Skip to main content
NasdaqCustomer feedback

Nasdaq faces criticism from algorithmic traders over high pricing for historical daily index constituent weight data, which commenters describe as costing five figures.

Source: Autobound Signal API · 120 signals tracked for Nasdaq · updated

Get Nasdaq's live signals in Claude or ChatGPT, or by API

AskWhat changed at Nasdaq this week? Use Autobound signals for nasdaq.com.

What happened

Post: "Anyone willing to share clean historical daily QQQ constituent weights?"

Source

RedditOct 16, 2026By u/ringminusthree

r/algotrading

Anyone willing to share clean historical daily QQQ constituent weights?

upvotes
15
comments
11

Post

Highlighted: the lines this signal was extracted from

Does anyone have clean, high-quality historical daily QQQ constituent weighting data covering at least the last 12 months that they'd be willing to share? I haven't found a high-quality dataset at an affordable price. Getting NDX weightings directly from Nasdaq comes with a nosebleed price tag. Thanks!

Also quoted as evidence

  • [comment u/CupLarge5014] youre looking at a 5 figure data dump from nasdaq for clean daily constituent weights man its absurd how they gatekeep this stuff

reddit.com/r/algotrading/comments/1x72cnl/anyone_willing_to_share_cle...Read the full source

Comments on the post

5 of 11 comments
  • “free anchor points: QQQ files N-PORT on SEC EDGAR, quarter-end holdings with exact share counts. take those, multiply by daily closes and renormalize, and you get daily weights that only drift from the real ones on corporate actions”

    u/Aggressive_Listen8498 points · Oct 16, 2026View

  • “youre looking at a 5 figure data dump from nasdaq for clean daily constituent weights man its absurd how they gatekeep this stuff”

    u/CupLarge50143 points · Oct 16, 2026View

  • “good clean data is almost never cheap or free. sorry man”

    u/quant-king3 points · Oct 16, 2026View

  • “Not sure if you tried it but Databento gives you $125 free credit when you sign up and their data is super cheap”

    u/LackofBinary2 points · Oct 16, 2026View

  • “massive has an indices plan at $49 dunno if QQQ is on there but they do mention Nasdaq”

    u/Exciting-World58612 points · Oct 16, 2026View

Extracted by Autobound

From the Signal API record
Signal
Customer feedback

What this signalsUser posts often show product pain before it reaches reviews or churn.

Subreddit
r/algotrading
Event date
Oct 2026

Companies

  • DatabentoAlso named
  • QuantConnectAlso named

The full record

From the Signal API record

Numbers

Mentions
1

Details

Timing
Ongoing state
Category
Pricing
Virality
Somewhat high
Post kind
Text
Prominence
Core
Company's role
Vendor

Topics and mentions

Topics

  • market data
  • financial data
  • pricing

Flair

  • Data

Products named

  • NDX weightings

Extraction

Sentiment
Negative
Detected
Oct 16, 2026
signal_type
reddit-company
signal_subtype
customerFeedback

Use this data

Get every Reddit signal for Nasdaq and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Nasdaq this week?”

  2. Send it to your own tools

    The Signal API returns Reddit signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

This page shows a preview. The full reddit-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/4becce29-6414-5fc5-a66b-df4f19dc286d returns this record as JSON. POST /v1/companies/enrich returns every signal for nasdaq.com.

{
  "signal_id": "4becce29-6414-5fc5-a66b-df4f19dc286d",
  "signal_type": "reddit-company",
  "signal_subtype": "customerFeedback",
  "detected_at": "2026-10-16T00:37:29+00:00",
  "company": {
    "name": "Nasdaq",
    "domain": "nasdaq.com"
  },
  "data": {
    "nsfw": false,
    "stage": "none",
    "awards": 0,
    "timing": "ongoing_state",
    "topics": [
      "market data",
      "pricing",
      "financial data"
    ],
    "post_id": "1x72cnl",
    "summary": "Nasdaq faces criticism from algorithmic traders over high pricing for historical daily index constituent weight data, which commenters describe as costing five figures.",
    "category": "pricing",
    "comments": [
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph1051o/",
        "depth": 0,
        "score": 8,
        "author": "Aggressive_Listen849",
        "excerpt": "free anchor points: QQQ files N-PORT on SEC EDGAR, quarter-end holdings with exact share counts. take those, multiply by daily closes and renormalize, and you get daily weights that only drift from the real ones on corporate actions",
        "posted_at": "2026-10-16T02:13:05.000Z",
        "author_url": "https://www.reddit.com/user/Aggressive_Listen849/"
      },
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph0idfp/",
        "depth": 0,
        "score": 3,
        "author": "CupLarge5014",
        "excerpt": "youre looking at a 5 figure data dump from nasdaq for clean daily constituent weights man its absurd how they gatekeep this stuff",
        "posted_at": "2026-10-16T00:40:13.000Z",
        "author_url": "https://www.reddit.com/user/CupLarge5014/"
      },
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph1716t/",
        "depth": 0,
        "score": 3,
        "author": "quant-king",
        "excerpt": "good clean data is almost never cheap or free. sorry man",
        "posted_at": "2026-10-16T02:49:56.000Z",
        "author_url": "https://www.reddit.com/user/quant-king/"
      },
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph0m5y3/",
        "depth": 0,
        "score": 2,
        "author": "LackofBinary",
        "excerpt": "Not sure if you tried it but Databento gives you $125 free credit when you sign up and their data is super cheap",
        "posted_at": "2026-10-16T01:00:05.000Z",
        "author_url": "https://www.reddit.com/user/LackofBinary/"
      },
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph1ewnv/",
        "depth": 0,
        "score": 2,
        "author": "Exciting-World5861",
        "excerpt": "massive has an indices plan at $49 dunno if QQQ is on there but they do mention Nasdaq",
        "posted_at": "2026-10-16T03:32:29.000Z",
        "author_url": "https://www.reddit.com/user/Exciting-World5861/"
      },
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph0r37t/",
        "depth": 0,
        "score": 1,
        "author": "QuanTradin",
        "excerpt": "I don't know of a clean free archive, Invesco only shows today's holdings and the old snapshots on the Wayback Machine are patchy. What worked for me was rebuilding it: the index is modified cap weighted, so shares outstanding times close gets you most of the way between rebalances, and then you hard reset at each quarterly rebalance plus the special one in July 2023.",
        "posted_at": "2026-10-16T01:25:57.000Z",
        "author_url": "https://www.reddit.com/user/QuanTradin/"
      },
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph1acc3/",
        "depth": 0,
        "score": 1,
        "author": "feedjockey",
        "excerpt": "That's why I record my own. I have microsecond timestamped verified data on whatever I want using the IBKR Gateway. Im building my own library that I own. You have to back fill previous data. My system automatically backfills allbeit at a slower rate, a wider timeframe, and as far back as IBKR goes. The difference is from the time I start recording the data is mine as long as I'm not redistributin",
        "posted_at": "2026-10-16T03:07:44.000Z",
        "author_url": "https://www.reddit.com/user/feedjockey/"
      },
      {
        "url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/comment/ph5cb5b/",
        "depth": 0,
        "score": 1,
        "author": "RhollingThunder",
        "excerpt": "QuantConnect has it for 600/yr. If you don't need it on a go forward basis, pay it once, pull what you need, and cancel.",
        "posted_at": "2026-10-16T17:26:41.000Z",
        "author_url": "https://www.reddit.com/user/RhollingThunder/"
      }
    ],
    "evidence": [
      "[post] Getting NDX weightings directly from Nasdaq comes with a nosebleed price tag.",
      "[comment u/CupLarge5014] youre looking at a 5 figure data dump from nasdaq for clean daily constituent weights man its absurd how they gatekeep this stuff"
    ],
    "virality": "somewhat_high",
    "post_date": "2026-10-16T00:37:29.000Z",
    "post_kind": "text",
    "post_text": "Does anyone have clean, high-quality historical daily QQQ constituent weighting data covering at least the last 12 months that they'd be willing to share?\n\nI haven't found a high-quality dataset at an affordable price. Getting NDX weightings directly from Nasdaq comes with a nosebleed price tag. Thanks!",
    "sentiment": "negative",
    "subreddit": "algotrading",
    "event_date": "2026-10",
    "post_flair": [
      "Data"
    ],
    "post_title": "Anyone willing to share clean historical daily QQQ constituent weights?",
    "prominence": "core",
    "source_url": "https://www.reddit.com/r/algotrading/comments/1x72cnl/anyone_willing_to_share_clean_historical_daily/",
    "entity_role": "vendor",
    "post_author": "ringminusthree",
    "upvote_ratio": 0.9411764705882353,
    "mention_count": 1,
    "mention_surge": false,
    "subreddit_url": "https://www.reddit.com/r/algotrading/",
    "total_upvotes": 15,
    "comments_total": 11,
    "total_comments": 11,
    "other_companies": [
      {
        "name": "Databento",
        "role": "alternative",
        "domain": "databento.com"
      },
      {
        "name": "QuantConnect",
        "role": "alternative",
        "domain": "quantconnect.com"
      }
    ],
    "post_author_url": "https://www.reddit.com/user/ringminusthree/",
    "signal_category": "feedback",
    "comments_included": 8,
    "products_mentioned": [
      "NDX weightings"
    ]
  }
}

Long text fields are shortened on this page.

Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.