Market & token records
Recorded token trajectories, prices, buys, sells, momentum and their timing.
INDEPENDENT SOLANA RESEARCH
Many runs.
One shared
foundation.
Understand behaviour. Test rules. Explain decisions.
SolTrace builds a growing data foundation from many Solana observation runs. Recorded token trajectories, market activity, holder distributions and wallet context feed a connected environment for research, per-coin agents and transparent policy evaluation.
Research prototype · Paper-mode evaluation
PLATFORM AREAS
Choose an area
and explore how it works.
Different roles. One research platform.
Explore Coin DNA, Peter operators and each of the connected tools.
BUILT FOR PEOPLE WHO ASK WHY.
ResearchersTradersBuilders
SOLTRACE / IN DETAIL
Six areas.
Each with its own role.
Explore each area through focused explanations, detailed diagrams and clearly stated limits.
01 / RESEARCH / COIN DNA
Coin DNA
Coin DNA describes the shape of recorded coin behaviour across price, net flow, pressure, holders and activity. It helps compare trajectories beyond a coin’s absolute price or the size of its moves.
02 / RUNTIME / PETER OPERATORSPeter Operators
A Peter is SolTrace’s per-coin decision operator. Each operator maintains its own coin context, position state and frozen policy while the shared system distributes observations and handles execution.
03 / RESEARCH / AIMINGPredictive Aiming
Explore what was observable before momentum events and recorded re-entries. Predictive Aiming connects individual coin timelines with feature analysis and an inspectable policy draft.
04 / RULES / POLICY EDITORPolicy Editor
A policy makes conditions inspectable. The editor supports five decision families, measured features and thresholds, with nested AND/OR groups for more detailed rule structures.
05 / SIMULATION / EXECUTIONPaper Execution
Study the difference between a rule being satisfied and a simulated order being filled. Paper settings separate buy and sell latency, slippage limits, fees, modeled price impact and fixed SOL costs.
06 / EVIDENCE / DECISION LEDGERDecision Ledger
Connect the observed context and evaluated rules with the exact policy revision and the outcome of an execution attempt. The Decision Ledger keeps a proposal distinguishable from a completed fill.
01 / Data foundation
The data comes first.
Every recording adds context. SolTrace brings stored observations from multiple runs together with live ingestion, so the work can continue beyond a single session or chart.
A growing project archive.
Inventory dated 1 November 2026369.5 GBInventoried project files
705Database files
167Detected segments
The footprint includes recordings, wallet snapshots, analysis results, caches and program files. File counts and storage size are not counts of unique market observations; copies and derived results may be included.
Addresses in context
Token mint addresses, wallets, holders and creators are distinguished where their roles are identified.
Research across runs
Stored recordings support repeated analysis, comparisons, Coin DNA and wallet research. Each study retains its own scope.
The 644 coins shown later belong to one example run. They are not the total SolTrace database.
02 / Use cases
What SolTrace
helps you do.
The same data foundation supports several kinds of work: understanding market behaviour, developing explicit rules and examining the evidence behind a decision. Each use case has a concrete purpose.
Paper trading with execution conditions
Configurable delays and costs are part of the simulation, allowing a strategy to be examined under explicit execution assumptions.
- Configure buy and sell latency separately
- Simulate percentage fees and fixed SOL costs for entry and exit
- Account for slippage costs and price limits
- Distinguish fills, rejections and failed attempts
- Examine positions, reserved capital and results under the selected conditions
- Investigate take-profit stages and moonbag behaviour
A zero-cost baseline without latency is a separate research mode. Results depend on the selected mode, cost assumptions and data coverage.
Decision Ledger: decisions with evidence
For recorded trade decisions, SolTrace links the decision to its evaluated rule evidence and subsequent order outcome.
- Decision ID, coin, Peter, mode and timing
- Triggering rules, measured values, operators and thresholds
- Evaluated AND / OR groups and frozen policy revision
- Separate signal, queued, executed and rejected order states
- Available snapshot and provenance references; missing information stays visible
- SHA-256-linked audit events and exportable evidence
Hash links support integrity checks. They are not external certification and do not replace missing source data.
01
Compare token behaviour
Who it helps: Researchers & data analysts
Recorded trajectories and Coin DNA bring token behaviour into a form that can be examined across recordings.
Practical value
Reuse recorded observations for new questions and compare behaviour beyond a single price chart.
02
Understand market structure
Who it helps: Market researchers & traders
Examine buying, selling, momentum, holder counts and token concentration together.
Practical value
Put a visible price move in context and identify concentration or participation patterns that deserve closer investigation.
03
Investigate wallet behaviour
Who it helps: Wallet researchers & analysts
Connect observed wallet activity with token and holder context across recordings.
Practical value
Examine recurring participation and behaviour instead of judging a wallet from one isolated transaction.
04
Test strategies with latency and costs
Who it helps: Strategy developers & traders
Account for buy and sell latency, fees, fixed SOL costs, slippage limits and possible execution rejections in Paper mode.
Practical value
Investigate how execution assumptions affect a strategy and inspect its decisions through recorded evidence.
05
Study signal and execution timing
Who it helps: Execution researchers & developers
Use Predictive Aiming Lab to examine observed changes around momentum events and investigate timing in relation to execution delays.
Practical value
Identify timing questions and candidate patterns for further testing; an aligned chart alone does not validate a forecast.
06
Review why a decision happened
Who it helps: Developers, reviewers & research partners
Inspect actions, triggering rules, measured values, thresholds and available policy revision references.
Practical value
Trace the evidence behind a decision and see where information is missing, making technical review and diagnosis more concrete.
03 / Platform
From incoming events
to inspectable decisions.
Live Solana events enter the ingestion pipeline, are decoded and passed to independent Peter operators for each coin. Recording and analysis connect the live system to the wider research data foundation.
01
Ingest
Discover Solana activity, decode Pump and PumpSwap events and distribute observations.
02
Operate
Independent Peter operators evaluate each coin through entry, hold, exit, re-entry and drop policies.
03
Preserve
Record trajectories, measured context and decision information for further investigation.
04
Research
Use DNA Lab, Wallet Intelligence and Predictive Aiming Lab to examine stored observations.
04 / Capabilities
The complete workflow.
From data stream to evidence.
Record, investigate, simulate, formulate rules and inspect decisions: these activities connect in SolTrace. This directory explains the individual tasks and their purpose.
Capability overview checked against the Dev11 AuditFix2 source package and its documentation. This describes implemented software paths; the live server was not re-tested for this website.
01Collect & reuse observations
Live ingestion & discovery
Discover Solana activity, decode Pump/PumpSwap data and distribute observations to Peter operators. Supported market paths include migration handling; detected Mayhem events are filtered.
Manual Peter operators
Observe a chosen coin by mint address without automatic discovery. Starting observation does not force a buy.
Recording catalogue & segments
Select recordings, check completed packages and reanalyse eligible historical data. Source checks and a RAM mirror support processing.
02Understand markets, Coin DNA & wallets
Coin DNA
Investigate scale-independent behavioural signatures and recorded coin trajectories to compare patterns beyond individual charts.
Wallet Intelligence
Put wallet histories, participation, observed actors and holder distributions in their temporal context. A transfer alone does not establish common ownership.
Predictive Aiming Lab
Select market, holder, wallet, pair and triple analyses; inspect individual features, relationships, momentum and re-entry through an event magnifier.
03Test strategies under execution assumptions
Paper baseline & delayed Paper
Distinguish baseline and latency modes; configure buy/sell latency, fees, fixed SOL costs and slippage assumptions.
Portfolio, take-profit & moonbags
Inspect positions, reservations and trade history; account for staged partial exits and remaining holdings. Real moonbag transfers carry separate evidence and status.
DNA replay & strategy search
Investigate individual policies, search variants, early entries and latency conditions on eligible recordings. Data gaps and execution assumptions constrain interpretation.
04Develop rules & knowledge states
Five policy families & editor
Express Entry, Hold, Exit, Re-entry and Drop with features, thresholds, nested AND / OR groups and take-profit stages.
WATCH/lifecycle learning & snapshots
Inspect learning modes with separate training, validation and holdout. Versioned knowledge states and frozen policies preserve the context used.
Analysis to policy draft
Translate eligible research findings into an inspectable ENTRY draft, store it in the library and review it in the editor. Publishing is deliberate; the draft is not independent validation.
05Review decisions & share findings
Decision Ledger & audit chain
Link evaluated rules, group logic, policy revision, order status and available snapshot references; check SHA-256 links for integrity.
Joint verification
Compare forecast features ON/OFF with other conditions held equal; examine TRAIN, validation and holdout with replay and Ledger evidence.
Reports & exports
Provide short and detailed reports, CSV/JSON analysis, charts and evidence packages for further investigation and technical review.
06Operation, controls & real execution
REAL execution & reconciliation
Implemented paths cover order construction, signing, submission, confirmation and reconciliation of unresolved operations. Reliable live execution under real conditions remains a development and validation task.
Lifecycle, limits & diagnostics
Monitor inactivity and resources; account for position/exposure limits, failure blocks and orderly shutdown in execution paths. A separate read-only MCP endpoint exposes diagnostics.
Self-hosting, DE/EN & guest view
A browser interface with overview, trading, analysis and system areas; English/German, administrator actions and read-only guest access for review.
Inside the working application
05 / Run example
One run.
A small part of the whole.
This example comes from one of many SolTrace runs. It illustrates a Predictive Aiming Lab investigation within the broader platform. All counts, charts and downloads in this section refer to this example only.
EXAMPLE RUN / NOT THE TOTAL DATABASE
644Coins · this run only
45,434Samples · this run only
549Momentum events · this run only
Original price-study export: recorded trajectories and alignment around reference events. Open the image to inspect its axes and legends.
Anonymised metadata · No wallet identifiers
Research note: event labels are assigned retrospectively. Correlations and aligned charts do not establish forecasting ability, causality or profitability. The 4,498,478 pair-analysis rows are combinations, not independent observations.
06 / Builder
Built independently.
Open to serious questions.
SolTrace is developed by Gerald Auerbach in Germany. It is an evolving research prototype, built to make on-chain observations and paper-policy decisions easier to inspect. Thoughtful feedback, technical discussions and independent validation are welcome.
Connect on Colosseum Research feedback · Technical discussions · Demo enquiries