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Multi-Optimized Linear Regression ChannelA take on alexgrover 's Optimized Linear Regression Channel script which allows users to apply multiple linear regression channel with unique multiplicative factors. Multiplicative Factors Adjust the amount of channels and multiplicative factors of existing or additional channels using the "Mults" input. An input of "1" creates a single linear regression channel with the multiplicative factor of one. An input of "4" creates a single linear regression channel with the multiplicative factor of four. An input of "1,4" creates two linear regression channels with multiplicative factors of one and four. An input of "1,2,3" creates three linear regression channels with multiplicative factors of one, two, and three.
Pine Script™指标
由Fuwn提供
2
SQueezeVergenceThis is my SQueezeVergence indicator. It fires Buy and Sell signals based on squeeze momentum and trend. **It also creates Bull and Bear signals based on MACD divergence which should only be used as areas of support and resistance being as these signals repaint based on a 5 candle look back of pivots.** All settings are editable for better use. The default settings are what I use on the 1 Minute chart of ES to scalp. This is a simple indicator to help me get alerts on when I need to scalp. The divergence signals work well for areas of significance. I like to watch for breaks of these levels along with support and resistance. I hope this helps.
Pine Script™指标
由barrettdenning提供
4
DB Change Forecast ProDB Change Forecast Pro What does the indicator do? The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction. Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor. A fast-moving change cloud is then calculated and displayed as the "regular version" plot (shown in light gray). When the cloud bottom is above low, a buy zone is detected. When the cloud top is below the high, a sell zone is detected. The linear regression price channel is calculated similarly but using a much slower change rate. The linear regression price channel shows reasonable high, low and HLC3 ranges. At the bar's opening, the channel will be more compact and come fairly accurate about 1/4 into the bar timeframe. The change forecasted price is projected on the right side of the current bar to indicate the current timeframe direction. Please note this forecasting feature is shown in orange when it's early in the timeframe and gray when the timeframe is more likely to produce an accurate direction forecast for the upcoming bar. You can use these projected dashed lines to see possible market movements for the Current bar and possible market direction for the next bar. Kindly note these projects change; they should be used to understand possible extreme highs/lows for the current bar or market direction. The indicator includes an optional change forecast projection feature hidden by default. It will project the market forecast channel with an offset of 1. The forecast is defaulted to an offset of 1 to show market direction. However, you can modify to zero the offset to show the current bar forecast and forecast history. How should this indicator be used? First, very important, 1. Settings > Set Symbol to Desired 2. Settings > Set High Timeframe to "Chart" 3. Settings > Ensure "Use price as divisor" is checked. It's recommended to use this indicator in higher timeframes. Buy and sell signals are displayed in real-time. However, waiting until 1/4 to 1/2 into the current bar is recommended before taking action, and change can happen. The buy/sell signals (zones) provide recommendations on playing a long vs. a short. When in a buy sone, only play longs. When in a sell zone, only play shorts. Then use the linear regression price channel oversold and undersold zones to optionally open and close positions within the buy/sell zones. For example, consider opening a long in a buy zone when the linear regression price channel shows undersold. Then consider closing the long when the price moves into the linear regression oversold or higher. Then repeat as long as it's in the buy zone. Then vice versa for sell zones and shorting. At basic design, buy in the buy zone, sell or short in the sell zone. If you are up for higher trading frequencies, use the linear regression price channel as described in the example above. Please note, as, with all indicators, you may need to adjust to fit the indicator to your symbol and desired timeframe. This is only an example of use. Please use this indicator as your own risk and after doing your due diligence. Does the indicator include any alerts? Yes, "DB CFHLC3: Signal BUY" - Is triggered when a buy signal is fired. "DB CFHLC3: Signal SELL" - Is triggered when a sell signal is fired. "DB CFHLC3: Zone BUY" - Is triggered when a buy zone is detected. "DB CFHLC3: Zeon SELL" - Is triggered when a sell zone is detected. "DB CFHLC3: Oversold SELL" - Is triggered when the price exceeds the oversold level. "DB CFHLC3: Undersold BUY" - Is triggered when the price goes below the undersold level. Any other tips? Once you have configured the indicator for your symbol and chart timeframe. Meaning the plots are displayed over the price. Check out larger timeframes such as W, 2W, 3W, 4W, M, and 4M. It works wonderfully for showing market lows and highs for long-term investing too! Another, tip is to combine it with your favorite indicator, such as TTM Squeeze or MACD for confirmation purposes. You may be surprised how fast the indicator shows market direction changes on higher timeframes. You can just as easily use a high timeframe such as D, 2D, or 3D for day trading due to how the linear price channel works. Why am I not selling this indicator? I would like to bless the TradingView community, and I enjoy publishing custom indicators. If you enjoy this indicator, please consider leaving a thumbs up or a comment for others to know about your experience or recommendations. Enjoy!
Pine Script™指标
由thefluffyones提供
16
HMA w/ SSE-Dynamic EWMA Volatility Bands [Loxx]This indicator is for educational purposes to lay the groundwork for future closed/open source indicators. Some of thee future indicators will employ parameter estimation methods described below, others will require complex solvers such as the Nelder-Mead algorithm on log likelihood estimations to derive optimal parameter values for omega, gamma, alpha, and beta for GARCH(1,1) MLE and other volatility metrics. For our purposes here, we estimate the rolling lambda (λ) value used to calculate EWMA by minimizing of the sum of the squared errors minus the long-run variance--a rolling window of the one year mean of squared log-returns. In practice, practitioners will use a λ equal to a standardized value put out by institutions such as JP Morgan. Even simpler than this, others use a ratio of (per - 1) / (per + 1) to derive λ where per is the lookback period for EWMA. Due to computation limits in Pine, we'll likely not see a true GARCH(1,1) MLE on Pine for quite some time, but future closed source indicators will contain some very interesting industry hacks to get close by employing modifications to EWMA. Enjoy! Exponentially weighted volatility and its relationship to GARCH(1,1) Exponentially weighted volatility--also called exponentially weighted moving average volatility (EWMA)--puts more weight on more recent observations. EWMA is calculated as follows: σ*2 = λσ(n - 1)^2 + (1 − λ)u(n - 1)^2 The estimate, σn, of the volatility for day n (made at the end of day n − 1) is calculated from σn −1 (the estimate that was made at the end of day n − 2 of the volatility for day n − 1) and u^n−1 (the most recent daily percentage change). The EWMA approach has the attractive feature that the data storage requirements are modest. At any given time, we need to remember only the current estimate of the variance rate and the most recent observation on the value of the market variable. When we get a new observation on the value of the market variable, we calculate a new daily percentage change to update our estimate of the variance rate. The old estimate of the variance rate and the old value of the market variable can then be discarded. The EWMA approach is designed to track changes in the volatility. Suppose there is a big move in the market variable on day n − 1 so that u2n−1 is large. This causes our estimate of the current volatility to move upward. The value of λ governs how responsive the estimate of the daily volatility is to the most recent daily percentage change. A low value of λ leads to a great deal of weight being given to the u(n−1)^2 when σn is calculated. In this case, the estimates produced for the volatility on successive days are themselves highly volatile. A high value of λ (i.e., a value close to 1.0) produces estimates of the daily volatility that respond relatively slowly to new information provided by the daily percentage change. The RiskMetrics database, which was originally created by JPMorgan and made publicly available in 1994, used the EWMA model with λ = 0.94 for updating daily volatility estimates. The company found that, across a range of different market variables, this value of λ gives forecasts of the variance rate that come closest to the realized variance rate. In 2006, RiskMetrics switched to using a long memory model. This is a model where the weights assigned to the u(n -i)^2 as i increases decline less fast than in EWMA. GARCH(1,1) Model The EWMA model is a particular case of GARCH(1,1) where γ = 0, α = 1 − λ, and β = λ. The “(1,1)” in GARCH(1,1) indicates that σ^2 is based on the most recent observation of u^2 and the most recent estimate of the variance rate. The more general GARCH(p, q) model calculates σ^2 from the most recent p observations on u2 and the most recent q estimates of the variance rate.7 GARCH(1,1) is by far the most popular of the GARCH models. Setting ω = γVL, the GARCH(1,1) model can also be written: σ(n)^2 = ω + αu(n-1)^2 + βσ(n-1)^2 What this indicator does Calculate log returns log(close/close(1)) Calculates Lambda (λ) dynamically by minimizing the sum of squared errors. I've restricted this to the daily timeframe so as to not bloat the code with additional logic required to derive an annualized EWMA historical volatility metric. After the Lambda is derived, EWMA is calculated one last time and the result is the daily volatility This daily volatility is multiplied by the source and the multiplier +/- the HMA to create the volatility bands Finally, daily volatility is multiplied by the square-root of days per year to derive annualized volatility. Years are trading days for the asset, for most everything but crypto, its 252, for crypto is 365.
Pine Script™指标
由loxx提供
4
Converging Pullbacks and PeaksMulti Timeframe Converging Lines Indicator. Using the highest/lowest Values at 2 different lengths. Convergence created by taking the highest/lowest value and subtracting/adding the # of barssince the highest/lowest bar was set multiplied by the price multiplied by the float. Curves are created from averaging out the emas of the center lines of the extremeties. Helps show trendlines automatically most of the time but can be tweaked by changing the floats or Fast/Slow lengths to you liking.
Pine Script™指标
由EsIstTurnt提供
[DuDu95] SSL 4C MACD Laugerre RSI StrategyHello Guys! Nice to meet you all! Before I start, my nickname has changed to 'DuDu95'!! This is the Strategy introduced by youtube channel. I made this based on the open source indicator by kevinmck100, vkno422, KivancOzbilgic. Thank you All! ### Entry Logic 1. Long Entry Logic - close > SSL Hybrid baseline upper k (keltner channel) - macd signal > 0 and current MACD value > previous MACD value - Laguerre RSI < overbought Line. 2. short Entry Logic - close < SSL Hybrid baseline lower k (keltner channel) - macd signal < 0 and current MACD value < previous MACD value - Laguerre RSI > overbought Line. ### Exit Logic 1. Long Exit Logic - close < SSL Hybrid baseline lower k (keltner channel) - macd signal < 0 2. short Entry Logic - close > SSL Hybrid baseline upper k (keltner channel) - macd signal > 0 ### StopLoss 1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High. 2. Can Chosse inputs of each Stop Loss Type. ### Take Profit 1. Can set Risk Reward Ratio for Take Profit. - To simplify backtest, I erased all other options except RR Ratio. - You can add Take Profit Logic by adding options in the code. 2. Can set Take Profit Quantity. ### Risk Manangement 1. Can choose whether to use Risk Manangement Logic. - This controls the Quantity of the Entry. - e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price, then 50% of your equity will be used for trade. 2. Can choose How much risk you would take per trade. ### Plot 1. Added Labels to check the data of entry / exit positions. 2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
Pine Script™策略
由DuDu95提供
3
[Floride] 4 Layers of Bollinger Shadow This is the indicator I named 4LBS. That means four layers of bollinger shadow. This is an indicator that I made to see how far past prices could affect the future prices. And I found some very interesting and beautiful things about it, and I wanted to share them with you, so I publish this indicator. *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- Hello, nice to meet you all. my name as a trader is Floride. First of all, I am not good at English, so there may be many grammatically incorrect sentences below. I ask for your understanding in advance. Thanks for your understanding. *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*- What is it? bollinger Bands usually has one moving average line. And there's two bands that uses same period value of standard deviation as the former MA. And this indicator, by the way, has a 4 shadow bands that uses twice,three,four,five time the value of the MA's period. Appearance - This indicator has four layers, and there are also other layers between them. You can turn on or off all the shadow layers. Uses of Indicator and Examples examples of actual use 1. market strongness diagnosis -It seems all layers of shadow has some degree resist/support forces. This indicator has the 4th layer - "L4". (indicated by red lines). I saw emergence of volatility quite frequently when this last layer breaks through. When price breaks through this area or line, shade appear on the L4 layer in red. and red cross appear on the that point. This is I called Marlin signal. If you saw red color shadow in this indicator, then the market may have quite high volatility. (of course, there's not 100%. Please be careful about this.) But I've also checked in quite several markets. when this volatility emerges, then also that market seems to started to building quite directional power afterwards. I mean, after the marlin signal, market tends to have bigger volatility, and tends to go one direction. again, it's not 100%. but probability is quite high. But maybe depending on the type of market you need some adjustment. Recommended values are M2-1.618, M3-2.618 Or M2-1, M3-2. default value is M2-1.618, M3-2.618 and also, if prices breakthrough the channels, or layers, It tends to break through the at once, in first bar. In other words, if price don't break through the first or second candle, it's very likely that the price won't break through channel for the time being. 2. market weakness diagnosis Usually, without external momentum, the price converges to the average value and does not deviate from the band. And if price fails to break through the most inner first layer-"L1 - the green channel", In that case, the market is usually assumed to be weak, or has low volatility. - you can set alarms on tuna, marlin signal. and you don't have to watch chart all the time. 3. Signals I put two signals in this indicator. One has the name "Tuna," and the second has the name "Marlin." As you can already tell from the name's feeling, tuna is a weaker signal and marlin is a stronger signal. Actual example of a signal 1. Tuna signal - When the tuna signal appears, you can guess that the current market is generally not weak. or has quite good directional force. or medium volatility. Below is important. - If a tuna signal appears, there is a possibility that a marlin will appear later. - In my opinion, it might be wise not to have a position without a tuna signal. - Almost all of the marlin signal appeared shortly after the tuna signal appeared. 2. Marlin signal - When marlin signal appears, with a high probability, volatility can increase large. - In the backtesting of the stock, in some cases, the market moved quite frequently in the direction of the marlin signal. - The emergence of marlin can be seen as a pretty strong indication of the emergences of direction.
Pine Script™指标
由Minerva11提供
6
Channel SurfingThis is my Channel Surfing indicator. It fires Buy and Sell signals based on multiple conditions. You can use EMAs or LSMAs. You will have to check the box of which moving averages to use once you add it to the chart. It plots EMAs or LSMAs using the different sources Close, Low, and High as the channel to surf. It fires a Buy signal if price crosses the channel up and if there is a pullback into the channel followed by a breakout to the upside. It fires a Sell signal if price crosses the channel down and if there is a pullback into the channel followed buy a breakdown to the down side. I find it works great on the 5 minute SPY chart and the 1 minute chart of ES with the default settings when scalping. You are able to switch between 2 different channels using LSMAs or EMAs. The EMAs has an optional LSMA slope filter for getting rid of some false signals. Let me know if you guys find any other settings or ways to use this and as always I hope it helps.
Pine Script™指标
由barrettdenning提供
2
Bollinger Bands Width and Bollinger Bands %BThis script shows both the Bollinger Band Width(BBW) and %B on the same indicator window. Both the BBW and %B are introduced by John Bollinger(creator of Bollinger Bands) in 2010. Default Parameter values: Length = 20, Source = Close, Mult = 2 Bollinger Bands Width (BBW): Color = (Default: Green ) - I consider stocks with "BBW >= 4" are at a volatile state and ready for price contraction, but this depends on the parameter values of your choice. Bollinger Bands %B (%B): Color = (Default: Blue ) 1. %B Above 10 = Price is Above the Upper Band 2. %B Equal to 10 = Price is at the Upper Band 3. %B Above 5 = Price is Above the Middle Line 4. %B Below 5 = Price is Below the Middle Line 5. %B Equal to 0 = Price is at the Lower Band 6. %B Below 0 = Price is Below the Lower Band
Pine Script™指标
由polarbearking提供