Founder and CEO of Frec. Reach me at mo@frec.com Frec disclosures: docs.frec.com/social-media-d…

San Francisco, CA
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Frec has crossed $1.5 billion in customer assets. That’s another $500 million since we announced $1 billion just a few months ago 🚀🚀🚀 We’re marking the occasion with @Nasdaq . Thank you to the Nasdaq team for featuring @frecfinance on the tower in Times Square! We’ve also been working together on something new for Frec customers that we’re excited to share soon. Thank you to our customers for trusting us with their money, and to the Frec team for getting us here!
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Our $100k demo account gained about $19k in roughly a year, net of financing and management fees. It uses a value-tilted 140/40 direct indexing strategy based on the Russell 1000. For comparison, a  $100k investment in a Russell 1000 ETF over the same period would’ve gained about ~$445 less. And here’s the kicker: it also harvested ~$27k in capital losses while appreciating in value. This is a real account, not a backtest - anyone can inspect every position and trade on our website (link in my comment). It’s worth noting that the long short direct index carries a different risk profile and can expect a tracking error of ~1.5%. We chose a value tilt because many of our customers work in tech and already have significant exposure to growth stocks. We wanted to demonstrate how they could lean into value while maintaining broad market exposure. Those $27k in harvested losses can offset capital gains elsewhere. Someone selling appreciated company stock, for example, could use $27k of harvested losses to offset that amount in gains. At a combined 30% tax rate, that could defer a ~$8k tax bill, leaving that money invested in the market instead. We made 140/40 available starting at a $100k minimum, and customers can get started in a few minutes. We also offer 200/100 and 250/150 versions. The additional leverage allows for a stronger factor tilt and creates more opportunities to harvest losses.
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Link to the demo account: frec.com/app/demo/direct-ind… This strategy uses margin and short positions, which add risk beyond a traditional long-only investment - see Frec's Margin Disclosure before borrowing. Past performance does not guarantee future results, and this account's results may not be representative of other clients' experiences, as timing, deposits, factor tilt, leverage, benchmark, and customizations vary. Frec does not provide tax advice and tax outcomes will vary by client.
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QQQ assets. Page 7 here: nasdaq.com/docs/2021/04/28/N… Assets tracked by Nasdaq-100 here: ir.nasdaq.com/news-releases/…
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Most have heard of tax-loss harvesting. But a different version is attracting the Treasury's attention: ordinary-loss harvesting. It aims to offset ordinary income, like business earnings and, within limits, salary income. Meanwhile, gains can receive more favorable capital gains treatment. This is different from traditional tax-loss harvesting which uses capital losses to offset capital gains, plus up to $3,000 of ordinary income each year. Frec’s Long short portfolios harvest capital losses too. One high-profile example of capital loss harvesting: The Wall Street Journal reported that President Trump’s investment accounts use direct indexing. Ordinary-loss harvesting seeks to go much further. Treasury officials have described sales pitches advertising a $300,000 ordinary loss on a $1 million investment. A new Tax Notes article by NYU law professor @DanielJHemel explains the distinction, using AQR’s TA Delphi Plus fund as an example of ordinary-loss harvesting. Hemel traces the strategy to a “temporary” Treasury exception from 1988 - still in place 38 years later. It lets investors use ordinary losses from certain funds to offset income from businesses they actively run, even when they don’t help run the fund. His proposed fix is to remove that exception through Treasury’s rulemaking process. At @frecfinance, our Long short and Diversify strategies harvest capital losses. They do not pursue ordinary-loss harvesting. We’ve worked with tax counsel in structuring these strategies, and we’ll continue monitoring developments. These distinctions matter in how the topic is covered. CNBC's recent reporting on tax-aware Long short strategies included an “IRS crackdown” section, while noting that officials hadn’t named those long short tax-aware strategies specifically. We’d love to see coverage make clearer which products and which types of losses are under scrutiny, especially in headlines. That helps investors understand which risks may apply to them.
Now out in @TaxNotes: How Treasury created "carried interest on steroids" -- a tax strategy that allows high-net-worth investors w/sufficient liquidity to transform potentially unlimited amounts of active business income into long-term capital gain ... 1/
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“You guys found the perfect crowd. We’re all rich dads, and this is the ultimate rich dad joke.” That was one attendee’s reaction to our “Long short” shirts at this year’s All-In Summit. 😂 @frecfinance was back as a sponsor this year. That’s Nolan Pecci in the photo: one long sleeve, one short sleeve. We took product marketing literally. There’s a more serious reason we like this audience. We’re building Frec for people who want to stay involved in managing their wealth. They want access to sophisticated investment strategies without having to manage every trade themselves or hand their entire portfolio over to an advisor. The team’s report from the booth: “The shirts are a hit.” Thanks to @chamath, @Jason, @DavidSacks, and @friedberg for having us back. And to Nolan for committing to the outfit.
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Here’s a small example of how nuanced tax-loss harvesting gets in a long short portfolio: when you close a short at a loss, the loss is recognized on settlement date. When you sell a losing long position, however, the loss is recognized on trade date - usually one business day earlier under T+1. The reason is that, for tax purposes, a short sale is not considered complete until the shares are delivered to close the position. That delivery date also anchors the wash sale window for the short position, so a losing short and a losing long are measured from different days. One day may sound immaterial. But when running long short portfolios at scale, a system that treats every loss as occurring on trade date can miscalculate the wash sale window and, for a December trade, place the loss in the wrong tax year.
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For those interested in the underlying rules, this treatment comes from the Treasury regulations governing short sales and wash sales and was confirmed in IRS Revenue Ruling 2002-44
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Yesterday, Moderna rose roughly 177% in a single day after positive Phase 3 results for its cancer vaccine. Anyone short Moderna took real losses. So our quant team immediately looked at Moderna exposure across Frec's Long short portfolios. This is why risk controls matter. When we construct a Long short portfolio, no individual short position is allowed to become a meaningful concentration. Positions are diversified and capped at 1-2% of the portfolio at construction, so even an extraordinary move in a single stock has a limited impact on the overall portfolio. Long short direct indexing does introduce incremental risk versus a class direct index. A classic direct index targets roughly +/- 0.8% of tracking error, compared with roughly +/- 1.5% for our 140/40 strategy. The increase in tracking error risk is deliberate: accept a somewhat larger risk budget in exchange for factor exposure, the potential for excess returns, and substantially more opportunities to harvest tax losses. The important part is that the additional risk is engineered and monitored rather than taken blindly. This is what makes Long short direct indexing such an interesting financial product. We think most index investing will eventually move toward direct indexing over time, and a meaningful share of it will use Long short extensions.
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We just released two important updates to Frec, and customers are already putting them to use. 𝗙𝘂𝗻𝗱 𝗮 𝗟𝗼𝗻𝗴 𝘀𝗵𝗼𝗿𝘁 𝗱𝗶𝗿𝗲𝗰𝘁 𝗶𝗻𝗱𝗲𝘅 𝘄𝗶𝘁𝗵 𝗘𝗧𝗙𝘀 Customers can now fund up to 70% of a Long short direct index with eligible ETFs, making it much easier to meet strategy minimums without selling appreciated positions. For example, a customer can now fund a $500K Quality-tilted 250/150 S&P 500 direct index with $150K of QQQ, $200K of SPY, and just $150K of cash. To make this work, we upgraded our risk models to understand the exposures inside ETFs. Rather than simply selling the ETF, the optimizer can account for those existing exposures when constructing the long and short extensions. If the contributed ETF is heavily exposed to technology, for example, the rest of the portfolio can be built to help offset that concentration. We cap ETF funding at 70% (with no single ETF making up more than 50%) so the strategy still has enough cash to maintain healthy tracking. We don’t support every ETF yet, but most mainstream ETFs are eligible. 𝗣𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼 𝗮𝗹𝗹𝗼𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗻𝗼𝘄 𝘀𝘂𝗽𝗽𝗼𝗿𝘁𝘀 𝗺𝗼𝗿𝗲 𝗮𝘀𝘀𝗲𝘁 𝗰𝗹𝗮𝘀𝘀𝗲𝘀 Portfolio allocations is one of my favorite features at Frec. Customers can combine multiple direct indices, assign target weights to each, and have every recurring deposit automatically allocated toward those targets. They can also rebalance the portfolio with a tap. Until now, the feature was mostly focused on our direct indices. We’ve expanded it to support bonds, international bonds, TIPS, precious metals such as gold, commodities, and cryptocurrencies through a curated set of ETFs. This makes it possible to manage a much broader investment portfolio inside Frec while keeping target allocations automatically on track. And we have a lot more cooking 🧑‍🍳
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Today, every U.S. citizen has a $15M federal estate tax exemption. For a single person, the portion of a taxable estate above $15M can be taxed at 40%. Separately, something else happens at death: appreciated taxable assets receive a step-up in cost basis. If someone bought Apple at $10 and it's worth $500 when they die, the heir's cost basis generally becomes $500. The $490 of unrealized capital gain is never taxed as a capital gain. These are two separate parts of the tax code, and a lot of discussion about tax deferral conflates them. One of the main benefits of tax-loss harvesting is that it can defer capital gains taxes. If those gains remain deferred until death, step-up in basis can eliminate the capital gains tax. But that doesn't eliminate the estate tax. If someone dies with a large taxable estate, the federal government can still collect 40% on the amount above the available $15M exemption. This is why I think describing capital gains deferral as simply "tax elimination" is misleading, as some recent media articles have claimed. Yes, the capital gains tax can disappear at death. But for wealthy estates, a separate 40% tax can still be collected through a completely different part of the tax code. And frankly, that makes intuitive sense. Without step-up, someone could pay capital gains tax and then have the remaining wealth subjected to estate tax at death. The $15M exemption also isn't fixed. It was $5M in 2011 and is $15M today. Congress has changed it before and can change it again. It seems to me that if Congress wants to collect more tax from large estates, lowering the estate tax exemption is the more direct mechanism.
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This is general educational info, not personalized tax, legal, or investment advice. Everyone's tax situation is different, so please speak with a qualified tax advisor or estate planning attorney before making any decisions.
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Frec’s long short product asks customers to make a difficult decision: choosing a tilt for their investment towards a factor like value, quality, or growth. Many customers freeze at this step because they’ve been educated to “just buy the index”. I was in that camp too, so I understand the hesitation. What I learned is that a modest factor tilt can help balance exposures elsewhere in an investor’s financial life. Consider a couple working in tech and living in the Bay Area. They may own employer stock, a home whose value is tied to the local technology economy, and technology-heavy investments similar to  QQQ. Taken together, they are likely overexposed to tech and the Growth factor. One way to balance that exposure is to direct new investments toward an index with a modest tilt toward an underrepresented factor, such as Value or Quality. The long and short extensions can reinforce that positioning by slightly reducing exposure to stocks with the strongest Growth characteristics. The customer still owns a portfolio designed to track the same underlying index. Both extensions operate within a defined tracking error, or risk budget, and the portfolio maintains a theoretical beta of ~1. There is also an important side benefit: more powerful tax loss harvesting. Because the strategy holds both long and short positions, it can create opportunities to harvest losses whether the market is rising or falling. For example, a 250/150 Long short direct index targets approximately 4% of annualized tracking error. In statistical terms, roughly two-thirds of one-year outcomes would be expected to fall within 4% above or below the benchmark. The strategy is also estimated to harvest capital losses of ~55% of the initial investment during the first year. We’re excited to continue to bring sophisticated products directly in the hands of self-managed investors.
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Long short direct indexing white paper: frec.com/resources/blog/whit…
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We’ve been programmed to think, “Buy low, sell high.” One alternative worth considering is: “Buy high, sell higher.” Of course, that framework only works if we are not dealing with a dot-com-style bubble. Today’s market looks very different from that era. The largest companies are mature, highly profitable businesses, while the dot-com boom included many newly public companies with little revenue and no profits. Earnings are also doing more of the work today: in 2026, forward earnings have risen faster than stock prices, meaning the rally has been driven more by profit growth and less by valuation expansion. Also, Nasdaq 100 P/E was 86x in May 2001... it’s 24x today. So why buy high and sell higher? Because waiting for a market dip can mean waiting indefinitely. In a sustained bull market, today’s high may become tomorrow’s low, and it is extremely difficult for an individual investor to identify the perfect entry point while the market continues setting records. J.P. Morgan analyzed S&P 500 returns since 1988 and found that investing at a new all-time high produced higher average subsequent returns than investing on an average day: 14% versus 12% after one year, 46% versus 41% after three years, and 82% versus 76% after five years. This is a personal observation, not investment advice, but when the S&P 500 reaches a new all-time high, I tend to buy and not sell.
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Charles Schwab's CEO Rick Wurster used this week's earnings call to make a strong endorsement of tax-aware investing, saying it "helps clients live their best financial life." That's a notable statement coming from the CEO of a firm that custodies trillions of dollars in client assets. He highlighted growing client demand, attractive unit economics, better outcomes for certain investors, and the strategic importance of the category to Schwab. A few other comments stood out: "We continue to see client interest in long short. I do think we've seen a particular surge." "As we look at the economics and look at the ROE, we find it to be accretive." He also noted that winning long short relationships often leads to winning the broader household relationship with RIAs. We certainly agree! We're excited to make sophisticated tax-aware long short investing accessible to a much broader group of self-managed investors.
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I was catching up with a friend at Anthropic and asked him, “Are big financial firms starting to present to employees ahead of a potential IPO?” Morgan Stanley, Fidelity, Charles Schwab, and other large financial institutions often begin courting employees of pre-IPO companies well before a listing. They typically host company-facilitated seminars on wealth management. He said, “No, I haven’t seen that. And I think Anthropic employees would rip apart some generic financial advisor giving generic [redacted] advice.” Anthropic employees are among the most AI-pilled people in the world. They live at the frontier of what these models can do and are likely to have a much more advanced intuition for where AI is headed. I think this is a canary-in-the-coal-mine moment. If the tip of the spear is already skeptical of generic financial advice, I think many affluent investors will follow over the next several years. The best advice will level up. It will become more specialized and more technical. AI-assisted advice will plug into platforms that can actually execute sophisticated, bundled strategies: tax-aware direct indexing like long short direct indexing, portfolio financing, advanced option strategies, and other products that were historically reserved for wealthier households with private banks. Generic advice will not cut it anymore. Another friend told me, “Fable has been very good at critiquing my portfolio”. When AI can already provide thoughtful, personalized feedback, human advisors will need to offer substantially more than generic asset allocation and a quarterly check-in.
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A number of investing platforms are jumping on AI agentic trading. My hot take: it is a bad idea for long-term investing. The pitch is compelling: give an AI agent your brokerage account, let it read the news and earnings calls, and ask it to trade and find alpha. But professional active managers already have dedicated investment teams, deep research budgets, and proprietary data. Even so, 89.93% of active U.S. large-cap funds underperformed the S&P 500 over the past 15 years. This should make us skeptical that a retail agent, acting on generic prompts like “buy the dip” or “analyze this earnings call,” will reliably beat the market. The more promising use of AI is helping an investor or researcher test a specific thesis across far more information than a human could process alone. A few areas that seem promising: 1. OTC biotech and pharma research Use AI to synthesize molecular targets, trial design, readout dates, competitive landscapes, and prior clinical evidence. The goal is to identify cases where the market may be underpricing the probability of success. 2. Small-cap and international research Many companies have thin analyst coverage and fragmented disclosures across local filings, investor presentations, and non-English sources. Translation and structured extraction can make that information far easier to analyze. 3. Regulatory and policy exposure AI can help map an FDA decision, tariff proposal, Medicare reimbursement change, defense contract, energy permit, or state-level rule to the companies and revenue streams that may be affected. My concern is that many retail investors who are seeking alpha will treat AI agentic trading as simple prompts into a chatbot. In reality, using AI requires a well-defined thesis, deep domain knowledge, a thorough AI workflow, and real work to validate the output.
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