Tuesday, January 22, 2013

High Frequency Trading Live Alerts 22 Jan 2013 Emini Futures

If you trade the S&P 500 Emini Futures, or trade the Nasdaq, Dow Jones, Rusell mini futures, or if you trade Forex and Crude Oil you need to check out www.sceeto.com for one of the worlds most advanced indicators. A no obligation Free Trial is availible.www.sceeto.com 
 High Frequency Trading Live Alerts 22 Jan 2013 Emini Futures. Get a free trial to follow the bots yourself here http://sceeto.com/user/register . How many points would you have made today using sceeto ? How many points did you make on the Emini today, you pay for live data feed prices maybe it's time you got yourself some real time hft indicators and order flow alerts. Try sceeto you will be amazed .
some links to other example videos

text courtesy of Wikipedia creative commons
An artificial neural network, often just called a neural network, is a mathematical model inspired by biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases a neural network is an adaptive system that changes its structure during a learning phase. Neural networks are used to model complex relationships between inputs and outputs or to find patterns in data.Banks use artificial intelligence systems to organize operations, invest in stocks, and manage properties. In August 2001, robots beat humans in a simulated financial trading competition.[4]
Financial institutions have long used artificial neural network systems to detect charges or claims outside of the norm, flagging these for human investigation.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 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.[1][2] Sell side traders, such as market makers and some hedge funds, provide liquidity to the market, generating and executing orders automatically.

A special class of algorithmic trading is "high-frequency trading" (HFT). Many types of algorithmic or automated trading activities can be described as HFT. As a result, in February 2012, the Commodity Futures Trading Commission (CFTC) formed a special working group that included academics and industry experts to advise the CFTC on how best to define HFT.[3][4] HFT strategies utilize computers that make elaborate decisions to initiate orders based on information that is received electronically, before human traders are capable of processing the information they observe. Algorithmic trading and HFT have resulted in a dramatic change of the market microstructure, particularly in the way liquidity is provided.[5] Algorithmic trading may be used in any investment strategy, including market making, inter-market spreading, arbitrage, or pure speculation (including trend following). The investment decision and implementation may be augmented at any stage with algorithmic support or may operate completely automatically.