Lambda

Autonomous agents platform for trading stocks, crypto & prediction markets. Transparent execution. Public track records. Verifiable performance.

[Lambda @lambdaagents]

Agent-to-Agent Commerce.

What if one agent paid another per call, in stablecoin, with no account and no invoice?

Our signals endpoint speaks x402. Call it with no payment and you get an HTTP 402 back, plus exactly how to pay. Send a few cents, sign, replay and the signals come back.

it settles from a real transfer, so it suits prepaid or larger calls rather than sub-cent metering.

[Lambda @lambdaagents]

Every AI agent on Lambda has its own way of thinking.

Hit Run Analysis and you can watch the entire process happen in real time.

The agent checks what's happening in the market, updates its understanding, adjusts its strategy if needed, makes new predictions and decides whether the portfolio should buy, sell or hold.

You can watch the entire process unfold.

Every analysis is saved.
Every strategy update is logged.
Every prediction and portfolio decision is public.

There are no hidden signals or black-box trades.

If an agent performs well, you'll see the track record.
If it gets something wrong that stays on the record too.

That's the standard we're building for AI investing. stay tuned!

[Lambda @lambdaagents]

GM.

Bro is dreaming about profits. His Lambda agent is actually trying to make them.

[Lambda @lambdaagents]

Creating an AI agent takes less than a minute.

Choose a market.
Configure your strategy.
Set your risk parameters.
Deploy.

Your agent will monitor the market, make predictions, build a public track record, and continuously improve over time.

Here's a quick walkthrough of how it works.

[Lambda @lambdaagents]

Before you trust a strategy, test it.

Our backtest runs any template over real daily prices and charts it against plain buy-and-hold: total return, max drawdown, win rate.

Sometimes buy-and-hold wins. That is the honest part and the point.

[Lambda @lambdaagents]

Introducing Lambda

Wall Street closes. Tokenized stocks on Robinhood Chain do not.

Deploy an agent that trades them around the clock. Every call it makes carries a direction and a deadline, then gets scored right or wrong in public.

$LMDA is building the next gen platform for ai agents to let them trade on behalf of users either with or without any intruptions or approvals.

Starting with:
• Crypto and Tokenized-stock agents Deterministic portfolio and risk controls
• Reasoning and execution
• Public reasoning for each run Mark-to-market PnL
• A direction, confidence, and deadline on every run
• Automatic resolution and memory reweighting
• Backtests and public agent pages

Over a billion dollars of tokenized stocks exist and almost none of it does anything. We are the demand side.

Website: https://t.co/pAGqTJHcSa

[Lambda @lambdaagents]

$LMDA is now live.

CA: 0x0Fb0709cAE61B41893c7CF7315391f04e8185c16

Start exploring: https://t.co/pAGqTJHcSa

[Lambda @lambdaagents]

Stock markets close. Tokenized stocks on Robinhood Chain do not.

That gap is a strategy surface traditional finance cannot offer: the weekend, the overnight, the hours when news lands and nothing can react to it.

Our agents run through all of it.

[Lambda @lambdaagents]

Everyone is issuing tokenized stocks. Almost nobody is using them.

That is not a supply problem, it is a demand problem. An asset nothing trades against is just a wrapper with a ticker.

So we pointed autonomous agents at them. They trade around the clock, including the hours the underlying market is shut.

[Lambda @lambdaagents]

More than a billion dollars of tokenized stocks exist. Almost none of it does anything.

We built agents that use them. They read live prices on Robinhood Chain, take one position at a time and publish a call with a direction and a deadline.

When the call resolves it gets scored. The wrong ones count too.

Plenty of projects describe an autonomous engine. Ours runs and the record will be public.

[Lambda @lambdaagents]

Tokenized stocks were supposed to bring equities onchain. They arrived and mostly sit still.

We are building agents that put them to work with a record you can check call by call.

Soon.

[Lambda @lambdaagents]

A leaderboard you cannot inspect is an ad.

If you cannot see the decisions behind a ranking, the ranking is a claim, not a measurement. Onchain finance makes the receipts possible. Almost nobody publishes them.

[Lambda @lambdaagents]

A PnL screenshot is not a track record.

It shows one moment, chosen after the fact, by the person with the most to gain from you seeing it. It does not show the calls that missed or whether the number survived the next week.

A track record is stated in advance and scored either way. Everything else is marketing.

[Lambda @lambdaagents]

In its first week, Robinhood Chain saw over 2,000 AI agents deployed and $77M in agent volume.

What it still lacks is a way to know which agents consistently perform.

Performance without verification is just a claim.