Algorithm Yen
Quantitative SaaS infrastructure for professional trading scenarios, providing algorithmic strategies, data processing and trade execution capabilities to support long-term stable automated trading systems
| TF | Status | SignalID | Signal Time | Duration |
|---|---|---|---|---|
| m1 | -- | -- | -- | -- |
| m5 | -- | -- | -- | -- |
| m15 | -- | -- | -- | -- |
| m30 | -- | -- | -- | -- |
| h1 | -- | -- | -- | -- |
| h4 | -- | -- | -- | -- |
| d1 | -- | -- | -- | -- |
Proprietary Algorithm
Derived from the manual trading experience of top traders, evolved into semi-automated tools, and ultimately formed the Neumann quantitative system
Neumann
The quantitative system views trading as a formalizable philosophical decision-making process, with its core based on binary philosophy, compressing uncertainty into executable binary judgments
Kepler
Global data center progressively providing candlestick data from worldwide exchanges for Neumann analysis, with gradual integration of exchange order placement
Neumann Quant Service
Global Signals
Global instrument signal support covering stocks, futures, precious metals, energy and commodities
Order Service
Neumann determines entry based on funds and positions, executing at optimal price ranges
Position Control
Neumann auto-executes TP/SL and position scaling based on strategy and risk conditions
Risk Management
Neumann detects abnormal trades and price behavior, guarding against institutional-driven market risks
About Algorithm Yen
ArYen is a quantitative SaaS infrastructure for professional trading scenarios, providing algorithmic strategies, data processing and trade execution capabilities
Our team consists of financial engineers, full-stack engineers, and live traders with mature financial market experience and system-level engineering capabilities. We independently designed and continuously evolve the Neumann quantitative system, which uses a non-AI, non-black-box pure algorithmic architecture based on state mechanisms and rule evolution logic, without relying on numerical fitting or statistical regression, emphasizing interpretability, verifiability, and long-term stable operation
