Describe the feature or problem you'd like to solve

Design and implement a proprietary blockchain-based formula that leverages Satoshi Nakamoto's chain sequences and integrates timing functions inspired by Enoch to automate and optimize cryptocurrency buying strategies. The algorithm should analyze cycles and trends from social and financial sources, including finance.com, CoinGecko.com, and binance.com, to time buys and potentially other actions across various cryptocurrencies, factoring in social sentiment and market movements.

Proposed solution

• Develop an algorithmic chain formula that:
  • Utilizes historical chain sequences (Satoshi Nakamoto's methodology) to predict cycle points.
  • Integrates Enoch-inspired timing mechanisms to schedule buys and other actions.
  • Pulls and analyzes data from CoinGecko, Binance, and finance.com for price, volume, and social sentiment.
  • Incorporates social cycles and trends to adjust strategy adaptively.
  • Provides API endpoints and CLI integration for triggering actions and reviewing cycle predictions.

Example prompts or workflows (for tools/toolsets only)

• "Trigger a buy order when social sentiment and historic cycle alignment are confirmed for BTC."
• "Predict next best entry for ETH based on chain sequence and social trend convergence."
• "Show historical accuracy of chain timing versus actual market movements."
• "Pull relevant market and social data and simulate the formula for a given coin."
• "Review upcoming predicted cycle events for top 10 coins by market cap."

Additional context

• Proprietary logic design preferred; do not rely solely on existing open-source algorithms.
• Consider extensibility for additional coins and new data sources.
• Security and modularity for future integrations.