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Supertrend B&SSuperTrend is one of the most common ATR based trailing stop indicators. In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA . The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier. The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility . The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price. It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red. A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
Penunjuk Pine Script®
oleh GTTRADINGIN
SGX Nifty OHLC for Nifty 50 IndexSGX Nifty OHLC for Nifty 50 Index What is this Indicator? • This indicator calculates the OHLC levels of SGX Nifty. How does SGX Nifty impact NIFTY and the Indian Market? • Helps in predicting NIFTY50 Index behavior. • The closing price of today's 9.14 am (IST) SGX Nifty will be the Open of today's Nifty50 Open. This helps to determine the opening Gap of Nifty50. • SGX Nifty OHLC levels can act as support and resistance in Nifty50. Who to use? • Beneficial for Day Traders, who trade in NIFTY Index. What timeframe to use? • Use 1 minute for better accuracy. • Other timeframes will also work. Important Note • Use 1 min timeframe for accurate OHLC. • In other timeframes OHLC will have negligible difference, it won't be huge. • This indicator will appear only on NIFTY Index and Futures chart. • To hide the warning label go to the indicator Menu.
Penunjuk Pine Script®
oleh Arun_K_Bhaskar
7
STD-Filtered, ATR-Adaptive Laguerre Filter [Loxx]STD-Filtered, ATR-Adaptive Laguerre Filter is a standard Laguerre Filter that is first made ATR-adaptive and the passed through a standard deviation filter. This helps reduce noise and refine the output signal. Can apply the standard deviation filter to the price, signal, both or neither. What is the Laguerre Filter? The Laguerre RSI indicator created by John F. Ehlers is described in his book "Cybernetic Analysis for Stocks and Futures". The Laguerre Filter is a smoothing filter which is based on Laguerre polynomials. The filter requires the current price, three prior prices, a user defined factor called Alpha to fill its calculation. Adjusting the Alpha coefficient is used to increase or decrease its lag and it's smoothness. Included: Bar coloring Signals Alerts Loxx's Expanded Source Types
Penunjuk Pine Script®
oleh loxx
Ehlers Linear Extrapolation Predictor [Loxx]Ehlers Linear Extrapolation Predictor is a new indicator by John Ehlers. The translation of this indicator into PineScript™ is a collaborative effort between @cheatcountry and I. The following is an excerpt from "PREDICTION" , by John Ehlers Niels Bohr said “Prediction is very difficult, especially if it’s about the future.”. Actually, prediction is pretty easy in the context of technical analysis. All you have to do is to assume the market will behave in the immediate future just as it has behaved in the immediate past. In this article we will explore several different techniques that put the philosophy into practice. LINEAR EXTRAPOLATION Linear extrapolation takes the philosophical approach quite literally. Linear extrapolation simply takes the difference of the last two bars and adds that difference to the value of the last bar to form the prediction for the next bar. The prediction is extended further into the future by taking the last predicted value as real data and repeating the process of adding the most recent difference to it. The process can be repeated over and over to extend the prediction even further. Linear extrapolation is an FIR filter, meaning it depends only on the data input rather than on a previously computed value. Since the output of an FIR filter depends only on delayed input data, the resulting lag is somewhat like the delay of water coming out the end of a hose after it supplied at the input. Linear extrapolation has a negative group delay at the longer cycle periods of the spectrum, which means water comes out the end of the hose before it is applied at the input. Of course the analogy breaks down, but it is fun to think of it that way. As shown in Figure 1, the actual group delay varies across the spectrum. For frequency components less than .167 (i.e. a period of 6 bars) the group delay is negative, meaning the filter is predictive. However, the filter has a positive group delay for cycle components whose periods are shorter than 6 bars. Figure 1 Here’s the practical ramification of the group delay: Suppose we are projecting the prediction 5 bars into the future. This is fine as long as the market is continued to trend up in the same direction. But, when we get a reversal, the prediction continues upward for 5 bars after the reversal. That is, the prediction fails just when you need it the most. An interesting phenomenon is that, regardless of how far the extrapolation extends into the future, the prediction will always cross the signal at the same spot along the time axis. The result is that the prediction will have an overshoot. The amplitude of the overshoot is a function of how far the extrapolation has been carried into the future. But the overshoot gives us an opportunity to make a useful prediction at the cyclic turning point of band limited signals (i.e. oscillators having a zero mean). If we reduce the overshoot by reducing the gain of the prediction, we then also move the crossing of the prediction and the original signal into the future. Since the group delay varies across the spectrum, the effect will be less effective for the shorter cycles in the data. Nonetheless, the technique is effective for both discretionary trading and automated trading in the majority of cases. EXPLORING THE CODE Before we predict, we need to create a band limited indicator from which to make the prediction. I have selected a “roofing filter” consisting of a High Pass Filter followed by a Low Pass Filter. The tunable parameter of the High Pass Filter is HPPeriod. Think of it as a “stone wall filter” where cycle period components longer than HPPeriod are completely rejected and cycle period components shorter than HPPeriod are passed without attenuation. If HPPeriod is set to be a large number (e.g. 250) the indicator will tend to look more like a trending indicator. If HPPeriod is set to be a smaller number (e.g. 20) the indicator will look more like a cycling indicator. The Low Pass Filter is a Hann Windowed FIR filter whose tunable parameter is LPPeriod. Think of it as a “stone wall filter” where cycle period components shorter than LPPeriod are completely rejected and cycle period components longer than LPPeriod are passed without attenuation. The purpose of the Low Pass filter is to smooth the signal. Thus, the combination of these two filters forms a “roofing filter”, named Filt, that passes spectrum components between LPPeriod and HPPeriod. Since working into the future is not allowed in EasyLanguage variables, we need to convert the Filt variable to the data array XX . The data array is first filled with real data out to “Length”. I selected Length = 10 simply to have a convenient starting point for the prediction. The next block of code is the prediction into the future. It is easiest to understand if we consider the case where count = 0. Then, in English, the next value of the data array is equal to the current value of the data array plus the difference between the current value and the previous value. That makes the prediction one bar into the future. The process is repeated for each value of count until predictions up to 10 bars in the future are contained in the data array. Next, the selected prediction is converted from the data array to the variable “Prediction”. Filt is plotted in Red and Prediction is plotted in yellow. The Predict Extrapolation indicator is shown above for the Emini S&P Futures contract using the default input parameters. Filt is plotted in red and Predict is plotted in yellow. The crossings of the Predict and Filt lines provide reliable buy and sell timing signals. There is some overshoot for the shorter cycle periods, for example in February and March 2021, but the only effect is a late timing signal. Further reducing the gain and/or reducing the BarsFwd inputs would provide better timing signals during this period. ADDITIONS Loxx's Expanded source types: Library for expanded source types: Explanation for expanded source types: Three different signal types: 1) Prediction/Filter crosses; 2) Prediction middle crosses; and, 3) Filter middle crosses. Bar coloring to color trend. Signals, both Long and Short. Alerts, both Long and Short.
Penunjuk Pine Script®
oleh loxx
6
Jurik-Filtered Kase Permission Stochastic [Loxx]Jurik-Filtered Kase Permission Stochastic is a special implementation of Kase Permission Stochastic by Kase StatWare. This implementation uses a Jurik filter to smooth final output. What is Kase StatWare? Kase StatWare has been around since 1992 and is a technical analysis trading indicator package developed by the acclaimed market technician and former energy trader Cynthia A. Kase. StatWare’s self-optimizing indicators help professional and individual traders to form a precise and systematic approach to discretionary trading and trade risk management. Kase StatWare creates subscription-based technical analysis tools mainly for Stocks and Futures trading which can be subscribed to at a monthly cost. What is Kase Permission Stochastic? The Kase Permission Stochastic is a momentum indicator that examines a synthetic longer bar length, that by default, is three (5x by default for this implementation here) times higher than the bar length it is plotted against. Included Alerts Signals Bar coloring
Penunjuk Pine Script®
oleh loxx
3
OMA-Filtered Kase Permission Stochastic [Loxx]OMA-Filtered Kase Permission Stochastic is a special implementation of Kase Permission Stochastic by Kase StatWare. What is Kase StatWare? Kase StatWare has been around since 1992 and is a technical analysis trading indicator package developed by the acclaimed market technician and former energy trader Cynthia A. Kase. StatWare’s self-optimizing indicators help professional and individual traders to form a precise and systematic approach to discretionary trading and trade risk management. Kase StatWare creates subscription-based technical analysis tools mainly for Stocks and Futures trading which can be subscribed to at a monthly cost. What is Kase Permission Stochastic? The Kase Permission Stochastic is a momentum indicator that examines a synthetic longer bar length, that by default, is three (5x by default for this implementation here) times higher than the bar length it is plotted against. Included Alerts Signals Bar coloring
Penunjuk Pine Script®
oleh loxx
3
TriexDev - SuperBuySellTrend (PLUS+)Minimal but powerful. Have been using this for myself, so thought it would be nice to share publicly. Of course no script is correct 100% of the time, but this is one of if not the best in my basic tools. (This is the expanded/PLUS version) Github Link for latest/most detailed + tidier documentation Base Indicator - Script Link TriexDev - SuperBuySellTrend (SBST+) TradingView Trend Indicator --- SBST Plus+ Using the "plus" version is optional, if you only want the buy/sell signals - use the "base" version. ## What are vector candles? Vector Candles (inspired to add from TradersReality/MT4) are candles that are colour coded to indicate higher volumes, and likely flip points / direction changes, or confirmations. These are based off of PVSRA (Price, Volume, Support, Resistance Analysis). You can also override the currency that this runs off of, including multiple ones - however adding more may slow things down. PVSRA - From MT4 source: Situation "Climax" Bars with volume >= 200% of the average volume of the 10 previous chart TFs, and bars where the product of candle spread x candle volume is >= the highest for the 10 previous chart time TFs. Default Colours: Bull bars are green and bear bars are red. Situation "Volume Rising Above Average" Bars with volume >= 150% of the average volume of the 10 previous chart TFs. Default Colours: Bull bars are blue and bear are blue-violet. A blue or purple bar can mean the chart has reached a top or bottom. High volume bars during a movement can indicate a big movement is coming - or a top/bottom if bulls/bears are unable to break that point - or the volume direction has flipped. This can also just be a healthy short term movement in the opposite direction - but at times sets obvious trend shifts. ## Volume Tracking You can shift-click any candle to get the volume of that candle (in the pair token/stock), if you click and drag - you will see the volume for that range. ## Bollinger Bands Bollinger Bands can be enabled in the settings via the toggle. Bollinger Bands are designed to discover opportunities that give investors a higher probability of properly identifying when an asset is oversold (bottom lines) or overbought (top lines). >There are three lines that compose Bollinger Bands: A simple moving average (middle band) and an upper and lower band. >The upper and lower bands are typically 2 standard deviations +/- from a 20-day simple moving average, but they can be modified. --- Base Indicator ## What is ATR? The average true range (ATR) is a technical analysis indicator, which measures market volatility by decomposing the entire range of an asset price for that period. The true range indicator is taken as the greatest of the following: - current high - the current low; - the absolute value of the current high - the previous close; - and the absolute value of the current low - the previous close. The ATR is then a moving average, generally using 10/14 days, of the true ranges. ## What does this indicator do? Uses the ATR and multipliers to help you predict price volatility, ranges and trend direction. > The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price. > It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red. > A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it will be less effective in a sideways-moving market. Thanks to KivancOzbilgic who made the original SuperTrend Indicator this was based off --- ## Usage Notes Two indicators will appear, the default ATR multipliers are already set for what I believe to be perfect for this particular (double indicator) strategy. If you want to break it yourself (I couldn't find anything that tested more accurately myself), you can do so in the settings once you have added the indicator. Basic rundown: - A single Buy/Sell indicator in the dim colour; may be setting a direction change, or just healthy movement. - When the brighter Buy/Sell indicator appears; it often means that a change in direction (uptrend or downtrend) is confirmed. --- You can see here, there was a (brighter) green indicator which flipped down then up into a (brighter) red sell indicator which set the downtrend. At the end it looks like it may be starting to break the downtrend - as the price is hitting the trend line. (Would watch for whether it holds above or drops below at that point) Another example, showing how sometimes it can still be correct but take some time to play out - with some arrow indicators. Typically I would also look at oscillators, RSI and other things to confirm - but here it held above the trend lines nicely, so it appeared to be rather obvious. It's worth paying attention to the trend lines and where the candles are sitting. Once you understand/get a feel for the basics of how it works - it can become a very useful tool in your trading arsenal. Also works for traditional markets & commodities etc in the same way / using the same ATR multipliers, however of course crypto generally has bigger moves. --- You can use this and other indicators to confirm likeliness of a direction change prior to the brighter/confirmation one appearing - but just going by the 2nd(brighter) indicators, I have found it to be surprisingly accurate. Tends to work well on virtually all timeframes, but personally prefer to use it on 5min,15min,1hr, 4hr, daily, weekly. Will still work for shorter/other timeframes, but may be more accurate on mid ones. --- This will likely be updated as I go / find useful additions that don't convolute things. The base indicator may be updated with some limited / toggle-able features in future also.
Penunjuk Pine Script®
oleh Xeirt
4
LONG SAZB $This strategy combines the use of: -The MTF EMA to detect trends. -The MACD to create Long and Short Buy signals. -The ATR for setting Stop Losses and Take Profits. This works well with many different crypto and fiat pairs, but it must be optimized for the certain behavior of the currency pair. Its optimal use is strong trends, not so profitable when sideways. This strategy was developed with the 5-minute Bitcoin / TetherUS Perpetual futures for Binance (Crypto trading platform). This is the first version, updates will come. MTF EMA The MTF EMA (Multi-TimeFrame Exponential Moving Average ) is a great indicator to see the overall trend of an asset, you can see the status of a moving average for all timeframes on one chart. Normally when you check a moving average of the price it's on some specific timeframe. The MTF EMA allows you to see moving average status for all timeframes in a single place. You can simplify your visual representation and know if an asset or a pair is overall bullish or bearish , with this improving your entry and exit signal decisions. This strategy uses the 1 hour and 15 min EMA with different values. Experimenting with these is important to understand the currency pairs. Up trend: Price (source) > 1h MTF and 1h MTF < 15m MTF Down trend: Price (source) < 1h MTF and 1h MTF > 15m MTF MACD Using MACD (Moving Average Convergence Divergence) as a reference, the strategy identifies when the MACD line crosses over (a factor in a buy signal) and under (a factor in a Sell signal) the Signal line. This shows a shift in positive (cross over) and negative (cross under) of a security. This strategy uses values of 12 on the Fast MA, 26 on the Slow MA, and 9 in the Signal Line MA. The optional ribbon is for a more visual representation of the MACD . The MACD and Signal line have the option to have a crossover limit to cancel buy signals depending on the value they crossed at according to the 0 line of the MACD . This is to avoid fake signals. ATR TP/SL Using ATR to define the stop loss and take profit is that it should allow you to set them at a realistic distance from price. Simply put, a pair experiencing a high level of volatility has a higher ATR, and a low volatility stock has a lower ATR. The indicator does not indicate the price direction; rather it is used primarily to measure volatility caused by gaps and limit up or down moves. All this is used to allow the Stop Loss “breathing space” so trades don't get unnecessarily stopped, and allow the Take Profit to be at a more realistic, flexible, and profitable price. This strategy uses different values for Longs and Shorts depending on the market behavior, optionally analyzes swing lows and highs according to the value of the candle lookback and sets the ATR depending on them, they must be tested to optimum. Also the ATR has a multiplicator to find the most efficient price levels. Trade Setup Shorts and Longs can be turned OFF and ON. There is an optional maximum % loss for trades, the trade is closed when the high-low average of a candle is over this %. Longs This strategy indicates a Long Buy signal when these conditions are met: - Uptrend signal from MTF EMA . - MACD Crossover of Signal ( MACD > Signal) while being under the MACD crossover limit. A Long exit signal is indicated when: - Price crosses over the ATR Take Profit limit. - Price crosses under the ATR Stop Loss limit. - Price crosses under optional max % long loss. Shorts This strategy indicates a Long Buy signal when these conditions are met: - Downtrend signal from MTF EMA . - Signal Crossover of MACD ( MACD < Signal) while being over the MACD crossover limit. A Short exit signal is indicated when: - Price crosses under the ATR Take Profit limit. - Price crosses over the ATR Stop Loss limit. - Price crosses over optional max % short loss. Disclaimer 1. I am not a licensed financial advisor or broker dealer. I do not tell you when or what to buy or sell. I developed this software which enables you to execute manual or automated trades multiple trades using TradingView. The software allows you to set the criteria you want for entering and exiting trades. 2. Do not trade with money you cannot afford to lose. 3. I do not guarantee consistent profits or that anyone can make money with no effort. I am not selling the holy grail. 4. Every system can have winning and losing streaks. 5. Money management plays a large role in the results of your trading. For example: lot size, account size, broker leverage, and broker margin call rules all have an effect on results. Also, your Take Profit and Stop Loss settings for individual pair trades and for overall account equity have a major impact on results. If you are new to trading and do not understand these items, then I recommend you seek education materials to further your knowledge. **YOU NEED TO FIND AND USE THE TRADING SYSTEM THAT WORKS BEST FOR YOU AND YOUR TRADING TOLERANCE.** **I HAVE PROVIDED NOTHING MORE THAN A TOOL WITH OPTIONS FOR YOU TO TRADE WITH THIS PROGRAM ON TRADINGVIEW.** I am 100 % open to suggestions to improve the script. If you encounter any problems or would like to see the script, share them with me at "steven17zmuda@gmail.com". Items in this description text may not be written directly by me, but may be taken from education sites.
Strategi Pine Script®
oleh stevenz17
Binance_Min_Limit_Order_amount_libraryLibrary "Binance_Min_Limit_Order_amount_library" TODO: This library give us the minimum Limit Order amount for the contract in Binance. m_qty(n_v, m_fee, t_fee, cost, m_t)   TODO: it give us the Minimum Qty for the trading in Binance   Parameters:      n_v : TODO: min_notional_value. 5 dollar is the minimum notional amount in Binance at the moment.      m_fee : TODO: maker_fee %      t_fee : TODO: taker_fee %      cost : TODO: your investing money      m_t : TODO: if you want Limit_Order, put the "T", if you want Market_Order, put the "M" defval="M"   Returns: TODO: for the coin of binance on your chart, Reference: www.binance.com
Perpustakaan Pine Script®
oleh potatoshop
1
Fourier Extrapolation of Variety Moving Averages [Loxx]Fourier Extrapolation of Variety Moving Averages is a Fourier Extrapolation (forecasting) indicator that has for inputs 38 different types of moving averages along with 33 different types of sources for those moving averages. This is a forecasting indicator of the selected moving average of the selected price of the underlying ticker. This indicator will repaint, so past signals are only as valid as the current bar. This indicator allows for up to 1500 bars between past bars and future projection bars. If the indicator won't load on your chart. check the error message for details on how to fix that, but you must ensure that past bars + futures bars is equal to or less than 1500. Fourier Extrapolation using the Quinn-Fernandes algorithm is one of several (5-10) methods of signals forecasting that I'l be demonstrating in Pine Script. What is Fourier Extrapolation? This indicator uses a multi-harmonic (or multi-tone) trigonometric model of a price series xi, i=1..n, is given by: xi = m + Sum( a*Cos(w*i) + b*Sin(w*i), h=1..H ) Where: xi - past price at i-th bar, total n past prices; m - bias; a and b - scaling coefficients of harmonics; w - frequency of a harmonic ; h - harmonic number; H - total number of fitted harmonics. Fitting this model means finding m, a, b, and w that make the modeled values to be close to real values. Finding the harmonic frequencies w is the most difficult part of fitting a trigonometric model. In the case of a Fourier series, these frequencies are set at 2*pi*h/n. But, the Fourier series extrapolation means simply repeating the n past prices into the future. This indicator uses the Quinn-Fernandes algorithm to find the harmonic frequencies. It fits harmonics of the trigonometric series one by one until the specified total number of harmonics H is reached. After fitting a new harmonic , the coded algorithm computes the residue between the updated model and the real values and fits a new harmonic to the residue. see here: A Fast Efficient Technique for the Estimation of Frequency , B. G. Quinn and J. M. Fernandes, Biometrika, Vol. 78, No. 3 (Sep., 1991), pp . 489-497 (9 pages) Published By: Oxford University Press The indicator has the following input parameters: src - input source npast - number of past bars, to which trigonometric series is fitted; Nfut - number of predicted future bars; nharm - total number of harmonics in model; frqtol - tolerance of frequency calculations. Included: Loxx's Expanded Source Types Loxx's Moving Averages Other indicators using this same method Fourier Extrapolator of Variety RSI w/ Bollinger Bands Fourier Extrapolator of Price w/ Projection Forecast Fourier Extrapolator of Price Loxx's Moving Averages: Detailed explanation of moving averages inside this indicator Loxx's Expanded Source Types: Detailed explanation of source types used in this indicator
Penunjuk Pine Script®
oleh loxx
7
Spot v Perp aggrRollingVWAPThis indicator is a rolling VWAP that shows an aggregated BTC VWAP for both spot markets and futures markets Spot VWAP is shown in BTC orange while perp VWAP is shown in blue This is useful for identifying which market (spot or perps) is pushing trending moves If the spot VWAP is more closely following the trend, then spot is pushing the move If the perp VWAP is more closely following the trend, then perps are pushing the move e.g. In the following picture you can see that the move down was followed much more closely by the spot VWAP, therefore you can assume that the move is being pushed my spot
Penunjuk Pine Script®
oleh TraderKalis
The Investment ClockThe Investment Clock was most likely introduced to the general public in a research paper distributed by Merrill Lynch. It’s a simple yet useful framework for understanding the various stages of the US economic cycle and which asset classes perform best in each stage. The Investment Clock splits the business cycle into four phases, where each phase is comprised of the orientation of growth and inflation relative to their sustainable levels: Reflation phase (6:01 to 8:59): Growth is sluggish and inflation is low. This phase occurs during the heart of a bear market. The economy is plagued by excess capacity and falling demand. This keeps commodity prices low and pulls down inflation. The yield curve steepens as the central bank lowers short-term rates in an attempt to stimulate growth and inflation. Bonds are the best asset class in this phase. Recovery phase (9:01 to 11:59): The central bank’s easing takes effect and begins driving growth to above the trend rate. Though growth picks up, inflation remains low because there’s still excess capacity. Rising growth and low inflation are the Goldilocks phase of every cycle. Stocks are the best asset class in this phase. Overheat phase(12:01 to 2:59): Productivity growth slows and the GDP gap closes causing the economy to bump up against supply constraints. This causes inflation to rise. Rising inflation spurs the central banks to hike rates. As a result, the yield curve begins flattening. With high growth and high inflation, stocks still perform but not as well as in recovery. Volatility returns as bond yields rise and stocks compete with higher yields for capital flows. In this phase, commodities are the best asset class. Stagflation phase (3:01 to 5:59): GDP growth slows but inflation remains high (sidenote: most bear markets are preceded by a 100%+ increase in the price of oil which drives inflation up and causes central banks to tighten). Productivity dives and a wage-price spiral develops as companies raise prices to protect compressing margins. This goes on until there’s a steep rise in unemployment which breaks the cycle. Central banks keep rates high until they reign in inflation. This causes the yield curve to invert. During this phase, cash is the best asset. Additional notes from Merrill Lynch: Cyclicality: When growth is accelerating (12 o'clock), Stocks and Commodities do well. Cyclical sectors like Tech or Steel outperform. When growth is slowing (6 o'clock), Bonds, Cash, and defensives outperform. Duration: When inflation is falling (9 o'clock), discount rates drop and financial assets do well. Investors pay up for long duration Growth stocks. When inflation is rising (3 o'clock), real assets like Commodities and Cash do best. Pricing power is plentiful and short-duration Value stocks outperform. Interest Rate-Sensitives: Banks and Consumer Discretionary stocks are interest-rate sensitive “early cycle” performers, doing best in Reflation and Recovery when central banks are easing and growth is starting to recover. Asset Plays: Some sectors are linked to the performance of an underlying asset. Insurance stocks and Investment Banks are often bond or equity price sensitive, doing well in the Reflation or Recovery phases. Mining stocks are metal price-sensitive, doing well during an Overheat. About the indicator: This indicator suggests iShares ETFs for sector rotation analysis. There are likely other ETFs to consider which have lower fees and are outperforming their sector peers. You may get errors if your chart is set to a different timeframe & ticker other than 1d for symbol/tickers GDPC1 or CPILFESL. Investment Clock settings are based on a "sustainable level" of growth and inflation, which are each slightly subjective depending on the economist and probably have changed since the last time this indicator was updated. Hence, the sustainable levels are customizable in the settings. When I was formally educated I was trained to use average CPI of 3.1% for financial planning purposes, the default for the indicator is 2.5%, and the Medium article backtested and optimized a 2% sustainable inflation rate. Again, user-defined sustainable growth and rates are slightly subjective and will affect results. I have not been trained or even had much experience with MetaTrader code, which is how this indicator was originally coded. See the original Medium article that inspired this indicator if you want to audit & compare code. Hover over info panel for detailed information. Features: Advanced info panel that performs Investment Clock analysis and offers additional hover info such as sector rotation suggestions. Customizable sustainable levels, growth input, and inflation input. Phase background coloring. ⚠ DISCLAIMER: Not financial advice. Not a trading system. DYOR. I am not affiliated with Medium, Macro Ops, iShares, or Merrill Lynch. About the Author: I am a patent-holding inventor, a futures trader, a hobby PineScripter, and a former FINRA Registered Representative.
Penunjuk Pine Script®
oleh BarefootJoey
3
+ Multi-timeframe Multiple Moving Average LinesThis is a pretty simple script that plots lines for various moving averages (what I think are the most commonly used across all markets) of varying lengths of timeframes of the user's choosing. Timeframes range from 5 minutes up to one month, so regardless if you're a scalper or a swing trader there should be something here for you. There are 8 lines (that can be turned on/off individually), which may seem like a lot, but if you use two averages and want to display four different timeframes for each, you can do that. The nice thing is that because the lines start plotting from the current bar they won't clutter up the screen. And obviously having moving averages from different timeframes on your chart makes price action more difficult to read (I mean sure, you can make them invisible, but who wants to do that all the time). For each line there are two labels. One with the moving average type, and the other with its specific timeframe. I can't include the moving average length because it's not a string input. If anyone has a workaround for this, let me know, otherwise I would simply recommend setting different colors depending on the length, or if you only use one or two lengths and one or two moving averages this shouldn't be an issue. I had to use two labels because for the label text I couldn't include more than one string input, this is why there is an input for the 'moving average type label distance.'' You will want to adjust this depending on if you are trading crypto, futures, or forex because in some cases there may still be label overlap. Pretty much everything else is self-explanatory. I've added alerts. I might need to modify them if I can, because it would be nice for them to state the name and timeframe of the moving average. But I think this will do for now. Enjoy!
Penunjuk Pine Script®
oleh ClassicScott
21
Historical US Bond Yield CurvePreface: I'm just the bartender serving today's freshly blended concoction; I'd like to send a massive THANK YOU to all the coders and PineWizards for the locally-sourced ingredients. I am simply a code editor, not a code author. Many thanks to these original authors! Source 1 (Aug 8, 2019): Source 2 (Aug 11, 2019): About the Indicator: The term yield curve refers to the yields of U.S. treasury bills, notes, and bonds in order from shortest to longest maturity date. The yield curve describes the shapes of the term structures of interest rates and their respective terms to maturity in years. The slope of the yield curve tells us how the bond market expects short-term interest rates to move in the future based on bond traders' expectations about economic activity and inflation. The best use of the yield curve is to get a sense of the economy's direction rather than to try to make an exact prediction. This indicator plots the U.S. yield curve as maturity (x-axis/time) vs yield (y-axis/price) in addition to historical yield curves and advanced data tickers . The visual array of historical yield curves helps investors visualize shifts in the yield curve that are useful when identifying & forecasting economic conditions. The bond market can help predict the direction of the economy which can be useful in crafting your investment strategy. An inverted 10y/2y yield curve for durations longer than 5 consecutive trading days signals an almost certain recession on the horizon. An inversion happens when short-term bonds pay better than longer-term bonds. There is Federal Reserve Board data that suggests the 10y3m may be a better predictor of recessions. Features: Advanced dual data ticker that performs curve & important spread analysis, plus additional hover info. Advanced yield curve data labels with additional hover info. Customizable historical curves and color theme. ‼ IMPORTANT: Hover over labels/tables for advanced information. Chart asset and timeframe may affect the yield curve results; I have found consistently accurate results using BINANCE:BTCUSDT on 1d timeframe. Historical curve lookbacks will have an effect on whether the curve analysis says the curve is bull/bear steepening/flattening, so please use appropriate lookbacks. ⚠ DISCLAIMER: Not financial advice. Not a trading system. DYOR. I am not affiliated with the original authors, TradingView, Binance, or the Federal Reserve Board. About the Editor: I am a former FINRA Registered Representative, inventor/patent holder, futures trader, and hobby PineScripter.
Penunjuk Pine Script®
oleh BarefootJoey
Inverse MACD + DMI Scalping with Volatility Stop (By Coinrule)This script is focused on shorting during downtrends and utilises two strength based indicators to provide confluence that the start of a short-term downtrend has occurred - catching the opportunity as soon as possible. This script can work well on coins you are planning to hodl for long-term and works especially well whilst using an automated bot that can execute your trades for you. It allows you to hedge your investment by allocating a % of your coins to trade with, whilst not risking your entire holding. This mitigates unrealised losses from hodling as it provides additional cash from the profits made. You can then choose to hodl this cash, or use it to reinvest when the market reaches attractive buying levels. Alternatively, you can use this when trading contracts on futures markets where there is no need to already own the underlying asset prior to shorting it. ENTRY The trading system uses the Momentum Average Convergence Divergence (MACD) indicator and the Directional Movement Index (DMI) indicator to confirm when the best time is for selling. Combining these two indicators prevents trading during uptrends and reduces the likelihood of getting stuck in a market with low volatility. The MACD is a trend following momentum indicator and provides identification of short-term trend direction. In this variation it utilises the 12-period as the fast and 26-period as the slow length EMAs, with signal smoothing set at 9. The DMI indicates what way price is trending and compares prior lows and highs with two lines drawn between each - the positive directional movement line (+DI) and the negative directional movement line (-DI). The trend can be interpreted by comparing the two lines and what line is greater. When the negative DMI is greater than the positive DMI, there are more chances that the asset is trading in a sustained downtrend, and vice versa. The system will enter trades when two conditions are met: 1) The MACD histogram turns bearish. 2) When the negative DMI is greater than the positive DMI. EXIT The strategy comes with a fixed take profit combined with a volatility stop, which acts as a trailing stop to adapt to the trend's strength. Depending on your long-term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive. The position is closed when: Take-Profit Exit: +8% price decrease from entry price. OR Stop-Loss Exit: Price crosses above the volatility stop. In general, this approach suits medium to long term strategies. The backtesting for this strategy begins on 1 April 2022 to 18 July 2022 in order to demonstrate its results in a bear market. Back testing it further from the beginning of 2022 onwards further also produces good returns. Pairs that produce very strong results include SOLUSDT on the 45m timeframe, MATICUSDT on the 2h timeframe, and AVAUSDT on the 1h timeframe. Generally, the back testing suggests that it works best on the 45m/1h timeframe across most pairs. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
Strategi Pine Script®
oleh Coinrule
1
Auto Trendline Indicator (based on fractals)A tool that automatically draws out trend lines by connecting the most recent fractals. Description: The process of manual drawing out trend lines is highly subjective. Many times, we don’t trade what we see, but what we “want to see”. As a result, we draw lines pointing to the direction that we wishfully want price to move towards. While there are no right/wrong ways to draw trend lines, there are, however, systematic/unsystematic ways to draw trend lines. This tool will systematically draw out trend lines based on fractals. Additional feature: This tool will also plot out symbols (default symbol “X”) to signify points of crossings. This can be useful for traders considering to use trend lines as part of their trading strategies. Here is an interesting observation on the price actions of NASDAQ futures on a 5 second chart during regular trading hours on July 14, 2022. It’s a phenomenon. People like to see straight lines connecting HL/LH, etc., so it's possible for the market as a whole to psychologically react to these lines. However, it is important to note that is is impossible to predict the direction of price. In the case above, price could have tanked below auto-drawn trend line. Fractal based trend lines should only be taken as references and regarded as price levels. No studies have ever proven that the slope of trend lines can indicate price's future direction. More about fractals: To understand more about fractals: www.investopedia.com www.tradingview.com Contrary to what it sounds like, fractal in "technical analysis" does not refer to the recursive self-repeating patterns that appear in nature, such as the mesmerizing patterns found in snowflakes. The Fractal Markets Hypothesis claims that market prices exhibit fractal properties over time. Assuming this assertion to be true, then fractals can be used a tool to represent the chaotic movements of price is a simplified manner. The purpose of this exercise is to take a tool that is readily available (ie. in this case, TradingView’s built-in fractals tool), and to create a newer tool based on it. Parameters: Fractal period (denoted as ‘n’ in code): It is the number of bars bounding a high/low point that must be lower/higher than it, respectively, in order for fractal to be considered valid. Period ‘n’ can be adjusted in this tool. Traditionally, chartists pick the value of 5. The longer it is, the less noise seen on the chart, and the pivot point may also be exhibited in higher timeframes. The drawback is that it will increase the period of lag, and it will take more bars to confirm the printed fractal. Others: Intuitive parameters such as whether to draw historical trend lines, what color to use, which way to extend the lines, and whether or not to show points of crossings.
Penunjuk Pine Script®
oleh DojiEmoji
64
A_HMS_EMAsthis is an indicator that have many essentials in one indicator and prevent from adding many indicator in chart Ichimoko clouds and 4 ema from number 19 , 33 , 66 , 199 and an spatial average ema with 2 color that help you to find trend Histomentu is a great Indicator that combine RSI Composit by RSi line and show momentum of price movement by a histogram for better use note that: red line is composite line green line is rsi line when composite line run away from histogram momemtum increase rapidly when composite and rsi line is in same way its time to get position . some futures is hidden by default: composite red and green signal line rmi of price with to color with momentum 4 ema 13, 33 of rmi as signal line finaly u can change any colors from setting in background we determine some fills for better use of Indicator for better use note that: 1_pivots show with tiny triangles bellow and above the candles red triangles for hi pivots and green triangles for low povots 2_ema19 , 66 , 199 shown on chart by default and you can change its source or length from settings 3- ichimoko cloud help you to determine demand and supply zones that those points are price target to go.
Penunjuk Pine Script®
oleh morady0hamid
Donchian with Trend IndicatorStandard Donchian Channels, this includes a Trend EMA which can be configured and the channels will use to give buy and sell signals. The channels are also colored in such a way to indicate a trend reversal. My favorite part that sets this apart from others is, if using the bClose option (which I recommend you do) the trend will not reverse until there is a close above/below the previous channel high/low. i.e. a reversal into an uptrend requires the current bar to close above the previous upper channel rather than just a new high. The coloring of the current trend allows for a quick read of current market conditions and I use this on any timeframe across all forms of charts (forex stock, futures, crypto, etc). When taking one of the signals I use the opposite channel as the stop loss (when buying use bottom, and selling use top channel)
Penunjuk Pine Script®
oleh theehoganator
1
Price Pivots for NSE Index & F&O StocksPrice Pivots for NSE Index & F&O Stocks What is this Indicator? • This indicator calculates the price range a Stock or Index can move in a Day, Week or Month. Advantages of this Indicator • This is a Leading indicator, not Dynamic or Repaint. • Helps to identify the tight range of price movement. • Can easily identify the Options strike price. • The levels are more reliable and authentic than Gann Square of 9 Levels. • Develops a discipline in placing Targets. Disadvantages of this Indicator • The indicator is specifically made for National Stock Exchange of India (NSE) listed index and stocks. • The indicator is calculated only for index NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY and Stocks listed in Futures and Options. • The indicator shows nothing for other indexes and stocks other than above mentioned. • The data need to be entered manually. • The data need to be updated manually when the F&O listed stocks are updated. Who to use? Highly beneficial for Day Traders, it can be used for Swing and Positions as well. What timeframe to use? • Any timeframe. • The highlighted levels in Red and Green will not show correct levels in 1 minute timeframe. • 5min is recommended for Day Traders. When to use? • Wait for proper swing to form. • Recommended to avoid 1st 1 hour or market open, that is 9.15am to 10.15 or 10.30am. • Within this time a proper swing will be formed. How to use? Entry • Enter when the Price reach closer to the Blue line. • Enter Long when the Price takes a pullback or breakout at the Red lines. Exit • Exit position when the Price reach closer to the Red lines in Long positions. What are the Lines? Gray Lines: • Every lines with price labels are the Strike Prices in the Option Chain from NSE website. • Price moves from 1 Strike Price level to another. • The dashed lines are average levels of 2 Strike Prices. Red & Green Lines: • The Red and Green Lines will appear only after the first 1 hour. • The levels are calculated based on the 1st 1 hour. • Red Lines are important Resistance levels, these are strong Bearish reversal points. It is also a breakout level, this need to be figured out from the past levels, trend, percentage change and consolidation. • Green Lines are important Support levels, these are strong Bullish reversal points. It is also a breakdown level, this need to be figured out from the past levels, trend, percentage change and consolidation. What are the Labels? • First Number: Price of that level. • Numbers in (): Percentage change and Change of price from LTP(Last Traded Price) to that Level. How to use? Entry: • Enter when price is closer to the Red or Green lines. • Enter after considering previous Swing and Trend. • Note the 50% of previous Swing. • Enter Short when price reverse from each level. • If 50% of swing and the pivot level is closer it can be a good entry. Exit: • Use the logic of Entry, each level can be a target. • Exit when price is closer to the Red or Green lines. Indicator Menu Source • Custom: Enter the price manually after choosing the Source as Custom to show the Pivots at that price. • LTP: Pivot is calculated based on Last Traded Price. • Day Open: Pivot is calculated based on current day opening price. • PD Close: Pivot is calculated based on previous day closing price. • PD HL2: Pivot is calculated based on previous day average of High and Low. • PD HLC3: Pivot is calculated based on previous day average of High, Low and Close. "Time (IST) (Vertical)" • This is a marker of every 1 hour. • Usually major price movement happen between previous day last 1 hour (2:15 pm) to today first 1 hour (10:15 pm). • Two swings can happen between first 2 hour of current day. • At the end of the day last 1 hour from 2.15 pm another important movement will happen. • Usually rest of the time won't show any interesting movement. To the Users • Certain symbols may show the levels as a single line. For such symbols choose a different Source or Timeframe from the indicator menu. • Please inform if any of the Symbol's price levels don't react to the pivots, include the Symbol a well. • Also inform if you notice any wrong values, errors or abnormal behavior in the indicator. • Feel free to suggest or adding new features and options. General Tips • It is good if Stock trend is same as that of NIFTY trend. • Lots of indicators creates lots of confusion. • Keep the chart simple and clean. • Buy Low and Sell High. • Master averages or 50%. • Previous Swing High and Swing Low are crucial.
Penunjuk Pine Script®
oleh Arun_K_Bhaskar
19
Goertzel Cycle Period [Loxx]Goertzel Cycle Period is an indicator that uses Goertzel algorithm to extract the cycle period of ticker's price input to then be injected into advanced, adaptive indicators and technical analysis algorithms. The following information is extracted from: "MESA vs Goertzel-DFT, 2003 by Dennis Meyers" Background MESA which stands for Maximum Entropy Spectral Analysis is a widely used mathematical technique designed to find the frequencies present in data. MESA was developed by J.P Burg for his Ph.D dissertation at Stanford University in 1975. The use of the MESA technique for stocks has been written about in many articles and has been popularized as a trading technique by John Ehlers. The Fourier Transform is a mathematical technique named after the famed French mathematician Jean Baptiste Joseph Fourier 1768-1830. In its digital form, namely the discrete-time Fourier Transform (DFT) series, is a widely used mathematical technique to find the frequencies of discrete time sampled data. The use of the DFT has been written about in many articles in this magazine (see references section). Today, both MESA and DFT are widely used in science and engineering in digital signal processing. The application of MESA and Fourier mathematical techniques are prevalent in our everyday life from everything from television to cell phones to wireless internet to satellite communications. MESA Advantages & Disadvantage MESA is a mathematical technique that calculates the frequencies of a time series from the autoregressive coefficients of the time series. We have all heard of regression. The simplest regression is the straight line regression of price against time where price(t) = a+b*t and where a and b are calculated such that the square of the distance between price and the best fit straight line is minimized (also called least squares fitting). With autoregression we attempt to predict tomorrows price by a linear combination of M past prices. One of the major advantages of MESA is that the frequency examined is not constrained to multiples of 1/N (1/N is equal to the DFT frequency spacing and N is equal to the number of sample points). For instance with the DFT and N data points we can only look a frequencies of 1/N, 2/N, Ö.., 0.5. With MESA we can examine any frequency band within that range and any frequency spacing between i/N and (i+1)/N . For example, if we had 100 bars of price data, we might be interested in looking for all cycles between 3 bars per cycle and 30 bars/ cycle only and with a frequency spacing of 0.5 bars/cycle. DFT would examine all bars per cycle of between 2 and 50 with a frequency spacing constrained to 1/100. Another of the major advantages of MESA is that the dominant spectral (frequency) peaks of the price series, if they exist, can be identified with fewer samples than the DFT technique. For instance if we had a 10 bar price period and a high signal to noise ratio we could accurately identify this period with 40 data samples using the MESA technique. This same resolution might take 128 samples for the DFT. One major disadvantage of the MESA technique is that with low signal to noise ratios, that is below 6db (signal amplitude/noise amplitude < 2), the ability of MESA to find the dominant frequency peaks is severely diminished.(see Kay, Ref 10, p 437). With noisy price series this disadvantage can become a real problem. Another disadvantage of MESA is that when the dominant frequencies are found another procedure has to be used to get the amplitude and phases of these found frequencies. This two stage process can make MESA much slower than the DFT and FFT . The FFT stands for Fast Fourier Transform. The Fast Fourier Transform(FFT) is a computationally efficient algorithm which is a designed to rapidly evaluate the DFT. We will show in examples below the comparisons between the DFT & MESA using constructed signals with various noise levels. DFT Advantages and Disadvantages. The mathematical technique called the DFT takes a discrete time series(price) of N equally spaced samples and transforms or converts this time series through a mathematical operation into set of N complex numbers defined in what is called the frequency domain. Why would we what to do that? Well it turns out that we can do all kinds of neat analysis tricks in the frequency domain which are just to hard to do, computationally wise, with the original price series in the time domain. If we make the assumption that the price series we are examining is made up of signals of various frequencies plus noise, than in the frequency domain we can easily filter out the frequencies we have no interest in and minimize the noise in the data. We could then transform the resultant back into the time domain and produce a filtered price series that hopefully would be easier to trade. The advantages of the DFT and itís fast computation algorithm the FFT, are that it is extremely fast in calculating the frequencies of the input price series. In addition it can determine frequency peaks for very noisy price series even when the signal amplitude is less than the noise amplitude. One of the disadvantages of the FFT is that straight line, parabolic trends and edge effects in the price series can distort the frequency spectrum. In addition, end effects in the price series can distort the frequency spectrum. Another disadvantage of the FFT is that it needs a lot more data than MESA for spectral resolution. However this disadvantage has largely been nullified by the speed of today's computers. Goertzel algorithm attempts to resolve these problems... What is the Goertzel algorithm? The Goertzel algorithm is a technique in digital signal processing (DSP) for efficient evaluation of the individual terms of the discrete Fourier transform (DFT). It is useful in certain practical applications, such as recognition of dual-tone multi-frequency signaling (DTMF) tones produced by the push buttons of the keypad of a traditional analog telephone. The algorithm was first described by Gerald Goertzel in 1958. Like the DFT, the Goertzel algorithm analyses one selectable frequency component from a discrete signal. Unlike direct DFT calculations, the Goertzel algorithm applies a single real-valued coefficient at each iteration, using real-valued arithmetic for real-valued input sequences. For covering a full spectrum, the Goertzel algorithm has a higher order of complexity than fast Fourier transform (FFT) algorithms, but for computing a small number of selected frequency components, it is more numerically efficient. The simple structure of the Goertzel algorithm makes it well suited to small processors and embedded applications. The main calculation in the Goertzel algorithm has the form of a digital filter, and for this reason the algorithm is often called a Goertzel filter Where is Goertzel algorithm used? This package contains the advanced mathematical technique called the Goertzel algorithm for discrete Fourier transforms. This mathematical technique is currently used in today's space-age satellite and communication applications and is applied here to stock and futures trading. While the mathematical technique called the Goertzel algorithm is unknown to many, this algorithm is used everyday without even knowing it. When you press a cell phone button have you ever wondered how the telephone company knows what button tone you pushed? The answer is the Goertzel algorithm. This algorithm is built into tiny integrated circuits and immediately detects which of the 12 button tones(frequencies) you pushed. Future Additions: Bartels test for cycle significance, testing output cycles for utility Hodrick Prescott Detrending, smoothing Zero-Lag Regression Detrending, smoothing High-pass or Double WMA filtering of source input price data References: 1. Burg, J. P., ëMaximum Entropy Spectral Analysisî, Ph.D. dissertation, Stanford University, Stanford, CA. May 1975. 2. Kay, Steven M., ìModern Spectral Estimationî, Prentice Hall, 1988 3. Marple, Lawrence S. Jr., ìDigital Spectral Analysis With Applicationsî, Prentice Hall, 1987 4. Press, William H., et al, ìNumerical Receipts in C++: the Art of Scientific Computingî, Cambridge Press, 2002. 5. Oppenheim, A, Schafer, R. and Buck, J., ìDiscrete Time Signal Processingî, Prentice Hall, 1996, pp663-634 6. Proakis, J. and Manolakis, D. ìDigital Signal Processing-Principles, Algorithms and Applicationsî, Prentice Hall, 1996., pp480-481 7. Goertzel, G., ìAn Algorithm for he evaluation of finite trigonometric seriesî American Math Month, Vol 65, 1958 pp34-35.
Penunjuk Pine Script®
oleh loxx
15