feat: open-source release — AI-driven autonomous optimization with live visibility
Major upgrade making the AI loop visible and the project ready for public release. UI / UX - Live AI Thinking Feed: streams reasoning, decisions, and outcomes per iteration - Parameter Changes panel: prev → new + reason for every AI-driven edit - Validation Activity panel: out-of-sample + sensitivity runs with live metrics - Early Termination banner: surfaces why optimization stopped (targets met, no profit, budget, stuck, user stop) - 3-phase tracker renamed Exploration / Iteration / Validation with live N/total - Best Result modal exposes Evolution Path showing how the AI arrived at the winner - Run-detail modal accessible from every recent run row - Setup form validation (dates, walk-forward order, params selection, AI targets) - Pause button removed; misleading sidebar nav consolidated to Dashboard / New Run / Reports / Source Backend - AIGuidedLoop streams ai_thinking, param_changes, ai_targets_met, ai_stuck - Pipeline emits validation_start / validation_run_start / validation_run_complete / validation_done - Pipeline emits early_termination on every early-stop path - /api/best_result returns best run + full evolution chain - /api/run/<id> + /api/runs sorted by ts - AIReasoner falls back to ANTHROPIC_API_KEY env var when config is a placeholder - Demo mode (APEX_DEMO_MODE=1) generates deterministic synthetic backtests so judges can run end-to-end without MT5 Open-source readiness - README.md with pitch, demo flow, architecture diagram, quickstart, event reference - LICENSE (MIT) - config.example.yaml template (config.yaml now git-ignored) - requirements.txt: added anthropic / requests / psutil / beautifulsoup4, capped majors - .gitignore: secrets, *.set, scratch screenshots, ea_registry.yaml - demo/run_demo.py: one-command offline demo runner - 10 polished screenshots for README + judge review
This commit is contained in:
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@@ -370,6 +370,161 @@
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</div>
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</div>
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<!-- Add New EA -->
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<div style="margin-top:0.5rem;display:flex;gap:0.75rem;align-items:center;flex-wrap:wrap">
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<button type="button" onclick="showAddEAModal()"
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style="background:none;border:1px dashed rgba(79,70,229,0.4);color:#7c6dfa;padding:0.4rem 1rem;border-radius:8px;font-size:0.8rem;cursor:pointer;font-family:inherit;transition:all 0.2s"
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onmouseover="this.style.borderColor='#7c6dfa'" onmouseout="this.style.borderColor='rgba(79,70,229,0.4)'">
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+ Register New EA
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</button>
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<button type="button" id="scan-btn" onclick="scanForEAs()"
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style="background:none;border:1px dashed rgba(0,212,170,0.35);color:#00d4aa;padding:0.4rem 1rem;border-radius:8px;font-size:0.8rem;cursor:pointer;font-family:inherit;transition:all 0.2s;display:flex;align-items:center;gap:0.4rem"
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onmouseover="this.style.borderColor='#00d4aa'" onmouseout="this.style.borderColor='rgba(0,212,170,0.35)'">
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<svg width="12" height="12" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2.5"><circle cx="11" cy="11" r="8"/><path d="M21 21l-4.35-4.35"/></svg>
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Scan for EAs
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</button>
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<span id="scan-status" style="font-size:0.78rem;color:#64748b"></span>
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</div>
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<!-- Add EA Modal -->
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<div id="add-ea-modal" style="display:none;position:fixed;inset:0;background:rgba(0,0,0,0.75);z-index:50;align-items:center;justify-content:center;backdrop-filter:blur(6px)">
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<div style="background:#0d1117;border:1px solid rgba(255,255,255,0.1);border-radius:16px;padding:2rem;width:540px;max-width:95vw;max-height:90vh;overflow-y:auto">
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<div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:1.5rem">
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<div>
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<h3 style="font-size:1.05rem;font-weight:700;color:#e2e8f0">Register New EA</h3>
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<p style="font-size:0.78rem;color:#64748b;margin-top:0.2rem">Pick a detected EA or enter paths manually</p>
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</div>
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<button onclick="hideAddEAModal()" style="background:none;border:none;color:#64748b;cursor:pointer;font-size:1.4rem;line-height:1">✕</button>
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</div>
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<!-- Detected EAs picker (shown after scan) -->
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<div id="detected-section" style="display:none;margin-bottom:1.25rem">
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<div style="font-size:0.78rem;font-weight:600;text-transform:uppercase;letter-spacing:0.08em;color:#00d4aa;margin-bottom:0.6rem">
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Detected EAs — click to auto-fill
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</div>
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<div id="detected-list" style="display:flex;flex-direction:column;gap:0.4rem;max-height:180px;overflow-y:auto;padding-right:4px"></div>
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<div style="margin:1rem 0;border-top:1px solid rgba(255,255,255,0.06)"></div>
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</div>
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<div style="display:flex;flex-direction:column;gap:1rem">
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<div class="field">
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<label>EA Display Name</label>
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<input type="text" id="new-ea-name" placeholder="e.g. MyEA_v2">
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</div>
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<div class="field">
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<label>EA File Name (without .ex5)</label>
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<input type="text" id="new-ea-file" placeholder="e.g. MyEA_v2">
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</div>
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<div class="field">
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<label style="display:flex;align-items:center;justify-content:space-between">
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<span>.set Template Path</span>
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<span id="set-match-badge" style="display:none;font-size:0.7rem;background:rgba(0,212,170,0.15);color:#00d4aa;padding:2px 8px;border-radius:999px;font-weight:600">✓ auto-matched</span>
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</label>
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<input type="text" id="new-ea-set" placeholder="C:\MT5 Set files\MyEA.set">
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<!-- Set file picker (shown after scan) -->
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<select id="set-picker" style="display:none;margin-top:0.4rem;font-size:0.82rem" onchange="onSetPick()">
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<option value="">— pick from detected .set files —</option>
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</select>
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</div>
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<div class="grid-2">
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<div class="field">
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<label>Symbol</label>
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<select id="new-ea-symbol">
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<option value="XAUUSD">XAUUSD (Gold)</option>
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<option value="EURUSD">EURUSD</option>
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<option value="GBPUSD">GBPUSD</option>
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<option value="USDJPY">USDJPY</option>
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<option value="USDCAD">USDCAD</option>
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<option value="AUDUSD">AUDUSD</option>
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<option value="BTCUSD">BTCUSD</option>
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<option value="NASDAQ">NASDAQ</option>
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<option value="US30">US30</option>
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<option value="DE40">DE40</option>
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</select>
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</div>
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<div class="field">
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<label>Timeframe</label>
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<select id="new-ea-tf">
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<option value="M5">M5</option>
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<option value="M15">M15</option>
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<option value="M30">M30</option>
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<option value="H1" selected>H1</option>
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<option value="H4">H4</option>
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<option value="D1">D1</option>
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</select>
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</div>
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</div>
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</div>
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<div style="display:flex;gap:0.75rem;margin-top:1.5rem;justify-content:flex-end">
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<button type="button" onclick="hideAddEAModal()"
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style="padding:0.6rem 1.25rem;background:rgba(255,255,255,0.06);border:1px solid rgba(255,255,255,0.1);color:#e2e8f0;border-radius:8px;cursor:pointer;font-family:inherit">
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Cancel
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</button>
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<button type="button" onclick="registerNewEA()"
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style="padding:0.6rem 1.5rem;background:linear-gradient(135deg,#4f46e5,#7c6dfa);color:white;border:none;border-radius:8px;font-weight:700;cursor:pointer;font-family:inherit">
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Register EA
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</button>
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</div>
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</div>
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</div>
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<!-- Autonomous AI Loop -->
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<div style="border:1px solid rgba(0,212,170,0.25);border-radius:12px;padding:1.25rem 1.5rem;background:rgba(0,212,170,0.04);margin-top:0.5rem">
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<div style="display:flex;align-items:center;justify-content:space-between;margin-bottom:0.75rem">
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<div>
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<div style="display:flex;align-items:center;gap:0.6rem">
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<svg width="15" height="15" viewBox="0 0 24 24" fill="none" stroke="#00d4aa" stroke-width="2"><polygon points="13 2 3 14 12 14 11 22 21 10 12 10 13 2"/></svg>
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<span style="font-size:0.88rem;font-weight:700;color:#e2e8f0">Autonomous AI Loop</span>
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<span style="font-size:0.62rem;background:rgba(0,212,170,0.18);color:#00d4aa;padding:2px 7px;border-radius:999px;font-weight:700;letter-spacing:0.05em">NEW</span>
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</div>
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<div style="font-size:0.72rem;color:#64748b;margin-top:0.25rem">
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AI analyzes results and evolves parameters each iteration until targets are met
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</div>
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</div>
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<!-- Toggle -->
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<button type="button" class="settings-toggle" id="autonomous-toggle"
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onclick="toggleAutonomous(this)"
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style="width:44px;height:24px;background:rgba(255,255,255,0.12);border-radius:999px;border:none;cursor:pointer;position:relative;transition:background 0.2s;flex-shrink:0">
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</button>
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</div>
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<!-- Expanded controls (hidden when off) -->
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<div id="autonomous-controls" style="display:none">
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<div style="display:grid;grid-template-columns:1fr 1fr 1fr;gap:0.75rem;margin-bottom:0.75rem">
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<div class="field" style="margin:0">
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<label>Max Iterations</label>
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<input type="number" name="autonomous_max_iterations" id="ai-max-iter"
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value="10" min="3" max="50" step="1" class="input" style="margin-top:0.3rem">
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</div>
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<div class="field" style="margin:0">
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<label>Target Profit Factor</label>
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<input type="number" name="target_profit_factor" id="ai-target-pf"
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value="1.5" min="1.0" max="5.0" step="0.1" class="input" style="margin-top:0.3rem">
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</div>
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<div class="field" style="margin:0">
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<label>Target Max Drawdown %</label>
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<input type="number" name="target_max_drawdown_pct" id="ai-target-dd"
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value="20" min="5" max="50" step="1" class="input" style="margin-top:0.3rem">
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</div>
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</div>
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<div style="display:grid;grid-template-columns:1fr 2fr;gap:0.75rem">
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<div class="field" style="margin:0">
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<label>Target Min Calmar</label>
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<input type="number" name="target_min_calmar" id="ai-target-calmar"
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value="0.5" min="0.1" max="5.0" step="0.05" class="input" style="margin-top:0.3rem">
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</div>
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<div style="background:rgba(255,255,255,0.03);border:1px solid rgba(255,255,255,0.07);border-radius:8px;padding:0.6rem 0.9rem;font-size:0.72rem;color:#64748b;line-height:1.55">
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Loop stops early when <strong style="color:#e2e8f0">ALL</strong> targets are met simultaneously.
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Requires an Anthropic API key configured in Settings.
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</div>
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</div>
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</div>
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<!-- Hidden inputs for form submission -->
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<input type="hidden" name="autonomous_mode" id="autonomous-mode-val" value="false">
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</div>
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<!-- Submit -->
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<div class="submit-row">
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<button type="submit" class="btn-start" id="start-btn">
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@@ -419,13 +574,242 @@
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body.classList.toggle('open');
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}
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let scannedData = null; // cache from /api/ea/scan
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function showAddEAModal() {
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document.getElementById('add-ea-modal').style.display = 'flex';
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// If we already scanned, populate the detected section
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if (scannedData) populateDetected(scannedData);
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}
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function hideAddEAModal() {
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document.getElementById('add-ea-modal').style.display = 'none';
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}
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async function scanForEAs() {
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const btn = document.getElementById('scan-btn');
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const status = document.getElementById('scan-status');
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btn.style.opacity = '0.5';
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btn.style.pointerEvents = 'none';
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status.textContent = 'Scanning...';
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try {
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const resp = await fetch('/api/ea/scan');
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const data = await resp.json();
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scannedData = data;
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const count = data.ex5.length;
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const setCount = data.set.length;
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status.style.color = '#00d4aa';
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status.textContent = `Found ${count} EA${count !== 1 ? 's' : ''} · ${setCount} .set file${setCount !== 1 ? 's' : ''}`;
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showAddEAModal();
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} catch(e) {
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status.style.color = '#ef4444';
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status.textContent = 'Scan failed: ' + e.message;
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} finally {
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btn.style.opacity = '';
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btn.style.pointerEvents = '';
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}
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}
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function populateDetected(data) {
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const section = document.getElementById('detected-section');
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const list = document.getElementById('detected-list');
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const picker = document.getElementById('set-picker');
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if (!data.ex5.length && !data.set.length) return;
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// Build EA pill list
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list.innerHTML = '';
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data.ex5.forEach(ea => {
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const pill = document.createElement('button');
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pill.type = 'button';
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pill.style.cssText = 'display:flex;align-items:center;justify-content:space-between;padding:0.55rem 0.85rem;background:rgba(255,255,255,0.04);border:1px solid rgba(255,255,255,0.08);border-radius:9px;cursor:pointer;font-family:inherit;width:100%;text-align:left;transition:all 0.15s';
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pill.onmouseover = () => { pill.style.background='rgba(124,109,250,0.12)'; pill.style.borderColor='rgba(124,109,250,0.4)'; };
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pill.onmouseout = () => { pill.style.background='rgba(255,255,255,0.04)'; pill.style.borderColor='rgba(255,255,255,0.08)'; };
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pill.innerHTML = `
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<span style="font-size:0.85rem;font-weight:600;color:#e2e8f0">${ea.name}</span>
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${ea.suggested_set
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? '<span style="font-size:0.7rem;background:rgba(0,212,170,0.15);color:#00d4aa;padding:2px 8px;border-radius:999px;font-weight:600">.set matched</span>'
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: '<span style="font-size:0.7rem;color:#64748b">no .set matched</span>'
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}
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`;
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pill.onclick = () => autoFillFromEA(ea);
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list.appendChild(pill);
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});
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// Build .set picker
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picker.innerHTML = '<option value="">— pick from detected .set files —</option>';
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data.set.forEach(s => {
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const opt = new Option(s.filename, s.path);
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picker.add(opt);
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});
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picker.style.display = data.set.length ? 'block' : 'none';
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section.style.display = 'block';
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}
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function autoFillFromEA(ea) {
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document.getElementById('new-ea-name').value = ea.name;
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document.getElementById('new-ea-file').value = ea.name;
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if (ea.suggested_set) {
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document.getElementById('new-ea-set').value = ea.suggested_set;
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document.getElementById('set-match-badge').style.display = 'inline';
|
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} else {
|
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document.getElementById('new-ea-set').value = '';
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document.getElementById('set-match-badge').style.display = 'none';
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}
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// Scroll to bottom of modal to show form fields
|
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document.getElementById('add-ea-modal').querySelector('div').scrollTop = 999;
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}
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|
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function onSetPick() {
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const val = document.getElementById('set-picker').value;
|
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if (val) {
|
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document.getElementById('new-ea-set').value = val;
|
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document.getElementById('set-match-badge').style.display = 'inline';
|
||||
}
|
||||
}
|
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|
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async function registerNewEA() {
|
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const name = document.getElementById('new-ea-name').value.trim();
|
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const file = document.getElementById('new-ea-file').value.trim();
|
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const set = document.getElementById('new-ea-set').value.trim();
|
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const symbol = document.getElementById('new-ea-symbol').value;
|
||||
const timeframe = document.getElementById('new-ea-tf').value;
|
||||
|
||||
if (!name || !set) {
|
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alert('EA Name and .set file path are required.');
|
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return;
|
||||
}
|
||||
|
||||
try {
|
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const resp = await fetch('/api/ea/register', {
|
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method: 'POST',
|
||||
headers: {'Content-Type': 'application/json'},
|
||||
body: JSON.stringify({ name, ex5_file: file || name, set_template: set, symbol, timeframe, mode: 'generic' }),
|
||||
});
|
||||
const result = await resp.json();
|
||||
if (result.ok) {
|
||||
hideAddEAModal();
|
||||
// Add to dropdown immediately without reload
|
||||
const sel = document.getElementById('ea_name');
|
||||
const existing = [...sel.options].find(o => o.value === name);
|
||||
if (!existing) {
|
||||
const opt = new Option(name, name);
|
||||
sel.add(opt);
|
||||
}
|
||||
sel.value = name;
|
||||
document.getElementById('scan-status').textContent = `"${name}" registered ✓`;
|
||||
document.getElementById('scan-status').style.color = '#00d4aa';
|
||||
// Reload params for this EA
|
||||
if (typeof loadEAParams === 'function') loadEAParams(name);
|
||||
} else {
|
||||
alert('Error: ' + (result.error || 'Registration failed'));
|
||||
}
|
||||
} catch(e) {
|
||||
alert('Network error: ' + e.message);
|
||||
}
|
||||
}
|
||||
|
||||
async function loadEAParams(eaName) {
|
||||
const grid = document.getElementById('param-grid');
|
||||
if (!grid) return;
|
||||
grid.innerHTML = '<span style="color:#64748b;font-size:0.82rem">Loading parameters...</span>';
|
||||
try {
|
||||
const resp = await fetch('/api/ea_params?ea=' + encodeURIComponent(eaName));
|
||||
const params = await resp.json();
|
||||
if (params.error) { grid.innerHTML = `<span style="color:#ef4444;font-size:0.82rem">${params.error}</span>`; return; }
|
||||
if (!params.length) { grid.innerHTML = '<span style="color:#64748b;font-size:0.82rem">No optimizable parameters found in .set file.</span>'; return; }
|
||||
grid.innerHTML = params.map(p => `
|
||||
<label class="param-check">
|
||||
<input type="checkbox" name="selected_params" value="${p.name}" ${p.optimize ? 'checked' : ''}>
|
||||
<span title="${p.range || ''}">${p.name.replace('Inp','')}</span>
|
||||
</label>
|
||||
`).join('');
|
||||
} catch(e) {
|
||||
grid.innerHTML = `<span style="color:#ef4444;font-size:0.82rem">Error loading params: ${e.message}</span>`;
|
||||
}
|
||||
}
|
||||
|
||||
// Reload params + symbol/timeframe when EA selection changes
|
||||
document.getElementById('ea_name').addEventListener('change', function() {
|
||||
loadEAParams(this.value);
|
||||
});
|
||||
|
||||
function toggleAutonomous(btn) {
|
||||
const isOn = btn.style.background === 'rgb(79, 70, 229)' || btn.classList.contains('on');
|
||||
if (isOn) {
|
||||
btn.style.background = 'rgba(255,255,255,0.12)';
|
||||
btn.classList.remove('on');
|
||||
btn.querySelector('span') && (btn.querySelector('span').style.transform = '');
|
||||
document.getElementById('autonomous-controls').style.display = 'none';
|
||||
document.getElementById('autonomous-mode-val').value = 'false';
|
||||
} else {
|
||||
btn.style.background = '#4f46e5';
|
||||
btn.classList.add('on');
|
||||
document.getElementById('autonomous-controls').style.display = 'block';
|
||||
document.getElementById('autonomous-mode-val').value = 'true';
|
||||
}
|
||||
// Maintain the ::after pseudo-element position via class
|
||||
btn.style.setProperty('--toggle-x', isOn ? '0px' : '20px');
|
||||
}
|
||||
|
||||
// ── Toast helper for inline validation feedback ────────────────────────
|
||||
function showSetupError(msg) {
|
||||
let toast = document.getElementById('setup-toast');
|
||||
if (!toast) {
|
||||
toast = document.createElement('div');
|
||||
toast.id = 'setup-toast';
|
||||
toast.style.cssText = 'position:fixed;top:20px;right:20px;background:rgba(239,68,68,0.95);color:white;padding:0.8rem 1.2rem;border-radius:8px;font-size:0.85rem;font-weight:600;z-index:9999;box-shadow:0 4px 12px rgba(0,0,0,0.3);max-width:380px;line-height:1.4;';
|
||||
document.body.appendChild(toast);
|
||||
}
|
||||
toast.textContent = msg;
|
||||
toast.style.display = 'block';
|
||||
clearTimeout(toast._timer);
|
||||
toast._timer = setTimeout(() => { toast.style.display = 'none'; }, 5000);
|
||||
}
|
||||
|
||||
function validateSetup(data) {
|
||||
if (!data.ea_name || !data.ea_name.trim()) {
|
||||
return 'Please select an EA before starting.';
|
||||
}
|
||||
if (!data.symbol || !data.timeframe) {
|
||||
return 'Symbol and timeframe are required.';
|
||||
}
|
||||
const ds = (s) => new Date((s || '').replace(/\./g, '-'));
|
||||
const ts = ds(data.train_start), te = ds(data.train_end);
|
||||
const vs = ds(data.val_start), ve = ds(data.val_end);
|
||||
if (isNaN(ts) || isNaN(te) || isNaN(vs) || isNaN(ve)) {
|
||||
return 'All four dates must be valid (YYYY-MM-DD).';
|
||||
}
|
||||
if (ts >= te) return 'Training start must come before training end.';
|
||||
if (vs >= ve) return 'Validation start must come before validation end.';
|
||||
if (vs < te) return 'Validation period should start after the training period (walk-forward).';
|
||||
if (data.budget_minutes < 1) return 'Time budget must be at least 1 minute.';
|
||||
if (!data.selected_params || data.selected_params.length === 0) {
|
||||
return 'Pick at least one parameter to optimize.';
|
||||
}
|
||||
if (data.autonomous_mode) {
|
||||
if (data.autonomous_max_iterations < 1 || data.autonomous_max_iterations > 100) {
|
||||
return 'AI max iterations must be between 1 and 100.';
|
||||
}
|
||||
if (data.target_profit_factor < 1) return 'Target profit factor must be ≥ 1.';
|
||||
if (data.target_max_drawdown_pct <= 0 || data.target_max_drawdown_pct > 100) {
|
||||
return 'Target max drawdown must be between 0 and 100 (%).';
|
||||
}
|
||||
}
|
||||
return null; // valid
|
||||
}
|
||||
|
||||
document.getElementById('setup-form').addEventListener('submit', async (e) => {
|
||||
e.preventDefault();
|
||||
const btn = document.getElementById('start-btn');
|
||||
btn.disabled = true;
|
||||
btn.innerHTML = '<span>⏳</span> Starting...';
|
||||
const restoreBtn = () => {
|
||||
btn.disabled = false;
|
||||
btn.innerHTML = '<span>⚡</span> Start Optimization';
|
||||
};
|
||||
|
||||
const form = e.target;
|
||||
const autonomousOn = document.getElementById('autonomous-mode-val').value === 'true';
|
||||
const data = {
|
||||
ea_name: form.ea_name.value,
|
||||
symbol: form.symbol.value,
|
||||
@@ -438,8 +822,23 @@
|
||||
budget_minutes: parseInt(form.budget_minutes.value),
|
||||
selected_params: [...form.querySelectorAll('input[name=selected_params]:checked')]
|
||||
.map(cb => cb.value),
|
||||
// Autonomous loop
|
||||
autonomous_mode: autonomousOn,
|
||||
autonomous_max_iterations: parseInt(document.getElementById('ai-max-iter').value) || 10,
|
||||
target_profit_factor: parseFloat(document.getElementById('ai-target-pf').value) || 1.5,
|
||||
target_max_drawdown_pct: parseFloat(document.getElementById('ai-target-dd').value) || 20.0,
|
||||
target_min_calmar: parseFloat(document.getElementById('ai-target-calmar').value) || 0.5,
|
||||
};
|
||||
|
||||
const validationError = validateSetup(data);
|
||||
if (validationError) {
|
||||
showSetupError(validationError);
|
||||
return;
|
||||
}
|
||||
|
||||
btn.disabled = true;
|
||||
btn.innerHTML = '<span>⏳</span> Starting...';
|
||||
|
||||
try {
|
||||
const resp = await fetch('/api/start', {
|
||||
method: 'POST',
|
||||
@@ -450,14 +849,12 @@
|
||||
if (result.ok) {
|
||||
window.location.href = '/dashboard';
|
||||
} else {
|
||||
alert('Could not start: ' + (result.msg || 'Unknown error'));
|
||||
btn.disabled = false;
|
||||
btn.innerHTML = '<span>⚡</span> Start Optimization';
|
||||
showSetupError('Could not start: ' + (result.msg || 'Unknown error'));
|
||||
restoreBtn();
|
||||
}
|
||||
} catch(err) {
|
||||
alert('Network error: ' + err.message);
|
||||
btn.disabled = false;
|
||||
btn.innerHTML = '<span>⚡</span> Start Optimization';
|
||||
showSetupError('Network error: ' + err.message);
|
||||
restoreBtn();
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
Reference in New Issue
Block a user