive movements I've included the TTM Squeeze indicator which shows the relationship between Keltner Channels & Bollinger Bands, wich highlight situations of compression/low volatility, and expansion/high volatility. The dark dots indicate a squeeze, and white dots indicates the end of such squeeze and therefore the start of an expansion.
Enjoy!
LSMA Wave RiderThe LSMA Wave Rider uses Least Squares Moving Average to make a fast oscillator ideal for scalping lower timeframe charts. Upper and lower bands contract during pullback and expand as it "booms". The perfect entry is the first crossover after bands expand. This is a great tool for entering trades.
The above image shows two examples of perfect entries:
1. The upper and lower bands contract getting tighter as it pulls back.
2. The upper and lower bands then begin to expand as it gets ready to fly.
3. The oscillator crosses over showing entry point.
* Please note that this strategy may not work during major downtrends. *
Oscillator 2 is used to detect diversions. Reduce the number to pick up shorter diversions and increase to 200 to pickup larger diversions.
One For All - xMAs : wave ribbon + trend strenght + xMAcrossThis script is not intended to bring anything new or original, but mainly for educational purposes and aesthetic visualization of 10 moving average behavior.
Main features :
Moving Averages : as shown by the wave ribbon (the gradient colored areas opacity is correlated with the distance from the Nth xMA to the last xMA)
Trend Strenght : as shown by the blue/orange/red triangle shape plotted at the bottom of the chart
Moving Average Cross Signal : as shown by the labels green LabelUp and red LabelDown
Also it is designed to be easily customizeable as the settings allow to:
Chose different smoothing method for the 10 xMAs plotted
Manually setup the length of each xMA or simply select a predefined list of convenient length
Choose different MA length not only for crossover but also for crossunder
Trend Strenght explanation :
When all the "fast xMA" are above "slow xMA" there is an opaque Blue UpTriangle plotted at bottom (bull trend)
As more "fast xMA" fall/cross below "slow xMA", the Blue UpTriangle will start fading to a translucid orange UpTriangle
As even more "fast xMA" fall/cross below "slow xMA", a Red DownTriangle is plotted insteand and become more and more opaque as more MA fall below others
Overall, this means that the opacity of the triangles represent trend strenght and a fading trend is shown by the color fading into a translucid orange color
p.s. : If you would like to see some other MA calculation method included, please comment below, I'd be happy to update this script






















