STEP 1
Collect and validate data
Inputs carry source and freshness context; stale, malformed, or conflicting evidence is downgraded.
Transparent methodology
A Decision Process Designed to Be Audited.
Vikayo combines deterministic controls with grounded AI explanation. The system does not use AI to invent evidence, scores, or recommendations.
STEP 2
Understand the user’s portfolio
Connected holdings, cash, buying power, cost basis, concentration, and stated risk limits define the real decision context.
STEP 3
Score opportunity and risk separately
Opportunity strength and downside risk remain separate so a compelling story cannot erase risk.
STEP 4
Compare alternatives
A candidate competes with existing holdings, other verified setups, and the option to keep cash; a weak relative choice is rejected.
STEP 5
Determine action and allocation
Allowed outputs are BUY, ADD, HOLD, TRIM, SELL, or WAIT, with allocation constrained by portfolio policy.
STEP 6
Define entry, protection, and targets
An actionable plan requires current pricing, a usable entry area, position size, protection level, and targets with positive economics.
STEP 7
Monitor the lifecycle
Fresh evidence can move a position or candidate through watch, entry, hold, profit protection, exit, and qualified re-entry states.
STEP 8
Record and evaluate the outcome
Reference price, targets, protection, benchmark, favorable movement, adverse movement, and outcome use consistent rules.
Controls that can stop an action
Missing or stale evidence produces WAIT. Liquidity checks can reject an otherwise attractive candidate. Prices and targets are adjusted when validated split data requires it. Deterministic risk rules override narrative enthusiasm. When providers conflict, Vikayo prefers current, attributable evidence and exposes the conflict rather than blending it away.