We　investigate　financial　market　dynamics　by　introducing　a　heterogeneous　agent-based　opinion　formation　model.　In　this　work,　we　organize　individuals　in　a　financial　market　according　to　their　trading　strategy,　namely,　whether　they　are　noise　traders　or　fundamentalists.　The　opinion　of　a　local　majority　compels　the　market　exchanging　behavior　of　noise　traders,　whereas　the　global　behavior　of　the　market　influences　the　decisions　of　fundamentalist　agents.　We　introduce　a　noise　parameter,　q,　to　represent　the　level　of　anxiety　and　perceived　uncertainty　regarding　market　behavior,　enabling　the　possibility　of　adrift　financial　action.　We　place　individuals　as　nodes　in　an　Erdos-Renyi　random　graph,　where　the　links　represent　their　social　interactions.　At　any　given　time,　individuals　assume　one　of　two　possible　opinion　states　similar　to　1　regarding　buying　or　selling　an　asset.　The　model　exhibits　fundamental　qualitative　and　quantitative　real-world　market　features　such　as　the　distribution　of　logarithmic　returns　with　fat　tails,　clustered　volatility,　and　the　long-term　correlation　of　returns.　We　use　Student＇s　t　distributions　to　fit　the　histograms　of　logarithmic　returns,　showing　a　gradual　shift　from　a　leptokurtic　to　a　mesokurtic　regime　depending　on　the　fraction　of　fundamentalist　agents.　Furthermore,　we　compare　our　results　with　those　concerning　the　distribution　of　the　logarithmic　returns　of　several　real-world　financial　indices.