CoinNudge
Loading market workspace

Which tracked altcoins lost less, or gained, on the same days that Bitcoin fell? · By CoinNudge Research · Method reviewed 2026-09-13 · Guide updated 2026-09-13 · Historical study updated · Observation range: · Calculation historical-evidence-1.2 · Auto-refresh about every 21600 seconds

Altcoin returns on Bitcoin down days: 30-day Binance study

Current answer: As of , using CoinNudge local archive; source and scope stated in each row: 17 of 19 rows pass the full-window gate. First: LSKUSDT; median BTC-down-day excess 1.51 percentage points. Eligible rows require 31 consecutive daily closes and at least five matched BTC-down days. Ranked by median same-day excess return, not guaranteed protection.

Historical study updated

Subscribe to research data · Check a real sample · Get Telegram alerts

Current source-backed snapshot

This study conditions the comparison on Bitcoin's negative daily returns, rather than ranking coins over all market conditions. It reports each eligible altcoin's median return and median same-day excess return on those matched dates. A row requires 31 consecutive daily closes and at least five BTC-down days. Positive excess return means relative resilience, not necessarily an absolute gain. The universe is selected from currently liquid Binance Spot markets, so it cannot represent delisted or historically excluded assets.

Input documentation: Binance Spot candle field documentation · CoinNudge methodology

Observation window: Requested windows and actual coverage are recorded separately

Calculation cadence: Auto-refresh about every 21600 seconds

Calculation version: historical-evidence-1.2

Download current dataset: JSON · CSV Raw values retain the dataset's published precision. Free fair-use limit: 60 requests per minute per IP, shared across all Research JSON and CSV endpoints.

Altcoin returns on Bitcoin down days: 30-day Binance study — CoinNudge live research
Altcoin returns on Bitcoin down days: 30-day Binance study: a current source-backed visual summarizing Actual observation range, Coverage and missingness, Versioned calculation.
MarketCoverageBTC down daysMedian down-day return %Median excess vs BTC ppOutperform days
LSKUSDTeligible130.67901.508410
TRXUSDTeligible130.02951.027610
BNBUSDTeligible13-1.13200.23308
STEEMUSDTeligible13-0.67320.18237
DOGEUSDTeligible13-1.42430.02947
ZECUSDTeligible13-0.7498-0.02486
ETHUSDTeligible13-1.2098-0.07975
NEARUSDTeligible13-1.7304-0.36746
REZUSDTeligible13-0.6529-0.52516
XRPUSDTeligible13-1.8827-0.62263
UNIUSDTeligible13-1.5163-0.68685
SOLUSDTeligible13-1.9338-0.68724
VTHOUSDTeligible13-2.1672-0.77493
THEUSDTeligible13-1.2841-0.98936
HOLOUSDTeligible13-2.1053-1.27582
SUIUSDTeligible13-3.5079-1.56853
PUMPUSDTeligible13-3.0864-2.08983
牛来USDTinsufficient1
MARSCOINUSDTinsufficient4

Actual candle coverage

Requested history is not guaranteed coverage. Missing bars remain counted.

MarketFirst UTCLast UTCAvailable barsExpected barsMissing bars
BTCUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
ETHUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
ZECUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
LSKUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
SOLUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
THEUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
XRPUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
BNBUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
牛来USDT2026-09-09 00:00:00 UTC2026-09-13 00:00:00 UTC43127
HOLOUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
REZUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
NEARUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
SUIUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
UNIUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
VTHOUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
PUMPUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
DOGEUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
MARSCOINUSDT2026-09-04 00:00:00 UTC2026-09-13 00:00:00 UTC93122
STEEMUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310
TRXUSDT2026-08-13 00:00:00 UTC2026-09-13 00:00:00 UTC31310

Observation evidence

First 30 of 221 observations. JSON and CSV contain all published evidence. CSV dataset_section distinguishes summary and observation rows.

symboldaybtc_return_pctasset_return_pctexcess_vs_btc_pctoutperformed_btcasset_first_closeasset_last_closebtc_first_closebtc_last_closesourcecalculation_version
ETHUSDT2026-08-14 00:00:00 UTC-0.7045-0.20940.4951true1886.15001882.200063490.860063043.5600Binance Spothistorical-evidence-1.2
ETHUSDT2026-08-16 00:00:00 UTC-0.2949-0.3527-0.0578false1882.6400187663086.010062900Binance Spothistorical-evidence-1.2
ETHUSDT2026-08-22 00:00:00 UTC-1.6124-3.7237-2.1113false2516.30002422.600078338.030077074.9300Binance Spothistorical-evidence-1.2
ETHUSDT2026-08-25 00:00:00 UTC-0.5742-1.5981-1.0239false2482.31002442.640078992.750078539.1400Binance Spothistorical-evidence-1.2
ETHUSDT2026-08-28 00:00:00 UTC-2.9953-2.71370.2816true2510.94002442.800080249.580077845.8700Binance Spothistorical-evidence-1.2
ETHUSDT2026-08-30 00:00:00 UTC-0.7005-1.6597-0.9592false2457.67002416.88007823077682Binance Spothistorical-evidence-1.2
ETHUSDT2026-09-01 00:00:00 UTC-1.4536-1.9889-0.5353false2467.65002418.570078581.290077439Binance Spothistorical-evidence-1.2
ETHUSDT2026-09-02 00:00:00 UTC-0.1278-1.1019-0.9741false2418.57002391.92007743977340.0100Binance Spothistorical-evidence-1.2
ETHUSDT2026-09-04 00:00:00 UTC-1.9805-2.0602-0.0797false2507.51002455.850081270.370079660.7700Binance Spothistorical-evidence-1.2
ETHUSDT2026-09-07 00:00:00 UTC-1.5307-0.96720.5635true2514.48002490.160080341.830079112.0100Binance Spothistorical-evidence-1.2
ETHUSDT2026-09-08 00:00:00 UTC-0.8295-0.20480.6247true2490.16002485.060079112.010078455.8000Binance Spothistorical-evidence-1.2
ETHUSDT2026-09-09 00:00:00 UTC-0.1904-0.6813-0.4909false2485.06002468.130078455.800078306.4300Binance Spothistorical-evidence-1.2
ETHUSDT2026-09-10 00:00:00 UTC-2.2191-1.20981.0093true2468.13002438.270078306.430076568.7200Binance Spothistorical-evidence-1.2
ZECUSDT2026-08-14 00:00:00 UTC-0.70450.47661.1812true490.9300493.270063490.860063043.5600Binance Spothistorical-evidence-1.2
ZECUSDT2026-08-16 00:00:00 UTC-0.2949-0.3197-0.0248false487.9600486.400063086.010062900Binance Spothistorical-evidence-1.2
ZECUSDT2026-08-22 00:00:00 UTC-1.61249.239110.8515true734.2700802.110078338.030077074.9300Binance Spothistorical-evidence-1.2
ZECUSDT2026-08-25 00:00:00 UTC-0.5742-7.5908-7.0166false830.8700767.800078992.750078539.1400Binance Spothistorical-evidence-1.2
ZECUSDT2026-08-28 00:00:00 UTC-2.9953-1.17901.8163true810800.450080249.580077845.8700Binance Spothistorical-evidence-1.2
ZECUSDT2026-08-30 00:00:00 UTC-0.7005-0.7498-0.0493false841.6000835.29007823077682Binance Spothistorical-evidence-1.2
ZECUSDT2026-09-01 00:00:00 UTC-1.4536-2.1554-0.7018false848.1000829.820078581.290077439Binance Spothistorical-evidence-1.2
ZECUSDT2026-09-02 00:00:00 UTC-0.1278-1.7221-1.5942false829.8200815.53007743977340.0100Binance Spothistorical-evidence-1.2
ZECUSDT2026-09-04 00:00:00 UTC-1.98057.37399.3544true952.69001022.940081270.370079660.7700Binance Spothistorical-evidence-1.2
ZECUSDT2026-09-07 00:00:00 UTC-1.5307-7.1228-5.5921false1227.60001140.160080341.830079112.0100Binance Spothistorical-evidence-1.2
ZECUSDT2026-09-08 00:00:00 UTC-0.82953.30304.1325true1140.16001177.820079112.010078455.8000Binance Spothistorical-evidence-1.2
ZECUSDT2026-09-09 00:00:00 UTC-0.19045.64265.8330true1177.82001244.280078455.800078306.4300Binance Spothistorical-evidence-1.2
ZECUSDT2026-09-10 00:00:00 UTC-2.2191-13.2060-10.9869false1244.28001079.960078306.430076568.7200Binance Spothistorical-evidence-1.2
LSKUSDT2026-08-14 00:00:00 UTC-0.70450.51151.2160true0.07820.078663490.860063043.5600Binance Spothistorical-evidence-1.2
LSKUSDT2026-08-16 00:00:00 UTC-0.29492.37472.6695true0.07580.077663086.010062900Binance Spothistorical-evidence-1.2
LSKUSDT2026-08-22 00:00:00 UTC-1.6124-2.7382-1.1259false0.09130.088878338.030077074.9300Binance Spothistorical-evidence-1.2
LSKUSDT2026-08-25 00:00:00 UTC-0.5742-2.0563-1.4820false0.09240.090578992.750078539.1400Binance Spothistorical-evidence-1.2

Historical reconstruction is not proof of information available then or an executed return.

How to read this page

  • Which tracked altcoins lost less, or gained, on the same days that Bitcoin fell?
  • Current liquid Binance USDT spot selection, matched against BTC on a 30-day calendar.
  • Read actual coverage and missing values before comparing outcomes.
  • Download the evidence; distinguish historical reconstruction from locally recorded events.

What can this page tell you quickly?

Best for
Which tracked altcoins lost less, or gained, on the same days that Bitcoin fell?
Measured scope
Current liquid Binance USDT spot selection, matched against BTC on a 30-day calendar.
Update schedule
Recalculated every six hours; completed-window studies exclude the ongoing UTC day.
Do not infer
No guaranteed trading edge, complete point-in-time history or automatic entitlement to every data family.

Does outperforming Bitcoin mean that a coin made money?

No. An altcoin falling 2% while BTC falls 4% has a positive two-percentage-point excess return but still lost value. Read the median asset return beside the excess statistic to separate protection relative to BTC from an absolute positive result.

Likewise, outperforming on many days does not establish a better compounded outcome. A few large losses can dominate a sequence of small relative wins. This page describes conditional daily behavior, not a portfolio equity curve.

Verify: Binance Spot candle field documentation

Why not use ordinary correlation or beta instead?

Correlation and beta usually summarize both positive and negative benchmark days. A coin may track BTC closely on average yet behave differently specifically during declines. Conditioning on negative BTC days targets the user's downside question directly.

This selection also reduces the number of observations. A quiet month may offer few negative benchmark days, making the estimate unstable. The five-day minimum is a publication threshold for descriptive evidence, not a claim of statistical certainty.

How can this help shortlist further research?

Begin with qualified rows and compare both absolute loss and relative excess. Inspect whether the sample contains severe selloffs or only small down days, then compare current liquidity and the longer-window beta page before interpreting resilience as persistent.

The basket is based on today's surviving liquid markets. Missing or delisted historical constituents are not reconstructed. This survivorship boundary must accompany any use in a report and prevents treating the ranking as an investable historical universe.

How can I audit and cite this measurement?

CheckWhat to verifyWhy it changes interpretation
ScopeCurrent liquid Binance USDT spot selection, matched against BTC on a 30-day calendar.Do not generalize a named sample to the whole crypto market.
FormulaSelect up to 20 current Binance USDT spot markets by descending quote turnover above the shared one-million-dollar liquidity floor, excluding classified non-crypto assets. Add BTC as benchmark. Require 31 consecutive daily closes in the fixed 30-day window. On dates where BTC close-to-close return is negative, compute asset return minus BTC return. Rank eligible rows by the median of paired excess returns; suppress results below five matched down days.A similarly named indicator can use a different convention.
Data timeObservation window versus materialization timeA fresh computation is not necessarily a fresh source observation.
DeliveryPublic evidence versus subscribed Market Events v1Inspect the data catalog before assuming commercial inclusion.

What is measured, and what is not?

Measured claimEvidence on this pageBoundary
Which tracked altcoins lost less, or gained, on the same days that Bitcoin fell?The current table and downloadable rows using downside-resilience.Current liquid Binance USDT spot selection, matched against BTC on a 30-day calendar.
Results can be checked against an explicit computation.Select up to 20 current Binance USDT spot markets by descending quote turnover above the shared one-million-dollar liquidity floor, excluding classified non-crypto assets. Add BTC as benchmark. Require 31 consecutive daily closes in the fixed 30-day window. On dates where BTC close-to-close return is negative, compute asset return minus BTC return. Rank eligible rows by the median of paired excess returns; suppress results below five matched down days.Archive availability and revisions constrain historical reproducibility.

Method and data boundary

Select up to 20 current Binance USDT spot markets by descending quote turnover above the shared one-million-dollar liquidity floor, excluding classified non-crypto assets. Add BTC as benchmark. Require 31 consecutive daily closes in the fixed 30-day window. On dates where BTC close-to-close return is negative, compute asset return minus BTC return. Rank eligible rows by the median of paired excess returns; suppress results below five matched down days.

Current liquid Binance USDT spot selection, matched against BTC on a 30-day calendar. Historical results are descriptive, not executed profits or guaranteed future behavior.

Read the complete CoinNudge methodology

Sources and verification

Frequently asked questions

Which tracked altcoins lost less, or gained, on the same days that Bitcoin fell?

This study conditions the comparison on Bitcoin's negative daily returns, rather than ranking coins over all market conditions. It reports each eligible altcoin's median return and median same-day excess return on those matched dates. A row requires 31 consecutive daily closes and at least five BTC-down days. Positive excess return means relative resilience, not necessarily an absolute gain. The universe is selected from currently liquid Binance Spot markets, so it cannot represent delisted or historically excluded assets.

How often do the numbers change?

A bounded background calculation runs at most every six hours. Look at the actual observation interval as well as the calculation time; missing and pending data are not filled with zero.