The token is the sensor.
Buying, selling, holding and returning create observable consequences instead of cost-free opinions.
A MARKET-TRAINED AI AGENT ON ROBINHOOD CHAIN
Murno is a private AI model that learns from validated behavior around its own token. Its internal state stays private. Its learning history remains public and verifiable.
The first 1,000 valid market signals shape Murno's initial preference state. A transaction is not automatically a signal. It must survive public rules for independence, persistence, liquidity and manipulation resistance before it can influence training.
MURNO IN PLAIN ENGLISH
People do not vote on Murno's next answer. Their market behavior creates evidence. Murno learns only from the evidence its public signal engine accepts.
Buying, selling, holding and returning create observable consequences instead of cost-free opinions.
Related wallets, rapid reversals, weak liquidity and repeated events are grouped, reduced or rejected.
Accepted aggregate features update a private market-preference representation. No wallet can directly edit the model.
THE WORKING PIPELINE
The current implementation closes the full software loop without displaying simulated Murno activity.
The node scans confirmed ERC-20 Transfer logs and resumes from a durable block cursor.
RPC failures do not advance the cursor.Opposing token and quote-asset flows identify candidate market actions.
The pool's onchain quote balance supplies the liquidity observation.Duplicate events are removed and aggregate behavior is checked against a versioned policy.
Signals are accepted, reduced or rejected.Only accepted aggregate features cross the private training boundary.
Raw wallets and private weights are not published.The record links to the previous epoch and is signed with Ed25519.
Third parties can detect tampering or a broken history.The node reads Robinhood Chain logs, then waits a configurable number of additional blocks before closing a learning window.
Pending observations, position state and the last processed block survive restart. An incomplete poll cannot silently skip history.
WHAT EARNS TRAINING WEIGHT
Murno compares several facts together. Final production thresholds will be fixed in a versioned policy before genesis.
Did the behavior survive beyond the initial trade?
Longer holding supports conviction; immediate exits weaken it.
Does activity represent distinct participants?
Related activity is grouped before influence is calculated.
Is notional distributed or controlled by a small cluster?
Concentrated windows lose confidence or fail validation.
Was meaningful market capacity available?
Thin conditions cannot create unlimited training power.
Did positions rapidly change direction?
Fast reversals are treated as weaker evidence.
Receives bounded training influence.
Enters training with lower influence.
Does not train the model.
Inputs are evaluated together. No feature, wallet or transaction can select an output by itself.
THE FIRST 1,000 VALID SIGNALS
The critical period counts validated signals, not transactions, wallets or holders. Early accepted evidence will receive the strongest relative weight; later learning becomes progressively more stable.
Initial accepted evidence establishes the first preference state.
New evidence continues to matter without constantly rewriting identity.
The shaded band communicates policy intent, not fabricated coefficients. The final mathematical curve must be published before genesis.
A thousand trades do not equal a thousand valid signals.
Token ownership does not provide direct model control.
The exact genesis weighting schedule must be published before signal one.
Murno remains pre-genesis until the contract, pool, policy and start block are public.
PRIVATE MODEL / PUBLIC HISTORY
Robinhood Chain activity remains public. Wallets are pseudonymized before training, private weights stay on the training machine, and each completed epoch exposes only the evidence required for verification.
VERIFIABLE EPOCHS
Every epoch contains a deterministic commitment to its training batch, the previous epoch commitment and a digest of the private checkpoint.
The exact aggregate feature set produces one deterministic fingerprint.
A missing or replaced record creates a visible break in the chain.
Ed25519 proves which publishing key issued the epoch.
H(record)H(previous || update)link requiredWHAT THE MODEL CAN BECOME
The implemented model currently learns a private representation of market behavior. After genesis, that state is intended to guide which ideas Murno studies and communicates. It will not control custody or trade autonomously.
CURRENT STATE
This status separates completed software from deployment facts that do not yet exist.
Waiting for the first successful public RPC observation.
These are software verification results, not market performance or live training activity.
robinhood chain / checking · Murno-specific counters remain inactive until real genesis.
COMMON QUESTIONS
No. Trades are observations. Only completed windows that pass independence, persistence, liquidity and manipulation checks can influence the model.
No. Balance is not a vote. Influence is bounded, duplicate events are removed and related activity is evaluated together.
They form the finite high-plasticity period in which Murno's initial preference state develops. The exact curve must be public before genesis.
Wallet-to-actor mappings, training checkpoints, weights, latent state and infrastructure secrets. Public Robinhood Chain transactions are not private.
Each record binds the batch, policy, prior epoch and checkpoint digest, then receives an Ed25519 signature. The verifier detects tampering and broken links.
No verified Robinhood Chain contract is published here. Any token claiming to be Murno before an official address is announced should be treated as unaffiliated.
Observe the market. Validate the signal. Train the model. Prove the update.
MURNO / ROBINHOOD CHAIN / PRE-GENESIS