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Universal Bypass - Changelog

Universal Bypass

Changelog

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13.0 — The Design Update

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12.0 — The Updated Update

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11.0 — The Timed Update

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Everything You Need to Know About WaykiChain

Everything You Need to Know About WaykiChain
https://preview.redd.it/6gvkwst0chw11.png?width=880&format=png&auto=webp&s=8e34f501819e16b6c2c286b9c02c9f357a15ba0a

What is WaykiChain?

WaykiChain is a block public chain focusing on blockchain technology development and related operations. WaykiChain has positioned itself as an infrastructure that is based on both Ethereum and Blockchain, intending to trigger a collective growth of different industries by presenting an enterprise solution.

Determined to build a world-class decentralized platform and ecosystem, WaykiChain launched the first smart-contract-based game prediction DApp in May 2018 with over 130,000 install volume, token WICC listed in 100+ exchanges, peaking at $3, community members over 300K, is believed to be innovating a new business model in the new era.
WaykiChain, a team focused on blockchain industry’s foundation and application development, now consisting of nearly 70 people, with core members from world-renowned companies such as Alibaba, Tencent, Morgan Stanley and Intel, is hoping to ultimately achieve an ecosystem that everyone can participate in the building and share the results.

Where is WaykiChain Heading?

The future of WaykiChain is a big community-driven public chain ecosystem. WaykiChain aims to build a decentralized application platform that can provide users with complete on-chain smart contract system. Anyone can realize their business ideas on WaykiChain and develop their own DApp, and build their own brands.
WaykiChain takes decentralized prediction, assets trading and forex trading as entry industries to expand markets in the early stage. After accumulating plenty of application users and developers, WaykiChain will gradually perfect its upper blockchain applications.
Currently, WaykiChain tech team is focusing on underlying public chain development. WaykiChain will provide friendly development environment to developers with sufficient development templates an interfaces. Besides, WaykiChain team plans to take a part of WICC as reward those developers who have made important contributions to the community. WaykiChain is committed to building an underlying technology platform that truly integrates blockchain application and real business. Along with its development, WaykiChain will gradually grow into a big ecosystem with totally decentralized operations, and brings the convenience of blockchain to every user.

Further Reading

White Paper
WaykiChain white paper is in update now, and will be available soon.
Huobi Project Center
https://www.huobi.br.com/projectcenteproject/?id=91&utm_source=Marketing&utm_medium=Referral&utm_campaign=WICC
Waykichain Developer-Friendly Community
http://www.waykichain.com/announcement.html?id=887

WaykiChain’s Technology

Consensus Mechanism
Delegated Proof of Stake (DPoS) is a consensus algorithm maintaining irrefutable agreement on the truth across the network, validating transactions and acting as a form of digital democracy. Delegated through token holders’ vote, ledgers nodes will package all the transactions in the block and get corresponding reward. DPOS can maximize token holders’ interests and network performance, meanwhile minimize the maintenance and operation costs.
WaykiChain adopts DPoS, which is the most adaptive consensus mechanism for developing and operating applications on chain. The block is successively generated by 11 ledger nodes. Every 10 seconds, a new block will be generated on WaykiChain. Verified by WaykiChain mainnet operation, the transaction confirmation speed can reach 1000+tps.
Vote Mechanism
WaykiChain adopts DPOS consensus mechanism with 11 ledger nodes. When a block is generated, a node is elected with the most votes according to random perturbation algorithm from the 11 nodes. Then ledger node gains all of the transaction fee in its ledger block. Users can get proportionate votes by locking their WICC. Every node can be cast for 11 candidates at most. Every voted user will be awarded proportionate interest. When users’ corresponding accounts’ votes changes, the interest from voting will be received automatically. The first year’s rate of interest is 5% and it will decrease 1% annually during the following years. Finally, the annual rate of interest will be fixed at 1% permanently.
Smart Contracts
WaykiChain is a smart contract platform that supports Turing devices. These smart contracts can help in a variety of real-world applications including copyright issues, decentralized exchanges and asset problems. It adopts DPOS consensus mechanism, sets up 11 voting nodes, and generates a new block every 10 seconds. According to detailed calculation by WaykiChain team, currently, the confirmed transaction speed can reach 1000+tps.
WaykiChain’s smart contract can be built using the programming language Lua. Lua was developed in the early 1990s and has an extensive developer community. It has been used in desktop development, web development and the Internet of Things. It also is one of the easiest programming languages and hence it provides an incentive for developers to code on WaykiChain’s platform.
Sidechain
The most popular smart contract cryptocurrency Ethereum, failed when Cryptokitties were released. Ethereum’s network was unable to handle the massive influx of users. Thus, scalability remains a huge problem. Fortunately, WaykiChain has a feature known as sidechains which can deal with huge amount of users. Applications built on WaykiChains will have their own sidechains and they are not linked in any way to each other.
WaykiChain Ecosystem Development System
WaykiChain ecosystem development system is driven and co-developed by three parties: WaykiChain core developers, open source community developers and business developers. In the decentralized system, WaykiChain team will provide technical standards and community contribution incentives to ensure that the entire ecosystem moves forward as a whole. On the basis of the underlying public chain, plug-ins, and smart contracts, business developers are able to develop applications efficiently and build their own brands with blockchain’s credit endorsement.
WaykiChain plans to establish Technology Research Academy to gather a group of outstanding developers with decentralized blockchain beliefs. WaykiChain will provide underlying technology support and standards. Developers in the academy can free communicate, learn from each other and co-develop a fully decentralized community.
Ecosystem Layered Architecture
WaykiChain technology stack consists of four layers: the core node layer, the wallet node layer, the application platform layer, and the DApp application layer. Any developer can choose which layer to start development based on their own development capability, business needs, and application flexibility needs. WaykiChain core technology team is committed to providing the develop-friendly interfaces of each layer and improving the technical documentation to help the community better build the ecosystem.

Further Reading

WaykiChain Github: https://github.com/WaykiChain/WaykiChain
How Does WaykiChain Work?
WaykiChain uses a DPoS consensus mechanism with eleven accounting nodes. The annual rate of return is 5% for the first year, with a 1% increase with every year that goes by. Each time a block is created, an accounting node is randomly associated. The accounting node gains all of the transaction fees in its accounting block. Users can earn interest by locking WaykiChain coins. The interest is automatically determined each time the votes for the corresponding user account change.
The terms of betting are triggered by the initiator through smart contract transactions. Users can initiate various betting contract transactions, all of which can be searched and identified in the block browsers. When the betting is over, the bet initiation will publish the final results and the gaining will be then shared accordingly. In short, the betting revenue is automatically issued to the user’s wallet after the betting results are displayed.
The smart contract provided by the platform makes it possible for asset initiations to create dividend sharing rules. These rules are only triggered by various conditions. Hence, the final price of the assets in circulation will be determined by the market’s behavior towards the object in the transaction.

WaykiChain Applications

Token System
Waykichain Token, WICC is a token only used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC Lock Revenue Sharing Plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. This means WICC will be listed on lots of exchanges and traded with other cryptocurrencies, thus WICC also has trade value.
WaykiChain Block Explorer
WaykiChain official block explorer is a data display system for WaykiChian applications, which displays the WICC transfer and transaction records, account balances, prediction games transactions, and payout results according to application data on the blockchain. All data is open and transparent and inherently irreversible.
WICC Lock & Revenue Sharing Plan
In order to reward all community supporters and provide a channel for application operators to make retribution to community, WaykiChain launched WICC Lock & Revenue Sharing Plan. Application operators can provide a portion of the proceeds to the community members to encourage their contribution to the entire public chain, and to motivate the community to continuously improve the public chain as a more robust underlying system. Investors can lock their own WICC, as a way of showing long-term optimism about the project, to get a certain amount of revenue.
Investors can lock a certain number of mainnet WICC through the entrance in WaykiChain DApp. During the lock period, this part of WICC cannot be traded, transferred, or consumed as transaction fee. When the lock period expired, WICC will be automatically unlocked and become tradable. During the lock period, investors will receive WICC revenue at the end of each month. The amount of each investor’s WICC revenue is related to his/her WICC lock volume and duration, total WICC revenue generated during the period, and the total WICC lock volume and duration of all investors participating in the lock plan during this period. Specific calculating formula is as follows:
WICC Lock revenue Calculation Formula:
Each investor’s daily WICC revenue = Each investor’s lock index / The sum of each investor’s lock index * Total WICC revenue that day
Each investor’s lock index = Each investor’s WICC lock volume * Time index * Volume index

https://preview.redd.it/7c273o53chw11.png?width=689&format=png&auto=webp&s=219d1e810f4d9217c55c336273b6d2f021257dfa
Time Index Table
Decentralized App
The first smart contract based application delivered by WaykiChain’s team is the WaykiChain decentralized betting application. In this application, the smart contract will assign a time duration in which the user can engage in the betting process. All the conditions related to betting will be given. When a bet is finished, the contract will release the results. The smart contract will then reward the winners.
This DApp was launched in May 2018, attracting over 130,000 users to download and bet and has been upgraded to V2.1 ever since. The latest product WaykiBet DApp V2.5 is planned to launch in November along with a new WaykiChain wallet.
WaykiBet V2.5 enables a new feature that everyone can be a bookmaker. With the authoritative event data and services provided by WaykiChain DApp, user even without any technical or product background can build a bet in simply one-click. And at the end of the game, WaykiBet will automatically call the smart contract to calculate the bet results and deliver payouts, without any manual participation.
Besides, WaykiBet V2.5 has exempted the betting fee through the structure optimization and allows the player to participate in the betting directly after creating a new wallet without activation to ensure users outside of the cryptocurrency industry can be involved in the easiest manner.
WaykiTimes Wallet
The new WaykiChain wallet, named as WaykiTimes will retain the original wallet functions, such as Lock Revenue Sharing and node voting. The newly added “Forum” gathers the community of WaykiChain and blockchain together, will become an ecology of open communication. Meanwhile it will has a “News” section to meet different users’ needs. In the future, WaykiTimes will implement WaykiChain token economy to encourage the community members.
Getting Setup
Download WaykiBet DApp V.2.5 at official website: https://www.waykichain.com/

Meet the Team

WaykiChain team is comprised out of over 60 individuals with relevant experience in marketing, business, betting, lottery, betting and crypto industries.
Wayki Sun, Founder & CSO
One of the earliest digital currency investors and entrepreneurs in China. The founder of Xinhuo Network, the founder of Ou Lu Zhong Chou and the Managing Director of Jufeng Digital Asset Management Co., Ltd. Sun led an investment team of hundreds of people with great achievements made in stock, foreign exchange, futures and digital currency markets.
Gordon Gao, CEO
Gordon Gao, an alumni of Columbia University, ex-Lead Data Scientist of Fishbowl in Wall Street, ex-Senior Data Analyst of Alibaba Group, senior member of Mensa International Club. He is responsible for offering support to WaykiChain’s commercial model designing and strategy planning, building up a digitalized monitor system for products and operation and promoting WaykiChain overseas with his international background.
Tony Chau, Co-founder & CBO
Bachelor’s Degree in Finance from the University of Toronto in Canada and served in Hongshang Asset Management Co., Ltd. Focused on industrial surveys and commercial analysis, with in-depth research and distinctive perception on business operation models, and professional financial knowledge and complete project experience.
Tame Huang, Chief Consultant
The founder of BTC38, served as Product Manager and Project Manager of Tencent, Vice President of Fantasy Basketball, and Chief Strategy Officer of Licai Box; Huang was involved in the investment on more than ten high-tech enterprises, such as Jidian Technology, Yixiang Network, Maoming Rural and Commercial Bank, Jujin Technology, Cointime, etc., and established the Bitcoin Time Digital Currency Exchange in May 2013.
Xi Zhang, CPO
Tsinghua MBA, former Senior Product Manager of Tencent. Xi Zhang has been engaged in Internet industry for 14 years with several entrepreneurial experiences. In 2008, he joined aibo123.com as Product Director, responsible for the product design and operation of Olympics lottery. In 2014, he stared his own business and founded QiuShang APP, the first prediction APP in China applying big data prediction with 8% return rate and 67% win rate. In 2016, as a partner, he joined the Haiqiu Technology founded by famous football player Sun Jihai, responsible for the Miaohai business unit. He was fully responsible for the products, technology, operations, and marketing of Miaohai sports short video APP. The total downloads of Miaohai APP were 6 million and daily active users were 1 million.
Richard Chen, CTO
Master of Computer Science from the National University of Singapore and Bachelor of Communication Engineering from Shanghai Jiao Tong University. Richard worked for Alibaba and was responsible for the internal and external information security system construction of the entire groups Customer Service Department. Prior to this, Richard also served as Senior Vice President for the worlds top investment bank Morgan Stanley for 3 years and Intel Chief Architect for 8 years. Richard has received four US patents and won Intel Achievement Award (IAA). Richard has published several global patents in encryption technology, distributed network communication and collaboration, and big data.
Xiang Li, CMO
MBA degree from Tsinghua University, former COO of Brightoil Online under Brightoil Petroleum (Holdings) Limited, senior manager of Dacheng Food (Asia) Limited, has over a decade of experience in marketing and brand building. Ms. Li is an expert in building brand strategy, brand positioning, advertising channels, event marketing, crisis management, etc. Now Ms. Li is the marketing director of WaykiChain, responsible for the brand operation of WaykiChain in the global market and marketing cooperation.
Getting Connected:
  1. Website: https://www.waykichain.com/aboutUs.html
  2. Telegram: https://t.me/wiccofficial

FAQ:

What is WICC? How to Buy WICC?
WICC is the token launched by WaykiChain. In order to buy WaykiChain (WICC), we recommend you to buy some BTC or ETH (the highest volume trading pairs) from an exchange that accepts them. Then, you will have to find a marketplace that sells WICC in exchange for the aforementioned cryptocurrencies. We recommend you to buy WICC at AEX or Huobi Exchange (AEX has already supported WICC mainnet migration, Huobi will support the migration in November, 2018). For more information on this matter, you can visit CoinMarketCap.
When it comes to storing your WICC coins, it’s recommended that you use the official WaykiChain wallet. By consuming the tokens, you can also use various applications on WaykiChain.
What is the use of WICC?
WICC is a token used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC lock plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. WICC has been listed on over 100 exchanges and trading with other cryptocurrencies for almost 1 year, thus WICC also has trade value.
What are WaykiChain’s advantages as a public chain 3.0?
There are three different types of blockchain: public chain, consortium chain, and private chain. Public chain refers to the consensual blockchain that any individual or team can read and send transactions to, and obtain valid confirmation. Public chain, also known as the non-license chain, is totally open to the whole network that any node can access or leave at any time without any permission. As a public chain of blockchain 3.0, WaykiChain has the advantages of high speed, high stability and flexibility, and low handling fee, providing rich development tools and perfect development environment for worldwide developers. Adopting DPoS consensus mechanism, sidechain technology and other technologies, WaykiChain can process 1000+ transaction requests per second. Relying on its strong strength of underlying technology and innovation, WaykiChain can effectively support high-traffic application scenarios and realize the landing of WaykiChain ecological applications.
What is WaykiChain decentralized betting application?
WaykiChain decentralized betting application is the first smart contract application launched by WaykiChain team. Each betting is triggered by the application developer via a smart contract. During the period specified in the contract, the users can initiate betting transaction, and all betting records can be traced on the blockchain browser and can never be tampered with. The smart contract will automatically reward the winners based on the final result. WaykiChain will use smart contract to automatically execute the game rule on its public chain. Instead of relying on trust between people, WaykiChain betting application adopts trust among machines to save credit costs, and guarantees full compliance with the rules setting. Besides WaykiChain Official, the developers of the decentralized applications can be any other third-parties. WaykiChain welcomes all developers to join.
What is WaykiChain Address?
WaykiChain address is a 34-bit string consisting of English letters and numbers that may look like digital gibberish. My WaykiChain address WXv6xP8yVW4PkZ3DPvxqfBtfz7Bof1RJHm, as an example, looks like this. All transfer records for each WaykiChain address can be found through the blockchain explorer. The address is a personal WaykiChain account like your bank account number. Anyone can transfer WICC to you via your WaykiChain address. How do I get my own WaykiChain address then? You can download a WaykiChain Wallet on WaykiChain official website, or register one on trading platforms. Each user’s WaykiChain address is unique. It should be noted that each WaykiChain wallet can only create one address, therefore the wallet mnemonics must be kept carefully.
What consensus mechanism does WaykiChain adopt?
WaykiChain adopts DPOS consensus mechanism, a new algorithm to guarantee the security of cryptocurrency network. DPOS consensus mechanism can offset the negative effects of centralization through implementing technology-based democracy, and maximize the effectiveness of the public chain through nodes accounting. DPOS can be understood as giving the token holders a key to open the voting rights corresponding to their tokens, instead of giving them a shovel to mine. DPOS can maximize the profitability of the token holders, minimize the cost of network security, maximize the efficiency of network, and minimize the cost of network operation. WaykiChain has 11 accounting nodes in total. The nodes are generated by the token holders’voting. If nodes are making trouble or cannot account normally, the token holders can change their votes, so that there will be other nodes to replace to ensure that the public chain can be operating normally.
What is WaykiChain mainnet migration?
WaykiChain (WICC) mainnet migration is the process of replacing the previous Ethereum-based token ERC20 TOKEN with WaykiChain mainnet token. WaykiChain public chain, through several months of testing and rigorous evaluation from the exchange platforms after its release, has been fully proven to operate efficiently and stably. Mainnet migration marks that WaykiChain public chain is actually putting into use. After the mainnet migration, various applications and developments based on WaykiChain can be launched, and the service period of WaykiChain public chain truly starts. The dividend mechanism, voting mechanism, gas consumption, and accounting fees on WaykiChain ecosystem are all completed by the mainnet token. The previous ERC20 tokens do not have these functions. By the end of June 26th, AEX Exchange, CEO Exchange, and Bying Wallet have supported WICC mainnet migration. There will be more exchanges and wallets supporting the migration in the future. Please follow WaykiChain’s Wechat official account for more details.
Are there any requirements or restrictions for developing projects on WaykiChain?
WaykiChain’s code is completely open. WaykiChain welcomes third parties worldwide to develop, carry and operate various application products on WaykiChain, and finally form a diversiform public chain community ecology. WaykiChain is happy to provide public chain technology support for any individuals or third parties. Applications developed and operated by third parties, based on WaykiChain public chain, need to comply with local laws and policies. Only after obtaining related licenses, permits or qualifications required by local laws and policies, developers and operators can launch and operate their applications on WaykiChain. Because of blockchain public chain’s globality, anonymity, open code, and the limitation of our ability, WaykiChain Official cannot judge the identity of third parties, nor have the ability and right to verify, supervise, control or interfere the third parties. Therefore, third parties should bear responsibility of their own actions.
What is WaykiChain Block Explorer?
WaykiChain Block Explorer is a system that displays all transaction information on WaykiChain and provides visualized track services. Technically, a block explorer works by scanning the block into the database server and then setting up a Web access service. Users only need to import the transaction hash to check whether the transaction has been packaged and confirmed. From the point of product, block explorer is more suitable to be called as asset explorer, which provides asset certification for users so that they don’t have to visually identify or manually analyze the transactions themselves. The block explorer also provides statistics of blocks and transactions, helping users to directly understand the activity of the blockchain. The statistics can also be translated into various indexes for investors to understand the project. To track the transactions, users can search relevant information on WaykiChain official website through WaykiChain wallet address, transaction hash or block height.

Further Reading

https://www.waykichain.com/question.html

Wish List for WaykiChain

Just thinking it would be great to create a post for everyone to post what they want to have for future releases of the Waykichain DApp or anything related to using Waykichain.
Welcome feedback from the community, so please do get in touch. Want to dive in further? Follow WaykiChain onTwitter, Medium and LinkedIn.
submitted by Waykichain to u/Waykichain [link] [comments]

Everything You Need to Know About WaykiChain

Everything You Need to Know About WaykiChain

https://preview.redd.it/uho8eww9npw11.png?width=880&format=png&auto=webp&s=960d1dc0f9afa9c17633a4fae2c43a41ace45260

What is WaykiChain?

WaykiChain is a block public chain focusing on blockchain technology development and related operations. WaykiChain has positioned itself as an infrastructure that is based on both Ethereum and Blockchain, intending to trigger a collective growth of different industries by presenting an enterprise solution.

Determined to build a world-class decentralized platform and ecosystem, WaykiChain launched the first smart-contract-based game prediction DApp in May 2018 with over 130,000 install volume, token WICC listed in 100+ exchanges, peaking at $3, community members over 300K, is believed to be innovating a new business model in the new era.
WaykiChain, a team focused on blockchain industry’s foundation and application development, now consisting of nearly 70 people, with core members from world-renowned companies such as Alibaba, Tencent, Morgan Stanley and Intel, is hoping to ultimately achieve an ecosystem that everyone can participate in the building and share the results.

Where is WaykiChain Heading?

The future of WaykiChain is a big community-driven public chain ecosystem. WaykiChain aims to build a decentralized application platform that can provide users with complete on-chain smart contract system. Anyone can realize their business ideas on WaykiChain and develop their own DApp, and build their own brands.
WaykiChain takes decentralized prediction, assets trading and forex trading as entry industries to expand markets in the early stage. After accumulating plenty of application users and developers, WaykiChain will gradually perfect its upper blockchain applications.
Currently, WaykiChain tech team is focusing on underlying public chain development. WaykiChain will provide friendly development environment to developers with sufficient development templates an interfaces. Besides, WaykiChain team plans to take a part of WICC as reward those developers who have made important contributions to the community. WaykiChain is committed to building an underlying technology platform that truly integrates blockchain application and real business. Along with its development, WaykiChain will gradually grow into a big ecosystem with totally decentralized operations, and brings the convenience of blockchain to every user.

Further Reading

White Paper
WaykiChain white paper is in update now, and will be available soon.
Huobi Project Center
https://www.huobi.br.com/projectcenteproject/?id=91&utm_source=Marketing&utm_medium=Referral&utm_campaign=WICC
Waykichain Developer-Friendly Community
http://www.waykichain.com/announcement.html?id=887

WaykiChain’s Technology

Consensus Mechanism
Delegated Proof of Stake (DPoS) is a consensus algorithm maintaining irrefutable agreement on the truth across the network, validating transactions and acting as a form of digital democracy. Delegated through token holders’ vote, ledgers nodes will package all the transactions in the block and get corresponding reward. DPOS can maximize token holders’ interests and network performance, meanwhile minimize the maintenance and operation costs.
WaykiChain adopts DPoS, which is the most adaptive consensus mechanism for developing and operating applications on chain. The block is successively generated by 11 ledger nodes. Every 10 seconds, a new block will be generated on WaykiChain. Verified by WaykiChain mainnet operation, the transaction confirmation speed can reach 1000+tps.
Vote Mechanism
WaykiChain adopts DPOS consensus mechanism with 11 ledger nodes. When a block is generated, a node is elected with the most votes according to random perturbation algorithm from the 11 nodes. Then ledger node gains all of the transaction fee in its ledger block. Users can get proportionate votes by locking their WICC. Every node can be cast for 11 candidates at most. Every voted user will be awarded proportionate interest. When users’ corresponding accounts’ votes changes, the interest from voting will be received automatically. The first year’s rate of interest is 5% and it will decrease 1% annually during the following years. Finally, the annual rate of interest will be fixed at 1% permanently.
Smart Contracts
WaykiChain is a smart contract platform that supports Turing devices. These smart contracts can help in a variety of real-world applications including copyright issues, decentralized exchanges and asset problems. It adopts DPOS consensus mechanism, sets up 11 voting nodes, and generates a new block every 10 seconds. According to detailed calculation by WaykiChain team, currently, the confirmed transaction speed can reach 1000+tps.
WaykiChain’s smart contract can be built using the programming language Lua. Lua was developed in the early 1990s and has an extensive developer community. It has been used in desktop development, web development and the Internet of Things. It also is one of the easiest programming languages and hence it provides an incentive for developers to code on WaykiChain’s platform.
Sidechain
The most popular smart contract cryptocurrency Ethereum, failed when Cryptokitties were released. Ethereum’s network was unable to handle the massive influx of users. Thus, scalability remains a huge problem. Fortunately, WaykiChain has a feature known as sidechains which can deal with huge amount of users. Applications built on WaykiChains will have their own sidechains and they are not linked in any way to each other.
WaykiChain Ecosystem Development System
WaykiChain ecosystem development system is driven and co-developed by three parties: WaykiChain core developers, open source community developers and business developers. In the decentralized system, WaykiChain team will provide technical standards and community contribution incentives to ensure that the entire ecosystem moves forward as a whole. On the basis of the underlying public chain, plug-ins, and smart contracts, business developers are able to develop applications efficiently and build their own brands with blockchain’s credit endorsement.
WaykiChain plans to establish Technology Research Academy to gather a group of outstanding developers with decentralized blockchain beliefs. WaykiChain will provide underlying technology support and standards. Developers in the academy can free communicate, learn from each other and co-develop a fully decentralized community.
Ecosystem Layered Architecture
WaykiChain technology stack consists of four layers: the core node layer, the wallet node layer, the application platform layer, and the DApp application layer. Any developer can choose which layer to start development based on their own development capability, business needs, and application flexibility needs. WaykiChain core technology team is committed to providing the develop-friendly interfaces of each layer and improving the technical documentation to help the community better build the ecosystem.

Further Reading

WaykiChain Github: https://github.com/WaykiChain/WaykiChain
How Does WaykiChain Work?
WaykiChain uses a DPoS consensus mechanism with eleven accounting nodes. The annual rate of return is 5% for the first year, with a 1% increase with every year that goes by. Each time a block is created, an accounting node is randomly associated. The accounting node gains all of the transaction fees in its accounting block. Users can earn interest by locking WaykiChain coins. The interest is automatically determined each time the votes for the corresponding user account change.
The terms of betting are triggered by the initiator through smart contract transactions. Users can initiate various betting contract transactions, all of which can be searched and identified in the block browsers. When the betting is over, the bet initiation will publish the final results and the gaining will be then shared accordingly. In short, the betting revenue is automatically issued to the user’s wallet after the betting results are displayed.
The smart contract provided by the platform makes it possible for asset initiations to create dividend sharing rules. These rules are only triggered by various conditions. Hence, the final price of the assets in circulation will be determined by the market’s behavior towards the object in the transaction.

WaykiChain Applications

Token System
Waykichain Token, WICC is a token only used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC Lock Revenue Sharing Plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. This means WICC will be listed on lots of exchanges and traded with other cryptocurrencies, thus WICC also has trade value.
WaykiChain Block Explorer
WaykiChain official block explorer is a data display system for WaykiChian applications, which displays the WICC transfer and transaction records, account balances, prediction games transactions, and payout results according to application data on the blockchain. All data is open and transparent and inherently irreversible.
WICC Lock & Revenue Sharing Plan
In order to reward all community supporters and provide a channel for application operators to make retribution to community, WaykiChain launched WICC Lock & Revenue Sharing Plan. Application operators can provide a portion of the proceeds to the community members to encourage their contribution to the entire public chain, and to motivate the community to continuously improve the public chain as a more robust underlying system. Investors can lock their own WICC, as a way of showing long-term optimism about the project, to get a certain amount of revenue.
Investors can lock a certain number of mainnet WICC through the entrance in WaykiChain DApp. During the lock period, this part of WICC cannot be traded, transferred, or consumed as transaction fee. When the lock period expired, WICC will be automatically unlocked and become tradable. During the lock period, investors will receive WICC revenue at the end of each month. The amount of each investor’s WICC revenue is related to his/her WICC lock volume and duration, total WICC revenue generated during the period, and the total WICC lock volume and duration of all investors participating in the lock plan during this period. Specific calculating formula is as follows:
WICC Lock revenue Calculation Formula:
Each investor’s daily WICC revenue = Each investor’s lock index / The sum of each investor’s lock index * Total WICC revenue that day
Each investor’s lock index = Each investor’s WICC lock volume * Time index * Volume index
Time Index Table
Decentralized App
The first smart contract based application delivered by WaykiChain’s team is the WaykiChain decentralized betting application. In this application, the smart contract will assign a time duration in which the user can engage in the betting process. All the conditions related to betting will be given. When a bet is finished, the contract will release the results. The smart contract will then reward the winners.
This DApp was launched in May 2018, attracting over 130,000 users to download and bet and has been upgraded to V2.1 ever since. The latest product WaykiBet DApp V2.5 is planned to launch in November along with a new WaykiChain wallet.
WaykiBet V2.5 enables a new feature that everyone can be a bookmaker. With the authoritative event data and services provided by WaykiChain DApp, user even without any technical or product background can build a bet in simply one-click. And at the end of the game, WaykiBet will automatically call the smart contract to calculate the bet results and deliver payouts, without any manual participation.
Besides, WaykiBet V2.5 has exempted the betting fee through the structure optimization and allows the player to participate in the betting directly after creating a new wallet without activation to ensure users outside of the cryptocurrency industry can be involved in the easiest manner.
WaykiTimes Wallet
The new WaykiChain wallet, named as WaykiTimes will retain the original wallet functions, such as Lock Revenue Sharing and node voting. The newly added “Forum” gathers the community of WaykiChain and blockchain together, will become an ecology of open communication. Meanwhile it will has a “News” section to meet different users’ needs. In the future, WaykiTimes will implement WaykiChain token economy to encourage the community members.
Getting Setup
Download WaykiBet DApp V.2.5 at official website: https://www.waykichain.com/

Meet the Team

WaykiChain team is comprised out of over 60 individuals with relevant experience in marketing, business, betting, lottery, betting and crypto industries.
Wayki Sun, Founder & CSO
One of the earliest digital currency investors and entrepreneurs in China. The founder of Xinhuo Network, the founder of Ou Lu Zhong Chou and the Managing Director of Jufeng Digital Asset Management Co., Ltd. Sun led an investment team of hundreds of people with great achievements made in stock, foreign exchange, futures and digital currency markets.
Gordon Gao, CEO
Gordon Gao, an alumni of Columbia University, ex-Lead Data Scientist of Fishbowl in Wall Street, ex-Senior Data Analyst of Alibaba Group, senior member of Mensa International Club. He is responsible for offering support to WaykiChain’s commercial model designing and strategy planning, building up a digitalized monitor system for products and operation and promoting WaykiChain overseas with his international background.
Tony Chau, Co-founder & CBO
Bachelor’s Degree in Finance from the University of Toronto in Canada and served in Hongshang Asset Management Co., Ltd. Focused on industrial surveys and commercial analysis, with in-depth research and distinctive perception on business operation models, and professional financial knowledge and complete project experience.
Tame Huang, Chief Consultant
The founder of BTC38, served as Product Manager and Project Manager of Tencent, Vice President of Fantasy Basketball, and Chief Strategy Officer of Licai Box; Huang was involved in the investment on more than ten high-tech enterprises, such as Jidian Technology, Yixiang Network, Maoming Rural and Commercial Bank, Jujin Technology, Cointime, etc., and established the Bitcoin Time Digital Currency Exchange in May 2013.
Xi Zhang, CPO
Tsinghua MBA, former Senior Product Manager of Tencent. Xi Zhang has been engaged in Internet industry for 14 years with several entrepreneurial experiences. In 2008, he joined aibo123.com as Product Director, responsible for the product design and operation of Olympics lottery. In 2014, he stared his own business and founded QiuShang APP, the first prediction APP in China applying big data prediction with 8% return rate and 67% win rate. In 2016, as a partner, he joined the Haiqiu Technology founded by famous football player Sun Jihai, responsible for the Miaohai business unit. He was fully responsible for the products, technology, operations, and marketing of Miaohai sports short video APP. The total downloads of Miaohai APP were 6 million and daily active users were 1 million.
Richard Chen, CTO
Master of Computer Science from the National University of Singapore and Bachelor of Communication Engineering from Shanghai Jiao Tong University. Richard worked for Alibaba and was responsible for the internal and external information security system construction of the entire groups Customer Service Department. Prior to this, Richard also served as Senior Vice President for the worlds top investment bank Morgan Stanley for 3 years and Intel Chief Architect for 8 years. Richard has received four US patents and won Intel Achievement Award (IAA). Richard has published several global patents in encryption technology, distributed network communication and collaboration, and big data.
Xiang Li, CMO
MBA degree from Tsinghua University, former COO of Brightoil Online under Brightoil Petroleum (Holdings) Limited, senior manager of Dacheng Food (Asia) Limited, has over a decade of experience in marketing and brand building. Ms. Li is an expert in building brand strategy, brand positioning, advertising channels, event marketing, crisis management, etc. Now Ms. Li is the marketing director of WaykiChain, responsible for the brand operation of WaykiChain in the global market and marketing cooperation.
Getting Connected:
  1. Website: https://www.waykichain.com/aboutUs.html
  2. Telegram: https://t.me/wiccofficial

FAQ:

What is WICC? How to Buy WICC?
WICC is the token launched by WaykiChain. In order to buy WaykiChain (WICC), we recommend you to buy some BTC or ETH (the highest volume trading pairs) from an exchange that accepts them. Then, you will have to find a marketplace that sells WICC in exchange for the aforementioned cryptocurrencies. We recommend you to buy WICC at AEX or Huobi Exchange (AEX has already supported WICC mainnet migration, Huobi will support the migration in November, 2018). For more information on this matter, you can visit CoinMarketCap.
When it comes to storing your WICC coins, it’s recommended that you use the official WaykiChain wallet. By consuming the tokens, you can also use various applications on WaykiChain.
What is the use of WICC?
WICC is a token used and circulated in WaykiChain Wallet DApp. WICC itself does not have any FIAT characteristics. By consuming WICC as a kind of fuel, users can use applications on WaykiChain; by locking their WICC for a certain period of time, users can share the revenue from WICC lock plan; and by voting for effective and stable accounting nodes, users can earn related interest. WICC can be obtained by participating in the lock plan, by accounting, voting, and subscription, or by trading with other holders. WICC has been listed on over 100 exchanges and trading with other cryptocurrencies for almost 1 year, thus WICC also has trade value.
What are WaykiChain’s advantages as a public chain 3.0?
There are three different types of blockchain: public chain, consortium chain, and private chain. Public chain refers to the consensual blockchain that any individual or team can read and send transactions to, and obtain valid confirmation. Public chain, also known as the non-license chain, is totally open to the whole network that any node can access or leave at any time without any permission. As a public chain of blockchain 3.0, WaykiChain has the advantages of high speed, high stability and flexibility, and low handling fee, providing rich development tools and perfect development environment for worldwide developers. Adopting DPoS consensus mechanism, sidechain technology and other technologies, WaykiChain can process 1000+ transaction requests per second. Relying on its strong strength of underlying technology and innovation, WaykiChain can effectively support high-traffic application scenarios and realize the landing of WaykiChain ecological applications.
What is WaykiChain decentralized betting application?
WaykiChain decentralized betting application is the first smart contract application launched by WaykiChain team. Each betting is triggered by the application developer via a smart contract. During the period specified in the contract, the users can initiate betting transaction, and all betting records can be traced on the blockchain browser and can never be tampered with. The smart contract will automatically reward the winners based on the final result. WaykiChain will use smart contract to automatically execute the game rule on its public chain. Instead of relying on trust between people, WaykiChain betting application adopts trust among machines to save credit costs, and guarantees full compliance with the rules setting. Besides WaykiChain Official, the developers of the decentralized applications can be any other third-parties. WaykiChain welcomes all developers to join.
What is WaykiChain Address?
WaykiChain address is a 34-bit string consisting of English letters and numbers that may look like digital gibberish. My WaykiChain address WXv6xP8yVW4PkZ3DPvxqfBtfz7Bof1RJHm, as an example, looks like this. All transfer records for each WaykiChain address can be found through the blockchain explorer. The address is a personal WaykiChain account like your bank account number. Anyone can transfer WICC to you via your WaykiChain address. How do I get my own WaykiChain address then? You can download a WaykiChain Wallet on WaykiChain official website, or register one on trading platforms. Each user’s WaykiChain address is unique. It should be noted that each WaykiChain wallet can only create one address, therefore the wallet mnemonics must be kept carefully.
What consensus mechanism does WaykiChain adopt?
WaykiChain adopts DPOS consensus mechanism, a new algorithm to guarantee the security of cryptocurrency network. DPOS consensus mechanism can offset the negative effects of centralization through implementing technology-based democracy, and maximize the effectiveness of the public chain through nodes accounting. DPOS can be understood as giving the token holders a key to open the voting rights corresponding to their tokens, instead of giving them a shovel to mine. DPOS can maximize the profitability of the token holders, minimize the cost of network security, maximize the efficiency of network, and minimize the cost of network operation. WaykiChain has 11 accounting nodes in total. The nodes are generated by the token holders’voting. If nodes are making trouble or cannot account normally, the token holders can change their votes, so that there will be other nodes to replace to ensure that the public chain can be operating normally.
What is WaykiChain mainnet migration?
WaykiChain (WICC) mainnet migration is the process of replacing the previous Ethereum-based token ERC20 TOKEN with WaykiChain mainnet token. WaykiChain public chain, through several months of testing and rigorous evaluation from the exchange platforms after its release, has been fully proven to operate efficiently and stably. Mainnet migration marks that WaykiChain public chain is actually putting into use. After the mainnet migration, various applications and developments based on WaykiChain can be launched, and the service period of WaykiChain public chain truly starts. The dividend mechanism, voting mechanism, gas consumption, and accounting fees on WaykiChain ecosystem are all completed by the mainnet token. The previous ERC20 tokens do not have these functions. By the end of June 26th, AEX Exchange, CEO Exchange, and Bying Wallet have supported WICC mainnet migration. There will be more exchanges and wallets supporting the migration in the future. Please follow WaykiChain’s Wechat official account for more details.
Are there any requirements or restrictions for developing projects on WaykiChain?
WaykiChain’s code is completely open. WaykiChain welcomes third parties worldwide to develop, carry and operate various application products on WaykiChain, and finally form a diversiform public chain community ecology. WaykiChain is happy to provide public chain technology support for any individuals or third parties. Applications developed and operated by third parties, based on WaykiChain public chain, need to comply with local laws and policies. Only after obtaining related licenses, permits or qualifications required by local laws and policies, developers and operators can launch and operate their applications on WaykiChain. Because of blockchain public chain’s globality, anonymity, open code, and the limitation of our ability, WaykiChain Official cannot judge the identity of third parties, nor have the ability and right to verify, supervise, control or interfere the third parties. Therefore, third parties should bear responsibility of their own actions.
What is WaykiChain Block Explorer?
WaykiChain Block Explorer is a system that displays all transaction information on WaykiChain and provides visualized track services. Technically, a block explorer works by scanning the block into the database server and then setting up a Web access service. Users only need to import the transaction hash to check whether the transaction has been packaged and confirmed. From the point of product, block explorer is more suitable to be called as asset explorer, which provides asset certification for users so that they don’t have to visually identify or manually analyze the transactions themselves. The block explorer also provides statistics of blocks and transactions, helping users to directly understand the activity of the blockchain. The statistics can also be translated into various indexes for investors to understand the project. To track the transactions, users can search relevant information on WaykiChain official website through WaykiChain wallet address, transaction hash or block height.

Further Reading

https://www.waykichain.com/question.html

Wish List for WaykiChain

Just thinking it would be great to create a post for everyone to post what they want to have for future releases of the Waykichain DApp or anything related to using Waykichain.
Welcome feedback from the community, so please do get in touch. Want to dive in further? Follow WaykiChain on Telegram, Twitter, Medium and LinkedIn.
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100% automated – it trades for you
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Web based, no need for downloads, also works on phones, tablets
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100% foolproof success cannot be guaranteed, but over 80% of people have success with this *Must have computer or internet access *Must have about an hour a day.
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I have personally tested Guaranteed Wealth and found the success rate is about 70%. I don’t know about you, but a 70% chance of making a profitable trade is VERY GOOD! I’ve never come across anything like this before. Keep reading, below are my results for the past week or so…
Few of the benefits of using Guaranteed Wealth:-
Trade on Multiple Platforms at Once
Get Free Financial Data Feeds that can typically cost $540+ per month
Fully Customizable Alert Parameters for Increased Trading Capacity
Guaranteed Wealth System Review's and Features:-
The Guaranteed Wealth System software works together with various binary options platforms. Installing it on your computer will allow you to Trade on multiple trading platforms at the same time:-
Have access to free data feed
Customize various alert parameters
Get trade alerts instantly
Win more often compared with using other software
Win more than 90% of the time
Guaranteed Wealth System Pros:-
This system has a lot to offer, here are some of its main benefits:
100% automated – it trades for you
Fully functional 30-day trial period with no credit card needed
Can turn $500 into $2271 in few days
No previous experience with binary options trading needed
Web based, no need for downloads, also works on phones, tablets
Guaranteed Wealth Software Cons:-
100% foolproof success cannot be guaranteed, but over 80% of people have success with this *Must have computer or internet access *Must have about an hour a day.
Conclusion:- Many customers who have tried using the Guaranteed Wealth have reported 85% to 92% success rate. As it has been developed to help people trade regardless of knowledge and experience, eventually, users will learn how to accurately predict trends in the market within a specific time period. Guaranteed Wealth is recommended! If you buy this product and start implementing what teaches you I have no doubts that you’ll make money. Guaranteed Wealth works and it’s not a scam. This is what works for me. Overall, it is well worth its price. Highly recommended! You won’t regret it! ?
submitted by GuarantWealth to GUARANTWEALTHREV [link] [comments]

Subreddit Stats: cs7646_fall2017 top posts from 2017-08-23 to 2017-12-10 22:43 PDT

Period: 108.98 days
Submissions Comments
Total 999 10425
Rate (per day) 9.17 95.73
Unique Redditors 361 695
Combined Score 4162 17424

Top Submitters' Top Submissions

  1. 296 points, 24 submissions: tuckerbalch
    1. Project 2 Megathread (optimize_something) (33 points, 475 comments)
    2. project 3 megathread (assess_learners) (27 points, 1130 comments)
    3. For online students: Participation check #2 (23 points, 47 comments)
    4. ML / Data Scientist internship and full time job opportunities (20 points, 36 comments)
    5. Advance information on Project 3 (19 points, 22 comments)
    6. participation check #3 (19 points, 29 comments)
    7. manual_strategy project megathread (17 points, 825 comments)
    8. project 4 megathread (defeat_learners) (15 points, 209 comments)
    9. project 5 megathread (marketsim) (15 points, 484 comments)
    10. QLearning Robot project megathread (12 points, 691 comments)
  2. 278 points, 17 submissions: davebyrd
    1. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes (37 points, 10 comments)
    2. Project 1 Megathread (assess_portfolio) (34 points, 466 comments)
    3. marketsim grades are up (25 points, 28 comments)
    4. Midterm stats (24 points, 32 comments)
    5. Welcome to CS 7646 MLT! (23 points, 132 comments)
    6. How to interact with TAs, discuss grades, performance, request exceptions... (18 points, 31 comments)
    7. assess_portfolio grades have been released (18 points, 34 comments)
    8. Midterm grades posted to T-Square (15 points, 30 comments)
    9. Removed posts (15 points, 2 comments)
    10. assess_portfolio IMPORTANT README: about sample frequency (13 points, 26 comments)
  3. 118 points, 17 submissions: yokh_cs7646
    1. Exam 2 Information (39 points, 40 comments)
    2. Reformat Assignment Pages? (14 points, 2 comments)
    3. What did the real-life Michael Burry have to say? (13 points, 2 comments)
    4. PSA: Read the Rubric carefully and ahead-of-time (8 points, 15 comments)
    5. How do I know that I'm correct and not just lucky? (7 points, 31 comments)
    6. ML Papers and News (7 points, 5 comments)
    7. What are "question pools"? (6 points, 4 comments)
    8. Explanation of "Regression" (5 points, 5 comments)
    9. GT Github taking FOREVER to push to..? (4 points, 14 comments)
    10. Dead links on the course wiki (3 points, 2 comments)
  4. 67 points, 13 submissions: harshsikka123
    1. To all those struggling, some words of courage! (20 points, 18 comments)
    2. Just got locked out of my apartment, am submitting from a stairwell (19 points, 12 comments)
    3. Thoroughly enjoying the lectures, some of the best I've seen! (13 points, 13 comments)
    4. Just for reference, how long did Assignment 1 take you all to implement? (3 points, 31 comments)
    5. Grade_Learners Taking about 7 seconds on Buffet vs 5 on Local, is this acceptable if all tests are passing? (2 points, 2 comments)
    6. Is anyone running into the Runtime Error, Invalid DISPLAY variable when trying to save the figures as pdfs to the Buffet servers? (2 points, 9 comments)
    7. Still not seeing an ML4T onboarding test on ProctorTrack (2 points, 10 comments)
    8. Any news on when Optimize_Something grades will be released? (1 point, 1 comment)
    9. Baglearner RMSE and leaf size? (1 point, 2 comments)
    10. My results are oh so slightly off, any thoughts? (1 point, 11 comments)
  5. 63 points, 10 submissions: htrajan
    1. Sample test case: missing data (22 points, 36 comments)
    2. Optimize_something test cases (13 points, 22 comments)
    3. Met Burt Malkiel today (6 points, 1 comment)
    4. Heads up: Dataframe.std != np.std (5 points, 5 comments)
    5. optimize_something: graph (5 points, 29 comments)
    6. Schedule still reflecting shortened summer timeframe? (4 points, 3 comments)
    7. Quick clarification about InsaneLearner (3 points, 8 comments)
    8. Test cases using rfr? (3 points, 5 comments)
    9. Input format of rfr (2 points, 1 comment)
    10. [Shameless recruiting post] Wealthfront is hiring! (0 points, 9 comments)
  6. 62 points, 7 submissions: swamijay
    1. defeat_learner test case (34 points, 38 comments)
    2. Project 3 test cases (15 points, 27 comments)
    3. Defeat_Learner - related questions (6 points, 9 comments)
    4. Options risk/reward (2 points, 0 comments)
    5. manual strategy - you must remain in the position for 21 trading days. (2 points, 9 comments)
    6. standardizing values (2 points, 0 comments)
    7. technical indicators - period for moving averages, or anything that looks past n days (1 point, 3 comments)
  7. 61 points, 9 submissions: gatech-raleighite
    1. Protip: Better reddit search (22 points, 9 comments)
    2. Helpful numpy array cheat sheet (16 points, 10 comments)
    3. In your experience Professor, Mr. Byrd, which strategy is "best" for trading ? (12 points, 10 comments)
    4. Industrial strength or mature versions of the assignments ? (4 points, 2 comments)
    5. What is the correct (faster) way of doing this bit of pandas code (updating multiple slice values) (2 points, 10 comments)
    6. What is the correct (pythonesque?) way to select 60% of rows ? (2 points, 11 comments)
    7. How to get adjusted close price for funds not publicly traded (TSP) ? (1 point, 2 comments)
    8. Is there a way to only test one or 2 of the learners using grade_learners.py ? (1 point, 10 comments)
    9. OMS CS Digital Career Seminar Series - Scott Leitstein recording available online? (1 point, 4 comments)
  8. 60 points, 2 submissions: reyallan
    1. [Project Questions] Unit Tests for assess_portfolio assignment (58 points, 52 comments)
    2. Financial data, technical indicators and live trading (2 points, 8 comments)
  9. 59 points, 12 submissions: dyllll
    1. Please upvote helpful posts and other advice. (26 points, 1 comment)
    2. Books to further study in trading with machine learning? (14 points, 9 comments)
    3. Is Q-Learning the best reinforcement learning method for stock trading? (4 points, 4 comments)
    4. Any way to download the lessons? (3 points, 4 comments)
    5. Can a TA please contact me? (2 points, 7 comments)
    6. Is the vectorization code from the youtube video available to us? (2 points, 2 comments)
    7. Position of webcam (2 points, 15 comments)
    8. Question about assignment one (2 points, 5 comments)
    9. Are udacity quizzes recorded? (1 point, 2 comments)
    10. Does normalization of indicators matter in a Q-Learner? (1 point, 7 comments)
  10. 56 points, 2 submissions: jan-laszlo
    1. Proper git workflow (43 points, 19 comments)
    2. Adding you SSH key for password-less access to remote hosts (13 points, 7 comments)
  11. 53 points, 1 submission: agifft3_omscs
    1. [Project Questions] Unit Tests for optimize_something assignment (53 points, 94 comments)
  12. 50 points, 16 submissions: BNielson
    1. Regression Trees (7 points, 9 comments)
    2. Two Interpretations of RFR are leading to two different possible Sharpe Ratios -- Need Instructor clarification ASAP (5 points, 3 comments)
    3. PYTHONPATH=../:. python grade_analysis.py (4 points, 7 comments)
    4. Running on Windows and PyCharm (4 points, 4 comments)
    5. Studying for the midterm: python questions (4 points, 0 comments)
    6. Assess Learners Grader (3 points, 2 comments)
    7. Manual Strategy Grade (3 points, 2 comments)
    8. Rewards in Q Learning (3 points, 3 comments)
    9. SSH/Putty on Windows (3 points, 4 comments)
    10. Slight contradiction on ProctorTrack Exam (3 points, 4 comments)
  13. 49 points, 7 submissions: j0shj0nes
    1. QLearning Robot - Finalized and Released Soon? (18 points, 4 comments)
    2. Flash Boys, HFT, frontrunning... (10 points, 3 comments)
    3. Deprecations / errata (7 points, 5 comments)
    4. Udacity lectures via GT account, versus personal account (6 points, 2 comments)
    5. Python: console-driven development (5 points, 5 comments)
    6. Buffet pandas / numpy versions (2 points, 2 comments)
    7. Quant research on earnings calls (1 point, 0 comments)
  14. 45 points, 11 submissions: Zapurza
    1. Suggestion for Strategy learner mega thread. (14 points, 1 comment)
    2. Which lectures to watch for upcoming project q learning robot? (7 points, 5 comments)
    3. In schedule file, there is no link against 'voting ensemble strategy'? Scheduled for Nov 13-20 week (6 points, 3 comments)
    4. How to add questions to the question bank? I can see there is 2% credit for that. (4 points, 5 comments)
    5. Scratch paper use (3 points, 6 comments)
    6. The big short movie link on you tube says the video is not available in your country. (3 points, 9 comments)
    7. Distance between training data date and future forecast date (2 points, 2 comments)
    8. News affecting stock market and machine learning algorithms (2 points, 4 comments)
    9. pandas import in pydev (2 points, 0 comments)
    10. Assess learner server error (1 point, 2 comments)
  15. 43 points, 23 submissions: chvbs2000
    1. Is the Strategy Learner finalized? (10 points, 3 comments)
    2. Test extra 15 test cases for marketsim (3 points, 12 comments)
    3. Confusion between the term computing "back-in time" and "going forward" (2 points, 1 comment)
    4. How to define "each transaction"? (2 points, 4 comments)
    5. How to filling the assignment into Jupyter Notebook? (2 points, 4 comments)
    6. IOError: File ../data/SPY.csv does not exist (2 points, 4 comments)
    7. Issue in Access to machines at Georgia Tech via MacOS terminal (2 points, 5 comments)
    8. Reading data from Jupyter Notebook (2 points, 3 comments)
    9. benchmark vs manual strategy vs best possible strategy (2 points, 2 comments)
    10. global name 'pd' is not defined (2 points, 4 comments)
  16. 43 points, 15 submissions: shuang379
    1. How to test my code on buffet machine? (10 points, 15 comments)
    2. Can we get the ppt for "Decision Trees"? (8 points, 2 comments)
    3. python question pool question (5 points, 6 comments)
    4. set up problems (3 points, 4 comments)
    5. Do I need another camera for scanning? (2 points, 9 comments)
    6. Is chapter 9 covered by the midterm? (2 points, 2 comments)
    7. Why grade_analysis.py could run even if I rm analysis.py? (2 points, 5 comments)
    8. python question pool No.48 (2 points, 6 comments)
    9. where could we find old versions of the rest projects? (2 points, 2 comments)
    10. where to put ml4t-libraries to install those libraries? (2 points, 1 comment)
  17. 42 points, 14 submissions: larrva
    1. is there a mistake in How-to-learn-a-decision-tree.pdf (7 points, 7 comments)
    2. maximum recursion depth problem (6 points, 10 comments)
    3. [Urgent]Unable to use proctortrack in China (4 points, 21 comments)
    4. manual_strategynumber of indicators to use (3 points, 10 comments)
    5. Assignment 2: Got 63 points. (3 points, 3 comments)
    6. Software installation workshop (3 points, 7 comments)
    7. question regarding functools32 version (3 points, 3 comments)
    8. workshop on Aug 31 (3 points, 8 comments)
    9. Mount remote server to local machine (2 points, 2 comments)
    10. any suggestion on objective function (2 points, 3 comments)
  18. 41 points, 8 submissions: Ran__Ran
    1. Any resource will be available for final exam? (19 points, 6 comments)
    2. Need clarification on size of X, Y in defeat_learners (7 points, 10 comments)
    3. Get the same date format as in example chart (4 points, 3 comments)
    4. Cannot log in GitHub Desktop using GT account? (3 points, 3 comments)
    5. Do we have notes or ppt for Time Series Data? (3 points, 5 comments)
    6. Can we know the commission & market impact for short example? (2 points, 7 comments)
    7. Course schedule export issue (2 points, 15 comments)
    8. Buying/seeking beta v.s. buying/seeking alpha (1 point, 6 comments)
  19. 38 points, 4 submissions: ProudRamblinWreck
    1. Exam 2 Study topics (21 points, 5 comments)
    2. Reddit participation as part of grade? (13 points, 32 comments)
    3. Will birds chirping in the background flag me on Proctortrack? (3 points, 5 comments)
    4. Midterm Study Guide question pools (1 point, 2 comments)
  20. 37 points, 6 submissions: gatechben
    1. Submission page for strategy learner? (14 points, 10 comments)
    2. PSA: The grading script for strategy_learner changed on the 26th (10 points, 9 comments)
    3. Where is util.py supposed to be located? (8 points, 8 comments)
    4. PSA:. The default dates in the assignment 1 template are not the same as the examples on the assignment page. (2 points, 1 comment)
    5. Schedule: Discussion of upcoming trading projects? (2 points, 3 comments)
    6. [defeat_learners] More than one column for X? (1 point, 1 comment)
  21. 37 points, 3 submissions: jgeiger
    1. Please send/announce when changes are made to the project code (23 points, 7 comments)
    2. The Big Short on Netflix for OMSCS students (week of 10/16) (11 points, 6 comments)
    3. Typo(?) for Assess_portfolio wiki page (3 points, 2 comments)
  22. 35 points, 10 submissions: ltian35
    1. selecting row using .ix (8 points, 9 comments)
    2. Will the following 2 topics be included in the final exam(online student)? (7 points, 4 comments)
    3. udacity quiz (7 points, 4 comments)
    4. pdf of lecture (3 points, 4 comments)
    5. print friendly version of the course schedule (3 points, 9 comments)
    6. about learner regression vs classificaiton (2 points, 2 comments)
    7. is there a simple way to verify the correctness of our decision tree (2 points, 4 comments)
    8. about Building an ML-based forex strategy (1 point, 2 comments)
    9. about technical analysis (1 point, 6 comments)
    10. final exam online time period (1 point, 2 comments)
  23. 33 points, 2 submissions: bhrolenok
    1. Assess learners template and grading script is now available in the public repository (24 points, 0 comments)
    2. Tutorial for software setup on Windows (9 points, 35 comments)
  24. 31 points, 4 submissions: johannes_92
    1. Deadline extension? (26 points, 40 comments)
    2. Pandas date indexing issues (2 points, 5 comments)
    3. Why do we subtract 1 from SMA calculation? (2 points, 3 comments)
    4. Unexpected number of calls to query, sum=20 (should be 20), max=20 (should be 1), min=20 (should be 1) -bash: syntax error near unexpected token `(' (1 point, 3 comments)
  25. 30 points, 5 submissions: log_base_pi
    1. The Massive Hedge Fund Betting on AI [Article] (9 points, 1 comment)
    2. Useful Python tips and tricks (8 points, 10 comments)
    3. Video of overview of remaining projects with Tucker Balch (7 points, 1 comment)
    4. Will any material from the lecture by Goldman Sachs be covered on the exam? (5 points, 1 comment)
    5. What will the 2nd half of the course be like? (1 point, 8 comments)
  26. 30 points, 4 submissions: acschwabe
    1. Assignment and Exam Calendar (ICS File) (17 points, 6 comments)
    2. Please OMG give us any options for extra credit (8 points, 12 comments)
    3. Strategy learner question (3 points, 1 comment)
    4. Proctortrack: Do we need to schedule our test time? (2 points, 10 comments)
  27. 29 points, 9 submissions: _ant0n_
    1. Next assignment? (9 points, 6 comments)
    2. Proctortrack Onboarding test? (6 points, 11 comments)
    3. Manual strategy: Allowable positions (3 points, 7 comments)
    4. Anyone watched Black Scholes documentary? (2 points, 16 comments)
    5. Buffet machines hardware (2 points, 6 comments)
    6. Defeat learners: clarification (2 points, 4 comments)
    7. Is 'optimize_something' on the way to class GitHub repo? (2 points, 6 comments)
    8. assess_portfolio(... gen_plot=True) (2 points, 8 comments)
    9. remote job != remote + international? (1 point, 15 comments)
  28. 26 points, 10 submissions: umersaalis
    1. comments.txt (7 points, 6 comments)
    2. Assignment 2: report.pdf (6 points, 30 comments)
    3. Assignment 2: report.pdf sharing & plagiarism (3 points, 12 comments)
    4. Max Recursion Limit (3 points, 10 comments)
    5. Parametric vs Non-Parametric Model (3 points, 13 comments)
    6. Bag Learner Training (1 point, 2 comments)
    7. Decision Tree Issue: (1 point, 2 comments)
    8. Error in Running DTLearner and RTLearner (1 point, 12 comments)
    9. My Results for the four learners. Please check if you guys are getting values somewhat near to these. Exact match may not be there due to randomization. (1 point, 4 comments)
    10. Can we add the assignments and solutions to our public github profile? (0 points, 7 comments)
  29. 26 points, 6 submissions: abiele
    1. Recommended Reading? (13 points, 1 comment)
    2. Number of Indicators Used by Actual Trading Systems (7 points, 6 comments)
    3. Software Install Instructions From TA's Video Not Working (2 points, 2 comments)
    4. Suggest that TA/Instructor Contact Info Should be Added to the Syllabus (2 points, 2 comments)
    5. ML4T Software Setup (1 point, 3 comments)
    6. Where can I find the grading folder? (1 point, 4 comments)
  30. 26 points, 6 submissions: tomatonight
    1. Do we have all the information needed to finish the last project Strategy learner? (15 points, 3 comments)
    2. Does anyone interested in cryptocurrency trading/investing/others? (3 points, 6 comments)
    3. length of portfolio daily return (3 points, 2 comments)
    4. Did Michael Burry, Jamie&Charlie enter the short position too early? (2 points, 4 comments)
    5. where to check participation score (2 points, 1 comment)
    6. Where to collect the midterm exam? (forgot to take it last week) (1 point, 3 comments)
  31. 26 points, 3 submissions: hilo260
    1. Is there a template for optimize_something on GitHub? (14 points, 3 comments)
    2. Marketism project? (8 points, 6 comments)
    3. "Do not change the API" (4 points, 7 comments)
  32. 26 points, 3 submissions: niufen
    1. Windows Server Setup Guide (23 points, 16 comments)
    2. Strategy Learner Adding UserID as Comment (2 points, 2 comments)
    3. Connect to server via Python Error (1 point, 6 comments)
  33. 26 points, 3 submissions: whoyoung99
    1. How much time you spend on Assess Learner? (13 points, 47 comments)
    2. Git clone repository without fork (8 points, 2 comments)
    3. Just for fun (5 points, 1 comment)
  34. 25 points, 8 submissions: SharjeelHanif
    1. When can we discuss defeat learners methods? (10 points, 1 comment)
    2. Are the buffet servers really down? (3 points, 2 comments)
    3. Are the midterm results in proctortrack gone? (3 points, 3 comments)
    4. Will these finance topics be covered on the final? (3 points, 9 comments)
    5. Anyone get set up with Proctortrack? (2 points, 10 comments)
    6. Incentives Quiz Discussion (2-01, Lesson 11.8) (2 points, 3 comments)
    7. Anyone from Houston, TX (1 point, 1 comment)
    8. How can I trace my error back to a line of code? (assess learners) (1 point, 3 comments)
  35. 25 points, 5 submissions: jlamberts3
    1. Conda vs VirtualEnv (7 points, 8 comments)
    2. Cool Portfolio Backtesting Tool (6 points, 6 comments)
    3. Warren Buffett wins $1M bet made a decade ago that the S&P 500 stock index would outperform hedge funds (6 points, 12 comments)
    4. Windows Ubuntu Subsystem Putty Alternative (4 points, 0 comments)
    5. Algorithmic Trading Of Digital Assets (2 points, 0 comments)
  36. 25 points, 4 submissions: suman_paul
    1. Grade statistics (9 points, 3 comments)
    2. Machine Learning book by Mitchell (6 points, 11 comments)
    3. Thank You (6 points, 6 comments)
    4. Assignment1 ready to be cloned? (4 points, 4 comments)
  37. 25 points, 3 submissions: Spareo
    1. Submit Assignments Function (OS X/Linux) (15 points, 6 comments)
    2. Quantsoftware Site down? (8 points, 38 comments)
    3. ML4T_2017Spring folder on Buffet server?? (2 points, 5 comments)
  38. 24 points, 14 submissions: nelsongcg
    1. Is it realistic for us to try to build our own trading bot and profit? (6 points, 21 comments)
    2. Is the risk free rate zero for any country? (3 points, 7 comments)
    3. Models and black swans - discussion (3 points, 0 comments)
    4. Normal distribution assumption for options pricing (2 points, 3 comments)
    5. Technical analysis for cryptocurrency market? (2 points, 4 comments)
    6. A counter argument to models by Nassim Taleb (1 point, 0 comments)
    7. Are we demandas to use the sample for part 1? (1 point, 1 comment)
    8. Benchmark for "trusting" your trading algorithm (1 point, 5 comments)
    9. Don't these two statements on the project description contradict each other? (1 point, 2 comments)
    10. Forgot my TA (1 point, 6 comments)
  39. 24 points, 11 submissions: nurobezede
    1. Best way to obtain survivor bias free stock data (8 points, 1 comment)
    2. Please confirm Midterm is from October 13-16 online with proctortrack. (5 points, 2 comments)
    3. Are these DTlearner Corr values good? (2 points, 6 comments)
    4. Testing gen_data.py (2 points, 3 comments)
    5. BagLearner of Baglearners says 'Object is not callable' (1 point, 8 comments)
    6. DTlearner training RMSE none zero but almost there (1 point, 2 comments)
    7. How to submit analysis using git and confirm it? (1 point, 2 comments)
    8. Passing kwargs to learners in a BagLearner (1 point, 5 comments)
    9. Sampling for bagging tree (1 point, 8 comments)
    10. code failing the 18th test with grade_learners.py (1 point, 6 comments)
  40. 24 points, 4 submissions: AeroZach
    1. questions about how to build a machine learning system that's going to work well in a real market (12 points, 6 comments)
    2. Survivor Bias Free Data (7 points, 5 comments)
    3. Genetic Algorithms for Feature selection (3 points, 5 comments)
    4. How far back can you train? (2 points, 2 comments)
  41. 23 points, 9 submissions: vsrinath6
    1. Participation check #3 - Haven't seen it yet (5 points, 5 comments)
    2. What are the tasks for this week? (5 points, 12 comments)
    3. No projects until after the mid-term? (4 points, 5 comments)
    4. Format / Syllabus for the exams (2 points, 3 comments)
    5. Has there been a Participation check #4? (2 points, 8 comments)
    6. Project 3 not visible on T-Square (2 points, 3 comments)
    7. Assess learners - do we need to check is method implemented for BagLearner? (1 point, 4 comments)
    8. Correct number of days reported in the dataframe (should be the number of trading days between the start date and end date, inclusive). (1 point, 0 comments)
    9. RuntimeError: Invalid DISPLAY variable (1 point, 2 comments)
  42. 23 points, 8 submissions: nick_algorithm
    1. Help with getting Average Daily Return Right (6 points, 7 comments)
    2. Hint for args argument in scipy minimize (5 points, 2 comments)
    3. How do you make money off of highly volatile (high SDDR) stocks? (4 points, 5 comments)
    4. Can We Use Code Obtained from Class To Make Money without Fear of Being Sued (3 points, 6 comments)
    5. Is the Std for Bollinger Bands calculated over the same timespan of the Moving Average? (2 points, 2 comments)
    6. Can't run grade_learners.py but I'm not doing anything different from the last assignment (?) (1 point, 5 comments)
    7. How to determine value at terminal node of tree? (1 point, 1 comment)
    8. Is there a way to get Reddit announcements piped to email (or have a subsequent T-Square announcement published simultaneously) (1 point, 2 comments)
  43. 23 points, 1 submission: gong6
    1. Is manual strategy ready? (23 points, 6 comments)
  44. 21 points, 6 submissions: amchang87
    1. Reason for public reddit? (6 points, 4 comments)
    2. Manual Strategy - 21 day holding Period (4 points, 12 comments)
    3. Sharpe Ratio (4 points, 6 comments)
    4. Manual Strategy - No Position? (3 points, 3 comments)
    5. ML / Manual Trader Performance (2 points, 0 comments)
    6. T-Square Submission Missing? (2 points, 3 comments)
  45. 21 points, 6 submissions: fall2017_ml4t_cs_god
    1. PSA: When typing in code, please use 'formatting help' to see how to make the code read cleaner. (8 points, 2 comments)
    2. Why do Bollinger Bands use 2 standard deviations? (5 points, 20 comments)
    3. How do I log into the [email protected]? (3 points, 1 comment)
    4. Is midterm 2 cumulative? (2 points, 3 comments)
    5. Where can we learn about options? (2 points, 2 comments)
    6. How do you calculate the analysis statistics for bps and manual strategy? (1 point, 1 comment)
  46. 21 points, 5 submissions: Jmitchell83
    1. Manual Strategy Grades (12 points, 9 comments)
    2. two-factor (3 points, 6 comments)
    3. Free to use volume? (2 points, 1 comment)
    4. Is MC1-Project-1 different than assess_portfolio? (2 points, 2 comments)
    5. Online Participation Checks (2 points, 4 comments)
  47. 21 points, 5 submissions: Sergei_B
    1. Do we need to worry about missing data for Asset Portfolio? (14 points, 13 comments)
    2. How do you get data from yahoo in panda? the sample old code is below: (2 points, 3 comments)
    3. How to fix import pandas as pd ImportError: No module named pandas? (2 points, 4 comments)
    4. Python Practice exam Question 48 (2 points, 2 comments)
    5. Mac: "virtualenv : command not found" (1 point, 2 comments)
  48. 21 points, 3 submissions: mharrow3
    1. First time reddit user .. (17 points, 37 comments)
    2. Course errors/types (2 points, 2 comments)
    3. Install course software on macOS using Vagrant .. (2 points, 0 comments)
  49. 20 points, 9 submissions: iceguyvn
    1. Manual strategy implementation for future projects (4 points, 15 comments)
    2. Help with correlation calculation (3 points, 15 comments)
    3. Help! maximum recursion depth exceeded (3 points, 10 comments)
    4. Help: how to index by date? (2 points, 4 comments)
    5. How to attach a 1D array to a 2D array? (2 points, 2 comments)
    6. How to set a single cell in a 2D DataFrame? (2 points, 4 comments)
    7. Next assignment after marketsim? (2 points, 4 comments)
    8. Pythonic way to detect the first row? (1 point, 6 comments)
    9. Questions regarding seed (1 point, 1 comment)
  50. 20 points, 3 submissions: JetsonDavis
    1. Push back assignment 3? (10 points, 14 comments)
    2. Final project (9 points, 3 comments)
    3. Numpy versions (1 point, 2 comments)
  51. 20 points, 2 submissions: pharmerino
    1. assess_portfolio test cases (16 points, 88 comments)
    2. ML4T Assignments (4 points, 6 comments)

Top Commenters

  1. tuckerbalch (2296 points, 1185 comments)
  2. davebyrd (1033 points, 466 comments)
  3. yokh_cs7646 (320 points, 177 comments)
  4. rgraziano3 (266 points, 147 comments)
  5. j0shj0nes (264 points, 148 comments)
  6. i__want__piazza (236 points, 127 comments)
  7. swamijay (227 points, 116 comments)
  8. _ant0n_ (205 points, 149 comments)
  9. ml4tstudent (204 points, 117 comments)
  10. gatechben (179 points, 107 comments)
  11. BNielson (176 points, 108 comments)
  12. jameschanx (176 points, 94 comments)
  13. Artmageddon (167 points, 83 comments)
  14. htrajan (162 points, 81 comments)
  15. boyko11 (154 points, 99 comments)
  16. alyssa_p_hacker (146 points, 80 comments)
  17. log_base_pi (141 points, 80 comments)
  18. Ran__Ran (139 points, 99 comments)
  19. johnsmarion (136 points, 86 comments)
  20. jgorman30_gatech (135 points, 102 comments)
  21. dyllll (125 points, 91 comments)
  22. MikeLachmayr (123 points, 95 comments)
  23. awhoof (113 points, 72 comments)
  24. SharjeelHanif (106 points, 59 comments)
  25. larrva (101 points, 69 comments)
  26. augustinius (100 points, 52 comments)
  27. oimesbcs (99 points, 67 comments)
  28. vansh21k (98 points, 62 comments)
  29. W1redgh0st (97 points, 70 comments)
  30. ybai67 (96 points, 41 comments)
  31. JuanCarlosKuriPinto (95 points, 54 comments)
  32. acschwabe (93 points, 58 comments)
  33. pharmerino (92 points, 47 comments)
  34. jgeiger (91 points, 28 comments)
  35. Zapurza (88 points, 70 comments)
  36. jyoms (87 points, 55 comments)
  37. omscs_zenan (87 points, 44 comments)
  38. nurobezede (85 points, 64 comments)
  39. BelaZhu (83 points, 50 comments)
  40. jason_gt (82 points, 36 comments)
  41. shuang379 (81 points, 64 comments)
  42. ggatech (81 points, 51 comments)
  43. nitinkodial_gatech (78 points, 59 comments)
  44. harshsikka123 (77 points, 55 comments)
  45. bkeenan7 (76 points, 49 comments)
  46. moxyll (76 points, 32 comments)
  47. nelsongcg (75 points, 53 comments)
  48. nickzelei (75 points, 41 comments)
  49. hunter2omscs (74 points, 29 comments)
  50. pointblank41 (73 points, 36 comments)
  51. zheweisun (66 points, 48 comments)
  52. bs_123 (66 points, 36 comments)
  53. storytimeuva (66 points, 36 comments)
  54. sva6 (66 points, 31 comments)
  55. bhrolenok (66 points, 27 comments)
  56. lingkaizuo (63 points, 46 comments)
  57. Marvel_this (62 points, 36 comments)
  58. agifft3_omscs (62 points, 35 comments)
  59. ssung40 (61 points, 47 comments)
  60. amchang87 (61 points, 32 comments)
  61. joshuak_gatech (61 points, 30 comments)
  62. fall2017_ml4t_cs_god (60 points, 50 comments)
  63. ccrouch8 (60 points, 45 comments)
  64. nick_algorithm (60 points, 29 comments)
  65. JetsonDavis (59 points, 35 comments)
  66. yjacket103 (58 points, 36 comments)
  67. hilo260 (58 points, 29 comments)
  68. coolwhip1234 (58 points, 15 comments)
  69. chvbs2000 (57 points, 49 comments)
  70. suman_paul (57 points, 29 comments)
  71. masterm (57 points, 23 comments)
  72. RolfKwakkelaar (55 points, 32 comments)
  73. rpb3 (55 points, 23 comments)
  74. venkatesh8 (54 points, 30 comments)
  75. omscs_avik (53 points, 37 comments)
  76. bman8810 (52 points, 31 comments)
  77. snladak (51 points, 31 comments)
  78. dfihn3 (50 points, 43 comments)
  79. mlcrypto (50 points, 32 comments)
  80. omscs-student (49 points, 26 comments)
  81. NellVega (48 points, 32 comments)
  82. booglespace (48 points, 23 comments)
  83. ccortner3 (48 points, 23 comments)
  84. caa5042 (47 points, 34 comments)
  85. gcalma3 (47 points, 25 comments)
  86. krushnatmore (44 points, 32 comments)
  87. sn_48 (43 points, 22 comments)
  88. thenewprofessional (43 points, 16 comments)
  89. urider (42 points, 33 comments)
  90. gatech-raleighite (42 points, 30 comments)
  91. chrisong2017 (41 points, 26 comments)
  92. ProudRamblinWreck (41 points, 24 comments)
  93. kramey8 (41 points, 24 comments)
  94. coderafk (40 points, 28 comments)
  95. niufen (40 points, 23 comments)
  96. tholladay3 (40 points, 23 comments)
  97. SaberCrunch (40 points, 22 comments)
  98. gnr11 (40 points, 21 comments)
  99. nadav3 (40 points, 18 comments)
  100. gt7431a (40 points, 16 comments)

Top Submissions

  1. [Project Questions] Unit Tests for assess_portfolio assignment by reyallan (58 points, 52 comments)
  2. [Project Questions] Unit Tests for optimize_something assignment by agifft3_omscs (53 points, 94 comments)
  3. Proper git workflow by jan-laszlo (43 points, 19 comments)
  4. Exam 2 Information by yokh_cs7646 (39 points, 40 comments)
  5. A little more on Pandas indexing/slicing ([] vs ix vs iloc vs loc) and numpy shapes by davebyrd (37 points, 10 comments)
  6. Project 1 Megathread (assess_portfolio) by davebyrd (34 points, 466 comments)
  7. defeat_learner test case by swamijay (34 points, 38 comments)
  8. Project 2 Megathread (optimize_something) by tuckerbalch (33 points, 475 comments)
  9. project 3 megathread (assess_learners) by tuckerbalch (27 points, 1130 comments)
  10. Deadline extension? by johannes_92 (26 points, 40 comments)

Top Comments

  1. 34 points: jgeiger's comment in QLearning Robot project megathread
  2. 31 points: coolwhip1234's comment in QLearning Robot project megathread
  3. 30 points: tuckerbalch's comment in Why Professor is usually late for class?
  4. 23 points: davebyrd's comment in Deadline extension?
  5. 20 points: jason_gt's comment in What would be a good quiz question regarding The Big Short?
  6. 19 points: yokh_cs7646's comment in For online students: Participation check #2
  7. 17 points: i__want__piazza's comment in project 3 megathread (assess_learners)
  8. 17 points: nathakhanh2's comment in Project 2 Megathread (optimize_something)
  9. 17 points: pharmerino's comment in Midterm study Megathread
  10. 17 points: tuckerbalch's comment in Midterm grades posted to T-Square
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