Day traders come in all shapes and sizes, with the aspiration of profit often being the only common ground among them.

Day traders come in all shapes and sizes, with the aspiration of profit often being the only common ground among them.
Python is one of many programming languages used by algo traders to create a trading strategy. A Python wrapper simplifies a function into a much shorter expression that can be…
An automated trading strategy contains a set of rules which will take particular actions in response to incoming market data. When automating a trading strategy, the trader may want to…
The FIX API is a set of clearly defined rules and methods designed specifically for the electronic transfer of financial data. Developed in 1992 for equities, it has evolved into…
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,…
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.
These materials constitute marketing communication and do not take into consideration your personal circumstances, investment experience or current financial situation. The content is provided as general market commentary and should not be construed as containing any type of investment advice, investment recommendation and/or a solicitation for any investment transactions. This market communication does not imply or impose an obligation on you to perform an investment transaction and/or purchase investment products or services. These materials have not been prepared in accordance with legal requirements designed to promote the independence of investment research and are not subject to any prohibition on dealing ahead of the dissemination of investment research.
FXCM, and any of its Affiliates, shall not in any way be liable to you for any inaccuracies, errors or omissions, regardless of cause, in the content of these materials, or for any damages (whether direct or indirect) which may arise from the use of such materials, services and their content. Consequently, any person acting on them does so entirely at their own risk. Please ensure that you read and understand our Full Disclaimer and Liability provision concerning the foregoing Information, which can be accessed here.