The Multi-Timeframe Momentum Indicator is a trend analysis tool designed to examine market momentum across various timeframes on a single chart. Utilizing the Relative Strength Index (RSI) to assess the market’s strength and direction, this indicator offers a multidimensional perspective on current trends, enriching technical analysis with a deeper understanding...
Neutral State Stochastic Oscillator {DCAquant} The Neutral State Stochastic Oscillator {DCAquant} is an enhanced version of the classic Stochastic Oscillator. This iteration aims to refine the detection of neutral market states — periods where the market is neither overbought nor oversold — potentially signaling a period of consolidation or equilibrium before the...
### BTC - Days Premium Indicator #### Description The "BTC - Days Premium" is a unique indicator developed for traders and analysts focusing on long-term price movements and valuation trends of Bitcoin. This indicator predicts the number of days until the model's estimated price matches the current market price of Bitcoin, providing insights into when the asset...
Advance your market analysis with the Stochastic Oscillator. Identify potential price reversals with precision, aiding in the creation of flexible and accurate strategies. This connectable Stochastic indicator is part of an indicator system designed to help test, visualize and build strategy configurations without coding. Like all connectable indicators , it...
Dynamic Momentum Oscillator (DMO) OVERVIEW: The Dynamic Momentum Oscillator (DMO) is a technical indicator designed to measure the momentum of price movements in financial markets. It combines momentum calculation with dynamic range assessment to provide insights into potential trend reversals and overbought/oversold conditions. DMO is different from classic...
This script combines two powerful indicators, the Stochastic Oscillator and the Relative Strength Index (RSI), to offer traders a comprehensive view of market dynamics. The Stochastic Oscillator, known for its effectiveness in identifying overbought and oversold conditions, is enhanced here with a smoothing mechanism to provide clearer signals. The script...
The values of the Stochastic Levels on Chart indicator are calculated using Reverse Engineering calculations starting from default Stochastic formula : 100 * (close - lowest(low, length)) / (highest(high, length) - lowest(low, length)). I added options for users to define the Extreme Overbought and Oversold values, also simple Oversold and Overbought values of...
The "F.B_Stochastic Trend Harmonizer" has been developed to provide insights into market trends. It combines stochastic oscillations with moving averages. Stochastic oscillators are used to measure market fluctuations, while moving averages serve to smooth these fluctuations and identify trends. By linking these elements, the indicator aims to offer an enhanced...
## Introduction **The Versatile RSI and Stochastic Multi-Symbol Screener** **Unlock a wealth of trading opportunities with this customizable screener, designed to pinpoint potential overbought and oversold conditions across 17 symbols, with alert support!** ## Description This screener is suitable for tracking multiple instruments continuously. With the...
The Doda Stochastic Indicator is an oscillator designed to identify primary trends in asset price movements, operating on a scale from 0 to 100. It offers potential buying signals when it fluctuates between 0 and 20, and potential selling signals when it trends between 80 and 100. To reinforce the reliability of these signals, traders often complement them with...
This indicator will show you a red circle above candles when Stoch RSI K value is greater than your "overbought" value, and a green circle above candles when Stoch RSI K value is below your "oversold" value. Updatable oversold and overbought values.
Original Stochastic Oscillator Formula: %K=(C−Lowest Low)/(Highest High−Lowest Low)×100 Lowest Low refers to the lowest low of the past n periods. Highest High refers to the highest high of the past n periods. K Stochastic Indicator Formula: %K=(Source−Lowest Source)/(Highest Source−Lowest Source)×100 Lowest Source refers to the lowest value of...
version=5 This version of the stochastic produces the identical stochastic as used in MarketSmith The three primary differences from a classic stochastic are as follows: 1. Close values only 2. 5-day ema instead of 3-day simple moving averages for smoothing the fast and slow lines 3. Slow and fast lines are truncated to integer values by Mike Scott 2023-09-11
Fib TSI = Fibonacci True Strength Index The Fib TSI indicator uses Fibonacci numbers input for the True Strength Index moving averages. Then it is converted into a stochastic 0-100 scale. The Fibonacci sequence is the series of numbers where each number is the sum of the two preceding numbers. 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610... TSI uses...
MACDV = Moving Average Convergence Divergence Volume The MACDV indicator uses stochastic accumulation / distribution volume inflow and outflow formulas to visualize it in a standard MACD type of appearance. To be able to merge these formulas I had to normalize the math. Accumulation / distribution volume is a unique scale. Stochastic is a 0-100 scale. MACD is a...
The Stochastic RSI is a technical indicator ranging between 0 and 100, based on applying the Stochastic oscillator formula to a set of relative strength index (RSI). Unlike the original Stochastic RSI indicator, this allows you to define up to two additional tickers for which all three will be averaged and outputted visually looking like a standard Stochastic RSI...
The Velocity Indicator was created by Scott Cong (Stocks and Commodities Sep 2023, pgs 8-15). This is my variation of his formula designed to capture the overall velocity of the underlying stock by applying the typical velocity formula. This indicator is visually similar to a typical stochastic indicator but uses a different underlying calculation. This works well...
The Price Exhaustion Indicator (PE) is a powerful tool designed to identify trends weakening and strengthening in the financial markets. It combines the concepts of Average True Range (ATR), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator to provide a comprehensive assessment of trend exhaustion levels. By analyzing these multiple...