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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'gain_required_pct_to_recover', 'drawdown_pct'}) and 6 missing columns ({'contract_size', 'quote_currency', 'pip_size', 'symbol', 'asset_class', 'unit_step'}).
This happened while the csv dataset builder was generating data using
hf://datasets/eugene9099/position-sizing-data/drawdown-recovery.csv (at revision 203bb2d8f3bb42d83e7b7188c8959f00e3227a87), ['hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/contract-specifications.csv', 'hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/drawdown-recovery.csv', 'hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/losing-streak-equity.csv', 'hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/pip-value-by-lot-size.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1848, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 765, in write_table
self._write_table(pa_table, writer_batch_size=writer_batch_size)
~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 773, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
drawdown_pct: string
gain_required_pct_to_recover: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 558
to
{'symbol': Value('string'), 'asset_class': Value('string'), 'quote_currency': Value('string'), 'pip_size': Value('float64'), 'contract_size': Value('int64'), 'unit_step': Value('float64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1850, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
...<4 lines>...
)
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 2 new columns ({'gain_required_pct_to_recover', 'drawdown_pct'}) and 6 missing columns ({'contract_size', 'quote_currency', 'pip_size', 'symbol', 'asset_class', 'unit_step'}).
This happened while the csv dataset builder was generating data using
hf://datasets/eugene9099/position-sizing-data/drawdown-recovery.csv (at revision 203bb2d8f3bb42d83e7b7188c8959f00e3227a87), ['hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/contract-specifications.csv', 'hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/drawdown-recovery.csv', 'hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/losing-streak-equity.csv', 'hf://datasets/eugene9099/position-sizing-data@203bb2d8f3bb42d83e7b7188c8959f00e3227a87/pip-value-by-lot-size.csv']
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
symbol string | asset_class string | quote_currency string | pip_size float64 | contract_size int64 | unit_step float64 |
|---|---|---|---|---|---|
AUD/USD | forex | USD | 0.0001 | 100,000 | 1,000 |
EUR/USD | forex | USD | 0.0001 | 100,000 | 1,000 |
GBP/USD | forex | USD | 0.0001 | 100,000 | 1,000 |
NZD/USD | forex | USD | 0.0001 | 100,000 | 1,000 |
USD/JPY | forex | JPY | 0.01 | 100,000 | 1,000 |
USD/CHF | forex | CHF | 0.0001 | 100,000 | 1,000 |
USD/CAD | forex | CAD | 0.0001 | 100,000 | 1,000 |
USD/MXN | forex | MXN | 0.0001 | 100,000 | 1,000 |
USD/ZAR | forex | ZAR | 0.0001 | 100,000 | 1,000 |
USD/TRY | forex | TRY | 0.0001 | 100,000 | 1,000 |
USD/SEK | forex | SEK | 0.0001 | 100,000 | 1,000 |
USD/NOK | forex | NOK | 0.0001 | 100,000 | 1,000 |
USD/DKK | forex | DKK | 0.0001 | 100,000 | 1,000 |
USD/PLN | forex | PLN | 0.0001 | 100,000 | 1,000 |
USD/HUF | forex | HUF | 0.0001 | 100,000 | 1,000 |
USD/CZK | forex | CZK | 0.0001 | 100,000 | 1,000 |
USD/SGD | forex | SGD | 0.0001 | 100,000 | 1,000 |
USD/HKD | forex | HKD | 0.0001 | 100,000 | 1,000 |
USD/CNH | forex | CNH | 0.0001 | 100,000 | 1,000 |
USD/THB | forex | THB | 0.0001 | 100,000 | 1,000 |
USD/MYR | forex | MYR | 0.0001 | 100,000 | 1,000 |
USD/PHP | forex | PHP | 0.0001 | 100,000 | 1,000 |
USD/IDR | forex | IDR | 0.0001 | 100,000 | 1,000 |
USD/INR | forex | INR | 0.0001 | 100,000 | 1,000 |
USD/KRW | forex | KRW | 0.0001 | 100,000 | 1,000 |
EUR/JPY | forex | JPY | 0.01 | 100,000 | 1,000 |
GBP/JPY | forex | JPY | 0.01 | 100,000 | 1,000 |
AUD/JPY | forex | JPY | 0.01 | 100,000 | 1,000 |
CAD/JPY | forex | JPY | 0.01 | 100,000 | 1,000 |
CHF/JPY | forex | JPY | 0.01 | 100,000 | 1,000 |
NZD/JPY | forex | JPY | 0.01 | 100,000 | 1,000 |
EUR/GBP | forex | GBP | 0.0001 | 100,000 | 1,000 |
EUR/AUD | forex | AUD | 0.0001 | 100,000 | 1,000 |
EUR/CAD | forex | CAD | 0.0001 | 100,000 | 1,000 |
EUR/CHF | forex | CHF | 0.0001 | 100,000 | 1,000 |
EUR/NZD | forex | NZD | 0.0001 | 100,000 | 1,000 |
EUR/SEK | forex | SEK | 0.0001 | 100,000 | 1,000 |
EUR/NOK | forex | NOK | 0.0001 | 100,000 | 1,000 |
EUR/DKK | forex | DKK | 0.0001 | 100,000 | 1,000 |
EUR/PLN | forex | PLN | 0.0001 | 100,000 | 1,000 |
EUR/TRY | forex | TRY | 0.0001 | 100,000 | 1,000 |
EUR/ZAR | forex | ZAR | 0.0001 | 100,000 | 1,000 |
EUR/MXN | forex | MXN | 0.0001 | 100,000 | 1,000 |
EUR/HUF | forex | HUF | 0.0001 | 100,000 | 1,000 |
EUR/CZK | forex | CZK | 0.0001 | 100,000 | 1,000 |
EUR/SGD | forex | SGD | 0.0001 | 100,000 | 1,000 |
EUR/HKD | forex | HKD | 0.0001 | 100,000 | 1,000 |
GBP/AUD | forex | AUD | 0.0001 | 100,000 | 1,000 |
GBP/CAD | forex | CAD | 0.0001 | 100,000 | 1,000 |
GBP/CHF | forex | CHF | 0.0001 | 100,000 | 1,000 |
GBP/NZD | forex | NZD | 0.0001 | 100,000 | 1,000 |
GBP/SEK | forex | SEK | 0.0001 | 100,000 | 1,000 |
GBP/NOK | forex | NOK | 0.0001 | 100,000 | 1,000 |
GBP/PLN | forex | PLN | 0.0001 | 100,000 | 1,000 |
GBP/ZAR | forex | ZAR | 0.0001 | 100,000 | 1,000 |
GBP/TRY | forex | TRY | 0.0001 | 100,000 | 1,000 |
GBP/SGD | forex | SGD | 0.0001 | 100,000 | 1,000 |
AUD/CAD | forex | CAD | 0.0001 | 100,000 | 1,000 |
AUD/CHF | forex | CHF | 0.0001 | 100,000 | 1,000 |
AUD/NZD | forex | NZD | 0.0001 | 100,000 | 1,000 |
AUD/SGD | forex | SGD | 0.0001 | 100,000 | 1,000 |
AUD/HKD | forex | HKD | 0.0001 | 100,000 | 1,000 |
CAD/CHF | forex | CHF | 0.0001 | 100,000 | 1,000 |
NZD/CAD | forex | CAD | 0.0001 | 100,000 | 1,000 |
NZD/CHF | forex | CHF | 0.0001 | 100,000 | 1,000 |
NZD/SGD | forex | SGD | 0.0001 | 100,000 | 1,000 |
CHF/PLN | forex | PLN | 0.0001 | 100,000 | 1,000 |
XAU/USD | metal | USD | 0.01 | 100 | 1 |
XAG/USD | metal | USD | 0.001 | 5,000 | 1 |
XPT/USD | metal | USD | 0.01 | 100 | 1 |
XPD/USD | metal | USD | 0.01 | 100 | 1 |
WTI/USD | energy | USD | 0.01 | 1,000 | 1 |
BRENT/USD | energy | USD | 0.01 | 1,000 | 1 |
NATGAS/USD | energy | USD | 0.001 | 10,000 | 1 |
US30 | index | USD | 1 | 1 | 1 |
US500 | index | USD | 1 | 1 | 1 |
USTEC | index | USD | 1 | 1 | 1 |
DE40 | index | USD | 1 | 1 | 1 |
UK100 | index | USD | 1 | 1 | 1 |
JP225 | index | USD | 1 | 1 | 1 |
AUS200 | index | USD | 1 | 1 | 1 |
FRA40 | index | USD | 1 | 1 | 1 |
EU50 | index | USD | 1 | 1 | 1 |
SPA35 | index | USD | 1 | 1 | 1 |
HK50 | index | USD | 1 | 1 | 1 |
CHINA50 | index | USD | 1 | 1 | 1 |
BTCUSDT | crypto | USD | 0.01 | 1 | 0.001 |
ETHUSDT | crypto | USD | 0.01 | 1 | 0.001 |
SOLUSDT | crypto | USD | 0.01 | 1 | 0.001 |
XRPUSDT | crypto | USD | 0.01 | 1 | 0.001 |
ADAUSDT | crypto | USD | 0.01 | 1 | 0.001 |
DOGEUSDT | crypto | USD | 0.01 | 1 | 0.001 |
AVAXUSDT | crypto | USD | 0.01 | 1 | 0.001 |
LINKUSDT | crypto | USD | 0.01 | 1 | 0.001 |
DOTUSDT | crypto | USD | 0.01 | 1 | 0.001 |
TONUSDT | crypto | USD | 0.01 | 1 | 0.001 |
LTCUSDT | crypto | USD | 0.01 | 1 | 0.001 |
BCHUSDT | crypto | USD | 0.01 | 1 | 0.001 |
UNIUSDT | crypto | USD | 0.01 | 1 | 0.001 |
ATOMUSDT | crypto | USD | 0.01 | 1 | 0.001 |
End of preview.
Position Sizing Reference Data
Interactive calculator: positionsizetool.com · Source and formulas: GitHub · Citable archive: doi:10.5281/zenodo.22840538 · Packages: PyPI · npm
Four small CSVs behind the question "how many units should I trade?", with the formulas that generate them. No dependencies, no API keys.
Formula
units = (risk_budget - commission) / ((|entry - stop| + spread) x quote_to_account_rate)
Tradable size is that result rounded down to the broker's unit step. Rounding up raises risk without saying so.
Files
| File | Rows | Description |
|---|---|---|
contract-specifications.csv |
131 | Contract size, pip size and unit step per instrument across forex, metals, energies, indices and crypto futures. Columns: symbol, asset_class, quote_currency, pip_size, contract_size, unit_step. |
pip-value-by-lot-size.csv |
4 | Pip value per standard / mini / micro / nano lot on a USD-denominated account, plus the cost of a 20-pip move and of a 1-pip spread. |
losing-streak-equity.csv |
20 | Equity remaining after 1 to 20 consecutive losses at 0.5%, 1% and 2% risk per trade. Generated by remaining = (1 - risk%)^n. |
drawdown-recovery.csv |
12 | Gain required on the reduced balance to return to the original balance, for drawdowns from 5% to 90%. Generated by gain_required = 1 / (1 - drawdown) - 1. |
Provenance
The instrument rows are the built-in defaults of an interactive calculator — typical retail contract specifications, not exchange-published official values. Verify contract size and unit step against your own broker before placing an order. Every other table is computed from the formula stated above, not copied. No price history, no tick data, no returns series.
Worked example
Account 10,000 USD, risk 1% (100 USD), EUR/USD at 1.1000, stop at 1.0980, no spread, no commission:
stop distance = |1.1000 - 1.0980| = 0.0020
units = 100 / 0.0020 = 50,000
unit step = 1,000 -> tradable size = 50,000 (0.50 standard lot)
Cite
YI, JUN (2026). Position sizing reference data and worked arithmetic for forex, stocks and crypto futures [Data set]. Zenodo. https://doi.org/10.5281/zenodo.22840538
Licence
Data files: CC0 1.0 Universal. Code and documentation in the linked repository: MIT.
Not investment advice. Nothing here recommends a trade, a size or a broker.
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