Every year i post an outlook using entropic methods explained in the technical section of this blog. Here you can find the 2015, 2016,2017 and 2018 forecast update, where you can find more information about this approach.
Updated values for bitcoin (in brackets values of last year) using daily data since August 2010 (average data of 4 main exchanges when possible).
Growth Factor G
Shannon Probability P
Root mean square RMS (see this as volatility)
0.058 (0.059 )
Bitcoin’s entropic values versus the Usd deteriorated in 2018 although volatility has fallen a little bit, the Growth Factor (G) decreased down to 1.00088% compounded daily or 138% yearly down from 280% of 1y ago. Also the optimal fraction of your total wealth to invest in bitcoin dropped a bit in 2018 with a 4.4% instead of 7.7% of 1y ago (0.522*2=1.044 – 1 = 0.044 or 4.4% roundable to 5%)
Generally these values are still much better then conventional markets except the Shannon Probability that now match the US Stock Markets (around 0.522); it means that out of 100 days an asset goes up 52 days and down for 48 days, on average.
2019 Price forecast
Full Historical Volatility
Half Historical Volatility
Forecast using only G*
Upper bound adding volatility
Lower bound subtracting volatility
*5269 is obtained with 1st January as a starting price (around 3820$) times (1.00088^365)=~1.37 | 3823*1.37=~5269, just change 365 with the number of days you prefer for a different forecast.
Using different approaches the support area for 2019 is around 1700$-3200$ while the resistance price area is above 9000$.
What went wrong in 2018?
A year ago, I forecasted a maximum top of $121000 never reached during the year. I halved the volatility factor (rms) to find a more realistic price level and i obtained 68000$, a value missed again by BTC/USD.
This market has been very weak all the year but the definitive sign of weakness has been the breaking of the support around six thousand dollars followed by an important minimum at about 3100$, a price level that I showed you a few months ago.
In that tweet i identified an additional support area from 2100$ to 3200$ that so far has not yet been visited.
If possible I recommend to buy inside this price area otherwise another trading opportunity will be to buy on strength when BTCUSD will break above the monthly 5 periods Kama average (i’ll tell you when with a tweet), this average is now around 6200$ but next month will probably drop to 5700$ .
For this year i think that i’ll consider the support/resistance levels obtained with a full volatility value with the result to have for the whole 2019 a good probability to stay inside the 1700$-16000$ price zone.
At the same time i think that at the end of a strong buying climax period, if any, it will be wise to reduce your bitcoin investment if the price goes above 30k USD (price calculated using the equivalent of 1.5 times the historical volatility of bitcoin while the initial 16k usd target is calculated using the historical volatility)
I’m at your disposal for any questions; see you at the next update and Happy New Year!
After several months since the last update there are no particular news, at the time I wrote that “…..My opinion is that the bitcoin will continue to remain for most of the year within the levels calculated with the KAMA (yellow) and therefore remains a good opportunity to buy the price area from 4000 to 5500 dollars…..” and my opinion has not changed since then.
I have read everywhere that the descending triangle pattern will soon tell where bitcoin will go, whether to break upwards or downwards. I can’t say which way the price will take but usually when too many investors/traders expect one thing the market has the habit of doing the exact opposite.
The bitcoin usd cross might test the 4k level for a short period of time followed by a strong upmove; a last shakeout move tends to shake out the weak hands before the next big move, many investors will be very scared in seeing the bitcoin go down to 4k usd, I do not and possibly I could decide to buy again in that price range (4000$-5200$).
To conclude it’s very important to see if the level of 5200$ will be tested and broken before year’s end, if so an interesting buying opportunity might arise. If not, then another buying opportunity might be to enter the market if bitcoin moves above the Kama monthly average now at 8650$.
On 18 January 2018, I wrote that the bottom was probably done but I hinted that at the break of the same I would have closed my long term position, unfortunately there was a subsequent very strong selling activity after a weak reaction from the support of the weekly chart (at about 9500$). In these cases it is useful to scale the time frame to the next one (from weekly to monthly), so i applied the KAMA average and its deviation lines to the monthly graph instead of applying them to the weekly graph.
The resulting graph is this at the moment and the market has reacted strongly from this support area.
You can see that the first deviation line has hold the price from further lows at the end of the 2014-2015 bearish market, the same negative deviation line reported to date is at about $ 5300 and the market, for now, has done a bottom at $ 5900. I’ts difficult for me to say if the bearish market started in December 2017 is over, I remain convinced that we will hardly see stable prices under $3900 and that the support area from $3900 to $5300 will be very strong for this year.
If during ther year the trend of the Kama average becomes bearish from flat we will have a confirmation that a down trend, even on the monthly chart, has been established and this would undermine a little the validity of the support area indicated in the chart.
For now I think that the market is still stronger than the 2014-2015 period and that any medium-term correction should be above the indicated support area.
In part I and II I did a quantitative analysis on altcoins and possible strategies on how to capitalize on their weakness compared to bitcoin.
In Part III we will see how to allocate a portfolio starting with Fiat currencies.
In the table below you will find cryptos with relative gains (G) and volatility (RMS) against the dollar using all the historical data available, as data source was mainly used poloniex and bittrex exchanges, for bitcoin has been used Bitstamp.
In red the cryptocurrencies with negative Gain against the USD.
It’s pretty obvious that i’ll not consider any crypto with negative Gain and Bitcoin is clearly the winner with the best Gain and low volatility compared to the rest. I exclude also all the crypto with positive Gain but with high volatility because the main objective is to allocate a portfolio with the lowest possible volatility.
The remaining crypto are:
Ideally it should be allocated the same amount of money on each asset but to compute the fraction of your capital to put on each asset i use the same formula seen in Part I & II.
F = 2P - 1
Where F is the optimal fraction of your capital to wage in a single trade and P the persistence or Shannon Probability, concepts already explained in Part I & II.
Fraction of your capital to wage (F)
Thanks to the formula F=2P-1 I know how much to wage on each crypto for a total of around 40% of your capital to invest in crypto. The remaining 60% could be invested in traditional stuff of your choice (equities, bonds, real estate). But let see in detail a simple portfolio management strategy.
Simple Portfolio Management Strategy
Maintain about ten, or more, equities in the portfolio.
Maintain about equal asset allocation between the ten equities.
Consider the investment horizon from one to four calendar years.
Be skeptical of investing in assets with less than a two and a half year history with a minimum of four and a half years.
Four simple policies listed in order of importance, and the second policy is the one that makes the money or the “engine” of the strategy. A short investment horizon is mandatory because “risk management” is an important part of financial engineerin g and given enough time, no matter how small the risk, it will bite.
At the moment there aren’t ten cryptocurrencies that satisfy my needs in terms of Gain (G) and Volatility (RMS) so I have to find a compromise, using only five crypto and, personally, i prefer to don’t maintain an equally asset allocation among all cryptos because there is a huge difference in terms of size between Bitcoin and the others. Another issue is that many altcoins have less then 2 years of history because this new sector is relatively new so it is difficult to respect rule number 4.
Another important concept is how frequent to balance the portfolio. Doing it every day is really not necessary for the casual long term investor. An interesting choice is to rebalance asset allocation if there is an asset that exceed all the others by 5-10%. Basically when one asset increased in value more than the others, money should be removed from the investment, and re-invested in all the others thus defending the gains through investment diversification.
Aggressive Asset Allocation with ~40% in crypto (click to enlarge)
The suggested asset allocation is intended as very aggressive having almost 40% allocated in cryptocurrencies, I would advise not to follow this if you are over 65 or if you have a family with kids. In this case I would suggest a maximum of 10% invested in cryptocurrencies (e.g. 6% Bitcoin, 4% Ethereum or 6% Bitcoin, 2% Dash, 2% Monero).
In the case of a very conservative asset allocation, for who has a very low risk tolerance, I would not go beyond 5% allocated in cryptocurrencies.
Personally i’ve a very high aggressive asset allocation but I’ve all the time and experience to follow carefully my Portfolio and to act accordingly to new information on a daily basis.
In the future i might publish other updates about the subject with updated quantitative data on altcoins/bitcoin.