Topic · Business, Finance & HR
Best financial analysis skills, page 3
Financial analysis skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Builds a ranked calendar of dated events such as earnings, regulatory decisions, flows and macro releases, ordered by what each can change, with prep owners and a weekly preview. | ginlix-ai/ | 1.8k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | today |
| 98 | Finance research toolkit with backtesting, factor analysis, a library of prebuilt alphas, options pricing and a Shadow Account loop that tests rules extracted from your trade journal. | HKUDS/ | 35k | — | ~6.5k | Automated safety check: Pass | MIT | today |
| 99 | Apply Xiao Xing's financial statement analysis framework from 一本书读懂财报 (Understanding Financial Reports in One Book). | simbajigege/ | 184 | 1 repo | ~1.1k | Automated safety check: Pass | Unknown | 1 mo ago |
| 100 | Evaluates whether a feature deserves investment by weighing revenue connection, cost structure, ROI and strategic value, then gives a build or don't-build recommendation. | deanpeters/ | 7.2k | 1 repo | ~5.6k | Automated safety check: Pass | Unknown | 1 mo ago |
| 101 | Evaluates a proposed pricing change by modeling its effect on ARPU, conversion, churn risk, expansion and CAC payback, for a go or no-go decision. | deanpeters/ | 7.2k | 1 repo | ~5.9k | Automated safety check: Pass | Unknown | 1 mo ago |
| 102 | Reference and evaluator for SaaS unit economics and capital efficiency: gross margin, CAC, LTV, burn, runway and magic number, to decide whether to scale or optimize. | deanpeters/ | 7.2k | 1 repo | ~6.4k | Automated safety check: Pass | Unknown | 1 mo ago |
| 103 | Explains and calculates SaaS revenue, retention and growth metrics such as MRR, ARPU, GRR and NRR, to read momentum, churn and product-market-fit signals. | deanpeters/ | 7.2k | 1 repo | ~5.8k | Automated safety check: Pass | Unknown | 1 mo ago |
| 104 | Frameworks for comparing the A-share, H-share and US ADR prices of one Chinese company: AH premium, arbitrage signals, dual-listing valuation and delisting risk. | HKUDS/ | 35k | — | ~2.5k | Automated safety check: Pass | MIT | today |
| 105 | Pulls free market data from the AKShare Python library: A-share, US and Hong Kong prices, futures, China macro series and forex, with notes on symbol formats and Chinese column names. | HKUDS/ | 35k | — | ~777 | Automated safety check: Pass | MIT | today |
| 106 | Explains portfolio theory and the built-in optimizers: mean-variance (MPT), Black-Litterman, risk budgeting and all-weather allocation, plus rebalancing rules and config output. | HKUDS/ | 35k | — | ~2.9k | Automated safety check: Pass | MIT | today |
| 107 | Analyzes crude oil, gold and copper through supply-demand balance, pricing models, inventory cycles and futures structure, and outputs directional signals suitable for backtesting. | HKUDS/ | 35k | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 108 | Analyzes Chinese A-share convertible bonds with a three-part valuation, clause game analysis, the double-low strategy and a rotation framework for choosing bonds; instructions are in Chinese. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 109 | Builds event-driven analysis for A-share companies: merger arbitrage spreads, shareholder buying and selling signals, equity incentives, placements and ST or delisting warnings; Chinese text. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 110 | Covers bond pricing, credit ratings, default risk models (Altman Z-score, Merton, KMV), spread analysis and rate risk for fixed income work, with a focus on China's bond market; Chinese text. | HKUDS/ | 35k | — | ~4.8k | Automated safety check: Pass | MIT | today |
| 111 | Compares DeFi yields across lending, liquidity provision, staking and yield farming, adjusts them for risks such as impermanent loss, and judges whether a protocol's returns are sustainable. | HKUDS/ | 35k | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 112 | Separates durable dividends from yield traps by checking yield quality, payout coverage, balance sheet strength, dividend history and valuation, with sector-specific payout measures. | HKUDS/ | 35k | — | ~2k | Automated safety check: Pass | MIT | today |
| 113 | Tracks analyst estimate revisions, earnings surprises, management guidance and post-earnings drift for US and Hong Kong stocks, and turns them into long and short signals. | HKUDS/ | 35k | — | ~2.5k | Automated safety check: Pass | MIT | today |
| 114 | Interprets US company filings from SEC EDGAR (10-K, 10-Q, 8-K, proxy statements, Form 4) to pull out financials, risk factors and investment signals. | HKUDS/ | 35k | — | ~3.1k | Automated safety check: Pass | MIT | today |
| 115 | Framework for analyzing ETFs with emphasis on China's market: product types, tracking error, fees, premium and discount, liquidity, fund size and picking among ETFs on one index; Chinese text. | HKUDS/ | 35k | — | ~4.8k | Automated safety check: Pass | MIT | today |
| 116 | Reads the income statement, balance sheet and cash flow statement together to judge earnings quality, apply DuPont analysis and check 12 red-flag indicators for manipulation; Chinese text. | HKUDS/ | 35k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 117 | Evaluates mutual funds, private funds and ETFs by return, risk and risk-adjusted metrics, style box and drift, and manager quality, then builds FOF portfolios; Chinese text. | HKUDS/ | 35k | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 118 | Builds value or growth stock screens from PE, PB, ROE and financial statement fields for backtests, using tushare data for A-shares and yfinance for Hong Kong and US stocks. | HKUDS/ | 35k | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 119 | Framework for central bank policy, exchange rate forecasting, geopolitical risk and capital flows that produces macro factor signals to guide cross-asset allocation. | HKUDS/ | 35k | — | ~1.9k | Automated safety check: Pass | MIT | today |
| 120 | Designs hedging plans for existing positions with futures, ETFs and options, covering beta hedges, protective puts, collars, tail risk and cross-asset hedges, with hedge ratios and cost estimates. | HKUDS/ | 35k | — | ~2.7k | Automated safety check: Pass | MIT | today |
| 121 | Analyzes Northbound and Southbound Stock Connect flows between the mainland and Hong Kong, including quota use, sector allocation shifts and cross-border arbitrage signals. | HKUDS/ | 35k | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 122 | Reads GDP, inflation, PMI, rates and FX data plus central bank policy to place the economy in a cycle stage and derive major asset allocation tilts for China, the US and Europe. | HKUDS/ | 35k | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 123 | Assesses a company's management on integrity, ability, capital allocation and governance from public information, producing a weighted score and a final trust verdict. | HKUDS/ | 35k | — | ~2.2k | Automated safety check: Pass | MIT | today |
| 124 | Explains why a portfolio beat or lagged its benchmark with Brinson sector attribution, factor alpha and beta decomposition, timing evaluation and benchmark comparison. | HKUDS/ | 35k | — | ~3.1k | Automated safety check: Pass | MIT | today |
| 125 | Runs a six-lens research framework on pre-IPO and private companies, labels every data point by confidence, and produces a fair-value range, exit-path analysis and information-gap map. | HKUDS/ | 35k | — | ~3.5k | Automated safety check: Pass | MIT | today |
| 126 | Measures portfolio and backtest risk with VaR, CVaR, maximum drawdown, Monte Carlo simulation, tail modeling and stress tests, using one tested risk module. | HKUDS/ | 35k | — | ~3.8k | Automated safety check: Pass | MIT | today |
| 127 | A-share sector rotation workflow in Chinese: scores Shenwan industries on prosperity, ranks momentum and compares valuation, earnings and fund flows. | HKUDS/ | 35k | — | ~965 | Automated safety check: Pass | MIT | today |
| 128 | Turns market mood into numbers: fear-and-greed gauges, put-call ratio, margin financing, northbound flows and social media chatter, combined into one score. | HKUDS/ | 35k | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 129 | Learns profit patterns from your own trade journal, backtests them across A-share, Hong Kong, US and crypto markets, and explains the gap against real results. | HKUDS/ | 35k | — | ~567 | Automated safety check: Pass | MIT | today |
| 130 | Reads crypto market liquidity from stablecoin supply changes, USDT and USDC mint and burn events, exchange reserves and velocity, to time capital rotation. | HKUDS/ | 35k | — | ~2.5k | Automated safety check: Pass | MIT | today |
| 131 | Analyzes token vesting and unlock schedules plus project treasury holdings to estimate sell pressure around cliff and linear releases. | HKUDS/ | 35k | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 132 | Tracks institutional money through US ETF creations and redemptions, sector breadth and style flows to read risk appetite and sector rotation. | HKUDS/ | 35k | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 133 | Walks through company valuation with DCF, dividend discount and sum-of-the-parts models, relative multiples, sensitivity tables and a valuation-trap checklist. | HKUDS/ | 35k | — | ~2.2k | Automated safety check: Pass | MIT | today |
| 134 | Runs a four-role parallel research team on a listed company, each role applying one investor's lens to business, financials, industry and risk before a lead agent combines the results. | xbtlin/ | 17k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 135 | Researches a company's leadership from public sources: statements versus results, capital allocation decisions, governance and pay, and feedback from outside the firm. | xbtlin/ | 17k | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 136 | Explains a sudden stock price move by scouting company events, regulation, industry rivals and market sentiment in parallel, then judges the main cause and whether to revisit the thesis. | xbtlin/ | 17k | — | ~1.8k | Automated safety check: Pass | MIT | yesterday |
| 137 | 137.Portfolio Review Reviews an investment portfolio holding by holding and as a whole: position health, concentration, overlap and opportunity cost, from a holdings list or saved portfolio file. | xbtlin/ | 17k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 138 | 138.Quality Screen Screens companies against seven hard financial tests and exemption rules to rule out clearly non-top-tier businesses, for single stocks, industries or indexes. | xbtlin/ | 17k | — | ~1.2k | Automated safety check: Pass | MIT | yesterday |
| 139 | Compares two dated research reports on one company to separate real factual change from price moves and rewording, then reports whether the investment thesis has drifted. | xbtlin/ | 17k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 140 | Builds a written investment thesis for a stock with sell conditions set before buying, then runs periodic checks of its core assumptions after each earnings report. | xbtlin/ | 17k | — | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 141 | Takes one end-of-session reading of US capital flow across sector cohorts, names the dominant rotation narrative and saves a dated journal file. | kansoku-trade/ | 327 | — | ~1.9k | Automated safety check: Pass | Unknown | 12 days ago |
| 142 | Analyze company annual reports, quarterly reports, 10-K/10-Q filings, earnings releases, shareholder letters, or financial-report PDFs/URLs/files and produce a professional Chinese Markdown report… | digoal/ | 8.6k | — | ~1.2k | Automated safety check: Pass | GPL-2.0 | 10 days ago |
| 143 | 143.Finance Financial analysis expertise for financial modeling (DCF, LBO, M&A), valuation, financial statement analysis, capital allocation, treasury management, and corporate finance decisions. | travisjneuman/ | 101 | 1 repo | ~3k | Automated safety check: Pass | MIT | yesterday |
| 144 | Analyze earnings releases, filings, transcripts, guidance, peer comparisons, market reaction, and thesis impact for a company reporting event. | byteseek/ | 275 | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
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