A Beginner's Guide to Cryptocurrency Trading Strategies
Proposed framework for crypto asset trading | Gowling WLG
Crypto AlgoTrading Framework - GitHub
Vantage Point Trading | Crypto – Is It Safe to Trade It
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ETH discussion board with a focus on ETH and ETH tokens. Alt-talk only if it is highly relevant for the current price. No FUD, No Hype, No Spamming. Thank you!
An intelligent platform to manage, invest, trade and spend cryptoassets
Midas Protocol is an intelligent platform created for crypto-traders, from newbies to experts. We aim to be the smartest universal wallet for all essential crypto needs, from safekeeping, intelligent trading, portfolio management, easy conversion to fiat and spending of cryptocurrencies. More info on Midas Ecosystem: https://blog.midasprotocol.io/birds-eye-view-of-midas-ecosystem/
GoatFish a bot framework for leveraged crypto trading
So I wanted to get into algo-trading last year, more specifically in crypto, but I didn't want to simply spot buy and sell crypto assets, imo those markets lack liquidity, and liquidity is king So I decided to build a bot for leveraged trading of Bitcoin. Long story short, I saw a gap in the market: no one had built a bot framework for leveraged trading in crypto. So thats just what Ive been doing in my free time over the past year, and since it's almost done. I think now is the time for fellow enthusiast to take a look and rip it apart. A bit of context, on what the tool does and is: Background GoatFish is meant to be an infrastructure that allows you to dynamically run custom code in a vacuum (a docker container). while taking care of all the other elements of algotrading for you. All the streaming information from the exchange, all the order setting, backtesting, paperTrading.... is carried out an an application layer and the user doesn't have to worry about it. Exchanges Currently it only supports Bitmex, but it is structured to be able to add any an all exchanges a user may want to add with very little effort(as long as its leveraged trading). Strategies All you need to deploy a strategy is:
A bot name
A unique set of API keys
A strategy, which can come in the form of a single file or several folders
A preferred exchange
A preferred timeframe [defaults to all timeframes if not specified]
This information will then be used to keep track of all your positions all of your orders and automatically connect the strategy to the chosen exchange, and submit/cancel/ammend orders when necessary. Additionally the bot functionality allows you to dynamically switch between actions. A bot can just as easily:
livetrade
papertrade
backtest
stop
Analytics The application provides real time analytics and scoring your strategies against each other. Progress As it stand the application is a series of dockerised endpoints that communicate through kafka. They each all work together and individually to deploy and run strategies. How ever usage at the moment is limited o how knowledgable you are of the endpoints and their use, so I will be starting the development of a CLI with accompanying documentation to make it more accessible. Im also very much aware the code is not perfect, but it does fairly well, a test strategy has been running a trade/min for the last 22 days with out any downtime. That being said I know it can be very much improved and welcome any and all suggestions. Oh and ofc it's open sourced! Here you have the link: GoatFish
GoatFish - A bot framework for leveraged crypto trading
So I wanted to get into algo-trading last year, more specifically in crypto, but I didn't want to simply spot buy and sell crypto assets, imo those markets lack liquidity, and liquidity is king So I decided to build a bot for leveraged trading of Bitcoin. Long story short, I saw a gap in the market: no one had built a bot framework for leveraged trading in crypto. So thats just what Ive been doing in my free time over the past year, and since it's almost done. I think now is the time for fellow enthusiast to take a look and rip it apart. A bit of context, on what the tool does and is: Background GoatFish is meant to be an infrastructure that allows you to dynamically run custom code in a vacuum (a docker container). while taking care of all the other elements of algotrading for you. All the streaming information from the exchange, all the order setting, backtesting, paperTrading.... is carried out an an application layer and the user doesn't have to worry about it. Exchanges Currently it only supports Bitmex, but it is structured to be able to add any an all exchanges a user may want to add with very little effort(as long as its leveraged trading). Strategies All you need to deploy a strategy is:
A bot name
A unique set of API keys
A strategy, which can come in the form of a single file or several folders
A preferred exchange
A preferred timeframe [defaults to all timeframes if not specified]
This information will then be used to keep track of all your positions all of your orders and automatically connect the strategy to the chosen exchange, and submit/cancel/ammend orders when necessary. Additionally the bot functionality allows you to dynamically switch between actions. A bot can just as easily:
livetrade
papertrade
backtest
stop
Analytics The application provides real time analytics and scoring your strategies against each other. Progress As it stand the application is a series of dockerised endpoints that communicate through kafka. They each all work together and individually to deploy and run strategies. How ever usage at the moment is limited o how knowledgable you are of the endpoints and their use, so I will be starting the development of a CLI with accompanying documentation to make it more accessible. Im also very much aware the code is not perfect, but it does fairly well, a test strategy has been running a trade/min for the last 22 days with out any downtime. That being said I know it can be very much improved and welcome any and all suggestions. Oh and ofc it's open sourced! Here you have the link: GoatFish
Crypto Regulation News: US CFTC promises ‘holistic framework’ for digital assets by 2024, The IRS is collecting information for a crypto investigation pilot program, South Korea considers blockchain-run free trade zone, Bank of Japan will begin experimenting with a digital yen
Crypto Regulation News: US CFTC promises ‘holistic framework’ for digital assets by 2024, The IRS is collecting information for a crypto investigation pilot program, South Korea considers blockchain-run free trade zone, Bank of Japan will begin experimenting with a digital yen
Crypto Regulation News: US CFTC promises ‘holistic framework’ for digital assets by 2024, The IRS is collecting information for a crypto investigation pilot program, South Korea considers blockchain-run free trade zone, Bank of Japan will begin experimenting with a digital yen
Crypto Regulation News: US CFTC promises ‘holistic framework’ for digital assets by 2024, The IRS is collecting information for a crypto investigation pilot program, South Korea considers blockchain-run free trade zone, Bank of Japan will begin experimenting with a digital yen
Crypto Regulation News: US CFTC promises ‘holistic framework’ for digital assets by 2024, The IRS is collecting information for a crypto investigation pilot program, South Korea considers blockchain-run free trade zone, Bank of Japan will begin experimenting with a digital yen
Open Source crypto trading bot framework in Python
Hey Reddit. I post for the first time to give away to the community. Years ago when I was still a programmer I decided to have a go at Automated Trading. It was more for the lols as a side project but in the end I got pretty deep in. It was also an excuse for me to start coding in Python. After coding many bots from scratch, I decided to code a more robust "framework" which would allow me to create, test and use new strategies faster. Of course this is not perfect, Python was never my main programming language and I quit coding as a job a few years ago. It probably has some bugs but it is still very much usable. So if some of you want to have some fun bashing my coding skills or who knows, to try it out - even better yet - participate to the project: here it is: https://github.com/Viandoks/python-crypto-bot Remember this is merely a one man job on his free time, and please pretty please, whatever you do don't use the default strategy live! Have fun
Russia may bring good news to the whole crypto ecosystem, legalize crypto trading next week. btc may surge if more traders join in. These laws could be the first step towards a more crypto-friendly legal framework.
Are there factors in addition to those noted in Part 2 that we should consider?
What best practices exist for Platforms to mitigate the risks outlined in Part 3? Are there any other significant risks which we have not identified?
Are there any global approaches to regulating Platforms that are appropriate to be considered in Canada?
What standards should a Platform adopt to mitigate the risks related to safeguarding investors’ assets? Please explain and provide examples both for Platforms that have their own custody systems and for Platforms that use third-party custodians to safeguard their participants’ assets.
Other than issuance of Type I and Type II SOC 2 Reports, are there alternative ways in which auditors or other parties can provide assurance to regulators that a Platform has controls in place to ensure that investors’ crypto-assets exist and are appropriately segregated and protected, and that transactions with respect to those assets are verifiable?
Are there challenges associated with a Platform being structured so as to make actual delivery of crypto assets to a participant’s wallet? What are the benefits to participants, if any, of the Platforms holding or storing crypto assets on their behalf?
What factors should be considered in determining a fair price for crypto assets?
Are there reliable pricing sources that could be used by Platforms to determine a fair price, and for regulators to assess whether Platforms have complied with fair pricing requirements? What factors should be used to determine whether a pricing source is reliable?
Is it appropriate for Platforms to set rules and monitor trading activities on their own marketplace? If so, under which circumstances should this be permitted?
Which market integrity requirements should apply to trading on Platforms? Please provide specific examples.
Are there best practices or effective surveillance tools for conducting crypto asset market surveillance? Specifically, are there any skills, tools or special regulatory powers needed to effectively conduct surveillance of crypto asset trading?
Are there other risks specific to trading of crypto assets that require different forms of surveillance than those used for marketplaces trading traditional securities?
Under which circumstances should an exemption from the requirement to provide an ISR by the Platform be appropriate? What services should be included/excluded from the scope of the ISR? Please explain.
Is there disclosure specific to trades between a Platform and its participants that Platforms should make to their participants?
Are there particular conflicts of interest that Platforms may not be able to manage appropriately given current business models? If so, how can business models be changed to manage such conflicts appropriately?
What type of insurance coverage (e.g. theft, hot-wallet, cold-wallet) should a Platform be required to obtain? Please explain.
Are there specific difficulties with obtaining insurance coverage? Please explain.
Are there alternative measures that address investor protection that could be considered that are equivalent to insurance coverage?
Are there other models of clearing and settling crypto assets that are traded on Platforms? What risks are introduced as a result of these models?
What, if any, significant differences in risks exist between the traditional model of clearing and settlement and the decentralized model? Please explain how these different risks could be mitigated.
What other risks could be associated with clearing and settlement models that are not identified here?
What regulatory requirements (summarized at Appendices B, C, and D), both at the CSA and IIROC level, should apply to Platforms or should be modified for Platforms? Please provide specific examples and the rationale.
Goal of this thread: I'm hoping that people will answer some of these questions in the comments. Even answering one question that you are interested in would be helpful, but don't feel obligated to answer all the questions. Anyone can participate. My hope is that all responses can be aggregated into one document and submitted on behalf of myself or another user to the OSC. If you don't want your reddit username to be included in the aggregated document then please make mention of that in your comment. Less then professional or trolling responses will not be included. If you would like to be the person to put your real name on the aggregated submission to the OSC please feel free to make a throw away account and pm me with your details. UPDATE: I believe this thread got enough positive support to sticky it for the time being and move forward tentatively with faze two. I view this exercise as an opportunity to give the regulators a strong response from the Bitcoin community at large. A growing trend has been "Blockchain experts" being the only participants in this kind of process, so I'm hoping we can change that and add our collective voice to this process. Faze two will involve me drafting an introduction and adding comments posted here to a publicly viewable/but not editable, google doc. I encourage you all to give some thought and consideration to your posts, as low quality posts may be excluded. Please give some thought to punctuation, sentence structure and formatting. The more professional the better. You do not need to answer each question, you can even give a general opinion that does not address any of the questions asked by the regulators. Furthermore, if you do not want your reddit name associated with the submission, please mention this in your post. Lastly, if you are a credible Bitcoin enthusiast or computer science expert and would like to publicly represent the collective comments that are accumulated in this exercise, then please PM me with a throwaway reddit acocunt for next steps.
VeriSafe Development Framework allows you to take part. See the VeriDEX backend Open API SPEC at https://t.co/D49qpNXzX7 . It will be reporting: market stats and support for trading view requests. $VSF $BTC $ETH $KUBO #DEX $ZRX #crypto https://t.co/lH1qpUmmnJ
Sentexchange allows you to take your crypto trading many levels ahead with an overarching framework and far-reaching business model that gives much more to crypto traders. Read More: https://bit.ly/2SggCUY List Now: www.sentexexchange.com
Regulation in crypto might be clamping down hard on crypto exchanges with strict licensing policies, but that won't hinder mass adoption; it makes for a cleaner, secure, and legal framework to encourage transactions and trading for the general public.
Major Indian Trade Organization Speaks Out Against Proposed Crypto Ban. Government should work towards developing a risk-based framework to regulate and monitor cryptocurrencies and tokens
Currency.com – the ultimate cryptocurrency trading platform. At currency.com we bridge the gap between the new world of crypto and real-world financial assets. It’s a place where coin holders can trade broad spectrum of global financial instruments – fast and without fiat. ‘DeFi is not a spectator sport,’ says Framework Labs co-founder Vance Spencer Framework Labs, the sister company of Framework Ventures, has raised $8 million in a new seed round. Station 13, an investment firm focusing on blockchain ventures related to sports, media, and entertainment, led the $8 million fundraising round for Framework Labs. To reduce the risks, they propose to implement restrictions on the trading of crypto assets to exclude dark trading, short selling or the extension of margin to participants. Regulators are seeking input on appropriate market surveillance tools and market integrity requirements to be established in the proposed framework. Clearing and settlement. Automated crypto trading allows traders to recreate manual trading strategies at scale. Once a trader has settled on one or more trading strategies they can input those variables into a framework that allows computers to trade on their behalf. Coin Metrics, a crypto analyst firm, has released a new framework called ‘Trusted Volume Framework’ to evaluate how trustworthy is the trading volume clams made by various exchanges every year. The analysts at Coin Metrics found that only a handful of exchanges, among hundreds, managed to cut when it comes to offering trading volume data.
Building the Framework - AT THE MONEY Trading on NADEX Vol. (2) #TeamAlliance
crypto ethereum bitcoin price prediction btc crypto news best cryptocurrency xrp ... Building the Framework - AT THE MONEY Trading on NADEX Vol. (3) #TeamAlliance - Duration: 8:25. Building the Framework - AT THE MONEY Trading on NADEX Vol. (1) #TeamAlliance. #TeamAlliance. ... crypto ethereum bitcoin price prediction btc crypto news best cryptocurrency xrp bitcoin futures crypto ethereum bitcoin price prediction btc crypto news best cryptocurrency xrp ... Building the Framework - AT THE MONEY Trading on NADEX Vol. (5) #TeamAlliance - Duration: 9:57. Bitcoin has broken $4,400 and continues a steady move back towards ATH's. With Jamie Dimon shredding Bitcoin, Goldman Sachs begins exploring how to trade it. And the legal profession is starting ... This "Cryptocurrency Explained" video will help you understand what is a cryptocurrency, how paper money came into existence, the future of cryptocurrency, f...