Macroaxis: Personalized Investing
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United States GSPC USD ...  |  Investing Themes


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Assets traded in Italy

    
United StatesUnited KingdomGermanyChinaHKIndiaMexicoFranceBrazilRepublic of KoreaTaiwan Province Of ChinaCanadaArgentinaNew ZealandAustriaNorwayItalySpainSwedenSwitzerlandIsraelIndonesiaSingaporeAustraliaIrelandNetherlandsMalaysiaGreeceJapanDenmarkBelgiumRussiaZZ
0  1  2  3  4  5  6  7  8  9  A  B  C  D  E  F  G  H  I  J  K  L  M  N  O  P  Q  R  S  T  U  V  W  X  Y  Z

Italy HY  Lyxor ETF iBoxx EUR Liq Hi Yld 30 ExFin  ETF  Milan 
Italy HLT  LETF EU600 HEALT  ETF  Milan 
Italy HELVETIADOMA  Helvetia Domani Azionario  Fund  Milan 
Italy HEAF  DJUBSHO3-ETFS  ETF  Milan 
Italy HELVETIADO  Helvetia Domani Azionario  Fund  Milan 
Italy HLTU  Lyxor ETF S P 500 Cppd HlthCareSctrCEUR  ETF  Milan 
Italy HER  Hera SpA  Stock  Milan 
Italy HK  Lyxor ETF Hong Kong HSI  ETF  Milan 
Italy F000001V0Y  Helvetia Domani Bilanciato  Fund  Milan 
Italy HEAT  DJUBSHO-ETFS  ETF  Milan 
Italy HOGF  DJUBSLH3-ETFS  ETF  Milan 
Italy HLTW  MUL LY W HEAL C CC  ETF  Milan 
Italy F000001V0Z  Helvetia Domani Garantito  Fund  Milan 
Italy F000001V14  Helvetia Domani Obbligazionario  Fund  Milan 
Italy X92961  HICP-MS 16VRN REGS  ETF  Milan 
Italy HOGS  DJUBSLH-ETFS  ETF  Milan 

 
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Alpha Finder
Use alpha and beta coefficients to find investment opportunities after accounting for the risk
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Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals, sectors and families
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Find insiders across different sectors to evaluate their impact on performance and growth of their entities
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Before comparing or considering investments, it is better to perform a risk-adjusted return calculation that will adjust the returns according to how risky the investments are.
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An investor can reduce portfolio risk simply by holding instruments which are not perfectly correlated. Correlation analysis module will build a two-dimensional matrix that shows correlation coefficient between pairs of securities. The cells in the table are color-coded to highlight significantly positive and negative relationships.
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