PeakeBot + Trading Bot Update w/ NectarEngine

We’ve pushed a fresh batch of updates to the PeakeCoin backend — focused on automation, transparency, and decentralized deployment. So I'm a just show you what I've had going on.

With all this work I'm still having issues with the canceling of orders so new ones can be filled. I may need some eyes @thecrazygm but it may take me a few days.

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✅ Code Changes & Feature Additions

peake_bot.py

• ➕ Added: SPREAD_PERCENT = 1.0

  • Controls buy/sell distance from the market price.
  • Dynamically calculated:

    buy_price = round(last_price * (1 - SPREAD_PERCENT / 100), 4)
    sell_price = round(last_price * (1 + SPREAD_PERCENT / 100), 4)
    

• 🪵 Logging Implemented

  • Logs every trade decision and response:

    logging.info(f"Market Price: {last_price} | Buy: {buy_price} | Sell: {sell_price}")
    logging.info(f"Buy Order Response: {buy_order}")
    logging.info(f"Sell Order Response: {sell_order}")
    

  • Output goes to trade_log.txt for each loop.

• 🌐 FTP Upload

  • After each trade cycle, logs are pushed to GeoCities:

    upload_to_ftp("trade_log.txt", "trade_log.txt")
    

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ftp_upload.py

• 📂 Directory Target Changed

  • Upload destination switched to:

    FTP_TARGET_DIR = "/xlaswap"
    

• 🛠️ Recursive Directory Creation

  • The script now ensures the target folder exists before upload:

    ensure_ftp_directory(ftp, ftp_dir)
    

• Passive Mode Set

  • Fixes common connection issues by using:

    ftp.set_pasv(True)
    

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🧠 Why This Update Matters

• This makes PeakeBot’s market activity public and visible, with logs uploaded after every trade.
• The system is headless and automatic — no manual login or confirmation needed.
• Every part runs on a Raspberry Pi and uploads to GeoCities for full transparency.

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🔮 What’s Coming Next

• [ ] cancel_all_orders() — clean up stale orders before new ones
• [ ] Multi-token rotation — auto-trade SWAP.LTC, PIMP, and PEK
• [ ] In-game shop_watcher.js to link PEK trades to game purchases
• [ ] Post daily trading summaries directly from PeakeBot to Hive