Can the Dual Currency Win Strategy Really Weather Bull and Bear Markets? A 6-Year Backtest Provides the Answer

marsbit2026-02-27 tarihinde yayınlandı2026-02-27 tarihinde güncellendi

Özet

"Can the Dual Currency Win (Wheel Strategy) truly weather bull and bear markets? A 6-year backtest (2020-2026) on Bitcoin and Ethereum provides the answer. The study compared two approaches: the 'Standard Rolling Strike' method, which dynamically sells covered calls at 105% of the current spot price, and the 'Fixed Anchor' method, which stubbornly sells calls at the original, higher cost basis after a drop, refusing to sell at a loss. Key findings reveal a significant performance gap. The Standard method, while sacrificing some upside, demonstrated superior risk-adjusted returns. For a 50/50 BTC/ETH portfolio, it achieved a +1347.32% total return with a -49.9% max drawdown and a Sharpe Ratio of 0.983, outperforming both Buy & Hold (+1665.52%, -77.8% drawdown, 0.85 Sharpe) on risk metrics and crushing the Fixed Anchor method (+592.77%, -61.8% drawdown, 0.766 Sharpe). The data shows the Standard strategy's strength lies in its dynamic adjustment mechanism, continuously resetting its strike price to balance income generation with participation in bullish trends. Conversely, the Fixed Anchor strategy's poor performance highlights the costly pitfall of the 'anchoring bias'—the human tendency to fixate on the entry price. This psychological trap cripples the ability to collect meaningful premium during bear markets and causes investors to miss subsequent bull runs when positions are called away at breakeven. The conclusion is clear: discipline and adaptability are far more valua...

Author: Michel Athayde

Can the Dual Currency Win Strategy Really Weather Bull and Bear Markets?

Using real market data from 2020-2026 for backtesting, we discovered:

Even with the same Dual Currency Win strategy, just by changing how the Calls are sold, the final profit difference can be nearly double.

The data tells us the problem isn't the strategy, it's human nature.

In the crypto market, the "Dual Currency Win" (Wheel Strategy) is often seen as a tool for collecting rent through bull and bear markets. But how do different underlying execution logics reshape long-term profit distribution?

To find the truth, we backtested Bitcoin and Ethereum over a complete bull-bear cycle from 2020-2026. In this sample, which includes crashes and an epic bull market, we compared two截然不同的双币赢玩法:

  • Standard Dual Currency Win (Rolling Strike): Follows the market. After taking delivery of the spot asset, each time a Covered Call is sold dynamically at 105% of the current price.

  • Break-even Type Dual Currency Win (Fixed Anchor): Anchors to cost. Once taking delivery at a high price, no matter how far the price falls, it stubbornly sells Calls at the "last delivery strike price," refusing to give up the chips until breaking even.

This is no longer a simple contest of "selling strategy vs. holding spot," but a deep test of "how trading psychology changes long-term profit distribution."

Core Data: Re-evaluating Risk and Return

(Note: Backtest span 2020-2026, Puts priced at 30% annualized, Calls at 25% annualized, 7-day cycles)

Investment Strategy Total Return Annualized (CAGR) Max Drawdown Sharpe Ratio
BTC HODL (Buy & Hold) +1133.73% 51.95% 0.83
BTC Standard (Rolling) +859.43% 45.72% -42.74% 0.929
BTC Break-even (Fixed) +558.81% 36.88% -61.19% 0.783
--- --- --- --- ---
ETH HODL (Buy & Hold) +2197.31% 68.52% -79.30% 0.87
ETH Standard (Rolling) +1835.21% 63.78% -54.27% 0.971
ETH Break-even (Fixed) +626.74% 39.13% -64.87% 0.724
--- --- --- --- ---
50/50 HODL Portfolio +1665.52% 61.30% <极速赛车开奖网em data-index-in-node="0" data-path-to-node="11,9,3,0">-77.80% 0.85
50/50 Standard Portfolio +1347.32% 56.05% -49.90% 0.983
50/50 Break-even Portfolio +592.77% 38.03% -61.80% 0.766

Faced with this real data, we need to re-examine two core propositions in trading.

The Risk-Return Balancing Act of the Standard Dual Currency Win

Many mistakenly believed the standard strategy would severely underperform in bull markets, but the data proves that with just a 5% upside buffer (spot price * 1.05), it exhibits极强的 risk-return balancing ability over a full cycle.

In the 50/50 portfolio, its Sharpe Ratio (0.983) thoroughly crushed buy-and-hold (0.85) and drastically compressed the nearly -78% abysmal drawdown to -49.9%.

Its advantage doesn't come from predicting the market, but from the mechanism of "continuously dynamically raising the strike price."

With every price change, the standard version relentlessly adjusts its target. Rolling本质上是在牛市中不断“重置成本”,而 Fixed Anchor 却是在不断“确认错误”. The standard version sacrifices a极小部分 of potential暴利上限,换取来了平滑资金曲线的巨大战略纵深.

"Anchoring to Cost" is the Most Expensive Psychological Placebo

The most thought-provoking part of the data is the comprehensive failure of the "Break-even (Fixed Anchor)" type. It fell far short of the standard version in both return and drawdown control.

This exposes the most common weakness in human trading psychology: Anchoring Effect. If you took delivery at a high of 60k, and stubbornly hang a Call at 60k when the price drops to 30k, you not only lose the "bleeding stop" ability of option premiums during the long bear market, but also risk having your chips called away at 60k during a V-shaped market reversal, completely missing the subsequent main upward浪.

The break-even strategy seems conservative, but it's actually using time to fight the trend. And in a trend-driven market, time is often on the side of the trend. Obsessing over "not selling at a loss" is ironically the fastest way to perfectly miss out on major cycle红利.

Conclusion

Markets are full of volatility, but data doesn't lie.

In trending assets like Bitcoin and Ethereum, the real risk is not drawdown, but being limited on the upside by your own psychological anchor.

The standard Dual Currency Win tells us:

As long as you keep adjusting dynamically and rolling continuously, a selling strategy can also coexist with the trend.

And the break-even strategy reminds us:

The market won't change direction because of your cost basis.

Discipline is far more important than breaking even.

İlgili Sorular

QWhat is the main finding of the 6-year backtest (2020-2026) comparing the two versions of the Wheel Strategy?

AThe backtest revealed that the standard 'Rolling Strike' version significantly outperformed the 'Fixed Anchor' version, with the performance gap being nearly double in some cases. The key difference lies not in the strategy itself, but in the human psychology of anchoring to a cost basis.

QHow does the 'Rolling Strike' (Standard) version of the Wheel Strategy manage risk and return compared to simply holding the asset (Buy & Hold)?

AThe 'Rolling Strike' version demonstrated superior risk-adjusted returns. For the 50/50 portfolio, it achieved a higher Sharpe Ratio (0.983 vs 0.85 for Buy & Hold) and significantly reduced the maximum drawdown (-49.9% vs -77.8% for Buy & Hold), while still capturing substantial upside.

QWhy did the 'Fixed Anchor' version of the strategy perform poorly in the backtest?

AThe 'Fixed Anchor' strategy performed poorly because it falls victim to the 'anchoring effect' in behavioral finance. By stubbornly selling calls at the original, higher cost basis during a bear market, it loses the ability to collect meaningful premium ('stop the bleeding') and risks having the asset called away at the break-even point, missing out on a subsequent major bull run.

QAccording to the article, what is the most significant risk when investing in trend assets like Bitcoin and Ethereum using such strategies?

AThe most significant risk is not the price drawdown itself, but the psychological limitation of one's upside potential by being anchored to a specific cost price, which can cause an investor to miss out on major market trends.

QWhat is the core lesson about discipline from the article's conclusion?

AThe core lesson is that maintaining discipline by dynamically adjusting and rolling positions (as in the standard version) is far more important than the psychological desire to simply 'break even' on a trade. The market will not change direction based on an individual's cost basis.

İlgili Okumalar

US Government Suddenly Halts Anthropic's Strongest Model, "Quasi-IPO Stock Price" Plunges 3.7% Overnight

U.S. Government Halts Anthropic's Top AI Models, 'Pre-IPO' Price Drops 3.7% On June 12, the U.S. government ordered Anthropic to shut down access to its two most powerful AI models, Claude Fable 5 and Claude Mythos 5, citing national security concerns. The directive, issued by the Department of Commerce, required Anthropic to block access for all foreign nationals, leading the company to disable the models globally for all users. Anthropic strongly opposed the move, arguing the government's basis was a "narrow jailbreak vulnerability" and warning that applying such a standard industry-wide would effectively halt all frontier model deployments. The news impacted Anthropic's implied valuation in speculative markets. The Anthropic perpetual contract on Hyperliquid fell approximately 3.7% to around $1,627, down from highs above $1,800 following the models' release. Unauthorized tokenized products linked to Anthropic on Solana also saw significant declines. The models, launched just days earlier on June 9, represented a major capability leap for Anthropic. Fable 5 was its first public release of a "Mythos"-tier model above its flagship Claude Opus. The shutdown creates an ironic situation for Anthropic, a company founded on "AI safety" principles, and adds uncertainty to its ongoing IPO preparations. The company is actively engaging with regulators to resolve what it calls a "misunderstanding" and restore service.

marsbit15 dk önce

US Government Suddenly Halts Anthropic's Strongest Model, "Quasi-IPO Stock Price" Plunges 3.7% Overnight

marsbit15 dk önce

SpaceX IPO Creates Trillion-Dollar Billionaire: Musk's Wealth Equals Half of Crypto Market

SpaceX's record-breaking IPO has propelled Elon Musk to become the first modern billionaire with a personal net worth exceeding $1 trillion, reaching $1.11 trillion according to Bloomberg. This staggering wealth surpasses the total market capitalization of all cryptocurrencies excluding Bitcoin and equals roughly half of the entire crypto market's value. The milestone highlights extreme wealth concentration and the significant devaluation of the altcoin market, whose total cap has nearly halved since late 2025 as capital flows into large tech stocks. SpaceX's Nasdaq debut saw its valuation hit $2.2 trillion, with shares soaring from a $135 offer price to close at $161. Its first-day trading volume of $85 billion set a new global IPO record. Musk owns 42% of the company. Despite his wealth dwarfing the altcoin sector, Musk maintains deep ties to digital assets. He personally holds Bitcoin, Ethereum, and Dogecoin, while his companies, SpaceX and Tesla, collectively hold over 30,000 Bitcoin, ranking among the top corporate BTC holders globally. His acquisition and integration of financial data tools into X (formerly Twitter) further connect his ecosystem to the markets. Ultimately, Musk's trillion-dollar status underscores the immense wealth controlled by tech founders, though this fortune remains largely tied to volatile stock prices rather than liquid assets.

Foresight News23 dk önce

SpaceX IPO Creates Trillion-Dollar Billionaire: Musk's Wealth Equals Half of Crypto Market

Foresight News23 dk önce

Hardcore First Look | Ocean Embodied Intelligence Company 'Shihang Intelligence' Secures Record-Breaking 1 Billion in Funding, Zhu Xiaohu, Temasek Place Bets

Breaking News | Ocean Embodied Intelligence company "Shihang Intelligent" secures a record-breaking 1 billion RMB (approximately 10 billion yuan) in Series A financing, with investment from Zhu Xiaohu and Temasek. Author: Qiu Xiaofen | Editor: Yuan Silai Ocean Embodied Intelligence company "Shihang Intelligent" has completed its Series A funding round, raising over 1 billion RMB. This marks the largest single funding round in the global marine robotics field to date. Investors include upstream momentum funds from chip companies "Moore Thread" and "Kunlunxin," Singapore's state-owned investment platform Vertex Growth, and listed company Dyneo, among others. Existing investors like GSR Ventures (whose founder Zhu Xiaohu has invested for the fifth time), Vertex Ventures China, Hua Ying Capital, and Long Capital also significantly increased their investments. Founder and CEO Chen Xiaobo, a 1989-born alumnus of Harbin Engineering University, is a long-time expert in underwater robotics. He received the National Defense Science and Technology Progress Award at age 28 (the youngest recipient) and led the development of China's first commercial underwater cleaning robot. The funds will be used for core technology R&D, global market expansion, and building the industry chain ecosystem to scale the application of marine robots in complex underwater scenarios. The ocean is considered one of the most challenging environments for robotics due to low light, high turbidity, complex currents, limited communication, high pressure, and corrosion. "Shihang Intelligent" focuses on developing core underlying technologies for marine robots, covering six key systems: power, control, sensing, navigation, sealing, and deployment. Its robots are capable of operating at depths from 0 to 10,000 meters with full degrees of freedom, performing complex maneuvers, autonomous navigation, and multi-robot collaboration. Applications include ship cleaning, underwater security, offshore wind power, marine ranching, and seabed inspection. The company's order value for the first half of 2026 alone has exceeded 1 billion RMB. Its "Orca Robot" is used by major shipping companies and has performed maintenance on over a thousand large vessels. In April of this year, the company launched its ocean embodied large model "Cangqiong CEORION." Unlike traditional remote-controlled or pre-programmed robots, this model integrates environmental perception, task understanding, and action generation into a single end-to-end architecture. Trained on millions of hours of commercial operation data and simulation data, it covers 12 major underwater operation scenarios. In simulations, it achieved over 90% task success rate and over 70% zero-shot adaptation capability to unseen environments. A built-in physics reasoning module reduces collision risk by 80%, enabling autonomous operation even with weak or no communication. Recently, "Shihang Intelligent" was selected as a core technology partner for Singapore's Maritime and Port Authority national hull inspection and cleaning program. These advancements indicate marine robotics is moving from pilot projects to scaled applications, with real-world operations generating valuable data to continuously improve robot capabilities. CEO Chen Xiaobo stated the company will continue investing in core marine robotics technology, the embodied intelligence model, and global application scenarios to expand into more high-risk, high-difficulty, and high-value underwater operations.

marsbit48 dk önce

Hardcore First Look | Ocean Embodied Intelligence Company 'Shihang Intelligence' Secures Record-Breaking 1 Billion in Funding, Zhu Xiaohu, Temasek Place Bets

marsbit48 dk önce

Three Months, 35 Billion Yuan: Investors Rush to Grab the OpenAI of the Physical World

Investors flock to a physical AI startup as the race for the "OpenAI of the physical world" heats up. Ji Jia Shi Jie (GigaWorld), a company dedicated to developing Artificial General Intelligence (AGI) for the physical world, has raised 3.5 billion RMB (approximately $490 million) in just three months, according to a report from investment media outlet Touzijie. The latest B2 funding round of 1 billion RMB attracted a wide range of top-tier investors, including sovereign wealth funds, industrial capital, and financial institutions. This brings the total funding for the young company, now valued over 10 billion RMB, to 3.5 billion RMB across three recent rounds. The company is led by Huang Guan, a post-90s Tsinghua University PhD with extensive experience in AI, autonomous driving, and entrepreneurship. Its core innovation is a "dual-pyramid" system comprising a five-layer data pyramid (from internet videos to real-world robot data) and a three-layer algorithm pyramid focused on world simulation, action alignment, and reinforcement learning. This system underpins its key models: the "World Action Model" (e.g., GigaBrain series for robot control) and the "World Generation Model" (e.g., GigaWorld series for simulating and understanding the physical world). Its models have reportedly achieved top rankings in global robotics benchmarks. Ji Jia Shi Jie argues that while current digital AGI excels in information processing, the next frontier is physical AGI—systems that can understand and interact with the real world. The company believes the field is approaching its "GPT-3 moment," a key inflection point in capability scaling. To achieve this, the company is pursuing a dual-market strategy. For the consumer (C) market, it launched the "SeeLight" brand and its S1 general-purpose humanoid robot, which has secured initial orders for deployment in real homes. For the business (B) market, it focuses on industrial automation with its Maker series robots, having signed agreements for large-scale deployment in factories, and its DriveDreamer world model for autonomous driving, which is already in use with over 30 automakers and tech companies. The report concludes that by bridging the gap between digital intelligence and physical action, Ji Jia Shi Jie aims to unlock a new wave of productivity, ultimately bringing physical AGI into everyday life.

marsbit1 saat önce

Three Months, 35 Billion Yuan: Investors Rush to Grab the OpenAI of the Physical World

marsbit1 saat önce

What's the Connection Between Pinduoduo's Huang Zheng and Blockchain?

This text explores the unexpected connection between Pinduoduo founder Colin Huang and blockchain, as suggested in his article *Turning Capitalism Upside Down*. Huang argues Pinduoduo's core business is about managing "uncertainty." He posits that wealth flows to the rich because they absorb life's uncertainties (e.g., illness, job loss) that devastate the poor, who pay a premium for certainty through insurance or stable prices. Pinduoduo's model attempts a "reverse insurance": by aggregating consumer demand via group-buying and flash sales, it creates a large, predictable order for manufacturers. This certainty allows factories to remove risk premiums, passing savings back as lower prices, thus partially reversing the wealth flow. The key obstacle, Huang notes, is that an individual's buying intent is an unreliable promise. He then asks if blockchain is the natural solution for this "reverse insurance." The text elaborates that blockchain, through smart contracts with binding deposits, could transform casual intent into a costly-to-break, enforceable commitment. This replaces interpersonal trust with coded rules, making promises credible, pricable, and resistant to fraud. Finally, the author draws a parallel to Bitcoin, framing two paths to creating certainty: the "Pinduoduo path" of aggregating decentralized will into scale, and the "Bitcoin path" of locking rules into immutable code. Both sacrifice something—personal freedom or system flexibility—to manufacture trust and predictability.

链捕手2 saat önce

What's the Connection Between Pinduoduo's Huang Zheng and Blockchain?

链捕手2 saat önce

İşlemler

Spot
Futures
活动图片