If you've kept eyes on me I've been working on these bots for months. Now I've fixed what I found probematic...
I'm currently working on fixing place_order.py if you're running this. The cancellations aren't returning the correct output. I'll have it figured in no time.
from profit_strategies import get_profit_percent
import time
from fetch_market import get_orderbook_top
from place_order import place_order, get_open_orders, get_balance, buy_peakecoin_gas, cancel_oldest_order
# Hive account details
HIVE_ACCOUNT = "peakecoin"
HIVE_ACTIVE_KEY = "Your Active Key Here" # Replace with your Hive active key
HIVE_NODES = ["https://api.hive.blog", "https://anyx.io"]
TOKEN = "SWAP.PEK"
DELAY = 1500
LOW_RC_CONSECUTIVE_COUNT = 0 # Track consecutive low RC occurrences
DYNAMIC_DELAY = DELAY # Start with base delay
def get_resource_credits(account_name):
try:
import requests
url = "https://api.hive.blog"
payload = {
"jsonrpc": "2.0",
"method": "rc_api.find_rc_accounts",
"params": {"accounts": [account_name]},
"id": 1
}
resp = requests.post(url, json=payload, timeout=10)
if resp.status_code == 200:
data = resp.json()
rc = data.get('result', {}).get('rc_accounts', [{}])[0]
if rc and 'rc_manabar' in rc and 'max_rc' in rc:
current = int(rc['rc_manabar']['current_mana'])
max_rc = int(rc['max_rc'])
percent = round(current / max_rc * 100, 2) if max_rc > 0 else 0.0
return percent
except Exception:
pass
return None
def get_total_orders_from_orderbook(account_name):
"""Fetch total order count from buyBook and sellBook (more reliable than openOrders)"""
import requests
try:
combined = []
nodes = ["https://api.hive-engine.com/rpc/contracts", "https://herpc.dtools.dev", "https://engine.rishipanthee.com/rpc"]
for node in nodes:
try:
for table in ("buyBook", "sellBook"):
payload = {
"jsonrpc": "2.0",
"method": "find",
"params": {
"contract": "market",
"table": table,
"query": {"account": account_name},
"limit": 1000
},
"id": 1
}
r = requests.post(node, json=payload, timeout=10)
if r.status_code == 200:
res = r.json().get("result", [])
if isinstance(res, list):
combined.extend(res)
if combined:
return len(combined)
except Exception:
continue
return 0
except Exception:
return 0
def smart_trade(account_name, token):
global LOW_RC_CONSECUTIVE_COUNT, DYNAMIC_DELAY
print("\n==============================")
print(f"[PEK BOT] Starting Smart Trade for {token}")
# CHECK TOTAL OPEN ORDERS using orderbook (more reliable than openOrders table)
open_count = get_total_orders_from_orderbook(account_name)
print(f"[PEK BOT] Current total open orders (from orderbook): {open_count}")
# If severely maxed out (200+), cancel multiple oldest orders
if open_count >= 200:
print(f"[PEK BOT] šØ CRITICAL: Account maxed out with {open_count} orders! Cancelling 3 oldest orders...")
for i in range(3):
try:
cancel_oldest_order(account_name, None, active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[PEK BOT] Cancelled oldest order {i+1}/3")
time.sleep(2)
except Exception as e:
print(f"[PEK BOT] Failed to cancel order {i+1}: {e}")
print(f"[PEK BOT] Skipping trade cycle to allow orders to clear.")
print("==============================\n")
return
# If approaching limit, cancel one oldest order (any token)
if open_count >= 195:
print(f"[PEK BOT] ā ļø SELF-REGULATION: Open orders ({open_count}) >= 195. Cancelling oldest order...")
try:
cancel_oldest_order(account_name, None, active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[PEK BOT] Oldest order cancelled. Skipping trade cycle to maintain equilibrium.")
except Exception as e:
print(f"[PEK BOT] Failed to cancel oldest order: {e}")
print("==============================\n")
return
# Cancel oldest order for THIS token ONLY if approaching limit
if open_count >= 190:
print(f"[PEK BOT] Open orders at {open_count}. Cancelling oldest {token} order...")
cancel_result = cancel_oldest_order(account_name, token, active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
time.sleep(2) # Give time for the cancellation to propagate
else:
print(f"[PEK BOT] Open orders at {open_count}. Skipping cancel (below 190 threshold).")
rc_percent = get_resource_credits(account_name)
if rc_percent is not None:
print(f"[PEK BOT] Resource Credits: {rc_percent}%")
if rc_percent < 10.0:
LOW_RC_CONSECUTIVE_COUNT += 1
DYNAMIC_DELAY = DELAY + (LOW_RC_CONSECUTIVE_COUNT * 300)
print(f"[PEK BOT] WARNING: Resource Credits too low ({rc_percent}%). Skipping trade cycle.")
print(f"[PEK BOT] Low RC count: {LOW_RC_CONSECUTIVE_COUNT}. Next delay: {DYNAMIC_DELAY}s ({DYNAMIC_DELAY/60:.1f} min)")
print("==============================\n")
return
else:
if LOW_RC_CONSECUTIVE_COUNT > 0:
print(f"[PEK BOT] RC recovered! Resetting delay from {DYNAMIC_DELAY}s to {DELAY}s")
LOW_RC_CONSECUTIVE_COUNT = 0
DYNAMIC_DELAY = DELAY
else:
print(f"[PEK BOT] Resource Credits: Unable to fetch.")
market = get_orderbook_top(token)
if not market:
print(f"[PEK BOT] Market fetch failed for {token}. Skipping this cycle.")
print("==============================\n")
# Buy smallest increment of SWAP.MATIC at market ask
time.sleep(2)
try:
matic_market = get_orderbook_top("SWAP.MATIC")
if matic_market and matic_market.get("lowestAsk"):
matic_price = float(matic_market.get("lowestAsk"))
place_order(account_name, "SWAP.MATIC", matic_price, 0.00000001, order_type="buy", active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[PEK BOT] SWAP.MATIC buy attempted at {matic_price}.")
else:
print(f"[PEK BOT] SWAP.MATIC market unavailable, skipping buy.")
except Exception as e:
print(f"[PEK BOT] SWAP.MATIC buy exception: {e}")
time.sleep(2)
return
print(f"[PEK BOT] Market fetch success for {token}.")
bid = float(market.get("highestBid", 0))
ask = float(market.get("lowestAsk", 0))
buy_price = round(bid * 0.95, 8) if bid > 0 else 0 # Buy at 5% below highest bid
sell_price = round(ask * 1.10, 8) if ask > 0 else 0 # Sell at 10% above current market ask
hive_balance = get_balance(account_name, "SWAP.HIVE")
pek_balance = get_balance(account_name, token)
buy_qty = round(hive_balance * 0.20 / buy_price, 8) if buy_price > 0 else 0
sell_qty = round(pek_balance * 0.20, 8)
print(f"[PEK BOT] Preparing BUY: {buy_qty} {token} at {buy_price}")
print(f"[PEK BOT] Preparing SELL: {sell_qty} {token} at {sell_price}")
open_orders = get_open_orders(account_name, token)
duplicate_buy = any(o.get('type') == 'buy' and float(o.get('price', 0)) == buy_price for o in open_orders)
if buy_qty <= 0:
print(f"[PEK BOT] Skipping BUY: buy_qty is zero or negative. Check HIVE balance and buy price.")
elif duplicate_buy:
print(f"[PEK BOT] Skipping BUY: Duplicate buy order at {buy_price} detected.")
else:
try:
place_order(account_name, token, buy_price, buy_qty, order_type="buy", active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[PEK BOT] BUY order submitted: {buy_qty} {token} at {buy_price}")
time.sleep(5)
open_orders = get_open_orders(account_name, token)
if open_orders:
print(f"[PEK BOT] Open orders after BUY: {len(open_orders)} found.")
else:
print(f"[PEK BOT] No open orders found after BUY (may be node delay).")
time.sleep(1)
except Exception as e:
print(f"[PEK BOT] BUY order exception: {e}")
# Place SELL order at market-based price
if sell_price > 0 and sell_qty > 0:
open_orders = get_open_orders(account_name, token)
duplicate_sell = any(o.get('type') == 'sell' and float(o.get('price', 0)) == sell_price for o in open_orders)
if duplicate_sell:
print(f"[PEK BOT] Skipping SELL: Duplicate sell order at {sell_price} detected.")
else:
try:
place_order(account_name, token, sell_price, sell_qty, order_type="sell", active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[PEK BOT] SELL order submitted: {sell_qty} {token} at {sell_price}")
print(f"[PEK BOT] Profit percent: {get_profit_percent(buy_price, sell_price)}%")
time.sleep(5)
open_orders = get_open_orders(account_name, token)
if open_orders:
print(f"[PEK BOT] Open orders after SELL: {len(open_orders)} found.")
else:
print(f"[PEK BOT] No open orders found after SELL (may be node delay).")
time.sleep(1)
except Exception as e:
print(f"[PEK BOT] SELL order exception: {e}")
else:
print(f"[PEK BOT] SELL order skipped: sell_qty is zero.")
# Buy smallest increment of token at market price
time.sleep(2)
try:
if ask > 0:
place_order(account_name, token, ask, 0.00000001, order_type="buy", active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[PEK BOT] {token} tiny buy attempted at {ask}.")
else:
print(f"[PEK BOT] {token} market ask unavailable, skipping tiny buy.")
except Exception as e:
print(f"[PEK BOT] {token} tiny buy exception: {e}")
# Buy smallest increment of SWAP.MATIC at market ask
try:
matic_market = get_orderbook_top("SWAP.MATIC")
if matic_market and matic_market.get("lowestAsk"):
matic_price = float(matic_market.get("lowestAsk"))
place_order(account_name, "SWAP.MATIC", matic_price, 0.00000001, order_type="buy", active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[PEK BOT] SWAP.MATIC buy attempted at {matic_price}.")
else:
print(f"[PEK BOT] SWAP.MATIC market unavailable, skipping buy.")
except Exception as e:
print(f"[PEK BOT] SWAP.MATIC buy exception: {e}")
print(f"[PEK BOT] Trade cycle for {token} complete.")
print("==============================\n")
time.sleep(DYNAMIC_DELAY)
if __name__ == "__main__":
while True:
try:
print(f"[BOT] Starting new trade cycle for {TOKEN}.")
smart_trade(HIVE_ACCOUNT, TOKEN)
print(f"[BOT] Waiting 10 seconds before next cycle...")
time.sleep(10)
except Exception as e:
print(f"[BOT] Unexpected error in main loop: {e}")
import traceback
traceback.print_exc()
remaining = max(0, DELAY - 10)
if remaining > 0:
print(f"[BOT] Waiting {remaining} seconds to complete delay interval...")
time.sleep(remaining)
šŖ PeakeCoin Ecosystem
š± PeakeCoin USDT Bridge (Hive ā Polygon/MATIC)
Bridge SWAP.USDT from Hive Engine to USDT on Polygon (MATIC).
Whitelist access, documentation, and bridge status updates:
š https://geocities.ws/peakecoin
āļø HiveP.I.M.P. ā PeakeCoin Intelligent Market Protector
Operated by 
Community liquidity participation strengthens long-term market health.
š Open-source code, bots, and documentation:
š https://github.com/paulmoon410
š° PeakeSino ā The PeakeCoin Casino (Beta)
Blockchain-powered games using PEK as the native in-game currency.
Built on Hive with a focus on provable fairness and community-driven growth.
š Play the beta games here:
š https://geocities.ws/peakecoin/pek_casino/beta_games/index.html
š Acknowledgements
For their continued support, guidance, and help expanding the PeakeCoin ecosystem.