fynance/__init__.py,sha256=2eA6BUNSlRHWU-JMBmd0i6MpagOQ7q1Fkca49PEce8c,2300
fynance/_exceptions.py,sha256=aGQnjNSPVCjRL_qp5UVMXMVjD_zDkyvhvjuCDkc-uyI,907
fynance/_wrappers.py,sha256=TlMeVAs0zaC14FV2GFLKLnRgej7B1QOnzq3ru7y_6KA,6370
fynance/core/__init__.py,sha256=Gb5HOt78sElZBKOMrycneHP5eCZl4avIJ5X_9KPTtfU,346
fynance/core/series.py,sha256=4v1rtgNt8vU3cPGPv0Xfrxfe5rlfPmtjjHZPexYU2ik,3327
fynance/features/returns.py,sha256=C11AQniVnsSfTljFtCeRqBfXtz1-hithIEZq3BbuOs0,12455
fynance/features/metrics_cy.cpython-311-x86_64-linux-gnu.so,sha256=2XwZ27goVgVUMyRmpxjdkJd3-zq3qbAeBgEDSn4-0Xc,2614272
fynance/features/__init__.py,sha256=spcj8aAaVL3i7Dkcod2r08ML4VJ9fvYHIZLl6Vjll9E,1315
fynance/features/momentums.py,sha256=hrouUR5mxh5O0FKVOxeW4JktL_kLDdQyK6bai06laL8,14139
fynance/features/metrics_cy.c,sha256=rnxiwk5D3C9-n8vjWG9dSDL6D5iy1UoABXPdJF47qV0,1663744
fynance/features/momentums_cy.pyx,sha256=deNhXJ5ZPsVY0-EbiRTnHUfm-aQOhjR6YZBkbmtUgSI,15251
fynance/features/roll_functions.py,sha256=-REsG9L2UY3hzWDn8CxZAMaJkXBTjLyG5h8OLRB0Nd4,4753
fynance/features/filters.py,sha256=DfH9KRMGKnrDN7MJMnu9lfyv9sOPRQPz1sXEgFnuk80,12800
fynance/features/indicators.py,sha256=fHsLvuO4rH8TNiH9bilGF288BdTm_pjG4GnP6o9Pezs,21315
fynance/features/ratios.py,sha256=Sk_Hk757qED1GwzDfiAvt3eXUI92vymShpihDGh8uPk,20587
fynance/features/stats.py,sha256=0FXBadzHqC3wHjP_x13VBWxKmTT2_j9eV-74-CEdZs8,7271
fynance/features/momentums_cy.cpython-311-x86_64-linux-gnu.so,sha256=AJhxcQtl32uFpF_t2QOWXZmQKCFq4WH5pJ7zw5CtoUw,1733624
fynance/features/roll_functions_cy.cpython-311-x86_64-linux-gnu.so,sha256=B-NVwqEUGJaBlsHr_4oXBQFNM7k1Dq3eoiuzWHzH6K8,1621136
fynance/features/scale.py,sha256=eZOqfSrgxVVK5E8nuN-ZFWlh6tbyvsF6nwKI_H0SIR8,14437
fynance/features/roll_functions_cy.c,sha256=xaWMESwil4FW2jZXyvA_qbKN1CZ8Tg6yvzfnz658gDU,1211674
fynance/features/money_management.py,sha256=ZDe8_OFU3XXw5uVi8Lnq_vHSOgDvSoDa2hAKXSRdWcY,2045
fynance/features/_metrics_helpers.py,sha256=vjDcfct1LLjybGmYoGW9-Y3lJRsLbPTYnIaM2Pf0HKk,4813
fynance/features/metrics_cy.pyx,sha256=bnbq5t-0TWUHbw4n7fx7je0Wk4EaNLr3b6K5wnikQm0,31026
fynance/features/drawdown.py,sha256=YK_gOg2kQUH1FqEr3yVXEKwYdlDn286cghFFUo_nwF4,11068
fynance/features/roll_functions_cy.pyx,sha256=UKiD6jZdBFIqH7WZEv2qr9ss7yI3S8DZSvehVpcxzd4,5883
fynance/features/momentums_cy.c,sha256=tt73-Z87HiNotGCQ_mnL7EnQt1CA2N5-u7SyAXeAfx8,1344341
fynance/features/metrics.py,sha256=LbtG5UStgMT1mhFSibp2kRaqbRFYj3yS9wWBZtPwzEY,1366
fynance/models/_base.py,sha256=ka4uSlm8bEI6nrXIU7rvMN_AZU9S5xmwzaaEETmixFg,13798
fynance/models/econometric_models_cy.cpython-311-x86_64-linux-gnu.so,sha256=yjPj0liHCRuYATo53Uvu28A5ucoh9rf8xaiPyyJ7i0g,1316488
fynance/models/cv_result.py,sha256=42nSdjoREMYoBFRcE_Z1UJwzTFgqzf_8LO0AT0piWcY,1002
fynance/models/__init__.py,sha256=Eou2VVY0r6JDVXCF84Q5RriNNvIz_xAeE1UhhhGAEjQ,2267
fynance/models/mlp.py,sha256=E4do5l8oIuE3LJUwnNZUH-0V65fsa3FoKrQUYb5qhnA,5789
fynance/models/lstm.py,sha256=qk8Wu0EC2k9xXAASuQcKFZsGanCl5j4xilhnkh2FVbc,12644
fynance/models/_recurrent_base.py,sha256=Vludb05wWuR-eqehUuoVwQJ2uK_NudqG4NIHdLVGxU0,7215
fynance/models/econometric_models_cy.pyx,sha256=3hZNfvIgA8GRDtn2gMIlu0rbYfeyq6m9diWeiPCwJNs,11354
fynance/models/gru.py,sha256=S4exEjoAmGV1720WpGU0jh-yi01TOFmuZFLqBr6YUm8,8580
fynance/models/rolling.py,sha256=uQ4dzamwzsiOY_wA2kZUPVXeoesUeVl2xCtdrm35xX4,19183
fynance/models/rnn.py,sha256=YZu3RNn5vhyAQWVsbbT3aBkZ6rqF6SH9n_4OErffiQs,3515
fynance/models/econometric_models_cy.c,sha256=5ExGh_jiCdd9dmNljI_y5C1t1lVlDWNJK9A-lz16YUk,788697
fynance/models/attention.py,sha256=F5LQ2o98jEB3ZSPTqzZUpoSxC9VpOMi684X_kcN-uiM,5346
fynance/models/econometric_models.py,sha256=yYNXfs9FBw4IRl1_e91siNWCzQUMVMD46zZNhoOQnfA,10099
fynance/models/loss/_base.py,sha256=Zs7FgvmniS4NzkQmlVJ_yz5-Qj7BBPMSFJb5S6Sylqw,1594
fynance/models/loss/__init__.py,sha256=hU7QvZRpTzn6KIL_aAS-6qj9F3PRIt8K6bJo8rjwzMI,1329
fynance/models/loss/directional.py,sha256=lHGvpbOv4tOxz0OAqV2kF5Z4Sq32ju4cnG6dlA4oTyg,3188
fynance/models/loss/sortino.py,sha256=eiUONxwBLmo-f74UtO0xDo2iQT3r_UeAWa7279UTgTE,2556
fynance/models/loss/sharpe.py,sha256=YCZhC7v_ceNwsdIip0yUDpkVvOMJwyDBMALf_DOo-l4,3144
fynance/estimator/estimator.py,sha256=v1tzjU9IEbsBv2qFlQ3ztzBfue5hlBXTmwf3yUs1Qyc,3229
fynance/estimator/estimator_cy.pyx,sha256=nfAUzPbbx91-V2-kiBTOriRXgMnOmiBGKZBJX6plFqk,3630
fynance/estimator/__init__.py,sha256=XABgSQKGYsXbsidqBW06L-s5KbAQt9Oupgf_xFE_4DY,148
fynance/estimator/estimator_cy.c,sha256=vU7ZIm4bl9BTbP5NCJcBgZRebzIkvIQjQlCOkpWU9uQ,664744
fynance/estimator/estimator_cy.cpython-311-x86_64-linux-gnu.so,sha256=HFiBiaLNv7l5PQUd8CTbdBIgxU_L0L-exJHFz1Gb_OQ,961872
fynance/backtest/__init__.py,sha256=XIcjGr6-xbEHmfFn5Evm6sexNkM0LMr0HywnNFRs43k,675
fynance/backtest/loss.py,sha256=Nd0cVR86RBNbZsmMf_konPdrj7RfxdMN2nuhIBMv7cg,3212
fynance/backtest/_basis_plot.py,sha256=hQE9gcRjHidqK5-_pSBVbJK4MrkEhD2WQSVYRSMJd5M,2222
fynance/backtest/backtest_neural_net.py,sha256=mgk8RGsHA61qC3udnVJD0Rva-LuleAlbExlMjPXl6QM,4349
fynance/backtest/plot_backtest.py,sha256=X44rNsb9nrEGifJoaMq6Azbm3-0sV7rM9ze7fA8Jq2Q,6027
fynance/backtest/plot.py,sha256=gF-gnfso12mIKutZWeuJTxoju4oHaZ09QW9QwBdjZJI,5729
fynance/backtest/dynamic_plot_backtest.py,sha256=UImE5HXMKqFdWfM_azHxlNnNIwFZaAIl_b4XaDhMWkQ,15929
fynance/backtest/plot_tools.py,sha256=oDJGxfJ8vgOXdYIfVZnp6pkW74z42yWhy64NT2wurpY,7076
fynance/backtest/print_stats.py,sha256=s4DQAvvWmWSqUF8gj1lo4ajmCItpzdj573mnqeb2XM0,5573
fynance/tests/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fynance/tests/core/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fynance/tests/core/test_series.py,sha256=NbQWR-Z3MHjnFDrQH50vKsuGzSBNgtO_6NDAo-kJxQE,1506
fynance/tests/features/__init__.py,sha256=fakQ5UhJLv-Mt9k10WW7sEiAIaBSQhX0fjydLJQqjxo,272
fynance/tests/features/test_scale.py,sha256=qFNo47Smv0R0Z6WFkTp3tqbnP1wq_tGoetgSvcrZ-UI,3649
fynance/tests/features/test_property.py,sha256=8lMeJgiUCuobdBDW_uSBzGA-B82h-wjjdbkwI6oJWg4,4019
fynance/tests/features/test_filters_benchmark.py,sha256=x3hr3buHX0T5dieQYWIKzbkNGWqq-qGmJTR_8hLG8Lg,1231
fynance/tests/features/test_indicators.py,sha256=iu4fhqfXX1fnVT6a3ASJT8nOHvNma6xBOSXdkQLIBoE,4173
fynance/tests/features/test_metrics.py,sha256=-Ei_RuI7fBndXUdqsSoIGj2cbk6Nd3cz7SmaslZKbVE,16548
fynance/tests/features/test_momentums.py,sha256=3Zfy72FErHK1k6pHwXsfukNYowyxQGMFcV6yMHR8hC8,4423
fynance/tests/features/test_filters.py,sha256=rrLQJBJHl_t1Dep1Ta6unDL8zKizxDhAoR7GtZDaXMI,4550
fynance/tests/models/test_neural_network.py,sha256=5UseHCUb-YTzpEwi_r-HOsd0RoQFuUEEXnJD-JLm0Vk,16719
fynance/tests/models/__init__.py,sha256=s_-T4V-y2jbsVV7XHddKFtcvCKRFLyAD9kTITzL4Qks,272
fynance/tests/models/test_econometric_models.py,sha256=-o9qQ6VCU2yOh_U2Pjzu_eC_fhrizMWGJdAVmZrA6jo,3400
fynance/tests/models/test_rnn.py,sha256=WEc5cIX4pka4PJttmYDJwZEsesx78k_0sZR4PuNuIxw,1916
fynance/tests/models/test_loss.py,sha256=pVMBMZj9QijnnwpEBdxApwpR5mM3e2zbenkAp8Yc4Ek,4727
fynance/tests/models/test_rolling.py,sha256=QCThkAPvNDrPOA_LyNWCwBMR5Tx86T15dfyBHp-oixI,3491
fynance/tests/estimator/test_estimator.py,sha256=d4900Lryd9wunk7Xpyy80Q4Rlvb-z77XYmEpzw7SRa0,1230
fynance/tests/estimator/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fynance/tests/backtest/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fynance/tests/backtest/test_backtest.py,sha256=qEyySaWMWWrKPuqbR4HriRISTAIrRgV9ibKikUbceTc,2843
fynance/tests/algorithms/__init__.py,sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU,0
fynance/tests/algorithms/test_allocation.py,sha256=GreG60WlGDVckpEfqdi6X_HokltlkenzAbKpXzIUpOw,7549
fynance/algorithms/__init__.py,sha256=YryNZxHLnmsptKJYWzV-c71Vo1rQoreThN_HBhXBpTs,481
fynance/algorithms/allocation.py,sha256=uytaM3DrZHWq7CpmalSZqtwnvx71D_LhdjikwIKCkk0,24827
fynance-1.4.0.dist-info/top_level.txt,sha256=_x9y23IWFDCTGQIH6P6M9_MlyebJ68h291wszpm3g_Y,8
fynance-1.4.0.dist-info/RECORD,,
fynance-1.4.0.dist-info/METADATA,sha256=XEhHvLm-5FbL1RQ4ZwHjrzm7YauDfOHCLeb-D1U6LWc,5673
fynance-1.4.0.dist-info/WHEEL,sha256=LzEbpIS1rN6HUKgX_HYQou3zndu2RacYEOrIqPjDwB0,151
fynance-1.4.0.dist-info/licenses/LICENSE.txt,sha256=cvFK4n0Ki-2KhC1qIAcL5PQE13Rl41FGMgdeJm-YgpU,1075
