Equity Research Earnings Analysis
anthropics
Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.
OPENAGENTSKILL / DIRECTORY
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Results: 92
anthropics
Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.
xuboyuebobb
Evaluate systematic strategy ideas through signal testing, statistical validation, decay, execution costs, and model-risk review.
EliteQuant
A list of online resources for quantitative modeling, trading, portfolio management
bitcoinvsalts
💰 Cryptocurrency Trading Strategy & Portfolio Management Development Framework for Binance. 🤖
pseudo-longinus
A股·港股·美股量化分析 Agent Skill。支持行情、估值、财务查询、选股筛选、因子计算、策略回测。Quant agent skill for A-share, HK & US stocks — market data, fundamentals, screening, factor & backtest.
Superior-Trade
Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid
ZhengyaoJiang
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf…
moss-site
LLM-powered trading agents that turn plain natural language into a five-pillar strategy: Trend, Mean-Reversion, Momentum, Volume, and Risk. Each strategy is hosted, self…
ricequant
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
pineforge-4pass
Deterministic PineScript v6 backtest runtime. Validated trade-for-trade against TradingView.
fmilthaler
A program for financial portfolio management, analysis and optimisation.
Geeksfino
Screen equities with systematic value, momentum, quality, volatility, size, and growth factor frameworks.
NVIDIA-AI-Blueprints
cuFOLIO is a GPU-accelerated portfolio optimization toolkit for building, backtesting, and scaling modern investment workflows with NVIDIA cuOpt and CUDA-X Data Science.
santoshlite
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
AlphaGBM
Analyze a ticker with AlphaGBMs five-pillar framework: fundamentals, technicals, sentiment, flows, and valuation.
Owner-curated external sources. Not filtered by the scores or compatibility controls above; excluded from GitHub rankings and automatic installation.
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