Bitcoin vs Ethereum vs Solana: Which Fits Your Risk Budget?

How do I choose BTC, ETH or SOL without chasing the recent winner?

Choose the constraint first: when you may need the money, how much whole-account loss you can absorb, and whether you want one network or several. The frozen five-allocation study compares historical price paths; it does not assess today’s token valuation, prove a best future asset, or decide how much of your savings should be in crypto.

Read the common 90-, 180- or 365-day horizon that matches your decision, then compare losing-start counts and drawdown before median upside. BTC’s 26/61 losing one-year starts remain relevant even though its median beat the other preset allocations. ETH and SOL can outperform in a dated rally yet bring different downside paths. A money deadline cannot be made safe by picking the recent highest return.

If you cannot tolerate the study’s downside examples, the next step is to reconsider the crypto allocation itself rather than seek a ticker with a higher median. Cash and a no-investment policy are not tested allocation arms here. An investment thesis or custody constraint can override a historical price ranking.

Verify: Common-date BTC ETH SOL results

Does a $1,000 comparison also work for $100, $10,000 or a first purchase?

The experiment’s percentage results scale mathematically with budget only under its fractional-coin and proportional-cost assumptions. A $100 first purchase and a $10,000 order can face different minimum sizes, spreads and fixed withdrawal costs; the $1,000 table does not verify those execution conditions.

For example, the preset 60/30/10 weights translate a $1,000 budget into $600 BTC, $300 ETH and $100 SOL before the stated buy-cost sizing. Those are illustrative weights frozen before analysis, not an optimized recommendation. Holdings drift with prices because this study does not rebalance.

Check minimum order and withdrawal amounts, custody route and size-specific bid/ask depth before translating a row into a trade. If a component cannot be bought at your budget without disproportionate cost, do not pretend the same portfolio was implemented. Purchase timing is a separate DCA-versus-lump-sum task.

Verify: Calculate trading costs at your order size · Separate Bitcoin DCA versus lump-sum experiment

Frozen 90-day comparison: 2026-06-21 to 2026-09-19 UTC

In the frozen 90-day window ending 2026-09-19T00:00:00Z, SOL gained +53.49%, ETH +49.58% and BTC +25.42% after the stated costs; this dated ordering is not a current buying ranking. Each allocation starts with $1,000 and pays 0.15% on each buy and sell. The endpoint uses the September 19 UTC open, not that day's later close; no unfinished September 20 candle enters this edition.

This is one recent observed path, not a long-run average or a forecast. Its start is anchored backwards from the latest common endpoint, rather than selected for a good or bad return. It is not added to the monthly-start pooled statistics below.

Verify: Recent-window results

Frozen 180-day comparison: 2026-03-23 to 2026-09-19 UTC

In the frozen 180-day window ending 2026-09-19T00:00:00Z, SOL gained +30.36%, ETH +26.80% and BTC +18.84% after the stated costs. These gains describe one shared historical path, not the pooled six-month starts or a forecast. Every allocation uses $1,000 and a 0.15% allowance per buy and sell; the endpoint is the September 19 UTC open, not that day's later close.

This is one recent observed path, not a long-run average or a forecast. Its start is anchored backwards from the latest common endpoint, rather than selected for a good or bad return. It is not added to the monthly-start pooled statistics below.

Frozen 365-day comparison: 2025-09-19 to 2026-09-19 UTC

All five allocations lost money in the frozen 365-day window ending 2026-09-19T00:00:00Z: BTC returned −31.12%, ETH −43.23% and SOL −54.59% after the stated costs. The positive shorter-window exhibits therefore did not establish a profitable one-year outcome. Each $1,000 allocation pays 0.15% per buy and sell; the endpoint uses the September 19 UTC open, not that day's later close.

This is one recent observed path, not a long-run average or a forecast. Its start is anchored backwards from the latest common endpoint, rather than selected for a good or bad return. It is not added to the monthly-start pooled statistics below.

Should I buy Bitcoin, Ethereum, Solana or split my crypto budget?

In 61 common one-year starting dates, Bitcoin had the highest median net return of the five fixed allocations: +37.57%. SOL had much larger upside outliers but a -94.15% worst one-year outcome. The 60/30/10 BTC/ETH/SOL mix returned +27.06% at the median and did not remove severe drawdowns. This is a comparison of historical trade-offs—not a recommendation to put your savings into crypto.

For a $1,000 crypto-only budget, the useful choice is not which ticker could rise most. It is which loss path you could actually tolerate. Capital needed for living costs or emergencies is outside this experiment; none of these portfolios is a capital-protection product.

Each row uses the same starting dates, 365-day holding period, no leverage, no rebalancing and a 0.15% allowance on each buy and sell. A median ending value and a worst ending value describe different starts, not a single forecast range.

Does the answer change if you hold for 90 days or six months?

Yes. A one-year comparison cannot answer a three-month cash need. Shorter windows contain different mature start dates and show a different ordering. We publish all three horizons instead of choosing whichever makes one coin look best.

The return below is after the same cost assumptions. Drawdown is the largest fall from a prior account peak along daily sampled marks, not just the loss at the final date. Intraday drawdowns may be worse.

Why SOL’s enormous average is not a normal expected outcome

SOL’s mean one-year return was +839.12% while its median was +14.89%. The largest observed return was +12929.83%. Early low-price starting dates and a very large rally can dominate an arithmetic average, even though many later entrants lost money.

The three selected assets survived and became major markets. This is intentionally a named-asset comparison, not evidence that a randomly selected early altcoin would behave like SOL. Neither its strongest year nor Bitcoin’s median is a forecast.

BTC, ETH or SOL: what decision does each comparison support?

If your priority is reducing the historical drawdown among these tested crypto allocations, compare the BTC row first. If you want exposure to smart-contract networks, compare how adding ETH and SOL changes your downside and concentration—not only the return column. This study does not price network fundamentals, future adoption or token valuation.

A mix can reduce exposure to one protocol without protecting you from a crypto-wide decline. The 60/30/10 weights are a preset example, not the weights optimized to win this sample. The holdings drift as prices move because we do not rebalance.

Whether to spread your purchase over time is a separate decision. This experiment invests immediately at every prescribed start; our DCA-versus-lump-sum study tests purchase timing.

Verify: Separate decision: DCA or lump sum · Current market context

Should a first-time buyer choose Bitcoin, Ethereum, Solana or a mix?

Begin with the money's purpose and time horizon, not with the asset that won the most recent 90 days. In the common 61 one-year starts, BTC had the highest median among the five preset allocations, while SOL's largest historical upside coexisted with a -94.15% worst one-year result. Those two numbers describe different parts of the outcome distribution; neither says which asset will win next.

If the money has a short, fixed spending date, inspect the 90-day and 180-day losing-start and drawdown rows before considering any crypto allocation. If you are comparing long-horizon protocol exposure, compare the 365-day downside paths and accept that a BTC/ETH/SOL mix still shares broad crypto-market risk. The study has no cash or no-investment policy arm, so it cannot prove that buying any of the three is better than holding cash.

The fixed 60/30/10 mix is an example, not an optimized allocation. Splitting a $1,000 test into three tokens changes concentration, but the study neither includes staking yields nor models taxes, custody failure or future regulation. A first purchase needs a loss budget and a custody plan outside this return table.

Verify: Bitcoin DCA versus lump-sum timing study · Current crypto market breadth and risk context

2021-12-01: a weak BTC starting point, all allocations compared

The weak BTC-start example shows why a mixed BTC/ETH/SOL portfolio must still be checked for broad market drawdown. The common 2021-12-01 start was selected retrospectively by the BTC one-year result, not by an entry rule. All allocations share the same $1,000 budget and one-year horizon.

Top: single-coin ending-value paths. Middle: BTC versus the two mixed allocations. Bottom: running drawdown of BTC and the three-coin mix. The mix does not receive extra deposits or a hindsight rebalance.

The retained chart ends with about $300.51 for BTC, $278.73 for ETH, $67.75 for SOL and $270.70 for the 60/30/10 mix. Every alternative lost most of its initial budget on this specific path; adding names did not protect the account. The mix’s plotted running drawdown reached about −75.86%. These are rounded values from this chart’s frozen coordinate file, not new cohort statistics.

2024-03-01: a middle BTC starting point, all allocations compared

The middle BTC-start example shows how the same entry date can produce different allocation paths without identifying a best future coin. The common 2024-03-01 start was selected retrospectively by the BTC one-year result; all five allocations share the $1,000 budget and holding horizon.

Top: single-coin ending-value paths. Middle: BTC versus the two mixed allocations. Bottom: running drawdown of BTC and the three-coin mix. The mix does not receive extra deposits or a hindsight rebalance.

The retained chart ends with about $1,375.69 for BTC versus $667.91 for ETH, $1,175.49 for SOL and $1,143.34 for the 60/30/10 mix. BTC’s plotted running drawdown still reached about −26.15% while the mix reached −31.33%. A positive ending value does not mean a smooth path or that spreading holdings reduced this start’s downside. Values are rounded from the original chart coordinates.

2020-11-01: a strong BTC starting point, all allocations compared

The strong BTC-start example illustrates opportunity cost alongside the weak and middle paths, not an entry pattern to copy. The common 2020-11-01 start was selected retrospectively by the BTC one-year result; every allocation uses the same $1,000 and one-year horizon.

Top: single-coin ending-value paths. Middle: BTC versus the two mixed allocations. Bottom: running drawdown of BTC and the three-coin mix. The mix does not receive extra deposits or a hindsight rebalance.

The retained chart ends with about $4,431.60 for BTC and $19,007.27 for the 60/30/10 mix; SOL’s exceptionally large path drives much of that difference. Yet the mix’s plotted running drawdown reached about −51.08% and BTC’s about −53.14%. This extreme retrospective winner shows why final upside and survivable drawdown must be read together; it does not justify expecting the same multiple again. Values are rounded from the original chart coordinates.

How much should you trust 61 overlapping one-year starts?

Monthly one-year windows share most of their prices. Sixty-one rows are not sixty-one independent years. As a sensitivity check, we also retain the earliest eligible start and each next start at least 365 days later. This sharply reduces the independent-looking sample, and even these periods belong to one market history.

The table below is a descriptive check, not a statistical confidence interval. Full exports also contain 0.05%, 0.15% and 0.30% each-side cost scenarios. Staking, lending, taxes, spreads beyond the allowance and exchange failure are not included.

Would staking or rebalancing change which BTC ETH SOL mix looks best?

Yes: adding staking, repeated rebalancing or a new weight changes the tested policy. The published allocations are unleveraged spot holdings with no rebalancing and no staking; their results cannot be relabelled as the performance of a yield-bearing or daily-rebalanced portfolio.

Staking adds reward, lock-up, custody and protocol conditions that price-only returns do not measure. Rebalancing sells and buys to restore weights, adding turnover costs and changing market exposure. The separate diversification report uses fixed daily-rebalanced weights, so its risk statistics answer a different question from this buy-and-hold allocation comparison.

Before comparing an alternative, freeze its weight schedule, reward treatment, available exit timing and costs, then use the same eligible dates. Until such a comparison exists, record staking or rebalancing as outside this result rather than assume it improves the historical winner.

Verify: Understand daily-rebalanced BTC ETH SOL portfolio risk

Methods, field definitions and reproducible evidence

Monthly first-day UTC opens; shared BTCUSDT/ETHUSDT/SOLUSDT daily Binance spot coverage from 2020-09-01T00:00:00Z through the last available open 2026-09-19T00:00:00Z. Hold 90/180/365 days. For starting weight w and entry price P, quantity=w/[P×(1+c)]. Ending value=sum(quantity×terminal open×(1−c)); net return=ending value−1. No rebalancing. Daily close marks plus terminal open give sampled drawdown against starting capital one.

One observation is one common entry date × horizon × allocation × cost assumption. Every asset must have the complete path even for a single-coin comparison, keeping the dates comparable. Candidate starts record pending and missing states. Net-return fractions are not percent units: 0.10 means +10%. Budget scaling assumes fractional coins and ignores minimum-order/fixed-withdrawal effects.

All displayed percentages are historical descriptions, not calibrated probabilities of your next trade. Starts overlap and assets share market shocks. Counts are not independent trials; no causal effect, statistical significance or execution guarantee is claimed. Missing and pending outcomes remain separate from zero. Inputs were acquired retrospectively, not preserved as real-time investment knowledge.

The complete files load only when you choose a download. Download spot.json.gz and derivatives.json into one folder, save four_decision_studies.py, then run: python four_decision_studies.py INPUT_FOLDER OUTPUT_FOLDER. Python standard library only; no exchange key or live trading is used. The input directory contains 591 discovered target markets, not 591 complete markets for every analysis. Per-market coverage and per-window eligibility are published.

JSON carries original float precision; CSV contains the same observation fields. UTC timestamps, missing values, cost scenarios and model variants must be retained when reproducing a table. Hashes protect this frozen edition against accidental changes; they do not prove economic completeness.

Verify: Full study JSON · Observation CSV · Summary CSV · Candidate and missing ledger · Daily source bundle · about 19 MB gzip · Hourly derivative inputs · about 5 MB · Per-market daily coverage · Reproduction program · Preset protocol · Hashes and source coverage · Chart coordinates

Frequently asked questions

Sources and verification

• Binance public-data documentationPrimary data format and checksum documentation; our simulation is not a Binance trading record.
• Binance spot market-data fieldsDaily OHLCV; candles are not execution, order-book or personal cost-basis evidence.

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