jerry/OpenBB
1
0
Fork 0
mirror of https://github.com/OpenBB-finance/OpenBB.git synced 2026-11-09 10:51:57 +00:00
Code Issues Packages Projects Releases Wiki Activity
Files
ba7678680fc5ec5d9b36afbbe62bab30472fc2a7
OpenBB/assets/js/5ae05dcb.0c7ac850.js
github-actions[bot] c8e14f3cc6 deploy: 917b2bb44c
2022-12-15 21:02:29 +00:00

1 line
14 KiB
JavaScript
Raw Blame History

"use strict";(self.webpackChunkdocs=self.webpackChunkdocs||[]).push([[34368],{3905:(e,t,a)=>{a.d(t,{Zo:()=>p,kt:()=>m});var r=a(67294);function n(e,t,a){return t in e?Object.defineProperty(e,t,{value:a,enumerable:!0,configurable:!0,writable:!0}):e[t]=a,e}function l(e,t){var a=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),a.push.apply(a,r)}return a}function o(e){for(var t=1;t<arguments.length;t++){var a=null!=arguments[t]?arguments[t]:{};t%2?l(Object(a),!0).forEach((function(t){n(e,t,a[t])})):Object.getOwnPropertyDescriptors?Object.defineProperties(e,Object.getOwnPropertyDescriptors(a)):l(Object(a)).forEach((function(t){Object.defineProperty(e,t,Object.getOwnPropertyDescriptor(a,t))}))}return e}function i(e,t){if(null==e)return{};var a,r,n=function(e,t){if(null==e)return{};var a,r,n={},l=Object.keys(e);for(r=0;r<l.length;r++)a=l[r],t.indexOf(a)>=0||(n[a]=e[a]);return n}(e,t);if(Object.getOwnPropertySymbols){var l=Object.getOwnPropertySymbols(e);for(r=0;r<l.length;r++)a=l[r],t.indexOf(a)>=0||Object.prototype.propertyIsEnumerable.call(e,a)&&(n[a]=e[a])}return n}var s=r.createContext({}),u=function(e){var t=r.useContext(s),a=t;return e&&(a="function"==typeof e?e(t):o(o({},t),e)),a},p=function(e){var t=u(e.components);return r.createElement(s.Provider,{value:t},e.children)},d={inlineCode:"code",wrapper:function(e){var t=e.children;return r.createElement(r.Fragment,{},t)}},c=r.forwardRef((function(e,t){var a=e.components,n=e.mdxType,l=e.originalType,s=e.parentName,p=i(e,["components","mdxType","originalType","parentName"]),c=u(a),m=n,k=c["".concat(s,".").concat(m)]||c[m]||d[m]||l;return a?r.createElement(k,o(o({ref:t},p),{},{components:a})):r.createElement(k,o({ref:t},p))}));function m(e,t){var a=arguments,n=t&&t.mdxType;if("string"==typeof e||n){var l=a.length,o=new Array(l);o[0]=c;var i={};for(var s in t)hasOwnProperty.call(t,s)&&(i[s]=t[s]);i.originalType=e,i.mdxType="string"==typeof e?e:n,o[1]=i;for(var u=2;u<l;u++)o[u]=a[u];return r.createElement.apply(null,o)}return r.createElement.apply(null,a)}c.displayName="MDXCreateElement"},10942:(e,t,a)=>{a.r(t),a.d(t,{assets:()=>p,contentTitle:()=>s,default:()=>m,frontMatter:()=>i,metadata:()=>u,toc:()=>d});var r=a(87462),n=(a(67294),a(3905)),l=a(65099),o=a(85162);const i={title:"beta",description:"OpenBB SDK Function"},s="beta",u={unversionedId:"reference/stocks/qa/beta",id:"reference/stocks/qa/beta",title:"beta",description:"OpenBB SDK Function",source:"@site/content/sdk/reference/stocks/qa/beta.md",sourceDirName:"reference/stocks/qa",slug:"/reference/stocks/qa/beta",permalink:"/sdk/reference/stocks/qa/beta",draft:!1,editUrl:"https://github.com/OpenBB-finance/OpenBBTerminal/edit/main/website/content/sdk/reference/stocks/qa/beta.md",tags:[],version:"current",frontMatter:{title:"beta",description:"OpenBB SDK Function"},sidebar:"tutorialSidebar",previous:{title:"qa",permalink:"/sdk/reference/stocks/qa/"},next:{title:"capm",permalink:"/sdk/reference/stocks/qa/capm"}},p={},d=[{value:"Parameters",id:"parameters",level:2},{value:"Returns",id:"returns",level:2},{value:"Parameters",id:"parameters-1",level:2},{value:"Returns",id:"returns-1",level:2}],c={toc:d};function m(e){let{components:t,...a}=e;return(0,n.kt)("wrapper",(0,r.Z)({},c,a,{components:t,mdxType:"MDXLayout"}),(0,n.kt)("h1",{id:"beta"},"beta"),(0,n.kt)(l.Z,{mdxType:"Tabs"},(0,n.kt)(o.Z,{value:"model",label:"Model",default:!0,mdxType:"TabItem"},(0,n.kt)("p",null,"Calculate beta for a ticker and a reference ticker."),(0,n.kt)("p",null,"Source Code: [",(0,n.kt)("a",{parentName:"p",href:"https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/stocks/quantitative_analysis/beta_model.py#L11"},"link"),"]"),(0,n.kt)("pre",null,(0,n.kt)("code",{parentName:"pre",className:"language-python",metastring:"wordwrap",wordwrap:!0},"openbb.stocks.qa.beta(symbol: str, ref_symbol: str, data: pd.DataFrame = None, ref_data: pd.DataFrame = None, interval: int = 1440)\n")),(0,n.kt)("hr",null),(0,n.kt)("h2",{id:"parameters"},"Parameters"),(0,n.kt)("table",null,(0,n.kt)("thead",{parentName:"table"},(0,n.kt)("tr",{parentName:"thead"},(0,n.kt)("th",{parentName:"tr",align:null},"Name"),(0,n.kt)("th",{parentName:"tr",align:null},"Type"),(0,n.kt)("th",{parentName:"tr",align:null},"Description"),(0,n.kt)("th",{parentName:"tr",align:null},"Default"),(0,n.kt)("th",{parentName:"tr",align:null},"Optional"))),(0,n.kt)("tbody",{parentName:"table"},(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"symbol"),(0,n.kt)("td",{parentName:"tr",align:null},"str"),(0,n.kt)("td",{parentName:"tr",align:null},"A ticker to calculate beta for"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"False")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"ref_symbol"),(0,n.kt)("td",{parentName:"tr",align:null},"str"),(0,n.kt)("td",{parentName:"tr",align:null},"A reference ticker symbol for the beta calculation (default in terminal is SPY)"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"False")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"data"),(0,n.kt)("td",{parentName:"tr",align:null},"pd.DataFrame"),(0,n.kt)("td",{parentName:"tr",align:null},"The selected ticker symbols price data"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"True")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"ref_data"),(0,n.kt)("td",{parentName:"tr",align:null},"pd.DataFrame"),(0,n.kt)("td",{parentName:"tr",align:null},"The reference ticker symbols price data"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"True")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"interval"),(0,n.kt)("td",{parentName:"tr",align:null},"int"),(0,n.kt)("td",{parentName:"tr",align:null},"The interval of the ref_data. This will ONLY be used if ref_data is None"),(0,n.kt)("td",{parentName:"tr",align:null},"1440"),(0,n.kt)("td",{parentName:"tr",align:null},"True")))),(0,n.kt)("hr",null),(0,n.kt)("h2",{id:"returns"},"Returns"),(0,n.kt)("table",null,(0,n.kt)("thead",{parentName:"table"},(0,n.kt)("tr",{parentName:"thead"},(0,n.kt)("th",{parentName:"tr",align:null},"Type"),(0,n.kt)("th",{parentName:"tr",align:null},"Description"))),(0,n.kt)("tbody",{parentName:"table"},(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"Tuple","[pd.Series, pd.Series, float, float]"),(0,n.kt)("td",{parentName:"tr",align:null},"Stock ticker symbols close-to-close returns, Reference ticker symbols close-to-close returns, beta, alpha")))),(0,n.kt)("hr",null)),(0,n.kt)(o.Z,{value:"view",label:"Chart",mdxType:"TabItem"},(0,n.kt)("p",null,"Display the beta scatterplot + linear regression."),(0,n.kt)("p",null,"Source Code: [",(0,n.kt)("a",{parentName:"p",href:"https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/stocks/quantitative_analysis/beta_view.py#L18"},"link"),"]"),(0,n.kt)("pre",null,(0,n.kt)("code",{parentName:"pre",className:"language-python",metastring:"wordwrap",wordwrap:!0},'openbb.stocks.qa.beta_chart(symbol: str, ref_symbol: str, data: pd.DataFrame = None, ref_data: pd.DataFrame = None, interval: int = 1440, export: str = "")\n')),(0,n.kt)("hr",null),(0,n.kt)("h2",{id:"parameters-1"},"Parameters"),(0,n.kt)("table",null,(0,n.kt)("thead",{parentName:"table"},(0,n.kt)("tr",{parentName:"thead"},(0,n.kt)("th",{parentName:"tr",align:null},"Name"),(0,n.kt)("th",{parentName:"tr",align:null},"Type"),(0,n.kt)("th",{parentName:"tr",align:null},"Description"),(0,n.kt)("th",{parentName:"tr",align:null},"Default"),(0,n.kt)("th",{parentName:"tr",align:null},"Optional"))),(0,n.kt)("tbody",{parentName:"table"},(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"symbol"),(0,n.kt)("td",{parentName:"tr",align:null},"str"),(0,n.kt)("td",{parentName:"tr",align:null},"A ticker to calculate beta for"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"False")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"ref_symbol"),(0,n.kt)("td",{parentName:"tr",align:null},"str"),(0,n.kt)("td",{parentName:"tr",align:null},"A reference ticker symbol for the beta calculation (default in terminal is SPY)"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"False")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"data"),(0,n.kt)("td",{parentName:"tr",align:null},"pd.DataFrame"),(0,n.kt)("td",{parentName:"tr",align:null},"The selected ticker symbols price data"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"True")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"ref_data"),(0,n.kt)("td",{parentName:"tr",align:null},"pd.DataFrame"),(0,n.kt)("td",{parentName:"tr",align:null},"The reference ticker symbols price data"),(0,n.kt)("td",{parentName:"tr",align:null},"None"),(0,n.kt)("td",{parentName:"tr",align:null},"True")),(0,n.kt)("tr",{parentName:"tbody"},(0,n.kt)("td",{parentName:"tr",align:null},"interval"),(0,n.kt)("td",{parentName:"tr",align:null},"int"),(0,n.kt)("td",{parentName:"tr",align:null},"The interval of the ref_data. This will ONLY be used if ref_data is None"),(0,n.kt)("td",{parentName:"tr",align:null},"1440"),(0,n.kt)("td",{parentName:"tr",align:null},"True")))),(0,n.kt)("hr",null),(0,n.kt)("h2",{id:"returns-1"},"Returns"),(0,n.kt)("p",null,"This function does not return anything"),(0,n.kt)("hr",null))))}m.isMDXComponent=!0},85162:(e,t,a)=>{a.d(t,{Z:()=>o});var r=a(67294),n=a(86010);const l="tabItem_Ymn6";function o(e){let{children:t,hidden:a,className:o}=e;return r.createElement("div",{role:"tabpanel",className:(0,n.Z)(l,o),hidden:a},t)}},65099:(e,t,a)=>{a.d(t,{Z:()=>b});var r=a(87462),n=a(67294),l=a(10412),o=a(86010),i=a(72389),s=a(67392),u=a(7094),p=a(12466);const d="tabItem_hGfb";var c=a(16550);function m(){const e=function(){const e=l.Z.canUseDOM?navigator.userAgent:"";return e.indexOf("Windows")>-1?"Windows":e.indexOf("Mac")>-1?"Mac":e.indexOf("X11")>-1?"UNIX":e.indexOf("Linux")>-1?"Linux":"Other"}();return"Windows"===e?"windows":"Mac"===e?"mac":"Linux"===e||"UNIX"===e?"python":"windows"}function k(e){var t;const{lazy:a,block:l,defaultValue:i,values:k,groupId:b,className:f}=e,N=n.Children.map(e.children,(e=>{if((0,n.isValidElement)(e)&&"value"in e.props)return e;throw new Error(`Docusaurus error: Bad <Tabs> child <${"string"==typeof e.type?e.type:e.type.name}>: all children of the <Tabs> component should be <TabItem>, and every <TabItem> should have a unique "value" prop.`)})),g=k??N.map((e=>{let{props:{value:t,label:a,attributes:r}}=e;return{value:t,label:a,attributes:r}})),h=(0,s.l)(g,((e,t)=>e.value===t.value));if(h.length>0)throw new Error(`Docusaurus error: Duplicate values "${h.map((e=>e.value)).join(", ")}" found in <Tabs>. Every value needs to be unique.`);const y=null===i?i:i??(null==(t=N.find((e=>e.props.default)))?void 0:t.props.value)??N[0].props.value;if(null!==y&&!g.some((e=>e.value===y)))throw new Error(`Docusaurus error: The <Tabs> has a defaultValue "${y}" but none of its children has the corresponding value. Available values are: ${g.map((e=>e.value)).join(", ")}. If you intend to show no default tab, use defaultValue={null} instead.`);const{tabGroupChoices:v,setTabGroupChoices:w}=(0,u.U)(),{pathname:O,search:T}=(0,c.TH)(),x=function(e,t){const a=e.substring(1).split("&");for(let r=0;r<a.length;r++){let e=a[r].split("=");if(decodeURIComponent(e[0])==t)return decodeURIComponent(e[1])}return null}(T,"tab"),D=m(),[E,_]=(0,n.useState)(O.startsWith("/terminal/quickstart/installation")?x&&["mac","windows","python","docker"].includes(x)?x:D:y),B=[],{blockElementScrollPositionUntilNextRender:P}=(0,p.o5)();if(null!=b){const e=v[b];null!=e&&e!==E&&g.some((t=>t.value===e))&&_(e)}const C=e=>{const t=e.currentTarget,a=B.indexOf(t),r=g[a].value;r!==E&&(P(t),_(r),null!=b&&w(b,String(r)))},S=e=>{var t;let a=null;switch(e.key){case"Enter":C(e);break;case"ArrowRight":{const t=B.indexOf(e.currentTarget)+1;a=B[t]??B[0];break}case"ArrowLeft":{const t=B.indexOf(e.currentTarget)-1;a=B[t]??B[B.length-1];break}}null==(t=a)||t.focus()};return n.createElement("div",null,n.createElement("ul",{role:"tablist","aria-orientation":"horizontal",className:(0,o.Z)("_group-tab list-none -ml-7 my-6 overflow-auto")},g.map((e=>{let{value:t,label:a,attributes:l}=e;return n.createElement("li",(0,r.Z)({role:"tab",tabIndex:E===t?0:-1,"aria-selected":E===t,key:t,ref:e=>B.push(e),onKeyDown:S,onClick:C},l,{className:(0,o.Z)("font-bold tracking-widest w-fit px-3 inline-flex py-1 uppercase border-b text-lg cursor-pointer",d,null==l?void 0:l.className,{"border-b-2 pointer-events-none":E===t,"border-b-2 text-[#669dcb] border-[#669dcb]":E===t&&O.startsWith("/terminal"),"border-b-2 text-[#FB923C] border-[#FB923C]":E===t&&O.startsWith("/sdk"),"border-grey-400 text-grey-400 hover:text-[#ffd4b1] hover:border-[#ffd4b1]":E!==t&&O.startsWith("/sdk"),"border-grey-400 text-grey-400 hover:text-[#abd2f1] hover:border-[#abd2f1]":E!==t&&O.startsWith("/terminal")})}),a??t)})),n.createElement("li",{className:"w-full border-b border-grey-400 pointer-events-none py-1 mb-[12px]"})),a?(0,n.cloneElement)(N.filter((e=>e.props.value===E))[0],{className:"margin-top--md"}):n.createElement("div",{className:"margin-top--md"},N.map(((e,t)=>(0,n.cloneElement)(e,{key:t,hidden:e.props.value!==E})))))}function b(e){const t=(0,i.Z)();return n.createElement(k,(0,r.Z)({key:String(t)},e))}}}]);
Reference in New Issue View Git Blame Copy Permalink