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Market Flow Volatility Oscillator (AiBitcoinTrend)The Market Flow Volatility Oscillator (AiBitcoinTrend) is a cutting-edge technical analysis tool designed to evaluate and classify market volatility regimes. By leveraging Gaussian filtering and clustering techniques, this indicator provides traders with clear insights into periods of high and low volatility, helping them adapt their strategies to evolving market conditions. Built for precision and clarity, it combines advanced mathematical models with intuitive visual feedback to identify trends and volatility shifts effectively. 👽 How the Indicator Works 👾 Volatility Classification with Gaussian Filtering The indicator detects volatility levels by applying Gaussian filters to the price series. Gaussian filters smooth out noise while preserving significant price movements. Traders can adjust the smoothing levels using sigma parameters, enabling greater flexibility: Low Sigma: Emphasizes short-term volatility. High Sigma: Captures broader trends with reduced sensitivity to small fluctuations. 👾 Clustering Algorithm for Regime Detection The core of this indicator is its clustering model, which classifies market conditions into two distinct regimes: Low Volatility Regime: Calm periods with reduced market activity. High Volatility Regime: Intense periods with heightened price movements. The clustering process works as follows: A rolling window of data is analyzed to calculate the standard deviation of price returns. Two cluster centers are initialized using the 25th and 75th percentiles of the data distribution. Each price volatility value is assigned to the nearest cluster based on its distance to the centers. The cluster centers are refined iteratively, providing an accurate and adaptive classification. 👾 Oscillator Generation with Slope R-Values The indicator computes Gaussian filter slopes to generate oscillators that visualize trends: Oscillator Low: Captures low-frequency market behavior. Oscillator High: Tracks high-frequency, faster-changing trends. The slope is measured using the R-value of the linear regression fit, scaled and adjusted for easier interpretation. 👽 Applications 👾 Trend Trading When the oscillator rises above 0.5, it signals potential bullish momentum, while dips below 0.5 suggest bearish sentiment. 👾 Pullback Detection When the oscillator peaks, especially in overbought or oversold zones, provide early warnings of potential reversals. 👽 Indicator Settings 👾 Oscillator Settings Sigma Low/High: Controls the smoothness of the oscillators. Smaller Values: React faster to price changes but introduce more noise. Larger Values: Provide smoother signals with longer-term insights. 👾 Window Size and Refit Interval Window Size: Defines the rolling period for cluster and volatility calculations. Shorter windows: adapt faster to market changes. Longer windows: produce stable, reliable classifications. Disclaimer: This information is for entertainment purposes only and does not constitute financial advice. Please consult with a qualified financial advisor before making any investment decisions.
Индикатор Pine Script™
от aibitcointrend
SL (Daily ATR/3 from Yesterday)n den 1950er und 1960er Jahren kam es zwischen den USA und der Sowjetunion zum sogenannten Wettlauf ins All. Der erste von Menschen konstruierte Raumflugkörper auf dem Mond war die sowjetische Sonde Lunik 2, die am 13. September 1959 gezielt auf dem Mond aufschlug. Der US-amerikanische Flugkörper Ranger 4 stürzte nach einem Kontaktabbruch am 26. April 1962 auf der Rückseite des Mondes ab. Die Raumsonden Ranger 7, 8 und 9 konnten 1964 und 1965 vor ihrem Aufschlag (planmäßig harte Landungen) jeweils Tausende von Bildern zur Erde übertragen. Am 3. Februar 1966 landete die sowjetische Luna 9 als erster Flugkörper weich auf dem Mond, und mit Surveyor 1 am 2. Juni 1966 auch erstmals eine US-amerikanische Sonde. Die erste bemannte Flugmission zum Mond (ohne Landung auf dem Trabanten) war Apollo 8 im Dezember 1968. Frank Borman, William Anders und James („Jim“) Lovell umkreisten den Mond 10 Mal und waren die ersten Menschen, die mit eigenen Augen die Rückseite des Mondes sahen. Am 21. Juli 1969 um 3:56 Uhr MEZ betraten im Zuge der Mission Apollo 11 die ersten Menschen den Mond, Neil Armstrong und Buzz Aldrin. In den folgenden drei Jahren fanden fünf weitere bemannte Mondlandungen des Apollo-Programms statt. Vermutlich versuchte die Sowjetunion, noch vor Apollo 11 Mondgestein zur Erde zu bringen. Dies gelang allerdings erst mit der am 20. September 1970 gelandeten Sonde Luna 16. Das geplante sowjetische bemannte Mondprogramm wurde nicht verwirklicht. Als dritter Nation gelang der Volksrepublik China eine weiche Mondlandung; die chinesische Sonde Chang’e-3 setzte am 14. Dezember 2013 auf dem Mond auf. Am 3. Januar 2019 landete mit Chang'e-4 erstmals eine Sonde weich auf der Mondrückseite. Mit Chang’e 5 brachte die Volksrepublik China im Dezember 2020 auch als drittes Land Bodenproben vom Mond auf die Erde. Der jeweils erste Landeversuch der indischen Raumfahrtbehörde ISRO und eines israelischen Privatprojekts schlug fehl, die beiden Sonden Chandrayaan-2 und Beresheet zerschellten im Jahr 2019 auf der Mondoberfläche. Im zweiten Versuch war Indien dann erfolgreich, Chandrayaan-3 landete am 23. August 2023 weich im südlichen Bereich der Mondvorderseite. Als fünftem Land gelang Japan am 19. Januar 2024 eine Mondlandung mit dem Smart Lander for Investigating Moon (SLIM).
Индикатор Pine Script™
от ruschaksimon22
1
Triple Relative Strength IndexMulti-timeframe RSI indicator. The RSI indicators provided by TradingView provide only one indicator, but they are completed as one indicator to enable simultaneous analysis of RSIs in different time zones. The RSI at the top is able to see larger movements than the current time zone, and the RSI at the bottom is able to see smaller time zone movements. Example of use) If the large time zone RSI sits at No. 50, it could enter a buy position if the current time zone or small time zone RSI supports at 30, or breaks above 30, with an uptrend movement. Future plan) 1. Improve indicators using RSI indicators based on volume 2. Improve to set automatically without manually specifying time zones We look forward to your comments and comments on this idea. ============================================================================== 멀티 타임프레임 RSI지표입니다. 트레이딩뷰에서 제공하는 RSI지표는 한개의 지표만 제공하지만, 다양한 시간대의 RSI를 동시에 분석할 수 있도록 하나의 지표로 완성하였습니다. 맨 위에 있는 RSI는 현재 시간대보다 큰 움직임을 확인할 수 있고, 맨 아래 RSI는 작은 시간대 움직임을 확인할 수 있습니다. 사용예시) 큰 시간대 RSI가 50위에 위치한 경우 상승추세 움직임으로 현재 시간대나 작은 시간대의 RSI가 30에서 지지하거나 30을 상향돌파할 경우 매수 포지션에 진입할 수 있습니다. 향후계획) 1. 거래량 기반 RSI지표를 활용한 지표 개선 2. 시간대를 수동으로 지정하지 않고 자동으로 설정되도록 개선 이 아이디어에 대한 여러분의 댓글과 의견을 기다리겠습니다.
Индикатор Pine Script™
от illbecmo
ASCII ARTASCII ART - Simple ASCII Art Display Indicator A minimalist indicator that displays ASCII art on your TradingView charts. This tool allows you to add creative visual elements to your charts through ASCII art text. Key Features Input ASCII art through a text area Choose from 9 display positions (top-left, top-center, top-right, middle-left, middle-center, middle-right, bottom-left, bottom-center, bottom-right) Customize font size Set font color How to Use Add the indicator to your chart Input your ASCII art in the text area Configure position, font size, and color View your art on the chart Settings Text Area: Input field for ASCII art Table position: Select display location Font size: Set text size (0 for auto-adjust) Font color: Choose text color This script is created for educational purposes and does not provide trading signals. It is purely designed for displaying ASCII art on your charts to enhance visual customization.
Индикатор Pine Script™
от aiczk
LSMA Swing PointsLSMA Swing Points Indicator The LSMA Swing Points Indicator is a technical analysis tool designed for identifying key swing points in price movements. It combines the Least Squares Moving Average (LSMA) with a swing point detection algorithm to highlight potential bullish and bearish turning points in the market. Key Features Dynamic LSMA Calculations: Uses LSMA applied to the high and low prices for precise trend tracking. Highlights areas where the price is overbought or oversold relative to the LSMA trend. Swing Point Detection: Bullish Swing Points: Occur when the current LSMA-high matches the highest LSMA value over a defined lookback period. Bearish Swing Points: Occur when the current LSMA-low matches the lowest LSMA value over the same lookback period. Trend Visualization: Green Lines: Indicate bullish swing points, signaling potential upward reversals or continuation. Red Lines: Indicate bearish swing points, signaling potential downward reversals or continuation. Trendline (based on a 21-period linear regression of the close) changes its color dynamically to reflect the prevailing market sentiment. Input Parameters Lookback: Defines the range for calculating the highest and lowest LSMA values. Default is 30. Length: Sets the length of the LSMA for smoothing. Default is 5. Trading Applications Reversal Trading: Identify areas where price action might reverse based on LSMA swing points. Trend Confirmation: Use the dynamic trendline to confirm the current market direction. Support and Resistance Levels: Swing points often align with significant support or resistance zones. How to Use Look for green lines to identify bullish setups and red lines for bearish setups. Use the dynamic trendline color as confirmation of the market sentiment. Combine with other indicators like RSI or volume to validate trade entries and exits. Customization The indicator's parameters can be adjusted to suit different market conditions or trading styles. Experiment with the lookback and length settings to optimize performance for your chosen asset and timeframe. This indicator is particularly useful for trending markets, where swing points and trendlines provide clear entry and exit signals. However, it should be complemented with additional analysis in sideways or highly volatile markets.
Индикатор Pine Script™
от Thanat_Pornsirianant
AdibXmos // © Adib2024 //@version=5 indicator('AdibXmos ', overlay=true, max_labels_count=500) show_tp_sl = input.bool(true, 'Display TP & SL', group='Techical', tooltip='Display the exact TP & SL price levels for BUY & SELL signals.') rrr = input.string('1:2', 'Risk to Reward Ratio', group='Techical', options= , tooltip='Set a risk to reward ratio (RRR).') tp_sl_multi = input.float(1, 'TP & SL Multiplier', 1, group='Techical', tooltip='Multiplies both TP and SL by a chosen index. Higher - higher risk.') tp_sl_prec = input.int(2, 'TP & SL Precision', 0, group='Techical') candle_stability_index_param = 0.5 rsi_index_param = 70 candle_delta_length_param = 4 disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Techical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity.') GREEN = color.rgb(29, 255, 40) RED = color.rgb(255, 0, 0) TRANSPARENT = color.rgb(0, 0, 0, 100) label_size = input.string('huge', 'Label Size', options= , group='Cosmetic') label_style = input.string('text bubble', 'Label Style', , group='Cosmetic') buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic') sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic') label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic') stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param rsi = ta.rsi(close, 14) atr = ta.atr(14) bullish_engulfing = close < open and close > open and close > open rsi_below = rsi < rsi_index_param decrease_over = close < close var last_signal = '' var tp = 0. var sl = 0. bull_state = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed bull = bull_state and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true) bearish_engulfing = close > open and close < open and close < open rsi_above = rsi > 100 - rsi_index_param increase_over = close > close bear_state = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed bear = bear_state and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true) round_up(number, decimals) => factor = math.pow(10, decimals) math.ceil(number * factor) / factor if bull last_signal := 'buy' dist = atr * tp_sl_multi tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist tp := round_up(close + tp_dist, tp_sl_prec) sl := round_up(close - dist, tp_sl_prec) if label_style == 'text bubble' label.new(bar_index, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size) else if label_style == 'triangle' label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size) else if label_style == 'arrow' label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size) label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_down, textcolor=label_text_color) if bear last_signal := 'sell' dist = atr * tp_sl_multi tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist tp := round_up(close - tp_dist, tp_sl_prec) sl := round_up(close + dist, tp_sl_prec) if label_style == 'text bubble' label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size) else if label_style == 'triangle' label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size) else if label_style == 'arrow' label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size) label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_up, textcolor=label_text_color) alertcondition(bull or bear, 'BUY & SELL Signals', 'New signal!') alertcondition(bull, 'BUY Signals (Only)', 'New signal: BUY') alertcondition(bear, 'SELL Signals (Only)', 'New signal: SELL')
Индикатор Pine Script™
от soodlayer2001
Custom Volume Indicator by Augster67//@version=5 indicator("Custom Volume Indicator by Augster67", overlay=false) // Input for moving average period vol_avg_period = input.int(20, title="Volume Moving Average Period") // Calculate volume components buying_pressure = volume * (close > open ? (close - low) / (high - low) : (close - low) / (high - low)) selling_pressure = volume * (close < open ? (high - close) / (high - low) : (high - close) / (high - low)) // Calculate moving average of volume vol_avg = ta.sma(volume, vol_avg_period) // Plot total volume in gray behind buying and selling pressures plot(volume, color=color.gray, title="Total Volume", style=plot.style_histogram, linewidth=2, transp=80) // Plot buying and selling pressure as columns plot(buying_pressure, color=color.green, title="Buying Pressure", style=plot.style_columns, linewidth=2) plot(selling_pressure, color=color.red, title="Selling Pressure", style=plot.style_columns, linewidth=2) // Plot volume moving average plot(vol_avg, color=color.yellow, title="Volume Moving Average")
Индикатор Pine Script™
от Augie1967