KACHING MEMBANGUN TEKNOLOGI DIGITAL UNTUK MASA DEPAN YANG TERBAIK

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Teknologi Blockchain menyediakan berbagai keyakinan digital yang dapat meningkatkan pasar uang untuk dikuasai oleh dunia cryptocurrency, Nilai perdagangan tidak pernah bebas dari naik turunnya fluktuasi nilai uang dan fluktuasi pertukaran uang, masuk akal untuk crypto komersial. perusahaan untuk menjaga sistem dari investasi, selain perusahaan tidak memiliki ide-ide kreatif, dan di sini kami akan menjelaskan tentang Perusahaan Koin Kaching.

https://kachingcoins.io/ mengumumkan ICO di mana peserta awal diundang untuk bergabung dengan proyek ini dan berkontribusi pada harga serendah mungkin.

KOIN KACHING Pada awal tahun, ada sejumlah besar pasar komersial dan komersial yang didominasi oleh pasar dan perusahaan kriptografi komersial dengan fitur-fitur tertentu. PERUSAHAAN COINS KARYA Menjadi salah satu perusahaan terbesar dengan kesuksesan masa depan yang besar di dunia Cryptocurrency.

Perusahaan KACHING COINS Menjadi salah satu perusahaan terbesar dengan kesuksesan besar di masa depan. Dalam dunia Cryptocurrency, perdagangan tidak pernah lepas dari naik dan turunnya fluktuasi nilai uang dan fluktuasi pertukaran uang, wajar bagi perusahaan crypto komersial untuk menjaga sistem dari investasi, selain perusahaan tidak memiliki ide kreatif.

Mengapa Kaching Koin?

Kaching Coins adalah ekosistem investasi paling lengkap di dunia, didukung oleh Blockchain.
Kaching Coins (KAC) adalah mekanisme untuk mentransfer nilai dalam kehidupan pernapasan ekosistem di semua subsistem dan ekosistem mikro dengan menawarkan investasi lengkap dan ekosistem perdagangan.

Kebebasan finansial adalah satu hal yang konstan ketika menanyakan orang tentang ambisi keuangan mereka. Namun, 90% pedagang dan investor kehilangan uang karena membuat keputusan putus asa dan emosional dengan tabungan mereka yang susah payah untuk maju dalam hidup. Mereka juga kehilangan besar karena ambiguitas dan agenda tersembunyi dari lembaga-lembaga terpusat tertentu. Dalam lembaga-lembaga terpusat ini, bagian informasi tidak efektif dan manipulasi pihak ketiga bersifat endemik. KachingCoins dikembangkan dengan satu tujuan, untuk menciptakan jaringan global terdesentralisasi dan transparan bagi masyarakat, untuk diversifikasi investasi dan mengamankan kebebasan finansial mereka.

Kaching Coins (KAC) akan menjadi mekanisme tunggal untuk mentransfer nilai dalam kehidupan ekosistem-pernapasan di semua subsistem dan mikro-ekosistem dengan menawarkan investasi lengkap dan ekosistem perdagangan- Kami menciptakan nilai bagi investor dan pengguna KAC. Kaching Coins adalah benar-benar token yang paling mudah digunakan. Dengan produk jadi yang siap diuji oleh investor Pra-ICO, Kaching Coins adalah ekosistem investasi paling lengkap di dunia, didukung oleh Blockchain. Kaching adalah salah satu hasil pengembangan industri blockbuster yang telah mengalami kinerja yang baik dan ide-ide bagus berdasarkan sistem yang secara langsung membuka peluang bagi investor untuk lebih terbuka dengan investasi simbolis. Menjadi salah satu platform platform pertama yang dihasilkan,

Mereka juga kehilangan besar karena ambiguitas dan agenda tersembunyi dari lembaga-lembaga terpusat tertentu. Di dalam institusi-institusi terpusat ini, bagian informasi tidak efektif dan manipulasi pihak ketiga bersifat endemik.

KachingCoins dikembangkan dengan satu tujuan, untuk menciptakan jaringan global terdesentralisasi dan transparan bagi masyarakat, untuk diversifikasi investasi dan mengamankan kebebasan finansial mereka. Jelajahi KachingCoins, Ekosistem Investasi Paling Lengkap Didukung oleh Blockchain.

• Siap Pakai: Jutaan dolar sudah diinvestasikan dalam platform ekosistem
• Komunitas Sedunia: Lebih dari 100.000.000 investor di seluruh dunia
• Huge Market Cap: 20 triliun dolar ukuran pasar dari instrumen investasi

Mengapa Kaching Berbeda dan Lebih Baik

Forbes.com, Mega.online, dan Quara.com hanya setetes air di situs web online dengan artikel yang mengklaim bahwa cryptocurrency lebih cepat, lebih aman, dan lebih nyaman daripada pesaing lainnya. di luar sana. Didukung oleh blockchain, ini mengklaim ka-ching dengan percaya diri terbukti saat kami berkembang menjadi ekosistem perdagangan dan investasi paling lengkap di dunia.

Kaching akan olahraga berbagai produk perdagangan. Dengan 160 instrumen perdagangan dalam 7 kategori; Forex, Saham, Indeks, Logam, Energi, Cryptocurrency, dan Pertanian, Kaching akan menjadi salah satu platform perdagangan yang paling beragam di dunia. Gabungkan dengan layanan lain yang kami sediakan; Broker, Exchange, Sistem Pembayaran, Solusi Perbankan dan Dompet, Dana dan Modal Ventura, Perdagangan Sosial dan R & D, Kaching akan benar-benar menjadi Jalur Sutra Perdagangan Finansial di abad ke-21.Ikuti kami di KERICAU 

Solusi

Jadi, bagaimana Blockchain menjawab kebutuhan Transparansi, Akuntabilitas, Keselamatan, Keamanan, Kecepatan, dan Kepercayaan? Untuk menjawab pertanyaan ini, mari kita lihat diagram berikut terlebih dahulu:

1. Transparansi, Akuntabilitas, Keselamatan, Keamanan, Kecepatan, dan Kepercayaan.

Menggunakan kekuatan Blokchain, Kaching bertujuan untuk mengatasi semua kebutuhan pasar dalam Industri Perdagangan Finansial. Transparansi, Akuntabilitas, Keselamatan, Keamanan, Kecepatan dan Truts menjadi kebutuhan utama pasar, Kaching telah mengatasi kebutuhan ini dengan menjadi blockchain pertama yang didukung sosial Platform Perdagangan dan Investasi.

1. Metode Deposit dan Penarikan Lebih Cepat dan Lebih Mudah.

Kaching telah mengidentifikasi ada Kunci Nasabah, Broker, Investor, dan Manajer Investasi (Pedagang). Memahami kebutuhan dari setiap Arketipe Klien, kami telah secara terampil menyesuaikan layanan kami untuk menjawab hal-hal penting ini.

1. Klien.

• Broker - Broker akan diterima untuk membuat profil perusahaan mereka di Platform Perdagangan Sosial Kaching. Di sini mereka akan dapat menjangkau pasar yang lebih besar dan berkomunikasi dengan mudah kepada para calon pedagang bahkan IB.
• Investor - Setiap pengguna dari setiap Platform Media Sosial dapat memberi tahu Anda bahwa Antarmuka pengguna dan Kegunaan dari perangkat lunak sangat penting untuk Pengalaman Pengguna dan Platform Fungsional. Kemampuan untuk mencari (Info dan Dana), Alokasi (Info dan Modal), dan Berbagi (Info dan Pengalaman) dengan mudah adalah beberapa prioritas yang paling penting ketika memikirkan "Pengalaman Investor".
• Manajer Investasi (Pedagang)

Tujuan

KachingCoins dikembangkan dengan satu tujuan dalam pikiran, untuk menciptakan jaringan global terdesentralisasi dan transparan bagi masyarakat, untuk diversifikasi investasi dan mengamankan kebebasan finansial mereka, dan Jelajahi KachingKoin Ekosistem Investasi Lengkap yang Didukung oleh Blockchain.

“Alasan utama mengapa Kaching secara intrinsik berbeda dari kebanyakan ICO di luar sana adalah fakta bahwa ekosistem kita dibangun untuk memberi nilai pada token. Kami sudah memiliki produk dan kami memiliki basis klien yang akan menggunakan token di seluruh Ekosistem. Itu sudah tumbuh! Itu tidak bisa dihindari! ”- Stephan Roos.

Ekosistem Kaching Ekosistem

Kaching akan menjadi ekosistem investasi lengkap yang didukung oleh Blockchain, yang memberikan nilai luar biasa untuk masing-masing dan peserta lainnya. The Kaching Coin (KAC) akan menjadi pusat dan sumber kekuatan ekosistem. Setiap bagian individu juga akan berkontribusi pada apresiasi nilai KAC.

Kaching Coin (KAC) berfungsi sebagai mekanisme untuk mentransfer nilai dalam ekosistem kaching. Kami menciptakan nilai bagi investor dan pengguna KAC,silakan kunjungi di sini KERTAS PUTIH 
Kaching Coins adalah benar-benar token yang paling mudah digunakan. Dengan produk jadi yang siap diuji oleh investor Pre ICO.

Detail Token

Setiap perubahan dalam perusahaan ini memiliki nilai komersial yang sangat istimewa. Memfasilitasi calon investor adalah salah satu hal yang harus diklasifikasikan oleh perusahaan-perusahaan CryptoCurrency di dunia, tetapi memberikan rincian yang jelas dan mendetail dan pada saat yang sama merupakan peta jalan yang menentukan apakah perusahaan benar-benar menghargai investor masa depan.

Jika Anda mencari tempat untuk menegosiasikan pasar di pasar mata uang, ini adalah solusi yang dapat Anda ambil sebagai salah satu opsi utama pasar perdagangan kriptografi berdasarkan platform blockchain.

Muncul dengan teknologi platform blockchain terbaru KACHING COINS Market adalah salah satu manfaat besar bagi keuntungan pemegang saham dan merupakan salah satu pertukaran kripto melalui sistem demokrasi pasar, bergabung dengan Telegram Group kami: TELEGRAM 

Program Tokenisasi & Bonus

Token Standart - Ethereum ERC 20 Token
Nama Token: KAC
Kuantitas: 247.000.000 KAC
Platform: Universal ERC-20
Nilai Tukar:
Penjualan Pre-ICO kami akan dimulai pada 31 Maret.

Alokasi Token

Distribusi Dana

Sebagian besar Platform Perdagangan tidak akan dapat menawarkan Anda pilihan untuk mendiversifikasi alokasi dana Anda ketika datang untuk berinvestasi dalam berbagai instrumen perdagangan. Dengan ekosistem kaching, Anda akan dapat mengalokasikan modal Anda ke dalam aliran investasi yang berbeda sehingga untuk mengelola risiko Anda lebih baik dan tidak memiliki semua modal Anda dalam satu keranjang telur pepatah. Keanekaragaman dan penyesuaian investasi adalah bagian dari apa yang ingin ditawarkan Kaching ke pasar,Ikuti kami di TELEGRAM .

Jadwal Distribusi Token melalui ICO

Peta jalan

• 2015 - 2017: Penciptaan Ide Yayasan Proyek, pembentukan tim, Kaching Global Fintech Ltd. didirikan di London, Inggris. Nomor perusahaan 11095157
• Feb 2018: Token Swasta Penjualan Swasta bulat distribusi token untuk pengguna awal dengan bonus 66% dalam jumlah hanya 2 minggu.
• Mar 2018: Penjualan Pribadi Token Putaran pertama dan kedua untuk rilis token. Setiap putaran hanya berlangsung selama 2 minggu. Beli dengan bonus 33%.
• Apr 2018: Pre ICO 4 ronde utama rilis token untuk umum. Setiap putaran hanya berlangsung selama 2 minggu. Beli dengan bonus 25%
• Mei 2018: ICO Kaching Coin (KAC) mulai terdaftar di bursa internal dan global, memfasilitasi perdagangan.
• Sep 2018: Platform Perdagangan Sosial Grand Lauching, elemen kunci pertama dalam ekosistem tempat investor, pedagang, IB berbagi keuntungan dengan satu sama lain
• Q1, 2019: Dana Besar dan Pengguna Membawa dana kelas dunia secara dramatis meningkatkan profitabilitas investor dan nilai total ekosistem
• Nanti: Ekosistem Paling Lengkap Mengembangkan Acedemy, RnD Lab, Seluruh ekosistem dan mulai membagikan dividen kepada pemegang token.

Kesimpulan

kami ingin menawarkan klien kami pilihan untuk menyesuaikan kepentingan keuangan mereka sendiri dan membangun menuju kebebasan finansial. Kami menjamin transparansi mutlak karena semua transaksi dicatat oleh sistem blokchain. Tidak akan ada biaya transaksi dan manipulasi pihak ketiga. Setelah investasi Anda di Blokchain dan memiliki CryptoCurrency, orang dapat yakin bahwa dana atau modal semacam itu tidak dapat disita oleh pihak ketiga atau lembaga mana pun, karena tidak Terkendali oleh Sentral Federal Reserve. Menggunakan Platform Blokchain, itu juga Hampir Tidak Mungkin untuk diretas.

Anggota Tim dan Penasihat

1. DEREK SANDHEINRICH - Fintech Ahli / Penasihat
   Derek adalah para wiraswasta yang bersemangat secara global dan bersemangat yang secara konsisten berorientasi pada hasil dan seorang pemikir analitis yang kuat.
2. STEPHAN ROOS - CEO / Co - Pendiri
   Konsultan bisnis, ahli pemasaran, ahli strategi internasional.
3. SIMON BOLVIG MARK - Social Trading Expert / Advisor
   Ahli dalam memberikan solusi yang mengganggu dan inovatif untuk industri keuangan.
4. TAHSIN HAYKAL - Ahli Pialang
   Tahsin adalah Direktur Pialang Berpengalaman yang memiliki sejarah bekerja di industri pasar modal.
5. TUNG PHAN - Chief Human Resource Officer
   Tung memiliki lebih dari 24 tahun pengalaman.
6. JAMES THAI - Pakar Teknis
   25 tahun pengalaman Kepemimpinan dalam Transformasi TI, Inovasi, dan Emerging Technology.

Bergabunglah dengan daftar putih kami https://drive.google.com/file/d/1VDImRBOHQVYeDVSvy3qkkcgrn9vaeF43/view untuk mendapatkan token. Token KachingCoins Sales Team adalah klien platform pertama kami. Kami menjalankan program rujukan pada platform desentralisasi KachingCoins untuk Penjualan Pra-ICO dan Token.

Kunjungi Selengkapnya Link berikut ini :

Situs Resmi  Whitepaper  Facebook  Linkedin 

Medium  Pinterest  Tumblr  Youtube 

Instagram Twitter Telegram  Google Plus 

DETAILS AND DESIGN OF SIGNAL NETWORK PROJECTS

Information of the best plan of network signal project in building and developing of all the programs in the go.

In February we've announced our partnership with SafeDX data center co-founded together by Foxconn and Intel to provide Signals with a powerful infrastructure to collect and process terabytes of data from cryptotrading markets. These days, SafeDX is implementing a new Intel Rack Scale Design (Intel RSD) solution, first of its kind in Europe. We are proud to be the first company using their own OpenStack based on this revolutionary infrastructure and present our unique use case on Intel Partner Connect Europe in May.

Ideal infrastructure for advanced trading algorithms
Intel RSD architecture enables a dynamic composition of resources to meet specific workload requirements. This is the ideal for demanding computations using algorithms such as LSTM Neural Network or recurrent neural networks in their input and predict the next value. Signals are working in collaboration with SafeDx on using this scalable infrastructure for prediction of trading time series from crypto markets in real time.

Signals philosophy is to encourage traders, developers, and data scientists to create new trading models by providing them with the best tools on the market. Signals platform shields traders without coding skills from the implementation details signals Strategy Builder. In the same way, Signals shields data scientists and developers from the underlying infrastructure and enables them to fully focus on trading models and algorithms. Providing this new infrastructure to your trading algorithms without wondering about scalability or performance.

Together with our partner Quote from Intel Partner Europe conference in Prague, May 15-17, 2018. Stay tuned, we will keep you updated!

Working hand in hand, Signals and SafeDX data center can efficiently collect and pre-process big data from various crypto-markets in real time.

To enable the storage and processing of terabytes of data within the cryptotrading market, as well as media analyzes and blockchain monitoring, Signals is collaborating with SafeDX.

SafeDX is a powerful data center with related computational infrastructure based in Prague, the capital of Czech Republic. Co-founded by Foxconn, SafeDX is part of the Foxconn group's international network that offers data center services. It specializes in providing big data IT services with an excellent level of security and flexibility, as well as low operating costs. This makes SafeDX the perfect match for Signals' goal to run complex data operations in a short amount of time. The goal of this partnership is to enable Signals to download and process terabytes of data every day. By data, we refer to the data within the crypto trading market - data related to sentiment analysis and blockchain inspection.

"Vladislav Kral, project director at Foxconn Technology CZ, said:" Vladislav Kral, project director at Foxconn Technology CZ, says the computing power that we have put in place based on our strategic relationship and collaboration with Intel. "

SafeDX primarily focuses on the Central and Eastern Europe region, but it is perfectly capable of supporting the activities of clients anywhere in Europe and Asia. Signals' partnership with Foxconn, together with the cooperation with Intel, will create the infrastructure necessary for a platform of data storing, scaling and speed of processing. This partnership is crucial for collecting and pre-processing large amounts of data from various crypto-markets in real time. It enables cryptotraders to make smarter, faster trading decisions and to maximize their profits.

Foxconn does not need any introduction in the crypto community. Besides being the largest manufacturer of electronic products and providing worldwide data center services, they offer out of the box hardware configurations for crypto mining. Another noteworthy fact: Foxconn invested in blockchain technology and even its own subsidiary blockchain company, called Chained Finance.

We 'll like to fill you in on how the SGN discount structure works during the upcoming Signals Token Sale.

A visualization of the SGN token discount structure.
SGN token discount structure
The price of the 1 SGN token without any discount is set at 0.00036 ETH ($ 0.36 with the Ether price fixed at $ 1000). In the main Token Sale, there is a discount structure based on the amount of tokens that have already been sold. The discount structure functions in the following way: The first participant of the Token Sale will have a discount of 15%. This price will be USD. USD raised during the sale.

Once we've reached the middle of the Token Sale (participate in the sale is worth $ 9M), participants will receive a discount of 7.5%. It is also important to mention that the first participant buys SGNs for 100 ETH, the discount of 15% is applied to the total amount in this purchase. Thus, it is beneficial for the participants to make a single discount purchase and receive a less discount.

The SGN Token Sale starts on March 12, 2018
Make sure to register and go through our Know Your Customer (KYC) process before the Token Sale begins - this way, you can avoid the crowds at the start of the sale. You will need to go through the KYC process even if you are already registered during autumn 2017 and participated in the SGN token presale.

The final countdown to the SGN Token Sale starts now! Stay tuned for more news leading up to the sale from our team.

If you go to college and take a course "Machine learning 101", this might be the first example of your learning machine teacher will show you:

Imagine you work for a real estate agency, and you want to predict, for how much a house will sell. You have some historical data - you know that house A has been sold for $ 500 000, house B for $ 600 000, and house C for $ 550 000. You know what about the house in square meters, number of rooms in the house, and the year the house was build.

The goal of the real estate agency is to predict, for how much a new house D will sell, given its known properties (size, age and number of rooms of the house). In ML terminology, the known properties of the house are called "features" or "indicators" (we use the term "indicators" in Signals, since this term has been historically used in trading). The price of the house is your "target". [3] [9]

Let's look at the data with a human eye:

Each row is a training example, and it contains three indicators and one target value. You might find that smaller houses are cheaper, and that newer houses are more expensive. You can use this data gained from historical data and if a new house comes to your agency, you might price it accordingly.

OK, but what if you have much more data, let's say hundreds of thousands of houses? You as a human will never be able to process such data. Another problem can appear if you have lots of indicators - not only number of rooms, size and age of the house, but let's say thousands of indicators. Your human mind will have great difficulties to reveal relationships between these features. It may take you months of trying to understand the data, and still you might just project your false assumption - for example, you believe that bigger houses are more expensive before you saw the data, and you will be tempted to believe it even if the data say otherwise. [5]

What if someone else can learn from this data, someone who is much better suited for processing huge and somewhat boring structured data? An algorithm? A "machine"?

It turns out that there are such algorithms. Machine learning algorithms, which accept the data in the format we have shown above, learn from these data (and we can say that we "train" the algorithm on the data, so these data are called "training data"), and when they later receive a new, unseen example, they output a prediction. These algorithms can be as simple as linear regression and as complex as neural networks, but it is just mathematics. The main idea behind all these algorithms is optimizing on the known data to find a function (linear in the case of linear regression or quite complex in the case of neural networks), which fits the data well but not too much to "overfit". This fitted function is then used to predict the "target" for the unseen data. [6] [12] [8]

How do we use machine learning in Signals?

Machine learning is much more than the simple example described above. In Signals, we use ML in the following ways:

1. Strategy optimization
Even if you decide not to use machine learning and to define your strategy manually, methods from computer science and statistics, which are closely related to machine learning, can help you.

In your strategy, each indicator has several parameters. You might use a random set of parameters, or you can try to grid-search through all the parameters and use parameters which perform best on historical data. The problem is, the first approach never works, and the latter approach becomes computationally unfeasible if you have more than just a few parameters.

This problem is called optimization and is well-studied. In Signals, we implement genetic algorithms for parameter optimization, and in the future we plan to implement other methods, such as bayesian optimization. [4] [12]
2. Signals extraction
This use of ML is most similar to the article. In Signals extraction, the data we use are time-series data, such as bitcoin price chart. The user selects indicators (features) from Indicator Marketplace and feeds their extracted from time series to machine learning algorithm. The ML algorithm then learns from the data, finds non-linear relationships between the indicators, and predicts the target value on the data. [10] [16]

How does Signals extraction works?

Time series preprocessing is needed in many other fields than in trading - speech, audio or accelerometer signal processing, weather forecasting, ...

In trading, technical analysis indicators are popular. There are many reasons to learn from the traders. You can find them implemented in most trading software.

Traders mostly use these indicators to indicate. [7] [2] At Signals, we provide algorithms for algorithm.

We call this feature Signals Extraction, users select the combination of theories which they want to use in their model. [9] [13] Once the signals are performed on historical data (let's say January to May), the Signals platform evaluates its performance on unseen historical data. and profit.

This ML playground will enable users to experiment with multiple ML algorithms with different subsets of indicators and use only the algorithm which performed well on unseen historical data to make money in the real world!

Signals give you the playground and the experts take care of the data flow, so you will not make some stupid mistake - as implementing the features / algorithm incorrectly and give them completely unmeaningful parameters, or as predicting the past.

However, there are many things you will have to decide for yourself.

Which combination of technical indicators will you try, and what kind of parameters for the indicators will you use (e.g. sizes of time window)?
Will you try some feature (indicator) selection / transformation algorithm?
What kind of machine learning algorithm will you try? What parameters of these algorithms?
Will you learn on the whole historical data, or just on past few months? Or will you always learn only on the past few days and predict the next day?
What will be your target? How will you define the buy / sell signal?
There are so many options and so much data, that you will not be able to try all of them. That's what makes algorithmic trading so addictive.

3. Indicators based on Machine learning
In the example of toys with home prediction, there is one important thing to note: the indicators are designed by humans. One must decide that the algorithm will learn to predict the price of the size of the house, the number of rooms and the age of the house, and not from other known properties, such as the first letter of the street or the second letter of the city. The technical indicators described above are also designed for humans, and although they work very well in many ways, they may work better with other features - features based on machine learning.

Machine learning techniques can be used for

1. study the full indicator of unstructured data, use for example a single layer or deep neural network. [1]

2. create indicators using advanced ML techniques, such as when you use the Natural Language Processing method for media sentiment analysis and social networking.

Your machine learning Predictor can use this ML indicator in addition to technical indicators. One of your new indicators, which you will feed the ML predictor, may be the sentiment (mood) of bitcoin on Twitter in the last 10 minutes (on a scale of 1-10) and other new indicators may be representations of neural networks (= vector n- dimmensional) learning from the Ethereum timeline in the last 15 minutes.

Of course, you can decide to fully trust the machine and use only machine-based indicators to feed your ML predictors! On the other hand, you can add some human engineering features to the indicator-learning algorithm - for example, you might feed them with data changed by Fourier transforms instead of raw signals.

There are also machine learning algorithms designed to work with raw time series - they take the time series as input and predict the next value. Probably the most popular of these algorithms is LSTM. LSTMs are difficult and expensive to train (which can actually be your advantage in the trading market!), And they work really well for some time series issues. You can experiment with LSTMs in Signals. [11] [14] [15]

One of the best things about Signals is that you can apply your own indicators. 20% token will be used to support the Data Sciences community and we are excited to see what new indicators the community will bring to the platform as we have received many collaborative requests from developers of the data science community.

Of course, each indicator must apply the Signal indicator specification so that it can be automatically used as a graphical component in the Signal Strategy Maker and used by cryptotraders.

[1] A. Coates, H. Lee, and A. Ng., "Single-Layer Network Analysis in Unattended Learning Learning", JMLR Workshop and Conference Proceedings, vol. 15, p. 215-223., 2011.

[2] A. N. Azizan and J. C. P. Mng, "Can technical analysis predict price futures?", IUP Journal of Financial Risk Management, vol. 7, no. 3, p. 57-75, Sep. 2010

[3] A. W. Lo and A. C. MacKinlay, "Stock market prices do not follow a random path: Evidence from a simple specification test," Rev. Financial Stud., Vol. 1, no. 1, p. 41-66, Jan. 1988.

[4] D. Barber, Bayesian reasoning, and machine learning. Glasgow, U.K.: Cambridge University Press, 2012.

[5] G. Friesen and P. A. Weller, "Quantify the cognitive bias in the analyst's earnings forecast," J. Financial Mark., Vol. 9, no. 4, p. 333-365, November 2006.

[6] I. Kaastra and M. Boyd, "Designing a neural network to forecast a series of financial and economic times," Neurocomputing, vol. 10, no. 3, p. 215-236, April 1996.

[7] J. Stanković, I. Marković and M. Stojanović, "Optimization of Investment Strategies Using Technical Analysis and Predictive Modeling in Emerging Markets" Procedia of Economics and Finance, vol. 19, p. 51-62, 2015.

[8] K. P. Murphy, Machine learning: A probabilistic perspective. Cambridge, MA, USA: MIT Press, 2012.

[9] M. T. Leung, H. Daouk, and A. S. Chen, "Forecasting stock indices: Comparison of classification models and level estimates," Int. J. Forecasts., Vol. 16, no. 2, pp 173-190, April-June. 2000.

[10] NI Indera, IM Yassin, A. Zabidi, and ZI Rizman, "Non-linear autoregressive with an exogenous bitcoin bitcoin price prediction (narx) model using optimized PSO parameters and moving average technical indicators," J. Fundam . Appl. Sci., Vol. 9, no. 3 S, p. 791-808, September 2017.



[11] Ordóñez FJ, Roggen D. Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition. Liu Y, Xiao W, Chao H-C, Chu P, eds. Sensors (Basel, Switzerland). 2016; 16 (1): 115. doi: 10.3390 / s16010115.



[12] S. A. Mitilineos and P. G. Articists, "Forecasting future stock prices using artificial neural networks and genetic algorithms," Int. J. of Decision Sciences, vol. 7, no. 1/2, pp. 2-25, April 2017.



[13] S. Thawornwong and D. Enke, "Selection of adaptive financial and economic variables for use with artificial neural networks," Neurocomputing, vol. 56, p. 205-232, January 2004.


[14] T. Fischer and C. Krauss, "In-depth learning with short-term memory networks for financial market predictions," Eur. J. Oper. Res., 1-16, January 2018.

[14] X. Pang, Y. Zhou, P. Wang, W. Lin, and V. Chang, "Innovative neural network approach to stock market prediction," J. Supercomput., Pp. 1-21, January 2018.

[16] Y. Shynkevich, T. M. McGinnity, S. A. Coleman, A. Belatreche, and Y. Li, "Forecasting price movements using technical indicators: Investigate the impact of various lengths of the input window," Neurocomputing, vol. 264, p. 71-88, November 2017.


             

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Btt: https://bitcointalk.org/index.php?action=profile;u=1530903

VISION AND MISSION DETAILS https://signals.network/ IN DEVELOPING PERFECT PROJECTS

We realize that the crypto markets have suffered a good deal of volatility in the recent weeks. A public token sale is by definition a participatory venture, where everyone succeeds only if the whole thing succeeds. You don’t have to worry, we are far behind hitting our soft cap, and we have already agreed with multiple exchanges to list our SGN token starting from the beginning of May 2018.

Nevertheless, we’re just getting closer to hitting a third of our target cap and the token sale end has been postponed untill the end of the month, April 30th, 2018. Therefore we’d like to tell you a bit about how we’re making sure that the public token is a great success and a great opportunity for everyone.

1. Who comes first, earns more

There is still time to buy discounted SGN tokens. The first participant of the Token Sale had a discount of 15%. Currently, the discount is around 12%and keeps getting smaller with every SGN token purchase.

You can learn more about the discount here.

2. We have fixed price of Ether at $1000

To protect token sale participants from the recent drop of the Ether price in USD and with a belief that the market will recover soon, we have decided to fix the ETH price at the rate $1000 in the Signal Token Sale smart contract. With the current price of Ether at approximately $500, you will get one SGN token for $0.18 instead of the base price at $0.36.

Learn more about the fixed price of Ether at $1000 here.

3. All potentially unsold tokens are redistributed among token sale participants.

The pool of tokens dedicated to the token sale amounts is 50% of the total token supply. In case there are any unsold tokens left in this pool after the end of the token sale, we will redistribute all remaining tokens to the SGN token sale participants.

This means that in case the hard cap is not reached, your bonus will be even higher.

Learn more about the token redistribution.

We believe that the combination of those three benefits makes the participation in Signals token sale an interesting investment opportunity.
Please let us know if you have any questions.

Crypto markets have suffered a good deal of volatility in the recent weeks, with the price of Bitcoin dropping below $9,000, altcoins are following the same path, including Ethereum.

We believe in a decentralized future, and Vitalik Buterin’s ingenious idea materialized into the Ethereum blockchain. Even though its price has been volatile, we think that its potential is enormous; big companies have integrated it into their operations, top universities have set up lectures about it, more and more bright minds are establishing progressive and disruptive companies based on it. Therefore, we think that the current price of Ethereum does not reflect its potential and real value.

Many projects doing the ICO, including Signals, start a Token Sale by locking the token price in Ethereum according to the current rate USD/ETH 24 hours before the start of the sale. As many other alts, the Ethereum price is dropping, with the current value below $700 (ATH ~$1400) [30/3 update: ETH price is +- $390). Locking the price at $700 or lower amount could lead to an unfair situation during the 4 weeks of the main sale where investors get SGN tokens according to an Ethereum price locked at $700 when in that moment it is above $1000.

To avoid this, and with the objective of having a fair and satisfactory Token Sale for everyone, we have decided to give you an advantage. We have decided to fix the price of Signals (SGN) token at an Ether price of $1,000,even though its current market value is approximately at $700.

This decision also applies to our presale participants: We will give presale participants the same conditions when purchasing SGNs during the Token Sale. Although we’re aware that our presale participants purchased tokens when the market price of Ethereum was significantly lower than $1,000, they will receive additional SGN tokens as if the price of ETH was at $1,000.

What if Ethereum surpasses $1,000 during the Signals Token Sale?

If the price of Ethereum rises even more during the Token Sale and it surpasses the price fixed at $1,000 at the beginning of the sale, the total market value of raised ETH will reach the $18,000,000 hard cap sooner. In this case, we will stop the sale immediately and redistribute the rest of the tokens to all Token Sale participants (respecting the discount they receivedwhen they bought SGNs). That’s how we will ensure that even if the ETH value raises, the Token Sale will remain fair for all participants — including the first and the last participants, as well as participants from the pre-sale and the main sale.

Read our blog posts to find out more about how to participate in the Signals Token Sale and how the first participants get the largest discounts.

How does Signals plan to allocate funds raised in the Token Sale?

Our team intends to use a substantial amount of all of the proceeds of the SGN Token Sale to originate and subsequently to progress the development of the Signals Platform. Below, we break down just how the raised funds will be allocated. Keep reading to learn more!

A breakdown of how the Signals team plans to allocate the funds raised during the Token Sale.

Approximately 35%: Development and Infrastructure

We engage UI/UX experts, enterprise solution architects and developers, machine learning developers, distributed algorithms experts, mobile app developers and testers. It’s our goal to implement a cloud-based platform, daily processing of terabytes of data, connections to decentralized cloud computing system and other blockchain services, exchange connections.

Approximately 15%: Data Science and Research

Research is important to Signals. It helps us develop the Signals Platform, as well as to gather collective data science knowledge. Our aim is to do this through utilizing machine intelligence experts. We plan to support machine learning research and also contribute to it ourselves, using any new machine learning techniques available to deliver our users a more refined and optimized product

Approximately 18%: Platform Operations & Security Audits

It’s our goal to protect customers’ finances by providing continual quality assurance of our code and strategies. Further operations and auditing tasks include: data storing and processing infrastructure, computational power, listing the SGN token on exchanges, purchasing of historical data sets, protecting user data and performing security audits.

Approximately 6%: Legal and Finance

It’s crucial that Signals needs to comply with legal obligations and the regulatory environment. This includes handling any legal and regulatory requirements to ensure we are in compliance with local laws in countries in which we operate.

Approximately 8%: Group Operations and Administration

This percentage of our proceeds is dedicated to general operational overhead expenses and office space.

Approximately 6%: Marketing and Sales

Proceeds dedicated to marketing and sales-driven initiatives cover the development of revenue streams and acquiring new users to become a global automated trading platform.

Approximately 2%: Community Education

This includes organizing meetups and educating people to be able to understand the trading patterns on their own.

Approximately 10%: ETH & Liquidity Reserve

Crypto currencies including ETH are volatile; a reserves helps provide comfort that even if the value drops, the company will have enough resources to operate and develop. This portion of the proceeds is also dedicated to an unexpected expenses reserve.

Please note: Signals reserves the right to modify its use of proceeds at its discretion, and all estimates provided as part of this Use of Proceeds post are subject to change.

• Blockchain
• Token Sale
• Initial Coin Offering
• ICO
• Ethereum 
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