- Chart
- Trade
- Markets
- Cryptocurrencies
- Crypto Screener
- Prices
- DeFi Coins
- Market Cap charts
- DeFi Market Cap charts
- Bitcoin
- XRP
- Ethereum
- Bitcoin Cash
- EOS
- Stellar
- Litecoin
- Bitcoin SV
- Tether

Crypto Market Cap, BTC/USD, ETH/USD, USDT/USD, XRP/USD, Bitcoin

- Currencies
- Stocks
- Earnings Calendar
- Stock Screener
- Large-cap
- Top gainers
- Top losers
- Most active
- Most volatile
- Overbought
- Oversold
- All-time high
- All-time low
- High-dividend
- Sector & Industry

Reliance, INDIABULLS HOUSING, YES BANK, STATE BK OF INDIA, HDFC BANK, TATA STEEL LTD

- Indices
Nifty, BSE SENSEX, S&P 500, Nasdaq Composite, UK 100, DAX Index

- Futures
- Bonds
US 10Y, Euro Bund, Germany 10Y, Japan 10Y Yield, UK 10Y, India 10Y

- Sparks
- Daily news

- Cryptocurrencies
- Screeners
- Community
- More

This indicator returns the average of stochastic oscillators with periods ranging from 4 to length . This allows for a slightly more reactive oscillator as well as having information regarding the position of the price relative to rolling maximums/minimums of different periods. We introduce settings that allow for pre and post-smoothing, with selectable...

105

This is a simple long only strategy made of Aroon and Least Square moving average. The rules are simple: Long entry = crossover of upper part with the lower part from aroon and close of the candle is above the moving average Long exit = crossunder of upper part with the lower part from aroon and close of the candle is below the moving average IF you have any...

45

Elder-Ray Bear and Bull Power Dr. Alexander Elder cleverly named his first indicator Elder-Ray because of its function, which is designed to see through the market like an X-ray machine. Developed in 1989, the Elder-Ray indicator can be applied to the chart of any security and helps traders determine the strength of competing groups of bulls and bears by gazing...

1373

This is an experimental study which calculates a linear regression channel over a specified period or interval using custom moving average types for its calculations. Linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables. In linear regression, the relationships are modeled using...

1979

This is an experimental study designed to calculate polynomial regression for any order polynomial that TV is able to support. This study aims to educate users on polynomial curve fitting, and the derivation process of Least Squares Moving Averages (LSMAs). I also designed this study with the intent of showcasing some of the capabilities and potential applications...

1058

An almost zero lag version of the LSMA (Least Squares Moving Average) Gives instant linear regression of current price action. This line works with the same rules as its "laggy" counterpart the LSMA: When price crosses over it signals a bull trend. When price crosses under it signals bear trend. When price stays close or on the line sideways action is to be...

204

Introduction The trend step indicator family has produced much interest in the community, those indicators showed in certain cases robustness and reactivity. Their ease of use/interpretation is also a major advantage. Although those indicators have a relatively good fit with the input price, they can still be improved by introducing least-squares fitting on...

573

You can choose one of these MA types in params: Simple Moving Average (SMA) Exponential Moving Average (EMA) Weighted Moving Average (WMA) Arnaud Legoux Moving Average (ALMA) Hull Moving Average (HMA) Volume-weighted Moving Average (VWMA) Least Square Moving Average (LSMA) Smoothed Moving Average (SMMA) Double Exponential Moving Average...

442

Works exactly as the standard PSAR with the only difference that a Moving Linear Regression Line (=Least Squares Moving Average, LSMA) is used as input. So the PSAR flip is triggered not by price itself but by the LSMA line.

67

Introduction Forecasting is a blurry science that deal with lot of uncertainty. Most of the time forecasting is made with the assumption that past values can be used to forecast a time series, the accuracy of the forecast depend on the type of time series, the pre-processing applied to it, the forecast model and the parameters of the model. In tradingview we...

901

This is an experimental study designed using data from Bollinger Bands to determine price squeeze ranges and active levels of support and resistance. First, a set of Bollinger Bands using a Coefficient of Variation weighted moving average as the basis is calculated. Then, the relative percentage of current bandwidth to maximum bandwidth over the specified sampling...

758

Introduction At the start of 2019 i published my first post "Approximating A Least Square Moving Average In Pine", who aimed to provide alternatives calculation of the least squares moving average (LSMA), a moving average who aim to estimate the underlying trend in the price without excessive lag. The LSMA has the form of a linear regression ax + b where x ...

354

This is a simple script designed to help filter out bad trades. LSMA is a trend king and by using the 21,200 and 1000 length lines traders can get a clear view of where price action is travelling. This indicator is the perfect companion to the LSMA Wave Rider indicator. Once a pullback is discovered (price action crosses under blue or white line) Traders can use...

176

The "AC-P" version of Jaggedsoft's RSX Divergence and Everget's RSX script is my personal customized version of RSX with the following additions and modifications: LSMA-D line that averages in three LSMA components to form a composite, the LSMA-D line. Offset for the LSMA-D line is set to -2 to offset latency from averaging togther the LSMA components to form...

959

Plot a linear regression channel through the last length closing prices, with the possibility to use another source as input. The line is fit by using linear combinations between the WMA and SMA thus providing both an interesting and efficient method. The results are the same as the one provided by the built-in linear regression, only the computation differ. ...

423

Introduction Technical analysis make often uses of classical statistical procedures, one of them being regression analysis, and since fitting polynomial functions that minimize the sum of squares can be achieved with the use of the mean, variance, covariance...etc, technical analyst only needed to replace the mean in all those calculations with a moving average,...

283

This is a variation of Gerald Appel's MACD with seven moving average source types to choose from. The MA types I've included in this script are: - Kaufman's Adaptive Moving Average - Geometric Moving Average - Hull Moving Average - Volume Weighted Moving Average - Least Squares Moving Average - Arnaud Legoux Moving Average -...

430

Moving averages are filters on price data. This moving average creates a filter which factors in: - the price RSI or it's Momentum - the volume RSI - the RVI or Volatility Each factor is put through a least squares filter to smooth them first. Then the factors are used to build a coefficient for an exponentially weighted average. The chart above shows a...

127