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2. Marketcetera - Wikipedia

   en.wikipedia.org/wiki/Marketcetera

   Marketcetera is a financial software company that develops the Marketcetera open source trading platform, linking financial exchanges to users through broker services allowing the development of automated trading systems, essentially acting as a meta-broker itself. The Marketcetera platform uses the ACTIV Financial data steam services for a ...

3. Automated trading system - Wikipedia

   en.wikipedia.org/wiki/Automated_trading_system

   These systems allowed traders to share their trading histories and strategies, which other traders could replicate in their accounts. One of the first companies to offer an auto-trading platform was Tradency in 2005 with its "Mirror Trader" software.

4. Foreign exchange autotrading - Wikipedia

   en.wikipedia.org/wiki/Foreign_exchange_autotrading

   Forex autotrading is a slang term for algorithmic trading on the foreign exchange market, wherein trades are executed by a computer system based on a trading strategy implemented as a program run by the computer system.

5. MetaTrader 4 - Wikipedia

   en.wikipedia.org/wiki/MetaTrader_4

   A chart from the MT4 trading screen. The client terminal includes a built-in editor and compiler with access to a user contributed free library of software, articles and help. The software uses a proprietary scripting language, MQL4/MQL5, [13] [14] [15] which enables traders to develop Expert Advisors, custom indicators and

6. Wealth Lab - Wikipedia

   en.wikipedia.org/wiki/Wealth_Lab

   After significant negotiations, Fidelity acquired the Wealth-Lab software assets in 2004. [2] Currently, the client runs on Microsoft Windows .NET 8 and requires internet access to function properly. Users with subscriptions can program, backtest, and auto-trade trading strategies for stocks, futures, forex, options, and cryptocurrencies ...

7. Algorithmic trading - Wikipedia

   en.wikipedia.org/wiki/Algorithmic_trading

   These encompass a variety of trading strategies, some of which are based on formulas and results from mathematical finance, and often rely on specialized software. [5] [6] Examples of strategies used in algorithmic trading include systematic trading, market making, inter-market spreading, arbitrage, or pure speculation, such as trend following.