Becoming a day trader requires many distinct inputs. In addition to proper technology, capital and time, the development of a comprehensive trading plan is a prerequisite.
Historical data analysis is a valuable tool for active traders. Data mining and backtesting trading strategies can potentially improve performance.
For many investors, intraday trading is perceived to be an inherently risky occupation, and one that attracts individuals oblivious to its many pitfalls.
Parallels are often drawn between day trading and nearly every type of sport. Whether one is a seasoned day trader, savvy chess player or a rookie linebacker in the NFL, an age-old axiom sums up [...]
Day traders come in all shapes and sizes, with the aspiration of profit often being the only common ground among them.
The current electronic marketplace is a dynamic, complex arena where infinite possibilities exist at any given time. It is commonplace for individuals new to the financial markets, and to trading [...]
Automated trading refers to the use of computer and Internet technologies to place and manage individual trades within the electronic marketplace.
Algorithmic trading is the practice of using computers to place trades automatically according to defined criteria.
Buying and selling securities in the same day to attempt to profit on small moves in the market.