{"payload":{"header_redesign_enabled":false,"results":[{"id":"519601265","archived":false,"color":"#DA5B0B","followers":0,"has_funding_file":false,"hl_name":"Mun-Min/Pandas_Portfolio_Analysis","hl_trunc_description":"Determine which portfolio is performing the best across multiple areas: volatility, returns, risk, and Sharpe ratios. A tool that analyze…","language":"Jupyter Notebook","mirror":false,"owned_by_organization":false,"public":true,"repo":{"repository":{"id":519601265,"name":"Pandas_Portfolio_Analysis","owner_id":108703181,"owner_login":"Mun-Min","updated_at":"2022-08-04T19:51:21.073Z","has_issues":true}},"sponsorable":false,"topics":["data-visualization","data-analysis","quantitative-finance","pandas-python"],"type":"Public","help_wanted_issues_count":0,"good_first_issue_issues_count":0,"starred_by_current_user":false}],"type":"repositories","page":1,"page_count":1,"elapsed_millis":83,"errors":[],"result_count":1,"facets":[],"protected_org_logins":[],"topics":null,"query_id":"","logged_in":false,"sign_up_path":"/signup?source=code_search_results","sign_in_path":"/login?return_to=https%3A%2F%2Fgithub.com%2Fsearch%3Fq%3Drepo%253AMun-Min%252FPandas_Portfolio_Analysis%2B%2Blanguage%253A%2522Jupyter%2BNotebook%2522","metadata":null,"csrf_tokens":{"/Mun-Min/Pandas_Portfolio_Analysis/star":{"post":"mQJcDhXCbaihXcPJ_Jhn6ZW9Ns4gw5D6h2ohNPicl9LCiwFemAgd_xJ6nFhKR1l_P7-x3smjk1guj0NL5hwP1g"},"/Mun-Min/Pandas_Portfolio_Analysis/unstar":{"post":"Qe9_bfiA4mKiRGHEh8QUt0RTG65lTB_py4W7PVU3brsvOf1e9APWZql4cNF4lVWwI6E034WKRvlVQvp3dsPLoQ"},"/sponsors/batch_deferred_sponsor_buttons":{"post":"EwRz0dsoXpHl6boC66fTMWzDLiHOVdLk1w359bUBuZQdwGAA56WGJNXKbjG9-THZPYGyb7qnnvM5IOBKQkqPcg"}}},"title":"Repository search results"}