Option Delta Candles [Luxmi AI]Introduction
In the world of options trading, understanding how an option’s price changes with various factors is crucial. One of the key metrics traders use is **Delta**, which measures the sensitivity of an option’s price to changes in the price of the underlying asset. This blog explores an Option Delta Indicator with an Exponential Moving Average (EMA), including its uses, how it works, and its potential limitations.
What is the Option Delta Indicator?
Delta is one of the "Greeks" used in options trading to gauge the risk and behavior of options. It indicates how much an option's price is expected to change for a one-point move in the underlying asset's price. Specifically:
- Call Option Delta: A positive value indicating that the option's price increases as the underlying price increases.
- Put Option Delta: A negative value indicating that the option's price decreases as the underlying price increases.
Key Features of the Indicator
Delta Calculation
The Option Delta Indicator calculates the delta of a call option using the Black-Scholes model, a widely accepted method for pricing European-style options. The formula for delta in the context of a call option is:
Delta = N(d1)
Where:
d1 is calculated as:
d1 = (ln(S / K) + (r + (σ^2 / 2)) * T) / (σ * sqrt(T))
Here, S is the current market price of the option (used as the strike price in this case), K is the strike price, r is the risk-free interest rate, σ is the volatility, and T is the time to expiry in years.
EMA of Delta
The Exponential Moving Average (EMA) of the delta is also plotted. The EMA is a smoothing function that helps identify trends by giving more weight to recent data points. It is calculated as:
EMA = ta.ema(delta_call, emaLength)
Where `emaLength` is the user-defined period for the EMA.
Uses of the Option Delta Indicator
Trend Analysis
The EMA helps smooth out delta values, making it easier to identify trends in the delta over time. This can be useful for traders looking to understand whether the delta is increasing or decreasing, which may indicate how the option’s sensitivity to price changes is evolving.
Decision-Making Tool
By observing both delta and its EMA, traders can make more informed decisions. For instance, if the delta is rising and the EMA confirms this trend, it might indicate bullish momentum in the underlying asset. Conversely, a declining delta with a falling EMA could suggest bearish trends.
Risk Management
Understanding the delta can help traders manage their risk by assessing how sensitive their options positions are to movements in the underlying asset. By using the EMA of delta, traders can better gauge changes in sensitivity and adjust their positions accordingly.
Limitations and Disadvantages
Dependence on Model Assumptions
The Black-Scholes model, which is used to calculate delta, relies on several assumptions including constant volatility and interest rates, and the absence of dividends. These assumptions may not hold in real-world markets, potentially affecting the accuracy of delta calculations.
No Consideration of Market Conditions
The indicator does not account for broader market conditions or liquidity factors. Delta and its EMA are calculated based purely on price and time to expiry, without incorporating market news or events that might impact the option's price.
Lag in EMA
The EMA, while smoothing data, introduces a lag because it is based on past prices. This means that the EMA may not react immediately to sudden price changes, potentially causing delayed signals.
Simplified Strike Price
In this indicator, the strike price is set to the current market price of the option. This simplification might not be suitable for all trading strategies, particularly if a different strike price is more relevant to the trader's strategy.
Limited Scope
This indicator focuses solely on delta and its EMA. While useful, it does not provide a comprehensive view of an option’s overall risk profile. Traders should consider using additional indicators and analyses for a more complete understanding.
Conclusion
The Option Delta Indicator with EMA offers a useful tool for traders to analyze how the sensitivity of an option’s price to changes in the underlying asset’s price evolves over time. The inclusion of an EMA helps to smooth out the delta values and identify trends. However, traders should be aware of the limitations, including the model’s assumptions, potential lag in EMA signals, and the simplified approach to the strike price.
As with any trading tool, it's crucial to use this indicator as part of a broader trading strategy that includes other analyses and risk management practices. Understanding its strengths and limitations will help traders make more informed decisions and enhance their overall trading effectiveness.
Educational
ICT Killzones with Market BehaviorIndicator Title: ICT Killzones with Market Behavior
Description:
Introducing the ICT Killzones with Market Behavior indicator, a powerful tool designed for traders looking to capitalize on key trading timeframes in the New York session.
Key Features:
Visual Timeframes: This indicator highlights essential trading periods, including Pre-Market, NY Open, NY Lunch, and NY PM sessions. These visual markers help you quickly identify when the market is likely to experience heightened activity and liquidity.
Real-Time Insights: Stay informed with dynamic text displayed at the top of your chart. The indicator updates in real-time, providing actionable insights on what to expect during each session—whether it’s volatility, consolidation, or potential trend continuation.
Custom Color Options: Tailor the color settings for each killzone to fit your personal trading style and enhance the visual clarity of your chart.
User-Friendly Design: Built with simplicity in mind, this indicator integrates seamlessly into TradingView, making it easy for traders of all experience levels to utilize.
How to Use:
Add to Your Chart: Integrate the ICT Killzones with Market Behavior indicator into your TradingView setup.
Monitor Market Conditions: Keep an eye on the highlighted timeframes and the real-time insights displayed at the top. This information can guide your trading strategy effectively.
Adjust Your Approach: Use the insights from the indicator to modify your trading decisions based on the expected market behavior during each session.
Note: This indicator is for educational purposes only and should not be interpreted as financial advice. Always perform your own research and assess risks before making any trading decisions.
Bullseye NYSE 1st5mThis script, "BullseyeNYSE1st5m," is a TradingView indicator designed to highlight the high and low price levels during the first 5 minutes of the NYSE trading session. It works as follows:
1. **Identify NYSE Trading Hours**: The script identifies bars that fall within NYSE trading hours, specifically focusing on the first five minutes after the market opens.
2. **Calculate First 5-Minute High and Low**: During the first five minutes of the trading day, the script captures and updates the high and low prices, storing these values for the remainder of the session.
3. **Plot High and Low Levels**: The high and low values from the first five minutes are plotted as lines on the chart in yellow. This helps traders quickly identify the initial range set by the market.
4. **Fill the Area Between High and Low**: The area between the high and low levels is filled with a translucent yellow color to visually emphasize the first five-minute range.
5. **Alerts for Breakouts**: Alerts are set to notify the user when the price closes above or below the first five-minute range. This helps traders stay informed of potential breakout opportunities beyond this key opening range.
This indicator is useful for day traders looking to leverage the first few minutes of NYSE trading to identify early support and resistance levels and to spot breakout opportunities.
Bullseye PDHL Bullseye PDHL Indicator
The Bullseye PDHL indicator is designed for traders who want to visually identify key price levels from the previous trading day, including the high, low, and significant Fibonacci retracement levels. This indicator helps traders understand potential support and resistance zones, which can be useful for planning entries and exits.
Key Features:
Previous Day’s High and Low:
Plots the previous day’s high and low as solid lines on the chart to easily identify important levels from the prior session.
These levels serve as critical support and resistance markers, which are often respected by the market.
Fibonacci Retracement Levels:
Plots three Fibonacci retracement levels (38.2%, 50%, and 61.8%) between the previous day’s high and low.
These levels are key reference points for assessing potential pullbacks or retracements during the current trading day.
Visual Representation:
The previous day’s high and low are plotted in cyan for easy differentiation.
The Fibonacci retracement levels (30%, 50%, 60%) are plotted in white, providing a clear visual reference for traders.
This indicator can help traders identify important reaction zones and areas where price might reverse or consolidate, making it a valuable addition for technical analysis.
EMA Distance & Sector InfoThis indicator provides insights into price trends relative to Exponential Moving Averages (EMAs) and displays sector/industry information about the asset. Below is a detailed explanation of its purpose and what it is designed to achieve:
Purpose of the Code
The indicator offers two key functionalities:
1. Analyzing Price Distance from Multiple EMAs:
• Helps traders understand how far the current price is from key EMAs, expressed as a percentage.
• Calculates average percentage distances over a specified period (default: 63 days) to spot consistent trends or mean reversion opportunities.
• Useful for trend-following strategies, allowing the trader to see when the price is above or below important EMAs (e.g., 9, 21, 50, 100, and 150-period EMAs).
2. Displaying Asset Sector and Industry Information:
• Displays the sector and industry of the asset being analyzed (e.g., Technology, Consumer Goods).
• Provides additional context when evaluating performance across a specific sector or comparing an asset to its peers.
Who Would Use This Indicator?
This indicator is particularly helpful for:
1. Swing Traders and Positional Traders:
• They can use it to track whether the price is trading significantly above or below critical EMAs, which often signals overbought/oversold conditions or trend strength.
• The average percentage distances help to identify momentum shifts or pullback opportunities.
2. Sector/Industry-Focused Investors:
• Understanding an asset’s sector and industry helps investors gauge how the asset fits into the broader market context.
• This is valuable for sector rotation strategies, where investors shift funds between sectors based on performance trends.
How It Helps in Trading Decisions
1. Entry and Exit Points:
• If the price is far above an EMA (e.g., 21 EMA), it might indicate an overbought condition or a strong trend, while a negative percentage could signal a pullback or reversal opportunity.
• The average percentage distances smooth the fluctuations and reveal longer-term trends.
2. Contextual Information:
• Knowing the sector and industry is useful when analyzing trends. For example, if Technology stocks are doing well, and this asset belongs to that sector, it could indicate sector-wide momentum.
Summary of the Indicator’s Purpose
This code provides:
• EMA trend monitoring: Visualizes the price position relative to multiple EMAs and averages those distances for smoother insights.
• Sector and industry information: Adds valuable context for asset performance analysis.
• Decision-making support: Helps traders identify overbought/oversold levels and assess the asset within the broader market landscape.
In essence, this indicator is a multi-purpose tool that combines technical analysis (through EMA distances) with fundamental context (via sector/industry info), making it valuable for traders and investors aiming to time entries/exits or understand market behavior better.
G-Channel with EMA StrategyThe G-Channel is a custom channel with an upper (a), lower (b), and average (avg) line. These lines are dynamically calculated based on the current and previous closing prices, using the length input (default 100) to smooth the values:
Upper Line (a): This is the maximum value of the current price or the previous upper value, adjusted by the difference between the upper and lower lines divided by the length.
Lower Line (b): This is the minimum value of the current price or the previous lower value, similarly adjusted by the difference between the upper and lower lines.
The average line (avg) is simply the midpoint between the upper and lower lines. The G-Channel signals trend direction:
Bullish Condition: The system looks for the condition when the price crosses over the lower line (b), indicating a potential upward trend.
Bearish Condition: When the price crosses under the upper line (a), it signals a potential downward trend.
Exponential Moving Average (EMA)
The strategy also incorporates an EMA with a default length of 200. The EMA serves as a trend filter to determine whether the market is trending upward or downward:
Price below EMA: Indicates a bearish trend.
Price above EMA: Indicates a bullish trend.
Buy/Sell Conditions
The strategy generates buy or sell signals based on the interaction between the G-Channel signals and the price relative to the EMA:
Buy Signal: The strategy triggers a buy when:
A bullish condition (recent crossover of price over the lower G-Channel line) is detected.
The price is below the EMA, indicating that despite the recent bullish signal, the market might still be undervalued or in a temporary downturn.
Sell Signal: The strategy triggers a sell when:
A bearish condition (recent crossunder of price below the upper G-Channel line) is detected.
The price is above the EMA, suggesting that the market might be overextended and poised for a downturn.
Visualization
The strategy plots:
The upper, lower, and average lines of the G-Channel, with the average line colored based on bullish (green) or bearish (red) conditions.
The EMA (orange) line to provide context on the general trend direction.
Markers for Buy and Sell signals to visually indicate the strategy's entry points.
Strategy Execution
When a buy or sell signal is detected:
Buy Entry: If the bullish condition and price < EMA condition are met, a long (buy) position is opened.
Sell Entry: If the bearish condition and price > EMA condition are met, a short (sell) position is opened.
Purpose
This strategy aims to catch price reversals at critical points (when the price moves through the G-Channel) while filtering trades using the EMA to avoid entering during unfavorable market trends.
Macro Timeframes with Opening PriceDescription: Macro Timeframe Horizontal Line Indicator
This indicator highlights macro periods on the chart by drawing a horizontal line at the opening price of each macro period. The macro timeframe is defined as the last 10 minutes of an hour (from :50 to :00) and the first 10 minutes of the following hour (from :00 to :10).
A horizontal black line is plotted at the opening price of the macro period, starting at :50 and extending through the duration of the macro window. However, you can customize it however you see fit.
The background of the macro period is highlighted with a customizable color to visually distinguish the timeframe.
The horizontal line updates at each macro period, ensuring that the opening price for every macro session is accurately reflected on the chart.
This tool is useful for traders who want to track the behavior of price within key macro intervals and visually assess price movement and volatility during these periods.
DMR By ANTExplanation of the DMR by ANT Script
a. What is This Script and How Is It Useful?
This Pine Script, named "DMR by ANT, " is designed for use on TradingView, focusing on dynamically assessing market conditions. It calculates key levels, specifically the high and low of the previous two days, to establish trading zones that assist traders in making informed decisions.
The script highlights:
Previous Day's High and Low : It captures the high and low prices from the previous two days to help set up trading ranges.
First 15 Minutes Candles High and low is marked with Orange Lines .
Trade Zones : It identifies whether the current price is in a 'tradeable' zone or 'non-tradeable' zone. The zones are determined based on the relationship between the current price, today's open price, and the calculated high and low levels.
Targets and Stop Losses : The script dynamically provides target and stop-loss levels based on user-defined input points, which can help manage risk effectively.
This script is beneficial for traders looking to enter (or avoid) trades based on defined price action criteria and can effectively streamline the analysis process in fast-moving markets.
Customize Input Parameters:(settings)
Adjust the ATR, based on ATR target and stop-loss is calculated and displayed. The default values 7(rest see the help), Dynamics changes based on ATR values changes in real time.
b. How to Effectively Use This Script
The DMR script can be utilized across various trading instruments, including:
Indexes: Suitable for gauging market sentiment and overall trends; can assist in short-term trading strategies.
Options: Helps determine the likely movement of the underlying assets, providing insight into probable volatility and directional bias.
ETFs (Exchange-Traded Funds): Useful for trading diversified portfolios; traders can define entry and exit points relevant to the basket of stocks.
Stocks: Ideal for individual stock trading, as traders can analyze stock movements concerning broader market trends.
When utilizing this script, traders should:
Identify key trading levels before entering trades based on the calculated high and low ranges.
Use the dynamic targets and stop-loss levels to protect capital and maximize potential gains.
Continuously monitor the script's signals and adapt to ongoing market changes.
c. Best Time Frames for Different Instruments
The optimal time frames for using the DMR script can vary based on the trading instrument.
Here’s a summary in tabular format for clearer guidance:
Instrument Best Time Frames
Index 5-minute, 15-minute, 1-hour
Options 1-minute, 5-minute, 15-minute
ETF 5-minute, 15-minute, 1-hour
Stocks 5-minute, 15-minute, 1-hour, Daily
Indexes: Shorter time frames (5 to 15 minutes) can capture quick market movements, while 1-hour frames can provide a broader market overview.
Options Trading: Given the time sensitivity of options, using very short time frames (1-5 minutes) can be effective to seize rapid price movements before expiry.
ETFs: Similar to indices, shorter frames help in effectively tracking movements of the underlying assets.
Stocks: A mix of short (5-15 minutes) for day trading and daily charts for swing trading can provide balanced insights.
Conclusion
Utilizing the DMR by ANT script can greatly enhance a trader's ability to analyze market conditions, identify opportunities, and manage risk effectively. By adapting the script through the different listed recommendations, traders can maximize their trading strategy’s effectiveness across various instruments.
Do comment below for further improvement.
Futures Globex Session(s)This indicator draws a box around the Globex Session for the various Futures markets. The box height defines the highs and lows of that session, and the width defines the timeframe of that session. The boxes are outlined green if price rose during that period, and red if price fell during that period. The default Globex Session is set for the Equity Index Futures and is set in the UTC-4 time zone (Eastern Time). In the settings you can adjust the session time and time zone of your Globex Session to reflect the trading times of that market. Below are the session times for various Futures markets set in time zone UTC-4.
Equity Indexes: 18:00 - 9:30
(ES, NQ, YM, RTY)
Treasuries: 18:00 - 8:20
(ZN, ZB)
Metals: 18:00 - 8:20
(GC)
Energies: 18:00 - 9:00
(CL, NG)
Agricultures: 20:00 - 9:30
(ZS, ZW)
Trailing Stop Loss Smart [TradingFinder] Market Trend + CVD/EMA🔵 Introduction
Trailing Stop Loss (TSL) is one of the most powerful tools available. A Trailing Stop Loss is a modification of a typical stop order that adjusts dynamically based on market price movement. It can be set at a defined percentage or dollar amount away from the security's current market price, making it a flexible tool for locking in profits while minimizing risk. Unlike standard stop-loss orders, a Trailing Stop follows the market in the direction of the trade, protecting gains without requiring constant manual adjustments.
The Trailing Stop Loss Smart (TFlab Trailing Stop) indicator takes this concept even further by incorporating advanced metrics like Cumulative Volume Delta (CVD), volume dynamics, and Average True Range (ATR). This combination not only enhances risk management but also acts as a trend identifier, providing traders with a powerful tool to capitalize on both short-term and long-term price movements.
This indicator also supports various Order Types, allowing for flexible strategies that include a trailing stop/stop-loss combo to maximize winning trades while minimizing losses. The trailing stop limit is particularly useful for traders who want to set their stop at a precise level relative to the current market price, either by a percentage or a dollar amount. The Trailing Stop Loss Smart indicator can help ensure that traders do not exit too early during trends, while the stop-loss feature kicks in during reversals.
The advantages of using a Trailing Stop Loss are its ability to protect profits and reduce the emotional decision-making process in volatile markets. However, like all trading strategies, it has disadvantages, such as the risk of triggering too early during normal market fluctuations. By understanding how the Trailing Stop Loss Smart indicator integrates features like CVD, ATR, and volume analysis, traders can leverage its full potential while navigating these pros and cons.
With its unique ability to track market movements and trends using Cumulative Volume Delta, volume dynamics, and ATR-based trailing stops, this indicator offers a complete solution for traders looking to secure profits while minimizing downside risk. Whether you're employing a simple trailing stop or a trailing stop/stop-loss combo, this tool provides all the flexibility and precision needed to execute winning trades in various markets, including Forex, Crypto, and Stock.
🔵 How to Use
The Trailing Stop Loss Smart indicator integrates multiple advanced components to provide traders with superior risk management and trend identification.
Here’s how each part of the logic works :
🟣 Cumulative Volume Delta (CVD) Logic
The CVD tracks buying and selling pressure by calculating the difference between upward and downward price movements. When there’s more buying pressure, the CVD is positive, indicating a potential bullish trend. Conversely, more selling pressure results in a negative CVD, pointing to a bearish trend.
CVD Trend Detection : The indicator determines whether the market is in a bullish or bearish phase by comparing the CVD to its moving average. A bullish trend is confirmed when the CVD is above its moving average and the price is closing higher.
A bearish trend occurs when the CVD is below its moving average and the price is closing lower. This trend detection is critical for determining whether the trailing stop should be placed below the price (bullish) or above it (bearish).
🟣 Volume Dynamics
Volume is a key factor in identifying market strength. The Trailing Stop Loss Smart indicator pulls volume data based on the market selected (Forex, Crypto, or Stock) and adjusts the trailing stop based on whether the market is experiencing high volume or low volume.
High Volume : When the current volume exceeds the average volume, the market is in a high-volume state. During these conditions, the trailing stop is placed closer to the price, as high volume often indicates strong trends with less chance of reversals.
Low Volume : In low-volume conditions, the trailing stop gives the market more room to breathe by placing the stop further away from the price. This prevents premature stop-outs in periods of reduced market activity.
🟣 ATR-Based Trailing Stop
The Average True Range (ATR) is used to measure market volatility. The Trailing Stop Loss Smart uses the ATR to dynamically adjust the stop-loss distance.
Bullish Market : When a bullish trend is detected, the trailing stop is placed below the lowest price of the recent bars (determined by the Bar Back parameter), and adjusted by the ATR Multiplier. This allows for tighter protection during strong bullish trends.
Bearish Market : When the market is bearish, the trailing stop is placed above the highest price of recent bars, also adjusted by the ATR Multiplier. This ensures that short positions are safeguarded against sudden reversals.
🟣 Dynamic Stop-Loss Updates
The trailing stop is updated every few bars (according to the Refiner parameter), ensuring it remains relevant to the most recent price action and volume changes. This dynamic feature ensures the stop-loss adapts to both trending and volatile market conditions, without requiring manual intervention.
High Volume with Trends : In periods of high volume and a confirmed trend, the stop-loss is positioned tightly to lock in profits while minimizing the risk of reversal.
Low Volume with Trends : In low-volume conditions, the stop-loss is placed further from the price, allowing the market to move freely without triggering premature exits.
🟣 Visual Representation
The indicator visually represents the trailing stop on the chart, with green lines indicating bullish trends and red lines for bearish trends. This visual aid helps traders quickly assess the state of the market and the position of their trailing stop in real-time.
🔵 Settings
The Trailing Stop Loss Smart indicator offers several customizable settings to suit various trading strategies. Understanding these inputs is key to optimizing the tool for your specific trading style.
🟣 General Settings
Cumulative Mode : This controls how the CVD is calculated.
You can choose between :
EMA : Exponential Moving Average smoothing.
Periodic : Sums the delta over a fixed period.
CVD Period : Defines the look-back period for CVD calculation. A longer period smooths the data, making it less sensitive to short-term fluctuations.
Ultra Data : This Boolean input aggregates volume across multiple exchanges for a more comprehensive view of market activity.
Market Ultra Data : Select between Forex, Crypto, and Stock to ensure the indicator pulls accurate volume data for your market.
🟣 Logical Settings
Moving Average CVD Period : Defines the period for the moving average of the CVD. A longer period smooths the trend, reducing noise.
Moving Average Volume Period : Sets the period for the moving average used to distinguish between high and low volume conditions.
Level Finder Bar Back : Determines how many bars to look back when identifying the highest or lowest price for trailing stop placement.
Levels update per candles : Sets how often (in bars) the trailing stop should be updated to remain in sync with market movements.
ATR On : Toggles the use of ATR to adjust the trailing stop based on volatility.
ATR Multiplie r: Defines how far the stop is placed from the price based on the ATR. A larger multiplier increases the stop distance, reducing the likelihood of getting stopped out during market fluctuations.
ATR Multiplier Adjusts the distance of the trailing stop based on the ATR. A higher multiplier places the stop further from the price, providing more breathing room in volatile markets.
🔵 Conclusion
The Trailing Stop Loss Smart indicator is a comprehensive tool for traders looking to manage risk while identifying market trends. By incorporating Cumulative Volume Delta (CVD) to detect buying and selling pressure, volume dynamics to gauge market activity, and ATR to adjust for volatility, this indicator ensures that stop-loss levels are both adaptive and protective.
Whether you’re trading in Forex, Crypto, or Stock markets, the Trailing Stop Loss Smart allows you to capitalize on trends while dynamically adjusting to changing market conditions. Its ability to distinguish between high-volume and low-volume periods ensures that you’re not stopped out prematurely during periods of consolidation or market hesitation.
By providing real-time visual feedback, dynamic adjustments, and trend identification, this indicator serves as a vital tool for traders aiming to maximize profits while minimizing risk. Its versatility and adaptability make it an essential part of any trader’s toolkit, helping you stay ahead in fast-moving markets while safeguarding your positions.
Forex LEAcademyForex LEAcademy Indicator
Overview:
The Forex LEAcademy script is designed for forex traders who want to visualize key price levels during the Asian trading session. This script highlights the high and low points of a specified candle time and dynamically draws lines to represent critical levels for market analysis.
Key Features:
Session Time Management:
Users can set the specific time frame to focus on, allowing for targeted analysis during the Asian trading session.
Dynamic Highlighting:
The indicator automatically highlights the background during the specified candle time, making it easy to identify the session at a glance.
Price Level Calculation:
At the beginning of each new session, the script calculates and stores the high and low values of the defined candle, which are essential for identifying potential breakout or reversal points.
Visual Representation:
The indicator draws horizontal lines on the chart to represent:
The first high and low of the session.
Additional levels above and below the initial range (T1, T2, T3, T4), calculated based on the candle height. These levels provide valuable insights for setting target prices and stop-loss levels.
Customizable Input Parameters:
Users can customize the time frame for the candle being analyzed, enhancing flexibility for different trading strategies.
Usage:
This indicator is ideal for traders looking to capitalize on the price movements in the forex market, particularly during the Asian session. By understanding the high and low points within this critical time frame, traders can make informed decisions based on market behavior.
Abdozo - Highlight First DaysAbdozo - Highlight First Days Indicator
This Pine Script indicator helps traders easily identify key timeframes by highlighting the first trading day of the week and the first day of the month. It provides visual markers directly on your chart, helping you stay aware of potential market trends and turning points.
Features:
- Highlight First Day of the Week (Monday): Automatically marks Mondays to help you track weekly market cycles.
- Highlight First Day of the Month: Spot the start of each month with ease to analyze monthly performance and trends.
Quarterly Highlight ModelDiscover a new edge in your market analysis with our latest TradingView script. Designed to highlight quarterly performance, this tool not only offers insights into individual companies but also serves as a powerful lens to examine broader market trends.
Key Features:
- Quarterly Highlights: Easily identify and analyze each company's performance across four quarters, with each quarter represented by a unique color for clear visual distinction.
- Trend Analysis: Use quarterly data to spot trends and make informed decisions.
Enhance your trading strategy with deeper insights and a comprehensive view of market conditions. Check it out and let’s revolutionize the way we understand the markets!
Visualization of price changes with Updated LineThis indicator is used to identify the upward or downward momentum of a trend and to visualize the corresponding price fluctuations.
Calculation of the Fluctuation
The price fluctuation (Fluctuation) is calculated and added to the rising fractuation array if it is rising or to the falling fractuation array if it is falling.
Calculating Moving Averages
A moving average is calculated for each fractuation to determine the momentum or strength of the trend. In this case, the higher the value of the moving average, the stronger the momentum in that direction.
Generation of Cross Signals
Detects the point at which a rising moving average crosses a falling moving average. At this crossing point, a triangle shape will be plotted on the chart at the timing of a possible trend turning point or push.
Displaying Lines
Based on this crosspoint, a line is drawn. This line represents a push in the direction of the trend and helps to identify price reversals and pushes. The line will rise when the uptrend is strengthening and fall when the downtrend is gaining momentum.
Thus, the signals and lines used to determine trend pushes and momentum are plotted visually and designed to help traders make decisions based on this information.
Alternative Shark Harmonic Pattern [TradingFinder] ALT Shark🔵 Introduction
The Alternative Shark harmonic pattern, similar to the original Shark harmonic pattern introduced by Scott Carney, is a powerful tool in technical analysis used to identify potential reversal zones (PRZ) in financial markets.
These harmonic patterns help traders spot key turning points in market trends by relying on specific Fibonacci ratios. The Alternative Shark pattern is particularly unique due to its distinct Fibonacci retracements within the PRZ, which differentiate it from the standard Shark pattern and provide traders with more precise entry and exit signals.
By focusing on harmonic patterns and utilizing tools like the Harmonic Pattern Indicator, traders can easily identify both the Shark and Alternative Shark patterns, making it easier to find PRZs and capture potential trend reversals. This enhanced detection of potential reversal zones allows for better trade optimization and improved risk management.
Incorporating the Alternative Shark pattern into your technical analysis strategy enables you to enhance your trading performance by identifying market reversals with greater accuracy, improving the timing of your trades, and reducing risks associated with sudden market shifts.
🟣 Understanding the Types of Alternative Shark Pattern
The Alternative Shark harmonic pattern, much like the original Shark pattern, forms at the end of price trends and is divided into two types: Bullish and Bearish Alternative Shark patterns.
Bullish Alternative Shark Pattern :
This pattern typically forms at the end of a downtrend, signaling a potential reversal into an uptrend. Traders can use this pattern to identify buy entry points. The image below illustrates the core components of the Bullish Alternative Shark Pattern.
Bearish Alternative Shark Pattern :
Conversely, the Bearish Alternative Shark Pattern appears at the end of an uptrend and signals a potential reversal to a downtrend. This variation allows traders to adjust their strategies for selling. The image below outlines the characteristics of the Bearish Alternative Shark Pattern.
🟣 Differences Between Shark and Alternative Shark Patterns
Although both patterns share similar structures and serve as tools for identifying price reversals, there is one key difference between them :
AB to XA Ratio : In the Shark pattern, the AB leg retraces between 1 and 2 of the XA leg, whereas in the Alternative Shark pattern, this retracement is reduced to 0.382 to 0.618 of the XA leg. This difference in the retracement ratio leads to slightly different trade signals and can affect the timing of entry and exit points.
Other ratios and reversal signals remain consistent between the two patterns, but this difference in the AB to XA ratio provides traders with more nuanced opportunities to optimize their trades.
🔵 How to Use
🟣 Trading with the Bullish Alternative Shark Pattern
The Bullish Alternative Shark Pattern functions similarly to the traditional Bullish Shark, acting as a reversal pattern that helps traders recognize the end of a downtrend and the beginning of an uptrend.
The main distinction lies in the reduced AB retracement, which can offer more refined entry signals. Once the pattern completes, traders can look to enter buy trades and place a stop-loss below the lowest point of the pattern for effective risk management.
🟣 Trading with the Bearish Alternative Shark Pattern
The Bearish Alternative Shark Pattern operates much like the Bearish Shark pattern but with the adjusted AB to XA ratio. This difference provides traders with unique entry points for sell trades. Once the pattern is fully identified, traders can enter short positions, placing a stop-loss above the highest point of the pattern to safeguard against market fluctuations.
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🔵 Conclusion
The Alternative Shark harmonic pattern, despite its structural similarity to the traditional Shark pattern, introduces a key difference in the AB to XA ratio, making it a valuable addition to the trader’s toolkit. This subtle variation enables traders to pinpoint reversal points with greater accuracy and fine-tune their trading strategies.
As with any technical pattern, it is crucial to use the Alternative Shark pattern in combination with other technical indicators and strong risk management practices. Incorporating this pattern into a broader trading strategy can help traders enhance their ability to detect and capitalize on market reversals more effectively.
Fibonacci Retracement Levels (Horizontal)With this, you should be able to see the Fibonacc-i retracement levels plotted as horizontal lines on your chart. If needed, you can adjust the len parameter to increase or decrease the lookback period used to calculate the high and low points.
Horizontal Lines: I've added horizontal lines for each Fibonacci retracement level (0%, 23.6%, 38.2%, 50%, 61.8%, 100%), starting from the current bar index to ensure they extend horizontally across the chart.
Labels: Labels are now placed on the right side of the chart for each level so you can easily identify the Fibonacci levels.
LE AcademyLE Academy
This script is designed to analyze and visualize key price levels based on the first 5-minute candle of a new trading session, starting at a customizable time (default: 09:15). The script identifies the high and low of the first candle and calculates four key target levels based on the range (height) of that candle:
1. **T1**: 50% extension above the high of the first candle.
2. **T2**: 200% extension above the high of the first candle.
3. **T3**: 50% extension below the low of the first candle.
4. **T4**: 200% extension below the low of the first candle.
### Key Features:
- **Session Start Time**: The session is triggered at 09:15 (or any custom time) and calculates key levels based on the first candle's high and low.
- **Price Levels**: The script automatically draws horizontal lines for the first candle's high, low, and the four calculated target levels (T1, T2, T3, T4) to guide intraday trading decisions.
- **Dynamic Updates**: These lines extend and update with each new bar, helping traders track how price interacts with these key levels throughout the session.
This tool is ideal for day traders and scalpers who focus on early session price action and want to track breakout levels and potential targets based on the initial price movement of the day.
**Usage**:
1. Add the script to your chart.
2. The first candle of the session is captured at 09:15, but this can be adjusted for different markets or strategies.
3. Watch how price reacts around the high, low, and the calculated target levels (T1 to T4) for potential entry or exit points.
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This script is perfect for traders looking to analyze the initial momentum of the market and make informed decisions based on key price levels generated from the first minute of trading.
Thanks
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.
Time Based 3 Candle Model CRT FrameworkThe 3 Candle Model Overview:
The 3 Candle Model serves as a sophisticated framework for traders to navigate the complexities of financial markets, particularly within futures and forex trading. This guide not only elaborates on the model's key features but also emphasizes its originality and practical usefulness in the TradingView community. The core principle of the 3 Candle Model revolves around understanding how candle patterns can represent significant price ranges, offering valuable insights into potential market movements. By integrating the model with other critical trading concepts such as the Power of Three (PO3), Open-High-Low-Close (OHLC), and Turtle Soup setups, traders can enhance their ability to identify high-probability trades and achieve better trading outcomes.
Indicator includes:
3 Customizable Timeframe choices to fractally frame 3 candle models for precision
Live Timers for each timeframe to always be aware of the models timing
Parent Candle tracking on every preffered timeframe until new models parent candle is printed
Key Features of the 3 Candle Model
The 3 Candle Model primarily utilizes a three-candle structure, where the first candle establishes a price range, the second candle may act as a confirmation (often termed a "turtle soup"), and the third candle provides the breakout or continuation. This structure is pivotal in determining entry and exit points for trades, ensuring that each trading decision is backed by solid price action analysis.
OHLC Principle:
The Open-High-Low-Close (OHLC) concept is integral to the 3 Candle Model, allowing traders to analyze price action more effectively. Understanding the relationship between these four price points helps traders gauge market sentiment and potential reversals. By incorporating OHLC into the model, traders can develop a deeper understanding of market structure and its implications for future price movements.
Delivery States:
The 3 Candle Model emphasizes the importance of delivery states, which refer to the market's phase during specific time frames. Recognizing these states aids traders in determining the appropriate conditions for entering trades, particularly when combined with the power of three and candle range patterns. This understanding is crucial for positioning trades in alignment with market momentum.
High Probability Setups:
By aligning the 3 Candle Model with inside bar setups, traders can optimize their strategies for high-probability outcomes. This approach capitalizes on the inherent fractal nature of price movements, where previous patterns repeat at different scales. The combination of the model and inside bar setups enhances the trader's toolkit, allowing for more strategic trade placements.
Turtle Soup Formation:
The 3 Candle Model intricately connects with the Turtle Soup concept, which focuses on false breakouts. Identifying these formations at critical levels enhances the trader's ability to anticipate reversals or continuation patterns. The timing of these setups, particularly during specified times like 3:00 AM, 6:00 AM, 9:00 AM, and 1:00 PM, is crucial for maximizing trade success.
Using the 3 Candle Model in Trading
Integration with PO3:
The Power of Three (PO3) is a fundamental aspect of the 3 Candle Model that emphasizes the significance of three distinct stages of price delivery. Traders can leverage this principle by observing the initial range, confirming patterns, and executing trades during the third phase, leading to higher risk-to-reward ratios. This three-stage approach enhances a trader's ability to make informed decisions based on market behavior.
Targeting Midpoints:
Successful application of the 3 Candle Model involves targeting the midpoints of identified ranges. This practice not only provides strategic entry points but also enhances the probability of reaching desired profit levels. By targeting these midpoints, traders can refine their exit strategies and manage risk more effectively.
Aligning with Market Timing:
Timing is everything in trading. By synchronizing the 3 Candle Model setups with the aforementioned key timeframes, traders can better position themselves to exploit market dynamics. This alignment also facilitates the identification of high-quality trades that exhibit strong potential for profitability.
Prioritizing A+ Setups:
By focusing on the 3 Candle Model and its associated concepts, traders can prioritize A+ setups that exhibit a strong alignment of factors. This methodical approach enhances the quality of trades taken, leading to improved overall performance. By cultivating a strategy centered on high-probability setups, traders can maximize their return on investment.
Ensuring Originality and Usefulness
To meet the TradingView community guidelines, it is essential that this script is both original and useful. The 3 Candle Model, in its essence, is designed to provide traders with a unique perspective on market movements, free from generic or rehashed strategies. This tool integrates unique interpretations of the three-candle model and the associated strategies that are distinctly articulated and innovative.
Practical Applications: there are many practical applications of the 3 Candle Model in various trading contexts. This model in conjunction with other strategies to cultivate high-probability trade setups that can enhance performance across diverse market conditions.
Educational Value: This script is crafted with educational value in mind, providing insights that extend beyond mere trading signals. It encourages users to develop a deeper understanding of market mechanics and the interplay between price action, time, and trader psychology.
Conclusion
The 3 Candle Model provides a comprehensive framework for traders to enhance their trading strategies in the futures and forex markets. By understanding and applying the principles of this model alongside the Power of Three, OHLC concepts, and Turtle Soup formations, traders can significantly improve their ability to identify high-probability trades. The emphasis on timing, delivery states, and alignment of ranges ensures that traders are well-equipped to navigate the complexities of market movements, ultimately leading to more consistent and rewarding trading outcomes.
As trading involves risk, it is essential for traders to utilize these principles judiciously and maintain a disciplined approach to their trading strategies. By adhering to the TradingView community guidelines and emphasizing originality, usefulness, and detailed descriptions, this 3 Candle Model script stands as a valuable resource for traders seeking to refine their skills and achieve greater success in the financial markets.
Through this detailed exploration of the 3 Candle Model, traders will not only learn to recognize and exploit key patterns in price action but also appreciate the interconnectedness of various trading strategies that can significantly enhance their performance and profitability.
Futures Beta Overview with Different BenchmarksBeta Trading and Its Implementation with Futures
Understanding Beta
Beta is a measure of a security's volatility in relation to the overall market. It represents the sensitivity of the asset's returns to movements in the market, typically benchmarked against an index like the S&P 500. A beta of 1 indicates that the asset moves in line with the market, while a beta greater than 1 suggests higher volatility and potential risk, and a beta less than 1 indicates lower volatility.
The Beta Trading Strategy
Beta trading involves creating positions that exploit the discrepancies between the theoretical (or expected) beta of an asset and its actual market performance. The strategy often includes:
Long Positions on High Beta Assets: Investors might take long positions in assets with high beta when they expect market conditions to improve, as these assets have the potential to generate higher returns.
Short Positions on Low Beta Assets: Conversely, shorting low beta assets can be a strategy when the market is expected to decline, as these assets tend to perform better in down markets compared to high beta assets.
Betting Against (Bad) Beta
The paper "Betting Against Beta" by Frazzini and Pedersen (2014) provides insights into a trading strategy that involves betting against high beta stocks in favor of low beta stocks. The authors argue that high beta stocks do not provide the expected return premium over time, and that low beta stocks can yield higher risk-adjusted returns.
Key Points from the Paper:
Risk Premium: The authors assert that investors irrationally demand a higher risk premium for holding high beta stocks, leading to an overpricing of these assets. Conversely, low beta stocks are often undervalued.
Empirical Evidence: The paper presents empirical evidence showing that portfolios of low beta stocks outperform portfolios of high beta stocks over long periods. The performance difference is attributed to the irrational behavior of investors who overvalue riskier assets.
Market Conditions: The paper suggests that the underperformance of high beta stocks is particularly pronounced during market downturns, making low beta stocks a more attractive investment during volatile periods.
Implementation of the Strategy with Futures
Futures contracts can be used to implement the betting against beta strategy due to their ability to provide leveraged exposure to various asset classes. Here’s how the strategy can be executed using futures:
Identify High and Low Beta Futures: The first step involves identifying futures contracts that have high beta characteristics (more sensitive to market movements) and those with low beta characteristics (less sensitive). For example, commodity futures like crude oil or agricultural products might exhibit high beta due to their price volatility, while Treasury bond futures might show lower beta.
Construct a Portfolio: Investors can construct a portfolio that goes long on low beta futures and short on high beta futures. This can involve trading contracts on stock indices for high beta stocks and bonds for low beta exposures.
Leverage and Risk Management: Futures allow for leverage, which means that a small movement in the underlying asset can lead to significant gains or losses. Proper risk management is essential, using stop-loss orders and position sizing to mitigate the inherent risks associated with leveraged trading.
Adjusting Positions: The positions may need to be adjusted based on market conditions and the ongoing performance of the futures contracts. Continuous monitoring and rebalancing of the portfolio are essential to maintain the desired risk profile.
Performance Evaluation: Finally, investors should regularly evaluate the performance of the portfolio to ensure it aligns with the expected outcomes of the betting against beta strategy. Metrics like the Sharpe ratio can be used to assess the risk-adjusted returns of the portfolio.
Conclusion
Beta trading, particularly the strategy of betting against high beta assets, presents a compelling approach to capitalizing on market inefficiencies. The research by Frazzini and Pedersen emphasizes the benefits of focusing on low beta assets, which can yield more favorable risk-adjusted returns over time. When implemented using futures, this strategy can provide a flexible and efficient means to execute trades while managing risks effectively.
References
Frazzini, A., & Pedersen, L. H. (2014). Betting against beta. Journal of Financial Economics, 111(1), 1-25.
Fama, E. F., & French, K. R. (1992). The cross-section of expected stock returns. Journal of Finance, 47(2), 427-465.
Black, F. (1972). Capital Market Equilibrium with Restricted Borrowing. Journal of Business, 45(3), 444-454.
Ang, A., & Chen, J. (2010). Asymmetric volatility: Evidence from the stock and bond markets. Journal of Financial Economics, 99(1), 60-80.
By utilizing the insights from academic literature and implementing a disciplined trading strategy, investors can effectively navigate the complexities of beta trading in the futures market.
Judas Swing ICT 01 [TradingFinder] New York Midnight Opening M15🔵 Introduction
The Judas Swing (ICT Judas Swing) is a trading strategy developed by Michael Huddleston, also known as Inner Circle Trader (ICT). This strategy allows traders to identify fake market moves designed by smart money to deceive retail traders.
By concentrating on market structure, price action patterns, and liquidity flows, traders can align their trades with institutional movements and avoid common pitfalls. It is particularly useful in FOREX and stock markets, helping traders identify optimal entry and exit points while minimizing risks from false breakouts.
In today's volatile markets, understanding how smart money manipulates price action across sessions such as Asia, London, and New York is essential for success. The ICT Judas Swing strategy helps traders avoid common pitfalls by focusing on key movements during the opening time and range of each session, identifying breakouts and false breakouts.
By utilizing various time frames and improving risk management, this strategy enables traders to make more informed decisions and take advantage of significant market movements.
In the Judas Swing strategy, for a bullish setup, the price first touches the high of the 15-minute range of New York midnight and then the low. After that, the price returns upward, breaks the high, and if there’s a candlestick confirmation during the pullback, a buy signal is generated.
bearish setup, the price first touches the low of the range, then the high. With the price returning downward and breaking the low, if there’s a candlestick confirmation during the pullback to the low, a sell signal is generated.
🔵 How to Use
To effectively implement the Judas Swing strategy (ICT Judas Swing) in trading, traders must first identify the price range of the 15-minute window following New York midnight. This range, consisting of highs and lows, sets the stage for the upcoming movements in the London and New York sessions.
🟣 Bullish Setup
For a bullish setup, the price first moves to touch the high of the range, then the low, before returning upward to break the high. Following this, a pullback occurs, and if a valid candlestick confirmation (such as a reversal pattern) is observed, a buy signal is generated. This confirmation could indicate the presence of smart money supporting the bullish movement.
🟣 Bearish Setup
For a bearish setup, the process is the reverse. The price first touches the low of the range, then the high. Afterward, the price moves downward again and breaks the low. A pullback follows to the broken low, and if a bearish candlestick confirmation is seen, a sell signal is generated. This confirmation signals the continuation of the downward price movement.
Using the Judas Swing strategy enables traders to avoid fake breakouts and focus on strong market confirmations. The strategy is versatile, applying to FOREX, stocks, and other financial instruments, offering optimal trading opportunities through market structure analysis and time frame synchronization.
To execute this strategy successfully, traders must combine it with effective risk management techniques such as setting appropriate stop losses and employing optimal risk-to-reward ratios. While the Judas Swing is a powerful tool for predicting price movements, traders should remember that no strategy is entirely risk-free. Proper capital management remains a critical element of long-term success.
By mastering the ICT Judas Swing strategy, traders can better identify entry and exit points and avoid common traps from fake market movements, ultimately improving their trading performance.
🔵 Setting
Opening Range : High and Low identification time range.
Extend : The time span of the dashed line.
Permit : Signal emission time range.
🔵 Conclusion
The Judas Swing strategy (ICT Judas Swing) is a powerful tool in technical analysis that helps traders identify fake moves and align their trades with institutional actions, reducing risk and enhancing their ability to capitalize on market opportunities.
By leveraging key levels such as range highs and lows, fake breakouts, and candlestick confirmations, traders can enter trades with more precision. This strategy is applicable in forex, stocks, and other financial markets and, with proper risk management, can lead to consistent trading success.
Risk Reward CalculatorPlanning your trading is an important step that you must do before buying the stock.
Risk and Reward Calculator is an important tool for the trader.
With this calculator, you only need to put the capital for one trade and it will automaticaly put the plan for you. But if you want to enter your plan for buy and sell, you just need to check the button and enter the number. the risk and reward calculator will suggest position size based on the information.
The Steps to use Risk Reward Calculator
1. enter how many percentage you can accept if your analysis is wrong.
2. enter how much money you want to trade
3. it will automaticaly calculate the plan for you
4. you can change the reward
5. but if you want to enter your own number, you can check the box. After that enter the number you want for your new plan.
Mark Minirvini's Trend TemplateMark Minirvini's Trend Template is based on Trend Template Criteria specified by the legendary Trader Mark Minervini.
Prerequisite - Use this Indicator only in Weekly Timeframe.
What does the Indictor do?
1. The indicator checks all the trend following criteria specified by the legendary Trader Mark Minervini in his book "Trade Like a Stock Market Wizard", and sets the background color green when all the trend template criteria are satisfied, that represents the Stock is currently in Stage 2 of its upward journey.
2. It plots 52-Week High Line.
3. Shows %Down from 52-Week High in a label on top of the latest candle.
How to use this Indicator?
1. This indicator can help you quickly find out if the company is already in Stage 2 of growth or now.
2. This indicator quickly identifies when the stock is out of Stage 2 and may move further into Stage 3 or 4.
Please note that this indicator does not generate any BUY or SELL signals.
This indicator can best be used for quickly confirming the Current Stage of the stock and how much down stock currently is wrt 52-week high price.
Settings:
1. By default the 52-Week Low line is disabled, one can switch it back on from Settings.
