Smart Yield Ecosystem WhitePaper
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  • ๐Ÿš€Executive Summary
  • ๐ŸชชIntroduction
  • โ‰๏ธProblems with Existing Wallets
  • ๐Ÿ’กSmart Yieldโ€™s Solution
  • ๐ŸฆHold to Earn Feature
    • Mathematical model
    • Coding Example
  • โ›๏ธAutoMine Feature
    • Mathematical Model
    • Coding Example
  • ๐Ÿค–AI-Powered Gas Fee Predictions
    • Mathematical Model
    • Coding Example
  • ๐Ÿ’ตSmart Yield Pay (Crypto Debit & Credit Cards)
    • Mathematical Model
    • Coding Example
  • Smart Swap
  • Smart Yield Coin (SYC) ICO Presale
  • ๐Ÿ’ฒInvestment Opportunities: Why Invest in Smart Yield Coin (SYC) ?
  • โ“SYC ICO Presale: How to Invest
  • ๐Ÿ”‘Key Differentiators
  • Problems with Existing Wallets & How Smart Yield Solves Them
  • FAQ
  • โ€ผ๏ธConclusion
  • ๐Ÿ—’๏ธFinal Notes
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  1. ๐Ÿค–AI-Powered Gas Fee Predictions

Coding Example

(Python - AI Fee Prediction Algorithm)

import numpy as np
def predict_gas_fee(current_fee, congestion_time, normal_time, alpha=0.7, beta=0.3):
return (alpha * current_fee) + (beta * (congestion_time / normal_time))
# Example values
current_fee = 50 # Gwei
congestion_time = 120 # minutes
normal_time = 60 # minutes
predicted_fee = predict_gas_fee(current_fee, congestion_time, normal_time)
print(f"Predicted optimal gas fee: {predicted_fee} Gwei")
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Last updated 4 months ago