@useStockAI · X

u/person-person12 · Reddit

The honest reality: Building more SaaS features can do more harm than good Nine months ago, my SaaS was called WealthLearn . At the time we had built Market Research, Backtesting, AI Tools, TradingView Indicators, Portfolio Analysis, Broker Connections, Automation, Education, and even a separate Futures Application for MacOS/Windows. The problem was that every time I explained the company, I had to list all of those things. Our team understood how everything connected b

@KSertttttttt · X

MahtiasAhlgren · HN

Premiss – Coding agents for building trading strategies

ariavikram · HN

Delphi – Build your own AI trading agent in seconds

@torquant · X

building Torquant. you build and backtest trading/investment strategies using only natural languange

u/sebriz · Reddit

I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market

策引 — 全球市场技术分析工具，可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能，可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

zizhouwang · HN

Min – Personal AI Quant

@InsiderxScanner · X

A scanner that searches insider buying activity and tries to separate normal insider transactions from genuine conviction. Every setup gets analyzed, filtered and eventually ranked. The strongest become signals. I'll show you the first one today.

@Mojtabatgv7 · X

@CodeBullapp · X

Building CodeBull. A platform where you build trading bots with Python or visual blocks, backtest them on real-world market data, and compete against other users’ strategies. Zero risk. Just learn trading by building.