5f7702469e
- Removed v10 TradingView indicator (moneyline_v10_momentum_dots.pinescript) - Removed v10 penalty system from signal-quality.ts (-30/-25 point penalties) - Removed backtest result files (sweep_*.csv) - Updated copilot-instructions.md to remove v10 references - Simplified direction-specific quality thresholds (LONG 90+, SHORT 80+) Rationale: - 1,944 parameter combinations tested in backtest - All top results IDENTICAL (568 trades, $498 P&L, 61.09% WR) - Momentum parameters had ZERO impact on trade selection - Profit factor 1.027 too low (barely profitable after fees) - Max drawdown -$1,270 vs +$498 profit = terrible risk-reward - v10 penalties were blocking good trades (bug: applied to wrong positions) Keeping v9 as production system - simpler, proven, effective.
58 lines
2.1 KiB
Plaintext
58 lines
2.1 KiB
Plaintext
Metadata-Version: 2.1
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Name: numpy
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Version: 1.21.6
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Summary: NumPy is the fundamental package for array computing with Python.
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Home-page: https://www.numpy.org
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Author: Travis E. Oliphant et al.
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Maintainer: NumPy Developers
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Maintainer-email: numpy-discussion@python.org
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License: BSD
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Download-URL: https://pypi.python.org/pypi/numpy
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Project-URL: Bug Tracker, https://github.com/numpy/numpy/issues
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Project-URL: Documentation, https://numpy.org/doc/1.21
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Project-URL: Source Code, https://github.com/numpy/numpy
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Platform: Windows
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Platform: Linux
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Platform: Solaris
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Platform: Mac OS-X
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Platform: Unix
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Classifier: Development Status :: 5 - Production/Stable
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Classifier: Intended Audience :: Science/Research
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Classifier: Intended Audience :: Developers
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Classifier: License :: OSI Approved :: BSD License
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Classifier: Programming Language :: C
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Classifier: Programming Language :: Python
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Classifier: Programming Language :: Python :: 3
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Classifier: Programming Language :: Python :: 3.7
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Classifier: Programming Language :: Python :: 3.8
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Classifier: Programming Language :: Python :: 3.9
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Classifier: Programming Language :: Python :: 3.10
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Classifier: Programming Language :: Python :: 3 :: Only
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Classifier: Programming Language :: Python :: Implementation :: CPython
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Classifier: Topic :: Software Development
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Classifier: Topic :: Scientific/Engineering
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Classifier: Typing :: Typed
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Classifier: Operating System :: Microsoft :: Windows
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Classifier: Operating System :: POSIX
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Classifier: Operating System :: Unix
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Classifier: Operating System :: MacOS
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Requires-Python: >=3.7,<3.11
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It provides:
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- a powerful N-dimensional array object
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- sophisticated (broadcasting) functions
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- tools for integrating C/C++ and Fortran code
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- useful linear algebra, Fourier transform, and random number capabilities
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- and much more
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Besides its obvious scientific uses, NumPy can also be used as an efficient
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multi-dimensional container of generic data. Arbitrary data-types can be
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defined. This allows NumPy to seamlessly and speedily integrate with a wide
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variety of databases.
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All NumPy wheels distributed on PyPI are BSD licensed.
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