インジケーターとストラテジー
Higher Timeframe MAsPlots moving averages from a higher timeframe onto the current chart. Each line can have its own MA type and length.
Pi Cycle Top IndicatorThis will help you identify when the top is in for BTC using 1D candles on bitcoin index chart. it has worked flawlessly for previous cycles, lets see if it works going forward.
Sesión New York 7:00 am - 10:00 am Costa RicaIndicador basado para la Sesion de New York entre las 7:00am a 10:00 am
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.
21 DMA & 200 DMA CrossoverGolden Cross over 20 and 200 DMA crossover rule which is important cross over for the index as well as stocks
RSI StatusSimple anchored text box (bottom-left) that indicates whether RSI in bullish or bearish indication (ie. RSI above or below its ema).
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.
GC-fin-dataIts financial data indicator, Helps to find changes in EPS, future EPS, PE, Revenue and net income along with price chart.
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")
Multi-EMA Indicator by Anand Padmanabhan @pBasic indicator which includes 21, 34, 50, 100 and 200 EMA
Jojito's Secret SauceAll you have to do is set the levels you want to trade. Pick your EMAs. Trade the trend. You don't need the EMAs if you don't want them. Use the 4H chart and up and trading is on EZ mode. Working on adding alerts and some other functions like trend color etc.
ES/NQ DD Range IndicatorDD Bands for RS Community
v1:
DD band values are fixed in code for now
ES - 40 points
NQ - 152.5 points
Added converted DD values for spy and qqq
CobynRushs PPO/ADX Pinch StrategyThis tool can help analyze the momentum and trend strength of an asset to identify:
Periods of Strong Trends: Indicated by a high ADX.
Potential Reversals or Breakouts: Highlighted during "pinch zones."
Momentum Shifts: Tracked using the PPO Line, Signal Line, and histogram.
The script uses the asset's closing price to calculate all indicators, providing actionable insights for both short-term and long-term trading strategies.\This Pine Script plots two technical indicators, the Percentage Price Oscillator (PPO) and the Average Directional Index (ADX), for the underlying asset (e.g., stock, forex pair, or cryptocurrency). It helps identify periods of trend strength and potential price "pinch" zones, which can signal consolidations or reversals.
Определение точек разворотаПоказывает в реальном времени точку разворота на покупку или продажу
Определение точки разворота основано на анализе функциональных, действенных паттернов и индикаторов.
Маркер зеленый треугольник указывает на восходящий тренд, красный на нисходящий.
В настройках возможно настроить уведомления.
Świece bez knota (Marubozu) z alertamiZapraszam do korzystania! Kiedy pojawia sie czerwień sell a kiedy zielony buy.
VWAP Strategy BY VGPATELThis strategy provides clear buy and sell signals based on the interaction of price and VWAP, helping traders to capitalize on intraday price movements while filtering out market noise.
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).
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.
