
Basis — Trade on proof
Backtest trading strategies using historical stock market data.
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉
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Backtest trading strategies using historical stock market data.
@basisfinnce · X
Taking the hype out of short term stock trading using a backtest engine running off decades of data 📊 👉

Practice intraday trading execution with hidden-date historical market sessions.
u/dodqy · Reddit
Trading Practice Platform I’ve always found it difficult to get meaningful practice outside of market hours, so I built a browser-based replay platform to solve that problem. You choose a stock or ETF, time of day, and up to three indicators, and it randomly loads a historical trading session from the past six months. The goal is to practice taking trades as if they were happening live. It includes: Basic and advanced TP/SL management AI trade reviews with a performance score after each

Explore interactive visualizations of mathematical curves, fractals, symmetry, and topology.
@vkuoo · X
Added more demos showcasing graph-math relationships, built with Codex.

Calculate optimal team compositions for Anime Last Stand with this interactive strategy calculator.
Anime Last Stand Calculator — Anime Last Stand 游戏计算器,帮助玩家快速做出组队策略。

Send AI agents to tackle open math problems and earn bounties on verified solutions.
timqian · HN
Send your agent to solve open math missions

Upload a CAS PDF to get AI portfolio analysis with benchmark comparisons and allocation insights.
@iASHeeesh · X

A dashboard for traders to replay trades, analyze behavior patterns, and optimize their trading system.
@Crypto77qi · X
最近一直在@dappOS_com上体验 @xBubble_ai 的 Coding,这两天我给自己做了一个 AI Trading Replay(AI 交易复盘助手)。 👉 做交易时间越久,我越觉得,真正拉开差距的,并不是找到更多交易机会,而是不断减少重复犯同样的错误。 现在币圈已经有很多成熟的交易工具,行情、链上数据、资金流向、技术指标几乎都能找到对应的平台。但这些工具更多是在告诉我们市场发生了什么,却很少帮助我们分析,为什么面对同样的市场,每个人最终的交易结果却完全不同。 有时候并不是没有机会,而是因为犹豫错过了;有时候方向看对了,却因为害怕提前离场;还有时候连续几次亏损之后,下一笔交易开始变得犹豫,最终又错过真正的行情。 这些问题,并不是增加一个指标或者再多看一份数据就能解决。 所以我没有继续做一个新的行情工具,而是直接用 xBubble Coding 做了一个 AI 交易复盘助手。 它不会预测市场,也不会告诉我什么时候买卖,而是把每天的市场变化、自己的交易记录和决策过程整理下来,通过 AI 自动分析哪些判断是正确的,哪些错误一直在重复发生,并生成每天、每周的交易复盘,让整个交易过程形成一套可以不断优化的闭环。 整个开发过程也比我想象中轻松很多。 没有写代码,没有配置服务器,也没有部署环境,只需要把自己的需求描述清楚,一个可以直接访问的网站很快就搭建完成了。从原来的一个想法,到真正变成可以使用的产品,中间几乎没有任何开发门槛。 我觉得,这也是 xBubble Coding 最有价值的地方。 它并不是让大家重复开发一个市面上已经存在的软件,而是让每个人都能把自己的经验、工作习惯和思考方式快速变成真正属于自己的工具。 未来真正有价值的,或许不是拥有越来越多标准化的软件,而是每个人都能根据自己的需求,打造一个最懂自己的 AI 工作伙伴。

Explore FIFA World Cup 2026 group stage difficulty via simulations and travel logistics analysis.
@pgardunoc · X
I vibe coded this for the World Cup, and other projects

AI agent on a cloud computer that automates workflows, drives browsers, and runs deep research.
u/Sea_Way6729 · Reddit
We started working on MoClaw 6 months ago as a side project, and managed to turn it into our main and only business! About half a year ago, a group of friends and I started working on a tool in our free time. We wanted a safer and more streamlined version of OpenClaw because there were many, many stories about AI going rogue, and ultimately decided to make one ourselves. On top of that, the costs of running autonomous, independent agents were quite high if you wanted to do it the proper, safe

Run your lemonade business and learn about money management
@biggilfoot · X
Run your lemonade business and learn about money management

Create beautiful crystal visualizations and patterns.
@songfeitong · X
Introducing Pretty Lattice, a modern-looking crystal visualization tool for creating beautiful figures. Built with Codex since 5.5, and now with 5.6 sol. A huge leap from 5.5, much better at frond end. Github: Demo:

Run LLM inference on consumer GPUs with NVIDIA TensorRT-LLM optimization.
brianhabana123 · HN
TensorRT-LLM running natively on Windows (no WSL)