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2.5배, 고정 익절 없음, 최대 보유 30일. 손절선은 유리한 방향으로만 움직이며 물타기하지 않습니다.","수수료 0.045%·슬리피지 0.02% 편도와 실제 펀딩을 반영합니다. 비용 2배 열은 수수료·슬리피지만 2배로 재실행한 민감도이며 펀딩은 같습니다.","수량 계산에 8시간 추정 펀딩 여유를 포함하지만, 장기 보유의 실제 누적 펀딩·갭으로 거래 손실은 초기 예산보다 커질 수 있습니다.","BTC 현물 보유는 배율 없는 비교이며 진입·종료 비용을 반영합니다. 전략은 연말·자료 종료 시 미결제 포지션도 비용을 내고 종료합니다.","최대 낙폭은 15분봉 마감 평가액 기준. 과거 수수료 등급·정확한 마크가격 청산 엔진은 생략하며, 원자료 누락 및 펀딩 추정은 결과에 표시합니다.","상장폐지 종목을 포함한 전체 시장이 아니라 현재 선택한 BTC·ETH·SOL만 사용합니다. Binance 과거 결과를 Hyperliquid 진행 계좌 성적으로 간주하지 않습니다.","과거 수익만으로 기본 전략을 교체하지 않습니다. 새 자료와 발표 이후 거래에서 수익·낙폭을 다시 확인해야 합니다."],"references":[{"title":"Time Series Momentum — research motivation; different horizons and markets","url":"https://www.aqr.com/Insights/Research/Journal-Article/Time-Series-Momentum"},{"title":"Binance public data","url":"https://github.com/binance/binance-public-data"}],"screening":[{"method":"channel20","positivePeriods":2,"totalPeriods":3,"worstDrawdown":0.1300545587151838,"totalTrades":192,"passesExploratoryScreen":false},{"method":"ema10_30","positivePeriods":2,"totalPeriods":3,"worstDrawdown":0.224210799384284,"totalTrades":629,"passesExploratoryScreen":false},{"method":"momentum14","positivePeriods":3,"totalPeriods":3,"worstDrawdown":0.1897377608958689,"totalTrades":799,"passesExploratoryScreen":false}],"manifestFile":"1791461256430-manifest.json"},"publicBotResearch":{"version":"public-bot-ideas-common-risk-v1","generatedAt":1791461266162,"dataEnd":1790812799999,"status":"공개 전략 응용 · 과거 비교 실험","deployed":false,"coverage":{"BTC":{"start":1577836800000,"end":1790812799999,"bars":236640,"hours":59160,"fundingEvents":7395,"missingBars":0,"invalidRows":0},"ETH":{"start":1577836800000,"end":1790812799999,"bars":236640,"hours":59160,"fundingEvents":7395,"missingBars":0,"invalidRows":0},"SOL":{"start":1600066800000,"end":1790812799999,"bars":211460,"hours":52865,"fundingEvents":6700,"missingBars":480,"invalidRows":0}},"sourceHash":"1b5eea349176f6b19b55e70d6aa03694b756cd6da37f71824c43ceeedb2f292a","methods":[{"id":"momentum14","name":"14일 모멘텀","description":"14일 가격 변화가 4시간 ATR의 2배를 넘으면 그 방향으로 진입. 모멘텀이 반전하면 종료.","sourceTitle":"기존 대시보드 기준 전략","url":"https://www.aqr.com/Insights/Research/Journal-Article/Time-Series-Momentum","adaptation":"이전 14일 모멘텀 구현을 그대로 비교 기준으로 사용. 논문의 전략·수익률 복제가 아님."},{"id":"humming_macdbb","name":"Hummingbot MACD·BB 응용","description":"볼린저 밴드 위치와 MACD 반전이 함께 나타날 때 평균 회귀 진입. 중앙선 복귀 시 종료.","sourceTitle":"Hummingbot · Federico Cardoso 공개 코드","url":"https://gist.github.com/cardosofede/54d31cae1d9bb0e6d70ead6191ca05d6","adaptation":"BB 100·2, MACD 21·42·9, 0.2/0.8 진입 조건은 공개 코드 기준. 원본 APE 3분봉·20배·55분 제한을 BTC/ETH/SOL 4시간봉·공통 위험 관리로 변경. 중앙선 종료를 추가."},{"id":"triple_supertrend","name":"Triple Supertrend 응용","description":"세 Supertrend 방향이 일치하면 진입하고 모두 반대로 바뀌면 종료.","sourceTitle":"Freqtrade 전략 저장소 · Supertrend","url":"https://github.com/freqtrade/freqtrade-strategies/blob/main/user_data/strategies/Supertrend.py","adaptation":"세 지표 합의 아이디어만 적용. ATR 기간 7·10·14와 배수 3을 사전 고정하고 숏을 대칭 추가. 원본의 최적화된 1시간봉 매개변수·ROI·손절을 복제하지 않음."},{"id":"turtle55","name":"터틀 55일 돌파 응용","description":"직전 55일 고점·저점을 돌파하면 진입하고 반대 20일 채널을 벗어나면 종료.","sourceTitle":"Michael Covel · TurtleTrader 시스템 설명","url":"https://www.turtletrader.com/turtle-trading/","adaptation":"4시간봉 330개를 55일 범위로 사용. 종가 확인 후 다음 시가 체결, 추가 매수 생략, 공통 ATR 손절·30일 보유 제한 적용. 원본 터틀 시스템 전체 재현이 아님."},{"id":"rayner200","name":"Rayner 200일 돌파 응용","description":"직전 200일 고점·저점을 돌파하면 진입하고 반대 10일 채널을 벗어나면 종료.","sourceTitle":"Rayner Teo · Modified turtle rules","url":"https://www.tradingwithrayner.com/turtle-trading-rules/","adaptation":"4시간봉 1,200개로 200일 범위를 계산. 원문의 다수 전통 선물·2 ATR 손절을 세 코인과 공통 위험 관리로 변경. 원문 연 수익률 32.12%·최대 낙폭 41.51%는 저자의 다른 시장 백테스트 주장으로, 우리 성적에 사용하지 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Hummingbot 응용의 평균선 복귀와 각 추세 이탈은 다음 시가에 종료합니다. 추적 손절은 다음 봉부터 적용합니다.","수수료 0.045%·슬리피지 0.02% 편도, 실제 기록된 펀딩. 비용 2배는 수수료·슬리피지만 두 배로 재실행합니다. 누락 펀딩은 시간당 0.01% 지급 가정으로 표시합니다.","수량 계산에 8시간 펀딩 여유를 포함하지만 이후 펀딩·갭 손실은 예산을 넘을 수 있습니다. 평가 기간 말에는 모든 포지션을 비용을 내고 종료합니다.","최대 낙폭은 15분봉 마감 기준이며 실제 장중 낙폭은 더 클 수 있습니다. 유지증거금과 청산 가격은 근사치이고 과거 거래소의 정확한 마크가격 청산 엔진을 복제하지 않습니다.","현재 선택한 BTC·ETH·SOL의 선택·생존편향이 있습니다. 이미 연구에 사용했던 과거 자료를 재사용한 비교이므로 독립적인 미래 검증이나 수익 보장이 아닙니다.","원본의 고수익 홍보와 우리 계산을 구분합니다. 여러 후보 중 최고 결과를 고르는 과정 자체에 선택 편향이 있으며, 결과가 좋아도 진행 계좌를 자동 교체하지 않습니다.","전체 기간 양수, 두 배 비용에서도 양수, 각 연도 최대 낙폭 10% 이하, 총 종료 거래 100건 이상을 탐색 기준으로 확인합니다. 기준 통과도 실제 운용 검증을 대신하지 않습니다."],"reviewedNotRun":[{"name":"NostalgiaForInfinity","url":"https://github.com/iterativv/NostalgiaForInfinity","reason":"저장소와 설정 요건을 검토했으나 원본의 다중 조건·종목 선택·실행 구성을 재현하지 않았습니다. 이 봇의 성적으로 표시하지 않습니다."}],"screening":[{"method":"momentum14","positivePeriods":6,"totalPeriods":6,"stressPositivePeriods":5,"worstDrawdown":0.19021485690742468,"totalTrades":1600,"passesExploratoryScreen":false},{"method":"humming_macdbb","positivePeriods":1,"totalPeriods":6,"stressPositivePeriods":0,"worstDrawdown":0.15100302037471025,"totalTrades":690,"passesExploratoryScreen":false},{"method":"triple_supertrend","positivePeriods":4,"totalPeriods":6,"stressPositivePeriods":3,"worstDrawdown":0.21704825270246686,"totalTrades":1738,"passesExploratoryScreen":false},{"method":"turtle55","positivePeriods":4,"totalPeriods":6,"stressPositivePeriods":4,"worstDrawdown":0.12832067832845218,"totalTrades":226,"passesExploratoryScreen":false},{"method":"rayner200","positivePeriods":4,"totalPeriods":6,"stressPositivePeriods":4,"worstDrawdown":0.10050871107793491,"totalTrades":115,"passesExploratoryScreen":false}],"manifestFile":"1791461266162-manifest.json"},"longResearch":{"version":"long-futures-wide-mlp-v2-funding-clock","generatedAt":1791461203210,"status":"검증 보류","deployed":false,"dataEnd":1790812799999,"coverage":{"BTC":{"start":1577836800000,"end":1790812799999,"bars":236640,"hours":59160,"fundingEvents":7395,"missingBars":0,"invalidRows":0},"ETH":{"start":1577836800000,"end":1790812799999,"bars":236640,"hours":59160,"fundingEvents":7395,"missingBars":0,"invalidRows":0},"SOL":{"start":1600066800000,"end":1790812799999,"bars":211460,"hours":52865,"fundingEvents":6700,"missingBars":480,"invalidRows":0}},"archives":470,"sourceHash":"1b5eea349176f6b19b55e70d6aa03694b756cd6da37f71824c43ceeedb2f292a","sampleHash":"5ec88d5c0527a0c5d4725a4397d13a0a57d80c6c42ffcb7180d8b3ac17cebbd3","samples":19852,"folds":[{"year":2024,"evaluationStart":1704113999999,"evaluationEnd":1735667099999,"completeYear":true,"trainingStart":1578091499999,"trainingEnd":1672496999999,"validationStart":1672572599999,"validationEnd":1704011399999,"counts":{"train":9597,"validation":2216,"test":3259},"threshold":0.7,"validationOptions":[{"threshold":0.5,"accepted":350,"netR":-26.655127571049434},{"threshold":0.6,"accepted":145,"netR":-3.204863707018283},{"threshold":0.7,"accepted":75,"netR":4.163919928046862}],"warnings":["lbfgs failed to converge after 1000 iteration(s) (status=1):\nSTOP: TOTAL NO. 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OF ITERATIONS REACHED LIMIT\n\nIncrease the number of iterations to improve the convergence (max_iter=1000).\nYou might also want to scale the data as shown in:\n    https://scikit-learn.org/stable/modules/preprocessing.html"],"neuralBrier":0.24035895835747725,"linearBrier":0.22326923068017077,"constantBrier":0.22344554363954555,"accounts":{"rules":{"equity":9487.832666689716,"return":-0.0512167333310285,"maxDrawdown":0.09086298605066612,"trades":108,"winRate":0.4074074074074074,"fees":591.3198135667218,"funding":8.372370055876878,"positions":0,"estimatedFundingHours":0,"warnings":[]},"neuralFilter":{"equity":10024.44148972492,"return":0.0024441489724920107,"maxDrawdown":0.0023256607373215443,"trades":1,"winRate":1,"fees":5.386714676747582,"funding":-0.30528044703709106,"positions":0,"estimatedFundingHours":0,"warnings":[]}},"incrementalAfter":1788201899999,"previousSegments":[{"year":2026,"evaluationStart":1767231899999,"evaluationEnd":1788201899999,"completeYear":false,"trainingStart":1578091499999,"trainingEnd":1735651799999,"validationStart":1735762499999,"validationEnd":1767178799999,"counts":{"train":15077,"validation":3039,"test":1546},"threshold":0.7,"validationOptions":[{"threshold":0.5,"accepted":349,"netR":-64.8308166370632},{"threshold":0.6,"accepted":98,"netR":-26.672229924622208},{"threshold":0.7,"accepted":33,"netR":-5.479880958575711}],"warnings":["lbfgs failed to converge after 1000 iteration(s) (status=1):\nSTOP: TOTAL NO. OF ITERATIONS REACHED LIMIT\n\nIncrease the number of iterations to improve the convergence (max_iter=1000).\nYou might also want to scale the data as shown in:\n    https://scikit-learn.org/stable/modules/preprocessing.html"],"neuralBrier":0.2466705206475265,"linearBrier":0.2368341132148851,"constantBrier":0.23582526020332936,"accounts":{"rules":{"equity":8721.17054518258,"return":-0.12788294548174195,"maxDrawdown":0.3469781513264525,"trades":908,"winRate":0.38876651982378857,"fees":3275.4016127712916,"funding":53.456341354853706,"positions":0,"estimatedFundingHours":2,"warnings":["일부 펀딩 누락: 시간당 0.01% 지급 가정 포함"]},"neuralFilter":{"equity":9728.98623830495,"return":-0.02710137616950503,"maxDrawdown":0.03471030148476728,"trades":9,"winRate":0.2222222222222222,"fees":58.264971615048964,"funding":-0.23486507861078,"positions":0,"estimatedFundingHours":0,"warnings":[]}},"incrementalAfter":0,"modelFile":"1789191160807-2026-model.json"}],"modelFile":"1791461203210-2026-model.json"}],"reasons":["평가 구간별 신경망 종료 거래 100건 미달","모든 평가 구간에서 비용 차감 수익 양수를 달성하지 못함","일부 구간에서 단순 모델보다 예측 오차가 큼","일부 신경망 학습에서 수렴 경고 발생","원자료 일부 봉 누락·제외: 기간별 자료 한계 확인 필요"],"model":"MLP 16 → 8 · 확장 학습","venue":"Binance USD-M 공개 선물 기록","notes":["v1 보고서는 펀딩 시각의 밀리초 차이를 누락으로 처리한 오류가 있어 대체되었습니다. v2는 학습 정답·모델·평가를 모두 다시 계산한 보정 결과입니다.","코인 선물의 수십 년 기록은 존재하지 않습니다. 실제 월별 자료의 시작일부터 학습합니다.","2020년부터 학습 범위를 늘리고 직전 1년으로 선택한 뒤 다음 연도로 평가합니다. 경계는 32봉 추가 분리합니다.","각 평가 구간은 별도 $10,000 계좌이며 수익률을 더하거나 연결한 하나의 실적이 아닙니다.","장기 기록은 Binance, 진행 계좌는 Hyperliquid입니다. 거래소·유동성 차이 때문에 직접 이전 성능이 보장되지 않습니다.","과거 전체 시세를 탐색한 연구로, 발표 이후 모의운용 성적과 구분합니다. 최적 원칙이나 검증된 적중률을 의미하지 않습니다.","수수료 0.045%·슬리피지 0.02% 편도 고정, 실제 기록된 펀딩 정산 간격 적용. 역사적 거래소 수수료 등급·정확한 청산 엔진은 생략합니다.","이전 연구·모델은 보존하며 새 월별 자료가 있을 때 새 평가 구간을 추가합니다. 검증되지 않은 신경망은 운용에 적용하지 않습니다."],"manifestFile":"1791461203210-manifest.json"},"research":{"version":"pattern-mlp-16-8-v1","generatedAt":1791644735623,"model":"MLP · 은닉층 16 → 8","status":"검증 보류","deployed":false,"dataDays":78.43749998842593,"counts":{"train":130,"validation":73,"test":12},"bounds":{"validationStart":1788849899999,"testStart":1790884800000,"embargoMs":7200000},"evaluatedThrough":1791557099999,"sourceHash":"41dbc7a0d951441b68afacec427e7b47d6f10f39fb497f2eacc44fabdb51fe0a","nextReviewAt":1792249535623,"features":["rsi","atr_fraction","ema20_atr","ema50_atr","relative_volume","efficiency","body_fraction","lower_wick","upper_wick","return_4","return_16","return_64","hour_trend","side","retest","candle","false_break","BTC","ETH","SOL"],"sklearnVersion":"1.8.0","reasons":["90일 이상 가격 이력 미충족","평가 종료 거래 100건 미충족","비용 차감 후 수익 양수 미충족","단순 모델보다 예측 오차 개선 미충족","학습 수렴 경고 없음 미충족"],"notes":["학습 60% · 선택 20% · 뒤쪽 평가 20%, 코인 공통 시간 경계와 8봉 간격.","첫 결과는 규칙을 이미 연구한 자료의 탐색 평가입니다. 앞으로의 모의 성적과 구분합니다.","신호별 학습 표본은 겹칠 수 있어 독립 거래 수가 아닙니다. 계좌 성적은 별도 체결 엔진으로 계산합니다.","학습은 주 1회 검토하고 이미 평가한 기간을 다음 실험의 새 평가 성적으로 재사용하지 않습니다.","예측 점수는 보정된 적중 확률이 아닙니다. 신경망은 실험 중이며 진행 계좌에 적용하지 않습니다."],"trainingWarnings":["lbfgs failed to converge after 500 iteration(s) (status=1):\nSTOP: TOTAL NO. OF ITERATIONS REACHED LIMIT\n\nIncrease the number of iterations to improve the convergence (max_iter=500).\nYou might also want to scale the data as shown in:\n    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