Track major US stock indexes for Follow-Through Days, price and volume signals used to assess a market recovery after a correction. Receive a quality score, suggested equity exposure, key price levels, and monitoring of subsequent market health.
中文简介正在准备中。当前显示英语简介。
Detects Follow-Through Day (FTD) signals for market bottom confirmation using William O'Neil's methodology. Dual-index tracking (S&P 500 + NASDAQ) with state machine for rally attempt, FTD qualification, and post-FTD health monitoring. Use when user asks about market bottom signals, follow-through days, rally attempts, re-entry timing after corrections, or whether it's safe to increase equity exposure. Complementary to market-top-detector (defensive) - this skill is offensive (bottom confirmation).
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Detect Follow-Through Day (FTD) signals that confirm a market bottom, using William O'Neil's proven methodology. Generates a quality score (0-100) with exposure guidance for re-entering the market after corrections.
Complementary to Market Top Detector:
English:
Japanese:
| Aspect | FTD Detector | Market Top Detector |
|---|---|---|
| Focus | Bottom confirmation (offensive) | Top detection (defensive) |
| Trigger | Market correction (3%+ decline) | Market at/near highs |
| Signal | Rally attempt → FTD → Re-entry | Distribution → Deterioration → Exit |
| Score | 0-100 FTD quality | 0-100 top probability |
| Action | When to increase exposure | When to reduce exposure |
Run the FTD detector script:
python3 skills/ftd-detector/scripts/ftd_detector.py --api-key $FMP_API_KEY
The script will:
API Budget: 4 calls (well within free tier of 250/day)
Present the generated Markdown report to the user, highlighting:
Based on the market state, provide additional guidance:
If FTD Confirmed (score 60+):
If Rally Attempt (Day 1-3):
If No Correction:
NO_SIGNAL → CORRECTION → RALLY_ATTEMPT → FTD_WINDOW → FTD_CONFIRMED
↑ ↓ ↓ ↓
└── RALLY_FAILED ←─────────────┘ FTD_INVALIDATED
| State | Definition |
|---|---|
| NO_SIGNAL | Uptrend, no qualifying correction |
| CORRECTION | 3%+ decline with 3+ down days |
| RALLY_ATTEMPT | Day 1-3 of rally from swing low |
| FTD_WINDOW | Day 4-10, waiting for qualifying FTD |
| FTD_CONFIRMED | Valid FTD signal detected |
| RALLY_FAILED | Rally broke below swing low |
| FTD_INVALIDATED | Close below FTD day's low |
| Score | Signal | Exposure |
|---|---|---|
| 80-100 | Strong FTD | 75-100% |
| 60-79 | Moderate FTD | 50-75% |
| 40-59 | Weak FTD | 25-50% |
| <40 | No FTD / Failed | 0-25% |
FMP_API_KEY environment variable or pass via --api-key flag.requests library installed.ftd_detector_YYYY-MM-DD_HHMMSS.jsonftd_detector_YYYY-MM-DD_HHMMSS.mdskills/ftd-detector/references/ftd_methodology.mdskills/ftd-detector/references/post_ftd_guide.mdskills/ftd-detector/references/ftd_methodology.md for full understandingskills/ftd-detector/references/post_ftd_guide.md还没有评价。欢迎分享你的使用感受。
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Plan and assess backtests, which test trading rules against historical data. Examine sensitivity to rule changes, trading costs, and data bias, then use supplied performance metrics to generate a structured evaluation with reasons that block adoption.
中文简介正在准备中。当前显示英语简介。
Analyze chart images showing how broadly US stocks are participating in market trends. Assess medium-term conditions and short-term signals, then produce an English report with positioning guidance, alternative scenarios, and risks based on the visible data.
中文简介正在准备中。当前显示英语简介。
Assess how broadly US stock market gains are shared across stocks using public CSV data and optional charts. Produce English reports covering market conditions, trading signals, scenarios, and positioning for different investment timeframes.
中文简介正在准备中。当前显示英语简介。
Turn VCP screening results, which identify narrowing price swings, into breakout trade plans. Calculate entry, stop-loss, target prices, and position sizes using worst-case entries, while applying portfolio risk limits and producing Alpaca-compatible order templates.
中文简介正在准备中。当前显示英语简介。
Screen US growth stocks with William O'Neil's CANSLIM method, which evaluates seven factors including earnings, price strength, trading volume, and market direction. Receive ranked candidates with composite scores, factor breakdowns, market warnings, and data quality notes.
中文简介正在准备中。当前显示英语简介。
Combine three reports on crowded positions, failed reactions to news, and weekly price reversals into one trading setup status. Identify missing or invalid evidence and determine whether the setup is ready for planning.
中文简介正在准备中。当前显示英语简介。