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    <title>DEV Community: DidierRLopes</title>
    <description>The latest articles on DEV Community by DidierRLopes (@didierrlopes).</description>
    <link>https://dev.to/didierrlopes</link>
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      <title>DEV Community: DidierRLopes</title>
      <link>https://dev.to/didierrlopes</link>
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    <item>
      <title>Move over Bloomberg Terminal, here comes Gamestonk Terminal</title>
      <dc:creator>DidierRLopes</dc:creator>
      <pubDate>Fri, 23 Apr 2021 18:24:43 +0000</pubDate>
      <link>https://dev.to/didierrlopes/move-over-bloomberg-terminal-here-comes-gamestonk-terminal-18jc</link>
      <guid>https://dev.to/didierrlopes/move-over-bloomberg-terminal-here-comes-gamestonk-terminal-18jc</guid>
      <description>&lt;p&gt;&lt;a href="https://github.com/DidierRLopes/GamestonkTerminal"&gt;https://github.com/DidierRLopes/GamestonkTerminal&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Hey all,&lt;/p&gt;

&lt;p&gt;2 months ago I made a terminal that I had been working on my spare time, to help me on my stock research, open-source. See &lt;a href="https://dro-lopes.medium.com/gamestonk-terminal-the-next-best-thing-after-bloomberg-terminal-a263c001a61f"&gt;https://dro-lopes.medium.com/gamestonk-terminal-the-next-best-thing-after-bloomberg-terminal-a263c001a61f&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;The motto: &lt;/p&gt;

&lt;p&gt;Gamestonk Terminal provides a modern Python-based integrated environment for investment research, that allows the average joe retail trader to leverage state-of-the-art Data Science and Machine Learning technologies. As a modern Python-based environment, Gamestonk Terminal opens access to numerous Python data libraries in Data Science (Pandas, Numpy, Scipy, Jupyter), Machine Learning (Pytorch, Tensorflow, Sklearn, Flair), and Data Acquisition (Beautiful Soup, and numerous third-party APIs).&lt;/p&gt;

&lt;p&gt;As of today, and thanks to all your help and the traction created around it, the terminal is looking better than ever. Now it's no longer only me taking care of the repo, but also 2 other experienced devs, who are adding features on a daily basis and increasing the robustness of the codebase. Feel free to wander through the FEATURES page to see what you would get out of this tool! &lt;/p&gt;

&lt;p&gt;If some of you thought it was amazing 2 months ago, you won't believe what it looks like now. You can check out the ROADMAP for all the features that have been added since, but let me list some of them:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;New Screener for stocks, which allows users to save their presets and share them&lt;/li&gt;
&lt;li&gt;New Options menu&lt;/li&gt;
&lt;li&gt;New Comparison Analysis to compare several tickers in their historical price, sentiment, or fundamental analysis&lt;/li&gt;
&lt;li&gt;New Portfolio Optimisation that assigns stocks weights based on risk level specified by the user&lt;/li&gt;
&lt;li&gt;New Exploratory Data Analysis menu that looks at historical data from a statistic point of view&lt;/li&gt;
&lt;li&gt;New Residual Analysis after using a statistical model for prediction&lt;/li&gt;
&lt;li&gt;New menu to provide access to your portfolio (supports Robinhood, Ally invest, Alpaca, and Degiro)&lt;/li&gt;
&lt;li&gt;New Cryptocurrency, Forex, and FRED menus&lt;/li&gt;
&lt;li&gt;Prediction with backtesting&lt;/li&gt;
&lt;li&gt;Technical analysis that includes a score and a summary&lt;/li&gt;
&lt;li&gt;Due Diligence menu with data from Dark Pools, and also Failure to Deliver&lt;/li&gt;
&lt;li&gt;Sentiment analysis from news provided from collaboration with a company that provides this feature paid. Free for us!&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;As always feedback is appreciated, and contributions even more so! &lt;/p&gt;

&lt;p&gt;Let’s try to reduce the gap between the amount of information that the Hedge Funds have access to in comparison with the usual retail trader. &lt;/p&gt;

&lt;p&gt;Bloomberg Terminal, we’re coming for you.&lt;/p&gt;

&lt;p&gt; Feel free to join our discord at &lt;a href="https://discord.gg/Up2QGbMKHY"&gt;https://discord.gg/Up2QGbMKHY&lt;/a&gt;.&lt;/p&gt;

</description>
      <category>python</category>
      <category>programming</category>
      <category>terminal</category>
      <category>stocks</category>
    </item>
    <item>
      <title>Gamestonk Terminal: The next best thing after Bloomberg Terminal.</title>
      <dc:creator>DidierRLopes</dc:creator>
      <pubDate>Sun, 14 Mar 2021 14:17:40 +0000</pubDate>
      <link>https://dev.to/didierrlopes/gamestonk-terminal-the-next-best-thing-after-bloomberg-terminal-3e1n</link>
      <guid>https://dev.to/didierrlopes/gamestonk-terminal-the-next-best-thing-after-bloomberg-terminal-3e1n</guid>
      <description>&lt;p&gt;&lt;a href="https://github.com/DidierRLopes/GamestonkTerminal" rel="noopener noreferrer"&gt;https://github.com/DidierRLopes/GamestonkTerminal&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;If you like stocks and are careful with the way you spend your money, (me saying it seems counter-intuitive given that I bought GME at the peak, I know) you know how much time goes into buying shares of a stock.&lt;/p&gt;

&lt;p&gt;You need to: Find stocks that are somehow undervalued; Research on the company, and its competitors; Check that the financials are healthy; Look into different technical indicators; Investigate SEC fillings and Insider activity; Look up for next earnings date and analysts estimates; Estimate market’s sentiment through Reddit, Twitter, Stocktwits; Read news;. … the list goes on.&lt;/p&gt;

&lt;p&gt;It’s tedious and I don’t have 24k for a Bloomberg terminal. Which led me to the idea during xmas break to spend the time creating my own terminal. I introduce you to “Gamestonk Terminal” (probably should’ve sent 1 tweet everyday to Elon Musk for copyrights permission eheh).&lt;/p&gt;

&lt;p&gt;As someone mentioned, this is meant to be like a swiss army knife for finance. &lt;/p&gt;

&lt;p&gt;It contains the following functionalities:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Discover Stocks:&lt;/strong&gt; Some features are: Top gainers; Sectors performance; upcoming earnings releases; top high shorted interest stocks; top stocks with low float; top orders on fidelity; and some SPAC websites with news/calendars.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Market Sentiment:&lt;/strong&gt; Main features are: Scrolling through Reddit main posts, and most tickers mentions; Extracting trending symbols on stocktwits, or even stocktwit sentiment based on bull/bear flags; Twitter in-depth sentiment prediction using AI; Google mentions over time.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Research Web pages:&lt;/strong&gt; List of good pages to do research on a stock, e.g. macroaxis, zacks, macrotrends, ..&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Fundamental Analysis:&lt;/strong&gt; Read financials from a company from Market Watch, Yahoo Finance, Alpha Vantage, and Financial Modeling Prep API. Since I only rely on free data, I added the information from all of these, so that the user can get it from the source it trusts the most. Also exports management team behind stock, along with their pages on Google, to speed up research process.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Technical Analysis:&lt;/strong&gt; The usual technical indicators: sma, rsi, macd, adx, bbands, and more.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Due Diligence:&lt;/strong&gt; It has several features that I found to be really useful. Some of them are: Latest news of the company; Analyst prices and ratings; Price target from several analysts plot over time vs stock price; Insider activity, and these timestamps marked on the stock price historical data; Latest SEC fillings; Short interest over time; A check for financial warnings based on Sean Seah book.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Prediction Techniques:&lt;/strong&gt; The one I had more fun with. It tries to predict the stock price, from simple models like sma and arima to complex neural network models, like LSTM. The additional capability here is that all of these are easy to configure. Either through command line arguments, or even in form of a configuration file to define your NN. It also allows backtesting.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Reports:&lt;/strong&gt; Allows you to run several jobs functionalities and write daily notes on a stock, so that you can assess what you thought about the stock in the past, to perform better decisions.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Comparison Analysis:&lt;/strong&gt; Allows to compare different stocks.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;On the ROADMAP&lt;/strong&gt;: Cryptocurrencies, Portfolio Analysis, Credit Analysis. Feel free to add the features you'd like and we would happily work on it.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fzyoobzelcifgmeing3px.png" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2Fzyoobzelcifgmeing3px.png" alt="Captura de ecrã 2021-03-14, às 13.03.28"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;This project will always remain open-source, and the idea is that it can grow substantially over-time so that more and more people start taking advantage of it.&lt;/p&gt;

&lt;p&gt;Feel free to contribute towards the project.&lt;/p&gt;

&lt;p&gt;Feedback is extremely welcome!&lt;/p&gt;

</description>
      <category>python</category>
      <category>opensource</category>
      <category>programming</category>
      <category>showdev</category>
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