股仙傅立葉・量化視覺交易系統 v2
#台股 #量化交易 #傅立葉分析 #股票回測 #技術分析 #投資工具 #免費工具
What it does
WellC Chen 建立的台股量化分析工具，提供傅立葉趨勢、買賣轉折、MA44、成交量、換手率、自選股與千萬元模擬交易回測。 免費台股量化交易工具正式公開！ 「股仙傅立葉・量化視覺交易系統 v2」是一套由 WellC Chen 設計的免費台股研究工具，無須註冊，輸入股票代碼或中文股名即可分析。 主要功能：・傅立葉週期與趨勢分析・谷轉升／峰轉弱買賣信號・MA44移動平均線・成交量與換手率監控・自選股最新交易日信號提醒・每檔千萬元模擬交易回測・現有總資產與報酬率計算 網站免費開放使用：https://fourier-stock-system-2.wellc-chen.chatgpt.site 歡迎試用並提供建議，一起讓台股分析更直觀、更有紀律。 本工具僅供量化研究與模擬，不構成任何投資建議。
Does the same job
all alternatives →- ALAI-Less Hacker News2023 · save-buffer.github.io · ▲69
Lately I've felt exhausted due to the deluge of AI/GPT posts on hacker news, and have seen similar grumblings. I threw together this frontend that filters out anything with the phrases AI, LLM, GPT, or LLaMa for use until the hype dies down a bit. Before anyone asks, yes I did try to use ChatGPT to help, and while the code it provided was helpful, it needed some heavy bug-fixing. Edit: One other note I forgot to mention. The favicon is generated by Stable Diffusion, I asked it to generate an "Aritificial Intelligence Favicon", and then I added the red circle with line through it.
- ITI trained a 65B LLM on my texts to talk to myself (details inside)2023 · airic.serveo.net · ▲13
I trained the 65b model on my texts so I can talk to myself. It's pretty useless as an assistant, and will only do stuff you convince it to, but I guess it's technically uncensored? I'll leave it up for a bit if you want to chat with it. I posted this to Reddit and had several hundred people talking to it. Salient points from that discussion: LLAMA 1 65b Rank 128 5 epochs Batch size 1, 256 cutoff Trained in the Oobabooga suite using bitsandbytes 4-bit quantization for the lora Loss around 1.5 seems to give the most coherent results Trained on raw text dumps that is then parsed by a crappy…
- HNHacker News from Alternate Dimension (With Everything LLM-Generated)2023 · crackernews.github.io · ▲21
I recently discovered that LLMs can generate hilarious tech article titles, so I took it to the next level by generating coherent and entertaining comment threads, article content, and images. It will be automatically updated, so you'll never get bored. Enjoy! P.S. I've added robots.txt so I hope it doesn't get indexed.
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com