Profitability Power RatioProfitability Power Ratio
The Profitability Power Ratio is a financial metric designed to assess the efficiency of a company's operations by evaluating the relationship between its Enterprise Value (EV) and Return on Equity (ROE). This ratio provides insights into how effectively a company generates profits relative to its equity and overall valuation.
Qualities and Interpretations:
1. Efficiency Benchmark: The Profitability Power Ratio serves as a benchmark for evaluating how efficiently a company utilizes its equity capital to generate profits. A higher ratio indicates that the company is generating significant profits relative to its valuation, reflecting efficient use of invested capital.
2. Financial Health Indicator: This ratio can be used as an indicator of financial health. A consistently high or improving ratio over time suggests strong operational efficiency and sustainable profitability.
3. Investment Considerations: Investors can use this ratio to assess the attractiveness of an investment opportunity. A high ratio may signal potential for good returns, but it's important to consider the underlying reasons for the ratio's level to avoid misinterpretation.
4. Risk Evaluation: An excessively high Profitability Power Ratio could also signal elevated risk. It may indicate aggressive financial leveraging or unsustainable growth expectations, which could pose risks during economic downturns or market fluctuations.
Interpreting the Ratio:
1. Higher Ratio: A higher Profitability Power Ratio typically signifies efficient capital utilization and strong profitability relative to the company's valuation.
2. Lower Ratio: A lower ratio may suggest inefficiencies in capital allocation or lower profitability relative to enterprise value.
3. Benchmarking: Compare the company's ratio with industry peers and historical performance to gain deeper insights into its financial standing and operational efficiency.
Using the Indicator:
The Profitability Power Ratio is plotted on a chart to visualize trends and fluctuations over time. Users can customize the color of the plot to emphasize this metric and integrate it into their financial analysis toolkit for comprehensive decision-making.
Disclaimer: The Profitability Power Ratio is a financial metric designed for informational purposes only and should not be considered as financial or investment advice. Users should conduct thorough research and analysis before making any investment decisions based on this indicator. Past performance is not indicative of future results. All investments involve risks, and users are encouraged to consult with a qualified financial advisor or professional before making investment decisions.
Fundamental Analysis
Dividend-to-ROE RatioDividend-to-ROE Ratio Indicator
The Dividend-to-ROE Ratio indicator offers valuable insights into a company's dividend distribution relative to its profitability, specifically comparing the Dividend Payout Ratio (proportion of earnings as dividends) to the Return on Equity (ROE), a measure of profitability from shareholder equity.
Interpretation:
1. Higher Ratio: A higher Dividend-to-ROE Ratio suggests a stable dividend policy, where a significant portion of earnings is returned to shareholders. This can indicate consistent dividend payments, often appealing to income-seeking investors.
2. Lower Ratio: Conversely, a lower ratio implies that the company retains more earnings for growth, potentially signaling a focus on reinvestment for future expansion rather than immediate dividend payouts.
3. Excessively High Ratio: An exceptionally high ratio may raise concerns. While it could reflect a generous dividend policy, excessively high ratios might indicate that a company is distributing more earnings than it can sustainably afford. This could potentially hinder the company's ability to reinvest in its operations, research, or navigate economic downturns effectively.
Utility and Applications:
The Dividend-to-ROE Ratio can be particularly useful in the following scenarios:
1. Income-Oriented Investors: For investors seeking consistent dividend income, a higher ratio signifies a company's commitment to distributing profits to shareholders, potentially aligning with income-oriented investment strategies.
2. Financial Health Assessment: Analysts and stakeholders can use this ratio to gauge a company's financial health and dividend sustainability. It provides insights into management's capital allocation decisions and strategic focus.
3. Comparative Analysis: When comparing companies within the same industry, this ratio helps in benchmarking dividend policies and identifying outliers with unusually high or low ratios.
Considerations:
1. Contextual Analysis: Interpretation should be contextualized within industry standards and the company's financial history. Comparing the ratio with peers in the same sector can provide meaningful insights.
2. Financial Health: It's crucial to evaluate this indicator alongside other financial metrics (like cash flow, debt levels, and profit margins) to grasp the company's overall financial health and sustainability of its dividend policy.
Disclaimer: This indicator is for informational purposes only and does not constitute financial advice. Investors should conduct thorough research and consult with financial professionals before making investment decisions based on this ratio.
CAPEX RatioUnderstanding the CAPEX Ratio: An Essential Financial Metric
Introduction
In the world of finance, understanding how companies allocate their resources and reinvest their earnings is crucial for investors and analysts. One fundamental metric used to assess a company's investment behavior is the CAPEX Ratio. This article delves into what the CAPEX Ratio signifies, its advantages, and how to interpret its implications.
What is the CAPEX Ratio?
The CAPEX Ratio, short for Capital Expenditure Ratio, is a financial indicator that measures the proportion of a company's capital expenditures (CAPEX) relative to various financial metrics such as revenue, free cash flow, net income, or total assets. CAPEX represents investments made by a company to acquire or maintain its physical assets.
Interpreting the Results
Each variant of the CAPEX Ratio provides unique insights into a company's financial strategy:
• CAPEX to Revenue Ratio: This ratio shows what portion of a company's revenue is being reinvested into capital investments. A higher ratio might indicate aggressive expansion plans or a need for infrastructure upgrades.
• CAPEX to Free Cash Flow Ratio: By comparing CAPEX with free cash flow, this ratio reveals how much of a company's available cash is dedicated to capital investments. It helps assess financial health and sustainability.
• CAPEX to Net Income Ratio: This ratio measures how much of a company's net income is being channeled back into capital expenditures. A high ratio relative to net income could signal a company's commitment to growth and development.
• CAPEX to Total Assets Ratio: This metric assesses the proportion of total assets being allocated towards capital expenditures. It provides a perspective on the company's investment intensity relative to its overall asset base.
Advantages of Using CAPEX Ratios
• Insight into Investment Strategy: Helps investors understand where a company is directing its resources.
• Evaluation of Financial Health: Indicates how efficiently a company is reinvesting profits or available cash.
• Comparative Analysis: Enables comparisons across companies or industries to gauge investment priorities.
How to Use the CAPEX Ratio
• Comparative Analysis: Compare the CAPEX Ratios over time or against industry peers to spot trends or outliers.
• Investment Decision-Making: Consider CAPEX Ratios alongside other financial metrics when making investment decisions.
Conclusion
In conclusion, the CAPEX Ratio is a valuable financial metric that offers deep insights into a company's investment behavior and financial health. By analyzing different variants of this ratio, investors and analysts can make informed decisions about a company's growth prospects and financial stability.
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! 🚀✨
Fair Value Calculator V 1.0Fair Value Calculator V 1.0
This indicator calculates the fair value of a stock based on the revenue growth rate and net profit margin of a company, providing a quick estimate of its intrinsic worth. The calculation takes into account:
Current Revenue: The company's current revenue
5-Year Growth Rate: Expected revenue annual growth rate (CAGR) over the next 5 years
Average PE Ratio: The average Price-to-Earnings ratio for the next 5 years
Average Profit Margin: The average profit margin for the next 5 years
Share Outstanding: The total number of shares outstanding
Yearly Share Buyback Rate: The percentage of shares bought back by the company each year
Discount Rate: The rate used to calculate the present value of the fair value
Using these inputs, the indicator estimates the fair value of the stock, providing a valuable tool for investors and traders to make informed decisions.
Note: all values can be adjusted by the user by entering the desired value and selecting the item in the setup menu.
How it works
The indicator calculates the future revenue based on the current revenue and the expected revenue annual growth rate (CAGR).
It then estimates the future earnings using the average profit margin.
The future price is calculated using the exit value of the PE ratio.
The present value of the fair value is calculated using the discount rate.
The indicator adjusts the fair value based on the yearly share buyback rate.
Benefits
Provides a quick but valuable estimate of a stock's fair value based on the revenue growth and the expected profit.
Helps investors and traders identify undervalued or overvalued stocks.
Allows users to adjust inputs to suit their own assumptions and scenarios.
Note
This indicator is for informational purposes only and should not be considered as investment advice. Always do your own research and consider multiple perspectives before making investment decisions.
Crypto Realized Profits/Losses Extremes [AlgoAlpha]🌟🚀 Introducing the Crypto Realized Profits/Losses Extremes Indicator by AlgoAlpha 🚀🌟
Unlock the potential of cryptocurrency markets with our cutting-edge On-Chain Pine Script™ indicator, designed to highlight extreme realized profit and loss zones! 🎯📈
Key Features:
✨ Realized Profits/Losses Calculation: Uses real-time data from the blockchain to monitor profit and loss realization events.
📊 Multi-Crypto Compatibility: The Indicator is compatible on other Crypto tickers besides Bitcoin.
⚙️ Customizable Sensitivity: Adjust the look-back period, normalization period, and deviation thresholds to tailor the indicator to your trading style.
🎨 Visual Enhancements: Choose from a variety of colors for up and down trends, and toggle extreme profit/loss overlay for easy viewing.
🔔 Integrated Alerts: Set up alerts for high and extreme profit or loss conditions, helping you stay ahead of significant market movements.
🔍 How to Use:
🛠 Add the Indicator: Add the indicator to favorites. Customize settings like period lengths and deviation thresholds according to your needs.
📊 Market Analysis: Monitor the main oscillator and the bands to understand current profit and loss extremes in the market. When the oscillator is at the upper band, this means that the market is doing really well and traders/investors will be likely to take profit and cause a reversal. The opposite is true when the oscillator reaches the lower band. The main oscillator can also be used for trend analysis.
🔔 Set Alerts: Configure alerts to notify you when the market enters a zone of high profit or loss, or during trend changes, enabling timely decisions without constant monitoring.
How It Works:
The indicator calculates a normalized area under the RSI curve applied on on-chain data regarding the number of wallets in profit. It employs a custom "src" variable that aggregates data from the blockchain about profit and loss addresses, adapting to intraday or longer timeframes as needed. The main oscillator plots this normalized area, while the upper and lower bands are plotted based on a deviation metric to identify extreme conditions. Colored fills between these bands visually denote these zones. For interaction, the indicator plots bubbles for extreme profits or losses and provides optional bar coloring to reflect the current market trend.
🚀💹 Enjoy a comprehensive, customizable, and visually engaging tool that helps you stay ahead in the fast-paced crypto market!
US Net LiquidityAnalysis of US Net Liquidity: A Comprehensive Overview
Introduction:
The "US Net Liquidity" indicator offers a detailed analysis of liquidity conditions within the United States, drawing insights from critical financial metrics related to the Federal Reserve (FED) and other government accounts. This tool enables economists to assess liquidity dynamics, identify trends, and inform economic decision-making.
Key Metrics and Interpretation:
1. Smoothing Period: This parameter adjusts the level of detail in the analysis by applying a moving average to the liquidity data. A longer smoothing period results in a smoother trend line, useful for identifying broader liquidity patterns over time.
2. Data Source (Timeframe): Specifies the timeframe of the data used for analysis, typically daily (D). Different timeframes can provide varying perspectives on liquidity trends.
3. Data Categories:
- FED Balance Sheet: Represents the assets and liabilities of the Federal Reserve, offering insights into monetary policy and market interventions.
- US Treasury General Account (TGA): Tracks the balance of the US Treasury's general account, reflecting government cash management and financial stability.
- Overnight Reverse Repurchase Agreements (RRP): Highlights short-term borrowing and lending operations between financial institutions and the Federal Reserve, influencing liquidity conditions.
- Earnings Remittances to the Treasury: Indicates revenues transferred to the US Treasury from various sources, impacting government cash flow and liquidity.
4. Moving Average Length: Determines the duration of the moving average applied to the data. A longer moving average length smoothens out short-term fluctuations, emphasizing longer-term liquidity trends.
Variation Lookback Length: Specifies the historical period used to assess changes and variations in liquidity. A longer lookback length captures more extended trends and fluctuations.
Interpretation:
1. Data Retrieval: Real-time data from specified financial instruments (assets) is retrieved to calculate balances for each category (FED, TGA, RRP, Earnings Remittances).
2. Global Balance Calculation: The global liquidity balance is computed by aggregating the balances of individual categories (FED Balance - TGA Balance - RRP Balance - Earnings Remittances Balance). This metric provides a comprehensive view of net liquidity.
3. Smoothed Global Balance (SMA): The Simple Moving Average (SMA) is applied to the global liquidity balance to enhance clarity and identify underlying trends. A rising SMA suggests improving liquidity conditions, while a declining SMA may indicate tightening liquidity.
Insight Generation and Decision-Making:
1. Trend Analysis: By analyzing smoothed liquidity trends over time, economists can identify periods of liquidity surplus or deficit, which can inform monetary policy decisions and market interventions.
2. Forecasting: Understanding liquidity dynamics aids in economic forecasting, particularly in predicting market liquidity, interest rate movements, and financial stability.
3. Policy Implications: Insights derived from this analysis tool can guide policymakers in formulating effective monetary policies, managing government cash flow, and ensuring financial stability.
Conclusion:
The "US Net Liquidity" analysis tool serves as a valuable resource for economists, offering a data-driven approach to understanding liquidity dynamics within the US economy. By interpreting key metrics and trends, economists can make informed decisions and contribute to macroeconomic stability and growth.
Disclaimer: This analysis is based on real-time financial data and should be used for informational purposes only. It is not intended as financial advice or a substitute for professional expertise.
[Comparative CPI SGM]Code Explanation
User Inputs:
len: Defines the period over which CPI changes are calculated, with selectable options of 12, 6, and 3 months.
CP1 and CP2: These are the economic zones whose CPI data are being compared. The options include CPI from various regions like the EU, USA, UK, etc.
Calculating and Comparing Changes:
Calculates the annual change for each CPI and then computes the difference between these two changes.
Trading Utility
In trading, CPI variations are key indicators of inflation within different economic regions. Monetary policy decisions by central banks, heavily influenced by these data, significantly impact financial markets, especially in forex and bond markets.
Monetary Policy Forecasting:
If inflation in one region is significantly higher than in another, the central bank might raise interest rates, potentially strengthening that region's currency.
Currency Trading Strategy:
Traders might use this indicator to speculate on currency pair movements. For example, if US CPI is rising faster than the EU CPI, this might suggest a potential appreciation of the USD against the EUR.
Macroeconomic Analysis:
Understanding where inflation pressures are strongest can guide longer-term investment decisions, such as choosing between emerging and developed markets.
[BT] NedDavis Series: CPI Minus 5-Year Moving Average🟧 GENERAL
The script works on the Monthly Timeframe and has 2 main settings (explained in FEATURES ). It uses the US CPI data, reported by the Bureau of Labour Statistics.
🔹Functionality 1: The main idea is to plot the distance between the CPI line and the 5 year moving average of the CPI line. This technique in mathematics is called "deviation from the moving average". This technique is used to analyse how has CPI previously acted and can give clues at what it might do in the future. Economic historians use such analysis, together with specific period analysis to predict potential risks in the future (see an example of such analysis in HOW TO USE section. The mathematical technique is a simple subtraction between 2 points (CPI - 5yr SMA of CPI).
▶︎Interpretation for deviation from a moving average:
Positive Deviation: When the line is above its moving average, it indicates that the current value is higher than the average, suggesting potential strength or bullish sentiment.
Negative Deviation: Conversely, when the line falls below its moving average, it suggests weakness or bearish sentiment as the current value is lower than the average.
▶︎Applications:
Trend Identification: Deviations from moving averages can help identify trends, with sustained deviations indicating strong trends.
Reversal Signals: Significant deviations from moving averages may signal potential trend reversals, especially when combined with other technical indicators.
Volatility Measurement: Monitoring the magnitude of deviations can provide insights into market volatility and price movements.
Remember the indicator is applying this only for the US CPI - not the ticker you apply the indicator on!
🔹Functionality 2: It plots on a new pane below information about the Consumer Price Index. You can also find the information by plotting the ticker symbol USACPIALLMINMEI on TradingView, which is a Monthly economic data by the OECD for the CPI in the US. The only addition you would get from the indicator is the plot of the 5 year Simple Moving Average.
🔹What is the US Consumer Price Index?
Measures the change in the price of goods and services purchased by consumers;
Traders care about the CPI because consumer prices account for a majority of overall inflation. Inflation is important to currency valuation because rising prices lead the central bank to raise interest rates out of respect for their inflation containment mandate;
It is measured as the average price of various goods and services are sampled and then compared to the previous sampling.
Source: Bureau of Labor Statistics;
FEATURES OF INDICATOR
1) The US Consumer Price Index Minus the Five Year Moving Average of the same.
As shown on the picture above and explained in previous section. Here a more detailed view.
2) The actual US Consumer Price Index (Annual Rate of change) and the Five year average of the US Consumer Price Index. Explained above and shown below:
To activate 2) go into settings and toggle the check box.
HOW TO USE
It can be used for a fundamental analysis on the relationship between the stock market, the economy and the Feds decisions to hike or cut rates, whose main mandate is to control inflation over time.
I have created this indicator to show my analysis in this idea:
What does a First Fed Rate cut really mean?
CREDITS
I have seen such idea in the past posted by the institutional grade research of NedDavis and have recreated it for the TradingView platform, open-source for the community.
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.
Smart Money Liquidity Heatmap [AlgoAlpha]🌟📈 Introducing the Smart Money Liquidity Heatmap by AlgoAlpha! 🗺️🚀
Dive into the depths of market liquidity with our innovative Pine Script™ indicator designed to illuminate the trading actions of smart money! This meticulously crafted tool provides an enhanced visualization of liquidity flow, highlighting the dynamics between smart and retail investors directly on your chart! 🌐🔍
🙌 Key Features of the Smart Money Liquidity Heatmap:
🖼️ Visual Clarity: Uses vibrant heatmap colors to represent liquidity concentrations, making it easier to spot significant trading zones.
🔧 Customizable Settings: Adjust index periods, volume flow periods, and more to tailor the heatmap to your trading strategy.
📊 Dynamic Ratios: Computes the ratio of smart money to retail trading activity, providing insights into who is driving market movements.
👓 Transparency Options: Modify color intensity for better visibility against various chart backgrounds.
🛠 How to Use the Smart Money Liquidity Heatmap:
1️⃣ Add the Indicator:
Add the indicator to favourites. Customize settings to align with your trading preferences, including periods for index calculation and volume flow.
2️⃣ Market Analysis:
Monitor the heatmap for high liquidity zones signalled by the heatmap. These are potential areas where smart money is actively engaging, providing crucial insights into market dynamics.
Basic Logic Behind the Indicator:
The Smart Money Liquidity Heatmap utilizes the Smart Money Interest Index Indicator and operates by differentiating between the trading behaviors of informed (smart money) and less-informed (retail) traders. It calculates the differences between specific volume indices—Positive Volume Index (PVI) for retail investors and Negative Volume Index (NVI) for institutional players—and their respective moving averages, highlighting these differences using the Relative Strength Index (RSI) over user-specified periods. This calculation generates a ratio that is then normalized and compared against a threshold to identify areas of high institutional trading interest, visually representing these zones on your chart as vibrant heatmaps. This enables traders to visually identify where significant trading activities among smart money are occurring, potentially signalling important buying or selling opportunities.
🎉 Elevate your trading experience with precision, insight, and clarity by integrating the Smart Money Liquidity Heatmap into your toolkit today!
[Global Contraction Expansion Index SGM]Script Features
Dynamic Period Choice: The user can adjust the calculation period (period) for relative performance, allowing flexibility according to specific market analysis needs.
Sector Selection: The script takes into account different economic sectors through well-known ETFs like QQQ (technology), XLF (financial), XLY (consumer discretionary), XLV (healthcare), XLI (industrial) and XLE (energy). This diversification helps gain a general overview of economic health across different market segments.
Relative Performance Calculation: For each sector, the script calculates the relative performance using a simple moving average (SMA) of the price change over the specified period. This helps identify price trends adjusted for normal market fluctuations.
GCEI Index: The GCEI Index is calculated as the average of the relative performance of all sectors, multiplied by 100 to express it as a percentage. This provides an overall indicator of sectoral economic performance.
Crossover Signals: The script detects and marks points where the overall index (GCEI) crosses its own exponential moving average (emaGCEI), indicating potential changes in the overall trend of market performance.
Visualization: Results are visualized through graphs, where positive and negative regions are colored differently. Fills between the zero line and the index curves make it easy to see periods of contraction or expansion
When this index diverges from the SP500, it may be a sign that the technology sector is outperforming other sectors.
[Forex Fondamental Overview SGM]Fundamental analysis tool designed for currency trading in financial markets. The script generates a dashboard that displays key economic indicators for two selected currencies. Here is what makes this script particularly interesting for a trader:
1. Direct comparison between two currencies: The script allows you to choose two currencies (from a predefined list) and directly compare their key economic indicators such as interest rate, GDP growth, debt-to-GDP ratio, unemployment rate, inflation (CPI and PPI), and the services and manufacturing PMI indices. This gives you immediate insight into the economic strengths and weaknesses of each currency, which is crucial for making informed trading decisions.
2. Automatic data updating: Indicator values are updated automatically using security requests (request.security) that pull the most recent data available. This means you don't need to manually update data or check multiple sources; the script takes care of that for you.
3. Currency Relative Strength Calculation: The script calculates a strength index for each currency based on its economic indicators, and then it determines a relative strength index for the currency pair. This allows you to quickly see which currency is currently strongest, providing a basis for "buy strength, sell weakness" trading strategies.
4. Intuitive visualization: Results are presented in clear tables with colored indicators, making the information quickly digestible. For example, the background color changes depending on the relative strength of the currency pair, giving you an immediate visual signal of the overall trend.
5. Adaptability to different trading strategies: Whether you are a swing trader, a day trader, or a scalper, understanding the economic state of currencies can help you align your trading positions with underlying macroeconomic trends. This script gives you this information without requiring detailed economic analysis on your part.
In short, this script is a powerful tool for any Forex trader who wants to integrate fundamental analysis into their trading routine without bothering with the complexity of tracking and analyzing a multitude of economic indicators manually.
PPN - Token compare to USDT/BTCThis simple indicator allows you to easily view the price of a selected cryptocurrency token in either USDT or BTC on TradingView charts. By adding this indicator to your chart, you can quickly compare the price of the token to either USDT (Tether) or BTC (Bitcoin).
**Features:**
- Choose between displaying the token price in USDT or BTC.
- Automatically detects the current trading pair and adjusts the display accordingly.
- Uses data from the BINANCE exchange to fetch real-time prices.
**How to Use:**
1. Add the indicator to your TradingView chart.
2. Select the desired ticker ending (USDT or BTC) in the indicator settings.
3. Pin the indicator to a new scale (More -> Pin to Scale -> New scale or no scale (fullscreen).
**Note:** This indicator is intended for informational purposes only and should not be used as the sole basis for making trading decisions. Always conduct your own research and consult with a financial advisor before making any investment decisions.
---
Feel free to use and modify! <3
Message me on TradingView if you have any suggestions!
[SGM Forex Interest Rate]
Through an analysis of the interest rates of selected currencies, this indicator calculates the difference between these rates to provide an indication of the relative strength between the two currencies. This relative strength is graphically represented as an area with a specific color for better visualization.
The curves represent the values of the two selected currencies, while the colored area between them highlights the difference in strength. A horizontal line is also drawn at the zero level to help identify turning points or divergence points.
Interest rates play a crucial role in forex trading for several reasons:
Impact on capital flows: Interest rates affect international capital flows. Investors are attracted to currencies offering higher yields, which can lead to currency appreciation with higher interest rates.
Influence on monetary policy decisions: Central banks often adjust interest rates to achieve macroeconomic goals such as price stability, economic growth, and full employment. Announcements of interest rate changes or hints about the future direction of rates can have a significant impact on the foreign exchange market.
Determination of financing costs: Interest rates affect the financing costs of transactions in the foreign exchange market. Traders often borrow low-interest currencies to purchase higher-yielding currencies, which can lead to large movements in the market.
Economic Indicators: Interest rates are also key economic indicators. Changes in interest rates may reflect overall economic conditions and be interpreted as signs of economic growth or contraction.
Risk and volatility factors: Interest rate differences between two countries can create arbitrage opportunities, but also risks. Unexpected changes in interest rates or market expectations may result in increased volatility in the foreign exchange market.
In sum, interest rates are a fundamental part of the global financial landscape and are therefore crucial for forex traders, as they provide indications of economic trends, capital flows and trading opportunities.
STRATEGY 7 CERBERO STUDY [ SCRIPTS INVERSIONES ]USE:
ADXCONFIG:
Purpose: Select the range for the strength required in the ADX for our alert condition. This setting allows traders to define the threshold at which the ADX indicates sufficient market momentum for trading decisions.
USETRENDLOGIC:
Function: Utilizes the trend EMA to make long entries when the price is above and short entries when it is below the EMA. This provides a simple, clear rule based on the relative position of the price to the EMA, facilitating trend-following strategies.
SELECT A VALUE FOR EMA:
Description: Choose the range for the EMA, and the alert conditions will be applied depending on whether the price is above or below when USETRENDLOGIC is activated. This allows for flexibility in setting the sensitivity of the EMA to price movements.
ACTIVATE/DEACTIVATE EMA 35 AND EMA 50:
Usage: These EMAs are used to determine the trend in shorter periods of time, providing traders with quick insights into market dynamics and potential trend shifts.
LOGIC 1:
ENABLE/DEACTIVATE STRATEGY 1/1:
Conditions: If the 1/1 strategy is activated, it will use the following setup:
Volume entry + EMA condition + BREAK
ADX > ADXCONF
DMI+/DMI- higher depending on the trend
Explanation: This strategy combines volume analysis with EMA and trend indicators to identify strong, actionable trading signals.
This image shows its use.
LOGIC 2:
ENABLE/DEACTIVATE STRATEGY 1/2:
Conditions: If the 1/2 strategy is activated, it utilizes:
Volume entry + EMA condition + BREAK
Purpose: Focuses on significant breaks in EMA levels with accompanying high volume, suggesting a strong momentum-backed entry point.
This image shows its use.
LOGIC 3:
ENABLE/DEACTIVATE STRATEGY 1/3:
Conditions: If the 1/3 strategy is activated, it involves:
Volume entry + EMA condition
RSI
ADX > ADXCONF and DMI+/DMI- higher depending on the trend
Utility: Combines volume, EMA, and RSI indicators with ADX strength to filter entries during extreme market conditions, enhancing the probability of capturing significant moves.
This image shows its use.
LOGIC 4:
ENABLE/DEACTIVATE STRATEGY 1/4:
Conditions: If the 1/4 strategy is activated, it incorporates:
Volume entry + EMA condition
RSI ABOVE/BELOW your EMA
Application: This strategy uses RSI levels in relation to an EMA to fine-tune entry points, helping to confirm momentum before entering trades.
This image shows its use.
LOGIC 5:
ENABLE/DEACTIVATE STRATEGY 1/5:
Conditions: If the 1/5 strategy is activated, it utilizes:
Volume entry + EMA condition
Function: A straightforward strategy that uses volume and EMA conditions to identify primary entry points, focusing on the basic elements of trend and momentum.
This image shows its use.
POI LOGIC (Point of Interest)
Activate/Deactivate 2/1 POI Strategy
When the 2/1 POI strategy is activated, it employs the following conditions to determine market entries:
Volume Entry + EMA Condition + POI TOUCHED + ADX > ADXCONF and DMI+/DMI- higher depending on the trend:
Volume Entry: Looks for significant volume as confirmation that there is enough interest at the current price level.
EMA Condition: A specific condition regarding the Exponential Moving Average (EMA) must be met, such as the price being above or below the EMA, depending on the anticipated direction of price movement.
POI Touched: The price must have touched a previously identified Point of Interest, indicating a level where the price has reacted before.
ADX > ADXCONF: The Average Directional Movement Index (ADX) must be greater than a set value (ADXCONF), indicating sufficient trend strength.
DMI+/DMI- higher depending on the trend: The Directional Movement Indicator Plus (DMI+) or Minus (DMI-) needs to be higher, depending on whether the trend is bullish or bearish, respectively.
This strategy is designed to capitalize on price levels where the market has shown previous reactions, using a combination of technical analysis and volume to confirm entry signals.
This image shows its use.
DIVERGENCE LOGIC
Activate/Deactivate Divergence Strategy
When the divergence strategy is activated, it employs the following conditions for making trading decisions:
Volume Entry + Divergence: This condition indicates that a market entry should be considered when there is a divergence between the price and a technical indicator (such as RSI, MACD, etc.), accompanied by significant volume.
Divergence occurs when the price of an asset moves in the opposite direction of the technical indicator, which may suggest a potential reversal in market trends. Volume plays a crucial role here, as high volume during a divergence can confirm the strength of the potential trend reversal.
This strategy aims to capitalize on moments when the market shows signs of exhaustion in a trend and is potentially gearing up to reverse, making divergences a key component in anticipating significant movements.
This image shows its use.
FOREX LOGIC
Activate/Deactivate FOREX Strategy
When the Forex strategy is activated, it uses the following conditions to execute trades:
Volume Entry + DI+ > DI- for long entries: This condition means that to consider a long position (buy), the Positive Directional Indicator (DI+) must be greater than the Negative Directional Indicator (DI-). This suggests that the market trend is moving upward, supported by sufficient trading volume backing this direction.
DI- > DI+ for short entries: For short entries (sells), the required condition is that the DI- (Negative Directional Indicator) is greater than the DI+ (Positive Directional Indicator). This indicates that the market trend is downward and that there is adequate volume confirming this bearish trend.
These conditions ensure that market entries are made with a clear confirmation of market direction based on volume and directional movement, which is crucial for increasing the probabilities of successful Forex trades.
This image shows its use.
ICT STUDY
Activate/Deactivate Strategy ICT
USAGE:
We use all these components in our indicator to provide comprehensive and effective control when trading using the ICT (Inner Circle Trader) methodology. Each element aids in visualizing and anticipating market movements more accurately, facilitating informed and strategic decision-making.
POI (Point of Interest): Used to identify critical points where the market has shown significant past activity, offering clues on potential future price reactions.
Imbalances: Crucial for spotting areas where supply or demand has been lacking, suggesting potential entry or exit points based on trend reversal or continuation.
ZigZag: Helps to eliminate market noise, allowing for clear identification of significant highs and lows, vital for trend analysis and reversal.
Supports and Resistances: Fundamental in determining price levels at which the market might stop or reverse, essential for any trading strategy.
Fibonacci: Utilized to find support and resistance levels based on mathematical proportions that naturally occur in markets, informing potential areas of interest.
Inducement: We observe these patterns to identify moments when price manipulations might be occurring, helping to avoid traps and enhance entries.
Sweep: Analyzed to understand how and where major market players are clearing accumulated orders, which can indicate significant price movements.
CHOCH (Change of Character): Used to detect a shift in price behavior, which may signal a reversal or trend change.
BOS (Break of Structure): Key for detecting when the price breaks through significant structures, suggesting changes in market direction.
Forecasting Length: Determines how far the price may reach into the future based on current analysis, crucial for planning long-term trades.
This image shows its use.
IF USE TP AND SL
Financials ScoreThe Pine Script you've provided is designed to compute and display a "Financials Score" for a security based on several key financial metrics. This script is structured to run as an independent indicator on the TradingView platform, appearing in a separate pane rather than overlaying on the main price chart. Here's a breakdown of the script's components and functionality:
User Inputs
- **Period Selection**: Users can choose between 'FQ' (Financial Quarter) and 'FY' (Financial Year) to specify the period for which financial data should be considered.
- **Display Settings**: Allows customization of the table's appearance with inputs for text size, text color, data text color, and panel background color. These inputs help tailor the visual representation to the user's preferences.
- **Table Position**: Users can choose where to position any table within the indicator pane from several options like top left, top center, top right, etc.
- **Show Status Column**: A boolean input to decide whether to show an additional status column in any table outputs.
### Financial Metrics
The script retrieves various financial data points using the `request.financial` function. The data retrieved includes:
- **Operating Margin** (`opmar`)
- **Earnings Per Share (Basic)** (`eps`)
- **Price to Earnings Ratio** (`pe_ratio`)
- **Price to Book Ratio** (`pb_ratio`)
- **Debt to Equity Ratio** (`de_ratio`)
- **Return on Equity Adjusted to Book Value** (`roe_pb`)
- **Piotroski F-Score** (`fscore`)
### Scoring Logic
A scoring system is implemented where each financial metric contributes points to a total score based on specified conditions:
- **Operating Margin**: +20 points if greater than 20%.
- **EPS**: +20 points if greater than 0.
- **P/E Ratio**: +10 points if between 0 and 20.
- **P/B Ratio**: +10 points if less than 3.
- **D/E Ratio**: +10 points if less than 0.8.
- **ROE/PB Ratio**: +20 points if greater than 5.
- **F-Score**: +10 points if greater than 5.
The script uses ternary operators to conditionally add points to the `total_score` variable based on these criteria.
### Output
- **`plot` function**: The total score is plotted as a line graph in the indicator pane, allowing users to visually track the financial health score over time.
### Overall Functionality
This script is valuable for investors or traders who want to quickly assess the financial health of a company using key metrics and visualize this assessment directly within the TradingView interface. The score provides a simplified aggregate view that can aid in making investment decisions based on financial fundamentals.
Yield Curve SpaghettiDisplays the difference in yield between multiple bond pairs for a given country.
Currently supports US, DE, and GB bonds
DaysToEarningsAn useful tool for investors/traders who want to keep track of upcoming earnings event.
Here's a breakdown of the indicator and its features:
Functionality:
#1 Displays the next earnings date for a company and additionally shows the number of days remaining until the earnings event.
#2 Offers three display modes:
Default: In this view both the earnings date and the number of days left is displayed
Head-less: A compact view without the headers
Mini-Mode: Super compact view, showing only the number of days
#3 Allows setting a custom baseline number of days. Based on this value the background color if the number of days in the indicator changes - red (if days remain is less than the number of days provided) else a gradient color in the shades of green.
As many stocks shows a drastic increase in volatility near the earnings date, this feature is very useful for visually being reminded of the days left.
***Lastly the footprint is very small making this important event reminder available on the chart without much fuss.***
Internals:
To calculate the days remaining until the earnings report, it uses the tv built-in variable "earnings.future_time" and uses a custom function for color grading.
How to use:
Once the indicator is applied on the chart you can input a custom number as reference day value. Based on this value the color coded background is generated for the days remaining to produce a visual impact - red (actual days remaining less than reference days) else its shades of green (gradient from lime to teal)
Next, choose the display modes (for default both "Head-less" and "Mini-Mode" is unchecked)
Finally choose the placement Top/Middle/Bottom + Center/Left/Right combination as per your convenience from the table options section.
I hope this tiny script adds value to your trading! Cheers :)
Smart Money Interest Index [AlgoAlpha]🌟 Smart Money Interest Index by AlgoAlpha 🌟
Welcome to the innovative Smart Money Interest Index indicator, designed meticulously by AlgoAlpha to revolutionize the way you trade! 📈🧠 This indicator is engineered to decipher the activities of smart money investors relative to the less informed (dumb money) and dynamically display their dominance in the trading landscape through a sophisticated visual index. 🚀💹
🔑 Key Features:
- Smart vs. Dumb Money Analysis: Tracks and compares the movements of smart money (informed investors) and dumb money (general public) within the market to identify potential investment signals.
- Relative Strength Index (RSI) Based Ratios: Utilizes RSI for both smart and dumb money to create a ratio that indicates buying or selling pressures.
- Dynamic Normalization: Employs a long-term peak normalization over a customizable period to ensure the index remains relevant regardless of market conditions.
- Visual Thresholds and Signals: Highlights significant shifts in market dynamics with color-coded thresholds, making it easier to spot changes at a glance.
🛠 How to Use the Smart Money Interest Index:
🔹 🚀 Step 1: Adding the Indicator
- Add the indicator to your favourites.
- Customize the settings according to your analysis needs:
- `Index Period`, `Volume Flow Period`, `Normalization Period`, `High Interest Threshold`
🔹 📊 Step 2: Interpretation of the Index
- Monitor the index plot; a rising index suggests increasing smart money interest, potentially indicating a buying opportunity.
- A value above the high interest threshold (in yellow) highlights significant interest by smart money, suggesting a good time to buy.
🔹 🔔 Step 3: Setting Alerts
- Configure alerts to notify you when the index crosses above the set threshold, enabling you to capitalize on trading opportunities timely and efficiently.
📐 Basic Logic Overview:
The Smart Money Interest Index by AlgoAlpha provides a unique metric that contrasts the investment behaviors of informed (smart money) and general (dumb money) investors. Utilizing the Relative Strength Index (RSI), this indicator evaluates the trading pressure exerted by both groups over specified periods, then forms a ratio of these activities to identify dominance in buying or selling trends. For example, when we see dumb money selling and smart buying, this suggests that the conditions for buying the asset is optimal as smart money is willing to buy the dip. The outputs are normalized against the highest values observed in a user-defined term to maintain consistency through varying market conditions. When the index exceeds a certain threshold, it suggests that smart money presence is particularly strong, possibly indicating that smart money is looking to enter positions on the asset. This tool serves as a sophisticated visual guide to understanding market dynamics and making well-informed trading decisions based on the activities of market-savvy investors. Smart money activity is identified during areas of low volume and the opposite for dumb money, the indicator uses the NVI and PVI metrics as its foundation for smart and dumb money analysis.
📊 Enhance Your Trading Strategy:
Leverage the Smart Money Interest Index to gain deeper insights into market dynamics and enhance your decision-making process with a powerful, data-driven approach. Whether you're looking to identify entry points or set strategic exits, this tool is designed to provide you with the competitive edge you need in the fast-paced world of trading. 🌐✨
Transform your trading with the power of smart money analysis—start using the Smart Money Interest Index today! 🚀🔔
RunRox - Backtesting System (SM)RunRox - Backtesting System (SM) is designed for flexible and comprehensive testing of trading strategies, closely integrated with our RunRox - Signals Master indicator. This combination enhances your ability to refine strategies efficiently, providing you with insights to adapt and optimize your trading tactics seamlessly.
The Backtesting System (SM) excels in pinpointing the optimal settings for the RunRox - Signals Master indicator, efficiently highlighting the most effective configurations.
Capabilities of the Backtesting System (SM)
Optimal Settings Determination: Identifies the best configurations for the Signals Master indicator to enhance its effectiveness.
Timeframe-Specific Strategy Testing: Allows strategies to be tested over specific historical time periods to assess their viability.
Customizable Initial Conditions: Enables setting of initial deposit, risk per trade, and commission rates to mirror real-world trading conditions.
Flexible Money Management: Provides options to set take profits and stop losses, optimizing potential returns and risk management.
Intuitive Dashboard: Features a user-friendly dashboard that visually displays all pertinent information, making it easy to analyze and adjust strategies.
Trading Flexibility Across Three Modes:
Dual-Direction Trading: Engage in both buying and selling with this mode. Our dashboard optimizes and identifies the best settings for trading in two directions, streamlining the process to maximize effectiveness for both buy and sell orders.
Buy-Only Mode: Tailored for traders focusing exclusively on purchasing assets. In this mode, our backtester pinpoints the most advantageous sensitivity, speed reaction, and filter settings specifically for buying. Optimal settings in this mode may differ from those used in dual-direction trading, providing a customized approach to single-direction strategies.
Sell-Only Mode: Perfect for strategies primarily based on selling. This setting allows you to discover the ideal configurations for asset sales, which can be particularly useful if you are looking for optimal exit points in long-term transactions or under specific market conditions.
Here's an example of how profits can differ on the same asset when trading using two distinct strategies: exclusively buying or trading in both directions.
Above in the image, you can see how one-directional trading influences the results of backtests on historical data. While this does not guarantee future outcomes, it provides insight into how the strategy's performance can vary with different trading directions.
As you can also see from the image, one-directional trading has affected the optimal combination of settings for Sensitivity, Speed Reaction, and Filters.
Stop Loss and Take Profit
Our backtesting system, as you might have gathered, includes flexible settings for take profits and stop losses. Here are the main features:
Multiple Take Profits: Ability to set from 1 to 4 take profit levels.
Fixed Percentage: Option to assign a fixed percentage for each take profit.
Trade Proportion Fixation: Ability to set a fixed size from the trade for securing profits.
Stop Loss Installation: Option to establish a stop loss.
Break-Even Stop Loss: Ability to move the stop loss to a break-even point upon reaching a specified take profit level.
These settings offer extensive flexibility and can be customized according to your preferences and trading style. They are suitable for both novice and professional traders looking to test their trading strategies on historical data.
As illustrated in the image above, we have implemented money management by setting fixed take profits and stop losses. Utilizing money management has improved indicators such as profit, maximum drawdown, and profit factor, turning even historically unprofitable strategies into profitable ones. Although this does not guarantee future results, it serves as a valuable tool for understanding the effectiveness of money management.
Additionally, as you can see, the optimal settings for Signals Master have been adjusted, highlighting the best configurations for the most favorable outcomes.
Disclaimer:
Historical data is not indicative of future results. All indicators and strategies provided by RunRox are intended for integration with traders' strategies and should be used as tools for analysis rather than standalone solutions. Traders should use their own discretion and understand that all trading involves risk.
Day of Week 🔶What it is ?
Day of week indicator is a simple tool to help you can know your current trading day faster.
It is really useful if you're a swing trader managing target by week and manage weekly economic news.
🔶 Who can use it ?
1. All traders who are using NCI, ICT , Smart money concepts, MACD system and other systems...
2. All timeframes can use it well.
3. All traders who are trading on Forex, Crypto, Stock, Indicies...
4. All traders who are new or experienced traders
5. All traders can use it even scalping or swing traders.
🔶 The purpose of indicator
1. Define day of week faster
2. Remind you about day of week, just focus to trade from Tue - Fri if you're a weekly trader.
3. You can combine it to analyze with economic news to manage your positions during news better.
🔶 How will indicator appear on chart
After you added it on chart, indicator will mearsure and appear on the chart automatically.
Red color : That's today
Green color : Other trading day that's not today
Gray color : Weekend
🔶 INPUT value
There're 3 input value that you can change if you need :
1. Font size : You can change size of texts manually as your favorite
2. Location : You can change location of table to be easier to see it on chart.
3. Your time zone : You should choose your country's time zone to calcuate exactly.
🔶 How to use indicator
After setting indicator, indicator will mearsure and run automatically to mark today to help you know how many days you can trade and arrange trading schedule better.
You can combine this indicator with economic news to manage your positions better.
I hope this indicator help you to trade more effectively.
US CPIIntroducing "US CPI" Indicator
The "US CPI" indicator, based on the Consumer Price Index (CPI) of the United States, is a valuable tool for analyzing inflation trends in the U.S. economy. This indicator is derived from official data provided by the U.S. Bureau of Labor Statistics (BLS) and is widely recognized as a key measure of inflationary pressures.
What is CPI?
The Consumer Price Index (CPI) is a measure that examines the average change in prices paid by consumers for a basket of goods and services over time. It is an essential economic indicator used to gauge inflationary trends and assess changes in the cost of living.
How is "US CPI" Calculated?
The "US CPI" indicator in this script retrieves CPI data from the Federal Reserve Economic Data (FRED) using the FRED:CPIAUCSL symbol. It calculates the rate of change in CPI over a specified period (typically 12 months) and applies technical analysis tools like moving averages (SMA and EMA) for trend analysis and smoothing.
Why Use "US CPI" Indicator?
1. Inflation Analysis: Monitoring CPI trends provides insights into the rate of inflation, which is crucial for understanding the overall economic health and potential impact on monetary policy.
2. Policy Implications: Changes in CPI influence decisions by policymakers, central banks, and investors regarding interest rates, fiscal policies, and asset allocation.
3. Market Sentiment: CPI data often impacts market sentiment, influencing trading strategies across various asset classes including currencies, bonds, and equities.
Key Features:
1. Customizable Smoothing: The indicator allows users to apply exponential moving average (EMA) smoothing to CPI data for clearer trend identification.
2. Visual Representation: The plotted line visually represents the inflation rate based on CPI data, helping traders and analysts assess inflationary pressures at a glance.
Sources and Data Integrity:
The CPI data used in this indicator is sourced directly from FRED, ensuring reliability and accuracy. The script incorporates robust security protocols to handle data requests and maintain data integrity in a trading environment.
In conclusion, the "US CPI" indicator offers a comprehensive view of inflation dynamics in the U.S. economy, providing traders, economists, and policymakers with valuable insights for informed decision-making and risk management.
Disclaimer: This indicator and accompanying analysis are for informational purposes only and should not be construed as financial advice. Users are encouraged to conduct their own research and consult with professional advisors before making investment decisions.
