By Fatskills Exam Guides Team — the exam nerds behind 28,500+ quizzes and 2.1M practice questions across 500+ global exams.
Dollar Cost Averaging (DCA) is an investment strategy where you invest a fixed amount of money at regular intervals (e.g., weekly, monthly) regardless of market conditions. You use it to reduce the impact of volatility, avoid emotional decision-making, and build wealth consistently over time.
Markets fluctuate unpredictably. Trying to "time the market" (buying low, selling high) often leads to missed opportunities or losses. DCA removes emotion from investing, lowers the average cost per share over time, and works well for long-term goals like retirement or wealth accumulation.
Most brokerages offer auto-invest features. Example with Fidelity: 1. Log in to Fidelity.2. Navigate to "Transfers & Investments" > "Automatic Investments".3. Select your ETF (e.g., FXAIX for Fidelity’s S&P 500 fund).4. Set: - Amount: $100 - Frequency: Monthly - Start date: Next available 5. Confirm. Fidelity will auto-purchase shares on your behalf.
Use Python + a brokerage API (e.g., Interactive Brokers, Alpaca) to automate purchases.
from alpaca.trading.client import TradingClient from alpaca.trading.requests import MarketOrderRequest from alpaca.trading.enums import OrderSide, TimeInForce # Initialize client trading_client = TradingClient('API_KEY', 'SECRET_KEY', paper=True) # DCA parameters symbol = "SPY" # S&P 500 ETF amount = 100 # $100 per purchase frequency = "monthly" # Run this script monthly # Place market order market_order = MarketOrderRequest( symbol=symbol, notional=amount, # Buy $100 worth of shares side=OrderSide.BUY, time_in_force=TimeInForce.DAY ) trading_client.submit_order(market_order) print(f"Bought ${amount} of {symbol} at market price.")
Expected Outcome: - A fully automated DCA system that buys shares on a schedule.- No manual intervention needed (except monitoring for errors).
You invest $100/month in an ETF using DCA. In Month 1, the price is $10/share. In Month 2, it drops to $5/share. How many shares do you own after 2 months? - A) 15 shares - B) 20 shares - C) 30 shares - D) 10 shares
Correct Answer: C) 30 shares- Month 1: $100 / $10 = 10 shares - Month 2: $100 / $5 = 20 shares - Total: 10 + 20 = 30 shares
Why the Distractors Are Tempting: - A) Assumes you buy the same number of shares each month (ignores price changes).- B) Only counts Month 2’s shares (forgets Month 1).- D) Only counts Month 1’s shares (ignores Month 2).
Which of these is the biggest advantage of DCA over lump-sum investing? - A) Guaranteed higher returns - B) Reduced emotional decision-making - C) Lower fees - D) Faster wealth accumulation
Correct Answer: B) Reduced emotional decision-making- DCA removes the need to "time the market," which is emotionally taxing and often counterproductive.
Why the Distractors Are Tempting: - A) DCA doesn’t guarantee higher returns (lump-sum can outperform in bull markets).- C) Fees depend on the broker, not the strategy.- D) Lump-sum investing can grow wealth faster in rising markets.
You’re using DCA to invest in a stock. The price drops 20% in a month. What should you do? - A) Pause investing until the price recovers - B) Increase your contribution to buy more shares - C) Continue investing as planned - D) Sell all shares to cut losses
Correct Answer: C) Continue investing as planned- DCA is designed to handle volatility. Pausing or selling defeats the purpose.
Why the Distractors Are Tempting: - A) Fear of further losses might make this seem logical.- B) While increasing contributions can work, it’s not part of the original DCA plan.- D) Selling locks in losses and violates the long-term strategy.
Practice: Manual DCA with $50/month in a brokerage account.
Intermediate: Automate DCA and diversify.
Practice: Build a 3-fund portfolio (e.g., U.S. stocks, international stocks, bonds).
Advanced: Script DCA with APIs and optimize for taxes.
Practice: Write a script to DCA into multiple assets with rebalancing.
Expert: Combine DCA with other strategies (e.g., tax-loss harvesting, factor investing).
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