Tag: trading
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Biotech Genmab Hold Alert via Fibonacci Retracement Trading Simulations
SeekingAlpha: A ‘Strong Buy’ Call on Genmab. While analysts were issuing bearish calls on Danish biotech Genmab (GMAB), Seeking Alpha contributor Biologics had different thoughts. In fact, Genmab has risen about 6% for 2022 even as the broader biotech sector has shed about 27% for the year. Let’s examine the Genmab stock in terms of […]
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Stock Market ’22 Round Up & ’23 Outlook: Zacks Strategy vs Seeking Alpha Tactics
Featured Photo by Pixabay Contents: Zacks Market Research 2022 has been a strong year for jobs: Commodity markets: Energy: Global Investments: In the Zacks October 2022 Chief Investment Officer (CIO) survey, the CIOs made it fairly clear how they felt about investing outside the US. Answer: not great. Corporate High Yield and Investment Grade Bonds:In […]
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XOM SMA-EMA-RSI Golden Crosses ’22
Featured Photo by Johannes Plenio on Pexels. Today we will discuss the XOM stock using most basic technical trading indicators (TTIs) within the Python library ta-lib. Recall that this library is widely used by algo traders requiring to perform technical analysis of financial market data. It includes 150+ indicators such as ADX, MACD, RSI, Stochastic, […]
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DOGE-INR Price Prediction Backtesting
Featured Photo by Rūdolfs Klintsons Let’s look at the Dogecoin: Dogecoin (DOGE) is traded on CRYPTO Exchanges. Dogecoin is peer-to-peer digital currency powered by the Blockchain technology. Dogecoin is one of many evolving digital currencies in which encryption is used to regulate the generation of units of currency and verify the transactions independently of a central authority. […]
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The Zacks Market Outlook Nov ’22 – Energy
Featured Image by Canva. Let’s review the current Energy Market Outlook to power your investment portfolio with Zack Research. Indeed, Energy is at the heart of development. Energy makes possible the investments, innovations, and new industries that are the engines of jobs, inclusive growth, and shared prosperity for entire economies. What Rapidly Shifting Energy Markets […]
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The $ASML Trading Strategies via the Plotly Stock Market Dashboard
Featured Photo by Jeremy Waterhouse. Recently, Dr. Dividend shared his insights into $ASML EUV business. This post is a follow-up based upon the highly interactive Plotly Stock Market Dashboard. Let’s import/install the key libraries !pip install pandas_datareader Successfully installed pandas_datareader-0.10.0 !pip install ta Successfully installed ta-0.10.2 import numpy as npimport pandas as pdfrom pandas_datareader import […]
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DJI Market State Analysis using the Cruz Fitting Algorithm
Based upon the Cruz stochastic fitting algorithm and the colab code implementing a Hidden Markov Model, let’s predict the DJI stock returns from 1970 to 2022 and detect three states such as bull (green), sideways (yellow) and bear (red) markets. Let’s set the working directory YOURPATH import osos.chdir(‘YOURPATH’) os. getcwd() and import/install the following libraries […]
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A TradeSanta’s Quick Guide to Best Swing Trading Indicators
This post was motivated by the recent TradeSanta’s insights into Top 6 Indicators For Swing Trading. Key Takeaways: RSI/STOCH – early spot an opportunity EOM – predicts a current trend with confidence MACD – generate robust BUY/SELL signal alerts BB – double check MACD trading signals/alerts VO – simple market sentiment check Use automated trading software (e.g. bots)
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Risk/Return POA – Dr. Dividend’s Positions
Based upon the Portfolio Optimization Algorithm (POA) discussed earlier and the relevant POA QC analysis and comparisons, let’s look at the current stock positions suggested by Dr. Dividend (DD). Let’s define the following POA parameters: benchmark_ = [“^GSPC”,]portfolio_ = [‘AAPL’, ‘GOOG’, ‘COST’, ‘SBUX’, ‘DE’,’SOFI’,’APD’,’UNH’,’SHW’,’NVDA’] start_date_ = “2021-01-01”end_date_ = “2022-10-05”number_of_scenarios = 10000 trade_days_per_year = 252 delta_risk […]
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The Qullamaggie’s TSLA Breakouts for Swing Traders
This project was inspired by the Qullamaggie’s breakout strategy for swing traders implemented as a simple stock scanner in Python. We will download the TSLA historical data from Yahoo finance. Let’s set the working directory YOURPATH and import libraries import os os.chdir(‘YOURPATH’) os. getcwd() import numpy as npimport pandas as pdimport yfinance as yf import […]
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Stock Forecasting with FBProphet
Prophet from Meta (Facebook) is a procedure for forecasting time series data such as stocks. Prophet is robust to missing data and shifts in the trend, and typically handles outliers well.
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A Weekday Market Research Update
Market technical analysis, research and ideas.
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Upswing Resilient Investor Guide
About Investment Business Helicopter View Business Intelligence (BI) Sneak Peek Risk/Return Ratio Risk Severity Matrix Min(Risk) Control Max(Reward) Control Stock Liquidity Bid-Ask Spread (BAS) Roadmap to the Highest Return 1 Preparation Phase (Workspace Setup) 2 Stock Data Analytics (Crunch the Numbers) 3 Max(Return) “Double Your Money” 4 Min(Fees) – “Investment Fees Matter” 5 Risk/Return Trade-Off […]
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RISK AWARE INVESTMENT: GUIDE FOR EVERYONE
This is a 7-day risk aware investing/trading tour for all levels of newbies to benefit from. The goal is to answer the million-dollar question: How do I get started within 1 week (!) without prior knowledge, what to invest in – and how much? Based on an extensive stock data analysis of the largest Fortune 500 companies as well as start-ups, this guide will show you how to maximize your returns while dealing with the risk of losses. In fact, even though some companies may choose to pay dividends, your stocks could instantly lose (a part of) their value due to wide price fluctuations and heavy trading. Therefore, it’s very important to support you in a fit-for-purpose quantitative manner when it comes to the level of overall risk/volatility you are willing and able to run. The all-in-one way to quantify risk/return factors in the stock market is to introduce a Traffic Light System (TLS) as a product of loss or success and impact/severity scores that represent the Business Intelligence (BI) indicators of your investment choices.