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Dmitry Olegovich Sorokin (@sorydima) edited this page Jul 3, 2025 · 1 revision

๐Ÿค– REChain ยฎ Autonomous Agent for Pythagorean Perpetual Futures โ€” Wiki

Welcome to the wiki for the Autonomous Agent for Pythagorean Perpetual Futures (pyth-), part of the REChain Network Solutions stack.

This smart agent autonomously trades and balances perpetual derivatives using a Pythagorean-styled mathematical model, which maintains risk equilibrium through geometric positioning of long/short and margin scaling.


๐Ÿ“Œ Purpose

The pyth- agent:

  • Tracks perpetual markets (price, volatility, funding)
  • Calculates geometrically optimal entry/exit
  • Self-adjusts position sizing based on risk distribution
  • Integrates with decentralized oracles (e.g. Katya-Oracle, Pyth, REChain-native)
  • Deploys trades through smart contract interfaces or relayers

๐Ÿง  Architecture

Autonomous-Agent-pyth-/
โ”œโ”€โ”€ models/                # Pythagorean logic, geometric balance algorithms
โ”œโ”€โ”€ strategies/            # Trade entry/exit strategies
โ”œโ”€โ”€ oracles/               # Oracle data ingestion layer
โ”œโ”€โ”€ relayers/              # Blockchain execution adapters
โ”œโ”€โ”€ state/                 # Position memory, exposure logs
โ”œโ”€โ”€ agents/                # Main loop: strategy selection + execution
โ”œโ”€โ”€ tests/                 # Unit tests
โ””โ”€โ”€ README.md

๐Ÿงฎ Pythagorean Engine

The core model works by assuming:

  • Each side of the triangle (long, short, neutral) represents a risk exposure vector.
  • The hypotenuse represents total position risk.
  • The agent calculates exposure adjustments so that longยฒ + shortยฒ = totalยฒ.

This creates a self-balancing leverage system for derivatives.


๐Ÿ›  Capabilities

Function Description
๐Ÿ“Š Market Monitoring Live monitoring of perpetual futures
๐Ÿ“ Position Rebalancing Adjusts positions geometrically based on Pythagorean logic
๐Ÿ” Strategy Switching Switches strategy based on market conditions (volatility, funding)
โš– Risk Control Caps risk through risk score engine
๐Ÿง  Oracle Integration Uses real-time price feeds via Katya oracles or external APIs
๐Ÿ”— Smart Contract Execution Directly interacts with DeFi protocols or on-chain contracts

โš™๏ธ Configuration

.env.example

RPC_URL=https://rpc.rechain.network
PRIVATE_KEY=your_private_key
ORACLE_PROVIDER=katya
MAX_RISK=0.05
STRATEGY=pyth_balancer

๐Ÿš€ Running the Agent

git clone https://github.com/REChain-Network-Solutions/Autonomous-Agent-for-Pythagorean-perpetual-futures-pyth-.git
cd Autonomous-Agent-for-Pythagorean-perpetual-futures-pyth-
npm install     # or pip install -r requirements.txt
npm start       # or python main.py

๐Ÿ“ก Oracle Layer

Supports:


๐Ÿ” Security and Autonomy

  • Private key stored securely (never exposed to logs)
  • Rate limiting for market entries
  • Automated fallback and shutdown if oracle fails

๐Ÿงฉ Integrations

System Use Case
dChange DeFi Trade execution
REChain Perp DEX Order routing
PerpStats Data visualization
Katya OS Autonomous environment execution

๐Ÿ”ฎ Future Features

  • zkML module for private trade decisioning
  • Real-time swarm coordination with other agents
  • Multi-agent reinforcement learning
  • Web3 front-end for agent management

๐Ÿค Contribute

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