6.5K LIFETIME TRADES72 AVG DAILY TRADES$1.02M LIFETIME VOLUME$3.6K AVERAGE USER VOLUME286 LIFETIME USERS
6.5K LIFETIME TRADES72 AVG DAILY TRADES$1.02M LIFETIME VOLUME$3.6K AVERAGE VOLUME286 LIFETIME USERS
6.5K LIFETIME TRADES72 AVG DAILY TRADES$1.02M LIFETIME VOLUME$3.6K AVERAGE VOLUME286 LIFETIME USERS
6.5k LIFETIME TRADES72 AVG DAILY TRADES$1.02M LIFETIME VOLUME$3.6K AVERAGE VOLUME286 LIFETIME USERS
6.5K LIFETIME TRADES72 AVG DAILY TRADES$1.02M LIFETIME VOLUME$3.6K AVERAGE VOLUME286 LIFETIME USERS
6.5K LIFETIME TRADES72 AVG DAILY TRADES$1.02M LIFETIME VOLUME$3.6K AVERAGE VOLUME286 LIFETIME USERS

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MADE BY TRADERS, FOR TRADERS

Chainpal AI was founded by a group of 2017 crypto veterans who, facing the rapidly changing market landscape, took matters into their own hands. They developed their own powerful tools, including fast trading bots and alpha wallet on-chain data analysis, to consistently identify profitable tokens and launches across multiple chains.

Recognizing the deficiencies in existing market tools, especially the lack of security and strategy customization offered by current trading bots, they set out to innovate. Our novel approach fills these gaps, offering enhanced profit security, risk minimization, and tailored strategy execution.

AI ENGINE

Making the impossible a Reality.

Using advanced AI , the Chainpal Bot allows max customization. The TradingBot class manages the balance and holdings, allowing for buying and selling in a novel manner with execution of entire trading strategies with a single prompt, making it easy to automate complex trading.

TradingBot class: manages the balance and holdings.

BUY and SELL methods: deal with purchase and sell of the tokens.

Check_conditions method: checks the current price against predefined conditions to decide whether to buy/sell based on current price.

Trade.py
  1. class TradingBot:
  2.   def __init__(self, balance):
  3.    self.balance = balance
  4.    self.holdings = 0
  5.    self.buy_price = None
  6.   def check_conditions(self, current_price):
  7.    if self.buy_price:
  8.     if current_price >= self.buy_price * 1.5:
  9.      self.sell(current_price, 50) # Sell 50% at 50% gain
  10.     elif current_price >= self.buy_price * 0.7:
  11.      self.sell(current_price, 100) # Sell all at 30% loss
  • # Example usage
  • bot = TradingBot(balance=1000)
  • bot.buy(price=0.003, amount=300)
  • # Buying with $300 at $0.003 per coin
  • bot.check_conditions(current_price=0.0045)
  • # Checking conditions at $0.0045 per coin
  • bot.check_conditions(current_price=0.0021)
  • # Checking conditions at $0.0021 per coin
  • CHAIN

    PALAI