I'm not 100% satisfied with the strategy performance output I receive from TradingView. Quite often I want to see something that is not available by default. I usually export raw trades/metrics from TradingView and then do additional analysis manually.
But with tables, you can build additional metrics and tools for your strategies quite easily.
This script will...
What does this indicator show?
This indicator shows the rolling return of a set lookback period.
The default indicator value is 20 which will show the rolling 20-day return because 20 trading days is 1 month.
Hi!
I want to share a simple script I built to analize the seasonality of Bitcoin and other assets.
So far it just displays the average return of each month, but I might add some more things later on.
The best timeframe to use it is the monthly timeframe it works on all timeframes but you need the full history for the average, and on weekly you will see issues...
**This indicator can be applied to the ticker of your choice (not just BTC)**
Markets are said to be "efficient". An efficient market is by definition unpredictable - no matter the amount of ML, computation, or indicators thrown at it. In particular, in an efficient market, TA will not be of help.
An illustration of efficient markets is the WSJ's longstanding...
A combined version of two already published indicators:
Combo Month-to-Month % Return (January - June)
Combo Month-to-Month % Return (July - December)
Allows to compare an asset's monthly returns over years.
Includes:
Customizable columns
Up to 20 columns per each chart
Customizable Min, Max, Mean, Median and Standard Deviation lines
Customizable labels
This Script displays Regular or Log Returns as either a line or histogram and labels the current bar.
If something other than price is selected as the source, the result is percent change with a positive or negative slope.
If a moving average of price is used as the source, the result is analogous to a strength index
Other options include a look-back period...
The Kolmogorov–Smirnov test aims to tell you if the distribution of prices (or log returns) tends to follow a normal distribution or not. You can read about this test on Wikipedia . It seems to be a basic but trusted measure in the quantitative trading world.
When KS-t columns are blue, then it's safe to assume normal distribution. When they are red, the normal...
Portfolio Risk Metrics (Part I):
beta 'β'
The beta coefficient can be interpreted as follows:
β =1 exactly as volatile as the market
β >1 more volatile than the market
β <1>0 less volatile than the market
β =0 uncorrelated to the market
β <0 negatively correlated to the market
excerpt from the Corporate Finance Institute
correlation coefficient 'ρxy'...
By studying historical data we can know the compounded growth rate of an investment from the inception date. For example if we know that an investment has grown at the rate of 6% in the past and if we expect similar growth in the future also, We can plot this graph to understand whether the current price is underpriced or overpriced as per projected return.
In...
Alpha Performance of Period (PoP) produces a visualization of returns (gains and losses) over a quarterly, monthly, or annual period. It also displays the total % gain and loss over any length of days, months, and years as defined by the user.
Performance of Period (PoP) can be used to understand the performance of an asset over multiple periods using a single...
Year-to-Date (YTD) return describes the return so far this year. It refers to the amount of profit made by an investment since the first day of the current year to the present day. Investors and analysts use YTD returns information to assess the performance of investments.
Additionally, the tool allows you to set custom (up to 6) levels to trigger alerts.
This tool acts as Month-to-Month % Return but in Combo mode. Allows to compare the asset's monthly performances across the preferred years. It works everywhere but better in use on the daily timeframe.
This tool acts as Month-to-Month % Return but in Combo mode. Allows to compare the asset's monthly performances across the preferred years. It works everywhere but better in use on the daily timeframe.
An utility tool to see month-to-month performance of the asset and to eliminate the need in drawings. It works everywhere but better in use on the daily timeframe.
Hey there!
This tool helps to identify the best positive and negative correlated pairs from 38 crypto */USD pairs.
By default it will find the best correlations for your current ticker.
If you are a newbie in Correlation Analysis you can find a brief explanation here .
Settings
Lookback for correlations (default: 14 )
Option to use or not to use...
![BTCUSD: [BCT] Can BTC be predicted or is it purely random?Variance Ratio](https://s3.tradingview.com/j/jvcnhSsN_mid.png "[BCT] Can BTC be predicted or is it purely random?Variance Ratio")
