PhiOne Machine Learning Classic

Trading idea: This wikifolio is layed out as machine learning and big data driven and consists of stocks from various markets globally. The investment horizon is long term [and therefore made for long term investors]. Asset Classes: This wikifolio only trades stocks. These may include stocks listed in various relevant financial markets internationally, primarily in North America and Europe. All stocks traded are planned to have at least 250 million USD market capitalization as well as non-zero revenues to be included in the wikifolio to ensure liquidity and quality of available information. Diversification mitigates the risk of equity. For reasons of managing single positions default risk, no leveraged products are part of this wikifolio. Decision making: Based on methods from fundamental analysis (quarterly reports, peer group comparison), technical analysis (price movement, time series analysis), the system makes predictions on stock returns using machine learning. In essence, this portfolio's decision making is computer system based, developed in research contucted as part of my PhD and privately. Wikifolio won't let me do this, so you get shady traders instead of objective desicion making. One third of the wikifolio is set to be adjusted roughly once a month. That means, stocks with the worst score by the machine learning system are liquidated, and for them a new third of stocks is planned to be picked by the algorithm and verified by the trader (missing red flags, such as reports rejected by auditor). The stock picks are done by an system based software learning on millions of datapoints with thousands of variables based on both fundamental data, stock market data, data on firms activities, news articles, and others of the companies. Benchmarking: Ideal indices for comparison are Nasdaq Composite and S&P500 total return indices.