Junior Forex Trader - uk.linkedin.com

[For Hire] With these skills...

A power user & I have been using computer since school when there was only Windows 95. Over the years, curiosity, hobby, education & work purposes have made me learn about various things. And I have become pretty good at those because whatever I do, I do it with passion.
Experienced with these:
These aren’t everything I know but hope it gave you enough info to have an idea about me.
I also have a bachelor’s degree. If you think I could be of use to you, then please PM me.
About me:
I have worked remotely for several companies since 2011 & got downsized in October 2020.
I have worked as a:
Location: Bangladesh
Contact: PM for details
Budget or rate: US $15 - $18 / hour. Negotiable for weekly/monthly job.
Availability: 9AM - 10 PM (GMT +6). Everyday.
Thank you.
submitted by Titan_Eternal to forhire [link] [comments]

10 Ways to Make Money Online in South Africa

There are a lot of opportunities online for anyone that wants to make a little extra money. From a part-time hustle to an all-out digital career, there are loads of ways that you can make money with an electronic device, and a connection to the internet.

  1. Paid Surveys - Did you know that thousands of South Africans earn extra income by simply participating in online surveys to help local companies improve their products? Finally, now you have an opportunity to do this as well! You can find a list of the top survey sites for South Africa HERE
  2. Selling Your Photos Online - Selling photos is a wonderful way to make money online if you have an aptitude for photography. Two popular platforms that you can try are Shutterlock and Unsplash. Every platform will have different requirements, but they will all pay you in hard cash. Though the photography market is quite hectic, it’s still a good method of gaining a passive income if you’re persistent and professional. Plus, the opportunity for additional sales is higher when your photos become popular. Many companies need photos of landscapes, and we all know that South Africa has some of the most amazing scenery in the world. In some cases, a smartphone is enough to get started, depending on the stock photo site you choose.
  3. Be a Freelance Content Writer - Freelance writing is a serious online business. The internet enters most areas of our life, and the need for blog articles and various types of content is exploding. There are many kinds of online writing work, and many people need things like product descriptions or simple reviews. Before going further in this direction, you first need to set up a blog or website. This will be an amazing portfolio where you can demonstrate to potential clients or businesses that you can deliver great work. A LinkedIn profile can be created to function as an online portfolio as well. Don’t forget that many writing clients will want to see specialized work, so be sure to consider what area you would like to specialize in. The pay for online writing varies, but with some practice, you should be able to make a decent part-time income.
  4. Sell Unwanted Goods - You can sell your unwanted stuff to people who want it and make your side business a real money maker. There’s plenty of options to use for sales such as Gumtree or Amazon. Don’t forget to do some research and see what assets have recently been sold so you have a target price. If you a business, you can sell other people’s goods as well. Many people don’t have the time or patience to sell goods online, and you can do it for them. If you charge a reasonable percentage of the sales, you can make a solid business out of selling used goods online.
  5. Build a Personal blog/website - Not only can you write for companies to gain income but you’re also able to run your own blog to raise money as well. Set your expectations at a reasonable level because this job requires consistent practice and lots of patience. Bloggers make a profit, often through press coverage, advertising products, and writing sponsored guest posts. You will need to run the blog for a while before you can expect to see any profits, but it is very simple to get started. Check out some of the other ideas on this list for ways to leverage a blog for greater income, like selling drop shipped items.
  6. Legitimate Remote Jobs can Pay Real Money - Many companies are heading to a work-from-home style of business since this type of model helps save money, and eliminates the risk of illnesses. People are completely flexible while working for a company and selecting where they decide to spend their time.CrowdSource, for example, hires remote writers, editors, and other jobs that can be done easily from anywhere. Companies like Fast Chart offer work-from-home options for medical transcriptionists. You can also try seeking opportunities at LiveOps, a call center staff. You might be surprised at how much time and money you save when you work at home. There is no transit, and you can cook for yourself. Think about it!
  7. Become a Dropshipper - Dropshipping is not a strange term, especially when eCommerce is booming. Anyone can be a drop shipper since the work requires low investment at the beginning and also guarantees minimal risk. The system operates by purchasing the stock (goods) from a third party supplier or manufacturer, who then fulfills the customer’s request. You don’t have to shop or handle goods in advance because the product comes directly from the vendors whenever an order is placed by a customer. There are many dropshipping platforms out there, and some are basically free to use. You will need to figure out how to market the goods, which is where a blog or website comes in very handy.
  8. Affiliate Marketing - Affiliate marketing is a popular method of making money online in South Africa and across the world. You can sell into a variety of markets with this business model, and make money almost anywhere. You can generate revenue from product sales. In other words, affiliate marketers will refer readers to a lot of products and get a small cut from them. Once a customereader buys products, you will earn a commission. A widely known approach is to start creating your own blog in a specific niche and to establish a trustworthy community that can purchase your promotions. Unlike dropshipping, you simply get a commission and have no other responsibilities. So easy! Check out SA’s leading affiliate network – https://www.affiliate.co.za/
  9. Online Business with Etsy - Try selling DIY designs and crafts on Etsy if you’re a skilled maker. An Etsy shop is basically free to operate, and you can make real money with the platform. Once your registration is complete, you can start posting photos of your works, and people can purchase your products. There is really no limit to what can be sold on Etsy, but make sure that you are able to send your goods to other countries, as many buyers are likely to be in the EU or North America. A PayPal account is important to have and also a popular payment choice so that customers can pay you quickly. Take nice pictures of the items to help draw purchasers into a sale. Make sure that you have good customer service as well, or you won’t be selling on the platform for very long!
  10. Forex Trading - You might have heard about trading FOREX or Contract For Difference (CFD) trading. The basics of this online money-making are simple. You will choose a currency pair, and bet on the direction of one currency vs. the other. For example, you could speculate that the EURO will appreciate vs. the RAND (or just about any currency). If you are correct, and then sell the contract, you will make profits. While this might sound easy, most people who do this lose money. In addition to currency, most retail FOREX brokers will allow you to trade in other markets, such as commodities, or shares. If you are looking for a reliable income, this probably isn’t right for you. On the other hand, if you don’t mind taking on risks, trading FOREX can be extremely profitable.
submitted by MrPassiveIncome to beermoneysouthafrican [link] [comments]

48 Free Udemy Courses , 2 Best Seller Discounted Courses & 8 E-Degrees

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

My first LinkedIn one and it's a malehun... Haven't responded to him.

My first LinkedIn one and it's a malehun... Haven't responded to him. submitted by so_not_reddit to antiMLM [link] [comments]

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submitted by ViralMedia007 to FREECoursesEveryday [link] [comments]

As a robotics university student, how do I make myself more appealing to FinTech and Quantitative trading companies

I am currently applying for internships with companies like G-research or causaLens in quantitative or market analyst positions, I have a total of 30 applications sent out and currently been rejected by 4 so far.
What can I do to make myself more employable and beneficial to these companies?
I have included all of my background in programming languages, interests in forex/stocks/cryptocurrency and blockchain technology, my part-time role as an internet analyst, project management abilities with my current university projects, my self taught experience in trading, etc.
I fine-tune my CV to fit the job description/company/what they are looking for
Keep my LinkedIn page updated and full of information about myself and experiences.
Any advice would be greatly appreciated!
submitted by BarryBeeBensonWorks to FinancialCareers [link] [comments]

Retail FX Industry Is About To Change

fintech #trading #algotrading #quantitative #quant #forex #fx

Retail FX Industry Is About To Change i Over the past few weeks we have received offers to acquire a strategic stake in some of the EU regulated retail FX brokers, some are STP and others are market makers. We are receiving such offers every now and then but usually it is just one company at a time and the contact is initiated by a consultant. This time it is different as there are almost 10 companies on the table and some of the proposals have come directly from the shareholders of these companies. With a few of these offers you could sense some urgency.
Since we are not special then I assume that these offers have also been received by other members of the industry.
What we have also noticed over the last weeks is that there is an increased activity in the FX related job market (especially in Cyprus and in the UK) and what is strange is that some of the CVs we receive are coming from the mid-level people that have been working for years at quite respectable FX firms. Is the in.....
Continue reading at: https://www.linkedin.com/pulse/retail-fx-industry-change-illimar-mattus/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_recent_activity_details_shares%3BKspylzubSBWhnIJVSstiHA%3D%3D
submitted by silahian to quant_hft [link] [comments]

Brain Dump on Getting Out of the Army - Updated

I originally made this exact post around two years ago when I first started at my current employer. It may just be me but I feel like I’ve started to see more frequent posts about getting out of the Army lately so I figured I’d update my post and repost.
For context, I was an active duty Officer. I did four years at Bragg in the lovely 82nd Airborne and got out as a CPT at the four year mark. I spent almost 70 days on terminal leave watching game of thrones and started as a management consulting Associate at a Big 4 firm (Deloitte, KPMG, PwC, EY) on my ETS date. I don’t have a beautiful Harvard MBA. I don’t have an amazing name brand undergrad. I understand that this advice may not be as applicable for everyone depending on what you want you to do. Some of this unsolicited advice is good for everyone but somethings are more specific to industries that are historically harder to break into (consulting, banking, etc.)
I worked very hard at creating a seamless transition from the Army into corporate America and I learned a lot during the 12 months I focused on transitioning. I care about our Veterans and their success post-military should you decide to get out. I wanted to dump some of my thoughts here and things I’ve learned in the hopes I can help some of you. I am going to be very blunt because there are a lot of misconceptions surrounding getting out. I look forward to your shit talking in the comments.
I have friends, Officer and Enlisted, that have followed the same path and took the same steps that I did. I have Enlisted friends in Ivy League MBA programs, friends at Wharton, JPMorgan Chase, Deloitte, Goldman Sachs, Google, Facebook, big time consulting firms, engineering firms, etc. I also have friends both Officer and Enlisted that didn’t do shit to plan ahead and are feeling the burn.
I’ll leave you with the best analogy I’ve heard about getting out of the military. In the Army, you don’t do anything of value without extensive preparation. The 3 shop kills themselves during the MDMP process refining the plan, the companies and platoons do rock drills, walk-through talk-throughs, PCCs and PCIs, comms checks, weapons checks, blah blah blah. That pattern of preparation and attention to executing a plan doesn’t change when you start to get out. You develop a strategy, target employers, networking contacts, you think through your answers to hundreds of interview questions, you rehearse your elevator pitch and your answer to “tell me about yourself”. Getting out of the Army isn’t the time to start slacking on preparation.
I could ramble on about this topic forever but I won’t. If you have questions, shoot me a note. If you want to tell me to fuck off, I’ll lovingly accept that too.
Edit: sounds like there is a lot of interest in consulting. I'd encourage you to check out Consulting to read people bitching about the industry the way everyone here bitches about the army, just with a tad more elitism.
submitted by standardnameline to army [link] [comments]

Beginner's Guide to Trading Crypto. Part 5

Beginner's Guide to Trading Crypto. Part 5

Talk The Trader Talk: A Journey Into The Realm Of Trader Slang

Slang is a natural evolution of a language under working conditions. Every industry has its own slang vocabulary, which may or may not be composed of morphologies of words directly related to the job. Sometimes situations related to the job may evolve or devolve into adjectives, verbs, nouns of even completely new words that reflect the object in question. To the uninitiated, such terms may sound like gibberish and could well resemble the talk of thugs that has been so vividly presented many times over in television series and movies.
Whether it is pidgin, slang, argot, or a dialect, industries have their own ways of expressing their ins and outs. For instance, the exhaust system of automobiles is often called the "puffer" among mechanics, a "fat finger" is a larger than intended trade among bankers, a "gat" is a weapon among street gangs, and "all day" is a life sentence among prisoners. The lists of slang terms are endless and are an extremely interesting read.
https://preview.redd.it/704sgly6nfz31.png?width=820&format=png&auto=webp&s=9d7fe3b1ef36869834dbf284ea0fcb4a7caee720

The Trader Lingo

To make sure that MoonTrader users get into the feel of what it is like to be part of the crypto market, we have compiled a comprehensive summary of some of the most widespread slang terms used by traders. Knowing these terms is an important part of working on an exchange, as understanding what traders are talking about is half the job of becoming one of them and being able to delve into the processes taking place. To talk the talk and walk the walk, traders must understand each other and, most importantly, shorten their speech into a mixture of phrases comprehensible only for the initiated and mystical to outsiders.
Babysitting: A slang term used by traders all over the world from Wall Street to the most obscure exchanges in Africa. The term means holding a trade that has been losing out for a while in hopes that it will gain in price, usually in vain. For example: “You’ve been babysitting that option for way too long, it’s a hopeless cause.”
Crunching: A situation in which a stock’s or asset’s price starts falling rapidly and has no support levels. For example: “The XXX stock is going down the drain. It’s crunching, leave it!”
Jig Out: This is a situation when the market makes a sudden turn for the worse and an investor or trader loses out as a result. For example: “The YYY stock jigged out on me today. Lost half a mil.”
Learning Curve: A fairy common expression meaning the amount of time and effort someone, such as a budding new trader, has to put into something to master the art and “learn the ropes”. For example: “The learning curve for Forex is pretty steep.”
Melt: Another fairly common expression that can be encountered in the world of finance, which signifies that a lot of money has been lost and an account has been depleted. For example: “My account melted through today after the market jigged me out on that nut.”
Nut: While nuts may be tasty as a snack or very useful for keeping things bound together with bolts, in trading a nut is the total amount of commissions that have to be paid for a certain trade. For example: “The nut on ZZZ is crazy these days.”
Permabull / Permabear: Since bullish markets are positive and bearish markets are sleepy, the traders working on such a market are called bulls or bears. There are some optimists who believe that such markets are always there. These traders are called permabulls. The opposite are permabears. For example: “Even if the market is dead and floating, he will still act like a permabull”.
https://preview.redd.it/rj90k43enfz31.jpg?width=680&format=pjpg&auto=webp&s=86c9c63f1484cc49f683ae12159d03429f465341
Printing on the “O”: If we consider that O is an extreme abbreviation of the term “Override”, then the phrase means that the price of an asset is below the bid price and there is an urgent need to sell it. “XYZ is printing on the Os all day!”
ScalpeScalping: The idea of scalping is opening hundreds and thousands of small trades in a short amount of time in hopes of generating a large amount of small profits. Scalpers are traders who engage in scalping. For example: “He’s a heck of a scalper.”
Slippage: A common situation for inexperienced traders who lose on assets that are insoluble and cause losses due to higher or lower prices. For example: “He’s been slipping on ZZZ for three weeks in a row.”
Squiggly Lines: Technical analysis consists of graphs and indicators that traders use to make sense of market dynamics. The lines on graphs are never straight, which would mean that the market is comatose, thus they are called squiggly, or uneven lines. For example: “I’ve been staring at the squiggly lines all day and my eyes are popping out.”
Tank: A tank is not only a military machine or a container, but also a verb, which could either mean to fill something up, like a container or a stomach, and also a drop. In this case, tanking means a market collapse. For example: “The market’s tanking! All is lost! All is lost!”
Unicorn, Vulture, Whale: The trading terminology bestiary is full of terms that have gained animalistic form. A unicorn is a situation reminiscent of the mythical beast, when a startup has reached a $1 billion valuation. A vulture is a trader who preys on falling assets and buys them up in hopes that they will rise in the future. A whale is a holder of a large amount of capital or an asset.
https://preview.redd.it/gj479zvhnfz31.png?width=700&format=png&auto=webp&s=e89c8bc881323f531661b2f7f355a470607765f1
Stick: The US dollar has a lot of synonyms from bucks and dough to aces and greenbacks. The stick is another synonym for the US currency used in trading. For example: “Made a K load of sticks today trading XYZ.”
Whack: A fairy straightforward term meaning that a trader has lost a fair amount of money. For example: “I got whacked trading ZZZ the other day.”
Bottom Fishing: There are traders and there are speculators. When a market has “tanked”, assets usually cost much lower and a certain breed of traders emerges who start buying up assets that have lost in value in hopes of selling them off at higher prices later. Such actions are called bottom fishing, or scooping up assets that have floated to the surface of a market like dead fish after a bomb goes off underwater. For example: “The market has sunk today and the sharks are bottom fishing.”
Choppiness: The market is never a calm place and its trials and tribulations are often compared to storms and waves. Since waves can be choppy, or rough in terms of the height of their crests, it is fair to compare market volatility to wavy seas. For example: “The choppiness of the market is not allowing institutional investors to enter with their capital.”
Dark Pools: There is always liquidity on the market that is hid away from average traders. Such liquidity is called a dark pool, which is usually in the hands of special groups. In essence, these are trading volumes created by orders placed by institutional investors. For example: “The dark pools are buying up Bitcoins real quick.”
Dead Cat Bounce or Rubber Band Effect: Since markets are unpredictable, it is often possible for markets to suddenly rebound after seeming dead for a long time. Such a situation is called a dead cat bounce, or a rubber band effect, which is quite figurative in itself. For example: “The market is preparing for a possible dead cat bounce after the recent wave of news.”
Hodl: A bastardization of the term Hold, misspelled by a drunk BitcoinTalk user, which simply means holding an asset in hopes that it will rise in price. For example: “Hodl Bitcoin! Hodl it!”
Short squeeze: There are situations when an asset suddenly rises in price and forces traders to close their positions. For example: “The holders were forced to short squeeze after the price of ZZZ suddenly spiked”.
Resistance Zone: In technical analysis, this is the area between the current support and resistance areas. Prices usually start resisting other prices in such areas and may start falling. For example: “The resistance area of $120 has been reached for ZZZ and we can expect a decline to areas of $100.”

Fallen Angel: Assets that may have reached price heaven are not guaranteed to stay there and it often happens that a highly valued asset has suddenly lost in price. Usually, this biblical analogy refers to high yielding bonds that once had investment grades. For example: “ZZZ has turned into a fallen angel after the US introduced sanctions against country YYY.”
Fat Tail: In statistics, such cases are called outliers and signify that a value has moved away from the mean and has gained a high degree of riskiness. For example: “ZZZ is showing fat tails and will soon reach non-investment levels.”
Flavor: Given the abundance of types of orders and assets on the market, traders often do not distinguish between them and simply call them different flavors. For example: “How about some ZZZ flavor?”
Hit The Bid: A rather straightforward expression meaning that someone has decided to sell an asset. For example: “The price just hit the low, so go and hit the bid”.
Odd Lot: A lot is usually considered to be a million dollars. An odd lot is anything under a million dollars. For example: “I sold that odd lot of ZZZ yesterday.”
Smoke And Mirrors: The poetic expression has made its way onto the market and means that a corporate entity is distorting the market image in hopes of attaining its own goals, usually to make an asset seem more attractive. For example: “The market is all smoke and mirrors after ZZZ flushed its stocks on.”
The list of trading slang terms is endless in its variety and the only way to fully immerse one’s self into it is trading actively and gaining experience. Years of work on any market in any industry will eventually saturate a participant’s mind with the necessary skills and terminology turn any greenhorn into a pro.
Check us out at https://moontrader.io
Facebook: https://www.facebook.com/MoonTraderPlatform
Twitter: https://twitter.com/MoonTrader_io
LinkedIn: https://www.linkedin.com/company/19203733
Reddit: https://www.reddit.com/Moontrader_official/
Telegram: https://t.me/moontrader_news_en

Originally posted on our blog.
submitted by MoonTrader_io to Moontrader_official [link] [comments]

FUD Slaying: Why “DYOR” is More Important Than YouTube Videos and Internet FUD

Hello everyone,
I am here to discuss the recent FUD presented by a relatively unknown YouTube reviewer. I intend to discuss his methodology and the actual points themselves.
https://www.youtube.com/watch?time_continue=1&v=1hH5_FAEzyo
This is his YouTube video based on the document in question. He wrote the document. https://docs.google.com/document/d/1XQlAGIDPjDoQNHtzEWGdbO9i8MUkc4lZFKYLTZzMpYU/edit
First, to get this out of the way, the reviewer has only been around on the social media scene for a short while. The views of his videos are only in the hundreds and his twitter was created a week ago. He is basically a "nobody" at this point. I don't mean that to be disparaging. He literally came out of nowhere. He is unproven and his methodology is inconsistent and extremely questionable.
With that said, just because he came out of nowhere doesn't mean he might not have a point, so let's look at his rating methodology to get a better idea of his process.
Oh and if you do not want to read all this, here is the TL:DR: The guy doesn't know what he is talking about. He doesn't has much idea of what he is doing when writing reviews. His research is lazy. I actually feel I wasted my time responding to this, but I am going to do it anyway.
When rating a project, he uses the following categories: MVP (minimum viable product), ease of research, team, roadmap, community (bonus), solving a problem, does it need blockchain, token use, red flags, competition, presentation, token vesting, demand/value, scarcity, customer service, best in field (bonus), active use, size of market, development (bonus)
These are pretty good things to look at, but he failed to look at GitHub contributions (or other source code related sites), so he can't really tell if a project is scammy or not. So, how well did he check this stuff out?
Rating the team:
When looking at his review of GVT, the only way to get an idea of this person's methodology is to look at his reviews of other projects. When rating the team there are basically two basic routes a person can take. You can analyze the team itself, or you can bundle the team and the advisors together and rate the project as a whole.
The reviewer is inconsistent in his reviews. In this category he bundles the entire team and advisors on some projects whereas he just looks solely at the team in other reviews.
His research is absolutely lazy. He gave Polymath a 0 rating for their team, but their website links to their company LinkedIn page and lists all 26 employees. It was not hard to find this. Even if it weren't on the site, a simple google search would have revealed who the team is. Polymath has a great team with some decent “stars” on it. It makes no sense to give them a 0. The reviewer doesn't know what he is doing.
Difficulty in finding the team deserves docking points in "ease of research", and it does not deserve giving the entire category a 0. The point of this category should be to evaluate the merits of the team members, which is something he does not do in most of his reviews.
He gave Selfkey a perfect score stating: "Team: 20 Points - Superstar team and advisors" This means he is bundling the team and advisors together. If so, any issues with advisors deserves docking points from that category, not docking at additional 20 points because of one advisor.
Looking at Selfkey, I don't know where the he gets the idea that they have a "superstar team". What does that even mean? I checked their profiles. Some of them only came onto the project recently and their LinkedIn pages are nothing to write home about. Some of them don't even have LinkedIn pages.
He gave the GVT team 13 points, but then docked 20 points because he didn't like Charlie Shrem.
Do you realize the ridiculousness of this? The GV team category effectively gets -7/20 points because the reviewer does not like Charlie Shrem. That is worse than giving the team 0/20. Charlie is only one advisor with no actual power over the GVT team's operations. He cannot execute any commands over the GV team or force them to do anything. The GV team can fire Charlie. Charlie cannot dismantle the GV team. That power balance is important. The rating makes no sense at all. Also, he docked the Changelly advisor because his company has bad customer service? Really? What does that have to do with his ability to advise the GV team on the things they need from him? Fact of the matter is his business is still running. The same cannot be said for advisors of other projects (more on that soon).
If you are going to rate the team and include the advisors, the value should be 3:1 or even 2:1. Even if you gave the advisors a score of 0, the category score should not be that low. GVT's advisors are absolutely amazing. To call them weak is ridiculous.
With regard to Nuls: "Asian team, isn’t on LinkedIn. No way to research." They get 0 points because they are Asian and don't use the sites you like to use? The language used allows that statement to be interpreted in a very negative way. There are non-Asians on that team as well. There is a way to research them. There are bios of each team member if you scroll over the pictures. You can then use that information to do more research on them. You are just too lazy.
Looking at The Key, their members are definitely not "all-stars". Their team is unknown and they have 3 relatively unknown advisors, only one of which has a LinkedIn page. Love him or hate him, Charlie Shrem is a crypto superstar compared to these people. Interestingly they are more of an "Asian team" than Nuls. That didn't seem to affect the score much though.
He gave the Bounty0x team a perfect score, but he obvious didn't bother to research every member of the team or their advisors with much effort. As an example, Terry Li is the Bounty0x solidity developer. If you check his LinkedIn page you will find a few serious red flags. He hasn't held a job for over a year. He has no visible programming experience. He has been a solidity developer for 10 months with no prior history or proof that he can program well. I cannot stress this enough: you do not want your solidity developer to be a programming newbie. This will spell disaster for your project.
When you look at their advisors there are some serious red flags as well. I picked two advisors to research and I found out that both of them have had their companies fail. One of them even declared themselves unsuccessful in a Facebook post. I don't want a project to be advised by people with a bunch of failed startups. Changelly having bad customer service pales in comparison to advisors whose project's failed. Bounty0x's advisor team is filled with failed entrepreneurs and members of their team lack experience in the jobs they are assigned. Also, their "Backend and Solidity engineer" has only been with the project for a month, and his blockchain programming experience is nonexistent. They do not deserve a perfect score in this category.
GVT has a team with years of programming experience, but more importantly, they have years of experience programming financial software. These are exactly the type of people you need on your team.
To the reviewer: Either bundle the advisors into the team rating or give them a separate category. Do not be inconsistent in this category. Do not bring a team's ethnicity into play as a factor for anything. Please do actual research on all the members, and please define what it means to be a "superstar". Please learn to navigate websites. Polymath's team is there. Your inconsistency and lack of research in this makes you appear incapable of judging a team. There is no clear methodology here. All your reviews are questionable because of this.
Roadmap:
He gave 0 points to GVT for their roadmap being hard to read. But the key point is this: They have a roadmap. There is no reason to give 0 points in this category. Not only that, the roadmap is decently detailed with many goals and objectives. The roadmap isn't some simple points on a line like Enigma's roadmap. Speaking of which...
He gave Enigma 0 points for not having a roadmap at all.... But they do have a roadmap. The guy didn't do his research.
https://en.decentral.news/2017/12/27/ico-analysis-enigma-catalyst-realm-crypto-trading-machines/
It can be found here.
MVP:
Having a minimum viable product be worth only 10 points is ludicrous. Any project that has an MVP basically utterly destroys a project that doesn't. More importantly, the reviewer didn't actually bother to use the MVP on what he reviews.
He gave Polymath 0 points for their demo, but gave GVT 10 points for theirs.
I am going to be blunt about this. GVT's demo is a non-functional interface demo. GVT's MVP comes on April 1. Polymath does not deserve a 0, and GVT does not (as of 3/21) deserve a 10. They both deserve a 5. He didn't bother to actually check out GVT's demo, which goes to show he doesn't actually research things properly.
He gave Enigma a 3 for an MVP not available to the public and Selfkey a 5 for an MVP not used by the public. Eh?
He gave the Authorship a 10 for their MVP but claims he cannot find any info about them. How is that supposed to work?
He gave Po.Et 0 points for their MVP because he couldn't find it.
Here you go buddy: https://github.com/poetapp/wordpress-plugin
It's right there. You just failed to find it. It isn't their fault your research is bad.
Ease of Research:
The reviewer either needs to dock points for research being difficult in their respective categories or dock research being difficult in this category. Do not "double dip" and dock points in both categories. This category is irrelevant since the reviewer already docks points in their respective categories. Also, this category is subjective because it is based on the reviewer's research skillset.
Community:
He uses coingecko's score or numbers from their telegram channel but there isn’t much evidence that he actually bothered to check out their communities much. Reeks of laziness and has nothing to do with the quality of a community. This really shouldn't even be a category if he is going to give points based on this. High telegram channel members has little meaning.
Solving a problem:
The reviewer’s inability to understand the problem that a project solves should not be held against it. Polymath is quite clear in the problem it solves.
He gives projects that solve problems of identifying people a 10, but gives projects that solve problems of identifying intellectual property a 3. That makes no sense. Those are both problems that need to be solved by the blockchain. The idea that he finds one more important than the other is clear bias.
Token Use:
The author does not understand the GV product. GV is platform agnostic, and more importantly GVT needs as little outside influence as possible. There is a very specific reason why GVT has to be used in place of ETH. ETH would technically be a middleman in this sense. GV's success is not meant the be tied to ETH's success or ETH token price manipulation. GV's success isn't even meant to be tied to crypto's success. GV is designed to succeed even if ETH or crypto fails.
GVT actually deserves a 10 in this category. GVT is needed to use the platform. Money is transferred using GVT. Profit is returned using GVT. Other services such as GV Markets will also function using GVT as gas. The utility of GVT is needed in all aspects of the platform. This gives the token great utility and investment value. If 1 Billion is invested through the GV platform, GV's market cap includes that 1 billion because the token is needed to transfer that 1 Billion around. This provides great incentive to invest in the platform and a great reason for the token price to grow in value. No other project that this much incentive or ways to bring value to their token as much as GVT. I am surprised the reviewer cannot see this.
GVT is also market agnostic. The entire crypto market can fail and GVT can still maintain value through profits brought in from the Forex and stock markets. This will make it extremely resilient over time.
Presentation:
The purpose of GVT is quite clear. It is broken down on the website and the presentation clearly explains why it is needed as all levels of trust management including the brokers, customers and managers. All that info is very clear on the front page of the site. 0/10? GVT presentation isn't the problem here. It seems the reviewer only watched the video which is just one part of the presentation. Everything is on the site and in the whitepaper, which the reviewer apparently didn't even fully read.
Token vesting:
He colors it yellow for GVT but green for other projects that also get 5 points... visual bias is apparent. He gave one project a 10 for an 18 month vesting period and a 6 to another project for the same period with little justification for such a disparity.
Supply/Scarcity:
GVT receives 3 points because 44M tokens were available during ICO but only sold about 4M. This makes him believe that they didn’t create much demand. “Everyone who wanted GVT got it.” The US and Singapore could not participate. Also, Bounty0x failed to reach their soft cap, but the reviewer didn’t dock any points for that. If everyone who wanted GVT got it then the marketcap wouldn’t be where it is today. What a terrible assumption he made.
Competition: He gave GV a 5/10, but his reasoning made little sense. “Covesting and coindash are used to trade cryptocurrencies while GVT is for cryptocurrency AND non-crypto trading. They will still compete for a portion of the same market. People will have only so much fiat to invest.” You do not use fiat to invest in Covesting or Coindash. Also, GV will allow people who are into stocks or forex to bring their money into crypto. No other coin is doing what GVT does. Covesting and coindash, arguably, are projects that try to compete against just one part of the entire GV platform. GVT is more than that and should have a higher score because there is basically no competition. There is competition for some of its features, but not for the platform as a whole. He gave Bounty0x a 20-point bonus for "Best in Field"... but they are the best because they have no competition. As a matter of fact, there is no reason for a 20 point "best in field category" when you already have a competition category worth 10 points.
He gave Funfair a 5/10 even though he states "No competition in FunFair’s niche"... That would automatically make it the best in its field if it has no competition as well.
Why does a project that has no competition effectively get 30 points (10/10 + 20), while another project with no competition get only 5 (5/10 + 0)? I will tell you why. It's because the author doesn't know what he is doing.
Guy's I am going to be honest. I am tired of doing this. You get my point. His reviews are an inconsistent and poorly researched mess. I've written around 8 pages worth of content covering this. If there is anything else you need me to compare, please write it in the comment section.
submitted by novadaemon to genesisvision [link] [comments]

Brain Dump On Getting Out Of The Army

Don’t worry, this post isn’t going to be like that other recently transitioned O-3 douche that came on here “drunk” spouting about the 1% and his awesome (fake) job on Wall Street.
I am a recently separated CPT after 4 years, served all 4 years in the 82nd ABN. I currently work as a management consultant in a Big 4 firm. I worked very hard at creating a seamless transition from the Army into corporate America and I learned a lot during the 12 months I focused on transitioning. I care about our Veterans and their success post-military should you decide to get out. I wanted to dump some of my thoughts here and things I’ve learned in the hopes I can help some of you. I am going to be very blunt because there are a lot of misconceptions surrounding getting out. I look forward to your shit talking in the comments.
1- First things first, preparing to transition is a 2nd full time job. You can save your “officers don’t do shit so no wonder you had so much time to focus on getting out” If you give a fuck, you’ll find the time. I promise I would have rather hung out with my kid and wife after work instead of studying interview questions and trolling through LinkedIn for potential contacts. A successful out will require a lot of work and effort and is taxing. Remember this, the Army doesn’t give a shit about you once you hit your final out. It is your responsibility and your responsibility alone to ensure your success.
2- If you think for second your military experience is going to carry you into your next job and every company is going to want to hire you, gov or private, you’re more wrong. Listen, I appreciate your service. Your potential employer appreciates your service. They don’t appreciate it so much to hand you a job. Their interest is in the success of that business. If you are not value-added to the bottom line, you don’t get the job. I had this asshole ACAP instructor that literally said “Fortune 500 companies want you because you’re a vet. They want to hire you. You just have to help them find your resume by posting it online.” THIS IS BULLSHIT AND NOT HOW IT WORKS (see next point). This is especially true for Officers. No one gives a shit you are a CPT/MAJ/1SG/SGM. You are no better than an E-5 that is prepared and can smoke the shit out of an interview.
3- You need to develop a well thought out strategy of how you want to approach your post service employment. This should start nearly a year out. I started 12 months from my transition date. Your strategy should include: IDing your strengths and what you bring to the table. I’m really happy you can hump your 240 better than anyone else in your weapons squad. I am also very happy you can make stupidly complex OPORDs. If you don’t know how to properly articulate your skills, your resume will be shit, your interviewing will be shit, and most of all your success as a job searcher will be shit. ID your weaknesses and shortfalls. Best way to do this is to find live job postings that interest you and look at the requirements posted. What do you meet and what do you not? This is a great way to check and see if this is a realistic position to pursue. If you don’t meet a requirement, is it something that you can change. Project management certification? Sure, you can go get that. 15+ years experience at a hedge fund implementing forex arbitrage strategy? Probably not. Create a list of target employers. What companies interest you? Why do they interest you? Is it because they advertise that they have ping-pong tables in the break room (wrong reason) or is it because you are interested in their work and your skills and experiences translate well? (good reason). Your target employers will drive the next point and I personally think the most important point.
4- NETWORK.NETWORK.NETWORK. I can’t say it enough. Networking is the single most vital point of your entire transition in securing post-service employment. This point is hard for a lot of people but if you care about what you’re going to do after the Army, get the fuck over it. For a lot of people networking is synonymous with slimy cold calls where you are interested in getting something for yourself and it is an awkward and uncomfortable process. It doesn’t have to be this way. Think of it this way. What sounds better? Emailing someone you’ve never talked to 7 days before your final out asking for them pass along your resume because you like their company and stuff. OR does it sound better to email someone 12 months out from your transition because you are interested in learning more about their experiences and career field and this leads to a mentomentee relationship that develops over months’ time so THEY want to help you find a job. THEY are willing to reach out on your behalf. It is also a hell of a lot less awkward when you ask them to pass along your name because you have an established relationship. Set up informational interviews, send out your resume to your contacts to be reviewed. Ask a civilian to take your resume into their workplace and have their coworkers highlight everything they don’t understand and then give it back so you know what military terminology you need to clarify. Participate in LinkedIn groups for transitioning military. At one point, I had so many contacts and so many of my target companies, I had to use a spreadsheet to organize their contact information, the last time we talked, what we talked out, and when we were going to talk next. I would develop the relationships over long periods of time so when it came time for them to act on my behalf, it wasn’t an inappropriate request. I had created buy-in. They had a vested interest in my success and wanted to go out on a limb for me. Whether it was for some self-serving reason and they liked to feel better about themselves or they genuinely cared, it didn’t matter. They were helping me. I was leveraging that connection.
5- Lastly, utilize the resources available to you and veterans. I'm not going to explain them all but if you want more info, ask. LinkedIn, HireOurHeroes, American Corporate Partners, ACP AdvisorNet, Military MOJO, Veterans Mentor Network, company specific veteran hiring initiatives (GE, Goldman Sachs, Pepsi, Coke, Bank of America, Deloitte, etc).
I could ramble on about this topic forever but I won’t. If you have questions, shoot me a note. If you want to tell me to fuck off, I’ll lovingly accept that too.
Edit: removed my analogy of how wrong you are if you assume someone will hand you a job because your a veteran. Now back to originally scheduled programming...
submitted by standardnameline to army [link] [comments]

Mycro: первая фаза IEO от Mycro на платформе BitForex Turbo Premium прошла успешно

Mycro: первая фаза IEO от Mycro на платформе BitForex Turbo Premium прошла успешно
Mycro является первым в мире, кто запустил всемирную одноранговую систему, которая объединяет людей, которым нужна работа, и поручается за поддержку с людьми, которые надеются заработать дополнительные деньги для удовлетворения своих потребностей. Доступ к платформе можно получить через мобильное приложение, клиенты могут предложить или подать заявку на любую временную деятельность. Децентрализованные рейтинговые структуры и проверка клиентов выполняются посредством умных контрактов, позволяющих сторонам вступить в доверительный обмен.
Первый раунд IEO Mycro на премиум-этапе BitForex Turbo был достижением. Большинство из 800 000 токенов MYO были распроданы всего за 13 минут и 7 секунд!

https://preview.redd.it/77jijpzw9i631.jpg?width=275&format=pjpg&auto=webp&s=6ccfa8336312c01e90a11bcdab4d4ae07ce16492
Следующая возможность проявить интерес - это фаза 2, которая началась 12 июня 21:00 (время по Гринвичу +8), что позволяет всем присоединиться к нам, купив лимит в 16 000 MYO на человека. Стоимость установлена на уровне 0,30 долл. США за MYO, а общая сумма для этапа 2 составляет 2 000 000 MYO.
Все токены из фазы 1 были приобретены за считанные секунды, и мы ожидаем существенный интерес к фазе 2. Помните, что покупатель токенов из первого раунда также будет иметь возможность покупать токены во время фазы 2, поэтому будьте готовы купить его до того, как он достигнет точки нет возврата!
Обмен на токен MYO начинает торговлю BitForex 17.06.2009 17:00 (GMT 8). Это будет пара MYO / ETH, на которую мы очень рады!
Вы должны провести должную старательную работу над микропроектом. Проект имеет масштаб и готов подорвать отрасль
Постарайтесь не упустить основную возможность - участвуйте сейчас
Микро токен финансовые вопросы
Есть три ключевых компонента в финансовых вопросах Майкро; ставить, выполнять и потреблять.
# 01 Ставка токена
Разбивка - это случай использования для токена MYO, который вызовет интерес к токену MYO. Разбивка позволяет получить доступ к элитным акцентам, поддерживать конкретные упражнения, а также статус и признание.
# 02 Токеновая компенсация
Призы являются средством, с помощью которого мы демонстрируем нашу признательность нашим клиентам и расширяем ликвидность токена MYO. Клиенты будут получать токены из пула вознаграждений относительно оценок, которые они получают за задания, которые они публикуют или завершают. Жетоны из пула вознаграждений также могут быть получены как ценное вознаграждение или как нечто дополнительное для рефералов.
https://preview.redd.it/yo94e9u8ai631.jpg?width=1280&format=pjpg&auto=webp&s=9626076d711e898e371806888a3e3d8d5cb807c0
# 03 жжение токена
Потребление токенов является основным методом исключения токенов изобилия из потока и приведет к дефициту токена MYO. Потребление токенов будет происходить надежно, так как уровень токенов предоставляется из пула наград. Потребление токенов будет продолжаться до тех пор, пока не будет распущена половина всех поставок токенов MYO.
Это три основополагающих компонента финансовых вопросов Майкро. Чтобы быть в курсе последних новостей с Mycro, вы можете следить за нами в социальных сетях, чтобы получать обновленную информацию о mycro
Для дальнейшего расследования, обратитесь к официальным ссылкам ниже Website : https://www.mycrojobs.io/ Whitepaper : https://www.mycrojobs.io/download/Mycro-Whitepaper-EN.pdf Telegram: https://t.me/mycrojobs ANN: https://bitcointalk.org/index.php?topic=5008139.0 Bounty: https://bitcointalk.org/index.php?topic=5027348.0 Twitter: https://twitter.com/Mycrojobs Facebook: https://www.facebook.com/mycro.jobs/ Reddit: https://www.reddit.com/usemycro-jobs Medium: https://medium.com/mycrojobs Instagram: https://www.instagram.com/mycrojobs/ YouTube https://www.youtube.com/channel/UC1Gk4r0HRGFnOMfX3tWEfGw/ LinkedIn : https://www.linkedin.com/company/mycrojobs/ GitHub: https://github.com/mycro-jobs/ Steemit: https://steemit.com/@mycro
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Retail FX Industry Is About To Change

fintech #trading #algotrading #quantitative #quant #forex #fx

Retail FX Industry Is About To Changei Over the past few weeks we have received offers to acquire a strategic stake in some of the EU regulated retail FX brokers, some are STP and others are market makers. We are receiving such offers every now and then but usually it is just one company at a time and the contact is initiated by a consultant. This time it is different as there are almost 10 companies on the table and some of the proposals have come directly from the shareholders of these companies. With a few of these offers you could sense some urgency.Since we are not special then I assume that these offers have also been received by other members of the industry.What we have also noticed over the last weeks is that there is an increased activity in the FX related job market (especially in Cyprus and in the UK) and what is strange is that some of the CVs we receive are coming from the mid-level people that have been working for years at quite respectable FX firms. Is the industry dow..... Continue reading at: https://www.linkedin.com/pulse/retail-fx-industry-change-illimar-mattus/?lipi=urn%3Ali%3Apage%3Ad_flagship3_profile_view_base_recent_activity_details_shares%3BKspylzubSBWhnIJVSstiHA%3D%3D
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Flash Informativo: Manipulación del mercado y exceso de FUD en Bitcoin – Episodio 51


Territorio Bitcoin ha lanzado un nuevo episodio de su Poscast semanal conducido por Fernando Molina desde España, de donde se repasará la actualidad del mercado Bitcoin, las expectativas para la próxima semana con la aprobación de los ETF del CBOE, los meetups que están en el calendario y los datos del concurso para ganar unas camisetas exclusivas.
Cada semana Territorio Bitcoin publica un nuevo Podcast con información de primera mano, que todo trader debe conocer a fin de tomar las decisiones acertadas durante sus próximas operaciones dentro del mercado de las criptomonedas.
En este Podcast número 51, Fernando nos habla principalmente del estado del mercado de las criptomonedas y la manipulación importante que bajo la que se encuentran sometidos los criptoactivos. También Fernando comenta que la manipulación del mercado al ser globalizada, proviene de diferentes países y actores, que al ser un pequeño mercado es fácilmente manipulable. Según CoinMarketCap, el mercado de los criptoactivos es de $200 mil millones de dólares y aunque parece una cifra alta, hay más de 100 fondos de inversión que superarían ampliamente ese capital y que hasta ahora invierten en el mercado Forex, Oro Petróleo y diferentes fuentes de financiación, hasta ahora porque para Fernando todo este movimiento y fluctuaciones que lleva sufriendo cada semana el mercado, son movimientos de estas grandes ballenas colocándose en su posición. Pero también Fernando llama la atención a que como llevan diciendo muchísimos expertos en Wall Street y diferentes medios de comunicación de tipo económico en Europa y Asia, sobre la expectativa de que viene una fuerte crisis monetaria y que va afectar al Dólar principalmente y aunque sin duda esta crisis en su camino destructivo se va a llevar a varias economías emergentes que apostaron en su día por endeudarse en dólares precisamente como el caso de Turquía. Pero lo importante a tomar en cuenta, es que históricamente con cada crisis monetaria global, el Bitcoin ha dado un salto como inversión Refugio o de soporte frente a las pérdidas en los mercados tradicionales. Si bien es cierto que el Bitcoin ha bajado desde los $20000 dólares de su máximo en diciembre, actualmente su valor se encuentra entre los $5500 y los $6500 dólares durante varias semanas o meses. No No obstante Fernado señala que se ha visto que hay un fuerte valor de resistencia sobre los casi $6000 dólares que es donde se han ido posicionando las ballenas y dónde los meses de marzo y de abril pasados varios fondos soberanos y fondos de inversión muy potentes hicieron compras fuera del mercado en cantidades de cientos de miles de Bitcoin. Esta operación que se situó entre los $5000 y $5500 dólares, hace prever que cualquier precio que baje de esa posición es automáticamente comprado nuevamente, algo que evidentemente estos fondos no van a querer ni permitir que se baje el valor de Bitcoin por debajo de su precio de compra. De hecho, éstos fondos tienen capacidad más que de sobra para mantener el precio a su antojo, por lo que ahora mismo no debe preocupar para nada que el Bitcoin esté en esta horquilla de los $6000 dólares. Obviamente, Fernando afirmó de nuevo que se está manipulando el mercado, pero mantiene que el ETF del CBOE de Bitcoin que se aprobará el próximo 30 de septiembre llevará al mercado a reventar literalmente porque se verá acompañada de grandes noticias relacionadas con proyectos de empresas multinacionales que crearán un FOMO “Fear Of Missing Out”​ brutal para fin de año


Esta semana Fernando, tampoco olvida a Facebook como uno de esos creadores de FOMO con la compra encubierta de Coinbase y además de la gestión de licencias bancarias para operar. Pero hay que estar atentos a Google o Apple o proyectos la sombra como los que maneja Elon Musk y Tesla, su sueño de Hyperloop al que se sumó Richard Branson dueño de Virgin. De hecho, Richard Branson además es uno de los grandes inversores del Bitcoin desde el comienzo, cuando Virgin empezó a aceptar Bitcoin en sus tiendas desde 2013. De esta forma, Fernando infiere que tanto Virgin Airlines como Virgin Galactic que por ejemplo permiten desde 2013 pagar vuelos intercontinentales o visitas al espacio con Bitcoin, puede que motivado a esta asociación indirecta o directa con el Elon Musk y la adhesión del proyecto que ahora se llama Virgin Hyperloop One, pueda traer en un futuro muy cercano algo que ver con Blockchain.

En otras ideas Fernando también se ocupa de resaltar en el Podcast que Bitcoin es la única inversión que está resultando estable con respecto el resto de las Altcoin que han sufrido una masacre brutal con caídas de más de 60 al 80% de su valor no sólo máximo sino valor medio. Eso si, también informa expresamente “_que que invertir en Bitcoin es de alto riesgo_“. En ese sentido Fernando aclara que de nuevo están corriendo en los medios versiones que señalan que las criptomonedas deben ser tributadas y en consecuencia el expresa su clara posición al respecto, pues a su parecer quienes tienen a su cargo la creación de normas tributarias no comprenden la mecánica de las criptomonedas y no tienen asesoría técnica especializada. Luego Fernando en ese mismo orden de ideas, criticó un par de notas publicadas en medios dedicados a la economía que claramente tampoco poseen asesoramiento técnico ni conocen el funcionamiento del mercado de criptoactivos, por lo que en este Podcast podrás escuchar la respuesta de Fernando a sendos artículos relacionados con el Bitcoin publicados por medios de algo nivel económico que cometen errores al elaborar las noticias y que pareciera que buscan generar FUD “Fear, Uncertainty and Doubt” en los mercados.

En cuanto a Meetups y Conferencias, Fernando Molina ya comentaba la semana pasada, que esta semana se celebraba en la ciudad de Las Vegas, EE.UU., en el Mandalay Bay el evento Blockchain ChainXChange, que para hoy miércoles 15 después de 3 días de grandes ponencias se cierra con la intervención de Steve Wozniak el fundador de Apple junto a Steve Jobs. Pero como éste evento ya no se puede asistir, Fernando trae varios eventos de primer nivel para agregar a la agenda. Empezando, el próximo 05 y 06 de octubre en la ciudad de Andorra se celebrará el primer Congreso Internacional sobre Tecnología Blockchain CIBTC el Principado de Andorra con una capacidad reducida cuatrocientas (400) personas y con grandes proyectos de toda Europa e incluso alguno americano y asiático, así que en pocas semanas ya tendremos los acuerdos definitivos y podremos ir avanzando más información de uno de los eventos más grandes realizados en el norte de la Península ibérica sobre tecnología Blockchain.
Luego, en el mes de noviembre, atención porque se llevará a cabo el mayor evento de Europa y tal vez del mundo relacionado con la tecnología se trata del Web Summit de Lisboa los días 5 al 11 de noviembre con más de 70.000 entradas vendidas ya y más de 1200 ponencias de más de 170 países, con unos números de auténtico vértigo que avalan uno de los eventos más interesante del año, que se celebrará en el Altice Arena de Lisboa y en donde simultáneamente se van a celebrar 25 conferencias de distintos tipos de tecnología por lo que respecta a Blockchain de Bitcoin la más importante sería la Money Conf dónde van a exponer grandes voces de la industria desde Max Levchin sin uno de los fundadores de PayPal a Robert (Bob) Greifeld ex-CEO del Nasdaq, el famoso inversor Timothy Cook Draper mejor conocido como Tim Draper, Francisco González Rodríguez Presidente de BBVA como banco español más representado en una conferencia sobre futuro del dinero. Todos ellos juntos a otros nombres como Jon Matonis director y fundador de la fundación Bitcoin o Joseph Lubin fundador de ConsenSys y co-fundador junto a Vitalik Buterin de Ethereum. El Web Summit es uno de los grandes eventos a nivel global, sin duda con un cartel impresionante en cuanto a ponencias de interés y una capacidad de atracción de visitantes de alto nivel mundial realmente espectacular con más de 70.000 entradas vendidas a un precio de unos 675 € cada una y con antelación, una auténtica locura.

Y en cuanto al sorteo de las camisetas, Fernando indica que ya hay casi 100 personas apuntadas al sorteo de las camisetas del capítulo 50 del podcast Territorio Bitcoin por lo que tomaron al decisión de sortear 20 camisetas, agregando otro en diseño especial para las damas que tengan la suerte de que les toque en el sorteo en color Rosa. Hoy miércoles si da tiempo, se mostrarán los diseños en la cuenta de Twitter, así que todavía están a tiempo de participar antes del próximo lunes por la mañana fecha en que se realizará el sorteo.
Territorio Bitcoin, tiene un (Podcast semanal) con Noticias de Bitcoin, Blockchain, Fintech, Altcoins, Minería de Criptodivisas, Inversiones y mucho más contenido sobre este apasionante mundo. Además, en los Podcast de Territorio Bitcoin, podrán encontrar acertados comentarios con las cotizaciones más importantes en los exchanges, los meetup en agenda, conferencias y otras presentaciones relevantes de los próximos días.
Te invitamos a escuchar los Podcast en español!!
Si quieres colaborar con nuestro proyecto, puedes considerar hacer una donación o simplemente regalar una propina, ingresando en este Link: _EspacioBit.com.ve: Donaciones y Patrocinios _.
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La entrada Flash Informativo: Manipulación del mercado y exceso de FUD en Bitcoin – Episodio 51 se publicó primero en EspacioBit.
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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]

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