Global Inflation Indicator🔹 Overview:
The Global Inflation Indicator is a macro-analysis tool designed to track and compare inflation trends across major economies. It pulls Consumer Price Index (CPI) data from multiple regions, helping traders and investors analyze how inflation impacts global markets, particularly gold, forex, and commodities.
📊 Key Features:
✅ Tracks inflation in six major economies:
🇺🇸 USA (CPIAUCSL) – Key driver for USD and gold prices
🇪🇺 Eurozone (CPHPTT01EZM659N) – Euro inflation impact
🇬🇧 United Kingdom (GBRCPIALLMINMEI) – GBP & economic trends
🇨🇳 China (CHNCPIALLMINMEI) – Emerging market impact
🇯🇵 Japan (JPNCPIALLMINMEI) – Yen & inflation control policies
🇮🇳 India (INDCPIALLMINMEI) – Key gold-consuming economy
✅ Real-time Inflation Trends:
Provides a visual comparison of inflation levels in different regions.
Helps traders identify inflationary cycles & their effect on global assets.
✅ Macro-Driven Trading Decisions:
Gold & Forex Correlation: High inflation may increase demand for gold.
Interest Rate Expectations: Central banks respond to inflation shifts.
Currency Strength: Inflation impacts USD, EUR, GBP, JPY, CNY, INR.
📉 How to Use It:
Gold traders can assess inflation trends to predict potential price movements.
Forex traders can compare inflation effects on major currency pairs (EUR/USD, USD/JPY, GBP/USD, etc.).
Stock investors can evaluate how inflation affects central bank policies and interest rates.
📌 Conclusion:
The Global Inflation Indicator is a powerful tool for macroeconomic analysis, providing real-time insights into global inflation trends. By integrating this indicator into your gold, forex, and commodity trading strategies, you can make more informed investment decisions in response to economic changes.
חפש סקריפטים עבור "美国cpi公布时间"
Global M2 Index Percentage### **Global M2 Index Percentage**
**Description:**
The **Global M2 Index Percentage** is a custom indicator designed to track and visualize the global money supply (M2) in a normalized percentage format. It aggregates M2 data from major economies (e.g., the US, EU, China, Japan, and the UK) and adjusts for exchange rates to provide a comprehensive view of global liquidity. This indicator helps traders and investors understand the broader macroeconomic environment, identify trends in money supply, and make informed decisions based on global liquidity conditions.
---
### **How It Works:**
1. **Data Aggregation**:
- The indicator collects M2 data from key economies and adjusts it using exchange rates to calculate a global M2 value.
- The formula for global M2 is:
\
2. **Normalization**:
- The global M2 value is normalized into a percentage (0% to 100%) based on its range over a user-defined period (default: 13 weeks).
- The formula for normalization is:
\
3. **Visualization**:
- The indicator plots the M2 Index as a line chart.
- Key reference levels are highlighted:
- **10% (Red Line)**: Oversold level (low liquidity).
- **50% (Black Line)**: Neutral level.
- **80% (Green Line)**: Overbought level (high liquidity).
---
### **How to Use the Indicator:**
#### **1. Understanding the M2 Index:**
- **Below 10%**: Indicates extremely low liquidity, which may signal economic contraction or tight monetary policy.
- **Above 80%**: Indicates high liquidity, which may signal loose monetary policy or potential inflationary pressures.
- **Between 10% and 80%**: Represents a neutral to moderate liquidity environment.
#### **2. Trading Strategies:**
- **Long-Term Investing**:
- Use the M2 Index to assess global liquidity trends.
- **High M2 Index (e.g., >80%)**: Consider investing in risk assets (stocks, commodities) as liquidity supports growth.
- **Low M2 Index (e.g., <10%)**: Shift to defensive assets (bonds, gold) as liquidity tightens.
- **Short-Term Trading**:
- Combine the M2 Index with technical indicators (e.g., RSI, MACD) for timing entries and exits.
- **M2 Index Rising + RSI Oversold**: Potential buying opportunity.
- **M2 Index Falling + RSI Overbought**: Potential selling opportunity.
#### **3. Macroeconomic Analysis**:
- Use the M2 Index to monitor the impact of central bank policies (e.g., quantitative easing, rate hikes).
- Correlate the M2 Index with inflation data (CPI, PPI) to anticipate inflationary or deflationary trends.
---
### **Key Features:**
- **Customizable Timeframe**: Adjust the lookback period (e.g., 13 weeks, 26 weeks) to suit your trading style.
- **Multi-Economy Data**: Aggregates M2 data from the US, EU, China, Japan, and the UK for a global perspective.
- **Normalized Output**: Converts raw M2 data into an easy-to-interpret percentage format.
- **Reference Levels**: Includes key levels (10%, 50%, 80%) for quick analysis.
---
### **Example Use Case:**
- **Scenario**: The M2 Index rises from 49% to 62% over two weeks.
- **Interpretation**: Global liquidity is increasing, potentially due to central bank stimulus.
- **Action**:
- **Long-Term**: Increase exposure to equities and commodities.
- **Short-Term**: Look for buying opportunities in oversold assets (e.g., RSI < 30).
---
### **Why Use the Global M2 Index Percentage?**
- **Macro Insights**: Understand the broader economic environment and its impact on financial markets.
- **Risk Management**: Identify periods of high or low liquidity to adjust your portfolio accordingly.
- **Enhanced Timing**: Combine with technical analysis for better entry and exit points.
---
### **Conclusion:**
The **Global M2 Index Percentage** is a powerful tool for traders and investors seeking to incorporate macroeconomic data into their strategies. By tracking global liquidity trends, this indicator helps you make informed decisions, whether you're trading short-term or planning long-term investments. Add it to your TradingView charts today and gain a deeper understanding of the global money supply!
---
**Disclaimer**: This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own research and consult with a professional before making investment decisions.
[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.
Temporal Value Tracker: Inception-to-Present Inflation Lens!What we're looking at here is a chart that does more than just display the price of gold. It offers us a time-traveling perspective on value. The blue line, that's our nominal price—it's the straightforward market price of gold over time. But it's the red line that takes us on a deeper journey. This line adjusts the nominal price for inflation, showing us the real purchasing power of gold.
Now, when we talk about 'real value,' we're not just philosophizing. We're anchoring our prices to a point in time when the journey began—let's say when gold trading started on the markets, or any inception point we choose. By 'shadowing' certain years—say, from the 1970s when the gold standard was abandoned—we can adjust this chart to reflect what the inflation-adjusted price means since that key moment in history.
By doing so, we're effectively isolating our view to start from that pivotal year, giving us insight into how gold, or indeed any asset, has held up against the backdrop of economic changes, policy shifts, and the inevitable rise in the cost of living. If you're analyzing a stock index like the S&P 500, you might begin your inflation-adjusted view from the index's inception date, which allows you to measure the true growth of the market basket from the moment it started.
This adjustment isn't just academic. It influences how we perceive value and growth. Consider a period where the nominal price skyrockets. We might toast to our brilliance in investment! But if the inflation-adjusted line lags, what we're seeing is nominal growth without real gains. On the other hand, if our red line outpaces the blue even during stagnant market periods, we're witnessing real growth—our asset is outperforming the eroding effects of inflation.
Every asset class can be evaluated this way. Stocks, bonds, real estate—they all have their historical narratives, and inflation adjustment tells us if these stories are tales of genuine growth or illusions masked by inflation.
So, as informed traders and investors, we need to keep our eyes on this inflation-adjusted line. It's our measure against the silent thief that is inflation. It ensures we're not just keeping up with the Joneses of the market, but actually outpacing them, building real wealth over time
1995-Present - Inflation and Purchasing PowerGood day, everyone! Today, we're going to look at a chart that's a bit different from the usual price charts we analyse. This isn't just any chart; it's a lens into the past, adjusted for the reality of inflation—a concept we often hear about but seldom see directly applied to our trading charts.
What we have here is an 'Inflation Adjusted Price' indicator on TradingView, and it's doing something quite special. It's showing us the price of our asset, let's say the S&P 500, not just in today's dollars, but in the dollars of 1995. Why 1995, you ask? Well, it's the starting point we've chosen to measure how much actual buying power has changed since then.
So, every point on this red line we see represents what the S&P 500's value would be if we stripped away the effects of inflation. This is the price in terms of what your money could actually buy you back in 1995.
As traders and investors, we're always looking at prices going up and thinking, 'Great! My investment is growing!' But the real question we should ask is, 'Is my money growing in real terms? Can it buy me more than it did last year, or five, ten, or twenty-five years ago?'
This chart tells us exactly that. If the red line is above the actual price, it means that the S&P 500 has not just grown in nominal terms, but it has actually outpaced inflation. Your investment has grown in real terms; it can buy you more now than it could back in 1995.
On the flip side, if the red line is below the actual price, that's a sign that while the nominal price might be up, the real value, the purchasing power, hasn't grown as much or could even have fallen.
This view is crucial, especially for the long-term investors among us. It gives us a reality check on our investments and savings. Are we truly growing our wealth, or are we just keeping up with the cost of living? This indicator answers that.
Remember, the true measure of financial growth is not just the numbers on a chart. It's what you can do with those numbers—how much bread, or eggs, or yes, even houses, you can buy with your hard-earned money
BTC Purchasing Power 2009-20XX! Hello, today I'm going to show you something that shifts our perspective on Bitcoin's value, not just in nominal terms, but adjusted for the real buying power over the years. This Pine Script TAS developed for TradingView does exactly that by taking into account inflation rates from 2009 to the present.
As you know, inflation erodes the purchasing power of money. That $100 in 2009 does not buy you the same amount in goods or services today. The same concept applies to Bitcoin. While we often look at its price in terms of dollars, pounds, or euros, it's crucial to understand what that price really means in terms of purchasing power.
What this script does is adjust the price of Bitcoin for cumulative inflation since 2009, allowing us to see not just how the nominal price has changed, but how its value as a means of purchasing goods and services has evolved.
For example, if we see Bitcoin's price at $60,000 today, that number might seem high compared to its early years. However, when we adjust this price for inflation, we might find that in terms of 2009's purchasing power, the effective price might be somewhat lower. This adjusted price gives us a more accurate reflection of Bitcoin's true value over time.
This script plots two lines on the chart:
The Original BTC Price: This is the unadjusted price of Bitcoin as we typically see it.
BTC Purchasing Power: This line shows Bitcoin's price adjusted for inflation, reflecting how many goods or services Bitcoin could buy at that point in time compared to 2009.
By comparing these lines, we can observe periods where Bitcoin's purchasing power significantly increased, even if the nominal price was not at its peak. This can help us identify moments when Bitcoin was undervalued or overvalued in real terms.
This analysis is crucial for long-term investors and traders who want to understand Bitcoin's value beyond the surface-level price movements. It helps us appreciate Bitcoin's potential as a store of value, especially in contexts where traditional currencies are losing purchasing power due to inflation.
Remember, investing is not just about riding price waves; it's about understanding the underlying value. And that's precisely what this script helps us to uncover
Multi VWAP from Gaps [MW]Multi VWAP from Gaps
Introduction
The Multi VWAP from Gaps tool extends the concept of using the Anchored Volume Weighted Average Price, popularized by its founder, Brian Shannon, founder of AlphaTrends. It creates automatic AVWAPS for anchor points originating at the biggest gaps of the week, month, quarter and year. Currently, most standard VWAP tools allow users to place custom anchored VWAPs, but the routine of doing this for every equity being watched can become cumbersome. This tool makes that process multi-times easier. Considering that large gaps can represent a shift in market structure, this tool provides unique and immediate insight into how past daily price gaps can and have affected price action.
Settings
LABEL SETTINGS
Show Biggest Gap of Week | Month | Quarter : Toggle labels that identify the location of the biggest gaps for the selected time period.
Show Big Labels : Toggle labels from showing the date and gap size to just showing a single letter (W/M/Q/Y) designating the time period that the gap is from.
Hide All Labels : Turn labels off and on.
MAX VWAP LINES
Max Weekly | Monthly | Quarterly | Yearly Lines : How many VWAP lines, starting from today, should be shown for the specified time period. Max: 5
SHOW VWAP LINES
Show Weekly | Monthly | Quarterly | Yearly Lines : This feature allows you to remove lines for the specified time period.
Calculations
This indicator does not provide buy or sell signals. It is simply the VWAP calculated starting from an “anchor point”, or start time. It is calculated by the summation of Price x Volume / Volume for the period starting at the anchor point.
How to Interpret
According to Brian Shannon, VWAP is an objective measure of what the average trader has paid for a particular equity over a given period, and is the value that large institutional investors frequently use as a trade signal. Therefore, by definition, when the price is above an AVWAP, buyers are in control for that period of time. Likewise, if the price is below the AVWAP, sellers are in control for that period of time.
VWAPs that coincide with important events, such as FOMC meetings, CPI reports, earnings reports, have added significance. In many cases, these events can cause gaps to happen in day-to-day price movement, and can affect market structure going forward.
Practically speaking, price action can tend to change direction when a significant VWAP is hit, voiding buy and sell signals. Like moving averages, this indicator can show, in real-time, how a buy or sell signal should be interpreted. A significant AVWAP line is a point of interest, and can serve as strong support or resistance, because large institutions may be using those values for entries or exits. For a great analysis of how to use AVWAP, visit the AlphaTrends channel on Youtube here or you can buy Brian Shannon’s “Anchored VWAP” book on Amazon.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Additionally, in order to build the VWAP calculations, past data is needed that may not be available on shorter timeframes. The workaround is that for some longer-term VWAP lines on shorter timeframes, you may see less than the total of lines that you selected in settings. This is particularly the case with quarterly VWAP lines on the 5 minute timeframe for some equities.
Acknowledgements
This script uses the MarketHolidays library by @Protervus. Also, for debugging, the JavaScript-style Debug Console by @algotraderdev was invaluable. Special thanks to @antsmuzic for helping review and debug the script. And, of course, without Brian Shannon's books, videos, and interviews, this indicator would would not have happened.
Inflation IndicatorThis script provides a great view of Year-over-Year (YoY) inflation rates for key countries.
The inflation data used per default are TradingView Tickers, but you can change them to anything you want from the settings.
There is no calculation in this script, all it does is providing a overview of inflation rates in a single indicator.
Inflation data for the USA, European Union, Australia, Canada, Switzerland, Japan, United Kingdom, and New Zealand (Inflation Symbols editable in the settings)
Customizable static line to indicate a specific threshold value (default: 2.0).
Table displaying country flags, names, and the latest inflation rates.
Country-representative colors for easy identification.
Multi VWAP [MW]Introduction
The Multi VWAP tool extends the concept of using the Anchored Volume Weighted Average Price, popularized by its founder, Brian Shannon, founder of AlphaTrends, and creates automatic AVWAPS for multiple anchor points, such as for 2-day, 3-day, 4-day, 5-day, and custom date anchors as well as automagically creating month-to-date and year-to-date anchors. Currently, most standard VWAP tools allow users to place custom anchored VWAPs, but the routine of doing this for every equity being watched can become cumbersome. This tool makes that process multi-times easier. Brian Shannon is also the author of “Maximum Trading Gains With Anchored VWAP: The Perfect Combination of Price, Time, and Volume”. Available at Amazon.
Settings
Daily VWAP : A continuous line of the the daily Volume Weighted Average Price (VWAP)
Weekly VWAP : A continuous line of the weekly VWAP
2-Day AVWAP : The anchored VWAP from 2 trading days ago (holidays and weekends are excluded in this calculation)
3-Day AVWAP : The anchored VWAP from 3 trading days ago
4-Day AVWAP : The anchored VWAP from 4 trading days ago
5-Day AVWAP : The anchored VWAP from 5 trading days ago. The slope of this line and the position of the price relative to this line can be used to determine trend direction.
10-Day AVWAP : The anchored VWAP from 10 trading days ago
Month-to-Date AVWAP : The anchored VWAP from the beginning of the current month
Year-to-Date AVWAP : The anchored VWAP from the beginning of the current year
Custom Date AVWAP : Sets a date to begin an anchored VWAP starting from any time.
Use only the most recent VWAP for Week, Month, and Year: Toggles on and off the continuous weekly, monthly, and yearly VWAPs
Calculations
This indicator does not provide buy or sell signals. It is simply the VWAP calculated starting from an “anchor point”, or start time. It is the calculated by the summation of Price x Volume / Volume for the period starting at the anchor point.
How to Interpret
According to Brian Shannon, VWAP is an objective measure of what the average trader has paid for a particular equity over a given period, and is the value that large institutional investors frequently use as a trade signal. Therefore, by definition, when the price is above an AVWAP, buyers are in control for that period of time. Likewise, if the price is below the AVWAP, sellers are in control for that period of time.
Shannon also distinguishes the importance of an increasing or decreasing 5 day VWAP, which reflects the price sentiment, objectively, for roughly the last trading week, or 5 trading days. Pricing below a decreasing 5-day VWAP is considered very bearish, while pricing above an increasing 5-day VWAP is considered bullish and is recommended before considering long positions.
Additionally, a custom VWAP can be generated to coincide with important events, such as FOMC meetings, CPI reports, earnings reports, etc.
Practically speaking, price action can tend to change direction when a significant VWAP is hit, voiding buy and sell signals. Like moving averages, this indicator can show, in real-time, how a buy or sell signal should be interpreted. A significant AVWAP line is a point of interest, and can serve as strong support or resistance, because large institutions may be using those values for entries or exits. For a great analysis of how to use AVWAP, visit the AlphaTrends channel on Youtube here or you can buy Brian Shannon’s “Anchored VWAP” book on Amazon.
Other Usage Notes and Limitations
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
Additionally, the indicator may take a little longer to load than usual. On the rare occasion where it fails to load, you may need to remove the indicator and add it back to your chart. Also, if you do encounter this problem, avoid redrawing your chart while the indicator is being added to the screen.
Acknowledgements
This script uses the MarketHolidays library by @Protervus. Also, for debugging, the JavaScript-style Debug Console by @algotraderdev and the TimeFormattingLibrary by @twingall were invaluable. And, of course, without Brian Shannon's books, videos, and interviews, this indicator would would not be possible.
Economic Data Trading alerts - CPI, Interest rate, PPI, etcDescription:
This indicator is designed to alert based on user-selected economic data for Europe, the US, and Japan. It allows users to define their preferred economic data points and trade direction based on the change in the economic data compared to the previous value.
you can use the strategy to automate economic data trading.
Key Features:
Choose from various economic data points for Europe, the US, and Japan.
Customize trade direction based on whether the economic data is above or below the previous value.
Define entry conditions based on user preferences.
Visualize trade entries on the chart.
Display a table showing the results of executed trades.
Please note that this strategy is provided for educational purposes only and should not be considered as financial advice. Always do your own research and use proper risk management when trading.
The indicator is BETA please make sure to test it before using it.
IMPORTANT: you need to be aware of the fundmentals because the regime changes and markets react to every release of data differently.
Selected Dates Filter by @zeusbottradingWe are presenting you feature for strategies in Pine Script.
This function/pine script is about NOT opening trades on selected days. Real usage is for bank holidays or volatile days (PPI, CPI, Interest Rates etc.) in United States and United Kingdom from 2020 to 2030 (10 years of dates of bank holidays in mentioned countries above). Strategy is simple - SMA crossover of two lengts 14 and 28 with close source.
In pine script you can see we picked US and GB bank holidays. If you add this into your strategy, your bot will not open trades on those days. You must make it a rule or a condition. We use it as a rule in opening long/short trades.
You can also add some of your prefered dates, here is just example of our idea. If you want to add your preffered days you can find them on any site like forexfactory, myfxbook and so on. But don’t forget to add function “time_tradingday ! = YourChoosedDate” as it is writen lower in the pine script.
Sometimes the date is substituted for a different day, because the day of the holiday is on Saturday or Sunday.
Made with ❤️ for this community.
If you have any questions or suggestions, let us know.
The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold zeusbottrading TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script.
Multi-Polar WorldA new macro analysis tool for easily analyzing the multi-polar world's economic powerhouses / spheres of influence, making for an easy to use visual when comparing a number of statistics:
GDP, GDP per Capita, External Debt, Government Debt, Exports, Imports, Gold Reserves, Employed Persons, Military Expenditure, Population, Bank Lending Rate, Balance of Trade, Central Bank Balance Sheet, M2 Money Supply, and CPI . Includes option to provide the total for each pole, or view individually for more detailed comparison. Meant to be used when analyzing the macro-economic conditions/trends in conjunction with other "Big Picture" type indicators when adjusting your macro framework.
TheMas7er scalp (US equity) 5min [promuckaj]This indicator was created according to TheMas7er's trading setup, that he reveal after 18 years of working in the industry. Claims is that this setup should give you good probability to predict the price movement for US equity.
This trading setup is only for New York equity trading session from 09:30 until 4pm. The market in which you should use it are the S&P 500 , Dow Jones, and Nasdaq. Perhaps it will work on some other but for those are good according to tests. It should not used on days with high-impact news, like CPI , FOMC, NFP and so on. The model can still work there but the probability on these days is way lower.
What is the base of this indicator, it marks what is called "The Defining Range"("DR"). This defining range is from 09:30am until 10:30am New York local time, it takes those 12 candles in the 5min chart. Indicator will mark the high and low of this range, including wicks. This will help you to already know at 10:30am, with possible good probability the high or low of the day.
There is also the "Implied Defining Range"("iDR") lines inside the "DR" range, which mark the highest body and the lowest body in the "DR" range.
*The rules (it is very simple to follow):
Chart must be set in 5min timeframe.
At 10:30am you still don't know which one will be the real high or low of the day, but only one will be true.
If price is closing on 5min chart above the "DR" it should give you good probability that the low of the "DR" is the low of the day, and vice versa - if price is closing below the "DR" it should give you good probability that the high of the "DR" is the high of the day.
"iDR" gives you an early indication about what high or low of the day should be. If price is closing above "iDR" you will have an early indication that the low of the "DR" should be the low of the day, and vice versa.
Note that about closing means really closing above or below, not just wicks.
Now, after this you can realize the magnitude of possibility.
You can use any entry model you prefer to trade, it doesn't matter if you use ICT concepts, smart money concepts, volume profile , eliot waves, braking the structure concept or whatever. There are so many possibilities for trading within this rule.
Enjoy!
Economic Calendar (Import from Spreadsheet)This script draws vertical lines to mark Economic Calendar Events.
Datetime of events is defined by user in Settings via a standardized line of text.
Motivation for coding this script:
All traders should be aware of economic calendar events. At times, when you really need to pay attention to an upcoming major event, you might even decide to use the vertical-line drawing tool to mark it. However, this takes manual effort.
This script provides a solution to performing mundane tasks such as drawing vertical lines and dragging them ever so slightly, just to have them approximately aligned with exact time.
Parameters:
(1) Source data - String representation of collection of datetime referencing to Economic Calendar Events
(2) Line color, & (3) Width of line - For displaying vertical lines drawn by script.
Standardized format for Source Data :
Example:
If 'GMT;2022,6,1,14,0,0;2022,6,2,12,15,0;' is provided to PineScript, then two vertical lines will be drawn on June 6, 2022 according to the exact time in 'YYYY,MM,DD,hh,mm,ss' format at the specified timezone (GMT in this case).
Template for Source Data :
Included here, link below, is a shared Google Sheet that systematically processes Economic Calendar data provided in the 'Raw Data' tab.
drive.google.com
Users are advised to use their preferred methods* to format the string (for source data param.), and apply their own criteria to sort down the Events. (ie. only include Events of High Impact, etc.)
* Preferred methods (as mentioned above) does not mean being limited to using the template as provided in this post.
Daily RTH Moving Average On Intraday Timeframes [vnhilton]This indicator is intended for intraday use from the daily timeframe down to the 1 minute. Outside this range, the indicator won't work as intended.
Higher timeframe moving averages are step-lines as they use values from higher timeframes to calculate the moving average. To have a smoother moving average from higher timeframes plotted on lower timeframes, this indicator uses the chart timeframe's candles, allowing for a smooth higher timeframe moving average. This indicator also includes Bollinger Bands. Note that the indicator only uses values from regular trading hours, as to not give weighting to values from extended trading hours.
In the chart above, at October 7th, pre-market price action is bearish due to fundamentals around US employment data. This day led to an all-day-fader, stopping above the June low after attempting to break down the level again (previous breakdown attempts led to the September low). Note that the price is within the Bollinger bands of the 5 day moving average. We can see in the following days that $SPY trended downwards, staying below the anchored VWAP when the October 7th news released, & pay attention to October 10th, where price attempts to make a new low-of-day but ends up outside the 5 day period ma, leading to a reversal. Look at October 13th, where pre-market price action again shows bearish sentiment, but due to fundamentals around CPI data. $SPY opens below the September low, but also ends up outside the daily 5 period MA bands, meaning that the downside extension has extended too far, signalling for a reversion to the mean. This is why October 13th didn't lead to another all-day-fader, & instead trapped sellers trying to short the pre-market low, helping to fuel the relief rally to cause the upsides the June & September lows, & the anchored VWAPs from both significant pre-market events, to be reclaimed, where price pauses at the confluence of the 5 day moving average & the June low.
FOMC & CPI DatesThis indicator plots vertical lines at the scheduled times of US Federal Reserve's FOMC Meeting Dates.
Data is based on U.S. Federal Open Market Committee (FOMC) Meeting Minutes
The Investment ClockThe Investment Clock was most likely introduced to the general public in a research paper distributed by Merrill Lynch. It’s a simple yet useful framework for understanding the various stages of the US economic cycle and which asset classes perform best in each stage.
The Investment Clock splits the business cycle into four phases, where each phase is comprised of the orientation of growth and inflation relative to their sustainable levels:
Reflation phase (6:01 to 8:59): Growth is sluggish and inflation is low. This phase occurs during the heart of a bear market. The economy is plagued by excess capacity and falling demand. This keeps commodity prices low and pulls down inflation. The yield curve steepens as the central bank lowers short-term rates in an attempt to stimulate growth and inflation. Bonds are the best asset class in this phase.
Recovery phase (9:01 to 11:59): The central bank’s easing takes effect and begins driving growth to above the trend rate. Though growth picks up, inflation remains low because there’s still excess capacity. Rising growth and low inflation are the Goldilocks phase of every cycle. Stocks are the best asset class in this phase.
Overheat phase(12:01 to 2:59): Productivity growth slows and the GDP gap closes causing the economy to bump up against supply constraints. This causes inflation to rise. Rising inflation spurs the central banks to hike rates. As a result, the yield curve begins flattening. With high growth and high inflation, stocks still perform but not as well as in recovery. Volatility returns as bond yields rise and stocks compete with higher yields for capital flows. In this phase, commodities are the best asset class.
Stagflation phase (3:01 to 5:59): GDP growth slows but inflation remains high (sidenote: most bear markets are preceded by a 100%+ increase in the price of oil which drives inflation up and causes central banks to tighten). Productivity dives and a wage-price spiral develops as companies raise prices to protect compressing margins. This goes on until there’s a steep rise in unemployment which breaks the cycle. Central banks keep rates high until they reign in inflation. This causes the yield curve to invert. During this phase, cash is the best asset.
Additional notes from Merrill Lynch:
Cyclicality: When growth is accelerating (12 o'clock), Stocks and Commodities do well. Cyclical sectors like Tech or Steel outperform. When growth is slowing (6 o'clock), Bonds, Cash, and defensives outperform.
Duration: When inflation is falling (9 o'clock), discount rates drop and financial assets do well. Investors pay up for long duration Growth stocks. When inflation is rising (3 o'clock), real assets like Commodities and Cash do best. Pricing power is plentiful and short-duration Value stocks outperform.
Interest Rate-Sensitives: Banks and Consumer Discretionary stocks are interest-rate sensitive “early cycle” performers, doing best in Reflation and Recovery when central banks are easing and growth is starting to recover.
Asset Plays: Some sectors are linked to the performance of an underlying asset. Insurance stocks and Investment Banks are often bond or equity price sensitive, doing well in the Reflation or Recovery phases. Mining stocks are metal price-sensitive, doing well during an Overheat.
About the indicator:
This indicator suggests iShares ETFs for sector rotation analysis. There are likely other ETFs to consider which have lower fees and are outperforming their sector peers.
You may get errors if your chart is set to a different timeframe & ticker other than 1d for symbol/tickers GDPC1 or CPILFESL.
Investment Clock settings are based on a "sustainable level" of growth and inflation, which are each slightly subjective depending on the economist and probably have changed since the last time this indicator was updated. Hence, the sustainable levels are customizable in the settings. When I was formally educated I was trained to use average CPI of 3.1% for financial planning purposes, the default for the indicator is 2.5%, and the Medium article backtested and optimized a 2% sustainable inflation rate. Again, user-defined sustainable growth and rates are slightly subjective and will affect results.
I have not been trained or even had much experience with MetaTrader code, which is how this indicator was originally coded. See the original Medium article that inspired this indicator if you want to audit & compare code.
Hover over info panel for detailed information.
Features: Advanced info panel that performs Investment Clock analysis and offers additional hover info such as sector rotation suggestions. Customizable sustainable levels, growth input, and inflation input. Phase background coloring.
⚠ DISCLAIMER: Not financial advice. Not a trading system. DYOR. I am not affiliated with Medium, Macro Ops, iShares, or Merrill Lynch.
About the Author: I am a patent-holding inventor, a futures trader, a hobby PineScripter, and a former FINRA Registered Representative.
Inflation Rate of ChangeInflation and the Fed interest rate impacts all corners of the economy. Today I am releasing to the community an indicator that measures the rate of change of inflation with historical data back to ~1950. I built this to study the historical market impacts of inflation and changes to the Fed rate (see separate indicator I published for Fed Funds Rate here ).
What this indicator does:
This indicator pulls in Consumer Price Index data and applies a rate of change formula to it. The output is measured as a percentage. I.e. 7 would mean a 7% rate of change over the look-back period.
Options in the indicator:
You can change the amount of bars back it uses to calculate rate of change. By default it is set to 253, which would be looking 1 year back on a normal stock market day chart. If you are on a month chart, you would input 12 there to look 1 year back, etc.
There are also different versions of the CPI that you can select with a drop-down input to pull in different inflation measures:
FRED:CPIAUCSL = Urban Consumers, All Items (this is the default data it pulls, and is a common way to measure inflation)
FRED:CPIUFDNS = Food
FRED:CPIHOSNS = Housing
FRED:CPIENGSL = Energy
Disclaimer: Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Live off your portofolio (decumulate)This indicator simulates living off your portofolio consisting of a single security or stock such as the SPY etf or even Bitcoin. The simulation starts at a certain point on the chart (which you input as year and month).
Withrawals from the portofolio are made each month according to the yearly withdrawal rate you enter, such as the 4% SWR. The monthly withdrawal income is calculated in USD at the beginning of the retirement period and then adjusted according to the US inflation (CPI) on 01/01 of each year.
The blue graph represents the USD value of the remaining portofolio.
This indicator is meant to be used on daily, weekly or monthly time frame. It may not work properly (and makes little sense to use) on intraday timeframe or larger time frames such as quarterly (3M).
When withdrawing, the indicator considers that fractional stock values can be used (the portofolio value is kept as a float). This may not be true, as most stock brokers currently don't allow this.
It does not explicitly take into account dividends. In order to do this you will have to enable "Adjust for dividends" by clicking on "adj" in the lower right corner of the screen, or by using the indicator on a Total Return (TR) index such as DAX. Unfortunately SPX does not have dividend data, you will have to use the SPY etf (which doesn't have a long history)
Deflated - ValShow Deflated values
Using for $ Quote :
Red line is Deflated by US CPI (Consumer Price Index)
Ticker : QUANDL:ECB/RTD_M_S0_N_P_C_OV_X
Using for € Quote :
Blue line is Deflated by EU HICP (Harmonised Index of Consumer Prices)
Ticker : QUANDL:RATEINF/CPI_USA
CAPE (Shiller PE) RatioCalculating the Shiller PE Ratio (aka cyclically adjusted price to earnings ratio). The calculation is similar to the traditional PE ratio, however uses the simple average of the earnings over past 5 years (default is 5, can choose different) adjusted for inflation (default is the Australian CPI index however a different index can be used in the input).
Total Inflation ModelMeasure of the total economy wide inflation of the US Dollar.
Total Inflation = growth rate of money supply / economic output
Ampleforth LevelsDisplays relevant Ampleforth (AMPL) levels:
- Target price, based on CPI (PCE)
- Equilibrium levels between which there is no rebase
