The Traders Support & Resistance LevelsThis script automatically detects pivot-based support and resistance levels and draws dynamic trendlines based on recent price action.
🔹 Support & Resistance Levels
Pivot points are calculated using customizable left/right bar logic. A pivot high (or low) is confirmed when leftBars candles to the left and rightBars candles to the right are lower (or higher).
Triangles are plotted when a level is confirmed:
🔻 🟡 Yellow Down Triangle = Confirmed Resistance
🔺 🟣 Purple Up Triangle = Confirmed Support
Lines are drawn at confirmed levels.
If enough lines are confirmed, the oldest one is converted into a zone using a thick, semi-transparent line.
🔹 Trendline Logic
Trendlines are drawn between the last two support points (for uptrend) and last two resistance points (for downtrend).
The slope and price relationship determine trend strength, visualized by color:
Condition Color Meaning
Uptrend + Price Above + Steep 🟨 Yellow Strong Uptrend
Uptrend + Price Above 🔷 Blue Weak Uptrend
Downtrend + Price Below + Steep 💗 Fuchsia Strong Downtrend
Downtrend + Price Below 🟣 Purple Weak Downtrend
Otherwise ⚪️ Gray Neutral / No Trend
⚙️ Customizable Inputs
leftBars, rightBars: Adjust sensitivity of pivot detection
previewBars: Show early "draft" lines before confirmation
volumeThresh: Reserved for future enhancements
Komut dosyalarını "trendline" için ara
TrendSync Pro (SMC)📊 TrendSync Pro (SMC) – Advanced Trend-Following Strategy with HTF Alignment
Created by Shubham Singh
🔍 Strategy Overview
TrendSync Pro (SMC) is a precision-based smart trend-following strategy inspired by Smart Money Concepts (SMC). It combines: Real-time pivot-based trendline detection
Higher Time Frame (HTF) filtering to align trades with dominant trend
Risk management via adjustable Stop Loss (SL) and Take Profit (TP)
Directional control — trade only bullish, bearish, or both setups
Realistic backtesting using commissions and slippage
Pre-optimized profiles for scalpers, intraday, swing, and long-term traders
🧠 How It Works:
🔧 Strategy Settings Image:
beeimg.com
The strategy dynamically identifies trend direction by using swing high/low pivots. When a new pivot forms: It draws a trendline from the last significant pivot
Detects whether the trend is up (based on pivot lows) or down (based on pivot highs)
Waits for price to break above/below the trendline
Confirms with HTF price direction (HTF close > previous HTF close = bullish)
Only then it triggers a long or short trade
It exits either at TP, SL, or a manual trendline break
🛠️ Adjustable Parameters:
Trend Period: Length for pivot detection (affects sensitivity of trendlines)
HTF Timeframe: Aligns lower timeframe entries with higher timeframe direction
SL% and TP%: Customize your risk-reward profile
Commission & Slippage: Make backtests more realistic
Trade Direction: Choose to trade: Long only, Short only, or Both
🎛️ Trade Direction Control:
In settings, you can choose: Bullish Only: Executes only long entries
Bearish Only: Executes only short entries
Both: Executes both long and short entries when conditions are met
This allows you to align trades with your own market bias or external analysis.
📈 Entry Logic: Long Entry:
• Price crosses above trendline
• HTF is bullish (HTF close > previous close)
• Latest pivot is a low (trend is considered up)
Short Entry:
• Price crosses below trendline
• HTF is bearish (HTF close < previous close)
• Latest pivot is a high (trend is considered down)
📉 Exit Logic: Hit Take Profit or Stop Loss
Manual trendline invalidation: If price crosses opposite of the trend direction
⏰ Best Timeframes & Recommended Settings:
Scalping (1m to 5m):
HTF = 15m | Trend Period = 7
SL = 0.5% | TP = 1% to 2%
Intraday (15m to 30m):
HTF = 1H | Trend Period = 10–14
SL = 0.75% | TP = 2% to 3%
6 Hour Trading (30m to 1H):
HTF = 4H | Trend Period = 20
SL = 1% | TP = 4% to 6%
Swing Trading (4H to 1D):
HTF = 1D | Trend Period = 35
SL = 2% | TP = 8% to 12%
Long-Term Investing (1D+):
HTF = 1W | Trend Period = 50
SL = 3% | TP = 15%+
Note: These are recommended base settings. Adjust based on volatility, asset class, or personal trading style.
📸 Testing Note:
beeimg.com
TradingView limits test length to 20k bars (~40 trades on smaller timeframes). To show long-term results: Test on higher timeframes (e.g., 1H, 4H, 1D)
Share images of backtest result in description
Host longer test result screenshots on Imgur or any public drive
📍 Asset Behavior Insight:
This strategy works on multiple assets, including BTC, ETH, etc.
Performance varies by trend strength:
Sometimes BTC performs better than ETH
Other times ETH gives better results
That’s normal as both assets follow different volatility and trend behavior
It’s a trend-following setup. Longer and clearer the trend → better the results.
✅ Best Practices: Avoid ranging markets
Use proper SL/TP for each timeframe
Use directional filter if you already have a directional bias
Always forward test before going live
⚠️ Trading Disclaimer:
This script is for educational and backtesting purposes only. Trading involves risk. Always use risk management and never invest more than you can afford to lose.
EQS by SiriusProtected Script Description: "EQS by Sirius"
This indicator is protected and published as invite-only due to its original multi-timeframe structure, advanced visual logic, and proprietary handling of liquidity zones and equal high/low detection. The complexity of its design—featuring adaptive time-based plotting, contextual tooltips, and dynamic zone tracking—reflects a level of custom development intended for professional use, necessitating source protection.
Purpose and Core Logic
“EQS by Sirius” is designed to detect and visualize Equal Highs and Equal Lows (EQS) across multiple timeframes. These levels are commonly interpreted as potential liquidity zones or key market structures, often used by traders for identifying breakout traps, stop hunts, or reversal points. The script applies a precision-based algorithm to identify these EQS levels, providing users with visual cues to support decision-making in various market contexts.
The detection logic is based on comparing the difference between two successive highs (or lows) relative to the high-low range of the bars, allowing the user to fine-tune sensitivity via a precision parameter. When valid EQS conditions are met, horizontal lines are drawn at the detected price level, accompanied by optional shadow trendlines to represent liquidity channels.
Visual Outputs and Features
The indicator provides a rich and customizable visual environment, including:
Multi-Timeframe EQS Detection: Configurable from 1-minute to 4-hour timeframes with automatic sequencing.
Zone Highlighting: Optional background shading for designated date intervals.
Dynamic Shadow Mode: Projects angled trendlines representing potential liquidity zones based on EQS formations.
Touch Counters: Real-time counting of price interactions with plotted EQS levels.
Tooltips: Each label includes a timestamp and price breakdown to provide contextual clarity.
Line Customization: Adjustable color, width, and transparency for each EQS type and its shadow projections.
Auto-zoom Scaling: Adapts visual density based on the active chart’s timeframe.
Visibility Filters: Adjustable proximity thresholds ensure only relevant lines are displayed based on current price action.
How to Use in Trading
Traders can use this tool to:
Identify liquidity targets where price may reverse or accelerate due to stop hunts or breakout traps.
Analyze multi-timeframe confluence by comparing EQS zones from higher timeframes with local market structure.
Monitor touch counts to assess the strength or weakening of support/resistance levels.
Visualize trendline-based liquidity zones using the “shadow mode” to infer possible manipulation or price magnet areas.
Integrate with existing strategies for entry/exit timing, particularly in breakout and mean-reversion models.
Due to the high level of customizability and visual control, the script is suitable for discretionary traders, smart money concept practitioners, and those seeking to combine structural analysis with liquidity mapping.
Midnight Range Standard DeviationsCredit to Lex Fx for the basic framework of this script
This indicator is designed to assist traders in identifying potential trading opportunities based on the Intraday Concurrency Technique (ICT) concepts, specifically the midnight range deviations and their relationship to Fibonacci levels. It builds upon the work of Lex-FX, whom we gratefully acknowledge for the original concept and inspiration for this indicator.
Core Concept: ICT Midnight Range
The core of this indicator revolves around the concept of the midnight range. According to ICT, the high and low formed in a specific time window (typically the first 30 minutes after midnight, New York Time) can serve as a key reference point for intraday price action. The indicator identifies this range and projects potential support and resistance levels based on deviations from this range, combined with Fibonacci ratios.
How ICT Uses Midnight Range Deviations
ICT methodology often involves looking for price to move away from the initial midnight range, then return to it, or deviate beyond it, as key areas for potential entries.
Range Identification: The indicator automatically identifies the high and low of the midnight range (00:00 - 00:30 NY Time).
Deviation Levels: The indicator calculates and displays deviation levels based on multiples of the initial midnight range. These levels are often used to identify potential areas of support and resistance, as well as potential targets for price movement. These levels can be set in the additional fib levels section, which can be configured in increments of .5 deviations all the way up to 12 deviations.
Fibonacci Confluence: ICT often emphasizes the confluence of multiple factors. This indicator adds Fibonacci levels to the midnight range deviations. This allows traders to identify areas where Fibonacci retracements or extensions align with the deviation levels, potentially creating stronger areas of support or resistance.
Looking for Sweeps: ICT often uses these levels to look for times that the high and low are swept as potential areas of liquidity, indicating the start of potential continuations.
Time-Based Analysis: The time at which price interacts with these levels can also be significant in ICT. The indicator provides options to extend the range lines to specific times (e.g., 3 hours, 6 hours, 10 hours, 12 hours, or a custom defined time) after midnight, allowing traders to focus on specific periods of the trading day.
Indicator Settings Explained:
Time Zone (TZ): Defines the time zone used for calculating the midnight range. The default is "America/New_York".
Range High Color, Range Low Color, Range Mid Color: Customize the colors of the high, low, and mid-range lines.
Range Fill Color: Sets the fill color for the area between the range high and low.
Line Style: Choose the style of the range lines (solid, dashed, dotted).
Range Line Thickness: Adjust the thickness of the range lines for better visibility.
Show Fibonacci Levels: Enable or disable the display of Fibonacci deviation levels.
Fib Up Color, Fib Down Color: Customize the colors of the Fibonacci levels above (up) and below (down) the midnight range.
Show Trendline: Enables a trendline that plots the close price, colored according to whether the price is above the high, below the low, or within the midnight range.
Show Range Lines, Show Range Labels: Toggles the visibility of the range lines and their associated labels.
Label Size: Adjust the size of the labels for better readability.
Hide Prices: Option to display only the deviation values on labels, hiding price values.
Place Fibonacci Labels on Left Side: Option to switch label position from right side to left side.
Extend Range To (Hours from Midnight): This section gives you a wide variety of options on how far you want to extend the range to, you can do 3,6,10,12, and 23 hours. Alternatively, you can select the "Use Custom Length" and set a specific time in hours.
Additional Fib Levels: This section allows the trader to set additional deviation points in increments of .5 deviations from .5 all the way up to 12 deviations
TradingView Community Guidelines Compliance:
This indicator description adheres to the TradingView community guidelines by:
Being educational: It explains the ICT methodology and how the indicator can be used in trading.
Being transparent: It clearly describes all the indicator's settings and their purpose.
Providing credit: It acknowledges Lex-FX as the original author of the concept.
Avoiding misleading claims: It does not guarantee profits or imply that the indicator is a "holy grail."
Disclaimer: Usage of this indicator and the information provided is at your own risk. The author is not responsible for any losses incurred as a result of using this indicator.
Important Considerations:
This indicator is intended for educational purposes and to assist in applying the ICT methodology.
It should not be used as a standalone trading system.
Always combine this indicator with other forms of technical analysis and risk management techniques.
Backtest thoroughly on your chosen market and timeframe before using in live trading.
Trading involves risk. Only trade with capital you can afford to lose.
tabbys star [Algo Seeker]Tabbys Star Mission:
Identifying key supply and demand areas for entries, identifying trends for holding positions, and locating potential re-entry or exit points is incredibly useful for traders and investors. This algorithm is designed to simplify these critical processes by providing actionable and intuitive tools directly on the chart.
🟢 Supply & Demand Zones (S&D)
The algorithm identifies key entry points by creating supply and demand blocks that automatically expand across the chart. These blocks remain active until invalidated, helping traders maintain awareness of significant price levels. When a new pivot point is identified, the algorithm generates a new supply or demand block that starts expanding from that pivot. This functionality enables traders to monitor evolving zones while referencing older ones, which might still act as weaker pivot points. These areas are incredibly unique and useful for traders, as they dynamically adapt to price action and provide clear visual cues for decision-making.
🟢 Continuation and Exit Signals
The algorithm also highlights areas for potential re-entries or exits. When the price moves beyond a supply or demand block, arrows are displayed to signal that this area may now be optimal for re-entering a trade or exiting a position.
Separating this logic from supply and demand zones offers significant flexibility for traders. For example, those who wish to hold positions initiated at an order block can confidently wait for these signals before taking profits. Similarly, traders who missed the initial opportunity at an order block can use these signals to evaluate new trade opportunities. This feature is incredibly useful for adapting to evolving market conditions.
🟩 Important Note
Arrow/triangle signals are not definitive indicators of upward or downward movement; they serve as calls to attention. These signals should be analyzed in conjunction with supply and demand zones.
For example, if a signal suggests bullish movement but the price falls below the current supply or demand zone, the signal was merely a call to attention. In such cases, it may indicate the need to set a stop loss or even consider a bearish trade below the zone.
Signals should be viewed as one of several factors to consider and should never be traded on in isolation.
🟢 Trendlines for Additional Confluence
In addition to supply and demand zones, the algorithm generates trendlines to help traders better visualize market trends. These trend lines are drawn from pivot points within the supply and demand blocks, providing an additional layer of confluence. For traders who rely on trendline breaks to make decisions, this feature enhances the overall analysis and adds value to the trading strategy.
🟢 Candle Color Coding
To further enhance clarity, the algorithm color-codes candles based on their position relative to the most recent order block:
Bullish: When the price is above the most recent order block.
Neutral: When the price is within the order block.
Bearish: When the price is below the order block.
This color-coding offers a unique and useful visual representation of the current market sentiment, allowing traders to assess price action at a glance.
Settings Overview
🟢Calculation Strength
This setting allows the user to choose how strict the algorithm should be when calculating data. The Standard option generates more entry and exit signals because the calculations are more lenient.. The Restrictive option uses stricter calculations, resulting in fewer signals for entries and exits.
🟢Use Current Bar:
If checked, the conditions will act on the current bar (real-time updates). If unchecked, the conditions will act after the bar closes. For a non-repainting indicator, leave this unchecked.
🟢Session Type:
Both:
Includes market and after-market hours.
RTH:
Regular trading hours only.
🟢Max Trend Lines:
"1": No trend lines will be shown.
"2" or higher: Displays trend lines based on pivot points.
🟢Bar Color:
Allows selection of candle colors based on the parameters discussed above.
🟢Signal Colors:
As described earlier.
🟢Alerts
For when a signal is created.
Conclusion
This tool is designed to hopefully assist investors and traders by:
Identifying key supply and demand areas for entries.
Highlighting trends for holding positions.
Pinpointing potential re-entry or exit points.
RSI Candle (Tommy)This indicator is the open(free) version of TTT_Crack_RSI_Ver_2.1.0 we have published a while ago.
Hello dear traders from all over the world!
It has been a while since our team started concentrating on the technical indicators that apply sources not only on the closed price but also on the high/low prices of the candlestick to overcome the limitations of existing indicators. As mentioned repeatedly before, most of widely adapted indicators in technical chart these days are generated only with the closed prices, not taking in consideration of the wicks or tails of the candlesticks. This crucially leads to a rapid decrease in the reliability especially in current financial market, where ignoring other portions within a candlestick structure and putting weights just on candle body often causes fatal trading outcome. Since phenomenons such as wide price fluctuation and non-ideal price momentum occur more frequently compared to the old days when TA used to perfectly work just as the images in a textbook, sourcing OHLC (Open, High, Low, Closed) prices from a candle structure is becoming more essential and practical.
Such revolutionary perceptions and insights could be easily acquired: by just adding high/low prices of the candlesticks when computing technical indicators, many more meaningful signals were observed. One of the popular indicators we have recently attempted to reflect this very idea was RSI (Relative Strength Index) that was published by the name of “RSI Cloud” months ago. As shown below, this groundbreaking index was to be comprehended as a band or a cloud rather than a single line. In fact, many unexpected methodologies, techniques, and insights were discovered through countless applications as our team went through series of experiments and back/forward tests. The results were quite shocking: Little did we know that drawing trendlines, parallel channels, and previous highs/lows etc. just like we do on the regular candlestick chart would also work decisively. Not only divergences were efficiently captured, but ‘SR Flip’ techniques also functioned as well.
Anyway, validation and verification process has been successful, ensuring that taking all of the candlestick into an account within the indicators provides much more meaningful signals than the indicators with ‘closed source’, the default setting. During thousands of our trials, we questioned to ourselves: If we are going to transform candlestick structure into an equation utilizing all of the prices, why don’t we just express the index with the same format, as another candlestick? The initial intention of the clouds or bands were to adapt the tails of the candle and to smooth them out. And this radical idea changed the whole game. By applying this candlestick format insights, even more significant signals were brought up on to the surface that surprised all of us.
Without a doubt, just like the cloud version, the candlestick version even works better when applying trendlines, pivots, channels, divergences and SR Flips, etc. As we were studying behaviors of the RSI candlestick indicator, a determinant and significant signal was detected that can be usefully referred to traders and this core element is why this update extremely so innovative. We spotted that the emergence of consecutive tails could be a valuable signal that could be weighted. Especially when the tails appeared in sequence in overbought and oversold zone, a strong preference of trend reversal was observed. It was only matter of time to search for the proper parameters and values that fits the market!
And here we are, presenting our newest indicator, “TTT_Crack_RSI_2.1.0” Just like the previous version, it catches regular and hidden divergences automatically and furthermore, we made it to detect appearance of sequential candle wicks in overbought/sold zone (70 and 30 as default) signaling some possibility of trend reversal. The default setting for the consecutive wick counting (Wick Count) is 4, meaning if candle wicks are formed (Top tail in the overbought zone and bottom tail in the oversold zone) four times in a row, a triangle will appear signaling potential trend reversal. As traders’ preferences, the settings can be customized. “Wick Length” setting let users to decide the minimum size of the wick that are to be considered as the proper criteria of candlestick wick. If one wishes to only imply candle wick that are longer than certain length, he or she can increase the “Wick Length” value. We recommend 30~40 for this parameter value. Moreover, if one wants the minimum number of consecutive wicks to that are to be counted to be greater or less, he or she can put in the minimum counting number value at “Wick Count”. For example, if more conservative trader wishes to consider minimum number of consecutive wicks as 6, then the logic will signal only if the wicks appear 6 times in a row in overbought/sold zone. Overbought and oversold zone can also be modified in the settings just like the regular RSI indicator.
How to effectively use this indicator to search for a decent entry point? First of all, do not just enter position only because a single signal has been appeared. The most reliable and strong entry sign would be when the trendline/channel breaks below/above at the overbought/sold zone and at the same time, consecutive wicks and divergence signals appear as well. If all of those signals have been observed, aim for the spot when RSI escape the overbought/sold zone. That would be a proper time to enter a position. As we emphasized many times, it is very reckless to make trading decisions only with technical indicator. It might defer a little bit depending on traders’ tendency, but indicators are to be considered as a side tool to identify macro level trends and signals of possible trend reversal. Always remember, traders that rely on TA must look for the confluent zone and thus the more technical factors that overlap price-wise and time-wise, the more reliability can be given.
If you wish to try our work, please comment below or send message to this account.
Thank you very much.
본 지표는 예전 업로딩했던 TTT_Crack_RSI_Ver_2.1.0의 무료 버전입니다.
안녕하세요 트레이더 여러분. 토미 트레이딩 팀의 토미입니다.
최근 저희 개발팀은 캔들차트의 종가만으로 산출되는 기술적 지표들의 한계점을 극복하고자 캔들 고/저가까지 적용을 시켜 ‘요즘 장에 더 맞는’ 지표들을 만들기 위해 많은 노력을 해왔습니다. 저희 시장 분석/시황, 강의자료, 그리고 지표 개발 문서에서 누누이 언급 드렸듯, 근래 많은 트레이더 분들에게 널리 사용되고 있는 대부분의 지표들은 캔들의 종가만 고려하는 경우가 많습니다. 비상식적이고 두 눈으로 보고도 믿기지 않을 가격 모멘텀 및 변동성이 난무하는 요즘 21세기 금융시장에서는 예전처럼 교과서에나 볼 법한 뻔하고 예측 가능한 패턴 및 형국들을 찾아보기 힘들어졌습니다. 이렇게 급변하는 최근 시장 성향 상 기술적 분석에 캔들 꼬리를 배제하고 몸통만 고려하기에는 너무 치명적인 리스크가 뒤따라오기 마련입니다.
이런 궁극적인 목표로 개발에 착수한 저희 팀은 캔들의 OHLC(시, 고, 저, 종가)를 지표에 내포시켜 더 유의미한 신호들을 도출할 수 있다는 이론을 검증하였고 이를 반영해 몇 달 전 "RSI 클라우드"를 트레이딩뷰에 출시한 바 있습니다. 아래의 링크(이미지)에서 시사하는 바와 같이 RSI 역시 주가를 하나의 라인이 아닌 구조로 해석하여 밴드나 클라우드 형태로 표현해보니 실제로 더 높은 실용성과 활용성을 입증할 수 있었습니다. 또한 수많은 실험과 백/포워드 테스팅을 거치면서 사전에 전혀 예상치 못한 방법론 및 기법들을 응용시킬 수 있다는 사실까지 밝혀냈습니다. 일반 캔들 차트처럼 추세선, 평행채널, 피봇, 그리고 전 매물대 등의 작도법을 적용시킬 수 있을뿐더러 캔들의 종가가 아닌 고/저가를 활용해보니 더 효과적인 일반/히든 다이버전스 시그널을 찾아낼 수 있었습니다. 게다가 SR Flip (지지와 저항이 뚫리면 바뀌는 현상) 이론마저 잘 먹히는 현상을 인지한 저희는 개발 방향을 이쪽으로 더 깊고 세밀하게 발전시키는 쪽으로 잡았습니다.
여러 시행착오를 통해 이것저것 될 만한 건 다 시도해보던 와중, 저희는 어느 날 문득 이런 질문을 던지게 됩니다. ‘어차피 이왕 캔들의 OHLC 값을 지표화 시키는 거 차라리 지표마저 동일하게 캔들화시키는 게 낫지 않을까?’ 결과는 매우 충격적이면서도 동시에 저희에게 허탈감을 안겨줬습니다. 곰곰이 생각해보니 클라우드/밴드 형태의 지표는 적용시킨 캔들의 고/저가를 일련의 Smoothing out 프로세싱 작업을 입힌 거고 그럴 바엔 오히려 동일한 캔들 형태로 표현해버리면 더 직관적인 경향성과 규칙성을 파악할 수 있을 거란 저희의 예상은 적중했습니다. 클라우드/밴드 지표 형식의 모든 차별성과 장점은 그대로 유지하고 심지어 더 유의미한 신호들을 포착할 수 있었습니다.
해당 산출물에 추세선, 평행채널, 피봇, 전 매물대, 그리고 SR FLIP과 같은 작도법과 다이버전스 시그널 등을 더 세밀하고 효율적으로 적용시킬 수 있는 건 물론이고, 그 외 저희는 또 한가지 결정적이고 획기적인 시그널을 탐지했습니다. 사실 이 부분이 이번 업데이트의 가장 핵심 요소라고 볼 수 있습니다. 캔들스틱화된 RSI 지표의 경향성 및 규칙성 고찰 과정 중 캔들 꼬리가 연속적으로 출현하는 현상에 심상치 않은 기운을 감지한 저희 팀은 정말 소름이 돋을 정도로 용이한 추세 전환 시그널을 발견했습니다. 바로 과매도 구간에서는 아래꼬리, 과매수 구간에서는 위꼬리가 연달아 나올 경우 상당히 높은 확률로 변곡점이 출현하고 추세가 전환되는 경향성에 가중치를 부여해 이에 최적화된 파라미터 및 설정 값들을 찾아 로직화 시켜봤습니다. 결과는 아주 만족스러웠습니다.
이름하여 저희의 최신 지표인 "TTT_Crack_RSI_2.1.0"를 여러분께 소개 드립니다. 이전 버전인 “RSI Cloud”와 마찬가지로, 종가가 아닌 고/저가의 일반/히든 다이버전스 시그널을 알아서 포착해주고, 더 나아가 과매매 구간(기본 값은 30/70이며 설정 변경 가능)에서 RSI 캔들 꼬리의 연속성을 자동으로 감지해 표시(삼각형)를 해주게 끔 만들었습니다. 과매매 구간에서 연이어 출현하는 캔들 꼬리 카운팅의 최소 값은 4으로 디폴트 값 설정을 해 놨습니다. 더 보수적/공격적으로 접근하고 싶으신 분들은, 즉 최소 카운팅 값을 4이 아닌 다른 값으로 변경하고 싶으신 분들은 설정에 들어가셔서 “Wick Count” 항목에 원하는 값을 기재하시면 됩니다.
캔들 꼬리라는 게 어떻게 보면 상대적이고 주관적인 개념일 수 있습니다. 캔들꼬리가 조금만 나와도 의미 부여를 할 수 있는가 하면 특정 이상 길이 아니면 의미 부여를 하지 않을 수 있습니다. 저희는 유저들에게 최대한 높은 유동성을 제공하고자 본 메커니즘이 정의하는 캔들 꼬리 길이를 변경할 수 있도록 만들어 놨습니다. ‘Wick Length” 설정 값을 통해 해당 로직이 간주하는 최소 캔들꼬리 길이를 정할 수 있습니다. 기본 설정 값은 30으로 되어 있고, 경험상 30~40 정도가 적당하다고 보고 있습니다.
마지막으로 해당 지표로 효과적인 진입 타점을 찾는 법을 간략히 알려드리겠습니다. 우선 절대로 아무 시그널 하나 툭 떴다고 무조건 바로 진입하는 건 절대 삼가해주세요. 가급적이면 과매매 구간에서 추세선/채널 이탈, 연속 캔들 꼬리 신호, 그리고 다이버전스가 동시에 떴을 상황을 예의주시하시면 됩니다. 이렇게 비교적 비슷한 시간에 유의미한 신호들이 포착되었다면 또 바로 진입하지 마시고 조금 더 기다리셨다가 과매매 구간을 벗어나는 타이밍을 노리시면 됩니다. 항상 강조드리지만 기술적 지표 하나만 가지고 트레이딩 의사결정을 하는 건 정말 무모한 행위입니다. 개인의 매매성향 마다 다르겠지만 기술적 지표는 항상 큰 추세와 변곡 출현 가능성을 파악하는데 참고하는 용도로 사용 하셔야지 그렇지 않으면 캔들차트는 아예 꺼버리고 지표만 보고 매매하는 꼴이 됩니다.
ATR TrendTL;DR - An average true range (ATR) based trend
ATR trend uses a (customizable) ATR calculation and highest high & lowest low prices to calculate the actual trend. Basically it determines the trend direction by using highest high & lowest low and calculates (depending on the determined direction) the ATR trend by using a ATR based calculation and comparison method.
The indicator will draw one trendline by default. It is also possible to draw a second trendline which shows a 'negative trend'. This trendline is calculated the same way the primary trendline is calculated but uses a negative (-1 by default) value for the ATR calculation. This trendline can be used to detect early trend changes and/or micro trends.
How to use:
Due to its ATR nature the ATR trend will show trend changes by changing the trendline direction. This means that when the price crosses the trendline it does not automatically mean a trend change. However using the 'negative trend' option ATR trend can show early trend changes and therefore good entry points.
Some notes:
- A (confirmed) trend change is shown by a changing color and/or moving trendline (up/down)
- Unlike other indicators the 'time period' value is not the primary adjustment setting. This value is only used to calculate highest high & lowest low values and has medium impact on trend calculation. The primary adjustment setting is 'ATR weight'
- Every settings has a tooltip with further explanation
- I added additional color coding which uses a different color when the trend attempts to change but the trend change isn't confirmed (yet)
- Default values work fine (at least in my back testing) but the recommendation is to adjust the settings (especially ATR weight) to your trading style
- You can further finetune this indicator by using custom moving average types for the ATR calculation (like linear regression or Hull moving average)
- Both trendlines can be used to determine future support and resistance zones
- ATR trend can be used as a stop loss finder
- Alerts are using buy/sell signals
- You can use fancy color filling ;)
Happy trading!
Daniel
GKD-C Swing Line [Loxx]Giga Kaleidoscope GKD-V Swing Line is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Volatility Ratio
Confirmation 1: GKD-V Swing Line as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-V Swing Line
The swing line indicator is a technical analysis tool used in financial markets to identify the direction of a trend. It is also known as the trendline or zigzag indicator.
The swing line indicator plots a series of lines connecting the highs and lows of price movements over a given time period. Each line represents a swing high or swing low in the price action, depending on whether the trend is bullish or bearish.
In an uptrend, the swing line indicator connects each successive higher low, forming an ascending trendline. In a downtrend, the indicator connects each successive lower high, forming a descending trendline. When the trend changes direction, the indicator will create a new line to reflect the new swing high or low.
Traders use the swing line indicator to identify key levels of support and resistance, as well as potential entry and exit points for trades. A break of the trendline can signal a potential trend reversal, while a bounce off the trendline can indicate that the trend is still intact.
The swing line indicator can be used in conjunction with other technical analysis tools, such as moving averages, to confirm trends and reduce false signals. It is commonly used in forex, stock, and commodity markets, and is available on most charting platforms.
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
BE_CustomFx_LibraryLibrary "BE_CustomFx_Library"
A handful collection of regular functions, Custom Tools & Utility Functions could be used in regular Scripts. hope these functions can be understood by a non programmer like me too.
G_TextValOfNumber(ValueToConvert, RequiredDecimalPlaces, BeginingChar, EndChar) Function to return the String Value of Number with decimal precision with the prefix and suffix characters provided
Parameters:
ValueToConvert : = Number to Convert
RequiredDecimalPlaces : = No of Decimal values Required. supports to a max of 5 decimals else defaults to 2
BeginingChar : = Prefix character which is needed.
EndChar : = Suffix character which is needed.
Returns: Returns Out put with formated value of Given Number for the specified deicimal values with Prefix and suffix string
G_TradableValue(ValueToConvert, NeedCustomization, RequiredDecimalPlaces) Function to return the Tradable Value of Number
Parameters:
ValueToConvert : = Number to Convert
NeedCustomization : = set to 1 if you want to customize the decimal percision values. default is No customization needed, which provides output equalent to round_to_mintick
RequiredDecimalPlaces : = if NeedCustomization is set to 1 mention the decimal percision value required. max supported decimal is 5 else defaults to 2
Returns: Returns Out put with formated value of Given Number
G_TxtSizeForLables(SizeValue) Function to Get size Value for text values used in Lables
Parameters:
SizeValue : = auto, tiny, small, normal, large, huge. specify either of these values or default value Normal will be displayed as output
Returns: Returns Respective Text size
G_Reg_LineType(LineType) Function to Get Line Style Value for text values used in Lines
Parameters:
LineType : = 'solid (─)', 'dotted (┈)', 'dashed (╌)', 'arrow left (←)', 'arrow right (→)', 'arrows both (↔)' or default line style 'dotted (┈)' will be the output
Returns: Returns Respective Line style
G_ShapeTypeForLables(ShapeType) Function to Get Shape Style Value for text values used in plot shapes
Parameters:
ShapeType : = 'XCross', 'Cross', 'Triangle Up', 'Triangle Down', 'Flag', 'Circle','Arrow Up', 'Arrow Down','Lable Up', 'Lable Down' or default shpae style Triangle Up will be the output
Returns: Returns Respective Shape style
G_Indicator_Val(string, float, int, int) Gets Output of the technical analyis indicator which has length Parameter. RSI, ATR, EMA, SMA, HMA, WMA, VWMA, 'CMO', 'MOM', 'ROC','VWAP'
Parameters:
string : IndicatorName to be specified
float : SrcVal for the TA indicator default is close
int : Length for the TA indicator
int : DecimalValue optional to specify if required formatted output with decimal percision
Returns: Value with the given parameters
G_CandleInfo(string, bool, float, bool) function to get Candle Informarion such as both wicksize, top wick size , bottom wick size, full candle size and body size in default points
Parameters:
string : WhatCandleInfo, string input with either of these options "Wick" , "TWick" , "BWick" , "Candle", "Body" , "BearfbVal", "BullfbVal" , "CandleOpen" ,"CandleClose", "CandleHigh" , "CandleLow", "BodyPct"
bool : RepaintingVersion, set to true if required data on the realtime bar else default is set to false
float : FibValueOfCandle, set the fibo value to extract fibvalue of the candle else default is set to 38.2%
bool : AccountforGaps, set to true if required data on considering the gap between previous and current bar else default is set to false
Returns: Returns Respective values for the candles
G_BullBearBarCount(int, int) Counts how many green & red bars have printed recently (ie. pullback count)
Parameters:
int : HowManyCandlesToCheck The lookback period to look back over
int : BullBear The color of the bar to count (1 = Bull, -1 = Bear), Open = close candles are ignored
Returns: The bar count of how many candles have retraced over the given lookback with specific candles
BarToStartYourCalculation(Int) function to get candle co-ordinate in order to use it further for calculating your analysis work . "Heart full Thanks to 3 Pine motivators (LonesomeTheBlue, Myank & Sriki) who helped me cracking this logic"
Parameters:
Int : SelectedCandleNumber (default=450) How many candles you would need to anlysie in your script from the right.
Returns: A boolean - output is returned to say the starting point and continue to diplay true for the future candles
isHammer(float, bool, bool) Checks if the current bar is a hammer candle based on the given parameters
Parameters:
float : fib (default=0.382) The fib to base candle body on
bool : colorMatch (default=false) Does the candle need to be green? (true/false)
bool : NeedRepainting (default=false) Specify True if you need them to calculate on the realtime bars
Returns: A boolean - true if the current bar matches the requirements of a hammer candle
isStar(float, bool, bool) Checks if the current bar is a shooting star candle based on the given parameters
Parameters:
float : fib (default=0.382) The fib to base candle body on
bool : colorMatch (default=false) Does the candle need to be red? (true/false)
bool : NeedRepainting (default=false) Specify True if you need them to calculate on the realtime bars
Returns: A boolean - true if the current bar matches the requirements of a shooting star candle
isDoji(float, float, bool) Checks if the current bar is a doji candle based on the given parameters
Parameters:
float : _wickSize (default=1.5 times) The maximum allowed times can be top wick size compared to the bottom (and vice versa)
float : _bodySize (default= 5 percent to be mentioned as 0.05) The maximum body size as a percentage compared to the entire candle size
bool : NeedRepainting (default=false) Specify true if you need them to calculate on the realtime bars
Returns: A boolean - true if the current bar matches the requirements of a doji candle
isBullishEC(float, float, bool, bool) Checks if the current bar is a bullish engulfing candle
Parameters:
float : _allowance (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
float : _rejectionWickSize (default=disabled) The maximum rejection wick size compared to the body as a percentage
bool : _engulfWick (default=false) Does the engulfing candle require the wick to be engulfed as well?
bool : NeedRepainting (default=false) Specify True if you need them to calculate on the realtime bars
Returns: A boolean - true if the current bar matches the requirements of a bullish engulfing candle
isBearishEC(float, float, bool, bool) Checks if the current bar is a bearish engulfing candle
Parameters:
float : _allowance (default=0) How many POINTS to allow the open to be off by (useful for markets with micro gaps)
float : _rejectionWickSize (default=disabled) The maximum rejection wick size compared to the body as a percentage
bool : _engulfWick (default=false) Does the engulfing candle require the wick to be engulfed as well?
bool : NeedRepainting (default=false) Specify True if you need them to calculate on the realtime bars
Returns: A boolean - true if the current bar matches the requirements of a bearish engulfing candle
Plot_TrendLineAtDegree(float, float, int, string, bool) helps you to plot the Trendlines based on the specified angle at the defined price to bar ratio
Parameters:
float : Degree (default=14) angle at which Trendline to be plot
float : price2bar_ratio (default=1e-10) The maximum rejection wick size compared to the body as a percentage
int : Bars2Plot (default=6) Does the engulfing candle require the wick to be engulfed as well?
string : LineStyle = 'solid (─)', 'dotted (┈)', 'dashed (╌)', 'arrow left (←)', 'arrow right (→)', 'arrows both (↔)' or default line style 'dotted (┈)' will be the output
bool : PlotOnOpen_Close (default=false) Specify True if you need them to calculate on the Open\Close Values
Returns: plot the Trendlines based on the specified angle at the defined price to bar ratio
TTT_Crack_RSI_Ver_2.1.0Hello dear traders from all over the world!
It has been a while since our team started concentrating on the technical indicators that apply sources not only on the closed price but also on the high/low prices of the candlestick to overcome the limitations of existing indicators. As mentioned repeatedly before, most of widely adapted indicators in technical chart these days are generated only with the closed prices, not taking in consideration of the wicks or tails of the candlesticks. This crucially leads to a rapid decrease in the reliability especially in current financial market, where ignoring other portions within a candlestick structure and putting weights just on candle body often causes fatal trading outcome. Since phenomenons such as wide price fluctuation and non-ideal price momentum occur more frequently compared to the old days when TA used to perfectly work just as the images in a textbook, sourcing OHLC (Open, High, Low, Closed) prices from a candle structure is becoming more essential and practical.
Such revolutionary perceptions and insights could be easily acquired: by just adding high/low prices of the candlesticks when computing technical indicators, many more meaningful signals were observed. One of the popular indicators we have recently attempted to reflect this very idea was RSI (Relative Strength Index) that was published by the name of “RSI Cloud” months ago. As shown below, this groundbreaking index was to be comprehended as a band or a cloud rather than a single line. In fact, many unexpected methodologies, techniques, and insights were discovered through countless applications as our team went through series of experiments and back/forward tests. The results were quite shocking: Little did we know that drawing trendlines, parallel channels, and previous highs/lows etc. just like we do on the regular candlestick chart would also work decisively. Not only divergences were efficiently captured, but ‘SR Flip’ techniques also functioned as well.
Anyway, validation and verification process has been successful, ensuring that taking all of the candlestick into an account within the indicators provides much more meaningful signals than the indicators with ‘closed source’, the default setting. During thousands of our trials, we questioned to ourselves: If we are going to transform candlestick structure into an equation utilizing all of the prices, why don’t we just express the index with the same format, as another candlestick? The initial intention of the clouds or bands were to adapt the tails of the candle and to smooth them out. And this radical idea changed the whole game. By applying this candlestick format insights, even more significant signals were brought up on to the surface that surprised all of us.
Without a doubt, just like the cloud version, the candlestick version even works better when applying trendlines, pivots, channels, divergences and SR Flips, etc. As we were studying behaviors of the RSI candlestick indicator, a determinant and significant signal was detected that can be usefully referred to traders and this core element is why this update extremely so innovative. We spotted that the emergence of consecutive tails could be a valuable signal that could be weighted. Especially when the tails appeared in sequence in overbought and oversold zone, a strong preference of trend reversal was observed. It was only matter of time to search for the proper parameters and values that fits the market!
And here we are, presenting our newest indicator, “TTT_Crack_RSI_2.1.0” Just like the previous version, it catches regular and hidden divergences automatically and furthermore, we made it to detect appearance of sequential candle wicks in overbought/sold zone (70 and 30 as default) signaling some possibility of trend reversal. The default setting for the consecutive wick counting (Wick Count) is 4, meaning if candle wicks are formed (Top tail in the overbought zone and bottom tail in the oversold zone) four times in a row, a triangle will appear signaling potential trend reversal. As traders’ preferences, the settings can be customized. “Wick Length” setting let users to decide the minimum size of the wick that are to be considered as the proper criteria of candlestick wick. If one wishes to only imply candle wick that are longer than certain length, he or she can increase the “Wick Length” value. We recommend 30~40 for this parameter value. Moreover, if one wants the minimum number of consecutive wicks to that are to be counted to be greater or less, he or she can put in the minimum counting number value at “Wick Count”. For example, if more conservative trader wishes to consider minimum number of consecutive wicks as 6, then the logic will signal only if the wicks appear 6 times in a row in overbought/sold zone. Overbought and oversold zone can also be modified in the settings just like the regular RSI indicator.
How to effectively use this indicator to search for a decent entry point? First of all, do not just enter position only because a single signal has been appeared. The most reliable and strong entry sign would be when the trendline/channel breaks below/above at the overbought/sold zone and at the same time, consecutive wicks and divergence signals appear as well. If all of those signals have been observed, aim for the spot when RSI escape the overbought/sold zone. That would be a proper time to enter a position. As we emphasized many times, it is very reckless to make trading decisions only with technical indicator. It might defer a little bit depending on traders’ tendency, but indicators are to be considered as a side tool to identify macro level trends and signals of possible trend reversal. Always remember, traders that rely on TA must look for the confluent zone and thus the more technical factors that overlap price-wise and time-wise, the more reliability can be given.
If you wish to try our work, please comment below or send message to this account.
Thank you very much.
안녕하세요 트레이더 여러분. 토미 트레이딩 팀의 토미입니다.
최근 저희 개발팀은 캔들차트의 종가만으로 산출되는 기술적 지표들의 한계점을 극복하고자 캔들 고/저가까지 적용을 시켜 ‘요즘 장에 더 맞는’ 지표들을 만들기 위해 많은 노력을 해왔습니다. 저희 시장 분석/시황, 강의자료, 그리고 지표 개발 문서에서 누누이 언급 드렸듯, 근래 많은 트레이더 분들에게 널리 사용되고 있는 대부분의 지표들은 캔들의 종가만 고려하는 경우가 많습니다. 비상식적이고 두 눈으로 보고도 믿기지 않을 가격 모멘텀 및 변동성이 난무하는 요즘 21세기 금융시장에서는 예전처럼 교과서에나 볼 법한 뻔하고 예측 가능한 패턴 및 형국들을 찾아보기 힘들어졌습니다. 이렇게 급변하는 최근 시장 성향 상 기술적 분석에 캔들 꼬리를 배제하고 몸통만 고려하기에는 너무 치명적인 리스크가 뒤따라오기 마련입니다.
이런 궁극적인 목표로 개발에 착수한 저희 팀은 캔들의 OHLC(시, 고, 저, 종가)를 지표에 내포시켜 더 유의미한 신호들을 도출할 수 있다는 이론을 검증하였고 이를 반영해 몇 달 전 "RSI 클라우드"를 트레이딩뷰에 출시한 바 있습니다. 아래의 링크(이미지)에서 시사하는 바와 같이 RSI 역시 주가를 하나의 라인이 아닌 구조로 해석하여 밴드나 클라우드 형태로 표현해보니 실제로 더 높은 실용성과 활용성을 입증할 수 있었습니다. 또한 수많은 실험과 백/포워드 테스팅을 거치면서 사전에 전혀 예상치 못한 방법론 및 기법들을 응용시킬 수 있다는 사실까지 밝혀냈습니다. 일반 캔들 차트처럼 추세선, 평행채널, 피봇, 그리고 전 매물대 등의 작도법을 적용시킬 수 있을뿐더러 캔들의 종가가 아닌 고/저가를 활용해보니 더 효과적인 일반/히든 다이버전스 시그널을 찾아낼 수 있었습니다. 게다가 SR Flip (지지와 저항이 뚫리면 바뀌는 현상) 이론마저 잘 먹히는 현상을 인지한 저희는 개발 방향을 이쪽으로 더 깊고 세밀하게 발전시키는 쪽으로 잡았습니다.
여러 시행착오를 통해 이것저것 될 만한 건 다 시도해보던 와중, 저희는 어느 날 문득 이런 질문을 던지게 됩니다. ‘어차피 이왕 캔들의 OHLC 값을 지표화 시키는 거 차라리 지표마저 동일하게 캔들화시키는 게 낫지 않을까?’ 결과는 매우 충격적이면서도 동시에 저희에게 허탈감을 안겨줬습니다. 곰곰이 생각해보니 클라우드/밴드 형태의 지표는 적용시킨 캔들의 고/저가를 일련의 Smoothing out 프로세싱 작업을 입힌 거고 그럴 바엔 오히려 동일한 캔들 형태로 표현해버리면 더 직관적인 경향성과 규칙성을 파악할 수 있을 거란 저희의 예상은 적중했습니다. 클라우드/밴드 지표 형식의 모든 차별성과 장점은 그대로 유지하고 심지어 더 유의미한 신호들을 포착할 수 있었습니다.
해당 산출물에 추세선, 평행채널, 피봇, 전 매물대, 그리고 SR FLIP과 같은 작도법과 다이버전스 시그널 등을 더 세밀하고 효율적으로 적용시킬 수 있는 건 물론이고, 그 외 저희는 또 한가지 결정적이고 획기적인 시그널을 탐지했습니다. 사실 이 부분이 이번 업데이트의 가장 핵심 요소라고 볼 수 있습니다. 캔들스틱화된 RSI 지표의 경향성 및 규칙성 고찰 과정 중 캔들 꼬리가 연속적으로 출현하는 현상에 심상치 않은 기운을 감지한 저희 팀은 정말 소름이 돋을 정도로 용이한 추세 전환 시그널을 발견했습니다. 바로 과매도 구간에서는 아래꼬리, 과매수 구간에서는 위꼬리가 연달아 나올 경우 상당히 높은 확률로 변곡점이 출현하고 추세가 전환되는 경향성에 가중치를 부여해 이에 최적화된 파라미터 및 설정 값들을 찾아 로직화 시켜봤습니다. 결과는 아주 만족스러웠습니다.
이름하여 저희의 최신 지표인 "TTT_Crack_RSI_2.1.0"를 여러분께 소개 드립니다. 이전 버전인 “RSI Cloud”와 마찬가지로, 종가가 아닌 고/저가의 일반/히든 다이버전스 시그널을 알아서 포착해주고, 더 나아가 과매매 구간(기본 값은 30/70이며 설정 변경 가능)에서 RSI 캔들 꼬리의 연속성을 자동으로 감지해 표시(삼각형)를 해주게 끔 만들었습니다. 과매매 구간에서 연이어 출현하는 캔들 꼬리 카운팅의 최소 값은 4으로 디폴트 값 설정을 해 놨습니다. 더 보수적/공격적으로 접근하고 싶으신 분들은, 즉 최소 카운팅 값을 4이 아닌 다른 값으로 변경하고 싶으신 분들은 설정에 들어가셔서 “Wick Count” 항목에 원하는 값을 기재하시면 됩니다.
캔들 꼬리라는 게 어떻게 보면 상대적이고 주관적인 개념일 수 있습니다. 캔들꼬리가 조금만 나와도 의미 부여를 할 수 있는가 하면 특정 이상 길이 아니면 의미 부여를 하지 않을 수 있습니다. 저희는 유저들에게 최대한 높은 유동성을 제공하고자 본 메커니즘이 정의하는 캔들 꼬리 길이를 변경할 수 있도록 만들어 놨습니다. ‘Wick Length” 설정 값을 통해 해당 로직이 간주하는 최소 캔들꼬리 길이를 정할 수 있습니다. 기본 설정 값은 30으로 되어 있고, 경험상 30~40 정도가 적당하다고 보고 있습니다.
마지막으로 해당 지표로 효과적인 진입 타점을 찾는 법을 간략히 알려드리겠습니다. 우선 절대로 아무 시그널 하나 툭 떴다고 무조건 바로 진입하는 건 절대 삼가해주세요. 가급적이면 과매매 구간에서 추세선/채널 이탈, 연속 캔들 꼬리 신호, 그리고 다이버전스가 동시에 떴을 상황을 예의주시하시면 됩니다. 이렇게 비교적 비슷한 시간에 유의미한 신호들이 포착되었다면 또 바로 진입하지 마시고 조금 더 기다리셨다가 과매매 구간을 벗어나는 타이밍을 노리시면 됩니다. 항상 강조드리지만 기술적 지표 하나만 가지고 트레이딩 의사결정을 하는 건 정말 무모한 행위입니다. 개인의 매매성향 마다 다르겠지만 기술적 지표는 항상 큰 추세와 변곡 출현 가능성을 파악하는데 참고하는 용도로 사용 하셔야지 그렇지 않으면 캔들차트는 아예 꺼버리고 지표만 보고 매매하는 꼴이 됩니다.
해당 지표를 사용하고 싶으신 분들은 아래에 댓글 혹은 본 계정으로 메시지(DM) 보내주시면 감사하겠습니다.
감사합니다. 여러분들의 구독, 좋아요, 댓글은 저희에게 정말 큰 힘이 됩니다^^
Hullk Autobot
HULLK AUTOBOT
• Long entry positions
• Profit targets
• Stop loss targets
Description
The Fast Signal Line is an extremely fast and smooth moving average indicator, designed to eliminate
the lag typically associated with traditional moving average indicators.
When the price is trending upward the Fast Signal Line is colored light grey then turns orange when
price is trending downward.
How to Trade
It is good practice to assess multiple timeframes to ensure you are mindful of the larger picture. The
15 minute and 4-hour charts are worthy of note.
In addition to displaying the current macro trend, the Fast Signal Line can also be used for judging
entries and exits from trades.
Aggressive traders may choose to trade based on the first touch of the Fast Signal Line whereas
conservative traders may wait for the signal line to be broken and established as a line of support or
resistance before taking action.
Indicator Configuration
The Fast Signal Line’s display and colors can be changed by modifying the ‘Fast Signal’ options in
the indicator’s style settings;
Volume Line
Description
The Volume Line uses short-term historic volume data to determine the balance between demand
and supply.
When volume is supporting price the Volume Line is colored yellow then turns red when the volume is
rejecting the price.
How to Trade
While the Volume Line can indicate support and resistance levels, it is best used to confirm bias
when using the Fast Trend Line indicator to enter or exit trades and can also be used by traders for
stop-loss or take profit entries.
Indicator Configuration
The Volume Line’s display and colors can be changed by modifying the ‘Volume’ options in the
indicator’s style settings;
Trend Line
Description
The Trend Line is a Weighted Moving Average indicator based on a fixed period and is used to
identify the current trend of the market.
When supporting the price, the Trend Line is colored green then turns red when rejecting the price.
How to Trade
Timeframes of 4H and above are best used to determine the current trends, while shorter timeframes
can be used for entering and exiting trades when the trendline is turning in the relevant direction.
Indicator Configuration
The Trend Line’s display and colors can be changed by modifying the ‘Volume’ options in the
indicator’s style settings;
Whales Volume Line
Description
The Whales Volume Line uses long-term historic volume data to determine the balance between
demand and supply dictated by large/institutional traders in the market.
When volume is supporting price the Volume Line is colored yellow then turns red when the volume is
rejecting the price.
How to Trade
While the Whale Volume Line can indicate support and resistance levels, it is best used to confirm
bias when using the Fast Trend Line indicator to enter or exit trades and can also be used by traders
for stop loss or take profit entries.
Indicator Configuration
The Whales Volume Line’s display and colors can be changed by modifying the ‘Whales Volume’
options in the indicator’s style settings;
Trendline Direction Line
Description
The Direction Line is a Weighted Moving Average indicator based on a longer period than the Trend
Line and is used to identify the current direction of the market.
The Direction Line indicator is colored purple when the market direction is up trending and red when
downtrend.
How to Trade
Timeframes of 4H and above are best used to determine current trend, while shorter timeframes
can be used for entering and exiting trades when the trendline is turning in the relevant direction.
Indicator Configuration
The Trendline Direction’s display and colors can be changed by modifying the ‘Trendline Direction’
options in the indicator’s style settings;
Channel Line
Description
The Channel Line is a Least Squares Moving Average indicator based on a fixed period and is used as
a crossover signal to identify bullish or bearish trends ahead of traditional simple or exponential
moving averages.
The Channel Line indicator is colored cyan when the market direction is up trending and red when
downtrend.
How to Trade
When the Channel Line changes to an uptrend along with a recovery in price, traders can use this as a
signal to enter a long position. If the signal changes to a downtrend along with a fall in price, traders
can use this to enter a short position.
Indicator Configuration
The Channel Line’s display and colors can be changed by modifying the ‘Channel’ options in the
indicator’s style settings;
Dip & Pop Signals
Description
Dip and Pop signals occur when the price is likely to make a counter-trend movement before continuing
its direction.
In a bullish trend, a Dip signal suggests that price will move down to test support before continuing,
whereas a Pop signal suggests that price will move up. In a bearish trend, a Pop signal suggests that
price will move up to test resistance before continuing, whereas a Dip signal would suggest price is
likely to continue the trend.
How to Trade
Dip and Pop signals should be used as notification for preparation rather than a call to action as the price
can move unpredictably during volatility.
Indicator Configuration
The Dip & Pop’s display and colors can be changed by modifying the ‘PoP’ & ‘DIP’ options in the
indicator’s style settings;
Entry & Exit Signals
Description
Entry and Exit Signals are indications of when to open and close trades but should be used in
conjunction with other indicators to interpret their meaning.
How to Trade
While Entry and Exit signals can be interpreted as simple long and short entries, their meaning does
change based on trend circumstance. An Entry signal is typically printed price is starting to see a
positive reaction after a drop.
When the Fast Signal, Trend, and Trend Direction lines are indicating an upward trend an Entry signal
signifies a good place to enter a long or exit a short position. However, if the lines are not suggesting
an upward trend then a long signal indicates that any long order should be exited as any new long
orders in this scenario are risky as you would be opening a position at resistance.
Likewise, when indicator lines are indicating a downward trend and an Exit signal is received this
signifies a good place to enter a short or exit a long position. However, if the signal is against the
trendlines then this is a riskier short into support.
Indicator Configuration
The Entry & Exit’s display and colors can be changed by modifying the ‘Entry’ & ‘Exit’ options in the
indicator’s style settings;
If you have any questions or are looking for access please send me a private message.
Thx for your time and support
ABC Trading ConceptOverview
ABC Trading Concept is a wave- and trend-based market structure indicator that identifies shifts in price behavior by analyzing impulse and correction patterns. It introduces a unique calculation method—Price-MAD-ATR Bands—to detect wave formation, trend reversals, and potential trade zones with dynamic adaptability to volatility and trend strength.
🔧 Core Logic and Calculations
1. Price-MAD-ATR Bands
At the heart of the script is a proprietary channel system based on:
MAD (MA Difference): Difference between fast and slow moving averages.
ATR (Average True Range): Measures current market volatility.
The bands are plotted as:
Upper Band = Price + MAD × ATR
Lower Band = Price − MAD × ATR
A breakout beyond these bands signals the formation of a new wave (up or down).
2. Wave Formation (A and B Waves)
Standard Method: A new wave forms when price breaks through a Price-MAD-ATR Band.
Extreme Method: A wave also forms when price breaks the passive extremum of an existing wave.
Wave A may be generated by a correction breaking the Reversal Point.
Wave B can be configured to form in three modes, including breakouts of internal or boosted counter-corrections.
3. Trend Structure
A trend is built from waves and includes:
Direction, active/passive extremums
Impulses and Corrections (each tracked independently)
Reversal Point: Defined by a boosted correction breakout
G-Point: Set at the active extremum of Wave A
Vic Line: A trendline derived from previous correction extremums (optional)
When price breaks above the G-point, a new trend may be initiated.
4. Correction Boost Logic
A correction becomes boosted when price exceeds a configurable multiple of the correction’s range. Boosted corrections define key zones and enable the creation of Reversal Points and Wave A setups.
5. Vic Sperandeo Line
Optionally used to enhance trend structure confirmation. Drawn between extremums of previous corrections and may act as a secondary condition for forming Wave A.
6. SL/TP Level Calculation
At the start of a new trend, SL and TP levels are automatically plotted based on:
The extremums of Wave A or Wave B (selectable)
Configurable ratios (e.g., 1.382, 2.0, 2.618 for TP levels)
📊 Visual Elements on the Chart
Bands: Price-MAD-ATR Bands as adaptive upper/lower thresholds
Waves: Yellow zigzag lines
Trends: Blue (or purple for hard-type) trendlines with directional arrow
Reversal Point: Dashed horizontal line (starts from key correction breakout)
Correction Zone: Shaded rectangle from boosted correction range
Vic Line: Dashed support/resistance trendline
TP/SL Levels: Dotted horizontal levels, plotted at trend origin
⚙️ Inputs and Customization
You can adjust:
ATR and MA parameters
Band width multiplier
Boost strength threshold for corrections
SL/TP levels and logic (by Wave A or B)
Vic Line usage and visual styles for each element
Over 40 configurable settings are available to adapt the indicator to your strategy.
🧠 How to Use
Look for a new trend start when G-point is broken.
Use Wave A/B structure and Reversal Point for setup planning.
Correction Zones help identify re-entry areas or stop placement.
Follow TP/SL levels to manage exits with structural targets.
The Vic Line can act as dynamic support/resistance in context.
The indicator provides analytical insights—it does not generate automatic signals.
💡 What Makes It Unique
Unlike typical wave or Zigzag indicators, ABC Trading Concept introduces a volatility-adjusted wave logic using Price-MAD-ATR Bands. This method combines trend momentum (MA differential) with market volatility (ATR), offering a more flexible and noise-resistant structure recognition system. The integration of Wave A/B logic, dynamic reversal zones, and Vic Line validation makes it a comprehensive tool for structural traders.
⚠️ Disclaimer
This tool is for technical analysis and educational purposes. It does not guarantee profit or forecast market direction. Trading involves risk—use this script as part of a larger strategy with proper risk management.
CPR-Based Fib S/R with Circles by Arthavidhi📌 **CPR-Based Fibonacci S/R with Circles – Description**
This indicator combines the power of **CPR (Central Pivot Range)** and **Fibonacci ratios** to plot highly probable intraday and swing Support/Resistance levels derived from the **daily price structure**.
### 🧠 **How It Works**
* It uses the **Daily High, Low, and Close** to calculate the **Pivot Point** (P) as:
`P = (High + Low + Close) / 3`
* Then it calculates the **daily range**:
`Range = High - Low`
* Using this pivot and range, it derives both **Fibonacci-based Support and Resistance levels**:
* **Support levels** at: 0.382, 0.5, 0.618, 1.0, 1.272, 1.618 below pivot
* **Resistance levels** at: 0.382, 0.5, 0.618, 1.0, 1.272, 1.618 above pivot
These are **plotted as small colored circles** on your chart, with **labels on the left** for easy identification of each Fib level (e.g., "0.382", "1.618").
---
### 📈 **How to Use It**
🔹 **Intraday or Swing Traders**:
* Use these levels to **anticipate reversals**, **breakouts**, or **targets**.
* The levels act like a **natural price magnet** — price tends to pause, bounce, or reverse near them.
🔹 **Entry/Exit Zones**:
* Combine with price action (like pin bars, engulfing, or inside bars) or volume near these levels to plan entries.
* **R1.618 and S1.618** are great for extended targets or aggressive reversal setups.
🔹 **CPR Center Line**:
* Acts as a key mean-reversion zone or midline. You can combine this with VWAP or RSI for confirmation.
---
### 🧩 **Best Practices**
* **Higher Timeframe Confluence**: Align this with HTF S/R or trendlines.
* **Use Alerts**: Combine this with price action alerting tools (manually or with separate indicators).
* **Do Not Use Alone**: For best results, combine with a strategy (e.g., Supply/Demand, VWAP bounce, Trendline breaks).
Valid Pullbacks Tradinghub 3This script helps identify valid pullbacks. Based on the marked pullbacks, it can draw both internal and external structure trendlines.
A pullback is marked with a small triangle above or below the candle that created the local high or low.
A new local high is marked with a red triangle above the candle if at least one subsequent candle has a low lower than the low of the candle that created the new local high.
A new local low is marked with a green triangle below the candle if at least one subsequent candle has a high higher than the high of the candle that created the new local low.
Based on the marked local highs and lows, the internal structure trendline is created by simply connecting all highs and lows with a line.
The external structure is drawn in a similar way, but only highs and lows that have broken the previous structure are connected. This helps focus on important pivots and better understand the market structure.
Quantitative Breakout Bands (AIBitcoinTrend)Quantitative Breakout Bands (AIBitcoinTrend) is an advanced indicator designed to adapt to dynamic market conditions by utilizing a Kalman filter for real-time data analysis and trend detection. This innovative tool empowers traders to identify price breakouts, evaluate trends, and refine their trading strategies with precision.
👽 What Are Quantitative Breakout Bands, and Why Are They Unique?
Quantitative Breakout Bands combine advanced filtering techniques (Kalman Filters) with statistical measures such as mean absolute error (MAE) to create adaptive price bands. These bands adjust to market conditions dynamically, providing insights into volatility, trend strength, and breakout opportunities.
What sets this indicator apart is its ability to incorporate both position (price) and velocity (rate of price change) into its calculations, making it highly responsive yet smooth. This dual consideration ensures traders get reliable signals without excessive lag or noise.
👽 The Math Behind the Indicator
👾 Kalman Filter Estimation:
At the core of the indicator is the Kalman Filter, a recursive algorithm used to predict the next state of a system based on past observations. It incorporates two primary elements:
State Prediction: The indicator predicts future price (position) and velocity based on previous values.
Error Covariance Adjustment: The process and measurement noise parameters refine the prediction's accuracy by balancing smoothness and responsiveness.
👾 Breakout Bands Calculation:
The breakout bands are derived from the mean absolute error (MAE) of price deviations relative to the filtered trendline:
float upperBand = kalmanPrice + bandMultiplier * mae
float lowerBand = kalmanPrice - bandMultiplier * mae
The multiplier allows traders to adjust the sensitivity of the bands to market volatility.
👾 Slope-Based Trend Detection:
A weighted slope calculation measures the gradient of the filtered price over a configurable window. This slope determines whether the market is trending bullish, bearish, or neutral.
👾 Trailing Stop Mechanism:
The trailing stop employs the Average True Range (ATR) to calculate dynamic stop levels. This ensures positions are protected during volatile moves while minimizing premature exits.
👽 How It Adapts to Price Movements
Dynamic Noise Calibration: By adjusting process and measurement noise inputs, the indicator balances smoothness (to reduce noise) with responsiveness (to adapt to sharp price changes).
Trend Responsiveness: The Kalman Filter ensures that trend changes are quickly identified, while the slope calculation adds confirmation.
Volatility Sensitivity: The MAE-based bands expand and contract in response to changes in market volatility, making them ideal for breakout detection.
👽 How Traders Can Use the Indicator
👾 Breakout Detection:
Bullish Breakouts: When the price moves above the upper band, it signals a potential upward breakout.
Bearish Breakouts: When the price moves below the lower band, it signals a potential downward breakout.
The trailing stop feature offers a dynamic way to lock in profits or minimize losses during trending moves.
👾 Trend Confirmation:
The color-coded Kalman line and slope provide visual cues:
Bullish Trend: Positive slope, green line.
Bearish Trend: Negative slope, red line.
👽 Why It’s Useful for Traders
Dynamic and Adaptive: The indicator adjusts to changing market conditions, ensuring relevance across timeframes and asset classes.
Noise Reduction: The Kalman Filter smooths price data, eliminating false signals caused by short-term noise.
Comprehensive Insights: By combining breakout detection, trend analysis, and risk management, it offers a holistic trading tool.
👽 Indicator Settings
Process Noise (Position & Velocity): Adjusts filter responsiveness to price changes.
Measurement Noise: Defines expected price noise for smoother trend detection.
Slope Window: Configures the lookback for slope calculation.
Lookback Period for MAE: Defines the sensitivity of the bands to volatility.
Band Multiplier: Controls the band width.
ATR Multiplier: Adjusts the sensitivity of the trailing stop.
Line Width: Customizes the appearance of the trailing stop line.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Valid Pullbacks and Trend by kpt. GonzoThis script helps identify valid pullbacks. Based on the marked pullbacks, it can draw both internal and external structure trendlines.
A pullback is marked with a small triangle above or below the candle that created the local high or low.
A new local high is marked with a red triangle above the candle if at least one subsequent candle has a low lower than the low of the candle that created the new local high.
A new local low is marked with a green triangle below the candle if at least one subsequent candle has a high higher than the high of the candle that created the new local low.
Based on the marked local highs and lows, the internal structure trendline is created by simply connecting all highs and lows with a line.
The external structure is drawn in a similar way, but only highs and lows that have broken the previous structure are connected. This helps focus on important pivots and better understand the market structure.
Trend CCITrend CCI (TCCI) Indicator
Description:
The Trend CCI (TCCI) indicator is a unique combination of the Commodity Channel Index (CCI) and the Average True Range (ATR), designed to identify trends and market reversals with a refined sensitivity to price volatility. The indicator plots the CCI, adjusted by an ATR filter, and color-codes the trendline to signal uptrends and downtrends.
How It Works:
This indicator uses the CCI to measure price momentum and an ATR-based filter to smooth out market noise, making it easier to detect significant shifts in the market trend. Key parameters such as the ATR Period, ATR Multiplier, and CCI Period have been carefully chosen to optimize the indicator's performance:
1. ATR Period (default: 18)
The ATR Period determines the number of periods used to calculate the **Average True Range**, which reflects market volatility. In this case, an **ATR Period of 18** has been selected for several reasons:
Balance between responsiveness and noise reduction : A period of 18 strikes a balance between being responsive to recent price movements and filtering out minor fluctuations. Shorter ATR periods might be too reactive, creating false signals, while longer periods might miss shorter-term trends.
Adaptable to various market conditions : An 18-period ATR is suitable for both intraday and swing trading strategies, making it versatile across different time frames.
Standard industry practice : Many traders use ATR settings between 14 and 20 periods as a convention for detecting reliable volatility levels.
2. ATR Multiplier (default: 1.5)
The ATR Multiplier is applied to the ATR value to define how sensitive the indicator is to volatility. In this case, a multiplier of 1.5 has been chosen:
Avoiding whipsaws in low volatility markets: By setting the multiplier to 1.5, the indicator filters out smaller, less significant price movements, reducing the likelihood of whipsaw signals (i.e., false trend reversals during periods of low volatility).
Optimizing signal accuracy: A moderate multiplier like 1.5 ensures that the indicator only generates signals when the price moves a significant distance from the average range. Higher multipliers (e.g., 2.0) may ignore valid opportunities, while lower multipliers (e.g., 1.0) might create too many signals.
Enhancing trend clarity : The multiplier’s role in widening the range allows the indicator to respond more clearly during periods of strong trends, reducing signal noise and false positives.
3. CCI Period (default: 63)
The CCI Period defines the number of periods used to calculate the Commodity Channel Index. A 63-period CCI is selected based on the following considerations:
Smoothing the momentum calculation: A longer period, such as 63, is used to smooth out the CCI and reduce the effects of short-term price fluctuations. This period captures longer-term momentum, making it ideal for identifying more significant market trends.
-Filtering out short-term noise: While shorter CCI periods (e.g., 14 or 20) may be more reactive, they tend to produce more signals, some of which may be false. A 63-period CCI focuses on stronger and more sustained price movements, providing fewer but higher-quality signals.
Adapted to intermediate trading: A 63-period CCI aligns well with traders looking for medium-term trend-following strategies, striking a balance between long-term trend identification and responsiveness to significant price shifts.
How to Use:
Green Area: When the trendline turns green, it signals that the CCI is positive, reflecting upward momentum. This can be interpreted as a buy signal, indicating the potential for long positions or continuing bullish trades.
Red Area: When the trendline turns red, it signals that the CCI is negative, reflecting downward momentum. This can be interpreted as a sell signal, indicating potential short positions or bearish trades.
ATR Filter: The ATR helps reduce false signals by ignoring minor price movements. Traders can adjust the ATR Multiplier to make the indicator more or less sensitive based on market conditions. A lower multiplier (e.g., 1.2) may increase signal frequency, while a higher multiplier (e.g., 2.0) reduces it.
Originality:
The Trend CCI (TCCI) stands out due to its combination of the CCI and ATR. While many indicators simply plot raw CCI values, this script enhances the CCI’s effectiveness by incorporating an ATR-based volatility filter. This ensures that only significant trends trigger signals, making it a more reliable tool in volatile markets. The choice of the ATR period, multiplier, and CCI period ensures a refined balance between trend detection and noise reduction, distinguishing it as a powerful trend-following indicator.
Additionally, the visual aspect—using color-coded trendlines that dynamically shift between green and red—simplifies the interpretation of market trends, offering traders a clear and immediate understanding of trend direction and momentum strength.
Final Recommendations:
Use in Trending Markets The TCCI is most effective in trending markets, where its signals align with broader market momentum. In sideways or low-volatility markets, consider adjusting the ATR multiplier or using other complementary indicators to confirm the signals.
Risk Management: Always integrate robust risk management practices, such as using stop-loss orders and position sizing, to protect against sudden market reversals or periods of heightened volatility.
Adjust for Volatility: Consider the volatility of the asset being traded. In highly volatile assets, a higher ATR multiplier (e.g., 2.0) may be necessary to filter out noise, while in more stable assets, a lower multiplier (e.g., 1.2) might generate earlier signals.
By using the Trend CCI (TCCI) indicator with a deeper understanding of its key parameters, traders can better identify trends, reduce noise, and improve their overall decision-making in the markets.
Good Profits!
Multi-Asset Cross Timeframe Divergence Ind. (MACDI) // AlgoFyreThe Multi-Asset Cross Timeframe Divergence Indicator (MACDI) identifies divergences in momentum like RSI across multiple assets and timeframes. It visually highlights lagging correlated asset momentum divergences, helping traders spot inefficiencies and potential trade opportunities in the following asset.
🔶 KEY FEATURES
🔸Average Momentum Trendline for Each Timeframe
The Average Momentum Trendline feature calculates the average momentum of multiple assets over specified timeframes. It uses smoothed values to determine the momentum trend for each timeframe on the average aggregated momentum of both assets. This trendline helps traders identify the overall direction of the market momentum, providing a clearer picture of potential price movements.
🔸Real-time Divergence Indication and Alert Table
The Real-time Divergence Indications and Alert Table feature visualizes detected divergences between the momentum values of the two assets across different timeframes. It identifies both bullish and bearish divergences, signaling lagging reversals in the the following asset and potential trading opportunities. When a divergence is detected, the system generates real-time visual indications on the chart and in an overview table for traders to act promptly. The alert table provides a comprehensive overview of all detected divergences, making it easier for traders to monitor and respond to market changes.
🔸Color and Size Based Labels on Price Chart based on Divergence Type
The Color and Size Based Labels feature visually represents divergences directly on the price chart. Bullish and bearish divergences are marked with distinct colors and sizes, making them easily identifiable at a glance. Larger labels indicate higher timeframes and thus generally more significance.
🔶 INSTRUCTION GUIDELINES
🔸Identify Divergence Clusters
The more divergences align, the higher the probability of a potential trend reversal in the asset. When multiple multi-timeframe divergences occur in both lower and higher timeframes within a local cluster, the probability of a reversal increases. This is valid for both for bullish and bearish divergences.
🔸Spot Low Probability Divergences
To further increase the probability, analyze the current state of the average momentum trendline. For a bullish reversal, a relatively low level of the average momentum trendline is preferred, whereas for a bearish reversal, a relatively high level is preferred.
🔶 INDIVIDUAL CONFIGURATION
🔸Leading Asset
This input allows the user to select the leading asset for the divergence analysis.
🔸Following Asset
This input allows the user to select the following asset for the divergence analysis.
🔸Higher Timeframe
This input sets the higher timeframe for the analysis.
🔸Lower Timeframe
This input sets the lower timeframe for the analysis.
🔸Show RSI Divergence
This input enables or disables the display of RSI divergence signals.
🔸RSI Length
This input sets the length of the RSI calculation.
🔸RSI Source
This input sets the source data for the RSI calculation (e.g., close price).
🔸RSI Smoothing Length
This input sets the length of the smoothing applied to the RSI values.
🔸Smoothing Method
This input sets the method used for smoothing the RSI values.
🔶 CONCLUSION
The Multi-Asset Cross Timeframe Divergence Indicator (MACDI) is a powerful tool for identifying momentum divergences across multiple assets and timeframes. Its visual cues and customizable table make it easy to use and interpret, providing valuable insights for trading decisions.
[DarkTrader] Intersection Level & PredictionLinear Regression Function Reference by @RicardoSantos :
The Intersection Level Calculation process identifies critical price levels where significant market reactions are expected. It starts by analyzing historical price action and technical indicators to pinpoint key support and resistance levels.
Price Forecast Min represents the predicted lowest price level that the asset might reach, while Price Forecast Max indicates the anticipated highest price level. These projections are calculated using statistical methods and historical price patterns, allowing traders to anticipate potential support and resistance zones. By providing these forecasts, traders can better manage their risk and set more informed entry and exit points based on projected price movements.
Example Of Prediction (Before & After)
Predicting Future Price Movements :
Once the intersection levels are identified, the indicator uses various predictive models to forecast what price might do next when it approaches these levels. Here’s a breakdown of how it achieves this :
Price Reaction Analysis: The indicator assesses how price has historically reacted to similar intersection levels. For instance, if price has reversed from a certain support level multiple times, the indicator can predict a potential reversal or bounce when price approaches that level again.
Trend Continuation or Reversal: It examines the strength of the current trend by analyzing momentum indicators, volume, and the angle or direction of trendlines. Based on this, it can predict whether price is likely to break through an intersection level, signaling trend continuation, or bounce off it, indicating a potential reversal.
Confluence of Factors: The prediction mechanism becomes more accurate when multiple factors converge at the same intersection level. For example, if a trendline, moving average, and support zone all intersect at the same price point, the indicator predicts a stronger likelihood of significant price movement.
Market Volatility and Momentum: The indicator also considers current market volatility and momentum in its prediction. For example, if price approaches an intersection level with high momentum, it might predict a breakout, whereas low momentum might suggest consolidation or a weaker price reaction.
In this indicator, I utilize Linear Regression to forecast price movements by analyzing historical data trends. Linear Regression involves fitting a straight line to past price data, enabling me to model and project future price levels based on identified trends. This method calculates a trend line that best represents the historical price behavior, providing a foundation for predicting future price points. By extending this trend line, I can estimate where prices might move, incorporating a range to account for potential deviations. This approach helps in identifying both minimum and maximum forecasted prices, offering valuable insights into potential market directions.
Trend Deviation strategy - BTC [IkkeOmar]Intro:
This is an example if anyone needs a push to get started with making strategies in pine script. This is an example on BTC, obviously it isn't a good strategy, and I wouldn't share my own good strategies because of alpha decay.
This strategy integrates several technical indicators to determine market trends and potential trade setups. These indicators include:
Directional Movement Index (DMI)
Bollinger Bands (BB)
Schaff Trend Cycle (STC)
Moving Average Convergence Divergence (MACD)
Momentum Indicator
Aroon Indicator
Supertrend Indicator
Relative Strength Index (RSI)
Exponential Moving Average (EMA)
Volume Weighted Average Price (VWAP)
It's crucial for you guys to understand the strengths and weaknesses of each indicator and identify synergies between them to improve the strategy's effectiveness.
Indicator Settings:
DMI (Directional Movement Index):
Length: This parameter determines the number of bars used in calculating the DMI. A higher length may provide smoother results but might lag behind the actual price action.
Bollinger Bands:
Length: This parameter specifies the number of bars used to calculate the moving average for the Bollinger Bands. A longer length results in a smoother average but might lag behind the price action.
Multiplier: The multiplier determines the width of the Bollinger Bands. It scales the standard deviation of the price data. A higher multiplier leads to wider bands, indicating increased volatility, while a lower multiplier results in narrower bands, suggesting decreased volatility.
Schaff Trend Cycle (STC):
Length: This parameter defines the length of the STC calculation. A longer length may result in smoother but slower-moving signals.
Fast Length: Specifies the length of the fast moving average component in the STC calculation.
Slow Length: Specifies the length of the slow moving average component in the STC calculation.
MACD (Moving Average Convergence Divergence):
Fast Length: Determines the number of bars used to calculate the fast EMA (Exponential Moving Average) in the MACD.
Slow Length: Specifies the number of bars used to calculate the slow EMA in the MACD.
Signal Length: Defines the number of bars used to calculate the signal line, which is typically an EMA of the MACD line.
Momentum Indicator:
Length: This parameter sets the number of bars over which momentum is calculated. A longer length may provide smoother momentum readings but might lag behind significant price changes.
Aroon Indicator:
Length: Specifies the number of bars over which the Aroon indicator calculates its values. A longer length may result in smoother Aroon readings but might lag behind significant market movements.
Supertrend Indicator:
Trendline Length: Determines the length of the period used in the Supertrend calculation. A longer length results in a smoother trendline but might lag behind recent price changes.
Trendline Factor: Specifies the multiplier used in calculating the trendline. It affects the sensitivity of the indicator to price changes.
RSI (Relative Strength Index):
Length: This parameter sets the number of bars over which RSI calculates its values. A longer length may result in smoother RSI readings but might lag behind significant price changes.
EMA (Exponential Moving Average):
Fast EMA: Specifies the number of bars used to calculate the fast EMA. A shorter period results in a more responsive EMA to recent price changes.
Slow EMA: Determines the number of bars used to calculate the slow EMA. A longer period results in a smoother EMA but might lag behind recent price changes.
VWAP (Volume Weighted Average Price):
Default settings are typically used for VWAP calculations, which consider the volume traded at each price level over a specific period. This indicator provides insights into the average price weighted by trading volume.
backtest range and rules:
You can specify the start date for backtesting purposes.
You can can select the desired trade direction: Long, Short, or Both.
Entry and Exit Conditions:
LONG:
DMI Cross Up: The Directional Movement Index (DMI) indicates a bullish trend when the positive directional movement (+DI) crosses above the negative directional movement (-DI).
Bollinger Bands (BB): The price is below the upper Bollinger Band, indicating a potential reversal from the upper band.
Momentum Indicator: Momentum is positive, suggesting increasing buying pressure.
MACD (Moving Average Convergence Divergence): The MACD line is above the signal line, indicating bullish momentum.
Supertrend Indicator: The Supertrend indicator signals an uptrend.
Schaff Trend Cycle (STC): The STC indicates a bullish trend.
Aroon Indicator: The Aroon indicator signals a bullish trend or crossover.
When all these conditions are met simultaneously, the strategy considers it a favorable opportunity to enter a long trade.
SHORT:
DMI Cross Down: The Directional Movement Index (DMI) indicates a bearish trend when the negative directional movement (-DI) crosses above the positive directional movement (+DI).
Bollinger Bands (BB): The price is above the lower Bollinger Band, suggesting a potential reversal from the lower band.
Momentum Indicator: Momentum is negative, indicating increasing selling pressure.
MACD (Moving Average Convergence Divergence): The MACD line is below the signal line, signaling bearish momentum.
Supertrend Indicator: The Supertrend indicator signals a downtrend.
Schaff Trend Cycle (STC): The STC indicates a bearish trend.
Aroon Indicator: The Aroon indicator signals a bearish trend or crossover.
When all these conditions align, the strategy considers it an opportune moment to enter a short trade.
Disclaimer:
THIS ISN'T AN OPTIMAL STRATEGY AT ALL! It was just an old project from when I started learning pine script!
The backtest doesn't promise the same results in the future, always do both in-sample and out-of-sample testing when backtesting a strategy. And make sure you forward test it as well before implementing it!
Furthermore this strategy uses both trend and mean-reversion systems, that is usually a no-go if you want to build robust trend systems .
Don't hesitate to comment if you have any questions or if you have some good notes for a beginner.
Micro Dots with VMA line [Crypto_Chili_]In the chart photo is a quick description of each part of the indicator is.
The Micro Dots were hours of testing different combinations of indicators and settings to find what looked and worked best. This is what I came up with, use it as a rough draft as it could probably be added to or changed around.
One simple way to use the indicator is if price is above VMA with green dots, look to long. If price is below VMA with red dots look to short.
Variable Moving Average - Also known as VMA or Track Line, is an Exponential Moving Average. VMA adjusts its smoothing constant on the basis of Market Volatility. This can help to measure the macro trend.
Micro Trend Dots - A Supertrend with extras filters. Supertrend is a trend-following indicator based on ATR (In this indicator TrueRange instead). The extra filters on top of the Supertrend help add confluence to them to give more confidence in the micro trend.
Credit to @LazyBear for the Variable Moving Average
Credit to @KivancOzbilgic for his Supertrend
Send me a message if you create something with the Micro Dots I'd love it see it!
Thank you friends I hope you enjoy!
No Signal is 100% correct at what it's trying to do. Use caution when trading!
Practice Risk Management.
Broadening Formations [QuantVue]Broadening formations are common chart patterns observed by technical traders. A broadening formation is formed when the volatility of an asset increases, thus expanding the range of its price resulting in higher highs and lower lows.
The Broadening Trendline indicator, works by looking for pivot points where a higher high or lower low is made compared to the previous pivot point. If a top and bottom line are detected a broadening formation is formed.
Indicator includes alerts, custom colors and styles, the ability to see previous trendlines, and notifications when a trendline is crossed.
Don't hesitate to reach out with any questions or concerns.
We hope you enjoy!
Cheers.
Trend linesThis script aims to identify and plot trend lines and pivot points on a price chart, with the aim of facilitating technical analysis for trading.
The script allows users to configure a number of parameters including the period for Pivot Points, the maximum number of pivots, and the maximum number of trend lines.
Pivot points (local highs and lows in the price data) are identified using TradingView's built-in pivot high and pivot low functions. The identified pivot points are then stored in arrays. The script also optionally plots these points on the chart.
The main goal of the script is to find and plot trend lines based on the pivot points. For each pair of pivot points, it computes the slope of the line connecting them. If all the other pivot points are below this line (for downward trends) or above this line (for upward trends), the line is considered a valid trend line.
The script also includes a feature that suggests potential "buy" or "sell" points along the trend lines. When the price touches the trend line, a label indicating a potential trading action (buy or sell) is created on the chart.
