Relevant bibliographies by topics / Best penny stocks to buy

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Academic literature on the topic 'Best penny stocks to buy'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Best penny stocks to buy"

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Tadas, Harikrishna, Jeevan Nagarkar, Sushant Malik, Dharmesh K. Mishra, and Dipen Paul. "The effectiveness of technical trading strategies: Evidence from Indian equity markets." Investment Management and Financial Innovations 20, no. 2 (2023): 26–40. http://dx.doi.org/10.21511/imfi.20(2).2023.03.

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The purpose of the study was to analyze the effectiveness of technical trading strategies in trading stocks of selected Indian companies represented in the Nifty 50 Index. The research was done using secondary data from January 2022 to August 2022. Hourly share prices of 14 largest companies as per market capitalization from 14 different sectors from the Nifty 50 Index were considered as a part of the study. Simple Moving Average, Exponential Moving Average – Relative Strength Index and Bollinger Bands – Relative Strength Index – strategies considered in the study. It was found that strategy b
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Atkins, Allen, Kevin C. H. Chiang, and Ming-Long Lee. "Chasing Housing Prices?" Journal of Applied Business Research (JABR) 28, no. 2 (2012): 237. http://dx.doi.org/10.19030/jabr.v28i2.6844.

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If a person or organization is planning to buy real estate in the future but is unable or unwilling to buy it now, how can they best hedge this purchase? In what class of asset should they invest their money until they are ready to purchase the real estate? This paper uses Monte Carlo simulation and bootstrap techniques to investigate the effectiveness of using traditional asset classes in managing the long-term risks associated with the future purchase of real estate. We find that the best purchase early hedge for both residential and commercial real estate is small value stocks. Small value
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Balik, Robert, and Jamshid Mehran. "Benjamin Graham Revisited." Journal of Finance Issues 6, no. 2 (2008): 181–86. http://dx.doi.org/10.58886/jfi.v6i2.2399.

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Warren Buffett read the first edition of Benjamin Graham’s book, The Intelligent Investor, in 1950. According to Buffett (Graham, Revised, 2003) “I thought then that it was by far the best book about investing ever written. I still think it is.” Can a buy and hold defensive investor use this stock selection criteria and earn a positive abnormal risk adjusted rate of return? To test this hypothesis data for 2000 and prior years are used to select stocks that meet the defensive investor criteria. Nine stocks from an original list of more than 9,000 satisfy the criteria. Buy and hold is the inves
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Sandri, Siti Hanifa, Siti Samsiah, Misral Misral, Bakaruddin Bakaruddin, Sri Rahmayanti, and Hendri Ali Ardi. "INVESTASI SAHAM BAGI PEMULA." Jurnal Pengabdian UntukMu NegeRI 3, no. 1 (2019): 40–45. http://dx.doi.org/10.37859/jpumri.v3i1.1105.

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Investing is the best option for maintaining financial security in the future. For most people especially beginners, investing is a very complicated thing and will make it confused to take the right investment decision. All types of investments contain elements of risk. Investor decisions are based on consideration of risk factors and expected gains. The purpose of this activity is to socialize the investment measures for beginners who are teachers and learners. Acquire the right knowledge of trends to buy stocks in the capital market for beginners i.e. teachers and students through live pract
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Bhavanagarwala, Mustafa Shabbir, Nagarjun K N, Tanzim Abbas Charolia, Vishal M, and Ashwini M. "STOCK AND CRYPTOCURRENCY PREDICTION." International Journal of Innovative Research in Advanced Engineering 9, no. 8 (2022): 182–86. http://dx.doi.org/10.26562/ijirae.2022.v0908.06.

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In our project, the point is to anticipate long term esteem of the money related stocks of a company and crypto coins individually with fine precision. The future prices of stock and cryptocurrency are predicted by using the past available values. “Buy low, sell high" is a good saying but it is not a good choice for making speculations. Investment is best stock or crypto currency in awful time can have bad results, while investment in best stock or cryptocurrency at right time can have best benefits. Prediction for long term values is easy as compared to day-to-day basis as prices fluctuate a
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Harahap, Kartini. "How to Get Daily Capital Gain in Covid-19 Pandemic Period? (Case study: Indonesia Stock Exchange)." International Journal of Business Studies 6, SI (2022): 44–53. http://dx.doi.org/10.32924/ijbs.v6i1.185.

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The purpose of this research is to find out how to obtain daily capital gains in the midst of the Covid-19 pandemic using the day trade strategy and the Stochastic Oscillator as a technical indicator case study of stocks in the telecommunications industry sector. This research is descriptive in nature and uses secondary data, namely: data on daily stock prices and hourly charts, per 10 minutes on the stock price movements of PT Telekomunikasi Indonesia Tbk (TLKM) and PT Smartfren Telecom Tbk (FREN). The result of this study are finding TLKM and FREN stocks as the right stocks for day trade, da
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Delrinata, Winanda, and Fernando B. Siahaan. "Implementasi Algoritma Apriori Untuk Menentukan Stok Obat." Jurnal Sisfokom (Sistem Informasi dan Komputer) 9, no. 2 (2020): 222. http://dx.doi.org/10.32736/sisfokom.v9i2.875.

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The supply of drugs in a pharmacy is very important to maintain the fulfillment of consumer needs based on a doctor's prescription. Problems arise due to limitations on the expiry date of each drug, this needs to be overcome so that there is no buildup of drug stocks at the pharmacy so that it causes losses because there are types of drugs that have expired in sufficient quantities, therefore we need data mining that can determine which pattern of drug type works best, using a priori algorithm. The association method is needed to see the correlation between a number of attributes for example i
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Rickett, Laura, and Pratim Datta. "Beauty-Contests in the Age of Financialization: Information Activism and Retail Investor Behavior." Journal of Information Technology 33, no. 1 (2018): 31–49. http://dx.doi.org/10.1057/s41265-016-0026-2.

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Keynes (The General Theory of Employment, Interest and Money, Harcourt Brace and Co., New York, 1936) had rightfully argued that picking stocks is akin to a beauty contest. The chances of winning are amplified if one's choice matches the likelihood of the panel's choice. In this era of financialization, where profit-making has shifted to speculative sways rather than fundamental trade and commodity production measures (Krippner, Socio-Econ Rev 3(2): 173-208, 2005), similar beauty contests have become even more acute. Online, real-time media channels along with pervasive investments application
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Gomathi, M., and Dr S. Nirmala. "Analysis of Nifty Movement on Share Prices of Selected Construction Companies." INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY 1, no. 3 (2012): 59–65. http://dx.doi.org/10.24297/ijmit.v1i3.1421.

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This study aims at analyzing and predicting the price movements of construction companies stocks contributing to the NIFTY50 Index. To analyze the volatility of telecom stock and understand the behavior of stock prices in construction sector stocks i.e. (JP ASSOCIATES LIMITED, DLF LIMITED, GAMMON INDIA LIMITED, PUNJ LLOYD LIMITED, HCC LIMITED). The data for these stocks are collected from magazines, newspaper and websites. The stocks are analyzed by monitoring their respective price movements using technical tools. The technical tools used in this study are Exponential moving average, Relative
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Iriyadi, Iriyadi, Meiryani Meiryani, Ahmad Syamil, et al. "The analysis of chasing returns strategy in equity funds." Corporate and Business Strategy Review 5, no. 1 (2024): 66–76. http://dx.doi.org/10.22495/cbsrv5i1art7.

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Most of the new investors, who are dominated by millennial investors, do not understand the basics of the capital market, so they have to suffer losses. Therefore, a strategy for investing in mutual funds is needed. This study aims to compare the performance of return-chasing investments with the buy-and-hold strategy in providing the best return to stock mutual fund investors. Beers (2020) states that “buy-and-hold” is a strategy in which investors buy stocks (or other types of securities, such as exchange-traded funds) and hold them for a long time regardless of market fluctuations. The data
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Books on the topic "Best penny stocks to buy"

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Sander, Peter J. The 100 best stocks you can buy 2010. Adams Media, 2009.

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Scott, Bobo, and ebrary Inc, eds. The 100 best stocks you can buy 2012. Adams Media, 2011.

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Sander, Peter J. The 100 best aggressive stocks you can buy, 2012. Adams Media, 2011.

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Sander, Peter J. The 100 best aggressive stocks you can buy, 2012. Adams Media, 2011.

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Sander, Peter J. The 100 best technology stocks you can buy, 2012. Adams Media, 2012.

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Best Stocks to Buy In 2020. Independently Published, 2020.

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Best Stocks to Buy For 2021. Independently Published, 2020.

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100 best stocks you can buy. 2nd ed. Adams Media Publication, 2000.

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100 Best Stocks to Buy In 2016. Adams Media Corporation, 2015.

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100 Best Stocks to Buy In 2015. Adams Media Corporation, 2014.

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Book chapters on the topic "Best penny stocks to buy"

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Quintana, Jose Mario, Viridjana Lourdes, Omar Aguilar, and Jane Liu. "Global Gambling." In Bayesian Statistics 7. Oxford University PressOxford, 2003. http://dx.doi.org/10.1093/oso/9780198526155.003.0019.

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Abstract Phillip Johnson, a former chairman of the Commodity Futures Trading Commission, once remarked “If I buy stocks or bonds I am called an investor. If, on the other hand, I buy futures contracts, I am—at best—called a speculator or—worse—a gambler.” He was suggesting that the colorful terminology of the futures markets might mislead the public. Nevertheless, the difference between investing, speculating and gambling, technically, blurs to variations in the objectives (e.g., the fear and greed tradeoff attitude and the time horizon). Furthermore, financial derivatives contracts such as fu
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Khandor, Vatsal, Sanay Shah, Parth Kalkotwar, Saurav Tiwari, and Sindhu Nair. "Cryptocurrency Portfolio Management Using Reinforcement Learning." In Deep Learning: Theory, Architectures and Applications in Speech, Image and Language Processing. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815079210123010018.

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Portfolio management is the science of choosing the best investment policies and strategies with the aim of getting maximum returns. Simply, it means managing the assets/stocks of a company, organization, or individual and taking into account the risks, and increasing the profit. This paper proposes portfolio management using a bot leveraging a reinforcement learning environment specifically for cryptocurrencies which are a hot topic in the current world of technology. The reinforcement Learning Environment gives the reward/penalty to the agent, which helps it train itself during the training
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Singal, Vijay. "The Weekend Effect." In Beyond The Random Walk. Oxford University PressNew York, NY, 2003. http://dx.doi.org/10.1093/oso/9780195158670.003.0003.

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Abstract The weekend effect refers to relatively large returns on Fridays compared to those on Mondays. Whereas the Friday returns exceed 0.20%, the Monday returns are close to zero or negative resulting in a weekend effect for an equally weighted index of 0.34 percent. On the other hand, the weekend effect for a value-weighted index has fallen to zero during the 1990s. Short sellers may be responsible for the weekend effect because they do not want to keep speculative positions open around the weekend. Accordingly, they close the short positions by buying back on Fridays and reopen them by sh
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Conference papers on the topic "Best penny stocks to buy"

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Biazon, Victor, and Reinaldo Bianchi. "Gated Recurrent Unit Networks and Discrete Wavelet Transforms Applied to Forecasting and Trading in the Stock Market." In Encontro Nacional de Inteligência Artificial e Computacional. Sociedade Brasileira de Computação - SBC, 2020. http://dx.doi.org/10.5753/eniac.2020.12167.

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Trading in the stock market always comes with the challenge of deciding the best action to take on each time step. The problem is intensified by the theory that it is not possible to predict stock market time series as all information related to the stock price is already contained in it. In this work we propose a novel model called Discrete Wavelet Transform Gated Recurrent Unit Network (DWT-GRU). The model learns from the data to choose between buying, holding and selling, and when to execute them. The proposed model was compared to other recurrent neural networks, with and without wavelets
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