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week_start
date32
q
int32
ret
float64
n
int32
char
string
eval
string
lag
int32
source
string
calendar
string
2015-04-04
0
-0.288642
11
age
cap1m
0
cg
fri
2015-04-11
0
-0.035007
12
age
cap1m
0
cg
fri
2015-04-18
0
-0.160307
12
age
cap1m
0
cg
fri
2015-04-25
0
-0.091705
12
age
cap1m
0
cg
fri
2015-05-02
0
-0.118622
12
age
cap1m
0
cg
fri
2015-05-09
0
0.177178
11
age
cap1m
0
cg
fri
2015-05-30
0
-0.041516
13
age
cap1m
0
cg
fri
2015-06-06
0
-0.014629
14
age
cap1m
0
cg
fri
2015-06-13
0
-0.056369
14
age
cap1m
0
cg
fri
2015-08-01
0
0.029896
15
age
cap1m
0
cg
fri
2015-08-08
0
-0.016693
16
age
cap1m
0
cg
fri
2015-08-15
0
-0.046562
14
age
cap1m
0
cg
fri
2015-09-05
0
-0.194738
13
age
cap1m
0
cg
fri
2015-09-12
0
-0.10899
13
age
cap1m
0
cg
fri
2015-09-26
0
-0.111917
13
age
cap1m
0
cg
fri
2015-10-03
0
-0.088724
13
age
cap1m
0
cg
fri
2015-10-10
0
-0.184718
13
age
cap1m
0
cg
fri
2015-10-17
0
0.01254
13
age
cap1m
0
cg
fri
2015-10-24
0
0.411562
14
age
cap1m
0
cg
fri
2015-10-31
0
-0.192456
14
age
cap1m
0
cg
fri
2015-11-07
0
0.078107
14
age
cap1m
0
cg
fri
2015-11-14
0
0.107764
14
age
cap1m
0
cg
fri
2015-12-12
0
-0.099029
14
age
cap1m
0
cg
fri
2016-01-02
0
0.059624
15
age
cap1m
0
cg
fri
2016-01-16
0
0.349819
13
age
cap1m
0
cg
fri
2016-01-23
0
0.408731
14
age
cap1m
0
cg
fri
2016-01-30
0
0.038265
17
age
cap1m
0
cg
fri
2016-02-06
0
0.983661
16
age
cap1m
0
cg
fri
2016-02-13
0
-0.307815
17
age
cap1m
0
cg
fri
2016-02-20
0
0.458212
20
age
cap1m
0
cg
fri
2016-02-27
0
0.75365
22
age
cap1m
0
cg
fri
2016-03-05
0
0.198154
20
age
cap1m
0
cg
fri
2016-03-12
0
-0.203313
22
age
cap1m
0
cg
fri
2016-03-19
0
0.026555
21
age
cap1m
0
cg
fri
2016-03-26
0
0.046387
23
age
cap1m
0
cg
fri
2016-04-02
0
-0.117545
25
age
cap1m
0
cg
fri
2016-04-09
0
-0.174664
25
age
cap1m
0
cg
fri
2016-04-16
0
-0.063058
23
age
cap1m
0
cg
fri
2016-04-23
0
-0.153053
23
age
cap1m
0
cg
fri
2016-04-30
0
0.023051
24
age
cap1m
0
cg
fri
2016-05-07
0
0.091644
24
age
cap1m
0
cg
fri
2016-05-14
0
0.386606
23
age
cap1m
0
cg
fri
2016-05-21
0
-0.33922
22
age
cap1m
0
cg
fri
2016-05-28
0
0.090238
22
age
cap1m
0
cg
fri
2016-06-04
0
-0.004863
23
age
cap1m
0
cg
fri
2016-06-11
0
-0.594548
23
age
cap1m
0
cg
fri
2016-06-18
0
0.39512
24
age
cap1m
0
cg
fri
2016-06-25
0
-0.115328
23
age
cap1m
0
cg
fri
2016-07-02
0
0.208363
25
age
cap1m
0
cg
fri
2016-07-09
0
0.641411
27
age
cap1m
0
cg
fri
2016-07-16
0
-0.009099
26
age
cap1m
0
cg
fri
2016-07-23
0
-0.21111
28
age
cap1m
0
cg
fri
2016-07-30
0
0.168642
28
age
cap1m
0
cg
fri
2016-08-06
0
-0.197073
26
age
cap1m
0
cg
fri
2016-08-13
0
-0.041537
29
age
cap1m
0
cg
fri
2016-08-20
0
-0.229913
28
age
cap1m
0
cg
fri
2016-08-27
0
-0.075535
26
age
cap1m
0
cg
fri
2016-09-03
0
-0.053173
28
age
cap1m
0
cg
fri
2016-09-10
0
-0.088861
31
age
cap1m
0
cg
fri
2016-09-17
0
0.053913
32
age
cap1m
0
cg
fri
2016-09-24
0
-0.102217
33
age
cap1m
0
cg
fri
2016-10-01
0
-0.045704
31
age
cap1m
0
cg
fri
2016-10-08
0
-0.213018
31
age
cap1m
0
cg
fri
2016-10-15
0
-0.030754
31
age
cap1m
0
cg
fri
2016-10-22
0
-0.250018
32
age
cap1m
0
cg
fri
2016-10-29
0
0.134098
35
age
cap1m
0
cg
fri
2016-11-05
0
-0.051639
32
age
cap1m
0
cg
fri
2016-11-12
0
-0.130064
27
age
cap1m
0
cg
fri
2016-11-19
0
-0.077436
29
age
cap1m
0
cg
fri
2016-11-26
0
-0.080984
29
age
cap1m
0
cg
fri
2016-12-03
0
-0.013511
26
age
cap1m
0
cg
fri
2016-12-10
0
0.010245
27
age
cap1m
0
cg
fri
2016-12-17
0
0.058443
29
age
cap1m
0
cg
fri
2016-12-24
0
-0.005773
30
age
cap1m
0
cg
fri
2016-12-31
0
0.052533
31
age
cap1m
0
cg
fri
2017-01-07
0
0.061852
34
age
cap1m
0
cg
fri
2017-01-14
0
0.000266
30
age
cap1m
0
cg
fri
2017-01-21
0
-0.022517
32
age
cap1m
0
cg
fri
2017-01-28
0
-0.062314
33
age
cap1m
0
cg
fri
2017-02-04
0
-0.114449
38
age
cap1m
0
cg
fri
2017-02-11
0
-0.047229
39
age
cap1m
0
cg
fri
2017-02-18
0
-0.17493
38
age
cap1m
0
cg
fri
2017-02-25
0
-0.079113
34
age
cap1m
0
cg
fri
2017-03-04
0
0.106213
37
age
cap1m
0
cg
fri
2017-03-11
0
0.264888
36
age
cap1m
0
cg
fri
2017-03-18
0
0.221805
43
age
cap1m
0
cg
fri
2017-03-25
0
0.443024
44
age
cap1m
0
cg
fri
2017-04-08
0
0.141467
52
age
cap1m
0
cg
fri
2017-04-15
0
0.026493
57
age
cap1m
0
cg
fri
2017-04-22
0
0.228791
64
age
cap1m
0
cg
fri
2017-04-29
0
0.017857
65
age
cap1m
0
cg
fri
2017-05-06
0
-0.273194
65
age
cap1m
0
cg
fri
2017-05-13
0
0.007278
70
age
cap1m
0
cg
fri
2017-05-20
0
0.215517
71
age
cap1m
0
cg
fri
2017-05-27
0
0.232722
79
age
cap1m
0
cg
fri
2017-06-03
0
0.196413
78
age
cap1m
0
cg
fri
2017-06-10
0
0.021365
80
age
cap1m
0
cg
fri
2017-06-17
0
0.060895
90
age
cap1m
0
cg
fri
2017-06-24
0
-0.044308
94
age
cap1m
0
cg
fri
2017-07-01
0
-0.063107
95
age
cap1m
0
cg
fri
End of preview. Expand in Data Studio

Open Crypto Pricing

Weekly cryptocurrency risk factors — market (CMKT), size (CSIZE), momentum (CMOM) — from CoinGecko and CoinMarketCap, chosen as the FAIR benchmark for investable crypto portfolios, plus the full specification multiverse and evaluation behind that choice and a crosswalk of both providers' coin identifiers. Website and methodology: https://opencryptopricing.com

Standard series: 2013-12-30 to 2026-10-04 (weekly), updated every Monday.

The standard factor model

ISO weeks (Monday to Sunday, close Sunday 24:00 UTC); coins with previous-week average market cap >= $1M; stablecoins, wrapped/bridged/staked tokens and tokenised traditional assets excluded; value weights (previous-week average cap); terciles; breakpoints from coins >= $100M (all coins assigned); at least 5 coins per leg; no winsorisation.

  • CMKT: value-weighted market return in excess of the 3-month T-bill (RF, 365-day accrual)
  • CSIZE: small minus big (terciles of previous-week average cap)
  • CMOM: winners minus losers (terciles of the return over the previous two weeks)

It gives passive investable portfolios (BTC, ETH, top-N, index replicas) the smallest alphas and prices investable characteristic portfolios best among 249,024 candidate designs; see the methodology page for the evaluation and why it differs from Liu, Tsyvinski & Wu (2022).

Files

  • factors/factors_{cg,cmc}_investable.{csv,parquet}: the standard (CoinGecko is canonical). Columns: week_start, week_end, CMKT, CSIZE, CMOM, RF, n_coins.
  • factors/factors_{cg,cmc}_investable_lag1.*: with a 1-day implementation lag.
  • factors/factors_{cg,cmc}_all.*: same design with all-coin breakpoints (comparison only).
  • factors/daily/factors_{cg,cmc}_investable_daily.* and factors/monthly/..._monthly.*: daily and monthly returns of exactly the standard's weekly portfolios (buy-and-hold within the week; daily returns compound to the weekly series; months are complete calendar months).
  • factors/calendars/factors_{src}_{cal}[_lag1].*: the standard on 8 week calendars (sharp = Liu et al.: Jan 1-7 = week 1; mon..sun = 7-day weeks closing on that weekday).
  • factors/liu/factors_{src}_liu_{all,investable}.*: Liu et al. (2022) exact construction.
  • crosswalk/coin_crosswalk.{csv,parquet}: one row per coin: our id uid (never reused), cmc_id, cg_id (CoinGecko slug), cg_numeric_id, name, symbol; match_confidence = high / medium / low for matched pairs (each confirmed against both providers' prices), cg_only / cmc_only for coins listed by one provider only (pairs still under review are not published as matches); match_basis = evidence used (contract, links, name+symbol, slug, DefiLlama); defillama_check = agrees / disagrees / suggests_pair_we_lack; flags is_stablecoin, is_derived_token, is_tokenized_tradfi. In the CSV files missing values are empty fields.
  • Research vintage 2026-10-07:
    • multiverse/: specification of all 249,024 worlds (Fieberg, Günther, Poddig & Zaremba 2024 decision tree x breakpoint universe x source x calendar, plus Liu-exact worlds), their weekly factors (factors/calendar=*/source=*/, CMKT NOT in excess of RF here), Sharpe ratios and non-standard errors.
    • evaluation/: fairness (passive alphas), pricing (37 characteristic long-shorts), out-of- sample Sharpe per world x model; finalists, bootstrap and spanning tests.
    • test_assets/: 18 passive investable indices and investable characteristic portfolios.

Cleaning (all series)

Positive price, market cap and volume; coin-days worth more than Bitcoin removed; daily reversal filter (>= 300% and net < 50% over two days); daily returns above 1,000% removed; weekly returns only from complete daily data (Fieberg et al. 2024, Sec. 2.3).

Legacy

Files under data/ are from the May 2026 pipeline and are no longer updated.

Citation

Stoeckl, S. and Pukrop, M. (2026). Open Crypto Pricing. University of Liechtenstein. https://opencryptopricing.com. Please also cite Liu, Tsyvinski and Wu (2022), JF 77(2), and Fieberg, Günther, Poddig and Zaremba (2024), IRFA 92.

Licence: CC BY 4.0 (our factor series, multiverse, evaluation and crosswalk). Underlying market data are from CoinGecko and CoinMarketCap and subject to their terms.

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