Video summary
Il a fait plusieurs x10 : dans quoi investit-il maintenant ? @rorovevo
Main summary
Key takeaways
Market Outlook and Portfolio Positioning
Roro Crypto (Romain) discusses crypto-market timing, yield strategies, token research, and potential opportunities in equities. He says he is increasingly reducing his crypto exposure and may cut speculative positions before year-end. If markets sell off, he plans to watch for opportunities in stocks.
Bitcoin and market timing
At the time of filming, Bitcoin was around $82,000–$83,500. Roro says a possible low had been near $57,000. He considers two scenarios—that $57,000 was the bottom, or that another low is still ahead—and says his job is to assess probabilities rather than claim certainty.
He sees a possible repeat of a midterm-election-year pattern: a weak start, a summer rally, and then another decline toward year-end. He cites 2014, 2018, and 2022, and says a low could arrive late in 2026 or possibly in Q1 2027. He leans toward another low, citing recently raised rates, the Clarity Act not having passed, and his view that the market’s cycle timing does not yet support new highs.
Roro had planned to sell 90% of his crypto in October, but did not follow through because he saw insufficient euphoria. He later bought BTC around $62,000–$65,000 and retained cash in case prices fell again.
Investor approach and altcoins
For investors who cannot read charts, Roro emphasizes buying only assets they understand and have conviction in. He says a BTC investor with a multi-year horizon should be prepared for a 40–50% drawdown. As an example, he gives a hypothetical $60,000–$80,000 entry range and a five-year scenario of $250,000.
He says dollar-cost averaging (DCA) is suitable for most individual investors. He also says crypto can hurt diversification-adjusted performance, and that only highly engaged investors may be suited to fast-moving altcoin trades.
Roro calls older-cycle altcoins “dinosaurs” and recommends selling them rather than waiting indefinitely for prior highs. He names Polkadot (DOT) and Avalanche (AVAX) as examples. If diversifying into major altcoins, he says he would focus on ETH or SOL. He also warns that crypto narratives are getting shorter-lived.
Yield Farming and Market-Neutral Strategies
Roro says a large part of his wealth is in non-directional crypto yield strategies, rather than simply going long or short.
Funding-rate strategy
He describes holding spot crypto while shorting an equivalent futures position, aiming to collect funding payments while limiting directional market exposure. He uses Hyperliquid and says some platforms pay funding hourly.
He cites funding rates of roughly 0.013% per hour, sometimes around 0.030% per hour in a very bullish market, but says rates can also turn negative. He characterizes the strategy as profitable for him about 80% of the time.
Leveraged lending and staking
Roro describes supplying ETH to Aave as collateral, borrowing USDC, using it to buy more ETH, and supplying that ETH back to Aave. He also stakes ETH, aiming to offset borrowing costs.
He says USDC borrowing costs were around 3–4%, and claims the combined approach can produce 15–30% annual returns without directional market risk. He stresses that the main risks are structural, such as a protocol exploit or failure. He mentions Aave, Lido, and Morpho, while saying Aave is especially important to his approach.
He says he prefers this kind of yield generation to leaving a large cash balance in a bank. The returns and risk characterization are his own claims and are not independently verified in the video.
Token Research and Examples
Roro’s research framework is to think like a business operator and assess whether a project solves a real problem and can generate durable revenue. He recommends:
- Identifying the problem a project addresses and whether its product offers a meaningful advantage.
- Understanding the business model, including how the platform earns revenue, its fees and incentives, its tokenomics, and whether revenue supports token buybacks.
- Assessing the competitive landscape, the project’s narrative, and what could distinguish it from existing platforms.
- Examining the team, backers, and public information, without assuming that a well-known investor’s involvement guarantees success.
- Considering token launches, airdrops, liquidity, and likely selling pressure. Roro says entries can be attractive after airdrop recipients sell and a project stabilizes.
- Keeping speculative positions small. He describes some as around 1–2% of his portfolio.
Projects discussed
- Aster / Aster DEX — The transcript also renders the name as “Astar” or “ASTR.” Roro says he became interested while looking for higher funding rates, then saw a possible solution to the visible-order problem on existing decentralized perpetual exchanges: a “dark pool” design with hidden orders. He also cites public clues involving CZ, a possible Binance connection, and the platform’s funding-payment schedule. He says he was about 90% convinced, made a video before the token launch, and bought initially around $0.08, scaling in as the price rose. He describes the trade as reaching roughly 13× and says he exited around $2.15; another part of the discussion says the price broke through about $2.30. The video’s opening frames the result as turning €75,000 into a Ferrari, while Roro later says he made $75,000 on the trade. These figures are presented inconsistently in the subtitles.
- Lighter — Roro says it launched around $3, then fell as airdrop recipients sold. He bought in the approximate $0.90–$1.15 range, with an average around $1.10, and at one point described $2.20 as a potential 2× target. He later says he sold around $3 and that it was trading near $5 at the time of the interview. He cites low costs, technology, and backing associated with Robinhood and a16z as part of his thesis. He says he invested about $120,000.
- Kinetic — Roro says he entered too high, endured a prolonged drawdown, and eventually exited after recovering from being underwater.
- DRV / Deriv — He sees a possible opportunity in decentralized options, particularly if traditional financial institutions’ interest in tokenized assets grows. He says he used AI-assisted research to find it, invested about $15,000, and that the token rose 179% shortly after he entered. He remains constructive but views it as speculative.
- VVV — Mentioned as another project identified in his research, but Roro does not describe investing in it.
Roro says he uses AI agents to scan projects and institutional newsletters and to generate a morning brief. He presents these tools as research aids, not guarantees of investment success.
Decentralized Exchanges and Token Economics
Roro argues that some decentralized exchange tokens may benefit when their platforms generate revenue and use it for buybacks. In his view, revenue-funded buybacks can create token demand beyond the buyer-versus-seller dynamic of a simple zero-sum trade. He compares this with exchange tokens such as BNB and Bitget’s token, and discusses Hyperliquid as an example of a platform with a strong product and token-linked economics.
He also expects perpetual DEXs to take more share from centralized exchanges. He argues that compliance restrictions will not necessarily eliminate demand because alternative platforms may emerge.
Equities, AI, and Robotics
Roro says AI is a larger opportunity than crypto in terms of its broad impact, comparing it with the arrival of the internet. He says he already automates a lot of work with AI.
If crypto markets fall, he says he would focus more on stocks, especially satellite connectivity and robotics.
- ASTS: Roro identifies ASTS as a satellite-related stock to watch. His thesis is that satellite connectivity could challenge traditional telecom operators by providing coverage where cellular networks are weak. He says he intends to buy it; this is his personal view, not a guaranteed outcome.
- CCXXI: The ticker or name may be rendered inaccurately in the subtitles. Roro discusses a US-listed robotics company whose name he expects to change to Agility. He describes it as focused on professional and industrial robotics and says its robots have been used in Amazon and Toyota factories. He also cites Nvidia, Amazon, and Toyota as investors. He believes Elon Musk’s Optimus humanoid robot, expected in 2027, could create a broader robotics investment narrative, and speculates that some stocks could potentially rise 5–10× if hype develops.
His broader thesis is that industrial robotics can improve productivity, whereas consumer-facing novelty robots may be less compelling.
Cautions, Disclosures, and Risks
Roro acknowledges that his audience and public posts can affect small, illiquid tokens: announcing a purchase may create a price candle, and selling can be difficult. He denies manipulating markets but says having an audience can influence performance and execution.
He describes network access and occasional information advantages as part of his edge. He also discusses a proposed 20% profit share from a large Aster investor. Roro says the investor made about $1.2 million but did not pay him.
He warns that token narratives can reverse quickly and that many projects fail. His guidance is not to go all-in, to do due diligence, and to invest only money one can afford to lose.
The interview includes a promotional segment for Breakout/Kraken prop-firm challenges, citing entry from $20 and accounts up to $200,000. The host says these use a drawdown rule and mentions bonuses. The segment is promotional, and the transcript does not provide independent performance data.
No explicit “not financial advice” statement is audible in the subtitles. The closing guidance is to do your own research, conduct due diligence, avoid going all-in, and risk only money you can afford to lose.
Assets, tickers, and instruments mentioned
BTC, ETH, SOL, DOT, AVAX, BNB, ASTS, CCXXI (ticker/name uncertain in subtitles); Aster/ASTER (also rendered as ASTR), Lighter, DRV/Deriv, VVV, Kinetic, Hyperliquid, Aave, Lido, Morpho, Polymarket, USDC, Bitcoin and Ethereum staking, perpetual futures, funding rates, options, tokenized equities, forex, gold, commodities, oil, stock indices, and prop-firm trading challenges.
Presenters and sources
The presenters are Romain “Roro Crypto” and an unnamed Blocks/BlocksTV interviewer. Other sources discussed include public posts by CZ, institutional newsletters and hedge-fund briefs, and AI research agents.
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