{"product_id":"stcov245fufo","title":"Stocks \u0026 Commodities V. 24:1 (54): Futures For You by Dan O'Neil","description":"Stocks \u0026amp; Commodities V. 24:1 (54): Futures For You by Dan ONeil\u003cbr\u003e\u003cbr\u003eINSIDE THE FUTURES WORLD\u003cbr\u003e\u003cbr\u003eWant to learn how the futures markets really work? Dan ONeil, a principal at online futures and forex broker XPRESSTRADE (www.xpresstrade.com), responds to\nyour questions about todays futures markets. To submit a question, post your question to our website at http:\/\/Message-Boards.Traders.com. Answers will be\nposted there, and selected questions will appear in a future issue of S\u0026amp;C.\u003cbr\u003e\u003cbr\u003eJeffrey Owen Katz is a professional trader and consultant specializing in predictive modeling and forecasting. He is president and founder of Scientific Consultant Services, a company focused on the development of sophisticated artificial intelligence\n(neural networks and genetic algorithms) software, primarily for application in the financial markets. He was first to develop a commercial neural network\nforecasting package for the Standard \u0026amp; Poors 500 (NexTurn, released in 1989). He introduced the first 32-bit neural network development tool (N-Train). He was the first to make artificial intelligence technology accessible to TradeStation users through such products as TradeNet and TS-Evolve. He was also the first to publish a paper on genetically evolving rule-based trading systems. He has published a\nnumber of articles in a diverse selection of professional journals, trade publications, anthologies, and also coauthored (with Donna L. McCormick) several books.\nSTOCKS \u0026amp; COMMODITIES Editor Jayanthi Gopalakrishnan interviewed Katz via telephone on November 10, 2005.\u003cbr\u003e\u003cbr\u003eQ: How did you get interested in the financial markets?\u003cbr\u003e\u003cbr\u003eA: Back in the 1970s, I used to dabble in stocks, and at that time, William ONeil was publishing Daily Charts. I would go over those charts and visually backtest different kinds of systems. I found one pattern where there would be a very low-volume, low-liquidity stock usually an oil stock and youd see a spike in volume and prices would start going up slightly instead of just staying flat. That would be a good breakout-type signal\nfor buying. In those days, breakout systems worked well. I was hooked! I was only sporadically involved in\nthe markets until about 1986, when the personal computer came along and I got more involved. CompuServe got started about then, and using it you could download actual data, so I started putting together databases and trying to implement in Fortran the same kind of system I used with Daily Charts. By then, though, the breakout system had stopped working as well in stocks. Stock prices moved too suddenly; by the time there was a breakout, it was already too late to\nget into a profitable trade.\u003cbr\u003e\u003cbr\u003eQ: What was the difference?\u003cbr\u003e\u003cbr\u003eA: In the early days, before the advent of low-cost, high-speed computers, breakouts would occur and people would see them and jump in, but slowly. Or the\nrumor mill and tip sheets would pick up on a stock, triggering a slow inflow in the following weeks. Markets were slower and less efficient in those days, which gave you time to jump on a trend. By the time I started playing with the markets using computers in 1986, things had sped up, with information being disseminated faster than ever. When a stock moved, it moved fast, with no tradable follow-through.","brand":"store-traders-com","offers":[{"title":"Default Title","offer_id":52134152765809,"sku":"\\V24\\C01\\010NEIL.pdf","price":2.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0900\/3843\/6209\/files\/unnamed_ac36bfbb-1230-4056-a0b5-ba730739e710.jpg?v=1739669039","url":"https:\/\/shop.traders.com\/products\/stcov245fufo","provider":"Stocks \u0026 Commodities","version":"1.0","type":"link"}