Data metrics covering numerous variables from global deep liquidity pools, exchanges and flows are collected, analyzed and filtered using machine learning and artificial intelligence.
Recurring patterns matching strategy criteria identified, market conditions are analyzed to determine trade entry and exit parameters.
All risks are monitored in real-time. EndoTech systems engineers monitor all markets and exchange flows 24/7 to ensure near invisible slippage and execution latency for our clients.
Available balance is ordered for long, short or reversal positions based on system signals per strategy. A key layering of profiles is used to offset negative potential market impact.
Required probabilistic outcomes of success and existing exposure are considered per each account and risk profile by active systems & operators.
1. Model Risk
Describes any inconsistencies or inaccuracies in the algorithmic models that deliver trading instructions to exchanges.
2. Execution Risk
Referencing trade execution, this risk defines situations whereby trades are not filled at the appropriate prices and times indicated by the Al-driven algorithm.
3. Exchange Risk
This risk corresponds to exchanges' core functionalities, and the possibility of service outages that may negatively affect client funds.
4. Market Risk
Refers to the risk of loss stemming from market-based variables like order flow, price fluctuations, and volatility.
5. Systemic Risk
This risk denotes the possibility of an entire market collapsing, instead of a single component like an exchange.