• Title/Summary/Keyword: Used Trading

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An Empirical Study of the Trading Rules on the basis of Market Anomalies and Technical Analysis (시장이상현상과 기술적 분석을 이용한 거래전략에 관한 연구)

  • Ohk, Ki-Yool;Lee, Min-Kyu
    • Management & Information Systems Review
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    • v.37 no.1
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    • pp.41-53
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    • 2018
  • This study validates the trading rules based market anomalies and technical analysis in the Korean stock market. For the analysis, we built decile portfolios on the basis of corporate characteristics factors that clearly demonstrate specific patterns of stock returns including the firm size, book-to-market equity, and accruals. This portfolio was used to develop a portfolio based on the moving average trading strategy which was used for popular technical analysis tools, and then that was evaluated using the Sharpe ratio. We also created a zero-cost portfolio to identify the profitability and success rate of the moving average trading strategy. We lastly sought to ensure a more robust evaluation by calculating the Sortino ratio of the portfolio based on the moving average trading strategy with various lags. Key findings from this validation are as follows. First, a smaller firm size, a higher book-to-market equity, and lower accruals led to larger average returns. Second, the risk-adjusted performance of the moving average trading strategy was the highest in terms of the firm size, followed by book-to-market equity and accruals. Third, the returns of the zero-cost portfolios all had a positive value, with its overall success rate hovering over 68.8%, demonstrating the successfulness of the moving average trading strategy. Fourth, various evaluations revealed the economic usefulness of our trading strategy that used market anomalies and technical analysis.

A Study on User Experience of the Security in Online Trading of used goods -Focused on Danggeun Market and Bungae Jangter- (중고거래 온라인 플랫폼의 보안을 위한 사용자 경험 연구 -당근마켓, 번개장터 중심으로-)

  • Park, Ga-Young;Kim, Seung-In
    • Journal of Digital Convergence
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    • v.19 no.7
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    • pp.313-318
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    • 2021
  • The purpose is to measure user experience in security-related services, focusing on Danggeun Market and Bungae Jangter, which are representative services in Korea among online trading of used goods. Using mobile applications, qualitative and quantitative research by conducting task experiments and surveys and in-depth interviews. As a result of the study, active interfaces are needed to make it easier for users to recognize safety and security services within current used trading platforms, a secure settlement method that benefits sellers, and services being provided to enhance security also need to consider graphical elements. This study is expected to help the continued development of safe used trading platforms considering security aspects on C2C-type platforms where buyers become sellers.

Selection Model of System Trading Strategies using SVM (SVM을 이용한 시스템트레이딩전략의 선택모형)

  • Park, Sungcheol;Kim, Sun Woong;Choi, Heung Sik
    • Journal of Intelligence and Information Systems
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    • v.20 no.2
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    • pp.59-71
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    • 2014
  • System trading is becoming more popular among Korean traders recently. System traders use automatic order systems based on the system generated buy and sell signals. These signals are generated from the predetermined entry and exit rules that were coded by system traders. Most researches on system trading have focused on designing profitable entry and exit rules using technical indicators. However, market conditions, strategy characteristics, and money management also have influences on the profitability of the system trading. Unexpected price deviations from the predetermined trading rules can incur large losses to system traders. Therefore, most professional traders use strategy portfolios rather than only one strategy. Building a good strategy portfolio is important because trading performance depends on strategy portfolios. Despite of the importance of designing strategy portfolio, rule of thumb methods have been used to select trading strategies. In this study, we propose a SVM-based strategy portfolio management system. SVM were introduced by Vapnik and is known to be effective for data mining area. It can build good portfolios within a very short period of time. Since SVM minimizes structural risks, it is best suitable for the futures trading market in which prices do not move exactly the same as the past. Our system trading strategies include moving-average cross system, MACD cross system, trend-following system, buy dips and sell rallies system, DMI system, Keltner channel system, Bollinger Bands system, and Fibonacci system. These strategies are well known and frequently being used by many professional traders. We program these strategies for generating automated system signals for entry and exit. We propose SVM-based strategies selection system and portfolio construction and order routing system. Strategies selection system is a portfolio training system. It generates training data and makes SVM model using optimal portfolio. We make $m{\times}n$ data matrix by dividing KOSPI 200 index futures data with a same period. Optimal strategy portfolio is derived from analyzing each strategy performance. SVM model is generated based on this data and optimal strategy portfolio. We use 80% of the data for training and the remaining 20% is used for testing the strategy. For training, we select two strategies which show the highest profit in the next day. Selection method 1 selects two strategies and method 2 selects maximum two strategies which show profit more than 0.1 point. We use one-against-all method which has fast processing time. We analyse the daily data of KOSPI 200 index futures contracts from January 1990 to November 2011. Price change rates for 50 days are used as SVM input data. The training period is from January 1990 to March 2007 and the test period is from March 2007 to November 2011. We suggest three benchmark strategies portfolio. BM1 holds two contracts of KOSPI 200 index futures for testing period. BM2 is constructed as two strategies which show the largest cumulative profit during 30 days before testing starts. BM3 has two strategies which show best profits during testing period. Trading cost include brokerage commission cost and slippage cost. The proposed strategy portfolio management system shows profit more than double of the benchmark portfolios. BM1 shows 103.44 point profit, BM2 shows 488.61 point profit, and BM3 shows 502.41 point profit after deducting trading cost. The best benchmark is the portfolio of the two best profit strategies during the test period. The proposed system 1 shows 706.22 point profit and proposed system 2 shows 768.95 point profit after deducting trading cost. The equity curves for the entire period show stable pattern. With higher profit, this suggests a good trading direction for system traders. We can make more stable and more profitable portfolios if we add money management module to the system.

The Profit Analysis of Straddle Sell by Entry-Time and Delta at System Trading (시스템 트레이딩에서 진입시점과 델타에 따른 스트래들 매도의 성능 분석)

  • Ko, Young Hoon;Kim, Yoon Sang
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.6 no.1
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    • pp.151-157
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    • 2010
  • This paper proposes the Pyramid strategy which is based on the straddle sell. The Pyamid strategy has multi-entry features with starting date and delta parameters. And It is hedged against a loss by mutual trades and dynamic ripples. This paper analyzes the profit and MDD(maximum draw down) of the Pyramid strategy on system trading. The portfolio tool is used for the experiment which is one of the Multicharts' package. The Multicharts is a good trading system of recent years. For the experiment, three call options and three put options are used at october in 2009. Two parameters are used which are the starting date from first October to twentieth October in 2009 and delta from eight percent to fifty percent. As a result, the profit of composite option is about 3 million won. If the strategy starts before the beginning of option month, investors feel uncomfortable because of a large MDD. If a delta belows 20%, it shows high profit and the ratio of profit and MDD builds up a low value. However a low delta makes frequent trades and results in a loss unless increasing entry levels which mean more amount of investment. This work provides a safer trade system than native option trades. It is important how much levels of multi-entry are acceptable. And an amount of investment with appropriate levels of multi-entry is a subject of a future study.

Analysis of Trading Performance on Intelligent Trading System for Directional Trading (방향성매매를 위한 지능형 매매시스템의 투자성과분석)

  • Choi, Heung-Sik;Kim, Sun-Woong;Park, Sung-Cheol
    • Journal of Intelligence and Information Systems
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    • v.17 no.3
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    • pp.187-201
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    • 2011
  • KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.

Developing a Trading System using the Relative Value between KOSPI 200 and S&P 500 Stock Index Futures (KOSPI 200과 S&P 500 주가지수 선물의 상대적 가치를 이용한 거래시스템 개발)

  • Kim, Young-Min;Lee, Suk-Jun
    • Management & Information Systems Review
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    • v.33 no.1
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    • pp.45-63
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    • 2014
  • A trading system is a computer trading program that automatically submits trades to an exchange. Mechanical a trading system to execute trade is spreading in the stock market. However, a trading system to trade a single asset might occur instability of the profit because payoff of this system is determined a asset movement. Therefore, it is necessary to develop a trading system that is trade two assets such as a pair trading that is to sell overvalued assets and buy the undervalued ones. The aim of this study is to propose a relative value based trading system designed to yield stable and profitable profits regardless of market conditions. In fact, we propose a procedure for building a trading system that is based on the rough set analysis of indicators derived from a price ratio between two assets. KOSPI 200 index futures and S&P 500 index futures are used as a data for evaluation of the proposed trading system. We intend to examine the usefulness of this model through an empirical study.

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Effects of Program Trading Halts on Information Asymmetry : Program Trading Stocks, Index Arbitrage Stocks, and Non-index Arbitrage Stocks (프로그램매매 중단장치가 차익거래종목과 비차익거래종목의 정보비대칭에 미치는 영향)

  • Park, Jong-Won;Eom, Yun-Sung;Chang, Uk
    • The Korean Journal of Financial Management
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    • v.26 no.3
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    • pp.65-101
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    • 2009
  • The effects of program trading halts system (sidecar) on information asymmetry of program trading stocks, index arbitrage stocks, and non-index arbitrage stocks in the Korean stock market are examined. Effective spread and number of program trade of each stock are used as proxy variables for information asymmetry. The main results are as follows; Firstly, we find that effective spreads of program trading stocks in the post-halt period decrease significantly following the halt period. This means that sidecar has the effect of reducing information asymmetry in the Korean stock market. Secondly, the mitigation effect of information asymmetry of program trading stocks works only in buy-program trading stocks, but not in sell-program trading stocks. Thirdly, the results show that there are no distinct differences for index arbitrage group and non-index arbitrage group surrounding the sidecar events. In other words, program trading halts system has a mitigating effect of information asymmetry in not only index arbitrage trading stocks but also non-index arbitrage stocks. Fourthly, this mitigation effect works only in buy-sample not in sell-sample like in program trading stocks. And lastly, the analyses result of number of program trade shows that number of program trade of almost of sample stocks increases after the sidecar events. This implies that the information asymmetry is not fully resolved during the halt period and the effect of news inducing sidecar is continuing after the event.

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Using genetic algorithm to optimize rough set strategy in KOSPI200 futures market (선물시장에서 러프집합 기반의 유전자 알고리즘을 이용한 최적화 거래전략 개발)

  • Chung, Seung Hwan;Oh, Kyong Joo
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.2
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    • pp.281-292
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    • 2014
  • As the importance of algorithm trading is getting stronger, researches for artificial intelligence (AI) based trading strategy is also being more important. However, there are not enough studies about using more than two AI methodologies in one trading system. The main aim of this study is development of algorithm trading strategy based on the rough set theory that is one of rule-based AI methodologies. Especially, this study used genetic algorithm for optimizing profit of rough set based strategy rule. The most important contribution of this study is proposing efficient convergence of two different AI methodology in algorithm trading system. Target of purposed trading system is KOPSI200 futures market. In empirical study, we prove that purposed trading system earns significant profit from 2009 to 2012. Moreover, our system is evaluated higher shape ratio than buy-and-hold strategy.

A Study for Used Transaction Analysis System using Big Data (빅데이터를 이용한 중고 거래 분석 시스템 연구)

  • Ahn, Byeongtae
    • Journal of Digital Convergence
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    • v.19 no.6
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    • pp.259-264
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    • 2021
  • Recently, as the number of used trading sites supporting used trading increases, users want to search for a variety of information in real time. This new change has enabled a new type of C2C (Commerce to Commerce) transaction in the e-commerce base. However, since each used trading site has its own characteristics, it is difficult to standardize the whole. Therefore, in this paper, we studied a system that provides the transaction data used by the user in real time and provides the desired information quickly. In this paper, we researched the crawler system necessary for the development of the integrated trading system for used goods through Internet e-commerce, and made it possible to provide information in the web environment desired by the user through the defined morpheme analyzer. Therefore, in this study, we designed a system that provides information desired by users without accessing various used goods sites.

The present status and development of e-marketplace focused on EC21 (전자무역 거래알선사이트의 현황과 발전방향 - EC21을 중심으로 -)

  • Chung, Jae-Song
    • International Commerce and Information Review
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    • v.5 no.1
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    • pp.181-202
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    • 2003
  • This study investigates the present status and development of e-marketplace which is the most actively used in the e-trade stages from market research, searching for business partners, negotiations to contract. It also shows the present status and development of e-marketplace as an "e-trading company" designated by government, which gives prospect of profitable model of e-marketplace. Especially focused on EC21 - the best e-marketplace of Korea, this study views present status and development of EC21 and trading companies applied for EC21, government designated e-trading company, to receive electronic trading support services. In addition, we hope that the findings of this study will be a helpful material to government for making policy and framing supporting project toward leading organizations of e-trade such as Ministry of Commerce, Industry and Energy, e-trade promotion committee of Korea International Trade Association and small-ta-medium companies interested in e-trade, to activate e-trade.

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