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.

53 Content Sources 83046 Long Positions 39375 Scenarios 82917 Tickers 192715 Impulses 1061952 Graph Edges
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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
Single-name Jul 14, 2026 · 03:58

The Nasdaq 100 is coiling in a tight symmetrical triangle pattern, making it primed for a sharp directional breakout driven by the …

Macro Jul 14, 2026 · 03:58

Rising oil prices from the Strait of Hormuz closure reignite inflation fears, pushing markets to reprice the likelihood of a December Fed …

Thematic Jul 14, 2026 · 03:57

Crude tanker companies with high exposure to Middle East routes will face operational paralysis as insurers stop writing cover and traffic drops …

Thematic Jul 14, 2026 · 03:57

Oil and gas producers outside the Middle East will capture outsized margins as global crude prices surge while they avoid the direct …

Thematic Jul 14, 2026 · 03:57

Surging energy and feedstock costs from the Hormuz toll will severely compress margins for energy-intensive sectors like fertilizer, chemicals, and plastics, which …

Macro Jul 14, 2026 · 03:57

The new energy toll acts as a broad tax on global energy, driving up costs for diesel, fertilizer, plastics, and electricity, which …

Single-name Jul 14, 2026 · 03:56

Higher factory utilization, AirTech restructuring, and increased production capacity will drive capital-efficient earnings growth and margin expansion without proportionate CapEx increases.

Single-name Jul 14, 2026 · 03:56

The Data Center Technologies (DCT) segment is poised to become the largest segment, reflecting strong underlying demand for data center cooling that …

Single-name Jul 14, 2026 · 03:56

A potential divestment of the FoodTech segment could unlock $180-370M for M&A and sharpen strategic focus on higher-growth areas, driving a re-rating.

Single-name Jul 14, 2026 · 03:56

The Molex business acquisition is successfully augmenting HMS Networks' top-line growth, contributing to an 18% total net sales increase and a 20% …

Single-name Jul 14, 2026 · 03:56

HMS Networks is experiencing strong underlying demand, evidenced by 15% organic order intake growth and 12% organic net sales growth, with Q2 …

Single-name Jul 14, 2026 · 03:56

HMS Networks achieved significant operational leverage in Q2 2026, with EBITDA growing 59% YoY to SEK 266 million and margins exceeding company …

Macro Jul 14, 2026 · 03:46

US Treasury yields, particularly the 2-year note, will remain elevated as money markets price in a higher-for-longer interest rate scenario with tightening …

Macro Jul 14, 2026 · 03:46

Renewed U.S.-Iran tensions are driving oil prices higher, creating a macro tailwind for energy commodities and headwinds for broad equities. Renewed geopolitical …

Macro Jul 14, 2026 · 03:46

De-anchored inflation expectations ahead of the June CPI release and Fed Chair testimony are likely to keep US rate expectations elevated, supporting …

Macro Jul 14, 2026 · 03:46

Surging oil prices driven by geopolitical tensions are crushing Japan's terms of trade, pushing USD/JPY toward fresh multi-decade highs as the Yen …

Macro Jul 14, 2026 · 03:46

The substantial 275 bps interest rate gap between the Bank of England (3.75%) and the Bank of Japan (1%), combined with fading …

Macro Jul 14, 2026 · 03:46

Upcoming US core CPI data takes on heightened importance as an upside surprise will explicitly trigger further Fed rate hike pricing, given …

Macro Jul 14, 2026 · 03:46

Canada's wider-than-expected trade surplus and higher oil prices provide fundamental support to the Canadian Dollar, limiting its downside against the USD despite …

Macro Jul 14, 2026 · 03:46

EUR/CHF is challenging ascending triangle resistance above its 200-DMA, indicating potential for further Euro appreciation and Swiss Franc weakness toward the 0.9320-0.9400 …

Macro Jul 14, 2026 · 03:46

The USD/CHF pair is extending its rally towards 0.8125, driven by broad US Dollar strength and risk-off flows, despite overbought technical indicators …

Macro Jul 14, 2026 · 03:46

Surging oil prices driven by geopolitical conflict reignite inflation fears, forcing central banks to abandon monetary accommodation and driving weak results in …

Thematic Jul 14, 2026 · 03:46

High-stakes quarterly reports from major Wall Street lenders will act as a defining catalyst for the financial sector's near-term direction.

Thematic Jul 14, 2026 · 03:46

The convergence of Middle East conflicts disrupting oil shipments, regional instability affecting production, and geopolitical tensions creating risk premiums positions oil to …

Thematic Jul 14, 2026 · 03:46

Massive AI investments driving semiconductor stocks higher may be approaching a bubble peak, creating downside risk akin to the 2000-2002 dot-com bust …

Macro Jul 14, 2026 · 03:46

The fragile US-Iran ceasefire and renewed military strikes in July are causing crude oil prices to edge higher again, threatening the sustainability …

Thematic Jul 14, 2026 · 03:46

Strong demand for AI infrastructure will sustain upward pressure on prices for technology products and electricity, benefiting providers in these supply chains. …

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.

53
Content Sources
39375
Scenarios
192715
Impulses
83046
Long Positions
20908
Short Positions
10216
FINAN Analyses
Fed
Dovish
AI Capex
CRE
Stress
Rate
Sensitive
Tech
Rally
NVDA
Long
IYR
Short
Bond
Rally
Gold
Impulse
Scenario
Ticker
Supports
Challenges
947177 impulse→scenario 114775 scenario→ticker 83046 long 20908 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.

53 active sources 192715 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.

192715 impulses ingested 947177 impulse→scenario edges
"AI chip demand surge from LLM training" −1 0 +1 +0.72 LONG NVDA LONG AMD SHORT INTC 5 impulses linked · 947177 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.

39375 active scenarios 83046 long 20908 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.

82917 tracked tickers 114775 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
53
monitored channels
(YouTube, Reddit, RSS)
Impulses
192715
content items
ingested & scored
Links
947177
impulse→scenario
edges by AI
Graph
1061952
typed relationships
across all entities
Scenarios
39375
investment theses
with L/S positions
Agents
10216
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
10216 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
21459 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 315007 nodes and 1061952 edges — or begin adding your own content sources.