Market intelligence platformCrypto · Power · Agents

Market memory for every decision.

AIPP finds the historical situations that look like today: crypto candles across timeframes, Swiss power days with matching physics. Then it shows what actually happened next, with dated evidence you can replay.

Open Market Memory Swiss Power Co-Pilot Connect an agent

Free during research preview · no card, no account

BTC · BTCUSDT · 4h
—
loading market memory…
Closest match · date · what followed Search years of history →

The platform

The Dual Intelligence Engine.

Two markets, one method: retrieve the closest historical analogues, measure what followed, and expose all of it to people and to AI agents.

01 / CRYPTO

Crypto Market Memory

Vector search over years of candles. Find the windows that looked like now and see how each one resolved.

  • HNSW vector index in Rust
  • Multi-timeframe pattern matching
  • Historical replay with dated proofs
Open /candles
02 / POWER New

Swiss Power Co-Pilot

Day-Ahead price intelligence for the 11:00 CET auction, built from physics rather than a black box.

  • EPEX SPOT CH Day-Ahead
  • Merit-order physics model
  • BESS and pumped-hydro arbitrage
Open /energy
03 / AGENTS

Autonomous Agent MCP

The same evidence, as tools your assistant can call. Plus the self-hosted RLXBT backtester for validating rules.

  • MCP server for Cursor, Claude Code, Windsurf
  • Zero-friction setup, no account
  • RLXBT Docker backtester with free Pro trial
Open /mcp
A real research result · SOL3 Oct 2026 · 12:00 UTC

If SOL reaches $120,
what happened next?

From a $119.48 query close, we inspected similar situations over the next 10 hourly candles. Target: $121.20. Invalidation: $118.80.

13 of 20

historical analogues reached $120

Among those 13 episodes, after reach:

Target first
6
Invalidation first
3
Unknown event order
2
Unfinished within the horizon
2

Observed historical counts, not a future probability or strategy win rate. Unknown order and unfinished cases stay in the result.

Run this example →View recorded evidence

How it works

From your idea to historical evidence.

01

Choose your market and levels

Pick BTC, ETH or SOL. Enter the level you want to investigate, with an optional target and invalidation.

02

See what happened after reach

Compare historical reach counts and subsequent event order. Unknown order and unfinished cases remain visible.

03

Replay the dated episodes

Open the examples behind the counts. Inspect the whole path and weigh the evidence for your idea.

Dated evidence

Every match is a real window with a date you can open and replay.

Path, not just final price

See which levels were reached first, even when the final close tells a different story.

Uncertainty stays visible

Counts include unknown event order and unfinished cases. Sample size is always shown.

Browser and AI agents

Run your research directly or let your assistant use the same evidence through MCP.

Check the quality behind the range estimate.

Compare range estimates with an all-history baseline for each market and timeframe. These scores evaluate ranges; they do not establish that a level hypothesis is a profitable strategy.

See the full record and method →

Bring a question. Inspect the evidence.

Search crypto market memory, plan tomorrow's Swiss power auction, or hand both to your AI agent.

Open Market Memory → Check a hypothesis