Investment Decisions, Rigorously Analyzed
Markets are complex. Single-model AI gives you one perspective shaped by one training run. AskVerdict deploys bull, bear, and risk agents that debate each other — exposing every assumption before you commit capital.
The Problem
Confirmation bias kills returns
74%
Of active fund managers underperform their index over 10 years — partly due to systematic bias
1 view
What ChatGPT gives you on a stock — optimistic, narrative-driven, and not stress-tested
0 debates
How many AI tools pit a bull and a bear agent against each other before giving a recommendation
How AskVerdict Helps
Three Ways to Invest Smarter
Stock & Asset Analysis
Bull vs bear — every time
For any stock, ETF, crypto, or alternative asset: a bull agent builds the strongest possible case for buying, a bear agent builds the strongest possible case against, and a risk agent stress-tests both positions. The verdict weights each argument by evidence quality.
Long thesis stress-tested
The bull case is challenged directly — not just presented alongside vague caveats.
Bear case made explicit
A dedicated bear agent constructs the strongest possible argument against the position.
Risk-adjusted verdict
Confidence score, key assumptions, and the specific evidence that swings the verdict.
Portfolio Strategy
Debate your allocation before you rebalance
Whether you're building a new portfolio or reconsidering your current allocation, agents model diversification, factor exposure, drawdown scenarios, and concentration risk — arguing over the tradeoffs before you move capital.
Allocation modelling
Agents debate equity/bond/alternative splits across multiple market regimes.
Factor exposure analysis
Value, momentum, quality, and size factors explicitly surfaced and debated.
Concentration risk flagged
Agents identify hidden correlations and single-name concentrations you may have missed.
Major Purchases
Buy vs rent, car buying, and big capital decisions
Not every financial decision is about the market. AskVerdict handles real-world capital decisions: buy vs rent, leasing vs buying a vehicle, financing a business purchase. Agents model NPV, opportunity cost, and scenario analysis to surface the full picture.
Buy vs rent modelled
NPV comparison across holding periods, with interest rates and rent growth rates as explicit variables.
Opportunity cost surfaced
The bear agent always argues what you could do with the capital instead — and quantifies it.
Scenario analysis
Base case, optimistic, and pessimistic scenarios each modelled and compared side by side.
Example Debate
See It In Action
A real investment debate — bull, bear, and risk agents, then a calibrated verdict.
Sample debate question
"Should I add NVDA to my portfolio at current valuation?"
Bull Agent
NVDA holds 85%+ of the AI training GPU market. Data centre revenue grew 409% YoY. CUDA moat creates switching costs that AMD and Intel cannot overcome in under 5 years. At 35× forward earnings this is expensive but justifiable for a platform-level monopoly.
Bear Agent
35× forward P/E prices in flawless execution for 3+ years. Hyperscalers are developing custom silicon (TPU, Trainium, Maia) that will erode NVDA's margins by 2026. Export restrictions on H100/H800 remove a significant revenue stream without a clear replacement timeline.
Risk Agent
Concentration risk: NVDA is already 6% of SPY. Adding a direct position creates effective 10%+ allocation to a single name. Consider options strategy for asymmetric upside with defined downside rather than outright equity.
Verdict summary
Lean bullish but position-size conservatively. Limit direct NVDA to 3–4% of portfolio given existing index exposure. The CUDA moat is real; the valuation risk is equally real. Consider a staged entry over 3 months to reduce timing risk. Confidence: 61%.
Not financial advice. AskVerdict surfaces structured reasoning — the decision is always yours.
Commit capital with full conviction
Free to start. No credit card required.