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Ehlers Loops [BigBeluga]The Ehlers Loops indicator is based on the concepts developed by John F. Ehlers, which provide a visual representation of the relationship between price and volume dynamics. This tool helps traders predict future market movements by observing how price and volume data interact within four distinct quadrants of the loop, each representing different combinations of price and volume directions. The unique structure of this indicator provides insights into the strength and direction of market trends, offering a clearer perspective on price behavior relative to volume. 🔵 KEY FEATURES & USAGE ● Four Price-Volume Quadrants: The Ehlers Loops chart consists of four quadrants: +Price & +Volume (top-right) – Typically indicates a bullish continuation in the market. -Price & +Volume (bottom-right) – Generally shows a bearish continuation. +Price & -Volume (top-left) – Typically indicates an exhaustion of demand with a potential reversal. -Price & -Volume (bottom-left) – Indicates exhaustion of supply and near trend reversal. By watching how symbols move through these quadrants over time, traders can assess shifts in momentum and volume flow. ● Price and Volume Scaling in Standard Deviations: Both price and volume data are individually filtered using HighPass and SuperSmoother filters, which transform them into band-limited signals with zero mean. This scaling allows traders to view data in terms of its deviation from the average, making it easier to spot abnormal movements or trends in both price and volume. ● Loops Trajectories with Tails: The loops draw a trail of price and volume dynamics over time, allowing traders to observe historical price-volume interactions and predict future movements based on the curvature and direction of the rotation. ● Price & Volume Histograms: On the right side of the chart, histograms for each symbol provide a summary of the most recent price and volume values. These histograms allow traders to easily compare the strength and direction of multiple assets and evaluate market conditions at a glance. ● Flexible Symbol Display & Customization: Traders can select up to five different symbols to be displayed within the Ehlers Loops. The settings also allow customization of symbol size, colors, and visibility of the histograms. Additionally, traders can adjust the LPPeriod and HPPeriod to change the smoothness and lag of the loops, with a shorter LPPeriod offering more responsiveness and a longer HPPeriod emphasizing longer-term trends. 🔵 USAGE 🔵 SETTINGS Low pass Period: default is 10 to obtain minimum lag with just a little smoothing. High pass Period: default is 125 (half of the year if Daily timeframe) to capture the longer term moves. 🔵 CONCLUSION The Ehlers Loops indicator offers a visually rich and highly customizable way to observe price and volume dynamics across multiple assets. By using band-limited signals and scaling data into standard deviations, traders gain a powerful tool for identifying market trends and predicting future movements. Whether you're tracking short-term fluctuations or long-term trends, Ehlers Loops can help you stay ahead of the market by offering key insights into the relationship between price and volume.
مؤشرات Pine Script™
من ‎BigBeluga‎
25
Distance between EMA 50-100/100-150This script calculates and plots the percentage difference between the 50-period, 100-period, and 150-period Exponential Moving Averages (EMA) on a TradingView chart. The aim is to provide a clear visual representation of the market's momentum by analyzing the distance between key EMAs over time. Key features of this script: 1. EMA Calculation : The script computes the EMA values for 50, 100, and 150 periods and calculates the percentage difference between EMA 50 and 100, and between EMA 100 and 150. 2. Custom Threshold : Users can adjust a threshold percentage to highlight significant divergences between the EMAs. A default threshold is set to 0.1%. 3. Visual Alerts : When the percentage difference exceeds the threshold, a visual marker appears on the chart: Green Circles for bullish momentum (positive divergence), Red Circles for bearish momentum (negative divergence), Diamonds to indicate the first occurrence of new bullish or bearish signals, allowing users to catch fresh market trends. 4. Dynamic Plotting : The script plots two lines representing the percentage difference for each EMA pair, offering a quick and intuitive way to monitor trends. Ideal for traders looking to gauge market direction using the relationship between multiple EMAs, this script simplifies analysis by focusing on key moving average interactions.
مؤشرات Pine Script™
من ‎nitscode020‎
RSI Weighted Trend System I [InvestorUnknown]The RSI Weighted Trend System I is an experimental indicator designed to combine both slow-moving trend indicators for stable trend identification and fast-moving indicators to capture potential major turning points in the market. The novelty of this system lies in the dynamic weighting mechanism, where fast indicators receive weight based on the current Relative Strength Index (RSI) value, thus providing a flexible tool for traders seeking to adapt their strategies to varying market conditions. Dynamic RSI-Based Weighting System The core of the indicator is the dynamic weighting of fast indicators based on the value of the RSI. In essence, the higher the absolute value of the RSI (whether positive or negative), the higher the weight assigned to the fast indicators. This enables the system to capture rapid price movements around potential turning points. Users can choose between a threshold-based or continuous weight system: Threshold-Based Weighting: Fast indicators are activated only when the absolute RSI value exceeds a user-defined threshold. Below this threshold, fast indicators receive no weight. Continuous Weighting: By setting the weight threshold to zero, the fast indicators always receive some weight, although this can result in more false signals in ranging markets. // Calculate weight for Fast Indicators based on RSI (Slow Indicator weight is kept to 1 for simplicity) f_RSI_Weight_System(series float rsi, simple float weight_thre) => float fast_weight = na float slow_weight = na if weight_thre > 0 if math.abs(rsi) <= weight_thre fast_weight := 0 slow_weight := 1 else fast_weight := 0 + math.sqrt(math.abs(rsi)) slow_weight := 1 else fast_weight := 0 + math.sqrt(math.abs(rsi)) slow_weight := 1 Slow and Fast Indicators Slow Indicators are designed to identify stable trends, remaining constant in weight. These include: DMI (Directional Movement Index) For Loop CCI (Commodity Channel Index) For Loop Aroon For Loop Fast Indicators are more responsive and designed to spot rapid trend shifts: ZLEMA (Zero-Lag Exponential Moving Average) For Loop IIRF (Infinite Impulse Response Filter) For Loop Each of these indicators is calculated using a for-loop method to generate a moving average, which captures the trend of a given length range. RSI Normalization To facilitate the weighting system, the RSI is normalized from its usual 0-100 range to a -1 to 1 range. This allows for easy scaling when calculating weights and helps the system adjust to rapidly changing market conditions. // Normalize RSI (1 to -1) f_RSI(series float rsi_src, simple int rsi_len, simple string rsi_wb, simple string ma_type, simple int ma_len) => output = switch rsi_wb "RAW RSI" => ta.rsi(rsi_src, rsi_len) "RSI MA" => ma_type == "EMA" ? (ta.ema(ta.rsi(rsi_src, rsi_len), ma_len)) : (ta.sma(ta.rsi(rsi_src, rsi_len), ma_len)) Signal Calculation The final trading signal is a weighted average of both the slow and fast indicators, depending on the calculated weights from the RSI. This ensures a balanced approach, where slow indicators maintain overall trend guidance, while fast indicators provide timely entries and exits. // Calculate Signal (as weighted average) sig = math.round(((DMI*slow_w) + (CCI*slow_w) + (Aroon*slow_w) + (ZLEMA*fast_w) + (IIRF*fast_w)) / (3*slow_w + 2*fast_w), 2) Backtest Mode and Performance Metrics This version of the RSI Weighted Trend System includes a comprehensive backtesting mode, allowing users to evaluate the performance of their selected settings against a Buy & Hold strategy. The backtesting includes: Equity calculation based on the signals generated by the indicator. Performance metrics table comparing Buy & Hold strategy metrics with the system’s signals, including: Mean, positive, and negative return percentages, Standard deviations (of all, positive and negative returns), Sharpe Ratio, Sortino Ratio, and Omega Ratio f_PerformanceMetrics(series float base, int Lookback, simple float startDate, bool Annualize = true) => // Initialize variables for positive and negative returns pos_sum = 0.0 neg_sum = 0.0 pos_count = 0 neg_count = 0 returns_sum = 0.0 returns_squared_sum = 0.0 pos_returns_squared_sum = 0.0 neg_returns_squared_sum = 0.0 // Loop through the past 'Lookback' bars to calculate sums and counts if (time >= startDate) for i = 0 to Lookback - 1 r = (base - base ) / base returns_sum += r returns_squared_sum += r * r if r > 0 pos_sum += r pos_count += 1 pos_returns_squared_sum += r * r if r < 0 neg_sum += r neg_count += 1 neg_returns_squared_sum += r * r float export_array = array.new_float(12) // Calculate means mean_all = math.round((returns_sum / Lookback) * 100, 2) mean_pos = math.round((pos_count != 0 ? pos_sum / pos_count : na) * 100, 2) mean_neg = math.round((neg_count != 0 ? neg_sum / neg_count : na) * 100, 2) // Calculate standard deviations stddev_all = math.round((math.sqrt((returns_squared_sum - (returns_sum * returns_sum) / Lookback) / Lookback)) * 100, 2) stddev_pos = math.round((pos_count != 0 ? math.sqrt((pos_returns_squared_sum - (pos_sum * pos_sum) / pos_count) / pos_count) : na) * 100, 2) stddev_neg = math.round((neg_count != 0 ? math.sqrt((neg_returns_squared_sum - (neg_sum * neg_sum) / neg_count) / neg_count) : na) * 100, 2) // Calculate probabilities prob_pos = math.round((pos_count / Lookback) * 100, 2) prob_neg = math.round((neg_count / Lookback) * 100, 2) prob_neu = math.round(((Lookback - pos_count - neg_count) / Lookback) * 100, 2) // Calculate ratios sharpe_ratio = math.round(mean_all / stddev_all * (Annualize ? math.sqrt(Lookback) : 1), 2) sortino_ratio = math.round(mean_all / stddev_neg * (Annualize ? math.sqrt(Lookback) : 1), 2) omega_ratio = math.round(pos_sum / math.abs(neg_sum), 2) // Set values in the array array.set(export_array, 0, mean_all), array.set(export_array, 1, mean_pos), array.set(export_array, 2, mean_neg), array.set(export_array, 3, stddev_all), array.set(export_array, 4, stddev_pos), array.set(export_array, 5, stddev_neg), array.set(export_array, 6, prob_pos), array.set(export_array, 7, prob_neu), array.set(export_array, 8, prob_neg), array.set(export_array, 9, sharpe_ratio), array.set(export_array, 10, sortino_ratio), array.set(export_array, 11, omega_ratio) // Export the array export_array The metrics help traders assess the effectiveness of their strategy over time and can be used to optimize their settings. Calibration Mode A calibration mode is included to assist users in tuning the indicator to their specific needs. In this mode, traders can focus on a specific indicator (e.g., DMI, CCI, Aroon, ZLEMA, IIRF, or RSI) and fine-tune it without interference from other signals. The calibration plot visualizes the chosen indicator's performance against a zero line, making it easy to see how changes in the indicator’s settings affect its trend detection. Customization and Default Settings Important Note: The default settings provided are not optimized for any particular market or asset. They serve as a starting point for experimentation. Traders are encouraged to calibrate the system to suit their own trading strategies and preferences. The indicator allows deep customization, from selecting which indicators to use, adjusting the lengths of each indicator, smoothing parameters, and the RSI weight system. Alerts Traders can set alerts for both long and short signals when the indicator flips, allowing for automated monitoring of potential trading opportunities.
مؤشرات Pine Script™
من ‎InvestorUnknown‎
3
Normalized Linear Regression (LSMA) OscillatorNormalized Linear Regression (LSMA) Oscillator By Nathan Farmer The Normalized LSMA Oscillator is a trend-following indicator that enhances the classic Linear Regression (LSMA) by applying a range of normalization techniques. This indicator allows traders to smooth out and normalize LSMA signals for better trend detection and dynamic market adaptation. Key Features: Configurable Normalization Methods: This indicator offers several normalization techniques, such as Z-Score, Min-Max, Mean Normalization, Robust Scaler, Logistic Function, and Quantile Transformation. Each method helps in refining LSMA outputs to improve clarity in both trending and ranging market conditions. Smoothing Options: Smoothing can be applied after normalization, helping to reduce noise in the signals, thus making trend-following strategies that use this indicator more effective. Recommended Settings: Logistic Function Normalization: Recommended length of around 12, based on my preferred signal frequency. Z-Score Normalization: Medium period (close to the default of 50), based on my preferred signal frequency. Min-Max Normalization: Medium period, based on my preferred signal frequency. Mean Normalization: Medium period, based on my preferred signal frequency. Robust Scaler: Medium period, based on my preferred signal frequency. Quantile Transformation: Medium period, based on my preferred signal frequency. Usage: Designed primarily for trend-following strategies, this indicator adapts well to varying market conditions. Traders can experiment with the various normalization and smoothing settings to match the indicator to their specific needs and market preferences. Recommendation before usage: Always backtest the indicator for yourself with respect to how you intend to use it. Modify the parameters to suit your needs, over your preferred time frame, on your preferred asset. My preferences are for the assets I happened to be looking at when I made this indicator. Odds are, you're looking at something else, over a different time frame, in a different market environment than what my settings are tailored for.
مؤشرات Pine Script™
من ‎nathanfarmer‎
ICT Panther (By Obicrypto) V1 ICT Panther Indicator: Full and Detailed Description The ICT Panther Indicator, created by Obicrypto, is an advanced technical analysis tool designed specifically for traders looking to identify key price action events based on institutional trading techniques, particularly in the context of the Inner Circle Trader (ICT) methodology. This indicator helps traders spot market structure breaks, order blocks, and potential trade opportunities driven by institutional behaviors in the market. Here's a detailed breakdown of its features and how it works: What Does the ICT Panther Indicator Do? 1. Market Structure Breaks (MSB) Identification: The ICT Panther identifies critical points where the market changes direction, commonly referred to as a break of structure (BoS). When the price breaks above or below certain key levels (based on highs and lows or opens and closes), it signals a potential shift in market sentiment. These break-of-structure points are essential for traders to determine whether the market is likely to continue its trend or reverse. 2. Order Blocks Visualization: The indicator plots demand (bullish) and supply (bearish) boxes, which represent areas where institutional traders might place significant buy or sell orders. These zones, known as order blocks, are areas where the price tends to pause or reverse, giving traders key insights into potential entry and exit points. The indicator shows these areas graphically as colored boxes on the chart, which can be used to plan trades based on market structure and price action. 3. Pivot Point Detection: The ICT Panther identifies important pivot points by tracking higher highs and lower lows. These pivot points are critical in determining the strength of a trend and can help traders confirm the direction of the market. The indicator uses a unique algorithm to detect two levels of pivot points: - First-Order Pivots: Major pivot points where the price makes notable highs and lows. - Second-Order Pivots: Smaller pivot points, useful for detecting microtrends within the larger market structure. 4. Bullish and Bearish Break of Structure Lines: When a significant market structure break (BoS) occurs, the indicator will automatically draw red lines (for bearish break of structure) and green lines (for bullish break of structure) at key price levels. These lines help traders quickly see where institutional moves have occurred in the past and where potential future price moves could originate from. 5. Tested and Filled Boxes: The ICT Panther also has a built-in mechanism to dim previously tested order blocks. When the price tests an order block (returns to a previous demand or supply zone), the box's color dims to indicate that the area has already been tested, reducing its significance. If the price fully fills an order block, the box stops plotting, providing a clear and clutter-free chart. Key Features 1. Market Structure Break (MSB) Trigger: - The indicator allows users to select between highs/lows or opens/closes as the trigger for market structure breaks. This flexibility lets traders adjust the indicator to suit their personal trading style or the behavior of specific assets. 2. Order Block Detection and Visualization: - The tool automatically plots bullish and bearish demand and supply boxes, representing institutional order blocks on the chart. These boxes provide visual cues for areas of potential price action, where institutional traders might be active. 3. Second-Order Pivot Highlighting: - The ICT Panther offers an option to plot second-order pivots, highlighting smaller pivot points within the larger market structure. These pivots can be helpful for short-term traders who need to react to smaller price movements while still keeping the larger trend in mind. 4. Box Test and Fill Delays: - Users can configure delays for box tests and box fills, meaning the indicator will only mark a box as tested or filled after a certain number of bars. This prevents false signals and helps confirm that a zone is truly significant in the market. 5. Customization and Visual Clarity: - The indicator is highly customizable, allowing users to turn on or off various features like: - Displaying second-order pivots. - Highlighting candles that broke structure. - Plotting market structure broke lines. - Showing or hiding tested and filled demand boxes. - Setting custom delays for box testing and filling to suit different market conditions. 6. Tested and Filled Order Block Visualization: - The indicator visually adjusts the tested and filled order blocks, dimming tested zones and removing filled zones to avoid clutter on the chart. This ensures that traders can focus on active trading opportunities without distractions from historical data. How Does It Work? 1. Detecting Market Structure Breaks (BoS): - The indicator continuously tracks the market for key price action signals. When the price breaks through previous highs or lows (or opens and closes, depending on your selection), the indicator marks this as a break of structure. This is a critical signal used by institutional traders and retail traders alike to determine potential future price movements. 2. Order Block Identification: - Whenever a bullish break of structure occurs, the indicator plots a green demand box to show the area where institutional buyers might have placed significant orders. Similarly, for a bearish break of structure, it plots a red supply box representing areas where institutional sellers are active. 3. Pivot Analysis and Tracking: - As the market moves, the indicator continuously updates first-order and second-order pivot points based on highs and lows. These points help traders identify whether the market is trending or consolidating. Traders can use these pivot points in combination with the order blocks to make informed trading decisions. 4. Box Testing and Filling: - When the price retests an existing order block, the box dims to show it has been tested. If the price fully fills the box, it is no longer shown, which helps traders focus on the most relevant, untested order blocks. Benefits for Traders - Improved Decision-Making: With clear visuals and advanced logic based on institutional trading strategies, this indicator provides a deeper understanding of market structure and price action. - Reduced Clutter: The indicator intelligently manages the display of order blocks and pivot points, ensuring that traders focus only on the most relevant information. - Adaptability: Whether you are a swing trader or a day trader, the ICT Panther can be adjusted to fit your trading style, offering robust and flexible tools for tracking market structure and order blocks. - Institutional Edge: By identifying institutional-level order blocks and market structure breaks, traders using this indicator can trade in line with the strategies of large market participants. Who Should Use the ICT Panther Indicator? This indicator is ideal for: - Crypto, Forex, and Stock Traders who want to incorporate institutional trading concepts into their strategies. - Technical Analysts looking for precise tools to measure the market structure and price action. - ICT Traders who follow the Inner Circle Trader methodology and want an advanced tool to automate and enhance their analysis. - Price Action Traders seeking a reliable indicator to track pivot points, order blocks, and market structure breaks. The ICT Panther Indicator is a powerful, versatile tool that brings institutional trading techniques to the fingertips of retail traders. Whether you are looking to identify key market structure breaks, order blocks, or crucial pivot points, this indicator offers detailed visualizations and customizable options to help you make more informed trading decisions. With its ability to track the activities of institutional traders, the ICT Panther Indicator equips traders with the insights needed to stay ahead of the market and trade with confidence. With the ICT Panther Indicator, traders can follow the movements of institutional money, making it easier to predict market direction and capitalize on high-probability trading opportunities. Enjoy it and share it with your friends!
مؤشرات Pine Script™
من ‎obicrypto‎
1
Multiple SMA, EMA, and VWAP CrossoversMultiple SMA, EMA, and VWAP Crossovers with Alerts Overview : The "Multiple SMA, EMA, and VWAP Crossovers" script is designed for traders who want to monitor various simple moving averages (SMAs), exponential moving averages (EMAs), and the volume-weighted average price (VWAP) to identify potential buy and sell opportunities. This script allows you to visualize key moving averages on your chart and create custom alerts for specific crossover events. Detail s: This script plots the following moving averages: Simple Moving Averages (SMA): 5, 10, 20, 50, 100, 200, and 325 periods Exponential Moving Average (EMA): 9 periods Volume-Weighted Average Price (VWAP) It includes options to display these moving averages and set alerts for their crossovers. Available Crossovers: 20/50 SMA, 20/100 SMA, 20/200 SMA, 20/325 SMA 50/100 SMA, 50/200 SMA, 50/325 SMA 100/200 SMA, 100/325 SMA 200/325 SMA VWAP/20 SMA, VWAP/50 SMA, VWAP/100 SMA, VWAP/200 SMA, VWAP/325 SMA Optional Lines to Add to the Chart: 9 EMA, 5 SMA, 10 SMA, 20 SMA, 50 SMA, 100 SMA, 200 SMA, 325 SMA, VWAP How to Use: Enable Indicators: Use the input options to select which SMAs, EMA, and VWAP you want to display on your chart. Set Alerts: Choose the specific crossover events you want to monitor. For example, you can set an alert for the 20/50 SMA crossover or the VWAP/100 SMA crossover. Monitor the Chart: The script will plot the selected moving averages on your chart. When a selected crossover event occurs, an alert will be triggered, notifying you of the potential trade opportunity. Usage Tips: Trending Market: Use the buy and sell alerts in trending markets where the moving averages can help confirm the direction of the trend. Key Support and Resistance Levels: Combine crossover alerts with key support and resistance levels for more reliable trading signals. Volume Confirmation: Ensure there is sufficient volume to support the crossover signals, indicating stronger momentum behind the move. When NOT to Use Buy and Sell Alerts: Low Volume: Avoid using buy and sell alerts during periods of low trading volume, as the signals may be less reliable. Market Noise: Be cautious in highly volatile markets where frequent crossovers might generate false signals. Sideways Market: In a sideways or range-bound market, crossover signals can result in multiple whipsaws, leading to potential losses. Why Use This Script? This script provides a comprehensive tool for traders to monitor multiple moving averages and VWAP crossovers efficiently. It allows you to customize alerts based on your trading strategy and helps you make informed decisions by visualizing key technical indicators on your chart. Legal Disclaimer: The information provided by this script is for educational and informational purposes only and should not be considered financial advice. The developer of this script is not responsible for any financial losses incurred from using this script.
مؤشرات Pine Script™
من ‎thisgirl‎
ZLSMA with Chandelier ExitThe "ZLSMA with Chandelier Exit" indicator integrates two advanced trading tools: the Zero Lag Smoothed Moving Average (ZLSMA) and the Chandelier Exit. The ZLSMA is designed to provide a smoothed trend line that reacts quickly to price changes, making it effective for identifying trends. The Chandelier Exit employs the Average True Range (ATR) to establish trailing stop levels, assisting traders in managing risk. How to Use This Indicator Trend Identification: Observe the ZLSMA line. If the price is consistently above the ZLSMA, it indicates a bullish trend; if below, it suggests a bearish trend. Entry and Exit Signals: Buy Signal : When the price crosses above the Chandelier Exit level and the ZLSMA is trending upwards, consider entering a long position. Sell Signal : Conversely, when the price crosses below the Chandelier Exit level and the ZLSMA is trending downwards, consider entering a short position. Risk Management : Adjust your stop-loss levels based on the Chandelier Exit lines to protect profits and limit losses. Pros : Responsive to Market Changes : The ZLSMA provides quicker signals than traditional moving averages, allowing traders to capture trends early. Risk Management : The Chandelier Exit helps traders set dynamic stop-loss levels based on market volatility, enhancing risk management. Cons : Lagging Nature : Despite being faster than standard moving averages, ZLSMA and Chandelier Exit can still lag during highly volatile market conditions. False Signals : In choppy or sideways markets, the indicator may produce false signals, leading to potential losses. Complexity : New traders may find it challenging to interpret multiple components of the indicator effectively, making it necessary to practice and refine their understanding. Overall, this indicator is a powerful tool for traders seeking to combine trend-following strategies with effective risk management, but it requires careful consideration of market conditions and proper risk management practices.
مؤشرات Pine Script™
من ‎Jasb_to‎
The Exact IndicatorStruggling to get in on a trade? Don't know where to take profits? This indicator might help - it only displays the Buy, Stop Loss and Take profit points when certain conditions are met. The indicator combines a moving average crossover strategy with trend analysis to identify potential buy opportunities in the market. It utilises a short-term and long-term Simple Moving Average (SMA) to generate buy signals when the short-term SMA crosses above the long-term SMA. Additionally, it displays take profit and stop loss levels, along with a background colour indicating the overall trend strength. Pros : Clear Signals : Provides straightforward buy signals based on a well-known crossover strategy, making it easy for traders to identify entry points. Visual Aids : The inclusion of take profit and stop loss levels, along with background trend colors, enhances decision-making and risk management. Trend Awareness : The background colour changes based on trend strength, allowing traders to quickly assess market conditions. Cons : Lagging Indicator : Moving averages are inherently lagging, which can result in delayed signals, especially in volatile markets. False Signals : Crossover strategies can produce false signals during sideways or choppy market conditions, leading to potential losses. Limited Scope : The indicator focuses primarily on buy signals, potentially missing out on other trading opportunities (like short-selling) in a bearish market. Overall, while this indicator can be a useful tool for identifying bullish trends and potential entry points, traders should use it in conjunction with other analysis methods and risk management strategies to mitigate its limitations.
مؤشرات Pine Script™
من ‎Jasb_to‎
3
Divergence for Many Indicators v4 Screener▋ INTRODUCTION: The “Divergence for Many Indicators v4 Screener” is developed to provide an advanced monitoring solution for up to 24 symbols simultaneously. It efficiently collects signals from multiple symbols based on the “ Divergence for Many Indicators v4 ” and presents the output in an organized table. The table includes essential details starting with the symbol name, signal price, corresponding divergence indicator, and signal time. _______________________ ▋ CREDIT: The divergence formula adapted from the “ Divergence for Many Indicators v4 ” script, originally created by @LonesomeTheBlue . Full credit to his work. _______________________ ▋ OVERVIEW: The chart image can be considered an example of a recorded divergence signal that occurred in $BTCUSDT. _______________________ ▋ APPEARANCE: The table can be displayed in three formats: 1. Full indicator name. 2. First letter of the indicator name. 3. Total number of divergences. _______________________ ▋ SIGNAL CONFIRMATION: The table distinguishes signal confirmation by using three different colors: 1. Not-Confirmed (Orange): The signal is not confirmed yet, as the bar is still open. 2. Freshly Confirmed (Green): The signal was confirmed 1 or 2 bars ago. 3. Confirmed (Gray): The signal was confirmed 3 or more bars ago. _______________________ ▋ INDICATOR SETTINGS: Section(1): Table Settings (1) Table location on the chart. (2) Table’s cells size. (3) Chart’s timezone. (4) Sorting table.            - Signal: Sorts the table by the latest signals.            - None: Sorts the table based on the input order. (5) Table’s colors. (6) Signal Confirmation type color. Explained above in the SIGNAL CONFIRMATION section Section(2): Divergence for Many Indicators v4 Settings As seen on the Divergence for Many Indicators v4 * Explained above in the APPEARANCE section Section(3): Symbols (1) Enable/disable symbol in the screener. (2) Entering a symbol. _______________________ ▋ FINAL COMMENTS: For best performance, add the Screener indicator to an active symbol chart, such as QQQ, SPY, AAPL, BTCUSDT, ES, EURUSD, etc., and avoid mixing symbols from different market allocations. The Divergence for Many Indicators v4 Screener indicator is not a primary tool for making trading decisions.
مؤشرات Pine Script™
من ‎MUQWISHI‎
6
MA rate of changeThis indicator uses moving averages to determine trends. For those who trade using a trend-following strategy, it's not possible to use the slope of the moving average line as an indicator of trend judgment if it's expressed as an angle. This is because the angle changes depending on the adjustments made to the vertical price scale and horizontal time scale of the chart. Therefore, instead of using the angle, I decided to use the rate of change in price as an alternative indicator. The relationship between the rate of change of the moving average and the angle of the moving average line is as follows: - When the value is positive, the moving average line slopes upward. - When the value is negative, the moving average line slopes downward. - The larger the absolute value of the rate of change, the steeper the angle; the smaller the value, the gentler the slope. The trend is determined using the rate of change instead of the angle, as follows: - Uptrend: Rate of change > 0.5 (this value can be adjusted) ⇒ Display with a red background - Downtrend: Rate of change < -0.5 (this value can be adjusted) ⇒ Display with a blue background An example of a trade using this indicator is as follows: - Enter the trade the day after the trend appears. - Exit the trade the day after the trend ends. このインジケーターは移動平均線を使ってトレンドを判断します。トレンドフォロー戦略でトレードする方はこのインジケーターの示す移動平均線の傾きを角度で表してトレンドの判定の指標とすることはできません。なぜなら、角度はチャートの縦軸の価格スケールや横軸の時間のスケールを調整することで変わってしまうからです。 そこで角度に代わる別の指標として価格の変化率を使うことにしました。 移動平均の変化率と、移動平均線の角度の関係は次の通りです。 - プラスの値の場合は移動平均線は右肩上がり - マイナスの値の場合は移動平均線は右肩下がり - 変化率の絶対値が大きいほど角度は急になり、小さいほど角度は緩やかになる トレンドの判定は次のようにします。角度の代わりに変化率で判定します。 - 上昇トレンド : 変化率 > 0.5 (この値は調整可能) ⇒赤色の背景で表示 - 下降トレンド : 変化率 < -0.5 (この値は調整可能)⇒青色の背景で表示 このインジケーターを使ったトレードの例は次の通りです。 - トレンドが発生した翌日エントリー - トレンドが終了した翌日エグジット
مؤشرات Pine Script™
من ‎fightpm‎
Advanced Supply and Demand Indicator# Advanced Supply and Demand Indicator This Pine Script™ indicator helps traders identify potential supply and demand zones in financial markets. It uses price action, volume, and historical data to plot these zones on your chart, providing valuable insights for trading decisions. ## Key Features: - Automatically detects and plots supply and demand zones - Customizable lookback period for zone identification - Adjustable strength multiplier for more precise zone detection - User-defined opacity for visual clarity - Combines price action and volume analysis for improved accuracy ## How It Works: 1. Identifies significant price levels using a specified lookback period 2. Analyzes volume data to confirm potential supply and demand zones 3. Plots supply zones in red and demand zones in green 4. Displays the current price for easy reference ## Customization Options: - Lookback Period: Adjust the historical data range (1-100 bars) - Zone Strength Multiplier: Fine-tune the sensitivity of zone detection (1.0-3.0) - Zone Opacity: Set the transparency of plotted zones (10-100%) This indicator is designed to help traders identify potential areas of support and resistance, allowing for more informed entry and exit decisions in their trading strategies.
مؤشرات Pine Script™
من ‎CR-JE‎
SMT Divergences [OutOfOptions]Smart Money Technique (SMT) Divergence is designed to identify discrepancies between correlated assets within the same timeframe. It occurs when two related assets exhibit opposing signals, such as one forming a higher low while the other forms a lower low. This technique is particularly useful for anticipating market shifts or reversals before they become evident through other Premium Discount (PD) Arrays. This indicator works by identifying the highs and lows that have formed for an asset on the current chart and the correlated symbol defined in the settings. Once a pivot on either asset is formed, it checks if the pivot has taken liquidity as identified by the previous pivot in the same direction (i.e., a new high taking out a previous high). If this is the case and the corresponding asset has not taken a similar pivot, the condition is determined to be a potential valid divergence. The indicator will then filter out SMTs formed by adjacent candles, requiring at least one candle difference between the candles forming the SMT. If the “Candle Direction Validation” setting is enabled, the indicator will further check both assets to ensure that for bullish SMTs, the last high on both assets was formed by down candle, and for bearish SMTs, the low was formed by an up candle. This check can often eliminate low-probability SMTs that are frequently broken. The referenced chart shows divergence between Nasdaq (NQ) and S&P 500 (ES) futures, which are normally closely correlated assets that move in the same direction. The lines shown represent bullish and bearish divergences between the two when they are formed. As you can see from the chart, SMT Divergences may not always indicate a reversal, or a reversal might be just a short-term retrace. Therefore, SMT Divergences should not be used independently. However, in conjunction with other PD arrays, they can provide strong confirmation of a change in market direction. Configurability: Pivot strength - Indicates how many bars to the left/right of a high for pivot to be considered, recommended to keep at 1 for maximum detection speed Candle Direction Validation - Additional SMT validation to filter out weak/low-probability SMTs be examining candle direction Line Styling for Bullish/Bearish SMTs - Ability to customize line style, color & width for bullish/bearish SMTs Label Control - Whether or not to show SMT label and if shown what font size & color should be used What makes this indicator different: Unlike other SMT indicators, this indicators has additional built-in controls to remove low-probability SMTs
مؤشرات Pine Script™
من ‎outofoptions‎
7
Pivot Bollinger BandThis is a special kind of Bollinger Bands indicator that adapts to the market's pivot points. Instead of using regular price data, it first finds important swing highs and lows in the market (called pivot points). It then uses these pivot points to create a center line, which is like a moving average of where the market is pivoting. Around this center line, it draws the classic Bollinger Bands - an upper and lower band that show where prices might find resistance or support. The distance between these bands changes based on market volatility, just like regular Bollinger Bands. You can adjust how sensitive it is to pivot points and how wide the bands should be. By using pivot point based Bollinger Bands, we expect band breakout can be captured more effectively.
مؤشرات Pine Script™
من ‎yuth.btce.1‎
2
CPR by NKDCentral Pivot Range (CPR) Trading Strategy: The Central Pivot Range (CPR) is a widely-used tool in technical analysis, helping traders pinpoint potential support and resistance levels in the market. By using the CPR effectively, traders can better gauge market trends and determine favorable entry and exit points. This guide explores how the CPR works, outlines its calculation, and describes how traders can enhance their strategies using an extended 10-line version of CPR. What Really Central Pivot Range (CPR) is? At its core, the CPR consists of three key lines: Pivot Point (PP) – The central line, calculated as the average of the previous day’s high, low, and closing prices. Upper Range (R1) – Positioned above the Pivot Point, acting as a potential ceiling where price may face resistance. Lower Range (S1) – Found below the Pivot Point, serving as a potential floor where price might find support. Advanced traders often expand on the traditional three-line CPR by adding extra levels above and below the pivot, creating up to a 10-line system. This extended CPR allows for a more nuanced understanding of the market and helps identify more detailed trading opportunities. Applying CPR for Trading Success 1. How CPR is Calculation The CPR relies on the previous day's high (H), low (L), and close (C) prices to create its structure: Pivot Point (PP) = (H + L + C) / 3 First Resistance (R1) = (2 * PP) - L First Support (S1) = (2 * PP) - H Additional resistance levels (R2, R3) and support levels (S2, S3) are calculated by adding or subtracting multiples of the previous day’s price range (H - L) from the Pivot Point. 2. Recognizing the Market Trend To effectively trade using CPR, it’s essential to first determine whether the market is trending up (bullish) or down (bearish). In an upward-trending market, traders focus on buying at support levels, while in a downward market, they look to sell near resistance. 3. Finding Ideal Entry Points Traders often look to enter trades when price approaches key levels within the CPR range. Support levels (S1, S2) offer buying opportunities, while resistance levels (R1, R2) provide selling opportunities. These points are considered potential reversal zones, where price may bounce or reverse direction. 4. Managing Risk with Stop-Loss Orders Proper risk management is crucial in any trading strategy. A stop-loss should be set slightly beyond the support level for buy positions and above the resistance level for sell positions, ensuring that losses are contained if the market moves against the trader’s position. 5. Determining Profit Targets Profit targets are typically set based on the distance between entry points and the next support or resistance level. Many traders apply a risk-reward ratio, aiming for larger potential profits compared to the potential losses. However, if the next resistance and support level is far then middle levels are used for targets (i.e. 50% of R1 and R2) 6. Confirmation Through Other Indicators While CPR provides strong support and resistance levels, traders often use additional indicators to confirm potential trade setups. Indicators such as moving averages can help validate the signals provided by the CPR. 7. Monitoring Price Action At CPR Levels Constantly monitoring price movement near CPR levels is essential. If the price fails to break through a resistance level (R1) or holds firm at support (S1), it can offer cues on when to exit or adjust a trade. However, a strong price break past these levels often signals a continued trend. 8. Trading Breakouts with CPR When the price breaks above resistance or below support with strong momentum, it may signal a potential breakout. Traders can capitalize on these movements by entering positions in the direction of the breakout, ideally confirmed by volume or other technical indicators. 9. Adapting to Changing Market Conditions CPR should be used in the context of broader market influences, such as economic reports, news events, or geopolitical shifts. These factors can dramatically affect market direction and how price reacts to CPR levels, making it important to stay informed about external market conditions. 10. Practice and Backtesting for Improvements Like any trading tool, the CPR requires practice. Traders are encouraged to backtest their strategies on historical price data to get a better sense of how CPR works in different market environments. Continuous analysis and practice help improve decision-making and strategy refinement. The Advantages of Using a 10-Line CPR System An extended 10-line CPR system—comprising up to five resistance and five support levels—provides more granular control and insight into market movements. This expanded view helps traders better gauge trends and identify more opportunities for entry and exit. Key benefits include: R2, S2 Levels: These act as secondary resistance or support zones, giving traders additional opportunities to refine their trade entries and exits. R3, S3 Levels: Provide an even wider range for identifying reversals or trend continuations in more volatile markets. Flexibility: The broader range of levels allows traders to adapt to changing market conditions and make more precise decisions based on market momentum. So in Essential: The Central Pivot Range is a valuable tool for traders looking to identify critical price levels in the market. By providing a clear framework for identifying potential support and resistance zones, it helps traders make informed decisions about entering and exiting trades. However, it’s important to combine CPR with sound risk management and additional confirmation through other technical indicators for the best results. Although no trading tool guarantees success, the CPR, when used effectively and combined with practice, can significantly enhance a trader’s ability to navigate market fluctuations.
مؤشرات Pine Script™
من ‎nikhilkdwivedi‎
7
RSI/MFI Divergence Finder [idahodev]Monitoring RSI (Relative Strength Index) and MFI (Money Flow Index) divergences on a stock or index chart offers several benefits to traders and analysts. Let's break down the advantages: Comprehensive Market View: Combining both indicators provides a more complete picture of market conditions, as they measure different aspects of price movement. RSI focuses on recent gains/losses relative to price change, while MFI incorporates volume data to assess money flow in and out of a security. Enhanced Signal Accuracy: When divergences occur simultaneously in both RSI and MFI, it may be considered a stronger signal than if only one indicator showed divergence. This can potentially lead to more reliable trading decisions. Identification of False Breakouts: Divergences between these indicators and price action can help identify false breakouts or misleading price movements that are not supported by underlying market strength or volume. More Nuanced Market Understanding: By examining divergent behavior between money flow (MFI) and momentum (RSI), traders gain a more detailed comprehension of the interplay between these factors in shaping market trends. Early Warning Signs: These divergences can act as early warning signs for potential trend reversals or changes in market sentiment, allowing traders to adjust their strategies proactively. It's important to note that RSI/MFI divergences should be used as part of a broader trading strategy rather than solely relying on them for buy/sell signals. They can serve as valuable tools for confirming trends, identifying potential turning points, or warning against overbought/oversold conditions. When using these indicators together, traders must be cautious of false signals, especially in choppy markets or during periods of high volatility. It's crucial to combine this analysis with other technical and fundamental factors before making trading decisions. In summary, monitoring RSI/MFI divergences may offer a way to gain insights into the underlying strengths and weaknesses of market movements. This utility differs from other in that it allows for a choke/threshold/sensitivity setting to help weed out noisy signals. This needs to be carefully adjusted per chart. It also allows for tuning of the MFI smoothing length (number of bars on the current chart) as well as how many previous bars it will take into consideration when calculating RSI and MFI divergences. It will signal when it sees alignment forming between RSI and MFI divergences in a direction. You will likely need to tune this script's settings every few days or at least anytime there is a change in overall market behavior or sustained volatility. Ultimately, the goal with this script is to provide an additional level of confirmation of weakness or strength. It should be combined with other indicators such as exhaustion, pivots, supply/demand, trendline breaks or tests, and structure changes, to name a few complementary tools or strategies. It's not meant to be a standalone buy/sell signal indicator! Here are some settings for futures that may help you get started: ES (4m chart) RSI Length: 26 MFI Length: 8 MFI Smoothing Length: 32 Divergence Sensitivity: 124 Left Bars for Pivot: 10 Right Bars for Pivot: 1 NQ (4m chart) RSI Length: 14 MFI Length: 14 MFI Smoothing Length: 21 Divergence Sensitivity: 400 Left Bars for Pivot: 21 Right Bars for Pivot: 1 YM (4m chart) RSI Length: 14 MFI Length: 14 MFI Smoothing Length: 21 Divergence Sensitivity: 810 Left Bars for Pivot: 33 Right Bars for Pivot: 1
مؤشرات Pine Script™
من ‎isaacborup‎
1
Industry Group Strength - IndiaPresenting the Industry Group Strength Indicator for India market, designed to help traders identify top-performing stocks within specific industry groups that are predefined. ⦿ Identifies Leading Stocks in Industry Groups ⦿ Analyses the following metrics YTD Return : Measures stock performance from the start of the year. RS Rating : Relative Strength rating for user-selected periods. % Return : Percentage return over a user-selected lookback period. Features This indicator dynamically recognises the industry group of the current stock on the chart and ranks stocks within that group based on predefined data points. Traders can add this indicator to focus on top-performing stocks relative to their industry. ⦿ Color-coded for Easy Visualisation You can choose from the following key metrics to rank stocks: YTD Return RS Rating % Return ⦿ Table Format with Performance Metrics Compact mode Vertical View Horizontal View All of the three metrics are shown in the compact mode and the current stock that is viewed is highlighted! Vertical view Horizontal view Stock Ranking Stocks are ranked based on their performance within industry groups, enabling traders to easily spot leaders and laggards in each sector. Color-coded gradients visually represent the stocks’ performance rankings, with higher percentile rankings indicating better performance. Relative Strength (RS) Relative Strength (RS) compares a stock’s performance against the benchmark index. The RS value is normalized from 1 to 99, making it easier to compare across different stocks. A rising RS value indicates that the stock is outperforming the market, helping traders quickly gauge relative performance within industry groups. Limitations At the time of developing this indicator, Pine requests are limited to 40 per script so the predefined symbols had to be filtered to 40 per Industry group Stocks Filters Filters that are used to filter the stocks in an Industry group to have maximum of 40 stocks ⦿ Auto, Chemical, Engineering, Finance, Pharma Market Cap >= 1000 Crores and Market Cap <= 60000 Crores Price >= 30 and Price <= 6000 50 Days Average ( Price * Volume ) >= 6 Crores ⦿ For rest of the Industry groups Market Cap >= 1000 Crores and Market Cap <= 100000 Crores Price >= 20 and Price <= 10000 50 Days Average ( Price * Volume ) >= 3 Crores Credits This indicator is forked from the Script for US market by @Amphibiantrading Thanks Brandon for the beginning of this indicator. This indicator is built on TradingView’s new dynamic requests feature, thanks to @PineCoders for making this possible!
مؤشرات Pine Script™
من ‎EquityCraze‎
19