Why Only Dollar-Cost Averaging Can Capture Bitcoin's Long-Term Dividends?

marsbitPublished on 2026-03-06Last updated on 2026-03-06

Abstract

The article argues that dollar-cost averaging (DCA) is the optimal strategy for capturing Bitcoin's long-term gains, supported by backtested data and forward-looking models. Historical analysis shows that a weekly DCA investment of $250 in Bitcoin starting in January 2021 would have yielded a 76% return by mid-2026, with significant upside potential at higher price levels. Even shorter-term DCA strategies, while susceptible to short-term drawdowns, show strong performance over time. Comparisons with the S&P 500 indicate that Bitcoin DCA outperforms traditional equity DCA despite higher risk. Long-term projections based on Bitcoin’s power-law growth model suggest substantial returns by 2030, with mid-range estimates around $430,000 per BTC. The key conclusion is that while entry timing affects short-term returns, long-term consistency is the primary driver of wealth accumulation in Bitcoin.

Written by: Cointelegraph

Compiled by: AididiaoJP, Foresight News

Both backtest data and forward-looking models indicate that using a dollar-cost averaging (DCA) strategy to buy Bitcoin is the best way to invest in BTC. Will this method still work in the next bull market?

Bitcoin has experienced a 50% crash over the past 5 months, and savvy investors adjust their strategies during such bear markets and correction periods. This strategy is called dollar-cost averaging (DCA), which involves investing a fixed amount regularly, regardless of market conditions.

By examining historical market cycle data and forward-looking BTC price simulations, we can more clearly see how this steady investment approach performs across different entry times and investment horizons.

Five Years of DCA in Bitcoin Yields Substantial Net Gains

Starting from January 2021, investing $250 weekly in Bitcoin via DCA, the total investment over five years would be $67,500. According to DCA simulation data, this strategy would have accumulated 1.65097905 BTC, with an average purchase price of $40,884.

At Bitcoin's current price of nearly $71,000, this 1.65097905 BTC is worth approximately $120,500, resulting in a profit of $53,000 (a 76% increase). If Bitcoin rises to $100,000, the holdings would be worth about $165,000; and at the cycle peak of around $126,000 in October 2025, the holdings would reach a value of $208,000.

2021-2026 Bitcoin DCA Cycle Source: Newhedge

Now, consider a shorter investment period to see the impact of entry timing on early returns. Starting from January 2024, investing $250 weekly, the total investment would be $28,500, accumulating 0.36863166 BTC with an average purchase price of $77,312.

At the current price of $71,000, these bitcoins are worth approximately $26,909, representing a 6% paper loss. If the price reaches $100,000, the holdings would be worth $36,863; and at the cycle peak of $126,000, the holdings would be valued at $46,448.

In February of this year, Swan Bitcoin analyst Adam Livingston compared on platform X the returns of DCA into BTC versus the S&P 500 over the past five years. Investing $100 weekly, BTC yielded $42,508, while the S&P 500 yielded $37,470, with returns of 62.9% and 43.6% respectively.

Livingston noted that although Bitcoin is highly volatile, historical data shows that persisting with DCA during downturns leads to higher long-term gains.

Weekly $100 DCA: BTC vs. S&P 500 Source: Adam Livingston/X

Long-Term Model: Time is the Key Factor

Forward-looking simulation studies have also tested the effectiveness of DCA starting in 2026. From January 2026, investing $250 weekly until March 2030, the total investment would be approximately $54,250.

The price prediction is based on Bitcoin's long-term power law growth curve (which tracks the relationship between Bitcoin's historical price and time on a logarithmic scale). This model generates a rising support band and a median trendline, which aligns well with previous market cycles.

Bitcoin Power Law Growth Curve Source: Bitbo.io

Based on this model, analysts estimate that the long-term trend support level could break through $100,000 by 2028, which also serves as the foundational assumption for future DCA modeling. Bitcoin Well's simulation shows that by March 2030, the median price projection is approximately $430,000.

Considering potential price deviations, the model also accounts for the upper and lower bounds of the power law channel, providing a lower estimate (around $274,000) and a higher estimate (around $900,000).

Based on these assumptions, four years of DCA would accumulate roughly 0.30 BTC:

  • If BTC price is $274,000, the holdings are worth approximately $82,200.
  • If BTC price is $430,000 (median projection), the holdings are worth approximately $129,000.
  • If BTC price is $900,000, the holdings are worth approximately $270,000.

DCA Investment Results as of March 2030 Source: Bitcoin Well

In November 2025, Bitcoin researcher Sminston With conducted a study using a similar predictive model to test the impact of entry time on long-term returns. The results found that even buying at a price 20% higher than the then price of $94,000 and selling at a price 20% lower than the projected 2035 median price, the remaining holdings after ten years would still yield a profit of nearly 300%.

In this simulation, the final total assets were 7.7 times the initial investment.

The study concluded: Entry timing affects the level of returns, but long-term holding is the key determinant of the magnitude of gains.

Related Questions

QWhat is the main investment strategy discussed in the article for capturing Bitcoin's long-term gains?

AThe main strategy discussed is Dollar-Cost Averaging (DCA), which involves investing a fixed amount of money at regular intervals, regardless of market conditions.

QAccording to the article, how much profit was generated from a 5-year DCA strategy starting in January 2021 with a weekly investment of $250?

AThe 5-year DCA strategy generated a profit of $53,000, representing a 76% return on the initial investment of $67,500.

QWhat model is used to predict Bitcoin's long-term price growth in the article?

AThe article uses Bitcoin's long-term power law growth curve model, which tracks the historical relationship between Bitcoin's price and time on a logarithmic scale to predict future prices.

QHow does the performance of DCA in Bitcoin compare to the S&P 500 over a 5-year period, as mentioned in the article?

AOver a 5-year period, a weekly DCA of $100 in Bitcoin yielded $42,508 (62.9% return), while the same strategy in the S&P 500 yielded $37,470 (43.6% return).

QWhat is the key factor that determines the magnitude of returns in Bitcoin investment, according to the research cited in the article?

AThe key factor is the length of time the investment is held. While entry timing affects the level of returns, long-term holding is crucial for determining the overall magnitude of gains.

Related Reads

The Value Distribution of Stablecoins

**Summary: The Value Distribution of Stablecoins** The article argues that stablecoins are evolving from mere trading tools into broader channels for dollar access. It divides the stablecoin ecosystem into four layers to analyze how value is distributed: 1. **Issuance Layer:** Mints stablecoins, holds reserve assets, and captures the spread between reserve yield and user costs (e.g., Tether, Circle). This layer currently earns the largest profit margin. 2. **Infrastructure Layer:** Connects stablecoins to the traditional financial system, handling fiat on/off-ramps, banking integration, compliance (KYC/AML), and asset management (e.g., Bridge, BVNK). This is the "unglamorous" but critical work, building the essential bridges between crypto and real-world finance. 3. **Acquiring/Distribution Layer:** Integrates stablecoins into merchant systems, manages payment flows, and provides enterprise financial software (e.g., Stripe, Coinbase). They act as the access point for businesses. 4. **Application Layer:** The end-users and businesses that ultimately use stablecoins for payments, settlements, or as a store of value. They benefit from convenience but have little pricing power. The core thesis is that while the issuance layer currently dominates profits, the often-overlooked **infrastructure layer holds significant long-term potential**. The real challenge and barrier to mass adoption is not the on-chain transfer of stablecoins (which is simple), but the complex "last mile" integration into existing business workflows, banking systems, and regulatory frameworks across different countries. Companies in this layer are currently in a "land grab" phase, investing heavily to build networks, secure bank partnerships, and establish compliance pathways. While their position is currently pressured by the profitable issuers above and distribution platforms below, the article suggests that if stablecoins become a default financial rail for businesses, the infrastructure providers who have done the hard work of integration will ultimately gain strong pricing power and become entrenched, essential players.

marsbit5m ago

The Value Distribution of Stablecoins

marsbit5m ago

The Value Distribution of Stablecoins

The Value Distribution of Stablecoins The article argues that stablecoins are evolving from a mere trading tool into a broad "dollar channel." It analyzes the industry's value chain through four layers: 1. **Issuance Layer (e.g., Tether, Circle):** The top layer that mints stablecoins, holds reserve assets, and captures the thickest interest rate spread. 2. **Infrastructure Layer (e.g., Bridge, BVNK):** Connects stablecoins to the traditional financial system, handling critical but complex "dirty work" like fiat on/off-ramps, banking integration, compliance (KYC/AML), and cross-border settlement. 3. **Acquiring/Distribution Layer (e.g., Stripe, Coinbase):** Embeds stablecoins into merchant systems, manages payment flows, and integrates with enterprise software. 4. **Application Layer:** End-users and businesses that ultimately use stablecoins for payments, settlement, or storing value. The author posits that while the issuance layer currently captures the most profit, the most overlooked and potentially critical layer is infrastructure. The core challenge for stablecoin adoption isn't the on-chain transfer (which is simple), but bridging the gap between blockchain and the real-world financial system. This involves solving practical problems for businesses: fiat conversion, reconciliation, tax handling, and user onboarding. Infrastructure companies are currently in a difficult "land-grab" phase—building networks, securing banking relationships, and achieving compliance country-by-country. They face pressure from both the profitable issuance layer above and distribution platforms below. However, the author suggests this layer is building a crucial moat. Once stablecoins become a default business rail, the infrastructure players who have done the hard work of integration may gain significant, durable value and pricing power.

链捕手9m ago

The Value Distribution of Stablecoins

链捕手9m ago

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

Nvidia's recent announcement to issue at least $20 billion in senior notes, despite holding a strong cash position with over $48.6 billion in free cash flow last quarter, is not a sign of financial need. Instead, it represents a strategic move to leverage its high credit rating (recently upgraded to AA by S&P) to secure low-cost, long-term debt. This capital will support long-term AI infrastructure investments, data centers, R&D, supply chain prepayments, and strategic investments, while allowing the company to continue aggressive shareholder returns through stock buybacks and dividends. The decision reflects a mature capital management strategy: using debt to finance long-term growth assets is more efficient and less dilutive to shareholders than equity financing. It signals that Nvidia, like other tech giants (Alphabet, Meta, Amazon), is entering a new phase of heavy AI capital expenditure, shifting from a pure growth story to a story about capital allocation, credit strength, and long-term ecosystem positioning. The key question for investors is whether Nvidia can maintain its high cash flow generation and ensure that returns from these AI investments justify the cost of capital over the long term. The bond issuance amplifies its expansion capabilities but also ties its valuation more closely to the broader AI investment cycle's sustainability and profitability.

marsbit44m ago

Why Is Nvidia Borrowing $20 Billion When It's Not Short of Cash?

marsbit44m ago

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

Liberland's congress has voted to remove Technology Secretary Dorian Stern Vukotić, following a resolution accusing him of attempting to hijack the Liberland.org domain, removing administrative multisig protections, blocking the president from voting, and launching unauthorized tokens. The incident serves as a case study in blockchain governance, highlighting risks that go beyond smart contracts to include control over domains, admin keys, and off-chain authority. For the crypto industry, it underscores the need to scrutinize decentralization claims against operational realities, where a small group can still compromise governance. The story reflects a broader market shift where infrastructure security and governance are becoming as critical as price action. Editorial framing should treat the development as a verified information signal about governance risks, avoiding overstatement of Liberland's legal status and leaving room for follow-up evidence.

bitcoinist1h ago

Liberland Fires Tech Secretary After Alleged Blockchain And Website Takeover Attempt

bitcoinist1h ago

How to Do Research Well: Deliberately Practice the Real Skills That Matter

No one truly teaches you how to do research. You're often given a desk, a pre-selected problem, and vague instructions to "create something new." Consequently, many people reverse-engineer the job based on visible outputs—papers, posts, announcements—learning only how to *appear* like a researcher rather than how to *become* one. True research capability is built from stacking small, trainable skills, nearly all of which can be developed through deliberate practice. **Pick Your Own Problem:** Most researchers absorb problems from advisors or trends, lacking the underlying reasoning. Choosing a problem you genuinely care about, as John Schulman advises, leads to original work. Develop "taste" like a muscle: predict experiment outcomes, guess paper results from methods, and track which findings remain important over time. **Upgrade Your Inputs:** Relying on shared reading lists (arXiv hot lists, filtered group chats) leads to unoriginal conclusions. Undervalued old literature often holds crucial insights (e.g., MoE, LSTM, backpropagation). Richard Sutton's "The Bitter Lesson" or Claude Shannon's 1952 talk on creative thinking are more predictive than lengthy modern surveys. Breadth matters as much as depth: draw from neuroscience, mechanism design, hardware knowledge, and honest statistics. Read papers directly, especially appendices and limitations sections. **Write Everything Down:** As Paul Graham noted, writing exposes flaws in seemingly mature ideas. Writing is the cheapest defense against self-deception. Following Feynman's principle, Darwin programmatically wrote down facts contradicting his theory to combat memory bias. Maintain a detailed log of hypotheses, setups, predictions, results, and updated understandings. Reviewing past logs fosters essential humility.

marsbit2h ago

How to Do Research Well: Deliberately Practice the Real Skills That Matter

marsbit2h ago

Trading

Spot
Futures
活动图片