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ค้นหาในสคริปต์สำหรับ "pattern"

Al Brooks - SuiteThis indicator is designed to identify some key terms and methodologies inspired by Al Brooks price action. It helps trades to easy recognize for example i/ii/iii patterns or shaved bars defined in his books. i/ii/iii : Single to triple inside bars. Every bar an inside bar to the previous. This can indiciate a potential contination or reversal pattern. (marked with "i") o/oo/ooo : Single to triple outside bars. Not defined by Al Brooks, but could be an interesting area to develop a strategy. (marked with "o") Shaved bar : A bar with little or no tail/wick on one or both sides. It can indicate strong directional movement or momentum. (marked with "s" The timeframe is not important for the validation of the patterns.
อินดิเคเตอร์ Pine Script®
โดย headcode
11
Confluence StrategyOverview of Confluence Strategy The Confluence Strategy in trading refers to the combination of multiple technical indicators, support/resistance levels, and chart patterns to identify high-probability trading opportunities. The idea is that when several indicators agree on a price movement, the likelihood of that movement being successful increases. Key Components Technical Indicators: Moving Averages (MA): Commonly used to determine the trend direction. Look for crossovers (e.g., the 50-day MA crossing above the 200-day MA). Relative Strength Index (RSI): Helps identify overbought or oversold conditions. A reading above 70 may indicate overbought conditions, while below 30 suggests oversold. MACD (Moving Average Convergence Divergence): Useful for spotting changes in momentum. Look for MACD crossovers and divergence from price. Support and Resistance Levels: Identify key levels where price has historically reversed. These can be drawn from previous highs/lows, Fibonacci retracement levels, or psychological price levels. Chart Patterns: Patterns like head and shoulders, double tops/bottoms, or flags can indicate potential reversals or continuations in price. Strategy Implementation Set Up Your Chart: Add the desired indicators (e.g., MA, RSI, MACD) to your TradingView chart. Mark significant support and resistance levels. Identify Confluence Points: Look for situations where multiple indicators align. For instance, if the price is near a support level, the RSI is below 30, and the MACD shows bullish divergence, this may signal a buying opportunity. Entry and Exit Points: Entry: Place a trade when your confluence conditions are met. Use limit orders for better prices. Exit: Set profit targets based on resistance levels or use trailing stops. Consider the risk-reward ratio to ensure your trades are favorable. Risk Management: Always implement stop-loss orders to protect against unexpected market moves. Position size should reflect your risk tolerance. Example of a Confluence Trade Setup: Price approaches a strong support level. RSI shows oversold conditions (below 30). The 50-day MA is about to cross above the 200-day MA (bullish crossover). Action: Enter a long position as the conditions align. Set a stop loss just below the support level and a take profit at the next resistance level. Conclusion The Confluence Strategy can significantly enhance trading accuracy by ensuring that multiple indicators support a trade decision. Traders on TradingView can customize their indicators and charts to fit their personal trading styles, making it a flexible approach to technical analysis.
อินดิเคเตอร์ Pine Script®
โดย SANDEEPMG1985
MTF RSI+CMO PROThis RSI+CMO script combines the Relative Strength Index (RSI) and Chande Momentum Oscillator (CMO), providing a powerful tool to help traders analyze price momentum and spot potential turning points in the market. Unlike using RSI alone, the CMO (especially with a 14-period length) moves faster and accentuates price pops and dips in the histogram, making price shifts more apparent. Indicator Features: ➡️RSI and CMO Combined: This indicator allows traders to track both RSI and CMO values simultaneously, highlighting differences in their movement. RSI and CMO values are both plotted on the histogram, while CMO values are also drawn as a line moving through the histogram, giving a visual representation of their relationship. The often faster-moving CMO accentuates short-term price movements, helping traders spot subtle shifts in momentum that the RSI might smooth out. ➡️Multi-Time Frame Table: A real-time, multi-time frame table displays RSI and CMO values across various timeframes. This gives traders an overview of momentum across different intervals, making it easier to spot trends and divergences across short and long-term time frames. ➡️Momentum Chart Label: A chart label compares the current RSI and CMO values with values from 1 and 2 bars back, providing an additional metric to gauge momentum. This feature allows traders to easily see if momentum is increasing or decreasing in real-time. ➡️RSI/CMO Bullish and Bearish Signals: Colored arrow plot shapes (above the histogram) indicate when RSI and CMO values are signaling bullish or bearish conditions. For example, green arrows appear when RSI is above 65, while purple arrows show when RSI is below 30 and CMO is below -40, indicating strong bearish momentum. ➡️Divergences in Histogram: The histogram can make it easier for traders to spot divergences between price and momentum. For instance, if the price is making new highs but the RSI or CMO is not, a bearish divergence may be forming. Similarly, bullish divergences can be spotted when prices are making lower lows while RSI or CMO is rising. ➡️Alert System: Alerts are built into the indicator and will trigger when specific conditions are met, allowing traders to stay informed of potential entry or exit points based on RSI and CMO levels without constantly monitoring the chart. These are set manually. Look for the 3 dots in the indicator name. How Traders Can Use the Indicator: 💥Identifying Momentum Shifts: The RSI+CMO combination is ideal for spotting momentum shifts in the market. Traders can monitor the histogram and the CMO line to determine if the market is gaining or losing strength. 💥Confirming Trade Entries/Exits: Use the real-time RSI and CMO values across multiple time frames to confirm trades. For instance, if the 1-hour RSI is above 70 but the 1-minute RSI is turning down, it could indicate short-term overbought conditions, signaling a potential exit or reversal. 💥Spotting Divergences: Divergences are critical for predicting potential reversals. The histogram can be used to spot divergences when RSI and CMO values deviate from price action, offering an early signal of market exhaustion. 💥Tracking Multi-Time Frame Trends: The multi-time frame table provides insight into the market’s overall trend across several timeframes, helping traders ensure their decisions align with both short and long-term trends. RSI vs. CMO: Why Use Both? While both RSI and CMO measure momentum, the CMO often moves faster with a value of 14 for example, reacting to price changes more quickly. This makes it particularly effective for detecting sharp price movements, while RSI helps smooth out price action. By using both, traders get a clearer picture of the market's momentum, particularly during volatile periods. Confluence and Price Fluidity: One of the powerful ways to enhance the effectiveness of this indicator is by using it in conjunction with other technical analysis tools to create confluence. Confluence occurs when multiple indicators or price action signals align, providing stronger confirmation for a trade decision. For example: 🎯Support and Resistance Levels: Traders can use RSI+CMO in combination with key support and resistance zones. If the price is nearing a support level and RSI+CMO values start to signal a bullish reversal, this alignment strengthens the case for entering a long position. 🎯Moving Averages: When the RSI+CMO signals a potential trend reversal and this is confirmed by a crossover in moving averages (such as a 50-day and 200-day moving average), traders gain additional confidence in the trade direction. 🎯Momentum Indicators: Traders can also look for momentum indicators like the MACD to confirm the strength of a trend or potential reversal. For instance, if the RSI+CMO values start to decrease rapidly while both the RSI+CMO also shows overbought conditions, this could provide stronger confirmation to exit a long trade or enter a short position. 🎯Candlestick Patterns: Price fluidity can be monitored using candlestick formations. For example, a bearish engulfing pattern with decreasing RSI+CMo values offers confluence, adding confidence to the signal to close or short the trade. By combining the MTF RSI+CMO PRO with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy.
อินดิเคเตอร์ Pine Script®
โดย MYNAMEISBRANDON
Chandelier Exit Pro w/ExtensionsChandelier Exit Pro w/Extensions The Chandelier Exit Pro w/Extensions indicator is designed to assist traders in managing risk and identifying trend reversals. The strategy is based on the Chandelier Exit concept, originally created by Charles Le Beau. It uses the Average True Range (ATR) to calculate dynamic stop levels that adjust based on market volatility. This script not only implements the standard Chandelier Exit, but also introduces extension levels and alerts to enhance decision-making. Key Features: ➡️Dynamic Stop Levels: The indicator calculates stop levels for both long and short positions based on an ATR multiple. This allows traders to determine exit points by monitoring when the price crosses above or below these levels. These levels adapt in real-time based on price volatility, making them a versatile tool for trend-following strategies. ➡️Extension Levels: In addition to the primary stop levels, the script includes extension levels for more advanced stop-loss management. Traders can view active and extension levels separately, providing more flexibility in their exit strategies. ➡️Labels and Visual Cues: The indicator provides dynamic labels that automatically update and follow the plotted stop levels. Labels include the ATR multiplier value (e.g., "2.5" or "2.5ext"), clearly showing the significance of each level. When price crosses below or above a level, the corresponding label is highlighted, aiding traders in quickly identifying the most relevant stop level. ➡️Bar Confirmation and Alerts: The script includes an "await bar confirmation" option to ensure that the stop levels and alerts only trigger after the bar has closed. Alerts are customizable and will notify traders when price crosses critical levels, helping to make timely decisions without the need to constantly monitor charts. ➡️Multiple ATR Levels for Enhanced Precision: The indicator supports up to four different ATR levels, each with customizable multipliers. This allows traders to set different thresholds for exits based on varying degrees of volatility. For example, Level 1 (2.5x ATR) might represent a tighter stop, while Level 4 (10x ATR) could serve as a wider stop for long-term positions. ➡️Calc_bars_count: Improves efficiency of the indicator by reducing the on-chart calculations in to the past. This input can be found at the bottom of the INPUTS tab. How it Helps Traders: 💥Trend Identification: By using the Chandelier Exit levels, traders can identify when the trend is likely to reverse. When the price crosses below the stop level in a long trade or above the stop level in a short trade, it signals a potential exit point. 💥Volatility-based Adjustments: Unlike static stop-loss methods, the ATR-based stop levels dynamically adjust based on the market’s volatility. This means tighter stops during low volatility periods and wider stops during high volatility periods, reducing the chance of being stopped out prematurely. 💥Risk Management: The dynamic stop levels and extension levels provide a structured way to manage risk. Traders can set tighter stops for short-term trades and wider stops for longer-term trades. The script's visual labels make it easy to track these levels in real-time. 💥Automation with Alerts: The built-in alert system ensures that traders are notified when key levels are crossed. This helps to avoid emotional decision-making and allows for better execution of trading strategies. Confluence and Price Fluidity: One of the powerful ways to enhance the effectiveness of the Chandelier Exit indicator is by using it in conjunction with other technical analysis tools to create confluence. Confluence occurs when multiple indicators or price action signals align, providing stronger confirmation for a trade decision. For example: 🎯Support and Resistance Levels: Traders can use the Chandelier Exit levels in combination with key support and resistance zones. If the price is nearing a support level and the Chandelier Exit signals a bullish reversal, this alignment strengthens the case for entering a long position. 🎯Moving Averages: When the Chandelier Exit signals a trend reversal and this is confirmed by a crossover in moving averages (such as a 50-day and 200-day moving average), traders gain additional confidence in the trade direction. 🎯Momentum Indicators: Traders can also look for momentum indicators like RSI or MACD to confirm the strength of a trend or potential reversal. For instance, if the Chandelier Exit triggers a short signal and the RSI also shows overbought conditions, this could provide stronger confirmation to exit a long trade or enter a short position. 🎯Candlestick Patterns: Price fluidity can be monitored using candlestick formations. For example, a bearish engulfing pattern near a Chandelier Exit resistance level offers confluence, adding confidence to the signal to close or short the trade. By combining the Chandelier Exit with other tools, traders ensure that they are not relying on a single indicator. This layered approach can reduce the likelihood of false signals and improve overall trading accuracy. Practical Use Case: Imagine a trader enters a long position, and the price moves favorably. Using the Chandelier Exit, the trader sets the initial stop level at 2.5x ATR below the highest close. As the price continues to rise, the stop level follows the price, locking in profits. If the market suddenly turns, the price crossing below the stop level signals an exit, helping the trader preserve gains. With extension levels, the trader can further refine exits, adjusting based on their risk tolerance and market conditions. Good luck and I hope that you can find a place in your tool bag to use this dynamic indicator 🙏
อินดิเคเตอร์ Pine Script®
โดย MYNAMEISBRANDON
4
Wyckoff Springs [QuantVue]The Wyckoff Springs indicator is designed to identify potential bullish reversal patterns known as "springs" in the Wyckoff Method. A Wyckoff spring occurs when the price temporarily dips below a support level, then quickly rebounds, suggesting a false breakdown and a potential buying opportunity. How it works: Pivot detection: The indicator identifies pivot lows based on the specified pivot length. These pivot points are stored and analyzed for potential spring patterns. Volume and Range Checks: If volume confirmation is enabled, the indicator checks if the current volume exceeds a threshold based on the average volume over the specified period. The indicator ensures that the price undercuts the defined trading range before confirming a spring pattern. Spring Identification The indicator checks for price conditions indicative of a Wyckoff spring: a temporary dip below a pivot low followed by a close above it. The recovery must take place within 3 bars. If these conditions are met, a spring label is placed below the bar. Features: Pivot Length: The user can set the pivot length to match any style of trading. Volume Confirmation: An optional feature where the user can specify if volume confirmation is required for a spring signal. Volume threshold can be set to determine what constitutes significant volume compared to the average volume over a specified period. By default it is set to 1.5 How to Trade a Spring: Give this indicator a BOOST and COMMENT your thoughts below! We hope you enjoy. Cheers!
อินดิเคเตอร์ Pine Script®
โดย QuantVue
12
Hurst Future Lines of Demarcation StrategyJ. M. Hurst introduced a concept in technical analysis known as the Future Line of Demarcation (FLD), which serves as a forward-looking tool by incorporating a simple yet profound line into future projections on a financial chart. Specifically, the FLD is constructed by offsetting the price half a cycle ahead into the future on the time axis, relative to the Hurst Cycle of interest. For instance, in the context of a 40 Day Cycle, the FLD would be represented by shifting the current price data 20 days forward on the chart, offering an idea of future price movement anticipations. The utility of FLDs extends into three critical areas of insight, which form the backbone of the FLD Trading Strategy: A price crossing the FLD signifies the confirmation of either a peak or trough formation, indicating pivotal moments in price action. Such crossings also help determine precise price targets for the upcoming peak or trough, aligned with the cycle of examination. Additionally, the occurrence of a peak in the FLD itself signals a probable zone where the price might experience a trough, helping to anticipate of future price movements. These insights by Hurst in his "Cycles Trading Course" during the 1970s, are instrumental for traders aiming to determine entry and exit points, and to forecast potential price movements within the market. To use the FLD Trading Strategy, for example when focusing on the 40 Day Cycle, a trader should primarily concentrate on the interplay between three Hurst Cycles: The 20 Day FLD (Signal) - Half the length of the Trade Cycle The 40 Day FLD (Trade) - The Cycle you want to trade The 80 Day FLD (Trend) - Twice the length of the Trade Cycle Traders can gauge trend or consolidation by watching for two critical patterns: Cascading patterns, characterized by several FLDs running parallel with a consistent separation, typically emerge during pronounced market trends, indicating strong directional momentum. Consolidation patterns, on the other hand, occur when multiple FLDs intersect and navigate within the same price bandwidth, often reversing direction to traverse this range multiple times. This tangled scenario results in the formation of Pause Zones, areas where price momentum is likely to temporarily stall or where the emergence of a significant trend might be delayed. This simple FLD indicator provides 3 FLDs with optional source input and smoothing, A-through-H FLD interaction background, adjustable “Close the Trade” triggers, and a simple strategy for backtesting it all. The A-through-H FLD interactions are a framework designed to classify the different types of price movements as they intersect with or diverge from the Future Line of Demarcation (FLD). Each interaction (designated A through H by color) represents a specific phase or characteristic within the cycle, and understanding these can help traders anticipate future price movements and make informed decisions. The adjustable “Close the Trade” triggers are for setting the crossover/under that determines the trade exits. The options include: Price, Signal FLD, Trade FLD, or Trend FLD. For example, a trader may want to exit trades only when price finally crosses the Trade FLD line. Shoutouts & Credits for all the raw code, helpful information, ideas & collaboration, conversations together, introductions, indicator feedback, and genuine/selfless help: 🏆 @TerryPascoe 🏅 @Hpotter 👏 @parisboy
กลยุทธ์ Pine Script®
โดย BarefootJoey
4
Divergence Detector [TradingFinder] RSI + MACD + AO Oscillator 🔵 Introduction 🟣 Understanding Divergence As mentioned, divergence occurs in technical analysis when a stock's price behaves contrary to indicators on the price chart. Divergence can signify either a reversal of the stock's trend or a continuation of the previous trend correction. Divergences can act as reversal patterns or continuation patterns. Moreover, divergences can be utilized to identify potential support and resistance levels. For instance, when an indicator is trending upwards and positive, but the price is declining and trending downwards, divergence occurs. Divergence in a stock indicates trader indecision in buying and selling and warns traders to reconsider their decisions regarding buying or holding the stock. Divergence aids analysts in identifying critical price points. In indicator divergences, it serves as a potent signal in the realm of technical analysis. 🟣 Types of Divergence 1.Regular Divergence o Positive Regular Divergence (RD+) o Negative Regular Divergence (RD-) 2.Hidden Divergence o Positive Hidden Divergence (HD+) o Negative Hidden Divergence (HD-) 3.Time Divergence Key Note : This indicator is specifically designed to identify "Regular Divergence" only. Therefore, the following explanation pertains to this type of divergence. 🔵 Regular Divergence/Convergence Regular Divergence(Convergence) occurs due to conflicting behavior between the indicator and the price chart, typically at the end of a trend. Recognizing Regular Divergence suggests an anticipation of a trend reversal or a pattern resembling a reversal. 🟣 Positive Regular Divergence (RD+) In contrast to negative divergence, positive Regular Divergence occurs at the end of a downtrend and between two price lows. It manifests when the price forms a new low on the price chart, but the indicator fails to recognize it. Positive Regular Divergence indicates strong buying pressure and weak selling pressure. Following the identification of positive divergence on the chart, one can anticipate a price increase for the examined stock. 🟣 Negative Regular Divergence (RD-) This type of Regular Divergence emerges between two price highs during an uptrend. A new high is formed on the price chart, but the indicator fails to acknowledge it. This scenario indicates negative Regular Divergence. The likelihood of a subsequent market downturn is high. Negative divergence signifies strong selling pressure and weak buying pressure, suggesting an unfavorable future for the stock. 🔵 How to use By utilizing the "Fractal Period" input, you can specify your desired periods for identifying divergences. Additionally, through the "Divergence Detect Method" feature, you can choose which oscillators (MACD, RSI, or AO) to base divergence identification on. Divergence in MACD Oscillator : Divergence in the MACD indicator occurs when the price chart and the MACD line form a noticeable opposing pattern, meaning the price moves contrary to the MACD line. In this scenario, one expects a reversal in price direction. Divergence in RSI Oscillator : If divergence occurs during a downtrend on the price chart (two consecutive lows, with the second low being lower) and on the corresponding RSI point (two consecutive lows, with the second low being higher), it signifies positive Regular Divergence and implies a buying signal. Conversely, if divergence occurs during an uptrend on the price chart (two consecutive highs, with the second high being higher) and on the corresponding RSI point (two consecutive highs, with the second high being lower), it indicates negative Regular Divergence, signaling a selling opportunity. Divergence in AO Oscillator : The AO indicator calculates histograms similar to the AO base. It calculates the difference between the simple moving averages of 5 and 34 periods based on the median of each bar. Then, it plots the bars based on the difference. It then compares the histograms to detect peaks and troughs in the AO histograms and compares the identified peaks and troughs to the price. Whenever divergence is detected, it plots lines and arrows. 🔵 Table The table contains information on the functional features of this oscillator that you can utilize. Four categories of information are presented in the table: "Exist," "Consecutive," "Divergence Quality," and "Change Phase Indicator." Exist : If divergence exists, you'll see "+" in this row. Consecutive : Divergences may occur consecutively. If same-type divergences form within short intervals, you can observe the count in this row. Divergence Quality : Based on the number of consecutive divergences, their quality can be evaluated. If one divergence exists, its quality is considered "Normal." If two divergences exist, the quality is "Good," and if three or more divergences exist, the quality is considered "Strong." Change Phase Indicator : If a phase change occurs between two oscillation peaks formed based on divergence, this change is identified and displayed in this row.
อินดิเคเตอร์ Pine Script®
โดย TFlab
9
ZigZag Multi [TradingFinder] Trend & Wave Lines - Structures🔵 Introduction "Zigzag" is an indicator that forms based on price changes. Essentially, the function of this indicator is to connect consecutive and alternating High and Low pivots. This pattern assists in analyzing price changes and can also be used to identify classic patterns. "Zigzag" is an analytical tool that, by filtering partial price movements based on the specified period, can identify price waves across different time frames (short or long term). 🔵 Reason for Creation The combination of "short term zigzag" and "long term zigzag" enhances accuracy and reduces analysis time. In a time frame, "long term zigzag" represents the main trend, while "short term zigzag" depicts short-term waves. 🔵 How to Use After selecting the desired time frame and adding "zigzag" to the chart, begin utilization. Keep in mind to identify the main market trend from "long term zigzag" and the minor waves from "short term zigzag". 🟣 Important: Additionally, classic patterns such as HH, LH, LL, and HL can be recognized. All traders analyzing financial markets using classic patterns and Elliot Waves can benefit from the "zigzag" indicator to facilitate their analysis. 🔵 Settings Short term zigzag : In this section, you can adjust settings such as time frame range, display mode, color, and line width of the zigzag lines. Short term label : This section allows you to activate or deactivate the display of zigzag labels according to your needs. You can also customize their color and size. Long term zigzag : Here, you can adjust settings for time frame range, display mode, color, and line width of zigzag lines. Long term label : Similar to short term label settings. The recommended time frame for "long term zigzag" is between 9 to 15, and for "short term zigzag" is between 3 to 5. 🟣 Important Notes : Considering the different behaviors of financial markets and various time frames, it is recommended to experiment with different time frame settings when using "zigzag" to find the best settings for each symbol and time frame, thereby preventing potential errors. 🟣 Terminology Explanations : "HH": When the price is higher than the previous peak (Higher High). "HL": When the price is higher than the previous low (Higher Low). "LH": When the price is lower than the previous peak (Lower High). "LL": When the price is lower than the previous low (Lower Low).
อินดิเคเตอร์ Pine Script®
โดย TFlab
17
Trend Finder A Trend Finder is a specialized indicator designed to analyze market trends by combining pivot points and candlestick patterns. This hybrid approach aims to provide more accurate signals for identifying potential market directions. Here's a refined description of its features and usage: **Overview:** A Trend Finder indicator utilizes a combination of pivot points and candlestick patterns to offer insights into the prevailing market trend. By incorporating both elements, it seeks to enhance the accuracy of trend analysis. **How to Use Trend Finder:** Using the Trend Finder is straightforward and involves interpreting the signals provided by different coloured boxes: 1. **Green Box (Bull Box):** - Indicates a potential uptrend in the market. - Highlights possible market direction and key points. - Offers insights into bullish market conditions. 2. **Red Box (Downtrend Box):** - Signals a potential downtrend in the market. - Illustrates possible downward market direction and pivotal points. - Provides an estimate of potential market decline using pivot point calculations. **Customization Options:** The Trend Finder comes with customization options to tailor the analysis based on candlestick patterns. Users can adjust these settings to refine the accuracy of trend identification. **Additional Features:** The indicator includes extra features to enhance its functionality: - Displays the previous day's high, low, and close values. - Utilizes this historical data to suggest potential trend directions. - Enables users to make informed trading decisions based on past market behaviour. **Usage Guidelines:** Traders can use the Trend Finder by observing the signals within the coloured boxes, considering the pivot point calculations, and factoring in candlestick patterns. The indicator's flexibility allows users to adjust settings to better align with their preferred trading strategies. In essence, the Trend Finder serves as a comprehensive tool for traders seeking a nuanced understanding of market trends. By combining pivotal technical indicators, it aims to provide a more accurate depiction of potential market movements, assisting traders in making informed decisions.
อินดิเคเตอร์ Pine Script®
โดย DeepakGB
Engulfing with TrendThe script above is a trading strategy with rules based on the Engulfing candlestick pattern within the context of the trend. Some key elements of this script include: 1. ATR (Average True Range) settings to measure market volatility. 2. Supertrend settings to identify the market trend. 3. Conditions for determining uptrend and downtrend. 4. Determination of Bullish (Engulfing pattern during uptrend) and Bearish (Engulfing pattern during downtrend). 5. Calculation of Stop Loss (SL) and Take Profit (TP) levels based on the Engulfing pattern. 6. Entry conditions based on the Engulfing pattern and the corresponding trend. 7. Exit conditions based on price crossovers with SL and TP levels. 8. Plotting of the Engulfing patterns on the chart. This strategy is used to identify trading opportunities based on Engulfing candlestick patterns that align with the direction of the market trend. Additionally, stop loss and take profit levels are calculated based on the Engulfing pattern, and trading signals are displayed on the chart. It's important to note that this script can be customized according to your trading preferences and strategy.
กลยุทธ์ Pine Script®
โดย Malikdrajat
2
Engulfing and emaThis is a Pine Script script that helps you see the Engulfing Candlestick and Inside Bar (Boring Candle) candle patterns on the TradingView chart, as well as drawing two Exponential Moving Averages (EMA). Here's a simple explanation: 1. **Candle Pattern**: - This script identifies the Engulfing Candlestick pattern, which indicates potential changes to the price. If this pattern is detected, the script will show a green (for buy) or red (for sell) arrow above or below that candle. - The script also identifies the Inside Bar (Boring Candle), which indicates the period area in the market. This candle will be the color you choose (default is orange). 2. **Moving Average (EMA)**: - This script also plots two Exponential Moving Averages (EMA) on the chart. EMA is a tool that helps you see price trends more clearly. 3. **Risk Management**: - This script calculates the Stop Loss (SL) and Take Profit (TP) levels for each Engulfing pattern. This helps you manage your trading risks. - Labels are displayed on the charts for SL and TP, so you know where to place them. With the help of this script, you can easily identify important patterns in the market and manage your risks better. Make sure to choose a demo account before using it in real trading.
อินดิเคเตอร์ Pine Script®
โดย Malikdrajat
1
LineBreakIntroduction: The LineBreak Indicator is a technical tool designed to assist traders in identifying potential trend reversals or continuations using a unique charting method known as Line Break charts. This indicator overlays Line Break chart patterns on the main price chart and generates Buy and Sell signals based on specific price movements. In this guide, we will explore the LineBreak Indicator's functionality and how to utilize it effectively in your trading strategy. Indicator Components: The LineBreak Indicator comprises several components that work together to identify potential trade signals: Line Break Chart Creation: The script starts with an indicator declaration, "@version=5," followed by the creation of the LineBreak chart overlay on the main price chart. Line Break charts focus solely on price movements, omitting time entirely. Line Break Chart Data Retrieval: The indicator requests Line Break chart data using the "ticker.linebreak" function, which generates Line Break brick patterns based on a specified brick size (in this case, 3). The script then retrieves the Line Break open, high, low, and close prices for analysis. Buy and Sell Signal Generation: The script generates Buy and Sell signals using plotshape functions and specific conditions based on Line Break chart patterns. These patterns involve the relationship between consecutive brick prices and their opening prices. Alert Conditions: The script establishes alert conditions for both Buy and Sell signals. These alerts notify traders when specific Line Break chart patterns are detected, ensuring timely awareness of potential trading opportunities. How to Use the LineBreak Indicator: Line Break Chart Analysis: Begin by understanding the Line Break chart patterns displayed on the main price chart. Line Break charts focus on price movements rather than time intervals. An upward Line Break brick suggests bullish momentum, while a downward brick indicates bearish momentum. Buy Signal Interpretation: Pay attention to Buy signals generated by the indicator. A Buy signal is triggered when specific Line Break brick conditions are met, indicating a potential reversal from a downtrend to an uptrend. This suggests a potential opportunity to enter a long (Buy) trade. Sell Signal Interpretation: Likewise, be attentive to Sell signals produced by the indicator. A Sell signal occurs when predefined Line Break brick conditions are fulfilled, suggesting a potential reversal from an uptrend to a downtrend. This could signal a chance to enter a short (Sell) trade. Alert Notifications: To ensure you stay informed, set up alert conditions for Buy and Sell signals. Alerts can be customized to your preferences and communication channels, enabling you to promptly respond to potential trade setups. Risk Management and Considerations: Confirmation: While the LineBreak Indicator provides valuable insights, use it in conjunction with other technical analysis tools and indicators to confirm signals. Backtesting: Before deploying the indicator in live trading, perform comprehensive backtesting on historical data to assess its performance and suitability for your trading strategy. Position Sizing: Determine appropriate position sizes based on your risk tolerance and the signals provided by the LineBreak Indicator. Avoid overleveraging your trades. Market Awareness: Stay aware of market conditions and news events that could influence price movements. The LineBreak Indicator is a tool to enhance your decision-making process, not a standalone strategy. Conclusion: The LineBreak Indicator introduces a different perspective on price movements through its unique charting method. By interpreting Line Break chart patterns and acting on generated Buy and Sell signals, traders can make informed trading decisions. Practice proper risk management and integrate the LineBreak Indicator into a comprehensive trading strategy to achieve consistent and successful trading outcomes. Please remember that this guide provides a high-level overview of the LineBreak Indicator and its usage. It's essential to thoroughly test and validate any trading strategy before implementing it in a live trading environment.
อินดิเคเตอร์ Pine Script®
โดย jac001
8
Clownpumps Higher/Lower Close Analysis (HLCA) IndicatorThe Clownpumps Higher/Lower Close Analysis" (HLCA) indicator offers a visual breakdown of the weekly behavior of a market, illustrating how often it closes higher or lower than its opening price. This comprehensive tool assists traders and analysts in pinpointing recurrent patterns that pertain to specific weekdays, forming a solid basis for a systematic trading strategy. Features and Interpretation: Color-Coded Analysis: The HLCA uses two intuitive colors to depict the daily trend: Green: Indicates that, on average, the market closes higher than its opening price more frequently on that day. Red: Highlights days when the market generally closes lower than its opening price. Identifying Recurrent Patterns: Using the HLCA can reveal if a specific weekday consistently sees an asset closing higher or lower. For example, a consistent bullish sentiment on Mondays for a particular stock becomes easily observable. Comparative Analysis: Deploying the HLCA across a range of assets can uncover trends that are either sector-wide or unique to individual stocks or cryptocurrencies. Strategic Entry & Exit Points: Knowledge of which days an asset generally closes higher can guide traders in timing their market entries and exits. Complementary to Other Tools: While the HLCA is a robust tool in itself, its true potential is unlocked when used in tandem with other market indicators. Pairing the daily closing patterns with volume data, for instance, can shed light on the strength of the observed trends. Cautionary Notes: Past behavior doesn't predict future performance. Always remember that correlation doesn't guarantee causation, especially when external market-shifting events come into play. It's recommended to backtest any insights on historical data before committing to live trades.
อินดิเคเตอร์ Pine Script®
โดย clownpumps
Wyckoff Range StrategyThe Wyckoff Range Strategy is a trading strategy that aims to identify potential accumulation and distribution phases in the market using the principles of Wyckoff analysis. It also incorporates the detection of spring and upthrust patterns. Here's a step-by-step explanation of how to use this strategy: Understanding Accumulation and Distribution Phases: Accumulation Phase: This is a period where smart money (large institutional traders) accumulates a particular asset at lower prices. It is characterized by a sideways or consolidating price action. Distribution Phase: This is a period where smart money distributes or sells a particular asset at higher prices. It is also characterized by a sideways or consolidating price action. Input Variables: crossOverLength: This variable determines the length of the moving average crossover used to identify accumulation and distribution phases. You can adjust this value based on the market you are trading and the time frame you are analyzing. stopPercentage: This variable determines the percentage used to calculate the stop loss level. It helps you define a predefined level at which you would exit a trade if the price moves against your position. Strategy Conditions: Enter Long: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength and a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the start of an accumulation phase and a potential buying opportunity. Exit Long: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength or a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the end of an accumulation phase and a potential exit signal for long positions. Enter Short: The strategy looks for a crossunder of the close price below the SMA of the close price with a length of crossOverLength and a crossunder of the high price below the SMA of the high price with a length of 20. This combination suggests the start of a distribution phase and a potential selling opportunity. Exit Short: The strategy looks for a crossover of the close price above the SMA of the close price with a length of crossOverLength or a crossover of the low price above the SMA of the low price with a length of 20. This combination suggests the end of a distribution phase and a potential exit signal for short positions. Stop Loss: The strategy sets a stop loss level for both long and short positions. The stop loss level is calculated based on the stopPercentage variable, which represents the percentage of the current close price. If the price reaches the stop loss level, the strategy will automatically exit the position. Plotting Wyckoff Schematics: The strategy plots different shapes on the chart to indicate the identified phases and patterns. Green and red labels indicate the accumulation and distribution phases, respectively. Blue triangles indicate spring patterns, and orange triangles indicate upthrust patterns. To use this strategy, you can follow these steps: Jim Forte — Anatomy of a Trading Range robertbrain.com/Bull...+a+Trading+Range.pdf
กลยุทธ์ Pine Script®
โดย deperp
9
Regression Channel Alternative MTF V2█ OVERVIEW This indicator is a predecessor to Regression Channel Alternative MTF , which is coded based on latest update of type, object and method. █ IMPORTANT NOTES This indicator is NOT true Multi Timeframe (MTF) but considered as Alternative MTF which calculate 100 bars for Primary MTF, can be refer from provided line helper. The timeframe scenarios are defined based on Position, Swing and Intraday Trader. Suppported Timeframe : W, D, 60, 15, 5 and 1. Channel drawn based on regression calculation. Angle channel is NOT supported. █ INSPIRATIONS These timeframe scenarios are defined based on Harmonic Trading : Volume Three written by Scott M Carney. By applying channel on each timeframe, MW or ABCD patterns can be easily identified manually. This can also be applied on other chart patterns. █ CREDITS Scott M Carney, Harmonic Trading : Volume Three (Reaction vs. Reversal) █ TIMEFRAME EXPLAINED Higher / Distal : The (next) longer or larger comparative timeframe after primary pattern has been identified. Primary / Clear : Timeframe that possess the clearest pattern structure. Lower / Proximate : The (next) shorter timeframe after primary pattern has been identified. Lowest : Check primary timeframe as main reference. █ FEATURES Color is determined by trend or timeframe. Some color is depends on chart contrast color. Color is determined by trend or timeframe. █ EXAMPLE OF USAGE / EXPLAINATION
อินดิเคเตอร์ Pine Script®
โดย RozaniGhani-RG
7
Three Bar Gap (Simple Price Action - with 1 line plot)This script is tailored towards experienced traders who prefer to view raw price charts during live execution. It searches for a three-bar pattern of what is colloquially called "fair value gap", or "imbalance" and uses a single line to plot the results. The goal is to display price in a way that is as simple as possible so that chart readers who don't prefer to add indicators on their screen will still find this indicator as an acceptable option to consider for. From a code perspective, this script explores a new PineScript feature called UDT (user-defined types). This is an incredible update because it brings developers one step close to having the ability to create abstract data types. █ What is price action? Experienced traders will tell you that the chart that they use for live execution is raw, clean, and uses no indicators. They say they execute on price action, so what exactly is price action? There is no formal definition to it, but one can agree that it implies the process of analyzing price without considering the fundamentals, without needing to know what the news was about, and without needing to know any of the Greeks (except for the desire to “seek alpha” Ha.haa...). This is not to say that price action traders are executing in their own vacuums without the need to know what is happening around the world. Surely fundamentals and financial models can be used beforehand for developing a bias for what is being traded, but it’s price-first at the moment of execution. That said, Factor (A) is Price. Factor (B) is time-perception, it’s how the trader reads the tape. How the trader perceives price to change with respect to time is valuable information. Interpretation of "time" will be elaborated in the next section that talks about candlestick patterns detected by this script. Putting this together, price action means the analysis of price movement by only considering (A) price, and (B) time, to predict which direction the market will move. A speculative trader is timing the market with the expectation to make a quick in-and-out profit; she/she is using price action. On the other hand, a long term investor holding a diversified portfolio with a strategy based on modern portfolio theory combined with fundamental analysis (at this point candlesticks are irrelevant) but has one additional criteria of, say, can only go Long on a stock when it has closed Green on Daily; he/she is also considered to be executing on price action. █ Candlestick patterns This script calculates the displacement of highs and lows over three consecutive bars. A) Down move = When High of the recent confirmed bar is lower than the Low of the previous-previous candle B) Up move = When Low of the recent confirmed bar is higher than the High of the previous-previous candle (Note that its the confirmed bar that is being talked about, so it does not repaint) An ATR filter will be applied to reduce the number of lines generated as many times they might just be associated with minor price changes. Interpretations: When price moves quickly across three bars, it can be thought that it has gapped. Although the candle in the middle appears to be solid, it’s not from a conceptual perspective. This is because time itself is arbitrary; timeframes don’t necessarily have to be fixed intervals. Take stocks with regular trading hours for example, if price makes a breakaway gap and you bundle the after-hours and pre-market sessions together as one candle, never minding that intervals should be fixed, then you will see the exact three-bar-gap patterns. Similar happens during intraday sessions on lower timeframes, if you zoom-in closer, you’ll see that ticks within the middle candle are sparsely dispersed. This is why it's called a gap. █ Parameters with fixed inputs & assumptions used: ATR is used for filtering out minor movements that will likely be deemed as irrelevant by trader for the purpose of live execution. The following inputs are required: A) ATR lookback period B) Multiplier The product of ATR(len=A) and B produces a threshold for minimum distance that price must gap by. Initially, it was proposed to be only based on one ATR, but often an ATR is too wide and using it will filter out too many lines. Because of this observation, a multiplier (Parameter B) has been introduced to allow users to apply fractional ATR as a threshold. █ Applications: For trend followers: Follow the direction of the gap. Entering above recent high/low points above/below the first impulse with a stop-limit order is a viable tactic. For contrarians fading a trend: The mid-point is a good point of reference for predicting potential areas of support/resistance.
อินดิเคเตอร์ Pine Script®
โดย DojiEmoji
6
Nearest Neighbor Extrapolation of Price [Loxx]I wasn't going to post this because I don't like how this calculates by puling in the Open price, but I'm posting it anyway. This does work in it's current form but there is a. better way to do this. I'll revisit this in the future. Anyway... The k-Nearest Neighbor algorithm (k-NN) searches for k past patterns (neighbors) that are most similar to the current pattern and computes the future prices based on weighted voting of those neighbors. This indicator finds only one nearest neighbor. So, in essence, it is a 1-NN algorithm. It uses the Pearson correlation coefficient between the current pattern and all past patterns as the measure of distance between them. Also, this version of the nearest neighbor indicator gives larger weights to most recent prices while searching for the closest pattern in the past. It uses a weighted correlation coefficient, whose weight decays linearly from newer to older prices within a price pattern. This indicator also includes an error window that shows whether the calculation is valid. If it's green and says "Passed", then the calculation is valid, otherwise it'll show a red background and and error message. Inputs Npast - number of past bars in a pattern; Nfut -number of future bars in a pattern (must be < Npast). lastbar - How many bars back to start forecast? Useful to show past prediction accuracy barsbark - This prevents Pine from trying to calculate on all past bars Related indicators Hodrick-Prescott Extrapolation of Price Itakura-Saito Autoregressive Extrapolation of Price Helme-Nikias Weighted Burg AR-SE Extra. of Price Weighted Burg AR Spectral Estimate Extrapolation of Price Levinson-Durbin Autocorrelation Extrapolation of Price Fourier Extrapolator of Price w/ Projection Forecast
อินดิเคเตอร์ Pine Script®
โดย loxx
5
Bollinger Bands Touch MapThis simple script based on Bollinger Bands to collect Touch Point at bandsand display them on the map. Detail of rule as below: 1.Define Touch Point 1.1.Touch Point at Lower Band + Key bar: - Open Price lower than BB lower band, Close Price higher than BB lower band + Touch Point: - Median Price (HL2) of Key bar 1.2.Touch Point at Upper Band + Key bar: - Open Price higher than BB upper band, Close Price lower than BB upper band + Touch Point: - Median Price (HL2) of Key bar 1.3.Zero Point - Close Price of Current bar =================================== 2.Touch Map + Last 5 Touch Point will be show on the map + Newest Touch point is numbered as (1) and show at the left of Zero Point + Each Point has a label show point's value =================================== 3.Fibonacci + Enable: Apply to number of Touch Points indicated + Style Up: 0 Level at the bottom + Style Down: 0 Level at the top =================================== 4.123 Pattern + Pattern: dot 2 and dot 3 at the Top and the Bottom of group 1234 + M Pattern: dot 3 at the Top of group 135 and at the Bottom of group 234 + W Pattern: dot 3 at the Bottom of group 135 and at the Top of group 234 =================================== 5.Supply Demand Zone 5.1.Supply Zone + Supply Zone is area map structure change from upward to downward + Supply Zone is limited by 2 dots highest before upward structure broken 5.2.Demand Zone + Demand Zone is area map structure change from downward to upward + Demand Zone is limited by 2 dots lowest before downward structure broken ============================================================================ 6.6.Over Block 6.1.Overbought Block + Overbought Block is location Long position covering + Ovb Block is limited by higest high and upper band at top of map 6.2.Oversold Block + Oversold Block is location Short position covering + Ovs Block is limited by lowest low and lower band at bottom of map =================================== 7.RSI Column + RSI Overbought is marked by Overbought color + RSI Oversold is marked by Oversold color + RSI Normal is marked by Normal color + Symbol ▲: RSI growing + Symbol ▼: RSI falling =================================== 8.Volume Direction + Volume growing is marked by Up Color + Volume falling is marked by Down Color + New Highest Volume on the map is marked by High Color and H Label + New Lowest Volume on the map is marked by Low Color and L Label + Volume higher than Median level is marked by Up Color and M Label =================================== 9.Useful features + Quickly find chart patter: 123, M, W... + Quickly find wave patter: I, V, N... + Quickly find Key level when moving between different Time Frame + Quickly recognize chart is trending or trendless + Quickly recognize divergence of Price and Volume + Quickly calculate Entry, Stoploss, Takeprofit by using Fibonacci
อินดิเคเตอร์ Pine Script®
โดย inno14
3
DafePatternsLibDafePatternLib: The Adaptive Pattern Recognition Engine DafePatternLib is not a static pattern library. It is an adaptive recognition engine. It doesn't just find patterns; it tracks, weights, and filters them based on their performance in the live market. █ CHAPTER 1: THE PHILOSOPHY — BEYOND STATIC RULES, INTO DYNAMIC LEARNING For decades, chart pattern analysis has been trapped in a rigid paradigm. An indicator coded to find a "Bullish Engulfing" will signal that pattern with the same confidence every time, regardless of whether it has been failing consistently for weeks. It has no memory and no ability to adapt. DafePatternLib was created to change this. It is built on a performance-based reinforcement framework. This library is not just a collection of detection functions; it is a self-weighting logic system. It tracks outcomes. It remembers what works. Over time, it amplifies the signals of high-probability patterns and filters out those that are failing in the current market regime. This is not a black box. It is an open-source, observable learning system. It strengthens and weakens its own internal weights based on positive and negative feedback, evolving into a tool adapted to the specific asset you are trading. █ CHAPTER 2: CORE INNOVATIONS This library introduces several advanced concepts for algorithmic analysis: Reinforcement Learning Engine: The core of the system. Every high-confidence pattern is logged into "Active Memory." The library tracks the outcome against projected stops and targets. If successful, the weight for that pattern category is strengthened. If it fails, the weight is reduced. This creates a continuous feedback loop. Adaptation Rate (Plasticity): You have direct control over the engine's "plasticity"—its ability to learn. High plasticity allows fast adaptation to new conditions; lower plasticity creates a stable, long-term model. Dynamic Volatility Scaling (DVS): Markets breathe. DVS is a proprietary function that calculates a real-time volatility scalar by comparing current ATR to historical averages. This scalar automatically adjusts lookback periods and sensitivities. In high volatility, engines look for larger structures; in low volatility, they tighten focus. Smart Confidence Score: The output is not a simple "true/false." Every pattern includes two scores: • Raw Confidence: Static confidence based on the pattern's textbook definition. • Net Confidence: The adaptive score (Raw Confidence × Learned Bias). A performing pattern sees its confidence boosted; a failing pattern gets penalized. Intelligent Filtering: If the learned bias for a category (e.g., "Candle") drops below a threshold (e.g., 0.8), the library automatically filters those signals, treating them as low-probability noise until performance improves. █ CHAPTER 3: ANATOMY OF THE LOGIC — HOW IT THINKS The LogicWeights (The Core) The central data structure holding the system's "memory." It stores a floating-point weight or "bias" for each of the five major categories (Candle, Harmonic, Structure, Geometry, VSA). Initialized at 1.0 (neutral). update_core() (The Learning Process) The heart of the reinforcement loop. When a pattern resolves (win/loss), this function applies a positive or negative adjustment to the corresponding category weight. Weights are constrained between 0.5 (distrust) and 2.0 (trust). manage_memory() (Short-Term Memory) Maintains an array of active signals. On every bar, it checks if targets or stops have been hit. Resolved patterns trigger update_core(). Unresolved patterns eventually expire, applying a minor penalty to discourage stagnation. scan_pattern_universe() (Master Controller) The main exported function. On every bar, it: Calculates the Dynamic Volatility Scalar (DVS). Runs all pattern detection engines (VSA, Geometry, Candles, etc.) adapted to DVS. Identifies the single best pattern based on raw confidence. Passes it to memory for tracking. Applies the learned bias to calculate Net Confidence. Returns the final, adaptively weighted PatternResult. █ CHAPTER 4: DEVELOPER INTEGRATION GUIDE Designed for simplicity and power. 1. Import the Library: import DskyzInvestments/DafePatternLib/1 as pattern 2. Call the Scanner: The library handles DVS, scanning, memory, and learning internally. pattern.PatternResult signal = pattern.scan_pattern_universe() 3. Use the Result: if signal.is_active label.new(bar_index, signal.entry, "Conf: " + str.tostring(signal.net_confidence, "#") + "%") With just these lines, you integrate a self-weighting, multi-pattern recognition engine. █ INPUTS TEMPLATE (COPY INTO YOUR SCRIPT) // ═══════════════════════════════════════════════════════════ // INPUT GROUPS // ═══════════════════════════════════════════════════════════ string G_AI_ENGINE = "══════════ 🧠 LOGIC ENGINE ══════════" string G_AI_PATTERNS = "══════════ 🔬 PATTERN SELECTION ══════════" string G_AI_VISUALS = "══════════ 🎨 VISUALS & SIGNALS ══════════" string G_AI_DASH = "══════════ 📋 LOGIC STATE DASHBOARD ══════════" string G_AI_ALERTS = "══════════ 🔔 ALERTS ══════════" // ═══════════════════════════════════════════════════════════ // LOGIC ENGINE CONTROLS // ═══════════════════════════════════════════════════════════ bool i_enable_ai = input.bool(true, "✨ Enable Adaptive Engine", group = G_AI_ENGINE, tooltip="Master switch to enable the pattern recognition and learning system.") float i_plasticity = input.float(0.03, "Adaptation Rate", minval=0.01, maxval=0.1, step=0.01, group = G_AI_ENGINE, tooltip="Controls adaptation speed.\n• Low (0.01-0.02): Stable learning.\n• Medium (0.03-0.05): Balanced.\n• High (0.06+): Fast adaptation.") float i_filter_threshold = input.float(0.8, "Adaptive Filter Threshold", minval=0.5, maxval=1.0, step=0.05, group = G_AI_ENGINE, tooltip="Hide signals from categories with a learned bias below this value.") // ═══════════════════════════════════════════════════════════ // PATTERN SELECTION // ═══════════════════════════════════════════════════════════ bool i_scan_candles = input.bool(true, "🕯️ Candlestick Patterns", group = G_AI_PATTERNS, inline="row1") bool i_scan_vsa = input.bool(true, "📦 Volume Spread Analysis", group = G_AI_PATTERNS, inline="row1") bool i_scan_geometry = input.bool(true, "📐 Geometric Patterns", group = G_AI_PATTERNS, inline="row2") bool i_scan_structure = input.bool(true, "📈 Market Structure (SMC)", group = G_AI_PATTERNS, inline="row2") bool i_scan_harmonic = input.bool(false, "🦋 Harmonic Setups", group = G_AI_PATTERNS, inline="row3") // ═══════════════════════════════════════════════════════════ // VISUALS & DASHBOARD // ═══════════════════════════════════════════════════════════ bool i_show_signals = input.bool(true, "Show Signals", group = G_AI_VISUALS) bool i_show_dashboard = input.bool(true, "Show Logic Dashboard", group = G_AI_DASH) █ DEVELOPMENT PHILOSOPHY DafePatternLib was born from a vision to bring dynamic logic to technical analysis. We believe an indicator should not be a static tool, but an intelligent partner that adapts. This library is an open-source framework empowering developers to build the next generation of smart indicators. █ DISCLAIMER • LIBRARY FOR DEVELOPERS: This script produces no visual output on its own. It is an engine for developers. • ADAPTIVE, NOT PREDICTIVE: Reinforcement learning optimizes based on recent history. It is a statistical edge, not a crystal ball. • RISK WARNING: Patterns and confidence scores are for informational purposes. "The key to trading success is emotional discipline. If intelligence were the key, there would be a lot more people making money trading." — Victor Sperandeo Create with DAFE.
ไลบรารี Pine Script®
โดย DskyzInvestments
Gold AI: Hyper-Frequency 1minute Scalper The Gold AI: Hyper-Frequency is a high-precision scalping tool specifically engineered for the unique volatility of XAUUSD on lower timeframes (1m, 5m). Unlike traditional lagging indicators, this script utilizes a Lorentzian Distance Classifier —a machine learning approach that finds historical price fractals similar to current market conditions to predict the next high-probability move. This indicator is designed for "Hyper-Frequency" trading, meaning it prioritizes capturing multiple micro-moves while using a three-stage Dynamic Take Profit system to let "runners" extend during strong momentum bursts. █ THE AI CORE: LORENTZIAN CLASSIFICATION Instead of standard Euclidean distance, this script employs Lorentzian Distance . This metric is superior for financial time series because it is less sensitive to extreme outliers, allowing the AI to identify patterns in "noisy" 1-minute gold charts that other models might miss. The AI evaluates three key "features" to find matches: 1 — RSI (7): Momentum and overbought/oversold status. 2 — MFI (7): Money Flow Index to track institutional volume. 3 — ROC (3): Rate of Change to detect immediate velocity. █ DYNAMIC PROFIT SCALING To solve the "Gold Problem"—where price often spikes past targets or reverses instantly—we implemented a 3-Stage Profit Extender: • Stage 1 (Initial TP): Targets a quick scalp (default 1.0 ATR). • Stage 2 (Extension): If momentum remains strong, the TP is automatically pushed further. The Stop Loss moves to Breakeven at this stage. • Stage 3 (Moonshot): For high-velocity moves, the TP extends to a major multiplier while the Stop Loss trails the previous candle's high/low. █ KEY FEATURES • K-Neighbors Engine: Analyzes the 'K' most similar historical instances to generate buy/sell "votes." • Sensitivity Control: Adjust how strictly the AI matches patterns. Lower values = higher accuracy; higher values = more frequent trades. • Volatility Filter (ATR): All targets and stops are mathematically pegged to current volatility, ensuring the script adapts whether the market is quiet or explosive. • Volume Gatekeeper: Filters out "fake-outs" that occur on low-volume retail spikes. █ HOW TO USE Asset: Optimized for XAUUSD (Gold). Timeframe: Best performance on 1m or 5m charts. Session: High-frequency signals are most reliable during London and New York sessions. Confirmation: For maximum safety, enable the "Filter by 200 EMA" in settings to only take trades in the direction of the macro trend. Disclaimer: Trading Gold involves high risk. This AI tool is designed to assist in decision-making and pattern recognition. Always perform your own due diligence and use proper risk management. Past performance does not guarantee future results.
อินดิเคเตอร์ Pine Script®
โดย YuvarajNg
Dynamic Strike Selection Indicator [ARJO]Dynamic Strike Selection Indicator OVERVIEW The Dynamic Strike Selection Indicator is a visual analysis tool designed for traders observing NSE (National Stock Exchange of India) instruments, particularly those interested in options. It displays a trend-based oscillator in the lower chart pane and automatically calculates option strike prices , presenting them in an easy-to-read table. The indicator helps users observe trend changes and understand how option strikes might be selected based on current market conditions. IT has a dashboard that shows you: Where the trend might be heading (through the oscillator) What option strikes align with the current price level When trend transitions occurred CONCEPTS This indicator combines several technical analysis concepts in a beginner-friendly format: 1. Trend Observation (Chandelier Exit) The indicator uses a method called "Chandelier Exit" which observes price volatility to identify potential trend directions. When the indicator shows green, it suggests an upward trend pattern; red suggests a downward pattern. These are reference points, not predictions. 2. Smoothed Price Movement Raw price data can be noisy. This indicator applies mathematical smoothing (called "Ehlers 2-Pole filter") to reduce short-term fluctuations, making it easier to observe the underlying trend direction. 3. Momentum Oscillator The oscillator (displayed as bars and lines in the lower pane) shows the difference between smoothed price and its moving average. Positive values suggest upward momentum; negative values suggest downward momentum . This is similar to how MACD or LBR works. 4. Strike Price Calculation For option traders , the indicator automatically calculates: ATM (At-The-Money): The strike price closest to the current underlying price OTM (Out-of-The-Money): Strike prices at a distance from ATM, based on your settings These calculations use standard rounding methods based on each instrument's official strike interval. FEATURES Visual Components: Color-Coded Oscillator: Green/teal for potential uptrend, purple/red for potential downtrend Histogram Display: Visual bars showing momentum strength Chandelier Exit Lines: Plotted on the main price chart as reference levels Information Table: Displays calculated strikes, timestamps, and optional tracking data Supported Instruments: Major indices: NIFTY, BANKNIFTY Popular stocks: RELIANCE, HDFCBANK, ICICIBANK, INFY, TCS, SBIN, and more Any NSE instrument (using manual strike interval setting) Flexible Configuration: Choose between "Sell Mode" and "Buy Mode" perspectives Customize strike interval for any instrument Adjust sensitivity of trend detection Modify visual appearance (colors, table position, text size) Track entry prices and observe P&L calculations (for reference only) Features: Automatic strike interval detection for predefined instruments Manual override option for custom requirements Real-time option premium fetching (where available) Timestamp recording of trend transitions Active trade highlighting based on current trend HOW TO USE Step 1: Adding the Indicator Open your TradingView chart with an NSE instrument (e.g., NIFTY, BANKNIFTY, or any stock) Search for " Dynamic Strike Selection Indicator " in the Indicators menu Click to add it to your chart You'll see an oscillator appear in a pane below your price chart and a table in the corner Step 2: Basic Settings Click the settings (gear icon) on the indicator. Here are the key settings to understand: Symbol Settings: Symbol Source: Keep it on " Use Chart Symbol " to analyze whatever instrument is on your chart Custom Symbol: Only change if you want to analyze a different instrument while viewing another chart Expiry Date: Set the expiry date of the option contracts you're observing Use the dropdown menus for Day, Month, and Year Example: For 30th January 2025, select Day: 30, Month: 01, Year: 25 Trade Entry (Optional): Trade Mode: Choose "Sell" or "Buy" based on your observation perspective Lot Size: Enter your intended lot size for P&L calculation reference PUT/CALL Entry Price: Manually enter prices if you want to track reference P&L OTM Strike Distance: Default is 4 (means 4 strikes away from ATM) Increase for further OTM strikes, decrease for closer strikes Step 3: Understanding the Display The Oscillator (Lower Pane): Green/Teal Bars: Suggest bullish momentum characteristics Purple/Red Bars: Suggest bearish momentum characteristics Zero Line: The reference point - above suggests strength, below suggests weakness Color Change: When the oscillator changes from red to green (or vice versa), it indicates a potential trend transition Active Row Highlighting: In Sell Mode: Green background on PUT row during uptrend, Red background on CALL row during downtrend In Buy Mode: Green background on PUT row during downtrend, Red background on CALL row during uptrend This helps you observe which strike aligns with the current trend direction Visual Customization: Change oscillator colors under "Color Settings" Adjust table position, size, and transparency under "Table Settings" Modify table colors to match your chart theme NOTES FOR BEGINNERS Start Simple: Use default settings first. Don't change too many parameters initially. Paper Trade First: Observe the indicator for several days before considering any real trades. Note how often trend transitions occur and how strikes align. Understand Your Instrument: Know the strike interval for your chosen stock/index. NIFTY/BANKNIFTY use 100, most stocks use 10, 20, or 50. Timeframe Matters: The indicator behaves differently on different timeframes. A 5-minute chart will show more transitions than a 1-hour chart. Use with Other Analysis: This indicator is one tool among many. Combine with price action, support/resistance, and volume analysis. Don't Chase: Just because a transition occurs doesn't mean you must act. Observe the quality of the move. Backtest Observations: Use TradingView's replay feature to observe how the indicator performed historically. CONCLUSION The Dynamic Strike Selection Indicator serves as an educational tool for observing trend-based oscillator patterns and understanding how option strikes might be mathematically selected based on current market conditions. It combines visual trend analysis with structured strike price calculations, helping users study the relationship between momentum patterns and option strike references. The indicator is designed to enhance chart interpretation skills and provide transparency into strike selection methodologies. It does not predict future price movements or guarantee any outcomes. Users are encouraged to use it as one component of a broader analytical approach, always conducting independent research and maintaining realistic expectations about market analysis tools. DISCLAIMER This indicator is strictly for educational and analytical observation purposes. It is NOT a trading system, signal generator, or financial advisory service. What This Indicator Does NOT Do: Does not predict future price movements with certainty Does not guarantee profitable trades or outcomes Does not constitute financial, investment, or trading advice Does not replace the need for independent research and analysis Does not eliminate trading risks or ensure success What You Must Understand: All calculated strikes, P&L values, and trend observations are informational references only Option trading involves substantial risk and can result in complete loss of invested capital Past indicator performance does not predict future results Trend transitions shown are historical observations, not predictions The "active" highlighting is a visual reference tool, not a trade recommendation Conduct thorough independent research before taking any trading decision. and consult qualified, licensed financial professionals for personalized advice. The creator of this indicator is not a registered investment advisor, broker, or financial planner. This tool is provided "as is" without warranties of any kind. By using this indicator, you acknowledge that you understand these risks and limitations, and you agree that all trading decisions and their consequences are solely your responsibility. If you do not fully understand these risks or are unsure about options trading, do not use this indicator for live trading .
อินดิเคเตอร์ Pine Script®
โดย ARJO_2019
Inside/Outside Bars--- Inside/Outside Bars Detector This indicator identifies and visualizes Inside Bars and Outside Bars (Engulfing Bars) on your chart, helping traders spot potential breakout and consolidation patterns. What are Inside/Outside Bars? • Outside Bars (Outer Bars): Candles that break BOTH the high AND low of the previous candle. These represent periods of increased volatility and potential trend continuation or reversal. Marked with red triangle arrows by default. • Inside Bars (Inner Bars): Candles where NEITHER the high NOR low breaks the previous candle's range. These represent consolidation and often precede significant price moves. Marked with orange triangle arrows by default. Features: ✓ Visual arrows above bars for easy identification ✓ Fixed pixel-size arrows that remain visible at any chart zoom level ✓ Statistics table showing counts of outer bars, inner bars, and total bars analyzed ✓ Fully customizable with multiple settings Customization Options: • Toggle outer bars and inner bars independently • Customize arrow colors for each pattern • Show/hide the statistics table • Adjust calculation bars (1000 default, max 5000) • Set to 0 to analyze all available bars up to 5000 How to Use: Inside bars often indicate consolidation before a breakout, while outside bars suggest increased volatility and potential momentum shifts. Use these patterns in conjunction with your trading strategy to identify entry/exit points or to confirm trend direction. ---
อินดิเคเตอร์ Pine Script®
โดย g_munkhzul