AI & Machine Learning

STOIC aims to democratize algorithmic trading and crypto analytics by combining the power of LLMs with community-driven insights on a scalable blockchain infrastructure. By integrating Stoics proven technology, providing robust backtesting and paper trading options, and building a vibrant marketplace around proven strategies, STOIC aspires to become a cornerstone in the rapidly expanding digital asset ecosystem.

LLM Integration for Strategy Creation

• Chat Interface: STOIC will integrate a Large Language Model (LLM) that interprets user prompts and auto-generates code snippets for Freqtrade-based strategies.

• Custom Fine-Tuning: Over time, the platform can fine-tune LLMs on successful user strategies and platform data to improve strategy suggestions.

Data Sources & Future “Agents”

• Exchange Data: Real-time and historical feeds from top crypto exchanges for backtesting and live trading.

• Social Sentiment & Autonomous Agents: Future releases may include “Agents” capable of parsing social media (e.g., Twitter sentiment) or on-chain data, enabling more sophisticated strategy creation and market insights.

Deployment Model

• Centralized Hosting: Initially, STOIC will manage and host user strategies on a centralized backend for simplicity and reliability.

• Potential for Edge Compute: As the user base grows, STOIC will explore decentralized or edge compute options to reduce latency, improve scalability, and potentially offer trustless execution.

Platform Stack

• Backend: Built on Python which manages strategy logic, backtesting, and live trading.

• API Layer: Custom REST or GraphQL endpoints to handle user account data, strategy submissions, and marketplace transactions.

• Frontend: A web-based interface (React, Vue, or similar) that includes:

• An IDE-like code editor for advanced users.

• A chat interface powered by an LLM for natural language strategy creation.

• Containerization: Each user session or strategy may be isolated (e.g., via Docker) to ensure security and prevent cross-strategy interference.

Smart Contract Audits:

• Solana Programs: Commission external audits from reputable firms to ensure the STOIC token and marketplace smart contracts are secure.

• Penetration Testing: Regularly schedule and document pentests for the entire ecosystem.

Container Isolation:

• Use containerization best practices (e.g., Docker security profiles, read-only file systems where possible).

• Ensure each user’s strategies and data remain isolated to prevent cross-access or data leaks.

API Rate Limiting & Access Controls:

• Implement robust authentication (OAuth 2.0 or JWT) and granular user roles.

• Rate limit API calls to mitigate denial-of-service attacks and abusive usage.

Encrypted Communications & Data Storage:

• All internal/external communication should use TLS/SSL.

• Sensitive data (API keys for exchanges, user credentials) must be encrypted at rest, with key management solutions in place.

Failover & Redundancy:

• Geo-redundant hosting to minimize downtime.

• Automated backup and restore procedures for critical data (e.g., user strategies, transaction logs, performance metrics).