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ChartScout is an AI powered cryptocurrency chart pattern scanner that watches more than 1,000 trading pairs across major exchanges 24/7 and alerts traders when patterns form in real time. It automatically detects structures such as ascending and descending triangles, channels, wedges, flags, headโandโshoulders and other proven patterns, often within 20 seconds of completion, so users do not need to stare at charts all day.
Traders create pattern watchers by choosing an exchange, pair, timeframe and pattern, then receive notifications via the web platform, Discord and email whenever those conditions are met. Different tiers unlock faster timeframes and more pattern types, from a free plan with higherโtimeframe bullish setups to advanced plans that include 1 minute charts, additional patterns and AI commentary on each detection. ChartScout reads only public market data, never requires API keys or withdrawal access, and is intended as an analytics and decisionโsupport tool rather than an exchange or wallet.
ChartScout.io GitHubChartScout.io's answer
ChartScout.io is unique because it focuses on one thing: automatically finding highโquality crypto chart patterns so traders do not have to manually scan hundreds of charts themselves. It runs entirely in the browser, never asks for API keys or custody of user funds, and delivers realโtime pattern alerts across many exchanges and timeframes, which makes it easy and safe for traders to plug into their existing workflow.
ChartScout.io's answer
A person should choose ChartScout.io because it is specialized for one job: automatically finding highโprobability crypto chart patterns across many exchanges so traders save hours of manual scanning. It works entirely in the browser, does not require API keys or fund access, and focuses on fast, realโtime alerts instead of complex configuration, which makes it simpler and safer to add to any existing trading workflow compared with many multiโfeature competitors.
ChartScout.io's answer
The primary audience for ChartScout.io is active crypto traders who rely on technical analysis and want help finding highโquality chart patterns quickly across many markets. This includes retail dayโtraders, swing traders and small trading teams who already use exchanges like Binance or Bybit, want realโtime pattern alerts, but prefer not to share API keys or build their own scanners.
ChartScout.io's answer
ChartScout.io grew out of a simple problem: active crypto traders were spending hours every day flipping between charts just to spot a few good patterns, and often still missed the best moves. The team set out to build a focused โscoutโ that could watch hundreds of pairs around the clock, surface clean technical setups automatically, and do it in a way that never needed exchange keys or control over user funds, so traders could keep their existing tools and let ChartScout handle the heavy scanning work.
ChartScout.io's answer
ChartScout.io is still a young specialist tool focused on individual and smallโteam crypto traders rather than big institutions, so specific customer names are not published publicly yet. Instead of highlighting logos, it emphasizes a growing base of active dayโ and swingโtraders who use it daily alongside major exchanges for automated pattern discovery and alerts.
ChartScout.io's answer
The core stack behind ChartScout.io is a modern webโfirst setup: a TypeScript/React (Next.js) frontโend, Node.js services for data processing, and cloud infrastructure that streams live market data from major exchange APIs. Pattern detection and alerting are handled by serverโside scanners and machineโlearning components that run continuously, then push results to the browser in real time via web APIs and notifications.
Based on our record, GitHub seems to be more popular. It has been mentiond 2466 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
// ==UserScript== // @name GitHub -> Obsidian Task // @namespace obsidian // @version 1.0 // @match https://github.com/*/*/issues/* // @match https://github.com/*/*/pull/* // @grant GM_setClipboard // ==/UserScript== (function () { 'use strict'; function getTitle() { return document.querySelector("bdi")?.textContent.trim(); } function copyTask() { ... - Source: dev.to / about 18 hours ago
Import requests From bs4 import BeautifulSoup From datetime import datetime Def fetch_github_trending(): url = "https://github.com/trending?since=daily" response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') repos = [] for article in soup.select('article.Box-row'): repo_link = article.select_one('h2 a')['href'] stars_today =... - Source: dev.to / 1 day ago
Git clone https://github.com//.git /opt/app Cd /opt/app Docker build -t app . Docker run -d --name app --restart unless-stopped -p 8080:8080 app. - Source: dev.to / 5 days ago
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 10 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 10 days ago
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