Polygot Moving AveragesDescription
This is essentially a source merger of Bollinger Bands by Trading View and Simple Moving Averages by stoxxinbox. My additions and subtractions are minimal. There is the BB MA, which I default at 5d, and the other 4 averages are the standard 21, 50, 100, 200, day moving averages. I default the averaging method to WMA (Weighted Moving Average). The method of averaging can be changed as also can the lengths of the inputs to match user preferences. This is what I wanted for an indicator and didn't find.
Usage
The same as you would use any other BB or MA indicator. The benefit of this one is that it has 4 MAs, one MA with the Bollinger Bands attached, and the colours adjusted to be easy on the eyes when using high contrast themes, to be discernible yet sit quietly in the background with lines and candle sticks everywhere shouting for attention. I use it as a base first indicator which I can hide easily (imagine hiding five MA indicators individually constantly) when the more serious indicators come into play.
在腳本中搜尋"弘历投教boll指标代码分析"
UVR ChannelsUVR CHANNELS: A VOLATILITY-BASED TREND ANALYSIS TOOL
PURPOSE
UVR Channels are designed to dynamically measure market volatility and identify key price levels for potential trend reversals. The channels are calculated using a unique volatility formula(UVR) combined with an EMA as the central reference point. This approach provides traders with a tool for evaluating trends, reversals, and market conditions such as breakouts or consolidations.
CALCULATION MECHANISM
1. Ultimate Volatility Rate (UVR) Calculation:
The UVR is a custom measure of volatility that highlights significant price movements by comparing the extremes of current and previous candles.
Volatility Components:
Two values are calculated to represent potential price fluctuations:
The absolute difference between the current candle's high and the previous candle's low:
Volatility Component 1=∣high−low ∣
The absolute difference between the previous candle's high and the current candle's low:
Volatility Component 2=∣high −low∣
Volatility Ratio:
The larger of the two components is selected as the Volatility Ratio, ensuring the UVR captures the most significant movement:
Volatility Ratio=max(Volatility Component 1,Volatility Component 2)
Smoothing with SMMA:
To stabilize the volatility calculation, the Volatility Ratio is smoothed using a Smoothed Moving Average (SMMA) over a user-defined period (e.g., 14 candles):
UVR= (UVR(Previous) × (Period−1))+Volatility Ratio)/Period
2. Band Construction:
The UVR is integrated into the band calculations by using the Exponential Moving Average (EMA) as the central line:
Central Line (EMA):
The EMA is calculated based on closing prices over a user-defined period (e.g., 20 candles).
Upper Band:
The upper band represents a dynamic resistance level, calculated as:
Upper Band=EMA+(UVR × Multiplier)
Lower Band:
The lower band serves as a dynamic support level, calculated as:
Lower Band=EMA−(UVR × Multiplier)
3. Role of the Multiplier:
The Multiplier adjusts the width of the bands based on trader preferences:
Higher Multiplier: Wider bands to capture larger price swings.
Lower Multiplier: Narrower bands for tighter market analysis.
FEATURES AND USAGE
Dynamic Volatility Analysis:
The UVR Channels expand and contract based on real-time market volatility, offering a dynamic framework for identifying potential price trends.
Expanding Bands: High market volatility.
Contracting Bands: Low volatility or consolidation.
Trend Identification:
Price consistently near the upper band indicates a strong bullish trend.
Price near the lower band signals a bearish trend.
Trend Reversal Signals:
Price reaching the upper band may signal overbought conditions, while price touching the lower band may signal oversold conditions.
Breakout Potential:
Narrow bands often precede significant price breakouts, making UVR Channels a useful tool for spotting early breakout conditions.
DIFFERENCES FROM BOLLINGER BANDS
Unlike Bollinger Bands, which rely on standard deviation to measure volatility, the UVR Channels use a custom volatility formula based on price extremes (highs and lows). This approach adapts to market behaviour in a unique way, providing traders with an alternative and accurate view of volatility and trends.
INPUT PARAMETERS
Volatility Period:
Determines the number of periods used to smooth the volatility ratio. A higher value results in smoother bands but may lag behind sudden market changes.
EMA Period:
Controls the calculation of the central reference line.
Multiplier:
Adjusts the width of the bands. Increasing the multiplier widens the bands, capturing larger price movements, while decreasing it narrows the bands for tighter analysis.
VISUALIZATION
Purple Line: The EMA (central line).
Red Line: Upper band (dynamic resistance).
Green Line: Lower band (dynamic support).
Shaded Area: Fills the space between the upper and lower bands, visually highlighting the channel.
MA MACD BB BackTesterOverview:
This Pine Script™ code provides a comprehensive backtesting tool that combines Moving Average (MA), Moving Average Convergence Divergence (MACD), and Bollinger Bands (BB). It is designed to help traders analyze market trends and make informed trading decisions by testing various strategies over historical data.
Key Features:
1. Customizable Indicators:
Moving Average (MA): Smooths out price data for clearer trend direction.
MACD: Measures trend momentum through MACD Line, Signal Line, and Histogram.
Bollinger Bands (BB): Identifies overbought or oversold conditions with upper and lower bands.
2. Flexible Trading Direction: Choose between long or short positions to adapt to different market conditions.
3. Risk Management: Efficiently allocate your capital with customizable position sizes.
4. Signal Generation:
Buy Signals: Triggered by crossovers for MACD, MA, and BB.
Sell Signals: Triggered by crossunders for MACD, MA, and BB.
5. Automated Trading: Automatically enter and exit trades based on signal conditions and strategy parameters.
How It Works:
1. Indicator Selection: Select your preferred indicator (MA, MACD, BB) and trading direction (Long/Short).
2. Risk Management Configuration: Set the percentage of capital to allocate per position to manage risk effectively.
3.Signal Detection: The algorithm identifies and plots buy/sell signals directly on the chart based on the chosen indicator.
4. Trade Execution: The strategy automatically enters and exits trades based on signal conditions and configured strategy parameters.
Use Cases:
- Backtesting: Evaluate the effectiveness of trading strategies using historical data to understand potential performance.
- Strategy Development: Customize and expand the strategy to incorporate additional indicators or conditions to fit specific trading styles.
ADDONS That Affect Strategy:
1. Indicator Parameters:
Adjustments to the settings of MACD (e.g., fast length, slow length), MA (e.g., length), and BB (e.g., length, multiplier) will directly impact the detection of signals and the strategy's performance.
2. Trading Direction:
Changing the trading direction (Long/Short) will alter the entry and exit conditions based on the detected signals.
3. Risk Management Settings:
Modifying the position size percentage affects capital allocation and overall risk exposure per trade.
ADDONS That Do Not Affect Strategy:
1. Visual Customizations:
Changes to the color, shape, and style of the plotted lines and signals do not impact the core functionality of the strategy but enhance visual clarity.
2. Text and Labels:
Modifying text labels for the signals (such as renaming "Buy MACD" to "MACD Buy Signal") is purely cosmetic and does not influence the strategy’s logic or outcomes.
Notes:
- Customization: The indicator is highly customizable to fit various trading styles and market conditions.
- Risk Management: Adjust position sizes and risk parameters according to your risk tolerance and account size.
- Optimization: Regularly backtest and optimize parameters to adapt to changing market dynamics for better performance.
Getting Started:
-Add the script to your chart.
-Adjust the input parameters to suit your analysis preferences.
-Observe the marked buy and sell signals on your chart to make informed trading decisions.
TASC 2024.06 REIT ETF Trading System█ OVERVIEW
This strategy script demonstrates the application of the Real Estate Investment Trust (REIT) ETF trading system presented in the article by Markos Katsanos titled "Is The Price REIT?" from TASC's June 2024 edition of Traders' Tips .
█ CONCEPTS
REIT stocks and ETFs offer a simplified, diversified approach to real estate investment. They exhibit sensitivity to interest rates, often moving inversely to interest rate and treasury yield changes. Markos Katsanos explores this relationship and the correlation of prices with the broader market to develop a trading strategy for REIT ETFs.
The script employs Bollinger Bands and Donchian channel indicators to identify oversold conditions and trends in REIT ETFs. It incorporates the 10-year treasury yield index (TNX) as a proxy for interest rates and the S&P 500 ETF (SPY) as a benchmark for the overall market. The system filters trade entries based on their behavior and correlation with the REIT ETF price.
█ CALCULATIONS
The strategy initiates long entries (buy signals) under two conditions:
1. Oversold condition
The weekly ETF low price dips below the 15-week Bollinger Band bottom, the closing price is above the value by at least 0.2 * ATR ( Average True Range ), and the price exceeds the week's median.
Either of the following:
– The TNX index is down over 15% from its 25-week high, and its correlation with the ETF price is less than 0.3.
– The yield is below 2%.
2. Uptrend
The weekly ETF price crosses above the previous week's 30-week Donchian channel high.
The SPY ETF is above its 20-week moving average.
Either of the following:
– Over ten weeks have passed since the TNX index was at its 30-week high.
– The correlation between the TNX value and the ETF price exceeds 0.3.
– The yield is below 2%.
The strategy also includes three exit (sell) rules:
1. Trailing (Chandelier) stop
The weekly close drops below the highest close over the last five weeks by over 1.5 * ATR.
The TNX value rises over the latest 25 weeks, with a yield exceeding 4%, or its value surges over 15% above the 25-week low.
2. Stop-loss
The ETF's price declines by at least 8% of the previous week's close and falls below the 30-week moving average.
The SPY price is down by at least 8%, or its correlation with the ETF's price is negative.
3. Overbought condition
The ETF's value rises above the 100-week low by over 50%.
The ETF's price falls over 1.5 * ATR below the 3-week high.
The ETF's 10-week Stochastic indicator exceeds 90 within the last three weeks.
█ DISCLAIMER
This strategy script educates users on the system outlined by the TASC article. However, note that its default properties might not fully represent real-world trading conditions for an individual. By default, it uses 10% of equity as the order size and a slippage amount of 5 ticks. Traders should adjust these settings and the commission amount when using this script. Additionally, since this strategy utilizes compound conditions on weekly data to trigger orders, it will generate significantly fewer trades than other, higher-frequency strategies.
What RSI? Weighted Heiken Ashi Triple RSIWhat You're Looking At:
The indicator presents a few key elements on its pane which is separate from the price chart:
Smoothed RSI Average Line: This line represents an average of three different RSI calculations, each weighted differently. It's been smoothed out to reduce noise and help you see the trend more clearly.
Moving Average Line: This is a line that smooths out the average RSI line even further and helps you identify the overall trend.
Bollinger Bands: These are two lines that create a channel around the RSI average line. The upper band typically represents an overbought condition, and the lower band represents an oversold condition.
Background Color: The background of the indicator pane will change colors to indicate buy (green) or sell (red) signals.
Horizontal Lines: There are horizontal lines drawn at levels 70, 50, and 30. These represent overbought, midpoint, and oversold levels, respectively.
How to Operate and Interpret:
Trend Identification: Look at the moving average line. If it's trending upwards, the overall momentum may be considered bullish. If it's trending downwards, the momentum may be bearish.
Buy Signals: You may consider a buy signal when:
The smoothed RSI average crosses above the moving average line.
The smoothed RSI average is below 30 and starts to rise, crossing the oversold line.
The background color turns green, signifying favorable conditions to buy according to the indicator's logic.
Sell Signals: You may consider a sell signal when:
The smoothed RSI average crosses below the moving average line.
The smoothed RSI average is above 70 and starts to fall, crossing the overbought line.
The background color turns red, signifying favorable conditions to sell according to the indicator's logic.
Overbought/Oversold Conditions: When the smoothed RSI line touches or crosses the Bollinger Bands, it could be indicating that the asset is overbought (upper band) or oversold (lower band). Some traders use these conditions to look for potential reversals.
Cautions for Trading:
If the smoothed RSI average is between the bands and near the middle line (50), the market might be considered neutral, and some traders may choose to wait for clearer signals.
Just because the indicator gives a buy or sell signal, it doesn't mean the price will immediately move in that direction. It's important to consider other factors in your trading strategy.
Final Notes:
Always use this indicator in conjunction with other analysis methods. No indicator is perfect, and they should be used to supplement your trading strategy, not replace it.
It's important to set stop losses according to your risk tolerance when entering any trades based on these signals.
Practice with the indicator in a demo account to become familiar with its behavior before using it with real money.
By following the movements and signals of this indicator, you can get a sense of the momentum and potential entry or exit points in the markets you are trading.
Average True Range Refurbished💡 Objective
This script is a rebuild of the pre-existing ATR indicator, with improvements and fine-tuning.
🪄Improvements
1. Normalization option (range 0 to 100)
2. Optional calculation of the ratio between current volatility and average volatility
3. Optional smoothing
4. Show a moving average
5. Show Bollinger Bands with 3 bands
6. Change bar colors according to ATR and Bollinger Bands
📚 Definition
'The Average True Range (ATR) is a tool used in technical analysis to measure volatility. Unlike many of today's popular indicators, the ATR is not used to indicate the direction of price. Rather, it is a metric used solely to measure volatility, especially volatility caused by price gaps or limit moves.'
(TradingView)
Daily RTH Moving Average On Intraday Timeframes [vnhilton]This indicator is intended for intraday use from the daily timeframe down to the 1 minute. Outside this range, the indicator won't work as intended.
Higher timeframe moving averages are step-lines as they use values from higher timeframes to calculate the moving average. To have a smoother moving average from higher timeframes plotted on lower timeframes, this indicator uses the chart timeframe's candles, allowing for a smooth higher timeframe moving average. This indicator also includes Bollinger Bands. Note that the indicator only uses values from regular trading hours, as to not give weighting to values from extended trading hours.
In the chart above, at October 7th, pre-market price action is bearish due to fundamentals around US employment data. This day led to an all-day-fader, stopping above the June low after attempting to break down the level again (previous breakdown attempts led to the September low). Note that the price is within the Bollinger bands of the 5 day moving average. We can see in the following days that $SPY trended downwards, staying below the anchored VWAP when the October 7th news released, & pay attention to October 10th, where price attempts to make a new low-of-day but ends up outside the 5 day period ma, leading to a reversal. Look at October 13th, where pre-market price action again shows bearish sentiment, but due to fundamentals around CPI data. $SPY opens below the September low, but also ends up outside the daily 5 period MA bands, meaning that the downside extension has extended too far, signalling for a reversion to the mean. This is why October 13th didn't lead to another all-day-fader, & instead trapped sellers trying to short the pre-market low, helping to fuel the relief rally to cause the upsides the June & September lows, & the anchored VWAPs from both significant pre-market events, to be reclaimed, where price pauses at the confluence of the 5 day moving average & the June low.
Pretty BollingersScheme shamelessly stolen from BORC. A pretty depiction of bollinger bands. Short basis plots from 5., 1, 2 (lines) deviations and then 2, 2.5, 3 (colored bands). Long basis plots only the basis, and 2, 2.5 and 3 bands (gray).
Z-Score DeltaHeavily modified from Z Score by jwammo12
Compares the z-score of two assets, the onscreen one and the reference one configured. If you're familiar, you can think of it as Bollinger Band Percent of Onscreen Asset minus the Bollinger Band Percent of Reference Asset.
It's compared off a simple moving average, due to how standard deviation is calculated.
I view this a more literal meaning of relative strength.
Has the ability to offset or delay in time one to another.
TODO: add MAD and MAD/STD.DEV views
Not my greatest work, but it's functional.
BBands ChannelsBased on the Bollinger Bands system. This shows outer channels to the bollinger bands .
[EURUSD60] BB Expansion StrategyOverview
This is a strategy that can be used in the EURUSD 60 time frame.
It is a trend-following method that uses Bollinger Bands Expansions.
The idea of using Bollinger Bands expansion is well known to the general public, but I don’t know any strategy that this idea has been PINE coded.
The three main components of this strategy are as follows.
・Long term BB and Short term BB : When the short term BB expands more than the long term BB, it suggests the occurrence of a trend.
・14EMA of 240 t/f : The direction of 14EMA of the upper time frame is used as the trend direction.
・ATR lines : As a stop-loss line and a take-profit line.
Description
Fig. Long entry pattern
Fig. Short entry pattern
・Description of lines
Gray : Large BB (=Long term BB)
White : Small BB (=Short term BB)
Blue or Red line : Upper t/f EMA(default: 14EMA), blue is up-trend, red is down-trend
Yellow : Stop loss line by ATR(the term is 14)
Purple : Take profit line by ATR(the term is 14)
・Description of strategy
First of all, when the small BB expands more than the large BB, this strategy detects the occurrence of a trend.
Second, When the price crosses over or crosses under small BB basis, this strategy entries long or short to trend direction (by upper time frame 14EMA).
The default stop-loss range is three times ATR value, and the default take-profit target is 1.5 times the stop-loss range (=risk reward ratio is 1.5).
Neapolitan BandsThe Neapolitan Bands were derived from Jean Marc Guillot's 2001 IFTA trading strategy. In his study published by the International Federation of Technical Analysis titled, "Using Indicators from the Derivatives Markets to Forecast FX Moves" Guillot utilizes multiple bollinger bands of various deviations to determine trends and reversals, entries and exits. I isolated this particular part of his overall trading strategy because it has been a useful trend following indicator for me.
Some basics:
Neapolitan Bands can help identify points that a trend starts and ends, as well as reversals when price is ranging.
These bands are typically paired with another indicator like Guillot did to help separate/time trend or reversal signals. (He used MACD, Slow Stochastic, and RSI)
Parts of this indicator:
The period is by default 55 to identify "intermediate" trends. Not short or long term ones.
The blue area shows the 1st standard deviation. This is the "normal range" where price "likes" to be.
The green area shows the 2nd standard deviation and identifies/defines trends. Closes in this area are used for entering trends long or short.
The red area shows the 3rd standard deviation that shows either a spot to take profit/enter a reversal trade, or a point where the market is free falling.
Trend trading rules:
Entry and exit signals for trends are based on price closing above and below the 1st standard deviation, or blue area. If you expect a bullish trend, you buy once price enters the upper green area.
Guillot recommends setting a stop loss to the MA period of the Neapolitan Bands. So if it's 55 periods, you set the stop loss at the 55 SMA.
Reversal trading rules:
For reversals Guillot says, "In a trading range, bands act as supports and resistances. In extreme conditions reversals can occur within or past the 2nd standard deviation." For us, this means that technically anywhere in the green or red areas, a reversal can occur when the price is ranging. Typically this happens at the edges of the bands.
The "edge to edge" trade:
This is a strategy I took from Ichimoku Clouds and applied to the Neapolitan Bands. An "edge to edge" trade is when price closes back into the blue area from one edge, and price travels all the way to the other edge of the blue area. This can apply going from the edge of one green area to the other edge.
Note that this is one piece of Guillot's trading system, and not the whole thing. On top of that I have modified the original parameters to suit the function of trend following, and added an extra bollinger band. Using a shorter period like 20 is more optimal for shorter expected trends or reversals, and it's what Guillot used himself.
Thanks to Sean Nance for reminding me the indicator looks like ice cream! ( coming up with the name :P )
Vegas Tunnel strategyApply Vegas Tunnel,
Use EMA144 169 as medium-term trend support
Also use EMA 576 676 and 4 multiples of 144 and 169 as long-term support and trend direction
Also increase EMA 36 43 as a short-term trend support
Suitable for stocks, indices, commodities
The applicable time scale can back-test the usability of the strategy by itself, and select the most applicable target
Introduction to current trading strategy:
According to the trend, the price will enter the market when it touches the support of each stage. When it touches the bollinger bands, it is Squeeze. Hold until it leaves the bollinger bands
But the trading strategy can be more optimized, see the code for details
MA ICHI BB [Rogulabo]3 indicators in 1.
Included Indicators are:
- MA 5,25,50,100,200
- Ichimoku
- Bollinger Band
These can be used to determine changes in trends when:
- MA's collide, trajectories shift, or certain levels are reached.
- Ichimoku cloud is above or below the candles.
- Bollinger Band's width changes, or range is broken.
Reasons for 3 in 1 assembly:
This indicator is intended to be used by students, and followers of Dan Takahashi
(a prominent educator of investing in Japan who is also a user of TradingView) .
Those who wants to use and learn with the same setup as Dan, would greatly benefit from this since,
the complex setting up process which can be a pain for beginners can be skipped with a simple click.
Every stylistic choice of color and placement were made to make it similar to the chart used by Dan.
Simple customizations are available such as:
- Changing color
- Changing the values
- Hide/show controls
Notes:
This is intended to be used alongside “CC RSI” for the complete the setup.
Any questions, please refer to:
@rogulabo
＝＝
高橋ダンさんが使用されてるチャートと同様のセットアップの為にご活用ください。
複数のインジケータをグループにしておりますので、無料版を使われてる方は効率よく使っていただけると思います。
また、“CC RSI ”どいうタイトルのインジケータも同時に公開しておりますので、セットアップを完成させたい方はこちらもご活用ください。
以下のインジケータを含みます。
・MA線
・一目均等表
・ボリンジャーバンド
カスタマイズされたい方はご自由に値を変更ください。
ご質問は ＠rogulabo までよろしくお願いいたします。
EMA ICHI BB [Rogulabo]3 indicators in 1.
Included Indicators are:
- EMA 8,13,21,55,100,200,450
- Ichimoku
- Bollinger Band
These can be used to determine changes in trends when:
- EMA's collide, trajectories shift, or certain levels are reached.
- Ichimoku cloud is above or below the candles.
- Bollinger Band's width changes, or range is broken.
Reasons for 3 in 1 assembly:
This indicator is intended to be used by students, and followers of Dan Takahashi
(a prominent educator of investing in Japan who is also a user of TradingView) .
Those who wants to use and learn with the same setup as Dan, would greatly benefit from this since,
the complex setting up process which can be a pain for beginners can be skipped with a simple click.
Every stylistic choice of color and placement were made to make it similar to the chart used by Dan.
Simple customizations are available such as:
- Changing color
- Changing the values
- Hide/show controls
Notes:
This is intended to be used alongside “STOCH RSI ” for the complete the setup.
Any questions, please refer to:
@rogulabo
＝＝
高橋ダンさんが使用されてるチャートと同様のセットアップの為にご活用ください。
複数のインジケータをグループにしておりますので、無料版を使われてる方は効率よく使っていただけると思います。
また、“STOCH RSI ”どいうタイトルのインジケータも同時に公開しておりますので、セットアップを完成させたい方はこちらもご活用ください。
以下のインジケータを含みます。
・EMA線
・一目均等表
・ボリンジャーバンド
カスタマイズされたい方はご自由に値を変更ください。
ご質問は ＠rogulabo までよろしくお願いいたします。
Overlay_set by HallyIt is a set of overlay indicators that combine 5 simple moving averages, Bollinger band, and clouds of Ichimoku cloud.
The reason I made this is because I want to make it easier to switch the display of the indicator when trading in a short time.
For example, if you double-click SMA, the setting dialog for this indicator opens. Immediately check the check box of the Bollinger you want to add and close the dialog.
You can quickly switch the display with this feeling and save the amount of mouse movement.
x0xXx0xx0xXx0xx0xXx0xx0xXx0xx0xXx0xx0xXx0xx0xXx0xx0xX
単純移動平均線5本と、ボリンジャー・バンド、一目均衡表の雲を1つにまとめたオーバーレイ系のインジケーターのセットです。
これを作った理由は短い時間でのトレードの際にインジケーターの表示を切り替えるのを楽にしたいからです。
たとえば、SMAをダブルクリックすればこのインジケーターの設定ダイアログが開くのですぐに追加表示したいボリンジャーのチェックボックスにチェックしてダイアログを閉じる。
という感じで素早く表示を切り替えることが出来き、マウスの移動量を節約できます。
Stochastic %BIt's a Stochastic indicator combined with Bollinger %B. This way you just need to check if it is above 1.0 or below 0.0 (Outside Bollinger Bands).
R100 Volatility Combo Bands v1 (*v*)The Volatility Combo Bands are made from 4 separate volatility bands- two Bollinger Bands (10 and 20 period) and two Price Headley Acceleration Bands (10 and 20 period). The Volatility Combo Bands plot the innermost upper and lower points from these bands and then plots a mid-line. By default, only the standard 20 period Bollinger Bands and Combo Bands with mid-line are displayed, but can be configured however you want.
Try it out- see squeezes earlier, ride the bands earlier in trending markets, trade pullbacks to the Combo Bands and mid-line, trade the range of the band or use them to help identify potential support and resistance levels. Hopefully they can add another dimension to identifying volatility contraction patterns or whatever you currently use these things for!
I hope you get some value out of it. Only conditions of use are that if you improve it, let me know and if you publish something that uses it, don't hide the code! Enjoy!
Code for the Price Headley Acceleration Bands pinched and modified from LazyBear - thankyou.
Cumulative Net VolumeThis indicator calculate the Cumulative Net Volume (volume in versus volume out) as seen in red and green cross
I normalize it to be as price indicator -then using color setting it easy to see when volume influx is positive compare to negative period
next step -I add rsi and Bollinger to highlight the area where volume is going up or down with the best period by rsi and Bollinger (green red)
it easy indicator for starter to see where the best buy or sell point
have fun
Sb_Rate_Of_Change_BB_Band_strategy Version 1.0The strategy couples the concept of rate of change along with the Bollinger bands.
Along with it LazyBear's RSI/MFI with Volatility Indicator is also taken to reduce the number of trades and improve efficiency.
Strategy (in Layman terms):
If in the past 10 candles RSI/MFI with Volatility Indicator has printed a red/green colour and the roc has gone above/below the Bollinger bands then the short/long order is placed respectively.
Message if you think of any modifications/ enhancements/ any opportunities. :)
Donations/Tips... :) -
BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2
ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781
LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
SB_RSI/MFI with Volatility Version 1.0Take on LazyBear's SB_RSI/MFI with Volatility Indicator.
The original indicator is coupled with the Bollinger Band strategy.
Original Idea:
Wanted to test the indicator with bbstrategy.
Message if you think of any modifications/ enhancements/ any opportunities. :)
Donations/Tips... :) -
BTC: 1BjswGcRR6c23pka7qh5t5k56j46cuyyy2
ETH: 0x64fed71c9d6c931639c7ba4671aeb6b05e6b3781
LTC: LKT2ykQ8QSzzfTDB6Tnsf12xwYPjgq95h4
Donchian Channel Width Strategy The Donchian Channel was developed by Richard Donchian and it could be compared
to the Bollinger Bands. When it comes to volatility analysis, the Donchian Channel
Width was created in the same way as the Bollinger Bandwidth technical indicator was.
You can change long to short in the Input Settings
WARNING:
- For purpose educate only
- This script to change bars colors.
Donchian Channel Width The Donchian Channel was developed by Richard Donchian and it could be compared
to the Bollinger Bands. When it comes to volatility analysis, the Donchian Channel
Width was created in the same way as the Bollinger Bandwidth technical indicator was.
As was mentioned above the Donchian Channel Width is used in technical analysis to measure
volatility. Volatility is one of the most important parameters in technical analysis.
A price trend is not just about a price change. It is also about volume traded during this
price change and volatility of a this price change. When a technical analyst focuses his/her
attention solely on price analysis by ignoring volume and volatility, he/she only sees a part
of a complete picture only. This could lead to a situation when a trader may miss something and
lose money. Lets take a look at a simple example how volatility may help a trader:
Most of the price based technical indicators are lagging indicators.
When price moves on low volatility, it takes time for a price trend to change its direction and
it could be ok to have some lag in an indicator.
When price moves on high volatility, a price trend changes its direction faster and stronger.
An indicator's lag acceptable under low volatility could be financially suicidal now - Buy/Sell signals could be generated when it is already too late.
Another use of volatility - very popular one - it is to adapt a stop loss strategy to it:
Smaller stop-loss recommended in low volatility periods. If it is not done, a stop-loss could
be generated when it is too late.
Bigger stop-loss recommended in high volatility periods. If it is not done, a stop-loss could
be triggered too often and you may miss good trades.
