1Fuel Whitepaper
  • 📖 Executive Summary
    • 📝Mission Statement
    • 💎Unique Selling Proposition (USP)
  • 👨‍🏫 Introduction
    • 🔍Problem Statement
    • 💡Solution Overview
    • 🌐Insights into How 1FUEL’s Unique Features Set It Apart
  • 📊 Market Analysis
    • 🎯Target Audience
    • ⚔️Competitive Analysis
  • 🔄🚀 One-Click Cross-Chain Transactions
    • ⚙️Real-World Value
    • 🛠️Problems Solved
    • 🏗️Technical Architecture
    • 📐Mathematical Modeling
    • 📜Coding Example
    • 📖Explanation and Details
    • 📈Optimization and Extension
  • 💻 Peer-to-Peer (P2P) Exchange
    • ⚙️Real-World Value
    • 🛠️Problems Solved
    • 🏗️Technical Architecture
    • 📐Mathematical Modeling
    • 📜Coding Example
    • 📖Explanation and Details
    • 📈Optimization and Extension
  • 💳 1FUEL Debit and Credit Cards
    • ⚙️Real-World Value
    • 🛠️Problems Solved
    • 🏗️Technical Architecture
    • 📐Mathematical Modeling
    • 📜Coding Example
    • 📖Explanation and Details
    • 📈Optimization and Extension
  • 💾 Cold Storage Solutions
    • ⚙️Real-World Value
    • 🛠️Problems Solved
    • 🏗️Technical Architecture
    • 📐Mathematical Modeling
    • 📜Coding Example
    • 📖Explanation and Details
    • 📈Optimization and Extension
  • ⭐ AI-Powered Features
    • ⚙️Real-World Value
    • 🛠️Problems Solved
    • 🏗️Technical Architecture
    • 📐Mathematical Modeling
    • 📜Coding Example
    • 📖Explanation and Details
    • 📈Optimization and Extension
  • 🛡️ Security and Compliance
    • 🔑Security Protocols
    • 🔐Compliance and Privacy
    • 📐Mathematical Modeling
    • 📜Coding Example
    • 📖Explanation and Details
    • 📈Optimization and Extension
  • 💰 Tokenomics
  • 🛣️ Roadmap
  • 💼 Team and Advisors
  • ✅ Conclusion
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  1. 💻 Peer-to-Peer (P2P) Exchange

📜Coding Example

Here is a simplified Python implementation for managing a P2P trade on the 1FUEL platform:

class P2PTrade:
 def __init__(self, party_a, party_b, asset_a, asset_b, amount_a,
amount_b):
 self.party_a = party_a
 self.party_b = party_b
 self.asset_a = asset_a
 self.asset_b = asset_b
 self.amount_a = amount_a
 self.amount_b = amount_b
 self.trade_complete = False
 def initiate_trade(self):
 # Create escrow contracts for both parties
 self.escrow_a = self.create_escrow(self.party_a, self.asset_a,
self.amount_a)
 self.escrow_b = self.create_escrow(self.party_b, self.asset_b,
self.amount_b)
 def create_escrow(self, party, asset, amount):
 # Simulated function to lock assets in escrow
 return {"party": party, "asset": asset, "amount": amount, "locked":
True}
 def confirm_trade(self):
 if self.escrow_a["locked"] and self.escrow_b["locked"]:
# Simulate asset swap
self.swap_assets()
self.trade_complete = True
return self.trade_complete
def swap_assets(self):
# Simulated asset transfer between parties
self.escrow_a["party"], self.escrow_b["party"] = self.escrow_b["party"],
self.escrow_a["party"]
# Example usage:
# Initialize a P2P trade
trade = P2PTrade("UserA", "UserB", "BTC", "ETH", 1, 15)
trade.initiate_trade()
# Confirm and execute the trade
if trade.confirm_trade():
 print("Trade completed successfully!")
else:
print("Trade failed or incomplete.")
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Last updated 8 months ago