Research Library
Meridian Knowledge Hub
Source-first guides to public filings and market records: what each dataset shows, when it updates, and what it cannot establish.
JPMORGAN CHASE & CO 13F filing dated 2026-05-13: what it discloses
JPMORGAN CHASE & CO's amended 13F-HR/A filing dated 2026-05-13 disclosed $1,557,139,501,048 across 7499 reported positions.
Citadel Advisors amended SEC filing: what it discloses
Citadel Advisors LLC submitted an amended SEC filing that discloses reported portfolio value, reported positions, and selected option positions as filing-date disclosures.
BANK OF AMERICA CORP /DE/ SEC holdings filing dated 2026-08-14
BANK OF AMERICA CORP /DE/ submitted its SEC holdings filing dated 2026-08-14, disclosing $1,552,074,225,223 across 5665 reported positions.
Bank of America 2026 SEC filing: institutional exposure led by NVIDIA, Apple, and Microsoft
BANK OF AMERICA CORP /DE/ disclosed $1,367,983,567,206 across 5689 reported positions, led by large reported exposures to NVIDIA, Apple, Microsoft, broad index funds, and major financial-sector holdings.
JPMORGAN CHASE & CO SEC filing dated 2026-08-12: disclosed portfolio and positions
JPMORGAN CHASE & CO's SEC filing dated 2026-08-12 disclosed $1,807,041,234,839 in total reported portfolio value across 7720 reported positions.
FMR LLC Filing Dated 2026-05-15: What It Discloses
FMR LLC submitted a Form 13F-HR filing dated 2026-05-15. The filing discloses $1,898,434,661,409 across 5417 reported positions.
FMR LLC filing dated 2026-08-13: what it discloses
FMR LLC submitted a filing dated 2026-08-13 that disclosed $2,303,878,429,723 in reported portfolio value across 5572 reported positions.
Dark Pool Short Volume: What Institutional Shorting Data Really Tells You
Dark pool short volume ratio — the percentage of off-exchange trades that are labeled 'short' — is one of the most misunderstood metrics in retail investing. The common assumption that high short volume is bearish is largely wrong; most dark pool 'short' volume represents market-maker hedging and intraday liquidity operations, not directional bearish bets. The real signal comes from sustained anomalies in the Dark Pool Index (DPI) and statistical Z-scores that distinguish genuine institutional accumulation from routine activity. Meridian's dark pool module applies these filters to surface the trades that actually matter.
NVDA Smart Money Signals: What Congress, Insiders & Dark Pools Reveal
This article is a dated early-March-2026 snapshot of conflicting public signals, not a current rating or forecast. Review each source date before using it as research context.
How to Evaluate Congress Stock Trackers in 2026
Evaluate a congressional trading tracker by reproducing a sample against primary disclosures. Vendor features and prices change; source traceability, date semantics, amendments, and coverage gaps matter more than static rankings.
Short Squeeze Mechanics: DTC, Cost to Borrow, and the Squeeze Signal
Short squeezes occur when heavily shorted stocks experience rapid price appreciation, forcing short sellers to buy shares to cover positions and creating a feedback loop of rising prices. The key metrics—Days to Cover (DTC), Cost to Borrow (CTB), and Short Interest % of Float—describe how constrained short positions are. When DTC is elevated, CTB is high, and a catalyst emerges (earnings beat, insider buying, activist involvement), the conditions that have historically preceded squeezes are in place. Academic research and case studies (GameStop 2021, Tesla 2020, Porsche/VW 2008) illustrate the mechanics.
Meridian Quick Start: A Source-First Research Workflow
Start with a research question, open the relevant source view, verify the original record and timestamp, then compare independent evidence. Meridian scores organize research; they do not predict returns or prescribe trades.
Insider Cluster Buying: The Strongest Signal in SEC Filings
Insider cluster buying occurs when three or more C-suite executives or directors purchase company shares on the open market within a tight 14-day window. Academic research on insider trading (Alldredge & Blank, Journal of Financial Research, 2019) finds that clustered insider purchases are associated with higher subsequent abnormal returns than solitary purchases, consistent with clustering reflecting shared information rather than coincidence. The signal is compelling because it filters noise: while one person might buy for personal reasons, three executives buying simultaneously points to a shared conviction that the stock is undervalued or a positive catalyst is near. Meridian automatically detects cluster events from SEC Form 4 filings and flags them in real time.
How to Read a Smart Money Confluence Score
A confluence score organizes available public signals into a research ranking. Read the source details, timestamps, conflicts, and missing inputs before the number. The score does not estimate returns or prescribe an investment action.
Institutional Disclosures vs Retail: What Public Records Can Show
“Smart money” is a media label, not proof of superior performance. Public records can support research when their scope, lag, provenance, amendments, and interpretation limits remain visible.
Using Smart-Money Signals in a Research Workflow
Public signals can prioritize research, but they do not determine a trade or portfolio allocation. A careful workflow verifies the source, compares independent evidence, adds business context, documents uncertainty, and keeps risk decisions outside the signal score.
Options Flow & Unusual Activity: How to Interpret the Record
Options records describe contracts and execution, not beneficial ownership or motive. Review spreads, rolls, event risk, liquidity, volatility, and delayed open interest before interpreting unusual activity.
ARK Invest: Tracking Cathie Wood's Disruptive Bets
ARK Invest publishes its full ETF holdings every single trading day — a roughly 90-day transparency advantage over traditional 13F filings. This gives a near-real-time read on an active manager's conviction and on where its own order flow is adding buying or selling pressure, though ARK's concentrated small-cap positions amplify both the opportunity and the volatility.
What Is Dark Pool Trading? Records, Limits, and Common Misreadings
Dark pools are regulated non-displayed venues. Public trade reports and FINRA ATS aggregates have different timing and fields, and neither normally identifies the beneficial owner, motive, or future direction.
How to Read Meridian's Conviction Score
The Meridian Conviction Score ranks publicly reported signal records associated with a ticker. It is not intrinsic value, expected return, or an investor's stated conviction. Use it to open and verify the underlying evidence.
How to Read Berkshire Hathaway's 13F Filings
Berkshire Hathaway's 13F is a delayed snapshot of specified securities, not a live or complete portfolio. Tie each claim to the SEC filing, quarter, accession number, share class, and amendments.
Short Interest Reports Explained: How to Read FINRA Data and Spot Short Squeezes
Short interest data, published by FINRA twice monthly, measures the total number of shares sold short in a stock as a percentage of the float. The key metrics for squeeze analysis are the short interest ratio (days to cover), cost to borrow, and rate of change in short positions. Meridian tracks short interest data across 8,600+ US tickers with automated squeeze scoring to surface the highest-risk short positions.
Short Squeeze Research Guide 2026: Mechanics, Evidence, and Risks
A short squeeze is a market feedback loop, not a fixed screen. Short interest, days to cover, borrow conditions, float, liquidity, dilution, and catalysts are dated evidence with different limitations.
Congressional Stock-Trading Restrictions in 2026: Reading the Proposals
H.R. 7008 was introduced in January 2026 and reported by committee in February 2026. Reporting is not enactment; use Congress.gov for current status and avoid inferring motive or returns from delayed transaction disclosures.
Signal Confluence: Comparing Independent Public Disclosures
Signal confluence means several independently produced public records relate to the same ticker. It can help prioritize research, but source independence, provenance, and timing must be verified. Meridian's aggregate display is a ranking aid, not a return forecast or trading instruction.
Market Regime Indicators: How to Read Changing Market Conditions
Meridian summarizes current US market conditions as Green, Yellow, or Red using available volatility, equity-trend, and credit-stress inputs. The label is context for reading other signals; it does not predict returns, change the underlying data, or guarantee that a strategy will work. When too few current inputs are available, Meridian reports the regime as unavailable instead of filling gaps with old or synthetic values.
Best Unusual Whales Alternatives in 2026: Free and Paid Options Compared
Unusual Whales excels at options flow visualization and community, but costs $29-90 per month and lacks multi-source confluence scoring. Meridian aggregates 9 signal sources including dark pool, congress, insider, and crypto into a single conviction score. For free dark pool and congress data, Meridian's free tier and FINRA ATS reports are the best starting points.
Best Free Dark Pool Data Tools & Sites in 2026
Dark pool data is more accessible in 2026 than ever before, but most free sources give you raw volume numbers that require significant work to make actionable. FINRA's ATS data is fully free but comes as CSV files with no analysis. Meridian's free dark pool scanner normalizes this data into Z-scores and DPI (Dark Pool Index) readings, making it immediately useful. Paid tools like Unusual Whales, FlowAlgo, and Tradytics offer more features but cost $30–$150/month. For most retail investors, Meridian's free tier with Z-score analysis covers 90% of what you need.
Crypto Whale Tracking: On-Chain Smart Money Signals
Crypto whale tracking uses on-chain blockchain data to monitor large wallet movements, exchange inflows and outflows, open interest changes, and funding rates to understand where institutional and high-net-worth capital is flowing. Unlike traditional markets, crypto smart money signals are fully transparent on public blockchains — making on-chain analysis one of the most powerful tools available to any investor.
How to Track Institutional Buying: 13F Filings, Dark Pool Data, and Beyond
Institutional buying can be tracked through three primary channels: SEC 13F filings (quarterly, 45-day delay), FINRA dark pool ATS data (daily, statistical anomalies), and Form 4 insider disclosures (within 2 business days). Meridian aggregates all three into a single conviction score, allowing you to surface tickers where multiple institutional sources converge.
Dark Pool Activity: Tracking Institutional Footprints in Hidden Markets
Dark pools — private trading venues used by institutional investors to execute large block trades without moving the market — account for approximately 15% of all U.S. equity volume. Tracking unusual dark pool activity alongside options flow direction surfaces where large institutional blocks are trading before that interest becomes visible in public prices. It is a monitoring signal for where sophisticated capital is concentrating, not a guarantee of future returns.
Free Dark Pool Data: Where to Find It and How to Use It in 2026
The best free dark pool data sources in 2026 are FINRA's ATS Transparency Data (weekly aggregate volume), SEC EDGAR block trade filings, and Meridian's free tier which adds Z-score anomaly detection to raw FINRA data. Dark pools account for approximately 40% of all U.S. equity volume according to FINRA 2025 data. Raw volume data is free but requires statistical context to be useful; Z-scores identify which prints are actually anomalous.
Dark Pool Trading Explained: How to Access Free Dark Pool Data in 2026
Dark pools are private trading venues where institutional investors execute large orders without revealing their intentions to the public market. They handle approximately 38-42% of all U.S. equity volume — meaning that nearly half of all stock trading happens off-exchange, invisible to most retail traders. FINRA requires dark pools to report trades after execution, creating a delayed but valuable dataset. Free tools like FINRA's ATS Transparency Data, Meridian, and Chartex allow retail investors to analyze dark pool activity and identify patterns of institutional accumulation or distribution. When combined with other smart money signals, dark pool data becomes one of the most powerful tools for understanding where big money is actually flowing.
ETF Flow Rotation Strategy: Following Institutional Money Across Sectors
ETF fund flows represent real money in motion — investors voting with their capital rather than their opinions. Unlike sentiment surveys or price momentum, flow data tracks actual position changes: money flowing into sector ETFs reveals shifting institutional allocation, money flowing out reveals distribution. Three distinct paradigms emerge from the research: research on US active fund flows has framed them as momentum signals (follow the trend), research on European ETF flows has framed them as contrarian signals (fade the crowd), and extreme cross-asset flows (>2 standard deviations) are worth flagging as potential regime-change signals to investigate further. This guide explains all three and shows how to implement an ETF rotation strategy with free data sources.
Congress Members Loaded Up on Defense and Oil — Before the Iran Strikes
In late December 2025 and early January 2026, multiple US Senators purchased significant positions in defense contractors and oil companies — months before the US-Israel strikes on Iran sent Brent crude surging 13% and defense stocks to 52-week highs. Senator Markwayne Mullin (R-OK), a member of the Armed Services Committee, bought $15K-$50K each of RTX, CVX, and COP on December 29. Senator John Boozman (R-AR) added XOM on January 8. All positions are now up 14-27%. These trades were legally disclosed in public SEC filings under the STOCK Act — meaning any investor could have followed the signal.
Meridian vs Quiver Quantitative vs Capitol Trades vs Unusual Whales: Best Congress Trading Tracker in 2026
The best congress trading tracker depends on what you need. For multi-signal intelligence that puts congressional trades in context, Meridian wins. For the cleanest congress-only interface, Capitol Trades is hard to beat. For options flow layered with political data, Unusual Whales leads. For government data depth and backtesting, Quiver Quantitative is the serious researcher's pick. All four have a legitimate claim to being the best — in different hands.
Warren Buffett Portfolio 2026: What Berkshire Hathaway Is Buying and Selling
Warren Buffett's Berkshire Hathaway manages over $300 billion in publicly disclosed equity positions, filed quarterly via 13F reports. As of the most recent disclosures, Berkshire's top holdings remain concentrated in financial services, consumer staples, and technology — with Apple representing the largest single position despite significant trimming in 2024. Meridian tracks 37 institutional funds including Berkshire Hathaway, with new position alerts and conviction score analysis.
Best Free Stock Screeners in 2026: From Basic Filters to Smart Money Signals
The best free stock screeners in 2026 depend on your strategy. For fundamental and technical filtering, Finviz and TradingView offer the most capable free tiers. For smart money signals — dark pool activity, insider buying, and congressional trades — Meridian is the only platform that filters by what institutional investors are actually doing, with a free tier covering dark pool and congress data across 8,600+ tickers.
ETF Flow Data: How to Track Fund Flows and What They Tell You (2026 Guide)
ETF flow data tracks the net creation and redemption of ETF shares, revealing how institutional and retail investors are repositioning across sectors and strategies in real time. When combined with price action and other smart money signals, ETF flows provide a leading indicator for sector rotation and risk sentiment shifts. Meridian tracks 21 active ETFs across 3 providers — including ARK, Amplify, and Roundhill — with daily flow analysis.
Congress Stock Trades in 2026: Who's Buying What
Congressional members are required to disclose stock trades within 45 days under the STOCK Act. Older academic studies documented above-market returns in congressional portfolios before the Act, though later research covering 2012–2020 found no such edge once disclosure was mandatory. In 2026, technology infrastructure, defense, and AI supply chain stocks are prominent in lawmaker portfolios.
DeFi Goes Institutional: Smart Money's Quiet Migration On-Chain
Institutional adoption of DeFi is no longer a future possibility — it's a present reality. BlackRock's BUIDL fund, JPMorgan's on-chain repo experiments, and the rapid growth of Real World Asset (RWA) tokenization are bringing trillions in traditional institutional capital on-chain. Understanding what smart money signals look like in this new DeFi-native institutional landscape is essential for 2026 and beyond.
Following the Giants: A Guide to 13F Institutional Tracking
SEC Form 13F filings reveal the U.S. equity holdings of the world's most sophisticated institutional investors within 45 days of each quarter-end. Academic research on fund managers' highest-conviction 'Best Ideas' — most prominently Cohen, Polk & Silli's working paper — finds these concentrated positions have historically outperformed the funds' own benchmarks, which is why filtering 13F data for conviction rather than tracking every holding matters.
Nancy Pelosi Stock Trades 2026: Complete Tracker and Performance Analysis
Nancy Pelosi's congressional stock trades, primarily executed by her husband Paul Pelosi, have consistently attracted attention due to their timing relative to legislation. STOCK Act filings show a portfolio estimated at over $50 million with notable positions in technology and semiconductors. Meridian tracks all Pelosi disclosures in real-time alongside other congressional members, cross-referencing against dark pool and insider signals.
All articles cite primary academic sources. Content is educational, not investment advice.