{"id":1725,"date":"2025-02-20T09:19:08","date_gmt":"2025-02-20T09:19:08","guid":{"rendered":"https:\/\/shop.algoforest.com\/?post_type=product&#038;p=1725"},"modified":"2026-06-01T17:25:01","modified_gmt":"2026-06-01T09:25:01","slug":"dragon-wave","status":"publish","type":"product","link":"https:\/\/shop.algoforest.com\/zh\/product\/dragon-wave\/","title":{"rendered":"\u9f8d\u6ce2"},"content":{"rendered":"<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/nzE9pgE5x1o?si=0vIjL3f6PpMxVK9t\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p>Just like the ocean, market conditions can shift suddenly. Dragon Wave leverages this volatility by employing a strategic short-selling approach at market highs and a buying strategy and lows. Equipped with built-in stop loss protection and customizable parameters, Dragon Wave prioritizes both profit and safety. This gives you the opportunity to achieve consistent annual returns of 30% - 50% while safeguarding your initial investment.<\/p>\n<h4><strong>Precision in Every Move:<\/strong><\/h4>\n<p>Dragon Wave is built on a stable, reliable strategy designed to detect even the slightest market movements before major fluctuations occur. This ensures you trade within safe and controlled market conditions.<\/p>\n<h4><strong>Intelligent Automation:<\/strong><\/h4>\n<p>With its advanced martingale system, Dragon Wave dynamically adjusts trading strategies to align with evolving market trends, optimizing performance in real-time.<\/p>\n<h4><strong>Safety Meets Profitability:<\/strong><\/h4>\n<p>By reacting swiftly to market shifts, Dragon Wave helps you:<\/p>\n<ul>\n<li>Seize profit opportunities early.<\/li>\n<li>Avoid risks from extreme fluctuations.<\/li>\n<li>Maintain a low drawdown rate (depend on timeframe usage).<\/li>\n<li>Safeguard your initial capital.<\/li>\n<\/ul>\n<h4><strong>Consistent Returns:<\/strong><\/h4>\n<p>The ultimate goal? To deliver continuous annual profits of 30%\u201350%, combining safety and growth for long-term success.<\/p>\n<h2><strong>Live Performance <\/strong><strong>\u2013 Dragon Wave<\/strong><\/h2>\n<p>For full transparency and to monitor <strong>Dragon Wave 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:[%22Dragon+Wave+v1.00%22,%22Dragon+Wave+v2.00%22,%22Dragon+Wave+v2.10%22]}]\" target=\"_blank\" rel=\"noopener\"><br \/>\n<strong>See Dragon Wave EA Live Signals &amp; Performance<\/strong><\/a><a href=\"https:\/\/signals.algoforest.com\/?columnFilters=[{%22id%22:%22allExpertAdvisorVersionTags%22,%22value%22:[%22Dragon+Wave+v1.00%22,%22Dragon+Wave+v2.00%22,%22Dragon+Wave+v2.10%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\/DW-photo-redirection.png\" alt=\"Dragon Wave EA Live Signals\" \/><br \/>\n<\/a><\/p>\n<h2><strong>Backtest Performance \u2013 Dragon Wave\u00a0<\/strong><\/h2>\n<p>We tested the <strong data-start=\"457\" data-end=\"504\">Dragon Wave Expert Advisor (Dragon Wave EA)<\/strong> across multiple pairs using <strong data-start=\"533\" data-end=\"560\">99.90% modeling quality<\/strong> and real tick data. The results demonstrate consistent profitability and robust performance with different instruments and market conditions.<\/p>\n<p>&nbsp;<\/p>\n<h4 data-start=\"711\" data-end=\"749\">Multi-Pair Backtest Summary Table<\/h4>\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=\"751\" data-end=\"1275\">\n<thead data-start=\"751\" data-end=\"855\">\n<tr data-start=\"751\" data-end=\"855\">\n<th data-start=\"751\" data-end=\"767\" data-col-size=\"sm\">Currency Pair<\/th>\n<th data-start=\"767\" data-end=\"779\" data-col-size=\"sm\">Timeframe<\/th>\n<th data-start=\"779\" data-end=\"797\" data-col-size=\"sm\">Initial Deposit<\/th>\n<th data-start=\"797\" data-end=\"812\" data-col-size=\"sm\">Net Profit<\/th>\n<th data-start=\"812\" data-end=\"827\" data-col-size=\"sm\">Growth %<\/th>\n<th data-start=\"827\" data-end=\"855\" data-col-size=\"sm\">Max Drawdown<\/th>\n<\/tr>\n<\/thead>\n<tbody data-start=\"961\" data-end=\"1275\">\n<tr data-start=\"961\" data-end=\"1065\">\n<td data-start=\"961\" data-end=\"977\" data-col-size=\"sm\">EURCAD<\/td>\n<td data-start=\"977\" data-end=\"989\" data-col-size=\"sm\">M5<\/td>\n<td data-start=\"989\" data-end=\"1007\" data-col-size=\"sm\">$5,000<\/td>\n<td data-start=\"1007\" data-end=\"1022\" data-col-size=\"sm\">$157,425.75<\/td>\n<td data-start=\"1022\" data-end=\"1037\" data-col-size=\"sm\">+3,148.52%<\/td>\n<td data-start=\"1037\" data-end=\"1065\" data-col-size=\"sm\">$52,583.18 (72.62%)<\/td>\n<\/tr>\n<tr data-start=\"1066\" data-end=\"1170\">\n<td data-start=\"1066\" data-end=\"1082\" data-col-size=\"sm\">NZDCAD<\/td>\n<td data-start=\"1082\" data-end=\"1094\" data-col-size=\"sm\">M15<\/td>\n<td data-start=\"1094\" data-end=\"1112\" data-col-size=\"sm\">$3,000<\/td>\n<td data-start=\"1112\" data-end=\"1127\" data-col-size=\"sm\">$70,763.59<\/td>\n<td data-start=\"1127\" data-end=\"1142\" data-col-size=\"sm\">+2,358.79%<\/td>\n<td data-start=\"1142\" data-end=\"1170\" data-col-size=\"sm\">$24,166.16 (45.95%)<\/td>\n<\/tr>\n<tr data-start=\"1171\" data-end=\"1275\">\n<td data-start=\"1171\" data-end=\"1187\" data-col-size=\"sm\">AUDUSD<\/td>\n<td data-start=\"1187\" data-end=\"1199\" data-col-size=\"sm\">M15<\/td>\n<td data-start=\"1199\" data-end=\"1217\" data-col-size=\"sm\">$1,000<\/td>\n<td data-start=\"1217\" data-end=\"1232\" data-col-size=\"sm\">$18,372.57<\/td>\n<td data-start=\"1232\" data-end=\"1247\" data-col-size=\"sm\">+1,837.26%<\/td>\n<td data-start=\"1247\" data-end=\"1275\" data-col-size=\"sm\">$4,147.13 (41.68%)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>&nbsp;<\/p>\n<\/div>\n<\/div>\n<h4 data-start=\"1282\" data-end=\"1324\">Highlights of Dragon Wave EA Backtest<\/h4>\n<p data-start=\"1326\" data-end=\"1865\">\u2705 <strong data-start=\"1328\" data-end=\"1352\">Strong Profitability<\/strong> \u2013 EURCAD (M5) produced <strong data-start=\"1376\" data-end=\"1396\">$157K net profit<\/strong> from a $5K deposit, while AUDUSD grew <strong data-start=\"1435\" data-end=\"1442\">18x<\/strong> from $1K.<br data-start=\"1452\" data-end=\"1455\" \/>\u2705 <strong data-start=\"1457\" data-end=\"1482\">Flexible Across Pairs<\/strong> \u2013 Performs effectively on EURCAD, NZDCAD, and AUDUSD, proving cross-pair adaptability.<br data-start=\"1569\" data-end=\"1572\" \/>\u2705 <strong data-start=\"1574\" data-end=\"1595\">High Trade Volume<\/strong> \u2013 Thousands of trades tested, ensuring statistically reliable performance.<br data-start=\"1670\" data-end=\"1673\" \/>\u2705 <strong data-start=\"1675\" data-end=\"1691\">Risk Metrics<\/strong> \u2013 Max drawdown varied from <strong data-start=\"1719\" data-end=\"1730\">41%\u201372%<\/strong>, depending on pair and market conditions.<br data-start=\"1772\" data-end=\"1775\" \/>\u2705 <strong data-start=\"1777\" data-end=\"1798\">Balanced Strategy<\/strong> \u2013 Solid win rates across both short and long positions (67\u201381%).<\/p>\n<h4><strong>Equity Curve Gallery<\/strong><\/h4>\n<p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-2866 size-large\" src=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1-1024x1013.png\" alt=\"\" width=\"1024\" height=\"1013\" srcset=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1-1024x1013.png 1024w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1-300x297.png 300w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1-768x760.png 768w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1-12x12.png 12w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1-600x593.png 600w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1-100x100.png 100w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW1.png 1176w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-2867 size-large\" src=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW2-1024x955.png\" alt=\"\" width=\"1024\" height=\"955\" srcset=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW2-1024x955.png 1024w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW2-300x280.png 300w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW2-768x716.png 768w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW2-13x12.png 13w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW2-600x560.png 600w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW2.png 1174w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<p><img decoding=\"async\" class=\"alignnone wp-image-2868 size-large\" src=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW3-1024x992.png\" alt=\"\" width=\"1024\" height=\"992\" srcset=\"https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW3-1024x992.png 1024w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW3-300x291.png 300w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW3-768x744.png 768w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW3-12x12.png 12w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW3-600x581.png 600w, https:\/\/shop.algoforest.com\/wp-content\/uploads\/2025\/02\/DW3.png 1178w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<h4><strong>Why Choose Dragon Wave EA?<\/strong><\/h4>\n<p data-start=\"2167\" data-end=\"2217\">Dragon Wave EA is designed for traders who want:<\/p>\n<ul data-start=\"2219\" data-end=\"2579\">\n<li data-start=\"2219\" data-end=\"2311\">\n<p data-start=\"2221\" data-end=\"2311\"><strong data-start=\"2221\" data-end=\"2249\">High Profit Multipliers:<\/strong> Proven to grow accounts by <strong data-start=\"2277\" data-end=\"2288\">18x\u201330x<\/strong> within test periods.<\/p>\n<\/li>\n<li data-start=\"2312\" data-end=\"2399\">\n<p data-start=\"2314\" data-end=\"2399\"><strong data-start=\"2314\" data-end=\"2341\">Multi-Pair Versatility:<\/strong> Works across major and cross pairs with steady results.<\/p>\n<\/li>\n<li data-start=\"2400\" data-end=\"2483\">\n<p data-start=\"2402\" data-end=\"2483\"><strong data-start=\"2402\" data-end=\"2430\">Trade Volume Confidence:<\/strong> Backtested on thousands of trades for reliability.<\/p>\n<\/li>\n<li data-start=\"2484\" data-end=\"2579\">\n<p data-start=\"2486\" data-end=\"2579\"><strong data-start=\"2486\" data-end=\"2508\">Scalable Strategy:<\/strong> Works on both small deposits ($1,000) and larger accounts ($5,000+).<\/p>\n<\/li>\n<\/ul>\n<p data-start=\"2581\" data-end=\"2730\">The Dragon Wave EA delivers a combination of <strong data-start=\"2626\" data-end=\"2666\">profit power and robust adaptability<\/strong>, making it suitable for both aggressive and balanced traders.<\/p>\n<hr data-start=\"2732\" data-end=\"2735\" \/>\n<p data-start=\"2737\" data-end=\"2919\">\u26a0\ufe0f <strong data-start=\"2740\" data-end=\"2755\">Disclaimer:<\/strong> All results are based on historical data. Past performance does not guarantee future outcomes. Trading involves risk \u2013 only trade capital you can afford to lose.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Just like the ocean, market conditions can shift suddenly. Dragon Wave leverages this volatility by employing a strategic short-selling approach at market highs and a buying strategy and lows. Equipped with built-in stop loss protection and customizable parameters, Dragon Wave prioritizes both profit and safety. This gives you the opportunity to achieve consistent annual returns [&hellip;]<\/p>\n","protected":false},"featured_media":1733,"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":[],"class_list":{"0":"post-1725","1":"product","2":"type-product","3":"status-publish","4":"has-post-thumbnail","6":"product_cat-ea","8":"first","9":"instock","10":"shipping-taxable","11":"purchasable","12":"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\/zh\/wp-json\/wp\/v2\/product\/1725","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/product"}],"about":[{"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/types\/product"}],"replies":[{"embeddable":true,"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/comments?post=1725"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/media\/1733"}],"wp:attachment":[{"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/media?parent=1725"}],"wp:term":[{"taxonomy":"product_brand","embeddable":true,"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/product_brand?post=1725"},{"taxonomy":"product_cat","embeddable":true,"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/product_cat?post=1725"},{"taxonomy":"product_tag","embeddable":true,"href":"https:\/\/shop.algoforest.com\/zh\/wp-json\/wp\/v2\/product_tag?post=1725"}],"curies":[{"name":"\u53ef\u6fd5\u6027\u7c89\u5291","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}