{"id":1472,"date":"2024-12-17T03:00:46","date_gmt":"2024-12-17T03:00:46","guid":{"rendered":"https:\/\/dev.algoforest.com\/?post_type=product&#038;p=1472"},"modified":"2026-05-07T13:44:44","modified_gmt":"2026-05-07T05:44:44","slug":"sma","status":"publish","type":"product","link":"https:\/\/shop.algoforest.com\/cn\/product\/sma\/","title":{"rendered":"SMA"},"content":{"rendered":"<h1><strong>Key Features:<\/strong><\/h1>\n<ul>\n<li><strong>Trend-Focused:<\/strong><br \/>\nSMA focuses on identifying medium- to long-term trends using various moving averages.<\/li>\n<li><strong>Smart Martingale Strategy:<\/strong><br \/>\nIt employs a smart Martingale strategy to adjust trade sizes based on market conditions, optimising returns while managing risk.<\/li>\n<li><strong>AI Analysis System:<\/strong><br \/>\nSMA integrates an AI-driven analysis system to enhance market entry decisions.<\/li>\n<li><strong>Customisable Exit Strategies:<\/strong><br \/>\nThe EA allows traders to dynamically adjust exit points, adapting to real-time market conditions.<\/li>\n<\/ul>\n<h1><strong>How It Works:<\/strong><\/h1>\n<p>SMA monitors trend directions through moving averages and uses its smart Martingale system to adjust position sizes.<br \/>\nThis flexibility allows for strategic growth while maintaining control over risk and trade management.<\/p>\n<h1><strong>Live Performance \u2013 SMA<\/strong><\/h1>\n<p>For full transparency and to monitor <strong>SMA EA\u2019s live progress in real market conditions<\/strong>,<br \/>\nyou can track its performance and signals in real time on our website:<\/p>\n<p>\ud83d\udc49 <a href=\"https:\/\/signals.algoforest.com\/?columnFilters=[{%22id%22:%22allExpertAdvisorVersionTags%22,%22value%22:[%22SMA%22,%22SMA+v2.00%22,%22SMA+v3.00%22]}]\" target=\"_blank\" rel=\"noopener\"><strong>See SMA EA Live Signals &amp; Performance<\/strong><\/a><a href=\"https:\/\/signals.algoforest.com\/?columnFilters=[{%22id%22:%22allExpertAdvisorVersionTags%22,%22value%22:[%22SMA%22,%22SMA+v2.00%22,%22SMA+v3.00%22]}]\" target=\"_blank\" rel=\"noopener\"><br \/>\n<img decoding=\"async\" style=\"max-width: 100%; height: auto; border: 1px solid #ddd; border-radius: 6px;\" src=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/10\/SMA-photo-redirection.png\" alt=\"SMA EA Live Signals\" \/><br \/>\n<\/a><\/p>\n<h1><strong>Backtest Performance \u2013 SMA\u00a0<\/strong><\/h1>\n<p data-start=\"429\" data-end=\"756\">The <strong data-start=\"433\" data-end=\"470\">SMA Expert Advisor (SMA EA v3.00)<\/strong> was tested on <strong data-start=\"485\" data-end=\"502\">Gold (XAUUSD)<\/strong> using <strong data-start=\"509\" data-end=\"536\">99.90% modeling quality<\/strong> with real tick data. Across multiple timeframes (M15, M30, H1), SMA EA delivered consistent and stable profitability with a very low trade volume strategy, making it ideal for traders who prefer quality over quantity.<\/p>\n<h2 data-start=\"763\" data-end=\"806\">Multi-Timeframe Backtest Summary Table<\/h2>\n<div class=\"_tableContainer_1rjym_1\">\n<div class=\"group _tableWrapper_1rjym_13 flex w-fit flex-col-reverse\" tabindex=\"-1\">\n<table class=\"w-fit min-w-(--thread-content-width)\" data-start=\"808\" data-end=\"1245\">\n<thead data-start=\"808\" data-end=\"891\">\n<tr data-start=\"808\" data-end=\"891\">\n<th data-start=\"808\" data-end=\"821\" data-col-size=\"sm\">Instrument<\/th>\n<th data-start=\"821\" data-end=\"833\" data-col-size=\"sm\">Timeframe<\/th>\n<th data-start=\"833\" data-end=\"851\" data-col-size=\"sm\">Initial Deposit<\/th>\n<th data-start=\"851\" data-end=\"864\" data-col-size=\"sm\">Net Profit<\/th>\n<th data-start=\"864\" data-end=\"875\" data-col-size=\"sm\">Growth %<\/th>\n<th data-start=\"875\" data-end=\"891\" data-col-size=\"sm\">Max Drawdown<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"976\" data-end=\"1245\">\n<tr data-start=\"976\" data-end=\"1065\">\n<td data-start=\"976\" data-end=\"989\" data-col-size=\"sm\">XAUUSD<\/td>\n<td data-start=\"989\" data-end=\"1001\" data-col-size=\"sm\">M30<\/td>\n<td data-start=\"1001\" data-end=\"1019\" data-col-size=\"sm\">$5,000<\/td>\n<td data-start=\"1019\" data-end=\"1032\" data-col-size=\"sm\">$5,303.20<\/td>\n<td data-start=\"1032\" data-end=\"1043\" data-col-size=\"sm\">+106.06%<\/td>\n<td data-start=\"1043\" data-end=\"1065\" data-col-size=\"sm\">$2,820.72 (50.14%)<\/td>\n<\/tr>\n<tr data-start=\"1066\" data-end=\"1155\">\n<td data-start=\"1066\" data-end=\"1079\" data-col-size=\"sm\">XAUUSD<\/td>\n<td data-start=\"1079\" data-end=\"1091\" data-col-size=\"sm\">M15<\/td>\n<td data-start=\"1091\" data-end=\"1109\" data-col-size=\"sm\">$5,000<\/td>\n<td data-start=\"1109\" data-end=\"1122\" data-col-size=\"sm\">$5,312.21<\/td>\n<td data-start=\"1122\" data-end=\"1133\" data-col-size=\"sm\">+106.24%<\/td>\n<td data-start=\"1133\" data-end=\"1155\" data-col-size=\"sm\">$2,820.72 (50.14%)<\/td>\n<\/tr>\n<tr data-start=\"1156\" data-end=\"1245\">\n<td data-start=\"1156\" data-end=\"1169\" data-col-size=\"sm\">XAUUSD<\/td>\n<td data-start=\"1169\" data-end=\"1181\" data-col-size=\"sm\">H1<\/td>\n<td data-start=\"1181\" data-end=\"1199\" data-col-size=\"sm\">$5,000<\/td>\n<td data-start=\"1199\" data-end=\"1212\" data-col-size=\"sm\">$5,263.92<\/td>\n<td data-start=\"1212\" data-end=\"1223\" data-col-size=\"sm\">+105.28%<\/td>\n<td data-start=\"1223\" data-end=\"1245\" data-col-size=\"sm\">$2,820.72 (50.14%)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<h4><\/h4>\n<h2 data-start=\"1252\" data-end=\"1286\">Highlights of SMA EA Backtest<\/h2>\n<p data-start=\"1288\" data-end=\"1838\">\u2705 <strong data-start=\"1290\" data-end=\"1314\">Stable Profitability<\/strong> \u2013 Across all timeframes (M15, M30, H1), SMA EA generated consistent <strong data-start=\"1383\" data-end=\"1408\">~+105% account growth<\/strong>.<br data-start=\"1409\" data-end=\"1412\" \/>\u2705 <strong data-start=\"1414\" data-end=\"1436\">High Profit Factor<\/strong> \u2013 Maintained a strong <strong data-start=\"1459\" data-end=\"1488\">7.00 \u2013 7.10 profit factor<\/strong>, reflecting precise trade entries.<br data-start=\"1523\" data-end=\"1526\" \/>\u2705 <strong data-start=\"1528\" data-end=\"1556\">Controlled Trading Style<\/strong> \u2013 Operates with low trade volume (\u2248 50 trades per period), focusing on high-probability setups.<br data-start=\"1652\" data-end=\"1655\" \/>\u2705 <strong data-start=\"1657\" data-end=\"1681\">Balanced Performance<\/strong> \u2013 Maintained around <strong data-start=\"1702\" data-end=\"1718\">75% win rate<\/strong> across tests.<br data-start=\"1732\" data-end=\"1735\" \/>\u2705 <strong data-start=\"1737\" data-end=\"1756\">Risk Management<\/strong> \u2013 Relative drawdown remained stable at <strong data-start=\"1796\" data-end=\"1806\">50.14%<\/strong>, consistent across all tests.<\/p>\n<h2>Equity Curve Gallery<\/h2>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-2877 size-full\" src=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-1.png\" alt=\"\" width=\"861\" height=\"1001\" srcset=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-1.png 861w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-1-258x300.png 258w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-1-768x893.png 768w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-1-10x12.png 10w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-1-600x698.png 600w\" sizes=\"(max-width: 861px) 100vw, 861px\" \/><\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-2876 size-full\" src=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-2.png\" alt=\"\" width=\"832\" height=\"962\" srcset=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-2.png 832w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-2-259x300.png 259w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-2-768x888.png 768w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-2-10x12.png 10w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-2-600x694.png 600w\" sizes=\"(max-width: 832px) 100vw, 832px\" \/><\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-2875 size-full\" src=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-3.png\" alt=\"\" width=\"852\" height=\"1013\" srcset=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-3.png 852w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-3-252x300.png 252w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-3-768x913.png 768w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-3-10x12.png 10w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/SMA-3-600x713.png 600w\" sizes=\"(max-width: 852px) 100vw, 852px\" \/><\/p>\n<h2 data-start=\"2117\" data-end=\"2140\">Why Choose SMA EA?<\/h2>\n<p data-start=\"2142\" data-end=\"2192\">The <strong data-start=\"2146\" data-end=\"2156\">SMA EA<\/strong> is designed for traders who want:<\/p>\n<ul data-start=\"2194\" data-end=\"2586\">\n<li data-start=\"2194\" data-end=\"2284\">\n<p data-start=\"2196\" data-end=\"2284\"><strong data-start=\"2196\" data-end=\"2227\">Consistency Over Aggression<\/strong> \u2013 Focused on steady returns rather than extreme gains.<\/p>\n<\/li>\n<li data-start=\"2285\" data-end=\"2393\">\n<p data-start=\"2287\" data-end=\"2393\"><strong data-start=\"2287\" data-end=\"2318\">Multi-Timeframe Versatility<\/strong> \u2013 Works equally well on intraday (M15, M30) and longer-term (H1) setups.<\/p>\n<\/li>\n<li data-start=\"2394\" data-end=\"2486\">\n<p data-start=\"2396\" data-end=\"2486\"><strong data-start=\"2396\" data-end=\"2415\">Strong Accuracy<\/strong> \u2013 Profit factor above <strong data-start=\"2438\" data-end=\"2446\">7.00<\/strong> highlights precise entries and exits.<\/p>\n<\/li>\n<li data-start=\"2487\" data-end=\"2586\">\n<p data-start=\"2489\" data-end=\"2586\"><strong data-start=\"2489\" data-end=\"2514\">Low-Frequency Trading<\/strong> \u2013 Ideal for traders who prefer a controlled, less stressful approach.<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2588\" data-end=\"2743\">SMA EA proves to be a <strong data-start=\"2610\" data-end=\"2657\">high-accuracy, low-frequency Expert Advisor<\/strong>, making it suitable for conservative traders aiming for steady, compounding growth.<\/p>\n<hr data-start=\"2745\" data-end=\"2748\" \/>\n<p data-start=\"2750\" data-end=\"2931\">\u26a0\ufe0f <strong data-start=\"2753\" data-end=\"2768\">Disclaimer:<\/strong> Results are based on historical backtests. Past performance does not guarantee future outcomes. Trading involves risk \u2013 only use capital you can afford to lose.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e00\u6b3e\u529f\u80fd\u5f3a\u5927\u7684\u4ea4\u6613\u5de5\u5177\uff0c\u65e8\u5728\u6355\u6349\u4e2d\u957f\u671f\u8d8b\u52bf\u3002SMA \u8fd0\u7528\u591a\u79cd\u79fb\u52a8\u5e73\u5747\u7ebf\uff0c\u4e3a\u4ea4\u6613\u8005\u63d0\u4f9b\u7075\u6d3b\u7684\u5e02\u573a\u8fdb\u51fa\u70b9\u3002\u7ed3\u5408\u667a\u80fd\u9a6c\u4e01\u683c\u5c14\u7b56\u7565\u548c\u52a8\u6001\u5e73\u4ed3\u9009\u9879\uff0c\u5b83\u786e\u4fdd\u4e86\u5728\u5404\u79cd\u5e02\u573a\u6761\u4ef6\u4e0b\u90fd\u80fd\u5b9e\u73b0\u6700\u4f73\u7684\u4ea4\u6613\u7ba1\u7406\u548c\u9002\u5e94\u6027\u3002<\/p>","protected":false},"featured_media":1485,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false,"content-type":"","_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"product_brand":[],"product_cat":[459],"product_tag":[76],"class_list":{"0":"post-1472","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-ea","7":"product_tag-ea","9":"first","10":"instock","11":"sale","12":"virtual","13":"purchasable","14":"product-type-simple"},"bundled_by":[],"bundle_stock_status":"instock","bundle_stock_quantity":null,"bundle_virtual":false,"bundle_layout":"","bundle_add_to_cart_form_location":"","bundle_editable_in_cart":false,"bundle_sold_individually_context":"","bundle_item_grouping":"","bundle_min_size":"","bundle_max_size":"","bundle_price":[],"bundled_items":[],"bundle_sell_ids":[],"acf":[],"_links":{"self":[{"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/product\/1472","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/comments?post=1472"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/media\/1485"}],"wp:attachment":[{"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/media?parent=1472"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/product_brand?post=1472"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/product_cat?post=1472"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/shop.algoforest.com\/cn\/wp-json\/wp\/v2\/product_tag?post=1472"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}