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Topic: 🌟🌟🚀[ANN][TOKENSALE]🚀 TRADINGENE - ALGORITHMS MARKETPLACE - page 15. (Read 7181 times)

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Six favorite books by Tradingene CEO and Co-founder Daniel L. Wolfe
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Liar’s Poker and Flash Boys, Michael Lewis. Liar’s Poker, based on Lewis’ time on the legendary bond trading desk at Salomon Brothers, is one of the first books that brought the opportunities in investment banking alive for me. Like all of Lewis’ work, it is impossible to put down. Lewis also demonstrated his uncanny ability to set out complex financial transactions and markets in clear, understandable terms. I read everything he writes; Flash Boys, Lewis’ story about the takeover of
 American markets by high-frequency traders — in collusion with both exchanges and regulators — is another must-read for those seeking to understand today’s capital markets.



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Clicks and Mortar: Passion Driven Growth in an Internet Driven World, David S. Pottruck and Terry Pearce. Pottruck was President and Co-CEO of The Charles Schwab Corporation (itself an insipiring business) when he and Pearce wrote this book in 2000. I was living in Silicon Valley, experiencing the dizzying changes brought on by the Internet era firsthand. The beauty of Clicks and Mortar was its focus on the importance of corporate culture and values-driven management — age-old values — in a time of rapid, dislocating change. The book confirmed for me that the passionate pursuit of a shared mission creates business success. I believe the changes the blockchain will bring are no less profound than those the Internet brought and the insights of Pottruck and Pearce are as relevant today as the day they were written.

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The Power of Now, Eckhart Tolle. Tolle writes about learning how to live in the present moment. His amazing book helped me to understand how my mind works, making it possible for me to turn off internal noise and live fully in the present moment. Tolle’s clear, kind work explains better than I ever can the power of living consciously. I meditate daily, and The Power of Now is the best explanation for the power of this ancient practice. It’s the book I recommend most often.

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Pattern Recognition, William Gibson. Gibson coined the term “cyberspace” and his science fiction, cyberpunknovels are renowned — and properly so — for their visions of the future. Pattern Recognition was his first book set in the present. It is one of my favorite novels (and I read a lot of novels, as they help me recharge from my hectic schedule). This story moves between Tokyo, Moscow and London, showcasing a kaleidoscopic array of characters in our modern world. He deconstructs many disquieting elements of our modern world, including rampant consumerism, the loss of privacy, and the fetishism of celebrity. The heroine of the story also has an amazing job: she’s a highly sought after “cool hunter” who hates brand names. I have already read this poetic novel three times, and I am certain I’ll return to it again.

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Growing a Business, Paul Hawken. Growing a Business was the first business book I ever read. It’s an amazing story of Hawken’s founding and management of a successful health foods business. Hawken clearly and confidently explains the challenges of entrepreneurship, sometimes with surprising insights. One of my favorites: business often fail because they have too much money, since this keeps entrepreneurs from being focused on keeping costs under control, knowing where their revenue will come from and making sure they know where their profit comes from.

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Sapiens: A Brief History of Humankind, Yuval Noah Harari. Harari’s sensational book is an anthropologist’s attempt to explain why Homo Sapiens came to dominate our beautiful little planet (especially since there were at least six hominid species). His answers are often surprising, and always provocative. The book helped me better understand humanity, opening my eyes to many aspects of human society both past and present. One of the greatest insights was the importance of “shared fantasy” in human culture. This is the basis for money, of course, something that bears considering as we enter the age of cryptocurrency.

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A good question was asked by one of the Tradingene community members. ”What are the up-to-date and well-established methods for bitcoins classifications?”
We will answer on it in all details.

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Method #1. Digital gold

First of all, it may seem that the term "crypto-currency" already hints that bitcoin is a kind of analogue of the country's money symbol, i.e. monetary unit. Let's try to evaluate it as a currency, i.e. assume that the price of bitcoin is nothing more than an exchange rate. In this case, the classical theory of finance, based on the absence of arbitrage, suggests that we start with purchasing power parity. Well, we have defined the equation, but can we apply it? The answer is "hardly". First, bitcoin is not a monetary unit of any country.

If the crypto currency is not money, then what is it? At the annual IFTA conference held in Milan in October 2017, Ferdinando Amertano argued that bitcoins have much more in common with gold than currency. We must say that this position has many arguments to call bitcoins - "digital gold". The fact of the limitation of both already gives them more in common than all the arguments in favor of the currency.

At the current stage, we have only one type of financial instruments - equity (we do not consider debt and derivative financial instruments, since the bitcoins have nothing in common with them even at the most fundamental level). How can we assume that bitcoin is an equity instrument? This crypto currency can be characterized as a share in a system that has a known limit. But again, to assess how an equity instrument is impossible - there are no cash flows, when liquidating its value is zero, it is difficult to determine the value of a balance sheet or similar market purchases.

Now, we think it's clear that bitcoin is an independent phenomenon that has no analogues. What we are seeing is a paradigm shift, rather than just an innovation. In academic literature the term "commodity money" gets its’ popularity. This is a completely new market, which at the moment is a big mystery, including its’ fundamental values and price forecasts.

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"Today, it is as difficult to find a profitable trading algorithm as an endangered species of snow leopard".

Ruslan Mikhailov, Head of Tradingene Market Research & Trading, live on Sochi Global Blockchain Summit 2018.

Full video from the Tradingene presentation coming soon.

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Tradingene team today is attending Sochi Global Blockchain Summit 2018, presenting first blockchain based marketplace of trading algorithms to investors and blockchain enthusiasts.

Global Blockchain Summit 2018 event is a major global platform assembling world-class leaders in blockchain development and investors supporting the industry.

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Definitely the project worth watching.
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Several reasons why we use machine learning and deep learning for Tradingene platform.
Quora` threas about how deep learning has become the most successful strategy in the prediction part of the trade.


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https://www.quora.com/Is-anyone-making-money-by-using-deep-learning-in-trading


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Step by step instruction: how to participate in ICO, work in the investor cabinet and buy TNG tokens

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https://medium.com/@tradingene/step-by-step-instruction-572195b026a4


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Dear members of Tradingene community!
We are writing to inform you that due to changing legal requirements in the United States, we have decided to move the date of our ICO to May 16, 2018.
Protecting our community members, creators and marketplace participants is of paramount importance to us.  Therefore, it is imperative for us to work closely with the United States counsel over the next few weeks to ensure that our documentation is fully compliant before going public.
For those who were preparing to participate in our pre-ICO beginning this Tuesday, March 20, we will provide an opportunity to take part in our private pre-sale. To participate, please, send your requests to e-mail address [email protected]. Participants who contribute between March 20 and May 10, 2018 will receive a thirty percent bonus. [NB: this is ten percent more than the maximum bonus proposed for the public pre-sale.]
The most important things you need to know about our new ICO dates are:
·   The transfer is final and will no longer be adjusted
·   ICO will end on June 23, 2018
·   All our obligations for the release of tokens remain within the previously designated time limits
·   As already promised before, TNG tokens will be issued rateable with the funds committed in the ICO process. The TNG booking is in real time. And emission not later then July 01, 2018
·   The date switch will not affect Tradingene's roadmap in any way. All stages of development and scaling of the Tradingene platform remain in place and our marketplace will open this summer as planned and the token release date will be as previously announced
·   Bounty hunters will get even more time to realize themselves and get even more rewards for all activities to support Tradingene
We want every user who participates in our ICO to receive much more than they expect. That is our overriding aim.
Please feel free to contact any of us with any questions you may have. We are grateful for your continued support and look forward to the next few months with great optimism.
Warmest regards,
The Tradingene team
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Solution 1. Tradingene provides free access to a comprehensive development environment with opportunities to attract investors.
Solution 2. Tradingene ensures transparency through the auction process and the use of smart contracts. Auctions guarantee the best terms for creators, while smart contracts control the agreement between an algorithm creator and an investor.
Solution 3. All algorithm creators generate success fees for profitable algorithms. Moreover, the success fee is set by the market via auction.
Solution 4. Appropriate incentive structures will reduce the quantity of low-quality algorithms. Furthermore, all algorithms will be evaluated using out-of-sample testing. This approach should minimize curve-fitted strategies.
Solution 5. Tradingene offers only algorithmic trading.

What is our mission? (video)

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Join Waves Telegram channel (https://t.me/Wavescommunity) at 2 PM UTC.

Please use this form to submit your questions: https://goo.gl/forms/5t9WHwv6von2gXky2                                                                             

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TNG token based on Waves.

The Waves platform is most popular among Russian and North American projects. The combined share of startups from Russia, the US and Canada is 40% of the total number of companies that have already issued or will issue tokens on Waves.

The Waves blockchain platform will introduce Atomic Swap technology in summer 2018. This will help users directly exchange Waves tokens for tokens on other blockchain platforms — for example, Ethereum. Atomic Swaps will significantly simplify and improve operations with dual token projects.

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Tradingene team is holding a live Q&A session with Waves Community this Thursday, March 15, in Waves Telegram channel (https://t.me/Wavescommunity) at 2 PM UTC.
Please use this form to submit your questions: https://goo.gl/forms/5t9WHwv6von2gXky2
#tradingene #tradingeneration                                                            
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Tradingene platform investor's personal cabinet prototype: trading robot choice.                                                               
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Collective Artificial Intelligence for Mechanical Technical Analysis

Because technical analysis uses only historical price data, it has affinity with machine learning approach and is often called modern technical analysis or mechanical technical analysis. In general, machine learning method is categorized as an artificial intelligence (AI), which is really a hot topic in the world since Google’s Al (AlphaGo) beat the world Go champion. Then, it has been called FinTech to apply Al for financial business intelligence.

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Professor Suzuki introduces some ideas to develop Al algorithms for technical analysis, such as collective intelligence and abnormally detection. The collective intelligence can enhance the predictive power by integrating many neural networks and can select the most reliable stock by following their consensus. Then, the autoencoder is a new neural network used for the deep neural network, and he applies it to the abnormally detection of noisy financial markets. To confirm the validity of these ideas, Professor Suzuki performs investment simulations and statistical significance tests with real stock price data.


https://www.trackico.io/ico/tradingene/


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