What we're using to make the plug and play trading bots for all platforms.
uni_blank.py
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
# Hive account details (fill in before use)
HIVE_ACCOUNT = "" # <-- Fill in your Hive username
HIVE_ACTIVE_KEY = "" # <-- Fill in your Hive active key
HIVE_NODES = ["https://api.hive.blog", "https://anyx.io"]
TOKEN = "SWAP.TOKEN" # <-- Fill in your token symbol, e.g., SWAP.BTC
DELAY = 1500
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 smart_trade(account_name, token):
try:
print("\n==============================")
print(f"[TOKEN BOT] Starting Smart Trade for {token}")
rc_percent = get_resource_credits(account_name)
if rc_percent is not None:
print(f"[TOKEN BOT] Resource Credits: {rc_percent}%")
if rc_percent < 10.0:
print(f"[TOKEN BOT] WARNING: Resource Credits too low ({rc_percent}%). Skipping trade cycle.")
print("==============================\n")
return
else:
print(f"[TOKEN BOT] Resource Credits: Unable to fetch.")
market = get_orderbook_top(token)
if not market:
print(f"[TOKEN BOT] Market fetch failed for {token}. Skipping this cycle.")
print("==============================\n")
return
print(f"[TOKEN BOT] Market fetch success for {token}.")
bid = float(market.get("highestBid", 0))
ask = float(market.get("lowestAsk", 0))
buy_price = round(bid, 8) if bid > 0 else 0 # Buy at highest bid
sell_price = round(ask, 8) if ask > 0 else 0 # Sell at lowest ask
if buy_price >= sell_price and buy_price > 0:
sell_price = round(buy_price * 1.01, 8) # Add 1% to sell price as fallback
hive_balance = get_balance(account_name, "SWAP.HIVE")
token_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(token_balance * 0.20, 8)
print(f"[TOKEN BOT] Preparing BUY: {buy_qty} {token} at {buy_price}")
print(f"[TOKEN 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"[TOKEN BOT] Skipping BUY: buy_qty is zero or negative. Check HIVE balance and buy price.")
elif duplicate_buy:
print(f"[TOKEN 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"[TOKEN 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"[TOKEN BOT] Open orders after BUY: {len(open_orders)} found.")
else:
print(f"[TOKEN BOT] No open orders found after BUY (may be node delay).")
time.sleep(1)
except Exception as e:
print(f"[TOKEN BOT] BUY order exception: {e}")
min_profit_percent = 0.01
min_sell_price = round(buy_price * (1 + min_profit_percent), 8)
force_sell_price = min_sell_price # Always enforce profit, ignore market ask
if force_sell_price > buy_price 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)) == force_sell_price for o in open_orders)
if duplicate_sell:
print(f"[TOKEN BOT] Skipping SELL: Duplicate sell order at {force_sell_price} detected.")
else:
try:
place_order(account_name, token, force_sell_price, sell_qty, order_type="sell", active_key=HIVE_ACTIVE_KEY, nodes=HIVE_NODES)
print(f"[TOKEN BOT] SELL order submitted: {sell_qty} {token} at {force_sell_price}")
print(f"[TOKEN BOT] Profit percent: {get_profit_percent(buy_price, force_sell_price)}%")
time.sleep(5)
open_orders = get_open_orders(account_name, token)
if open_orders:
print(f"[TOKEN BOT] Open orders after SELL: {len(open_orders)} found.")
else:
print(f"[TOKEN BOT] No open orders found after SELL (may be node delay).")
time.sleep(1)
except Exception as e:
print(f"[TOKEN BOT] SELL order exception: {e}")
else:
print(f"[TOKEN BOT] SELL order skipped: Not profitable or sell_qty is zero.")
print(f"[TOKEN BOT] Trade cycle for {token} complete.")
print("==============================\n")
time.sleep(DELAY)
except Exception:
print(f"[TOKEN BOT] Unexpected error in smart_trade.")
if __name__ == "__main__":
while True:
try:
print(f"[TOKEN BOT] Starting new trade cycle for {TOKEN}.")
smart_trade(HIVE_ACCOUNT, TOKEN)
print(f"[TOKEN BOT] Waiting 10 seconds before next cycle...")
time.sleep(10)
except Exception:
print(f"[TOKEN BOT] Unexpected error in main loop.")
remaining = max(0, DELAY - 10)
if remaining > 0:
print(f"[TOKEN BOT] Waiting {remaining} seconds to complete delay interval...")
time.sleep(remaining)
