Alternatives
Products that do what Multi-Agent Market Simulator for Studying Emergent Trading Dynamics does
I built this simulator to study how simple trading agents interacting with an order book can create emergent patterns—volatility, clustering, even chaos—without any external shocks. It’s meant as both a research toy and teaching tool. You can run different strategies, adjust configs, and watch dynamics evolve. Curious to hear feedback from the HN crowd on features/dynamics you’d like to see added.
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OP here: I created this visualization tool as the byproduct of a supply chain class I taught at Columbia. The pedagogical exercise grew into a full blown visualization and paper about global oil trade. The model: The mechanics are the same as the financial network Eisenberg-Noe: Instead of banks, every country consumes oil interconnected via bilateral trading. Shocks propagate throughout the network, depleting oil reserves when bottleneck nodes (such as the Strait of Hormuz) are blocked. Insights: The interesting part is the mechanics of how the crisis unfolds: for example, France receives 0…
Jul 2026 · globaloilnetwork.staffinganalytics.io
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Hi HN, we’re Sai and Aayush, and we’re building Hypercubic (https://www.hypercubic.ai/), bringing AI tools to the mainframe and COBOL world. (We did a Launch HN last year: https://news.ycombinator.com/item?id=45877517.) Today we’re launching Hopper, an agentic development environment for mainframes. You can download it here: https://www.hypercubic.ai/hopper, and you can also request access and immediately get a mainframe user account to play with. There's also a video runthrough at https://www.youtube.com/watch?v=q81L5DcfBvE.…
May 2026 · hypercubic.ai
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2014 · cloud9trader.com
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Practice trading with real historical market data by setting entry, stop-loss, and take-profit levels. The goal is to help traders practice without taking any financial risk. It's completely free, and no sign up is required to jump right in. I'd love for you to try it out: https://dare2trade.com/ It's best experienced on desktop devices for now.
2025 · dare2trade.com
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I built Hermes, an open-source Python framework for multi-agent financial research. Most AI “equity research” demos stop at generating text. In practice, real workflows require pulling structured XBRL financials from SEC filings, extracting labeled sections like MD&A and Risk Factors, merging macro and market data, building actual Excel models with formulas, and generating investment memos in Word or PDF. Hermes is designed to handle that full pipeline end to end. It includes 35 financial data tools covering SEC EDGAR (via edgartools), FRED, Yahoo Finance market data, and RSS-based financial…
Feb 2026 · github.com
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I’ve been working on a browser-based evolutionary simulation as a personal experiment. Organisms adapt to environmental pressure over time, and there are no explicit goals or scoring, the system is open-ended and runs continuously. I built this mainly to challenge myself and to explore how to surface simulation behavior and statistics in a way that stays readable rather than overwhelming. As a side effect, it’s also something my kids enjoys watching run. Curious what resonates and what doesn’t, and happy to answer questions about the design or tradeoffs.
Jan 2026 · soupof.life
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The qmrExchange project is an open-source financial markets exchange simulator that realistically mimics all the main components of modern trading venues. It allows us to test and quantify the behavior of different agents in a laboratory and isolated environment without the high noise-to-signal ratio that is otherwise unavoidable in live settings. By creating a completely functioning trading venue whose access is only granted to a finite and known number of agents or trading algorithms, qmrExchange enables analyzing causation and quantifying the impact of each agent in a way that is…
2022 · github.com
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I built a web page that aggregates data about data center buildup, sovereign fund investments into AI and bottlenecks. The objective is to predict AI race cooldown by looking at a potential decrease of activity involving these elements. The website looks at the quarterly forms from the 5 biggest hyperscalers and adds their CapEx into the mix, calculating a composite index in the end showing how likely it is for the AI race to slow down. Enjoy!
Jul 2026 · laurentiugabriel.github.io
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Hey HN, we built an Econ+Finance database to let AI agents do investment research. We spend a lot of tokens to organize macro releases and SEC filings into a clean format, so that your agents have more context to do actual analysis. The problem AI agents are great at data analysis. But they become ineffective if most of their context window is spent on gathering and cleaning data, instead of validating hypotheses. Data in the wild is messy and rarely standardized. Definitions and measurements change over time. This problem is compounded by a fragmented data universe. Point solutions exist…
Jul 2026 · github.com
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Hi Y'all, for those interested in trading using quantitative finance ideas, I'm open sourcing the software I made in the past 10+ years along with a series of tutorials on YouTube which gradually introduce the concepts. It's work in progress, for now I covered the foundations (stock price movements, option valuation, the arbitrage idea and the replication technique). Next I'll introduce how to import historical market data for stocks and options along with where you can buy it for a reasonable price (you can't find free historical options data) and some basic cleanup techniques because it…
2024 · aquarianz.com
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Describe, backtest, and automate your trading strategy
5d ago · hey-traders.com
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Hi HN, we're developing Neverbell, an AI agent that combines market analysis with trade execution. One of our beta testers said to Neverbell: “Protect my downside, but don’t be too conservative.” Volatility increased a few days later, and the agent decreased their exposure. Our tester wasn’t happy. The interesting part for us was that both interpretations were reasonable. The agent gave more weight to “protect my downside.” The user thought that “don't be too conservative” was more important. It changed the way we built Neverbell. Now, if the agent sees any instructions that conflict, it…
Jul 2026 · neverbell.com
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For the last few months I have been analysing Peter Lynch’s books on stock picking and doing prompt engineering to check if AI could create useful stock analyses. To my surprise it started making reports that allow me to understand companies much faster with well cited sources. I hope you find it interesting and useful :) Perter Lynch’s books I analyzed: Learn to earn, One up on Wall Street, Beating the street
Jun 2026 · github.com
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2015 · tradewave.net
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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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The multi-asset paper trading simulator
Jun 2026 · vectrade.io
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Hi HN, I built this to address what I see as the fundamental problem with ReAct-style agents: compounding errors. Even a small mistake made early enough in the loop can snowball and ruin the final output. But with search, agents can look multiple steps ahead and backtrack before committing to a particular trajectory. This has already been shown in a few papers to help agents avoid mistakes and boost overall task performance, but there's no easy way to actually build these kinds of agents. So that's why I made this framework. I believe search will eventually become table stakes for building…
2024 · github.com
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Agentic trading is new. Here's what people are trying.
11d ago · agentictradingprompts.com
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Ranked by how close each launch is in meaning, then by votes. Refine with a description →