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CTA-Strategy_Grid-Trading_Commodity-Arbitrage
CTA-Strategy_Grid-Trading_Commodity-Arbitrage PublicThe grid trading method fundamentally relies on regression. It typically confronts systemic risk with single assets, prompting a shift towards correlated asset portfolios to hedge systemic risk thr…
Python 1
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CTA-Strategy_Price-Volume-Factors
CTA-Strategy_Price-Volume-Factors PublicThis strategy targets China's futures market, analyzing sectors like metals, energy, agriculture, and precious metals. It uses four factors—momentum in time series, cross-sectional momentum, term s…
Python
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CTA-Strategy_Machine-learning_commodity-fundamentals
CTA-Strategy_Machine-learning_commodity-fundamentals PublicAs the excess returns of public factors gradually narrow, it is worthwhile to explore multi-faceted and multi-angle CTA factors. This strategy, with respect to the underlying fundamental logic as …
Python
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CTA-Strategy_Fundamental-data-mining
CTA-Strategy_Fundamental-data-mining PublicWe target commodities with robust liquidity, market engagement, and sound structure, possessing strong trading traits. Starting with fundamental data analysis, we adhere to subjective logic. Applyi…
Python
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FOF_SmartBeta_Growth-Value
FOF_SmartBeta_Growth-Value PublicValue and growth styles are widely defined and attract significant market attention. This strategy primarily focuses on researching these two sectors. By employing market capitalization weighting a…
Python
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FOF_Asset-Allocation_VAR
FOF_Asset-Allocation_VAR PublicThis study applies VAR to economic fundamentals and financial environments, including overseas, valuation, market sentiment, inflation, and economic momentum data, to test its efficacy in predictin…
Python
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