A financial investment app and library.
- Features
- Financial Information
- Libraries
- Data Processing & Manipulation
- Web Scraping & Data Extraction
- Price, Company Info & Fundamental Data Import
- News & Social Media & News Sentiment
- Data Analysis & Statistics
- Technical Indicators & Candlestick Patterns
- Data Visualization & Price Charts
- Performance & Risk Analysis
- Artificial Intelligence
- Backtesting
- Live Trading
- Months
- Lotto
- Hints
- Algorithm Trading
- Sentiment score with news sources.
- Technical analysis charts.
- Generate stock dataset.
- Automated stock selection
- Algorithm for target buy price.
- Screen to update target buy price.
- Automated stock tracker.
- Earnings Per Share (EPS)
- Price To Earnings Ratio (P/E)
- Projected Earnings Growth (PEG)
- Free Cash Flow (FCF)
- Price to Book Ratio (P/B)
- Return on Equity (ROE)
- Dividend Payout Ratio (DPR)
- Price to Sales Ratio (P/S)
- Dividend Yield Ratio
- Debt To Equity Ratio (D/E)
- country
- name
- full_name
- isin
- currency
- symbol
Available fields
- 52WeekChange
- SandP52WeekChange
- address1
- address2
- algorithm
- annualHoldingsTurnover
- annualReportExpenseRatio
- ask
- askSize
- averageDailyVolume10Day
- averageVolume
- averageVolume10days
- beta
- beta3Year
- bid
- bidSize
- bookValue
- category
- circulatingSupply
- city
- coinMarketCapLink
- companyOfficers
- country
- currency
- currentPrice
- currentRatio
- dateShortInterest
- dayHigh
- dayLow
- debtToEquity
- dividendRate
- dividendYield
- earningsGrowth
- earningsQuarterlyGrowth
- ebitda
- ebitdaMargins
- enterpriseToEbitda
- enterpriseToRevenue
- enterpriseValue
- exDividendDate
- exchange
- exchangeTimezoneName
- exchangeTimezoneShortName
- expireDate
- fiftyDayAverage
- fiftyTwoWeekHigh
- fiftyTwoWeekLow
- financialCurrency
- fiveYearAverageReturn
- fiveYearAvgDividendYield
- floatShares
- forwardEps
- forwardPE
- freeCashflow
- fromCurrency
- fullTimeEmployees
- fundFamily
- fundInceptionDate
- gmtOffSetMilliseconds
- grossMargins
- grossProfits
- heldPercentInsiders
- heldPercentInstitutions
- impliedSharesOutstanding
- industry
- isEsgPopulated
- lastCapGain
- lastDividendDate
- lastDividendValue
- lastFiscalYearEnd
- lastMarket
- lastSplitDate
- lastSplitFactor
- legalType
- logo_url
- longBusinessSummary
- longName
- market
- marketCap
- maxAge
- maxSupply
- messageBoardId
- morningStarOverallRating
- morningStarRiskRating
- mostRecentQuarter
- navPrice
- netIncomeToCommon
- nextFiscalYearEnd
- numberOfAnalystOpinions
- open
- openInterest
- operatingCashflow
- operatingMargins
- payoutRatio
- pegRatio
- phone
- preMarketPrice
- previousClose
- priceHint
- priceToBook
- priceToSalesTrailing12Months
- profitMargins
- quickRatio
- quoteType
- recommendationKey
- recommendationMean
- regularMarketDayHigh
- regularMarketDayLow
- regularMarketOpen
- regularMarketPreviousClose
- regularMarketPrice
- regularMarketVolume
- returnOnAssets
- returnOnEquity
- revenueGrowth
- revenuePerShare
- revenueQuarterlyGrowth
- sector
- sharesOutstanding
- sharesPercentSharesOut
- sharesShort
- sharesShortPreviousMonthDate
- sharesShortPriorMonth
- shortName
- shortPercentOfFloat
- shortRatio
- startDate
- state
- strikePrice
- symbol
- targetHighPrice
- targetLowPrice
- targetMeanPrice
- targetMedianPrice
- threeYearAverageReturn
- toCurrency
- totalAssets
- totalCash
- totalCashPerShare
- totalDebt
- totalRevenue
- tradeable
- trailingAnnualDividendRate
- trailingAnnualDividendYield
- trailingEps
- trailingPE
- trailingPegRatio
- twoHundredDayAverage
- volume
- volume24Hr
- volumeAllCurrencies
- website
- yield
- ytdReturn
- zip
- numpy
- pandas
- BeautifulSoup
- httpx
- Requests
- Scrapy
- Selenium
- Playwright
- Urllib
- selectolax
- coingecko
- data-link
- eod-data
- finviz
- norgatedata
- tiingo
- simfin
- ultrafinance
- tia
- yahoo_fin
- yfinance
- Facebook SDK
- flair
- keybert
- praw
- pygooglenews
- textblob
- tiingo
- tweepy
- numpy
- pandas
- scipy
- statistics
- statsmodels
- finta
- pandas-ta
- TA-Lib
- ta
- matplotlib
- ploty
- seaborn
- ffn
- finmarketpy
- pyfin
- pyfolio
- QuantPy
- QuantStats
- thepassiveinvestor
- vollib
- keras
- prophet
- pytorch
- Scikit Learn
- tensorflow
- TensorTrade
- backtesting.py - to try
- backtrader
- bt
- lean
- pybacktest
- QuantRocket
- zipline
- cctx
- cex-io-api-python
- FreqTrade
- HummingBot
- Pyalgotrade
- QuantRocket
- Tradelogics
May - Buy June - Sell July - Sell August - Buy Sept - Buy (worst month) Oct - Volatile
Time series dataset with the following fields and descriptions
DrawDate - Date with yyyymmdd format
DrawnNo1 - Number between 1 and 55
DrawnNo2 - Number between 1 and 55
DrawnNo3 - Number between 1 and 55
DrawnNo4 - Number between 1 and 55
DrawnNo5 - Number between 1 and 55
DrawnNo6 - Number between 1 and 55
Samples of the dataset,
DrawDate,DrawnNo1,DrawnNo2,DrawnNo3,DrawnNo4,DrawnNo5,DrawnNo6 20091031,17,20,24,30,49,50 20091101,01,05,18,23,50,51 20091103,05,09,13,15,48,55 20091104,09,28,36,41,47,50 20091107,17,19,24,27,33,38 20091108,17,22,30,32,38,54 20091111,02,18,25,32,37,54 20091114,06,13,21,38,41,45 20091115,01,02,32,36,45,51
Use machine leearning to predict DrawNo1, DrawNo2, DrawnNo3, DrawnNo4, DrawnNo5, DrawnNo6 for a future draw date
- Slow and steady. Less trading is better than frequent trading
- Buy late and low rather than buy early and high
- In Bull, reserve 60%, in Bear, reserve 20%
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent