This is honestly above my knowledge I began writing it, and incorporated some chatgpt coding. I'm not that good yet. I'm just learning like most of us. Old dog new tricks.
import requests
import pandas as pd
import time
import logging
# Configure logging
logging.basicConfig(level=logging.INFO, filename='trading_bot.log',
format='%(asctime)s - %(levelname)s - %(message)s')
HIVE_API_URL = "https://api.hive.blog"
def hive_api_call(method, params):
headers = {'Content-Type': 'application/json'}
payload = {
"jsonrpc": "2.0",
"method": method,
"params": params,
"id": 1
}
response = requests.post(HIVE_API_URL, headers=headers, json=payload)
return response.json()
def get_market_history(bucket_seconds, start, end):
method = "market_history_api.get_market_history"
params = {
"bucket_seconds": bucket_seconds,
"start": start,
"end": end
}
response = hive_api_call(method, params)
return response.get("result", {}).get("buckets", [])
def get_signal(data):
data['SMA50'] = data['close'].rolling(window=50).mean()
data['SMA200'] = data['close'].rolling(window=200).mean()
if data['SMA50'].iloc[-1] > data['SMA200'].iloc[-1]:
return 'buy'
elif data['SMA50'].iloc[-1] < data['SMA200'].iloc[-1]:
return 'sell'
else:
return 'hold'
def fetch_data(symbol, bucket_seconds, start, end):
market_data = get_market_history(bucket_seconds, start, end)
df = pd.DataFrame(market_data)
df['date'] = pd.to_datetime(df['open'], unit='s')
df.set_index('date', inplace=True)
df['close'] = df['close_base'] / df['close_quote']
return df
def check_transaction_status(transaction_id, expiration=None):
method = "transaction_status_api.find_transaction"
params = {
"transaction_id": transaction_id
}
if expiration:
params["expiration"] = expiration
response = hive_api_call(method, params)
return response.get("result", {}).get("status", "unknown")
def get_account_balance(account, symbol):
method = "database_api.get_accounts"
params = {
"accounts": [account]
}
response = hive_api_call(method, params)
if 'result' in response:
balances = response['result'][0]['balances']
for balance in balances:
if balance['symbol'] == symbol:
return balance['balance']
return 0
def get_market_orders(symbol, limit=10):
method = "database_api.get_order_book"
params = {
"symbol": symbol,
"limit": limit
}
response = hive_api_call(method, params)
return response.get("result", {})
def buy(symbol, amount, account):
# Placeholder function for buying tokens
# Replace with actual buy logic or API call
logging.info(f'Buying {amount} of {symbol} for account {account}')
transaction_id = "example_buy_transaction_id" # Replace with actual transaction ID
return transaction_id
def sell(symbol, amount, account):
# Placeholder function for selling tokens
# Replace with actual sell logic or API call
logging.info(f'Selling {amount} of {symbol} for account {account}')
transaction_id = "example_sell_transaction_id" # Replace with actual transaction ID
return transaction_id
def execute_trade(signal, symbol, amount, account):
try:
if signal == 'buy':
transaction_id = buy(symbol, amount, account)
elif signal == 'sell':
transaction_id = sell(symbol, amount, account)
# Check transaction status
expiration = "2024-05-21T18:00:21" # Replace with actual expiration time if available
status = check_transaction_status(transaction_id, expiration)
logging.info(f'Transaction status for {transaction_id}: {status}')
except Exception as e:
logging.error(f'Error executing trade: {e}')
def run_bot(symbol, amount, account, bucket_seconds, interval=60):
while True:
try:
end = int(time.time())
start = end - (bucket_seconds * 200)
data = fetch_data(symbol, bucket_seconds, start, end)
signal = get_signal(data)
if signal != 'hold':
execute_trade(signal, symbol, amount, account)
time.sleep(interval)
except Exception as e:
logging.error(f'Error in run_bot loop: {e}')
time.sleep(interval)
# Run the bot
run_bot('BEE', 10, 'alice', 86400) # Example with daily buckets (86400 seconds)
That's really cool @paulmoon410, thanks for sharing.
Any trading bot you know of already?
I don't sorry @paulmoon410 I have done a little bit of coding with the @strava2hive project, but one thing I have not done is the hive buy/sell stuff. Have you seen the beem module that you can import into python...It might help you get where you need to be with this project. https://beem.readthedocs.io/en/latest/
No. I'm just learning using online resources to make what I'm trying to do a little bit easier. If anyone of us can figure out how to create a bot like this it can be resourceful for those who use Hive Engine/Tribal Dex.
I'm going to check it out though for sure. I just fixed all the computers my sons crashed all the PCs with some Garry's Mod Mods. So I'll check it out within the week.
Thank you
Wow, I wish I was able to code something like that! Thanks for sharing it :) maybe one day I will be able to understand it a bit more!
Curated by @arc7icwolf.byte for the Learn To Code community.
!PIZZA
I'm still not sure if it would work though. I get to a certain point and get lost.
Still, it is x1000 times more than I can handle, so even if it doesn't work, to me it looks awesome!
!LOL
$PIZZA slices delivered:
@arc7icwolf(2/10) tipped @paulmoon410
Have a look at https://www.elna.ai/ : bots on ICP
This is interesting and I would like to know more about using bot trading code.
How do I use it and what does it do?
I do a lot of trading and I am exploring ways to send swap.hive to some token holders. Can this code help me place orders on tribeldex and can it retrieve trade data for a list of tokens?
Right now I'm still trying to make it work. I'm at a point where the code seems to function but it's not interacting with hive engine API.