Market Intelligence — Perspective

The Democratisation of Market Intelligence

Sentiment has always been human. Now, for the first time, the tools to act on it are available to everyone — a case for why the future of equity research belongs to those willing to share it openly.

The Tool That Changed Everything

In late 2025, Peter Steinberger released OpenClaw — an open-source autonomous agent that connects to your messaging apps, integrates with leading AI models, and maintains persistent memory across sessions. Not a chatbot. An execution shell that acts on your behalf, continuously, in the background. Institutions called it a security nightmare. In the open, people are building financial intelligence layers on top of it anyway. Despite near-term security concerns, in my view, proliferation into the greater financial community is only a matter of time.

The Distribution Edge

Equities research produced by banks and brokers has historically been the purview of institutional investors, gated behind closed garden portals only accessible to a select few. Open equities research is publicly available to all. With bots from both institutional and retail processing the research into their LLMs, open research will drive a disproportionately larger part of overall market sentiment. Distribution is the new edge.

Figure 2  ·  Information Flow Model Comparison

Then

Prior Flow Model

Corporate Message ( sentiment ) Sell Side Analyst ( sentiment ) Sell Side Sales Desk Buy Side Analyst ( sentiment ) Portfolio Managers Retail Investors Share Price

Now

Future Flow Model

Corporate Message ( sentiment ) Sell Side Analyst ( sentiment ) Institutional Bots Open Research ( sentiment ) Buy Side Analyst ( sentiment ) Portfolio Managers Retail Bots Retail Investors Share Price
Institutional — primary
Institutional — indirect
Bot direct channel
Retail channel
Market output
Removed node

Twenty Years, One Decision

After two decades in institutional equities, I've decided to move from the sell-side to build an open research platform. The sell-side's edge was logistical more so than anything else. They were the loudest voice to market, feeding sentiment to institutional investors who drove market flows. With the change of market drivers augmented by the democratisation of agentic AI, this is all changing.

Using tools like Claude Code and OpenClaw, I built a full autonomous agent in three weeks — persistent memory, live watchlist, accessible anywhere via Telegram. It never sleeps. Neither does the market.

Figure 1  ·  Daily Turnover Composition · % of Value

ASX Equity Turnover — Strategy & Investor Type

2013e
Historical reconstruction · HFT directly anchored; passive and retail estimated
3%
27%
1%
59%
10%
2025e
~A$9.48B weighted avg daily turnover · Full-year actual inputs, estimated five-way split
10%
25%
3%
57%
5%
2030e
Base case
Forward scenario · Broader systematic adoption and continued passive growth
15%
30%
4%
47%
4%
Scenario, not a statistical forecast. Sensitivity range: passive / index-linked 12–18%; Quant Institutional 27–33%. Institutional Non-HFT is the residual.
Passive / Index-linkedIndex-tracking ETF-unit turnover plus non-ETF index-linked underlying flow
Quant InstitutionalHFT baseline plus broader institutional systematic strategies
Quant RetailNon-passive automated and rules-based retail turnover
Institutional Non-HFTTraditional active and other non-HFT institutional flow; residual category
Fundamental RetailNon-passive discretionary retail turnover

Model note: No regulator or exchange publishes this exact five-way split. 2013e is a historical reconstruction; 2025e combines completed full-year turnover and ETF inputs with older HFT and retail proxies plus explicit assumptions; 2030e is a base-case scenario. Institutional Non-HFT is calculated as the residual.

Sources: ASIC REP 331; ASIC REP 597; ASIC 2025 quarterly equity-market data; ASIC retail investor trading study (2020); ASIC trading systems and automated trading update (2025); ASX 2025 settlement calendar; Betashares 2025 ETF data; Vanguard Australia ETF index-tracking data. Download the full estimation framework, source register and sensitivities (XLSX).

Homodeus research is designed to be consumed by the entire active market - retail as well as institution. Our ground-up, agentic-friendly platform also allows our research to be read by bots as easily as humans, unlike legacy PDF-first research platforms.

In partnership with Sharewise, Homodeus Research has a retail distribution network of over 70k retail and high-net-worth clients.

i. The Passive Evolution

In the US passive funds AUM crossed above active for the first time in 2024 — and the gap keeps widening. This trend has also been observed in Australia.

Figure 3  ·  Active vs. Passive Share of Fund Assets — Comparative

US & Australia: The Passive Migration, 2014–2025

United States

2014
30%
70%
2016
35%
65%
2018
42%
58%
2020
48%
52%
2022
50%
50%
2024
54% ←
46%
2025
56%
44%

Passive assets ($19.1T) surpassed active ($16.2T) for the first time in 2024. Active funds have seen net outflows every year since 2014.

Australia (ASX + CBOE)

2015
14%
86%
2017
18%
82%
2019
22%
78%
2021
28%
72%
2023
32%
68%
2024
35%
65%
2025
37%
63% →

Active still dominates by AUM, but passive captured 74% of all 2025 ETF flows. Total ETF industry: AUD $330.6Bn (+34% YoY). Passive had net inflows in 23 of 24 consecutive quarters.

Passive / Index
Actively Managed
Highlighted year

US sources: Morningstar Fund Flow Data (Oct 2025); ICI Investment Company Fact Book 2025; Hartford Funds (Feb 2025).[1,2,3]  ·  AU sources: Morningstar Australia Quarterly Fund Review (Dec 2025); Betashares Annual ETF Review 2025; S&P/ASX 25 Years of Indices Report (2025).[AU1,AU2,AU3]

ii. The Volatility Conundrum

As trading has progressively moved from active to passive, this has amplified market signals creating larger volatility in market moves.

Figure 4  ·  Earnings Day Price Reactions

Illustrative Average Absolute Single-Day Move on Earnings — S&P 500 Stocks, 2017–2025

Year Average absolute 1-day move at earnings (S&P 500)
2017
~3.2%
2018
~3.5%
2019
~3.3%
2020
~4.1%
2021
~3.8%
2022
~4.8%
2023
~5.2%
2024
~5.6%
2025e
~5.9%

Sources: SSRN "Earnings Announcement Volatility as a Market Advancement Indicator" (Kunehepon, 2024); S&P Dow Jones Indices US Equities Market Attributes 2025.[7,8]

iii. The Sentiment Driver - Human in the Loop

Algorithms now drive most equity volume — but the signal is still human. Management tone, analyst views, social media. With the shift from active to passive, the growth of systematic trading doesn't diminish human opinion. It amplifies it.

Figure 5  ·  Systematic & Algorithmic Trading Growth

Estimated Algorithmic Trading Market Size (USD Bn) & US Equity Volume Share

$21Bn $16Bn $11Bn $6Bn $1Bn 2015 2016 2017 2018 2019 2020 2021 2022 2024 50% 70% 90% Market size (USD Bn, L axis) US equity vol. algo share (R axis, %)

Sources: Grand View Research Algorithmic Trading Market Report 2024; QuantifiedStrategies.com (Select USA data); Allied Market Research (2024).[4,5,6]

Why Open Research Wins

AI interpretation of numbers and sentiment will all but displace human analysis, but sentiment generation at its core is still human in the loop. With the proliferation of open source agentic AI (OpenClaw), algorithmic trading (both quant and sentiment) will become mainstream tools. Not just those used by institutional investors. Open research which is made publicly available and easily accessible to bots will have a disproportionately larger impact on market sentiment vs. traditional research produced by brokers, which have only been accessible to insititutional investors.

In the age of agentic AI, widely distributed human opinion is the most powerful input to price formation. Open research feeds everyone's models. With macro indsutry trends driving ever larger market volatility having the appropriate messaging being widely disseminated is more critical than ever to ensure markets are properly capturing the value of your business.

Sources & References

  1. Morningstar. "Active vs. Passive Investing: Which Categories Are More Successful?" October 2025. morningstar.com
  2. Hartford Funds. "The Cyclical Nature of Active & Passive Investing." February 2025. hartfordfunds.com
  3. Investment Company Institute. ICI Investment Company Fact Book 2025. ici.org
  4. Grand View Research. "Algorithmic Trading Market Size, Share & Forecast 2030." 2024. grandviewresearch.com
  5. QuantifiedStrategies.com. "What Percentage of Trading Is Algorithmic?" 2024. quantifiedstrategies.com
  6. Allied Market Research. "Algorithmic Trading Market Size, Share & Forecast to 2032." 2024. alliedmarketresearch.com
  7. Kunehepon, Ebenezer. "Earnings Announcement Volatility as a Market Advancement Indicator." SSRN, June 2024. ssrn.com
  8. S&P Dow Jones Indices. "US Equities Market Attributes December 2025." January 2026. spglobal.com
  9. Institutional Investor. "OpenClaw: The AI Agent Institutional Investors Need to Understand — But Shouldn't Touch." 2026. institutionalinvestor.com
  10. JustPaid. "OpenClaw's Role in the Next Financial Era." 2026. justpaid.ai
  11. Saulius.io. "Build an AI Investment Analyst with OpenClaw." February 2026. saulius.io