Consuming data from programmable web based API’s is growing rapidly. It enables programmatic support for searching, clipping, ordering, and viewing satellite imagery on a map. But, theirs is focused on giving you RSS feeds for company information. r/Python: news about the dynamic, interpreted, interactive, object-oriented, extensible programming language Python. Learn More » View Pricing ‹ ›. If someone here happens to know of a way to do it in VB. This creates a new query that references the stock ticker table. The getHistory API is used to request historical time series data on stocks, indexes, mutual funds, ETFs, futures, foreign exchange, cash commodities or cryptocurrencies. It has access to realtime data of various stock exchanges around the world like NASDAQ, NSE of India etc. This is known as providing an application programming interface (API). OAuth2 seems to be quite a mess at first and Google’s. The starting code that we're going to be using (which was covered in the previous tutorial) is: import. The purpose of this library is to allow people to make their own robo-investors or to view stock information in real time. Simple Query API. Start with Raspbian - has Python and the Thonny IDE pre-installed. Being a huge fan of python, I wanted to try out bokeh, which touts interactive visualizations using pure python. You can use any programming language you like to build your own winning strategy based on our Guru/Insider/Financial data. 4 Install Python 5 Create a Virtual Environment 6 Install Django and Startproject 7 Django Admin Area. Open Excel and use the Bloomberg toolbar or drop-down menu: Table Wizard: Download current data ranging from ticker symbols and stock prices to complex calculations such as duration and risk. It currently contains 237,000 data series and it continues to expand. 0 documentation pydata/pandas-datareader 以前はpandas. Sometimes, that data is provided to us by website creators via. The web platform is pretty basic, but there's a hidden amount of versatility which is unlocked through the web API -- API scripts for querying. It's even a refreshingly simple one. Realtime dashboard to show the guest experiences expressed on Twitter, including sentiment analysis based on Trip Advisor data. For these calls, data are returned as a pandas. 8 Python API In Blender 2. Quick example of retrieving stock quotes from Google Finance in Python:#!/usr/bin/env python import json import pprint import urllib2 def. This API is hidden but does not seem to be very well-known. In these posts, I will discuss basics such as obtaining the data from Yahoo! Finance using pandas, visualizing stock data, moving averages. Ready to use historical and live market data solutions. 100% free with unlimited API calls. The API historical data functionality pulls certain types of data from TWS charts or the historical Time&Sales Window. io helps you find new open. instrument – The a stock instrument code to query. A new data connector for data provided by the Bank of Canada was introduced. Sometimes, that data is provided to us by website creators via. You can use any programming language you like to build your own winning strategy based on our Guru/Insider/Financial data. ggplot, more: ggplot for python; gviz_data_table: Python API for Google Visualization. Gathering stock data with Python following the demise of Yahoo Finance (Cameron Nugent) - Duration: 10:40. To get your own API key, you will need to create a free Quandl account and set your API key. The IEX-API-Python module is designed to map closely to the API from IEX. Forecasting stocks with Python is actually really easy to do with the fbProphet model developed by Facebook. As for sending data back and forth, the JSON format is very popular. Quandl: Getting End of Day Stock Data with Python make a free account and let’s start pulling some data with the help of Quandl’s Python API. stock_data = DataReader(ticker, data_source, start, end) In the first chapter, you learned that a stock ticker is the unique symbol needed to get stock information for a certain company. First one uses googlefinance api, and the next uses web scraping. As you may have heard from the Google Developers Blog, Google is doing an API spring cleaning. Recently Yahoo Finance discontinued its Free API service to retrive quotes and historical stock market data and the service dead now. Yahoo finance provides a great and simple way to download free stock quotes. TA-Lib - TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data. Download and unzip the contents to a temporary directory. If you're new to data science with Python I highly recommend reading A modern guide to getting started with Data Science and Python. Almost every exchange of any size has something called an API which we can all use to get the data we need for free. This short Instructable will show you how install a stock querying library to get (mostly) realtime stock prices using Yahoo Finance API. This API call will form the basis of an automated script which we will write below to download a subset of the entire historical futures contract. It is better to install pip according to system OS, and then try to follow the standard way for installing Scrapy. The following are code examples for showing how to use pandas_datareader. The Python standard for database interfaces is the Python DB-API. Using Python to Plot Stock Prices In the past few articles, I have posted about how to use different web services to obtain stock data, both historical and "real time". Generally I'm only getting end of day data but sometimes query for intraday spot prices (20 minute lag) using the same API. The API historical data functionality pulls certain types of data from TWS charts or the historical Time&Sales Window. Learn More » View Pricing ‹ ›. The goal here is to predict/estimate the stock index price based on two Macroeconomics variables: the Interest rate and the Unemployment rate. Things to do before you upload: Make an account and set your authentication token within the package with the Quandl. NET, that would be great too!! Thanks everyone. Transparent SSL client authorization. Yelp Local search website Api Documentation A Python wrapper for the Yelp v2. OData helps you focus on your business logic while building RESTful APIs without having to worry about the various approaches to define request and response headers, status codes, HTTP methods, URL conventions, media types, payload formats, query. Accessing Google APIs from Python Now that you're set up, everything else is done on the Python side. However since it's demise a new data API from Alpha Vantage has arisen. It is basically a small part of a Python wrapper for the API (I guess). Python is a widely-used general-purpose programming language that lets you work quickly and integrate systems more effectively. The list of different ways to use Twitter could be really long, and with 500 millions of tweets per day, there's a lot of data to analyse and to play with. First we import the. Twitter’s API is immensely useful in data mining applications, and can provide vast insights into the public opinion. Despite this heartbreaking setback, there is a silver lining: the same key principles apply to any HTTP API, using any data format. Next, we will store the data temporarily on our disk space. We can use a method of the Stocker object to plot the entire history of the stock. First we need to get the HTML source for the page. Stock data is now available on IEX Cloud. I'm working on some new projects involving getting stock price data from the web, which will be tracked and displayed via my Raspberry Pi. E*TRADE is not responsible for the accuracy of market data displayed on API or made available by Third Party providers. The following assumes that you have a Python 3. This library aims to create simple to use functions to interact with the Robinhood API. Get Started. io Competitive Analysis, Marketing Mix and Traffic. but a very similar API. Morningstar's Equity Data API allows you to rapidly develop applications backed by one of the largest and most complete global databases in the industry. Tap into world’s most accurate, comprehensive, and deep interlinked database of : perform detailed searches on 10+ billion entities and get rich structured data from every web page in the world. As a result, my library, yfinance, gained momentum and was downloaded over 100,000 acording to PyPi. Data for securities which are no longer trading. See Python in-built csv. Key design principles: out-of-core computation, fast and robust learning algorithms, easy-to-use Python API, and fast deployment of arbitrary Python objects. Here some adjusts in URL, columns order and a "main" call: #!/usr/bin/env python """ Retrieve intraday stock data from Google Finance. I wanted to share the setup on how to do this using Python. The following assumes that you have a Python 3. Learn how to quickly set up the OAuth SDK in Python and learn about eBay OAuth best practices. Excel, Python, PHP/Laravel, Java API Examples / Python Stock API Example A simple Python example was written for us by Femto Trader. Instead, I intend to provide you with basic tools for handling and analyzing stock market data with Python. based character in the Iron Man films. While the data is not exactly very structured, being able to scrape it might give you a very good insight into the historical performance of the stocks of a company. This creates a new query that references the stock ticker table. which is a specific type of data from their API. Qualdl API. The Quandl Python module is free but you must have a Quandl API key in order to download data. I’m working on some new projects involving getting stock price data from the web, which will be tracked and displayed via my Raspberry Pi. Building a Stock Options Historical Database At the time I was reading the excellent book "Python for Data Analysis" by Wes McKinney and got an idea for how to. Is there another broker that has a better stock trading API for Python? Inspired by Which brokers offer a. First one uses googlefinance api, and the next uses web scraping. Description. This is the official documentation for Quandl's Python package. Using Python to Plot Stock Prices In the past few articles, I have posted about how to use different web services to obtain stock data, both historical and "real time". In this Python API tutorial, we'll learn how to retrieve data for data science projects. Sometimes, that data is provided to us by website creators via. based character in the Iron Man films. I'm wondering if someone here knows where I can find a good tutorial that shows how to use an API (Google or Yahoo) or get stock data using C#. This API is hidden but does not seem to be very well-known. LEARN DJANGO FOR WEB DEVELOPMENT 8 Startapp 9 API FOR Loop 10 Format API Results 11 Form Part 1 12 Form Part 2 13 Form Recap 14 Add Stock Page 15 Stock Class Model 16 Add Model To Admin Area 17 Output Database to Webpage 18 Add Stock Ticker To. Last week thousands of fintech developers scrambled to find a Yahoo Finance API replacement. By default, the script downloads data from Google, but in the command line you can instruct the script to get data from Quandl; you will need a Quandl API key if you do so. IBKR API Software. There's an unofficial Yahoo Finance API available on RapidAPI. With more than 330 million active users, it is one of the top platforms where people like to share. Python Pandas are one of the most used libraries in Python when it comes to data analysis and manipulation. Selecting data from Index constituents that have increased dividends over last 5 years 1 Answer. Lets write a python script to fetch live stock quotes from Google finance. The data that we scraped are from the summary page of a company in Yahoo Finance. Stockstats currently has about 26 stats and stock market indicators included. How Can I Get Unadjusted OHLCV Data? 1 Answer. The newest is the Eurex VALUES API. A simple python script to retrieve key financial metrics for all stocks from Google Finance Screener. Because we are interested in using the futures data long-term as part of a wider securities master database strategy we want to store the futures data to disk. # A method (function) requires parentheses microsoft. Popular Stock API Articles. When you work on web applications for large organizations and enterprises, I am sure you have. Building a Stock Options Historical Database At the time I was reading the excellent book "Python for Data Analysis" by Wes McKinney and got an idea for how to. Since pandas has a simple remote data access for the Yahoo Finance API data, this is as simple as: Update (4/14/18): Yahoo Finance API issue Yahoo finance has changed the structure of its website and as a result the most popular Python packages for retrieving data have stopped functioning properly. You can get stock data in CSV format by hitting the following URL:. How the Free Yahoo Finance API Works. com, using Python and LXML in this web scraping tutorial. Example of Multiple Linear Regression in Python. If you are into movies you may have heard of Jarvis, an A. Software: We'll use Python in combination with the powerful data analysis library pandas, plus a few additional Python packages. (7 replies) I would like to download stock quotes from the web, store them, do calculations and sort the results. TestLink-API-Python-client is a Python XML-RPC client for TestLink Initially based on James Stock testlink-api-python-client R7 and Olivier Renault JinFeng idea - an interaction of TestLink, Robot Framework and Jenkins. Thanks to Thomas who posted a workaround based on the google finance service it is possible to retrieve stock data again. 6 examples of using economic data APIs and working with economic microdata. Transparent SSL client authorization. Create a free Zillow account to use with the API. We would love to hear from you!. Selecting data from Index constituents that have increased dividends over last 5 years 1 Answer. There are only two required functions and we take care of everything else! You just Initialize() your strategy and handle the data-events you requested. For more information, please contact [email protected] Calculate Pivot Point,Resistance and Support of a Stock Price with a Small Python Code. Please remember to add a link to Bitcoincharts! Bitcoincharts' API is accessable through HTTP; Parameters are passed using GET-requests; returned data is JSON encoded. Blockchain Data API. The Quandl package uses our API and makes it amazingly easy to get financial data. While sample stock API calls are included in the API documentation, it can be useful to see a few together to get an idea of the breadth of data types available through Intrinio. Use the Bloomberg's API wizards to dowload data into Excel applications. To illustrate a few things you can do with iex-api-python, take a look at the examples below. (comma delimited format, you can just open it in Excel if you like) The service Yahoo finance provides for free stock quotes is REST based. Almost all the data you see on this website is available in JSON format. I am a big fan of Premium Data and I hope that happens. PyCon Canada 10,519 views. One of the APIs affected is the Google Finance API (both the Portfolio API and the Finance Gadgets and Tools API), which will be shut down on October 20, 2012. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. Includes bd CPS. NET, that would be great too!! Thanks everyone. ggplot, more: ggplot for python; gviz_data_table: Python API for Google Visualization. There’s an unofficial Yahoo Finance API available on RapidAPI. The code I was using (excluding DIM statements) was:. Today we're gonna look at how to download historical data from Binance using the Python programming language. Query JSON data on blocks and transactions. Using Python to Parse Spreadsheet Data Learn how to Share Data with PHPExcel with our video tutorial. Its design philosophy emphasizes code readability, and its syntax allows programmers to express concepts in fewer lines of code than possible in languages such as C++ or Java. Python Code. and was looking to build-or-strip-down a Java API to feed real-time data to the OO Calc spreadsheet where the magic happens. Websites like Reddit, Twitter, and Facebook all offer certain data through their APIs. Next we have to define the ticker symbols of the stocks we want to retrieve as well as the period for which we want stock data. I’m working on some new projects involving getting stock price data from the web, which will be tracked and displayed via my Raspberry Pi. This post is an update of the post I wrote here , which used the 3rd party API swigibpy. Python module to get stock data from the Alpha Vantage Api Python module to get stock data from IEX Cloud and IEX API 1. TM1py is a Python package that wraps the TM1 REST API in a simple to use library. Get Back Adjusted Historical Data for Amibroker using Python and Tiingo api 03/16/2019 01/20/2019 Vangelis In this post I will share a quick way for Amibroker users to update quotes using split and dividend back adjusted data from a fairly new provider, Tiingo. Unfortunately the Netfonds API has really declined in terms of usability, with too many popular stocks missing, and irregular trade and price quotes. pandas-datareaderを使うと、Web上の様々なソースに簡単にアクセスし、pandasのDataFrameの形でデータを取得できる。pandas-datareader — pandas-datareader 0. Yahoo finance API seems to be the most popular since Google Finance API has been deprecated (have been discontinued in October 2012). Tick data offers everything as ohlc and then you can get tradedable future whethere it can be traded or not then we can watch last_price,buy quantity,sell quantity and other things which you expect from a terminal. Python for Data Analytics. Extracting data from the Quandl API. com From 2006-2016, Google Code Project Hosting offered a free collaborative development environment for open source projects. Fundamental data, prices, company profiles, executive compensation, and much more all continuously updated and available on demand. API was build over dozens of existing databases. NET, that would be great too!! Thanks everyone. The python yahoofinancials module can easily handle this for you. Later on, we […]. Websites like Reddit, Twitter, and Facebook all offer certain data through their APIs. Open Excel and use the Bloomberg toolbar or drop-down menu: Table Wizard: Download current data ranging from ticker symbols and stock prices to complex calculations such as duration and risk. Quandl data can also be adjusted for stock splits and dividends if you so choose (Google data is adjusted automatically for stock splits only). pandas-datareaderを使うと、Web上の様々なソースに簡単にアクセスし、pandasのDataFrameの形でデータを取得できる。pandas-datareader — pandas-datareader 0. This short Instructable will show you how install a stock querying library to get (mostly) realtime stock prices using Yahoo Finance API. Stock Quote API Demo. Build a Stock Market Web App With Python and Django 4. 1 - Define Poloniex API Helper Functions. dlib - A toolkit for making real world machine learning and data analysis applications in C++ (Python bindings) MLxtend - extension and helper modules for Python’s data analysis and machine learning libraries; tick - module for statistical learning, with a particular emphasis on time-dependent modelling. We will show you how to extract the key stock data such as best bid, market cap, earnings per share and more of a company using its ticker symbol. Everything is a module and can be removed or replaced. Python Reference Card - Free download as PDF File (. I'm wondering if someone here knows where I can find a good tutorial that shows how to use an API (Google or Yahoo) or get stock data using C#. Use the Bloomberg's API wizards to dowload data into Excel applications. We run through some basic operations that can be performed on a stock data using Python and we start by reading the stock data from a CSV file. Individual investors, startups, and even fortune 500 companies had taken advantage of this free service to obtain financial data like stock prices for their websites, intranets, and analytics applications. The source for financial, economic, and alternative datasets, serving investment professionals. 20 September 2018 / Interactive Brokers Amicable Interactive Brokers Data Analysis using Python and R using reticulate. Finally it updates the cells in the spreadsheet with new data from Yahoo. Python Script: See detailed comments in the Python Script. There are again 5 types of time series data that they provide. "IEX Cloud has allowed us to access data from one fast, responsive, and easy to use API. It gives you a scalable way to manage, control and optimize your real-time and reference data across traditional systems and cloud applications. This will not be appended each day, rather overwritten when the data because the data will be inserted into a database. io offers streaming realtime data for stocks/equities, ETFs, Indecies and Forex/Currencies including crypto currencies. PyCon Canada 10,519 views. The latest version of the API is always available on Github, but you can also download a. Close = 89. Description. Historical data for securities which move to a new exchange will often not be available prior to the time of the move. Python API for CNTK Learn how to predict the stock market (using autoencoder) hand written digits from MNIST data with no human input (unsupervised learning, FFN). API Documentation A python wrapper around the Yahoo! Weather. py extension. Consistent, reliable exchange rate data and currency conversion for your business. NET (C#), C++, Python, ActiveX or DDE. Most Python database interfaces adhere to this standard. It is better to install pip according to system OS, and then try to follow the standard way for installing Scrapy. OK, I Understand. I am a big fan of Premium Data and I hope that happens. As you may have heard from the Google Developers Blog, Google is doing an API spring cleaning. Alpaca Securities. In the previous tutorials, we have fetched data using Google API, but as a matter of fact Google has recently deprecated it's API. First published on The Data Wrangler. The format of response is JSON. Here is an yet another interesting python tutorial to fetch intraday data using Google Finance API, store the data in csv format and also plot the intraday data as candlestick format. To assist in the altcoin data retrieval, we'll define two helper functions to download and cache JSON data from this API. Enter a site above to get started. API Documentation for Alpha Vantage. It’s easiest to understand the basic concepts of the Pipeline API after walking through an example. Financial data feeds are price services provided by financial data vendors. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. This tutorial assumes that you've already gone through our Python getting started tutorial and are familiar with how our Python SDK works. We simply give the data that we got from the server through JSON and parsed, to the Google Charts A. Data is provided via an API or as "raw" data files. Daily Resolution Data. Software: We’ll use Python in combination with the powerful data analysis library pandas, plus a few additional Python packages. If you write a client library in a language other than Java,. — Page 122, Introductory Time Series with R. The ComboBox widget is designed around a Model/View/Controller design: the Model stores the data; the View gets change notifications and displays the content of the model; the Controller, finally, changes the state of the model and notifies the view of these changes. Is there another broker that has a better stock trading API for Python? Inspired by Which brokers offer a. USD Exchange Rates (FRED) Quandl. Blockchain Data API. The following URL format is sort of Yahoo stock price quote web service API. Hello and welcome to a Python for Finance tutorial series. When you work on web applications for large organizations and enterprises, I am sure you have. Future versions of pandas_datareader will end support for Python 2. Google Charts API with Flask With the Google Charts API you can display live data on your site. Python’s SciPy Module. While the data is not exactly very structured, being able to scrape it might give you a very good insight into the historical performance of the stocks of a company. The examples below will be for a REST API. instrument – The a stock instrument code to query. 7 the “*” (star) operator is used in the matrix, vector, and quaternion multiplication. If you are working with stock market data and need some quick indicators / statistics and can't (or don't want to) install TA-Lib, check out stockstats. Specifically, this API allows a user to extract high quantities of data pertaining to a. # A method (function) requires parentheses microsoft. For many of the API calls, the resulting dataset is better represented in a tabular format. A few examples of the additional functionality are:. Click here to see how our US stock market quotes feed can save you time and money. """ import sys import csv import datetime import re import pandas as pd import requests def get_google_finance_intraday(ticker, exchange, period=60, days=1): """ Retrieve intraday stock data from Google Finance. Stocktwits API Overview. To make it easier to integrate with eBay RESTful APIs, eBay provides client SDK libraries in C#, Java, and Python. Use the Bloomberg's API wizards to dowload data into Excel applications. Google Finance is a product of Google, that tracks everything related to the Stock market and manage your Portfolio etc. 0 documentation pydata/pandas-datareader 以前はpandas. Upon clicking the XHR of the Chrome Developer tab, the related stock raw data is found under the specific url. Senior Software Engineer - building back end real time data systems - Python / Go / Kafka High profile, tech company in downtown Boston is building a new team to help champion and role out a new. Python comes with first class native support for working with data, numbers and statistics. API Usage ; Data - Other Questions ; Data Coverage/Looking for Data ; Data Quality Issues ; Excel Add-In ; Licensing ; Looking for Data ; Pricing ; Product Feedback & Requests ; Python Package ; R Package ; Redistribute or Resell Data ; Sell Data on Quandl ; Site Technical Support. Rest API / String Formatting in Python. Visit the installation page to see how you can download the package. We would explore two different methods to fetch live stock quotes. pandas-datareader Documentation, Release 0. How can I collect data from Twitter for stock market analysis/sentiment analysis? Link for using the twitter api in python. You can use any programming language you like to build your own winning strategy based on our Guru/Insider/Financial data. Bitcoincharts provides a simple API to most of its data. Free Historical Data. Free Financial Stock Data for Python Using IEX API. Data Analysis With Python; Solution to Getting Free Stock Data with Excel VBA (No Yahoo API) This post will touch on retrieving stock price data in Excel VBA. Recently Yahoo Finance discontinued its Free API service to retrive quotes and historical stock market data and the service dead now. You should read the first , and the second , before this one. Manipulating the JSON is done using the Python Data Analysis Library, called pandas. I, the author, neither take responsibility for the conduct of others nor offer any guarantees. Stockstats currently has about 26 stats and stock market indicators included. But before that, let's set up the work environment. Learn how to get the stock market data such as price, volume and fundamental data using python packages through different sources, & how to analyze it. When you work on web applications for large organizations and enterprises, I am sure you have. This service returns stock data in a CSV. Markets API API Overview. Last week thousands of fintech developers scrambled to find a Yahoo Finance API replacement. We can use this to get realtime data of stocks for programatically accessing the value of a stock. * namespace are public. You can use TinyWebDB to access a data source (API) or to store the app’s  data persistently in a web database. Things to do before you upload: Make an account and set your authentication token within the package with the Quandl. Generally I'm only getting end of day data but sometimes query for intraday spot prices (20 minute lag) using the same API. TA-Lib - TA-Lib is widely used by trading software developers requiring to perform technical analysis of financial market data. If you pass in a string instead of a dict, that data will be posted directly. Today we're gonna look at how to download historical data from Binance using the Python programming language. Once you have the stock data, however, you probably want a way to visualize it. NOTE: This uses Newtonsoft. A collection of python modules to get finance data (stock quotes, options data and news) Modules list. 2011-Mar-10: Stock Picking using Python looking for promising stocks on the TSE using data from Google finance. Building a Stock Options Historical Database At the time I was reading the excellent book "Python for Data Analysis" by Wes McKinney and got an idea for how to. There are millions of APIs online which provide access to data. Using Python to Plot Stock Prices In the past few articles, I have posted about how to use different web services to obtain stock data, both historical and "real time". A new data connector for data provided by the Bank of Canada was introduced. Public functions in pandas. Data objects are commonly understood units, such as a single stock quote, company fundamentals, or news headline. The python yahoofinancials module can easily handle this for you. You can use this API to include markets data in your websites, mobile apps or desktop applets. This creates a new query that references the stock ticker table. Pyro - Python Remote Objects - 4. We are using plotly library for plotting candlestick charts and pandas to manage time-series data. Receiving historical data from the API has the same market data subscription requirement as receiving streaming top-of-book live data Live Market Data. Tick Stock Data KiteConnect WebSocket Mode FULL,LTP & QUOTE-PYTHON Tick data getting from KiteConnect is an awesome feature. NOTE: This uses Newtonsoft. Manipulating the JSON is done using the Python Data Analysis Library, called pandas. In this Python XML Parser Tutorial, we will study what is Python XML Processing. js and JavaScript. Gathering stock data with Python following the demise of Yahoo Finance (Cameron Nugent) - Duration: 10:40. IBKR API Software. Yahoo finance provides a great and simple way to download free stock quotes. As a result, my library, yfinance, gained momentum and was downloaded over 100,000 acording to PyPi. A new data connector for data provided by the Bank of Canada was introduced. How to apply cleaning of twitter data in python while tweets are. It’s easiest to understand the basic concepts of the Pipeline API after walking through an example. Free Market Data APIs Stock, futures and forex quotes, and historical data Sign up now to get immediate access to: getQuote & getHistory Get Free API Access. Interactive Brokers Historical Data Downloader is a desktop Java application. It gives you a scalable way to manage, control and optimize your real-time and reference data across traditional systems and cloud applications. Treasury Yield Curve Rates chart Gold.