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Automation · Live

Market Intelligence

Daily market data with historical perspective and an independent challenge

An automated research pipeline that turns market data, news and long-term metrics into a critical daily briefing.

n8nSupabaseMarket APIsLLMTelegramRSS
beni.systems / market•••
MARKET PULSE

Intelligence briefing

LIVE · 08:30 CET
MARKET MOMENTUM+12.4%
MONTUEWEDTHUFRI
CRITIQUE STATUS
7/10
Measured optimism

Momentum confirmed. Liquidity risk remains.

100assets monitored daily
4Yplanned history
2×analysis plus critique
CHbuilt in Switzerland

The starting point

The real problem.

Daily price moves without historical context are misleading. A single data source or overconfident model can also create false certainty.

The solution

One connected system.

A daily pipeline builds its own history, calculates metrics deterministically and separates data, analysis and critical review.

Product experience

Complex logic.
Clear interaction.

Top-100 market data is stored daily, combined with news and evaluated by a model. An independent critique step then tries to disprove every positive conclusion.

beni.systems / market•••
MARKET PULSE

Intelligence briefing

LIVE · 08:30 CET
MARKET MOMENTUM+12.4%
MONTUEWEDTHUFRI
CRITIQUE STATUS
7/10
Measured optimism

Momentum confirmed. Liquidity risk remains.

Key capabilities

01

Owned time series

Snapshots enable momentum, volatility and distance-to-extreme calculations.

02

Balanced news

Cross-source deduplication prevents one feed from dominating the briefing.

03

Structured briefing

Market state, opportunities, risks and conclusion arrive in a consistent format.

04

Adversarial critique

A second model call actively searches for overheating, timing and liquidity risks.

System architecture

From input to a useful outcome.

Every component has a clear responsibility, keeping data flows, failures and future extensions traceable.

01Market & news APIs→
02n8n collection→
03Supabase history→
04Metrics→
05Analysis model→
06Critique & briefing

Engineering decisions

Deliberate decisions instead of invisible magic.

Good systems define not only what should happen, but also what deliberately remains outside automation.

  • No claim of a validated trading edge
  • Deterministic metrics before model analysis
  • Retries and visible failure paths
  • Fail open with a clear warning if critique fails

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