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Weekly Reports

Institutional macro analysis every Sunday — Markets, sectors, crypto, metals and geopolitics

Daily Briefing

Morning market synthesis — US, Europe, Asia-Pacific and Crypto — 5:00 AM UTC every day

Le briefing quotidien est publié chaque matin à 7h00. Il couvre les 4 grandes zones (US, EU, AP, Crypto), les événements du jour, et propose une formation et des idées de trading.

Individual Analyses

In-depth fundamental and technical analysis per ticker — Grade A+ to F, multilingual, multi-level

Filters
Confidence
Freshness : All
1d All

Daily Scanner

Algorithmic detection of the best daily setups — Multi-strategy analysis with market regime

How to read this: our A+ setups target R:R of 1:1.5 or better. The ~48% win rate is cumulative across all 15 retros (330 trades, 174 closed) — not the latest week, which can swing wildly. It's by design: with positive R:R we need fewer wins than losses for positive expectancy. What matters is the size of wins vs the size of losses (avg win +8.2%, avg loss −4.9%, PF 1.5×) and the equity curve trend. Latest retro (C+*) dragged by regime-label lag — 8 SL cascade from Jun 1-3 when score was already <50 but label stayed RISK-ON. See full methodology + every retro →
Win Rate
47.7%
174 closed trades — 15 retros
Return
+15.0%
Total return (realized + unrealized)
Scans
78
330 trades • 15 retros
Profit Factor
1.5×
Avg win +8.2% / Avg loss −4.9%
Regime
CRISIS
Top Picks — P&L (%)
Hit Rate by Retro
Hit Rate & Resolved Positions Trend

The scanner runs daily. Setups are ranked by a composite score combining RSI, volume, support/resistance levels, and technical signals.

Educational Series

Complete guides to learn investing — From beginner to advanced

Guided paths
Bien Débuter en Trading Quick Start + 8 séries · Niveau débutant · 30 min → 8h
Swing Trading Rentable 7 séries · Niveau intermédiaire · ~8h de lecture
Maîtrise Expert 7 séries · Niveau expert · ~12h de lecture
Thématiques & Bien-Être 10 séries · Spécialisations, régions, IA, santé · Tous niveaux

Tech — Data Engineering & Quantitative Infrastructure

Build reliable financial data pipelines, backtest engines, and trading systems.