[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.
Tìm kiếm tập lệnh với "wave"
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.
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.
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.
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!
T!M - Wave Trend Strategy with DatesUsing Lazy Bear's original Wave Trend script but I added dates to it to make it easier to backtest.
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
3D Wave-PMThe Wave-PM (Whistler Active Volatility Energy - Price Mass) indicator is an oscillator described in Mark Whistler's book 'Volatility Illuminated'.
The Wave-PM was specifically designed to help read cycles of volatility. When visualizing volatility cycles as a heatmap we can get a clear overview of market volatility phases on multiple timeframes, and more importantly as traders give us insight into 'potential' volatility from to pent up energy signaled by the blue and green plumes which invariably give way to big moves signaled by the orange and red plumes.
This indicator can be quite GPU intensive, so simple and also line based visualization methods are included. Also, its free and open source so go ahead and hack it to your hearts content. Enjoy!
Function Cosine WaveI didn't see a public script for drawing a cosine wave on the chart, with slight changes to RicardoSantos' Function Sine Wave Indicator, so I published this as my first script.
I hope that is useful.
[blackcat] L2 Ehlers Sine Wave IndicatorLevel: 2
Background
John F. Ehlers introuced Sine Wave Indicator in his "Rocket Science for Traders" chapter 9.
Function
blackcat L2 Ehlers Sine Wave Indicator compared to conventional oscillators such as the Stochastic or Relative Strength Indicator (RSI), the Sinewave Indicator has two major advantages. These are
1. The Sinewave Indicator anticipates the Cycle Mode turning point rather than waiting for confirmation.
2. The phase does not advance when the market is in a Trend Mode. Therefore, the Sinewave Indicator tends to not give false whipsaw signals when the market is in a Trend Mode.
An additional advantage is that the anticipation signal is obtained strictly by mathematically advancing the phase. Momentum is not employed. Therefore, the Sinewave Indicator signals are no more noisy than the original signal.
Key Signal
Smooth --> 4 bar WMA w/ 1 bar lag
Detrender --> The amplitude response of a minimum-length HT can be improved by adjusting the filter coefficients by
trial and error. HT does not allow DC component at zero frequency for transformation. So, Detrender is used to remove DC component/ trend component.
Q1 --> Quadrature phase signal
I1 --> In-phase signal
Period --> Dominant Cycle in bars
SmoothPeriod --> Period with complex averaging
DCPhase ---> dominant cycle phase for sine wave
Pros and Cons
100% John F. Ehlers definition translation of original work, even variable names are the same. This help readers who would like to use pine to read his book. If you had read his works, then you will be quite familiar with my code style.
Remarks
The 8th script for Blackcat1402 John F. Ehlers Week publication.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
[A618]Improved Wave channel 3D The Script is an Amalgamation of Two prominent Scripts in One
1. Ehlers 2 Pole ButterWorth Filter
2. Wave Channel 3D
Intuitively,
Buy when Candles are above all the filter Lines
Sell when Candles are below the Filter Lines
CREDITS
