Stock Market Dev Blog

• Selecting a stock to trade
• ROR - rate of return
• Volatility
• ETF
• Common Stock
• ETNs

• Random search augmented with down sampling (ENAS,RSWS,GAEA)
• Random Directed Search Entropy

• How To Legally Establish a Hedge Fund In the United States
• Start your hedge fund today with less than $1 million…

• task list
• collect asset history info
• calculate TA
• calculate training set
• train model or cross train all assets?
• calculate gains
• calculate action daily

• simulate all assets and rank them based on return
• shuffle money to the to 10-20 performers

Guess I need to do an update on this. I started trading crypto currencies manually back in july of 2017. I manually traded up to $3,000 from $117. Based on that I spent the past year or so learning how to trade. The best approaches to trading and following the market. A couple of months ago, june 2018, I started building a machine learning trading algorithm. This algorithm uses technical analysis to calculate the trades. As of today, the algorithm has a performance of around 233% per year over the 5 year training data. But to improve performance I may want to add volatile index along with the long/short market.

• google search - derivative pricing model
• https://en.wikipedia.org/wiki/Black%E2%80%93Scholes_model

A possible direction for this app. Go through each stock and identify which of the stocks are increasing of the time period I have captured. Then through analysis identify which of the key factors indicate that it is going to increase over time. This also need stocks that stay flat over the period and also stocks that go down over the period.