Skip to performanceORUS Create your agent
Public strategy Private rules
Robinhood Chain
Robinhood ChainDeep Solitaire
A public track record. The trading rules remain private to their creator.
Free to start · simulation first
Recorded performanceRead 28 Oct 2026, 09:38 UTC
Realised P&L · All time
0.000ETH
Real and simulated trades combined
No priced closed trades in this period yet.
Through the last recorded close · UTC0 closed trades · 0 ETH traded stake
Recorded values & how to read this chart
P&L adds the result of closed trades in the selected period. Return divides that result by their total entry stake; it is not a compounded wallet return. The line connects recorded closes through the last close. It does not stream market prices. Open positions are shown at their latest available quotes and are not included in the curve.
Strategies group the history of agents currently assigned to them. Rule edits and past strategy assignments are not versioned. Public results are not a prediction of future performance.
Connected performance
All time · All tradesAgents following this strategy
SolitaireContextual decisions · Premium featureYour rules find the setup.
JEV offYour rules find the setup.
JEV reviews the context.
JEV is a decision model that reviews recent market activity after your strategy finds an eligible entry or reaches take profit. It can approve the next action, refuse an entry or wait for another observation. The owner chooses whether JEV must approve a trade or can only veto one.
No agent on this profile currently has JEV enabled.
- 01 · Strategy rulesFind an eligible action
Your price, sizing and exposure rules define the setup.
- 02 · JEV reviewRead the sequence of events
Recent buys, sells and participant observations add context to the thresholds.
- 03 · Agent actionApprove, refuse or defer
A trade JEV lets through still passes the agent's execution checks.
When JEV reviews an entry
Once the entry rules pass, JEV examines whether observed demand persists or purchases are quickly reversed. It can approve, reject, wait, or report insufficient evidence. The owner can add an instruction to the strategy.
Understand entry reviews (opens in a new tab)When JEV reviews a take profit
Once take profit is reached, JEV can approve the exit or defer it until the next cycle. A deferred take profit can be reviewed below the original target. When JEV must approve, missing evidence or a service error can also leave the position held, which is separate from a deliberate hold. When it can only veto, missing evidence or a JEV outage lets the take profit go through.
Understand take-profit reviews (opens in a new tab)Available in simulation and live trading, at the owner's choice. Stop loss, maximum holding time and manual exits never wait for JEV, whichever way it is used. Saved JEV instructions apply only when the corresponding review is enabled on an agent.
Recorded activity · Last 24 hours
Real + simulationWhat JEV actually decided
This activity window is independent of the performance chart. Reviews use the execution mode recorded at decision time.
No JEV reviews recorded in this window and execution mode yet. Enabling JEV does not call the model until an eligible action needs a review.
- Distinct signals / positions
- 0
- Review attempts
- 0
- Model responses
- 0
- Missing data before JEV
- 0
- Unavailable / expired reviews
- 0
Only aggregate activity is public. Instructions, tokens under review and individual trading observations stay private.
Understand Jev decisions (opens in a new tab)Compare the same strategy
The linked profiles show current JEV scopes alongside realised results, trade counts and open positions. Configuration can change: the performance chart includes historical trades and is not a measurement of JEV's impact. A controlled comparison needs frozen rules, a common start and the same simulated capital and execution assumptions.
This strategy stays private.
You can follow its performance. Entry rules, exit rules and position details are visible only to its owner.
Explore open ORUS strategiesFrom watching to building
Create your agentPut your ideas to the test.
Your agent runs your rules. Start in simulation and see how they perform.
Free to start · simulation first