Quantitative Risk Navigator [kikfraben]📊 Quantitative Risk Navigator - Your Financial Performance GPS
Navigate the complexities of financial markets with confidence using the Quantitative Risk Navigator. This indicator provides you with a comprehensive dashboard to assess and understand the risk and performance of your chosen asset.
📈 Key Features:
Alpha and Beta Analysis: Uncover the outperformance (Alpha) and risk exposure (Beta) of your asset compared to a selected benchmark. Know where your investment stands in the market.
Correlation Insights: Understand the relationship between your asset and its benchmark through a clear visualization of correlation trends over different time lengths.
Risk-Return Metrics: Evaluate risk and return simultaneously with Sharpe and Sortino ratios. Make informed decisions by assessing the reward-to-risk ratio of your investment.
Omega Ratio: Gain deeper insights into your asset's performance by analyzing the Omega Ratio, which highlights the distribution of positive and negative returns.
Customizable Visualization: Tailor your chart to focus on specific metrics and time frames. Choose which metrics to display, allowing you to concentrate on the aspects that matter most to you.
Interactive Metrics Table: A user-friendly metrics table provides a quick overview of key values, including average metrics, enabling you to grasp the financial health of your asset at a glance.
Color-Coded Clarity: The indicator employs color-coded visualizations, making it easy to identify bullish and bearish trends, helping you make rapid and informed decisions.
🛠️ How to Use:
Symbol Selection: Choose your base symbol and preferred data source for analysis.
Risk-Free Rate: Input your risk-free rate to fine-tune calculations.
Length Customization: Adjust the lengths for different metrics to align with your analysis preferences.
Whether you're a seasoned trader or just stepping into the financial world, the Quantitative Risk Navigator empowers you to make strategic decisions by providing a comprehensive view of your asset's risk and return profile. Stay in control of your investments with this powerful financial GPS.
🚀 Start Navigating Your Financial Journey Today!

# Alpha

10 MAs Alpha Indicator by MontyThis indicator is a part of the script I coded earlier this month.
The name is to surprise one of our discord member.
I will publish that indicator in a few days as well, but publishing this as a gesture of giving back to the community.
Indicator has:
10 Moving Averages
Adjustable Color, Opacity and Size etc
Shows Labels for each of the MA.
Can be shifted between EMA or SMA
Can be fixed to show a specific TF MA on current Timeframe.

Capital Asset Pricing Model (CAPM) [Loxx]Capital Asset Pricing Model (CAPM) demonstrates how to calculate the Cost of Equity for an underlying asset using Pine Script. This script will only work on the monthly timeframe. While you can change the default inputs, you should study what CAPM is and how this works before doing so. This indicator pulls various types of data from SPY from various timeframes to calculate risk-free rates, market premiums, and log returns. Alpha and Beta are computed using the regression between underlying asset and SPY. This indicator only calculates on the most recent data. If you wish to change this, you'll have to save the script and make adjustments. A few examples where CAPM is used:
Used as the mu factor Geometric Brownian Motion models for options pricing and forecasting price ranges and decay
Calculating the Weighted Average Cost of Capital
Asset pricing
Efficient frontier
Risk and diversification
Security market line
Discounted Cashflow Analysis
Investment bankers use CAPM to value deals
Account firms use CAPM to verify asset prices and assumptions
Real estate firms use variations of CAPM to value properties
... and more
Details of the calculations used here
Rm is calculated using yearly simple returns data from SPY, typically this is just hard coded as 10%.
Rf is pulled from US 10 year bond yields
Beta and Alpha are pulled form monthly returns data of the asset and SPY
In the past, typically this data is purchased from investments banks whose research arms produce values for beta, alpha, risk free rate, and risk premiums. In 2022 ,you can find free estimates for each parameter but these values might not reflect the most current data or research.
History
The CAPM was introduced by Jack Treynor (1961, 1962), William F. Sharpe (1964), John Lintner (1965) and Jan Mossin (1966) independently, building on the earlier work of Harry Markowitz on diversification and modern portfolio theory. Sharpe, Markowitz and Merton Miller jointly received the 1990 Nobel Memorial Prize in Economics for this contribution to the field of financial economics. Fischer Black (1972) developed another version of CAPM, called Black CAPM or zero-beta CAPM, that does not assume the existence of a riskless asset. This version was more robust against empirical testing and was influential in the widespread adoption of the CAPM.
Usage
The CAPM is used to calculate the amount of return that investors need to realize to compensate for a particular level of risk. It subtracts the risk-free rate from the expected rate and weighs it with a factor – beta – to get the risk premium. It then adds the risk premium to the risk-free rate of return to get the rate of return an investor expects as compensation for the risk. The CAPM formula is expressed as follows:
r = Rf + beta (Rm – Rf) + Alpha
Therefore,
Alpha = R – Rf – beta (Rm-Rf)
Where:
R represents the portfolio return
Rf represents the risk-free rate of return
Beta represents the systematic risk of a portfolio
Rm represents the market return, per a benchmark
For example, assuming that the actual return of the fund is 30, the risk-free rate is 8%, beta is 1.1, and the benchmark index return is 20%, alpha is calculated as:
Alpha = (0.30-0.08) – 1.1 (0.20-0.08) = 0.088 or 8.8%
The result shows that the investment in this example outperformed the benchmark index by 8.8%.
The alpha of a portfolio is the excess return it produces compared to a benchmark index. Investors in mutual funds or ETFs often look for a fund with a high alpha in hopes of getting a superior return on investment (ROI).
The alpha ratio is often used along with the beta coefficient, which is a measure of the volatility of an investment. The two ratios are both used in the Capital Assets Pricing Model (CAPM) to analyze a portfolio of investments and assess its theoretical performance.
To see CAPM in action in terms of calculate WACC, see here for an example: finbox.com
Further reading
en.wikipedia.org

AlphaTrend Strategy with Trailing SL %this is a modified version of AlphaTrend Strategy with added trailing Stop Loss
this is my first script that I have added to tradingview community
the trailing SL makes it very effective to lower the losses and can improve the overall return

regressLibrary "regress"
produces the slope (beta), y-intercept (alpha) and coefficient of determination for a linear regression
regress(x, y, len) regress: computes alpha, beta, and r^2 for a linear regression of y on x
Parameters:
x : the explaining (independent) variable
y : the dependent variable
len : use the most recent "len" values of x and y
Returns: : alpha is the x-intercept, beta is the slope, an r2 is the coefficient of determination
Note: the chart does not show anything, use the return values to compute model values in your own application, if you wish.

Market Movers: Sectoral IndexThe indicator will show the Sectors which are leading or lagging NIFTY50 index based on Alpha & Beta values. Stock selection can be done based on the respective Sectors.
Look for alpha & beta values.
Prefer one with high beta.
Greens are leaders & Blues are lagers.
This don't completely indicates a trend, but it can give the overview of a major trend & market movers.
Gray line is the base index NIFTY50, it is Zero.
Turn on Indicator Name Label in Settings > Chart Settings.
In intraday or positions, in a leading Sector there will be a leading stock, spot it out.
Make a sector wise watchlist of stocks.
Use higher or Daily timeframe for Swing trades.
Detailed descriptions are available in my previous Alpha & Beta indicators.

Screener: Alpha & Beta IndexThis is a Index Screener which can short list the major Sectors contributing to NIFTY movement that day.
This helps in sector based trading, in which we can trade in the stocks which falls under that particular sector.
No need to roam around all the stocks in the whole watchlist.
It is recommended to create sector wise watchlist of all sectors. It will be easier to concentrate in only one sector.
For example in IT sector index there are certain stocks which contribute to the movement of IT sector.
This will be available in NSE (or exchange website).
For detailed description check out the descriptions in my previous 2 Alpha and Beta indicators.
Combine and use this screener with my previous Alpha & Beta indicator.

Screener: Alpha & BetaThis is a Live Screener for my previous Alpha & Beta indicator, which filters stocks lively based on the given values.
Use 5min timeframe for Live Intraday.
The default stocks in the screener is selected based on high beta value from F&O listed stocks. It may include other stocks also.
User can input stocks of your choice either through the menu or through the Pine editor.
The maximum number of stocks inputs is only 40. The indicator includes only 20 stocks by default.
More number of stocks can be added but it makes the screener slower to load.
Open the indicator in a sperate tab or window to avoided the loading lag.
It is recommended to choose only 10 to 20 stocks based on the weightage from each sectors.
Beta values are dynamic. It changes from day to day based on the trend and sector.
Update the sock list weekly or twice a week or monthly.
Use investing.com screener(preferably) or TradingView screener for shortlisting beta stocks.
Remember that majority of indicators fails in a sideways market, also every indicator is not 100% accurate.

Alpha & BetaHow to use Alpha(α)?
If Alpha is positive the stock outperforms, if the value is negative means the stock underperforms.
α < 0: The investment has earned too little for its risk (or, was too risky for the return)
α = 0: The investment has earned a return adequate for the risk taken
α > 0: The investment has a return in excess of the reward for the assumed risk
How to use Beta(β)?
β = 1: Exactly as volatile as the index
β > 1: More volatile than the index
β < 1 > 0: Less volatile than the index
β = 0: Uncorrelated to the index
β < 0: Negatively correlated to the index
β > 2: Trending stock
Higher the β higher risk/reward
Example: If the beta is 1.1, the share price is like to move by 10% more than the index
Trading Tip
Choose a stock with Alpha greater than 0 and Beta greater than 1.9 for intraday in 5min timeframe for long positions
Remember that such stocks will have high risk and high reward
Shortlist stocks with Beta greater than 1.9 for next day in 5min timeframe

Portfolio Metrics = α(Jensen's), β, CAPM(Ra), Sharpe, TreynorPortfolio Metrics...
Standard Deviation
Jensen's Alpha
Beta
Expected Return (CAPM, Ra)
Sharpe Ratio
Treynor Ratio

Alpha & BetaAlpha & Beta Indicators for Portfolio Performance
β = Σ Correlation (RP, RM) * (σP/σM)
α P = E(RP) –
Where,
RP = Portfolio Return (or Investment Return)
RM = Market Return (or Benchmark Index)
RF = Risk-Free Rate
How to use the Indicator
RM = SPX (Default)
The Market Return for the indicator has the options of $SPX, $NDX, or $DJI (S&P 500, Nasdaq 100, Dow 30)
RF = FRED: DTB3
The Risk-Free Rate in the Indicator is set to the 3-Month Treasury Bill: Secondary Market Rate
The Default Timeframe is 1260 or 5-Years (252 Trading Days in One Year)
RP = The symbol you enter
HOWEVER , you can determine your portfolio value by following the following directions below.
Note: I am currently working on an indicator that will allow you to insert the weights of your positions.
Complete Portfolio Analysis Directions
You will first need...
a) spreadsheet application - Google Sheets is Free, but Microsoft Excel will convert ticker symbols to Stocks and Retrieve Data.
b) your current stock tickers, quantity of shares, and last price information
In the spreadsheet,
In the first column list the stock tickers...
AMZN
AAPL
TSLA
In the second column list the quantity of shares you own...
5
10
0.20
In the third column insert the last price
Excel: Three tickers will automatically give you the option to "Convert to Stocks",
after conversion, click once on cell and click the small tab in the upper right-hand of the highlighted cell.
Click the tab and a menu pops up
Find "Price", "Price Extended-Hours", or "Previous Close"...
$3,284.72
$497.48
$2,049.98
Next, multiply the number of shares by the price (Stock Market Value)
Excel: in fourth column type "=(B1*C1)", "=(B2*C2)", "=(B3*C3)"...
= $16,423.60
= $4,974.80
= $410.00
add the three calculated numbers together or click "ΣAutoSum" (Portfolio Market Value)
= $21,808.40
Last, divide the market value of AMZN ($16,423.60) by the Portfolio Market Value ($21,808.40) for each of the stocks.
= 0.7531
= 0.2281
= 0.0188
These values are the weight of the stock in your portfolio.
Go back to TradingView
Enter into the "search box" the following...
AMZN*0.7531 + AAPL*0.2281 + TSLA*0.0188
and click Enter
Now you can use the "Alpha & Beta" Indicator to analyze your entire portfolio!

Fill Strength Gradient [BigBitsIO]This script plots two moving averages but is mostly designed to highlight a fill strength gradient. The fill strength gradient shows a more opaque fill based on the current percentage difference of the current difference to the maximum difference in two MAs in a trend.
Citation: PinceCoders - Slight modification on color functions

Alpha-Decreasing Exponential Moving AverageThe alpha parameter of this moving average decreases with every new bar on the chart, so it will become more slowly and slowly in course of time. Can act like additional support/resistance line but works in an acceptable way on weekly and monthly timeframes only.

Alpha-Sutte ModelThe Alpha-Sutte model is an ongoing project run by Ansari Saleh Ahmar, a lecturer and researcher at Universitas Negeri Makassar in Indonesia, that attempts to make forecasts for time series like how Arima and Holt-Winters models do. Currently Ahmar and his team have conducted research and published papers comparing the efficacy of the Alpha-Sutte and other models, such as Arima and Holt-Winters, on topics ranging from forecasting Turkey's CPI data, Bitcoin prices, Apple's stock prices, primary energy supply of Indonesia, to infant mortality rates in China.
The Alpha-Sutte model in comparison to the other two models listed above shows promise in providing a more accurate forecast, and the project has been able to receive some of its funding from organizations such as the US Agency for International Development, which is a part of the US Federal Government, so maybe the project has some actual merit.
How it works:
In this model there are four values presented at the top of the window.
1) The first value in blue is the value of the Alpha-Sutte model whose purpose is to forecast the price of the current bar.
2) The second value in yellow is an adaptive version of the Alpha-Sutte model that I made. The purpose of the adaptive Alpha-Sutte model is to expand upon the Alpha-Sutte by allowing new information to be introduced, causing the value to change during the current period, hence the adaptiveness of it.
3) The third value in aqua is the moving average of the low% Sutte line which is a predictive line that is based off of the close and low of the current and previous periods.
4) The fourth value in red is the moving average of the high% Sutte line which is a predictive line that is based off of the close and high of the current and previous periods.
Trend signals:
If low% Sutte (aqua value/line) is greater than high% Sutte (red value/line) then this is a buy signal.
If high% Sutte (red value/line) is greater than low% Sutte (aqua value/line) then this is a sell signal.
Caveat:
Even though this model's purpose is to forecast the future, will it be able to predict periods of large movements? No, of course not, but it will adjust quickly to try to make more accurate forecasts for the next period. This was also a reason why I made an adaptive version of this model to try to reduce some of the discrepancies between the Alpha Sutte and price when there is a large unexpected move.
*WARNING before using this I would highly recommend that you look up "Sutte Indicator" online and read some of the papers about this model before you use this , even though this model has shown merit when compared to Arima and Holt-Winter models this is still an ongoing project.*
Hopefully this project will actually come to something in the near future as the calculation for this time series predictive model is much easier to calculate and program in pine editor than something like an Arima model.
*Also, if you know how to use R language there is a package for the "Alpha-Sutte model".*

Cryptocurrency α / β (Alpha and Beta)Alpha and Beta for cryptocurrency. Custom input for other symbols.

[NG] Indicator - Altcoin Alpha - v1(Created for Client)
Alpha (Unique price action of asset) indicator for ALTcoins implementation, taking `BINANCE:BTCUSDT` as the market reference. Can be improved by adding more BTC charts from more sources, so as to get a unified chart of BTC for market representation.
Set `alpha period` to a value, wherein you want to see the unique price action of the asset. For short term trend, a value of 24 is good for `1H` charts (1 day), and value of 168 is good for long term trends on `1H` charts (1 week trend).
Corresponding values of `beta period` should be `168` (1 week for 1 day alpha) and `720` (1 month for 1 week alpha period).
You can set `alpha` and `beta` period as per your requirements.
Regards,

Cyclical vs. Defensive Sector Alphashows mean excess returns of defensive and cyclical sectors vs. S&P500

Alpha strategy - simple versionThis Strategy goes long when Sharpe Ratio is > 1 and Alpha against the S&P500 is generated. It exits when conditions break away. en.wikipedia.org(finance). Use on daily or 5min.

Betaen.wikipedia.org(finance)
Beta is a measure of the risk arising from exposure to general market movements as opposed to idiosyncratic factors.
The market portfolio of all investable assets has a beta of exactly 1 (here the S&P500). A beta below 1 can indicate either an investment with lower volatility than the market, or a volatile investment whose price movements are not highly correlated with the market

Alpha strategyUSE ON DAILY TIMEFRAME TO DETECT MOMO STOCKS & ETFs AND TRADE THEM
This Strategy goes long when Sharpe Ratio is > 1 and Alpha against the S&P500 is generated. It exits when conditions break away. Strategy can be adapted to run intraday, it however needs different (lower) trigger levels.
examples to try this on: GER30, NAS100, JPN225, AAPL, IBB, TSLA, etc.

AlphaAlpha is a measure of the active return on an investment, the performance of that investment compared to the S&P500 index, where 0.01 = 1%
alpha < 0: the investment has earned too little for its risk (or, was too risky for the return)
alpha = 0: the investment has earned a return adequate for the risk taken
alpha > 0: the investment has a return in excess of the reward for the assumed risk