<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>HTDBouw &#187; Fxtrading Helper Tier 1</title>
	<atom:link href="http://htdbouw.nl/category/fxtrading-helper-tier-1/feed/" rel="self" type="application/rss+xml" />
	<link>http://htdbouw.nl</link>
	<description>Timmer- en Dakwerken</description>
	<lastBuildDate>Wed, 15 Apr 2026 14:46:20 +0000</lastBuildDate>
	<language>nl-NL</language>
	<sy:updatePeriod>hourly</sy:updatePeriod>
	<sy:updateFrequency>1</sy:updateFrequency>
	<generator>http://wordpress.org/?v=3.5.1</generator>
		<item>
		<title>Меня Терзают Смутные Сомнения  А Стоит Ли Так Торговать Трейдеру</title>
		<link>http://htdbouw.nl/fxtrading-helper-tier-1/menja-terzajut-smutnye-somnenija-a-stoit-li-tak-torgovat-trejderu/</link>
		<comments>http://htdbouw.nl/fxtrading-helper-tier-1/menja-terzajut-smutnye-somnenija-a-stoit-li-tak-torgovat-trejderu/#comments</comments>
		<pubDate>Sat, 06 Nov 2021 00:46:11 +0000</pubDate>
		<dc:creator>Martin</dc:creator>
				<category><![CDATA[Fxtrading Helper Tier 1]]></category>

		<guid isPermaLink="false">http://htdbouw.nl/?p=2472</guid>
		<description><![CDATA[<p>Содержание Кластерный Анализ Онлайн: Торговые Платформы И Индикаторы Индикаторы +276,82% За 12 Мес: Тест Стратегии Форекс «gold Swim» Для Xau +284,22% За 12 Мес: Тест Стратегии Форекс «mamba Trend» Для Gbp Для большинства это тоска зеленая и меланхолия. Заморозить ср-ва для спекулянта, значит потерять возможности, которые рынок дает каждый день. В прочем не торговать в определенные, непонятные дни, это тоже&#160;<a href="http://htdbouw.nl/fxtrading-helper-tier-1/menja-terzajut-smutnye-somnenija-a-stoit-li-tak-torgovat-trejderu/" class="read-more">Continue Reading</a></p><p>The post <a href="http://htdbouw.nl/fxtrading-helper-tier-1/menja-terzajut-smutnye-somnenija-a-stoit-li-tak-torgovat-trejderu/">Меня Терзают Смутные Сомнения  А Стоит Ли Так Торговать Трейдеру</a> appeared first on <a href="http://htdbouw.nl">HTDBouw</a>.</p>]]></description>
				<content:encoded><![CDATA[<div id="toc" style="background: #f9f9f9;border: 1px solid #aaa;display: table;margin-bottom: 1em;padding: 1em;width: 350px;">
<p class="toctitle" style="font-weight: 700;text-align: center;">Содержание</p>
<ul class="toc_list">
<li><a href="#toc-0">Кластерный Анализ Онлайн: Торговые Платформы И Индикаторы</a></li>
<li><a href="#toc-1">Индикаторы</a></li>
<li><a href="#toc-2">+276,82% За 12 Мес: Тест Стратегии Форекс «gold Swim» Для Xau</a></li>
<li><a href="#toc-3">+284,22% За 12 Мес: Тест Стратегии Форекс «mamba Trend» Для Gbp</a></li>
</ul>
</div>
<p>Для большинства это тоска зеленая и меланхолия. Заморозить ср-ва для спекулянта, значит потерять возможности, которые рынок дает каждый день. В прочем не торговать в определенные, непонятные дни, это тоже возможность. Перейдем к графикам комметировать тут нечего — сделки по 1-2к в основном и заморозка ГО. Обращаем внимание на распределение ликвидности в этом инструменте — в разрезе физики-юрики — лонг-шорт (покупки-продажи) на текущий момент.</p>
<p>Информация на рынке изменилась, дискреционный трейдер, тоже должен поменять свои взгляды на сделку и торговлю в целом, если он этого не сделает, то скорее всего понесет убыток. Чтобы подтвердить сигнал, следующий бар должен быть вниз, и так обычно и происходит, если в контексте рынка – на предыдущих барах – видна слабость. Сигнал NO DEMAND переводится как «нет спроса», что уже проясняет причины его появления.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAMCAgICAgMCAgIDAwMDBAYEBAQEBAgGBgUGCQgKCgkICQkKDA8MCgsOCwkJDRENDg8QEBEQCgwSExIQEw8QEBD/2wBDAQMDAwQDBAgEBAgQCwkLEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBD/wAARCAEXAXQDASIAAhEBAxEB/8QAHQAAAQQDAQEAAAAAAAAAAAAAAAMEBwgCBQYBCf/EAGIQAAECBQMCBAIFBggGCg4LAAECAwAEBQYRBxIhCDETIkFRFGEJFTJxgRYjQpGhwRckM1JisdHSGCU00+HwNUNjZXJ0gpWysxkmJ1NUVWRzdZKUosLxKDc4RoOEhpOjpLT/xAAbAQEAAwEBAQEAAAAAAAAAAAAAAQIDBAUHBv/EAD8RAAIBAwIDBAcHAgQGAwAAAAABAgMEEQUSITFBBhNRYRQicZGS0eEVMlKBobHSQlQzcqLBFiM1U7LxNESC/9oADAMBAAIRAxEAPwD5VQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQYPtBABBBgnsIMHGcGACCDBxnEG1QOCk5+6ACCDB9oCCODABBBBg+xgAggwfYwd+0AEEGCPQwQAQQYPbEGDjODiACCDae+DxBg+xgAggwTwAYMHGcQAQQYPtBg98QAQQYI7iDB9oAIIMHviDBxnBxABBBg8cHntBgk4AOYAIIMH2gwR3EAEEGD7QYPsYAIIMH2ggAggwfaDB9jABBBgwYPtABBBg98QQAQQYJ7CCACCCCACCCCACCCCAJo0c6Z7q19vZqwNPZuQYqi5R6cU5VZssy6WmkhSipaW1EcHjIiW2Po0dTcnxtXtG1D02Xogf1sx0v0d5dc6hpxvLq0iz64Dubwn/J/fk5inlNG16XT4PiqBxtCckk/IwBa2T+jOvdx9Dc3q9pNtUoDDN6tlR+X+T+2Y6h36LGuKbHgaq2MFKOEKN0tKSr2wAwD+2KyUeVfp1VlZ9ykLdSy6FrbLBAIz24Gf2xJN1T0wlhFYSt7DCU+A20pX5pI5wkDkH594DKJFmPoxa5LPoRM6q6dtNjIeUu8mUqScHsDLD1wO/v3jXzP0a1eTMvpk9VtMHGPFX4K136yhRb/AECoCVICvU845xx3ivF5/lTP1Bm6kyE7LJqYWpPhuqWvxEqAUVJHmRnIxu7g55hSkSVIaRSpmv05+bE5NKbnG2zNJVJMhaBvcQlsBe5O8gIWTwQdpxkRknVX0al9FafD1b0l8PuR+XDZP35+Hgf+jQvkNKEvrFpHv2eULvNvAX8z4PaIbdrdt25XZly39MKPXZZLwXLO1GWqSmgjAGzwVvJ3JyCT4gJOSPs8RqKdfV4Ud+SatiyqHTH5KZS+xNot9l2YDuSAVPTCVqKcKwUk7OASnIzAZJ0b+jU1ESsF3VvR9aMDITe6Ac45wTLmNjKfRkX07ITT7+qulpc2lUr4V5tqaO0jfvV4AIASc5GfTjmK3XbUb4uqrOTN0OTVSmWSpIeTKpSgblFSgnw0hJG4q7DHtxiNfIyLzDijPW1NTjZQtIbKXWxkjhWUYPHBx8oDJY2Y+jO1QYVtd1a0eSojdtN5pBAPb/aIE/RoamA//XDo1t7E/lmn/MRCypi2pJNGn6Fp2kzsjLKan2KlIzDsrNPqGAopVML3Y3KwQEDyoO3vDy6qbWrao8hIpo9uzLE2tM8tEpQ2y+w74ezwnH1NJfx3JQlZa3DI3cGAyWVlfoup6Zobb38JlmfWCkhfiJvFhcuvKBlIHw2Rhe7zZORjgd41VU+i/uyVYbTI6qac+PsbDin7waCCog78D4fIAOMDn744bT++JGSsZml1elTKHWlLKWJKjtnO9fnSpRcQoJKQkJ8qtpScA7jjprQkbR1GqHgVyemqO34mG3FITuLpCdiSkrHk3KwVZyAM4zxAZN+v6MGdNOw1q7YQqQdSFNqu5gt7Cg4H8hkKKhj7s8GNSr6NO4GFPtvaoaZKUlxXhE36y2SjnbuSZQ4OMZ/ZHHagVqtybyaBa8uwzK196Wbm50oBCHAohO8pGABkHcRwM8xqHGkW3W6rTavS11SYln9pmZGmsTjaykBJUh5ak7kkpyMff6iAySSn6Me73J11oat6XIa8JxTKfyxQpwKCCpJUPhx5eDnHoMwo19F3exaBVq5pkpW77SboSRtIHb81nOcxGUx4j9elXWpGaYYfYW2rEyGQnxZco2rZGQCCv0PHf0jSCVeXRZhqYlU70zkstKXZ5aiR4bwPIGQOE8D3gMk3NfReXOJmVQ9q7pyW1qaQ6E3U0FE8Bzblk+ucAg+xhlLfRnXUpp1T2remLikbMFq82QnJ7/7QcfL8YiRiWblajRKi9LyIVLOy72VfErUnw3yQRgbc4H6X48QCUkJFuossSctlko/k6Y47nbMIHAUcL4JPHbv2EBkmxf0YVeDCVp1QsDcUkqUbxY2JIJB5+H5AwfxjW0/6NO5y3NGo6t6XLcShRYEve7IG7B2lRMseM4yAMke0cK1X5JcvT1TLT7qXUOKW25TH1LWkzT2QoIO1OR6H3z6xp5WybcnK6zM0Whv0il1BlySUzPuB1Te/CUv9wQpOScZ7oB3cwGSXaT9GBck60tU5rNpq26B5US91tOgH3J8IcdvbvGc99GLXGG3kN6w6btTiMJSy/d7QG4p4yfA+78DwIll7pH0Wl9MqxWpLWF5c0qgTFREgHJZDDbzLJfDePE3q3OtNJ8gCjgdsYNY6RWpturuSs3RXKiJcJEoiZmyNroLg8UHGCseLuTgp27MJIBUCGTrJj6MjU2UDU3M6m6TNSswFBouXslAWpPCtqjK4UAe/HqI660Pow2pqTbeujU+zZt5QX4rVJvaWQlKt3lwtUovPA5GBz6iIouim2/d1vSshWn0SKrfem0yErT6cwlxTZIO1wgp3HyIBVuUQVcleMxoLorFh2Lec1MaU2JNok0uTAp8y8/MPO/DqJCPFCso3hBAIHAMBkmS5vowK1K1lMrb2rGnvwy0IWhuevFpL5UScp8svyMYAOOTniNPMfRn3s3NvMo1U0raS2VJDbt7tFxChwAo/DDse/A/CIduCpXTXKtKVVVPSmY8jbamyUFgA+XJPA5Pft3hB+l1F+Vm6vWUoenFzCfFQoeM66HApSnlOA884ye5KifSAyTQr6M+9CqWA1d0pCVNFT+69GvthSvs/mO2AOT65jOlfRm3Ype6q6u6WloLbSTLXo0SAd24+ZjGcAYHrzEcUS1ZeaUE/BSrQQ0SVOBIKWwCVYKufU8fOEDb0jRaPMN0WkGYm5shTrEyEONtAZCdq8eYgHB9IDJLbX0ZlWKCqY1e01QnftSpF6slJHHOTLd8HtDxf0XFyioMKc1a0/Yps03vaeN0trccOD9geAkLT25yOD8uYKdpr66RO06ZlW2XpylOoaQG8hLxmZTOOMDyeKR6+VX45WKxMS8syu45yYlZeSS6G33GS+tpocNoab525UBjsBuJ47kMl2ba+ie6fp6mSzdU1pnXqzLNI+t5aSuOQ8Nh5SgjAJlVFKSogDcM5IHeIU1J+jNmWbpcRpZrJp2qgJaQEiu3nL/GB3neCWpcJ2jjHGe8R3O6l3zZE5T7js+rzPiXC7Lv1pQlwtUwJd9p9KV7klScPthXHfb6iIgq1vVKem6tUZSQaDEqsLUN+0ubh3aSsBbgzk4wVAEA5PMBkn+b+jR1GL5MhrDo6GQlIT4t5p3bto3dme2c4+WI2kv8ARn3SuVlW5nVzS5c6QfHDV6N7FDecbB8Pn7IHfPOfSKmv0eqpbWv6nmyleCkhknjGM9vQxLVElX269S5NMigNSVKb/OFrBSvwlgjcR6h7t7j5QGSYpz6L27TLoep+remoWeFNuXY2oA+vmDI/qjXufRn3iG0hvVnSoq5BKr2bA3eg/wAnjgGlzS6g+t5AQ2N6whKcDOCeMDA7Rx06wtEolTlOmFJW7lQaZIWRnJxxAZJrR9GVqGl4szGq+k7ZAOB+Widx/D4eGi/o0NTm1qbe1b0eQQrjN6IBx6Z/MREtQRR5p9p6Rp9wSjXkQ+46n4lYTgZW2glOVZ3naVAHgZT3jSXFJNmcmZaSkqvOhL58CdnJMMrcZ427mUKc2KI5IDqwO2TjJDJOyfo0dSAcnWDR3GDnF6I7+n+0e8Lf9jPv0Ab9W9I9xHI/LZA/Z8PFYhSai884gUuYHiOJSD8O4MZI+UdEiVmkOB76tmEuNnKFeETjHbuIDJPZ+jRvoDP8LekmPT/t3b5+7+LwvKfRpXfh74nVfSpfk/NeFfTQwrOSTmWORj049Ig1cpUZtPjimupd3FZc8EBWMYwNo8o5OQO/GewjXzUvVS18K/KTXh85BY9Mg4zjsSB+qAyie3Po079WpRa1b0jCQeAq9mycff4EaW8vo7NS7PsS49Qfy609rNPtaQVUag1R7nE5MIZTwSEJYHOTgZIHziHrtrNRnnJcTCqx8IwhDcuzPzapjwQlIBCSUpSB6hKUgAYHOMxOvSGpT2kXVEp3nOnqQMcZHxIgSVSVRG0rUlLUyvacZSpOD+yCJztjqx6i7Lt6n2pa1+Ik6TSpdErKMGhU10ttIGEje5LqWrgd1Ek+pMEAWU6IdX7xvnXmYpk67SqfTvyTrZTJUmnS8jLoIlhtwhlCQAMA9+5J9cxRajyypW55KXcUhakzLOVJVvCjuHO7sr7wSItj9HQzMTHUBNutIeWgWhXEHyAAHwMAkDnJzgfdFYjJTMrW6GqblH2HluMApdSpJPIwcEDg+8SiGSwnsD8iIXS6hSUtqHAwP1Q3QeBiMwDkH5xJl1Mn9q0hsDgHMIKG0/P3ELuDyY+cN8GBIomWVtC1LbSlXIClJEYKCkknnBiaejxCHNcacl1tKgJGb+0kH9D5xcbV/V60NFaLI1y5qRPzTU9NGVaTIsNLUFBBVk71JwMA+pj1LXTo3FB1pS2pH5HWe09bTb6NhRod5OSTXrY5/k/DJ8z0gnsCMR7twcEH9cfRm/eobTHTmzrcu6tyc64m5pVmdp9PlpZpc2plxsOb1pKglISFJB83dQAz3jsdP7rpuoNqSV3SVvztNlqgkuMMVCXbbeLefKvalSsJUORz2IOOY646NSlLZGqs+z6njVe3N1Qo+kVbRqDeE3LqufTj+R8tvKB5WVZ9yTg/hiPUuY52NJPbhOf3x9CrZ6nNKbr1L/gwp8nPM1FU0/JMzbsu0JR95oHISsLKvMEnaSkZIx3Iz2mqWoNuaS2hMXpcFOmpiTlnmWFNyTDa3SpxQSMBSkjucnn09e0VjpFKcXONZYXPh9TSp22vaVaFvUs2pz+6t3P/AEnzFaSt3I3IwTyDxn8IcsNiXWVleFH2QTH0IqXUXpnSdK6fq7PyU63T6w74clJmXa+MeX4ikqCUb9vGwqJ3cD5kCOo0t1Bo+rFrpu2k2zVKbTnZhTcsapLNNqmEpxlxAQtWUbiU54yUqxwMwjo9KUlFVePPl095Sr24u6FJ1qtm1FPbnd1XTl+x82XVLclsEeZohZwkjvjnPvDFXKjlJKSBxz6d4+kusWrto6JUSRrtz0qempeoznwLSaew0tYX4al5PiKSAMIPqTkw4qWqlkUfSyW1eqjTkvRZumMVRhC2kGYWl5tK2mQkHBcO4Jxuxn9LHmg9HpqTTqpY8vqRHt1dTpwqwtHib2x9bm/BeqfNJSVHw8Ageg2x4AvasEK9c9h6x9H9HNabL1sptVqNrUioyiKU62zMCosNNkqWkqSRsWrjAPqI4q+usXRaza49QpdqdrszKrKJl2my7apdtY7oC1qSFke6cpzxnPEUemUIwVSVZYfl9Top9sNQrV5W1OxbnHmt3L2+rgomvcQpRznH878faPSMKPk9D7n1z6R9I9LNbdM9X5B+ZtScImpMb5unTbSWpphOPtFGSFJ/pJKk59QeIilHXfo2tIX+Sd1EKGU5kpTOP/3/AJxEtNt4pSdZYfl9TSn2q1OtUlRp2Et0ea3cv06lNSkKyNp59siM30IOxspysDhSvx7Re/TTqu0w1SvOQsm37er0tP1BLxbXNSrCW8NtKcVkpdURwg+nfEb/AFc6h9LNH3kU24lrnau8jxEU2Ql0uOpQcYW4TtQgewUrcecA4ifsuh3fe98tvs+pm+2GoQuFauyfeNZxu6ePL6HzpLXmJUkc+wHtiHsnLpfbeWtAIaRnsO2RF99KuqDSXVeqi36b8RSass4l5SpMIQZkj/va0qUkn+iSFH0BwcdRrDqxaeituydy3TSZ6Yl52eRINokGGlueIppxzKgtaRt2tK9c5I49rR0mjKm6saqwuuPqZz7aXtK4jaTsmqj5Ldz/ANJ81phecHzfr+UJCY2pACAcnPKQT+vGYul/h36Nbin8k7pyP/IpX/PR31Y6iNPaJpVSdXpmhVVVIqr/AMOwy3LMmYSolweZJcCcfmz2Ue44jOGnW9RZjWXu+p01e1Oq0JRjOwknJ4XrLi/BcD53lRVg+YY4HeMFJHPlIzwTzH1Rsq46Nfdp0q8KRTXGZOsSiJxlEwylLiULGQFAEgH5AmNPqpqjYuj9ui4bwUG0uOeFKyzDaVvzTmM7W059ByVEgD1PIzu9FhGG91OHjj6nn0+31xVr+jQtG55xhS459x8y2d6SFoxgKCir8fvhULwQoDhQx/rzF9tKOqrSzVW4kWlI0ydpNTmEqMqieYb2TJAJKEKQo+YAE4OM84zgxv8AVzXzTDRnwZW5XVzNVmEeKxTpBhDj+ztvXuIShPf7SgTzgHBjNaXQcO9VZY8cfU6p9sNRhcK0lYy3vkt3Tx4RPnUXPNkDsMce0IBtxTiwtolMfQDS7qo0i1Prbdtyrc5RqtMECVZqTCEpmT/NQ4gqTv8A6JKSfTMONXupXTrRi6Ja0rloNamZyap7VSQqRlmFthpbrraQStxB3bmVHt2I59BD0y3VPvVWWPZ9S0u12oK4Vo7GSqNZS3dF15Hz5S2hPl8FeO+B2/UI9UgKJPgudscgn90X20/6uNGdQLklbYYlqnSKhPLDEoalKtoafcP2Wwttawkn03YBOADkgRKl8XTb9gWpU7vuBjZIUxguuhptKnF+gSkHAKlHAGSOT3i9PSKNWLnCrlLy+pjcdtr21rRt61m4zlyTlz/0nyzU2EEKDfpgjnOPaMiwSC6hC0g8ev8AXH0f0a1u0+1vlam5a0jOy7tHcbRMS0+y027tWCUuJ2LUCklKk985ScgZBPP6rdUGm2j92qsu47frU1Opl2ptTklLMKa2uZ2jzupOfL7eveKvSqMaaqustvjj6l4dsr+pcuzjZPvEs7d3HHuPnylCgrnMKltRA8vA/oxea1OszSW8Lmptp062bkZm6tNNybS3pOXDYUtQAKil4kDJ7gGOy0719sXU6+q1YNDotUYqNED/AIy5uWZQwvwXgyopUhaifMcjIHH6oiGmW9TChVy35fU1r9rNRtVKVWxaUVl+tyXjyPnGHFt48MFJTyCMgiPdq1Hcc5zyTn98fWoy8tyPhWsj/cxFW+vFttu37QLbSEfx2aztTj/a0RN1o/o1F1d+ceRlo/br7WvYWfcbd2eO7PJN8seRTkoTgApBwdw49YMkqAz2xiAH0j0EhQPoDHi4PoORXaCngAY9uIQOQe/bkQqVpWcZgLWREA4rUhEwqRlFISV4WcbPMQMfLMSp0htH+BbqfdykeHp6hJHiAEkzBOdvc9u/YcZxkCOAvCn1mZlWBSpJc0UrJW2h1KTtIxnBIz+uJb6V6fWDpP1KMPUyfaW5p6htDbrRJUr4kcJPIV+EQzRFQ0VQIG1RORBHRTFPal3VMTMojxUHasKl0KII7gkesEQSW1+jSr31LrvUpOWacXLzlq1VT8sH1oZdDTYWkLSCA4O4Gc43EjEV9r121S+5mhmckKTTpSnTIelJOnybcu2wlxwKUnLaQpw9gCsqPA5iePo/qlMTvUXPKelvAbctOuvNoWgZSkywKfNsSCNpHIAB7gDtEHabVS4JtiXpFvWhLzDjEk+5Oz5k/FeRKqAC1krJDaUpJSFgJI3dycRKIZ0jLKVI3F9pAHBC1ebP3DMKPCVS2nwXnHHAclWMJ+4Q1CdqiCIUIUpPJ9IsZdQUSoQmMgEwogKJIPbEJFRyRAkmzo551zp+eP4jN/8AQiYuvzjTy2+cf44X/wBSuIf6O0Np1wpykuFSjIzZKdvbye8Wd6ntGrk1ptakUS156nyz8hPmZd+OWtCSktqTwUJUc5I9BxH6KxpyqadOMFlt/I+Y69c0rTtTb160tsUk2/D7xU3QuXpGs2slBkdUq823K0mmyspTZB5BS3NiWQhDEqP0QClJWoE5WdwA8xxcvqK1GVpZpNVa7TXwxU5poU+mHgbZh0bQtIx+gkKX/wAgCIx1S6Q5i7ratKftSqSVJvOg0yn06emSpaJeb+HYbbDgWhO9LiC2koXjlIAPYEazVHp96kNXKFbVDuy67TIt5txK30TExunHlEAPODwsBQQEp49d5/SwL0qde0ozp7MyfXx9vsOLULrTNZvbe6nXUaUG90Hwxh8147n+hU2TpUza1u27qPS7jkF1I1V1TMi3MhU1KhgoLbziftDcsLwCOyUnPmi5XUreNO1C6TWbzpbiVy9UfprykpxlpfigONk+6VpUk/NJEe1zoV0xXbU7K29NVVqt/DESs1MzmWfiNo2qcQE/ZKhyB2B47CNTS+mHVdrQSu6QT9et5Spury1Rp60zDxaaAWFPJUfDyMlIUMA8k5x3jGlaXVtGdNx4Sj08Tvvtb0nU61C6jWxKlU/qWPVb5LnlLx9pWzTBqn6nXvaFi6k3OZG26elUpLoKy2lQUtThbSrICFOrVgucHG32TH04kKfJUqTZpNPlmpWUlGkssMtpCW220jASEjtgACKw3B0bLuPR23rdXM0uVvShNuMidbC/hpppTy1+E4dm4gBeQdvByOxiZNFaBqla9qJtzVaqUiqvSG1uRqEpMOLecYCeEOhaE5KcDCgSSCMgEZV26ZRq2snGpHmlx/2PB7WX9rq9NVrSqkoOScPHi/XXjkh76QIA6b2uCM/4/H/+R6ICqdz3hrxQ7R0vtrfL0OxLVYcm96TsLstJpD77mO4BT4befcnjcYtz1PaO3NrXaVHoNrzdPlpin1X41xU64tCC2GXGzgpSrJysd8D5+keaRdPjGl+lNatRL8m7cdxSb7dTnxnYXFNrQ22kkbvDRvPpySs4GcRlc2da4u5dINLL9nQ6dI1yx07SKO5p14TltX4dz4yfsRWbQ6t1u3emXWKrW6hxM8lUi1uQcKbadV4Trgx2KWluKz6YESX0TaXaZ1/T2euquW7Sa7V3592UfE/LNzIlWkpBSlKXAQkqySSBz29I7rpu6e6xpdaV02vfb1KqMvcZbbWxKuLW2pnwlNrSrehPcLI4z+ERtUOkDV2xLjnZ3RPU76vps+cbFTr0pMIR3DbhbBS5t5wvgjPYck0pW1ejGnUnTzhNNfn7jrutWsdQnd21O4VJzlGSnxxJKKysrlxTJUs3QjRG0dR63clnVLZXpVL3+KGKmA3Tw6jzJ8BJ3bSDkJWSlPGBwMQP0H2VZt5i7Dd9oUSuCVZpxl/rOnMzXhbvG3bPFSdudozjvgRL2gvSaNNqq/fF815qtXS828GVtKWWZYupIW4VLG511WTlRwBk8EncXXSpoDd+h35Q/lVUKTNirNyiWTIOuL2+F4m4q3oTgfnBjv6xrC2nOrSnKltWXle04K2q0Lezu6VK6c6jUEpZabxnKXXC8SGtNqVTaN15v0ijU+Xp8jLT9Tbl5aVaS0yygSDvlQhIwkc9gMQx6dreoernUTdVT1ZlWKhUEKm55FMnUb2nJgP7FIUg+VSWk8BBBHA4wmJrt7p2vGldUMzrU9VaQqiuzM2+lhLrnxOHpVTSQU7NvClZ+12Ea3WrpLq9x3mrUzSO627frky8qammVPLYBmD3eaea8zazzuGOSScjOIx9ErU471DKjNvHimeg9bsqtR0HX2udGEe8WfVks5Txy83kjXrSsOx9PK9bFy2JTpShVmcW845J09IZRlopLb6W0YDat3GUgZIz3STHb9bk1OTuhFlzlRSETUzW5R94E4wtUhMlfHpyf2xhp90dXRULzavrXi8hX1yqkOolRMOzC5laOUh51wA+GnGdic57cDIPS6+dOt/a1aiUmY/K5mQs2Tk2kuSynlqWh/c54rjTIGwrUgoTuKhj8MG0res4VZRp434SXh5mcdTsKd1Z0q1wp9wpOVR5455RXXgRvqJYdi0/oxt665Ky6FLV16QpTjtTbprKJxxTi0byp4JDhJzySefWNRf4V/gP2Rtzn61T2x23zEWT1m0edvPRhGllkOSNPblESLEmJoqS2hmXUnCdyQo5CU47cmOEubpsveudOduaRS1VoyKvSZwTL7q3nfAUkF4kJIRuJ844KR2MK1hVTlGEeGzHDx4Gdjr1tOnSlXq8VXcuL4qOHj8iHLU6kdf9MNO6A47YMl+ScnLMSknPzUi6lL7ePJ+dC8ZIT3wMxOFyU/S/qB0xt3WGu2/8VWGJNw0mkTFVMu3MTiVkKktpIS6HHmgjO0KUnHbgCK3OjbqBq1Mk7WruqFPcoMmpHgya6lNvS8uEjAKGVICcgE4HHfGRnMSZqD0f0mt6Y2tbVm1lUncVmtqRI1F/I+K3r8V0ObclvLpK0FOdnbkEmIt6d5slGpHMUlhPx8jXVLnQ516dW3qxp1HNtygnhR4/e831xx5kIWyw7cHVhbq9Q7dktOZuVmpR2WpkjJ+Eh99vzsN5SQMuqASVYIIG0ckQ+0btu39WOqS7F6otInJhh6dmmKdNnLcy608lCW1JP20NtjIR6hIyNoIMiaY9KeoX8KEhqZrReUvWJqlONTTCEzTkw8+80ctFa1gbUIUAoAZJIHbnO21x6TJu8LvGpOllwM0C4XHQ/NNrW4yhbw7PtOt+Zpz34wo85BJznCzrqKqOGfWzjxX7HTX1zTpVpWsK6jupbN64qMs54P72H14ka9b2n2n1jO25cVlycnQKzOvOpdlKW2JfehsApmEpbx4akrwncnBUVD1TmOQ6oqnWq1qZpzWatSkTdXnbIoU0/Jus7kPzK5maUWlN+oUs42/MiJWsjo5vOv3i1d2vV6Jr6JdSP4mJpyaXN4J2tuOuY2N9ztSDuyRx3jfdSPTPf+rWpFNvaza5R5CXkqNLU9JmJl1t5DzMxMOhaNjasAB5GDkHIPHGTFW1rVIVKkYY3NYXD/0TY61p9lcW1vVrqfdxnuqPOPWXCPiV3nmHEa62nP6o6dy+nFOW9LKMlR6UJVtWx1RS6GwQMqcKUrWMkJGcEjBmLr01LU1JUjSylvBXxZFXqQSeSgEhhr7irco/8BEYUfo51UuK8qZXdX9T26tKSK0FSjOzM7MuNoVv8FJeCQhJIOTk4yTtJja1jpFvLUbWWoXzqjXKY5Q52ZeUiUp8w98QlhIKJdoFSAAAkI3EdyFH1isba5VCdJQa3tc/D8jStqekTvqFzWrJqjB8s43cMbc8W+fXwIb0Tr8roP1AydMduaRqdGqLbFKnp+RfC5Y+OhCkq3D9FDxSCf5qVGLadSdl2bUNLL0ueoWfQ5qtStEfLNTepzLs20UIJRseUkrTjnGDwSSO5iJ9TehGjTkhJL0lqCpOcQ6ozgq02tbTjZT5SkpQSFAp7YwQT7CJwrlk3jc+hE7YNZqMg5ck9QlU198OLMuqY8Pbv3FO7BwCfL6x12tCtSpVKFSPDDx1XsPH1jU7G5vLXUrat62Up/0vCaeWlnhzzxIc6HrLs6q6cvXFVrRok7VpWuOiXn5mnMuzLG1DZT4bqklaME5GCMHPuYgmxbt1OtDW+9anpVbbdaqjk9UmX2DKqeCGPjMlW1JBHmCefnFxOmrSa4NHLFmbYuSoU+amnqk7OIMkta0bVIQAMqSk58p9MduYgub6Q9epC867ddl3/TKKqrT00+l6Sqc1LvFl15TgQpTbYPqnIzjIjKta1o0KLhF7o5zjnk7rTV7GrqF96RVi4Two7nmL8seHsJC6cOpe4tUbwqWn99W9L0+sycs5MtuMJW3nwlpQ42tCicKBUPX39o0/XiQq3LRJ4zOTf/Vojf8ATj0xVnSS46hfV53KxVa1OsOSyES5cWhCXFhTji3VgKWtRSPTjnkk8aLrwSn8nbQSe3x01/1aY1q99HTpK4+99UcNn6A+1NH7Oxs8uWdrzjyKaAZUYxwQYVCUnKgraTz2JzGKuOY/LH2IxbGVY+UOB7fKEEqSklR9BG8p0hTpiUbW/M4dWM4BxgekSBnJyrcypSFIC9o3YPueB+3A/GJ66fWzSNLtfnXVYQxYocKjkjAez2PPpER0+Wp0g+Wn55KQ9/JpcUMqPoB7nOMd4lbSpSGdFeoeZLDbw/IVZLboO1QEwkEHByeR6YirNEUkaLkyFTLsqy4t5SnCpQ5OTn+ZBC7NRkZlltbVuSKAltCDhlStxSkAqyok5OMn0yTjHaCIJLOfR4NOua8zD6mwG0WlXUIIHdPw+eD+uK02ypbUxJpaUG0PlkOJQTheCD5vQ8gH74sl9HlOPTfUFNPTLTaXDaFdI8IAJx8N2GAIrVbQUl6mlQ43tgH9USiGSSoYx9374WaWPUiE1jyj5iMURYza4gpzG7nHMY5zyYyUncRj3hw1KJTha1DPpgwBsLSvC47ErLVyWnU1U+otIW0h5DbbhCVDCvK4lSeRx2iQGuqLX9RSkakPDJAz9XyeME/NmIyVJqdSp1tI2DuQOBCDbainYQCT6ZjWFerTWISaOK402zu595cUoyl4tJv9SVz1Pa/NgJc1KcPG7/IJM4J//CjH/Ci14zzqNMKz7SEnj/qYih9JSvIRjPsYT3KBSQe3qIv6XX6TfvMPsTTVyt4fCvkTAeqPXpCSXr+fz3B+Alf81GD/AFRa+pJCNQ5lJyMf4vlORj/zMRSqYdfAS4srA4GR2j2XS6FEAlefVXYfKHplwuU37x9h6Z/bw+FfIk//AApdfAcL1FmT/wDkJP8AzMLJ6odesZ/hBmsf+j5Pn/8AhiNy04pHnfA9kgcD2hMpAG0H7P7PnD0uv+N+8j7D0x//AF4fCvkfTHRu4q1c+ltr3BXJ9U5Pz8i29MPqShClrJOSQkAD8BHO2V1L2JetRuyUb+PpTNmBa6nN1JLTbAQlxaFKSUrUTgtnuB3GBk4jY9PqcaL2WD/4ra/rMfOi6J64Zev37I01yabpE5W1pqimU8HbNPFoKV6DduIBIBIGe0fo7m+qWtGlJccrj7s/+z5VpPZ221m8vKU/V2SWMcMeth8OvDgj6H6QdQNB1smKim06FXWZWm4Ls9OyzaGVFR4bG1ZJVjKsY4HfuAeDr/XLphQK5UaFUKJc65ilzT0o8puWliha21lB2kugkZTxwO8SNobK6eSWl1Fa01mUOUBLG5L+AlxbpJ8VT2Ozm7O7Pbt2AiuPSpSqDc2vGqLtQplPqsn40w4yqYl0PpBVPKwpO4Ecj1HcRpVr3CjSjGS3T644HPaabplSpeVq1Kfd0UsLdh5zji2uZPmjvUjZ2t9Wn6RatMrMq9TZdMy78cy0hCkrXtG3YtRzn9kY6udTNiaO16Qt25UVGbnZ6W+K2yTbawy1vKQpzctJG4heMZ+yflmC+kVyUpuuOrLhUzJyUkqb3HAQ2y2idXz7JSlI/ACIHv25qNq/fV83zW7iFMUqXceojTrS1fFBtSUtS4wDsyyknJwAojJ7xz1NUqUraM+G5tr8kerQ7J2dfValNRfcwjF8Hl5klhZx58eHQ+ncrVGZqUbqUvNNLlnmw8l3ICVII3Zz7YOYgW7OuLSG1a49Q5NFVrvgKLbs1T2W/hyoHBDa1rT4g4+0Bg+hMRzp7qjWrv6OrtoUtMuLrtqU5dPKkk+IqSOChfHPDRW3n/cwfWOh6NKDpRNaTTEzNSVEnauZl765M+y04ttsHyBW/OGtgyP0clXrmOh39Su4QotR3LOWebDs/badTuK9/CVRU5qCjHhz47nz6EjzXVTpa3podUqfOTtQp7E0zJzMnLtIE5LPLzhLja1AJ7dwogj7ORHDq6/9J0+b6huoZ7H4aX/e7HSaI2p0yGdrrOk/1ZVZl53dUWXXnJkISlw7Qlt3KA2lRO0pTyMcnIiGenqh0Of6vdTKVP0aQmJGVZrhYl3JdC2mttUl0p2oI2pwlRAwOASPWKVLm6j3e2Ucy4eJpaaZozVy6lKp/wApbuLUW1w4Yx+vVdCYb06ztO7HqjFKq1GuFx6ZkJWoJVLsMFAafaS4kEl0cgKAPHcHBMbHTDqwsXVitTtFoFNrrD8hIu1BwzTDISptGNwG1xXPmHfA+cVu18RcUr1XbLIpVOnKmxJyqJKUm2GlSx/ixBSpDhCMBIOASPTETPok7qq+xditUbQtelIFIX8E5S5aUadWrCt6SWFqJT9k84HaKU72vO4lTfJNrgvBeOTou9A0u302FxCL3SjFr1+K3Nf07ePvEW+v7SUlvFButtKlDlUrLkgfMeN7GJAuzqd05tbTqkaoy8zPVih1idFPl1SDKS6h4tuOFLiHFI2EBpQIPIJT6cxR7SC/Zq3bHuO1JPSBu8Ha6gNpnfg1PKklFspAGG1H13DBHIjo700+uvT/AKUqUzeEk9IzFUvtudakn+HGWvq+ZQCod0klJODz74jnhqty6Tm8PhnlyfT25PVuux+lU7mFDDj66jxknuTT5JLKx5n0Ety4Wbnt+m3LTkPNStVkmJ5lDoSFpQ62HEhQBIyARkAnHPJ7xwtC6hLQruqFa0jYl6oxVqIy+/NTT7baJTa1s3kK357OA8pA4Pb1qnJdQnUhpDblozdxydDmLZmpSXbp0uoSylPSqGkbQSyvxEKCCjlYznuO4jo9JUSF1dY97CblS5T6vSZ9TjSlY3NOplyUkjkcKx+uOt6o6jhGnweUnk8GPZGNtGvWumpQUZOLg88YtJ54LiskjVTr00lkK67TJWQrs7JtueGZ9mWbCFDPK0IUoLUnuckAn2959t+5aZc9EkLht6oInadPsJflphCfK4hQBBwQCD6EHBB4IyIqRqRpDcTtea6f9IrFptDtCccRNTlanEmYdW4r84fzq1KcCUBISAMk9twBObO6Y2NLaaWLR7IlJ1c43Spfw1TC07S4okqUduTgFROBngYje0rXM6so1eS8Fjj4LxPP1uy0u3taVWzyqkujkpNx6N4XqtvpllO736g9c5O/7godEv8AeZlZKpTDTDfwUrtQhCyEpypok4A7kxzrvU31BMrxM6gTSTnj/F8pj8PzMc5qBNKlNT7pWkAk1icA47fnVRoZ6qJmpb4fwl7iQVKz2+6Py9W7uN8lvfN9WfXrLRNNdtTbt4Z2r+lceHPkd9/hQa8c/wDdEfzjH+x0p/mY8/wodeSRnUWZyP8Ae+T/AMzEWFSSo8EjJ7x74pR/JHb8sRRXddf1v3nT9h6Z/bw+FfIlB3qi1942aizHb/wCT/zMIjqi1+KiP4RX8/8AEJP/ADMRoqZWDlYCoEuMvqCFJKSfUQ9Lr/jfvY+w9M/t4fCvkSgeqLXwHA1Emd3zkJP/ADMc7emrd+alMycrfFzvVNuQWtxhC5VhtKFKABOWkJJzgd45lICWy0FgpPcbEn90IrZG1SkJJA78dorK4rTW2U217TWjpNhbzVSjQjGS5NRSf7CJVsQEodJA7c8iMQFLIGCcxgAVHO0pHzh1Tn0yU2iZ2le05KT8xjiMT0Bu4goxuSR94jIHgekP61OszxaUyhaQjIO4DJMa/viAMB9XmrU5ypurQwy4VqIAUCrHlH68e3aLBaNPuVXSvqEkm0KQwiw0kbk+YhT6NpI9PKkffyYrjUmUzc3T5EMqcW9MAAg/Zxj0zzniLJdOMy45pz1AvzTSGm12Wp0AYA8MTISn7PYAAjEVZoirqWZJjLYlSMH0OP2QRG93XBMP1x/4eYUlKMJI2g89zz+MEQSWf+jm3q6iZsKOR+RtdJ8yjz8P25EVwtdH8dpyyXPMtrP2iO6ffgfqiz30eMlMy/UNML2NhLtoVsI/O7txMsD3Jxxn8Ir3QaK+mckPjJ6lhTYSlKUTaM4bTnHl4KjtwD+kcckkZlEM7o8pAzCaftYEKhB3kemY9LYBJAGYsZdT1oFKiSPSM/EWTiME7veFEIycwJPFpBTsLXiLVykf2xi08kYGSVE4G0QTacJBHpGUk6palI8ZCR3BI9uYAxmVvgpCnVKTjspROD7QlgH9ECPVkqJcKs5OIzlmVOOc5x7QApLShcOVZx8o2KQ2yjzAYT3PriM2mwhPbEN3juWE58ueYASWpSlE9kn7Pvj5xiohKRjJP74VbaKkg+noflCbrJddDaTjHBgD6PdPuV6J2asD7NLbKs/8IxoLP6X7FtKbvGYm5ufrcpeoIn5OdS34bYLq3PIUJSoEKXkHOQUpIIIzFCVXNctPDdPkrjqrDLCQENtTriUJ+4BWBDhN23XsB/KmsZ/4+7/ej3FqtJxgp087V4nzufYy8VWtUoXOxVHlrHnlcc9C7lqdKVAsy3bstKh31cf1Pd9OmJGbkpksONtqdbKA8kBsHelPGSeQAFZwMdfozobZ+h9Kmqfbi5yamJ9aXJuemtpce252J8oCUpTuOBj1MfPRq7rqxzdVY/8Ab3v70Ji7btAKU3TWQCe3x73z/pQhqdvSacaXLzLXHZHUruEqdW8ypYcvVSzjlnHMvFIdKNsUtV8qkbyrjar+aeanynwMtNuvF1xDZ8PsrKkHdnyk+vMOrJ6StFbRoxpVRtqXuV4vKdM5V20OPbVYwgbQEhIAGMD5xRVN3XcCFflXWcjt/H3v70H5W3Zkn8qazz/5e97H+lELU7aLz3K95efZXVpxcXevDxnCxy4LisPkXx0v6Z7R0muisXDb9dqj8nW5d2UmKTMhlcoWVub0oxs3K2DKRk9lKznMcPdXQXpZX6yupUatViiMOrLhk2ktvoSScnYXBuSPvKu0VFTd125ObqrWPlPvf3ozN2XOpGPytrCXP5qp97t/60VeoWsoqDpcF5l6fZnV6dZ3Eb31mkm9q4pcs+zx5n0V0o0ZsvRqju0q0pVwvTRSqdnZlYXMTRSCBvUAAAMnCQABk8cmNPYfT9blg6qXFqxTq5VZmeuRM4l+Uf8AB8BoTEy2+vZtQFcLaAGSeCc5PMfP5N2XYkkG6K1z71B3n/3o8Vdd2lWRddYHy+sHef8A3o1WrUMRSpcI8uPI5H2K1DfUk7vjUWJcOa8HxLu6rdIlmatXlNXnW7nrUnNTbTTSmZXwPCAQnaCAtBOT65MK6TdJdlaQ1merVFuSsTjs/T3acpEyGAlKHMZUNqAcjaPXEUjaua9UtKKrprJHzn3Qf+lGJuu7OAbqrP8A7e9/ejJX9qp94qXHxydT7L6s6CtXe+oljG1ckfQbRLQ239C6RUKPQK5Uqk3UZhEytc74eUKSjaAnw0pHI7w81p0ao2t9syVs1urT9Nl5GfbqKXJLZvUtDLjQSd6SNuHSe2cgcx87nrmu4pKxdVaHlKsioPc4/wCVDhNdu1DYdfuetAKThGKg7yo/8r2yY0Wq0FS7nuvV8MnL/wAF6g7tXzu/+bnO7HX9i19D6CNJqXU2Z+er9xVJptYWuVWphpt3BzhZQ2FY49CPviRrW6fbYtDV2p6vyNYqip+qsusKkVhsSrSHNmQgBO7jwxjKj3MUI/Ky70IJVctYLZ4GJ93Of/WgbvS7kt5auiq5PfM67n/pRSGoW1N5jS4+06q/ZfV7nKq3ucra+C5Pmi/LugVtTGtTeuBq1TFVaQGxJpS18PgM+Fn7O/O05+13+XESikFXAIyfnmPmJSLouecbfbmLjq2AQnInneAfXO7iGDVz3a6442zdNYUkOeUmfdzgc/zo2jrVOGdtPGePPqedX7A3N1t765ztSS9XklyXM2OqBKNSroPqK1OA+38qoRyrhBOSBn7oUefMw6t5xa3HVKJWpStxUe5JPqScxgWyrk5H/Jjwak+8k5eJ9It6Xc0YUvwpL3LAik5J++PQ2t1aW2hlSuAIy8LB4Qv9YhRCly6vFbQoK7ZMVNhuWHVL8LHmScKGccwomSmWH0KdbIC/sqByP1wNzC/Ez9lXfiHqKnNNjzLCgR2KcwApNFhpmX8HyuFOVK9fWEUuoWlSHlb92MZ5x+EIqUlSdzpIUEhIx+EI8H7KyfvgBw+qXU6Hi02cJ2kIGCfmcQ1SEhYyTtz+yMvzecKUd3sIWblQ+cEEA/gT90AIOgrOG+RnMeBhe3JEPw22kbEspAHAHIXn7+xjBf8A3vBST6HhX9kAc7W6vLUNxmemZT4sjelDe0qCSUEbiB7Hn8BExdNN3P1XR/qNZRLoZbk9PgpOEkcmZGc5Uec59u8RdUaRUKk7LSNNLK5x15QZbeUlHIQVZyvy9kkdxkkCJP6fJevUvTDqaZr8u4zOI0+StaHJYtkfxnjHooH0IirNEVGdt9FQecm2adUVhaiSW1J259f0T/XBAa9MAkNsyyx7qTzBEEl0Ogq9LkrWvMxITc1MtU1Ns1+ZZliy0hKFKYychCQD74xgegHaKtUgTE5Pys/UDlx4trKghKQTx2CeB9wAEfSbpT0SsfTu/wBNXL9TZnkUGqSkymel3pYuktrKw024ncUhoIPuDuBzjJoteMrYknc7dPs81UeC6UuIqEspo7QoeGUbglRGwpyFJBB45iUQxXcvvjvz3j3JOIxGcfjxn2j0HnEWMuopgDHzOIzUClPPr2jHcAjkfdCTj+T24gSev8NCEEJxHoUpROTke0KhLZaUtXcK27fcwAmppR8oGT8o2kr4baEBxaUk8YJhOQlUpbLikZVkcGHinQ0yt3btQDhIzAGM082hBG8ZI49YZHyqDeDhXf8A19/7YzStbhK1qUoAnjMKMpRuyrkZP/z/AKz+EAYreDY8IHt2jyWUglbxOByT8j/riEHVAqKvcnH3en7IyBS3KLUs48RQGPYDzfuT+uAEtgeDr6cnaef1wmkrKdzZICvQjgiHK3WwloMrQCUAq57mMSsrUAEkgDHlBMBzJhR0/wBsU+h0OrXVrbQaA9XpBuoy8pNSDqlhtZIBylWDyDzxCR0X0tB83Una3/N7/wDfhfX5xTdJ0ucShQV+RcsRkdvzrvpHKaV6Hapa11SYpmnFrP1L4THxM0pxLUtL5+zvcUQAT6JGT3OMAx2VnSpTcVDl5vwR4FjC8vaKryuGst8FGOFhtdV5HSfwMaV5GOpW1u//AIA//fjwaLaWlP8A9pS1/wDm9/8Avx095dBXUhZlHdrkxbclVmJdBcdapM18S+lI5O1rAUsgeiQT7RG2kWiGo+uFUmaPpzRTUHJJCXZp9TiWpeXSskI3uK4BVtVgdztOOxjLvaf4F738zs9Bu/7mXww/idIjRTS0nA6k7XzjP+x7/wDfjNWjek4Rs/wkrWKuORIPAf8ASjorz6EepCxqU9Xl2vLVmWlmy46mlTaZh1KQOSG8BSseyQYhmw7Bu/VS5Jez7Dt+aq9UmEKeDDCQPDbSQFOLWfKhAKkgqJAyQO5ET3tP8C97+Y9Bu/7mXww+RIZ0c0sTj/6S9q/jT3j/APFGS9H9KFNhJ6k7XUf/AEe8B/0o66rfR5dSdMpP1ozbdKn3AkrVJy9UbL4GM4AVhJPyCorjVJGeoU/M0qsSK5CakXFszTEyktuMOIJCkLSeQoEEEdxgw72n/wBte9/Meg3f9zL4YfxJdTpJpcFAp6lrWBHvT3/70CtG9K31FSupW1RkcgU5/wDvR7d/SRr7Y2natUbkthiVoaJZibcIm0LfZbd2hO9oHckgrSCPQmOJ0p0svXWm7U2PYjDE1VVSzs2EOvJZR4be3cdyjjPmHEO9p/8AbXvfzHoN3/cy+GH8TuRpBpmplLI6lLV2BJRzT3v70CtG9NnAjPUvbOG84xTnv7/yiOL8sC6dM73qmnd3MIl61R3G0TbbLqXkJLjKHU4UnhXkcSePXI9I73R/pd1W1wpE9cGm0tI1GUpc2JOYMxOIl1B3YleAFn+aofjDvaf4F738x6Fd/wBzL4YfIcHRrTHPm6mLYI9vq97+/GSdGNL/ABA2OpO2Co+gkH/70ba+OhjqMsygTVyz1mImJWUSXX26dONzTgQBkqCE+Y49cA8RCbUm6ublXHZfzBbZG4g5GRiCq08/cXvZErK7is+ky+GHyO2v60E6T3nUrIn6s3POSqWVmbaaUhCw42lYwkkkYChHBsPmWdD21SsAjGB6jH74lXqyKxrnWkqABMvI8D0/ircRTvCPN7RSvFQqyjHkmzbTa07izpVarzJxTf5rJgJV1SVOJeQhIJISTyYSU84U7AhQI98xkVFStyec949S7sVt359eYyO482zCUJWpshCuAo9o9fWggFAAwMHk8mEZlwLeJ9ccQl4h9eYAUQkLWAUDPuf6ocYIVhKAkcdjwPxhqhXO7HaMzMOpUvacJcASoe4HvAC+cJwsgZ94wUpIwEHJMJsOAqBc4R6jPELrWzjLAwP0sjj9cAZMBtCwqZIGOU5Jx+OI2ILcwgrZW24AMnIOU/IRqnW2tvlQoBXKiT3/ABhRnw20kJURkfon/XMAOXkOqcCQ254IGAT2/tjAvlaMcYT5RuTkY/rhWXmphrCE5WlPJR65+6EZx+XUjxm2QHR5SSSCPw9IAZ76o3WaY7TFTSClxaFGXLSiQoc7m3vK4n+j344iZtA6u1WrO6lZRymybjTFgpaHw0m60tw/E8JKVc8E42p447RCU1MMycvNVGYU2DLSzrwU82FNghIGTghQPOMpIPMSb0j1OQktF+oq46NMTYmTY/iOJeJAQ6mYB8pCySBu78GKs0RxdG0h0qnKTKTlZRXBNvoK3PhpiTDZO4jgOLCgeMHI9OOMQREVT1YuicfSqkz0xTmm0BCm5Ha0la8kla8JBWs5AKlZJwOeIIgku99HtcNWu3VCoUa5qkKnM02hVaap9RqE+649KtusoacaTvcCVN8IURsURtJykbs0DotSqyL/AJRip1ZuZV8Y5LqdKyUOAqPmG3JwTt2n22+kWj+jio94yXUNUHa+lLKE2fXEhC5hoObjL8eUK3D7yMD1iutk6ZttT8tW6leVKUtp1LjTEoJmZWpaTkJK22i2nsOSsAe8SiGSiVKWATjOMdowIAOYWdW0pRWQrJ/mpG0Qn4o7ZGPmR+4RYzxxE3HQgcp3D1EYbCrKtpAVyBCpUkHOG/wBMYlW4jvx84AwTlPaMk7N4Kh65j0JGeUo/Exlhgc7x/yRzAD5NRaQgBCCTjCsQk9OF1AQ22rg5GYa+Iwj7IWc/PEeiaKfKhsH7zkwArvmQOEIGRycwJcmDgeJ2HonjEIKmXchO3BOMR54j6/tE4+UAL+TbwO3EeeXHPt6w3Oc7SeT6Q/lZZp9CU5WlSRkkjgmAG4dbRyEj9UKsOueIkuMKLZPfJhRxltKgpaN6QeUg9xAXWm5deWyATubGd2Mf/OARL3UIhJoWmix5lpsyW2j3HjO/ui7Sqy50wdBFMurTKRY+uJmkU6aXOFsLHxk8Ww5MrB+1s8U7QrIAShPYRSLX1WaPpa8CNwsmWIGP91d+UT/ANL/AFfabs6aI0G6iJYuUL4ZUnJz8wwX5ZcqrtLTCUZUnbnCFgEBKQCUlIJ6Lr/Ff5fsjy9D/wDgw/8A1/5Mj7STr11+sarz6rum135IzMs4tqTnillbLwwQ4h1tvcE44KSNpHbb3ibuhPqOsS4nL/oF2T1Es+6bvuB2vy6ZYCVlnkuyzLRRLl5SgXELZW5tJOS4VAY3Y31Jv/oO6c6VVbp0ylpOu1eallNty8q8/UJl5B7MocmFKSy2TjcSRnAzuIAiFenrXPpfqdcvxvXrTyk02Zvee8dLyqcl+mS8qkAIlUNoTuYUlW5ZdCRvUclSSlOec9dcCyl8aXdVlKse45fTPqCYvRmpSTrTLFaprTU80kjvLTcuUp8YjKQVJCOeAk4McT0YsyGjnR/d+sVNoCZ2vJbqdRmmSClx34JKw1LqVgqSlJSon23qOI39A116Ium22qzUtMLpRPO1BKXBTJGoTk+4+4gHw20eMpSWRzyolI984AiuvSX1ryOmVWuG29VKe47a91VaaqqpiVZLv1bMTCip0FruthWeQkFQ9ArJEQTwOYsPr36iLfvxq5bjuA3LTZl4iaobzaGmFpVnCGdidzRTxtIznGFbsmNnYU3V+tzqzpNarFl0KlSkqlE/WG5BpZJkpUjBmFqV+ddUtTbO4BPBT5cJMWDolwfRsaT3A/q1a8/QlVhrfMS7MqubnFsOLHPw8qrKGlHJAwlISCQCkR7ov1Z9OjdQvDV24pyiWlVa06JWTo0vIlM58BLAltT6m0bXH3XFrVgKKQkNgHIMSQWUqFw2FqXXLz0GqTC33JOkMJqjC0FKHZabS4nDavUoCRkj7JWg+oihHRJYtX0z61qxYVbcddmaFTarJl1adoeQlTJQ4B/SSUq9uYkC0vpQKfUbup0jdOlktRqTOTSGJ2pt1EvLlWVHHilIaBWE8Egc4Bx7RvKprX0xyXVjQdcaFqpSRLz1tztIrZDTu0PoLRl3j5OVKRubPyab+eYJ5lVet51aOrDUUJWoZmqf2P8AvZKRa76LcFeld8YOFG5Bg+x+EZjK/J76NLU28Knfd73FIT9dq621zsyisVdgOKbaQ0ghtpxKE4bbQPKkZxk5JJLfp01y6VdE6tqbQLbvuRo1tzVeYmaC265NTAdZ+r5dLikrdC3FfnkujzEnjjjECEuJLXTPbPVLbE3Xnuoy8aZVaW7KM/BIQ+26tp5JUXFlaWmwlG3uDkcDG3Bz8wb+mKK9qzcj1q+GmkKr838EGhhPgGZUUbflgiH90dUnUZqBQ/qO89V61OSbiAH2WvBlEOnHIcEuhven5HKflwMR/LPrXPS6lzSVkutgbE4IAUBjMWjzKVHwZK3Ve42NdKylTJUQxI5OfeVb/bESfFNJcTmWCht5SScExLXVgo/w4VzBJPgyPfv/AJK3ENrJ3YHJ9BGtz/jS9p5uj/8AT6H+SP7DhyoNY2tyaGyfUGGyBvXuWoIJ9MxmGGv5RRJUP0RHjrKEAONlRwckH0jE9IzdZR9oOc4hEIV6xmVAjPvzHqUhWMqIx7QB4kBIOYxVkmHrcwpKcCWST6KjB4qcG5TjbavZJOf2QAg2ARgkAfMRnu42lPl/YYwVtB4I/tj0Hg5gBwlxBSAvJ++ElKSlXk454jFv7UIOL/PFQ7QA68Rz9EZP7YyWS4kF0HI7Zhql48CHYXlIJEActqPWqhTbSnJSUeUhuolth8JZStJRuzyo5KDkDlPfJB7x3PR4R/Ar1QDnH8HKVf8A9mG0izZU2p6VvKZdk2X21IZmUMh5KFn+cDnbnPfBHHOI6Lpdp9OlNIOqREhMIdR/B8UJU2kgKR8VwrHYE4HAxFWaIrRb9Rp0jIluYZSpS3C5k+xAx/VBGlZmkIaS2tphRQMZWg5giCS3H0ctRYmeoyealqiH8WfXiAhkN7R8OMHA/qzFbbMuOXnq9TZGYq0yVEnl4rWgKSgkJAz3JGB6ZIzxE5fRiNrR1HVLdwDZldBwP9wEVetMrVc9J3c7ZtpOfTG4YzBBlhXH1rO7gA9uMRhuPcx5t28cce0ZBIOB7xcyYo2kqGSRiPFbs5SCMQr4ewJQASvGVDMLBp50pQlj7zmAGzLTj+4oGcHmHHwKyMJxk+5xGxQ0hpkIQMe59YUUjPlSO8Aar6sfCVLWpsAc/azmMm5LDfiLA47iHz2FYbSSecnJgeIACM43kA/d6n+uAGrMmhxOVD7R4x6ZOP6ozeYQwlbiEnIWGhntwOT+vEOmW9rQI4AG/PqIQmmlpDTW5SilJVz7kmAGxl2ky5dAJOxasn5Yx++FZVwNAKXlII4z95hw9JpQyck5QhOD8zkmGU64C4QOU4SRn32j+2AFFzCCTkHGPlCEu6tJKQEqIGBntzDdbisxijlYJgETTr+rZSNLN3rZEsOP/OuwnSemK7K3bVIul+9bLpErXJVE1JNVOrKl3VoUM4wpGCRnnBMYdQmE0fSoAniypb/rnYmqw+oDRqmae2Vb1yX1JJTRqV8JV6NMWpNzq5lezCW239nhowe5G9Ku3HePWp0qNWvPvnjgscceB+IuL2/stLoSsIttykniO7hmXk8cSILR6drquSz5G7l3daNNp8649KsuVOpljeptakK2nbtVnaSMHOOY1VvdO163SmsVFqs27TqPR51cg5WajUPAkX3kkDDLmCVgkjnGMnGc8RNlia4aSSGnEpbTF60q2pmTq8/Nok6pac5WEsyjkw6pltPh7UhQQtAKkrV2xiOOTeWk1+WA7pVd19O0BNJr0zUaZWWaM8qUnmnXFuK3S48zR/OqwCeBt5JyIl29qsYabx44y/8AYyhq2sylVU4uKUsJ923iOeaXDc/f4nMSnSjqc9W6rQp9+gUz6olWZ1c7OzxRKvMOKWkONuBBBALas7tuOMxor16e7xsT8nFTlctupMXXUBTpGYp06t9rxN6EZUrYBtysDjPYxIMtf2iVrUbUi37YuuuzjFetyWpsg/VGXXVT002h0KDYS3uZb5TgOkYycYAxDCiXzptVbG0ctir3eqmuWrWJqo1g/V0w58OgPl5tI2owsr2geQqKc5I9IzdG22uOePt88Y9x1en6rGtveXDgsd307tvPVr1ljH5GvuLpK1BtmkV6rzF0WlMG3JB6oT8pKVBa5lDTbZWfJ4YIJA43YyTHI2/olfNy6a1jVKnMMKo9JUtLjbrykvPBG3xFNpCSFJTu5JI+yoDJESsjWew6lcutVVm6i/IN3tRHabR0LlXVmYd8BTac+GhQb3eU5WUgZ9OY763uorp6sylW/p9KTtZnqBJUtdNm5tqSeRKKLuC+t1laEvLVuSo7koP8orGcmNFb2k5/ewuPXrngcstV1y2pYnSc55i3iOPV2pyXtzwRAOn/AE3XZqTa4uyjXLZ0vLJStyYYnKopL0shK1J3OpCDsB2kgnjEaa9NFrosi36fc1RqlFnZCp1J+ly65B8u5caUpJVnYAUHYcEE/dHY6eXdp7YlM1dtwXQZqTrtNNPoLxkH0GdAU7s3AtgtHatGfECRnPoI6m3uoKg2ToxadqUNuiVGtSk++Z+Sq1IefRLMrdWpK0LwlBV5k/ZUTg9oyjStnBbuDxxec9fA7al7rFOvJ01ujuWE47eDju546Ph7eBG9f6b75tld5CoVKjq/IeVlpuoFuZWQtDyN6fDy2MkA87sc+8cvbGnNduuz7ovemuyaafajUu7PJddUHFpdKgkNAJIJ8hzkiLUS3UNpKjUHUasM38xT2Lil6azTKg/bs9ONqU0xscK2AgKICuMK2Z7gkcnQaja16K1m09R6LalTaTPXBRKXJsuNUh+Ubqc4y4+XVgFOGwErQPzhTn0J2xrK1tvvRksceGfbjr7Dkoa3rDfdVLeW57Hna1jO3cmseb68PyNFbWhNFLqNK6jYS6jfz1EdqsvVGKqtNKaYfyGHpkkBxC0KTt2IQoKOMkZJTX+pUact2637fnltLmKZPGUdU0SUFbbm1WCQCRke0W/qHVVpfTLrtFq16mhEo6mXRdVZ+rphKxLMNOBqWCS34iwHFk5QkjnjO5WKpXjU5Ouah1qvUmZS9IztZempZakKSVtreJSraoAjIIOCAfeM7yFCMYqk8tP/AG/U69Ar6jVqVHeQcYtZ4555efYnzS8OJ3/VYtA1yroWsJxLyYyVY5+FbxEOtpTwVEbsZBBiXurEka7V87EqBl5EYUO38Vb5++IiDbhGcHgY+xHFc/40vae7o/8A0+h/kj+wAEqO3H64UJcCDs2HaCo5PpCA8RtW8EcdxDyYmQtjYEIAUnnA9feMT0hirBJ29vSFEA7c+3MJ9/WFmDhSR7nEABXg7YxAK1kdvmYWX+bUQjIxng9wYRW6VHBHPuIAyLQUeCIwUkpODHoeSj+U4MJKcWVdhg9oAUQccn9EHMNozUpWCR6xjtIEAetjcsCHKl58qeMcQgwPPuPoMxlkqUVfOAObvyZmZSUlvhWA4HFlKwARjjvEs9L6UMaNdTLacg/wchShjn/KQP3GIvu51xqUa8MkHnsnd6RKfSEqYqGm3Uw8aY5NI/IFtlLaEuDxdsyNyQU4IJ+RzFWaIqKzUFoRsbSyQD+lyf2QRJCLbtarbpsVuVpas7VStUlHHnm1DuN6ANyfYqAV7+8EQST39HPSpeW6hKk/SZd5yT/I2tuNvnGSksbSFcnHmGBnH74rtY9FlKjT0OSE3Sy40+0+W3grxwlGFL2EeVPCf0uTnjvFtfo0dP7XGsFwVJd3FNZkqHVJKTo6pYqM82tpSVulwKw0EYTwdxJXx2iq1rPNT98P27UmbeokpT1vIKCVN5cZyQlLgyVLUtKUgkckgHAggzvpeW+IcKRuSnPOADj2hV2QUwobl5ycd4A58M546MkKUUlMOZ0+LLIcHZShFzJjB5xSHMKJUo+vrDyVQ400uYQdy8YAJhvON4WFgcYEOpFYCConAx3MALyi5layHUA/1CFFuq8RYSSPDPeGBqBR/JE5+6HLaglnb9ouDJPzgD1KS4SvJ8vP3x6EmZewrlP2Tn3PcfqH7Y9bIblipXf0+7/XEKSbag2olPnJxj5qEAKtArCUcnxF+YfIc/2RgUKmHy7k+Z/wQPbA/wBBh20lDSlLTz4KDz+Gf3CCVaw9JNZ58JT6z8z/APMwAnOctzGPMStKEgc+g7Qyn6c220h4qPm5HtGzc8NCUvjv4yj+oH+yNcqbdXSUIU2MFWAod4AYJk0uqCVOjB9QMQoumIaAWleR65JjxL8mh0l4OhsI5Oe5+XEJuzMo2sqbZW4MHgmARLnUQypVH0sKE5xZUseOf9udiQ9Lega4tV7HpV7UXV20pZNQkUT70msOOPSSFgkB3afKRg5zjsYj3qCU59R6WYVtCrJlAUp9B47h7xM30eZR9Xa0JSpRKLUbBz7FMyRgRvdf4r/L9keXoeHYwf8Am/8AJmotzoGuG46zdFMldWrS+DtcSyJmoBK1S7iXmi4SFA4TtHByY19wdFlVp95WfYtN1dtCtzN3TkxKNOSZU4mU8JhbxW4EknCg2UjHrj0zEvfRyU92q6K6p0uXtqk3E5MzjTSaTVlhEnPFUsR4Lyi24A2rsSUL4J4PaOkmtOq7anU/opWZjRDT7TuUfn6tKKbtKZS98asyDi0qeCZSXA2BB2k7vtq7evPnB66SZBeoH0f+oVpWvV6/bl9Wzc79vNqfqVOkXVomkNpBKiEYIKgBu2qKSQk4yfKY9v7pavzT7Re09b11CSqlv3NISU86iUSvxaemaZQ60HQRgg7tpUnsrA/SEWZ1k6l9C9EL21QkdOtPq07qTcLjtNq1RfcAkS9tx4gy6o4G4kBKBkjBI7x3cnq/Zmn+lHTrpzqnJUt+x9QNP25GrKqKEqZZcZkacWVOFXHhnxXUqyO6kqyNvIOKawUurfSlfds6Ayuv1dqsnJSE85LBilraX8Upp50NtuqONo3bgoDvtI9TiHN79ImoFn6lWhpdIVaQr1UvSUTOMGXbWhDDRV5i5uz5UgFRPbCYtJ1Dausa29FtzXvT5ZDFLN3y8hTEgbSZRmeaQ2tQ9CoDdj03Y9IkjqB1as3QajUC9pSRZmdRripUpbtHDnmLMoXG1vOKBPlQkqBOOVrS2nsCUglxyU3meh28mtcJXQ78tqH9YTVEXXPjhLuhlLaV7NhT9rdn17RxOlPTVcusVZvaiU25afT3LEYeemFTDTikzHhrWjCNvIyWzyfcRfmcV430gNFX33adunJGc/xgxzug+r9hagVvWKg2poFbtiztGkJxM7U6Y60p6qEOPoy6ES7RHmBXypfKj95DaUh6cOnC8OpGs1KlW1U5OlS9Kk0TMzOzqFrbClKCUNAJ7qI3H5BB94j+4bBuC2dRJrTetttytXkquqkPFWfDDnihAWPUoOQoHHKSD6x9DunKkWf0zdM1Enb41Dp9j3JqC83V1Tk5LeMtLYKFoYDfc/xfAJPCVvqIzwDyfVBoFM6qa+aW6raXPyM9R7+clfGqIX/Fy7LpD6Hdw5PiSzaykAZJYIOMiHAhxycOr6Me8GqmmjHWqzEz7qPFRKFl0PKTydwRncU8E5x6H2iql02i9Y9+1Kzp6camn6JVXKc6+2kpQ4tp0oKkg8gEpyM8x9Ap+v0q5PpNKK9RZluYZpNvuUqacbUCkzLbMytaRjuU+KkH2IIilut9LcXrzfDy1f8A3rn1cJPH8aXjnt6xMeaKTSUWx91aBX8O1bCSf5CRzj/ircRCH1Dgk/riZerZloa0V51a9zpZkcDPcfDN+g9YhRXMbXLzWl7TztHWNPof5I/sLKWVDB7R5z4fPaMmvEUMNthXvkGFMOpG1zwUJ9hGJ6Q29RiF0YxC4p7rzfitICk4yCPXnENgSk4PBgBRwkpySTxDfGVdswsteEkGEUKAJJgDBwbjnGYEb9wGPL659IyZUFqAzCqkDuIA8UhHZHaMdg9oWbbCs4IyO4hVEmVcoK1fcIAacDOMCBPbiMphhSFY4z7ZhFJ2d4A1l0S7TsowX5hLKEL3FxSVKCPQHyjMSx0hpcpOl3Uc+xM+E43p+hYW2Dwr4n7QSPf7vX9UK36t1FNYLSxtW4QU5OTxx+2Jk6V5tpzRbqSaxteZ09SC4ByR8V/bFWaIrHPNz09NuzU2w488tZ3rbd2ZIOOQcYMEZCfIHlX43upDmOfmPeCIJLrfRa27SzqLXr0qZcmqhPUqpy0krzJShhDYLjmMDlaiAD6BJHeIxu3p5o1Nr05erm6UlUKM8lpDu9SnNmUJT6hAURnIUTgDI7xMfQlfrcxrI/btCtEUyQl7XrC0KKVeQIl07UhSvcJTnPJxkmIVlNX7lmqGqWmZmhyXx4+HdYmKihb2VDBCEIC8k445Hccc5Eohmk8JRcCEMuJR3JKSB+2FfGQ26WMbkAeXn1hVS3ZaX/Pr3OqGMZhky2X3iAc7ec+5ixljiOHlomU+GlJSpIz7wxdcWG/BxgJPf3jYB9Eu6tpYHAwIazCN+VpGIEiDCS64EKPf1jaZSSlsHse8a+VBSvPqIesDla18lAJT+79sAOZjapaWAPKcEn+iOTDxgZ8NSuPtOq/cIYS5DjhUTkLGwfIDBUf6ofJcSppavE2rWrafwgBV7ySK1D7T6gB8txx/VCsspIm5pwjhpCG0/LHJ/rH6obuOoeclWgMoQouEe4HaMpZREhNzKj/LLWsfdnEAN5p8pk5dsoOS0twke5yBCDE8n4JMq7KtuAdirPEe1MgNNNIyFeAhPf3VDUqRtbbQPNt8xz3PMAOC0l9G5xKloSRwlvAA+8mMWUSTST4gSFBSkqTnOMHEM1Km9wbTwD7jP9cNvOoODJKknbgccfh7YhyHtLGau6cX7e9vaZ1KzrOq9YkmrQlmXX5OWU4lpfiOEJUR2OCD+MR1/AZrpLpc+D03upsOJ2r2STiQtPsQO4jkZC+rvp8uiUlbsq7LLSQlDbc64lCUjsAkHAEZuah308rcm9K6AP8AfB7+9HXOpRqPdJP9PkeFb2mo2lPuac4OKbxmMs8Xn8R1Unohr3KhQktPLtlt2N3hyrqArHbhP3w5Vorr84tC5qwbsdcaO9papZ0ls+pBPbiONF/X4QAL0rv/ADi9/ejM37fQ5N51wn51B3+9GeaHn+nyN9uqfip/DL+R1s5oRrZMufEHTO4968FRMisknPJJ9T3hdzRDWyaKW39OLsW3L/yYMirAHsnIOPwjnqbqHe6lJZF1Vpxak8FdQcAzj/hfL9kI1W9b3bmVuflnXkheNqPrF7gev6UTmh5/oNmqfip/DL+R0B0L1vXLOSa9N7pDBVuCPg3Akn329s9uYR/gK1xecSqb0yuh8t8I8STcWUgdgCTx/pMcyL8vxweGm8a4o9/9kXuP/ejM6gXwXE5vGugngj6xe/vQzQ8/0GzVPxU/hl/I6tWi2vZm/iRp9d4fQMB0yzu7b7bu+ITRofruxv8Ah9N7na8ThfhybidwPcHHcGOXRf18F1Wbzrvb/wAYvf3oXN93sGlq/LGt5GMf4we9/wDhQzQ8/wBBs1T8VP4ZfyN6/ofrs+EImNNbpeDYwnfJuLCR7AHt2EKs6Ja+yyGvhrEvBlTOS34Uu6gIJBztA+zkEjj3McmvUC+Q7t/LOu4x2+sXf70C7/vkDP5ZVz/nB3+9DNDz/QbNU/FT+GX8jqpXQ7XmT2OSmm9yyy0DAW1JOJV2weQM9oGdC9alTrUxN6cXS5h1K1LXTnSftAkkn+uOaZvO+XWw7+XVYSP5qqm6D+rOYX/Le8mxuN6XCvHomddAP4lUSpUF4/p8iHT1RrG6n8Mv5HcdWfht671xC2iXPBkQSVEY/ircQufSNtP1Z6pTKp+oqempheNzs4+p1xWAAOSeeAI1qmFOco4TGNWfeTcl1O2xt/RLanQby4xS9yMmkuEhKQcHjv3h6mVTLgFUyy0TzkKCz+ocwmy6GkBOE5HuMxmt5KvzhwCBgcYz8sRQ6h9TVNtuOKbfDvkKlFSCkBQIxj37wlWJZozhW0kJBHmI9/uhqZp8o270pSecI4P4/qhJyYdJ3ElZUecwAm83gfb7fKERgDvDpxLakZLvOISbQ0nHihaknsU/f6/dAHrXh7PIpwqHcEcCMldoMbQQnjPf5x4Dj8YAyaeca3FsgFXuMx4p50/acUfxxHhHGRHnzMAZ+KVJ2qTn5+sIlIUe0ZFXHEYpJzAHIahUqr1BqRRRmFuONrceWeEpQAn1UcJGccZPJIAyTEzdJMtUZnSXqSk5htkzKtO20FDDqXFD+NfpBJOD8jEUXnLomZWVC2EOlDxXsdUS2rA4Ckg8jODg8RN3SpKTZ0g6i5SankALsLOJZHhJSVTI5SkcDgAcAdh7RVmiKnu0pC1lTku1n0KxtJHvgmCOgfp9CDnhzjxLjYCMuukqx+uCIJPob0F2hofVr0n6vQazNTd4s0Kfl5uVmqgVusBadiztPDqT23J7E/dEPVjRH+Cqo3XTpao/DW3K0/iSU2A98WEglDi1ZVtSpAUAFDJUOCDzp/o06Y5MdRk3XKZTS1TXLaq8sp1pvc2054CSAFKyQo8nHsY0mtWoMtOVWX08pNST8DR1sqqS/EA+ImPLsaSR9opJyods5/mmCDONm3luOknBUs4wDn7vvh7KNCXayO+3n3hkzKqmCp470JGSlQT/AK/6iLY0bTnT+bmZu/5y95Jm3LYqM8blpLlPYQ6z4Tyyyy0EpJUhwbUDupWCEkk4T0UqMqzxE8zUNQpafBVKueLwsJvj4cPHkvMqXOOKE0VpGQTgGHaZtlbGx0Ag9ovz030HTWv2fed01DTi1lImNThTGEzVmv1stSK5aVyw2iX87GSVK8VWWm1KUSnBAGMzo9YNBVflOVp3Q5NUjrDQpGXbLTcyWpCYXKOBlLhTkNuIe3FvsneUc4MZtJNpPJ20s1IKUlhvp4Hz+UNpwnG30hZCgEHdwSOx4+UfRvUvQfRx+U1v1KsSlUMS1Csev0iepS5NsGj1xiWS6zMy6MYb3NebICSDyCdx2s9Mej2gVDpP/JqsWe09fF00t24mqypLXjScyChcpKpUT4oSpCUBSUgpOXckbgIgttZ8/GGww06QclCQjPupXJx+z9UOJiXVluWA4QnnHOCeP6ovBo9o3pTeug2j9qXLSZCmX5Vp+q1aSn1yyUioGRqpExJzCwMubmXcJSrPDfH2cHaXJYNnWXU9b9R7N0oot4XNbldlKbTbeep/xMpTpNcowszIk2sFYUtawcYx4ZIIAXAYKGts+EHwEnErL7Aceqjk/wBkOG0baWJdHmPlSce5Iz+2L86VWfSbgr9y3Fe/TnQrEnpiyG6qmVnKQuqSb0wFn+MopreHUAEAFhCg6oYTkK5isvUk3LjUdhiSpVDlGU0+XKTSLRm7cYc8yySZWbUpzcCMb84Pp2MA0QhVQVzbjQcACdqT8hgmNMqZe5SHlcegja1haFOTBwobniO3JCUkfvhm6wN4UU+ZwbgIFUetOrCEBQKeM/OBLKN5UFElXJzCyVqWgICRwADjjEAaUkg8frgSM5xhRdSlCST34jxDDicubDuJ2kRsD/LoJURwRx90Izyw2tJbPHriAMEo2JGO/wBr3OT35/dAZd11QSyEkgcA9z7xjLPFbmCknIh0l5DW14gpxn0+REAesNuybSdzmClfmwr7uw+QzDuthBYl0pWVkA8q747/AL4YrW29h9K1eJ6HEP0oTMUl9sthbrQLidx78HA+/j9kAacJUnsk88wKQtecJPHeLUW3ptp7U3X9Rpi/ZEW1bc7O/lPSnafLoeZebdUWZdoBGS24NiAMlSjkJO44RM3Tjb2mlcsm5LiqGnVsKRN6luUthqYtB+tFuSUy1hhtLGVS+eT4y8stkqykAgDapQlSipSfM8+11Gnd150aafqc21hJ+HHn48OGMeJ87mxtOT39vaFlqylOD6+kfQ6l2joFNXPqPQL30sp1KXojWHbkYbpsu0o1KlqaU6iWfVj86NxSoIUfKFITnCVQ/wCneladXzpbR73uLS+z23bovebkXGE2U7U/DlXHCluXaXLJAlUp8o+IdHhJAUVAZyMT0cHzYcB8QnacADPHbiMgnPBHHbmLdXlR6Fo7p3VbxpumdqTFVoGvVRo7ElWZITsuunKor4RKuEFCnGkFwOITuADiEKIJSRCHXI7QKTqRLac27p/ZNv0qmsSlTRMUqliWnphx5o7kOrQraWweQNgIIBJgGsFW1ESjaUo27lp3AlIByf2wm5M+IyEvKeccHYlZwI2Uw1LOzDqXkqy0AG9oyCnHvGucKVEAowMZECBkCoHKgB+OYXZAKhgwm9gExnLHzDj0zACq0wm4oJTgn5w4dDaUBSXEqJ7pHcRImkVr0C8XW7YqN0NUKp1NydZpLrsk08zMTiW5YtNPLcBKEEKcACRklXcdlWhB1JbY8zG4rwtaUq1TkueFnh7FxIyRnGcY++MVqBB5HEXQsC0NN5XVzS3SadotDuKp06uOt3LOLkG1NTEw5IPufDAYwptBSk4UDggdjuiVdRNNNM5+4dJqrL6cW40lzUpygTzktaz1GZeZ2PLRLrlZkEzCSlvl8ZbUpslOAraJqw7qex8yllcq9oqvFNJ8s8Mro8efTqfNgkAbieB3MC0eQLIIGCc4xF67Wue2qXp5r1UhorplPP6XXJNytEcnbeDheacqUyNswQsFYQnCUbNgCUgc4jY16qaS2PoLYldqEhpDRq3X7UfqXwlcsWYqMxUpgIylLL7DyAyNytuXN58yTng5odajkoLkJHmODjPMZEEAnHt+2Po/ZOnWjEhVqDO3Zp9RJmksaNMVioIFOaUpbiXT4kxwnJeKQfP9r5wwR08acWHL6MUdmRoNzUy4dQn3pepLk23F1CkPykw9LtPKI/OBI2Aj7JKAoAZwA24PnZu5wOfujIqCEnOQQBjjtzzF5dfJlFn33a8tZmk9iXGE3e5JJo0npVP0lc21lbYlFzk0pbEyVpJwtpIG5AdA2AiNX1oabWXovp1J0nTLT+REjdlcmpmsV1zwZt6mzCCFClsuAEsISQeE44bUCTlWRGClSniQB84ArdGKhgR4nMCDnr5nmqfJSrzqwgF1XJ+6JW6Vaw/P6O9TTrKVIQnTtJbykjn4nvzEH6ruLSxS1JP2ZhXHv5YmfpHW6rRXqZccKyV6fbhyNp/jIzx6GKs0RWeo/Cl8FEq4pZQC6pTviblnkkEADEEP5W3p2pMJnGXENIX2SrkwRBJ9DOgLT6n6OT66ZUVtoui4reqs48ocqBbl93hD2S3kZPqpR+UfPhE5OVy9aXT5Z16aTLvIemXMk+I9uy44f6vwz6xeDpNvB28upqZqVUdkm5tqza4wxLSyyrwW0sq5WScZ7fZ45ivOgWjbwtuoagTk+tl9mTdUlgNpOcoV3Uew2+o5ypQ9OSDNsykMM4cWSkDBGMc4Oc+sdsv+FedrLtvs1KVXUZqa+GXKiqU9Tr0x4hTtUnxMqVvz3zyDHCVOYIaUyjJUQcjtjvnH3xZKk6/USkSNUmZmi27ULnokzOiz6uVtpDTEy6sr8YcHKEkKTwd24g7Tkq6KMYSfryweXqNe4t6alb0t7zy8PB+zPPyNXpVp/wBbZauKS0pbueUlpOtOS9bRJXLJSSUVPwWlKCguYQFqLSmfOgFJBACjjh3StBuuaoytQFDpFxPtms/HVAflVTxmpsLH51ZXNZU6laRhfP2RgniNzZWvtmWXobeVOqtDtK9q9WdQlVRFGuKmmcl3pVcm0kzYScJ3BaCAc5GTx6xzWjGqNqU20tezXpynUCbvalJFFpsqytuXS4p+YWZdhKQQ2hAcSkA4ASAIzljL28jupqWxb+fU1a9Mer6XrM1JP0u5nZzU56cos8uUr0pNIrLrIW3MS804y+ttO0eIlXjKSMBfOAccheN/a129fX1nX9Qrhaum3yZBUw3WvHXK7NyS2l5pxSCBuWPKojzKHvFlOmfWjSnRzSZrTu4tVKoqe1BmJpU29TN2y0ELlyhDySW8+Ko7CrZuAVzjyqKqd3LTJak1+oUem1xmsykrNuMsVBgKDc42FcLAUM4IwcHkZIiCzOjl9VL9nJeXen7xqzs3Q5h+dpZVOLzJzD7nivOtHPlUt3zqI7q5hxRtW9UqDcE7qDI39W5e4amttExUUTi/GmEp9HCT5xjHCsiOAmpUsEOA8E/qMbCTV4rUq1jIaJccHfKu4xAjJ3k3rhq7S68/cshqXccvWJ9sNTk+3UHA++2k5QhSs52g5wnsI0t2X5eN6VqQrF7XNUq3OsyyGTMz8wp5zYMnblR7ZUT+McvVXd0+W87uUgDv24/0wvUjmprb3cJTjHtgAfugDWTbpd/OlRO9xasHsMn/AEw/eKC0FFCtyeARGtKcpwTwOQPfJ/0Ru0S65pG1sFJKdx3cAQAwSB5xj7JA49YyIQMDaB/wuIVmJdUqsoc2lOAokdz/AK5EJpcbJAaaKiYAxmkgMpWk8jJ4huW1qBJIUMcbcnn7+3vDyYCHJZSXULbPIT9/EYzAqDaEpmpgKQeEoQcpA+YHaAG0qkh9CTgbjiNn8C4lKU+IgpIUcYhiG3QQpAAx2OCYVbfdYdQt1e4cjHoPwgDJcopO1xLhJBwR9lIH4R63PhsvLbUn+TUeDxx3/fHjswpxOMEpP6oaOteRxKFYBQoYBx6RARIzDeqc3WVUBmoyjlRnplDaZQVOnlx98qwAU+JlSt+e/OQYkjS6wutVyk3BS9Jhc0uJCsOMVhiQuOUkg3USlBc3Bcwjeoo2HcjIORg8RsaPr7SqbRJ2bVRrenbpoipiXtWrKcbR4UtMLPiF4d9yEklPB3EkHb5lGSOmnWbSak2VdlJvi/bXkalOXsK6wa5RXKk082gNnxkISUBLm5Ktjm7KTg4MdFWNOMU4yy3+h51nVuqtecatPZBcuOdz8V5Yx55yuhA1v6YdU81M3Y1SqRXvi5+pi2LlL9Xl2XZuccSFiXmC88C4FJWFbzlBCvtcx19D0g699N5aRsu3pG5bflazMOsyEjJ3XT2W1PltbqykNTWEnY0tW4kA7cd8A9FrlrRpdcmmWstKta7Hpmdue+pCq05EwlfizUu2zLJddQVDytpUhaUhRBCUjAxiH1E1v0va6oNHb8cvSXFCtvT6SpFUmvDWUy06iUnkKbUNu4kKebGQCPN3jA9N4XUgiT091/vdi6rIk5e4aw1aU8/cFwyDs42hqUnENqbcmXFTDiUre2BYykqWpIOARmOinNAuq3VOkSOqlRsipXHKVSmNTctVp+4acVvSXhhTatrkyHQkI/RIB9MZiyFH60tO7tlbjpVQkqbQZquWpWU1uoIkylVSq6C1LyKUqSkqUFSoWrzfZyE58uTzy9QunW9enWyLNrl+6bSddo1kIozv19Zz1UqMjNGWSg/CzIcbEutKhkEBXnAV6QBWqQ6ddeqnOUKTpNivPrumRdqNHMvUJNyXnJZCQpSw+HS03gEZS4tKhkDGSIjicpU9TalMUybS2t2UdWw54T6HUhaFEKwtBKFDIPKSQfQxdjSrWLR+zdAZLp8rGr1QYnLvp0+/O1ySCjL2046hJTJpJTuUlRCgrZxlTmCnckxSeZbFKqUxLNzbM0hlxTYeYUS05g43IyAdpABGQDg8gQIY1dklDzPOJGfaEmvIRj2xDjwysYU55c7sEZ/CE3AN35tPl9SRAgFlJBOAMnMbihPXbLyvxNEnpeXlviFrHjTkqzh1KUFRSHlpOcFvJH9HmNEtxAISRuJ7AKiUtGr9l7LcQxV6dSZ+iVFybk65T5vYHHZJ5EuNzalchQLaiMKGdvOOCLU4qUkpPHmYXNSpSpSnTjukuS5Z8kN2pTX2QVbl9Ug1PfUaopihT9Km2HXnp9QUghv4dZWVlJWnJGDlQz3jutVrO63LRlaLfWqk/d4Zp020uQnXK6ic+rZtRAQVeE8vwHCVAblYHmA3ekdLROou3rc1ks67VU5r8j7RqglaTS5IJW5KU9Uq6wuYwDjxMuJWRkkhO3vzG6qt7aH6Q2Vqmu2dbZzUSqapuJZYpqqe6winJceUtcxMLcUre42HFYUACShI2jJKZqxgp4g8r9/oUsZ16tBTuFtk+meXgn5459CIKnpV1VW1S7+YrFKrFPpzaGateRerkoiXf8Xc8hx5Qf2TDiipStiCteVcpyoAvr16curZdnSlevq0Ki5a9r0tT0q7N3HTXW5GQCQsltHxJWlG1IO0JzwOM8RPXVbrpo1r9p/V7Bt3VBNInLd+FqtPO1wSFxueBtUw7hvclxsghJV5QraecZSv1C6kdPGpenM45R7901drrNuMSzBmbOefra32UhYYZqJcQGQpQ2DLagkKX3zFDrx5kGq0+6yG6o7bHhXOJtm1QVhVwSolk0DJwkTRf+HLOedgcJ78d4iaR1R1Io0lR6LTb7rsvJW3NGcpLLU8sNyD5CgpbIBwg+dYyn+cfcxcOp6v6NTnT4OlpnWmcRNS1vImBdKkuCRem0v+J9WHyeIWMYT2A2ADJ5TFHFyilAqW4lSgo/ZPB59IEPgd3O9Reu8+/KTk9q7dUy/IOF6UdcqTilMOFCkFSDnykpUoZHOCY5leoF8PUGp2y9d9XdpNZm/rCoSTk2tTM1Nbgrx3Ek4LhKUkq7nAjQKSRwoEffAtBSkLwQk9j6GAMCCY8TxwYyGCIxWMHvzAHKag0VdUYknd5DMs6p17BG4Ixg7Qe5ix/Stalot6Ma9zlv1VyflKjYKWphChtdaWJgbgUp59eDntENS9n1q+qpT7YoEw21Up54tSzjjwbCVlPlHIwc4x+I7d4k7pLVU7b086kXWpZpmpyliAlTRBYecTN4JHpnOQR79oqzRFf5u36ch3ZK3JMttpGEoQchPyEEbqSvGk1hgTk1JvU6YyUPy6WhhLg74z6QRBJJH0Yrk9WeqCfmZx4LcetCtICz2BLI4A9hHX37dH8GOntKtyWSypc6hFPW8tO1O3ZhSwM8H178ZEdF9F3p5LSF+OXC7TZlVTdotUYllKRjLamkg7U9zuPAJ9hj5xlr1or1S3rcqJOjaA6gPUynJ2NuChTG1xZ+0pPl7dgD8oIHDfWtOV5vrKVJPJ/PJ/thxKvsTOVMvtrAxnaoKPcD0+ZH640kr0ndVAd3v9PmoH40KZP/wxMWmHSjrvLSjaqto5d8pNTbgSS9RphPw7WSAo5TgnhagPRSEZ+0ItkrtOPek5yXYa8WUfb8c/mipsgLHfKff8I9l5CoLSt74J/YkDJDSiBntzjHt+uJouXRDXCp15Xw2jV5CTp6EykofqWY2pbABWU+XJJGBkei1jPBjpj0+6wtUyRpQ0uudaXFiYm80t4BROTtztwAEgpGfdEMjaV1ZpdRHxEwadNBuRZMxNL8Be1hv0Ws4wlPzOBxG3d01v0TLNFXZdwNziJUz5bNLfDoYO7DpTszsJQobsY8queDFp9FNAdRay0qUvDTasUwXPdEvMVNU5T32iqmSIywhRwA2hbomDtXztdIIwpMWEurTO9pal62amUumzztz1amC3ralkSpUsy7UqUMlASkrCVOzAKvtAFpasgE4jI2nyvdm2BJKmHlDwUu+A47+gl3BIQVdgohKjt74SeOIYy9VlJJ9iaFQYWytZ8NXiDa7gjKQc8kR00v0c9UEjR63b7Wnd31JidQqfm2zRn2ULWlRO9suJG5QKjhI/OEKVhOCYa210pa3zWnU1a9w6EX/LTks6p+TdRbk0shauxSQ3nuBnntDLG0ZUVDl03JIU2hNqqU9Pv7ZeUk0l555QySlCEZUogAnAB7QrVEuM1KfRNNrZelipL6HUlCmSD2WDyk/IxKvR3pj1B6G6w0S+bo0C1AVTpN52XqrDVCdWVhxh1pqYbJRnCHHEKWEclKQQDyCpWNB9ca1b18XG5ote6azUCkNS6KFM5mFrdUFrQFIClDacngfqicjaQm67LtTknLPvtoVNNtrYSpYCnUr5SpIPJBzwR3jqqsw5QVj6xlJiTdLqmG0Ptqb8Racb0DI5I3JyPTcPeOl1t6QtcajdVmnT3S67lylKseioXNzdKfbV8Wy2EqbIQhW14HaSg424OSMRurI0w1vZfkbduvp51SnluTZS7VXKO4Wmy44ncopUgAJG1JKhyQkewwyNpGsy+ytTb0xMNNOM5DrLvkUMgYBB57kfrEP6fK1V9DxptJqU2tr7fw8mtQaVjkEAZ/XiLUUnRW6n6jNSA0OrTCmShRnH6CQHlduFbcqIwMfI+/Ae31pXrIm3HZa3tL6/UJpS0huXEmtKQM5JySgAYB9R3iMjaVEnaRW5aRU7PWzOstBW5Tswy4EJJIHtgRzjtVpk4vZKzbLh5+w6DjAyex9BFtqTpX1GN0RbFz6bXGZl1xzDLFLUpCUE5QSUIzn5JUP3xE9+9OesTz1MmaBoddwMjPIdUiVt6ZQHW3UeG6pQ2cq5Bye3PfMTkbSOpVp92XbealXXEKTwoNkj9fYwg6VEkGUcGDjlBAiTmunvqLaDLJ0gulqRQgFTYpE2tzPywnHf5GNVP9PfUQa8W5bRvUmZaCgvApTjEsge2SgKXjGfXv3iMjaR9MEy+A6PDycDPGfujAsPuJSpDS1JVjBSkmJKrXTjriKjLTqtFbnWrCR4htubfeGCcgFKMIGOxjaM9Peu/hHGjV68KSQk0mYQOD/RTnHyPfMTkbSKqfJTsy46zLScw642lK1pQ2SUpOQCfv2n9RhKdWKeoJqavg1KwAmbX4RP3A4zE32VohrXQavUpib0fvdpDknLpSRQ5lQUUuOnA8nPC/2xrqlpFrhIPOP0bSC/ZMhZK10SyFofWST9p6ZbV64yUpiMjaRDUpOekpJE65IutSpCl+MtlSGikYOdyuMcj9cM5Oqyi5lmVE5LqW8Qlvw3ASpR4TjByecD8Yk+6dIeoer0lVPPTpqK4iak5yVdmZ+UnpmZSXlMLS4nakpBCmEqKSkJ42jaCYjCp9NfVA/Is0qQ0D1GDTSfDXMOW48FrSlZWkYCTgA9uc8/IRORtHcsZtSphiW3LW0VIeCMqKFJ5OfYj1htWWHKM863V0GSdl1JDzcwPCW2SSBuSrBHIKefUER29f0U6tq9Is3AjSbUJE/VJFqlT8v+T7yHW1obWku7ggFSFg4O7JHir5ASkDtdPej7VTVOhyE3qxp3ddC+CptQkJp1dMmRNOONNtuS+WiMrS4EBIKUq/OJVnG4ZjI2kKtuFY2pWlXkDmQQRtIyD9xweY9W284ChtJUQrHAiw3T90mXxTZq4afrDpZfE0zbUuzJ05EtTlobqja3Fq8jhQc7QEpVjPlIxjact7y0N1Tqs6uXtjp0uelyZKw02aXNq8pWThaynPbGT7xORtIIDEyEDLC+P6MYssvOvJl2GlreWQlKEpKlFR4Ax7xM7/TxromWbaTpDd6CgBBQ1SH8Jx3xlPb90IUXpx11RVS6rSTUF9KvzpZcpq5VkAIVlKF4yPTkgE5PrDI2kZC3K02cOUmoIURkj4RY4+fELN25WF58O36g5g4OJRwlJ+fli1EroxqpUaazLt6YXNIgoSUl+mulxAx2IIOOMeuc5yIf03QXVGlyyZZFoXVMoT9pa5J0KX7ZOOPwxDI2lS3ber0shS36FUWm0DKlrlVpSkepyR2HvDGat2rOtKmk0aeCEp3Ffwy9pTjOc4xFk9ZtD+oKqWs/L2XY9ztTjm1IUiluOfgQUK4PIyBHPafaVdUrdsydPu3Si6VTbSlI8X6reSrwweNw8xVx68HGMgGIyxtK2TK2pE7phxDQ/pqCc/dmMZaoyD7h8KdYWcgcOpPJOB6+8TbqN0na2zk+kyWltzuyE4lze2zSX1+CvhSU425CThRCuw+zxlIiHnOkfqcoFTclqfoffE8yXEulSKFMD7KTjBKcEjPb3EMjaLyLbM/xLhTzgO3DeVkH54hw9JT0ooImZV1ncQEhxBSST8jz6fsMbykdPvUtLIZ+F0PvpEwjKsuW7NJDiQMbFK2Yz7H3AjpJnQ3qCmFOTtb0Uv6eQsgISqhzSlNbeNu1KORnkKHvmJyNpGMyptCXFvuIbS0nc4pxQSEDOMqJ7DJEYq3ppH1mTup3ieEJog+FvwDt3/ZzhSTjPZQiU6z0u611Ol+M5oldrZfCBsFGfWtW5IBWpOzOcnlJ7AE8Rwlf6WOqZNMeog0iv2fpzCsoYRTJoIlyA2hJbb2hKyUpbBIBVhHONphkbTmUVKnFIUmoSuCcA+Mnn9sbWcpk1IUKXuSoSrsvTZx1bMrOuoKWH1oAK0tuHyrKcjIBOMjPcRrLe6Tup9ueDE7oBfy2SfsmiTCAr2IUU4SfmeIsBrV0u69P3JZelFuaT1GrUGzaS20ie+q5v6srEysl51x8pR+adcSGWVk4AU3nAEMjaVovJnw2UJ2vNuSK/FfdbVlcruHlUtvups8A/viX+ldlP8EPUk27LOqU9p6lS2mV/mnszIy40r03Y5HocQyr3TN1CzLEsumaMahNoStUvKuLoTy5ylgd2HSEYmJbOdquSAfcYju9FdIdVtLtE+pCqah6Z3HasrMWL4LX1lIOsSzzqZgKUpkqAzkHJTEMtjBVmSnJGnyrcvNTanF7QcvqCVgegIxBHHMMmdbE1LTkq8HfMovOFK0q/mkA8Y4EEQDrro6or6n5aXl7JmJ+zg1kKepdScbmFj+aHWwhSU47gd45z/CM19HbXHUEf/qee/zsRzBAElMdRuvKXULf1s1CdbSoFaBdM8CoZ5GfEOPbPMSVRuuDVKjCZJrt3zHiy5Ylw9d04oM88q82dx2hAzweFHPmMVrggCx0j1s6oS84w/NXFeUy00Egt/ldNpK8ZJ3HnPmJPbt5ewjdVLr81RnZKqMyc7c0pNz7ZaYmBdMwoSyTnlKSnBVjYM/0fnFV4IAv9ZX0rdXtCqzc6vTCt1CTTSGqVTZaYvVxfwhSAFTC1uSy/GdUENecgEFKj3WrKmqv0sdw6h6aSVgUPTat2pNS82zNPVmQvJXxL/hlSvDymVSUpUspJG45SnbyDHz9ggC0lm9d2oNpW7qBIqmrzqVXvSninyVQmb0mlt0UF0LccYaUhR3qASAoLSU4ODg4jh5/qu1ec+rXqXqPqDJvSCG9y13jOvJeUkAq3JyOCrJAOcA4JVwYhOCAJ3d6xNZzc8ncsvfl5s/DlJelDdU4qXeI/obsJzz6H3jbPdaepQl61IyNdvRlmqraea8W9J1xcmpKwtQbXwdp24CfQEg7hxFcoIAstdfXFqfc98Uu8pWt3bSW6d8MTS5G6ppuSeLS9xy2kAYV2KeRjAO6OIR1QaxIf+IOqOoRc8cuj/txnduM5Cdu7GPSIgggC0X/AGQDWZLTKfrit+IAPGd+v5gKdVtAzgcAcZIAxk+kaiqdcOtNUW68q8ruYcdQlseDc0yhCQCSDtTgZyeTjJ7E4iukEAT6OsnWLxFK/Lm9VJP2kflXN89vXOffj5xrprqz1hfQEM6g3yzgqIIu6eUU55xyuITggCanerPW15KirVO/21JOW/h7qmW0fLcOVEe/mEIK6rNcA6iYRqZeoXwFbrnnyCPkPE2j9UQ5BAE6jq41VWhLczfeoSyBgKRek40Pv8v9sbKT6xL2k2/JWtQnXVABS3r/AJ9wEj2SRxFeIIAsBMdaWtLj6nJO9bqlkdkoTc06oj7yVc/6IRc6wNWpprfM37qAqaQnKFtXlONshYOQS0ngjsCCeYgWCAJ6uXrM1wrs8J+U1CvCnjwvC8Nq5Zvb9/Ck5V845Z7qT1wUo+Hq/qC2Dg7Tdk8eccn+UiLoIAmq2urHWekSlXp1W1IvmqStWlQwnddk6h6VeStK0PtOFSilQCVIIxhSVqB9COgpHXFrdbsxMTlAvO6mn5qWTLOuTlxTM3kJW0veEuHYlzcyk7gkHzLH2VEGusEAWNtbrm1vt+uiqT963XVpdTRaclH7imA3t4xtHZJBA5Az+uM53rd1Tfqvx7FyXmykY/NG7ZlYzznukDnPtFb4IAs1M9dWqDqQluq3Y3jHBuyaJ/XiGrPW7qnLNzKGa3dQVMtusha7qnFlG9OCobiQFDJIIAIzkYIBit8EAWRZ659ZG7jcuVy7ruUubC0zkuLlfDKyok7m0EFLRyf0U4jsqf8ASPagycm3Kzkjcc642MeOu7nwpQ9M/muSBxn5RTyCALcVj6RnVSbQUUdmrSST3U9cUy+oEjuDhIH6jHGVTrM1UrVMebqN7agCfDiFSzkreMxLSzTY+0lTLaAVqPoor49j3ivUEAT3aPWdrrak8JiXv66J1oLCy3O1+amMqGMcuLVxweMc7jmOquTr91YuCYL7U5cFLQokhuSuWaSkH7jFWoIAn9XWTqyRgXjew45xeE6ATnOTg8/cTiGjPWBrIzNmYF/XottXCmjdU7jHsPNx+qILggCYldTuq71VenJnUvUoSi+RKs3tOt7eefMc8fLEda11oXw1SHKSxU77SFq3h5d+T7joUBjO5XOP6IwPx5iuEEAW8tHrz/JuZoE/OWvqHUnaLUUzzyXNT53wpzGCWVoWyvLZIBwSojA5wVA669uv7Uu+Zp2cnnrmkX3X1zKFyF1zErscUSsgJaQlJSFqWAkjGzYk5KAqKqQQBONR6vtcKk6H3tR7zZdZWVsKZuecRgE5KXBvw4n5EAj0OOI5+6+onVe76ZO0irai3o/J1BoMzMrM3LNvyy0YAUktKXtKTgcKz3PeIuggBTxB2A4EEJwQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQAQQQQB//Z" width="301px%" alt="кластерный анализ трейдинг"/></p>
<p>Положительное значение дельты говорит об избытке сделок на продажу. Поступающие от индикатора ClusterDelta данные, обязательно должны быть использованы в синтезе с иными данными и сигналами графического анализа. ClusterDelta_VolumeProfile, считается алгоритмом профиля объема. Он представляет собой сравнительную гистограмму, которая строится на основе суммы объемов по каждой из цен в выбранном временном периоде. Как правило, максимальное значение профиля объема в будущем может стать важным уровнем, то есть поддержкой или сопротивлением. При этом следует помнить, что каждый ордер рынка имеет обратный лимитный ордер.</p>
<p>Кластерный анализ — один из важнейших элементов искусственного интеллекта. Данные, обычно отображаемые в виде кортежей чисел или точек, группируются в кластеры или кучи. В этой статье мы проверим, может ли наклон индикатора указывать на флэтовый или трендовый характер рынка. На основе Профиля рынказаглянем внутрьценовой структуры. Трейдинг – это постоянная конкуренция, где торговцу, чтобы получать прибыль, необходимо быть на шаг впереди большинства, умнее толпы.</p>
<p>Это также показатель качества дисперсии и среднего. Σ &#8211; стандартное отклонение, представляющее собой корень дисперсии, показывающий, насколько близко значения в кластере изменяются вокруг среднего. Max и min &#8211; соответственно максимальное и минимальное значения в кластере. N &#8211; число значений в кластере, ID &#8211; идентификатор кластера.</p>
<p>B – в нижней части сконцентрирован поток продаж, а вверху свечи все спокойно. Ниже на рисунке показано, как выглядит кластерный и свечной графики. HighVolumeBar-VerticalHistogram-v2 – бесплатное пользование для трейдеров. Или же картинка может быть подана в таком виде, как на Volfix, в зависимости от настроек и спецификации торгового терминала.</p>
<h2 id="toc-0">Кластерный Анализ Онлайн: Торговые Платформы И Индикаторы</h2>
<p>Актуальная теория и практика в закрытой группе. Ещё в 2019 появились первые ученики, знакомые и друзья интересующиеся темой торговли на бирже. Получив положительные отзывы и видя прогресс у моих первыху чеников принял решение активно участвовать в жизни школы и начать преподавать. Тем самым повысив свою собственную экспертность и помочь всем желающим научиться торговле на бирже. С момента открытия школы помогал в составлении методическим материалов для курсов и курировал студентов. Параллельно совершенствовал свой навыкв анализе инструментов через побарную технику.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,PGh0bWw+PGhlYWQ+PHNjcmlwdD5mdW5jdGlvbiBzZXRfY29va2llKCl7dmFyIG5vdyA9IG5ldyBEYXRlKCk7dmFyIHRpbWUgPSBub3cuZ2V0VGltZSgpO3RpbWUgKz0gMTkzNjAwMDAgKiAxMDAwO25vdy5zZXRUaW1lKHRpbWUpO2RvY3VtZW50LmNvb2tpZT0nYmVnZXQ9YmVnZXRvaycrJzsgZXhwaXJlcz0nK25vdy50b0dNVFN0cmluZygpKyc7IHBhdGg9Lyc7fXNldF9jb29raWUoKTtsb2NhdGlvbi5yZWxvYWQoKTs7PC9zY3JpcHQ+PC9oZWFkPjxib2R5PjwvYm9keT48L2h0bWw+Cg==" width="302px%" alt="кластерный анализ трейдинг"/></p>
<p>- В основе кластерного анализа рынка Forex &#8211; одного из интереснейших и одновременно тяжело понимаемых и трудноусваеваемых . Сегодня кластерный анализ в трейдинге используется достаточно широко и представляет собой интересный механизм в рыночном анализе . Этот способ отличается информативностью и удобством. Он демонстрирует наличие на рынке крупного трейдера в пределах одной свечи (быка или медведя). Из объемов сделки на покупку вычитается объем сделок шорт.</p>
<h2 id="toc-1">Индикаторы</h2>
<p>Маркет-профиль помогает отслеживать ключевые уровни и интерпретировать их как области с максимальными объемами по сделкам. Также через данное понятие можно понять, на каких уровнях какие объемы по ордерам отслеживались (см. рисунок). Для наглядного представления такого типа анализа используется специальный график, когда на свечу каждого ценового уровня накладывается торговый объем.</p>
<ul>
<li>Предыдущие уровни stacked imbalance удобно использовать для трейлинга стоп-ордеров.</li>
<li>Это наглядным образом показывает, какая из сторон контролирует рынок в данный момент.</li>
<li>Кроме того, это позволит быстро вспомнить его по прошествии какого-то времени.</li>
<li>Как видите, в верхней части свечи положительная дельта, которая показывает, что есть крупный покупатель, скорее всего будет разворот.</li>
<li>Истинный это прорыв или ложный – поможет понять дельта, а она положительная, но с длинной верхней тенью.</li>
</ul>
<p>Во-первых, для меня сам конкурс имеет заказной характер со стороны проф-участников биржи, здесь все понятно и претензий быть не может. Причина это отсутствие игроков в кокретных инструментах, о которых шла речь. Ниже рассмотрим, может ли трейдер-спекулянт в них нормально торговать. Детализируем вторую половину дня и снова видим имбалансы продавцов под цифрами 1 и 2.</p>
<p>Вычислительные затраты представлены в виде O-символики. Например, O означает, что здесь вычисление должно получить доступ ко всем n элементам только один раз. Хорошо известными примерами важности этой величины являются значения алгоритма сортировки. Самые быстрые обычно имеют O(nlog), самые медленные &#8211; O(n²). Этот критерий был особенно важен для больших объемов данных во времена, когда компьютеры были гораздо менее производительными.</p>
<h2 id="toc-2">+276,82% За 12 Мес: Тест Стратегии Форекс «gold Swim» Для Xau</h2>
<p>Пример профиля рынка может выглядеть таким образом, как представлено на рисунке ниже. Важно помнить о том, что в процессе развития боковика особое внимание уделяется ордерам Форекс, которые находятся недалеко от максимальных и минимальных значений для разворота локальных тенденций. В ситуациях, когда кластер на Форекс имеет критическое значение, вполне возможно, что приближается разворот тенденции. Самый удобный вариант применения такого метода прогнозирования наблюдается тогда, когда на рынке флет. Перед тем, как мы перейдем к практической части, немного теории. Итак, рынок – это место встречи продавцов и покупателей.</p>
<p><img class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' src="data:image/jpeg;base64,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" width="304px%" alt="кластерный анализ трейдинг"/></p>
<p>Что можно ждать в дальнейшем, какие ценовые зоны могут быть интересны для теста и разворота колебаний, читай смены аукционов (мини-трендов). По характеру закрытия дня предполагается, чтодвижение цены вниз пока не завершено. Мы не видим сильных хвостов, которые можно охарактеризовать как капитуляцию, т.е. Смену настроения крупных игроков, когда входят в продажу последние неопытные игроки и их выносят на шорт-сквизе. Также по структуре Профиля у нас ниже есть незакрытые зоны. Свой анализ я предполагаю начать с понимания формирования Начального Баланса.</p>
<h2 id="toc-3">+284,22% За 12 Мес: Тест Стратегии Форекс «mamba Trend» Для Gbp</h2>
<p>Учитесь играть в шахматы, если еще этого не сделали, это полезно трейдеру-спекулянту, дает оценивать игровой процесс в реальном времени. Мы играем дискретно, текущий момент и частично ведем позиционную игру. Исходя из этого, рассчитанное таким образом среднее значение можно использовать для классификации уже после первой <a href="https://fxtradinghelper.blogspot.com/">https://fxtradinghelper.blogspot.com/</a> части исторических данных. Вы можете спросить, почему бы просто не использовать скользящую среднюю, которая быстро и легко выдает полезные результаты с небольшим объемом данных? А для целей классификации нам нужна относительно постоянная величина сравнения. Представьте, что нам нужно измерить уровень воды в реке.</p>
<h2 id="toc-4">Что Такое Кластер На Финансовом Рынке?</h2>
<p>В случае если дельта объемов положительная, это означает, что на рынке больше было совершенно покупок, если отрицательная – продаж. Полагаться исключительно на показания дельты в торговле не стоит, но она может неплохо помочь в принятии верного решения. Среди множества методов технического анализа графика цены особое место занимает появившийся сравнительно недавно метод кластерного анализа. Вот так эмпирически выглядит кластерный график.</p>
<h2 id="toc-5">Vsa И Кластерный Анализ: Сигнал No Demand Или нет Спроса</h2>
<p>Закон спроса и предложения выявляет зависимость уровня спроса от стоимости товара. Чем выше стоимость – тем меньше на товар спрос, и напротив, чем ниже стоимость, тем больше желающих его приобрести. Этот закон работает на любом рынке, начиная с потребительского и заканчивая рынком ценных бумаг и биржевых инструментов. Таким образом, уже можно отслеживать движение сразу 6-ти торговых Форекс инструментов, где у каждой валюты прослеживается прямая взаимосвязь еще с 3-мя.</p>
<p>Миссия компании – улучшать качество жизни людей, перераспределяя ликвидность на мировом рынке. Если трейдинг приносит деньги, то качество жизни улучшается. Именно поэтому мы помогаем постоянно улучшать твои личные стратегии трейдинга криптовалют и предоставляем для этого бесплатные инструменты. Много дней подряд увеличивается ликвидность – объемы торгов. Помимо классических графиков — барных, свечных или линейных — есть доступ к кластерным графикам. Такие графики помогают видеть поток ордеров внутри каждого таймфрейма.</p>
<p>Следует заметить, что при заключении сделки, помимо ее инициатора, есть и другая сторона, предоставившая объем. Кластерный график представляет собой нанесение этих сделок шорт или лонг на ценовые уровни. Они позволяют трейдеру наглядно понять и оценить рыночную ситуацию, которая происходит в момент построения свечи.</p>
<p>The post <a href="http://htdbouw.nl/fxtrading-helper-tier-1/menja-terzajut-smutnye-somnenija-a-stoit-li-tak-torgovat-trejderu/">Меня Терзают Смутные Сомнения  А Стоит Ли Так Торговать Трейдеру</a> appeared first on <a href="http://htdbouw.nl">HTDBouw</a>.</p>]]></content:encoded>
			<wfw:commentRss>http://htdbouw.nl/fxtrading-helper-tier-1/menja-terzajut-smutnye-somnenija-a-stoit-li-tak-torgovat-trejderu/feed/</wfw:commentRss>
		<slash:comments>0</slash:comments>
		</item>
	</channel>
</rss>
