TradingDraw

What it does

Most traders spend hours watching charts waiting for their setup to appear. TradingDraw changes that. Draw any pattern directly on the chart with your mouse. The algorithm scans 400+ coins across 5 timeframes and finds every historical match — with stats on what happened after each one. Then set it to monitor live. When your pattern forms again, you get a Telegram alert instantly. No screen time required. Draw it. Find it. Track it. Profit.`

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  I learned to code and built a crypto analytics platform2023 · tradingdigits.io · ▲108

  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…

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  Kai2024 · tradingwizard.ai · ▲102

  Meet Kai: Turn any Chart into a Trade Setup in one click.

• SA
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  TradeBot SignalsJan 2026 · 99ta100.com · ▲5

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  Spot Canvas2025 · spotcanvas.com · ▲9

  Hi HN, About a year ago I started tinkering with drawing candlestick charts on an HTML canvas. What began as a small experiment turned into a full-blown crypto charting library. At some point I asked myself: could this actually become a competitor to TradingView? That felt overwhelming, since TradingView has an enormous feature set. Still, I kept building — partly because I enjoy side projects more than watching TV By the summer, I had a working SaaS version. But it felt like it was missing something that would make it truly stand out. Then I realized: the chart itself should be AI-powered.…

• IB
  I built a tool to find trading signals that aren't just random luck2025 · 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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