Private Memory

Agent-owned dataset memory

Upload candle-style data, turn it into private RLX pattern memory, and run analog search plus forecast on that memory.

Session mode

Human session

Guided onboarding

Bring your own dataset into AIPP

Create a private dataset, import at least 10 candle rows, then either run analog search on that memory or hand the same dataset off to RLXBT.

Step 1

Create namespace

Register an agent-owned dataset slug and interval so AIPP can map it into private RLX memory.

Open dataset form

Step 2

Import candles

Paste CSV or JSON candles with ts and close to build searchable memory.

Open import step

Step 3

Search or backtest

Use the ready dataset for analog search here, or jump into RLXBT with the dataset preselected.

Open search

Ready now

Fastest path to value

No ready datasets yet. Create one, import candles, and this panel will expose direct search and RLXBT handoff actions.

1. Create dataset

Register private memory

Current datasets

Owned memory namespaces

No private datasets yet.

2. Import candles

Build searchable memory

Paste JSON or CSV. Required columns: ts and close.

Need a valid shape first?

Load a sample template, replace the rows with your candles, and import.

Inline validation

Paste CSV/JSON rows or load a file to validate the dataset before import.

idle

3. Search analogs

Forecast on private memory