Description

Retail Arbitrage Fast Track by Christie Nachtrab

Retail Arbitrage Fast Track by Christie Nachtrab
5.58 GB | WebRip 57 MP4s + 8 PDFs | Language English | 1280 x 1080 | 160 kb/s , 48 kHZ .| Duration: 3:24:53
Genre: eLearning Net: Marketing
COURSE OVERVIEW
Watch as Christie shows you step-by-step how she went from 100 to 178,000 with Retail Arbitrage by simply visiting local stores, buying products on sale, and reselling them on Amazon for a profit.

Learn Python and Triangular Arbitrage for spotting opportunities in the Cryptocurrency market place unnoticed by others. In this course you will develop the skills and knowledge to:

1. Gain a deep understanding of Arbitrage with particular focus on Triangular Arbitrage

2. Develop with Python the “indie programmer” and fun way for complete beginners
3. Develop with Javascript the “indie programmer” and fun way for complete beginners
4. Establish all traceable Triangular Arbitrage pairs unseen by others
5. Calculate surface rate opportunities across all pairs
6. Calculate real rates for arbitrage with depth
7. Cover the above points in both CeFi (with the Poloniex exchange) and Defi (with Uniswap V3)
8. Pull any data from the web by exploring the Rest API endpoints with Poloniex (transferable knowledge to other exchanges)
9. Read blockchain price information with Web3 and Ethers JS
10. Work with the Uniswap V3 SDK

We achieve this by walking through a “paint by numbers” approach, literally commenting on and exploring nearly every line of code. You will focus on the principles rather than the solution, meaning that you will be able to transfer your new found knowledge anywhere both on centralised exchanges and decentralised exchanges.

You will learn programming the fun and memorable way. Without getting bogged down in information you probably won’t even need.

This is a FAST TRACK course. Meaning you will achieve results early on without having to learn a lot of fluff. We cover important principles, basic programming skills (which will all take you far in programming) and then dive into implementing the logic.

If you know programming concepts, you will find learning easy. However, deep knowledge will be gained by learning how to pull price information and write algorithms to find arbitrage opportunities for potential capital gain.