Datavecta provides a full suite of services for strategy trading, covering strategy research, execution, and support. Our focus is not on frequent trading but on establishing trading based on clear rules and sustainable methods.
Regardless of user type, Datavecta’s service objective remains consistent: to ensure policies are comprehensible, executable, and perpetually effective.
Datavecta’s strategy trading system is built on a clear and executable technical framework. Our technical goal is not to pursue complex models, but to ensure the strategy can be continuously executed, easily adjusted, and adapted to varying market conditions.

The platform employs deep reinforcement learning (DRL) to analyze evolving market behaviors, while integrating natural language processing (NLP) to process multi-source data, thereby supporting strategic research and continuous optimization.

The strategy execution is powered by a high-performance algorithm engine based on financial models, supporting both high-frequency and strategy trading scenarios. It maintains execution efficiency and stability while handling price fluctuations, liquidity changes, and operational constraints.

In the process of data processing and policy execution, zero-knowledge proofs (ZKP) and multi-party computation (MPC) are introduced to protect user privacy under verifiable conditions and prevent the exposure of critical information.

The system features a modular design and operates in a cloud computing environment, enabling seamless integration of new policy modules, financial protocols, and cross-chain functionalities while supporting scalable expansion.
How to run a policy in Datavecta



Datavecta’s User Empowerment Program focuses on three key areas: understanding strategies, understanding markets, and mastering the decision-making process, helping users make informed decisions when executing strategy-based trades.

Through structured content, users can understand the basic logic and usage of algorithmic trading, avoiding blind following or emotional decisions.

Provide regular trading knowledge and market analysis content to help users better understand market changes and their impact on strategies.

Through long-term information accumulation and research support, we help users form clearer and more evidence-based decision-making in complex environments.
During its operations, Datavecta strictly complies with the laws, regulations, and industry standards of the applicable regions. All services are conducted within a clear compliance framework, and through continuous internal audits and process management, the platform ensures transparent and traceable operations, establishing a long-term and credible service foundation.
For asset and data security, Datavecta employs multi-layer security mechanisms and encryption technologies to continuously monitor system operations and conduct regular security audits. These measures ensure the integrity and security of user data and related information throughout their usage and processing.