I'm not a HODLer by any means. I know when to sell (or I think I know....) when an asset starts going against me too much.
Even if it's a "long-term" investment.
My mentor used to telling me this: "If a short-term trade becomes a long-term investment, then you're in for a hell of a ride".
I have no clue if Bitcoin / BTC will go back up or not - I don't even care because I'm an intraday trader.
What if BTC was actually a way to accumulate more fiat? Satoshi fooled us
I coded this Mayer Multiple according to the specifications below. By the way, I'm a big fan of Willy Woo. I've been monitoring all his work since I learned about crypto (10 minutes ago.... it's a joke come on)
To respect the Mayer's multiple model, I recommend to select the Logarithmic scaling as shown below
What Mayer's model says
Using the reference below, the model says we're in the oversold zone. But, we can be in that zone for months/years...
When a model says an asset could bounce in a 1000-7000 USD range... well... I don't know how I would be able to perform optimally with that insight. This is very subjective and not a recommendation.
Mayer's Multiple model reference
All the BEST
else, minor: lines 41-44 seem not relevant, sma_final* would be missing. Anyways, you always provide nice coding techniques. Thanks
- the 200D can be used for both uptrends and downtrends. Whether the price is located above or below and how trending is the MA.
Trending with a down angle means a downtrend
- didn't get the part about sma_final missing sorry
I only transformed into code an idea
I'm not using this to trade cryptocurrencies
Red zone (according to this model) means it's overvalued