#Oracle FCCs Fundamentals

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Oracle FCCs Unbalance Journals

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Marketing Day: Facebook & Cambridge Analytica, Oracle Infinity analytics & more

Here’s our recap of what happened in online marketing today, as reported on Marketing Land and other places across the web.

From Marketing Land:

Facebook & Cambridge Analytica: What we know, what they knew & where that leaves us Apr 11, 2018 by Michelle Robbins A brief history of the many privacy disasters at the world’s dominant social media platform, and what the most recent data exposure means for marketers, and other data Borg as Facebook’s CEO faces Congress.

Closing the deal with in-store customers Apr 11, 2018 by Davor Sutija After a brand spends big bucks to get a potential customer into the retail environment, how can they win the sale? Contributor Davor Sutija suggests approaches and technologies that can help.

Best practices for customer data strategies and identity resolution Apr 11, 2018 by Digital Marketing Depot When it comes to customer data, fundamentals matter. If you don’t know who your customers are, you can’t create personalized brand experiences that increase revenue and lifetime value. Before you jump on the latest big digital marketing bandwagon, ask yourself these questions.

Facebook confronts class action lawsuit on behalf of 70M users Apr 11, 2018 by Greg Sterling The central claim is that Facebook profited from the transfer of user data without consent.

Native will dominate display spending in 2018 Apr 11, 2018 by Greg Sterling Mobile, social media and Amazon are the major growth drivers.

Sendwithus launches GDPR-compliant, cloud-based email CMS Apr 10, 2018 by Robin Kurzer Dyspatch was made specifically to help enterprises manage their transactional emails on a large scale.

Oracle adds clouds for analytics, segmentation and loyalty Apr 10, 2018 by Barry Levine The new Oracle Infinity is the company’s first web/app analytics platform, and the new CX Audience and Loyalty clouds boost existing capabilities.

Recent Headlines From MarTech Today, Our Sister Site Dedicated To Marketing Technology:

Grabbr employs blockchain tech to lock-record its social sharing Apr 11, 2018 by Barry Levine The company charges marketers by shares, so this solution offers a permanent vehicle for tracking that critical metric.

A panda named Genius joins this world to boost a new IMAX movie Apr 11, 2018 by Barry Levine The animated character is available via a free interactive AR app that allows users to converse by selecting questions or answers.

Where software innovation is needed today: Martech Apr 11, 2018 by Rob Rasko While there are clear leaders in software for publishers and agencies, contributor Rob Rasko says marketers still need an end-to-end solution to unify their activities.

Study: Exposure to viewable ads drove a 53% increase in store visits Apr 11, 2018 by Greg Sterling Viewable ad impressions translate directly into store visits and sales.

Online Marketing News From Around The Web:

How Chatbots, AI, and Tech Can Improve Customer Care, MarketingProfs

How to Create the Perfect Abandoned Cart Emails, Live Chat Inc.

Martech-Enabled Marketing Operations: Invisible Roads and Bridges, Chief Marketing Technologist

Reddit boots hundreds of accounts linked to Russian propaganda trolls, CNET

Snap Spectacles Model 002 With 802.11ac Surface in FCC Filing, Variety

The 3 Things Marketers Care Most About For 2018, Marketo

Twitter endorses the Honest Ads Act, a bill promoting political ad transparency, TechCrunch

Who Wins And Loses As Brands Flee The Long Tail?, AdExchanger

Yelp CEO Jeremy Stoppelman: People are “waking up” to tech’s dark side, Recode

The post Marketing Day: Facebook & Cambridge Analytica, Oracle Infinity analytics & more appeared first on Marketing Land.

[dailycryptonews-blog]

Crypto News - Stablecoins: A Deep Dive, Featuring Basis, Carbon, and Fragments

Stablecoins: A Deep Dive, Featuring Basis, Carbon, and Fragments As cryptocurrency works its way toward mass adoption, one of its biggest obstacles is volatility. Markets change overnight, and we’re so desensitized to it that we don’t even blink at dips that would bring national economies to th... You May Likes reading: Also Read: Latest Crypto News

Stablecoins: A Deep Dive, Featuring Basis, Carbon, and Fragments

As cryptocurrency works its way toward mass adoption, one of its biggest obstacles is volatility. Markets change overnight, and we’re so desensitized to it that we don’t even blink at dips that would bring national economies to their knees. Stablecoins – cryptocurrencies that are tied to existing currencies or commodities like the US dollar or gold – are fungible, easily traded assets that bring us one step closer to mass adoption.

While promises of $1 = 1 coin make stablecoins appear simple, stablecoin projects rely on complex algorithms to do the following:

Keep the currency’s value from inflating, (e.g., increasing over a dollar)

Keep the currency’s value from deflating (e.g., dropping below a dollar).

Keep the network informed of the exchange rate between the pegged asset and the stablecoin.

Writing this down as a three-step list is easy. Actually achieving it is not. It will take a truly well-structured stablecoin model to do this consistently over time, and so far, results have been experimental at best.

Today’s Stablecoins

Tether, Digix, NuBits, and BitShares offer lessons on stablecoin models, but this article is focused on four stablecoins which recently received funding and are being actively developed:

Stablecoin Amount Raised in ICO or Seed Funding Basis (formerly Basecoin) $133 million Carbon $2 million Fragments $3 million MakerDAO $12 million

Three Models for Stablecoins

Stablecoins come in three types: cash-collateralized, on-chain collateralized, and elastic. Depending on the model, these projects can be decentralized, collateralized, and efficient at stabilizing. As of yet, there hasn’t been a stablecoin able to achieve all three aspects, and doing so may not be necessary for one to succeed at maintaining a consistent value.  

Cash Collateralized: Tether and NuBits are the classic one-to-one USD cash-collateralized stablecoins, as both earn their value from being backed by cash (though Tether appears to be headed towards an FCC audit to prove its worth).

Cash collateralized models are efficient to manage, but they’re also centralized. The advantages of cash collateralized stablecoins are their efficiency to stabilize and the fact that they are backed by concrete assets. Their centralized design makes them vulnerable to mistakes or intentional inflation by coin makers. We have to put a lot of trust in such developers, and many crypto enthusiasts point to this as being a central point of failure, bolstered by accusations of Tether inflating its value. This explains why cash collateralized models lack the trust needed to become true solutions to volatility in the crypto market.

On-Chain Collateralized: On-chain collateralized projects use a decentralized cryptocurrency to maintain a stable value. MakerDAO, for example, uses a DAO model to ensure buys and sells of the Dai fix the latter’s value at the equivalent of $1. On-chain models are vulnerable to market dips, or in extreme cases, black swan events, where currencies take a steep nosedive and all assets’ values become low.

BitShares (BTS)

BitShares is the original project from Daniel Larimer, the co-founder of Steem and the CTO of EOS. BitShares is the most successful example of an on-chain collateralized stablecoin. It was the first blockchain to scale to tens of thousands of transactions per second (TPS).

BitShares was Larimer’s response to centralized exchanges that are vulnerable to government regulatory shutdowns that interfere with the supply of cryptocurrencies. He created Bitshares, an early decentralized exchange with a cryptocurrency pegged to assets including the US dollar, gold, and the yen. While BitShares exists today, Larimer left the project because of its lack of customization to build EOS.

MakerDAO (DAI, MKR)

Today, MakerDAO, headed by Rune Christiansen, is the new leading experiment in on-chain collateralization. MakerDAO works by stabilizing pricing of its stablecoin, the Dai, with a governance coin, MKR, managing the collateralization of assets. MakerDAO has been thoroughly audited by an outside security firm, but it’s not without growing pains. In the case of a black swan event, MakerDAO would sell off MKR to restore the value of the Dai to one dollar. While its founder is confident the Dai can handle such extremes, we have yet to see this level of volatility.

Elastic: Basis (formerly Basecoin), Carbon, and Fragments all follow an elastic stability model. While both cash-collateralized and on-chain collateralized models buy and sell off either fiat cash, gold, or crypto assets to achieve a stable value, elastic coin supplies are fundamentally quite different. By increasing the supply of coins when prices are too high and shrinking it when prices go too low, elastic models reflect how modern governments control their monetary supply. Like the on-chain model, elastic models are decentralized, and like cash collateralized models, they are highly efficient at achieving stability.

Basis (Basecoin)

Basis works like the Fed, by adjusting the supply of coins over time so its stablecoin always trades for $1. Basis is formed on the basis of the Quantity Theory of Money, which states that contracting and expanding the supply of money keeps prices and values stable. According to its whitepaper, “long-run prices in an economy are proportional to the total supply of money in circulation.”

Basis is a multi-asset currency which incorporates the Basis token (its stablecoin), bond tokens, and Base shares. Basis uses aggregate demand to decide how many Basis tokens should be in circulation based on its price relative to the dollar:

demand = (coin price) * (number of coins in circulation)

Basis uses an oracle system to track its price and adjust it, based upon whether the token’s value is too high or too low. If the price is over $1, Basis distributes more Basis tokens to its holders as well as Bond and Base Shares. When the price is under $1, the protocol creates and sells bond tokens, allowing buyers to purchase them for less than a dollar each as a speculation to hold and sell at a 1:1 ratio with Basis tokens, destroying excess Basis tokens in exchange for a later potential profit on bond tokens.

There’s obviously more complexity to this process, but there still remains the question as to how quickly these price adjustments would adjust value without any currency used as a backup. The Basis protocol relies heavily on the idea that bond buyers willing to speculate on Basis’ value rising will continually create liquidity in the market.

Carbon

Carbon monitors its price much like Basis, but it determines how to adjust its token supply every 24 hours, using a distributed consensus model. Instead of running on a blockchain, Carbon has partnered with Hedera Hashgraph to run on the latter’s DAG to achieve a faster throughput compared to blockchain-based stablecoins. Carbon is using a proprietary distributed oracle model along with a graph-based platform, setting their approach apart from other elastic stablecoins.

Carbon holders act as nodes, voting on how to adjust its price weighted by collateral they supply in Carbon (CUSD) tokens. This model rewards bidders in the median with the collateral from those who voted under the 25th percentile and above the 75th percentile.

Carbon utilizes the Aztec Model to maintain the liquidity it needs to keep the Carbon stablecoin close to $1 in value. Members who help the system contract supply during periods of inflation receive a distribution of 100% of the upside profits in exchange for burning their tokens.

Carbon has a second coin called Carbon Credit that works as a cushion to absorb any volatility affecting its stablecoin, CUSD. Carbon’s model takes an adaptive, albeit more nuanced approach. Having Hashgraph as its consensus layer will give it unparalleled speed over other stablecoins, but it also leaves Carbon tethered to Hashgraph’s mainnet launch.

Fragments

Fragments uses an elastic model tied to three different assets: reserves, bond tokens, and its stablecoin, USD Fragments. Though the Fragments team considers their project a low volatility cryptocurrency rather than a stablecoin, this model is similar to Basis in its setup.

Fragments employs an algorithmic monetary supply model to carry out the balancing needed to reduce volatility, with a focus on token holders. Token holders act as market makers, buying more Fragments when its price drops below a dollar, and selling when its price exceeds it. When market makers aren’t able to make up the price gap, an algorithmic buffer kicks in, autonomously buying and selling the reserve asset to bring Fragments closer to the $1 value.

By automating the buying and selling of tokens when needed, the supply of Fragments expands and contracts, in theory by enough to achieve its targets. These automated conversions remove some autonomy from token holders, who lose or gain a portion of funds when Fragments are converted into bonds and distributed to them proportionally to reduce the Fragment supply. When the price is too low, Fragments sells off reserves and distributes more tokens to wallet holders, increasing the total supply of Fragments.

Like Basis, Fragments follows a first-in, first-out model, rewarding token holders for burning Fragments into Bonds when it needs to contract supply, and receiving newly minted Fragments in exchange when deflation is needed. Fragments manages stability autonomously, providing the advantage of quick adaptability, but also removing decision-making from token holders when prices fall too far from the market maker layer. This leaves Fragments’ chances of success dependent upon people holding onto their tokens long-term.

Where We’re Headed

Stablecoins, along with cryptocurrencies in general, remain in the early stages, focused on finding mathematical or governance models to break economic barriers to stable payments. Though the elastic model appears to be the direction in which stablecoin development is going, there aren’t many teams working on them. That’s partially because cryptocurrency itself is still making its way through growing pains. While cryptocurrency remains a speculative market that’s full of volatility, the potential for large profits remains. Now is an ideal time to put in the groundwork to address this future need for a decentralized economy. If cryptocurrency has taught us anything, it’s that many ideas and iterations are necessary to find success.  

Source #bitcoin #news #cryptonews #cryptocurrency #dailybitcoinnew #todaynews

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New Post has been published on OmCik

New Post has been published on http://omcik.com/netflix-facebook-and-other-techs-remain-red-hot/

Netflix, Facebook and other techs remain red hot

Silicon Valley may not like many of President Donald Trump’s policies, especially his proposed ban on immigration from several predominantly Muslim nations. But investors in tech stocks don’t seem too concerned.

Maybe it’s despite Trump that many big tech stocks are on fire this year — or is it because of Trump? After all, he is also promising to stimulate the economy with tax cuts, more government spending on infrastructure and fewer regulations.

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The so-called FANG stocks of tech, Facebook, Amazon, Netflix and Google, have all soared in 2017.

Facebook (FB, Tech30) is up nearly 20%. Amazon (AMZN, Tech30) has gained 12%. Netflix (NFLX, Tech30) is up 14%. And Google parent company Alphabet (GOOGL, Tech30) is up 7%.

And don’t forget Apple (AAPL, Tech30). It’s the best performer in the Dow this year, rising 20%. Fellow Dow component Cisco (CSCO, Tech30) is up more than 13% too.

All six stocks are part of the Nasdaq, which has gained 8% and has outperformed the Dow and S&P 500.

The solid performance of these companies has helped push the Nasdaq to within spitting distance of topping the 6,000 mark for the first time ever.

Related: These 10 stocks dominate the market

How long will it take for the Nasdaq to get to 6,000? That probably will depend on earnings. Most tech companies reported solid results for the fourth quarter and have issued good guidance for the first quarter and 2017.

While many investors are obsessed with news from Washington (and what’s popping up on Trump’s Twitter accounts) these tech giants should keep doing well regardless of the political landscape since they are leaders in their respective industries.

“There are some meaningful fundamental drivers in the market right now,” said David Jilek, chief investment strategist at Gateway Investment Advisers. “It’s not just the Trump rally.”

Just look at Netflix, for example. The stock rose Monday after UBS analyst Doug Mitchelson upgraded it to a buy.

He boosted his subscriber targets for the company — and said that even though Trump’s new FCC chair may eliminate Net neutrality rules that now help Netflix, he’s not overly concerned that regulatory changes will hurt Netflix or other techs too severely.

There’s also the fact that other Trump policies — particularly tax reform — could boost tech stocks substantially.

If Apple, Microsoft (MSFT, Tech30), Google, Oracle (ORCL, Tech30), Cisco and other large techs with a lot of cash overseas are allowed to bring the cash back, or repatriate it, at a lower tax rate, they may invest more in R&D, buy back stock, boost dividends or acquire more companies.

And at the end of the day, as long as investor sentiment about Trump remains strong — CNNMoney’s Fear & Greed Index continues to show signs of Greed in the market — then big tech stocks and other blue chips should continue to lead.

“This is still the most hated bull market ever but we’re not seeing any signs of that trend turning,” said Scott Colyer, CEO & chief investment officer of Advisors Asset Management.

CNNMoney (New York) First published March 6, 2017: 1:34 PM ET

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Oracle Financial Consolidation Tips and Tricks Part II

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Oracle FCCs Application Metadata Analysis