The Investment Knowledge Graph
for Fund Managers

InFinder structures market intelligence into an interconnected graph of content signals, investment theses, and ticker positions — with typed relationships, cascade detection, and full audit trails.

41 Content Sources 283000 Long Positions 38244 Scenarios 87147 Tickers 276085 Impulses 1621817 Graph Edges
Live Feed

Recently Excited Scenarios

Investment theses moved in the last weeks by breaking or high-impact market signals — and the impulses that excited them.

View by impulse → ticker
Thematic Oct 12, 2026 · 22:56

South Korea's KOSPI plunges 7.2% to 5,923.37 — its lowest since July — as the semiconductor sector bears the brunt of Chinese …

Macro Oct 12, 2026 · 22:56

Middle East risks keep traders on edge, supporting higher Brent and WTI prices. This systemic oil price uplift directly benefits NOG as …

Industry Oct 12, 2026 · 22:56

High financing costs and stretched valuations fuel investor doubts over AI infrastructure spending returns after the S&P 500's 120% rally, with Broadcom …

Thematic Oct 12, 2026 · 22:56

Technology stocks across Asia-Pacific fall sharply as concerns over Chinese semiconductor competition and AI investment returns trigger a broad selloff in chipmakers …

Thematic Oct 12, 2026 · 22:56

Samsung and SK Hynix face intensifying competition from Chinese rival ChangXin Memory Technologies (CXMT), which achieved breakthrough on 4F² DRAM technology and …

Macro Oct 12, 2026 · 22:45

Foreign investors sold $1.6 billion of Korean shares in a single session, with the KOSPI plunging nearly 7%, reflecting broad risk-off sentiment …

Thematic Oct 12, 2026 · 22:45

CXMT's 5th-gen DRAM platform achieving mass production at ~12nm with 50% more dies per wafer positions it as a credible cost-competitive threat …

Macro Oct 12, 2026 · 22:35

Higher energy-driven inflation could force policymakers to raise rates, worsening debt burdens for nations with high sovereign debt and short-term refinancing needs, …

Thematic Oct 12, 2026 · 22:35

If AI infrastructure spending slows as hyperscalers fail to see ROI, semiconductor and cloud infrastructure stocks will selloff together, dragging down index-heavy …

Thematic Oct 12, 2026 · 22:35

Market rotation away from leading-edge AI enablers toward legacy and commodity semiconductor supply chain segments following rapid agentic AI adoption, creating near-term …

Macro Oct 12, 2026 · 22:05

Global tech stocks fall as investors question AI investment returns, with Broadcom CEO likening AI buying frenzy to gambling and warning the …

Thematic Oct 12, 2026 · 22:05

Asian semiconductor stocks (SK hynix, Samsung, Kioxia, Tokyo Electron, Advantest, TSMC) fall as China's CXMT advances memory technology, threatening market share and …

Macro Oct 12, 2026 · 22:01

State Street acknowledges missing the AI trade's tail — capex transformation means rate cuts are delayed, supporting higher-for-longer rate thesis

Thematic Oct 12, 2026 · 22:01

With corporate credit spreads at historical tightness and the risk/reward unfavorable, the next phase involves spread normalization. As spreads widen from current …

Macro Oct 12, 2026 · 21:45

As US export controls tighten, China responds with aggressive domestic semiconductor investment and retaliatory measures, accelerating the full technology decoupling. This creates …

Industry Oct 12, 2026 · 21:45

GPU shipments to China fell 26% while non-GPU AI accelerators rose ~80%, as US export bans on cutting-edge chips drive adoption of …

Thematic Oct 12, 2026 · 21:45

AMD's $4.9B acquisition of ZT Systems creates integrated AI infrastructure capabilities, enabling rack-scale server deployments for hyperscale cloud providers and closing the …

Single-name Oct 12, 2026 · 21:45

Nvidia's launch of the BioNeMo Agent Toolkit deepens its software ecosystem in the biomedical space, increasing customer reliance on its accelerated computing …

Single-name Oct 12, 2026 · 21:28

Coca-Cola Consolidated (COKE) faces downside as margin pressures from higher aluminum and fuel costs make its cash flow yield unattractive despite strong …

Macro Oct 12, 2026 · 20:04

Geopolitical supply risks from the Middle East could spike oil prices, but if accompanied by risk-off flight to USD or growth concerns, …

Single-name Oct 12, 2026 · 19:00

AMD maintains data center leadership through 2027 as projected, then navigates the transition from agentic AI infrastructure buildout to mainstream AI deployment, …

Single-name Oct 12, 2026 · 19:00

AMD's next-generation AI accelerators (with 432GB memory) will drive significant market share gains against NVIDIA, as the 50% memory increase enables larger …

Single-name Oct 12, 2026 · 19:00

With AMD confirmed to be eating Intel's lunch and potentially gaining GPU edge over NVIDIA in 2027, the next phase targets AMD's …

Thematic Oct 12, 2026 · 18:53

Data center operators face mounting local opposition and potential moratoriums in key states (TX, OH, GA), threatening project timelines and economics as …

Macro Oct 12, 2026 · 18:33

Failed ceasefire efforts and continued attacks on energy infrastructure in Ukraine/Russia will keep global oil prices elevated, contributing to inflation pressure

Thematic Oct 12, 2026 · 18:33

Trump administration may cut intelligence sharing and Patriot missile procurement (PURL) if Ukraine continues deep strikes on Russian energy, threatening Ukraine's air …

Thematic Oct 12, 2026 · 18:33

Ukrainian strikes on Russian energy infrastructure confirmed with casualties, validating Trump's 'escalation to end' framing and increasing probability of sustained attacks on …

Thematic Oct 12, 2026 · 18:13

The heavy selling in crowded AI/long positions (down 4-9%) while power/cooling plays (VRT, GEV, ETN) barely moved indicates this is a positioning …

Thematic Oct 12, 2026 · 18:13

The selloff in Micron and AI infrastructure stocks triggered by China's CXMT DRAM progress is a positioning-driven crowding unwind, not fundamentals — …

Core Innovation

Your Investment Graph — Live

Every market pattern, investment thesis, and ticker position lives in a typed knowledge graph. This isn't a dashboard — it's a reasoning engine that exposes hidden dependencies across your entire investment universe.

41
Content Sources
38244
Scenarios
276085
Impulses
283000
Long Positions
98174
Short Positions
13085
FINAN Analyses
Fed
Dovish
AI Capex
↑
CRE
Stress
Rate
Sensitive
Tech
Rally
NVDA
Long
IYR
Short
Bond
Rally
Gold
↑
Impulse
Scenario
Ticker
Supports
Challenges
1197802 impulse→scenario 424015 scenario→ticker 283000 long 98174 short

Why a Graph Changes Everything

A knowledge graph isn't just a visualisation — it's a computational structure that enables capabilities impossible with spreadsheets or flat databases.

Fed Pivot Rates Bonds Tech REITs Duration FX Hover to explore
Cascade Detection

When "Fed Pivots Dovish" strengthens, the graph traces impact across every linked impulse, scenario, and position — instantly surfacing which theses need revisiting.

! Consumer Weakening ↓ Retail Rev. Growing ↑ Hover to explore
Contradiction Surfacing

The graph explicitly flags when scenarios contradict each other. If "Consumer Spending Weakening" and "Retail Revenue Growing" both exist, InFinder forces intellectual honesty.

AI Capex Accelerating NVDA MSFT AVGO SMCI AMZN GOOGL AMD META Hover to explore
Concentration Risk

If 80% of your positions depend on one scenario and it weakens, the graph makes hidden danger visible — showing exactly how many theses collapse at once.

Signal Strength 100% 78% 54% 35% 18% 8% Day 1 Day 3 Wk 1 Wk 2 Mo 1 Mo 3 Hover to explore
Temporal Propagation

Signal strength decays through the graph with ML-learned rates. Recent evidence weighs more — the system optimises decay from actual market outcomes.

How It All Connects

From raw content to optimised strategy — six building blocks, each feeding the next.

▶ YouTube R Reddit ⍑ RSS / News IMPULSE Raw content signal Scored & timestamped to AI
1 Content Ingestion

Impulses capture everything you follow

InFinder continuously monitors YouTube channels, Reddit threads, RSS feeds, and news wires. Each new piece of content becomes an impulse — a timestamped, scored record of raw market intelligence. No more scattered notes or lost insights.

Every impulse is automatically parsed, relevance-scored, and queued for AI extraction. The system handles transcript extraction, engagement scoring, and deduplication.

41 active sources 276085 impulses ingested
"TSLA battery costs dropping" impulse · relevance: 0.82 "EV margin expansion" impulse · relevance: 0.64 supports "China EV tariffs rising" impulse · relevance: 0.71 challenges VECTOR SPACE 1536-dim embeddings
2 Signal Linking

Impulses link directly to scenarios

AI evaluates each impulse and links it directly to the scenarios (investment theses) it supports or challenges. Every link carries a relevance score and a 1536-dimensional vector embedding for semantic matching.

Impulses automatically discover the right theses via cosine similarity. Each edge is typed — an impulse may support or challenge a scenario — building the knowledge graph without manual tagging.

276085 impulses ingested 1197802 impulse→scenario edges
"AI chip demand surge from LLM training" −1 0 +1 +0.72 LONG NVDA LONG AMD SHORT INTC 5 impulses linked · 1197802 impulse-scenario edges impulse A impulse B impulse C
3 Investment Theses

Scenarios turn signals into positions

Linked impulses excite scenarios — structured investment theses with long/short ticker positions. Each scenario has a compound state from −1 (fully bearish) to +1 (fully bullish) that shifts in real time as evidence accumulates.

As new impulses arrive and attach to their theses, the scenario state automatically recalculates via graph propagation. Every position traces back to specific content — full audit trail.

38244 active scenarios 283000 long 98174 short
AAPL Apple Inc. $198.42 +1.2% CONNECTED SCENARIOS AI chip demand Services growth China risk EODHD API EOD + Intraday + Fundamentals
4 Market Data

Tickers connect theses to real prices

Every ticker aggregates its complete intelligence picture — all connected scenarios, contributing impulses, and actual price performance. Entry prices are tracked for P&L attribution.

Real-time and end-of-day prices flow in from EODHD, along with fundamentals and news catalysts. The FINAN agent generates deep analysis covering technicals, fundamentals, and sentiment — typically in under 60 seconds.

87147 tracked tickers 424015 ticker-scenario links
STRATEGY PROMPT v3 PROMOTED "Allocate 60% to scenarios with state > 0.5, rebalance weekly. Max 8% per position. Exit when scenario state drops below −0.2 or trailing stop of 12%. Avoid concentration in any single sector above 30%." weekly rebal 8% max 30% sector Scenario signals state −1 to +1 LLM Interpreter reads prompt + signals Portfolio actions buy / sell / hold
5 Portfolio Rules

Strategies are executable prompts

Define portfolio rules in natural language. Set signal thresholds, rebalance schedules, position limits, and sector constraints. The LLM reads the strategy prompt and the current scenario signals at every rebalance point to decide: buy, sell, or hold.

Different prompt → different trades → measurable P&L delta. This is what makes the prompt itself an optimisable parameter.

PROMPT EVOLUTION TREE Base v1 v2 Branch A +2.1% Branch B +0.8% Branch C +8.1% ↑ PROMOTED EQUITY CURVE v3 v1 fork fork Sharpe 3.39 Alpha +5.7% Max DD −4.8% Forks found 40
6 The Goal

Backtesting evolves the strategy automatically

Run historical backtests against real price data. The engine detects forks — decision points where the strategy made a suboptimal choice — then analyzes root cause, branches the prompt, and re-tests the new version from the fork point forward.

If the evolved prompt outperforms, it gets promoted. The cycle repeats: backtest → detect forks → evolve prompt → branch-backtest → promote. Like gradient descent on the strategy itself.

Anti-overfitting: modifications must be timeless general principles. The LLM self-checks for temporal specificity. Full version tree with unified diffs.

Sharpe 1.90 → 3.39 Alpha −0.9% → +5.7%

From Raw Content to Investment Action

InFinder structures the full pipeline — every step automated, every decision auditable, every link traceable back to source content.

Sources
41
monitored channels
(YouTube, Reddit, RSS)
Impulses
276085
content items
ingested & scored
Links
1197802
impulse→scenario
edges by AI
Graph
1621817
typed relationships
across all entities
Scenarios
38244
investment theses
with L/S positions
Agents
13085
FINAN analyses
generated

Two Fundamental Units of Intelligence

InFinder doesn't deal in vague sentiment. It structures market knowledge into impulses and scenarios — each scored, linked, and auditable.

Impulses — Raw Market Signals

An impulse is a structured, directional signal extracted from a single piece of content — not a keyword or sentiment, but a scored, timestamped observation about a market force.

Example Impulses
I: 0.85P: 0.72"Fed Monetary Policy Pivoting Dovish"
I: 0.70P: 0.65"AI Infrastructure Capex Accelerating"
I: 0.60P: 0.40"Commercial Real Estate Stress Spreading"

Each carries a relevance score and a vector embedding. The system links it directly to the scenarios it bears on — an impulse may support or challenge a thesis, building the graph automatically.

Scenarios — Actionable Investment Theses

A scenario is an investment thesis built from multiple supporting impulses — a structured argument for why specific assets should be long or short.

Example Scenario
"AI Infrastructure Boom Benefits Hyperscalers"
Accelerating capex drives revenue growth for cloud providers and GPU makers.
MSFT NVDA AMZN ORCL
Linked to 4 impulses · Confidence: High · ML Score: 0.82

Scenarios are AI-generated or manually curated, tracked with entry prices, and scored against actual outcomes. Every scenario links back to its source impulses — creating a full audit trail from content to trade.

AI Agents That Work on Your Graph

Three specialised agents operate directly on the investment graph — augmenting human judgment, never replacing it.

FINAN Agent
13085 analyses generated

Runs a 10-node agentic analysis workflow per ticker: technical analysis, fundamental screening, news assessment, graph context, and overall synthesis.

Technical Fundamental News Graph
WEAVER Agent
26067 recommendations executed

Autonomously manages portfolio construction: proposes position changes, links impulses to scenarios, and deprecates stale theses — with human-in-the-loop approval.

Add positions Remove Link
SEEKER Agent
Coming soon

Detects unexplained ticker movements and autonomously searches for information that could explain them — surfacing new impulses the graph doesn't yet contain.

Detect gaps Search sources New impulses

From Scenarios to Strategies to Backtesting

Scenarios hold the investment thesis. Strategies turn theses into executable portfolio rules. The backtesting engine iterates on strategy versions to find the best one — automatically.

Scenario Signals

Each scenario aggregates excitation from its linked impulses into a compound state ranging −1 to +1. As new impulses arrive and attach to the thesis, the scenario state shifts in real time — giving you a continuous, auditable signal.

LLM-Driven Strategies

Define portfolio rules using natural language prompts. Set signal thresholds, rebalance schedules, position constraints, and risk limits. The strategy consults the graph state and the LLM at every decision point.

Backtesting & Evolution

Run historical backtests against real price data. The engine detects forks — moments where the strategy made a suboptimal decision — then branches the prompt, re-tests, and promotes the best-performing version.

Scenarios
feed signals
Strategy
prompt v1
Backtest
run
Detect
forks
Promote
best version
Gradient-descent loop — the engine iterates until it converges on the optimal strategy prompt

Simple, Transparent Pricing

Free drives adoption. Select unlocks strategy creation. Omni delivers full backtesting evolution.

Free

$0
Free forever
  • Read-only scenarios
  • Ticker analysis (FINAN agent)
  • InFinder-managed strategies (read-only)
  • Knowledge graph browsing
  • Community support
  • Create own strategies
  • Backtesting
  • Premium data sources
Get Started

Omni

$4,999
per year
  • Full scenario access
  • Up to 10 active strategies
  • Full backtesting with branching
  • Automatic prompt evolution
  • Premium data sources (Reuters)
  • SEEKER gap-detection agent
  • API access & data export
  • Dedicated support
Contact Us

Core Capabilities

A complete AI pipeline from raw information to investment action — every step automated, every decision auditable.

Multi-Source Monitoring

Continuously monitor YouTube channels, Reddit, RSS feeds, and manual inputs. Automated polling, transcript extraction, and engagement scoring.

Impulse Extraction

AI turns each content item into a scored, directional impulse. Relevance scoring, vector embeddings, and automatic linking straight to the scenarios it bears on.

Knowledge Graph

Typed relationships (reinforcing, contradicting, validating, invalidating) across all entities. Multi-hop reasoning and cascade detection.

Scenario Generation

AI-generated or manual investment theses. Clusters related impulses, suggests L/S positions with rationale, and tracks confidence over time.

Full Audit Trail

Every scenario links to source impulses, every impulse to source content. Compliance-grade traceability.

ML Prediction System

Learns optimal score decay rates from market outcomes. Predicts scenario performance. Source importance scoring based on impulse outcome quality.

Built for Investment Professionals

From hedge funds and RIAs to independent research analysts — InFinder augments the investment process at every level.

Fund Managers & PMs

Reduce 200+ daily sources to scored directional patterns. See concentration risk, cascade exposure, and thesis contradictions at a glance. Full compliance audit trail.

Research Analysts

Structure your research into linked impulses and scenarios. Surface counter-evidence to your thesis automatically. Track which signals persist vs decay over time.

Risk & Compliance

Every investment decision traces back through scenarios → impulses → source content. Graph-based concentration analysis. Revertible agent actions with full state logging.

Start Building Your Investment Graph

Search across 401476 nodes and 1621817 edges — or begin adding your own content sources.