TrendLine CrossThis indicator "TrendLine Cross", is designed to plot trend lines so you can spot potential trend reversal points on the charts. The main function is to draw several lines on the chart and identify the crossings between these lines, which can be significant indicators for trading. The lines are based on different periods which can be changed in the settings tabs.
Let's see the characteristics of the trend lines:
_Low Line Color(Green Line): This line connects the lowest point of low prices in the "low_time" period with the lowest point of low prices in the "high_time" period. Indicates a possible short-term support level on the chart.
_Liquidity Up Line Color (Golden Line): This line connects the lowest point of low prices in the "low_time" period with the highest point of low prices in the same period. It represents a liquidity zone and an important resistance in the chart.
_Lower Line Color (Blue Line): This horizontal line connects the lowest point of low prices in the "LowerLine_period" with the lowest point of low prices in the "high_time" period. Indicates a possible long-term support level.
_Upper Line Colorr: This line represents a connection between the highest points of the "high_time" period and the lowest point of the "LowerLine_period". Indicates a possible long-term resistance level.
_Up Line Color (Red Line): This line connects the highest point of high prices in the "high_time" period with the highest point of high prices in the "LowerLine_period". It represents a possible long-term resistance level.
_Liquidity Down Line Color(Golden Line): This line connects the highest point of high prices in the "high_time" period with the highest point of low prices in the "low_time" period. It represents a liquidity point and an important support zone.
The indicator becomes particularly interesting when the lines make crossings. These crossovers could suggest a potential trend change in the market. For example:
Change from Bearish to Bullish: If the "long-term" line (black) crosses the "short- or long-term" line (green or blue) from top to bottom, it could indicate a shift from a bearish to a bullish market , suggesting the opportunity for long positions.
_Changing from Bullish to Bearish: If the "long-term" line (blue) crosses the "short-term" line (red or black) from bottom to top, it could indicate a shift from a bullish to a bearish market, suggesting the opportunity for short positions.
Generally speaking, crossings between these lines can be key points of interest for traders, as they can signal significant changes in price direction.
Komut dosyalarını "GOLD" için ara
VARGAS"VARGAS" is an indicator that can be used in all timeframes on charts in the stock, crypto, and commodity markets. It allows trades to be opened according to the intersections of moving averages in different time periods.
It is an indicator using weighted moving averages. Using a weighted moving average has the following benefits for traders:
1) Precision and Smoothness: The WMA typically gives more weight to recent prices and therefore reacts faster to more recent data. This helps you catch price movements faster and recognize trend changes faster. On the other hand, the WMA is smoother than the simple moving average (SMA), which makes it less likely to generate false signals.
2) Trend Identification: The WMA is used to identify and analyze price trends. It is especially important for traders who want to track short-term movements. The WMA is used to assess the direction and strength of the trend.
3) Trading Signals: The WMA is used as part of various trading strategies. It is especially used in moving average crossover strategies. For example, a short-term WMA crossing the long-term WMA to the upside can be considered a buy signal, while a reversal can be interpreted as a sell signal.
4) Adaptability to Volatility: WMA can adapt to volatility by changing weighting factors. Investors can adopt a more flexible approach by assigning different weights based on market conditions and asset classes.
5) Data Correction: WMA can be helpful in reducing data noise. A single large price fluctuation can cause the SMA to be more affected, while the WMA reduces the impact of these fluctuations.
In our VARGAS coding, the intersection times of the 9-day and 15-day weighted moving averages allow us to decide the direction of the trend. The green and red cloud areas following the price candles make the strategy easy for the user to follow.
At the intersection between the 9-day weighted moving average and the 15-day weighted moving average, we can use buy and sell signals as follows:
If the 9-day weighted moving average crosses the 15-day weighted moving average upwards, buy,
Sell if the 9-day weighted moving average crosses the 15-day weighted moving average downwards.
Within the scope of this strategy, GOLDEN CROSS and DEATH CROSS intersections, which guide us for trend changes, are also included in the coding. Thus, it is aimed to add strength to our WMA 9 and WMA 15 intersection strategy as an idea.
VARGAS indicator gives better results for longer periods of 4 hours and above. As the time period increases, the probability of correct results will increase.
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"VARGAS" hisse senedi, kripto, ve emtia piyasalarındaki grafiklerde her türlü zaman diliminde kullanılabilen bir indikatördür. Farklı zaman periyotlarındaki hareketli ortalamaların kesişimlerine göre işlem açılmasını sağlar.
Ağırlıklı hareketli ortalamalar kullanılarak hazırlanmış bir göstergedir. Ağırlıklı hareketli ortalama kullanmanın yatırımcılara aşağıdaki gibi faydaları bulunmaktadır:
1) Duyarlılık ve Pürüzsüzlük: WMA, tipik olarak son dönem fiyatlarına daha fazla ağırlık verir ve bu nedenle daha güncel verilere daha hızlı tepki verir. Bu, fiyat hareketlerini daha hızlı yakalamanıza ve daha hızlı trend değişikliklerini tanımanıza yardımcı olur. Diğer yandan, WMA, basit hareketli ortalamaya (SMA) göre daha pürüzsüzdür, bu da yanlış sinyal üretme olasılığını azaltır.
2) Trend Belirleme: WMA, fiyat trendlerini belirlemek ve analiz etmek için kullanılır. Özellikle kısa vadeli hareketleri izlemek isteyen yatırımcılar için önemlidir. WMA, trendin yönünü ve gücünü değerlendirmek için kullanılır.
3) Ticaret Sinyalleri: WMA, çeşitli ticaret stratejilerinin bir parçası olarak kullanılır. Özellikle hareketli ortalama crossover stratejilerinde kullanılır. Örneğin, kısa vadeli WMA'nın uzun vadeli WMA'yı yukarı yönlü kesmesi bir alım sinyali olarak kabul edilebilir, tersine dönmesi ise bir satış sinyali olarak yorumlanabilir.
4) Volatiliteye Uyarlanabilirlik: WMA, ağırlıklandırma faktörlerini değiştirerek volatiliteye uyum sağlayabilir. Yatırımcılar, piyasa koşullarına ve varlık sınıflarına göre farklı ağırlıklar atayarak daha esnek bir yaklaşım benimseyebilirler.
5) Veri Düzeltme: WMA, veri gürültüsünü azaltmada yardımcı olabilir. Tek bir büyük fiyat dalgalanması, SMA'nın daha fazla etkilenmesine neden olabilirken, WMA bu dalgalanmaların etkisini azaltır.
VARGAS isimli kodlamamızda ise 9 günlük ve 15 günlük ağırlıklı hareketli ortalamaların kesişme zamanları trendin yönüne karar vermemizi sağlar. Fiyat mumlarını takip eden yeşil ve kırmızı bulut alanları stratejinin kullanıcı tarafından kolaylıkla takip edilmesini sağlamaktadır.
9 Günlük Ağırlıklı hareketli ortalama, 15 Günlük Ağırlıklı hareketli ortalama arasındaki kesişimde al ve sat sinyallerini şu şekilde kullanabiliriz:
Eğer 9 günlük ağırlıklı hareketli ortalama 15 günlük ağırlıklı hareketli ortalamayı yukarı doğru kesiyorsa al,
Eğer 9 günlük ağırlıklı hareketli ortalama, 15 günlük ağırlıklı hareketli ortalamayı aşağı doğru keserse sat.
Bu strateji kapsamında trend değişimleri için bizlere yön veren GOLDEN CROSS ve DEATH CROSS kesişimleri de kodlamanın içerisinde dahil edilmiştir. Böylelikle WMA 9 ve WMA 15 kesişim stratejimize fikir olarak güç katması hedeflenmiştir.
VARGAS indikatörü 4 saat ve üzeri daha uzun periyotlarda daha iyi sonuçlar vermektedir. Zaman periyodu büyüdükçe doğru sonuç verme olasılığı artacaktır.
Cynical Cold IndexThis TradingView indicator calculates the Cynical Cold Index, which is a weighted basket of commodity prices designed to track economic conditions. It compares the price of a given asset to the index value.
Weights the commodities as percentages:
Gold: 10%
Oil: 15%
Coffee: 5%
Natural Gas: 10%
Silver: 15%
Sugar: 5%
Corn: 5%
Wheat: 5%
Cotton: 10%
Copper: 10%
Iron Ore: 5%
Live Cattle: 5%
Urea: 5%
nVPSA - Normalized Volume-Price Spread AnalysisNormalized volume-price spread analysis indicator can be helpfully tool in Tom's William metodology - VSA.
The indicator use normalized data by y/x(max) operation, where x(max) is the biggest value in range. Indicator separate spread to four levels - standard divation is separator.
The indicator graphically shows:
- normalized volume, visualized by wide column,
- normalized price spread, visualized by narrow column,
- linear regression calculated from normalized volume, visualised by crosses,
- linear regression from normalized price spread, visualized by circles.
Columns are marked by five colors according to standard deviation:
- blue xsecond deviation, xfourth deviation,
- gold when volume or price spread achive new maximum in analysis range.
Linear regression uses three colors:
- green when volume/spread is up bar by bar,
- red when volume/spread is down bar by bar,
- black when volume/spread is down two times bar by bar.
Additionally, it is posible to use alarm on Golden Bar. Colors and range values are editable from indicator settings.
Auto Fibonacci TP Levels [WJ]This script automatically draws Fibonacci levels on a trading chart which are popular tools for traders seeking to identify potential areas of support and resistance.
Here are the features and benefits of this script:
1. Versatility in Sourcing Trade Entries:
Trade source can be customized to either longs (buying trades) or shorts (selling trades). The user has the flexibility to adjust their entry points based on their trading strategy.
Up to 2 sources can be used, expand if you wish.
As it is coded now, the source you have to pick from has to have a 'plot' that sends a (long) or (short) and is equal to 1 and 2 respectively.
Example: In the script you want to use for Long and Shorts, make a plot like this:
plot(LONG ? 1 : SHORT ? 2 : 0, title = "⭐ Outbound signal", display = display.none, editable = false)
The variable name of the LONG and SHORT needs to be the same as the one your code is using to indicate those trades.
2. Flexible Fibonacci Start Points:
The starting points for drawing Fibonacci levels can be customized for both longs and shorts.
3. Configurable Historical Data Length:
Users can adjust the number of historical bars to analyze for calculating higher highs (HH) and lower lows (LL).
4. Informative Labels and Lines:
The script can be configured to show the distance from the entry point to the 0.618 Fibonacci level (the so-called "golden ratio"). This helps traders to visualize the risk-reward ratio of their trades.
It indicates when a Fibonacci level was crossed which could signal a potential reversal.
It allows users to display the golden pocket levels only (0.618 and 0.65) or all the Fibonacci levels.
5. Customizable Fibonacci Levels and Colors:
Users can define their preferred Fibonacci levels and assign specific colors to each of these levels. This helps in identifying different levels quickly and intuitively.
The script also includes functionality for setting stop loss levels for short and long positions, which helps in risk management.
6. Clear Visualization of Crossing Levels:
If a trade crosses a specific Fibonacci level, the script draws lines indicating the crossing. This can help traders to identify potential breakout or reversal points.
7. Calculation of Fibonacci Boxes:
For each Fibonacci level, the script creates a box that indicates the level's range on the chart. This visual aid can help traders to better understand the price movement within these levels.
8. Customizable Labels:
The script provides percentage difference labels at each Fibonacci level, displaying the difference between the price at that level and the price at the 0 Fibonacci level. This can help users quickly understand the price change in terms of percentage at each level.
9. Performance Efficiency:
The script uses arrays to store and manage the Fibonacci levels and their associated colors. This approach enhances the performance of the script, especially when processing a large amount of data.
10. Adaptability:
This script automatically adapts to market movements. When the price crosses a level, it identifies and records this event, aiding the trader's decision-making process.
Overall, this script is highly customizable, adaptable and provides a clear visual representation of important trading data, making it an effective tool for traders using Fibonacci levels in their strategies.
NOTE: If you can't see the fib lines, it is because they have already been triggered/touched by a candle and they are set to not continue after they are touched.
RSI-all in one_Pro[vn]👉Hello traders.
Introducing the " RSI all-in-one " Bot that includes the functions:
+ Automatically scan RSI divergence
+ Automatically scan RSI trendlines
+ Create an alert when there is a golden signal (RSI creates a divergence and then breaks its trendline, signaling a trend reversal)
Explain:
During trading when using the indicator "RSI - trendlines - div " in my library on TW web page:
- I have an idea to create a Bot indicator about "Automatically scan RSI divergences and trendlines". Because those are the top strengths when traders use the RSI to forecast trend reversals.
- On each chart of the trading pair, the RSI draws the trendline pair as: uptrendline and downtrendline (closest to the RSI)
- So when the statistics on "Bot" also shows the column of RSI trendlines up and the column of RSI trendlines down
- Column |════🡹\n\ʀꜱɪ| - is the above RSI trendline
- Column |ʀꜱɪ\n\════🡻| - is the below RSI trendline
- When RSI approaches any one of its trendlines and the ratio is 10%, then:
+ in column |✎\n\𝖙.𝖑𝖎𝖓𝖊| Red colored digits (downtrend)
+ in column |𝖙.𝖑𝖎𝖓𝖊\n\✐| blue colored digits (uptrend)
Is the value of the RSI trendline for traders to pay more attention to when it can be the entry and exit points according to the resistance and support nature of the RSI trendlines.
- When the RSI breaks the above trendline, it shows is "🡹", if it is the first candle, at the column |════🡹\n\ʀꜱɪ| it shows as "🡹1|1|1" the cell turns green , that's the RSI signal breaking the line. Its resistance to go up, wait for the candle to close, we can enter "Buy/Long" order.
- When the RSI line breaks below the trendline, it shows is "🡻", if it is the first candle, then at the column |ʀꜱɪ\n\════🡻| it displays as "🡻1|1|1" the cell turns red , that's the RSI signal breaking the line Support to continue down, wait for the candle to close, we can enter "Sell/Short" order
- The parameter when breaking shows 10|10|10, it means that the RSI has broken 10 candles (RSI candles), and the first 10 candles are colored green (bullish) red (bearish) then hidden. (can be changed in settings). In addition, when displaying the parameters of the cell as above, the column |✎\n\𝖙.𝖑𝖎𝖓𝖊| and |𝖙.𝖑𝖎𝖓𝖊\n\✐| will show the percentage from when the RSI break point to the current RSI (closed)
- Column |𝚍𝚒𝚟| is a divergence signal. When the price makes a new high, a new low, and the RSI signals a divergence, it will start to increase the base from the number 1. From here, the Trader will know which trading pair is starting to divergence RSI. Cell is Green bullish divergence, Cell is red bearish divergence
- Column|🆁🆂🅸| is the current RSI .{🟢} RSI above the cloud , {🔴} RSI below the cloud , {⚪️} RSI in the cloud(RSI clouds also indicate very well the support and resistance zone of RSI)
- There are 5 warning functions on this indicator
- The parameter {20:2} is the length of the RSI trendline and combines the same parameters with the "RSI - trendlines - div{vn}" indicator when analyzing
💥 Summary:
Trading methods with this indicator:
+ Trade when there is a divergence
+ Trade when the RSI approaches its trendline (it is the support and resistance line of the RSI)
+ Trade when the RSI breaks the trendline (definitively above or below)
+ Trade when there is a divergence then after a few candles, RSI breaks through its trendline, giving a golden signal.
1 . image
Later(sau đó)
2 . image
Later(sau đó)
Note: The indicator can create up to 40 trading pairs, so traders should choose a super nice signal to enter orders.
-----------------------------------------------------Vietnamese-------------------------------------------------------
👉Xin chào các nhà giao dịch VietNam.
xin giới thiệu Bot "RSI-Tất cả trong một " bao gồm các chức năng:
+ Tự động quét phân kì RSI
+ Tự động quét đường xu hướng RSI
+ Tạo cảnh báo khi có tín hiệu vàng(RSI tạo phân kì và sau đó phá vỡ đường xu hướng của nó báo hiệu đảo chiều xu hướng)
Diễn giải:
- Trong quá trình giao dịch khi dùng chỉ báo "RSI - trendlines - div " trong thư viện của tôi trên trang TW . Tôi có ý tưởng tạo chỉ báo Bot về " Tự động quét phân kì và đường xu hướng của RSI ". Vì đó là những điểm mạnh hàng đầu khi nhà giao dịch sử dụng chỉ báo RSI để dự báo đảo chiều xu hướng.
- Trên mỗi biểu đồ của cặp giao dịch, chỉ báo RSI vẽ cặp trendline là: trendline tăng và trendline giảm (gần với RSI nhất)
- Vì vậy khi thống kê trên " Bot " cũng hiển thị cột của RSI trendlines tăng và cột của RSI trendlines giảm
- Cột |════🡹\n\ʀꜱɪ| - là trendline RSI bên trên
- Cột |ʀꜱɪ\n\════🡻|- là trendline RSI bên dưới
- Khi RSI phá đường xu hướng bên trên thì nó hiển thị là "🡹", nếu là cây nến đầu tiên thì tại cột |════🡹\n\ʀꜱɪ| nó hiển thị là "🡹1|1|1" ô đổi màu xanh , đó là tín hiệu RSI phá vỡ đường kháng cự của nó để đi lên , chờ nến đóng cửa ta có thể vào lệnh "Buy/Long"
- Khi đường RSI phá đường xu hướng bên dưới thì nó hiển thị là "🡻", nếu là cây nến đầu tiên thì tại cột |ʀꜱɪ\n\════🡻| nó hiển thị là "🡻1|1|1" ô đổi màu đỏ , đó là tín hiệu RSI phá vỡ đường hỗ trợ để xuống tiếp , chờ nến đóng cửa ta có thể vào lệnh "Sell/Short "
-Khi RSI tiến gần đến 1 đường trendline bất kì của nó mà tỉ lệ còn 10% thì:
+ tại cột |✎\n\𝖙.𝖑𝖎𝖓𝖊| chữ số tô màu đỏ (trend giảm)
+ tại cột |𝖙.𝖑𝖎𝖓𝖊\n\✐| chữ số tô màu xanh (trend tăng)
Là giá trị của đường trendline RSI để trader chú ý hơn khi đó có thể là điểm vào lệnh và thoát lệnh theo tính chất kháng cự hỗ trợ của RSI trendlines.
-Thông số khi phá vỡ hiển thị 10|10|10 thì hiểu là RSI đã phá vỡ 10 nến(nến RSI), và 10 nến đầu tiên được tô màu xanh(tăng giá) màu đỏ (giảm giá) sau đó được ẩn(có thể thay đổi trong cài đặt). Ngoài ra khi hiện thông số của ô như trên thì cột |✎\n\𝖙.𝖑𝖎𝖓𝖊| và |𝖙.𝖑𝖎𝖓𝖊\n\✐| sẽ hiển thị được số phần trăm tính từ khi điểm RSI phá vỡ đến RSI hiện tại(đóng cửa)
Cột |𝚍𝚒𝚟| là tín hiệu phân kì . Khi giá tạo đỉnh mới, đáy mới mà RSI báo tín hiệu là phân kì thì nó sẽ bắt đầu cơ số đếm từ số 1 tăng dần lên.Từ đây Trader sẽ biết được cặp giao dịch nào đang bắt đầu phân kì RSI. Ô màu xanh là phân kì tăng, ô màu đỏ là phân kì giảm
- Cột| 🆁🆂🅸 | là RSI hiện tại .{🟢} RSI trên mây , {🔴} RSI dưới mây , {⚪️} RSI trong mây(Mây của RSI cũng cho biết rất tốt vùng hỗ trợ, kháng cự của RSI)
- Có 5 chức năng cảnh báo trên chỉ báo này
- Thông số {20:2} là độ dài đường trendline RSI và kết hợp cùng thông số với chỉ báo "RSI - trendlines - div{vn}" khi phân tích
💥 Tổng kết:
Các phương pháp giao dịch với chỉ báo này:
+ Giao dịch khi có phân kì.
+ Giao dịch khi RSI tiếp cận đến đường xu hướng của nó(nó là đường hỗ trợ, kháng cự của RSI).
+ Giao dịch khi RSI phá vỡ đường xu hướng(trên hoặc dưới cách dứt khoát).
+ Giao dịch khi có phân kì sau đó qua vài nến, RSI phá vỡ qua đường xu hướng của nó báo hiệu tín hiệu vàng.
Lưu ý : Chỉ báo tạo được tối đa 40 cặp giao dịch, nên AE trader Việt cứ chọn tín hiệu siêu đẹp để vào lệnh nhé.
comm_idxThis script displays information about the components of the Goldman Sachs Commodity Index. The index is based on futures contracts in the categories of agricultural products, softs commodities, livestock, energies, industrial metals, and precious metals. The statistics displayed in the table are:
change: 1-day % change
from ma: the % change from a moving average
corr idx: correlation of the contract to the GSCI
The lengths for the moving average and correlation statistic can be set using the inputs.
See the script source for the symbols used for each commodity. Although most of the symbols correspond to the actual futures contract used to compute the index, LME contracts are not available on tradingview. Hence, corresponding HKEX contracts are used for the industrial metals.
Rails v2Centered around a Variable Moving Average (Rail Line). The Variable Moving Average (VMA) is a study that uses an Exponential Moving Average being able to automatically adjust its smoothing factor according to the market volatility.
In addition to the Rail Line or VMA, the indicator makes use of Bollinger Bands in two ways. First, it displays when the Bollinger Bands are in a squeeze and the potential direction of the breakout. The "squeeze" is the central concept of Bollinger Bands. When the bands come close together, constricting the moving average, it is called a squeeze. A squeeze signals a period of low volatility and is considered by traders to be a potential sign of future increased volatility and possible trading opportunities. The Bollinger Bands are also utilized to highlight when price action might reverse. This signals when price closes outside of the bands, quickly reverts and closes within the bands
The indicator makes use of the Hull Moving Average as a method to quickly capture price action moves thanks to its ability to eliminate lag while managing to improve smoothing at the same time.
Finally, the indicator utilizes Volume Point of Control (VPOC) to determine points in price where the highest amount of volume was traded. Unlike the market profile, the indicator will plot the Volume POC per candle. The script will also plot Trapped Volume. This is important as it tends to serve a signal for reversal. The more price moves away from the trapped volume, Long/Short traders might be forced to cover and price could quickly move away from the area.
DEFAULT SIGNALS: All signals can be turned Off/On by user
Dots = Short Term Trend
Rails Bar Color = Medium Term Trend
Rail Line (VMA) = Long Term Trend
Crossover of Moving Averages = X
Volume Pulse = Large Up/Down Triangle
Potential Bullish Reversal = Light Blue Candle
Potential Bearish Reversal = Pink Candle
Potential Reversal Confirmation = Orange Candle
Squeeze = Shaded White Cloud
Potential Breakout Direction = Small Golden Triangle
Hull Moving Average = Thin Golden Line
Volume POC = Thin Horizontal White Line on Candle
Volume Threshold POC = Thin Horizontal Yellow Line on Candle
Trapped Volume POC = Thin Horizontal Red Line on Candle
Trend Indicator with RSI and Fibbonacci Band 0.702 crossingsToday we have a new Indicator set, which I created using inspiration from the Trend Magic Indicator from KivancOzbilgic and adding several new aspects to it and a slightly modified calculation of the trend indicator itself.
You can change the inputs by changing the pre set values in the settings, but I found the current settings quite accurate. Feel free to experiment to fine tune the indicators.
Here are the details of the script:
Trend indicated within candles and as a line
- bullish and bearish trends are now also indicated within the candle based on the CCI calculation.
- Bullish is indicated by a green circle below the candle or as one may call it a "dot"
- bearish trend is indicated by a red circle above the candle
Entry Signal based on RSI crossing its EMA
- my motivation was to have a clearer entry signal besides highlighting a trend, which can not really be used to identify a good entry but to give confidence or when loosing trend to give an exit signal.
- after studiying the RSI and how it works together with its EMA it looks quite interesting as an entry or exit signal. But be cautios if the EMA and RSI values are moving in a narrow area we get a lot of crosses and therefore signals which should rather be ignored rather to be act on. So the the range where the cross happens is also quite important. But this aspect is not yet reflected as a rule/ logic.
But I am thinking of adding something.. or alternativly best to switch to another timeframe to get some better data
RSI overbought and oversold as Diamonds
- I also added key indications of oversold or overbought as Blue and Pink diamonds, can be considered as additional information to maybe identify a short term top or bottom.. but its not very accurate.
Entry signal based on crossing Fibbonachi Band 0.702
- So far the 0.702 seems to be quite an interesting retracement level which seems to be met a lot of times
- based on the assumption the price will evantually hit the 0.702 either direction I wanted to get a signal when this happens
- BUT! a big but, unfortunalty the Fibbonachi bands tend to bloat up in case of high volatility so it is not easy to find the crossing on higher timeframes
Here are the standard value which I found quite accurate for the assets I use this indicator set:
CCI Period = 5
ATR Multiplier = 1
ATR Period = 1
Source = High Low Close (hlc3 average value of the candle
Here the inputs used for the RSI Crossing signal (here you should play around a little to see which entry would have been best..)
RSI Length = 14
RSI Oversold = 25 (to be used for the "golden" entry signal based on the FBB crossing)
RSI Overbought = 80 (to be used for the "golden" entry signal based on the FBB crossing)
RSI Moving Average Length
In future versions I will add options to activate or deactive some of the plotting and espacially this golden dot when the fibbonachi band is being crossed needs some fine tuning..
And lets see if there is a way to fix the bloating of those bands..
Move Magnitude Visualizer (beta)This experimental visualizer measures all price differences across a range of samples to determine what is normal for a measure of time. Based on whether a recent change in price over time has exceeded the norm, a line is drawn to indicate the magnitude/severity of that move. In short, it attempts to visualize when a move is outside the norm and when it may be risky to join that move.
A thick red line = greater than 3 standard deviations.
An orangish/goldish line = greater than 2 standard deviations.
A thin dotted yellow = greater than 1 standard deviation.
In the end, I've always wanted a tool that gave me a visual warning to when a move is abnormally severe and shouldn't be trusted. RSI and other indicators only work with specific lengths, this attempt to be a deviation detector that isn't bound by length or time-frame.
This is a work in progress, so feedback is appreciated. I don't have a strong idea yet how to properly visualize this data.
It is very compute heavy and some users may experience timeouts. I've done everything I can think of to eliminate redundant computer and to optimize for PineScript.
PATIThis indicator is part of our educational suite focused on teaching price structure, momentum, and mean reversion trading strategies for intraday trading. Our team has selected this set of tools and metrics, which define our trading style and serve as the foundation for our teaching, to be included in this indicator. We are displaying each component in a way we believe is helpful to their understanding which also provides a clean, comprehensive look.
This indicator is for Intraday Trading
Our Traders most commonly use this indicator on the 1,3 or 5 minute chart.
Components of this Indicator:
Multiple VWAP Levels: monthly, weekly, standard (anchored to the right of price)
Dynamically Anchored VWAP Cloud (trend tool)
13 EMA (trend tool)
Structural Orderblocks
Multi-Timeframe Fair Value Gap detection
Key Daily Price Levels (anchored to the right of price)
Customizable Opening Range (anchored to the right of price)
15 minute “Golden Zone” (shows the .5-.618 zone of the previous 15m candle)
ADR (Average Daily Range)
A4R (Average 4hr Range)
These tools are used in conjunction with the education we provide to help our users determine their optimal trade plan to utilize their edge.
Specific Functionalities and Uses:
Monthly-VWAP & Weekly-VWAP (M-VWAP/W-VWAP):
VWAP = “Volume Weighted Average Price”
These levels provide probable zones where price may mean revert and risk should be taken off/ put on. We have anchored these to the right-hand side of your chart by default to minimize the noise on your chart.
Average Daily Range (ADR): The Average Daily Range is a technical indicator used to measure the volatility of an asset. It displays how much an instrument can move on average during a given day. The significance is that each market has a unique range that is likely to be covered on any given day.
Average 4hr Range (A4R): The Average 4hr Range is a technical indicator used to measure the volatility of an asset twice in a single session. It displays how much an instrument can move on average during a session and is measured twice in a day. Calculating a smaller volatility range may seem strange at first but can be a huge advantage by analyzing the volatility of the intraday action, giving you average price targets based on more recent market data.
Tip: When used in conjunction with key support and resistance levels, ADR & A4R can be a huge edge to traders to determine where to push/pull risk.
Opening Range: The open often establishes the trend and sentiment for the day, but there is also statistical significance to the open that is overlooked. Statistically, on average, the open is near the high or low of the day and offers plenty of opportunities to build trading strategies. The chart below provides some potential trades that could be taken once the opening range has been established.
Dynamically Anchored VWAP Cloud: Our dynamically anchored VWAP cloud tracks the most recent impulsive move and re-anchors to show you potential bounce points in a trend. We re-anchor at each structural shift to give the most probable targets for buyers/sellers to defend their positions to continue the current trend push.
By utilizing the re-anchoring at each significant structural inflection point, we can establish a much less lagging trend following technique.
We have also included the feature to substitute this cloud for a 34/55 EMA cloud for the traders already familiar with that system.
The chart below provides potential trades that could be taken using the VWAP cloud system.
FVGS (Fair Value Gaps/ Imbalances): These areas represent potential buy/sell side liquidity imbalances where price is pushed aggressively, sweeping the orderbook and will likely return to “fix” the structure before continuing. Below is an example of 3 possible trade paths we look for inside these structural imbalances.
Structural Orderblocks:
These areas are based on structural pivots that have been pushed out of with aggression determined by subsequent structural breaks to confirm their validity. Because of this, when price returns to these areas we can anticipate this area to be defended.
The blue boxes track Orderblocks. These highlight instances of past participation which create areas likely to be defended again when retested.
Swing High/Low/Previous:
We use swing high and lows as points of short-term support and resistance, a break of these levels can signify a shift in market sentiment.
-The dashed green line shows the previous structural swing high or low pivot point.
-The solid green lines show the high and low in our current trading structure.
Note: Displaying the previous swing can provide us with context of the current market trend, and will assist us make better decisions.
15 Minute Golden Zone:
Displayed as a gray box, it tracks the .5-.618 of the previous 15m candle and gives us an area where we look for short-term resistance/support on smaller time frame price action. This area can be viewed as an equilibrium of the current range. If the price can hold this area, it can show a likely support area for continuation.
13 EMA:
This is the choice length ema of our traders, they use this ema to confirm (short-term) trend direction and reference it for a common bounce point for re-entries. Our traders consider this as a crucial point to speculate reversals and break of short-term trends.
Note: Typically in a trend we see the price hold to one side of this ema, by looking for this characteristic, it brings confidence to staying in trades.
Please check the Author Instructions Below for how to gain access to our indicators.
RSI Overbought/Oversold + Divergence IndicatorDESCRIPTION:
This script combines the Relative Strength Index ( RSI ), Moving Average and Divergence indicator to make a better decision when to enter or exit a trade.
- The Moving Average line (MA) has been made hidden by default but enhanced with an RSIMA cloud.
- When the RSI is above the selected MA it turns into green and when the RSI is below the select MA it turns into red.
- When the RSI is moving into the Overbought or Oversold area, some highlighted areas will appear.
- When some divergences or hidden divergences are detected an extra indication will be highlighted.
- When the divergence appear in the Overbought or Oversold area the more weight it give to make a decision.
- The same color pallet has been used as the default candlestick colors so it looks familiar.
HOW TO USE:
The prerequisite is that we have some knowledge about the Elliot Wave Theory, the Fibonacci Retracement and the Fibonacci Extension tools.
Wave 1
(1) When we receive some buy signals we wait until we receive some extra indications.
(2) On the RSI Overbought/Oversold + Divergence Indicator we can see a Bullish Divergence and our RSI is changing from red to green ( RSI is higher then the MA).
(3) If we are getting here into the trade then we need to use a stop loss. We put our stop loss 1 a 2 pips just below the lowest wick. We also invest maximum 50% of the total amount we want to invest.
Wave 2
(4) Now we wait until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we do our second buy. We set again a stop loss just below the lowest wick (this is the yellow line on the chart). We also move the stop loss we have set in step (3) to this level.
Wave 3
(5) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(1) till the highest point of wave (1) and draw it back to the lowest point of wave (2). Wave (3) is most of the time the longest wave and can go till it has reached the 1.618 or 2.618 fib. On the 1.618 we can take some profit. If we don't want to sell we move our stop loss to the 1 fib line (yellow line on the chart).
(6) We wait until we see a clear reversal on the Overbought/Oversold + Divergence Indicator and sell 33% to 50% of our investment.
Wave 4
(7) Now we wait again until we see a clear reversal and here we starting to use the Fibonacci Retracement tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3). When we are retraced till the 0.618 fib also called the golden ratio we check again the RSI Overbought/Oversold + Divergence Indicator. When we see a reversal we buy again. We set again a stop loss just below the lowest wick (this is the yellow line on the chart).
(8) If we bought at the first reversal ours stop los was triggered (9) and we got out of the trade.
(9) If we did not bought at step (7) because our candle did not hit the 0.618 fib or we got stopped out of the trade we buy again at the reversal.
Wave 5
(10) To identify how far the uptrend can go we need to use the Fibonacci Extension tool. We draw a line from the lowest point of wave(2) till the highest point of wave (3) and draw it back to the lowest point of wave (4). Most of the time wave 5 goes up till it has reached the 1 fib. And that is the point where we got out of the trade with all of our investment. In this trade we got out of the trade a bit earlier. We received the sell signals and got a reversal on the Overbought/Oversold + Divergence Indicator.
We are hoping you learned something so you can make better decisions when to get into or out of a trade.
If you have any question just drop it into the comments below.
FEATURES:
• You can show/hide the RSI .
• You can show/hide the MA.
• You can show/hide the lRSIMA cloud.
• You can show/hide the Stoch RSI cloud.
• You can show/hide and adjust the Overbought and Oversold zones.
• You can show/hide and adjust the Overbought Extended and Oversold Extended zones.
• You can show/hide the Overbought and Oversold highlighted zones.
• Etc...
HOW TO GET ACCESS TO THE SCRIPT:
• Favorite the script and add it to your chart.
REMARKS:
• This advice is NOT financial advice.
• We do not provide personal investment advice and we are not a qualified licensed investment advisor.
• All information found here, including any ideas, opinions, views, predictions, forecasts, commentaries, suggestions, or stock picks, expressed or implied herein, are for informational, entertainment or educational purposes only and should not be construed as personal investment advice.
• We will not and cannot be held liable for any actions you take as a result of anything you read here.
• We only provide this information to help you make a better decision.
• While the information provided is believed to be accurate, it may include errors or inaccuracies.
Good Luck and have fun,
The CryptoSignalScanner Team
Trend Movement S1-TMIdea:
This script combines: Moving Average (MA), Directional Movement (DMI), MACD
When condition of long or short position from all mentioned indicator are met script opens position. Once trend changes, it closes the position.
Then add some filter conditions to avoid noise.
Concept:
(Note that we take the close to get the closing price)
-Using only cross up down with MA will give a reversal point, but the downside is that it can be noisy.
-MACD will show the current trend detected by cross point.
-Then the +DI , -DI , ADX values are taken into account to confirm the price direction and movement strength.
-This strategy solves this problem by combining 2 more moving averages called 2 trend lines 1 long and 1 short. When the short line crosses up, it will show that the price trend is increasing (at this time the background between these 2 lines will be green) and vice versa (red). To determine if the current trend is bullish or bearish . This will avoid buying when price tend to go down.
-However, there will be many points where some more complex logic is needed. It will add conditions and calculate the probabilities before triggering the signals (You can see them through the item symbols B1, B2, ... ).
How it works:
1. The thin line is stand for short term moving average, and the thick line is stand for long term moving average.
If thin lines cross the thick lines, their color and background will turn green, the price is tend to go up (Uptrend).
If thin lines cross down thick lines, their color and background will turn red, the price is tend to go down (Downtrend).
2. Ability to check the checkbox in setting to show the Golden/De*ath cross.
The yellow symbol "+" is the Golden cross.
The black symbol "+" is the De*th cross.
3. Buy and Sell are show clearly on strategy as the buy and sell point. The default source from bar is CLOSE
4. Setting "Buy only" it using for spot market.
5. When "Not buy in down trend" is checked, it will not trigger buy when in down trend (thin lines cross down thick lines like description in 1.)
6. Setting High spread will call Close buy when it match the High spread bar with the High spread % value
7. It provides setting "Back test From date/To date" for backtest feature. You can set "BacktestFrom date" as the begin of test period. If check box "Using To Date" is check: "Backtest To Date" will be the end of test period.
Suitable time frames:
4h, 1D, 1W
* Please note that this logic does not attempt to predict future prices or 100% accurate signal; Strategy Tester are available to test the profitability of this strategy.
(INVITE ONLY indicator. Please direct message or visit website to try it out)
Hope you guys enjoy!
Examples:
BTCUSD 4H
TSLA 4H
Visible Fibonacci█ OVERVIEW
This indicator displays Fibonacci retracement and extension levels on the price chart using data within the chart's visible range, providing traders with an automated alternative to our well-known drawing tool .
█ CONCEPTS
Fibonacci sequence and the Golden ratio
The Fibonacci sequence is a sequence of numbers where each term is the sum of the previous two terms. In his book Liber Abaci , Fibonacci used this sequence to estimate the growth of rabbit populations. Although most commonly associated with Fibonacci, this numeric sequence appeared in Indian mathematics as early as 200 BC. As this sequence approaches infinity, the ratio of the last element to the preceding approaches the Golden ratio (1.618033...), a well-known metallic ratio theoretically observed in many natural and synthetic systems. Many traders believe that the Fibonacci sequence and the Golden ratio carry significance in the financial markets.
Fibonacci retracements and extensions
Fibonacci retracements and extensions are extremely popular in technical analysis. They are created by connecting two extreme points, typically pivot points, by a trend line and multiplying the range between them by the ratios of steps in the Fibonacci sequence, or more precisely, powers of the Golden Ratio, to produce estimated levels of support and resistance. The ratios used for retracement multipliers are typically the Golden ratio raised to the power of 0, -0.5, -1, -2, and -3, or 1, 0.786, 0.618, 0.382, and 0.236, respectively. It is also common to see traders use a retracement ratio of 0.5. The ratios used for extension multipliers are typically the Golden ratio raised to the power of 0.5, 1, 2, and 3, or 1.272, 1.618, 2.618, and 4.236, respectively. Traders often combine these retracement and extension ratios with others they deem significant for a more personalized output.
Zig Zag
Zig Zag is a popular indicator that filters out minor price fluctuations to denoise data and emphasize trends. Traders commonly use Zig Zag for trend confirmation, identifying potential support and resistance, and pattern detection. It is formed by identifying significant local high and low points in alternating order and connecting them with straight lines, omitting all other data points from their output. There are several ways to calculate the Zig Zag's data points and the conditions by which its direction changes. This script uses the highest and lowest values over a specified length to estimate the locations of pivots. The Zig Zag reverses its direction when a new high or low emerges in the opposite direction. Additionally, enabling the "Detect additional pivots" option in the script settings will locate extra pivots when the number of bars in which no new pivot occurs exceeds the Zig Zag length.
Visible Fibonacci
This script uses the chart's visible bars to calculate and display an automated Fibonacci retracement tool with extreme points based on either of two calculation methods:
• Visible Chart Range: This method uses the highest and lowest points from the visible chart range for Fibonacci level calculation.
• Visible Zig Zag: This method uses historical pivots from a Zig Zag indicator for level calculation. The "nth Last Pivot" input in the script settings controls how many pivots back from the last visible one will be used to calculate the Fibonacci levels.
As traders pan and zoom on their charts, the script dynamically recalculates its values explicitly using the bars within the visible range.
Note that levels drawn outside the range between the high and low points may affect the scale of the chart. To prevent this, select the "Scale price chart only" option in the chart settings.
█ FOR Pine Script™ CODERS
• This script utilizes functions from the VisibleChart library by our resident PineCoders . The library exploits the chart.left_visible_bar_time and chart.right_visible_bar_time variables, which return the opening time of the leftmost and rightmost bars on the chart. They are only two of many new built-ins in the `chart.*` namespace. See this blog post for more information, or look them up by typing "chart." in the Pine Script™ Reference Manual .
• This script's architecture utilizes user-defined types (UDTs) to create custom objects which are the equivalent of variables containing multiple parts, each able to hold independent values of different types . The recently added feature was announced in this blog post.
Look first. Then leap.
Seasonal tendency: week-on-week % change and 10yr Averages-shows week-on-week % change, and 10yr averages of these % changes
-scan across the 10yr averages to get a good idea of the seasonality of an asset
-best used on commodities with strong seasonal tendencies (Gold, Wheat, Coffee, Lean hogs etc)
-works only on daily timeframe
-by default it will compare SMA(length) in the following way, BTC: Sunday cf previous Sunday | ES/Gold: Monday cf previous Monday
-for most assets, 5 daily bars in a week (SMA(5)) => that's the default. For BTC can change this to 7.
~~inputs:
-change input year to show any previous decade of asset's history; the table will display over that year on the chart
-choose expression for Average of % change week on week: SMA, ohlc4, vwma, vwap (default SMA)
-choose number of daily bars in a week (i.e. SMA length)
-change label sizes/colors
~~notes:
-When applied to current year: will print the 10yr average for previous weeks in the year; 9yr average for future weeks in the year
-drawings and SMA plot on the above chart are just to show visually how the week's average is calculated, and how this lines up with the label
-current week of year will highlight in large font orange by default
-the first 2 weeks of the year are omitted because of a bug i can't figure out, which throws out bad numbers.
-cannot print all the values for each of previous 10yrs; 'code too long' error. Could likely do this via using matrices but would require a rewrite
17th Dec 2022
@twingall
I_MACD#I_MACD #Version_1_0_3
Hello Traders from all over the world! Today I would like to share a cool customizing tool our team recently has made. If you have ever used MACD or any other seemingly indicators that visualize the degree of converging/diverging of any two values, you are very lucky today. This one should be one of the most optimal tools for you guys that enables you to customize your own CD indicator perfectly fitted for your trading styles. Moreover, you can even set up optimized parameters for each different trading commodities or products.
There is no doubt that MACD (Moving Average Convergence Divergence) is one of the most popular indicators currently in trading world along with RSI and Stochastic. Google and old textbooks say that MACD is a technical indicator that helps you identify market trends and potential trend reversal point. Well, which existing indicators doesn’t? The problem is, how well the indicator reflects the market trends with least amount of lagging. We want to use an indicator that can provide best-fitted trend data as early as possible.
Anyway, this indicator is made of 3 different components: MACD line, a signal line, and an oscillator, which is usually plotted with histogram. MACD line is basically the level of difference between two EMAs, 12 and 26 (default settings). In other words, MACD Line visualizes the amount of gap between 12 and 26 EMA.
- When bullish, 12 EMA would be above 26 EMA and as the trend becomes more bullish, they will diverge more and MACD line would be positive (above the base line).
- When bearish, 12 EMA would be below 26 EMA and as the trend becomes more bearish, they will diverge more and MACD line would be negative (below the base line).
MACD Line = (Faster, sensitive) EMA – (Slower, dull) EMA = 12 EMA – 26 EMA
Then you add another EMA on the MACD line itself which then becomes a signal line. The default length of the signal line is 9. In other words, Signal line is a 9 EMA of the difference level between 26 and 12 EMA. Now the difference between Signal line and MACD line are called oscillator usually plotted with histograms.
- When MACD line is above the Signal Line, histogram would face upward (Positive Side)
- When MACD line is below the Signal Line, histogram would face downward (Negative Side)
Signal Line = 9 EMA of MACD Line
Two meaningful signals should be monitored to effectively spot the trend reversal point.
1. Pay attention to the crossover made by the two lines. Higher the golden-cross and the lower the death-cross is located, more weights added on the possibility of trend reverse. I personally ignore most of the crossovers signaled near the base line.
2. Search for the histogram peak outs. When two lines start to converge (heading towards each other), histogram will leave a significant peak and approach towards baseline meaning that the oscillator started to lose its strength.
Remember, both the signals (lines’ crossovers and histogram peak outs) are more reliable and meaningful as they are located farther away from the baseline.
As mentioned, the default parameters for MACD are 12, 26, and 9. The first two numbers are the lengths of prices’ moving averages that are used to compute MACD line. 9 is length of signal line. Furthermore, the types of moving averages and signal line used in this setting provided by Tradingview are EMAs (Exponential moving averages). Therefore, the proper way to express the default setting of MACD would be 12, 26, 9, EMA, EMA.
I have a question for you MACD users. How is MACD doing lately? Are you fully satisfied with the performance? Some might say yes, but most wouldn’t. Well, I personally believe that the default parameters are bit outdated. It surely was a powerful weapon 50 years ago when MACD was just created by Gerald Appel and only few knew how to use it. Things are different now. We have witnessed so many cases where everyone starts to all use the same types and parameters of indicators, techniques, and theories which eventually drops accuracy and preciseness. Come on, we are not living in fairy tales, instead in an extremely competitive world called capitalism where only a few survives.
As we are already aware, this market keeps changing over time. Encountering various patterns, price actions, wave structures, and trend flows that are unfamiliar and untraditional, traders easily get frustrated. Market is not like it used to be in the old days where trading was much easier. What worked yesterday doesn’t anymore work today and not even tomorrow. Such evidences we see every day are broadening channel, stoploss hunting, Bart Simpson, whipsaw, and bull/bear trap were once considered as rare phenomenon.
I_MACD might be useful tool for you to back/forward test to find the optimized types and parameters of the CD indicator just fitted for your unique trading styles and preferences. There are infinite number of combinations of types and parameters within this indicator you can try. For example, not only the lengths of the moving averages, but different types of technical indicators to compute the CD lines can also be tested. Try all the possible combinations of parameters and if you find a good one, please share it with us on the comment section below! I will also let you guys know if I do. In fact, the default settings, ohlc4, 60, 140, 30 EMA, EMA, are one of many that I have found useful.
Furthermore, for your convenience when testing, we added a few side features as listed below. You can turn these on and off according to your preferences and circumstances.
1. Crossovers of MACD and Signal line: Death-crosses above the baseline and golden-crosses below the baseline will be spotted with a vertical line.
2. Divergence Sensitivity: This feature finds out both the regular and hidden divergences of MACD line. Higher sensitivity searches for the divergences within the waves of the larger degree and vice versa for the lower sensitivity.
3. Histogram Peak out: Triangle signals will appear when oscillator peak outs are possibility assumed in advance. Similarly, as the first feature positive peak outs are searched only when MACD line is positive and vice versa for the negative peak outs.
We all know there is no ‘Perfect’ method in this industry other than becoming Elon Musk, but there surely are ‘Better’ methods. Contemporary traders should track and reflect trends of the latest market on developing their methods. In order to process that task, testing and experimenting new and different techniques through insightful ways is required. I_MACD might be the ‘Perfect’ tool for you to be a ‘Better’ trader. Thanks for reading.
#아이맥디 #I_MACD #Version_1_0_3
안녕하세요. 트레이더 여러분. 토미입니다.
오늘은 MACD와 같은 CD(Convergence Divergence)류의 보조지표를 써 보신 분들이 정말 좋아하실 만한 지표 툴 하나를 소개 드리겠습니다. 이름하여 I_MACD! 아무나 자유롭게 사용하실 수 있습니다. 여러분의 트레이딩 성향, 종목 특성, 타임 프레임, 현대 시장 상황, 그리고 요즘 여러분이 생각하는 차트 흐름에 딱 맞는 지표를 만들고 사용해보세요.
MACD는 딱 두가지 신호만 주목하시면 됩니다. 첫번째 신호는 MACD선과 Signal선, 이 두 곡선이 서로 크로스 할 때, 즉 오실레이터가 양에서 음으로 혹은 음에서 양으로 변환되는 시점입니다. 두번째 신호는 오실레이터가 고/저점(Peak out)을 찍고 변곡이 시작되는 시점입니다. 이 외에 제가 전 다이버전스 강의에서 언급 드렸듯 두 곡선과 히스토그램의 다이버전스 역시 참고해볼 수 있습니다.
흔히 쓰이는 MACD의 기본(디폴트) 설정 값은 12, 26, 9이며 현재 트레이딩뷰에서 제공하는 MACD의 두 이평선, 즉 MACD선을 도출할 때 사용되는 주가의 12와 26 이평선의 종류는 EMA(Exponential Moving Average)입니다. 또한 저 설정 값에서 9는 Signal선의 길이를 의미하며 본 이평선 종류 역시 EMA입니다.
MACD는 제럴드 아펠이라는 아저씨가 1970년대에 개발한 지표입니다. 하지만 여러분들도 알다시피 현대 금융 시장은 50년 전과 많이 다릅니다. 세상은 점점 더 빠르고 예측불가하게 변하고 있으며 금융 시장도 예외는 아닙니다. 기술적분석 관점으로도 이전에는 흔히 나오지 않았던 패턴, 경향성, 규칙, 그리고 흐름들이 지금은 비일비재하게 나오고 있습니다. 이쪽 시장은 정해진 답안지가 없으며 시시각각 변하는 시장에 맞게 우리가 참고하는 기법과 전략들을 항상 업데이트해줄 필요가 있습니다.
MACD 역시 모든 사람들이 사용하는 12, 26, 9, EMA, EMA 보다 더 나은 설정 값이 분명 존재할 겁니다. 그래서 저희 팀은 여러분들이 CD지표의 파라미터 값과 곡선 산출법을 변경하여 더 요즘 시장에 그리고 여러분 트레이딩 성향에 최적화된 지표로 만들어 사용할 수 있는 툴을 만들어봤습니다. 두 곡선과 Signal 선의 길이는 물론이고 타 이평선들을 포함 RSI, OBV, CCI, MFI 등과 같은 다른 종류의 지표로도 CD선을 구할 수 있게끔 해 놨습니다.
예를 들어 조금 더 장기적인 추세를 반영하는 MACD를 만들고 싶다면 12, 26이 아니라 50, 100의 길이를 사용해볼 수도 있고 이평선의 민감도를 조절하고 싶다면 EMA가 아닌 HMA나 RMA 같은 종류로 설정해볼 수도 있습니다. 또한 이평선이 아니라 아예 다른 지표들을 가지고 MACD화(정확히 말하면 CD화죠) 시켜볼 수도 있습니다. 저도 이것저것 시도 중인데 꽤 흥미로운 셋팅 값들이 보이네요. 참고로 디폴트로 설정해 놓은 시고저종/4, 60, 140, 30, EMA, EMA 조합도 제가 현재 테스트하고 있는 나쁘지 않은 값입니다. 여러분들도 괜찮은 설정 값들을 찾으면 혼자만 쓰지 마시고 댓글에 공유 좀 부탁드립니다~
또한 주요 시그널들을 쉽게 잡아낼 수 있게 아래와 같이 몇 가지 자동 기능들을 추가했습니다. 여러분들의 편의와 상황에 따라 사용하셔도 되고 거슬리면 끄셔도 됩니다.
1. MACD선과 Signal선의 크로스: 기준선 위에선 데드크로스, 아래에선 골든크로스를 표시해줍니다.
2. 다이버전스 민감도: MACD선의 다이버전스 출현 여부를 알려줍니다. 다이버전스 민감도를 내릴수록 더 작은 (단기) 단위 파동들의, 올릴수록 더 큰 (장기) 단위의 파동들의 다이버전스를 잡습니다.
3. 히스토그램 피크 아웃: MACD선이 기준선 위에 있을 때는 양, 아래에 있을 때는 음 히스토그램의 변곡점으로 의심되는 곳을 표기해줍니다.
제가 매번 강조 드리지만 지표는 보조로만 참고하는 도구이며 절대적으로 다 맞는 지표, 이론, 그리고 방법론은 세상에 존재하지 않습니다. 시장 상황에 따라 적절히 활용하고 본인이 사용하는 기술적분석 기법들 조합의 일부로 참고만 하시는 게 좋습니다.
[blackcat] L3 YACD38Level 3
Background
"3/8 moving average" golden cross enters, and dead cross exits.
Function
This set of methods is an improved moving average usage - "38 moving average usage", we need to use three moving averages:
3-day, 8-day and 21-day moving averages.
Why is it the 3-day, 8-day, and 21-day moving averages? Most of my friends may not be clear. 3, 8, and 21 are all Fibonacci numbers, also known as the golden section numbers. The Fibonacci number is a basic pattern of nature, which exists in all things. If you don’t understand it, you can go to a certain degree to understand it. In short, it is a very magical existence.
Keep in mind the principle of only doing uptrends and not downtrends. Then we have to use our 21-day moving average skillfully. The 21-day moving average happens to be the average price line for one month. We take it as the decision-making line. When the decision-making line goes down or goes flat, we mainly wait and see; , the operation success rate is higher!
Let's directly share the technical points of "38 moving average usage":
1. Entry point: the 3-day line crosses the 8-day line to form a golden cross, or both the 3-day and 8-day line cross the 21-day moving average; the position of the golden cross must be above the 21-day moving average, and it is invalid if it is below;
2. Basis for holding shares: After entering the market, the moving averages are arranged in a long position, and the K-line rises along the 3-day and 8-day moving averages, hold it patiently, and sell for whatever reason you buy!
3. Exit point: When the 3-day moving average crosses the 8-day moving average to form a dead cross, or the 3-day and 8-day moving averages break below the 21-day moving average, then decisively leave the market;
Note: "38 moving average usage" only needs to refer to the moving average, and the other most reference quantities can be changed. As long as the above conditions are met, you can boldly intervene, and after the intervention, you will rise to the top! Don't underestimate the usage of this set of moving averages, carefully comprehend and memorize them by heart, and be able to achieve the unity of knowledge and action, and you will be able to stand up and be the master from now on!
Remarks
Feedbacks are appreciated.
Ghost Ninja Moving Average by HassonyaThe Ghost Ninja Moving Average indicator contains three ema averages. These are ema 21, ema 55 and ema 233.
The values of the averages appearing on the screen are adjusted according to their own lengths. If you want, you can change the settings from the "Numbers of bars back" setting.
The 1st moving average (EMA-21) will follow the price and will disappear if the price is above it. It will only appear where needed.
The 2nd moving average (EMA-55) will be red if not orange when EMA-21 is greater than EMA-55.
The 3rd moving average (EMA-233) will appear if EMA-55 is greater than it, otherwise it will not.
The system will also display Golden and Death crosses.
I hope you will be satisfied using it. Yours sincerely. Happy Trading
TÜRKÇE AÇIKLAMA
Ghost Ninja Hareketli Ortalama indikatörü, üç adet ema ortalaması barındırıyor. Bunlar ema 21, ema 55 ve ema 233 tür.
Ortalamaların ekranda gözükme değerleri, kendi uzunluklarına göre ayarlanmıştır. İsterseniz ayarları "Numbers of bars back" ayarından değiştirebilirsiniz.
1nci hareketli ortalama olan (EMA-21), fiyatı izleyerek eğer fiyat onun üzerindeyse gözükecek değilse yok olacak. Sadece gerektiği yerlerde gözükecek.
2nci hareketli ortalama(EMA-55), EMA-21 EMA-55'ten büyük olduğunda turuncu değilse kırmızı olacak.
3ncü hareketli ortalama(EMA-233), Eğer EMA-55 ondan büyükse gözükecek yoksa gözükmeyecek.
Sistem aynı zamanda Golden ve Death crossları da gösterecek.
Güle güle kullanın. Bereket bulun. Sevgiler
MPI(only signal)I have removed the MACD and Parabolic SAR displays used in the calculations from my work, MPI, and changed them to show only buy/sell signals.
There is no difference from the previously posted MPI other than the appearance, including the alerts.
Please use whichever looks better.
In case you are interested, I will post the same description again as the MPI I posted last time.
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This indicator is used to make trading decisions for ETFs and mutual funds ( TQQQ , QLD , SPXL , etc.) that are leveraged to stock indices.
It displays buy and sell signals and sends notifications when both MACD and Parabolic SAR give trend reversal signals.
Specifically, the following cases are considered as buy/sell signals.
Buy signal
-When Parabolic SAR shows a buy signal after MACD has made a golden cross
-When MACD shows a golden cross after Parabolic SAR shows a buy signal
Sell signal
-When Parabolic SAR shows a sell signal after MACD has made a dead cross
-When MACD shows a dead cross after Parabolic SAR shows a sell signal
Apply this indicator to the underlying index of the leveraged ETF ( NDX for TQQQ and QLD ) and trade the leveraged ETF using the buy or sell signal on the underlying index.
Note that the stocks to which you apply this indicator and make trading decisions are different from the stocks that you actually trade.
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私の作品であるMPIから計算に使用しているMACDとパラボリックSARの表示を取り除き、売買シグナルのみ表示するように変更しました。
アラートを含め、見た目以外に前回投稿したMPIとの違いはありません。
どちらか見た目が好きな方を使ってください。
興味のある方向けに、前回投稿したMPIと同じ説明文を再度掲載します。
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株価指数にレバレッジをかけたETFや投資信託( TQQQ , QLD , SPXL など)の売買判断をするためのインジケーターです。
MACDとパラボリックSARの両方でトレンド転換シグナルが出たところで売買シグナルを表示し、通知を送ります。
具体的には以下のような場合を売買シグナルとします。
買いシグナル
・MACDがゴールデンクロスした後、パラボリックSARが買いシグナルを示したとき
・パラボリックSARが買いシグナルを示した後、MACDがゴールデンクロスしたとき
売りシグナル
・MACDがデッドクロスした後、パラボリックSARが売りシグナルを示したとき
・パラボリックSARが売りシグナルを示した後、MACDがデッドクロスしたとき
このインジケーターをレバレッジETFの元指数( TQQQ , QLD ならば NDX )に適用し、元指数での売買シグナルでレバレッジETFを売買してください。
このインジケーターを適用し売買判断を行う銘柄と実際に売買する銘柄が違うことに注意してください。
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MPI(Monthly MACD & Parabolic Investment Indicator)This indicator is used to make trading decisions for ETFs and mutual funds (TQQQ, QLD, SPXL, etc.) that are leveraged to stock indices.
It displays buy and sell signals and sends notifications when both MACD and Parabolic SAR give trend reversal signals.
Specifically, the following cases are considered as buy/sell signals.
Buy signal
-When Parabolic SAR shows a buy signal after MACD has made a golden cross
-When MACD shows a golden cross after Parabolic SAR shows a buy signal
Sell signal
-When Parabolic SAR shows a sell signal after MACD has made a dead cross
-When MACD shows a dead cross after Parabolic SAR shows a sell signal
Apply this indicator to the underlying index of the leveraged ETF ( NDX for TQQQ and QLD ) and trade the leveraged ETF using the buy or sell signal on the underlying index.
Note that the stocks to which you apply this indicator and make trading decisions are different from the stocks that you actually trade.
株価指数にレバレッジをかけたETFや投資信託( TQQQ , QLD , SPXL など)の売買判断をするためのインジケーターです。
MACDとパラボリックSARの両方でトレンド転換シグナルが出たところで売買シグナルを表示し、通知を送ります。
具体的には以下のような場合を売買シグナルとします。
買いシグナル
・MACDがゴールデンクロスした後、パラボリックSARが買いシグナルを示したとき
・パラボリックSARが買いシグナルを示した後、MACDがゴールデンクロスしたとき
売りシグナル
・MACDがデッドクロスした後、パラボリックSARが売りシグナルを示したとき
・パラボリックSARが売りシグナルを示した後、MACDがデッドクロスしたとき
このインジケーターをレバレッジETFの元指数( TQQQ , QLD ならば NDX )に適用し、元指数での売買シグナルでレバレッジETFを売買してください。
このインジケーターを適用し売買判断を行う銘柄と実際に売買する銘柄が違うことに注意してください。
[blackcat] L1 Slope OscillatorLevel 1
Background
This technical indicator can judge the upside potential of individual stocks based on the slope
Function
This technical indicator determines whether the trend continues or reverses by defining a fast slope and a slow slope. If it shows a golden cross to buy at a low level, a dead cross to sell. It can be combined with other types of fast technical indicators to determine the resonance of buying and selling points. The premise of buying stocks is that this indicator has a golden cross and the individual stocks are trending upwards.
Remarks
Feedbacks are appreciated.
Quantitative Kernel DelimiterQuantitative Kernel Delimiter QKD - aka "Fire and ICE" - is a six-level multiple Kernel regression estimator with cross-timeframe semi-coordinated delimiters (bands) enabled by mathematical validation to our own Kernel regression code with historical Kernel formulas having custom variable bandwidths , mults , and window width – all achieving an advanced alerting system and directional price-action pointers for Novice, Intermediate and Advanced Traders within the TradingView Graphical User Interface.
In the course of our work, we have found that such six delimiters are ideal for generating signals of varying strengths.
99.9% of observations should be in our delimiters' range:
Kernel regression is a nonparametric smoothing method for data modeling.
Kernel regression of statistics was derived independently by Nadaraya and Watson in 1964 with a mathematical foundation given by Parzen’s earlier work on kernel density estimation.
If you are interested in reading more about the mathematical basis of this method from which our code is derived, you can follow these scholarly links:
Expert Trading Systems: Modeling Financial Markets with Kernel Regression
Estimation of the bandwidth parameter in Nadaraya-Watson
Adaptive optimal kernel density estimation for directional data
How kernel regression differs from the other Moving Averages?
In most MA's data points in the specified lookback window are weighted equally. In contrast, the Gaussian Kernel function used in this indicator assigns a higher weight to data points that are closer to the current point. This means that the indicator will react more quickly to changes in the market.
Regression method from which our code is derived is a widely known formula that is laid out in many sources, we used this source:
Kernel regression estimation
Kernel
During the regression counting process, a `kernel function` is used, which is traditionally chosen from a wide variety of symmetric functions.
In this indicator, we use the Gaussian density of statistics as the kernel function.
The Gaussian Kernel is one of the most commonly used Kernel functions and is used extensively in many Machine Learning algorithms due to its general applicability across a wide variety of datasets.
The kernel regression averages all the data contained within the range of the kernel function.
The effective range of the kernel function is defined by its window width .
Kernel Delimiters (Bands / Levels)
This indicator has 6 tailored price range* delimiters:
Cold / Fire - the furthest delimiters. In a range market when the price enters the cold/fire zones it is assumed that it has deviated strongly from the average and there is a high probability that it will immediately return to the average, or at least into the underlying zone, also in a trending market it signals a change in trend.
ALERT: the indicator performs best during relatively sideways price action within an established range. The trader must check higher timeframes during hits on the extreme Cold or Fire delimiter bands as a break in the lower, or even higher timeframe price range may result in a need to reset the regression calculation once price velocity calms down after a major move allowing the indicator to best function again. The reset will be done automatically by the indicator’s code. The indicator is not intended for use with unusually aggressive pricing behavior. Always beware of extreme market conditions. The indicator is intended as an ordinary range trading tool.
Gold / Green - we call it the middle ground / golden mean / happy medium zone. When the price comes out here but the momentum is not enough to get to the higher zone we consider it a good signal.
Pro - most often we receive signals in this area. We call it the professional zone because it is literally the zone for professional traders who know what they are dealing with.
*NOTE: the indicator is intended to be used as a range trading tool, and does not protect against total BREAKS from one Range to a new Range, wherein the bands reset for the trader.
Alerts / Labels
We have spent a lot of time implementing and testing signal labels* and alerts**.
Now you have access to an advanced alert system.
*NOTE: DUE TO the ongoing regression calculations performed by our code, the trader will note that a label may change color at a later point in time, or even soon after the hit on the quantitative delimiter band in question. This is a process that was reviewed and is favored to achieve visual clarity over historical accuracy for the trader. Real-time trading hits of price line to band, along with alerts generated, remain accurate. We look forward to receiving feedback on this issue from the end users. Additional revisions by our team on this matter are anticipated if a harmony between visual clarity and historical accuracy is not satisfied.
**NOTE: Smaller and especially micro timeframes will result in more repeated alerts given the tight proximity with price vis-à-vis the quantitative delimiter. Larger timeframes tend to eliminate any issue with repeated alerts aside from obvious re-contacting of the quantitative delimiter by the active price line.
You can turn off alerts you don't need in the indicator settings.
All alerts are set with one click.
Themes
Different people like different things, which is why we decided to make several visual design themes so you can choose what suits you.
Themes will continue to evolve over time.
Pro Theme:
Modern Theme:
How to remove colored text labels next to price scale to maximize screen space on mobile:
Go to General Chart Settings :
Click on “SCALES”
Un select “Indicators and financial name.”
Dynamic Mode
Projection of Indicator bands on history is subject to repainting due to its regressive calculation nature. Be cautious: old signals are drawn once at the first loading of the chart and by default (to speed up the start-up time of the indicator) correspond to the current regression levels. All labels remain in their places as the chart progresses. Also new, real-time labels appear on the chart, and do not disappear. In order to display the old signals on the chart as they were at the time of their appearance, uncheck the "History labels transition" in the indicator settings (it may increase the initial loading time of the chart but will give you an opportunity to check the alerts you received before and may also be useful for visual backtesting).
Because of the very nature of modeling financial markets (i.e., thousands of data records and perhaps hundreds of candidate predictors), the need for computational speed is paramount.
The use of kernel regression in data modeling for the types of problems associated with financial markets requires careful consideration of computational time.
Once we acknowledge that the order of the data is important, then the choice of the learning-data-set becomes crucial. The time dimension introduces another level of complexity to the analysis: how much importance do we attach to recent data records as opposed to earlier records? Is there a simple way to take this effect into consideration? Common sense leads us to the basic conclusion that if we are to predict a value of Y at a given time, we should only use learning data from an earlier time. But this procedure tends to be overly restrictive. This problem has a simple solution: All that one must do is to make the learning data set dynamic . In other words, once a record has been tested, it is then available for updating the learning data set prior to testing the next record. The analyst can allow the learning data set to grow, or, alternatively, for each record added, the earliest remaining record in the learning set can be discarded. These two alternatives have led us to the necessity of using moving window option and adding a disclaimer that dynamic mode is enabled.
This indicator will be updated frequently based on community feedback see the Author’s instructions below to get instant access
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Liability Disclaimer
Never fully rely on one indicator as you trade. Successful trading may require an orchestral mindset and harmonіc blend of trading tools, know-how, and devices. VIP Trader . com is not responsible for any damages or losses incurred by use or misused of this indicator. Neither this description above, nor the indicator, is intended to be used as financial advisory tool, nor to be used without proper education or training in the field of trading.
Supertrend GoldSignalThis indicator is a combination of two atr with numbers 1.6 and 0.8
The signals that are displayed on the chart are the points where both atr signaled at the same time (if distance = 0).
-The atr1 check box is only for displaying atr signals with the number 1.6. You can choose the atr1 number in the slow multiplier section.
-The atr2 check box is only for displaying atr signals with a number of 0.8. You can select the number of atr2 in the fast multiplier section.
-Note: If the atr1 and atr2 checkboxes are off, only simultaneous signals will be displayed on the chart (that is, points where atr1 and atr2 signaled at the same time).
-In the distance section, you can specify the distance between the atr1 and atr2 signals, if it is zero, it means that the atr1 and atr2 signals must be given on the same candle.
For example, if the value of distance is 5, it means that atr1 and atr2 signals can have a distance of 5 candles.
-The filter check box is for filtering signals using boxes 9, 26 and 52 in Ichimoku.
At the points where we have signals, boxes of 9 candles, 26 candles and 52 candles are drawn, and for long signals, the bottom of the boxes must be equal, and for short signals, the top of the boxes must be equal,Signals that do not meet this condition are removed.
