Finance Trading

Implements a BTC/USDT paper trading strategy using EMA 20/50 and RSI indicators, with risk limits, stop loss, take profit, and trade logging.

Security Scan

The skill's instructions describe a paper-trading strategy but reference custom CLI commands and scheduling behavior while declaring no dependencies, install steps, or data sources — the pieces don't fully add up.

Purpose & Capability

The skill claims to run a BTC/USDT paper-trading strategy, but SKILL.md uses nonstandard CLI commands (fetch market-data, calculate-indicators, apply-strategy, log-trade) while the metadata lists no required binaries, packages, or install steps. There's no source/homepage to explain where those commands come from. That mismatch means the skill as published lacks the declared capabilities needed to implement its stated purpose.

Instruction Scope

The instructions themselves are narrowly scoped to indicator calculation, trade decision rules, risk limits, and writing a local trading_log.md. They do not request secrets or access unrelated system files, nor do they send data to external endpoints. However, they assume the existence of specific CLI tools and a scheduling mechanism (15-minute checks, daily 18:00 report) that are not provided or described, leaving operational details ambiguous.

Install Mechanism

There is no install specification and no code files (instruction-only). This minimizes installer risk because nothing will be downloaded or written by an installer. The remaining concern is operational: the agent or environment must already have the unnamed CLI tools the instructions expect.

Credentials

The skill declares no environment variables or credentials. For paper trading this can be reasonable, but realistic market-data access often requires a data source or API key; the SKILL.md does not identify where market data comes from or whether any credentials are expected. Absence of declared credentials is either an omission or indicates the skill expects preinstalled tooling that encapsulates data access.

Persistence & Privilege

The skill does not request persistent presence (always:false) and does not declare permissions to modify other skills or system-wide agent settings. It writes a local log file (trading_log.md), which is within a reasonable scope for a trading logger.

What to consider before installing

Before installing or enabling this skill, ask the publisher for the implementation/source code and a list of required CLI tools and their origins (where do fetch, calculate-indicators, apply-strategy come from?). Confirm how market data will be obtained (which exchange or data provider) and whether any API keys will be required — never provide live exchange credentials unless you trust the code. Ask how scheduling is handled (agent-triggered, OS cron, or external service) and where trading_log.md is stored. Run the skill only in a sandboxed environment with no access to real funds until you can verify the concrete implementation. If the author cannot provide source or a vetted install path, treat the skill as untrusted because the instructions assume nonstandard tooling that is not supplied or documented.

Skill: finance-trading

La stratégie quantitative pour le paper trading BTC/USDT

1. Analyse Technique (1h et 15min)

Indicateurs :

• EMA 20 (Moyenne Mobile Exponentielle 20 périodes)
• EMA 50 (Moyenne Mobile Exponentielle 50 périodes)
• RSI (Relative Strength Index)

Signal d'Achat :

• EMA 20 > EMA 50 (crossing haussier)
• RSI entre 40 et 60 (momentum haussier)

Signal de Vente :

• EMA 20 < EMA 50 (crossing baissier)
• RSI > 80 (surachat)

2. Gestion de Risque

• Mode : PAPER TRADING uniquement
• Taille maximum : 5% du capital fictif par trade
• Stop Loss : 2%
• Take Profit : 6%

3. Rapport & Suivi

• Journal : trading_log.md après chaque trade
• Rapport quotidien : Chaque jour à 18h → rapport de performance avec solde, PnL, Win Rate, sentiment marché

4. Fréquence

• Vérification : Toutes les 15 minutes
• Veille : Le reste du temps

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Exécution :

# Analyser le marché
fetch market-data BTC/USDT --timeframes 1h 15min

# Calculer les indicateurs
calculate-indicators --ema-20 --ema-50 --rsi

# Appliquer la stratégie
apply-strategy --mode paper --risk 5% --sl 2% --tp 6%

# Journaliser
log-trade --file trading_log.md