Mulai

SMI

Custom Stochastic Momentum Index (SMI)📊 Custom Stochastic Momentum Index (SMI) Custom Stochastic Momentum Index (SMI) is a refined momentum oscillator designed to identify trend strength, reversals, and overbought/oversold conditions with higher accuracy than traditional stochastic indicators. This version gives traders full control over smoothing and signal calculation, making it suitable for intraday, swing, and positional trading across all markets. 🔹 Key Features Fully customizable %K Length Adjustable %K Smoothing and Double Smoothing Configurable %D Period User-selectable %D Moving Average Type SMA EMA WMA RMA Fixed and proven levels: Overbought: +40 Oversold: −40 Automatic shaded zones above overbought and below oversold levels Clear K–D crossover labels for precise entry and exit timing Clean, non-repainting logic 📈 How to Use Bullish Setup Look for %K crossing above %D near or below −40 Bearish Setup Look for %K crossing below %D near or above +40 Trend Confirmation Trade crossovers in the direction of the higher-timeframe trend Works best when combined with: Price Action Support & Resistance Market Structure / SMC concepts 🎯 Best For Intraday traders Swing traders Momentum-based strategies Confirmation with structure or breakout systems ⚠️ Disclaimer This indicator is for educational and analytical purposes only. It does not provide financial advice. Always use proper risk management.
Indikator Pine Script®
oleh BK_QuantDesk
ROC + SMI Auto Adjust This indicator combines the Rate of Change (ROC) and the Stochastic Momentum Index (SMI) with automatically adjusted parameters for different time frames (short, medium, long). It normalizes the ROC to match the SMI levels, displays the ROC as a histogram and the SMI as lines, highlights overbought/oversold zones and includes a settings table. Ideal for analyzing momentum on different time frames. Key Features: Automatic Parameter Adjustment: The script detects the current chart time frame (e.g. 1-minute, 1-hour, daily) and adjusts the parameters for the ROC and SMI accordingly. Parameters such as ROC length, SMI length and smoothing periods are optimized for short, medium and long term time frames. Rate of Change (ROC): ROC measures the percentage change in price over a specified period. The script normalizes the ROC values ​​to match the SMI range, making it easier to compare the two indicators on the same scale. The ROC is displayed as a histogram, where positive values ​​are colored green and negative values ​​are colored red. Stochastic Momentum Index (SMI): SMI is a momentum oscillator that identifies overbought and oversold conditions. The script calculates the SMI and its signal line, plotting them on the chart. Overbought and oversold levels are displayed as dotted lines for convenience. SMI and SMI Signal Crossover: When the main SMI crosses the signal line from below upwards, it may be a buy signal (bullish signal). When the SMI crosses the signal line from above downwards, it may be a sell signal (bearish signal). Configurable Inputs: Users can use the automatically adjusted settings or manually override the parameters (e.g. ROC length, SMI length, smoothing periods). Overbought and oversold levels for SMI are also configurable. Parameter Table: A table is displayed on the chart showing the current parameters (e.g. timeframe, ROC length, SMI length) for transparency and debugging. The position of the table is configurable (e.g. top left, bottom right). How it works: The script first detects the chart timeframe and classifies it as short-term (e.g. 1M, 5M), medium-term (e.g. 1H, 4H) or long-term (e.g. D1, W1). Based on the timeframe, it sets default values ​​for the ROC and SMI parameters. ROC and SMI are calculated and normalized so that they can be compared on the same scale. ROC is displayed as a histogram, while SMI and its signal line are displayed as lines. Overbought and oversold levels are displayed as horizontal lines. Use cases: Trend identification: ROC helps to identify the strength of the trend, while SMI indicates overbought/oversold conditions. Momentum analysis: The combination of ROC and SMI provides insight into both price momentum and potential reversals. Time frame flexibility: The auto-adjustment feature makes the script suitable for scalping (short-term), swing trading (medium-term) and long-term investing.
Indikator Pine Script®
oleh X_Brain
Smart Money Index + True Strength IndexThe Smart Money Index + True Strength Index indicator is a combination of two popular technical analysis indicators: the Smart Money Index (SMI) and the True Strength Index (TSI). This combined indicator helps traders identify potential entry points for long and short positions based on signals from both indexes. Main Components: Smart Money Index (SMI): The SMI measures the difference between the closing and opening price of a candle multiplied by the trading volume over a certain period of time. This allows you to assess the activity of large players ("smart money") in the market. If the SMI value is above a certain threshold (smiThreshold), it may indicate a bullish trend, and if lower, it may indicate a bearish trend. True Strength Index (TSI): The TSI is an oscillator that measures the strength of a trend by comparing the price change of the current bar with the previous bar. It uses two exponential moving averages (EMAS) to smooth the data. TSI values can fluctuate around zero, with values above the overbought level indicating a possible downward correction, and values below the oversold level signaling a possible upward correction. Parameters: SMI Length: Defines the number of candles used to calculate the average SMI value. The default value is 14. SMI Threshold: A threshold value that is used to determine a buy or sell signal. The default value is 0. Length of the first TSI smoothing (tsiLength1): The length of the first EMA for calculating TSI. The default value is 25. Second TSI smoothing length (tsiLength2): The length of the second EMA for additional smoothing of TSI values. The default value is 13. TSI Overbought level: The level at which the market is considered to be overbought. The default value is 25. Oversold level TSI: The level at which it is considered that the market is in an oversold state. The default value is -25. Logic of operation: SMI calculation: First, the difference between the closing and opening price of each candle (close - open) is calculated. This difference is then multiplied by the trading volume. The resulting product is averaged using a simple moving average (SMA) over a specified period (smiLength). Calculation of TSI: The price change relative to the previous bar is calculated (close - close ). The first EMA with the length tsiLength1 is applied. Next, a second EMA with a length of tsiLength2 is applied to obtain the final TSI value. The absolute value of price changes is calculated in the same way, and two emas are also applied. The final TSI index is calculated as the ratio of these two values multiplied by 100. Graphical representation: The SMI and TSI lines are plotted on the graph along with their respective thresholds. For SMI, the line is drawn in orange, and the threshold level is dotted in gray. For the TSI, the line is plotted in blue, the overbought and oversold levels are indicated by red and green dotted lines, respectively. Conditions for buy/sell signals: A buy (long) signal is generated when: SMI is greater than the threshold (smi > smiThreshold) TSI crosses the oversold level from bottom to top (ta.crossover(tsi, oversold)). A sell (short) signal is generated when: SMI is less than the threshold (smi < smiThreshold) TSI crosses the overbought level from top to bottom (ta.crossunder(tsi, overbought)). Signal display: When the conditions for a long or short are met, labels labeled "LONG" or "SHORT" appear on the chart. The label for the long is located under the candle and is colored green, and for the short it is above the candle and is colored red. Notification generation: The indicator also supports notifications via the TradingView platform. Notifications are sent when conditions arise for a long or short position. This combined indicator provides the trader with the opportunity to use both SMI and TSI signals simultaneously, which can improve the accuracy of trading decisions.
Indikator Pine Script®
oleh Zdorman
3
SMI Ergodic Indicator/Oscillator▮ Introduction The Stochastic Momentum Index Ergodic Indicator (SMII) is a technical analysis tool designed to predict trend reversals in the price of an asset. It functions as a momentum oscillator, measuring the ratio of the smoothed price change to the smoothed absolute price change over a given number of previous periods. The Ergodic SMI is based on the True Strength Index (TSI) and integrates a signal line, which is an exponential moving average (EMA) of the SMI indicator itself. It provides a clearer picture of market trends than the traditional stochastic oscillator by incorporating the concept of "ergodicity", which helps remove market noise. On ther other hand, the Stochastic Momentum Index Ergodic Oscillator (SMIO) is a histogram that measures the difference between TSI and it's signal line. By default, in TradingView both SMII and SMIO are provided independently. Here in this script these two indicators are combined, providing a more comprehensive view of price direction and market strength. ▮ Motivation: why another indicator? The intrinsic value of this indicator lies in the fact that it allows fine adjustments in both calculation parameters, data source and visualization, features that are not present in the standard indicators or similar. Also, trend lines breakouts and divergences detector were added. ▮ What to look for When using the indicator, there are a few things to look out for. First, look at the SMI signal line. When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal. Also, pay attention to divergences between the SMI and the price. If price is rising but the SMI is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing. Likewise, if price is falling but the SMI is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing. Divergences can be considered in both indicator and/or histogram. Examples: ▮ Notes The indicator presented here offers both the "SMII" and the "SMIO", that is, the "Stochastic Momentum Index Ergodic Indicator" together with the "Stochastic Momentum Index Ergodic Oscillator" (histogram), as per the documentation described in reference links. So it is important to highlight the differences in relation to my other indicator, Stochastic Momentum Index (SMI) Refurbished . This last one is purely based on the **SMI**, which is implemented using smoothed ratio between the relative range and the high/low range. Although they may seem the same in some situations, the calculation is actually different. The TSI tends to be more responsive at the expense of being noisier, while the SMI tends to be smoother. Which of these two indicators is best depends on the situation, the context, and the analyst's personal preference. Please refer to reference links to more info. ▮ References SMI documentation SMII documentation SMIO documentation
Indikator Pine Script®
oleh andre_007
4
SMI Ergodic Indicator/Oscillator of Money Flow Index▮ Introduction The Stochastic Momentum Index Ergodic (SMII) indicator is a technical analysis tool designed to predict trend reversals in the price of an asset. It functions as a momentum oscillator, measuring the ratio of the smoothed price change to the smoothed absolute price change over a given number of previous periods. The Ergodic SMI is based on the True Strength Index (TSI) and integrates a signal line, which is an exponential moving average (EMA) of the SMI indicator itself. The Ergodic SMI oscillator provides a clearer picture of market trends than the traditional stochastic oscillator by incorporating the concept of 'ergodicity', which helps remove market noise. On ther other hand, MFI (Money Flow Index) is a technical analysis indicator used to measure the inflow of money into an asset and thus help identify buying and selling pressure in a given financial instrument. When these two indicators are combined, they can provide a more comprehensive view of price direction and market strength. ▮ Motivation: why another indicator? By combining SMII with MFI, we can gain even more insights into the market. One way to do this is to use the MFI as an input to the SMII, rather than just using price. This means we are measuring momentum based on buying and selling pressure rather than just price. Furthermore, there is the possibility of making several fine adjustments to both the calculation and visualization parameters that are not present in other indicators. ▮ What to look for When using the SMII MFI indicator, there are a few things to look out for. First, look at the SMII signal line. When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal. Also, pay attention to divergences between the SMII and the price. If price is rising but the SMII is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing. Likewise, if price is falling but the SMII is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing. Divergences can be considered in both indicator and/or histogram. Examples: ▮ Notes The indicator presented here offers both the 'SMII' and the 'SMIO', that is, the 'Stochastic Momentum Index Ergodic Indicator' together with the 'Stochastic Momentum Index Ergodic Oscillator' (histogram), as per the documentation described in reference links. So it is important to highlight the differences in relation to my other indicator, the 'Stochastic Momentum Index (SMI) of Money Flow Index (MFI)': This last one is purely based on the SMI , which is implemented using SMA smoothing for the relative range and the high/low range. Although they may seem the same in some situations, the calculation is actually different. The TSI tends to be more responsive at the expense of being noisier, while the SMI tends to be smoother. Which of these two indicators is best depends on the situation, the context, and the analyst's personal preference. Please refer to reference links to more info. ▮ References SMI documentation SMII documentation SMIO documentation MFI documentation
Indikator Pine Script®
oleh andre_007
Harmonic Trend Fusion [kikfraben]📈 Harmonic Trend Fusion - Your Personal Trading Assistant This versatile tool combines multiple indicators to provide a holistic view of market trends and potential signals. 🚀 Key Features: Multi-Indicator Synergy: Benefit from the combined insights of Aroon, DMI, MACD, Parabolic SAR, RSI, Supertrend, and SMI Ergodic Oscillator, all in one powerful indicator. Customizable Plot Options: Tailor your chart by choosing which signals to visualize. Whether you're interested in trendlines, histograms, or specific indicators, the choice is yours. Color-Coded Trends: Quickly identify bullish and bearish trends with the color-coded visualizations. Stay ahead of market movements with clear and intuitive signals. Table Display: Stay informed at a glance with the interactive table. It dynamically updates to reflect the current market sentiment, providing you with key information and trend direction. Precision Control: Fine-tune your analysis with precision control over indicator parameters. Adjust lengths, colors, and other settings to align with your unique trading strategy. 🛠️ How to Use: Customize Your View: Select which indicators to display and adjust plot options to suit your preferences. Table Insights: Monitor the dynamic table for real-time updates on market sentiment and trend direction. Indicator Parameters: Experiment with different lengths and settings to find the combination that aligns with your trading style. Whether you're a seasoned trader or just starting, Harmonic Trend Fusion equips you with the tools you need to navigate the markets confidently. Take control of your trading journey and enhance your decision-making process with this comprehensive trading assistant.
Indikator Pine Script®
oleh kikfraben
1
Stochastic Momentum Index (SMI) of Money Flow Index (MFI)"He who does not know how to make predictions and makes light of his opponents, underestimating his ability, will certainly be defeated by them." (Sun Tzu - The Art of War) ▮ Introduction The Stochastic Momentum Index (SMI) is a technical analysis indicator that uses the difference between the current closing price and the high or low price over a specific time period to measure price momentum. On the other hand, the Money Flow Index (MFI) is an indicator that uses volume and price to measure buying and selling pressure. When these two indicators are combined, they can provide a more comprehensive view of price direction and market strength. ▮ Improvements By combining SMI with MFI, we can gain even more insights into the market. One way to do this is to use the MFI as an input to the SMI, rather than just using price. This means we are measuring momentum based on buying and selling pressure rather than just price. Another way to improve this indicator is to adjust the periods to suit your specific trading needs. ▮ What to look When using the SMI MFI indicator, there are a few things to look out for. First, look at the SMI signal line. When the line crosses above -40, it is considered a buy signal, while the crossing below +40 is considered a sell signal. Also, pay attention to divergences between the SMI MFI and the price. If price is rising but the SMI MFI is showing negative divergence, it could indicate that momentum is waning and a reversal could be in the offing. Likewise, if price is falling but the SMI MFI is showing positive divergence, this could indicate that momentum is building and a reversal could also be in the offing. In the examples below, I show the use in conjunction with the price SMI, in which the MFI SMI helps to anticipate divergences: In summary, the SMI MFI is a useful indicator that can provide valuable insights into market direction and price strength. By adjusting the timeframes and paying attention to divergences and signal line crossovers, traders can use it as part of a broader trading strategy. However, remember that no indicator is a magic bullet and should always be used in conjunction with other analytics and indicators to make informed trading decisions.
Indikator Pine Script®
oleh andre_007
57
Stochastic Momentum Index (SMI) Refurbished▮Introduction Stochastic Momentum Index (SMI) Indicator is a technical indicator used in technical analysis of stocks and other financial instruments. It was developed by William Blau in 1993 and is considered to be a momentum indicator that can help identify trend reversal points. Basically, it's a combination of the True Strength Index with a signal line to help identify turning points in the market. SMI uses the stochastic formula to compare the current closing price of an asset with the maximum and minimum price range over a specific period. He then compares this ratio to a short-term moving average to create an indicator that oscillates between -100 and +100. When the SMI is above 0, it is considered positive, indicating that the current price is above the short-term moving average. When it is below 0, it is considered negative, indicating that the current price is below the short-term moving average. Traders use the SMI to identify potential trend reversal points. When the indicator reaches an extreme level above +40 or below -40, a trend reversal is possible. Furthermore, traders also watch for divergences between the SMI and the asset price to identify potential trading opportunities. It is important to remember that the SMI is a technical indicator and as such should be used in conjunction with other technical analysis tools to get a complete picture of the market situation. ▮ Improvements The following features were added: 1. 7 color themes, for TSI, Signal and Histogram. 2. Possibility to customize moving average type for TSI/Signal. 3. Dynamic Zones. 4. Crossing Alerts. 5. Alert points on specific ranges. 5. Coloring of bars according to TSI/Signal/Histogram. ▮ Themes Examples: ▮ About Dynamic Zones 'Most indicators use a fixed zone for buy and sell signals. Here's a concept based on zones that are responsive to the past levels of the indicator.' The concept of Dynamic Zones was described by Leo Zamansky ( Ph .D.) and David Stendahl, in the magazine of Stocks & Commodities V15:7 (306-310). Basically, a statistical calculation is made to define the extreme levels, delimiting a possible overbought/oversold region. Given user-defined probabilities, the percentile is calculated using the method of Nearest Rank. It is calculated by taking the difference between the data point and the number of data points below it, then dividing by the total number of data points in the set. The result is expressed as a percentage. This provides a measure of how a particular value compares to other values in a data set, identifying outliers or values that are significantly higher or lower than the rest of the data. ▮ What to look for 1. Divergences/weakening of a trend/reversal: 2. Supports, resistances, pullbacks: 3. Overbought/Oversold Points: ▮ Thanks and Credits - TradingView and PineCoders: for SMI and Moving Averages - allanster: for Dynamic Zones
Indikator Pine Script®
oleh andre_007
26
MomentumIndicatorsLibrary "MomentumIndicators" This is a library of 'Momentum Indicators', also denominated as oscillators. The purpose of this library is to organize momentum indicators in just one place, making it easy to access. In addition, it aims to allow customized versions, not being restricted to just the price value. An example of this use case is the popular Stochastic RSI. # Indicators: 1. Relative Strength Index (RSI): Measures the relative strength of recent price gains to recent price losses of an asset. 2. Rate of Change (ROC): Measures the percentage change in price of an asset over a specified time period. 3. Stochastic Oscillator (Stoch): Compares the current price of an asset to its price range over a specified time period. 4. True Strength Index (TSI): Measures the price change, calculating the ratio of the price change (positive or negative) in relation to the absolute price change. The values of both are smoothed twice to reduce noise, and the final result is normalized in a range between 100 and -100. 5. Stochastic Momentum Index (SMI): Combination of the True Strength Index with a signal line to help identify turning points in the market. 6. Williams Percent Range (Williams %R): Compares the current price of an asset to its highest high and lowest low over a specified time period. 7. Commodity Channel Index (CCI): Measures the relationship between an asset's current price and its moving average. 8. Ultimate Oscillator (UO): Combines three different time periods to help identify possible reversal points. 9. Moving Average Convergence/Divergence (MACD): Shows the difference between short-term and long-term exponential moving averages. 10. Fisher Transform (FT): Normalize prices into a Gaussian normal distribution. 11. Inverse Fisher Transform (IFT): Transform the values of the Fisher Transform into a smaller and more easily interpretable scale is through the application of an inverse transformation to the hyperbolic tangent function. This transformation takes the values of the FT, which range from -infinity to +infinity, to a scale limited between -1 and +1, allowing them to be more easily visualized and compared. 12. Premier Stochastic Oscillator (PSO): Normalizes the standard stochastic oscillator by applying a five-period double exponential smoothing average of the %K value, resulting in a symmetric scale of 1 to -1 # Indicators of indicators: ## Stochastic: 1. Stochastic of RSI (Relative Strengh Index) 2. Stochastic of ROC (Rate of Change) 3. Stochastic of UO (Ultimate Oscillator) 4. Stochastic of TSI (True Strengh Index) 5. Stochastic of Williams R% 6. Stochastic of CCI (Commodity Channel Index). 7. Stochastic of MACD (Moving Average Convergence/Divergence) 8. Stochastic of FT (Fisher Transform) 9. Stochastic of Volume 10. Stochastic of MFI (Money Flow Index) 11. Stochastic of On OBV (Balance Volume) 12. Stochastic of PVI (Positive Volume Index) 13. Stochastic of NVI (Negative Volume Index) 14. Stochastic of PVT (Price-Volume Trend) 15. Stochastic of VO (Volume Oscillator) 16. Stochastic of VROC (Volume Rate of Change) ## Inverse Fisher Transform: 1.Inverse Fisher Transform on RSI (Relative Strengh Index) 2.Inverse Fisher Transform on ROC (Rate of Change) 3.Inverse Fisher Transform on UO (Ultimate Oscillator) 4.Inverse Fisher Transform on Stochastic 5.Inverse Fisher Transform on TSI (True Strength Index) 6.Inverse Fisher Transform on CCI (Commodity Channel Index) 7.Inverse Fisher Transform on Fisher Transform (FT) 8.Inverse Fisher Transform on MACD (Moving Average Convergence/Divergence) 9.Inverse Fisher Transfor on Williams R% (Williams Percent Range) 10.Inverse Fisher Transfor on CMF (Chaikin Money Flow) 11.Inverse Fisher Transform on VO (Volume Oscillator) 12.Inverse Fisher Transform on VROC (Volume Rate of Change) ## Stochastic Momentum Index: 1.Stochastic Momentum Index of RSI (Relative Strength Index) 2.Stochastic Momentum Index of ROC (Rate of Change) 3.Stochastic Momentum Index of VROC (Volume Rate of Change) 4.Stochastic Momentum Index of Williams R% (Williams Percent Range) 5.Stochastic Momentum Index of FT (Fisher Transform) 6.Stochastic Momentum Index of CCI (Commodity Channel Index) 7.Stochastic Momentum Index of UO (Ultimate Oscillator) 8.Stochastic Momentum Index of MACD (Moving Average Convergence/Divergence) 9.Stochastic Momentum Index of Volume 10.Stochastic Momentum Index of MFI (Money Flow Index) 11.Stochastic Momentum Index of CMF (Chaikin Money Flow) 12.Stochastic Momentum Index of On Balance Volume (OBV) 13.Stochastic Momentum Index of Price-Volume Trend (PVT) 14.Stochastic Momentum Index of Volume Oscillator (VO) 15.Stochastic Momentum Index of Positive Volume Index (PVI) 16.Stochastic Momentum Index of Negative Volume Index (NVI) ## Relative Strength Index: 1. RSI for Volume 2. RSI for Moving Average rsi(source, length)   RSI (Relative Strengh Index). Measures the relative strength of recent price gains to recent price losses of an asset.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of RSI roc(source, length)   ROC (Rate of Change). Measures the percentage change in price of an asset over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of ROC stoch(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Stochastic Oscillator. Compares the current price of an asset to its price range over a specified time period.   Parameters:      kLength      kSmoothing : (int) Period for smoothig stochastic      dSmoothing : (int) Period for signal (moving average of stochastic)      maTypeK : (int) Type of Moving Average for Stochastic Oscillator      maTypeD : (int) Type of Moving Average for Stochastic Oscillator Signal      almaOffsetKD : (float) Offset for Arnaud Legoux Moving Average for Oscillator and Signal      almaSigmaKD : (float) Sigma for Arnaud Legoux Moving Average for Oscillator and Signal      lsmaOffSetKD : (int) Offset for Least Squares Moving Average for Oscillator and Signal   Returns: A tuple of Stochastic Oscillator and Moving Average of Stochastic Oscillator stoch(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Stochastic Oscillator. Customized source. Compares the current price of an asset to its price range over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      kLength : (int) Period of loopback to calculate the stochastic      kSmoothing : (int) Period for smoothig stochastic      dSmoothing : (int) Period for signal (moving average of stochastic)      maTypeK : (int) Type of Moving Average for Stochastic Oscillator      maTypeD : (int) Type of Moving Average for Stochastic Oscillator Signal      almaOffsetKD : (float) Offset for Arnaud Legoux Moving Average for Stoch and Signal      almaSigmaKD : (float) Sigma for Arnaud Legoux Moving Average for Stoch and Signal      lsmaOffSetKD : (int) Offset for Least Squares Moving Average for Stoch and Signal   Returns: A tuple of Stochastic Oscillator and Moving Average of Stochastic Oscillator tsi(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet)   TSI (True Strengh Index). Measures the price change, calculating the ratio of the price change (positive or negative) in relation to the absolute price change. The values of both are smoothed twice to reduce noise, and the final result is normalized in a range between 100 and -100.   Parameters:      source : (float) Source of series (close, high, low, etc.)      shortLength : (int) Short length      longLength : (int) Long length      maType : (int) Type of Moving Average for TSI      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: (float) TSI smi(sourceTSI, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   SMI (Stochastic Momentum Index). A TSI (True Strengh Index) plus a signal line.   Parameters:      sourceTSI : (float) Source of series for TSI (close, high, low, etc.)      shortLengthTSI : (int) Short length for TSI      longLengthTSI : (int) Long length for TSI      maTypeTSI : (int) Type of Moving Average for Signal of TSI      almaOffsetTSI : (float) Offset for Arnaud Legoux Moving Average      almaSigmaTSI : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSetTSI : (int) Offset for Least Squares Moving Average      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal   Returns: A tuple with TSI, signal of TSI and histogram of difference wpr(source, length)   Williams R% (Williams Percent Range). Compares the current price of an asset to its highest high and lowest low over a specified time period.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback   Returns: (float) Series of Williams R% cci(source, length, maType, almaOffset, almaSigma, lsmaOffSet)   CCI (Commodity Channel Index). Measures the relationship between an asset's current price and its moving average.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period of loopback      maType : (int) Type of Moving Average      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: (float) Series of CCI ultimateOscillator(fastLength, middleLength, slowLength)   UO (Ultimate Oscilator). Combines three different time periods to help identify possible reversal points.   Parameters:      fastLength : (int) Fast period of loopback      middleLength : (int) Middle period of loopback      slowLength : (int) Slow period of loopback   Returns: (float) Series of Ultimate Oscilator ultimateOscillator(source, fastLength, middleLength, slowLength)   UO (Ultimate Oscilator). Customized source. Combines three different time periods to help identify possible reversal points.   Parameters:      source : (float) Source of series (close, high, low, etc.)      fastLength : (int) Fast period of loopback      middleLength : (int) Middle period of loopback      slowLength : (int) Slow period of loopback   Returns: (float) Series of Ultimate Oscilator macd(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet)   MACD (Moving Average Convergence/Divergence). Shows the difference between short-term and long-term exponential moving averages.   Parameters:      source : (float) Source of series (close, high, low, etc.)      fastLength : (int) Period for fast moving average      slowLength : (int) Period for slow moving average      signalLength : (int) Signal length      maTypeFast : (int) Type of fast moving average      maTypeSlow : (int) Type of slow moving average      maTypeMACD : (int) Type of MACD moving average      almaOffset : (float) Offset for Arnaud Legoux Moving Average      almaSigma : (float) Sigma for Arnaud Legoux Moving Average      lsmaOffSet : (int) Offset for Least Squares Moving Average   Returns: A tuple with MACD, Signal, and Histgram fisher(length)   Fisher Transform. Normalize prices into a Gaussian normal distribution.   Parameters:      length   Returns: A tuple with Fisher Transform and signal fisher(source, length)   Fisher Transform. Customized source. Normalize prices into a Gaussian normal distribution.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length   Returns: A tuple with Fisher Transform and signal inverseFisher(source, length, subtrahend, denominator)   Inverse Fisher Transform. Transform the values of the Fisher Transform into a smaller and more easily interpretable scale is through the application of an inverse transformation to the hyperbolic tangent function. This transformation takes the values of the FT, which range from -infinity to +infinity, to a scale limited between -1 and +1, allowing them to be more easily visualized and compared.   Parameters:      source : (float) Source of series (close, high, low, etc.)      length : (int) Period for loopback      subtrahend : (int) Denominator. Useful in unbounded indicators. For example, in CCI.      denominator   Returns: (float) Series of Inverse Fisher Transform premierStoch(length, smoothlen)   Premier Stochastic Oscillator (PSO). Normalizes the standard stochastic oscillator by applying a five-period double exponential smoothing average of the %K value, resulting in a symmetric scale of 1 to -1.   Parameters:      length : (int) Period for loopback      smoothlen : (int) Period for smoothing   Returns: (float) Series of PSO premierStoch(source, smoothlen, subtrahend, denominator)   Premier Stochastic Oscillator (PSO) of custom source. Normalizes the source by applying a five-period double exponential smoothing average.   Parameters:      source : (float) Source of series (close, high, low, etc.)      smoothlen : (int) Period for smoothing      subtrahend : (int) Denominator. Useful in unbounded indicators. For example, in CCI.      denominator   Returns: (float) Series of PSO stochRsi(sourceRSI, lengthRSI, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      sourceRSI      lengthRSI      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochRoc(sourceROC, lengthROC, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      sourceROC      lengthROC      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochUO(fastLength, middleLength, slowLength, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      fastLength      middleLength      slowLength      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochTSI(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      shortLength      longLength      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochWPR(source, length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochCCI(source, length, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochFT(length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVolume(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochMFI(source, length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochOBV(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochPVI(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochNVI(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochPVT(source, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      source      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD stochVROC(length, kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD)   Parameters:      length      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD iftRSI(sourceRSI, lengthRSI, lengthIFT)   Parameters:      sourceRSI      lengthRSI      lengthIFT iftROC(sourceROC, lengthROC, lengthIFT)   Parameters:      sourceROC      lengthROC      lengthIFT iftUO(fastLength, middleLength, slowLength, lengthIFT)   Parameters:      fastLength      middleLength      slowLength      lengthIFT iftStoch(kLength, kSmoothing, dSmoothing, maTypeK, maTypeD, almaOffsetKD, almaSigmaKD, lsmaOffSetKD, lengthIFT)   Parameters:      kLength      kSmoothing      dSmoothing      maTypeK      maTypeD      almaOffsetKD      almaSigmaKD      lsmaOffSetKD      lengthIFT iftTSI(source, shortLength, longLength, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      shortLength      longLength      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftCCI(source, length, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      length      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftFisher(length, lengthIFT)   Parameters:      length      lengthIFT iftMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftWPR(source, length, lengthIFT)   Parameters:      source      length      lengthIFT iftMFI(source, length, lengthIFT)   Parameters:      source      length      lengthIFT iftCMF(length, lengthIFT)   Parameters:      length      lengthIFT iftVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, lengthIFT)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      lengthIFT iftVROC(length, lengthIFT)   Parameters:      length      lengthIFT smiRSI(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiROC(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVROC(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiWPR(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiFT(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiFT(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiCCI(source, length, maTypeCCI, almaOffsetCCI, almaSigmaCCI, lsmaOffSetCCI, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      maTypeCCI      almaOffsetCCI      almaSigmaCCI      lsmaOffSetCCI      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiUO(fastLength, middleLength, slowLength, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      fastLength      middleLength      slowLength      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiMACD(source, fastLength, slowLength, signalLength, maTypeFast, maTypeSlow, maTypeMACD, almaOffset, almaSigma, lsmaOffSet, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      fastLength      slowLength      signalLength      maTypeFast      maTypeSlow      maTypeMACD      almaOffset      almaSigma      lsmaOffSet      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVol(shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiMFI(source, length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiCMF(length, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      length      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiOBV(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiPVT(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiVO(shortLen, longLen, maType, almaOffset, almaSigma, lsmaOffSet, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      shortLen      longLen      maType      almaOffset      almaSigma      lsmaOffSet      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiPVI(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal smiNVI(source, shortLengthTSI, longLengthTSI, maTypeTSI, almaOffsetTSI, almaSigmaTSI, lsmaOffSetTSI, maTypeSignal, smoothingLengthSignal, almaOffsetSignal, almaSigmaSignal, lsmaOffSetSignal)   Parameters:      source      shortLengthTSI      longLengthTSI      maTypeTSI      almaOffsetTSI      almaSigmaTSI      lsmaOffSetTSI      maTypeSignal      smoothingLengthSignal      almaOffsetSignal      almaSigmaSignal      lsmaOffSetSignal rsiVolume(length)   Parameters:      length rsiMA(sourceMA, lengthMA, maType, almaOffset, almaSigma, lsmaOffSet, lengthRSI)   Parameters:      sourceMA      lengthMA      maType      almaOffset      almaSigma      lsmaOffSet      lengthRSI
Perpustakaan Pine Script®
oleh andre_007
6
Multi SMI Ergodic OscillatorThe Multi SMI Ergodic Oscillator (Multi SMIEO) indicator can be used to identify potential buy and sell signals based on the relationship between the TSI and EMA lines. The script is creating an indicator that plots multiple (3) sets of Time Series Indicator (TSI-Indicator) and Exponential Moving Average (EMA-Signal) lines as a single indicator. The TSI is a momentum oscillator that helps identify overbought and oversold conditions. It is calculated using the close prices of an asset, a short-term moving average, and a long-term moving average. The script uses three different pairs of input values for the short-term and long-term periods, which can be adjusted by the user. The EMA is a type of moving average that gives more weight to recent prices. It is calculated by applying a weighting factor to the most recent price, and then adding that weighted value to the previous EMA value. The script uses three different input values for the length of the EMA, which can also be adjusted by the user. After calculating the TSI and EMA for each set, the script plots them on the same graph, with different colors and widths to differentiate them. The three sets of TSI and EMA lines are plotted to allow the user to compare the results of different periods. The script also plots a horizontal line at zero, which is used as a reference point for the oscillations of the indicator lines. One way to use this indicator is to look for crossovers between the TSI and the EMA lines. A bullish crossover occurs when the TSI crosses above the EMA. This suggests that the buying pressure is increasing and a potential buy signal is generated. A bearish crossover occurs when the TSI crosses below the EMA. This suggests that the selling pressure is increasing and a potential sell signal is generated. Some other ways that the indicator can be used include: 1. Identifying trends: The TSI and EMA lines can be used to identify the direction of the trend. An uptrend is present when the TSI and EMA lines are both trending upwards, while a downtrend is present when the TSI and EMA lines are both trending downwards. 2. Overbought and oversold conditions: The TSI can be used to identify overbought and oversold conditions. When the TSI is above the upper limit of the range, the asset is considered overbought and may be due for a price correction. Conversely, when the TSI is below the lower limit of the range, the asset is considered oversold and may be due for a price rebound. 3. Confirming price action: The Multi SMIEO indicator can be used to confirm price action. If a bullish divergence is present, it confirms a potential bullish reversal. If a bearish divergence is present, it confirms a potential bearish reversal. 4. Multiple time frame analysis: By using different periods for the TSI and EMA lines, the indicator can be used to analyze the asset on multiple time frames. It can be useful to compare the results of different periods to get a better understanding of the asset's price movements. 5. Risk management: This indicator can be used as an element of risk management strategy, it can help traders to identify overbought and oversold conditions to set stop loss or take profit levels. The Multi SMI Ergodic Oscillator (Multi SMIEO) is a versatile indicator that can be used in a number of ways to analyze the price movements of an asset. It can be used to identify potential buy and sell signals, trends, overbought and oversold conditions, and to confirm price action. By using different periods for the TSI and EMA lines, the indicator can also be used to analyze the asset on multiple time frames. However, it is important to remember that indicators are based on historical data, and past performance does not guarantee future results. It is important to use the indicator as part of a comprehensive trading strategy that includes risk management and other analysis techniques, such as fundamental and technical analysis. It is also important to keep in mind that indicators are not a standalone solution for trading, they should be used in conjunction with other market analysis and research techniques to generate better results. Lastly, it is important to keep in mind that trading in financial markets comes with a certain level of risk and it is crucial to always have a proper risk management plan in place. Never invest more than you can afford to lose.
Indikator Pine Script®
oleh Jake_from_State_Farm
2
DMI Stochastic Momentum IndexConcepts This is an improved version of the "DMI Stochastic Extreme Refurbished" indicator. For more information on the main concepts of this indicator, please access this link: The difference is that here, instead of using the traditional stochastic oscillator, I implemented the use of the Stochastic Momentum Index (SMI). Stochastic Momentum Index (SMI) The SMI is considered a refinement of the stochastic oscillator. It calculates the distance of the current closing price as it relates to the median of the high/low range of price. William Blau developed the SMI, which attempts to provide a more reliable indicator, less subject to false swings. The original stochastic is limited to values from 0 to 100, while the SMI varies between the range of -100 to 100. (Investopedia) It is worth mentioning that the SMI presented in this script applies to the DMI value, not the screen price.
Indikator Pine Script®
oleh andre_007
2
All TimeFrame OscillatorsI have always fighted to understand the market direction because it looks different on different timeframes. I wanted an indicator where I can see all the different timeframes at once. This indicator shows already existing oscillators but not only in the current chart's timeframe, but all the most important higer timeframes at once. I have started with the stoch, then added as many oscillators as I could. Experimenting with this I have saw that confluence of 4H 1D and 1W Stoch can be very interesting and can highlight higher timeframe take profit areas and sometimes major tops/bottoms. Also bounces can be interesting when a lower timeframe stoch is bounced or rejected from a higher one. Oscillators: Stoch - Stochastic Oscillator SMI - Stochastic Momentum Index Rsi - Relative Strength Index StochRsi - Stochastic RSI WaveTrend - Vumanchu alias Market Cypher Wave Trend line CCI - Commodity Channel Index CCIStoch - Stochastic CCI Williams Percent Range - Williams %R Norm. MACD - Normalized Moving Average Convergence Divergence Norm. MACD Hist - Normalized MACD Histogramm PVT - Normalized Price Volume Trend MFI - Money Flow Index CMF - Chaikin Money Flow Chande Momentum - Chande Momentum Volume - Normalized Volume CandleValue - Vumanchu alias Market Cypher MoneyFlow BBWP - Bollinger Band Width Percentile Line Type Smooth: lines are smoothed, but the actualy not closed values are not shown Step: Step lines, the actually open timeframes are calculated as they closed at the current values Plot Oscillator or it's Slope: its possible to not plot the oscillator but it's slope Print dots when: Cross Up/Down oversold/overbougt level - best for most oscillators. for example when Stoch crosses above 20 or below 80 Cross os/ob and the one higher TF is about to cross - when it's crosses beolw 80 and the higher timeframe oscillator is still above ans sloping down Cross above/below middle line - for example on RSI being above or below 50 can be interesting Print triangles when: All Slope Match - all visible timeframe lines are pointing up or down at the same time All above/belove middle line - all visible lines are above or belove the middle line All above/belove middle line and slope match - like the previous one and the slope direction is the same All above/below oversold/overbougt - all lines are above or below os/ ob. this is the default. it can be a very important confluence Lower TF in order - 5, 15, 30, 60 minute timeframes are in order. Higher TF in order - 4H 1D 1W in order (like 4H above 1D abd 1D above 1W). can be interesting at RSI 4H-1D in order - 4H 1D in order . Print triangles Print all triangles - print all triangles when the condition is met Print only first triangles - only show when the condition starts to met Print only last triangles - small triangles when the condition met first, large when last. tis is the default. Timeframes to show: You can turn on/off different timeframs to show or not from the list below: 1m 5m 15m 30m 1H 4H D 5D W M This is for experimenting/ understanding the market direction on multiple timeframes at once. Don't take it's signals (and any other indicator's) as exact trade signals. use it as confirmation instead. Any comments, insights, ideas are welcome.
Indikator Pine Script®
oleh engemcsakugyhoztak
4
Combo Backtest 123 Reversal & SMI Ergodic Oscillator This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy The SMI Ergodic Indicator is the same as the True Strength Index (TSI) developed by William Blau, except the SMI includes a signal line. The SMI uses double moving averages of price minus previous price over 2 time frames. The signal line, which is an EMA of the SMI, is plotted to help trigger trading signals. Adjustable guides are also given to fine tune these signals. The user may change the input (close), method (EMA), period lengths and guide values. WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
1
Combo Backtest 123 Reversal & Smart Money Index (SMI) This is combo strategies for get a cumulative signal. First strategy This System was created from the Book "How I Tripled My Money In The Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies. The strategy buys at market, if close price is higher than the previous close during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50. The strategy sells at market, if close price is lower than the previous close price during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50. Second strategy Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment. The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns. The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening. Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance. Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated for many markets and market indices (S&P 500, DJIA, etc.) The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend soon. The SMI is, therefore, a trend-based indicator. Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future. WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
15
Risk Reduction Ultimate TemplateThis is a template not actually meant for trading. I picked two random oscillators. This is a template meant to turn into a live trading strategy, however. It's literally just a specialized take profit/stop loss system. It is to ensure your bot doesn't make any bad moves that you wouldn't have manually. The code should be pretty well annotated. Putting this into my scripts has made them much better. I will work on a Multiple Trigger template next.
Strategi Pine Script®
oleh burgercrisis
SMI Stochastic Momentum Index 2x set per Baiynd -Tom1traderStochastic Momemtum Index - a true strength indix tsi with a moving average signal. This uses the built in with modifications per Anne-Marie Baiynds recommendations - she uses a SIMPLE MOVING AVERAGE for the signal (signal length at 4x the short length seems to work best to reflect actual price action support or resistance) Note: Default settings in this code have been updated to her most recent recommendations that I have seen. video is entitled "The Most Reliable Technical Indicator I Have Ever Used" Note: I have not discussed this with Ms . Baiynd this is my interpretation of the vids I have seen. Anne-Marie Baiynd also in talks / videos refers to the use of short / long of 4/20 and 6/40 and have combined both of them here This overlays both of them with their respective SMAs- a 4/20 lengths and a 6/40 lengths in darker colors and smallest linewidth. this gives a perspective on slightly higher time frame action. USAGE: Generally above and below the black dashed zero line is long or short KEYS: -Plot position relative to zero black, red overbought, green oversold and the gray lines at .25 -.25 Indicator action often more significant out side of the more "neutral" +.25/-.25 area and near or above/below the red/green dashed lines. -Steepness of slopes Slopes of smi plots relate directly to price action where steeper is more momentum. - -SMI blue relation to its simple moving average orange and the SMI longer dark blue with moving average purple. MAJOR FEATURE - The average acts as support or resistance to the SMI and the price unless breaking out. Price is often pausing or reversing iin finding primary/secondary support or resistance as well at those times. You Can See and anticipate Where Support or Resistance may be Encountered. (much unlike most indicators) My standard caveat -use at your own risk. Like anyone else I do not know what the next bar/candle is going to do and I place all of my trades with a management plan in place for the worst case scenario. That said enjoy your charting and trading. This was coded starting with the built-in indicator "SMI Ergontic Oscilator / Indicator". You do this by within the Pine Editor select "New" tab and choose the indicator that you want the code for. This populates the editor with the code for the built in indicator and you can modify it to suit your purposes and save it / publish it and etc. Thanks for following this and Keep Smiling!
Indikator Pine Script®
oleh Tom1trader
12
Smart Money Index (SMI) Backtest Attention: If you would to use this indicator on the ES, you should have intraday data 60min in your account. Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment. The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns. The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening. Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance. Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated for many markets and market indices (S&P 500, DJIA, etc.) The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend soon. The SMI is, therefore, a trend-based indicator. Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
7
Smart Money Index (SMI) Strategy Attention: If you would to use this indicator on the ES, you should have intraday data 60min in your account. Smart money index (SMI) or smart money flow index is a technical analysis indicator demonstrating investors sentiment. The index was invented and popularized by money manager Don Hays. The indicator is based on intra-day price patterns. The main idea is that the majority of traders (emotional, news-driven) overreact at the beginning of the trading day because of the overnight news and economic data. There is also a lot of buying on market orders and short covering at the opening. Smart, experienced investors start trading closer to the end of the day having the opportunity to evaluate market performance. Therefore, the basic strategy is to bet against the morning price trend and bet with the evening price trend. The SMI may be calculated for many markets and market indices (S&P 500, DJIA, etc.) The SMI sends no clear signal whether the market is bullish or bearish. There are also no fixed absolute or relative readings signaling about the trend. Traders need to look at the SMI dynamics relative to that of the market. If, for example, SMI rises sharply when the market falls, this fact would mean that smart money is buying, and the market is to revert to an uptrend soon. The opposite situation is also true. A rapidly falling SMI during a bullish market means that smart money is selling and that market is to revert to a downtrend soon. The SMI is, therefore, a trend-based indicator. Some analysts use the smart money index to claim that precious metals such as gold will continually maintain value in the future. WARNING: - This script to change bars colors.
Indikator Pine Script®
oleh HPotter
4