Tag: altcoins

Offtopic: Quantitative Analysis of Altcoins, part I

On By CryptoAdvisorIn Other4 Comments

In this update we will compare major altcoins towards bitcoin with the quantitative systems I use in the annual forecast that I publish in the first post of each year. Concisely we will list the volatility and gain values of these alternative assets to bitcoin. I would remind you that it is always preferable to invest in assets with low volatility and consequently high returns, volatility always deteriorates the gain of an asset.
I used weekly data, the last 52 weeks where possible. Only Bitcoin Gold hasn’t enough data for a proper computation of its quantitative values.

ALTCOIN Gain (G) Volatility (RMS)
Ethereum 0.9865 0.176
Dash 0.9862 0.188
Monero 0.979 0.1509
Litecoin 0.977 0.1511
Ethereum Classic 0.9765 0.169
Next 0.961 0.182
Ripple 0.96 0.236
Zetacash 0.951 0.1631
Stellar Lumens 0.9313 0.29
Bitcoin Cash 0.93 0.207
Qtum 0.909 0.206
Iota 0.88 0.179
Eos 0.8421 0.322
Bitcoin Gold n/a n/a

This table explains why every time you ask me an advice about altcoins, I tell you that it is better to ignore them because NO ALTCOIN shows positive gains above the unit due to the fact that they are dominated by volatility that highly reduce the final gain of the asset.
Said this, the less bad altcoins are Dash and Ethereum followed by Monero and Litecoin with a preference to these last two because of lower volatility compared to Ethereum and Dash.

A special mention to Bitcoin Cash that, considering its high market cap, both Gain and Volatility are bad.

To conclude, the big mistake is to compare altcoins to USD, in my opinion it’s wise to compare them against Bitcoin; against fiat currencies is easy to perform well.

Technical Appendix

The procedure to compute volatility and gain is always the same explained in the past:

  1. Compute log of Today bar divided by yesterday bar
  2. Average values (avg) of last 52 periods (n) (1 year using weekly data)
  3. Compute Volatility (rms)
  4. Compute price momentum probability with the formula P = (((avg / rms) – (1 / sqrt (n))) + 1) / 2
  5. Compute Gain using the formula G = ((1+rms)^P*((1-rms)^(1-P))

ITA Version here

Offtopic: Bubble Mode ON

On By CryptoAdvisorIn Uncategorized1 Comment
ethusd
ETHUSD daily chart

After many requests for a possible target i tried to find a solution with a very long term price interpolation channel of this popular altcoin. I did my best to find a decent volatility factor to compute the deviation lines, the attached chart is my best fit.

I think that the next stop is around 35$ (two standard deviation), i’d be very surprised to see this altcoin above it but anything is possible at poloniex, the realm of newbies and whales:)

Aniway the very first resistance has already been broken; I, therefore, think there are chance to reach 35$ at bubble peak.

About Dash, the six sigma deviation line is around 82$, hardly this altcoin will stay above it for a prolonged period of time, eventually a quick spike to 95$-100$ before capitulation. The term “six sigma” comes from the industry and it means that if one product has six standard deviations between the process mean and the nearest specification limit, practically no items produced will fail to meet specifications; at the same time here we are almost certain that at least in the short term the price will remain below it.