InterSwift interface visualization representing AI-driven investment analysis

Intelligence that works while you don't

InterSwift continuously analyses your financial data, learns how much risk you're actually comfortable carrying, and adjusts its recommendations as your circumstances shift — optimizing your strategy without asking for your attention every day.

Built for Canadian investors who want decisions supported by evidence, not guesswork.

The Problem

Analysis paralysis is the real cost of a side hustle

  • Spreadsheets multiply faster than any usable insight ever emerges from them.
  • Market signals arrive in real time, but your work schedule and attention span don't.
  • Most robo-advisors ask three onboarding questions and call the result a risk profile — then never revisit it.

What InterSwift does differently

InterSwift ingests market and account data on an ongoing basis and converts it into specific, ranked recommendations — not raw charts you have to interpret yourself. You don't need a background in statistics to understand why a suggestion was made, because the platform explains its reasoning in plain terms.

The goal is not to predict the market perfectly. It's to reduce the number of manual decisions between you and a reasonably optimized outcome, so a side hustle in investing doesn't quietly turn into a second job.

Core Technology

Adaptive Risk Learning, explained

Adaptive Risk is a model that updates itself as new data arrives, rather than a static questionnaire completed once at sign-up.

Predictive Modelling

Statistical probability, not certainty

The system builds forward-looking estimates from historical patterns and current market conditions, expressed as ranges of probability rather than fixed predictions. This keeps expectations grounded in what the data can actually support.

Real-Time Adjustment

Recalculated as conditions change

When volatility, income, or your account balance shifts, the model recalculates its recommendations rather than waiting for a scheduled review. Adjustments are incremental, aimed at mitigation rather than dramatic repositioning.

Risk Tolerance Engine

A profile that grows with you

Your risk tolerance is inferred from behaviour over time — how you respond to drawdowns, contributions, and withdrawals — and refined continuously. It is treated as a living variable, not a label assigned on day one.

Methodology

How a recommendation actually gets made

Each step is visible to you inside the platform. Nothing here is presented as a black box.

01

Data ingestion

InterSwift pulls in market data, account activity, and any goals or constraints you've specified, refreshing this input on an ongoing basis rather than at fixed intervals.

02

Risk-weighted synthesis

The ingested data is weighted against your current risk profile to identify options that fit your tolerance, filtering out strategies that fall outside it even if they show strong theoretical returns.

03

Decision support, not autopilot

The platform presents a ranked recommendation with its reasoning attached. You approve, adjust, or decline — InterSwift supports the decision, but you remain the strategist of record.

InterSwift data analysis workspace used to review AI-generated investment recommendations
About the platform

Built to support judgment, not replace it

InterSwift was designed on the premise that most retail investors don't lack ambition — they lack the time to process the volume of data that informed decisions now require. The platform handles the ingestion and weighting; you retain final say on every recommendation it produces.

Every output includes the reasoning behind it, so you can audit a suggestion before acting on it, rather than trusting a result you can't inspect.

Use Cases

How the model behaves for different profiles

The underlying engine is the same across profiles; the weighting of risk and time horizon is not.

Conservative Growth

Typically suited to investors closer to retirement, or anyone prioritizing capital preservation over rapid growth. The model weights lower-volatility instruments more heavily and reacts cautiously to short-term market swings.

If a broad market index drops sharply in a single week, then the model holds existing positions rather than reallocating, and flags the move for your review instead of acting automatically.

Aggressive Scaling

Suited to younger investors or those with a longer time horizon and higher tolerance for drawdowns. The model allows for larger allocation shifts and factors in a wider range of probability outcomes before adjusting.

If a sustained upward trend is detected alongside supporting volume data, then the model may recommend increasing exposure incrementally, subject to your approval.

Balanced Passive Income

Common among side-hustle investors seeking steady, low-effort returns without full exposure to either extreme. The model favours diversified, income-generating positions and rebalances on a measured schedule.

If one asset class grows to represent a disproportionate share of the portfolio, then the model proposes a rebalance back toward the original target allocation.
FAQ

Practical questions, direct answers

How is my data handled and stored?

Account and market data used by InterSwift is processed to generate your recommendations and is not sold to third parties. Where Canadian data residency applies to your account, data is retained under Canadian data sovereignty requirements. Full details are available in our privacy policy.

Is there a minimum amount of capital required?

InterSwift does not itself set investment minimums; any threshold depends on the accounts and instruments you connect through it. The platform is built to be useful whether you're managing a modest side-hustle portfolio or a larger one.

Can I see how the algorithm reaches a recommendation?

Yes. Every recommendation is accompanied by the data inputs and risk weighting that produced it. This is a deliberate design choice — a decision-support tool that can't explain itself isn't one we think you should have to trust blindly.

A tool for the diligent, not the impatient

InterSwift won't promise returns it can't guarantee. What it will do is remove a substantial amount of manual analysis from your process, so the passive part of "passive income" is closer to true — while you stay in control of every decision.