CLIKXIA — Copilote de décision boursière
AI copilot that turns market uncertainty into BUY/SELL/WAIT
What it does
CLIKXIA is the first AI decision copilot for investors. Instead of drowning in data, you get one clear signal : BUY / SELL / WAIT — with confidence score, entry price, target, stop-loss and 3 scenario simulations. Powered by 4 AI layers : technical analysis + real-world events + market psychology (NLP) + currencies. Coverage : TSX · NYSE · NASDAQ (Mon-Fri) + BTC · ETH · SOL (24/7 weekends) Built for beginners and experienced traders alike. A beginner understands the signal in 5 seconds.
Does the same job
all alternatives →- LWLangAlpha – what if Claude Code was built for Wall Street?Apr 2026 · github.com · ▲148
Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
- IBI built a tool to find trading signals that aren't just random luckSep 2025 · hikaro.app · ▲9
Hi HN, I'm a solo dev and for the last few months I've been building Hikaro, a tool to find statistically significant trading signals for [e.g., US equities, crypto, forex]. I built this to solve my own problem: I was tired of backtests that looked great on paper but failed in practice. Simple metrics like "win rate" can be misleading, so I wanted a way to quickly tell if a signal's performance was genuine or just noise. Hikaro ingests daily market data and runs statistical analysis on various trading signals. The goal is to surface signals with strong properties, like: Low p-value: Evidence…
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Launched alongside, April 2026
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Thought the resources for GPU arch were lacking, so here we are
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With social media and now AI, its important to keep the indie web alive. There are many people who write frequently. Blogosphere tries to highlight them by fetching the recent posts from personal blogs across many categories. There are two versions: Minimal (HN-inspired, fast, static): https://text.blogosphere.app/ Non-minimal: https://blogosphere.app/ If you don't find your blog (or your favorite ones), please add them. I will review and approve it.
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