01→
Strategy Brief
Describe the edge you believe exists—in plain English.
AI strategy research for independent traders
Your strategy deserves
evidence, not hope.
Turn a trading idea into explicit rules, test it against history, diagnose why it fails, and decide whether it deserves capital.
No-code researchCost-aware backtestsBlunt AI diagnosis
Strategy Lab
Research active
BACKTEST RESULTSEvidence, before conviction.
NAS100 · 1H
AI VERDICTNot ready for capital
Return does not compensate for observed drawdown.
38/100
Profit factor0.99Below threshold
Max drawdown−11.73%Risk too high
Win rate47.37%19 trades
DecisionREJECTIterate rules
THE PROBLEM
Most traders test for confirmation.
VectorAlgoAI tests for truth.
A profitable backtest is not a deployment decision. We expose weak assumptions, unrealistic fills, unstable regimes and risk that headline returns hide.
THE RESEARCH WORKFLOW
One disciplined path from
idea to capital.
Each stage answers one critical question. No black-box score. No shortcut from an idea to a live trade.
02→
Rule Blueprint
Review the precise, testable rules interpreted by AI.
03→
Backtest Results
Measure performance after costs across historical regimes.
04→
Strategy Diagnosis
Understand failure modes, fragility and what to test next.
05✓
Deployment Readiness
Decide whether the strategy deserves paper or live capital.
BUILT TO CHALLENGE YOU
A research partner that is allowed to say no.
VectorAlgoAI does not reward attractive equity curves. It tests whether results are statistically useful, operationally realistic and robust enough to justify the next experiment.
- 01 Separate signal quality from risk management
- 02 Inspect every trade, not just summary metrics
- 03 Diagnose failure by market regime
- 04 Gate capital behind explicit evidence
DEPLOYMENT READINESS
REJECT
Capital decision
38/100
✓
Rule clarityStrategy contract is testable
PASS
×
Statistical confidenceSample size is insufficient
FAIL
×
Risk-adjusted returnDrawdown exceeds return quality
FAIL
AI DIAGNOSIS
Refine the pullback confirmation rule and retest across a longer window before considering paper deployment.
THE PLATFORM
Everything needed to move
from intuition to evidence.
Natural-language strategy design
Describe indicators, price action, market structure, risk and context in your own words. AI translates the idea into a transparent, editable rule contract.
Strategy brief
“Buy NAS100 pullbacks to the 20 EMA when the 1H trend is bullish and momentum confirms…”
Interpreting rules…Evidence engine
Cost-aware backtesting, equity analysis, trade inspection and realistic risk metrics.
AI diagnosis
Find weak rules, unstable regimes and controlled experiments worth running next.
Capital gates
Move from research to paper or live capital only when predefined evidence thresholds pass.
FOUNDING BETA
Professional research discipline, without the institutional desk.
Founding members receive full Strategy Lab access at the launch price while their subscription remains continuously active. New subscriber pricing will increase as the evidence engine expands.
VectorAlgoAI Pro
€18.99/ month
- Natural-language strategy interpretation
- Exact Rule Blueprint review
- Backtesting, diagnosis and capital verdict
- Founding price retained while continuously subscribed
WHY WE ARE BUILDING THIS
Independent traders deserve institutional research discipline.
VectorAlgoAI was founded by traders and builders who believe strategy ideas should survive rigorous testing before capital is exposed.
Our goal is not to generate more signals. It is to create a universal strategy research engine that helps traders explain, validate, improve—or reject—any trading idea.
PKPraveen KumarCo-founder · Trading & StrategySMSandhya MoniCo-founder · Product & Technology
START WITH YOUR STRATEGY