Simulates Real-Time Trading System:
One of the main features of CloudQuant is its ability to backtest. The purpose of backtesting is to simulate what would happen in a real world environment. This allows traders and quants to get an idea of how their strategy will perform. It is important, however, to remember that simulations are never perfect. Task performance will not necessarily predict future results. All things cannot be simulated, and some things are more suited to simulation than others. Take market impact, for example: when you make a trade in a real world environment, the market reacts and changes based on what you do. This is not something that CloudQuant can replicate. Instead, CloudQuant takes in data from the market and replicates it the exact same way that it actually happened in the real world, not changing it based on the simulated strategy. It also simulates how exchanges behave around the different order types, specifically the on-open and on-close orders.
CloudQuant simulates:
- Market data
- Latency
- Risk management
- Market structure
- Commissions