Market Structure Based Stop LossMarket Structure Based Dynamic Stop Loss
Introduction
The Market Structure Based Stop Loss indicator is a strategic tool for traders designed to be useful in both rigorous backtesting and live testing, by providing an objective, “guess-free” stop loss level. This indicator dynamically plots suggested stop loss levels based on market structure, and the concepts of “interim lows/highs.”
It provides a robust framework for managing risk in both long and short positions. By leveraging historical price movements and real time market dynamics, this indicator helps traders identify quantitatively consistent risk levels while optimizing trade returns.
Legend
This indicator utilizes various inputs to customize its functionality, including "Stop Loss Sensitivity" and "Wick Depth," which dictate how closely the stop loss levels hug the price's highs and lows. The stop loss levels are plotted as lines on the trading chart, providing clear visual cues for position management. As seen in the chart below, this indicator dynamically plots stop loss levels for both long and short positions at every point in time.
A “Stop Loss Table” is also included, in order to enhance precision trading and increase backtesting accuracy. It is customizable in both size and positioning.
Case Study
Methodology
The methodology behind this indicator focuses on the precision placement of stop losses using market structure as a guide. It calculates stop losses by identifying the "lowest close" and the corresponding "lowest low" for long setups, and inversely for short setups. By adjusting the sensitivity settings, traders can tweak the indicator's responsiveness to price changes, ensuring that the stop losses are set with a balance between tight risk control and enough room to avoid premature exits due to market noise. The indicator's ability to adapt to different trading styles and time frames makes it an essential tool for traders aiming for efficiency and effectiveness in their risk management strategies.
An important point to make is the fact that the stop loss levels are always placed within the wicks. This is important to avoid what can be described as a “floating stop loss”. A stop loss placed outside of a wick is susceptible to an outsized degree of slippage. This is because traders always cluster their stop losses at high/low wicks, and a stop loss placed outside of this level will inevitably be caught in a low liquidity cascade or “wash-out.” When price approaches a cluster of stop losses, it is highly probable that you will be stopped out anyway, so it is prudent to attempt to be the trader who gets stopped out first in order to avoid high slippage, and losses above what you originally intended.
// For long positions: stop-loss is slightly inside the lowest wick
float dynamic_SL_Long = lowestClose - (lowestClose - lowestLow) * (1 - WickDepth)
// For short positions: stop-loss is slightly inside the highest wick
float dynamic_SL_Short = highestClose + (highestHigh - highestClose) * (1 - WickDepth)
The percentage depth of the wick in which the stop loss is placed is customisable with the “Wick Depth” variable, in order to customize stop loss strategies around the liquidity of the market a trader is executing their orders in.
Komut dosyalarını "liquidity" için ara
Bitcoin Macro Trend Map [Ox_kali]
## Introduction
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The “Bitcoin Macro Trend Map” script is designed to provide a comprehensive analysis of Bitcoin’s macroeconomic trends. By leveraging a unique combination of Bitcoin-specific macroeconomic indicators, this script helps traders identify potential market peaks and troughs with greater accuracy. It synthesizes data from multiple sources to offer a probabilistic view of market excesses, whether overbought or oversold conditions.
This script offers significant value for the following reasons:
1. Holistic Market Analysis : It integrates a diverse set of indicators that cover various aspects of the Bitcoin market, from investor sentiment and market liquidity to mining profitability and network health. This multi-faceted approach provides a more complete picture of the market than relying on a single indicator.
2. Customization and Flexibility : Users can customize the script to suit their specific trading strategies and preferences. The script offers configurable parameters for each indicator, allowing traders to adjust settings based on their analysis needs.
3. Visual Clarity : The script plots all indicators on a single chart with clear visual cues. This includes color-coded indicators and background changes based on market conditions, making it easy for traders to quickly interpret complex data.
4. Proven Indicators : The script utilizes well-established indicators like the EMA, NUPL, PUELL Multiple, and Hash Ribbons, which are widely recognized in the trading community for their effectiveness in predicting market movements.
5. A New Comprehensive Indicator : By integrating background color changes based on the aggregate signals of various indicators, this script essentially creates a new, comprehensive indicator tailored specifically for Bitcoin. This visual representation provides an immediate overview of market conditions, enhancing the ability to spot potential market reversals.
Optimal for use on timeframes ranging from 1 day to 1 week , the “Bitcoin Macro Trend Map” provides traders with actionable insights, enhancing their ability to make informed decisions in the highly volatile Bitcoin market. By combining these indicators, the script delivers a robust tool for identifying market extremes and potential reversal points.
## Key Indicators
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Macroeconomic Data: The script combines several relevant macroeconomic indicators for Bitcoin, such as the 10-month EMA, M2 money supply, CVDD, Pi Cycle, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons (Full description bellow).
Open Source Sources: Most of the scripts used are sourced from open-source projects that I have modified to meet the specific needs of this script.
Recommended Timeframes: For optimal performance, it is recommended to use this script on timeframes ranging from 1 day to 1 week.
Objective: The primary goal is to provide a probabilistic solution to identify market excesses, whether overbought or oversold points.
## Originality and Purpose
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This script stands out by integrating multiple macroeconomic indicators into a single comprehensive tool. Each indicator is carefully selected and customized to provide insights into different aspects of the Bitcoin market. By combining these indicators, the script offers a holistic view of market conditions, helping traders identify potential tops and bottoms with greater accuracy. This is the first version of the script, and additional macroeconomic indicators will be added in the future based on user feedback and other inputs.
## How It Works
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The script works by plotting each macroeconomic indicator on a single chart, allowing users to visualize and interpret the data easily. Here’s a detailed look at how each indicator contributes to the analysis:
EMA 10 Monthly: Uses an exponential moving average over 10 monthly periods to signal bullish and bearish trends. This indicator helps identify long-term trends in the Bitcoin market by smoothing out price fluctuations to reveal the underlying trend direction.Moving Averages w/ 18 day/week/month.
Credit to @ryanman0
M2 Money Supply: Analyzes the evolution of global money supply, indicating market liquidity conditions. This indicator tracks the changes in the total amount of money available in the economy, which can impact Bitcoin’s value as a hedge against inflation or economic instability.
Credit to @dylanleclair
CVDD (Cumulative Value Days Destroyed): An indicator based on the cumulative value of days destroyed, useful for identifying market turning points. This metric helps assess the Bitcoin market’s health by evaluating the age and value of coins that are moved, indicating potential shifts in market sentiment.
Credit to @Da_Prof
Pi Cycle: Uses simple and exponential moving averages to detect potential sell points. This indicator aims to identify cyclical peaks in Bitcoin’s price, providing signals for potential market tops.
Credit to @NoCreditsLeft
NUPL (Net Unrealized Profit/Loss): Measures investors’ unrealized profit or loss to signal extreme market levels. This indicator shows the net profit or loss of Bitcoin holders as a percentage of the market cap, helping to identify periods of significant market optimism or pessimism.
Credit to @Da_Prof
PUELL Multiple: Assesses mining profitability relative to historical averages to indicate buying or selling opportunities. This indicator compares the daily issuance value of Bitcoin to its yearly average, providing insights into when the market is overbought or oversold based on miner behavior.
Credit to @Da_Prof
MRVR Z-Scores: Compares market value to realized value to identify overbought or oversold conditions. This metric helps gauge the overall market sentiment by comparing Bitcoin’s market value to its realized value, identifying potential reversal points.
Credit to @Pinnacle_Investor
Hash Ribbons: Uses hash rate variations to signal buying opportunities based on miner capitulation and recovery. This indicator tracks the health of the Bitcoin network by analyzing hash rate trends, helping to identify periods of miner capitulation and subsequent recoveries as potential buying opportunities.
Credit to @ROBO_Trading
## Indicator Visualization and Interpretation
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For each horizontal line representing an indicator, a legend is displayed on the right side of the chart. If the conditions are positive for an indicator, it will turn green, indicating the end of a bearish trend. Conversely, if the conditions are negative, the indicator will turn red, signaling the end of a bullish trend.
The background color of the chart changes based on the average of green or red indicators. This parameter is configurable, allowing adjustment of the threshold at which the background color changes, providing a clear visual indication of overall market conditions.
## Script Parameters
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The script includes several configurable parameters to customize the display and behavior of the indicators:
Color Style:
Normal: Default colors.
Modern: Modern color style.
Monochrome: Monochrome style.
User: User-customized colors.
Custom color settings for up trends (Up Trend Color), down trends (Down Trend Color), and NaN (NaN Color)
Background Color Thresholds:
Thresholds: Settings to define the thresholds for background color change.
Low/High Red Threshold: Low and high thresholds for bearish trends.
Low/High Green Threshold: Low and high thresholds for bullish trends.
Indicator Display:
Options to show or hide specific indicators such as EMA 10 Monthly, CVDD, Pi Cycle, M2 Money, NUPL, PUELL, MRVR Z-Scores, and Hash Ribbons.
Specific Indicator Settings:
EMA 10 Monthly: Options to customize the period for the exponential moving average calculation.
M2 Money: Aggregation of global money supply data.
CVDD: Adjustments for value normalization.
Pi Cycle: Settings for simple and exponential moving averages.
NUPL: Thresholds for unrealized profit/loss values.
PUELL: Adjustments for mining profitability multiples.
MRVR Z-Scores: Settings for overbought/oversold values.
Hash Ribbons: Options for hash rate moving averages and capitulation/recovery signals.
## Conclusion
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The “Bitcoin Macro Trend Map” by Ox_kali is a tool designed to analyze the Bitcoin market. By combining several macroeconomic indicators, this script helps identify market peaks and troughs. It is recommended to use it on timeframes from 1 day to 1 week for optimal trend analysis. The scripts used are sourced from open-source projects, modified to suit the specific needs of this analysis.
## Notes
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This is the first version of the script and it is still in development. More indicators will likely be added in the future. Feedback and comments are welcome to improve this tool.
## Disclaimer:
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Please note that the Open Interest liquidation map is not a guarantee of future market performance and should be used in conjunction with proper risk management. Always ensure that you have a thorough understanding of the indicator’s methodology and its limitations before making any investment decisions. Additionally, past performance is not indicative of future results.
High & Low Of Custom Session - Breakout True Open [cognyto]This indicator is based on the High & Low Of Custom Session - OpeningRange Breakout (Expo) created by Zeiierman.
It adds new functionality and enhances existing settings, targeting ES, NQ, and YM:
Manages session defaults to 12:00 to 13:00
New true opening fully customizable (default 13:00)
Manages timeframe visualization (default 15m and below)
Manages session draw length until the end of the current session (default NY)
Manages previous sessions, allowing the to be hidden
Improves timezone selection (default NY)
Following the strategy called Paradox detailed by DayTradingRauf, it works with indices like ES, NQ, and YM.
The rules consider three possible profiles:
First
AM session as consolidation (08:00-12:00)
Lunch hour range as consolidation (less than 100 points)
PM session breaking either side of the session range
Second
AM session trending lower (08:00-12:00)
Lunch hour range as consolidation (less than 100 points)
PM session trending higher
Third
AM session trending higher (08:00-12:00)
Lunch hour range as consolidation (less than 100 points)
PM session trending lower
After the session ends, the opening price at 13:00 is automatically drawn as it is a key point for the entry strategy.
The strategy can be monitored using a 5-minute or 15-minute timeframe as follows:
- Wait for a liquidity hunt (either the high or low of the lunch session range or AM is taken).
- If liquidity is taken, switch to the 1-minute timeframe and wait for a CISD (change in the state of delivery), where the price closes below an OB, or consider a breaker block or iFVG to enter the trade.
- Bullish entries should happen below the opening price at 13:00, and bearish entries should happen above.
- Consider a 1:2 reward ratio. However, runners can target the opposite side of the range that was not yet taken.
This indicator is for informational purposes only and you should not rely on any information it provides as legal, tax, investment, financial or other advice. Nothing provided by this indicator constitutes a solicitation, recommendation, endorsement or offer by cognyto or any third party service provider to buy or sell any securities or other financial instruments in this or any other jurisdiction in which such solicitation or offer would be unlawful under the securities laws of such jurisdiction.
US M2### Relevance and Functionality of the "US M2" Indicator
#### Relevance
The "US M2" indicator is relevant for several reasons:
1. **Macro-Economic Insight**: The M2 money supply is a critical indicator of the amount of liquidity in the economy. Changes in M2 can significantly impact financial markets, including equities, commodities, and cryptocurrencies.
2. **Trend Identification**: By analyzing the M2 money supply with moving averages, the indicator helps identify long-term and short-term trends, providing insights into economic conditions and potential market movements.
3. **Trading Signals**: The indicator generates bullish and bearish signals based on moving average crossovers and the difference between current M2 values and their moving averages. These signals can be useful for making informed trading decisions.
#### How It Works
1. **Data Input**:
- **US M2 Money Supply**: The indicator fetches the US M2 money supply data using the "USM2" symbol with a monthly resolution.
2. **Moving Averages**:
- **50-Period SMA**: Calculates the Simple Moving Average (SMA) over 50 periods (months) to capture short-term trends.
- **200-Period SMA**: Calculates the SMA over 200 periods to identify long-term trends.
3. **Difference Calculation**:
- **USM2 Difference**: Computes the difference between the current M2 value and its 50-period SMA to highlight deviations from the short-term trend.
4. **Amplification**:
- **Amplified Difference**: Multiplies the difference by 100 to make the deviations more visible on the chart.
5. **Bullish and Bearish Conditions**:
- **Bullish Condition**: When the current M2 value is above the 50-period SMA, indicating a positive short-term trend.
- **Bearish Condition**: When the current M2 value is below the 50-period SMA, indicating a negative short-term trend.
6. **Short-Term SMA of Amplified Difference**:
- **14-Period SMA**: Applies a 14-period SMA to the amplified difference to smooth out short-term fluctuations and provide a clearer trend signal.
7. **Plots and Visualizations**:
- **USM2 Plot**: Plots the US M2 data for reference.
- **200-Period SMA Plot**: Plots the long-term SMA to show the broader trend.
- **Amplified Difference Histogram**: Plots the amplified difference as a histogram with green bars for bullish conditions and red bars for bearish conditions.
- **SMA of Amplified Difference**: Plots the 14-period SMA of the amplified difference to track the trend of deviations.
8. **Moving Average Cross Signals**:
- **Bullish Cross**: Plots an upward triangle when the 50-period SMA crosses above the 200-period SMA, signaling a potential long-term uptrend.
- **Bearish Cross**: Plots a downward triangle when the 50-period SMA crosses below the 200-period SMA, signaling a potential long-term downtrend.
### Summary
The "US M2" indicator provides a comprehensive view of the US M2 money supply, highlighting significant trends and deviations. By combining short-term and long-term moving averages with amplified difference analysis, it offers valuable insights and trading signals based on macroeconomic liquidity conditions.
Equal Highs and LowsDescription:
The ‘Equal Highs and Lows’ indicator is a technical analysis tool that marks identical price levels on a trading chart using the current time-frame, assisting traders in identifying potential support and resistance zones or liquidity draws. It creates a horizontal line connecting points where the price has created equal highs and lows within a specified lookback period. Unique to this tool, it maintains a clean chart by removing the line once the price surpasses the equal highs or falls below the equal lows, ensuring only the currently relevant equal highs and lows are highlighted.
Features:
Customization Options: Users can adjust the appearance of the lines (color, width, and style) to match their chart setup or preferences. Users can also choose to extend the lines marking the equal highs/lows to the right of the chart making the equal high/low levels more easier to visualize.
User-Defined Lookback Length: The number of bars to look back for finding equal highs and lows can be set by the user, allowing for flexibility in different market conditions.
How It Works:
The indicator meticulously scans the chart over a user-specified lookback duration, identifying bars with matching high or low values that have not been mitigated on the current chat timeframe, thereby constructing an index of equal values. It subsequently connects these equal values on the chart with a line. While this intuitive indicator does not forecast future market trends, it emphasizes significant price levels derived from historical data.
Usage:
Identifying Support and Resistance: The lines drawn by the indicator can be used to identify potential support and resistance zones and/or draws of liquidity, which are crucial for making informed trading decisions.
Strategy Development: Traders can incorporate the visual cues provided by the indicator into their trading strategies, using them as one of the factors for entry or exit decisions.
Originality:
This indicator presents a distinctive method for pinpointing and illustrating equal highs and lows, granting traders a crucial insight into key price levels. It stands apart from conventional indicators by offering extensive personalization and employing a novel approach to augment chart analysis. Uniquely, it retains only unmitigated equal high/low levels on the chart, automatically discarding mitigated price levels once the price has reached that level.
Conclusion:
The "Equal Highs and Lows" indicator is a practical tool for traders looking to enhance their chart analysis with visual cues of significant price levels. Its customization options and innovative approach make it a valuable addition to the trading toolkit, suitable for various trading styles and strategies.
Stock Rating [TrendX_]# OVERVIEW
This Stock Rating indicator provides a thorough evaluation of a company (NON-FINANCIAL ONLY) ranging from 0 to 5. The rating is the average of six core financial metrics: efficiency, profitability, liquidity, solvency, valuation, and technical ratings. Each metric encompasses several financial measurements to ensure a robust and holistic evaluation of the stock.
## EFFICIENCY METRICS
1. Asset-to-Liability Ratio : Measures a company's ability to cover its liabilities with its assets.
2. Equity-to-Liability Ratio : Indicates the proportion of equity used to finance the company relative to liabilities.
3. Net Margin : Shows the percentage of revenue that translates into profit.
4. Operating Expense : Reflects the costs required for normal business operations.
5. Operating Expense Ratio : Compares operating expenses to total revenue.
6. Operating Profit Ratio : Measures operating profit as a percentage of revenue.
7. PE to Industry Relative PE/PB : Compares the company's PE ratio to the industry average.
## PROFITABILITY METRICS
1. ROA : Indicates how efficiently a company uses its assets to generate profit.
2. ROE : Measures profitability relative to shareholders' equity.
3. EBITDA : Reflects a company's operational profitability.
4. Free Cash Flow Margin : Shows the percentage of revenue that remains as free cash flow.
5. Revenue Growth : Measures the percentage increase in revenue over a period.
6. Gross Margin : Reflects the percentage of revenue exceeding the cost of goods sold.
7. Net Margin : Percentage of revenue that is net profit.
8. Operating Margin : Measures the percentage of revenue that is operating profit.
## LIQUIDITY METRICS
1. Current Ratio : Indicates the ability to cover short-term obligations with short-term assets.
2. Interest Coverage Ratio : Measures the ability to pay interest on outstanding debt.
3. Debt-to-EBITDA : Compares total debt to EBITDA.
4. Debt-to-Equity Ratio : Indicates the relative proportion of debt and equity financing.
## SOLVENCY METRICS
1. Altman Z-score : Predicts bankruptcy risk
2. Beneish M-score : Detects earnings manipulation.
3. Fulmer H-factor : Predicts business failure risk.
## VALUATION METRICS
1. Industry Relative PE/PB Comparison : Compares the company's PE and PB ratios to industry averages.
2. Momentum of PE, PB, and EV/EBITDA Multiples : Tracks the trends of PE, PB, and EV/EBITDA ratios over time.
## TECHNICAL METRICS
1. Relative Strength Index (RSI) : Measures the speed and change of price movements.
2. Supertrend : Trend-following indicator that identifies market trends.
3. Moving Average Golden-Cross : Occurs when a short-term MA crosses above mid-term and long-term MA which are determined by half-PI increment in smoothing period.
4. On-Balance Volume Golden-Cross : Measures cumulative buying and selling pressure.
Buffett Quality Score [Information Technology]Buffett Quality Score 'Information Technology': Assessing Tech Companies with Precision
The information technology sector is characterized by rapid innovation, high growth potential, and significant competition. To evaluate the financial health and performance of companies within this dynamic industry, the Buffett Quality Score employs a tailored set of financial metrics. This scoring system, inspired by the Piotroski F-Score methodology, assigns points based on specific financial criteria to provide a comprehensive quality assessment.
Scoring Methodology
The Buffett Quality Score is designed to assess the overall financial strength and quality of companies within the tech sector. Each selected financial metric is chosen for its relevance and importance in evaluating a company's performance and potential for sustainable growth. The score is computed by assigning points based on the achievement of specific thresholds for each indicator, with the total points determining the final score. This methodology ensures a nuanced analysis that captures the unique dynamics of the information technology industry.
Selected Financial Metrics and Criteria
1. Return on Invested Capital (ROIC) > 10.0%
Relevance: ROIC measures a company's efficiency in allocating capital to profitable investments. For tech companies, a ROIC above 10.0% indicates effective use of investment capital to generate strong returns, crucial for sustaining innovation and growth.
2. Return on Assets (ROA) > 5.0%
Relevance: ROA assesses how efficiently a company utilizes its assets to generate earnings. A ROA above 5.0% signifies that the company is effectively leveraging its assets, which is vital in the capital-intensive tech sector.
3. Revenue One-Year Growth > 10.0%
Relevance: High revenue growth indicates robust market demand and successful product or service offerings. For tech companies, where rapid scalability is common, growth exceeding 10.0% demonstrates significant market traction and expansion potential.
4. Gross Margin > 40.0%
Relevance: Gross margin reflects the proportion of revenue remaining after accounting for the cost of goods sold. In the tech sector, a gross margin above 40.0% indicates efficient production and high-value offerings, essential for maintaining competitive advantage.
5. Net Margin > 15.0%
Relevance: Net margin measures overall profitability after all expenses. A net margin above 15.0% demonstrates strong financial health and the ability to convert revenue into profit, highlighting the company's operational efficiency.
6. EPS One-Year Growth > 10.0%
Relevance: Earnings per share (EPS) growth indicates the company's ability to increase profitability per share. For tech firms, EPS growth above 10.0% signals positive earnings momentum, reflecting successful business strategies and market adoption.
7. Piotroski F-Score > 6.0
Relevance: The Piotroski F-Score assesses fundamental strength, including profitability, leverage, liquidity, and operational efficiency. A score above 6.0 suggests solid financial fundamentals and resilience in the competitive tech landscape.
8. Price/Earnings Ratio (Forward) < 25.0
Relevance: The forward P/E ratio compares current share price to expected future earnings. A ratio below 25.0 indicates reasonable valuation relative to growth expectations, important for identifying undervalued opportunities in the fast-paced tech sector.
9. Current Ratio > 1.5
Relevance: The current ratio evaluates short-term liquidity by comparing current assets to current liabilities. In the tech industry, a ratio above 1.5 ensures the company can meet its short-term obligations, essential for operational stability.
10. Debt to Equity Ratio < 1.0
Relevance: A lower debt to equity ratio signifies prudent financial management and reduced reliance on debt. For tech companies, which often require significant investment in R&D, a ratio below 1.0 highlights a strong financial structure.
Interpreting the Buffett Quality Score
0-4 Points: Indicates potential weaknesses across multiple financial areas, suggesting higher risk.
5 Points: Represents average performance, warranting further analysis to understand underlying factors.
6-10 Points: Reflects strong financial health and quality, positioning the company favorably within the competitive tech industry.
Conclusion
The Buffett Quality Score provides a strategic framework for evaluating tech companies, emphasizing critical financial indicators tailored to industry dynamics. By leveraging these insights, investors and analysts can make informed decisions, identifying companies poised for sustainable growth and performance in the ever-evolving tech landscape.
Disclaimer: The Buffett Quality Score serves as a tool for financial analysis and should not replace professional advice or comprehensive due diligence. Investors should conduct thorough research and consult with financial experts based on individual investment objectives.
Buffett Quality Score [Financials]Evaluating Financial Companies with the Buffett Quality Score 'Financials'
The financial sector, with its unique regulatory environment and market dynamics, requires a tailored approach to financial evaluation. The Buffett Quality Score is meticulously designed to assess the financial robustness and quality of companies within this sector. By focusing on industry-specific financial metrics, this scoring system provides valuable insights for investors and analysts navigating the complexities of the financial industry.
Scoring Methodology
Each selected financial metric contributes a point to the overall score if the specified condition is met. The combined score is a summation of points across all criteria, providing a comprehensive assessment of financial health and quality.
Selected Financial Metrics and Criteria
1. Altman Z-Score > 2.0
Relevance: The Altman Z-Score evaluates bankruptcy risk based on profitability, leverage, liquidity, solvency, and activity. In the financial sector, where market stability and solvency are critical, a score above 2.0 signifies a lower risk of financial distress.
2. Debt to Equity Ratio < 2.0
Relevance: A lower Debt to Equity Ratio signifies prudent financial management and reduced reliance on debt financing. This is particularly important for financial companies, which need to manage leverage carefully to avoid excessive risk.
3. Interest Coverage > 3.0
Relevance: The Interest Coverage Ratio measures a company's ability to meet its interest obligations from operating earnings. A ratio above 3.0 indicates that the company can comfortably cover its interest expenses, reducing the risk of default.
4. Return on Equity (ROE) > 10.0%
Relevance: ROE indicates the company's ability to generate profits from shareholder equity. An ROE above 10.0% suggests efficient use of capital and strong returns for investors, which is a key performance indicator for financial companies.
5. Return on Assets (ROA) > 1.0%
Relevance: ROA measures the company's ability to generate earnings from its assets. In the financial sector, where asset management is crucial, an ROA above 1.0% indicates effective use of assets to generate profits.
6. Net Margin > 10.0%
Relevance: Net Margin measures overall profitability after all expenses. A margin above 10.0% demonstrates strong financial performance and the ability to convert revenue into profit effectively.
7. Revenue One-Year Growth > 5.0%
Relevance: Revenue growth reflects market demand and company expansion. In the financial sector, where growth can be driven by new products and services, revenue exceeding 5.0% indicates successful market penetration and business expansion.
8. EPS One-Year Growth > 5.0%
Relevance: EPS growth reflects the company's ability to increase earnings per share over the past year. For financial companies, growth exceeding 5.0% signals positive earnings momentum and potential market strength.
9. Price/Earnings Ratio (Forward) < 20.0
Relevance: The Forward P/E Ratio reflects investor sentiment and earnings expectations. A ratio below 20.0 suggests reasonable valuation relative to earnings projections, which is important for investors seeking value and growth opportunities in the financial sector.
10. Piotroski F-Score > 6.0
Relevance: The Piotroski F-Score assesses fundamental strength, emphasizing profitability, leverage, liquidity, and operating efficiency. For financial companies, a score above 6.0 indicates strong financial health and operational efficiency.
Interpreting the Buffett Quality Score
0-4 Points: Indicates potential weaknesses across multiple financial areas, warranting careful consideration and risk assessment.
5 Points: Suggests average performance based on sector-specific criteria, requiring further analysis to determine investment viability.
6-10 Points: Signifies strong financial health and quality, positioning the company favorably within the competitive financial industry.
Conclusion
The Buffett Quality Score offers a strategic framework for evaluating financial companies, emphasizing critical financial indicators tailored to industry dynamics. By leveraging these insights, stakeholders can make informed decisions and identify companies poised for sustainable growth and performance in the evolving financial landscape.
Disclaimer: The Buffett Quality Score serves as a tool for financial analysis and should not replace professional advice or comprehensive due diligence. Investors should conduct thorough research and consult with financial experts based on individual investment objectives.
Buffett Quality Score [Consumer Staples]Evaluating Consumer Staples Companies with the Buffett Quality Score
In the world of consumer staples, where stability and consistent performance are paramount, the Buffett Quality Score provides a comprehensive framework for assessing financial health and quality. This specialized scoring system is tailored to capture key aspects that are particularly relevant in the consumer staples sector, influencing investment decisions and strategic evaluations.
Selected Financial Metrics and Criteria
1. Gross Margin > 25.0%
Relevance: Consumer staples companies often operate in competitive markets. A Gross Margin exceeding 25.0% signifies efficient cost management and pricing strategies, critical for sustainable profitability amidst market pressures.
2. Net Margin > 5.0%
Relevance: Net Margin > 5.0% reflects the ability of consumer staples companies to generate bottom-line profits after accounting for all expenses, indicating operational efficiency and profitability.
3. Return on Assets (ROA) > 5.0%
Relevance: ROA > 5.0% measures how effectively consumer staples companies utilize their assets to generate earnings, reflecting operational efficiency and resource utilization.
4. Return on Equity (ROE) > 10.0%
Relevance: ROE > 10.0% indicates efficient capital deployment and shareholder value creation, fundamental for sustaining growth and competitiveness in the consumer staples industry.
5. Current Ratio > 1.5
Relevance: Consumer staples companies require strong liquidity to manage inventory and operational expenses. A Current Ratio > 1.5 ensures sufficient short-term liquidity to support ongoing operations.
6. Debt to Equity Ratio < 1.0
Relevance: With the need for stable finances, a Debt to Equity Ratio < 1.0 reflects prudent financial management and reduced reliance on debt financing, essential for long-term sustainability.
7. Interest Coverage Ratio > 3.0
Relevance: Consumer staples companies with an Interest Coverage Ratio > 3.0 demonstrate their ability to comfortably meet interest obligations, safeguarding against financial risks.
8. EPS One-Year Growth > 5.0%
Relevance: EPS growth > 5.0% indicates positive momentum and adaptability to changing market dynamics, crucial for consumer staples companies navigating evolving consumer preferences.
9. Revenue One-Year Growth > 5.0%
Relevance: Consistent revenue growth > 5.0% reflects market adaptability and consumer demand, highlighting operational resilience and strategic positioning.
10. EV/EBITDA Ratio < 15.0
Relevance: The EV/EBITDA Ratio < 15.0 reflects favorable valuation and earnings potential relative to enterprise value, offering insights into investment attractiveness and market competitiveness.
Interpreting the Buffett Quality Score
0-4 Points: Signals potential weaknesses across critical financial areas, warranting deeper analysis and risk assessment.
5 Points: Indicates average performance based on sector-specific criteria.
6-10 Points: Highlights strong financial health and quality, aligning with the stability and performance expectations of the consumer staples industry.
Conclusion
The Buffett Quality Score for consumer staples provides investors and analysts with a structured approach to evaluate and compare companies within this sector. By focusing on these essential financial metrics, stakeholders can make informed decisions and identify opportunities aligned with the stability and growth potential of consumer staples businesses.
Disclaimer: The Buffett Quality Score serves as a tool for financial evaluation and analysis. It is not a substitute for professional financial advice or investment recommendations. Investors should conduct thorough research and seek personalized guidance based on individual circumstances.
Buffett Quality Score [Materials]The Buffett Quality Score tailored for the Materials sector aims to assess the financial strength and quality of companies within this industry. Each selected financial ratio is strategically chosen to align with the unique characteristics and challenges prevalent in the Materials sector.
Selected Financial Ratios and Criteria:
1. Asset Turnover > 0.8
Relevance: In the Materials sector, efficient asset utilization is crucial for productivity and profitability. A high Asset Turnover (>0.8) indicates effective management of resources and operational efficiency.
2. Current Ratio > 1.5
Relevance: Materials companies often require adequate liquidity to manage inventory and operational expenses. A Current Ratio > 1.5 ensures sufficient short-term liquidity to support ongoing operations and investments.
3. Debt to Equity Ratio < 1.0
Relevance: Given the capital-intensive nature of Materials projects, maintaining a low Debt to Equity Ratio (<1.0) signifies prudent financial management with reduced reliance on debt financing, essential for stability amid industry fluctuations.
4. Gross Margin > 25.0%
Relevance: Materials companies deal with varying production costs and market pricing. A Gross Margin exceeding 25.0% reflects effective cost management and pricing strategies, critical for profitability in a competitive market.
5. EBITDA Margin > 15.0%
Relevance: Strong EBITDA margins (>15.0%) indicate robust operational performance and profitability, essential for sustaining growth and weathering industry-specific challenges.
6. Interest Coverage Ratio > 3.0
Relevance: The Materials sector is subject to market cyclicality and commodity price fluctuations. An Interest Coverage Ratio > 3.0 ensures the company's ability to service debt obligations, safeguarding against financial risks.
7. EPS One-Year Growth > 5.0%
Relevance: EPS growth > 5.0% demonstrates the company's ability to generate sustainable earnings amidst industry dynamics, reflecting positive investor sentiment and potential future prospects.
8. Revenue One-Year Growth > 5.0%
Relevance: Materials companies require consistent revenue growth (>5.0%) to support expansion initiatives and capitalize on market opportunities, indicative of operational resilience and adaptability.
9. Return on Assets (ROA) > 5.0%
Relevance: ROA > 5.0% showcases efficient asset utilization and profitability, essential metrics for evaluating performance and competitive positioning within the Materials industry.
10. Return on Equity (ROE) > 10.0%
Relevance: ROE > 10.0% reflects effective capital deployment and shareholder value creation, crucial for sustaining long-term growth and investor confidence in Materials sector investments.
Score Interpretation:
0-4 Points: Signals potential weaknesses across critical financial aspects, requiring in-depth analysis and risk assessment.
5 Points: Represents average performance based on sector-specific criteria.
6-10 Points: Indicates strong financial health and quality, demonstrating robustness and resilience within the demanding Materials industry landscape.
Development and Context:
The selection and weighting of these specific financial metrics underwent meticulous research and consideration to ensure relevance and applicability within the Materials sector. This scoring framework aims to provide actionable insights for stakeholders navigating investment decisions and evaluating company performance in the Materials industry.
Disclaimer: This information serves as an educational resource on financial evaluation methodology tailored for the Materials sector. It does not constitute financial advice or a guarantee of future performance. Consult qualified professionals for personalized financial guidance based on your specific circumstances and investment objectives.
Institutional Activity Index [AlgoAlpha]🌟 Introducing the Institutional Activity Index by AlgoAlpha 🌟
Welcome to a powerful new indicator designed to gauge institutional trading activity! This cutting-edge tool combines volume analysis with price movement to derive a unique index that shines a spotlight on potential institutional moves in the market. 🎯📈
Key Features:
🔍 Normalization Period : Adjust the look-back period for normalization to tailor the sensitivity to your trading strategy.
📊 Moving Average Types : Choose from SMA, HMA, EMA, RMA, WMA, or VWMA to smooth the index and pinpoint trends.
🌈 Color-Coded Trends : Instant visual feedback on index trend direction with customizable up and down colors.
🔔 Alerts : Set alerts for when the index shows increasing activity, decreasing activity, or has reached a peak.
Quick Guide to Using the Institutional Activity Index:
1. 📝 Add the Indicator: Add the indicator to favorites. Adjust the normalization period, MA type, and peak detection settings to match your trading style.
2. 📈 Market Analysis: Similar to volume that reflects the amount of collective trading activity, this index reflects an estimate of the amount of trading activity by institutions. A higher value means that institutions are trading the asset more, this can mean selling or buying as the indicator does not indicate direction . Look out for peak signals, which may indicate that institutions have already secured positions in preparation for a move in price.
3. 🔔 Set Alerts: Enable alerts to notify you when there is a significant change in the activity levels or a new peak is detected, allowing for timely decisions without constant monitoring.
How It Works: 🛠
It is common knowledge that institutions trade with high amounts of capital, but employ tactics so as to not move the price significantly when entering on positions. This can be done by entering in times of high liquidity so that when an institution buys, there are enough sellers to cancel out the price movements and prevent a huge pump in price and vice versa. The Institutional Activity Index calculates liquidity by measuring the volume relative to the price range (close-open). This value is smoothed using median and a user defined moving average type and period, enhancing its clarity. If normalization is enabled, the index is adjusted relative to its range over a user-defined period, making the data comparable across different conditions.
Embrace this innovative tool to enhance your trading insights and strategies! 🚀✨
HTF Matrix TableThis is a Higher Time Frame Table like the Intra-Day Table that I also have available.
ICT stresses time and liquidity levels in his teachings. This table helps to easily locate these key Time-based price levels. You can use these levels to determine your directional bias and to help generate your narrative for where the market is going.
This indicator creates a table that gives you the price for the following liquidity levels:
*Price* - Current Price
PMH - Previous Month High
PMO - Previous Month Open
PM MT - Previous Month Mean Threshold (Midpoint of candle body)
(Calculated by:
if pmo > pmc
pm_mt := ((pmo-pmc)/2)+pmc
if pmo < pmc
pm_mt := ((pmc-pmo)/2)+pmo)
PMC - Previous Month Close
PML - Previous Month Low
PWH - Previous Week High
PWO - Previous Week Open
PW MT - Previous Week Mean Threshold (Midpoint of candle body)
Calculated by:
if pwo > pwc
pw_mt := ((pwo-pwc)/2)+pwc
if pwo < pwc
pw_mt := ((pwc-pwo)/2)+pwo)
PWC - Previous Week Close
PWL - Previous Week Low
PDO - Previous Day Open
PDH - Previous Day High
PDL - Previous Day Low
PDC - Previous Day Close
PDEQ - Equilibrium of the previous day's range.
(Calculated by math.abs(((pdh-pdl)/2)+pdl))
PDH2 - Two Days Back High
PDL2 - Two Days Back Low
PDH3 - Three Days Back High
PDL3 - Three Days Back Low
Gives you the opening price for the following times:
Midnight Open
NY Open
Lets you set the time for the Asia and London sessions and will give the high and low for those two sessions.
Asia High
Asia Low
London High
London Low
Ability to hide either the table or lines.
The levels are sorted descending in price in the table, with the background colored based on their relation to price. The prices are also plotted on the chart based on the range you specify in relation to the current price. These lines are also colored based on their relation to price.
This indicator does not give you anything but the price at a specific time, you must determine your own bias and narrative based on the levels that are given.
The indicator runs on the seconds chart.
Multiple Indicators Screener v2After taking the approval of Mr. QuantNomad
Multiple Indicators Screener by QuantNomad
New lists have been modified and added
Built-in indicators:
RSI (Relative Strength Index): Provides trading opportunities based on overbought or oversold market conditions.
MFI (Cash Flow Index): Measures the flow of cash into or from assets, which helps in identifying buying and selling areas.
Williams Percent Range (WPR): Measures how high or low the price has been in the last time period, giving signals of periods of saturation.
Supertrend: Used to determine market direction and potential entry and exit locations.
Volume Change Percentage: Provides an analysis of the volume change percentage, which helps in identifying demand and supply changes for assets.
How to use:
Users can choose which symbols they want to monitor and analyze using a variety of built-in indicators.
The indicator provides visual signals that help traders identify potential trading opportunities based on the selected settings.
RSI in purple = buy weak liquidity (safe entry).
MFI in yellow = Liquidity
WPR in blue = RSI, MFI and WPR in oversold areas for all.
Allows users to customize the display locations and appearance of the cursor to their personal preferences.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
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فاحص لمؤشرات متعددة مع مخرجات جدول شاملة لتسهيل مراقبة الكثير من العملات تصل الى 99 في وقت واحد
بختصر الشرح
ظهور اللون البنفسجي يعني كمية الشراء ضعف السيولة .
ظهور اللون الازرق جميع المؤشرات وصلة الى مرحلة التشبع البيعي ( دخول آمن )
ظهور اللون الاصفر يعني السيولة ضعفين الشراء ( عكس اتجاه قريب ) == ركزو على هاللون خصوصا مع عملات الخفيفة
Volume Profile / Order Blocks + Demandas e Ofertas FortesThis indicator combines two powerful technical analysis tools into one: the Volume Profile Bar-Magnified Order Blocks and Strong Demands and Offers.
The Volume Profile Bar-Magnified Order Blocks identifies and highlights significant areas of volume and price on the chart, helping traders identify zones of high liquidity and potential trend reversal areas. With advanced customization features such as choice of mitigation method and grid adjustments, traders can tailor the indicator to their individual preferences.
Alongside the Volume Profile, Strong Demands and Offers add an additional layer of analysis, highlighting points of interest where buying or selling pressure is strongest. This helps traders identify key areas where the balance of power may shift, providing potential entry or exit signals.
Key Features:
Automatic identification of significant volume areas.
Highlighting of zones of high liquidity and potential trend reversal areas.
Advanced customization, including choice of mitigation method and grid adjustments.
Highlighting of strong demands and offers to identify key areas of buying or selling pressure.
How to Use:
Add the indicator to your chart.
Adjust the parameters according to your preferences.
Observe the highlighted areas of volume and price on the chart.
Look for entry or exit signals based on the identified areas of interest.
This indicator is a valuable tool for traders looking to enhance their technical analysis based on volume and market dynamics. Try it out in your trading strategy and discover how it can help you make more informed and accurate decisions.
BINANCE-BYBIT Cross Chart: Spot-Perpetual CorrelationName: "Binance-Bybit Cross Chart: Spot-Perpetual Correlation"
Category: Scalping, Trend Analysis
Timeframe: 1M, 5M, 30M, 1D (depending on the specific technique)
Technical analysis: This indicator facilitates a comparison between the price movements shown on the Binance spot chart and the Bybit perpetual chart, with the aim of discerning the correlation between the two charts and identifying the dominant market trends. It automatically generates the corresponding chart based on the ticker selected in the primary chart. When a Binance pair is selected in the main chart, the indicator replicates the Bybit perpetual chart for the same pair and timeframe, and vice versa, selecting the Bybit perpetual chart as the primary chart generates the Binance spot chart.
Suggested use: You can utilize this tool to conduct altcoin trading on Binance or Bybit, facilitating the comparison of price actions and real-time monitoring of trigger point sensitivity across both exchanges. We recommend prioritizing the Binance Spot chart in the main panel due to its typically longer historical data availability compared to Bybit.
The primary objective is to efficiently and automatically manage the following three aspects:
- Data history analysis for higher timeframes, leveraging the extensive historical data of the Binance spot market. Variations in indicators such as slow moving averages may arise due to differences in historical data between exchanges.
- Assessment of coin liquidity on both exchanges by observing candlestick consistency on smaller timeframes or the absence of gaps. In the crypto market, clean charts devoid of gaps indicate dominance and offer enhanced reliability.
- Identification of precise trigger point levels, including daily, previous day, or previous week highs and lows, which serve as sensitive areas for breakout or reversal operations.
All-Time High (ATH) and All-Time Low (ATL) levels may vary significantly across exchanges due to disparities in historical data series.
This tool empowers traders to make informed decisions by leveraging historical data, liquidity insights, and precise trigger point identification across Binance Spot and Bybit Perpetual market.
Configuration:
EMA length:
- EMA 1: Default 5, user configurable
- EMA 2: Default 10, user configurable
- EMA 3: Default 60, user configurable
- EMA 4: Default 223, user configurable
- Additional Average: Optional display of an additional average, such as a 20-period average.
Chart Elements:
- Session separator: Indicates the beginning of the current session (in blue)
- Background: Indicates an uptrend (60 > 223) with a green background and a downtrend (60 < 223) with a red background.
Instruments:
- EMA Daily: Shows daily averages on an intraday timeframe.
- EMA levels 1h - 30m: Shows the levels of the 1g-30m EMAs.
- EMA Levels Highest TF: Provides the option to select additional EMA levels from the major timeframes, customizable via the drop-down menu.
- "Hammer Detector: Marks hammers with a green triangle and inverted hammers with a red triangle on the chart
- "Azzeramento" signal on TF > 30m: Indicates a small candlestick on the EMA after a dump.
- "No Fomo" signal on TF < 30m: Indicates a hyperextended movement.
Trigger Points:
- Today's highs and lows: Shows the opening price of the day's candlestick, along with the day's highs and lows (high in purple, low in red, open in green).
- Yesterday's highs and lows: Displays the opening price of the daily candlestick, along with the previous day's highs and lows (high in yellow, low in red).
You can customize the colors in "Settings" > "Style".
It is best used with the Scalping The Bull indicator on the main panel.
Credits:
@tumiza999: for tests and suggestions.
Thanks for your attention, happy to support the TradingView community.
[AlbaTherium] MTF External Ranges Analysis - ERA-Orion for SMC MTF External Ranges Analysis - ERA - Orion for Smart Money Concepts
Introduction:
The MTF External Ranges Analysis - ERA - Orion offers enhanced insights into multi-timeframe external structure points, swing structure points, POIs (Points of Interest), and order blocks (OB) . By incorporating this enhancement, your multi-timeframe analysis are streamlined, simplifying the process and reducing chart workload, no need for manual chart drawing anymore, stay focus on Low Time Frame and get High Time Frame insights in one single Time frame.
This identification process remains effective even when focusing on Lower Time Frames (LTF), providing detailed insights without sacrificing the broader market perspective.
The MTF External Ranges Analysis - ERA – Orion is specifically designed to be used in conjunction with OptiStruct™ Premium for Smart Money Concepts . This strategic combination enhances the workflow of identifying optimal entry points. OptiStruct acts as the analysis tool for Lower Time Frames (LTF), zeroing in on immediate interest areas, while Orion expands this analysis to Higher Time Frames (HTF), providing a broader view of market trends and importants key levels . The integration of Orion with OptiStruct seamlessly merges LTF and HTF analyses, ensuring a thorough understanding of market dynamics for informed and strategic decision-making. This toolkit in one package assembly is pivotal for traders relying on Smart Money Concepts, offering unmatched clarity and actionable insights to navigate the markets effectively.
This tool offers an advanced smart money technical analysis to improve your trading experience. It introduces four key concepts:
Main Features:
Entries Enhancements
Inducements HTF
High/Low Markings HTF
Multiple Timeframes and Confluences on Extreme, Dec and SMT Order Blocks
By integrating these concepts into one, traders can identify high-probability zones across multiple timeframes and develop a thorough understanding of market dynamics. These confluence zones enhance order block skills and potential, establishing them as essential pillars in smart money trading strategies and enabling traders to make more informed decisions.
Settings Overview:
HTF Settings Enable HTF Analysis
Select timeframe {Select or 4H Chart}
Labels Alignment for Lines and Boxes
Inside bar ranges HTF
Break of Structure /Change of Character HTF
Inducements HTF
High/Low Markings HTF
High/Low Sweeps HTF
Extreme Order Blocks HTF
Decisional Order Blocks HTF
Smart Money Traps HTF
IDM Demands and Supplies HTF
Historical Order Blocks HTF
OB Mitigation HTF {touch/ extended}
Understanding the Features:
Chapter 1: Entries Enhancements
In this chapter, we delve into strategies to refine trading entries, focusing on the multi-timeframe analysis of extreme or decisional order blocks in the High Time Frame timeframe as a key point of interest. We highlight the significance of transitioning to the Low Time Frame chart for observing pivotal shifts in market behavior. By examining these concepts, traders can gain deeper insights into market dynamics and make more informed entries decisions at critical junctures.
Practical Example:
We had an Order Block Extreme on the 1-hour timeframe, and currently, we are on the recommended chart for trade entry, which is the 5-minute timeframe. We are patiently waiting to observe a 5-minute ChoCh in the market to enter a buying position since it's an OB Extreme Demand on the 1-hour timeframe. Here, it's crucial and important to focus on the entry timeframe rather than checking what's happening in the higher timeframe. The indicator facilitates this task as it provides us with real-time perspective and visibility of everything happening in the higher timeframe.
Chapter 2: Inducements HTF
It is important and useful to be aware of the various liquidity points across the different timeframes we use; sometimes, a reliable entry point in the Lower Time Frame (LTF) may be surrounded by inducements. Consequently, this point becomes unreliable, and prior to the arrival of this functionality, such anomalies could not be detected, especially when focusing on the market in the LTF. From now on, there will be no more such issues.
Practical Example:
Suppose we identify an Order Block Extreme on the 5M timeframe, indicating a potential entry level. However, when we switch to the 5M timeframe to look for an entry point, we observe an accumulation of inducements around this Order Block coming from a higher timeframe, whether it's M15 or H1. This suggests a potential weakness in the entry point and significant market liquidity, which will act as a trap zone. Before the introduction of this feature, we might have missed this crucial observation, but now we can detect these anomalies and adjust our strategy accordingly.
The only practical way to see theses confluences is to use this Indicator, see the example below
Chapter 03: High/Low – Bos - ChoCh Markings HTF
The High/Low Markings HTF feature in the MTF External Ranges Analysis - ERA - Orion provides a comprehensive view into the market's heartbeat across different timeframes, right from within the convenience of the Lower Time Frame (LTF). It meticulously highlights pivotal shifts, allowing traders to seamlessly discern market sentiment and anticipate potential price reversals without needing to toggle between multiple charts. This innovation ensures that critical market movements and sentiment across various timeframes are visible and actionable from a single, focused LTF perspective, enhancing decision-making and strategic planning in trading activities.
Understanding High/Low Markings in HTF Analysis
High/Low Markings in High Time Frame (HTF) analysis mark the market's extremities within a given period, pinpointing potential areas for reversals or continuation and delineating crucial support and resistance levels. These markings are not arbitrary but represent significant market responses, serving as essential indicators for traders and analysts to gauge market momentum and sentiment.
The Role of HTF in Market Analysis
HTF analysis extends a comprehensive view over market movements, distinguishing between ephemeral fluctuations and substantial trend shifts. By scrutinizing these high and low points across wider time frames, analysts can unravel the underlying market momentum, enabling more strategic, informed trading decisions.
Identifying High/Low Markings
Identifying these crucial points entails detailed chart analysis over extended durations—daily, weekly, or monthly. The search focuses on the utmost highs and lows within these periods, which are more than mere points on a chart. They are significant market levels that have historically elicited robust market reactions, serving as key indicators for future market behavior.
Real-world Example:
Chapter 04: Multiple Timeframes and Confluences on Extreme, Dec and SMT Order Blocks Across HTF
The Orion indicator serves as a bridge between the multiple dimensions of the market, enabling a unified and strategic interpretation of potential movements. It's an indispensable tool for those seeking to capitalize on major opportunity zones, where the convergence of diverse perspectives creates ideal conditions for significant market movements.
Designed to navigate through the data of different timeframes and market analysis, Orion provides a clear and consolidated view of major points of interest. With this indicator, traders can not only spot opportunity zones where consensus is strongest but also adjust their strategies based on the dynamic interaction of various market participants, all while remaining within the Lower Time Frame (LTF).
Conclusion:
MTF External Ranges Analysis - ERA - Orion for Smart Money Concepts as “ The Orion ” indicator captures consensus among scalpers, day traders , swing traders, and investors, turning key areas into major opportunities. It allows for precise identification of areas of interest by analyzing the convergence of actions from various market participants. In short, Orion is crucial for detecting and leveraging the most promising points of convergence in the market.
This identification occurs even while focusing on Lower Time Frames (LTF), allowing for detailed insights without losing the broader market perspective.
This document provides an extensive overview of MTF External Ranges Analysis - ERA - Orion , emphasizing its importance in comprehending market dynamics and utilizing essential smart money concepts trading principles.
