🧠 Strategy Builder

The Strategy Builder is Kaizen’s engine for turning raw KOL or wallet data into fully backtested, customizable trading systems.

Instead of blindly copying every call, users can apply filters, define risk rules, and test how each setup performs in real conditions. This removes emotion and guesswork from trading and brings a consistent, data-driven approach to entries and management.

🎯 Why It Matters

Most traders enter and manage positions based on emotion, hype, or randomness. The Strategy Builder replaces that with a data-driven framework that tests what actually works. You can see, in numbers, how your management style performs before risking capital.


βš™οΈ Key Concepts

πŸ” Filters

Selectively extract calls based on over 35 metrics including marketcap, liquidity, token age, holders, volatility, and more. Focus only on conditions that match your strategy instead of every KOL call.

πŸ›‘οΈ Risk Controls

  • TP ladders with up to 5 take-profit levels

  • Stop-loss configuration

  • %-based or fixed entry sizing

  • Define exactly how positions are managed

πŸ“ˆ Simulation

Track net PnL, win rate, drawdown, and portfolio growth using verified KOL data.

⏱️ Backtesting

Run simulations on full KOL channels or filtered subsets to preview realistic results.

🧬 AI Layer (R&D)

An optimization engine designed to:

  • Test filter combinations automatically

  • Discover optimal TP and SL configurations

  • Surface statistically significant edges


🧩 How It Works

  1. Select a KOL or Wallet Choose a verified data source to analyze.

  2. Apply Filters Narrow calls by token metrics, holder distribution, market conditions, or time period.

  3. Define Risk Set position sizing logic, take-profit levels, and stop-loss rules.

  4. Simulate and Backtest Instantly calculate:

    • Win rate

    • Net return

    • Floating and closed PnL

    • Portfolio equity curve

    • Drawdown statistics

Everyone manages risk differently. By backtesting, you can see exactly how your management choices perform, whether aggressive scaling, tight stops, or loose targets, and refine based on data instead of emotion.


πŸ“Š Visual Outputs

  • Equity Curve: Track cumulative growth and volatility

  • Calendar Performance: See which days or periods produce the most edge

  • Win/Loss Streak Chart: Understand consistency and streak risk

  • Trade Replay Mode: Go back in time and replay trades using real data


πŸš€ Use Cases

  • Turn a high-volume KOL into a clean, high-X strategy

  • Simulate multiple strategies and compare risk-return ratios

  • Identify overfit or underperforming filters

  • Build multi-KOL or multi-wallet smart portfolios

  • Convert manual trading styles into automated, rule-based systems

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