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Code examples, market analysis, and data quality deep-dives.

Does a High Dividend Yield Predict a Dividend Cut? Yield-Trap Screening in Python
Do Old Ticker Symbols Still Point to the Same Company? S&P 500 Ticker Recycling in Python
What Growth Is Priced Into the S&P 500? Reverse DCF in Python
Ticker vs CIK vs FIGI: Which Company ID to Use
Does Illiquidity Still Pay? Amihud Measure in the S&P 500 in Python
Where to Get R&D Spending Data for Public Companies
Does R&D Spending Predict Revenue Growth? Cross-Sectional Test in Python
What Actually Drives Return on Equity? DuPont Decomposition in Python
What Data Do You Need to Measure Portfolio Risk?
Does a 60/40 Portfolio Actually Cut Drawdowns? Stocks and Bonds in Python
Do Steady Margins Mean Calmer Stocks? Cross-Sectional Analysis in Python
Do Sectors Diversify When It Matters? Conditional Correlation in Python
How to Get Historical Market Cap Data in Python
How Much of the S&P 500 Survives 20 Years? Index Turnover Analysis in Python
Does Joining the S&P 500 Bring New Institutional Owners? 13F Event Study in Python
Is Volatility Seasonal? Calendar Month Analysis of Realized Volatility in Python
Does Fast Revenue Growth Force Companies to Borrow? Cash Funding Analysis in Python
How Far Back Does SEC EDGAR Data Go?
Are One-Time Charges Really One-Time? Charge Frequency Analysis in Python
Does Buying the Dip Work? Short-Term Reversal by Volatility Regime in Python
Alpha Vantage vs Massive vs xfinlink for Fundamentals
How Long Does a Stock Take to Recover From a 50% Fall? Drawdown Analysis in Python
Do Companies That Shrink Their Share Count Outperform? Net Buyback Yield in Python
How Much Does the Dow's Price Weighting Distort It? Index Weighting Analysis in Python
How to Get SEC Form 4 Insider Trading Data in Python
Can Anything Predict Next Month's Stock Returns? Out-of-Sample R-Squared Testing in Python
How Much of a Stock's Return Comes From Its Sector? Variance Decomposition in Python
Altman Z-Score: Where To Get It in Python
Do Value Screens Agree on Which Stocks Are Cheap? Multiple Overlap Analysis in Python
Annual vs Quarterly Financial Data: Which to Use
Do High Returns on Capital Persist? ROIC Fade Analysis in Python
Does Past Beta Predict Future Beta? Beta Stability Testing in Python
Do Defensive Sectors Actually Defend? Up and Down Capture in Python
How to Choose a Financial Data API
Do Small Caps Actually Beat Large Caps? Size Premium Test in Python
What If You Miss the Market's Best Days? Extreme-Day Analysis in Python
Does Rebalancing Add Return? Fixed-Weight vs Drift Portfolios in Python
Which S&P 500 Companies Are Closest to Default? Merton Distance-to-Default in Python
What Happens to Stocks Removed From the S&P 500? Replacement Pair Analysis in Python
Does the Golden Cross Work? 50/200 Moving Average Crossover Backtest in Python
Financial Data for Academic Finance Research
Does Skipping the Most Recent Month Improve Momentum? S&P 500 Decile Sorts in Python
Does Cointegration Survive Out of Sample? Pairs Trading Validation in Python
Which Dividends Are Not Covered by Cash? Free-Cash-Flow Coverage Screening in Python
GICS vs SIC vs NAICS: Which Industry Classification to Use
How Many Stocks Does It Take to Diversify? Random Portfolio Simulation in Python
How Many Days of Data Does a Volatility Estimate Need? Range-Based Estimators in Python
How Much of S&P 500 Cash Flow Is Stock Compensation? Cross-Sectional Analysis in Python
What Is a 13F Filing? Institutional Holdings Explained
Does Revenue Growth Explain Profit Growth? Cross-Sectional Decomposition in Python
How Much of the Nasdaq 100 Is Already in the S&P 500? Index Overlap Analysis in Python
How Often Does a 99% Value-at-Risk Limit Actually Break? VaR Backtesting in Python
Real-Time vs End-of-Day Market Data: Which Do You Need?
How Concentrated Are S&P 500 Earnings? Point-in-Time Index Analysis in Python
Does Volatility Scale With the Square Root of Time? Variance Ratio Test in Python
Does Goodwill Distort the Price-to-Book Screen? Goodwill-Adjusted Valuation in Python
How Are Shares Outstanding Reported (and Why They Disagree)
Do Low-Volatility Stocks Deliver Better Risk-Adjusted Returns? S&P 500 Quintile Sorts in Python
Does Trend Following Beat Buy and Hold? Time-Series Momentum in Python
Has the Stock-Bond Correlation Flipped? 60/40 Portfolio Risk in Python
What API to Use for a Stock Screener
Which Assets Hedge Inflation Shocks? Macro Factor Betas in Python
Does Covariance Shrinkage Beat the Sample Covariance? Minimum-Variance Portfolios in Python
Do Faster Inventory Turns Mean Thinner Margins? Gross Margin Return on Inventory in Python
SEC EDGAR API vs Fundamentals API: Which to Use
Does Fast Earnings Growth Persist? Rank Correlation Analysis in Python
Split Adjustment Explained: Adjusted Close vs Close
Which Trading Day of the Month Pays Best? Turn-of-the-Month Analysis in Python
Can You Use Yahoo Finance Data Commercially?
How Many Independent Bets Does a Nine-Sector Portfolio Give You? Eigenvalue Analysis in Python
Which Volatility Forecast Wins One Month Ahead? HAR vs EWMA in Python
How Concentrated Are Institutional Equity Portfolios? Form 13F Concentration Analysis in Python
Do Stocks Earn Their Returns Overnight or Intraday? Return Decomposition in Python
When Do Corporate Insiders Actually Trade? Form 4 Timing Analysis in Python
Data Requirements for Backtesting a Trading Strategy
What Is Survivorship Bias in Backtesting?
Do High Dividend Yields Come From Bigger Payouts or Falling Prices? Yield Decomposition in Python
Do Stocks Fall Harder Than They Rise? Downside Beta vs Upside Beta in Python
Does Volatility Targeting Improve Sharpe Ratios? Seven-Asset Backtest in Python
Free Stock Market Data APIs: What You Actually Get
How to Give an LLM Financial Data With an MCP Server
Does Post-Earnings Announcement Drift Survive Real Filing Dates? PEAD Event Study in Python
Do Insider Buying Clusters Predict Returns? Signal Testing in Python
Does the S&P 500 Index Effect Still Exist? Event Study in Python
Are Companies Leaving the S&P 500 Faster Than They Used To? Index Survival Analysis in Python
Does Gross Profitability Predict Stock Returns? Quintile Factor Test in Python
What Growth Rate Is the Market Pricing In? Reverse DCF in Python
Does a Strong Balance Sheet Cushion Drawdowns? Leverage and Downside Risk in Python
Does Ticker Recycling Corrupt a Mean-Reversion Backtest? Entity-Resolved Z-Scores in Python
How Much of a Growth Screen's Backtested Edge Is Survivorship Bias? Point-in-Time Index Testing in Python
Why Do Leveraged ETFs Decay? Measuring Volatility Drag in Python
Are Consumer Staples Margins Shrinking Under Inflation? Gross Margin Trend Analysis in Python
Do Weak Jobs Reports Predict Market Drawdowns? NFP Surprise Event Study in Python
Is the Rotation From Tech to Industrials Backed by Earnings? Relative EPS Growth Analysis in Python
Is the Semiconductor Rally Broadening Beyond NVIDIA? Return Dispersion Analysis in Python
Which Stocks Benefit Most When Oil Prices Fall? Oil Beta Screening in Python
Do Bond Returns Predict Stock Returns? Granger Causality Test in Python
Which Stocks Actually Drive Portfolio Returns? Shapley Value Attribution in Python
Does "Sell in May" Still Work? Calendar Anomaly Backtest in Python
How to Build Complete Price History Through Ticker Changes? Entity Resolution in Python
Are KO and PEP Cointegrated? Pairs Trading Signal Construction in Python
Which Commodities Have the Strongest Momentum? Rotation Backtest in Python
Which Commodity ETFs Have the Worst Tail Risk? Expected Shortfall in Python
Are Gold Miners Leveraged Gold Bets? Rolling Beta Analysis in Python
Does the Base-Metals-to-Gold Ratio Lead Cyclical Stocks? Signal Test in Python
Can Risk Parity Tame Commodity Volatility? Portfolio Optimization in Python
Are Power Stocks Becoming an AI Infrastructure Trade? Momentum Screening in Python
Which AI Chip Stocks Have Margin Momentum? Profitability Trend Analysis in Python
Which AI Stocks Are Cheapest Relative to Growth? Growth-Adjusted Valuation in Python
Does AI Stock Leadership Persist? Momentum Backtest in Python
Which AI Stocks Have the Cleanest Balance Sheets? Net Cash Screening in Python
Can Risk Parity Reduce Mega-Cap Drawdowns? Portfolio Optimization in Python
Which Growth Stocks Are Self-Funding? Cash-Flow Quality Screening in Python
Which Sectors Struggle When the Dollar Rallies? Sector Rotation Analysis in Python
Do Cheap Stocks Hold Up When Bonds Sell Off? Valuation Rotation in Python
Does the Nasdaq 100 Have Better Growth Quality Than the Dow? Index Constituent Analysis in Python
Do Healthcare Cash-Flow Margins Predict Returns? Signal Evaluation in Python
Which Dividend Stocks Survive a Cash-Flow Stress Test? Dividend Screening in Python
Does Heavy Insider Selling Predict Weak Returns? Insider Flow Test in Python
Can Quality Screens Reduce Small-Cap Balance-Sheet Risk? Russell 2000 Test in Python
Which Retailers Have Positive Operating Leverage? Margin Screening in Python
Is MSTR a Leveraged Bitcoin Proxy? Rolling Beta Analysis in Python
Is Micron's Memory Cycle Recovering? Inventory and Margin Forecasting in Python
Which Sectors Work When Bonds Rally? Rate-Sensitive Rotation in Python
Do One-Month Price Extremes Reverse? Signal Evaluation in Python
Do Low-Volatility S&P 500 Stocks Reduce Drawdowns? Factor Test in Python
Is AI Capex Paying Back Fast Enough? Revenue Hurdle Forecasting in Python
Could Shorter AI Asset Lives Hit Earnings? Depreciation Stress Test in Python
How Much AI Capex Risk Can a Portfolio Remove? Constrained Optimization in Python
Is the AI Capex Trade Crowded? Rolling Volatility and Sector Rotation in Python
Did the AI Boom Come From Existing S&P 500 Members? Point-in-Time Momentum Test in Python
Is AI Revenue Circular? Customer-Vendor Capex Loop Analysis in Python
Is the AI Trade Connected to Private Credit? Rolling Correlation Network in Python
Is Apollo More Balance-Sheet Sensitive Than Peers? Leverage Screen in Python
Are AI Earnings Supported by Cash Flow? Accrual and Capex Screen in Python
Can Defensive Stocks Hedge AI Drawdowns? Basket Regime Test in Python
How Fast Does the Market Price In Fed Decisions? FOMC Event Study in Python
How Much Are Options Sellers Overpaid? The Variance Risk Premium in Python
Which Companies Have the Worst Earnings Quality? Sloan Accrual Screen with Geographic Revenue Data in Python
Does the Oil-to-Gold Ratio Signal Recessions? XLE/GLD Backtest in Python
Is AI Spending Crowding Out Free Cash Flow? Capex Sustainability Across the Mag 7 in Python
Does a Long Energy / Short Bonds Portfolio Capture Inflation Surprises? Factor Construction in Python
Can a Hidden Markov Model Detect Oil Market Regimes? HMM Analysis in Python
Do Grain Prices Predict Food Inflation? Granger Causality Test in Python
Does the Corporate Credit Spread Predict Stock Market Crashes? BAA-AAA Spread Analysis in Python
Do Oil Stocks Hedge Inflation? Rolling Beta Analysis in Python
Which Stocks Are Most Rate-Sensitive? Equity Duration via Bond Beta in Python
Which Companies Have the Highest Accrual Ratios? Earnings Quality Screening in Python
Is Alpha Persistent or Decaying? Rolling Sharpe Ratio Analysis in Python
Are Markets Trending or Mean-Reverting? Hurst Exponent Analysis in Python
Is Consumer Discretionary vs Staples a Leading Indicator? XLY/XLP Ratio Analysis in Python
Does Heavy Capex Predict Future Stock Returns? Capital Expenditure Analysis in Python
How to Estimate Cost of Equity Using CAPM in Python
Is Volatility Predictable? Testing for Volatility Clustering in Python
Which Industrials Are Overleveraged? Net Debt to EBITDA Screening in Python
GM Before and After Bankruptcy: Why Entity Resolution Matters for Financial Data
What Is Adjusted Beta? Merrill Lynch Beta Shrinkage in Python
How Good Is a Stock Pick? Information Ratio and Tracking Error in Python
Do Stock Returns Follow a Normal Distribution? Testing for Fat Tails in Python
Which Large Caps Have the Highest Free Cash Flow Yield? FCF Screening in Python
Which Sectors Won Over 5 Years? Sector Rotation Analysis in Python
How to Forecast Stock Volatility with GARCH Models in Python
Are Stock Prices Mean-Reverting? Augmented Dickey-Fuller Test in Python
How to Calculate CAPM Alpha and Beta with Regression in Python
How to Compare Sector Sharpe Ratios and Sortino Ratios in Python
DELL: Why Stitching Historical Price Data Together Is Wrong
How to Analyze Drawdown and Recovery for Bank Stocks in Python
How to Screen SaaS Stocks by Revenue Growth and Cash Flow in Python
How to Screen REITs by Dividend Yield and Valuation in Python
How Correlated Are the Magnificent 7? Intra-Group Correlation in Python
AAPL vs XOM: Do Individual Stocks Have Seasonal Patterns?
How to Rank Large-Cap Stocks by Momentum in Python
How to Build a Multi-Endpoint Financial Dashboard in Python
How to Compare Volatility Across Energy Stocks in Python
How to Screen Healthcare Stocks by Valuation in Python
How to Build a Sector Correlation Matrix for Portfolio Diversification in Python
How to Find Oversold and Overbought Stocks Using Z-Scores in Python
How to Measure Earnings Quality: Cash Flow vs Net Income in Python
How to Build a Multi-Factor Stock Screen in Python (Value + Momentum + Quality)
How to Build a Simple DCF Model for Any Stock in Python
How to Screen Tech Stocks by Revenue Growth in Python
How to Screen Stocks by Balance Sheet Health in Python
Is "Sell in May" Real? SPY Monthly Seasonality Over 10 Years
How to Compare Sector Performance YTD Using Python
How to Screen Dividend Stocks by Yield and Quality in Python
How to Calculate Max Drawdown and Recovery Time for Any Stock in Python
How to Compare Profitability Across Mega-Cap Tech Stocks in Python
Why Ticker Symbols Are Unreliable: The Recycling Problem Every Quant Should Know
How to Calculate and Compare Stock Volatility in Python
How to Screen Blue-Chip Stocks by P/E Ratio in Python
How to Track Companies Through Ticker Changes, Bankruptcies, and Renames in Python
S&P 500 Turnover: How Much the Index Has Changed Since 2010
How to Calculate Stock Beta and Correlation in Python
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Ticker vs CIK vs FIGI: Which Company ID to Use

Store the CIK when the unit of work is a filing, store the FIGI when the unit of work is a traded instrument, and treat the ticker as a label rather than a key. The three are not competing versions of one thing. A CIK names whoever files with the SEC, a FIGI names a security as it trades, and a ticker names whichever company happens to be listed under that string today. Anything that joins financial statements to prices across a decade needs at least two of them, plus a company-level key that neither system sets out to provide.

What does each identifier actually identify?

The SEC describes the CIK narrowly, and the wording repays a literal reading. The Central Index Key “is used on the SEC’s computer systems to identify corporations and individual people who have filed disclosure with the SEC”, EDGAR “assigns to filers a unique numerical identifier, known as a Central Index Key (CIK), when they sign up to make filings to the SEC”, and “CIK numbers remain unique to the filer; they are not recycled”. Both pages were read on 18 August 2026. The object being identified is a filer. Executives who file Form 4 carry their own CIK for the same reason a corporation does.

OpenFIGI writes in a similar register about instruments. “FIGIs, however, never change, are never reused, and are permanent, allowing users to maintain data integrity over a time period of multiple corporate actions and changes”, and in equities the identifier “is assigned at venue, country and global share class level”. FIGI is a standard of the Object Management Group with Bloomberg as Registration Authority, and the site states that the web API “is free to use without daily, weekly or monthly limitations”. Read 18 August 2026.

Neither definition mentions a company. That omission is the whole subject of this guide.

Identifier Assigned by Names Permanent Reaches
Ticker The listing venue Whatever is listed under the string now No Quotes and prices, for as long as the listing lasts
CIK EDGAR, at filer registration The filer, corporate or personal Yes, and not recycled Filings, XBRL statements, insider forms
FIGI OMG standard, Bloomberg as Registration Authority An instrument, at venue, country and share class level Yes, never reused Instrument-level market and reference data

Sources, read 18 August 2026: the SEC CIK lookup page, the SEC Accessing EDGAR Data page, and the OpenFIGI features page plus the OpenFIGI about page.

Why does a ticker break a database?

Because the string outlives its owner, and nothing in the data announces the change of hands.

import xfinlink as xfl

xfl.set_api_key("YOUR_API_KEY")  # free at https://xfinlink.com/signup

info = xfl.resolve("GM")
for e in info["data"]["GM"]["entities"]:
    print(e["entity_id"], e["name"], e["cik"],
          e["ticker_valid_from"], e["ticker_valid_to"] or "current")
4 General Motors Corporation (pre-2009 bankruptcy) 0000040730 1962-07-02 2009-06-01
5 General Motors Company 0001467858 2010-11-18 current

Two companies, two CIKs, one set of letters. The SEC issued 0001467858 because a new legal entity began filing, which is the documented behaviour: a CIK is unique to the filer, so a new filer means a new number. The identifier is doing its job. It simply does not carry the information that the letters GM meant a different company until June 2009, nor that no company held those letters between June 2009 and November 2010.

The consequence shows up the moment prices are requested.

live = xfl.prices("GM", period="max", fields=["close"])
old = xfl.prices(entity_id=4, start="2008-01-02", end="2008-12-31", fields=["close"])

print(f"ticker GM:   {len(live)} sessions from {live['date'].min().date()}")
print(f"entity_id 4: {len(old)} sessions, close {old['close'].iloc[0]} -> {old['close'].iloc[-1]}")
ticker GM:   3956 sessions from 2010-11-18
entity_id 4: 253 sessions, close 24.41 -> 3.2

The ticker’s full history starts in November 2010, because that is when the current company listed. The 2008 collapse from $24.41 to $3.20 belongs to a different legal person, reachable by its entity identifier. A vendor that keys on the string alone has two ways to be wrong here: drop the earlier company entirely, or paste the two series together into a chart of a 2008 crash followed by a recovery that no shareholder ever received. We have worked through the GM case and recycled tickers more generally with the numbers attached.

When is the CIK the right key?

Whenever the row being stored is a filing. Reconciling to a 10-K, pulling XBRL facts, tracking Form 4 activity, checking who signed a registration statement: all of these are filer-level questions, and the filer-level identifier is the one EDGAR itself uses. It joins cleanly to every SEC endpoint, it survives a name change, and it costs nothing.

Two limits are worth knowing before treating it as a company key. A CIK belongs to whoever registered, so a restructured business appears under a new number while the old one stays valid and frozen, exactly as the GM output shows. And EDGAR carries no prices, so a CIK reaches statements and stops there.

Market-data vendors vary in whether they hand you the join. Alpha Vantage’s Company Overview endpoint, called with its documented demo key on 18 August 2026, returns a CIK field alongside Symbol and Name, which makes the hop from a price row to a filing straightforward for anyone already using that endpoint.

When is the FIGI the right key?

Whenever the row being stored is an instrument. Order routing, execution records, position keeping, anything where a share class or a listing venue is the real subject: the FIGI was built for that, and its permanence guarantee is exactly what a trade blotter needs.

That same precision rules it out as a company key. Assignment happens at venue, country and share class level, by the standard’s own description, so a dual-class issuer holds more than one identifier and a company-level total built by summing FIGIs double-counts or splits, depending on which way the error falls. Instrument identity and issuer identity are different questions, and the FIGI answers the first one deliberately.

How do you carry all three in Python?

Keep a company-level key of your own, and hang the external identifiers off it. That is the shape xfinlink stores: a permanent entity_id per company, built from SEC EDGAR public filings and market data, with the public identifiers attached to the same record.

res = xfl.resolve(["AAPL", "MSFT", "META", "JPM", "XOM"])
for t, payload in res["data"].items():
    e = payload["entities"][0]
    print(f"{t:<6}{e['entity_id']:>6}  {e['cik']}  {e['figi']}  {e['name']}")
AAPL       1  0000320193  BBG000B9XRY4  Apple Inc
JPM     1537  0000019617  BBG000DMBXR2  JPMORGAN CHASE & CO
META       2  0001326801  BBG000MM2P62  Meta Platforms Inc
MSFT    8611  0000789019  BBG000BPH459  MICROSOFT CORP
XOM     2735  0000034088  BBG000GZQ728  EXXON MOBIL CORP

One call returns the internal key for joining prices, fundamentals, metrics, insider transactions and institutional holdings, the CIK for reaching EDGAR directly, and the composite FIGI for reconciling against an instrument-keyed system. entity_id is accepted as an argument everywhere a ticker is, which is how the pre-2009 General Motors was reached above. The docs list what each endpoint returns, and the pricing page covers history depth by plan. Classification codes work the same way and follow the same trap of looking interchangeable when they are not, which the GICS, SIC and NAICS comparison sets out.

FAQ

Can two different companies share one ticker?
Yes, and it is common enough to matter. The letters GM covered one company from 1962 to 2009 and a different one from 2010 onward, each with its own CIK and its own price history.

Is a CIK enough to identify a company over time?
For filings, yes, and the SEC states that CIK numbers are not recycled. For a business that has passed through a restructuring, no: a new filer receives a new CIK, so two numbers describe what most people would call one company.

Does a FIGI cost anything?
No. FIGI is a standard of the Object Management Group, and OpenFIGI states that its web API is free to use without daily, weekly or monthly limitations.

Which key should a research database use?
A company-level key you control, with the CIK and the FIGI stored as attributes rather than as the primary key. Filings and instruments are both downstream of the company, and only the company key survives a ticker change, a share-class split and a restructuring at once.

Built with xfinlink — free financial data API for Python. pip install -U xfinlink

Built with xfinlink — free financial data API for Python. pip install -U xfinlink
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