Certainly! Here's the README.md file with the code snippets included for the API and License Functions sections:
This repository serves as a hub for various tools, data, and scripts related to stock analysis. It includes a wide range of resources, such as:
- Stock Data: Historical stock price data, annual reports, quarterly reports, and more.
- Technical Analysis Strategies: A collection of technical analysis scripts and strategies to analyze stock data.
- Natural Language Processing (NLP): Scripts and models for sentiment analysis and text analysis related to stock news and reports.
- Chart Drawing: Utilities for creating visually informative charts and visualizations.
- Utility Functions: A set of utility functions and tools to assist with various aspects of stock analysis.
Briefly describe the problem your project is solving.
| Symbol | Date 1 | Date 2 | Date 3 | ... |
|---|---|---|---|---|
| col2 | ||||
| col3 | ||||
| ... |
| Symbol | Number of Shares | Market Cap | Ratios | Summary/About |
|---|---|---|---|---|
| col2 | ||||
| col3 | ||||
| ... |
Generate an index of stocks based on market cap.
def IndexGenerator(arrayOfStocks):
sum = sum of market cap of all the stocks mentioned in this array
keyValuePair = {}
for stock in arrayOfStocks:
keyValuePair[stock.symbol] = (stock.marketCap / sum) * 100
return keyValuePairGenerate a portfolio based on invested amount and index.
def InvestedAmountInIndex(index, moneyToInvest):
portfolio = {}
for stock, weight in index.items():
portfolio[stock] = (moneyToInvest * weight / 100) / stock.currentMarketPrice
return portfolioGenerate a chart for a stock.
def PlotChart(symbol, time):
# chart generating library (needs research and development)
return chart from today - time, today
def PlotChart(symbol, date1, date2):
# chart generating library (needs research and development)
return chart from date1, date2Get stocks near their all-time high price.
def AllTimeHighTeller(listOfStocks, percentage, up):
result = []
for stock in listOfStocks:
if up:
if (stock.currentPrice / stock.allTimeHighPrice) >= (1 - percentage / 100):
result.append(stock)
else:
if (stock.currentPrice / stock.allTimeHighPrice) <= (percentage / 100):
result.append(stock)
return resultGet stocks near their high price within a timeframe.
def HighTeller(listOfStocks, percentage, up, timeframe):
result = []
for stock in listOfStocks:
if up:
if (stock.currentPrice / stock.highPriceInTimeframe(timeframe)) >= (1 - percentage / 100):
result.append(stock)
else:
if (stock.currentPrice / stock.highPriceInTimeframe(timeframe)) <= (percentage / 100):
result.append(stock)
return resultGet stocks near their all-time low price.
def AllTimeLowTeller(listOfStocks, percentage, down):
result = []
for stock in listOfStocks:
if down:
if (stock.currentPrice / stock.allTimeLowPrice) <= (percentage / 100):
result.append(stock)
return resultGet stocks near their low price within a timeframe.
def LowTeller(listOfStocks, percentage, down, timeframe):
result = []
for stock in listOfStocks:
if down:
if (stock.currentPrice / stock.lowPriceInTimeframe(timeframe)) <= (percentage / 100):
result.append(stock)
return resultRetrieve a list of stocks present in the F&O market.
def GetFNOStocks():
# modify database of F&O
return list of stocks present in F&OGet a list of market holidays starting from today.
def MarketHolidays(today):
return list of holidays from todayCheck if today is a market holiday.
def IsHoliday():
return True if today is a holiday else FalseGet the most recent market holiday.
def RecentHoliday():
return most recent holidayTest a trading strategy and calculate returns.
def CheckStrategy(listOfStocks, dateOfStart, dateEnd):
sum = 0
for stock in listOfStocks:
try:
sum += stock.currentMarketPrice / stock.priceOnDate(dateOfStart)
except Exception as e:
# handle null pointer exception
pass
return sum
def CheckStrategy(mapOfStocksWithMoney, dateOfStart, dateEnd):
totalMoney = 0
sum = 0
for stock, money in mapOfStocksWithMoney.items():
totalMoney += money
try:
sum += stock.currentMarketPrice / stock.priceOnDate(dateOfStart) * money
except Exception as e:
# handle null pointer exception
pass
return sum / totalMoneyDescribe any algorithms or logic used in your project.
Find stocks with similar movement to a given stock.
def SimilarStocks(stockName):
return list of stocks that show similar movement to stockNamedef GetConsolidatedData(symbol):
return last four consolidated data pointsdef GetAnnualReport(symbol):
return last four annual reportsdef GetNews(symbol):
return news related to that stock
def GetGeneralNews():
return general news about the marketdef GetResults():
return financial resultsdef GetDividends():
return dividendsdef GetIPOs():
return IPOsdef GetMergers():
return mergersdef GetDemergers():
return demergersdef AnalyzeAnnualReport(pdf):
return summarydef AnalyzeDifferentialAnnualReports(pdf1, pdf2):
return differential summarydef AnalyzeConsolidatedReport(pdf):
return summaryGenerate and display charts on the web interface.
def PlotCharts():
# drawable chart logicPlease replace the placeholder descriptions with detailed explanations for each section