Schaff Trend Cycle (STC) — Indicatori e strategie

Volume-Adjusted Schaff Trend Cycle (VASTC)Volume-Adjusted Schaff Trend Cycle (VASTC) The VASTC is a fairly fast-moving oscillator designed to identify trends early and signal when trends may be nearing their end. While it can be used for both trend-following and mean-reversion strategies , it shines in trend-following setups. It’s particularly useful for catching the start of a trend and giving early warnings that a trend might end soon, making it a valuable addition to a multi-indicator system. How It Works: The VASTC adapts the traditional Schaff Trend Cycle by adjusting the MACD component with volume data. This volume-adjusted MACD is run through two stochastic processes , applying exponential smoothing to enhance responsiveness. Volume sensitivity allows the VASTC to adapt dynamically to periods of high or low trading activity, providing more reliable trend signals. Recommended Use: Use VASTC in confluence with other indicators to confirm trend entries and exits. It’s best for identifying early trend setups rather than sustaining prolonged trend trades. When used alongside other indicators, especially those with a longer-term outlook or momentum based trend indicators, you’ll gain a clearer signal for potential exits or entries. Always backtest the VASTC on your chosen assets to determine the most effective input parameters, as the defaults may not suit all markets or assets. Different assets behave differently, and adjustments in parameters can improve its ability to analyze the assets you're looking at. Parameters: Length : Sets the primary smoothing length. Fast/Slow Length : Adjust the speed of the volume-adjusted MACD component. Factor : Controls the final smoothing applied to the STC. Overbought/Oversold Levels : Defines overbought/oversold levels. Experiment with these settings to customize the VASTC to your trading strategy and asset. Disclaimer : This indicator is a tool to complement your trading analysis and should not be used in isolation. Always backtest and use other confluence signals for best results. The assets I looked at when making this indicator are almost certainly different than what you're looking at.

Adaptive Schaff Trend Cycle (STC) [AlgoAlpha]Introducing the Adaptive Schaff Trend Cycle by AlgoAlpha: Elevate Your Trading Strategies 🚀 Discover precision and adaptability with the Adaptive Schaff Trend Cycle 🎯, meticulously crafted for traders seeking an edge in the markets. This advanced tool integrates sophisticated algorithms to offer clear insights and real-time analytics 📈. Key Features: ⚙️Adaptive Signal Processing: Utilizes evolving calculations to adjust to market changes, offering highly responsive signals. 🔍Enhanced MACD Analysis: Innovates on the traditional MACD, providing new insights into market dynamics through an adaptive lens. 🎨Customizable Visual Experience: Features customizable up and down colors for tailored chart analysis. 🔔Real-Time Alerts: Stay informed with instant alerts on indicator changes. Quick Guide to Using the Adaptive STC Indicator 1. 🔧 Adding the Indicator: Search for "Adaptive Schaff Trend Cycle (STC) " within TradingView's Indicators & Strategies and apply it to your chart. Customize the settings according to your trading style for optimum results. 2.👀 Market Analysis: Monitor the STC and Histogram values closely. The indicator's color gradients provide a visual representation of momentum shifts, helping you to identify trends more clearly. 3. 🚨 Set Alerts: Enable alerts for specific conditions like significant moves up or down, or when the histogram crosses zero. This feature ensures you never miss a potential trading opportunity. How It Works: The Adaptive Schaff Trend Cycle by AlgoAlpha introduces a dynamic approach to market analysis, refining traditional indicators through adaptive logic to align with fluctuating market conditions. Here's a concise overview of its operation: 🔄 Adaptive MACD Adjustment: The foundation of the indicator is an enhanced MACD calculation, which dynamically adjusts its parameters based on real-time market trends and momentum. This algorithmic adjustment aims to ensure the MACD's responsiveness to market changes, adapting its sensitivity to offer timely insights . 🌟 Integration of Schaff Trend Cycle (STC): After adjusting the MACD, the indicator calculates STC values to provide a smoothed representation of market trends. By normalizing and smoothing the MACD values on a scale from 0 to 100, the STC method helps in identifying market phases with a clear visualization. The smoothing process is designed to mitigate noise and focus on significant market movements . 📊 Visualization and Alerts: To aid in the interpretation of these insights, the Adaptive Schaff Trend Cycle employs color gradients and customizable visual settings to indicate momentum shifts. These visual cues, combined with alert functionalities, are structured to assist traders in monitoring market developments, enabling them to make informed decisions based on the presented data . 🛠️The Adaptive Schaff Trend Cycle thus merges adaptive MACD adjustments with STC methodology, supported by visual and alert features, to create a tool aimed at enhancing market analysis. By focusing on adaptability and current market conditions, it provides a nuanced view of market trends, intended to support traders in their decision-making processes without promising predictive accuracy or reliability .

Adaptive, Zero lag Schaff Trend Cycle [Loxx]TASC's March 2008 edition Traders' Tips includes an article by John Ehlers titled "Measuring Cycle Periods," and describes the use of bandpass filters to estimate the length, in bars, of the currently dominant price cycle. What are Dominant Cycles and Why should we use them? Even the most casual chart reader will be able to spot times when the market is cycling and other times when longer-term trends are in play. Cycling markets are ideal for swing trading however attempting to “trade the swing” in a trending market can be a recipe for disaster. Similarly, applying trend trading techniques during a cycling market can equally wreak havoc in your account. Cycle or trend modes can readily be identified in hindsight. But it would be useful to have an objective scientific approach to guide you as to the current market mode. There are a number of tools already available to differentiate between cycle and trend modes. For example, measuring the trend slope over the cycle period to the amplitude of the cyclic swing is one possibility. We begin by thinking of cycle mode in terms of frequency or its inverse, periodicity. Since the markets are fractal ; daily, weekly, and intraday charts are pretty much indistinguishable when time scales are removed. Thus it is useful to think of the cycle period in terms of its bar count. For example, a 20 bar cycle using daily data corresponds to a cycle period of approximately one month. When viewed as a waveform, slow-varying price trends constitute the waveform's low frequency components and day-to-day fluctuations (noise) constitute the high frequency components. The objective in cycle mode is to filter out the unwanted components--both low frequency trends and the high frequency noise--and retain only the range of frequencies over the desired swing period. A filter for doing this is called a bandpass filter and the range of frequencies passed is the filter's bandwidth. Indicator Features -Zero lag or Regular Schaff Trend Cycle calculation - Fixed or Band-pass Dominant Cycle for Schaff Trend Cycle MA period inputs -10 different moving average options for Zero lag calculations -Separate Band-pass Dominant Cycle calculations for both Schaff Trend Cycle and MA calculations - Slow-to-Fast Band-pass Dominant Cycle input to tweak the ratio of Schaff Trend Cycle MA input periods as they relate to each other

Schaff Trend Cycle This indicator was originally developed by Doug Schaff in the 1990s (published in 2008).

CCI Cycle (Modified Schaff Trend Cycle)This is a modified Schaff Trend Cycle (STC), which is designed to provide quicker entries and exits. I've been a huge fan of the STC for a long time, but being based on the MACD means its signals often lag by a bar or two (especially in fast moving markets). All I've done here is take the base STC script (all credit to user @LazyBear), and change the source to a modified CCI. The CCI Cycle provides more timely entries and exits, often by 1-2 bars. The flip side of the increased responsiveness is a prevalence for more false signals (a perfect example is the 17th August on the above chart). It's the nature of the beast! Still, I've been using this for a few months now and it's (in my opinion) an upgrade on the standard STC. As always, you will need to pair this with another indicator or method of technical analysis to provide a trade bias, as the CCI Cycle (and STC) aren't designed to trade every signal. In my experience, either divergence identification, or using one or more moving averages works particularly well. The indicator is also MTF capable, so you can get some interesting results from that. Any queries let me know. DD

STC Indicator - A Better MACD [SHK]The Schaff Trend Cycle indicator is the product of combining Slow Stochastics and the moving average convergence/divergence (MACD). The MACD has a reputation as a trend indicator, but it's also notorious for lagging due to its slow responsive signal line. The improved signal line gives the STC its relevance as an early warning sign to detect currency trends. Read more on Investopedia: Schaff Trend: A Faster And More Accurate Indicator

Indicator: Schaff Trend Cycle (STC)Another new indicator for TV community :) STC detects up and down trends long before the MACD. It does this by using the same exponential moving averages (EMAs), but adds a cycle component to factor instrument cycle trends. STC gives more accuracy and reliability than the MACD. More info: www.investopedia.com Feel free to "Make mine" this chart and use the indicator in your charts. Appreciate any feedback on how effective this is for your instrument (I have tested this only with BTC). For people trading BTC: ------------------------------- Try 3/10 or 9/30 for MACD (fastLength/slowLength). They seem to catch the cycles better than the defaults. :)