An object which has a constant force applied will have it's distance increase quadratically with respect to time.
Energy is force times distance. Intuition: the energy it takes to lift an object up is proportional to the height you lift it to.
So if you apply a constant force, you get a constant acceleration which leads to a quadratically increasing distance.
If you accept that energy is force times distance, the energy required to move the object in this scenario increases quadratically.
This means that if you apply a force F for 1 second, the amount of energy that is imparted by that force depends on how fast the object is already going. The energy required to apply a force to an already fast moving object is much higher. Intuition: you have to expend all the energy required to get up to the moving object's speed before you can start applying a force. So there's a cost to even get in the game
I used a package called data-ui for the distributions and histograms, would recommend.
The NLP I use is all custom and does a kind of hierarchical pattern matching. It identifies low level meaing and uses that as building blocks for higher level.
And yes it has been my observation that the market often reverses for the most popular plays
Thank you so much! This was actually my first time working with react, or really any front end design in general. Spent a lot of time on it.
The candlesticks do actually track the price data just like most stock charts. The purple line does however track the rolling sentiment, and the 'volume' bars represent the volume of bullish / bearish trades actually mentioned
Thing that gets me when I look at the mandelbrot is that I get the sense that I'm still looking at the shadow of something much more perfect. Like there is some other undiscovered representation that we just haven't found yet
I built marketstream to read all the comments that people make about the trades that they are making. And I mean really read, to understand what position they are in.
Apply this to the hundreds of thousands of comments that come through reddit on a weekly basis, and you end up with a pretty high level view of how investors look at some of the most talked about companies.
Belief leads investment, not the other way around, Tesla being one of the best examples I can think of. I built marketstream to find those companies that investors love because I believe that companies that people love will grow.
My guess is that the shortening of telomeres—and the presumed aging effects—is evolutionarily beneficial because it sets an expiration date on your life. If people could live forever they may prohibit other younger and genetically different people from reproducing and introducing variety in the gene pool.
Certainly having wealthier people live forever now would be bad from a social perspective. Time is really the biggest factor in acquiring wealth and influence. If that goes unchecked then that power can become out of control. Realistically I dont think it was that different thousands of years ago.
In 2020 people are talking on the internet more than ever, and the chatter around investing is no exception. Internet trading forums like /r/wallstreetbets receive hundreds of thousands of comments every week and while many of these comments revolve around popular memes and figures, other comments offer new perspectives on how to value companies that experience explosive growth or scandal.
While some people may consider these internet sources as amateurish, otherwise "traditional" investors are beginning to appreciate the unique perspectives offered by these internet communities, as noted in Bloomberg:
https://www.bloomberg.com/news/articles/2020-02-26/reddit-s-...
It has become clear that people are paying attention to the conversation; however, without applying some structure to the comments it can feel like a tornado of emotion, and the overall sentiment is unclear. I realized there needed to be a better way to keep track of the changes in coversation, and that's why I decided to build marketstream.io.
Marketstream.io applies NLP to social media streams to categorize the all of the many ways people talk about the stocks that they are trading right now--whether people are talking about buying stock, or making bets with option plays. On top of the NLP platform is a responsive user interface that allows you to spot the trends that are happening in different areas of the market, and watch as trends change in real-time in reaction to today's turbulent news cycle.
Marketstream.io was released in early November of 2020 and is still in alpha, but I am already enjoying the bird's eye view it offers. I am now focused on getting feeback from users and adding more features that can help people make better decisions about how they'd like to trade.
An object which has a constant force applied will have it's distance increase quadratically with respect to time.
Energy is force times distance. Intuition: the energy it takes to lift an object up is proportional to the height you lift it to.
So if you apply a constant force, you get a constant acceleration which leads to a quadratically increasing distance.
If you accept that energy is force times distance, the energy required to move the object in this scenario increases quadratically.
This means that if you apply a force F for 1 second, the amount of energy that is imparted by that force depends on how fast the object is already going. The energy required to apply a force to an already fast moving object is much higher. Intuition: you have to expend all the energy required to get up to the moving object's speed before you can start applying a force. So there's a cost to even get in the game