Kalman PSaR [BackQuant]Kalman PSaR
Overview and Innovation
The Kalman PSaR combines the well-known Parabolic SAR (PSaR) with the advanced smoothing capabilities of the Kalman Filter . This innovative tool aims to enhance the traditional PSaR by integrating Kalman filtering, which reduces noise and improves trend detection. The Kalman PSaR adapts dynamically to price movements, making it a highly effective indicator for spotting trend shifts while minimizing the impact of false signals caused by market volatility.
Please Find the Basic Kalman Here:
Kalman Filter Dynamics
The Kalman Filter is a powerful algorithm for estimating the true value of a system amidst noisy data. In the Kalman PSaR, this filter is applied to the high, low, and closing prices, resulting in a smoother and more accurate representation of price action. The filter’s parameters—process noise and measurement noise—are customizable, allowing traders to fine-tune the sensitivity of the indicator to market conditions. By reducing the impact of noise, the Kalman-filtered PSaR offers clearer signals for identifying trend reversals and continuations.
Enhanced PSaR Calculation
The traditional Parabolic SAR is a popular trend-following indicator that highlights potential entry and exit points based on price acceleration. In the Kalman PSaR, this calculation is enhanced by the Kalman-filtered prices, providing a smoother and more reliable signal. The indicator continuously updates based on the acceleration factor and max step values, while the Kalman filter ensures that sudden price spikes or market noise do not trigger false signals.
Min Step and Max Step: These settings control the sensitivity of the PSaR. The Min Step sets the initial acceleration factor, while the Max Step limits how fast the PSaR adapts to price changes, helping traders fine-tune the indicator’s responsiveness.
Optional Smoothing Techniques To further enhance the signal clarity, the Kalman PSaR includes an optional smoothing feature. Traders can choose from various smoothing methods, such as SMA, Hull, EMA, WMA, TEMA, and more, to reduce short-term fluctuations and emphasize the underlying trend. The smoothing period is customizable, allowing traders to adjust the indicator’s behavior according to their preferred trading style and timeframe.
Color-Coded Candle Painting The Kalman PSaR features color-coded candles that change according to the trend direction. When the price is above the PSaR, candles are painted green to indicate a long trend, and when the price is below the PSaR, candles are painted red to signal a short trend. This visual representation makes it easy to interpret market sentiment at a glance, improving decision-making speed during fast-moving markets.
Key Features and Customization
Kalman Filter Customization: The process noise and measurement noise parameters allow traders to adjust how aggressively the filter adapts to price changes, making it suitable for both volatile and stable markets.
Smoothing Options: A variety of moving average types, such as SMA, Hull, EMA, and more, can be applied to smooth the PSaR values, ensuring that the signal remains clear even in choppy markets.
Dynamic Trend Detection: The Kalman PSaR dynamically updates based on price movements, helping traders spot trend reversals early while filtering out false signals caused by short-term volatility.
Bar Coloring and PSaR Plotting: Traders can choose to color candles based on trend direction or plot the PSaR directly on the chart for additional visual clarity.
Practical Applications
Trend-Following Strategies: The Kalman PSaR excels in trend-following strategies by providing timely signals of trend changes. The dynamic nature of the indicator allows traders to capture significant price movements while avoiding market noise.
Reversal Identification: The indicator’s ability to filter out noise and provide smoother signals makes it ideal for identifying reversals in volatile markets.
Risk Management: By plotting clear stop levels based on the PSaR, traders can use this indicator to effectively manage risk, placing stop-loss orders at key points based on the trend direction.
Conclusion
The Kalman PSaR is a fusion of the classic Parabolic SAR and the Kalman filter, offering enhanced trend detection with reduced noise. Its customizable filtering and smoothing options, combined with dynamic trend-following capabilities, make it a versatile tool for traders seeking to improve their timing and signal accuracy. The adaptive nature of the Kalman filter, combined with the robust PSaR logic, helps traders stay on the right side of the market and manage risk more effectively.
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Kalman Filter RoC with Adaptive Thresholds [BackQuant]Kalman Filter RoC with Adaptive Thresholds
Another Kalman Script !!
Please Find the Basic Kalman Here:
Overview and Purpose
The Kalman Filter RoC with Adaptive Thresholds is an advanced tool designed for traders seeking to refine their trend detection and momentum analysis. By combining the robustness of the Kalman filter with the Rate of Change (RoC) indicator, this tool offers a highly responsive and adaptive method to identify shifts in market trends. The inclusion of adaptive thresholding further enhances the indicator’s precision by dynamically adjusting to market volatility, providing traders with reliable entry and exit signals.
Kalman Filter Dynamics
The Kalman Filter is renowned for its ability to estimate the true state of a system amidst noisy data. In this indicator, the Kalman filter is applied to the price data to smooth out fluctuations and generate a more accurate representation of the underlying trend. This is particularly useful in volatile markets where noise can obscure the true direction of price movements. The Kalman filter adapts in real-time based on user-defined parameters, such as process noise and measurement noise, making it highly customizable for different market conditions.
Rate of Change (RoC) and Smoothing The Rate of Change (RoC) is a classic momentum indicator that measures the percentage change in price over a specific period. By integrating it with the Kalman-filtered price, the RoC becomes more responsive to genuine price trends while filtering out short-term noise. An optional smoothing feature using the ALMA (Arnaud Legoux Moving Average) further refines the signal, allowing traders to adjust the calculation length and smoothing factor (sigma) for even greater precision.
Adaptive Thresholds A key innovation in this indicator is the adaptive thresholding mechanism. Traditional RoC indicators rely on static thresholds to identify overbought or oversold conditions, but the Kalman Filter RoC adapts these thresholds dynamically. The adaptive thresholds are calculated based on the historical volatility of the filtered RoC values, allowing the indicator to adjust in response to changing market conditions. This feature reduces the risk of false signals in choppy or highly volatile markets.
Divergence Detection The Kalman Filter RoC also includes divergence detection, helping traders identify when the momentum of the RoC diverges from the price action. Divergences can often signal potential reversals or trend continuations, making them a valuable tool in any trader’s toolkit. Regular and hidden divergences are plotted directly on the chart, providing visual cues for traders to act upon.
Customization and Flexibility This indicator offers a wide range of customization options, making it suitable for various trading strategies and market conditions:
Process Noise & Measurement Noise: These parameters control how sensitive the Kalman filter is to price changes and help traders fine-tune the balance between noise reduction and signal responsiveness.
ALMA Smoothing: Traders can apply ALMA smoothing to the RoC signal to reduce short-term volatility and improve signal clarity.
Adaptive Threshold Calculation Period: The length of the lookback period for the adaptive thresholds can be adjusted, allowing traders to tailor the indicator to fit their specific trading style.
Practical Applications
Trend Detection: The Kalman-filtered RoC helps identify shifts in momentum, making it easier for traders to spot emerging trends early. The dynamic thresholding ensures that these signals are reliable, even in volatile markets.
Divergence Trading: Divergences between the RoC and price action are clear indicators of potential trend reversals. The visual plotting of divergences simplifies the process of identifying these opportunities.
Momentum Analysis: The combination of Kalman filtering and RoC provides a smoother, more accurate view of market momentum, helping traders stay on the right side of the market.
Conclusion
The Kalman Filter RoC is a powerful and adaptable tool that merges advanced filtering techniques with momentum analysis. Its real-time responsiveness and dynamic thresholding make it a highly effective indicator for identifying trends, managing risk, and capitalizing on divergence signals. Traders looking to enhance their trend-following or momentum strategies will find this indicator to be a valuable addition to their toolkit.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Austin's Range Filter with Trade SignalsAustin’s Range Filter with Trade Signals
Description:
Austin’s Range Filter with Trade Signals is a versatile indicator that combines a custom range filter with dynamic buy and sell signals based on EMA crossovers. This indicator is designed to help traders easily identify trend reversals and optimal trade entry/exit points.
Key Features:
• Range Filter Calculation: The indicator calculates the highest and lowest price over a user-defined period, then multiplies the difference by a customizable multiplier to establish a dynamic range. A combined middle band (average of the upper and lower bounds) is plotted for a clearer visual representation of the price trend.
• Exponential Moving Average (EMA): A user-configurable EMA is added, which acts as the primary signal line. You can adjust the length of the EMA to suit your trading style.
• Buy and Sell Signals:
• Buy Signal: Triggered when the price crosses above the EMA, indicating a potential upward trend.
• Sell Signal: Triggered when the price crosses below the EMA, indicating a potential downward trend.
• Alerts: Custom alert conditions for buy and sell signals allow you to set up real-time notifications when the signal changes, so you never miss an opportunity.
• Customizable Display: You can toggle the visibility of the combined band (purple) and the EMA (blue) for a cleaner chart.
How It Works:
• Buy when the price crosses above the EMA.
• Sell when the price crosses below the EMA.
• Background colors indicate whether the current price is above or below the calculated range, helping you visually identify bullish and bearish conditions.
Customization Options:
• Range Filter Length: The lookback period for the highest/lowest price calculation.
• Range Multiplier: Adjusts the size of the range.
• EMA Length: Set the length of the EMA to fine-tune the signal sensitivity.
• Toggle Lines: Show or hide the combined band and EMA for more flexibility.
This indicator is suitable for a variety of markets including stocks, forex, and crypto, and can be applied to any timeframe. Use it as part of your technical analysis to spot market trends and improve your decision-making process.
How to Use:
1. Apply the indicator to your chart and adjust the settings to suit your strategy.
2. Set up alerts for buy and sell signals to receive real-time notifications.
3. Monitor the price relative to the range and EMA to better time your trades.
This indicator is perfect for traders looking for an intuitive yet powerful tool to enhance their trading strategies with automatic signals and alerts.
Dema Supertrend | viResearchDema Supertrend | viResearch
Conceptual Foundation and Innovation
The "Dema Supertrend" indicator by viResearch combines the benefits of the Double Exponential Moving Average (DEMA) with the popular Supertrend method to provide an advanced tool for trend detection and volatility management. By integrating DEMA into the Supertrend calculation, the indicator reduces lag while enhancing responsiveness to market changes. This results in more accurate trend identification and a refined method for capturing directional movements.
Technical Composition and Calculation
The "Dema Supertrend" builds on the core principles of the Supertrend indicator by incorporating DEMA for smoother and more responsive trend detection. The key innovation lies in replacing the raw price data with the DEMA-smoothed values, allowing traders to identify trends with reduced noise and enhanced precision.
DEMA and ATR-Based Supertrend Calculation:
DEMA Calculation (demalen): The Double Exponential Moving Average is applied to the price data (hlc3 by default) over a user-defined length, providing a smoothed representation of the market trend. DEMA minimizes lag compared to simple or exponential moving averages, allowing for more timely trend identification.
Supertrend Bands (u, l): The Supertrend upper and lower bands are calculated by adding or subtracting a multiple of the Average True Range (ATR) from the DEMA value. These bands dynamically adjust to market volatility, acting as support and resistance levels to guide trading decisions.
Trend Logic (L, S): The script determines whether the price is above or below the bands to signal an uptrend (L) or downtrend (S). Crosses above or below these bands trigger visual alerts and trend changes, with alerts built in for potential long or short positions.
Trend Continuation and Reversal:
The indicator ensures that once a trend is identified, it persists until clear reversal criteria are met. This is achieved through a comparison of the current and previous values of the Supertrend bands, reducing the occurrence of false signals in volatile markets.
Features and User Inputs
The "Dema Supertrend" script offers a range of customizable options, allowing traders to tailor the indicator to different market conditions and trading strategies:
Supertrend Length: The length of the Supertrend period can be adjusted, allowing traders to control the sensitivity of the trend detection.
Multiplier: The ATR multiplier adjusts the distance between the DEMA and the Supertrend bands. A higher multiplier reduces the frequency of trend changes, while a lower multiplier increases sensitivity to price movements.
DEMA Length: The length of the DEMA calculation can be customized to smooth price data over different timeframes, helping traders capture long-term trends or short-term movements more effectively.
Practical Applications
The "Dema Supertrend" is an ideal tool for traders who seek to follow trends while minimizing the impact of market noise. Its combination of DEMA and Supertrend provides a clear, dynamic view of the market's direction, making it especially effective in volatile environments.
Key Uses:
- Trend Following: The Dema Supertrend helps traders align their positions with the prevailing market trend by providing clear signals for uptrends and downtrends based on DEMA-smoothened price action.
- Volatility Management: The integration of ATR ensures that the Supertrend bands adapt to changes in market volatility, allowing traders to avoid entering trades during choppy, unpredictable price movements.
- Signal Confirmation: The script includes visual and alert-based signals for trend continuation and reversal, enabling traders to confirm entries and exits with greater accuracy.
Advantages and Strategic Value
The "Dema Supertrend" offers several strategic advantages:
- Reduced Lag: By integrating DEMA into the Supertrend calculation, the indicator responds more quickly to price changes, reducing the lag inherent in traditional moving averages.
- Noise Reduction: The use of DEMA filters out short-term fluctuations, providing a clearer signal for traders looking to capture significant market trends.
- Dynamic Adjustments: The combination of ATR and DEMA allows the indicator to adapt to both trending and ranging markets, making it suitable for a variety of trading strategies.
Summary and Usage Tips
The "Dema Supertrend" is a powerful tool for trend-following traders, offering a precise and adaptive method for identifying and confirming market direction. Traders can experiment with different settings for the Supertrend and DEMA lengths, as well as the ATR multiplier, to optimize the indicator for various trading environments. For best results, use the "Dema Supertrend" in conjunction with other technical analysis tools to confirm trends and manage risk. Whether you're seeking to capture long-term market moves or react to short-term volatility, the "Dema Supertrend" provides a reliable and flexible solution for your trading strategy.
Lsma | viResearchLsma | viResearch
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Conceptual Foundation and Innovation
The "Lsma" (Least Squares Moving Average) indicator, developed by viResearch, offers a refined approach to trend detection by using linear regression to smooth price data. Unlike traditional moving averages, the Lsma reduces lag by fitting a linear regression line through the data points, providing a more responsive and accurate representation of price trends. This dynamic approach enables traders to capture market movements with greater precision, especially in fast-moving markets.
Technical Composition and Calculation
The "Lsma" indicator is based on the least squares method, a statistical analysis technique that minimizes the difference between observed and predicted values. By applying this method to price data, the Lsma indicator calculates a trend line that reduces the impact of random fluctuations.
Linear Regression Calculation:
Length (len_lsma): The Lsma is computed over a user-defined period, allowing traders to adjust the sensitivity of the indicator to market conditions. A longer period provides a smoother trend, while a shorter period makes the indicator more responsive to recent price changes.
Offset (off): The script includes an optional offset parameter, which shifts the trend line forward or backward, providing additional flexibility in visualizing market trends.
Source (src): The input source (default: close price) determines which price data the Lsma is applied to. This can be customized to suit various trading strategies.
Trend Identification:
Lsma Direction: The script compares the current Lsma value to its previous value to detect trend direction. If the Lsma is increasing and the price is above it, this signals an uptrend (L). Conversely, if the Lsma is decreasing and the price is below it, this signals a downtrend (S).
Entry Confirmation (en): The user can select an entry confirmation source to further validate potential trade signals. This ensures that traders are not solely reliant on the Lsma's trend direction but can also confirm signals with additional data points.
Features and User Inputs
The "Lsma" script offers several customizable options, making it adaptable to various trading styles and market conditions:
Lsma Length: Controls the period over which the Lsma is calculated. Traders can increase this value to smooth out short-term fluctuations or reduce it for faster trend detection.
Offset: Allows users to shift the Lsma plot, which can help in analyzing trends or refining entry and exit points.
Source and Entry Confirmation: The indicator can be applied to different data sources, and users can select a secondary confirmation source for more accurate signal generation.
Practical Applications
The "Lsma" indicator is a versatile tool, especially well-suited for traders seeking to capture trends with minimal lag. It is particularly effective in volatile markets where traditional moving averages may lag behind price action, leading to delayed signals.
Key Uses:
Trend Following: The Lsma provides a clear view of the market's direction, allowing traders to align their positions with the prevailing trend.
Signal Confirmation: The entry confirmation feature enhances the reliability of trend signals, reducing the likelihood of false entries in choppy markets.
Trade Timing: The customizable length and offset settings give traders flexibility in determining the optimal timing for entering and exiting trades.
Advantages and Strategic Value
The "Lsma" indicator offers several advantages over traditional moving averages:
Reduced Lag: By applying linear regression, the Lsma minimizes lag, providing more timely trend signals.
Customizability: The adjustable length, offset, and source inputs give traders the ability to fine-tune the indicator to their specific needs.
Trend Clarity: The indicator's design ensures that only significant trends are captured, filtering out short-term noise that can obscure the bigger picture.
Summary and Usage Tips
The "Lsma" indicator is an excellent tool for trend-following traders, offering a powerful blend of precision and adaptability. By using linear regression, it provides a more accurate and responsive measure of price trends, helping traders stay aligned with market direction. For best results, traders should experiment with different Lsma lengths and entry confirmation sources to tailor the indicator to their strategy. Whether used for identifying trend reversals or confirming trend strength, the "Lsma" indicator is a reliable and versatile solution for modern trading.
Tomorrow Floor Pivots with CPR By Nifty ZThe colors for resistance and support levels have been updated to gradient reds and greens for clearer distinction.
The CPR band uses light blue and purple to stand out more effectively.
Here's a detailed explanation of the user inputs and the typical use of **Floor Pivots for Tomorrow’s Market Range** in a trading context, focusing on support, resistance, and breakout scenarios:
The script allows traders to customize key parameters for their analysis:
1. Pivot Timeframe:
- Users can select different timeframes for calculating floor pivots, such as 1 hour, 4 hours, daily, weekly, monthly, etc.
- This is crucial because the timeframe selection influences the granularity of the support and resistance levels for the next trading day.
- For instance, selecting a **Daily** timeframe will calculate floor pivots for the next trading day, while selecting **Weekly** will give levels for the upcoming week.
2. Show Floor Pivots:
- Users can toggle the visibility of the calculated **Floor Pivots**, which include resistance levels (R1, R2, R3, R4) and support levels (S1, S2, S3, S4).
3. Show CPR (Central Pivot Range):
- CPR (Central Pivot Range) is a key area where the price tends to consolidate.
- The script allows users to enable or disable the visibility of CPR, which consists of the BC (Bottom Central Pivot) and TC (Top Central Pivot).
4. Show Labels:
- Users can choose whether or not to display labels indicating the **Pivot**, **Support**, and Resistance levels on the chart. This can be helpful for visual analysis when day trading.
Understanding Floor Pivots
The Floor Pivots (Pivot, Resistance, and Support levels) for tomorrow's market range are calculated based on today’s high, low, and close. These levels help traders anticipate how the market may behave in the upcoming session.
1. Pivot:
- The Pivot Point is a central level, calculated as the average of the high, low, and close. It’s considered a reference point that determines the market’s overall bias.
- If the price is trading **above the pivot**, it generally suggests a **bullish** sentiment for the day.
- If the price is trading **below the pivot**, it suggests a **bearish** sentiment.
2. Resistance Levels (R1, R2, R3, R4):
- R1 is often the first area where price may stall in an uptrend. It represents the first major resistance level.
- **R2**, **R3**, and **R4** mark additional levels of resistance, progressively further away from the current price. These are used to project potential upward targets.
- These resistance levels are areas where the price might encounter selling pressure, especially during day trading.
3. **Support Levels (S1, S2, S3, S4):**
- Similarly, **S1** is the first area where the price might find support in a downtrend.
- **S2**, **S3**, and **S4** provide deeper support levels where the price may bounce from.
- These support zones are used by day traders to anticipate where the price might reverse upward.
### **Role of Resistance and Support in Day Trading**
- **Resistance Levels (R1, R2, R3, R4)** indicate potential areas where price could **stall** during an uptrend. These levels are useful for **short-term traders** looking to set exit points or identify reversal zones.
- **Support Levels (S1, S2, S3, S4)** highlight areas where the price could **find support** and potentially **bounce** higher. These levels are particularly helpful for identifying buy zones in a downtrend.
- If a price **breaks out** above the resistance levels or **breaks down** below the support levels, it often signals a strong trend continuation.
### **Understanding the Central Pivot Range (CPR)**
The **CPR** is formed by two key levels:
- **BC (Bottom Central Pivot):** The midpoint of the day’s high and low.
- **TC (Top Central Pivot):** The difference between the pivot and BC.
The CPR acts as a region of **consolidation** or **indecision** where the market is likely to stay within a narrow range. The width of the CPR gives traders a sense of volatility:
- A **narrow CPR** often signals that a **breakout** is imminent.
- A **wider CPR** suggests that the market could remain range-bound.
### **Market Sentiment Based on Floor Pivots**
The relationship between **today’s** and **tomorrow’s pivots** is crucial in determining the market sentiment for the next day.
1. **Bullish Case (Higher Highs):**
- If **tomorrow's pivot** is higher than **today's pivot**, it indicates a **bullish sentiment**. This suggests that the market is likely to trend upward in the next session.
- In a **bullish overlapping pivot range**, if **Day 1 (today)** is higher than **Day 2 (tomorrow)**, traders expect continued upward momentum.
2. **Bearish Case (Lower Lows):**
- Conversely, if **tomorrow's pivot** is lower than **today's pivot**, it suggests a **bearish sentiment** and that the market could trend downward in the next session.
- In a **bearish overlapping pivot range**, if **Day 1 (today)** is lower than **Day 2 (tomorrow)**, traders expect continued downward pressure.
### **Breakout Scenarios**
A breakout occurs when the price **violates either the support or resistance levels** significantly, indicating that the price is moving in the direction of the breakout.
1. **Bullish Breakout:**
- If the price consistently stays **above the CPR** and **resistance levels (R1, R2)**, it indicates a strong **bullish breakout**.
- This is especially true when the **CPR is narrow** for both days, signaling a buildup in price action and a potential breakout to the upside.
2. **Bearish Breakout:**
- If the price breaks **below the CPR** and **support levels (S1, S2)**, it indicates a **bearish breakout**.
- A narrow CPR on **both days** suggests that a breakout to the downside could be imminent.
3. **Neutral or Ranging Days:**
- Sometimes, the CPR stays **unchanged** for 4-5 days, indicating a period of **consolidation** where the price is moving within a tight range. This often leads to a significant breakout once the consolidation ends.
Strategic Application of Floor Pivots for Tomorrow
Traders use floor pivots to plan their next-day trades by:
- **Aligning with Market Sentiment:** Based on whether tomorrow’s pivot is higher or lower than today’s, traders can align their trades in the direction of the market’s overall bias.
- **Identifying Entry and Exit Points:** Resistance and support levels provide well-defined areas to enter or exit trades, making pivots essential for day trading strategies.
- **Anticipating Breakouts:** Monitoring the width of the CPR and the relation between pivots helps traders anticipate potential breakouts, allowing them to react quickly to sudden price movements.
By effectively using these pivots and understanding their significance, traders can improve their decision-making for short-term trades in the stock or futures markets.
HMA Smoothed RSI [Pinescriptlabs]This indicator uses a modified version of the RSI (Relative Strength Index) weighted by volume. This means it not only takes into account the price but also the amount of volume supporting those price movements, making the indicator more sensitive to real market fluctuations.
Hull Moving Average (HMA) Applied to RSI: To smooth the volume-weighted RSI, a Hull Moving Average (HMA) is applied. The HMA is known for its ability to reduce market "noise" and quickly react to trend changes. This process helps better identify when an asset is overbought or oversold.
Overbought and Oversold Regions: The indicator sets clear overbought and oversold levels, which are adjustable. By default, the overbought level is set at 20 and the oversold level at -20, but you can customize these values. Additionally, there are extreme overbought and oversold levels to help identify more extreme market conditions where a price reversal is more likely.
Buy and Sell Signals:
Buy Signal: This is generated when the modified RSI crosses above the oversold level. This indicates that the price has dropped enough and may be about to rise.
Sell Signal: This occurs when the RSI crosses below the overbought level. This suggests that the price has risen too much and could be about to fall.
Dynamic Visualization and Colors: The indicator is displayed with different colors based on its behavior:
When the RSI is within normal levels, the color is neutral.
If it is above the overbought level, the color turns red (sell alert).
If it is below the oversold level, the color turns green (buy alert).
Alerts: This indicator also allows you to set up alerts. You will receive automatic notifications when buy or sell signals are generated, helping you make decisions without constantly monitoring the chart.
Español:
Este indicador utiliza una versión modificada del RSI (Índice de Fuerza Relativa), ponderado por volumen. Esto significa que no solo tiene en cuenta el precio, sino también la cantidad de volumen que respalda esos movimientos de precios, haciendo que el indicador sea más sensible a las fluctuaciones reales del mercado.
Media Móvil Hull (HMA) aplicada al RSI: Para suavizar el RSI ponderado por volumen, se le aplica una Media Móvil Hull (HMA). La HMA es conocida por su capacidad para reducir el "ruido" del mercado y reaccionar rápidamente a los cambios de tendencia. Este proceso ayuda a identificar mejor cuándo un activo está sobrecomprado o sobrevendido.
Regiones de sobrecompra y sobreventa: El indicador establece niveles claros de sobrecompra y sobreventa que son ajustables. Por defecto, el nivel de sobrecompra está en 20 y el de sobreventa en -20, pero puedes personalizar estos valores. Además, hay niveles extremos de sobrecompra y sobreventa que te ayudan a identificar condiciones más extremas del mercado, donde una reversión de precio es más probable.
Señales de compra y venta:
Señal de compra: Se genera cuando el RSI modificado cruza hacia arriba el nivel de sobreventa. Esto indica que el precio ha bajado lo suficiente y puede estar a punto de subir.
Señal de venta: Se produce cuando el RSI cruza hacia abajo el nivel de sobrecompra. Esto indica que el precio ha subido demasiado y podría estar a punto de bajar.
Visualización y colores dinámicos: El indicador se muestra con diferentes colores según su comportamiento:
Cuando el RSI está dentro de los niveles normales, el color es neutro.
Si está por encima del nivel de sobrecompra, el color se vuelve rojo (señal de alerta de venta).
Si está por debajo del nivel de sobreventa, el color se vuelve verde (señal de alerta de compra).
Alertas: Este indicador también te permite configurar alertas. Así, recibirás notificaciones automáticas cuando se generen señales de compra o venta, ayudándote a tomar decisiones sin estar constantemente monitoreando el gráfico.
Inverted SD Dema RSI | viResearchInverted SD Dema RSI | viResearch
The "Inverted SD Dema RSI" developed by viResearch introduces a new approach to trend analysis by combining the Double Exponential Moving Average (DEMA), Standard Deviation (SD), and Relative Strength Index (RSI). This unique indicator provides traders with a tool to capture market trends by integrating volatility-based thresholds. By using the smoothed DEMA along with standard deviation, the indicator offers improved responsiveness to price fluctuations, while RSI thresholds offer insight into overbought and oversold market conditions.
At the core of the "Inverted SD Dema RSI" is the combination of DEMA and standard deviation for a more nuanced view of market volatility. The use of RSI further aids in detecting price extremes and potential trend reversals.
DEMA Calculation (sublen): The Double Exponential Moving Average (DEMA) smoothes out price data over a user-defined period, reducing lag compared to traditional moving averages. This provides a clearer representation of the market's overall direction.
Standard Deviation Calculation (sublen_2): The standard deviation of the DEMA is used to define the upper (u) and lower (d) bands, highlighting areas where price volatility may signal a change in trend. These dynamic bands help traders gauge price volatility and potential breakouts or breakdowns.
RSI Calculation (len): The script applies the Relative Strength Index (RSI) to the smoothed DEMA values, allowing traders to detect momentum shifts based on a modified data set. This provides a more accurate reflection of market strength when combined with the DEMA.
Thresholds: The RSI is compared to user-defined thresholds (70 for overbought and 55 for oversold conditions). These thresholds help in identifying potential market reversals, especially when the price breaks outside of the calculated standard deviation bands.
Uptrend (L): An uptrend signal is generated when the RSI exceeds the upper threshold (70) and the price is not above the upper standard deviation band, indicating that there may be room for further price appreciation.
Downtrend (S): A downtrend signal occurs when the RSI falls below the lower threshold (55), indicating that the price may continue to decline.
The "Inverted SD Dema RSI" offers a wide range of customizable settings, allowing traders to adjust the indicator based on their trading style or market conditions.
DEMA Length (sublen): Controls the period used to smooth the price data, impacting the sensitivity of the DEMA to recent price movements.
Standard Deviation Length (sublen_2): Defines the length over which the standard deviation is calculated, helping traders control the width of the upper and lower bands.
RSI Length (len): Adjusts the period used for the RSI calculation, providing flexibility in determining overbought and oversold conditions.
RSI Thresholds: Traders can define their own levels for detecting trend reversals, with default values of 70 for an uptrend and 55 for a downtrend.
The "Inverted SD Dema RSI" is particularly well-suited for traders looking to capture trends while accounting for volatility and momentum. By using a smoothed DEMA as the foundation, it effectively filters out noise, making it ideal for detecting reliable trends in volatile markets.
Key Uses:
Trend Following: The indicator’s combination of DEMA, standard deviation, and RSI helps traders follow trends more effectively by reducing noise and identifying key momentum shifts.
Volatility Filtering: The use of standard deviation bands provides a dynamic measure of volatility, ensuring that traders are aware of potential breakouts or breakdowns in the market.
Momentum Detection: The inclusion of RSI ensures that the indicator is not only focused on trend direction but also on the strength of the underlying momentum, helping traders avoid entering trades during weak trends.
The "Inverted SD Dema RSI" provides several key advantages over traditional trend-following indicators:
Reduced Lag: The use of DEMA ensures faster trend detection, reducing the lag associated with simple moving averages.
Noise Reduction: The integration of standard deviation helps filter out irrelevant price movements, making it easier to identify significant trends.
Momentum Awareness: The addition of RSI provides valuable insight into the strength of trends, helping traders avoid false signals during periods of weak momentum.
The "Inverted SD Dema RSI" offers a powerful blend of trend-following and momentum detection, making it a versatile tool for modern traders. By integrating DEMA, standard deviation, and RSI, the indicator provides a comprehensive view of market trends and volatility. Traders are encouraged to experiment with different settings for the DEMA length, standard deviation, and RSI thresholds to fine-tune the indicator for their specific trading strategies. Whether used for trend confirmation, volatility assessment, or momentum analysis, the "Inverted SD Dema RSI" offers a valuable tool for traders seeking a comprehensive approach to market analysis.
Median Standard Deviation | viResearchMedian Standard Deviation | viResearch
The "Median Standard Deviation" indicator, developed by viResearch, introduces a unique combination of median smoothing and standard deviation to detect trends and volatility in market data. This tool provides traders with a stable and accurate measure of price trends by integrating median smoothing with a customized calculation of the standard deviation. This innovative approach allows for enhanced sensitivity to market fluctuations while filtering out short-term price noise.
Technical Composition and Calculation:
The "Median Standard Deviation" indicator incorporates median smoothing and dynamic standard deviation calculations to build upon traditional volatility measures.
Median Smoothing:
DEMA Calculation (len_dema): The script applies a Double Exponential Moving Average (DEMA) to smooth the price data over a user-defined period, reducing noise and helping traders focus on broader market trends.
Median Calculation (median_len): The smoothed DEMA data is further refined by calculating the 50th percentile (median) over a specified length, ensuring that the central tendency of price data is captured more accurately than with a simple moving average.
Volatility Measurement:
ATR Calculation (atr_len, atr_mul): The script incorporates the Average True Range (ATR) to measure market volatility. The user-defined ATR multiplier is applied to this value to calculate upper and lower trend bands around the median, providing a dynamic measure of potential price movement based on recent volatility.
Standard Deviation Analysis:
Standard Deviation Calculation (len_sd): The script calculates the standard deviation of the median over a user-defined length, providing another layer of volatility measurement. The upper and lower standard deviation bands (sdd, sdl) act as additional indicators of price extremes.
Trend Detection:
Trend Logic: The indicator uses the calculated bands to identify whether the price is moving within or outside the standard deviation and ATR bands. Crosses above or below these bands are used to signal potential uptrends or downtrends, offering traders a clear view of market direction.
Features and User Inputs:
The "Median Standard Deviation" script offers a variety of user inputs to customize the indicator to suit traders' styles and market conditions:
DEMA Length: Allows traders to adjust the sensitivity of the DEMA smoothing to control the amount of noise filtered from the price data.
Median Length: Users can define the length over which the median price is calculated, providing flexibility in capturing short-term or long-term trends.
ATR Length and Multiplier: These inputs let traders fine-tune the ATR calculation, affecting the size of the dynamic upper and lower bands.
Standard Deviation Length: Controls how the standard deviation is calculated, allowing for further customization in detecting price volatility.
Practical Applications:
The "Median Standard Deviation" indicator is particularly effective in volatile markets where price swings can lead to false signals using traditional methods. By combining median smoothing and standard deviation, this tool provides a more robust analysis of trends and price movements.
Key Uses:
Trend Following: The upper and lower bands provide clear signals for entering and exiting trades based on whether the price is moving outside the calculated ranges.
Volatility Detection: The integration of ATR and standard deviation bands allows traders to assess market volatility in real time, enabling more informed trading decisions.
Noise Reduction: The use of median smoothing ensures that short-term price fluctuations do not interfere with broader trend analysis, making this indicator ideal for traders looking to avoid whipsaws in volatile markets.
Advantages and Strategic Value:
The "Median Standard Deviation" indicator offers several key advantages:
Precision in Trend Detection: The combination of median smoothing and standard deviation allows traders to detect trends with greater accuracy, reducing the risk of false signals.
Customization: With several adjustable parameters, traders can fine-tune the indicator to suit different timeframes and trading strategies.
Volatility Sensitivity: By incorporating ATR and standard deviation, this indicator provides an adaptive measure of market volatility, ensuring that traders are always aware of potential price swings.
Summary and Usage Tips:
The "Median Standard Deviation" indicator is a powerful tool for traders looking to refine their analysis of market trends and volatility. Its combination of median smoothing and standard deviation provides a nuanced view of market movements, helping traders make better-informed decisions. It's recommended to experiment with the various input parameters to optimize the indicator for specific needs, whether used for trend detection, volatility analysis, or noise reduction. The "Median Standard Deviation" offers a reliable and adaptable solution for modern trading strategies.
Please keep in mind the following text: Backtests are based on past results and are not indicative of future performance.
Rainbow Histogram v1.01Sure! Here’s a compelling English version of the article for your TradingView post:
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### 🌈 **Introducing Rainbow Histogram: A Fusion of EMA and MA for Enhanced Trading Analysis**
**Hello Traders,**
I’m excited to introduce a fresh concept that combines technical analysis techniques into a new indicator called **Rainbow Histogram**. This innovative tool blends Exponential Moving Averages (EMA) and Moving Averages (MA) to provide you with a powerful and accurate tool for making trading decisions.
#### **🎨 What is Rainbow Histogram?**
The Rainbow Histogram is designed to help you identify market trends and signal precise entry and exit points by blending EMA and MA into a colorful "Rainbow" display. This visual approach enhances your ability to spot trend strength and direction with clarity.
#### **📈 How Does Rainbow Histogram Work?**
1. **Exponential Moving Average (EMA):** Captures short-term trends and reacts quickly to price changes.
2. **Moving Average (MA):** Tracks long-term trends and provides a broader view of the market direction.
**Rainbow Histogram** uses the combination of EMA and MA to create a histogram that shows the difference between these two averages in distinct colors. This makes it easy to visualize trend changes and market momentum.
#### **🔧 Setting It Up**
1. **EMA:** Adjust the EMA settings based on your trading timeframe and strategy (e.g., EMA 9, EMA 21).
2. **MA:** Set the MA parameters to capture long-term trends (e.g., MA 50, MA 200).
#### **🌟 Why Use Rainbow Histogram?**
- **Simplified Analysis:** Quickly identify trends and their strength with a clear visual representation.
- **Distinct Colors:** Differentiate between EMA and MA with vibrant colors for easy interpretation.
- **Precise Signals:** Get clear buy and sell signals based on histogram changes.
#### **📥 Get Started**
Add **Rainbow Histogram** to your TradingView charts by searching for the script in TradingView’s library or set it up manually using the recommended settings.
#### **📝 In Summary**
**Rainbow Histogram** is a unique tool that simplifies trend analysis and enhances accuracy by merging EMA and MA into a single, colorful indicator. Use this tool to refine your trading strategy and make more informed financial decisions.
If you have any questions or feedback about **Rainbow Histogram**, feel free to comment below or send me a message!
**Happy Trading!** 🌟
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I hope this version effectively captures attention and engages your audience!
Fractal Proximity MA Aligment Scalping StrategyFractal Analysis
Fractals in trading help identify potential reversal points by marking significant price changes. Our strategy calculates a "fractal value" by comparing the current price to recent high and low fractal points. This is done by evaluating the sum of distances from the current closing price to the recent highs and lows. A positive fractal value suggests proximity to recent lows, hinting at upward momentum. Conversely, a negative value indicates closeness to recent highs, signaling potential downward movement.
Moving Averages for Confirmation
We use a series of 20 moving averages ranging from 5 to 100 to confirm trend directions indicated by fractal analysis. An entry signal is considered bullish when shorter-term moving averages are all above a long-term moving average, aligning with a positive fractal value.
Exit Strategy
The strategy employs dynamic stop-loss levels set at various moving averages, allowing for partial exits when the price crosses below specific thresholds. This helps manage the trade by locking in profits gradually. A full exit might be triggered by strong reversal signals suggested by both fractal values and moving average trends.
This open-source strategy is available for the community to test, adapt, and utilize. Your feedback and modifications are welcome as we refine the approach based on collective user experiences.
Composite Momentum█ Introduction
The Composite Momentum Indicator is a tool we came across that we found to be useful at detecting implied tops and bottoms within quick market cycles. Its approach to analyzing momentum through a combination of moving averages and summation techniques makes it a useful addition to the range of available indicators on TradingView.
█ How It Works
This indicator operates by calculating the difference between two moving averages—one fast and one slow, which can be customized by the user. The difference between these two averages is then expressed as a percentage of the fast moving average, forming the core momentum value which is then smoothed with an Exponential Moving Average is applied. The smoothed momentum is then compared across periods to identify directional changes in direction
Furthermore, the script calculates the absolute differences between consecutive momentum values. These differences are used to determine periods of momentum acceleration or deceleration, aiming to establish potential reversals.
In addition to tracking momentum changes, the indicator sums positive and negative momentum changes separately over a user-defined period. This summation is intended to provide a clearer picture of the prevailing market bias—whether it’s leaning towards strength or weakness.
Finally, the summed-up values are normalized to a percentage scale. This normalization helps in identifying potential tops and bottoms by comparing the relative strength of the momentum within a given cycle.
█ Usage
This indicator is primarily useful for traders who focus on detecting quick cycle tops and bottoms. It provides a view of momentum shifts that can signal these extremes, though it’s important to use it in conjunction with other tools and market analysis techniques. Given its ability to highlight potential reversals, it may be of interest to those who seek to understand short-term market dynamics.
█ Disclaimer
This script was discovered without any information about its author or original intent but was nonetheless ported from its original format that is available publicly. It’s provided here for educational purposes and should not be considered a guaranteed method for market analysis. Users are encouraged to test and understand the indicator thoroughly before applying it in real trading scenarios.
Median Supertrend | viResearchMedian Supertrend | viResearch
Conceptual Foundation and Innovation
The "Median Supertrend" indicator, developed by viResearch, offers a unique approach to identifying trends by combining a median-based smoothing mechanism with a modified Supertrend calculation. Unlike the traditional Supertrend, which relies solely on price data, this version calculates a median percentile of the closing price over a specified length, resulting in a more accurate representation of underlying trends.
Technical Composition and Calculation
The "Median Supertrend" enhances the conventional Supertrend formula by introducing improvements to minimize lag and improve responsiveness to market volatility.
Median Smoothing:
The script uses the 50th percentile of the closing price over a user-defined period to provide a smoother representation of price movements, reducing the influence of short-term price spikes or dips for more stable trend analysis.
Supertrend Calculation:
The indicator applies the Average True Range (ATR) to determine the upper and lower trend bands, which are then shifted above or below the smoothed price (median) by a multiple of the ATR, customizable by users to adjust sensitivity.
Trend Logic:
The script uses the upper and lower bands to detect whether the price is trending upwards or downwards and introduces persistence logic to prevent excessive shifting of the bands during consolidating market phases. This mechanism ensures that once the trend changes, the bands adjust smoothly rather than oscillating with each price movement.
Directional Analysis:
Based on price action relative to the trend bands, a directional variable (d) is computed to track whether the price crosses above or below these bands, signaling uptrends or downtrends. The script also includes events to detect transitions from bullish to bearish trends and vice versa, with the option to set alerts for timely decision-making.
Features and User Inputs
The "Median Supertrend" offers several customizable parameters to suit different trading styles:
Supertrend Length: Defines the period used to calculate the smoothing, allowing users to adjust the indicator's sensitivity based on market conditions.
Multiplier: Controls how far the trend bands are placed from the median price. Traders can increase the multiplier for less frequent trend changes or decrease it for more sensitive detection.
Median Length: Governs the length over which the median price is calculated, providing further customization to balance responsiveness and stability.
Practical Applications
The "Median Supertrend" is particularly useful in markets with rapid trend reversals and high volatility, offering an effective way to filter out noise and capture significant trend changes promptly.
Key Uses:
Trend Following: The indicator's primary function is to identify prevailing trends and guide traders in aligning with the market's direction, with its smoothing mechanism helping to ensure reliable trend signals.
Trend Reversal Detection: By tracking crossovers and crossunders relative to the Supertrend bands, the indicator helps traders detect potential reversals early, making it valuable in fast-moving markets.
Strategic Positioning: With adjustable sensitivity and real-time alerts, the "Median Supertrend" can adapt to a variety of trading strategies, from scalping to longer-term trend-following.
Advantages and Strategic Value
The "Median Supertrend" offers advantages over traditional trend indicators:
Reduced Noise: Median smoothing reduces noise from extreme price movements, ensuring more reliable trend signals.
Customizability: With adjustable length and multiplier settings, the indicator allows traders to fine-tune its sensitivity for different market conditions.
Responsiveness: Median-based smoothing, coupled with the ATR, provides a more responsive and adaptive measure of trend direction, particularly valuable in volatile markets.
Summary and Usage Tips
The "Median Supertrend" indicator is a potent tool for capturing market trends with increased precision and reduced lag. It combines the best features of traditional Supertrend indicators with the added stability of median-based smoothing, making it highly effective in volatile markets. Traders are encouraged to experiment with the length and multiplier settings to optimize the indicator for their specific trading strategies, while alerts and visual cues further enhance its utility.
Please keep in mind the following text: Backtests are based on past results and are not indicative of future performance.
VWAP and MA Crossover SignalsDescription: The VWAP and 20 MA Crossover Indicator is a powerful trading tool designed to capitalize on trend reversals and momentum shifts. This indicator overlays two key technical analysis tools on the price chart: the Volume Weighted Average Price (VWAP) and the 20-period Moving Average (MA).
Functionality:
VWAP: Represents the average price a security has traded at throughout the day, based on volume and price. It is a measure of the market's trend and trading volume.
20 MA: Offers a smoothed average of the closing prices over the last 20 periods, providing a glimpse of the underlying trend.
Signals:
Buy Signal: Generated when the VWAP crosses above the 20-period MA, suggesting an upward momentum and a potential bullish trend reversal.
Sell Signal: This occurs when the VWAP crosses below the 20-period MA, indicating a downward momentum and a potential bearish trend reversal.
Usage: This indicator is ideal for traders focusing on intraday and swing trading strategies, providing clear visual cues for entry and exit points based on the interaction between VWAP and the 20 MA. By identifying key crossover points, traders can make informed decisions about potential bullish or bearish movements in the market.
Application: To use this indicator, simply add it to your TradingView chart setup. The buy and sell signals will be displayed directly on the chart, allowing for easy interpretation and quick action. Adjust the settings to fit your specific trading strategy or market conditions.
Combo 2/20 EMA & CCI
This is another part of my research work, where I test a combination of two strategies, receiving a combined signal. In order to understand which indicator combinations work better, which work worse, as filters for trades. This is combo strategies for get a cumulative signal.
First strategy
This indicator plots 2/20 exponential moving average. For the Mov Avg X 2/20 Indicator, the EMA bar will be painted when the Alert criteria is met.
Second strategy
The Commodity Channel Index (CCI) is best used with markets that display cyclical or seasonal characteristics, and is formulated to detect the beginning and ending of the cycles by incorporating a moving average together with a divisor that reflects both possible and actual trading ranges. The final index measures the deviation from normal, which indicates major changes in market trend.
Strategy tester settings:
Initial capital: 1000
Order size: 0.5
Commission: 0.1%
Other as default.
Indicator settings:
EMA Length: 50
CCI Length: 10
Fast MA Length: 15
Slow MA Length: 20
Other as default.
WARNING:
- For purpose educate only
- This script to change bars colors.
RSI based MAGot it! Here’s some information in English specifically about the **RSI-based Moving Average (RSI-based MA)** that we wrote the Pine Script code for:
### RSI-Based Moving Average (RSI-based MA)
An **RSI-based Moving Average (RSI-based MA)** is a technical analysis tool that combines the Relative Strength Index (RSI) with moving averages to provide more insight into market trends and potential reversals. This indicator can be particularly useful for identifying the beginning and end of trends, allowing traders to make more informed decisions.
### How RSI-based MA Works
The RSI-based MA indicator calculates the moving average of the RSI values rather than the asset's price itself. In the script you asked for, we implemented two RSI-based moving averages: one for a 1-minute timeframe and another for a 5-minute timeframe. This dual timeframe approach can help traders spot trends more accurately and identify shifts in momentum across different time periods.
#### Key Features of RSI-based MA:
1. **Dual Timeframe Analysis**:
- The script plots two RSI-based moving averages on the same chart:
- **1-minute RSI-based MA**: A moving average calculated based on RSI values over a 1-minute interval.
- **5-minute RSI-based MA**: A moving average calculated based on RSI values over a 5-minute interval.
- Using different timeframes helps traders see both short-term and longer-term trends simultaneously.
2. **RSI Levels**:
- The RSI-based MA plots values between 0 and 100, similar to the RSI itself. Traders can use typical RSI levels, such as 70 (overbought) and 30 (oversold), to identify potential entry and exit points.
- **Overbought condition**: When the RSI-based MA moves above 70, it indicates the asset might be overbought, suggesting a potential for price to drop.
- **Oversold condition**: When the RSI-based MA drops below 30, it signals that the asset might be oversold, indicating a potential price increase.
3. **Crossovers**:
- **Bullish signal**: If the shorter 1-minute RSI-based MA crosses above the longer 5-minute RSI-based MA, this could indicate a new upward trend beginning.
- **Bearish signal**: Conversely, if the 1-minute RSI-based MA crosses below the 5-minute RSI-based MA, it could suggest the beginning of a downward trend.
### Potential Advantages
- **Smoother Trend Identification**: By applying moving averages to RSI, you can smooth out the short-term fluctuations in RSI values, making it easier to identify the underlying trend.
- **Versatility**: The indicator can be customized for different timeframes and settings, allowing it to be tailored to various trading strategies and asset classes.
- **Enhanced Signals**: Combining RSI and moving averages helps filter out noise, providing more reliable signals for potential trend changes or continuations.
### Potential Limitations
- **Lagging Indicator**: Like most moving averages, RSI-based MAs are lagging indicators. They tend to react after price movements have already begun, which could result in delayed signals.
- **False Signals**: In ranging or highly volatile markets, RSI-based MA may give false signals, indicating a trend reversal or continuation that does not occur.
- **Should Not Be Used Alone**: It's often recommended to use RSI-based MA alongside other technical indicators (like MACD, Bollinger Bands, or moving average crossovers) to confirm signals and reduce the risk of false readings.
### Conclusion
The RSI-based MA can be a powerful tool for traders looking to enhance their understanding of market trends and momentum. By combining RSI with moving averages, traders can smooth out RSI readings and gain a clearer view of the market’s direction. However, as with any indicator, it should be used in conjunction with other tools and strategies to maximize its effectiveness and reduce risk.
True Strength Index with Buy/Sell Signals and AlertsThe True Strength Index (TSI) is a momentum oscillator that helps traders identify trends and potential reversal points in the market. Here’s how it works:
1. **Price Change Calculation**:
- **`pc = ta.change(price)`**: This calculates the change in price (current price minus the previous price).
2. **Double Smoothing**:
- **`double_smooth(src, long, short)`**: This function smooths the price change data twice using two Exponential Moving Averages (EMAs):
- The first EMA smooths the raw data.
- The second EMA smooths the result of the first EMA.
- **`double_smoothed_pc`**: The double-smoothed price change.
- **`double_smoothed_abs_pc`**: The double-smoothed absolute price change, which helps normalize the TSI value.
3. **TSI Calculation**:
- **`tsi_value = 100 * (double_smoothed_pc / double_smoothed_abs_pc)`**: This calculates the TSI by dividing the double-smoothed price change by the double-smoothed absolute price change, then multiplying by 100 to scale the value.
- The TSI oscillates around the zero line, indicating momentum. Positive values suggest bullish momentum, while negative values suggest bearish momentum.
4. **Signal Line**:
- **`signal_line = ta.ema(tsi_value, signal)`**: This creates a signal line by applying another EMA to the TSI value. The signal line is typically used to identify entry and exit points.
5. **Buy and Sell Signals**:
- **Buy Signal**: Occurs when the TSI crosses above the signal line (`ta.crossover(tsi_value, signal_line)`), indicating that bullish momentum is strengthening, which might suggest a buying opportunity.
- **Sell Signal**: Occurs when the TSI crosses below the signal line (`ta.crossunder(tsi_value, signal_line)`), indicating that bearish momentum is strengthening, which might suggest a selling opportunity.
6. **Visual Representation**:
- The TSI line and the signal line are plotted on the chart.
- Buy signals are marked with green "BUY" labels below the bars, and sell signals are marked with red "SELL" labels above the bars.
**How to Use It**:
- **Trend Identification**: When the TSI is above zero, it suggests an uptrend; when it's below zero, it suggests a downtrend.
- **Buy/Sell Signals**: Traders often enter a buy trade when the TSI crosses above the signal line and enter a sell trade when the TSI crosses below the signal line.
- **Divergences**: TSI can also be used to spot divergences between the indicator and price action, which can signal potential reversals.
The TSI is particularly useful in identifying the strength of a trend and the potential turning points, making it valuable for trend-following and swing trading strategies.
RSI For Loop | viResearchRSI For Loop | viResearch
Understanding the fundamental concepts of an indicator before adding it to a system is absolutely crucial. This knowledge will allow you to incorporate it in a logical and effective manner.
Conceptual Foundation and Innovation
The "RSI for Loop" script is a novel approach to enhancing the traditional Relative Strength Index (RSI) by incorporating a loop-based scoring mechanism. This method dynamically evaluates the RSI values within a user-defined range, offering a more nuanced interpretation of market momentum. By systematically scoring the RSI's behavior across multiple thresholds, this indicator provides a robust tool for identifying potential trend reversals and confirmations with increased accuracy and responsiveness.
Technical Composition and Calculation
At the core of the "RSI for Loop" script is a custom scoring system that iterates through a defined range of RSI values. The script calculates the standard RSI based on the chosen source and length parameters. It then applies a loop that evaluates whether the RSI exceeds or falls below each level within the specified range, scoring the results accordingly.
Scoring Mechanism:
Loop Execution: The loop iterates from the "From" to the "To" levels, incrementing by one for each iteration.
Score Calculation: For each level, the script adds or subtracts from the total score based on whether the RSI is above or below the threshold.
Trend Detection: The final score is compared against user-defined threshold levels to identify potential uptrends and downtrends, triggering visual cues and alerts.
Thresholds and Alerts:
Threshold_L and Threshold_S: These user-defined levels determine the sensitivity of the trend detection. The script generates alerts when the score crosses above or below these thresholds, indicating potential long or short opportunities.
EMA Smoothing: The script also offers an EMA smoothing of the final score to provide a clearer trend visualization, reducing noise while retaining sensitivity to market changes.
Features and User Inputs
The "RSI for Loop" script is highly customizable, allowing traders to tailor its behavior to different market conditions and trading strategies:
RSI Length: The standard RSI calculation period can be adjusted to control the responsiveness of the RSI to price movements.
Scoring Range (From and To): Users can define the range of RSI levels that the loop evaluates, offering flexibility in how the market's momentum is assessed.
Thresholds: Customizable threshold levels for detecting uptrends and downtrends allow traders to fine-tune the indicator's sensitivity.
EMA Length: The length of the EMA used for smoothing the score can be adjusted, providing additional control over the trend visualization.
Practical Applications
The "RSI for Loop" script is designed for traders seeking a more sophisticated analysis of market momentum and trend strength. By integrating a loop-based scoring mechanism with traditional RSI calculations, this indicator is particularly effective in:
Identifying Trend Reversals: The loop-based scoring offers an early indication of potential trend reversals, giving traders an edge in volatile markets.
Confirming Trend Strength: The combination of RSI scoring and EMA smoothing helps confirm the strength and direction of trends, improving the timing of entries and exits.
Strategic Market Positioning: The customizable parameters enable traders to adapt the script to various market conditions, enhancing their ability to position themselves effectively.
Advantages and Strategic Value
The "RSI for Loop" script offers a significant advantage by providing a more detailed and dynamic analysis of RSI behavior. The loop-based scoring system reduces the risk of false signals by incorporating multiple RSI levels into the trend assessment. This makes it a valuable tool for traders looking to refine their trend-following strategies with greater precision and adaptability.
Summary and Usage Tips
The "RSI for Loop" script is a powerful enhancement of the traditional RSI, offering traders a more responsive and detailed tool for trend analysis. Incorporating this script into your trading system can help you identify and confirm trends with greater accuracy, improving your ability to make informed trading decisions. Whether you're focused on detecting trend reversals or confirming trend strength, the "RSI for Loop" provides a versatile and reliable solution for traders at all levels.
Please keep in mind the following text: Backtests are based on past results and are not indicative of future performance.
[MACC] Moving Average Candle ColorThe simplest trading framework is using moving average. This indicator is harnessing that very method.
What It Does:
This indicator helps you see market trends at a glance by changing the color of the candlesticks based on the relationship between two Exponential Moving Averages (EMAs). When the 9-period EMA is above the 21-period EMA, candlesticks turn green, suggesting a bullish trend. When the 9 EMA is below the 21 EMA, candlesticks turn red, indicating a bearish trend.
Why You'll Love It:
Easy Trend Visualization: Quickly spot trends and potential reversals with color-coded candlesticks.
Customizable Settings: Adjust the lengths of the EMAs to fit your trading style. Just change the values in the settings panel and watch the indicator update in real-time.
Optional EMA Lines: See the EMA lines plotted on your chart for added context and trend confirmation.
How to Use It:
Green Candlesticks: It’s a sign that the trend is likely upward.
Red Candlesticks: signaling a potential downward trend.
Customization:
EMA Lengths: You can set the lengths for the 9 EMA and 21 EMA to whatever fits your trading strategy best.
Colors: Adjust the colors if you want to match your chart’s theme.
Get Started: Add this indicator to your TradingView chart and tweak the settings to see how it helps you track market trends more effectively.
Cherio...
Dynamic Trailing Stop with Trend ChangeKey features of this script:
Trend Identification: Uses previous day's high/low breaks to identify trend changes.
Uptrend starts when price closes above the previous day's high.
Downtrend starts when price closes below the previous day's low.
Dynamic Trailing Stop:
In an uptrend, the stop is set to the previous day's low and trails higher.
In a downtrend, the stop is set to the previous day's high and trails lower.
Visual Indicators:
Green triangle for uptrend start, red triangle for downtrend start.
Green/red line for the trailing stop.
Background color changes to light green in uptrends, light red in downtrends.
Alerts:
Trend change alerts when a new trend is identified.
Stop hit alerts when price crosses the trailing stop, suggesting a potential exit.
This implementation allows you to:
Identify trend changes based on previous day's high/low breaks.
Trail your stop loss dynamically as the trend progresses.
Get visual and alert-based signals for trend changes and potential exit points.
For swing trading, you could:
Enter long when an uptrend starts (green triangle).
Set your initial stop loss to the trailing stop (green line).
Exit if the price closes below the trailing stop or a downtrend starts (red triangle).
(Reverse for short trades)
Remember, while this strategy can be effective, it's important to combine it with other forms of analysis and proper risk management. The effectiveness can vary depending on the volatility of the asset and overall market conditions. Always test thoroughly before using in live trading.
Sniper Signal- Description
The Sniper Signal is a sophisticated technical indicator designed for traders seeking to maximize accuracy in identifying key turning points within a market. This indicator is built on a dual approach, combining the power of the Wave Trend Momentum Oscillator (WTMO) with the robustness of a long-term Simple Moving Average (SMA), making it an ideal tool for trading in dynamic and trending market environments.
The WTMO is known for its ability to capture momentum and underlying price direction, providing early signals of trend changes. By smoothing price movements using an exponential moving average (EMA), the WTMO accurately identifies when price is overextending in one direction, which may precede a reversal.
The 100-period SMA acts as a critical trend filter, ensuring that trades are only made in the direction of the prevailing market flow. This approach ensures that signals generated by the WTMO align with the long-term trend, filtering out false signals that can appear in sideways or low volatility markets.
The Sniper Signal is not just an indicator that marks entries and exits; it is a complete strategy in itself, designed for traders who understand the importance of trading in the direction of the prevailing trend. Buy signals are generated only when momentum is at its lowest point (WT1 < -5) and the price is supported by a confirmed uptrend (price above the SMA). Conversely, sell signals are only triggered when momentum is at extremely high levels (WT1 > 5) and the market shows clear signs of weakness (price below the SMA).
This combination of momentum and trend analysis creates a balanced approach that allows traders to capture significant moves in the market, while minimizing exposure to unnecessary risk. The Sniper Signal is particularly effective in markets with well-defined trends, where the key to success lies in entering the market at optimal points and exiting before a significant reversal occurs.
In summary, the Sniper Signal is an advanced tool designed for serious traders looking to take advantage of the combination of momentum and trend to execute high probability trades in moving markets.
- How to use the script?
The Sniper Signal indicator code is written in Pine Script, the native programming language of TradingView. To use this indicator, users must copy the code and paste it into the Pine Script editor within the TradingView platform. Once they have done this, they can save and add the script to their chart to begin displaying buy and sell signals directly on their price charts.
When using the Sniper Signal, traders should pay attention to the signals represented by the triangles on the chart: an upward-facing blue triangle indicates a possible buying opportunity, while a downward-facing red triangle suggests a possible selling opportunity. It is crucial that users also watch the 100-period Simple Moving Average (SMA), shown as a gray line on the chart, to ensure that trades align with the overall market trend. This helps filter out less reliable signals and improves the accuracy of trading decisions.
- Open-source reuse
The indicator code is based on common and widely used concepts in technical analysis, such as the Wave Trend Momentum Oscillator (WTMO) and the Simple Moving Average (SMA). These components are not proprietary and are part of the general knowledge in the trading community, which means that many developers can create their own versions based on these same principles.
Liquidity weighted SupertrendOverview
The Liquidity Weighted Supertrend Indicator (LWST) is an advanced iteration of the traditional Supertrend indicator, meticulously crafted to improve trend detection by incorporating liquidity into its calculations. By weighting price movements according to trading volume, the LWST becomes more responsive to significant market activities, offering traders a more accurate depiction of market trends.
Indicator Description
The Liquidity Weighted Supertrend Indicator is a versatile and adaptive tool designed to assist traders in recognizing trends and potential reversal points within the market. This indicator features two operational modes: Aggressive and Smoothed, allowing traders to tailor trend detection to their specific trading style and market conditions.
Key Features
Two Supertrend Modes:
Aggressive Mode: This mode offers more responsive signals, ideal for short-term trading. It utilizes an Exponential Moving Average (EMA) to smooth the price data, resulting in quicker reactions to market changes.
Smoothed Mode: This mode provides more stable signals, suitable for longer-term trading, by employing a Simple Moving Average (SMA). Note that when "Smoothed" mode is selected, the "Fast MA length" input is not utilized, focusing instead on producing smoother trend lines.
LWMA Calculation:
The Liquidity Weighted Moving Average (LWMA) is a distinctive feature of the LWST, blending volume and price action to filter out market noise and pinpoint significant price movements. This calculation begins with the liquidity factor, determined by multiplying volume with the price change, which is then smoothed using an EMA for accuracy.
Customizable Parameters:
Factor: Adjusts the Supertrend line's sensitivity to price movements.
Supertrend Length: Defines the lookback period for the Average True Range (ATR) calculation, which affects the width of the Supertrend channel.
Fast and Slow MA Lengths: Allows customization of the fast and slow moving averages used in the LWMA calculation, offering further control over the indicator's responsiveness.
How the Indicator Works
LWMA Smoothing:
The LWST calculates liquidity by multiplying volume with the absolute difference between the close and open prices. This liquidity value is smoothed using an EMA and compared to its standard deviation, identifying significant price movements. Depending on the selected mode, the price data (hl2) is smoothed either with an EMA (in Aggressive Mode) or an SMA (in Smoothed Mode). It’s important to note that when Smoothed mode is active, the "Fast MA length" input does not affect the output.
Visual Signals:
The Supertrend line is visually represented on the chart, with different colors indicating bullish (lime) and bearish (red) trends.
Buy and sell signals are clearly marked with arrows: green triangles indicate potential buying opportunities (when the price crosses above the Supertrend line), and red triangles suggest selling opportunities (when the price crosses below the Supertrend line).
Additional arrows may appear, signaling potential trend reversals, providing further confirmation for traders.
How to Use the Indicator
Configuring the Indicator:
Supertrend Type: Choose between Aggressive and Smoothed modes depending on your trading strategy and the current market conditions. Aggressive mode is better suited for shorter timeframes, while Smoothed mode provides more consistent signals for longer-term analysis.
Factor and Length Settings: Customize the Factor, Supertrend Length, and Moving Average lengths to fine-tune the sensitivity and responsiveness of the Supertrend line, adapting the indicator to various market environments.
Interpreting the Signals:
Trend Identification: The Supertrend line offers a clear visualization of the current market trend. A green line indicates a bullish trend, suggesting upward price movement, while a red line indicates a bearish trend, signaling potential downward price movement.
Entry and Exit Points: The arrows plotted by the LWST provide straightforward entry and exit signals. Green arrows signal potential buy opportunities, indicating that the price may continue to rise, while red arrows signal potential sell opportunities, suggesting that the price may decline. These visual cues help traders make informed decisions based on the current market trend.
Break of High/Low with Volume, MACD, and MAsHow It Works:
Sessions:
The London session is defined between 8:00 and 16:00 UTC.
The New York session is defined between 13:00 and 21:00 UTC.
Previous High/Low:
The script identifies the highest high and lowest low from the previous bar using ta.highest(high, 1) and ta.lowest(low, 1) .
Candle Body Size:
The script calculates the size of the current candle's body and checks if it is at least double the size of the previous candle's body.
Volume Check:
A high volume threshold is set as 1.5 times the 50-period SMA of the volume.
MACD Crossover:
The script calculates the MACD and its signal line and checks for bullish (buy) or bearish (sell) crossovers.
Signals:
A long signal (buy) is generated if the price breaks the previous high with a large body candle, high volume, and a bullish MACD crossover during the specified sessions.
A short signal (sell) is generated if the price breaks the previous low with a large body candle, high volume, and a bearish MACD crossover during the specified sessions.
Plotting:
The 50-period and 200-period moving averages, previous high, and previous low are plotted on the chart.
If a long condition is met, a "BUY" label is displayed below the bar. If a short condition is met, a "SELL" label is displayed above the bar.
Alerts:
Alerts are triggered whenever the conditions for a long or short trade are met.
Customization:
Feel free to adjust the session times, volume threshold, MACD settings, or moving averages based on your trading strategy or the specific asset you are trading.
