Gekko Plus alternatives

Ranked alternatives

1. 1
   
   QuantopianPaid

   Quantopian is an algo trading platform that leverages people’s comprehensive analysis of a wide range of data to extract out potential insights and turn them into action. The platform is allowing freelance quantitative professionals and analysts to have extreme testing, development, and they have trading algorithms in order to buy or sell securities.

   Quantopian has been creating an impact via delivering top-notch tools and libraries that will be helpful for quantitative finance. The platform allows intelligent people from around the world to come and write the alluring algorithms on investment. Moreover, Quantopian has been providing people with the trading capital to trade with based on the monthly contest and via an allocation process for superior quality algorithms.

   Quantopian alternatives
2. 2
   
   QuantraPaid

   Quantra is a robust algo trading platform that comes with the most advancing ways to stabilize your trading strategies. The platform is leveraging professionals to use new trading ideas with the emerging quantitative techniques. The platform is helping you out in exploring various strategy paradigms in the quantitative and algorithmic trading domain, including machine learning, time series forecasting, mean reversion strategy, and much more.

   Moreover, you have the ability to test out your trading strategies with the help of historical data. This will be the key to managing the risk and trade with an automated approach and integration support. Quantra is suitable either for beginners top advanced users in search of alpha strategies and offers a variety of courses and strategy ideas. Moreover, the traders will have the leverage of using python and interactive brokers to automate their processes. Once you are done with this, in no time, you will be able to create the dynamic algorithm, which is then implemented in the live markets via broker connect.

   Quantra alternatives
3. 3
   
   QuantConnectPaid

   QuantConnect is an algo trading platform that is all set to deliver the trading algorithms that will provide you an automated approach to implement your trading strategies. The platform is delivering high-class support to you with its algorithm backtesting tool and financial data that, in turn, will be helpful for the professionals to design algorithms for the trading strategies. Here you can design and test strategies and deploy live right to your brokerage.

   QuantConnect provides a dynamic learning program to potential learners, so they will be able to understand the fundamental algorithmic trading. Get access to the world’s alpha leading market to publish your strategy with the ability to protect your IP. What makes QuantConnect reliable? It is just its capability to execute live algorithms that will mean a lot to deploy strategy to the architecture based on institutional grade live-trading. QuantConnect provides you the ability to get focus on your strategy development via having the luxury of thousands of live-hosted algorithms, supported assets, and multiple supported brokerages.

   QuantConnect alternatives
4. 4
   
   BacktraderPaid

   Backtrader is a complete and advanced python framework that is used for backtesting and trading. The platform comes with the extensive approach to write reusable trading strategies, indicators, and analyzers rather than consuming time on building infrastructure. Backtrader is facilitating you with the build-in support for sources like database sources, interactive brokers, Yahoo Finance, Oanda V1, and more. More importantly, you can get an unlimited number of simultaneous data feeds that can be run at the same time.

   The platform leverage you with the backtesting that will be valuable for the strategy evaluation, and you have the ability to use modify, audit, and share with the GitHub open-source library. There are multiple features for your support that include timeframe mixing, integrated resampling, continuous cash adjustment, custom slippage, fund mode, user-defined commission, a variety of order generation methodologies, a performance analyzer, and many more.

   Backtrader alternatives
5. 5
   
   CloudQuantPaid

   CloudQuant is an advance algo trading data providing platform that is designed for the professional to design and test trading algorithms to automate their strategies. The platform surfaces the real-valued data via with the help of API or excel. With CloudQuant, it is now possible to perform streamlined analysis and integration in just a matter of seconds. The platform is unleashing the potential alternative data to serve financial organizations and B2B clients, whether it be managers, investment researchers, data scientists, and others.

   The platform is making things a lot easier for you in accessing the prospective datasets with unified API having data science tools, excel, and programing languages framework. There impressive feature of this platform is dataset catalog, complete data intelligence, data showcasing, live streaming, historical point-in-time data, access to liberator datasets, and more to add. In short, the platform is equally good for both buyers and sellers, and they will have the leverage of whitepapers, covering everything about the datasets.

   CloudQuant alternatives
6. 6
   
   IntrinioPaid

   Intrinio is a trading platform, providing professionals with the best in class financial market data API and other tools. The platform is streamlining the process of designing algorithms that will be crucial in automating their trading strategies. Intrinio brings high-quality data, and various cutting-edge tools come into play to provide sensational support in providing the data that you need to in your financial data process. The platform allows your businesses to way forward via having a custom solution for their needs that will not match only with their budget but covers all the technical requirements.

   The platform is leveraging teams of professionals and with the authentic data sourcing that in turn provide the global and alternative data. Partnership with Intrinio is like getting consistent support by having a live chat, dedicated customer success manager, technicalities leverage, data sourcing services, data quality assurance team, co-marketing & promotion. Moreover, you have a comprehensive machine, XBRL expertise, and tools in place tailored-made for the specific needs of the developers, analysts, and engineers.

   Intrinio alternatives
7. 7
   
   Streak.worldPaid

   Streak.world is one of the leading algo trading platforms, allowing you to design an algorithm to automate your trading strategies without any coding skills needed. Streak is a platform where things are easier because you have the ability to associate your accounts to send orders. With this alluring platform, the professionals have the ability to strategize every trade and get the right control over your portfolio. The platform provides you benefits like customize your watch lists, technical summary, create algo, live alerts, buy and sell across exchanges, and more to add.

   It does not matter whether you are starting for the very first time or pro; get access to the top-notch strategies created by the team of experts. One unified place and get all the financial data will be transparently available to you. The platform is delivering high-class support to you with its algorithm backtesting tool and financial data. The unique thing about this platform is its simulation that will be the key to have competitive market insights having more than eight exchanges for cryptocurrencies.

   Streak.world alternatives
8. 8
   
   QuantRocketPaid

   QuantRocket is an all-in-one end-to-end data trading platform and is securing your connection to other trading applications that will be the key to query data and submit orders. The platform is providing you strategic software for data-driven traders, so they will be able to research and trade quantitative strategies in the global market courtesy of having a python framework. QuantRocket is all set to deliver the trading algorithms that will provide you with can mechanized approach to implement your trading plans.

   This trading platform features support from data collection to backtesting to live trading and performance tracking. The professionals have the ability to design algorithms and deploy live right to your brokerage. Moreover, QuantRocke is providing ironic support for open-source Python backtesters and, more importantly, use the desired plugin for your backtester that will be possible due to architecture based on modular and microservice.

   QuantRocket alternatives
9. 9
   
   QuantreexPaid

   Quantreex is a futuristic web-based trading platform that comes with the most alluring way to design trading algorithms that will be the key to automate your trading strategies. The platform provides rich data and analysis so you can manage your trade better with a minimum risk involvement as far as your trading strategy is concerned. There is no code involvement whatsoever, just create advance automated trading strategies, and you can backtest, optimize, and trade instruments at the same time courtesy of the technical indicators support.

   The thing that makes Quantreex more superior is its framework which is intuitive and sleek, letting you build strategies in a couple of minutes. Moreover, there is an optimization engine providing you an extravagant approach to backtesting your strategies, covering a variety of instruments and markets. Another important thing about Quantreex is its artificial intelligence and machine learning that means a lot for your discovery process. Furthermore, you have the advantage of a live trading execution engine, executing and monitoring trading strategies in a robotic fashion across various brokers.

   Quantreex alternatives
10. 10
    
    PyfolioFree

    Pyfolio is a world-class python library that is all for the performance and risk analysis for the financial portfolios, working in collaboration with Zipline in order to provide backtesting support. The project is under the supervision of Quantopian, offering completely managed services for engineers.

    The platform is all set to provide an advanced approach to design your algo and automate your trading strategies, having a complete analysis and insights to the forefront. The most valuable thing about this utility is its tear sheet comprising of a variety of personalized plots, providing a comprehensive tracking of the performance of a trading algorithm.

    Pyfolio alternatives
11. 11
    
    AlphalensFree

    Alphalens is a comprehensive python library that is designed for the performance analysis of predictive stock factors. This project works in collaboration with the open-source Zipline backtesting library and Pyfolio that will, in turn, be valuable for providing performance and risk analysis of the financial portfolios. With this, you have the ability to calculate and define the risk factors used to make your portfolio.

    The purpose of Alphalens here is to the most authentic figures and plots related to the alpha-factor that include return analysis, turnover analysis, grouped analysis, and information coefficient analysis. Alphalens is making this extremely easier to design your trading algo for automating your trading strategies having universe selection, single alpha-factor modeling, risk model, portfolio construction, and execution.

    Alphalens alternatives
12. 12
    
    PandasFree

    Pandas is a library written for the Python programming language, used for data manipulation and analysis. The program lets you customize data structures and operations for changing numerical tables. It features a fast and efficient integrated indexing and Data Frame object for data customization. Pandas are equipped with tools like in-memory reding and writing with different formats like MS Excel, CSV, text files, SQL databases, and HDF5 format.

    A notable feature is the handling of missing data that gain automatic label-based data alignment in computations and easily customize unorganized data into an orderly form. You can reshape and pivot large data sets. However, large data sets could be sliced, indexed, and being subset with intelligent labeling.

    Other features are making or deleting columns from data structures and transforming or aggregating data by a grouping engine that allowing split-apply-combine operation on data. You can also merge and join the data sets, index with hierarchical axis, create domain-specific time offsets with time-series functionality, and use academic & commercial domains with Pandas.

    Pandas alternatives
13. 13
    
    SeabornFree

    Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics. It helps you understand and explore your data. The plotting functions are based on arrays and data frames that contain complete datasets. You can internally perform the required statistical aggregation and sematic mapping to make an informative plot. The declarative UI and dataset-oriented API allow you to focus on drawn elements rather than worrying about how to draw them. The tool has specialized support for using categorical variables that shows observation or aggregate stats.

    You have the option for visualizing bivariate and univariate distributions to make a comparison between data subsets. The UI has a convenient view of the complex dataset structures. Other features are High-level abstraction for multi-plot grids, concise control over figure styling, built-in themes, tools for color palettes, and pattern reveals in your data.

    Seaborn alternatives
14. 14
    
    MatplotlibPaid

    Matplotlib is a comprehensive library that used for the Python programming language and provides an object-oriented API for embedding plots via using a general-purpose GUI toolkit into the applications. The software is facilitating developers with the creation of static animated, and interactive visualizations in Python. Metplotlib is making things easier and hard things possible for you with nimble tools that permit a broad range of functions to you.

    The software allows you to develop publication-quality plots with the few lines of code, and you have the full customization option for your line styles, font properties, and axes properties. The platform is offering you higher level plotting interfaces with various third-party packages. Metplotlib’s in-depth documentation is dispensing adequate information that allows you to get through the primary usage of the program and is a cost-effective solution that saves time when it comes to coding a program.

    Matplotlib alternatives
15. 15
    
    Scikit-learnFreemium

    Scikit-learn is a dedicated platform that gives machine learning library and protocol for the Python programming language. It consists of multiple features that give you a variety of classification regression and cluster algorithms that also provide vector machine support and give you random forest or various scientific modulus that comes within the software.

    It has an excellent interface and provides easy integration of multiple languages besides Python. It uses high-performance linear algebra and array operations for integrating and making various apps in the program. It also gives you modules that comes with classification and regression clustering that provides you an automated grouping of various aspect, and other options.

    Scikit-learn also gives your dimensionality reduction, model selection, preprocessing units, and various other features. It has an excellent interface, and the GUI module works in the best way to provide a guided structure for easy navigation. It comes with multiple library content that offers efficient tools that provide statistical modeling. The program is free for every user but provides a purchase module for professional developers.

    Scikit-learn alternatives
16. 16
    
    AnacondaFreemium

    Anaconda is a popular data science platform that brings all data scientists, practitioners, and other people for human sense-making out of the data. The platform is some serious technology that is designed for data scientists for real data science and machine learning applications. It helps the businesses to stay up-to-date and keep pace with the advancements in their sector.

    The individual edition of Anaconda is for solo practitioners that enable the users to equip them with thousands of open-source packages and libraries. The platform allows the users to build, install, and manage software in the cross-platform manger, and its cloud repository provides over 7500 data science packages.

    Anaconda enables businesses to keep their data science teams to stay on the same page as the rest of the organization, and users can use this to distribute packages across channels to simplify workflows. Lastly, it provides enterprise-level security and keeps the data protected.

    Anaconda alternatives