pages.histdata.features.card1Title
pages.histdata.features.card1Desc
pages.histdata.hero.badge
pages.histdata.hero.title
pages.histdata.hero.subtitle
Python 3.10+Apache ParquetzstdMIT License66 Pairs
$ pip install git+https://github.com/StratCraftsAI/histdata.git
$ histdata --pairs EURUSD GBPUSD --year-start 2020 --year-end 2025
Downloading EURUSD 2020... OK
Downloading EURUSD 2021... OK
Downloading GBPUSD 2020... OK
...
✓ 12 Parquet files written to ./output/
pages.histdata.features.title
pages.histdata.features.subtitle
pages.histdata.features.card2Title
pages.histdata.features.card2Desc
pages.histdata.features.card3Title
pages.histdata.features.card3Desc
pages.histdata.features.card4Title
pages.histdata.features.card4Desc
pages.histdata.features.card5Title
pages.histdata.features.card5Desc
pages.histdata.features.card6Title
pages.histdata.features.card6Desc
pages.histdata.pipeline.title
pages.histdata.pipeline.subtitle
1
pages.histdata.pipeline.step1
→
2
pages.histdata.pipeline.step2
→
3
pages.histdata.pipeline.step3
→
4
pages.histdata.pipeline.step4
histdata.com → ZIP (CSV) → list[OHLCVRow] → Parquet (zstd)pages.histdata.pairs.title
pages.histdata.pairs.subtitle
pages.histdata.pairs.forexTitle 23
pages.histdata.pairs.majors
EURUSDGBPUSDUSDJPYUSDCHFUSDCADAUDUSDNZDUSDpages.histdata.pairs.crosses
EURAUDEURCADEURCHFEURGBPEURNZDGBPAUDGBPCADGBPCHFGBPNZDAUDNZDpages.histdata.pairs.jpyCrosses
AUDJPYCADJPYCHFJPYEURJPYGBPJPYNZDJPYpages.histdata.pairs.commoditiesTitle 2
BCOUSDBrent Crude Oil
WTIUSDWTI Crude Oil
pages.histdata.pairs.indicesTitle 9
AUXAUDASX 200
FRXEURCAC 40
GRXEURDAX 30
HKXHKDHang Seng
JPXJPYNikkei 225
NSXUSDNASDAQ 100
SPXUSDS&P 500
UDXUSDUS Dollar Index
UKXGBPFTSE 100
pages.histdata.schema.title
pages.histdata.schema.subtitle
| pages.histdata.schema.colName | pages.histdata.schema.colType | pages.histdata.schema.colDesc |
|---|---|---|
| timestamp | timestamp[ms] | Bar open time (EST) |
| open | float64 | Open price |
| high | float64 | High price |
| low | float64 | Low price |
| close | float64 | Close price |
| volume | float64 | Tick volume |
pages.histdata.schema.sourceLabelhistdata.com — pages.histdata.schema.sourceDesc
pages.histdata.schema.tzLabelEST (UTC-5, pages.histdata.schema.tzDesc)
pages.histdata.schema.compressionLabelApache Parquet + zstd
pages.histdata.quickstart.title
pages.histdata.quickstart.subtitle
pages.histdata.quickstart.installTitle
pip install git+https://github.com/StratCraftsAI/histdata.gitpages.histdata.quickstart.basicTitle
# Download EURUSD 2020-2025 and convert to Parquet
histdata --pairs EURUSD --year-start 2020 --year-end 2025
# Multiple pairs
histdata --pairs EURUSD GBPUSD USDJPY --year-start 2015 --year-end 2025
# All 66 pairs
histdata --pairs all --year-start 2020 --year-end 2025pages.histdata.quickstart.pythonTitle
import pandas as pd
df = pd.read_parquet("output/EURUSD_M1.parquet")
print(df.head())
# timestamp open high low close volume
# 0 2023-01-02 17:00:00 1.07045 1.07048 1.07045 1.07048 0.0pages.histdata.faq.title
pages.histdata.faq.q1
pages.histdata.faq.a1
pages.histdata.faq.q2
pages.histdata.faq.a2
pages.histdata.faq.q3
pages.histdata.faq.a3
pages.histdata.faq.q4
pages.histdata.faq.a4
pages.histdata.faq.q5
pages.histdata.faq.a5
pages.histdata.cta.title
pages.histdata.cta.subtitle