1-200 Moving Average System: 두 판 사이의 차이

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(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...")
 
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'''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.
'''1-200 Moving Average System''' is a trend-following trading strategy that uses the relationship 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==
==Concept==
The strategy relies on:
The strategy relies on:
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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.
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.
==Trading Rules==
==Trading Rules==
#<nowiki>**Buy Signal** – When the price (1MA) crosses above the 200MA, indicating an uptrend (Golden Cross).</nowiki>
#'''Buy Signal''' – When the price (1MA) crosses above the 200MA, indicating an uptrend (Golden Cross).
#<nowiki>**Sell Signal** – When the price (1MA) crosses below the 200MA, indicating a downtrend (Death Cross).</nowiki>
#'''Sell Signal''' – When the price (1MA) crosses below the 200MA, indicating a downtrend (Death Cross).
==Example==
==Example==
A simple implementation of the 1-200 moving average system in Python:<syntaxhighlight lang="python">
A simple implementation of the 1-200 moving average system in Python:<syntaxhighlight lang="python">
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</syntaxhighlight>
</syntaxhighlight>
==Advantages==
==Advantages==
*<nowiki>**Simple to Implement** Easy to calculate and interpret.</nowiki>
*'''Simple to Implement'''
*<nowiki>**Effective for Trend Following** Helps capture long-term trends.</nowiki>
** Easy to calculate and interpret.
*<nowiki>**Reduces Market Noise** Filters out short-term fluctuations.</nowiki>
*'''Effective for Trend Following'''
**Helps capture long-term trends.
*'''Reduces Market Noise'''
**Filters out short-term fluctuations.
==Limitations==
==Limitations==
*<nowiki>**Lagging Indicator** Signals appear after trends have started.</nowiki>
* '''Lagging Indicator'''
*<nowiki>**Whipsaw Risk** Frequent false signals in sideways markets.</nowiki>
**Signals appear after trends have started.
*<nowiki>**Not Suitable for Short-Term Trading** Designed for long-term trend identification.</nowiki>
*'''Whipsaw Risk'''
** Frequent false signals in sideways markets.
*'''Not Suitable for Short-Term Trading'''
**Designed for long-term trend identification.
==Applications==
==Applications==
*<nowiki>**Stock Trading** Commonly used in equity markets.</nowiki>
*'''Stock Trading'''**Commonly used in equity markets.
*<nowiki>**Forex Trading** Helps traders identify major currency trends.</nowiki>
*'''Forex Trading'''
*<nowiki>**Cryptocurrency** Used to navigate volatile crypto markets.</nowiki>
**Helps traders identify major currency trends.
*'''Cryptocurrency'''
**Used to navigate volatile crypto markets.
==See Also==
==See Also==
*[[Moving Average]]
*[[Moving Average]]
*[[Golden Cross]]
* [[Golden Cross]]
*[[Death Cross]]
*[[Death Cross]]
*[[Trend Following Strategy]]
*[[Trend Following Strategy]]
*[[Technical Analysis]]
*[[Technical Analysis]]

2025년 2월 26일 (수) 06:01 기준 최신판

1-200 Moving Average System is a trend-following trading strategy that uses the relationship 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[편집 | 원본 편집]

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[편집 | 원본 편집]

  1. Buy Signal – When the price (1MA) crosses above the 200MA, indicating an uptrend (Golden Cross).
  2. Sell Signal – When the price (1MA) crosses below the 200MA, indicating a downtrend (Death Cross).

3 Example[편집 | 원본 편집]

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[편집 | 원본 편집]

  • 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[편집 | 원본 편집]

  • 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[편집 | 원본 편집]

  • Stock Trading**Commonly used in equity markets.
  • Forex Trading
    • Helps traders identify major currency trends.
  • Cryptocurrency
    • Used to navigate volatile crypto markets.

7 See Also[편집 | 원본 편집]