Majors Sync | QuantEdgeB

Mar 25

Introducing MajorsSync by QuantEdgeB

🔹Overview
🚀 Dynamic Rotation System for BTC, ETH & SOL
MajorsSync is a powerful, rotation-based strategy designed to systematically identify the leading cryptocurrency among the top three majors: Bitcoin (BTC), Ethereum (ETH), and Solana (SOL).
By analyzing inter-market strength, pairwise trend dominance, and individual trend quality, MajorsSync dynamically shifts exposure toward the asset with the highest potential for outperformance, while de-risking during unfavorable conditions.

✨ Core Objective
📌 To allocate capital to the strongest-performing major—BTC, ETH, or SOL—while avoiding underperformers and unnecessary exposure during uncertain market phases.

🧠 How It Works
Majors Sync uses a multi-tiered decision structure:

🔹 1. Individual Asset Trend Evaluation
Each asset is scored using a Trend Performance Index (TPI). These are proprietary models capturing medium-term momentum and structure for:
• BTC
• ETH
• SOL

🔹 2. Pairwise Relative Strength Matrix
Compute TPI values between the asset pairs:
• ETHBTC → Is ETH stronger than BTC?
• SOLETH → Is SOL stronger than ETH?
• SOLBTC → Is SOL stronger than BTC?
These relative TPI readings help construct a score matrix to rank assets 0–2.

🔹 3. Signal Confirmation
Only when the top-ranked asset has a positive TPI, a Long signal is triggered on that asset.
Otherwise, if no asset meets the threshold, the system remains in Cash/Neutral mode to protect capital.

🧮 Capital Allocation Logic
📊 Allocation always rotates to:
• ✅ The strongest asset with a positive trend
• 🛑 Otherwise, goes neutral/cash (no trade)
This ensures capital is placed in high-probability zones only.

💼 Equity System
🧮 An internal equity engine simulates dynamic capital rotation by reallocating to the top-performing major (BTC, ETH, or SOL) at each bar. This allows for transparent tracking of historical strategy performance.
• 💡 If BTC is the top asset → System follows BTC's price change
• 💡 If ETH becomes dominant → It reallocates to ETH
• 💡 If SOL takes over → Position shifts to SOL
• 📉 No asset qualified? → Strategy holds cash
You also get a Buy & Hold BTC benchmark for direct comparison.
⚠️ This simulation reflects past behavior and is not indicative of future results.

📊 Dashboard & Visuals
The built-in dashboard table displays:
• 🧠 Asset Trends (BTC, ETH, SOL)
• 🧩 Matrix values (e.g., ETH vs BTC, SOL vs ETH)
• 🏁 Final Signal Output (which asset is selected)
• 🔁 Real-time Strategy Equity vs Buy & Hold

💪 Why It Works
Majors Sync blends:
• ✅ Inter-market structure (pairwise dominance)
• ✅ Intra-asset momentum (standalone TPI)
• ✅ Position filtering (only acts on positive signals)
• ✅ Capital efficiency (rotates rather than overtrades)
This design reduces drawdowns, avoids stagnation, and seeks to capture medium-term leadership shifts among the top crypto majors.

📊 MajorSync Backtest Metrics

🔹 Sharpe Ratio
Shows the risk-adjusted return by comparing the strategy's return to its overall volatility. Higher is better — it means you're getting more reward per unit of risk.
🔹 Sortino Ratio
Similar to Sharpe, but focuses only on downside volatility (the bad kind). This makes it a better reflection of how the system handles losses specifically.
🔹 Omega Ratio (Ω)
Measures how often the system generates profitable returns versus unprofitable ones. A value above 1 means it wins more than it loses — and the higher it goes, the better.
🔹 Equity Max Drawdown (Eq.Max DD)
This is the deepest decline from peak equity during the test. Lower drawdown means less risk of big losses.

📌 Disclaimer: Backtest results are based on historical data and past market behavior. Performance is not indicative of future results and should not be considered financial advice. Always conduct your own backtests and research before making any investment decisions. 🚀

🚀 Key Benefits
✔️ Trend-Following + Relative Strength Hybrid
✔️ Rotational Capital Efficiency
✔️ De-risking in Weak Conditions
✔️ Optimized for Swing and Medium-Term Positioning
✔️ Visual Clarity + Smart Allocation

🔧 Settings Overview
• Color Mode – Switch visual palette for the base Trend
• Trend Color – Toggle trend-based bar coloring
• Enable Backtest Table – Show historical performance metrics
• Start Date – Control backtest window

🏁 Conclusion
Majors Sync is your intelligent rotation engine for crypto majors.
Instead of guessing which coin to hold, let the system rotate for you—objectively, consistently, and visually.
📈 Be in BTC when it leads. Switch to ETH or SOL when strength shifts. Sit in cash when needed.

📌 Master the market with precision and confidence | QuantEdgeB

🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.

Apr 3

Release Notes

Custom Settings Added

🌀 Dyn.EMA
- Median Length
Controls the smoothing base for the dynamic EMA. Lower values increase responsiveness.
Default: 2

- Dynamic EMA Length
The main length used to calculate the exponential moving average dynamically.
Default: 8

- SD Bands Length
Determines the lookback window for calculating standard deviation bands around the dynamic
EMA.
Default: 30

% Bollinger
- Base Length
Length parameter used to compute the classic Bollinger Band percentage deviation.
Default: 30

🌊 Alma SD Settings
- SD Alma Length
Period used in the calculation of the standard deviation of the Arnaud Legoux Moving Average
Default: 14

- Normalized Alma Length
Longer window used to normalize the Alma-based volatility readings.
Default: 50

🧠 FRMA Settings
These parameters control two instances of adaptive moving averages and their volatility envelopes.

- FRMA 1 Parameters:
- First MA Length
The base length for calculating the first fractal MA.
Default: 60
- Lower Limit
Minimum responsiveness constraint — the smaller the number, the faster the MA reacts.
Default: 25
- Upper Limit
Maximum smoothing constraint — a higher value slows the MA further.
Default: 80

- FRMA 2 Parameters:
- First MA Length
Default: 30_
- Lower Limit
Adaptive responsiveness lower threshold for the second FRMA.
Default: 18
- Upper Limit
Upper boundary for the second FRMA's smoothing capability.
Default: 80

- Volatility Envelope Weights:
- Upper SD Weight
Determines the scaling factor applied to the upper deviation band.
Default: 0.94
- Lower SD Weight
Determines the scaling factor for the lower deviation envelope.
Default: 1.06

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Would you like a version with UI-style tooltips for Pine Script's `input()` doc lines too?

Apr 7

Release Notes

Update Table Asset colors

Apr 25

Release Notes

Added SUI to the rotation system

Apr 28

Release Notes

🛠️ MajorSync New Feature: Dynamic Allocation Strategies
We are excited to announce the latest upgrade to MajorSync — introducing Dynamic Allocation Modes to better match your risk appetite and market conditions.
🔹 Aggressive Mode
100% allocation into the strongest-performing asset. Perfect for traders seeking maximum exposure to momentum.
🔹 Semi-Aggressive Mode
An optimized 80/20 split between the leading asset and the second-best performer. This method captures upside while reducing concentration risk.
🔹 Conservative Mode
A 60/30/10 distribution, spreading risk across the top three assets. Designed for more cautious traders aiming for stability and steady growth.

Highlights:
• Allocation is updated dynamically based on MajorSync’s internal trend signals.
• Full support for new assets like SUI alongside BTC, ETH, and SOL.
• Customizable settings inside the system dashboard with real-time updates.
• Built for both high-volatility and trending market conditions.

Whether you're an aggressive momentum trader or prefer a balanced approach, MajorSync now automatically adapts for you.

May 16

Release Notes

Fixed spelling mistakes

Release Notes

Table Logic Fixed