Privacy & Confidentiality Policy
Last updated: July 29, 2025
1. Introduction
At DailyGameMoments, we operate a quantitative trading system following strict Standard Operating Procedures (SOP). This Privacy Policy explains how we handle market data and protect your trading information.
2. Data Collection
Our system collects exclusively non-personal market data from these sources:
Primary Data Providers
- CryptoQuant: On-chain indicators, miner flows, exchange reserves
- Glassnode: Supply dynamics, wallet activity, stablecoin behavior
- Coinglass: Funding rates, long/short ratios, liquidation data
Exchange Connections
We connect via WebSockets to process real-time feeds from:
- Bybit
- Binance
We never collect personal trading data beyond required API keys (with trade-only permissions). All market data is aggregated and anonymized.
3. Data Processing
Our quantitative pipeline handles data with these safeguards:
| Process | Security Measures | Purpose |
|---|---|---|
| Real-time Processing | Encrypted WebSocket connections | Live strategy execution |
| Feature Engineering | Isolated sandbox environments | Model development |
| Time-Series Storage | AES-256 encrypted databases | Historical analysis |
4. Strategy Development
Our research methodology ensures confidentiality:
- Model Types: Z-Score strategies, proprietary quantitative models
- Parameter Optimization: Permutation testing with strict overfitting controls
- Validation: Train-test splits with <10% distributional divergence
Data Confidentiality Protocol
Anonymized Research
All proprietary data undergoes strict anonymization before algorithmic processing
Encrypted Processing
Data is processed using AES-256 encryption both at rest and in transit
Access Controls
Strict role-based permissions limit data access to essential personnel only
Our quantitative systems maintain complete data confidentiality through technical and operational safeguards
5. Performance Reporting
Automated reports contain only anonymized metrics:
- Sharpe Ratio (primary performance metric)
- Max Drawdown analysis
- Calmar Ratio
- Trade frequency statistics
- Equity curve visualizations (CSV/JSON formats)
Sample equity curve showing portfolio growth over time (simulated data)
All reports are generated with synthetic identifiers - no personal or account-specific data is included.
6. Security Protocols
We implement institutional-grade protections:
- Data Isolation: Separate storage for market data vs. user credentials
- Backtesting Integrity: Parameter sweep heatmaps stored encrypted
- Access Controls: Multi-factor authentication for all research environments
- Network Security: Zero-trust architecture between components
7. Third-Party Services
Essential providers with strict data limitations:
| Provider | Data Type | Restrictions |
|---|---|---|
| AWS Cloud | Encrypted market data | No plaintext storage |
| Data Vendors | On-chain metrics | Read-only API keys |