Advantages of Using Logarithmic Scale and when to use itThe financial markets are constantly evolving, and as such, traders and analysts need to stay ahead of the curve. One tool that has proven to be invaluable in financial analysis is the logarithmic scale. In this detailed guide, we will explore the logarithmic scale in financial analysis and its various applications in technical indicators.
1. The Logarithmic Scale: Definition and Purpose
The logarithmic scale represents data on a chart by plotting the value's logarithm, rather than the value itself. This representation can better visualize exponential growth or decay and provide a more accurate depiction of price trends in markets that experience large price changes.
2. Advantages of Using Logarithmic Scale
a. Better visualization of percentage changes: The logarithmic scale provides a better visualization of percentage changes in assets. This is because the scale compresses the larger movements and stretches the smaller ones. As such, traders can better analyze the percentage movements in an asset and make informed decisions.
b. Equal treatment of percentage movements: The logarithmic scale treats percentage movements equally, regardless of the asset's price. This is important because it allows traders to compare assets with different price ranges, which would not be possible using a linear scale.
c. More accurate representation of long-term trends: The logarithmic scale provides a more accurate representation of long-term trends in assets. This is because it takes into account the compounding effect of percentage changes over time, which is not possible with a linear scale.
3. When to Use Logarithmic Scale
a. Analyzing stocks with significant price movements: Stocks that experience significant price movements are better analyzed using a logarithmic scale. This is because the scale provides a more accurate depiction of percentage changes in the stock's price.
b. Evaluating historical data over extended periods: Historical data that spans an extended period is better analyzed using a logarithmic scale. This is because the scale provides a more accurate representation of the compounding effect of percentage changes over time.
c. Comparing assets with different price ranges: Assets with different price ranges are better compared using a logarithmic scale. This is because the scale treats percentage movements equally, regardless of the asset's price.
4. Logarithmic Scale in Technical Indicators
Incorporating logarithmic scale in technical indicators can help improve their accuracy and usability. One such example is the "Logarithmic Trend Channel" indicator, which has been adapted to work effectively on logarithmic charts.
5. How the Logarithmic Trend Channel Indicator Works
The Logarithmic Trend Channel indicator is a modified version of the built-in "linear regression" script from Tradingview. The code plots the linear regression on a logarithmic chart, providing a more accurate representation of the trend when price movements are substantial. The indicator also provides options for different deviation levels, which can be adjusted according to the user's preference.
6. Applications:
a. Identifying trends in assets with exponential growth or decay: The Logarithmic Trend Channel indicator can be used to identify trends in assets with exponential growth or decay. This is because the indicator provides a more accurate representation of the trend when price movements are substantial.
b. Analyzing long-term price movements: The Logarithmic Trend Channel indicator can be used to analyze long-term price movements in assets. This is because the indicator takes into account the compounding effect of percentage changes over time, which is not possible with a linear scale.
c. Setting support and resistance levels based on percentage changes: The Logarithmic Trend Channel indicator can be used to set support and resistance levels based on percentage changes. This is because the indicator provides a more accurate representation of percentage movements in the asset's price.
Conclusion:
The logarithmic scale is a powerful tool in financial analysis, providing a more accurate representation of price trends and movements, especially for assets with significant price changes. By incorporating the log scale into technical indicators, such as the Logarithmic Trend Channel, traders can better analyze market trends and make informed decisions.
Scale
Understand Commodity Price Speculation using a logarithmic scaleThere are two main reasons to use logarithmic scales in charts and graphs.
The first is to respond to skewness towards large values, cases in which one or a few points are much larger than the bulk of the data.
The second is to show percent change or multiplicative factors.
I was today years old..Did you know when you have one or many indicators on your charts and whilst trying to zoom in or out the chart using the mouse the indicators take up half or even more of screen realestate especially in case of pivot lines indicator??
Well there is a solution to all this madness so that you can zoom in and out of price chart only and IGNORE all indicators on your screen's realestate.
Here's how to do it:
0. Keep all your indicators ON on the chart
1. Right-click on the price scale
2. Select "Scale Price Chart only"
3. You'll thank me later ;)
Cheer's 🍻
Crypto NotesHi traders!
I did not plan to make this post but as Crypto markets are currently falling I will share some of my Crypto
notes that have helped me to navigate in Cryptoverse.
Side note: This is not the only way how to trade Crypto markets. Sharing just some information. Eventually every trader have it's own methods and beliefs.
Being early is a great advantage in Crypto
If you want to discover good projects early that have high potential then some work is needed to put into research. Nowadays there are so many projects (not only BTC & ETH)
and it may feel sometimes overwhelming. Good way is to focus on some specific sectors - this will help to set some boundaries. Of course these sectors (or new trends)
can change as we are dealing with fastly moving technology. If you find something and are able to get in early then it means an entry with low price.
When project is successful you will make X multiple gains (you can replace X with any number you like). But research is only
one part of the work - trade management is also needed. Of course being early has its own risks - at the beginning there is a lot of uncertainty and not all projects are
going to succeed. Trader will have greater earnings potential but also greater risk of failure (compared with mature projects). Everything is in balance.
I personally feel quite comfortable being early - that's why I also like to invest into startups. I value high earnings potential more than risk of being wrong.
Being early gives me some sort of price protection or margin of safety ( check concept 'Margin of Safety' from book "Intelligent Investor - Benjamin Graham" ). This will allow
me to deal with volatile price swings more easily.
I guess it's just like my personal trait. If you don't feel that way then it is perfectly fine. As I said earlier, you can be successful with different strategies.
Just find out what style suits you best.
Scale In & Scale Out
As I have longer view with my Crypto holdings I like to scale in with my buying. For me good entry points are after selloffs - as long as I have a belief that
general market structure has not changed.
I have my core positions that I will plan to hold for years but I also have other positions that I am willing to sell. I try to scale out from those positions
when market is rising to lock in some profit. Doing that will allow me to put some money aside and have gunpowder to buy more after
selloffs or fund new early stage projects.
This takes some practicing because sometimes market rises so nicely that trader feels like there is no point to sell until whole market is down ...
It is hard to predict those events and that's why I prefer to scale out. I try to play the long-term game and I don't have to do all my buying or selling
with one trade.
Liquidity Planning
Basically I will ride all the ups and downs (hold strategy) with my core positions but scale out (trading) from other positions. Then I have always some reserve
to add more during selloffs or to fund new projects. I try to plan ahead how much reserve money I need and make myself available to as many opportunities as possible.
For long time I underestimated Liquidity Planning's importance and that has caused me to sell many positions too early (or when conditions were not most favorable) - simply
because I did not led my cash flows.
I thought that I just 'flow' and find money when opportunities lie in front of me.
Final thoughts about Crypto markets - as Crypto is going more mainstream every year and probably there are some new market participants who have never experienced
this kind of selloff then just relax - this is not the first and not the last market selloff. Remember - usually when fear is greatest there are also some good
opportunities. People tend to forget that and only focus on risks.
If some mistakes were made during previous leg up then now is good time to learn and plan ahead. That's how we evolve as traders and humans :)
Thank you and enjoy your trading :)
Is the logarithmic scale of the Tradingview really logarithmic?I've been looking for the correct equation for a straight line on Semi-logarithmic scale for some time. The base equation is as follows:
log y = mx + log k
m = slope of line = (log y1 - log y0) / (x1 - x0)
k = y-intercept: value of y where line crosses the x = 0 axis
While this equation is absolutely correct, the result of plotting it on logarithmic scale was a curve.
Then I realized that apparently in the price < 0.001 range, the logarithmic chart of Tradingview is not working logarithmically!
I am so confused.
Does anyone know the cause?
What is the equation corresponding to the chart scale?
Please help if you can.