BaggaT236/AI-Trading-Skills

Ai agent claude trading skills for disiplined, repeatable trading workflows with a modern typescript platform

This repository also configures its own agents. See what AI-Trading-Skills tells them →

121Stars on the repository
66Mods indexed here, across every type
9d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Analyze Stockbee-style Day 1 Episodic Pivot candidates from earnings, guidance raises, M&A, FDA/regulatory approvals, analyst actions, major contracts, product launches, short-squeeze catalysts, or theme/story events. Scores catalyst quality together with gap/range expansion, volume shock, neglect/revaluation context…

not rated 121 9d ago A 122 tokens copy · 100% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Screen US stocks for Stockbee-style selling-exhaustion hammer setups using prior momentum, pullback depth, undercut/reclaim, long lower-wick geometry, close-location, volume confirmation, quality/liquidity gates, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, exhaustion setup, selling…

not rated 121 9d ago A 104 tokens copy · 100% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Screen US stocks for Stockbee-style short-term Momentum Burst setups using 4% breakout, dollar breakout, range expansion, volume expansion, prior range contraction, close-location, failure filters, and risk-distance scoring. Use when the user asks for Stockbee, Pradeep Bonde, momentum burst, 4% breakout, range…

not rated 121 9d ago A 97 tokens copy · 100% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Use when the user wants to study Stockbee Momentum Burst examples, track failed candidates, build setup fluency, review A/B…

not rated 121 9d ago A 98 tokens copy · 100% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Detect backtest iteration stagnation and generate structurally different strategy pivot proposals when parameter tuning reaches a local optimum.

not rated 121 9d ago A 28 tokens copy · 100% MIT

theme-detector

54

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.

not rated 121 9d ago A SkillSpector: pass 51 tokens original MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Generate falsifiable trade strategy hypotheses from market data, trade logs, and journal snippets. Use when you have a structured input bundle and want ranked hypothesis cards with experiment designs, kill criteria, and optional strategy.yaml export compatible with edge-finder-candidate/v1.

not rated 121 9d ago A 60 tokens copy · 100% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Review closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns. Use after trader-memory-core and signal-postmortem have produced records, or when the user asks for a post-trade coach, risk-manager style review…

not rated 121 9d ago A 97 tokens copy · 100% MIT

trader-memory-core

57

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

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. Trigger when user says "register thesis"…

not rated 121 9d ago A 96 tokens copy · 89% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Recommend the right trading workflow, skillset, API profile, and setup path from a natural-language goal. Use this as the on-ramp when a user expresses a trading or investing goal and needs to know which skill/workflow to use, where to start, or whether something works without paid API keys — e.g. "where do I start"…

not rated 121 9d ago A 151 tokens copy · 89% MIT

uptrend-analyzer

59

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Analyzes market breadth using Monty's Uptrend Ratio Dashboard data to diagnose the current market environment. Generates a 0-100 composite score from 5 components (breadth, sector participation, rotation, momentum, historical context). Use when asking about market breadth, uptrend ratios, or whether the market…

not rated 121 9d ago A 75 tokens copy · 100% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Screen US stocks for high-quality dividend opportunities combining value characteristics (P/E ratio under 20, P/B ratio under 2), attractive yields (3% or higher), and consistent growth (dividend/revenue/EPS trending up over 3 years). Supports two-stage screening using FINVIZ Elite API for efficient pre-filtering…

not rated 121 9d ago A 102 tokens copy · 100% MIT

vcp-screener

61

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP) and detect historical VCPs in a single ticker's price path. Identifies Stage 2 uptrend stocks forming tight bases with contracting volatility near breakout pivot points; in historical single-ticker mode walks a multi-year history and emits…

not rated 121 9d ago A 141 tokens copy · 100% MIT

BaggaT236/AI-Trading-Skills

Skill Claude CodeCodex

Generate a weekly performance summary from closed trader-memory-core theses — win rate, expectancy, profit factor, R-multiple, MAE/MFE, and win/loss pattern analysis by source skill, exit reason, thesis type, sector, and mechanism. No API required; pure local calculation.

not rated 121 9d ago A 63 tokens copy · 100% MIT

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