Forecast AI
Seven specialized agents feed a Consensus Engine that turns market signals into calibrated probability forecasts for Kalshi and Polymarket traders.
Forecast AI Multi Agent Consensus Bot for Polymarket and Kalshi
What is Forecast AI?
Forecast AI is an open source, seven agent forecasting system that turns Polymarket, Kalshi, and Robinhood Predict data into calibrated probability forecasts and trade recommendations for prediction market traders.
Ready to try Forecast AI?
Open the official site and get started in a few clicks.
Forecast AI Overview
Forecast AI is an open source multi agent system that turns raw market signals into calibrated probability forecasts for prediction markets. Instead of asking one language model for a guess, it runs seven specialized agents in parallel, each one working a separate data stream: news, social sentiment, community discussion, structured research, macro indicators, on chain activity, and live order book data from Kalshi and Polymarket. Each agent produces its own probability estimate, and a Consensus Engine combines all seven into a single calibrated number with a confidence score and a short trade recommendation.
The tool is built for people who want an evidence based edge on event outcomes. Active traders on Robinhood Predict use it to check their own read against a structured forecast before placing a trade. Developers who want a self hostable intelligence layer can clone the code and extend it with their own agents or LLM providers. Anyone watching Kalshi event contracts or cross checking Polymarket pricing can use the public feed for a second opinion. It does not place trades for you. It formats a recommendation you can review and act on yourself through Robinhood's Agentic Trading MCP endpoint.
The core idea behind the design is that a single model prompt tends to lean on recent headlines, miss context, and struggle when evidence points in different directions. Forecast AI splits the work instead. Each agent stays inside its own domain, and the Consensus Engine applies weights based on each agent's past accuracy, then runs a calibration step that pulls uncertain forecasts back toward 50 percent rather than letting one noisy signal dominate. A Historical Memory layer stores past forecasts and outcomes so the weighting improves as more markets resolve. The project's own benchmarks report a 24 percent improvement in Brier score over a plain GPT 4 baseline under matched conditions.
What sets it apart from a typical trading bot or single prompt wrapper is the separation between analysis and execution. The system hands off a structured recommendation, action, target contract, confidence level, and risk notes, and leaves the actual buy or sell decision inside the user's own Robinhood account. The full agent architecture, prompts, and consensus math sit in the open repository, so the reasoning behind any given probability is not hidden behind a closed API. A public dashboard also shows the live consensus next to real market prices across Kalshi, Polymarket, and Robinhood Predict, so you can see how the model performs before trusting it with real capital.
Forecast AI Key features
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Seven Specialized Agents
Each agent works on one data stream: news, social, Reddit, research, macro, on-chain, and market data. They run in parallel and never mix their inputs.
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Consensus Engine
This engine combines all seven agent outputs into one probability. It weighs each agent by past accuracy and pulls low confidence forecasts toward 50 percent.
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Historical Memory
Past forecasts and outcomes get stored so the system learns which agents to trust more over time. This helps it stay accurate on markets that run for months.
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Robinhood Trade Recommendations
The consensus turns into a structured prompt with an action, target contract, and confidence level. You paste this into Robinhood's Agentic Trading MCP and decide whether to trade.
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Public Read Only API
Anyone can pull live consensus data for crypto, macro, and tech topics. Refresh times run from two hours up to twelve hours depending on the market.
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Multiple LLM Providers
The system uses OpenAI by default and switches to Gemini if that fails. It also supports Anthropic, OpenRouter, and local Ollama models.
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CLI and Server Modes
Developers run one shot forecasts, watch loops, or a full FastAPI server from the terminal. This makes it easy to fit into other tools or pipelines.
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Open Source Codebase
The full code sits on GitHub under Apache 2.0. Nobody's funds or credentials pass through the system since it only formats trade suggestions.
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$FORAI Holder Tiers
Holding the token unlocks higher analysis limits, deeper agent runs, and stronger models on the hosted version. The core software stays free and open for anyone to self host.
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Cross Venue Market Data
The Market Agent reads live prices from Kalshi and Polymarket to ground each forecast in real pricing. This keeps the consensus tied to what traders are actually paying.
Forecast AI Fees
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Core software The open source core has no license fee and can be self hosted at your own compute and LLM API cost.
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FactsAI research Optional FactsAI deep research requests cost 0.012 dollars each when enabled.
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Public API The public API is free but rate limited and capped by a server side monthly compute budget guard.
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Hosted tiers Free accounts get limited analyses, while higher analysis volume and stronger models unlock at 1,000 and 10,000 FORAI token holdings.
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Trading fees There are no platform trading fees since Forecast AI only recommends trades and never executes them.
How to use Forecast AI
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Clone the repository
Copy the codebase from the official GitHub repository.
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Run the setup command
Execute the interactive setup script to configure your LLM API keys and environment variables. You can also add an optional FactsAI key for source-backed research.
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Start the monitoring loop
Launch the public feed or a continuous watch loop using the command line interface. This begins background tracking.
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Generate a forecast
Provide a market query or identifier to generate a one-shot prediction.
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Review the consensus report
Read the final probability, confidence score, and agent reasoning. The system filters anomalies and applies calibration to the data.
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Generate the trade recommendation
Convert the consensus output into a structured trade prompt for Robinhood.
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Execute or discard the trade
Paste the prompt into an authenticated client connected to the Robinhood Agentic Trading MCP. You must manually approve or reject the action inside your own account.
Forecast AI Screenshots
Forecast AI Review
Pros
- It runs seven specialized agents in parallel so no single data stream skews the forecast.
- The Consensus Engine applies Bayesian averaging and historical accuracy weights before giving a final probability.
- Public benchmarks show a 24 percent improvement in Brier score over a vanilla GPT-4 baseline.
- Every forecast includes a short rationale from each agent, so users see the reasoning trail.
- It never places trades itself, so users keep full control of execution inside their own Robinhood account.
- The full codebase is open source under Apache 2.0, so anyone can audit or extend it.
- Users can self host the system and keep their own API keys and compute under their own control.
- It supports OpenAI, Gemini, Anthropic, OpenRouter, or local Ollama, and switches providers automatically if one fails.
- The Market Agent pulls live order books and midpoints from both Kalshi and Polymarket to ground forecasts in real prices.
- Historical Memory stores past forecasts and outcomes, so agent weightings improve over time.
- The CLI and FastAPI server let developers run one shot predictions or continuous watch loops from the terminal.
- The Robinhood Recommendation Engine formats a ready to paste prompt with action, target contract, and risk notes.
- The public read only API gives free access to live consensus data for crypto, macro, and tech topics.
- A rate limit and monthly compute budget guard keep the public feed stable and free from abuse.
- The live dashboard at forai.tech shows real time consensus against market midpoints across three venues.
- The sole official $FORAI contract address is published on the website, GitHub, and X for easy verification.
- The system holds no custody of user funds or credentials at any point in the process.
Cons
- Users must supply and pay for their own LLM API keys to run the agents.
- The tool never places trades, so users must manually copy each recommendation into Robinhood's MCP client.
- Public API refresh cycles run two to twelve hours, too slow for fast moving markets.
- The public feed enforces rate limits and a monthly compute budget cap.
- Optional FactsAI research queries add a per call cost on top of normal use.
- Higher analysis limits and stronger models are locked behind $FORAI token holding tiers.
- Local setup requires cloning the repo and configuring multiple environment variables through the CLI.
- The project is still in active development, so parts of the pipeline may change or break.
- Coverage is limited to a curated set of topics like crypto, macro, and tech.
- Users must independently verify the $FORAI contract address since no official custody or verification step is built in.
Our verdict
Forecast AI is an open source tool that runs seven agents (news, social, Reddit, research, macro, on chain, and market data) in parallel, then blends their outputs into one calibrated probability with a confidence score and a trade suggestion. The Consensus Engine is the strongest part of the design, since it weighs each agent by past accuracy and pulls weak signals back toward 50 percent instead of letting one loud data source skew the call. The project claims a 24 percent improvement in Brier score over plain GPT 4, and while that number comes from the team itself, the fact that every agent's reasoning trail is visible makes the claim easier to check than most. It falls short in one clear way: it does not place trades, so the output is only as useful as the person reading it and deciding what to do inside their own Robinhood or Polymarket account. This tool fits developers who want a self hosted forecasting layer and active traders who want a second opinion beyond the order book, but anyone looking for a bot that trades on autopilot should keep looking elsewhere.
Is Forecast AI safe & legit?
codebyollie built Forecast AI as an open source project under the Apache 2.0 license, so anyone can read the full code on GitHub. It never touches your funds or logs into your accounts; it only produces a trade recommendation that you must manually approve inside your own Robinhood session, and the team posts updates and the one official $FORAI contract address on their X account and site. No major red flags stand out, but the project is still early stage, so check the code yourself and confirm the contract address before touching the token.
X account intel @forecast_agents
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Based in Eastern Europe (Non-EU)
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Joined X October 2025 11 months ago
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Username changes 7 renames last on Jun 30, 2026
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Signup source Eastern Europe (Non-EU) App Store
Public profile signals from X. Use as one input alongside other due-diligence.
Wallet blacklist scan checked Sep 13, 2026
- MetaMask Not flagged
- Phantom Not flagged
- ScamSniffer Not flagged
- EtherAddressLookup Not flagged
- Keplr Wallet Not flagged
Domain forai.tech checked against public crypto wallet blacklists.
Forecast AI Updates
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GM, Forecasters.
I was offline for a few days. Needed some time to get my health back and recharge.
I’m back.
Back to building and shipping. A lot planned, so expect updates coming soon.
Let’s get back to work.
- 7 replies
- 1 reposts
- 19 likes
- 560 views
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GM, Forecasters.
Hope you’re enjoying your Saturday.
Working on the next update.
Should I give you a chance to run and join the next community call next week?
Also preparing a new article. A lot has changed since the last one.
See you soon. More coming.
- 8 replies
- 4 reposts
- 20 likes
- 720 views
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While working on the next update, the Execution Agent just closed the $NVDA position with a tiny profit based on the result of our @robinhoodcrypto RWA Intelligence 7-agent swarm 24H forecast.
First live execution cycle completed successfully.
Transaction:
https://robinhoodchain.blockscout.com/tx/0xa7bafa7ed1078617c2b901fdeb9947426d7c7248a09c50171dc6674e0528a677
Sharing more soon.- 1 replies
- 5 reposts
- 15 likes
- 1K views
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HM, Forecasters.
Have a productive and profitable Friday.
Building, shipping, and more coming today.
Finally back in full working mode :)
Again focused not only on development, but also on everything around Forecast AI.
Let’s keep forecasting.
- 2 replies
- 4 reposts
- 15 likes
- 594 views
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Let's build 🔨
- 3 replies
- 1 reposts
- 13 likes
- 728 views
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Quick update for $FORAI holders.
The private chat is now open.
Just log in and you’ll find the chat directly on the Governance page.
https://forai.tech/app/governance
I’m waiting for you there.
There’s a reason I want to have this chat directly on the platform. To build the habit to visit http://forai.tech again and again :)
See you there. More coming.
- 3 replies
- 3 reposts
- 13 likes
- 918 views
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I won’t keep you waiting too long. What’s next for Forecast AI.
- Opening the Governance page and launching the first votes.
- A private chat for $FORAI holders will be available directly on the Governance page.
- Part of the @ponsdotfamily fees will go to the be used to fund the Execution AI Agent for @RobinhoodApp stockstrading based on forecast agents results.
- Will keep expanding the Execution Agent’s capabilities.
Any potential revenue generated by the agent will be governed by $FORAI holders - including how it gets distributed.
For now, we’re continuing to test and gradually opening broader access to the agent.
More soon.- 1 replies
- 4 reposts
- 12 likes
- 1.2K views
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GM, Forecasters.
Happy to announce our new RWA Execution AI Agent on Forecast AI.
The agent is now responsible for executing trades based on @RobinhoodApp RWA Assets Outlook results.
https://forai.tech/app/rwa
Currently it works only with 24H RWA Asset Outlook and if the forecast meets the required conditions, the AI agent automatically swap USDG into the selected Robinhood Stock Token through @Uniswap.
At resolution, the agent automatically closes the position back into USDG.
Our first live entry test was successfully executed.
After analyzing NVDA’s tokenized stock, our agent automatically executed its first onchain purchase.
https://robinhoodchain.blockscout.com/tx/0xa829b72e158dbd60ca1002310b957f5468f5de7715cfabef26ac5940c281848c
Now we have a great opportunity to test @RobinhoodApp stocks forecasts. More coming. Sharing very soon what's next.
- 5 replies
- 3 reposts
- 20 likes
- 2.7K views
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Want to share a quick update.
I’m finishing up the full Governance page, which will go live with the first community votes around upcoming activities.
I’ll need your help testing everything and leaving feedback once it’s live.
I’m also continuing to improve the agents across both @Polymarket/@Kalshi and RWA Intelligence for @RobinhoodApp.
I think we’re getting very close to stress-testing the full agent stack and moving to the next steps.
I already have a few ideas I want to start building soon.
Back to work.
- 5 replies
- 3 reposts
- 18 likes
- 772 views
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HM Community.
Are we at the beginning of the prediction market supercycle on @RobinhoodApp?
Feels like it.
And we’re just getting started building the intelligence layer around it. Back to shipping
- 3 replies
- 3 reposts
- 19 likes
- 655 views
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Quick update on RWA Intelligence.
I’ve been improving the system behind @robinhoodapp RWA Asset Outlooks to make it more resilient.
Now short Robinhood API interruptions no longer interrupt the analysis, while the system also prevents invalid or stale prices from being used
More updates coming as I keep shipping. Next update coming is more interesting as you will be able to participate.
- 2 replies
- 2 reposts
- 18 likes
- 924 views
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First, I want to show you the first version of the Forecast AI Agent Marketplace.
https://forai.tech/app/agent-marketplace
This is not a final version and will have better look when the main tech tested and ready.
You will be able to list their own agents or rent agents created by others on a pay-per-run basis.
Each agent will have a transparent profile showing its purpose, models, data providers, verified identity, completed forecasts, resolved outcomes and Brier Score.
$FORAI holders will get discounts and also share a portion of platform fees.
This is just the first version. More details soon.
- 3 replies
- 3 reposts
- 15 likes
- 958 views
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GM, Forecasters.
Hope you’re all doing well.
I’ll be sharing separate posts with everything that’s ready from the latest updates. There’s already a pretty big chunk finished, so I’ll post it step by step.
Then we’ll move on to the next steps together.
Back to building.
- 2 replies
- 1 reposts
- 13 likes
- 587 views
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GM, Forecasters.
A new week is here, so here’s a quick recap of what we worked on last week and what’s coming next.
I’ll be honest, last week wasn’t as productive as I planned. Most of the work went into improving how the agents perform and refining the @robinhoodapp RWA Intelligence systems.
A lot was planned that didn’t get shipped, but that’s part of building.
Not stopping here.
This week is back to active building and active shipping. New features, more improvements, and we’re also starting the first community activities.
Back to work 24/7.
Have a productive and profitable Sunday.
- 3 replies
- 3 reposts
- 20 likes
- 889 views
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I want to share a bit more about where I see Forecast AI going next.
We started Forecast AI with 7 AI agents Swarm focused on @Polymarket and @Kalshi.
Since then, it was expanded into RWA intelligence and @RobinhoodApp stocks forecasts.
Going forward, I want to take this much further within the Robinhood ecosystem.
There are many things we can forecast beyond traditional prediction markets - assets, events, market movements, onchain activity, and other signals that can be connected together.
The goal is not to move away from Polymarket or Kalshi. It’s to make Forecast AI useful across a much broader forecasting surface, with Robinhood and onchain intelligence becoming a main part of that.
I think there’s a lot of interesting stuff we can build here, and I’d genuinely like to hear what you think we should explore next.
- 6 replies
- 6 reposts
- 26 likes
- 1.4K views
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Happy Sunday, Forecasters.
Touch grass today and get ready for next week.
This Sunday didn’t go exactly as planned, but I’m getting this big release ready, and next week should be a big one.
So recharge, get some energy back, and enjoy the day.
I’ll share an update on everything later today.
- 3 replies
- 2 reposts
- 14 likes
- 668 views
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Here’s how to run RWA Asset Outlook on Forecast AI:
- Log in and open RWA Intelligence - https://forai.tech/app/rwa.
- Pick any @RobinhoodApp stock token you’re interested in.
- Choose a timeframe - 24H or 7D is best for testing right now.
- Run the Asset Outlook and wait for the result.
- At the bottom of the result, open the public result page.
- Hit Publish & Copy and share the link on X.
Example: https://forai.tech/results/b06c7603-a20e-473b-a4a6-723e276c8652
Please test different stocks and share your results. Do not forget to tag Forecast AI.
I really need your feedback during these final tests. It would be greatly appreciated.- 2 replies
- 2 reposts
- 10 likes
- 1.1K views
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While getting the new release ready, you can already create your accounts at http://forai.tech/app/rwa and start testing your first RWA Asset Outlooks for the @RobinhoodApp stocks you’re interested in - including their expected price direction and key drivers.
And please don’t forget to publish your full analysis on X.
Need your feedback. It would be greatly appreciated. Maybe a small part of what's coming so you will be already involved.
- 1 replies
- 3 reposts
- 18 likes
- 2K views
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GM, Forecasters.
Hope you get to touch some grass today.
Are you waiting? I’ll need your help soon. Keep an eye out for the call.
I want to make sure everything works properly before I let you use it. Final tests now.
Not the best week on my side, but we’re just getting started. Keep building.
- 1 replies
- 1 reposts
- 12 likes
- 556 views
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GM, Forecasters.
This week is going a little differently than planned, so I'm sorry for the delays.
All updates are already deployed. I’m currently testing everything and making the final adjustments before sharing it all with you.
More soon. Have a great day.
- 1 replies
- 5 reposts
- 19 likes
- 1K views
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