22/02/2021
Back in the old school days of the 1920-30s📜, there was this mad genius and professional accountant named Ralph Nelson Elliott
By analyzing closely 75 years worth of stock data, Elliott discovered that stock markets, thought to behave in a somewhat chaotic manner, actually didn’t.
👉Elliott explained that the upward⏫ and downward⏬ swings in price caused by the collective psychology always showed up in the same repetitive patterns.
He called these upward and downward swings “waves”🌊
He believes that, if you can correctly identify the repeating patterns in prices, you can predict where price will go (or not go) next.
This is what makes Elliott waves so appealing to traders😎.
It gives them a way to identify precise points where price is most likely to reverse.
In other words, Elliott came up with a system that enables traders to catch tops and bottoms.
👉But before we delve into the Elliott waves, you need to first understand what fractals are.
Basically, fractals are structures that can be split into parts, each of which is a very similar copy of the whole. Mathematicians like to call this property “self-similarity”.
👉One important quality of Elliott waves is that they are fractals. Much like sea shells 🐚and snow flakes❄, Elliott waves could be further subdivided into smaller Elliot waves.