Skill12k estrellas del repoactualizado today

smc

The smc Claude Code implements an institutional trading analysis engine using Smart Money Concepts (ICT) methodology. It detects trend continuation (Break of Structure), trend reversals (Change of Character), price targets (Fair Value Gaps), and institutional order zones to generate long, short, or neutral trading signals based on structural price action patterns and order block alignment.

Ver fuente Repositorio: Vibe-Trading

Instalar en Claude Code

Copiar

git clone --depth 1 https://github.com/HKUDS/Vibe-Trading /tmp/smc && cp -r /tmp/smc/agent/src/skills/smc ~/.claude/skills/smc

Después abre una sesión nueva de Claude Code; el skill carga automáticamente.

Definición

SKILL.md

# Smart Money Concepts

## Purpose

The modern institutional trading school (ICT / Inner Circle Trader), built around the core idea of tracking the behavior of "smart money" (institutional capital):

| Concept | English | Meaning |
|------|------|------|
| Break of structure | BOS (Break of Structure) | Trend continuation signal |
| Change of character | ChoCH (Change of Character) | Trend reversal signal |
| Fair value gap | FVG (Fair Value Gap) | Price refill target |
| Order blocks | Order Blocks | Institutional order concentration zones |
| Liquidity | Liquidity | Stop-hunt target zones |

## Signal Logic

Direction from ChoCH + confirmation from BOS + filtering by FVG:
- **Long**: bullish ChoCH/BOS + bullish FVG exists
- **Short**: bearish ChoCH/BOS + bearish FVG exists
- **Stand aside**: no structural signal or conflicting directions

## Dependencies

```bash
pip install smartmoneyconcepts pandas numpy requests
```

## Parameters

| Parameter | Default | Description |
|------|--------|------|
| swing_length | 10 | Window for swing high/low detection |
| close_break | True | Whether BOS/ChoCH requires a closing-price break |

## Signal Convention

- `1` = long, `-1` = short, `0` = stand aside

Del mismo repositorio

vibe-tradingSkill

Professional finance research toolkit — backtesting (7 engines + benchmark comparison panel), factor analysis, Alpha Zoo (452 pre-built alphas across qlib158/alpha101/gtja191/academic), options pricing, 77 finance skills, 29 multi-agent swarm teams, Trade Journal analyzer, and Shadow Account (extract → backtest → render) across 7 data sources (tushare, yfinance, okx, akshare, mootdx, ccxt, futu).

adr-hshareSkill

ADR/H-share/A-share cross-listing premium analysis — track pricing gaps between US-listed ADRs, HK-listed H-shares, and A-shares for arbitrage signals, dual-listing valuation, and delisting risk assessment.

akshareSkill

AKShare financial data aggregator (18k+ stars). Free, no API key. Covers A-shares, US, HK, futures, macro, forex. Primary fallback for tushare and yfinance.

alpha-zooSkill

Browse and bench the bundled alpha zoos — prebuilt cross-sectional factor libraries (Kakushadze 101, GTJA 191, Qlib 158, Fama-French / Carhart). Use when the user asks "which alphas exist", wants metadata on a named alpha, or wants to run IC/IR on a whole zoo over a universe.

ashare-pre-st-filterSkill

A 股 ST/*ST 风险预测框架 — 基于最新中报/三季报或业绩预告/快报，预测下一财年是否会因营收、利润、净资产、分红不达标而被风险警示，并将新浪监管处罚记录作为独立证据面纳入风险等级。仅适用于 A 股，不预测财务造假。

asset-allocationSkill

Asset allocation theory and optimizer usage — MPT / Black-Litterman / risk budgeting / all-weather strategy, including guides for 4 optimizers and rebalancing rules.

backtest-diagnoseSkill

Diagnose failed or underperforming backtests, locate the root cause, and fix the issue

behavioral-financeSkill

Behavioral finance applications: theories of overreaction and underreaction, behavioral explanations for momentum and reversal, investor sentiment cycles, cognitive-bias checklists, and debiasing quantitative strategies.