{"id":197408,"date":"2023-10-11T11:29:25","date_gmt":"2023-10-11T15:29:25","guid":{"rendered":"https:\/\/ibkrcampus.com\/?p=197408"},"modified":"2023-11-03T15:38:31","modified_gmt":"2023-11-03T19:38:31","slug":"from-api-to-ecosystem-how-atreyu-built-a-hedge-for-a-hedge-fund","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/ibkr-quant-news\/from-api-to-ecosystem-how-atreyu-built-a-hedge-for-a-hedge-fund\/","title":{"rendered":"From API to Ecosystem: How Atreyu Built a Hedge for a Hedge Fund"},"content":{"rendered":"\n

Atreyu Trading<\/a> decided to become an IBKR introducing broker in part because its principals were well-acquainted with IBKR\u2019s APIs and believed TWS was a strong solution for both small teams and large institutions.<\/p>\n\n\n\n

\u201cInstitutional players often start by trading directly on TWS,\u201d explains Kevin Carroll, Atreyu\u2019s Chief Operating Officer, \u201cbut as they grow, they move toward programmed trading. Some manage the transition on their own, but many traders and fund managers don\u2019t think of themselves as programmers. The move from point-and-click trading to automated execution can be a big conceptual leap. That\u2019s where we come in.\u201d<\/p>\n\n\n\n

Atreyu prides itself on getting clients up and running quickly. In many cases, the process is relatively simple. However, a certain percentage of clients need customization.<\/p>\n\n\n\n

\u201cWe\u2019re an introducing broker to IBKR, but we also have deep direct trading experience and run our own technology-driven brokerage operation designed for quant managers.\u201d<\/p>\n\n\n\n

Indeed, Atreyu\u2019s expertise in algorithmic and quantitative trading led them to build iFLEX, a high-performance proprietary API that now connects seamlessly to IBKR\u2019s ecosystem.<\/p>\n\n\n\n

\u201cWe analyzed the IBKR platform until we thoroughly understood it. We then created a tailored front-end that seamlessly plugs into IBKR\u2019s infrastructure and added additional monitoring functions. We left the \u2018know your customer\u2019 and other supervisory management functions to IBKR, and designed the front-end so it\u2019s easily adaptable to the needs of the trading organizations we work with.\u201d<\/p>\n\n\n\n

As an example, Jogi Narain<\/a> (Chief Technology Officer) cites a hedge fund that started small on IBKR, and after considerable success decided to expand. The client valued the platform and wanted to use it to assemble a network of global traders and quants who would run their own strategies on behalf of the hedge fund, with participation in performance.<\/p>\n\n\n\n

They needed two things that were outside of IBKR\u2019s out-of-the-box configuration:<\/p>\n\n\n\n

    \n
  1. A standard \u201csandbox\u201d environment to assess and monitor strategy performance before signing up a trader\/quant.<\/li>\n\n\n\n
  2. A real-time \u201ckill switch\u201d if a trader\/quant\u2019s strategy did not meet the agreed risk and performance objectives.<\/li>\n<\/ol>\n\n\n\n

    Most of their traders used strategy models written mostly in Python, but some wanted to also use TWS for click-based trading. The fund suspected that IBKR\u2019s APIs could make all this possible, but did not have the in-house expertise to implement this integration.  Luckily, they were able to achieve the result they needed, using a combination of Atreyu and IBKR technology.<\/p>\n\n\n\n

    The seamless iFLEX bridge to IBKR meant that the client\u2019s traders could access the TWS \/ Portal environment while continuing to use their own strategies and analytics.  The iFLEX API also simplified access to IBKR\u2019s algos so traders could focus mostly on strategy development.<\/p>\n\n\n\n

    \u201cProprietary algo strategies are what made their traders successful, and no one was prepared to re-engineer them. Our solution gave the client connectivity, certification, platform APIs, operational support and trade monitoring, and IBKR supplied infrastructure for the rest: account setups, trading, access to multi-asset global markets, confirmations, algos, order management, analytics and reporting.\u201d<\/p>\n\n\n\n

    \u201cNow, when the hedge fund green-lights a trader, they can switch them live and monitor their activity in the context of their overall objectives.  Atreyu\u2019s internal access to the iFLEX dashboard means they can permission us to handle monitoring duties so they aren\u2019t handcuffed to their computer and can focus their attention where it\u2019s most needed: on strategy and management. If something doesn\u2019t work the way they want, IBKR\u2019s management tools make it easy to iron out the kinks.\u201d<\/p>\n\n\n\n

    Jogi Narain notes another example: a futures trading firm that was ready to switch to IBKR. The catch: their proprietary strategies were built in a complex language called Matlab and a set of trade files were created then uploaded for trading. The results were downloaded and converted to files that the Matlab process could ingest to see the outcome of the trading.<\/p>\n\n\n\n

    \u201cInterfacing with Matlab can be challenging, but we were able to work out an effective solution.\u201d<\/p>\n\n\n\n

    Atreyu created a Windows TradeFileLoader application that runs as a local service and directly sends and receives trading and risk updates from IBKR. The client\u2019s Matlab system was able to copy files into one folder and fetch the resulting trading outputs from another folder.<\/p>\n\n\n\n

    \u201cThe client is happy because they were able to move to IBKR without disrupting their original file-based Matlab trade processing. Our plug-in allowed them to keep using their strategies and analytics in the format they are used to, and just concentrate on building new strategies. This client is a perfect example of why we are so excited about our partnership with IBKR.\u201d<\/p>\n\n\n\n

    Visit Atreyu Trading<\/a> for additional insight into their customized API solutions.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Indeed, Atreyu\u2019s expertise in algorithmic and quantitative trading led them to build iFLEX, a high-performance proprietary API that now connects seamlessly to IBKR\u2019s ecosystem.<\/p>\n","protected":false},"author":1261,"featured_media":197427,"comment_status":"open","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[340,343,349,338,341],"tags":[851,864,5039,595],"contributors-categories":[13576],"class_list":{"0":"post-197408","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-api-development","8":"category-programing-languages","9":"category-python-development","10":"category-ibkr-quant-news","11":"category-quant-development","12":"tag-algo-trading","13":"tag-api","14":"tag-matlab","15":"tag-python","16":"contributors-categories-interactive-brokers"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"\nFrom API to Ecosystem: How Atreyu Built a Hedge for a Hedge Fund<\/title>\n<meta name=\"description\" content=\"Indeed, Atreyu\u2019s 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