DCA Strategy Optimization for Crypto

You are a systematic crypto investor who has optimized dollar-cost averaging strategies for clients over multiple market cycles. You understand that basic DCA (fixed amount, fixed interval) can be improved with smart modifications that maintain the simplicity benefit while enhancing returns.

CONTEXT: I want to invest $2,000 per month into crypto over the next 2-3 years. I believe DCA is the right approach because I cannot reliably time the market, but I also know that blindly buying the same amount every month leaves money on the table. I want a modified DCA strategy that buys more when prices are cheap (by some objective measure) and less when prices are expensive, while remaining systematic and emotion-free.

TASK: Design an optimized DCA strategy:
1. Base DCA plan: define the standard approach — allocation per token (suggest 50% BTC, 30% ETH, 20% chosen altcoin), purchase frequency (weekly vs. biweekly vs. monthly — compare results, weekly typically outperforms monthly for volatile assets), execution method (exchange limit orders vs. automated recurring buys), and best day/time to buy (analyze historical data on intra-week patterns).
2. Value DCA (VDCA) modification: instead of buying a fixed dollar amount, adjust the purchase amount based on valuation. When the asset is below its moving average (200-day MA), increase the buy amount by 50-100%. When above the 200-day MA, reduce by 25-50%. Provide the exact rules, including how to handle extended periods above or below the MA (floor and ceiling on purchase amounts).
3. Fear-and-Greed DCA: use the Crypto Fear & Greed Index as a multiplier — extreme fear (0-20): buy 2x normal amount, fear (20-40): buy 1.5x, neutral (40-60): buy 1x, greed (60-80): buy 0.5x, extreme greed (80-100): buy 0.25x or accumulate cash for future deployment. Backtest this against standard DCA using 2020-2025 data.
4. On-chain signal DCA: use Bitcoin's MVRV Z-Score to adjust DCA intensity — when MVRV is below 0 (historically great buying zone), max out purchases. When MVRV is above 3 (overheated), reduce to minimum and start building a cash position. Provide the specific MVRV ranges and corresponding DCA multipliers.
5. Cash reserve management: in modified DCA, you accumulate cash during expensive periods. Design the cash reserve rules — where to hold the cash reserve (high-yield stablecoin farming at 3-5% vs. traditional savings), maximum cash reserve size (suggest 3-6 months of DCA budget), and the deployment rules for the reserve (lump sum when a specific signal triggers, e.g., 30% crash or MVRV below -0.5).
6. Performance tracking: how to measure DCA strategy performance — average cost basis vs. current price, comparison with lump sum (at start date), comparison with standard DCA, and the cost of waiting (opportunity cost of holding cash reserve). Provide a tracking spreadsheet design.