Alternatives
Products that do what Veynt — Prediction Markets on BOT does
Confidential prediction markets on BOT Chain
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2017 · ohmyco.in
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AI powered stocks, balance sheets, analyst report comparison
2024
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- 10PO
We built a data feed oracle to write prices on-chain, and it’s live on the Ropsten test network! In Decentralized Finance (Defi), you can build your own financial instruments and you often need an oracle to write off-chain prices onto the blockchain. We built an oracle focused on data feeds because the current options are too expensive and slow for regularly, repeating data. This oracle is designed for price feeds and uses public key encryption to validate the data submitted is accurate. We modeled our oracle off of MakerDao and generalized the design to work with any datafeed. We’re…
2019
- 11TC
2018 · tensorcharts.com
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Free live crypto derivatives data on one screen
26d ago · vectison.com
- 14IM
Hi HN! For the last few weeks I've been building an algotrading bot based on the Supertrend indicator. It's a trend-following bot that uses the Supertrend lines as support/resistances to enter long/short trades and it's currently running in simulated mode (not real money) on all Binance futures pairs. I've written a somewhat detailed write-up about the strategy here: https://ailef.tech/2021/05/20/im-building-a-cryptocurrency-trading-bot-that-you-can-follow-live-on-telegram/ The cool thing about the bot is that he reports everything on his Telegram…
2021
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https://github.com/mathisonian/benjamin
2013
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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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Hi everyone, we recently launched our cryptocurrency pricing site we have been working on for a few months: https://chainsage.com Currently we are aggregating data from 200+ exchanges for 2000+ assets. Being cryptocurrency enthusiasts and investors ourselves, we were frustrated with the lack of filtering/sorting options existing providers of similar data had. For example, here's a live dashboard of assets with at least $100k in trading volume and a 10%+ USD price increase in the last 24 hours:…
2018
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Build New Markets Around Real World Predictions
13d ago · bidbits.org
- 20TW
Hey HN, I'm Jake, and I created Chainspy, a website that aggregates and visualizes on-chain metrics across multiple blockchains like Bitcoin, Ethereum, and others. It's designed to give you insights beyond just price data. Why Chainspy? - On-Chain Metrics: Track blockchain activity (e.g., transactions, active users) across multiple networks, all in one place. - Advanced Charting: Visualize blockchain data with integrated TradingView charts. Ideal for comparing blockchain performance over time. - Wealth Distribution: See how wealth is distributed across wallets and spot centralization trends.…
2024 · app.chainspy.net
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This project grew out of frustration of trying to find out the odds of a Hantavirus pandemic. When I went to search for it, I had to wade through sports gambling, and novelty markets that distracted me from just getting a really useful number with context to know if it was accurate. To solve this, my friend and I made mondael.com, which we're using to analyze, and visualize interesting prediction markets in the realm of: Geopolitics, Elections, Macro, Finance, Energy, and Science & Technology. The basic belief is that prediction markets can often move faster than news, but only if the data…
Jul 2026 · mondael.com
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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…
Sep 2025 · hikaro.app
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Hey HN, We built https://LowLow.bot, a website (no app or extension required) that tracks price drops and restocks on your favorite products — without the need to sign up for marketing emails. Inspired by https://camelcamelcamel.com for Amazon, we wanted the same experience for any website. Some ways people use it: • Big purchases, no rush – Buy ski gear when the price drops before next season. • Recurring essentials – My partner’s pricey sunscreen? I buy it when it’s on sale. • Holiday sales – Get notified before deals disappear. • Restock alerts – Be the first to know…
2025 · lowlow.bot
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