Results for “stock-screener”

13 skills
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tradermonty
vcp-screener
Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path.
2.3k · bundle
tradermonty
pead-screener
Screen post-earnings gap-up stocks for Post-Earnings Announcement Drift patterns using weekly candle analysis to detect red candle pullbacks and breakout signals.
2.3k · bundle
alphagbm
alphagbm-watchlist
Monitor a list of tickers for key changes in price, IV rank, unusual activity, earnings dates, and score changes. Supports custom watchlists and a default hot options list.
1.2k
tradermonty
trader-memory-core
Track investment theses across their lifecycle — from screening idea to closed position with postmortem. Register theses from screener outputs, manage state transitions, attach position sizing, review due dates, and generate postmortem reports with P&L and MAE/MFE analysis.
2.3k · bundle
lord1egypt
stocks
Fetches stock quotes, search, history, comparisons, and crypto prices from Yahoo Finance via a read-only Python script.
2
tradermonty
earnings-trade-analyzer
Screens recent post-earnings stocks using a 5-factor scoring system (Gap Size, Pre-Earnings Trend, Volume Trend, MA200 Position, MA50 Position) and assigns A/B/C/D grades to identify momentum trade candidates.
2.3k · bundle
tradermonty
us-stock-analysis
Analyze US stocks with fundamental and technical analysis, peer comparisons, and investment reports using real-time market data.
2.3k · bundle
tradermonty
stockbee-20pct-study
Scans US equities for daily +20%/-20% movers, classifies catalysts and chart context, updates forward outcomes, and summarizes cohort patterns for research.
2.3k · bundle
tradermonty
stockbee-setup-fluency-trainer
Build and maintain a model book for Stockbee-style Momentum Burst setups by ingesting screener candidates, updating 3-day and 5-day forward outcomes with MFE/MAE and stop-hit status, and summarizing cohort statistics to improve setup recognition.
2.3k · bundle
aaaaqwq
pine-visualizer
Decomposes trading ideas into actionable Pine Script components by analyzing YouTube videos or conceptual questions, then produces structured implementation plans.
1