1-200 Moving Average System
IT 위키
Slack (토론 | 기여)님의 2025년 2월 26일 (수) 05:59 판 (Created page with "'''1-200 Moving Average System''' is a trend-following trading strategy that uses the interaction between the 1-day and 200-day moving averages to generate buy and sell signals. This system is widely used in technical analysis to capture long-term trends and avoid false signals. ==Concept== The strategy relies on: *'''1-day moving average (1MA)''' – Represents the most recent closing price. *'''200-day moving average (200MA)''' – Represents the long-term trend. Trade...")
1-200 Moving Average System is a trend-following trading strategy that uses the interaction between the 1-day and 200-day moving averages to generate buy and sell signals. This system is widely used in technical analysis to capture long-term trends and avoid false signals.
1 Concept
The strategy relies on:
- 1-day moving average (1MA) – Represents the most recent closing price.
- 200-day moving average (200MA) – Represents the long-term trend.
Traders use this system to identify bullish and bearish market conditions based on the position of the 1-day moving average relative to the 200-day moving average.
2 Trading Rules
- **Buy Signal** – When the price (1MA) crosses above the 200MA, indicating an uptrend (Golden Cross).
- **Sell Signal** – When the price (1MA) crosses below the 200MA, indicating a downtrend (Death Cross).
3 Example
A simple implementation of the 1-200 moving average system in Python:
import pandas as pd
import matplotlib.pyplot as plt
# Load historical stock data
df = pd.read_csv("stock_prices.csv")
# Compute moving averages
df["1MA"] = df["Close"]
df["200MA"] = df["Close"].rolling(window=200).mean()
# Generate buy and sell signals
df["Signal"] = (df["1MA"] > df["200MA"]).astype(int)
# Plot the data
plt.plot(df["Close"], label="Stock Price")
plt.plot(df["200MA"], label="200-Day Moving Average", linestyle="dashed")
plt.legend()
plt.show()
4 Advantages
- **Simple to Implement** – Easy to calculate and interpret.
- **Effective for Trend Following** – Helps capture long-term trends.
- **Reduces Market Noise** – Filters out short-term fluctuations.
5 Limitations
- **Lagging Indicator** – Signals appear after trends have started.
- **Whipsaw Risk** – Frequent false signals in sideways markets.
- **Not Suitable for Short-Term Trading** – Designed for long-term trend identification.
6 Applications
- **Stock Trading** – Commonly used in equity markets.
- **Forex Trading** – Helps traders identify major currency trends.
- **Cryptocurrency** – Used to navigate volatile crypto markets.