List-based algorithms allow ITG's customers to actively manage risk in portfolios of stocks, while minimizing transaction costs.

ITG's list-based algorithms are designed specifically for transition trades, fund cash flows and quantitative rebalances. List-based algorithms utilize advanced optimization techniques to reduce residual risk, tracking error and market impact by simultaneously accessing POSIT and ATS liquidity through DarkServer. These algorithms can be used to trade a list over multiple days or within a single day, helping customers to manage their portfolio transactions more efficiently. List-based algorithms can also help maintain dollar and sector balance.

"The introduction of list-based algorithms is another example of how ITG is continuing its history of innovation in algorithmic trading, said Tony Huck, ITG's Managing Director of Sales and Trading. "As algorithmic trading proliferates, ITG focuses on developing new algorithms that answer the specific needs of our client base."

ITG's algorithmic trading offerings run the gamut from single stock algorithms to highly complex list-based algorithms. All of ITG's algorithms integrate seamlessly with ITG's direct market access products, Triton and Radical, as well as a variety of order management systems. All ITG Algorithms utilize the DarkServer to access the unique liquidity found in alternative trading systems (ATSs), while applying multiple algorithmic trading strategies.