Automated algo trading generates profit opportunities with amazing consistency and speed by telling computers to do a specific set of calculations, rules, and instructions. Trading with automated algorithms is more efficient and liquid since the program removes human traders’ emotional effect. Furthermore, automated algo trading systems provide the best trading pricing.
The market can be watched day and night by the algorithms that enable automated algo trading. Since all trading orders, including profit parameters and stop loss orders, are generated automatically as soon as a position is established, the trade is diversified, there are no missed chances, and there is no need to manually enter any trading orders. Automated trading algorithms adhere to a precise trading strategy that considers the trade’s price, timing, amount, and other mathematical aspects.
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Due to the participation of international marketplaces and the efficient worldwide allocation of funds, the automated algo trading industry is anticipated to enjoy stable growth during the projection period. Additionally, it gives nations the chance to diversify their portfolios and share risks, both of which are anticipated to fuel the growth of the worldwide automated algo trading market.
One of the key factors driving the automated algo trading industry throughout the predicted period is the liquidity in the equities market as a result of financial market integration. High-profit international investment banks are investing heavily to create and improve their own automated algo trading platforms and methods.
The automated algo trading market is anticipated to experience various obstacles during the forecast period, including an increase in the volume of data that needs to be processed and a rise in the need for data processing speed. Automated algo trading has several risks in addition to its many advantages. The automated algo trading infrastructure may collapse due to sudden system failure, delays in orders and executions, incorrect network connectivity, and flawed algorithms.
Automated algo trading: Competitive Landscape
The automated algo trading market is considerably competitive with the continuous product and technological developments by already established as well as new players. Some of the key players in the automated algo trading market are Vela, AlgoTerminal LLC, Cloud9Trader, Quantopian, Trading Technologies International, Inc., QuantConnect, AlgoTrader GmbH, InfoReach, Inc., Tethys Technology, and Citadel, among others.
Automated algo trading: Technology Innovation
Automated algo trading technology is continuously upgraded to facilitate the industry. In February 2018, Fidessa Group PLC announced a partnership with Virtu Financial.
This partnership, in the automated algo trading sector, aimed at enabling clients to access Virtu Financial’s fully disclosed and transparent liquidity, together with upgraded upstream workflow in order to manage more complex trading environment that the brokers find themselves in.
Automated algo trading market, at the moment, is experiencing significant developments driven by various vendors in the space. In January 2018, Zerodha partnered up with Streak, a start-up, in order to provide an automated algo trading platform where traders can develop algorithms to generate trading signals for selling or buying stocks without any coding requirements.
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Automated Algo Trading: Regional Outlook
North American market, being the most prominent in the automated algo trading market globally, is expected to lead the global revenue generation owing to the technological advancements and significant penetration in the financial markets.
APAC market is estimated to grow steadily and enhance its market presence in the global automated algo trading market owing to the rapid growth in economies of countries like India and China.
Leading Key Players:
- Vela
- AlgoTerminal LLC
- AlgoTrader GmbH
- Cloud9Trader
- Quantopian
- InfoReach, Inc.
- Trading Technologies International, Inc.
- QuantConnect
- Tethys Technology
- Citadel
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Automated Algo Trading Industry Segmentation:
By Application:
- Trade Execution
- Stealth/Gaming
- Statistical Arbitrage
- Strategy Implementation
- Electronic Market-making
- Liquidity Detection
By End User:
- Personal Investors
- Credit Unions
- Trusts
- Pension Funds
- Insurance Firms
- Prime Brokers
- Investment Funds
By Region:
- North America
- Latin America
- Western Europe
- Eastern Europe
- APEJ
- Japan
- Middle East & Africa
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