Developer Tools1 week ago
Ticker Line — Market sparklines through a URL
Generate embeddable market sparklines for stocks, crypto, and indices via URL.
Open source
kahtaf · HN
Ticker-line.com – embeddable market sparkline SVGs
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60 projects
Generate embeddable market sparklines for stocks, crypto, and indices via URL.
kahtaf · HN
Ticker-line.com – embeddable market sparkline SVGs
AI agents monitor your portfolio 24/7, providing drift monitoring, earnings alerts, and benchmark tracking.
@SigVestAI · X
Learn stock market concepts through interactive analysis tools and practical hands-on exercises.
@ak_stan001 · X
Built making stock market education practical with real analysis tools and hands-on learning.
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 📊 👉
View daily AI-ranked stocks with scores and signals.
@zway_ai · X
最近用 codex 多余的算力， 把我之前的这个域名 又拿出来炼了一下 做了一个 AI 股票打分榜，简单直接~ 每天找一只高分股来研究一下📈 #earnings
Track and explore on-chain data for the f(x) Protocol and fxUSD.
@0xDrVV
Paste a prediction market URL to get AI analysis with odds, sentiment, and trade recommendations.
@pillarlabai · X
Publish predictions on stocks, ETFs, and crypto, then track outcomes on a public leaderboard.
kkjh0723 · HN
I ran 12 AI bots predicting stocks for two months, every call public
Analyze NFL games with devigged odds, line movements, and ten years of backtested market intelligence.
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
AI research agents that analyze public markets, deliver earnings alerts, and summarize SEC filings with cited sources.
oceanplexian · HN
I Built OpenClaw for Stocks
AI risk management for Tradovate that automatically blocks orders when triggered by your own risk rules.
@SanuCodes · X
still building-
View Bitcoin bottom and top-risk signals from composite technical, on-chain, and sentiment indicators.
@BDNcontent · X
Every post in my LinkedIn timeline is about one of two things right now: 1) Github is the new necessity for marketers, and 2) Substack integrated Pangram to "combat AI slop." The first one is kind of cool, I made my own Github this week to publish the first tool I vibe coded on my own. The second one is kind of annoying because while some people already know AI detectors are almost useless, some are also hailing Substack as being forward-thinking and righteous for bringing down the big bad AI sloppers. What Substack did boils down to a marketing ploy. The hot trend in advertising/marketing right now is being anti-AI because a lot of people are sick of AI slop, understandably. But Pangram isn't a fix for anything other than the most generic one-prompt outputs, i.e., someone goes to ChatGPT and says "write me a long-form newsletter," and they copy + paste the output. That will obviously be flagged. If someone has a custom project or GPT they trained extensively,