WhaleVibe – Quantitative Framework for Systematic SPY Trading

WhaleVibe combines our proprietary quantitative model, cross-market data from 10 assets, and a deterministic rotational engine with 26 years of history for systematic SPY ETF trading.

What is WhaleVibe?

WhaleVibe is a fully autonomous quantitative framework built around the SPDR S&P 500 ETF (SPY). At the core of the system is our proprietary deterministic model, which analyzes institutional liquidity flows, sector rotation, credit spreads, and the term structure of volatility in real time across 10 key instruments.

This model underwent extensive independent testing and benchmarking, enabling the transition to a fully autonomous, deterministic 26-year model with expanded feature engineering (168 dimensions). All external data dependencies were replaced by our own internal computation.

The system generates unambiguous long/short trading signals with dynamic capital allocation and immediate position rotation. In the production SmartWhales Alpha mode, it allocates 100% of capital to a single optimal active position, eliminating counter-trend holding. For prop trading challenges (Fintokei), it utilizes the protective Prop Shield mode (50% allocation). The entire model is backed by an uncompromising 26-year audit (2000–2026, 6,695 trading days) with strict separation of In-Sample and Out-of-Sample periods.

Key Features

  • Three Daily Automated Milestones for SPY:
    • 09:50 NY (13:50 UTC Summer / 14:50 UTC Winter): Morning execution (SPY_OPEN) for morning strategies.
    • 15:40 NY (19:40 UTC Summer / 20:40 UTC Winter): Pre-Close model computation (168 dimensions, determining sentiment and market regime Bull / Neutral / Bear 20 min before market close).
    • 16:20 NY (20:20 UTC Summer / 21:20 UTC Winter): Evening execution (SPY_CLOSE) for evening strategies.
  • Our Proprietary Model: 168-dimensional feature vector across 10 market instruments (SPY, IWM, XLY, XLP, ACWX, HYG, IEF, TLT, VIX, VIX3M) with a regime filter protecting capital against trading counter to macro trends.
  • Alpha Rotational Engine & Immediate Reversal: Dynamic position management without lingering in counter-trends – incoming signals immediately replace active positions and concentrate 100% of capital.
  • Reliable Data Sources: Twelve Data, Alpha Vantage, Stooq, FRED, Yahoo Finance with automatic multi-tier fallback mechanism
  • Mobile Optimized: Responsive design for access from anywhere
  • MetaTrader Integration: Automated EA for MT5 and MT4 with automatic profile detection for instantaneous signal processing

Active Strategies & Risk Management

  • SPY (S&P 500 ETF): 6,695 trading days (26+ years, 2000–2026) covering complete market cycles including 5 global crises.
  • 3+2 Architecture (3 Morning + 2 Evening Strategies):
    • SmartWhales Alpha: 100% capital allocation into 1 active position (S18, S12, S17 morning + S231, S121 evening) with immediate rotation.
    • Fintokei Prop Shield: 50% capital allocation with low drawdown (S18, S12, S14 morning + S231, S121 evening).
  • Forex (Currency Pairs): 3 research strategies (EURUSD, USDJPY, USDCZK) across 8,200+ days of H1 data – in laboratory research stage, not in production.

Technical Specifications

  • Uptime: 99%+ – pipeline triggered by a dedicated OCI Trigger Engine (Ubuntu 24.04, systemd.timer on app.smartwhales.cz), triggering GitHub Actions via REST API with second-precision and zero latency
  • Expert Advisor: MV_SignalWhale v1.17 (MT5) / v1.4 (MT4) with built-in reversal mode, automated HUD panel, and dynamic capital scaling based on current Equity
  • Response Time: < 2 seconds for API endpoints
  • Security: HTTPS encryption, role-based access control, API key protection
  • Notifications: Automated email alerts on trade actions

Who is WhaleVibe for?

The system is designed for systematic traders seeking:

  • Automation of trading processes
  • Consistent strategy execution without human error
  • Complete audit trail of all trading signals
  • Secure access to signals from any device
  • Professional tools for performance monitoring

Version: 7.11 (Proprietary Engine & Alpha Rotational v1.1) | Status: ✅ Production System (SPY) | 🟡 Research Phase (FX)

🔴 Who trading WhaleVibe is NOT For

Before you sign up, read this. WhaleVibe is a specific tool for a specific group of traders. If you're looking for any of the following, we are NOT for you:

❌ Guaranteed Profit
We don't guarantee profits. Past results ≠ future returns. Every strategy can have drawdowns and losing periods.
❌ "Set and Forget" System
Requires active monitoring, understanding of risks, and manual intervention in extreme situations.
❌ Replacement for Market Understanding
WhaleVibe is a tool for systematic traders. If you don't understand SPY, trends, drawdowns - start elsewhere.
❌ Day Trading / Scalping
Strategies are swing/position trading (days to weeks). Not for intraday traders.
❌ AI "Black Box" Without Transparency
We do not use generative AI or opaque neural networks prone to hallucinations. We use exact mathematical feature engineering (168 dimensions), custom regime filters, and a deterministic XGBoost inference model with fixed rules and stop-losses.

✅ WhaleVibe IS for:

  • Systematic traders who want automation of proven strategies
  • Asset managers who need transparent statistics
  • Developers/fintech firms looking for white-label signal server
  • People who tolerate drawdowns and understand market risk

📊 SPY Production Strategies (Proprietary Model Audit 2000–2026)

Status: ✅ Production Operation (In-Sample & Out-of-Sample audit)
Frequency: 3+2 Model (Morning execution 09:50 NY, Pre-Close computation 15:40 NY, Evening execution 16:20 NY)
Data Coverage: 26+ years (2000–2026, 6,695 trading days, 5 market crises)

Two Distinct Capital Management Profiles:

  • SmartWhales Alpha (100% Rotational): Combination of S18 + S12 + S17 (morning) and S231 + S121 (evening) → 100% allocation on 1 active position with immediate rotation → 26-year cumulative portfolio return +1,245.9% (+10.26% p.a.) and +36.7% (+9.01% p.a.) for 2023–2026 with low Max Drawdown (-14.88%).
  • Fintokei Prop Shield (50% Sizing): Combination of S18 + S12 + S14 (morning) and S231 + S121 (evening) → 50% allocation for strict account safety in prop firm challenges → historical max portfolio drawdown only -7.87%.

🐳 WhalePlus – CFD Variant (Higher Risk/Reward)

WhalePlus is an alternative implementation of WhaleVibe strategies using leveraged products (CFDs). Same signals, different asset and leverage:

WhaleVibe (SPY) WhalePlus (CFD)
Asset S&P 500 ETF (SPY) SPY CFD with leverage
Leverage 1:1 (no leverage) 2:1 – 5:1
Backtest (26+ yrs) 3+2 Model (2000–2026) N/A (live only)
Live Return (2024-2026) +35.57% (see client interface) 100%+ p.a. on MQL5
Max Drawdown -3.7% to -15.0% (per strategy) -43.7%
Target Audience Retail / Conservative Professionals / Risk-tolerant

Important Note: WhalePlus uses the same strategies as WhaleVibe, but with a leveraged product (CFD) for greater exposure. Higher CAGR means higher drawdown. It's not a different backtested system, but a different implementation of the same framework.

⚠️ Disclaimer: These are backtest results for SPY strategies (2000–2026). For live performance, see MQL5 Smartwhales (65+ weeks, 100%+ p.a. on leveraged CFD). WhalePlus achieves higher CAGR but shows significantly higher drawdown (-43.7%) due to leverage. This is an aggressive implementation of the same framework, while pure SPY strategies maintain defined risk with much lower drawdowns. Past performance is not a guarantee of future results.

🐳 WhaleVibe Combined (SW + SVE) – Maximum Stability

This strategy combines two complementary approaches to systematic SPY trading to achieve high stability and robust capital growth across economic cycles. Capital is split 50/50 between the equity and options components (18-year audit 2008–2025).

Portfolio Composition:

  • SmartWhales SPY (Equity Component): 100% Alpha Rotational model on SPY (3 morning + 2 evening strategies) with immediate position rotation and proprietary macro-regime filtering (26-year dataset 2000–2026, 168 dimensions).
  • WhaleVibe SVE v3.8 (Options Component): Systematic credit Bull Put Spread selling on SPY with regime detection (VIX, sentiment number/trend/velocity), 20 dynamic slots, strict Stop Loss, and Profit Target (18-year tick options archive 2008–2025, 24.6 million records).

Key Performance Metrics (2008–2025 / 18 Years)

Metric Value Note
CAGR +24.86 % Compound Annual Growth Rate across the entire combined portfolio
Max Drawdown -10.94 % Maximum historical portfolio drawdown (through both 2008 crisis & 2020 COVID crash)
Calmar Ratio 2.27 Risk-adjusted return (CAGR / MaxDD)
Activity ~460 trades / year Consolidated trading activity of both components
Profitable Years 17 of 18 (94.4 %) Only 1 year with minor pullback (-1.67% in 2014)
Total Capital Growth 53.4x (+5,238 %) Total capital growth over 18 years

1. Cumulative Equity Curve (Log Scale, 2008–2025)

The cumulative equity chart is presented on a logarithmic scale (Log Scale), providing clear visual comparison across both components despite differing asset mechanics:

  • SmartWhales (ETF): Operates as a 1.0x unleveraged cash spot allocation (safe holding of SPY shares, zero margin call risk). Grew from 1.0x to 6.83x over 18 years (+583% / ~10.3% p.a.).
  • WhaleVibe SVE (Options): Leverages option time decay (Theta) distributed across 20 dynamic slots. In 2008–2009 (with VIX reaching up to 80), written spreads collected extreme option premiums (+96.4% in 2008 and +199.7% in 2009), multiplying the base from 1.0x to 5.9x in 2 years and compounding to 352.0x overall.
  • Combined 50/50 Portfolio: Marries equity trend stability with high option cash-flow, delivering a total growth of 53.4x (+5,238% total / +24.86% p.a.) with a maximum drawdown of only -10.94%.
Cumulative Equity WhaleVibe Combined (Log Scale 2008–2025)

2. Annual Performance, Drawdown, and Trade Count (2008–2025)

Detailed performance breakdown of the combined portfolio over the full 18-year period (2008–2025) highlighting 3 key dimensions:

  • Annual Profitability (Profit %): 17 profitable years out of 18 (94.4% positive year rate). Returns range from steady +3.8% up to +199.7% during peak market volatility.
  • Maximum Annual Drawdown (Max DD %): Strictly controlled risk – even during severe market stress (2008: -6.9%, 2020: -9.6%), drawdown never exceeded -11% (the lowest annual drawdown was just -1.9%).
  • Activity & Trade Count: Highly consistent execution frequency averaging ~460 trades per year (ranging between 384 and 497 trades/year).
Annual Performance, Drawdown, and Trade Count WhaleVibe Combined (2008–2025)

🧪 FX Research Strategies (3 total: EURUSD, USDJPY, USDCZK)

Status: 🟡 Research phase (NOT recommended for real trading yet)
Timeline:

  • Q2 2026: Beta testing with selected users
  • Q3 2026: Production ready (after 6+ months live validation)

Data coverage: 8,200+ days H1 data per pair (2003-2025)

Why "research phase"?

  • ✅ Backtest complete (19 years history)
  • ✅ Live data collection (3+ months)
  • ❌ Insufficient live validation (we need 6+ months)
  • ❌ Not enough diversification across markets

What does this mean for you?

  • If you're looking for FX signals ONLY → wait until Q3 2026
  • If you want SPY + FX research access → contact us
  • If you're a beta tester → sign up for testing

⚙️ Infrastructure: Trigger Engine v1.1

Native GitHub Actions schedule: cron triggers on public runners suffered delays of 15–45 minutes, jeopardising the integrity of signals tied to precise market windows (US market open and close). The problem was solved with a custom deterministic Trigger Engine.

Architecture (three layers)

🕐 Scheduler

systemd.timer – second-precision scheduling. Two timer sets (SUMMER / WINTER) handle US market DST transitions. Switching is done via systemctl enable/disable.

🔧 Executor

systemd.service – isolated script execution in a separate process, logging to the systemd journal, automatic restart on failure.

🐍 Trigger

trigger.py (Python + Requests) – calls the GitHub REST API to fire .yml action files. PAT token is stored securely.

Result

  • ⏱️ Scheduling accuracy: from ±45 minutes to < 1 second
  • 🖥️ Server: app.smartwhales.cz (OCI, Ubuntu 24.04 LTS)
  • 📦 Deployment: setup_oci.sh – directory structure, Python venv, systemd registration
  • 🟡 FX pipeline timers: prepared in code, will be activated when FX production launches (Q3 2026)