hide. We decided to test drive Quantopian and QuantConnect as objectively as possible and see which one we liked more. I’d recommend checking out the forums. Quantopian and Quantconnect are companies offering a service and expecting to make a profit. Community. Sign up now! If the platforms (source code + on-line backtesting for example) they offer are "gratis", it it because the business plan behind the companies has it as an expense which will be compensated by other means. anyone with experience on both? RobustTechHouse (MMPS Technologies Pte Ltd) 11 Keng Cheow Street #03-06 Singapore, Singapore 059608 Phone: +65 97480484. 2. Both Quantopian and Uqer.io provide Python programming environment while QuantConnect allows C++ and other languages. Time Taken To Build Simple Momentum Strategy, Primer to Design Thinking – Designing Products That People Want, https://www.quantopian.com/posts/system-based-on-easy-volatility-investing-by-tony-cooper-at-double-digit-numerics, https://www.quantopian.com/posts/etf-market-rotation-strategy, https://www.quantopian.com/posts/olmar-3-dot-0-using-new-order-and-history-features, https://www.quantopian.com/posts/olmar-implementation-fixed-bug, https://www.quantopian.com/posts/spy-and-sh-minute-data, Fintech Becomes Far Easier With Intuitive Software, RobustTechHouse featured by Singapore Finest, RobustTechHouse featured by Best Singapore, Equities: US Only since 1998. The very very nice ability to share strategies and clone existing strategies written and discussed in the community forums into our workspace for us to w… Language Support • Quantopian is a Python based platform and sticks to it. Yes. I’m ready to start applying strategy to code, and I prefer python. save. Quantopian provides free education, data, and tools so anyone anywhere can pursue their goals in quantitative finance. If we were to choose one right now, we would have slight preference for Quantopian. ms778834 Posts: 28. 0. Tried the simulation twice and in both cases at the 20 minutes mark, the simulation was only half done (completed 5 years so far).I was under the impression QuantConnect’s C# based platform should be faster than Quantopian’s Python based platform. If you need long-term storage of your logs and don't want to overflow the console, consider using self.Log () instead. The file attached is the code which is working in Quantopian. If we want to use a bit of machine learning, we would use convenient Python quant trading libraries like SKlearn. This was weird. I receive a check in the mail every quarter. You can see a whole lot of them mentioned in following links: http://www.quantstart.com/articles/Choosing-a-Platform-for-Backtesting-and-Automated-Execution. 57% Upvoted. 1. Here are some differences based on my experience: Both platforms are amazing. Robust Tech House takes a look at the differences and similarities between Quantopian and QuantConnect. We spend roughly 4 hours on each platform to figure out how to build and debug our momentum strategy which came to somewhere between 50-100 lines of code. If you want help we can review your implementation. Every contribution to the engine is expected to be covered with unit tests and thoroughly live-tested before being rolled out, which is a great contributor to engine's stability. Wow! Share Share on Twitter Share on Facebook Share on LinkedIn Hi, If anyone is able to transpose an algo from Quantopian to Quantconnect, I need help transposing my algo as my coding skills are not the best. Quantopian offers access to deep financial data, powerful research capabilities, university-level education tools, a backtester, and a daily contest with real money prizes. February 2017 edited March 2017 in Onboarding Help. Is there a third or fourth option I haven’t heard about? Then came a few open sourced community provided platforms that saved us some work. Human Resource: Click here to send us an email. We will check out all these info you mentioned. I’d highly recommend checking them out as math libraries really aren’t a factor here IMHO. I know Quantopian doesn’t offer live trading anymore, which is a bummer, but I like the goal of the allocation as motivation. Hi everyone, unfortunately, Quantopian is shutting down, so I would like to provide an alternative.I've personally started with Quantopian, however, I could not figure it out (possibly due to my lack of Python knowledge), so I later tried QuantConnect and found greater success, as they have a BootCamp and free Udemy Course that holds your hand through their platform. Amongst the many available, it seems to me the most prominent 2 lately seems to be Quantopian and QuantConnect. The in-browser IDE provided by both Quantopian and QuantConnect. Debug output is viewable via the QuantConnect Terminal Console. Many years ago, one needs to build their own back-testing frameworks from scratch using languages like Matlab, R, .NET, Java etc. The open source community is already exploring these and building them privately . Pleased with the results of my trading strategy, backtested from Jan 2016, executed by an automated trading bot I coded in Python. QuantConnect | 2,219 followers on LinkedIn. Revolutionizing the financial industry with an open, decentralized algorithmic trading infrastructure. we wish we had both Quantopian and QuantConnect to choose from years ago. Close. QUANDL_API_KEY= zipline ingest -b Lean QuantConnect engine vs freqtrade; Quantopian Zipline; Zipline Quantopian engine. Quantconnect or quantopian? Archived. What are the main differences and advantages? If I don’t plan on live trading actual capital for several years anyway, is Quantopian still viable? Your suggested code modifications sound amazing in terms of achieving greater backtesting efficiency and additional improvements. Thanks v much. Key features: Event-driven backtesting using Python; 1-minute US stock data included; Support for equities and futures; Integrated support for related Quantopian open-source libraries including Alphalens, Pyfolio, and QGrid ; Live trading with QuantRocket-built adapters. It is sophisticated in terms of the fact that you can write your algo-trading strategy from the cloud (ChromeOS anyone?) Securely hosted with professional grade infrastructure and data feeds . Just some fact corrections for the article: – QuantConnect supports FX already and can support many asset classes including futures. If we were to choose one right now, we would have slight preference for Quantopian because: Both teams have done amazing jobs. I just discovered QuantConnect ( https://www.quantconnect.com ), and I wanted to compare it to Quantopian: Securities: Quantopian = US equities QuantConnect = US equities , Forex Majors Historical Tick Data: Quantopian = Minute (back to 01/03/2002) QuantConnect = Minute, Second (back to 01/01/1998) Live Trading: Quantopian = Interactive Brokers, E-Trade QuantConnect = Interactive … 80% Upvoted. save. Execute on one of the 7 supported brokerages or by paper trading. and deploy it from there. Go long small amount of the stock if its price now is higher than 15 minutes ago. share. First of all, we must say we are very impressed by: 1. Support / zipline #1980. posted . Is there anyone who ported their algorithm(s) from Zipline/Quantopian? 1 1 11. comments. You write a quantitative trading strategy using our open source python backtesting platform. Output to the console via self.Debug () is rate-limited. Here are some comment highlights http://quantlabs.net/blog/2017/03/how-do-numerai-quantconnect-quantiacs-and-quantopian-compare/ Eg we found these interesting: Quantconnect is a worthy Quantopian competitor. Here are some suggestions for both: Hope you enjoyed our Quantconnect vs Quantopian review ! Quantiacs hosts the largest quant algorithmic trading competitions in the investment algorithm market. And now there are numerous platforms that are beginning to democratize quant strategy research and make it easily accessible to everyone who is interested to participate. QuantConnect is more broad and supports over 5 languages, but in essence only offers tutorials and support for c#. Halfway through coding up strategy on QuantConnect. I would love to have a comparison of both APIs, as the CloudQuant's one is very different and the documentation here is quite poor - isn't there a one-to-one compilation of API calls … Reddit has very honest people. Finally the data gets loaded from Google document which is also needed which works a fetchdata in Quantopian. Not going to make us much money but simple enough to code up and generates a fair bit of trading activity to stress test the back-testing platform at the 1 minute frequency. QuantConnect and Uqer.io offer relatively better and more various data. the popular backtester that powers Quantopian. Brought to you by RobustTechHouse. We have all seen how different returns of the same algos are just from swithcing from Quantopian to QuantConnect. The community around it is great and consists of many talented people. 6 supported asset classes: Equities, Futures, Options, Forex, CFD, and Crypto. For someone with some development experience, the IDEs were very easy to pick up and understand. But once you get into more complex strategies, I found that number of lines of code being about the same. I’m ready to start applying strategy to code, and I prefer python. Quantopian’s users have to write their code in Python (based on Zipline.IO library) while QuantConnect’s users have to write their code in C#. We aim to be the leading Tech House in Asia. It looks like your algorithm actually has a run-time error (red triangle). Save my name, email, and website in this browser for the next time I comment. We build innovative, next-generation systems for startups, enterprises and government entities. report. We are Web, Mobile App, Chatbot and Blockchain development specialists, passionate about developing robust solutions for our clients. We connect it to capital. Hey fellow quants! http://www.quora.com/Algorithmic-Trading/What-do-professional-traders-think-about-Quantopian, http://www.quora.com/Which-of-the-currently-free-algorithmic-trading-platforms-Quantopian-and-QuantConnect-is-better-Why, http://www.quora.com/Algorithmic-Trading/What-are-competitors-to-Quantopian. Needed to rewrite a Python strategy in QuantConnect platform using their libraries. Which is the better platform I should choose as I’m just getting started here. They are very deep and stable. Maybe my strategy implementation was very inefficient or leaked memory somehow? We handle everything so you can focus on your strategy development. Development quality. Thought should be QuantConnect but Quantopian was faster?Someone else can benchmark for me and let me know what you find, Yes through Tradier, Interactive and others. hide. We liked the strategies discussed by the Quantopian a bit better. Quantopian provides capital to the winning algorithm. Mozido to use SimplyTapp’s HCE technology to bolster payment platform. Quantconnect uses C# (is expanding to other languages). – QuantConnect also has all the community posts and blog articles you mentioned above and more! Please drop us a note for any enquiries and we'll get back to you, asap. We are old school and nostalgic – Quantopian’s reminded us of our old emacs editor while QuantConnect’s reminds us of our Visual Studio days. Their platform was built using C#, and users have the options to test algorithms in multiple languages, including both C# and Python. These definitely helped ease the learning curve. I find both Quantopian and AmiBroker code easy to follow. Quantopian vs Quantconnect. report . For simple strategies, it takes about 20 lines of code in Quantopian vs 5 lines in AmiBroker. Really look forward to longer histories and more asset classes like Futures, FX and options etc. share. Kaydolmak ve işlere teklif vermek ücretsizdir. Quantopian vs QuantConnect Review. Anybody here use either of these? Regarding your points above: Rolling … QuantConnect in US market and Uqer.io in China. We are old school and nostalgic – Quantopian’s reminded us of our old emacs editor while QuantConnect’s reminds us of our Visual Studio days. Quantopian is a free online platform and community for education and creation of investment algorithms. 4.7k, Mark Reeve: Welcome to the discussion and thanks a lot for joining in! Posted by 2 years ago. The in-browser IDE provided by both Quantopian and QuantConnect. As to which code is easier to write and read, that is a personal preference. http://www.quora.com/Quantitative-Finance/What-are-the-advantages-and-disadvantages-of-Quantopian-v-Quantconnect. The very very nice ability to share strategies and clone existing strategies written and discussed in the community forums into our workspace for us to work off. We have comparable experience in both languages. First of all, we must say we are very impressed by: For our test-drive, we decided to implement a toy and naïve intraday momentum strategy over 5 randomly selected US stocks at 1 minute frequency over 10 years back-test period. There is also Quantiacs — they are the only company of this type with an actual hedge fund product on the market, and therefore they are the world’s first crowdsourced hedge fund. QuantConnect is a more sophisticated platform with cloud capability and live trading. We look forward to your messages. Py. – QuantConnect has version control tagged to each backtest, so you can clone an algorithm from a specific backtest. Very fair points. If I don’t plan on live trading actual capital for several years anyway, is Quantopian still viable? I don’t use Quantopian anymore because they wanted me to assign over exclusivity of my IP over to them, and I don’t trust them. Is the transfer of code from quantopian to quantconnect simple or tedious? This article was inspired by the discussions at the following post. FX Majors: since 2007, Not available yet but I believe should be soon. 4 - 3 7. Please also check the csv file in Google document. Tried twice and both took 16 minutes to complete. Both have engines that they open sourced (ZipLine and Lean Engine). QuantConnect is an open-source, cloud-based algorithmic trading platform for equities, FX, futures, options, derivatives and cryptocurrencies.QuantConnect serves over 100,000 quants from 170+ countries, with customers including hedge funds and brokerages, as well as individuals such as engineers, mathematicians, scientists, quants, students, traders and programmers. We provide Fintech Development services. In QuantConnect, the self.Debug () method is the equivalent of the log.info () function in Quantopian. Email: [email protected] Please sign in or join Quantopian to post a reply. I have intermediate experience with trading and python and will be using Interactive Brokers. It is the most matured and developed platform aside from Quantopian that does not allow live-trading anymore. Thanks for the great write up Robust Tech House! But in conversion one has to know the corresponding libraries to be used. Will pay for your time. This thread is archived. I haven’t seen any articles comparing the two platforms. A desktop application (NinjaTrader) is being mixed with a do-it-yourself open source Python solution (backtrader) and 3 online-hosted platforms (Quantopian, Quantiacs and Tradingview) Own scripting language (NinjaTrader) vs a general purpose language with bindings (or built-in DSL-in-Python) for backtesting and trading of the others: Python New comments cannot be posted and votes cannot be cast. Peter Guenther. Is there any option that still allows live trading on Robinhood. The reason i used it was because at one time it was better at intraday trading than quantopian but that's changed now. Please strategy development - top of the well-established here it is quantopian Crypto trading … Would be nice if they support version control of strategies so we can easily compare current version of the strategy implementation with the previous one, in terms of both code differences and key profitability metrics. We are not affiliated to either of them. Callcredit partners with Trulioo to power AML/KYC … I just found it much more finicky to use than quantopian. Both Quantopian and QuantConnect had wonderful in browser IDE and help like intellisense. 4 comments. Brandon Egger. For someone with some development experience, the IDEs were very easy to pick up and understand. CloudQuant API vs. Quantopian API. Here it is a matter your preference between Python and C#. Quantopian to quantconnect ile ilişkili işleri arayın ya da 18 milyondan fazla iş içeriğiyle dünyanın en büyük serbest çalışma pazarında işe alım yapın. Quantopian to Quantconnect. I am making money from my algo on Quantiacs. Quantconnect vs Quantrocket which to choose. ... QuantConnect, is another platform that provides an IDE to both backtest and live-trade algorithmically. This thread is archived. Tibco updates Live Data Mart software with embedded predictive analytics and support for the internet of things (IoT) and in-memory data-grid technology. – Our basic template benchmarks are 15x faster than Quantopian; that is the best point of comparison and is independent of any user algorithm implementation. You profit. Easily deploy your strategies to QuantConnect's collocated live trading environment. Sort by. QuantConnect's team is quite active and helpful in their slack, including Jared, the CEO. I know Quantopian doesn’t offer live trading anymore, which is a bummer, but I like the goal of the allocation as motivation. So in terms of learning curve and productivity, honestly, we thought it was really quite comparable. It has a much less active community and it does cost money to live trade, however unlimited backtests are still free. This means the strategy never goes short any stocks and just trades in and out of its positions and toggles quickly between being long and being flat. Full Disclosure: I currently head Operations at Quantiacs and have also used Quantopian extensively. Quantconnect or quantopian? – We have open-source math libraries (http://www.mathdotnet.com/) like MathNet.Numerics, MathNet.Filtering and AForge. And AmiBroker code easy to follow your preference between Python and will be using Interactive Brokers to other )... Financial industry with an open, decentralized algorithmic trading infrastructure does cost money to live,. Comments can not be posted and votes can not be cast 's collocated live trading actual capital several. And AmiBroker code easy to follow corresponding libraries to be Quantopian and QuantConnect to choose one right,! 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Mart software with embedded predictive analytics and support for the great write up robust Tech House takes look. A quantitative trading strategy, backtested from Jan 2016, executed by an automated trading I. Trading environment Options, Forex, CFD, and I prefer Python 11 Keng Cheow Street 03-06... Data, and I prefer Python not available yet but I like the goal the!, email, and Crypto has to know the corresponding libraries to be the leading Tech!! Using our open source Python backtesting platform which one we liked more viewable via QuantConnect...