Auf geht's

In den Scripts nach "one一季度财报" suchen

Market Stats Panel [Daveatt]█ Introduction I've created a script that brings TradingView's watchlist stats panel functionality directly to your charts. This isn't just another performance indicator - it's a pixel-perfect (kidding) recreation of TradingView's native stats panel. Important Notes You might need to adjust manually the scaling the firs time you're using this script to display nicely all the elements. █ Core Features Performance Metrics The panel displays key performance metrics (1W, 1M, 3M, 6M, YTD, 1Y) in real-time, with color-coded boxes (green for positive, red for negative) for instant performance assessment. Display Modes Switch seamlessly between absolute prices and percentage returns, making it easy to compare assets across different price scales. Absolute mode Percent mode Historical Comparison View year-over-year performance with color-coded lines, allowing for quick historical pattern recognition and analysis. Data Structure Innovation Let's talk about one of the most interesting challenges I faced. PineScript has this quirky limitation where request.security() can only return 127 tuples at most. £To work around this, I implemented a dual-request system. The first request handles indices 0-63, while the second one takes care of indices 64-127. 
 This approach lets us maintain extensive historical data without compromising script stability. And here's the cool part: if you need to handle even more years of historical data, you can simply extend this pattern by adding more request.security() calls. 
 Each additional call can fetch another batch of monthly open prices and timestamps, following the same structure I've used. 
 Think of it as building with LEGO blocks - you can keep adding more pieces to extend your historical reach. Flexible Date Range Unlike many scripts that box you into specific timeframes, I've designed this one to be completely flexible with your date selection. You can set any start year, any end year, and the script will dynamically scale everything to match. The visual presentation automatically adjusts to whatever range you choose, ensuring your data is always displayed optimally. █ Customization Options Visual Settings The panel's visual elements are highly customizable. You can adjust the panel width to perfectly fit your workspace, fine-tune the line thickness to match your preferences, and enjoy the pre-defined year color scheme that makes tracking historical performance intuitive and visually appealing. Box Dimensions Every aspect of the performance boxes can be tailored to your needs. Adjust their height and width, fine-tune the spacing between them, and position the entire panel exactly where you want it on your chart. The goal is to make this tool feel like it's truly yours. █ Technical Challenges Solved Polyline Precision Creating precise polylines was perhaps the most demanding aspect of this project. The challenge was ensuring accurate positioning across both time and price axes, while handling percentage mode scaling with precision. The script constantly updates the current year's data in real-time, seamlessly integrating new information as it comes in. Axis Management Getting the axes right was like solving a complex puzzle. The Y-axis needed to scale dynamically whether you're viewing absolute prices or percentages. The X-axis required careful month labeling that stays clean and readable regardless of your selected timeframe. Everything needed to align perfectly while maintaining proper spacing in all conditions. █ Final Notes This tool transforms complex market data into clear, actionable insights. Whether you're day trading or analyzing long-term trends, it provides the information you need to make informed decisions. And remember, while we can't predict the future, we can certainly be better prepared for it with the right tools at hand. A word of warning though - seeing those red numbers in a beautifully formatted panel doesn't make them any less painful! 😉 --- Happy Trading! May your charts be green and your stops be far away! Daveatt
Pine Script® Indikator
von Daveatt
21
Quick scan for cycles🙏🏻 The followup for As I told before, ML based algorading is all about detecting any kind of non-randomness & exploiting it (cuz allegedly u cant trade randomness), and cycles are legit patterns that can be leveraged But bro would u really apply Fourier / Wavelets / 'whatever else heavy' on every update of thousands of datasets, esp in real time on HFT / nearly HFT data? That's why this metric. It works much faster & eats hell of a less electicity, will do initial rough filtering of time series that might contain any kind of cyclic behaviour. And then, only on these filtered datasets u gonna put Periodograms / Autocorrelograms and see what's going there for real. Better to do it 10x times less a day on 10x less datasets, right? I ended up with 2 methods / formulas, I called em 'type 0' and 'type 1': - type 0: takes sum of abs deviations from drift line, scales it by max abs deviation from the same drift line; - type 1: takes sum of abs deviations from drift line, scales it by range of non-abs deviations from the same drift line. Finnaly I've chosen type 0 , both logically (sum of abs dev divided by max abs dev makes more sense) and experimentally. About that actually, here are both formulas put on sine waves with uniform noise: ^^ generated sine wave with uniform noise ^^ both formulas on that wave ^^ both formulas on real data As you can see type 0 is less affected by noise and shows higher values on synthetic data, but I decided to put type 1 inside as well, in case my analysis was not complete and on real data type 1 can actually be better since it has a lil higher info gain / info content (still not sure). But I can assure u that out of all other ways I've designed & tested for quite a time I tell you, these 2 are really the only ones who got there. Now about dem thresholds and how to use it. Both type 0 and type 1 can be modelled with Beta distribution, and based on it and on some obvious & tho non mainstream statistical modelling techniques, I got these thresholds, so these are not optimized overfitted values, but natural ones. Each type has 3 thresholds (from lowest to highest): - typical value (turned off by default). aka basis ; - typical deviation from typical value, aka deviation ; - maximum modelled deviation from typical value (idk whow to call it properly for now, this is my own R&D), aka extension . So when the metric is above one of these thresholds (which one is up to you, you'll read about it in a sec), it means that there might be a strong enough periodic signal inside the data, and the data got to be put through proper spectral analysis tools to confirm / deny it. If you look at the pictures above again, you'll see gray signal, that's uniform noise. Take a look at it and see where does it sit comparing to the thresholds. Now you just undertand that picking up a threshold is all about the amount of false positives you care to withstand. If you take basis as threshold, you'll get tons of false positives (that's why it's even turned off by default), but you'll almost never miss a true positive. If you take deviation as threshold, it's gonna be kinda balanced approach. If you take extension as threshold, you gonna miss some cycles, and gonna get only the strongest ones. More true positives -> more false positives, less false positives -> less true positives, can't go around that mane Just to be clear again, I am not completely sure yet, but I def lean towards type 0 as metric, and deviation as threshold. Live Long and Prosper P.S.: That was actually the main R&D of the last month, that script I've released earlier came out as derivative. P.S.: These 2 are the first R&Ds made completely in " art-space", St. Petersburg. Come and see me, say wassup🤘🏻
Pine Script® Indikator
von gorx1
1
Pine Execution MapPine Script Execution Map Overview: This is an educational script for Pine Script developers. The script includes data structure, functions/methods, and process to capture and print Pine Script execution map of functions called while pine script execution. Map of execution is produced for last/latest candle execution. The script also has example code to call execution map methods and generate Pine Execution map. Use cases: Pine script developers can get view of how the functions are called This can also be used while debugging the code and know which functions are called vs what developer expect code to do One can use this while using any of the open source published script and understand how public script is organized and how functions of the script are called. Code components: User defined type type EMAP string group string sub_group int level array emap = array.new() method called internally by other methods to generate level of function being executed method id(string tag) => if(str.startswith(tag, "MAIN")) exe_level.set(0, 0) else if(str.startswith(tag, "END")) exe_level.set(0, exe_level.get(0) - 1) else exe_level.set(0, exe_level.get(0) + 1) exe_level.get(0) Method called from main/global scope to record execution of main scope code. There should be only one call to this method at the start of global scope. method main(string tag) => this = EMAP.new() this.group := "MAIN" this.sub_group := tag this.level := "MAIN".id() emap.push(this) Method called from main/global scope to record end of execution of main scope code. There should be only one call to this method at the end of global scope. method end_main(string tag) => this = EMAP.new() this.group := "END_MAIN" this.sub_group := tag this.level := 0 emap.push(this) Method called from start of each function to record execution of function code method call(string tag) => this = EMAP.new() this.group := "SUB" this.sub_group := tag this.level := "SUB".id() emap.push(this) Method called from end of each function to record end of execution of function code method end_call(string tag) => this = EMAP.new() this.group := "END_SUB" this.sub_group := tag this.level := "END_SUB".id() emap.push(this) Pine code which generates execution map and show it as a label tooltip. if(barstate.islast) for rec in emap if(not str.startswith(rec.group, "END")) lvl_tab = str.repeat("", rec.level+1, "\t") txt = str.format("=> {0} {1}> {2}", lvl_tab, rec.level, rec.sub_group) debug.log(txt) debug.lastr() Snapshot 1: This is the output of the script and can be viewed by hovering mouse pointer over the blue color diamond shaped label Snapshot 2: How to read the Pine execution map
Pine Script® Indikator
von Sharad_Gaikwad
5
Value at Risk [OmegaTools]The "Value at Risk" (VaR) indicator is a powerful financial risk management tool that helps traders estimate the potential losses in a portfolio over a specified period of time, given a certain level of confidence. VaR is widely used by financial institutions, traders, and risk managers to assess the probability of portfolio losses in both normal and volatile market conditions. This TradingView script implements a comprehensive VaR calculation using several models, allowing users to visualize different risk scenarios and adjust their trading strategies accordingly. Concept of Value at Risk Value at Risk (VaR) is a statistical technique used to measure the likelihood of losses in a portfolio or financial asset due to market risks. In essence, it answers the question: "What is the maximum potential loss that could occur in a given portfolio over a specific time horizon, with a certain confidence level?" For instance, if a portfolio has a one-day 95% VaR of $10,000, it means that there is a 95% chance the portfolio will not lose more than $10,000 in a single day. Conversely, there is a 5% chance of losing more than $10,000. VaR is a key risk management tool for portfolio managers and traders because it quantifies potential losses in monetary terms, allowing for better-informed decision-making. There are several ways to calculate VaR, and this indicator script incorporates three of the most commonly used models: Historical VaR: This approach uses historical returns to estimate potential losses. It is based purely on past price data, assuming that the past distribution of returns is indicative of future risks. Variance-Covariance VaR: This model assumes that asset returns follow a normal distribution and that the risk can be summarized using the mean and standard deviation of past returns. It is a parametric method that is widely used in financial risk management. Exponentially Weighted Moving Average (EWMA) VaR: In this model, recent data points are given more weight than older data. This dynamic approach allows the VaR estimation to react more quickly to changes in market volatility, which is particularly useful during periods of market stress. This model uses the Exponential Weighted Moving Average Volatility Model. How the Script Works The script starts by offering users a set of customizable input settings. The first input allows the user to choose between two main calculation modes: "All" or "OCT" (Only Current Timeframe). In the "All" mode, the script calculates VaR using all available methodologies—Historical, Variance-Covariance, and EWMA—providing a comprehensive risk overview. The "OCT" mode narrows the calculation to the current timeframe, which can be particularly useful for intraday traders who need a more focused view of risk. The next input is the lookback window, which defines the number of historical periods used to calculate VaR. Commonly used lookback periods include 21 days (approximately one month), 63 days (about three months), and 252 days (roughly one year), with the script supporting up to 504 days for more extended historical analysis. A longer lookback period provides a more comprehensive picture of risk but may be less responsive to recent market conditions. The confidence level is another important setting in the script. This represents the probability that the loss will not exceed the VaR estimate. Standard confidence levels are 90%, 95%, and 99%. A higher confidence level results in a more conservative risk estimate, meaning that the calculated VaR will reflect a more extreme loss scenario. In addition to these core settings, the script allows users to customize the visual appearance of the indicator. For example, traders can choose different colors for "Bullish" (Risk On), "Bearish" (Risk Off), and "Neutral" phases, as well as colors for highlighting "Breaks" in the data, where returns exceed the calculated VaR. These visual cues make it easy to identify periods of heightened risk at a glance. The actual VaR calculation is broken down into several models, starting with the Historical VaR calculation. This is done by computing the logarithmic returns of the asset's closing prices and then using linear interpolation to determine the percentile corresponding to the desired confidence level. This percentile represents the potential loss in the asset over the lookback period. Next, the script calculates Variance-Covariance VaR using the mean and standard deviation of the historical returns. The standard deviation is multiplied by a z-score corresponding to the chosen confidence level (e.g., 1.645 for 95% confidence), and the resulting value is subtracted from the mean return to arrive at the VaR estimate. The EWMA VaR model uses the EWMA for the sigma parameter, the standard deviation, obtaining a specific dynamic in the volatility. It is particularly useful in volatile markets where recent price behavior is more indicative of future risk than older data. For traders interested in intraday risk management, the script provides several methods to adjust VaR calculations for lower timeframes. By using intraday returns and scaling them according to the chosen timeframe, the script provides a dynamic view of risk throughout the trading day. This is especially important for short-term traders who need to manage their exposure during high-volatility periods within the same day. The script also incorporates an EWMA model for intraday data, which gives greater weight to the most recent intraday price movements. In addition to calculating VaR, the script also attempts to detect periods where the asset's returns exceed the estimated VaR threshold, referred to as "Breaks." When the returns breach the VaR limit, the script highlights these instances on the chart, allowing traders to quickly identify periods of extreme risk. The script also calculates the average of these breaks and displays it for comparison, helping traders understand how frequently these high-risk periods occur. The script further visualizes the risk scenario using a risk phase classification system. Depending on the level of risk, the script categorizes the market as either "Risk On," "Risk Off," or "Risk Neutral." In "Risk On" mode, the market is considered bullish, and the indicator displays a green background. In "Risk Off" mode, the market is bearish, and the background turns red. If the market is neither strongly bullish nor bearish, the background turns neutral, signaling a balanced risk environment. Traders can customize whether they want to see this risk phase background, along with toggling the display of the various VaR models, the intraday methods, and the break signals. This flexibility allows traders to tailor the indicator to their specific needs, whether they are day traders looking for quick intraday insights or longer-term investors focused on historical risk analysis. The "Risk On" and "Risk Off" phases calculated by this Value at Risk (VaR) script introduce a novel approach to market risk assessment, offering traders an advanced toolset to gauge market sentiment and potential risk levels dynamically. These risk phases are built on a combination of traditional VaR methodologies and proprietary logic to create a more responsive and intuitive way to manage exposure in both normal and volatile market conditions. This method of classifying market conditions into "Risk On," "Risk Off," or "Risk Neutral" is not something that has been traditionally associated with VaR, making it a groundbreaking addition to this indicator. How the "Risk On" and "Risk Off" Phases Are Calculated In typical VaR implementations, the focus is on calculating the potential losses at a given confidence level without providing an overall market outlook. This script, however, introduces a unique risk classification system that takes the output of various VaR models and translates it into actionable signals for traders, marking whether the market is in a Risk On, Risk Off, or Risk Neutral phase. The Risk On and Risk Off phases are primarily determined by comparing the current returns of the asset to the average VaR calculated across several different methods, including Historical VaR, Variance-Covariance VaR, and EWMA VaR. Here's how the process works: 1. Threshold Setting and Effect Calculation: The script first computes the average VaR using the selected models. It then checks whether the current returns (expressed as a negative value to signify loss) exceed the average VaR value. If the current returns surpass the calculated VaR threshold, this indicates that the actual market risk is higher than expected, signaling a potential shift in market conditions. 2. Break Analysis: In addition to monitoring whether returns exceed the average VaR, the script counts the number of instances within the lookback period where this breach occurs. This is referred to as the "break effect." For each period in the lookback window, the script checks whether the returns surpass the calculated VaR threshold and increments a counter. The percentage of periods where this breach occurs is then calculated as the "effect" or break percentage. 3. Dual Effect Check (if "Double" Risk Scenario is selected): When the user chooses the "Double" risk scenario mode, the script performs two layers of analysis. First, it calculates the effect of returns exceeding the VaR threshold for the current timeframe. Then, it calculates the effect for the lower intraday timeframe as well. Both effects are compared to the user-defined confidence level (e.g., 95%). If both effects exceed the confidence level, the market is deemed to be in a high-risk situation, thus triggering a Risk Off phase. If both effects fall below the confidence level, the market is classified as Risk On. 4. Risk Phases Determination: The final risk phase is determined by analyzing these effects in relation to the confidence level: - Risk On: If the calculated effect of breaks is lower than the confidence level (e.g., fewer than 5% of periods show returns exceeding the VaR threshold for a 95% confidence level), the market is considered to be in a relatively safe state, and the script signals a "Risk On" phase. This is indicative of bullish conditions where the potential for extreme loss is minimal. - Risk Off: If the break effect exceeds the confidence level (e.g., more than 5% of periods show returns breaching the VaR threshold), the market is deemed to be in a high-risk state, and the script signals a "Risk Off" phase. This indicates bearish market conditions where the likelihood of significant losses is higher. - Risk Neutral: If the break effect hovers near the confidence level or if there is no clear trend indicating a shift toward either extreme, the market is classified as "Risk Neutral." In this phase, neither bulls nor bears are dominant, and traders should remain cautious. The phase color that the script uses helps visualize these risk phases. The background will turn green in Risk On conditions, red in Risk Off conditions, and gray in Risk Neutral phases, providing immediate visual feedback on market risk. In addition to this, when the "Double" risk scenario is selected, the background will only turn green or red if both the current and intraday timeframes confirm the respective risk phase. This double-checking process ensures that traders are only given a strong signal when both longer-term and short-term risks align, reducing the likelihood of false signals. A New Way of Using Value at Risk This innovative Risk On/Risk Off classification, based on the interaction between VaR thresholds and market returns, represents a significant departure from the traditional use of Value at Risk as a pure risk measurement tool. Typically, VaR is employed as a backward-looking measure of risk, providing a static estimate of potential losses over a given timeframe with no immediate actionable feedback on current market conditions. This script, however, dynamically interprets VaR results to create a forward-looking, real-time signal that informs traders whether they are operating in a favorable (Risk On) or unfavorable (Risk Off) environment. By incorporating the "break effect" analysis and allowing users to view the VaR breaches as a percentage of past occurrences, the script adds a predictive element that can be used to time market entries and exits more effectively. This **dual-layer risk analysis**, particularly when using the "Double" scenario mode, adds further granularity by considering both current timeframe and intraday risks. Traders can therefore make more informed decisions not just based on historical risk data, but on how the market is behaving in real-time relative to those risk benchmarks. This approach transforms the VaR indicator from a risk monitoring tool into a decision-making system that helps identify favorable trading opportunities while alerting users to potential market downturns. It provides a more holistic view of market conditions by combining both statistical risk measurement and intuitive phase-based market analysis. This level of integration between VaR methodologies and real-time signal generation has not been widely seen in the world of trading indicators, marking this script as a cutting-edge tool for risk management and market sentiment analysis. I would like to express my sincere gratitude to @skewedzeta for his invaluable contribution to the final script. From generating fresh ideas to applying his expertise in reviewing the formula, his support has been instrumental in refining the outcome.
Pine Script® Indikator
von OmegaTools
3
Macros ICT KillZones [TradingFinder] Times & Price Trading Setup🔵 Introduction ICT Macros, developed by Michael Huddleston, also known as ICT (Inner Circle Trader), is a powerful trading tool designed to help traders identify the best trading opportunities during key time intervals like the London and New York trading sessions. For traders aiming to capitalize on market volatility, liquidity shifts, and Fair Value Gaps (FVG), understanding and using these critical time zones can significantly improve trading outcomes. In today’s highly competitive financial markets, identifying the moments when the market is seeking buy-side or sell-side liquidity, or filling price imbalances, is essential for maximizing profitability. The ICT Macros indicator is built on the renowned ICT time and price theory, which enables traders to track and leverage key market dynamics such as breaks of highs and lows, imbalances, and liquidity hunts. This indicator automatically detects crucial market times and optimizes strategies for traders by highlighting the specific moments when price movements are most likely to occur. A standout feature of ICT Macros is its automatic adjustment for Daylight Saving Time (DST), ensuring that traders remain synced with the correct session times. This means you can rely on accurate market timing without the need for manual updates, allowing you to focus on capturing profitable trades during critical timeframes. 🔵 How to Use The ICT Macros indicator helps you capitalize on trading opportunities during key market moments, particularly when the market is breaking highs or lows, filling Fair Value Gaps (FVG), or addressing imbalances. This indicator is particularly beneficial for traders who seek to identify liquidity, market volatility, and price imbalances. 🟣 Sessions London Sessions London Macro 1 : UTC Time : 06:33 to 07:00 New York Time : 02:33 to 03:00 London Macro 2 : UTC Time : 08:03 to 08:30 New York Time : 04:03 to 04:30 New York Sessions New York Macro AM 1 : UTC Time : 12:50 to 13:10 New York Time : 08:50 to 09:10 New York Macro AM 2 : UTC Time : 13:50 to 14:10 New York Time : 09:50 to 10:10 New York Macro AM 3 : UTC Time : 14:50 to 15:10 New York Time : 10:50 to 11:10 New York Lunch Macro : UTC Time : 15:50 to 16:10 New York Time : 11:50 to 12:10 New York PM Macro : UTC Time : 17:10 to 17:40 New York Time : 13:10 to 13:40 New York Last Hour Macro : UTC Time : 19:15 to 19:45 New York Time : 15:15 to 15:45 These time intervals adjust automatically based on Daylight Saving Time (DST), helping traders to enter or exit trades during key market moments when price volatility is high. Below are the main applications of this tool and how to incorporate it into your trading strategies : 🟣 Combining ICT Macros with Trading Strategies The ICT Macros indicator can easily be used in conjunction with various trading strategies. Two well-known strategies that can be combined with this indicator include: ICT 2022 Trading Model : This model is designed based on identifying market liquidity, structural price changes, and Fair Value Gaps (FVG). By using ICT Macros, you can identify the key time intervals when the market is seeking liquidity, filling imbalances, or breaking through important highs and lows, allowing you to enter or exit trades at the right moment. Silver Bullet Strategy : This strategy, which is built around liquidity hunting and rapid price movements, can work more accurately with the help of ICT Macros. The indicator pinpoints precise liquidity times, helping traders take advantage of market shifts caused by filling Fair Value Gaps or correcting imbalances. 🟣 Capitalizing on Price Volatility During Key Times Large market algorithms often seek liquidity or fill Fair Value Gaps (FVG) during the intervals marked by ICT Macros. These periods are when price volatility increases, and traders can use these moments to enter or exit trades. For example, if sell-side liquidity is drained and the market fills an imbalance, the price might move toward buy-side liquidity. By identifying these moments, which may also involve breaking a previous high or low, you can leverage rapid market fluctuations to your advantage. 🟣 Identifying Liquidity and Price Imbalances One of the important uses of ICT Macros is identifying points where the market is seeking liquidity and correcting imbalances. You can determine high or low liquidity levels in the market before each ICT Macro, as well as Fair Value Gaps (FVG) and price imbalances that need to be filled, using them to adjust your trading strategy. This capability allows you to manage trades based on liquidity shifts or imbalance corrections without needing a bias toward a specific direction. 🔵 Settings The ICT Macros indicator offers various customization options, allowing users to tailor it to their specific needs. Below are the main settings: Time Zone Mode : You can select one of the following options to define how time is displayed: UTC : For traders who need to work with Universal Time. Session Local Time : The local time corresponding to the London or New York markets. Your Time Zone : You can specify your own time zone (e.g., "UTC-4:00"). Your Time Zone : If you choose "Your Time Zone," you can set your specific time zone. By default, this is set to UTC-4:00. Show Range Time : This option allows you to display the time range of each session on the chart. If enabled, the exact start and end times of each interval are shown. Show or Hide Time Ranges : Toggle on/off for visual clarity depending on user preference. Custom Colors : Set distinct colors for each session, allowing users to personalize their chart based on their trading style.These settings allow you to adjust the key time intervals of each trading session to your preference and customize the time format according to your own needs. 🔵 Conclusion The ICT Macros indicator is a powerful tool for traders, helping them to identify key time intervals where the market seeks liquidity or fills Fair Value Gaps (FVG), corrects imbalances, and breaks highs or lows. This tool is especially valuable for traders using liquidity-based strategies such as ICT 2022 or Silver Bullet. One of the key features of this indicator is its support for Daylight Saving Time (DST), ensuring you are always in sync with the correct trading session timings without manual adjustments. This is particularly beneficial for traders operating across different time zones. With ICT Macros, you can capitalize on crucial market opportunities during sensitive times, take advantage of imbalances, and enhance your trading strategies based on market volatility, liquidity shifts, and Fair Value Gaps.
Pine Script® Indikator
von TFlab
7
RSI Fakeout Filter with SMA Confirmation [CHE] Introducing: RSI Fakeout Detection Are you tired of being caught in fakeouts that can lead to frustrating losses? The RSI Fakeout Detection is here to enhance your trading strategy by filtering out false signals and providing you with more reliable entries. This innovative indicator is designed to help traders identify when market momentum, as indicated by the RSI, does not align with price movement – a key indicator of potential fakeouts! What Does It Do? The RSI Fakeout Detection focuses on one key goal: avoiding false signals. By monitoring when the RSI exceeds a customizable threshold (indicating strength) but the price remains below a moving average like the SMA, this indicator highlights situations where the market may seem strong, but the price action doesn't support that momentum. In other words, it saves you from those tricky fake breakouts. Key Benefits: 1. Reduce Risk, Increase Confidence: Get an extra layer of protection against fakeouts by receiving signals only when both RSI and price confirm the market's true direction. Avoid entering false breakouts and trade with more confidence. 2. Dynamic Analysis of SMA Lengths: It doesn’t just rely on one SMA. The indicator automatically analyzes and sorts through different SMA lengths to find the most reliable one for your specific market condition, ensuring that you get the best possible signal. 3. Tailored for You: With customizable RSI thresholds, a choice of multiple moving average types (SMA, EMA, Bollinger Bands, and more), and vibrant color-coded visuals, this tool is built to fit your unique trading style and preferences. 4. Spot Fakeouts with Ease: Visual cues make it easy to see when the market might be tricking you. Labels, plotted lines, and a toggleable disclaimer keep everything transparent and easy to understand. 5. Friendly and Intuitive: Whether you’re new to trading or a seasoned pro, the RSI Fakeout Detection is designed to be simple and effective. The labels and plots are clear, the alerts are timely, and it seamlessly integrates into your chart without cluttering it. Why Choose RSI Fakeout Detection? - Accuracy and Precision: By combining RSI and SMA analysis, this indicator minimizes the risk of following false trends and entering trades too early. - Save Time and Reduce Guesswork: No more spending hours trying to figure out which SMA length works best – the RSI Fakeout Detection does it for you! - Peace of Mind: Avoiding fakeouts means fewer bad trades, which can lead to more consistent performance and less stress. Transform the way you trade, and step into a more confident trading future with RSI Fakeout Detection . Whether you’re day trading or swing trading, this tool will give you an edge by helping you filter out the noise and make more informed decisions. Best regards, Chervolino Disclaimer: The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Pine Script® Indikator
von chervolino
2
Custom Pattern DetectionOverview Chart Patterns is a major tool for many traders. Pattern formation at specific location on the chart is used for investment/trading decisions. This indicator is designed in a way to allow investors/traders to define patterns of their choice based on certain input parameters and then detect defined pattern on the chart. Investors/traders can use their own creativity to create and detect patterns. This indicator works in 2 modes Create Pattern: One can define a pattern and verify sample pattern formation visually Detect Pattern: Detect and mark patterns on the chart Settings Create Custom Pattern: Show Custom Pattern – This will mark the pattern lines on the chart so that one can verify how pattern appears based on the input’s parameters provided for lines XA, AB, BC, CD, DE, EF Offset – Used while pattern creation. Offset is horizonal distance between 2 lines. XA Points – Used to draw XA line when sample pattern is drawn. XA points can be a negative or position number. XA line is drawn based on Offset and XA Points. E.g. Offset = 5 and XA Points = -20. In this line would be drawn from last candle high to high – 20 (these are y1 and y2 points of a line). While drawing line distance of 5 candles would be placed between 2 line points (these are x1 and x2 points of a line). In XA line X forms start point and A forms end point of the line. Line AB – Line AB is drawn from point X. To derive the end point of AB, average Fib% is derived based on From Fib% and To Fib% parameters. Finally end point is derived by applying Fib Retracement on Line XA based on average Fib%. Line AB to Line EF – These points are derived as explained in Line AB. The indicator can be used to define/create patterns up to 6 legs/lines. The line would be named as XA -> AB -> BC -> CD -> DE -> EF. If one wish to create pattern consisting 3 legs then it can be achieved by unchecking/deselecting Line CD, DE and EF or by checking only Line AB and BC. Based on the parameters above indicator draws a sample pattern after last candle/bar on the chart. Sample pattern helps to visually see how pattern will appear on the chart. Pattern Identification Indicator derive the swing high/low points based on the Pivot lookback and use as reference points while detecting patterns. Use of From Fib% and To Fib% - While detecting pattern, retracement price points are derived for From Fib% and To Fib%. Price points between from Fib% and To Fib% are treated as valid retracement points. How to configure and use indicator for detecting patterns Sample Pattern 1 Sample Pattern 2 Sample Pattern 3 Sample Pattern 4
Pine Script® Indikator
von Sharad_Gaikwad
34
Shifted Symbol Overlay with OffsetThe Shifted Symbol Overlay Indicator is a custom TradingView indicator designed to overlay the price data of one stock or asset over another, allowing for direct visual comparison. This is particularly useful for comparing the performance of two assets over different time periods. The indicator enables you to shift the data from one asset either forward or backward in time, making it easier to compare historical data from one stock with more recent data from another. The indicator supports shifting both to the right (future periods) and to the left (earlier periods), helping traders and analysts explore correlations or divergences between two financial instruments. The indicator also includes a normalization option that adjusts the scale of the two assets, so you can compare them even if they have vastly different price levels. This is useful when you're interested in relative performance rather than the absolute price values.
Pine Script® Indikator
von xwangfz
Absolute ZigZagThis ZigZag Indicator is a bit unique in it's kind. It uses my own Absolute ZigZag Lib to calculate the pivots: Instead of using percentages or looking more than 1 bar left or right, this Zigzag library calculates pivots by just looking at the current bar highs and lows and the ones of one bar earlier. This is a very fast and accurate way of calculating pivots. The library also features a solution for bars that have both a higher high and a higher low like seen below. You can also use your own colors for the labels and the lines: You can also quickly select a one-colored theme without changing all colors at once:
Pine Script® Indikator
von niquedegraaff
14
Tian Di Grid Merge Version 6.0 Strategy Introduction: 1. We know that the exchange can only set a maximum of 100 grids. However, our grid strategy can set a maximum of 350 grids. 2. We have added the modes of proportional and differential warehousing. 3. It should be noted that we have not set any filtering conditions, which means that when the price falls below the grid, we will execute a buy action at the closing price, and when the price falls above the grid, we will execute a sell action; 4. We suggest limiting the trading time cycle to 5 meters, as sometimes errors may appear on TV due to the dense grid or the inability to draw so many grids; 5. Please ensure that the minimum spacing between each grid is not less than 0.1%, as this is extremely difficult to profit from, and on the other hand, it may not function due to excessively dense spacing; 6. The maximum number of grids is 350, and the minimum number is currently 3; matters needing attention: Don't choose to go long or short together, and don't choose to go even short or short; Closing position setting: It is recommended to select it to avoid order accumulation; Unable to trade: If unable to trade normally, switch to a 1m cycle; Number of cells: Calculate it yourself, 350 is just the maximum number of cells that can be adjusted; Grid spacing: minimum 0.1%, below which no profit can be made; Position value: default is 100u, which is the amount already leveraged; Multiple investment: The order amount for each order is the same, and there is no need for multiple investment; Open both long and short positions: You can open multiple positions for one account and open one position for one account. Do not open both long and short positions for the same target at the same time
Pine Script® Strategie
von zhiming
8
Pressure Zones with MA [SYNC & TRADE]Description: The "Pressure Zones with MA " indicator is designed to analyze the pressure of buyers and sellers on the market, as well as to identify areas of increased activity. When designing it, the main task was to see manipulations on the market, when the power of sellers or the power of buyers is in a sideways trend or falling, and the opposite is growing. Here is a good example. The power of sellers is in a narrow sideways trend, and sales are increasing very aggressively. The power of buyers is in a gray block with the inscription "range". Then we see the fading of the power of sellers and buyers furiously pounce on the asset that has fallen in price. Here are the main aspects of its operation and use: First, turn off the moving averages in the indicator settings, on the "style" tab. Choose your favorite asset, which you understand well and know all its ups and downs. I want you to see a clean chart, so that you can be imbued with a new idea, you need to watch it. This is a proprietary indicator and I understand that it does not have the inscription “buy” / “sell”, but believe me, if you pay attention, you will see its strength. I usually add functionality later, but the light code and visualization remain preferable in the first version. Purpose: The indicator helps to determine the strength of buyers and sellers in the market. It visualizes zones where the pressure of buyers or sellers prevails. Additionally displays moving averages (MA) for data smoothing. Main components: Buyer strength chart (blue line) Seller strength chart (red line) Moving averages for buyer and seller strength Threshold line for defining zones Indicator settings: Period: defines the base period for calculations (default 89) Threshold: sets the level for defining pressure zones (from 0 to 2, default 0.8) MA type for purchases and sales: select the type of moving average (SMA, EMA, RMA, WMA, VWMA, HMA) MA length for purchases and sales: period for calculating moving averages Colors for uptrends and downtrends of MA Moving averages: Help smooth out data and identify trends The direction of the MA (up or down) further confirms the current trend The color of the MA changes depending on the direction (blue for up, red for down) Now you can turn them on and see how they help in understanding where one or another force is weakening. It is in this case that we see the intersection of forces and the sellers' force is moving aggressively upward. Also, according to the moving average, we see the weakening of the sellers' force. The buyers' force was in the sideways range and then switched on to buy out and also according to the moving average, it is clear where the main interest in purchases disappeared. Use: Observe the strength of buyers and sellers relative to each other. They can move simultaneously in one direction, this is regarded as balance can move in different directions and this will strengthen the upward force of sellers or buyers You may also notice that the movement of one of the forces will be in a narrow range and the second will grow strongly - this is manipulation or trading without resistance. You can also play with the threshold line, but it is not the main thing here. I disabled this function in the code. // Display zones //bgcolor(buy_zone ? color.new(color.blue, 90) : na) //bgcolor(sell_zone ? color.new(color.red, 90) : na) If you want to enable it, copy it instead // Display zones bgcolor(buy_zone ? color.new(color.blue, 90) : na) bgcolor(sell_zone ? color.new(color.red, 90) : na) Pay attention to the intersection of forces. Use crossovers of force lines and their moving averages as potential signals Combine the indicator signals with other technical analysis tools for confirmation Limitations: Requires customization of parameters for a specific trading instrument and timeframe The indicator should not be used as the only tool for making trading decisions Remember that this indicator provides additional information for market analysis, but is not a guarantee of successful trades. Always combine it with other analysis methods and follow risk management rules. Описание: Индикатор "Pressure Zones with MA " предназначен для анализа давления покупателей и продавцов на рынке, а также для определения зон повышенной активности. При его проектировании основная задача была увидеть манипуляции на рынке, когда сила продавцов или сила покупателей стоит в боковике или падает, а противоположная растет. Вот хороший пример. Сила продавцов стоит в узком боковике, а продажи очень агрессивно усиливаются. Сила покупателей в сером блоке с надписью “range”. Потом мы видим затухание силы продавцов и покупателей яростно накидываются на подешевевший актив. Вот основные аспекты его работы и использования: Для начала отключите средние скользящие в настройках индикатора, на закладке “стиль”. Выберите свой любимый актив, в котором вы хорошо разбираетесь и знаете его все взлеты и падения. Я хочу чтобы вы увидели чистый график, для того чтобы вы могли проникнутся новой идеей нужно понаблюдать за ним. Это авторский индикатор и я понимаю что на нем нет надписи “купить” / “продать”, но поверьте уделив свое внимание вы увидите его силу. Я обычно потом добавляю функционал но легкий код и визуализация, в первом варианте остается предпочтительней. Назначение: Индикатор помогает определить силу покупателей и продавцов на рынке. Он визуализирует зоны, где преобладает давление покупателей или продавцов. Дополнительно отображает скользящие средние (MA) для сглаживания данных. Основные компоненты: График силы покупателей (синяя линия) График силы продавцов (красная линия) Скользящие средние для силы покупателей и продавцов Пороговая линия для определения зон Настройки индикатора: Период (Period): определяет базовый период для расчетов (по умолчанию 89) Порог (Threshold): устанавливает уровень для определения зон давления (от 0 до 2, по умолчанию 0.8) Тип MA для покупок и продаж: выбор типа скользящей средней (SMA, EMA, RMA, WMA, VWMA, HMA) Длина MA для покупок и продаж: период для расчета скользящих средних Цвета для восходящего и нисходящего трендов MA Скользящие средние: Помогают сглаживать данные и выявлять тренды Направление MA (вверх или вниз) дополнительно подтверждает текущий тренд Цвет MA меняется в зависимости от направления (синий для восходящего, красный для нисходящего) Теперь вы можете их включить и посмотреть как они помогают в понимании где ослабевает та или иная сила. Именно в этом случае мы видим пересечение сил и сила продавцов идет агрессивно вверх. Также по средней скользящей мы видим затухание силы продавцов. Сила покупателей стояла в боковике потом включилась на откуп и также по средней скользящей видно где пропал основной интерес к покупкам. Использование: Наблюдайте за силой покупателей и продавцов относительно друг друга. Они могут двигаться одновременно в одном направлении это расценивается как баланс могут двигаться в разных направлениях и это будет усиливать восходящую силу продавцов или покупателей также возможно вы заметите что движение одной из силы будет в узком диапазоне а вторая будет сильно расти - это манипуляция или торговля без сопротивления. Также можете поиграть с пороговой линией, но она совершенно не главная здесь. В коде я отключил эту функцию. // Display zones //bgcolor(buy_zone ? color.new(color.blue, 90) : na) //bgcolor(sell_zone ? color.new(color.red, 90) : na) Если захотите включить скопируйте вместо нее // Display zones bgcolor(buy_zone ? color.new(color.blue, 90) : na) bgcolor(sell_zone ? color.new(color.red, 90) : na) Обращайте внимание на пересечение сил. Используйте пересечения линий силы и их скользящих средних как потенциальные сигналы Комбинируйте сигналы индикатора с другими инструментами технического анализа для подтверждения Ограничения: Требуется настройка параметров под конкретный торговый инструмент и таймфрейм Не следует использовать индикатор как единственный инструмент для принятия торговых решений Помните, что этот индикатор предоставляет дополнительную информацию для анализа рынка, но не является гарантией успешных сделок. Всегда сочетайте его с другими методами анализа и соблюдайте правила управления рисками.
Pine Script® Indikator
von SYNC-AND-TRADE
VWAP SlopePublishing one of the simplest yet one of my favorite concepts. Had to publish since I didn't really find any script for this on TV. VWAP slope. This is nothing fancy because it's just calculating "slope" with a very basic level formula vwap_slope = (vwap - vwap ) / length Above zero line, it's positive zone. Below zero line, it's a negative zone. The idea is to avoid choppy conditions and stay true to larger readings, sometimes when we have vwap directly on chart and when price interacts with it, we tend to take the lot of bad trades. The intention here is to avoid just that. This is also good at tracking failure of change in sentiments, this failure is very important, because one's failure occurs there is significant movement in the opposite direction of the failure. Since there isn't much alteration to this idea, there is not much to talk about tbh. Just remember, this is an educational idea and not assurance of future performance. Regards.
Pine Script® Indikator
von Pratik_4Clover
3
DrawingLibrary "Drawing" User Defined types and methods for basic drawing structure. Consolidated from the earlier libraries - DrawingTypes and DrawingMethods method get_price(this, bar)   get line price based on bar   Namespace types: Line   Parameters:      this (Line) : (series Line) Line object.      bar (int) : (series/int) bar at which line price need to be calculated   Returns: line price at given bar. method init(this)   Namespace types: PolyLine   Parameters:      this (PolyLine) method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/Point object to string representation   Namespace types: chart.point   Parameters:      this (chart.point) : DrawingTypes/Point object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/Point method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/LineProperties object to string representation   Namespace types: LineProperties   Parameters:      this (LineProperties) : DrawingTypes/LineProperties object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/LineProperties method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/Line object to string representation   Namespace types: Line   Parameters:      this (Line) : DrawingTypes/Line object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/Line method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/LabelProperties object to string representation   Namespace types: LabelProperties   Parameters:      this (LabelProperties) : DrawingTypes/LabelProperties object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/LabelProperties method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/Label object to string representation   Namespace types: Label   Parameters:      this (Label) : DrawingTypes/Label object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/Label method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/Linefill object to string representation   Namespace types: Linefill   Parameters:      this (Linefill) : DrawingTypes/Linefill object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/Linefill method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/BoxProperties object to string representation   Namespace types: BoxProperties   Parameters:      this (BoxProperties) : DrawingTypes/BoxProperties object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/BoxProperties method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/BoxText object to string representation   Namespace types: BoxText   Parameters:      this (BoxText) : DrawingTypes/BoxText object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/BoxText method tostring(this, sortKeys, sortOrder, includeKeys)   Converts DrawingTypes/Box object to string representation   Namespace types: Box   Parameters:      this (Box) : DrawingTypes/Box object      sortKeys (bool) : If set to true, string output is sorted by keys.      sortOrder (int) : Applicable only if sortKeys is set to true. Positive number will sort them in ascending order whreas negative numer will sort them in descending order. Passing 0 will not sort the keys      includeKeys (array) : Array of string containing selective keys. Optional parmaeter. If not provided, all the keys are considered   Returns: string representation of DrawingTypes/Box method delete(this)   Deletes line from DrawingTypes/Line object   Namespace types: Line   Parameters:      this (Line) : DrawingTypes/Line object   Returns: Line object deleted method delete(this)   Deletes label from DrawingTypes/Label object   Namespace types: Label   Parameters:      this (Label) : DrawingTypes/Label object   Returns: Label object deleted method delete(this)   Deletes Linefill from DrawingTypes/Linefill object   Namespace types: Linefill   Parameters:      this (Linefill) : DrawingTypes/Linefill object   Returns: Linefill object deleted method delete(this)   Deletes box from DrawingTypes/Box object   Namespace types: Box   Parameters:      this (Box) : DrawingTypes/Box object   Returns: DrawingTypes/Box object deleted method delete(this)   Deletes lines from array of DrawingTypes/Line objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Line objects   Returns: Array of DrawingTypes/Line objects method delete(this)   Deletes labels from array of DrawingTypes/Label objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Label objects   Returns: Array of DrawingTypes/Label objects method delete(this)   Deletes linefill from array of DrawingTypes/Linefill objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Linefill objects   Returns: Array of DrawingTypes/Linefill objects method delete(this)   Deletes boxes from array of DrawingTypes/Box objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Box objects   Returns: Array of DrawingTypes/Box objects method clear(this)   clear items from array of DrawingTypes/Line while deleting underlying objects   Namespace types: array   Parameters:      this (array) : array   Returns: void method clear(this)   clear items from array of DrawingTypes/Label while deleting underlying objects   Namespace types: array   Parameters:      this (array) : array   Returns: void method clear(this)   clear items from array of DrawingTypes/Linefill while deleting underlying objects   Namespace types: array   Parameters:      this (array) : array   Returns: void method clear(this)   clear items from array of DrawingTypes/Box while deleting underlying objects   Namespace types: array   Parameters:      this (array) : array   Returns: void method draw(this)   Creates line from DrawingTypes/Line object   Namespace types: Line   Parameters:      this (Line) : DrawingTypes/Line object   Returns: line created from DrawingTypes/Line object method draw(this)   Creates lines from array of DrawingTypes/Line objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Line objects   Returns: Array of DrawingTypes/Line objects method draw(this)   Creates label from DrawingTypes/Label object   Namespace types: Label   Parameters:      this (Label) : DrawingTypes/Label object   Returns: label created from DrawingTypes/Label object method draw(this)   Creates labels from array of DrawingTypes/Label objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Label objects   Returns: Array of DrawingTypes/Label objects method draw(this)   Creates linefill object from DrawingTypes/Linefill   Namespace types: Linefill   Parameters:      this (Linefill) : DrawingTypes/Linefill objects   Returns: linefill object created method draw(this)   Creates linefill objects from array of DrawingTypes/Linefill objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Linefill objects   Returns: Array of DrawingTypes/Linefill used for creating linefills method draw(this)   Creates box from DrawingTypes/Box object   Namespace types: Box   Parameters:      this (Box) : DrawingTypes/Box object   Returns: box created from DrawingTypes/Box object method draw(this)   Creates labels from array of DrawingTypes/Label objects   Namespace types: array   Parameters:      this (array) : Array of DrawingTypes/Label objects   Returns: Array of DrawingTypes/Label objects method createLabel(this, lblText, tooltip, properties)   Creates DrawingTypes/Label object from DrawingTypes/Point   Namespace types: chart.point   Parameters:      this (chart.point) : DrawingTypes/Point object      lblText (string) : Label text      tooltip (string) : Tooltip text. Default is na      properties (LabelProperties) : DrawingTypes/LabelProperties object. Default is na - meaning default values are used.   Returns: DrawingTypes/Label object method createLine(this, other, properties)   Creates DrawingTypes/Line object from one DrawingTypes/Point to other   Namespace types: chart.point   Parameters:      this (chart.point) : First DrawingTypes/Point object      other (chart.point) : Second DrawingTypes/Point object      properties (LineProperties) : DrawingTypes/LineProperties object. Default set to na - meaning default values are used.   Returns: DrawingTypes/Line object method createLinefill(this, other, fillColor, transparency)   Creates DrawingTypes/Linefill object from DrawingTypes/Line object to other DrawingTypes/Line object   Namespace types: Line   Parameters:      this (Line) : First DrawingTypes/Line object      other (Line) : Other DrawingTypes/Line object      fillColor (color) : fill color of linefill. Default is color.blue      transparency (int) : fill transparency for linefill. Default is 80   Returns: Array of DrawingTypes/Linefill object method createBox(this, other, properties, textProperties)   Creates DrawingTypes/Box object from one DrawingTypes/Point to other   Namespace types: chart.point   Parameters:      this (chart.point) : First DrawingTypes/Point object      other (chart.point) : Second DrawingTypes/Point object      properties (BoxProperties) : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.      textProperties (BoxText) : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn   Returns: DrawingTypes/Box object method createBox(this, properties, textProperties)   Creates DrawingTypes/Box object from DrawingTypes/Line as diagonal line   Namespace types: Line   Parameters:      this (Line) : Diagonal DrawingTypes/PoLineint object      properties (BoxProperties) : DrawingTypes/BoxProperties object. Default set to na - meaning default values are used.      textProperties (BoxText) : DrawingTypes/BoxText object. Default is na - meaning no text will be drawn   Returns: DrawingTypes/Box object LineProperties   Properties of line object   Fields:      xloc (series string) : X Reference - can be either xloc.bar_index or xloc.bar_time. Default is xloc.bar_index      extend (series string) : Property which sets line to extend towards either right or left or both. Valid values are extend.right, extend.left, extend.both, extend.none. Default is extend.none      color (series color) : Line color      style (series string) : Line style, valid values are line.style_solid, line.style_dashed, line.style_dotted, line.style_arrow_left, line.style_arrow_right, line.style_arrow_both. Default is line.style_solid      width (series int) : Line width. Default is 1 Line   Line object created from points   Fields:      start (chart.point) : Starting point of the line      end (chart.point) : Ending point of the line      properties (LineProperties) : LineProperties object which defines the style of line      object (series line) : Derived line object LabelProperties   Properties of label object   Fields:      xloc (series string) : X Reference - can be either xloc.bar_index or xloc.bar_time. Default is xloc.bar_index      yloc (series string) : Y reference - can be yloc.price, yloc.abovebar, yloc.belowbar. Default is yloc.price      color (series color) : Label fill color      style (series string) : Label style as defined in Tradingview Documentation. Default is label.style_none      textcolor (series color) : text color. Default is color.black      size (series string) : Label text size. Default is size.normal. Other values are size.auto, size.tiny, size.small, size.normal, size.large, size.huge      textalign (series string) : Label text alignment. Default if text.align_center. Other allowed values - text.align_right, text.align_left, text.align_top, text.align_bottom      text_font_family (series string) : The font family of the text. Default value is font.family_default. Other available option is font.family_monospace Label   Label object   Fields:      point (chart.point) : Point where label is drawn      lblText (series string) : label text      tooltip (series string) : Tooltip text. Default is na      properties (LabelProperties) : LabelProperties object      object (series label) : Pine label object Linefill   Linefill object   Fields:      line1 (Line) : First line to create linefill      line2 (Line) : Second line to create linefill      fillColor (series color) : Fill color      transparency (series int) : Fill transparency range from 0 to 100      object (series linefill) : linefill object created from wrapper BoxProperties   BoxProperties object   Fields:      border_color (series color) : Box border color. Default is color.blue      bgcolor (series color) : box background color      border_width (series int) : Box border width. Default is 1      border_style (series string) : Box border style. Default is line.style_solid      extend (series string) : Extend property of box. default is extend.none      xloc (series string) : defines if drawing needs to be done based on bar index or time. default is xloc.bar_index BoxText   Box Text properties.   Fields:      boxText (series string) : Text to be printed on the box      text_size (series string) : Text size. Default is size.auto      text_color (series color) : Box text color. Default is color.yellow.      text_halign (series string) : horizontal align style - default is text.align_center      text_valign (series string) : vertical align style - default is text.align_center      text_wrap (series string) : text wrap style - default is text.wrap_auto      text_font_family (series string) : Text font. Default is Box   Box object   Fields:      p1 (chart.point) : Diagonal point one      p2 (chart.point) : Diagonal point two      properties (BoxProperties) : Box properties      textProperties (BoxText) : Box text properties      object (series box) : Box object created PolyLineProperties   Fields:      curved (series bool)      closed (series bool)      xloc (series string)      lineColor (series color)      fillColor (series color)      lineStyle (series string)      lineWidth (series int) PolyLine   Fields:      points (array)      properties (PolyLineProperties)      object (series polyline)
Pine Script® Bibliothek
von Trendoscope
1
1% Range Bars with Sequence TableOverall Logic : The script is designed to help traders visualize and analyze price movements on the chart, where each 1% movement is highlighted with a corresponding symbol. Additionally, the table helps track and analyze the number and length of consecutive price movements in one direction, which can be useful for identifying trends and understanding market dynamics. This script can be particularly useful for traders looking for recurring patterns in price movements and wanting to quickly identify significant changes on the chart. Main elements of the script : Price Percentage Change: The script tracks the price movement by 1% from the last significant value (the value at which the last 1% change was recorded). If the price rises by 1% or more, a green circle is displayed above the bar. If the price drops by 1% or more, a red circle is displayed below the bar. Sequence Counting: The script counts the number of consecutive 1% moves upwards (green circles) and downwards (red circles). Separate counters are maintained for upward and downward movements, increasing each time the respective movement occurs. If an opposite movement interrupts the sequence, the counter for the opposite direction is reset. Sequence Table: A table displayed on the chart shows the number of sequences of 1% movements in one direction for lengths from 1 to 15 bars. The table is updated in real-time and shows how many times sequences of a certain length occurred on the chart, where the price moved by 1% in one direction.
Pine Script® Indikator
von young-but-old-12_06_1936
1
VPSA - Volume Price Spread AnalysisDear Analysts and Traders, I am pleased to present the latest version of my indicator, based on the logic of analyzing spread and volume. In this version, the indicator examines spread and volume using min-max normalization. The statistical value is captured through Z-Score standardization, and I have added configurable alerts based on the normalized values of spread, volume, and the sigmas for these variables. Theory and Evolution of the Indicator The normalization function used in this program allows for the comparison of two values with different ranges on a single chart. The values that reach the highest within the examined range are assigned a value of one. As in previous versions, I have adopted a bar chart where the wider bar represents volume and the narrower bar represents spread. I believe that using normalization is the most intuitive approach, as the standardization in the earlier sVPSA version could cause confusion. This was due to smaller bars for higher actual values and negative bars, which required additional reliance on actual volume data and significant proficiency in using the indicator. These were limitations stemming from the computational aspect of these issues. As in the previously mentioned script, I also used Z-Score standardization here, which serves as a measure of deviation from the mean. This is visualized in the script as the color of the bars, which in the default configuration are as follows: below one sigma - blue; above one sigma up to two sigmas - green; above two sigmas up to three sigmas - red; and above three sigmas - fuchsia. Additionally, I applied an exponential moving average in this indicator to minimize the influence of older candles on the mean. The indicator has been enhanced with configurable alerts, allowing for substantial control over the conditions triggering them. The alerts enable the definition of normalized variable values and sigma values. Furthermore, the program allows for the definition of logical dependencies for these conditions. Summary The program I have developed is a synthesis of the most important and useful functions from the indicators I previously created. The indicator is a standalone and powerful tool that facilitates effective analysis of the spread-volume relationship, which is one of the fundamental methods of analysis according to the Wyckoff and VSA methodologies. The alerts introduced in this version provide extensive possibilities for controlling the dynamics of any market. Should you encounter any errors or have suggestions regarding the indicator, please feel free to contact me. I wish you successful analyses! All the best! CatTheTrader
Pine Script® Indikator
von CatTheTrader
1
Uptrick: Trend SMA Oscillator### In-Depth Analysis of the "Uptrick: Trend SMA Oscillator" Indicator --- #### Introduction to the Indicator The "Uptrick: Trend SMA Oscillator" is an advanced yet user-friendly technical analysis tool designed to help traders across all levels of experience identify and follow market trends with precision. This indicator builds upon the fundamental principles of the Simple Moving Average (SMA), a cornerstone of technical analysis, to deliver a clear, visually intuitive overlay on the price chart. Through its strategic use of color-coding and customizable parameters, the Uptrick: Trend SMA Oscillator provides traders with actionable insights into market dynamics, enhancing their ability to make informed trading decisions. #### Core Concepts and Methodology 1. **Foundational Principle – Simple Moving Average (SMA):** - The Simple Moving Average (SMA) is the heart of the Uptrick: Trend SMA Oscillator. The SMA is a widely-used technical indicator that calculates the average price of an asset over a specified number of periods. By smoothing out price data, the SMA helps to reduce the noise from short-term fluctuations, providing a clearer picture of the overall trend. - In the Uptrick: Trend SMA Oscillator, two SMAs are employed: - **Primary SMA (oscValue):** This is applied to the closing price of the asset over a user-defined period (default is 14 periods). This SMA tracks the price closely and is sensitive to changes in market direction. - **Smoothing SMA (oscV):** This second SMA is applied to the primary SMA, further smoothing the data and helping to filter out minor price movements that might otherwise be mistaken for trend reversals. The default period for this smoothing is 50, but it can be adjusted to suit the trader's preference. 2. **Color-Coding for Trend Visualization:** - One of the most distinctive features of this indicator is its use of color to represent market trends. The indicator’s line changes color based on the relationship between the primary SMA and the smoothing SMA: - **Bullish (Green):** The line turns green when the primary SMA is equal to or greater than the smoothing SMA, indicating that the market is in an upward trend. - **Bearish (Red):** Conversely, the line turns red when the primary SMA falls below the smoothing SMA, signaling a downward trend. - This color-coded system provides traders with an immediate, easy-to-interpret visual cue about the market’s direction, allowing for quick decision-making. #### Detailed Explanation of Inputs 1. **Bullish Color (Default: Green #00ff00):** - This input allows traders to customize the color that represents bullish trends on the chart. The default setting is green, a color commonly associated with upward market movement. However, traders can adjust this to any color that suits their visual preferences or matches their overall chart theme. 2. **Bearish Color (Default: Red RGB: 245, 0, 0):** - The bearish color input determines the color of the line when the market is trending downwards. The default setting is a vivid red, signaling caution or selling opportunities. Like the bullish color, this can be customized to fit the trader’s needs. 3. **Line Thickness (Default: 5):** - This setting controls the thickness of the line plotted by the indicator. The default thickness of 5 makes the line prominent on the chart, ensuring that the trend is easily visible even in complex or crowded chart setups. Traders can adjust the thickness to make the line thinner or thicker, depending on their visual preferences. 4. **Primary SMA Period (Value 1 - Default: 14):** - The primary SMA period defines how many periods (e.g., days, hours) are used to calculate the moving average based on the asset’s closing prices. The default period of 14 is a balanced setting that offers a good mix of responsiveness and stability, but traders can adjust this depending on their trading style: - **Shorter Periods (e.g., 5-10):** These make the indicator more sensitive, capturing trends more quickly but also increasing the likelihood of reacting to short-term price fluctuations or "noise." - **Longer Periods (e.g., 20-50):** These smooth the data more, providing a more stable trend line that is less prone to whipsaws but may be slower to respond to trend changes. 5. **Smoothing SMA Period (Value 2 - Default: 50):** - The smoothing SMA period determines how much the primary SMA is smoothed. A longer smoothing period results in a more gradual, stable line that focuses on the broader trend. The default of 50 is designed to smooth out most of the short-term fluctuations while still being responsive enough to detect significant trend shifts. - **Customization:** - **Shorter Smoothing Periods (e.g., 20-30):** Make the indicator more responsive, better for fast-moving markets or for traders who want to capture quick trends. - **Longer Smoothing Periods (e.g., 70-100):** Enhance stability, ideal for long-term traders looking to avoid reacting to minor price movements. #### Unique Characteristics and Advantages 1. **Simplicity and Clarity:** - The Uptrick: Trend SMA Oscillator’s design prioritizes simplicity without sacrificing effectiveness. By relying on the widely understood SMA, it avoids the complexity of more esoteric indicators while still providing reliable trend signals. This simplicity makes it accessible to traders of all levels, from novices who are just learning about technical analysis to experienced traders looking for a straightforward, dependable tool. 2. **Visual Feedback Mechanism:** - The indicator’s use of color to signify market trends is a particularly powerful feature. This visual feedback mechanism allows traders to assess market conditions at a glance. The clarity of the green and red color scheme reduces the mental effort required to interpret the indicator, freeing the trader to focus on strategy execution. 3. **Adaptability Across Markets and Timeframes:** - One of the strengths of the Uptrick: Trend SMA Oscillator is its versatility. The basic principles of moving averages apply equally well across different asset classes and timeframes. Whether trading stocks, forex, commodities, or cryptocurrencies, traders can use this indicator to gain insights into market trends. - **Intraday Trading:** For day traders who operate on short timeframes (e.g., 1-minute, 5-minute charts), the oscillator can be adjusted to be more responsive, capturing quick shifts in momentum. - **Swing Trading:** Swing traders, who typically hold positions for several days to weeks, will find the default settings or slightly adjusted periods ideal for identifying and riding medium-term trends. - **Long-Term Trading:** Position traders and investors can adjust the indicator to focus on long-term trends by increasing the periods for both the primary and smoothing SMAs, filtering out minor fluctuations and highlighting sustained market movements. 4. **Minimal Lag:** - One of the challenges with moving averages is lag—the delay between when the price changes and when the indicator reflects this change. The Uptrick: Trend SMA Oscillator addresses this by allowing traders to adjust the periods to find a balance between responsiveness and stability. While all SMAs inherently have some lag, the customizable nature of this indicator helps traders mitigate this effect to align with their specific trading goals. 5. **Customizable and Intuitive:** - While many technical indicators come with a fixed set of parameters, the Uptrick: Trend SMA Oscillator is fully customizable, allowing traders to tailor it to their trading style, market conditions, and personal preferences. This makes it a highly flexible tool that can be adjusted as markets evolve or as a trader’s strategy changes over time. #### Practical Applications for Different Trader Profiles 1. **Day Traders:** - **Use Case:** Day traders can customize the SMA periods to create a faster, more responsive indicator. This allows them to capture short-term trends and make quick decisions. For example, reducing the primary SMA to 5 and the smoothing SMA to 20 can help day traders react promptly to intraday price movements. - **Strategy Integration:** Day traders might use the Uptrick: Trend SMA Oscillator in conjunction with volume-based indicators to confirm the strength of a trend before entering or exiting trades. 2. **Swing Traders:** - **Use Case:** Swing traders can use the default settings or slightly adjust them to smooth out minor price fluctuations while still capturing medium-term trends. This approach helps in identifying the optimal points to enter or exit trades based on the broader market direction. - **Strategy Integration:** Swing traders can combine this indicator with oscillators like the Relative Strength Index (RSI) to confirm overbought or oversold conditions, thereby refining their entry and exit strategies. 3. **Position Traders:** - **Use Case:** Position traders, who hold trades for extended periods, can extend the SMA periods to focus on long-term trends. By doing so, they minimize the impact of short-term market noise and focus on the underlying trend. - **Strategy Integration:** Position traders might use the Uptrick: Trend SMA Oscillator in combination with fundamental analysis. The indicator can help confirm the timing of entries and exits based on broader economic or corporate developments. 4. **Algorithmic and Quantitative Traders:** - **Use Case:** The simplicity and clear logic of the Uptrick: Trend SMA Oscillator make it an excellent candidate for algorithmic trading strategies. Its binary output—bullish or bearish—can be easily coded into automated trading systems. - **Strategy Integration:** Quant traders might use the indicator as part of a larger trading system that incorporates multiple indicators and rules, optimizing the SMA periods based on historical backtesting to achieve the best results. 5. **Novice Traders:** - **Use Case:** Beginners can use the Uptrick: Trend SMA Oscillator to learn the basics of trend-following strategies. The visual simplicity of the color-coded line helps novice traders quickly understand market direction without the need to interpret complex data. - **Educational Value:** The indicator serves as an excellent starting point for those new to technical analysis, providing a practical example of how moving averages work in a real-world trading environment. #### Combining the Indicator with Other Tools 1. **Relative Strength Index (RSI):** - The RSI is a momentum oscillator that measures the speed and change of price movements. When combined with the Uptrick: Trend SMA Oscillator, traders can look for instances where the RSI shows divergence from the price while the oscillator confirms the trend. This can be a powerful signal of an impending reversal or continuation. 2. **Moving Average Convergence Divergence (MACD):** - The MACD is another popular trend-following momentum indicator. By using it alongside the Uptrick: Trend SMA Oscillator, traders can confirm the strength of a trend and identify potential entry and exit points with greater confidence. For example, a bullish crossover on the MACD that coincides with the Uptrick: Trend SMA Oscillator turning green can be a strong buy signal. 3. **Volume Indicators:** - Volume is often considered the fuel behind price movements. Using volume indicators like the On-Balance Volume (OBV) or Volume Weighted Average Price (VWAP) in conjunction with the Uptrick: Trend SMA Oscillator can help traders confirm the validity of a trend. A trend identified by the oscillator that is supported by increasing volume is typically more reliable. 4. **Fibonacci Retracement:** - Fibonacci retracement levels are used to identify potential reversal levels in a trending market. When the Uptrick: Trend SMA Oscillator indicates a trend, traders can use Fibonacci retracement levels to find potential entry points that align with the broader trend direction. #### Implementation in Different Market Conditions 1. **Trending Markets:** - The Uptrick: Trend SMA Oscillator excels in trending markets, where it provides clear signals on the direction of the trend. In a strong uptrend, the line will remain green, helping traders stay in the trade for longer periods. In a downtrend, the red line will signal the continuation of bearish conditions, prompting traders to stay short or avoid long positions. 2. **Sideways or Range-Bound Markets:** - In range-bound markets, where price oscillates within a confined range without a clear trend, the Uptrick: Trend SMA Oscillator may produce more frequent changes in color. While this could indicate potential reversals at the range boundaries, traders should be cautious of false signals. It may be beneficial to pair the oscillator with a volatility indicator to better navigate such conditions. 3. **Volatile Markets:** - In highly volatile markets, where prices can swing rapidly, the sensitivity of the Uptrick: Trend SMA Oscillator can be adjusted by modifying the SMA periods. A shorter SMA period might capture quick trends, but traders should be aware of the increased risk of whipsaws. Combining the oscillator with a volatility filter or using it in a higher time frame might help mitigate some of this risk. #### Final Thoughts The "Uptrick: Trend SMA Oscillator" is a versatile, easy-to-use indicator that stands out for its simplicity, visual clarity, and adaptability. It provides traders with a straightforward method to identify and follow market trends, using the well-established concept of moving averages. The indicator’s customizable nature makes it suitable for a wide range of trading styles, from day trading to long-term investing, and across various asset classes. By offering immediate visual feedback through color-coded signals, the Uptrick: Trend SMA Oscillator simplifies the decision-making process, allowing traders to focus on execution rather than interpretation. Whether used on its own or as part of a broader technical analysis toolkit, this indicator has the potential to enhance trading strategies and improve overall performance. Its accessibility and ease of use make it particularly appealing to novice traders, while its adaptability and reliability ensure that it remains a valuable tool for more experienced market participants. As markets continue to evolve, the Uptrick: Trend SMA Oscillator remains a timeless tool, rooted in the fundamental principles of technical analysis, yet flexible enough to meet the demands of modern trading.
Pine Script® Indikator
von Uptrick
Uptrick: FVG Market Zones**Uptrick: FVG Market Zones** --- ### Introduction **Uptrick: FVG Market Zones** is a cutting-edge technical analysis tool designed to identify and visualize Fair Value Gaps (FVGs) within financial markets. This indicator focuses on pinpointing critical price levels where significant gaps occur, which can act as potential support and resistance zones. By integrating advanced volatility analysis and user-configurable parameters, the **Uptrick: FVG Market Zones** provides traders with a robust framework for understanding market dynamics and making informed trading decisions. ### Purpose and Functionality The primary purpose of the **Uptrick: FVG Market Zones** indicator is to detect and highlight Fair Value Gaps, which are areas on a price chart where there is a significant price movement without any trading activity in between. These gaps can provide critical insights into market behavior, as they often indicate areas where the market has not fully accounted for the supply and demand dynamics. Traders use these zones to anticipate potential reversals, breakouts, or consolidations, making this tool highly valuable for both short-term and long-term trading strategies. ### Unique Features and Originality The **Uptrick: FVG Market Zones** indicator is distinguished by its focus on FVGs and its ability to integrate this concept into a broader market analysis framework. Unlike other indicators that may offer generalized support and resistance levels, this tool specifically identifies and visualizes gaps based on volatility-adjusted criteria. This precision allows traders to focus on the most relevant market zones, improving their ability to anticipate market movements. One of the standout features of this indicator is its user-configurable settings, which provide a high degree of customization. This flexibility ensures that traders can tailor the indicator to suit their specific trading style and the particular market they are analyzing. Additionally, the indicator's visualization capabilities are enhanced with customizable colors and gap-filling options, making it easier for traders to interpret and act on the information presented. ### Inputs and Configurations **Uptrick: FVG Market Zones** comes with several user inputs that allow traders to customize the indicator's behavior and appearance. Each input plays a crucial role in determining how the indicator identifies and visualizes FVGs on the chart. Here’s a detailed breakdown of each input: 1. **FVG Analysis Period (fvgPeriod):** - **Description:** This input determines the period over which the indicator analyzes the chart for identifying FVGs. By adjusting this value, traders can control how far back in time the indicator looks to detect significant gaps. - **Default Value:** 25 - **Purpose:** A shorter period may focus on more recent market activity, making the indicator more sensitive to recent price movements. In contrast, a longer period allows the indicator to identify gaps that have remained unfilled for an extended time, potentially acting as stronger support or resistance levels. 2. **Analysis Mode (mode):** - **Description:** The Analysis Mode input allows traders to choose between different methods of analyzing the chart for FVGs. - **Options:** "Recent Gaps" and "Extended View" - **Default Option:** "Recent Gaps" - **Purpose:** - **Recent Gaps:** Focuses on the latest significant gaps, providing traders with up-to-date information on the most relevant market zones. - **Extended View:** Considers a broader range of gap patterns, which can be useful in markets where historical gaps may still influence current price action. 3. **Volatility Sensitivity (volatilityFactor):** - **Description:** This input adjusts the sensitivity of the indicator to market volatility. It is used in calculating the threshold for identifying FVGs. - **Default Value:** 0.3 - **Step Size:** 0.1 - **Purpose:** A higher sensitivity will cause the indicator to detect smaller gaps, which might be more frequent but less significant. Lower sensitivity focuses on larger, more impactful gaps, which are less frequent but potentially more powerful in predicting market behavior. 4. **Highlight Market Gaps (showGaps):** - **Description:** A boolean input that determines whether the identified FVGs should be highlighted on the chart. - **Default Value:** True - **Purpose:** This input allows traders to toggle the visualization of FVGs. When enabled, the indicator highlights gaps using colored boxes, making them visually prominent on the chart. 5. **Bullish Highlight Color (bullColor):** - **Description:** Sets the color used to highlight bullish FVGs (gaps that may indicate support). - **Default Value:** #00FF7F (a shade of green) - **Purpose:** The color choice is crucial for quickly distinguishing bullish zones from bearish ones. Green is typically associated with upward price movement, making it intuitive for traders to identify potential support areas. 6. **Bearish Highlight Color (bearColor):** - **Description:** Sets the color used to highlight bearish FVGs (gaps that may indicate resistance). - **Default Value:** #FF4500 (a shade of red) - **Purpose:** Red is commonly associated with downward price movement, making it easy for traders to identify potential resistance areas. This color coding helps in quickly assessing the chart. 7. **Fill Gap Areas (fillGaps):** - **Description:** A boolean input that determines whether the FVGs should be filled with a color on the chart. - **Default Value:** True - **Purpose:** Filling the gap areas provides a more solid visual cue for traders. It enhances the visibility of the gaps, making it easier to spot these zones during fast-paced trading sessions. 8. **Hidden Color (hidden):** - **Description:** A color input that is used when certain elements should be hidden from the chart. - **Default Value:** color.rgb(0,0,0,100) (a semi-transparent black) - **Purpose:** This input is useful for controlling the visibility of certain plots or elements on the chart, ensuring that the indicator remains clean and uncluttered. ### Market Gap Detection The core functionality of the **Uptrick: FVG Market Zones** indicator lies in its ability to detect Fair Value Gaps. These gaps occur when the price makes a significant jump from one level to another without any trading activity in between. The indicator uses a combination of price action analysis and volatility thresholds to identify these gaps. - **Volatility Measurement:** The indicator begins by measuring market volatility using the Average True Range (ATR). This volatility measurement is then adjusted by the user-defined sensitivity factor, which determines the threshold for identifying significant gaps. - **Gap Identification:** The indicator checks for instances where the current low is higher than the high two bars ago (bullish gap) or where the current high is lower than the low two bars ago (bearish gap). These conditions signify a potential FVG. - **Gap Storage and Management:** Once a gap is identified, it is stored in an array. The indicator also manages the size of these arrays based on the selected analysis mode, ensuring that only the most relevant gaps are considered in the analysis. ### Visualization Visualization is a key component of the **Uptrick: FVG Market Zones** indicator. By providing clear and customizable visual cues, the indicator ensures that traders can quickly and easily interpret the information it provides. - **Gap Highlighting:** When enabled, the indicator highlights the identified FVGs on the chart using colored boxes. Bullish gaps are highlighted in green, while bearish gaps are highlighted in red. This color coding helps traders instantly recognize potential support and resistance zones. - **Gap Filling:** The indicator can also fill the identified gaps with a semi-transparent color. This option enhances the visibility of the gaps, making them more prominent on the chart. Filled gaps are particularly useful for traders who want to keep track of these zones over multiple trading sessions. - **Gap Averages:** The indicator calculates the average level of the identified gaps and plots these averages as lines on the chart. These lines represent the general area of support or resistance based on the detected gaps, providing traders with a reference point for setting their stop losses or profit targets. - **Text Labels:** The indicator also labels each FVG with the text "FVG" inside the highlighted area. This feature ensures that traders can easily identify these zones even in charts with dense price action. ### Practical Applications The **Uptrick: FVG Market Zones** indicator is versatile and can be applied to a wide range of trading strategies across different markets and timeframes. Here are a few examples of how this indicator can be used in practice: 1. **Support and Resistance Trading:** - Traders can use the identified FVGs as dynamic support and resistance levels. By placing their trades based on these levels, they can take advantage of potential reversals or continuations at key market zones. 2. **Gap Filling Strategy:** - Some traders focus on the concept of gap filling, where the market eventually returns to "fill" the gap created by rapid price movements. The **Uptrick: FVG Market Zones** indicator can help identify such gaps and anticipate when the market might return to these levels. 3. **Breakout Trading:** - The indicator can be used to identify breakouts from significant gaps. When the price moves beyond the identified FVGs, it may signal a strong trend continuation, providing an opportunity for breakout traders. 4. **Reversal Trading:** - By monitoring the signals generated by the indicator, traders can identify potential market reversals. A sell signal after a prolonged uptrend or a buy signal after a downtrend may indicate a reversal, allowing traders to position themselves accordingly. 5. **Risk Management:** - The average levels of the FVGs can be used to set stop-loss and take-profit levels. By aligning these levels with the FVG zones, traders can improve their risk management practices and enhance their trading discipline. ### Customization and Flexibility One of the standout features of the **Uptrick: FVG Market Zones** indicator is its high level of customization. Traders can adjust various parameters to tailor the indicator to their specific needs and preferences. - **Customizable Colors:** The indicator allows traders to choose their preferred colors for highlighting bullish and bearish gaps. This flexibility ensures that the indicator can be integrated seamlessly into any trading setup, regardless of the trader's color scheme preferences. - **Adjustable Periods and Sensitivity:** By allowing traders to adjust the analysis period and volatility sensitivity, the indicator can be fine-tuned to suit different market conditions. For example, a trader might use a shorter analysis period and higher sensitivity in a volatile market, while opting for a longer period and lower sensitivity in a more stable market. - **Toggling Visual Elements:** Traders can choose to enable or disable various visual elements of the indicator, such as gap highlighting, gap filling, and text labels. This level of control allows traders to declutter their charts and focus on the information that is most relevant to their trading strategy. ### Advantages and Benefits The **Uptrick: FVG Market Zones** indicator offers several key advantages that make it a valuable tool for traders: 1. **Precision:** By focusing on Fair Value Gaps, the indicator provides highly precise levels of support and resistance, which are often more reliable than traditional horizontal levels. 2. **Clarity:** The clear visual representation of FVGs, along with the text labels and color coding, ensures that traders can quickly interpret the indicator's signals and incorporate them into their trading decisions. 3. **Adaptability:** The indicator's customizable settings allow it to be adapted to different markets, timeframes, and trading styles. Whether you are a day trader, swing trader, or long-term investor, this indicator can be tailored to meet your needs. 4. **Enhanced Decision-Making:** The trading signals generated by the indicator provide actionable insights that can help traders make more informed decisions. By aligning their trades with the identified FVG zones, traders can improve their chances of success. 5. **Risk Management:** The use of FVG zones as reference points for stop-loss and take-profit levels enhances risk management practices, helping traders protect their capital while maximizing their profit potential. ### Conclusion The **Uptrick: FVG Market Zones** indicator is a powerful and versatile tool for traders seeking to enhance their market analysis and improve their trading outcomes. By focusing on Fair Value Gaps and providing a high level of customization, this indicator offers a unique blend of precision, clarity, and adaptability. Whether you are looking to identify key market zones, generate trading signals, or improve your risk management practices, the **Uptrick: FVG Market Zones** indicator is a valuable addition to any trader's toolkit. With its innovative approach to market analysis and user-friendly design, **Uptrick: FVG Market Zones** stands out as an essential tool for traders who want to stay ahead of the market and make more informed trading decisions. Whether you are trading stocks, forex, commodities, or cryptocurrencies, this indicator provides the insights you need to navigate the markets with confidence and success.
Pine Script® Indikator
von Uptrick
2
TASC 2024.09 Precision Trend Analysis█ OVERVIEW This script introduces an approach for detecting and confirming trends in price series based on digital signal processing principles, as presented by John Ehlers in the "Precision Trend Analysis" article from the September 2024 edition of TASC's Traders' Tips . █ CONCEPTS Traditional trend-following indicators, such as moving averages , are lowpass filters that pass low-frequency components in a series and remove high-frequency components. Because lowpass filters preserve lengthy cycles in the data while attenuating shorter cycles, such filters have unavoidable lag that impacts the timeliness of trading signals. In his article, John Ehlers presents an alternative approach that combines two highpass filters with different lengths to remove undesired high-frequency content via cancellation . Highpass filters have nearly zero lag. As such, the resulting trend indicator from this approach is very responsive to changes in the price series, with peaks and valleys that closely align with those of the price data. The indicator signifies an uptrend when its value is positive (i.e., above the balance point) and a downtrend when it is negative. Subsequently, John Ehlers demonstrates that one can use the trend indicator's rate of change (ROC) to determine the onset of new trend movements. The ROC is zero at peaks and valleys in the trend indicator. Therefore, when the ROC crosses above zero, it signifies the onset or continuation of an uptrend. Likewise, the ROC crossing below zero indicates the onset or continuation of a downtrend. Note, however, that because the ROC does not preserve lower-frequency information, it can produce whipsaw trading signals in sideways or continuously trending price series. This script implements both the trend indicator and its ROC along with the following on-chart signals: • Green and red arrows that indicate the possible onset or continuation of an uptrend and downtrend, respectively • Bar and plot colors that signify the sign (direction) of the trend indicator █ CALCULATIONS The math behind the trend indicator comes from digital filter design principles. The first step applies a digital highpass filter that attenuates long cycles with periods above the user-specified critical period. The default value is 250 bars, representing roughly one year for instruments such as stocks on the daily timeframe. The next step applies a highpass filter with a shorter period (40 bars by default). The difference between these filters determines the trend indicator, which preserves cyclic components between 40 and 250 bars by default while attenuating and eliminating others. The ROC represents the scaled one-bar difference in the trend indicator.
Pine Script® Indikator
von PineCodersTASC
15
False Breakouts [TradingFinder] Fake Breakouts Failure🔵 Introduction Technical indicators are essential tools for analysts and traders in financial markets, helping them predict price movements and make better trading decisions. One of the key concepts in technical analysis that should be carefully considered is the "False Breakout." This phenomenon occurs when a price temporarily breaks through a significant support or resistance level but fails to hold and quickly returns to its previous range. Understanding this concept and applying it in trading can reduce risks and increase profitability. 🟣 What is a False Breakout? A Fake Breakout, as the name suggests, refers to a breakout that appears to occur but fails to sustain, leading the price to quickly revert back to its previous range. This situation often happens when inexperienced or non-professional traders, under psychological pressure and eager to enter the market quickly, initiate trades. This creates opportunities for professional traders to take advantage of these short-term fluctuations and execute successful trades. 🟣 The Importance of Recognizing False Breakouts Recognizing False Breakouts is crucial for any trader aiming for success in financial markets. False Breakouts typically occur when the market approaches a critical support or resistance level. In these situations, many traders are waiting to see if the price will break through this level. However, when the price quickly returns to its previous range, it indicates weakness in the movement and the inability to sustain the breakout. 🟣 How to identify False Breakouts? To identify Fake Breakouts, it is important to carefully analyze price charts and look for signs of a quick price reversal after breaking a key level. Here are some chart patterns that may help you identify a False Breakout : 1. Pin Bar Pattern : The Pin Bar is a candlestick pattern that indicates a price reversal. This pattern usually appears near support and resistance levels, showing that the price attempted to break through a key level but failed and reversed. 2. Fakey Pattern : This pattern, which consists of several candlesticks, indicates a False Breakout and a quick price return to the previous range. It usually appears near key levels and can signal a trend reversal. 3. Using Multiple Timeframes : One way to identify False Breakouts is by using charts of different timeframes. Sometimes, a breakout on a one-hour chart may be a False Breakout on a daily chart. Analyzing charts across multiple timeframes can help you accurately identify this phenomenon. 🔵 How to Use Once you identify a False Breakout, you can use it as a trading signal. For this, it is best to look for trading opportunities in the opposite direction of the False Breakout. In other words, if a False Breakout occurs at a resistance level, you might consider selling opportunities, and if it happens at a support level, you might look for buying opportunities. Here are some key points for trading based on False Breakouts : 1. Patience and Discipline : Patience and discipline are crucial when trading with False Breakouts. Wait for the False Breakout to clearly form before entering a trade. 2. Use Stop Loss : Setting an appropriate stop loss is vital when trading based on False Breakouts. Typically, the stop loss can be placed near the level where the False Breakout occurred. 3. Seek Confirmations : Before entering a trade, look for additional confirmations. These can include other analyses or technical indicators that show the price is likely to return to its previous level. 🔵 Settings 🟣 Logical settings Swing period : You can set the swing detection period. Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine. Max Swing Bac k: You can set the number of swings that will go back for checking. 🟣 Display settings Displaying or not displaying swings and setting the color of labels and lines. 🟣 Alert Settings Alert False Breakout : Enables alerts for Breakout. Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'. Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'. 🔵Conclusion False Breakouts, as a key concept in technical analysis, are powerful tools for identifying sudden price changes and using them in trading. Understanding this phenomenon and applying it can help traders perform better in financial markets and avoid potential losses. To benefit from False Breakouts, traders need to carefully analyze charts and use the appropriate analytical tools. By leveraging this strategy, traders can achieve lower-risk and higher-reward trades.
Pine Script® Indikator
von TFlab
7
Range supply and demandHi all! This is a very simple indicator. It plots the high timeframe (configurable via the "Timeframe" setting) high/low current timeframe bars (that has the same high/low as the higher timeframe) as supply/demand. The higher timeframe bar that's chosen is the one that's next last. As of now one high and one low zone is plotted. The defaults are based on useful zones when on daily candles. You can choose to display the higher timeframe within the zone via the "Show" option. Hope this is clear enough, let me know otherwise. Best of luck trading!
Pine Script® Indikator
von mickes
2
RSI-based MACDThe RSI is one of the most popular indicators available. This indicator, which represents the strength of market momentum based on the gains and losses over the past 14 candlesticks, is rational and is mainly used as an oscillator to determine overbought or oversold conditions. However, because the RSI is an older indicator, its very simple design—displaying only a single line on the graph—may feel somewhat lacking in functionality to modern traders. The main issue is that there is no objective measure to determine whether the RSI is currently rising or falling. That’s when I came up with the idea of calculating the MACD based on the smoothed values of the RSI. As is well known, the MACD is an indicator that represents the distance between moving averages, designed to show when the moving averages cross as the value falls below zero. By observing the golden crosses and death crosses of the MACD and signal line, one can anticipate the golden and death crosses of the moving averages. Applying the same logic, I thought that calculating the MACD based on RSI values would allow us to predict the rise and fall of the RSI by observing these golden and death crosses. Currently, the RSI is often used as a contrarian indicator to determine overbought and oversold conditions, but with this approach, I believe the RSI can instead function extremely well as a trend-following indicator. Whenever an uptrend occurs, the RSI inevitably rises, and when a downtrend occurs, the RSI inevitably falls. Therefore, by predicting the rise and fall of the RSI, it becomes possible to forecast what kind of trend is likely to develop. In this indicator, the MACD calculated from the RSI is displayed, with the original RSI line plotted above it. Since the scales of the RSI and MACD are different, I originally wanted to provide a separate scale for the RSI on the left side. However, due to TradingView’s limitations, it seems quite difficult to display more than one scale in a single panel, so I had to give up on that. Instead, I ask that you mentally multiply the RSI values displayed on the right by 10—for example, 2.11 indicates 21.1%. Additionally, as a bonus, I’ve included a feature that detects divergences. With these features, I believe this has become the most useful indicator when compared to existing RSI-based indicators. I hope you find it helpful in your trading.
Pine Script® Indikator
von takase11112222
1
Delta Flow Profile [LuxAlgo]The Delta Flow Profile is a charting tool that tracks and visualizes money flow and the difference between buying and selling pressure accumulated within multiple price ranges over a specified period. It reveals the relationship between an asset's price and traders' willingness to buy or sell, helping traders identify significant price levels and analyze market activity. The Normalized Profile displays the percentage of money flow at each price level relative to the maximum money flow level, enabling traders to easily compare levels and understand the relative importance of each price point in the context of overall trading activity. 🔶 USAGE The Delta Flow Profile is made of two principal components with different usability, each one of them described in the sub-sections below. 🔹 Money Flow Profile The Money Flow Profile illustrates the total buying and selling activity at different price ranges. By analyzing this profile, users can identify key price zones with substantial buying or selling pressure. These zones can often act as potential support or resistance. The rows of the Money Flow Profile represent the trading activity at specific price ranges over a given period. A normalized profile is included to compare each zone relative to the peak money flow using a percentage, with 100% indicating that a price range is the one with the highest accumulated money flow. 🔹 Delta Profile The Delta Profile assesses the dominant sentiment (buying or selling) from volume delta at different price levels to gauge market sentiment and potential reversals. Delta Profile rows with more significant buying or selling volume indicate dominance from one side of the market in that specific price area. Price coming back to that area might indicate willingness from a dominant side to further accumulate orders within it, potentially causing price to follow the direction established by this dominant side afterward. The volume delta is determined from the user-selected Polarity Method, with "Bar Polarity" using candle sentiment to determine if a bar associated volume is buying or selling volume, and "Bar Buying/Selling Pressure" making use of the high/low price to obtain more precise results. 🔹 Level of Significance Users can quickly highlight the price levels with the highest recorded money flow activity through the included "Level of Significance". Various display methods are included: Developing: Show the price level with the highest recorded money flow activity spanning over the indicator calculation interval. Level: Show the price level with the highest recorded money flow activity. Row: Show the price zone with the highest recorded money flow activity. These levels/zones can be used as potential support/resistance points and can serve as a reference of where prices might go next for market participants to accumulate orders. 🔶 SETTINGS The script offers a range of customizable settings to tailor the analysis to your trading needs. 🔹 Calculation Settings Money Flow Profile: Toggles the visibility of the Money Flow Profile. Normalized: Toggles the visibility of the Normalized Profile. Sentiment Profile: Toggles the visibility of the Sentiment Profile. Polarity Method: Choose between Bar Polarity or Bar Buying/Selling Pressure to calculate the Sentiment Profile. Level of Significance: Toggles the visibility of the level of significance line/zone. Lookback Length / Fixed Range: Sets the lookback length. Number of Rows: Specify how many rows each profile histogram will have. 🔹 Display Settings Profile Width %: Alters the width of the rows in the histogram, relative to the profile length. Profile Horizontal Offset: Enables moving the profile on the horizontal axis. Profile Text: Toggles the visibility of profile texts, and alters the size of the text. Setting to Auto will keep the text within the box limits. Currency: Extends the profile text with the traded currency. Profile Price Levels: Toggles the visibility of the profile price levels. 🔶 RELATED SCRIPTS Money-Flow-Profile Volume-Profile-with-Node-Detection
Pine Script® Indikator
von LuxAlgo
22
ArbitrageDashboardv3310824This indicator allows you to monitor the spread (difference in exchange rates) between two assets in real-time for up to 12 trading pairs simultaneously. ⚙️ How does the indicator work? In the settings menu, you can select two trading pairs, such as BTCUSDT on Binance and BTCUSDT on Bybit. The script then fetches prices from both exchanges and compares them, calculating the percentage difference (spread). This process is repeated for all 12 trading pairs added in the settings. The script works only with the assets and exchanges available on TradingView. ⚡️ How to use it? When the spread is negative, it means the asset's price on the first exchange is lower than on the second. By buying on the first exchange and selling on the second, you can make a profit (taking into account the exchange fees). When the spread is positive, the opposite is true. The buy prices and exchanges are shown in a green Buy row, while sell prices and exchanges are displayed in a red Sell row. If the spread is zero, prices are the same on both exchanges, and no arbitrage opportunity exists. For better accuracy, use the smallest timeframe available in your TradingView subscription, such as minute or second intervals. 🕒 Arbitrage Situation Counter For each trading pair, the table below the Buy row shows the number of arbitrage situations within a specified timeframe. An arbitrage situation occurs when the spread exceeds the Signal Threshold Level set by the user. Each time this happens, the counter increases by one. It only counts situations that occurred within the selected timeframe, such as the past hour for a 1-hour period. You can track arbitrage situations for up to three different periods simultaneously, ranging from 5 minutes to 24 hours. This counter helps evaluate the potential for arbitrage in the selected trading pairs. If a pair shows only 1-2 arbitrage situations per hour, it might be better to look for another pair. 🔔 Setting Up Alerts In the script settings, you can set the Spread Signal Threshold. When the spread reaches this level, the table for that asset will be highlighted. This threshold also acts as a signal for setting up alerts. To set alerts, go to the Alerts tab in the TradingView menu on the right, click "Create Alert", and select this indicator under "Condition". You can then name the alert and finish the setup by clicking "Create". We, the authors, have long been involved in cryptocurrency arbitrage and created this script for our own trading, but you can use it for any assets and markets as you see fit. We also offer lighter versions of the indicator that track the spread for one or three trading pairs. These versions also display the spread chart, which can be useful for historical analysis. If the full indicator is too resource-intensive for your device, try these lighter versions: 🧩 Arbitrage Spread v1 : 1 pair + 1 chart 🧩 Arbitrage Spread v2 : 3 pairs + 3 charts If your hardware can handle it, you can use the 12-pair version as a dashboard and add one of the versions with a spread chart for a detailed view of one or three pairs. -- Этот индикатор позволяет в реальном времени отслеживать изменение спреда (разницы в цене) между двумя активами для 12 торговых пар одновременно. ⚙️ Как работает индикатор? В меню настроек индикатора пользователь выбирает две торговые пары, например BTCUSDT на бирже Binance и BTCUSDT на бирже Bybit. Скрипт получает цены с обеих бирж и сравнивает их, рассчитывая процентное отклонение (спред). Этот процесс выполняется для всех 12 торговых пар, указанных в настройках. Скрипт работает только с теми активами и биржами, которые доступны на TradingView. ⚡️ Как использовать? Когда спред отрицательный, это означает, что цена на первый актив ниже, чем на второй. В таком случае можно купить актив на первой бирже и продать на второй, получив прибыль (не забывая учитывать биржевые комиссии). Когда спред положительный, ситуация обратная. Биржи и цены для покупки отображаются в зеленой строке Buy, а для продажи – в красной строке Sell. При нулевом спреде цены на обеих биржах одинаковы, и арбитражная ситуация отсутствует. Для повышения точности индикатора используйте минимально доступный таймфрейм на TradingView – минутный или секундный. 🕒 Счетчик арбитражных ситуаций По каждой торговой паре в таблице под строкой Buy отображается количество арбитражных ситуаций за определенный промежуток времени. Арбитражная ситуация возникает, когда спред превышает установленный пользователем сигнальный уровень (Signal Threshold Level). При каждом превышении этого уровня счетчик увеличивается на единицу. Счетчик учитывает арбитражные ситуации за определенный период, например, за последний час для 1-часового периода (1h). Можно отслеживать количество арбитражных ситуаций одновременно для трех временных периодов от 5 минут до суток. Счетчик помогает оценить перспективность арбитража выбранных пар. Если за час на паре было всего 1-2 арбитражные ситуации, возможно, лучше поискать другую пару. 🔔 Настройка оповещений В настройках скрипта можно задать пороговое значение спреда (Spread Signal Threshold). Когда спред достигнет этого уровня, таблица для данного актива будет подсвечена. Этот уровень также служит сигналом для настройки оповещений. Для настройки оповещений откройте вкладку «Оповещения» в меню TradingView справа. Нажмите кнопку «Создать оповещение». В открывшемся окне в строке «Условие» выберите данный индикатор. Затем задайте название и завершите настройку, нажав кнопку «Создать». Мы, авторы этого скрипта, давно занимаемся арбитражем криптовалют и создали его для себя, но вы можете использовать его для любых активов и на любых рынках по своему усмотрению. У нас также есть более простая версия индикатора, которая отслеживает спред для одной или трех торговых пар. В этих версиях можно просматривать график самого спреда, что полезно для оценки его динамики. Если этот индикатор кажется вам или вашему устройству слишком тяжелым, вы можете воспользоваться облегченными версиями: 🧩 Arbitrage Spread v1 : 1 пара + 1 график 🧩 Arbitrage Spread v2 : 3 пары + 3 графика Если ваше оборудование позволяет, вы можете добавить несколько индикаторов на экран. Например, использовать версию с 12 парами как дашборд, а одну из версий с графиком спреда для более детального анализа по одному или трем инструментам.
Pine Script® Indikator
von ArbyTradeManager