🛠️ PeakeCoin Project Update — April 30, 2025

As of today, we’ve made steady progress on multiple fronts in the PeakeCoin ecosystem — including automated trading, blockchain monitoring, FTP-powered AI requests, and integration with the Scala (XLA) blockchain. Below is a breakdown of where we’re at and what’s coming next.

✅ 1. Hive Engine Trading Bots

We’ve successfully deployed multiple bots on Hive Engine that automatically trade using real-time order book data and active key signing.

🔁 Bots Currently Running:

hive_trading_bot.py — Trades SWAP.HIVE using a 1% spread with FTP log uploads.
matic_trading_bot.py — Trades SWAP.MATIC under the paulmoon410 Hive account.
peakecoin_bnb_bot.py — Lightweight bot for SWAP.BNB, optimized for fast iteration.

These bots rely on:

fetch_market.py – Fetches current top-of-book bid/ask prices.
place_order.py – Uses Hive’s Custom_json operation to place buy/sell orders securely.

📂 All logs and scripts are backed up to GeoCities FTP via ftp_upload.py.

🤖 2. FTP-Powered AI Request System

We’ve built a system to run on-device AI using the HuggingFace DistilGPT2 model. The script (peakecoinai.py) does the following:

Polls /ai_requests on our GeoCities FTP.
Processes incoming prompts locally.
Uploads generated responses back to FTP every 30 seconds.

This creates an offline-capable AI input/output loop, perfect for low-resource environments.

🔍 3. Scala (XLA) Blockchain Explorer

The scan_xla_blocks.py script is now live and scanning recent blocks on the Scala (XLA) blockchain:

Connects to http://remote.one.scala.network:11812/json_rpc
Pulls latest block heights and transactions.
Prints and logs transaction hashes from the last 10 blocks.
Uses flush=True to ensure logs print even under passive runtime environments.

This is helping us better understand on-chain activity and prep for future PeakeCoin cross-chain actions.

🔄 4. Experimental Arbitrage Logic

Our lightweight trade_loop.py is testing real-time dynamic trading for SWAP.HIVE, updating pricing logic every 60 seconds and placing both buy and sell orders at ±1% spread. This is a foundational step toward eventual cross-token arbitrage.