Cryptocurrency Price Movement Sequences

This dataset provides detailed, time-ordered sequences of price and volume movements for major cryptocurrencies across leading exchanges. Each record includes summary statistics, granular price/volume points, and contextual metadata, making it ideal for quantitative research, algorithmic trading, and anomaly detection in crypto markets.

  • last updated 21 Jul 2025
  • by GoMask
The brief that made it

Backtesting and developing quantitative trading strategies

Sample rows

preview · 8 of 200 rows · all 19 columns
sequence_idstringbase_currencystringprice_openfloatis_anomalousbooleancrypto_symbolstringcrypto_namestringexchange_namestringinterval_minutesintegersequence_start_timedatetimesequence_end_timedatetimeprice_closefloatprice_highfloatprice_lowfloattotal_volumefloatprice_points_countintegerprice_points_valuesstringsequence_labelstringprice_points_timestampsstringprice_points_volumesstring
SEQ00001USD30715.44falseBTCBitcoinBinance152023-07-01T08:00:00Z2023-07-01T08:45:00Z30992.1231030.5230685.223912.67430715.44,30810.11,31030.52,30992.12bullish2023-07-01T08:00:00Z,2023-07-01T08:15:00Z,2023-07-01T08:30:00Z,2023-07-01T08:45:00Z1200.53,950.18,900.44,861.52
SEQ00002USDT1810.41falseETHEthereumKraken102023-06-15T12:30:00+02:002023-06-15T13:10:00+02:001813.931816.221808.217310.2551810.41,1812.88,1816.22,1811.67,1813.93bullish2023-06-15T12:30:00+02:00,2023-06-15T12:40:00+02:00,2023-06-15T12:50:00+02:00,2023-06-15T13:00:00+02:00,2023-06-15T13:10:00+02:001400.04,1360.10,1510.66,1504.02,1535.43
SEQ00003USD1.0003falseUSDTTetherCoinbase52023-07-05T09:00:00-04:002023-07-05T09:25:00-04:001.00071.00071.0002491238.7561.0003,1.0005,1.0006,1.0002,1.0004,1.0007stable2023-07-05T09:00:00-04:00,2023-07-05T09:05:00-04:00,2023-07-05T09:10:00-04:00,2023-07-05T09:15:00-04:00,2023-07-05T09:20:00-04:00,2023-07-05T09:25:00-04:0082004.10,82500.22,82001.44,82008.00,82450.99,82473.99
SEQ00004EUR17.88falseSOLSolanaBitstamp302023-07-03T10:00:00+01:002023-07-03T12:00:00+01:0018.1918.5117.619126.49517.88,18.12,18.51,17.61,18.19recovery2023-07-03T10:00:00+01:00,2023-07-03T10:30:00+01:00,2023-07-03T11:00:00+01:00,2023-07-03T11:30:00+01:00,2023-07-03T12:00:00+01:001840.04,1812.21,1851.33,1809.85,1813.06
SEQ00005USDT0.0631trueDOGEDogecoinGateIO22023-07-02T14:00:00Z2023-07-02T14:10:00Z0.06380.06470.0625541789.1260.0631,0.0647,0.0633,0.0625,0.0635,0.0638volatile2023-07-02T14:00:00Z,2023-07-02T14:02:00Z,2023-07-02T14:04:00Z,2023-07-02T14:06:00Z,2023-07-02T14:08:00Z,2023-07-02T14:10:00Z90300.12,90012.14,90212.15,90401.11,89988.80,90174.80
SEQ00006USD244.11falseBNBBinanceCoinBinance602023-06-21T18:00:00Z2023-06-21T20:00:00Z241.03244.11240.8915732.873244.11,242.33,241.03bearish2023-06-21T18:00:00Z,2023-06-21T19:00:00Z,2023-06-21T20:00:00Z5329.12,5255.97,5147.78
SEQ00007INR62.18falseMATICPolygonWazirX7202023-07-04T01:00:00+05:302023-07-05T01:00:00+05:3064.2164.2161.89182310.14362.18,61.89,64.21breakout2023-07-04T01:00:00+05:30,2023-07-04T13:00:00+05:30,2023-07-05T01:00:00+05:3060154.39,61034.54,61021.21
SEQ00008USD1.0002falseUSDCUSD CoinKraken32023-07-08T11:00:00Z2023-07-08T11:12:00Z1.00011.00041390221.6151.0002,1.0000,1.0004,1.0003,1.0001stable2023-07-08T11:00:00Z,2023-07-08T11:03:00Z,2023-07-08T11:06:00Z,2023-07-08T11:09:00Z,2023-07-08T11:12:00Z78020.44,78012.14,78019.13,78010.12,78059.78

What the 200 rows show

from the 200-row sample

USDT (base currency) stands out: 18 of its 38 rows have is_anomalous = true, against 16 of 157 for the rest.

  • 17%is_anomalous = true
  • 24.2median price_open
  • 10sequence labels
  • 21crypto names
  • 23exchange names
  • 15median interval_minutes
Is anomalous rate by base_currencyis_anomalous = true
0%50%100%12%USD11 of…47%USDT18 of…16%EUR5 of …0%JPY0 of …0%INR0 of 80%BRL0 of 70%GBP0 of 6
price_open195 rows, in bands of 500k
01002001940000000102.5M4.5Mprice_open →

Median 24.2, from 0.00 to 4,238,200.

crypto_symbol195 rows with a value · 5 left blank
  1. BTC29
  2. ETH18
  3. SOL15
  4. UNI14
  5. BNB13
  6. USDT12
  7. AAVE12
  8. DOGE11
  9. MATIC11
  10. SHIB11
19 columns by typefrom the column list below
  • string 9
  • integer 2
  • float 5
  • datetime 2
  • boolean 1

Columns

19 columns in four groups
blueprint · 19 columns
columntypedescriptionexample
Text 9 columns
sequence_idstringUnique identifier for each recorded price movement sequence.uniqueSEQ00001
crypto_symbolstringTicker symbol of the cryptocurrency (e.g., BTC, ETH).BTC
crypto_namestringFull name of the cryptocurrency (e.g., Bitcoin, Ethereum).Bitcoin
base_currencystringThe currency in which the price is quoted (e.g., USD, EUR, USDT).7 currenciesUSD
exchange_namestringName of the exchange where the price data was collected.Binance
price_points_timestampsstringJSON array of ISO 8601 timestamps for each price point in the sequence.2023-07-01T08:00:00Z,2023…
price_points_valuesstringJSON array of price values corresponding to each timestamp in the sequence.244.11,242.33,241.03
price_points_volumesstringJSON array of volume values corresponding to each price point in the sequence.optional5329.12,5255.97,5147.78
sequence_labelstringOptional label or tag for the sequence (e.g., 'bullish', 'bearish', 'volatile').10 labels · optionalbullish
Numbers 7 columns
interval_minutesintegerTime interval in minutes between each price point in the sequence.1 or more15
price_openfloatOpening price at the start of the sequence.0 or more30715.44
price_closefloatClosing price at the end of the sequence.0 or more30992.12
price_highfloatHighest price recorded during the sequence.0 or more31030.52
price_lowfloatLowest price recorded during the sequence.0 or more30685.22
total_volumefloatTotal trading volume during the sequence, in base currency.0 or more3912.67
price_points_countintegerNumber of price points in the sequence.2 or more4
Dates and times 2 columns
sequence_start_timedatetimeTimestamp marking the start of the price movement sequence.2023-07-01T08:00:00Z
sequence_end_timedatetimeTimestamp marking the end of the price movement sequence.2023-07-01T08:45:00Z
True or false 1 column
is_anomalousbooleanIndicates if the sequence contains anomalous or outlier behavior.optionalfalse

Use it for

  • is anomalous17%34 of 195 rowsmean price open by ba…8.2kUSD3.9kUSDT5.1kEUR390.1kJPY

    A finance dashboard

    The is_anomalous rate, price_open by base_currency and a breakdown of crypto_symbol. Excel, Power BI or Tableau.

  • Why do 34 of 195 rows have is_anomalous = true?

    A root-cause class exercise

    Hand out the rows and one question. The answer is in the data, not in the brief.

  • A software demo

    Believable sequences with crypto_symbol, crypto_name and base_currency to fill a screen in front of a buyer.

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blueprint · cryptocurrency-price-movement-sequences

Behind this dataset

Same schema. As many rows as you need.

These 200 rows came out of a blueprint — 19 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Hourly data per cryptocurrency.
  • Open, high, low, close, volume included.
  • Exchange identifier attached.
  • Flag for market anomalies.
Rows
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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
cryptocurrency-price-movement-sequences

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