Convik Beta goes live on Thursday
An agent-managed index that re-underwrites your thesis before it trades, built from tokenized stocks on Robinhood Chain.
Every position earns its weight, every decision comes with a reason, and holding still counts as a decision it has to justify.
Convik Beta goes live on Thursday
An agent-managed index that re-underwrites your thesis before it trades, built from tokenized stocks on Robinhood Chain.
Every position earns its weight, every decision comes with a reason, and holding still counts as a decision it has to justify.
Just shipped a full UI refresh + a live agent that actually runs your money:
→ Re-underwrites your basket every day. It reviews the thesis and rebalances as conditions change
→ Deploys across tokenized stocks + cash
→ Monitors every position inside its bands and acts only when it should
→ Gas sponsored. Every move verified onchain.
👇 Comment "IN" for early access.
The ecosystem said it better than we could: describe your thesis and it builds a weighted portfolio, re-underwritten daily by a live agent.
That’s the whole product. $CONVIK
Most AI investing tools hallucinate confidence.
Convik shows its work: bull case, bear case, and dated facts for every position.
When the evidence is thin, it tells you: "insufficient recent evidence."
An agent that admits what it doesn't know. Tap any row for the reasoning.
Every index you build on Convik is private by default.
Keep it to yourself, or publish it to explore where it can be mirrored by anyone with same positions, same logic, their own funds, their own custody.
Follow the theses you believe in or let others follow yours
$Convik is building the agent intelligence layer on top of tokenized assets. When facts change (acquisition, new listing, thesis drift, grid capacity issues for AI infra, etc.), @convik_ai agents rotate holdings and writes down the exact reasoning + onchain transaction hash.
Eg. It might trim exposure to platforms and rotate into power because “grid capacity is the binding constraint.” This is much more advanced than typical “AI portfolio” agents that just rebalance weights.
Templates Available:
Mag 7 (agent-weighted, not cap-weighted)
AI Infrastructure
Dividend Aristocrats
Power & Grid
Smart Angles
Re-underwriting > Rebalancing
Most agents just adjust weights.
Convik actively questions and rewrites the thesis when reality changes.
This is a meaningful technical edge. Mirrorable Private Indexes. The private-by-default + publish-to-mirror model creates a potential social layer without forcing shared custody.
This could become powerful if adoption grows.
Robinhood Chain + Tokenized Equities Timing
$Convik is one of the first serious agents built specifically for Robinhood’s tokenized stocks/ETFs.
Combined with @IxsFinance planned expansion to @RobinhoodApp Chain (per their H2 roadmap), this creates a natural infrastructure fit.
Heavy emphasis on recording every decision with tx hashes and reasoning. This fits perfectly with regulated/compliant use cases (relevant to the IXS angle). @virtuals_io
https://t.co/n3m7om02SQ
https://t.co/oOS3KcBPDC community x group
Today is a big milestone.
Convik is now live on @virtuals_io
We built Convik around a simple belief: investing starts with conviction, not tickers.
The token is now live, and the product beta follows in a few days.
Excited for what's ahead.
Convik is now live on @virtuals_io.
Describe an investment thesis. Convik builds a weighted portfolio of tokenized stocks & ETFs.
https://t.co/sSiLHQFn2x
Imagine describing an investment thesis once and watching it become a living portfolio that continuously adapts as markets evolve.
Tomorrow @virtuals_io@RobinhoodCrypto
Investing starts with a conviction.
Convik turns that conviction into an agent-managed portfolio of tokenized stocks & ETFs.
Research.
Allocation.
Execution.
Continuous adaptation.
Here’s a look at what we’re building.
More soon.
Everytime I explain what we’re building, I realize we’re not really building a trading product.
We’re building a new interface for capital on @virtuals_io and @RobinhoodCrypto.
That realization changes how I think about every product decision we make.
@convik_ai Everything we're building at Convik started with one question:
What happens when AI agents become participants in financial markets instead of just assistants?
This article is our attempt to answer that question.
I don’t think the biggest buyers of tokenized stocks will be humans.
They’ll be AI agents.
Humans will define the investment thesis.
Agents will do the research, construct portfolios, execute trades, and continuously adapt as markets evolve.
Comment "conviction" for access