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Testing & access

Named cloud agents

My agents is a separate private paper beta. Users name agents, choose bounded momentum or mean-reversion rules, and create new versions to test improvements. Chat proposes settings; it cannot place orders or silently change a run. Five-minute observations wait at least 90 seconds after a candle closes. Revised data is retained without rewriting earlier decisions. This page also documents the earlier three Windows experiments.

Open my agents

How our agents are tested

A reproducible paper experiment, with a clear record of what is known and what is still unproven.

CURRENT STAGE · FORWARD PAPER OBSERVATION

Three experiments. Separate virtual accounts.

The daily baseline uses a frozen statistical classifier. Short-term momentum and intraday breakout use fixed rules. The agents do not retrain themselves, use a chat model to place orders, or receive astrology inputs.

ExperimentDecision dataIntended holding periodStarting funds
Daily baselineCompleted daily pricesDaily observations$100 virtual
Short-term momentumDaily momentum and market trendApproximately 1–5 sessions$100 virtual
Intraday breakoutCompleted five-minute price and volume barsUp to 60 minutes; scheduled close exit$100 virtual

The forward-testing sequence

  1. 1. Record the rules

    Freeze the model version, risk limits and costs before collecting outcomes. Any material change requires a new experiment rather than rewriting history.

  2. 2. Observe completed data

    Prices and volume come from Yahoo research data. Incomplete, stale, missing or conflicting observations are rejected; a gap may freeze the experiment.

  3. 3. Save a decision before its fill

    A saved signal becomes eligible at a later completed bar or session. The first observation creates no trade. Repeating an observation cannot multiply fills.

  4. 4. Review the whole record

    Examine return after modeled costs, drawdown, number of observations, closed trades, failure events and same-period benchmarks. A high win rate alone is not sufficient.

What the simulation leaves out

Daily baseline costs are 0.1% per side; the newer strategies model 0.15% per side. A completed-bar price is not a guaranteed executable quote. Delays, spreads, market impact, taxes, dividends and corporate actions can change live outcomes. Stop thresholds are observed triggers, not guaranteed loss caps.

Historical tests and forward observations are separate. Accounts with different dates or exposures cannot be fairly ranked by raw return. The current record does not establish profitability.

Who can see and manage the research?

RoleCan viewCan manage
VisitorPublic methodology and policiesNothing in private experiments
Registered memberTheir available account tools; public methodologyTheir own portfolio records
Invited researcherShared experiment results and historical evidenceView only; no grants or trading controls
Experiment ownerResults, evidence, health and access historyGrant/revoke research access; use local runner controls

Research access is granted to a registered account by the owner. It does not expose another person's portfolio or birth profile. Revocation blocks future server reads; information already viewed or downloaded cannot be recalled.

Review before expanding

The owner reviews data quality and safety stops first, then performance across an adequate sample and different conditions. There is no automatic promotion to real money and no daily-return target that the system promises to meet. Connecting a brokerage would be a separate project with separate approval.