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Concerns on DeFi

Hello,
Just wanted to share some of my legitimate concerns around decentralised finance with the broader community. To be quite clear - I am a huge fan of Ethereum and DeFi and believe this could lead to the future of finance. However, I do worry if there is a circle jerk within the community that could lead to a lack of adoption in the coming months. I will try and keep this as short as possible. By all means, do understand I am coming from the pov of sharing constructive criticism and not dissing on the efforts of those building.
If you are solving for these problems in particular, please ping me and I'd love to talk further with you
  1. On-ramps The largest problem for much of the developing world is the fact that while DAI can without doubt give dollar exposure, acquiring them is quite a difficult task. In fact if DAI demand goes up substantially in a region, it could have premiums of upto 25% which makes it a bad on-ramp tool without necessary liquidity in place. (check Wazir X p2p USDT rates in India for context). This problem is not endemic to DAI alone but is applicable to stable tokens of all kinds. With regional regulations in nations like Thailand, Vietnam, Indonesia, Phillipines, Malaysia and India not being clear on stable tokens in particular, it becomes an uphill task for developers to build on it. More importantly, it becomes less appealing for the average individual to use. Now typically this wouldnt matter if the point of DeFi was to be a niche project aimed at a small community. However, DeFi has the power to be the first mass market blockchain tool for the world. Consider it to be the "e-mail" or "napster" moment for blockchain based applications. IF we are to scale then on-ramps and off-ramps need to be solved for. This can happen only and if the community begins engaging with regional regulators and exchanges begin providing solutions. In an ideal world, acquiring stable tokens should be as easy as venmo'ing someone $10 dollar and receiving say $9.90 (1% fee) in Incento (incento.io seems interesting, not shilling but do check them out!)
  2. Incumbent Efficiency In order for a system to scale past a certain point, the value add it brings needs to be considerably higher than the incumbent. Depending on the size of the remittance market, there exists multiple payments and wire transfer corridors set up by startups today to solve for quick transfers. In fact during times when a blockchain like those of Ethereum's or Bitcoin's are clogged - transferwise can prove to be a cheaper, better alternative than tokens. This is not to diss on the fact that decentralisation and immutability has a price attached to them, but for the average user today alternatives are far better than token based products. The challenge when it comes to scaling - especially towards L2 is whether products can be incrementally better than their incumbents in exchange for some trade offs (eg: relative centralisation in lightning for minimal fees and quicker confirmation). Today's DeFi apps have to make a call between being ideological and efficient because it seems there is a price attached to ideology and retail users aren't willing to pay that price.
  3. Slippage Much props to Kyber and Uniswap for solving for this on most DeFi apps but there remains challenges in how settlements for defi instruments today happen. As the scale of volume on products like DyDx and Nuo increase and the expected accuracy at which trade settlements are anticipated to be limited to, there will come a point in time where traditional market-makers will have to enter the system. At $500 million the DeFi space's largest traders constantly reel from price slippages and a lack of liquidity. How can we scale to $10 billion or $1 trillion without the kind of liquidity that could instill confidence in large whales. In order to solve this, there will come a point in time where hedge funds and dark pool service providers from traditional markets begin targetting DeFi instruments. The community will likely see this as an all out assault on the principles DeFi has been built upon but to be honest, this will be a quintessential requirement for the space to grow. We are seeing an early variant of this already with the likes of Cred raising $50 million to re-issue as debt (yes, not entirely DeFi) or with MakerDAO having VC partners that come from traditional backgrounds. Even in the case of products like Dharma and compound, the market-makers are hedge funds. We will see a convergence of traditional market products and DeFi soon. That will be an exciting phase imo.
  4. Product-Market Fit Debt is one of the oldest financial innovations in the markets. Quite literally. Some of the first ever tablets recorded debt obligations and as such have been quintessential to the growth of human civilisation. MakerDAO's proposition of issuing token backed debt is by all means revolutionary but in order to see true scale, DeFi has to grow beyond the individuals that can give assets as collateral. I reckon there will be a new layer of growth for DeFi soon that will be powered with open-data and AI. One where an individual's credit worthiness could be checked with the individual's permission on basis of on-chain tx activity and self sovereign identity. I also see a market for AI based lending rate predictions and forex management by central banks. Autonomous agents can realistically analyse tx's in and out of a country, account for macro-economic indicators and optimise internal lending rates and foreign currency reserves. Ofcourse it is too early for any of this to take place but within the next decade our markets will be far more (i) closer due to globalisation and (ii) automated due to improvements in AI. DeFi is all well and good but if we are going to beat the same old drums of economic instruments that were created thousands of years back, there may be no real value proposition here. LsDAI, rDAI, CDAI, DAI... are all interesting but the average user sees no value yet. Which makes me wonder if we are sitting around patting each other's back before we see something productive (a unicorn from the DeFi ecosystem perhaps?)
  5. Scale 4.5 billion. That's the number of unbanked individuals that can be catered to with an L2 payments solution powered by Ethereum. Challenges? On-ramp, storage of private keys, user education and bloody hell - marketing and user education. Emphasis on the last 2 because I feel not much focus is given on it. We can no longer build and hope the markets come. We are in an era of Zombie startups where startups with north of $100 million+ valuations in Mcap, that raised north of $10million in 2017 from ICOs are sitting on ~1000 users a month. People think the alts blood seepage is done but it is likely that that bleeding wont stop until we find users. And when we do find users, we cant expect them to be using a gazillion tokens, each with weird token economics and even more complex functioning to be using them. Standardising of token interactions through wallets and interoperability will solve for these challenges but its time we asked what are the biggest problems DeFi can solve today? Here are some hints.. NFT based Income share agreements -Non collateralised debt for gig economy corporations that are registered as DAOs -DAO treasury management -Forex off-ramps for tourists (P2P) More on these later..
Just wanted to share my $0.02.
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Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023

Acute Growth of Algorithm Trading Market Opportunity Assessments 2019-2023
Algorithm Trading Market
Research report comes up with the size of the global Algorithm Trading Market for the base year 2019 and the forecast between 2019 and 2023. Market value has been estimated considering the application and regional segments, market share, and size, while the forecast for each product type and application segment has been provided for the global and local markets.
The Algorithm Trading report offers detailed profiles of the key players to bring out a clear view of the competitive landscape of the Algorithm Trading Outlook. It also comprehends market new product analysis, financial overview, strategies and marketing trends.
Major Manufacturer Detail: Thomson Reuters, 63 moons, InfoReach, Argo SE, MetaQuotes Software, Automated Trading SoftTech, Tethys, Trading Technologies, Tata Consulting Services, Vela, Virtu Financial, Symphony Fintech, Kuberre Systems, iRageCapital, QuantCore Capital Management
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The report reckons a complete view of the world Algorithm Trading market by classifying it in terms of application and region. These segments are examined by current and future trends. Regional segmentation incorporates current and future demand for them in North America, Asia Pacific, Europe, and the Middle East. The report collectively covers specific application segments of the market in each region.
Types of Algorithm Trading covered are: Forex Algorithm Trading, Stock Algorithm Trading, Fund Algorithm Trading, Bond Algorithm Trading, Cryptographic Algorithm Trading
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North America (The United States, Canada, and Mexico) Europe (Germany, France, UK, Russia, and Italy) Asia-Pacific (China, Japan, Korea, India, and Southeast Asia) South America (Brazil, Argentina, Colombia, etc.) The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)
Table of Contents:
Study Coverage: It includes key manufacturers covered, key market segments, the scope of products offered in the global Algorithm Trading market, years considered, and study objectives. Additionally, it touches the segmentation study provided in the report on the basis of the type of product and application. Executive summary: It gives a summary of key studies, market growth rate, competitive landscape, market drivers, trends, and issues, and macroscopic indicators. Production by Region: Here, the report provides information related to import and export, production, revenue, and key players of all regional markets studied. Profile of Manufacturers: Each player profiled in this section is studied on the basis of SWOT analysis, their products, production, value, capacity, and other vital factors.
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In case you missed it: HSBC trader found guilty of front running the spot fx market. Detailed court charts provide insight into how bank money moves markets and including actual position size/duration information.

One of the things that surprises many newbies to the forex world is that some forms of insider trading aren't illegal. Front running is the practice of taking a position with the knowledge that there is a large order coming through behind you to push the market in your favour, and it's been generally accepted that this is just the way of things in the spot market, even if it's been outlawed in futures and equities.
However, a recent landmark case means that this may no longer be the case.
Former HSBC Holdings Plc currency trader Mark Johnson was found guilty of fraud for front-running a $3.5 billion client order, a victory for U.S. prosecutors as they seek to root out misconduct in global financial markets.
He was convicted on Monday on nine of 10 fraud and conspiracy counts after a month-long trial in Brooklyn, New York.
(https://www.bloomberg.com/news/articles/2017-10-23/ex-hsbc-currency-trader-is-convicted-of-fraud-for-front-running)
It is hard to know exactly what impact this will have on the markets, given that many traders will look at this case and note that: a) there was fall out because the HSBC desk execution acted against the interest of their client, rather than the front running per se b) there was active conspiracy with other traders c) the run was into the fix, rather than less watched times of the day.
I haven't read the case details though, so perhaps there is actual specificity against the practice. Systemic risk averse (not the same as market risk aversion) institutions may be less willing to engage in the practice, and certainly it seems to continue the push towards removing the human element altogether.
-- // --
What's even more interesting for spot traders who can't front run, is the detailed look behind the scenes that the case gives us, as it clearly outlines the actual events in the real world that translate into price movement.
Timeline of events
1) Cairn Energy PLC, an oil and gas company begin talks to sell a 51.8% share of their Cairn India subsidiary in late 2010 for $8.7 billion
2) Approval from the Indian government doesn't come through until September 2011
3) Cairn Energy place an order with HSBC to convert 3.5 billion dollars from the asset sale to pounds in December 2011
4) HSBC desk traders accumulate GBPUSD longs in anticipation of the big order
5) The desk trader responsible for putting through the 3.5 billion trade 'ramps' the order through just before the fix, all traders then close out positions.
References: https://en.wikipedia.org/wiki/Cairn_Energy https://www.law360.com/articles/972069/expert-tells-of-hsbc-trading-frenzy-around-3-5b-forex-deal https://www.bloomberg.com/news/articles/2017-10-05/ex-hsbc-trader-says-boss-ordered-him-to-ramp-up-price-of-pound
-- // --
Now for those of you who are already aware that this sort of activity occurs, this isn't news, just open confirmation of what was assumed to take place.
More fascinating though are the position size and timing information, which give proper insight into market dynamics.
You should read this full article to get the best understanding: https://www.bloomberg.com/news/articles/2017-10-10/in-hsbc-currency-trade-charts-u-s-offers-its-theory-of-a-crime
-- // --
These are the charts in question:
Reuters Buying Market M5 volume chart showing HSBC share
https://i.imgur.com/bXBN2BC.jpg
For all that's said about spot forex having 'no true centralised volume' etc, this is an incredibly telling graphic of just how much a major player can dominate the interbank market and leave a very meaningful and tell-tale spike, even at the fix. Additionally that's 1.6BN notional moved in five minutes.
Prop book position sizes for HSBC London and HSBC NY
https://i.imgur.com/MhRPGWJ.jpg
https://i.imgur.com/krBztbX.jpg
There is a lot of information in these charts if you're willing to dig down into them. You can see the size of individual HSBC bank traders' positions, how much they change them, how long they hold them for, and how quickly they exit them.
It's worth nothing that the increments on the horizontal axis are 6 minutes, meaning the standard position hold length was often only in hours, with size reaching up to $70M for the NY traders.
The London traders had quite different styles, one of them running a frequently adjusting multiple small trades inside their larger position, one of them running a static short for much of the day before flipping to the long as they were alerted to the front-running opportunity.
In addition to liquidating their positions into the $3.5bn client order, many also shorted off the peak, although didn't close out in the given time period.
Actual spot price vs HSBC trader position size
https://i.imgur.com/Qc1Kart.jpg
This is particularly fascinating, because it's rare to see the spot price superimposed over the genuine very high volume buying activity.
Having looked through these charts, it's important to take a step back and think about how it all fits together: corporate activity outside of the market, leading to a major forex order, leading to the constant aggressive buying driving price up over an hour, and then the sharp position exits causing price to peak.
How you would have perceived this depends on your lens to the market. Perhaps it looked to you like a particular candle formation, maybe a test of resistance, maybe a breach of resistance. Perhaps you saw it as a big volume stomp on the DoM. Maybe it was just 'noise' (even though it represented a genuine commercial event). Maybe it formed part of harmonic, or crossed an average, triggered an automated algor entry.
But price doesn't move about for abstract reasons from minute to minute, hour to hour - it's driven by real world events that will never register on your radar, like the Cairn's Indian subsidiary sale, which then manifests when bank traders make decisions with client money and bank prop money on the side.
Whether or not this should factor into your trading depends on a combination of your personality, mental model of the market and your trading style. But new traders should always be very wary of approaches to the market that can not account for the information that can be seen about how the market operates when criminal investigations pull back the curtains.
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Altcoin Node Deployment & Fiat-to-Cryptocurrency Exchanges company in India

Altcoin Node Deployment & Fiat-to-Cryptocurrency Exchanges company in India
Just like full nodes in a cryptocurrency, masternodes can be run by anyone. However, there is an entry barrier in place to ensure that the system doesn’t get malicious. The entry barrier is what one needs to commit or collateralize certain units of that particular cryptocurrency to runa master node.
Your hardware is secure in our facility. Security systems, redundant CCTV, Full Insurance including Client Machines. Monitoring software and automation system available with VPN access.
Our entire team is committed to your success, with automated systems monitoring and more. Our goal is keeping your machines mining. On site support during business hours and 24/7 emergency maintenance response.

https://preview.redd.it/9ose9zvmqoh21.jpg?width=990&format=pjpg&auto=webp&s=626636fdff9945639138d4e28c13de6341a44a1b
Fiat-to-Cryptocurrency Exchanges
Cryptocurrency Exchange?
A crypto exchange is an online website that provides a platform for the buying, selling or exchange of cryptocurrencies like bitcoin, ether and litecoin for fiat money like USD, EUR and GBP.
Types of Cryptocurrency Exchanges
There are basically three different types of cryptocurrency exchange platforms. The difference is due to what determines the price of the cryptocoin on the exchange platform.
Trading Platforms
These websites are marketplace where potential buyers and sellers of cryptocurrency can place “buy” or “sell” orders. The buyers and sellers do not interact with each other. Each person only interacts with the platform. The service charges fees upon the conclusion of every transaction.
Peer-to-Peer (P2P) Exchange Platforms
Instead of interacting solely with the platform, these services connect buyers and sellers directly. There are no fixed market prices as everything depends on the two parties coming to an agreement. The role of the cryptocurrency exchange is to provide escrow and transaction mediation services.

https://preview.redd.it/i3161q3oqoh21.jpg?width=343&format=pjpg&auto=webp&s=8f17b5c87199744c47d628515a95df20a0d6e41f
Crypto Brokers
These function like forex broker services. Potential buyers can visit these platforms and purchase cryptocurrencies. Broker sets the price of the cryptocoins.
Smart Contract
Like many ideas in the blockchain industry, a general confusion shrouds so called 'smart contracts'. A new technology made possible by public blockchains, smart contracts are difficult to understand because the term partly confuses the core interaction described. While a standard contract outlines the terms of a relationship (usually one enforceable by law), a smart contract enforces a relationship with cryptographic code. Put differently, smart contracts are programs that execute exactly as they are set up to by their creators.
Smart contracts are self-executing contracts with the terms of the agreement between buyer and seller is directly written into lines of code. The code and the agreements contained therein exist across a distributed, Blockchain network.
How smart contracts work
It’s worth noting that bitcoin was the first to support basic smart contracts in the sense that the network can transfer value from one person to another. The network of nodes will only validate transactions if certain conditions are met.
But, bitcoin is limited to the currency use case. By contrast, ethereum replaces bitcoin's more restrictive language (a scripting language of a hundred or so scripts) and replaces it with a language that allows developers to write their own programs.
Ethereum allows developers to program their own smart contracts or 'autonomous agents', as the ethereum white paper calls them. The language is 'Turing-complete', meaning it supports a broader set of computational instructions.

https://preview.redd.it/2iterpbpqoh21.jpg?width=1200&format=pjpg&auto=webp&s=31a179bc2465847cd91bb5d96d295d52c790cd56
Smart contracts can:

  • +Function as 'multi-signature' accounts, so that funds are spent only when a required percentage of people agree
  • Manage agreements between users. lets say, if one buys insurance from the other
  • Provide utility to other contracts (similar to how a software library works)
  • Store information about an application, such as domain registration information or membership records.
Strength in numbers
📷

  • Extrapolating that last point, smart contracts are likely to need assistance from other smart contracts.
  • When someone places a simple bet on the temperature on a hot summer day, it might trigger a sequence of contracts under the hood.
  • One contract would use outside data to determine the weather and another contract could settle the bet based on the information it received from the first contract when the conditions are met.
Running each contract requires ether transaction fees, which depend on the amount of computational power required
Thanks for reading our content. To know more about our services, please visit our website:
Mr Antony Selvan
http://www.cryptoappfactory.com/
[email protected]
101, Kumaran Colony, Vadapalani, Chennai, Tamil Nadu, India-600026
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ScamBroker review

ExpertOption is an established binary options broker owned by ExpertOption Ltd, located at Suite 305, Griffith Corporate Centre, Beachmont, P.O. Box 1510, Kingstown, St. Vincent and the Grenadines. Their phone number in United Kingdom is:+44 203 868 3160, and in India: 000 800 443 0002 and their email address is: [email protected].
For complaints or withdrawal issues, read this.
ExpertOption Platform Review Scam AlertWarning! Many binary option robots you see, are really scams, learn why.
If you are interested in Automated Trading Software, look here.
ExpertOption uses their own custom built trading platform for binary options trading platform. There are many assets to choose from including most Forex pairs, Oil and major market indexes like the S&P500. The trading platform is very easy to use, and they offer high payout on various options.
Free Demo Accounts – Signup Here.
When we reviewed the broker, it seems that the maximum expiry time for a binary option is only 15 minutes. Basically, you can select a time between 60 seconds and 15 minutes for expiration. We hope they will introduce longer time frames soon. Their website is available in many languages including; Malay, Bahasa, Siamese, Korean, Arabic, Tagalog, Chinese, English and Russian.
The minimum trade size is only $1 and the minimum deposit for new accounts is $50
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