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CG REBALANCE STRATEGY VALIDATOR v4.1

Rebalance Strategy Backtest Bot

🔬 Test different parameters, 🌍 market conditions, and ⏱️ timeframes. ⚡ Build optimal strategies in minutes — not months — and save ⏳ time, 💪 effort, and 💸 real trading capital.

⚙️ Parameters
%
%
Coin A Open: -
Coin B Open: -
Coin A Close: -
Coin B Close: -
Select from 100-10000 USDT
Binance 0.1%, KuCoin 0.1%, Coinbase 0.4%, Bybit 0.1%, OKX 0.08%

Disclaimer: This is a simulated backtest tool for research & strategy building only. Results are based on historical data (1m OHLCV Binance) and do not guarantee future results. DYOR.

📋 Parameters Summary
🧾 Performance Overview
📈ROI
--
💰Total P&L
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⛽Total Fee
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🔄Trades/Swaps
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🚀 Hello HODL: Comparative / Benchmark Metrics 🏆

Compare your Rebalancing Strategy vs. Spot Buy & Hold to see how active spot rebalancing (bot) performs against passive holding under similar conditions.

Benchmark ROI (HODL Strategy) -- Your rebalancing strategy: --
Rebalancing Edge 📈--

Your Comparative Analysis & Strategy Insights 💡

Your "Rebalancing Edge" quantifies the benefit of your active management. A positive edge means your chosen rebalancing strategy (ratio/time/both) successfully capitalized on volatility to outperform the static HODL method.

💡 Maximize Your Returns: To build a better spot rebalance strategy, experiment with:

  1. ⚖️ Tighter Ratio Thresholds (2-3%) in sideways or choppy markets — capture short-term volatility without overtrading.
  2. ⏳ Longer Time Intervals (1D-7D) in strong trending markets — reduce transaction fees and let profits compound naturally.
  3. 🧠 Simulate Different Start Dates — market timing can heavily influence results; compare outcomes across various timeframes.
  4. 🧮 Test Multiple Pairs — correlations matter; choose assets with moderate correlation for more effective rebalancing cycles.
  5. 🔁 Blend Static & Dynamic Rebalancing — try hybrid models that adjust thresholds based on volatility or price deviation.
  6. 🚀 Backtest Regularly — markets evolve; continuous testing helps refine and adapt your strategy for changing conditions.
📈 Continue the insights of your rebalancing strategy 👇

Aggregate Metrics
Final Portfolio Value-
Trade Chart (Double-tap to reset)
Trade Logs
TimestampActionCoinQuantityPrice (USDT)Amount (USDT)Fee (USDT)Flow

Portfolio Equilibrium

How the Rebalance Bot Works

We simulate the mathematical transition of capital between assets to maintain your target risk profile, regardless of market drift.

Threshold Drift Logic

Set your Tolerance Band (e.g., 5%). Our engine simulates price movements and triggers a rebalance only when an asset’s weight drifts beyond your limit, optimizing trade frequency.

Smart Execution

Periodic vs. Threshold

Backtest Time-Based rebalancing (Daily/Weekly) against Deviation-Based triggers. See which method captures more "Volatility Growth" while minimizing taxable events.

Strategy Comparison

Multi-Asset Synergy

Simulate up to 10+ assets simultaneously. The bot calculates Cross-Asset Correlation to show how rebalancing into stablecoins or laggards protects your total portfolio equity.

Risk Mitigation

Pre-Built Rebalance Strategies & Proven Setups

— and the freedom to customize or create your own.
See All Rebalance Strategy Lab Playbooks
Strategy 04: The Portfolio Architect

Automate Your
Ideal Risk Profile

Don't let market drift dictate your exposure. Learn how to harvest gains from "pumping" assets and reinvest them into laggards before they catch up.

Best For Diversified Bags
Core Logic Reset Equilibrium
Effort Set & Forget
Open Portfolio Guide
Live Drift Variance
BTC (The Winner)
+15% Drift
ETH (Target)
-15% Gap
Selling Surplus to Reset 50/50 Ratio