AUTOMATION / ANALYTICS / EXECUTION RESEARCH

The market moves.
We study it.

Zoupr Systems is building an adaptive Solana intelligence engine: a spider that observes market signals, tracks wallet activity, studies routes and costs, and feeds an evidence-driven research team. See how the system thinks, and follow its paper-trading experiments as they happen.

EXPLORE THE LIVE LAB ↗MEET THE SPIDER

SOLANA MARKETSWALLET INTELLIGENCEMULTI-AGENT RESEARCHPAPER SIMULATION • NO LIVE ORDERS

01 / THE SPIDER

One network. Multiple lenses.

Signals are observations, not trades. The spider's job is to turn a noisy launch stream into measurable evidence before any entry is considered.

01 — RADARMarket discovery

Observe new listings and indexed Solana activity. Record where and when the signal appeared.

02 — WALLETFlow intelligence

Index observed wallet buys and clusters. Rankings are research inputs, not proof of wallet profits.

03 — GUARDRoute & risk

Evaluate liquidity, quotes, estimated transaction costs and signal freshness. Reject weak setups.

04 — PAPERExecution models

Compare simulated entries and exits without signing a transaction or using real money.

05 — BRAINFeedback loop

Record outcomes, classify failure modes, and test challenger ideas against later evidence.

System map illustrates the research pipeline. It is not a replay of actual blockchain transactions or a claim that every component is currently online.

02 / RESEARCH CREW

The workers behind the web.

Each Python worker has a narrow assignment and writes evidence into the Obsidian brain. Model reviewers read these records; they don't create profits by assertion.

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Winner Miner

Studies favorable paper outcomes, looking for repeatable entry traits rather than isolated lucky trades.

Failure Hunter

Classifies the conditions behind losing setups and checks whether apparent patterns recur.

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Exit Analyst

Studies exits, holding periods, partials and stop behavior to understand how trades resolve.

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Cost Analyst

Measures estimated execution friction: spread, liquidity, impact and round-trip costs.

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Code Researcher

Audits whether the active code actually applies the strategy rules the research intended.

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Experiment Worker

Frames hypotheses and compares controlled paper experiments without rewriting rules blindly.

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Wallet Observer

Tracks partial indexed wallet evidence and separates observed swaps from unverified returns.

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Brain Librarian

Maintains research notes, links evidence to tests and keeps the shared memory navigable.

QWEN / LOCAL CRITIC

Review, challenge, verify.

Qwen can review new measured evidence and propose hypotheses. Reviews are gated and do not autonomously authorize real trades or self-promote a strategy.

GROK / BOUNDED RESEARCH

Independent second opinion.

A separate, budget-limited paper research experiment compares model judgments against control decisions. Availability depends on the experiment's own state and limits.

LIVE WORKER PULSE / FRESHNESS CHECKED

SPIDER

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Checking source feed

PYTHON CREW

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Checking evidence workers

QWEN CRITIC

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Checking reviewer

GROK RESEARCH

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Checking independent paper model

03 / OBSERVATION DECK

Live paper research feed.

Data comes from published laptop observations. Refreshing does not manufacture trades; activity cards show pauses and stale data plainly.

MAIN PAPER RUNNER

Checking

Awaiting verified snapshot

MARKET FEED

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Current discovery state

RESEARCH MEMORY

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Evidence and review status

SIMULATION MODE

PAPER ONLY

Syncing public snapshot…

PAPER ORDERS / ACTIVITY TIMELINE

Observed buy & sell events

Paper buyPaper sellLast 24 hours

SPIDER PULSE

Current entry funnel

OBSERVED WATCHLIST—

CANDIDATES ARMED—

PAPER BUYS / CURRENT RUN—

Current-run counters. Not on-chain buys, not cumulative platform totals.

LIVE TRADE TAPE

Follow the paper entries.

Checking recent paper activity…

TIME (UTC)EVENTCOINSTRATEGYSIZE

Loading sanitized paper trade events.

Entries in this tape, when present, are simulated research events or modeled fills, not verified live transactions. No real-money execution or profitability is implied. Source timestamps and update status are shown to avoid presenting stale runs as live.

04 / THE METHOD

Measure first. Evolve second.

Every useful advancement should come from repeatable research, not a dramatic screenshot or a favorable outlier.

01 / OBSERVE

Gather raw market evidence.

Market feeds and indexed wallets supply candidates. A signal is only an invitation to test, not a buy command.

02 / EVALUATE

Model executable costs.

Route checks, estimated slippage, quote availability and position sizing determine whether a proposed paper entry is worth evaluating.

03 / COMPARE

Use controlled paper trials.

Challenger policies are judged on forward evidence, with real pauses, zero-trade periods and failure modes preserved in the underlying research record.

04 / DOCUMENT

Feed the Obsidian brain.

Python research roles categorize outcomes; Qwen and experimental model tools can critique evidence under bounded permissions.

VIEW THE RESEARCH BRAIN ↗DEVELOPER DASHBOARD ↗

JOIN THE DEVELOPMENT FEED

Build in public. Test in paper.

Follow development updates, paper-trading experiments and the community on Discord.

JOIN DISCORD ↗

The market moves.We study it.