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Frame from Orange Juice Trade - Trading Places Plays via YouTube's privacy-enhanced embed

Orange Juice Trade - Trading Places

wKw
Comedy
YouTube
2 HN users recommended this comedy video2 months2016–2021 score 2
Years with an HN recommendation, 2007–2026

Cited as an accessible depiction of how commodity trading and the trading pit work.

The climactic orange juice futures trading scene from the film Trading Places, in which the heroes corner the market on the trading floor.

“This is still the best (Hollywood quality) depiction of what the trading pit looked like in reality.” (HN, 2021)

3 recommendations · 1 jokes · Comedy

4 Hacker News comments

From the HN archive; up to 20 kept per video, favoring different commenters. Recommendations first.

@thisisit Jun 2017 Recommends
on HN thread Official Response to “Bancor Is Flawed”
Read more
If there was a bad response to a critic, this will be it. While Sirer's post was a bit terse, this response doesn't earn brownie points by going the same route. First, they start off as many "responses" in crypto currency seem to start that is - saying this is all FUD and the critic should stop spreading FUD. They also take the Trump route, not a great choice of words - "fake news". Where I lost them was when they equated themselves as being so important to crypto currency space that critiquing them can be used to tag the whole space as being a giant ponzi scheme. On still persisting, I found their clarification on "asynchronous price discovery" very funny. The point of a market making algo is to "make the market" ie they have to act as counter parties to each trade irrespective of whether there is a buyer or a seller (ie not a price matching algo). The price discovery in that process happens on how the market making algo is written. Though I guess being programmers and writing a document for programmers they had to go with a technical term. But with someone who understands economics on their team, they should have done away with it. All said, the most important part of a market making algo is not to provide liquidity or smooth prices. As Sirer put it, smoothing prices is a bad idea. If something is volatile it is because the market deems it to be so. Going against the market is not good. I hope these guys watch this video carefully to understand how trading works: [this video]
Explains how trading works, aimed at Bancor team.
@thisisit Jun 2017 Recommends
on HN thread Official Response to “Bancor Is Flawed”
Read more
This is the very basic function of a market maker. They offer to "make" a market even when none exists. So if everyone wants to buy they will keep offering until their inventory runs out. I haven't read the Bancor paper or code so I am not sure if this is implemented but every market maker's another objective is to make money. So they normally don't trade on a fair price, rather fair price - x/2 to buy and fair price + x/2 to sell where x is the spread to collect money. So effectively they buy low and sell high for a minute difference. As for a scenario where they have only buyers, the algos or people on the floor tend to take stock of the existing orders and start moving the ask higher to compensate. This happens until it becomes untenable to buy and some sellers start entering the market to make a quick buck. A good video on how trading works from Trading Places: [this video]
Good video on how trading works.
@bmmayer1 May 2021 Recommends
on HN thread Trading Pit Hand Signals
This is still the best (Hollywood quality) depiction of what the trading pit looked like in reality. Trading Places, 1983: [this video]
Hollywood-quality depiction of what a trading pit looked like.

Citations, criticism and jokes

Video list and Hacker News comment labels from HackerTube (prompted by @karpathy), released under ODC-By 1.0, built on the open-index/hacker-news archive. Hacker News data is provided by Y Combinator; comments remain the work of their authors. Video titles, channel names and thumbnails belong to their creators and are shown via YouTube. HackerTube Watch is an unofficial edition. Data export of 2026-10-31.

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