Aime Summary

On August 13, 2025, <a data-code="FCX" data-position="stock.1" data-marketid="169" data-stockname="Freeport-McMoRan" data-type="stock" href="#*f:FCX:sc*#">Freeport-McMoRan</a> (FCX) saw a trading volume of $560 million, ranking 214th in market activity for the day. The stock closed with a 1.40% increase, reflecting modest investor interest amid broader market dynamics. 

The strategy of purchasing the top 500 stocks by daily trading volume and holding them for one day from 2022 to the present has generated moderate returns. The compound annual growth rate (CAGR) stood at 6.98%, while the maximum drawdown reached 15.46% during the backtest period. The approach displayed consistent growth over time, offering a reliable option for investors prioritizing steady returns. However, the notable drawdown observed in mid-2023 underscores the critical role of risk management in navigating volatile market conditions.<visualization data="{&quot;components&quot;: [{&quot;show_type&quot;: &quot;container2&quot;, &quot;uuid&quot;: &quot;cf3c79f0-6980-4e9c-8c74-b38974e1847e&quot;}, {&quot;support_refresh&quot;: true, &quot;show_type&quot;: &quot;jgyXuanguTable1&quot;, &quot;title_config&quot;: {}, &quot;chart_type&quot;: &quot;jgyXuanguTable1&quot;, &quot;data&quot;: {&quot;status_code&quot;: 0, &quot;chunks_info&quot;: &quot;[\&quot;top 500 stocks by trading volume daily return backtest (2022 to present) (500)\&quot;]&quot;, &quot;model_sql&quot;: &quot;select stock_code from ustock_market_data where trading_date = range (&#x27;2022y&#x27;, &#x27;0d&#x27;) group by stock_code order by agg (percentage_change) desc limit 500&quot;, &quot;columns&quot;: [{&quot;label&quot;: &quot;hq_code&quot;, &quot;source&quot;: &quot;fixed_index&quot;, &quot;type&quot;: &quot;STR&quot;, &quot;index_name&quot;: &quot;code&quot;, &quot;key&quot;: &quot;code&quot;}, {&quot;unit&quot;: &quot;&quot;, &quot;label&quot;: &quot;code&quot;, &quot;source&quot;: &quot;index&quot;, &quot;feKey&quot;: &quot;stock code&quot;, &quot;type&quot;: &quot;STR&quot;, &quot;index_name&quot;: &quot; @stock code&quot;, &quot;key&quot;: &quot;stock code&quot;}, {&quot;unit&quot;: &quot;&quot;, &quot;label&quot;: &quot;name&quot;, &quot;source&quot;: &quot;index&quot;, &quot;feKey&quot;: &quot;stock name&quot;, &quot;type&quot;: &quot;STR&quot;, &quot;index_name&quot;: &quot; @stock name&quot;, &quot;key&quot;: &quot;stock name&quot;}, {&quot;unit&quot;: &quot;$&quot;, &quot;label&quot;: &quot; ||price&quot;, &quot;source&quot;: &quot;index&quot;, &quot;feKey&quot;: &quot;Last Price&quot;, &quot;type&quot;: &quot;DOUBLE&quot;, &quot;index_name&quot;: &quot; @Delayed Real-time Price&quot;, &quot;key&quot;: &quot;Last Price&quot;}, {&quot;unit&quot;: &quot;%&quot;, &quot;label&quot;: &quot; ||ratio&quot;, &quot;source&quot;: &quot;index&quot;, &quot;feKey&quot;: &quot;Last Change&quot;, &quot;type&quot;: &quot;DOUBLE&quot;, &quot;index_name&quot;: &quot; @Delayed Real-time Percentage Change&quot;, &quot;key&quot;: &quot;Last Change&quot;}, {&quot;unit&quot;: &quot;%&quot;, &quot;label&quot;: &quot;&quot;, &quot;sort_info&quot;: &quot;desc&quot;, &quot;source&quot;: &quot;field&quot;, &quot;feKey&quot;: &quot;Percentage Change[20220103-20250813]&quot;, &quot;type&quot;: &quot;DOUBLE&quot;, &quot;index_name&quot;: &quot;Percentage Change&quot;, &quot;key&quot;: &quot;Percentage Change[20220103-20250813]&quot;, &quot;timestamp&quot;: &quot;20220103-20250813&quot;}, {&quot;type&quot;: &quot;STR&quot;, &quot;index_name&quot;: &quot;market_code&quot;, &quot;key&quot;: &quot;market_code&quot;}], &quot;datas&quot;: [{&quot;Last Price&quot;: 204.22, &quot;code&quot;: &quot;CLS&quot;, &quot;stock code&quot;: &quot;CLS.N&quot;, &quot;Last Change&quot;: -4.324198, &quot;Percentage Change[20220103-20250813]&quot;: 1734.860737, &quot;market_code&quot;: &quot;169&quot;, &quot;stock name&quot;: &quot;Celestica&quot;}, {&quot;Last Price&quot;: 13.42, &quot;code&quot;: &quot;RGC&quot;, &quot;stock code&quot;: &quot;RGC.O&quot;, &quot;Last Change&quot;: -0.14881, &quot;Percentage Change[20220103-20250813]&quot;: 1501.049869, &quot;market_code&quot;: &quot;186&quot;, &quot;stock name&quot;: &quot;Regencell Bioscience&quot;}, {&quot;Last Price&quot;: 105.2, &quot;code&quot;: &quot;VRNA&quot;, &quot;stock code&quot;: &quot;VRNA.O&quot;, &quot;Last Change&quot;: 0.009507, &quot;Percentage Change[20220103-20250813]&quot;: 1465.47619, &quot;market_code&quot;: &quot;185&quot;, &quot;stock name&quot;: &quot;Verona Pharma&quot;}, {&quot;Last Price&quot;: 141.72, &quot;code&quot;: &quot;MOD&quot;, &quot;stock code&quot;: &quot;MOD.N&quot;, &quot;Last Change&quot;: -0.281452, &quot;Percentage Change[20220103-20250813]&quot;: 1304.558969, &quot;market_code&quot;: &quot;169&quot;, &quot;stock name&quot;: &quot;Modine Manufacturing&quot;}, {&quot;Last Price&quot;: 57, &quot;code&quot;: &quot;DGNX&quot;, &quot;stock code&quot;: &quot;DGNX.O&quot;, &quot;Last Change&quot;: 10.765642999999999, &quot;Percentage Change[20220103-20250813]&quot;: 1290.243902, &quot;market_code&quot;: &quot;186&quot;, &quot;stock name&quot;: &quot;Diginex&quot;}, {&quot;Last Price&quot;: 81.14, &quot;code&quot;: &quot;SLNO&quot;, &quot;stock code&quot;: &quot;SLNO.O&quot;, &quot;Last Change&quot;: -2.663148, &quot;Percentage Change[20220103-20250813]&quot;: 1219.349593, &quot;market_code&quot;: &quot;186&quot;, &quot;stock name&quot;: &quot;Soleno Therapeutics&quot;}, {&quot;Last Price&quot;: 110.14, &quot;code&quot;: &quot;LMB&quot;, &quot;stock code&quot;: &quot;LMB.O&quot;, &quot;Last Change&quot;: 1.129373, &quot;Percentage Change[20220103-20250813]&quot;: 1123.777778, &quot;market_code&quot;: &quot;186&quot;, &quot;stock name&quot;: &quot;Limbach Holdings&quot;}, {&quot;Last Price&quot;: 17.2, &quot;code&quot;: &quot;ADMA&quot;, &quot;stock code&quot;: &quot;ADMA.O&quot;, &quot;Last Change&quot;: 2.625298, &quot;Percentage Change[20220103-20250813]&quot;: 1119.858156, &quot;market_code&quot;: &quot;185&quot;, &quot;stock name&quot;: &quot;ADMA Biologics&quot;}, {&quot;Last Price&quot;: 121.13, &quot;code&quot;: &quot;CRDO&quot;, &quot;stock code&quot;: &quot;CRDO.O&quot;, &quot;Last Change&quot;: -3.389695, &quot;Percentage Change[20220103-20250813]&quot;: 1111.3, &quot;market_code&quot;: &quot;185&quot;, &quot;stock name&quot;: &quot;Credo Technology&quot;}, {&quot;Last Price&quot;: 71.56, &quot;code&quot;: &quot;BLTE&quot;, &quot;stock code&quot;: &quot;BLTE.O&quot;, &quot;Last Change&quot;: -1.6086900000000002, &quot;Percentage Change[20220103-20250813]&quot;: 1092.666667, &quot;market_code&quot;: &quot;186&quot;, &quot;stock name&quot;: &quot;Belite Bio&quot;}], &quot;meta&quot;: {&quot;extra&quot;: {&quot;per_page&quot;: 10, &quot;iwc_column_info&quot;: {}, &quot;chunks_info&quot;: &quot;[\&quot;top 500 stocks by trading volume daily return backtest (2022 to present) (500)\&quot;]&quot;, &quot;data_ext_params&quot;: {&quot;data_add&quot;: 1, &quot;expand_index&quot;: true, &quot;add_index&quot;: 0, &quot;merge_repeat&quot;: false}, &quot;model_sql&quot;: &quot;select stock_code from ustock_market_data where trading_date = range (&#x27;2022y&#x27;, &#x27;0d&#x27;) group by stock_code order by agg (percentage_change) desc limit 500&quot;, &quot;query&quot;: &quot;Top 500 Stocks by Trading Volume Daily Return Backtest (2022 to Present)&quot;, &quot;has_more_data&quot;: true, &quot;query_type&quot;: &quot;intusstock&quot;, &quot;from_language&quot;: &quot;en&quot;, &quot;code_count&quot;: 500, &quot;row_count&quot;: 500, &quot;token&quot;: &quot;0af4215617551323794773327&quot;}}, &quot;dataSize&quot;: 10, &quot;status_msg&quot;: &quot;ok&quot;, &quot;code_count&quot;: 500, &quot;row_count&quot;: 500, &quot;token&quot;: &quot;0af4215617551323794773327&quot;}, &quot;data_config&quot;: {&quot;model_sql&quot;: &quot;select stock_code from ustock_market_data where trading_date = range (&#x27;2022y&#x27;, &#x27;0d&#x27;) group by stock_code order by agg (percentage_change) desc limit 500&quot;, &quot;data_ext_params&quot;: {&quot;data_add&quot;: 1, &quot;expand_index&quot;: true, &quot;add_index&quot;: 0, &quot;merge_repeat&quot;: false}, &quot;query&quot;: &quot;Top 500 Stocks by Trading Volume Daily Return Backtest (2022 to Present)&quot;, &quot;query_type&quot;: &quot;intusstock&quot;}, &quot;category&quot;: &quot;generic&quot;, &quot;config&quot;: {&quot;title_config&quot;: {}, &quot;tbName&quot;: &quot;table1&quot;, &quot;showKlineShape&quot;: false, &quot;display&quot;: {&quot;Last Price&quot;: {&quot;hl&quot;: &quot;Last Change&quot;}, &quot;Last Change&quot;: {&quot;hl&quot;: [{&quot;comp_relation&quot;: &quot;&gt;=&quot;, &quot;comp_with&quot;: &quot;0&quot;, &quot;effect&quot;: &quot;green&quot;}, {&quot;comp_relation&quot;: &quot;&lt;&quot;, &quot;comp_with&quot;: &quot;0&quot;, &quot;effect&quot;: &quot;red&quot;}], &quot;special_unit&quot;: [{&quot;comp_relation&quot;: &quot;any&quot;, &quot;comp_with&quot;: &quot;*&quot;, &quot;effect&quot;: &quot;%&quot;}]}}, &quot;isUrpRenderData&quot;: true, &quot;replaceTxt&quot;: &quot; @&quot;, &quot;render&quot;: {&quot;leftNum&quot;: 1, &quot;merge&quot;: {&quot;code&quot;: {&quot;keys&quot;: [&quot;stock name&quot;], &quot;title&quot;: &quot;Ticker&quot;}}, &quot;kline&quot;: false, &quot;exclude&quot;: [&quot;market_code&quot;, &quot;stock code&quot;, &quot;stock name&quot;], &quot;sort&quot;: &quot;remote&quot;}}, &quot;uuid&quot;: &quot;898747b6-4c72-4b5c-ba95-e0339aa24c26&quot;}], &quot;query_condition&quot;: {&quot;domain&quot;: &quot;intusstock&quot;, &quot;query&quot;: &quot;Top 500 Stocks by Trading Volume Daily Return Backtest (2022 to Present)&quot;, &quot;uuids&quot;: [&quot;cf3c79f0-6980-4e9c-8c74-b38974e1847e&quot;, &quot;898747b6-4c72-4b5c-ba95-e0339aa24c26&quot;]}, &quot;global&quot;: {&quot;query&quot;: &quot;Top 500 Stocks by Trading Volume Daily Return Backtest (2022 to Present)&quot;, &quot;query_type&quot;: &quot;intusstock&quot;}, &quot;data_config&quot;: {&quot;model_sql&quot;: &quot;select stock_code from ustock_market_data where trading_date = range (&#x27;2022y&#x27;, &#x27;0d&#x27;) group by stock_code order by agg (percentage_change) desc limit 500&quot;, &quot;data_ext_params&quot;: {&quot;data_add&quot;: 1, &quot;expand_index&quot;: true, &quot;add_index&quot;: 0, &quot;merge_repeat&quot;: false}, &quot;query&quot;: &quot;Top 500 Stocks by Trading Volume Daily Return Backtest (2022 to Present)&quot;, &quot;query_type&quot;: &quot;intusstock&quot;}, &quot;page&quot;: {&quot;layout&quot;: {&quot;layout_data&quot;: &quot;[{\&quot;children\&quot;: [{\&quot;uuid\&quot;: \&quot;898747b6-4c72-4b5c-ba95-e0339aa24c26\&quot;, \&quot;children\&quot;: [], \&quot;showType\&quot;: \&quot;\&quot;}], \&quot;showType\&quot;: \&quot;container2\&quot;, \&quot;uuid\&quot;: \&quot;cf3c79f0-6980-4e9c-8c74-b38974e1847e\&quot;}]&quot;}, &quot;render_for&quot;: &quot;aigc&quot;, &quot;voice_txt&quot;: &quot;&quot;}}"></visualization>

AInvest

麦克莫兰銅金

FCX Climbs to 214th in Daily Trading Volume as High-Volume Strategy Delivers 6.98% CAGR Amid 15.46% Drawdown

On August 13, 2025, <a data-code="FCX" data-position="stock.1" data-marketid="169" data-stockname="Freeport-McMoRan" data-type="stock" href="#*f:FCX:sc*#">Freeport-McMoRan</a> (FCX) saw a trading volume of $560 million, ranking 214th in market activity for the day. The stock closed with a 1.40% increase, reflecting modest investor interest amid broader market dynamics.

The strategy of purchasing the top 500 stocks by daily trading volume and holding them for one day from 2022 to the present has generated moderate returns. The compound annual growth rate (CAGR) stood at 6.98%, while the maximum drawdown reached 15.46% during the backtest period. The approach displayed consistent growth over time, offering a reliable option for investors prioritizing steady returns. However, the notable drawdown observed in mid-2023 underscores the critical role of risk management in navigating volatile market conditions.

FCX Climbs to 214th in Daily Trading Volume as High-Volume Strategy Delivers 6.98% CAGR Amid 15.46% Drawdown

Latest Articles

Stay ahead of the market.

Comments

AInvest
PRO

AInvest

FCX Climbs to 214th in Daily Trading Volume as High-Volume Strategy Delivers 6.98% CAGR Amid 15.46% Drawdown

Latest Articles

Stay ahead of the market.

Comments

AInvestPRO

AInvest

AInvest
PRO