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Quadruple EMA + MACD + Awesome Oscillator by ZekisThis strategy is based on quadruple EMAs, MACD and Awesome Oscillator, developed by Nenad Kerkez and simplified by me. Scalping strategy (lower time frames) Entry Position Before we take a buy trade the two above criteria must be met. The 144 EMA must be above the 176 EMA and the 36 EMA must be above the 44 EMA. We then wait for AO to fall below the 0. The final „trigger‟ to the entry is when the MACD closes above the 0 line. Sell trade is vice versa. 36 EMA must be below 44 EMA and 144 EMA must be below 176 EMA. TAKE PROFIT and STOP LOSS 10-40 pips. Pivot Point targets. STOP LOSS above/below last highest high Enjoy! @Zekis
Indicatore Pine Script®
di edward_Z
1
PpSignal Korean Strategysimple trading system for any time not exceeding 4 hours or D in stock. configuration: for futures, forex, bitcoin and assets that operate 24 hours, put the candle converter in D if you are in a chart less than 1H, for 4H charts and daily put candle coverter in W. IF YOU ARE GOING TO OPERATE STOCK BONDS ETC. ONLY ONE-DAY ACTIVITIES DAY, USE THE CANDLE CONVERTER IN D ... Operative If the background is green, only take buy positions, the bars will be painted in lime color. If the background is dark red, only take the beams of sell, the bars will be red
Indicatore Pine Script®
di PpSignal01
7
Adaptive Zero Lag EMA [STUDY]A user has asked for the Study/Indicator version of this Strategy . If you encounter the error "loop....>100ms" simply toggle the eye icon to hide and unhide the indicator The following is simply quoted from my previous post for your convenience: (obviously there won't be risk, Stop Loss, or Take profit parameters!) OPERATING PRINCIPLE The strategy is based on Ehlers idea that any indicator can be turned into a signal-producing trade system through smoothing and other filtering processes. In fact, I'm using his Zero Lag EMA ( ZLEMA ) as a baseline indicator as well as some code snippets he has made public (1). God bless open source! Next, I've provided the option to use an Instantaneous Frequency Measurement (IFM) method, which will adaptively choose the best period for the ZLEMA (2) I've written other studies that use the differential calculus approximations for IFM, so it was only natural to include them in this strategy. The primary two are Cosine IFM (3) and In-phase Quadrature IFM (4). You can also find an indicator with both plotted and the ability to average them together, as one IFM prefers long periods and the other short. (5) BEFORE WE BEGIN 1. This strategy only runs on "normal" FX pairs ( EURUSD , GBPJPY , AUDUSD ...) and will fail on Metals or Commodities. Cryptos are largely untested. 2. Please run it on these time frames: M15 to D. Anything outside this range will likely fail. HOW TO USE AND SUCCEED 1. If the Default settings don't produce good results right off the bat, then lower gain limit to 1 or 2 and threshold to 0.01. 2. Test each setting under adaptive method. If you want to leave it Off, then I'd recommend using some kind of IFM (see my links below) to discover the most efficient period to use. 3. Once you have the best adaptive method chosen, begin incrementing gain limit until you find a nice balance between profit factor ( PF ) and drawdown. 4. Now, begin incrementing threshold. The goal is to have PF above 2 and a drawdown as low as possible. 5. Finally, change the source! Typically, close is the best option, but I have run into cases where high yielded the highest returns and win rate. 6. Sit back, relax, and tweak the risk until you're happy with the return and drawdown amounts. ADVANCED You may need to adjust take profit (TP) points and stop loss (SL) points to create the best entry possible. Don't be greedy! You'll likely have poor results if the TP is set to 300 and SL is 50. If you are trading a pair that has a long Dominant Cycle Period, then you may increase Max Period to allow the IFM to accept longer periods. Any period above the Max Period will be rejected. This may increase lag time! Cheers and good luck trading! -DasanC (1)www.mesasoftware.com (2)www.jamesgoulding.com (3) Cosine IFM (4) I-Q IFM (5) Averaging IFM IFM stands for Instantaneous frequency measurement
Indicatore Pine Script®
di DasanC
3
Adaptive Bandpass Filter [Ehlers]This is my latest bandpass filter - used to determine if a security is in a trend or cycle. Now with an adaptive period setting! I use Ehlers in-phase & quadrature dominant cycle measurement (IQ IFM) method to set the period dynamically. This method favors longer periods which tend to produce smoother, albeit laggier bandpass oscillator plots. From my quick tests, I tend to have lag between 4 and 8 bars, depending on the Timeframe. The lower timeframes tend to have more noise and thus produce more interfering frequencies that may cause lag. >Settings Source: Select the data source to perform calc's on (close, open, etc...) Period: Select the period to tune. Periods outside of this value will be attenuated (reduced) Adaptive: Enable to have the I-Q IFM set the period for you (disables Period setting) Bandpass Tolerance: Allow periods that are plus/minus the chosen period to pass. Cycle Tolerance: Sensitivity of cycle mode. Lower values consider trends more frequent, higher values consider cycles more frequent. Bandpass tolerance example: for instance, if this setting is 0.1 (10%) and Period is set to 20, then waves with a period of 18 - 22 will pass. >How to read Red line is the bandpass output, showing a lagged version of the dominant cycle representing the Black lines are the upper and lower bounds for a cycle Green Background indicates an uptrend Red background indicates a downtrend
Indicatore Pine Script®
di DasanC
2
[astropark] Long-Short Strategy V2Buy/Long at next candle's open price when you see a green "B" label on the screen, considering green cloud as support for more buys/longs Sell/short at next candle's open price when you see a red "S" label on the screen, considering red cloud as resistance for more shorts If you appreciate my script, offer me a coffee, a beer, a pizza :) BTC jar: 1K5kuYQPEqoNo6GRmJbHWMPmqwKM5S3oRR ETH jar: 0x091b541a6dd6fe08c4e7bd909baafb2fce9b975e LTC jar: LSVoAChsZrVsvbNyUfdpxtFpDAUSaUTUig XRP jar: (XRP deposit tag) 103997763 (XRP deposit address) rEb8TK3gBgk5auZkwc6sHnwrGVJH8DuaLh PS: Do you need a customization or do you need a dev who implements your strategy? send me a private message ;-)
Indicatore Pine Script®
di astropark
22
PpSignal Variable Index Dynamic Average V2The Moving Average is, perhaps, the most popular indicator in trading for a reason. Comparatively, the crossing average can tell you plenty about a trend, i.e. whether it’s broken or unbroken, changing or holding. But the Moving Average isn’t perfect; there is one area where it falls short and that is volatility. Even an Exponential Moving Average, which places more emphasis on the latest data, can miss the mark when it comes to a sudden change in volatility, rising or falling. Consequently, it can either give a fake signal or else generate a signal only when it is too late to trade on. Volatility is where the Variable Index Dynamic Average comes in, or VIDYA for short. The Variable Index Dynamic Average or VIDYA was developed by Tushar Chande, and its focus is precisely on volatility. In other words, the VIDYA is an average that adjusts itself to changing volatility. When volatility is high, the VIDYA becomes more sensitive and when volatility is low, the VIDYA becomes less sensitive. That allows you to assess the trend according to current market conditions (and not irrelevant conditions that had earlier prevailed). The VIDYA in Essence The math behind the VIDYA formula is quite complicated, but the logic is not. The VIDYA essentially has two components, the first being the Exponential Moving Average (aka EMA). The second indicator is in the “oscillator family” and it is known as the Chande Momentum Oscillator (aka CMO). Like most oscillators, the Chande Momentum Oscillator generates a signal of -100 and 100, with -100 being oversold and 100 overbought. The EMA is the anchor index, and the CMO’s job is to adjust the exponential average to volatility. The closer the CMO is to 100 or -100 the higher the volatility and the more sensitive our exponential average will turn. Conversely, the closer the CMO is to 0 the less sensitive our exponential average will turn. The final reading after the volatility adjustment is the VIDYA. As you can see below, once you add the Variable Index Dynamic Average in MetaTrader you get a window with two parameters from which to choose: One is the Period CMO and the other is Period EMA. We can then decide which period the CMO will run on (and thus affect the sensitivity of our EMA) and which period the EMA will run on (to capture our trend). Usually, the best CMO to plug in is a third of the value of the EMA duration; this is to allow the latest change in volatility to impact to the greatest degree. If the CMO period is too long, it will likewise spread over the period too long and consequently fail to reflect current levels of volatility, thus defeating the VIDYA’s purpose. VIDYA Comparing the VIDA to the EMA When we compare the two, we can see the clear advantages the VIDYA(Red) has over the EMA(Green). Both the VIDYA and the EMA run on a 30-week period, but the VIDYA is smoothed out by the Chande Momentum Oscillator running on a 10-week period (again, a third of the whole period). The VIDYA simply captures the trend much more accurately. We can see how, in Point A, when momentum weakens, the Variable Index Dynamic Average starts to flatten, while the EMA just moves across the price and fails to adjust. This quality is especially beneficial when we want to get an indication if a trend has broken or not. The EMA, in this case, suggests the trend has, indeed, broken but when we look at the VIDYA we quickly get a more accurate picture. We can see that the downtrend has not been broken which allows us to prepare for another bearish round rather than mistakenly expect a rebound. VIDYA Of course, for every upside there is a downside and the downside of the VIDYA is that it becomes less effective on a very high duration, such as above 90. The Chande Momentum Oscillator cannot reflect sentiment very well when the duration ןד high and therefore it stops being effective at balancing the Exponential Moving Average within the Variable Index Dynamic Average. One way to tackle or mitigate this is to go higher in the intervals whenever possible, such as from days to weeks or weeks to months. Nonetheless, you should be cognizant of this in inherent weakness in the Variable Index Dynamic Average. Yet, despite that, the Variable Index Dynamic Average does a very effective job. If you are trading under volatile conditions and want to figure out if a trend is broken or set to continue, the Variable Index Dynamic Average could be the solution. When combined with other indicators of momentum, the VIDYA can give you the bigger, clearer picture. www.onestepremoved.com
Indicatore Pine Script®
di PpSignal01
3