Emmanuel CHRIQUI

Cryo is a famous French video game company from the '90s. This is where I began my professional journey. Hardline was my first video game as a main programmer. It took around 18 months to develop and it happened in a rapidly growing, innovative, technically advanced, and creative environment.

Dreams is a game co-created with the talented Olivier Denis, Hatem Ben Abdallah, and Yann Mallard for Cryo, distributed by Electronic Arts. Its technical prowess and aesthetics were ahead of their time, captivating players with a unique style, immersive worlds, and a compelling narrative. While considered avant-garde by some, it made a lasting impression on all who experienced it! It was a challenge in both programming and artistic creation, and indeed a remarkable adventure.

I wrote this open source (GPL) divergence detector in C# for Ninja Trader V7, and in C++ for SierraChart. The goal was to learn and share the concept of divergence between price and any other types of data. I It was made available on the famous bigmiketrading forum (now nexusfi.com) and other known forums. The tool has been utilized by numerous retail traders, and the code appears to have been adopted by many others to create enhanced versions or additional tools that require divergence logic. It is still, today, 10+ years later, in the top downloads of the forum.

I developed an open-source (GPL) set of Volume Weighted Average Price (VWAP) tools in C++ for SierraChart. Designed for research, testing, backtesting, and trading, these tools offer a comprehensive suite of VWAP computations. These include fixed periods like day/week/… (ECIVwap), manually anchored bars (ECIVwapAnchor or MIDAS-type), rolling periods (ECIVwapChannel), and an experimental automatic detection range or bracket (ECIVwapBracket).

The tools have garnered considerable attention from both retail and proprietary traders. Thanks to valuable feedback, especially from the LePrivateBanker forum and more discrete traders, I've been able to enhance and stabilize their functionality over around 3 years. They are part of the user-contributed custom studies of SierraChart and I continue to get traders ask me for enhancements or new projects based on those concepts. Their popularity is evident among a wide range of users, including retail traders and well-known internet traders. Furthermore, these tools have inspired others to expand upon them or integrate them into automated trading strategies, further extending their utility across various trading communities.

As a co-founder of a pioneering online data storage startup, we introduced a playful, secure platform with unlimited storage, standing out for its innovation and affordability. Our vision attracted significant support from Technopole de l'Aube in Troyes, enabling us to raise €1 million and quickly grow a community of 75,000 users. Our journey included expansion into the U.S. market and discussions with major French industrialists. Though we eventually decided to close, this venture was a rich learning experience in entrepreneurship and decision-making.

This system is adeptly designed for traders who prioritize efficient and effective market monitoring, eliminating the need for constant screen presence. It guarantees timely alerts about pivotal market events, with notifications seamlessly delivered to mobile devices, tablets, or computers. In this proof of concept, Slack is the chosen platform for notifications, selected for its reliability and widespread adoption. SierraChart plays a critical role in acquiring real-time data and handling charting and computations. Central to this system is the custom study developed for SierraChart, specifically tailored to detect significant market instances (in this example, crossing of two moving averages).

Key Features:

• Integration with Existing Applications: Utilizes popular platforms to reduce development costs and maintenance needs.
• SierraChart Real-Time Data: Runs on SierraChart with a real-time data feed, ensuring prompt and accurate market information.
• Customized Market Analysis: Employs a specially developed study that analyzes live market data to detect critical trading moments and generate actionable signals.
• Secure and Targeted Notifications via Slack: Once a market event is detected, the system communicates with the configured Slack API to deliver these signals securely. Notifications are sent to the appropriate channels, ensuring they reach the right audience.

This project was about Transmission and sharing to empower the next generation of programmers by combining traditional programming skills with cutting-edge AI technology. Focus areas were:

• Designing and testing paradigms.
• Prototyping, experimenting, logging, debugging, and exploring concurrency approaches.
• Delving into core computer science concepts..
• Integrating AI assistance as a powerful enhancer of programming capabilities.
• And, integrating AI LLM technology in the code to better understand how to maximize AI assistance.

The code was shared on github and related posts on LinkedIn, here: #1 #2 #3 #4.

• Licence:

  GPL-3.0, open source Available on Github

• Categories:

  AI,

• Date:

  2024

• Skills:

  C# · .Net · ASP.Net Core, Design, Testi, TDD, Prototyping, Concurrency, BackOffice + FrontOffice logic