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Bollinger Bands (BB)

(BTC) bitcoin "BB Trend - long range view"Here is another look at the BollingerBand Trend indicator with a greater reach in view. As seen in the graph with correlated indicator BTC reached a red zone at the time when the price was at its highest this year before falling and as the price fell the indicator began to rise once more. Being in a red, or under 0, with the BBTrend indicator right now and what does it mean is a good question to try to answer. There are too many indicators and all of them cannot be laid on top of one another to see one giant indicator mess while trying to discover the hidden gem of the chart.
BITSTAMP:BTCUSD
by CryptocurrencyBlot
Divergence into a Reversal?? - AUHere I have AUD/USD on the 1Hr Chart! Our two current Lows @ ( .9498 ) on Wed. April 10th and ( .9456 ) on Fri. April 12th show an interesting underlying story when it comes to our indicators! 1) Looking to the RSI and comparing the Lows to Price on the chart, we can see that the RSI is showing a STRONG Divergence meaning Price could potentially be looking to move up now! 2) Our Momentum & Volatility indicators are showing Consolidation or Sideways movement meaning there is really no more trend left to be found. Now this Divergence leads me to believe that if Price works back up to the CONFIRMATION of PATTERN @ .6545, we could see the VALIDATION of this PATTERN and look for trading opportunities! CONFIRMATION of PATTERN @ .6545 INVALIDATION of PATTERN @ .6456
Long
by Novi_Fibonacci
Educational: Grid Trading, What is it? How it works?Grid trading is often marketed as a way to win every trade. People usually get away with this type of marketing of the trading style due to the fact that grid trading does not care for market execution in the sense of market direction because you will close profitable trades if the market goes up or down. But it's not as simple as that. What is Grid trading? Grid trading is a type of trading strategy that makes use of market price variations by placing buy and sell orders at regular intervals around a base price. The foreign exchange market is where grid trading is most frequently employed, but it can also be used on other markets, like those for futures contracts. How to execute trades on a grid The image above explains exactly how positions that run in the upper direction are executed. Let's break down the process: (1) At the start of your grid trading system, you execute a buy and a sell position with the same lot size. (2) You will only set a take profit and a buy limit/sell limit, but no stop loss. (3) Assuming the price runs in the direction of the buy and you have a 10-pip stop loss, once the price hits your 10-pip stop loss, you will also execute a sell position via the sell limit. This sell position will have a 10-pip take profit in the opposite direction. See demonstration below: There is no restriction on the size of the grid. It does not have to be 10 pips apart. The distance of the grid is explained further in the publication. Here is a video using a trading simulator to show you how these positions would be executed : So, as you can see, with this style of trading, you can potentially make money whether the price goes up or down. However, it can be quite challenging to execute and maintain a large number of trades. Therefore, individuals typically employ automated systems or use trading software to manage and monitor these trades. Trending Market Grid trading can be used to profit from both trending and ranging markets. In a trending market, grid trading involves placing buy orders above the base price and sell orders below the base price. This way, the trader can capitalize on the price movement in a sustained direction. For example, if the base price of Bitcoin futures is $60,000, the trader can place buy orders every $1,000 above the base price. This is also sometimes wrong referred to as dollar cost averaging or compounding your trade which are very different investment strategies. Grid trading's key benefit is that it can be readily automated using trading bots and does not require a lot of forecasting of market direction. Grid trading's main disadvantage is that, if the market goes against the grid and the trader does not apply appropriate risk management strategies like stop-loss limits or position sizing, it may result in significant losses. Grid Size Choosing a grid spacing is one of the most important aspects of grid trading. This depends on a number of elements, including: - The volatility of the market: The more volatile the market is, the wider the grids should be to avoid frequent executions and commissions. - The personal preference of the trader: The trader should choose a grid size that suits their trading style and risk tolerance. Technical indicators like moving averages or Bollinger bands are sometimes used to calculate the spacing between the grids. These indicators can be used to determine the market's volatility and average price over a specific time frame. You can also use basic price action to determine what range the market is likely to tstay within and then calculate the grid in-between Ranging or Trending: Identifying whether the market is trending or range is another important aspect of grid trading. This can be used to determine whether to employ grids that move with the trend or against it. There are a number of approaches to determine if the market is trending or fluctuating, including: - Using trend lines or channels: A trend line or channel is a line that connects higher highs or lower lows in a trending market. A break of a trend line or channel can indicate a change in trend or a range-bound market. - Using trend indicators such as ADX or MACD: The average directional index (ADX) measures the strength of a trend on a scale from 0 to 100. A high ADX value (above 25) indicates a strong trend while a low ADX value (below 20) indicates a weak trend or a range-bound market. The moving average convergence divergence (MACD) measures the difference between two moving averages of different lengths. A positive MACD value indicates an uptrend while a negative MACD value indicates a downtrend. A crossover of MACD lines or zero line can indicate a change in trend or a range-bound market. Link to a publication on MACD : - Using range indicators such as RSI or Stochastic: The relative strength index (RSI) measures how overbought or oversold a market is on a scale from 0 to 100. A high RSI value (above 70) indicates an overbought market while a low RSI value (below 30) indicates an oversold market. A reversal of RSI from extreme levels can indicate a change in trend or a range-bound market. Link to related publication:
COINBASE:ETHUSDEducation
by ChristopherDownie
2
Small fall for growthThe stock's growth has been impressive in recent times; however, the prediction indicates that if the next breakout does not occur by May 19th, the upper band of the 20-day Bollinger Band will decrease, which may hinder sustained attainment of levels above 320. (Red circle) To facilitate further growth, it would be beneficial to reinforce the resistance level at 290 - 295 at the intersection of the 50-day moving average. (Green circle) Additionally, the RSI's 70 level limits further growth potential. To push this level upward, a drop above the sudden, one-time average movement would be favorable.
NASDAQ:MSFT
by BostonTrendLab
6
2nd Pine Script Lesson: Coding the Entry Logic - Bollinger BandWelcome back to our Trading View tutorial series! In this second lesson, be learning how to code the entry logic for a Bollinger Band indicator using Pine Script. If you're new here and missed the first lesson, we highly recommend starting there as it provides a solid foundation for understanding the concepts we'll be covering today: In this hands-on lesson, we'll guide you through every step of coding the entry logic for your own Bollinger Band indicator using Pine Script. By the end of this lesson, you'll have a functional indicator that you can use to inform your trading decisions. So, sit back, grab a cup of coffee, and let's get started! Code the entry logic a) This is where we are calling the Mikilap function with two arguments: - the coinpair and - the timeframe we want to use. // Calling the Mikilap function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) b) In the function initiation we convert the strings into simple strings. // Definition of a Pine Script individual function to handle the Request and avoid Repainting Errors Function_Mikilap(simple string coinpair, simple string tf_to_use) => c) As we are calling the function to get an integer value, we have to define an output variable as an integer and place this variable as the last line in the local scope of the function code to return the integer value. int function_result = 0 // placeholder for indicator calculations function_result Step 1: Using the lower bandwidth of the Bollinger Band based on SMA (close, 21) and a standard deviation of 2.0 and try to highlight bars, where close is next to the lower band a) Requesting the values for the coinpair with request.security() = request.security(coinpair, tf_to_use, ) We recommend using repainting functions like request or barstate only in a local scope (inside a function) and not to request complex calculated values. For saving calculation capacity it is useful to only request the classic four OHLCs and do any calculation with these four after the r equest.security() . b) Calculation of the lower Bollinger Bands values as we need the global info, which type of source, length, and deviation value to use for the calculation, let‘s cut & paste the input for the Bollinger Band in the general starting section of the code and as we want to look for close values „next“ to the lower bandwidth, we need to define what „next“ means; let‘s do it in another input variable, perhaps we want to play with the definition later. string symbol_full = input.symbol(defval = "BINANCE:BTCUSDT", title = "Select Pair:", group = "General") string time_frame = input.string(defval = "60", title = "Timeframe:", tooltip = "Value in minutes, so 1 hour = 60", group = "General") int length = input.int(defval = 21, title = "BB Length:", group = "Bollinger Band Setting") src = input(defval = close, title="BB Source", group = "Bollinger Band Setting") float mult = input.float(defval = 2.0, title="BB Standard-Deviation", group = "Bollinger Band Setting") float lower_dev = input.float(defval = 0.1, title="BB Lower Deviation in %", group = "Bollinger Band Setting")/100 First, let‘s make it visible on the chart by re-writing the Bollinger Bandplot, which is not needed anymore. // Calling the Mikilap function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) // Output on the chart // Part 2 - plotting a Band around the lower bandwidth of a Bollinger Band for the active CoinPair on the chart lower_bb = ta.sma(src, length) - (mult*ta.stdev(src, length)) lower_bb_devup = lower_bb + lower_bb * lower_dev lower_bb_devdown = lower_bb - lower_bb * lower_dev upper = plot(lower_bb_devup, "BB Dev UP", color=#faffaf) lower = plot(lower_bb_devdown, "BB Dev DOWN", color=#faffaf) fill(upper, lower, title = "BB Dev Background", color=color.rgb(245, 245, 80, 80)) c) Now we use the same calculation for the coinpair inside the function and start with the selection of the source (OHLC) to use, which is activein the respective input variable. // Defintion of a Pine Script individual function to handle the Request and avoid Repainting Errors Function_Mikilap(simple string coinpair, simple string tf_to_use) => int function_result = 0 bool barstate_info = barstate.isconfirmed = request.security(coinpair, tf_to_use, ) src_cp = switch src open => open_R high => high_R low => low_R => close_R lower_band_cp = ta.sma(src_cp,length) - (mult*ta.stdev(src_cp, length)) lower_band_cp_devup = lower_band_cp + lower_band_cp * lower_dev lower_band_cp_devdown = lower_band_cp - lower_band_cp * lower_dev // placeholder for indicator calculations d) As the bandwidth for the interesting close values is defined by our band, the only thing missing for the part of the Bollinger Band in our Mikilap indicator is to check if the close value of a bar is inside our band. As we are talking about closed bars, let‘s be sure that it is really closed by using barstate.isconfirmed (repainting built-in function!) and save it in a variable in the head of the function to avoid requesting this info too often. bool barstate_info = barstate.isconfirmed Now let‘s check if the close value of a bar is inside our band. bool bb_entry = close_R < lower_band_cp_devup and close_R > lower_band_cp_devdown and barstate_info And increase the output variable by 1 in case the close value is inside. if bb_entry function_result += 1 By using bb_entry , we are referring to the last bar next to the actual bar, because we want to enter on the opening of the bar after the criteria has been met. e) And to make these possible entries visible, we want to place a label below the bar and show the entry price (=open value of the bar) as mouseover (tooltip). This should only happen if the active coinpair on the chart is the same coinpair, which is in the calculation of the function. if function_result == 1 and ticker.standard(syminfo.tickerid) == coinpair label LE_arrow = label.new(x = bar_index, y = low_R, text = " ↑ LE", yloc = yloc.belowbar, color = color.rgb(255,255,255,25),style = label.style_none, textcolor = color.white, tooltip = str.tostring(open_R)) Note: You will love labels (!) and in case you are looking for text symbols that can be used as labels, look here: www.messletters.com If you need help use the Pine Script Reference Manual, which explains 99% of everything in Pine Script, here: www.tradingview.com f) As our function now returns different integer values (0 or 1), we can use this info to color the background on the actual chart in case it is 1. // Calling the Mikilap function to start the calculation int indi_value = Function_Mikilap(symbol_full, time_frame) color bg_color = indi_value ? color.rgb(180,180,180,75) : color.rgb(25,25,25,100) bgcolor(bg_color) g) To finish this little Pine Script lesson and to achieve our initial targets, we just need to integrate the second indicator (RSI) into the function. We want to use the RSI for 0,5 days (12 hours) and use it to ensure to not go into a long entry in an oversold (< 25) or overbought (> 70) market. We will use RSI (low, 12) within 25 to 45 as the range to go for. Your tasks: define new input variables for RSI: src_rsi and length_rsi define new input variables for the RSI range we want to use: rsi_minand rsi_max(please use the „inline“ format of an input type) calculate the RSI (src_rsi, length_rsi) inside our Mikilap-function define a boolean variable (rsi_entry) to check if the calculated RSI value is inside the range (please add as last check the barstate_info) add the RSI entry check to the Bollinger Band entry check to combine them Congratulations on finishing the second lesson on Trading View - we hope you found it informative and engaging! We're committed to providing you with valuable insights and practical knowledge throughout this tutorial series. So, we'd love to hear from you! Please leave a comment below with your suggestions on what you'd like us to focus on in the next lesson. Thanks for joining us on this learning journey, and we're excited to continue exploring Trading View with you!
Education
by Mizar_trading
8
KOSS - ready to moveKOSS daily showing bullish diversion on a number of indicators and is resting on strong historic support levels at the current price. Further the price has been drifting away from the longer term regression trend midline, suggesting a change in direction is occurring. Per the OBV buyers have generally held onto their shares since the run up that occurred last July. With the Bollinger's getting and staying tight, I expect KOSS will make a move to the upside fairly soon. Trade target is $6. Looking to add shares at ~$4.45. Stop at $4.33. NFA!
NASDAQ:KOSSLong
by Akksujean
📊Bollinger Bands In A Trending MarketBollinger Bands are a widely used chart indicator for technical analysis created by John Bollinger in the 1980s. They offer insights into price and volatility and are used in many markets, including stocks, futures, and currencies. Bollinger Bands have multiple uses, such as determining overbought and oversold levels, as a trend following tool, and for monitoring for breakouts. 📍 Strategy Bollinger Bands measure deviation and can be helpful in diagnosing trends. By generating two sets of bands using different standard deviation parameters, traders can gauge trends and define buy and sell zones. The bands adapt dynamically to price action, widening and narrowing with volatility to create an accurate trending envelope. A touch of the upper or lower band is not a signal in and of itself, and attempting to "sell the top" or "buy the bottom" can lead to losses. Standard deviation is a statistical measure of the amount of variation or dispersion of a set of prices or returns from its average value. The higher the standard deviation, the wider the Bollinger Bands, indicating greater price volatility, and vice versa. Traders may use standard deviation to set stop-loss and take-profit levels or to help determine the risk-to-reward ratio of a trade. 📍 Calculation First, calculate a simple moving average. Next, calculate the standard deviation over the same number of periods as the simple moving average. For the upper band, add the standard deviation to the moving average. For the lower band, subtract the standard deviation from the moving average. Typical values used: Short term: 10 day moving average, bands at 1.5 standard deviations. (1.5 times the standard dev. +/- the SMA) Medium term: 20 day moving average, bands at 2 standard deviations. Long term: 50 day moving average, bands at 2.5 standard deviations. 👤 @AlgoBuddy 📅 Daily Ideas about market update, psychology & indicators ❤️ If you appreciate our work, please like, comment and follow ❤️
Education
by QuantVue
2
The Bollinger Bands are Squeezing the Juice out of GrainsSoybean short swing trade: The Bollinger Bands width has narrowed to 2.56% of price which is a level not seen in over a year. A new 6-month or greater low in bandwidth indicates that a volatility squeeze breakout is likely upon us. Similar volatility squeeze situations exist in wheat and corn but they both broke to the downside significantly last week. Wheat was -6.42% on the week, corn -4.21%, and soybeans lagged at -0.20%. Soybean price reached the lower parabolic SAR which is a signal to short the volatility squeeze. The stop loss is positioned at the upper SAR for this trade. A stop above the 20-day SMA would be more conservative. The overarching price pattern is a rising wedge with what appears to be a fake breakdown in late January. If we hold below the 20-day SMA it will roll over in 3 days. Wheat shows a similar setup already occurred a couple weeks ago but it was a head fake to the upside. There is risk in wheat being at the recent low pivot for the 3rd time. It could moon from here like gold did after making a triple bottom. Note the gigantic head and shoulders. Wheat: Gold: Note the lack of a Bollinger Band squeeze at the pre-moon triple bottom: Corn also shows a similar setup, but there was no head fake, it just broke down out of the band squeeze. Corn: Soybean Crush spread: It appears positioned for a big move in either direction. Seems likely to bounce back up in concert with a soybean drop. It’s in volatility squeeze territory as well. Oil: The mother of all commodities has an inverse head and shoulders continuation pattern suggesting more downside: tldr; short soybeans
CBOT:ZS1!Short
by Skipper86
2
LABU - Break-out & bullish signalsLABU daily chart showing a recent break-out and successful back-test of the longer-term down trend. Optimism present due to a recent Bullish Cross on the MACD, price closing above the VWAP on Friday, price now above the 50-day MA, and buyers appear to be coming back. BBs staying tight on the daily suggesting a significant move may occur soon. Last time the BBW was this low the price move was +20%. Targeting a similar rise in price on this trade to the $8.30s or $8.40s. NFA.
AMEX:LABULong
by Akksujean
DODG - Round 2?DODG looking like it may want to squeeze up more soon. Regression trend down off the recent high showing the potential for a reversal back to the upside with fairly strong divergence off the regression channel midline. BBs have gotten tight again on the 4-hour and shorter timeframes indicating a directional change. Volume appears to be swinging back to bullish. DODG is not oversold on the daily chart. Will look for confirmation of the move and add (or not) based on direction. With lots of strong support at this price from the Feb 2021 run-up, seems like a relatively low risk entry. Maybe they are letting DODG run a bit to help provide some cover for the FTX shenanigans. NFA.
BITTREX:DOGEUSDLong
by Akksujean
2
$COST Short Idea - First target 465Market has been rallying but today seemed suspect and pop in VIX implies smart money possibly hedging under the hood. Time to start looking for hedges / short opportunities , whether we get a large move down or just a pullback before going higher, IMO in the near term we see some selling. Costco is at trend line resistance and therefore I see it as a good hedge/ short candidate. Also at the top of the BB , implying as a mean reversion trade we at least see 495, with 465 being the max profit taking level for me. For the less risk adverse can trade a 525/530 call credit spread or a 525/520 put debit spread, although all out short / long put is also an option ... I'm looking at DEC opex. Cheers - Frisco
NASDAQ:COSTShort
by FriscoTrades
Educational Series: Trading with Bollinger Bands (Part 2)The Bollinger Reversal is my absolute favorite and most valuable perspective of the Bollinger Bands. Have you ever - seen the price move strongly in a direction, but the moment you get into a trade, the price reverses almost immediately? or - held on to a profitable trade, hoping to hit a take-profit level, only to see your profits whittle away as the price reverses. The Bollinger Band can help prevent 1) FOMO leading to Late Entry and 2) Greed leading to Late Exit Look at the yellow spots on the charts - The spots indicate when the price had traded outside of the 2std deviation of the Bollinger Band (either the lower or the upper bound). - When the price trades outside of the Bollinger Band, two things are highly likely to happen : 1) the price reverses back before the current candle loses , leading to possibly the development of a pin bar (which usually signals a strong reversal candlestick pattern). 2) the price closes outside of the Bollinger Band and the subsequent candle is a strong retracement , back toward the Moving Average and possibly a stronger reversal. The Bollinger Reversal can be applied to ANY timeframe (M1 through to D1) When the price is outside of the Bollinger Band, you should choose to avoid entering a trade , as the price is likely to reverse. And if you are currently in a trade, and the price has broken out of the Bollinger Band, you might want to consider securing the profit . However, some more aggressive traders could even choose to trade the short-term reversal. Remember.... - This is a technical indicator. You shouldn't use technical indicators solely. - Combine it with other forms of analysis, Price Action, Fundamental Analysis, Sentiment, and Other types of indicators. The more confluences you can have, the more confidence you will have
Education
by JinDao_Tai
Bollinger and Wilder Charts Suggesting BottomThe Bollinger chart is on the left and the Wilder chart is on the right. The Bollinger chart shows bullish divergence between price and %B which is confirmed by AD%. See the yellow bars. AD% is a normalized accumulation/distribution indicator. Price has also created a double bottom and closed above the 20-day moving average, triggering a long entry. The Wilder chart shows bullish RSI divergence with a failure swing (higher low and higher high), as indicated by the yellow bars. ADX is threatening a crossover but has yet to achieve one. The parabolic SAR has triggered a long entry. The two lower indicators are not Wilder indicators, but both are showing bullish divergence. Note: a 50% retrace was accomplished last week. I went long two micros after the bell with a stop below the day’s low. I’ll consider closing the trade in part or in full near the 9-week moving average which is near the high from a couple weeks ago at 378.50. SPY closed at 371.13 today and is currently up after hours as of this writing at 8:27pm EST.
AMEX:SPYLong
by Skipper86
1
Triveni Engineering & Industries LTD - Multiple Indicators📊 Script: TRIVENI (TRIVENI ENGINEERING & INDUSTRIES LIMITED) 📊 Nifty50 Stock: NO 📊 Sectoral Index: NIFTY500nif 📊 Sector: Fast Moving Consumer Goods 📊 Industry: Sugar / Agricultural Food & other Products DAILY TIMEFRAME W PATTERN BREAKOUT WEEKLY TIMEFRAME MACD CROSSOVER AND DOUBLE MOVING AVERAGE CROSSOVER SOON Key highlights: 💡⚡ This stock pick is according to my study. I have use few indicator that is BOLLINGER BAND MACD RSI DOUBLE MOVING AVERAGE VOLUME 📈 Script is trading at upper band of Bollinger Bands (BB) and giving breakout of it. 📈 Crossover in MACD . 📈 Already Crossover in Double Moving Averages. 📈 Volume is increasing along with price which is volume breakout. 📈 Current RSI is around 76. 📈 One can go for Swing Trade. ⏱️ C.M.P 📑💰- 291 🟢 Target 🎯🏆 - 339 ⚠️ Stoploss ☠️🚫 - 267/260 ⚠️ Important: Always maintain your Risk & Reward Ratio. ✅Like and follow to never miss a new idea!✅ Disclaimer: I am not SEBI Registered Advisor. My posts are purely for training and educational purposes. Eat🍜 Sleep😴 TradingView📈 Repeat 🔁 Happy learning with trading. Cheers!🥂
NSE:TRIVENILong
by radha_23
2
NASDAQ, Uptrend, Target R1R2Hi traders, NASDAQ is showing the last correction wave C 1-hour frame, which is almost over. The market is bearish, but we will see the market going higher bouncing between pivot point bands going up. Pls remember to check the trend, the price should stay up at the pivot point level and bounce in it, without breaking. If the price goes down the pivot point and then S1, we will be in a downtrend again. Pls, see the pivot point levels in the chart. The market has the last word. Indicators, MA 200, 20-8 RSI 8 MA8 Bollinger 20, Volume, Pivot points Levels. Intraday Strategy. MACD
ULong
by Bekapc