Prevailing Trend IndicatorOVERVIEW
The Prevailing Trend indicator is a technical indicator that gauges whether the price is currently trending up or down. The purpose of this indicator is to call and/or filter with-trend signals.
CONCEPTS
This indicator assists traders in identifying high-probability trend entries. The upper line (blue line on the indicator) is calculated by taking the average range (high-low) of all bullish candles. The lower line (red line on the indicator) is calculated by taking the average range of all bearish candles. When these two lines intersect and cross each other, a buy and sell signal is generated. For example, if the blue line crosses over the red line, this indicates that the average size of all bullish bars are larger than the average size of all bearish bars. This is a good sign that an uptrend might occur. Vice versa for downtrends.
HOW DO I READ THIS INDICATOR
As an entry indicator:
When the blue line crosses over the red line, go long.
When the red line crosses over the blue line, go short.
As a signal filter:
If the blue line is above the red line, only take long trades.
If the red line is above the blue line, only take short trades.
Trend-reversal
Trend Reversal Probability CalculatorThe "Trend Reversal Probability Calculator" is a TradingView indicator that calculates the probability of a trend reversal based on the crossover of multiple moving averages and the rate of change (ROC) of their slopes. This indicator is designed to help traders identify potential trend reversals by providing signals when the short-term moving averages start to slope in the opposite direction of the long-term moving average.
To use the indicator, simply add it to your TradingView chart and adjust the input parameters according to your preferences. The input parameters include the length of the moving averages, the ROC length (trend sensitivity), and the reversal sensitivity (signal percentage).
The indicator calculates the ROC of the moving averages and determines if the short-term moving averages are sloping in the opposite direction of the long-term moving average. The number of short-term moving averages that meet this condition is then counted, and the probability of a trend reversal is calculated based on the percentage of short-term moving averages that meet this condition.
When the probability of a trend reversal is high, a bullish or bearish signal is generated, depending on the direction of the reversal. The bullish signal is generated when the short-term moving averages start to slope upward, and the bearish signal is generated when the short-term moving averages start to slope downward.
Traders can use the "Trend Reversal Probability Calculator" to identify potential trend reversals and adjust their trading strategies accordingly. It is important to note that this indicator is not a guarantee of a trend reversal and should be used in conjunction with other technical analysis tools to make informed trading decisions.
PinBar Detector [Mr_Zed]Pinbar Detector is a technical analysis tool designed to detect Pinbar patterns in financial markets. Pinbars are reversal patterns that indicate a potential change in trend.
This indicator is based on an existing Pinbar detector in MQ4/5 format, originally developed by "earnforex".
The PineScript version is written to work in TradingView, and can be applied to any chart to identify Pinbar formations. The indicator uses specific criteria to identify Pinbars, such as the length of the wick and the relationship between the wick and the body of the candlestick. By displaying the Pinbars on the chart, traders can make informed decisions about entering or exiting trades based on their analysis of the market's potential trend reversal.
enjoy !
Musashi_Fractal_Dimension === Musashi-Fractal-Dimension ===
This tool is part of my research on the fractal nature of the markets and understanding the relation between fractal dimension and chaos theory.
To take full advantage of this indicator, you need to incorporate some principles and concepts:
- Traditional Technical Analysis is linear and Euclidean, which makes very difficult its modeling.
- Linear techniques cannot quantify non-linear behavior
- Is it possible to measure accurately a wave or the surface of a mountain with a simple ruler?
- Fractals quantify what Euclidean Geometry can’t, they measure chaos, as they identify order in apparent randomness.
- Remember: Chaos is order disguised as randomness.
- Chaos is the study of unstable aperiodic behavior in deterministic non-linear dynamic systems
- Order and randomness can coexist, allowing predictability.
- There is a reason why Fractal Dimension was invented, we had no way of measuring fractal-based structures.
- Benoit Mandelbrot used to explain it by asking: How do we measure the coast of Great Britain?
- An easy way of getting the need of a dimension in between is looking at the Koch snowflake.
- Market prices tend to seek natural levels of ranges of balance. These levels can be described as attractors and are determinant.
Fractal Dimension Index ('FDI')
Determines the persistence or anti-persistence of a market.
- A persistent market follows a market trend. An anti-persistent market results in substantial volatility around the trend (with a low r2), and is more vulnerable to price reversals
- An easy way to see this is to think that fractal dimension measures what is in between mainstream dimensions. These are:
- One dimension: a line
- Two dimensions: a square
- Three dimensions: a cube.
--> This will hint you that at certain moment, if the market has a Fractal Dimension of 1.25 (which is low), the market is behaving more “line-like”, while if the market has a high Fractal Dimension, it could be interpreted as “square-like”.
- 'FDI' is trend agnostic, which means that doesn't consider trend. This makes it super useful as gives you clean information about the market without trying to include trend stuff.
Question: If we have a game where you must choose between two options.
1. a horizontal line
2. a vertical line.
Each iteration a Horizontal Line or a Square will appear as continuation of a figure. If it that iteration shows a square and you bet vertical you win, same as if it is horizontal and it is a line.
- Wouldn’t be useful to know that Fractal dimension is 1.8? This will hint square. In the markets you can use 'FD' to filter mean-reversal signals like Bollinger bands, stochastics, Regular RSI divergences, etc.
- Wouldn’t be useful to know that Fractal dimension is 1.2? This will hint Line. In the markets you can use 'FD' to confirm trend following strategies like Moving averages, MACD, Hidden RSI divergences.
Calculation method:
Fractal dimension is obtained from the ‘hurst exponent’.
'FDI' = 2 - 'Hurst Exponent'
Musashi version of the Classic 'OG' Fractal Dimension Index ('FDI')
- By default, you get 3 fast 'FDI's (11,12,13) + 1 Slow 'FDI' (21), their interaction gives useful information.
- Fast 'FDI' cross will give you gray or red dots while Slow 'FDI' cross with the slowest of the fast 'FDI's will give white and orange dots. This are great to early spot trend beginnings or trend ends.
- A baseline (purple) is also provided, this is calculated using a 21 period Bollinger bands with 1.618 'SD', once calculated, you just take midpoint, this is the 'TDI's (Traders Dynamic Index) way. The indicator will print purple dots when Slow 'FDI' and baseline crosses, I see them as Short-Term cycle changes.
- Negative slope 'FDI' means trending asset.
- Positive most of the times hints correction, but if it got overextended it might hint a rocket-shot.
TDI Ranges:
- 'FDI' between 1.0≤ 'FDI' ≤1.4 will confirm trend following continuation signals.
- 'FDI' between 1.6≥ 'FDI' ≥2.0 will confirm reversal signals.
- 'FDI' == 1.5 hints a random unpredictable market.
Fractal Attractors
- As you must know, fractals tend orbit certain spots, this are named Attractors, this happens with any fractal behavior. The market of course also shows them, in form of Support & Resistance, Supply Demand, etc. It’s obvious they are there, but now we understand that they’re not linear, as the market is fractal, so simple trendline might not be the best tool to model this.
- I’ve noticed that when the Musashi version of the 'FDI' indicator start making a cluster of multicolor dots, this end up being an attractor, I tend to draw a rectangle as that area as price tend to come back (I still researching here).
Extra useful stuff
- Momentum / speed: Included by checking RSI Study in the indicator properties. This will add two RSI’s (9 and a 7 periods) plus a baseline calculated same way as explained for 'FDI'. This gives accurate short-term trends. It also includes RSI divergences (regular and hidden), deactivate with a simple check in the RSI section of the properties.
- BBWP (Bollinger Bands with Percentile): Efficient way of visualizing volatility as the percentile of Bollinger bands expansion. This line varies color from Iced blue when low volatility and magma red when high. By default, comes with the High vols deactivated for better view of 'FDI' and RSI while all studies are included. DDWP is trend agnostic, just like 'FDI', which make it very clean at providing information.
- Ultra Slow 'FDI': I noticed that while using BBWP and RSI, the indicator gets overcrowded, so there is the possibility of adding only one 'FDI' + its baseline.
Final Note: I’ve shown you few ways of using this indicator, please backtest before using in real trading. As you know trading is more about risk and trade management than the strategy used. This still a work in progress, I really hope you find value out of it. I use it combination with a tool named “Musashi_Katana” (also found in TradingView).
Best!
Musashi
Range Strat - MACD/RSIThis strategy uses a trend based indicator (MACD) for entry/exit signals with a momentum oscillator (RSI) to act as confirmation. Although relying on a trend based indicator this has been created for range bound crypto markets, which have been in a period of chop since June 2022.
Long/Short signals are generated from MACD with the RSI oscillator thresholds suppressing entries at price extremes. This is not a mean reversion RSI strategy! As the indicators are contrary to each other you will need to be generous with the RSI settings in order for signals to trigger.
Strategy is designed for use on the 4h timeframe, it may work well on higher timeframes, but lower time frames will lead to false signals. Use fixed percentage of equity for order size to capture the compounding effect. As a reversal strategy bear in mind that should market trend strongly in either direction stops will be required.
The RSI thresholds can be tailored to provide higher frequency or safer signals. Similarly tweaking MACD settings will provide earlier/more frequent or safer signals. As this is intended to enter near range high / low you should check the visual cues to ensure a ping-pong effect is observed, so that peaks and troughs are captured. Once an observable range is established the strategy works well across a range of crypto markets,
The script is open source, so feel free to amend as you wish. Using a different momentum oscillator may provide better results. I have prior coding experience, but first time using PineScript was last night, so it's not very tidy. I will update this with some additional customisation and TP/SL in the near future.
Usage: Range bound markets
Markets: Cryptocurrency Alts/BTC/ETH
Timeframe: 4h
K's Reversal Indicator IK's reversal indicator I is a special combination between Bollinger bands and the MACD oscillator. It is a contrarian indicator that depends on the following conditions:
• A buy signal is generated whenever the current market price is below the 100-period lower Bollinger band while simultaneously, the MACD value must be above its signal line. At the same time, the previous MACD value must be below its previous signal line.
• A sell (short) signal is generated whenever the current market price is above the 100-period upper Bollinger band while simultaneously, the MACD value must be below its signal line. At the same time, the previous MACD value must be above its previous signal line.
The way to use K's reversal indicator is to combine it with your already long/short bias in a sideways/range market in order to maximize the probability of success.
Limitations of the indicator include the following:
• There are no clear exit rules that work well on average across the markets. Even though K’s reversal indicator gives contrarian signals, it does not show when to exit the positions.
• As with other indicators, it underperforms on some markets and is not to be used everywhere.
• False signals tend to occur during trending markets but there is no proven way to detect a false signal.
Elder's Force Index Color BarBased on the Elder's Force Index (EFI) , +/- of the EFI and its ema is used to describe the rise, fall or possible reversal of the market, and finally shown by bar color.
The green bar represents a strong bull and the red bar represents a strong bear;
The blue bar indicates that the downtrend is exhausted and may rise. Likewise the yellow bar.
Of course, it is difficult to buy the bottom and sell the top at any time. This indicator needs to be judged together with the pattern or other indicators that predict reversals in order to increase the win rate.
Happy Trading.
根据Elder's Force Index修改而成，取消了幅图指标，仅用bar color来表现上涨，下跌和转折。
绿色k线代表上涨动能充足，红色k线表示下跌动能充足；
蓝色k线表示下跌力竭，可能会上涨；
黄色k线表示上涨力竭，可能会下跌。
当然，任何时候抄底摸顶都是困难的，该指标需要和形态或者其他预测反转的指标一起判断才能增加成功率。
祝交易愉快。
緑は上昇トレンドで、赤は下落トレンドです；
青は下落が尽きて上昇する可能性があることを示すことで、黄色は上昇が終わり、下落の可能性があることを示しています。
成功率を高めるためには、パターンや反転を予測する他の指標と合わせて判断する必要があります。
Happy Trading。
TBCRI - Trend Bar Color Reversal IndicatorAn idea I had today morning so I had to write. It seems to detect trends well. It has three phases like a semaphor, painting the chart bars of green, yellow or red.
=== Bar Color Meaning ===
Green: uptrend
Yellow: don't care
Red: downtrend
I think it can be useful!
Thanks!
CMYK VRMI RAYS ◊ Introduction
Introducing VRMI in this script, an RMI based on price movement and volume, to indicate bullish and bearish trends.
This script marks the background depending on RMI <> VRMI , VRMI polarity and large buy/sell sprees.
◊ Origin
Based on 'The Relative Momentum Index' by Roger Altman : February, 1993 issue of Technical Analysis of Stocks & Commodities magazine.
While RSI counts up and down days from close to close, the Relative Momentum Index counts up and down days from the close relative to a close x number of days ago.
This results in an RSI that is smoother.
In addition VRMI reacts quick, it is used to cut off latency from RMI, and it's polarity indicates the beginning and end of a trend.
Large buy sell sprees and detected in their proportion with an sma on the volume
◊ Adjustments
CMYK color theme applied.
◊ Usage
This indicator can be used to detect trends and mark reversals.
◊ Prospects
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Triple Bollinger BandsI found myself using multiple bollinger bands a lot so I decided to add them all to one script and add the ability to adjust them by 0.2. It has helped me by not taking up as much space in the upper left corner as well as improving my in's and outs of trend continuation trades. If you manage to find a double top at +2 or greater deviation, and with a bearish divergence on the RSI as shown in this picture, GO SHORT SON! This was a fast and easy 35 - 40 pips and if you used your fibonacci for an exit you had little doubt of the final result and could have even been prepared for an immediate reversal knowing you were then at an oversold -2.8 deviation. I could go on and on........
