In short
Podcast Notes: Raoul Pal: The Journey Man - Episode: Shaking Up Financial Markets With Decentralized Derivatives
Podcast Overview
- Title: Shaking Up Financial Markets With Decentralized Derivatives
- Description: Ash Bennington interviews Barney Mannerings, founder of Vega Protocol, about how decentralized apps and exchanges could transform trading derivatives into a more efficient, equitable, and fair process.
Key Themes
- Decentralized Finance (DeFi): A rising interest among crypto investors as traditional lending platforms face bankruptcy.
- Efficiency in Derivatives Trading: The potential for decentralized applications to create fairer trading systems.
- Barriers in Traditional Finance: Challenges that slow down innovations in finance, contrasted with the rapid evolution in DeFi.
Episode Highlights
Introduction to the Guest
- Barney Mannerings: Founder of Vega Protocol, background in traditional finance, specifically in trading systems and the London Stock Exchange.
Barney's Journey in Finance
- Traditional Finance Experience:
- Nearly 15 years working with investment banks and building trading systems.
- Focus on improving the matching engine at the London Stock Exchange, emphasizing the importance of reducing latency to increase transaction speed.
Understanding Trading Systems
- Matching Engine:
- Connects buyers and sellers in a market, optimizing for the fairest prices.
- Discussion of how orders are processed in a centralized limit order book (CLOB) system.
- Order Book Mechanics:
- Price-time priority: Orders are filled based on the best price and order time.
- Matching process explained: How trades occur when buy and sell orders intersect.
Transition to DeFi
- Motivation to Move to DeFi:
- Interest in faster innovation and the desire to create fairer financial markets.
- Early investments in Bitcoin and Ethereum fueled passion for decentralized systems.
Vega Protocol and DeFi Market
- Vega's Purpose:
- Aims to improve efficiency in derivatives trading by creating a decentralized platform.
- Highlights the need for a hybrid model that combines strengths of both order books and automated market makers (AMMs).
Challenges in DeFi
- Current State of DeFi:
- Discussion on how some existing DEXs (like Uniswap) have limitations in price formation.
- Need for a more robust method of price discovery compared to current liquidity pools.
Market Dynamics
- Liquidity Pools vs. Order Books:
- Liquidity pools do not collect orders but instead use formulas to determine prices based on asset ratios.
- The potential for a hybrid approach to enhance trading efficiency and effectiveness.
Barriers to Entry in Financial Markets
- Pros and Cons:
- Discussion on the necessity of barriers to prevent fraud while allowing for innovation.
- Governance role in curation of markets to avoid scams in DeFi.
Final Thoughts
- Looking Forward:
- Expectation that innovative DeFi solutions will address real-world use cases.
- The belief that Vega can disrupt predatory practices in traditional financial exchanges by reducing fees and barriers.
Key Takeaways
- The evolution of financial markets is shifting towards decentralized solutions that prioritize speed, efficiency, and fairness.
- Understanding the mechanics of both traditional finance and DeFi is crucial in navigating current market opportunities.
- Innovations in blockchain technology will likely pave the way for more equitable financial systems.
Call to Action
- Encouragement for listeners to stay informed about developments in DeFi and consider involvement in emerging platforms like Vega as they continue to evolve.
Episode Resources
- Sponsor: Origin Dollar - a DeFi stablecoin offering yields on stablecoins without high gas fees.
- Further Learning: Sign up for Real Vision Crypto for more insights into the evolving financial landscape.
Conclusion
- The episode provides deep insights into the future of trading derivatives and the potential impact of decentralized finance on traditional markets, highlighting the need for ongoing innovation and adaptation in financial systems.
Written by AI. May contain mistakes. Listen to the episode to check what was said.
Transcript
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2:27what's going on guys welcome to the real vision crypto daily briefing i'm ash bennington i'm joined today by barney mannerings founder of the veda protocol barney welcome to the show thanks thanks for having me ash your first time on we're uh we're thrilled to have you here great i'm really excited to be here today you know barney you and i were talking a little bit offline about your background in the traditional finance world tell us a little bit about how you got into the traditional finance space, your background and what you did there. Yeah, sure. I started my career as a computer scientist, really went into kind of technology and management consulting in TradFi in London, working with investment banks and other sort of cap markets companies on trading systems and stuff.
3:11I spent two and a half years at that time working on the core matching engine and related stuff at the London Stock Exchange, worked with a number of big sort of top tier investment banks, built trading systems. Yeah, just sort of did that stuff really in traditional finance for nearly 15 years across different projects and sort of spent a lot of time working with traders and building trading systems. You know, it's interesting, Barney, you and I started our careers in very similar ways, although you went much deeper than I did. I started out doing management consulting and IT, spent some time at some investment banks, Credit Suisse and others.
3:44Talk a little bit about what you did at LSE, because it sounds like you were very granular in building that exchange's matching engine. Talk a little bit about for folks who may not know what that means and why it's so critical in terms of the functionality required to trade stock. Sure. So I started working on that project after the first several releases of the matching engine were already light. And matching engine is the sort of critical piece of the puzzle that connects buyers and sellers. And on a liquid market, on an order book-based exchange, you basically many times a second you're taking in all of the updated orders from both sides and you're basically looking for places where buyers and sellers are crossed where they someone wants to sell for a price that's lower than or equal to what someone wants to buy and you're trying to optimize for making the most amount of trading happen at the fairest prices and so there's really sort of two things i did one was work on some improvements that we were making to improve the latency to reduce the latency to allow more and more transactions who processed a second to reduce the time from sending a transaction in to getting out the information about whether or not you made a trade.
4:53So we sort of brought that down I think from four milliseconds to sub one millisecond. And then the other thing that I was involved with was adding some new features to the exchange. We were looking to onboard sort of white labeling the software and onboard at different products and different other exchanges around the world to the same platform. So we were looking at things like yield based bond trading we were looking at things like derivatives we were looking at things like constrained order books with um minimum execution size orders so i can say like i want to trade a thousand let's let's unpack some of these details for folks because not everyone has actually working in traditional finance so let's talk a little bit about the way these systems work the way a limit order book works the way that orders get uh matched and executed because i think it's really critical for people to understand uh the mechanics of what's happening behind the scenes uh when they for example go up to their robin hood account or their e-trade account or their chuck schwab account and enter an order on a limit basis or at market let's talk a little bit about how that functionality works and how that crosses with what you were doing at lse sure um so when you enter an order what you're basically doing is adding your order to a big list of all the other orders and we have a thing in in sort of tradify in clob central limit order book world which we tend to to sort of generally try to respect in terms of fairness which is we call it price time priority.
6:09And what that basically means is that like, if I'm offering a better price than you, then I get priority over you. So if I'm willing to sell something for a hundred dollars and you're willing to sell it for$90, you're offering a better price to the market. So you get considered first. So highest bid, lowest offer. Exactly. That means that basically no one ever gets ripped off. Everyone always gets the best price is what they get to trade with first. And then time priority means that if you come in before me and say i'm offering you know a hundred dollars and i come in later you get to trade first so it effectively says that whoever's there first gets the first bite um there are other things that can play into it but those are the key things and so what you're really doing is you can pretty much just imagine these orders as a list or as a pile of post-it notes on on a whiteboard or something right kind of writing down the price and putting them in order and adding them and reshuffling around so they're always kind of sorted so you know the buys that are the highest price and the cells are the lowest price are kind of going to the top of the list and then really what you're doing is you're taking the two things at the top and saying can these trade together right so like if i have a buy that's priced at 100 and the best sell is 120 you can't make a trade because the buyer doesn't want to pay more than 100 and the seller doesn't want to pay less than 120.
7:24so in the middle is a gap and that's called the spread so on a normal order book when you look at it there's always a spread because it means all of the things that can trade have traded so now there's a gap between best buy and the best sell price that's the bid and ask bid ask spread and then the effect what happens is someone comes in with an order and says actually I really want to buy this this this is all all the memes in my twitter thread twitter feed are just naming this thing and I've just got to have it now so you know I'm going to put an order saying 130 and now what we're going to do is we're going to take that order and you know say it's from a thousand you know thousand of the stock or of the coin or whatever it is you're going to look at the first thing at the top of the list and say okay they're offering at 120 so we're going to match them that's the matching of the matching this 130 matches with that 120 and it takes executes it takes the volume and you'll hear the terms maker and taker right so the maker is the person who sat there on the order book saying i'll sell for 120 and the takers the person has come in at 130 and said i'll take you 120 but the interesting thing is of course the maker might only be offering 100 of the of the thing at 130 but you might have tried to buy a thousand so once we once we've done that trade we keep looking down the list is there anything else which i can trade with maybe there's another person 130 offering another 100 or maybe someone's offering 100 125 and that can still match so you basically keep applying that rule of like are these things cross do they match can they make a trade which both are happy with until you've gone down and there's and you're back to a place where there's a spread again but they're not overlapping so now you're back to a situation where maybe I was only able to get 500 of my thousand so now I sit on the order book at 130 and the other side now has been eaten away all those all those uh offers at 120 and 125 have been eaten away by my 130 trading against them so now maybe the best offer is 135 so you can see the price has moved up, the spread has moved up, the bid and ask has moved up, my 130 is on the book, 135 up here is on the book, they're no longer crossed and so now the market has moved.
9:29You've made some trades, the market's moved and the whole process just continues to repeat every time someone sends a transaction and they either add an order, they delete an order or they reprice their orders to an amendment or something. And so that's the process the matching it does. It does it, you know, like I said, we were working at like one millisecond latency, so a thousand times a second things are now well below that into the microseconds and tens of thousands of times a second perhaps. So you do this thing super rapidly, taking into account all of that data from all the orders in the market.
9:56And that's kind of how price formation happens on a limit order book. And my job was effectively to improve that limit order book in a number of ways, allowing different products to be added, improving the speed, improving certain other aspects of features that were available to users, different order types and things like that. Barney, I'm so glad you described it because I think it gives people a sense of where and how price discovery comes about in a market. You talked about the depth of the market. You talked about all of these sort of critical ideas that you need to understand how a centralized limit order book works and how price discovery happens in the equity markets.
10:27I guess my question for you, Barney, is why DeFi? What was it that got you interested in it? What got you excited about it? Obviously, you had a very lucrative career. You could have continued doing this for the next 25, 30 years if you wanted to what was it about defile that made such a compelling uh sort of case to you that made you want to come into this side of the industry yeah i mean so i mean part of it is the sort of the type of person i am i'm a technologist i'm interested in innovation and building things and moving fast and moving things forward and you know one of the interesting things about finance is that doing that is like glacially slow like it's really hard to move things forward fast in finance because the size of the organizations, the amount of kind of sort of regulatory capture they have, the amount of difficulty for new entrants to come into the marketplace.
11:19So I think, you know, a couple of things happened. One, I was interested in maybe starting something or being part of something smaller. And when I met my co-founder, Ramsey, that was something that really resonated with me. But the other thing was that when Bitcoin turned up, I was sort of excited by that and started doing a bit of mining. Didn't really see myself working in Bitcoin. I mean, that's just an asset, right? And then ended up investing in a very small amount into the pre-sale of Ethereum as well. And that was where I started to get excited because it was like this decentralization.
11:51If I can apply this not just to the assets, but actually to the protocols, if you like, the products, the things that people do with financial assets, then that's super interesting because all these things that i've been used to building and i've built in the past that have been incredibly closed off and only available to a select few and very slow moving suddenly now that opens them up to everyone and i think that's exciting to me because it's exciting to be able to build something for the future and something that's fairer but it should be exciting to everyone because the amazing innovation that happens on the internet and happens because of technology happens because people who maybe don't have huge amounts of money and massive corporate backers and huge teams find something and like dig their claws into it and make something incredible you know even um every product that's really gone anywhere has started small it started with little innovations and i think finance has been missing that and to enable that and also create more fairness and openness on a kind of you know global scale is something that's just always been very exciting so you know really this sort of crypto and defy really spoke to me in that way enabling innovation creating a sort of fairer marketplace and frankly working with traders and looking at the organizations they're in and seeing them charge tens or hundreds of times really the spread or the commission or the fee that would be justified by the cost of what they're doing to small businesses and individuals for accessing financial products and markets when you see that you eventually kind of get sick of it you kind of think you know it would be nice to change this and make it so the small businesses were not just handing money hand over fist to these organizations and same with even you look at things like visa and mastercard and the fees they charge for payments.
13:30It's like, why do we put up with this? We have a tax on everything we buy. There must be a better way. And so I think feeling like that for a while after working in Tradify and then seeing the beginnings of a potential solution, which we're still figuring out how to make it work and how to fit it in with everything else in society. But seeing those beginnings and seeing the opportunity to get involved there and maybe build something with kind of real world utility was what sort of dragged me across the fence. Right. So you were early to Bitcoin, earlier to Ethereum, you began to see this framework for where you could see improvements happen to the way that the financial services ecosystem works today.
14:07As you say, it serves essentially as a tax on every transaction that takes place over it above the sort of equilibrium price of actually clearing them. You mentioned the DeFi space. When you surveyed it, when you looked out across it, what did you see that you thought needed to be fixed? What did you think needed to be improved? And why does the world essentially need another DeFi platform? I think it's probably one of the questions that people who are watching this show may have. Sure. I mean, the first thing to say is actually when we started, I'm not sure if DeFi was even a term. It was kind of like, there were a lot of nebulous concepts there.
14:43We had DEXs just beginning. We had things like EtherDelta. Many of these DEXs had like off-chain order books, on-chain settlement, which was kind of not all that decentralized. and some of them got in trouble for not being all that decentralized a little bit. And so for the first thing is sort of things were not where they are now, but also I actually looked at the spot decks as, you know, things like EtherDelta and thought, well, someone's going to figure this out soon and we'll have a really solid, you know, maybe hybrid order book based spot solution. And actually we sort of, we're halfway there because we have kind of things like Uniswap iterating towards eventually having something like an order book with B3, but maybe haven't made progress as fast as I would have expected.
15:21then because we actually looked at that and said, yeah, everyone's going to figure this out. So what do you see is currently, because Uniswap you mentioned is something that I think many of our viewers and listeners are familiar with. What do you see the challenges being with the current state of Uniswap and their development roadmap moving forward in terms of the opportunities you see? Yeah. And I think, look, there's, we talked a minute ago about price formation and how the order book enables that. And yeah, so if you think of an order book, what it actually is, It's a way of collecting all this information from the market and using it to form as efficiently as possible a view of the correct market prices.
15:57Now, the original Uniswap and other sort of CFMMs and bonding curves are sort of the opposite of that, which is to say you kind of collect almost no information up front and then let some extremely basic formula evolve the price. Can you explain that a little bit? Because I think people often get confused about understanding the difference of price formation in a centralized limit order book versus a liquidity pool. Yeah, absolutely. So how a liquidity pool works is instead of having all these orders, which represent real traders saying, I am willing to trade for this. And those orders on a limit order book, they move in price.
16:32So as information is revealed, both through trading in the market, but through news and other things, people will reprice those orders. and so the what's available to you on the market changes as the market assimilates new information when you have a uniswap style curve what you actually do is you just have these two pools you have pool of asset a and a pool of asset b and the goal is basically to have a formula that says every time someone wants to buy something work out how much of you know asset a to take to give you some amount of asset b or vice versa and the goal is like every time someone keeps buying one asset for the other, you keep giving less of the one they're buying and taking more of the other.
17:11Right. So like, can you give an example of that? Cause I think it's hard for some people. If, if, if I have 10 ETH and 10 USD and you want to buy some ETH, if I just give you one price and never change it, then eventually all of the, all of the ETH will run out and there'll be none left. But if every time someone buys it, let's say a simple thing is every time someone wants by ETH for a US dollar, I halve the number of ETH I'm going to give them. So, you know, I give them five ETH and the next time I give them two and a half. Next time I give them half of that. If I always do that, I will never get to zero, right?
17:43I'll get to an infinitesimally small number, but I'll never get to zero. And that's basically the trick that these CFMMs play. The ratio between the size of the... What's that acronym for people who may not know? Constant Function Market Maker. So they are just trying to sort of maintain the output of a mathematical function to be the same. and by doing that they just allow that kind of thing which is you can think of it like that halving of the amount they give you so they can never get to zeros but like you've ever heard of xeno's paradox if you always only make it half the way to the end of the race you'll never finish the race so if you always only ever give some percentage of what's left in the pool to someone you know the ratios the pools will change the prices will change but you'll never run out you know and of course sir pacey um xeno that that does happen when you shoot an arrow across the room it does manage to of course transition across a an infinite amount of space in terms of infinite number of subdivisions in a finite amount of time yeah exactly and and you know that's kind of like sort of maybe gives a clue to the fact that actually applying this model is not really how prices evolve what it is doing is it's giving the algorithm a way to never run out entirely of the assets and effectively what happens is the price will evolve and as long as you've got another market somewhere else.
18:56Let's say you have a centralized exchange or a DEX with an order book. As long as you've got another market to arbitrage against somewhere else, the price on this incredibly naive function will eventually converge with the other market because people will arbitrage it. They'll keep buying one or the other until the price offered is no longer attractive. And every time one moves, people will come and arbitrage it away, which means if you're a liquidity provider on there, you have this thing called impermanent loss, which is possibly not very well named but it basically means all of the mispricing that's going on in that uh in that pool is basically occurring to you as an lp so what you actually end up i think of unrealized loss is just a you know a way of saying uh excuse me impermanent loss is just a way of saying unrealized loss or gain yeah pretty much and it's only sort of unrealized as long as you don't take your money out of the pool and realize it because right the reality is that it's sort of there um And the way that you deal with this actually is the way to change the price without that happening is to change the ratio of the pool.
19:53So effectively, if I put more of the ratio between the assets in the pool, it gives you the price. So if there's 10 in the pool and$100, then it's$10 an eph because that's how that ratio would give you the price. So if you think the price in the pool is wrong, you can commit liquidity or you can take your other liquidity out and commit new liquidity to get the ratio to the price you think is right. So it's just a function of the ratio of what's been deposited. And if you leave in either direction, you can deposit if you think it's. Yeah. And it doesn't give you this. Unlike an order book, which allows people to express different price levels, like I'm willing to buy this much at this price, this much at the other.
20:29It just has the ratio. If this, if this pool was happening on a centralized exchange with one millisecond latency, what everyone who was a liquidity provider would be doing is rapidly updating their ratio to try and avoid arbitrage as taking their, taking them for a right basically to try and reduce their impairment loss so so the ratio basically implies a price exactly on a liquidity pool and based on the ratio of the split it implies a price whereas in a limit order book the price is stated explicitly let me ask you this this is just how i think about it maybe i think about it wrong but i think about the the differences between uh limit order books and liquidity pools is being driven by uh an advantage uh on the defy side and a disadvantage on the DeFi side.
21:08Obviously, there's higher latency with these on-chain liquidity pools. And so you can't enter and cancel orders as rapidly as you could in a liquidity pool. But you do have the ability to essentially, in a decentralized way, commit to a liquidity pool from a smart contract basis. So the challenge with when you have a limit order book, you're just expressing essentially an indication of willingness to buy or sell at a given price point, but you're not actually you're not actually hypothecating or isolating that asset whereas you can do that under a smart contract that's just the way i think about it how these sort of co-evolved in different directions yeah sort of sort of i think i mean but there's nothing to stop um you know a smart contract allowing people to commit the asset and to have those you know order books and the limit order book i think you know with with chains like ethereum that's probably too expensive to do right but actually another way to think of this you know So in the limit, as the chains get faster and cheaper, and as you get innovations like the ranged liquidity on Uniswap v3, you approach the same functionality as an order.
22:13And when you end up, you know, our hypothesis is we will end up with on-chain order books and hybrid order books, where actually you can both commit sort of ranged algorithmic liquidity and direct orders, depending on your price sensitivity, how much liquidity you want to pay, what makes the most sense. Can you give us an example of that, Barney? Yeah. So the example would basically be, instead of thinking like I either go to an order book or I go to an AMM, you just say I can go to a thing that is both. And when I want to trade, it will just take the sort of average blended best price of both.
22:45So, you know, you can sort of imagine both having the order book liquidity and the AMM curve just being in the same sort of pool in the same trading venue and the trading venue, if you like, or the decks rooting between those to give you the best price. the thing i think is really interesting about um amms is that they're very useful in lower liquidity situations so the big downside of order books is that someone has to decide on the price right and someone has to run probably an algorithmic trading bot that takes in some data and decides the price and manages risk and they need to maintain those parameters and check the risk and look after it so maybe it costs two hundred thousand dollars a year maybe it costs more maybe less but you know you're maintaining that you have a person sat at a desk doing it if I just want to launch a pool and launch some new meme coin and just have some liquidity there and let people trade, that's a big barrier to entry.
23:36And so actually one of the biggest pluses of things like Uniswap is the completely low barrier to entry. So I'm going to deploy this pool with some liquidity. And this is why I think hybrid is so interesting, because you will start off a new market, will start off most likely as a pool with liquidity because no one needs to really sit there all day monitoring it. And so if it doesn't do lots of trading volume, it could still be profitable to launch that pool. Then as something becomes very big and well-traded and there becomes very liquid price formation, what you'll find is that whether or not they're LPs adjusting Uniswap curves or placing orders, they're going to want to manage that actively to make the most money.
24:11And you see this on Uniswap D3. The best traders and LPs who make the most money constantly adjust their liquidity. Let's just say, for people who may not know, AMM is automated market maker. LP is liquidity provider. I talk about the distinction between liquidity providers and traders as you see it under the current DEX model. Yeah, sure. Liquidity providers are just a form of trader, I think, but usually ones who maybe get rewarded for taking on that role. So, you know, market maker is literally just a description of a trading strategy. So a market maker is someone whose trading strategy is to provide prices to people for them to take and to make the spread.
24:49So, you know, earlier we talked about that spread. We've got the kind of the best offer and the best bid. you know someone's bidding 100 someone's offering 120. If people if you know let's say retail traders come in one retail trader buys for 120 off of the person offering at that one retail trader sells for 100 to that other person then someone has made 20 there because the sellers are selling for less than the buyers are buying so everything you see on the order book is kind of inverted when you think of the flow the retail trading coming in so if you're a market maker what you do is you make that spread and you make a profit doing that now the LP the liquidity provider role in DeFi is basically the idea that you formalize being kind of a market maker and that's whether you're on one of these sort of AMMs like Uniswap or whether you're on an order book you kind of formalize being a market maker and create the ability to commit liquidity somehow and you know it works very differently on an order book based decks like Vega to how it works on an amm dex like uniswap but the the key thing is the same you're committing liquidity you're committing to enabling people to trade against you and to get offering that liquidity and as a result you're usually receiving some kind of benefit maybe some revenue from the fees maybe some tokens that the dex is issuing or something like that and so the goal there is to say to have a good marketplace you want market makers so the protocol should incentivize people to offer their liquidity to the users on that dex and if it does that well there will be good liquidity and people will want to use that.
26:17I want you to move on to some questions because we've got them coming in from our viewers right now. This is a really interesting question from Paul on the Real Vision website. Paul asks, is there any situation where a barrier to entry would be a positive thing? Interesting spin there. Do barriers to entry serve any purpose in a marketplace in your view? Yeah, I think so. Firstly, if we look at the downsides of no barriers to entry, it's very easy for anyone to create a token and to say this is Chainlink's token or this is USDC you know in the smart contract Ethereum and actually it's not it's a fraudulent token they just made up this morning and then it's pretty easy for them to go and deploy a Uniswap pool and then to send links to that pool around in Telegram and maybe collect some money from people who didn't check that actually this was all fraudulent now Uniswap sort of ended up has responded to all of that for a long time by sort of controlling how what they list on their front ends doing a bunch of different things but ultimately you have this sort of situation we have no barrier to entry to create the market no barrier to entry to creating the assets and so now fraud is easier and customers have a difficult time so I think actually you know in fact we see that problem even worse because Vega is a derivatives platform instead of being forged in assets it's like forged in oracles and if you think it's hard to investigate whether or not this addresses the right erc20 token wait till you try and investigate an oracle contract so right you know on vega we've actually taken the approach of saying token holders have a governance role in curating that so the barrier to entry is not technical anyone should be able to do it and it shouldn't be financial the idea is you shouldn't need a lot of money if your proposal for a market is a good one if you're doing something sensible but actually there does need to be a curation role somewhere to try and avoid um sort of fraud try and avoid some of the more disreputable things that make a market base difficult to trust.
28:05And the thing I'd say is I'm not sure whether having governance in the long term would be the right idea, whether it should be more open. I don't know whether there's a better way to curate this. Like we're trying with the governance to begin with, because we really want to create something real world useful and avoid something that becomes a magnet for scams. But, you know, how the best way to do that is we thought we had to do something to start off with, to give that little barrier to entry and keep the voucher entry as small as possible, but to put something there to say, actually, it's not so easy that it becomes like, you know, Gmail spam, where like 99 out of every 100 things on there are actually a scam.
28:41Marty, I really appreciate you coming on and discussing this mechanics of the way that DeFi functions in such great depth, and to give people an understanding of how you see the world in terms of the future of DeFi. Incredibly interesting. Final moments we have left. Final thoughts, key takeaways that you'd like to leave our listeners and viewers with. Yeah, so key takeaways, as we talked about, I think really good price formation and really affordable and good quality on-chain trading is what will allow DeFi indexes to take on the same use cases as TradFi. And that's really why we founded Vega was so that we could kind of go after those predatory tactics, those existing exchanges.
29:19We could reduce the fees, reduce the barriers to entry and enable innovation. I think there's loads of really cool platforms coming on like next-gen blockchains, app chains like Vega, where I think in the next year or two, we're going to start to see DeFi that's not just kind of a bit of a curiosity within the crypto world, but actually starting to address some real world use cases. That's what super excites me about the launch that we're in the process of right now in Vega. And that's why we're here doing this. Hey, Barney, thank you so much. I really appreciate it. You bring an incredible depth of experience to this, both on the TradFi side and on the DeFi side.
29:51very much appreciate you coming on the show. Thanks, Ash. It's been great to be here. That's it for today. Remember to sign up for Real Vision Crypto. It's free. Go to realvision.com forward slash crypto. That's realvision.com forward slash crypto. Join us again tomorrow when we have the founder of Socket Supply with us. See you at 9 a.m. Pacific, noon Eastern, or 5 p.m. in London. Thanks for watching, everybody. Have a great afternoon.
30:22today's episode of the real vision crypto daily briefing is in partnership with origin protocols origin dollar put your stable coins to work
From the publisher
Today’s episode is sponsored by Origin Dollar: With U.S. inflation still at 5% and multiple CeFi lending platforms bankrupt, DeFi protocols that earn interest on stablecoins are once again back on crypto investors' minds. See here for more details: http://realvision.com/origindollar
We look at how one protocol aims to be the bridge between traditional finance and DeFi. Ash Bennington is joined by the founder of Vega Protocol, Barney Mannerings, to discuss how trading derivatives could become more efficient, equitable, and fair through the use of decentralized apps and exchanges.
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