Karsten Wenzlaff, Advisor
August 26th, 2025
August 31, 2026 | NCFA Market Activity + Insight | Banking And Credit, Competition And Market Structure, SME Finance And Business Banking, Consumer Finance And Lending

On August 31, 2026, Laurentian Bank confirmed the final key regulatory approvals for Fairstone Bank to acquire Laurentian and for National Bank to take its retail and SME banking portfolios. The parties expect to close on November 1, 2026, with Laurentian retail and SME products and services scheduled to migrate to National Bank by late 2026.
National Bank gets deposits, borrowers and customer relationships it can run on a much larger banking platform, while Fairstone gets Laurentian's commercial bank and lending capabilities that would take years to build. Canada loses a long standing independent full service bank, but the transaction also gives a growing specialty lender more commercial depth while strengthening National Bank's customer base.
Laurentian reached this point after a difficult 2023 and 2024, followed by a partial recovery in 2025. A strategic review ended without a sale, a major technology outage was followed by leadership changes, restructuring costs climbed and loan volumes weakened. Commercial lending was growing again by 2025, which helps explain why Fairstone wanted the commercial bank while National Bank wanted the retail and SME portfolios.
Fairstone Bank will acquire all outstanding Laurentian common shares for C$40.50 each, valuing the transaction at approximately C$1.9 billion in cash. National Bank will take Laurentian's retail and SME portfolios, which held approximately C$3.6 billion of loans and C$7.5 billion of deposits at July 31, 2026. Final cash consideration for those portfolios will depend on balances at closing, and Laurentian has said the transaction would approximate net book value using earlier reference balances.
National Bank also acquired Laurentian's C$705.7 million syndicated loan portfolio for C$646.2 million in February plus certain assumed liabilities. The Minister of Finance, OSFI, CIRO and relevant securities regulators have approved the transactions, while the Competition Act condition has been satisfied subject to no change in circumstances involving the Competition Bureau.
Closing remains targeted for November 1. Laurentian retail and SME customers are expected to migrate to National Bank by late 2026, while Laurentian's retail branches and employees do not transfer with the portfolios. Laurentian is responsible for closing the branches and terminating or reassigning affected employees before closing.
Laurentian's board launched a strategic review in July 2023 that considered a sale, divestitures and other options. By September it had decided to remain independent and focus on efficiency, simpler operations and businesses where management believed the bank could compete.
Weeks later, a planned IT maintenance update led to a mainframe outage that disrupted customer services. Éric Provost replaced Rania Llewellyn as CEO on October 2, while Michael Boychuk became board chair. The outage did not determine Laurentian's future on its own, but it exposed an operational weakness at a bank already trying to modernize and regain customer confidence.
The cleanup was expensive. Laurentian cut staff, closed its equity research business, reduced office space, suspended its Advanced Internal Ratings Based credit project and simplified technology and operations. It recorded C$228.4 million in impairment and restructuring charges in fiscal 2024 and reported a C$5.5 million annual net loss, compared with C$181.1 million of profit the previous year.
Total net loans fell by C$1.8 billion in 2024, including declines in commercial, personal and residential mortgage lending. Laurentian cited high interest rates, weaker loan demand, volatile markets and changes in its lending mix. Its disclosures do not establish Canada's later immigration, temporary resident or international student policy changes as a material cause of mortgage volumes, deposits, credit performance or the eventual transaction.
Commercial lending then recovered. By October 2025, commercial loans had grown 8% from a year earlier to C$17.9 billion, led by commercial real estate, inventory and equipment finance, while deposits reached C$24.0 billion. Laurentian had repaired enough of its commercial business to make that franchise attractive even though keeping retail, SME and commercial banking together no longer produced the strongest outcome.
National Bank is buying customer portfolios rather than Laurentian's retail operating structure. It gains loans, deposits and established relationships without taking Laurentian's branches or retail employees, allowing those customers to be served through National Bank's existing digital services, physical network and product range.
The transaction follows National Bank's acquisition of Canadian Western Bank, but the job is different. CWB brought a complete regional banking franchise. Laurentian brings selected customer books, reducing the amount of physical infrastructure National Bank has to absorb while still adding deposits and borrowers.
Fairstone is buying the part of Laurentian that complements its own lending strategy. Home Trust brought alternative mortgages, deposits, GICs and broker distribution, while Fig added digital lending and API based distribution. Laurentian adds commercial real estate, equipment finance, inventory finance, United States lending and capital markets expertise.
Those commercial capabilities were built over years, including Laurentian's 2017 acquisition of Northpoint Commercial Finance. Fairstone therefore gets experienced teams, underwriting history and customer relationships that would be expensive and slow to reproduce. It's already a Schedule I bank, so the acquisition does not give Fairstone its first banking licence. It gives the group substantially more depth across consumer, mortgage, digital and commercial credit.
National Bank takes the retail and SME deposit book, so Fairstone does not inherit Laurentian's entire funding base. The strategic gain is less about collecting all of Laurentian's deposits and more about adding specialized commercial lending to a group already built around credit.
Laurentian's sale comes as Canadian challengers pursue very different ways to grow.
Also, OSFI's streamlined approvals process could make entry more predictable for additional banking models. Laurentian therefore does not prove that smaller Canadian banks cannot survive. Its own technology, leadership and restructuring problems were significant. What the deal does show is how costly it can be for a smaller full service bank to recover from those problems while continuing to fund technology, cybersecurity, compliance, risk management, customer acquisition and a competitive range of products.
That is becoming more demanding as specialized competitors attack individual parts of banking without carrying every cost of a traditional bank. Consumer driven banking should also make financial data easier for customers to take elsewhere, raising the value of having a clear reason for them to stay.
Laurentian retail and SME customers will have to migrate products and services to National Bank, and businesses may need to update payment instructions, accounting connections, treasury processes and other systems tied to their bank. Fintechs that simplify onboarding, account connectivity, cash flow visibility, identity verification and payment routing can reduce friction while customers are already reviewing their financial relationships.
SME credit creates another opening because a forced banking transition gives businesses a reason to compare lenders. Faster underwriting helps, but better SME financial data remains essential if digital lenders want to price risk accurately rather than compete only on speed. Consumer driven banking should eventually make future migrations easier by allowing customers to authorize reusable financial data instead of rebuilding every connection manually.
Fig creates another possibility through embedded credit. Its digital lending model already places loans inside partner experiences, while Laurentian brings deeper commercial underwriting. Together, those capabilities could support financing through dealer networks, vertical software, SME platforms and other workflows where businesses encounter credit while completing the job that created the financing need.
National Bank has to migrate Laurentian customers while continuing its Canadian Western Bank integration. Fairstone has to combine businesses serving different borrowers through different systems, channels and credit models. Pricing changes, technology problems, weak communication or difficult conversions could reduce the value either buyer expects to capture.
Credit conditions add another risk because commercial real estate, mortgages, consumer lending and SME credit react differently to rates and economic weakness. Both buyers need underwriting, funding and risk controls to keep pace while integration is underway.
The result will determine whether Laurentian's disappearance mainly reduces competition or redistributes it. Canada is losing one independent full service bank, but the assets going to Fairstone could give another challenger considerably more weight.
A clean National Bank migration could give Laurentian customers more products and distribution while producing better economics from the acquired portfolios. Successful Fairstone integration could create a stronger specialty competitor across consumer credit, mortgages, digital lending and commercial finance.
The result will determine whether Laurentian's disappearance mainly reduces competition or redistributes it. Canada is losing one independent full service bank, but the assets going to Fairstone could give another challenger considerably more weight.
Does dividing Laurentian between National Bank and Fairstone preserve enough competition to compensate for losing one of Canada's long standing independent banks?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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Aug 31, 2026

Uri Poliavich is an entrepreneur and philanthropist who develops philanthropic initiatives with a focus on educational infrastructure and the long-term development of communities. He provides support for projects tied to building and modernizing schools, improving the learning environment, and developing educational teams professionally. This approach helps create the conditions institutions need to keep developing on their own going forward.
Educational institutions play a particularly important role in the development of local communities, bringing together children, families, teachers, and community initiatives around a shared learning environment. Quality schools matter especially for small communities. In that context, they provide not just the knowledge children need, but also a lasting connection between the family and the local community.
In Uri Poliavich's approach, infrastructure is treated as an integral part of a school's long-term development. Beyond current educational programs, this support includes creating the right conditions for institutions to operate and develop over many years.
A distinct direction in Uri Poliavich's work involves support for large-scale educational infrastructure projects. Such initiatives reflect the long-term approach associated with Uri Poliavich, with projects focused on creating and developing educational institutions designed for sustained use.
This format sets Uri Poliavich's work clearly apart from supporting individual educational events or various short-term programs.
Community and cultural spaces create additional opportunities for connection, for hosting various events, and for engagement among teachers, families, and community members. As a result, the educational environment becomes an important part of the broader social infrastructure.
In his work, Uri Poliavich devotes considerable attention to developing community centers and cultural institutions. Even so, he doesn't stray from his core principle: facilities need to be built with long-term use by local communities in mind.
That's why Uri Poliavich's approach helps bring several functions together within a single space – educational and communal alike.
A modern learning environment isn't just a school – it's also the full set of conditions in which children learn every day.
This environment includes:
That's why, as part of his educational support, Uri Poliavich drives the modernization of curricula and modern educational technology, along with the active development of school infrastructure. Thanks to this comprehensive approach, quality of education is judged not just by the content of a given program, but by the conditions in which that program is actually delivered.
Developing educational infrastructure means more than physical facilities – it also covers the content of the entire learning process. That's why, in his work, Uri Poliavich devotes considerable attention to updating curricula alongside introducing modern educational technology. Thanks to this approach, school development is treated as a combination of two components: infrastructure solutions and up-to-date educational content.
Updating resources covers:
But simply acquiring these resources isn't enough – schools also need to learn how to use them correctly to keep improving learning conditions going forward. All of this lets educational institutions quickly adapt their learning process to a changing set of requirements.
The quality of the educational environment also depends on how well-trained teachers are. That's why professional development for teachers is considered an essential complement to the required updates to school infrastructure and learning resources.
Uri Poliavich places particular emphasis on the professional development of teachers, helping them adopt new approaches to working with students and make the most effective use of the educational resources available. All of this matters given how often curricula are updated, when even the smallest changes call for a certain amount of preparation across the entire teaching staff.
Using the capabilities of modern infrastructure, it becomes possible to create the right conditions for teachers and administrators, who can then get a fully functioning learning process up and running far more quickly.
To apply a range of teaching methods and build a more comfortable environment for day-to-day work, the following set of elements has become essential:
For Uri Poliavich, developing infrastructure is closely tied to the ability to attract qualified specialists, as well as to creating the right conditions for their long-term work going forward.
The key difference between long-term support for an educational institution and one-time assistance lies in creating the conditions institutions need to keep working independently afterward. Uri Poliavich's approach is closely tied to building sustainable educational capabilities that hold their value even after individual projects wrap up.
A central role in Uri Poliavich's approach goes to combining the following elements:
When all of these components are developed at the same time, an institution gains enough capacity to sustain a quality educational process on its own and to plan its future work.
As a result, institutions gradually become less dependent on short-term outside solutions. Support, in this way, becomes a tool for building an institution's own educational foundation.
In Uri Poliavich's approach, a strong educational institution is an integral part of every community's life. He sets out to support schools that deliver quality general education while helping preserve Jewish identity. At the same time, in his work, Uri Poliavich pays attention not only to individual curricula, but also to questions of stability and the future development of every institution.
Thanks to this, an ongoing process of engagement takes shape between schools and community members. Regular training and development for teachers and school leadership plays an equally important role.
For Uri Poliavich, a long-term outcome depends on how well an educational institution is able to continue its work and create opportunities for the generations that follow.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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Aug 31, 2026

Anyone who moves money online eventually thinks about the network they are moving it over. Public Wi-Fi at a co-working space, a hotel connection during a conference, a café network shared with fifty strangers: all of these sit between your device and whatever platform holds your funds. Lets VPN, listed on app stores as "Lets VPN - The VPN that Always Connects" and published under the name LetsGo Network, is one of the tools people reach for in those moments.
It is a Tools-category app with a narrow job. It routes your traffic through a server you pick, encrypts it in transit, and does so without asking who you are.
The pitch from the developers is short. Unlimited data on every monthly plan, no registration and no personal information required, a free download, and a list of servers you choose from yourself rather than being auto-assigned to whatever the app thinks is closest.
That second point matters more than it looks in a fintech context. Most VPN services want an account, which means an email address, sometimes a phone number, and a billing record that ties your identity to your connection history. Lets VPN's stated approach skips the registration step entirely, which shrinks the amount of data any single party holds about you.
The manual server picker deserves a second look too. If you are connecting to a banking portal or an exchange that flags logins from unexpected regions, being able to pick a consistent server yourself avoids the whack-a-mole of geographic fraud alerts.
The obvious audience is the traveller. Founders on the road, contractors billing across borders, anyone checking a payments dashboard from an airport lounge.
Then there is the small business owner running operations from a laptop and a phone with no IT department behind them. A one-person consultancy handling client invoices does not have a corporate VPN concentrator to dial into. A consumer-grade tool that connects reliably and does not require ongoing administration fills that gap reasonably well.
Crypto and web3 users form a third group, often for reasons that have less to do with secrecy than with network hygiene. Wallet interfaces, node dashboards and DeFi front-ends are frequent phishing targets, and reducing exposure on untrusted networks is basic practice.
A caveat before going further: a VPN encrypts transport. It does not authenticate you, it does not protect a compromised device, and it will not save you from approving a malicious transaction. Treat it as one layer, not a security posture.
Financial work happens on big screens. Spreadsheets, treasury dashboards, tax software, three browser tabs of reconciliation. If your VPN only runs on a phone, your protected session and your actual work session are on different devices.
There is also a workflow problem. Toggling a connection on a phone while reading a compliance document on a monitor is friction, and friction is why people skip the security step. Having the connection control in the same place as the work makes it more likely to be used.
Lets VPN is distributed as an Android app, so running it on Windows means running Android on Windows.
An Android emulator creates a virtual Android environment on your PC, and Lets VPN behaves inside it much as it would on a handset. BlueStacks is the usual starting point for people who have never done this before. Users who want something lighter on system resources sometimes prefer LDPlayer instead.
Two things specific to this app are worth getting right.
First, the VPN tunnel inside an emulator generally protects traffic from apps running inside that emulator, not your host Windows browser. If your goal is protecting your everyday desktop browsing, verify what is being routed before you assume you are covered. Some emulator configurations share the host network stack in ways that make this behave differently than you expect.
Second, when the app asks for VPN permission on first launch, that dialog comes from Android's own permission layer, not from the app. Granting it inside the emulator is required for the tunnel to establish at all, and denying it by reflex is the most common reason people report the connection failing on desktop.
That is largely why people look up Lets VPN download for PC instead of just running the phone version: checking two or three servers for latency before committing is a task that takes five minutes on a monitor with a speed test tab open, and considerably longer squinting at a phone screen.
Multitasking is the real difference. Switching servers mid-session on mobile means leaving whatever you were doing; on desktop it is a window you alt-tab to.
For a business, personal VPN tools sit in an awkward spot. They are useful and they are also invisible to whoever is responsible for security oversight.
If your team handles customer financial data, a consumer app installed on individual laptops through an emulator is not an audit-friendly answer. It works for a solo operator or a founder in transit. It does not substitute for a managed solution with logging, device policy and revocation when someone leaves.
Ask yourself which of those two situations you are in before standardising on anything.
Free tiers and paid plans on VPN apps change, and the store description's mention of unlimited data applies to monthly plans specifically, so check current terms rather than assuming.
The more durable caveat is trust. Routing traffic through a VPN moves your visibility from your internet provider to the VPN operator, and a no-registration policy tells you about data collected at signup, not about what happens at the server. That trade is often worth making on hotel Wi-Fi. It is a different calculation for something you leave running all day on a machine that touches client money.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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Aug 28, 2026

Image: Unsplash/Jakub Żerdzicki
Artificial intelligence is rapidly changing the way individual investors interact with financial markets. Tasks that once required hours of reading reports, comparing charts, or building spreadsheets can now be compressed into a few prompts or clicks.
Modern AI investing tools can summarize market news, screen thousands of securities, identify unusual price movements, compare financial metrics, analyze sentiment, and even help investors test trading ideas.
That convenience is valuable. But it also creates a new problem: when sophisticated analysis appears instantly on a screen, it is easy to confuse speed with reliability.
For investors, the real opportunity is therefore not simply finding the most advanced AI. It is learning where AI adds value, where it can fail, and which decisions should always remain subject to independent due diligence.
The term covers a surprisingly broad range of financial technologies.
Some tools use machine learning to identify patterns in historical market data. Others apply natural language processing to earnings reports, central-bank announcements, news stories, or social-media discussions. Generative AI assistants can explain financial concepts, summarize research, compare investment ideas, or help users create screening criteria.

Image: Pexels/Matheus Bertelli
In practice, retail investors are likely to encounter AI across several areas:
The important distinction is that these tools do not all perform the same job.
An AI assistant that summarizes an earnings call should be evaluated differently from an algorithm that generates trading signals. Likewise, a portfolio risk analyzer presents a very different level of financial consequence from software capable of automatically executing trades.
One of the easiest mistakes is choosing an impressive AI application before deciding what problem actually needs to be solved.
A better approach is to begin with a specific investment task.
| Investment task | How AI may help | What still needs human verification |
|---|---|---|
| Researching a company | Summarize filings, news and earnings calls | Financial statements and original disclosures |
| Finding opportunities | Screen large datasets quickly | Whether the screening logic makes economic sense |
| Monitoring markets | Detect unusual changes or sentiment shifts | Why the change occurred and whether it matters |
| Managing risk | Analyze correlations and portfolio exposure | Personal risk tolerance and liquidity needs |
| Comparing trading platforms | Organize fees, features and trading conditions | Regulation, execution quality and actual costs |
| Generating trade ideas | Identify historical patterns | Whether the pattern remains relevant today |
This simple framework changes the role of AI.
Instead of asking, “What should I invest in?”, an investor might ask, “Which companies in this sector have improving margins, declining debt and positive free cash flow?”
The second question gives AI a defined analytical task rather than handing it an open-ended financial decision.
AI is particularly useful when the bottleneck is information volume.
Imagine following several currencies, commodities, central-bank decisions and economic indicators. Reading every announcement manually can quickly become impractical. An AI system can summarize information and highlight developments that may deserve closer attention.
But summarization is not the same as verification.
A model may misunderstand context, rely on incomplete information, overlook a change that occurred after its underlying dataset was created, or confidently present an incorrect conclusion.
That leads to a useful rule:
AI should reduce the amount of information you need to inspect, not remove the need to inspect important information altogether.
For consequential decisions, investors should return to primary sources whenever possible.
If an AI summary says a company changed its guidance, verify the announcement. If it claims a central bank changed policy, read the official statement. If it identifies an unusual fee or condition at a financial platform, confirm it directly with the provider.

Image: Pexels/Tiger Lily
This distinction becomes especially important in actively traded markets such as forex.
AI can help an investor analyze inflation data, interest-rate expectations, currency correlations, technical indicators or market sentiment. None of those capabilities, however, answer another fundamental question:
Where will the trade actually be executed?
Broker selection involves a different set of variables:
These factors should be researched independently from any AI-generated market signal.
For example, an investor researching the trading infrastructure available in the forex market can use an independent comparison resource such as iamforextrader.com/en/forex-brokers/best/ as one starting point, and then verify relevant regulatory and account information directly with the broker and applicable regulator.
The principle applies beyond forex as well. A good investment idea and a trustworthy platform are two separate questions.
Every financial model has boundaries.
Traditional quantitative models depend on the variables selected by their designers. AI systems may work with much larger datasets, but they still operate within informational limits.
Before trusting an AI-generated conclusion, consider five questions:
The last question is especially important.
The more authority an AI system receives, the higher the standard of oversight should become.
A useful financial tool should help users understand why a result appeared.
Suppose two platforms both generate a “buy” signal.
Tool A explains that the signal resulted from improving earnings expectations, falling valuation multiples and increasing free cash flow.
Tool B simply displays:
AI Confidence Score: 94% — Strong Buy
The second interface may look more sophisticated, but it actually gives the investor less useful information.
An unexplained confidence percentage can create false precision. Without knowing the inputs, methodology, testing conditions or assumptions behind a signal, users cannot properly evaluate its reliability.
This is why explainability matters in financial technology.
Investors do not necessarily need access to every line of code, but they should be able to understand the basic logic behind a recommendation.
AI trading products often attract attention with historical performance.
Backtesting can certainly be useful. It allows investors and developers to see how a strategy would have behaved under previous market conditions.
But historical success can become misleading when a model has effectively been optimized to explain the past.
This is known as overfitting.
A strategy may perform exceptionally well because it has learned patterns that happened to exist in a particular dataset rather than patterns likely to persist in future markets.
When evaluating a data-driven strategy, look beyond headline returns and ask about:
A backtest that ignores realistic trading costs is particularly questionable for strategies that trade frequently.

Image: Pexels/cottonbro studio
AI investing tools can also create privacy and cybersecurity considerations.
Investors should be cautious about entering sensitive information into general-purpose AI systems, particularly:
Before connecting any application directly to an investment account, understand exactly what permissions it receives.
Read-only portfolio access is very different from permission to execute trades or transfer assets.
The principle of least privilege works well here: give a financial application only the access it genuinely needs.
Investors do not need to choose between artificial intelligence and traditional research. The two can complement each other.
A practical workflow might look like this:
Step 1: Use AI for discovery.
Screen markets, identify unusual developments or generate research questions.
Step 2: Ask for reasoning.
Request the factors behind the conclusion rather than accepting a score or recommendation.
Step 3: Verify important facts.
Check financial statements, regulator databases, company announcements and original economic data.
Step 4: Challenge the thesis.
Ask what could make the investment idea wrong.
Step 5: Evaluate execution conditions.
Understand fees, liquidity, spreads, platform risks and regulatory protections.
Step 6: Size the risk independently.
A high-confidence AI prediction should never automatically determine how much capital is placed at risk.
This workflow turns AI into an analytical assistant rather than an autonomous decision-maker.
The evolution of AI investing tools is part of a broader transformation in fintech.
Retail investors increasingly have access to analytical capabilities that were once expensive, technically difficult or available mainly to professional institutions. That democratization of financial technology can improve access to information and make research considerably more efficient.
But better technology does not eliminate uncertainty.
Markets still respond to changing expectations, unexpected events, human behaviour and information that models cannot perfectly anticipate.
The investors who benefit most from AI may therefore not be those who automate the greatest number of decisions. They may be those who learn to divide the investment process intelligently between machines and humans.
Let AI search faster, process more information and challenge assumptions.
Keep verification, risk tolerance and final accountability human.
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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August 28, 2026 | NCFA Insight | Regulation And Policy, Capital Markets And Market Infrastructure, Wealthtech Investing And Trading, Risk Compliance And Regtech

On August 27, 2026, the Canadian Securities Administrators (CSA) and Canadian Investment Regulatory Organization (CIRO) issued new guidance on sports and entertainment event contracts. The CSA says those contracts belong outside securities and derivatives regulation, and CIRO will not approve dealer members to trade them.
The decision closes the securities-dealer route without banning every sports prediction market category under every Canadian law. Gaming and other applicable rules can still determine what is permitted elsewhere, but Canadian investment dealers now know sports and entertainment will not join the event contracts they can distribute through CIRO.
CIRO currently allows two investment dealers, Wealthsimple Investments Inc. and Interactive Brokers Canada Inc., to facilitate a limited set of contracts tied to economic forecasts, environmental outcomes and financial indicators. Permitted contracts generally need at least 30 days to maturity, clients cannot use leverage, and elections, referendums, political nominations and other political events remain prohibited.
In the U.S., sports category helped prediction markets reach a much larger audience. Prediction Markets Tighten As Wealthsimple Enters noted in March that a March Madness winner contract had already exceeded US$100 million in volume and 2026 Super Bowl contracts topped US$1 billion. Canada is now explicitly removing that demand interest from the securities-dealer channel.
That leaves economic, environmental and financial contracts to prove they can generate repeat participation and enough liquidity to remain useful. Rates, inflation, housing and climate outcomes can carry real forecasting value, but they don't naturally produce the same frequency, fan interest or habitual trading as professional sports.
Platforms are also experimenting with how prediction markets are presented. CRSHMARKET's livestream prediction-market model combines live video, creators and event contracts to make participation more immediate. That doesn't change Canada's regulatory limits, but it highlights why product format is important to growth if permitted contracts have to compete for attention without sports.
A contract within CIRO's permitted categories can potentially reach Canadian clients through an authorized investment dealer, while sports and entertainment contracts cannot use that route. Product teams therefore need to understand the event being priced, the applicable regulator and the distribution rules before estimating the addressable market.
As a result, the need for regulated event contract infrastructure is more valuable. Platforms need compliance controls, market surveillance, outcome verification, settlement and dealer integration, but they also need to know which contracts can be offered through which channel.
Infrastructure providers that help firms classify products, apply the right controls, integrate regulated distribution and settle outcomes can serve multiple markets even when the permitted contract set differs by jurisdiction.
CSA and CIRO say they are still assessing other types of event contracts. They haven't said which additional categories may eventually fit inside securities and derivatives regulation or which will remain outside it.
Those decisions will help determine the size of Canada's regulated prediction-market business. If CIRO dealers remain concentrated on economic, environmental and financial indicators, the sector may develop mainly as a forecasting and investment product. Additional permitted categories could create more reasons to trade and more opportunities for liquidity to build.
Regulators still need to consider market manipulation, insider information, outcome integrity and whether a particular event belongs inside financial regulation at all.
Can Canadian prediction markets build enough liquidity around economic, environmental and financial events without the sports contracts that helped drive U.S. adoption?
The National Crowdfunding & Fintech Association (NCFA Canada) is a financial innovation ecosystem that provides education, market intelligence, industry stewardship, networking and funding opportunities and services to thousands of community members and works closely with industry, government, partners and affiliates to create a vibrant and innovative fintech and funding industry in Canada. Decentralized and distributed, NCFA is engaged with global stakeholders and helps incubate projects and investment in fintech, alternative finance, crowdfunding, peer-to-peer finance, payments, digital assets and tokens, artificial intelligence, blockchain, cryptocurrency, regtech, and insurtech sectors. Join Canada's Fintech & Funding Community today FREE! Or become a contributing member and get perks. For more information, please visit: www.ncfacanada.org
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