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Trend Analizi

Best Supertrend CCI StrategyHello traders Someone requested the strategy version of the Supertrend CCI indicator It's a Supertrend not based on candle close but based on a CCI ( Commodity Channel Index ) How does it work? Bull event: CCI crossing over the 0 line Bear event: CCI crossing below the 0 line When the event is triggered, the script will plot the Supertrend as follow UP Trend = High + ATR * Factor DOWN Trend = Low - ATR * Factor This is an alternative of the classical Supertrend based on candle close being above/beyond the previous Supertrend level. Hope you'll enjoy it and it will improve your trading making you a better trader Dave
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Daveatt tarafından
13
Strategy Test - Cancel Limit Order and Position SizingWhile working thru another project had the need to troubleshoot the canceling of a limit order syntax/process as well as work thru the code and logic to automagically set the position sizing based off two user inputs (Amount to Risk in USD and Leverage to Use) and the potential entry and stop levels for an inside bar candle pattern in this scenario. Once we find the distance between the entry and stop level we can figure out the stop percentage amount which matches up with what a user would see manually drawing using the long or short tool in tradingview. Once we have the user inputs and levels we can get an amount to be used in later qty= type of places in zeeee pine script....
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JoshuaMcGowan tarafından
5
Noro's BottomSensivity v0.6 strategy + rsi + AlarmThe original indicator is Noro's BottomSensivity v0.6 I simply turned noro's bottom sensibility 6.0 indicator, which I consider a great tool to find market bottom, into a strategy. I also added an additional RSI filter with inputs that can be set by the user for entry and exit from the market. I have tried to insert an alarm so that I can be notified when this particular purchase condition is formed. I also tried to insert an additional filter that would allow me to make further pyramid purchases only after a certain percentage of drawdown from the first entry so as to reduce the average purchase price but I was not able ... if someone could implement this I would appreciate it. Well..this is the first time that I try to program / modify a strategy / indicator, there are certainly some gross errors (as in my English too), please forgive me, I will appreciate the corrections that more experienced users will want to make. I wish you all a good day, pfjons
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pfjons tarafından
EASYMOKU INDICATORThis is the popular Ichimoku Indicator with an easier way to adjust the settings that can help you in your trading. Components of the Ichimoku indicator: Tenkan Sen: Basically it is a moving average that goes from 7 to 9 periods. Kijun Sen: Like Tenkan Sen, we are facing a moving average, but this time from 22 to 26 periods. Chikou Span: It is the one that represents the current price, but reflected in 22 to 26 periods back. Senkou Span A: Unlike Chikou Span, this line is drawn over the next 22 to 26 periods, and its calculation is obtained from the average between Tenkan Sen and Kijun Sen. It is a projected average in the future. Senkou Span B: It is the result of calculating the average between the maximum and minimum over the last 44 to 52 periods, representing the following 22 to 26 periods (as well as the Senkou Span A) As with Occidental trading systems, based on the crossings of averages, with the Ichimoku we will use the crossing of the Tenkan Sen (fast moving average) with the Kijun Sen (slow moving average) as buying and selling signals. Strategy of this script: A strong bullish signal is when price and Chikou Span rises above Kumo cloud and Tenkan Sen cross above Kijun Sen. A strong bearish signal is when price and Chikou Span falls below Kumo cloud and Tenkan Sen croos under Kijun Sen.
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UnknownUnicorn2151907 tarafından
6
Grover Llorens Activator Strategy AnalysisThe Grover Llorens Activator is a trailing stop indicator deeply inspired by the parabolic SAR indicator, and aim to provide early exit points and reversal detection. The indicator was posted not so long ago, you can find it here : Today a strategy using the indicator is proposed, and its profitability is analyzed on 3 different markets with the main time frame being 1 hour, remember that lower time frames involve lower absolute price changes, therefore we are way more affected by the spread, and we can require a larger position sizing depending on our investment target, trading higher time-frames is always a good practice and this is why 1 hour is selected. Based on the result we might make various conclusions regarding the indicator accuracy and might have ideas on future improvements of the indicator. I'am not great when it comes to strategy design, i still hope to share correct and useful information in this post, let me know your thoughts on the post format and if i should make more of these. Setup And Rules The analysis is solely based on the indicator signals, money management isn't taken into account, this allow us to have an idea on the indicator robustness and resilience, particularly on extremely volatile markets and ones exhibiting a chaotic structure, altho it is normally good practice to close any position before a market closure in order to avoid any potential major gaps. The settings used are 480 for length and 14 for mult, this create relatively mid term signals that are suited for a trend indicator such as the Grover Llorens Activator, unfortunately we can't infer the indicator optimal settings, thats how it is with any technical indicator anyway. Here are the rules of our strategy : long : closing price cross over the indicator short : closing price cross under the indicator We use constant position sizing, once a signal is triggered all the previous positions are closed. Description Of The Statistics Used Various statistics are presented in this post, here is a brief description of the main ones : Percent Profitability (higher = better): Percentage of winning trades, that is : winning trades/total number of trades × 100 Maximum Drawdown (lower = better) : The highest difference between a peak and a valley in the balance, that is : peak - valley , in percentage : (peak - valley)/peak × 100 Profit Factor (higher = better) : Gross profit divided by gross loss, values under 1 represent gross losses superior to the gross profits Remember that more volatility = more risk, since higher absolute price changes can logically cause larger losses. EURUSD The first market analyzed is the Forex market with the EURUSD major pair with a position sizing of 1000 units (1 micro lot). Since October EURUSD is not showing any particular strong trend but posses a discrete rising motion, fortunately cycles can be observed. The equity was rising until two trades appeared causing a decline in the equity. Before October a bearish market could be observed. We can see that the equity is rising, the trend still posses various retracements that affect our indicator, however we can see that the indicator totally nail the end of the trend, thats the power of converging toward the price. In short : $ 86.63 net profit 340 closed trades 37.65 % profitable (thats a lot of loosing trades) 1.19 profit factor $ 76.67 max drawdown Applying a spread would create negative results (in general the average spread is used), not a great start... BTCUSD The cryptocurrency market is relatively more volatile than others, which also mean potentially higher returns, we test the indicator using certainly the most traded cryptocurrency, BTCUSD. We will use a position sizing of 1 unit. In the case of BTCUSD the strategy balance is relatively stationary around the initial capital, with of course high dispersion. from september to december the market is bearish with various ranging periods, no apparent cycles can be observed, except maybe in the ranging period of october, this ranging period is followed by a non linear trend (relatively parabolic) that the indicator failed to capture in its integrity (this is a recurrent problem and it is starting to piss me off xD). In short : $ 2010.64 net profit (aka how i bet the crypto market) 395 closed trades 38.23 % profitable 1.036 profit factor $ 5738.01 max drawdown (aka how i lost to the crypto market) AMD AMD stand for Advanced Micro Devices and is a company focused on the development of computer technology, i love the microprocessor market and i really like AMD who start this year in a pretty great way with a net bullish trend. The performance of the indicator on AMD is decent (at last !) with the equity producing many new higher highs. The indicator performance still drop in the middle end of 2019 with a large equity drawdown of 17$ caused by the gap of august 8. Unfortunately AMD, like lot of well behaving stocks can only tells us that the indicator has good performances on heavily trending markets with no excess of noise or chaotic structures. In short : $ 17.86 net profit (Enough for a consistent lunch) 295 closed trades 36.27 % profitable 1.414 profit factor $ 10.37 max drawdown. Conclusion A strategy using the recently proposed Grover Llorens activator has been presented. We can easily conclude that the indicator can't possibly generate long term returns under chaotic and volatile markets, and could even produce unnecessary trades in trending markets without much parasitic fluctuations such as noise and retracements (think about a simple linear trend) since the indicator converge toward the price and would therefore automatically cross over/under the trend, thus guaranteeing a false signal. However we have seen its ability to provide accurate early reversal detection shine from time to time, thus over performing lagging indicators in this aspect, however the duration of price fluctuations isn't fixed at a certain period, the rate of convergence should be way faster during volatile fluctuations, of moderate speed during more cyclic fluctuations, and really slow with apparent long term trends, this could be achieved by making the indicator adaptive, but it won't really make it necessarily perform better. That said i still believe that converging trend indicators are really interesting and aim to capture the non lasting behavior of price fluctuations, they shouldn't receive so much hate (think about the poor p-sar). Thanks for reading !
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alexgrover tarafından
20