Bitcoin Power Law Oscillator [InvestorUnknown]The Bitcoin Power Law Oscillator is a specialized tool designed for long-term mean-reversion analysis of Bitcoin's price relative to a theoretical midline derived from the Bitcoin Power Law model (made by capriole_charles). This oscillator helps investors identify whether Bitcoin is currently overbought, oversold, or near its fair value according to this mathematical model.
Key Features:
Power Law Model Integration: The oscillator is based on the midline of the Bitcoin Power Law, which is calculated using regression coefficients (A and B) applied to the logarithm of the number of days since Bitcoin’s inception. This midline represents a theoretical fair value for Bitcoin over time.
Midline Distance Calculation: The distance between Bitcoin’s current price and the Power Law midline is computed as a percentage, indicating how far above or below the price is from this theoretical value.
float a = input.float (-16.98212206, 'Regression Coef. A', group = "Power Law Settings")
float b = input.float (5.83430649, 'Regression Coef. B', group = "Power Law Settings")
normalization_start_date = timestamp(2011,1,1)
calculation_start_date = time == timestamp(2010, 7, 19, 0, 0) // First BLX Bitcoin Date
int days_since = request.security('BNC:BLX', 'D', ta.barssince(calculation_start_date))
bar() =>
= request.security('BNC:BLX', 'D', bar())
int offset = 564 // days between 2009/1/1 and "calculation_start_date"
int days = days_since + offset
float e = a + b * math.log10(days)
float y = math.pow(10, e)
float midline_distance = math.round((y / btc_close - 1.0) * 100)
Oscillator Normalization: The raw distance is converted into a normalized oscillator, which fluctuates between -1 and 1. This normalization adjusts the oscillator to account for historical extremes, making it easier to compare current conditions with past market behavior.
float oscillator = -midline_distance
var float min = na
var float max = na
if (oscillator > max or na(max)) and time >= normalization_start_date
max := oscillator
if (min > oscillator or na(min)) and time >= normalization_start_date
min := oscillator
rescale(float value, float min, float max) =>
(2 * (value - min) / (max - min)) - 1
normalized_oscillator = rescale(oscillator, min, max)
Overbought/Oversold Identification: The oscillator provides a clear visual representation, where values near 1 suggest Bitcoin is overbought, and values near -1 indicate it is oversold. This can help identify potential reversal points or areas of significant market imbalance.
Optional Moving Average: Users can overlay a moving average (either SMA or EMA) on the oscillator to smooth out short-term fluctuations and focus on longer-term trends. This is particularly useful for confirming trend reversals or persistent overbought/oversold conditions.
This indicator is particularly useful for long-term Bitcoin investors who wish to gauge the market's mean-reversion tendencies based on a well-established theoretical model. By focusing on the Power Law’s midline, users can gain insights into whether Bitcoin’s current price deviates significantly from what historical trends would suggest as a fair value.
Циклический анализ
Anomaly Detection with Standard Deviation [CHE]Anomaly Detection with Standard Deviation in Trading
Application for Traders
Traders can use this indicator to identify potential turning points in the market. Anomalies above the upper threshold may indicate overbought conditions, suggesting a possible reversal or sell opportunity. Conversely, anomalies below the lower threshold might signal oversold conditions, presenting a potential buying opportunity. By combining these signals with other technical analysis tools, traders can make more informed decisions and refine their trading strategies.
Introduction
Welcome to this presentation on Anomaly Detection using Standard Deviation in the context of trading. This method helps traders identify unusual price movements that may indicate potential trading opportunities. We will walk through the concept, explain how to set up the indicator, and discuss how traders can utilize it effectively.
Concept Overview
Anomaly Detection using Standard Deviation is a statistical method that identifies price points in a financial market that deviate significantly from the norm. The method relies on calculating the moving average and the standard deviation of a chosen price indicator over a specified period. By defining thresholds (e.g., 3 standard deviations above and below the mean), the method flags these deviations as anomalies, which can signal potential trading opportunities.
1. Selecting the Data Source
Description: The first step in setting up the indicator is choosing the price data that will be analyzed. Common options include the closing price, opening price, highest price, lowest price, or a combination of these (such as the average of the open, high, low, and close prices, known as OHLC4).
Importance: The choice of data source affects the sensitivity and relevance of the detected anomalies.
2. Setting the Calculation Period
Description: The calculation period refers to the number of time units (such as days, hours, or minutes) used to compute the moving average and standard deviation. A typical default period might be 20 units.
Importance: A shorter period makes the indicator more responsive to recent changes, while a longer period smooths out short-term fluctuations and highlights more significant trends.
3. Determining the Number of Displayed Lines and Labels
Description: Traders can configure how many anomaly lines and labels are displayed on the chart at any given time. This is crucial for maintaining a clear and readable chart, especially in volatile markets.
Importance: Limiting the number of displayed anomalies helps avoid clutter and focuses attention on the most recent or relevant data points.
4. Calculating the Mean and Standard Deviation
Description: The mean (or moving average) represents the central tendency of the price data, while the standard deviation measures the dispersion or volatility around this mean.
Importance: These statistical measures are fundamental to determining the thresholds for what constitutes an "anomaly."
5. Defining Anomaly Thresholds
Description: Anomaly thresholds are typically set at 3 standard deviations above and below the mean. Prices that exceed these thresholds are considered anomalies, signaling potential overbought (above the upper threshold) or oversold (below the lower threshold) conditions.
Importance: These thresholds help traders identify extreme market conditions that might present trading opportunities.
6. Identifying Anomalies
Description: The indicator checks whether the high or low prices exceed the defined thresholds. If they do, these price points are flagged as anomalies.
Importance: Identifying these points can alert traders to unusual market behavior, prompting them to consider buying, selling, or holding their positions.
7. Visualizing the Anomalies
Description: The indicator plots the thresholds on the chart as lines, with anomalies highlighted through additional visual cues, such as labels or lines.
Importance: This visualization makes it easy for traders to spot significant deviations from the norm, which might warrant further analysis or immediate action.
8. Managing Displayed Anomalies
Description: To keep the chart organized, the indicator automatically removes the oldest lines and labels when the number exceeds the user-defined limit.
Importance: This feature ensures that the chart remains clear and focused on the most relevant data points, preventing information overload.
Conclusion
The Anomaly Detection with Standard Deviation indicator is a powerful tool for identifying significant deviations in market behavior. By customizing parameters such as the calculation period and the number of displayed anomalies, traders can tailor the indicator to suit their specific needs, leading to more effective trading decisions.
Best regards
Chervolino
AB_Bnf_Selling_5minThe Mathematical Level Reversal Strategy is designed to identify potential reversal points in the market using mathematical levels combined with price action on a 5-minute chart. This strategy is particularly effective for intraday traders who seek to capitalize on precise entry and exit points based on calculated levels rather than traditional indicators like moving averages or Bollinger Bands.
Creators' Mathematical Levels Explanation
Mathematical levels are predetermined price points calculated based on various factors such as previous high/low points, Fibonacci retracements, or other arithmetic calculations. These levels are used to anticipate areas where the price might reverse or experience significant support or resistance.
higher threshold: A predefined level where the price is expected to experience resistance, leading to a potential reversal downward.
Lower Threshold: A predefined level where the price might find support, leading to a potential upward reversal.
In this strategy, we focus on price movements around the upper mathematical level, where prices are likely to reverse downwards.
Strategy Logic
Setup:
The strategy is applied on a 5-minute chart.
Mathematical levels are calculated based on your preferred method, such as Fibonacci levels, pivot points, or custom calculations. For this strategy, let's assume we are using a specific predefined upper level.
Sell Signal Criteria:
A 5-minute candle must cross above the predefined upper mathematical level or close entirely above it (open and close both above the level).
The following candle must break below the low of the candle that crossed the upper level and close below that low. This confirms a bearish reversal.
Once these conditions are met, a sell signal is triggered.
Stop Loss:
The stop loss is placed at the high of the candle that crossed above the upper mathematical level.
This level represents the point where the trade setup would be invalidated.
Take Profit:
Target 1: The first take profit is set at a level that offers a 1:5 risk-to-reward ratio.
Target 2: An alternative take profit level is set at a 1:3 risk-to-reward ratio, providing flexibility based on market conditions.
Trade Management:
Once a trade is initiated, no new trades will be taken until the current trade hits either the stop loss or the first take profit level. This prevents overlapping signals and helps in managing risk effectively.
Originality and Usefulness
This strategy offers a unique approach by using mathematical levels instead of traditional indicators. It provides traders with a clear framework for identifying and executing high-probability reversal trades, particularly in intraday markets.
Originality:
The strategy's originality lies in its reliance on mathematical levels combined with a multi-candle confirmation pattern. This approach reduces the chances of false signals and offers a robust method for identifying potential reversals.
Usefulness:
The strategy is particularly useful for traders who prefer a more quantitative approach, relying on calculated price levels rather than indicators. The clear rules for entry, stop loss, and take profit make it easier to execute consistently.
The inclusion of both 1:5 and 1:3 risk-to-reward targets allows for flexibility depending on market conditions, ensuring that traders can adapt to varying levels of volatility.
Chart Signals and Examples
To demonstrate the effectiveness of this strategy, let's look at a few hypothetical examples on a 5-minute chart:
Example 1: Clear Reversal Signal
The price steadily rises and crosses above the predefined upper mathematical level. The next candle breaks below the low of this candle and closes lower, triggering a sell signal.
A red dotted line is drawn at the stop loss level (the high of the candle that crossed the upper level).
Two green dashed lines are drawn to indicate the first and second take profit levels.
Example 2: No Signal Due to Ongoing Trade
After an initial sell signal is triggered, the price fluctuates but does not hit either the stop loss or the first take profit target. During this period, the strategy refrains from issuing any new signals, adhering to the trade management rule.
Example 3: Trade Reaches Target 1
In another scenario, the price moves sharply in favor of the trade after the signal is triggered. The first take profit level is hit, securing a profit. The trade is then considered closed, and the strategy is ready to issue a new signal when conditions are met.
Opening Price LinesThis script allows the user to set 16 custom opening time price lines and labels, as well as 4 vertical lines to delineate times of the day.
Opening price is crucial for PO3 and OHLC/OLHC market strategies. If you are bearish, you want to get in above the opening price of a candle; conversely if you are bullish you want to enter below the opening price of a candle.
This indicator will aid in identifying time clusters in price as well as identifying important times for whatever strategy the user employs.
*Many thanks to TFO for the framework from which this indicator was created.*
Combined Bitcoin CME Gaps and Weekend DaysScript Description: Combined Bitcoin CME Gaps and Weekend Days
Author: NeoButane (Bitcoin CME Gaps), JohnIsTrading (Day of Week),
Contributor : MikeTheRuleTA (Combined and optimizations)
This Pine Script indicator provides a combined view of Bitcoin CME gaps and customizable weekend day backgrounds on your chart. It’s designed to help traders visualize CME gaps along with customizable weekend day highlights.
Features:
CME Gaps Visualization:
Enable CME Gaps: Toggle the display of CME gaps on your chart.
Show Real vs. CME Price: Choose whether to display chart prices or CME prices for gap analysis.
Weekend Gaps Only: Filter to show only weekend gaps for a cleaner view (note: this may miss holidays).
CME Gaps Styling:
Weekend Background Highlighting:
Enable Weekend Background: Toggle the weekend day background highlight on or off.
Timezone Selection: Choose the relevant timezone for accurate weekend highlighting.
Customizable Weekend Colors: Define colors for Saturday and Sunday backgrounds.
How It Works:
CME Gaps: The script identifies gaps between CME and chart prices when the CME session is closed. It plots these gaps with customizable colors and line widths.
You can choose to see gaps based on CME prices or chart prices and decide whether to include only weekends.
Weekend Backgrounds: The script allows for background highlighting of weekends (Saturday and Sunday) on your chart. This can be enabled or disabled and customized with specific colors.
The timezone setting ensures that the background highlights match your local time settings.
Inputs:
CME Gaps Settings:
Enable CME Gaps
Show Real vs. CME Price
Only Show Weekend Gaps
CME Gaps Style:
Gap Fill Color Up
Gap Fill Color Down
Gap Fill Transparency
Weekend Settings:
Enable Weekend Background
Timezone
Enable Saturday
Saturday Color
Enable Sunday
Sunday Color
Usage:
Add this script to your TradingView chart to overlay CME gaps and weekend highlights.
Adjust the settings according to your preferences for a clearer view of gaps and customized weekend backgrounds.
This indicator provides a comprehensive tool for tracking CME gaps and understanding weekend market behaviors through visual enhancements on your trading charts.
Market Indicator by Atilla YurtsevenThis TradingView script is designed to analyze and visualize market trends by showing the percentage drops from the all-time high (ATH) of a stock or any other financial instrument. It also calculates and displays key statistical levels such as the mean, median, and various percentage thresholds. This indicator helps traders identify significant retracement levels and possible support/resistance zones based on historical price movements.
Indicator Settings:
- The indicator is named "Market // Atilla Yurtseven" and can be overlaid on the price chart.
- Users can choose to use the closing price (Use Close Price) or the high/low prices.
- Options are provided to show the ATH, ATL (All-Time Low), mean, median, and various minor and macro percentage levels.
Color Customization:
- The script allows customization of text and line colors for different levels, making it adaptable to different charting styles.
Initial Variable Setup:
- The script initializes several variables, including ATH, ATL, and arrays to store price data.
The round and roundy functions are used to format the values for display purposes.
ATH/ATL Calculation:
- The script checks if the current price exceeds the previous ATH and updates the ATH accordingly.
- Similarly, the script calculates the ATL based on the lowest point after reaching the ATH.
Mean and Median Calculation:
- The mean is calculated as the average drop from the ATH, while the median is the middle value in the sorted array of drops.
- These statistics provide insight into the overall trend and are used to identify significant price levels.
Plotting the Levels:
The script plots the ATH, ATL, mean, median, and various percentage retracement levels (12.5%, 25%, 37.5%, etc.).
The levels are color-coded based on user preferences, making it easier to interpret the chart visually.
Labels and Text Display:
- The script dynamically creates and updates labels on the chart to show the values of the ATH, ATL, mean, median, and other key levels.
- This feature allows traders to see at a glance how far the current price is from these critical levels.
Hit Detection:
- The script includes logic to detect if the price is within the range of the mean and median. If the price is within this range, the color of the fill between these levels changes, highlighting this area on the chart.
This script is a powerful tool for traders who want to analyze the retracement levels from historical highs. By displaying the mean, median, and various percentage levels, it provides a comprehensive view of potential support and resistance areas, helping traders make more informed decisions. The customizable nature of the script allows it to fit seamlessly into different trading strategies and charting styles.
Disclaimer:
This script is provided for informational and educational purposes only and does not constitute financial or investment advice. The author, Atilla Yurtseven, is not responsible for any financial losses or damages that may occur as a result of using this script. Trading and investing in financial markets involve risk, and past performance is not indicative of future results. Users should conduct their own research and consult with a qualified financial advisor before making any investment decisions. Use this script at your own risk.
Trade smart, stay safe.
Atilla Yurtseven
Open Interest (OI) Delta [UAlgo]The Open Interest (OI) Delta indicator is a tool designed to provide insights into the dynamics of Open Interest changes within the futures market. Open Interest (OI) refers to the total number of outstanding derivative contracts, such as options or futures, that have not been settled. The OI Delta measures the change in Open Interest over a specified period, allowing traders to assess whether new money is entering the market or existing positions are being closed.
This indicator offers two distinct display modes to visualize OI Delta, along with customizable levels that help in categorizing the magnitude of OI changes. Additionally, it provides the option to color-code the bars on the price chart based on the intensity and direction of OI Delta, making it easier for traders to interpret market sentiment and potential future price movements.
🔶 Key Features
Two Display Modes: Choose between two different modes for visualizing OI Delta, depending on your analysis preferences:
Mode 1: Displays the OI Delta directly as positive or negative values.
Mode 2: Separates positive and negative OI Delta values, displaying them as absolute values for easier comparison.
Customizable Levels: Set up to four levels of OI Delta magnitude, each with customizable thresholds and colors. These levels help categorize the OI changes into Normal, Medium, Large, and Extreme ranges, allowing for a more nuanced interpretation of market activity.
MA Length and Standard Deviation Period: Adjust the moving average length and standard deviation period for OI Delta, which smooths out the data and helps in identifying significant deviations from the norm.
Color-Coded Bar Chart: Optionally color the price bars on your chart based on the OI Delta levels, helping to visually correlate price action with changes in Open Interest.
Heatmap Display: Toggle the display of OI Delta levels on the chart, with the option to fill the areas between these levels for a more visually intuitive understanding of the data.
🔶 Interpreting Indicator
Positive vs. Negative OI Delta:
A positive OI Delta indicates that the Open Interest is increasing, suggesting that new contracts are being created, which could imply fresh capital entering the market.
A negative OI Delta suggests that Open Interest is decreasing, indicating that contracts are being closed out or settled, which might reflect profit-taking or a reduction in market interest.
Magnitude Levels:
Level 1 (Normal OI Δ): Represents typical, less significant changes in OI. If the OI Delta stays within this range, it may indicate routine market activity without any substantial shift in sentiment.
Level 2 (Medium OI Δ): Reflects a more significant change in OI, suggesting increased market interest and possibly the beginning of a new trend or phase of market participation.
Level 3 (Large OI Δ): Indicates a strong change in OI, often associated with a decisive move in the market. This could signify strong conviction among market participants, either bullish or bearish.
Level 4 (Extreme OI Δ): The highest level of OI change, often preceding major market moves. Extreme OI Δ can be a signal of potential market reversals or the final phase of a strong trend.
Color-Coded Bars:
When enabled, the color of the price bars will reflect the magnitude and direction of the OI Delta. This visual aid helps in quickly assessing the correlation between price movements and changes in market sentiment as indicated by OI.
This indicator is particularly useful for futures traders looking to gauge the strength and direction of market sentiment by analyzing changes in Open Interest. By combining this with price action, traders can gain a deeper understanding of market dynamics and make more informed trading decisions
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Envelop-Ama-VivekThe Adaptive Moving Average (AMA) is a type of moving average developed by Perry Kaufman, designed to adapt to the market's volatility. Unlike traditional moving averages that use fixed periods for smoothing, the AMA adjusts its sensitivity based on the market's noise and trends.
### Key Features of AMA:
1. **Adaptive Sensitivity:**
- The AMA responds more quickly to significant market movements while filtering out minor fluctuations. This is achieved by adjusting the smoothing constant dynamically.
- In trending markets, the AMA becomes more sensitive, allowing it to capture trends faster.
- In choppy or sideways markets, the AMA reduces its sensitivity, thus minimizing the impact of noise and avoiding false signals.
2. **Efficiency Ratio (ER):**
- The ER is a core component of the AMA. It measures the efficiency of price movement by comparing the net price change to the total price change over a given period.
- A higher ER indicates a strong trend, while a lower ER suggests more noise in the market.
3. **Smoothing Constant (SC):**
- The SC determines how much weight is given to the most recent price relative to the previous AMA value.
- The SC is dynamically adjusted based on the ER, with higher values used during strong trends and lower values during volatile or choppy periods.
### Applications of AMA:
- **Trend Detection:** The AMA is useful for identifying the start of a new trend or confirming an existing one, as it adjusts quickly to significant price movements.
- **Noise Reduction:** By adapting to market conditions, the AMA helps in filtering out market noise, making it easier to distinguish between genuine trends and short-term fluctuations.
- **Entry and Exit Signals:** Traders can use the AMA to generate buy and sell signals. For instance, when the price crosses above the AMA, it might indicate a buying opportunity, and when it crosses below, it might signal a selling opportunity.
### Benefits:
- **Adaptive Nature:** Its ability to adjust to market conditions makes the AMA more reliable in different market environments.
- **Reduced Lag:** Compared to traditional moving averages, the AMA reduces lag during trending markets, allowing for quicker responses to price movements.
### Drawbacks:
- **Complexity:** The calculation of the AMA is more complex compared to simple moving averages, which might make it less accessible to some traders.
- **Parameter Sensitivity:** The effectiveness of the AMA can vary depending on the chosen parameters (e.g., length, fast length, slow length), requiring careful tuning.
In summary, the AMA is a powerful tool for traders looking to capture trends while minimizing the impact of market noise. Its adaptive nature makes it suitable for various market conditions, providing a balance between responsiveness and noise reduction.
Mystic Pulse [CHE]Mystic Pulse - A Non-Lagging Trend Indicator
Introduction
In the world of trading, identifying trends accurately and timely is crucial for successful decision-making. The saying "The Trend is Your Friend" encapsulates this principle, emphasizing the importance of riding the prevailing market trend. The Mystic Pulse indicator is designed to help traders do exactly that—detect trends early and follow them with confidence.
This presentation will walk you through how the Mystic Pulse indicator functions, its advantages, and how it can be a powerful tool in your trading arsenal.
Key Features of Mystic Pulse
Non-Lagging Signals: Unlike traditional indicators that often lag the market, Mystic Pulse generates trend signals in real-time, ensuring you are always in sync with the current market direction.
Adaptive Smoothing: The indicator employs a smoothing factor that dynamically adjusts based on recent price action, reducing noise and focusing on significant market movements.
Directional Movement Analysis: By calculating the directional movement index (DI+ and DI-) with a unique smoothing approach, the indicator identifies whether bulls or bears are in control.
Trend Counting Logic: The indicator counts consecutive positive and negative trend signals, providing a clear visual representation of the market’s direction.
Customizable Candle Colors: For better visual clarity, the indicator allows for customization of candle colors, highlighting neutral, bullish, or bearish candles based on trend strength.
Understanding the Indicator
1. Directional Movement and ADX Calculation
The Mystic Pulse uses a modified ADX calculation known as ZLAG ADX. It assesses true range, directional movement (both positive and negative), and smoothes these values over a specified length. This helps in capturing the essence of market trends without lag:
True Range (TR): Measures market volatility by comparing the high-low range to the previous close.
Directional Movement: Determines whether bulls (DI+) or bears (DI-) are gaining strength.
These components are then smoothed using a custom formula that adapts to recent price movements, ensuring that the signals remain relevant and timely.
2. Trend Counting Mechanism
The heart of Mystic Pulse is its trend counting logic:
Positive Trend Count: Increases when DI+ shows strengthening bullish signals.
Negative Trend Count: Increases when DI- indicates stronger bearish control.
Total Trend Count: Reflects the dominant trend by comparing positive and negative counts.
This counting mechanism ensures that the indicator is always aware of the current market bias, updating in real-time.
3. Visualization and Signal Generation
The indicator provides visual cues through color-coded plots:
Green Plot: Indicates an ongoing uptrend (positive trend count is higher).
Red Plot: Signals a downtrend (negative trend count is higher).
Neutral Candles: Optionally highlighted when neither bulls nor bears dominate, offering a clearer view of indecisive market conditions.
Application and Strategy
The Mystic Pulse indicator is ideal for traders who prefer trend-following strategies. Here's how you can apply it effectively:
Entry Points: Enter trades when the trend count strongly favors one direction, indicated by consecutive green (bullish) or red (bearish) plots.
Exit Points: Consider exiting when the opposite trend starts to gain traction, signaled by a change in the dominant color.
Risk Management: Use the neutral candle display to avoid trades in uncertain market conditions, thereby reducing risk.
Conclusion
The Mystic Pulse indicator is a sophisticated tool that helps traders stay aligned with market trends, offering non-lagging, adaptive signals. Its design reflects the trading philosophy "The Trend is Your Friend," enabling you to follow the market's lead with confidence.
By incorporating this indicator into your trading strategy, you can enhance your ability to identify and capitalize on emerging trends, minimizing lag and maximizing potential returns.
Q&A
If you have any questions or would like to see a live demonstration of the Mystic Pulse in action, feel free to ask.
Disclaimer:
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (CHE) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Best regards Chervolino
Envelope with Kernel Selection [CHE] Envelope with Kernel Selection Indicator Overview
The "Envelope with Kernel Selection " is a versatile technical analysis tool designed to help traders identify market trends and trading signals. This indicator allows traders to spot signals in two primary ways: through the plotshape markers, which indicate specific price crossovers, and via the background color, which visually represents the current market trend.
Key Features and Advantages:
1. Dual Signal Mechanism:
- Plotshape Markers: The indicator uses visual markers (arrows) on the chart to highlight when the price crosses above or below the envelope bands. These markers act as clear trade signals, helping traders identify potential buy or sell opportunities.
- Background Color for Trend Identification: In addition to plotshape markers, the indicator can also use the chart's background color to indicate overall market direction. A green background suggests a bullish trend, while a red background indicates a bearish trend. This dual signal mechanism provides traders with both precise entry/exit points and an easy-to-read trend indicator.
2. Customizable Background Color Feature:
- Background Color Toggle: The background color feature can be turned on or off using the `bgColorEnabled = input.bool(true, "Background Color On / Off")` setting. When this setting is enabled (`true`), the background color dynamically changes based on the market's trend, offering an additional visual cue. If the setting is disabled (`false`), the background color remains neutral, allowing traders to focus solely on the plotshape signals or other chart elements.
- Visual Clarity: When enabled, the background color helps traders quickly gauge the market's trend without analyzing detailed chart patterns, making it easier to identify whether the market is in a bullish or bearish phase.
3. Customizable Kernel Selection for Enhanced Smoothing:
- Diverse Kernel Options: The indicator provides six different kernel functions (Linear, Exponential, Epanechnikov, Triangular, Cosine, Gauss) for smoothing price data. Traders can select the kernel that best suits their analysis style, allowing for precise adjustment to market conditions.
- Improved Trend Accuracy: By choosing the appropriate kernel function, traders can either focus on short-term price movements or capture broader trends more effectively, thus improving the accuracy of their market analysis.
4. Non-Repainting Signals for Reliability:
- Consistency in Signals: The indicator’s non-repainting nature ensures that once a signal (such as a crossover or trend change) is generated, it does not change with future price movements. This consistency is crucial for making reliable trading decisions, especially when backtesting or executing strategies based on historical data.
- Dependable Trading: Traders can rely on the signals provided by this indicator to remain consistent, which enhances confidence in decision-making and reduces the risk of false signals.
5. Dynamic Trend Bands:
- Adaptive Support and Resistance: The indicator calculates and displays upper and lower trend bands around a midline based on the selected kernel function. These bands act as dynamic support and resistance levels, guiding traders in identifying potential reversal zones.
- Versatility in Various Market Conditions: The bands can be adjusted for different market volatilities using the bandwidth setting, making the indicator suitable for both trending and ranging markets.
6. Clear Visual Indicators for Crossovers:
- Easy-to-Spot Trade Signals: The indicator uses arrows to mark when the price crosses the upper or lower bands. A green arrow indicates a potential buy signal, while a red arrow indicates a potential sell signal. These visual markers simplify the identification of entry and exit points.
- Enhanced Precision: By clearly marking crossover points, the indicator helps traders execute trades with greater precision, reducing the likelihood of missed opportunities.
---
In summary, the "Envelope with Kernel Selection " offers traders a powerful combination of visual signals through plotshape markers and background color changes. Its customizable kernel selection, non-repainting nature, and dynamic trend bands make it a comprehensive and reliable tool for market analysis and trading. Whether you prefer clear trade signals or broader trend identification, this indicator provides the flexibility and accuracy needed to make informed trading decisions.
Best regards
Chervolino
Historical Swing High-Low Gann IndicatorThe Historical Swing High-Low Gann Indicator is a powerful tool designed to track and visualize key market swing points over time. This indicator identifies significant swing highs and lows within a specified time frame and draws connecting lines between these points, allowing traders to observe the natural ebb and flow of the market.
What sets this indicator apart is its ability to maintain all previously drawn swing lines, creating a comprehensive historical view of market movements. Additionally, the indicator projects Gann-style lines from the most recent swing highs and lows, providing traders with potential future support and resistance levels based on the geometric progression of price action.
Features:
Swing Detection: Automatically detects significant swing highs and lows over a user-defined period (default is 3 hours).
Persistent Historical Lines: Keeps all previously drawn lines, offering a complete visual history of the market's swing points.
Gann-Style Projections: Draws forward-looking lines from the latest swing points to help predict possible future market levels.
Customizable Parameters: Allows users to adjust the swing detection period to suit different trading styles and time frames.
This indicator is ideal for traders who rely on price action, support and resistance levels, and Gann theory for their analysis. Whether used in isolation or as part of a broader strategy, the Historical Swing High-Low Gann Indicator provides valuable insights into the market's behavior over time.
Day-of-Week PerformanceThis Pine Script indicator calculates and displays the average performance for each weekday over a specified lookback period on a chart. The performance is computed based on the percentage change from the open to the close price of each day.
Features:
Lookback Period:
Input field to specify the number of days to look back for calculating performance. The default is set to 756 days.
Performance Calculation:
Calculates the average percentage change from open to close for each weekday (Monday through Friday) within the specified lookback period.
Histogram Plots:
Displays histograms on the chart for each weekday. Each histogram represents the average performance of that day of the week.
Histograms are plotted with distinct colors:
Monday: Blue
Tuesday: Red
Wednesday: Green
Thursday: Orange
Friday: Purple
Performance Table:
A table is displayed in the top-right corner of the chart showing the average percentage performance for each weekday.
The table updates with the lookback period and the calculated average performance values for each weekday.
Positive performance values are shown in green, and negative values are shown in red.
This indicator helps visualize day-of-the-week performance trends, providing insights into which days typically perform better or worse over the specified period.
Normalized and Smoothed Cumulative Delta for Top 5 NASDAQ StocksThis script is designed to create a TradingView indicator called **"Normalized and Smoothed Cumulative Delta for Top 5 NASDAQ Stocks."** The purpose of this indicator is to track and visualize the cumulative price delta (the change in price from one period to the next) for the top five NASDAQ stocks: Apple Inc. (AAPL), Microsoft Corporation (MSFT), Alphabet Inc. (GOOGL), Amazon.com Inc. (AMZN), and Meta Platforms Inc. (FB).
### Key Features of the Script:
1. **Ticker Selection**:
- The script focuses on the top five NASDAQ stocks by automatically setting their tickers.
2. **Price Data Retrieval**:
- It fetches the closing prices for each of these stocks using the `request.security` function for the current timeframe.
3. **Delta Calculation**:
- The script calculates the delta for each stock, which is simply the difference between the current closing price and the previous closing price.
4. **Cumulative Delta Calculation**:
- It calculates the cumulative delta for each stock by adding the current delta to the previous cumulative delta. This helps track the total change in price over time.
5. **Summing and Smoothing**:
- The cumulative deltas for all five stocks are summed together.
- The script then applies an Exponential Moving Average (EMA) with a period of 5 to smooth the summed cumulative delta, making the indicator less sensitive to short-term fluctuations.
6. **Normalization**:
- To ensure the cumulative delta is easy to interpret, the script normalizes it to a range of 0 to 1. This is done by tracking the minimum and maximum values of the smoothed cumulative delta and scaling the data accordingly.
7. **Visualization**:
- The normalized cumulative delta is plotted as a smooth line, allowing users to see the overall trend of the cumulative price changes for the top five NASDAQ stocks.
- A horizontal line is added at 0.5, serving as a midline reference, which can help traders quickly assess whether the normalized cumulative delta is above or below its midpoint.
### Usage:
This indicator is particularly useful for traders and investors who want to monitor the aggregated price movements of the top NASDAQ stocks, providing a high-level view of market sentiment and trends. By smoothing and normalizing the data, it offers a clear and concise visualization that can be used to identify potential market turning points or confirm ongoing trends.
Fear/Greed Zone Reversals [UAlgo]The "Fear/Greed Zone Reversals " indicator is a custom technical analysis tool designed for TradingView, aimed at identifying potential reversal points in the market based on sentiment zones characterized by fear and greed. This indicator utilizes a combination of moving averages, standard deviations, and price action to detect when the market transitions from extreme fear to greed or vice versa. By identifying these critical turning points, traders can gain insights into potential buy or sell opportunities.
🔶 Key Features
Customizable Moving Averages: The indicator allows users to select from various types of moving averages (SMA, EMA, WMA, VWMA, HMA) for both fear and greed zone calculations, enabling flexible adaptation to different trading strategies.
Fear Zone Settings:
Fear Source: Select the price data point (e.g., close, high, low) used for Fear Zone calculations.
Fear Period: This defines the lookback window for calculating the Fear Zone deviation.
Fear Stdev Period: This sets the period used to calculate the standard deviation of the Fear Zone deviation.
Greed Zone Settings:
Greed Source: Select the price data point (e.g., close, high, low) used for Greed Zone calculations.
Greed Period: This defines the lookback window for calculating the Greed Zone deviation.
Greed Stdev Period: This sets the period used to calculate the standard deviation of the Greed Zone deviation.
Alert Conditions: Integrated alert conditions notify traders in real-time when a reversal in the fear or greed zone is detected, allowing for timely decision-making.
🔶 Interpreting Indicator
Greed Zone: A Greed Zone is highlighted when the price deviates significantly above the chosen moving average. This suggests market sentiment might be leaning towards greed, potentially indicating a selling opportunity.
Fear Zone Reversal: A Fear Zone is highlighted when the price deviates significantly below the chosen moving average of the selected price source. This suggests market sentiment might be leaning towards fear, potentially indicating a buying opportunity. When the indicator identifies a reversal from a fear zone, it suggests that the market is transitioning from a period of intense selling pressure to a more neutral or potentially bullish state. This is typically indicated by an upward arrow (▲) on the chart, signaling a potential buy opportunity. The fear zone is characterized by high price volatility and overselling, making it a crucial point for traders to consider entering the market.
Greed Zone Reversal: Conversely, a Greed Zone is highlighted when the price deviates significantly above the chosen moving average. This suggests market sentiment might be leaning towards greed, potentially indicating a selling opportunity. When the indicator detects a reversal from a greed zone, it indicates that the market may be moving from an overbought condition back to a more neutral or bearish state. This is marked by a downward arrow (▼) on the chart, suggesting a potential sell opportunity. The greed zone is often associated with overconfidence and high buying activity, which can precede a market correction.
🔶 Why offer multiple moving average types?
By providing various moving average types (SMA, EMA, WMA, VWMA, HMA) , the indicator offers greater flexibility for traders to tailor the indicator to their specific trading strategies and market preferences. Different moving averages react differently to price data and can produce varying signals.
SMA (Simple Moving Average): Provides an equal weighting to all data points within the specified period.
EMA (Exponential Moving Average): Gives more weight to recent data points, making it more responsive to price changes.
WMA (Weighted Moving Average): Allows for custom weighting of data points, providing more flexibility in the calculation.
VWMA (Volume Weighted Moving Average): Considers both price and volume data, giving more weight to periods with higher trading volume.
HMA (Hull Moving Average): A combination of weighted moving averages designed to reduce lag and provide a smoother curve.
Offering multiple options allows traders to:
Experiment: Traders can try different moving averages to see which one produces the most accurate signals for their specific market.
Adapt to different market conditions: Different market conditions may require different moving average types. For example, a fast-moving market might benefit from a faster moving average like an EMA, while a slower-moving market might be better suited to a slower moving average like an SMA.
Personalize: Traders can choose the moving average that best aligns with their personal trading style and risk tolerance.
In essence, providing a variety of moving average types empowers traders to create a more personalized and effective trading experience.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Hurst Exponent SmoothedDescription:
The Hurst Exponent Smoothed indicator provides a dynamic analysis of market behavior by calculating the Hurst Exponent over a specified lookback period. This tool is especially useful for identifying whether a market is trending or mean-reverting.
Key Features:
Lookback Period: Set to 90 by default, this parameter controls how many periods the indicator considers for its calculations. Adjusting this value allows you to fine-tune the sensitivity of the indicator to recent price action.
Market Analysis: The Hurst Exponent gives insights into the nature of price movement:
A value near 0.5 suggests a random walk, indicating that the market is unpredictable.
Values above 0.5 indicate a trending market where price movements exhibit persistence, suggesting that the current trend may continue.
Values below 0.5 point to a mean-reverting market, where price movements tend to reverse, making it a potential signal for contrarian trading strategies.
Usage:
Trend Following: When the Hurst Exponent is consistently above 0.5, it may indicate a strong trend. Traders can use this information to align with the current market direction.
Mean Reversion: If the Hurst Exponent falls below 0.5, it could signal that the market is more likely to revert to the mean, offering opportunities for mean-reversion strategies.
Visuals:
The indicator displays a smooth line oscillating between values, giving traders a clear visual cue for the current market condition.
The script is optimized for various timeframes, as demonstrated on the BTCUSD pair on a 270-minute chart. Traders can adapt the lookback period based on their trading style and the specific asset being analyzed.
Open Source: This script is open-source and free to use. Feel free to customize and adapt it to your needs!
Monthly Day Long Strategy with VIX and Risk ManagementThis trading strategy is designed to open long positions on a specific day of the month, with the conditions for entry and exit based on the VIX index and additional risk management techniques. The strategy includes stop-loss and take-profit features to manage risk and lock in profits.
Inputs:
Entry Day of the Month (entry_day): Specifies which day of the month to consider for initiating a trade. The default value is the 27th.
Hold Duration (Days) (hold_duration_days): Defines how many days to hold the position after opening. The default value is 4 days.
VIX Threshold (vix_threshold): Sets the maximum acceptable value for the VIX index to consider an entry. If the VIX is below this threshold, it signals a potential trade. The default value is 20.0.
Stop Loss (%) (stop_loss_percentage): Determines the percentage below the entry price where the stop-loss will be triggered. The default value is 2.0%.
Take Profit (%) (take_profit_percentage): Sets the percentage above the entry price where the take-profit will be triggered. The default value is 5.0%.
Functions:
next_weekday(date): Adjusts the entry date to the next Monday if it falls on a weekend (Saturday or Sunday). This ensures trades do not occur on non-trading days.
Logic:
Entry Conditions:
Date Check: Opens a long position if the current date matches the adjusted entry date (the 27th or the next Monday if the 27th falls on a weekend).
VIX Filter: The VIX index value must be below the specified threshold (e.g., 20.0) to consider an entry.
Exit Conditions:
Time-Based Exit: Closes the position after the hold duration of 4 days.
Stop-Loss: Automatically closes the position if the price drops to a level that is a specified percentage below the entry price (e.g., 2.0%).
Take-Profit: Closes the position if the price rises to a level that is a specified percentage above the entry price (e.g., 5.0%).
Plots:
VIX Plot: Displays the VIX index on the chart for visual reference.
VIX Threshold Line: A horizontal line representing the VIX threshold value.
Summary:
The strategy aims to take advantage of specific entry days while filtering trades based on VIX levels to ensure market conditions are favorable. Risk management is enhanced through stop-loss and take-profit settings, which help in controlling potential losses and securing profits. The strategy ensures trades are only made on trading days and not on weekends, adjusting automatically to the next Monday if needed.
ChatGPT kann Fehler machen. Überprüfe wichtige Informationen.
Friday Bond Short StrategyStrategy: Friday Bond Short Strategy (1H Timeframe)
Objective:
This strategy aims to open short positions on a specified day and hour (Eastern Time) and close those positions on another specified day and hour. The background color of the chart will turn green when a position is active, providing a visual cue of an open trade.
Parameters:
1. Entry Day:
• Defines the day of the week on which the short position will be opened.
• Value: 6 for Friday (Pine Script’s weekday numbering: Monday = 2, Friday = 6).
2. Entry Hour:
• Specifies the hour (Eastern Time) when the short position will be opened.
• Value: 13 for 13:00 ET (1:00 PM).
3. Exit Day:
• Defines the day of the week on which the short position will be closed.
• Value: 2 for Monday.
4. Exit Hour:
• Specifies the hour (Eastern Time) when the position will be closed.
• Value: 13 for 13:00 ET (1:00 PM).
How It Works:
1. Time Adjustment to Eastern Time:
• The script converts all time references to Eastern Time (America/New_York) to ensure the strategy operates according to the desired time zone.
2. Entry Conditions:
• The strategy checks if the current day of the week matches the specified entry_day and if the current hour matches the specified entry_hour.
• If both conditions are met, a short position is opened (strategy.entry("Short", strategy.short)).
3. Exit Conditions:
• Similarly, the strategy checks if the current day of the week matches the specified exit_day and if the current hour matches the specified exit_hour.
• If both conditions are met, the open short position is closed (strategy.close("Short")).
4. Background Color:
• The background color of the chart is adjusted based on whether there is an open position:
• Green Background: If the strategy has an open position (strategy.position_size > 0), the background is set to light green.
• No Background Color: If there is no open position, the background color is not set (na).
Summary:
The Friday Bond Short Strategy is designed to enter short positions on Fridays at 1:00 PM ET and close them on Mondays at 1:00 PM ET. The chart background color turns green when a short position is active, providing a clear visual indication of when the strategy is engaged in a trade.
75: Notable Financial CrisesThe TradingView script named "75: Notable Financial Crises" visualizes and marks significant financial crises on a financial chart.
This script plots vertical lines on the a chart corresponding to specific dates associated with notable financial crises in history. These crises could include events like the Great Depression (1929), Black Monday (1987), the Dot-com Bubble (2000), the Global Financial Crisis (2008), and others. By marking these dates on a chart, traders and analysts can easily observe the impact of these events on market behavior.
High-Low of X BarOverview
The High-Low of X Bar indicator allows traders to visualize historical high and low values from a specific number of bars ago directly on the chart.
Provides insight into past price action by displaying high, low, and their difference at the most recent bar.
Customizable inputs and color settings for labels enhance usability and visual integration with your chart.
Key Features
Historical Data Analysis: Displays the high, low, and the difference between these values from a specified number of bars ago.
Customizable Inputs: Set the number of bars ago to review historical price points, with a range from 1 to 2000 bars. Premium users can exceed this range.
Dynamic Labeling: Option to show high, low, and difference values as labels on the chart, with customizable text and background colors.
Color Customization: Customize label colors for high, low, and difference values, as well as for cases with insufficient bars.
Inputs
Number of Bars Ago: Enter the number of bars back from the current bar to analyze historical high and low values.
Show High Value: Toggle to display the historical high value.
Show Low Value: Toggle to display the historical low value.
Show Difference Value: Toggle to display the difference between high and low values.
Color Settings
High Label Background Color: Set the background color of the high value label.
High Label Text Color: Choose the text color for the high value label.
Low Label Background Color: Set the background color of the low value label.
Low Label Text Color: Choose the text color for the low value label.
Difference Label Background Color: Set the background color of the difference label.
Difference Label Text Color: Choose the text color for the difference label.
Not Enough Bars Label Background Color: Set the background color for the label shown when there are insufficient bars.
Not Enough Bars Label Text Color: Choose the text color for the insufficient bars label.
Usage Instructions
Add to Chart: Apply the High-Low of X Bar indicator to your TradingView chart.
Configure Settings: Adjust the number of bars ago and display options according to your analysis needs.
Customize Appearance: Set the colors for the labels to match your chart's style.
Analyze: Review the high, low, and their difference directly on your chart for immediate insights into past price movements.
Notes
Ensure your chart has sufficient historical data for the indicator to function properly.
Customize label visibility and colors based on your preference and trading strategy.
Simple Fibonacci Retracement Strategy This strategy uses Fibonacci retracement to identify key levels in the market and helps traders find good entry and exit points. By understanding and using this strategy, traders can improve their trading decisions and increase their chances of success in the market.
This strategy, called the "Simple Fibonacci Retracement Strategy," is designed to help traders identify potential entry and exit points in the market based on Fibonacci retracement levels. The code is written in Pine Script and runs on the TradingView platform.
Overall Function
The strategy uses Fibonacci retracement levels to identify potential support and resistance levels in the market. This helps traders find good entry and exit points for trades, as well as set stop-loss and take-profit levels to minimize risk and maximize gains.
Main Components of the Code
1. Input Parameters
Lookback Period: The number of bars used to identify the highest high and lowest low.
Fibonacci Direction: The choice of whether Fibonacci levels are calculated from top to bottom or bottom to top.
Fibonacci Levels: Specific Fibonacci levels (23.6%, 38.2%, 50%, 61.8%) used to identify important price levels.
Take Profit and Stop Loss: The number of pips used to set take profit and stop loss levels.
2. Identification of Highest and Lowest Points
The code uses the lookback period to find the highest high (highestHigh) and the lowest low (lowestLow). These levels form the basis for calculating the Fibonacci levels.
3. Calculation of Fibonacci Levels
Based on the direction chosen by the user, the code calculates the various Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%).
4. Trading Logic
Long Signal: Generated when the price crosses above the 61.8% Fibonacci level from bottom to top.
Short Signal: Generated when the price crosses below the 38.2% Fibonacci level from top to bottom.
When a long or short signal is generated, the strategy opens a position and sets take profit and stop loss levels based on the input parameters.
5. Visualization
The strategy plots the Fibonacci levels on the chart to provide a visual representation of the calculated levels. This helps traders see where the levels are in relation to the current price.
6. Alerts
The code also has functionality to create alerts (commented out), which can notify traders of buy or sell signals.
How to Use the Strategy
Configure Parameters: Adjust the lookback period, Fibonacci direction, and levels for take profit and stop loss to your preferences.
View the Chart: The Fibonacci levels will be plotted on the chart, providing a visual overview of potential support and resistance levels.
Trade Signals: Follow the generated buy and sell signals. Set your parameters in settings and adjust according to the generated buy and sell signals in the strategy tester. The strategy will automatically set your take profit and stop loss levels.
Evaluation and Adjustment: Monitor the performance of the strategy and make adjustments as needed to optimize the results.
Norwegian
Denne strategien, kalt "Simple Fibonacci Retracement Strategy", er designet for å hjelpe tradere med å identifisere mulige inngangs- og utgangspunkter i markedet basert på Fibonacci-retracementnivåer. Koden er skrevet i Pine Script og kjøres på TradingView-plattformen.
Overordnet Funksjon
Strategien bruker Fibonacci-retracementnivåer for å identifisere potensielle støtte- og motstandsnivåer i markedet. Dette hjelper tradere med å finne gode inngangs- og utgangspunkter for handler, samt å sette stop-loss og take-profit nivåer for å minimere risiko og maksimere gevinster.
Hovedkomponenter i Koden
1. Input Parametere
Lookback Period: Antall barer som brukes til å identifisere høyeste høydepunkt og laveste lavpunkt.
Fibonacci Direction: Valg om Fibonacci-nivåene skal beregnes fra topp til bunn eller bunn til topp.
Fibonacci Levels: Spesifikke Fibonacci-nivåer (23.6%, 38.2%, 50%, 61.8%) som brukes til å identifisere viktige prisnivåer.
Take Profit og Stop Loss: Antall pips som brukes til å sette take profit og stop loss nivåer.
2. Identifikasjon av Høyeste og Laveste Punkt
Koden bruker lookback perioden for å finne det høyeste høydepunktet (highestHigh) og det laveste lavpunktet (lowestLow). Disse nivåene er grunnlaget for å beregne Fibonacci-nivåene.
3. Beregning av Fibonacci-nivåer
Basert på retningen valgt av brukeren, beregner koden de forskjellige Fibonacci-nivåene (0%, 23.6%, 38.2%, 50%, 61.8%, 100%).
4. Handelslogikk
Long Signal: Genereres når prisen krysser over 61.8% Fibonacci-nivået fra bunn til topp.
Short Signal: Genereres når prisen krysser under 38.2% Fibonacci-nivået fra topp til bunn.
Når et long eller short signal genereres, åpner strategien en posisjon og setter take profit og stop loss nivåer basert på inputparametrene.
5. Visualisering
Strategien plottet Fibonacci-nivåene på chartet for å gi en visuell representasjon av de beregnede nivåene. Dette hjelper tradere med å se hvor nivåene er i forhold til den nåværende prisen.
6. Varsler
Koden har også funksjonalitet for å lage varsler (kommentert ut), som kan varsle tradere om kjøps- eller salgssignaler.
Slik Bruker Du Strategien
Konfigurer Parametere: Juster lookback perioden, Fibonacci-retningen, og nivåene for take profit og stop loss til dine preferanser.
Se på Chartet: Fibonacci-nivåene vil bli plottet på chartet, noe som gir deg en visuell oversikt over potensielle støtte- og motstandsnivåer.
Handle Signaler: Sett dine parametere i innstillinger og juster etter genererte kjøps- og salgssignalene i strategy testeren. Strategien vil automatisk sette dine take profit og stop loss nivåer.
Evaluering og Justering: Overvåk ytelsen til strategien og gjør justeringer etter behov for å optimalisere resultatene.
Macro Times [Blu_Ju]About ICT Macro Times:
The Inner Circle Trader (ICT) has taught that there are certain time sessions when the Interbank Price Delivery Algorithm (IPDA) is running a macro. The macro itself could be a repricing macro, a consolidation macro, etc. - this depends on where price currently is in relation to its draw. The times the macro is active do not change however, and are always the following (in New York local time):
8:50-9:10 (premarket macro)
9:50-10:10 (AM macro 1)
10:50-11:10 (AM macro 2)
11:50-12:10 (lunch macro)
13:10-13:40 (PM macro)
15:15-15:45 (final hour macro)
Because these times are fixed, traders can anticipate a setup is likely to form in or around these sessions. Setups may involve sweeps of liquidity (highs/lows), repricing to inefficiencies (e.g., fair value gaps), breaker setups, etc. (The specific setup involved is beyond the scope of this script; this script is concerned with visually marking the time sessions only.)
About this Script:
The scope of this script is to visually identify the macro active time sessions. This script draws vertical lines to mark the start and end of the macro time sessions. Optionally, the user can use a background color for the macro session with or without the vertical lines. The user can also toggle on or off any of the macro sessions, if he or she is only interested in certain ones. The user also has the freedom to change the times of the macro sessions if he or she is interested in a different time.
What makes this script unique is that it plots the macro time sessions after midnight for each day, before the real-time bar reaches the macro times. This is advantageous to the trader, as it gives the trader a visual cue that the macro times are approaching. When watching price it is easy to lose track of time, and the purpose of this script is to help the trader maintain where price is in relation to the macro time sessions in a simple, visual way.
Flat Market Scanner [CHE]Flat Market Scanner
Introduction
Welcome to our presentation on the "Flat Market Scanner" for TradingView. This innovative indicator is designed to identify and highlight periods of sideways market movement, providing traders with crucial insights for making informed decisions. Sideways phases are characterized by alternating up and down movements within a narrow price range, lacking a clear directional trend.
The Idea Behind the Flat Market Scanner
The core concept of the Flat Market Scanner is to detect and visualize flat (sideways) market conditions. In such periods, the price of an asset does not exhibit significant upward or downward movements, remaining within a narrow range. These flat markets are often characterized by low volatility and can be challenging for trend-following traders.
How It Works:
1. RSI Analysis: The indicator utilizes the Relative Strength Index (RSI) to measure the speed and change of price movements.
2. Cumulative Test Variable: It calculates the cumulative sum of positive and negative price changes to create a test variable.
3. Flat Period Detection: By examining the highest and lowest values of the test variable over a specified period (`flatPeriod`), the indicator determines if the market is flat.
4. Consecutive Flat Periods: It tracks consecutive periods where the market is flat to identify sustained sideways movement.
5. Visualization: When a flat market is detected, a colored box is drawn on the chart to highlight the flat period. The color of the box indicates the current RSI trend.
Why Flat Markets Pose Risks
Flat markets can present several risks and challenges for traders:
1. Reduced Profit Opportunities: In a flat market, price movements are minimal, leading to limited profit opportunities for traders who rely on significant price swings.
2. False Signals: Sideways markets often generate false signals for technical indicators, leading to potential losses if traders misinterpret these signals as trends.
3. Increased Costs: Frequent trading in a flat market can result in higher transaction costs, eating into potential profits.
4. Psychological Stress: The lack of clear direction can cause frustration and stress, leading traders to make impulsive decisions that deviate from their trading strategy.
Benefits of the Flat Market Scanner
- Clarity: The Flat Market Scanner provides visual clarity on when the market is flat, helping traders avoid entering positions during low-volatility periods.
- Risk Management: By identifying flat periods, traders can better manage their risk and allocate their capital to more promising market conditions.
- Strategic Planning: Understanding when the market is flat allows traders to adjust their strategies, such as focusing on range-bound trading techniques or waiting for breakout opportunities.
Conclusion
The Flat Market Scanner is an essential tool for traders seeking to navigate the complexities of market conditions. By effectively identifying and visualizing flat markets, this indicator empowers traders to make smarter decisions, manage risks, and optimize their trading strategies. Embrace the power of the Flat Market Scanner and enhance your trading experience on TradingView.
Thank you for your attention. Happy trading!
Best regards Chervolino
BTC - Power Law OscillatorDescription:
The BTC - Power Law Oscillator is a technical analysis tool designed to help traders and investors identify potential overbought and oversold conditions in the Bitcoin market. This oscillator is based on a power law model that approximates Bitcoin's historical price trajectory, providing a framework for understanding deviations from this trajectory over time.
Key Features:
Exponential Model: The oscillator uses an exponential model that represents Bitcoin's price growth over time since its inception on January 3, 2009. This model is mathematically expressed as:
price=exp(5.71×ln(days since inception)−38.16)
This captures the long-term growth trend of Bitcoin, allowing for the analysis of deviations from this model.
Deviation Analysis: The Power Law Oscillator measures the percentage deviation of Bitcoin's closing price from the model price. This deviation is expressed as a percentage to illustrate how far the current price is from the expected model trajectory.
Normalization: The oscillator values are normalized to a 0-100 range. A quadratic transformation is applied to enhance sensitivity to higher values, allowing for better visualization and interpretation of extreme conditions.
Bands and Zones:
Upper Band (50): Indicates the 20% threshold. Values above this band suggest overbought conditions, where Bitcoin's price may be significantly above the expected trajectory.
Lower Band (15): Indicates the 5% threshold. Values below this band suggest oversold conditions, where Bitcoin's price may be significantly below the expected trajectory.
Top Zone: The area above the upper band is shaded red, highlighting potential sell or caution areas.
Bottom Zone: The area below the lower band is shaded green, highlighting potential buy or accumulation areas.
Benefits:
Trend Analysis: Helps identify long-term trends and potential reversals by analyzing price deviations from a theoretical model based on historical growth.
Market Timing: Assists in market timing decisions by indicating overbought and oversold conditions with visual bands and zones.
Enhanced Sensitivity: The quadratic normalization enhances sensitivity to changes in the oscillator, providing clearer signals for traders.
Usage Tips:
Complementary Tool: Use this oscillator in conjunction with other technical indicators and fundamental analysis for more comprehensive market insights.
Risk Management: Always employ sound risk management strategies when trading, as no single indicator can guarantee accurate predictions.
Market Context: Consider the broader market context, as Bitcoin's volatility can lead to significant short-term fluctuations.
The BTC - Power Law Oscillator provides a unique perspective on Bitcoin's price movements by leveraging a mathematical model to understand historical growth trends and deviations. Use this tool to gain deeper insights into market dynamics and enhance your trading strategy.
