The Dark Pool

GPTKB entity

Statements (56)
Predicate Object
gptkbp:instance_of gptkb:Securities_and_Exchange_Commission
gptkbp:algorithmic_trading often involves algorithmic trading
gptkbp:benefits lacks transparency
reduces market impact
gptkbp:capacity can handle large trading volumes
gptkbp:competitors competes with traditional exchanges
gptkbp:data_privacy offers confidentiality for large orders
gptkbp:example Credit Suisse's Crossfinder
Goldman Sachs' Sigma X
ITG Posit
Liquidnet
gptkbp:execution_quality aims for high execution quality
gptkbp:financials trades various financial instruments
gptkbp:function facilitates trading away from public exchanges
https://www.w3.org/2000/01/rdf-schema#label The Dark Pool
gptkbp:impact can affect stock prices
gptkbp:impact_on_volatility can impact market volatility
gptkbp:investment counterparty risk exists
gptkbp:investment_strategy part of investment strategy for some firms
gptkbp:is_visible_from less transparent than public exchanges
gptkbp:market includes various market participants
may act as a liquidity provider
operates in both equities and derivatives
provides liquidity for large trades
requires market analysis for effective use
gptkbp:market_share growing share of overall trading volume
gptkbp:marketing_strategy supports various trading strategies
can implement various trading strategies
gptkbp:operating_hours typically operates during market hours
gptkbp:order supports various order types
gptkbp:order_matching uses order matching technology
gptkbp:participants institutional investors
gptkbp:provides_information_on trading volume is often hidden
gptkbp:regulatory_compliance subject to financial regulation
subject to SEC oversight
gptkbp:reports_to may have delayed reporting of trades
gptkbp:revenue may charge lower fees than traditional exchanges
gptkbp:stock_exchange integrated with trading platforms
gptkbp:strategy used for block trading
gptkbp:technology uses algorithms for matching trades
gptkbp:trade_settlement involves trade settlement processes
gptkbp:trading_costs can lower trading costs
gptkbp:trading_data trading data may be aggregated
gptkbp:trading_environment operates in a unique trading environment
gptkbp:trading_style often used for high-frequency trading
gptkbp:trends influences market dynamics
gptkbp:type alternative trading system
gptkbp:user pension funds
mutual funds
hedge funds
proprietary trading firms
gptkbp:user_base has a diverse user base
gptkbp:user_experience designed for user experience
gptkbp:was_executed_by aims for better execution prices
gptkbp:bfsParent gptkb:Janet_Cardiff
gptkbp:bfsLayer 5