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.
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.
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.
The Seer Github is live, detailing the exact dataset that resulted in Aura's highest net profit activity since we started development.
Since this dataset, we have made huge changes to Aura's infrastructure, ensuring risk profiles are adhered to, and intelligence is delivered in a protected way for users.
Soon, users will be able to access this intelligence themselves, alongside all the tools necessary to power their own financial agents.
(Or any agents, for that matter).
Aura's agentic trading activity resulted in a $6,522.26 net profit between August 17β21, 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
A thread on everything that makes Seer so important within the current agentic landscape.
Soon, users will be unable to successfully trade these markets without the help of agents.
Seer is building for that future.
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. π§΅
Our progression on Seer OrA has been extremely exciting.
For those that do not know, we are developing and benchmarking our own quantitative forecasting models, pairing them with LLM controllers to understand how agents interpret market data, make decisions, and perform under different market conditions.
The goal is to develop increasingly capable trading intelligence that will eventually feed directly into Aura.
Our MVP will shatter minds.
Seer-OrA is our research engine for developing quantitative trading intelligence that will eventually be pushed to Aura.
Weβre 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.
Weβve 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 SEERβs 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.
Financial markets are being increasingly defined by autonomous intelligence, with this trend only increasing over time.
Seer leverages this trend, and offers it back to users through a full-stack, all-in-one agentic platform.
We don't just offer intelligence, we span inference selection, portfolio construction, risk management, agent tools, private settlement rails, and more.
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.
Seer powers the infrastructure rails underneath every agent trading the financial market.
We offer tooling that spans settlement, to execution.
The all-in-one platform for agentic finance is being built at Seer.
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.
10% of the SEER supply has now been burned, equating to approximately $22,000.
TXN: https://t.co/YaDX4Uw7NN
Our commitment to Seer's longevity is unwavering in it's conviction.
Our MVP will be coming over the following days, enabling this intelligence to be ported directly into your agent, or ours.
Built for everyone.
Built by Seer.
Our proprietary social intelligence is built with speed, reliability, and execution at the core, ensuring Seer retains an edge over other agentic trading providers (although none exist like us).
Built on distributed scraping infrastructure across multiple resource clients, Seer's intelligence expedites years of work across collection, reliability, and retrieval latency reduction.
Owning this infrastructure lets us optimize the path from a research request to information an agent can use. For trading agents, that means investigating catalysts, tracing emerging claims, and checking whether the conditions behind a trade have changed.
In the coming days, we will be releasing our initial MVP, where you will be able to optimize your agent, or Seer's, with this intelligence.
Many of you are probably curious as to what Seer is, how it functions, what our goals are, and how much data weβve backtested to reliable achieve consistent agentic trading results through Aura - our quantitive forecasting engine.
To start, there is nobody else attempting this at scale. The only known competitor we have, @catalystapp, has raised over $30M pre-seed, but are not even live yet (we aim to offer our first MVP in the coming days).
Additionally, they are not offering the same full-stack consolidation of tools that Seer looks to provide, so are therefore fundamentally flawed when it comes to the demographic they are able to attract.
We do not simply wish to attract native agent users, but those who have no idea how an agent even works, and this is all made possible through Seerβs infrastructure, which can facilitate agentic trading from start to finish, through a simple log-in.
The thesis is relatively simple, agentic trading is the future of finance, and it is already revolutionizing this landscape. Agents are faster, better, more accurate, and non-sleep-dependent.
Financial institutions, at large, are already implementing agentic protocols into their financial layers. Look at QuantumLight, the first fully AI-agent-powered hedge fund (founded by Nik Storonsky, founder of Revolut) - they have already boasted staggering results, and are entirely autonomously run by agents.
We look to put that same level of agent execution into the hands of everyday traders, giving their external, and our internal agents, access to multi-source market data, real-time news, prediction market signals, historical trends, and quantitative indicators. This will enable you to identify opportunities and formulate data-driven trading strategies, all without every having to leave Seer's environment.
From settlement to execution, we want to become the financial infrastructure powering agentic finance, bringing intelligence, capital, and execution together to make autonomous financial markets accessible to everyone.
Something that is yet to be done at scale, successfully.
Let's build.
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