A Few Greenish Swings

A Few Greenish Swings

Only 96 of 1188 Coinmarketcap’s tokens at large (8%) have their daily trading volume around $1M+ today. 77 out of these 96 assets (80%) were able to grow up

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Former eToro Financial Market Analyst Promise to Offer Cryptocurrency Trading Tutorials

eToro's former financial market analyst Mati Greenspan who stepped down from his position to start his own research and the consulting firm last month has promised to avail training videos and tutorials for Bitcoin and digital asset trading. Greenspan said that the new digital asset trading course will be launched soon on Cointelligence with several […]
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Point72, Renaissance Technologies, and Millennium are betting they can make quant strategies work in bond markets. Here's why their nascent credit trading teams face an uphill battle.

Some of the biggest funds are pumping money, technology, and time into building out credit quant teams, sources tell Business Insider.  Firms like Steve Cohen's Point72, Renaissance Technologies, and Millennium have all built out their teams as they try to apply their expertise in quant equity and FX trading strategies to the $9.2 trillion world of US corporate bonds. Recruiters tell Business Insider that firms are unsure of what to look for when hiring for these roles because "it's just so different from the equity space."  Click here for more BI Prime stories. Some of the world's largest quant funds are working to turn their mathematical wizardry to a market that has long remained outside their reach: Bonds.  Point72, Renaissance Technologies and Millennium Management are among a growing group of hedge funds hoping to leverage their expertise in analyzing large chunks of data to systematically trade US corporate bonds in what they believe could be a big opportunity in a market valued at $9.2 trillion in 2018. Even those funds without a background in quantitative strategies are looking to take a more data-driven approach to credit trading. Ben Hodzic, an executive director at recruiter Selby Jennings who focuses on quantitative placements, told Business Insider of the top 10 credit hedge funds in New York, 80% of their open roles require a quantitative background.  "There is really no more landscape to hire traditional credit analysts," he said. "Just about every credit hedge fund is a lot more geared toward hiring quantitative talent." Bond trading's electronic shift created an opportunity The increased interest in bond trading isn't a coincidence. It comes as the market is going through a revolution. For years, credit trading was almost entirely relationship-based, with everything done over the phone and a handful of the largest banks maintaining the most significant market share.  The rise of electronic marketplaces such as MarketAxess and Tradeweb in recent years has led to drastic change, as an increasing amount of trading is done electronically. As a result, data, the lifeblood of any quantitative strategy, has slowly become more available thanks to trades moving from phones to computers.  Market makers, especially those maintaining large businesses trading fixed income exchange-trade funds, have already taken notice, as firms like Jane Street and GTS have started to push into the space.  And now, too, so are quantitative hedge funds, hoping to systematically trade corporate bonds the same way they do equities and foreign exchange: Using a sophisticated proprietary pricing engine to find discrepancies in how the market is pricing securities.  Point72, the Stamford, Conn.-based hedge fund run by Steve Cohen, who is currently in talks to acquire 80% the New York Mets, is building a team out of its Cubist Systematic Strategies group. In July, the firm posted a listing for an execution trader to work with the Cubist portfolio management team "specializing in the systematic trading of US credit markets." The role was explained as, "an opportunity for someone with expertise in sourcing (electronic and voice) liquidity in the credit markets and piloting automated trading systems to take a central role on the front lines of the team's investment process." A spokesperson for Point72 declined to comment.  Meanwhile, Long Island-based Renaissance Technologies was one of the first adopters of a tool released in August by Bloomberg, which also operates an electronic market for trading bonds, that helps firms predict if a corporate bond's spread will widen or tighten, according to sources familiar with the matter. An Institutional Investor piece from 2017 lays out just how long the secretive hedge fund has been working on this — this story starts by noting that the firm "has had near real-time prices on corporate bonds and other debt for years." Through a spokesperson, Renaissance declined to comment.  Millennium Management is also investing resources in building out a team that can trade bonds in a systematic way, according to multiple sources. Billionaire Izzy Englander's firm also declined to comment.  Staffing quants to credit teams has proved difficult Despite these firms' history of making billions of dollars through quantitative investing strategies, the credit market has proved to be a tricky endeavor. Firms have quickly learned trading bonds is not as simple as slightly reconfiguring systems designed to trade stocks or FX. At its core, systematic trading is about quickly understanding if the market is under or overvalued and acting on it, all through the use of complex algorithms. To do that, one must first establish the notion of what the right price is. But pricing credit is a far cry from FX or equities. Unlike a particular stock or currency, a bond might only trade once a day, requiring investors to consider how to trade it in a completely different way.  "There is a false narrative that you can take an FX system or an equity system and apply it to credit," a veteran of the credit industry told Business Insider. "You need to warehouse risk in credit where you don't in other asset classes, which means you therefore need to price risk from a warehousing perspective not from an instantaneous transaction perspective." As a result, staffing for such projects has proved competitive, according to sources. Vickram Tandon, a partner and founder of A-Squared Search, told Business Insider that funds are looking for "old-school" quants to take up these roles.  Because of the lack of data in the credit space compared to the equities market, machine-learning specialists and artificial intelligence designers aren't going to be of much use. Tandon said people that were building mortgage models a decade ago at big banks like JPMorgan and Morgan Stanley who have now shifted into risk roles at banks and insurance companies are surprisingly solid candidates if they've kept up with the technology. "It's just so different from the equities space," he said.  Ideally, a quant with a background in credit trading would be the perfect candidate. However, because the industry lacked significant data for so long, few have entered the space, instead gravitating towards markets with an abundance of information such as equities, FX or commodities.  As a result, Hodzic said hedge funds looking to bring quants onto their credit trading desks have typically gone two routes. One is to hire recent PhD graduates with no experience trading at all with the belief the knowledge of the asset class can be taught quickly enough. The other is to hire credit-trading veterans that have learned computational skills later in life.  "I don't see very much success, personally from our placements, in people coming from an equities background or maybe even a commodities background," Hodzic said. "I think what it comes down to is liquidity. If you are working in a very liquid market, chances are you can move into another asset class that is equally as liquid. If it is not that case, then you are working with a very different beast when it comes to data and speed of technology."Join the conversation about this story » NOW WATCH: WeWork went from a $47 billion valuation to a failed IPO. Here's how the company makes money.
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Bitcoin (BTC) Prices are Cyclic, Traders Missing out on Millions

Bitcoin could be the most valuable coin, it is also synonymous with price volatility and unparalleled levels of unpredictability. However, it is emerging that Bitcoin is, after all, a cyclic asset, just like any other tradable instrument and its price movements can be predicted using ordinary tools like Moving Averages and Fibonacci retracement technical indicators. Bitcoin Prices are Cyclic According to a crypto analyst and Bitcoin trader, a lot of traders could be missing millions as a cost of basing their trading decisions on noise. In his assessment, traders are missing out on patterns that Bitcoin has been printing in the last four years. Taking to Twitter, the defiantly confident trader said: “The precision of Bitcoin is a beautiful thing. Do people really still think this is risky? BTC does the same exact thing every 4 year cycle while everyone misses millions because they listen to fake noise. Only the strong & smart survive here.” But traders are not be blamed. Within the BTC trading cycles, it is not rare for prices to rally one minute and then tank the next, wiping gains and even edging lower much to the disappointment of traders. A case of fake breakout and bull traps are reasons one too many for traders for all calibers to play their cards close to their chest. Traders are Cautious Such a case was observed recently. Within minutes, Bitcoin prices rallied, adding $500 within an hour, only for prices to tumble in subsequent hours, trapping optimists and traders who were angling for a killing following a convincing technical pattern marked by a surge in trading volumes and a bullish candlestick with minimum to no resistance to the upsides as observed in lower time frames. Bitcoin has been on a firm down trend in recent weeks. Following steep losses recorded in late November, when prices slumped and retested a 6-month low, it is only natural for traders and investors to be cautious. Tone Vays, in a recent podcast, discussed the likelihood of Bitcoin prices sliding below 2018 lows to $2,800. While he could be right, fundamental factors seem to support Bitcoin in the short-to-medium term. Other traders are also optimistic, expecting a rebound in coming weeks. I find it hilarious that all these “top” Bitcoin twitter people have capitulated & turned bearish at what is now one of the top 3 greatest buying opportunities in investment history. Their little signal blinks quick & they just throw in the towel? All noise. What a time. $BTC pic.twitter.com/kwaCJg69wh — Riggs (@RiggsBTC) December 2, 2019 The post Bitcoin (BTC) Prices are Cyclic, Traders Missing out on Millions appeared first on Coingape.
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