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0xFunky
20,099 Twitter followers
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BioMedical AI Start up - CTO / Kaggle Competition - Master / @GooseCityDAO / Founder @codechainAI
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0xFunky
12-16
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After open-sourcing Wei Shen's historical trading data recording platform, we received suggestions from some traders to add support for other exchanges. The main reason is that many mainstream exchange apps or websites cannot display historical trading records from too far back. This is difficult for those who want to comprehensively review their trading journey, record their trading history, and identify blind spots. A platform that integrates trading records from all exchanges for systematic analysis would be very helpful. Therefore, I spent two days refactoring and upgrading the platform, which originally only recorded Wei Shen's (BitMex) data, and officially named it TradeVoyage! Major Updates to TradeVoyage • Multi-Exchange Support: Supports historical trading data recording dashboards for BitMEX, Binance Futures, OKX, and Bybit. • Import Read-Only API: You can now securely download your historical trading data directly on the platform using the read-only API, without having to run a separate script for downloading. Automatic updates will be supported in the future. • AI Trading Analysis: Integrates the latest AI models (including GPT-5.2, Claude Sonnet 4, Gemini 3 Pro, etc.), feeding past trading records into the AI ​​for multi-dimensional analysis. Users can also design their own prompts for customized analysis (GPT-5.2 analysis is quite good, to be honest...). • Comprehensive Optimization: Performs more accurate position and PnL calculations based on different exchanges. Improved candlestick charts and trading markers display. Users can directly select a position to quickly jump to that time period for entry and exit logic review. TraderVoyage is completely free and open source! There's a paid product called TraderSync, but I hope to create a free and open-source product that better meets the needs of crypto traders. I will continue to optimize and update it, and I welcome valuable feedback and feature suggestions so we can work together to make TraderVoyage the best free and open-source trading review tool. 🙏 The platform is fully open-source on Github. Because it's open-source and self-deployed, everything is on your own computer, so you don't have to worry about API or data leaks. The link is in the comments.
0xFunky
@0x0funky
11-25
[Vibe Coding 實戰演示] 昨天看到wei神公佈Read only的API就想說來玩一下Vibe Coding,寫出了一個過去wei神的歷史交易數據紀錄平台,平台記錄著wei神過去交易資訊,然後搭配Chart的K棒來做交易Mark參考,記錄一下整個Vibe過程,順便教學一下我都怎麼 Vibe Coding 一些想法。 x.com/coolish/status…
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0xFunky
12-13
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A week ago, Microsoft released the open-source VibeVoice Model, and today Google updated Gemini Audio. In the intervening days, I developed MeetLingo: a real-time speech-to-speech tool focused on PC online meetings. The motivation was simple: when VibeVoice announced a 300ms latency, I realized that TTS latency had become low enough to be truly used in time-sensitive scenarios like "real-time meetings." So, I spent a day using Vibe Coding to create the MVP. The entire system uses a streaming architecture: speech is recognized and translated simultaneously, translation tokens are sent to the TTS system as they are spoken, and finally, the output is directly as speech, rather than waiting for a sentence to finish before processing begins. Because of this, currently, with a local + open-source model, the TTFA (Time-to-Average Translation) is around 1000-1500ms. In the open-source world where code can be customized, modified, and embedded, latency is generally over 2000ms. Our speed is already quite competitive (approaching the translation speed in Google Video). Frankly, when I saw Google announce the Gemini Audio update today, I felt for a moment that "this idea and narrative were completely overshadowed." When a big company makes a move, it's easy to suppress creativity, timing, and even the presence of a startup. Therefore, in this era, what truly matters is not hiding ideas and slowly refining them, but the ability to quickly build an MVP and validate it in the real world. But then I thought, since we've already started, let's continue. MeetLingo was never limited to meetings from the beginning; it's essentially a low-latency speech-to-speech pipeline. In the future, it will support more languages and can be used in any real-time voice scenario. The difference is that I chose to make it open-source and local-first, not a feature locked within a platform. Now that it's running, let's gradually optimize it to be faster, more stable, and easier to use. My GitHub and website are in the comments section. Feel free to check them out and give them a ⭐! twitter.com/0x0funky/status/19...
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