LOGARITHMIC
TSLA swing trades: weekly RSI symmetrical triangle Check out the symmetrical triangle that has been formed on the weekly timeframe. My opinion there is good potential for swing trading as rsi comes into contact with support/resistance, and then playing for a possible break out either up or down when the support or resistance on the RSI symmetrical triangle is broken
Currency-crypto over (5 years, 1 year, 1 month, 5 days)I'm a crypto newbie, so the pricing relationship comparisons across time are very curious to me. Similarity of currency patterns over time on a linear scale, and crypto patterns on a logarithmic scale sort of make sense to me. But the similarity is more than I would have expected. How long can crypto maintain the logarithmic growth? Will the (linear, logarithmic) pattern similarities sustain for years, or "invert" or change somehow soon? Will the logarithmic growth rates decline to the pace of financial asset price inflation (eg debt growth, Modern Monetary Theory Treasury-Fed injections)? I don't want to be a crypto-trader, I just want to send $$ to my grandchildren, and to have fun and frustration doing it.
CUP AND HANDLE ? HELP IS APPRECIATEDANKRUSDT
am i seeing this correct ? a cup and handle and if so did i put right ? the amount of pips/ticks shown as prediction.
if this pattern is right then big chance it goes up. if it is right and the pattern fails be sure to set a stop-loss.
put as i see it.. its time to get on the train/space shuttle/bus/rocket and hope there is a lot of fuel to make a new record.
did you read all this ? hit that button below or comment your thoughts.
The Ace Spectrum as a Template for Support ProjectionDemonstrating the big idea: That straight lines in log-space form exponential curves.
This property of the log chart is useful for examining assets with exponential growth (like high-growth stocks, cryptos, etc).
Because the log scale asymptotically approaches the absolute scale as y slice decreases, this indicator is really applicable to any time scale.
This indicator samples a distribution of lines from the past and projects them into the future, these projected lines form indicators of prior support.
The idea is longer support at those specific lines is indicative of support strength, which this indicator approximately captures.
My initial goal was to capture this intuition about exponential growth in log spaces by applying a monte-carlo style sampling approach to visualize the latent support lines.
After I had captured that in a slightly more complex version of this indicator, my goal was to distill the concept into the simplest possible implementation.
Fibonacci Bitcoin Correction to $ 13.800 or back to $ 10.000?I'm Just sharing what scenarios I think we gonna see in the next couple to 6 months.
Attention, the drawings are not in the time scale.
After this correction, if Bitcoin rises in a logarithmic scale, we gonna be very very happy.
Good luck and good trades for all of us!
Bitcoin Fair Value and Peak Logarithmic Regression BandsWhile BTC has dipped back down recently, we are still very much on track. In fact, we are still fairly far ahead with regards to our "fair value" logarithmic regression support band, fit to "non-bubble" data.
This market cycle will likely be a long one, so buckle up for the journey, and maybe one day BTC will flirt with the upper "peak" logarithmic regression band. No one can reliably predict what the short-term will bring, but I am certainly bullish on BTC on the macro-scale.
BTC Logarithmic CurveTHEORY
- I never understood why most students needed to learn what a Log was until I've studied a BTC chart.
- A Log curve in simple term goes 0 to .99999999
- It never touches 1. It is infinite. Meaning it goes forever always getting closer to 1.
- My assumption is that BTC will become stable one day. It may take many more halving's for that to happen.
- With that being said, that's why BTC is an excellent investment opportunity in the year 2020. (Of course with a proper bottom entry)
- Each halving comes a significant reduction of (RIO) Return On Investment.
CHART
- After many hours of studying this chart. I observed a pattern. BTC usually switches trends yearly on the macro level.
- I base that theory on this chart. If historical evidence does in fact repeat then my theory analysis will be true.
- I like to think of this chart of like playing darts w/ a blindfold on. It is a million dollar question.
OPPOSING VIEW
- Many say BTC is in a Wyckoff pattern. " Fill the gap"
I tend to believe that Bitcoin will revolutionize the world the same way the internet has been able to. I will remain optimistic because I believe in the technology.
Like & drop a comment on what you think will happen.
AMZN: Arithmetic and Logarithmic Charts ExplainedIn this post, I'll be shedding light on the difference between arithmetic and logarithmic scale charts, and how to best use both charts to your advantage.
Arithmetic Chart
- The chart on the left is a chart that uses the arithmetic scale
- This is the chart most common to us all, and one that's easiest for traders and investors to comprehend
- An arithmetic chart represents price on the y axis, using equidistant spacing between the prices
- This is demonstrated on the arithmetic scale above; the distance between 1 and 2, is the same as the distance between 8 and 9
- Arithmetic charts demonstrate absolute value
Logarithmic Chart
- The log chart on the right side has a different approach to interpreting price movement
- The y axis uses equidistant spacing between designated prices
- This is demonstrated on the logarithmic scale above; the distance between 1 and 2, is the same as the distance between 2 to 4, 4 to 8, and so on.
- The logarithmic chart demonstrates the percentage change in the underlying asset's price
Case Study: Amazon (AMZN)
- We can take a look at Amazon's arithmetic and logarithmic charts, dividing them by significant phases to better understand the differences
- We can first see that the area marked by 'extreme volatility' on the log chart, is much more drastically demonstrated than that of the arithmetic chart
- This is because price fluctuations in terms of percentages were drastic at the time, due to the Dot-com Bubble.
- For more information on the Dot-com bubble and today's stock bubble, you can check out my other analysis below:
- However, because in terms of the absolute value changes during the Dot-com bubble are minuscule compared to the price fluctuations today, the phase of extreme volatility is barely noticeable in the arithmetic chart
- In the period of a 'steady uptrend', we can see a clear and steady uptrend in the logarithmic chart, indicating that the stock moved up at a consistent pace, percentage-wise
- The arithmetic chart, while not drastic in the uptrend's degree, demonstrates parabolic momentum building up
- We then have the 'exponential growth' phase. Here, we see a move from $400 to $3,400 on the arithmetic scale.
- However, the logarithmic chart merely demonstrates a steady uptrend without much volatility.
- This is because while the absolute value of the stock has risen significantly over time, the percentage change in the rise was consistent.
Conclusion
While the arithmetic chart is more familiar for the average trader/investor, logarithmic charts help us clearly view long term data, especially when price points show immense volatility during the short term. As such, log charts can be effectively used in for technical analysis of cryptocurrencies, as well as volatile tech stocks with long price history. The understanding of the log chart is an effective tool, but it must be used with caution, since most people intuitively interpret a chart as an arithmetic one.
If you like this analysis, please make sure to like the post, and follow for more quality content!
I would also appreciate it if you could leave a comment below with some original insight.
Ethereum Logarithmic Regression I have fit the weekly logarithmic regression and used 20/50/100/200 MA indicator for ETH. For a bullish trend, I expect to see a double cross on the MAs, with the 50 and 100 both crossing the 200, followed by steady separation of ordered MAs (green yellow orange red) from top to bottom.
Updated BTC Cycle Targets and DatesIn this chart I have used logarithmic regression to identify cycle tops and bottoms in BTC. Using the hypothesis of lengthening cycles, I have 3 price targets for a cycle top in mid-to-late 2022. With the current weighting of my regression, it shows that BTC is undervalued right now, with the fair value shown using a blue line.
BTC Moves on This Path....?Playing around with the log chart, just trying to get some concept of where the price extremes are and where important lines (like ATH) converge. The last market cycle had bitcoin making its ATH seven weeks before the previous ATH converged with the bottom trend line. If the same thing were to happen this cycle, and the high comes in exactly on the top trend line, then we'd see a high of around $200K on the 13th of November, 2023.
That's still a ways off, but I think I can live with that kind of return in just over three years :)