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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 19 new columns ({'change_from_open', 'current_networth_cr', 'total_pchange', 'overnight_gap', 'day_low', 'date', 'shares_outstanding', 'overnight_gap_pct', 'networth_change_cr', 'today_open', 'current_ltp', 'prev_close_networth_cr', 'previous_day_close', 'today_volume', 'today_turnover_cr', 'today_open_networth_cr', 'total_change', 'day_high', 'updated_at'}) and 10 missing columns ({'atp', 'volume', 'ltp', 'total_buy_qty', 'change', 'timestamp', 'datetime', 'pchange', 'order_flow_ratio', 'total_sell_qty'}).
This happened while the csv dataset builder was generating data using
hf://datasets/xion1960/nifty50-market-data/csv/2026-10-27/nifty50_base_prices_2026-10-27.csv (at revision 58bde89ee1c4aac936d5aab31159c9fcff945e5c), ['hf://datasets/xion1960/nifty50-market-data@58bde89ee1c4aac936d5aab31159c9fcff945e5c/csv/2026-10-27/latest_ticks_summary_2026-10-27.csv', 'hf://datasets/xion1960/nifty50-market-data@58bde89ee1c4aac936d5aab31159c9fcff945e5c/csv/2026-10-27/nifty50_base_prices_2026-10-27.csv', 'hf://datasets/xion1960/nifty50-market-data@58bde89ee1c4aac936d5aab31159c9fcff945e5c/csv/2026-10-27/option_chains_2026-10-27.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 1856, in _prepare_split_single
writer.write_table(table)
~~~~~~~~~~~~~~~~~~^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/arrow_writer.py", line 811, 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 822, in _write_table
pa_table = table_cast(pa_table, self._schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: int64
date: string
symbol: string
instrument_key: string
shares_outstanding: int64
previous_day_close: double
today_open: double
overnight_gap: double
overnight_gap_pct: double
current_ltp: double
total_change: double
total_pchange: double
change_from_open: double
day_high: double
day_low: double
today_volume: int64
today_turnover_cr: double
prev_close_networth_cr: double
today_open_networth_cr: double
current_networth_cr: double
networth_change_cr: double
updated_at: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3062
to
{'id': Value('int64'), 'timestamp': Value('int64'), 'datetime': Value('string'), 'symbol': Value('string'), 'instrument_key': Value('string'), 'ltp': Value('float64'), 'change': Value('float64'), 'pchange': Value('float64'), 'volume': Value('int64'), 'atp': Value('float64'), 'total_buy_qty': Value('float64'), 'total_sell_qty': Value('float64'), 'order_flow_ratio': 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 1379, 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 956, 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 1702, 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 1858, 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 19 new columns ({'change_from_open', 'current_networth_cr', 'total_pchange', 'overnight_gap', 'day_low', 'date', 'shares_outstanding', 'overnight_gap_pct', 'networth_change_cr', 'today_open', 'current_ltp', 'prev_close_networth_cr', 'previous_day_close', 'today_volume', 'today_turnover_cr', 'today_open_networth_cr', 'total_change', 'day_high', 'updated_at'}) and 10 missing columns ({'atp', 'volume', 'ltp', 'total_buy_qty', 'change', 'timestamp', 'datetime', 'pchange', 'order_flow_ratio', 'total_sell_qty'}).
This happened while the csv dataset builder was generating data using
hf://datasets/xion1960/nifty50-market-data/csv/2026-10-27/nifty50_base_prices_2026-10-27.csv (at revision 58bde89ee1c4aac936d5aab31159c9fcff945e5c), ['hf://datasets/xion1960/nifty50-market-data@58bde89ee1c4aac936d5aab31159c9fcff945e5c/csv/2026-10-27/latest_ticks_summary_2026-10-27.csv', 'hf://datasets/xion1960/nifty50-market-data@58bde89ee1c4aac936d5aab31159c9fcff945e5c/csv/2026-10-27/nifty50_base_prices_2026-10-27.csv', 'hf://datasets/xion1960/nifty50-market-data@58bde89ee1c4aac936d5aab31159c9fcff945e5c/csv/2026-10-27/option_chains_2026-10-27.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.
id int64 | timestamp int64 | datetime string | symbol string | instrument_key string | ltp float64 | change float64 | pchange float64 | volume int64 | atp float64 | total_buy_qty float64 | total_sell_qty float64 | order_flow_ratio float64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ADANIENT | NSE_EQ|INE423A01024 | 2,493.6 | -14.4 | -0.57 | 421,945 | 2,501.53 | 103,357 | 87,309 | 1.184 |
2 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ADANIPORTS | NSE_EQ|INE742F01042 | 1,754.9 | 2.4 | 0.14 | 339,165 | 1,754.31 | 124,195 | 154,617 | 0.803 |
3 | 1,793,078,524,182 | 2026-10-27 10:52:04 | APOLLOHOSP | NSE_EQ|INE437A01024 | 7,889 | 45 | 0.57 | 63,717 | 7,854.36 | 31,491 | 20,882 | 1.508 |
4 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ASIANPAINT | NSE_EQ|INE021A01026 | 2,298.1 | -23.9 | -1.03 | 173,084 | 2,296.93 | 65,736 | 39,567 | 1.661 |
5 | 1,793,078,524,182 | 2026-10-27 10:52:04 | AXISBANK | NSE_EQ|INE238A01034 | 1,222.5 | 2.5 | 0.2 | 1,640,884 | 1,223.67 | 322,474 | 240,200 | 1.343 |
6 | 1,793,078,524,182 | 2026-10-27 10:52:04 | BSE | NSE_EQ|INE118H01025 | 3,429 | 70 | 2.08 | 1,684,501 | 3,403.81 | 178,160 | 402,644 | 0.442 |
7 | 1,793,078,524,182 | 2026-10-27 10:52:04 | BAJAJ-AUTO | NSE_EQ|INE917I01010 | 10,260 | 189 | 1.88 | 116,781 | 10,225.53 | 21,055 | 14,355 | 1.467 |
8 | 1,793,078,524,182 | 2026-10-27 10:52:04 | BAJFINANCE | NSE_EQ|INE296A01032 | 922 | 3.3 | 0.36 | 1,721,506 | 919.72 | 314,319 | 225,008 | 1.397 |
9 | 1,793,078,524,182 | 2026-10-27 10:52:04 | BAJAJFINSV | NSE_EQ|INE918I01026 | 1,668 | -2.9 | -0.17 | 453,372 | 1,661.38 | 108,820 | 69,943 | 1.556 |
10 | 1,793,078,524,182 | 2026-10-27 10:52:04 | BEL | NSE_EQ|INE263A01024 | 371.5 | 8.5 | 2.34 | 5,941,565 | 370.48 | 911,516 | 1,149,328 | 0.793 |
11 | 1,793,078,524,182 | 2026-10-27 10:52:04 | BHARTIARTL | NSE_EQ|INE397D01024 | 1,960.2 | 42.7 | 2.23 | 4,290,138 | 1,941.39 | 419,933 | 247,337 | 1.698 |
12 | 1,793,078,524,182 | 2026-10-27 10:52:04 | CIPLA | NSE_EQ|INE059A01026 | 1,366.6 | 11.6 | 0.86 | 425,544 | 1,356.06 | 75,492 | 80,352 | 0.94 |
13 | 1,793,078,524,182 | 2026-10-27 10:52:04 | COALINDIA | NSE_EQ|INE522F01014 | 403.4 | -1.6 | -0.4 | 1,284,297 | 403.3 | 528,231 | 532,278 | 0.992 |
14 | 1,793,078,524,182 | 2026-10-27 10:52:04 | DRREDDY | NSE_EQ|INE089A01031 | 1,318.7 | 7.8 | 0.6 | 633,319 | 1,315.45 | 165,224 | 179,950 | 0.918 |
15 | 1,793,078,524,182 | 2026-10-27 10:52:04 | EICHERMOT | NSE_EQ|INE066A01021 | 7,133.5 | 34 | 0.48 | 58,850 | 7,109.57 | 29,884 | 22,849 | 1.308 |
16 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ETERNAL | NSE_EQ|INE758T01015 | 323.4 | -2.15 | -0.66 | 9,907,150 | 327.04 | 980,970 | 1,724,953 | 0.569 |
17 | 1,793,078,524,182 | 2026-10-27 10:52:04 | GRASIM | NSE_EQ|INE047A01021 | 2,918.1 | -31.9 | -1.08 | 43,125 | 2,922.31 | 51,192 | 45,408 | 1.127 |
18 | 1,793,078,524,182 | 2026-10-27 10:52:04 | HCLTECH | NSE_EQ|INE860A01027 | 1,402.6 | -14.4 | -1.02 | 691,535 | 1,401.08 | 147,241 | 168,698 | 0.873 |
19 | 1,793,078,524,182 | 2026-10-27 10:52:04 | HDFCBANK | NSE_EQ|INE040A01034 | 687.9 | -0.15 | -0.02 | 8,748,101 | 687.66 | 1,273,506 | 1,168,672 | 1.09 |
20 | 1,793,078,524,182 | 2026-10-27 10:52:04 | HDFCLIFE | NSE_EQ|INE795G01014 | 518.9 | -0.1 | -0.02 | 776,287 | 518.26 | 303,233 | 201,789 | 1.503 |
21 | 1,793,078,524,182 | 2026-10-27 10:52:04 | HINDALCO | NSE_EQ|INE038A01020 | 889.5 | 3.85 | 0.43 | 907,944 | 889.37 | 221,085 | 187,040 | 1.182 |
22 | 1,793,078,524,182 | 2026-10-27 10:52:04 | HINDUNILVR | NSE_EQ|INE030A01027 | 1,766.3 | -52.3 | -2.88 | 1,588,211 | 1,773.01 | 145,256 | 129,317 | 1.123 |
23 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ICICIBANK | NSE_EQ|INE090A01021 | 1,394.1 | -8.9 | -0.63 | 2,656,925 | 1,395.65 | 333,386 | 470,122 | 0.709 |
24 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ITC | NSE_EQ|INE154A01025 | 258.5 | -2 | -0.77 | 3,263,903 | 259.06 | 1,227,006 | 1,459,842 | 0.841 |
25 | 1,793,078,524,182 | 2026-10-27 10:52:04 | INFY | NSE_EQ|INE009A01021 | 1,144.4 | -21.6 | -1.85 | 3,738,877 | 1,136.97 | 623,675 | 601,594 | 1.037 |
26 | 1,793,078,524,182 | 2026-10-27 10:52:04 | INDIGO | NSE_EQ|INE646L01027 | 4,660.5 | 52.5 | 1.14 | 158,549 | 4,631.51 | 48,048 | 32,526 | 1.477 |
27 | 1,793,078,524,182 | 2026-10-27 10:52:04 | JSWSTEEL | NSE_EQ|INE019A01038 | 1,257.8 | -2.2 | -0.17 | 575,051 | 1,247.96 | 194,651 | 151,492 | 1.285 |
28 | 1,793,078,524,182 | 2026-10-27 10:52:04 | JIOFIN | NSE_EQ|INE758E01017 | 205.62 | 0.39 | 0.19 | 6,547,462 | 205.35 | 1,610,239 | 1,178,694 | 1.366 |
29 | 1,793,078,524,182 | 2026-10-27 10:52:04 | KOTAKBANK | NSE_EQ|INE237A01036 | 442.5 | 1.75 | 0.4 | 5,442,709 | 442.87 | 836,380 | 880,303 | 0.95 |
30 | 1,793,078,524,182 | 2026-10-27 10:52:04 | LT | NSE_EQ|INE018A01030 | 3,703.8 | 23.8 | 0.65 | 370,080 | 3,697.01 | 68,725 | 100,576 | 0.683 |
31 | 1,793,078,524,182 | 2026-10-27 10:52:04 | M&M | NSE_EQ|INE101A01026 | 2,861.5 | 8.4 | 0.29 | 505,760 | 2,854.56 | 104,848 | 79,434 | 1.32 |
32 | 1,793,078,524,182 | 2026-10-27 10:52:04 | MARUTI | NSE_EQ|INE585B01010 | 11,414 | 194 | 1.73 | 121,837 | 11,320.08 | 17,373 | 23,918 | 0.726 |
33 | 1,793,078,524,182 | 2026-10-27 10:52:04 | MAXHEALTH | NSE_EQ|INE027H01010 | 849.9 | 14.9 | 1.78 | 1,460,112 | 846.44 | 174,071 | 119,017 | 1.463 |
34 | 1,793,078,524,182 | 2026-10-27 10:52:04 | NTPC | NSE_EQ|INE733E01010 | 304.25 | 4.25 | 1.42 | 2,055,266 | 302.78 | 636,664 | 420,601 | 1.514 |
35 | 1,793,078,524,182 | 2026-10-27 10:52:04 | NESTLEIND | NSE_EQ|INE239A01024 | 1,169.4 | -4.1 | -0.35 | 618,841 | 1,173.12 | 133,234 | 112,772 | 1.181 |
36 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ONGC | NSE_EQ|INE213A01029 | 226.3 | -2.14 | -0.94 | 2,424,733 | 227.03 | 685,626 | 921,488 | 0.744 |
37 | 1,793,078,524,182 | 2026-10-27 10:52:04 | POWERGRID | NSE_EQ|INE752E01010 | 251.95 | 4.95 | 2 | 2,963,100 | 249.64 | 926,261 | 542,165 | 1.708 |
38 | 1,793,078,524,182 | 2026-10-27 10:52:04 | RELIANCE | NSE_EQ|INE002A01018 | 1,193.1 | -8.7 | -0.72 | 3,463,495 | 1,192.63 | 565,818 | 629,894 | 0.898 |
39 | 1,793,078,524,182 | 2026-10-27 10:52:04 | SBILIFE | NSE_EQ|INE123W01016 | 1,640 | -3.7 | -0.23 | 193,788 | 1,642.5 | 57,076 | 31,702 | 1.8 |
40 | 1,793,078,524,182 | 2026-10-27 10:52:04 | SHRIRAMFIN | NSE_EQ|INE721A01047 | 840.6 | 15.6 | 1.89 | 3,134,764 | 834.55 | 312,095 | 315,473 | 0.989 |
41 | 1,793,078,524,182 | 2026-10-27 10:52:04 | SBIN | NSE_EQ|INE062A01020 | 962.7 | 1.9 | 0.2 | 1,878,557 | 961.52 | 422,043 | 577,636 | 0.731 |
42 | 1,793,078,524,182 | 2026-10-27 10:52:04 | SUNPHARMA | NSE_EQ|INE044A01036 | 1,758.6 | 18.6 | 1.07 | 339,025 | 1,759.77 | 95,477 | 79,224 | 1.205 |
43 | 1,793,078,524,182 | 2026-10-27 10:52:04 | TCS | NSE_EQ|INE467B01029 | 2,489 | -46 | -1.81 | 1,326,358 | 2,484.58 | 193,185 | 187,764 | 1.029 |
44 | 1,793,078,524,182 | 2026-10-27 10:52:04 | TATACONSUM | NSE_EQ|INE192A01025 | 985 | 48.5 | 5.18 | 4,274,231 | 984.43 | 199,306 | 173,046 | 1.152 |
45 | 1,793,078,524,182 | 2026-10-27 10:52:04 | TMPV | NSE_EQ|INE155A01022 | 263.65 | -0.05 | -0.02 | 3,262,816 | 262.91 | 935,012 | 731,940 | 1.277 |
46 | 1,793,078,524,182 | 2026-10-27 10:52:04 | TATASTEEL | NSE_EQ|INE081A01020 | 171.79 | 1.85 | 1.09 | 10,523,733 | 170.99 | 1,469,445 | 1,600,562 | 0.918 |
47 | 1,793,078,524,182 | 2026-10-27 10:52:04 | TECHM | NSE_EQ|INE669C01036 | 1,782.5 | -12.5 | -0.7 | 538,846 | 1,778.47 | 141,792 | 118,005 | 1.202 |
48 | 1,793,078,524,182 | 2026-10-27 10:52:04 | TITAN | NSE_EQ|INE280A01028 | 4,336.8 | 13.8 | 0.32 | 104,046 | 4,322.27 | 55,838 | 29,905 | 1.867 |
49 | 1,793,078,524,182 | 2026-10-27 10:52:04 | TRENT | NSE_EQ|INE849A01020 | 2,812.6 | 58.6 | 2.13 | 163,379 | 2,785.34 | 58,161 | 48,002 | 1.212 |
50 | 1,793,078,524,182 | 2026-10-27 10:52:04 | ULTRACEMCO | NSE_EQ|INE481G01011 | 11,096 | -84 | -0.75 | 35,912 | 11,069.66 | 15,898 | 16,103 | 0.987 |
44 | null | null | ADANIENT | NSE_EQ|INE423A01024 | null | null | null | null | null | null | null | null |
4 | null | null | ADANIPORTS | NSE_EQ|INE742F01042 | null | null | null | null | null | null | null | null |
49 | null | null | APOLLOHOSP | NSE_EQ|INE437A01024 | null | null | null | null | null | null | null | null |
40 | null | null | ASIANPAINT | NSE_EQ|INE021A01026 | null | null | null | null | null | null | null | null |
22 | null | null | AXISBANK | NSE_EQ|INE238A01034 | null | null | null | null | null | null | null | null |
21 | null | null | BAJAJ-AUTO | NSE_EQ|INE917I01010 | null | null | null | null | null | null | null | null |
6 | null | null | BAJAJFINSV | NSE_EQ|INE918I01026 | null | null | null | null | null | null | null | null |
18 | null | null | BAJFINANCE | NSE_EQ|INE296A01032 | null | null | null | null | null | null | null | null |
7 | null | null | BEL | NSE_EQ|INE263A01024 | null | null | null | null | null | null | null | null |
15 | null | null | BHARTIARTL | NSE_EQ|INE397D01024 | null | null | null | null | null | null | null | null |
32 | null | null | BSE | NSE_EQ|INE118H01025 | null | null | null | null | null | null | null | null |
39 | null | null | CIPLA | NSE_EQ|INE059A01026 | null | null | null | null | null | null | null | null |
30 | null | null | COALINDIA | NSE_EQ|INE522F01014 | null | null | null | null | null | null | null | null |
36 | null | null | DRREDDY | NSE_EQ|INE089A01031 | null | null | null | null | null | null | null | null |
23 | null | null | EICHERMOT | NSE_EQ|INE066A01021 | null | null | null | null | null | null | null | null |
5 | null | null | ETERNAL | NSE_EQ|INE758T01015 | null | null | null | null | null | null | null | null |
50 | null | null | GRASIM | NSE_EQ|INE047A01021 | null | null | null | null | null | null | null | null |
33 | null | null | HCLTECH | NSE_EQ|INE860A01027 | null | null | null | null | null | null | null | null |
31 | null | null | HDFCBANK | NSE_EQ|INE040A01034 | null | null | null | null | null | null | null | null |
1 | null | null | HDFCLIFE | NSE_EQ|INE795G01014 | null | null | null | null | null | null | null | null |
43 | null | null | HINDALCO | NSE_EQ|INE038A01020 | null | null | null | null | null | null | null | null |
11 | null | null | HINDUNILVR | NSE_EQ|INE030A01027 | null | null | null | null | null | null | null | null |
16 | null | null | ICICIBANK | NSE_EQ|INE090A01021 | null | null | null | null | null | null | null | null |
26 | null | null | INDIGO | NSE_EQ|INE646L01027 | null | null | null | null | null | null | null | null |
25 | null | null | INFY | NSE_EQ|INE009A01021 | null | null | null | null | null | null | null | null |
13 | null | null | ITC | NSE_EQ|INE154A01025 | null | null | null | null | null | null | null | null |
9 | null | null | JIOFIN | NSE_EQ|INE758E01017 | null | null | null | null | null | null | null | null |
41 | null | null | JSWSTEEL | NSE_EQ|INE019A01038 | null | null | null | null | null | null | null | null |
38 | null | null | KOTAKBANK | NSE_EQ|INE237A01036 | null | null | null | null | null | null | null | null |
27 | null | null | LT | NSE_EQ|INE018A01030 | null | null | null | null | null | null | null | null |
12 | null | null | M&M | NSE_EQ|INE101A01026 | null | null | null | null | null | null | null | null |
37 | null | null | MARUTI | NSE_EQ|INE585B01010 | null | null | null | null | null | null | null | null |
8 | null | null | MAXHEALTH | NSE_EQ|INE027H01010 | null | null | null | null | null | null | null | null |
51 | null | null | null | NSE_INDEX|Nifty 50 | null | null | null | null | null | null | null | null |
3 | null | null | NESTLEIND | NSE_EQ|INE239A01024 | null | null | null | null | null | null | null | null |
19 | null | null | NTPC | NSE_EQ|INE733E01010 | null | null | null | null | null | null | null | null |
47 | null | null | ONGC | NSE_EQ|INE213A01029 | null | null | null | null | null | null | null | null |
29 | null | null | POWERGRID | NSE_EQ|INE752E01010 | null | null | null | null | null | null | null | null |
34 | null | null | RELIANCE | NSE_EQ|INE002A01018 | null | null | null | null | null | null | null | null |
20 | null | null | SBILIFE | NSE_EQ|INE123W01016 | null | null | null | null | null | null | null | null |
24 | null | null | SBIN | NSE_EQ|INE062A01020 | null | null | null | null | null | null | null | null |
48 | null | null | SHRIRAMFIN | NSE_EQ|INE721A01047 | null | null | null | null | null | null | null | null |
2 | null | null | SUNPHARMA | NSE_EQ|INE044A01036 | null | null | null | null | null | null | null | null |
14 | null | null | TATACONSUM | NSE_EQ|INE192A01025 | null | null | null | null | null | null | null | null |
45 | null | null | TATASTEEL | NSE_EQ|INE081A01020 | null | null | null | null | null | null | null | null |
46 | null | null | TCS | NSE_EQ|INE467B01029 | null | null | null | null | null | null | null | null |
35 | null | null | TECHM | NSE_EQ|INE669C01036 | null | null | null | null | null | null | null | null |
42 | null | null | TITAN | NSE_EQ|INE280A01028 | null | null | null | null | null | null | null | null |
17 | null | null | TMPV | NSE_EQ|INE155A01022 | null | null | null | null | null | null | null | null |
28 | null | null | TRENT | NSE_EQ|INE849A01020 | null | null | null | null | null | null | null | null |
End of preview.
Nifty 50 Real-Time & Daily Market Data
Daily automated ingestion of Indian stock market data from Upstox API for Nifty 50, Bank Nifty, and all 50 constituent stocks.
📁 Repository Structure
market_data.db: Full historical SQLite database containing all relational tables:daily_base_prices: Previous close, open price, overnight gap, turnover.realtime_ticks: Live LTP, volume, ATP, order flow ratio (TBQ vs TSQ).level_5_depth: Full 5-level bid/ask market depth ladders.option_chains: Complete Call & Put options chain with IV, Greeks (Delta, Theta, Vega, Gamma), OI, Volume, PCR.orders_log: Real-time order execution logs.
csv/YYYY-MM-DD/: Clean date-partitioned CSV files for daily analysis in Pandas / Excel.
🕒 Sync Schedule
Automatically synced daily after market close (15:35 IST) from Upstox Live Feeder.
Last Synced: 2026-10-27 11:01:35 IST
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