Smart Money IndicatorSmart Money Indicator
Overview:
The "Smart Money Indicator" is a custom Pine Script indicator designed to help traders identify potential instances of "smart money" or institutional activity in the financial markets. The concept of "smart money" suggests that institutional investors or sophisticated market participants may have an edge due to their access to resources, information, and analytical tools.
Indicator Features:
Volume Moving Average: The indicator calculates a simple moving average (SMA) of the trading volume over a specified length (default is 20 bars). This moving average serves as a baseline for evaluating current trading volume.
Smart Money Signals: The indicator plots green triangles below the price bars when the current trading volume is significantly higher (50% above) than the moving average. This is intended to highlight potential instances of "smart money" activity.
Dumb Money Signals: Conversely, the indicator plots red triangles above the price bars when the current trading volume is significantly lower (50% below) than the moving average. This is meant to indicate potential "dumb money" activity.
How to Use:
Traders can use this indicator to identify potential shifts in market sentiment driven by institutional activity. When the green "Smart Money" triangles appear, it may suggest increased institutional interest or significant trading volume, potentially signaling a noteworthy market event. Conversely, red "Dumb Money" triangles may indicate periods of reduced institutional activity.
Disclaimer:
It's important to note that this indicator is a simplified representation of the concept of "smart money" and should be used in conjunction with other technical and fundamental analysis tools. Trading decisions should not be based solely on this indicator, and thorough research and due diligence are essential before making trading or investment decisions.
Customization:
Traders can customize the indicator by adjusting the length of the volume moving average to match their trading preferences and strategies. Experimentation and fine-tuning may be necessary to optimize its performance for specific markets and timeframes.
Fundamental Analysis
Global Central Bank Balance Sheets (USD)Global Central Bank Balance Sheets (USD):
Aggregated:
- FED (Federal Reserve) - United States
- ECB (European Central Bank) - Eurozone
- PBC (People's Bank of China) - China
- BOJ (Bank of Japan) - Japan
- BOE (Bank of England) - United Kingdom
- BOC (Bank of Canada) - Canada
- RBA (Reserve Bank of Australia) - Australia
- RBI (Reserve Bank of India) - India
- SNB (Swiss National Bank) - Switzerland
- CBR (Central Bank of Russia) - Russia
- BCB (Central Bank of Brazil) - Brazil
- BOK (Bank of Korea) - South Korea
- RBZN (Reserve Bank of New Zealand) - New Zealand
- SR (Swedish Central Bank) - Sweden
- BNM (Bank Negara Malaysia) - Malaysia
Volume Traded in Total Outstanding Shares with basic fundamentalThis indicator helps to find Volume Traded in Total Outstanding Shares with basic fundamental parameters like MCAP, EPS, PE, D2E and No. Equity shares.
Session CandlesThis indicator is designed to visually represent different trading sessions on a price chart, highlighting candlestick colors to distinguish between bullish (upward movement) and bearish (downward movement) trends during various market sessions. Here's an overview of how the indicator works:
1. Session Definition: The indicator defines four distinct trading sessions:
- London Session: Typically covering the European trading hours.
- New York AM Session: Representing the morning hours of the New York trading session.
- New York PM Session: Representing the afternoon hours of the New York trading session.
- Asia Session: Encompassing the trading hours of the Asian markets.
2. Configuration Options: Users can customize the behavior of the indicator through input options. For each session, users can enable or disable the display of session-specific candles.
3. Candle Coloring: The indicator determines the color of candles based on the following criteria:
- For each session, it checks whether the current candle's closing price is higher than its opening price.
- If the closing price is higher, the candle is considered bullish, and a user-defined green color is used for the candle.
- If the closing price is lower, the candle is considered bearish, and a user-defined red color is applied.
4. Display: The indicator then applies the calculated candle colors to the respective candles of each trading session on the price chart. This visual distinction helps traders quickly identify the prevailing trend during different market sessions.
To use the indicator, traders can overlay it on their price charts in TradingView. By enabling or disabling specific trading sessions, they can focus on the trends and price movements during those specific time periods.
Please note that the actual appearance of the indicator on the chart depends on the user's chosen settings for session enablement and color preferences.
US Presidential ElectionsThis script can be useful in case of analyzing the impact of US presidential election on the past market.
It has separated settings for showing Inauguration and Election labels.
Fundamental Metrics v1.2LETS MAKE FUNDAMENTALS GREAT AGAIN!!!
This is a basic Script to show a list of financial metrics or key performance indicators (KPIs) that are commonly used to assess the financial health and performance of a company.
Let's break down what each of these metrics represents:
1. Long-Term Debt (LTD): This represents the total amount of debt that a company owes that is expected to be paid back over a period of more than one year. It includes bonds, loans, and other long-term borrowing.
2. Ex-Capital Lease: This might refer to the company's obligations related to capital leases, which are long-term lease agreements for assets like equipment or property. "Ex" typically stands for "excluding," so this could be the amount of capital lease obligations excluded from the company's financials.
3. Total Revenue: This is the total income generated by a company from its primary operations. It includes sales of goods or services before any deductions for costs or expenses.
4. Total Equity: This is the total value of ownership or shareholders' equity in the company. It represents the residual interest in the assets of the entity after deducting liabilities.
5. Cash & Equivalents: This refers to the total amount of cash and assets that are easily convertible into cash, such as marketable securities or short-term investments.
6. Revenue Estimates: This could refer to the company's projections or estimates of future revenues, typically for the current fiscal year (FY).
7. Free Cash Flow (FCF): FCF represents the cash generated by a company's operations after deducting capital expenditures (CapEx) required to maintain or expand its asset base. It's a measure of a company's ability to generate cash from its core operations.
8. EBITDA (Earnings Before Interest, Taxes, Depreciation, and Amortization): EBITDA is a measure of a company's operating performance. It looks at earnings before considering the effects of interest, taxes, depreciation, and amortization. It's often used to assess profitability.
9. Market Capitalization (Market Cap): Market cap is the total value of a company's outstanding shares of stock in the stock market. It's calculated by multiplying the current share price by the total number of outstanding shares.
These metrics are essential for investors, analysts, and stakeholders to evaluate a company's financial position, performance, and overall health. They provide insights into various aspects of a company's operations, such as its debt obligations, revenue generation, profitability, and market value. Companies often report these metrics in their financial statements and disclosures to help investors make informed decisions.
Dividends calculateThe indicator displays the date and amount of future dividends for the selected symbol.
Allows you to forecast the increase in cash volume on the market.
Stochastic Trend mtfDefinition
The Stochastic RSI indicator (Stoch RSI) is actually an indicator of an indicator. It is used in technical analysis to provide a stochastic calculation to the RSI indicator. This means it's an RSI measure relative to its own high/low range over a user-defined time period. Stochastic RSI is an oscillator that calculates a value between 0 and 1 and then plots it as a line. This indicator is primarily used to identify overbought and oversold conditions.
It is important to remember that the Stoch RSI is an indicator of an indicator that is two steps away from the price. The RSI is one step away from the price and therefore a stochastic calculation of the RSI is two steps away. This is important because as with any indicator that is more than one step away from price, the Stoch RSI can be short-term disconnected from actual price action. However, as a range-bound indicator, the Stoch RSI's primary function is to identify cross-bought, overbought and oversold conditions.
Use
When we integrate it into our chart in the upper time frame, it both gives the direction of the trend more healthy and is more efficient in terms of noise reduction in terms of leaving the overbought-sold zones. Unlike the classic stochastic, I set the "d" value to 8. Even though the trend returns are a little late, we see healthier data on our graph. Trend changes in overbought zones are getting stronger. Coloring red indicates that the trend is selling, while painting green indicates that the trend is buying. I hope you find it useful, if you have any questions or suggestions, please feel free to ask.
Good luck...
It is not investment advice.
Bursa Malaysia Index SeriesBursa Malaysia Index Series. The index computation is as follows:-
Current aggregate Market Capitalisation/Base Aggregate Market Capitalisation x 100.
The Bursa Malaysia Index Series is calculated and disseminated on a real-time basis at 60-second intervals during Bursa’s trading hours.
Bitcoin to GOLD [presentTrading]**Introduction and How it is Different**
Unlike traditional indicators, the BTGR offers a unique perspective on market sentiment and asset valuation by juxtaposing two seemingly disparate assets: Bitcoin, the digital gold, and Gold, the traditional store of value. This article introduces an advanced version of this ratio, complete with upper and lower bands calculated using standard deviations. These bands add an extra layer of analytical depth, allowing for more nuanced trading strategies.
BTCUSD 12h bigger picture
**Economic Principles**
The BTGR is rooted in the economic principles of asset valuation and market sentiment. Gold has long been considered a safe haven asset, a place where investors park their money during times of economic uncertainty. Bitcoin, on the other hand, is often viewed as a high-risk, high-reward investment. By comparing the two, the BTGR provides insights into the broader market sentiment.
- Risk Appetite: A high BTGR indicates a bullish sentiment towards riskier assets like Bitcoin.
- Market Uncertainty: A low BTGR suggests a bearish sentiment and a flight to the safety of Gold.
- Asset Diversification: The BTGR can be used as a tool for portfolio diversification, helping investors balance risk and reward.
**How to Use It**
Setting Up the Indicator
- Platform: The indicator is designed for use on TradingView.
- Time Frame: A 480-minute time frame is recommended for more accurate signals.
- Parameters: The moving average is set at 200 periods, and the standard deviation is calculated over the same period.
**Trading Signal**
Long Entry: Consider going long when the BTGR crosses above the upper band.
Short Entry: Consider going short when the BTGR crosses below the lower band.
Note: Due to the issue that the number of trading is less than about 100 times, the corresponding strategy is not allowed to publish.
Adjusted Volume - 20 to 18-dayScript based off the definition Adjusted Volume means the sum of trading volume for a period of 20 consecutive trading days ending on the day preceding the date of determination; provided, however, that the day with the highest volume and the day with the lowest volume shall be eliminated and only the remaining 18 days summed.
FVG w/ Fibs [QuantVue]The "FVG w/ Fibs" indicator is a trading tool designed to identify and visualize Fair Value Gaps (FVGs) while overlaying two Fibonacci retracement levels.
• Bullish FVG: Occurs when the low of the current bar is higher than the high of two bars ago, and the previous close is higher than the high of two bars ago.
• Bearish FVG: Occurs when the high of the current bar is lower than the low of two bars ago, and the previous close is lower than the low of two bars ago.
The indicator filters these gaps based on user-defined criteria such as the minimum percentage size of the gap.
Once identified, these FVGs are highlighted on the chart using customizable boxes and the 50% and 61.8% (default settings) Fibonacci retracement levels are calculated and drawn based on the size of the identified FVG.
• Dynamically updates and extends the boxes as the price evolves.
• Alerts / visual changes for FVGs that get filled.
• User option for fills by Wicks or Close
• User-customizable settings for box colors, styles, and Fibonacci level appearances
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
Global M2 YoY % Change (USD)M2 Global Money Supply in USD terms for nations with historical available past ~10 years, year over year % change.
Global M2 Money Supply (USD)M2 Global Money Supply in USD terms for nations with historical available past ~10 years.
Bitcoin CME Gap TrackerCME Bitcoin Futures Gaps: What Are They and Why Are They Important?
Gaps are breaks between price candles on charts, illustrating the intervals between the closing price of the previous period and the opening price of the next. For Bitcoin on CME, these gaps arise due to the particular workings of this market.
Bitcoin and other cryptocurrencies trade 24/7 without breaks. However, CME Bitcoin Futures, like many other financial instruments on traditional exchanges, have weekends and trading pauses. When the Bitcoin market continues to move during weekends or CME closures, and then CME opens on the subsequent trading day, a price disparity can occur, perceived as a gap.
Several studies suggest that in most cases (approximately 70% and more), the market reverts to "close" these gaps. This phenomenon is observed because large liquidity is concentrated at these gap points. There are many unfilled orders in gap zones, placed at specific prices. When the price reaches these levels, it can swiftly react to this "clustering" of orders, potentially leading to the gap's closure.
Therefore, CME Bitcoin Futures gaps not only reflect crucial psychological moments in the market but can also serve as potential entry or exit points, considering the high liquidity in these zones.
Technical Description:
The script is designed to identify gaps in the Bitcoin Futures chart on CME. It automatically detects gaps that appear on Mondays (since CME is closed on weekends) and are larger than the user-specified percentage.
Key Features:
Identification of the weekday to detect gaps that arose on Monday.
Calculation of positive and negative gaps by comparing the highs and lows of the previous candles with the current ones.
Graphical representation of the gaps using lines and labels on the chart.
User Guide:
Add this script to your TradingView chart.
You can adjust the "Show gaps larger than %" parameter to determine the minimum gap size of interest.
Gaps will be automatically displayed on your chart with lines and labels.
Financial Ratios Fundamental StrategyWhat are financial ratios?
Financial ratios are basic calculations using quantitative data from a company’s financial statements. They are used to get insights and important information on the company’s performance, profitability, and financial health.
Common financial ratios come from a company’s balance sheet, income statement, and cash flow statement.
Businesses use financial ratios to determine liquidity, debt concentration, growth, profitability, and market value.
The common financial ratios every business should track are
1) liquidity ratios
2) leverage ratios
3)efficiency ratio
4) profitability ratios
5) market value ratios.
Initially I had a big list of 20 different ratios for testing, but in the end I decided to stick for the strategy with these ones :
Current ratio: Current Assets / Current Liabilities
The current ratio measures how a business’s current assets, such as cash, cash equivalents, accounts receivable, and inventories, are used to settle current liabilities such as accounts payable.
Interest coverage ratio: EBIT / Interest expenses
Companies generally pay interest on corporate debt. The interest coverage ratio shows if a company’s revenue after operating expenses can cover interest liabilities.
Payables turnover ratio: Cost of Goods sold (or net credit purchases) / Average Accounts Payable
The payables turnover ratio calculates how quickly a business pays its suppliers and creditors.
Gross margin: Gross profit / Net sales
The gross margin ratio measures how much profit a business makes after the cost of goods and services compared to net sales.
With this data, I have created the long and long exit strategy:
For long, if any of the 4 listed ratios,such as current ratio or interest coverage ratio or payable turn ratio or gross margin ratio is ascending after a quarter, its a potential long entry.
For example in january the gross margin ratio is at 10% and in april is at 15%, this is an increase from a quarter to another, so it will get a long entry trigger.
The same could happen if any of the 4 listed ratios follow the ascending condition since they are all treated equally as important
For exit, if any of the 4 listed ratios are descending after a quarter, such as current ratio or interest coverage ratio or payable turn ratio or gross margin ratio is descending after a quarter, its a potential long exit.
For example in april we entered a long trade, and in july data from gross margin comes as 12% .
In this case it fell down from 15% to 12%, triggering an exit for our trade.
However there is a special case with this strategy, in order to make it more re active and make use of the compound effect:
So lets say on july 1 when the data came in, the gross margin data came descending (indicating an exit for the long trade), however at the same the interest coverage ratio came as positive, or any of the other 3 left ratios left . In that case the next day after the trade closed, it will enter a new long position and wait again until a new quarter data for the financial is being published.
Regarding the guidelines of tradingview, they recommend to have more than 100 trades.
With this type of strategy, using Daily timeframe and data from financials coming each quarter(4 times a year), we only have the financial data available since 2016, so that makes 28 quarters of data, making a maximum potential of 28 trades.
This can however be "bypassed" to check the integrity of the strategy and its edge, by taking for example multiple stocks and test them in a row, for example, appl, msft, goog, brk and so on, and you can see the correlation between them all.
At the same time I have to say that this strategy is more as an educational one since it miss a risk management and other additional filters to make it more adapted for real live trading, and instead serves as a guiding tool for those that want to make use of fundamentals in their trades
If you have any questions, please let me know !
Inflation-adjusted performanceOVERVIEW
The Inflation-adjusted performance indicator plots an adjusted closing price for the asset
on the main chart by multiplying the asset price by an inflation factor which is derived from CPI-U. The indicator has a `lookback` length, which is used to lookup the CPI-U index value from `lookback` years ago.
The inflation adjusted price is then calculated as `inflationAdjustedPrice = CPIToday / CPIBackThen * currentPrice`
CONCEPTS
This can be a useful tool to assess how an asset has performed as a store of value and inflation hedge over a given period.
The following are the key concepts and user inputs for the oscillator:
Input: The user can specify the lookback period, in years, using the `lookback` attribute on the settings widget. Defult is 13.
CPI Data: The indicator uses CPI data from tradingview's BLS feed.
Inflation Factor: An inflation factor is calculated by dividing today's CPI by the CPI from the lookback period. This factor represents the increase in prices due to inflation over the lookback period.
Inflation-adjusted Price: The offer price of the asset from `lookback` years ago is adjusted for inflation using the calculated inflation factor. This adjusted price represents what the offer price would be today if it had kept up with inflation.
Realized Profit & Loss [BigBeluga]The Realized Loss & Profit indicator aims to find potential dips and tops in price by utilizing the security function syminfo.basecurrency + "_LOSSESADDRESSES".
The primary objective of this indicator is to present an average, favorable buying/selling opportunity based on the number of people currently in profit or loss.
The script takes into consideration the syminfo.basecurrency, so it should automatically adapt to the current coin.
🔶 USAGE
Users have the option to enable the display of either Loss or Profit, depending on their preferred visualization.
Examples of displaying Losses:
Example of displaying Profits:
🔶 CONCEPTS
The concept aims to assign a score to the data in the ticker representing the realized losses. This score will provide users with an average of buying/selling points that are better to the typical investor.
🔶 SETTINGS
Users have complete control over the script settings.
🔹 Calculation
• Profit: Display people in profit on an average of the selected length.
• Loss: Display people in loss on an average of the selected length.
🔹 Candle coloring
• True: Color the candle when data is above the threshold.
• False: Do not color the candle.
🔹 Levels
- Set the level of a specific threshold.
• Low: Low losses (green).
• Normal: Low normal (yellow).
• Medium: Low medium (orange).
• High: Low high (red).
🔹 Z-score Length: Length of the z-score moving window.
🔹 Threshold: Filter out non-significant values.
🔹 Histogram width: Width of the histogram.
🔹 Colors: Modify the colors of the displayed data.
🔶 LIMITATIONS
• Since the ticker from which we obtain data works only on the daily timeframe, we are
restricted to displaying data solely from the 1D timeframe.
• If the coin does not have any realized loss data, we can't use this script.
Daily Network Value to Transactions Signal (NVTS)
Quote of GlassNode ...
The NVT Signal (NVTS) is a modified version of the original NVT Ratio.
It uses a 90 day moving average of the daily transaction volume in the denominator instead of the raw daily transaction volume.
This moving average improves the ratio to better function as a leading indicator.
The Network Value to Transactions (NVT) Ratio is calculated by dividing the market cap by the transferred on-chain volume measured in USD.
GlassNode says the NVT Ratio was created by Willy Woo.
I have peaked into Glassnode and took their idea.
I also added a few more Moving Averages to select from, and the length can also be changed.
This script does not depend on Glassnode alone, instead I pulls data of several services...
CoinMarketCap
CoinMetrics
GlassNode
IntoTheBlock
Therefor we have more Tokens to select from.
I have also blocked some faulty data of each service.
If you get a study error of any kind then there is no data available,
or you on a wrong timeframe.
Best to use this script in a daily chart.
And keep in mind it pulls data of yesterday.
Therefor the plot is offset by 1 to the left.
The script will check each service if the data for the chart is available.
Market Cap is taken in the following order ...
CainMarketCap
GlassNode
CoinMetrics
Transaction volume as USD is taken in the following order ...
IntoTheBlock
CoinMetrics
GlassNode
Happy Trading!
Bull and Bear Market '20% IndicatorThis indicator uses the somewhat crude method of calculating bear/bull markets using the following popular ' 20% rule ':
A bear market begins when an asset trades 20% below its recent high for more than two months, a bear market ends when an asset trades 20% above its recent low for one month or more.
The 1d time-frame should be used, here's why:
"A bear market begins when an asset trades 20% below its recent high for more than two months."
If we take the standard trading month to be around 20-22 days (excluding weekends), then two months would be approximately 40-44 days. This is why we set the `bearDuration` to 60 days in the script to capture the "more than two months" criteria. Using a daily timeframe, 60 bars represent roughly 3 months (since markets are not open every day due to weekends and holidays).
"...a bear market ends when an asset trades 20% above its recent low for one month or more."
This is why the `bullDuration` is set to 20 days in the script, which represents roughly one trading month on a daily timeframe.
So, to capture the mentioned bear and bull market definitions, you'd want to apply the script on a daily (1d/1D) chart.
Book Value Per Share OverlayThis indicator will overlay the book value per share along with the price chart so that you can quickly judge where the price is in relation with the value of the company.
Offset ProjectIntended for use with CPI symbols like:
CPIAUCNS (all items)
CPILFENS (core)
Shows the CPI values from a year ago, next to the current values. This makes it easier to visualize the base effects .
Has a ' max inflation rate ' parameter. This is shown as a red line. So for example, if it's set to 3, then CPI must stay below the red line in in order for the inflation rate to stay below 3.
Realized price for BTC, ETH, LTCThis script calculates the realized price of BTC/ETH/LTC and shows a signal when the market price falls below the realized price - which can be signal a for potential market bottom. The realized price calculation is based on Glassnode data MVRV ratio.
- Realized Price is the average price of the Bitcoin supply, valued at the day each coin last transacted on-chain. This is often considered the 'on-chain cost basis' of the market.
- MVRV Ratio is the ratio between the market value (MV, spot price) and the Realized value (RV, realized price), allowing for a visualization of Bitcoin market cycles, and profitability.
Calculations:
REALIZED PRICE = REALIZED MARKET CAP / CIRCULATION SUPPLY
REALIZED MARKET CAP = 1 / MVRV * MARKET CAP
It's working with BTCUSD, ETHUSD, LTCUSD tickers only.