Valuation Tool V2Explanation:
Inputs:
equitySymbol: The symbol for the equity index (default is "SPY" for the S&P 500 ETF).
bondSymbol: The symbol for the bond market (default is "TLT" for the 20+ Year Treasury Bond ETF).
Fetch Data:
equityClose and bondClose retrieve the daily closing prices for the specified equity and bond symbols.
Relative Spread Calculation:
The relative spread is calculated by dividing the equity index's closing price by the bond market's closing price.
Thresholds:
The 50-period Simple Moving Average (SMA) of the relative spread is calculated.
Overvalued and undervalued thresholds are set at 10% above and below the SMA, respectively.
Normalized Spread:
The normalized spread is calculated to normalize the relative spread around its SMA, which helps in visualizing it as an oscillator.
Plotting:
The normalized spread is plotted as a blue line in the oscillator panel.
Overvalued and undervalued thresholds are plotted as dotted lines at 0.1 and -0.1, respectively.
The zero line is plotted as a solid orange line.
Background colors indicate overvalued (red) and undervalued (green) regions.
Signals:
Buy signals are plotted when the normalized spread crosses above the undervalued threshold (-0.1).
Sell signals are plotted when the normalized spread crosses below the overvalued threshold (0.1).
This script plots the relative spread as an oscillator, allowing you to see overvalued and undervalued conditions in a separate panel. You can further customize the look and feel based on your preferences and trading strategy.
Forecasting
Moving Average Confluence [ST]Moving Average Confluence
Description in English:
This indicator uses multiple moving averages (SMA, EMA, WMA) with different periods to identify confluence points that can indicate support or resistance zones.
Detailed Explanation:
Configuration:
SMA Length: This input defines the period for the Simple Moving Average (SMA). The default value is 50.
EMA Length: This input defines the period for the Exponential Moving Average (EMA). The default value is 50.
WMA Length: This input defines the period for the Weighted Moving Average (WMA). The default value is 50.
Confluence Threshold: This input defines the maximum allowable difference between the moving averages to consider them in confluence. The default value is 0.01.
Calculation of Moving Averages:
SMA: Calculated as the simple arithmetic mean of the closing prices over the specified period.
EMA: Calculated by giving more weight to recent prices.
WMA: Calculated by weighting the closing prices based on their age.
Identification of Confluence:
Confluence is identified when the differences between SMA, EMA, and WMA are all within the specified threshold. This can indicate potential support or resistance zones.
Plotting:
The SMA, EMA, and WMA are plotted with different colors for easy identification.
Confluence points are marked with yellow labels on the chart.
Indicator Benefits:
Support and Resistance Identification: Helps traders identify potential support and resistance zones through the confluence of different moving averages.
Visual Cues: Provides clear visual signals for confluence points, aiding in making informed trading decisions.
Customizable Parameters: Allows traders to adjust the periods of the moving averages and the confluence threshold to suit different trading strategies and market conditions.
Justification of Component Combination:
Combining multiple types of moving averages (SMA, EMA, WMA) provides a comprehensive view of market trends. Identifying confluence points where these averages are close together can indicate strong support or resistance levels.
How Components Work Together:
The script calculates the SMA, EMA, and WMA for the specified periods.
It then checks if the differences between these moving averages are within the specified threshold.
When a confluence is detected, it is marked on the chart with a yellow label, providing a clear visual signal to the trader.
Título: Confluência de Médias Móveis
Descrição em Português:
Este indicador utiliza várias médias móveis (SMA, EMA, WMA) com diferentes períodos para identificar pontos de confluência que podem indicar zonas de suporte ou resistência.
Explicação Detalhada:
Configuração:
Comprimento da SMA: Este parâmetro define o período para a Média Móvel Simples (SMA). O valor padrão é 50.
Comprimento da EMA: Este parâmetro define o período para a Média Móvel Exponencial (EMA). O valor padrão é 50.
Comprimento da WMA: Este parâmetro define o período para a Média Móvel Ponderada (WMA). O valor padrão é 50.
Limite de Confluência: Este parâmetro define a diferença máxima permitida entre as médias móveis para considerá-las em confluência. O valor padrão é 0.01.
Cálculo das Médias Móveis:
SMA: Calculada como a média aritmética simples dos preços de fechamento ao longo do período especificado.
EMA: Calculada atribuindo mais peso aos preços mais recentes.
WMA: Calculada ponderando os preços de fechamento com base em sua idade.
Identificação de Confluência:
A confluência é identificada quando as diferenças entre SMA, EMA e WMA estão todas dentro do limite especificado. Isso pode indicar potenciais zonas de suporte ou resistência.
Plotagem:
A SMA, EMA e WMA são plotadas com cores diferentes para fácil identificação.
Pontos de confluência são marcados com etiquetas amarelas no gráfico.
Benefícios do Indicador:
Identificação de Suporte e Resistência: Ajuda os traders a identificar potenciais zonas de suporte e resistência através da confluência de diferentes médias móveis.
Sinais Visuais Claros: Fornece sinais visuais claros para pontos de confluência, auxiliando na tomada de decisões informadas.
Parâmetros Personalizáveis: Permite que os traders ajustem os períodos das médias móveis e o limite de confluência para se adequar a diferentes estratégias de negociação e condições de mercado.
Justificação da Combinação de Componentes:
Combinar vários tipos de médias móveis (SMA, EMA, WMA) fornece uma visão abrangente das tendências do mercado. Identificar pontos de confluência onde essas médias estão próximas pode indicar níveis fortes de suporte ou resistência.
Como os Componentes Funcionam Juntos:
O script calcula a SMA, EMA e WMA para os períodos especificados.
Em seguida, verifica se as diferenças entre essas médias móveis estão dentro do limite especificado.
Quando uma confluência é detectada, ela é marcada no gráfico com uma etiqueta amarela, fornecendo um sinal visual claro para o trader.
BB Position CalculatorPosition Size Calculator Instructions
Overview
The Position Size Calculator is designed to help traders automatically determine the appropriate lot size based on the dollar amount they are willing to risk. It includes features for automatic lot sizing, fixed lot risk calculations, take profit calculations (both automatic and fixed), max run-up, and max drawdown. Calculated values are displayed in ticks, points, and USD.
Key Features
• Automatic Lot Sizing: Automatically calculates lot size based on the amount of money you are willing to risk.
• Fixed Lot Risk Calculations: Provides risk calculations for fixed lot sizes.
• Take Profit Calculations: Offers both automatic and fixed take profit calculations.
• Max Run-Up and Max Drawdown: Monitors and displays the maximum run-up and drawdown of your trade.
• Detailed Metrics: Displays all calculated values in ticks, points, and USD.
Setup Instructions
1. Add and Remove for Each Position: The calculator is designed to be added to your chart for each new position. Once your preferences are set the first time, save them as your default to retain your settings for future use.
2. Adding the Indicator to Favorites:
• Use the TradingView keyboard shortcut “/” then type “pos.”
• Use the arrow key to select the Position Size Calculator and press enter.
• Close the indicator selection pop-up.
3. Setting the Trigger Price:
• A blue pop-up labeled “SET TRIGGER PRICE” will appear at the bottom of the chart.
• Click on the chart at the price level where you want to enter the trade.
4. Setting the Stop Loss:
• The pop-up will change to “SET STOP LOSS.”
• Click on the chart at the price level where your stop loss will be set.
5. Setting the Take Profit:
• The pop-up will change to “SET TAKE PROFIT.”
• Click on the chart at the price level where you want to take profit. If you have selected the option to overwrite with a set risk/reward ratio (R:R), the calculation will use this price level.
6. Setting the Trade Window Start:
• The pop-up will change to “SET TRADE WINDOW START.”
• Click on the bar in time where you want the indicator to start monitoring for price to trigger the position.
7. Adjusting the Position:
• Clicking on any part of the indicator will display draggable lines, allowing you to fine-tune the position that was previously plotted by the first four chart clicks.
Additional Notes
• Compatibility: This calculator has only been tested with futures trading.
• Customization: Once your preferences are set, save them as your default to make setup quicker for future trades.
• Support: If you have any questions or feature requests, please feel free to reach out.
[SGM Geometric Brownian Motion]Description:
This indicator uses Geometric Brownian Motion (GBM) simulations to predict possible price trajectories of a financial asset. It helps traders visualize potential price movements, assess risks, and make informed decisions.
Geometric Brownian Motion:
Geometric Brownian Motion is an extension of standard Brownian motion (or Wiener process) used to model the random behavior of particles in physics. In finance, this concept is used to model the evolution of asset prices over time in a continuous manner. The basic idea is that the price of an asset does not only change randomly but also exponentially depending on certain parameters.
Basic formula
The formula for the evolution of the price of an asset S(t) under MBG is given by the following stochastic differential equation:
𝑑𝑆(𝑡) = 𝜇𝑆(𝑡)𝑑𝑡 + 𝜎𝑆(𝑡)𝑑𝑊(𝑡)
where:
S(t) is the price of the asset at time
μ is the expected growth rate (or drift).
σ is the volatility of the price of the asset.
dW(t) represents the noise term, i.e. the standard Brownian motion.
Explanations of the terms
Expected growth rate (μ):
This is the expected average return on the asset. If you think your asset will grow by 5% per year,
μ will be 0.05.
Volatility (σ):
It is a measure of the uncertainty or risk associated with the asset. If the asset price varies a lot, σ will be high.
Noise term (dW(t)):
It represents the randomness of the price change, modeled by a Wiener process.
Features:
Customizable number of simulations: Choose the number of price trajectories to simulate to get a better estimate of future movements.
Adjustable simulation length: Set the duration of the simulations in number of periods to adapt the indicator to your trading horizons.
Trajectory display: Visualize the simulated price trajectories directly on the chart to better understand possible future scenarios.
Dispersion calculations: Display the distribution of simulated final prices to assess dispersion and potential variations.
Sharpe ratio distribution: Analyze the risk-adjusted performance of simulations using the Sharpe ratio distribution.
Risk Statistics: Get key risk metrics like maximum drawdown, average return, and Value at Risk (VaR) at different confidence levels.
User Inputs:
Number of Simulations: 200 by default.
Simulation Length: 10 periods by default.
Brownian Motion Transparency: Adjust the transparency of simulated lines for better visualization.
Brownian Motion Display: Enable or disable the display of simulated paths.
Brownian Dispersion Display: Display the distribution of simulated final prices.
Sharpe Dispersion Display: Display the distribution of Sharpe ratios.
Customizable Colors: Choose colors for lines and tables.
Usage:
Configure Settings: Adjust the number of simulations, simulation length, and display preferences to suit your needs.
Analyze Simulated Paths: Simulated path lines appear on the chart, representing possible price developments.
Review Dispersion Charts: Review the charts to understand the distribution of final prices and Sharpe ratios, as well as key risk statistics. This indicator is ideal for traders looking to anticipate future price movements and assess the associated risks. With its detailed simulations and dispersion analyses, it provides valuable insight into the financial markets.
Trend Lines with Gradient [ST]Trend Lines with Gradient
Description in English:
This indicator identifies trend lines and applies a gradient coloring to visualize the strength of the trend over time.
The color is stronger at the beginning of the trend and weaker at the end, helping traders to visually assess the trend's development.
Detailed Explanation:
Configuration:
Length for Trend Calculation: This input defines the period over which the trend is calculated. The default value is 14. This means the script will look at the past 14 bars to determine the trend.
Uptrend Color: This input sets the base color for uptrend lines and gradient. The default color is green.
Downtrend Color: This input sets the base color for downtrend lines and gradient. The default color is red.
Color Strength: This input defines the strength of the color gradient. A higher value means a stronger gradient effect from the start to the end of the trend.
Trend Calculation:
The script calculates a simple moving average (SMA) over the defined length to identify trends.
Uptrend: Identified when the current close is above the SMA.
Downtrend: Identified when the current close is below the SMA.
Gradient Coloring:
The script uses a function to calculate the gradient color based on the position within the trend. The color is stronger at the beginning of the trend and becomes weaker towards the end.
Alpha Value: The transparency of the color is adjusted based on the position within the trend, creating a gradient effect.
Drawing Trend Lines:
Uptrend Lines: When an uptrend is identified, the script draws trend lines connecting the lows of the bars within the trend length, applying the gradient color.
Downtrend Lines: When a downtrend is identified, the script draws trend lines connecting the highs of the bars within the trend length, applying the gradient color.
These lines provide a visual representation of the trend strength over time.
Background Coloring:
The script also colors the background of the chart based on the trend, applying the gradient effect to further enhance visual cues for traders.
Indicator Benefits:
Visual Trend Identification: Helps traders quickly identify the direction and strength of trends using gradient coloring.
Enhanced Analysis: The gradient effect provides insights into the development of the trend, showing where it started strong and where it might be weakening.
Customizable Parameters: Allows traders to adjust the length for trend calculation and the strength of the gradient to suit different trading strategies and market conditions.
Justification of Component Combination:
Combining trend lines with gradient coloring provides a comprehensive visual tool for assessing trend strength and direction. The gradient effect enhances the trader's ability to see how trends develop over time.
How Components Work Together:
The script first calculates the SMA to identify trends.
It then draws trend lines connecting lows (for uptrends) and highs (for downtrends) with a gradient color.
The background color is also adjusted based on the trend direction, creating a unified visual tool for trend analysis.
Título: Linhas de Tendência com Gradiente
Descrição em Português:
Este indicador identifica linhas de tendência e aplica uma coloração em gradiente para visualizar a força da tendência ao longo do tempo. A cor é mais forte no início da tendência e mais fraca no final, ajudando os traders a avaliar visualmente o desenvolvimento da tendência.
Explicação Detalhada:
Configuração:
Comprimento para Cálculo da Tendência: Este input define o período sobre o qual a tendência é calculada. O valor padrão é 14. Isso significa que o script analisará os últimos 14 candles para determinar a tendência.
Cor da Tendência de Alta: Este input define a cor base para as linhas de tendência de alta e gradiente. A cor padrão é verde.
Cor da Tendência de Baixa: Este input define a cor base para as linhas de tendência de baixa e gradiente. A cor padrão é vermelha.
Força da Cor: Este input define a intensidade do efeito gradiente. Um valor mais alto significa um efeito de gradiente mais forte do início ao fim da tendência.
Cálculo da Tendência:
O script calcula uma média móvel simples (SMA) ao longo do comprimento definido para identificar as tendências.
Tendência de Alta: Identificada quando o fechamento atual está acima da SMA.
Tendência de Baixa: Identificada quando o fechamento atual está abaixo da SMA.
Coloração em Gradiente:
O script usa uma função para calcular a cor gradiente com base na posição dentro da tendência. A cor é mais forte no início da tendência e se torna mais fraca em direção ao final.
Valor Alpha: A transparência da cor é ajustada com base na posição dentro da tendência, criando um efeito de gradiente.
Desenho de Linhas de Tendência:
Linhas de Tendência de Alta: Quando uma tendência de alta é identificada, o script desenha linhas de tendência conectando as mínimas dos candles dentro do comprimento da tendência, aplicando a cor gradiente.
Linhas de Tendência de Baixa: Quando uma tendência de baixa é identificada, o script desenha linhas de tendência conectando as máximas dos candles dentro do comprimento da tendência, aplicando a cor gradiente.
Essas linhas fornecem uma representação visual da força da tendência ao longo do tempo.
Coloração de Fundo:
O script também colore o fundo do gráfico com base na tendência, aplicando o efeito gradiente para melhorar ainda mais as dicas visuais para os traders.
Benefícios do Indicador:
Identificação Visual de Tendências: Ajuda os traders a identificar rapidamente a direção e a força das tendências usando a coloração em gradiente.
Análise Aprimorada: O efeito gradiente fornece insights sobre o desenvolvimento da tendência, mostrando onde ela começou forte e onde pode estar enfraquecendo.
Parâmetros Personalizáveis: Permite que os traders ajustem o comprimento para cálculo da tendência e a intensidade do gradiente para se adequar a diferentes estratégias de negociação e condições de mercado.
Justificação da Combinação de Componentes:
Combinar linhas de tendência com coloração em gradiente fornece uma ferramenta visual abrangente para avaliar a força e a direção das tendências. O efeito gradiente melhora a capacidade do trader de ver como as tendências se desenvolvem ao longo do tempo.
Como os Componentes Funcionam Juntos:
O script primeiro calcula a SMA para identificar as tendências.
Em seguida, desenha linhas de tendência conectando mínimas (para tendências de alta) e máximas (para tendências de baixa) com uma cor gradiente.
A cor de fundo também é ajustada com base na direção da tendência, criando uma ferramenta visual unificada para análise de tendências.
Daily Liquidity Peaks and Troughs [ST]Daily Liquidity Peaks and Troughs
Description in English:
This indicator identifies peaks and troughs of highest liquidity on a daily timeframe by analyzing volume data. It helps traders visualize key points of high buying or selling pressure, which could indicate potential reversal or continuation areas.
Detailed Explanation:
Configuration:
Lookback Length: This input defines the period over which the highest high and lowest low are calculated. The default value is 14. This means the script will look at the past 14 bars to determine if the current high or low is a pivot point.
Volume Threshold Multiplier: This input defines the multiplier for the average volume. For example, a multiplier of 1.5 means the volume needs to be 1.5 times the average volume to be considered a significant peak or trough.
Peak Color: This input sets the color for liquidity peaks. The default color is red.
Trough Color: This input sets the color for liquidity troughs. The default color is green.
Volume Calculation:
Average Volume: The script calculates the simple moving average (SMA) of the volume over the lookback period. This helps to identify periods of significantly higher volume.
Volume Threshold: The threshold is determined by multiplying the average volume by the volume threshold multiplier. Only volumes exceeding this threshold are considered significant.
Identifying Peaks and Troughs:
Liquidity Peak: A peak is identified when the current high is the highest high over the lookback period and the current volume exceeds the volume threshold. This indicates a potential area of strong selling pressure.
Liquidity Trough: A trough is identified when the current low is the lowest low over the lookback period and the current volume exceeds the volume threshold. This indicates a potential area of strong buying pressure.
These peaks and troughs are marked on the chart with labels and shapes for easy visualization.
Plotting Peaks and Troughs:
Labels: The script uses labels to mark peaks and troughs on the chart. Peaks are marked with a red label and troughs with a green label.
Shapes: The script plots triangles above peaks and below troughs to highlight these areas visually.
Indicator Benefits:
Liquidity Identification: Helps traders identify key areas of high liquidity, indicating strong buying or selling pressure.
Visual Cues: Provides clear visual signals for potential reversal or continuation points, aiding in making informed trading decisions.
Customizable Parameters: Allows traders to adjust the lookback length and volume threshold to suit different trading strategies and market conditions.
Justification of Component Combination:
Peaks and Troughs Identification: Combining pivot points with volume analysis provides a robust method to identify significant liquidity areas. This helps in detecting potential market reversals or continuations.
Volume Analysis: Utilizing average volume and volume threshold ensures that only significant volume spikes are considered, enhancing the accuracy of identified peaks and troughs.
How Components Work Together:
The script first calculates the average volume over the specified lookback period.
It then checks each bar to see if it qualifies as a liquidity peak or trough based on the highest high, lowest low, and volume threshold.
When a peak or trough is identified, it is marked on the chart with a label and a shape, providing clear visual cues for traders.
Título: Picos e Fundos de Liquidez Diários
Descrição em Português:
Este indicador identifica picos e fundos de maior liquidez no gráfico diário, analisando os dados de volume. Ele ajuda os traders a visualizar pontos-chave de alta pressão de compra ou venda, o que pode indicar áreas potenciais de reversão ou continuação.
Explicação Detalhada:
Configuração:
Comprimento de Retrocesso: Este input define o período sobre o qual a máxima e mínima são calculadas. O valor padrão é 14. Isso significa que o script analisará os últimos 14 candles para determinar se a máxima ou mínima atual é um ponto de pivô.
Multiplicador de Limite de Volume: Este input define o multiplicador para o volume médio. Por exemplo, um multiplicador de 1.5 significa que o volume precisa ser 1.5 vezes o volume médio para ser considerado um pico ou fundo significativo.
Cor do Pico: Este input define a cor para os picos de liquidez. A cor padrão é vermelha.
Cor do Fundo: Este input define a cor para os fundos de liquidez. A cor padrão é verde.
Cálculo do Volume:
Volume Médio: O script calcula a média móvel simples (SMA) do volume ao longo do período de retrocesso. Isso ajuda a identificar períodos de volume significativamente mais alto.
Limite de Volume: O limite é determinado multiplicando o volume médio pelo multiplicador de limite de volume. Apenas volumes que excedem esse limite são considerados significativos.
Identificação de Picos e Fundos:
Pico de Liquidez: Um pico é identificado quando a máxima atual é a máxima mais alta no período de retrocesso e o volume atual excede o limite de volume. Isso indica uma potencial área de forte pressão de venda.
Fundo de Liquidez: Um fundo é identificado quando a mínima atual é a mínima mais baixa no período de retrocesso e o volume atual excede o limite de volume. Isso indica uma potencial área de forte pressão de compra.
Esses picos e fundos são marcados no gráfico com etiquetas e formas para fácil visualização.
Plotagem de Picos e Fundos:
Etiquetas: O script usa etiquetas para marcar picos e fundos no gráfico. Os picos são marcados com uma etiqueta vermelha e os fundos com uma etiqueta verde.
Formas: O script plota triângulos acima dos picos e abaixo dos fundos para destacar essas áreas visualmente.
Benefícios do Indicador:
Identificação de Liquidez: Ajuda os traders a identificar áreas-chave de alta liquidez, indicando forte pressão de compra ou venda.
Cues Visuais: Fornece sinais visuais claros para pontos potenciais de reversão ou continuação, auxiliando na tomada de decisões informadas.
Parâmetros Personalizáveis: Permite que os traders ajustem o comprimento de retrocesso e o limite de volume para se adequar a diferentes estratégias de negociação e condições de mercado.
Justificação da Combinação de Componentes:
Identificação de Picos e Fundos: A combinação de pontos de pivô com análise de volume fornece um método robusto para identificar áreas significativas de liquidez. Isso ajuda na detecção de potenciais reversões ou continuações de mercado.
Análise de Volume: Utilizar o volume médio e o limite de volume garante que apenas picos de volume significativos sejam considerados, aumentando a precisão dos picos e fundos identificados.
Como os Componentes Funcionam Juntos:
O script primeiro calcula o volume médio ao longo do período especificado de retrocesso.
Em seguida, verifica cada barra para ver se ela se qualifica como um pico ou fundo de liquidez com base
Enhanced Trend Arrows with Moving Average [ST]Enhanced Trend Arrows with Moving Average
Description in English:
This indicator is designed to identify market trends using a moving average and displays arrows after three consecutive closes above or below the moving average. It helps traders visualize confirmed trends and make informed decisions.
Detailed Explanation:
Configuration:
Length: Defines the period over which the moving average is calculated. The default value is 14.
MA Type: Allows choosing between a Simple Moving Average (SMA) and an Exponential Moving Average (EMA).
Uptrend Color: Sets the color of the arrows indicating an uptrend. The default color is green.
Downtrend Color: Sets the color of the arrows indicating a downtrend. The default color is red.
Moving Average Calculation:
The moving average (MA) is calculated based on the selected type (SMA or EMA) and period. The SMA is the simple arithmetic mean of the closing prices over the specified period, while the EMA gives more weight to recent prices.
Trend Identification:
The script detects when the price crosses above (crossover) or below (crossunder) the moving average.
When a crossover occurs (price moves above the MA), it indicates a potential uptrend, and the trend variable is set to 1.
When a crossunder occurs (price moves below the MA), it indicates a potential downtrend, and the trend variable is set to -1.
The script tracks the closing price at the crossover or crossunder point using the trendPrice variable.
It also counts consecutive bars above or below the moving average to confirm the trend, using above_count for uptrend and below_count for downtrend.
Arrow Display:
The script displays an up arrow ("▲") after three consecutive closes above the moving average, indicating a confirmed uptrend.
Similarly, it displays a down arrow ("▼") after three consecutive closes below the moving average, indicating a confirmed downtrend.
The arrows are displayed at the trendPrice level to clearly indicate the point at which the trend was confirmed.
Indicator Benefits:
Trend Identification: Helps traders identify market trends using moving averages, which are widely used in technical analysis.
Visual Cues: The arrows provide clear visual signals for confirmed trends, making it easier for traders to make informed decisions.
New Features and Enhancements:
This script has been enhanced to provide more accurate trend identification by ensuring arrows are only displayed after three consecutive closes above or below the moving average.
The color customization options for uptrend and downtrend arrows have been added for better visualization.
Improved description and explanations to make the functionality and usage of the indicator clearer.
Precise ATR Stop Loss - Daily Pullbacks [ST]Precise ATR Stop Loss - Daily Pullbacks
This indicator uses ATR (Average True Range) combined with the identification of pullback lows and highs on daily charts to calculate more precise stop loss levels.
How it works:
Identification of Pullbacks:
Pullback Lows: Identifies significant low points on daily charts that can serve as support.
Pullback Highs: Identifies significant high points on daily charts that can serve as resistance.
ATR (Average True Range):
Measures market volatility and is used to adjust stop loss levels according to market conditions.
Dynamic Stop Loss:
Stop Loss for Uptrend:
When a pullback low is identified on a daily chart, the stop loss is set slightly below this point, adjusted by the ATR.
This level is shown by a green line on the chart.
Stop Loss for Downtrend:
When a pullback high is identified on a daily chart, the stop loss is set slightly above this point, adjusted by the ATR.
This level is shown by a red line on the chart.
Indicator Benefits:
Improved Precision: Uses significant pullback points on daily charts to set stops more accurately.
Dynamic Stop Loss:
Automatically adjusts stop loss levels according to market volatility, providing more effective risk management.
Título: Precise ATR Stop Loss - Daily Pullbacks
Descrição em Português:
Este indicador utiliza o ATR (Average True Range) combinado com a identificação de fundos e topos de pullback em gráficos diários para calcular níveis de stop loss mais precisos.
Como funciona:
Identificação de Pullbacks:
Fundos de Pullback: Identifica pontos de mínima significativos em gráficos diários que podem servir como suporte.
Topos de Pullback: Identifica pontos de máxima significativos em gráficos diários que podem servir como resistência.
ATR (Average True Range):
Mede a volatilidade do mercado e é utilizado para ajustar os níveis de stop loss de acordo com as condições do mercado.
Stop Loss Dinâmico:
Stop Loss para Tendência de Alta: Quando um fundo de pullback é identificado em um gráfico diário, o stop loss é colocado um pouco abaixo desse ponto, ajustado pelo ATR. Este nível é mostrado por uma linha verde no gráfico.
Stop Loss para Tendência de Baixa: Quando um topo de pullback é identificado em um gráfico diário, o stop loss é colocado um pouco acima desse ponto, ajustado pelo ATR. Este nível é mostrado por uma linha vermelha no gráfico.
Benefícios do Indicador:
Precisão Melhorada: Utiliza pontos de pullback significativos em gráficos diários para posicionar stops de forma mais precisa.
Stop Loss Dinâmico: Ajusta automaticamente os níveis de stop loss de acordo com a volatilidade do mercado, proporcionando uma gestão de risco mais eficaz.
Important Levels by Sandun Kolambage
### Pine Script Indicator: Important Levels by Sandun Kolambage
#### Description
Introducing our new pivot point and high/low indicator for TradingView! This indicator is designed to help traders identify key levels of support and resistance across different timeframes, from daily to yearly. By analyzing historical data and market trends, our indicator displays the most important pivot points and high/low levels, giving you a better understanding of market dynamics and potential trading opportunities.
Whether you're a day trader, swing trader, or long-term investor, our indicator can help you optimize your trading strategy and achieve your financial goals. Install our indicator on TradingView today and start taking advantage of these important levels!
#### Key Features
- **Daily, Weekly, Monthly, and Yearly Levels:** Automatically plots the open, high, low, and close prices for different timeframes to help traders identify significant levels.
- **Pivot Points:** Calculates and displays pivot points for weekly, monthly, and yearly timeframes, providing additional support and resistance levels.
- **Customizable Line Styles:** Offers options to customize the appearance of the lines (solid, dashed, or dotted) for better visualization.
- **Conditional Coloring:** Uses color coding to highlight the relationship between different timeframe closes, making it easy to spot important levels.
#### How It Works
1. **Daily, Weekly, Monthly, and Yearly Levels:**
- The indicator uses `request.security` to fetch and display open, high, low, and close prices for daily, weekly, monthly, and yearly timeframes.
- Lines are plotted at these key levels with colors indicating their relationship to closes of other timeframes.
2. **Pivot Points:**
- Pivot points are calculated using the formula \((High + Low + Close) / 3\).
- These pivot points are plotted on the chart and labeled clearly to indicate potential support and resistance areas.
3. **Customizable Line Styles:**
- Users can select from solid, dashed, or dotted lines to represent the key levels and pivot points for better clarity and personal preference.
4. **Conditional Coloring:**
- The indicator applies conditional coloring to the lines based on the comparison of current close prices across different timeframes. Yellow indicates lower closes, and red indicates higher closes, making it easy to identify important price levels quickly.
#### Usage Instructions
1. **Enable Key Levels:**
- Toggle the "Daily Weekly Monthly High/Low" option to display or hide the respective levels.
- Select your preferred line style (solid, dashed, dotted) for better visibility.
2. **Display Pivot Points:**
- Toggle the "Pivot" option to show or hide the weekly, monthly, and yearly pivot points on the chart.
3. **Interpret Color Coding:**
- Yellow lines indicate levels where the close price is lower compared to a specific timeframe close.
- Red lines indicate levels where the close price is higher compared to a specific timeframe close.
- Specific colors for yearly levels and pivots are used to distinguish them clearly on the chart.
By following these guidelines, traders can effectively use this indicator to identify critical price levels and make informed trading decisions.
[SGM Return Distribution]Code Description
This Pine Script™ is designed to analyze the distribution of historical returns of a financial asset and project future confidence levels. It uses statistical techniques to estimate the probability of winning and losing as well as displaying confidence bands and distribution statistics.
User Entries
Length (252): The number of days used to calculate statistics.
Offset (20): Offset used to project future values.
Projection Days (10): Number of days projected into the future.
Smoothing Confidence Levels (10): Smoothing confidence bands.
Display Settings
Plot Distribution: Shows the distribution of returns.
Show Probabilities: Shows winning and losing probabilities.
Show Distribution Stats: Shows distribution statistics.
Show Confidence Bands: Shows confidence bands.
Show Confidence Lines: Shows confidence lines.
Calculations and Features
Distribution of Yields:
Calculates logarithmic returns and their statistics (average, volatility, skewness, kurtosis).
Projects the average and volatility over the projected number of days.
Displays the distribution of returns as a histogram.
Confidence Interval:
Uses the inv_norm function to calculate Z scores for different confidence levels.
Calculates the upper and lower bounds of the confidence bands.
Probability Display:
Calculates and displays win and loss probabilities based on the distribution of returns.
Statistics Display:
Shows key statistics such as mean, volatility, skewness and kurtosis.
Trust Bands and Lines:
Shows confidence bands and lines based on calculated confidence levels.
Mathematical Assumptions Used
Logarithmic Returns: Returns are calculated using the logarithm of prices, which is common for financial time series because it makes returns independent of price level.
Normal Distribution for Confidence Bands: Confidence interval calculations are based on the assumption that returns follow a normal distribution.
Average and Volatility Projection: Average returns and volatility are projected over a future period assuming they remain constant.
Skewness and Kurtosis: Although these measures are calculated for understanding the distribution of returns, they are not used in box projections but can provide additional information about the distribution of historical returns.
Use in Trading
Risk Estimation: Confidence bands can help estimate likely future price levels, which is crucial for determining strike levels and risk management.
Risk Management: Use confidence bands to set stop-loss and take-profit levels.
Probability Analysis: Win and loss probabilities can help assess a position's likelihood of success.
Potential Problems
Assumption of Normality for Confidence Bands: Financial returns do not always follow a normal distribution, especially in the presence of extreme events (fat tails).
Stationarity: Assuming that return statistics (average, volatility) remain constant over time can be erroneous in volatile market periods.
Limited Historical Data: Using a limited history (252 days) may not capture all possible behaviors of the asset.
Input Parameters: Results can be sensitive to the input parameters chosen (length, offset, etc.).
ToxicJ3ster - Day Trading SignalsThis Pine Script™ indicator, "ToxicJ3ster - Signals for Day Trading," is designed to assist traders in identifying key trading signals for day trading. It employs a combination of Moving Averages, RSI, Volume, ATR, ADX, Bollinger Bands, and VWAP to generate buy and sell signals. The script also incorporates multiple timeframe analysis to enhance signal accuracy. It is optimized for use on the 5-minute chart.
Purpose:
This script uniquely combines various technical indicators to create a comprehensive and reliable day trading strategy. Each indicator serves a specific purpose, and their integration is designed to provide multiple layers of confirmation for trading signals, reducing false signals and increasing trading accuracy.
1. Moving Averages: These are used to identify the overall trend direction. By calculating short and long period Moving Averages, the script can detect bullish and bearish crossovers, which are key signals for entering and exiting trades.
2. RSI Filtering: The Relative Strength Index (RSI) helps filter signals by ensuring trades are only taken in favorable market conditions. It detects overbought and oversold levels and trends within the RSI to confirm market momentum.
3. Volume and ATR Conditions: Volume and ATR multipliers are used to identify significant market activity. The script checks for volume spikes and volatility to confirm the strength of trends and avoid false signals.
4. ADX Filtering: The ADX is used to confirm the strength of a trend. By filtering out weak trends, the script focuses on strong and reliable signals, enhancing the accuracy of trade entries and exits.
5. Bollinger Bands: Bollinger Bands provide additional context for the trend and help identify potential reversal points. The script uses Bollinger Bands to avoid false signals and ensure trades are taken in trending markets.
6. Higher Timeframe Analysis: This feature ensures that signals align with broader market trends by using higher timeframe Moving Averages for trend confirmation. It adds a layer of robustness to the signals generated on the 5-minute chart.
7. VWAP Integration: VWAP is used for intraday trading signals. By calculating the VWAP and generating buy and sell signals based on its crossover with the price, the script provides additional confirmation for trade entries.
8. MACD Analysis: The MACD line, signal line, and histogram are calculated to generate additional buy/sell signals. The MACD is used to detect changes in the strength, direction, momentum, and duration of a trend.
9. Alert System: Custom alerts are integrated to notify traders of potential trading opportunities based on the signals generated by the script.
How It Works:
- Trend Detection: The script calculates short and long period Moving Averages and identifies bullish and bearish crossovers to determine the trend direction.
- Signal Filtering: RSI, Volume, ATR, and ADX are used to filter and confirm signals, ensuring trades are taken in strong and favorable market conditions.
- Multiple Timeframe Analysis: The script uses higher timeframe Moving Averages to confirm trends, aligning signals with broader market movements.
- Additional Confirmations: VWAP, MACD, and Bollinger Bands provide multiple layers of confirmation for buy and sell signals, enhancing the reliability of the trading strategy.
Usage:
- Customize the input parameters to suit your trading strategy and preferences.
- Monitor the generated signals and alerts to make informed trading decisions.
- This script is made to work best on the 5-minute chart.
Disclaimer:
This indicator is not perfect and can generate false signals. It is up to the trader to determine how they would like to proceed with their trades. Always conduct thorough research and consider seeking advice from a financial professional before making trading decisions. Use this script at your own risk.
9:30 Opening Price MarkerIndicator Name: 9:30 Opening Price Marker
Description:
The "9:30 Opening Price Marker" is a custom indicator for TradingView that highlights the opening price at 9:30 AM in the UTC-4 time zone (Eastern Daylight Time) on the chart. It helps traders and analysts easily identify and track the price level at which the market opens each day.
Features:
Timezone Conversion: The indicator converts the current time to the UTC-4 timezone (Eastern Daylight Time) to accurately determine the 9:30 AM opening price.
Visual Marker: It visually marks the opening price with a dotted line on the chart, making it prominent for quick reference.
Label: Additionally, it includes a label next to the opening price line, indicating "9:30 Opening Price", enhancing clarity and usability.
Overlay: The indicator is designed to overlay on the price chart, ensuring it doesn't clutter other technical analysis tools or indicators.
Usage:
Day-to-Day Analysis: Traders can use this indicator to quickly gauge market sentiment at the daily opening, which can influence intraday trading strategies.
Reference Point: Acts as a reference point for identifying price movements and potential trading opportunities relative to the day's opening price.
Time-Specific Insights: Provides insights into price action immediately following the market open, aiding in decision-making based on early trading activity.
Installation: Copy the provided Pine Script code into TradingView's Pine Editor, save the script as an indicator, and apply it to your chart.
Disclaimer : This indicator is intended for informational purposes only and should not be solely relied upon for trading decisions. Always consider multiple sources of information and perform thorough analysis before executing trades.
ARIMA Indicator with Optional SmoothingOverview
The ARIMA (AutoRegressive Integrated Moving Average) Indicator is a powerful tool used to forecast future price movements by combining differencing, autoregressive, and moving average components. This indicator is designed to help traders identify trends and potential reversal points by analyzing the historical price data.
Key Features
AutoRegressive Component (AR): Utilizes past values to predict future prices.
Moving Average Component (MA): Averages past price differences to smooth out noise.
Differencing: Reduces non-stationarity in the time series data.
Optional Smoothing: Applies EMA to the ARIMA output for a smoother signal.
Customizable Parameters: Allows users to adjust AR and MA orders, differencing periods, and smoothing lengths.
Concepts Underlying the Calculations
Differencing: Subtracts previous prices from current prices to remove trends and seasonality, making the data stationary.
AutoRegressive Component (AR): Predicts future prices based on a linear combination of past values.
Moving Average Component (MA): Uses past forecast errors to refine future predictions.
Exponential Moving Average (EMA): Applies more weight to recent prices, providing a smoother and more responsive signal.
How It Works
The ARIMA Indicator first calculates the differenced series to achieve stationarity. Then, it computes the simple moving average (SMA) of this differenced series. The indicator uses the AR and MA components to adjust the SMA, creating an approximation of the ARIMA model. Finally, an optional smoothing step using EMA can be applied to the ARIMA approximation to produce a smoother signal.
How Traders Can Use It
Traders can use the ARIMA Indicator to:
Identify Trends: Detect emerging trends by observing the direction of the ARIMA line.
Spot Reversals: Look for divergences between the ARIMA line and the price to identify potential reversal points.
Generate Trading Signals: Use crossovers between the ARIMA line and the price to generate buy or sell signals.
Filter Noise: Enable the optional smoothing to filter out market noise and focus on significant price movements.
Example Usage Instructions
Add the ARIMA Indicator to your chart.
Adjust the input parameters to suit your trading strategy:
Set the SMA Length (e.g., 14).
Choose the Differencing Period (e.g., 1).
Define the AR Order (p) and MA Order (q) (e.g., 1).
Configure the Smoothing Length if smoothing is desired (e.g., 5).
Enable or disable smoothing as needed.
Observe the ARIMA line (blue) and compare it to the price chart.
Use the ARIMA line to identify trends and potential reversals.
Implement trading decisions based on the ARIMA line’s behavior relative to the price.
Simple Risk-to-Reward Multiplier A simple R/R indicator that allows you to input your entry price and stop loss (in ticks). Then, your take profit levels are R-multipliers based on your stop loss. You can have up to 5 take profit levels on your chart. There is also a function to indicate if it is a long or short setup. You can also set alerts with this script, allowing you the ability not to have to stare at the charts all day.
[Suitable Hope] Crypto Upside Model 3.0The "Crypto Upside Model 3.0" indicator dynamically calculates the potential price of any cryptocurrency based on various percentages of Ethereum or Bitcoin's market capitalization.
By fetching and analyzing marketcap data from TradingView sources, it allows traders to visualize potential price targets if their chosen cryptocurrency reaches specific market dominance levels. This tool is designed for daily timeframe analysis and can be used to set informed price expectations and strategic investment goals, providing valuable insights for long-term investment planning.
Why using the Crypto Upside Model 3.0?
Strategic Planning: Helps traders and investors set realistic price targets and investment goals by visualizing potential market cap scenarios.
Informed Decision-Making: Provides a data-driven approach to understanding how a cryptocurrency might perform relative to major assets like Bitcoin and Ethereum.
Customizable Analysis: Allows users to choose different comparison assets (ETH or BTC) and visualize various market cap dominance percentages, offering tailored insights.
Daily Timeframe Focus: Ideal for swing traders and long-term investors who operate on a daily analysis timeframe, providing relevant and actionable data.
Bull Markets: Identify potential price targets if your cryptocurrency's market cap increases significantly.
Bear Markets: Assess how much value could be retained relative to major cryptocurrencies.
Strategic Entry/Exit Points: Use the visualized targets to plan entry or exit points in your trading strategy.
Comparative Advantage
Dynamic Adaptation: Unlike fixed indicators, this tool adapts to any active chart, making it versatile for multiple cryptocurrencies.
Market Cap Insights: Provides a unique perspective by linking price targets to market cap dominance, a critical factor in the crypto market.
User Instructions
Setup: Add the " Upside Model 3.0" indicator to your TradingView chart.
Configuration: Use the input settings to select the comparison cryptocurrency (ETH or BTC) and enable the desired market cap percentage plots.
Analysis: The indicator will display potential price targets based on the selected market cap percentages, providing a visual guide for setting price expectations.
Limitations
Marketcap Data Availability: The indicator relies on marketcap data from TradingView, which may not be available for all cryptocurrencies. If the data is unavailable, the indicator will not function for that asset. This tool is more likely to work with older, established cryptocurrencies, as marketcap data for newer cryptocurrencies may not yet be available.
Daily Timeframe Restriction: The indicator is designed to work exclusively on the daily timeframe, limiting its applicability for intraday trading.
Assumptions of Market Dynamics: The calculations assume a direct correlation between market dominance and price, which may not account for other market dynamics and external factors influencing prices.
Data Accuracy: The accuracy of the indicator depends on the reliability of the data provided by TradingView, which may sometimes experience delays or inaccuracies.
Currently available cryptocurrencies: Bitcoin, Ethereum, Solana, Binance Coin, Cardano, Ripple, Polkadot, Avalanche, Chainlink, Litecoin, Dogecoin, Terra, Uniswap, VeChain, Stellar, Internet Computer, Hedera, Filecoin, Monero, Aave, TRON, NEAR Protocol, Compound, Maker,... For all compatible cryptocurrencies, please consult CRYPTOCAP's documentation.
Final notes
Although various sources ask a payment or user data for similar kind of private indicators, this one is entirely free and open source. "Uncanny" isn't it? I hope this indicator will provide you value. Feel free to leave a message if you have any questions or constructive feedback.
Examples of how I use this indicator
When using ETH's historical price as a reference compared to Bitcoin's marketcap, we can notice that price generally has been held between the +-30% and 50% lines of BTC's marketcap. If history is repeating again, we can expect major resistances around the 50% looking ahead into the future. This for me would be a great area to potentially reduce my ETH spot position.
When using SOL's historical price action, we can notice that the 15% line of ETH's marketcap has been a top in the previous cycle. Today SOL (July 2024), is back at this level. Could this be a top again or could price break this 15% level and head perhaps towards 30% which currently sits around $260? Time will tell.
These are 2 simple example of how I interpret the data. I'm keen to hear what other findings with other pairs you can find.
Sector Analysis This indicator offers a straightforward yet effective way to analyze and compare the performance of various sectors within the market. By normalizing and plotting sector-specific data as lines on the chart, it enables users to quickly assess sector rotations, relative strength, and potential shifts in market dynamics. The sector labels further enhance usability by clearly identifying each line’s corresponding sector, facilitating easy interpretation and analysis.
Risk Radar ProThe "Risk Radar Pro" indicator is a sophisticated tool designed to help investors and traders assess the risk and performance of their investments over a specified period. This presentation will explain each component of the indicator, how to interpret the results, and the advantages compared to traditional metrics.
The "Risk Radar Pro" indicator includes several key metrics:
● Beta
● Maximum Drawdown
● Compound Annual Growth Rate (CAGR)
● Annualized Volatility
● Dynamic Sharpe Ratio
● Dynamic Sortino Ratio
Each of these metrics is dynamically calculated using data from the entire selected period, providing a more adaptive and accurate measure of performance and risk.
1. Start Date
● Description: The date from which the calculations begin.
● Interpretation: This allows the user to set a specific period for analysis, ensuring that all metrics reflect the performance from this point onward.
2. Beta
● Description: Beta measures the volatility or systematic risk of the instrument relative to a reference index (e.g., SPY).
● Interpretation: A beta of 1 indicates that the instrument moves with the market. A beta greater than 1 indicates more volatility than the market, while a beta less than 1 indicates less volatility.
● Advantages: Unlike classic beta, which typically uses fixed historical intervals, this dynamic beta adjusts to market changes over the entire selected period, providing a more responsive measure.
3. Maximum Drawdown
● Description: The maximum observed loss from a peak to a trough before a new peak is achieved.
● Interpretation: This shows the largest single drop in value during the specified period. It is a critical measure of downside risk.
● Advantages: By tracking the maximum drawdown dynamically, the indicator can provide timely alerts when significant losses occur, allowing for better risk management.
4. Annualized Performance
● Description: The mean annual growth rate of the investment over the specified period.
● Interpretation: The Annualized Performance represents the smoothed annual rate at which the investment would have grown if it had grown at a steady rate.
● Advantages: This dynamic calculation reflects the actual long-term growth trend of the investment rather than relying on a fixed time frame.
5. Annualized Volatility
● Description: Measures the degree of variation in the instrument's returns over time, expressed as a percentage.
● Interpretation: Higher volatility indicates greater risk, as the investment's returns fluctuate more.
● Advantages: Annualized volatility calculated over the entire selected period provides a more accurate measure of risk, as it includes all market conditions encountered during that time.
6. Dynamic Sharpe Ratio
● Description: Measures the risk-adjusted return of an investment relative to its volatility.
● Choice of Risk-Free Rate Ticker: Users can select a ticker symbol to represent the risk-free rate in Sharpe ratio calculations. The default option is US03M, representing the 3-month US Treasury bill.
● Interpretation: A higher Sharpe ratio indicates better risk-adjusted returns. This ratio accounts for the risk-free rate to provide a comparison with risk-free investments.
● Advantages: By using returns and volatility over the entire period, the dynamic Sharpe ratio adjusts to changes in market conditions, offering a more accurate measure than traditional static calculations.
7. Dynamic Sortino Ratio
● Description: Similar to the Sharpe ratio, but focuses only on downside risk.
Interpretation: A higher Sortino ratio indicates better risk-adjusted returns, focusing solely on negative returns, which are more relevant to risk-averse investors.
● Choice of Risk-Free Rate Ticker: Similarly, users can choose a ticker symbol for the risk-free rate in Sortino ratio calculations. By default, this is also set to US03M.
● Advantages: This ratio's dynamic calculation considering the downside deviation over the entire period provides a more accurate measure of risk-adjusted returns in volatile markets.
Comparison with Basic Metrics
● Static vs. Dynamic Calculations: Traditional metrics often use fixed historical intervals, which may not reflect current market conditions. The dynamic calculations in "Risk Radar Pro" adjust to market changes, providing more relevant and timely information.
● Comprehensive Risk Assessment: By including metrics like maximum drawdown, Sharpe ratio, and Sortino ratio, the indicator provides a holistic view of both upside potential and downside risk.
● User Customization: Users can customize the start date, reference index, risk-free rate, and table position, tailoring the indicator to their specific needs and preferences.
Conclusion
The "Risk Radar Pro" indicator is a powerful tool for investors and traders looking to assess and manage risk more effectively. By providing dynamic, comprehensive metrics, it offers a significant advantage over traditional static calculations, ensuring that users have the most accurate and relevant information to make informed decisions.
The "Risk Radar Pro" indicator provides analytical tools and metrics for informational purposes only. It is not intended as financial advice. Users should conduct their own research and consider their individual risk tolerance and investment objectives before making any investment decisions based on the indicator's outputs. Trading and investing involve risks, including the risk of loss. Past performance is not indicative of future results.
CNN Fear and Greed IndexThe “CNN Fear and Greed Index” indicator in this context is designed to gauge market sentiment based on a combination of several fundamental indicators. Here’s a breakdown of how this indicator works and what it represents:
Components of the Indicator:
1. Stock Price Momentum:
• Calculates the momentum of the S&P 500 index relative to its 125-day moving average. Momentum is essentially the rate of acceleration or deceleration of price movements over time.
2. Stock Price Strength:
• Measures the breadth of the market by comparing the number of stocks hitting 52-week highs versus lows. This provides insights into the overall strength or weakness of the market trend.
3. Stock Price Breadth:
• Evaluates the volume of shares trading on the rise versus the falling volume. Higher volume on rising days suggests positive market breadth, while higher volume on declining days indicates negative breadth.
4. Put and Call Options Ratio (Put/Call Ratio):
• This ratio indicates the sentiment of investors in the options market. A higher put/call ratio typically signals increased bearish sentiment (more puts relative to calls) and vice versa.
5. Market Volatility (VIX):
• Also known as the “fear gauge,” the VIX measures the expected volatility in the market over the next 30 days. Higher VIX values indicate higher expected volatility and often correlate with increased fear or uncertainty in the market.
6. Safe Haven Demand:
• Compares the returns of stocks (represented by S&P 500) versus safer investments like 10-year Treasury bonds. Higher returns on bonds relative to stocks suggest a flight to safety or risk aversion.
7. Junk Bond Demand:
• Measures the spread between yields on high-yield (junk) bonds and investment-grade bonds. Widening spreads may indicate increasing risk aversion as investors demand higher yields for riskier bonds.
Normalization and Weighting:
• Normalization: Each component is normalized to a scale of 0 to 100 using a function that adjusts the range based on historical highs and lows of the respective indicator.
• Weighting: The user can adjust the relative importance (weight) of each component using input parameters. This customization allows for different interpretations of market sentiment based on which factors are considered more influential.
Fear and Greed Index Calculation:
• The Fear and Greed Index is calculated as a weighted average of all normalized components. This index provides a single numerical value that summarizes the overall sentiment of the market based on the selected indicators.
Usage:
• Visualization: The indicator plots the Fear and Greed Index and its components on the chart. This allows traders and analysts to visually assess the sentiment trends over time.
• Analysis: Changes in the Fear and Greed Index can signal shifts in market sentiment. For example, a rising index may indicate increasing greed and potential overbought conditions, while a falling index may suggest increasing fear and potential oversold conditions.
• Customization: Traders can customize the indicator by adjusting the weights assigned to each component based on their trading strategies and market insights.
By integrating multiple fundamental indicators into a single index, the “CNN Fear and Greed Index” provides a comprehensive snapshot of market sentiment, helping traders make informed decisions about market entry, exit, and risk management strategies.
Fourier Extrapolation of PriceOverview
The "Fourier Extrapolation of Price" indicator utilizes Fourier Transform methods to analyze and predict future price movements based on historical data. By decomposing price series into their frequency components, this indicator provides a forecast of future price trends, making it a powerful tool for traders seeking advanced analytical techniques.
Key Features
Fourier Transform Analysis: Applies Discrete Fourier Transform (DFT) to the price series to identify frequency components.
Price Prediction: Forecasts future prices based on the dominant frequencies detected in the historical data.
Customizable Parameters: Allows users to set the length of historical data for analysis and the forecast period.
Visual Representation: Plots historical and forecasted prices for easy comparison.
How It Works
The indicator first normalizes the price series by subtracting the mean. It then applies the Discrete Fourier Transform (DFT) to the normalized data, extracting the real and imaginary parts. The magnitude and phase of these components are used to forecast future prices through an inverse DFT. Finally, the forecasted prices are denormalized and plotted alongside the historical prices on the chart.
Usage Instructions
Configure Parameters: Set the length of the historical data (DFT Length) and the forecast period (Forecast Length) to suit your analysis.
Apply to Chart: Add the indicator to your chart to start the analysis. Note that the computation may take a minute to complete due to the complexity of the Fourier Transform.
Analyze Results: Review the plotted forecasted prices (in red) alongside the historical prices (in blue) to identify potential future trends.
Trading Decisions: Use the forecasted price trends to inform your trading decisions, such as identifying potential entry and exit points based on predicted market movements.
Note : Due to the computational complexity of the Fourier Transform, the prediction may take a minute to load. Please be patient as the indicator processes the data to provide accurate forecasts.
This indicator is useful for traders who:
Advanced Analysis: Seek advanced mathematical techniques for market analysis.
Trend Prediction: Want to forecast future price movements based on historical data.
Customizable Analysis: Prefer customizable parameters for tailored analysis.
Visual Insights: Appreciate visual representation of historical and forecasted prices for better decision-making.
Gap Trend Lines by @eyemaginativeSummary:
The "Gap Trend Lines" script is designed to identify and visualize gaps between the close of one candle and the opening of the next on a TradingView chart. It draws extended trend lines to visually connect these gaps, helping traders to identify significant price movements between consecutive candles.
Functionality:
Indicator Setup:
The script is set as an overlay indicator on the main chart.
It includes settings for maximum line and label counts, ensuring efficient performance.
Parameter Customization:
Gap Threshold: Defines the minimum gap size considered significant.
Line Colors: Allows customization of colors for small and large gaps.
Line Thickness and Style: Provides options to adjust the thickness and style (solid, dotted, dashed) of the trend lines.
Drawing Extended Trend Lines:
For each bar (candlestick) on the chart, the script checks if there is a gap between the previous candle's close and the current candle's open.
If a gap is detected (i.e., close != open), it determines the size of the gap.
Depending on the size relative to the defined threshold, it selects the appropriate color (small or large gap).
It then draws an extended trend line that starts from the close of the previous candle (bar_index , close ) and extends to the open of the current candle (bar_index, open).
The trend line is drawn with the specified thickness, color, and style.
Dynamic Line Attribute Changes:
The script includes a function (changeLineAttributes()) that periodically changes the color and style of the trend lines.
By default, it changes the color every 4 hours (adjustable), alternating between green and the original color.
Enhanced Functionality:
Handles both small and large gaps with different visual cues (colors).
Supports extended trend lines that span both past and future directions (extend=extend.both), ensuring visibility across the entire chart.
Usage:
Traders can use the "Gap Trend Lines" script to:
Identify and analyze gaps between candlesticks.
Visualize significant price movements or breaks in continuity.
Customize the appearance of trend lines for better clarity and analysis.
By utilizing this script, traders can gain insights into price gap dynamics directly on TradingView charts, aiding in decision-making and strategy development.
Exponential Grid [Phi, Pi, Euler]If you disagree with one of the EMH principles that price is too random, then by definition you must agree that historic price has deterministic function to a scenario ahead.
I personally believe that constants like phi, pi and e can mimic exponential growth of the price.
In this script, first grid is based on the Lowest price multiplied with self fraction of the constant.
For example:
If you are familiar with fib ratio 1.272, then you must know that it is 1.618 to the power of 0.5.
With default settings of exponent step 0.25
First grid = Lowest price x phi^0.25
Second grid = Lowest price x phi^0.25x2
Third grid = Lowest price x phi^0.25x3 and so on
The script will automatically find the lowest price and update the grid values.
Or you can set up your custom Lowest price manually if you feel like the All Time Low level loses its relevance value after long period.
There are 64 grids including Lowest price level. And it wasn't by a chance. Pine Script has a limitation of max 64 plots. Number of grids shown in the chart depends on the highest price. Once price breaks above ATH a couple of next grids will be plotted automatically. In most cases if everything is plotted, the chart appears squeezed and you'll need to zoom in to see it. Therefore, I adjusted it relatively to the scale of the chart for the comfort.
In some cases 64 plots aren't enough to cover the whole chart. For example, let's take a look at NVIDIA chart:
Since the price has started with 0.0333, it is way too small to cover all with default settings.
We are left with 2 choices:
Either Enable "Round"
OR increase Exponent Step (from 0.25 to 0.5 in the particular example below)
If you set constant to pi or e which is a bigger number than phi, expect the gaps to be bigger. To reduce it to a more gradual way of expansion you can decrease Exponent Step.
Earnings Beat IndicatorThis indicator seeks to predict whether a stock will beat or miss earnings by forecasting revenues, and subsequently net income, using linear regression. The y-values of this regression are revenues and the x-axis is an economic series of your choosing. Double-click the status line (the words "US" and "GDP") to change economic datasets. The full list of economic datasets available in TradingView is in the Help Center.
Instructions:
1. Double-click on the status line (the fields "US" and "GDP"). The inputs tab will pop up.
2. Type in the country and data codes for the economic datasets you believe have the highest correlation with revenues and net margins respectively.
3. Check the correlation coefficient between financial data and economic data by interpreting the white and gray numbers on the status line - white for the correlation coefficient between revenues and your chosen economic dataset, and gray for the correlation coefficient between net margins and your chosen economic dataset. These numbers should be as close to +1 or -1 as possible.
4. Interpret the results - the blue number indicates whether revenues will beat estimates and the green number indicates whether earnings will beat estimates. A 1 for both outputs indicates a double beat, a 1 and a 0 indicates a revenue beat but not an earnings beat, a 0 and a 1 indicates an earnings beat but not a revenue beat, and a 0 and a 0 indicates a double miss.
- DickZhones
COT-NocTradingIndicator Description:
Commitments of Traders (COT) Data Indicator
The Commitments of Traders (COT) Data Indicator on TradingView provides insights into market sentiment based on the weekly CFTC (Commodity Futures Trading Commission) reports. It plots three key lines derived from this data, offering valuable information for traders seeking to understand positioning trends among large speculators, commercial hedgers, and small traders.
Lines Plotted:
Commercials: Reflects positions held by commercial entities engaged in the production or sale of the underlying commodity. Their positions often act as a hedge against physical market exposure.
Non Commercials: Represents positions held by large speculators, typically hedge funds and large financial institutions, who often take more significant positions based on their market outlook.
Retail Traders: Shows positions held by small traders, including individual retail traders and smaller institutional players, providing insights into the broader retail sentiment.
Labeling:
Each line is accompanied by a label to clearly identify its corresponding group, enhancing clarity and ease of interpretation for traders analyzing the indicator.
Usage:
Trend Confirmation: Monitor the positioning of commercial and non commercial relative to retail traders to confirm trends and potential reversals.
Sentiment Analysis: Assess shifts in market sentiment based on changes in positioning across different trader categories.
Trading Signals: Use crossovers, divergences, and extreme positioning relative to historical data to generate potential trading signals.
This indicator is valuable for traders looking to incorporate institutional positioning data into their trading strategies, offering a deeper understanding of market dynamics beyond price action alone.
