#以太坊十周年 #BNB创新高 #币安Alpha上新 There indeed exists a strategy for trading cryptocurrencies that is profitable without losses. My trading method is very simple and practical; I reached an eight-figure profit in just one year. I only trade one pattern and enter the market when the opportunity arises, avoiding trades without a pattern. I have maintained a win rate of over 90% for five years!
A tested method: from May 2023 to June 2024, 502 days and nights, going from 3000 to 3 million, achieving a return of 14838%. In the crypto sphere, if you want to turn small capital into large gains, the only method is to roll over your positions!
Today, I share this method with those destined to receive it. If you also want a piece of the cryptocurrency pie, take a few minutes to read carefully, then slowly absorb and practice, forming your own stable profit system in the crypto space! In Bitcoin trading, technical analysis can play an important role, and oscillators are key tools. After decades of development, oscillators help traders make informed decisions by analyzing price momentum and market conditions. This article delves into the history and usage of key oscillators utilized in Bitcoin trading.
Oscillators and Their Importance
Since the early 20th century, oscillators have been an indispensable part of technical analysis, initially used in the stock market. As traders sought tools to predict market trends, oscillators gained popularity in the 1970s. These mathematical structures measure the momentum of asset prices, providing insights into potential overbought or oversold conditions. In the turbulent world of Bitcoin trading, oscillators offer traders an effective way to respond to price fluctuations.
Relative Strength Index + (RSI)
The Relative Strength Index (RSI), developed by Welles Wilder in 1978, is a momentum oscillator that measures the speed and change of price movements. RSI values fluctuate between 0 and 100, with values above 70 indicating overbought conditions and below 30 indicating oversold conditions. For BTC traders, RSI is an important tool for identifying potential reversal points in Bitcoin, aiding in making strategic entry and exit decisions.
The Stochastic Indicator is visualized on a chart that contains two main lines: the %K line and the %D line. The %K line is calculated by comparing Bitcoin's closing price to the price range over a specified period, resulting in a line that reacts quickly and closely follows price trends. The %D line is smoother and slower, representing the 3-period moving average of the %K line, providing a signal line that crosses above and below the %K line at key points. The y-axis of the chart ranges from 0 to 100, with horizontal lines marked at 20 and 80 to indicate oversold and overbought levels.
Commodity Channel Index + (CCI)
The Commodity Channel Index (CCI) was created by Donald Lambert in 1980 to measure the difference between asset prices and their statistical averages. Although originally developed for commodities, it has been widely applied in various markets, including Bitcoin trading. Traders use the CCI to identify cyclical trends in Bitcoin prices, helping to predict potential price reversals and capitalize on trading opportunities in Bitcoin.
Average Directional Index + (ADX)
Welles Wilder also introduced the Average Directional Index (ADX) in 1978 to measure trend strength rather than direction. The ADX value ranges from 0 to 100, with higher values indicating stronger trends. In cryptocurrency trading, the ADX helps traders assess the strength of current trends, enabling them to make more informed entry or exit decisions based on trend strength rather than direction. The Stochastic Oscillator was developed by George Lane in the late 1950s, comparing specific closing prices of an asset to a price range over a specified period. Its operation principle is that, in a rising market, prices tend to close near the highs, while in a falling market, prices tend to close near the lows. BTC traders use the Stochastic Oscillator to identify momentum and potential turning points by analyzing the %K and %D lines of the oscillator.