What Is the Operational Challenge of Using Cold Storage for High-Frequency Trading?

The primary challenge is the latency and manual intervention required to move assets from offline cold storage to an online hot wallet for trading. High-frequency trading (HFT) demands near-instantaneous access to assets for rapid execution.

The security protocols of cold storage, such as multi-signature approval and physical air-gapping, introduce delays that are incompatible with the speed requirements of HFT.

Can an HFT Firm Be Accused of Front-Running, and under What Circumstances?
How Does Increasing the Number of Steps in the Binomial Model Affect Its Accuracy?
How Does the Use of High-Frequency Trading (HFT) Algorithms Relate to Front-Running Accusations?
How Does the Binomial Tree Model Approximate the Continuous Time of the Black-Scholes Model?
What Is the Difference between “Deep Cold Storage” and Standard Cold Storage?
What Is ‘High-Frequency Trading’ (HFT) and Its Relation to Latency?
Define “Latency” in HFT and Explain Its Critical Role in Execution
What Is “Colocation” and How Does It Give HFT Firms an Advantage in Minimizing Their Own Slippage?

Glossar