Portvara

Discipline,
engineered.

Your AI financial advisor. Built around your real portfolio.

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Not a chatbot. Your AI financial advisor.

An AI financial advisor that compounds
your winners —
and refuses to fund your worst ideas.

Portvara is your AI financial advisor — a disciplined decision engine for serious investors. Every idea is sized, gated, and stress-tested against your real portfolio — so winners get scaled correctly and the trades that quietly erode capital never get funded.

Built around your real holdings, risk budget, and watchlist — not a generic profile.
This is what an actual answer looks like
portvara · sample recommendation
live
Ticker
NVDA
Sector — Semiconductors
Company Confidence
8.2 / 10
Trade Actionability
6.8 / 10
Entry quality
STARTER ONLY
acceptable but imperfect
Suggested size
4%
of advisor allocation
Stop level
-12%
from entry
Risk to stop
0.48%
of total portfolio
Verdict
BUY STARTER ONLY
Passed 7/7 gates
Why not cash: catalyst is near-term and the setup is cleaner than your current watchlist alternatives. What would change this view: if next earnings miss guidance, downgrade to HOLD.
Generated in 0.9s · Decision is yours.

Two independent scores. A specific size. A stop level tied to your max affordable loss. One clear verdict. No hedging.

Founder's live holdings — visible to every memberSee full transparency →
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Why it works

Most portfolios don't fail from missing the next big winner.
They fail from three avoidable trades a year.

Over-concentration. Averaging down on broken theses. Chasing pullbacks disguised as conviction. Portvara is engineered to catch all three before the order ticket — and to size your real winners large enough to matter.

The architecture

What happens before you get an answer.

Every response is the output of a structured pipeline — not a single LLM call.

01
Market regime is classified first

Risk-on or risk-off is detected before the engine answers — and its posture, sizing, and verdict strictness adjust accordingly.

02
Two independent models score the idea

Company Confidence (5 weighted business-quality criteria) and Trade Actionability (5 weighted timing criteria) run separately. A 9.0 company can still be a 5.5 buy right now.

03
Ranked against 7 real alternatives

Every candidate is compared against cash, your best existing winner, your top watchlist name, and a diversifier. Only ideas that win the comparison get a BUY.

The position size you see isn't an estimate — it's derived. Dollar risk equals your max affordable loss × your allowed risk share, divided by the percent downside to stop. The 4% on the card above is math against your real loss budget.

01 · The edge

A real verdict, a real size, a real stop.

Same question into a generic chat box gets you a paragraph of hedging. Into Portvara it gets a sized, gated, executable answer.

Generic AI
chat wrapper
You
Should I buy NVDA right now?
Generic AI
NVDA has been a strong performer in the AI cycle. You might want to consider your overall portfolio diversification and time horizon. Past performance is not indicative of future results. Consider speaking with a financial advisor.
  • No memory of your portfolio
  • No idea what you can afford to lose
  • No sector concentration check
  • Hedges. Will never say no.
  • Same answer it gives everyone
Portvara
AI advisor
You
Should I buy NVDA right now?
Portvara AI
WAIT — GOOD THESIS, BAD ENTRY.
Company Confidence 8.2/10. Trade Actionability 5.4/10. Your semis cluster is already 31% — within 9pts of your 40% cap. Cash currently beats this entry on risk-adjusted basis. I'll re-evaluate if NVDA pulls back 12% or breaks above $X with volume.
  • Knows your 17-point investor profile
  • Checks your maximum affordable loss
  • Runs 7-gate pre-buy check
  • Forced verdict — no hedging
  • Compares against cash + your watchlist
02 · How the AI advisor works

Five engines. One disciplined output.

Every recommendation your AI advisor delivers has to survive all of them before it reaches you.

20,000+
lines of decision logic
114
source files orchestrated
10
specialised AI engines
28
hard pre-buy gates
17
onboarding signals
Why it's this deep

Most "AI advisors" are a single prompt wrapped around ChatGPT. Portvara is a full decision system — a market-scan engine that pulls live technical data before every analysis, a portfolio-build engine that proposes sized tranches against your real risk budget, a daily-brief engine that rates every holding overnight, an invest-bot engine that runs a 10-step decision pipeline on every question, a watchlist-enrichment engine that scores every candidate on quality and timing, plus opportunity, ticker-lookup, debrief and stock-price services. Ten engines. Twenty-eight hard gates. Seventeen user signals. Two scoring models (Company Confidence and Trade Actionability) trained on different features. It's deep because cutting any layer turns it back into a chatbot.

Step 1
The AI learns your full financial situation first
17-question onboarding builds a personal risk budget, position-sizing rules, and cluster caps before the AI answers anything.
GoalsMax affordable lossHoldingsSector exposureRestrictionsEmotional risk
Step 2
Every decision runs through a multi-layer institutional pipeline
No single LLM call decides anything. Each idea is pushed through a 10-step decision engine, a 7-gate pre-buy check, a 4-pillar quality model (business, financials, valuation, catalyst), a risk-budget solver that re-prices the trade against your max affordable loss, a cluster-concentration check that caps any theme at 40%, and a cash-compare layer that benchmarks the trade against simply holding T-bills. Twenty-eight discrete checks run on every analysis. If any hard gate fails, the verdict is NO BUY — no matter how compelling the thesis. The output is the same calibre of process used by institutional risk desks, applied to a retail portfolio.
10-step engine7 pre-buy gates4-pillar quality modelRisk-budget solverCluster cap (40%)Cash-yield compare28 total checks
Step 3
It reads the live market, not a memory of it
Real-time technical data is fetched from Yahoo Finance before every build and analysis — 50-day moving average, 200-day moving average, 52-week range position, and volume vs. average. Every sector ETF is graded right now. A stock below its 200-day MA cannot score above TA 5.5 and is rejected by the hard gate. The regime label — Risk-on, Defensive, Rotation, High-vol — is set from actual chart data, not AI opinion.
Live 50/200dMA52wk range positionVolume ratioHard TA gateReal regime
Step 4
Scores what you own and what you're considering — separately
Company Confidence (quality) and Trade Actionability (timing) are two different scores. A 9.0 company can still be a 5.5 actionable buy. Most tools blur the two.
Company ConfidenceTrade ActionabilityTwo weighted models
Step 5
Position sizing and tranche deployment, calculated for you
Every approved trade comes with a starter size, a full size, a scale-in trigger, a stop-loss, a price target, and a reward-to-risk ratio — all derived from your risk budget, not a generic 'buy some' suggestion. Cash is deployed in 2–3 tranches tied to specific catalysts or regime shifts, so you're never fully exposed before a confirmation prints. The AI advisor then tracks each tranche and tells you exactly when to add.
Starter & full sizeScale-in triggersStop & targetReward:riskTranche schedule
Always on
A daily briefing that knows what you own
Every morning, an AI-generated intelligence brief hits your inbox — market regime, one-line update per position, earnings alerts, near-entry watchlist signals when a Tier A name is approaching your entry zone, Tranche 2 deployment alerts when conditions are met, and the single most important thing to do with your portfolio today. Every section is generated specifically against your holdings, your clusters, and your entry prices. Nothing generic.
Market regimeNear-entry alertsTranche triggersPer-position P&LFully personalized
03 · The intelligence

It reasons through your position, not just your question.

The user asks: "NVDA just dropped 18% — should I double my position to average down?"
Your AI advisor replies in plain English — with the math, the rule it broke, and a sized alternative.

  • Checks if this is a reaction to price, not thesis
  • Flags cluster concentration vs. your risk profile
  • Offers a smaller, risk-fit sizing instead
portvara · invest botNO BUY
You
NVDA just dropped 18% — should I double my position to average down?
Portvara AI
NO BUY AT THIS SIZE — EMOTIONAL RESPONSE DETECTED.
You are reacting to price action, not a changed thesis. Doubling here would push your semiconductor cluster past the 40% cap for your Aggressive risk profile. Based on your max affordable loss, a further 12% drawdown would trigger a defensive review — and you'd be holding twice as much.

I can evaluate a 3–5% add only if the thesis fundamentally improved, not because the price dropped. Want me to run the thesis check first?
Confidence: high · Decision is yours.
04 · The onboarding

17 data points before the AI says a single word.

Most tools ask three generic questions. Portvara builds a complete picture of your situation first, so every answer afterwards is shaped by it.

Full name
Region
Currency
Experience level
Total capital
Capital under advisor
Max affordable loss
Time horizon
Risk score 1–10
Return expectation
Current holdings
Sector exposure
Cash allocation
Restrictions
Investing style
Drawdown response
Goals
05 · Transparency

The founder uses this AI advisor on their own real money. The results are public.

Holdings, entry dates, and allocation percentages — visible to every member. No dollar amounts. No copy-trading. Just proof-of-work that the AI advisor is being used on actual capital, in public, in real time.

Approach
Live, public
Holdings
—
Top position
—
Auditing
Unaudited

Founder portfolio is shown for transparency only — not a recommendation, not a guarantee, not something to copy. Returns shown as percentages, never dollar amounts.

FAQ

Things serious investors actually ask.

How does this actually help me make money?
Two ways. It compounds your winners by sizing positions correctly — a 4% starter that scales to 8% on thesis confirmation captures upside most retail investors leave on the table. And it protects capital by killing the trades that quietly erode portfolios: chasing pullbacks, over-concentrating in one cluster, averaging down on broken theses. Avoiding three bad trades a year is often worth more than picking one extra winner.
What does the system actually do that I can't do in a spreadsheet?
It runs every idea through 7 simultaneous gates — concentration, drawdown budget, sector cap, thesis quality, catalyst timing, entry quality, and watchlist tier — against your live portfolio in seconds. Then it returns a verdict (BUY / STARTER / HOLD / TRIM / NO BUY), a position size, a stop level, and risk-to-stop as a percentage of total capital. A spreadsheet can't enforce discipline at the moment you're about to break it.
What makes this different from a generic AI assistant?
It knows you. Your 17-input profile, your current allocation, your sector exposure, your watchlist tiers, and your past mistakes are loaded into every answer. Same question from a Conservative user and an Aggressive user produces different verdicts, different sizes, different stops.
Can it actually tell me not to buy something I'm excited about?
Yes — and it does. Example the AI advisor flagged recently: a user asked to add to NVDA on an 18% pullback. The verdict came back NO BUY because it pushed their semiconductor cluster past the 40% cap and the trigger was price action, not a thesis update. It then offered a thesis-check workflow instead of a sized alternative. That's the kind of save that pays for the product several times over.
How do I know the AI advisor actually works?
The founder portfolio is run on the same system, in public, with real position sizes, real stops, and a published mistake log. Every verdict the AI advisor issues is timestamped and stored, and outcomes are classified (thesis / sizing / timing / discipline). You can audit any past call against what actually happened — no curated track record, no cherry-picking.
Do I need to be an experienced investor to use this?
No. You need to be willing to answer 17 honest questions about goals, time horizon, loss tolerance, and existing holdings. The AI advisor adapts sizing, sector caps, and verdict strictness to your profile, so a beginner gets tighter guardrails and an experienced operator gets more rope — both inside a system that won't let them blow up.

Your AI financial advisor knows your portfolio.
Every answer reflects it.

Complete the profile and your AI financial advisor knows your situation before you ask a single question.

Encrypted No copy-trading AI-augmented
Portvara Premium only

Live Market Insights from the pros

Our bot monitors a curated set of professional Discord channels — analysts, traders, and institutional voices — in real time. The moment they drop a call, thesis, or stock pick, our AI parses it, scores it, and pushes it straight to your sidebar.

Real-time monitoring

Listens 24/7 across vetted pro channels. New picks surface within seconds of being posted.

AI-parsed & scored

Each message is extracted into ticker, direction, entry, thesis — and ranked by source confidence.

Sidebar notifications

Premium users see live alerts in the app sidebar. No scrolling Discord. No FOMO.

Included with Premium (£30/mo)

Pricing

Start at £10 your first month

Then £15/month for Starter. Pro is £20/month. Cancel anytime — no lock-in, no surprises.

Portvara Basic

£20/month

Your AI advisor, daily.

  • 3 AI advisor chats per day
  • Personalised dashboard
  • Watchlist with tier scoring
  • Daily market brief
  • Risk profile
  • Cancel anytime
Most popular

Portvara Premium

£30/month

Everything Portvara does.

  • Unlimited AI advisor chats
  • Everything in Basic
  • Pre-market & post-market briefs
  • Find Opportunities scanner
  • Portvara Team Portfolio access
  • Priority support
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