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chartpatternsLibrary "chartpatterns" Library having complete chart pattern implementation method draw(this)   draws pattern on the chart   Namespace types: Pattern   Parameters:      this (Pattern) : Pattern object that needs to be drawn   Returns: Current Pattern object method erase(this)   erase the given pattern on the chart   Namespace types: Pattern   Parameters:      this (Pattern) : Pattern object that needs to be erased   Returns: Current Pattern object method findPattern(this, properties, patterns)   Find patterns based on the currect zigzag object and store them in the patterns array   Namespace types: zg.Zigzag   Parameters:      this (Zigzag type from Trendoscope/ZigzagLite/2) : Zigzag object containing pivots      properties (PatternProperties) : PatternProperties object      patterns (Pattern ) : Array of Pattern objects   Returns: Current Pattern object PatternProperties   Object containing properties for pattern scanning   Fields:      offset (series int) : Zigzag pivot offset. Set it to 1 for non repainting scan.      numberOfPivots (series int) : Number of pivots to be used in pattern search. Can be either 5 or 6      errorRatio (series float) : Error Threshold to be considered for comparing the slope of lines      flatRatio (series float) : Retracement ratio threshold used to determine if the lines are flat      checkBarRatio (series bool) : Also check bar ratio are within the limits while scanning the patterns      barRatioLimit (series float) : Bar ratio limit used for checking the bars. Used only when checkBarRatio is set to true      avoidOverlap (series bool)      patternLineWidth (series int) : Line width of the pattern trend lines      showZigzag (series bool) : show zigzag associated with pattern      zigzagLineWidth (series int) : line width of the zigzag lines. Used only when showZigzag is set to true      zigzagLineColor (series color) : color of the zigzag lines. Used only when showZigzag is set to true      showPatternLabel (series bool) : display pattern label containing the name      patternLabelSize (series string) : size of the pattern label. Used only when showPatternLabel is set to true      showPivotLabels (series bool) : Display pivot labels of the patterns marking 1-6      pivotLabelSize (series string) : size of the pivot label. Used only when showPivotLabels is set to true      pivotLabelColor (series color) : color of the pivot label outline. chart.bg_color or chart.fg_color are the appropriate values.      allowedPatterns (bool ) : array of bool encoding the allowed pattern types.      themeColors (color ) : color array of themes to be used. Pattern   Object containing Individual Pattern data   Fields:      pivots (Pivot type from Trendoscope/ZigzagLite/2) : array of Zigzag Pivot points      trendLine1 (Line type from Trendoscope/LineWrapper/1) : First trend line joining pivots 1, 3, 5      trendLine2 (Line type from Trendoscope/LineWrapper/1) : Second trend line joining pivots 2, 4 (, 6)      properties (PatternProperties) : PatternProperties Object carrying common properties      patternColor (series color) : Individual pattern color. Lines and labels will be using this color.      ratioDiff (series float) : Difference between trendLine1 and trendLine2 ratios      zigzagLine (series polyline) : Internal zigzag line drawing Object      pivotLabels (label ) : array containning Pivot labels      patternLabel (series label) : pattern label Object      patternType (series int) : integer representing the pattern type      patternName (series string) : Type of pattern in string
Perpustakaan Pine Script®
oleh Trendoscope
15
Linear Reg CandlesThe provided Pine Script is a TradingView script for creating a technical analysis indicator called "Humble LinReg Candles." This script includes features such as linear regression for open, high, low, and close prices, signal smoothing with simple or exponential moving averages, and a trailing stop based on Average True Range (ATR). Additionally, the script contains a screener section to display signals for a list of specified symbols. Here is a breakdown of the script: Indicator Settings: It defines various input parameters such as signal smoothing length, linear regression settings, and options for using simple moving averages. Linear regression is applied to open, high, low, and close prices based on user-defined settings. ATR Trailing Stop: It calculates the Average True Range (ATR) and uses it to determine a trailing stop for buy and sell signals. Signals are generated based on whether the close price is above or below the ATR trailing stop. Plotting: The script plots the calculated signal on the chart using the plot function. Buy and Sell Conditions: Buy and sell conditions are defined based on the relationship between the close price and the ATR trailing stop. Plot shapes and bar colors are used to visually represent buy and sell signals on the chart. Alerts: Alerts are triggered when buy or sell conditions are met. Screener Section: The script defines a screener section to display a watchlist of symbols with long and short signals. The watchlist includes a set of predefined symbols with corresponding long and short signals. Table Theme Settings: The script allows customization of the table theme, including background color, frame color, and text color. The size and location of the table on the chart can also be customized. Screener Function: A function getSignal is defined to determine long and short signals for each symbol in the watchlist. The getSym function is used to extract the symbol name from the symbol string. Dashboard Creation: The script creates a table (dashboard) to display long and short signals for the symbols in the watchlist. The table includes headers for "Long Signal" and "Short Signal" and lists the symbols with corresponding signals. Overall, the script combines technical analysis indicators and a screener to help traders identify potential buy and sell signals for a set of specified symbols.
Penunjuk Pine Script®
oleh Venkat7070
7
41-80 F&O MA ScreenerThis Pine Script is a TradingView indicator named "41-80-F&O EMA Screener." It calculates and displays four moving averages (MA1, MA2, MA3, and MA4) and the Relative Strength Index (RSI) on a chart. The script generates buy and short signals based on certain conditions involving the moving averages and RSI. Additionally, it includes a screener section that displays a table of symbols with buy and short signals. Here's a breakdown of the key components: Moving Averages (MAs): MA1: Simple Moving Average with length len1 (green line). MA2: Simple Moving Average with length len2 (red line). MA3: Simple Moving Average with length len3 (orange line). MA4: Simple Moving Average with length len4 (black line). Relative Strength Index (RSI): The RSI is calculated with a length of rsiLengthInput and a source specified by rsiSourceInput. Conditions for Buy and Short Signals: Buy Signal: When MA1 is above MA2 and MA3, and RSI is above 50. Short Signal: When MA1 is below MA2 and MA3, and RSI is below 50. Signal Plots: Buy signals are plotted as "B" below the corresponding bars. Short signals are plotted as "S" above the corresponding bars. Background Coloring: Bars are colored based on their opening and closing prices. Screener Section: The script defines a watchlist (gticker) with 40 predefined symbols. It then calls the getSignal function for each symbol to identify buy and short signals. The results are displayed in a table with long signals in green and short signals in red. Table Theming: The script allows customization of the table's background, frame, and text colors, as well as the text size. The table's location on the chart can also be customized. Please note that the script uses the Mozilla Public License 2.0. Make sure to review and comply with the terms of this license if you plan to use or modify the script.
Penunjuk Pine Script®
oleh Venkat7070
1
1-40-F&O EMA ScreenerThis Pine Script is a TradingView indicator named "1-40-F&O EMA Screener." It calculates and displays four moving averages (MA1, MA2, MA3, and MA4) and the Relative Strength Index (RSI) on a chart. The script generates buy and short signals based on certain conditions involving the moving averages and RSI. Additionally, it includes a screener section that displays a table of symbols with buy and short signals. Here's a breakdown of the key components: Moving Averages (MAs): MA1: Simple Moving Average with length len1 (green line). MA2: Simple Moving Average with length len2 (red line). MA3: Simple Moving Average with length len3 (orange line). MA4: Simple Moving Average with length len4 (black line). Relative Strength Index (RSI): The RSI is calculated with a length of rsiLengthInput and a source specified by rsiSourceInput. Conditions for Buy and Short Signals: Buy Signal: When MA1 is above MA2 and MA3, and RSI is above 50. Short Signal: When MA1 is below MA2 and MA3, and RSI is below 50. Signal Plots: Buy signals are plotted as "B" below the corresponding bars. Short signals are plotted as "S" above the corresponding bars. Background Coloring: Bars are colored based on their opening and closing prices. Screener Section: The script defines a watchlist (gticker) with 40 predefined symbols. It then calls the getSignal function for each symbol to identify buy and short signals. The results are displayed in a table with long signals in green and short signals in red. Table Theming: The script allows customization of the table's background, frame, and text colors, as well as the text size. The table's location on the chart can also be customized.
Penunjuk Pine Script®
oleh Venkat7070
3
RSI Heatmap Screener [ChartPrime]The RSI Heatmap Screener is a versatile trading indicator designed to provide traders and investors with a deep understanding of their selected assets' market dynamics. It offers several key features to facilitate informed decision-making: █ Custom Asset Selection: The user can choose up to 30 assets that you want to analyze, allowing for a tailored experience. █ Adjustable RSI Length: Customize your analysis by adjusting the RSI length to align with your trading strategy. █ RSI Heatmap: The heatmap feature uses various colors to represent RSI values: █ Color coding for labels: Grey: Signifies a neutral RSI, indicating a balanced market. Yellow: Suggests overbought conditions, advising caution. Pale Red: Indicates mild overbought conditions in a strong area. Bright Red: Represents strong overbought conditions, hinting at a potential downturn. Pale Green: Signals mild oversold conditions with signs of recovery. Dark Green: Denotes full oversold conditions, with potential for a bounce. Purple: Highlights extremely oversold conditions, pointing to an opportunity for a relief bounce. █ Levels: Central Plot and Zones: The central plot displays the average RSI of the selected assets, offering an overview of market sentiment. Overbought and oversold zones in red and green provide clear reference points. █ Hover Labels: Hover over an asset to access details on various indicators like VWAP, Stochastic, SMA, TradingView ranking, and Volume Rating. Bullish and bearish indicators are marked with ticks and crosses, and a fire emoji denotes heavily overextended assets. █ TradingView Ranking: Utilize the TradingView ranking metric to assess an asset's performance and popularity. Thank you to @tradingview for this ranking metric. █ Volume Rating: Gain insights into trading volumes for more informed decision-making. █ Oscillator at the Bottom: The RSI average for the entire market, presented in a normalized format, offers a broader market perspective. Green indicates a favorable buying area, while red suggests market overextension and potential short or sell opportunities. █ Heatmap Visualization: Historical RSI values for each selected asset are displayed. Red indicates overbought conditions, while green signals oversold conditions, helping you spot trends and potential turning points. This screener is designed to make entering the market simpler and more comprehensive for all traders and investors.
Penunjuk Pine Script®
oleh ChartPrime
11
Ichimoku Oscillator With Divergences [ChartPrime]The Ichimoku Oscillator is a trading indicator designed to streamline the interpretation of Ichimoku clouds. It aims to refine and condense the complexities of the Chikou (the lag line), presenting its implications in real-time through an oscillator format, beneficial for those familiar with Ichimoku components but to have a new interpretation of their indicators. The basics of an Ichimoku: Conversion Line (Tenkan-Sen): It represents a midpoint of the highest and lowest prices over a specific period, usually 9 periods, reflecting short-term price movements. Base Line (Kijun-Sen): It acts similarly to the Conversion Line but over a longer period, typically 26 periods, representing medium-term price movements. Leading Span A & B (Kumo): Span A is the average of the Conversion Line and Base Line, and Span B is the midpoint of the highest and lowest prices over a usually longer period, typically 52 periods. Their interaction denotes trend direction, and the cloud color changes depending on whether Span A is above or below Span B, indicating bullish or bearish market conditions, respectively. Lagging Span (Chikou Span): It is the current closing price plotted 26 periods behind, assisting in confirming the trend direction and potential momentum. Advantage of an Oscillator: Utilizing the oscillator format allows traders to interpret market dynamics more efficiently by visualizing the momentum and trend strength in a bounded range, enabling quick assessments of overbought or oversold conditions. Creating this oscillator provides multiple advantageous; particularly in sideway markets, helping to identify potential reversal points and offering insights on market entries and exits. When building this oscillator we've put a focus on unique interpretations such as overbought and sold areas and divergences; otherwise not found in traditional Ichimoku techniques. It is important to note these divergences are naturally not 100% real time. When the oscillator turns green; the market is in an uptrend, red for downtrend and yellow for a transitioning market. The center line and the inner most cloud represent a balanced market state. Key Features & Input Parameters: Signal Source: Allows the selection of the price data source for signal generation, such as closing prices, and it’s the foundational parameter upon which the oscillator functions. Normalization Settings: Users can select the normalization mode (“All”, “Window”, or “Disabled”), influencing how the oscillator scales its values. When enabled, it will scale from 100 to -100, allowing the user to understand better the relative positioning of price data. Smoothing: This indicator offers advanced smoothing features, with options for additional smoothing, allowing traders to adjust the signal's sensitivity to price movements. Kumo & Chikou Visibility: Traders can customize the visibility settings of Kumo and Chikou, tailoring the display of each component to their preference, enabling a cleaner and more intuitive view of market conditions. Color Coding: Each component and condition, like bullish or bearish states, can be color-coded, providing visual cues to enhance the interpretability of market trends and states. Color on Conversion: The oscillator provides an option to color the signal based on the crossover of the conversion and base lines. Divergence: The oscillator can detect and highlight regular and hidden bullish and bearish divergences between the signal and price, aiding traders in identifying potential trend reversals or continuations. Alerts: The list of inbuilt alerts are provided below: Inside Cloud: The signal line is inside the cloud. Up Out of Cloud: The signal line crossed above the cloud. Down Out of Cloud: The signal line crossed below the cloud. Future Kumo Cross Bullish: The future Kumo lines have crossed in a bullish manner. Future Kumo Cross Bearish: The future Kumo lines have crossed in a bearish manner. Current Kumo Cross Bullish: The current Kumo lines have crossed in a bullish manner. Current Kumo Cross Bearish: The current Kumo lines have crossed in a bearish manner. Conversion Base Bullish: The conversion line crossed above the base line. Conversion Base Bearish: The conversion line crossed below the base line. Signal Bullish on Conversion Base: The signal line crossed above the maximum of conversion and base lines. Signal Bearish on Conversion Base: The signal line crossed below the minimum of conversion and base lines. Chikou Bullish: The Chikou line crossed above zero. Chikou Bearish: The Chikou line crossed below zero. Signal Over Max: The signal line crossed above the max level. Signal Over High: The signal line crossed above the high level. Signal Under Min: The signal line crossed below the min level. Signal Under Low: The signal line crossed below the low level. Chikou Over Max: The Chikou line crossed above the max level. Chikou Over High: The Chikou line crossed above the high level. Chikou Under Min: The Chikou line crossed below the min level. Chikou Under Low: The Chikou line crossed below the low level. Signal Crossover MA: The signal line crossed over the moving average. Signal Crossunder MA: The signal line crossed under the moving average. Regular Bullish Divergence: Regular bullish divergence detected. Hidden Bullish Divergence: Hidden bullish divergence detected. Regular Bearish Divergence: Regular bearish divergence detected. Hidden Bearish Divergence: Hidden bearish divergence detected. Bounce off of Kumo Up: Bullish Bounce off of Kumo. Bounce off of Kumo Down: Bearish Bounce off of Kumo. By providing a cohesive visualization of the Ichimoku elements and market momentum within a bounded range, this oscillator is a unique tool and insight into markets.
Penunjuk Pine Script®
oleh ChartPrime
22
75-100pipsGreen/Red Arrowed Buy/Sell signals are just simple buy sell signals based on SuperTrend, VWAP, Bollinger, Linear Regression Purple Arrowed Buy/Sell Signals happen when the price/candle cross over or under the yellow outer lines (4.236 fib lines) It's extremely rare and hard for price to stay above these lines therefore we can usually and comfortably buy/sell it, a key information here though when price pumps or dumps super fast and hard to the point of crossing these borders, the trend might also be extremely strong and continous so even if the price temporarily goes back inside the borders as the lines expand over time price can continue riding or crossing these lines back again and continue the uptrend/downtrend, therefore crossing these outer borders doesn't necessarilly and always mean a reversal is due. When analyzing the instrument you're trading the important factors for support/resistance areas are usually the outer lines like i said previously it's super hard for price to be outside these and will almost always get back inside quickly. The Middle thicker green/red line which is Variable Index Dynamic Average should also be a nice pivot line for major support and resistance . All the other lines are also important dynamic support/resistance lines. Their Importance Order 1- Outer Yellow Line (4.236 Fibs) 2- Thicker Middle Green/Red Line (VIDYA) 3- Thinner Upper/Lower Green/Red Line (VIDYA +3, VIDYA -3) 4- The Rest Of The Lines (Fib Lines) You can use this indicator in any market condition in any market to determine key support/resistance levels, use it for mean reversion through price expanding to outside of the most outer line therefore being overbought/oversold basically using the purple buy/sell signals or only follow the normal buy/sell signals or use it in confluence with each other. You can also use this indicator in confluence with your own manual technical analysis or other indicators/strategies you are already using and are comfortable with. A good part is the support/resistance lines from timeframe to timeframe pictures the whole situation quite well, you can use lower timeframe to find your entry/exit positions and higher timeframe to find your key support/resistance points, they all should be somewhat in confluence from timeframe to timeframe anyways. My recommendation would be to look at 1HR, 4HR and 1D charts for swing trading and 5-15 Min for quick scalping/day trading You should still probably at least take a look to higher timeframes so that you don't get burned when you realize there is a huge resistance line at price XXXXX on the 4 hour chart but you're expecting it to go above it on the 5 minute chart, it can go above it temporarily but we analyze everything on a closing basis so it most likely won't close above it. Again don't take a position or FOMO when price breaks a support/resistance line, we're looking for a CLOSE above/below them and a retest to see if S/R flip happened would even be better. Sometimes the most outer line won't be the 4.236 (Yellow) lines as when it gets quite volatile the Thinner Upper/Lower Green/Red Lines (VIDYA +3, VIDYA-3) might cross them to be the most outer line, in this case i have observed that the trend is extremely strong this time price almost always doesn't go above or below the VIDYA line but can stay outside of the Yellow 4.236 Fib line for an extended amount of time (price will still get back inside the channel relatively quickly, just not as fast as the normal condition) With Proper Risk Management and Discipline this indicator can be of great use to you as it's surprisingly successful especially at mean reversion and pointing out the support/resistance lines, they are so much more successful than your average MA/EMA lines.
Penunjuk Pine Script®
oleh idontname
Machine Learning Momentum Oscillator [ChartPrime]The Machine Learning Momentum Oscillator brings together the K-Nearest Neighbors (KNN) algorithm and the predictive strength of the Tactical Sector Indicator (TSI) Momentum. This unique oscillator not only uses the insights from TSI Momentum but also taps into the power of machine learning therefore being designed to give traders a more comprehensive view of market momentum. At its core, the Machine Learning Momentum Oscillator blends TSI Momentum with the capabilities of the KNN algorithm. Introducing KNN logic allows for better handling of noise in the data set. The TSI Momentum is known for understanding how strong trends are and which direction they're headed, and now, with the added layer of machine learning, we're able to offer a deeper perspective on market trends. This is a fairly classical when it comes to visuals and trading. Green bars show the trader when the asset is in an uptrend. On the flip side, red bars mean things are heading down, signaling a bearish movement driven by selling pressure. These color cues make it easier to catch the sentiment and direction of the market in a glance. Yellow boxes are also displayed by the oscillator. These boxes highlight potential turning points or peaks. When the market comes close to these points, they can provide a heads-up about the possibility of changes in momentum or even a trend reversal, helping a trader make informed choices quickly. These can be looked at as possible reversal areas simply put. Settings: Users can adjust the number of neighbours in the KNN algorithm and choose the periods they prefer for analysis. This way, the tool becomes a part of a trader's strategy, adapting to different market conditions as they see fit. Users can also adjust the smoothing used by the oscillator via the smoothing input.
Penunjuk Pine Script®
oleh ChartPrime
8
Smart Money Range [ChartPrime]The Smart Money Range indicator is designed to provide traders with a holistic view of market structure, emphasizing potential key support and resistance levels within a predefined range. This indicator is not just a visually pleasing, but also a comprehensive guide to understanding the market’s dynamics at a given level. Key Features: Defined Range: The indicator demarcates a clear range, highlighting support and resistance levels within it. This aids in identifying potential areas of buying and selling pressure. These are derived from highly significant areas that have been touched many times before. Touches Counter: Underneath the support and resistance lines, there are numerical values that show the number of times price has interacted with these levels. This can provide insights into the strength or weakness of a particular level. Zig-Zag Projections: Within the range, there's a zig-zag pattern indicating possible future touches, helping traders anticipate future price movements. Double-Sided Profile: To the right of the range, a dual-profile is showcased. One side of the profile displays the volume traded at specific price levels, giving insights into where significant buying or selling has occurred. On the other side, it reflects the number of touches at that given price level, reinforcing the importance of particular price points. Customizability: Users have the option to adjust the period setting, allowing them to cater the indicator to their specific trading style and configuration. Additionally, with volume levels settings, traders can adjust the number of bins in the profile for a tailored view.
Penunjuk Pine Script®
oleh ChartPrime
26
Fibo Levels with Volume Profile and Targets [ChartPrime]The Fib Levels With Volume Profile and Targets (FIVP) is a trading tool designed to provide traders with a unique understanding of price movement and trading volume through the lens of Fibonacci levels. This dynamic indicator merges the concepts of Fibonacci retracement levels with trading volume analytics to offer predictive insights into potential price trajectories. Features: 1. Fibonacci Levels: The FPI showcases three prominent Fibonacci levels on both sides of the current price, offering an intricate picture of potential support and resistance levels. 2. Support and Resistance Recognition: Harnessing the power of Fibonacci levels, the FPI provides traders with potential areas of support and resistance, aiding in informed decision-making for entries, exits, and stop placements. 3. Customizable Timeframe Settings: In order to cater to different trading strategies and styles, users can manually select their preferred timeframe for the Fibonacci calculations, ensuring optimal relevance and accuracy for their trading approach. 4. Volume Analytics: One of the standout features of the FIVP is its ability to calculate trading volume for every bar that is sandwiched between the top and lower Fibonacci levels. This ensures traders have a clear vision of where the majority of trading activity is occurring, lending weight to the credibility of the displayed support and resistance zones. 5. Volume-Derived Price Targeting: The Possible Target Arrow function is an innovative feature. By analyzing and comparing the trading volume in the bearish and bullish zones, it provides an arrow indicating the potential direction the market might take. If the bull volume surpasses the bear volume, the market is likely skewing bullish and vice versa. Usage Ideal for both novice and seasoned traders, the FPI offers a rich tapestry of information. It allows for refined technical analysis, more precise entries and exits, and a holistic view of the interplay between price and trading volume. Whether you're scalping, day trading, or swing trading, the Fibonacci Profile Indicator is designed to enhance your trading strategy, providing a comprehensive perspective of the market's potential movements.
Penunjuk Pine Script®
oleh ChartPrime
40
Filtered Volume Profile [ChartPrime]The "Filtered Volume Profile" is a powerful tool that offers insights into market activity. It's a technical analysis tool used to understand the behavior of financial markets. It uses a fixed range volume profile to provide a histogram representing how much volume occurred at distinct price levels. Profile in action with various significant levels displayed How to Use The script is designed to analyze cumulative trading volumes in different price bins over a certain period, also known as `'lookback'`. This lookback period can be defined by the user and it represents the number of bars to look back for calculating levels of support and resistance. The `'Smoothing'` input determines the degree to which the output is smoothed. Higher values lead to smoother results but may impede the responsiveness of the indicator to rapid changes in volatility. The `'Peak Sensitivity'` input is used to adjust the sensitivity of the script's peak detection algorithm. Setting this to a lower value makes the algorithm more sensitive to local changes in trading volume and may result in "noisier" outputs. The `'Peak Threshold'` input specifies the number of bins that the peak detection mechanism should account for. Larger numbers imply that more volume bins are taken into account, and the resultant peaks are based on wider intervals. The `'Mean Score Length'` input is used for scaling the mean score range. This is particularly important in defining the length of lookback bars that will be used to calculate the average close price. Sinc Filter The application of the sinc-filter to the Filtered Volume Profile reduces the risk of viewing artefacts that may misrepresent the underlying market behavior. Sinc filtering is a high-quality and sharp filter that doesn't manifest any ringing effects, making it an optimal choice for such volume profiling. Histogram On the histogram, the volume profile is colored based on the balance of bullish to bearish volume. If a particular bar is more intense in color, it represents a larger than usual volume during a single price bar. This is a clear signal of a strong buying or selling pressure at a particular price level. Threshold for Peaks The `peak_thresh` input determines the number of bins the algorithm takes in account for the peak detection feature. The 'peak' represents the level where a significant amount of volume trading has occurred, and usually is of interest as an indicative of support or resistance level. By increasing the `peak_thresh`, you're raising the bar for what the algorithm perceives as a peak. This could result in fewer, but more significant peaks being identified. History of Volume Profiles and Evolution into Sinc Filtering Volume profiling has a rich history in market analysis, dating back to the 1950s when Richard D. Wyckoff, a legendary trader, introduced the concept of volume studies. He understood the critical significance of volume and its relationship with market price movement. The core of Wyckoff's technical analysis suite was the relationship between prices and volume, often termed as "Effort vs Results". Moving forward, in the early 1800s, the esteemed mathematician J. R. Carson made key improvements to the sinc function, which formed the basis for sinc filtering application in time series data. Following these contributions, trading studies continued to create and integrate more advanced statistical measures into market analysis. This culminated in the 1980s with J. Peter Steidlmayer’s introduction of Market Profile. He suggested that markets were a function of continuous two-way auction processes thus introducing the concept of viewing markets in price/time continuum and price distribution forms. Steidlmayer's Market Profile was the first wide-scale operation of organized volume and price data. However, despite the introduction of such features, challenges in the analysis persisted, especially due to noise that could misinform trading decisions. This gap has given rise to the need for smoothing functions to help eliminate the noise and better interpret the data. Among such techniques, the sinc filter has become widely recognized within the trading community. The sinc filter, because of its properties of constructing a smooth passing through all data points precisely and its ability to eliminate high-frequency noise, has been considered a natural transition in the evolution of volume profile strategies. The superior ability of the sinc filter to reduce noise and shield against over-fitting makes it an ideal choice for smoothing purposes in trading scripts, particularly where volume profiling forms the crux of the market analysis strategy, such as in Filtered Volume Profile. Moving ahead, the use of volume-based studies seems likely to remain a core part of technical analysis. As long as markets operate based on supply and demand principles, understanding volume will remain key to discerning the intent behind price movements. And with the incorporation of advanced methods like sinc filtering, the accuracy and insight provided by these methodologies will only improve. Mean Score The mean score in the Filtered Volume Profile script plays an important role in probabilistic inferences regarding future price direction. This score essentially characterizes the statistical likelihood of price trends based on historical data. The mean score is calculated over a configurable `'Mean Score Length'`. This variable sets the window or the timeframe for calculation of the mean score of the closing prices. Statistically, this score takes advantage of the concept of z-scores and probabilities associated with the t-distribution (a type of probability distribution that is symmetric and bell-shaped, just like the standard normal distribution, but has heavier tails). The z-score represents how many standard deviations an element is from the mean. In this case, the "element" is the price level (Point of Control). The mean score section of the script calculates standard errors for the root mean squared error (RMSE) and addresses the uncertainty in the prediction of the future value of a random variable. The RMSE of a model prediction concerning observed values is used to measure the differences between values predicted by a model and the values observed. The lower the RMSE, the better the model is able to predict. A zero RMSE means a perfect fit to the data. In essence, it's a measure of how concentrated the data is around the line of best fit. Through the mean score, the script effectively predicts the likelihood of the future close price being above or below our identified price level. Summary Filtered Volume Profile is a comprehensive trading view indicator which utilizes volume profiling, peak detection, mean score computations, and sinc-filter smoothing, altogether providing the finer details of market behavior. It offers a customizable look back period, smoothing options, and peak sensitivity setting along with a uniquely set peak threshold. The application of the Sinc Filter ensures a high level of accuracy and noise reduction in volume profiling, making this script a reliable tool for gaining market insights. Furthermore, the use of mean score calculations provides probabilistic insights into price movements, thus providing traders with a statistically sound foundation for their trading decisions. As trading markets advance, the use of such methodologies plays a pivotal role in formulating effective trading strategies and the Filtered Volume Profile is a successful embodiment of such advancements in the field of market analysis.
Penunjuk Pine Script®
oleh ChartPrime
18
Pattern Probability with EMA FilterThe provided code is a custom indicator that identifies specific price patterns on a chart and uses a 14-period Exponential Moving Average (EMA) as a filter to display only certain patterns based on the EMA trend direction. These code identifies patterns display them as upward and downward arrows indicates potential price corrections and short term trend reversals in the direction of the arrow. Use with indicators such as RSI that inform overbought and oversold condition to add reliability and confluence. Code Explanation: The code first calculates three values 'a', 'b', and 'c' based on the difference between the current high, low, and close prices, respectively, and their respective previous moving average values. Binary values are then assigned to 'a', 'b', and 'c', where each value is set to 1 if it's greater than 0, and 0 otherwise. The 'pattern_type' is determined based on the binary values of 'a', 'b', and 'c', combining them into a single number (ranging from 0 to 7) to represent different price patterns. The code calculates a 14-period Exponential Moving Average (EMA) of the closing price. It determines the EMA trend direction by comparing the current EMA value with the previous EMA value, setting 'ema_going_up' to true if the EMA is going up and 'ema_going_down' to true if the EMA is going down. The indicator then plots arrows on the chart for specific pattern_type values while considering the EMA trend direction as a filter. It displays different colored arrows for each pattern_type. The 14-period EMA is also plotted on the chart, with the color changing to green when the EMA is going up and red when the EMA is going down. Concept: pattern_type = 0: H- L- C- (Downward trend continuation) - Indicates a continuation of the downward trend, suggesting further losses ahead. pattern_type = 1: H- L- C+ (Likely trend change: Downwards to upwards) - Implies the upward trend or price movement change. pattern_type = 2: H- L+ C- (Likely trend change: Upwards to downwards) - Suggests a potential reversal from an uptrend to a downtrend, but further confirmation is needed. pattern_type = 3: H- L+ C+ (Trend uncertainty: Potential reversal) - Indicates uncertainty in the trend, potential for a reversal, but further price action confirmation is required. pattern_type = 4: H+ L- C- (Downward trend continuation with lower volatility) - Suggests the downward trend may continue, but with reduced price swings or lower volatility. pattern_type = 5: H+ L- C+ (Likely trend change: Downwards to upwards) - Implies a potential reversal from a downtrend to an uptrend, with buying interest increasing. (pattern_type = 6: H+ L+ C- (Likely trend change: Upwards to downwards) - Suggests a potential reversal from an uptrend to a downtrend, with selling pressure increasing. pattern_type = 7: H+ L+ C+ (Upward trend continuation) - Indicates a continuation of the upward trend, suggesting further gains ahead. In the US market, when analyzing a 15-minute chart, we observe the following proportions of the different pattern_type occurrences: The code will plot the low frequency patterns (P1 - P6) P0 (H- L- C-): 37.60% P1 (H- L- C+): 3.60% P2 (H- L+ C-): 3.10% P3 (H- L+ C+): 3.40% P4 (H+ L- C-): 2.90% P5 (H+ L- C+): 2.70% P6 (H+ L+ C-): 3.50% P7 (H+ L+ C+): 43.50% When analyzing higher time frames, such as daily or weekly charts, the occurrence of these patterns is expected to be even lower, but they may carry more significant implications due to their rarity and potential impact on longer-term trends.
Penunjuk Pine Script®
oleh federalTacos5392b
DCA Liquidation Calculation [ChartPrime]The DCA Liquidation Calculator is a powerful table indicator designed for both manual and bot-assisted traders who practice Dollar Cost Averaging (DCA). Its primary objective is to help traders avoid getting liquidated and make informed decisions when managing their positions. This comprehensive table indicator provides essential information to DCA traders, enabling them to plan their trades effectively and mitigate potential risks of liquidation. Key Features: Liquidation Price Awareness: The DCA Liquidation Calculator calculates and displays the liquidation price for each trade within your position. This critical information empowers traders to set appropriate stop-loss levels and avoid being liquidated in adverse market conditions, especially in leveraged trading scenarios. DCA Recommendations: Whether you are executing DCA manually or using a trading bot, the DCA Liquidation Calculator offers valuable guidance. It suggests optimal entry prices and provides insights into the percentage deviation from the current market price, helping traders make well-timed and well-informed DCA decisions. Position Sizing: Proper position sizing is essential for risk management. The DCA Liquidation Calculator helps traders determine the percentage of capital to allocate to each trade based on the provided insights. By using the recommended position sizing, traders can protect their capital and potentially maximize profits. Profit and Loss Visualization: Gain real-time visibility into your Profit and Loss (PnL) with the DCA Liquidation Calculator. This feature allows you to monitor your trades' performance, enabling you to adapt your strategies as needed and make data-driven decisions. Margin Call Indicators: Anticipating potential margin calls is crucial for maintaining a healthy trading account. The DCA Liquidation Calculator's smart analysis helps you identify and manage potential margin call situations, reducing the risk of account liquidation. Capital Requirements: Before entering a trade, it's vital to know the required capital. The DCA Liquidation Calculator provides you with this information, ensuring you are adequately prepared to execute your trades without overextending your resources. Maximum Trade Limit: Considering your available capital, the DCA Liquidation Calculator helps you determine the maximum number of trades you can enter. This feature ensures you maintain a disciplined and sustainable trading approach aligned with your financial capabilities. Color-Coded Risk Indicators: Green Liquidation Price Cell: Indicates that the position is considered safe from liquidation at the given parameters. Yellow Liquidation Price Cell: Warns traders of potential liquidation risk. Exercise caution and monitor the trade closely to avoid undesirable outcomes. Purple Liquidation Price Cell: Shows the liquidation price, but it does not necessarily indicate an imminent liquidation. Use this information to make prudent risk management decisions. Red Row: Signals that the trade cannot be executed due to insufficient capital. Consider alternative strategies or ensure adequate capitalization before proceeding. Settings explained: In conclusion, the DCA Liquidation Calculator equips traders with essential tools to make well-calculated decisions, minimize liquidation risks, and optimize their Dollar Cost Averaging strategy. By offering comprehensive insights into your trading position, this indicator empowers you to navigate the markets with confidence and increase your potential for successful and sustainable trading.
Penunjuk Pine Script®
oleh ChartPrime
11
RibboNN Machine Learning [ChartPrime]The RibboNN ML indicator is a powerful tool designed to predict the direction of the market and display it through a ribbon-like visual representation, with colors changing based on the prediction outcome from a conditional class. The primary focus of this indicator is to assist traders in trend following trading strategies. The RibboNN ML in action Prediction Process: Conditional Class: The indicator's predictive model relies on a conditional class, which combines information from both longcon (long condition) and short condition. These conditions are determined using specific rules and criteria, taking into account various market factors and indicators. Direction Prediction: The conditional class provides the basis for predicting the direction of the market move. When the prediction value is greater than 0, it indicates an upward trend, while a value less than 0 suggests a downward trend. Nearest Neighbor (NN): To attempt to enhance the accuracy of predictions, the RibboNN ML indicator incorporates a Nearest Neighbor algorithm. This algorithm analyzes historical data from the Ribbon ML's predictive model (RMF) and identifies patterns that closely resemble the current conditional prediction class, thereby offering more robust trend forecasts. Ribbon Visualization: The Ribbon ML indicator visually represents its predictions through a ribbon-like display. The ribbon changes colors based on the direction predicted by the conditional class. An upward trend is represented by a green color, while a downward trend is depicted by a red color, allowing traders to quickly identify potential market directions. The introduction of the Nearest Neighbor algorithm provides the Ribbon ML indicator with unique and adaptive behaviors. By dynamically analyzing historical patterns and incorporating them into predictions, the indicator can adapt to changing market conditions and offer more reliable signals for trend following trading strategies. Manipulation of the NN Settings: Smaller Value of Neighbours Count: When the value of "Neighbours Count" is small, the algorithm considers only a few nearest neighbors for making predictions. A smaller value of "Neighbours Count" leads to more flexible decision boundaries, which can result in a more granular and sensitive model. However, using a very small value might lead to overfitting, especially if the training data contains noise or outliers. Larger Value of "Neighbours Count": When the value of "Neighbours Count" is large, the algorithm considers a larger number of nearest neighbors for making predictions. A larger value of "Neighbours Count" leads to smoother decision boundaries and helps capture the global patterns in the data. However, setting a very large value might result in a loss of local patterns and make the model less sensitive to changes in the data.
Penunjuk Pine Script®
oleh ChartPrime
7
Trend Channels With Liquidity Breaks [ChartPrime]Trend Channels This simple trading indicator is designed to quickly identify and visualize support and resistance channels in any market. The primary purpose of the Trend Channels with Liquidity Breaks indicator is to recognize and visualize the dominant trend in a more intuitive and user-friendly manner. Main Features Automatically identifies and plots channels based on pivot highs and lows Option to extend the channel lines Display breaks of the channels where liquidity is deemed high Inclusion of volume data within the channel bands (optional) Market-friendly and customizable colors and settings for easy visual identification Settings Length: Adjust the length and lookback of the channels Show Last Channel: Only shows the last channel Volume BG: Shade the zones according to the volume detected How to Interpret Trend Channels with Liquidity Breaks indicator uses a combination of pivot highs and pivot lows to create support and resistance zones, helping traders to identify potential breakouts, reversals or continuations of a trend. These support and resistance zones are visualized as upper and lower channel lines, with a dashed center line representing the midpoint of the channel. The indicator also allows you to see the volume data within the channel bands if you choose to enable this functionality. High volume zones can potentially signal strong buying or selling pressure, which may lead to potential breakouts or trend confirmations. To make the channels more market-friendly and visually appealing, Trend Channels indicator also offers customizable colors for upper and lower lines, as well as the possibility to extend the line lengths for further analysis. The indicator displays breaks of key levels in the market with higher volume.
Penunjuk Pine Script®
oleh ChartPrime
53
Moving Average Trend Sniper [ChartPrime]Today we introducing the Moving Average Trend Sniper (MATS), a unique and powerful multi faceted tool. This moving average is designed to adapt to the ever-changing market conditions. MATS provides the ideal solution for traders looking to capitalize on market trends while accurately identifying support and resistance levels. Why MATS? MATS was developed with the trader in mind, focusing on the key factors crucial for a successful trading strategy - trend following, support, and resistance. Its unique moving average calculation not only accounts for market volatility and momentum but also provides a stable yet adaptable foundation for your trading decisions. MATS employs a range of mathematical techniques to provide a precise and adaptive moving average, offering traders a more effective tool for analyzing market trends and identifying support and resistance levels. One of the primary distinctions of MATS is its use of delta, the change in market conditions, to update the moving average based on the trend's strength. This delta-based updating allows the moving average to adapt to market fluctuations and helps traders make more informed decisions when entering or exiting positions. MATS also focuses on the highs in a downtrend and the lows in an uptrend to provide more reliable support and resistance. By taking these crucial market points into consideration, the moving average delivers a comprehensive and accurate insight into the market's behavior and allows traders to make more precise predictions. MATS leverages trigonometry to determine the trend angle for the moving average. By calculating this angle, MATS can efficiently pick the correct source (either the high or the low) to provide the best support and resistance analysis. This innovative use of trigonometry ensures that the moving average is better suited to the current market conditions and provides traders with a dynamic yet stable tool to support their trading decisions. 
Settings: Length: The length input for MATS plays a crucial role in determining how responsive the moving average will be to changes in market conditions. A shorter length setting results in a more reactive moving average that closely follows price movements, whereas a longer length setting generates a smoother, less volatile average. By adjusting the length setting, traders can fine-tune the sensitivity of MATS to align with their specific trading strategies and needs. Glow: MATS offers a customizable and visually engaging display that helps traders effectively identify market trends. The "glow" effect surrounding support and resistance levels, available as an optional feature, enables users to assess these crucial areas more easily. Example use cases: In the screenshot below you can see the MATS acting as both a classical support and resistance while the glow and coloring is helped to provide a more classical trend following visualization to a trader. This duel functionality can help in re-entering during market retracements.
Penunjuk Pine Script®
oleh ChartPrime
15
Quick Shot[ChartPrime]This indicator plots green and red dots when the trend changes based on a moving average slope. The curved line aims to exponentially increase the slope of the moving average based on the slope at the time of the dots origination as the bars progress. Once the curved line makes contact with the price action, an x shape will be plotted to signify an exit signal. This indicator is best used in confluence with other indicators in order to develop a reliable strategy.
Penunjuk Pine Script®
oleh ChartPrime
EMA Slope + EMA Cross Strategy (by ChartArt)This strategy uses divergences between three exponential moving averages and their slope directions as well as crosses between the price and these moving averages to switch between a long or short position. The strategy is non-stop in the market and always either long or short. In addition the moving averages and price bars are colored depending if they are trending up or down. The strategy was created for the "EURUSD" daily timeframe. All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Strategi Pine Script®
oleh ChartArt
28
Narrow Range + Inside Day, Long Only Strategy (by ChartArt)This long only strategy determines when there is both a NR7 (narrow range 7, a trading day in which the range is narrower than any of the previous six days), plus a inside day (high of the current day is lower than the high of the previous day and the low of the current day is higher than the low of the previous day) both on the same trading day and enters a long trade when the close is larger than the open and the slope of the simple moving average is upwards, too. The strategy closes the long trade next time the daily close is larger than the open in any of the next trading days. In addition the NR7ID can be colored (the color is green when the close is larger that day than the open, else the color is red) and the SMA can be drawn with a color based on the direction of the SMA slope. To fine-tune the strategy it is highly recommended to change the period length of the SMA, which determines if the measured SMA slope is upwards or not. Inspiration: How to trade NR7 and Inside Day Pattern paststat.com Code credit: NR7 indicator script from Tradingview user Lazybear: pastebin.com
Strategi Pine Script®
oleh ChartArt
2
The Always Winning Holy Grail Strategy - Not (by ChartArt)How to win all the time if 1+1 = 2 The most upvoted strategies on Tradingview are those which seemingly work 100%, but they actually don't at all because they are repainting and would not work in live trading reality. They are using the multi-time-frame strategy testing bug and thereby trade during the backtest on close prices before the bar has closed in reality. Top list of these cheating repainting strategies: 1569 upvotes ANN Strategy 877 upvotes Vdub FX SniperVX3 Strategy 481 upvotes Get Trend Strategy I guess there are much more strategies among the top upvoted strategies on Tradingview which cheat with a multi-time-frame close price, but three examples are enough. The ANN Strategy uses the daily close price as multi-time-frame and cheats with that. The Vdub FX SniperVX3 Strategy uses the half-day (720 minute) close price to cheat and the Get Trend Strategy uses the 160 minute bar close for repaint cheating (at least here the author of this strategy explains that his strategy is only demo and would not work, which might be the reason why it has 1000 less upvotes than the ANN Strategy. I already wrote months ago a comment underneat these strategies to explain this issue but it hasn't stopped these strategies from getting more and more upvotes and staying in the top list. I thought this way of cheating is lame, so I invented a new way to cheat my way to seemingly reach 100% profitable trades all the time by going long if 1+1 is equal to 2. Welcome to super wide stop losses. Simply use a extreme unrealistic large stop loss and take profit after a realistic amount of pips and according to Tradingview's current backtest module you win 100% all the time. Yay! :) My recommendation for the Tradingview team is to add a function to let the user define a stop out and margin call level and maybe set a realistic setting as default, like 100%. Please don't trade with this strategy!
Strategi Pine Script®
oleh ChartArt
21
Buy Tuesday Strategy (by ChartArt)This strategy is as simple as possible: Every Tuesday a new long trade is opened, when Monday (yesterday) closed higher than it opened the week. The strategy closes all orders when the next close is larger than the open. This strategy does not have any other stop loss or take profit money management logic and is therefore VERY risky, because it always waits to close all orders until the close is larger than the open. I recommend to mainly use it to find stocks or assets which are trending higher and are following this very basic trading idea. -- P.S. The code of the strategy does not work on digital assets like Bitcoin, Litecoin or Ethereum, which are traded every day including Saturday and Sunday, because the code checks if Monday was preceded by a Friday (and not by a Sunday and Saturday).
Strategi Pine Script®
oleh ChartArt
1
Fractal Breakout Strategy (by ChartArt)This long only strategy determines the price of the last fractal top and enters a trade when the price breaks above the last fractal top. The strategy also calculates the average price of the last fractal tops to get the trend direction. The strategy exits the long trade, when the average of the fractal tops is falling (when the trend is lower highs as measured by fractals). And the user can manually set a time delay of this exit condition. The default setting is a long strategy exit always 3 bars after the long entry condition appeared. In addition as gimmicks the fractals tops can be highlighted (the default is blue) and a line can be drawn based on the fractal tops.This fractal top line is colored by the fractal top average trend in combination with the fractal breakout condition. This strategy works better on higher time-frames (weekly and monthly), but it also works on the daily and some other time-frames. This strategy does not repaint, no repainting. P.S. I thank Tradingview user barracuda who helped me with the time based exit condition code. And user RicardoSantos for coding the definition of the fractal top, which he uses in his " Fractals" scripts. All trading involves high risk; past performance is not necessarily indicative of future results. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under- or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown.
Strategi Pine Script®
oleh ChartArt
15