Algorithms

Algorithmic trading, also called automated trading, black-box trading, or algo trading, is the use of electronic platforms for entering trading orders with an algorithm which executes pre-programmed trading instructions whose variables may include timing, price, or quantity of the order, or in many cases initiating the order by a system, without human intervention. Algorithmic trading is widely used by investment banks, pension funds, mutual funds, and other buy-side (investor-driven) institutional traders, to divide large trades into several smaller trades to manage market impact and risk. Sell side traders, such as market makers and some hedge funds, provide liquidity to the market, generating and executing orders automatically.

The image on the left is from a specialized trading environment not commonly available to most traders and plots financial time series data in 3D space over the time dimension (i.e. 4D space). Credience stands out from other software firms because of our unique and original approach uses PhD-level mathematics and computer science to undergo higher dimensional technical analysis. In a nutshell, we map financial markets into higher dimensional spaces to more easily calculate precisely when to enter a trade and precisely when to exit a trade to maximize profits whilst minimizing losses. To contrast this with what many other traders see, they see financial patterns similar to the image on the right.

We program large scale massively parallel super computers to stress test our hundreds of proprietary trading models. +70% of trading is now done by machines. Don't get left behind.

Trading Forex and Derivatives carries a high level of risk to your capital and you should only trade with money you can afford to lose. Trading Derivatives may not be suitable for all investors, so please ensure that you fully understand the risks involved, and seek independent advice if necessary.

Certain performance results shown on this site are based on the use of computerized system logic on broker data, whilst other results are actual live results. Hypothetical or simulated performance results have certain limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown.

Credience Pty Ltd trading as Credience Corporation (ACN: 128 863 945) is an Australian based algorithmic trading software development company and does not provide general nor personal financial advice.