feat: brand UI with real APEX logo + auto-running showcase demo

UI:
- Embed the real APEX logo PNG (transparent mark) in dashboard sidebar,
  cmd-header, landing nav, and landing hero (replaces SVG approximations).
- Add favicon.png across all six templates.
- Nudge color palette to brand cyan→blue→purple gradient and silver-white
  wordmark; word-by-word coloring on the cmd-header tagline.
- Drop-shadow glow on logo marks tuned to the brand-blue.

Demo:
- python -m demo.run_demo now defaults to an auto-running showcase: opens
  the dashboard, kicks off a ~3-4 min optimization that exercises every
  phase, and lands on a verdict modal — no manual setup needed.
- Tight per-iteration targets so Phase 2 actually iterates (visible AI loop).
- Skip per-run AI analysis during Phase 1 exploration via APEX_DEMO_SKIP_PHASE1_AI=1
  to keep total runtime down without losing the headline AI loop in Phase 2.
- --quick flag opts back to the original fast/manual flow.
- --loop auto-restarts for unattended screen recording.

Docs:
- README + SUBMISSION updated to describe the new auto-running default.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
LEGSTECH Optimizer
2026-04-25 23:34:25 +00:00
committed by LEGTECH
co-authored by Claude Opus 4.7
parent 96680cde63
commit 33e670aa4c
14 changed files with 295 additions and 127 deletions
+19 -5
View File
@@ -117,16 +117,30 @@ hit **Start**, and watch the AI think.
### Demo mode (no MT5 required)
Don't have MT5 installed? Run the offline demo that feeds synthetic backtest results
through the same AI loop and dashboard:
Don't have MT5 installed? The offline demo feeds synthetic backtest results
through the same AI loop and dashboard. **It auto-starts** — open the link
the script prints, sit back, and watch APEX think:
```bash
python -m demo.run_demo
```
This is the path to use if you're a hackathon judge — you'll see the full thinking feed,
parameterchange panel, validation phase, and verdict screen without needing a Windows
machine with MT5.
That's it. The browser opens to the live dashboard, an optimization kicks off
automatically, and you'll see all three phases play out over ~3-4 minutes:
exploration → AI iteration with reasoning streaming live → out-of-sample +
sensitivity validation → final verdict. Every panel populates so you can see
exactly what the system does.
If you'd rather drive it yourself (configure your own EA, dates, targets), use:
```bash
python -m demo.run_demo --quick # boots the server, you click "New Run"
python -m demo.run_demo --loop # auto-restart between runs (unattended recording)
```
This is the path to use if you're a hackathon judge — you'll see the full
thinking feed, parameter-change panel, validation phase, and verdict screen
without needing a Windows machine with MT5.
---
+3 -2
View File
@@ -81,8 +81,9 @@ https://github.com/tonnylegacy/MT5_Optimizer
No hosted demo (the app runs locally to drive a local MT5 install). For judges:
- **Static**: open `screenshots/apex_demo.gif` in the repo (6frame timelapse of one autonomous run)
- **Run it**: `git clone … && pip install -r requirements.txt && python -m demo.run_demo`opens at `http://localhost:5000` with synthetic backtests, no MT5 required
- **With API key**: set `ANTHROPIC_API_KEY` env var to see live Claude reasoning stream into the Thinking Feed
- **Run it**: `git clone … && pip install -r requirements.txt && python -m demo.run_demo`the browser opens to the dashboard, a ~3-4 minute optimization auto-starts, and every phase (exploration → AI iteration → validation → verdict) plays out without you touching anything
- **With API key**: set `ANTHROPIC_API_KEY` env var (or fill `ai.anthropic_api_key` in `config.yaml`) to see live Claude reasoning stream into the Thinking Feed
- **Faster / your-own-config**: `python -m demo.run_demo --quick` to skip the auto-run and drive the demo from `/setup` yourself
---
+194 -23
View File
@@ -7,16 +7,20 @@ generates synthetic backtest results instead of calling MT5. Lets judges
without a Windows + MT5 install see the full live AI loop, validation,
and verdict flow.
By default, the demo **auto-runs**: it opens the dashboard in your browser
and immediately starts a ~3-4 minute optimization showcasing every phase
(exploration → AI iteration → validation → verdict). No manual setup needed.
Usage:
python -m demo.run_demo
# or
python demo/run_demo.py
python -m demo.run_demo # auto-running showcase (default, ~3-4 min)
python -m demo.run_demo --quick # original fast/manual demo (you click "New Run")
python -m demo.run_demo --loop # auto-restart on completion (for unattended recording)
"""
from __future__ import annotations
import argparse
import os
import sys
import textwrap
from pathlib import Path
import yaml
@@ -83,24 +87,159 @@ def ensure_config() -> None:
print(f" [!] No config.yaml or config.example.yaml — app may fail to start")
def banner() -> None:
def banner(quick: bool = False, loop: bool = False) -> None:
bar = "=" * 72
print(textwrap.dedent(f"""
{bar}
APEX -- DEMO MODE (offline / no MT5)
{bar}
* Backtests are synthetic (deterministic from params + jitter)
* The AI loop, validation, and verdict flow are 100% real
* Set ANTHROPIC_API_KEY to see live AI reasoning
if quick:
mode_line = "APEX -- DEMO MODE (quick / manual)"
body = (
" * Backtests are synthetic; AI reasoning is real if API key is set\n"
" * Per-run latency is short for fast UI testing\n\n"
' Open http://localhost:5000 in your browser, hit "New Run", and\n'
" configure your own optimization."
)
else:
suffix = " [LOOP]" if loop else ""
mode_line = f"APEX -- DEMO MODE (auto-running showcase){suffix}"
body = (
" * Auto-starts a ~3-4 min optimization showing every phase\n"
" * AI reasoning streams live (API key loaded from env or config.yaml)\n"
" * The dashboard opens itself; just sit back or hit your recorder hotkey\n"
" * Heads up: AI API calls add ~12-15s each — actual run can stretch\n"
" to ~5 min depending on Claude latency.\n"
" * To skip the auto-start and configure your own run: --quick"
)
print(f"\n{bar}\n{mode_line.center(72)}\n{bar}\n{body}\n{bar}\n")
Open http://localhost:5000 in your browser, hit "New Run", and
watch the AI think.
{bar}
"""))
# ── Showcase auto-start config ──────────────────────────────────────────────
# Tuned for ~2.5-3 min runtime that actually shows the AI loop iterating:
# * Phase 1 (10 LHS samples × ~2.5s, no AI) ≈ 25-30s
# * Phase 2 (5 AI iterations × ~15-18s incl. analyze + suggest_next_params)
# ≈ 75-90s — targets are deliberately STIFF so the loop can't early-exit
# at iteration 0; Phase 1's best typically lands around PF≈1.9 / Calmar≈1
# which is below these targets, so the AI gets to actually do its job.
# * Phase 3 (1 OOS + 3 sensitivity, each with AI analyze) ≈ 50-60s
# AI call latency dominates the math; the synthetic backtest delay is short.
CINEMATIC_PAYLOAD = {
"ea_name": "APEX_DEMO_EA",
"symbol": "XAUUSD",
"timeframe": "H1",
"train_start": "2022.01.01",
"train_end": "2023.12.31",
"val_start": "2024.01.01",
"val_end": "2024.06.30",
"objective": "balanced",
"budget_minutes": 15,
"autonomous_mode": True,
"autonomous_max_iterations": 5,
"target_profit_factor": 2.5,
"target_max_drawdown_pct": 5.0,
"target_min_calmar": 1.5,
"selected_params": [],
}
def _autostart_cinematic_run(loop: bool = False) -> None:
"""
Background thread: waits for the server to be up, then POSTs /api/start
with cinematic settings. If --loop, polls /api/status and re-triggers
when the pipeline goes idle (so an unattended recording keeps producing
fresh footage).
"""
import json
import time
import urllib.error
import urllib.request
base = "http://127.0.0.1:5000"
def _server_ready() -> bool:
try:
with urllib.request.urlopen(f"{base}/api/status", timeout=2) as r:
return r.status == 200
except Exception:
return False
def _is_running() -> bool:
try:
with urllib.request.urlopen(f"{base}/api/status", timeout=2) as r:
data = json.loads(r.read())
state = (data.get("state") or "").lower()
return state in ("running", "starting")
except Exception:
return False
def _post_start() -> bool:
body = json.dumps(CINEMATIC_PAYLOAD).encode("utf-8")
req = urllib.request.Request(
f"{base}/api/start", data=body,
headers={"Content-Type": "application/json"}, method="POST",
)
try:
with urllib.request.urlopen(req, timeout=5) as r:
resp = json.loads(r.read())
return bool(resp.get("ok"))
except Exception as e:
print(f" [cinematic] /api/start failed: {e}")
return False
# Wait for server to come up (~10 seconds max)
for _ in range(40):
if _server_ready():
break
time.sleep(0.25)
else:
print(" [cinematic] server didn't become ready — aborting auto-start")
return
# Small grace period so the dashboard tab finishes connecting via SocketIO
time.sleep(2.0)
while True:
print(" [cinematic] starting optimization run …")
if not _post_start():
print(" [cinematic] failed to start — retrying in 10s")
time.sleep(10)
continue
# Wait for run to complete (poll until idle for 3 consecutive checks)
idle_streak = 0
while idle_streak < 3:
time.sleep(4)
if _is_running():
idle_streak = 0
else:
idle_streak += 1
if not loop:
print(" [cinematic] run complete — staying on verdict screen")
return
print(" [cinematic] run complete — restarting in 12s for next loop iteration")
time.sleep(12)
def main() -> int:
banner()
parser = argparse.ArgumentParser(
prog="demo.run_demo",
description="APEX offline demo runner.",
)
parser.add_argument(
"--quick", action="store_true",
help="Skip the auto-start showcase. Server boots with fast per-run latency "
"and you drive the demo manually from /setup.",
)
parser.add_argument(
"--loop", action="store_true",
help="Auto-restart a fresh showcase run when each one completes (for unattended "
"screen recording). Ignored with --quick.",
)
parser.add_argument(
"--per-run-seconds", type=float, default=None,
help="Override APEX_DEMO_RUN_SECONDS (default: 5.0 showcase / 1.2 --quick).",
)
args = parser.parse_args()
banner(quick=args.quick, loop=args.loop)
print("Bootstrapping demo environment...")
ensure_config()
@@ -108,14 +247,35 @@ def main() -> int:
# Set the demo flag — the pipeline checks this in _execute_run.
os.environ["APEX_DEMO_MODE"] = "1"
# Per-run latency tunable — keep small so demo feels snappy.
os.environ.setdefault("APEX_DEMO_RUN_SECONDS", "1.2")
# Per-run latency tunable. Default (auto-running showcase) is slower so
# each phase is visible long enough to film and narrate over.
if args.per_run_seconds is not None:
os.environ["APEX_DEMO_RUN_SECONDS"] = str(args.per_run_seconds)
elif args.quick:
os.environ.setdefault("APEX_DEMO_RUN_SECONDS", "1.2")
else:
# 2.5s synthetic delay; AI call latency dominates total runtime anyway
os.environ.setdefault("APEX_DEMO_RUN_SECONDS", "2.5")
# Skip per-run AI analysis during Phase 1 exploration so the demo
# finishes in ~3-4 min. Phase 2's autonomous AI loop (the headline
# feature) still streams reasoning live.
os.environ.setdefault("APEX_DEMO_SKIP_PHASE1_AI", "1")
if "ANTHROPIC_API_KEY" not in os.environ:
print(" [!] ANTHROPIC_API_KEY not set — AI reasoning will be skipped (synthetic metrics still flow).")
# AI reasoner pulls from env var OR config.yaml ai.anthropic_api_key
cfg_has_key = False
try:
cfg = yaml.safe_load(CONFIG.read_text()) if CONFIG.exists() else {}
cfg_has_key = bool(((cfg or {}).get("ai") or {}).get("anthropic_api_key", "").strip())
except Exception:
pass
if not (os.environ.get("ANTHROPIC_API_KEY", "").strip() or cfg_has_key):
print(" [!] No API key in env (ANTHROPIC_API_KEY) or config.yaml — AI reasoning will be skipped.")
else:
src = "config.yaml" if cfg_has_key else "env var"
print(f" [ok] API key found in {src} — AI reasoning enabled.")
print()
print("Launching APEX server at http://localhost:5000 ...")
print(f"Launching APEX server at http://localhost:5000 (per-run: {os.environ['APEX_DEMO_RUN_SECONDS']}s) ...")
sys.path.insert(0, str(ROOT))
# Import after env vars are set so the pipeline picks them up.
import threading
@@ -126,11 +286,22 @@ def main() -> int:
import time as _t
_t.sleep(1.5)
try:
webbrowser.open("http://localhost:5000")
# In auto-running mode jump straight to the dashboard so the user sees
# the live run unfold; in --quick mode land on the landing page.
url = "http://localhost:5000" if args.quick else "http://localhost:5000/dashboard"
webbrowser.open(url)
except Exception:
pass
threading.Thread(target=_open_browser, daemon=True).start()
if not args.quick:
threading.Thread(
target=_autostart_cinematic_run,
kwargs={"loop": args.loop},
daemon=True,
).start()
socketio.run(
flask_app, host="0.0.0.0", port=5000,
debug=False, use_reloader=False, allow_unsafe_werkzeug=True,
+11 -5
View File
@@ -898,11 +898,17 @@ class OptimizationPipeline:
delay = float(os.environ.get("APEX_DEMO_RUN_SECONDS", "1.5"))
time.sleep(max(0.05, delay))
# Run AI reasoning if enabled — same flow as live mode
try:
self._reason_about_run(run_id, metrics, [], params)
except Exception:
pass
# Run AI reasoning if enabled — same flow as live mode.
# In showcase mode (APEX_DEMO_SKIP_PHASE1_AI=1) we skip Phase 1's
# per-run AI analysis to keep total runtime to ~3-4 min. The AI loop
# in Phase 2 — where reasoning actually drives parameter changes — is
# untouched, so the headline feature is still visible.
skip_p1_ai = os.environ.get("APEX_DEMO_SKIP_PHASE1_AI", "").strip() in ("1", "true", "yes")
if not (skip_p1_ai and phase.startswith("phase1")):
try:
self._reason_about_run(run_id, metrics, [], params)
except Exception:
pass
return ranker.make_result(run_id, params, phase, metrics)
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+42 -56
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@@ -4,6 +4,7 @@
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>APEX — AI-Powered EA Optimizer</title>
<link rel="icon" type="image/png" href="/static/img/favicon.png">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin>
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
@@ -16,16 +17,19 @@
--card-hover: #131d35;
--border: rgba(255,255,255,0.07);
--border-hover: rgba(255,255,255,0.14);
--accent: #4f46e5;
--accent2: #7c6dfa;
--brand-cyan: #00d4ff;
--brand-blue: #4f6cff;
--brand-purple: #9333ea;
--accent: #4f6cff;
--accent2: #8b5cf6;
--teal: #00d4aa;
--text: #e2e8f0;
--muted: #64748b;
--green: #10b981;
--red: #ef4444;
--yellow: #f59e0b;
--nav-active-bg: rgba(79,70,229,0.18);
--nav-active-border: #4f46e5;
--nav-active-bg: rgba(79,108,255,0.18);
--nav-active-border: #4f6cff;
}
/* ── Reset ──────────────────────────────────────────────────── */
@@ -70,11 +74,17 @@
border-bottom: 1px solid var(--border);
margin-bottom: 0.75rem;
}
.logo-mark,
.cmd-mark {
display: block;
flex-shrink: 0;
filter: drop-shadow(0 0 10px rgba(79,108,255,0.3));
}
.logo-text {
font-size: 1.25rem;
font-weight: 800;
letter-spacing: 0.12em;
background: linear-gradient(135deg, #7c6dfa, #00d4aa);
background: linear-gradient(180deg, #ffffff 0%, #d4dae6 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
@@ -82,11 +92,12 @@
.logo-tagline {
font-size: 0.58rem;
color: var(--muted);
font-weight: 400;
letter-spacing: 0.06em;
font-weight: 600;
letter-spacing: 0.08em;
text-transform: uppercase;
display: block;
line-height: 1;
margin-top: -2px;
margin-top: 2px;
-webkit-text-fill-color: var(--muted);
}
@@ -217,7 +228,7 @@
content: '';
position: absolute;
top: 0; left: 0; right: 0; height: 1px;
background: linear-gradient(90deg, rgba(0,229,255,0.45), rgba(79,70,229,0.55), rgba(124,58,237,0.45));
background: linear-gradient(90deg, rgba(0,212,255,0.55), rgba(79,108,255,0.65), rgba(147,51,234,0.55));
}
.cmd-logo {
display: flex;
@@ -234,19 +245,22 @@
font-size: 1.05rem;
font-weight: 800;
letter-spacing: 0.14em;
background: linear-gradient(135deg, #00e5ff 0%, #4f46e5 50%, #7c3aed 100%);
background: linear-gradient(180deg, #ffffff 0%, #d4dae6 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
background-clip: text;
}
.cmd-tagline {
font-size: 0.46rem;
font-weight: 600;
letter-spacing: 0.1em;
color: var(--muted);
font-size: 0.5rem;
font-weight: 700;
letter-spacing: 0.18em;
text-transform: uppercase;
-webkit-text-fill-color: var(--muted);
display: inline-flex;
gap: 0.35em;
}
.cmd-tagline .tag-cyan { color: #00d4ff; }
.cmd-tagline .tag-purple { color: #b06bff; }
.cmd-tagline .tag-white { color: #cfd5e0; }
.cmd-sep {
width: 1px;
height: 30px;
@@ -310,7 +324,7 @@
}
.cmd-prog-fill {
height: 100%;
background: linear-gradient(90deg, #00e5ff, #4f46e5);
background: linear-gradient(90deg, #00d4ff, #4f6cff, #9333ea);
border-radius: 999px;
transition: width 0.5s ease;
}
@@ -347,8 +361,9 @@
white-space: nowrap;
}
.cmd-btn-start {
background: linear-gradient(135deg, #4f46e5, #7c6dfa);
background: linear-gradient(135deg, #4f6cff 0%, #9333ea 100%);
color: white;
box-shadow: 0 0 0 1px rgba(147,51,234,0.4), 0 4px 14px rgba(79,108,255,0.25);
}
.cmd-btn-start:hover { opacity: 0.88; }
.cmd-btn-pause {
@@ -399,7 +414,7 @@
position: absolute;
top: 0; left: 0; right: 0;
height: 2px;
background: linear-gradient(90deg, var(--accent), var(--accent2));
background: linear-gradient(90deg, #00d4ff, #4f6cff, #9333ea);
opacity: 0;
transition: opacity 0.2s;
}
@@ -1629,27 +1644,10 @@
<!-- Logo -->
<div class="logo-wrap">
<svg width="36" height="40" viewBox="0 0 40 44" fill="none" xmlns="http://www.w3.org/2000/svg">
<defs>
<linearGradient id="logoGrad" x1="0%" y1="0%" x2="100%" y2="100%">
<stop offset="0%" stop-color="#00e5ff"/>
<stop offset="45%" stop-color="#4f46e5"/>
<stop offset="100%" stop-color="#7c3aed"/>
</linearGradient>
<clipPath id="sbTriClip">
<polygon points="20,2 39,40 1,40"/>
</clipPath>
</defs>
<polygon points="20,2 39,40 1,40" fill="rgba(79,70,229,0.08)" stroke="url(#logoGrad)" stroke-width="2" stroke-linejoin="round"/>
<line x1="10" y1="30" x2="30" y2="30" stroke="url(#logoGrad)" stroke-width="1.5"/>
<rect x="11" y="31" width="4" height="8" rx="0.8" fill="url(#logoGrad)" opacity="0.5" clip-path="url(#sbTriClip)"/>
<rect x="17" y="24" width="4" height="15" rx="0.8" fill="url(#logoGrad)" opacity="0.75" clip-path="url(#sbTriClip)"/>
<rect x="23" y="18" width="4" height="21" rx="0.8" fill="url(#logoGrad)" clip-path="url(#sbTriClip)"/>
<polyline points="8,38 17,27 22,30 33,16" stroke="#00e5ff" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" clip-path="url(#sbTriClip)" opacity="0.9"/>
</svg>
<img src="/static/img/apex-mark.png" alt="APEX" class="logo-mark" width="38" height="42">
<div>
<span class="logo-text">APEX</span>
<span class="logo-tagline">AI Optimizer</span>
<span class="logo-tagline">AI Powered Optimizer</span>
</div>
</div>
@@ -1728,27 +1726,15 @@
<!-- Logo -->
<div class="cmd-logo">
<svg width="32" height="36" viewBox="0 0 40 44" fill="none" xmlns="http://www.w3.org/2000/svg">
<defs>
<linearGradient id="hdrLogoGrad" x1="0%" y1="0%" x2="100%" y2="100%">
<stop offset="0%" stop-color="#00e5ff"/>
<stop offset="45%" stop-color="#4f46e5"/>
<stop offset="100%" stop-color="#7c3aed"/>
</linearGradient>
<clipPath id="hdrTriClip">
<polygon points="20,2 39,40 1,40"/>
</clipPath>
</defs>
<polygon points="20,2 39,40 1,40" fill="rgba(79,70,229,0.09)" stroke="url(#hdrLogoGrad)" stroke-width="1.8" stroke-linejoin="round"/>
<line x1="10" y1="30" x2="30" y2="30" stroke="url(#hdrLogoGrad)" stroke-width="1.4"/>
<rect x="11" y="31" width="4" height="8" rx="0.8" fill="url(#hdrLogoGrad)" opacity="0.5" clip-path="url(#hdrTriClip)"/>
<rect x="17" y="24" width="4" height="15" rx="0.8" fill="url(#hdrLogoGrad)" opacity="0.75" clip-path="url(#hdrTriClip)"/>
<rect x="23" y="18" width="4" height="21" rx="0.8" fill="url(#hdrLogoGrad)" clip-path="url(#hdrTriClip)"/>
<polyline points="8,38 17,27 22,30 33,16" stroke="#00e5ff" stroke-width="1.5" stroke-linecap="round" stroke-linejoin="round" clip-path="url(#hdrTriClip)" opacity="0.9"/>
</svg>
<img src="/static/img/apex-mark.png" alt="APEX" class="cmd-mark" width="34" height="38">
<div class="cmd-logo-text">
<span class="cmd-apex">APEX</span>
<span class="cmd-tagline">AI Powered EA Optimizer</span>
<span class="cmd-tagline">
<span class="tag-cyan">AI</span>
<span class="tag-white">POWERED</span>
<span class="tag-purple">EA</span>
<span class="tag-white">OPTIMIZER</span>
</span>
</div>
</div>
+2 -1
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@@ -3,7 +3,8 @@
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>MT5 EA Optimizer — Live Dashboard</title>
<title>APEX — Live Dashboard</title>
<link rel="icon" type="image/png" href="/static/img/favicon.png">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&family=JetBrains+Mono:wght@400;500&display=swap" rel="stylesheet">
<link rel="stylesheet" href="/static/css/style.css">
+19 -33
View File
@@ -4,12 +4,16 @@
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>APEX — AI-Powered EA Optimizer</title>
<link rel="icon" type="image/png" href="/static/img/favicon.png">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800;900&display=swap" rel="stylesheet">
<style>
:root {
--bg: #080d1a;
--accent: #4f46e5;
--accent2: #7c6dfa;
--brand-cyan: #00d4ff;
--brand-blue: #4f6cff;
--brand-purple: #9333ea;
--accent: #4f6cff;
--accent2: #8b5cf6;
--teal: #00d4aa;
--text: #e2e8f0;
--muted: #64748b;
@@ -72,6 +76,15 @@
align-items: center;
gap: 0.75rem;
}
.nav-mark,
.hero-mark {
display: block;
flex-shrink: 0;
filter: drop-shadow(0 0 14px rgba(79,108,255,0.35));
}
.hero-mark {
filter: drop-shadow(0 0 28px rgba(79,108,255,0.45));
}
.nav-logo-text {
font-size: 1.25rem;
@@ -145,7 +158,7 @@
font-weight: 900;
letter-spacing: -0.04em;
line-height: 1;
background: linear-gradient(135deg, #ffffff 0%, #c7d2fe 50%, #00d4aa 100%);
background: linear-gradient(135deg, #ffffff 0%, #c7d2fe 50%, #b06bff 100%);
-webkit-background-clip: text;
-webkit-text-fill-color: transparent;
}
@@ -239,7 +252,7 @@
font-size: 4rem;
font-weight: 900;
letter-spacing: 0.1em;
background: linear-gradient(135deg, #4f46e5, #00d4aa);
background: linear-gradient(135deg, #00d4ff, #4f6cff, #9333ea);
-webkit-background-clip: text; -webkit-text-fill-color: transparent;
opacity: 0.15;
pointer-events: none;
@@ -307,20 +320,7 @@
<!-- Navbar -->
<nav class="navbar">
<div class="nav-logo">
<svg width="32" height="32" viewBox="0 0 36 36" fill="none">
<polygon points="18,2 34,32 2,32" fill="url(#logoGradL)" opacity="0.15"/>
<polygon points="18,8 30,30 6,30" fill="url(#logoGradL)" opacity="0.3"/>
<path d="M18 6L22 14H14L18 6Z" fill="url(#logoGradL)"/>
<rect x="11" y="22" width="3" height="8" rx="1" fill="#00d4aa"/>
<rect x="16" y="18" width="3" height="12" rx="1" fill="#00d4aa" opacity="0.8"/>
<rect x="21" y="14" width="3" height="16" rx="1" fill="#00d4aa" opacity="0.6"/>
<defs>
<linearGradient id="logoGradL" x1="0" y1="0" x2="1" y2="1">
<stop offset="0%" stop-color="#4f46e5"/>
<stop offset="100%" stop-color="#00d4aa"/>
</linearGradient>
</defs>
</svg>
<img src="/static/img/apex-mark.png" alt="APEX" class="nav-mark" width="34" height="38">
<span class="nav-logo-text">APEX</span>
</div>
<div class="status-pill" id="status-pill">
@@ -335,21 +335,7 @@
<div class="hero-badge">&#10022; Hackathon Edition 2026</div>
<div class="hero-logo-row">
<svg width="72" height="72" viewBox="0 0 72 72" fill="none">
<polygon points="36,4 68,64 4,64" fill="url(#heroGrad)" opacity="0.12"/>
<polygon points="36,16 60,60 12,60" fill="url(#heroGrad)" opacity="0.25"/>
<path d="M36 12L44 28H28L36 12Z" fill="url(#heroGrad)"/>
<path d="M33 20L36 13L39 20" stroke="#00d4aa" stroke-width="1.5" fill="none" stroke-linecap="round"/>
<rect x="22" y="44" width="6" height="16" rx="2" fill="#00d4aa" opacity="0.9"/>
<rect x="33" y="36" width="6" height="24" rx="2" fill="#00d4aa" opacity="0.7"/>
<rect x="44" y="28" width="6" height="32" rx="2" fill="#00d4aa" opacity="0.5"/>
<defs>
<linearGradient id="heroGrad" x1="0" y1="0" x2="1" y2="1">
<stop offset="0%" stop-color="#4f46e5"/>
<stop offset="100%" stop-color="#7c6dfa"/>
</linearGradient>
</defs>
</svg>
<img src="/static/img/apex-mark.png" alt="APEX" class="hero-mark" width="120" height="132">
</div>
<div class="hero-title">APEX</div>
+2 -1
View File
@@ -2,7 +2,8 @@
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Run {{ run_id }} — MT5 Optimizer Report</title>
<title>Run {{ run_id }} — APEX Report</title>
<link rel="icon" type="image/png" href="/static/img/favicon.png">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&family=JetBrains+Mono&display=swap" rel="stylesheet">
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
+1
View File
@@ -3,6 +3,7 @@
<head>
<meta charset="UTF-8">
<title>Reports — APEX MT5 Optimizer</title>
<link rel="icon" type="image/png" href="/static/img/favicon.png">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700;800&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet">
<style>
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
+2 -1
View File
@@ -3,7 +3,8 @@
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>New Optimization — MT5 Smart Optimizer</title>
<title>New Optimization — APEX</title>
<link rel="icon" type="image/png" href="/static/img/favicon.png">
<link rel="preconnect" href="https://fonts.googleapis.com">
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@300;400;500;600;700;800&display=swap" rel="stylesheet">
<style>