Trading Indicators, Stock market is very fascinating for new comers and they directly start trading and loss money this is not best way to enter into stock market.

In stock market most of the traders are in loss but some show fake screenshots in social media for selling their courses. First learn basics about trading and investing from only traders those who earn money.

Everyone is showing their fake PnL and gain followers in social media but they don’t help you to earn money from stock market.

Trading is very risky when your don’t have basic knowledge about it. Some people say trading is gambling just like every men in the world is hateful and sexual harrsess women, because of some mens they blame every men.

Trading have same kind of hate. Some people loss money in stock market because of improper knowledge they blame trading and say it is gambling, speculation.

There are many tools and indicators that help us to know when stock is overvalued and undervalued, volume, how many investors and traders bought stock today,etc

**Top 3 Best Trading Indicators**

1)Moving Averages :-

Moving averages are a commonly used statistical tool in financial analysis, time series analysis, and data forecasting.

A moving average is a calculation that shows the average value of a dataset over a given period of time. It is used to smooth out fluctuations in data and to identify trends and patterns.

The basic idea behind a moving average is to create a new data point by taking the average of a subset of the data. This subset of data “moves” along the dataset, and as new data is added, the subset is updated, and a new average is calculated.

There are several types of moving averages, including the simple moving average (SMA), the weighted moving average (WMA), and the exponential moving average (EMA).

The SMA is calculated by adding up the values of a set number of periods and dividing by the number of periods.

The WMA is similar to the SMA, but assigns more weight to recent data. The EMA is calculated using a formula that gives more weight to recent data points than older ones.

Moving averages can be useful for identifying trends in data and forecasting future values. For example, traders in financial markets use moving averages to identify trends in stock prices and make decisions about buying or selling securities.

Other Calculators :- Stock Market Average Calculator

In addition, moving averages can be used in technical analysis to generate signals for buying or selling securities based on the relationship between the moving average and the price of the security.

2) Relative Strength Index :-

RSI stands for Relative Strength Index, which is a popular technical indicator used in financial markets to measure the strength and momentum of a security’s price action.

The RSI is a bounded oscillator that ranges from 0 to 100 and is calculated using the ratio of the average gains to average losses over a certain period of time.

The RSI is typically used to identify overbought or oversold conditions in a security’s price action.

When the RSI is above 70, it is considered overbought, indicating that the security may be due for a price correction or a downtrend. Conversely, when the RSI is below 30, it is considered oversold, indicating that the security may be due for a price increase or an uptrend.

The formula for calculating the RSI is as follows:

RSI = 100 – (100 / (1 + RS))

where RS = (Average Gain / Average Loss) over a given time period.

The RSI is often used in conjunction with other technical indicators and chart patterns to confirm or negate signals.

It is important to note that while the RSI can be a useful tool, it should not be used in isolation and should be used alongside other analysis techniques to make informed trading decisions.

3) Bollinger Bands :-

Bollinger Bands is a popular technical indicator used in financial markets to measure the volatility of a security’s price action.

The Bollinger Bands are based on a moving average, which is typically the 20-day simple moving average, and two standard deviations of the moving average.

The two standard deviations are added and subtracted from the moving average to create upper and lower bands, which represent a range of likely price action.

The upper and lower Bollinger Bands can be used to identify potential trading opportunities.

When a security’s price touches the upper band, it may be considered overbought, and a sell signal may be generated. Conversely, when the price touches the lower band, it may be considered oversold, and a buy signal may be generated.

Bollinger Bands can also be used to identify trends and potential trend reversals. When a security’s price moves outside of the upper or lower bands, it may indicate a trend reversal, and traders may adjust their positions accordingly.

It is important to note that Bollinger Bands should not be used in isolation and should be used alongside other analysis techniques to make informed trading decisions.

Additionally, traders should be aware that Bollinger Bands are based on historical data, and past performance is not always indicative of future results.