This Trading Journal Log Diary is a perfect way to help you track your overall trades as you make them. All successful traders keep a journal and reflect on their trading style and strategies to help them improve over time. Great for tracking your progress. Each 2-page layout includes a section to record the following: Date - Log the date of your trade. Time - Record the time of your trade. Currency Pair - Write the quotation for different currencies. Sell/ Buy - Log whether you plan to buy or sell and price. Lot Size - Record the lot size. Number Of Trades Placed - Write the # of trades you made. PIP Gain- Log the Point in Percentage gain. How Long? - Record how long you plan to hold. Strategy Used - Write the strategy or strategies you used, swing, position, etc. Trends Noticed - Log any trends you may see. Notes - For writing any important information you want such as notes on market conditions, profit targets, stops, trading rules, future plans & goals, and more. Designed with active stock, options, futures, and forex traders in mind. Can also be for successful traders & beginners. Will also make the best gift. Books can be great tools to keep track of records and activities. It's a great way to keep you organized. Simple and easy to use every day. Size is 8.5x11 inches, 150 pages, quality white paper, black ink, soft matte finish cover, paperback. Get one today!

Algorithmic trading, once the exclusive domain of institutional players, is now open to small organizations and individual traders using online platforms. The tool of choice for many traders today is Python and its ecosystem of powerful packages. In this practical book, author Yves Hilpisch shows students, academics, and practitioners how to use Python in the fascinating field of algorithmic trading. You'll learn several ways to apply Python to different aspects of algorithmic trading, such as backtesting trading strategies and interacting with online trading platforms. Some of the biggest buy- and sell-side institutions make heavy use of Python. By exploring options for systematically building and deploying automated algorithmic trading strategies, this book will help you level the playing field. Set up a proper Python environment for algorithmic trading Learn how to retrieve financial data from public and proprietary data sources Explore vectorization for financial analytics with NumPy and pandas Master vectorized backtesting of different algorithmic trading strategies Generate market predictions by using machine learning and deep learning Tackle real-time processing of streaming data with socket programming tools Implement automated algorithmic trading strategies with the OANDA and FXCM trading platforms

Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook Description The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models. This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research. This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples. By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance. What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek's high-quality trades and quotes dataWho this book is for If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.

The Perfect Log Book For Keeping Track Of Your Trades! Track up to 500 trades with this trading log book designed with traders in mind. Write down trading notes, your own personal trading rules, you overall trading strategy, and log each individual trade whether it be stocks, options, forex, or crypto. It also serves as a good reminder for you to stay disciplined and to not give in to the FOMO or the Fear Of Missing Out. Features: Over 100 pages 500 Trading logs - Record up to 500 trades! 8.5 x 11in size Slots for trading data such as: Entry and exit date/time Entry and exit price Trade/position size Profit/loss Balance Notes Start Recording Your Trades. Buy This Trading Log Notebook Now!

Great Log Book For All Kinds of Traders Have you ever wonder when and why you open a certain trade? This small but powerful positions journal will help you keep track all of your open trades, profitable or losing positions, so you can laser focus on your systems and strategies for maximum returns. Add To Cart Now A perfect place to record your trades and be accountable for the balance of your accounts at the end of the day. Features: 110 undated pages Space to jot down entries and exit points, balances and the time of the execution. Product Description 6x9" 110 pages Uniquely designed matte cover High quality, heavy paper We have lots of great trackers and journals, so be sure to check out our other listings by clicking on the "Author Name" link just below the title of this tracker. Ideas On How To Use This Tracker: Trader's Gift Father's Day Gift Birthday Gift Stocking Stuffer Wall Street Gift Coworker Gift Graduation Gift

Sick of staring at computer screens all the time? How about relaxing in your comfy armchair to analyze your stock portfolio instead. It's far better than idly flicking from screen to screen. Something else always pops up that you decide to deal with. But you know? You know you can only REALLY get a handle on what investing strategies are working by sitting down and getting a broad overview. And more importantly, you find out what's NOT working. This Stock Trading Notebook gives you a large clear format for formulating your ideas. It is ideally suited for value investors who buy and hold for a while. Who wants to earn a nice dividend as well as hoping for the stock to gap up like a champion, anticipating the next AGM. Composition Notebook Features: Cover: Color perfect sturdy matte softbound cover 100 white pages, 50 sheets 8.5" x 11" dimensions; the perfect size for your bag, desk, backpack, school, home or work Perfectly suited for taking notes, writing, organizing, lists, journaling and brainstorming Stock Trading Notebooks are the perfect gift for adults. Designed in the USA What's In The Notebook For You? This stock trading logbook contains: Trading Tables to fill in your buys and sells. It includes: Stock Name Stock Code (Ticker Symbol) Quantity Traded Buy Price and Date Sell Price and Date Target Price Stop Price (Stop Loss) Total Cost Net Return Profit or Loss and Short Notes on each particular trade Is That It? Anything Else? Yes - you'll get even more... In addition, each Trading Notes page has room for extra notes, thoughts, ideas and strategies at the bottom. And there are full pages at the front for general strategizing. At the front of the notebook, there is also a section for you to write your important contacts, such as banks, stockbrokers, and other contacts. PLUS a short Glossary to help explain some of the ratios you can use in the Watchlist Section to analyze company performance before deciding whether to buy a stock. So scroll up and grab your copy right now and get that armchair warmed up!