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 used repeatedly. [...]
Getting started in the world of API trading is often a daunting task. Industry jargon is complex as is the technology driving functionality. However, whether one is interested in optimising trade [...]
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 add rules [...]
Application Programming Interfaces (API) act as a bridge between different software types, facilitating the free transmission of data. In the arena of active trading, API functionality includes [...]
An API is a set of definitions and protocols used to build a software application. APIs are frequently implemented to streamline the connection between the trading platform, brokerage account, [...]
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 being one of the [...]
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 [...]
page 1 of 2