An analysis of speculative trading in grain futures /

Reprint of An analysis of speculative trading in grain futures, Technical bulletin no. 1001, issued Oct. 1949.

Securities registered exempt from registration or admitted to unlisted trading privileges under the Securities exchange act, as of June 30, 1936.

Cover title.

Prohibiting trading on margins on the New York stock exchange: hearings before a Subcommittee of the Committee on the Judiciary, United States Senate, Seventy-first Congress, third session, on S. 5381, a bill prohibiting trading on margins on the New York Stock Exchange, and for other purposes, February 6 and 24, 1931.

George W. Norris, chairman.

Richard Degener, UM Swimming and Diving, trading card from 1936 Olympics

[Trading Card published by Aufn Press Internionale Hoffman, Series 24 Bild 6]

Ralph Rose, UM Track, trading card from 1908 Olympic games

[Trading Card published by National Licorice Company]

Henry Jamison "Jam" Handy, UM Swimming, trading card from 1904 Olympic games

[Trading Card published by Mecca Cigarette Company]

The beachcombers; or, Slave-trading under the Union Jack,

Mode of access: Internet.

Evolution of futures trading.

Bibliography: p. 90-95.

Report to the Commission by the Trading & Exchange Division on floor trading, January 15, 1945.

Report prepared by Raymond Vernon.

Carbon credit trading in Brazil: an overview of a new business sector

This article discusses the Carbon Credit Trading Market in Brazil and opportunities for technological development and innovation related. The international trade in carbon credits becomes a source of opportunities for developing countries because of the Clean Development Mechanism. Committed to reduce polluting levels from 2008 to 2012, and ahead, industrialized countries started to seek ecological solutions internally or compensatory actions such as buying carbon credits from low-emission countries. This strategy brought up a brand-new industrial sector that still requires productive structures and a solid international commercialization system. This is a qualitative study, based on documentary research, referring to the Brazilian territory. The data obtained point out a set of efforts such as researching and developing products and processes environment friendly. Other findings indicate opportunities to expand Green Economy Sector through supporting a set of newborn firms such as waste management and recycling, in addition to other actions that reinforce sustainable development opportunities to the country and, at the end, to the world.

System for foreign exchange trading using genetic algorithms and reinforcement learning

Foreign exchange trading has emerged recently as a significant activity in many countries. As with most forms of trading, the activity is influenced by many random parameters so that the creation of a system that effectively emulates the trading process will be very helpful. A major issue for traders in the deregulated Foreign Exchange Market is when to sell and when to buy a particular currency in order to maximize profit. This paper presents novel trading strategies based on the machine learning methods of genetic algorithms and reinforcement learning.