Algo Trading News Headlines 8/29/2018

Brazilian crypto trading platform hacked, over 264000 user data leaked

(www.coingeek.com)

Portal do Bitcoin reported that the hack was initially brought to light through a YouTube video posted by Investimentos Digitais. A total of 14,500 accounts containing a total of 5,813 BTC, currently worth about $40 million, were reportedly affected by the security breach.

Photo by  Pedro Menezes  on  Unsplash

Photo by Pedro Menezes on Unsplash

Forecasting Market Movements Using Tensorflow

(alpaca.markets)

In this post we’ll be looking at a simple model using Tensorflow to create a framework for testing and development, along with some preliminary results and suggested improvements.

$6 Billion Daily Crypto Volume is Being Faked, How Can it be Combated?

(www.ccn.com)

Earlier this week, the Blockchain Transparency Institute (BTI) published a report claiming that the global crypto exchange market is faking $6 billion of its daily volume. The researchers at BTI evaluated the user activity and traffic of the market’s biggest crypto exchanges, comparing their projected trading volume to other metrics.

Empower Sebi to crack down on erring CAs, says panel

(http://www.asianage.com/)

New Delhi: The fair market committee report submitted to securities market regulator Sebi has many more unpleasant surprises for various market-connected entities. For instance, it opens a pandora’s box on whether Sebi has jurisdiction over errant chartered accountants or not.

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Algo Trading News Headlines 8/27/2018

Trading Places — Lines Blurred Between Traders And Programmers

(seekingalpha.com)

The recent WSJ article focused upon details from Adam Korn, a 16-year veteran at Goldman. He stated that success today depends less on trusting one’s gut, rather much of a trader’s job is embedded in the computer code or algorithms, which do much of the work now.

What is the real story though, what has all this computerized algorithmic trading truly done, how much value has it truly created? One question I would like to ask, is there a correlation between the explosion of our debt levels and this newly digitized financial age?

Photo by  Phil Botha  on  Unsplash

Photo by Phil Botha on Unsplash

Major Russian Airline Tests Blockchain in Bid to Track Fuel Payments

(www.coindesk.com)

According to S7, the application shares data about fuel demand on a shared ledger, a copy of which is managed by each of the three parties. Further, payments for the fuel can be conducted on the network, with digital invoices created via smart contract during each transaction.

Python Notebook Research to Replicate ETF Using Free Data

(alpaca.markets)

ETF is one of the great investment products in the last decade, and it has allowed so many people to gain the exposure to the wide range of assets easily at low cost. It is easy to buy a share of ETF without knowing what’s in there, but as a tech-savvy guy yourself, you may wonder how it works. By reconstructing the fund yourself, you may even come up with something better.

Trading Lesson: Don’t Touch That Dial. More to Come, Hedge Your Bets

(www.moneyshow.com)

In my 30 years as a trader, I’ve never seen a market like this. If the bots remain faithful to their programs, we are still likely to see higher stock prices over the next few weeks to months.

STEROID Launches New Automated Cryptocurrency Trading Algorithm

(www.bitcoinexchangeguide.com)

Algorithms run our online world, for the most part, a majority of everything done online is associated with an algorithm in one way or another. It only makes sense therefore that they would be used in the financial world as well. That is why STEROID has been developed, to create a functioning opportunity for traders on crypto exchanges.

Here’s how artificial intelligence can be used to beat the market

(www.cnbc.com)

CNBC’s Bob Pisani is joined by Sam Masucci, ETF Managers Group CEO, to discuss how he’s using an AI program to pick stocks.

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Algo Trading News Headlines 8/23/2018

Barclays hires AI specialist from Goldman intrading revamp

(www.fnlondon.com)

The hire is another sign of Barclays’ intent to ensure its markets business can compete with rivals in the City and on Wall Street, which are increasingly turning to new technologies to improve performance and cut costs.

No Quant Is Safe as Global Stress Hits Risk Parity Where It Hurts

(www.bloomberg.com)

Risk-parity’s travails might test faith in the trading style over traditional allocations. It’s among the worst-performing categories tracked by JPMorgan, falling 1.2 percent this year. That compares to a 2.1 percent gain for long-short equity funds, 1.7 percent for macro funds, and 2.9 percent for balanced mutual accounts, according to data published by the U.S. bank earlier this month.

UBS trials Netflix-style algorithms for trading suggestions

(www.cnbc.com)

UBS is looking at applying recommendation algorithms to suggest trades to its asset management and hedge fund clients, similar to those used by a host of consumer technology companies.

Market makers, takers and fakers: US exchanges are losing fast

(bravenewcoin.com)

The great ETF debate rages on and there’s a lot of conjecture as to why the SEC should or shouldn’t approve one. But what needs to be addressed foremost is the immaturity and unreliability of many of the exchanges that bitcoin derives its “global spot price” from — that number now over 210 — and the obstacles they may encounter going forward.

Indicators That Could Have Made You 626% ROI During The Recent Bloodbath

(cryptodaily.co.uk)

Those indicators are the 5 EMA and 10 EMA as can be seen on the daily chart for BTC/USD. These indicators have been signaling the direction of every bullish and bearish wave throughout the correction period.

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Algo Trading News Headlines 8/22/2018

Wall Street Erases the Line Between Its Jocks and Nerds

(www.wsj.com)

There used to be a strict hierarchy: Traders made money and won glory while programmers wrote code and stayed out of sight. Those days are over. Meet the straders. Part risk-taking trader and part computer-whiz “strategist,” they are prowling the halls at Goldman Sachs Group Inc., erasing a once-religious line between the jocks and the nerds.

Photo by  FOTOGRAFIA .GES  on  Unsplash

Israel’s Central Bank Wants Increased Regulation on Algorithmic Trading

(www.calcalistech.com)

Over 90% of the activities on the Tel Aviv Stock Exchange are algorithmically performed, according to a new research published by Israel’s central bank last week. While the number of algorithmic automated high-frequency trading (HFT) activities on the exchange is higher than most stock exchanges, the actual rate of transactions they execute, between 23% and 35%, is significantly lower than global standards, the report said.

Global Algorithmic Trading Market 2018–2025 by Business Players: Virtu Financial, KCG, DRW Trading, Optiver

(threepmnews.com)

Geographically, the global Algorithmic Trading market is designed for the following regional markets: USA, EU, Europe, China, Japan, Southeast Asia, India. It also studies the revenue market status, analysis of main manufacturers. It deciphers the Sales Price and Gross Margin Analysis and Global Sales Price Growth Rate, Marketing Trader or Distributor Analysis. The role of traders and distributors is emphasized in this research. The complete analysis of Algorithmic Trading Market on the global scale provides key details in form of graphs, statistics and tables which will help the market players in making key business decisions.

Wall Street Finds Limits with Current AI Applications

(www.wsj.com)

“A lot of work needs to be done to translate (AI) advancements into benefits for finance,” said Ambika Sukla, executive director of machine learning and AI at Morgan Stanley, at an AI conference Tuesday. “As we work on some of these new models, it’s important to proceed carefully and have a human in the loop.”

Machine Trading: Deploying Computer Algorithms to Conquer the Markets

(www.wiley.com)

Algorithmic trading is booming, and the theories, tools, technologies, and the markets themselves are evolving at a rapid pace. This book gets you up to speed, and walks you through the process of developing your own proprietary trading operation using the latest tools.

Comparing 3 Different Types of Neural Network Architectures in Finance

(blog.alpaca.markets)

When working on a machine learning task, the network architecture and the training method are the two key factors to turning a set of data-points into a functional model. But where should different training methods be applied? How do they work? And which is “best”? In this post, we list up three types of training methods and make comparisons among Supervised, Unsupervised and Reinforcement Learning.

Coinscious Introduces Crypto Prediction Machine Built to Synergize AI and the Blockchain

(www.benzinga.com)

Every day, people spend significant amounts of time reading financial news and checking cryptocurrency prices, gathering information that they hope can lead to better decisions. However, the quantity of information available is overwhelming and calls for effective tools and suitable methodologies to enable us to distill data into actionable insights. By processing large data sets quickly, machine learning algorithms can use news sources such as the Financial Times, The Washington Post, or Twitter to provide key insights.

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Algo Trading News Headlines 8/17/2018

Startup Raises $23 Million To Make Crypto Trades Faster And Stealthier

(www.forbes.com)

Silicon Valley-based cryptocurrency trading platform Sfox has raised $23 million in new investment, led by venture firms Tribe Capital and Social Capital. The 20-person startup aims to help investors make large trades by routing their orders to multiple places, enabling faster execution and better prices. Khosla Ventures, startup accelerator Y Combinator, and crypto investors Blockchain Capital and Digital Currency Group also participated in the Series A funding round. Forbes estimates Sfox has reached $15 million in revenue over the past 12 months.

Photo by  John-Paul Henry  on  Unsplash

Blockchain Firm Exscudo To Add Trading Robots Support On Its Crypto Exchange

(blocktribune.com)

Exscudo is currently testing a trading terminal API that will allow Exscudo exchange users to utilize a trading robot that automatically makes trading decisions based on market data analysis and pre-programmed set of parameters.

Forecasting Market Movements Using Tensorflow — Intro into Machine Learning for Finance

(blog.alpaca.markets)

In this post we’ll be looking at a simple model using Tensorflow to create a framework for testing and development, along with some preliminary results and suggested improvements.

The World Economic Forum warns that AI may destabilize the financial system

(www.technologyreview.com)

Compiled through interviews with dozens of leading financial experts and industry leaders, the report concludes that artificial intelligence will disrupt the industry by allowing early adopters to outmaneuver competitors. It also suggests that the technology will create more convenient products for consumers, such as sophisticated tools for managing personal finances and investments.

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Algo Trading News Headlines 8/15/2018

Goldman Sachs, JPMorgan Strengthen Algo Trading Units With New Hires

(www.financemagnates.com)

Algo trading has been an important component for many banks in recent months, with the latest hires possibly portending a drying up of supply to meet a growing demand. In any scenario, banks have been quickly scooping up top-tier talent in the algo trading arena, with Goldman Sachs and JPMorgan emerging as the latest players to do so.

Photo by  Sean Pollock  on  Unsplash

Photo by Sean Pollock on Unsplash

Comparing 3 Different Types of Neural Network Architectures in Finance

(blog.alpaca.markets)

One good use may be in the analysis of portfolios. By clustering equities and financial instruments you can get a unique view of the distribution of exposure and risk, and either hedge accordingly or look to maximise the efficiency of exposure to one area of the market.

4 Problems with Using a Crypto Trading Bot on Exchanges

(cryptodisrupt.com)

“Get a crypto trading bot”, said a friend. “You will be swimming in cash”, he said. It was with the ultimate of best intentions that my friend advised me to use a trading bot. They are definitely a great way for crypto trading newbies to start making money and understanding how exchanges and the markets work but are trading bots simple to use? And is it really that easy to make money with them?

Can Robots Replace Day Traders on Wall Street?

(www.financemagnates.com)

Goldman Sachs has already begun to automate currency trading, and has found consistently that four traders can be replaced by one computer engineer.

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