• Title/Summary/Keyword: Multicharts

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An analysis of Performance on the strategy of ladder trades in a symbol pool by Multicharts (멀티차트를 사용한 종목군 계단식 매매 전략에 대한 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.2
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    • pp.225-231
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    • 2010
  • This paper proposes the strategy of ladder trades in a symbol pool and simulates a performance of it on the Multicharts' system trading tool. The ladder trading strategy is based on a multi-entry strategy which is efficient for several symbols. A symbol pool is composed of verified stocks comprising KOSPI200 and 17 symbols are selected for an examination which equity is over 10 billion. From July to December in 2009, optimum parameters are searched and the results are delta is 4% and ladder is 5. When those parameters are adopted, the profit is 1,000,000 won as a single trade and the number of trade is 188. The next study is to modify a ladder shape for increasing probability and to find the difference of optimum parameters according to trading months.

Study on the Performance Analysis of Push-Pull Strategy by Multicharts' Portpolio (멀티차트 포트폴리오를 이용한 푸쉬풀 전략의 성능 분석에 관한 연구)

  • Ko, Young-Hoon;Kim, Yoon-Sang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.317-324
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    • 2010
  • This paper analyses the performance of push-pull strategy by Multicharts' portpolio tool. This strategy decreases a risk of option sell by moving an exercise price to outward and compensates the profit by doubling contracts. This strategy also makes risk-free option sell to move inward for earning gain. This strategy basically uses several symbols. And this feature makes impossible to use a portpolio tool. However, This paper provides the method to use it with extracting intrinsic data from a symbolname. As an experiment for one month of september experiment options, it shows 1.5 million won in case of 5-displace and also shows 32 million won in case of 2.5-displace. If a Margin is enough, this strategy always earns profit, but it's difficult to be applicated in real trades because of a margin risk.

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.

Smart Android Agent for Multicharts Trading System (멀티차트 자동매매 시스템의 스마트 안드로이드 에이전트 개발)

  • Ko, Young-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.277-280
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    • 2015
  • 자본주의는 시장 경제를 토대로 하고 있다. 시장 경제는 주식시장이 핵심이며, 주식시장의 위험회피를 위한 파생시장은 결국 자본주의의 가장 근본적인 요소이다. 다양하고 복잡한 파생시장에서 시스템 트레이딩의 중요성은 나날이 커지고 있으며, 감정을 극복하고 전략적인 매매를 하기 위한 최선의 방법이기도하다. 한국의 시스템 트레이딩은 전통적인 TS와 최신기술로 탄생한 Multicharts가 있다. Multicharts는 틱 단위의 신호데이타를 분석하여 실시간 거래를 할 수 있는 뛰어난 시스템이지만 아직 스마트폰 에이전트가 없다. PC에서는 Multicharts의 모든 기능을 수행할 수 있지만 관리자가 어디에서나 상황을 체크하고 제어할 수 있다면 훨씬 효과적인 운용이 가능할 것이다. PC에 기록되는 신호정보와 거래정보를 스마트폰으로 확인하고, 전략 실행을 스마트폰에서 제어하는 것만 가능해도, 보다 여유롭고 효율적인 파생거래를 할 수 있다. 이를 위해 안드로이드 폰과 PC간의 보안 연결을 설정하고 데이터 동기화를 구축하며, 이벤트 처리를 구현했다. 그리고 다수의 샘플 전략을 이용하여 스마트폰 UI를 구성하고 이의 효율성을 테스트하였다.