This　paper　revisits　the　dynamic　MV　portfolio　selection　problem　with　cone　constraints　in　continuous-time.　We　first　reformulate　our　constrained　MV　portfolio　selection　model　into　a　special　constrained　LQ　optimal　control　model　and　develop　the　optimal　portfolio　policy　of　our　model.　In　addition,　we　provide　an　alternative　method　to　resolve　this　dynamic　MV　portfolio　selection　problem　with　cone　constraints.　More　specifically,　instead　of　solving　the　correspondent　HJB　equation　directly,　we　develop　the　optimal　solution　for　this　problem　by　using　the　special　properties　of　value　function　induced　from　its　model　structure,　such　as　the　monotonicity　and　convexity　of　value　function.　Finally,　we　provide　an　example　to　illustrate　how　to　use　our　solution　in　real　application.　The　illustrative　example　demonstrates　that　our　dynamic　MV　portfolio　policy　dominates　the　static　MV　portfolio　policy.　©　2021　by　the　authors.　Licensee　MDPI,　Basel,　Switzerland.