| name | dca-strategy |
| description | Implement Dollar Cost Averaging for systematic long-term accumulation. Use when building positions over time, reducing timing risk, or accumulating during uncertainty. |
| license | Apache-2.0 |
| metadata | {"author":"ske-labs","version":"4.0"} |
Dollar Cost Averaging (DCA)
Invest new cash on a fixed schedule. Distinguish paycheck-style periodic investing from deliberately delaying a lump sum that is already available.
DCA Mechanics
Each Purchase = Fixed Amount / Current Price
Average Cost = Total Spent / Total Units Acquired
Example ($100/week):
- Week 1: $100 / $50 = 2.0 units
- Week 2: $100 / $40 = 2.5 units
- Week 3: $100 / $60 = 1.67 units
- Total: 6.17 units for $300 (avg cost: $48.62)
DCA Variants
| Variant | Description |
|---|
| Fixed Interval | Same amount every week/month -- simplest |
| Value Averaging | Adjust amount to hit a target portfolio value |
| Enhanced DCA | Base amount + bonus when price drops below MA |
| Lump Sum + DCA | Deploy 50% immediately, DCA the remaining 50% |
Asset Eligibility
| Candidate | Reject or escalate |
|---|
| Diversified, liquid exposure | Unclear rights or custody |
| Assets with a documented thesis | Failing liquidity or security |
| Instruments compatible with the horizon | Position already above its risk cap |
Workflow
-
Capture the plan: goal, horizon, target allocation, contribution amount, frequency, funding source, custody, fees, and maximum allocation. Do not change the schedule from short-term price forecasts.
-
Check allocation drift and current price context:
get_candles(symbol="BTC/USD", exchange="binance", interval="1d", count=1)
get_indicators(indicator_code="sma_50", symbol="BTC/USD", exchange="binance", interval="1w")
- Apply any enhanced-DCA rule only if it was predeclared and validated; a 200-day moving-average rule is optional, not inherent to DCA:
get_indicators(indicator_code="sma_200", symbol="BTC/USD", exchange="binance", interval="1d")
- Re-underwrite the asset, not the next candle:
get_financial_news(topic="BTC macro outlook accumulation")
- Report scheduled contribution, post-trade allocation, weighted average cost, fees, custody or concentration flags, and whether a written pause condition was triggered.
When to Stop DCA
- Target position size reached
- Fundamentals have materially deteriorated
- Better risk/reward opportunity identified elsewhere
Evidence and Validation
- Treat the setup as a testable hypothesis, not a prediction. Define thresholds, entry, invalidation, and exit before evaluating outcomes.
- Calibrate on the same instrument, venue, session, and timeframe. Use closed candles and a held-out or walk-forward sample; record every variant tried.
- Include spread, fees, slippage, borrow or funding, partial fills, and latency. Reject the setup when net expectancy is not positive or depends on one narrow parameter.
- Return observed inputs, missing data, cost assumptions, entry, invalidation, exit, and a valid, watch, or no-trade status.
- Research basis: Vanguard research found immediate lump-sum investment historically beat temporary cost averaging about two-thirds of the time; DCA is mainly a cash-flow and behavior plan.
Key Rules
- Do not skip or enlarge a scheduled purchase from an improvised price forecast
- Do not confuse DCA with averaging down an invalidated speculative thesis
- Review quarterly, not daily; over-monitoring defeats the purpose
- For cash already available, explicitly compare immediate investment with staged deployment; DCA may reduce short-term regret at the cost of expected time in market
Related Skills
- altcoin-rotation -- DCA into BTC/ETH during accumulation, then rotate when cycle shifts
- on-chain-analysis -- MVRV and realized cap identify macro accumulation zones for enhanced DCA
