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Ether Signals
AI based real-time crypto trend signals, graded in public
Live Ethereum trend signals from an AI real-time feedback model. Five timeframes, one clear picture: every regime shift is analyzed, scored and published within seconds. Follow free on the web or Telegram. A research and education project, never financial advice.
Hey everyone, I'm Shushu, the maker of EtherSignals.
I run a small signal engine for ETHUSDT and got tired of how signal channels present themselves. Screenshots of winning calls, quietly deleted losing calls, win rates nobody can check. I wanted the opposite, so I built what you see here: every call we publish stays published, and each one gets graded against what price actually did next.
The engine watches five timeframes and combines nine indicators into one of five regimes, from strong up to strong down. The moment a regime shift confirms, it goes out on Telegram. Free, no account, no paywall.
On the chart page, every published call sits on the price line as an arrow with its predicted direction and continuation probability. Three bars later the outcome is marked right on the chart: hit or miss. The hit rate badge in the header is computed from those graded calls, not from screenshots.
The indicator weights are not fixed either. The engine scores its own calls after expiry and adjusts the weights from that record, with a few guardrails: weights get pulled back toward baseline after each update, capped so no single indicator can dominate, and every change is kept as a version. If the live record of the current weights drops below a set threshold, the engine rolls back to a stronger historical version on its own.
I also tried to be honest about uncertainty. When a probability has fewer than 15 historical samples, the site prints a dash instead of a number. Win rates below 50 percent are reported as they are, because in a noisy market that is normal and worth knowing.
Two things you should know. The weights are learned on ETHUSDT futures, so treat any other asset as untested. And none of this is financial advice. Signals can be wrong, delayed, or meaningless. The full limitations list is on the site.
Everything is MIT licensed on GitHub: the engine, the webhook contract, and this dashboard. Self-host the whole pipeline, or just follow the Telegram channel.
I would love your feedback, especially on the chart page and on whether the accuracy reporting makes sense at a glance. What would make you trust or distrust a public signal feed? I will be in the comments all day.
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About Ether Signals on Product Hunt
“AI based real-time crypto trend signals, graded in public”
Ether Signals was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #424 on the daily leaderboard. Live Ethereum trend signals from an AI real-time feedback model. Five timeframes, one clear picture: every regime shift is analyzed, scored and published within seconds. Follow free on the web or Telegram. A research and education project, never financial advice.
Ether Signals was featured in Investing (26.8k followers), Crypto (39.8k followers), GitHub (41.4k followers) and Ethereum (1k followers) on Product Hunt. Together, these topics include over 46.7k products, making this a competitive space to launch in.
Who hunted Ether Signals?
Ether Signals was hunted by Shushu Cui. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Shushu Cui