User what are the best indicators?

The "best" indicators in trading can vary depending on individual trading styles, preferences, and market conditions. Different traders may find success with different indicators or combinations of indicators. Here are some commonly used indicators in trading:

Moving Averages (MA): MAs smooth out price data to identify trends over a specified period. Common types include Simple Moving Average (SMA) and Exponential Moving Average (EMA).

Relative Strength Index (RSI): RSI measures the magnitude of recent price changes to evaluate overbought or oversold conditions.

MACD (Moving Average Convergence Divergence): MACD is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price.

Bollinger Bands: Bollinger Bands consist of a middle band (SMA) and two outer bands that measure volatility by representing potential high and low points of an asset's price.

Stochastic Oscillator: This indicator compares a security's closing price to its price range over a specific period to determine momentum.

Volume: Analyzing trading volume can provide insights into the strength or weakness of a trend and potential price reversals.

Fibonacci Retracement Levels: Based on the Fibonacci sequence, these levels are used to identify potential support and resistance levels.

Ichimoku Cloud: This indicator provides information on support and resistance levels, as well as trend direction and momentum.

Average True Range (ATR): ATR measures market volatility by calculating the average range between the high and low prices over a specific period.

On-Balance Volume (OBV): OBV measures buying and selling pressure based on trading volume, potentially indicating price trends.

It's essential to understand that no single indicator can guarantee successful trades, and relying solely on indicators without considering other factors such as market conditions, news events, and risk management strategies can be risky. Many traders use a combination of indicators and analytical tools to make informed trading decisions. Additionally, it's crucial to backtest and validate any trading strategy before implementing it with real money.