Altair Nanotechnologies Inc. (together with its subsidiaries, “Altair”) is a public company whose common shares are traded on the NASDAQ Capital Market. To protect shareholders and prospective investors against fraud or other misuse of inside information in buying or selling securities, the U.S. federal securities laws restrict a person’s ability to buy or sell securities of public companies while in possession of material nonpublic information about the company. (more…)

We all know traders who spend every waking trading day staring at banks of monitors, own every trading book on the planet, preach to us about multifarious technical indicators until our eyes glaze over, and literally eat, breathe and sleep the financial markets. Still, when it comes right down to it, they may not make more money as other traders who-while taking the markets extremely seriously–execute (more…)

The Internet has had a significant impact on the financial markets. Several stock brokers provide API connectivity for executing trades using a trading software. This has led to a strong interest in developing an automated trading system using time-tested trading strategies. As more and more stock exchanges across the world are becoming accessible through the click of a button, the standalone trading system does (more…)

“Insider trading” refers generally to buying or selling a security, in breach of a fiduciary duty or other relationship of trust or confidence, while in possession of material, nonpublic information about the security. Insider trading violations may also include “tipping” such information, securities trading by the person “tipped” and securities trading by those who misappropriate such information. Examples of insider trading cases that have been brought by the Securities and Exchange Commission (more…)

This Operation Guide provides the instructions of how to use our Internet Stock Trading service. Please visit our web site at http://www.shacomsecurities.com. hk to access its various functions. 1. System Requirements • Pentium III or higher of IBM-Compatible PC • Main memory of 128MB RAM or more • Monitor of ‘SVGA’ or higher resolution • Modem of 56 kbps or faster • Windows 98/2000/NT/XP • Microsoft Internet (more…)

1. These Rules may be cited as the Interim Stock Trading Facility Rules, 1996. 2. (1) In these Rules, unless the context otherwise requires- “applicant company” means a company applying for a quotation as described in rule 65; “approved securities” means securities approved under the rules of the facility to be traded in on the facility; “authorised dealing officer” has the meaning assigned to it in rule 29; (more…)

There has been a great interest, both in the research literature and among common people, to establish if markets are efficient or not. While it for researchers may be an interesting academic question, the question among common people is of a more pragmatic kind; is it possible to get excess returns from the stock market without increasing the risk? 1.1 Purpose The purpose of this thesis (more…)

Formed in 1919, the American Peanut Shellers Association, Inc. is the senior organized group in the American peanut industry. It is a non-profit trade association composed of commercial peanut shelling and crushing firms with operations in Alabama, Florida, and Georgia with provisions in the By-Laws for like firms in other southeastern states considered as part of the southeastern peanut production (more…)

A model of competitive stock trading is developed in which investors are heterogeneous in their information and private investment opportunities and rationally trade for both informational and nonin- formational motives. I examine the link between the nature of heterogeneity among investors and the behavior of trading volume and its relation to price dynamics. It is found that volume is positively correlated (more…)

This paper outlinesadata mining approach to analysis and prediction of the trend of stock prices. The approach consists of three steps, namely partitioning, analysis and prediction. A modification of the commonly used k-means clustering algorithm is used to partition stock price time series data. After data partition, linear regression is used to analyse the trend within each cluster. The results of the linear (more…)