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GitHub - bbfamily/abu: 阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
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class="flex-1"> <button aria-label="Toggle navigation" aria-expanded="false" type="button" data-view-component="true" class="js-details-target js-nav-padding-recalculate js-header-menu-toggle Button--link Button--medium Button d-lg-none color-fg-inherit p-1"> <span class="Button-content"> <span class="Button-label"><div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div> <div class="HeaderMenu-toggle-bar rounded my-1"></div></span> </span> </button> </div> <a class="mr-lg-3 color-fg-inherit flex-order-2 js-prevent-focus-on-mobile-nav" href="/" aria-label="Homepage" data-analytics-event="{"category":"Marketing nav","action":"click to go to homepage","label":"ref_page:Marketing;ref_cta:Logomark;ref_loc:Header"}"> <svg height="32" aria-hidden="true" viewBox="0 0 24 24" version="1.1" width="32" data-view-component="true" class="octicon octicon-mark-github"> <path d="M12 1C5.9225 1 1 5.9225 1 12C1 16.8675 4.14875 20.9787 8.52125 22.4362C9.07125 22.5325 9.2775 22.2025 9.2775 21.9137C9.2775 21.6525 9.26375 20.7862 9.26375 19.865C6.5 20.3737 5.785 19.1912 5.565 18.5725C5.44125 18.2562 4.905 17.28 4.4375 17.0187C4.0525 16.8125 3.5025 16.3037 4.42375 16.29C5.29 16.2762 5.90875 17.0875 6.115 17.4175C7.105 19.0812 8.68625 18.6137 9.31875 18.325C9.415 17.61 9.70375 17.1287 10.02 16.8537C7.5725 16.5787 5.015 15.63 5.015 11.4225C5.015 10.2262 5.44125 9.23625 6.1425 8.46625C6.0325 8.19125 5.6475 7.06375 6.2525 5.55125C6.2525 5.55125 7.17375 5.2625 9.2775 6.67875C10.1575 6.43125 11.0925 6.3075 12.0275 6.3075C12.9625 6.3075 13.8975 6.43125 14.7775 6.67875C16.8813 5.24875 17.8025 5.55125 17.8025 5.55125C18.4075 7.06375 18.0225 8.19125 17.9125 8.46625C18.6138 9.23625 19.04 10.2125 19.04 11.4225C19.04 15.6437 16.4688 16.5787 14.0213 16.8537C14.42 17.1975 14.7638 17.8575 14.7638 18.8887C14.7638 20.36 14.75 21.5425 14.75 21.9137C14.75 22.2025 14.9563 22.5462 15.5063 22.4362C19.8513 20.9787 23 16.8537 23 12C23 5.9225 18.0775 1 12 1Z"></path> </svg> </a> <div class="flex-1 flex-order-2 text-right"> <a href="/login?return_to=https%3A%2F%2Fgithub.com%2Fbbfamily%2Fabu" class="HeaderMenu-link HeaderMenu-button d-inline-flex d-lg-none flex-order-1 f5 no-underline border color-border-default rounded-2 px-2 py-1 color-fg-inherit js-prevent-focus-on-mobile-nav" data-hydro-click="{"event_type":"authentication.click","payload":{"location_in_page":"site header menu","repository_id":null,"auth_type":"SIGN_UP","originating_url":"https://github.com/bbfamily/abu","user_id":null}}" data-hydro-click-hmac="e36bf14cc18557cb35673ec79e637a832cc4bb4c350bed29f2fe7b20f99c11bc" data-analytics-event="{"category":"Marketing nav","action":"click to Sign in","label":"ref_page:Marketing;ref_cta:Sign in;ref_loc:Header"}" > Sign in </a> </div> </div> <div class="HeaderMenu js-header-menu height-fit position-lg-relative d-lg-flex flex-column flex-auto top-0"> <div class="HeaderMenu-wrapper d-flex flex-column flex-self-start flex-lg-row flex-auto rounded rounded-lg-0"> <nav class="HeaderMenu-nav" aria-label="Global"> <ul class="d-lg-flex list-style-none"> <li class="HeaderMenu-item position-relative flex-wrap flex-justify-between flex-items-center d-block d-lg-flex flex-lg-nowrap flex-lg-items-center js-details-container js-header-menu-item"> <button type="button" class="HeaderMenu-link border-0 width-full width-lg-auto px-0 px-lg-2 py-lg-2 no-wrap d-flex flex-items-center flex-justify-between js-details-target" aria-expanded="false"> Product <svg opacity="0.5" aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-chevron-down HeaderMenu-icon ml-1"> <path d="M12.78 5.22a.749.749 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.06 0L3.22 6.28a.749.749 0 1 1 1.06-1.06L8 8.939l3.72-3.719a.749.749 0 0 1 1.06 0Z"></path> </svg> </button> <div class="HeaderMenu-dropdown dropdown-menu rounded m-0 p-0 pt-2 pt-lg-4 position-relative position-lg-absolute left-0 left-lg-n3 pb-2 pb-lg-4 d-lg-flex flex-wrap dropdown-menu-wide"> <div class="HeaderMenu-column px-lg-4 border-lg-right mb-4 mb-lg-0 pr-lg-7"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0"> <ul class="list-style-none f5" > <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"github_copilot","context":"product","tag":"link","label":"github_copilot_link_product_navbar"}" href="https://github.com/features/copilot"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-copilot color-fg-subtle mr-3"> <path d="M23.922 16.992c-.861 1.495-5.859 5.023-11.922 5.023-6.063 0-11.061-3.528-11.922-5.023A.641.641 0 0 1 0 16.736v-2.869a.841.841 0 0 1 .053-.22c.372-.935 1.347-2.292 2.605-2.656.167-.429.414-1.055.644-1.517a10.195 10.195 0 0 1-.052-1.086c0-1.331.282-2.499 1.132-3.368.397-.406.89-.717 1.474-.952 1.399-1.136 3.392-2.093 6.122-2.093 2.731 0 4.767.957 6.166 2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 1.211.175 1.926.558 2.361.365.414 1.084.751 2.657.751 1.21 0 1.902-.394 2.344-.938.475-.584.742-1.44.878-2.497Z"></path><path d="M14.5 14.25a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Zm-5 0a1 1 0 0 1 1 1v2a1 1 0 0 1-2 0v-2a1 1 0 0 1 1-1Z"></path> </svg> <div> <div class="color-fg-default h4">GitHub Copilot</div> Write better code with AI </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"security","context":"product","tag":"link","label":"security_link_product_navbar"}" href="https://github.com/features/security"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon 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href="https://github.com/features/actions"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-workflow color-fg-subtle mr-3"> <path d="M1 3a2 2 0 0 1 2-2h6.5a2 2 0 0 1 2 2v6.5a2 2 0 0 1-2 2H7v4.063C7 16.355 7.644 17 8.438 17H12.5v-2.5a2 2 0 0 1 2-2H21a2 2 0 0 1 2 2V21a2 2 0 0 1-2 2h-6.5a2 2 0 0 1-2-2v-2.5H8.437A2.939 2.939 0 0 1 5.5 15.562V11.5H3a2 2 0 0 1-2-2Zm2-.5a.5.5 0 0 0-.5.5v6.5a.5.5 0 0 0 .5.5h6.5a.5.5 0 0 0 .5-.5V3a.5.5 0 0 0-.5-.5ZM14.5 14a.5.5 0 0 0-.5.5V21a.5.5 0 0 0 .5.5H21a.5.5 0 0 0 .5-.5v-6.5a.5.5 0 0 0-.5-.5Z"></path> </svg> <div> <div class="color-fg-default h4">Actions</div> Automate any workflow </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"codespaces","context":"product","tag":"link","label":"codespaces_link_product_navbar"}" href="https://github.com/features/codespaces"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-codespaces color-fg-subtle mr-3"> <path d="M3.5 3.75C3.5 2.784 4.284 2 5.25 2h13.5c.966 0 1.75.784 1.75 1.75v7.5A1.75 1.75 0 0 1 18.75 13H5.25a1.75 1.75 0 0 1-1.75-1.75Zm-2 12c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v4a1.75 1.75 0 0 1-1.75 1.75H3.25a1.75 1.75 0 0 1-1.75-1.75ZM5.25 3.5a.25.25 0 0 0-.25.25v7.5c0 .138.112.25.25.25h13.5a.25.25 0 0 0 .25-.25v-7.5a.25.25 0 0 0-.25-.25Zm-2 12a.25.25 0 0 0-.25.25v4c0 .138.112.25.25.25h17.5a.25.25 0 0 0 .25-.25v-4a.25.25 0 0 0-.25-.25Z"></path><path d="M10 17.75a.75.75 0 0 1 .75-.75h6.5a.75.75 0 0 1 0 1.5h-6.5a.75.75 0 0 1-.75-.75Zm-4 0a.75.75 0 0 1 .75-.75h.5a.75.75 0 0 1 0 1.5h-.5a.75.75 0 0 1-.75-.75Z"></path> </svg> <div> <div class="color-fg-default h4">Codespaces</div> Instant dev environments </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"issues","context":"product","tag":"link","label":"issues_link_product_navbar"}" href="https://github.com/features/issues"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-issue-opened color-fg-subtle mr-3"> <path d="M12 1c6.075 0 11 4.925 11 11s-4.925 11-11 11S1 18.075 1 12 5.925 1 12 1ZM2.5 12a9.5 9.5 0 0 0 9.5 9.5 9.5 9.5 0 0 0 9.5-9.5A9.5 9.5 0 0 0 12 2.5 9.5 9.5 0 0 0 2.5 12Zm9.5 2a2 2 0 1 1-.001-3.999A2 2 0 0 1 12 14Z"></path> </svg> <div> <div class="color-fg-default h4">Issues</div> Plan and track work </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description pb-lg-3" data-analytics-event="{"location":"navbar","action":"code_review","context":"product","tag":"link","label":"code_review_link_product_navbar"}" href="https://github.com/features/code-review"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-review color-fg-subtle mr-3"> <path d="M10.3 6.74a.75.75 0 0 1-.04 1.06l-2.908 2.7 2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M1.5 4.25c0-.966.784-1.75 1.75-1.75h17.5c.966 0 1.75.784 1.75 1.75v12.5a1.75 1.75 0 0 1-1.75 1.75h-9.69l-3.573 3.573A1.458 1.458 0 0 1 5 21.043V18.5H3.25a1.75 1.75 0 0 1-1.75-1.75ZM3.25 4a.25.25 0 0 0-.25.25v12.5c0 .138.112.25.25.25h2.5a.75.75 0 0 1 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.53-.22h6.5a.25.25 0 0 0 .25-.25v-9.5a.25.25 0 0 0-.25-.25H1.75a.25.25 0 0 0-.25.25Z"></path><path d="M22.5 8.75a.25.25 0 0 0-.25-.25h-3.5a.75.75 0 0 1 0-1.5h3.5c.966 0 1.75.784 1.75 1.75v9.5A1.75 1.75 0 0 1 22.25 20H21v1.543a1.457 1.457 0 0 1-2.487 1.03L15.939 20H10.75A1.75 1.75 0 0 1 9 18.25v-1.465a.75.75 0 0 1 1.5 0v1.465c0 .138.112.25.25.25h5.5a.75.75 0 0 1 .53.22l2.72 2.72v-2.19a.75.75 0 0 1 .75-.75h2a.25.25 0 0 0 .25-.25v-9.5Z"></path> </svg> <div> <div class="color-fg-default h4">Discussions</div> Collaborate outside of code </div> </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary d-flex flex-items-center Link--has-description" data-analytics-event="{"location":"navbar","action":"code_search","context":"product","tag":"link","label":"code_search_link_product_navbar"}" href="https://github.com/features/code-search"> <svg aria-hidden="true" height="24" viewBox="0 0 24 24" version="1.1" width="24" data-view-component="true" class="octicon octicon-code-square color-fg-subtle mr-3"> <path d="M10.3 8.24a.75.75 0 0 1-.04 1.06L7.352 12l2.908 2.7a.75.75 0 1 1-1.02 1.1l-3.5-3.25a.75.75 0 0 1 0-1.1l3.5-3.25a.75.75 0 0 1 1.06.04Zm3.44 1.06a.75.75 0 1 1 1.02-1.1l3.5 3.25a.75.75 0 0 1 0 1.1l-3.5 3.25a.75.75 0 1 1-1.02-1.1l2.908-2.7-2.908-2.7Z"></path><path d="M2 3.75C2 2.784 2.784 2 3.75 2h16.5c.966 0 1.75.784 1.75 1.75v16.5A1.75 1.75 0 0 1 20.25 22H3.75A1.75 1.75 0 0 1 2 20.25Zm1.75-.25a.25.25 0 0 0-.25.25v16.5c0 .138.112.25.25.25h16.5a.25.25 0 0 0 .25-.25V3.75a.25.25 0 0 0-.25-.25Z"></path> </svg> <div> <div class="color-fg-default h4">Code Search</div> Find more, search less </div> </a></li> </ul> </div> </div> <div class="HeaderMenu-column px-lg-4"> <div class="border-bottom pb-3 pb-lg-0 border-lg-bottom-0 border-bottom-0"> <span class="d-block h4 color-fg-default my-1" id="product-explore-heading">Explore</span> <ul class="list-style-none f5" aria-labelledby="product-explore-heading"> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary" data-analytics-event="{"location":"navbar","action":"all_features","context":"product","tag":"link","label":"all_features_link_product_navbar"}" href="https://github.com/features"> All features </a></li> <li> <a class="HeaderMenu-dropdown-link d-block no-underline position-relative py-2 Link--secondary Link--external" target="_blank" data-analytics-event="{"location":"navbar","action":"documentation","context":"product","tag":"link","label":"documentation_link_product_navbar"}" href="https://docs.github.com"> Documentation <svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-link-external HeaderMenu-external-icon color-fg-subtle"> <path d="M3.75 2h3.5a.75.75 0 0 1 0 1.5h-3.5a.25.25 0 0 0-.25.25v8.5c0 .138.112.25.25.25h8.5a.25.25 0 0 0 .25-.25v-3.5a.75.75 0 0 1 1.5 0v3.5A1.75 1.75 0 0 1 12.25 14h-8.5A1.75 1.75 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2.093.584.235 1.077.546 1.474.952.85.869 1.132 2.037 1.132 3.368 0 .368-.014.733-.052 1.086.23.462.477 1.088.644 1.517 1.258.364 2.233 1.721 2.605 2.656a.832.832 0 0 1 .053.22v2.869a.641.641 0 0 1-.078.256ZM12.172 11h-.344a4.323 4.323 0 0 1-.355.508C10.703 12.455 9.555 13 7.965 13c-1.725 0-2.989-.359-3.782-1.259a2.005 2.005 0 0 1-.085-.104L4 11.741v6.585c1.435.779 4.514 2.179 8 2.179 3.486 0 6.565-1.4 8-2.179v-6.585l-.098-.104s-.033.045-.085.104c-.793.9-2.057 1.259-3.782 1.259-1.59 0-2.738-.545-3.508-1.492a4.323 4.323 0 0 1-.355-.508h-.016.016Zm.641-2.935c.136 1.057.403 1.913.878 2.497.442.544 1.134.938 2.344.938 1.573 0 2.292-.337 2.657-.751.384-.435.558-1.15.558-2.361 0-1.14-.243-1.847-.705-2.319-.477-.488-1.319-.862-2.824-1.025-1.487-.161-2.192.138-2.533.529-.269.307-.437.808-.438 1.578v.021c0 .265.021.562.063.893Zm-1.626 0c.042-.331.063-.628.063-.894v-.02c-.001-.77-.169-1.271-.438-1.578-.341-.391-1.046-.69-2.533-.529-1.505.163-2.347.537-2.824 1.025-.462.472-.705 1.179-.705 2.319 0 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src=\"/bbfamily/abu/raw/master/img/head.png\" alt=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e索引\u003c/h3\u003e\u003ca id=\"user-content-索引\" class=\"anchor\" aria-label=\"Permalink: 索引\" href=\"#索引\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003e内容\u003c/th\u003e\n\u003cth\u003e位置\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003e阿布量化系统源代码\u003c/td\u003e\n\u003ctd\u003eabupy目录\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e阿布量化使用教程\u003c/td\u003e\n\u003ctd\u003eabupy_lecture目录\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e阿布量化非编程界面操作\u003c/td\u003e\n\u003ctd\u003eabupy_ui目录\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e《量化交易之路》示例代码\u003c/td\u003e\n\u003ctd\u003eipython／python目录\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003e《机器学习之路》示例代码\u003c/td\u003e\n\u003ctd\u003e\u003ca href=\"https://github.com/maxmon/abu_ml\"\u003ehttps://github.com/maxmon/abu_ml\u003c/a\u003e\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e🏆 \u003ca href=\"https://www.abuquant.com\" rel=\"nofollow\"\u003e览器访问网址: https://www.abuquant.com\u003c/a\u003e\u003c/h3\u003e\u003ca id=\"user-content--览器访问网址-httpswwwabuquantcom\" class=\"anchor\" aria-label=\"Permalink: 🏆 览器访问网址: https://www.abuquant.com\" href=\"#-览器访问网址-httpswwwabuquantcom\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🇨🇳 \u003ca href=\"https://www.abuquant.com/cn1/cn_symbol_list.html\" rel=\"nofollow\"\u003e沪深市场量化示例分析列表:\u003c/a\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e🇨🇳 \u003ca href=\"https://www.abuquant.com/abu_context/output_cn_week1/report/sh000001/index.html\" rel=\"nofollow\"\u003e上证指数周报示例量化分析:\u003c/a\u003e\u003c/li\u003e\n\u003cli\u003e🇨🇳 \u003ca href=\"https://www.abuquant.com/abu_context/output_cn_day1/report/sh000001/index.html\" rel=\"nofollow\"\u003e上证指数日报示例量化分析:\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🇺🇸 \u003ca href=\"https://www.abuquant.com/us1/us_symbol_list.html\" rel=\"nofollow\"\u003e美股市场量化示例分析列表:\u003c/a\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e🇺🇸 \u003ca href=\"https://www.abuquant.com/abu_context/output_us_week1/report/usBABA/index.html\" rel=\"nofollow\"\u003e阿里巴巴-量化研究报告:\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🚩 \u003ca href=\"https://www.abuquant.com/hk1/hk_symbol_list.html\" rel=\"nofollow\"\u003e港股市场量化示例分析列表:\u003c/a\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e🚩 \u003ca href=\"https://www.abuquant.com/abu_context/output_hk_week1/report/hk01810/index.html\" rel=\"nofollow\"\u003e小米集团-量化研究报告:\u003c/a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e📡 \u003ca href=\"https://www.abuquant.com/find_itl.html\" rel=\"nofollow\"\u003e特征交织信号策略:\u003c/a\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e📐\u003ca href=\"https://www.abuquant.com/itl_feature1/pattern_90triangle_up_up_break_symbol_list.html\" rel=\"nofollow\"\u003e上升三角整理向上突破:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🌊\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_5wr_c_revert_symbol_list.html\" rel=\"nofollow\"\u003e波浪理论回调浪c点:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e✂️\u003ca href=\"https://www.abuquant.com/itl_feature1/trend_breakthrough_risk_symbol_list.html\" rel=\"nofollow\"\u003e升趋势向下破位风险:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🐶\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_cypher_xabc_predict_symbol_list.html\" rel=\"nofollow\"\u003ec点将上涨到d点完成降赛福:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e☯\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_right_tangle_three_symbol_list.html\" rel=\"nofollow\"\u003e缠论中继❸买向上:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🚩\u003ca href=\"https://www.abuquant.com/itl_feature1/pattern_wedge_dn_break_symbol_list.html\" rel=\"nofollow\"\u003e降楔型整理向上突破:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🦇\u003ca href=\"https://www.abuquant.com/itl_feature1/up_bat_abcd_regular_symbol_list.html\" rel=\"nofollow\"\u003e蝙蝠到达升蝙蝠d点:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e☯️\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_right_tangle_two_symbol_list.html\" rel=\"nofollow\"\u003e缠论中继❷买向上:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🌊\u003ca href=\"https://www.abuquant.com/itl_feature1/up_5wr_c_revert_symbol_list.html\" rel=\"nofollow\"\u003e波浪理论回调浪反转:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e⚔️\u003ca href=\"https://www.abuquant.com/itl_feature1/trend_breakthrough_chance_symbol_list.html\" rel=\"nofollow\"\u003e趋势线突破机会:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e☯️\u003ca href=\"https://www.abuquant.com/itl_feature1/up_right_tangle_three_symbol_list.html\" rel=\"nofollow\"\u003e缠论中继❸卖向下:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🐶\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_cypher_xabc_predict_symbol_list.html\" rel=\"nofollow\"\u003e降赛福d点完成:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e▴▲▴\u003ca href=\"https://www.abuquant.com/itl_feature1/trend_support_encounter_dn_symbol_list.html\" rel=\"nofollow\"\u003e头肩顶向下突破:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e✂️\u003ca href=\"https://www.abuquant.com/itl_feature1/pattern_head_top_break_symbol_list.html\" rel=\"nofollow\"\u003e升趋势强支撑破位可能:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🌊\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_5wr_b_pos_symbol_list.html\" rel=\"nofollow\"\u003e上涨回调浪中继b:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🦊\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_gartley_abcd_predict_symbol_list.html\" rel=\"nofollow\"\u003e降伽利d点完成:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e☯️\u003ca href=\"https://www.abuquant.com/itl_feature1/up_right_tangle_two_symbol_list.html\" rel=\"nofollow\"\u003e缠论中继❷卖向下:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e✂️\u003ca href=\"https://www.abuquant.com/itl_feature1/pattern_head_top_break_symbol_list.html\" rel=\"nofollow\"\u003e升趋势强支撑破位可能:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e❐\u003ca href=\"https://www.abuquant.com/itl_feature1/pattern_rect_dn_up_target_symbol_list.html\" rel=\"nofollow\"\u003e下跌矩形达成下跌目标:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🌊\u003ca href=\"https://www.abuquant.com/itl_feature1/up_5wr_c_regular_symbol_list.html\" rel=\"nofollow\"\u003e波浪理论下跌中继c:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🦀️\u003ca href=\"https://www.abuquant.com/itl_feature1/up_crab_abcd_predict_symbol_list.html\" rel=\"nofollow\"\u003e升螃蟹d点完成:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e⚑\u003ca href=\"https://www.abuquant.com/itl_feature1/pattern_flag_dn_break_symbol_list.html\" rel=\"nofollow\"\u003e降旗形整理向上突破:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e☯\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_lr_tg_one_symbol_list.html\" rel=\"nofollow\"\u003e缠论反转❶买向上:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🌊\u003ca href=\"https://www.abuquant.com/itl_feature1/dn_5wr_c_regular_symbol_list.html\" rel=\"nofollow\"\u003e波浪理论上涨中继c:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🦇\u003ca href=\"https://www.abuquant.com/itl_feature1/up_bat_hm_t3_symbol_list.html\" rel=\"nofollow\"\u003e升蝙蝠第3反弹目标:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🚩\u003ca href=\"https://www.abuquant.com/itl_feature1/pattern_wedge_up_target_symbol_list.html\" rel=\"nofollow\"\u003e升楔型达成整理下跌目标:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e☯\u003ca href=\"https://www.abuquant.com/itl_feature1/up_left_ds_large_tg_one_symbol_list.html\" rel=\"nofollow\"\u003e缠论中枢b刚完成:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e🅚\u003ca href=\"https://www.abuquant.com/find_kc.html\" rel=\"nofollow\"\u003eK线复合信号策略:\u003c/a\u003e\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.abuquant.com/kc_feature1/up_pinbar_symbol_list.html\" rel=\"nofollow\"\u003e上涨Pinbar组合:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.abuquant.com/kc_feature1/dn_down_pour_symbol_list.html\" rel=\"nofollow\"\u003e倾盆大雨:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.abuquant.com/kc_feature1/up_pinbar_symbol_list.html\" rel=\"nofollow\"\u003e上涨Pinbar组合:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.abuquant.com/kc_feature1/up_lp_5yang_symbol_list.html\" rel=\"nofollow\"\u003e低档五阳线:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.abuquant.com/kc_feature1/up_pregnant_6m_symbol_list.html\" rel=\"nofollow\"\u003e上涨身怀六甲:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://www.abuquant.com/kc_feature1/up_1needle_symbol_list.html\" rel=\"nofollow\"\u003e定海神针:\u003c/a\u003e\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003c/li\u003e\n\u003c/ol\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e特点\u003c/h3\u003e\u003ca id=\"user-content-特点\" class=\"anchor\" aria-label=\"Permalink: 特点\" href=\"#特点\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e使用多种机器学习技术智能优化策略\u003c/li\u003e\n\u003cli\u003e在实盘中指导策略进行交易，提高策略的实盘效果，战胜市场\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e支持的投资市场:\u003c/h3\u003e\u003ca id=\"user-content-支持的投资市场\" class=\"anchor\" aria-label=\"Permalink: 支持的投资市场:\" href=\"#支持的投资市场\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e美股，A股，港股\u003c/li\u003e\n\u003cli\u003e期货，期权\u003c/li\u003e\n\u003cli\u003e比特币，莱特币\u003c/li\u003e\n\u003c/ul\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e工程设计目标：\u003c/h3\u003e\u003ca id=\"user-content-工程设计目标\" class=\"anchor\" aria-label=\"Permalink: 工程设计目标：\" href=\"#工程设计目标\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e分离基础策略和策略优化监督模块\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e提高灵活度和适配性\u003c/p\u003e\n\u003c/li\u003e\n\u003cli\u003e\n\u003cp dir=\"auto\"\u003e量化系统\u003c/p\u003e\n\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e阿布量化综合AI大数据系统, K线形态系统, 缠论，波浪理论，谐波理论，突破，整理形态分析（头肩形态，三头，三角，旗形，楔形，矩形），\n经典指标系统, 走势趋势分析系统, 时间序列维度系统, 统计概率系统, 传统均线系统对投资品种进行深度量化分析, 彻底跨越用户复杂的代码量化阶段, 更适合普通人群使用, 迈向量化2.0时代.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e量化模型\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e上述系统中结合上百种子量化模型, 如: 金融时间序列损耗模型, 深度形态质量评估模型, 多空形态组合评定模型, 多头形态止损策略模型, 空头形态回补策略模型, 大数据K线形态历史组合拟合模型, 交易持仓心态模型, 多巴胺量化模型, 惯性残存阻力支撑模型, 多空互换报复概率模型, 强弱对抗模型, 趋势角度变化率模型, 联动分析模型, 时间序列的过激反应模型, 迟钝报复反应模型, 趋势启动速度模型, 配对对冲模型等.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003eAI量化\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e阿布量化针对AI人工智能从底层开发算法, 构建适合量化体系的人工智能AI系统, 训练了数个从不同角度识别量化特征的评分模型，整体上分为三个系别：物理模型组、多巴胺生物模型组、量化形态模型组。不同系别模型群从不同角度(主要物理交易实体分析、人群心理、图表等三个方向)评估走势，系别的模型群是由若干个独有的识别算法和参数遗传淘汰，组成族群，加权投票评分.\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e量化策略\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e阿布量化结合了传统基于代码策的量化系统, 对未来择时信号发出时机的预判, 系统基于数百种简单种子交易策略，衍生出更多的量化交易策略新策略在这些种子基础上不断自我学习、自我成长，不断分裂，适者生存，淘汰选择机制下繁衍，目前应用的量化买入卖出信号策略共计18496种。\u003c/p\u003e\n\u003cul dir=\"auto\"\u003e\n\u003cli\u003e量化应用\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp dir=\"auto\"\u003e阿布量化结合多种量化分析数据构建了数百种量化应用,\n如: AI高能预警, AI高光时刻, 智能预测涨跌幅, 下跌五浪量化, 上涨五浪量化, 缠论，波浪理论，谐波理论，突破，整理形态分析（头肩形态，三头，三角，旗形，楔形，矩形），\n阻力支撑强度分析, 上升三角形突破, 下降三角形, 三重底 (头肩底), 三重顶 (头肩顶), 圆弧顶, 圆弧底, 乌云盖顶形态, 上升三部曲形态, 好友反攻形态, 单针探底形态, 射击之星形态, 多方炮形态, 上涨镊子线, 向上突破箱体, 跳空突破缺口, 黄金分割线量化, 趋势跟踪信号, 均值回复信号, 止损风险控制量化, 止盈利润保护量化, 综合指标分析等.\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e安装\u003c/h2\u003e\u003ca id=\"user-content-安装\" class=\"anchor\" aria-label=\"Permalink: 安装\" href=\"#安装\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e部署\u003c/h3\u003e\u003ca id=\"user-content-部署\" class=\"anchor\" aria-label=\"Permalink: 部署\" href=\"#部署\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e推荐使用Anaconda部署Python环境，详见 \u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/0-abupy%E9%87%8F%E5%8C%96%E7%8E%AF%E5%A2%83%E9%83%A8%E7%BD%B2(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e量化环境部署\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e测试\u003c/h3\u003e\u003ca id=\"user-content-测试\" class=\"anchor\" aria-label=\"Permalink: 测试\" href=\"#测试\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"highlight highlight-source-python notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"import abupy\"\u003e\u003cpre\u003e\u003cspan class=\"pl-k\"\u003eimport\u003c/span\u003e \u003cspan class=\"pl-s1\"\u003eabupy\u003c/span\u003e\u003c/pre\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch2 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e使用文档\u003c/h2\u003e\u003ca id=\"user-content-使用文档\" class=\"anchor\" aria-label=\"Permalink: 使用文档\" href=\"#使用文档\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e1：择时策略的开发\u003c/h3\u003e\u003ca id=\"user-content-1择时策略的开发\" class=\"anchor\" aria-label=\"Permalink: 1：择时策略的开发\" href=\"#1择时策略的开发\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://v.qq.com/x/page/g0555b9k6ge.html\" rel=\"nofollow\"\u003e第一节界面操作教程视频播放地址\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e择时策略决定什么时候买入投资品，回测告诉我们这种策略在历史数据中的模拟收益如何。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e买入择时因子的编写\u003c/li\u003e\n\u003cli\u003e分解模式一步一步对策略进行回测\u003c/li\u003e\n\u003cli\u003e卖出择时因子的实现\u003c/li\u003e\n\u003c/ol\u003e\n\u003cblockquote\u003e\n\u003cp dir=\"auto\"\u003e在对的时间，遇见对的人(股票)，是一种幸福\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e在对的时间，遇见错的人(股票)，是一种悲伤\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e在错的时间，遇见对的人(股票)，是一声叹息\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e在错的时间，遇见错的人(股票)，是一种无奈\u003c/p\u003e\n\u003c/blockquote\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/1-%E6%8B%A9%E6%97%B6%E7%AD%96%E7%95%A5%E7%9A%84%E5%BC%80%E5%8F%91(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e2: 择时策略的优化\u003c/h3\u003e\u003ca id=\"user-content-2-择时策略的优化\" class=\"anchor\" aria-label=\"Permalink: 2: 择时策略的优化\" href=\"#2-择时策略的优化\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e通过止盈止损保护策略产生的利润，控制风险。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e基本止盈止损策略\u003c/li\u003e\n\u003cli\u003e风险控制止损策略\u003c/li\u003e\n\u003cli\u003e利润保护止盈策略\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/bbfamily/abu/blob/master/img/img1.png\"\u003e\u003cimg src=\"/bbfamily/abu/raw/master/img/img1.png\" alt=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/2-%E6%8B%A9%E6%97%B6%E7%AD%96%E7%95%A5%E7%9A%84%E4%BC%98%E5%8C%96(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e3: 滑点策略与交易手续费\u003c/h3\u003e\u003ca id=\"user-content-3-滑点策略与交易手续费\" class=\"anchor\" aria-label=\"Permalink: 3: 滑点策略与交易手续费\" href=\"#3-滑点策略与交易手续费\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e考虑应用交易策略时产生的成交价格偏差及手续费。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e滑点买入卖出价格确定及策略实现\u003c/li\u003e\n\u003cli\u003e交易手续费的计算以及自定义手续费\u003c/li\u003e\n\u003c/ol\u003e\n\u003cmarkdown-accessiblity-table\u003e\u003ctable\u003e\n\u003cthead\u003e\n\u003ctr\u003e\n\u003cth\u003etype\u003c/th\u003e\n\u003cth\u003edate\u003c/th\u003e\n\u003cth\u003esymbol\u003c/th\u003e\n\u003cth\u003ecommission\u003c/th\u003e\n\u003c/tr\u003e\n\u003c/thead\u003e\n\u003ctbody\u003e\n\u003ctr\u003e\n\u003ctd\u003ebuy\u003c/td\u003e\n\u003ctd\u003e20150423\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e8.22\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ebuy\u003c/td\u003e\n\u003ctd\u003e20150428\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e7.53\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003esell\u003c/td\u003e\n\u003ctd\u003e20150622\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e8.22\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ebuy\u003c/td\u003e\n\u003ctd\u003e20150624\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e7.53\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003esell\u003c/td\u003e\n\u003ctd\u003e20150706\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e7.53\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003esell\u003c/td\u003e\n\u003ctd\u003e20150708\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e7.53\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ebuy\u003c/td\u003e\n\u003ctd\u003e20151230\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e7.22\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003esell\u003c/td\u003e\n\u003ctd\u003e20160105\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e7.22\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ebuy\u003c/td\u003e\n\u003ctd\u003e20160315\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e5.57\u003c/td\u003e\n\u003c/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003esell\u003c/td\u003e\n\u003ctd\u003e20160429\u003c/td\u003e\n\u003ctd\u003eusTSLA\u003c/td\u003e\n\u003ctd\u003e5.57\u003c/td\u003e\n\u003c/tr\u003e\n\u003c/tbody\u003e\n\u003c/table\u003e\u003c/markdown-accessiblity-table\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/3-%E6%BB%91%E7%82%B9%E7%AD%96%E7%95%A5%E4%B8%8E%E4%BA%A4%E6%98%93%E6%89%8B%E7%BB%AD%E8%B4%B9(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e4: 多支股票择时回测与仓位管理\u003c/h3\u003e\u003ca id=\"user-content-4-多支股票择时回测与仓位管理\" class=\"anchor\" aria-label=\"Permalink: 4: 多支股票择时回测与仓位管理\" href=\"#4-多支股票择时回测与仓位管理\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e针对多支股票实现择时策略，通过仓位管理策略控制风险。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e多支股票使用相同的因子进行择时\u003c/li\u003e\n\u003cli\u003e自定义仓位管理策略的实现\u003c/li\u003e\n\u003cli\u003e多支股票使用不同的因子进行择时\u003c/li\u003e\n\u003cli\u003e使用并行来提升择时运行效率\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/bbfamily/abu/blob/master/img/img3.png\"\u003e\u003cimg src=\"/bbfamily/abu/raw/master/img/img3.png\" alt=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/4-%E5%A4%9A%E6%94%AF%E8%82%A1%E7%A5%A8%E6%8B%A9%E6%97%B6%E5%9B%9E%E6%B5%8B%E4%B8%8E%E4%BB%93%E4%BD%8D%E7%AE%A1%E7%90%86(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e5: 选股策略的开发\u003c/h3\u003e\u003ca id=\"user-content-5-选股策略的开发\" class=\"anchor\" aria-label=\"Permalink: 5: 选股策略的开发\" href=\"#5-选股策略的开发\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e一个好的策略需要一个好的标的。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e选股因子的编写\u003c/li\u003e\n\u003cli\u003e多个选股因子并行执行\u003c/li\u003e\n\u003cli\u003e使用并行来提升选股运行效率\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/5-%E9%80%89%E8%82%A1%E7%AD%96%E7%95%A5%E7%9A%84%E5%BC%80%E5%8F%91(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e6: 回测结果的度量\u003c/h3\u003e\u003ca id=\"user-content-6-回测结果的度量\" class=\"anchor\" aria-label=\"Permalink: 6: 回测结果的度量\" href=\"#6-回测结果的度量\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e正确的度量引领着正确的前进方向。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e度量的基本使用方法\u003c/li\u003e\n\u003cli\u003e度量的可视化\u003c/li\u003e\n\u003cli\u003e扩展自定义度量类\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/6-%E5%9B%9E%E6%B5%8B%E7%BB%93%E6%9E%9C%E7%9A%84%E5%BA%A6%E9%87%8F(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e7: 寻找策略最优参数和评分\u003c/h3\u003e\u003ca id=\"user-content-7-寻找策略最优参数和评分\" class=\"anchor\" aria-label=\"Permalink: 7: 寻找策略最优参数和评分\" href=\"#7-寻找策略最优参数和评分\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e通过定制的评分机制，寻找一个策略最合理的参数，比如：应该考虑多少天的均线？\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e参数取值范围\u003c/li\u003e\n\u003cli\u003eGrid Search寻找最优参数\u003c/li\u003e\n\u003cli\u003e度量结果的评分\u003c/li\u003e\n\u003cli\u003e不同权重的评分\u003c/li\u003e\n\u003cli\u003e自定义评分类的实现\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/7-%E5%AF%BB%E6%89%BE%E7%AD%96%E7%95%A5%E6%9C%80%E4%BC%98%E5%8F%82%E6%95%B0%E5%92%8C%E8%AF%84%E5%88%86(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e8: A股市场的回测\u003c/h3\u003e\u003ca id=\"user-content-8-a股市场的回测\" class=\"anchor\" aria-label=\"Permalink: 8: A股市场的回测\" href=\"#8-a股市场的回测\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003eA股市场的回测示例\u003c/li\u003e\n\u003cli\u003e涨跌停的特殊处理\u003c/li\u003e\n\u003cli\u003e对多组交易结果进行分析\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/8-A%E8%82%A1%E5%B8%82%E5%9C%BA%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e9: 港股市场的回测\u003c/h3\u003e\u003ca id=\"user-content-9-港股市场的回测\" class=\"anchor\" aria-label=\"Permalink: 9: 港股市场的回测\" href=\"#9-港股市场的回测\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e港股市场的回测示例\u003c/li\u003e\n\u003cli\u003e优化策略，提高系统的稳定性\u003c/li\u003e\n\u003cli\u003e将优化策略的'策略'做为类装饰器进行封装\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/9-%E6%B8%AF%E8%82%A1%E5%B8%82%E5%9C%BA%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e10: 比特币, 莱特币的回测\u003c/h3\u003e\u003ca id=\"user-content-10-比特币-莱特币的回测\" class=\"anchor\" aria-label=\"Permalink: 10: 比特币, 莱特币的回测\" href=\"#10-比特币-莱特币的回测\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e比特币, 莱特币的走势数据分析\u003c/li\u003e\n\u003cli\u003e比特币, 莱特币的走势可视化分析\u003c/li\u003e\n\u003cli\u003e比特币，莱特币市场的回测\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/10-%E6%AF%94%E7%89%B9%E5%B8%81%E8%8E%B1%E7%89%B9%E5%B8%81%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e11: 期货市场的回测\u003c/h3\u003e\u003ca id=\"user-content-11-期货市场的回测\" class=\"anchor\" aria-label=\"Permalink: 11: 期货市场的回测\" href=\"#11-期货市场的回测\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e期货市场的特点\u003c/li\u003e\n\u003cli\u003e看涨合约的回测\u003c/li\u003e\n\u003cli\u003e看跌合约的回测\u003c/li\u003e\n\u003cli\u003e位移路程比优化策略\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/11-%E6%9C%9F%E8%B4%A7%E5%B8%82%E5%9C%BA%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e12: 机器学习与比特币示例\u003c/h3\u003e\u003ca id=\"user-content-12-机器学习与比特币示例\" class=\"anchor\" aria-label=\"Permalink: 12: 机器学习与比特币示例\" href=\"#12-机器学习与比特币示例\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e如何在投资品的量化交易中正确使用机器学习技术？\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e比特币特征的提取\u003c/li\u003e\n\u003cli\u003eabu中内置机器学习模块的使用\u003c/li\u003e\n\u003cli\u003e测试集的验证与非均衡技术\u003c/li\u003e\n\u003cli\u003e继承AbuMLPd对数据处理进行封装\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/12-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B8%8E%E6%AF%94%E7%89%B9%E5%B8%81%E7%A4%BA%E4%BE%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e13: 量化技术分析应用\u003c/h3\u003e\u003ca id=\"user-content-13-量化技术分析应用\" class=\"anchor\" aria-label=\"Permalink: 13: 量化技术分析应用\" href=\"#13-量化技术分析应用\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e技术分析三大假设：市场行为涵盖一切；价格沿趋势移动；历史会重演。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e阻力线，支撑线自动绘制\u003c/li\u003e\n\u003cli\u003e跳空技术分析\u003c/li\u003e\n\u003cli\u003e传统技术指标技术分析\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/13-%E9%87%8F%E5%8C%96%E6%8A%80%E6%9C%AF%E5%88%86%E6%9E%90%E5%BA%94%E7%94%A8(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e14: 量化相关性分析应用\u003c/h3\u003e\u003ca id=\"user-content-14-量化相关性分析应用\" class=\"anchor\" aria-label=\"Permalink: 14: 量化相关性分析应用\" href=\"#14-量化相关性分析应用\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e相似的投资品数据的背后，往往是相似行为模式的投资人群。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e相关相似度的度量\u003c/li\u003e\n\u003cli\u003e距离的度量与相似度\u003c/li\u003e\n\u003cli\u003e相似相关接口的应用\u003c/li\u003e\n\u003cli\u003e自然相关性\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/14-%E9%87%8F%E5%8C%96%E7%9B%B8%E5%85%B3%E6%80%A7%E5%88%86%E6%9E%90%E5%BA%94%E7%94%A8(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e15: 量化交易和搜索引擎\u003c/h3\u003e\u003ca id=\"user-content-15-量化交易和搜索引擎\" class=\"anchor\" aria-label=\"Permalink: 15: 量化交易和搜索引擎\" href=\"#15-量化交易和搜索引擎\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e搜索策略生成的失败交易，由裁判拦截住冲动的交易者。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e切分训练集交易的回测\u003c/li\u003e\n\u003cli\u003e对交易进行人工分析\u003c/li\u003e\n\u003cli\u003e主裁系统原理\u003c/li\u003e\n\u003cli\u003e角度主裁\u003c/li\u003e\n\u003cli\u003e赋予宏观上合理的解释\u003c/li\u003e\n\u003cli\u003e最优分类簇筛选\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/bbfamily/abu/blob/master/img/img13.png\"\u003e\u003cimg src=\"/bbfamily/abu/raw/master/img/img13.png\" alt=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/15-%E9%87%8F%E5%8C%96%E4%BA%A4%E6%98%93%E5%92%8C%E6%90%9C%E7%B4%A2%E5%BC%95%E6%93%8E(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003e19: 数据源\u003c/h3\u003e\u003ca id=\"user-content-19-数据源\" class=\"anchor\" aria-label=\"Permalink: 19: 数据源\" href=\"#19-数据源\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003eabu支持股票、期货、数字货币等多种金融投资品的行情和交易，并具有高度可定制性。\u003c/p\u003e\n\u003col dir=\"auto\"\u003e\n\u003cli\u003e数据模式的切换\u003c/li\u003e\n\u003cli\u003e数据存储的切换\u003c/li\u003e\n\u003cli\u003e数据源的切换\u003c/li\u003e\n\u003cli\u003e全市场数据的更新\u003c/li\u003e\n\u003cli\u003e接入外部数据源，股票数据源\u003c/li\u003e\n\u003cli\u003e接入外部数据源，期货数据源\u003c/li\u003e\n\u003cli\u003e接入外部数据源，比特币，莱特币数据源\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"https://github.com/bbfamily/abu/blob/master/abupy_lecture/19-%E6%95%B0%E6%8D%AE%E6%BA%90(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb\"\u003e详细阅读\u003c/a\u003e\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e关注阿布量化微信公众号: abu_quant\u003c/p\u003e\n\u003cp dir=\"auto\"\u003e\u003ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"/bbfamily/abu/blob/master/img/qrcode.jpg\"\u003e\u003cimg src=\"/bbfamily/abu/raw/master/img/qrcode.jpg\" alt=\"\" style=\"max-width: 100%;\"\u003e\u003c/a\u003e\u003c/p\u003e\n\u003cdiv class=\"markdown-heading\" dir=\"auto\"\u003e\u003ch3 tabindex=\"-1\" class=\"heading-element\" dir=\"auto\"\u003eLicense\u003c/h3\u003e\u003ca id=\"user-content-license\" class=\"anchor\" aria-label=\"Permalink: License\" href=\"#license\"\u003e\u003csvg class=\"octicon octicon-link\" viewBox=\"0 0 16 16\" version=\"1.1\" width=\"16\" height=\"16\" aria-hidden=\"true\"\u003e\u003cpath d=\"m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z\"\u003e\u003c/path\u003e\u003c/svg\u003e\u003c/a\u003e\u003c/div\u003e\n\u003cp dir=\"auto\"\u003e\u003ca href=\"/bbfamily/abu/blob/master/LICENSE\"\u003eGPL\u003c/a\u003e\u003c/p\u003e\n\u003c/article\u003e","loaded":true,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":[{"level":3,"text":"索引","anchor":"索引","htmlText":"索引"},{"level":3,"text":"🏆 览器访问网址: https://www.abuquant.com","anchor":"-览器访问网址-httpswwwabuquantcom","htmlText":"🏆 览器访问网址: https://www.abuquant.com"},{"level":3,"text":"特点","anchor":"特点","htmlText":"特点"},{"level":3,"text":"支持的投资市场:","anchor":"支持的投资市场","htmlText":"支持的投资市场:"},{"level":3,"text":"工程设计目标：","anchor":"工程设计目标","htmlText":"工程设计目标："},{"level":2,"text":"安装","anchor":"安装","htmlText":"安装"},{"level":3,"text":"部署","anchor":"部署","htmlText":"部署"},{"level":3,"text":"测试","anchor":"测试","htmlText":"测试"},{"level":2,"text":"使用文档","anchor":"使用文档","htmlText":"使用文档"},{"level":3,"text":"1：择时策略的开发","anchor":"1择时策略的开发","htmlText":"1：择时策略的开发"},{"level":3,"text":"2: 择时策略的优化","anchor":"2-择时策略的优化","htmlText":"2: 择时策略的优化"},{"level":3,"text":"3: 滑点策略与交易手续费","anchor":"3-滑点策略与交易手续费","htmlText":"3: 滑点策略与交易手续费"},{"level":3,"text":"4: 多支股票择时回测与仓位管理","anchor":"4-多支股票择时回测与仓位管理","htmlText":"4: 多支股票择时回测与仓位管理"},{"level":3,"text":"5: 选股策略的开发","anchor":"5-选股策略的开发","htmlText":"5: 选股策略的开发"},{"level":3,"text":"6: 回测结果的度量","anchor":"6-回测结果的度量","htmlText":"6: 回测结果的度量"},{"level":3,"text":"7: 寻找策略最优参数和评分","anchor":"7-寻找策略最优参数和评分","htmlText":"7: 寻找策略最优参数和评分"},{"level":3,"text":"8: A股市场的回测","anchor":"8-a股市场的回测","htmlText":"8: A股市场的回测"},{"level":3,"text":"9: 港股市场的回测","anchor":"9-港股市场的回测","htmlText":"9: 港股市场的回测"},{"level":3,"text":"10: 比特币, 莱特币的回测","anchor":"10-比特币-莱特币的回测","htmlText":"10: 比特币, 莱特币的回测"},{"level":3,"text":"11: 期货市场的回测","anchor":"11-期货市场的回测","htmlText":"11: 期货市场的回测"},{"level":3,"text":"12: 机器学习与比特币示例","anchor":"12-机器学习与比特币示例","htmlText":"12: 机器学习与比特币示例"},{"level":3,"text":"13: 量化技术分析应用","anchor":"13-量化技术分析应用","htmlText":"13: 量化技术分析应用"},{"level":3,"text":"14: 量化相关性分析应用","anchor":"14-量化相关性分析应用","htmlText":"14: 量化相关性分析应用"},{"level":3,"text":"15: 量化交易和搜索引擎","anchor":"15-量化交易和搜索引擎","htmlText":"15: 量化交易和搜索引擎"},{"level":3,"text":"19: 数据源","anchor":"19-数据源","htmlText":"19: 数据源"},{"level":3,"text":"License","anchor":"license","htmlText":"License"}],"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fbbfamily%2Fabu"}},{"displayName":"LICENSE","repoName":"abu","refName":"master","path":"LICENSE","preferredFileType":"license","tabName":"GPL-3.0","richText":null,"loaded":false,"timedOut":false,"errorMessage":null,"headerInfo":{"toc":null,"siteNavLoginPath":"/login?return_to=https%3A%2F%2Fgithub.com%2Fbbfamily%2Fabu"}}],"overviewFilesProcessingTime":0}},"appPayload":{"helpUrl":"https://docs.github.com","findFileWorkerPath":"/assets-cdn/worker/find-file-worker-7d7eb7c71814.js","findInFileWorkerPath":"/assets-cdn/worker/find-in-file-worker-96e76d5fdb2c.js","githubDevUrl":null,"enabled_features":{"copilot_workspace":null,"code_nav_ui_events":false,"overview_shared_code_dropdown_button":false,"react_blob_overlay":false,"accessible_code_button":true,"github_models_repo_integration":false}}}}</script> <div data-target="react-partial.reactRoot"><style 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fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="m11.28 3.22 4.25 4.25a.75.75 0 0 1 0 1.06l-4.25 4.25a.749.749 0 0 1-1.275-.326.749.749 0 0 1 .215-.734L13.94 8l-3.72-3.72a.749.749 0 0 1 .326-1.275.749.749 0 0 1 .734.215Zm-6.56 0a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042L2.06 8l3.72 3.72a.749.749 0 0 1-.326 1.275.749.749 0 0 1-.734-.215L.47 8.53a.75.75 0 0 1 0-1.06Z"></path></svg></span><span data-component="text" class="prc-Button-Label-pTQ3x">Code</span><span data-component="trailingVisual" class="prc-Button-Visual-2epfX prc-Button-VisualWrap-Db-eB"><svg aria-hidden="true" focusable="false" class="octicon octicon-triangle-down" viewBox="0 0 16 16" width="16" height="16" fill="currentColor" display="inline-block" overflow="visible" style="vertical-align:text-bottom"><path d="m4.427 7.427 3.396 3.396a.25.25 0 0 0 .354 0l3.396-3.396A.25.25 0 0 0 11.396 7H4.604a.25.25 0 0 0-.177.427Z"></path></svg></span></span></button><div 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data-hotkey="k"></button><h2 class="sr-only ScreenReaderHeading-module__userSelectNone--vW4Cq prc-Heading-Heading-6CmGO" data-testid="screen-reader-heading" id="folders-and-files">Folders and files</h2><table aria-labelledby="folders-and-files" class="Box-sc-g0xbh4-0 fdROMU"><thead class="Box-sc-g0xbh4-0 jGKpsv"><tr class="Box-sc-g0xbh4-0 jdgHnn"><th colSpan="2" class="Box-sc-g0xbh4-0 bQivRW"><span class="text-bold">Name</span></th><th colSpan="1" class="Box-sc-g0xbh4-0 ldkMIO"><span class="text-bold">Name</span></th><th class="hide-sm"><div title="Last commit message" class="Truncate__StyledTruncate-sc-23o1d2-0 liVpTx width-fit"><span class="text-bold">Last commit message</span></div></th><th colSpan="1" class="Box-sc-g0xbh4-0 jMbWeI"><div title="Last commit date" class="Truncate__StyledTruncate-sc-23o1d2-0 liVpTx width-fit"><span class="text-bold">Last commit date</span></div></th></tr></thead><tbody><tr class="Box-sc-g0xbh4-0 gpqjiB"><td colSpan="3" class="bgColor-muted p-1 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aria-label="Permalink: 索引" href="#索引"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <markdown-accessiblity-table><table> <thead> <tr> <th>内容</th> <th>位置</th> </tr> </thead> <tbody> <tr> <td>阿布量化系统源代码</td> <td>abupy目录</td> </tr> <tr> <td>阿布量化使用教程</td> <td>abupy_lecture目录</td> </tr> <tr> <td>阿布量化非编程界面操作</td> <td>abupy_ui目录</td> </tr> <tr> <td>《量化交易之路》示例代码</td> <td>ipython／python目录</td> </tr> <tr> <td>《机器学习之路》示例代码</td> <td><a href="https://github.com/maxmon/abu_ml">https://github.com/maxmon/abu_ml</a></td> </tr> </tbody> </table></markdown-accessiblity-table> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">🏆 <a href="https://www.abuquant.com" rel="nofollow">览器访问网址: https://www.abuquant.com</a></h3><a id="user-content--览器访问网址-httpswwwabuquantcom" class="anchor" aria-label="Permalink: 🏆 览器访问网址: https://www.abuquant.com" href="#-览器访问网址-httpswwwabuquantcom"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li> <p dir="auto">🇨🇳 <a href="https://www.abuquant.com/cn1/cn_symbol_list.html" rel="nofollow">沪深市场量化示例分析列表:</a></p> <ul dir="auto"> <li>🇨🇳 <a href="https://www.abuquant.com/abu_context/output_cn_week1/report/sh000001/index.html" rel="nofollow">上证指数周报示例量化分析:</a></li> <li>🇨🇳 <a href="https://www.abuquant.com/abu_context/output_cn_day1/report/sh000001/index.html" rel="nofollow">上证指数日报示例量化分析:</a></li> </ul> </li> <li> <p dir="auto">🇺🇸 <a href="https://www.abuquant.com/us1/us_symbol_list.html" rel="nofollow">美股市场量化示例分析列表:</a></p> <ul dir="auto"> <li>🇺🇸 <a href="https://www.abuquant.com/abu_context/output_us_week1/report/usBABA/index.html" rel="nofollow">阿里巴巴-量化研究报告:</a></li> </ul> </li> <li> <p dir="auto">🚩 <a href="https://www.abuquant.com/hk1/hk_symbol_list.html" rel="nofollow">港股市场量化示例分析列表:</a></p> <ul dir="auto"> <li>🚩 <a href="https://www.abuquant.com/abu_context/output_hk_week1/report/hk01810/index.html" rel="nofollow">小米集团-量化研究报告:</a></li> </ul> </li> <li> <p dir="auto">📡 <a href="https://www.abuquant.com/find_itl.html" rel="nofollow">特征交织信号策略:</a></p> <ul dir="auto"> <li> <p dir="auto">📐<a href="https://www.abuquant.com/itl_feature1/pattern_90triangle_up_up_break_symbol_list.html" rel="nofollow">上升三角整理向上突破:</a></p> </li> <li> <p dir="auto">🌊<a href="https://www.abuquant.com/itl_feature1/dn_5wr_c_revert_symbol_list.html" rel="nofollow">波浪理论回调浪c点:</a></p> </li> <li> <p dir="auto">✂️<a href="https://www.abuquant.com/itl_feature1/trend_breakthrough_risk_symbol_list.html" rel="nofollow">升趋势向下破位风险:</a></p> </li> <li> <p dir="auto">🐶<a href="https://www.abuquant.com/itl_feature1/dn_cypher_xabc_predict_symbol_list.html" rel="nofollow">c点将上涨到d点完成降赛福:</a></p> </li> <li> <p dir="auto">☯<a href="https://www.abuquant.com/itl_feature1/dn_right_tangle_three_symbol_list.html" rel="nofollow">缠论中继❸买向上:</a></p> </li> <li> <p dir="auto">🚩<a href="https://www.abuquant.com/itl_feature1/pattern_wedge_dn_break_symbol_list.html" rel="nofollow">降楔型整理向上突破:</a></p> </li> <li> <p dir="auto">🦇<a href="https://www.abuquant.com/itl_feature1/up_bat_abcd_regular_symbol_list.html" rel="nofollow">蝙蝠到达升蝙蝠d点:</a></p> </li> <li> <p dir="auto">☯️<a href="https://www.abuquant.com/itl_feature1/dn_right_tangle_two_symbol_list.html" rel="nofollow">缠论中继❷买向上:</a></p> </li> <li> <p dir="auto">🌊<a href="https://www.abuquant.com/itl_feature1/up_5wr_c_revert_symbol_list.html" rel="nofollow">波浪理论回调浪反转:</a></p> </li> <li> <p dir="auto">⚔️<a href="https://www.abuquant.com/itl_feature1/trend_breakthrough_chance_symbol_list.html" rel="nofollow">趋势线突破机会:</a></p> </li> <li> <p dir="auto">☯️<a href="https://www.abuquant.com/itl_feature1/up_right_tangle_three_symbol_list.html" rel="nofollow">缠论中继❸卖向下:</a></p> </li> <li> <p dir="auto">🐶<a href="https://www.abuquant.com/itl_feature1/dn_cypher_xabc_predict_symbol_list.html" rel="nofollow">降赛福d点完成:</a></p> </li> <li> <p dir="auto">▴▲▴<a href="https://www.abuquant.com/itl_feature1/trend_support_encounter_dn_symbol_list.html" rel="nofollow">头肩顶向下突破:</a></p> </li> <li> <p dir="auto">✂️<a href="https://www.abuquant.com/itl_feature1/pattern_head_top_break_symbol_list.html" rel="nofollow">升趋势强支撑破位可能:</a></p> </li> <li> <p dir="auto">🌊<a href="https://www.abuquant.com/itl_feature1/dn_5wr_b_pos_symbol_list.html" rel="nofollow">上涨回调浪中继b:</a></p> </li> <li> <p dir="auto">🦊<a href="https://www.abuquant.com/itl_feature1/dn_gartley_abcd_predict_symbol_list.html" rel="nofollow">降伽利d点完成:</a></p> </li> <li> <p dir="auto">☯️<a href="https://www.abuquant.com/itl_feature1/up_right_tangle_two_symbol_list.html" rel="nofollow">缠论中继❷卖向下:</a></p> </li> <li> <p dir="auto">✂️<a href="https://www.abuquant.com/itl_feature1/pattern_head_top_break_symbol_list.html" rel="nofollow">升趋势强支撑破位可能:</a></p> </li> <li> <p dir="auto">❐<a href="https://www.abuquant.com/itl_feature1/pattern_rect_dn_up_target_symbol_list.html" rel="nofollow">下跌矩形达成下跌目标:</a></p> </li> <li> <p dir="auto">🌊<a href="https://www.abuquant.com/itl_feature1/up_5wr_c_regular_symbol_list.html" rel="nofollow">波浪理论下跌中继c:</a></p> </li> <li> <p dir="auto">🦀️<a href="https://www.abuquant.com/itl_feature1/up_crab_abcd_predict_symbol_list.html" rel="nofollow">升螃蟹d点完成:</a></p> </li> <li> <p dir="auto">⚑<a href="https://www.abuquant.com/itl_feature1/pattern_flag_dn_break_symbol_list.html" rel="nofollow">降旗形整理向上突破:</a></p> </li> <li> <p dir="auto">☯<a href="https://www.abuquant.com/itl_feature1/dn_lr_tg_one_symbol_list.html" rel="nofollow">缠论反转❶买向上:</a></p> </li> <li> <p dir="auto">🌊<a href="https://www.abuquant.com/itl_feature1/dn_5wr_c_regular_symbol_list.html" rel="nofollow">波浪理论上涨中继c:</a></p> </li> <li> <p dir="auto">🦇<a href="https://www.abuquant.com/itl_feature1/up_bat_hm_t3_symbol_list.html" rel="nofollow">升蝙蝠第3反弹目标:</a></p> </li> <li> <p dir="auto">🚩<a href="https://www.abuquant.com/itl_feature1/pattern_wedge_up_target_symbol_list.html" rel="nofollow">升楔型达成整理下跌目标:</a></p> </li> <li> <p dir="auto">☯<a href="https://www.abuquant.com/itl_feature1/up_left_ds_large_tg_one_symbol_list.html" rel="nofollow">缠论中枢b刚完成:</a></p> </li> </ul> </li> <li> <p dir="auto">🅚<a href="https://www.abuquant.com/find_kc.html" rel="nofollow">K线复合信号策略:</a></p> <ul dir="auto"> <li> <p dir="auto"><a href="https://www.abuquant.com/kc_feature1/up_pinbar_symbol_list.html" rel="nofollow">上涨Pinbar组合:</a></p> </li> <li> <p dir="auto"><a href="https://www.abuquant.com/kc_feature1/dn_down_pour_symbol_list.html" rel="nofollow">倾盆大雨:</a></p> </li> <li> <p dir="auto"><a href="https://www.abuquant.com/kc_feature1/up_pinbar_symbol_list.html" rel="nofollow">上涨Pinbar组合:</a></p> </li> <li> <p dir="auto"><a href="https://www.abuquant.com/kc_feature1/up_lp_5yang_symbol_list.html" rel="nofollow">低档五阳线:</a></p> </li> <li> <p dir="auto"><a href="https://www.abuquant.com/kc_feature1/up_pregnant_6m_symbol_list.html" rel="nofollow">上涨身怀六甲:</a></p> </li> <li> <p dir="auto"><a href="https://www.abuquant.com/kc_feature1/up_1needle_symbol_list.html" rel="nofollow">定海神针:</a></p> </li> </ul> </li> </ol> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">特点</h3><a id="user-content-特点" class="anchor" aria-label="Permalink: 特点" href="#特点"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li>使用多种机器学习技术智能优化策略</li> <li>在实盘中指导策略进行交易，提高策略的实盘效果，战胜市场</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">支持的投资市场:</h3><a id="user-content-支持的投资市场" class="anchor" aria-label="Permalink: 支持的投资市场:" href="#支持的投资市场"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li>美股，A股，港股</li> <li>期货，期权</li> <li>比特币，莱特币</li> </ul> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">工程设计目标：</h3><a id="user-content-工程设计目标" class="anchor" aria-label="Permalink: 工程设计目标：" href="#工程设计目标"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ul dir="auto"> <li> <p dir="auto">分离基础策略和策略优化监督模块</p> </li> <li> <p dir="auto">提高灵活度和适配性</p> </li> <li> <p dir="auto">量化系统</p> </li> </ul> <p dir="auto">阿布量化综合AI大数据系统, K线形态系统, 缠论，波浪理论，谐波理论，突破，整理形态分析（头肩形态，三头，三角，旗形，楔形，矩形）， 经典指标系统, 走势趋势分析系统, 时间序列维度系统, 统计概率系统, 传统均线系统对投资品种进行深度量化分析, 彻底跨越用户复杂的代码量化阶段, 更适合普通人群使用, 迈向量化2.0时代.</p> <ul dir="auto"> <li>量化模型</li> </ul> <p dir="auto">上述系统中结合上百种子量化模型, 如: 金融时间序列损耗模型, 深度形态质量评估模型, 多空形态组合评定模型, 多头形态止损策略模型, 空头形态回补策略模型, 大数据K线形态历史组合拟合模型, 交易持仓心态模型, 多巴胺量化模型, 惯性残存阻力支撑模型, 多空互换报复概率模型, 强弱对抗模型, 趋势角度变化率模型, 联动分析模型, 时间序列的过激反应模型, 迟钝报复反应模型, 趋势启动速度模型, 配对对冲模型等.</p> <ul dir="auto"> <li>AI量化</li> </ul> <p dir="auto">阿布量化针对AI人工智能从底层开发算法, 构建适合量化体系的人工智能AI系统, 训练了数个从不同角度识别量化特征的评分模型，整体上分为三个系别：物理模型组、多巴胺生物模型组、量化形态模型组。不同系别模型群从不同角度(主要物理交易实体分析、人群心理、图表等三个方向)评估走势，系别的模型群是由若干个独有的识别算法和参数遗传淘汰，组成族群，加权投票评分.</p> <ul dir="auto"> <li>量化策略</li> </ul> <p dir="auto">阿布量化结合了传统基于代码策的量化系统, 对未来择时信号发出时机的预判, 系统基于数百种简单种子交易策略，衍生出更多的量化交易策略新策略在这些种子基础上不断自我学习、自我成长，不断分裂，适者生存，淘汰选择机制下繁衍，目前应用的量化买入卖出信号策略共计18496种。</p> <ul dir="auto"> <li>量化应用</li> </ul> <p dir="auto">阿布量化结合多种量化分析数据构建了数百种量化应用, 如: AI高能预警, AI高光时刻, 智能预测涨跌幅, 下跌五浪量化, 上涨五浪量化, 缠论，波浪理论，谐波理论，突破，整理形态分析（头肩形态，三头，三角，旗形，楔形，矩形）， 阻力支撑强度分析, 上升三角形突破, 下降三角形, 三重底 (头肩底), 三重顶 (头肩顶), 圆弧顶, 圆弧底, 乌云盖顶形态, 上升三部曲形态, 好友反攻形态, 单针探底形态, 射击之星形态, 多方炮形态, 上涨镊子线, 向上突破箱体, 跳空突破缺口, 黄金分割线量化, 趋势跟踪信号, 均值回复信号, 止损风险控制量化, 止盈利润保护量化, 综合指标分析等.</p> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">安装</h2><a id="user-content-安装" class="anchor" aria-label="Permalink: 安装" href="#安装"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">部署</h3><a id="user-content-部署" class="anchor" aria-label="Permalink: 部署" href="#部署"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">推荐使用Anaconda部署Python环境，详见 <a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/0-abupy%E9%87%8F%E5%8C%96%E7%8E%AF%E5%A2%83%E9%83%A8%E7%BD%B2(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">量化环境部署</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">测试</h3><a id="user-content-测试" class="anchor" aria-label="Permalink: 测试" href="#测试"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="highlight highlight-source-python notranslate position-relative overflow-auto" dir="auto" data-snippet-clipboard-copy-content="import abupy"><pre><span class="pl-k">import</span> <span class="pl-s1">abupy</span></pre></div> <div class="markdown-heading" dir="auto"><h2 tabindex="-1" class="heading-element" dir="auto">使用文档</h2><a id="user-content-使用文档" class="anchor" aria-label="Permalink: 使用文档" href="#使用文档"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">1：择时策略的开发</h3><a id="user-content-1择时策略的开发" class="anchor" aria-label="Permalink: 1：择时策略的开发" href="#1择时策略的开发"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto"><a href="https://v.qq.com/x/page/g0555b9k6ge.html" rel="nofollow">第一节界面操作教程视频播放地址</a></p> <p dir="auto">择时策略决定什么时候买入投资品，回测告诉我们这种策略在历史数据中的模拟收益如何。</p> <ol dir="auto"> <li>买入择时因子的编写</li> <li>分解模式一步一步对策略进行回测</li> <li>卖出择时因子的实现</li> </ol> <blockquote> <p dir="auto">在对的时间，遇见对的人(股票)，是一种幸福</p> <p dir="auto">在对的时间，遇见错的人(股票)，是一种悲伤</p> <p dir="auto">在错的时间，遇见对的人(股票)，是一声叹息</p> <p dir="auto">在错的时间，遇见错的人(股票)，是一种无奈</p> </blockquote> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/1-%E6%8B%A9%E6%97%B6%E7%AD%96%E7%95%A5%E7%9A%84%E5%BC%80%E5%8F%91(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">2: 择时策略的优化</h3><a id="user-content-2-择时策略的优化" class="anchor" aria-label="Permalink: 2: 择时策略的优化" href="#2-择时策略的优化"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">通过止盈止损保护策略产生的利润，控制风险。</p> <ol dir="auto"> <li>基本止盈止损策略</li> <li>风险控制止损策略</li> <li>利润保护止盈策略</li> </ol> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/bbfamily/abu/blob/master/img/img1.png"><img src="/bbfamily/abu/raw/master/img/img1.png" alt="" style="max-width: 100%;"></a></p> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/2-%E6%8B%A9%E6%97%B6%E7%AD%96%E7%95%A5%E7%9A%84%E4%BC%98%E5%8C%96(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">3: 滑点策略与交易手续费</h3><a id="user-content-3-滑点策略与交易手续费" class="anchor" aria-label="Permalink: 3: 滑点策略与交易手续费" href="#3-滑点策略与交易手续费"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">考虑应用交易策略时产生的成交价格偏差及手续费。</p> <ol dir="auto"> <li>滑点买入卖出价格确定及策略实现</li> <li>交易手续费的计算以及自定义手续费</li> </ol> <markdown-accessiblity-table><table> <thead> <tr> <th>type</th> <th>date</th> <th>symbol</th> <th>commission</th> </tr> </thead> <tbody> <tr> <td>buy</td> <td>20150423</td> <td>usTSLA</td> <td>8.22</td> </tr> <tr> <td>buy</td> <td>20150428</td> <td>usTSLA</td> <td>7.53</td> </tr> <tr> <td>sell</td> <td>20150622</td> <td>usTSLA</td> <td>8.22</td> </tr> <tr> <td>buy</td> <td>20150624</td> <td>usTSLA</td> <td>7.53</td> </tr> <tr> <td>sell</td> <td>20150706</td> <td>usTSLA</td> <td>7.53</td> </tr> <tr> <td>sell</td> <td>20150708</td> <td>usTSLA</td> <td>7.53</td> </tr> <tr> <td>buy</td> <td>20151230</td> <td>usTSLA</td> <td>7.22</td> </tr> <tr> <td>sell</td> <td>20160105</td> <td>usTSLA</td> <td>7.22</td> </tr> <tr> <td>buy</td> <td>20160315</td> <td>usTSLA</td> <td>5.57</td> </tr> <tr> <td>sell</td> <td>20160429</td> <td>usTSLA</td> <td>5.57</td> </tr> </tbody> </table></markdown-accessiblity-table> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/3-%E6%BB%91%E7%82%B9%E7%AD%96%E7%95%A5%E4%B8%8E%E4%BA%A4%E6%98%93%E6%89%8B%E7%BB%AD%E8%B4%B9(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">4: 多支股票择时回测与仓位管理</h3><a id="user-content-4-多支股票择时回测与仓位管理" class="anchor" aria-label="Permalink: 4: 多支股票择时回测与仓位管理" href="#4-多支股票择时回测与仓位管理"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">针对多支股票实现择时策略，通过仓位管理策略控制风险。</p> <ol dir="auto"> <li>多支股票使用相同的因子进行择时</li> <li>自定义仓位管理策略的实现</li> <li>多支股票使用不同的因子进行择时</li> <li>使用并行来提升择时运行效率</li> </ol> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/bbfamily/abu/blob/master/img/img3.png"><img src="/bbfamily/abu/raw/master/img/img3.png" alt="" style="max-width: 100%;"></a></p> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/4-%E5%A4%9A%E6%94%AF%E8%82%A1%E7%A5%A8%E6%8B%A9%E6%97%B6%E5%9B%9E%E6%B5%8B%E4%B8%8E%E4%BB%93%E4%BD%8D%E7%AE%A1%E7%90%86(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">5: 选股策略的开发</h3><a id="user-content-5-选股策略的开发" class="anchor" aria-label="Permalink: 5: 选股策略的开发" href="#5-选股策略的开发"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">一个好的策略需要一个好的标的。</p> <ol dir="auto"> <li>选股因子的编写</li> <li>多个选股因子并行执行</li> <li>使用并行来提升选股运行效率</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/5-%E9%80%89%E8%82%A1%E7%AD%96%E7%95%A5%E7%9A%84%E5%BC%80%E5%8F%91(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">6: 回测结果的度量</h3><a id="user-content-6-回测结果的度量" class="anchor" aria-label="Permalink: 6: 回测结果的度量" href="#6-回测结果的度量"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">正确的度量引领着正确的前进方向。</p> <ol dir="auto"> <li>度量的基本使用方法</li> <li>度量的可视化</li> <li>扩展自定义度量类</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/6-%E5%9B%9E%E6%B5%8B%E7%BB%93%E6%9E%9C%E7%9A%84%E5%BA%A6%E9%87%8F(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">7: 寻找策略最优参数和评分</h3><a id="user-content-7-寻找策略最优参数和评分" class="anchor" aria-label="Permalink: 7: 寻找策略最优参数和评分" href="#7-寻找策略最优参数和评分"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">通过定制的评分机制，寻找一个策略最合理的参数，比如：应该考虑多少天的均线？</p> <ol dir="auto"> <li>参数取值范围</li> <li>Grid Search寻找最优参数</li> <li>度量结果的评分</li> <li>不同权重的评分</li> <li>自定义评分类的实现</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/7-%E5%AF%BB%E6%89%BE%E7%AD%96%E7%95%A5%E6%9C%80%E4%BC%98%E5%8F%82%E6%95%B0%E5%92%8C%E8%AF%84%E5%88%86(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">8: A股市场的回测</h3><a id="user-content-8-a股市场的回测" class="anchor" aria-label="Permalink: 8: A股市场的回测" href="#8-a股市场的回测"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li>A股市场的回测示例</li> <li>涨跌停的特殊处理</li> <li>对多组交易结果进行分析</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/8-A%E8%82%A1%E5%B8%82%E5%9C%BA%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">9: 港股市场的回测</h3><a id="user-content-9-港股市场的回测" class="anchor" aria-label="Permalink: 9: 港股市场的回测" href="#9-港股市场的回测"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li>港股市场的回测示例</li> <li>优化策略，提高系统的稳定性</li> <li>将优化策略的'策略'做为类装饰器进行封装</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/9-%E6%B8%AF%E8%82%A1%E5%B8%82%E5%9C%BA%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">10: 比特币, 莱特币的回测</h3><a id="user-content-10-比特币-莱特币的回测" class="anchor" aria-label="Permalink: 10: 比特币, 莱特币的回测" href="#10-比特币-莱特币的回测"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li>比特币, 莱特币的走势数据分析</li> <li>比特币, 莱特币的走势可视化分析</li> <li>比特币，莱特币市场的回测</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/10-%E6%AF%94%E7%89%B9%E5%B8%81%E8%8E%B1%E7%89%B9%E5%B8%81%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">11: 期货市场的回测</h3><a id="user-content-11-期货市场的回测" class="anchor" aria-label="Permalink: 11: 期货市场的回测" href="#11-期货市场的回测"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <ol dir="auto"> <li>期货市场的特点</li> <li>看涨合约的回测</li> <li>看跌合约的回测</li> <li>位移路程比优化策略</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/11-%E6%9C%9F%E8%B4%A7%E5%B8%82%E5%9C%BA%E7%9A%84%E5%9B%9E%E6%B5%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">12: 机器学习与比特币示例</h3><a id="user-content-12-机器学习与比特币示例" class="anchor" aria-label="Permalink: 12: 机器学习与比特币示例" href="#12-机器学习与比特币示例"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">如何在投资品的量化交易中正确使用机器学习技术？</p> <ol dir="auto"> <li>比特币特征的提取</li> <li>abu中内置机器学习模块的使用</li> <li>测试集的验证与非均衡技术</li> <li>继承AbuMLPd对数据处理进行封装</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/12-%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E4%B8%8E%E6%AF%94%E7%89%B9%E5%B8%81%E7%A4%BA%E4%BE%8B(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">13: 量化技术分析应用</h3><a id="user-content-13-量化技术分析应用" class="anchor" aria-label="Permalink: 13: 量化技术分析应用" href="#13-量化技术分析应用"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">技术分析三大假设：市场行为涵盖一切；价格沿趋势移动；历史会重演。</p> <ol dir="auto"> <li>阻力线，支撑线自动绘制</li> <li>跳空技术分析</li> <li>传统技术指标技术分析</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/13-%E9%87%8F%E5%8C%96%E6%8A%80%E6%9C%AF%E5%88%86%E6%9E%90%E5%BA%94%E7%94%A8(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">14: 量化相关性分析应用</h3><a id="user-content-14-量化相关性分析应用" class="anchor" aria-label="Permalink: 14: 量化相关性分析应用" href="#14-量化相关性分析应用"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">相似的投资品数据的背后，往往是相似行为模式的投资人群。</p> <ol dir="auto"> <li>相关相似度的度量</li> <li>距离的度量与相似度</li> <li>相似相关接口的应用</li> <li>自然相关性</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/14-%E9%87%8F%E5%8C%96%E7%9B%B8%E5%85%B3%E6%80%A7%E5%88%86%E6%9E%90%E5%BA%94%E7%94%A8(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">15: 量化交易和搜索引擎</h3><a id="user-content-15-量化交易和搜索引擎" class="anchor" aria-label="Permalink: 15: 量化交易和搜索引擎" href="#15-量化交易和搜索引擎"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">搜索策略生成的失败交易，由裁判拦截住冲动的交易者。</p> <ol dir="auto"> <li>切分训练集交易的回测</li> <li>对交易进行人工分析</li> <li>主裁系统原理</li> <li>角度主裁</li> <li>赋予宏观上合理的解释</li> <li>最优分类簇筛选</li> </ol> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/bbfamily/abu/blob/master/img/img13.png"><img src="/bbfamily/abu/raw/master/img/img13.png" alt="" style="max-width: 100%;"></a></p> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/15-%E9%87%8F%E5%8C%96%E4%BA%A4%E6%98%93%E5%92%8C%E6%90%9C%E7%B4%A2%E5%BC%95%E6%93%8E(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">19: 数据源</h3><a id="user-content-19-数据源" class="anchor" aria-label="Permalink: 19: 数据源" href="#19-数据源"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 1.998 0 0 0 2.83 0l1.25-1.25a.751.751 0 0 1 1.042.018.751.751 0 0 1 .018 1.042l-1.25 1.25a3.5 3.5 0 1 1-4.95-4.95l2.5-2.5a3.5 3.5 0 0 1 4.95 0 .751.751 0 0 1-.018 1.042.751.751 0 0 1-1.042.018 1.998 1.998 0 0 0-2.83 0l-2.5 2.5a1.998 1.998 0 0 0 0 2.83Z"></path></svg></a></div> <p dir="auto">abu支持股票、期货、数字货币等多种金融投资品的行情和交易，并具有高度可定制性。</p> <ol dir="auto"> <li>数据模式的切换</li> <li>数据存储的切换</li> <li>数据源的切换</li> <li>全市场数据的更新</li> <li>接入外部数据源，股票数据源</li> <li>接入外部数据源，期货数据源</li> <li>接入外部数据源，比特币，莱特币数据源</li> </ol> <p dir="auto"><a href="https://github.com/bbfamily/abu/blob/master/abupy_lecture/19-%E6%95%B0%E6%8D%AE%E6%BA%90(ABU%E9%87%8F%E5%8C%96%E4%BD%BF%E7%94%A8%E6%96%87%E6%A1%A3).ipynb">详细阅读</a></p> <p dir="auto">关注阿布量化微信公众号: abu_quant</p> <p dir="auto"><a target="_blank" rel="noopener noreferrer" href="/bbfamily/abu/blob/master/img/qrcode.jpg"><img src="/bbfamily/abu/raw/master/img/qrcode.jpg" alt="" style="max-width: 100%;"></a></p> <div class="markdown-heading" dir="auto"><h3 tabindex="-1" class="heading-element" dir="auto">License</h3><a id="user-content-license" class="anchor" aria-label="Permalink: License" href="#license"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path d="m7.775 3.275 1.25-1.25a3.5 3.5 0 1 1 4.95 4.95l-2.5 2.5a3.5 3.5 0 0 1-4.95 0 .751.751 0 0 1 .018-1.042.751.751 0 0 1 1.042-.018 1.998 1.998 0 0 0 2.83 0l2.5-2.5a2.002 2.002 0 0 0-2.83-2.83l-1.25 1.25a.751.751 0 0 1-1.042-.018.751.751 0 0 1-.018-1.042Zm-4.69 9.64a1.998 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4.21.612a.75.75 0 0 1 .416 1.279l-3.046 2.97.719 4.192a.751.751 0 0 1-1.088.791L8 12.347l-3.766 1.98a.75.75 0 0 1-1.088-.79l.72-4.194L.818 6.374a.75.75 0 0 1 .416-1.28l4.21-.611L7.327.668A.75.75 0 0 1 8 .25Zm0 2.445L6.615 5.5a.75.75 0 0 1-.564.41l-3.097.45 2.24 2.184a.75.75 0 0 1 .216.664l-.528 3.084 2.769-1.456a.75.75 0 0 1 .698 0l2.77 1.456-.53-3.084a.75.75 0 0 1 .216-.664l2.24-2.183-3.096-.45a.75.75 0 0 1-.564-.41L8 2.694Z"></path> </svg> <strong>13.3k</strong> stars</a> </div> <h3 class="sr-only">Watchers</h3> <div class="mt-2"> <a href="/bbfamily/abu/watchers" data-view-component="true" class="Link Link--muted"><svg aria-hidden="true" height="16" viewBox="0 0 16 16" version="1.1" width="16" data-view-component="true" class="octicon octicon-eye mr-2"> <path d="M8 2c1.981 0 3.671.992 4.933 2.078 1.27 1.091 2.187 2.345 2.637 3.023a1.62 1.62 0 0 1 0 1.798c-.45.678-1.367 1.932-2.637 3.023C11.67 13.008 9.981 14 8 14c-1.981 0-3.671-.992-4.933-2.078C1.797 10.83.88 9.576.43 8.898a1.62 1.62 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