Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Charts
Generate 90-day candlestick charts with SMA 20/50, RSI, Fibonacci retracements, and pattern detection for BTC, ETH, XRP, SUI, Gold, and Silver.
skill openclawclawhub Free
Generate 90-day candlestick charts with SMA 20/50, RSI, Fibonacci retracements, and pattern detection for BTC, ETH, XRP, SUI, Gold, and Silver.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.1.0
Provenance
- Publisher
- ryandeangraves
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Purpose
Generate professional technical analysis charts with candlesticks, Fibonacci retracement, moving averages (SMA 20/50), RSI, and pattern detection. Uses the local crypto_charts.py module.
When to Use
Boss Man asks "show me the BTC chart" or "run TA on silver" You need visual charts for market analysis or reporting Morning protocol chart generation Any request for technical analysis with visuals
Generate All Charts (Full Suite)
Generates charts for all 6 tracked assets: BTC, ETH, XRP, SUI, Gold, Silver. Warning: Takes 2-3 minutes due to API rate limits between requests. cd ~/clawd && python3 -c " import json from crypto_charts import generate_all_charts, cleanup_old_charts cleanup_old_charts() report = generate_all_charts(output_dir=os.path.expanduser('~/clawd/charts')) print(json.dumps(report, indent=2, default=str)) " 2>&1 Charts saved to: ~/clawd/charts/chart_btc.png, chart_eth.png, etc.
Generate Single Chart
For a quick single-asset chart without waiting for the full suite: cd ~/clawd && python3 -c " import os, json from crypto_charts import ( fetch_yfinance, fetch_ohlc, fetch_market_data, calc_moving_averages, calc_rsi, calc_fibonacci, detect_patterns, generate_chart, COINS ) coin_id = 'COIN_ID' # bitcoin, ethereum, ripple, sui, gold, silver info = COINS[coin_id] # Fetch data (Yahoo Finance first, CoinGecko fallback) df = fetch_yfinance(coin_id) if df is None or len(df) < 10: df = fetch_ohlc(coin_id) if df is None or len(df) < 10: df = fetch_market_data(coin_id) if df is not None and len(df) >= 5: df = calc_moving_averages(df) df = calc_rsi(df) fib = calc_fibonacci(df) patterns = detect_patterns(df) chart_path = os.path.expanduser(f'~/clawd/charts/chart_{info[\"symbol\"].lower()}.png') generate_chart(coin_id, df, fib, chart_path) print(f'Chart: {chart_path}') print(f'Price: \${df[\"close\"].iloc[-1]:,.2f}') print(f'RSI: {df[\"rsi\"].iloc[-1]:.1f}') print('Patterns:') for p in patterns: print(f' - {p}') else: print('Not enough data to generate chart') "
Tracked Assets
coin_idSymbolChart ColorData SourcebitcoinBTC#F7931AYahoo Finance → CoinGeckoethereumETH#627EEAYahoo Finance → CoinGeckorippleXRP#00AAE4Yahoo Finance → CoinGeckosuiSUI#6FBCF0Yahoo Finance → CoinGeckogoldXAU#FFD700Yahoo FinancesilverXAG#C0C0C0Yahoo Finance
What the Charts Include
Candlestick bars (green up / red down) — 90 days of daily data 20 SMA (blue) and 50 SMA (gold) — trend and support/resistance Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) RSI subplot (purple) — with overbought (70) and oversold (30) lines Current price marker — dot + horizontal line in the asset's accent color
Pattern Detection (Automatic)
The module auto-detects and reports: SMA crossovers (Golden Cross / Death Cross) Head & Shoulders / Inverse H&S Fibonacci zone positioning Trend strength (7-day momentum) RSI condition (overbought/oversold/neutral) Price position within 90-day range
Sending Charts via Telegram
After generating, send the chart image using Clawdbot's native message command: message (Telegram, target="7887978276") [attach ~/clawd/charts/chart_btc.png]
Rules
Charts use 90 days of history — enough for meaningful TA Yahoo Finance is tried first (free, reliable), CoinGecko is fallback Rate limit: 8-second delays between coins, 20-second batch cooldowns Always run cleanup_old_charts() first to avoid disk buildup Chart images are ~150 DPI, dark theme (#0f172a background)
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs1 Config
- SKILL.md
- _meta.json