| Dataset Name | URL | Description |
|---|---|---|
| All Daily News | https://paperswithbacktest.com/datasets/all-daily-news | Daily aggregated financial and macroeconomic news feed. Useful for sentiment analysis and event-driven strategies. |
| Bonds Daily Price | https://paperswithbacktest.com/datasets/bonds-daily-price | Historical daily bond price data across government and corporate bonds. |
| Commodities Daily Price | https://paperswithbacktest.com/datasets/commodities-daily-price | Daily price data for major commodities such as oil, gold, and agricultural products. |
| Cryptocurrencies Daily Price | https://paperswithbacktest.com/datasets/cryptocurrencies-daily-price | Historical daily prices for major cryptocurrencies. |
| ETFs Daily Price | https://paperswithbacktest.com/datasets/etfs-daily-price | Daily closing prices of exchange-traded funds (ETFs) globally. |
| Forex Daily Price | https://paperswithbacktest.com/datasets/forex-daily-price | Daily foreign exchange rates between major and emerging market currencies. |
| Indices Daily Price | https://paperswithbacktest.com/datasets/indices-daily-price | Historical daily prices for global stock market indices. |
| Stocks 1-Min Price | https://paperswithbacktest.com/datasets/stocks-1min-price | Intraday 1-minute price data for major equities. Ideal for high-frequency or intraday backtests. |
| Stocks Daily Price | https://paperswithbacktest.com/datasets/stocks-daily-price | Historical daily stock price dataset covering global exchanges. |
| Stocks Quarterly Balance Sheet | https://paperswithbacktest.com/datasets/stocks-quarterly-balancesheet | Company-level quarterly balance sheet fundamentals. |
| Stocks Quarterly Cash Flow | https://paperswithbacktest.com/datasets/stocks-quarterly-cashflow | Company-level quarterly cash flow statements. |
| Stocks Quarterly Earnings | https://paperswithbacktest.com/datasets/stocks-quarterly-earnings | Quarterly earnings reports and EPS data. |
| Stocks Quarterly Income Statement | https://paperswithbacktest.com/datasets/stocks-quarterly-incomestatement | Quarterly income statements providing revenue, expenses, and profit metrics. |
| Best Alternative Data | https://paperswithbacktest.com/datasets/best-alternative-data | Curated collection of alternative datasets (e.g., sentiment, macro signals, ESG metrics). |
Load daily stock price data for specific symbols using the load_dataset function. The first call retrieves data for Apple and Microsoft. The second call retrieves the same stocks but without price adjustments (adjust=False). The third call loads daily price data for the S&P 500 index:
import pwb_toolbox.datasets as pwb_ds
df = pwb_ds.load_dataset(
"Stocks-Daily-Price",
["AAPL", "MSFT"],
)
df = pwb_ds.load_dataset(
"Stocks-Daily-Price",
["AAPL", "MSFT"],
adjust=False,
)
df = pwb_ds.load_dataset(
"Stocks-Daily-Price",
["sp500"],
)The extend=True argument instructs the function to return an extended historical data using indices, commodities, and bonds data.
import pwb_toolbox.datasets as pwb_ds
df = pwb_ds.load_dataset(
"ETFs-Daily-Price",
["SPY", "IEF"],
extend=True,
)The argument rate_to_price=False specifies that bond yield rates should not be converted to price values in the returned data:
import pwb_toolbox.datasets as pwb_ds
df = pwb_ds.load_dataset(
"Bonds-Daily-Price",
["US10Y"],
rate_to_price=False,
)The argument to_usd=False indicates that the data should not be converted to U.S. dollars, implying that it might be available in another currency.
import pwb_toolbox.datasets as pwb_ds
df = pwb_ds.load_dataset(
"Indices-Daily-Price",
["US10Y"],
to_usd=False,
)