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dc.contributor.advisorAbdullah, Asaduddin
dc.contributor.advisorWatazawwadu'ilmi, Sendy
dc.contributor.authorGHIFARI, NAUFAL ABIAN
dc.date.accessioned2026-07-23T02:31:18Z
dc.date.available2026-07-23T02:31:18Z
dc.date.issued2026
dc.identifier.urihttp://repository.ipb.ac.id/handle/123456789/175543
dc.description.abstractPeningkatan investor ritel di Indonesia mendorong penelitian ini untuk menganalisis efektivitas strategi active trading menggunakan indikator EMA, membandingkan parameter global EMA 20/50 dengan parameter lokal EMA 22/55, serta mengevaluasinya terhadap strategi Buy-and-Hold. Menggunakan data historis 8 emiten sektor mining dalam Indeks LQ45, penelitian ini melakukan backtesting dengan Risk-Reward Ratio 1:2, mengukur Win Rate, Net Profit, Maximum Drawdown, Recovery Ratio, dan Sharpe Ratio. Hasil menunjukkan EMA 22/55 lebih optimal, dengan win rate 51,5%, net profit 381,44%, recovery ratio 2,48, dan drawdown terkendali -19,15%. Strategi ini juga mengungguli Buy-and-Hold melalui mitigasi risiko, menjadikannya alat keputusan adaptif bagi investor ritel pada sektor volatil. Kata Kunci: analisis teknikal, backtesting, buy and hold, exponential moving average, LQ45
dc.description.abstractThe surge in Indonesian retail investors motivates this study to evaluate active trading strategies using the EMA indicator, comparing global-standard EMA 20/50 against localized EMA 22/55, benchmarked against the passive Buy-andHold strategy. Using historical data from eight mining-sector issuers in the LQ45 Index, backtesting simulations apply a 1:2 risk-reward ratio, assessing win rate, net profit, maximum drawdown, recovery ratio, and Sharpe ratio. Results show EMA 22/55 outperforms EMA 20/50, with a 51.5% win rate, 381.44% net profit, 2.48 recovery ratio, and -19.15% drawdown, offering retail investors a more adaptive tool for high-volatility sectors. Keywords: backtesting, buy and hold, exponential moving average, LQ45, technical analysis
dc.description.sponsorship
dc.language.isoid
dc.publisherIPB Universityid
dc.titleANALISIS KOMPARATIF STRATEGI CROSSOVER EXPONENTIAL MOVING AVERAGE PADA SAHAM SEKTOR MINING INDEKS LQ45 PERIODE 2021-2025id
dc.title.alternativeCOMPARATIVE ANALYSIS OF EXPONENTIAL MOVING AVERAGE CROSSOVER STRATEGY ON LQ45 INDEX MINING SECTOR STOCKS FOR THE 2021–2025 PERIOD
dc.typeSkripsi
dc.subject.keywordAnalisis Teknikalid
dc.subject.keywordbacktestingid
dc.subject.keywordbuy and holdid
dc.subject.keywordexponential moving averageid
dc.subject.keywordIndeks LQ45id
dc.subtypeUndergraduate Theses


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