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Asset Rotation System [InvestorUnknown]Overview This system creates a comprehensive trend "matrix" by analyzing the performance of six assets against both the US Dollar and each other. The objective is to identify and hold the asset that is currently outperforming all others, thereby focusing on maintaining an investment in the most "optimal" asset at any given time. - - - Key Features - - - 1. Trend Classification: The system evaluates the trend for each of the six assets, both individually against USD and in pairs (assetX/assetY), to determine which asset is currently outperforming others. Utilizes five distinct trend indicators: RSI (50 crossover), CCI, SuperTrend, DMI, and Parabolic SAR. Users can customize the trend analysis by selecting all indicators or choosing a single one via the "Trend Classification Method" input setting. 2. Backtesting: Calculates an equity curve for each asset and for the system itself, which assumes holding only the asset deemed optimal at any time. Customizable start date for backtesting; by default, it begins either 5000 bars ago (the maximum in TradingView) or at the inception of the youngest asset included, whichever is shorter. If the youngest asset's history exceeds 5000 bars, the system uses 5000 bars to prevent errors. The equity curve is dynamically colored based on the asset held at each point, with this coloring also reflected on the chart via barcolor(). Performance metrics like returns, standard deviation of returns, Sharpe, Sortino, and Omega ratios, along with maximum drawdown, are computed for each asset and the system's equity curve. 3 Alerts: Supports alerts for when a new, confirmed optimal asset is identified. However, due to TradingView limitations, the specific asset cannot be included in the alert message. - - - Usage - - - 1. Select Assets/Tickers: Choose which assets or tickers you want to include in the rotation system. Ensure that all selected tickers are denominated in USD to maintain consistency in analysis. 2. Configure Trend Classification: Decide on the trend classification method from the available options (RSI, CCI, SuperTrend, DMI, or Parabolic SAR, All) and adjust the settings to your preferences. This customization allows you to tailor the system to different market conditions or your specific trading strategy. 3. Utilize Backtesting for Calibration: Use the backtesting results, including equity curves and performance metrics, to fine-tune your chosen trend indicators. Be cautious not to overemphasize performance maximization, as this can lead to overfitting. The goal is to achieve a robust system that performs well across various market conditions, rather than just optimizing for past data. - - - Parameters - - - Tickers: Asset 1: Select the symbol for the first asset. Asset 2: Select the symbol for the second asset. Asset 3: Select the symbol for the third asset. Asset 4: Select the symbol for the fourth asset. Asset 5: Select the symbol for the fifth asset. Asset 6: Select the symbol for the sixth asset. General Settings: Trend Classification Method: Choose from RSI, CCI, SuperTrend, DMI, PSAR, or "All" to determine how trends are analyzed. Use Custom Starting Date for Backtest: Toggle to use a custom date for beginning the backtest. Custom Starting Date: Set the custom start date for backtesting. Plot Perf. Metrics Table: Option to display performance metrics in a table on the chart. RSI (Relative Strength Index): RSI Source: Choose the price data source for RSI calculation. RSI Length: Set the period for the RSI calculation. CCI (Commodity Channel Index): CCI Source: Select the price data source for CCI calculation. CCI Length: Determine the period for the CCI. SuperTrend: SuperTrend Factor: Adjust the sensitivity of the SuperTrend indicator. SuperTrend Length: Set the period for the SuperTrend calculation. DMI (Directional Movement Index): DMI Length: Define the period for DMI calculations. Parabolic SAR: PSAR Start: Initial acceleration factor for the Parabolic SAR. PSAR Increment: Increment value for the acceleration factor. PSAR Max Value: Maximum value the acceleration factor can reach. Notes/Recommendations: While this system is operational, it's important to recognize that it relies on "basic" indicators, which may not be ideal for generating trading signals on their own. I strongly suggest that users delve into the code to grasp the underlying logic of the system. Consider customizing it by integrating more sophisticated and higher-quality trend-following indicators to enhance its performance and reliability. Disclaimer: This system's backtest results are historical and do not predict future performance. Use for educational purposes only; not investment advice.
Penunjuk Pine Script®
oleh InvestorUnknown
25
Advanced Divergence IndicatorAdvanced Divergence Indicator Unlock the full potential of your trading strategy with the Advanced Divergence Indicator, a powerful tool designed to identify and analyze bullish and bearish divergences using multiple technical indicators. Whether you're a seasoned trader or just starting out, this indicator provides clear, actionable signals to help you make informed trading decisions. What It Does The Advanced Divergence Indicator detects divergences between price movements and key technical indicators, specifically the Relative Strength Index (RSI) and On-Balance Volume (OBV). Divergence occurs when the price trends in one direction while the indicator trends in the opposite direction, signaling potential reversals or continuations in the market. Key Features Multi-Indicator Analysis RSI Divergence: Identifies bullish and bearish divergences using the RSI, helping you spot potential reversals based on momentum. OBV Divergence: Utilizes OBV to detect divergences related to volume flow, providing insights into the strength behind price movements. Bullish and Bearish Signals Bullish Divergence: Signals when indicators show higher lows while the price forms lower lows, suggesting a potential upward reversal. Bearish Divergence: Alerts when indicators display lower highs while the price creates higher highs, indicating a possible downward reversal. Signal Strength Classification Standard Signals: Represent typical divergence occurrences, marked with green (bullish) and red (bearish) labels. Strong Signals: Highlighted with yellow (strong bullish) and blue (strong bearish) labels when divergences coincide with overbought or oversold conditions, enhancing signal reliability. Customizable Settings Indicator Selection: Choose to enable RSI, OBV, or both based on your trading preferences. Pivot Points: Adjust the number of bars left and right to fine-tune pivot detection for more accurate divergence identification. Range Configuration: Set minimum and maximum bar ranges to control the sensitivity of divergence detection, suitable for different timeframes and trading styles. Noise Cancellation: Reduce false signals by enabling noise filtering, ensuring that only significant divergences are highlighted. Visual Clarity Color-Coded Labels: Easily distinguish between different types of divergences with intuitive color codes—green for bullish, red for bearish, yellow for strong bullish, and blue for strong bearish signals. Clean Chart Display: The indicator overlays seamlessly on your chart without clutter, ensuring that signals are easily identifiable without distracting from price action. Real-Time Alerts Custom Alert Conditions: Receive instant notifications for bullish and bearish divergences, enabling you to act promptly on potential trading opportunities. Combined Alerts: Get alerts for either bullish or bearish signals, or both, based on your selected criteria. How to Use Add the Indicator to Your Chart Apply the Advanced Divergence Indicator to your desired chart and timeframe. Configure Settings Select Indicators: Choose to enable RSI, OBV, or both under the "Indicator Settings" group. Adjust Parameters: Customize RSI length, pivot points, and divergence ranges to match your trading strategy and the specific asset you are analyzing. Enable Noise Cancellation: Activate this feature to filter out minor divergences and focus on more significant signals. Interpret the Signals Bullish Signals: Look for green or yellow labels below the price bars indicating potential upward reversals. Bearish Signals: Identify red or blue labels above the price bars signaling possible downward reversals. Strong Signals: Pay special attention to yellow and blue labels as they denote stronger divergences with higher reliability. Set Up Alerts Configure alert conditions within the indicator to receive real-time notifications when bullish or bearish divergences are detected, ensuring you never miss a trading opportunity. Why Choose Advanced Divergence Indicator Comprehensive Analysis : By combining RSI and OBV, the indicator provides a more robust analysis compared to single-indicator tools, enhancing the accuracy of divergence detection. Flexibility : Highly customizable settings allow traders to tailor the indicator to their unique strategies and market conditions. User-Friendly : Clear labels and color codes make it easy for traders of all levels to understand and act on the signals. Reliability : Strong signal classification and noise cancellation features help reduce false positives, providing more trustworthy trading signals.
Penunjuk Pine Script®
oleh naserboss
Market Structure V3Indicator Description: The Market Structure indicator is a unique and innovative tool for identifying and visualizing key market structures based on dynamic swing highs and lows. This indicator stands apart from similar tools by utilizing a distinct methodology for updating levels and identifying trends, ensuring precision and flexibility in market analysis. Key Features of Uniqueness: 1. No Fixed Lookback Periods for Extremum Detection: - Unlike most indicators that rely on a predefined number of candles (lookback period) to determine highs or lows, this script dynamically updates levels based solely on price action. - A new high (resistance) or low (support) is confirmed only when the closing price breaks above the previous high or below the previous low, representing the last significant extremums . - This approach eliminates arbitrary lookback-based restrictions, allowing the indicator to adapt seamlessly to different market conditions and timeframes. 2. Dynamic Level Adjustments: - Levels are recalculated and adjusted in real time as new price action unfolds, providing traders with highly accurate and relevant support and resistance levels. - The upper and lower bounds serve as dynamic anchors for trend analysis, updating only when a confirmed breakout occurs. 3. Fractal and Trend-Driven Logic: - The script inherently respects the fractal nature of price movements by focusing on confirmed breakouts of previous significant extremums , avoiding reliance on shorter-term noise. - This makes the indicator particularly effective for identifying true trend reversals and continuations. 4. Visual Clarity and Structure Mapping: - The indicator labels the following structural points directly on the chart: - **Higher Highs (HH)** for uptrend confirmation. - **Lower Highs (LH)** for potential trend weakening. - **Lower Lows (LL)** for downtrend confirmation. - **Higher Lows (HL)** for potential trend reversals. - Levels and labels are updated dynamically and accurately reflect the market's structural evolution. 5. Clean and Noise-Free Analysis: - The absence of arbitrary inputs (e.g., lookback periods) ensures the indicator focuses only on meaningful price action, reducing false signals. - Works seamlessly across all instruments and timeframes without requiring constant parameter adjustments. 6. Highly Adaptable: - Suitable for any financial market, including stocks, forex, and cryptocurrencies. - Performs equally well on all timeframes, from intraday to long-term analysis. How the Indicator Works: 1. Dynamic Level Updates : - The indicator evaluates price action in real time and identifies significant levels based on breakouts above previous highs or below previous lows. - Upper Bound (Resistance) : Updated only when the closing price exceeds the previous significant high. - Lower Bound (Support) : Updated only when the closing price falls below the previous significant low. 2. Trend Determination: - Identifies and marks structural points (HH, LH, LL, HL) as trends develop. - Swing points are updated dynamically without relying on fixed lookback parameters, ensuring that levels reflect the true market structure. 3. Confirmation Logic: - The script uses a user-configurable parameter `Extremum confirmation bars count` to refine the process of confirming significant swing points. - This ensures flexibility in adapting to different market conditions while maintaining precision in level detection. Unique Advantages Over Similar Indicators: 1. No Arbitrary Inputs: - Unlike other indicators that require users to set the number of candles for extremum detection, this script eliminates the need for such settings, relying solely on actual price breakouts. 2. Dynamic Real-Time Adjustments: - The logic of level updates is event-driven (based on closing prices crossing key levels), making it more reactive and precise compared to static lookback-based calculations. 3. Enhanced Structural Clarity: - Focuses exclusively on confirmed significant levels , avoiding clutter and ambiguity often seen in lookback-based indicators. 4. Fractal and Self-Adaptive Nature: - The script inherently respects market fractality, making it effective across all timeframes and market conditions. Practical Applications: - Trend Identification: Helps identify whether the market is in an uptrend, downtrend, or consolidation phase. - Entry and Exit Points: Use swing highs and lows as references for entering or exiting positions. - Support and Resistance Levels: Dynamic levels provide actionable areas for placing stop-losses and take-profits. Input Parameters: - Extremum Confirmation Bars Count: Adjusts the sensitivity of extremum detection. The higher the value, the more conservative the indicator becomes in confirming levels. Default is `3`. Chart Setup and Usage Notes: 1. Clean Visualization: - Ensure a clean chart for better visibility of structural points and levels. - Do not overlay with additional indicators unless explicitly required. 2. User Guidance: - Combine this indicator with volume analysis or other confirmation tools to enhance decision-making. Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis and trade responsibly.
Penunjuk Pine Script®
oleh MaxBRFZCO
5
WaveTrend With Divs & RSI(STOCH) Divs by WeloTradesWaveTrend with Divergences & RSI(STOCH) Divergences by WeloTrades Overview The "WaveTrend With Divergences & RSI(STOCH) Divergences" is an advanced Pine Script™ indicator designed for TradingView, offering a multi-dimensional analysis of market conditions. This script integrates several technical indicators—WaveTrend, Money Flow Index (MFI), RSI, and Stochastic RSI—into a cohesive tool that identifies both regular and hidden divergences across these indicators. These divergences can indicate potential market reversals and provide critical trading opportunities. This indicator is not just a simple combination of popular tools; it offers extensive customization options, organized data presentation, and valuable trading signals that are easy to interpret. Whether you're a day trader or a long-term investor, this script enhances your ability to make informed decisions. Originality and Usefulness The originality of this script lies in its integration and the synergy it creates among the indicators used. Rather than merely combining multiple indicators, this script allows them to work together, enhancing each other's strengths. For example, by identifying divergences across WaveTrend, RSI, and Stochastic RSI simultaneously, the script provides multiple layers of confirmation, which reduces the likelihood of false signals and increases the reliability of trading signals. The usefulness of this script is apparent in its ability to offer a consolidated view of market dynamics. It not only simplifies the analytical process by combining different indicators but also provides deeper insights through its divergence detection features. This comprehensive approach is designed to help traders identify potential market reversals, confirm trends, and ultimately make more informed trading decisions. How the Components Work Together 1. Cross-Validation of Signals WaveTrend: This indicator is primarily used to identify overbought and oversold conditions, as well as potential buy and sell signals. WaveTrend's ability to smooth price data and reduce noise makes it a reliable tool for identifying trend reversals. RSI & Stochastic RSI: These momentum oscillators are used to measure the speed and change of price movements. While RSI identifies general overbought and oversold conditions, Stochastic RSI offers a more granular view by tracking the RSI’s level relative to its high-low range over a period of time. When these indicators align with WaveTrend signals, it adds a layer of confirmation that enhances the reliability of the signals. Money Flow Index (MFI): This volume-weighted indicator assesses the inflow and outflow of money in an asset, giving insights into buying and selling pressure. By analyzing the MFI alongside WaveTrend and RSI indicators, the script can cross-validate signals, ensuring that buy or sell signals are supported by actual market volume. Example Bullish scenario: When a bullish divergence is detected on the RSI and confirmed by a corresponding bullish signal on the WaveTrend, along with an increasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. Example Bearish scenario: When a bearish divergence is detected on the RSI and confirmed by a corresponding bearish signal on the WaveTrend, along with an decreasing Money Flow Index, the probability of a successful trade setup increases. This cross-validation minimizes the risk of acting on false signals, which might occur when relying on a single indicator. 2. Divergence Detection and Market Reversals Regular Divergences: Occur when the price action and an indicator (like RSI or WaveTrend) move in opposite directions. Regular bullish divergence signals a potential upward reversal when the price makes a lower low while the indicator makes a higher low. Conversely, regular bearish divergence suggests a downward reversal when the price makes a higher high, but the indicator makes a lower high. Hidden Divergences: These occur when the price action and indicator move in the same direction, but with different momentum. Hidden bullish divergence suggests the continuation of an uptrend, while hidden bearish divergence suggests the continuation of a downtrend. By detecting these divergences across multiple indicators, the script identifies potential trend reversals or continuations with greater accuracy. Example: The script might detect a regular bullish divergence on the WaveTrend while simultaneously identifying a hidden bullish divergence on the RSI. This combination suggests that while a trend reversal is possible, the overall market sentiment remains bullish, providing a nuanced view of the market. A Regular Bullish Divergence Example: A Hidden Bullish Divergence Example: A Regular Bearish Divergence Example: A Hidden Bearish Divergence Example: 3. Trend Strength and Sentiment Analysis WaveTrend: Measures the strength and direction of the trend. By identifying the extremes of market sentiment (overbought and oversold levels), WaveTrend provides early signals for potential reversals. Money Flow Index (MFI): Assesses the underlying sentiment by analyzing the flow of money. A rising MFI during an uptrend confirms strong buying pressure, while a falling MFI during a downtrend confirms selling pressure. This helps traders assess whether a trend is likely to continue or reverse. RSI & Stochastic RSI: Offer a momentum-based perspective on the trend’s strength. High RSI or Stochastic RSI values indicate that the asset may be overbought, suggesting a potential reversal. Conversely, low values indicate oversold conditions, signaling a possible upward reversal. Example: During a strong uptrend, the WaveTrend & RSI's might signal overbought conditions, suggesting caution. If the MFI also shows decreasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Example: During a strong downtrend, the WaveTrend & RSI's might signal oversold conditions, suggesting caution. If the MFI also shows increasing buying pressure and the RSI reaches extreme levels, these indicators together suggest that the trend might be weakening, and a reversal could be imminent. Conclusion The "WaveTrend With Divergences & RSI(STOCH) Divergences" script offers a powerful, integrated approach to technical analysis by combining trend, momentum, and sentiment indicators into a single tool. Its unique value lies in the cross-validation of signals, the ability to detect divergences, and the comprehensive view it provides of market conditions. By offering traders multiple layers of analysis and customization options, this script is designed to enhance trading decisions, reduce false signals, and provide clearer insights into market dynamics. WAVETREND Display of WaveTrend: Display of WaveTrend Setting: WaveTrend Indicator Explanation The WaveTrend indicator helps identify overbought and oversold conditions, as well as potential buy and sell signals. Its flexibility allows traders to adapt it to various strategies, making it a versatile tool in technical analysis. WaveTrend Input Settings: WT MA Source: Default: HLC3 What it is: The data source used for calculating the WaveTrend Moving Average. What it does: Determines the input data to smooth price action and filter noise. Example: Using HLC3 (average of High, Low, Close) provides a smoother data representation compared to using just the closing price. Length (WT MA Length): Default: 3 What it is: The period used to calculate the Moving Average. What it does: Adjusts the sensitivity of the WaveTrend indicator, where shorter lengths respond more quickly to price changes. Example: A length of 3 is ideal for short-term analysis, providing quick reactions to price movements. WT Channel Length & Average: Default: WT Channel Length = 9, Average = 12 What it is: Lengths used to calculate the WaveTrend channel and its average. What it does: Smooths out the WaveTrend further, reducing false signals by averaging over a set period. Example: Higher values reduce noise and help in identifying more reliable trends. Channel: Style, Width, and Color: What it is: Customization options for the WaveTrend channel's appearance. What it does: Adjusts how the channel is displayed, including line style, width, and color. Example: Choosing an area style with a distinct color can make the WaveTrend indicator clearly visible on the chart. WT Buy & Sell Signals: What it is: Settings to enable and customize buy and sell signals based on WaveTrend. What it does: Allows for the display of buy/sell signals and customization of their shapes and colors. When it gives a Buy Signal: Generated when the WaveTrend line crosses below an oversold level and then rises back, indicating a potential upward price movement. When it gives a Sell Signal: Triggered when the WaveTrend line crosses above an overbought level and then declines, suggesting a possible downward trend. Example: The script identifies these signals based on mean reversion principles, where prices tend to revert to the mean after reaching extremes. Traders can use these signals to time their entries and exits effectively. WAVETREND OVERBOUGTH AND OVERSOLD LEVELS Display of WaveTrend with Overbought & Oversold Levels: Display of WaveTrend Overbought & Oversold Levels Settings: WaveTrend Overbought & Oversold Levels Explanation WT OB & OS Levels: Default: OB Level 1 = 53, OB Level 2 = 60, OS Level 1 = -53, OS Level 2 = -60 What it is: The default overbought and oversold levels used by the WaveTrend indicator to signal potential market reversals. What it does: When the WaveTrend crosses above the OB levels, it indicates an overbought condition, potentially signaling a reversal or selling opportunity. Conversely, when it crosses below the OS levels, it indicates an oversold condition, potentially signaling a reversal or buying opportunity. Example: A trader might use these levels to time entry or exit points, such as selling when the WaveTrend crosses into the overbought zone or buying when it crosses into the oversold zone. Show OB/OS Levels: Default: True What it is: Toggle options to show or hide the overbought and oversold levels on your chart. What it does: When enabled, these levels will be visually represented on your chart, helping you to easily identify when the market reaches these critical thresholds. Example: Displaying these levels can help you quickly see when the WaveTrend is approaching or has crossed into overbought or oversold territory, allowing for more informed trading decisions. Line Style, Width, and Color for OB/OS Levels: What it is: Options to customize the appearance of the OB and OS levels on your chart, including line style (solid, dotted, dashed), line width, and color. What it does: These settings allow you to adjust how prominently these levels are displayed on your chart, which can help you better visualize and respond to overbought or oversold conditions. Example: Setting a thicker, dashed line in a contrasting color can make these levels stand out more clearly, aiding in quick visual identification. Example of Use: Scenario: A trader wants to identify potential selling points when the market is overbought. They set the OB levels at 53 and 60, choosing a solid, red line style to make these levels clear on their chart. As the WaveTrend crosses above 53, they monitor for further price action, and upon crossing 60, they consider initiating a sell order. WAVETREND DIVERGENCES Display of WaveTrend Divergence: Display of WaveTrend Divergence Setting: WaveTrend Divergence Indicator Explanation The WaveTrend Divergence feature helps identify potential reversal points in the market by highlighting divergences between the price and the WaveTrend indicator. Divergences can signal a shift in market momentum, indicating a possible trend reversal. This component allows traders to visualize and customize divergence detection on their charts. WaveTrend Divergence Input Settings: Potential Reversal Range: Default: 28 What it is: The number of bars to look back when detecting potential tops and bottoms. What it does: Sets the range for identifying possible reversal points based on historical data. Example: A setting of 28 looks back across the last 28 bars to find reversal points, offering a balance between responsiveness and reliability. Reversal Minimum LVL OB & OS: Default: OB = 35, OS = -35 What it is: The minimum overbought and oversold levels required for detecting potential reversals. What it does: Adjusts the thresholds that trigger a reversal signal based on the WaveTrend indicator. Example: A higher OB level reduces the sensitivity to overbought conditions, potentially filtering out false reversal signals. Lookback Bar Left & Right: Default: Left = 10, Right = 1 What it is: The number of bars to the left and right used to confirm a top or bottom. What it does: Helps determine the position of peaks and troughs in the price action. Example: A larger left lookback captures more extended price action before the peak, while a smaller right lookback focuses on the immediate past. Lookback Range Min & Max: Default: Min = 5, Max = 60 What it is: The minimum and maximum range for the lookback period when identifying divergences. What it does: Fine-tunes the detection of divergences by controlling the range over which the indicator looks back. Example: A wider range increases the chances of detecting divergences across different market conditions. R.Div Minimum LVL OB & OS: Default: OB = 53, OS = -53 What it is: The threshold levels for detecting regular divergences. What it does: Adjusts the sensitivity of the regular divergence detection. Example: Higher thresholds make the detection more conservative, identifying only stronger divergence signals. H.Div Minimum LVL OB & OS: Default: OB = 20, OS = -20 What it is: The threshold levels for detecting hidden divergences. What it does: Similar to regular divergence settings but for hidden divergences, which can indicate potential reversals that are less obvious. Example: Lower thresholds make the hidden divergence detection more sensitive, capturing subtler market shifts. Divergence Label Options: What it is: Options to display and customize labels for regular and hidden divergences. What it does: Allows users to visually differentiate between regular and hidden divergences using customizable labels and colors. Example: Using different colors and symbols for regular (R) and hidden (H) divergences makes it easier to interpret signals on the chart. Text Size and Color: What it is: Customization options for the size and color of divergence labels. What it does: Adjusts the readability and visibility of divergence labels on the chart. Example: Larger text size may be preferred for charts with a lot of data, ensuring divergence labels stand out clearly. FAST & SLOW MONEY FLOW INDEX Display of Fast & Slow Money Flow: Display of Fast & Slow Money Flow Setting: Fast Money Flow Indicator Explanation The Fast Money Flow indicator helps traders identify the flow of money into and out of an asset over a shorter time frame. By tracking the volume-weighted average of price movements, it provides insights into buying and selling pressure in the market, which can be crucial for making timely trading decisions. Fast Money Flow Input Settings: Fast Money Flow: Length: Default: 9 What it is: The period used for calculating the Fast Money Flow. What it does: Determines the sensitivity of the Money Flow calculation. A shorter length makes the indicator more responsive to recent price changes, while a longer length provides a smoother signal. Example: A length of 9 is suitable for traders looking to capture quick shifts in market sentiment over a short period. Fast MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, effectively amplifying or reducing the visual impact of the indicator. Example: A higher multiplier can make the Money Flow more prominent on the chart, aiding in the quick identification of significant money flow changes. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Fast Money Flow plot on the chart. What it does: Allows you to move the Money Flow plot up or down on the chart to avoid overlap with other indicators. Example: Adjusting the Y Position can be useful if you have multiple indicators on the chart and need to maintain clarity. Fast MFI Style, Width, and Color: What it is: Customization options for how the Fast Money Flow is displayed on the chart. What it does: Enables you to choose between different plot styles (line or area), set the line width, and select colors for positive and negative money flow. Example: Using different colors for positive (green) and negative (red) money flow helps to visually distinguish between periods of buying and selling pressure. Slow Money Flow Indicator Explanation The Slow Money Flow indicator tracks the flow of money into and out of an asset over a longer time frame. It provides a broader perspective on market sentiment, smoothing out short-term fluctuations and highlighting longer-term trends. Slow Money Flow Input Settings: Slow Money Flow: Length: Default: 12 What it is: The period used for calculating the Slow Money Flow. What it does: A longer period smooths out short-term fluctuations, providing a clearer view of the overall money flow trend. Example: A length of 12 is often used by traders looking to identify sustained trends rather than short-term volatility. Slow MFI Area Multiplier: Default: 5 What it is: A multiplier applied to the Slow Money Flow area calculation. What it does: Adjusts the size of the Money Flow area on the chart, helping to emphasize the indicator’s significance. Example: Increasing the multiplier can help highlight the Money Flow in markets with less volatile price action. Y Position (Y Pos): Default: 0 What it is: The vertical position adjustment for the Slow Money Flow plot on the chart. What it does: Allows for vertical repositioning of the Money Flow plot to maintain chart clarity when used with other indicators. Example: Adjusting the Y Position ensures that the Slow Money Flow indicator does not overlap with other key indicators on the chart. Slow MFI Style, Width, and Color: What it is: Customization options for the visual display of the Slow Money Flow on the chart. What it does: Allows you to choose the plot style (line or area), set the line width, and select colors to differentiate positive and negative money flow. Example: Customizing the colors for the Slow Money Flow allows traders to quickly distinguish between buying and selling trends in the market. RSI Display of RSI: Display of RSI Setting: RSI Indicator Explanation The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in the market, providing traders with potential signals for buying or selling. RSI Input Settings: RSI Source: Default: Close What it is: The data source used for calculating the RSI. What it does: Determines which price data (e.g., close, open) is used in the RSI calculation, affecting how the indicator reflects market conditions. Example: Using the closing price is standard practice, as it reflects the final agreed-upon price for a given time period. MA Type (Moving Average Type): Default: SMA What it is: The type of moving average applied to the RSI for smoothing purposes. What it does: Changes the smoothing technique of the RSI, impacting how quickly the indicator responds to price movements. Example: Using an Exponential Moving Average (EMA) will make the RSI more sensitive to recent price changes compared to a Simple Moving Average (SMA). RSI Length: Default: 14 What it is: The period over which the RSI is calculated. What it does: Adjusts the sensitivity of the RSI. A shorter length (e.g., 7) makes the RSI more responsive to recent price changes, while a longer length (e.g., 21) smooths out the indicator, reducing the number of signals. Example: A 14-period RSI is commonly used for identifying overbought and oversold conditions, providing a balance between sensitivity and reliability. RSI Plot Style, Width, and Color: What it is: Options to customize the appearance of the RSI line on the chart. What it does: Allows you to adjust the visual representation of the RSI, including the line width and color. Example: Setting a thicker line width and a bright color like yellow can make the RSI more visible on the chart, aiding in quick analysis. Display of RSI with RSI Moving Average: RSI Moving Average Explanation The RSI Moving Average adds a smoothing layer to the RSI, helping to filter out noise and provide clearer signals. It is particularly useful for confirming trend strength and identifying potential reversals. RSI Moving Average Input Settings: MA Length: Default: 14 What it is: The period over which the Moving Average is calculated on the RSI. What it does: Adjusts the smoothing of the RSI, helping to reduce false signals and provide a clearer trend indication. Example: A 14-period moving average on the RSI can smooth out short-term fluctuations, making it easier to spot genuine overbought or oversold conditions. MA Plot Style, Width, and Color: What it is: Customization options for how the RSI Moving Average is displayed on the chart. What it does: Allows you to adjust the line width and color, helping to differentiate the Moving Average from the main RSI line. Example: Using a contrasting color for the RSI Moving Average (e.g., magenta) can help it stand out against the main RSI line, making it easier to interpret the indicator. STOCHASTIC RSI Display of Stochastic RSI: Display of Stochastic RSI Setting: Stochastic RSI Indicator Explanation The Stochastic RSI (Stoch RSI) is a momentum oscillator that measures the level of the RSI relative to its high-low range over a set period of time. It is used to identify overbought and oversold conditions, providing potential buy and sell signals based on momentum shifts. Stochastic RSI Input Settings: Stochastic RSI Length: Default: 14 What it is: The period over which the Stochastic RSI is calculated. What it does: Adjusts the sensitivity of the Stochastic RSI. A shorter length makes the indicator more responsive to recent price changes, while a longer length smooths out the fluctuations, reducing noise. Example: A length of 14 is commonly used to identify momentum shifts over a medium-term period, providing a balanced view of potential overbought or oversold conditions. Display of Stochastic RSI %K Line: Stochastic RSI %K Line Explanation The %K line in the Stochastic RSI is the main line that tracks the momentum of the RSI over the chosen period. It is the faster-moving component of the Stochastic RSI, often used to identify entry and exit points. Stochastic RSI %K Input Settings: %K Length: Default: 3 What it is: The period used for smoothing the %K line of the Stochastic RSI. What it does: Smoothing the %K line helps reduce noise and provides a clearer signal for potential market reversals. Example: A smoothing length of 3 is common, offering a balance between responsiveness and noise reduction, making it easier to spot significant momentum shifts. %K Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %K line. What it does: Allows you to adjust the appearance of the %K line on the chart, including line width and color, to fit your visual preferences. Example: Setting a blue color and a medium width for the %K line makes it stand out clearly on the chart, helping to identify key points of momentum change. %K Fill Color (Above): What it is: The fill color that appears above the %K line on the chart. What it does: Adds visual clarity by shading the area above the %K line, making it easier to interpret the direction and strength of momentum. Example: Using a light blue fill color above the %K line can help emphasize bullish momentum, making it visually prominent. Display of Stochastic RSI %D Line: Stochastic RSI %D Line Explanation The %D line in the Stochastic RSI is a moving average of the %K line and acts as a signal line. It is slower-moving compared to the %K line and is often used to confirm signals or identify potential reversals when it crosses the %K line. Stochastic RSI %D Input Settings: %D Length: Default: 3 What it is: The period used for smoothing the %D line of the Stochastic RSI. What it does: Smooths out the %D line, making it less sensitive to short-term fluctuations and more reliable for identifying significant market signals. Example: A length of 3 is often used to provide a smoothed signal line that can help confirm trends or reversals indicated by the %K line. %D Plot Style, Width, and Color: What it is: Customization options for the visual representation of the %D line. What it does: Allows you to adjust the appearance of the %D line on the chart, including line width and color, to match your preferences. Example: Setting an orange color and a thicker line width for the %D line can help differentiate it from the %K line, making crossover points easier to spot. %D Fill Color (Below): What it is: The fill color that appears below the %D line on the chart. What it does: Adds visual clarity by shading the area below the %D line, making it easier to interpret bearish momentum. Example: Using a light orange fill color below the %D line can highlight bearish conditions, making it visually easier to identify. RSI & STOCHASTIC RSI OVERBOUGHT AND OVERSOLD LEVELS Display of RSI & Stochastic with Overbought & Oversold Levels: Display of RSI & Stochastic Overbought & Oversold Settings: RSI & Stochastic Overbought & Oversold Levels Explanation The Overbought (OB) and Oversold (OS) levels for RSI and Stochastic RSI indicators are key thresholds that help traders identify potential reversal points in the market. These levels are used to determine when an asset is likely overbought or oversold, which can signal a potential trend reversal. RSI & Stochastic Overbought & Oversold Input Settings: RSI & Stochastic Level 1 Overbought (OB) & Oversold (OS): Default: OB Level = 170, OS Level = 130 What it is: The first set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: When the RSI or Stochastic RSI crosses above the overbought level, it suggests that the asset might be overbought, potentially signaling a sell opportunity. Conversely, when these indicators drop below the oversold level, it suggests the asset might be oversold, potentially signaling a buy opportunity. Example: If the RSI crosses above 170, traders might look for signs of a potential trend reversal to the downside, while a cross below 130 might indicate a reversal to the upside. RSI & Stochastic Level 2 Overbought (OB) & Oversold (OS): Default: OB Level = 180, OS Level = 120 What it is: The second set of thresholds for determining overbought and oversold conditions for both RSI and Stochastic RSI indicators. What it does: These levels provide an additional set of reference points, allowing traders to differentiate between varying degrees of overbought and oversold conditions, potentially leading to more refined trading decisions. Example: When the RSI crosses above 180, it might indicate an extreme overbought condition, which could be a stronger signal for a sell, while a cross below 120 might indicate an extreme oversold condition, which could be a stronger signal for a buy. RSI & Stochastic Overbought (OB) Band Customization: OB Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first overbought band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first overbought band, enhancing its visibility on the chart. Example: A dashed red line with medium width can clearly indicate the first overbought level, helping traders quickly identify when this threshold is crossed. OB Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second overbought band on the chart. What it does: Allows you to set the line width, style, and color for the second overbought band, providing a clear distinction from the first band. Example: A dashed red line with a slightly thicker width can represent a more significant overbought level, making it easier to differentiate from the first level. RSI & Stochastic Oversold (OS) Band Customization: OS Level 1: Width, Style, and Color: What it is: Customization options for the visual appearance of the first oversold band on the chart. What it does: Allows you to set the line width, style (solid, dotted, dashed), and color for the first oversold band, making it visually prominent. Example: A dashed green line with medium width can highlight the first oversold level, helping traders identify potential buying opportunities. OS Level 2: Width, Style, and Color: What it is: Customization options for the visual appearance of the second oversold band on the chart. What it does: Allows you to set the line width, style, and color for the second oversold band, providing an additional visual cue for extreme oversold conditions. Example: A dashed green line with a thicker width can represent a more significant oversold level, offering a stronger visual cue for potential buying opportunities. RSI DIVERGENCES Display of RSI Divergence Labels: Display of RSI Divergence Settings: RSI Divergence Lookback Explanation The RSI Divergence settings allow traders to customize the parameters for detecting divergences between the RSI (Relative Strength Index) and price action. Divergences occur when the price moves in the opposite direction to the RSI, potentially signaling a trend reversal. These settings help refine the accuracy of divergence detection by adjusting the lookback period and range. ( NOTE: This setting only imply to the RSI. This doesn't effect the STOCHASTIC RSI. ) RSI Divergence Lookback Input Settings: Lookback Left: Default: 10 What it is: The number of bars to look back from the current bar to detect a potential divergence. What it does: Defines the left-side lookback period for identifying pivot points in the RSI, which are used to spot divergences. A longer lookback period may capture more significant trends but could also miss shorter-term divergences. Example: A setting of 10 bars means the script will consider pivot points up to 10 bars before the current bar to check for divergence patterns. Lookback Right: Default: 1 What it is: The number of bars to look forward from the current bar to complete the divergence pattern. What it does: Defines the right-side lookback period for confirming a potential divergence. This setting helps ensure that the identified divergence is valid by allowing the script to check subsequent bars for confirmation. Example: A setting of 1 bar means the script will look at the next bar to confirm the divergence pattern, ensuring that the signal is reliable. Lookback Range Min: Default: 5 What it is: The minimum range of bars required to detect a valid divergence. What it does: Sets a lower bound on the range of bars considered for divergence detection. A lower minimum range might capture more frequent but possibly less significant divergences. Example: Setting the minimum range to 5 ensures that only divergences spanning at least 5 bars are considered, filtering out very short-term patterns. Lookback Range Max: Default: 60 What it is: The maximum range of bars within which a divergence can be detected. What it does: Sets an upper bound on the range of bars considered for divergence detection. A larger maximum range might capture more significant divergences but could also include less relevant long-term patterns. Example: Setting the maximum range to 60 bars allows the script to detect divergences over a longer timeframe, capturing more extended divergence patterns that could indicate major trend reversals. RSI Divergence Explanation RSI divergences occur when the RSI indicator and price action move in opposite directions, signaling potential trend reversals. This section of the settings allows traders to customize the appearance and detection of both regular and hidden bullish and bearish divergences. RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a green label color and a distinct line width makes bullish divergences easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing a red label color and a specific line width makes bearish divergences clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer green color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted red color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. STOCHASTIC DIVERGENCES Display of Stochastic RSI Divergence Labels: Display of Stochastic RSI Divergence Settings: Stochastic RSI Divergence Explanation Stochastic RSI divergences occur when the Stochastic RSI indicator and price action move in opposite directions, signaling potential trend reversals. These settings allow traders to customize the detection and visual representation of both regular and hidden bullish and bearish divergences in the Stochastic RSI. Stochastic RSI Divergence Input Settings: R. Bullish Div Label: Default: True What it is: An option to display labels for regular bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bullish divergences, where the price makes a lower low while the Stochastic RSI makes a higher low, indicating a potential upward reversal. Example: A trader might use this to spot buying opportunities in a downtrend when a bullish divergence in the Stochastic RSI suggests the trend may be reversing. Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Selecting a blue label color and a distinct line width makes bullish divergences in the Stochastic RSI easily recognizable on your chart. R. Bearish Div Label: Default: True What it is: An option to display labels for regular bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark regular bearish divergences, where the price makes a higher high while the Stochastic RSI makes a lower high, indicating a potential downward reversal. Example: A trader might use this to spot selling opportunities in an uptrend when a bearish divergence in the Stochastic RSI suggests the trend may be reversing. Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of regular bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: Choosing an orange label color and a specific line width makes bearish divergences in the Stochastic RSI clearly stand out on your chart. H. Bullish Div Label: Default: False What it is: An option to display labels for hidden bullish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bullish divergences, where the price makes a higher low while the Stochastic RSI makes a lower low, indicating potential continuation of an uptrend. Example: A trader might use this to confirm an existing uptrend when a hidden bullish divergence in the Stochastic RSI signals continued buying strength. Hidden Bullish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bullish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A softer blue color with a thinner line width might be chosen to subtly indicate hidden bullish divergences, keeping the chart clean while providing useful information. H. Bearish Div Label: Default: False What it is: An option to display labels for hidden bearish divergences in the Stochastic RSI. What it does: Enables or disables the visibility of labels that mark hidden bearish divergences, where the price makes a lower high while the Stochastic RSI makes a higher high, indicating potential continuation of a downtrend. Example: A trader might use this to confirm an existing downtrend when a hidden bearish divergence in the Stochastic RSI signals continued selling pressure. Hidden Bearish Label Color, Line Width, and Line Color: What it is: Settings to customize the appearance of hidden bearish divergence labels in the Stochastic RSI. What it does: Allows you to choose the color of the labels, adjust the width of the divergence lines, and select the color for these lines. Example: A muted orange color with a thinner line width might be selected to indicate hidden bearish divergences without overwhelming the chart. Divergence Text Size and Color: Default: S (Small) What it is: Settings to adjust the size and color of text labels for Stochastic RSI divergences. What it does: Allows you to customize the size and color of text labels that display the divergence information on the chart. Example: Choosing a small text size with a bright white color can make divergence labels easily readable without taking up too much space on the chart. Alert System: Custom Alerts for Divergences and Reversals: What it is: The script includes customizable alert conditions to notify you of detected divergences or potential reversals based on WaveTrend, RSI, and Stochastic RSI. What it does: Helps you stay informed of key market movements without constantly monitoring the charts, enabling timely decisions. Example: Setting an alert for regular bearish divergence on the WaveTrend could notify you of a potential sell opportunity as soon as it is detected. How to Use Alerts: Set up custom alerts in TradingView based on these conditions to be notified of potential trading opportunities. Alerts are triggered when the indicator detects conditions that match the selected criteria, such as divergences or potential reversals. By following the detailed guidelines and examples above, you can effectively use and customize this powerful indicator to suit your trading strategy. For further understanding and customization, refer to the input settings within the script and adjust them to match your trading style and preferences. How Components Work Together Synergy and Cross-Validation: The indicator combines multiple layers of analysis to validate trading signals. For example, a WaveTrend buy signal that coincides with a bullish divergence in RSI and positive fast money flow is likely to be more reliable than any single indicator’s signal. This cross-validation reduces the likelihood of false signals and enhances decision-making. Comprehensive Market Analysis: Each component plays a role in analyzing different aspects of the market. WaveTrend focuses on trend strength, Money Flow indicators assess market sentiment, while RSI and Stochastic RSI offer detailed views of price momentum and potential reversals. Ideal For Traders who require a reliable, multifaceted tool for detecting market trends and reversals. Investors seeking a deeper understanding of market dynamics across different timeframes and conditions, whether in forex, equities, or cryptocurrency markets. This script is designed to provide a comprehensive tool for technical analysis, combining multiple indicators and divergence detection into one versatile and customizable script. It is especially useful for traders who want to monitor various indicators simultaneously and look for convergence or divergence signals across different technical tools. Acknowledgements Special thanks to these amazing creators for inspiration and their creations: I want to thank these amazing creators for creating there amazing indicators , that inspired me and also gave me a head start by making this indicator! Without their amazing indicators it wouldn't be possible! vumanchu: VuManChu Cipher B Divergences. MisterMoTa: RSI + Divergences + Alerts . DevLucem: Plain Stochastic Divergence. Note This indicator is designed to be a powerful tool in your trading arsenal. However , it is essential to backtest and adjust the settings according to your trading strategy before applying it to live trading . If you have any questions or need further assistance, feel free to reach out.
Penunjuk Pine Script®
oleh WeloTrades
4
Standard Error Bands**Standard Error Bands Indicator: A Statistically Robust Tool for Trend Analysis** The Standard Error Bands (SEB) indicator is a powerful technical analysis tool designed to help traders identify and assess trends with greater accuracy. Unlike traditional band indicators (e.g., Bollinger Bands) that rely on price averages, SEB leverages linear regression and statistical measures of volatility to offer deeper insights into market dynamics. **How It Works** 1. **Linear Regression:** The indicator first calculates a linear regression line to model the underlying price trend. This line represents the "best fit" of price data over the specified lookback period. 2. **Standard Error:** Next, it calculates the standard error of the regression. This statistical measure quantifies the average distance between actual prices and the regression line, effectively acting as a volatility gauge. 3. **Smoothing:** Both the linear regression line and the standard error values are smoothed using a Simple Moving Average (SMA) to reduce noise and enhance the visual clarity of the bands. 4. **Band Construction:** The upper and lower bands are formed by adding/subtracting a multiple of the smoothed standard error from the smoothed linear regression line. The default multiplier is 2, representing approximately 95% of price action expected within the bands under normal market conditions. **Key Insights** * **Trend Strength:** Tight bands suggest a strong, well-defined trend with low volatility. Prices tend to adhere closely to the regression line, indicating a high probability of trend continuation. * **Trend Weakness/Change:** Widening or expanding bands signal increased volatility and potential trend weakness. Prices deviating from the regression line may suggest an impending trend reversal or a shift into a sideways consolidation phase. * **Entry/Exit Signals:** * Consider entering a trade when prices break out of the bands in the direction of the trend, especially if the bands were previously tight. * Conversely, consider exiting a trade when prices pierce the bands against the trend or when the bands start to widen significantly. **Use Cases** * **Trend Identification:** SEB can help traders identify trends earlier and more accurately than moving average-based indicators. * **Trend Confirmation:** The bands can be used to confirm the validity and strength of an existing trend. * **Volatility Assessment:** Changes in band width provide valuable insights into market volatility, aiding risk management decisions. * **Entry/Exit Timing:** SEB can be incorporated into trading strategies to generate timely entry and exit signals. **Important Considerations** * **Parameter Optimization:** Experiment with different lookback periods, smoothing values, and standard error multipliers to find the optimal settings for your preferred trading style and market conditions. * **Supplementary Indicators:** Combine SEB with other technical indicators (e.g., momentum oscillators, volume analysis) for a more comprehensive market assessment. * **Backtesting:** Thoroughly backtest any SEB-based trading strategy to ensure its effectiveness before deploying it in live markets. **Disclaimer:** Technical indicators like SEB are valuable tools but should not be used in isolation. Always consider price action or fundamental factors and risk management principles when making trading decisions.
Penunjuk Pine Script®
oleh Diagnosis_Analytics
Enhanced Strategy (Buy/Sell Signals)The provided script is an enhanced strategy that combines multiple indicators to generate buy and sell signals. Here's a breakdown of its features and usage: Indicators used: 1. Moving Averages (MA): It uses two moving averages, fast and slow, to identify trend direction. 2. Relative Strength Index (RSI): It measures the momentum and overbought/oversold conditions of the asset. 3. Moving Average Convergence Divergence (MACD): It indicates trend direction and potential trend reversals. 4. Stochastic Momentum Index (Stch Mtm): It identifies overbought and oversold conditions and potential reversals. 5. Awesome Oscillator: It helps to gauge the market momentum and potential trend changes. How to use: 1. The strategy is designed to be used as a study on the TradingView platform. 2. Apply the script to your preferred chart and adjust the input parameters as desired. 3. The buy and sell signals will be plotted as green "Buy" and red "Sell" labels on the chart. 4. You can also observe the plotted indicators to gain insights into the market conditions. Combination of indicators: 1. Buy Signal: The strategy generates a buy signal when the following conditions are met: - The fast moving average crosses over the slow moving average (bullish crossover). - RSI value is above the specified threshold (30 by default), indicating potential oversold conditions. - MACD line is above the signal line, suggesting a bullish trend. - Stch Mtm is above 50, indicating bullish momentum. - The Awesome Oscillator is positive, implying bullish market sentiment. 2. Sell Signal: The strategy generates a sell signal when the following conditions are met: - The fast moving average crosses under the slow moving average (bearish crossover). - RSI value is below the specified threshold (100 - RSI threshold), indicating potential overbought conditions. - MACD line is below the signal line, suggesting a bearish trend. - Stch Mtm is below 50, indicating bearish momentum. - The Awesome Oscillator is negative, implying bearish market sentiment. Market conditions: - The strategy aims to identify potential entry and exit points based on the combination of indicators. - It can be used in various market conditions, but it's important to consider the overall market context, news events, and risk management principles. - It's recommended to use this strategy as a tool for analysis and decision-making, and validate the signals with additional analysis before executing trades. Please note that the effectiveness and profitability of any trading strategy can vary depending on various factors, including market conditions and individual trading preferences. It's always advisable to conduct thorough backtesting and consider risk management techniques before applying any strategy to live trading.
Penunjuk Pine Script®
oleh curiousMind38569
3
GT 5.1 Strategy═════════════════════════════════════════════════════════════════════════ █ OVERVIEW People often look an indicator in their technical analysis to enter a position. We may also need to look at the signals of one or more indicators to verify the signals given by some indicators. In this context, I developed a strategy to test whether it really works by choosing some of the indicators that capture trend changes with the same characteristics. Also, since the subject is to catch the trend change, I thought it would be right to include an indicator using the heikin ashi logic. By averaging and smoothing the market noise, Heiken Ashi makes it easier to detect the direction of the trend helps to see possible reversal points on the chart. However, it should be noted that Heiken Ashi is a lagging indicator. I picked 5 different indicators (but their purpose are similar) and combined them to produce buy and sell signals based on your choice(not repaint). First of all let's get some information about our indicators. So you will understand me why i picked these indicators and what is the meaning of their signals. 1 — Coral Trend Indicator by LazyBear Coral Trend Indicator is a linear combination of moving averages, all obtained by a triple or higher order exponential smoothing. The indicator comes with a trend indication which is based on the normalized slope of the plot. the usage of this indicator is simple. When the color of the line is green that means the market is in uptrend. But when the color is red that means the market is in downtrend. As you see the original indicator it is simple to find is it in uptrend or downtrend. So i added a code to find when the color of the line change. When it turns green to red my script giving sell signals, when it turns red to green it gives buy signals. I hide the candles to show you more clearly what is happening when you choose only Coral Strategy. But sometimes it is not enough only using itself. Even if green dots turn to red it continues in uptrend. So we need a to look another indicator to approve our signal. 2 — SSL channel by ErwinBeckers Known as the SSL , the Semaphore Signal Level channel is an indicator that combines moving averages to provide you with a clear visual signal of price movement dynamics. In short, it's designed to show you when a price trend is forming. This indicator creates a band by calculating the high and low values ​​according to the determined period. Simply if you decide 10 as period, it calculates a 10-period moving average on the latest 10 highs. Calculate a 10-period moving average on the latest 10 lows. If the price falls below the low band, the downtrend begins, if the price closes above the high band, the uptrend begins. Lets look the original form of indicator and learn how it using. If the red line is below and the green band is above, it means that we are in uptrend, and if it is on the opposite side, it means that we are in downtrend. Therefore, it would be logical to enter a position where the trend has changed. So i added a code to find when the crossover has occured. As you see in my strategy, it gives you signals when the trend has changed. But sometimes it is not enough only using this indicator itself. So lets look 2 indicator together in one chart. Look circle SSL is saying it is in downtrend but Coral is saying it has entered in uptrend. if we just look to coral signal it can misleads us. So it can be better to look another indicator for validating our signals. 3 — Heikin Ashi RSI Oscillator by JayRogers The Heikin-Ashi technique is used by technical traders to identify a given trend more easily. Heikin-Ashi has a smoother look because it is essentially taking an average of the movement. There is a tendency with Heikin-Ashi for the candles to stay red during a downtrend and green during an uptrend, whereas normal candlesticks alternate color even if the price is moving dominantly in one direction. This indicator actually recalculates the RSI indicator with the logic of heikin ashi. Due to smoothing, the bars are formed with a slight lag, reflecting the trend rather than the exact price movement. So lets look the original version to understand more clearly. If red bars turn to green bars it means uptrend may begin, if green bars turn to red it means downtrend may begin. As you see HARSI giving lots of signal some of them is really good but some of them are not very well. Because it gives so much signals Now i will change time period and lets look same chart again. Now results are better because of heikin ashi's logic. it is not suitable for day traders, it gives more accurate result when using the time period is longer. But it can be useful to use this indicator in short time periods using with other indicators. So you may catch the trend changes more accurately. 4 — MACD DEMA by ToFFF This indicator uses a double EMA and MACD algorithm to analyze the direction of the trend. Though it might seem a tough task to manage the trades with the help of MACD DEMA once you know how the proper way to interpret the signal lines, it will be an easy task. This indicator also smoothens the signal lines with the time series algorithm which eventually makes the higher time frame important. So, expecting better results in the lower time frame can result in big losses as the data reading from the MACD DEMA will not be accurate. In order to understand the function of this indicator, you have to know the functions of the EMA also. The exponential moving average tends to give more priority to the recent price changes. So, expecting better results when the volatility is very high is a very risky approach to trade the market. Moreover, the MACD has some lagging issues compared to the EMA, so it is super important to use a trading method that focuses on the higher time frame only. What does MACD 12 26 Close 9 mean? When the DEMA-9 crosses above the MACD(12,26), this is considered a bearish signal. It means the trend in the stock – its magnitude and/or momentum – is starting to shift course. When the MACD(12,26) crosses above the DEMA-9, this is considered a bullish signal. Lets see this indicator on Chart. When the blue line crossover red line it is good time to buy. As you see from the chart i put arrows where the crossover are appeared. When the red line crossover blue line it is good time to sell or exit from position. 5 — WaveTrend Oscillator by LazyBear This is a technical indicator that creates high and low bands between two values. It then creates a trend indicator that draws waves with highs and lows within these boundaries. WaveTrend is a widely used indicator for finding direction of an asset. Calculation period: number of candles used to calculate WaveTrend, defaults to 10. Averaging period: number of candles used to average WaveTrend, defaults to 21. As you see in chart when the lines crossover occured my strategy gives buy or sell signals. ═════════════════════════════════════════════════════════════════════════ █ HOW TO USE I hope you understand how the indicators I mentioned above work and what they are used for. Now, I will explain in detail how to use the strategy I have created. When you enter the settings section, you will see 5 types of indicators. If you want to use the signals of the indicators, simply tick the box next to the indicators. Also, under each option there is an area where you can set the "lookback". This setting is a field that will make the signals overlap when you select more than one option. If you are going to trade with only one option, you should make sure that this field is 0. Otherwise, it may continue to generate as many signals as you choose. Lets see in chart for easy understanding. As you see chart, if i chose only HARSI with lookback 0 (HARSI and CORAL should be 1 minumum because of algorithm-we looking 1 bar before, others 0 because we are looking crossovers), it will give signals only when harsı bar's color changed. But when i changed Lookback as 7 it will be like this in chart. Now i will choose 2 indicator with settings of their lookback 0. As you see it will give signals when both of them occurs same time. But HARSI is an indicator giving very early signal so we can enter position 5-6 bars after the first bar color change. So i will change HARSI Lookback settings as 7. Lets look what happens when we use lookback option. So it wil be useful to change lookback settings to find best signals in each time period and in each symbol. But it shouldnt be too high. Because you can be late to catch trend's starting. this is an image of MACD and WAVE trend used and lookback option are both 6. Now lets see an example with 3 options are chosen with lookback option 11-1-5 Now lets talk about indicators settings. After strategy options you will see each indicators settings, you can change their settings as you desired. So each indicators signal will be changed according to your adjustment. I left strategy options with default settings. You can change it manually as if you want. ═════════════════════════════════════════════════════════════════════════ █  LIMITATIONS: Don't rely on non-standard charts results. For example Heikin Ashi is a technical analysis method used with the traditional candlestick chart.Heikin Ashi vs. Candlestick Chart: The decisive visual difference between Heikin Ashi and the traditional chart is that Heikin Ashi flattens the traditional candlestick chart using a modified formula. The primary advantage of Heikin Ashi is that it makes the chart more reader-friendly and helps users identify and analyze trends . Because Heikin Ashi provides averaged price information rather than real-time price and reacts slowly to volatility — not suitable for scalpers and high-frequency traders. I added HARSI indicator as a supportive signal because it is useful with using CORAL and SSL channel indicators. If you change your candle types to Heikin Ashi , your profit will change in good way but dont rely on it. ═════════════════════════════════════════════════════════════════════════ █  THANKS: Special thanks to authors of the scripts that i used. @LazyBear and @ErwinBeckers and @JayRogers and @ToFFF ═════════════════════════════════════════════════════════════════════════ █  DISCLAIMER Any trade decisions you make are entirely your own responsibility.
Strategi Pine Script®
oleh iori86
3
Juirk-Filtered QQE Histogram [Loxx]Juirk-Filtered QQE Histogram is a QQE indicator with 7 different RSI types, Jurik-Filtering with the option of double filtering. 2 types of signals, and Loxx's Expanded Source types. These additions are useful to filter out noise. What is Qualitative Quantitative Estimation (QQE)? The Qualitative Quantitative Estimation (QQE) indicator works like a smoother version of the popular Relative Strength Index ( RSI ) indicator. QQE expands on RSI by adding two volatility based trailing stop lines. These trailing stop lines are composed of a fast and a slow moving Average True Range (ATR). There are many indicators for many purposes. Some of them are complex and some are comparatively easy to handle. The QQE indicator is a really useful analytical tool and one of the most accurate indicators. It offers numerous strategies for using the buy and sell signals. Essentially, it can help detect trend reversal and enter the trade at the most optimal positions. What is Jurik Volty used in the Juirk Filter? One of the lesser known qualities of Juirk smoothing is that the Jurik smoothing process is adaptive. "Jurik Volty" (a sort of market volatility ) is what makes Jurik smoothing adaptive. The Jurik Volty calculation can be used as both a standalone indicator and to smooth other indicators that you wish to make adaptive. What is the Jurik Moving Average? Have you noticed how moving averages add some lag (delay) to your signals? ... especially when price gaps up or down in a big move, and you are waiting for your moving average to catch up? Wait no more! JMA eliminates this problem forever and gives you the best of both worlds: low lag and smooth lines. Ideally, you would like a filtered signal to be both smooth and lag-free. Lag causes delays in your trades, and increasing lag in your indicators typically result in lower profits. In other words, late comers get what's left on the table after the feast has already begun. Included: Loxx's Expanded Source Types Alerts Signals Bar coloring Included Libraries Loxx's Variety RSI Loxx's Jurik Tools Loxx's Expanded Source Types Related indicators: Natural Market Mirror (NMM) and NMAs w/ Dynamic Zones RSI/RSX QQE Histogram w/ Discontinued Signal Line Jurik CFB Adaptive QQE Adaptive Qualitative Quantitative Estimation (QQE)
Penunjuk Pine Script®
oleh loxx
3
Relative Volume (rVol), Better Volume, Average Volume ComparisonThis is the best version of relative volume you can find a claim which is based on the logical soundness of its calculation. I have amalgamated various volume analysis into one synergistic script. I wasn't going to opensource it. But, as one of the lucky few winners of TradingClue 2. I felt obligated to give something back to the community. Relative volume traditionally compares current volume to prior bar volume or SMA of volume. This has drawbacks. The question of relative volume is "Volume relative to what?" In the traditional scripts you'll find it displays current volume relative to the last number of bars. But, is that the best way to compare volume. On a daily chart, possibly. On a daily chart this can work because your units of time are uniform. Each day represents a full cycle of volume. However, on an intraday chart? Not so much. Example: If you have a lookback of 9 on an hourly chart in a 24 hour market, you are then comparing the average volume from Midnight - 9 AM to the 9 AM volume. What do you think you'll find? Well at 9:30 when NY exchanges open the volume should be consistently and predictably higher. But though rVol is high relative to the lookback period, its actually just average or maybe even below average compared to prior NY session opens. But prior NY session opens are not included in the lookback and thus ignored. This problem is the most visibly noticed when looking at the volume on a CME futures chart or some equivalent. In a 24 hour market, such as crypto, there are website's like skew can show you the volume disparity from time of day. This led me to believe that the traditional rVol calculation was insufficient. A better way to calculate it would be to compare the 9:30 am 30m bar today to the last week's worth of 9:30 am 30m bars. Then I could know whether today's volume at 9:30 am today is high or low based on prior 9:30 am bars. This seems to be a superior method on an intraday basis and is clearly superior in markets with irregular volume This led me to other problems, such as markets that are open for less than 24 hours and holiday hours on traditional market exchanges. How can I know that the script is accurately looking at the correct prior relevant bars. I've created and/or adapted solutions to all those problems and these calculations and code snippets thus have value that extend beyond this rVol script for other pinecoders. The Script This rVol script looks back at the bars of the same time period on the viewing timeframe. So, as we said, the last 9:30 bars. Averages those, then divides the: . The result is a percentage expressed as x.xxx. Thus 1.0 mean current volume is equal to average volume. Below 1.0 is below the average and above 1.0 is above the average. This information can be viewed on its own. But there are more levels of analysis added to it. Above the bars are signals that correlate to the "Better Volume Indicator" developed by, I believe, the folks at emini-watch and originally adapted to pinescript by LazyBear. The interpretation of these symbols are in a table on the right of the indicator. The volume bars can also be colored. The color is defined by the relationship between the average of the rVol outputs and the current volume. The "Average rVol" so to speak. The color coding is also defined by a legend in the table on the right. These can be researched by you to determine how to best interpret these signals. I originally got these ideas and solid details on how to use the analysis from a fellow out there, PlanTheTrade. I hope you find some value in the code and in the information that the indicator presents. And I'd like to thank the TradingView team for producing the most innovative and user friendly charting package on the market. (p.s. Better Volume is provides better information with a longer lookback value than the default imo) Credit for certain code sections and ideas is due to: LazyBear - Better Volume Grimmolf (From GitHub) - Logic for Loop rVol R4Rocket - The idea for my rVol 1 calculation And I can't find the guy who had the idea for the multiples of volume to the average. Tag him if you know him Final Note: I'd like to leave a couple of clues of my own for fellow seekers of trading infamy. Indicators: indicators are like anemometers (The things that measure windspeed). People talk bad about them all the time because they're "lagging." Well, you can't tell what the windspeed is unless the wind is blowing. anemometers are lagging indicators of wind. But forecasters still rely on them. You would use an indicator, which I would define as a instrument of measure, to tell you the windspeed of the markets. Conversely, when people talk positively about indicators they say "This one is great and this one is terrible." This is like a farmer saying "Shovels are great, but rakes are horrible." There are certain tools that have certain functions and every good tool has a purpose for a specific job. So the next time someone shares their opinion with you about indicators. Just smile and nod, realizing one day they'll learn... hopefully before they go broke. How to forecast: Prediction is accomplished by analyzing the behavior of instruments of measure to aggregate data (using your anemometer). The data is then assembled into a predictive model based on the measurements observed (a trading system). That predictive model is tested against reality for it's veracity (backtesting). If the model is predictive, you can optimize your decision making by creating parameter sets around the prediction that are synergistic with the implications of the prediction (risk, stop loss, target, scaling, pyramiding etc). <3
Penunjuk Pine Script®
oleh kurtsmock
74
Multi momentum indicatorScript contains couple momentum oscillators all in one pane List of indicators: RSI Stochastic RSI MACD CCI WaveTrend by LazyBear MFI Default active indicators are RSI and Stochastic RSI Other indicators are disabled by default RSI, StochRSI and MFI are modified to be bounded to range from 100 to -100. That's why overbought is 40 and 60 instead 70 and 80 while oversold -40 and -60 instead 30 and 20. MACD and CCI as they are not bounded to 100 or 200 range, they are limited to 100 - -100 by default when activated (extras are simply hidden) but there is an option to show full indicator. In settings there are couple more options like show crosses or show only histogram. Default source for all indicators is close (except WaveTrend and MFI which use hlc3) and it could be changed but for all indicators. There is an option for 2nd RSI which can be set for any timeframe and background calculated by Fibonacci levels.
Penunjuk Pine Script®
oleh prela
7
Three Bar Reversal Pattern [LuxAlgo]The Three Bar Reversal Pattern indicator identifies and highlights three bar reversal patterns on the user price chart. The script also provides an option for incorporating various trend indicators used to filter out detected signals, allowing them to enhance their accuracy and help obtain a more comprehensive analysis. 🔶 USAGE The script automates the detection of three-bar reversal patterns and provides a clear, visually identifiable signal for potential trend reversals. When a reversal chart pattern is confirmed and price action aligns with the pattern, the pattern's boundaries are extended, forming levels, with the upper boundary often acting as a resistance and the lower boundary as a support. The script allows users to filter patterns based on a specific trend direction detected by multiple trend indicators. Users can choose to view patterns that are either aligned with the detected trend or opposite to it. Included trend indicators are: Moving Average Cloud, Supertrend, and Donchian Channels. 🔶 DETAILS The three-bar reversal pattern is a technical analysis pattern that signals a potential reversal in the prevailing trend. The pattern consists of three consecutive bar formations: First Bar and Second Bar: 2 consecutive of the same sentiment, representing the prevailing trend in the market. Third Bar: Confirms the reversal by closing beyond the high or low of the first bar, signaling a potential change in market sentiment. Various types of three-bar reversal patterns are documented. The script supports two main types: Normal Pattern: Detects three-bar reversal patterns without requiring the third bar closing price to surpass the high (bullish pattern) or low (bearish pattern) of the first bar. It identifies basic formations signaling potential trend reversals. Enhanced Pattern: Specifically identifies three-bar reversal patterns where the third bar closing price surpasses the high (bullish pattern) or low (bearish pattern) of the first bar. This type provides a more selective signal for stronger trend reversals. 🔶 SETTINGS Pattern Type: Users can choose the type of 3-bar reversal patterns to detect: Normal, Enhanced, or All. "Normal" detects patterns that do not necessarily surpass the high/low of the first bar. "Enhanced" detects patterns where the third bar surpasses the high/low of the first bar. "All" detects both Normal and Enhanced patterns. Derived Support and Resistance: Toggles the visibility of the support and resistance levels/zones. 🔹 Trend Filtering Filtering: Allows users to filter patterns based on the trend indicators: Moving Average Cloud, Supertrend, and Donchian Channels. The "Aligned" option only detects patterns that align with the trend and conversely, the "Opposite" option detects patterns that go against the trend. 🔹 Trend Indicator Settings Moving Average Cloud: Allows traders to choose the type of moving averages (SMA, EMA, HMA, etc.) and set the lengths for fast and slow-moving averages. Supertrend: Options to set the ATR length and factor for Supertrend. Donchian Channels: Option to set the length for the channel calculation. 🔶 RELATED SCRIPTS Reversal-Candlestick-Structure . Reversal-Signals .
Penunjuk Pine Script®
oleh LuxAlgo
20
Descriptive Backtesting Framework (DBF)As the name suggests, this is a backtesting framework made to offer full backtesting functionality to any custom indicator in a visually descriptive way. Any trade taken will be very clear to visualize on the chart and the equity line will be updated live allowing us to use the REPLAY feature to view the strategy performing in real time. Stops and Targets will also get draw on the chart with labels and tooltips and there will be a table on the top right corner displaying lots of descriptive metrics to measure your strategy's performance. IF YOU DECIDE TO USE THIS FRAMEWORK, PLEASE READ **EVERYTHING** BELOW HOW TO USE IT Step 1 - Insert Your Strategy Indicators: Inside this framework's code, right at the beginning, you will find a dedicated section where you can manually insert any set of indicators you desire. Just replace the example code in there with your own strategy indicators. Step 2 - Specify The Conditions To Take Trades: After that, there will be another section where you need to specify your strategy's conditions to enter and exit trades. When met, those conditions will fire the trading signals to the trading engine inside the framework. If you don't wish to use some of the available signals, please just assign false to the signal. DO NOT DELETE THE SIGNAL VARIABLES Step 3 - Specify Entry/Exit Prices, Stops & Targets: Finally you'll reach the last section where you'll be able to specify entry/exit prices as well as add stops and targets. On most cases, it's easier and more reliable to just use the close price to enter and exit trades. If you decide to use the open price instead, please remember to change step 2 so that trades are taken on the open price of the next candle and not the present one to avoid the look ahead bias. Stops and targets can be set in any way you want. Also, please don't forget to update the spread. If your broker uses commissions instead of spreads or a combination of both, you'll need to manually incorporate those costs in this step. And that's it! That's all you have to do. Below this section you'll now see a sign warning you about not making any changes to the code below. From here on, the framework will take care of executing the trades and calculating the performance metrics for you and making sure all calculations are consistent. VISUAL FEATURES: Price candles get painted according to the current trade. They will be blue during long trades, purple on shorts and white when no trade is on. When the framework receives the signals to start or close a trade, it will display those signals as shapes on the upper and lower limits of the chart: DIAMOND: represents a signal to open a trade, the trade direction is represented by the shape's color; CROSS: means a stop loss was triggered; FLAG: means a take profit was triggered; CIRCLE: means an exit trade signal was fired; Hovering the mouse over the trade labels will reveal: Asset Quantity; Entry/Exit Prices; Stops & Targets; Trade Profit; Profit As Percentage Of Trade Volume; **Please note that there's a limit as to how many labels can be drawn on the chart at once.** If you which to see labels from the beginning of the chart, you'll probably need to use the replay feature. PERFORMANCE TABLE: The performance table displays several performance metrics to evaluate the strategy. All the performance metrics here are calculated by the framework. It does not uses the oficial pine script strategy tester. All metrics are calculated in real time. If using the replay feature, they will be updated up to the last played bar. Here are the available metrics and their definition: INITIAL EQUITY: the initial amount of money we had when the strategy started, obviously...; CURRENT EQUITY: the amount of money we have now. If using the replay feature, it will show the current equity up to the last bar played. The number on it's right side shows how many times our equity has been multiplied from it's initial value; TRADE COUNT: how many trades were taken; WIN COUNT: how many of those trades were wins. The percentage at the right side is the strategy WIN RATE; AVG GAIN PER TRADE: the average percentage gain per trade. Very small values can indicate a fragile strategy that can behave in unexpected ways under high volatility conditions; AVG GAIN PER WIN: the average percentage gain of trades that were profitable; AVG GAIN PER LOSS: the average percentage loss on trades that were not profitable; EQUITY MAX DD: the maximum drawdown experienced by our equity during the entire strategy backtest; TRADE MAX DD: the maximum drawdown experienced by our equity after one single trade; AVG MONTHLY RETURN: the compound monthly return that our strategy was able to create during the backtested period; AVG ANNUAL RETURN: this is the strategy's CAGR (compound annual growth rate); ELAPSED MONTHS: number of months since the backtest started; RISK/REWARD RATIO: shows how profitable the strategy is for the amount of risk it takes. Values above 1 are very good (and rare). This is calculated as follows: (Avg Annual Return) / mod(Equity Max DD). Where mod() is the same as math.abs(); AVAILABLE SETTINGS: SPREAD: specify your broker's asset spread ENABLE LONGS / SHORTS: you can keep both enable or chose to take trades in only one direction MINIMUM BARS CLOSED: to avoid trading before indicators such as a slow moving average have had time to populate, you can manually set the number of bars to wait before allowing trades. INITIAL EQUITY: you can specify your starting equity EXPOSURE: is the percentage of equity you wish to risk per trade. When using stops, the strategy will automatically calculate your position size to match the exposure with the stop distance. If you are not using stops then your trade volume will be the percentage of equity specified here. 100 means you'll enter trades with all your equity and 200 means you'll use a 2x leverage. MAX LEVERAGE ALLOWED: In some situations a short stop distance can create huge levels of leverage. If you want to limit leverage to a maximum value you can set it here. SEVERAL PLOTTING OPTIONS: You'll be able to specify which of the framework visuals you wish to see drawn on the chart. FRAMEWORK **LIMITATIONS**: When stop and target are both triggered in the same candle, this framework isn't able to enter faster timeframes to check which one was triggered first, so it will take the pessimistic assumption and annul the take profit signal; This framework doesn't support pyramiding; This framework doesn't support both long and short positions to be active at the same time. So for example, if a short signal is received while a long trade is open, the framework will close the long trade and then open a short trade; FINAL CONSIDERATIONS: I've been using this framework for a good time and I find it's better to use and easier to analyze a strategy's performance then relying on the oficial pine script strategy tester. However, I CANNOT GUARANTEE IT TO BE BUG FREE. **PLEASE PERFORM A MANUAL BACKTEST BEFORE USING ANY STRATEGY WITH REAL MONEY**
Penunjuk Pine Script®
oleh Mateus_Rapini
8
Combined IndicatorSummary This custom Pine Script combines three main indicators into one, each with its own functionalities and visual cues. It provides a comprehensive approach to trend analysis by integrating short-term, medium-term, and long-term indicators. Each part of the indicator can be toggled on or off independently to suit the trader’s needs. Part 1: EMA 14 and EMA 200 Purpose: This part of the indicator is designed to identify short-term and long-term trends using Exponential Moving Averages (EMA). It helps traders spot potential entry and exit points based on the relationship between short-term and long-term moving averages. Visuals: • EMA 14: Plotted in blue (#2962ff) • EMA 200: Plotted in red (#f23645) Signals: • Long Signal: Generated when EMA 14 crosses above EMA 200, indicating a potential upward trend. • Short Signal: Generated when EMA 14 crosses below EMA 200, indicating a potential downward trend. Usage: Toggle this part on or off using the checkbox input to focus on short-term vs. long-term trends. Part 2: EMA 9 and SMA 20 Purpose: This part combines Exponential and Simple Moving Averages to provide a medium-term trend analysis. It helps smooth out price data and identify potential trend reversals and continuation patterns. Visuals: • EMA 9: Plotted in green • SMA 20: Plotted in dark red Usage: Toggle this part on or off using the checkbox input to focus on medium-term trends and price smoothing. Part 3: Golden Cross and Death Cross Purpose: This part identifies long-term bullish and bearish market conditions using the 50-day and 200-day Simple Moving Averages (SMA). It highlights major trend changes that can inform long-term investment decisions. Visuals: • 50-day SMA: Plotted in gold (#ffe600) • 200-day SMA: Plotted in black Signals: • Golden Cross: Generated when the 50-day SMA crosses above the 200-day SMA, indicating a potential long-term upward trend. • Death Cross: Generated when the 50-day SMA crosses below the 200-day SMA, indicating a potential long-term downward trend. Usage: Toggle this part on or off using the checkbox input to focus on long-term trend changes. How to Use 1. Enable/Disable Indicators: Use the checkboxes provided in the input settings to enable or disable each part of the indicator according to your analysis needs. 2. Interpret Signals: Look for crossover events to determine potential entry and exit points based on the relationship between the moving averages. 3. Visual Confirmation: Use the color-coded lines and shape markers on the chart to visually confirm signals and trends. 4. Customize Settings: Adjust the lengths of the EMAs and SMAs in the input settings to suit your trading strategy and the specific asset you are analyzing. Practical Application • Short-Term Trading: Use the EMA 14 and EMA 200 signals to identify quick trend changes. • Medium-Term Trading: Use the EMA 9 and SMA 20 to capture medium-term trends and reversals. • Long-Term Investing: Monitor the Golden Cross and Death Cross signals to make decisions based on long-term trend changes. Example of Unique Features • Integrated Toggle System: Allows users to enable or disable specific parts of the indicator to customize their analysis. • Multi-Tier Trend Analysis: Combines short-term, medium-term, and long-term indicators to provide a comprehensive view of the market.
Penunjuk Pine Script®
oleh Amsammx
Accumulation/Distribution Level (ADL) [Cyrus c|:D]This indicator shows Accumulation/Distribution level which can be used for confirming trends or reversals (via divergence). It is an alternative to Chaikin's Accumulation/Distribution Line (ADL) and On Balance Volume (OBV) indicators. It can also replicate PVT and OBV via options in the input menu. Here is a comparison of four related indicators: OBV is too simple and has serious flaws as explained in PVT's wiki. Chaikin's ADL is a broken indicator as can be seen in the chart below: A/D Level addresses the flaws in these two indicators. It simply sums up portions of the volume that contributes to price change. These portions are visualized in dark green and red on "Accumulation/Distribution Volume (ADV)" indicator. This can also be achieved by ADV indicator if you are nerd enough. PS: There is Williams A/D as well which is also a broken indicator.
Penunjuk Pine Script®
oleh cI8DH
15
Universal Valuation | Lyro RSUniversal Valuation ⚠️Disclaimer: This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals. Overview The Universal Valuation indicator helps identify whether the market is undervalued/cheap or overvalued/expensive. And another mode this indicator offers is This cutting-edge tool works flawlessly ACROSS ALL TIMEFRAMES & TICKERS/CHARTS. By combining regular TradingView indicators & some of our valuation indicators basic/simple with advanced statistical functions, this indicator offers a powerful, universal valuation tool. Key Features INPUTS: The Universal Valuation indicator offers flexibility through its customizable input sections. The "Indicator Settings" let you adjust lengths for the raw indicators and statistical functions. The "Signals" section defines thresholds for background color changes, helping you visually spot key market moments. The "Colors" section allows you to pick from pre-defined schemes or personalize colors for better clarity. Lastly, the "Tables" section gives you full control over the UV table’s size and positioning, including options to overlay it on the chart or place it in the allocated space. A DEEPER INSIGHT: This indicator is built around three distinct categories: "UVM Andromeda," "UVM Sentinel," and "UVM Nexus." Each category has three different drivers. The statistical function powering this indicator is the Z-score. The Z-score is an incredibly powerful tool that helps determine if the market is overvalued/expensive or undervalued/cheap, offering critical insights for traders." Plotting: The plotted value represents the average of all the drivers. In other words, it is the combined average of all 9 Z-scored indicators, providing a balanced and comprehensive market valuation. What is Z-score? & Why does this system use it? Z-score is an advanced statistical function used to measure how far a value deviates from the average in a data set. The formula for Z-score is: (x - h) / o, where x is the observed value, h is the average (mean) of the data set, and o is the standard deviation. This system uses the Z-score because it helps determine whether the market is overvalued or undervalued based on historical data and how we apply the calculation. By measuring how far a value deviates from the average, the Z-score provides a clearer and more objective valuation of market conditions. In our case, a Z-score of -3 indicates an undervalued market, while a Z-score of 3 signals an overvalued market. UVM Andromeda: UVM stands for Universal Valuation Model, which is the core of this indicator. Andromeda, one of the most stunning galaxies in the universe, inspired by its name. We chose this name because a powerful indicator should not only be effective but also visually appealing. You might be wondering what drives UVM Andromeda. The three key drivers are Price, RSI, and ROC. These indicators are pre-defined, while the "Indicator Settings" allow you to adjust the length of the Z-score calculation, refining how the model analyzes market conditions. UVM Sentinel: Sentinel, refers to a guard or watchman, someone or something that keeps watch and provides protection. In our case this name refers to a model that actively observes market conditions, acting as a vigilant tool that signals important shifts in valuation. Wondering what drives UVM Sentinel? The three key drivers are BB%, CCI, and Crosby. While these indicators are simple on their own, applying our Z-score function elevates them to a whole new level, enhancing their ability to detect market conditions with greater accuracy. UVM Nexus: We chose the name Nexus simply because it sounds cool—there’s no deeper meaning behind it for us. However, the word itself does have a meaning; it refers to a connection or link between multiple things. The three key drivers for UVM Nexus are the Sharpe, Sortino, and Omega ratios. These are all asset performance metrics, but by applying the Z-score, we transform them into powerful valuation indicators/drivers, giving you a deeper insight into market conditions. Why do we use 9 different indicators instead of 1? That's a great question, and the answer is quite simple. Think of it like this: if you have one super soldier, and they miss a shot, it’s game over. But if you have many soldiers, even if one misses, the others can step in and take the shot. The strength of using multiple indicators lies in their collective power – if one misses, the others still provide valuable insights, making the overall system more reliable. Final Thoughts: In our Universal Valuation indicator, you have the flexibility to customize it however you like using our inputs. The system is divided into three distinct categories, with each category containing three indicators. The value plotted on the chart is the average of all nine indicators. We apply the Z-score, an advanced statistical function, to each of these nine indicators. The final plotted average is the average of all the Z-scores, giving you a comprehensive and refined market valuation. This indicator can work on any timeframe & chart ticker.
Penunjuk Pine Script®
oleh LyroRS
4
Liquidity Sweep with EMAThis Pine Script indicator helps traders identify potential market reversals based on liquidity sweeps, where the price moves through the previous candle's low or high and then closes above or below the previous candle's wick. These are often seen as significant market moves or liquidity grabs before a potential reversal or continuation. The indicator is also equipped with an EMA (Exponential Moving Average) as an optional visual aid to give traders a sense of the prevailing trend, though it is not used as part of the signal generation logic. Key Features: Liquidity Sweep Detection: Bullish Sweep: Triggered when the current candle sweeps below the low of the previous candle and then closes above the high of the previous candle. This indicates a potential market reversal to the upside after the liquidity sweep. Bearish Sweep: Triggered when the current candle sweeps above the high of the previous candle and then closes below the low of the previous candle. This indicates a potential market reversal to the downside after the liquidity sweep. EMA: The EMA (50) is plotted on the chart for visual trend guidance. While it is not used to confirm the signals, it can help traders see if the market is in a general uptrend or downtrend. Signal Presentation: Buy Signal: The indicator will plot a green upward arrow below the candle when a bullish liquidity sweep is detected. Sell Signal: The indicator will plot a red downward arrow above the candle when a bearish liquidity sweep is detected. Timeframe Filter: The indicator only generates signals on the following timeframes: 30-minute, 1-hour, 4-hour, and Daily. This helps to ensure the sweeps are significant and likely to result in meaningful price moves. Alerts: Alerts can be set up for both bullish and bearish sweep signals, so traders can be notified when these events occur. Customizable: EMA Length: The length of the Exponential Moving Average (EMA) can be adjusted. By default, it is set to 50, but you can modify this to fit your trading strategy. Show EMA Option: You can toggle whether or not to display the EMA line on the chart. How It Works: The indicator looks for price action patterns where the current candle sweeps through the high or low of the previous candle and closes beyond the previous wick. These patterns are often seen as potential traps, where the price initially moves in one direction (sweeping the liquidity) and then quickly reverses, making them important for traders who want to catch reversals or breakouts after a liquidity sweep. The EMA (50) gives a general trend direction but doesn't directly affect the trade signals. It serves as a visual reference for trend analysis. Potential Use Cases: Reversal Trading: Traders can use this indicator to catch reversals after a liquidity sweep. The green upward arrows may indicate a bullish reversal, while the red downward arrows may indicate a bearish reversal. Trend Trading: The EMA can help traders gauge the overall market trend. If the price is above the EMA, the market may be in an uptrend, and traders may focus on bullish sweeps. Conversely, if the price is below the EMA, the market may be in a downtrend, and traders may focus on bearish sweeps. Confirmation with Other Indicators: Although the EMA is not used to confirm signals in this script, it can be combined with other indicators (like RSI, Volume, or MACD) to enhance the accuracy of your trades. Final Thoughts: This script is designed to identify liquidity sweeps and price reversals based on price action alone, without relying on complex indicators. The optional EMA serves as a helpful tool for understanding the overall market trend. It’s ideal for traders looking to spot potential reversal points after significant price sweeps and is suitable for multiple timeframes (30m, 1h, 4h, Daily). You can use this description to help potential users understand the functionality of your indicator when publishing it on TradingView or selling it as an invite-only script. Let me know if you need any adjustments or further details!
Penunjuk Pine Script®
oleh frazerlittle
1
N Bar Reversal Detector [LuxAlgo]The N Bar Reversal Detector is designed to detect and highlight N-bar reversal patterns in user charts, where N represents the length of the candle sequence used to detect the patterns. The script incorporates various trend indicators to filter out detected signals and offers a range of customizable settings to fit different trading strategies. 🔶 USAGE The N-bar reversal pattern extends the popular 3-bar reversal pattern. While the 3-bar reversal pattern involves identifying a sequence of three bars signaling a potential trend reversal, the N-bar reversal pattern builds on this concept by incorporating additional bars based on user settings. This provides a more comprehensive indication of potential trend reversals. The script automates the identification of these patterns and generates clear, visually distinct signals to highlight potential trend changes. When a reversal chart pattern is confirmed and aligns with the price action, the pattern's boundaries are extended to create levels. The upper boundary serves as resistance, while the lower boundary acts as support. The script allows users to filter patterns based on the trend direction identified by various trend indicators. Users can choose to view patterns that align with the detected trend or those that are contrary to it. 🔶 DETAILS 🔹 The N-bar Reversal Pattern The N-bar reversal pattern is a technical analysis tool designed to signal potential trend reversals in the market. It consists of N consecutive bars, with the first N-1 bars used to identify the prevailing trend and the Nth bar confirming the reversal. Here’s a detailed look at the pattern: Bullish Reversal : In a bullish reversal setup, the first bar is the highest among the first N-1 bars, indicating a prevailing downtrend. Most of the remaining bars in this sequence should be bearish (closing lower than where they opened), reinforcing the existing downward momentum. The Nth (most recent) bar confirms a bullish reversal if its high price is higher than the high of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be higher than the high of the first bar. Bearish Reversal : In a bearish reversal setup, the first bar is the lowest among the first N-1 bars, indicating a prevailing uptrend. Most of the remaining bars in this sequence should be bullish (closing higher than where they opened), reinforcing the existing upward momentum. The Nth bar confirms a bearish reversal if its low price is lower than the low of the first bar in the sequence (standard pattern). For a stronger signal, the closing price of the Nth bar should also be lower than the low of the first bar. 🔹 Min Percentage of Required Candles This parameter specifies the minimum percentage of candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) among the first N-1 candles in a pattern. For higher values of N, it becomes more challenging for all of the first N-1 candles to be consistently bullish or bearish. By setting a percentage value, P, users can adjust the requirement so that only a minimum of P percent of the first N-1 candles need to meet the bullish or bearish condition. This allows for greater flexibility in pattern recognition, accommodating variations in market conditions. 🔶 SETTINGS Pattern Type: Users can choose the type of the N-bar reversal patterns to detect: Normal, Enhanced, or All. "Normal" detects patterns that do not necessarily surpass the high/low of the first bar. "Enhanced" detects patterns where the last bar surpasses the high/low of the first bar. "All" detects both Normal and Enhanced patterns. Reversal Pattern Sequence Length: Specifies the number of candles (N) in the sequence used to identify a reversal pattern. Min Percentage of Required Candles: Sets the minimum percentage of the first N-1 candles that must be bullish (for a bearish reversal) or bearish (for a bullish reversal) to qualify as a valid reversal pattern. Derived Support and Resistance: Toggles the visibility of the support and resistance levels/zones. 🔹 Trend Filtering Filtering: Allows users to filter patterns based on the trend indicators: Moving Average Cloud, Supertrend, and Donchian Channels. The "Aligned" option only detects patterns that align with the trend and conversely, the "Opposite" option detects patterns that go against the trend. 🔹 Trend Indicator Settings Moving Average Cloud: Allows traders to choose the type of moving averages (SMA, EMA, HMA, etc.) and set the lengths for fast and slow moving averages. Supertrend: Options to set the ATR length and factor for Supertrend. Donchian Channels: Option to set the length for the channel calculation. 🔶 RELATED SCRIPTS Reversal-Candlestick-Structure. Reversal-Signals.
Penunjuk Pine Script®
oleh LuxAlgo
10
MACD of Relative Strenght StrategyMACD Relative Strenght Strategy : INTRODUCTION : This strategy is based on two well-known indicators: MACD and Relative Strenght (RS). By coupling them, we obtain powerful buy signals. In fact, the special feature of this strategy is that it creates an indicator from an indicator. Thus, we construct a MACD whose source is the value of the RS. The strategy only takes buy signals, ignoring SHORT signals as they are mostly losers. There's also a money management method enabling us to reinvest part of the profits or reduce the size of orders in the event of substantial losses. RELATIVE STRENGHT : RS is an indicator that measures the anomaly between momentum and the assumption of market efficiency. It is used by professionals and is one of the most robust indicators. The idea is to own assets that do better than average, based on their past performance. We calculate RS using this formula : RS = close/highest_high(RS_Length) Where highest_high(RS_Length) = highest value of the high over a user-defined time period (which is the RS_Length). We can thus situate the current price in relation to its highest price over this user-defined period. MACD (Moving Average Convergence - Divergence) : This is one of the best-known indicators, measuring the distance between two exponential moving averages : one fast and one slower. A wide distance indicates fast momentum and vice versa. We'll plot the value of this distance and call this line macdline. The MACD uses a third moving average with a lower period than the first two. This last moving average will give a signal when it crosses the macdline. It is therefore constructed using the values of the macdline as its source. It's important to note that the first two MAs are constructed using RS values as their source. So we've just built an indicator of an indicator. This kind of method is very powerful because it is rarely used and brings value to the strategy. PARAMETERS : RS Length : Relative Strength length i.e. the number of candles back to find the highest high and compare the current price with this high. Default is 300. MACD Fast Length : Relative Strength fast EMA length used to plot the MACD. Default is 14. MACD Slow Length : Relative Strength slow EMA length used to plot the MACD. Default is 26. MACD Signal Smoothing : Macdline SMA length used to plot the MACD. Default is 10. Max risk per trade (in %) : The maximum loss a trade can incur (in percentage of the trade value). Default is 8%. Fixed Ratio : This is the amount of gain or loss at which the order quantity is changed. Default is 400, meaning that for each $400 gain or loss, the order size is increased or decreased by a user-selected amount. Increasing Order Amount : This is the amount to be added to or subtracted from orders when the fixed ratio is reached. The default is $200, which means that for every $400 gain, $200 is reinvested in the strategy. On the other hand, for every $400 loss, the order size is reduced by $200. Initial capital : $1000 Fees : Interactive Broker fees apply to this strategy. They are set at 0.18% of the trade value. Slippage : 3 ticks or $0.03 per trade. Corresponds to the latency time between the moment the signal is received and the moment the order is executed by the broker. Important : A bot has been used to test the different parameters and determine which ones maximize return while limiting drawdown. This strategy is the most optimal on BITSTAMP:ETHUSD in 8h timeframe with the parameters set by default. ENTER RULES : The entry rules are very simple : we open a long position when the MACD value turns positive. You are therefore LONG when the MACD is green. EXIT RULES : We exit a position (whether losing or winning) when the MACD becomes negative, i.e. turns red. RISK MANAGEMENT : This strategy can incur losses, so it's important to manage our risks well. If the position is losing and has incurred a loss of -8%, our stop loss is activated to limit losses. MONEY MANAGEMENT : The fixed ratio method was used to manage our gains and losses. For each gain of an amount equal to the value of the fixed ratio, we increase the order size by a value defined by the user in the "Increasing order amount" parameter. Similarly, each time we lose an amount equal to the value of the fixed ratio, we decrease the order size by the same user-defined value. This strategy increases both performance and drawdown. Enjoy the strategy and don't forget to take the trade :)
Strategi Pine Script®
oleh geneZ_fi
2
Enhanced Parabolic SAR + EMA 200 + MACD SignalsParabolic SAR + EMA 200 + MACD Signals Indicator is a popular technical analysis tool used by traders to identify potential entry and exit points in the market. It combines three widely used indicators: Parabolic SAR, EMA 200, and MACD. The Parabolic SAR indicator helps determine potential price reversals. It places dots above or below the price chart to indicate the direction of the trend. When the dots are below the price, it suggests an upward trend, and when they are above the price, it indicates a downward trend. The EMA 200 (Exponential Moving Average 200) is a moving average that gives more weight to recent price data. It is often used as a significant support or resistance level. Traders consider the price to be in an uptrend if it is above the EMA 200 and in a downtrend if it is below the EMA 200. The MACD (Moving Average Convergence Divergence) is a trend-following momentum indicator that calculates the difference between two exponential moving averages. It consists of a MACD line and a signal line. When the MACD line crosses above the signal line, it generates a bullish signal, indicating a potential buying opportunity. Conversely, when the MACD line crosses below the signal line, it generates a bearish signal, suggesting a potential selling opportunity. To use the MACD-Parabolic SAR-EMA200 Indicator for trading, you can follow these guidelines: Buy conditions: 1. The price should be above the EMA 200. 2. The Parabolic SAR should indicate an upward trend (dots below the price). 3. The MACD delta (the difference between the MACD line and the signal line) should be positive. Sell conditions: 1. The price should be below the EMA 200. 2. The Parabolic SAR should indicate a downward trend (dots above the price). 3. The MACD delta should be negative. By combining these three indicators, traders can gain additional confirmation of the overall trend direction and make more informed trading decisions. However, it's important to note that no indicator guarantees successful trades, and it's always advisable to use additional analysis and risk management techniques in conjunction with technical indicators.
Penunjuk Pine Script®
oleh muhammedturan3465
3
Trend Correlation HeatmapHello everyone! I am excited to release my trend correlation heatmap, or trend heatmap for short. Per usual, I think its important to explain the theory before we get into the use of the indicator, so let's get into the theory! The theory: So what is a correlation? Correlation is the relationship one variable has to another. Correlations are the basis of everything I do as a quantitative trader. From the correlation between the same variables (i.e. autocorrelation), the correlation between other variables (i.e. VIX and SPY, SPY High and SPY Low, DXY and ES1! close, etc.) and, as well, the correlation between price and time (time series correlation). This may sound very familiar to you, especially if you are a user, observer or follower of my ideas and/or indicators. Ninety-five percent of my indicators are a function of one of those three things. Whether it be a time series based indicator (i.e.my time series indicator), whether it be autocorrelation (my autoregressive cloud indicator or my autocorrelation oscillator) or whether it be regressive in nature (i.e. my SPY Volume weighted close, or even my expected move which uses averages in lieu of regressive approaches but is foundational in regression principles. Or even my VIX oscillator which relies on the premise of correlations between tickers.) So correlation is extremely important to me and while its true I am more of a regression trader than anything, I would argue that I am more of a correlation trader, because correlations are the backbone of how I develop math models of stocks. What I am trying to stress here is the importance of correlations. They really truly are foundational to any type of quantitative analysis for stocks. And as such, understanding the current relationship a stock has to time is pivotal for any meaningful analysis to be conducted. So what is correlation to time and what does it tell us? Correlation to time, otherwise known and commonly referred to as "Time Series", is the relationship a ticker's price has to the passing of time. It is displayed in the traditional Pearson Correlation Coefficient or R value and can be any value from -1 (strong negative relationship, i.e. a strong downtrend) to + 1 (i.e. a strong positive relationship, i.e. a strong uptrend). The higher or lower the value the stronger the up or downtrend is. As such, correlation to time tells us two very important things. These are: a) The direction of the stock; and b) The strength of the trend. Let's take a look at an example: Above we have a chart of QQQ. We can see a trendline that seems to fit well. The questions we ask as traders are: 1. What is the likelihood QQQ breaks down from this trendline? 2. What is the likelihood QQQ continues up? 3. What is the likelihood QQQ does a false breakdown? There are numerous mathematical approaches we can take to answer these questions. For example, 1 and 2 can be answered by use of a Cumulative Distribution Density analysis (CDDA) or even a linear or loglinear regression analysis and 3 can be answered, more or less, with a linear regression analysis and standard error ascertainment, or even just a general comparison using a data science approach (such as cosine similarity or Manhattan distance). But, the reality is, all 3 of these questions can be visualized, at least in some way, by simply looking at the correlation to time. Let's look at this chart again, this time with the correlation heatmap applied: If we look at the indicator we can see some pivotal things. These are: 1. We have 4, very strong uptrends that span both higher AND lower timeframes. We have a strong uptrend of 0.96 on the 5 minute, 50 candle period. We have a strong uptrend at the 300 candle lookback period on the 1 minute, we have a strong uptrend on the 100 day lookback on the daily timeframe period and we have a strong uptrend on the 5 minute on the 500 candle lookback period. 2. By comparison, we have 3 downtrends, all of which have correlations less than the 4 uptrends. All of the downtrends have a correlation above -0.8 (which we would want lower than -0.8 to be very strong), and all of the uptrends are greater than + 0.80. 3. We can also see that the uptrends are not confined to the smaller timeframes. We have multiple uptrends on multiple timeframes and both short term (50 to 100 candles) and long term (up to 500 candles). 4. The overall trend is strengthening to the upside manifested by a positive Max Change and a Positive Min change (to be discussed later more in-depth). With this, we can see that QQQ is actually very strong and likely will continue at least some upside. If we let this play out: We continued up, had one test and then bounced. Now, I want to specify, this indicator is not a panacea for all trading. And in relation to the 3 questions posed, they are best answered, at least quantitatively, not only by correlation but also by the aforementioned methods (CDDA, etc.) but correlation will help you get a feel for the strength or weakness present with a stock. What are some tangible applications of the indicator? For me, this indicator is used in many ways. Let me outline some ways I generally apply this indicator in my day and swing trading: 1. Gauging the strength of the stock: The indictor tells you the most prevalent behavior of the stock. Are there more downtrends than uptrends present? Are the downtrends present on the larger timeframes vs uptrends on the shorter indicating a possible bullish reversal? or vice versa? Are the trends strengthening or weakening? All of these things can be visualized with the indicator. 2. Setting parameters for other indicators: If you trade EMAs or SMAs, you may have a "one size fits all" approach. However, its actually better to adjust your EMA or SMA length to the actual trend itself. Take a look at this: This is QQQ on the 1 hour with the 200 EMA with 200 standard deviation bands added. If we look at the heatmap, we can see, yes indeed 200 has a fairly strong uptrend correlation of 0.70. But the strongest hourly uptrend is actually at 400 candles, with a correlation of 0.91. So what happens if we change the EMA length and standard deviation to 400? This: The exact areas are circled and colour coded. You can see, the 400 offers more of a better reference point of supports and resistances as well as a better overall trend fit. And this is why I never advocate for getting married to a specific EMA. If you are an EMA 200 lover or 21 or 51, know that these are not always the best depending on the trend and situation. Components of the indicator: Ah okay, now for the boring stuff. Let's go over the functionality of the indicator. I tried to keep it simple, so it is pretty straight forward. If we open the menu here are our options: We have the ability to toggle whichever timeframes we want. We also have the ability to toggle on or off the legend that displays the colour codes and the Max and Min highest change. Max and Min highest change: The max and min highest change simply display the change in correlation over the previous 14 candles. An increasing Max change means that the Max trend is strengthening. If we see an increasing Max change and an increasing Min change (the Min correlation is moving up), this means the stock is bullish. Why? Because the min (i.e. ideally a big negative number) is going up closer to the positives. Therefore, the downtrend is weakening. If we see both the Max and Min declining (red), that means the uptrend is weakening and downtrend is strengthening. Here are some examples: Final Thoughts: And that is the indicator and the theory behind the indicator. In a nutshell, to summarize, the indicator simply tracks the correlation of a ticker to time on multiple timeframes. This will allow you to make judgements about strength, sentiment and also help you adjust which tools and timeframes you are using to perform your analyses. As well, to make the indicator more user friendly, I tried to make the colours distinctively different. I was going to do different shades but it was a little difficult to visualize. As such, I have included a toggle-able legend with a breakdown of the colour codes! That's it my friends, I hope you find it useful! Safe trades and leave your questions, comments and feedback below!
Penunjuk Pine Script®
oleh Steversteves
18
Radar RiderThe Radar Rider indicator is a powerful tool that combines multiple technical indicators into a single spider plot, providing traders with a comprehensive view of market conditions. This article will delve into the workings of each built-in indicator and their arrangement within the spider plot. To better understand the structure of the script, let's first examine some of the primary functions and how they are utilized in the script. Normalize Function: normalize(close, len) The normalize function takes the close price and a length as arguments and normalizes the price data by scaling it between 0 and 1, making it easier to compare different indicators. Exponential Moving Average (EMA) Filter: bes(source, alpha) The EMA filter is used to smooth out data using an exponential moving average, with the given alpha value defining the level of smoothing. This helps reduce noise and enhance the trend-following characteristics of the indicators. Maximum and Minimum Functions: max(src) and min(src) These functions find the maximum and minimum values of the input data over a certain period, respectively. These values are used in the normalization process and can help identify extreme conditions in the market. Min-Max Function: min_max(src) The min-max function scales the input data between 0 and 100 by dividing the difference between the data point and the minimum value by the range between the maximum and minimum values. This standardizes the data, making it easier to compare across different indicators. Slope Function: slope(source, length, n_len, pre_smoothing = 0.15, post_smoothing = 0.7) The slope function calculates the slope of a given data source over a specified length, and then normalizes it using the provided normalization length. Pre-smoothing and post-smoothing values can be adjusted to control the level of smoothing applied to the data before and after calculating the slope. Percent Function: percent(x, y) The percent function calculates the percentage difference between two values, x and y. This is useful for comparing the relative change in different indicators. In the given code, there are multiple indicators included. Here, we will discuss each of them in detail. EMA Diff: The Exponential Moving Average (EMA) Diff is the difference between two EMA values of different lengths. The EMA is a type of moving average that gives more weight to recent data points. The EMA Diff helps traders identify trends and potential trend reversals. In the code, the EMA Diff is calculated using the ema_diff() function, which takes length, close, filter, and len_norm as parameters. Percent Rank EMA Diff: The Percent Rank EMA Diff is the percentage rank of the EMA Diff within a given range. It helps traders identify overbought or oversold conditions in the market. In the code, the Percent Rank EMA Diff is calculated using the percent_rank_ema_diff() function, which takes length, close, filter, and len_norm as parameters. EMA Diff Longer: The EMA Diff Longer is the difference between two EMA values of different lengths, similar to EMA Diff but with a longer period. In the code, the EMA Diff Longer is calculated using the ema_diff_longer() function, which takes length, close, filter, and len_norm as parameters. RSI Filter: The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. The RSI Filter is the RSI value passed through a filter to smooth out the data. In the code, the RSI Filter is calculated using the rsi_filter() function, which takes length, close, and filter as parameters. RSI Diff Normalized: The RSI Diff Normalized is the normalized value of the derivative of the RSI. It helps traders identify potential trend reversals in the market. In the code, the RSI Diff Normalized is calculated using the rsi_diff_normalized() function, which takes length, close, filter, len_mad, and len_norm as parameters. Z Score: The Z Score is a statistical measurement that describes a value's relationship to the mean of a group of values. In the context of the code, the Z Score is calculated for the closing price of a security. The z_score() function takes length, close, filter, and len_norm as parameters. EMA Normalized: The EMA Normalized is the normalized value of the EMA, which helps traders identify trends and potential trend reversals in the market. In the code, the EMA Normalized is calculated using the ema_normalized() function, which takes length, close, filter, and len_norm as parameters. WMA Volume Normalized: The Weighted Moving Average (WMA) Volume Normalized is the normalized value of the WMA of the volume. It helps traders identify volume trends and potential trend reversals in the market. In the code, the WMA Volume Normalized is calculated using the wma_volume_normalized() function, which takes length, volume, filter, and len_norm as parameters. EMA Close Diff Normalized: The EMA Close Diff Normalized is the normalized value of the derivative of the EMA of the closing price. It helps traders identify potential trend reversals in the market. In the code, the EMA Close Diff Normalized is calculated using the ema_close_diff_normalized() function, which takes length, close, filter, len_mad, and len_norm as parameters. Momentum Normalized: The Momentum Normalized is the normalized value of the momentum, which measures the rate of change of a security's price. It helps traders identify trends and potential trend reversals in the market. In the code, the Momentum Normalized is calculated using the momentum_normalized() function, which takes length, close, filter, and len_norm as parameters. Slope Normalized: The Slope Normalized is the normalized value of the slope, which measures the rate of change of a security's price over a specified period. It helps traders identify trends and potential trend reversals in the market. In the code, the Slope Normalized is calculated using the slope_normalized() function, which takes length, close, filter, and len_norm as parameters. Trend Intensity: Trend Intensity is a measure of the strength of a security's price trend. It is based on the difference between the average of price increases and the average of price decreases over a given period. The trend_intensity() function in the code calculates the Trend Intensity by taking length, close, filter, and len_norm as parameters. Volatility Ratio: The Volatility Ratio is a measure of the volatility of a security's price, calculated as the ratio of the True Range (TR) to the Exponential Moving Average (EMA) of the TR. The volatility_ratio() function in the code calculates the Volatility Ratio by taking length, high, low, close, and filter as parameters. Commodity Channel Index (CCI): The Commodity Channel Index (CCI) is a momentum-based oscillator used to help determine when an investment vehicle is reaching a condition of being overbought or oversold. The CCI is calculated as the difference between the mean price of a security and its moving average, divided by the mean absolute deviation (MAD) of the mean price. In the code, the CCI is calculated using the cci() function, which takes length, high, low, close, and filter as parameters. These indicators are combined in the code to create a comprehensive trading strategy that considers multiple factors such as trend strength, momentum, volatility, and overbought/oversold conditions. The combined analysis provided by these indicators can help traders make informed decisions and improve their chances of success in the market. The Radar Rider indicator is a powerful tool that combines multiple technical indicators into a single, easy-to-read visualization. By understanding the inner workings of each built-in indicator and their arrangement within the spider plot, traders can better interpret market conditions and make informed trading decisions.
Penunjuk Pine Script®
oleh The_Peaceful_Lizard
4
MA, MATR, ChEx | All in One - 4CR CUPIn trade position setup, we always need to determine the market structure and manage the position sizing in a short period of decision time. Indicators such as moving average, initial stop loss and trailing stop loss are always helpful. This indicator put all these handy tools into a single toolkit, which includes the following price action and risk management indicators: MA - Moving Average MATR - Moving Average less Average True Range ChEx - Chandelier Exit This script further enhances the setting so that you can easily customize the indicators. For both the Moving Averages and the Moving Average less Average True Range , you can pick a type of moving average which suits your analysis style from a list of commonly used moving average formulations: namely, EMA , HMA , RMA, SMA and WMA , where EMA is selected as default. The Moving Average less Average True Range , MATR, is usually applied as a reference to set the initial stop loss whenever opening a new position. The abbreviation, MATR, is picked, so that this can serve as a handy reminder of a very good trading framework as elaborates as below: M – Market Structure A – Area of Value T – Trigger R – Risk Management (aka. Exit Strategy)
Penunjuk Pine Script®
oleh earnSmartAlgorithm
4
BTC World Price: Multi-Exchange VWAPBTC World Price: Multi-Exchange VWAP __________________________ WHAT IT DOES What you see above are not Bitmex candles, but this indicator's. Bitcoin is listed on multiple exchanges. Many people have called for a single global index that would quote BTC price and volume across all exchanges: this script is such a virtual aggregate (formerly: Multi-Listed , Volume-Weighted Average Price ). It will, independently for each tick, for any time-frame: - Quote the price (O, H, L, C) and volume from Bitfinex (USD), Binance (USDT), bitFlyer (Yen), Bithumb (S. Korean Won), Coinbase (USD), Kraken (EUR) and even Bitmex (USD Contracts). - Weight each price with the corresponding volume of the exchange. - Quote the FOREX conversion rate in USD for each currency (USDJPY etc.) - Finally return global average price (candles) in USD. - Additionally provide (H+L)/2 etc. values. No more "on Coinbase this" or "on Bitstamp that", you've now got a global overview! See CoinMarketCap: Markets for reference. I've included alternative exchanges in the comments at the top of the script. __________________________ HOW TO USE IT Basically just add it to your chart and use the indicator's candles instead of the chart's main ticker. By default, BTC World Price will display candles only, but you can also display OHLC & averages (in whichever style you want). You may indeed want to hide the main symbol (top-left corner, click the 'eye' button next to its name), or switch it to something else than candles/bars (e.g. line). Make sure "Scale Price Chart Only" is disabled if you want to use the auto-zoom feature. (if other indicators are messing your zoom, you can try to select "Line with Breaks" or "Area with Breaks" to allow these to overflow from the main window) By clicking the triangle next to the indicator's name, you can select "Visual Order" (e.g "Bring to Front"). You can select regular Candles or Heikin-Ashi in Options. In the Format > Inputs tab, you can select which exchanges to quote. By default, all of them are enabled. The script also exposes the following typical values to the backend, which you can use as Price Source for other indicators: (e.g. MA, RSI, in their "Format > Input" tab) Open Price (grey) High Price (green) Low Price (red) Close Price (white) (H + L)/2 (light blue) (H + L + C)/3 (blue) (O + H + L + C)/4 (purple) They are all hidden by default (by means of maximum transparency). In the Format > Style tab, you can change their color, transparency and style (line, area, etc), as well as uncheck Candles and Wicks to hide these. If you are using "Indicator Last Value" and want to clear the clutter from all these values, simply uncheck them in Style. They will still be available as Price Source for other indicators. You can also choose to scale it to the left, right (default) or "screen" (no scaling). Once you're satisfied with your Style, you may click "Default"> "Save as default" in the botton-left. Everytime you load the indicator, it will look the same. ("Reset Settings" will reset to the script's defaults) __________________________ Please leave feedback below in comments or pm me directly for bugs and suggestions.
Penunjuk Pine Script®
oleh PhiChris
3