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Online Trading Defi Flash Loan

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Trading on a bot with flash loan

Let’s See How It Work

Tabular view of trading on a bot with flash loan and smart contract on a crypto exchange using Aave


Note:
This is just a simplified example, and the actual process of trading on a bot with flash loan and smart contract on a crypto exchange using Aave may vary depending on the specific implementation and configuration.
It's also important to note that flash loans can be risky and should only be used by experienced developers and traders who understand the potential risks involved.

  • Show 1-4
  • 5-8
Scans
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1

Scans the market
  • The trading bot scans the market for an opportunity to make a profitable trade.
Opportunity
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2

Opportunity is identified
  • Once an opportunity is identified, the trading bot borrows a large sum of cryptocurrency through a flash loan from Aave.
Borrowed
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3

Borrowed cryptocurrency
  • The trading bot uses the borrowed cryptocurrency to execute the trade on the exchange, taking advantage of the favorable market conditions.
Profits
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4

Profits from the trade
  • The profits from the trade are then used to pay back the flash loan, along with any associated fees
Remaining
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5

Remaining
  • TheRemaining are then deposited into the trading bot's wallet.
Smart
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6

Smart contract governing
  • The smart contract governing the trading bot's activity on the exchange ensures that all transactions are executed in a secure and transparent manner, with no possibility of fraud or manipulation .
Continues
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7

Continues to monitor
  • The trading bot continues to monitor the market and repeat the process, using the profits from previous trades to fund future transactions..
Receives earnings
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8

Sends the earnings on your wallet
  • The bot sends the earnings on your wallet and at the same time we send you the bot activity report which is an official secret, and you should not share it with anyone.

 

Online Trading Defi Flash Loan

 



Example last trading session customers dashboard

trading session customers dashboard


Example last trading session customers dashboard

trading session customers dashboard