Dolores Research

The Benchmark standard for Agentic Trading
Live on @virtuals_io

[Dolores Research @DoloresResearch]

Introducing $DOLORES.

Dolores Research is the crypto-native research lab for agentic trading.

Now live on Robinhood Chain through @virtuals_io

https://t.co/3PFnoO8mFG

[Dolores Research @DoloresResearch]

We are finishing up internal testing and will be rolling out WAGMI Bench V2 in the coming week, bring your agents and see how it performs!

[Dolores Research @DoloresResearch]

AI has benchmarks. Markets have consequences.

A short thread on what a benchmark actually is, why every serious AI model has one, and why a trading agent needs one 🧵

[Dolores Research @DoloresResearch]

When we are Benchmarking models and agents at Dolores Research, we want to know:

Did it survive.
Did it get liquidated.
How far down did it go.
What did fees and funding cost it.
And did it beat simply buying and holding.

That last one is the bar almost nobody measures against.

[Dolores Research @DoloresResearch]

Very early look at Dolores Arena

You get the chance to build your own trading model with Dolores evals. PVP with other contestant to be the best

More info coming soon

[Dolores Research @DoloresResearch]

Very early look at Dolores Arena

You get the chance to build your own trading model with Dolores evals. PVP with other contestant to be the best

More info coming soon

[Dolores Research @DoloresResearch]

Decentralised, agentic future

[Johann Kerbrat @JohannKerbrat]

We built Robinhood Chain on the thesis that users wanted to bridge the gap between traditional finance and the decentralized future. $1.5B in Stock Token volume is proving us right.

[Dolores Research @DoloresResearch]

For v1 of WAGMI Bench, we deliberately chose "Why Conduct, not profit" as historic PNL's can reward memorization during pre-training, meaning models can match PA's to events as a way to cheat the benchmark.

As we are running internal bench on V2, we will be shifting more to PNL measurement that knows when profit is lying and the agent just got lucky.

Here is an excerpt from our paper on V1.

[Dolores Research @DoloresResearch]

Link to full paper:

https://t.co/Oumvopk8vK

[Dolores Research @DoloresResearch]

For v1 of WAGMI Bench, we deliberately chose "Why Conduct, not profit" as historic PNL's can reward memorization during pre-training, meaning models can match PA's to events as a way to cheat the benchmark.

As we are running internal bench on V2, we will be shifting more to PNL measurement that knows when profit is lying and the agent just got lucky.

Here is an excerpt from our paper on V1.

[Dolores Research @DoloresResearch]

Dolores Research is trending number one on @fomo

[Virtuals Protocol @virtuals_io]

SWE-bench for trading agents.

Dolores Research studies how AI agents behave when given a wallet and told to trade. Their benchmark replays thirteen recorded stretches of the BTC perpetuals market, from the COVID crash to the ETF approval, and runs each agent through them under identical rules, with every decision sealed so anyone can reproduce the result.

The whole thing is open source under Apache-2.0, live on Virtuals Protocol.

[Dolores Research @DoloresResearch]

Payments are becoming agentic.
Trading is becoming agentic.
Markets are becoming agentic.

Major exchanges are rolling out infrastructure that allows agents to hold capital, call tools and execute around the clock.

Autonomous systems are becoming market participants.

The institutions evaluating them should be independent of the exchanges routing their orders, the brokers monetizing their activity and the closed AI labs building their models.

Dolores Research is a crypto-native, people-backed research lab building open benchmarks for agentic trading and the public measurement layer for machine markets.

A shared language for developers, capital allocators and markets to evaluate autonomous traders.

$DOLORES is now live on @virtuals_io.

https://t.co/AtrKutNFxg

[T.P @0xTP91]

Markets are becoming agentic and we hearing the buzzword agentic finance too.

Excited to see @DoloresResearch bringing independent, crypto-native benchmarks to agentic trading.

Looking forward to this.

[Hermes @0xHermes_]

Having left crypto for AI research a year back, to me this is the perfect time to come back into crypto

Markets are becoming agentic, agentic payment, agentic trading, big exchanges rolling out infra allowing agent to trade

The institutions that measure autonomous traders should not belong to exchanges, brokers, or closed AI labs

@DoloresResearch is a crypto-native, people-backed research lab building the benchmark standard for agentic trading

We have some exciting product I will be sharing in the coming weeks, haven't been this excited about crypto since 2021

[Dolores Research @DoloresResearch]

2% of the $DOLORES supply is allocated to $VIRTUAL stakers, distributed according to veVIRTUAL holdings.

The people already committed to the agent economy are part of Dolores from day one.

[Dolores Research @DoloresResearch]

Introducing $DOLORES.

Dolores Research is the crypto-native research lab for agentic trading.

Now live on Robinhood Chain through @virtuals_io

https://t.co/3PFnoO8mFG

[3DMax @3DMax_Virtuals]

Bought some $dolores by @0xHermes_
Good dev followers
Dolores Research is the crypto-native research lab for agentic trading
under 250k mcap

https://t.co/UBAvbVf7VE

[Dolores Research @DoloresResearch]

Official contract:

0x23F1AD82BdB58F7524B6E76bDf5406267EF24413

[Dolores Research @DoloresResearch]

Introducing $DOLORES.

Dolores Research is the crypto-native research lab for agentic trading.

Now live on Robinhood Chain through @virtuals_io

https://t.co/3PFnoO8mFG