How to Predict Bitcoin Price with Deep Learning LSTM ...

"Bitcoin Price Prediction Using Machine Learning And Python" by Computer Science

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List of 110+ Free Udemy & Popular Discounted : ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More

ETL & Data Integration Masterclass, HTML, JavaScript, & Bootstrap, Marketing Analytics, Microsoft Excel, Machine Learning, Android App Developer, React JS - A Complete Guide for Frontend Web Development, Python, Tableau, Instructional Design & Many More
Source: Freebies Global - https://freebiesglobal.com/
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Dragonchain Great Reddit Scaling Bake-Off Public Proposal

Dragonchain Great Reddit Scaling Bake-Off Public Proposal

Dragonchain Public Proposal TL;DR:

Dragonchain has demonstrated twice Reddit’s entire total daily volume (votes, comments, and posts per Reddit 2019 Year in Review) in a 24-hour demo on an operational network. Every single transaction on Dragonchain is decentralized immediately through 5 levels of Dragon Net, and then secured with combined proof on Bitcoin, Ethereum, Ethereum Classic, and Binance Chain, via Interchain. At the time, in January 2020, the entire cost of the demo was approximately $25K on a single system (transaction fees locked at $0.0001/txn). With current fees (lowest fee $0.0000025/txn), this would cost as little as $625.
Watch Joe walk through the entire proposal and answer questions on YouTube.
This proposal is also available on the Dragonchain blog.

Hello Reddit and Ethereum community!

I’m Joe Roets, Founder & CEO of Dragonchain. When the team and I first heard about The Great Reddit Scaling Bake-Off we were intrigued. We believe we have the solutions Reddit seeks for its community points system and we have them at scale.
For your consideration, we have submitted our proposal below. The team at Dragonchain and I welcome and look forward to your technical questions, philosophical feedback, and fair criticism, to build a scaling solution for Reddit that will empower its users. Because our architecture is unlike other blockchain platforms out there today, we expect to receive many questions while people try to grasp our project. I will answer all questions here in this thread on Reddit, and I've answered some questions in the stream on YouTube.
We have seen good discussions so far in the competition. We hope that Reddit’s scaling solution will emerge from The Great Reddit Scaling Bake-Off and that Reddit will have great success with the implementation.

Executive summary

Dragonchain is a robust open source hybrid blockchain platform that has proven to withstand the passing of time since our inception in 2014. We have continued to evolve to harness the scalability of private nodes, yet take full advantage of the security of public decentralized networks, like Ethereum. We have a live, operational, and fully functional Interchain network integrating Bitcoin, Ethereum, Ethereum Classic, and ~700 independent Dragonchain nodes. Every transaction is secured to Ethereum, Bitcoin, and Ethereum Classic. Transactions are immediately usable on chain, and the first decentralization is seen within 20 seconds on Dragon Net. Security increases further to public networks ETH, BTC, and ETC within 10 minutes to 2 hours. Smart contracts can be written in any executable language, offering full freedom to existing developers. We invite any developer to watch the demo, play with our SDK’s, review open source code, and to help us move forward. Dragonchain specializes in scalable loyalty & rewards solutions and has built a decentralized social network on chain, with very affordable transaction costs. This experience can be combined with the insights Reddit and the Ethereum community have gained in the past couple of months to roll out the solution at a rapid pace.

Response and PoC

In The Great Reddit Scaling Bake-Off post, Reddit has asked for a series of demonstrations, requirements, and other considerations. In this section, we will attempt to answer all of these requests.

Live Demo

A live proof of concept showing hundreds of thousands of transactions
On Jan 7, 2020, Dragonchain hosted a 24-hour live demonstration during which a quarter of a billion (250 million+) transactions executed fully on an operational network. Every single transaction on Dragonchain is decentralized immediately through 5 levels of Dragon Net, and then secured with combined proof on Bitcoin, Ethereum, Ethereum Classic, and Binance Chain, via Interchain. This means that every single transaction is secured by, and traceable to these networks. An attack on this system would require a simultaneous attack on all of the Interchained networks.
24 hours in 4 minutes (YouTube):
24 hours in 4 minutes
The demonstration was of a single business system, and any user is able to scale this further, by running multiple systems simultaneously. Our goals for the event were to demonstrate a consistent capacity greater than that of Visa over an extended time period.
Tooling to reproduce our demo is available here:
https://github.com/dragonchain/spirit-bomb

Source Code

Source code (for on & off-chain components as well tooling used for the PoC). The source code does not have to be shared publicly, but if Reddit decides to use a particular solution it will need to be shared with Reddit at some point.

Scaling

How it works & scales

Architectural Scaling

Dragonchain’s architecture attacks the scalability issue from multiple angles. Dragonchain is a hybrid blockchain platform, wherein every transaction is protected on a business node to the requirements of that business or purpose. A business node may be held completely private or may be exposed or replicated to any level of exposure desired.
Every node has its own blockchain and is independently scalable. Dragonchain established Context Based Verification as its consensus model. Every transaction is immediately usable on a trust basis, and in time is provable to an increasing level of decentralized consensus. A transaction will have a level of decentralization to independently owned and deployed Dragonchain nodes (~700 nodes) within seconds, and full decentralization to BTC and ETH within minutes or hours. Level 5 nodes (Interchain nodes) function to secure all transactions to public or otherwise external chains such as Bitcoin and Ethereum. These nodes scale the system by aggregating multiple blocks into a single Interchain transaction on a cadence. This timing is configurable based upon average fees for each respective chain. For detailed information about Dragonchain’s architecture, and Context Based Verification, please refer to the Dragonchain Architecture Document.

Economic Scaling

An interesting feature of Dragonchain’s network consensus is its economics and scarcity model. Since Dragon Net nodes (L2-L4) are independent staking nodes, deployment to cloud platforms would allow any of these nodes to scale to take on a large percentage of the verification work. This is great for scalability, but not good for the economy, because there is no scarcity, and pricing would develop a downward spiral and result in fewer verification nodes. For this reason, Dragonchain uses TIME as scarcity.
TIME is calculated as the number of Dragons held, multiplied by the number of days held. TIME influences the user’s access to features within the Dragonchain ecosystem. It takes into account both the Dragon balance and length of time each Dragon is held. TIME is staked by users against every verification node and dictates how much of the transaction fees are awarded to each participating node for every block.
TIME also dictates the transaction fee itself for the business node. TIME is staked against a business node to set a deterministic transaction fee level (see transaction fee table below in Cost section). This is very interesting in a discussion about scaling because it guarantees independence for business implementation. No matter how much traffic appears on the entire network, a business is guaranteed to not see an increased transaction fee rate.

Scaled Deployment

Dragonchain uses Docker and Kubernetes to allow the use of best practices traditional system scaling. Dragonchain offers managed nodes with an easy to use web based console interface. The user may also deploy a Dragonchain node within their own datacenter or favorite cloud platform. Users have deployed Dragonchain nodes on-prem on Amazon AWS, Google Cloud, MS Azure, and other hosting platforms around the world. Any executable code, anything you can write, can be written into a smart contract. This flexibility is what allows us to say that developers with no blockchain experience can use any code language to access the benefits of blockchain. Customers have used NodeJS, Python, Java, and even BASH shell script to write smart contracts on Dragonchain.
With Docker containers, we achieve better separation of concerns, faster deployment, higher reliability, and lower response times.
We chose Kubernetes for its self-healing features, ability to run multiple services on one server, and its large and thriving development community. It is resilient, scalable, and automated. OpenFaaS allows us to package smart contracts as Docker images for easy deployment.
Contract deployment time is now bounded only by the size of the Docker image being deployed but remains fast even for reasonably large images. We also take advantage of Docker’s flexibility and its ability to support any language that can run on x86 architecture. Any image, public or private, can be run as a smart contract using Dragonchain.

Flexibility in Scaling

Dragonchain’s architecture considers interoperability and integration as key features. From inception, we had a goal to increase adoption via integration with real business use cases and traditional systems.
We envision the ability for Reddit, in the future, to be able to integrate alternate content storage platforms or other financial services along with the token.
  • LBRY - To allow users to deploy content natively to LBRY
  • MakerDAO to allow users to lend small amounts backed by their Reddit community points.
  • STORJ/SIA to allow decentralized on chain storage of portions of content. These integrations or any other are relatively easy to integrate on Dragonchain with an Interchain implementation.

Cost

Cost estimates (on-chain and off-chain) For the purpose of this proposal, we assume that all transactions are on chain (posts, replies, and votes).
On the Dragonchain network, transaction costs are deterministic/predictable. By staking TIME on the business node (as described above) Reddit can reduce transaction costs to as low as $0.0000025 per transaction.
Dragonchain Fees Table

Getting Started

How to run it
Building on Dragonchain is simple and requires no blockchain experience. Spin up a business node (L1) in our managed environment (AWS), run it in your own cloud environment, or on-prem in your own datacenter. Clear documentation will walk you through the steps of spinning up your first Dragonchain Level 1 Business node.
Getting started is easy...
  1. Download Dragonchain’s dctl
  2. Input three commands into a terminal
  3. Build an image
  4. Run it
More information can be found in our Get started documents.

Architecture
Dragonchain is an open source hybrid platform. Through Dragon Net, each chain combines the power of a public blockchain (like Ethereum) with the privacy of a private blockchain.
Dragonchain organizes its network into five separate levels. A Level 1, or business node, is a totally private blockchain only accessible through the use of public/private keypairs. All business logic, including smart contracts, can be executed on this node directly and added to the chain.
After creating a block, the Level 1 business node broadcasts a version stripped of sensitive private data to Dragon Net. Three Level 2 Validating nodes validate the transaction based on guidelines determined from the business. A Level 3 Diversity node checks that the level 2 nodes are from a diverse array of locations. A Level 4 Notary node, hosted by a KYC partner, then signs the validation record received from the Level 3 node. The transaction hash is ledgered to the Level 5 public chain to take advantage of the hash power of massive public networks.
Dragon Net can be thought of as a “blockchain of blockchains”, where every level is a complete private blockchain. Because an L1 can send to multiple nodes on a single level, proof of existence is distributed among many places in the network. Eventually, proof of existence reaches level 5 and is published on a public network.

API Documentation

APIs (on chain & off)

SDK Source

Nobody’s Perfect

Known issues or tradeoffs
  • Dragonchain is open source and even though the platform is easy enough for developers to code in any language they are comfortable with, we do not have so large a developer community as Ethereum. We would like to see the Ethereum developer community (and any other communities) become familiar with our SDK’s, our solutions, and our platform, to unlock the full potential of our Ethereum Interchain. Long ago we decided to prioritize both Bitcoin and Ethereum Interchains. We envision an ecosystem that encompasses different projects to give developers the ability to take full advantage of all the opportunities blockchain offers to create decentralized solutions not only for Reddit but for all of our current platforms and systems. We believe that together we will take the adoption of blockchain further. We currently have additional Interchain with Ethereum Classic. We look forward to Interchain with other blockchains in the future. We invite all blockchains projects who believe in decentralization and security to Interchain with Dragonchain.
  • While we only have 700 nodes compared to 8,000 Ethereum and 10,000 Bitcoin nodes. We harness those 18,000 nodes to scale to extremely high levels of security. See Dragonchain metrics.
  • Some may consider the centralization of Dragonchain’s business nodes as an issue at first glance, however, the model is by design to protect business data. We do not consider this a drawback as these nodes can make any, none, or all data public. Depending upon the implementation, every subreddit could have control of its own business node, for potential business and enterprise offerings, bringing new alternative revenue streams to Reddit.

Costs and resources

Summary of cost & resource information for both on-chain & off-chain components used in the PoC, as well as cost & resource estimates for further scaling. If your PoC is not on mainnet, make note of any mainnet caveats (such as congestion issues).
Every transaction on the PoC system had a transaction fee of $0.0001 (one-hundredth of a cent USD). At 256MM transactions, the demo cost $25,600. With current operational fees, the same demonstration would cost $640 USD.
For the demonstration, to achieve throughput to mimic a worldwide payments network, we modeled several clients in AWS and 4-5 business nodes to handle the traffic. The business nodes were tuned to handle higher throughput by adjusting memory and machine footprint on AWS. This flexibility is valuable to implementing a system such as envisioned by Reddit. Given that Reddit’s daily traffic (posts, replies, and votes) is less than half that of our demo, we would expect that the entire Reddit system could be handled on 2-5 business nodes using right-sized containers on AWS or similar environments.
Verification was accomplished on the operational Dragon Net network with over 700 independently owned verification nodes running around the world at no cost to the business other than paid transaction fees.

Requirements

Scaling

This PoC should scale to the numbers below with minimal costs (both on & off-chain). There should also be a clear path to supporting hundreds of millions of users.
Over a 5 day period, your scaling PoC should be able to handle:
*100,000 point claims (minting & distributing points) *25,000 subscriptions *75,000 one-off points burning *100,000 transfers
During Dragonchain’s 24 hour demo, the above required numbers were reached within the first few minutes.
Reddit’s total activity is 9000% more than Ethereum’s total transaction level. Even if you do not include votes, it is still 700% more than Ethereum’s current volume. Dragonchain has demonstrated that it can handle 250 million transactions a day, and it’s architecture allows for multiple systems to work at that level simultaneously. In our PoC, we demonstrate double the full capacity of Reddit, and every transaction was proven all the way to Bitcoin and Ethereum.
Reddit Scaling on Ethereum

Decentralization

Solutions should not depend on any single third-party provider. We prefer solutions that do not depend on specific entities such as Reddit or another provider, and solutions with no single point of control or failure in off-chain components but recognize there are numerous trade-offs to consider
Dragonchain’s architecture calls for a hybrid approach. Private business nodes hold the sensitive data while the validation and verification of transactions for the business are decentralized within seconds and secured to public blockchains within 10 minutes to 2 hours. Nodes could potentially be controlled by owners of individual subreddits for more organic decentralization.
  • Billing is currently centralized - there is a path to federation and decentralization of a scaled billing solution.
  • Operational multi-cloud
  • Operational on-premises capabilities
  • Operational deployment to any datacenter
  • Over 700 independent Community Verification Nodes with proof of ownership
  • Operational Interchain (Interoperable to Bitcoin, Ethereum, and Ethereum Classic, open to more)

Usability Scaling solutions should have a simple end user experience.

Users shouldn't have to maintain any extra state/proofs, regularly monitor activity, keep track of extra keys, or sign anything other than their normal transactions
Dragonchain and its customers have demonstrated extraordinary usability as a feature in many applications, where users do not need to know that the system is backed by a live blockchain. Lyceum is one of these examples, where the progress of academy courses is being tracked, and successful completion of courses is rewarded with certificates on chain. Our @Save_The_Tweet bot is popular on Twitter. When used with one of the following hashtags - #please, #blockchain, #ThankYou, or #eternalize the tweet is saved through Eternal to multiple blockchains. A proof report is available for future reference. Other examples in use are DEN, our decentralized social media platform, and our console, where users can track their node rewards, view their TIME, and operate a business node.
Examples:

Transactions complete in a reasonable amount of time (seconds or minutes, not hours or days)
All transactions are immediately usable on chain by the system. A transaction begins the path to decentralization at the conclusion of a 5-second block when it gets distributed across 5 separate community run nodes. Full decentralization occurs within 10 minutes to 2 hours depending on which interchain (Bitcoin, Ethereum, or Ethereum Classic) the transaction hits first. Within approximately 2 hours, the combined hash power of all interchained blockchains secures the transaction.

Free to use for end users (no gas fees, or fixed/minimal fees that Reddit can pay on their behalf)
With transaction pricing as low as $0.0000025 per transaction, it may be considered reasonable for Reddit to cover transaction fees for users.
All of Reddit's Transactions on Blockchain (month)
Community points can be earned by users and distributed directly to their Reddit account in batch (as per Reddit minting plan), and allow users to withdraw rewards to their Ethereum wallet whenever they wish. Withdrawal fees can be paid by either user or Reddit. This model has been operating inside the Dragonchain system since 2018, and many security and financial compliance features can be optionally added. We feel that this capability greatly enhances user experience because it is seamless to a regular user without cryptocurrency experience, yet flexible to a tech savvy user. With regard to currency or token transactions, these would occur on the Reddit network, verified to BTC and ETH. These transactions would incur the $0.0000025 transaction fee. To estimate this fee we use the monthly active Reddit users statista with a 60% adoption rate and an estimated 10 transactions per month average resulting in an approximate $720 cost across the system. Reddit could feasibly incur all associated internal network charges (mining/minting, transfer, burn) as these are very low and controllable fees.
Reddit Internal Token Transaction Fees

Reddit Ethereum Token Transaction Fees
When we consider further the Ethereum fees that might be incurred, we have a few choices for a solution.
  1. Offload all Ethereum transaction fees (user withdrawals) to interested users as they wish to withdraw tokens for external use or sale.
  2. Cover Ethereum transaction fees by aggregating them on a timed schedule. Users would request withdrawal (from Reddit or individual subreddits), and they would be transacted on the Ethereum network every hour (or some other schedule).
  3. In a combination of the above, customers could cover aggregated fees.
  4. Integrate with alternate Ethereum roll up solutions or other proposals to aggregate minting and distribution transactions onto Ethereum.

Bonus Points

Users should be able to view their balances & transactions via a blockchain explorer-style interface
From interfaces for users who have no knowledge of blockchain technology to users who are well versed in blockchain terms such as those present in a typical block explorer, a system powered by Dragonchain has flexibility on how to provide balances and transaction data to users. Transactions can be made viewable in an Eternal Proof Report, which displays raw data along with TIME staking information and traceability all the way to Bitcoin, Ethereum, and every other Interchained network. The report shows fields such as transaction ID, timestamp, block ID, multiple verifications, and Interchain proof. See example here.
Node payouts within the Dragonchain console are listed in chronological order and can be further seen in either Dragons or USD. See example here.
In our social media platform, Dragon Den, users can see, in real-time, their NRG and MTR balances. See example here.
A new influencer app powered by Dragonchain, Raiinmaker, breaks down data into a user friendly interface that shows coin portfolio, redeemed rewards, and social scores per campaign. See example here.

Exiting is fast & simple
Withdrawing funds on Dragonchain’s console requires three clicks, however, withdrawal scenarios with more enhanced security features per Reddit’s discretion are obtainable.

Interoperability Compatibility with third party apps (wallets/contracts/etc) is necessary.
Proven interoperability at scale that surpasses the required specifications. Our entire platform consists of interoperable blockchains connected to each other and traditional systems. APIs are well documented. Third party permissions are possible with a simple smart contract without the end user being aware. No need to learn any specialized proprietary language. Any code base (not subsets) is usable within a Docker container. Interoperable with any blockchain or traditional APIs. We’ve witnessed relatively complex systems built by engineers with no blockchain or cryptocurrency experience. We’ve also demonstrated the creation of smart contracts within minutes built with BASH shell and Node.js. Please see our source code and API documentation.

Scaling solutions should be extensible and allow third parties to build on top of it Open source and extensible
APIs should be well documented and stable

Documentation should be clear and complete
For full documentation, explore our docs, SDK’s, Github repo’s, architecture documents, original Disney documentation, and other links or resources provided in this proposal.

Third-party permissionless integrations should be possible & straightforward Smart contracts are Docker based, can be written in any language, use full language (not subsets), and can therefore be integrated with any system including traditional system APIs. Simple is better. Learning an uncommon or proprietary language should not be necessary.
Advanced knowledge of mathematics, cryptography, or L2 scaling should not be required. Compatibility with common utilities & toolchains is expected.
Dragonchain business nodes and smart contracts leverage Docker to allow the use of literally any language or executable code. No proprietary language is necessary. We’ve witnessed relatively complex systems built by engineers with no blockchain or cryptocurrency experience. We’ve also demonstrated the creation of smart contracts within minutes built with BASH shell and Node.js.

Bonus

Bonus Points: Show us how it works. Do you have an idea for a cool new use case for Community Points? Build it!

TIME

Community points could be awarded to Reddit users based upon TIME too, whereas the longer someone is part of a subreddit, the more community points someone naturally gained, even if not actively commenting or sharing new posts. A daily login could be required for these community points to be credited. This grants awards to readers too and incentivizes readers to create an account on Reddit if they browse the website often. This concept could also be leveraged to provide some level of reputation based upon duration and consistency of contribution to a community subreddit.

Dragon Den

Dragonchain has already built a social media platform that harnesses community involvement. Dragon Den is a decentralized community built on the Dragonchain blockchain platform. Dragon Den is Dragonchain’s answer to fake news, trolling, and censorship. It incentivizes the creation and evaluation of quality content within communities. It could be described as being a shareholder of a subreddit or Reddit in its entirety. The more your subreddit is thriving, the more rewarding it will be. Den is currently in a public beta and in active development, though the real token economy is not live yet. There are different tokens for various purposes. Two tokens are Lair Ownership Rights (LOR) and Lair Ownership Tokens (LOT). LOT is a non-fungible token for ownership of a specific Lair. LOT will only be created and converted from LOR.
Energy (NRG) and Matter (MTR) work jointly. Your MTR determines how much NRG you receive in a 24-hour period. Providing quality content, or evaluating content will earn MTR.

Security. Users have full ownership & control of their points.
All community points awarded based upon any type of activity or gift, are secured and provable to all Interchain networks (currently BTC, ETH, ETC). Users are free to spend and withdraw their points as they please, depending on the features Reddit wants to bring into production.

Balances and transactions cannot be forged, manipulated, or blocked by Reddit or anyone else
Users can withdraw their balance to their ERC20 wallet, directly through Reddit. Reddit can cover the fees on their behalf, or the user covers this with a portion of their balance.

Users should own their points and be able to get on-chain ERC20 tokens without permission from anyone else
Through our console users can withdraw their ERC20 rewards. This can be achieved on Reddit too. Here is a walkthrough of our console, though this does not show the quick withdrawal functionality, a user can withdraw at any time. https://www.youtube.com/watch?v=aNlTMxnfVHw

Points should be recoverable to on-chain ERC20 tokens even if all third-parties involved go offline
If necessary, signed transactions from the Reddit system (e.g. Reddit + Subreddit) can be sent to the Ethereum smart contract for minting.

A public, third-party review attesting to the soundness of the design should be available
To our knowledge, at least two large corporations, including a top 3 accounting firm, have conducted positive reviews. These reviews have never been made public, as Dragonchain did not pay or contract for these studies to be released.

Bonus points
Public, third-party implementation review available or in progress
See above

Compatibility with HSMs & hardware wallets
For the purpose of this proposal, all tokenization would be on the Ethereum network using standard token contracts and as such, would be able to leverage all hardware wallet and Ethereum ecosystem services.

Other Considerations

Minting/distributing tokens is not performed by Reddit directly
This operation can be automated by smart contract on Ethereum. Subreddits can if desired have a role to play.

One off point burning, as well as recurring, non-interactive point burning (for subreddit memberships) should be possible and scalable
This is possible and scalable with interaction between Dragonchain Reddit system and Ethereum token contract(s).

Fully open-source solutions are strongly preferred
Dragonchain is fully open source (see section on Disney release after conclusion).

Conclusion

Whether it is today, or in the future, we would like to work together to bring secure flexibility to the highest standards. It is our hope to be considered by Ethereum, Reddit, and other integrative solutions so we may further discuss the possibilities of implementation. In our public demonstration, 256 million transactions were handled in our operational network on chain in 24 hours, for the low cost of $25K, which if run today would cost $625. Dragonchain’s interoperable foundation provides the atmosphere necessary to implement a frictionless community points system. Thank you for your consideration of our proposal. We look forward to working with the community to make something great!

Disney Releases Blockchain Platform as Open Source

The team at Disney created the Disney Private Blockchain Platform. The system was a hybrid interoperable blockchain platform for ledgering and smart contract development geared toward solving problems with blockchain adoption and usability. All objective evaluation would consider the team’s output a success. We released a list of use cases that we explored in some capacity at Disney, and our input on blockchain standardization as part of our participation in the W3C Blockchain Community Group.
https://lists.w3.org/Archives/Public/public-blockchain/2016May/0052.html

Open Source

In 2016, Roets proposed to release the platform as open source to spread the technology outside of Disney, as others within the W3C group were interested in the solutions that had been created inside of Disney.
Following a long process, step by step, the team met requirements for release. Among the requirements, the team had to:
  • Obtain VP support and approval for the release
  • Verify ownership of the software to be released
  • Verify that no proprietary content would be released
  • Convince the organization that there was a value to the open source community
  • Convince the organization that there was a value to Disney
  • Offer the plan for ongoing maintenance of the project outside of Disney
  • Itemize competing projects
  • Verify no conflict of interest
  • Preferred license
  • Change the project name to not use the name Disney, any Disney character, or any other associated IP - proposed Dragonchain - approved
  • Obtain legal approval
  • Approval from corporate, parks, and other business units
  • Approval from multiple Disney patent groups Copyright holder defined by Disney (Disney Connected and Advanced Technologies)
  • Trademark searches conducted for the selected name Dragonchain
  • Obtain IT security approval
  • Manual review of OSS components conducted
  • OWASP Dependency and Vulnerability Check Conducted
  • Obtain technical (software) approval
  • Offer management, process, and financial plans for the maintenance of the project.
  • Meet list of items to be addressed before release
  • Remove all Disney project references and scripts
  • Create a public distribution list for email communications
  • Remove Roets’ direct and internal contact information
  • Create public Slack channel and move from Disney slack channels
  • Create proper labels for issue tracking
  • Rename internal private Github repository
  • Add informative description to Github page
  • Expand README.md with more specific information
  • Add information beyond current “Blockchains are Magic”
  • Add getting started sections and info on cloning/forking the project
  • Add installation details
  • Add uninstall process
  • Add unit, functional, and integration test information
  • Detail how to contribute and get involved
  • Describe the git workflow that the project will use
  • Move to public, non-Disney git repository (Github or Bitbucket)
  • Obtain Disney Open Source Committee approval for release
On top of meeting the above criteria, as part of the process, the maintainer of the project had to receive the codebase on their own personal email and create accounts for maintenance (e.g. Github) with non-Disney accounts. Given the fact that the project spanned multiple business units, Roets was individually responsible for its ongoing maintenance. Because of this, he proposed in the open source application to create a non-profit organization to hold the IP and maintain the project. This was approved by Disney.
The Disney Open Source Committee approved the application known as OSSRELEASE-10, and the code was released on October 2, 2016. Disney decided to not issue a press release.
Original OSSRELASE-10 document

Dragonchain Foundation

The Dragonchain Foundation was created on January 17, 2017. https://den.social/l/Dragonchain/24130078352e485d96d2125082151cf0/dragonchain-and-disney/
submitted by j0j0r0 to ethereum [link] [comments]

vectorbt - blazingly fast backtesting and interactive data analysis for quants

I want to share with you a tool that I was continuously developing during the last couple of months.
https://github.com/polakowo/vectorbt

As a data scientist, when I first started flirting with quant trading, I quickly realized that there is a shortage of Python packages that can actually enable me to iterate over a long list of possible strategies and hyper-parameters quickly. Most open-source backtesting libraries are very evolved in terms of functionality, but simply lack speed. Questions like "Which strategy is better: X or Y?" require fast computation and transformation of data. This not only prolongs your lifecycle of designing strategies, but is dangerous after all: limited number of tests is similar to a tunnel vision - it prevents you from seeing the bigger picture and makes you dive into the market blindly.
After trying tweaking pandas, multiprocessing, and even evaluating my strategies on a cluster with Spark, I finally found myself using Numba - a Python library that can compile slow Python code to be run at native machine code speed. And since there were no packages in the Python ecosystem that could even closely match the speed of my own backtests, I made vectorbt.
vectorbt combines pandas, NumPy and Numba sauce to obtain orders-of-magnitude speedup over other libraries. It builds upon the idea that each instance of a trading strategy can be represented in a vectorized form, so multiple strategy instances can be packed into a single multi-dimensional array. In this form, they can processed in a highly efficient manner and compared easily. It also integrates Plotly and ipywidgets to display complex charts and dashboards akin to Tableau right in the Jupyter notebook. You can find basic examples and explanations in the documentation.

Below is an example of doing in total 67,032 tests on three different timeframes of Bitcoin price history to explore how performance of a MACD strategy depends upon various combinations of fast, slow and signal windows:
import vectorbt as vbt import numpy as np import yfinance as yf from itertools import combinations, product # Fetch daily price of Bitcoin price = yf.Ticker("BTC-USD").history(period="max")['Close'] price = price.vbt.split_into_ranges(n=3) # Define hyper-parameter space # 49 fast x 49 slow x 19 signal fast_windows, slow_windows, signal_windows = vbt.indicators.create_param_combs( (product, (combinations, np.arange(2, 51, 1), 2), np.arange(2, 21, 1))) # Run MACD indicator macd_ind = vbt.MACD.from_params( price, fast_window=fast_windows, slow_window=slow_windows, signal_window=signal_windows, hide_params=['macd_ewm', 'signal_ewm'] ) # Long when MACD is above zero AND signal entries = macd_ind.macd_above(0) & macd_ind.macd_above(macd_ind.signal) # Short when MACD is below zero OR signal exits = macd_ind.macd_below(0) | macd_ind.macd_below(macd_ind.signal) # Build portfolio portfolio = vbt.Portfolio.from_signals( price.vbt.tile(len(fast_windows)), entries, exits, fees=0.001, freq='1D') # Draw all window combinations as a 3D volume fig = portfolio.total_return.vbt.volume( x_level='macd_fast_window', y_level='macd_slow_window', z_level='macd_signal_window', slider_level='range_start', template='plotly_dark', trace_kwargs=dict( colorscale='Viridis', colorbar=dict( title='Total return', tickformat='%' ) ) ) fig.show() 

https://reddit.com/link/hxl6bn/video/180sxqa8mzc51/player
From signal generation to data visualization, the example above needs roughly a minute to run.

vectorbt let's you
The current implementation has limitations though:

If it sounds cool enough, try it out! I would love if you'd give me some feedback and contribute to it at some point, as the codebase has grown very fast. Cheers.
submitted by plkwo to algotrading [link] [comments]

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Eklavya Online Interview Question

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Technical Interview Questions

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Eklavya Online, EklavyaOnline, Self Study, Study Tutorial, Technical Interview Questions, Interview Questions Preparation, FAQ, Interview Questions, Most Asked Interview Questions, Rapid Fire, Latest Interview Questions, Updated Interview Questions Answers, Advance Java, Android Interview Questions, Angular 7 Interview Questions, Angular 8 Interview Questions, Angular Interview Questions, AngularJS Interview Questions, API Testing Interview Questions, Artificial Intelligence Interview Questions, ASP.NET Interview Questions, AWS Interview Questions, Backbone.js Interview Questions, Bitcoin Interview Questions, Blockchain Interview Questions, Blog, C Interview Questions, CodeIgniter Interview Questions, Core Java, Data Analytics Interview Questions, Data Structure Interview Questions, DB2 Interview Questions, DBMS Interview Questions, DevOps Interview Questions, Digital Marketing Interview Questions, Django Interview Questions, Dot Net Interview Questions, Drupal Interview Questions, Ember.js Interview Questions, Flutter Interview Questions, Hadoop Interview Questions, HR Interview Questions, Interview Tips, Joomla Interview Questions, Laravel Interview Questions, Machine Learning Interview Questions, Magento Interview Questions, Microsoft Azure Interview Question, MongoDB Interview Questions, MySQL Interview Questions, Node.js Interview Questions, Oracle Interview Questions, Phalcon Interview Question, PHP Interview Questions, PL/SQL Interview Questions, Power BI Interview Questions, Project Management Interview Questions, Pure.CSS Interview Questions, Python Interview Questions, Quality Assurance Interview Questions, R Interview Questions, React Native Interview Questions, Selenium Interview Questions, SEO Interview Questions, Software Testing Interview Questions, SQL Interview Questions, Swift Interview Questions, Tableau Interview Questions, Vue.js Interview Questions, Web Development Interview Questions, Web Services Interview Questions, WordPress Interview Questions
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Eklavya Online Category Interview Question

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Eklavya Online Interview Question

Eklavya Online Interview Question
Eklavya Online, EklavyaOnline, Self Study, Study Tutorial, Technical Interview Questions, Interview Questions Preparation, FAQ, Interview Questions, Most Asked Interview Questions, Rapid Fire, Latest Interview Questions, Updated Interview Questions Answers, Advance Java, Android Interview Questions, Angular 7 Interview Questions, Angular 8 Interview Questions, Angular Interview Questions, AngularJS Interview Questions, API Testing Interview Questions, Artificial Intelligence Interview Questions, ASP.NET Interview Questions, AWS Interview Questions, Backbone.js Interview Questions, Bitcoin Interview Questions, Blockchain Interview Questions, Blog, C Interview Questions, CodeIgniter Interview Questions, Core Java, Data Analytics Interview Questions, Data Structure Interview Questions, DB2 Interview Questions, DBMS Interview Questions, DevOps Interview Questions, Digital Marketing Interview Questions, Django Interview Questions, Dot Net Interview Questions, Drupal Interview Questions, Ember.js Interview Questions, Flutter Interview Questions, Hadoop Interview Questions, HR Interview Questions, Interview Tips, Joomla Interview Questions, Laravel Interview Questions, Machine Learning Interview Questions, Magento Interview Questions, Microsoft Azure Interview Question, MongoDB Interview Questions, MySQL Interview Questions, Node.js Interview Questions, Oracle Interview Questions, Phalcon Interview Question, PHP Interview Questions, PL/SQL Interview Questions, Power BI Interview Questions, Project Management Interview Questions, Pure.CSS Interview Questions, Python Interview Questions, Quality Assurance Interview Questions, R Interview Questions, React Native Interview Questions, Selenium Interview Questions, SEO Interview Questions, Software Testing Interview Questions, SQL Interview Questions, Swift Interview Questions, Tableau Interview Questions, Vue.js Interview Questions, Web Development Interview Questions, Web Services Interview Questions, WordPress Interview Questions
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Eklavya Online Technical Interview Question

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Eklavya Online Interview Questions

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Eklavya Online, EklavyaOnline, Self Study, Study Tutorial, Technical Interview Questions, Interview Questions Preparation, FAQ, Interview Questions, Most Asked Interview Questions, Rapid Fire, Latest Interview Questions, Updated Interview Questions Answers, Advance Java, Android Interview Questions, Angular 7 Interview Questions, Angular 8 Interview Questions, Angular Interview Questions, AngularJS Interview Questions, API Testing Interview Questions, Artificial Intelligence Interview Questions, ASP.NET Interview Questions, AWS Interview Questions, Backbone.js Interview Questions, Bitcoin Interview Questions, Blockchain Interview Questions, Blog, C Interview Questions, CodeIgniter Interview Questions, Core Java, Data Analytics Interview Questions, Data Structure Interview Questions, DB2 Interview Questions, DBMS Interview Questions, DevOps Interview Questions, Digital Marketing Interview Questions, Django Interview Questions, Dot Net Interview Questions, Drupal Interview Questions, Ember.js Interview Questions, Flutter Interview Questions, Hadoop Interview Questions, HR Interview Questions, Interview Tips, Joomla Interview Questions, Laravel Interview Questions, Machine Learning Interview Questions, Magento Interview Questions, Microsoft Azure Interview Question, MongoDB Interview Questions, MySQL Interview Questions, Node.js Interview Questions, Oracle Interview Questions, Phalcon Interview Question, PHP Interview Questions, PL/SQL Interview Questions, Power BI Interview Questions, Project Management Interview Questions, Pure.CSS Interview Questions, Python Interview Questions, Quality Assurance Interview Questions, R Interview Questions, React Native Interview Questions, Selenium Interview Questions, SEO Interview Questions, Software Testing Interview Questions, SQL Interview Questions, Swift Interview Questions, Tableau Interview Questions, Vue.js Interview Questions, Web Development Interview Questions, Web Services Interview Questions, WordPress Interview Questions
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eklavya online interview questions
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A smarter Wisdom Chian is coming


Foreword: A recent Wisdom Chain announcement indicated that the Prometheus upgrade was completed and the Ocean Network was officially launched.Simply put, Wisdom Chian combines smart contracts to make Wisdom Chian more flexible and intelligent. Today we'll look at the smarter Wisdom Chian.
What is the smart contract?
The term smart contract dates back at least to 1995 and was coined by Nick Szabo, a prolific cross-disciplinary legal scientist.
The so-called "contract" records the conditions that occur and the corresponding terms of execution to support actions such as affirmation of rights; the so-called "smart" means automation and programmability.
Therefore, a smart contract is a programmable contract, which can also be interpreted as an automatically executed clause contract. In a computer, it is an automatically executed program fragment.It is easier to save the contract, and runs by a deterministic algorithm. Given the input, the corresponding output is obtained, which greatly guarantees the execution of the contract.
How does a smart contract work?
Many block chain networks use smart contract functions similar to vending machines.Analogue between smart contract and vending machine: If you transfer a bitcoin or other encrypted currency to the vending machine (similar to ledger), it will automatically perform the obligations agreed upon by both parties once the input meets the requirements of the smart contract code.
For example, "If A completes Task 1, then payments from B are transferred to A."Through such protocols, smart contracts allow various asset transactions, and each contract is copied and stored in a distributed book.In this way, no information can be tampered with or destroyed, and Data Encryption ensures complete anonymity between participants.
While smart contracts can only be used with the assets of the digital ecosystem, many applications are actively exploring the world outside of digital currency, attempting to connect the "real" world to the "digital" world.
Smart contracts are written and operated logically.As long as the input requirements are met, that is, as long as the code writing requirements are met, the contractual obligations will be enforced in a secure and de-centralized network.
Smart Contracts and Wisdom Chian
From a performance point of view, Wisdom Chian uses a lightweight WDC VM (WDC Virtual Machine) as the execution environment for its smart contracts. It starts very fast, takes little resources, and centralizes the instructions of the WDC virtual machines, providing a series of cryptographic instructions to optimize the execution efficiency when cryptographic algorithms are used in smart contracts.In addition, data manipulation instructions directly support arrays and complex data structures.These will improve the performance of WDC smart contracts.
Languages supported by Wisdom Chian Smart Contracts
The Wisdom Chain smart contract is a virtual machine based on WebAssembly byte codes, so the language supported is AssemblyScript, which will be supported later on: C#,VB.Net, F#, Java, KotlinPython.C, C++, GO, JavaScript, etc.
Supported by multiple high-level languages, more than 90% of developers can participate in the development of Wisdom Chain smart contracts without learning a new language, or even migrate code from existing business systems directly to the block chain.This will greatly increase the overall popularity of Wisdom Chain.
submitted by Frosty_Gene_7770 to u/Frosty_Gene_7770 [link] [comments]

A smarter Wisdom Chian is coming

A smarter Wisdom Chian is coming
Foreword: A recent Wisdom Chain announcement indicated that the Prometheus upgrade was completed and the Ocean Network was officially launched.Simply put, Wisdom Chian combines smart contracts to make Wisdom Chian more flexible and intelligent. Today we'll look at the smarter Wisdom Chian.
What is the smart contract?
The term smart contract dates back at least to 1995 and was coined by Nick Szabo, a prolific cross-disciplinary legal scientist.
The so-called "contract" records the conditions that occur and the corresponding terms of execution to support actions such as affirmation of rights; the so-called "smart" means automation and programmability.
Therefore, a smart contract is a programmable contract, which can also be interpreted as an automatically executed clause contract. In a computer, it is an automatically executed program fragment.It is easier to save the contract, and runs by a deterministic algorithm. Given the input, the corresponding output is obtained, which greatly guarantees the execution of the contract.
How does a smart contract work?
Many block chain networks use smart contract functions similar to vending machines.Analogue between smart contract and vending machine: If you transfer a bitcoin or other encrypted currency to the vending machine (similar to ledger), it will automatically perform the obligations agreed upon by both parties once the input meets the requirements of the smart contract code.
For example, "If A completes Task 1, then payments from B are transferred to A."Through such protocols, smart contracts allow various asset transactions, and each contract is copied and stored in a distributed book.In this way, no information can be tampered with or destroyed, and Data Encryption ensures complete anonymity between participants.
While smart contracts can only be used with the assets of the digital ecosystem, many applications are actively exploring the world outside of digital currency, attempting to connect the "real" world to the "digital" world.
Smart contracts are written and operated logically.As long as the input requirements are met, that is, as long as the code writing requirements are met, the contractual obligations will be enforced in a secure and de-centralized network.
Smart Contracts and Wisdom Chian
From a performance point of view, Wisdom Chian uses a lightweight WDC VM (WDC Virtual Machine) as the execution environment for its smart contracts. It starts very fast, takes little resources, and centralizes the instructions of the WDC virtual machines, providing a series of cryptographic instructions to optimize the execution efficiency when cryptographic algorithms are used in smart contracts.In addition, data manipulation instructions directly support arrays and complex data structures.These will improve the performance of WDC smart contracts.
Languages supported by Wisdom Chian Smart Contracts
The Wisdom Chain smart contract is a virtual machine based on WebAssembly byte codes, so the language supported is AssemblyScript, which will be supported later on: C#,VB.Net, F#, Java, KotlinPython.C, C++, GO, JavaScript, etc.
Supported by multiple high-level languages, more than 90% of developers can participate in the development of Wisdom Chain smart contracts without learning a new language, or even migrate code from existing business systems directly to the block chain.This will greatly increase the overall popularity of Wisdom Chain.
submitted by Wisdom_Chain to u/Wisdom_Chain [link] [comments]

A smarter Wisdom Chain is coming

Foreword: A recent Wisdom Chain announcement indicated that the Prometheus upgrade was completed and the Ocean Network was officially launched.Simply put, Wisdom Chian combines smart contracts to make Wisdom Chian more flexible and intelligent. Today we'll look at the smarter Wisdom Chian.
What is the smart contract?
The term smart contract dates back at least to 1995 and was coined by Nick Szabo, a prolific cross-disciplinary legal scientist.
The so-called "contract" records the conditions that occur and the corresponding terms of execution to support actions such as affirmation of rights; the so-called "smart" means automation and programmability.
Therefore, a smart contract is a programmable contract, which can also be interpreted as an automatically executed clause contract. In a computer, it is an automatically executed program fragment.It is easier to save the contract, and runs by a deterministic algorithm. Given the input, the corresponding output is obtained, which greatly guarantees the execution of the contract.
How does a smart contract work?
Many block chain networks use smart contract functions similar to vending machines.Analogue between smart contract and vending machine: If you transfer a bitcoin or other encrypted currency to the vending machine (similar to ledger), it will automatically perform the obligations agreed upon by both parties once the input meets the requirements of the smart contract code.
For example, "If A completes Task 1, then payments from B are transferred to A."Through such protocols, smart contracts allow various asset transactions, and each contract is copied and stored in a distributed book.In this way, no information can be tampered with or destroyed, and Data Encryption ensures complete anonymity between participants.
While smart contracts can only be used with the assets of the digital ecosystem, many applications are actively exploring the world outside of digital currency, attempting to connect the "real" world to the "digital" world.
Smart contracts are written and operated logically.As long as the input requirements are met, that is, as long as the code writing requirements are met, the contractual obligations will be enforced in a secure and de-centralized network.
Smart Contracts and Wisdom Chian
From a performance point of view, Wisdom Chian uses a lightweight WDC VM (WDC Virtual Machine) as the execution environment for its smart contracts. It starts very fast, takes little resources, and centralizes the instructions of the WDC virtual machines, providing a series of cryptographic instructions to optimize the execution efficiency when cryptographic algorithms are used in smart contracts.In addition, data manipulation instructions directly support arrays and complex data structures.These will improve the performance of WDC smart contracts.
Languages supported by Wisdom Chian Smart Contracts
The Wisdom Chain smart contract is a virtual machine based on WebAssembly byte codes, so the language supported is AssemblyScript, which will be supported later on: C#,VB.Net, F#, Java, KotlinPython.C, C++, GO, JavaScript, etc.
Supported by multiple high-level languages, more than 90% of developers can participate in the development of Wisdom Chain smart contracts without learning a new language, or even migrate code from existing business systems directly to the block chain.This will greatly increase the overall popularity of Wisdom Chain.
submitted by Frosty_Gene_7770 to u/Frosty_Gene_7770 [link] [comments]

Reverse Chance Me: Indian-American Male

Demographics: male, upper middle class, Asian Indian, heterosexual and cisgender, Long Island, New York, high school class of 2021
Intended Major(s): Mathematics
ACT/SAT/SAT II/PSAT: 35 (35E, 36M, 34R, 36S), 1570 (800 math, 770 english, 23/24 essay), 800 math2, 800 chem, 800 physics, 1500 (760 math, 740 english; hopefully i get national merit since I made the cut off)
UW/W GPA and Rank: 4.0UW, 103.96% weighted so far (out of 100%, APs weighted 1.08 and Honors 1.06; I'm not sure what it is out of 5 but everything's been an A or higher so far)
Coursework:
10th: AP World History (4, 99%), AP Computer Science Principles (4, 99%), AP Calculus BC (5, 97%); all other grades except Chemistry (96%) at least 97%
11th: AP Lang (5, 97%), Multivariable Calculus and Linear Algebra (through school, weighted as an AP, 98%; I get college credit from a state university for taking this), AP Physics 1 (5, 98%), AP United States History (5, 99%), AP Computer Science A (5, 100%), AP Statistics (self-studied, 5); all other grades 97% or higher
the above courses were taken through school, but I enrolled as a non-matriculated undergraduate student through the same state university that's giving me college credit for high school multi to take the following courses in Fall 2019 and Spring 2020 respectively:
"Logic, Language, and Proofs" (basically introduced me to the language of mathematics and abstract proof construction, etc.) (A+), Introduction to Real Analysis (third-year undergraduate course, probably) (A+)
12th: (incoming senior) AP Lit, Differential Equations (through school, weighted as an AP; I get college credit from a state university for taking this), AP Physics C (I don't know which yet but probably E/M), AP US Gov, AP Micro, AP Spanish Lang
the above courses are going to be taken through school, but I enrolled as a non-matriculated undergraduate student through the same state university that's giving me college credit for high school diffeq to take the following courses in Summer 2020, Fall 2020, and Spring 2021 respectively:
Applied Complex Analysis (well, I actually just finished this course, so I got an A), Advanced Linear Algebra, Analysis in Several Dimensions
like 12 APs in total by the end of senior year; I have taken the most rigorous courses available + courses at college
Awards:
AIME Qualifier (missed the USAMO cutoff by one AIME question's worth of index points, oops), HMMT/PUMaC awards
President's Volunteer Service Award, Gold (by the end of senior year, I should have lifetime ~650-675 volunteer hours): 3-time winner, 10th, 11th, and (expected) 12th
AP Scholar (I don't remember which though I have it on my application, but based on the scores I have, you can figure it out if you need to), Commended PSAT Scholar
UNSCO Qualifier, USAPhO Qualifier, USACO Silver
Regeneron Semifinalist, Scholastic Silver Writing Award (this was like 2-3 years ago, I don't remember much about it)
Essays:
they're actually coming on really good so far, not done writing though
Letters of Recommendations: my multi/diffeq teacher (really epic), my physics 1/c teacher (pretty good), my counselor (really good); additionally, I'm considering getting one from my principal (he first set me up to take the college math courses because he's an adjunct professor at the university I took courses at, so it should be cool), and a Princeton dude (see below for more explanation; he also used to mentor me before I started doing research)
Extracurriculars/Leadership Roles:
Science Olympiad (have won state medals before), Math Team (treasuresecretary 12th, top scorer in county-wide mathematics tournaments), Coding/CS Club (treasurer 11th, vice president 12th), National Honor Society, DECA (have qualified for the national-level competition, ICDC), did Model UN (but stopped after 10th, so probably won't put this on)
treasurer of our school's science research program from 2018 (personally offered this position by the director of the program) to when I graduate from high school in 2021
information technologist for a science education nonprofit
formerly unpaid teacher assistant (now paid 'intern'; my position got renamed because I've started doing more than just TAing) at a weekend mathematics enrichment program I used to attend when I was younger; I just set up and now own/manage the program's Discord as well as helped implement a grading system for the students on Google Classroom during the transition from real-life classes to online, Zoom classes due to COVID-19
CTO of a startup digital advertising business I co-founded with my friend (I personally made just under $15,000 so far, but the business's net worth is about $40,000)
in July 2018, I attended a summer program that related to computer science, electrical engineering, and informatics; we learned several skills such as programming Python (including NumPy, Matplotlib, and Pandas) in the context of physical engineering concepts and the Raspberry Pi; I engineering a program comparable to the widespread arcade game “Wheel of Fortune”
hospital volunteer (transporter, a large source of my volunteer hours)
Bitcoin/general cryptocurrency trademiner, I've set up several ASIC miners and studied their stock trends to optimize the amount of money I make from them, although I put a hold on this activity when crypto started dying again
10-year piano player (stopped in 9th grade though, but I went to state-level festivals and got perfect scores on my performances), 5-year viola player (planning to qualify for the state festival this year), JV Tennis (memes), 7-year soccer player (stopped after 9th grade, though)
also I'm probably not gonna put this on my application, but out of enjoyment, my friend and I conducted a satire analysis on our in-class chemistry performance through research, usage of spreadsheet/database applications, and Python’s machine learning modules; essentially, we collaborated on our mutual objective for his project in that we sought to “predict” when our grades would drastically fall, and a psychological explanation as to why we, somewhat academically-oriented students, tend to make the most drastic shortcomings when it comes to in-class performance ( used long short-term memory in the structures of recurrent neural networks which served as a model for Keras, a Python deep learning API, to make a grade prediction based on learning the ups and downs of our previous grades)
not sure if this counts for anything, but in May of 2012, in a Nassau County-based competition that I took against high schoolers double my age at the time, I won first place for the highest amount of problems correct so that's pretty cool I guess
finally, I've done over-the-summer online research under the guidance of a postdoctoral researcher in mathematics I got the contact of during a visit to Princeton University (did his doctoral thesis under the mentoring of Terence Tao, a world-renowned Fields Medal recipient)
Other life circumstances:
recovering narcotics addict (I had an injury while playing soccer in the spring of 9th grade and got hooked for a year after I didn't need them anymore), violent/alcohol-ridden home situation; I've had some issues with mental health in 9th and early 10th grade but I think I'm doing better now yay

I really wanna make it into some kind of Ivy/T20 kinda school, but I'm open to any suggestions as to where I stand in college admissions. Also, because I took all those college math courses, I got permission from the undergraduate director of mathematics to transfer those into credits for a bachelor's degree at that state school, so I can graduate two years early (2023 instead of 2025) if I get accepted and enroll there as a full-time student.
I'd really appreciate any help! Thanks!
submitted by mesmore to chanceme [link] [comments]

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Bitcoin Price Prediction In 10 Minutes Using Machine Learning Bitcoin price Prediction using Tensor flow (Python) integrated with MATLAB Bitcoin Price Prediction Using Machine Learning  SVM predicción del Bitcoin con Python + machine learning ... Tutorial: How to Predict Bitcoin Price with Machine Learning

In this project, we attempt to apply machine-learning algorithms to predict Bitcoin price. For the first phase of our investigation, we aimed to understand and better identify daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price. Our data set consists of over 25 features relating to the Bitcoin price and payment network over the course of ... Python. So let’s get start using machine learning to predict the value of bitcoin. I am going to use python with its Sklearn library to help us out. I uploaded a CSV and JSON file of the daily bitcoin prices from April 2013 to January 2018. You can use whichever you like, but for this example, I am going to use the CSV file. Below is my ... Bitcoin price prediction using machine learning Abstract: In this paper, we attempt to predict the Bitcoin price accurately taking into consideration various parameters that affect the Bitcoin value. For the first phase of our investigation, we aim to understand and identify daily trends in the Bitcoin market while gaining insight into optimal features surrounding Bitcoin price. Our data set ... Quantitative Finance with Python, Applied Risk Management, and Cryptocurrency AI Trading. How to Predict Bitcoin Price with Deep Learning LSTM Network: (1) The Benchmark Model . April 1, 2020 by Pawel. You can’t predict the future unless you have a crystal ball but you can predict an asset’s trading price in next time step if you have a right tool and enough confidence in your model. With ... These are all the machine learning libraries in Python which are considered to be in the top list of machine learning experts and data scientists. All these libraries are worth looking and can tried at least once. Of course, there are many other machine learning libraries available which are also worthy and deserves a special attention. For ...

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Bitcoin Price Prediction In 10 Minutes Using Machine Learning

In this quick tutorial, we'll see how price prediction of Bitcoin or any other cryptocurrency can be done with LSTM networks in Python using Tensorflow and K... #bitcoin #prediction #bitcoinpriceprediction This video deals with Predicting Bitcoin Prices with Deep Learning, Using Neural Networks to Forecast Bitcoin Prices Not too long ago, we used Machine ... Source Code : https://imojo.in/2s2v2xi In this tutorial I will show you how to build your own Python program to predict the price of Bitcoin (BTC) for next 30 day's using a machine learning ... Bitcoin Price Prediction using Tensor Flow(python) used with MATLAB . A deep learning program for highly accurate prediction . This program is tested for 3 weeks . este es un código escrito para predecir el valor del Bitcoin utilizando Python + machine learning + google colab. el código es 100 % modificable con las vari...

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