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Premier RSI Oscillator [LazyBear]This is a modified form of PSO (original idea by Lee Leibfarth), to use RSI as the input. This provides a quick response to changes in market direction. This highly sensitive indicator allows for early anticipation of price turns and can be used to establish definitive trading zones that identify potential trading opportunities. Entry/Exit rules are the same as PSO. Enabling bar colors makes it easy to identify the entry/exits too (Refer to my comment below for more points to keep in mind regarding colors) Here's a comparison against normal RSI. More info: PSO: List of my public indicators: bit.ly List of my app-store indicators: blog.tradingview.com
Wskaźnik Pine Script®
od LazyBear
24
Klinger Volume Oscillator (KVO) The Klinger Oscillator (KO) was developed by Stephen J. Klinger. Learning from prior research on volume by such well-known technicians as Joseph Granville, Larry Williams, and Marc Chaikin, Mr. Klinger set out to develop a volume-based indicator to help in both short- and long-term analysis. The KO was developed with two seemingly opposite goals in mind: to be sensitive enough to signal short-term tops and bottoms, yet accurate enough to reflect the long-term flow of money into and out of a security. The KO is based on the following tenets: Price range (i.e. High - Low) is a measure of movement and volume is the force behind the movement. The sum of High + Low + Close defines a trend. Accumulation occurs when today's sum is greater than the previous day's. Conversely, distribution occurs when today's sum is less than the previous day's. When the sums are equal, the existing trend is maintained. Volume produces continuous intra-day changes in price reflecting buying and selling pressure. The KO quantifies the difference between the number of shares being accumulated and distributed each day as "volume force". A strong, rising volume force should accompany an uptrend and then gradually contract over time during the latter stages of the uptrend and the early stages of the following downtrend. This should be followed by a rising volume force reflecting some accumulation before a bottom develops.
Wskaźnik Pine Script®
od HPotter
12
Money Flow Indicator (Chaikin Oscillator) Indicator plots Money Flow Indicator (Chaikin). This indicator looks to improve on Larry William's Accumulation Distribution formula that compared the closing price with the opening price. In the early 1970's, opening prices for stocks stopped being transmitted by the exchanges. This made it difficult to calculate Williams' formula. The Chaikin Oscillator uses the average price of the bar calculated as follows (High + Low) /2 instead of the Open. The indicator subtracts a 10 period exponential moving average of the AccumDist function from a 3 period exponential moving average of the AccumDist function.
Wskaźnik Pine Script®
od HPotter
1
CMO Oscillator with FilterHi Let me introduce my CMO Oscillator with Filter script. This indicator plots a CMO which ignores price changes which are less than a threshold value. CMO was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls "pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder`s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities.
Wskaźnik Pine Script®
od HPotter
8
CMO & WMA Oscillator This indicator plots Chandre Momentum Oscillator and its WMA on the same chart. This indicator plots the absolute value of CMO. CMO was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls ?pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder?s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities.
Wskaźnik Pine Script®
od HPotter
CMOabs OscillatorHi Let me introduce my CMOabs Oscillator script. This indicator plots the absolute value of CMO. CMO was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls "pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder`s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities.
Wskaźnik Pine Script®
od HPotter
TurboVWAPoscilOscillator based on VWAP and its standard deviations. It will display VWAP as a zero line and then an indicator line showing where price is in relation to VWAP expressed as Standard Deviation units. This indicator is based on my awesome indicator TurboVWAP, so it shares most of its features: - you can select whether you want a rolling or an anchored VWAP as basis. - the VWAP will auto-set itself depending on the chart timeframe, so that it will be calculated based on the period you really want, not number of bars or similar. - you can set the indicator to auto-set session start and end times for the session-anchored VWAP depending on the futures contract selected, so you don't need to mess with times.
Wskaźnik Pine Script®
od czoa
3
ST-Stochastic DashboardST-Stochastic Dashboard: User Manual & Functionality 1. Introduction The ST-Stochastic Dashboard is a comprehensive tool designed for traders who utilize the Stochastic Oscillator. It combines two key features into a single indicator: A standard, fully customizable Stochastic Oscillator plotted directly on your chart. A powerful Multi-Timeframe (MTF) Dashboard that shows the status of the Stochastic %K value across three different timeframes of your choice. This allows you to analyze momentum on your current timeframe while simultaneously monitoring for confluence or divergence on higher or lower timeframes, all without leaving your chart. Disclaimer: In accordance with TradingView's House Rules, this document describes the technical functionality of the indicator. It is not financial advice. The indicator provides data based on user-defined parameters; all trading decisions are the sole responsibility of the user. Past performance is not indicative of future results. 2. How It Works (Functionality) The indicator is divided into two main components: A. The Main Stochastic Indicator (Chart Pane) This is the visual representation of the Stochastic Oscillator for the chart's current timeframe. %K Line (Blue): This is the main line of the oscillator. It shows the current closing price in relation to the high-low range over a user-defined period. A high value means the price is closing near the top of its recent range; a low value means it's closing near the bottom. %D Line (Black): This is the signal line, which is a moving average of the %K line. It is used to smooth out the %K line and generate trading signals. Overbought Zone (Red Area): By default, this zone is above the 75 level. When the Stochastic lines are in this area, it indicates that the asset may be "overbought," meaning the price is trading near the peak of its recent price range. Oversold Zone (Blue Area): By default, this zone is below the 25 level. When the Stochastic lines are in this area, it indicates that the asset may be "oversold," meaning the price is trading near the bottom of its recent price range. Crossover Signals: Buy Signal (Blue Up Triangle): A blue triangle appears below the candles when the %K line crosses above the Oversold line (e.g., from 24 to 26). This suggests a potential shift from bearish to bullish momentum. Sell Signal (Red Down Triangle): A red triangle appears above the candles when the %K line crosses below the Overbought line (e.g., from 76 to 74). This suggests a potential shift from bullish to bearish momentum. B. The Multi-Timeframe Dashboard (Table on Chart) This is the informational table that appears on your chart. Its purpose is to give you a quick, at-a-glance summary of the Stochastic's condition on other timeframes. Function: The script uses TradingView's request.security() function to pull the %K value from three other timeframes that you specify in the settings. Efficiency: The table is designed to update only on the last (most recent) bar (barstate.islast) to ensure the script runs efficiently and does not slow down your chart. Columns: Timeframe: Displays the timeframe you have selected (e.g., '5', '15', '60'). Stoch %K: Shows the current numerical value of the %K line for that specific timeframe, rounded to two decimal places. Status: Interprets the %K value and displays a clear status: OVERBOUGHT (Red Background): The %K value is above the "Upper Line" setting. OVERSOLD (Blue Background): The %K value is below the "Lower Line" setting. NEUTRAL (Black/Dark Background): The %K value is between the Overbought and Oversold levels. 3. Settings / Parameters in Detail You can access these settings by clicking the "Settings" (cogwheel) icon on the indicator name. Stochastic Settings This group controls the behavior and appearance of the main Stochastic indicator plotted in the pane. Stochastic Period (length) Description: This is the lookback period used to calculate the Stochastic Oscillator. It defines the number of past bars to consider for the high-low range. Default: 9 %K Smoothing (smoothK) Description: This is the moving average period used to smooth the raw Stochastic value, creating the %K line. A higher value results in a smoother, less sensitive line. Default: 3 %D Smoothing (smoothD) Description: This is the moving average period applied to the %K line to create the %D (signal) line. A higher value creates a smoother signal line that lags further behind the %K line. Default: 6 Lower Line (Oversold) (ul) Description: This sets the threshold for the oversold condition. When the %K line is below this value, the dashboard will show "OVERSOLD". It is also the level the %K line must cross above to trigger a Buy Signal triangle. Default: 25 Upper Line (Overbought) (ll) Description: This sets the threshold for the overbought condition. When the %K line is above this value, the dashboard will show "OVERBOUGHT". It is also the level the %K line must cross below to trigger a Sell Signal triangle. Default: 75 Dashboard Settings This group controls the data and appearance of the multi-timeframe table. Timeframe 1 (tf1) Description: The first timeframe to be displayed in the dashboard. Default: 5 (5 minutes) Timeframe 2 (tf2) Description: The second timeframe to be displayed in the dashboard. Default: 15 (15 minutes) Timeframe 3 (tf3) Description: The third timeframe to be displayed in the dashboard. Default: 60 (1 hour) Dashboard Position (table_pos) Description: Allows you to select where the dashboard table will appear on your chart. Options: top_right, top_left, bottom_right, bottom_left Default: bottom_right 4. How to Use & Interpret Configuration: Adjust the Stochastic Settings to match your trading strategy. The default values (9, 3, 6) are common, but feel free to experiment. Set the Dashboard Settings to the timeframes that are most relevant to your analysis (e.g., your entry timeframe, a medium-term timeframe, and a long-term trend timeframe). Analysis with the Dashboard: The primary strength of this tool is confluence. Look for situations where multiple timeframes align. For example: If the dashboard shows OVERSOLD on the 15-minute, 60-minute, and your current 5-minute chart, a subsequent Buy Signal on your 5-minute chart may carry more weight. Conversely, if your 5-minute chart shows OVERSOLD but the 60-minute chart is strongly OVERBOUGHT, it could indicate that you are looking at a minor pullback in a larger downtrend. Interpreting States: Overbought is not an automatic "sell" signal. It simply means momentum has been strong to the upside, and the price is near its recent peak. It could signal a potential reversal, but the price can also remain overbought for extended periods in a strong uptrend. Oversold is not an automatic "buy" signal. It means momentum has been strong to the downside. While it can signal a potential bounce, prices can remain oversold for a long time in a strong downtrend. Use the signals and dashboard states as a source of information to complement your overall trading strategy, which should include other forms of analysis such as price action, support/resistance levels, or other indicators.
Wskaźnik Pine Script®
od SESE04
Trigonometric StochasticTrigonometric Stochastic - Mathematical Smoothing Oscillator Overview A revolutionary approach to stochastic oscillation using sine wave mathematical smoothing. This indicator transforms traditional stochastic calculations through trigonometric functions, creating an ultra-smooth oscillator that reduces noise while maintaining sensitivity to price changes. Mathematical Foundation Unlike standard stochastic oscillators, this version applies sine wave smoothing: • Raw Stochastic: (close - lowest_low) / (highest_high - lowest_low) × 100 • Trigonometric Smoothing: 50 + 50 × sin(2π × raw_stochastic / 100) • Result: Naturally smooth oscillator with mathematical precision Key Features Advanced Smoothing Technology • Sine Wave Filter: Eliminates choppy movements while preserving signal integrity • Natural Boundaries: Mathematically constrained between 0-100 • Reduced False Signals: Trigonometric smoothing filters market noise effectively Traditional Stochastic Levels • Overbought Zone: 80 level (dashed line) • Oversold Zone: 20 level (dashed line) • Midline: 50 level (dotted line) - equilibrium point • Visual Clarity: Clean oscillator panel with clear level markings Smart Signal Generation • Anti-Repaint Logic: Uses confirmed previous bar values • Buy Signals: Generated when crossing above 30 from oversold territory • Sell Signals: Generated when crossing below 70 from overbought territory • Crossover Detection: Precise entry/exit timing Professional Presentation • Separate Panel: Dedicated oscillator window (overlay=false) • Price Format: Formatted as price indicator with 2-decimal precision • Theme Adaptive: Automatically matches your chart color scheme Parameters • Cycle Length (5-200): Period for highest/lowest calculations - Shorter periods = more sensitive, more signals - Longer periods = smoother, fewer but stronger signals Trading Applications Momentum Analysis • Overbought/Oversold: Clear visual identification of extreme levels • Momentum Shifts: Early detection of momentum changes • Trend Strength: Monitor oscillator position relative to midline Signal Trading • Long Entries: Buy when crossing above 30 (oversold bounce) • Short Entries: Sell when crossing below 70 (overbought rejection) • Confirmation Tool: Use with trend indicators for higher probability trades Divergence Detection • Bullish Divergence: Price makes lower lows, oscillator makes higher lows • Bearish Divergence: Price makes higher highs, oscillator makes lower highs • Early Warning: Spot potential trend reversals before they occur Trading Strategies Scalping (5-15min timeframes) • Use cycle length 10-14 for quick signals • Focus on 20/80 level bounces • Combine with price action confirmation Swing Trading (1H-4H timeframes) • Use cycle length 20-30 for reliable signals • Wait for clear crossovers with momentum • Monitor divergences for reversal setups Position Trading (Daily+ timeframes) • Use cycle length 50+ for major signals • Focus on extreme readings (below 10, above 90) • Combine with fundamental analysis Advantages Over Standard Stochastic 1. Smoother Action: Sine wave smoothing reduces whipsaws 2. Mathematical Precision: Trigonometric functions provide consistent behavior 3. Maintained Sensitivity: Smoothing doesn't compromise signal quality 4. Reduced Noise: Cleaner signals in volatile markets 5. Visual Appeal: More aesthetically pleasing oscillator movement Best Practices • Market Context: Consider overall trend direction • Multiple Timeframe: Confirm signals on higher timeframes • Risk Management: Always use proper position sizing • Backtesting: Test parameters on your preferred instruments • Combination: Works excellently with trend-following indicators Built-in Alerts • Buy Alert: Trigonometric stochastic oversold crossover • Sell Alert: Trigonometric stochastic overbought crossunder Technical Specifications • Pine Script Version: v6 • Panel: Separate oscillator window • Format: Price indicator with 2-decimal precision • Performance: Optimized for all timeframes • Compatibility: Works with all instruments Free and open-source indicator. Modify, improve, and share with the community! Educational Value: Perfect for traders wanting to understand how mathematical smoothing improves oscillators and trigonometric applications in technical analysis.
Wskaźnik Pine Script®
od agatarigan
Average Absolute Error NormalizationNormalization often involve the ratio of a quantity over a variable in order to bring that quantity in a specific scale (fixed/non-fixed). Normalized oscillators are common types of oscillators used in technical analysis. The proposed indicator is a normalized oscillator in a scale (-1,1) and is based on the average error between the price and a specific moving average divided by the average absolute error. The indicator can be smoother by checking the "smoother" option. The interpretation is the same as any other type of oscillators, overbought/sold levels are also provided (-0.8,0.8) by default.
Wskaźnik Pine Script®
od alexgrover
10
PulseWave + DivergenceOverview PulseWave + Divergence is a momentum oscillator designed to optimize the classic RSI. Unlike traditional RSI, which can produce delayed or noisy signals, PulseWave offers a smoother and faster oscillator line that better responds to changes in market dynamics. By using a formula based on the difference between RSI and its moving average, the indicator generates fewer false signals, making it a suitable tool for day traders and swing traders in stock, forex, and cryptocurrency markets. How It Works Generating the Oscillator Line The PulseWave oscillator line is calculated as follows: RSI is calculated based on the selected data source (default: close price) and RSI length (default: 20 periods). RSI is smoothed using a simple moving average (MA) with a selected length (default: 20 periods). The oscillator value is the difference between the current RSI and its moving average: oscillator = RSI - MA(RSI). This approach ensures high responsiveness to short-term momentum changes while reducing market noise. Unlike other oscillators, such as standard RSI or MACD, which rely on direct price values or more complex formulas, PulseWave focuses on the dynamics of the difference between RSI and its moving average. This allows it to better capture short-term trend changes while minimizing the impact of random price fluctuations. The oscillator line fluctuates around zero, making it easy to identify bullish trends (positive values) and bearish trends (negative values). Divergences The indicator optionally detects bullish and bearish divergences by comparing price extremes (swing highs/lows) with oscillator extremes within a defined pivot window (default: 5 candles left and right). Divergences are marked with "Bull" (bullish) and "Bear" (bearish) labels on the oscillator chart. Signals Depending on the selected signal type, PulseWave generates buy and sell signals based on: Crosses of the overbought and oversold levels. Crosses of the oscillator’s zero line. A combination of both (option "Both"). Signals are displayed as triangles above or below the oscillator, making them easy to identify. Input Parameters RSI Length: Length of the RSI used in calculations (default: 20). RSI MA Length: Length of the RSI moving average (default: 20). Overbought/Oversold Level: Oscillator overbought and oversold levels (default: 12.0 and -12.0). Pivot Length: Number of candles used to detect extremes for divergences (default: 5). Signal Type: Type of signals to display ("Overbought/Oversold", "Zero Line", "Both", or "None"). Colors and Gradients: Full customization of line, gradient, and label colors. How to Use Adjust Parameters: Increase RSI Length (e.g., to 30) for high-volatility markets to reduce noise. Decrease Pivot Length (e.g., to 3) for faster divergence detection on short timeframes. Interpret Signals: Buy Signal: The oscillator crosses above the oversold level or zero line, especially with a bullish divergence. Sell Signal: The oscillator crosses below the overbought level or zero line, especially with a bearish divergence. Combine with Other Tools: Use PulseWave alongside moving averages or support/resistance levels to confirm signals. Monitor Divergences: "Bull" and "Bear" labels indicate potential trend reversals. Set up alerts to receive notifications for divergences.
Wskaźnik Pine Script®
od Uncle_the_shooter
4
Katz Calypso Indicator (Refactored)Overview The Katz Calypso Indicator is a comprehensive momentum oscillator designed to identify potential entry and exit points in the market. At its core, it uses the True Strength Index (TSI) to gauge the strength and direction of a trend. To enhance signal accuracy and reduce false positives, the indicator integrates several optional filters, including the Waddah Attar Explosion, an EMA filter, and an ATR filter. It also provides an optional RVGI-based exit signal system. This tool is designed to provide a clear, visual representation of market momentum, with customizable filters to adapt to various trading styles and market conditions. How to Use the Indicator The indicator is displayed in a separate pane below the main price chart. TSI Line (Blue): This is the main oscillator line. Its position relative to the zero line indicates the overall trend bias (above 0 is bullish, below is bearish). Signal Line (Red): A moving average of the TSI line. Crossovers between the TSI and Signal Line are the primary triggers for trade signals. Zero Line: The centerline of the oscillator. A cross of the Zero Line can indicate a significant shift in momentum. Overbought/Oversold Levels: These user-defined levels (defaulting to 65 and -65) help identify potential exhaustion points in a trend, which can be used for taking profits. On-Chart Signals: The indicator plots shapes directly on the chart to make signals easy to spot: Green Triangles (Up): Indicate long entry or continuation signals. Red Triangles (Down): Indicate short entry or continuation signals. Yellow Triangles: Suggest taking profits. Maroon/Lime Triangles: Indicate an exit based on a signal cross (like RVGI or the Zero Line). Trading Rules Long Trade Rules Entry: A long trade is signaled when ALL of the following conditions are met: The blue TSI Line crosses above the red Signal Line. The blue TSI Line is above the 0 Zero Line. All enabled filters (Waddah Attar, EMA, ATR) confirm bullish conditions. A green triangle labeled "Long" will appear below the price. Exit (Take Profit): A take-profit signal for a long trade is generated when either of these occurs: The TSI Line crosses below the Overbought level. The TSI Line crosses back below the Signal Line while still above zero. A yellow triangle labeled "TPL" (Take Profit Long) will appear above the price. Exit (Stop/Reverse): A signal to exit a long trade is generated when either of these occurs: The TSI Line crosses below the 0 Zero Line. The RVGI Exit filter is enabled and generates a bearish crossover signal. A maroon triangle labeled "Exit Long" will appear above the price. Short Trade Rules Entry: A short trade is signaled when ALL of the following conditions are met: The blue TSI Line crosses below the red Signal Line. The blue TSI Line is below the 0 Zero Line. All enabled filters (Waddah Attar, EMA, ATR) confirm bearish conditions. A red triangle labeled "Short" will appear above the price. Exit (Take Profit): A take-profit signal for a short trade is generated when either of these occurs: The TSI Line crosses above the Oversold level. The TSI Line crosses back above the Signal Line while still below zero. A yellow triangle labeled "TPS" (Take Profit Short) will appear below the price. Exit (Stop/Reverse): A signal to exit a short trade is generated when either of these occurs: The TSI Line crosses above the 0 Zero Line. The RVGI Exit filter is enabled and generates a bullish crossover signal. A lime green triangle labeled "Exit Short" will appear below the price. Optional Filters You can enable or disable these filters in the indicator's settings to fine-tune its sensitivity. Waddah Attar Explosion Filter: This filter measures trend strength and volatility. When enabled, it ensures that entries are only taken during periods of strong, confirmed momentum, helping to avoid sideways or choppy markets. EMA Price Filter: A classic trend filter. When enabled, it will only allow long entries if the price is above the specified Exponential Moving Average and short entries only if the price is below it. ATR Filter: This acts as a volatility-based filter to prevent chasing a move. It helps ensure that you are not entering a long trade when the price has already moved too far above its EMA, or vice-versa for a short trade. RVGI Exit Filter: The Relative Vigor Index (RVGI) is used here exclusively as an exit signal. When enabled, a crossover of the RVGI and its signal line can provide an earlier exit signal before the TSI crosses the zero line, potentially locking in profits sooner. Disclaimer: This indicator is provided for educational and informational purposes only. It is not financial advice. Trading carries a high level of risk, and you can lose more than your initial investment. You should use this indicator at your own risk and discretion. Always conduct your own research and consider your risk tolerance before making any trading decisions.
Wskaźnik Pine Script®
od KATZcrypto
Mawreez' Aggregated DivergencesAutomatically detect regular and hidden divergences in multiple oscillators and visualize them through creative use of the histogram plot. I've open-sourced the code behind the indicator so that any user or their tech-savvy friend may easily add more oscillators of their choice. Known bugs: When two divergences occur within the same lookback period, only the first one is found. There is some overhead when searching for tops and bottoms. The oscillator and price source are still allowed to cross the trendline connecting their respective tops and bottoms. Planned features: Some mechanism to warn for divergences which are still awaiting confirmation. More sophisticated method for finding tops and bottoms.
Wskaźnik Pine Script®
od Mawreez
2
Qualitative Smoothed Strength Index***RSI CHART BELOW IS FOR COMPARSION TO SHOW HOE THEY MAKE SIMILIAR PATTERNS*** IT IS NOT PART OF THE INDICATOR*** The Qualitative Smoothed Strength Index (QSSI) is a simplified momentum oscillator whose values will oscillate between 0 and 1 . By converting price differences into binary values and smoothing them with a moving average, it identifies qualitative strength of price movements. This simplification allows traders to easily interpret trends and reversals. The QSSI offers advantages such as noise reduction, clear trend identification, and early signal detection, resulting in less lag compared to traditional oscillators. Traders can customize the indicator based on their preferences and use it across various markets. QSSI Indicator uses the input function is used to define the input parameters of the indicator. In this case, there are two inputs: length: The number of periods used for calculating the differences (a, b, c) and their assigned values. Default value is 5. MAL: The length of the moving average used for smoothing the assigned values. Default value is 14. The next few lines calculate 'a', 'b', and 'c', which represent the differences between the high, low, and close prices, respectively, and their corresponding previous simple moving averages (SMAs) of specified length. These differences are used to identify price movements. The code assigns binary values (0 or 1) to a_assigned, b_assigned, and c_assigned, depending on whether the corresponding differences (a, b, c) are greater than 0. This step converts the differences into a binary representation, indicating upward or downward price movements. Average_assigned calculates the average of the assigned binary values of a, b, and c. This average value represents the overall strength of the price movement.ma_assigned calculates the 14-day moving average of average_assigned, which smoothens the indicator and helps traders identify trends more easily. The code plots the 14-day moving average (ma_assigned) on the chart as a blue line. It also plots the individual assigned values of a, b, and c as dots on the chart. a_assigned is shown in green, b_assigned in red, and c_assigned in black. These dots indicate the presence of upward or downward movements in the respective price components. By visualizing these dots on the chart, the trader can quickly identify the presence and direction of price movements for each of the price components. This information can be valuable for understanding how the different price elements (high, low, and close) are contributing to the overall trend and strength of the market. Traders can use this data to make more informed decisions, such as confirming the presence of trends, identifying potential reversals, or gauging the overall market sentiment based on the distribution of upward and downward movements across the price components. Finally, the code draws horizontal dotted lines at levels 0.70 (0.8)and 0.30 (0.2). These levels are typically used to identify overbought (above 0.70 or 0.8) and oversold (below 0.30 or 0.2) conditions in the market. The Qualitative Smoothed Strength Index (QSSI) provides traders with information about the strength and direction of price movements. By using assigned binary values, the indicator simplifies the interpretation of price data, making it easier to identify trends and potential reversals.
Wskaźnik Pine Script®
od federalTacos5392b
Signal #1This oscillator calculates the directional strength of the bars using a hydraulic balance mechanism based on a small amount of what I consider a fundamental property of a rod. It does not consider the amplitude of price movement, so can be used as a complement to volume-based oscillators. This indicator uses simple analysis of past trading volume to determine its support for recent market activity. What I call Volume Buoyancy measures that strength and direction of support. NOTE • The command can be used with any symbol timeframe, including seconds. • Historical values ​​will always produce the same results. During execution, the values ​​will change until the bar closes. Bộ dao động này tính toán cường độ định hướng của các thanh bằng cách sử dụng cơ chế cân nguyên thủy dựa trên một số lượng nhỏ những gì tôi cho là thuộc tính cơ bản của một thanh. Nó không xem xét biên độ của chuyển động giá, vì vậy có thể được sử dụng như một phần bổ sung cho các bộ dao động dựa trên động lượng. Chỉ báo này sử dụng phân tích đơn giản về khối lượng giao dịch trong quá khứ để xác định mức độ hỗ trợ của nó đối với hoạt động thị trường gần đây. Cái mà tôi gọi là Độ nổi khối lượng đo lường sức mạnh và hướng của hỗ trợ đó. LƯU Ý  • Tập lệnh có thể được sử dụng với bất kỳ khung thời gian biểu đồ nào, kể cả giây.  • Các giá trị lịch sử sẽ luôn tạo ra các kết quả giống nhau. Trong thời gian thực, các giá trị sẽ thay đổi cho đến khi thanh đóng lại.
Wskaźnik Pine Script®
od Namlee8
Krong Stochastic_PicteIn technical analysis of securities trading the "stochastic indicator" is a "momentum indicator" that uses support and resistance levels. Dr. George Lane developed this indicator in the late 1950s. The term stochastic refers to the point of a current price in relation to its price range over a period of time. This method attempts to predict price turning points by comparing the closing price of a security to its price range. The 5-period stochastic oscillator in a daily timeframe is defined as follows: where H5 and L5 are the highest and lowest prices in the last 5 days respectively, while %D is the 3-day moving average of %K (the last 3 values of %K). Usually this is a simple moving average , but can be an exponential moving average for a less standardized weighting for more recent values. There is only one valid signal in working with %D alone — a divergence between %D and the analyzed security." "in reality the "stochs" are just the rank of price plus a "sma" and have no predictive powers and are only a lagging description of price which helps with providing some context but treating it as anything more has led many to make wrong assumptions based on its direction or its value. " The term stochastic is from the "stochastic process" which is a random process that can be defined as a collection of random variables that is indexed by some mathematical set, meaning that each random variable of the stochastic process is uniquely associated with an element in the set. Which makes the use of the term by Dr . George Lane pretty ironic. "This indicator is an attempt to improve upon the concept by sampling more of the data and combining multiple ranks to have a more accurate picture of price movement. Also hopefully to educate people about its shortcomings as well. The concept was inspired by a crypto youtuber but we wanna make sure the community understands that this is not a "copy" its merely a "bioequivalent" made from diligent and methodical reverse engineering . so please if you use this and still wanted to purchase it please refer to the closed source equivalent. We hope the community gets a kick out of it but more importantly get a different perspective on the mechanics of the stochastic oscillator. We also encourage modification and reuse of the code since we passed on a few ideas for exact graphical duplication. " BUY EXAMPLES: SELL EXAMPLES:
Wskaźnik Pine Script®
od Mathsio
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