Bắt đầu

Tìm kiếm tập lệnh với "Table"

Tick Data DetailedHello All, After Tick Chart and Tick Chart RSI scripts, this is Tick Data Detailed script. Like other tick scrips this one only works on real-time bars too. it creates two tables: the table at the right shows the detailed data for Current Bar and the table at the left shows the detailed data for all calculated bars (cumulative). the script checks the volume on each tick and add the tick and volume to the specified level (you can set/change levels) The volume is multiplied by close price to calculate real volume .There are 7 levels/zones and the default levels are: 0 - 10.000 10.000 - 20.000 20.000 - 50.000 50.000 - 100.000 100.000 - 200.000 200.000 - 400.000 > 400.000 With this info, you will get number of ticks and total volumes on each levels. The idea to separate this levels is in order to know which type of traders trade at that moment. for example volume of whale moves are probably greater than 400.000 or at least 100.000. Or volume of small traders is less than 10.000 or between 20.000-50.000. You will get info if there is anomaly on each candle as well. what is anomaly definition? Current candle is green but Sell volume is greater than Buy volume or current candle is red but Buy volume is greater than Sell volume . it is shown as (!). you should think/search why/how this anomaly occurs. You can see screenshot about it below. also "TOTAL" text color changes automatically. if Buy volume is greater than Sell volume then its color becomes Green, if Sell volume is greater than Buy volume then its color becomes Red (or any color you set) Optionally you can change background and text colors as shown in the example below. Explanation: How anomaly is shown: You can enable coloring background and set the colors as you wish: And Thanks to @Duyck for letting me use the special characters from his great script. Enjoy!
Chỉ báo Pine Script®
của LonesomeTheBlue
93
JMA Quantum Edge: Adaptive Precision Trading System JMA Quantum Edge: Adaptive Precision Trading System - Enhanced Visuals & Risk Management Get ready to experience a groundbreaking trading strategy that adapts in real-time to market conditions! This powerful, open-source script combines advanced technical analysis with state-of-the-art risk management tools, designed to give you the edge you need in today's dynamic markets. What It Does: Adaptive JMA Indicator: Utilizes a custom Jurik Moving Average (JMA) that adjusts its sensitivity based on market volatility, ensuring you get precise signals even in the most fluctuating environments. Dynamic Risk Management: Features built-in support for partial exits (scaling out) to secure profits, along with an optional Kelly Criterion-based position sizing that tailors your exposure based on historical performance metrics. Robust Error Handling: Incorporates market condition filters—like minimum volume and maximum allowed gap percentage—to ensure trades are only executed under favorable conditions. Vivid Visual Enhancements: Enjoy an animated background that reflects market momentum, dynamic pivot markers, and clearly drawn trend channels. Plus, interactive tables provide real-time performance analytics and detailed error metrics. Fully Customizable: With a comprehensive set of inputs, you can easily tailor the strategy to your personal trading style and market preferences. Adjust everything from JMA parameters to refresh intervals for tables and labels! How to Use It: Add the Script: Copy and paste the script into the Pine Script Editor on TradingView and click “Add to Chart.” Configure Your Settings: Customize your risk management (capital, commission, position sizing, partial exits, etc.) and tweak the JMA settings to match your preferred trading style. Use the extensive input panel to adjust visuals, alerts, and more. Backtest & Optimize: Run the strategy in the Strategy Tester to analyze its historical performance. Monitor real-time analytics and error metrics via the interactive tables, and fine-tune your parameters for optimal performance. Go Live with Confidence: Once you're satisfied with the backtest results, use the generated signals for live trading, and let the system help you stay ahead in fast-paced markets! How to use the imputs: This cutting-edge strategy is designed to adapt to changing market conditions and offers you complete control over your trading parameters. Here’s a breakdown of what each group of inputs does and how you should use them: Risk Management & Trade Settings Recalculate on Every Tick: What it does: When enabled, the strategy recalculates on every price update. Recommendation: Leave it true for fast charts. Initial Capital: What it does: Sets your starting capital for backtesting, which influences position sizing and performance metrics. Recommendation: Start with $10,000 (or adjust according to your trading capital). Commission (%): What it does: Simulates the cost per trade. Recommendation: Use a realistic rate (e.g., 0.04%). Position Size & Quantity Type: What they do: Define how large each trade will be. Choose between a fixed unit amount or a percentage of equity. Recommendation: For beginners, the default fixed value is a good start. Experiment later with percentage-based sizing if needed. Order Comment: What it does: Adds a label to your orders for easier tracking. Allow Reverse Orders: What it does: If disabled, the strategy will close opposing positions before entering a new trade, reducing conflicts. Enable Dynamic Position Sizing: What it does: Adjusts trade size based on current volatility. Recommendation: Beginners may start with this disabled until they understand basic sizing. Partial Exit Inputs: What they do: Enable Partial Exits: When turned on, you can scale out of your position to lock in profits. Partial Exit Profit (%): The profit percentage that triggers a partial exit. Partial Exit Percentage: The percentage of your current position to exit. Recommendation: Use defaults (e.g., 5% profit, 50% exit) to secure profits gradually. Kelly Criterion Option: What it does: When enabled, adjusts your position sizing using historical performance (win rate and profit factor). Recommendation: Beginners might leave this disabled until comfortable with backtest performance metrics. Market Condition Filters: What they do: Minimum Volume: Ensures trades occur only when there’s sufficient market activity. Maximum Gap (%): Prevents trading if there’s an unusually large gap between the previous close and current open. Recommendation: Defaults work well for most markets. If trades seem erratic, consider tightening these limits. JMA Settings Price Source: What it does: The input series for the JMA calculation, typically set to the closing price. JMA Length: What it does: Controls the smoothing period of the JMA. Lower values are more sensitive; higher values smooth out the noise. Recommendation: Start with 21. JMA Phase & Power: What they do: Adjust how responsive the JMA is. Phase controls timing; power adjusts the intensity. Recommendation: Default settings (63 phase and 3 power) are a balanced starting point. Visual Settings & Style Show JMA Line, Pivot Lines, and Pivot Labels: What they do: Toggle visual elements on your chart for easier signal identification. Pivot History Count: What it does: Limits how many historical pivot markers are displayed. Color Settings (Up/Down Neon Colors): What they do: Set the visual cues for buy and sell signals. Pivot Marker & Line Style: What they do: Choose the style and thickness of your pivot markers and lines. Show Stats Panel: What it does: Displays real-time performance and error metrics. Dynamic Background & Visual Enhancements Animate Background: What it does: Changes the background color based on market momentum. Show Trend Channels & Volume Zones: What they do: Draw trend channels and highlight areas of high volatility/volume. Show Data-Rich Labels: What it does: Displays key metrics like volume, error percentage, and momentum on the chart. High Volatility Threshold: What it does: Determines the multiplier for when the chart background should change due to high volatility. Multi-Timeframe Settings Higher Timeframe: What it does: Uses a higher timeframe’s JMA for trend confirmation. Recommendation: Use Daily ('D') or Weekly ('W') for broader trend analysis. Show HTF Trend Zone & Opacity: What they do: Display a visual zone from the higher timeframe to help confirm trends. 6. Trailing Stop Settings Trailing Stop ATR Factor & Offset Multiplier: What they do: Calculate trailing stops based on the Average True Range (ATR), adjusting stop distances dynamically. Recommendation: Default settings are a good balance but can be fine-tuned based on asset volatility. Alerts & Notifications Alerts on Pivot Formation & JMA Crossover: What they do: Notify you when key events occur. Dynamic Power Threshold: What it does: Sets the sensitivity for dynamic alerts. 8. Static Stop Loss / Take Profit Static Stop Loss (%) & Take Profit (%): What they do: Allow you to set fixed stop loss or take profit levels. Recommendation: Leave them at 0 to disable if you prefer dynamic risk management, or set them if you have strict risk/reward preferences. Advanced Settings ATR Length: What it does: Determines the period for ATR calculation, impacting trailing stop sensitivity. Recommendation: Start with 14. Optimization Feedback & Enhanced Error Analysis Error Metric Length & Error Threshold (%): What they do: Calculate error metrics (like average error, skewness, and kurtosis) to help you fine-tune the JMA. Recommendation: Use the defaults and adjust if the error metrics seem off during backtesting. UI - User-Driven Tweaking & Table Customization Parameter Tweaker Panel, Debug/Performance Table Settings: What they do: Provide interactive tables that display real-time performance, error metrics, and allow you to monitor strategy parameters. Refresh Frequency Options (Table & Label Refresh Intervals): What they do: Set how often the tables and labels update. Recommendation: Start with an interval of 1 bar; increase it if your chart is too busy. Important for Beginners: Default Settings: All default values have been chosen for balanced performance across different markets. If you ever experience unexpected behavior, start by resetting the inputs to their defaults. Step-by-Step Adjustments: Experiment by changing one setting at a time while observing how the strategy’s signals and performance metrics change. This will help you understand the impact of each parameter. Resetting to Defaults: If things seem off or you’re not getting the expected results, you can always reset the indicator. Either reload the script or use the “Reset Inputs” option (if available) to revert to the default settings. Jump in, experiment, and enjoy the power of adaptive precision trading. This strategy is built to grow with your skills—have fun exploring and refining your trading edge! Happy trading!
Chiến lược Pine Script®
của UnknownUnicorn18653794
11
M & W Checklistindicator to Validate & Grade M & W Patterns. Indicator Inputs Table Color Palette • Position Valid : Positions the Valid Trade table on the chart. • Position Grade : Positions the Grade table on the chart, hover over the Column 1 Row 1 for a description of the bands. • Size: Text size for all tables. • Text Color : Sets text color. • Border Color : Sets the table border color for all tables. • Background Color : Sets table backgroud color for all tables. Valid Trade Table Checkboxes to indicate if the trade is valid. Fail is displayed if unchecked, Pass if checked. Grade Table • S/R Level 1: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 30% , this means that if there is a pivot point between the neckline and 30% of the TP level I weight it negatively. • S/R Level 2: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 50% , this means that if there is a pivot point between the neckline and 50% of the TP level 2 weight it negatively but less so than level 1. • S/R Level 3: distance between neckline and 1st resistance area in % of the total distance between neckline and take profit. This is not for road blocks but pivot points etc before the initial run up/down in price. I have this set to 70% , this means that if there is a pivot point between the neckline and 70% of the TP level 3 weight it negatively but less so than level 1 & level 2. • Checkboxes are self explanatory, they are binary options, all are weighted negatively if checked and are weighted positively if unchecked. Divergence values for weighting are neutral if unckecked & weighted positively if checked. • The select options are neutral weighting if set to neutral , if set to For its weighted positive and set to Against weighted negatively. Technical Specification of the Scoring and Band System Overview The scoring system is designed to evaluate a set of technical trade conditions, assigning weights to various criteria that influence the quality of the trade. The system calculates a total score based on both positive and negative conditions. Based on the final score, the system assigns a grade or band (A, B, or C) for positive scores, and a "Negative" label for negative scores. Scoring System The system calculates the score by evaluating a set of 12 conditions (gradeCondition1 to gradeCondition12). These conditions are manually input by the user via checkboxes or dropdowns in a technical indicator (written in Pine Script for TradingView). The score weights vary according to the relative importance of each condition. Condition Breakdown and Weighting: 1. Divergences (GradeCondition1 & GradeCondition2): ◦ 1H Divergence: +5 points if condition is true. ◦ 4H Divergence: +10 points if condition is true (stronger weight than 1H). 2. Support/Resistance at Neckline (GradeCondition3): ◦ Negative if present: -15 points if true (carries significant negative weight). 3. RB near Entry (GradeCondition4): ◦ Very Negative: -20 points if true (this is a critical negative condition). 4. RB can Manage (GradeCondition5): ◦ Slightly Negative: -5 points if true. 5. Institutional Value Zones (GradeCondition6 to GradeCondition8): ◦ For the trade: +5 points. ◦ Against the trade: -5 points. ◦ Neutral: 0 points. 6. S/R between Neckline & Targets (GradeCondition9 to GradeCondition11): ◦ Level 1: -10 points if true, +7 points if false. ◦ Level 2: -7 points if true, +7 points if false. ◦ Level 3: -5 points if true, +7 points if false. ◦ Use fib tool or Gann Box to measure any S/R levels setup according to your preferences. 7. News Timing (GradeCondition12): ◦ News within 3 hours: -20 points if true (strong negative factor). ◦ No upcoming news: +10 points if false. Scoring Calculation Formula: totalScore = score1 + score2 + score3 + score4 + score5 + score6 + score7 + score8 + score9 + score10 + score11 + score12 Where: • score1 to score12 represent the points derived from the conditions described above. Coloring and Visual Feedback: • Positive Scores: Displayed in green. • Negative Scores: Displayed in red. Band System The Band System classifies the total score into different grades, depending on the final value of totalScore. This classification provides an intuitive ranking for trades, helping users quickly assess trade quality. Band Classification: • Band A: If the totalScore is 41 or more. ◦ Represents a highly favorable trade setup. • Band B: If the totalScore is between 21 and 40. ◦ Represents a favorable trade setup with good potential. • Band C: If the totalScore is between 1 and 20. ◦ Represents a trade setup that is acceptable but may have risks. • Negative: If the totalScore is 0 or less. ◦ Represents a poor trade setup with significant risks or unfavorable conditions. Band Calculation Logic (in Pine Script): var string grade = "" if (totalScore >= 41) grade := "Band A" else if (totalScore >= 21) grade := "Band B" else if (totalScore >= 1) grade := "Band C" else grade := "Negative" Technical Key Points: • Highly Negative Conditions: ◦ The system penalizes certain conditions more heavily, especially those that suggest significant risks (e.g., News in less than 3 hours, RB near Entry). • Positive Trade Conditions: ◦ Divergences, Institutional Value Zones in favor of the trade, and lack of significant nearby resistance all contribute positively to the score. • Flexible System: ◦ The system can be adapted or fine-tuned by adjusting the weights of individual conditions according to trading preferences. Use Case Example: • If a trade has 1H and 4H Divergence, RB near Entry (negative), and no upcoming news: ◦ 1H Divergence: +5 points. ◦ 4H Divergence: +10 points. ◦ RB near Entry: -20 points. ◦ No news: +10 points. ◦ Total Score: 5 + 10 - 20 + 10 = 5 → Band C. This modular and flexible scoring system allows traders to systematically evaluate trades and quickly gauge the trade's potential based on technical indicators Summary: Maximum Score: 61 Minimum Score: -97 These are the bounds of the score range based on the current logic of the script.
Chỉ báo Pine Script®
của socrates1961
Supertrend Forecast - vanAmsenHello everyone! I am thrilled to present the "vanAmsen - Supertrend Forecast", an advanced tool that marries the simplicity of the Supertrend with comprehensive statistical insights. Before we dive into the functionalities of this indicator, it's essential to understand its foundation and theory. The Theory: What exactly is the Supertrend? The Supertrend, at its core, is a momentum oscillator. It's a tool that provides buy and sell signals based on the prevailing market trend. The underlying principle is straightforward: by analyzing average price data and volatility over a period, the Supertrend gives us a line that represents the trend direction. However, trading isn't just about identifying trends; it's about understanding their strength, potential profitability, and historical accuracy. This is where statistics come into play. By incorporating statistical analysis into the Supertrend, we can gain deeper insights into the market's behavior. Description: The "vanAmsen - Supertrend Forecast" isn't just another Supertrend indicator. It's a comprehensive tool designed to offer traders a holistic view of market trends, backed by robust statistical analysis. Key Features: - Supertrend Line: A visual representation of the current market direction. - Win Rate & Expected Return: Delve into the historical accuracy and profitability of the prevailing trend. - Average Percentage Change: Understand the average price fluctuation for both winning and losing trends. - Forecast Lines: Project future price movements based on historical data, providing a roadmap for potential scenarios. - Interactive Table: A concise table in the top right, offering a snapshot of all vital metrics at a glance. Usage: - The bullish Supertrend line adopts an Aqua hue, indicating potential upward momentum. - In contrast, the bearish line is painted in Orange, suggesting potential downtrends. - Customize your chart by toggling labels, tables, and lines according to preference. Recommendation: The "vanAmsen - Supertrend Forecast" is undoubtedly a powerful tool in a trader's arsenal. However, it's imperative to combine it with other technical analysis tools and sound risk management practices. It's always prudent to backtest strategies with historical data before embarking on live trading.
Chỉ báo Pine Script®
của vanAmsen
Time Series Model IndicatorHello, I am releasing this time series modelling indicator. Brief overview of the indicator's functionality: The Time Series Model indicator is a technical analysis tool that calculates and visualizes a linear regression line based on historical price data. It assesses the trend direction and provides an outer band around the regression line to indicate potential support and resistance levels. The indicator also detects outliers in the price data and calculates correlations between the time variable and the closing price. It offers various customization options such as input length, user-defined hours in advance, display settings for tables and fills, and the ability to show variable correlations. Overall, this indicator aims to help traders identify trends, potential reversals, and price extremes in a given time series. Specific Functions: Slope Calculations: The indicator calculates the slope and intercept of the regression line using the specified length of assessment (user defined). It also computes the residuals, standard error of the regression, and the upper and lower bounds of the standard error region. Additionally, it calculates multiple standard deviation bands around the regression line. The slope will change to green if the stock is in an uptrend and to red if the stock is in a downtrend. Outliers: This feature detects extreme positive and negative outliers based on the z-score calculated from the price data. It highlights the outliers with a red background color to red if this option is selected. Correlation to Time Assessments: This feature performs trend assessments based on the correlation between time and price data. It identifies uptrends, downtrends, falling trends, rising trends, etc. Outerband Plots: This feature plots the regression line, standard error bands, and multiple standard deviation bands around the regression line. It also fills the areas between these lines. Trend Assessment: This feature further assesses the trend based on the strength of the correlation. It identifies strong up or down trends, moderate trends, weak trends, no trend, etc. Linear Regression Time Data: This section retrieves price data (close, high, low, open) for the specified timeframe and stores them in arrays for a linear regression analysis. Define LinReg Variables: This section calculates linear regression lines and their upper and lower control limits for the close, low and high prices. It also calculates the correlation between close price and time. Manual assessments: This feature allows for the manual assessment of time series data. The user can input a look forward for hours in the future and get the predicted price range based on the current time relationship. See image below: Calculating model "fit": The indicator will display the amount of time the stock closes within and outside its respective bands to ascertain the degree of "fit" (see image below): Explanations: The outer cloud: The outer, tealish green cloud represents the regression line + 1.5 standard deviations from the regression line. The inner cloud: The inner, white coloured cloud represents the immediate time series range calculated through regression of the open, high and low price of the ticker. Correlations: The ability of the indicator to calculate correlations on both the smaller and larger timeframes are its strongest feature. You can see the formation of trends by tracking the correlation over the length of the time series model's assessment. You can also track the degree of change. The image below shows the correlation table: In this image, we can see that the stock is in a moderate downtrend manifested by a correlation of -0.73 (purple arrow). This downtrend is weakening as manifested by a positive change of 0.05 on the shorter timeframe. If we scroll down on the table and see the Close, High and Low, we can see that the larger trend over time is a downtrend and that this downtrend is actually strengthening. We know this by the negative change (negative change = significant inverse relationship to time is increasing. i.e. as time increases, the stock price decreases proportionately). So what does negative correlation to time mean? If a stock's price exhibits a negative correlation to time, it implies that there is a systematic relationship between the passage of time and the stock's price movement in the opposite direction. This finding could have several potential implications for traders and investors. Firstly, it suggests that the stock's price tends to decrease as time progresses, indicating a downward trend or bearish sentiment. This information might be useful for traders looking to capitalize on short-selling or hedging strategies. Secondly, it could indicate a potential opportunity to predict future price movements based on the timing of negative correlations. By understanding the relationship between time and price, investors may be able to make more informed decisions about when to buy or sell the stock. Lastly, a negative correlation to time may also suggest the influence of external factors or market conditions that systematically impact the stock's performance over time. Therefore, monitoring this correlation can provide insights into broader market dynamics and help investors better understand the stock's behavior. What about a positive correlation to time? If a stock's price demonstrates a positive correlation to time, it means that there is a consistent relationship between the passage of time and the stock's price movement in the same direction. This positive correlation to time can have significant implications for traders and investors. Firstly, it indicates a potential upward trend or bullish sentiment, suggesting that the stock's price tends to increase as time progresses. This information can be valuable for investors seeking long-term growth opportunities or looking to capitalize on upward price movements. Secondly, a positive correlation to time may provide insights into the stock's historical performance patterns and help identify potential buying or selling opportunities based on the timing of positive correlations. Additionally, understanding this correlation can aid in assessing the stock's overall trajectory and identifying potential market trends. It's important to note that positive correlation to time does not guarantee future performance, but it can offer valuable information to inform investment decisions. Because this indicator is pretty big, I have done an overview and tutorial video which I will link below: As always, please leave your comments and suggestions below. I thank you for taking the time to read and check out this indicator. Safe trades everyone and enjoy your weekend!
Chỉ báo Pine Script®
của Steversteves
5
1St Bar GAP+BkOut Screener v2 by RMFirst Bar Gap and subsequent conditions are used as one of the several strategies for Day traders. This script runs on first bar and checks if the stocks has an initial Gap (up or down), then checks for next bars to be inside the boundaries of the first candle you can customize this screener according to your requirement. There are a number of very clever people I have taken bits of code and ideas, thanks to you all :) Used part of this code as published by @PineCoders and Public Libraries. Also add some power query code to help you create the symbols input in the script Disclaimer: This is not a Financial advisory tool. For education purposes only. * Use at your own risk * Outline: gap up/ gap down on 1 min first candle -> good 2nd candle inside 1st candle -> good 3rd to nth candle to break out from first candle range -> good /alert/ Plot flag //M (Excel power query) code to load and format watchlist from txt file format //Input: , Output: let // replace and for the correspondign values in your computer Source = Csv.Document(File.Contents("C:\ \ "), ), #"Transposed Table" = Table.Transpose(Source), #"Sorted Rows" = Table.Sort(#"Transposed Table",{{"Column1", Order.Ascending}}), #"Added Index" = Table.AddIndexColumn(#"Sorted Rows", "Index", 1, 1, Int64.Type), #"Changed Type1" = Table.TransformColumnTypes(#"Added Index",{{"Index", type text}}), #"Inserted Merged Column1" = Table.AddColumn(#"Changed Type1", "Merged", each Text.Combine({"0", }), type text), #"Inserted First Characters" = Table.AddColumn(#"Inserted Merged Column1", "Two Characters", each Text.End( , 2), type text), #"Removed Columns" = Table.RemoveColumns(#"Inserted First Characters",{"Index", "Merged"}), #"Inserted Merged Column" = Table.AddColumn(#"Removed Columns", "Merged", each Text.Combine({"s", , " = input( '", , "' , type=input.string)"}), type text) in #"Inserted Merged Column" //--> once input string is created Copy&Paste in this code after // Symbols _ Use Power Query in Excel // end of M code to load watchlist from txt format
Chiến lược Pine Script®
của raul3429
4
FiniteStateMachine🟩 OVERVIEW A flexible framework for creating, testing and implementing a Finite State Machine (FSM) in your script. FSMs use rules to control how states change in response to events. This is the first Finite State Machine library on TradingView and it's quite a different way to think about your script's logic. Advantages of using this vs hardcoding all your logic include: • Explicit logic : You can see all rules easily side-by-side. • Validation : Tables show your rules and validation results right on the chart. • Dual approach : Simple matrix for straightforward transitions; map implementation for concurrent scenarios. You can combine them for complex needs. • Type safety : Shows how to use enums for robustness while maintaining string compatibility. • Real-world examples : Includes both conceptual (traffic lights) and practical (trading strategy) demonstrations. • Priority control : Explicit control over which rules take precedence when multiple conditions are met. • Wildcard system : Flexible pattern matching for states and events. The library seems complex, but it's not really. Your conditions, events, and their potential interactions are complex. The FSM makes them all explicit, which is some work. However, like all "good" pain in life, this is front-loaded, and *saves* pain later, in the form of unintended interactions and bugs that are very hard to find and fix. 🟩 SIMPLE FSM (MATRIX-BASED) The simple FSM uses a matrix to define transition rules with the structure: state > event > state. We look up the current state, check if the event in that row matches, and if it does, output the resulting state. Each row in the matrix defines one rule, and the first matching row, counting from the top down, is applied. A limitation of this method is that you can supply only ONE event. You can design layered rules using widlcards. Use an empty string "" or the special string "ANY" for any state or event wildcard. The matrix FSM is foruse where you have clear, sequential state transitions triggered by single events. Think traffic lights, or any logic where only one thing can happen at a time. The demo for this FSM is of traffic lights. 🟩 CONCURRENT FSM (MAP-BASED) The map FSM uses a more complex structure where each state is a key in the map, and its value is an array of event rules. Each rule maps a named condition to an output (event or next state). This FSM can handle multiple conditions simultaneously. Rules added first have higher priority. Adding more rules to existing states combines the entries in the map (if you use the supplied helper function) rather than overwriting them. This FSM is for more complex scenarios where multiple conditions can be true simultaneously, and you need to control which takes precedence. Like trading strategies, or any system with concurrent conditions. The demo for this FSM is a trading strategy. 🟩 HOW TO USE Pine Script libraries contain reusable code for importing into indicators. You do not need to copy any code out of here. Just import the library and call the function you want. For example, for version 1 of this library, import it like this: import SimpleCryptoLife/FiniteStateMachine/1 See the EXAMPLE USAGE sections within the library for examples of calling the functions. For more information on libraries and incorporating them into your scripts, see the Libraries section of the Pine Script User Manual. 🟩 TECHNICAL IMPLEMENTATION Both FSM implementations support wildcards using blank strings "" or the special string "ANY". Wildcards match in this priority order: • Exact state + exact event match • Exact state + empty event (event wildcard) • Empty state + exact event (state wildcard) • Empty state + empty event (full wildcard) When multiple rules match the same state + event combination, the FIRST rule encountered takes priority. In the matrix FSM, this means row order determines priority. In the map FSM, it's the order you add rules to each state. The library uses user-defined types for the map FSM: • o_eventRule : Maps a condition name to an output • o_eventRuleWrapper : Wraps an array of rules (since maps can't contain arrays directly) Everything uses strings for maximum library compatibility, though the examples show how to use enums for type safety by converting them to strings. Unlike normal maps where adding a duplicate key overwrites the value, this library's `m_addRuleToEventMap()` method *combines* rules, making it intuitive to build rule sets without breaking them. 🟩 VALIDATION & ERROR HANDLING The library includes comprehensive validation functions that catch common FSM design errors: Error detection: • Empty next states • Invalid states not in the states array • Duplicate rules • Conflicting transitions • Unreachable states (no entry/exit rules) Warning detection: • Redundant wildcards • Empty states/events (potential unintended wildcards) • Duplicate conditions within states You can display validation results in tables on the chart, with tooltips providing detailed explanations. The helper functions to display the tables are exported so you can call them from your own script. 🟩 PRACTICAL EXAMPLES The library includes four comprehensive demos: Traffic Light Demo (Simple FSM) : Uses the matrix FSM to cycle through traffic light states (red → red+amber → green → amber → red) with timer events. Includes pseudo-random "break" events and repair logic to demonstrate wildcards and priority handling. Trading Strategy Demo (Concurrent FSM) : Implements a realistic long-only trading strategy using BOTH FSM types: • Map FSM converts multiple technical conditions (EMA crosses, gaps, fractals, RSI) into prioritised events • Matrix FSM handles state transitions (idle → setup → entry → position → exit → re-entry) • Includes position management, stop losses, and re-entry logic Error Demonstrations : Both FSM types include error demos with intentionally malformed rules to showcase the validation system's capabilities. 🟩 BRING ON THE FUNCTIONS f_printFSMMatrix(_mat_rules, _a_states, _tablePosition)   Prints a table of states and rules to the specified position on the chart. Works only with the matrix-based FSM.   Parameters:      _mat_rules (matrix)      _a_states (array)      _tablePosition (simple string)   Returns: The table of states and rules. method m_loadMatrixRulesFromText(_mat_rules, _rulesText)   Loads rules into a rules matrix from a multiline string where each line is of the form "current state | event | next state" (ignores empty lines and trims whitespace). This is the most human-readable way to define rules because it's a visually aligned, table-like format.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _rulesText (string)   Returns: No explicit return. The matrix is modified as a side-effect. method m_addRuleToMatrix(_mat_rules, _currentState, _event, _nextState)   Adds a single rule to the rules matrix. This can also be quite readble if you use short variable names and careful spacing.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _currentState (string)      _event (string)      _nextState (string)   Returns: No explicit return. The matrix is modified as a side-effect. method m_validateRulesMatrix(_mat_rules, _a_states, _showTable, _tablePosition)   Validates a rules matrix and a states array to check that they are well formed. Works only with the matrix-based FSM. Checks: matrix has exactly 3 columns; no empty next states; all states defined in array; no duplicate states; no duplicate rules; all states have entry/exit rules; no conflicting transitions; no redundant wildcards. To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the rules and states are ready.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _a_states (array)      _showTable (bool)      _tablePosition (simple string)   Returns: `true` if the rules and states are valid; `false` if errors or warnings exist. method m_getStateFromMatrix(_mat_rules, _currentState, _event, _strictInput, _strictTransitions)   Returns the next state based on the current state and event, or `na` if no matching transition is found. Empty (not na) entries are treated as wildcards if `strictInput` is false. Priority: exact match > event wildcard > state wildcard > full wildcard.   Namespace types: matrix   Parameters:      _mat_rules (matrix)      _currentState (string)      _event (string)      _strictInput (bool)      _strictTransitions (bool)   Returns: The next state or `na`. method m_addRuleToEventMap(_map_eventRules, _state, _condName, _output)   Adds a single event rule to the event rules map. If the state key already exists, appends the new rule to the existing array (if different). If the state key doesn't exist, creates a new entry.   Namespace types: map   Parameters:      _map_eventRules (map)      _state (string)      _condName (string)      _output (string)   Returns: No explicit return. The map is modified as a side-effect. method m_addEventRulesToMapFromText(_map_eventRules, _configText)   Loads event rules from a multiline text string into a map structure. Format: "state | condName > output | condName > output | ..." . Pairs are ordered by priority. You can have multiple rules on the same line for one state. Supports wildcards: Use an empty string ("") or the special string "ANY" for state or condName to create wildcard rules. Examples: " | condName > output" (state wildcard), "state | > output" (condition wildcard), " | > output" (full wildcard). Splits lines by \n, extracts state as key, creates/appends to array with new o_eventRule(condName, output). Call once, e.g., on barstate.isfirst for best performance.   Namespace types: map   Parameters:      _map_eventRules (map)      _configText (string)   Returns: No explicit return. The map is modified as a side-effect. f_printFSMMap(_map_eventRules, _a_states, _tablePosition)   Prints a table of map-based event rules to the specified position on the chart.   Parameters:      _map_eventRules (map)      _a_states (array)      _tablePosition (simple string)   Returns: The table of map-based event rules. method m_validateEventRulesMap(_map_eventRules, _a_states, _a_validEvents, _showTable, _tablePosition)   Validates an event rules map to check that it's well formed. Checks: map is not empty; wrappers contain non-empty arrays; no duplicate condition names per state; no empty fields in o_eventRule objects; optionally validates outputs against matrix events. NOTE: Both "" and "ANY" are treated identically as wildcards for both states and conditions. To avoid slowing down the script unnecessarily, call this method once (perhaps using `barstate.isfirst`), when the map is ready.   Namespace types: map   Parameters:      _map_eventRules (map)      _a_states (array)      _a_validEvents (array)      _showTable (bool)      _tablePosition (simple string)   Returns: `true` if the event rules map is valid; `false` if errors or warnings exist. method m_getEventFromConditionsMap(_currentState, _a_activeConditions, _map_eventRules)   Returns a single event or state string based on the current state and active conditions. Uses a map of event rules where rules are pre-sorted by implicit priority via load order. Supports wildcards using empty string ("") or "ANY" for flexible rule matching. Priority: exact match > condition wildcard > state wildcard > full wildcard.   Namespace types: series string, simple string, input string, const string   Parameters:      _currentState (string)      _a_activeConditions (array)      _map_eventRules (map)   Returns: The output string (event or state) for the first matching condition, or na if no match found. o_eventRule   o_eventRule defines a condition-to-output mapping for the concurrent FSM.   Fields:      condName (series string) : The name of the condition to check.      output (series string) : The output (event or state) when the condition is true. o_eventRuleWrapper   o_eventRuleWrapper wraps an array of o_eventRule for use as map values (maps cannot contain collections directly).   Fields:      a_rules (array) : Array of o_eventRule objects for a specific state.
Thư viện Pine Script®
của SimpleCryptoLife
2
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges General Description The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting. Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms. ⸻ Key Features • Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data) • Support for contract types: USDT.P, USD.P, USDC.P, USD.PM • Automatic normalization of various OI data formats from different providers • Display modes: • OI candlestick chart (total aggregated OI) • OI Delta (change in OI per bar) • Full table with detailed data by exchange and contract type • Short summary table with totals in USD and base assets • Support for USD or COIN denomination • Convenient formatting for large numbers • Customizable colors ⸻ How to Use the Indicator 1. Select Exchanges In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster. 2. Choose Data Type • OI — aggregated open interest from selected exchanges. • OI delta — delta (change in OI compared to the previous bar). 3. Denomination • USD — values are converted into USD equivalents. • COIN — values are shown in the base asset (BTC, ETH, etc.). 4. Reading the Chart • OI candlesticks show the overall OI dynamics. • Delta histogram highlights how much OI has grown or decreased per bar. • Colors are fully customizable. 5. Tables • Enabled via the Show table option. • Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated. • Short Table → Displays only the total OI values in USD and the base asset. ⸻ Important Notes • For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation. str(d, n, s) => str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s format(_r) => d = str.tostring(math.round(_r)) str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d ⸻ Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
Chỉ báo Pine Script®
của NoveltyTrade
4
BTC(Sats Stacking) - CDC Action zone filterType: Indicator (Pine v6) • Category: Strategy Tools / DCA • Overlay: Yes Overview This indicator simulates fixed-amount Bitcoin DCA (dollar-cost averaging) and lets you apply a CDC Action Zone filter to only buy in specific market conditions. It plots EMA(12/26) lines with a shaded zone (green when fast > slow, red when slow > fast), shows buy markers on the chart when a DCA event actually executes, and displays a concise performance table. The simulation tracks real invested capital (sum of your buys), not hypothetical equity injections, and reports PnL vs invested capital. Key features DCA frequency: Everyday, Every week, or Every month CDC filter: Buy on all days, only when CDC is Green (trend-up above fast EMA), or only when Red (trend-down below fast EMA) Execution price: Choose to buy at bar close or next bar open Capital controls: Fixed DCA amount per event, optional max budget cap Currency support: Portfolio currency label plus optional FX conversion (by symbol or manual rate) Chart visuals: Buy markers on candles; EMA(12/26) lines with shaded “action zone” Metrics table: Invested capital, buys executed, BTC accumulated, average price per BTC (quote), equity (portfolio), PnL% vs invested, and CAGR How it works CDC state: Green = EMA(fast) > EMA(slow) and price ≥ EMA(fast) Red = EMA(fast) < EMA(slow) and price < EMA(fast) DCA trigger: Fires on new day/week/month boundaries (timeframe-agnostic). Buy execution: When a DCA event occurs and passes the CDC filter and budget check, the script spends the fixed amount and adds the corresponding BTC at the chosen execution price. Inputs (highlights) Simulation Symbol (blank = current chart), Buy at close/open, DCA amount, Max total invested DCA Schedule Everyday / Every week / Every month CDC Action Zone Filter mode (All / Green only / Red only), Price source, Fast/Slow EMA lengths (defaults 12/26) Currency / Conversion Portfolio currency label, Convert on/off, By symbol (e.g., OANDA:USDTHB) or Manual rate Backtest Range Optional start/end dates Style Show EMA lines and zone, colors and opacities, buy marker size and color Display Show qty/price labels on buys, show metrics table, number formatting Metrics Invested capital: Sum of all DCA spends in your portfolio currency Equity (portfolio): BTC holdings marked to market and converted back if FX is enabled PnL % vs invested: (Equity / Invested - 1) × 100 CAGR: Based on elapsed time from first in-range bar to the latest bar Average price per BTC (quote): Spend in quote currency divided by BTC accumulated Notes This is an indicator, not a broker-connected strategy. It simulates buys and displays results without placing orders. For more realistic fills, use Buy at next bar open. If your portfolio currency differs from the symbol’s quote currency, enable Convert and supply a conversion symbol or manual rate. EMA shading is purely visual; the filter logic uses the same EMA definitions. Attribution & License Inspired by the DCA idea and community simulations; CDC filtering implemented with standard EMA(12/26) logic. License: MPL-2.0 (see code header). Author: MiSuNoJo Disclaimer This tool is for research and education only and is not financial advice. Past performance does not guarantee future results. Use at your own risk.
Chỉ báo Pine Script®
của MiSuNoJo
200 EMA w/ Ticker Memory200 EMA w/ Ticker Memory — Multi-Symbol & Multi-Timeframe EMA Tracker with Alerts Overview The 200 EMA w/ Ticker Memory indicator allows you to monitor the 200-period Exponential Moving Average (EMA) across multiple symbols and timeframes. Designed for traders managing multiple tickers, it provides customizable timeframe inputs per symbol and instant alerts on price touches of the 200 EMA. Key Features Multi-symbol support: Configure up to 20 different symbols, each with its own timeframe setting. Flexible timeframe input: Assign specific timeframes per symbol or use a default timeframe fallback. Accurate 200 EMA calculation: Uses request.security to fetch 200 EMA from the symbol-specific timeframe. Visual EMA plots: Displays both the EMA on the selected timeframe and the EMA on the current chart timeframe for comparison. Touch alerts: Configurable alerts when price “touches” the 200 EMA within a user-defined sensitivity percentage. Ticker memory: Remembers your configured symbols and displays them in an on-chart table. Compact info table: Displays current symbol status, alert settings, and timeframe in a clean, transparent table overlay. How to Use Configure Symbols and Timeframes: Input your desired symbols (up to 20) and their respective timeframes under the “Symbol Settings” groups in the indicator’s settings pane. Set Default Timeframe: Choose a default timeframe to be used when no specific timeframe is assigned for a symbol. Adjust Alert Settings: Enable or disable alerts and set the touch sensitivity (% distance from EMA to trigger alerts). Alerts Alerts trigger once per bar when the price touches the 200 EMA within the defined sensitivity threshold. Alert messages include: Symbol / Current price / EMA value / EMA timeframe used / Chart timeframe / Timestamp Customization 200 EMA Color: Change the line color for better visibility. Touch Sensitivity: Fine-tune how close price must be to the EMA to count as a touch (default 0.1%). Enable Touch Alerts: Turn on/off alert notifications easily. For: - Swing traders monitoring multiple stocks or assets. - Day traders watching key EMA levels on different timeframes. - Analysts requiring a quick visual and alert system for 200 EMA touches. - Portfolio managers tracking key technical levels across various securities. Limitations Supports up to 20 configured symbols (can be extended manually if needed). Works best on charts with reasonable bar frequency due to request.security usage. Alert frequency is limited to once per bar for clarity. Disclaimer This indicator is provided “as-is” for educational and informational purposes only. It does not guarantee trading success or financial gain.
Chỉ báo Pine Script®
của BaidehnXBT
GLD GC Price Converter Its primary function is to fetch the prices of the Gold ETF (ticker: GLD) and Gold Futures (ticker: GC1!) and then project significant price levels from one or both of these assets onto the chart of whatever instrument you are currently viewing. Core Functionality & Features Dual Asset Tracking: The script simultaneously tracks the prices of GLD and Gold Futures (GC). Dynamic Price Level Projection: The script's main feature is its ability to calculate and draw horizontal price levels. It determines a "base price" (e.g., the nearest $100 level for GC) and then draws lines at specified increments above and below it. The key is that these levels are projected onto the current chart's price scale. On-Chart Information Display: Price Table: A customizable table can be displayed in any corner of the chart, showing the current prices of GLD and GC. It can also show the daily percentage change for GC, colored green for positive changes and red for negative ones. Last Price Label: It can show a label next to the most recent price bar that displays the current prices of both GLD and GC. Extensive Customization: The user has significant control over the indicator's appearance and behavior through the settings panel. This includes: Toggling the display for GLD and GC levels independently. Adjusting the multiplier for the price levels (e.g., show levels every $100 or $50 for GC). Changing the colors, line styles (solid, dashed, dotted), and horizontal offset for the labels. Defining the number of price levels to display. Controlling the text size for labels and the table. Choosing whether the script updates on every tick or only once per candle close for better performance.
Chỉ báo Pine Script®
của bullbreakers888
3
ADR, ATR & VOL OverlayThis is a combined version of 2 of my other indicators: ADR / ATR Overlay VOL / AVG Overlay This indicator will display the following as an overlay on your chart: ADR % of ADR ADR % of Price ATR % of ATR ATR % of Price Custom Session Volume Average For Selected Session Volume Percentage Comparison Description: ADR : Average Day Range % of ADR : Percentage that the current price move has covered its average. ADR % of Price : The percentage move implied by the average range. ATR : Average True Range % of ATR : Percentage that the current price move has covered its average. ATR % of Price : The percentage move implied by the average true range. Custom Session Volume : User chosen time frame to monitor volume Average For Selected Session : Average for the custom session volume Volume Percentage Comparison : Current session compared to the average (calculated at session close) Options: ADR/ATR: Time Frame Length Smoothing Volume: Set Custom Time Frame For Calculations Set Custom Time Frame For Average Comparison Set Custom Time Zone Table: Enable / Disable Each Value Change Text Color Change Background Color Change Table location Add/Remove extra row for placement ADR / ATR Example: The ADR and ATR can be used to provide information about average price moves to help set targets, stop losses, entries and exits based on the potential average moves. Example: If the "% of ADR" is reading 100%, then 100% of the asset's average price range has been covered, suggesting that an additional move beyond the range has a lower probability. Example: "ADR % of Price" provides potential price movement in percentage which can be used to asses R/R for asset. Example: ADR (D) reading is 100% at market close but ATR (D) is at 70% at close. This suggests that there is a potential (coverage) move of 30% in Pre/Post market as suggested by averages. Custom Volume Session Example: Set indicator to 30 period average. Set custom time frame to 9:30am to 10:30am Eastern/New York. When the time frame for the calculation is closed, the indicator will provide a comparison of the current days volume compared to the average of 30 previous days for that same time frame and display it as a percentage in the table. In this example you could compare how the first hour of the trading day compares to the previous 30 day's average, aiding in evaluating the potential volume for the remainder of the day. Notes: Times must be entered in 24 hour format. (1pm = 13:00 etc.) Volume indicator is for Intra-day time frames, not > Day. How I use these values: I use these calculations to determine if a ticker symbol has the necessary range to achieve target gains, to determine if the price oscillation is within "normal" ranges to determine if the trading day will be choppy, and to determine placement of stops and targets within average ranges in combination with support, resistance and retracement levels.
Chỉ báo Pine Script®
của abbadon9
Order Block Matrix [Alpha Extract]The Order Block Matrix indicator identifies and visualizes key supply and demand zones on your chart, helping traders recognize potential reversal points and high-probability trading setups. This tool helps traders: Visualize key order blocks with volume profile histograms showing liquidity distribution. Identify high-volume price levels where institutional activity occurs. rank historical order blocks and analyze their strength based on volume. Receive alerts for potential trading opportunities based on price-block interactions. 🔶 CALCULATION The indicator processes chart data to identify and analyze order blocks: Order Block Detection Inputs: Price action patterns (consolidation areas followed by breakouts). Volume data from current and lower timeframes. User-defined lookback periods and thresholds. Detection Logic: Identifies consolidation areas using a dynamic range comparison. Confirms breakout patterns with percentage threshold validation. Maps volume distribution across price levels within each order block. 🔶Volume Analysis Volume Profiling: Divides each order block into configurable grid segments. Maps volume distribution across price segments within blocks. Highlights zones with highest volume concentration. Strength Assessment: Calculates total block volume and relative strength metrics. Compares block volume to historical averages. Determines probability of reversal based on volume patterns. isConsolidation(len) => high_range = ta.highest(high, len) - ta.lowest(high, len) low_range = ta.highest(low, len) - ta.lowest(low, len) avg_range = (high_range + low_range) / 2 current_range = high - low current_range <= avg_range * (1 + obThreshold) 🔶 DETAILS Visual Features Volume Profile Histograms: Color-coded bars showing volume concentration within order blocks. Gradient coloring based on relative volume (high volume = brighter colors). Bull blocks (green/teal) and bear blocks (red) with varying opacity. Block Visualization: Dynamic box sizing based on volume concentration. Optional block borders and background fills. Volume labels showing total block volume. Screener Table: Real-time analysis of order block metrics. Shows block direction, proximity, retest count, and volume metrics. Color-coded for quick reference. Interpretation High Volume Areas: Zones with institutional interest and potential reversal points. Block Direction: Bullish blocks typically support price, bearish blocks typically resist price. Retests: Multiple tests of an order block may strengthen or weaken its influence. Block Age: Newer blocks often have stronger influence than older ones. Volume Concentration: Brightest segments within blocks represent the highest volume areas. 🔶 EXAMPLES The indicator helps identify key trading opportunities: Bullish Order Blocks Support Zones: Identify strong support levels where price is likely to bounce. Breakout Confirmation: Validate breakouts with volume analysis to avoid false moves. Retest Strategies: Enter trades when price retests a bullish order block with high volume. Bearish Order Blocks Resistance Zones: Identify strong resistance levels where price is likely to reverse. Distribution Areas: Detect zones where smart money is distributing to retail. Short Opportunities: Find optimal short entry points at high-volume bearish blocks. Combined Strategies Order Block Stacking: Multiple aligned blocks create stronger support/resistance zones. Block Mitigation: When price breaks through a block, it often indicates a strong trend continuation. Volume Profile Applications: Higher volume segments provide more precise entry and exit points. 🔶 SETTINGS Customization Options Order Block Detection: Consolidation Lookback: Adjust the period for consolidation detection. Breakout Threshold: Set minimum percentage for breakout confirmation. Historical Lookback Limit: Control how far back to scan for historical order blocks. Maximum Order Blocks: Limit the number of visible blocks on the chart. Visual Style: Grid Segments: Adjust the number of volume profile segments. Extend Blocks to Right: Enable/disable extending blocks to current price. Show Block Borders: Toggle border visibility. Border Width: Adjust thickness of block borders. Show Volume Text: Enable/disable volume labels. Volume Text Position: Control placement of volume labels. Color Settings: Bullish High/Low Volume Colors: Customize appearance of bullish blocks. Bearish High/Low Volume Colors: Customize appearance of bearish blocks. Border Color: Set color for block outlines. Background Fill: Adjust color and transparency of block backgrounds. Volume Text Color: Customize label appearance. Screener Table: Show Screener Table: Toggle table visibility. Table Position: Select positioning on the chart. Table Size: Adjust display size. The Order Block Matrix indicator provides traders with powerful insights into market structure, helping to identify key levels where smart money is active and where high-probability trading opportunities may exist.
Chỉ báo Pine Script®
của AlphaExtract
4
Revenue & Net IncomeRevenue & Net Income Indicator This indicator provides a clear visual representation of a company's revenue and net income, with the flexibility to switch between Trailing Twelve Months (TTM) and Quarterly data. Values are automatically converted into billions and displayed in both an area chart and a dynamic table. Features: TTM & Quarterly Data: Easily toggle between financial periods. Intuitive Visuals: Semi-transparent area charts make trends easy to spot. Smart Number Formatting: Revenue below 1B is shown with two decimals (e.g., "0.85B"), while larger values use one decimal (e.g., "1.2B"). Customizable Table: Displays the most recent revenue and net income figures, with adjustable position and text size. Light Mode: Switch table text to black with a white header for better readability on light backgrounds. This indicator is freely available and open-source on TradingView for all. It is designed to help traders enhance their market analysis and strategic decision-making.
Chỉ báo Pine Script®
của ChartingCycles
DataDoodles SD + ProbabilityDataDoodles SD + Probability Overview: The “DataDoodles SD + Probability” indicator is designed to provide traders with a statistical edge by leveraging standard deviation and probability metrics. This advanced tool calculates the annualized standard deviation, Z-score, and probability of price movements, offering insights into potential market direction with customizable alert thresholds. Key Features: 1. Annualized Standard Deviation (Volatility) Calculation: • Uses a user-defined period to compute the rolling standard deviation of daily returns. • Annualizes the volatility, giving a clear picture of expected price fluctuations. 2. Probability of Price Movement: • Calculates the probability of price moving up or down using a corrected Z-Score. • Displays the probability percentage for both upward and downward movements. 3. Dynamic Alerts: • Configurable alerts for upward and downward price movement probabilities. • Receive alerts when the probability exceeds user-defined thresholds. 4. Projections and Visuals: • Plots projected high and low price levels based on annualized volatility. • Displays Z-Score and probability metrics on the chart for quick reference. 5. Comprehensive Data Table: • Bottom-center table displays key metrics: • Daily Return • Standard Deviation (SD) • Annualized Standard Deviation (Yearly SD) User Inputs: • Annualization Period: Set the time frame for volatility annualization (Default: 252 days). • SD Period: Define the rolling window for calculating standard deviation (Default: 252 days). • Alert Probability Up/Down: Customize the probability thresholds for alerts (Default: 90%). How It Works: • Data Request and Calculation: • Uses daily close prices to ensure consistent timeframe calculations. • Calculates daily returns and annualizes the volatility using the square root of the time frame. • Probability Computation: • Employs a normal distribution CDF approximation to compute the probability of upward and downward price movements. • Adjusts probabilities based on Z-Score to ensure accuracy. • High and Low Projections: • Utilizes the annualized volatility to estimate high and low price projections for the year. • Visual Indicators and Alerts: • Plots projected high (green) and low (red) levels on the chart. • Displays Z-Score, probability percentages, and dynamically updates a statistics table. Use Cases: • Trend Analysis: Identify high-probability market movements using the probability metrics. • Volatility Insights: Understand annualized volatility to gauge market risk and potential price ranges. • Strategic Trading Decisions: Set alerts for high-probability scenarios to optimize entry and exit points. Why Use “DataDoodles SD + Probability”? This indicator provides a powerful combination of statistical analysis and visual representation. It empowers traders with: • Quantitative Edge: By leveraging probability metrics and standard deviation, users can make informed trading decisions. • Risk Management: Annualized volatility projections help in setting realistic stop-loss and take-profit levels. • Actionable Alerts: Customizable probability alerts ensure users are notified of potential market moves, allowing proactive trading strategies. Recommended Settings: • Annualization Period: 252 (Ideal for daily data representing a trading year) • SD Period: 252 (One trading year for consistent volatility calculations) • Alert Probability: Set to 90% for conservative signals or lower for more frequent alerts. Final Thoughts: The “DataDoodles SD + Probability” indicator is a robust tool for traders looking to integrate statistical analysis into their trading strategies. It combines volatility measurement, probability calculations, and dynamic alerts to provide a comprehensive market overview. Whether you’re a day trader or a long-term investor, this indicator can enhance your market insight and improve decision-making accuracy. Disclaimer: This indicator is a technical analysis tool designed for educational purposes. Past performance is not indicative of future results. Traders are encouraged to perform their own analysis and manage risk accordingly.
Chỉ báo Pine Script®
của armthanathat
1
Advanced Trend and Volatility Indicator with Alerts by ZaimonThis script presents a comprehensive analytical tool that integrates multiple technical indicators to provide a holistic view of market trends and volatility. By uniquely combining Moving Averages (MA), Relative Strength Index (RSI), Stochastic Oscillator, Bollinger Bands, and Average True Range (ATR), it offers nuanced insights into price movements and helps identify potential trading opportunities. --- ### **Key Features and Integration:** 1. **Moving Averages (MA20 & MA50):** - **Trend Identification:** - **Methodology:** Calculates two Simple Moving Averages—MA20 (short-term) and MA50 (long-term). - **Bullish Trend:** When MA20 crosses above MA50, indicating upward momentum. - **Bearish Trend:** When MA20 crosses below MA50, signaling downward momentum. - **Golden Cross & Death Cross Alerts:** - **Golden Cross:** MA20 crossing above MA50 generates a bullish alert and visual symbol. - **Death Cross:** MA20 crossing below MA50 triggers a bearish alert and visual symbol. - **Integration:** - Serves as the foundational trend indicator, influencing interpretations of other indicators within the script. 2. **Relative Strength Index (RSI):** - **Momentum Measurement:** - **Methodology:** Calculates RSI to assess the speed and change of price movements over a 14-period length. - **Overbought/Oversold Conditions:** Customizable thresholds set at 70 (overbought) and 30 (oversold). - **Alerts:** - Generates alerts when RSI crosses above or below the specified thresholds. - **Integration:** - Confirms trend strength identified by MAs. - Overbought/Oversold signals can precede potential trend reversals, especially when aligned with MA crossovers. 3. **Stochastic Oscillator:** - **Momentum and Reversal Signals:** - **Methodology:** Uses %K and %D lines to evaluate price momentum relative to high-low range over recent periods. - **Bullish Signal:** %K crossing above %D in oversold territory (below 20). - **Bearish Signal:** %K crossing below %D in overbought territory (above 80). - **Alerts:** - Provides alerts on bullish and bearish crossovers in extreme regions. - **Integration:** - Enhances RSI signals by providing additional momentum confirmation. - When both RSI and Stochastic indicate overbought/oversold conditions, it strengthens the likelihood of a reversal. 4. **Bollinger Bands:** - **Volatility Visualization:** - **Methodology:** Plots upper and lower bands based on standard deviations from a moving average (BB Basis). - **Dynamic Support/Resistance:** Prices touching or exceeding the bands may indicate potential reversals. - **Integration:** - Works with RSI and Stochastic to identify overextended price movements. - Helps in assessing volatility alongside trend and momentum indicators. 5. **Average True Range (ATR):** - **Volatility Assessment:** - **Methodology:** Calculates ATR over a 14-period length to measure market volatility. - **ATR Bands:** Plots upper and lower bands relative to the current price using an ATR multiplier. - **Integration:** - Assists in setting stop-loss and take-profit levels based on current volatility. - Complements Bollinger Bands for a comprehensive volatility analysis. 6. **Information Table:** - **Real-Time Data Display:** - Shows current values of MA20, MA50, RSI, Stochastic %K and %D, BB Basis, ATR, and Trend Status. - **Trend Status Indicator:** - Displays "Bullish," "Bearish," or "Sideways" based on MA conditions. - **Integration:** - Provides a consolidated view for quick decision-making without analyzing individual indicators separately. 7. **Periodic Labels:** - **Enhanced Visibility:** - Adds labels every 50 bars showing RSI and Stochastic values. - **Integration:** - Helps track momentum changes over time and spot longer-term patterns. --- ### **How the Components Work Together:** - **Synergistic Analysis:** - **Trend Confirmation:** MA crossovers establish the primary trend, while RSI and Stochastic confirm momentum within that trend. - **Volatility Context:** Bollinger Bands and ATR provide context on market volatility, refining entry and exit points suggested by trend and momentum indicators. - **Signal Strength:** Concurrent signals from multiple indicators increase confidence in trading decisions. --- ### **Usage Guidelines:** 1. **Trend Analysis:** - **Identify Trend Direction:** - Observe MA20 and MA50 crossovers. - Refer to the Trend Status in the information table. - **Confirm with Momentum Indicators:** - Ensure RSI and Stochastic support the identified trend. 2. **Entry and Exit Points:** - **Overbought/Oversold Conditions:** - Look for RSI and Stochastic reaching extreme levels. - Consider entering positions when oversold in a bullish trend or overbought in a bearish trend. - **Bollinger Band Interactions:** - Use price interactions with Bollinger Bands to identify potential reversal zones. 3. **Risk Management:** - **ATR-Based Levels:** - Set stop-loss and take-profit levels using ATR bands to account for current volatility. - **Adjusting to Volatility:** - Modify position sizes and targets based on Bollinger Band width and ATR values. 4. **Alerts Setup:** - **Customize Alert Thresholds:** - Configure alerts for MA crossovers, RSI levels, and Stochastic crossovers according to your trading strategy. - **Stay Informed:** - Use alerts to monitor key events without constant chart observation. --- ### **Customization:** - **Flexible Parameters:** - All indicator lengths, thresholds, and settings are adjustable to suit different trading styles and timeframes. - **Adjustable Visuals:** - Modify plot colors, line styles, and label positions to enhance chart readability. --- ### **Originality and Value Addition:** This script differentiates itself by: - **Integrated Approach:** - Seamlessly combining multiple indicators to provide a more comprehensive analysis than using each indicator separately. - **Enhanced Visualization:** - Utilizing plots, fills, labels, and an information table to present data intuitively. - **User-Friendly Features:** - Pre-configured alerts and real-time data displays reduce the need for manual monitoring. By explaining how each component interacts and contributes to the overall analysis, the script adds substantial value to traders seeking a multi-faceted tool for market analysis. --- ### **Additional Notes:** - **Learning Resource:** - The script is well-commented, serving as an educational tool for those learning Pine Script and technical analysis integration. - **Further Enhancements:** - Opportunities exist to incorporate additional indicators like MACD or ADX, and to develop advanced alert logic, such as RSI or Stochastic divergences. --- ### **Disclaimer:** - **Educational Purpose Only:** - This script is provided for informational purposes and should not be construed as financial advice. - **Risk Acknowledgment:** - Trading involves significant risk; past performance is not indicative of future results. - **Due Diligence:** - Users should conduct their own analysis and consider consulting a financial professional before making trading decisions. --- By providing detailed explanations of the methodologies and the synergistic use of multiple indicators, this script aligns with TradingView's guidelines for originality and usefulness. It offers traders a unique tool that enhances market analysis through the thoughtful integration of technical indicators.
Chỉ báo Pine Script®
của Zaimon
2
StockInfo ManualScript Description: The StockInfo Manual is designed to display detailed stock information directly on the chart for the selected symbol. It processes user-provided input data, including stock symbols Industries Relative Strength (RS) values Band information Key Features: 1. Symbol-Specific Data Display: Displays information only for the current chart symbol. 2. Customizable Table: Adjust the table's position, text size, colors, and headers to match your preferences. 3. Low RS/Band Conditions: Highlights critical metrics (RS < 50 or Band < 6) with a red background for quick visual cues. 4. Toggle Information: Choose to show or hide RS, Band, and Industry columns based on your needs. How to Use the Script: 1. Use any platform (ex: chartsmaze) to get Industry,RS and Band information of any Stock. Prepare the data as separate column of excel 2. Configure Inputs: - Stock Symbols (`Stock`): Enter a comma-separated list of stock symbols (e.g., NSE:ABDL, NSE:ABFRL, NSE:ABREL, NSE:ABSLAMC, NSE:ACC, NSE:ACE, - Industries (`Industry`): Provide a comma-separated list of industries for the stocks (e.g., 103-Brewerie, 109-Retail-D, 92-Paper & , 19-Asset Ma, 62-Cement, 58-Industri, - Relative Strength (`RS`): Input RS values for each stock (e.g., 83, 52, 51, 81, 23, 59, - Band Information (`Band`): Specify Band values for each stock. Use "No Band" if 10, No Band, 20, 20, No Band, 20, 3. Customize the Table: -Display Options: Toggle the visibility of `RS`, `Band`, and `Industry` using the input checkboxes. -Position and Appearance: Choose the table's position on the chart (e.g., top-right, bottom-center). Customize text size, background colors, header display, and other visual elements. 4. Interpret the Table: - The table will dynamically display information for the current chart symbol only. - If the `RS` is below 50 or the Band is below 6, the corresponding row is highlighted with a red background for immediate attention. One need to enter details at least weekly for a correct result
Chỉ báo Pine Script®
của Saurabh_Trade007
OBV Divergence Indicator [TradingFinder] On-Balance Vol Reversal🔵 Introduction The On-Balance Volume (OBV) indicator, introduced by Joe Granville in 1963, is a powerful technical analysis tool used to measure buying and selling pressure based on trading volume and price. By aggregating trading volume—adding it on positive days and subtracting it on negative days—OBV creates a cumulative line that reflects market volume pressure, making it valuable for confirming trends, identifying entry and exit points, and forecasting potential price movements. Divergences between price and OBV often provide significant signals. A bearish divergence occurs when the price forms higher highs while the OBV line forms lower highs. This discrepancy indicates that upward momentum is weakening, increasing the likelihood of a downward trend. In contrast, a bullish divergence happens when the price makes lower lows, but the OBV line forms higher lows. This suggests increasing buying pressure and the potential for an upward trend reversal. For instance, if the price is rising but the OBV trendline is falling, it may signal a bearish divergence, warning of a possible price decline. Conversely, if the price is falling while the OBV line is rising, this could signal a bullish divergence, indicating a possible price recovery. These signals are particularly useful for identifying market turning points. OBV often acts as a leading indicator, moving ahead of price changes. For example, a rising OBV alongside stable or declining prices can signal an impending upward breakout. Conversely, a declining OBV with rising prices may indicate that the current uptrend is losing strength. Traders using this strategy often consider entering positions at breakout levels while setting stop losses near recent swing highs or lows to manage risk effectively. This integration highlights how OBV divergences can provide actionable insights for predicting price movements and managing trades efficiently. Bullish Divergence : Bearish Divergence : 🔵 How to Use The OBV indicator, as a cumulative tool, assists analysts in comparing volume and price changes to identify new trends and key levels for entering or exiting trades. Beyond confirming existing trends, it is particularly effective in analyzing positive and negative divergences between price and volume, providing valuable signals for trading decisions. 🟣 Bullish Divergence A bullish divergence occurs when the price continues its downward or stable trend, but the OBV line starts rising, forming a higher low compared to its previous low. This suggests increasing volume on up days relative to down days and often signals a reversal to the upside. For instance, if an asset's price stabilizes near a support level but the OBV line shows an upward trend, this divergence could present an opportunity to enter a long position. 🟣 Bearish Divergence A bearish divergence occurs when the price forms higher highs, but the OBV line declines, creating lower highs compared to previous peaks. This indicates decreasing volume on up days relative to down days and often acts as a warning for a reversal to the downside. For example, if an asset’s price approaches a resistance level while OBV starts declining, this divergence may signal the beginning of a downtrend and could indicate a good time to exit long trades or enter short positions. 🔵 Setting Period : The "Period" setting allows you to define the number of bars or intervals for "Periodic" and "EMA" modes. A shorter period captures more short-term movements, while a longer period smooths out the fluctuations and provides a broader view of market trends. You can enable or disable labels to highlight key levels or divergences and tables to show numerical details like values and divergence types. These options allow for a customized chart display. 🔵 Table The following table breaks down the main features of the oscillator. It covers four critical categories: Exist, Consecutive, Divergence Quality, and Change Phase Indicator. Exist : If divergence is detected, a "+" will appear in this row. Consecutive: Shows the number of consecutive divergences that have formed in a short period. Divergence Quality : Evaluates the quality of the divergence based on the number of occurrences. One is labeled "Normal," two are "Good," and three or more are considered "Strong." Change Phase Indicator : If a phase change is detected between two oscillation peaks, this is marked in the table. 🔵 Conclusion The OBV (On Balance Volume) indicator is a simple yet effective tool in technical analysis that combines volume and price changes to provide a comprehensive view of market buying and selling pressure. By identifying positive and negative divergences, OBV enables analysts to detect early signs of trend reversals and refine their trading strategies. Divergences in OBV often precede price changes, making it a leading indicator for predicting market movements. Using OBV alongside other technical tools can enhance decision-making accuracy and help traders identify better entry and exit points. However, it is essential to consider the limitations of OBV, such as the potential for signal errors and the impact of sudden news events. Ultimately, OBV serves as a complementary tool in technical analysis, aiding in trend identification, signal confirmation, and risk management. A thoughtful application of this indicator, in combination with other analytical tools, can create valuable opportunities for profiting in financial markets.
Chỉ báo Pine Script®
của TFlab
20
Weekly H/L DOTWThe Weekly High/Low Day Breakdown indicator provides a detailed statistical analysis of the days of the week (Monday to Sunday) on which weekly highs and lows occur for a given timeframe. It helps traders identify recurring patterns, correlations, and tendencies in price behavior across different days of the week. This can assist in planning trading strategies by leveraging day-specific patterns. The indicator visually displays the statistical distribution of weekly highs and lows in an easy-to-read tabular format on your chart. Users can customize how the data is displayed, including whether the table is horizontal or vertical, the size of the text, and the position of the table on the chart. Key Features: Weekly Highs and Lows Identification: Tracks the highest and lowest price of each trading week. Records the day of the week on which these events occur. Customizable Table Layout: Option to display the table horizontally or vertically. Text size can be adjusted (Small, Normal, or Large). Table position is customizable (top-right, top-left, bottom-right, or bottom-left of the chart). Flexible Value Representation: Allows the display of values as percentages or as occurrences. Default setting is occurrences, but users can toggle to percentages as needed. Day-Specific Display: Option to hide Saturday or Sunday if these days are not relevant to your trading strategy. Visible Date Range: Users can define a start and end date for the analysis, focusing the results on a specific period of interest. User-Friendly Interface: The table dynamically updates based on the selected timeframe and visibility of the chart, ensuring the displayed data is always relevant to the current context. Adaptable to Custom Needs: Includes all-day names from Monday to Sunday, but allows for specific days to be excluded based on the user’s preferences. Indicator Logic: Data Collection: The indicator collects daily high, low, day of the week, and time data from the selected ticker using the request.security() function with a daily timeframe ('D'). Weekly Tracking: Tracks the start and end times of each week. During each week, it monitors the highest and lowest prices and the days they occurred. Weekly Closure: When a week ends (detected by Sunday’s daily candle), the indicator: Updates the statistics for the respective days of the week where the weekly high and low occurred. Resets tracking variables for the next week. Visible Range Filter: Only processes data for weeks that fall within the visible range of the chart, ensuring the table reflects only the visible portion of the chart. Statistical Calculations: Counts the number of weekly highs and lows for each day. Calculates percentages relative to the total number of weeks in the visible range. Dynamic Table Display: Depending on user preferences, displays the data either horizontally or vertically. Formats the table with proper alignment, colors, and text sizes for easy readability. Custom Value Representation: If set to "percentages," displays the percentage of weeks a high/low occurred on each day. If set to "occurrences," displays the raw count of weekly highs/lows for each day. Input Parameters: High Text Color: Color for the text in the "Weekly High" row or column. Low Text Color: Color for the text in the "Weekly Low" row or column. High Background Color: Background color for the "Weekly High" row or column. Low Background Color: Background color for the "Weekly Low" row or column. Table Background Color: General background color for the table. Hide Saturday: Option to exclude Saturday from the analysis and table. Hide Sunday: Option to exclude Sunday from the analysis and table. Values Format: Dropdown menu to select "percentages" or "occurrences." Default value: "occurrences." Table Position: Dropdown menu to select the table position on the chart: "top_right," "top_left," "bottom_right," "bottom_left." Default value: "top_right." Text Size: Dropdown menu to select text size: "Small," "Normal," "Large." Default value: "Normal." Vertical Table Format: Checkbox to toggle the table layout: Checked: Table displays days vertically, with Monday at the top. Unchecked: Table displays days horizontally. Start Date: Allows users to specify the starting date for the analysis. End Date: Allows users to specify the ending date for the analysis. Use Cases: Day-Specific Pattern Recognition: Identify if specific days, such as Monday or Friday, are more likely to form weekly highs or lows. Seasonal Analysis: Use the start and end date filters to analyze patterns during specific trading seasons. Strategy Development: Plan day-based entry and exit strategies by identifying recurring patterns in weekly highs/lows. Historical Review: Study historical data to understand how market behavior has changed over time. TradingView TOS Compliance Notes: Originality: This script is uniquely designed to provide day-based statistics for weekly highs and lows, which is not a common feature in other publicly available indicators. Usefulness: Offers practical insights for traders interested in understanding day-specific price behavior. Detailed Description: Fully explains the purpose, features, logic, input settings, and use cases of the indicator. Includes clear and concise details on how each input works. Clear Input Descriptions: All input parameters are clearly named and explained in the script and this description. No Redundant Functionality: Focused specifically on tracking weekly highs and lows, ensuring the indicator serves a distinct purpose without unnecessary features.
Chỉ báo Pine Script®
của SpxGh0st
Volume Indıcator [JP & Dia]The volume indicator refers to the total amount of a financial instrument that has been traded within a specific time frame. This can include shares, contracts, or lots. Market exchanges track and provide this data. The volume indicator is one of the oldest and most widely used indicators in trading. It is typically represented by colored columns, with green indicating up volume and red indicating down volume, along with a moving average. Unlike other indicators, the volume indicator is not based on price. A high volume suggests a strong interest in a particular instrument at its current price, while a low volume suggests the opposite. When there is a sudden increase in trading volume, it indicates a higher likelihood of the price changing. This often occurs during news events. Strong trending movements are often accompanied by increased trading volume, which can be seen as a measure of strength. Traders would typically expect to see high buying volume at a support level and high selling volume at a resistance level. There are various ways to incorporate volume into a trading strategy, and many traders combine it with other analysis techniques. USECASE : Timeframe Selection: Choose the timeframe for which you want to analyze the volume. Volume Display Options: Toggle the display of today’s, yesterday’s, and the day before yesterday’s volume data. Text Color: Select the color for the text in the volume table. Volume Data Retrieval: The script fetches volume data for the selected timeframe and the daily volume for the current and previous two days. Percentage Change Calculation: Calculates the percentage change in volume between days to identify significant increases or decreases. Volume Table: A table is created to display the volume data and percentage changes, updating in real-time with each new bar.
Chỉ báo Pine Script®
của ByCentralTrader
MACD All In One Screener [ChartPrime]INTRODUCTION MACD All In One Screener (ChartPrime) is a multi instrument, multi timeframe indicator designed to provide traders with a comprehensive solution to monitoring the market. This indicator is designed to be easy to use and visually appealing while also being highly flexible and feature rich. Users can pick up to 10 symbols not including the chart's symbol and set up alerts for many different signals that the MACD produces. One standout feature of this indicator is its ability to display not only each symbol individually as a MACD but you can also view its chart from within this indicator. This removes the need to flip between symbols to see the price action for your basket. On top of that we have designed this indicator to be friendly with "indicator on indicator" by providing outputs for all of the standards of price that users may want. Included is an overview section that shows all of the symbols signals symbolically over time. Additionally we have included a table for easy monitoring. This table includes the symbol, its timeframe, the current alert, and its histogram state. To make things as user friendly as possible we have also included rich error handling that tells you exactly what is wrong with your configuration. HOW TO USE To use this indicator, simply add it to your chart and navigate to the settings. From there select the symbols you want to monitor and the timeframes you want to use. Next you want to navigate down to the alerts section to select the what alerts you want to receive, and what symbols you want to get alerts for. Finally, you wan to create your alert using "Any alert() function call". Now your screener is all set up! OVERVIEW OF INPUTS View allows you to select what the indicator currently displays. You can pick from any one of the selected symbols, an overview of all of the symbols, or simply nothing. If you want to only use the table, "None" is provided so you can move the indicator into the chart panel. View Toggle lets you pick from displaying the MACD for the selected symbol or the Price Action as a candle chart. To see your "indicator on indicator" you will have to select a symbol from the view list. There is a bug where if you select "Overview" while you are using "indicator on indicator" your added indicator will see the last symbol you viewed. To fix this, simply change the setting of your overlaid indicator and it will correct its self. History Length is the number of historical bars to calculate over. This feature is here to prevent the indicator from breaking due to uneven historical data between the symbols. Show Price Line toggles a dotted line that follows the current symbols closing price when "Price" is selected under the "View Toggle" dropdown. Show Symbol Label toggles a label that displays the current symbols name and timeframe. This only impacts the single symbol view. Overview Label Color adjusts the color of the symbol labels for both overview and single symbol view. MA Type lets you pick what kind of moving average you want to use for the oscillator or signal. You can pick from the standard SMA or EMA. Fast Length is a standard input for MACD. This lets you pick the period of the fast MA. Slow Length , just like Fast Lenght, is a standard input for MACD. This lets you pick the period of the slow MA. Signal Length is another standard input for MACD. This lets you configure the period of the signal MA. MACD Cross Overlay Icon is a toggle to display MACD crosses when viewing a single symbol's MACD. When the MACD has a bullish cross it will plot a bullish dot, and when it has a bearish cross it will plot a bearish dot. This is purely visual. Regular Bullish and Bearish toggles the visual display of the divergences on the single symbol view. This does not effect the indicators ability do send alerts. Divergence Look Right adjusts the number of bars into the future to look for confirmation of a signal. This directly impacts lag but enhances stability. Divergence Look Left adjusts the number of bars into the past to check for a signal. A longer period will filter out smaller moves Maximum Lookback adjusts the maximum size of a divergence. Minimum Lookback adjusts the minimum size of a divergence. Divergence Drawings picks how you want to visualize the divergence. You can pick from displaying it as a line, a label, or both. Enable Table toggles the overview table. When enabled it will show you the enabled symbols and their current state. From left to right: symbol name, timeframe, current alert, and histogram state. Position picks where on the chart you want the table to be. Text Color adjusts the text color of the table. BG Color adjusts the background color of the table. Frame Color adjust the frame color of the table. Current Symbol Time Frame adjusts the timeframe of the chart's symbol. Symbol 1 - 10 pick "Symbol's" symbol and timeframe. To use higher timeframes, the symbol's have to be the same type. You can't have a crypto and a stock using HTF at the same time as they don't have the same sessions and will result in an error. You can use unsafe mode (as described below) to potentially get around this. Enable Symbol when enabled it will give you alerts for the symbol. This also enables the symbol in the overview. If this is disabled it won't send alerts, and it will not show up in overview, or the table. Wait for Close enables waiting for the bar to close before printing an alert. Alert Symbol Size picks what size you want the overview symbols to be. Enable Cross Over 0 Alert: MACD crosses over the 0 line. Enable Cross Under 0 Alert: MACD crosses under the 0 line. Enable MACD Cross Bullish Alert: Bullish MACD cross. Enable MACD Cross Bearish Alert: Bearish MACD cross. Enable Histogram Bullish Turn Alert: MACD begins to turn bullish but hasn't crossed. Enable Histogram Bearish Turn Alert: MACD begins to turn bearish but hasn't crossed. Enable Histogram Bullish Continuation Alert: MACD is in a bullish cross state and it was declining but began rising again. Enable Histogram Bearish Continuation Alert: MACD is in a bearish cross state and it was rising but began falling again. Enable Bullish/Bearish Divergence Alert enables divergence alerts. Divergences are lagging, especially on a higher timeframe. These alerts will also tell you the time in the past when the divergence occurred. Color Section is provided to allow for personalization of the indicator. Everything can be adjusted here. Disable Error Checking: Only enable this if you want to bypass the built in error checking. This will enable 'Safe Requesting'. Safe Requesting will only request enabled symbols and you will not be able to view symbols that are not enabled in this mode. Only use this if you want to mix symbol types and you know it will work. (An example would be viewing stocks and SPY at the same time.) CONCLUSION The MACD All In One Screener (ChartPrime) is a versatile indicator designed to monitor multiple symbols across various timeframes. The flexibility in customization, from MACD settings to visual alerts and table presentations, allows users to tailor the screener to their needs and preferences. We hope you find this as useful and interesting as we do and wish you good luck in the market! Enjoy
Chỉ báo Pine Script®
của ChartPrime
9
Zendog V3 backtest DCA bot 3commasMAJOR UPDATE: - Update to Pinescript v5 - MAJOR refactor for the logic of how orders are placed. BO order is placed when the condition is first encountered and we are not in a deal. The extra SO orders (if based on price movement) are all placed on the next candle after BO order, instead of each being placed one after another. Take profit (if percentage) and Stop loss are placed on the first candle after BO order because if BO and TP are on the same candle TV does not execute properly. These changes should improve strategy accuracy when multiple prices are hit by the same candle. - NEW FEATURE: Support to Stop deal using an external indicator (i.e. stop long deal when RSI > 80) - NEW FEATURE: Support to trigger Safety orders using an external indicator (i.e. trigger each additional SO when RSI < 10, regardless of price movement) The price movement logic may be implemented in the indicator that plots start / end signals. The SO size is calculated using the configuration of steps. - NEW FEATURE: Safety order command for 3commas bot. This is implemented using Add funds in the quote currency (for pair BTCUSDT the quote currency is USDT) The SO size is calculated using the configuration of steps, for exact order size (and price) use the built-in Steps table. - NEW FEATURE: Addition of extra columns to the steps table: Required price for TP, Required % change for TP, Required % change for BEP (Breakeven point) - Update to steps table to remove prices when Safety orders are not based on % price change - The code is opensource. I will not be able to sustain merges for the script, but feel free to use and develop your own version and ping me on discord to review them and maybe include in the original script
Chiến lược Pine Script®
của zendog123
53
Hellenic EMA Matrix - Α Ω PremiumHellenic EMA Matrix - Alpha Omega Premium Complete User Guide Table of Contents Introduction Indicator Philosophy Mathematical Constants EMA Types Settings Trading Signals Visualization Usage Strategies FAQ Introduction Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market. Key Features: 6 EMA types based on mathematical constants Premium visualization with Neon Glow and Gradient Clouds Automatic Fast/Mid/Slow EMA sorting STRONG signals for powerful trends Pulsing Ribbon Bar for instant trend assessment Works on all timeframes (M1 - MN) Indicator Philosophy Why Mathematical Constants? Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature: Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions Pi (3.14159) - Pi: circles, waves, cycles e (2.71828) - Natural logarithm base: exponential growth, radioactive decay Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles. Mathematical Constants Phi (Phi) - Golden Ratio Phi = 1.618033988749895 Properties: Phi² = Phi + 1 = 2.618 Phi³ = 4.236 Phi⁴ = 6.854 Application: Ideal for trending movements and Fibonacci corrections Pi (Pi) - Pi Number Pi = 3.141592653589793 Properties: 2Pi = 6.283 (full circle) 3Pi = 9.425 4Pi = 12.566 Application: Excellent for cyclical markets and wave structures e (Euler) - Euler's Number e = 2.718281828459045 Properties: e² = 7.389 e³ = 20.085 e⁴ = 54.598 Application: Suitable for exponential movements and volatile markets EMA Types 1. Phi (Phi) - Golden Ratio EMA Description: EMA based on the golden ratio Period Formula: Period = Phi^n × Base Multiplier Parameters: Phi Power Level (1-8): Power of Phi Phi¹ = 1.618 → ~16 period (with Base=10) Phi² = 2.618 → ~26 period Phi³ = 4.236 → ~42 period (recommended) Phi⁴ = 6.854 → ~69 period Recommendations: Phi² or Phi³ for day trading Phi⁴ or Phi⁵ for swing trading Works excellently as Fast EMA 2. Pi (Pi) - Circular EMA Description: EMA based on Pi for cyclical movements Period Formula: Period = Pi × Multiple × Base Multiplier Parameters: Pi Multiple (1-10): Pi multiplier 1Pi = 3.14 → ~31 period (with Base=10) 2Pi = 6.28 → ~63 period (recommended) 3Pi = 9.42 → ~94 period Recommendations: 2Pi ideal as Mid or Slow EMA Excellently identifies cycles and waves Use on volatile markets (crypto, forex) 3. e (Euler) - Natural EMA Description: EMA based on natural logarithm Period Formula: Period = e^n × Base Multiplier Parameters: e Power Level (1-6): Power of e e¹ = 2.718 → ~27 period (with Base=10) e² = 7.389 → ~74 period (recommended) e³ = 20.085 → ~201 period Recommendations: e² works excellently as Slow EMA Ideal for stocks and indices Filters noise well on lower timeframes 4. Delta (Delta) - Adaptive EMA Description: Adaptive EMA that changes period based on volatility Period Formula: Period = Base Period × (1 + (Volatility - 1) × Factor) Parameters: Delta Base Period (5-200): Base period (default 20) Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0) How it works: During low volatility → period decreases → EMA reacts faster During high volatility → period increases → EMA smooths noise Recommendations: Works excellently on news and sharp movements Use as Fast EMA for quick adaptation Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks 5. Sigma (Sigma) - Composite EMA Description: Composite EMA combining multiple active EMAs Composition Methods: Weighted Average (default): Sigma = (Phi + Pi + e + Delta) / 4 Simple average of all active EMAs Geometric Mean: Sigma = fourth_root(Phi × Pi × e × Delta) Geometric mean (more conservative) Harmonic Mean: Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta) Harmonic mean (more weight to smaller values) Recommendations: Enable for additional confirmation Use as Mid EMA Weighted Average - most universal method 6. Lambda (Lambda) - Wave EMA Description: Wave EMA with sinusoidal period modulation Period Formula: Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency)) Parameters: Lambda Base Period (10-200): Base period Lambda Wave Amplitude (0.1-2.0): Wave amplitude Lambda Wave Frequency (10-200): Wave frequency in bars How it works: Period pulsates sinusoidally Creates wave effect following market cycles Recommendations: Experimental EMA for advanced users Works well on cyclical markets Frequency = 50 for day trading, 100+ for swing Settings Matrix Core Settings Base Multiplier (1-100) Multiplies all EMA periods Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7) Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74) Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148) Recommendations by timeframe: M1-M5: Base = 5-10 M15-H1: Base = 10-15 (recommended) H4-D1: Base = 15-25 W1-MN: Base = 25-50 Matrix Source Data source selection for EMA calculation: close - closing price (standard) open - opening price high - high low - low hl2 - (high + low) / 2 hlc3 - (high + low + close) / 3 ohlc4 - (open + high + low + close) / 4 When to change: hlc3 or ohlc4 for smoother signals high for aggressive longs low for aggressive shorts Manual EMA Selection Critically important setting! Determines which EMAs are used for signal generation. Use Manual Fast/Slow/Mid Selection Enabled (default): You select EMAs manually Disabled: Automatic selection by periods Fast EMA Fast EMA - reacts first to price changes Recommendations: Phi Golden (recommended) - universal choice Delta Adaptive - for volatile markets Must be fastest (smallest period) Slow EMA Slow EMA - determines main trend Recommendations: Pi Circular (recommended) - excellent trend filter e Natural - for smoother trend Must be slowest (largest period) Mid EMA Mid EMA - additional signal filter Recommendations: e Natural (recommended) - excellent middle level Pi Circular - alternative None - for more frequent signals (only 2 EMAs) IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods: Fast = EMA with smallest period Mid = EMA with middle period Slow = EMA with largest period Therefore, you can select any combination - the indicator will arrange them correctly! Premium Visualization Neon Glow Enable Neon Glow for EMAs - adds glowing effect around EMA lines Glow Strength: Light - subtle glow Medium (recommended) - optimal balance Strong - bright glow (may be too bright) Effect: 2 glow layers around each EMA for 3D effect Gradient Clouds Enable Gradient Clouds - fills space between EMAs with gradient Parameters: Cloud Transparency (85-98): Cloud transparency 95-97 (recommended) Higher = more transparent Dynamic Cloud Intensity - automatically changes transparency based on EMA distance Cloud Colors: Phi-Pi Cloud: Blue - when Pi above Phi (bullish) Gold - when Phi above Pi (bearish) Pi-e Cloud: Green - when e above Pi (bullish) Blue - when Pi above e (bearish) 2 layers for volumetric effect Pulsing Ribbon Bar Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart Parameters: Ribbon Position: Top / Bottom (recommended) Pulse Speed: Slow / Medium (recommended) / Fast Symbols and colors: Green filled square - STRONG BULLISH Pink filled square - STRONG BEARISH Blue hollow square - Bullish (regular) Red hollow square - Bearish (regular) Purple rectangle - Neutral Effect: Pulsation with sinusoid for living market feel Signal Bar Highlights Enable Signal Bar Highlights - highlights bars with signals Parameters: Highlight Transparency (88-96): Highlight transparency Highlight Style: Light Fill (recommended) - bar background fill Thin Line - bar outline only Highlights: Golden Cross - green Death Cross - pink STRONG BUY - green STRONG SELL - pink Show Greek Labels Shows Greek alphabet letters on last bar: Phi - Phi EMA (gold) Pi - Pi EMA (blue) e - Euler EMA (green) Delta - Delta EMA (purple) Sigma - Sigma EMA (pink) When to use: For education or presentations Show Old Background Old background style (not recommended): Green background - STRONG BULLISH Pink background - STRONG BEARISH Blue background - Bullish Red background - Bearish Not recommended - use new Gradient Clouds and Pulsing Bar Info Table Show Info Table - table with indicator information Parameters: Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right Size: Tiny / Small (recommended) / Normal / Large Table contents: EMA list - periods and current values of all active EMAs Effects - active visual effects TREND - current trend state: STRONG UP - strong bullish STRONG DOWN - strong bearish Bullish - regular bullish Bearish - regular bearish Neutral - neutral Momentum % - percentage deviation of price from Fast EMA Setup - current Fast/Slow/Mid configuration Trading Signals Show Golden/Death Cross Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal) Symbols: Yellow dot "GC" below - Golden Cross Dark red dot "DC" above - Death Cross Show STRONG Signals STRONG BUY and STRONG SELL - the most powerful indicator signals Conditions for STRONG BULLISH: EMA Alignment: Fast > Mid > Slow (all EMAs aligned) Trend: Fast > Slow (clear uptrend) Distance: EMAs separated by minimum 0.15% Price Position: Price above Fast EMA Fast Slope: Fast EMA rising Slow Slope: Slow EMA rising Mid Trending: Mid EMA also rising (if enabled) Conditions for STRONG BEARISH: Same but in reverse Visual display: Green label "STRONG BUY" below bar Pink label "STRONG SELL" above bar Difference from Golden/Death Cross: Golden/Death Cross = crossing moment (1 bar) STRONG signal = sustained trend (lasts several bars) IMPORTANT: After fixes, STRONG signals now: Work on all timeframes (M1 to MN) Don't break on small retracements Work with any Fast/Mid/Slow combination Automatically adapt thanks to EMA sorting Show Stop Loss/Take Profit Automatic SL/TP level calculation on STRONG signal Parameters: Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss 1.5 (recommended) - standard 1.0 - tight stop 2.0-3.0 - wide stop Take Profit R:R (1.0-5.0): Risk/reward ratio 2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR) 1.5 - conservative 3.0-5.0 - aggressive Formulas: LONG: Stop Loss = Entry - (ATR × Stop Loss ATR) Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R) SHORT: Stop Loss = Entry + (ATR × Stop Loss ATR) Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R) Visualization: Red X - Stop Loss Green X - Take Profit Levels remain active while STRONG signal persists Trading Signals Signal Types 1. Golden Cross Description: Fast EMA crosses Slow EMA from below Signal: Beginning of bullish trend How to trade: ENTRY: On bar close with Golden Cross STOP: Below local low or below Slow EMA TARGET: Next resistance level or 2:1 R:R Strengths: Simple and clear Works well on trending markets Clear entry point Weaknesses: Lags (signal after movement starts) Many false signals in ranging markets May be late on fast moves Optimal timeframes: H1, H4, D1 2. Death Cross Description: Fast EMA crosses Slow EMA from above Signal: Beginning of bearish trend How to trade: ENTRY: On bar close with Death Cross STOP: Above local high or above Slow EMA TARGET: Next support level or 2:1 R:R Application: Mirror of Golden Cross 3. STRONG BUY Description: All EMAs aligned + trend + all EMAs rising Signal: Powerful bullish trend How to trade: ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA STOP: Below Fast EMA or automatic SL (if enabled) TARGET: Automatic TP (if enabled) or by levels TRAILING: Follow Fast EMA Entry strategies: Aggressive: Enter immediately on signal Conservative: Wait for pullback to Fast EMA, then enter on bounce Pyramiding: Add positions on pullbacks to Mid EMA Position management: Hold while STRONG signal active Exit on STRONG SELL or Death Cross appearance Move stop behind Fast EMA Strengths: Most reliable indicator signal Doesn't break on pullbacks Catches large moves Works on all timeframes Weaknesses: Appears less frequently than other signals Requires confirmation (multiple conditions) Optimal timeframes: All (M5 - D1) 4. STRONG SELL Description: All EMAs aligned down + downtrend + all EMAs falling Signal: Powerful bearish trend How to trade: Mirror of STRONG BUY Visual Signals Pulsing Ribbon Bar Quick market assessment at a glance: Symbol Color State Filled square Green STRONG BULLISH Filled square Pink STRONG BEARISH Hollow square Blue Bullish Hollow square Red Bearish Rectangle Purple Neutral Pulsation: Sinusoidal, creates living effect Signal Bar Highlights Bars with signals are highlighted: Green highlight: STRONG BUY or Golden Cross Pink highlight: STRONG SELL or Death Cross Gradient Clouds Colored space between EMAs shows trend strength: Wide clouds - strong trend Narrow clouds - weak trend or consolidation Color change - trend change Info Table Quick reference in corner: TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN) Momentum %: Movement strength Effects: Active visual effects Setup: Fast/Slow/Mid configuration Usage Strategies Strategy 1: "Golden Trailing" Idea: Follow STRONG signals using Fast EMA as trailing stop Settings: Fast: Phi Golden (Phi³) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: Wait for STRONG BUY Enter on bar close or on pullback to Fast EMA Stop below Fast EMA Management: Hold position while STRONG signal active Move stop behind Fast EMA daily Exit on STRONG SELL or Death Cross Take Profit: Partially close at +2R Trail remainder until exit signal For whom: Swing traders, trend followers Pros: Catches large moves Simple rules Emotionally comfortable Cons: Requires patience Possible extended drawdowns on pullbacks Strategy 2: "Scalping Bounces" Idea: Scalp bounces from Fast EMA during STRONG trend Settings: Fast: Delta Adaptive (Base 15, Sensitivity 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base Multiplier: 5 Timeframe: M5, M15 Entry rules: STRONG signal must be active Wait for price pullback to Fast EMA Enter on bounce (candle closes above/below Fast EMA) Stop behind local extreme (15-20 pips) Take Profit: +1.5R or to Mid EMA Or to next level For whom: Active day traders Pros: Many signals Clear entry point Quick profits Cons: Requires constant monitoring Not all bounces work Requires discipline for frequent trading Strategy 3: "Triple Filter" Idea: Enter only when all 3 EMAs and price perfectly aligned Settings: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (3Pi) Base Multiplier: 15 Timeframe: H4, D1 Entry rules (LONG): STRONG BUY active Price above all three EMAs Fast > Mid > Slow (all aligned) All EMAs rising (slope up) Gradient Clouds wide and bright Entry: On bar close meeting all conditions Or on next pullback to Fast EMA Stop: Below Mid EMA or -1.5 ATR Take Profit: First target: +3R Second target: next major level Trailing: Mid EMA For whom: Conservative swing traders, investors Pros: Very reliable signals Minimum false entries Large profit potential Cons: Rare signals (2-5 per month) Requires patience Strategy 4: "Adaptive Scalper" Idea: Use only Delta Adaptive EMA for quick volatility reaction Settings: Fast: Delta Adaptive (Base 10, Sensitivity 3.0) Mid: None Slow: Delta Adaptive (Base 30, Sensitivity 2.0) Base Multiplier: 3 Timeframe: M1, M5 Feature: Two different Delta EMAs with different settings Entry rules: Golden Cross between two Delta EMAs Both Delta EMAs must be rising/falling Enter on next bar Stop: 10-15 pips or below Slow Delta EMA Take Profit: +1R to +2R Or Death Cross For whom: Scalpers on cryptocurrencies and forex Pros: Instant volatility adaptation Many signals on volatile markets Quick results Cons: Much noise on calm markets Requires fast execution High commissions may eat profits Strategy 5: "Cyclical Trader" Idea: Use Pi and Lambda for trading cyclical markets Settings: Fast: Pi Circular (1Pi) Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50) Slow: Pi Circular (3Pi) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: STRONG signal active Lambda Wave EMA synchronized with trend Enter on bounce from Lambda Wave For whom: Traders of cyclical assets (some altcoins, commodities) Pros: Catches cyclical movements Lambda Wave provides additional entry points Cons: More complex to configure Not for all markets Lambda Wave may give false signals Strategy 6: "Multi-Timeframe Confirmation" Idea: Use multiple timeframes for confirmation Scheme: Higher TF (D1): Determine trend direction (STRONG signal) Middle TF (H4): Wait for STRONG signal in same direction Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA) Settings for all TFs: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base Multiplier: 10 Rules: All 3 TFs must show one trend Entry on lower TF Stop by lower TF Target by higher TF For whom: Serious traders and investors Pros: Maximum reliability Large profit targets Minimum false signals Cons: Rare setups Requires analysis of multiple charts Experience needed Practical Tips DOs Use STRONG signals as primary - they're most reliable Let signals develop - don't exit on first pullback Use trailing stop - follow Fast EMA Combine with levels - S/R, Fibonacci, volumes Test on demo before real Adjust Base Multiplier for your timeframe Enable visual effects - they help see the picture Use Info Table - quick situation assessment Watch Pulsing Bar - instant state indicator Trust auto-sorting of Fast/Mid/Slow DON'Ts Don't trade against STRONG signal - trend is your friend Don't ignore Mid EMA - it adds reliability Don't use too small Base Multiplier on higher TFs Don't enter on Golden Cross in range - check for trend Don't change settings during open position Don't forget risk management - 1-2% per trade Don't trade all signals in row - choose best ones Don't use indicator in isolation - combine with Price Action Don't set too tight stops - let trade breathe Don't over-optimize - simplicity = reliability Optimal Settings by Asset US Stocks (SPY, AAPL, TSLA) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 10-15 Timeframe: H4, D1 Features: Use on daily for swing STRONG signals very reliable Works well on trending stocks Forex (EUR/USD, GBP/USD) Recommendation: Fast: Delta Adaptive (Base 15, Sens 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base: 8-12 Timeframe: M15, H1, H4 Features: Delta Adaptive works excellently on news Many signals on M15-H1 Consider spreads Cryptocurrencies (BTC, ETH, altcoins) Recommendation: Fast: Delta Adaptive (Base 10, Sens 3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M5, M15, H1 Features: High volatility - adaptation needed STRONG signals can last days Be careful with scalping on M1-M5 Commodities (Gold, Oil) Recommendation: Fast: Pi Circular (1Pi) Mid: Phi Golden (Phi³) Slow: Pi Circular (3Pi) Base: 12-18 Timeframe: H4, D1 Features: Pi works excellently on cyclical commodities Gold responds especially well to Phi Oil volatile - use wide stops Indices (S&P500, Nasdaq, DAX) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 15-20 Timeframe: H4, D1, W1 Features: Very trending instruments STRONG signals last weeks Good for position trading Alerts The indicator supports 6 alert types: 1. Golden Cross Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!" When: Fast EMA crosses Slow EMA from below 2. Death Cross Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!" When: Fast EMA crosses Slow EMA from above 3. STRONG BULLISH Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!" When: All conditions for STRONG BUY met (first bar) 4. STRONG BEARISH Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!" When: All conditions for STRONG SELL met (first bar) 5. Bullish Ribbon Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend" When: EMAs aligned bullish + price above Fast EMA (less strict condition) 6. Bearish Ribbon Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend" When: EMAs aligned bearish + price below Fast EMA (less strict condition) How to Set Up Alerts: Open indicator on chart Click on three dots next to indicator name Select "Create Alert" In "Condition" field select needed alert: Golden Cross Death Cross STRONG BULLISH STRONG BEARISH Bullish Ribbon Bearish Ribbon Configure notification method: Pop-up in browser Email SMS (in Premium accounts) Push notifications in mobile app Webhook (for automation) Select frequency: Once Per Bar Close (recommended) - once on bar close Once Per Bar - during bar formation Only Once - only first time Click "Create" Tip: Create separate alerts for different timeframes and instruments FAQ 1. Why don't STRONG signals appear? Possible reasons: Incorrect Fast/Mid/Slow order Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods Base Multiplier too large Solution: Reduce Base to 5-10 on lower timeframes Market in range Solution: STRONG signals appear only in trends - this is normal Too strict EMA settings Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10 Mid EMA too close to Fast or Slow Solution: Select Mid EMA with period between Fast and Slow 2. How often should STRONG signals appear? Normal frequency: M1-M5: 5-15 signals per day (very active markets) M15-H1: 2-8 signals per day H4: 3-10 signals per week D1: 2-5 signals per month W1: 2-6 signals per year If too many signals - market very volatile or Base too small If too few signals - market in range or Base too large 4. What are the best settings for beginners? Universal "out of the box" settings: Matrix Core: Base Multiplier: 10 Source: close Phi Golden: Enabled, Power = 3 Pi Circular: Enabled, Multiple = 2 e Natural: Enabled, Power = 2 Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0 Manual Selection: Fast: Phi Golden Mid: e Natural Slow: Pi Circular Visualization: Gradient Clouds: ON Neon Glow: ON (Medium) Pulsing Bar: ON (Medium) Signal Highlights: ON (Light Fill) Table: ON (Top Right, Small) Signals: Golden/Death Cross: ON STRONG Signals: ON Stop Loss: OFF (while learning) Timeframe for learning: H1 or H4 5. Can I use only one EMA? No, minimum 2 EMAs (Fast and Slow) for signal generation. Mid EMA is optional: With Mid EMA = more reliable but rarer signals Without Mid EMA = more signals but less strict filtering Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment 6. Does the indicator work on cryptocurrencies? Yes, works excellently! Especially good on: Bitcoin (BTC) Ethereum (ETH) Major altcoins (SOL, BNB, XRP) Recommended settings for crypto: Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M15, H1, H4 Crypto market features: High volatility → use Delta Adaptive 24/7 trading → set alerts Sharp movements → wide stops 7. Can I trade only with this indicator? Technically yes, but NOT recommended. Best approach - combine with: Price Action - support/resistance levels, candle patterns Volume - movement strength confirmation Fibonacci - retracement and extension levels RSI/MACD - divergences and overbought/oversold Fundamental analysis - news, company reports Hellenic Matrix: Excellently determines trend and its strength Provides clear entry/exit points Doesn't consider fundamentals Doesn't see major levels 8. Why do Gradient Clouds change color? Color depends on EMA order: Phi-Pi Cloud: Blue - Pi EMA above Phi EMA (bullish alignment) Gold - Phi EMA above Pi EMA (bearish alignment) Pi-e Cloud: Green - e EMA above Pi EMA (bullish alignment) Blue - Pi EMA above e EMA (bearish alignment) Color change = EMA order change = possible trend change 9. What is Momentum % in the table? Momentum % = percentage deviation of price from Fast EMA Formula: Momentum = ((Close - Fast EMA) / Fast EMA) × 100 Interpretation: +0.5% to +2% - normal bullish momentum +2% to +5% - strong bullish momentum +5% and above - overheating (correction possible) -0.5% to -2% - normal bearish momentum -2% to -5% - strong bearish momentum -5% and below - oversold (bounce possible) Usage: Monitor momentum during STRONG signals Large momentum = don't enter (wait for pullback) Small momentum = good entry point 10. How to configure for scalping? Settings for scalping (M1-M5): Base Multiplier: 3-5 Source: close or hlc3 (smoother) Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0) Mid: None (for more signals) Slow: Phi Golden (Phi²) or Pi Circular (1Pi) Visualization: - Gradient Clouds: ON (helps see strength) - Neon Glow: OFF (doesn't clutter chart) - Pulsing Bar: ON (quick assessment) - Signal Highlights: ON Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0) Scalping rules: Trade only STRONG signals Enter on bounce from Fast EMA Tight stops (10-20 pips) Quick take profit (+1R to +2R) Don't hold through news 11. How to configure for long-term investing? Settings for investing (D1-W1): Base Multiplier: 20-30 Source: close Fast: Phi Golden (Phi³ or Phi⁴) Mid: e Natural (e²) Slow: Pi Circular (3Pi or 4Pi) Visualization: - Gradient Clouds: ON - Neon Glow: ON (Medium) - Everything else - to taste Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: OFF (use percentage stop) Investing rules: Enter only on STRONG signals Hold while STRONG active (weeks/months) Stop below Slow EMA or -10% Take profit: by company targets or +50-100% Ignore short-term pullbacks 12. What if indicator slows down chart? Indicator is optimized, but if it slows: Disable unnecessary visual effects: Neon Glow: OFF (saves 8 plots) Gradient Clouds: ON but low quality Lambda Wave EMA: OFF (if not using) Reduce number of active EMAs: Sigma Composite: OFF Lambda Wave: OFF Leave only Phi, Pi, e, Delta Simplify settings: Pulsing Bar: OFF Greek Labels: OFF Info Table: smaller size 13. Can I use on different timeframes simultaneously? Yes! Multi-timeframe analysis is very powerful: Classic scheme: Higher TF (D1, W1) - determine global trend Wait for STRONG signal This is our trading direction Middle TF (H4, H1) - look for confirmation STRONG signal in same direction Precise entry zone Lower TF (M15, M5) - entry point Golden Cross or bounce from Fast EMA Precise stop loss Example: W1: STRONG BUY active (global uptrend) H4: STRONG BUY appeared (confirmation) M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY Advantages: Maximum reliability Clear timeframe hierarchy Large targets 14. How does indicator work on news? Delta Adaptive EMA adapts excellently to news: Before news: Low volatility → Delta EMA becomes fast → pulls to price During news: Sharp volatility spike → Delta EMA slows → filters noise After news: Volatility normalizes → Delta EMA returns to normal Recommendations: Don't trade at news release moment (spreads widen) Wait for STRONG signal after news (2-5 bars) Use Delta Adaptive as Fast EMA for quick reaction Widen stops by 50-100% during important news Advanced Techniques Technique 1: "Divergences with EMA" Idea: Look for discrepancies between price and Fast EMA Bullish divergence: Price makes lower low Fast EMA makes higher low = Possible reversal up Bearish divergence: Price makes higher high Fast EMA makes lower high = Possible reversal down How to trade: Find divergence Wait for STRONG signal in divergence direction Enter on confirmation Technique 2: "EMA Tunnel" Idea: Use space between Fast and Slow EMA as "tunnel" Rules: Wide tunnel - strong trend, hold position Narrow tunnel - weak trend or consolidation, caution Tunnel narrowing - trend weakening, prepare to exit Tunnel widening - trend strengthening, can add Visually: Gradient Clouds show this automatically! Trading: Enter on STRONG signal (tunnel starts widening) Hold while tunnel wide Exit when tunnel starts narrowing Technique 3: "Wave Analysis with Lambda" Idea: Lambda Wave EMA creates sinusoid matching market cycles Setup: Lambda Base Period: 30 Lambda Wave Amplitude: 0.5 Lambda Wave Frequency: 50 (adjusted to asset cycle) How to find correct Frequency: Look at historical cycles (distance between local highs) Average distance = your Frequency Example: if highs every 40-60 bars, set Frequency = 50 Trading: Enter when Lambda Wave at bottom of sinusoid (growth potential) Exit when Lambda Wave at top (fall potential) Combine with STRONG signals Technique 4: "Cluster Analysis" Idea: When all EMAs gather in narrow cluster = powerful breakout soon Cluster signs: All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other Gradient Clouds almost invisible Price jumping around all EMAs Trading: Identify cluster (all EMAs close) Determine breakout direction (where more volume, higher TFs direction) Wait for breakout and STRONG signal Enter on confirmation Target = cluster size × 3-5 This is very powerful technique for big moves! Technique 5: "Sigma as Dynamic Level" Idea: Sigma Composite EMA = average of all EMAs = magnetic level Usage: Enable Sigma Composite (Weighted Average) Sigma works as dynamic support/resistance Price often returns to Sigma before trend continuation Trading: In trend: Enter on bounces from Sigma In range: Fade moves from Sigma (trade return to Sigma) On breakout: Sigma becomes support/resistance Risk Management Basic Rules 1. Position Size Conservative: 1% of capital per trade Moderate: 2% of capital per trade (recommended) Aggressive: 3-5% (only for experienced) Calculation formula: Lot Size = (Capital × Risk%) / (Stop in pips × Pip value) 2. Risk/Reward Ratio Minimum: 1:1.5 Standard: 1:2 (recommended) Optimal: 1:3 Aggressive: 1:5+ 3. Maximum Drawdown Daily: -3% to -5% Weekly: -7% to -10% Monthly: -15% to -20% Upon reaching limit → STOP trading until end of period Position Management Strategies 1. Fixed Stop Method: Stop below/above Fast EMA or local extreme DON'T move stop against position Can move to breakeven For whom: Beginners, conservative traders 2. Trailing by Fast EMA Method: Each day (or bar) move stop to Fast EMA level Position closes when price breaks Fast EMA Advantages: Stay in trend as long as possible Automatically exit on reversal For whom: Trend followers, swing traders 3. Partial Exit Method: 50% of position close at +2R 50% hold with trailing by Mid EMA or Slow EMA Advantages: Lock profit Leave position for big move Psychologically comfortable For whom: Universal method (recommended) 4. Pyramiding Method: First entry on STRONG signal (50% of planned position) Add 25% on pullback to Fast EMA Add another 25% on pullback to Mid EMA Overall stop below Slow EMA Advantages: Average entry price Reduce risk Increase profit in strong trends Caution: Works only in trends In range leads to losses For whom: Experienced traders Trading Psychology Correct Mindset 1. Indicator is a tool, not holy grail Indicator shows probability, not guarantee There will be losing trades - this is normal Important is series statistics, not one trade 2. Trust the system If STRONG signal appeared - enter Don't search for "perfect" moment Follow trading plan 3. Patience STRONG signals don't appear every day Better miss signal than enter against trend Quality over quantity 4. Discipline Always set stop loss Don't move stop against position Don't increase risk after losses Beginner Mistakes 1. "I know better than indicator" Indicator says STRONG BUY, but you think "too high, will wait for pullback" Result: miss profitable move Solution: Trust signals or don't use indicator 2. "Will reverse now for sure" Trading against STRONG trend Result: stops, stops, stops Solution: Trend is your friend, trade with trend 3. "Will hold a bit more" Don't exit when STRONG signal disappears Greed eats profit Solution: If signal gone - exit! 4. "I'll recover" After losses double risk Result: huge losses Solution: Fixed % risk ALWAYS 5. "I don't like this signal" Skip signals because of "feeling" Result: inconsistency, no statistics Solution: Trade ALL signals or clearly define filters Trading Journal What to Record For each trade: 1. Entry/exit date and time 2. Instrument and timeframe 3. Signal type Golden Cross STRONG BUY STRONG SELL Death Cross 4. Indicator settings Fast/Mid/Slow EMA Base Multiplier Other parameters 5. Chart screenshot Entry moment Exit moment 6. Trade parameters Position size Stop loss Take Profit R:R 7. Result Profit/Loss in $ Profit/Loss in % Profit/Loss in R 8. Notes What was right What was wrong Emotions during trade Lessons Journal Analysis Analyze weekly: 1. Win Rate Win Rate = (Profitable trades / All trades) × 100% Good: 50-60% Excellent: 60-70% Exceptional: 70%+ 2. Average R Average R = Sum of all R / Number of trades Good: +0.5R Excellent: +1.0R Exceptional: +1.5R+ 3. Profit Factor Profit Factor = Total profit / Total losses Good: 1.5+ Excellent: 2.0+ Exceptional: 3.0+ 4. Maximum Drawdown Track consecutive losses If more than 5 in row - stop, check system 5. Best/Worst Trades What was common in best trades? (do more) What was common in worst trades? (avoid) Pre-Trade Checklist Technical Analysis STRONG signal active (BUY or SELL) All EMAs properly aligned (Fast > Mid > Slow or reverse) Price on correct side of Fast EMA Gradient Clouds confirm trend Pulsing Bar shows STRONG state Momentum % in normal range (not overheated) No close strong levels against direction Higher timeframe doesn't contradict Risk Management Position size calculated (1-2% risk) Stop loss set Take profit calculated (minimum 1:2) R:R satisfactory Daily/weekly risk limit not exceeded No other open correlated positions Fundamental Analysis No important news in coming hours Market session appropriate (liquidity) No contradicting fundamentals Understand why asset is moving Psychology Calm and thinking clearly No emotions from previous trades Ready to accept loss at stop Following trading plan Not revenging market for past losses If at least one point is NO - think twice before entering! Learning Roadmap Week 1: Familiarization Goals: Install and configure indicator Study all EMA types Understand visualization Tasks: Add indicator to chart Test all Fast/Mid/Slow settings Play with Base Multiplier on different timeframes Observe Gradient Clouds and Pulsing Bar Study Info Table Result: Comfort with indicator interface Week 2: Signals Goals: Learn to recognize all signal types Understand difference between Golden Cross and STRONG Tasks: Find 10 Golden Cross examples in history Find 10 STRONG BUY examples in history Compare their results (which worked better) Set up alerts Get 5 real alerts Result: Understanding signals Week 3: Demo Trading Goals: Start trading signals on demo account Gather statistics Tasks: Open demo account Trade ONLY STRONG signals Keep journal (minimum 20 trades) Don't change indicator settings Strictly follow stop losses Result: 20+ documented trades Week 4: Analysis Goals: Analyze demo trading results Optimize approach Tasks: Calculate win rate and average R Find patterns in profitable trades Find patterns in losing trades Adjust approach (not indicator!) Write trading plan Result: Trading plan on 1 page Month 2: Improvement Goals: Deepen understanding Add additional techniques Tasks: Study multi-timeframe analysis Test combinations with Price Action Try advanced techniques (divergences, tunnels) Continue demo trading (minimum 50 trades) Achieve stable profitability on demo Result: Win rate 55%+ and Profit Factor 1.5+ Month 3: Real Trading Goals: Transition to real account Maintain discipline Tasks: Open small real account Trade minimum lots Strictly follow trading plan DON'T increase risk Focus on process, not profit Result: Psychological comfort on real Month 4+: Scaling Goals: Increase account Become consistently profitable Tasks: With 60%+ win rate can increase risk to 2% Upon doubling account can add capital Continue keeping journal Periodically review and improve strategy Share experience with community Result: Stable profitability month after month Additional Resources Recommended Reading Technical Analysis: "Technical Analysis of Financial Markets" - John Murphy "Trading in the Zone" - Mark Douglas (psychology) "Market Wizards" - Jack Schwager (trader interviews) EMA and Moving Averages: "Moving Averages 101" - Steve Burns Articles on Investopedia about EMA Risk Management: "The Mathematics of Money Management" - Ralph Vince "Trade Your Way to Financial Freedom" - Van K. Tharp Trading Journals: Edgewonk (paid, very powerful) Tradervue (free version + premium) Excel/Google Sheets (free) Screeners: TradingView Stock Screener Finviz (stocks) CoinMarketCap (crypto) Conclusion Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines: Mathematical elegance - Phi, Pi, e instead of arbitrary numbers Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar Reliable signals - STRONG BUY/SELL work on all timeframes Flexibility - 6 EMA types, adaptation to any trading style Automation - auto-sorting EMAs, SL/TP calculation, alerts Key Success Principles: Simplicity - start with basic settings (Phi/Pi/e, Base=10) Discipline - follow STRONG signals strictly Patience - wait for quality setups Risk Management - 1-2% per trade, ALWAYS Journal - document every trade Learning - constantly improve skills Remember: Indicator shows probability, not guarantee Important is series statistics, not one trade Psychology more important than technique Quality more important than quantity Process more important than result Acknowledgments Thank you for using Hellenic EMA Matrix - Alpha Omega Premium! The indicator was created with love for mathematics, markets, and beautiful visualization. Wishing you profitable trading! Guide Version: 1.0 Date: 2025 Compatibility: Pine Script v6, TradingView "In the simplicity of mathematical constants lies the complexity of market movements"
Chỉ báo Pine Script®
của Sesilya