mirror of
https://github.com/NicolasBohn/NexQuant.git
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b1ddba388a
* init code * first version of model proposal
42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
"""
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TODO: Factor Structure RD-Loop
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"""
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from dotenv import load_dotenv
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from rdagent.core.scenario import Scenario
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load_dotenv(override=True)
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from rdagent.app.qlib_rd_loop.conf import PROP_SETTING
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from rdagent.core.proposal import (
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Hypothesis2Experiment,
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HypothesisExperiment2Feedback,
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HypothesisGen,
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Trace,
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)
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from rdagent.core.task_generator import TaskGenerator
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from rdagent.core.utils import import_class
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scen: Scenario = import_class(PROP_SETTING.qlib_factor_scen)()
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hypothesis_gen: HypothesisGen = import_class(PROP_SETTING.qlib_factor_hypothesis_gen)(scen)
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hypothesis2experiment: Hypothesis2Experiment = import_class(PROP_SETTING.qlib_factor_hypothesis2experiment)()
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qlib_factor_coder: TaskGenerator = import_class(PROP_SETTING.qlib_factor_coder)(scen)
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qlib_factor_runner: TaskGenerator = import_class(PROP_SETTING.qlib_factor_runner)(scen)
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qlib_factor_summarizer: HypothesisExperiment2Feedback = import_class(PROP_SETTING.qlib_factor_summarizer)()
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trace = Trace(scen=scen)
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for _ in range(PROP_SETTING.evolving_n):
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hypothesis = hypothesis_gen.gen(trace)
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exp = hypothesis2experiment.convert(hypothesis, trace)
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exp = qlib_factor_coder.generate(exp)
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exp = qlib_factor_runner.generate(exp)
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feedback = qlib_factor_summarizer.generateFeedback(exp, hypothesis, trace)
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trace.hist.append((hypothesis, exp, feedback))
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