TechFlowPost has published a market analysis arguing that the 2025–26 crypto downturn should be approached with a process built around capital preservation, stable yield and staged deployment, rather than attempts to call the exact bottom.
The article, written by Stacy Muur and translated by AididiaoJP for Foresight News, says the harshest feature of a bear market is not only falling prices. In the author’s view, bear markets punish weak strategy and leverage first. Her stated goal is to offer a repeatable playbook grounded in on-chain data and past cycle behavior, with the aim of protecting principal, building optionality through relatively stable returns and entering risk assets from stronger positions.
What past cycles show
The piece starts with a three-cycle comparison.
In 2018, Bitcoin fell from about $19,000 to roughly $3,600, a drawdown of more than 80%. According to the article, buyers who entered near the bottom saw returns of about 192% one year later.
For 2022, the author describes a cycle shaped by governance and credit stress. Bitcoin dropped from close to $69,000 to around $16,500, a drawdown of about 77%. The contagion linked to the FTX collapse pushed roughly 1.2 million BTC into realized loss, and those who bought at the bottom saw about 127% in returns over the following year.
The 2025–26 cycle, the article says, looks different. It lists a peak of about $124,800 and a low of $58,115, for a 53.43% drawdown, the shallowest on record. So far, this cycle has lasted about 267 days. Supply in loss has reached 72.4%, equal to about 10.74 million BTC underwater, while the MVRV Z-Score fell to around 0.24.
The author’s reading is that structural risk is lower than it was in 2022 because systemic contagion is more limited, but the market can still move through a capitulation phase, where both danger and opportunity become concentrated.
Keep dry powder in stablecoins and earn yield
The first tactical point is to hold core dry powder in stablecoins instead of leaving capital idle.
The article argues that the longer a bear market lasts, the more opportunity cost matters. It puts current target yields for stablecoin lending at about 5% to 10% APY, while Bitcoin liquid staking yield is placed at roughly 4.5% to 5.5%.
In practice, the suggested setup is to place a base allocation in USDC or USDT according to one’s own risk tolerance, using lending venues and custodians with provable reserves. Yield generated there can then be recycled into a recurring accumulation plan.
The article gives a simple example: placing $50,000 into stablecoins at a 7.5% annual yield would produce about $3,750 over a year that could be redeployed. The author presents this as a compounding engine that compares favorably with holding BTC idle at zero yield.
Replace bottom calling with a rules-based plan
The second pillar is to move away from guessing the bottom and toward a structured entry process built on dollar-cost averaging and accumulator windows.
The article says precise bottom buying is nearly impossible. Dollar-cost averaging helps smooth entry risk, while concentrated accumulator-style windows have outperformed pure DCA in backtests over the long run. The figures cited are 10% outperformance for a three-month accumulator, 13% for six months and 26% for 12 months.
The proposed execution framework is to define a base DCA rhythm, such as weekly or biweekly, and hold back part of the capital for deployment during statistically extreme drawdowns. The author also points to a three-part split for multi-asset positioning: deploy one-third now, one-third through DCA and keep one-third for deeper pullbacks.
To illustrate why process matters, the article returns to 2022. Buyers at the $16,500 low captured about 127% in rebound over the next year, but only if they had first made it through a period of contagion risk. In the author’s framing, a process helps avoid turning market entry into an all-or-nothing bet.
Use diversified, lower cycle-risk yield strategies
Beyond stablecoin income and staged buying, the article recommends diversified yield strategies described as “meta vaults.”
The argument is that any single source of yield can break down or compress. The piece cites Ethena’s USDe as an example of a product whose return profile depends heavily on funding rates. By contrast, a meta-vault structure can spread exposure across strategies and rebalance automatically, reducing exposure to one specific cycle regime.
The examples named in the article include institutional-style vaults such as Lombard Bitcoin Earn and Bybit Mantle Vault, as well as diversified lending pools that disclose transparent risk metrics. The target is to draw yield from several channels at once, including lending, tokenized Treasuries and liquid staking.
Avoid leverage unless liquidation risk is fully understood
The article takes a hard line on leverage and off-exchange financing arbitrage. Its message is simple: stay away unless liquidation mechanics are fully understood.
According to the author, leveraged traders were among the biggest losers in both 2018 and 2022 because forced liquidations can trigger cascading moves. She adds that even if market infrastructure today reduces systemic contagion, leverage still amplifies downside volatility.
If leverage is used at all, the article says positions should remain conservative and margin buffers should be stress-tested against realistic drawdowns in advance.
Use on-chain signals to tilt allocation, not to time perfectly
The article says on-chain indicators are better suited to adjusting portfolio bias than to identifying an exact turning point.
The signals highlighted are MVRV Z-Score, supply in loss, and the divergence between short-term and long-term holder cost basis. It states that current readings include an MVRV Z-Score of about 1.24 and supply in loss at around 41%. It also cites CryptoQuant data showing the short-term holder cost basis at about $69,000 in July 2026.
The author’s interpretation is that MVRV convergence together with a peak in realized losses has often marked the end of capitulation in past cycles. When those signals line up, she says she speeds up deployment. At present, the indicators point to maximum pain but not full convergence, which in her view supports sticking with the process rather than going all in.
Risks and execution checklist
The article lists several ways the approach can go wrong.
- Yield compression: returns can reverse under stress. The response proposed is to favor diversified yield and tokenized Treasuries over strategies tied to a single funding-rate regime.
- Regulatory shock: some legislation could target yield-bearing products. The article says investors should prioritize compliant stablecoins and Bitcoin, citing a Benchmark report from January 2026 that said Bitcoin’s commodity status was becoming clearer.
- Macro extension: pressure from the US dollar index or interest rates could prolong the bear market. The suggested response is to stretch the DCA window and keep a larger stablecoin buffer.
It also lays out a concrete checklist:
- Keep a stablecoin reserve equal to X months of planned accumulation and place it in vetted lending markets or meta-vaults.
- Set the pace and size of DCA, while reserving one-third for accumulator windows. The article says backtests show meaningful excess return versus pure DCA.
- Keep leverage on core positions below 2x and document margin buffer levels.
- Track MVRV, supply in loss via CryptoQuant and ETF flows on an ongoing basis. If MVRV converges and realized losses peak, speed up deployment.
The concluding view
The author says she sees the 2025–26 bear market as more of an infrastructure-driven correction than a systemic collapse like 2022. In that reading, tail risk is lower, but the window for buying at deep discounts is also narrower.
Her conclusion is that the historically durable approach still holds: preserve liquidity, earn diversified yield and follow a disciplined accumulation process. She adds that DeFi yield opportunities and stronger custody arrangements make that setup more effective in the current cycle.
The biggest mistakes, in her view, are treating yield as a risk-free free lunch and applying past maximum drawdowns mechanically to estimate this cycle’s downside limit. The timing signals she watches are MVRV convergence, peaks in realized losses and ETF flows. Those, she argues, are the markers for shifting from steady DCA to faster accumulation.
The final message of the article is that compounding during a bear market should be driven by math and on-chain evidence, not hope.