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Cerca negli script per "oscillator"

Dual Momentum OSCOverview: Momentum OSC is a dual-layered momentum oscillator that blends multi-timeframe momentum readings with moving average crossovers for deeper insight into trend acceleration and exhaustion. Perfect for confirming trend strength or spotting early shifts in momentum. Features: ✅ Two separate momentum streams with customizable timeframes ✅ Smoothing via moving averages for both momenta ✅ Cross-timeframe momentum structure for confirmation and divergence ✅ Color-coded areas for intuitive visual interpretation ✅ Optional crossover markers to signal bullish/bearish momentum shifts How It Works: The script calculates two momentum values by comparing current price sources against lagged values across separate timeframes. Each is smoothed with a moving average to filter noise. The difference between momentum and its moving average forms a core component of trend strength confirmation. Optional visual circles mark bullish or bearish crossovers. Customizable Inputs: Timeframes, sources, lengths, and MA periods for both momentum streams Toggle to display momentum cross signals (circles) Works on any asset or timeframe
Indicatore Pine Script®
di adamples01
Modified RSIModified RSI (Round Number RSI) Category: Oscillator / Momentum Description The Modified RSI (Round Number RSI) is an enhanced version of the classic Relative Strength Index (RSI), designed to provide clearer and more structured signals by rounding its values to whole numbers. This modification helps traders filter out noise, making trend analysis and overbought/oversold conditions easier to interpret. Key Features: ✔ Rounded RSI Values – Instead of fluctuating with decimals, this RSI rounds values to whole numbers (e.g., 30, 50, 70) for clearer decision-making. ✔ Easier Signal Interpretation – Helps traders identify key RSI levels without distractions from small fluctuations. ✔ Customizable Lookback Period – Allows adjustment of RSI sensitivity to fit different trading strategies. ✔ Works on All Timeframes & Assets – Can be applied to stocks, forex, crypto, and futures. How to Use It: 📌 Overbought & Oversold Levels: RSI ≥ 70 → Market may be overbought (potential reversal or correction). RSI ≤ 30 → Market may be oversold (potential buying opportunity). 📌 Trend Confirmation: RSI staying above 50 signals bullish momentum. RSI staying below 50 signals bearish momentum. 📌 Divergence Trading: Price makes a new high, but RSI does not → Bearish Divergence (Possible Downtrend). Price makes a new low, but RSI does not → Bullish Divergence (Possible Uptrend). Best Used For: 📈 Day Traders & Swing Traders looking for simplified RSI signals. 📉 Trend Confirmation with moving averages or volume analysis. ⚡ Confluence Trading with support/resistance zones. Why Use This Over Traditional RSI? 🔹 Removes unnecessary noise by rounding RSI values. 🔹 Helps traders focus on key levels (30, 50, 70). 🔹 Reduces decision fatigue for fast-paced trading.
Indicatore Pine Script®
di PIXEL_BLADE
Larry Connors RSI 3 StrategyThe Larry Connors RSI 3 Strategy is a short-term mean-reversion trading strategy. It combines a moving average filter and a modified version of the Relative Strength Index (RSI) to identify potential buying opportunities in an uptrend. The strategy assumes that a short-term pullback within a long-term uptrend is an opportunity to buy at a discount before the trend resumes. Components of the Strategy: 200-Day Simple Moving Average (SMA): The price must be above the 200-day SMA, indicating a long-term uptrend. 2-Period RSI: This is a very short-term RSI, used to measure the speed and magnitude of recent price changes. The standard RSI is typically calculated over 14 periods, but Connors uses just 2 periods to capture extreme overbought and oversold conditions. Three-Day RSI Drop: The RSI must decline for three consecutive days, with the first drop occurring from an RSI reading above 60. RSI Below 10: After the three-day drop, the RSI must reach a level below 10, indicating a highly oversold condition. Buy Condition: All the above conditions must be satisfied to trigger a buy order. Sell Condition: The strategy closes the position when the RSI rises above 70, signaling that the asset is overbought. Who Was Larry Connors? Larry Connors is a trader, author, and founder of Connors Research, a firm specializing in quantitative trading research. He is best known for developing strategies that focus on short-term market movements. Connors co-authored several popular books, including "Street Smarts: High Probability Short-Term Trading Strategies" with Linda Raschke, which has become a staple among traders seeking reliable, rule-based strategies. His research often emphasizes simplicity and robust testing, which appeals to both retail and institutional traders. Scientific Foundations The Relative Strength Index (RSI), originally developed by J. Welles Wilder in 1978, is a momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100 and is typically used to identify overbought or oversold conditions in an asset. However, the use of a 2-period RSI in Connors' strategy is unconventional, as most traders rely on longer periods, such as 14. Connors' research showed that using a shorter period like 2 can better capture short-term reversals, particularly when combined with a longer-term trend filter such as the 200-day SMA. Connors' strategies, including this one, are built on empirical research using historical data. For example, in a study of over 1,000 signals generated by this strategy, Connors found that it performed consistently well across various markets, especially when trading ETFs and large-cap stocks (Connors & Alvarez, 2009). Risks and Considerations While the Larry Connors RSI 3 Strategy is backed by empirical research, it is not without risks: Mean-Reversion Assumption: The strategy is based on the premise that markets revert to the mean. However, in strong trending markets, the strategy may underperform as prices can remain oversold or overbought for extended periods. Short-Term Nature: The strategy focuses on very short-term movements, which can result in frequent trading. High trading frequency can lead to increased transaction costs, which may erode profits. Market Conditions: The strategy performs best in certain market environments, particularly in stable uptrends. In highly volatile or strongly trending markets, the strategy's performance can deteriorate. Data and Backtesting Limitations: While backtests may show positive results, they rely on historical data and do not account for future market conditions, slippage, or liquidity issues. Scientific literature suggests that while technical analysis strategies like this can be effective in certain market conditions, they are not foolproof. According to Lo et al. (2000), technical strategies may show patterns that are statistically significant, but these patterns often diminish once they are widely adopted by traders. References Connors, L., & Alvarez, C. (2009). Short-Term Trading Strategies That Work. TradingMarkets Publishing Group. Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation. The Journal of Finance, 55(4), 1705-1770. Wilder, J. W. (1978). New Concepts in Technical Trading Systems. Trend Research
Strategia Pine Script®
di EdgeTools
Averaging Down Strategy1. Averaging Down: Definition: "Averaging Down" is a strategy in which an investor buys more shares of a declining asset, thus lowering the average purchase price. The main idea is that, by averaging down, the investor can recover faster when the price eventually rebounds. Risk Considerations: This strategy assumes that the asset will recover in value. If the price continues to decline, however, the investor may suffer larger losses. Academic research highlights the psychological bias of loss aversion that often leads investors to engage in averaging down, despite the increased risk (Barberis & Huang, 2001). 2. RSI (Relative Strength Index): Definition: The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is commonly used to identify overbought or oversold conditions. A reading below 30 (or in this case, 35) typically indicates an oversold condition, which might suggest a potential buying opportunity (Wilder, 1978). Risk Considerations: RSI-based strategies can produce many false signals in range-bound or choppy markets, where prices do not exhibit strong trends. This can lead to multiple losing trades and an overall negative performance (Gencay, 1998). 3. Combination of RSI and Price Movement: Approach: The combination of RSI for entry signals and price movement (previous day's high) for exit signals aims to capture short-term market reversals. This hybrid approach attempts to balance momentum with price confirmation. Risk Considerations: While this combination can work well in trending markets, it may struggle in volatile or sideways markets. Additionally, a significant risk of averaging down is that the trader may continue adding to a losing position, which can exacerbate losses if the price keeps falling. Risk Warnings: Increased Losses Through Averaging Down: Averaging down involves buying more of a falling asset, which can increase exposure to downside risk. Studies have shown that this approach can lead to larger losses when markets continue to decline, especially during prolonged bear markets (Statman, 2004). A key risk is that this strategy may lead to significant capital drawdowns if the price of the asset does not recover as expected. In the worst-case scenario, this can result in a total loss of the invested capital. False Signals with RSI: RSI-based strategies are prone to generating false signals, particularly in markets that do not exhibit strong trends. For example, Gencay (1998) found that while RSI can be effective in certain conditions, it often fails in choppy or range-bound markets, leading to frequent stop-outs and drawdowns. Psychological Bias: Behavioral finance research suggests that the "Averaging Down" strategy may be influenced by loss aversion, a bias where investors prefer to avoid losses rather than achieve gains (Kahneman & Tversky, 1979). This can lead to poor decision-making, as investors continue to add to losing positions in the hope of a recovery. Empirical Studies: Gencay (1998): The study "The Predictability of Security Returns with Simple Technical Trading Rules" found that technical indicators like RSI can provide predictive value in certain markets, particularly in volatile environments. However, they are less reliable in markets that lack clear trends. Barberis & Huang (2001): Their research on behavioral biases, including loss aversion, explains why investors are often tempted to average down despite the risks, as they attempt to avoid realizing losses. Statman (2004): In "The Diversification Puzzle," Statman discusses how strategies like averaging down can increase risk exposure without necessarily improving long-term returns, especially if the underlying asset continues to perform poorly. Conclusion: The "Averaging Down Strategy with RSI" combines elements of technical analysis with a psychologically-driven averaging down approach. While the strategy may offer opportunities in trending or oversold markets, it carries significant risks, particularly in volatile or declining markets. Traders should be cautious when using this strategy, ensuring they manage risk effectively and avoid overexposure to a losing position.
Strategia Pine Script®
di EdgeTools
SignalThis custom TradingView indicator, named "Signal," is designed to generate buy and sell signals based on the Stochastic Oscillator, a momentum indicator that compares a particular closing price of an asset to a range of its prices over a certain period of time. The indicator is set to overlay on the price chart, providing visual cues for potential trading opportunities. Key features of the "Signal" indicator include: 1. **Dynamic Period Adjustment**: The indicator automatically adjusts its settings based on the chart's time frame. For a 1-hour (60 minutes) chart, the stochastic length is set to 15, while for a 15-minute chart, the length is set to 10. 2. **Stochastic Calculation**: It calculates the %K line as a smoothed moving average (SMA) of the stochastic ratio, and the %D line as an SMA of the %K line, with both lines smoothed over a period derived from the dynamic length setting. 3. **Signal Detection**: The indicator identifies bullish crossovers (golden crosses) when the %K line crosses above the %D line and the average of both lines is below 50. Conversely, it detects bearish crossovers (death crosses) when the %K line crosses below the %D line and the average is above 50. 4. **Signal Confirmation**: Signals are confirmed using historical data with an offset of 1 bar to ensure that the crossover is evaluated after the close of the candlestick, thus avoiding repainting issues. 5. **Visual Indicators**: Buy signals are represented by green upward-pointing triangles placed below the bars, while sell signals are indicated by red downward-pointing triangles above the bars. 6. **Alerts**: The indicator includes alert conditions for both golden crosses and death crosses, notifying users when a potential buy or sell signal has been identified based on the stochastic crossover. This indicator can be a valuable tool for traders who follow stochastic momentum signals and prefer to have dynamic adjustments based on the chart's time frame. It is important to note that, as with all trading indicators, the "Signal" indicator should be used in conjunction with other forms of analysis to confirm trading signals and manage risk effectively.
Indicatore Pine Script®
di zrhe2016
Enhanced TrixThe Enhanced Trix Confluence Oscillator involves utilizing two core components: a slow line and a difference histogram based on a shorter length. Another key aspect is the indicator using the DEMA for greater speed while the triple smoothing still provides accuracy which makes this different from the original indicator. This approach aims to rely on principles of both momentum and divergence. The ETC aims to filter out market noise to reveal the core trend direction in both the short and medium term. A slow line is calculated using a longer time period with the double exponential moving average, which makes it less responsive to short-term price fluctuations and better at capturing longer-term momentum. It's best used to identify divergences with the asset's price, signaling potential reversals. The difference histogram serves as a more sensitive indicator for trade timing once further calibrated. It's calculated by taking the difference between the displayed length and a shorter period using the same calculation. This histogram also operates as a rate of change like the TRIX. The slow line identifies broader trends and divergences, while the difference histogram offers a more granular view.
Indicatore Pine Script®
di NantzOS
MTF CCI BarOVERVIEW This indicator shows whether Commodity Channel Index (CCI) is above or below 0, represented by a bar. This indicator is compatible with MTF. CONCEPTS What do you want to know about market analysis? Do you want a hard analysis? You can look for it. All I want to know is whether the commonly known technical analysis is 'UP' or 'DOWN'. All I want to know is whether the current market price is going up or down. Not only for the current, but also for the monthly, weekly, and daily status. I want to make a decision in a moment. Without even thinking about it. That is why I created a color-coded bar indicator to show the status. No need to frown anymore. DETAILS CCI is a momentum oscillator used in technical analysis primarily to identify overbought and oversold levels by measuring an instrument's variations away from its statistical mean. For this indicator, I have removed the concept of overbought and oversold. 0 <= CCI green 0 > CCI red However, with future upgrades, I would like to color-code it for overbought and oversold conditions as well.
Indicatore Pine Script®
di FX_KEYSTONE
2
Right Way OscillatorThis is a large composite screener indicator that includes 14 different indicators, the values ​​of which are arranged in a color format and show the current market situation, as well as all these values ​​are summarized in a chart, each value is weighted by strength, which allows you to get a comprehensive picture of the market at the moment, 2 signal lines are plotted on the indicator, their intersection means that most indicators will show the maximum score. Also, at the expected moments of the appearance of a trend movement, a gray background lights up on the indicator and 2 colored lines of the DI indicator appear, the color of the bottom line indicates what kind of movement is brewing.
Indicatore Pine Script®
di diemock
1