Alternatives
Products that do what I built a tool to find trading signals that aren't just random luck does
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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2024 · github.com
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2011 · bullbear.ca
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HeyTraders▲128HeyTraders parses natural language queries into trading logic for instant crypto backtesting and market research
Jan 2026 · hey-traders.com
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Hey everyone! I am an enthusiast trader and a year ago I had this idea to create a free-to-use website that would feature all the most essential tools that traders would use on a daily basis. So I learned to code and build it—I did everything including design, texts, code, and SEO—which took me 12 months to launch and a year and a half to make it look like it currently does. I was into marketing and design before, but I didn't know barely anything about coding. The website is built using Next.js, Tailwind CSS, and Typescript with Framer Motion animations and lots of APIs. I’m actively…
2023 · tradingdigits.io
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Hey HN, For the past few years, I've been obsessed with trying to get AI to produce accurate trading signals. The main challenges I found with AI trading models are lack of consistency, context window bottlenecks, hard to backtest, and high cost. Asking ChatGPT "Should I buy Bitcoin today?" doesn't work well because the LLM doesnt have a set trading strategy to opperate from. In addition, the small context window makes it challenging to fit enough historical data into. Not to mention it gets very expensive as well. My solution is a hybrid approach. Instead of having the LLM make direct…
2025 · trend.fi
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Hey HN, I just released Tradofire, a crypto trading app I built using a lot of cursor chatgpt and claude for over a year. The main idea of the app is very simple - to swipe on pre-prepared trading setups (like tinder) and if you right swipe it opens a position. The execution of this simple idea was much more complex and tbh I could not have done it without AI. Here's a quick rundown of the main features: Swipe-to-Trade UI: Quickly initiate long or short positions with intuitive swipe gestures. Real-Time Trade Signals: Get curated crypto signals from the market delivered proactively, helping…
2025 · apps.apple.com
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Real live data! +69% winning trades (NO repainting BS)
Jun 2026 · tradeanalyzer.io
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Score stocks 0–100 with readable trade signals in one click
Jun 2026 · market-signalsapi-production.up.railway.app
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Verify signal timing trade with confidence
Jul 2026 · blue-sky.great-site.net
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I built TradeSight (https://tradesight.live) as a lightweight market risk indicator that combines real-time data with AI insights. The backend is written in Rust, with a vanilla JS frontend for maximum performance. It aggregates data from multiple sources (FRED API, Yahoo Finance) and uses Claude's API to provide detailed market analysis. Technical stack: - No login required - static page with hourly updates - Rust backend for efficient data aggregation - Vanilla JavaScript frontend for minimal overhead - Claude API integration for real-time market analysis - Data sources: FRED…
2024 · tradesight.live
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I am sharing a research-grade, open-source trading execution framework that achieves a median end-to-end decision latency of 890 nanoseconds on commodity hardware. The project is designed for education, systems research, and latency instrumentation, not for live trading. It focuses on understanding exactly where every nanosecond goes in a trading execution path. Key features: - Kernel-bypass networking: Direct userspace access to NICs via custom drivers, 20-50 ns RX latency - Lock-free SPSC/MPSC queues: Zero-copy architecture - SIMD feature extraction: About 40 ns per update using…
Dec 2025 · submicro.krishnabajpai.me
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