Macros ICT KillZones [TradingFinder] Times & Price Trading Setup🔵 Introduction
ICT Macros, developed by Michael Huddleston, also known as ICT (Inner Circle Trader), is a powerful trading tool designed to help traders identify the best trading opportunities during key time intervals like the London and New York trading sessions.
For traders aiming to capitalize on market volatility, liquidity shifts, and Fair Value Gaps (FVG), understanding and using these critical time zones can significantly improve trading outcomes.
In today’s highly competitive financial markets, identifying the moments when the market is seeking buy-side or sell-side liquidity, or filling price imbalances, is essential for maximizing profitability.
The ICT Macros indicator is built on the renowned ICT time and price theory, which enables traders to track and leverage key market dynamics such as breaks of highs and lows, imbalances, and liquidity hunts.
This indicator automatically detects crucial market times and optimizes strategies for traders by highlighting the specific moments when price movements are most likely to occur. A standout feature of ICT Macros is its automatic adjustment for Daylight Saving Time (DST), ensuring that traders remain synced with the correct session times.
This means you can rely on accurate market timing without the need for manual updates, allowing you to focus on capturing profitable trades during critical timeframes.
🔵 How to Use
The ICT Macros indicator helps you capitalize on trading opportunities during key market moments, particularly when the market is breaking highs or lows, filling Fair Value Gaps (FVG), or addressing imbalances. This indicator is particularly beneficial for traders who seek to identify liquidity, market volatility, and price imbalances.
🟣 Sessions
London Sessions
London Macro 1 :
UTC Time : 06:33 to 07:00
New York Time : 02:33 to 03:00
London Macro 2 :
UTC Time : 08:03 to 08:30
New York Time : 04:03 to 04:30
New York Sessions
New York Macro AM 1 :
UTC Time : 12:50 to 13:10
New York Time : 08:50 to 09:10
New York Macro AM 2 :
UTC Time : 13:50 to 14:10
New York Time : 09:50 to 10:10
New York Macro AM 3 :
UTC Time : 14:50 to 15:10
New York Time : 10:50 to 11:10
New York Lunch Macro :
UTC Time : 15:50 to 16:10
New York Time : 11:50 to 12:10
New York PM Macro :
UTC Time : 17:10 to 17:40
New York Time : 13:10 to 13:40
New York Last Hour Macro :
UTC Time : 19:15 to 19:45
New York Time : 15:15 to 15:45
These time intervals adjust automatically based on Daylight Saving Time (DST), helping traders to enter or exit trades during key market moments when price volatility is high.
Below are the main applications of this tool and how to incorporate it into your trading strategies :
🟣 Combining ICT Macros with Trading Strategies
The ICT Macros indicator can easily be used in conjunction with various trading strategies. Two well-known strategies that can be combined with this indicator include:
ICT 2022 Trading Model : This model is designed based on identifying market liquidity, structural price changes, and Fair Value Gaps (FVG). By using ICT Macros, you can identify the key time intervals when the market is seeking liquidity, filling imbalances, or breaking through important highs and lows, allowing you to enter or exit trades at the right moment.
Silver Bullet Strategy : This strategy, which is built around liquidity hunting and rapid price movements, can work more accurately with the help of ICT Macros. The indicator pinpoints precise liquidity times, helping traders take advantage of market shifts caused by filling Fair Value Gaps or correcting imbalances.
🟣 Capitalizing on Price Volatility During Key Times
Large market algorithms often seek liquidity or fill Fair Value Gaps (FVG) during the intervals marked by ICT Macros. These periods are when price volatility increases, and traders can use these moments to enter or exit trades.
For example, if sell-side liquidity is drained and the market fills an imbalance, the price might move toward buy-side liquidity. By identifying these moments, which may also involve breaking a previous high or low, you can leverage rapid market fluctuations to your advantage.
🟣 Identifying Liquidity and Price Imbalances
One of the important uses of ICT Macros is identifying points where the market is seeking liquidity and correcting imbalances. You can determine high or low liquidity levels in the market before each ICT Macro, as well as Fair Value Gaps (FVG) and price imbalances that need to be filled, using them to adjust your trading strategy. This capability allows you to manage trades based on liquidity shifts or imbalance corrections without needing a bias toward a specific direction.
🔵 Settings
The ICT Macros indicator offers various customization options, allowing users to tailor it to their specific needs. Below are the main settings:
Time Zone Mode : You can select one of the following options to define how time is displayed:
UTC : For traders who need to work with Universal Time.
Session Local Time : The local time corresponding to the London or New York markets.
Your Time Zone : You can specify your own time zone (e.g., "UTC-4:00").
Your Time Zone : If you choose "Your Time Zone," you can set your specific time zone. By default, this is set to UTC-4:00.
Show Range Time : This option allows you to display the time range of each session on the chart. If enabled, the exact start and end times of each interval are shown.
Show or Hide Time Ranges : Toggle on/off for visual clarity depending on user preference.
Custom Colors : Set distinct colors for each session, allowing users to personalize their chart based on their trading style.These settings allow you to adjust the key time intervals of each trading session to your preference and customize the time format according to your own needs.
🔵 Conclusion
The ICT Macros indicator is a powerful tool for traders, helping them to identify key time intervals where the market seeks liquidity or fills Fair Value Gaps (FVG), corrects imbalances, and breaks highs or lows. This tool is especially valuable for traders using liquidity-based strategies such as ICT 2022 or Silver Bullet.
One of the key features of this indicator is its support for Daylight Saving Time (DST), ensuring you are always in sync with the correct trading session timings without manual adjustments. This is particularly beneficial for traders operating across different time zones.
With ICT Macros, you can capitalize on crucial market opportunities during sensitive times, take advantage of imbalances, and enhance your trading strategies based on market volatility, liquidity shifts, and Fair Value Gaps.
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Kalman For Loop [BackQuant]Kalman For Loop
Introducing BackQuant's Kalman For Loop (Kalman FL) — a highly adaptive trading indicator that uses a Kalman filter to smooth price data and generate actionable long and short signals. This advanced indicator is designed to help traders identify trends, filter out market noise, and optimize their entry and exit points with precision. Let’s explore how this indicator works, its key features, and how it can enhance your trading strategies.
Core Concept: Kalman Filter
The Kalman Filter is a mathematical algorithm used to estimate the state of a system by filtering noisy data. It is widely used in areas such as control systems, signal processing, and time-series analysis. In the context of trading, a Kalman filter can be applied to price data to smooth out short-term fluctuations, providing a clearer view of the underlying trend.
Unlike moving averages, which use fixed weights to smooth data, the Kalman Filter adjusts its estimate dynamically based on the relationship between the process noise and the measurement noise. This makes the filter more adaptive to changing market conditions, providing more accurate trend detection without the lag associated with traditional smoothing techniques.
Please see the original Kalman Price Filter
In this script, the Kalman For Loop applies the Kalman filter to the price source (default set to the closing price) to generate a smoothed price series, which is then used to calculate signals.
Adaptive Smoothing with Process and Measurement Noise
Two key parameters govern the behavior of the Kalman filter:
Process Noise: This controls the extent to which the model allows for uncertainty in price changes. A lower process noise value will make the filter smoother but slower to react to price changes, while a higher value makes it more sensitive to recent price fluctuations.
Measurement Noise: This represents the uncertainty or "noise" in the observed price data. A higher measurement noise value gives the filter more leeway to ignore short-term fluctuations, focusing on the broader trend. Lowering the measurement noise makes the filter more responsive to minor changes in price.
These settings allow traders to fine-tune the Kalman filter’s sensitivity, adjusting it to match their preferred trading style or market conditions.
For-Loop Scoring Mechanism
The Kalman FL further enhances the effectiveness of the Kalman filter by using a for-loop scoring system. This mechanism evaluates the smoothed price over a range of periods (defined by the Calculation Start and Calculation End inputs), assigning a score based on whether the current filtered price is higher or lower than previous values.
Long Signals: A long signal is generated when the for-loop score surpasses the Long Threshold (default set at 20), indicating a strong upward trend. This helps traders identify potential buying opportunities.
Short Signals: A short signal is triggered when the score crosses below the Short Threshold (default set at -10), signaling a potential downtrend or selling opportunity.
These signals are plotted on the chart, giving traders a clear visual indication of when to enter long or short positions.
Customization and Visualization Options
The Kalman For Loop comes with a range of customization options to give traders full control over how the indicator operates and is displayed on the chart:
Kalman Price Source: Choose the price data used for the Kalman filter (default is the closing price), allowing you to apply the filter to other price points like open, high, or low.
Filter Order: Set the order of the Kalman filter (default is 5), controlling how far back the filter looks in its calculations.
Process and Measurement Noise: Fine-tune the sensitivity of the Kalman filter by adjusting these noise parameters.
Signal Line Width and Colors: Customize the appearance of the signal line and the colors used to indicate long and short conditions.
Threshold Lines: Toggle the display of the long and short threshold lines on the chart for better visual clarity.
The indicator also includes the option to color the candlesticks based on the current trend direction, allowing traders to quickly identify changes in market sentiment. In addition, a background color feature further highlights the overall trend by shading the background in green for long signals and red for short signals.
Trading Applications
The Kalman For Loop is a versatile tool that can be adapted to a variety of trading strategies and markets. Some of the primary use cases include:
Trend Following: The adaptive nature of the Kalman filter helps traders identify the start of new trends with greater precision. The for-loop scoring system quantifies the strength of the trend, making it easier to stay in trades for longer when the trend remains strong.
Mean Reversion: For traders looking to capitalize on short-term reversals, the Kalman filter's ability to smooth price data makes it easier to spot when price has deviated too far from its expected path, potentially signaling a reversal.
Noise Reduction: The Kalman filter excels at filtering out short-term price noise, allowing traders to focus on the broader market movements without being distracted by minor fluctuations.
Risk Management: By providing clear long and short signals based on filtered price data, the Kalman FL helps traders manage risk by entering positions only when the trend is well-defined, reducing the chances of false signals.
Alerts and Automation
To further assist traders, the Kalman For Loop includes built-in alert conditions that notify you when a long or short signal is generated. These alerts can be configured to trigger notifications, helping you stay on top of market movements without constantly monitoring the chart.
Final Thoughts
The Kalman For Loop is a powerful and adaptive trading indicator that combines the precision of the Kalman filter with a for-loop scoring mechanism to generate reliable long and short signals. Whether you’re a trend follower or a reversal trader, this indicator offers the flexibility and accuracy needed to navigate complex markets with confidence.
As always, it’s important to backtest the indicator and adjust the settings to fit your trading style and market conditions. No indicator is perfect, and the Kalman FL should be used alongside other tools and sound risk management practices for the best results.
ICT Panther (By Obicrypto) V1 ICT Panther Indicator: Full and Detailed Description
The ICT Panther Indicator, created by Obicrypto, is an advanced technical analysis tool designed specifically for traders looking to identify key price action events based on institutional trading techniques, particularly in the context of the Inner Circle Trader (ICT) methodology. This indicator helps traders spot market structure breaks, order blocks, and potential trade opportunities driven by institutional behaviors in the market. Here's a detailed breakdown of its features and how it works:
What Does the ICT Panther Indicator Do?
1. Market Structure Breaks (MSB) Identification:
The ICT Panther identifies critical points where the market changes direction, commonly referred to as a break of structure (BoS). When the price breaks above or below certain key levels (based on highs and lows or opens and closes), it signals a potential shift in market sentiment. These break-of-structure points are essential for traders to determine whether the market is likely to continue its trend or reverse.
2. Order Blocks Visualization:
The indicator plots demand (bullish) and supply (bearish) boxes, which represent areas where institutional traders might place significant buy or sell orders. These zones, known as order blocks, are areas where the price tends to pause or reverse, giving traders key insights into potential entry and exit points. The indicator shows these areas graphically as colored boxes on the chart, which can be used to plan trades based on market structure and price action.
3. Pivot Point Detection:
The ICT Panther identifies important pivot points by tracking higher highs and lower lows. These pivot points are critical in determining the strength of a trend and can help traders confirm the direction of the market. The indicator uses a unique algorithm to detect two levels of pivot points:
- First-Order Pivots: Major pivot points where the price makes notable highs and lows.
- Second-Order Pivots: Smaller pivot points, useful for detecting microtrends within the larger market structure.
4. Bullish and Bearish Break of Structure Lines:
When a significant market structure break (BoS) occurs, the indicator will automatically draw red lines (for bearish break of structure) and green lines (for bullish break of structure) at key price levels. These lines help traders quickly see where institutional moves have occurred in the past and where potential future price moves could originate from.
5. Tested and Filled Boxes:
The ICT Panther also has a built-in mechanism to dim previously tested order blocks. When the price tests an order block (returns to a previous demand or supply zone), the box's color dims to indicate that the area has already been tested, reducing its significance. If the price fully fills an order block, the box stops plotting, providing a clear and clutter-free chart.
Key Features
1. Market Structure Break (MSB) Trigger:
- The indicator allows users to select between highs/lows or opens/closes as the trigger for market structure breaks. This flexibility lets traders adjust the indicator to suit their personal trading style or the behavior of specific assets.
2. Order Block Detection and Visualization:
- The tool automatically plots bullish and bearish demand and supply boxes, representing institutional order blocks on the chart. These boxes provide visual cues for areas of potential price action, where institutional traders might be active.
3. Second-Order Pivot Highlighting:
- The ICT Panther offers an option to plot second-order pivots, highlighting smaller pivot points within the larger market structure. These pivots can be helpful for short-term traders who need to react to smaller price movements while still keeping the larger trend in mind.
4. Box Test and Fill Delays:
- Users can configure delays for box tests and box fills, meaning the indicator will only mark a box as tested or filled after a certain number of bars. This prevents false signals and helps confirm that a zone is truly significant in the market.
5. Customization and Visual Clarity:
- The indicator is highly customizable, allowing users to turn on or off various features like:
- Displaying second-order pivots.
- Highlighting candles that broke structure.
- Plotting market structure broke lines.
- Showing or hiding tested and filled demand boxes.
- Setting custom delays for box testing and filling to suit different market conditions.
6. Tested and Filled Order Block Visualization:
- The indicator visually adjusts the tested and filled order blocks, dimming tested zones and removing filled zones to avoid clutter on the chart. This ensures that traders can focus on active trading opportunities without distractions from historical data.
How Does It Work?
1. Detecting Market Structure Breaks (BoS):
- The indicator continuously tracks the market for key price action signals. When the price breaks through previous highs or lows (or opens and closes, depending on your selection), the indicator marks this as a break of structure. This is a critical signal used by institutional traders and retail traders alike to determine potential future price movements.
2. Order Block Identification:
- Whenever a bullish break of structure occurs, the indicator plots a green demand box to show the area where institutional buyers might have placed significant orders. Similarly, for a bearish break of structure, it plots a red supply box representing areas where institutional sellers are active.
3. Pivot Analysis and Tracking:
- As the market moves, the indicator continuously updates first-order and second-order pivot points based on highs and lows. These points help traders identify whether the market is trending or consolidating. Traders can use these pivot points in combination with the order blocks to make informed trading decisions.
4. Box Testing and Filling:
- When the price retests an existing order block, the box dims to show it has been tested. If the price fully fills the box, it is no longer shown, which helps traders focus on the most relevant, untested order blocks.
Benefits for Traders
- Improved Decision-Making: With clear visuals and advanced logic based on institutional trading strategies, this indicator provides a deeper understanding of market structure and price action.
- Reduced Clutter: The indicator intelligently manages the display of order blocks and pivot points, ensuring that traders focus only on the most relevant information.
- Adaptability: Whether you are a swing trader or a day trader, the ICT Panther can be adjusted to fit your trading style, offering robust and flexible tools for tracking market structure and order blocks.
- Institutional Edge: By identifying institutional-level order blocks and market structure breaks, traders using this indicator can trade in line with the strategies of large market participants.
Who Should Use the ICT Panther Indicator?
This indicator is ideal for:
- Crypto, Forex, and Stock Traders who want to incorporate institutional trading concepts into their strategies.
- Technical Analysts looking for precise tools to measure the market structure and price action.
- ICT Traders who follow the Inner Circle Trader methodology and want an advanced tool to automate and enhance their analysis.
- Price Action Traders seeking a reliable indicator to track pivot points, order blocks, and market structure breaks.
The ICT Panther Indicator is a powerful, versatile tool that brings institutional trading techniques to the fingertips of retail traders. Whether you are looking to identify key market structure breaks, order blocks, or crucial pivot points, this indicator offers detailed visualizations and customizable options to help you make more informed trading decisions. With its ability to track the activities of institutional traders, the ICT Panther Indicator equips traders with the insights needed to stay ahead of the market and trade with confidence.
With the ICT Panther Indicator, traders can follow the movements of institutional money, making it easier to predict market direction and capitalize on high-probability trading opportunities.
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Cumulative Volume Delta Strategy | Flux Charts💎 GENERAL OVERVIEW
Introducing the Cumulative Volume Delta Strategy (CVDS) Indicator, an advanced tool designed to enhance trading strategies by identifying potential trend reversals through volume dynamics. This script features integrated order block detection, Fair Value Gaps (FVGs), and a dynamic take-profit (TP) and stop-loss (SL) system. For an in-depth understanding of the strategy, refer to the "HOW DOES IT WORK?" section below.
Features of the new Cumulative Volume Delta Strategy (CVDS) Indicator :
Cumulative Volume Delta-based Strategy
Order Block and Fair Value Gap (FVG) Entry Methods
Dynamic TP/SL System
Customizable Risk Management Settings
Alerts for Buy, Sell, TP, and SL Signals
📌 HOW DOES IT WORK ?
The CVDS indicator operates by tracking the net volume difference between buyers and sellers to identify divergences that could indicate potential trend reversals. A cumulative volume delta (CVD) calculation is employed to measure the intensity of these divergences in relation to price movements. The net volume sum is reset every trading day (can be changed from the settings using the anchor period option), and divergences are detected when the cumulative volume crosses the 0-line over or under.
Once a significant divergence is detected, the indicator identifies breakout points, confirmed by either Fair Value Gaps (FVGs) or Order Blocks (OBs). Depending on your chosen entry mode, the indicator will trigger a buy or sell entry when the confirmation signal aligns with the breakout direction. Alerts for Buy, Sell, Take-Profit, and Stop-Loss are available.
Note that the indicator cannot run on 1-minute and 1-second charts, as it needs to get data from a lower timeframe. 1-minutes & 1-second timeframes are the minimum timeframes in their ranges respectively.
🚩 UNIQUENESS
What sets this indicator apart is the combination of volume divergence analysis with advanced price action tools like Fair Value Gaps (FVGs) and Order Blocks (OBs). The ability to choose between these methods, along with a dynamic TP/SL system that adapts based on volatility, provides flexibility for traders in any market condition. The backtesting dashboard provides metrics about the performance of the indicator. You can use it to tune the settings for best use in the current ticker. The CVD-based strategy ensures that trades are initiated only when meaningful divergences between volume and price occur, filtering out noise and increasing the likelihood of profitable trades.
⚙️ SETTINGS
1. General Configuration
Anchor Period: Time anchor period used in CVD calculation. This is essentially the period that the volume delta sum will be reset. Lower timeframes may result in more entries at the cost of less reliable results.
Entry Mode: Choose between FVGs or OBs to trigger your entries based on the confirmation signals.
Retracement Requirement: Enable to confirm the entry after a retracement toward the FVG or OB.
2. Fair Value Gaps
FVG Sensitivity: Modify the sensitivity of FVG detection, allowing for more or fewer gaps to be considered valid.
3. Order Blocks (OB)
Swing Length: Define the swing length to identify OB formations. Shorter lengths find smaller OBs, while longer lengths detect larger structures.
4. TP / SL
TP / SL Method:
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk: The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
ICT Professional Accumulation DistributionICT Professional Accumulation Distribution (ICT AD) provides a x-ray view into market accumulation and distribution. You can literally see the institutions at work.
The indicator consists of two cumulative lines derived from:
Cumulative change from open to close
Cumulative change from previous close to new open
By overlaying these two cumulative lines, you can detect real meaningful divergence that is narrative based not mathematically derived. You're seeing the real works of algorithms in play working in this area.
These divergences are only useful at extremes (topping or bottoming formations), not while trending. It will probably confirm your suspicion about making a important high or low.
This works on all timeframes but is most impactful on the daily.
How to use:
Method 1:
Enable the option for "Show Open vs Close."
Calculate the shift by subtracting the "Open vs Close" line value from the ICT Accumulation/Distribution (AD) line value.
Look for divergences between the two cumulative lines.
Method 2:
Switch the chart's display mode to "Line View" (representing the Open vs Close).
look for divergences between the line chart and the ICT AD line.
Mars Signals - SSL Trend AnalyzerIntroduction
The "Mars Signals - Precision Trend Analyzer with SSL Baseline & Price Action Zones" is a comprehensive technical analysis tool designed for traders seeking to enhance their market analysis and trading strategies. This indicator integrates multiple advanced trading concepts, including dynamic moving averages, trend detection algorithms, momentum indicators, volume analysis, higher timeframe confirmation, candlestick pattern recognition, and precise price action zones. By combining these elements, the indicator aims to provide clear and actionable buy and sell signals, helping traders to make informed decisions in various market conditions.
Core Components and Functionality
1.Dynamic Baseline Calculation
Moving Average Types: The indicator allows users to select from a variety of moving average types for the baseline calculation, including Simple Moving Average (SMA), Exponential Moving Average (EMA), Hull Moving Average (HMA), Weighted Moving Average (WMA), Double EMA (DEMA), Triple EMA (TEMA), Least Squares Moving Average (LSMA), Triangular Moving Average (TMA), Kijun (from Ichimoku Kinko Hyo), and McGinley's Dynamic.
Baseline Length: Users can customize the length of the moving average, providing flexibility to adjust the sensitivity of the baseline to market movements.
Signal Line Generation: The indicator computes a dynamic signal line based on the relationship between the close price and the moving averages of the high and low prices. This signal line adapts to market volatility and trend changes.
2.SSL Baseline Integration
SSL Baseline: In addition to the primary baseline, the indicator incorporates an SSL (Semaphore Signal Level) Baseline, which further refines trend detection by considering the highs and lows over a specified period.
Dual Confirmation: The combination of the primary baseline and the SSL baseline enhances the reliability of the trend signals by requiring agreement between both baselines before generating a signal.
3.Momentum and Trend Filters
Relative Strength Index (RSI): The indicator uses the RSI to assess the momentum of price movements, filtering out signals that occur during overbought or oversold conditions.
Moving Average Convergence Divergence (MACD): The MACD is employed to identify the direction and strength of the trend, adding another layer of confirmation to the signals.
Average Directional Index (ADX): The ADX measures the strength of the trend, ensuring that signals are generated only when the market shows significant directional movement.
4.Volume Analysis
Volume Filter: An optional volume filter compares the current volume to its moving average, allowing traders to focus on signals that occur during periods of higher market activity.
5.Higher Timeframe Confirmation
Multi-Timeframe Analysis: The indicator can incorporate data from a higher timeframe, comparing the current price to the higher timeframe's baseline and signal line. This feature helps traders align their trades with the broader market trend.
6.Candlestick Pattern Recognition
Bullish Patterns: The indicator detects bullish patterns such as Bullish Engulfing, Piercing Line, Hammer, and Doji.
Bearish Patterns: It also identifies bearish patterns like Bearish Engulfing, Dark Cloud Cover, Shooting Star, and Doji.
Pattern Prioritization: The patterns are prioritized to highlight the most significant formations, which can serve as additional confirmation for trade entries and exits.
7.Price Action Zones
Support and Resistance Levels: The indicator automatically identifies pivot highs and lows to establish dynamic support and resistance levels.
Zone Visualization: It draws shaded rectangles on the chart to represent these zones, providing a clear visual aid for potential reversal or breakout areas.
ATR-Based Zone Width: The zones' thickness is dynamically calculated using the Average True Range (ATR), adjusting to the current market volatility.
Background Coloring: The chart background changes color when the price is above the maximum resistance or below the minimum support, alerting traders to significant price movements.
Interpreting the Signals
1.Buy Signals
Conditions:
Price crosses above the signal line.
RSI is below 70 (not overbought).
MACD line is above the signal line (indicating bullish momentum).
ADX is above the user-defined threshold (default is 20), confirming a strong trend.
(Optional) Volume is above its moving average if the volume filter is enabled.
(Optional) Price is above the higher timeframe baseline and signal line if the higher timeframe filter is enabled.
(Optional) A bullish candlestick pattern is detected if the candlestick pattern filter is enabled.
Visual Indicators:
An upward-pointing label with the text "BUY" appears below the price bar.
The baseline and SSL baseline lines turn to colors indicating bullish conditions.
2.Sell Signals
Conditions:
Price crosses below the signal line.
RSI is above 30 (not oversold).
MACD line is below the signal line (indicating bearish momentum).
ADX is above the user-defined threshold, confirming a strong trend.
(Optional) Volume is above its moving average if the volume filter is enabled.
(Optional) Price is below the higher timeframe baseline and signal line if the higher timeframe filter is enabled.
(Optional) A bearish candlestick pattern is detected if the candlestick pattern filter is enabled.
Visual Indicators:
A downward-pointing label with the text "SELL" appears above the price bar.
The baseline and SSL baseline lines turn to colors indicating bearish conditions.
3.Support and Resistance Zones
Interpretation:
Resistance Zones: Represent areas where the price may face selling pressure. A break above these zones can signal a strong bullish move.
Support Zones: Represent areas where the price may find buying interest. A break below these zones can signal a strong bearish move.
Background Color:
The background turns red when the price is above the maximum resistance, indicating potential overextension.
The background turns green when the price is below the minimum support, indicating potential undervaluation.
Effective Usage Strategies
1.Customization
Adjusting Baseline and SSL Settings: Traders should experiment with different moving average types and lengths to match their trading style and the specific characteristics of the asset being analyzed.
Filtering Parameters: Modify RSI, MACD, and ADX settings to fine-tune the sensitivity of the signals.
Volume and Higher Timeframe Filters: Enable these filters to add robustness to the signals, especially in volatile markets or when trading higher timeframes.
2.Combining with Other Analysis
Fundamental Analysis: Use the indicator in conjunction with fundamental insights to validate technical signals.
Risk Management: Always apply proper risk management techniques, such as setting stop-loss and take-profit levels based on the support and resistance zones provided by the indicator.
3.Backtesting
Historical Analysis: Utilize the indicator's settings to backtest trading strategies on historical data, helping to identify the most effective configurations before applying them in live trading.
4.Monitoring Market Conditions
Volatility Awareness: Pay attention to the ATR and ADX readings to understand market volatility and trend strength, adjusting strategies accordingly.
Event Considerations: Be cautious around major economic announcements or events that may impact market behavior beyond technical indications.
Indicator Inputs and Customization Options
Baseline Type and Length: Select from multiple moving average types and specify the period length.
ADX Settings: Adjust the length, smoothing, and threshold for trend strength confirmation.
Volume Filter: Enable or disable the volume confirmation filter.
Higher Timeframe Filter: Choose to incorporate higher timeframe analysis and specify the desired timeframe.
Candlestick Patterns: Enable or disable the detection of candlestick patterns for additional signal confirmation.
SSL Baseline Type and Length: Customize the SSL baseline settings separately from the primary baseline.
Price Action Zones Settings:
Zone Thickness: Adjust the visual thickness of the support and resistance zones.
Lookback Period: Define how far back the indicator looks for pivot points.
ATR Multiplier for Zone Width: Set the multiplier for ATR to determine the dynamic width of the zones.
Maximum Number of Zones: Limit the number of support and resistance zones displayed.
Pivot Bars: Customize the number of bars to the left and right used for identifying pivot highs and lows.
Conclusion
The "Mars Signals - Precision Trend Analyzer with SSL Baseline & Price Action Zones" is a versatile and powerful tool that amalgamates essential technical analysis techniques into a single, user-friendly indicator. By providing clear visual signals and incorporating multiple layers of confirmation, it assists traders in identifying high-probability trading opportunities. Whether you are a day trader, swing trader, or long-term investor, this indicator can be tailored to suit your trading style and enhance your decision-making process.
To maximize the benefits of this indicator:
Understand Each Component: Familiarize yourself with how each part of the indicator contributes to the overall signal generation.
Customize Thoughtfully: Adjust the settings based on the asset class, market conditions, and your risk tolerance.
Practice Diligently: Use demo accounts or paper trading to practice and refine your strategy before deploying it in live markets.
Stay Informed: Continuously educate yourself on technical analysis and market dynamics to make the most informed decisions.
Disclaimer
Trading financial markets involves risk, and past performance is not indicative of future results. This indicator is a tool to aid in analysis and should not be the sole basis for any trading decision. Always conduct your own research and consider consulting with a licensed financial advisor.
Candle Range Theory | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Candle Range Theory Indicator! This powerful tool offers a strategy built around the Candle Range Theory, which analyzes market movements through the relative size and structure of price candles. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new Candle Range Theory Indicator :
Implementation of the Candle Range Theory
FVG & Order Block Entry Methods
2 Different TP / SL Methods
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The Candle Range Theory (CRT) indicator operates by identifying significant price movements through the relative size and structure of candlesticks. A key part of the strategy is determining large candles based on their range compared to the Average True Range (ATR) in a higher timeframe. Once identified, a breakout of either the high wick or the low wick of the large candle is required. This breakout is considered a liquidity grab. After that, the indicator waits for confirmation through Fair Value Gaps (FVGs) or Order Blocks (OBs). The confirmation structure must be the opposite direction of the breakout, for example if the high wick is broken, a bearish FVG is required for the short entry. After a confirmation signal is received, the indicator will trigger entry points based on your chosen entry method (FVG or OB), and exit points will be calculated using either a dynamic ATR-based TP/SL method or fixed percentages. Alerts for Buy, Sell, Take-Proft, and Stop-Loss are available.
🚩 UNIQUENESS
This indicator stands out because it combines two highly effective entry methods: Fair Value Gaps (FVGs) and Order Blocks (OBs). You can choose between these strategies depending on market conditions. Additionally, the dynamic TP/SL system uses the ticker's volatility to automatically calculate stop-loss and take-profit targets. The backtesting dashboard provides metrics about the performance of the indicator. You can use it to tune the settings for best use in the current tiker. The Candle Range Theory approach offers more flexibility compared to traditional indicators, allowing for better customization and control based on your risk tolerance.
⚙️ SETTINGS
1. General Configuration
Higher Timeframe: Customize the higher timeframe for analysis. Recommended combinations include M15 -> H4, H4 -> Daily, Daily -> Weekly, and Weekly -> Monthly.
HTF Candle Size: Define the size of the higher timeframe candles as Big, Normal, or Small to filter valid setups based on their range relative to ATR.
Entry Mode: Choose between FVGs and Order Blocks for your entry triggers.
Require Retracement: Enable this option if you want a retracement to the FVG or OB for entry confirmation.
Show HTF Candle Lines: Toggle to display the higher timeframe candle lines for better visual clarity.
2. Fair Value Gaps
FVG Sensitivity: You may select between Low, Normal, High or Extreme FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivities resulting in spotting bigger FVGs, and higher sensitivities resulting in spotting all sizes of FVGs.
3. Order Blocks
Swing Length: Swing length is used when finding order block formations. Smaller values will result in finding smaller order blocks.
4. TP / SL
TP / SL Method:
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk: The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
MomentumSignal Kit RSI-MACD-ADX-CCI-CMF-TSI-EStoch// ----------------------------------------
// Description:
// ----------------------------------------
// MomentumKit RSI/MACD-ADX-CCI-CMF-TSI-EStoch Suite is a comprehensive momentum indicator suite designed to provide robust buy and sell signals through the consensus of multiple normalized momentum indicators. This suite integrates the following indicators:
// - **Relative Strength Index (RSI)**
// - **Stochastic RSI**
// - **Moving Average Convergence Divergence (MACD)** with enhanced logic
// - **True Strength Index (TSI)**
// - **Commodity Channel Index (CCI)**
// - **Chaikin Money Flow (CMF)**
// - **Average Directional Index (ADX)**
// - **Ehlers' Stochastic**
//
// **Key Features:**
// 1. **Normalization:** Each indicator is normalized to a consistent scale, facilitating easier comparison and interpretation across different momentum metrics. This uniform scaling allows traders to seamlessly analyze multiple indicators simultaneously without the confusion of differing value ranges.
//
// 2. **Consensus-Based Signals:** By combining multiple indicators, MomentumKit generates buy and sell signals based on the agreement among various momentum measurements. This multi-indicator consensus approach enhances signal reliability and reduces the likelihood of false positives.
//
// 3. **Overlap Analysis:** The normalization process aids in identifying overlapping signals, where multiple indicators point towards a potential change in price or momentum. Such overlaps are strong indicators of significant market movements, providing traders with timely and actionable insights.
//
// 4. **Enhanced Logic for MACD:** The MACD component within MomentumKit utilizes enhanced logic to improve its responsiveness and accuracy in detecting trend changes.
//
// 5. **Debugging Features:** MomentumKit includes advanced debugging tools that display individual buy and sell signals generated by each indicator. These features are intended for users with technical and programming skills, allowing them to:
// - **Visualize Signal Generation:** See real-time buy and sell signals for each integrated indicator directly on the chart.
// - **Adjust Signal Thresholds:** Modify the criteria for what constitutes a buy or sell signal for each indicator, enabling tailored analysis based on specific trading strategies.
// - **Filter and Manipulate Signals:** Enable or disable specific indicators' contributions to the overall buy and sell signals, providing flexibility in signal generation.
// - **Monitor Indicator Behavior:** Utilize debug plots and labels to understand how each indicator reacts to market movements, aiding in strategy optimization.
//
// **Work in Progress:**
// MomentumKit is continuously evolving, with ongoing enhancements to its algorithms and user interface. Current debugging features are designed to offer deep insights for technically adept users, allowing for extensive customization and fine-tuning. Future updates aim to introduce more user-friendly interfaces and automated optimization tools to cater to a broader audience.
//
// **Usage Instructions:**
// - **Visibility Controls:** Users can toggle the visibility of individual indicators to focus on specific momentum metrics as needed.
// - **Parameter Adjustments:** Each indicator comes with customizable parameters, allowing traders to fine-tune the suite according to their trading strategies and market conditions.
// - **Debugging Features:** Enable the debugging mode to visualize individual indicator signals and adjust their contribution to the overall buy/sell signals. This requires a basic understanding of the underlying indicators and their operational thresholds.
//
// **Benefits:**
// - **Simplified Analysis:** Normalization simplifies the process of analyzing multiple indicators, making it easier to identify consistent signals across different momentum measurements.
// - **Improved Decision-Making:** Consensus-based signals backed by multiple normalized indicators provide a higher level of confidence in trading decisions.
// - **Versatility:** Suitable for various trading styles and market conditions, MomentumKit offers a versatile toolset for both novice and experienced traders.
//
// **Technical Requirements:**
// - **Programming Knowledge:** To fully leverage the debugging and signal manipulation features, users should possess a foundational understanding of Pine Script and the mechanics of momentum indicators.
// - **Customization Skills:** Ability to adjust indicator parameters and debug filters to align with specific trading strategies.
//
// **Disclaimer:**
// This indicator suite is intended for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own analysis or consult a qualified financial advisor before making trading decisions.
Motive Wave Scanner [Trendoscope®]Motive Wave Scanner is a simple algorithm to find out motive waves as per the rules of Elliott Wave theory.
It is an extension to our previous open source script Interactive Motive Wave Checklist which provides interactive capability to select six points of a five wave formation. Once users select them, the rules of motive waves are applied to manually selected points to highlight them as either diagonal wave, motive wave or none.
This indicator does the same. But, instead of requesting the pivots manually from the user, the indicator automatically picks and scans them through zigzag.
We have already published a similar script as protected source. But, due to some changes in the pine engine, there have been few issues in the runtime. In this publication, we not only address those runtime issues but also making it open source for the users to make use of the source code and enhance it further.
🎲 What are motive waves
Motive waves are strong upward or downward movement with 5 subwaves.
Motive Wave in the upward direction will start with Swing High, Ends with Swing High and consists of 3 Higher Highs and 2 Higher Lows representing strong upward trend.
Motive Wave in the downward direction will start with Swing Low, Ends with Swing low and consists of 3 Lower Lows and 2 Lower Highs representing strong downward trend.
🎲 Types of Motive Waves
Motive Waves are broadly classified by two types:
Impulse Waves
Diagonal Waves
Diagonal Waves are further classified into Contracting and Expanding Diagonals. These can fall into the category of either leading diagonal and ending diagonal.
🎲 Rules of Motive Waves
🎯 Generic Rule of any motive waves are as follows
Should consist of 5 alternating waves. (Swing High followed by Swing low and vice versa)
This can start from Swing High and end in Swing High or start from Swing Low and end in Swing Low of a zigzag.
Wave-2 should not move beyond Wave-1. This means, the Wave-2 is always shorter than Wave-1 with respect to distance between the price of start and end.
Wave-3 always moves beyond Wave-1. This means, the Wave-3 is always longer than Wave-2 in terms of price
Among Wave-1, Wave-3, and Wave-5, Wave-3 is never the shortest one. This means, either Wave-1 or Wave-5 can be longer than Wave-3 but not both. Wave-3 can also be longest among the three.
Here is the pictorial representation of the rules of the Motive Waves
For a wave to be considered as motive wave, it also needs to follow the rules of either impulse or diagonal waves.
🎯 Rules for a 5 wave pattern to be considered as Impulse Wave are:
Wave-4 never overlaps with Wave-1 price range
Wave-1, Wave-3 and Wave-5 should not be either expanding or contracting. Meaning, we cannot have Wave-1 > Wave-3 > Wave-5 , and we cannot have Wave-1 < Wave-3 < Wave-5
Pictorial representation of the impulse wave rules are as below:
🎯 Rules for the Diagonal Waves are as follows
Contrary to the first rule of impulse wave, in case of diagonal wave, Wave-4 always overlaps with Wave-1 price range. But, it will not go beyond Wave-3
Waves are progressively expanding or contracting - Wave1 > Wave3 > Wave5 and Wave2 > Wave4 to be contracting diagonal. Wave1 < Wave3 < Wave5 and Wave2 < Wave4 to be expanding diagonal wave.
Pictorial representation of the Contracting Diagonal Wave is as below. Here, the Wave-1, Wave-3 and Wave-5 are in contracting formation.
Pictorial representation of the Expanding Diagonal Wave is as below. Here, the Wave-1, Wave-3 and Wave-5 are in expanding formation.
🎲 Indicator Settings
Indicator settings are defined as below:
Repaint Warning : If Repaint is selected, the indicator will throw a runtime error after certain bars or when alerts are set. This is due to some pine internal issue. At present, we do not have any solution for this until the internal issue is resolved by Tradingview Pine Team.
MTF Regression with Forecast### **MTF Regression with Forecast, Treasury Yield, Additional Variable & VWAP Filter - Enhanced with Long Regression**
Unlock advanced market insights with our **MTF Regression** indicator, meticulously designed for traders seeking comprehensive multi-timeframe analysis combined with powerful forecasting tools. Whether you're a seasoned trader or just starting out, this indicator offers a suite of features to enhance your trading strategy.
#### **🔍 Key Features:**
- **Multi-Timeframe (MTF) Regression:**
- **Fast, Slow, & Long Regressions:** Analyze price trends across multiple timeframes to capture both short-term movements and long-term trends.
- **Customizable Price Inputs:**
- **Flexible Price Selection:** Choose between Close, Open, High, or Low prices to suit your trading style.
- **Price Transformation:** Option to apply Exponential Moving Averages (EMA) for smoother trend analysis.
- **Diverse Regression Methods:**
- **Multiple Algorithms:** Select from Linear, Exponential, Hull Moving Average (HMA), Weighted Moving Average (WMA), or Spline regressions to best fit your analysis needs.
- **Integrated External Data:**
- **10-Year Treasury Yield:** Incorporate macroeconomic indicators to refine regression accuracy.
- **Additional Variables:** Enhance your analysis by integrating data from other tickers (e.g., NASDAQ:AAPL).
- **Advanced Filtering Options:**
- **VWAP Filter:** Align signals with the Volume Weighted Average Price for improved trade entries.
- **Price Action Filter:** Ensure price behavior supports the generated signals for higher reliability.
- **Enhanced Signal Generation:**
- **Bullish & Bearish Signals:** Identify potential trend reversals and continuations with clear visual cues.
- **Predictive Signals:** Forecast future price movements with forward-looking arrows based on regression slopes.
- **Slope & Acceleration Thresholds:** Customize minimum slope and acceleration levels to fine-tune signal sensitivity.
- **Forecasting Capabilities:**
- **Projection Lines:** Visualize future price trends by extending regression lines based on current slope data.
- **User-Friendly Interface:**
- **Organized Settings Groups:** Easily navigate through price inputs, regression settings, integration options, and more.
- **Customizable Alerts:** Stay informed with configurable alerts for bullish, bearish, and predictive signals.
#### **📈 Why Choose MTF Regression Indicator?**
- **Comprehensive Analysis:** Combines multiple regression techniques and external data sources for a well-rounded market view.
- **Flexibility:** Highly customizable to fit various trading strategies and preferences.
- **Enhanced Decision-Making:** Provides clear signals and forecasts to support informed trading decisions.
- **Efficiency:** Optimized to deliver reliable performance without overloading your trading platform.
Elevate your trading game with the **MTF Regression with Forecast, Treasury Yield, Additional Variable & VWAP Filter** indicator. Harness the power of multi-timeframe analysis and predictive forecasting to stay ahead in the dynamic markets.
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*Feel free to reach out for more information or support. Happy Trading!*
HTF Inversion Fair Value Gap | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Higher Timeframe Inversion Fair Value Gaps (IFVG) indicator! Inversion Fair Value Gaps occur when a Fair Value Gap becomes invalidated. They reverse the role of the original Fair Value Gap, making a bullish zone bearish and vice versa. This indicator finds the latest IFVG in a higher timeframe and renders it in the current chart with it's divergence. For more information about the process, read the "HOW DOES IT WORK" section of the description.
Features of the new Higher Timeframe IFVG Indicator :
Renders The Higher Timeframe IFVG
Invalidation Borders
Variety Of Zone Detection / Sensitivity / Filtering / Invalidation Settings
High Customizability
🚩 UNIQUENESS
This indicator lets you take a look at the bigger picture by rendering the latest IFVG in a higher timeframe. You can see the current IFVG divergence to see how is the price action acting around the IFVG. You also can customize the FVG Filtering method, FVG & IFVG Zone Invalidation, Detection Sensitivity etc. according to your needs to get the best performance from the indicator.
📌 HOW DOES IT WORK ?
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. An Inversion Fair Value Gap is when a FVG becomes invalidated, thus reversing the direction of the FVG.
This indicator then renders the IFVG in a higher timeframe in your chart like this :
The opaque dashed lines at the top and the bottom of the IFVG indicate the bars that formed the original FVG. The middle dashed line that is semi-transparent shows the candlestick that invalidated the original FVG, thus created the current IFVG. The vertical solid top & bottom wicks indicate the current divergence of the highest & lowest points to the current IFVG.
The IFVGs can act as strong support & resistance points, depending on their creation volume and invalidation volume. Traders can use them for confirmation signals to their positions.
⚙️ SETTINGS
1. General Configuration
Higher Timeframe -> The higher timeframe to detect latest IFVG from. Keep in mind that his setting must be higher than the current timeframe.
IFVG Zone Invalidation -> Select between Wick & Close price for IFVG Zone Invalidation.
2. Fair Value Gaps
FVG Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivities resulting in spotting bigger FVGs, and higher sensitivities resulting in spotting all sizes of FVGs.
3. Dasboard
You can enable / disable the mitigation dashboard and customize it here.
4. Customization
Offset -> The number of candlesticks the IFVG will be rendered to the right of the latest bar.
Width -> The width of the rendered IFVG in candlesticks.
Rolling Straddle PremiumScript is Basically intended to provide insight's on the Rolling Straddle premium for the selected index based on the input settings.
Important thing to consider for the script to work seamlessly:
Specify the LTP in the input field (need not be very accurate)
Specify the Expiry Date for the Option Strike.
Ensure Profile matches to the chart script (Index Script)
Note: Zones marked in Blue, is the max level that indicator can track the option prices. beyond which it may fail to track, during such time consider reloading the indicator with Latest LTP .
Labels on the chart indicate that If i had shorted the Straddle, what would be my current position of that Straddle. however the rational behind shorting is only the pivot high points (not sure if this is right or wrong! )
Note On Labels: Labels are delayed basis the pivot point candles specified in the indicator settings.
EN: Entry Price (Straddle Premium) of the Strike Specified.
Cur: Current Price ( Current Straddle Premium ) of the Strike Specified.
SH: Max Straddle Premium ( Increase in Premium ) since position is active.
SL: Min Straddle Premium ( Premium Erosion ) since position is active.
Auto Signal Buy/SellAuto Signal Buy/Sell with Time Filter and Dynamic ZLEMA (GMT+2) 🌟
Are you looking for an indicator that combines efficiency and simplicity while integrating advanced elements like SuperTrend, ZLEMA (Zero Lag EMA), and a MACD DEMA for clear and precise buy/sell signals? 📈 Introducing Auto Signal Buy/Sell, the ultimate indicator designed for intraday and swing traders, optimized for market hours in GMT+2.
🛠️ Key Features:
- **Advanced SuperTrend**: Follow the dominant trend with a robust SuperTrend, adjustable to your preferences (customizable multiplier and period).
- **Dynamic ZLEMA**: Get a zero-lag EMA curve with a visual signal. Additionally, the ZLEMA turns blue when it’s nearly flat, helping you easily spot market consolidation phases.
- **MACD DEMA**: An enhanced version of the traditional MACD, using the Double EMA to capture more responsive buy/sell cross signals. 📊
- **Buy/Sell Signals**: Visual arrows clearly indicate potential entry and exit points on your chart, filtered by MACD crossovers and the SuperTrend trend.
- **Smart Time Filter (GMT+2)**: This script adapts to trading hours (customizable) and only displays signals during trading hours. The background turns light blue when the market is closed, preventing confusion during inactivity periods. 🕒
⚙️ Full Customization:
- Adjustable trading hours (default 9 AM to 5 PM in GMT+2) with dynamic background indicating when markets are closed.
- Flexible settings for SuperTrend, ZLEMA, and MACD DEMA to suit any strategy.
🎯 Why Choose This Indicator?
- Optimized for maximum precision with advanced algorithms like ZLEMA and DEMA.
- Easy to use: it provides clear, visual signals directly on the chart—no need to decipher complex indicators.
- A complete intraday and swing indicator that combines trend analysis and signal filtering with precise market hours.
🚀 Boost Your Trading!
Add this indicator to your toolkit and enhance your decision-making. Thanks to its intuitive interface and clear visual signals, you can trade with confidence. 💡
Don't forget to like 👍 and comment if you find this indicator useful! Your feedback helps us continue improving such tools. 🚀
📌 How to Use:
1. Add the indicator to your chart.
2. Adjust the SuperTrend and ZLEMA settings to suit your needs.
3. Follow the buy/sell signals and watch for the light blue background outside of trading hours.
4. Trade effectively and stay in control, even during consolidation phases.
buysellsignal-yashgode9The "buysellsignal-yashgode9" indicator utilizes a signal library to generate buy and sell signals based on price action, allowing traders to make informed decisions in their trading strategies.
Overview of the Indicator
The "buysellsignal-yashgode9" indicator is a technical analysis tool that identifies potential buying and selling points in the market. It does this by leveraging a signal library imported from `yashgode9/signalLib/2`, which contains predefined algorithms for analyzing market trends based on specified parameters.
Key Features
1.Input Parameters: The indicator allows users to customize several parameters:
- Depth: Determines the number of bars to look back for price analysis (default is 150).
- Deviation: Sets the threshold for price movement (default is 120).
- Backstep: Defines how many bars to step back when evaluating signals (default is 100).
- Label Transparency: Adjusts the transparency of labels displayed on the chart.
- Color Customization: Users can specify colors for buy and sell signals.
2.Signal Generation: The core functionality is driven by the `signalLib.signalLib` function, which analyzes the low and high prices over the specified depth and deviation. It returns a direction indicator along with price points (`zee1` and `zee2`) that are used to determine whether to issue a buy or sell signal.
3. Labeling and Visualization:
- The indicator creates labels on the chart to indicate buy and sell points based on the direction of the signal.
- Labels are color-coded according to user-defined settings, enhancing visual clarity.
- The indicator also manages the deletion of previous labels and lines to avoid clutter on the chart.
4. Repainting Logic: The script includes a repainting option, allowing it to update signals in real-time as new price data comes in. This can be beneficial for traders who want to see the most current signals but may also lead to misleading signals if not used cautiously.
Conclusion:-
The "buysellsignal-yashgode9" indicator is a versatile tool for traders looking to enhance their decision-making process by identifying key market entry and exit points. By allowing customization of parameters and colors, it caters to individual trading preferences while providing clear visual signals based on price action analysis. This indicator is particularly useful for those who rely on technical analysis in their trading strategies, as it combines automated signal generation with user-friendly visual cues.
Benefits and Applications:
1.Intraday Trading: The "buysellsignal-yashgode9" indicator is particularly well-suited for intraday trading, as it provides accurate and timely buy and sell signals based on the current market dynamics.
2.Trend-following Strategies: Traders who employ trend-following strategies can leverage the indicator's ability to identify the overall market direction, allowing them to align their trades with the dominant trend.
3.Swing Trading: The dynamic price tracking and signal generation capabilities of the indicator can be beneficial for swing traders, who aim to capture medium-term price movements.
Security Measures:
1. The code includes a security notice at the beginning, indicating that it is subject to the Mozilla Public License 2.0, which is a reputable open-source license.
2. The code does not appear to contain any obvious security vulnerabilities or malicious content that could compromise user data or accounts.
NOTE:- This indicator is provided under the Mozilla Public License 2.0 and is subject to its terms and conditions.
Disclaimer: The usage of "buysellsignal-yashgode9" indicator might or might not contribute to your trading capital(money) profits and losses and the author is not responsible for the same.
IMPORTANT NOTICE:
While the indicator aims to provide reliable buy and sell signals, it is crucial to understand that the market can be influenced by unpredictable events, such as natural disasters, political unrest, changes in monetary policies, or economic crises. These unforeseen situations may occasionally lead to false signals generated by the "buysellsignal-yashgode9" indicator.
Users should exercise caution and diligence when relying on the indicator's signals, as the market's behavior can be unpredictable, and external factors may impact the accuracy of the signals. It is recommended to thoroughly backtest the indicator's performance in various market conditions and to use it as one of the many tools in a comprehensive trading strategy, rather than solely relying on its output.
Ultimately, the success of the "buysellsignal-yashgode9" indicator will depend on the user's ability to adapt it to their specific trading style, market conditions, and risk management approach. Continuous monitoring, analysis, and adjustment of the indicator's settings may be necessary to maintain its effectiveness in the ever-evolving financial markets.
Author:- yashgode9
PineScript-version:- 5
This indicator aims to enhance trading decision-making by combining DEPTH, DEVIATION, BACKSTEP with custom signal generation, offering a comprehensive tool for traders seeking clear buy and sell signals on the TradingView platform.
[DarkTrader] Strong High LowThe Strong High Low indicator calculates strong high and low pivots based on price action and the Average True Range (ATR). The calculation for both the high and low pivots involves analyzing recent candle behavior to identify significant levels where price reversal is likely. Specifically, it looks for consecutive bearish or bullish candles to determine whether a strong high or low has been established.
Indicator In Use :
For strong highs, the indicator checks if three consecutive candles are bearish, meaning their closing price is lower than their opening price. It further examines prior candles to confirm that they followed a specific pattern where a reversal could occur. If one of these earlier candles closed higher than it opened, the indicator assumes that this was a strong high, and it records either the high of the second or third candle from the pattern, depending on their relationship to each other.
Similarly, for strong lows, the indicator searches for three consecutive bullish candles where the close is higher than the open. The algorithm then reviews prior candles in the sequence to ensure that the market condition supports a potential low pivot. If an earlier candle closes lower than it opens, it marks this as a strong low. The final low point for the pivot is chosen based on a comparison between the second and third candles of the pattern.
Once the high and low pivots are determined, the indicator adjusts these levels using the ATR value. The ATR is added to the strong high pivot and subtracted from the strong low pivot to create slightly modified levels. This helps accommodate market volatility by widening the range of the high and low pivots, making the levels more reliable in reflecting potential reversal zones.
Finally, the strong high and low pivot lines are drawn on the chart, extending both to the left and right of the current price, based on the user-defined offset values. These lines give a visual cue of where key resistance and support levels exist, with labels marking the exact pivot values for easy reference.
[ALGOA+] Markov Chains Library by @metacamaleoLibrary "MarkovChains"
Markov Chains library by @metacamaleo. Created in 09/08/2024.
This library provides tools to calculate and visualize Markov Chain-based transition matrices and probabilities. This library supports two primary algorithms: a rolling window Markov Chain and a conditional Markov Chain (which operates based on specified conditions). The key concepts used include Markov Chain states, transition matrices, and future state probabilities based on past market conditions or indicators.
Key functions:
- `mc_rw()`: Builds a transition matrix using a rolling window Markov Chain, calculating probabilities based on a fixed length of historical data.
- `mc_cond()`: Builds a conditional Markov Chain transition matrix, calculating probabilities based on the current market condition or indicator state.
Basically, you will just need to use the above functions on your script to default outputs and displays.
Exported UDTs include:
- s_map: An UDT variable used to store a map with dummy states, i.e., if possible states are bullish, bearish, and neutral, and current is bullish, it will be stored
in a map with following keys and values: "bullish", 1; "bearish", 0; and "neutral", 0. You will only use it to customize your own script, otherwise, it´s only for internal use.
- mc_states: This UDT variable stores user inputs, calculations and MC outputs. As the above, you don´t need to use it, but you may get features to customize your own script.
For example, you may use mc.tm to get the transition matrix, or the prob map to customize the display. As you see, functions are all based on mc_states UDT. The s_map UDT is used within mc_states´s s array.
Optional exported functions include:
- `mc_table()`: Displays the transition matrix in a table format on the chart for easy visualization of the probabilities.
- `display_list()`: Displays a map (or array) of string and float/int values in a table format, used for showing transition counts or probabilities.
- `mc_prob()`: Calculates and displays probabilities for a given number of future bars based on the current state in the Markov Chain.
- `mc_all_states_prob()`: Calculates probabilities for all states for future bars, considering all possible transitions.
The above functions may be used to customize your outputs. Use the returned variable mc_states from mc_rw() and mc_cond() to display each of its matrix, maps or arrays using mc_table() (for matrices) and display_list() (for maps and arrays) if you desire to debug or track the calculation process.
See the examples in the end of this script.
Have good trading days!
Best regards,
@metacamaleo
-----------------------------
KEY FUNCTIONS
mc_rw(state, length, states, pred_length, show_table, show_prob, table_position, prob_position, font_size)
Builds the transition matrix for a rolling window Markov Chain.
Parameters:
state (string) : The current state of the market or system.
length (int) : The rolling window size.
states (array) : Array of strings representing the possible states in the Markov Chain.
pred_length (int) : The number of bars to predict into the future.
show_table (bool) : Boolean to show or hide the transition matrix table.
show_prob (bool) : Boolean to show or hide the probability table.
table_position (string) : Position of the transition matrix table on the chart.
prob_position (string) : Position of the probability list on the chart.
font_size (string) : Size of the table font.
Returns: The transition matrix and probabilities for future states.
mc_cond(state, condition, states, pred_length, show_table, show_prob, table_position, prob_position, font_size)
Builds the transition matrix for conditional Markov Chains.
Parameters:
state (string) : The current state of the market or system.
condition (string) : A string representing the condition.
states (array) : Array of strings representing the possible states in the Markov Chain.
pred_length (int) : The number of bars to predict into the future.
show_table (bool) : Boolean to show or hide the transition matrix table.
show_prob (bool) : Boolean to show or hide the probability table.
table_position (string) : Position of the transition matrix table on the chart.
prob_position (string) : Position of the probability list on the chart.
font_size (string) : Size of the table font.
Returns: The transition matrix and probabilities for future states based on the HMM.
