The Black Box Behind Bitcoin's 'Gradual Bull Market': What Benson Sun's ILI Really Reveals
CryptoSam
On a late September morning, with Bitcoin trading sideways around $60,000, a market commentary crossed my desk that promised to explain the entire cycle. Benson Sun, a former FTX community partner, was arguing for a 'gradual bull market' driven not by retail excitement but by institutional liquidity. His central tool was a private indicator called the Institutional Liquidity Index, or ILI, which fuses dollar liquidity, corporate treasury valuation premiums, and spot ETF inflows into a single signal. The conclusion was optimistic: Bitcoin would grind toward new highs, but without the vertical spike-and-crash rhythm of 2017. For anyone who lived through that era, the phrase 'this time it is different' creates immediate discomfort. To be fair, the commentary was not a reckless shill. It contained a legitimate insight about how institutional balance sheets alter price discovery. But it also wrapped that insight in a black-box indicator that cannot be audited, from a figure whose institutional pedigree carries baggage. In a bull market, where every analysis looks smart, separating the durable observation from the flattering narrative is the editor's job. So let me explain what the ILI actually claims, why its logic partially holds, and where the model quietly breaks down.
First, the context. Sun is not an anonymous influencer; he is a named former community partner at FTX, a role that raises obvious questions about judgment and association after the exchange's collapse. His framework is built on a simple observation. Since spot Bitcoin ETFs were approved, institutional money enters the market through regulated channels, buying physical Bitcoin. At the same time, many professional desks run delta-neutral strategies: they hold spot positions while shorting futures to capture basis and funding yields. This combination means fresh buying pressure in the spot market is partially hidden from derivatives-based indicators. Funding rates stay low. Futures premiums stay subdued. The usual warning signs of a frothy top—sky-high funding, parabolic futures curves—do not appear. According to Sun, the market therefore moves differently in an institutional-led cycle: it advances in measured steps, with local tops and shallow corrections, rather than the retail-driven melt-up of previous cycles. This is the 'progressive bull market' thesis.
To support it, Sun offers ILI as a composite of three inputs: aggregate dollar liquidity, the mNAV premium of publicly listed Bitcoin treasury companies, and spot ETF net inflows. When all three expand, institutional liquidity is rising and the bull trend has fuel. He defines a 'yellow divergence' when Bitcoin makes a new 30-day high but ILI does not confirm, and a 'red divergence' when ILI drops below 50. His operational advice is equally clear: keep a larger Bitcoin core, cut altcoin exposure, and scale out in stages. That recommendation aligns with the conclusion of the framework—but, as I will show, the alignment may be the weakest part of the design.
It is also worth noting the temporal context. This commentary appears to have been written around September 2024, when Bitcoin was consolidating near $60,000 after a strong post-ETF run. A thesis born in a mid-cycle lull is naturally biased toward gradual continuation. It is easier to predict stepwise gains after sideways basing than before a decisive breakout. The same framework applied in March, after a parabolic run to $73,000, would have carried a very different emotional undertone. That is not a criticism; it is a reminder that all market frameworks are partly products of the moment they are created.
Let me start with what the framework gets right. In my experience analyzing market structure since the ICO years, the most common error among analysts is applying historical cycle metrics without adjusting for the composition of marginal buyers. MVRV Z-Score and funding rates were calibrated in an era when retail traders dominated open interest. When institutional players hold spot and hedge in futures, those old tools become noisy. Sun is correct to flag that. I have seen this dynamic play out in real time: during the 2024 rally, funding rates repeatedly remained muted even as Bitcoin trended upward, because delta-neutral desks were extracting yield while their spot inventory absorbed selling pressure. That behavior does change the shape of a cycle. So the core observation should be preserved.
However, the ILI has a serious verification problem. As someone who built a reputation auditing whitepapers for token distribution flaws, I know the difference between a transparent methodology and a curated narrative. ILI is the latter. Its exact weightings are undisclosed. The data sources are undisclosed. The '50' threshold has no mathematical derivation: is it a z-score? A percentile? A normalized ratio? No one outside the author's private circle can answer. There is no public backtest, no third-party reproduction, no forward-testing record. In the blockchain world, we would call an unaudited smart contract high risk. We should treat an unaudited market indicator the same way. An investor cannot know if ILI is a genuinely predictive tool or a curve-fit description of past price moves. This matters because the entire bull case is filtered through it.
Worse, the design of the signal creates permanent ambiguity. Yellow divergence is defined as Bitcoin printing a 30-day high without ILI confirmation. In a bull market, Bitcoin prints 30-day highs repeatedly. It is statistically impossible for any composite liquidity gauge to confirm every single high. So yellow divergence fires constantly. Sometimes it precedes a short pullback; sometimes it persists for months while price drifts higher. The signal is not a timing tool; it is a general statement that 'liquidity is not expanding as fast as price.' That is true in most uptrends. The framework therefore seems always right, but its predictive value is diluted. This is a classic problem with private indicators designed after the fact: they fit historical noise beautifully and say little about the future.
Let me also question the red threshold. ILI below 50 is supposed to mean 'stop participating.' But because ILI is a composite of dollar liquidity, mNAV premium, and ETF flows, an investor cannot independently observe these inputs in real time. By the time ILI drops below 50, the causes may already be visible in public data: ETF outflows for two weeks, a distressed corporate treasury, a Federal Reserve pivot. An efficient investor can watch those public signals directly and avoid the opaque wrapper. The black box, in other words, adds no speed and introduces a trust risk. It simply converts observable data into a private narrative. Truth over hype. Always.
Now consider the mNAV flywheel, which the framework itself includes. When a Bitcoin treasury company trades above its net asset value, it can raise equity or debt to purchase more Bitcoin. That purchase pushes Bitcoin up, which raises NAV per share, which often widens the premium further, which makes more issuance attractive. This is a positive feedback loop with real consequences. If the premium compresses—say because equity markets sour or Bitcoin corrects—the financing channel dries up. The marginal buyer disappears, and the same companies that propped up the market become forced sellers to manage leverage. The author acknowledges this by including mNAV in ILI, but he treats it as a liquidity input rather than a fragility source. That is an inversion of priorities. The flywheel is not evidence of institutional maturity; it is leverage dressed in a suit.
We should also ask what is missing from the ILI. There is no mention of stablecoin supply, exchange net flows, or on-chain realized profit and loss behavior. Those are the metrics that historically catch turning points. A composite that ignores on-chain behavior is not a complete liquidity index; it is a macro-finance index with a crypto wrapper. That might be intentional, but it limits the tool to episodes where institutional flows dominate. It also means that when retail activity returns—and it will return—the ILI may become slow and irrelevant.
This brings us to the uncomfortable question of the author's own positioning. The commentary advises readers to increase Bitcoin weight and reduce altcoin exposure. It also advises scaling out in stages, keeping only spot, and treating red divergence as the final stop. The title promises a gradual bull market and new highs; the body is a risk-management manual. That gap is not a contradiction—it is a candour slip. A person who expects multiple local tops, who is trimming positions, and who keeps only spot holdings is positioned for a cycle that may be nearing exhaustion. So while the headline says 'long-term bullish,' the operations say 'defensive.' I find that far more informative than the indicator.
The contrarian angle is simple: the biggest risk in this framework is not that it is false, but that it cannot be falsified. A non-falsifiable indicator is more dangerous than a wrong one because it creates confidence without accountability. Every time the market refuses to crash, ILI appears prescient. Every time a yellow divergence prints and price corrects, it is praised. And if the red divergence fires, the author can claim the model worked—while the investor has already suffered the drawdown. This is not analysis; it is a narrative that protects itself.
Think about who benefits from selling a story of orderly, institutional-led gains. ETF issuers want investors to believe that drawdowns are shallow, because AUM grows in calm water. Corporate treasuries want shareholders to believe their Bitcoin purchases are prudent, not speculative. Consultants and analysts want to sound sophisticated while offering no verifiable edge. The narrative may be true, but it may also be convenient. Whenever an idea becomes that convenient for that many people, I start looking for the exit route.
Worse, 'institutionalisation' has become the market's comfort blanket. It sounds safe. It sounds sophisticated. But institutional flows are not steady hands dipping into a market. They are pension funds, treasuries, hedge funds, and market makers with their own liquidity constraints. A leveraged treasury is not a patient holder; it is a debtor. A delta-neutral desk is not a buyer of last resort; it is an arbitrageur that disappears when basis disappears. The label 'institutional' does not remove cyclicality—it changes who gets hurt when the cycle turns. Historically, the phrase 'this time is different' has been the most expensive sentence in finance. It is being whispered again, inside a private indicator designed by a figure tied to FTX. Noise filtered. Signal preserved. The signal is not 'buy more'; it is 'reduce leverage and trust no black box.'
So what should a thoughtful investor take from the gradual bull thesis? First, keep the observation that delta-neutral institutional flows suppress traditional sentiment indicators. Second, forget the private indicator and watch the public signals that drive it: ETF net flows, mNAV premiums, dollar liquidity, and funding rates. Third, respect the mNAV flywheel as a source of fragility, not strength. Ultimately, the market will find its own way to teach us when the narrative breaks. The goal is to survive that lesson with capital intact. Truth over hype. Always. Trust is the only currency that matters. The last sentence of any reliable cycle analysis is not 'this time is different'—it is 'prepare for the moment when it isn't.'