在腳本中搜尋"ichimoku"
Ichimoku Cloud with Josh Olszewicz Crpyto Adjusted Settingslets you adjust your cloud to view higher timeframe cloud on lower timeframe by double or tripling timeframe
Ichimoku CriptomoneyConfigured for criptomonedas in its first version, testing the new configuration based on 10,30,60
Ichimoku PanOptic TM-V5 by BrainZZUpdate of the previous script.
New functions added:
- Highlight of price crossing KS
- Highlight of TS/KS crossing
- Highlight of rising/falling periods of KS
- Critical levels for SSB, KS and TS/
Ichimoku Cloud ALERT v1.1UPDATE!
Now it shows yellow bar when its sell signal and blue bar when its buy.
Ampel Score)The Ampel Score (German for "traffic light score") is a multi-indicator signal system designed to identify high-probability LONG and SHORT entries based on trend strength, momentum, volatility, and breakout patterns.
It evaluates 12+ indicators and assigns scores to determine directional bias. This includes:
✅ EMA Alignment (4/8/13/21/200)
✅ MACD Crossover
✅ Ichimoku Cloud (Span A/B, Tenkan/Kijun Cross)
✅ RSI & Stochastic Momentum
✅ Volume Spike
✅ Breakout Detection (20-bar High/Low)
✅ Bollinger Band Breakouts (3σ)
✅ Volatility Check via ATR
🎯 Signal Logic
LONG signal: Score ≥ 12, higher than SHORT score, plus price & volume confirmation
SHORT signal: Score ≥ 12, higher than LONG score, plus price & volume confirmation
EXIT: When score drops below 10 or trend reverses
Visual signals:
🔼 Green Triangle = Enter LONG
🔽 Red Triangle = Enter SHORT
❌ Red X = Exit Signal
🟢/🔴 Circles = Active trend phase
🔢 Score Labels shown on chart (if enabled)
Use Cases:
This indicator is ideal for swing traders and momentum traders looking for structured signals across multiple confluences. Best used on 15min–1D timeframes with manual trade confirmation.
Disclaimer:
Not financial advice. Always backtest and use risk management. Adjust thresholds based on your strategy and asset volatility.
Bijimoku (japsian For tradingview) -- by: Bijan AjdaryThis Indicator(BIJIMOKU) is an updated version of the japsian Indicator, which has been specially designed for Tradingview.
You can send your feedback and comments to my email address: bj.ajdary@gmail.com
--- Thanks to Chris
fractaltheory BBIMKLS 2.1
In this indicator I would like you to read the exact support and resistance according to fractal reaction of Bollinger bands and Ichimoku cloud we can also see a lagging span in it which can affirm the market trends and crossing MA's giving buy and sell signal which indicates uptrend and downtrend it will be more powerful in future updates.
I am explaining every point in mentioned image so you can easily understand what my indicator does and why i am using these things to make a strategy.
1 & 2 - Red and Green Cloud of Ichimoku:
The cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time. How ever the clouds are displayed in either green or red - to make the reading easier. A green cloud is created when the Leading Span A (green cloud line) is higher than Leading Span B (red cloud line). Naturally, a red cloud results from the opposite situation.
3 - Blue lines - Bollinger Bands®:
When prices continually touch the upper Bollinger Band®, the prices are thought to be overbought; conversely, when they continually touch the lower band, prices are thought to be oversold, triggering a buy signal.
4 - Lagging Span of Ichimoku:
A trend is deemed to be upward when the Legging span appears above the price, and downward when the indicator appears below the price. Many traders watch for the Legging span to cross with prior prices to signal a potential trend change. It is created by plotting closing prices 26 periods behind the last candlestick/bar. It is used to gauge the momentum of an asset and to help identify potential trend changes.
5 - Super Trend tracement:
A super-trend indicator is plotted on either above or below the closing price to signal a buy or sell. The indicator buy and sell signals based on whether or not you should be buying and it signals an entry point or points to buy.
By the very nature of the super trend indicator, it offers firm support and resistance levels for traders to enter and exit trades. Additionally, it also provides signals for setting stop losses.
The way it works is, for example when the buy signal (green) is on, when prices dip towards the indicator, you can enter or go long at this level, which doubles up as support level. Similarly, when the sell signal is on, in red, price points nearing or touching the indicator can act as levels of resistance.
6 - Buy and Sell indication:
[ADOL_]ARVIS 4ENG) This is the fourth version of ARVIS BOT. It's name is ARVIS 4.
- The previous ARVIS 3 logic was created based on RSI. This version is based on ICHIMOKU, VOLUME, OSCILLATOR, MA. Existing ARVIS users can use it without additional rights.
- This is the most optimized version of the signal generation frequency among the ARVIS series. It was created with the goal of an Easy Trading Tool that users can use easily.
principle)
Features of the new core logic:
- Made on the basis of ICHIMOKU. We found the optimal ICHIMOKU value and made variations to improve readability. We find swing signals and optimal candles based on trading volume and MA.
option)
- The indicator plotting range indicates the range in which to display the indicator.
- L, S are indicated above the variation of ICHIMOKU.
- Breakout Help Line (BHL) is the basis for overlapping breakout criteria. If it breaks through the BHL at the same time as the breaking point, it will be a strong signal.
- Double Breakwater indicates support/resistance. It is mainly used as resistance in the form of breakwater.
- The trend judgment criteria and trend length based on ICHIMOKU determine the uptrend and the downtrend. Use the default settings of High/Low/3 and 7. A length range of 7-40 is recommended.
- Displays information of purchase, sale, and total volume.
- Heart Singal ♥️ is a suitable standard for swing. It is determined only by the time frame, and a value of 3 to 15 minutes is recommended.
- You can display overlapping signals by combining long down and up shot + heart signal of swing / heart signal of swing and L and S.
- Volume above the average trading volume determines the power of candle
- Comprehensive MA and oscillator are displayed in the upper right corner.
- The information window about Ichimoku is displayed in the lower right corner.
- Please refer to the in-index guide.
Example of principle of core function)
It judges the rods of fake and real.
FakeLong🤡 (clown), FakeShort🃏 (joker), Reallong🥝 (kiwi), Realshort🍅 (tomato).
Clowns and Jokers are mocking fakes.
Long is a key pointing to 'up', so it is indicated as 'kiwi'. Shorts 'sat' the volume down, so we mark them as 'tomatoes'.
It judges an upshort shot and a downtrend long. The uptrend and long downtrend are the Big Trend, which is the standard for the biggest trend.
The swing signal is displayed as ♥️. Volatility alerts appear with a yellow background and ■ in the form.
In the case of L and S combined with ascending and descending longs and swing signals, the decline is a fall, so it is indicated by a shooting star ☄️ and a rise as a burning flame 🔥
time frame)
Available for all timeframes. It is recommended to set the alert at the 15th minute for the heart signal of the swing.
alarm)
All alerts can be set for signals displayed on the chart.
trading method)
1. Reproduced the chart, abbreviated all criteria with signals. Simply follow the signal.
2. Bot settings: Recommended is the use of Heart Signal ♥️ and Real L,S.
If you use long downtrends and uptrends as your main trading standards, you will trade with signals of uptrends and longshorts. Study more combinations.
Reference)
You are solely responsible for any trading decisions you make.
How to use)
It is set to be available only to invited users. When invited, tap Add Indicator to Favorites at the bottom of the indicator.
If you click the indicator at the top of the chart screen and look at the left tab, there is a Favorites tab. Add an indicator by clicking the indicator name in the Favorites tab.
KOR) ARVIS BOT의 네번째 버전입니다. 이름은 ARVIS 4.
- 이전 ARVIS 3은 RSI를 기반으로 로직이 만들어 졌습니다. 이번 버전은 ICHIMOKU 와 VOLUME, OSCILLATOR, MA를 기반으로 만들어 졌습니다. 기존의 ARVIS 이용자는 추가 권한없이 이용가능합니다.
- ARVIS 시리즈 중 신호발생빈도가 가장 최적화된 버전입니다. 사용자가 쉽게 사용할 수 있는 Easy Trading Tool을 목표로 만들어졌습니다.
원리)
새로운 핵심적인 로직의 기능 :
- ICHIMOKU를 기반으로 만들어졌습니다. 최적의 ICHIMOKU 값을 찾고 변주를 만들어 가독성을 향상시켰습니다. 거래량과 MA를 기반으로 스윙시그널과 최적의 캔들을 찾아냅니다.
옵션)
- 지표 플로팅 범위는 지표를 표시할 범위를 나타냅니다.
- L, S는 ICHIMOKU의 변주 위에 표기 됩니다.
- Breakout Help Line(BHL)은 돌파기준의 중첩 근거가 됩니다. 돌파하는 기준의 시점에서 BHL을 같이 돌파해준다면 강한 신호가 됩니다.
- Double Breakwater는 지지/저항을 나타냅니다. 방파제의 형태로 주로 저항으로 사용합니다.
- ICHIMOKU기반으로 만들어진 추세판단 기준과 추세길이는 오름숏과 내림롱을 결정합니다. 고저종/3 과 7의 기본 세팅을 사용합니다. 길이는 7~40의 범위를 추천합니다.
- 매수,매도,합산 볼륨의 정보를 표시합니다.
- Heart Singal ♥️ 은 스윙에 적합한 기준이 됩니다. 시간프레임으로만 결정하며 3분~15분 값을 추천합니다.
- 내림롱과 오름숏 + 스윙의 Heart Signal / 스윙의 Heart Signal과 L,S 을 결합해서 중첩한 시그널을 표기할 수 있습니다.
- 거래량 평균이상의 Volume을 캔들의 힘을 가려냅니다.
- 종합 MA와 오실레이터가 우측상단에 표시됩니다.
- 일목균형에 관한 정보창이 우측하단에 표시됩니다.
- 지표내 가이드를 참고하십시오.
핵심기능의 원리 예시)
fake와 real의 봉을 판단합니다.
FakeLong🤡(광대), FakeShort🃏(조커), Reallong🥝(키위), Realshort🍅(토마토) 로 표기됩니다.
광대와 조커는 조롱을 하는 fake입니다.
롱은 '위'를 향하는 key가 되므로 '키위'로 표시합니다. 숏은 아래로 물량을 '토'해내므로 '토마토'로 표시합니다.
오름숏과 내림롱을 판단합니다. 오름숏과 내림롱은 가장 큰 추세의 기준인 Big Trend 입니다.
스윙시그널은 ♥️ 로 표시됩니다. 변동성 경고는 노란색 배경과 ■ 형태로 출현합니다.
오름숏과 내림롱, 스윙시그널과 결합되는 L,S의 경우 하락은 떨어지는 것이므로 유성 ☄️ 으로, 상승은 타오르는 불꽃 🔥 으로 표시됩니다.
타임프레임)
모든 시간프레임에서 사용가능합니다. 스윙의 Heart Signal은 15분봉에서 얼러트를 설정하는 것이 좋습니다.
알람)
차트에 표기되는 시그널에 모든 얼러트를 설정할 수 있습니다.
매매방법)
1. 차트를 복기하고, 시그널로 모든 기준을 축약했습니다. 단순히 시그널을 따르십시오.
2. 봇의 설정 : 추천은 하트시그널 ♥️ 과 Real L,S의 활용입니다.
내림롱과 오름숏을 주거래 기준으로 삼는다면, 오름숏과 내림롱의 시그널로 거래를 할 것입니다. 더 많은 조합을 연구하십시오.
참고)
귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
사용방법)
초대된 사용자만 사용할 수 있도록 설정이 되어있습니다. 초대를 받을 경우, 지표 하단의 즐겨찾기에 인디케이터 넣기를 누릅니다.
차트화면 상단에 지표를 눌러서 왼쪽탭에 보면 즐겨찾기 탭이 있습니다. 즐겨찾기 탭에서 지표이름을 눌러서 지표를 추가합니다.
TrendMaster ProTrendMaster Equilibrium X
TrendMaster Equilibrium X is a composite of TrendMaster, MokuMaster and KishokuMaster in one indicator. It is designed to be a drop-in replacement of our flagship indicator, TrendMaster, allowing the user to examine all three indicators on a single chart. The purpose of TrendMaster Equilibrium X is to provide a sentiment filter when assessing possible Trendmaster entries. When all three indicators align, we have equilibrium and can feel confident to take the trade. The indicator is optimised for weekly, daily and 4-hour candlesticks and can be used for all trending markets. It is exclusively available to our Pro tier members.
MokuMaster
MokuMaster is based on Ichimoku and its colours are derived from Ichimoku's depiction of trend conditions. When examining charts for directional bias you can simply check the colour of MokuMaster.
Bright Green - Resolutely Bullish
Green - Bullish
Blue - Neutral
Pink - Bearish
Red - Resolutely Bearish
These categories represent the interactions between Price, the Tenkan-sen, the Kijun-sen, the Kumo and the Chikou Span. This can be overwhelming if you are not an accomplished Ichimoku trader. MokuMaster allows you to view these interactions without the difficulty of interpreting what they mean.
KishokuMaster
KishokuMaster is a very simple indicator designed to provide an immediate representation of the ‘mood’ of the market. It provides an optimal balance of lag and smoothing to help traders establish a Bullish or Bearish bias. The underlying logic is based on Alan Hull's weighting techniques. KishokuMaster generally gives an early warning of a trend reversal.
Confluence
When assessing a TrendMaster entry, you can use TrendMaster Equilibrium as a simple checklist as shown in the annotated chart below. By taking entries that satisfy all criteria, you increase your likelihood of a successful outcome.
How to get it?
If you would like to use TrendMaster Equilibrium or any of our other Indicators, please visit my site. Here you can purchase one of our packages which include indicators, market scanner bots and a large Discord community. You will also find educational content and how to guides for our indicators.
Our Story
Founded in 2018 by IchimokuScholar and C00kie, TrendMaster is a team that produces technical analysis indicators with an emphasis on simplicity and noise reduction. We support a large community with educational content, automated market scanners and mentoring in our private chat rooms. We produce technical analysis indicators geared primarily towards the emerging Cryptocurrency asset class. We provide educational material to assist trader development and host a large online trend following community. All of our products are designed to help traders distinguish relevant information from background noise. Our indicators encourage disciplined trade management to maximise the opportunity captured while minimising losses.
IchimokuScholar
IchimokuScholar – In 2017 I retired from a career in higher education to focus on Trading. I like to trade long term trends, focusing primarily on continuation setups. I am dedicated to sharing my knowledge of trading and take great pleasure in simplifying technical analysis for newer traders.
C00kie
I started trading crypto in 2017 and immediately started coding a bunch of tools to improve my quality of life. Some definitely worked out better than others. Like to trade the higher timeframes and drawing horizontal lines on charts. I am also pretty much obligated to like cookies. Indicators. Here you can purchase one of our packages which include indicators, market scanner bots and a large Discord community. You will also find educational content and how to guides for our indicators.
TrendMaster EquilibriumTrendMaster Equilibrium
TrendMaster Equilibrium is a composite of MokuMaster and KishokuMaster in one indicator. It is designed to complement our flagship indicator, TrendMaster, allowing the user to examine all three indicators on a single chart. The purpose of TrendMaster Equilibrium is to provide a sentiment filter when assessing possible Trendmaster entries. When all three indicators align, we have equilibrium and can feel confident to take the trade. The indicator is optimised for weekly, daily and 4-hour candlesticks and can be used for all trending markets.
MokuMaster
MokuMaster is based on Ichimoku and its colours are derived from Ichimoku's depiction of trend conditions. When examining charts for directional bias you can simply check the colour of MokuMaster.
Bright Green - Resolutely Bullish
Green - Bullish
Blue - Neutral
Pink - Bearish
Red - Resolutely Bearish
These categories represent the interactions between Price, the Tenkan-sen, the Kijun-sen, the Kumo and the Chikou Span. This can be overwhelming if you are not an accomplished Ichimoku trader.
MokuMaster allows you to view these interactions without the difficulty of interpreting what they mean.
KishokuMaster
KishokuMaster is a very simple indicator designed to provide an immediate representation of the ‘mood’ of the market. It provides an optimal balance of lag and smoothing to help traders establish a Bullish or Bearish bias. The underlying logic is based on Alan Hull's weighting techniques. KishokuMaster generally gives an early warning of a trend reversal.
Confluence
When assessing a TrendMaster entry, you can use TrendMaster Equilibrium as a simple checklist as shown in the annotated chart below. By taking entries that satisfy all criteria, you increase your likelihood of a successful outcome.
Our Story
Founded in 2018 by IchimokuScholar and C00kie, TrendMaster is a team that produces technical analysis indicators with an emphasis on simplicity and noise reduction. We support a large community with educational content, automated market scanners and mentoring in our private chat rooms. We produce technical analysis indicators geared primarily towards the emerging Cryptocurrency asset class. We provide educational material to assist trader development and host a large online trend following community. All of our products are designed to help traders distinguish relevant information from background noise. Our indicators encourage disciplined trade management to maximise the opportunity captured while minimising losses.
IchimokuScholar
IchimokuScholar – In 2017 I retired from a career in higher education to focus on Trading. I like to trade long term trends, focusing primarily on continuation setups. I am dedicated to sharing my knowledge of trading and take great pleasure in simplifying technical analysis for newer traders.
C00kie
I started trading crypto in 2017 and immediately started coding a bunch of tools to improve my quality of life. Some definitely worked out better than others. Like to trade the higher timeframes and drawing horizontal lines on charts. I am also pretty much obligated to like cookies.
Market Zone Analyzer[BullByte]Understanding the Market Zone Analyzer
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1. Purpose of the Indicator
The Market Zone Analyzer is a Pine Script™ (version 6) indicator designed to streamline market analysis on TradingView. Rather than scanning multiple separate tools, it unifies four core dimensions—trend strength, momentum, price action, and market activity—into a single, consolidated view. By doing so, it helps traders:
• Save time by avoiding manual cross-referencing of disparate signals.
• Reduce decision-making errors that can arise from juggling multiple indicators.
• Gain a clear, reliable read on whether the market is in a bullish, bearish, or sideways phase, so they can more confidently decide to enter, exit, or hold a position.
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2. Why a Trader Should Use It
• Unified View: Combines all essential market dimensions into one easy-to-read score and dashboard, eliminating the need to piece together signals manually.
• Adaptability: Automatically adjusts its internal weighting for trend, momentum, and price action based on current volatility. Whether markets are choppy or calm, the indicator remains relevant.
• Ease of Interpretation: Outputs a simple “BULLISH,” “BEARISH,” or “SIDEWAYS” label, supplemented by an intuitive on-chart dashboard and an oscillator plot that visually highlights market direction.
• Reliability Features: Built-in smoothing of the net score and hysteresis logic (requiring consecutive confirmations before flips) minimize false signals during noisy or range-bound phases.
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3. Why These Specific Indicators?
This script relies on a curated set of well-established technical tools, each chosen for its particular strength in measuring one of the four core dimensions:
1. Trend Strength:
• ADX/DMI (Average Directional Index / Directional Movement Index): Measures how strong a trend is, and whether the +DI line is above the –DI line (bullish) or vice versa (bearish).
• Moving Average Slope (Fast MA vs. Slow MA): Compares a shorter-period SMA to a longer-period SMA; if the fast MA sits above the slow MA, it confirms an uptrend, and vice versa for a downtrend.
• Ichimoku Cloud Differential (Senkou A vs. Senkou B): Provides a forward-looking view of trend direction; Senkou A above Senkou B signals bullishness, and the opposite signals bearishness.
2. Momentum:
• Relative Strength Index (RSI): Identifies overbought (above its dynamically calculated upper bound) or oversold (below its lower bound) conditions; changes in RSI often precede price reversals.
• Stochastic %K: Highlights shifts in short-term momentum by comparing closing price to the recent high/low range; values above its upper band signal bullish momentum, below its lower band signal bearish momentum.
• MACD Histogram: Measures the difference between the MACD line and its signal line; a positive histogram indicates upward momentum, a negative histogram indicates downward momentum.
3. Price Action:
• Highest High / Lowest Low (HH/LL) Range: Over a defined lookback period, this captures breakout or breakdown levels. A closing price near the recent highs (with a positive MA slope) yields a bullish score, and near the lows (with a negative MA slope) yields a bearish score.
• Heikin-Ashi Doji Detection: Uses Heikin-Ashi candles to identify indecision or continuation patterns. A small Heikin-Ashi body (doji) relative to recent volatility is scored as neutral; a larger body in the direction of the MA slope is scored bullish or bearish.
• Candle Range Measurement: Compares each candle’s high-low range against its own dynamic band (average range ± standard deviation). Large candles aligning with the prevailing trend score bullish or bearish accordingly; unusually small candles can indicate exhaustion or consolidation.
4. Market Activity:
• Bollinger Bands Width (BBW): Measures the distance between BB upper and lower bands; wide bands indicate high volatility, narrow bands indicate low volatility.
• Average True Range (ATR): Quantifies average price movement (volatility). A sudden spike in ATR suggests a volatile environment, while a contraction suggests calm.
• Keltner Channels Width (KCW): Similar to BBW but uses ATR around an EMA. Provides a second layer of volatility context, confirming or contrasting BBW readings.
• Volume (with Moving Average): Compares current volume to its moving average ± standard deviation. High volume validates strong moves; low volume signals potential lack of conviction.
By combining these tools, the indicator captures trend direction, momentum strength, price-action nuances, and overall market energy, yielding a more balanced and comprehensive assessment than any single tool alone.
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4. What Makes This Indicator Stand Out
• Multi-Dimensional Analysis: Rather than relying on a lone oscillator or moving average crossover, it simultaneously evaluates trend, momentum, price action, and activity.
• Dynamic Weighting: The relative importance of trend, momentum, and price action adjusts automatically based on real-time volatility (Market Activity State). For example, in highly volatile conditions, trend and momentum signals carry more weight; in calm markets, price action signals are prioritized.
• Stability Mechanisms:
• Smoothing: The net score is passed through a short moving average, filtering out noise, especially on lower timeframes.
• Hysteresis: Both Market Activity State and the final bullish/bearish/sideways zone require two consecutive confirmations before flipping, reducing whipsaw.
• Visual Interpretation: A fully customizable on-chart dashboard displays each sub-indicator’s value, regime, score, and comment, all color-coded. The oscillator plot changes color to reflect the current market zone (green for bullish, red for bearish, gray for sideways) and shows horizontal threshold lines at +2, 0, and –2.
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5. Recommended Timeframes
• Short-Term (5 min, 15 min): Day traders and scalpers can benefit from rapid signals, but should enable smoothing (and possibly disable hysteresis) to reduce false whipsaws.
• Medium-Term (1 h, 4 h): Swing traders find a balance between responsiveness and reliability. Less smoothing is required here, and the default parameters (e.g., ADX length = 14, RSI length = 14) perform well.
• Long-Term (Daily, Weekly): Position traders tracking major trends can disable smoothing for immediate raw readings, since higher-timeframe noise is minimal. Adjust lookback lengths (e.g., increase adxLength, rsiLength) if desired for slower signals.
Tip: If you keep smoothing off, stick to timeframes of 1 h or higher to avoid excessive signal “chatter.”
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6. How Scoring Works
A. Individual Indicator Scores
Each sub-indicator is assigned one of three discrete scores:
• +1 if it indicates a bullish condition (e.g., RSI above its dynamically calculated upper bound).
• 0 if it is neutral (e.g., RSI between upper and lower bounds).
• –1 if it indicates a bearish condition (e.g., RSI below its dynamically calculated lower bound).
Examples of individual score assignments:
• ADX/DMI:
• +1 if ADX ≥ adxThreshold and +DI > –DI (strong bullish trend)
• –1 if ADX ≥ adxThreshold and –DI > +DI (strong bearish trend)
• 0 if ADX < adxThreshold (trend strength below threshold)
• RSI:
• +1 if RSI > RSI_upperBound
• –1 if RSI < RSI_lowerBound
• 0 otherwise
• ATR (as part of Market Activity):
• +1 if ATR > (ATR_MA + stdev(ATR))
• –1 if ATR < (ATR_MA – stdev(ATR))
• 0 otherwise
Each of the four main categories shares this same +1/0/–1 logic across their sub-components.
B. Category Scores
Once each sub-indicator reports +1, 0, or –1, these are summed within their categories as follows:
• Trend Score = (ADX score) + (MA slope score) + (Ichimoku differential score)
• Momentum Score = (RSI score) + (Stochastic %K score) + (MACD histogram score)
• Price Action Score = (Highest-High/Lowest-Low score) + (Heikin-Ashi doji score) + (Candle range score)
• Market Activity Raw Score = (BBW score) + (ATR score) + (KC width score) + (Volume score)
Each category’s summed value can range between –3 and +3 (for Trend, Momentum, and Price Action), and between –4 and +4 for Market Activity raw.
C. Market Activity State and Dynamic Weight Adjustments
Rather than contributing directly to the netScore like the other three categories, Market Activity determines how much weight to assign to Trend, Momentum, and Price Action:
1. Compute Market Activity Raw Score by summing BBW, ATR, KCW, and Volume individual scores (each +1/0/–1).
2. Bucket into High, Medium, or Low Activity:
• High if raw Score ≥ 2 (volatile market).
• Low if raw Score ≤ –2 (calm market).
• Medium otherwise.
3. Apply Hysteresis (if enabled): The state only flips after two consecutive bars register the same high/low/medium label.
4. Set Category Weights:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use the trader’s base weight inputs (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 % by default).
D. Calculating the Net Score
5. Normalize Base Weights (so that the sum of Trend + Momentum + Price Action always equals 100 %).
6. Determine Current Weights based on the Market Activity State (High/Medium/Low).
7. Compute Each Category’s Contribution: Multiply (categoryScore) × (currentWeight).
8. Sum Contributions to get the raw netScore (a floating-point value that can exceed ±3 when scores are strong).
9. Smooth the netScore over two bars (if smoothing is enabled) to reduce noise.
10. Apply Hysteresis to the Final Zone:
• If the smoothed netScore ≥ +2, the bar is classified as “Bullish.”
• If the smoothed netScore ≤ –2, the bar is classified as “Bearish.”
• Otherwise, it is “Sideways.”
• To prevent rapid flips, the script requires two consecutive bars in the new zone before officially changing the displayed zone (if hysteresis is on).
E. Thresholds for Zone Classification
• BULLISH: netScore ≥ +2
• BEARISH: netScore ≤ –2
• SIDEWAYS: –2 < netScore < +2
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7. Role of Volatility (Market Activity State) in Scoring
Volatility acts as a dynamic switch that shifts which category carries the most influence:
1. High Activity (Volatile):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal +1.
• The script sets Trend weight = 50 % and Momentum weight = 35 %. Price Action weight is minimized at 15 %.
• Rationale: In volatile markets, strong trending moves and momentum surges dominate, so those signals are more reliable than nuanced candle patterns.
2. Low Activity (Calm):
• Detected when at least two sub-scores out of BBW, ATR, KCW, and Volume equal –1.
• The script sets Price Action weight = 55 %, Trend = 25 %, and Momentum = 20 %.
• Rationale: In quiet, sideways markets, subtle price-action signals (breakouts, doji patterns, small-range candles) are often the best early indicators of a new move.
3. Medium Activity (Balanced):
• Raw Score between –1 and +1 from the four volatility metrics.
• Uses whatever base weights the trader has specified (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
Because volatility can fluctuate rapidly, the script employs hysteresis on Market Activity State: a new High or Low state must occur on two consecutive bars before weights actually shift. This avoids constant back-and-forth weight changes and provides more stability.
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8. Scoring Example (Hypothetical Scenario)
• Symbol: Bitcoin on a 1-hour chart.
• Market Activity: Raw volatility sub-scores show BBW (+1), ATR (+1), KCW (0), Volume (+1) → Total raw Score = +3 → High Activity.
• Weights Selected: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Signals:
• ADX strong and +DI > –DI → +1
• Fast MA above Slow MA → +1
• Ichimoku Senkou A > Senkou B → +1
→ Trend Score = +3
• Momentum Signals:
• RSI above upper bound → +1
• MACD histogram positive → +1
• Stochastic %K within neutral zone → 0
→ Momentum Score = +2
• Price Action Signals:
• Highest High/Lowest Low check yields 0 (close not near extremes)
• Heikin-Ashi doji reading is neutral → 0
• Candle range slightly above upper bound but trend is strong, so → +1
→ Price Action Score = +1
• Compute Net Score (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 1 × 0.15 = 0.15
• Raw netScore = 1.50 + 0.70 + 0.15 = 2.35
• Since 2.35 ≥ +2 and hysteresis is met, the final zone is “Bullish.”
Although the netScore lands at 2.35 (Bullish), smoothing might bring it slightly below 2.00 on the first bar (e.g., 1.90), in which case the script would wait for a second consecutive reading above +2 before officially classifying the zone as Bullish (if hysteresis is enabled).
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9. Correlation Between Categories
The four categories—Trend Strength, Momentum, Price Action, and Market Activity—often reinforce or offset one another. The script takes advantage of these natural correlations:
• Bullish Alignment: If ADX is strong and pointed upward, fast MA is above slow MA, and Ichimoku is positive, that usually coincides with RSI climbing above its upper bound and the MACD histogram turning positive. In such cases, both Trend and Momentum categories generate +1 or +2. Because the Market Activity State is likely High (given the accompanying volatility), Trend and Momentum weights are at their peak, so the netScore quickly crosses into Bullish territory.
• Sideways/Consolidation: During a low-volatility, sideways phase, ADX may fall below its threshold, MAs may flatten, and RSI might hover in the neutral band. However, subtle price-action signals (like a small breakout candle or a Heikin-Ashi candle with a slight bias) can still produce a +1 in the Price Action category. If Market Activity is Low, Price Action’s weight (55 %) can carry enough influence—even if Trend and Momentum are neutral—to push the netScore out of “Sideways” into a mild bullish or bearish bias.
• Opposing Signals: When Trend is bullish but Momentum turns negative (for example, price continues up but RSI rolls over), the two scores can partially cancel. Market Activity may remain Medium, in which case the netScore lingers near zero (Sideways). The trader can then wait for either a clearer momentum shift or a fresh price-action breakout before committing.
By dynamically recognizing these correlations and adjusting weights, the indicator ensures that:
• When Trend and Momentum align (and volatility supports it), the netScore leaps strongly into Bullish or Bearish.
• When Trend is neutral but Price Action shows an early move in a low-volatility environment, Price Action’s extra weight in the Low Activity State can still produce actionable signals.
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10. Market Activity State & Its Role (Detailed)
The Market Activity State is not a direct category score—it is an overarching context setter for how heavily to trust Trend, Momentum, or Price Action. Here’s how it is derived and applied:
1. Calculate Four Volatility Sub-Scores:
• BBW: Compare the current band width to its own moving average ± standard deviation. If BBW > (BBW_MA + stdev), assign +1 (high volatility); if BBW < (BBW_MA × 0.5), assign –1 (low volatility); else 0.
• ATR: Compare ATR to its moving average ± standard deviation. A spike above the upper threshold is +1; a contraction below the lower threshold is –1; otherwise 0.
• KCW: Same logic as ATR but around the KCW mean.
• Volume: Compare current volume to its volume MA ± standard deviation. Above the upper threshold is +1; below the lower threshold is –1; else 0.
2. Sum Sub-Scores → Raw Market Activity Score: Range between –4 and +4.
3. Assign Market Activity State:
• High Activity: Raw Score ≥ +2 (at least two volatility metrics are strongly spiking).
• Low Activity: Raw Score ≤ –2 (at least two metrics signal unusually low volatility or thin volume).
• Medium Activity: Raw Score is between –1 and +1 inclusive.
4. Hysteresis for Stability:
• If hysteresis is enabled, a new state only takes hold after two consecutive bars confirm the same High, Medium, or Low label.
• This prevents the Market Activity State from bouncing around when volatility is on the fence.
5. Set Category Weights Based on Activity State:
• High Activity: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Low Activity: Trend = 25 %, Momentum = 20 %, Price Action = 55 %.
• Medium Activity: Use trader’s base weights (e.g., Trend = 40 %, Momentum = 30 %, Price Action = 30 %).
6. Impact on netScore: Because category scores (–3 to +3) multiply by these weights, High Activity amplifies the effect of strong Trend and Momentum scores; Low Activity amplifies the effect of Price Action.
7. Market Context Tooltip: The dashboard includes a tooltip summarizing the current state—e.g., “High activity, trend and momentum prioritized,” “Low activity, price action prioritized,” or “Balanced market, all categories considered.”
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11. Category Weights: Base vs. Dynamic
Traders begin by specifying base weights for Trend Strength, Momentum, and Price Action that sum to 100 %. These apply only when volatility is in the Medium band. Once volatility shifts:
• High Volatility Overrides:
• Trend jumps from its base (e.g., 40 %) to 50 %.
• Momentum jumps from its base (e.g., 30 %) to 35 %.
• Price Action is reduced to 15 %.
Example: If base weights were Trend = 40 %, Momentum = 30 %, Price Action = 30 %, then in High Activity they become 50/35/15. A Trend score of +3 now contributes 3 × 0.50 = +1.50 to netScore; a Momentum +2 contributes 2 × 0.35 = +0.70. In total, Trend + Momentum can easily push netScore above the +2 threshold on its own.
• Low Volatility Overrides:
• Price Action leaps from its base (30 %) to 55 %.
• Trend falls to 25 %, Momentum falls to 20 %.
Why? When markets are quiet, subtle candle breakouts, doji patterns, and small-range expansions tend to foreshadow the next swing more effectively than raw trend readings. A Price Action score of +3 in this state contributes 3 × 0.55 = +1.65, which can carry the netScore toward +2—even if Trend and Momentum are neutral or only mildly positive.
Because these weight shifts happen only after two consecutive bars confirm a High or Low state (if hysteresis is on), the indicator avoids constantly flipping its emphasis during borderline volatility phases.
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12. Dominant Category Explained
Within the dashboard, a label such as “Trend Dominant,” “Momentum Dominant,” or “Price Action Dominant” appears when one category’s absolute weighted contribution to netScore is the largest. Concretely:
• Compute each category’s weighted contribution = (raw category score) × (current weight).
• Compare the absolute values of those three contributions.
• The category with the highest absolute value is flagged as Dominant for that bar.
Why It Matters:
• Momentum Dominant: Indicates that the combined force of RSI, Stochastic, and MACD (after weighting) is pushing netScore farther than either Trend or Price Action. In practice, it means that short-term sentiment and speed of change are the primary drivers right now, so traders should watch for continued momentum signals before committing to a trade.
• Trend Dominant: Means ADX, MA slope, and Ichimoku (once weighted) outweigh the other categories. This suggests a strong directional move is in place; trend-following entries or confirming pullbacks are likely to succeed.
• Price Action Dominant: Occurs when breakout/breakdown patterns, Heikin-Ashi candle readings, and range expansions (after weighting) are the most influential. This often happens in calmer markets, where subtle shifts in candle structure can foreshadow bigger moves.
By explicitly calling out which category is carrying the most weight at any moment, the dashboard gives traders immediate insight into why the netScore is tilting toward bullish, bearish, or sideways.
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13. Oscillator Plot: How to Read It
The “Net Score” oscillator sits below the dashboard and visually displays the smoothed netScore as a line graph. Key features:
1. Value Range: In normal conditions it oscillates roughly between –3 and +3, but extreme confluences can push it outside that range.
2. Horizontal Threshold Lines:
• +2 Line (Bullish threshold)
• 0 Line (Neutral midline)
• –2 Line (Bearish threshold)
3. Zone Coloring:
• Green Background (Bullish Zone): When netScore ≥ +2.
• Red Background (Bearish Zone): When netScore ≤ –2.
• Gray Background (Sideways Zone): When –2 < netScore < +2.
4. Dynamic Line Color:
• The plotted netScore line itself is colored green in a Bullish Zone, red in a Bearish Zone, or gray in a Sideways Zone, creating an immediate visual cue.
Interpretation Tips:
• Crossing Above +2: Signals a strong enough combined trend/momentum/price-action reading to classify as Bullish. Many traders wait for a clear crossing plus a confirmation candle before entering a long position.
• Crossing Below –2: Indicates a strong Bearish signal. Traders may consider short or exit strategies.
• Rising Slope, Even Below +2: If netScore climbs steadily from neutral toward +2, it demonstrates building bullish momentum.
• Divergence: If price makes a higher high but the oscillator fails to reach a new high, it can warn of weakening momentum and a potential reversal.
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14. Comments and Their Necessity
Every sub-indicator (ADX, MA slope, Ichimoku, RSI, Stochastic, MACD, HH/LL, Heikin-Ashi, Candle Range, BBW, ATR, KCW, Volume) generates a short comment that appears in the detailed dashboard. Examples:
• “Strong bullish trend” or “Strong bearish trend” for ADX/DMI
• “Fast MA above slow MA” or “Fast MA below slow MA” for MA slope
• “RSI above dynamic threshold” or “RSI below dynamic threshold” for RSI
• “MACD histogram positive” or “MACD histogram negative” for MACD Hist
• “Price near highs” or “Price near lows” for HH/LL checks
• “Bullish Heikin Ashi” or “Bearish Heikin Ashi” for HA Doji scoring
• “Large range, trend confirmed” or “Small range, trend contradicted” for Candle Range
Additionally, the top-row comment for each category is:
• Trend: “Highly Bullish,” “Highly Bearish,” or “Neutral Trend.”
• Momentum: “Strong Momentum,” “Weak Momentum,” or “Neutral Momentum.”
• Price Action: “Bullish Action,” “Bearish Action,” or “Neutral Action.”
• Market Activity: “Volatile Market,” “Calm Market,” or “Stable Market.”
Reasons for These Comments:
• Transparency: Shows exactly how each sub-indicator contributed to its category score.
• Education: Helps traders learn why a category is labeled bullish, bearish, or neutral, building intuition over time.
• Customization: If, for example, the RSI comment says “RSI neutral” despite an impending trend shift, a trader might choose to adjust RSI length or thresholds.
In the detailed dashboard, hovering over each comment cell also reveals a tooltip with additional context (e.g., “Fast MA above slow MA” or “Senkou A above Senkou B”), helping traders understand the precise rule behind that +1, 0, or –1 assignment.
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15. Real-Life Example (Consolidated)
• Instrument & Timeframe: Bitcoin (BTCUSD), 1-hour chart.
• Current Market Activity: BBW and ATR both spike (+1 each), KCW is moderately high (+1), but volume is only neutral (0) → Raw Market Activity Score = +2 → State = High Activity (after two bars, if hysteresis is on).
• Category Weights Applied: Trend = 50 %, Momentum = 35 %, Price Action = 15 %.
• Trend Sub-Scores:
1. ADX = 25 (above threshold 20) with +DI > –DI → +1.
2. Fast MA (20-period) sits above Slow MA (50-period) → +1.
3. Ichimoku: Senkou A > Senkou B → +1.
→ Trend Score = +3.
• Momentum Sub-Scores:
4. RSI = 75 (above its moving average +1 stdev) → +1.
5. MACD histogram = +0.15 → +1.
6. Stochastic %K = 50 (mid-range) → 0.
→ Momentum Score = +2.
• Price Action Sub-Scores:
7. Price is not within 1 % of the 20-period high/low and slope = positive → 0.
8. Heikin-Ashi body is slightly larger than stdev over last 5 bars with haClose > haOpen → +1.
9. Candle range is just above its dynamic upper bound but trend is already captured, so → +1.
→ Price Action Score = +2.
• Calculate netScore (before smoothing):
• Trend contribution = 3 × 0.50 = 1.50
• Momentum contribution = 2 × 0.35 = 0.70
• Price Action contribution = 2 × 0.15 = 0.30
• Raw netScore = 1.50 + 0.70 + 0.30 = 2.50 → Immediately classified as Bullish.
• Oscillator & Dashboard Output:
• The oscillator line crosses above +2 and turns green.
• Dashboard displays:
• Trend Regime “BULLISH,” Trend Score = 3, Comment = “Highly Bullish.”
• Momentum Regime “BULLISH,” Momentum Score = 2, Comment = “Strong Momentum.”
• Price Action Regime “BULLISH,” Price Action Score = 2, Comment = “Bullish Action.”
• Market Activity State “High,” Comment = “Volatile Market.”
• Weights: Trend 50 %, Momentum 35 %, Price Action 15 %.
• Dominant Category: Trend (because 1.50 > 0.70 > 0.30).
• Overall Score: 2.50, posCount = (three +1s in Trend) + (two +1s in Momentum) + (two +1s in Price Action) = 7 bullish signals, negCount = 0.
• Final Zone = “BULLISH.”
• The trader sees that both Trend and Momentum are reinforcing each other under high volatility. They might wait one more candle for confirmation but already have strong evidence to consider a long.
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Disclaimer
This indicator is strictly a technical analysis tool and does not constitute financial advice. All trading involves risk, including potential loss of capital. Past performance is not indicative of future results. Traders should:
• Always backtest the “Market Zone Analyzer ” on their chosen symbols and timeframes before committing real capital.
• Combine this tool with sound risk management, position sizing, and, if possible, fundamental analysis.
• Understand that no indicator is foolproof; always be prepared for unexpected market moves.
Goodluck
-BullByte!
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LeafAlgo ProThis indicator utilizes signals generated from a normalized consensus of one of the four following consensus strategies: Oscillator Consensus, Moving Average Consensus, Democratic Fib Consensus, and an Ichimoku Cloud Consensus. When the values of the individual consensus are normalized, they can be utilized as an oscillator with a range of 0-100. The range of 0-100 can be broken down into zones where if the oscillator breaks through the different thresholds and meets the directional filter requirements, a signal is generated for strong buy, buy, sell, and strong sell with respect to which underlying threshold is breached.
Oscillator:
The Oscillator setting consists of the Average Directional Index (ADX) set as a value instead of +/- and is not used in the scoring to gather consensus. Rather, a value of 25 or above is used to confirm the trend regardless of positive or negative. The Chande Momentum Oscillator (CMO), Detrended Price Oscillator (DPO), Momentum, Rate of Change (ROC), Relative Strength Index (RSI), True Strength Index (TSI), and Volume Oscillator are used in the Oscillator table for a consensus value and given a + or - depending on the condition being met. The conditions and weighting are as follows:
-- CMO > or < 0, given a weight of +/- 2
-- DPO > or < 0, given a weight of +/- 2
-- Momentum > or < 0, given a weight of +/- 2
-- ROC > or < 0, given a weight of +/- 2
-- RSI > or < 50, given a weight of +/- 1
-- TSI Value Line > or < 0, given a weight of +/- 1
-- TSI Signal Line > or < 0, given a weight of +/- 1
-- Volume Osc. > or < 0, given a weight of +/- 2
Moving Average:
For the Moving Average Ribbon/Multi-MA setting the user is able to determine the type of MA for 11 moving averages. The type selection consists of EMA, DEMA, TEMA, SMA, RMA, VWMA, WMA, SMMA, and a Hull MA. The preset values for the 11 moving averages are 5, 7, 10, 14, 21, 26, 50, 75, 100, 150, and 200. The consensus conditions and weighting are as follows:
-- If MA(1 through 10) < or > the price source, given a weight of +/- 1
-- If MA(11) < or > the price source, given a weight of +/- 2
DFMA:
The Democratic Fibonacci Moving Average setting is derived from our indicator of the same name. The source for the DFMA can be chosen by the user, but the SMA lengths are predetermined in Fibonacci intervals from 3 to 233. The DFMA line itself is determined by finding the average value of these 10 Fibonacci MA lengths. The consensus conditions and weighting are as follows:
-- If Fib. MA (3-233) < or > the source, given a weight of +/- 1
-- If DFMA value < or > the source, given a weight of +/- 2.
Ichimoku:
The Ichimoku setting values a handful of conditions using the Tenkan-sen/Conversion Line, Kijun-sen/Base Line, Senkou-span A and B, and the Chikou-span, each of which are given their standard values of 9, 26, 52, and 26, respectively, but can be changed in the user settings if desired. As opposed to the other tables, there are fewer conditions to be met and given values to. All of the conditions are given the same weighting (+/- 1). The conditions are as follows:
-- Kijun-sen < or > the source
-- Tenkan-sen < or > the source
-- Kijun-sen > or < the Chikou-span
-- Tenkan-sen > or < the Kijou-sen
-- Senkou Span A > or < Senkou Span B
Dynamic Bar Coloring
The bar coloring is based on the values of the underlying consensus oscillator.
-- If the consensus value >= 75 coloring= "Lime"
-- If the consensus value is between 55 and 70, coloring= "Green"
-- If the consensus value is between 45 and 55, coloring= "Yellow"
-- If the consensus value is between 30 and 45, coloring= "Orange"
-- If consensus value is <= 30, coloring= "Red"
Regression Channels
The visible channel utilizes a basis line of a quadratic regression line. The quadratic regression is well suited for determining (and predicting) trends. Calculating the regression involves five summation equations that utilize the bar index (x1), the price source (defaulted to ohlc4), the desired length, and the square of x1. Determining the coefficient values requires an additional step that factors in the simple moving average of the source, bar index, and squared bar index. The envelopes that are formed around the regression line are a multiple of that regression line using the high/low range of the price. This envelope can be used to determine points of interest where the price may break through, consolidate at, or reverse from. The channels should be used in conjunction with the signals generated to determine if the signal is valid.
Note past performance is not indicative of future results. This is meant to be used as a tool, and the signals generated by this script should be confirmed with other technical analysis.
[ADOL_]EasyTradingENG) EasyTrading Indicator(ET)
Introduce)
This is the result of long research and trial and error. This indicator is an indicator that marks the signal on the chart.
Short-term, mid-term, and long-term points are analyzed, and signals leading to long-term trends are marked with a background color.
Indicates oversold and overbought, and modified Ichimoku equilibrium. Indicates the criteria for the new TD.
It is the latest version of the signal indicator that complements the limitations of existing indicators.
Noise cancellation is the key to overcoming limitations.
Alerts are included in the signal notation, allowing integration with bots that utilize alerts.
So that even beginners can use it easily, we exclude miscellaneous functions and focus only on whether it is long or short.
principle)
Principle of Moving Average: Various moving averages (SMA, EMA, WMA, HMA, RMA, SWMA, VWMA) can be used. Simply using only moving averages cannot overcome the existing problems.
The problems that arise from existing signal indicators include structural problems in which entry and exit do not appear properly due to lagging and delay of indicators, and frequent overuse of RBIs.
In order to compensate for these limitations, BNF's disparate rate trading method was referred to. I did not use the existing moving average as it is, but I optimized the formula by reflecting my experience, so the existing moving average
It is characterized by the fact that it cannot be implemented according to the signal of the indicator.
The principle of oversold and overbought: implemented using RSI.
Short-term signal: The principle of the TD indicator has been utilized and modified. The setup principle of the TD indicator,
which compares the current candlestick and the four previous candlesticks and indicates numbers from 1 to 9, was modified by applying it to the moving average.
Intermediate Signal: Moving averages and Ichimoku balance have been modified. We applied the breakthrough of clouds (positive and negative) created in Ichimok balance.
Long-term signal: The principle of moving averages was used.
comparison with existing indicators)
Compared to Supertrends:
The top is the ET indicator, and the bottom is the supertrend indicator. Supertrend is set to 14,3, which is commonly used.
Looking at the background color representing the long-term signal of ET while the super trend repeatedly displays buy and sell and sees loss of intervals
ET does not see section loss as no signal appears in the middle after one entry.
The same goes for other sports.
Compared to the moving average (sma):
Even when compared to the golden cross and dead cross conditions that break through the moving average line, the moving average line accumulates losses due to frequent entries and exits in the section that moves sideways.
ET, which compensates for the limitations, continues the trend without noise.
Comparison with Ichimoku:
ET has less noise than entering a trade using Ichimoku's red cloud and green cloud.
Necessity)
In order to work with the bot, the key is to accurately implement the hitting point and remove noise. It is a basic approach to trading even if it is not linked to a bot.
In the setting of most indicators, if you increase the period, you can see the long-term trend, but the entry point is delayed, and if you decrease the period, the entry point becomes frequent and enters a place where you shouldn't enter.
ET catches the entry point and noise removal, and helps you approach the entry point correctly even if you don't trade often.
Catching the two rabbits was the most difficult. how many years...
chart)
Notation of background color:
Long-term signals are displayed in the background color so that trends can be grasped at a glance.
Long term signal:
It is indicated by an arrow on the chart.
Mid term signal:
The decline is indicated by a black gradient on the candle and a red circle above the candle.
The rise is indicated by a white gradient on the candle and a green circle below the candle.
short-term signal:
On the chart, the candlesticks are numbered from 1 to 9.
Oversold/Overbought:
Oversold conditions are indicated by yellow diamonds (◆).
Overbought is indicated by a blue diamond (◆).
Determine the TP on the first oversold or overbought bar. Split profit start.
timeframes and alerts)
It can be applied to all time frames, and the standard time at the center is 1h.
You can adjust the dot while viewing the 15-minute bar and the 1-hour bar together.
multi time frame. It is recommended to observe multiple times at the same time using the split screen.
Note)
This indicator is not a guarantee of absolute returns, and you are solely responsible for any trading decisions you make.
How to use)
It is set to be used by invited users only.
If you receive an invitation, tap Add indicator to favorites at the bottom of the indicator.
If you go to the chart screen and press the indicator at the top, there is a Favorites tab on the left tab.
Add an indicator by clicking on the indicator name in the Favorites tab (or Invite Only).
If a study error occurs when adding an indicator even though permission has been granted
You may be able to fix the problem by turning off all charts and restarting.
KOR) EasyTrading 지표(ET)
소개)
이것은 오랜 연구와 시행착오의 결과물입니다. 해당 지표는 차트에 시그널을 표기해주는 지표입니다.
단기, 중기, 장기 타점을 분석하며, 장기트렌드를 이끄는 시그널은 배경색으로 표기됩니다.
과매도와 과매수를 표시하며, 변형된 일목균형을 표시합니다. 새로운 TD의 기준을 표시합니다.
기존의 지표들이 가지는 한계를 보완한 시그널 지표의 가장 최신 버전입니다.
한계를 극복하는데는 노이즈 제거가 핵심이라고 볼 수 있습니다.
시그널 표기에는 얼러트가 포함되어, 얼러트를 활용하는 봇과 연동이 가능합니다.
초보자도 쉽게 활용할 수 있도록 잡다한 기능은 빼고, 롱이냐 숏이냐에만 집중합니다.
원리)
이동평균선의 원리 : 여러가지 이동평균선(SMA, EMA, WMA, HMA, RMA, SWMA, VWMA) 을 활용할 수 있습니다. 단순히 이동평균선만 활용하는 것으로는 기존의 문제점을 뛰어넘을 수 없습니다.
기존의 시그널 지표에서 발생하는 문제점은, 기본적으로 지표가 가지는 후행성과 지연으로 인해, 진입과 청산의 자리가 제대로 나오지 않는 구조적인 문제, 잦은 타점 남발 등이 있습니다.
이러한 한계를 보완하기 위해서 BNF의 괴리율 매매법을 참고하였습니다. 기존의 이평선을 그대로 쓰는 것이 아니라 저의 경험을 반영해 수식을 최적화하였기 때문에 기존의 이평선으로는
해당 지표의 시그널을 따라 구현할 수 없다는 것이 특징입니다.
과매도, 과매수의 원리 : RSI를 활용하여 구현하였습니다.
단기시그널 : TD 지표의 원리를 활용 및 변형하였습니다. 현재 캔들과 4개이전의 캔들을 비교해 1~9까지 숫자로 표기하는 TD 지표의 setup 원리를 이평선에 적용하여 변형하였습니다.
중기시그널 : 이평선 및 일목균형을 변형하였습니다. 일목균형에서 만들어지는 구름(양운과 음운)의 돌파를 응용하였습니다.
장기시그널 : 이평선의 원리를 활용하였습니다.
기존의 지표들과 비교)
슈퍼트렌드와 비교 :
상단은 ET지표, 하단은 슈퍼트렌드 지표입니다. 슈퍼트렌드는 일반적으로 많이 쓰는 14,3 으로 세팅하였습니다.
슈퍼트렌드가 buy와 sell을 반복적으로 띄우며 구간손실을 보는동안, ET의 장기시그널을 나타내는 배경색을 보면
ET는 한번의 진입후 중간에 시그널이 출현하지 않으면서 구간손실을 보지 않고 있습니다.
다른 종목에서도 마찬가지입니다.
이동평균선(sma)과 비교 :
이동평균선을 돌파하는 골든크로스와 데드크로스 조건과 비교해도 횡보하는 구간에서 이동평균선은 잦은 진입과 청산으로 손실을 누적하지만
한계를 보완한 ET는 노이즈 없이 추세를 이어나갑니다.
일목균형과 비교 :
일목균형의 양운과 음운을 활용하여 타점을 진입하는 것보다 노이즈가 적습니다.
필요성)
봇과 연동하기 위해서는 타점을 정확하게 구현하는 것과 노이즈의 제거가 핵심입니다. 봇과 연동하지 않더라도 매매의 기본적인 접근입니다.
대부분의 지표의 설정에서 기간을 늘리면 장기추세를 볼 수 있으나 진입점이 늦어지고, 기간을 줄이면 진입점이 잦아 들어가지 말아야 할 곳에 들어가게 됩니다.
ET는 진입점과 노이즈 제거 두마리 토끼를 잡아, 자주 매매하지 않더라도 바르게 진입점에 접근할 수 있도록 도와줍니다.
두마리 토끼를 잡는 것이 가장 어려웠습니다. 몇년의 시간..
차트로 설명)
배경색의 표기 :
장기시그널을 배경색으로 표기하여 트렌드를 한눈에 파악할 수 있도록 하였습니다.
장기시그널 :
차트상에서 화살표로 표기됩니다.
중기 시그널 :
하락은 캔들의 검정색 그라데이션과 캔들 위 빨간색 원으로 표시됩니다.
상승은 캔들의 하얀색 그라데이션과 캔들 아래 초록색 원으로 표시됩니다.
단기시그널 :
차트상에서 캔들에 1~9까지 숫자로 표시됩니다.
과매도/과매수 :
과매도는 노란색 다이아몬드(◆)로 표시됩니다.
과매수는 파란색 다이아몬드(◆)로 표시됩니다.
과매도, 과매수가 처음 발생하는 봉에서 TP를 결정합니다. 분할익절 시작.
타임프레임 및 얼러트)
모든 시간프레임에 적용 가능하며, 중심이 되는 기준시간은 1h 입니다.
15분봉과 1시간봉을 같이 보면서 타점을 조절할 수 있습니다.
멀티타임프레임. 화면분할을 활용하여 여러 시간을 동시에 관찰하는 것을 추천합니다.
참고사항)
해당지표는 절대수익을 보장하는 지표가 아니며, 귀하가 내리는 모든 거래 결정은 전적으로 귀하의 책임입니다.
사용방법 )
초대된 사용자만 사용할 수 있도록 설정이 되어있습니다.
초대를 받을 경우, 지표 하단의 즐겨찾기에 인디케이터 넣기를 누릅니다.
차트화면으로가서 상단에 지표를 눌러 왼쪽탭에 보면 즐겨찾기 탭이 있습니다.
즐겨찾기 탭 (또는, 인바이트 온리) 에서 지표이름을 눌러서 지표를 추가합니다.
권한이 부여됐음에도 지표추가시 study error가 발생할 경우
차트를 모두 끄고 재시작함으로써 문제점을 해결할 수 있습니다.
Trends in Black and White'Trends in Black and White' is now rolling out to all of our Pro Community members
What is it for? This is a simple visual indicator designed to help users identify long or short bias. It does not provide direct entries and exits but can be used effectively in combination with Trendmaster Premium and other technical analysis methods.
How do i get access?
This indicator is available as a free extra to all of our Pro community members only.
All of our packages are listed below.
- Premium - $50 - This gives you access to the TrendMaster Premium TradingView indicator (www.tradingview.com), the TrendMaster Premium Binance signal bots and the Premium Discord channels.
- Premium+ - $75 or $25 for existing Premium users - All the benefits of the Premium package, but with added signal bots for Bittrex, Bitfinex and Kucoin exchanges.
- Pro - $100 or $50 for existing Premium users/$25 for existing Premium+ users -Access to 'Trendmaster Premium' and 'Trends in Black and White' indicators. All the benefits of the Premium+ package, but with added signal bots for D1 and H4 Ichimoku TK cross and Ichimoku cloud breakout for Binance.
The mandatory Legal bit:
@IchimokuScholar and @Crypto_C00kie wish you the best of luck in achieving your trading goals. Please apply appropriate risk management.
Any form of trading has large potential rewards but also large potential risks. The Purchaser must be aware of those risks and be willing to accept them. Don't trade with money that you, the Purchaser cannot afford to lose. No representation is being made that you are guaranteed positive results. The past performance of any trading methodology is not necessarily indicative of future results. Trading involves high risks. @TrendmasterTM, @IchimokuScholar or @Crypto_C00kie are NOT responsible for any trades that you, the Purchaser take. All trades taken are entirely at the Purchasers own risk. Refunds are neither offered nor implied.
G.O.A.T. Scalper Diagnostics v1OVERVIEW:
The G.O.A.T. Scalper Diagnostics indicator system enables users to discover unorthodox indicator patterns, reading price charts in unusual ways, thus gaining an edge over the majority of market participants they trade against.
CONCEPTS:
Th G.O.A.T. Scalper Diagnostics is a system that aims to satisfy the fundamental condition for successful online trading - providing an edge.
It's a battle between advantages. To take other people's money, successful traders must have an advantage over everybody else. To hope for consistent success in trading, you need to do things differently and see what almost nobody else sees. Of course then you must act on it, and that's where the G.O.A.T. Scalper Diagnostic's mandate ends.
I believe the vast majority of indicators out there show you what everybody else sees. I've always been an indicator guy, I respect and cherish most indicators and I know a good indicator when I see it.
However, although most indicators are great works of art, their practicality is in most cases doubtful. Presenting great information is one thing, but providing an edge over the people you trade against is something different.
What Everybody Else Sees
The G.O.A.T. Scalper Diagnostics is based on indicators most of you have probably heard of and used:
Moving Averages (particularly the Kaufman Moving Average, among others)
ADX and DI
Bollinger Bands
Stochastic (particularly the Stochastic RSI)
Most traders should be well familiar with these classic indicators, they've provided the basis for online indicator trading for decades. But it's also true that due to how popular online trading has become all over the world, one is more and more unable to use these indicators successfully on lower timeframes.
Usually, more noteworthy success is achieved by going up in scale and discovering the timeframe where a particular indicator produces no false signals. Often times these timeframes range from bi-weekly to multi-month scale. In other words, consistently successful low timeframe trading and scalp trading in particular are now almost impossible using indicators.
Traders that dominate the scalping arena are big professional/institutional groups of traders, who have systematic access to the order books of most exchanges. This can be achieved one way or another, but not by individuals, small groups without significant capital or simply traders who lack political/social power and influence in the trading field.
In other words - giant order book traders have an edge over everybody else, who use indicators to trade on lower timeframes.
Through a series of interventions into these classical indicators, the G.O.A.T. System brings them back into the lower timeframe competitive game. Most original formulas are preserved, but these immortal classics are applied in ways popular TA would consider unorthodox.
Ingenious Indicators Built by Creators
The G.O.A.T. Scalper Diagnostics relies on the fundamental work of others. The System is developed on the basis of:
Quadratic Kernel Regression - it uses the publicly published library of Justin Dehorty: www.tradingview.com
PMARP - Price Moving Average Ratio & Percentile, publicly published by "The_Caretaker": www.tradingview.com
These Creators deserve full credit for their fundamental work and are endorsed by the G.O.A.T. Scalper Diagnostics project.
And yet... ingenious and inspired as these tools are, in my humble opinion the general public is presented with a rather unproductive way to apply them. In my own view, these wonderful tools built by JDehorty and The_Caretaker have a massive potential should they be applied and wielded in a different direction. So I tried to bring my vision about them into flesh with the G.O.A.T. Diagnostics.
What the G.O.A.T. Scalper Diagnostics Is and How to Use It
It's a System for new pattern discovery, bringing the disciplines of pattern and indicator trading together.
By using it as a stand-alone, or mixing it with other great indicators, one is able to discover new indicator patterns. Patterns can be compared, matched together and categorized. By applying statistics to differentiated historical pattern groups, we're able to derive their meaning.
Thus, the trader is able to research their own "alphabet" to read the price charts. After categorizing and differentiating pattern groups with statistically predominant meaning, the trader is then able to read into longer scenarios - price set-ups that are harder to detect due to them being stretched in time or misshapen according to the particular situation.
The G.O.A.T. Scalper leverages and encourages group trading, as different traders will probably discover different price "alphabets" for themselves, potentially giving rise to a social economy of sharing and combining "trading languages" based on indicator patterns people have discovered via the G.O.A.T. Diagnostics.
Support/Resistance Trading
The G.O.A.T. Scalper has its own way of deriving Support/Resistance.
Unlike most existing S/R indicators, The Scalper derives Support/Resistance not by measuring price highs, lows and closes, but solely by using momentum and trend strength.
This seems like a much more versatile way to plot S/R during scalping on low timeframes where time is of essence and the trader's view is too narrow to have macro S/R levels in constant consideration.
The Scalper's way to derive S/R in real time and on the go, while staying very relative to important higher timeframe S/R zones, makes it much more desirable than any other S/R indicator I've thus far encountered.
All S/R functionality is derived from the classical ADX and DI indicator. To do this, I use the ADX and DI in an unpopular way. To generate the actual plot of S/R levels I also modify the indicator's code, not by removing functional parts from it, but adding more to it in order to filter the signals it produces.
I can metaphorically describe its action in the following way:
Imagine you're Price action itself;
You're walking through a labyrinth or corridors. You're walking through one straight corridor, and it has a crossing with another corridor ahead;
Very strong wind is blowing along that other corridor. You can't see the wind, but when you reach it and try to move past it, the force of the wind resists your moving ahead and instead pushes you sideways.
At this point, the G.O.A.T. Diagnostics already knows this can only be one thing - resistance.
Orthodox TA and trading demand retests. In my opinion, this deeply rooted tradition wastes time proving the obvious, then wastes time again double-proving the validity of recent past, while scalping opportunities go to waste. Modern successful traders are way ahead of the popular strategy of testing and retesting S/R that almost every trader uses. So-called "Stops hunting" is just one expression of this situation, where wide adoption of the S/R retesting strategy actually lures unsuccessful traders into the schemes of the successful few.
In my own way of trading, I use the G.O.A.T. Diagnostics to take action on Support/Resistance as it's plotted in real time.
But probably my biggest heresy into the DI is my opinion, that the crossings of the +DI and -DI are useless and should actually be discarded.
My research shows that the DIs often show indications of being "oversold", but don't seem to exhibit an "overbought" state. Statistically, I've had much more success basing my TA on that, rather than cross-ups and cross-downs of the DI plot lines.
Therefore I discarded these crossings by presenting the DI part of the ADX and DI as a Heatmap channel rather than crossing lines.
To further enhance the ability of the System to provide S/R analysis, I plot this Heatmap onto an adjustable price offset plots (a percentage above and below current price).
In modern times, the vast majority of trading is done by automatic machines and algorithms. To give a specific example, one can easily notice, that a 5% offset of the BTC 1h price plot leads to remarkably accurate S/R charting. Following the rule to chart a S/R line connecting highs and lows on the 5% price offset often successfully "foresees" valid S/R zones before price ever visits them. Or, the levels were visited so far back in the timeframe's history that orthodox understanding considers them "invalidated" or washed away in the noise of the relevant volume profile.
My explanation for this is simple - I think Grid bots now dominate automatic trading across the majority of exchanges.
In my understanding, by adjusting the percentage offset of current price action I can often discover relevant conglomerations of dominating Grid bot cell parameters and anticipate price reaction. By plotting the DI heatmap on these price action offsets I can use the indicator for my trading decisions.
Heatmaps
Every heatmap produces different series of data. They're not the same.
Bollinger Band heatmap depicts the percentile distance between the Band's extremes.
The price candles heatmap, and the KAMA moving average heatmap, depict the percentile distance between price and the KAMA. So, it's the same thing. However, the percentile of that distance is calculated in two different ways, hence the difference in color in every particular moment. This color discrepancy aims to visualize the "strain" between price action and KAMA, like a soft and hard "springs" that go in unison with each other in sustainable moves, and in dissonance with each other during unsustainable moves.
Price offset heatmap depicts the percentile average of the +DI (above price) and the -DI (below price). A Hot temperature above price and a Cold temperature below price would mean a strong bullish sentiment, and vise versa, while Green would mean neutrality in sentiment.
There are important interplays between different heatmaps. For example, although representing totally different things, a Teal price bar would almost always (according to historical statistics) foreshadow a change in DI's heatmap sentiment. That's just one avenue of correlation between S/R analysis and sentiment analysis using the G.O.A.T. Diagnostics.
Oscillator Chart
In terms of applying Quadratic Kernel Regression, I endorse the natural principle that no center can exist without a periphery, and no periphery can exist without a center. Therefore I try to pay attention not only to the average of the regression's values, but also to the cloud of data points itself.
Following this understanding, I attempt to depict the natural cycles of price converging/diverging towards/from its regression average. To do this, I apply the classic Stochastic formula.
Thus, the Oscillator part of the System depicts the following:
Thin heatmap line displays the cycles of price converging with its quadratic kernel regression average (moving down), and diverging with its regression average (moving up). Its heatmap depicts the percentile of this oscillation.
The wider heatmap line displays the KAMA's cycles of convergence/divergence with its own quadratic kernel regression average. The reason for this is again creating discrepancy - while KAMA is based on price action, its regression data values differ from those of price action's regression. This discrepancy produces useful historic patterns that can be studied statistically.
The thin and wide purple oscillator lines depict the change of slope of price action regression average and KAMA regression average, respectively. Very often change of slope is not detectable with the naked eye, but clearly indicated by the oscillators.
By combining all these elements into a single analysis, a trader can detect hidden trends that are yet to become visible for the rest of market participants.
For example, convergence of price with its quadratic kernel regression average while the slope of the average deteriorates down in most cases (according to statistics) means a sideways consolidation in a downtrend before downtrend continuation. Conversely, deviation of price action from its regression average while the regression average slope deteriorates down usually marks the very beginning of a downtrend.
Bollinger Bands
Bollinger Bands are not modified, but are based on quadratic kernel regression values. Thus, if Bollinger Bands themselves are indicative of volatility, then based on kernel regression values, they should indicate the volatility of change of values in the regression's window.
Again, applying it to both the price and KAMA regression data series, a discrepancy is highlighted that leads to useful historical patterns subject to analysis and categorization.
SOME EXAMPLES
Support / Resistance
Support/Resistance levels are market by White Triangles with dotted lines plotted from them, in real time. The indicator plots Ghost Triangles in anticipation of Support/Resistance, preparing the trader for the eventual confirmation of a zone of interest and signaling price is feeling Support or Resistance pressure.
Dialing the length of the S/R lines to 25 makes the indicator more useful.
Dialing the setting to 500 clearly shows macro S/R zones by conglomerating and bundling individual lines. The thicker the bundling and the confluence of lines, the more significant the zone.
Thus lower timeframe scalping and trading is made more easy, without the need to do nearly as much manual S/R charting. Support/Resistance analysis and plotting is entirely based on a modified ADX.
Heatmap
Sustainable moves are generally marked by Green price color and calm KAMA colors.
Unsustainable moves are usually marked by more extreme colors of price bars and KAMA. Red usually means price is unsustainably distanced from the KAMA, while deep Blue usually means price is undesirably close to the KAMA, foreshadowing a directional distancing.
Usually Teal color of price bars and KAMA foreshadow a change of sentiment of the outside Heatmap sentiment channel.
Red color of the outside channel always signals the direction of the desired sentimental movement, while Blue signals the extent at which the counter-element suffers. Thus, one side being Green, while the other is Blue, often means the Blue will soon evolve into a warmer color, attracting price in that direction. Outside Heatmap channel is entirely based on a modified DI.
Oscillator Chart
An example of Chart Diagnosis using the Oscillator and other elements of the G.O.A.T. Scalper:
First (far left), a Resistance is plotted. This coincides with price bars being Red (distressed state). The thin colorful Oscillator line takes an Up-turn, signifying a period of price moving away from its Quadratic Kernel Regression (pink moving average).
After Price cools down to Green sustainable colors, a Support is plotted. During this time, the thin colorful line is falling down, signifying a period when the distance between price action and its quadratic kernel regression average is decreasing.
During this phase, the thin purple Oscillator line goes up. This signifies the slope of the price regression is restoring to the upside.
Next, the thin colorful line starts going up again, signifying another period of price getting further away from its regression average. This time to the upside.
Resistance is being broken and new support is established. At this point, the thin colorful line starts falling again, signifying distance between price and its regression MA is shortening. This is clearly visible as a sideways consolidation (with a slight tilt up of slope).
A moment comes when all lines - the price and KAMA lines, and price and KAMA regression slopes, all point down. A new down period is clearly starting. This is further indicated by Teal price bars and new Resistance forming. Notice how the external heatmap channel goes into more balanced Green colors with trend enthusiasm calming down.
This analysis may appear to be overwhelming and confusing at first, as these metrics are unorthodox and unpopular. But different aspects of the indicator can be toggled ON/OFF to single them out, which makes observations much simpler for new users. After some time spent discovering personal patterns, or reviewing other users' catalogues with already published pattern libraries, it soon becomes easy to read charts in this new way.
Bollinger Bands
Bollinger Bands provide another way to produce patterns that give users specific chart information.
One noteworthy indication is when the price and KAMA Bollinger Bands separate their value zones. Since the zones of these Bands are based on the kernel regression values of the respective sources, their separation is significant and too often means violent reversals or violent continuations (which usually can be judged using the other metrics the System provides, or additional indicators of choice).
Another noteworthy Bollinger Band pattern is when price action leaves a prolonged trending move.
First phase of the end of a prolonged trending move is the BB zones expanding and doing a significant overlap.
Second stage is price getting reaccepted in the Price BB. This however doesn't mean reacceptance in the KAMA BB and if the moment isn't right, usually leads to bounces and continuations.
The KAMA needs to "make space" for price to get reaccepted into the KAMA BB. While the KAMA is outside its BB or very near to its wall, price reacceptance into it is not very probable. When KAMA withdraws from its BB wall, opening an "entrance on its membrane", that's when price is eligible to get reaccepted into the KAMA BB. That's usually the moment the long awaited consolidation starts and a long trending move is over.
Users of the G.O.A.T. Scalper Diagnostics can discover many more patterns and correlations between patterns within the System. But the System itself can multiply all possible patterns when inspected in the context of additional indicators, leading to vast possibilities of signal and pattern discovery with huge potential.
A very good idea would probably be to use the G.O.A.T. Diagnostics together with the Ichimoku.
Ichimoku has always been famous for its genius simplicity and elegant profoundness, but notorious for its total lack of accuracy, as well as general uselessness on lower timeframes. The G.O.A.T. System has the potential to enhance all of Ichimoku's strengths and cure its weaknesses.
Yet another good idea may be to pair it with kindred indicators, like the Gaussian Channel, which has a stunning performance, but suffers from too high level of generalization. The Diagnostics can provide the intricate texture of price manoeuvres the Gaussian Channel fails to register, while the GC can give the Scalper even more solid context for its patterns.
The worthwhile possibilities seem endless...
Entry Table
I've added a little Entry Table at the bottom right corner. It's designed to potentially help scalpers trade faster, and to visualize a potential trade they're thinking about before they execute it. A Stop Loss is visually plotted in real time to better visualize it's placement in the chart context.
It encourages responsible risk management in its settings:
The user enters the amount of their trading portfolio;
Then specify the percentage of their portfolio they're willing to risk at every trade;
After that the user can chose to specify a flat percentage Stop Loss.
The table will calculate the size of the entry of a market order, so the user only risks the specified percentage of their portfolio should the specified Stop Loss level is hit.
There's also the option to use automatically suggested Stop Loss, based on recent volatility. The actual Stop Loss is calculated 20% away from the actual volatility level, to better protect from unforeseen wicks.
In the current example, the user with a $1000 trading portfolio has to do a $1000 entry to lose 1% of their portfolio ($10) at a 1% Stop Loss.
But the user has to do a $2,525 entry in order to lose 1% of their portfolio (%10) at a much closer Stop Loss which is less than 1%, based on recent volatility.
The Entry Table should be considered as a cosmetic convenience and not a dedicated risk management tool.
CONCLUSION:
The G.O.A.T. Scalper Diagnostics is an indicator System, based on popular, but modified and tweaked versions of indicators like the ADX and DI, Stochastic, Bollinger Bands and MAs. It also leverages the remarkable work of inspired creators: JDehorty's Quadratic Kernel Regression library, and The_Caretaker's PMARP .
The G.O.A.T. Scalper Diagnostics indicator system enables users to discover so-called new "indicator-pattern alphabets", reading price charts in new and unorthodox ways, thus gaining an edge over the majority of market participants they trade against.
The high degree of freedom when discovering new patterns, either within the System itself or correlating its output to external auxiliary indicators, highlights the System's potential for original discoveries leading to highly personalized trading strategies. Exchanging information about personal pattern libraries can potentially also give birth to new private trading communities.
Volume Adaptive Chikou Scalping StudyIDEA PLACEMENT
This indicator uses “Chikou” cross concept of Ichimoku cloud indicator and enhances usage of High/Low data with Volume Breakout and Volatility based dynamic adaption.
I’ve been working on making Moving Averages more adaptive based on Volume Breakout and Volatility but as we know Mas work better on close values. I wanted to create a study that may have maximum data available and that’s how I came up with the concept of making adaptive Ichimoku Cloud. Except, I used different concept than Ichimoku. As we know that Tenkan-sen and Kijun-sen from Ichimoku Cloud average out highest and lowest values within 26 and 9 period respectively but I tried making it Volume Breakout and Volatility based Adaptive but couldn’t get better results.
Along the way I came up with an idea of instead of averaging out just keeping the High/Low values data separate and intact and to do so I took Linear regression of High values of Volume Breakout and Volatility based Adaptive dynamic period and similarly with Low values.
Then the strategy was to use Chikou for crossover and crossunder indication and for this purpose I used Chikou with same dynamic length as used before in High/Low linear regression.
The idea becomes simple as when Adaptive Dynamic Chikou crosses Adaptive Dynamic Linear Regression of High/Low values then Lowest / Highest value within current Adaptive Dynamic Length becomes the next Support / Resistance.
SIGNALS
Not every Chikou cross would give signal instead signal should be supported by either Volume Breakout or Volatility whatever you have selected from.
FIBONACCI EVELOPE BANDS
I’ve included ATR based Fibonacci multiple bands which would act as good support/resistance zones.
DEFAULT SETTINGS
I’ve set default Minimum length to 20 and Maximum length to 50 which I’ve found works best for almost all timeframes but you can change this delta to adpat your timeframe accordingly with more precision.
Dynamic length adoption is enabled based on both Volume and Volatility but only one or none of them can also be selected.
Trend signals verification is enabled based on Volume but Volatility can also be enabled for more precise confirmations.
In “RVSI” settings TFS Volume Oscillator is set to default but others work good too especially Volume Zone Oscillator. For more details about Volume Breakout you can check “MZ RVSI Indicator”
ATR breakout is set to be true if period 14 exceeds period 46 but can be changed if more adaption with volatility is required.
FURTHER ENHANCEMENTS
I’ve used Linear Regression of High/Low values because I found better results with it but SMA and HMA can also be used. I’m planning to perpetually use this study for Dynamically length adaption and trades confirmations in other strategies.
GOJWH SRISRI (Stochastic Relative Strength Ichimoku)
The SRI basically follows the number of Ichimoku.
The basic principle is similar to Ichimoku, but you can think of the role of Base Line and Conversion Line as "Stochastic" and "RSI" as Cloud.
And SRI is based on oscillator. This is the biggest difference. Therefore, it does not affect viewing the moving average.
There are three main things to check.
1. Cross of "KDJ"
2. See if the "stochastic" line runs through the clouds.
3. It is necessary to check what the next cloud forms.
The signal from the bar is displayed when the conditions of "1 ,3" and the position of the stock relative to the moving average line are simultaneously satisfied.
