At present, the more mainstream quantitative trading software in the market is ptrade and qmt, most brokerages in the market can provide, but the threshold of each brokerage is different, in short, you need to find an account manager in advance before opening an accountzqkh20190221Hello, some brokerages have a high threshold for opening quantitative software.
It is suitable for customers who use the speed strategy trading system.
Institutional Clients: Actively managed small and medium-sized private placements with higher requirements for systematic trading tools and transaction efficiency.
Customers with a large amount of funds: customers who need to split and supplement large orders to achieve high-frequency trading.
High-frequency trading clients who have special needs for trading speed and convenience of reporting.
Quantitative trading enthusiasts: Quantitative customers who need to conduct strategy research and real trading of strategies.
Personalized Trading Clients: Clients who need personalized trading such as basket portfolio trading, ETF trading, algorithmic trading, etc.
Risk-sensitive customers: Customers who have requirements for transaction compliance, trading volume and price, asset ratio, etc.
The advantages are: full-memory high-speed trading: full-memory trading, a single delay is less than 1ms, which meets the transaction speed requirements of quantitative trading and high-frequency trading customers.
Ultra-high-speed service: the whole market's five gears are pushed to the terminal in real time, which comprehensively surpasses the ordinary software subscription-based service and supports the needs of historical tick data display and handicap playback.
Enhanced personalized trading: support a variety of professional trading tools such as ordinary trading, portfolio trading, ETF trading, etc., support built-in standard algorithmic trading, random volume trading, effectively undertake large-amount transactions, hide trading behaviors, and meet the personalized trading needs of investors.
Real-level quantitative trading: support Python and VBA bilingual strategy development, strategy writing, backtesting, and simulated trading are all localized execution, no need to upload servers, and the strategy is safe and secure, providing a variety of strategy template research such as quantitative stock selection, timing, and index enhancement, and built-in mature strategies such as grid trading.
Multi-dimensional risk control management: full-memory, multi-level and parallel risk control, greatly reducing transaction delays, improving the efficiency of risk control execution, achieving risk control such as transaction compliance, transaction volume and price, and asset ratio, and strictly controlling investment risks.