Build a flash loan arbitrage bot
Learn how to profit from flash loans and arbitrage with this advanced course. Build your own arbitrage robot and earn over $100,000 per month. Perfect for beginner blockchain engineers.
What you’ll learn
- Freely execute any kind of flash loans / flash swaps
- Work with any kind of DEXs starting from Pancakeswap to DYDX, and any other custom made exchanges
- Get started making passive income with arbitrage robot that trades on Pancakeswap forks for BSC network
- Complete a cross-chain arbitrage robot for Polygon, BSC, Ethereum and Fantom Opera chains
The top notch flashloan arbitrage robots earn more than $100,000 per month and even more in peak market fluctuations. You have great chance to profit even more, the market is quite big and fair for everyone to join & run their own implementation of trading software (yeet not just trading software – the ultimate flashloan arbitrage robot battle tested in the hursh conditions!)
The course breaks down the following problems:
1) Flashloan arbitrage theory
2) Beating the competition
3) Writing the code for the basic prototype
4) The math algorithm based around Newton formula for values approximation of eequation roots for optimal amount calculation
5) Deploy a BSC node
6) Hostings and public nodes
7) Deployment of the arbitrage smart contract
8) Running arbitrage smart contract
After completing the course you will get a very advanced arbitrage software that covers most of the DEXs in existance. You can use it for any commercial purposes and improve it further after learning how it works from the ground up while building your own arbitrage robot.
You can 100% expect pretty good profits of $100 and more in the first days of running flashloan arbitrage. The course covers the technical architecture very deeply.
The reason that course is sold – to teach the new comers and expand the cryptocurrency arbbitrage topic with new ideas and fresh thoughts.
Who this course is for:
- Begineer blockchain engineers curious about making passive income using their skills
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