Revert "updated reference.json"

This reverts commit 03bdba853061bd61fe4e240a862627ef39ad8b38.

1 files changed, 19 insertions, 19 deletions

diff --git a/openbb_platform/openbb/assets/reference.json b/openbb_platform/openbb/assets/reference.json
index d2f378f8868..7b1b2d83d53 100644
--- a/openbb_platform/openbb/assets/reference.json
+++ b/openbb_platform/openbb/assets/reference.json
@@ -5,7 +5,7 @@
             "message": null
         },
         "description": "Get historical price data for cryptocurrency pair(s) within a provider.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.crypto.price.historical(symbol='BTCUSD', provider='fmp')\nobb.crypto.price.historical(symbol='BTCUSD', start_date='2024-01-01', end_date='2024-01-31', provider='fmp')\nobb.crypto.price.historical(symbol='BTCUSD,ETHUSD', start_date='2024-01-01', end_date='2024-01-31', provider='polygon')\n# Get monthly historical prices from Yahoo Finance for Ethereum.\nobb.crypto.price.historical(symbol='ETH-USD', interval='1m', start_date='2024-01-01', end_date='2024-12-31', provider='yfinance')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.crypto.price.historical(symbol='BTCUSD', provider='fmp')\nobb.crypto.price.historical(symbol='BTCUSD', start_date='2024-01-01', end_date='2024-01-31', provider='fmp')\nobb.crypto.price.historical(symbol='BTCUSD,ETHUSD', start_date='2024-01-01', end_date='2024-01-31', provider='polygon')\n# Get monthly historical prices from Yahoo Finance for Ethereum.\nobb.crypto.price.historical(symbol='ETH-USD', interval=1m, start_date='2024-01-01', end_date='2024-12-31', provider='yfinance')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -332,7 +332,7 @@
             "message": null
         },
         "description": "Currency Historical Price. Currency historical data.\n\nCurrency historical prices refer to the past exchange rates of one currency against\nanother over a specific period.\nThis data provides insight into the fluctuations and trends in the foreign exchange market,\nhelping analysts, traders, and economists understand currency performance,\nevaluate economic health, and make predictions about future movements.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.currency.price.historical(symbol='EURUSD', provider='fmp')\n# Filter historical data with specific start and end date.\nobb.currency.price.historical(symbol='EURUSD', start_date='2023-01-01', end_date='2023-12-31', provider='fmp')\n# Get data with different granularity.\nobb.currency.price.historical(symbol='EURUSD', provider='polygon', interval='15m')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.currency.price.historical(symbol='EURUSD', provider='fmp')\n# Filter historical data with specific start and end date.\nobb.currency.price.historical(symbol='EURUSD', start_date='2023-01-01', end_date='2023-12-31', provider='fmp')\n# Get data with different granularity.\nobb.currency.price.historical(symbol='EURUSD', provider='polygon', interval=15m)\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -539,7 +539,7 @@
             "message": null
         },
         "description": "Currency Search.\n\nSearch available currency pairs.\nCurrency pairs are the national currencies from two countries coupled for trading on\nthe foreign exchange (FX) marketplace.\nBoth currencies will have exchange rates on which the trade will have its position basis.\nAll trading within the forex market, whether selling, buying, or trading, will take place through currency pairs.\n(ref: Investopedia)\nMajor currency pairs include pairs such as EUR/USD, USD/JPY, GBP/USD, etc.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.currency.search(provider='intrinio')\n# Search for 'EURUSD' currency pair using 'intrinio' as provider.\nobb.currency.search(provider='intrinio', symbol='EURUSD')\n# Search for actively traded currency pairs on the queried date using 'polygon' as provider.\nobb.currency.search(provider='polygon', date='2024-01-02', active=True)\n# Search for terms  using 'polygon' as provider.\nobb.currency.search(provider='polygon', search='Euro zone')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.currency.search(provider='intrinio')\n# Search for 'EURUSD' currency pair using 'intrinio' as provider.\nobb.currency.search(provider='intrinio', symbol=EURUSD)\n# Search for actively traded currency pairs on the queried date using 'polygon' as provider.\nobb.currency.search(provider='polygon', date=2024-01-02, active=True)\n# Search for terms  using 'polygon' as provider.\nobb.currency.search(provider='polygon', search=Euro zone)\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -952,7 +952,7 @@
             "message": null
         },
         "description": "Get the complete options chain for a ticker.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.derivatives.options.chains(symbol='AAPL', provider='intrinio')\n# Use the \"date\" parameter to get the end-of-day-data for a specific date, where supported.\nobb.derivatives.options.chains(symbol='AAPL', date='2023-01-25', provider='intrinio')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.derivatives.options.chains(symbol='AAPL', provider='intrinio')\n# Use the \"date\" parameter to get the end-of-day-data for a specific date, where supported.\nobb.derivatives.options.chains(symbol='AAPL', date=2023-01-25, provider='intrinio')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -2719,7 +2719,7 @@
             "message": null
         },
         "description": "Get data by series ID from FRED.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.fred_series(symbol='NFCI', provider='fred')\n# Multiple series can be passed in as a list.\nobb.economy.fred_series(symbol='NFCI,STLFSI4', provider='fred')\n# Use the `transform` parameter to transform the data as change, log, or percent change.\nobb.economy.fred_series(symbol='CBBTCUSD', transform='pc1', provider='fred')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.fred_series(symbol='NFCI', provider='fred')\n# Multiple series can be passed in as a list.\nobb.economy.fred_series(symbol='NFCI,STLFSI4', provider='fred')\n# Use the `transform` parameter to transform the data as change, log, or percent change.\nobb.economy.fred_series(symbol='CBBTCUSD', transform=pc1, provider='fred')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -2988,7 +2988,7 @@
             "message": null
         },
         "description": "Global unemployment data.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.unemployment(provider='oecd')\nobb.economy.unemployment(country='all', frequency='quarterly', provider='oecd')\n# Demographics for the statistics are selected with the `age` parameter.\nobb.economy.unemployment(country='all', frequency='quarterly', age='25-54', provider='oecd')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.unemployment(provider='oecd')\nobb.economy.unemployment(country=all, frequency=quarterly, provider='oecd')\n# Demographics for the statistics are selected with the `age` parameter.\nobb.economy.unemployment(country=all, frequency=quarterly, age=25-54, provider='oecd')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -3114,7 +3114,7 @@
             "message": null
         },
         "description": "The composite leading indicator (CLI) is designed to provide early signals of turning points\nin business cycles showing fluctuation of the economic activity around its long term potential level.\nCLIs show short-term economic movements in qualitative rather than quantitative terms.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.composite_leading_indicator(provider='oecd')\nobb.economy.composite_leading_indicator(country='all', provider='oecd')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.composite_leading_indicator(provider='oecd')\nobb.economy.composite_leading_indicator(country=all, provider='oecd')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -3212,7 +3212,7 @@
             "message": null
         },
         "description": "Short-term interest rates are the rates at which short-term borrowings are effected between\nfinancial institutions or the rate at which short-term government paper is issued or traded in the market.\nShort-term interest rates are generally averages of daily rates, measured as a percentage.\nShort-term interest rates are based on three-month money market rates where available.\nTypical standardised names are \"money market rate\" and \"treasury bill rate\".",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.short_term_interest_rate(provider='oecd')\nobb.economy.short_term_interest_rate(country='all', frequency='quarterly', provider='oecd')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.short_term_interest_rate(provider='oecd')\nobb.economy.short_term_interest_rate(country=all, frequency=quarterly, provider='oecd')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -3317,7 +3317,7 @@
             "message": null
         },
         "description": "Long-term interest rates refer to government bonds maturing in ten years.\nRates are mainly determined by the price charged by the lender, the risk from the borrower and the\nfall in the capital value. Long-term interest rates are generally averages of daily rates,\nmeasured as a percentage. These interest rates are implied by the prices at which the government bonds are\ntraded on financial markets, not the interest rates at which the loans were issued.\nIn all cases, they refer to bonds whose capital repayment is guaranteed by governments.\nLong-term interest rates are one of the determinants of business investment.\nLow long-term interest rates encourage investment in new equipment and high interest rates discourage it.\nInvestment is, in turn, a major source of economic growth.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.long_term_interest_rate(provider='oecd')\nobb.economy.long_term_interest_rate(country='all', frequency='quarterly', provider='oecd')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.economy.long_term_interest_rate(provider='oecd')\nobb.economy.long_term_interest_rate(country=all, frequency=quarterly, provider='oecd')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -4304,7 +4304,7 @@
             "message": null
         },
         "description": "Get analyst price targets by company.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.equity.estimates.price_target(provider='benzinga')\n# Get price targets for Microsoft using 'benzinga' as provider.\nobb.equity.estimates.price_target(start_date='2020-01-01', end_date='2024-02-16', limit=10, symbol='msft', provider='benzinga', action='downgrades')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.equity.estimates.price_target(provider='benzinga')\n# Get price targets for Microsoft using 'benzinga' as provider.\nobb.equity.estimates.price_target(start_date=2020-01-01, end_date=2024-02-16, limit=10, symbol='msft', provider='benzinga', action=downgrades)\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -17229,7 +17229,7 @@
             "message": null
         },
         "description": "Get historical price data for a given stock. This includes open, high, low, close, and volume.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.equity.price.historical(symbol='AAPL', provider='fmp')\nobb.equity.price.historical(symbol='AAPL', interval='1d', provider='intrinio')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.equity.price.historical(symbol='AAPL', provider='fmp')\nobb.equity.price.historical(symbol='AAPL', interval=1d, provider='intrinio')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -21570,7 +21570,7 @@
             "message": null
         },
         "description": "Get the holdings for an individual ETF.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.etf.holdings(symbol='XLK', provider='fmp')\n# Including a date (FMP, SEC) will return the holdings as per NPORT-P filings.\nobb.etf.holdings(symbol='XLK', date='2022-03-31', provider='fmp')\n# The same data can be returned from the SEC directly.\nobb.etf.holdings(symbol='XLK', date='2022-03-31', provider='sec')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.etf.holdings(symbol='XLK', provider='fmp')\n# Including a date (FMP, SEC) will return the holdings as per NPORT-P filings.\nobb.etf.holdings(symbol='XLK', date=2022-03-31, provider='fmp')\n# The same data can be returned from the SEC directly.\nobb.etf.holdings(symbol='XLK', date=2022-03-31, provider='sec')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -22815,7 +22815,7 @@
             "message": null
         },
         "description": "Ameribor.\n\nAmeribor (short for the American interbank offered rate) is a benchmark interest rate that reflects the true cost of\nshort-term interbank borrowing. This rate is based on transactions in overnight unsecured loans conducted on the\nAmerican Financial Exchange (AFX).",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.ameribor(provider='fred')\nobb.fixedincome.rate.ameribor(parameter='30_day_ma', provider='fred')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.ameribor(provider='fred')\nobb.fixedincome.rate.ameribor(parameter=30_day_ma, provider='fred')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -22906,7 +22906,7 @@
             "message": null
         },
         "description": "Sterling Overnight Index Average.\n\nSONIA (Sterling Overnight Index Average) is an important interest rate benchmark. SONIA is based on actual\ntransactions and reflects the average of the interest rates that banks pay to borrow sterling overnight from other\nfinancial institutions and other institutional investors.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.sonia(provider='fred')\nobb.fixedincome.rate.sonia(parameter='total_nominal_value', provider='fred')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.sonia(provider='fred')\nobb.fixedincome.rate.sonia(parameter=total_nominal_value, provider='fred')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -23080,7 +23080,7 @@
             "message": null
         },
         "description": "Fed Funds Rate.\n\nGet Effective Federal Funds Rate data. A bank rate is the interest rate a nation's central bank charges to its\ndomestic banks to borrow money. The rates central banks charge are set to stabilize the economy. In the\nUnited States, the Federal Reserve System's Board of Governors set the bank rate, also known as the discount rate.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.effr(provider='fred')\nobb.fixedincome.rate.effr(parameter='daily', provider='fred')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.effr(provider='fred')\nobb.fixedincome.rate.effr(parameter=daily, provider='fred')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -23292,7 +23292,7 @@
             "message": null
         },
         "description": "Euro Short-Term Rate.\n\nThe euro short-term rate (\u20acSTR) reflects the wholesale euro unsecured overnight borrowing costs of banks located in\nthe euro area. The \u20acSTR is published on each TARGET2 business day based on transactions conducted and settled on\nthe previous TARGET2 business day (the reporting date \u201cT\u201d) with a maturity date of T+1 which are deemed to have been\nexecuted at arm\u2019s length and thus reflect market rates in an unbiased way.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.estr(provider='fred')\nobb.fixedincome.rate.estr(parameter='number_of_active_banks', provider='fred')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.rate.estr(provider='fred')\nobb.fixedincome.rate.estr(parameter=number_of_active_banks, provider='fred')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -24609,7 +24609,7 @@
             "message": null
         },
         "description": "Secured Overnight Financing Rate.\n\nThe Secured Overnight Financing Rate (SOFR) is a broad measure of the cost of\nborrowing cash overnight collateralizing by Treasury securities.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.sofr(provider='fred')\nobb.fixedincome.sofr(period='overnight', provider='fred')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.fixedincome.sofr(provider='fred')\nobb.fixedincome.sofr(period=overnight, provider='fred')\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -25288,7 +25288,7 @@
             "message": null
         },
         "description": "World News. Global news data.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.news.world(provider='fmp')\nobb.news.world(limit=100, provider='intrinio')\n# Get news on the specified dates.\nobb.news.world(start_date='2024-02-01', end_date='2024-02-07', provider='intrinio')\n# Display the headlines of the news.\nobb.news.world(display='headline', provider='benzinga')\n# Get news by topics.\nobb.news.world(topics='finance', provider='benzinga')\n# Get news by source using 'tingo' as provider.\nobb.news.world(provider='tiingo', source='bloomberg')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.news.world(provider='fmp')\nobb.news.world(limit=100, provider='intrinio')\n# Get news on the specified dates.\nobb.news.world(start_date='2024-02-01', end_date='2024-02-07', provider='intrinio')\n# Display the headlines of the news.\nobb.news.world(display=headline, provider='benzinga')\n# Get news by topics.\nobb.news.world(topics=finance, provider='benzinga')\n# Get news by source using 'tingo' as provider.\nobb.news.world(provider='tiingo', source=bloomberg)\n```\n\n",
         "parameters": {
             "standard": [
                 {
@@ -25614,7 +25614,7 @@
             "message": null
         },
         "description": "Company News. Get news for one or more companies.",
-        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.news.company(provider='benzinga')\nobb.news.company(limit=100, provider='benzinga')\n# Get news on the specified dates.\nobb.news.company(symbol='AAPL', start_date='2024-02-01', end_date='2024-02-07', provider='intrinio')\n# Display the headlines of the news.\nobb.news.company(symbol='AAPL', display='headline', provider='benzinga')\n# Get news for multiple symbols.\nobb.news.company(symbol='aapl,tsla', provider='fmp')\n# Get news company's ISIN.\nobb.news.company(symbol='NVDA', isin='US0378331005', provider='benzinga')\n```\n\n",
+        "examples": "\nExamples\n--------\n\n```python\nfrom openbb import obb\nobb.news.company(provider='benzinga')\nobb.news.company(limit=100, provider='benzinga')\n# Get news on the specified dates.\nobb.news.company(symbol='AAPL', start_date='2024-02-01', end_date='2024-02-07', provider='intrinio')\n# Display the headlines of the news.\nobb.news.company(symbol='AAPL', display=headline, provider='benzinga')\n# Get news for multiple symbols.\nobb.news.company(symbol='aapl,tsla', provider='fmp')\n# Get news company's ISIN.\nobb.news.company(symbol='NVDA', isin=US0378331005, provider='benzinga')\n```\n\n",
         "parameters": {
             "standard": [
                 {