Quantitative Trading File Storage Solution
Intelligent storage architecture designed specifically for high-frequency trading and quantitative strategy backtesting, supporting million-level IOPS order flow processing per second, meeting millisecond access requirements for Tick-level data
Industry Challenges and Pain Points
| Category | Traditional Solution Defects | Quantitative Requirements | Business Impact |
|---|---|---|---|
| Data Management | Single protocol storage (S3 only/POSIX only) | Cross-protocol unified access (S3+POSIX+NFS) | Strategy iteration cycle ↑20% |
| Performance Metrics | ≤500k IOPS (small file random read) | 3M+ IOPS <0.5ms latency | High-frequency strategy slippage ↓0.3bps |
| Storage Cost | Cold data > $0.05/GB/month | Intelligent tiering ≤$0.015/GB/month | Annual storage budget growth ↓65% |
Why Choose Us
Ultra-Fast Response
- Adopts RDMA network acceleration and GPU direct storage, latency ≤500μs, throughput up to 200 Gbps
- High-frequency trading backtesting speed improved by 300%
Massive File Support
- Intelligently aggregates small files into logical large objects, single cluster supports 400 billion files
- Metadata retrieval efficiency improved by 40%
Elastic Scaling
- Supports hybrid cloud deployment, hot data local SSD acceleration, cold data automatic cloud archiving
- Capacity can linearly scale to EB level
Financial Security
- National security SM4 hardware encryption, performance loss ❤️%
- Supports three-region five-center disaster recovery, RTO <1 minute
Scenario-Based Solutions
High-Frequency Strategy Development
Provides memory-mapped file interface (mmap), supporting C++/Python strategy code direct access to raw trading data
Measured Metrics
Single strategy backtesting of 1 billion order data takes only 4 hours (traditional solutions require 24+ hours)
AI Factor Mining
Integrates TensorFlow/PyTorch plugins, automatically mapping feature datasets to S3 object storage paths
Case Study
Jufund achieved 3000+ factor parallel computing, storage throughput improved 8x
Regulatory Compliance Storage
Built-in WORM (Write Once Read Many) mode, meeting non-tamperable trading record requirements
Automatically generates CFCA-compatible audit logs (processing 100k+ operation records per second)
Industry Compliance and Security
Financial-Grade Encryption (Required)
FIPS 140-2 certified national security dual algorithm support
Cross-Regional Synchronization (Required)
Meets SEC 17a-4 off-site disaster recovery specifications
Audit Interface (Required)
Direct integration with Splunk, Elastic regulatory modules
Core Advantage Comparison
| Dimension | Traditional Solutions | rustFS Solutions | Business Value Manifestation |
|---|---|---|---|
| Order Flow Processing | ≤500k IOPS | ✅ 2.3M IOPS | Eliminates order accumulation risk during market peaks |
| Data Compression Ratio | 3:1 | ✅ 11:1 (ZSTD+FPGA acceleration) | PB-level backtesting data storage cost reduced by 67% |
| Failover Time | 15–30 seconds | ✅ 82ms | Avoids SEC regulation penalties for system interruptions |
Service Guarantee System
Deployment Services
Provides storage-computing integrated machines (pre-installed RustFS) or pure software delivery
Performance Optimization
Free provision of "Quantitative Data Lake Design White Paper" and data governance consulting services
Ecosystem Cooperation
Already completed certification with 20+ quantitative platforms (including JoinQuant, Nuggets Quantitative, etc.)