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← Back to Skills
Data & Analytics
📈

T Trading

A multi-dimensional technical analysis skill for A-share and crypto day trading, combining Vegas Tunnel EMA channels, Fibonacci retracement, and multi-timeframe resonance scoring.

wscatsv1.0.0
Connecting to VM...
Connecting to VM...
npx clawhub@latest install t-trading
6Stars
20.4kDownloads
10Current Installs
3All-time Installs
📦
v1.0.0Version
View Source

T Trading Skill Overview

T Trading brings the Vegas Tunnel Multi-Dimensional Resonance System into your AI assistant as a prompt-based technical analysis skill. It covers A-shares and cryptocurrencies, automatically activating when you name a ticker and ask a short-term trading question. The skill runs a four-dimensional analysis — EMA channels, Fibonacci retracement, multi-timeframe scoring, and signal synthesis — and returns a structured report with specific price levels and a mandatory risk disclaimer.

How to Use It

Step 1: Run in your terminal or install this skill on MyClaw

npx clawhub@latest install t-trading
or

Click the Install button at the top of this page for one-click setup

When to Use T Trading

Best Fit

  • You hold an A-share position and want to evaluate whether intraday T+0 scalping (做T) is viable given current EMA and Fibonacci structure.
  • You are trading BTC, ETH, or another major cryptocurrency intraday and need a structured multi-timeframe confluence score before entering.
  • You want to quickly identify key EMA tunnel boundaries and Fibonacci resonance zones for a named instrument as support/resistance references.
  • You need a disciplined, rules-based framework that will explicitly tell you to stay out when signal confidence is too low.

When Not to Use

  • You are looking for fundamental analysis, earnings forecasts, or macro commentary — this skill is purely technical.
  • You need live, real-time price data fetched automatically; the skill relies on data you supply or context already available to the assistant.
  • You are trading instruments outside A-shares and major cryptocurrencies, as market-specific weighting tables are only defined for those two categories.

Key Features

Three-Layer EMA Tunnel Analysis

Evaluates the inner (EMA12/13), middle (EMA144/169), and outer (EMA576/676) channel layers simultaneously. Each layer serves a distinct purpose: intraday timing, medium-term trend direction, and long-term bull/bear boundary identification.

Fibonacci Retracement & Resonance Zones

Maps the five standard retracement levels (0.236, 0.382, 0.500, 0.618, 0.786) against EMA channel boundaries to surface high-probability confluence zones where multiple signals align.

Multi-Timeframe Composite Scoring

Produces a 0–100 confidence score by aggregating signals across timeframes using market-specific weighting tables. Scores below 40 trigger an automatic "observe only" recommendation; scores above 80 indicate high-conviction setups.

Market-Specific Rule Sets

A-share analysis enforces T+1 constraints, recommended base/active position splits (5:5 or 6:4), session windows, and circuit-breaker limits. Crypto analysis applies 24/7 session logic, funding rate thresholds, and volatility-adjusted stop-loss multipliers.

Structured Report with Mandatory Disclaimer

Every output follows a fixed template covering directional verdict, per-dimension scores, specific entry/stop-loss/take-profit levels, and a risk disclaimer. The format is consistent across all instruments and sessions.

Disciplined No-Trade Signals

When composite score falls below 40, the skill withholds entry recommendations entirely and states the reason clearly. This prevents overtrading in low-conviction conditions.

Use Cases

A-Share Intraday T+0 Decision

A trader holding 贵州茅台 (600519) asks whether the current price structure supports selling the morning spike and buying back lower. The skill evaluates EMA tunnel position, Fibonacci levels from the recent swing, and session timing to produce a scored go/no-go recommendation.

BTC Day Trade Setup Evaluation

Before entering a Bitcoin long on the 1H chart, a user pastes recent OHLC data and asks for a full analysis. The skill scores the multi-timeframe resonance, checks funding rate context, and outputs entry, stop, and target levels if the score exceeds 60.

Support & Resistance Level Mapping

A user asks "where are the key support levels for ETH right now?" The skill focuses output on the Fibonacci retracement grid and EMA channel boundaries most relevant to the current price, without requiring a full trade recommendation.

Pre-Session Market Preparation

Before the A-share morning open, a trader asks for an analysis of BYD (002594) to plan the session. The skill identifies the EMA tunnel state, scores overnight sentiment context, and flags the critical price levels to watch during the 09:30–10:00 emotion-driven window.

Requirements

  • No API keys required — this is a prompt-based natural language skill with no external service dependencies.
  • Price data — users should provide current price levels, recent swing highs/lows, or chart context for the target instrument. If omitted, the skill will request the data or qualify its analysis accordingly.
  • Supported markets — A-shares (Shanghai, Shenzhen, STAR Market, ChiNext, BSE) and major cryptocurrencies. Market-specific scoring weights are only defined for these two categories.
Connecting to VM...
npx clawhub@latest install t-trading
6Stars
20.4kDownloads
10Current Installs
3All-time Installs
📦
v1.0.0Version
View Source

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