Datasets:

nagarhimanshu37
/

ultron-trading-memory

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
timestamp: timestamp[s]
symbol: string
state: string
action: string
loss: double
reason: string
lesson: string
vs
BULLISH_EXPANSION|RSI_OVERBOUGHT|BULL_STACK|ST_RED|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
BULLISH_EXPANSION|RSI_BULL_MOMENTUM|BULL_STACK|ST_RED|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
BEARISH_EXPANSION|RSI_BEAR_MOMENTUM|BEAR_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
SIDEWAYS_CHOP|RSI_BULL_MOMENTUM|BEAR_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
BULLISH_EXPANSION|RSI_BULL_MOMENTUM|MIXED|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
STRONG_BULLISH_TREND|RSI_OVERBOUGHT|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
STRONG_BULLISH_TREND|RSI_BULL_MOMENTUM|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
STRONG_BULLISH_TREND|RSI_NEUTRAL|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
SIDEWAYS_CHOP|RSI_BEAR_MOMENTUM|MIXED|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
STRONG_BULLISH_TREND|RSI_BEAR_MOMENTUM|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
BEARISH_EXPANSION|RSI_NEUTRAL|BEAR_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
VOLATILITY_SQUEEZE_CONSOLIDATION|RSI_OVERSOLD|MIXED|ST_GREEN|VOL_EXTREME: struct<BUY: double, SELL: double, HOLD: double>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4408, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2679, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2861, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2395, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 596, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5040, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              timestamp: timestamp[s]
              symbol: string
              state: string
              action: string
              loss: double
              reason: string
              lesson: string
              vs
              BULLISH_EXPANSION|RSI_OVERBOUGHT|BULL_STACK|ST_RED|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              BULLISH_EXPANSION|RSI_BULL_MOMENTUM|BULL_STACK|ST_RED|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              BEARISH_EXPANSION|RSI_BEAR_MOMENTUM|BEAR_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              SIDEWAYS_CHOP|RSI_BULL_MOMENTUM|BEAR_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              BULLISH_EXPANSION|RSI_BULL_MOMENTUM|MIXED|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              STRONG_BULLISH_TREND|RSI_OVERBOUGHT|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              STRONG_BULLISH_TREND|RSI_BULL_MOMENTUM|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              STRONG_BULLISH_TREND|RSI_NEUTRAL|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              SIDEWAYS_CHOP|RSI_BEAR_MOMENTUM|MIXED|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              STRONG_BULLISH_TREND|RSI_BEAR_MOMENTUM|BULL_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              BEARISH_EXPANSION|RSI_NEUTRAL|BEAR_STACK|ST_GREEN|VOL_LOW: struct<BUY: double, SELL: double, HOLD: double>
              VOLATILITY_SQUEEZE_CONSOLIDATION|RSI_OVERSOLD|MIXED|ST_GREEN|VOL_EXTREME: struct<BUY: double, SELL: double, HOLD: double>

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🧠 Ultron v2 - Autonomous Trading Agent Memory Hub

This dataset contains the persistent reinforcement learning experiences, trade journals, mistake catalogs, and Q-learning policy weights for the Ultron v2 Autonomous Trading Agent (NSE/BSE).

Files:

trade_experiences.json: Complete episode journal (State, Action, Reward, PnL).
mistake_catalog.json: Catalog of all stop-loss mistakes & trade reflections.
q_policy_weights.json: Learned Q-Value weights for adaptive trade selection.

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