Forex California Forex Cargo

San Francisco-based #cryptoexchange #OKCoin has finally obtained its license as a Digital Forex Service Supplier from the Kanto Native Finance Bureau in Japan. This would hopefully attract more multinational #cryptotraders to invest via the exchange📈.

San Francisco-based #cryptoexchange #OKCoin has finally obtained its license as a Digital Forex Service Supplier from the Kanto Native Finance Bureau in Japan. This would hopefully attract more multinational #cryptotraders to invest via the exchange📈. submitted by Tokenncoin to Tokenncoin [link] [comments]

88 Structure of the Federal Reserve System

88 Structure of the Federal Reserve System
About the Federal Reserve System
The Federal Reserve System is the central bank of the United States.
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It performs five general functions to promote the effective operation of the U.S. economy and, more generally, the public interest. The Federal Reserve
conducts the nation's monetary policy to promote maximum employment, stable prices, and moderate long-term interest rates in the U.S. economy;
promotes the stability of the financial system and seeks to minimize and contain systemic risks through active monitoring and engagement in the U.S. and abroad;
promotes the safety and soundness of individual financial institutions and monitors their impact on the financial system as a whole;
fosters payment and settlement system safety and efficiency through services to the banking industry and the U.S. government that facilitate U.S.-dollar transactions and payments; and
promotes consumer protection and community development through consumer-focused supervision and examination, research and analysis of emerging consumer issues and trends, community economic development activities, and the administration of consumer laws and regulations.
Read more in the 10th edition of Federal Reserve System Purposes & Functions.
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Figure uses a pyramid of graphics to describe the Federal Reserve System. Top level: There is 1 U.S. Central Bank: the Federal Reserve System. Second level: The 3 Key Entities of the Federal Reserve System: Federal Reserve Board of Governors, 12 Federal Reserve Banks, and the Federal Open Market Committee. Third level: The 5 Key Functions of the Federal Reserve System: conducting the nation's monetary policy, helping maintain the stability of the financial system, supervising and regulating financial institutions, fostering payment and settlement system safety and efficiency, and promoting consumer protection and community development.
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The Decentralized System Structure and Its Philosophy
In establishing the Federal Reserve System, the United States was divided geographically into 12 Districts, each with a separately incorporated Reserve Bank. District boundaries were based on prevailing trade regions that existed in 1913 and related economic considerations, so they do not necessarily coincide with state lines.
Twelve Federal Reserve Districts operate independently but with supervision
Federal Reserve District boundaries are based on economic considerations; the Districts operate independently but under the supervision of the Federal Reserve Board of Governors.
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Federal Reserve Banks
01-Boston
02-New York
03-Philadelphia
04-Cleveland
05-Richmond
06-Atlanta
07-Chicago
08-St. Louis
09-Minneapolis
10-Kansas City
11-Dallas
12-San Francisco
Board
The Federal Reserve officially identifies Districts by number and Reserve Bank city.
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In the 12th District, the Seattle Branch serves Alaska, and the San Francisco Bank serves Hawaii. The System serves commonwealths and territories as follows: the New York Bank serves the Commonwealth of Puerto Rico and the U.S. Virgin Islands; the San Francisco Bank serves American Samoa, Guam, and the Commonwealth of the Northern Mariana Islands. The Board of Governors revised the branch boundaries of the System in February 1996.
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As originally envisioned, each of the 12 Reserve Banks was intended to operate independently from the other Reserve Banks. Variation was expected in discount rates--the interest rate that commercial banks were charged for borrowing funds from a Reserve Bank. The setting of a separately determined discount rate appropriate to each District was considered the most important tool of monetary policy at that time. The concept of national economic policymaking was not well developed, and the impact of open market operations--purchases and sales of U.S. government securities--on policymaking was less significant.
As the nation's economy became more integrated and more complex, through advances in technology, communications, transportation, and financial services, the effective conduct of monetary policy began to require increased collaboration and coordination throughout the System. This was accomplished in part through revisions to the Federal Reserve Act in 1933 and 1935 that together created the modern-day Federal Open Market Committee (FOMC).
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The Depository Institutions Deregulation and Monetary Control Act of 1980 (Monetary Control Act) introduced an even greater degree of coordination among Reserve Banks with respect to the pricing of financial services offered to depository institutions. There has also been a trend among Reserve Banks to centralize or consolidate many of their financial services and support functions and to standardize others. Reserve Banks have become more efficient by entering into intra-System service agreements that allocate responsibilities for services and functions that are national in scope among each of the 12 Reserve Banks.
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The U.S. Approach to Central Banking
The framers of the Federal Reserve Act purposely rejected the concept of a single central bank. Instead, they provided for a central banking "system" with three salient features: (1) a central governing Board, (2) a decentralized operating structure of 12 Reserve Banks, and (3) a combination of public and private characteristics.
Although parts of the Federal Reserve System share some characteristics with private-sector entities, the Federal Reserve was established to serve the public interest.
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There are three key entities in the Federal Reserve System: the Board of Governors, the Federal Reserve Banks (Reserve Banks), and the Federal Open Market Committee (FOMC). The Board of Governors, an agency of the federal government that reports to and is directly accountable to Congress, provides general guidance for the System and oversees the 12 Reserve Banks.
Within the System, certain responsibilities are shared between the Board of Governors in Washington, D.C., whose members are appointed by the President with the advice and consent of the Senate, and the Federal Reserve Banks and Branches, which constitute the System's operating presence around the country. While the Federal Reserve has frequent communication with executive branch and congressional officials, its decisions are made independently.
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The Three Key Federal Reserve Entities
The Federal Reserve Board of Governors (Board of Governors), the Federal Reserve Banks (Reserve Banks), and the Federal Open Market Committee (FOMC) make decisions that help promote the health of the U.S. economy and the stability of the U.S. financial system.
Three key entities, serving the public interest
The framers of the Federal Reserve Act developed a central banking system that would broadly represent the public interest.
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CONGRESS graphic positioned above the three key Federal Reserve entities' graphics: 'CONGRESS oversees the Federal Reserve System and its entities.' A dotted arrow leads down to the BOARD graphic: 'BOARD OF GOVERNORS is an independent agency of the federal government.' A dotted arrow leads right from the BOARD graphic to the BANKS graphic: 'FEDERAL RESERVE BANKS are the operating arms of the Federal Reserve System and are supervised by the Board of Governors.' Dotted arrows lead left from the BOARD and BANKS graphics to the FOMC graphic: 'FEDERAL OPEN MARKET COMMITTEE consists of the members of the Board of Governors and Reserve Bank presidents. The Chair of the Board is the FOMC Chair.
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Other Significant Entities Contributing to Federal Reserve Functions
Two other groups play important roles in the Federal Reserve System's core functions:
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depository institutions--banks, thrifts, and credit unions; and
Federal Reserve System advisory committees, which make recommendations to the Board of Governors and to the Reserve Banks regarding the System's responsibilities.
https://www.freeforex-signals.com/
Depository Institutions
Depository institutions offer transaction, or checking, accounts to the public, and may maintain accounts of their own at their local Federal Reserve Banks. Depository institutions are required to meet reserve requirements--that is, to keep a certain amount of cash on hand or in an account at a Reserve Bank based on the total balances in the checking accounts they hold.
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Depository institutions that have higher balances in their Reserve Bank account than they need to meet reserve requirements may lend to other depository institutions that need those funds to satisfy their own reserve requirements. This rate influences interest rates, asset prices and wealth, exchange rates, and thereby, aggregate demand in the economy. The FOMC sets a target for the federal funds rate at its meetings and authorizes actions called open market operations to achieve that target.
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Advisory Councils
Four advisory councils assist and advise the Board on matters of public policy.
Federal Advisory Council (FAC). This council, established by the Federal Reserve Act, comprises 12 representatives of the banking industry. The FAC ordinarily meets with the Board four times a year, as required by law. Annually, each Reserve Bank chooses one person to represent its District on the FAC. FAC members customarily serve three one-year terms and elect their own officers.
Community Depository Institutions Advisory Council (CDIAC). The CDIAC was originally established by the Board of Governors to obtain information and views from thrift institutions (savings and loan institutions and mutual savings banks) and credit unions. More recently, its membership has expanded to include community banks. Like the FAC, the CDIAC provides the Board of Governors with firsthand insight and information about the economy, lending conditions, and other issues.
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Model Validation Council. This council was established by the Board of Governors in 2012 to provide expert and independent advice on its process to rigorously assess the models used in stress tests of banking institutions. Stress tests are required under the Dodd-Frank Wall Street Reform and Consumer Protection Act. The council is intended to improve the quality of stress tests and thereby strengthen confidence in the stress-testing program.
Community Advisory Council (CAC). This council was formed by the Federal Reserve Board in 2015 to offer diverse perspectives on the economic circumstances and financial services needs of consumers and communities, with a particular focus on the concerns of low- and moderate-income populations. The CAC complements the FAC and CDIAC, whose members represent depository institutions. The CAC meets semiannually with members of the Board of Governors. The 15 CAC members serve staggered three-year terms and are selected by the Board through a public nomination process.
Federal Reserve Banks also have their own advisory committees. Perhaps the most important of these are committees that advise the Banks on agricultural, small business, and labor matters. The Federal Reserve Board solicits the views of each of these committees biannually. More on https://www.freeforex-signals.com/
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What We Don't Know

https://xrpcommunity.blog/what-we-dont-know/
Lots to discuss in today's blog covering the latest XRP News - along with some intriguing possibilities:
 
For 𝗥𝗶𝗽𝗽𝗹𝗲, Money Tap goes live, iRemit signs on to RippleNet, and Blockchain Week in San Francisco gets started.
For 𝗖𝗼𝗶𝗹, version 2 of ILP is released, and Coil publishes their new official 'partner list' for those that are curious.
For 𝗫𝗥𝗣, ForEx platforms are all rushing to be the first to add XRP derivatives, and a new wallet application adds support for XRP as one of its first endeavors.
 
I hope you enjoy the read & please leave any feedback below!
 
Sincerely,
-Hodor
submitted by Hodor7777 to Ripple [link] [comments]

Facebook has allocated $ 1 billion for the construction of houses in California

Facebook has allocated $ 1 billion for the construction of houses in California
Facebook has allocated $ 1 billion to build affordable housing in California, the company said. The founder of the social network, Mark Zuckerberg, also spoke about this.
https://preview.redd.it/dajc1x190au31.png?width=840&format=png&auto=webp&s=03dfcd1ff78ab7fcc70da240406a730ba37db969
The headquarters of Facebook, like many other large IT companies, is located in California. Highly-paid specialists are moving to the staff - because of this, housing prices are rising, and families with low incomes have problems.
According to Facebook, the state government cannot independently overcome the affordable housing crisis. Facebook's investments will be directed to the construction of 20 thousand homes for "vital workers" - teachers, nurses, and emergency workers.
The problem of affordable housing affects not only low-income families but also the middle class. In San Francisco, a family of four with an income of more than $ 100 thousand per year is considered to be low-income, the company said.
Over the next ten years, Facebook plans to invest another $ 1 billion in state housing:
• $ 250 million for the construction of housing complexes for people with different incomes on empty land owned by the state.
• $ 150 million to build affordable housing, including housing for the homeless, in the San Francisco Bay area.
• $ 225 million for construction on Facebook-owned land in Menlo Park, where the company's headquarters are located. There will be built more than 1.5 thousand housing units for people with different income levels.
• $ 25 million for housing for teachers and other professionals for the San Mateo and Santa Clara school districts.
• $ 350 million for additional liabilities.
By the way, In June 2019, Google announced that it would invest $ 1 billion in housing construction in San Francisco. $ 750 million will be spent on the development of 15 thousand houses, and $ 250 million will be spent on creating an investment fund for developers who will build five thousand units of affordable housing.
You can find more information about the stock market, commodity market, and FOREX on the ITRADER site.
This material is considered a marketing communication and does not contain, and should not be construed as containing, investment advice or an investment recommendation or, an offer of or solicitation for any transactions in financial instruments.
Risk Warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 84.16% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
Legal Information: ITRADER is operated by Hoch Capital Ltd., a Cypriot Investment Firm (CIF), authorized and regulated by the Cyprus Securities and Exchange Commission (CySEC) under the license no. 198/13, in accordance with the Markets in Financial Instruments Directive (MiFID II).
submitted by Itrader_com to u/Itrader_com [link] [comments]

Tackle Trading Halftime Report July 15th 2019

Markets are holding their all-time highs, and earnings season is upon us once again. That’s today on the Halftime Report.

https://youtu.be/yEZcCg769XY

#HTC #TeamTackle #markets #futures #economy #stocks #options #trading #report #stockmarket #forex #tradewar
Something fun (July 15th )
On this day in 2006, the San Francisco-based podcasting company Odeo officially releases Twttr—later changed to Twitter—its short messaging service (SMS) for groups, to the public.
Subscribe and if you are watching this later you can always ask a question down in the comments section below
submitted by timjusticeutah to StockMarket [link] [comments]

What We Don't Know

https://xrpcommunity.blog/what-we-dont-know/
Lots to discuss in today's blog covering the latest XRP News - along with some intriguing possibilities:
 
For 𝗥𝗶𝗽𝗽𝗹𝗲, Money Tap goes live, iRemit signs on to RippleNet, and Blockchain Week in San Francisco gets started.
For 𝗖𝗼𝗶𝗹, version 2 of ILP is released, and Coil publishes their new official 'partner list' for those that are curious.
For 𝗫𝗥𝗣, ForEx platforms are all rushing to be the first to add XRP derivatives, and a new wallet application adds support for XRP as one of its first endeavors.
 
I hope you enjoy the read & please leave any feedback below!
 
Sincerely,
-Hodor
submitted by Hodor7777 to XRP [link] [comments]

Sonder rental service raised to $ 210 million, valuing over $ 1 billion

Sonder rental service raised to $ 210 million, valuing over $ 1 billion
The rental service of premium apartments Sonder $210 millions during round D, with an estimate of more than $ 1 billion, the company blog says.
https://preview.redd.it/lghgr136mfa31.jpg?width=1024&format=pjpg&auto=webp&s=5a614400e5b23538af3b57ce01f1504a98a513c5
Investment companies Valor Equity, Westcap, and venture investor Nicholas Pritzker through Tao Capital Partners have become the leaders of the round. By the end of the summer of 2019, Sonder plans to raise another $ 15 million.
“The future of hospitality will be dynamic,” writes Sonder co-founder and chief executive officer Francis Davidson in a statement.
“It will demand flexibility. And that’s what our diverse, unique and adventure-seeking world is like too. That’s why, while our spaces will continue to take on new forms and expand to exciting neighborhoods around the world, a Sonder will always be unforgettable,” he added.
The company will spend the raised funds on opening a second headquarters in Canada and expanding the staff of designers, developers, and finance specialists.
Startup Sonder was founded in 2012 in San Francisco. Users can rent premium apartments without intermediaries using the service. Employees of the company are engaged in the design and equipment of flats, as well as ensure that customers have all the essentials.
“Canada has such a trajectory and momentum and it’s the obvious choice in my view,” Mr. Davidson said in the interview with The Globe and Mail. “You know the stories about the Bay area and how absurd the housing market has become. San Francisco is one of the most expensive cities in the world and that’s reflected in the salaries as well and the competitive war for talent. It would be unsustainable for us to continue to grow here."
There are more than 8,500 apartments in 20 cities of Europe and North America at the disposal of Sonder, according to TechCrunch. By the end of 2019, the company plans to increase revenue to $ 400 million.
You can find more information about the stock market, commodity market, and FOREX on the ITRADER site.
This material is considered a marketing communication and does not contain, and should not be construed as containing, investment advice or an investment recommendation or, an offer of or solicitation for any transactions in financial instruments. Past performance is not a reliable indicator of future results.
Risk Warning: CFDs are complex instruments and come with a high risk of losing money rapidly due to leverage. 87.07% of retail investor accounts lose money when trading CFDs with this provider. You should consider whether you understand how CFDs work and whether you can afford to take the high risk of losing your money.
Legal Information: ITRADER is operated by Hoch Capital Ltd., a Cypriot Investment Firm (CIF), authorized and regulated by the Cyprus Securities and Exchange Commission (CySEC) under the license no. 198/13, in accordance with the Markets in Financial Instruments Directive (MiFID II).
submitted by Itrader_com to u/Itrader_com [link] [comments]

Karma Credit full guide.

Karma Credit full guide.

https://preview.redd.it/qge62oq0u3931.jpg?width=551&format=pjpg&auto=webp&s=191f92ccb35f21b0c4783c8736219c5ba276fd35

Why Credit Karma Is Free and How It Makes Money?

Sensible shoppers know their credit score impacts their potential to get a mortgage, their mortgage rates, credit card approvals and even a job or housing utility. So it’s an excellent behaviour to evaluation your credit score report and rating regularly – not solely for accuracy but in addition to determining methods to may enhance your rating.
Federal legislation mandates that everybody has the precise to 1 free credit report from every of the large three credit-reporting companies – Equifax, Experian and TransUnion – every 12 months. To acquire a duplicate, shoppers have to use by AnnualCreditReport.com, the official credit-report web site. However, these experiences do not embody your credit score rating, which is a crucial monetary to determine everybody ought to know. Up to now, the one strategy to get hold of it was by buying the rating straight from every company, which regularly got here at a hefty worth.
However now, Credit score Karma, a San Francisco–primarily based firm based in 2007, has shaken issues up by providing free, ongoing entry to your credit score scores and experiences from TransUnion and Equifax. You join with creditkarma.com and would not have to register a bank card as is usually the case with different websites.
When you’re a member, you may monitor your credit score as usually as you want. Credit score Karma additionally gives free online tools and knowledge that can assist you to perceive your rating. The service additionally gives personalised suggestions to enhance your rating, together with decreasing your credit score utilization or bettering your on-time funds.

Why Make All This Free?

Credit score Karma has made transparency central to its business model. The corporate goals to demystify credit score for the typical particular person and make it simple to know.
“The corporate was based with the idea that buyers ought to have entry to their knowledge totally free,” in accordance with a spokesperson. “In any case, it's their knowledge, they usually judged by it in practically every side of their lives.”
One other a part of the mission helps folks perceive their very own financial health.
“Scores have been constructed for lenders and statisticians,” Credit score Karma founder and CEO Ken Lin stated. “Shoppers weren't the meant viewers.”

So What’s the Enterprise Mannequin?

Since Credit score Karma is a for-profit enterprise and not a charity, how does it generate profits? Relaxation assured, it's not promoting the knowledge you share so as to get your credit score experiences from its web site. In line with the corporate web site, its revenues come from tailor-made, focused promoting by monetary firms on creditkarma.com. Its enterprise mannequin relies on discovering a win for everybody – the buyer, the financial institutions that publicize merchandise and Credit score Karma’s personal bottom line.
Credit score Karma has greater than 85 million members as of Jan. 2019, probably the most recently-available statistic. It has the flexibility to do a sturdy evaluation and use algorithms to pick related advertisements for particular folks. To monetary advertisers, this implies the location is healthier capable of matching them with shoppers who're extra seemingly to make use of their companies. Credit score Karma will get paid for this lead era primarily based on agreements with its monetary promoting companions.
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Right here’s How It Works

By accessing your credit score experiences, Credit score Karma suggests credit score merchandise primarily based in your present historical past. It additionally makes use of your credit score rating and historical past to find out which merchandise — bank cards, loans, insurance coverage, and different banking merchandise – including excessive approval odds.
“In the event, you make the most of that chance, we should always generate profits, you need to lower your expenses, and the financial institution ought to get a brand new buyer,” Lin stated in a December 2014 Reddit Q&A. “The loser within the equation was that financial institution that was charging an excessive amount of.”

The Backside Line

Credit score Karma is an internet personal-finance platform that guarantees to take the guesswork out of credit score. It lets you monitor your credit score experiences and scores totally free and provides different instruments and companies primarily based in your profile. The corporate will get compensated by matching shoppers with tailor-made product advertisements which might be primarily based on their credit score profile and the probability that they are going to be accepted.
submitted by Red-its to forexinfo [link] [comments]

What We Don't Know

https://xrpcommunity.blog/what-we-dont-know/
Lots to discuss in today's blog covering the latest XRP News - along with some intriguing possibilities:
 
For 𝗥𝗶𝗽𝗽𝗹𝗲, Money Tap goes live, iRemit signs on to RippleNet, and Blockchain Week in San Francisco gets started.
For 𝗖𝗼𝗶𝗹, version 2 of ILP is released, and Coil publishes their new official 'partner list' for those that are curious.
For 𝗫𝗥𝗣, ForEx platforms are all rushing to be the first to add XRP derivatives, and a new wallet application adds support for XRP as one of its first endeavors.
 
I hope you enjoy the read & please leave any feedback below!
 
Sincerely,
-Hodor
submitted by Hodor7777 to CryptoCurrency [link] [comments]

Importance of Social Trading in Forex Brokerage

Social Trading Platforms has revolutionized the forex market to a great extent. It has been proven to be quite beneficial for new traders to learn new skills, strategies, and tactics for forex world in a short duration of time. But the question arises, “How are social trading platforms benefiting the forex brokers?”
If you are one of the forex brokers who already know some good strategies to earn good money in forex market, social trading platform might seem non-beneficial for you. But that is not true. A social trading platform is a strong tool from which forex brokers can highly benefit from.
Social Trading platform is a place where there is low risk of losing money in a forex market and therefore, new traders do not hesitate participating in forex market via these platforms. Participation of these new traders opens up a wide range of clients that brokers can acquire by having conversations, building trusts and gaining reliability from new traders. The lifetime of an average trader on social trading platforms are 14% higher than the ones who are not.
People follow experienced brokers on these social trading platforms. By making a good image and building a good relationship with your followers, you can actually retain all the followers. The new traders will build a trust in you and will be comfortable with your brokerage instead of going to a very new broker again.
Social trading platforms connects traders from almost all regions of the world. This can be the biggest platform to make more number of clientele. It will increase your trading activity by more than 50%. One of the reason behind this is traders can be from different time zones and will be active even in your downtime. Another reason for increased trading activity is whenever a broker opens a position, every new trader copying will also open the same position at the same time. When profiting by traders, these traders spend more time on these platforms which eventually increases trading activity and retention.
The attrition rates of social trading platforms are thus very low and it helps in boosting the retention of the traders. As a broker gets more and more followers, they tend to become a big community, attracting more new traders. The cycle thus grows and a forex broker can highly benefit from such social trading platforms, acquiring more and more traders every day.
Here is a list of forex brokers who are earning a big time using social trading platform as a tool.
  1. Jeroen Dekker with a gain percentage of 123.20% and 1905 Copiers.
  2. Fabian Gerspacher with a gain percentage of 47.08% and 1490 Copiers.
  3. Sergejs Kovalonoks with a gain percentage of 41.28% and 1631 Copiers.
There are more like them such as: LaserWinner on Zulu platform who has drawdown about 3 times than the average gains of other traders who do not use social trading platform opening 12 trades at the same time.
The average pip gains on these social trading platforms are at least 11-12 per trade. A broker named as TrendingFund have made over $15000 profit for their live followers. There are various such brokers (Janhne, 4exPirate, Jaynemenis, EdleMetalle, Luck Pound, Berrau, SyConNET, Liam Davies) who are making limitless profit from such social trading platforms.
The fond of social trading platforms are growing more and more in countries like Sydney, Tokyo, Hong-Kong, Bahrain, Zurich, London, Chicago, New York, San Francisco, Los Angeles, and many European and Asian countries as well. It has become the largest financial market in the world and registered a turnaround of more than 1600 billion dollars more and more traders are signing up on these social trading platforms to make a good trade and earn money. As the number of these new traders grows, the opportunities of high-end brokers to make a good client list grows.
How to become a Broker that other’s follow? Make a good record: Do not expect that as soon as you join a trading platform, people will start to follow you. People rely on your track record. So in early stages build a good track record which will encourage others to follow you.
Make sure you followers are also making good money: As soon as your followers will start making profits, it will encourage other traders to follow you. Real money speaks for itself.
Make a clear trading strategy and the same goes with your profile: The better your profile is, the reliable you look to the other traders.
Do not rely on automated systems completely: People rely on brokers who keep on making manual interventions with the change in market.
Set stop levels to manage risk: If you don’t keep a stop level, it will mean unlimited risk for your followers.
Keep check on your draw-down: It acts as a negative quotient for a broker’s account.
Keep a check on your winning percentage: Anything above 85% will portray that you carry a high draw-down risk because it will look like you were holding on to a losing position until it eventually turned positive again.
Communicate with your followers frequently: Keep them updated about your strategy and market. This habit will give your followers a sense that you analyze the market closely and hence you will react and adjust to market change effectively and much sooner.
Followers and traders look closely on how you react and behaved in a bad run: Keeping calm and sticking to your tried and tested principals could be your mantras. Do not start chasing your losses. It creates a bad impression on you followers and other traders.
Keep a track of your risks and traders and gradually you will build a remarkable network with immense profit. Internet in booming these days and so are these social trading platforms. Using these platforms can turn into your best decisions and one of your major income tool.
Reference Link - https://bit.ly/2rE9lli Visit www.simple2trade.com for more information.
submitted by Simple2Trade to u/Simple2Trade [link] [comments]

What We Don't Know

https://xrpcommunity.blog/what-we-dont-know/
Lots to discuss in today's blog covering the latest XRP News - along with some intriguing possibilities:
 
For 𝗥𝗶𝗽𝗽𝗹𝗲, Money Tap goes live, iRemit signs on to RippleNet, and Blockchain Week in San Francisco gets started.
For 𝗖𝗼𝗶𝗹, version 2 of ILP is released, and Coil publishes their new official 'partner list' for those that are curious.
For 𝗫𝗥𝗣, ForEx platforms are all rushing to be the first to add XRP derivatives, and a new wallet application adds support for XRP as one of its first endeavors.
 
I hope you enjoy the read & please leave any feedback below!
 
Sincerely,
-Hodor
submitted by Hodor7777 to AlternativeCoin [link] [comments]

What We Don't Know

https://xrpcommunity.blog/what-we-dont-know/
Lots to discuss in today's blog covering the latest XRP News - along with some intriguing possibilities:
 
For 𝗥𝗶𝗽𝗽𝗹𝗲, Money Tap goes live, iRemit signs on to RippleNet, and Blockchain Week in San Francisco gets started.
For 𝗖𝗼𝗶𝗹, version 2 of ILP is released, and Coil publishes their new official 'partner list' for those that are curious.
For 𝗫𝗥𝗣, ForEx platforms are all rushing to be the first to add XRP derivatives, and a new wallet application adds support for XRP as one of its first endeavors.
 
I hope you enjoy the read & please leave any feedback below!
 
Sincerely,
-Hodor
submitted by Hodor7777 to RippleTalk [link] [comments]

What We Don't Know

https://xrpcommunity.blog/what-we-dont-know/
Lots to discuss in today's blog covering the latest XRP News - along with some intriguing possibilities:
 
For 𝗥𝗶𝗽𝗽𝗹𝗲, Money Tap goes live, iRemit signs on to RippleNet, and Blockchain Week in San Francisco gets started.
For 𝗖𝗼𝗶𝗹, version 2 of ILP is released, and Coil publishes their new official 'partner list' for those that are curious.
For 𝗫𝗥𝗣, ForEx platforms are all rushing to be the first to add XRP derivatives, and a new wallet application adds support for XRP as one of its first endeavors.
 
I hope you enjoy the read & please leave any feedback below!
 
Sincerely,
-Hodor
submitted by Hodor7777 to CryptoMarkets [link] [comments]

Can Chatbots be Intelligent?

Can Chatbots be Intelligent?
Businesses devise a billion ways of wooing customers, every day. If a chatbot can be a useful accomplice toward that end, why not give it a try? Afterall, who wouldn’t want a tool that can hold an intelligent conversation with customers, make them feel comfortable and bind them to your business.
Is it possible?
Recall that memorable scene from the award winning 2003 film, Lost in Translation, where an aging American actor, Bob Harris (played by Bill Murray), is on a set in Tokyo to shoot a whiskey commercial. The director, Yutaka Tadokoro, begins instructing Bob in Japanese, and the slapdash interpreter fails to capture the meaning—namely, it gets lost in translation. The process bogs down, and the commercial is a disaster.
You don’t want human-to-computer interactions to end up that way, right? But one-way communications prove to be too exasperating to users. People give up on trying to get a machine understand their intentions in a few clicks and presses. There’s that missing vibe, that interactive component in any human-computer engagement; and it’s the main reason a vast majority feels they must adapt to the technologies they use, rather than technology adapting to them.
https://preview.redd.it/mzxagl6zwrd11.jpg?width=220&format=pjpg&auto=webp&s=49da6f90e91dc9686b28c337b159b74c7f6dd3bf
Enter 2018, and we have artificial intelligence (AI)-driven chatbots that are revolutionizing human-computer interactions just the way the humans want it. Chatbots today are more adaptive to the way people speak and mimic their emotions to the nearest binary. 2018 is paving the way for a great chatbot innovation.
Meanwhile, developers are working tirelessly to bring in new consumer experiences to market. For example, once WhatsApp opens to bots next year, it will unlock direct access to over one billion new users. Chatbots are continuing to push the envelope of new technology further.
To reckon with, a chatbot isn’t an additional handle on your website or a fancy add-on. It’s the need of the hour for every business that’s flourishing or aspires to flourish. In a market that’s fiercely competitive, customers expect to receive accurate information quickly enough to make a decision. As a business owner, you need to cater to that need. If you don’t have funds to recruit more people to answer all the questions customers throw at you, then deploying a smart chatbot can rescue your business in that case.
https://preview.redd.it/vpuz6mb1xrd11.png?width=800&format=png&auto=webp&s=f615929b9f190e38afe38c3d59ba084dbfc9747b
But then intelligence also matters as it determines the kind of tasks or conversations your chatbot can handle. Needless to say, if you have a clear set of activities preconceived in your mind, you can build awesome customized bots.
Let’s take you through a short read about 5 important things that can make a chatbot intelligent.
1. Bots need to understand human conversations:
The bot needs to be quick and intelligent enough to understand the context of the conversation happening in real time. It’s about sense and sensibility, in conversations.
Normal human conversations are replete with instances of switching over context while talking, while at work - resuming a task, discarding the current task and switching to a newer one, or in general hold a task while the other is being executed and work on follow on. Human conversations tend to switch between contexts and variables (intents and entities), often combining multiple things into one.
Sample this response to a flight booking bot for example, "My Destination? San Francisco. But how's the weather over there?"
What should be the bot’s response here - capture the entity and continue booking or check the weather before that?
In this case, chatbots need to
  • have context switching abilities to handle interruptions smartly and provide full control to developers in defining the experience
  • capture unattended interruptions from a conversation flow and keep them accessible
  • be equipped with human conversations and have the ability to hold and resume a dialog for a certain amount of time and execute the tasks in sequential order, and especially while understanding human emotions
You may argue that a bot is after all a machine and cannot absorb emotions, but all said and done, it also depends partly on how much capability you build into it. So, it must be clever enough to filter the feelings of the customer. The bot needs to understand, analyze and respond based on the human emotion. For instance, if a customer messages an online shopping portal saying, “Your service is amazing, the delivery of items are always 2 to 3 days delayed”, none can miss the biting sarcasm intended in the statement. But if the bot isn’t developed to cater to this sort of sentiment, it may end up answering in a horribly awry manner.
https://preview.redd.it/a3p88148xrd11.png?width=800&format=png&auto=webp&s=f589d16a1d1407018f26c460404a69def2a4cf52
Intelligent bots will have: Sentiment analysis, context switching, hold and resume feature.
2. Standardization and uniformity in bot utterances
It’s important to remember that a chatbot must give vibes closest to humans as much as possible. The way humans carry the stamp of their personality and style, bots too need to be enabled to do that. When asked about something, a bot must respond in a particular way and pattern that sounds like a human. This warms the usecustomer and makes him feel at ease during the conversation with a chatbot.
“You must have direct connection with your customers as part of your brand’s identity, even more than your website that doesn’t seem to have an identity, this will have a personality.”- William Meisel
Thus, chatbots need to
  • understand and remember the user context - make all user information available in a single location and accessible
  • store the user profile with information like first name, last name and make it accessible to all the systems for the convenience of the user.
  • remember what a specific user talks to a specific bot, in an enterprise scenario it needs to keep certain features such as prompt for ‘Password length’ / ‘folder for HR information, constant for all the employees in the enterprise
It’s important for a chatbot to keep a current task which is being executed in an active mode and store information.
As a corollary, customers appreciate and connect with the support executives (call support executives/shopping store helpers) who can remember their preferences, can validate their purchases, help them with more information on products, and basically give importance to them while attending to their queries. For example, in a Forex platform the currency against each country is maintained constant across all systems for everyone to access. The platform tends to store the first and last name of the customer, their last transaction and their payment options.
Chatbots now have the responsibility to standardize their understanding of a customer and respond to them accordingly, whether in the manner of communicating or the speed with which they resolve their query. Chatbots need to converse with customers to extract this information and keep up to their pace.
https://preview.redd.it/flps4l6bxrd11.png?width=800&format=png&auto=webp&s=dee88672cef176ed92778e962a9029543ee6cbd9
Intelligent bots will have features like: Small talk, Bot user session, Enterprise context, User context and User session
3. Making the complex conversation sound simple
Chatbots are expected to break the complex structures of conversations into simpler tones and bring to a logical conclusion. Here’s where ‘Artificial Intelligence’ comes into play. Among the many types of chatbots, the most common ones are task specific that cater to a specific job, with pre-loaded answers and information. These type of chatbots have the ability to gather data from the internet, previous company database and other sources. Therefore, these bots are able to reply to diverse queries.
The intelligent bots, in addition, have the potential to mold the conversation the way the customer wants and guide him towards a specific solution. In an office setup, it’s common for a conversation like, “Hey Lisa, set up a meeting with Phani if he’s free”, to be handled between a Boss and Secretary. To enable that, the chatbot needs to first look up the calendar of ‘Phani’, find a suitable time for a meeting in sync with the Boss’s schedule and then reschedule the meeting. Chatbots thus need to break up complex sounding conversation into simpler nuances and then execute the task sequentially and logically.
Intelligent bots can also break down the conversation to its essence and action items. Let’s look at a very common scenario: ‘Customer tries to book tickets for 14th August, confirms on the choice of airlines, origin and destination and navigates to the next page, but feels that the pricing is very high. The customer then asks the bot to check for ‘15th August instead’. Here, based on the situation, the chatbot is acting and will be able to display the new prices by changing the date of journey.
https://preview.redd.it/bzfoasiexrd11.png?width=800&format=png&auto=webp&s=67d134343093daf3d239c9bcfd0b315fb687d333
Intelligent bots will have features like: Amend Entities, Planning.
4. Adapting to human utterances
In the context of human–computer communication, forming assumptions about what a system can do and understand is problematic for most people. In turn, forming assumptions about how users will “talk to” the system is also likely to be problematic for system developers. The potential for variability in how users will communicate with a system is enormous and has been dubbed “The Vocabulary Problem.”
An intelligent chatbot can not only handle queries smartly and remembers them through the session, but also learns new things with every conversation that happens, saves them and uses them appropriately for future instances.
In a human conversation and especially over voice, there are bound to be
  • expectation of elaboration or confirmation (“can you hear me?”, “I do not follow”)
  • request for repeat of sentences (“ I’m sorry I couldn’t hear that, can you please repeat it again?” “Sorry, can you repeat?”)
  • pauses (“can you please hold? [pause] thank you!”)
  • interruptions (“the number is 212-” “sorry can you start over?” )
The simplest thing to do when writing responses to command and inquiry utterances in a conversational UI is to get straight to the point: respond with facts. That’ll remove a lot of the ambiguity and simplify the dialogue.
It’s up to the intelligent chatbot to adapt to the way the human responds - with the referential context (or) pauses (or) specific context (or) synonyms (or) repetition (or) abbreviations (or) variations in dialect. The chatbot needs to map it pre-contextually. But like their human counterparts, chatbots’ conversational skills determine whether they earn you seamless, scalable transactions or just another horde of pissed-off customers. This needs a lot of training by the chatbot to help continue the conversations to the logical ending.
https://preview.redd.it/u5g63jovxrd11.jpg?width=1581&format=pjpg&auto=webp&s=1f394c933c28c1079cf290156de09f285b2054d1
Intelligent bots will have features like: Sync, Repeat, Interruptions and Pauses.
5. When bots are kept simple
Although AI chatbots’ task is complicated and they need to be built up that way, yet the effort should be made to keep it simple. They need to be comprehensive yet detailed. A customer initiating a conversation with a chatbot might already be troubled due to some poor service related issue, hence it’s better not to irk him further with complex interaction. The bot should be answering the already irked usecustomer in a most precise way possible without confusing the person further. It’s easy to figure out if you are talking to a bot or a human. Make sure the customer knows that they are talking to a bot by welcoming them with some sort of welcome message. Nobody likes being told the same thing over and over again, so why do chatbots keep doing it? Bots should detect when they’re about to repeat a previously given answer and switch strategies. If the answer didn’t resolve the user’s needs before, repeating it certainly won’t either. From the user interface, to the dialog flow the experience should be pleasant, and information given to the user needs to be valuable and crisp.
Twitter also provides the option to give your bot a custom name for different sections of the bot, which can be of use. It’s important to show what the chatbot is capable of doing with Quick Replies. The customer needs to be a guided stepwise within the conversation and with enough accessible options to choose from.
Lastly, there must always be a way to end the conversation with the bot and switch to a human agent. Many bots today include a Quick Reply to “Speak to an Agent”. Certain actions, such as open-ended visual search, are challenging to complete in a messaging environment. In those situations, bots can route to a website or app to help the user complete goals they couldn’t execute within the context of chat.
https://preview.redd.it/gc1j3z4sxrd11.jpg?width=578&format=pjpg&auto=webp&s=331b9de9fcfa0c26ddf34eeb93783e909ecab6cf
Intelligent bots will have features like: Simple UI, Simpler steps, Agent Handoff
In a nutshell, a chatbot must be programmed to not just provide optimum solutions to problems, but also converse with customers in an engaging manner. The interaction must be exciting and the bot must appear to be curious enough to answer all queries. People prefer lively interactions and a chatbot needs to meet that expectation.
https://preview.redd.it/erd22jzpxrd11.jpg?width=1505&format=pjpg&auto=webp&s=d83e0de6283b47b1210a912d26e23dd8023d3afc
For example, there are bots aligned with online shopping portals that can actually sense your liking and disliking. They can cancel orders for you accordingly and order the stuff that you actually want. Businesses are now moving way ahead than what anyone had ever thought of earlier. If we have an amazing concept like messenger or Kore.aiBots Platform, then why not use them to the full extent. Their proficiency in collecting massive data in a short period of time can be used to forecast upcoming business. You know it better how to get edgy with this interesting concept. The more you experiment with chatbots, the more you would get to know the wonders you can create with these little machines.
Some of the Global 2,000 companies and large enterprises are using Kore.ai Bots Platform to build their chatbots. How about you?
To get everything you need to build and deploy intelligent, enterprise-grade chatbots — without unnecessary complexity, click on Build your first BOT.
To ask questions, get tips, learn and grow with Kore.AI developer community, click on Ask questions on Developer Community.
Also Read on : Chatbots (of) the Future
Thank You
Phani Marupaka
LinkedIn| Tweet at : @phani_teja
submitted by PhaniTeja4 to u/PhaniTeja4 [link] [comments]

Can Chatbots be Intelligent?

Can Chatbots be Intelligent?
Businesses devise a billion ways of wooing customers, every day. If a chatbot can be a useful accomplice toward that end, why not give it a try? Afterall, who wouldn’t want a tool that can hold an intelligent conversation with customers, make them feel comfortable and bind them to your business.
Is it possible?
Recall that memorable scene from the award winning 2003 film, Lost in Translation, where an aging American actor, Bob Harris (played by Bill Murray), is on a set in Tokyo to shoot a whiskey commercial. The director, Yutaka Tadokoro, begins instructing Bob in Japanese, and the slapdash interpreter fails to capture the meaning—namely, it gets lost in translation. The process bogs down, and the commercial is a disaster.
https://preview.redd.it/6vqwiux3urd11.jpg?width=220&format=pjpg&auto=webp&s=fd5151869d3e932a32f56fc969406633cd3ba623
You don’t want human-to-computer interactions to end up that way, right? But one-way communications prove to be too exasperating to users. People give up on trying to get a machine understand their intentions in a few clicks and presses. There’s that missing vibe, that interactive component in any human-computer engagement; and it’s the main reason a vast majority feels they must adapt to the technologies they use, rather than technology adapting to them.
Enter 2018, and we have artificial intelligence (AI)-driven chatbots that are revolutionizing human-computer interactions just the way the humans want it. Chatbots today are more adaptive to the way people speak and mimic their emotions to the nearest binary. 2018 is paving the way for a great chatbot innovation.
https://preview.redd.it/27twgl16urd11.png?width=800&format=png&auto=webp&s=c2a83408e1f5a9495428fff1f4cc0414d30b8d84
Meanwhile, developers are working tirelessly to bring in new consumer experiences to market. For example, once WhatsApp opens to bots next year, it will unlock direct access to over one billion new users. Chatbots are continuing to push the envelope of new technology further.
To reckon with, a chatbot isn’t an additional handle on your website or a fancy add-on. It’s the need of the hour for every business that’s flourishing or aspires to flourish. In a market that’s fiercely competitive, customers expect to receive accurate information quickly enough to make a decision. As a business owner, you need to cater to that need. If you don’t have funds to recruit more people to answer all the questions customers throw at you, then deploying a smart chatbot can rescue your business in that case.
But then intelligence also matters as it determines the kind of tasks or conversations your chatbot can handle. Needless to say, if you have a clear set of activities preconceived in your mind, you can build awesome customized bots.
Let’s take you through a short read about 5 important things that can make a chatbot intelligent.
1. Bots need to understand human conversations:
The bot needs to be quick and intelligent enough to understand the context of the conversation happening in real time. It’s about sense and sensibility, in conversations.
Normal human conversations are replete with instances of switching over context while talking, while at work - resuming a task, discarding the current task and switching to a newer one, or in general hold a task while the other is being executed and work on follow on. Human conversations tend to switch between contexts and variables (intents and entities), often combining multiple things into one.
Sample this response to a flight booking bot for example, "My Destination? San Francisco. But how's the weather over there?"
What should be the bot’s response here - capture the entity and continue booking or check the weather before that?
In this case, chatbots need to
  • have context switching abilities to handle interruptions smartly and provide full control to developers in defining the experience
  • capture unattended interruptions from a conversation flow and keep them accessible
  • be equipped with human conversations and have the ability to hold and resume a dialog for a certain amount of time and execute the tasks in sequential order, and especially while understanding human emotions
You may argue that a bot is after all a machine and cannot absorb emotions, but all said and done, it also depends partly on how much capability you build into it. So, it must be clever enough to filter the feelings of the customer. The bot needs to understand, analyze and respond based on the human emotion. For instance, if a customer messages an online shopping portal saying, “Your service is amazing, the delivery of items are always 2 to 3 days delayed”, none can miss the biting sarcasm intended in the statement. But if the bot isn’t developed to cater to this sort of sentiment, it may end up answering in a horribly awry manner.
Intelligent bots will have: Sentiment analysis, context switching, hold and resume feature.
2. Standardization and uniformity in bot utterances
It’s important to remember that a chatbot must give vibes closest to humans as much as possible. The way humans carry the stamp of their personality and style, bots too need to be enabled to do that. When asked about something, a bot must respond in a particular way and pattern that sounds like a human. This warms the usecustomer and makes him feel at ease during the conversation with a chatbot.
“You must have direct connection with your customers as part of your brand’s identity, even more than your website that doesn’t seem to have an identity, this will have a personality.”- William Meisel
Thus, chatbots need to
  • understand and remember the user context - make all user information available in a single location and accessible
  • store the user profile with information like first name, last name and make it accessible to all the systems for the convenience of the user.
  • remember what a specific user talks to a specific bot, in an enterprise scenario it needs to keep certain features such as prompt for ‘Password length’ / ‘folder for HR information, constant for all the employees in the enterprise
It’s important for a chatbot to keep a current task which is being executed in an active mode and store information.
As a corollary, customers appreciate and connect with the support executives (call support executives/shopping store helpers) who can remember their preferences, can validate their purchases, help them with more information on products, and basically give importance to them while attending to their queries. For example, in a Forex platform the currency against each country is maintained constant across all systems for everyone to access. The platform tends to store the first and last name of the customer, their last transaction and their payment options.
Chatbots now have the responsibility to standardize their understanding of a customer and respond to them accordingly, whether in the manner of communicating or the speed with which they resolve their query. Chatbots need to converse with customers to extract this information and keep up to their pace.
Intelligent bots will have features like: Small talk, Bot user session, Enterprise context, User context and User session
3. Making the complex conversation sound simple
Chatbots are expected to break the complex structures of conversations into simpler tones and bring to a logical conclusion. Here’s where ‘Artificial Intelligence’ comes into play. Among the many types of chatbots, the most common ones are task specific that cater to a specific job, with pre-loaded answers and information. These type of chatbots have the ability to gather data from the internet, previous company database and other sources. Therefore, these bots are able to reply to diverse queries.
The intelligent bots, in addition, have the potential to mold the conversation the way the customer wants and guide him towards a specific solution. In an office setup, it’s common for a conversation like, “Hey Lisa, set up a meeting with Phani if he’s free”, to be handled between a Boss and Secretary. To enable that, the chatbot needs to first look up the calendar of ‘Phani’, find a suitable time for a meeting in sync with the Boss’s schedule and then reschedule the meeting. Chatbots thus need to break up complex sounding conversation into simpler nuances and then execute the task sequentially and logically.
Intelligent bots can also break down the conversation to its essence and action items. Let’s look at a very common scenario: ‘Customer tries to book tickets for 14th August, confirms on the choice of airlines, origin and destination and navigates to the next page, but feels that the pricing is very high. The customer then asks the bot to check for ‘15th August instead’. Here, based on the situation, the chatbot is acting and will be able to display the new prices by changing the date of journey.
Intelligent bots will have features like: Amend Entities, Planning.
4. Adapting to human utterances
In the context of human–computer communication, forming assumptions about what a system can do and understand is problematic for most people. In turn, forming assumptions about how users will “talk to” the system is also likely to be problematic for system developers. The potential for variability in how users will communicate with a system is enormous and has been dubbed “The Vocabulary Problem.”
An intelligent chatbot can not only handle queries smartly and remembers them through the session, but also learns new things with every conversation that happens, saves them and uses them appropriately for future instances.
In a human conversation and especially over voice, there are bound to be
  • expectation of elaboration or confirmation (“can you hear me?”, “I do not follow”)
  • request for repeat of sentences (“ I’m sorry I couldn’t hear that, can you please repeat it again?” “Sorry, can you repeat?”)
  • pauses (“can you please hold? [pause] thank you!”)
  • interruptions (“the number is 212-” “sorry can you start over?” )
The simplest thing to do when writing responses to command and inquiry utterances in a conversational UI is to get straight to the point: respond with facts. That’ll remove a lot of the ambiguity and simplify the dialogue.
It’s up to the intelligent chatbot to adapt to the way the human responds - with the referential context (or) pauses (or) specific context (or) synonyms (or) repetition (or) abbreviations (or) variations in dialect. The chatbot needs to map it pre-contextually. But like their human counterparts, chatbots’ conversational skills determine whether they earn you seamless, scalable transactions or just another horde of pissed-off customers. This needs a lot of training by the chatbot to help continue the conversations to the logical ending.
Intelligent bots will have features like: Sync, Repeat, Interruptions and Pauses.
📷
5. When bots are kept simple
Although AI chatbots’ task is complicated and they need to be built up that way, yet the effort should be made to keep it simple. They need to be comprehensive yet detailed. A customer initiating a conversation with a chatbot might already be troubled due to some poor service related issue, hence it’s better not to irk him further with complex interaction. The bot should be answering the already irked usecustomer in a most precise way possible without confusing the person further. It’s easy to figure out if you are talking to a bot or a human. Make sure the customer knows that they are talking to a bot by welcoming them with some sort of welcome message. Nobody likes being told the same thing over and over again, so why do chatbots keep doing it? Bots should detect when they’re about to repeat a previously given answer and switch strategies. If the answer didn’t resolve the user’s needs before, repeating it certainly won’t either. From the user interface, to the dialog flow the experience should be pleasant, and information given to the user needs to be valuable and crisp.
Twitter also provides the option to give your bot a custom name for different sections of the bot, which can be of use. It’s important to show what the chatbot is capable of doing with Quick Replies. The customer needs to be a guided stepwise within the conversation and with enough accessible options to choose from.
Lastly, there must always be a way to end the conversation with the bot and switch to a human agent. Many bots today include a Quick Reply to “Speak to an Agent”. Certain actions, such as open-ended visual search, are challenging to complete in a messaging environment. In those situations, bots can route to a website or app to help the user complete goals they couldn’t execute within the context of chat.
Intelligent bots will have features like: Simple UI, Simpler steps, Agent Handoff
In a nutshell, a chatbot must be programmed to not just provide optimum solutions to problems, but also converse with customers in an engaging manner. The interaction must be exciting and the bot must appear to be curious enough to answer all queries. People prefer lively interactions and a chatbot needs to meet that expectation.
https://preview.redd.it/ri36kv7aurd11.jpg?width=800&format=pjpg&auto=webp&s=b8d3f5a1bab5b31dc3617f4bb7645e88bf70f836
For example, there are bots aligned with online shopping portals that can actually sense your liking and disliking. They can cancel orders for you accordingly and order the stuff that you actually want. Businesses are now moving way ahead than what anyone had ever thought of earlier. If we have an amazing concept like messenger or Kore.aiBots Platform, then why not use them to the full extent. Their proficiency in collecting massive data in a short period of time can be used to forecast upcoming business. You know it better how to get edgy with this interesting concept. The more you experiment with chatbots, the more you would get to know the wonders you can create with these little machines.
Some of the Global 2,000 companies and large enterprises are using Kore.ai Bots Platform to build their chatbots. How about you?
To get everything you need to build and deploy intelligent, enterprise-grade chatbots — without unnecessary complexity, click on Build your first BOT.
To ask questions, get tips, learn and grow with Kore.AI developer community, click on Ask questions on Developer Community.
Also Read on : Chatbots (of) the Future
Thank You
Phani Marupaka
LinkedIn| Tweet at : @phani_teja
submitted by PhaniTeja4 to Chatbots [link] [comments]

(FOR HIRE) BLOCKCHAIN DEVELOPERS

Hi everyone,
We have free development capacity now. We are Blockchain and ML dev team based in San Francisco and Prague, CZ. We love cryptocurrencies, coding wallets, exchanges, we have experience with Pattern recognition, Algo trading, NLP, Artificial Intelligence and chatbots.
Our Stack: Clojure, ClojureScript, Solidity, Python (TensorFlow, Pytorch, Django), JS, Node.Js, Angular, React Native, C#, AWS, MongoDB and many other technologies.
Our Projects: www.status.im, www.foldapp.com, www.evolta.fi, www.trezor.io, www.discomelee.com, Stealth startup - Machine Learning platform for forex trading. Now we work on www.neureal.net and www.volentix.com
We are looking ideally for long-term project or cooperation. We can join your core team and help with the Machine Learning, Blockchain, web or mobile apps or develop the whole project from scratch.
Here is some basic information about us: www.flexiana.com Send PM If you would like to chat a bit or you can reach me here - [email protected]
Cheers,
Mark
submitted by Marekzvar to Jobs4Bitcoins [link] [comments]

(FOR HIRE) ML and Blockchain DevTeam

Hi guys,
how are you doing? We finished a couple of projects recently and now we have free development capacity. We are blockchain and ML dev team based in Prague and San Francisco. We are focused on cryptocurrencies, coding wallets, exchanges, we have experience with Pattern recognition, Algo trading, NLP, and Artificial Intelligence.
Our Stack: Clojure, ClojureScript, Solidity, Python (TensorFlow, Pytorch, Django), AWS, JS, Node.Js, Angular, and C#, C++ and many other technologies.
Our Projects: www.status.im, www.foldapp.com, www.evolta.fi, www.trezor.io, www.discomelee.com, Stealth startup - Machine Learning platform for forex trading. Now we work on www.volentix.com
We have launched our internal project as well - www.condor.fund We are looking ideally for long-term project or cooperation. We can join your core team and help with Blockchain or ML or develop the whole project from scratch.
Also would like to get in touch with other blockchain/crypto folks to share ideas and knowledge.
Here is our website: www.flexiana.com
Feel free to send PM If you would like to chat.
Cheers,
Mark
submitted by Marekzvar to Jobs4Crypto [link] [comments]

Question career path Post Bachelor Job - Investment Analyst

Hello everyone,
I need some help and have some questions for some of you who are experienced working in a Mutual fund, or Hedge fund. I want to work in San Francisco, I live about 2 hours away.
Just some general background info on me:
I am a double major, I majored in accounting first, than got a second Degree in Finance. My GPA really lagged due to working 40 hours a week. I have 1 semester left after the current semester in school, but I no longer work and havent worked since 1/10/15.
2.65 Current GPA, and I have 10 Classes left, I think I will graduate with a 2.8.
I have been into the Stock Market since I was 19, I am now 23, so I have 4 years of trading/research knowledge. I have succesfully made money on forex trading(Bitcoins, GBPUSD, USDJPY) As well as SCTY, TWTR, and FB and few others. went from about 10K to about 45K.
I am very smart when it comes to the market. I read ALOT, because I understand reading is knowledge. Also I have day trading expierence Using Level 2 access.
I also am pretty good with excel when it comes to the formulas for yields, bonds, bills, vlookup ect. I also am very good in Accounting as I got my first degree in it. I can read and comprehend Fincial Statements. I know All journal entries including advanced accounting entries like vested stock, consolidation, loss tax Carry forwards etc.
Anyways, So my GPA lagged because I worked at Wells Fargo as a teller and banker for a little less than 3 Years, worked 40 hrs a week. My first year after transfering to my university, I got 3 ds, and 6 Cs. And yeah I know I regret it.
My last 5 classes I got an A B B B C, and This semester I expect A A B B B Dont know if this matters, but I am really trying, I am way smarter than my GPA states, at age 21 I didnt manage my time well, I put all my effort in Wells Fargo rsther than school and that was a mistake. I had great sales expierence from WF.
I want to get a job as a research analyst with a Fund. I will be taking the level 1 CFA Exam next year. Will this put me on a career path of running my own fund in the future? Also was thinking of doing my MBA when I turn 30, so Ill have about 6 years of Work Exp.
A few questions:
Does working at Wells Fargo help me get a job at a Fund? The reason I ask is because I have not worked for over a year.
Will passing the lvl 1 CFA help me get into a fund?
I know they will look at me as a student, I dont want to get denied because of my GPA.
if you could answer just these few questions I would Really appreciate it!
submitted by MarquetteKing to investing [link] [comments]

(FOR HIRE) ML and Blockchain DevTeam

Hi guys,
how are you doing? We finished a couple of projects recently and now we have free development capacity. We are blockchain and ML dev team based in Prague and San Francisco. We are focused on cryptocurrencies, coding wallets, exchanges, we have experience with Pattern recognition, Algo trading, NLP, and Artificial Intelligence.
Our Stack: Clojure, ClojureScript, Solidity, Python (TensorFlow, Pytorch, Django), AWS, JS, Node.Js, Angular, and C#, C++ and many other technologies.
Our Projects: www.status.im, www.foldapp.com, www.evolta.fi, www.trezor.io, www.discomelee.com, Stealth startup - Machine Learning platform for forex trading. Now we work on www.volentix.com
We have launched our internal project as well - www.condor.fund We are looking ideally for long-term project or cooperation. We can join your core team and help with Blockchain or ML or develop the whole project from scratch.
Also would like to get in touch with other blockchain/crypto folks to share ideas and knowledge.
Here is our website: www.flexiana.com
Feel free to send PM If you would like to chat.
Cheers, Mark
submitted by Marekzvar to DataScienceJobs [link] [comments]

(FOR HIRE) Blockchain DevTeam (wallets, exchanges, dapps)

Hi guys,
how are you doing? We finished a couple of projects recently and now we have free development capacity. We are blockchain and ML dev team based in Prague and San Francisco. We are focused on cryptocurrencies, coding wallets, exchanges, we have experience with Pattern recognition, Algo trading, NLP, and Artificial Intelligence.
Our Stack: Clojure, ClojureScript, Solidity, Python (TensorFlow, Pytorch, Django), AWS, JS, Node.Js, Angular, and C#, C++ and many other technologies.
Our Projects: www.status.im, www.foldapp.com, www.evolta.fi, www.trezor.io, www.discomelee.com, Stealth startup - Machine Learning platform for forex trading. Now we work on www.volentix.com
We have launched our internal project as well - www.condor.fund We are looking ideally for long-term project or cooperation. We can join your core team and help with Blockchain or ML or develop the whole project from scratch.
Also would like to get in touch with other blockchain/crypto folks to share ideas and knowledge.
Here is our website: www.flexiana.com
Feel free to send PM If you would like to chat.
Cheers, Mark
submitted by Marekzvar to Jobs4Bitcoins [link] [comments]

FOR HIRE: ML and Blockchain DevTeam

Hi guys,
how are you doing? We finished a couple of projects recently and now we have free development capacity. We are blockchain and ML dev team based in Prague and San Francisco. We are focused on cryptocurrencies, coding wallets, exchanges, we have experience with Pattern recognition, Algo trading, NLP, and Artificial Intelligence.
Our Stack: Clojure, ClojureScript, Solidity, Python (TensorFlow, Pytorch, Django), AWS, JS, Node.Js, Angular, and C#, C++ and many other technologies.
Our Projects: www.status.im, www.foldapp.com, www.evolta.fi, www.trezor.io, www.discomelee.com, Stealth startup - Machine Learning platform for forex trading. Now we work on www.volentix.com
We have launched our internal project as well - www.condor.fund We are looking ideally for long-term project or cooperation. We can join your core team and help with Blockchain or ML or develop the whole project from scratch.
Also would like to get in touch with other blockchain/crypto folks to share ideas and knowledge.
Here is our website: www.flexiana.com
Feel free to send PM If you would like to chat.
Cheers, Mark
submitted by Marekzvar to MLjobs [link] [comments]

03-21 18:23 - '(FOR HIRE) Blockchain developers' (self.Bitcoin) by /u/Marekzvar removed from /r/Bitcoin within 82-92min

'''
Hi everyone,
We have free development capacity now. We are Blockchain and ML dev team based in San Francisco and Prague, CZ. We love cryptocurrencies, coding wallets, exchanges, we have experience with Pattern recognition, Algo trading, NLP, Artificial Intelligence and chatbots.
Our Stack: Clojure, ClojureScript, Solidity, Python (TensorFlow, Pytorch, Django), JS, Node.Js, Angular, React Native, C#, AWS, MongoDB and many other technologies. Our Projects: [link]1 , [link]2 , [link]3 , [link]4 , [link]5 , Stealth startup - Machine Learning platform for forex trading. Now we work on [link]6 and [link]7
We are looking ideally for long-term project or cooperation. We can join your core team and help with the Machine Learning, Blockchain, web or mobile apps or develop the whole project from scratch.
Here is some basic information about us: [link]8
Send PM If you would like to chat a bit or you can reach me here - [email protected]
Cheers, Mark
'''
(FOR HIRE) Blockchain developers
Go1dfish undelete link
unreddit undelete link
Author: Marekzvar
1: www.status.im 2: www.foldapp.com 3: www.evolta.fi 4: www.trezor.io 5: www.discomelee.com 6: www.neureal.net 7: www.volentix.com 8: www.flexiana.com
submitted by removalbot to removalbot [link] [comments]

NX CAM TUTORIALS: #2

The San Francisco Public Library system is dedicated to free and equal access to information, knowledge, independent learning and the joys of reading for our diverse community. Support Us Volunteer with Us Give Us Feedback San Francisco Forex. San Francisco Forex. The Allonesearch Forex category, also known as foreign exchange brokers, includes companies offering international money transfers, foreign currency bank transfers, forex trading, global money exchange, and currency conversion services. There are 12 companies listed in our Forex category for San Francisco. Trading can be a lonely endeavor and sometimes it is great to just be able to get out of the house and hang out with people who know what the heck you are talking about. We are a group of Forex Trader A Forex Market Hours Clock, showing live opening and closing times for the major forex trading sessions. Also see Trading Strategies based on Forex Trading Hours. ... an international market that stretches from major financial centers like Sydney and Tokyo in the East to all the way to San Francisco in the West - all located in vastly different ... The most recent member of the Libra Association has become Blockchain Capital, a San Francisco based firm. The company has joined the other 28 members of the association as Facebook is heading the fight for a stablecoin launch.

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NX CAM TUTORIALS: #2

Documental de la construcción artesanal de las guitarras Francisco Bros. - Duration: 48:19. Guitarras Francisco Bros ... Giao Dịch Forex sàn Fullerton Markets trên điện thoại ...

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