We built a quantitative market forecasting engine, and named it Aura.
We plugged an AI agent into Aura, and gave it $10,000 to trade tokenized stocks on Seer's native infrastructure.
72% in 1 week.
$SEER, live on Robinhood Chain: 0x9B0e4762B4cc7C05331b561032F1cb4C37607543
Watch as we take an AI agent from market research, to trade execution, all powered by Aura's incredible analysis engine.
Aura's state-of-the-art web search tool retrieves the latest news, opens articles and analyses original sources, all in real time.
Aura's market analysis and forecasting capabilities are the result of our in-house trained models, Sronok and FiYi. Trained on more than 2 billion technical data points and chart observations, these are the underlying infrastructure rails that will give your agents seamless insight into the markets.
We will be adding significantly larger datasets to this engine, alongside additional data points.
Our goal is to provide an all-in-one financial layer for agents trading tokenized stocks.
From Seer's raw agent infrastructure, to Aura's remarkable intelligence.
9 days.
The agentic finance space is starting to attract major capital, despite a lack of tangible products.
- @catalystapp raised $30M through a multi-led pre-seed.
- @volaren_ai raised $1M through a Y Combinator-backed pre-seed round.
Neither of these companies have a launched product available to the broader market (simply a waitlist), with both operating within a much narrower scope than Seer.
Unlike the aforementioned start-ups, we're building the complete financial layer for agents, from intelligence and portfolio management to risk management, execution and settlement.
But the advantages of Seer run much deeper:
Proprietary intelligence:
Aura is our in-house quantitative market intelligence engine. We're not simply wrapping an LLM around market data, we're developing the underlying intelligence ourselves, in-house.
A complete financial stack:
Seer brings the entire agentic financial lifecycle together. Agents can access intelligence, develop strategies, manage portfolios, operate within defined risk parameters and execute trades through one consolidated platform.
Open to different agents:
Most agentic platform build around a single proprietary agent. Seer is designed to support both native Seer agents and external agents, giving developers flexibility in how they build while providing the financial infrastructure underneath.
Accessibility beyond developers:
We believe agentic finance shouldn't be limited to people who know how to build and deploy agents. Our goal is to make the entire experience accessible to everyday users through a simple, unified interface. Something which has never been attempted.
User-controlled financial authority:
Intelligence and execution are two fundamentally different things. Users should remain in control of how much authority an agent has, what it can access, how much capital it can deploy and when human approval is required.
Seer seeks to build intelligence and financial infrastructure that allows an entire ecosystem of agents to participate in financial markets, not just a 'trading ai agent'.
This is where the opportunity lies.
This is where Seer is building.
9 days.
Seer's intelligence is powered by Aura.
Aura combines multi-source market data and real-time intelligence to give agents the insight they need to make informed financial decisions.
From portfolio construction, to autonomously executed trades.
Powered by Seer.
150,000+ people have opened accounts for AI agents to trade for them.
The agents can:
- Run their strategy
- Rebalance their portfolio
- Look for opportunities
@RobinhoodApp CEO @vladtenev on No Priors.
Seer derived agents will be capable of researching on the live web.
Why? Because we've integrated the worlds most advanced web search and source-reading technlogy capabilities into Seer, giving agents the tools to investigate catalysts, open original announcements, cross-check reporting and connect news with real-time sentiment on X.
Agents can follow evidence, investigate contradictions and turn their findings into a concrete trade proposal, with your approval triggering execution and risk management.
This is just one of the many ways Seer helps agents understand the financial landscape in which they trade.
T-Minus 11 Days.
Aura opened a short position on NVIDIA at $184.61, on November 5th, as seen in the video below.
With NVIDIA trading at $176.36, the position is currently sitting at approximately +4.54% unrealized profit.
This is a live example of Aura identifying market opportunities and translating quantitative intelligence into actionable trading decisions.
Soon, this intelligence will be available to our users, alongside the tools needed to implement it.
Free your mind of what you thought was possible through agentic trading.
Multi-source market data, quantitative forecasting, prediction market signals, real-time financial intelligence, and the lowest latency in the industry.
This is whats necessary to build Aura.
This is whats required to power your agent.
This is what we are building at Seer.
Coming soon.
We are deep in our R&D phase, actively exploring the capabilities of agentic intelligence through Seer-OrA, and are very excited about what we are finding.
Seer will offer many tools centered around our findings, with the most important aspects of each backtested strategy being implemented. Our goal is to offer the very best, real time, low latency intelligence directly to user agents, or Seer derived agents.
But beyond this, we will also be offering the infrastructure, inference provision, settlement layer, payment rails, and risk management tools necessary for agents operating within finance, or any money dependant industry.
Seer will not be limited to agents solely trading within finance, but agents that handle money, need LLM's (inference), or need private execution.
Our vision for Seer is monstrous, and that is exactly why people are finding it hard to believe (I wouldn't have it any other way).
Watch this space.
Aura's agentic trading activity resulted in a $6,522.26 net profit between August 17–21, and that entire dataset is now live on the Seer GitHub.
Starting with $10,000, Aura finished the period at $16,522.26, representing a 65.22% return after fees and modeled slippage.
Across 147 closed trades, the system recorded a 62.6% win rate, a 3.00 profit factor and a 13.51% maximum observed drawdown.
We've published the raw JSON unchanged, alongside a readable summary and a full replay of the trading activity. You can follow the decisions, entries, exits and balance changes trade by trade.
We've shared as much as possible without exposing the proprietary models, feature engineering and orchestration behind the system.
Explore the report yourself, as you will soon be accessing this intelligence yourself: https://t.co/7nMwZNUnm6
We believe the future of finance will involve an ecosystem of specialised agents operating across different markets, strategies and financial applications.
Over time, this could create opportunities for agents to become discoverable, evaluated through transparent track records and selected according to their capabilities.
This is a longer-term vision, but the infrastructure required to support that ecosystem needs to be built now, and it's being built by Seer.
END🧵
Seer is so much more than just "an agent trades for me".
Seer is building the financial infrastructure for the agentic era.
An all-in-one financial layer designed to give AI agents the tools, intelligence and infrastructure to participate in financial markets.
Here's how it works. 🧵
However, autonomy without boundaries is not a financial infrastructure strategy.
Users need to be able to define how their agents are allowed to operate.
Seer's approach includes configurable trading parameters, risk constraints and permissions that establish the boundaries within which authorised agents can act.
The objective isn't to remove human oversight, but to give users control over the capital and permissions their agents operate with.
6🧵
Seer-OrA is our research engine for developing quantitative trading intelligence that will eventually be pushed to Aura.
We’re pairing financial forecasting models with LLM controllers, giving each combination its own simulated portfolio to make autonomous decisions under identical market conditions.
Our starting points include our own Sronok pretrained on more than 12 billion candlestick records across 45 exchanges, and FiYi, trained on more than 20 billion time-series observations. We benchmark them against LightGBM to measure what each architecture contributes.
OrA exposes the recorded decision process, forecast vectors, controller responses, inference latency and trades projected directly onto the chart. Performance includes commissions, modeled slippage and inference costs.
We’ve also initiated domain-specific fine-tuning, controller training and repeated testing on unseen periods. We can identify where predictions fail, where agents misinterpret signals and which changes improve decisions.
The goal is to combine this quantitative intelligence with SEER’s news, social and market research, giving agents stronger evidence for when to act, how much risk to take and when to stay out.
So far, we have had huge success with this approach, but look to refine it further before our official MVP launch.
Coming very soon.
The world is adopting agentic AI at a staggering rate. By 2030, over 75% of institutions are expected to use agents to trade.
Soon, financial markets will be defined by autonomous intelligence, and agentic trading.
Seer provides the complete, private, financial stack for agents, from intelligence and portfolio management to risk management, execution, and settlement.