許明恩
許明恩

《區塊勢》創辦人|LikeCoin、Desmos 驗證者。寫作當飯吃,目前都有吃飽。也有主持 podcast 節目,錄音是最近的愛。 買酒的速度比喝酒的速度快,家裡沙發底下是酒窖。最愛 Moscato。最遠去過巴西,最驚奇是在亞馬遜河游泳、釣食人魚,兩件事分開做。 沒爬過玉山,單車環島騎到一半,成功泳渡日月潭。以穿短褲上班為傲,衣櫥沒有大格子襯衫。

[Podcast] Quantitative Trading - Data Matching Program to Automate Human Investment

There is an interesting phenomenon in the currency circle. Many entrepreneurs will copy the investment tools in the traditional financial market to the currency circle, allowing investors to trade brand-new financial products with familiar tools.

Quantitative Trading is a very popular investment tool in the financial field in recent years. It uses data as the basis for decision-making and automated trading with programs, attracting many people who would rather learn programs by themselves and try to create their own unique investment strategies.

Like many people, I don't come from a financial background, so this episode I invite two of Bincentive's guests, Cho and Zora, to talk about how quantitative trading works. I really like that they use horse racing as an example in the show, explaining that although quantitative trading strategies are data-driven, they are by no means guaranteed. Come and hear what quantitative trading is all about!

Listening Links: Spotify , iTunes , SoundCloud , Castbox

00:00 What is quantitative trading?

14:00 Common investment methods in the market

27:55 What is the relationship between quantitative trading and blockchain?

37:00 Who is currently participating in quantitative trading?

Further reading:

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