Currency Futures StatisticsThe "Currency Futures Statistics" indicator provides comprehensive insights into the performance and characteristics of various currency futures. This indicator is crucial for portfolio management as it combines multiple metrics that are instrumental in evaluating currency futures' risk and return profiles.
Metrics Included:
Historical Volatility:
Definition: Historical volatility measures the standard deviation of returns over a specified period, scaled to an annual basis.
Importance: High volatility indicates greater price fluctuations, which translates to higher risk. Investors and portfolio managers use volatility to gauge the stability of a currency future and to make informed decisions about risk management and position sizing (Hull, J. C. (2017). Options, Futures, and Other Derivatives).
Open Interest:
Definition: Open interest represents the total number of outstanding futures contracts that are held by market participants.
Importance: High open interest often signifies liquidity in the market, meaning that entering and exiting positions is less likely to impact the price significantly. It also reflects market sentiment and the degree of participation in the futures market (Black, F., & Scholes, M. (1973). The Pricing of Options and Corporate Liabilities).
Year-over-Year (YoY) Performance:
Definition: YoY performance calculates the percentage change in the futures contract's price compared to the same week from the previous year.
Importance: This metric provides insight into the long-term trend and relative performance of a currency future. Positive YoY performance suggests strengthening trends, while negative values indicate weakening trends (Fama, E. F. (1991). Efficient Capital Markets: II).
200-Day Simple Moving Average (SMA) Position:
Definition: This metric indicates whether the current price of the currency future is above or below its 200-day simple moving average.
Importance: The 200-day SMA is a widely used trend indicator. If the price is above the SMA, it suggests a bullish trend, while being below indicates a bearish trend. This information is vital for trend-following strategies and can help in making buy or sell decisions (Bollinger, J. (2001). Bollinger on Bollinger Bands).
Why These Metrics are Important for Portfolio Management:
Risk Assessment: Historical volatility and open interest provide essential information for assessing the risk associated with currency futures. Understanding the volatility helps in estimating potential price swings, which is crucial for managing risk and setting appropriate stop-loss levels.
Liquidity and Market Participation: Open interest is a critical indicator of market liquidity. Higher open interest usually means tighter bid-ask spreads and better liquidity, which facilitates smoother trading and better execution of trades.
Trend Analysis: YoY performance and the SMA position help in analyzing long-term trends. This analysis is crucial for making strategic investment decisions and adjusting the portfolio based on changing market conditions.
Informed Decision-Making: Combining these metrics allows for a holistic view of the currency futures market. This comprehensive view helps in making informed decisions, balancing risks and returns, and optimizing the portfolio to align with investment goals.
In summary, the "Currency Futures Statistics" indicator equips investors and portfolio managers with valuable data points that are essential for effective risk management, liquidity assessment, trend analysis, and overall portfolio optimization.
Indikator dan strategi
Sygnały Long/Short z SL i TPChoosing the Best Timeframe for Your Trading Strategy
The ideal timeframe for your trading strategy depends on several factors, including your trading style, risk preferences, and the goals of your strategy. Here’s a guide to different timeframes and their applications:
Timeframes and Their Uses:
Short-Term Timeframes (e.g., 5-minute, 15-minute):
Advantages: Provide more frequent signals and allow for quick responses to market changes. Ideal for day traders who prefer short, rapid trades.
Disadvantages: Can generate more false signals and be more susceptible to market noise. Requires more frequent attention and monitoring.
Medium-Term Timeframes (e.g., 1-hour, 4-hour):
Advantages: Offer fewer false signals compared to shorter timeframes. Suitable for swing traders looking to capture short-term trends.
Disadvantages: Fewer signals compared to shorter timeframes. Requires less frequent monitoring.
Long-Term Timeframes (e.g., daily, weekly):
Advantages: Provide more stable signals and are less affected by market noise. Ideal for long-term investors and those trading based on trends.
Disadvantages: Fewer signals, which may be less frequent but more reliable. Requires longer confirmation times.
Recommendation for Your Strategy:
For a strategy based on moving averages (MA) and generating long/short signals, the 5-minute and 15-minute timeframes might be suitable if:
You are a day trader and want to generate multiple signals per day.
You prefer quick responses to price changes and want to execute trades within a shorter timeframe.
For more stable signals and fewer false signals:
1-hour or 4-hour timeframes might be more appropriate.
Testing and Optimization:
Test Different Timeframes: See how your strategy performs on various timeframes to find the one that works best for you.
Adjust Parameters: Modify the lengths of the short and long SMAs, as well as the SL and TP levels, to fit the chosen timeframe.
How to Test:
Add the script to your chart on different timeframes on TradingView.
Observe the effectiveness and accuracy of the signals.
Adjust settings based on results and personal preferences.
Summary:
There isn’t a single “best” timeframe as it depends on your trading style and objectives. Start by testing on shorter timeframes if you are interested in day trading, and then explore how the strategy performs on longer timeframes for more stable signals.
Custom Date CVDThis indicator allows setting a custom date for the beginning of cumulative volume delta calculations.
Why is it important? CVD shows aggressiveness of buyers and sellers. And in order for a bull run to sustain you need aggressive buyers hitting the ask. If the price goes up, but CVD goes down - unlikely this bull trend will last long.
You might want to choose a recent top or bottom as the start point and check whether the aggressiveness of market participants corresponds to the price movement since that peak. For example on the chart above we can see that the price was going up and down, but the aggressiveness clearly points down. Does it mean that we will have a long bear market? No. It means that until the aggressiveness starts pointing up we should not expect a bull market. It might happen tomorrow, or might happen in a month. Nobody knows. But until it starts happening - don't expect the real bull.
Additionally, candles where the aggressiveness went the opposite direction from the price are marked with a blue dot above them.
Note: the smaller the custom time frame of the indicator - the more correct the results are. However, the drawback is that shorter the lookback period will be. The actual length will depend on your subscription level and the number of subcandles of the selected instrument.
[DarkTrader] Pivot Point HeatmapThe indicator calculates pivot points using price data from different timeframes such as 12M, 1M, 1W, 3D, and 1D. For each timeframe, it retrieves the high, low, open, and close prices of the previous bar. The pivot point is calculated as the average of the high, low, and close prices, which provides a central level where market sentiment may shift. This calculation is repeated for each timeframe, ensuring a multi-dimensional view of potential interest zones.
Importance of Pivot Points :
Pivot points are essential tools in technical analysis, providing traders with levels that act as potential support and resistance zones. These zones help identify price levels where reversals or breakouts are more likely to occur.
Visual Representation :
The core feature of this indicator is its ability to visualize pivot points as a heatmap on the chart. Instead of showing just the latest pivot points, it tracks the historical pivot swipe, providing a dynamic view of how price interacts with these key levels. Each pivot point is represented by a line, color-coded based on its position relative to other points, creating a gradient effect that highlights the most critical price areas.
Customization Options :
Traders can customize various aspects of the heatmap to suit their preferences. The indicator offers options to toggle pivot swipe history, enabling traders to either focus on the most recent price interactions or consider how price has behaved over time. The background color and pivot line colors are fully customizable, making it easy to match the heatmap with your chart's theme or emphasize certain price levels.
Detecting Sweeps and Price Interaction :
Another important feature is the detection of price interactions with pivot levels. If the current bar's high and low cross a pivot point, it signals that the pivot level has been "swept" by price action, potentially indicating a change in market sentiment. The indicator either extends the line if the pivot point remains relevant or deletes it if price has broken through. This dynamic adjustment helps traders stay updated on which pivot levels are still valid.
Connors VIX Reversal III invented by Dave LandryThis strategy is based on trading signals derived from the behavior of the Volatility Index (VIX) relative to its 10-day moving average. The rules are split into buying and selling conditions:
Buy Conditions:
The VIX low must be above its 10-day moving average.
The VIX must close at least 10% above its 10-day moving average.
If both conditions are met, a buy signal is generated at the market's close.
Sell Conditions:
The VIX high must be below its 10-day moving average.
The VIX must close at least 10% below its 10-day moving average.
If both conditions are met, a sell signal is generated at the market's close.
Exit Conditions:
For long positions, the strategy exits when the VIX trades intraday below its previous day’s 10-day moving average.
For short positions, the strategy exits when the VIX trades intraday above its previous day’s 10-day moving average.
This strategy is primarily a mean-reversion strategy, where the market is expected to revert to a more normal state after the VIX exhibits extreme behavior (i.e., large deviations from its moving average).
About Dave Landry
Dave Landry is a well-known figure in the world of trading, particularly in technical analysis. He is an author, trader, and educator, best known for his work on swing trading strategies. Landry focuses on trend-following and momentum-based techniques, teaching traders how to capitalize on shorter-term price swings in the market. He has written books like "Dave Landry on Swing Trading" and "The Layman's Guide to Trading Stocks," which emphasize practical, actionable trading strategies.
About Connors Research
Connors Research is a financial research firm known for its quantitative research in financial markets. Founded by Larry Connors, the firm specializes in developing high-probability trading systems based on historical market behavior. Connors’ work is widely respected for its data-driven approach, including systems like the RSI(2) strategy, which focuses on short-term mean reversion. The firm also provides trading education and tools for institutional and retail traders alike, emphasizing strategies that can be backtested and quantified.
Risks of the Strategy
While this strategy may appear to offer promising opportunities to exploit extreme VIX movements, it carries several risks:
Market Volatility: The VIX itself is a measure of market volatility, meaning the strategy can be exposed to sudden and unpredictable market swings. This can result in whipsaws, where positions are opened and closed in rapid succession due to sharp reversals in the VIX.
Overfitting: Strategies based on specific conditions like the VIX closing 10% above or below its moving average can be subject to overfitting, meaning they work well in historical tests but may underperform in live markets. This is a common issue in quantitative trading systems that are not adaptable to changing market conditions .
Mean-Reversion Assumption: The core assumption behind this strategy is that markets will revert to their mean after extreme movements. However, during periods of sustained trends (e.g., market crashes or rallies), this assumption may break down, leading to prolonged drawdowns.
Liquidity and Slippage: Depending on the asset being traded (e.g., S&P 500 futures, ETFs), liquidity issues or slippage could occur when executing trades at market close, particularly in volatile conditions. This could increase costs or worsen trade execution.
Scientific Explanation of the Strategy
The VIX is often referred to as the "fear gauge" because it measures the market's expectations of volatility based on options prices. Research has shown that the VIX tends to spike during periods of market stress and revert to lower levels when conditions stabilize . Mean reversion strategies like this one assume that extreme VIX levels are unsustainable in the long run, which aligns with findings from academic literature on volatility and market behavior.
Studies have found that the VIX is inversely correlated with stock market returns, meaning that higher VIX levels often correspond to lower stock prices and vice versa . By using the VIX’s relationship with its 10-day moving average, this strategy aims to capture reversals in market sentiment. The 10% threshold is designed to identify moments when the VIX is significantly deviating from its norm, signaling a potential reversal.
However, academic research also highlights the limitations of relying on the VIX alone for trading signals. The VIX does not predict market direction, only volatility, meaning that it cannot indicate the magnitude of price movements . Furthermore, extreme VIX levels can persist longer than expected, particularly during financial crises.
In conclusion, while the strategy is grounded in well-established financial principles (e.g., mean reversion and the relationship between volatility and market performance), it carries inherent risks and should be used with caution. Backtesting and careful risk management are essential before applying this strategy in live markets.
Larry Conners Vix Reversal II Strategy (approx.)This Pine Script™ strategy is a modified version of the original Larry Connors VIX Reversal II Strategy, designed for short-term trading in market indices like the S&P 500. The strategy utilizes the Relative Strength Index (RSI) of the VIX (Volatility Index) to identify potential overbought or oversold market conditions. The logic is based on the assumption that extreme levels of market volatility often precede reversals in price.
How the Strategy Works
The strategy calculates the RSI of the VIX using a 25-period lookback window. The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is often used to identify overbought and oversold conditions in assets.
Overbought Signal: When the RSI of the VIX rises above 61, it signals a potential overbought condition in the market. The strategy looks for a RSI downtick (i.e., when RSI starts to fall after reaching this level) as a trigger to enter a long position.
Oversold Signal: Conversely, when the RSI of the VIX drops below 42, the market is considered oversold. A RSI uptick (i.e., when RSI starts to rise after hitting this level) serves as a signal to enter a short position.
The strategy holds the position for a minimum of 7 days and a maximum of 12 days, after which it exits automatically.
Larry Connors: Background
Larry Connors is a prominent figure in quantitative trading, specializing in short-term market strategies. He is the co-author of several influential books on trading, such as Street Smarts (1995), co-written with Linda Raschke, and How Markets Really Work. Connors' work focuses on developing rules-based systems using volatility indicators like the VIX and oscillators such as RSI to exploit mean-reversion patterns in financial markets.
Risks of the Strategy
While the Larry Connors VIX Reversal II Strategy can capture reversals in volatile market environments, it also carries significant risks:
Over-Optimization: This modified version adjusts RSI levels and holding periods to fit recent market data. If market conditions change, the strategy might no longer be effective, leading to false signals.
Drawdowns in Trending Markets: This is a mean-reversion strategy, designed to profit when markets return to a previous mean. However, in strongly trending markets, especially during extended bull or bear phases, the strategy might generate losses due to early entries or exits.
Volatility Risk: Since this strategy is linked to the VIX, an instrument that reflects market volatility, large spikes in volatility can lead to unexpected, fast-moving market conditions, potentially leading to larger-than-expected losses.
Scientific Literature and Supporting Research
The use of RSI and VIX in trading strategies has been widely discussed in academic research. RSI is one of the most studied momentum oscillators, and numerous studies show that it can capture mean-reversion effects in various markets, including equities and derivatives.
Wong et al. (2003) investigated the effectiveness of technical trading rules such as RSI, finding that it has predictive power in certain market conditions, particularly in mean-reverting markets .
The VIX, often referred to as the “fear index,” reflects market expectations of volatility and has been a focal point in research exploring volatility-based strategies. Whaley (2000) extensively reviewed the predictive power of VIX, noting that extreme VIX readings often correlate with turning points in the stock market .
Modified Version of Original Strategy
This script is a modified version of Larry Connors' original VIX Reversal II strategy. The key differences include:
Adjusted RSI period to 25 (instead of 2 or 4 commonly used in Connors’ other work).
Overbought and oversold levels modified to 61 and 42, respectively.
Specific holding period (7 to 12 days) is predefined to reduce holding risk.
These modifications aim to adapt the strategy to different market environments, potentially enhancing performance under specific volatility conditions. However, as with any system, constant evaluation and testing in live markets are crucial.
References
Wong, W. K., Manzur, M., & Chew, B. K. (2003). How rewarding is technical analysis? Evidence from Singapore stock market. Applied Financial Economics, 13(7), 543-551.
Whaley, R. E. (2000). The investor fear gauge. Journal of Portfolio Management, 26(3), 12-17.
Dynamic Volume RSI (DVRSI) [QuantAlgo]Introducing the Dynamic Volume RSI (DVRSI) by QuantAlgo 📈✨
Elevate your trading and investing strategies with the Dynamic Volume RSI (DVRSI) , a powerful tool designed to provide clear insights into market momentum and trend shifts. This indicator is ideal for traders and investors who want to stay ahead of the curve by using volume-responsive calculations and adaptive smoothing techniques to enhance signal clarity and reliability.
🌟 Key Features:
🛠 Customizable RSI Settings: Tailor the indicator to your strategy by adjusting the RSI length and price source. Whether you’re focused on short-term trades or long-term investments, DVRSI adapts to your needs.
🌊 Adaptive Smoothing: Enable adaptive smoothing to filter out market noise and ensure cleaner signals in volatile or choppy market conditions.
🎨 Dynamic Color-Coding: Easily identify bullish and bearish trends with color-coded candles and RSI plots, offering clear visual cues to track market direction.
⚖️ Volume-Responsive Adjustments: The DVRSI reacts to volume changes, giving greater significance to high-volume price moves and improving the accuracy of trend detection.
🔔 Custom Alerts: Stay informed with alerts for key RSI crossovers and trend changes, allowing you to act quickly on emerging opportunities.
📈 How to Use:
✅ Add the Indicator: Set up the DVRSI by adding it to your chart and customizing the RSI length, price source, and smoothing options to fit your specific strategy.
👀 Monitor Visual Cues: Watch for trend shifts through the color-coded plot and candles, signaling changes in momentum as the RSI crosses key levels.
🔔 Set Alerts: Configure alerts for critical RSI crossovers, such as the 50 line, ensuring you stay on top of potential market reversals and opportunities.
🔍 How It Works:
The Dynamic Volume RSI (DVRSI) is a unique indicator designed to provide more accurate and responsive signals by incorporating both price movement and volume sensitivity into the RSI framework. It begins by calculating the traditional RSI values based on a user-defined length and price source, but unlike standard RSI tools, the DVRSI applies volume-weighted adjustments to reflect the strength of market participation.
The indicator dynamically adjusts its sensitivity by factoring in volume to the RSI calculation, which means that price moves backed by higher volumes carry more weight, making the signal more reliable. This method helps identify stronger trends and reduces the risk of false signals in low-volume environments. To further enhance accuracy, the DVRSI offers an adaptive smoothing option that allows users to reduce noise during periods of market volatility. This adaptive smoothing function responds to market conditions, providing a cleaner signal by reducing erratic movements or price spikes that could lead to misleading signals.
Additionally, the DVRSI uses dynamic color-coding to visually represent the strength of bullish or bearish trends. The candles and RSI plots change color based on the RSI values crossing critical thresholds, such as the 50 level, offering an intuitive way to recognize trend shifts. Traders can also configure alerts for specific RSI crossovers (e.g., above 50 or below 40), ensuring that they stay informed of potential trend reversals and significant market shifts in real-time.
The combination of volume sensitivity, adaptive smoothing, and dynamic trend visualization makes the DVRSI a robust and versatile tool for traders and investors looking to fine-tune their market analysis. By incorporating both price and volume data, this indicator delivers more precise signals, helping users make informed decisions with greater confidence.
Disclaimer:
The Dynamic Volume RSI is designed to enhance your market analysis but should not be used as a sole decision-making tool. Always consider multiple factors before making any trading or investment decisions. Past performance is not indicative of future results.
Swiss Knife [MERT]Introduction
The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format.
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Key Features
Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes.
Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection.
Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score.
Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart.
Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots.
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Explanation of Each Indicator
Moving Average Convergence Divergence (MACD)
- Purpose : Measures the relationship between two moving averages of price.
- Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum.
Awesome Oscillator (AO)
- Purpose : Gauges market momentum by comparing recent market movements to historic ones.
- Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum.
Parabolic SAR (SAR)
- Purpose : Identifies potential reversal points in price direction.
- Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend.
SuperTrend
- Purpose : Determines the prevailing market trend.
- Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line.
Detrended Price Oscillator (DPO)
- Purpose : Removes trend from price to identify cycles.
- Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below.
Relative Strength Index (RSI)
- Purpose : Measures the speed and change of price movements.
- Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum.
Stochastic Oscillator
- Purpose : Compares a particular closing price to a range of its prices over a certain period.
- Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions.
Bollinger Bands (BB)
- Purpose : Measures market volatility and provides relative price levels.
- Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness.
Ichimoku Cloud
- Purpose : Provides support and resistance levels, trend direction, and momentum.
- Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud.
Chande Momentum Oscillator (CMO)
- Purpose : Measures momentum on both up and down days.
- Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum.
Donchian Channels
- Purpose : Identifies volatility and potential breakouts.
- Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout.
Average Directional Index (ADX)
- Purpose : Measures the strength of a trend.
- Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend.
Volume Momentum Indicators (VolMom, CumVolMom, POCMom)
- Purpose : Analyze volume to assess buying and selling pressure.
- Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum.
Fractals
- Purpose : Identify potential reversal points in the market.
- Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend.
Divergence Detection
- Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line).
- Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal.
- Note : This functionality utilizes the library from Divergence Indicator .
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Coloring Scheme
Background Color
- Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes.
- Interpretation :
- Green Shades : Indicate bullish market sentiment.
- Red Shades : Indicate bearish market sentiment.
- Intensity : The strength of the color corresponds to the strength of the sentiment score.
Sentiment Table
- Purpose : Displays the status of each indicator across different timeframes.
- Interpretation :
- Green Cell : The indicator suggests a bullish signal.
- Red Cell : The indicator suggests a bearish signal.
- Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe.
Exponential Moving Averages (EMAs)
- Purpose : Provide dynamic support and resistance levels.
- Colors :
- EMA 10 : Lime
- EMA 20 : Yellow
- EMA 50 : Orange
- EMA 100 : Red
- EMA 200 : Purple
Trendlines
- Purpose : Visual representation of support and resistance levels based on pivot points.
- Interpretation :
- Upward Trendlines : Colored green , indicating support levels.
- Downward Trendlines : Colored red , indicating resistance levels.
- Note : Trendlines are drawn using the library from Simple Trendlines .
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Utility of Market Sentiment
The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by:
Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend.
Identifying Reversals : Divergences and fractals can signal potential turning points.
Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades.
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Divergences
Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal.
- Bullish Divergence : Price makes a lower low, but the indicator makes a higher low.
- Bearish Divergence : Price makes a higher high, but the indicator makes a lower high.
The indicator detects divergences for:
RSI
MACD
Stochastic Oscillator
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution Line (A/D Line)
By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly.
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Trendlines
Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points:
- Upward Trendlines (Support) : Connect higher lows, indicating an uptrend.
- Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend.
These trendlines help traders visualize the trend direction and potential breakout or reversal points.
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Super Trend Reversals (ST Reversal)
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders:
Engage Early : Enter the market as reversal momentum builds up.
Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes.
By capturing these reversal points, traders can enhance their trading performance.
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Conclusion
The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions.
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Citations
- Divergence Detection Library : Divergence Indicator by DevLucem
- Trendline Drawing Library : Simple Trendlines by HoanGhetti
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Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions.
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Reflected ema Difference (RED) This script, titled "Reflected EMA Difference (RED)," is based on the logic of evaluating the percentage of convergence and divergence between two moving averages, specifically the Hull Moving Averages (HMA), to make price-related decisions. The Hull Moving Average, created by Alan Hull, is used as the foundation of this strategy, offering a faster and more accurate way to analyze market trends. In this script, the concept is employed to measure and reflect price variations.
Script Functionality Overview:
Hull Moving Averages (HMA): The script utilizes two HMAs, one short-term and one long-term. The main idea is to compute the Delta Difference between these two moving averages, which represents how much they are converging or diverging from each other. This difference is key to identifying potential market trend changes.
Reflected HMA Value: Using the Delta Difference between the HMAs, the value of the short-term HMA is reflected, creating a visual reference point that helps traders see the relationship between price and HMAs on the chart.
Percentage Change Index: The second key parameter is the percentage change index. This determines when a trend is reversing, allowing buy or sell orders to be established based on significant changes in the relationship between the HMAs and the price.
Delta Multiplier: The script comes with a default Delta multiplier of 2 for calculating the difference between HMAs, allowing traders to adjust the sensitivity of the analysis based on the time frame being analyzed.
Trend Reversal Signals: When the price crosses the thresholds defined by the percentage change index, buy or sell signals are triggered, based on the detection of a potential trend reversal.
Visual Cues with Boxes: Boxes are drawn on the chart when the HullMA crosses the reflected HMA value, providing a visual aid to identify critical moments where risk should be evaluated.
Alerts for Receiving Signals:
This script allows you to set up buy and sell alerts via TradingView's alert system. These alerts are triggered when trend changes are detected based on the conditions coded in the script. Traders can receive instant notifications, allowing them to make decisions without needing to constantly monitor the chart.
Additional Considerations:
The percentage change parameter is adjustable and should be configured based on the time frame you are trading on. For longer time frames, it's advisable to use a larger percentage change to avoid false signals.
The use of Hull Moving Averages (HMA) provides a faster and more reactive approach to trend evaluation compared to other moving averages, making it a powerful tool for traders seeking quick reversal signals.
This approach combines the power of Hull Moving Averages with an alert system to improve the trader’s response to trend changes.
Spanish
Este script, titulado "Reflected EMA Difference (RED)", está fundamentado en la lógica de evaluar el porcentaje de acercamiento y distancia entre dos medias móviles, específicamente las medias móviles de Hull (HMA), para tomar decisiones sobre el valor del precio. El creador de la media móvil de Hull, Alan Hull, diseñó este indicador para ofrecer una forma más rápida y precisa de analizar tendencias de mercado, y en este script se utiliza su concepto como base para medir y reflejar las variaciones de precio.
Descripción del funcionamiento:
Medias Móviles de Hull (HMA): Se utilizan dos HMAs, una de corto plazo y otra de largo plazo. La idea principal es calcular la diferencia Delta entre estas dos medias móviles, que representa cuánto se están alejando o acercando entre sí. Esta diferencia es clave para identificar cambios potenciales en la tendencia del mercado.
Valor Reflejado de la HMA: Con la diferencia Delta calculada entre las HMAs, se refleja el valor de la HMA corta, creando un punto de referencia visual que ayuda a los traders a observar la relación entre el precio y las HMAs en el gráfico.
Índice de Cambio de Porcentaje: El segundo parámetro clave del script es el índice de cambio porcentual. Este define el momento en que una tendencia está revirtiendo, permitiendo establecer órdenes de compra o venta en función de un cambio significativo en la relación entre las HMAs y el precio.
Multiplicador Delta: El script tiene un multiplicador predeterminado de 2 para el cálculo de la diferencia Delta, lo que permite ajustar la sensibilidad del análisis según la temporalidad del gráfico.
Señales de Reversión de Tendencia: Cuando el precio cruza los límites definidos por el índice de cambio porcentual, se emiten señales para comprar o vender, basadas en la detección de una posible reversión de tendencia.
Visualización con Cajas: Se dibujan cajas en el gráfico cuando el indicador HullMA cruza el valor reflejado de la HMA, ayudando a identificar visualmente los momentos críticos en los que se debe evaluar el riesgo de las operaciones.
Alertas para Recibir Señales:
Este script permite configurar alertas de compra y venta desde el apartado de alertas de TradingView. Estas alertas se activan cuando se detectan cambios de tendencia en función de las condiciones establecidas en el código. El trader puede recibir notificaciones instantáneas, lo que facilita la toma de decisiones sin necesidad de estar constantemente observando el gráfico.
Consideraciones adicionales:
El porcentaje de cambio es un parámetro ajustable y debe configurarse según la temporalidad que se esté operando. En temporalidades más largas, es recomendable usar un porcentaje de cambio mayor para evitar señales falsas.
La utilización de las medias móviles de Hull (HMA) proporciona un enfoque más rápido y reactivo para evaluar tendencias en comparación con otras medias móviles, lo que lo convierte en una herramienta poderosa para traders que buscan señales rápidas de reversión.
Este enfoque combina la potencia de las medias móviles de Hull con un sistema de alertas que mejora la reactividad a cambios de tendencia.
No Buyers or Sellers (Volume Threshold)This indicator shows areas on the second or minute charts that lack buyer or seller activity in the form of volume. This is configurable in the code itself by the user.
This can be used to close a trade because there is no desire shown by the market to continue the trend.
Time Range### Indicator Name: **Time Range**
#### Description:
The **Time Range** indicator allows users to highlight specific time ranges on a chart for each day of the week. It uses customizable time inputs for every day (Monday to Sunday), allowing the user to define trading sessions or any time-based range. These sessions are visualized by shading the background of the chart within the defined periods.
#### Key Features:
- **Custom Sessions**: For each day of the week (Monday to Sunday), the user can define a unique time session by specifying the start time using the input fields.
- **Day-wise Session Activation**: The user can toggle the activation of sessions for each day by using checkboxes. If the session for a particular day is disabled, no background shading will appear for that day.
- **Background Highlighting**: When a session is active, the background of the chart during the specified session period will be shaded in gray with a 70% transparency. This helps the user visually identify active time ranges across multiple days.
#### Use Cases:
- **Highlighting Trading Sessions**: Traders can use this indicator to easily visualize specific market sessions such as the New York or London trading sessions.
- **Visualizing Custom Time Blocks**: Can be used to highlight any custom time blocks that are important for the trader, such as key trading hours, news release periods, or other time-based strategies.
#### Customizable Parameters:
- **Day Toggles**: Checkboxes to activate or deactivate sessions for each day of the week.
- **Time Range Inputs**: Time range inputs allow the user to set start times for each session, which are applied based on the user's selection for the day.
This indicator helps streamline chart analysis by giving clear visual markers for time-based events or trading windows.
MA OrderBlocks [AlgoAlpha]🟨 HMA OrderBlocks by AlgoAlpha is a powerful tool designed to help traders visualize key pivot zones and order blocks based on the Hull Moving Average (HMA). By dynamically identifying bullish and bearish pivot points, this script provides insights into potential price reversals and trend continuations. With customizable settings, it allows traders to tweak the behavior of the indicator to match their strategies. Plus, it comes packed with built-in alerts for trend changes, making it easier to spot potential trade opportunities.
Key Features :
📊 Trend Detection : Utilizes Hull Moving Average to detect the current trend.
🟢🔴 Bullish & Bearish Zones : Automatically plots bullish and bearish order blocks, using customizable colors for clear visual cues.
🎯 Pivot Points : Detects and marks pivot highs and lows, helping traders spot key price reversals.
🚨 Alerts : Built-in alert system for when the price approaches key bullish or bearish zones, or when the trend changes.
🔨 Customizable MA: Choose from various moving averages (SMA, HMA, EMA, etc.) to suit your strategy.
How to Use :
⭐ Add the Indicator : Add the indicators to favourites by pressing the star icon. Once added, configure settings like the Hull MA period and pivot detection period.
📈 Analyze the Chart : Watch for the plotted order blocks and pivot points to identify possible price action strategies.
🔔 Enable Alerts : Set up alerts to be notified of potential trend reversals or when the price nears a bullish/bearish block.
How It Works :
The script starts by calculating the Hull Moving Average (HMA) based on the user-defined length, which is used to determine the market trend direction. It compares the current HMA value with the previous one to confirm whether the price is trending upwards or downwards. Once a trend change is detected, it plots bullish or bearish order blocks based on recent pivot highs and lows. These zones are extended in real-time as long as they remain invalidated. Zones are invalidated are invalidated when price completely closes through them. If the price gets close to a zone in the opposing direction, a warning system alerts the user that the block may not hold. Additionally, customizable alerts trigger whenever the price trend shifts or the price gets near important bullish/bearish blocks. The script’s logic ensures that order blocks are cleared if price violates them, keeping the chart clean and updated.
Prime Multi-Ticker Screener: Real-Time Market StructurePrime Multi-Ticker Screener: Real-Time Market Structure and Trend Detection Tool
Prime Multi-Ticker Screener is designed to track multiple tickers simultaneously, providing real-time insights into market trends and structure changes such as CHoCH (Change of Character) and BOS (Break of Structure). This tool is perfect for traders looking to monitor multiple assets across different timeframes while receiving clear signals that highlight critical market shifts. The indicator delivers instant visual feedback with color-coded backgrounds to make interpreting signals easy and efficient.
Core Features of Prime Multi-Ticker Screener
Multi-Ticker Monitoring: Track up to 5 tickers across multiple timeframes in a single dashboard. This makes it easy to watch several assets at once without cluttering your chart.
CHoCH and BOS Detection: The screener automatically detects and highlights significant market structure shifts. CHoCH signals are shown when a trend reverses or consolidates, while BOS signals indicate a break in previous highs or lows, helping traders catch potential trend reversals early.
Color-Coded Visuals: The background of each signal cell dynamically changes color to represent bullish or bearish signals. Green indicates bullish activity, while red highlights bearish market shifts, making it easy for traders to identify key movements at a glance.
Close Price and ATR Data: For each ticker, the screener displays both the current close price and the 14-period Average True Range (ATR), providing important volatility information to support decision-making.
Detailed Explanation of How Prime Multi-Ticker Screener Works
Prime Multi-Ticker Screener combines trend detection with real-time market structure analysis to deliver comprehensive market insights. It analyzes the following components:
CHoCH Detection: Change of Character occurs when the market switches from trending to ranging or vice versa. This indicator catches these moments by identifying when prices cross pivot levels, providing traders with a valuable signal of potential market phase changes.
BOS Detection: The Break of Structure function highlights moments when the price breaks a significant high or low, often indicating the start of a new trend or the continuation of an existing one.
Close Price & ATR Monitoring: Alongside market structure signals, the screener provides real-time data on the close price and the Average True Range (ATR), ensuring traders have a complete picture of the price and volatility landscape for each asset they are tracking.
Why It's Useful for Traders
Prime Multi-Ticker Screener is a versatile tool that offers substantial benefits to traders who want to stay informed about multiple assets and trends simultaneously:
Comprehensive Monitoring: Track multiple assets in real time, all from a single indicator. Whether you trade crypto, forex, or stocks, this tool helps you stay on top of market movements across different assets and timeframes.
Market Structure Analysis: The automatic detection of CHoCH and BOS signals gives traders an edge by identifying potential reversals and trend continuations as they happen, allowing for more timely and informed trading decisions.
Efficient and Intuitive Design: The screener is designed with simplicity in mind. The color-coded backgrounds quickly alert traders to market structure shifts without overwhelming them with data, making it ideal for those who need to act fast.
How It Works: Practical Usage
Prime Multi-Ticker Screener is ideal for:
Day traders: The real-time tracking of multiple assets allows day traders to quickly spot trading opportunities across different markets.
Swing traders: CHoCH and BOS detection help swing traders catch key market structure shifts, helping them align trades with emerging trends.
Trend followers: The screener provides instant feedback on when a trend is continuing or breaking, helping trend-following traders maintain their positions or exit early when needed.
By combining multiple key metrics—price, volatility, and market structure—Prime Multi-Ticker Screener ensures traders are well-equipped to manage their positions across a variety of assets.
Risk Disclaimer
While Prime Multi-Ticker Screener provides valuable market insights, it's important to remember:
Past performance is not indicative of future results: This screener provides analysis based on historical data, and no indicator can predict future market movements with certainty.
Market Conditions: The effectiveness of Prime Multi-Ticker Screener may vary in different market conditions, so traders should always use proper risk management when trading.
Trading Risks: Like any trading tool, Prime Multi-Ticker Screener should be used as part of a comprehensive trading strategy, including risk management techniques such as stop-loss orders and position sizing.
Harish Algo 2The script "Harish Algo 2" is a Pine Script-based TradingView indicator that automatically identifies significant trendlines based on fractal points and tracks price interactions with those trendlines. Key features include:
Fractal Detection: The script identifies fractal highs and lows, using a configurable fractal period, to serve as pivot points for generating trendlines. Fractal highs are marked in blue, and fractal lows are marked in red.
Dynamic Trendlines: It draws trendlines between consecutive fractal points, with a limit on the maximum number of active trendlines. The trendlines can be extended either in both directions or to the right, as per user input. The line width can also be customized.
Support/Resistance Counting: Each trendline tracks how many times the price interacts with it. If the price approaches the line from above and touches or stays near it, the line is considered a support. If the price approaches from below, it is considered a resistance. These counts are used to modify the trendline's color and appearance.
Trendlines with 2 support interactions turn green.
Trendlines with 2 resistance interactions turn red.
Trendlines with 3 or more interactions turn black.
Trendline Styling: Trendlines that extend over a long period (more than 100 bars) change to a dotted style to highlight their persistence.
Break Detection: The script monitors if the price crosses a trendline, signaling a potential breakout or breakdown. Once a trendline is broken, it stops extending further.
Trendline Removal: The script ensures that only a limited number of trendlines are active at a time. If the maximum number of trendlines is reached, the oldest trendline is removed to make space for new ones.
This indicator is designed to help traders visualize important trendlines, spot potential support and resistance levels, and detect breakouts or breakdowns based on price movement.
RishiMoney RSIRishiMoney RSI
The "RishiMoney RSI" indicator is designed for traders who want to leverage the power of the Relative Strength Index (RSI) across multiple timeframes.
In addition to regular RSI, this script allows the users to select custom timeframes for two additional RSI calculations, making it easier to identify trends, reversals, and potential entry or exit points.
USAGE
While Returning the same information as a regular RSI the RishiMoney RSI provides two more RSI calculations One for Lagrgest Timeframe and one for middle Timeframe so that the users need not to check for higher timeframes separately Which is very Time consuming. This script solves the problem of time taking process of checking different timeframes RSI calculations.
This script is ideal for traders who want to confirm their analysis across multiple timeframes. By comparing the main RSI with larger and intermediate timeframes, traders can better understand the market's momentum and make more informed decisions.
The RishiMoney RSI crossing above the overbought level can be indicative of a strong uptrend which is highlighted as a green gradient area, while when RishiMoney RSI is crossing under the oversold level can be indicative of a strong downtrend which is highlighted as a red area.
Key Features:
Customizable RSI Period: Set your preferred RSI period for precise calculation and analysis.
Multi-Timeframe RSI:
Largest RSI Timeframe: Choose the largest timeframe for your analysis (Monthly, Weekly, Daily, Hourly, 15 minutes, or 5 minutes).
Middle RSI Timeframe: Select an intermediate timeframe for comparison with the main RSI.
Overbought and Oversold Levels: The indicator includes customizable overbought and oversold levels, which are clearly marked on the chart with dynamic bands.
Alerts: Set up alerts for when the RSI crosses into overbought or oversold territory, so you never miss a potential trading opportunity.
Visual Clarity: The script plots the RSI for your selected timeframes with distinct colors, helping you quickly identify trends across different timeframes.
This script is provided for educational purposes only and should not be considered financial advice. Always conduct your own research and consult with a financial advisor before making any trading decisions.
Ultra Moving AverageThe Ultra Moving Average is a versatile technical indicator that combines various types of moving averages to analyze trends, providing multi-timeframe insights for traders. It offers four customizable moving averages and a trend strength table for enhanced decision-making.
Introduction
The Ultra Moving Average indicator is a powerful tool designed to help traders track market trends by offering a combination of four distinct moving averages. With flexible customization options, users can apply different types of moving averages like SMA, EMA, TEMA, and many more, across various timeframes. Additionally, it provides trend strength analysis through an intuitive visual table, helping traders quickly identify market conditions.
Detailed Description
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Moving Averages
Each of the four moving averages is independently configurable. You can select the timeframe, type, length, color, and width to match your trading strategy.
The types of moving averages range from traditional ones like the Simple Moving Average (SMA) to advanced ones like the Double Expotential Moving Average (DEMA) or the Triple Exponential Moving Average (TEMA) or the Recursive Moving Average (RMA) or the Weigthend Moving Average (WMA) or the Volume Weigthend Moving Average (VWMA) or Hull Moving Average (HMA).
Very Special ones are the Triple Weigthend Moving Average (TWMA) wich created RedKTrader .
I created the Multi Weigthend Moving Average (MWMA) wich is a simple signal line to the TWMA.
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Trend Visualization
The indicator uses color-coding to visually represent whether the price is in an uptrend or downtrend. Bullish trends are highlighted in one color, while bearish trends appear in another, making it easy to interpret.
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Trend Strength Table
One of the unique features of the Ultra Moving Average is the trend strength table at the bottom of the chart. This table breaks down the strength of the fast, mid, and slow moving averages, displaying them as percentages. It also shows the overall "trend power," which helps assess how strong or weak the current trend is.
You have the option to calculate trends using live data or the previous bar's data, offering flexibility in how the indicator reacts to market changes. This can help traders make more responsive decisions based on real-time trends.
The table displays trend strength across three timeframes Fast, Mid, and Slow by calculating the percentage difference between the price and each of the moving averages (MA1, MA3, MA4).
The Power row shows the average of these percentages, representing overall trend strength.
The percentages are calculated relative to their maximum values in history (limited by TradingView subscription), providing insight into the trend's strength for each timeframe.
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Overall, the Ultra Moving Average indicator is a comprehensive tool that combines multiple moving average types and advanced trend analysis, helping traders identify market direction and strength at a glance. With its intuitive visualization and flexible settings, it's suited for both beginner and experienced traders.
Special Thanks
I use the TWMA-Function created from RedKTrader to smooth the values.
Special thanks to him for creating and sharing this function!
