Trend Analysis
Bilateral Stochastic Oscillator XI took the Bilateral Stochastic Oscillator created by alexgrover and merely added more moving average filter options and reduced the standard inputs for shorter term trend analysis.
I also updated the script to version 5.
The filter options are now:
SMA
EMA
RMA
HMA
WMA
VWMA
TMA
LSMA
Cheers.
10 EMA Break with Volume ConfirmationTracks when price breaks above or below 10 EMA with above average volume useful for meaningful breaks above or below as well as false breaks with easy to read icons
enjoy :)
SLYY BTC Strategy – Dynamische Trend- und Volatilitätsbasierte Die SLYY BTC Strategy ist eine speziell entwickelte Strategie für den BTC-Handel, die durch eine Kombination von gleitenden Durchschnitten und einem ATR-basierten Filter besonders stabile Ein- und Ausstiege ermöglicht. Der Algorithmus nutzt den 111er und 350er gleitenden Durchschnitt, um grundlegende Marktrichtungen zu erkennen und Entry-Trigger zu setzen. Zusätzlich stellt der ATR-Indikator (Average True Range) sicher, dass Trades nur bei optimaler Marktvolatilität ausgeführt werden, wodurch unnötige Risiken minimiert werden.
Funktionen der Strategie:
• Dynamischer Stop-Loss: Der Stop-Loss passt sich automatisch an die aktuelle Volatilität an und wird auf Basis eines variablen ATR-Multiplikators gesetzt, sodass er in volatilen Phasen breiter und in stabilen Phasen enger ist.
• Flexibler Trade-Einstieg: Die Strategie erkennt Long- und Short-Signale basierend auf den gleitenden Durchschnitten und eröffnet Positionen nur, wenn der ATR unter einem definierten Schwellenwert liegt.
• Zuverlässiges Risikomanagement: Die Stop-Loss-Abstände basieren auf einem fixen prozentualen Offset, der in den Strategieeinstellungen angepasst werden kann, um den persönlichen Risikopräferenzen zu entsprechen.
Einsatzgebiet:
Diese Strategie ist für Trader geeignet, die BTC auf mittleren Zeitrahmen handeln und ein risikokontrolliertes System mit dynamischem Volatilitätsmanagement bevorzugen. Die Slice PTC Strategy bietet eine klare, algorithmische Lösung für den Handel in Trendphasen und stabilisiert die Performance durch eine intelligente Volatilitätssteuerung.
Smoothed Moving Average ModifiedStandard SMMA. An input called offset is only added which allows the user to specify an integer value to move the SMMA. A positive value will move the average forward (to the right), while a negative value will move it backward (to the left) relative to current prices.
Cuanterousss Trend//@version=5
indicator("Follow Trend EMA Volume", overlay=true)
/// Mengatur panjang EMA yang dibutuhkan
ema5 = ta.ema(close, 5)
ema7 = ta.ema(close, 7)
ema21 = ta.ema(close, 21)
ema34 = ta.ema(close, 34)
ema55 = ta.ema(close, 55)
ema90 = ta.ema(close, 90)
ema100 = ta.ema(close, 100)
ema161 = ta.ema(close, 161)
ema200 = ta.ema(close, 200)
/// Menghitung rata-rata EMA untuk menentukan tren dominan
ema_avg = (ema5 + ema7 + ema21 + ema34 + ema55 + ema90 + ema100 + ema161 + ema200) / 9
/// Menghitung volume rata-rata untuk menyaring sinyal
vol_avg = ta.sma(volume, 20) // Volume rata-rata 20 periode
/// Aturan untuk trend dominan berdasarkan posisi harga terhadap EMA rata-rata
bullish_trend = close > ema_avg and volume > vol_avg
bearish_trend = close < ema_avg and volume > vol_avg
Probabilistic Trend Oscillator** MACD PLOTS ARE NOT PART OF THE INDICATOR IT IS FOR COMPARSION**
The "Probabilistic Trend Oscillator" is a technical indicator designed to measure trend strength and direction by analyzing price behavior relative to a moving average over both long-term and short-term periods. This indicator incorporates several innovative features, including probabilistic trend detection, enhanced strength scaling, and percentile-based thresholds for identifying potential trend reversals.
Key Components
Inputs:
The indicator allows users to customize several key parameters:
EMA Length defines the period for the Exponential Moving Average (EMA), which serves as a baseline to classify trend direction.
Long and Short Term Lengths provide customizable periods for analyzing trend strength over different timeframes.
Signal Line Length is used to smooth the trend strength data, helping users spot more reliable trend signals.
Extreme Value Lookback Length controls how far back to look when calculating percentile thresholds, which are used to identify overbought and oversold zones.
Trend Classification:
The indicator categorizes price behavior into four conditions:
Green: Price closes above the open and is also above the EMA, suggesting a strong upward trend.
Red: Price closes below the open but is above the EMA, indicating weaker upward pressure.
Green1: Price closes above the open but remains below the EMA, representing weak upward movement.
Red1: Price closes below the open and the EMA, signaling a strong downward trend.
Trend Strength Calculation:
The script calculates long-term and short-term trend values based on the frequency of these trend conditions, normalizing them to create probabilistic scores.
It then measures the difference between the short-term and long-term trend values, creating a metric that reflects the intensity of the current trend. This comparison provides insight into whether the trend is strengthening or weakening.
Enhanced Trend Strength:
To emphasize significant movements, the trend strength metric is scaled by the average absolute price change (distance between close and open prices). This creates an "enhanced trend strength" value that highlights periods with high momentum.
Users can toggle between two variations of trend strength:
Absolute Trend Strength is a straightforward measure of the trend's force.
Relative Trend Strength accounts for deviations between short term and long term values, focusing on how current price action differs from a long term behavior.
Percentile-Based Thresholds:
The indicator calculates percentile thresholds over the specified lookback period to mark extreme values:
The 97th and 3rd percentiles act as overbought and oversold zones, respectively, indicating potential reversal points.
Intermediate levels (75th and 25th percentiles) are added to give additional context for overbought or oversold conditions, creating a probabilistic range.
Visualization:
The selected trend strength value (either absolute or relative) is plotted in orange.
Overbought (green) and oversold (red) percentiles are marked with dashed lines and filled in blue, highlighting potential reversal zones.
The signal line—a smoothed EMA of the trend strength—is plotted in white, helping users to confirm trend changes.
A gray horizontal line at zero acts as a baseline, further clarifying the strength of upward vs. downward trends.
Summary
This indicator provides a flexible, probabilistic approach to trend detection, allowing users to monitor trend strength with customizable thresholds and lookback periods. By combining percentile-based thresholds with enhanced trend strength scaling, it offers insights into market reversals and momentum shifts, making it a valuable tool for both trend-following and counter-trend trading strategies.
TEMA Cross & Bollinger Middle AlertThe "TEMA Cross & Bollinger Middle Alert" script for TradingView is designed to track and provide alerts based on the crossover events of two Triple Exponential Moving Averages (TEMA) and the middle band of Bollinger Bands. This script is created using TradingView’s Pine Script (version 5) and includes adjustable parameters for flexibility.
Stormico Screener 40, EMA 80 (Slow Stochastic 8)This screener is a tribute to Alexandre Wolwacz, known as "Stormer," one of the most influential traders in the Brazilian financial market.
Stormer is renowned for his experience and skill in technical analysis, as well as his dedication to teaching trading strategies to traders at all levels. He is particularly known for his focus on strategies with a positive risk-reward ratio and low drawdown, something he conveys to his followers with clarity and practicality.
The screener presented here uses a setup frequently employed by Stormer to capture pullbacks in uptrends, focusing on strategic entries, short stops, and long targets. It utilizes an 8-period Slow Stochastic and an 80-period Exponential Moving Average (EMA) and is suitable for Day Trading, Swing Trading, and Position Trading on weekly charts.
Main Elements of the Setup:
80-Period Exponential Moving Average (EMA): The 80 EMA is used as a trend filter. When the price is above it, we consider an uptrend and look for buying opportunities. When the price is below it, buy trades are avoided, prioritizing trades that follow the upward trend.
Slow Stochastic Oscillator: The 8-period Slow Stochastic is used to capture entry points during pullbacks. In an uptrend, we look for moments when the oscillator reaches oversold levels (below 20), indicating a possible entry at an attractive price while remaining aligned with the main market direction.
Entry and Exit Criteria:
Buy: The entry occurs when the stochastic oscillator is in oversold levels and the price stays above an ascending 80 EMA with a bullish candle or inside bar, or when the stochastic turns upward.
Short Stop: The stop-loss is positioned below a recent support level, limiting risk and minimizing drawdown.
Long Target: Once in operation, the goal is to ride the trend with wider targets to maximize gains. The target suggested by Stormer can be set at twice the risk (2x Risk) or the previous high on the chart.
Positive Risk-Reward Ratio and Low Drawdown
With a short stop and a larger profit target, this setup is ideal for capturing entries with a favorable risk-reward ratio, minimizing drawdown and maximizing profit potential in trades that follow the trend.
This screener applies this setup across 40 assets, identifying the best opportunities according to the "Stormer" method. It displays the 8 and 80 EMAs and can be complemented by the Stormico Screener 40, Slow Stochastic (EMA 80).
The setup was also a favorite of his daughter Carol, who contributed greatly to live sessions and classes with Stormer. This screener honors both of them and Alexandre Wolwacz’s methodology, with deep respect for all he has contributed to the market and his students.
Minkiu Bollinger Band Strategy Convert all Indicator specific code to Strategy specific code. Don't use any code that a TradingView Strategy won't support. Especially timeframes and gaps. Define those in code so they are semantically the same as before.
Three SMAs with AlertsThis Pine Script version 5 script creates three Simple Moving Averages (SMA) with values of 20, 50, and 200 periods, and plots them on the chart.
The SMAs are color-coded to make them easily distinguishable.
Additionally, the script generates alerts when the price crosses above or below the 20-period SMA.
Auto alerts are triggered to notify the user of these crossover events, and visual markers (plotshape) are added to the chart to indicate where the crossovers occur.
Smoothed Moving Average ModifiedA feature has been added to the standard version of the SMMA: the user can specify an integer value to move the SMMA. A positive value will move the average forward (to the right), while a negative value will move it backward (to the left) relative to current prices.
Smoothed Moving Average ModifiedA feature has been added to the standard version of the SMMA: the user can specify an integer value to move the SMMA. A positive value will move the average forward (to the right), while a negative value will move it backward (to the left) relative to current price.
Stormico Screener 40, Slow Stochastic (EMA 80)This screener is a tribute to Alexandre Wolwacz, known as "Stormer," one of the most influential traders in the Brazilian financial market.
Stormer is renowned for his experience and skill in technical analysis, as well as his dedication to teaching trading strategies to traders at all levels. He is particularly known for his focus on strategies with a positive risk-reward ratio and low drawdown, something he conveys to his followers with clarity and practicality.
The screener presented here uses a setup frequently employed by Stormer to capture pullbacks in uptrends, focusing on strategic entries, short stops, and long targets. It utilizes an 8-period Slow Stochastic and an 80-period Exponential Moving Average (EMA) and is suitable for Day Trading, Swing Trading, and Position Trading on weekly charts.
Main Elements of the Setup:
80-Period Exponential Moving Average (EMA): The 80 EMA is used as a trend filter. When the price is above it, we consider an uptrend and look for buying opportunities. When the price is below it, buy trades are avoided, prioritizing trades that follow the upward trend.
Slow Stochastic Oscillator: The 8-period Slow Stochastic is used to capture entry points during pullbacks. In an uptrend, we look for moments when the oscillator reaches oversold levels (below 20), indicating a possible entry at an attractive price while remaining aligned with the main market direction.
Entry and Exit Criteria:
Buy: The entry occurs when the stochastic oscillator is in oversold levels and the price stays above an ascending 80 EMA with a bullish candle or inside bar, or when the stochastic turns upward.
Short Stop: The stop-loss is positioned below a recent support level, limiting risk and minimizing drawdown.
Long Target: Once in operation, the goal is to ride the trend with wider targets to maximize gains. The target suggested by Stormer can be set at twice the risk (2x Risk) or the previous high on the chart.
Positive Risk-Reward Ratio and Low Drawdown
With a short stop and a larger profit target, this setup is ideal for capturing entries with a favorable risk-reward ratio, minimizing drawdown and maximizing profit potential in trades that follow the trend.
This screener applies this setup across 40 assets, identifying the best opportunities according to the "Stormer" method. It displays the 8 and 80 EMAs and can be complemented by the Stormico Screener 40, EMA 80 (Slow Stochastic 8).
The setup was also a favorite of his daughter Carol, who contributed greatly to live sessions and classes with Stormer.
This screener honors both of them and Alexandre Wolwacz’s methodology, with deep respect for all he has contributed to the market and his students.
52Week Tracking TableThis indicator is nothing but a table where you can easily see how much the current price is away from the High/Close of 52 bars. Also have feature to view the data for more bars back.
Alex JMA RSX Clone with Price & Divergence [LazyBear]Indicator Description:
RSX Indicator (RSXC_LB): This script is based on a clone of the JMA RSX (Relative Strength Index clone by LazyBear). It is a momentum-based indicator that helps identify overbought and oversold levels, as well as potential trend reversals.
Functional Changes:
Convergence is now marked with a white line on the RSX plot.
Bullish Divergence is marked with a green line, indicating potential upward movement.
Bearish Divergence is marked with a red line, indicating potential downward movement.
The default state is marked with a blue line.
Strong Divergences (both bullish and bearish) are highlighted with triangle markers on the chart.
Updated Features:
The script now visualizes convergence and divergence more clearly using distinct colors:
White: Convergence (indicates potential trend strength).
Green: Bullish divergence (possible price increase).
Red: Bearish divergence (possible price decrease).
Blue: Neutral/default state.
Triangle markers indicate strong divergences, making it easier for the user to spot critical moments.
This visual enhancement aims to provide clearer and more intuitive signals for traders using the RSX indicator, helping them identify trend changes and reversals more effectively.
Stochastic RSI V1Stokastik RSI V1 - Kesişim noktaları işaretlendi, aşırı alım ve satım bölgeleri oluşturuldu. Çok ta önemli olmayabilecek değişiklikler işte...
Market Structure Algo V2 [OmegaTools]The Market Structure Algo V2 (MS Algo V2) is an advanced TradingView indicator developed by OmegaTools to provide traders with a comprehensive analysis of market structure. This tool refines the insights provided by its predecessor, combining enhanced pivot point analysis, dynamic market structure scoring, and zone visualization to deliver an intuitive view of potential market movements. Through custom settings, the MS Algo V2 allows users to tailor the indicator to fit their trading strategies more closely, offering enhanced adaptability to both short-term and long-term trends.
Core Functionality
The MS Algo V2 differentiates between internal and external market structures by analyzing pivot highs and lows over user-defined periods. The internal market structure focuses on shorter timeframes, providing insights into recent price action, while the external structure considers broader trends. This dual-layered approach helps traders distinguish between immediate and overarching market trends.
The indicator introduces improved visualization for areas of interest or zones around pivot points, adjustable through zone distance settings. These zones serve as potential support and resistance areas, helping traders anticipate price reactions at key levels. In addition to the zones, the indicator now provides gradient-based color coding on bars, reflecting the market structure’s bullish or bearish intensity. This visual enhancement aids in quickly interpreting the current trend's strength.
Dynamic signal generation has been refined in MS Algo V2. The indicator now offers both classic signals and breakout signals based on the market structure, including entries, exits, and change-of-character (CHoCH) alerts. Signals are generated based on price interactions with pivot levels, indicating potential long and short opportunities.
Operational Mechanism
The MS Algo V2 calculates pivot highs and lows over specified periods to define internal and external market structures. A market structure score is derived from these pivot points, classifying the market into bullish or bearish extremes. Signals are generated as the closing price interacts with these levels, marking entry and exit points based on the calculated structure.
A new feature in this version is zone visualization, where zones are plotted around a dynamic moving average derived from the exponential and simple moving averages (EMA and SMA). The zones are adjusted based on ATR (Average True Range) and the specified zone distance percentile, providing a clear visual representation of potential support and resistance regions. The external and internal zones are represented with different levels of transparency for quick reference.
Usage Guidelines
To apply the MS Algo V2 to your TradingView charts, adjust the internal and external market structure settings to match your preferred analysis timeframes. The line style and width of each structure can also be customized for a tailored view. The Zone Distance setting allows users to define the percentile range of the zones around the moving average, providing further flexibility in identifying potential areas of support and resistance.
For a color-coded overview of market sentiment, the bar gradient feature can be enabled. This option uses a gradient that reflects the bullish or bearish intensity of the market structure, giving traders a visual cue on the market’s overall trend. Color-coded signals and zone fill areas further assist in interpreting the current market structure and identifying potential trade areas.
The indicator includes customizable alerts for long and short signals, as well as specific breakout alerts (BOS) and change-of-character (CHoCH) signals. These alerts can help traders stay informed about significant market structure changes, supporting timely trading decisions.
Understanding the Indicator’s Originality
The MS Algo V2 stands out due to its robust integration of pivot analysis, zone visualization, and market structure scoring, offering a unique perspective on market dynamics. With features like color-coded signals, bar gradients, and configurable alerts, MS Algo V2 provides an edge in understanding both the current market environment and potential turning points. This indicator’s ability to represent the market’s structure visually makes it a powerful addition to any trader’s toolkit, especially for those seeking a deeper, multi-layered approach to market analysis.
Depth Trend Indicator - RSIDepth Trend Indicator - RSI
This indicator is designed to identify trends and gauge pullback strength by combining the power of RSI and moving averages with a depth-weighted calculation. The script was created by me, Nathan Farmer and is based on a multi-step process to determine trend strength and direction, adjusted by a "depth" factor for more accurate signal analysis.
How It Works
Trend Definition Using RSI: The RSI Moving Average ( rsiMa ) is calculated to assess the current trend, using customizable parameters for the RSI Period and MA Period .
Trends are defined as follows:
Uptrend : RSI MA > Critical RSI Value
Downtrend : RSI MA < Critical RSI Value
Pullback Depth Calculation: To measure pullback strength relative to the current trend, the indicator calculates a Depth Percentage . This is defined as the portion of the gap between the moving average and the price covered by a pullback.
Depth-Weighted RSI Calculation: The Depth Percentage is then applied as a weighting factor on the RSI Moving Average , giving us a Weighted RSI line that adjusts to the depth of pullbacks. This line is rather noisy, and as such we take a moving average to smooth out some of the noise.
Key Parameters
RSI Period : The period for RSI calculation.
MA Period : The moving average period applied to RSI.
Price MA Period : Determines the SMA period for price, used to calculate pullback depth.
Smoothing Length : Length of smoothing applied to the weighted RSI, creating a more stable signal.
RSI Critical Value : The critical value (level) used in determining whether we're in an uptrend or a downtrend.
Depth Critical Value : The critical value (level) used in determining whether or not the depth weighted value confirms the state of a trend.
Notes:
As always, backtest this indicator and modify the parameters as needed for your specific asset, over your specific timeframe. I chose these defaults as they worked well on the assets I look at, but it is likely you tend to look at a different group of assets over a different timeframe than what I do.
Large pullbacks can create large downward spikes in the weighted line. This isn't graphically pleasing, but I have tested it with various methods of normalization and smoothing and found the simple smoothing used in the indicator to be best despite this.
Chad the DadThis code provides a comprehensive visual tool for analyzing price, volume, and key technical levels on the TradingView platform. By using EMAs, volume-based colored candles, and market session highlights, it aims to help traders align with institutional trading flows and identify potential reversal or continuation points based on high-traffic levels.