Dynamic S/R Levels: Edge FinderOverview
The Dynamic S/R Levels: Edge Finder indicator is designed to identify dynamic support and resistance levels based on historical price action. It uses a combination of price extremes (highs and lows) over user-defined lookback periods, weighted moving averages (WMAs), and touch-count analysis to provide actionable insights into key market levels.
This tool is ideal for traders who want to:
Identify dynamic support and resistance zones.
Understand the strength of these levels based on price touches.
Make informed decisions using clear, adaptive levels.
How It Works
Dynamic Levels Calculation:
The indicator calculates dynamic support levels using the lowest lows and dynamic resistance levels using the highest highs over user-defined lookback periods (e.g., 20, 40, 60 bars, etc.).
These levels are updated dynamically as new price data becomes available.
Touch Count Analysis:
The indicator counts how many times the price has touched or come close to each support/resistance level within the lookback period.
Levels with more touches are considered stronger and are highlighted accordingly.
Weighted Moving Averages (WMAs):
The indicator uses 50-period and 100-period WMAs to identify the closest support/resistance levels to the current trend.
Levels near these WMAs are given additional weight, as they are more likely to act as significant barriers.
Level Merging:
If two support or resistance levels are too close to each other (based on the minimum distance percentage), the weaker level (with fewer touches) is removed to avoid clutter.
Visualization:
Support levels are displayed as dashed red lines, and resistance levels are displayed as dashed blue lines.
Each level is labeled with its corresponding touch count, allowing traders to quickly assess its strength.
How to Interpret the Indicator
Strong Support/Resistance Levels:
Levels with higher touch counts (e.g., 5, 10, or more) are considered stronger and are more likely to hold in the future.
Use these levels to plan entries, exits, or stop-loss placements.
Proximity to WMAs:
Levels closest to the 50-period or 100-period WMA are more significant, especially in trending markets.
These levels often act as dynamic barriers where price reactions are more likely.
Breakouts and Rejections:
If the price breaks through a strong resistance level, it may indicate a potential bullish trend.
If the price rejects a strong support level, it may indicate a potential bearish trend.
Always confirm breakouts or rejections with additional analysis (e.g., volume, candlestick patterns).
Level Merging:
Merged levels indicate areas of high confluence, where multiple support/resistance zones overlap.
These areas are particularly important for decision-making, as they represent stronger market reactions.
Key Features
Customizable Lookback Periods: Adjust the lookback periods for each dynamic level to suit your trading style.
Touch Count Labels: Quickly identify the strength of each level based on the number of price touches.
Adaptive Levels: The indicator dynamically updates levels based on recent price action.
Clean Visualization: Levels are automatically merged to avoid clutter and provide a clear view of the market structure.
Usage Tips
Trend Identification: Combine the indicator with trend-following tools (e.g., moving averages, trendlines) to confirm the overall market direction.
Risk Management: Use the identified levels to set stop-loss orders or take-profit targets.
Timeframe Flexibility: The indicator works on all timeframes, but it is particularly effective on higher timeframes (e.g., 1H, 4H, Daily) for more reliable levels.
Example Scenarios
Bounce Trade:
If the price approaches a strong support level (high touch count) and shows signs of rejection (e.g., bullish candlestick patterns), consider a long position with a stop-loss below the support level.
Breakout Trade:
If the price breaks above a strong resistance level with high volume, consider a long position with a target at the next resistance level.
Range-Bound Market:
In a sideways market, use the support and resistance levels to identify range boundaries and trade bounces between them.
Disclaimer
Dynamic S/R Levels: Edge Finder is a technical analysis tool designed to identify dynamic support and resistance levels based on historical price action. It is intended for informational and educational purposes only. This indicator does not provide financial, investment, or trading advice. Users are solely responsible for their trading decisions and should conduct their own research and analysis before making any trades. The developer of this tool is not liable for any financial losses or damages resulting from the use of this indicator. Trading in financial markets involves risk, and you should only trade with capital you can afford to lose.
מתנדים ממורכזים
Neural Network Proxy Strategy Alt by NHBprodHey, this is a trading strategy I’ve been working on. It uses a combination of three technical indicators: Bollinger Bands (to measure price volatility), Average True Range (ATR, to gauge price movement range), and Chaikin Money Flow (CMF, to check the flow of money in and out of an asset). The script normalizes each of these indicators which is essentially a simplified version of machine learning to create a single combined score, which is kind of like a neural network proxy. If this score goes above 0.5, it signals a potential buy, and if it goes below -0.5, it signals a potential sell. It’s pretty cool because you can tweak the weights of each indicator to suit different market conditions. It even plots the combined score on the chart to help visualize the signals!
This strategy is built for Bitcoin specifically, and it's applied on the 3 hour chart. Check out the results yourself. If you traded this strategy using Long only, then it yielded a staggering ~3% per trade, and there are hundreds of trades in this dataset!
Commission and slippage are included by the way!
If you want to trade this strategy in real time, I also have a pairing indicator script, and you can easily right click on the chart to create a 'buy' alert or a 'sell' alert that can be sent directly to your phone, or email. You can also set it up so that it sends a message to your trading broker so that it automatically purchases and sells based on this strategy. If you'd like help setting that up, let me know!
Indicators Table[Robinson0707]
I try to make a table for simple indicator. I hope you lile it. For now I just add classic, fibonacci and wodie pivont point. And ı use Exponanctal moving avera. If you want you can open it as a plot. Also I ad Benjamin GRAHAM's valuation formula
VWMACD-MFI-OBV Composite# MACD-MFI-OBV Composite
A dynamic volume-based technical indicator combining Volume-Weighted MACD, Money Flow Index (MFI), and normalized On Balance Volume (OBV). This composite indicator excels at identifying breakouts and strong trend movements through multiple volume confirmations, making it particularly effective for momentum and high-volatility trading environments.
## Overview
The indicator integrates trend, momentum, and cumulative volume analysis into a unified visualization system. Each component is carefully normalized to enable direct comparison, while the background color system provides instant trend recognition. This version is specifically optimized for breakout detection and strong trend confirmation.
## Core Components
### Volume-Weighted MACD
Visualized through the background color system, this enhanced MACD implementation uses Volume-Weighted Moving Averages (VWMA) instead of traditional EMAs. This modification ensures greater sensitivity to volume-supported price movements while filtering out less significant low-volume price changes. The background alternates between green (bullish) and red (bearish) to provide immediate trend feedback.
### Money Flow Index (MFI)
Displayed as the purple line, the MFI functions as a volume-weighted momentum oscillator. Operating within a natural 0-100 range, it helps identify potential overbought and oversold conditions while confirming volume support for price movements. The MFI is particularly effective at validating breakout momentum.
### Normalized On Balance Volume (OBV)
The white line represents normalized OBV, providing insight into cumulative buying and selling pressure. The normalization process scales OBV to match other components while maintaining its ability to confirm price trends through volume analysis. This component excels at identifying strong breakout movements and volume surges.
## Signal Integration
The indicator generates its most powerful signals when all three components align, particularly during breakout conditions:
Strong Bullish Signals develop when:
- Background shifts to green (VWMACD bullish)
- MFI shows strong upward momentum
- OBV demonstrates sharp volume accumulation
Strong Bearish Signals emerge when:
- Background turns red (VWMACD bearish)
- MFI exhibits downward momentum
- OBV shows significant volume distribution
## Market Application
This indicator variant is specifically designed for:
Breakout Trading:
The OBV component provides excellent sensitivity to volume surges, making it ideal for breakout confirmation and momentum validation.
Trend Following:
Sharp OBV movements combined with MFI momentum help identify and confirm strong trending conditions.
High Volatility Markets:
The indicator's design excels in active, volatile markets where clear signal generation is crucial for decision-making.
## Technical Implementation
Default Parameters:
Volume-Weighted MACD maintains traditional periods (12/26/9) while leveraging volume weighting. MFI uses standard 14-period calculation with 80/20 overbought/oversold thresholds. All components undergo normalization over a 100-period lookback for stable comparison.
Visual Elements:
- Background: VWMACD trend indication (green/red)
- Purple Line: Money Flow Index
- White Line: Normalized OBV
- Yellow Line: Combined signal (arithmetic mean of normalized components)
- Reference Lines: Key levels at 20, 50, and 80
## Trading Methodology
The indicator supports a systematic approach to breakout and momentum trading:
1. Breakout Identification
Monitor for background color changes accompanied by significant OBV movement, indicating potential breakout conditions.
2. Volume Surge Confirmation
Examine OBV slope and magnitude to confirm genuine breakout scenarios versus false moves.
3. Momentum Validation
Use MFI to confirm breakout strength and identify potential exhaustion points.
4. Combined Signal Analysis
The yellow line provides a unified view of all components, helping identify high-probability breakout opportunities.
## Interpretation Guidelines
Breakout Confirmation:
Strong breakouts typically show alignment of all three components with notable OBV surge. This configuration often precedes significant price movements.
Trend Strength:
Continuous OBV expansion during trends, supported by steady MFI readings, suggests sustained momentum.
## Market Selection
Optimal Markets Include:
- High-beta growth stocks
- Momentum-driven securities
- Stocks with significant volatility
- Active trading instruments
- Examples: TSLA, NVDA, growth stocks
## Version Information
Current Version: 2.0.0
This indicator represents a specialized adaptation of volume-based analysis, optimized for breakout trading and momentum strategies in high-volatility environments.
CCI Buy Signal//@version=5
indicator("CCI Buy Signal", overlay=true)
// Inputs for CCI
length = input.int(14, title="CCI Length")
src = input.source(close, title="Source")
// Calculate CCI
cci = ta.cci(src, length)
prev_cci = ta.valuewhen(bar_index > 0, cci , 0)
// Buy condition
buySignal = (cci < -100) and (cci > prev_cci)
// Plot CCI
plot(cci, color=color.blue, title="CCI")
hline(100, color=color.red, linestyle=hline.style_dotted, title="Upper Threshold")
hline(0, color=color.gray, linestyle=hline.style_dotted, title="Zero Line")
hline(-100, color=color.red, linestyle=hline.style_dotted, title="Lower Threshold")
// Plot Buy Signal as Arrow
plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal Arrow")
Moving Average Convergence DivergenceTake your trading to the next level with this enhanced Moving Average Convergence Divergence (MACD) indicator. Featuring clear visual signals for "Buy" and "Sell" points, this MACD is designed to simplify your decision-making process. Pair it with our Dynamic SMA Pro Chart for trend confirmation and our Stochastic Indicator for momentum analysis to get a well-rounded view of market trends. Whether you're a beginner or a seasoned trader, this tool helps you spot key opportunities with confidence. Perfect for identifying reversals and optimizing your entries and exits!
Bottom Detection MonitorBottom Detection Monitor
抄底监测器
利用了RSI值低于30的时候，跟30的差值，进行累积和计算，期间如果有RSI值超过了30，则自动累计和值清零，重新计算。一直到达设置的阈值标准，则会清零重置。
阈值的默认设置标准为100。
这个最早是从一分钟交易里总结出来的，小级别周期特别适合。
因为如果是连续的一段强势下跌过程，如果是大时间周期级别，这个阈值可能需要设置很高，就会有一个问题，指标的图表部分就有可能失真过大。而每个产品的波动特点和幅度可能会有差异，所以我把这个阈值留给了用户自己设置。
同样的原理，我也还制作了一个CCI的类似原理检测。
平时，这条曲线会成一条水平贴近零轴的直线，直到下跌波动跌破RSI30开始，当突然增加的曲线从波峰跌回零轴，就是抄底的时机。当然由于阈值的问题，可能会连续出现多个波峰，这个在使用中需要注意，可以通过增大阈值来改变这种现象。
我是我开源的开始。
我尊重有趣的想法，和重新定义的表达。
感谢Tradingview社区，给了我这个机会。
RSI y MACD Robot Exterminiun Condiciones de Compra: Se da cuando el RSI está por debajo del nivel de sobreventa y el MACD cruza por encima de su señal.
Condiciones de Venta: Ocurre cuando el RSI está por encima del nivel de sobrecompra y el MACD cruza por debajo de su señal.
Visualización: Se trazan las líneas de RSI, MACD, y la línea de señal para facilitar la interpretación.
ASLANMAX METEASLANMAX METE
📊 OVERVIEW:
This advanced TradingView indicator is a professional trading tool powered by an AI-powered signal generation algorithm.
🔍 KEY FEATURES:
Multi-Indicator Integration
Fisher Transform
Momentum
RSI
CCI
Stochastic Oscillator
Ultimate Oscillator
Dynamic Signal Generation
Risk tolerance adjustable
Volatility-based thresholds
Confidence score calculation
Special Signal Types
Buy/Sell Signals
"Meto" Up Crossing Signal
"Zico" Down Crossing Signal
🧠 AI-LIKE TECHNIQUES:
Integrated signal line
Dynamic threshold mechanism
Multi-indicator correlation
💡 USAGE ADVANTAGES:
Flexible parameter settings
Low and high risk modes
Real-time signal generation
Adaptation to different market conditions
⚙️ ADJUSTABLE PARAMETERS:
Basic Period
EMA Period
Risk Tolerance
Volatility Thresholds
🔔 SIGNAL TYPES:
Buy Signal (Green)
Sell Signal (Red)
Meto Signal (Yellow Triangle Up)
Zico Signal (Purple Triangle Down)
🌈 VISUALIZATION:
Integrated Line (Red)
EMA Line (Blue)
Background Color Changes
Signal Shapes
⚠️ RECOMMENDATIONS:
Be sure to test in your own market
Do not neglect risk management
Use multiple approval mechanisms
🔬 TECHNICAL INFRASTRUCTURE:
Pine Script v6
Advanced mathematical algorithms
Dynamic calculation techniques
🚦 PERFORMANCE TIPS:
Test in different time frames
Find optimal parameters
Apply risk management rules
💼 AREAS OF USE:
Cryptocurrency
Stocks Stock
Forex
Commodities
🌟 SPECIAL RECOMMENDATION:
This indicator is for informational purposes only. Support your investment decisions with professional advisors and your own research.
Squeeze Momentum Strategy [esonusharma]The strategy is based on John Carter's TTM squeeze indicator with some modifications.
Strategy is only for Long trades and not for Short trades .
It combines Bollinger Bands and Keltner Channels to identify periods of low volatility (squeezes) and capitalise on breakout opportunities.
Key Features:
Squeeze Detection: Identifies low-volatility periods using the relationship between Bollinger Bands and Keltner Channels:
Squeeze ON: When Bollinger Bands are inside Keltner Channels.
Squeeze OFF: When Bollinger Bands expand beyond Keltner Channels, signalling potential breakouts.
Momentum Analysis: Uses a custom momentum histogram based on the midline of the Donchian Channel and SMA to assess the strength and direction of price movements.
Green Histogram: Upward momentum.
Red Histogram: Downward momentum.
Backtesting: Start and end dates for precise historical analysis.
Squeeze Background: Highlighted background when a squeeze is active.
Trade Automation: Long trades are initiated after a squeeze ends with upward momentum.
Exits are governed by EMA conditions and profit targets.
9-Period RSI with 3 EMAs, 21 WMA, and 50 DEMA //@version=5
indicator("9-Period RSI with 3 EMAs, 21 WMA, and 50 DEMA", overlay=false)
// Input for RSI length
rsiLength = input.int(9, title="RSI Length", minval=1)
// Input for EMA lengths
emaLength1 = input.int(5, title="EMA Length 1", minval=1)
emaLength2 = input.int(10, title="EMA Length 2", minval=1)
emaLength3 = input.int(20, title="EMA Length 3", minval=1)
// Input for WMA length
wmaLength = input.int(21, title="WMA Length", minval=1)
// Input for DEMA length
demaLength = input.int(50, title="DEMA Length", minval=1)
// Calculate RSI
rsiValue = ta.rsi(close, rsiLength)
// Calculate EMAs based on RSI
ema1 = ta.ema(rsiValue, emaLength1)
ema2 = ta.ema(rsiValue, emaLength2)
ema3 = ta.ema(rsiValue, emaLength3)
// Calculate WMA based on RSI
wma = ta.wma(rsiValue, wmaLength)
// Calculate DEMA based on RSI
ema_single = ta.ema(rsiValue, demaLength)
ema_double = ta.ema(ema_single, demaLength)
dema = 2 * ema_single - ema_double
// Plot RSI
plot(rsiValue, color=color.blue, title="RSI")
// Plot EMAs
plot(ema1, color=color.orange, title="EMA 1 (5)")
plot(ema2, color=color.purple, title="EMA 2 (10)")
plot(ema3, color=color.teal, title="EMA 3 (20)")
// Plot WMA
plot(wma, color=color.yellow, title="WMA (21)", linewidth=2)
// Plot DEMA
plot(dema, color=color.red, title="DEMA (50)", linewidth=2)
// Add horizontal lines for reference
hline(70, "Overbought", color=color.red, linestyle=hline.style_dotted)
hline(30, "Oversold", color=color.green, linestyle=hline.style_dotted)
hline(50, "Midline", color=color.gray, linestyle=hline.style_dotted)
Comprehensive RSI, MACD & Stochastic Table
RSI, MACD, and Stochastic Multi-Asset Indicator for TradingView
Introduction
The RSI, MACD, and Stochastic Multi-Asset Indicator is a comprehensive tool designed for traders who want to analyze multiple assets simultaneously while utilizing some of the most popular technical indicators. This indicator is tailored for all market types—whether you're trading cryptocurrencies, stocks, forex, or commodities—and provides a consolidated dashboard for faster and more informed decision-making.
This tool combines Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator, three of the most effective momentum and trend-following indicators. It provides a visual, color-coded table for quick insights and alerts for significant buy or sell opportunities.
---
What Does This Indicator Do?
This indicator performs the following key functions:
1. Multi-Asset Analysis: Analyze two assets side by side, allowing you to monitor their momentum, trends, and overbought/oversold conditions simultaneously.
2. Combines Three Powerful Indicators:
RSI: Tracks market momentum and identifies overbought/oversold zones.
MACD: Highlights trend direction and momentum shifts.
Stochastic Oscillator: Provides insights into overbought/oversold zones with smoothing for better accuracy.
3. Color-Coded Dashboard: Displays all indicator values in an easy-to-read table with color coding for quick identification of market conditions.
4. Real-Time Alerts: Generates alerts when strong bullish or bearish conditions are met across multiple indicators.
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Key Features
1. Customizable Inputs
You can adjust RSI periods, MACD parameters, Stochastic settings, and timeframes to suit your trading style.
Analyze default or custom assets (e.g., BTC/USDT, ETH/USDT).
2. Multi-Timeframe Support
Use this indicator on any timeframe (e.g., 1-minute, 1-hour, daily) to suit your trading strategy.
3. Comprehensive Dashboard
Displays values for RSI, MACD, and Stochastic for two assets in one clean, compact table.
Automatically highlights overbought (red), oversold (green), and neutral (gray) conditions.
4. Buy/Sell Signals
Plots buy/sell signals on the chart when all indicators align in strong bullish or bearish zones.
Example:
Strong Buy: RSI above 50, Stochastic %K above 80, and MACD histogram positive.
Strong Sell: RSI below 50, Stochastic %K below 20, and MACD histogram negative.
5. Real-Time Alerts
Alerts notify you when a strong buy or sell condition is detected, so you don't miss critical trading opportunities.
---
Who Is This Indicator For?
This indicator is perfect for:
Day Traders who need real-time insights across multiple assets.
Swing Traders who want to identify mid-term trends and momentum shifts.
Crypto, Stock, and Forex Traders looking for a consolidated tool that works across all asset classes.
---
How It Works
1. RSI (Relative Strength Index):
Tracks momentum by measuring the speed and change of price movements.
Overbought: RSI > 70 (Red).
Oversold: RSI < 30 (Green).
2. MACD (Moving Average Convergence Divergence):
Combines two exponential moving averages (EMA) to track momentum and trend direction.
Positive Histogram: Bullish momentum.
Negative Histogram: Bearish momentum.
3. Stochastic Oscillator:
Tracks price relative to its high-low range over a specific period.
Overbought: %K > 80.
Oversold: %K < 20.
4. Table View:
Displays indicator values for both assets in an intuitive table format.
Highlights critical zones with color coding.
5. Alerts:
Alerts are triggered when:
RSI, MACD, and Stochastic align in strong bullish or bearish conditions.
These conditions are based on customizable thresholds.
---
How to Use the Indicator
1. Add the Indicator to Your Chart:
After publishing, search for the indicator by its name in TradingView's Indicators tab.
2. Customize Inputs:
Adjust settings for RSI periods, MACD parameters, and Stochastic smoothing to suit your strategy.
3. Interpret the Table:
Check the table for highlighted zones (red for overbought, green for oversold).
Look for bullish or bearish signals in the "Signal" column.
4. Act on Alerts:
Use the real-time alerts to take action when strong conditions are met.
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Example Use Cases
1. Crypto Day Trading:
Monitor BTC/USDT and ETH/USDT simultaneously for strong bullish or bearish conditions.
Receive alerts when RSI, MACD, and Stochastic align for a potential reversal.
2. Swing Trading Stocks:
Track a stock (e.g., AAPL) and its sector ETF (e.g., QQQ) to find momentum-based opportunities.
3. Forex Scalping:
Identify overbought/oversold conditions across multiple currency pairs.
---
Conclusion
The RSI, MACD, and Stochastic Multi-Asset Indicator simplifies your trading workflow by consolidating multiple technical indicators into one powerful tool. With real-time insights, color-coded visuals, and customizable alerts, this indicator is designed to help you stay ahead in any market.
Whether you're a beginner or an experienced trader, this indicator provides everything you need to make confident trading decisions. Add it to your TradingView chart today and take your analysis to the next level!
---
Make sure to leave your feedback and suggestions so I can continue improving the tool for the community. Happy trading!
Open Close Cross Strategy R5.1 with SL/TPOpen Close Cross Strategy with SL/TP.
SL can be set at the low or high from the last candels.
TP can be changed about R:R.
Uptrick: Fisher Eclipse1. Name and Purpose
Uptrick: Fisher Eclipse is a Pine version 6 extension of the basic Fisher Transform indicator that focuses on highlighting potential turning points in price data. Its purpose is to allow traders to spot shifts in momentum, detect divergence, and adapt signals to different market environments. By combining a core Fisher Transform with additional signal processing, divergence detection, and customizable aggressiveness settings, this script aims to help users see when a price move might be losing momentum or gaining strength.
2. Overview
This script uses a Fisher Transform calculation on the average of each bar’s high and low (hl2). The Fisher Transform is designed to amplify price extremes by mapping data into a different scale, making potential reversals more visible than they might be with standard oscillators. Uptrick: Fisher Eclipse takes this concept further by integrating a signal line, divergence detection, bar coloring for momentum intensity, and optional thresholds to reduce unwanted noise.
3. Why Use the Fisher Transform
The Fisher Transform is known for converting relatively smoothed price data into a more pronounced scale. This transformation highlights where markets may be overextended. In many cases, standard oscillators move gently, and traders can miss subtle hints that a reversal might be approaching. The Fisher Transform’s mathematical approach tightens the range of values and sharpens the highs and lows. This behavior can allow traders to see clearer peaks and troughs in momentum. Because it is often quite responsive, it can help anticipate areas where price might change direction, especially when compared to simpler moving averages or traditional oscillators. The result is a more evident signal of possible overbought or oversold conditions.
4. How This Extension Improves on the Basic Fisher Transform
Uptrick: Fisher Eclipse adds multiple features to the classic Fisher framework in order to address different trading styles and market behaviors:
a) Divergence Detection
The script can detect bullish or bearish divergences between price and the oscillator over a chosen lookback period, helping traders anticipate shifts in market direction.
b) Bar Coloring
When momentum exceeds a certain threshold (default 3), bars can be colored to highlight surges of buying or selling pressure. This quick visual reference can assist in spotting periods of heightened activity. After a bar color like this, usually, there is a quick correction as seen in the image below.
c) Signal Aggressiveness Levels
Users can choose between conservative, moderate, or aggressive signal thresholds. This allows them to tune how quickly the indicator flags potential entries or exits. Aggressive settings might suit scalpers who need rapid signals, while conservative settings may benefit swing traders preferring fewer, more robust indications.
d) Minimum Movement Filter
A configurable filter can be set to ensure that the Fisher line and its signal have a sufficient gap before triggering a buy or sell signal. This step is useful for traders seeking to minimize signals during choppy or sideways markets. This can be used to eliminate noise as well.
By combining all these elements into one package, the indicator attempts to offer a comprehensive toolkit for those who appreciate the Fisher Transform’s clarity but also desire more versatility.
5. Core Components
a) Fisher Transform
The script calculates a Fisher value using normalized price over a configurable length, highlighting potential peaks and troughs.
b) Signal Line
The Fisher line is smoothed using a short Simple Moving Average. Crossovers and crossunders are one of the key ways this indicator attempts to confirm momentum shifts.
c) Divergence Logic
The script looks back over a set number of bars to compare current highs and lows of both price and the Fisher oscillator. When price and the oscillator move in opposing directions, a divergence may occur, suggesting a possible upcoming reversal or weakening trend.
d) Thresholds for Overbought and Oversold
Horizontal lines are drawn at user-chosen overbought and oversold levels. These lines help traders see when momentum readings reach particular extremes, which can be especially relevant when combined with crossovers in that region.
e) Intensity Filter and Bar Coloring
If the magnitude of the change in the Fisher Transform meets or exceeds a specified threshold, bars are recolored. This provides a visual cue for significant momentum changes.
6. User Inputs
a) length
Defines how many bars the script looks back to compute the highest high and lowest low for the Fisher Transform. A smaller length reacts more quickly but can be noisier, while a larger length smooths out the indicator at the cost of responsiveness.
b) signal aggressiveness
Adjusts the buy and sell thresholds for conservative, moderate, and aggressive trading styles. This can be key in matching the indicator to personal risk preferences or varying market conditions. Conservative will give you less signals and aggressive will give you more signals.
c) minimum movement filter
Specifies how far apart the Fisher line and its signal line must be before generating a valid crossover signal.
d) divergence lookback
Controls how many bars are examined when determining if price and the oscillator are diverging. A larger setting might generate fewer signals, while a smaller one can provide more frequent alerts.
e) intensity threshold
Determines how large a change in the Fisher value must be for the indicator to recolor bars. Strong momentum surges become more noticeable.
f) overbought level and oversold level
Lets users define where they consider market conditions to be stretched on the upside or downside.
7. Calculation Process
a) Price Input
The script uses the midpoint of each bar’s high and low, sometimes referred to as hl2.
hl2 = (high + low) / 2
b) Range Normalization
Determine the maximum (maxHigh) and minimum (minLow) values over a user-defined lookback period (length).
Scale the hl2 value so it roughly fits between -1 and +1:
value = 2 * ((hl2 - minLow) / (maxHigh - minLow) - 0.5)
This step highlights the bar’s current position relative to its recent highs and lows.
c) Fisher Calculation
Convert the normalized value into the Fisher Transform:
fisher = 0.5 * ln( (1 + value) / (1 - value) ) + 0.5 * fisher_previous
fisher_previous is simply the Fisher value from the previous bar. Averaging half of the new transform with half of the old value smooths the result slightly and can prevent erratic jumps.
ln is the natural logarithm function, which compresses or expands values so that market turns often become more obvious.
d) Signal Smoothing
Once the Fisher value is computed, a short Simple Moving Average (SMA) is applied to produce a signal line. In code form, this often looks like:
signal = sma(fisher, 3)
Crossovers of the fisher line versus the signal line can be used to hint at changes in momentum:
• A crossover occurs when fisher moves from below to above the signal.
• A crossunder occurs when fisher moves from above to below the signal.
e) Threshold Checking
Users typically define oversold and overbought levels (often -1 and +1).
Depending on aggressiveness settings (conservative, moderate, aggressive), these thresholds are slightly shifted to filter out or include more signals.
For example, an oversold threshold of -1 might be used in a moderate setting, whereas -1.5 could be used in a conservative setting to require a deeper dip before triggering.
f) Divergence Checks
The script looks back a specified number of bars (divergenceLookback). For both price and the fisher line, it identifies:
• priceHigh = the highest hl2 within the lookback
• priceLow = the lowest hl2 within the lookback
• fisherHigh = the highest fisher value within the lookback
• fisherLow = the lowest fisher value within the lookback
If price forms a lower low while fisher forms a higher low, it can signal a bullish divergence. Conversely, if price forms a higher high while fisher forms a lower high, a bearish divergence might be indicated.
g) Bar Coloring
The script monitors the absolute change in Fisher values from one bar to the next (sometimes called fisherChange):
fisherChange = abs(fisher - fisher )
If fisherChange exceeds a user-defined intensityThreshold, bars are recolored to highlight a surge of momentum. Aqua might indicate a strong bullish surge, while purple might indicate a strong bearish surge.
This color-coding provides a quick visual cue for traders looking to spot large momentum swings without constantly monitoring indicator values.
8. Signal Generation and Filtering
Buy and sell signals occur when the Fisher line crosses the signal line in regions defined as oversold or overbought. The optional minimum movement filter prevents triggering if Fisher and its signal line are too close, reducing the chance of small, inconsequential price fluctuations creating frequent signals. Divergences that appear in oversold or overbought regions can serve as additional evidence that momentum might soon shift.
9. Visualization on the Chart
Uptrick: Fisher Eclipse plots two lines: the Fisher line in one color and the signal line in a contrasting shade. The chart displays horizontal dashed lines where the overbought and oversold levels lie. When the Fisher Transform experiences a sharp jump or drop above the intensity threshold, the corresponding price bars may change color, signaling that momentum has undergone a noticeable shift. If the indicator detects bullish or bearish divergence, dotted lines are drawn on the oscillator portion to connect the relevant points.
10. Market Adaptability
Because of the different aggressiveness levels and the optional minimum movement filter, Uptrick: Fisher Eclipse can be tailored to multiple trading styles. For instance, a short-term scalper might select a smaller length and more aggressive thresholds, while a swing trader might choose a longer length for smoother readings, along with conservative thresholds to ensure fewer but potentially stronger signals. During strongly trending markets, users might rely more on divergences or large intensity changes, whereas in a range-bound market, oversold or overbought conditions may be more frequent.
11. Risk Management Considerations
Indicators alone do not ensure favorable outcomes, and relying solely on any one signal can be risky. Using a stop-loss or other protections is often suggested, especially in fast-moving or unpredictable markets. Divergence can appear before a market reversal actually starts. Similarly, a Fisher Transform can remain in an overbought or oversold region for extended periods, especially if the trend is strong. Cautious interpretation and confirmation with additional methods or chart analysis can help refine entry and exit decisions.
12. Combining with Other Tools
Traders can potentially strengthen signals from Uptrick: Fisher Eclipse by checking them against other methods. If a moving average cross or a price pattern aligns with a Fisher crossover, the combined evidence might provide more certainty. Volume analysis may confirm whether a shift in market direction has participation from a broad set of traders. Support and resistance zones could reinforce overbought or oversold signals, particularly if price reaches a historical boundary at the same time the oscillator indicates a possible reversal.
13. Parameter Customization and Examples
Some short-term traders run a 15-minute chart, with a shorter length setting, aggressively tight oversold and overbought thresholds, and a smaller divergence lookback. This approach produces more frequent signals, which may appeal to those who enjoy fast-paced trading. More conservative traders might apply the indicator to a daily chart, using a larger length, moderate threshold levels, and a bigger divergence lookback to focus on broader market swings. Results can differ, so it may be helpful to conduct thorough historical testing to see which combination of parameters aligns best with specific goals.
14. Realistic Expectations
While the Fisher Transform can reveal potential turning points, no mathematical tool can predict future price behavior with full certainty. Markets can behave erratically, and a period of strong trending may see the oscillator pinned in an extreme zone without a significant reversal. Divergence signals sometimes appear well before an actual trend change occurs. Recognizing these limitations helps traders manage risk and avoids overreliance on any one aspect of the script’s output.
15. Theoretical Background
The Fisher Transform uses a logarithmic formula to map a normalized input, typically ranging between -1 and +1, into a scale that can fluctuate around values like -3 to +3. Because the transformation exaggerates higher and lower readings, it becomes easier to spot when the market might have stretched too far, too fast. Uptrick: Fisher Eclipse builds on that foundation by adding a series of practical tools that help confirm or refine those signals.
16. Originality and Uniqueness
Uptrick: Fisher Eclipse is not simply a duplicate of the basic Fisher Transform. It enhances the original design in several ways, including built-in divergence detection, bar-color triggers for momentum surges, thresholds for overbought and oversold levels, and customizable signal aggressiveness. By unifying these concepts, the script seeks to reduce noise and highlight meaningful shifts in market direction. It also places greater emphasis on helping traders adapt the indicator to their specific style—whether that involves frequent intraday signals or fewer, more robust alerts over longer timeframes.
17. Summary
Uptrick: Fisher Eclipse is an expanded take on the original Fisher Transform oscillator, including divergence detection, bar coloring based on momentum strength, and flexible signal thresholds. By adjusting parameters like length, aggressiveness, and intensity thresholds, traders can configure the script for day-trading, swing trading, or position trading. The indicator endeavors to highlight where price might be shifting direction, but it should still be combined with robust risk management and other analytical methods. Doing so can lead to a more comprehensive view of market conditions.
18. Disclaimer
No indicator or script can guarantee profitable outcomes in trading. Past performance does not necessarily suggest future results. Uptrick: Fisher Eclipse is provided for educational and informational purposes. Users should apply their own judgment and may want to confirm signals with other tools and methods. Deciding to open or close a position remains a personal choice based on each individual’s circumstances and risk tolerance.
CCI & BB with DivergenceCCI İndikatörü, yeni bir trendi belirlemek veya aşırı alım-satım bölgelerine gelmiş hisse emtia veya menkul kıymetlerin piyasa koşullarını belirlemek için kullanılabilecek çok taraflı bir göstergedir.
Bollinger Bandı, teknik analizde fiyat hareketlerini yorumlamanıza yardımcı olan çok yönlü bir göstergedir. 1980'lerde John Bollinger tarafından geliştirilen bu teknik, bir finansal varlığın fiyat oynaklığını ve potansiyel fiyat hareketlerini anlamak için kullanılır.
Düzenli uyumsuzluk ve gizli uyumsuzluk olmak üzere iki tür uyumsuzluk vardır. Onlarda kendi aralarında boğa uyumsuzluğu ve ayı uyumsuzluğu olmak üzere ikiye ayrılır. Boğa uyumsuzluklarına pozitif, ayı uyumsuzluklarına negatif uyumsuzluk adı da verilir.
Tüm bu indikatörler birleştirildi
DRSI by Cryptos RocketDRSI by Cryptos Rocket - Relative Strength Index (RSI) Indicator with Enhancements
This script is a custom implementation of the Relative Strength Index (RSI) indicator, designed with several advanced features to provide traders with additional insights. It goes beyond the traditional RSI by including moving averages, Bollinger Bands, divergence detection, dynamic visualization and improved alert functions.
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Key Features
1. RSI Calculation
The RSI is a momentum oscillator that measures the speed and change of price movements. It ranges from 0 to 100 and is calculated as:
• RSI = 100−(1001+Average GainAverage Loss)100 - \left( \frac{100}{1 + \frac{\text{Average Gain}}{\text{Average Loss}}} \right)
This script allows users to:
• Set the RSI length (default: 14).
• Choose the price source for calculation (e.g., close, open, high, low).
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2. Dynamic Visualization
• Background Gradient Fill:
o Overbought zones (above 70) are highlighted in red.
o Oversold zones (below 30) are highlighted in green.
• These gradients visually indicate potential reversal zones.
________________________________________
3. Moving Averages
The script provides a range of moving average options to smooth the RSI:
• Types: SMA, EMA, SMMA (RMA), WMA, VWMA, and SMA with Bollinger Bands.
• Customizable Length: Users can set the length of the moving average.
• Bollinger Bands: Adds standard deviation bands around the SMA for volatil
ity analysis.
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4. Divergence Detection
This feature identifies potential price reversals by comparing price action with RSI behavior:
• Bullish Divergence: When price forms lower lows but RSI forms higher lows.
• Bearish Divergence: When price forms higher highs but RSI forms lower highs.
Features include:
• Labels ("Bull" and "Bear") on the chart marking detected divergences.
• Alerts for divergences synchronized with plotting for timely notifications.
________________________________________
5. Custom Alerts
The script includes alert conditions for:
• Regular Bullish Divergence
• Regular Bearish Divergence
These alerts trigger when divergences are detected, helping traders act promptly.
________________________________________
Customization Options
Users can customize various settings:
1. RSI Settings:
o Length of the RSI.
o Price source for calculation.
o Enable or disable divergence detection (enabled by default).
2. Moving Average Settings:
o Type and length of the moving average.
o Bollinger Band settings (multiplier and standard deviation).
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Use Cases
1. Overbought and Oversold Conditions:
o Identify potential reversal points in extreme RSI zones.
2. Divergences:
o Detect discrepancies between price and RSI to anticipate trend changes.
3. Volatility Analysis:
o Utilize Bollinger Bands around the RSI for added context on market conditions.
4. Trend Confirmation:
o Use moving averages to smooth RSI and confirm trends.
________________________________________
How to Use
1. Add the indicator to your chart.
2. Customize the settings based on your trading strategy.
3. Look for:
o RSI crossing overbought/oversold levels.
o Divergence labels for potential reversals.
o Alerts for automated notifications.
________________________________________
DRSI by Cryptos Rocket combines classic momentum analysis with modern tools, making it a versatile solution for technical traders looking to refine their strategies.
Candle Spread Oscillator (CS0)The Candle Spread Oscillator (CSO) is a custom technical indicator designed to help traders identify momentum and directional strength in the market by analyzing the relationship between the candle body spread and the total candle range. This oscillator provides traders with a visually intuitive representation of price action dynamics and highlights key transitions between positive and negative momentum.
How It Works:
Body Spread vs. Total Range:
The CSO calculates the body spread (difference between the close and open price) and compares it to the total range (difference between the high and low price) of a candle.
The ratio of the body spread to the total range represents the proportion of price movement driven by directional momentum.
Smoothed Oscillator:
To remove noise and enhance clarity, the ratio is smoothed using a Hull Moving Average (HMA). The smoothing period can be adjusted through the "Smoothing Period" input, enabling traders to tailor the indicator to their preferred timeframes or strategies.
Gradient Visualization:
A gradient coloring is applied to the oscillator, transitioning smoothly between colors (e.g., fuchsia for negative momentum and aqua for positive momentum). This provides traders with a clear, intuitive visual cue of market behavior.
Visual Features:
Oscillator Plot:
The oscillator is displayed as an area-style plot, dynamically colored using a gradient. Positive values are represented in shades of aqua, while negative values are in shades of fuchsia.
Midline (0 Level):
A horizontal midline is plotted at the zero level, serving as a key reference point for identifying transitions between positive and negative momentum.
Background Highlights:
The chart background is subtly colored to match the oscillator's state, enhancing the visual emphasis on current momentum conditions.
Alerts for Key Crossovers:
The CSO comes with built-in alert conditions, making it highly actionable for traders:
Cross Up Alert: Triggers when the oscillator crosses above the midline (0), signaling a potential shift into positive momentum.
Cross Down Alert: Triggers when the oscillator crosses below the midline (0), indicating a potential transition into negative momentum.
These alerts allow traders to stay informed about critical market shifts without constantly monitoring the chart.
How to Use:
Trend Identification:
When the oscillator is above the midline and positive, it indicates that price action is moving with bullish momentum.
When the oscillator is below the midline and negative, it reflects bearish momentum.
Momentum Strength:
The magnitude of the oscillator (its distance from the midline) helps traders gauge the strength of the momentum. Stronger moves will push the oscillator further from zero.
Potential Reversals:
Crossovers of the oscillator through the midline can signal potential reversals or shifts in market direction.
Customization:
Adjust the Smoothing Period to adapt the sensitivity of the oscillator to different timeframes. A lower smoothing period reacts faster to price changes, while a higher smoothing period smooths out noise.
Best Use Cases:
Momentum Trading: Identify periods of sustained bullish or bearish momentum to align with the trend.
Reversal Signals: Spot transitions in market direction when the oscillator crosses the midline.
Confirmation Tool: Use the CSO alongside other indicators (e.g., volume, trendlines, or moving averages) to confirm trading signals.
Key Inputs:
Smoothing Period: Customize the sensitivity of the oscillator by adjusting the lookback period for the Hull Moving Average.
Gradient Range: The color gradient transitions between defined thresholds (-0.1 to 0.2 by default), ensuring a smooth visual experience.
[Why Use the Candle Spread Oscillator?
The CSO is a simple yet powerful tool for traders who want to:
Gain a deeper understanding of price momentum.
Quickly visualize shifts between bullish and bearish trends.
Use clear, actionable signals with customizable alerts.
Disclaimer: This indicator is not a standalone trading strategy. It should be used in combination with other technical and fundamental analysis tools. Always trade responsibly, and consult a financial advisor for personalized advice.
흑트3 시그널 PlotThis indicator uses a double golden cross/dead cross between the WaveTrend WT line and the Signal line, combined with price divergence. The signal is triggered at the second golden cross or dead cross when specific conditions are met.
Long Signal
* Two golden crosses of the WaveTrend indicator must occur.
1. The first golden cross must happen below the WaveTrend oversold line.
2. The second golden cross must occur above the WaveTrend oversold line.
* The two golden crosses should move upward, while the price at the time of these crosses creates a downward divergence.
* A signal is triggered at the second golden cross if the above conditions are satisfied.
Short Signal
* Opposite to the long signal:
1. Two dead crosses of the WaveTrend indicator must occur.
2. The first dead cross must happen above the WaveTrend overbought line.
3. The second dead cross must occur below the WaveTrend overbought line.
* The two dead crosses should move downward, while the price at the time of these crosses creates an upward divergence.
* A signal is triggered at the second dead cross if the above conditions are satisfied.
Filter Options
1. Minimum Bars Option
* The second golden/dead cross will only be displayed if it occurs after a minimum number of bars (e.g., 5 bars) from the first golden/dead cross found in the oversold/overbought zone (-60/60).
* Any golden/dead cross found within fewer bars than the specified minimum is ignored.
2. Maximum Bars Option
* Only the second golden/dead cross occurring within the maximum number of bars (e.g., 25 bars) from the first golden/dead cross in the oversold/overbought zone (-60/60) will be displayed.
* Any golden/dead cross found beyond the maximum bar threshold is ignored.
*Additional Notes
multiple signals can occur within the specified maximum bar range in oversold/overbought zones. Starting from the second signal, the methodology of "흑트3" no longer applies, but this can be interpreted as an accumulation of divergence. This may indicate the strengthening of a potential trend reversal force.
시그널 설명
wavetrend WT라인과 시그널라인의 더블 골든크로스/데드크로스를 활용, 가격과의 다이버전스를 이용한 기법으로 조건에 맞는 두번째 골크나 데크에서 시그널 발생.
롱 조건
wavetrend 골든크로스가 두번 발생해야 함.
첫번째 골든 크로스는 wavetrend oversold 라인 아래에 위치해야 하고 두번째 골든 크로스는 oversold 라인 위에 위치해야함.
두개의 골든 크로스는 위로 올라가고 골든 크로스들이 발생한 시점의 가격은 내려가는 다이버전스를 만들어야 함.
위 조건들이 만족될 때 두번째 골든 크로스가 발생시 시그널 발생.
숏 조건
롱과는 반대
wavetrend 데드크로스가 두번 발생해야 함.
첫번째 데드 크로스는 wavetrend overbought 라인 위에 위치해야 하고 두번째 데드크로스는 overbought 라인 아래에 위치해야함.
두개의 데드 크로스는 아래로 내려가고 데드 크로스들이 발생한 시점의 가격은 올라가는 다이버전스를 만들어야 함.
위 조건들이 만족될 때 두번째 골든 크로스가 발생시 시그널 발생.
Filter 옵션
최소바 옵션 : 과매도/과매수(-60/60) 구간에서 발견한 첫번째 골크/데크에서 최소 지정된 바(e.g 5) 개수 이상에서만 발견된 두번째 골크/데크 표시. 최소바 기준 안에서 발견된 골크/데크는 무시.
최대바 옵션: 과매도/과매수(-60/60) 구간에서 발견한 첫번째 골크/데크에서 최대 지정된 바(e.g 25) 개수 안에있는 발견된 두번째 골크/데크들만 표시. 최대바 기준을 넘어서는 너무 먼 골크/데크는 무시.
*과매도/과매수 구간에서 골크/데크를 최대 지정된 바 개수 이내에서 여러번의 신호가 발생 가능. 두번째 신호부터는 흑트3의 기법이 무효되나 다이버전스 축적의 개념으로 보고 추세 전환의 힘이 쌓이고 있다고 생각해볼수도 있음.
흑트2 Signal PlotSignal Description
This strategy utilizes double golden crosses and dead crosses of the MACD (Moving Average Convergence Divergence). When a second golden cross or dead cross meeting the specified conditions occurs, a signal is generated.
Long Position
1. The MACD must form two golden crosses below the zero line.
2. The first golden cross must be lower than the second golden cross.
Short Position
1. The MACD must form two dead crosses above the zero line.
2. The first dead cross must be higher than the second dead cross.
Position Entry
* after confirming a signal, wait for confirmation, such as breaking a resistance level in the desired direction on the observed timeframe.
* Enter the position at the breakout point when such confirmation occurs.
Filtering Options
To reduce noise, several filtering functions have been added. Further research may be needed.
1. Minimum Bar Count Between Golden/Dead Crosses (default = 5):
* Sets the minimum number of bars between crosses to ignore signals in sideways markets with frequent crosses due to small fluctuations.
2. Maximum Bar Count Between Golden/Dead Crosses (default = 30):
* Considers crosses too far apart as noise and ignores them.
3. Percentage Change Between Golden/Dead Crosses (default = 1%):
* Filters out signals where the percentage difference between the first and second cross is too small, considering them as noise.
4. Candle Close Comparison:
* When a golden cross occurs, the price should be declining.
* When a dead cross occurs, the price should be rising.
* In other words, filters signals to only consider MACD divergence.
5. RSI Filter:
* Displays long/short signals only when the RSI is above (or below) a specified level.
시그널 설명
맥디(macd)의 더블 골든크로스와 데드크로스를 활용한 기법. 조건에 맞는 두번재 데드크로스나 골든 크로스가 발생하였을때 두번째 골크나 데크에서 시그널 발생.
롱
macd가 제로라인 아래에서 골크를 두번생성.
첫번째 골크가 두번째 골크보다 아래에 있어야 함.
숏
macd가 제로라인 위에서 데드를 두번생성.
첫번째 데크가 두번째 데크보다 위에 있어야 함.
포지션 진입.
시그널이 발생하고 원하는 방향으로의 보는 시간프레임에서의 저항을 돌파하는 흐름이 나올때 돌파지점에서 포지션 진입.
필터링 : 노이즈 제거용으로 몇가지 필터링 기능을 추가함. 더 연구가 필요.
1. 골크/데크사이 최소바 개수(default=5) : 골크/데크간 최소 바의 개수로 횡보구간에서 작은 변동성으로 너무 잦은 골크/데크 발생하는 것을 무시하기 위한 옵션.
2. 골크/데크사이 최대바 개수(default=30): 골크/데크간 간격이 너무 넓은 것은 노이즈 간주하기 위한 옵션.
3. 골크/데크간 변화(%)(default=1) : 첫번째 골크(또는 데크)와 두번째 골크와의 변화율이 너무 적은 경우 노이즈로 간주 필터링 할수 있는 옵션.
4. 봉마감 비교: 골드가 발생하였을때 가격은 하락, 데크가 발생하였을때 가격은 상승. 즉 macd다이버전스 일때만 필터링
5. RSI filter : rsi 가 지정된 가격 이상(또는 이하)일때만 롱/숏 시그널 표시.
흑트2 시그널Signal Description
This strategy utilizes double golden crosses and dead crosses of the MACD (Moving Average Convergence Divergence). When a second golden cross or dead cross meeting the specified conditions occurs, a signal is generated.
Long Position
1. The MACD must form two golden crosses below the zero line.
2. The first golden cross must be lower than the second golden cross.
Short Position
1. The MACD must form two dead crosses above the zero line.
2. The first dead cross must be higher than the second dead cross.
Position Entry
* after confirming a signal, wait for confirmation, such as breaking a resistance level in the desired direction on the observed timeframe.
* Enter the position at the breakout point when such confirmation occurs.
Filtering Options
To reduce noise, several filtering functions have been added. Further research may be needed.
1. Minimum Bar Count Between Golden/Dead Crosses (default = 5):
* Sets the minimum number of bars between crosses to ignore signals in sideways markets with frequent crosses due to small fluctuations.
2. Maximum Bar Count Between Golden/Dead Crosses (default = 30):
* Considers crosses too far apart as noise and ignores them.
3. Percentage Change Between Golden/Dead Crosses (default = 1%):
* Filters out signals where the percentage difference between the first and second cross is too small, considering them as noise.
4. Candle Close Comparison:
* When a golden cross occurs, the price should be declining.
* When a dead cross occurs, the price should be rising.
* In other words, filters signals to only consider MACD divergence.
5. RSI Filter:
* Displays long/short signals only when the RSI is above (or below) a specified level.
시그널 설명
맥디(macd)의 더블 골든크로스와 데드크로스를 활용한 기법. 조건에 맞는 두번재 데드크로스나 골든 크로스가 발생하였을때 두번째 골크나 데크에서 시그널 발생.
롱
macd가 제로라인 아래에서 골크를 두번생성.
첫번째 골크가 두번째 골크보다 아래에 있어야 함.
숏
macd가 제로라인 위에서 데드를 두번생성.
첫번째 데크가 두번째 데크보다 위에 있어야 함.
포지션 진입.
시그널이 발생하고 원하는 방향으로의 보는 시간프레임에서의 저항을 돌파하는 흐름이 나올때 돌파지점에서 포지션 진입.
필터링 : 노이즈 제거용으로 몇가지 필터링 기능을 추가함. 더 연구가 필요.
1. 골크/데크사이 최소바 개수(default=5) : 골크/데크간 최소 바의 개수로 횡보구간에서 작은 변동성으로 너무 잦은 골크/데크 발생하는 것을 무시하기 위한 옵션.
2. 골크/데크사이 최대바 개수(default=30): 골크/데크간 간격이 너무 넓은 것은 노이즈 간주하기 위한 옵션.
3. 골크/데크간 변화(%)(default=1) : 첫번째 골크(또는 데크)와 두번째 골크와의 변화율이 너무 적은 경우 노이즈로 간주 필터링 할수 있는 옵션.
4. 봉마감 비교: 골드가 발생하였을때 가격은 하락, 데크가 발생하였을때 가격은 상승. 즉 macd다이버전스 일때만 필터링
5. RSI filter : rsi 가 지정된 가격 이상(또는 이하)일때만 롱/숏 시그널 표시.
흑트3 시그널This indicator uses a double golden cross/dead cross between the WaveTrend WT line and the Signal line, combined with price divergence. The signal is triggered at the second golden cross or dead cross when specific conditions are met.
Long Signal
* Two golden crosses of the WaveTrend indicator must occur.
1. The first golden cross must happen below the WaveTrend oversold line.
2. The second golden cross must occur above the WaveTrend oversold line.
* The two golden crosses should move upward, while the price at the time of these crosses creates a downward divergence.
* A signal is triggered at the second golden cross if the above conditions are satisfied.
Short Signal
* Opposite to the long signal:
1. Two dead crosses of the WaveTrend indicator must occur.
2. The first dead cross must happen above the WaveTrend overbought line.
3. The second dead cross must occur below the WaveTrend overbought line.
* The two dead crosses should move downward, while the price at the time of these crosses creates an upward divergence.
* A signal is triggered at the second dead cross if the above conditions are satisfied.
Filter Options
1. Minimum Bars Option
* The second golden/dead cross will only be displayed if it occurs after a minimum number of bars (e.g., 5 bars) from the first golden/dead cross found in the oversold/overbought zone (-60/60).
* Any golden/dead cross found within fewer bars than the specified minimum is ignored.
2. Maximum Bars Option
* Only the second golden/dead cross occurring within the maximum number of bars (e.g., 25 bars) from the first golden/dead cross in the oversold/overbought zone (-60/60) will be displayed.
* Any golden/dead cross found beyond the maximum bar threshold is ignored.
시그널 설명
wavetrend WT라인과 시그널라인의 더블 골든크로스/데드크로스를 활용, 가격과의 다이버전스를 이용한 기법으로 조건에 맞는 두번째 골크나 데크에서 시그널 발생.
롱 조건
wavetrend 골든크로스가 두번 발생해야 함.
첫번째 골든 크로스는 wavetrend oversold 라인 아래에 위치해야 하고 두번째 골든 크로스는 oversold 라인 위에 위치해야함.
두개의 골든 크로스는 위로 올라가고 골든 크로스들이 발생한 시점의 가격은 내려가는 다이버전스를 만들어야 함.
위 조건들이 만족될 때 두번째 골든 크로스가 발생시 시그널 발생.
숏 조건
롱과는 반대
wavetrend 데드크로스가 두번 발생해야 함.
첫번째 데드 크로스는 wavetrend overbought 라인 위에 위치해야 하고 두번째 데드크로스는 overbought 라인 아래에 위치해야함.
두개의 데드 크로스는 아래로 내려가고 데드 크로스들이 발생한 시점의 가격은 올라가는 다이버전스를 만들어야 함.
위 조건들이 만족될 때 두번째 골든 크로스가 발생시 시그널 발생.
Filter 옵션
최소바 옵션 : 과매도/과매수(-60/60) 구간에서 발견한 첫번째 골크/데크에서 최소 지정된 바(e.g 5) 개수 이상에서만 발견된 두번째 골크/데크 표시. 최소바 기준 안에서 발견된 골크/데크는 무시.
최대바 옵션: 과매도/과매수(-60/60) 구간에서 발견한 첫번째 골크/데크에서 최대 지정된 바(e.g 25) 개수 안에있는 발견된 두번째 골크/데크들만 표시. 최대바 기준을 넘어서는 너무 먼 골크/데크는 무시.
