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Triple Exponential Moving AveragesIn this above indicator, one can plot 3 indicators simultaneously where, 200ema can be used to watch on-going long term trend, dynamic support levels for an instrument 50ema can be combined with 200ema forming a Golden Cross strategy, 50ema can be used as short term support and resistance as well. Lastly, 20ema could be your swing entry, exit, pullback support/resistance, triple crossover for an Ambush entry, Retest entry, etc. it is one of the most versatile setup where you can trade an instrument by crosschecking and confirming with multiple parameter
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YashParakh tarafından
1
A simple double moving average system# This simple code is describing the double moving average system, thanks for the contribution of Lei and jchang264 # The moving average system is including the SMA(20,60,120) and EMA(20,60,120), which use the different colours and style # The bar is using the different colours to describe the different state, for example the black one mean the season of the trendy didn't form, the blue mean to reach the first phase of the trendy, the state of gray bar just between the black and blue, The gold one mean the season of the trend has already forming (SMA20 > SMA60 > SMA120), which one I think it is important. # Price mark mean the deduction price of 20, 60 and 120
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wy2333 tarafından
1
MACD + PSAR SetupThis indicator combines 3 elements:- 1. MACD which will act as a source of potential Buy Signal 2. PSAR which provides the confirmation for buy signal and for potential Buy on Dip Strategy 3. Breakout candles which provides the confirmation signal for Buy on Breakout strategy 4. The direction of the trend is provided by the Exponential Moving Average The strategy is to have any counters which has triggered the MACD Golden Cross signal. These counters are to be out under watchlist for further confirmation. The Buy Signal is confirmed when:- 1. Price is above EMA Direction(standard is set at 200) 2. PSAR has given the Buy Signal OR a Breakout Candle occurs. Buy Signal is shown with a Green Diamond symbol whilst the Sell Signal is shown in Red Diamond Symbol. The bullish and bearish condition is set via a green and red background The MACD and PSAR codes are derived from the standard codes which is available in tradingview.
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MIYsaham tarafından
3
MJ ECT== One Line Introduction == ECT is a multi-level, trend focused technical indicator based on a three-step hierarchical approach - comprising the tide, wave, and ripple - to trend identification. == Indicator Philosophy == The author believes that market trends can be understood in a three-step hierarchy, with tide at the top, wave in the middle, and ripple at the bottom, corresponding to long-, middle-, and short-term momentum in the stock price. This indicator therefore comprises three technical indicators which aims to reflect the abovementioned features of a trend. These three components are True Strength Index (TSI), Exponential Moving Averages ( EMA ), and Commodity Channel Index ( CCI ). == Indicator Components and Breakdown == True Strength Index (TSI) -> Tide A 20-period TSI is used to visualize the bullish or bearish sentiment surrounding the stock. Crossovers above the zero line are interpreted as bullish while crossovers below the zero line are interpreted as bearish . This is painted into the background where green represents bullish and red represents bearish . While the background is red ( bearish ), no bullish positions should be taken. Hence, the TSI painted background acts as a directional bias filter and going against the bias is not recommended. After understanding the directional bias, the user can delve further into the areas of value for the stock in the Wave. Exponential Moving Averages ( EMA ) -> Wave Four EMA are used (20, 50, 100, 200) to identify the dynamic support and resistance waves in a trending market. Stock price pullbacks into any of these EMA represent areas of value where the user can consider taking positions. The correct EMA to use depends on individual stock's behavior, with multiple bounces on a specified EMA being the priority. After understanding which wave best reflects the area of value of a stock, the user can move on to the Ripple to time their entries. Commodity Channel Index ( CCI ) -> Ripple A 5-period CCI is used to identify short-term oversold conditions where prices are on discount. Discount is defined by the 5-period CCI crossing below -100 as it reflects a weekly oversold condition. The indicator will display a small triangle below the candle when this condition is met. == Ready To Deploy Field Manual == When background is painted red, do nothing. When background is painted green, begin thinking of bullish opportunities. Look for the specific EMA that has the most bounces of stock price in recent months, this is the area of value to look for buying opportunity. For the candles that intersect the EMA you identified above, watch for the appearance of a small triangle below the candle that tells you the entry timing. When the entry timing signal triangle appears, remember the High of that candle and buy your position when the subsequent candle breaks above this High. If the High is not broken above in the next immediate candle, remember the newer High of the newer candle (basically follow / trail the latest High until a break above is hit). If the background turns from green to red, stop following the High and do not enter because the market sentiment has changed to bearish . If you are holding an existing position and the background turns red, consider exiting the position. You may consider remembering the Low of the candle and exit your position if this Low is broken below on a subsequent candle. == Best Wishes == The author wishes the best success for all users of this technical indicator.
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TheInvestingCloud tarafından
1
Combined Momentum MA (Equal-Length EMA/SMA Crossover)Overview: This momentum and trend-following strategy captures the majority of any trending move, and works well on high timeframes. It uses an equal-period EMA and SMA crossover to detect trend acceleration/deceleration, since an EMA places a greater weight and significance on the most recent data. To reduce noise and optimize entries, we combined this with an overall trend bias for further confluence. How it works: Signals are determined by the crossover of an EMA and SMA of the same length, e.g. EMA-50 and SMA-50. The overall trend bias is determined using a slower SMA golden/death cross, e.g. SMA-50 and SMA-100. The signal is stronger when it occurs in confluence with the overall trend bias, e.g. when EMA-50 crosses over SMA-50, while above the SMA-100. This is analogous to only opening long positions in a bull market. Indicator description: GREEN: Up Trend (EMA is above SMA, while EMA is above BIAS_MA. This shows a bullish confluence.) YELLOW: No Trend (EMA/SMA crossover and BIAS_MA are not in confluence.) RED = Down Trend (EMA is below SMA, while EMA is below BIAS_MA. This shows a bearish confluence.)
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Cryptoluc1d tarafından
3
Equal-Length EMA/SMA Crossover Momentum StrategyOverview: This momentum and trend-following strategy captures the majority of any trending move, and works well on high timeframes. It uses an equal-period EMA and SMA crossover to detect trend acceleration/deceleration, since an EMA places a greater weight and significance on the most recent data. This version is optimized for longs, and designed to cut your losses quickly and let your winners run. To reduce noise and optimize entries, we combined this with an overall trend bias for further confluence. How it works: Signals are determined by the crossover of an EMA and SMA of the same length, e.g. EMA-50 and SMA-50. The overall trend bias is determined using a slower SMA golden/death cross, e.g. SMA-50 and SMA-100. The signal is stronger when it occurs in confluence with the overall trend bias, e.g. when EMA-50 crosses over SMA-50, while above the SMA-100. This is analogous to only opening long positions in a bull market. Signal description: Trend Buy: EMA crosses above SMA, and overall trend bias is bullish. Buying is in confluence with the overall trend bias. Risky Buy: EMA crosses above SMA, and overall trend bias is bearish. Buying is early, more risky, and not in confluence with the overall trend bias. Late Buy: SMA crosses above BIAS_SLOW. This gives further confirmation of bullish trend, but signal comes later. Sell: EMA crosses under SMA. Strategy entry and exit conditions: This version enters a Long when "TREND BUY" is signalled. This version has Sell/Shorts disabled because UP ONLY. Long entry: Strategy enters Long when EMA is above SMA, while overall trend bias is bullish. Long exit: Close long when EMA crosses under SMA.
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Cryptoluc1d tarafından
2
Bollinger Band with Fib Golden Ratio (0.618)This startegy uses Fib level (0.618) of Bollinger Band for long entry. I find this is the only strategy which gives similar results on the different time frames. I have tested QQQ for 1H, 2H , 3H and 4H charts , all showed over 70% winning rate. BB settings 50 , mult 1.5 (or you can use 2.5 or 3 ) Note: for the basis I have used VWMA instead of SMA . BUY ========= ema 50 is above ema 200 when the price close or low touches BB50(Fib0.615) lower band Exit ========= when the price crossover BB50(Fib0.615) upper band Stop Loss ========= Stop oss set to 5% , configurable Strategy works similar to mean reversion style. When it touches the lower bans (which 0.615 level of the BB50) , it bounces from there. Warning ========= This strategy is for educational purposes only. Please do your own reserach for trading decissions.
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eemani123 tarafından
9
ATI Action PointATI Action Point V. 1.0 Last update 5/2/21 Easy Signal by Coloring Green Buy and Red Sell. EMA cross technique. It have 3 level of graph color, use to decide trend to buy or sell by your confidence. I design for Thai Stock, SET50 Future timeframe 30 minute. And you could try to Stock, Forex, Gold, Crypto etc. But you have to select you're the best timeframe. If it have too much Buy and Sell Signal, you may confuse. Then you could choose another timeframe. Trick is, 1. Do not select small timeframe if you don't have time to monitor. 2. Do not change timeframe too much times, It may cause you confuse, loose the trend and ruin your invest. Have a good times to make money. sincery by PormorThai
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PormorThai tarafından
Technical checklistNo one indicator is perfect. People always have their favorite indicators and maintain a bias on weighing them purely on psychological reasons other than mathematical. This technical checklist indicator collected 20 common indicators and custom ones to address the issue of a bias weighted decision. Here, I apply machine learning using a simple sigmoid neuron network with one hidden layer and a single node to avoid artifacts. For the ease of data collection, the indicator matrix is first shown as a heatmap. Once an uptrend signal window is selected manually, an indicator matrix can be recorded in a binary format (i.e., 1 0 0 1 1 0, etc.). For example, the following indicator matrix was retrieved from the MRNA chart (deciscion: first 5 rows, buying; last 5 rows, no buying): 1 1 0 0 0 1 1 1 1 1 0 1 0 0 1 1 0 1 1 1 1 1 0 0 1 1 1 0 0 0 1 0 1 1 0 1 0 1 1 1 0 0 1 1 0 1 0 0 0 1 1 1 0 0 1 0 0 1 0 0 1 1 0 0 0 1 1 1 1 1 1 0 1 0 0 1 0 1 0 0 0 0 1 1 0 1 1 1 0 1 1 1 0 1 1 1 0 1 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 0 0 1 0 0 1 1 1 1 0 0 0 0 1 0 0 0 0 1 0 0 1 1 0 1 1 1 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 1 1 1 0 0 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 1 1 1 This matrix is then used as an input to train the machine learning network. With a correlated buying decision matrix as an output: 1 1 1 1 1 0 0 0 0 0 After training, the corrected weight matrix can be applied back to the indicator. And the display mode can be changed from a heatmap into a histogram to reveal buying signals visually. Usage: python stock_ml.py mrna_input.txt output.txt Weight matrix output: 1.37639407 1.67969656 1.0162141 1.3184323 -1.88888442 8.32928588 -5.35777295 3.08739916 3.06464844 0.82986227 -0.53092333 -1.95045383 4.14441698 2.99179435 -0.08379438 1.70379704 0.4173048 -1.51870972 -2.14284707 -2.08513252 Corresponding indicators to the weight matrix: 1. Breakout 2. Reversal 3. Crossover of ema20 and ema60 4. Crossover of ema20 and ema120 5. MACD golden cross 6. Long cycle (MACD crossover 0) 7. RSI not overbought 8. KD not overbought and crossover 9. OBV uptrend 10. Bullish gap 11. High volume 12. Breakout up fractal 13. Rebounce of down fractal 14. Convergence 15. Turbulence reversal 16. Low resistance 17. Bullish trend (blue zone) 18. Bearish trend (red zone) 19. VIX close above ema20 20. SPY close below ema20 PS. It is recommended not to use default settings but to train your weight matrix based on underlying and timeframe.
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lockeyj tarafından
11
Indices Sector SigmaSpikes█ OVERVIEW “The benchmark Dow Jones Industrial Average is off nearly 300 points as of midday today...” “So what? Is that a lot or a little? Should we care?” -Adam H Grimes- This screener aims to provide Bird-Eye view across sector indices, to find which sector is having significant or 'out-of-norm' move in either direction. The significance of the move is measured based on Sigma Spikes, a method proposed by Adam H. Grimes, where Standard Deviation of returns used as a baseline. *You can google his blog or read his book, got some gold in there, especially on how he use indicators for trading █ Understanding Sigma Spikes As described by Grimes, moves in markets are only meaningful when we consider what “normal” is for that market. Without that baseline, the daily change number, and even the percent change on the day doesn’t really mean much. To overcome that problem, Sigma Spikes, as a measure of volatility, attempt to put todays change in price (aka return) in context of the standard deviation of 20 days daily's return. Refer chart below: 1. The blue bars refer to each days return 2. The orange line is 1 time standard deviation of past 20days daily's return (today not included) 3. The red line is 2 time standard deviation of past 20days daily's return (today not included) Using the ratio of today's return over the Std Deviation, determining your threshold (1,2,3,etc) will be the key that tells if today's move is significant or not. *Threshold referring to times standard deviation, and different market may require different threshold. *20 Days period are based on the Lookback Period, adjustable from user input window. █ Features - Scan up to 13 symbols at a time (Bursa (MYX) indices are defaulted, but you may change to any symbols/index from the user input setting) █ Limitation - Due to multiple use of security() function required to call other symbols, expect the screener to be slow at certain times - Custom Timeframe currently accept only Daily and Weekly. I'll try to include lower timeframe in the next update █ Disclaimer Past performance is not an indicator of future results. My opinions and research are my own and do not constitute financial advice in any way whatsoever. Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities. I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions. Any ideas to further improve this indicator are welcome :)
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fareidzulkifli tarafından
18
ysantur trendfollowerIt is an indicator that aims to stay in the trend by generating a buy or sell signal according to the intersection of two moving averages. The first trend line is a moving average whose weights are calculated based on fibonacci numbers or golden ratio. The second trend line is achieved by smoothing the first. Thus, two trend lines, one faster and one slower, are obtained. How does it work - When the fast line cross over the slow line, it generates a buy signal. On the contrary, a sell signal occurs when the fast trend line cross under the slower trend - The area between the two trend lines is colored for easier understanding. Blue cloud shows "Bullish", gray cloud shows "Bearish" - If prices are above the blue cloud, it indicates a strong Bullish trend. - When prices go under the gray cloud, a strong bearish trend is observed. - Prices being in the cloud should be treated as a "Hold" signal. In this case, the fast trend will act as resistance and slow trend act as a support. Position should be changed according to the situation. - While there is a blue cloud, that is, in the bull trend, the two trend lines moving too far from each other may indicate a possible correction / reversal. - While there is a gray cloud, that is, in the bear trend, the divergence of two trend lines from each other may indicate a possible correction / reversal. - While in the bearish trend, prices move far from the cloud and re-enter into the cloud in near time. When these levels are monitored carefully, a return from a possible bear trend can be caught early. As with every indicator, it can produce false signals in the horizontal market, so it should not be used alone. I continue to improve on it to put it in less positions due to commission and slip, not to generate false signals in the horizontal market. Now I can say that it produces good results in daily periods, not bad in hourly and 4 hours periods. Backtest is required for shorter periods. Please feel free to comment and write for my improvement.
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ysantur tarafından
1
Equal-Length EMA/SMA Crossover Momentum Signal V1Overview: This momentum and trend-following strategy captures the majority of any trending move, and works well on high timeframes. It uses an equal-period EMA and SMA crossover to detect trend acceleration/deceleration, since an EMA places a greater weight and significance on the most recent data. This version is optimized for longs, and designed to cut your losses quickly and let your winners run. To reduce noise and optimize entries, we combined this with an overall trend bias for further confluence. How it works: Signals are determined by the crossover of an EMA and SMA of the same length, e.g. EMA-50 and SMA-50. The overall trend bias is determined using a slower SMA golden/death cross, e.g. SMA-50 and SMA-100. The signal is stronger when it occurs in confluence with the overall trend bias, e.g. when EMA-50 crosses over SMA-50, while above the SMA-100. This is analogous to only opening long positions in a bull market. Signal description: Trend Buy: EMA crosses above SMA, and overall trend bias is bullish. Buying is in confluence with the overall trend bias. Risky Buy: EMA crosses above SMA, and overall trend bias is bearish. Buying is early, more risky, and not in confluence with the overall trend bias. Late Buy: SMA crosses above BIAS_SLOW. This gives further confirmation of bullish trend, but signal comes later. Sell: EMA crosses under SMA.
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Cryptoluc1d tarafından
2
Precious Metal RatiosThis is a script that shows the ratios of precious metals, including Gold, Silver, Platinum, Palladium, Copper, Aluminum, and Steel. You can choose your desired base currency and quote currency. The default ratio is Gold/Silver, where Gold is the base currency and Silver is the quote. To use, just select your current timeframe from the menu. Includes an option for repainting -- default value is true, meaning the script will repaint the current bar. False = Not Repainting = Value for the current bar is not repainted, but all past values are offset by 1 bar. True = Repainting = Value for the current bar is repainted, but all past values are correct and not offset by 1 bar. In both cases, all of the historical values are correct, it is just a matter of whether you prefer the current bar to be realistically painted and the historical bars offset by 1, or the current bar to be repainted and the historical data to match their respective price bars. As explained by TradingView,`f_security()` is for coders who want to offer their users a repainting/no-repainting version of the HTF data.
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MartinShkreIi tarafından
2
On Chart Anticipated Moving Average Crossover IndicatorIntroducing the on chart moving average crossover indicator. This is my On Chart Pinescript implementation of the Anticipated Simple Moving Average Crossover idea. This indicator plots 6 user defined moving averages. It also plots the 5 price levels required on the next close to cross a user selected moving average with the 5 other user defined moving averages It also gives signals of anticipated moving average crosses as arrows on chart and also as tradingview alerts with a very high degree of accuracy Much respect to the creator of the original idea Mr. Dimitris Tsokakis Moving Averages A moving average simplifies price data by smoothing it out by averaging closing prices and creating one flowing line which makes seeing the trend easier. Moving averages can work well in strong trending conditions, but poorly in choppy or ranging conditions. Adjusting the time frame can remedy this problem temporarily, although at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s). While Exponential moving averages react quicker to price changes than simple moving averages. In some cases, this may be good, and in others, it may cause false signals. Moving averages with a shorter look back period (20 days, for example) will also respond quicker to price changes than an average with a longer look back period (200 days). Trading Strategies — Moving Average Crossovers Moving average crossovers are a popular strategy for both entries and exits. MAs can also highlight areas of potential support or resistance. The first type is a price crossover, which is when the price crosses above or below a moving average to signal a potential change in trend. Another strategy is to apply two moving averages to a chart: one longer and one shorter. When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up. This is known as a "golden cross." Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down. This is known as a "dead/death cross." MA and MA Cross Strategy Disadvantages Moving averages are calculated based on historical data, and while this may appear predictive nothing about the calculation is predictive in nature. Moving averages are always based on historical data and simply show the average price over a certain time period. Therefore, results using moving averages can be quite random. At times, the market seems to respect MA support/resistance and trade signals, and at other times, it shows these indicators no respect. One major problem is that, if the price action becomes choppy, the price may swing back and forth, generating multiple trend reversal or trade signals. When this occurs, it's best to step aside or utilize another indicator to help clarify the trend. The same thing can occur with MA crossovers when the MAs get "tangled up" for a period of time during periods of consolidation, triggering multiple losing trades. Ensure you use a robust risk management system to avoid getting "Chopped Up" or "Whip Sawed" during these periods.
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The_Caretaker tarafından
2
Anticipated Simple Moving Average Crossover IndicatorIntroducing the Anticipated Simple Moving Average Crossover Indicator This is my Pinescript implementation of the Anticipated Simple Moving Average Crossover Indicator Much respect to the original creator of this idea Dimitris Tsokakis This indicator removes one bar of lag from simple moving average crossover signals with a high degree of accuracy to give a slight but very real edge. Moving Averages A moving average simplifies price data by smoothing it out by averaging closing prices and creating one flowing line which makes seeing the trend easier. Moving averages can work well in strong trending conditions, but poorly in choppy or ranging conditions. Adjusting the time frame can remedy this problem temporarily, although at some point, these issues are likely to occur regardless of the time frame chosen for the moving average(s). While Exponential moving averages react quicker to price changes than simple moving averages. In some cases, this may be good, and in others, it may cause false signals. Moving averages with a shorter look back period (20 days, for example) will also respond quicker to price changes than an average with a longer look back period (200 days). Trading Strategies — Moving Average Crossovers Moving average crossovers are a popular strategy for both entries and exits. MAs can also highlight areas of potential support or resistance. The first type is a price crossover, which is when the price crosses above or below a moving average to signal a potential change in trend. Another strategy is to apply two moving averages to a chart: one longer and one shorter. When the shorter-term MA crosses above the longer-term MA, it's a buy signal, as it indicates that the trend is shifting up. This is known as a "golden cross." Meanwhile, when the shorter-term MA crosses below the longer-term MA, it's a sell signal, as it indicates that the trend is shifting down. This is known as a "dead/death cross." MA and MA Cross Strategy Disadvantages Moving averages are calculated based on historical data, and while this may appear predictive nothing about the calculation is predictive in nature. Moving averages are always based on historical data and simply show the average price over a certain time period. Therefore, results using moving averages can be quite random. At times, the market seems to respect MA support/resistance and trade signals, and at other times, it shows these indicators no respect. One major problem is that, if the price action becomes choppy, the price may swing back and forth, generating multiple trend reversal or trade signals. When this occurs, it's best to step aside or utilize another indicator to help clarify the trend. The same thing can occur with MA crossovers when the MAs get "tangled up" for a period of time during periods of consolidation, triggering multiple losing trades. Ensure you use a robust risk management system to avoid getting "Chopped Up" or "Whip Sawed" during these periods.
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The_Caretaker tarafından
11
William %R Scalper for GoldWilliam %R Scalper or WPR Scalper tool is used with small time frame : 5 , 3 or 1 minute, it uses two different William %R indicators : one for fast move with 9 period WPR9 and one slow with 54 period WPR54. You can find buy zone when WPR9 < -90 and WPR54 < -80 and sell zone when WPR9 > -10 AND WPR54 > -20. For experience user only you can adapt the two periods and threshold levels to your need. You can use only WPR9 to place trade and validate trend with WPR54.
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sharktrade tarafından
9
SuperTrend VolatilityThis indicator is actually composition of 3 indicator to one common one it based on super trend , OBV and volatility % range obv act as our source for the super trend to make it more sensitive you can control it as a regular super trend + the addition of volatility % range (volatility factor) so 1 is volatility range , can be from 0.1 to 5 depend on your liking. i set it here in this example of btc 4 hour chart to be 0.5 which is 1/2 of the volatility % range since it fitted better this particular asset . for stock i prefer 1 as my factor this indicator as i normally do have alert and signal inside. the aim of this indicator is to maximize trend on one hand and other to keep sensitivity high one of the problem with regular super trend that as we keep the we increase the trend to be longer it lose sensitivity . by this method that i show here i try to minimize that bad effect and make it both sensitive and more responsive. this is one of the reason i use a modified version of OBV as a source to it . for each asset that you use try to find the best fit so this model can work properly here apple with factor=1 as range on daily it better half of volatility range NIO gold 4 hour gold 1 hour
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RafaelZioni tarafından
22