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Numbers RenkoRenko with Volume and Time in the box was developed by David Weis (Authority on Wyckoff method) and his student. I like this style (I don't know what it is officially called) because it brings out the potential of Wyckoff method and Renko, and looks beautiful. I can't find this style Indicator anywhere, so I made something like it, then I named "Numbers Renko" (数字 練行足 in Japanese). Caution : This indicator only works exactly in Renko Chart. ////////// Numbers Renko General Settings ////////// Volume Divisor : To make good looking Volume Number. ex) You set 100. When Volume is 0.056, 0.05 x 100 = 5.6. 6 is plotted in the box (Decimal are round off). Show Only Large Renko Volume : show only Renko Volume which is larger than Average Renko Volume (it is calculated by user selected moving average, option below). Show Renko Time : "Only Large Renko Time" show only Renko Time which is larger than Average Renko Time (it is calculated by user selected moving average, option below). EMA period for calculation : This is used to calculate Average Renko Time and Average Renko Volume (These are used to decide Numbers colors and Candles colors). Default is EMA, You can choice SMA. ////////// Numbers Renko Coloring ////////// The Numbers in the box are color coded by compared the current Renko Volume with the Average Renko Volume. If the current Renko Volume is 2 times larger than the ARV, Color2 will be used. If the current Renko Volume is 1.5 times larger than the ARV, Color1.5 will be used. Color1 If the current Renko Volume is larger than the ARV . Color0.5 is larger than half Athe RV and Color0 is less than or equal to half the ARV. Color1, Color1.5 and Color2 are Large Value, so only these colored Numbers are showed when use "Show Only ~ " option. Default is Renko Volume based Color coding, You can choice Renko Time based Color coding. Therefore you can use two type coloring at the same time. ex) The Numbers Colors are Renko Volume based. Candle body, border and wick Colors are Renko Time based. ////////// Weis Wave Volume ////////// Show Effort vs Result : Weis Wave Volume divided by Wave Length. ex) If 100 Up WWV is accumulated between 30 Up Renko Box, 100 / 30 = 3.33... will be 3.3 (Second decimal will be rounded off). No Result Ratio : If current "Effort vs Result" is "No Result Ratio" times larger than Average Effort vs Result, Square Mark will be show. AEvsR is calculated by 5SMA. ex) You set 1.5. If Current EvsR is 20 and AEvsR is 10, 20 > 10 x 1.5 then Square Mark will be show. If the left and right arrows are in the same direction, the right arrow is omitted. Show Comparison Marks : Show left side arrow by compare current value to previous previous value and show right side small arrow by compare current value to previous value. ex) Current Up WWV is 17 and Previous Up WWV (previous previous value) is 12, left side arrow is Up. Previous Dn WWV is 20, right side small arrow is Dn. Large Volume Ratio : If current WWV is "Large Volume Ratio" times larger than Average WWV, Large WWV color is used. Sample layout
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akutsusho tarafından
59
VIX Volatility Trend Analysis With Signals - Stocks OnlyVIX VOLATILITY TREND ANALYSIS CLOUD WITH BULLISH & BEARISH SIGNALS - STOCKS ONLY This indicator is a visual aid that shows you the bullish or bearish trend of VIX market volatility so you can see the VIX trend without switching charts. When volatility goes up, most stocks go down and vice versa. When the cloud turns green, it is a bullish sign. When the cloud turns red, it is a bearish sign. This indicator is meant for stocks with a lot of price action and volatility, so for best results, use it on charts that move similar to the S&P 500 or other similar charts. This indicator uses real time data from the stock market overall, so it should only be used on stocks and will only give a few signals during after hours. It does work ok for crypto, but will not give signals when the US stock market is closed. **HOW TO USE** When the VIX Volatility Index trend changes direction, it will give a green or red line on the chart depending on which way the VIX is now trending. The cloud will also change color depending on which way the VIX is trending. Use this to determine overall market volatility and place trades in the direction that the indicator is showing. Do not use this by itself as sometimes markets won’t react perfectly to the overall market volatility. It should only be used as a secondary confirmation in your trading/trend analysis. For more signals with earlier entries, go into settings and reduce the number. 10-100 is best for scalping. For less signals with later entries, change the number to a higher value. Use 100-500 for swing trades. Can go higher for long swing trades. Our favorite settings are 20, 60, 100, 500 and 1000. ***MARKETS*** This indicator should only be used on the US stock markets as signals are given based on the VIX volatility index which measures volatility of the US Stock Markets. ***TIMEFRAMES*** This indicator works on all time frames, but after hours will not change much at all due to the markets being closed. **INVERSE CHARTS** If you are using this on an inverse ETF and the signals are showing backwards, please comment with what chart it is and I will configure the indicator to give the correct signals. I have included over 50 inverse ETFs into the code to show the correct signals on inverse charts, but I'm sure there are some that I have missed so feel free to let me know and I will update the script with the requested tickers. ***TIPS*** Try using numerous indicators of ours on your chart so you can instantly see the bullish or bearish trend of multiple indicators in real time without having to analyze the data. Some of our favorites are our Auto Fibonacci, Directional Movement Index, Volume Profile with buy & sell pressure, Auto Support And Resistance, Vix Scalper and Money Flow Index in combination with this Vix Trend Analysis. They all have real time Bullish and Bearish labels as well so you can immediately understand each indicator's trend.
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FriendOfTheTrend tarafından
3
world stage index ver02This is an indicator that expresses the ratio of "stage1" and "stage4" of world index. 40 symbols are as follows ("TVC:SHCOMP" is revised to "SSE:000001") (JAPAN, US, EUROPE, and CANADA) OSE:NK2251!, DJ:DJI , NASDAQ:IXIC, SP:SPX , XETR:DAX, TVC:CAC40 , TVC:UKX, TSX:TSX (ASIA) SSE:000001, SZSE:399001, TVC:HSI, TWSE:TAIEX, BSE:SENSEX , OANDA:SG30SGD, INDEX:KSI, SET:SET (EUROPE) INDEX:SX5E, INDEX:FTSEMIB, SIX:SMI , BME:IBC, EURONEXT:BEL20, TVC:AEX, OMXCOP:OMXC25, XETR:0Q5X (Pacific Ocean) ASX:XJO, TVC:NZ50G, IDX:COMPOSITE, FTSEMYX:FBMKLCI, BMFBOVESPA:IBOV, BMV:ME , BVL:SPBLPGPT, BYMA:IMV (Eastern Europe & Middle East) MOEX:IMOEX, GPW:WIG20, OMXHEX:OMXH25, OMXSTO:OMXS30, DFM:DFMGI, TADAWUL:TASI, OSE:GNRI, EGX:EGX30 The criteria are as follows: EMA5≧EMA20≧EMA40 : Stage1 EMA5≦EMA20≦EMA40 : Stage4 A.The sum of Stage1 was multiplied by 2.5 and drawn on a scale of 0 to 100, with yellow area B.The Sum of Stage4 was multiplied by 2.5 and drawn on a scale of 0 to 100, with blue area. C. The ratio of A/B was multiplied by 2.5 and drawn on a scale of 0 to 100, with red lines. This idea is from Kojirou Kousi. 40 symbols of this script are partially different from Kojiro kousi's idea. But he said the difference isn't matter. tradingview社の上海総合指数の銘柄コード変更に合わせて、"TVC:SHCOMP"　を "SSE:000001"に改訂しました。 「小次郎講師指数」に着想を得た、世界40カ国の株価指数stage状態です。 参考文献は、小次郎講師著書「世界一わかりやすい投資の勝ち方」です。 小次郎講師とは一部異なるシンボルを採用していますが、 多少の違いは余り大した問題では無いと御本人から教わった事があります。 先進国に関してはおそらくほとんど同じだと思います。 stage1の合計の%を黄色、stage4の合計の%を青色、stage1の合計/stage4の合計の%を赤で表示しています。 雰囲気で分かればいいので、正確な数字までは表示しませんでした。 個人的には現状分析以外にも、プラクティス時に世界情勢を把握するのに重宝しています。
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trader_aaa111 tarafından
4
CHOPORSI CHOPORSI is a multiindicator. This indicator help You to recognize potential in or out singal. Base singals are from Choppines, RSI, AND DMI indicators. It is a combination of 3 separate indicators like choppines RSI and DMI. Then our new indicator see like bellow on next image. Yellow line is sum of CHOP index and RSI , in this case we can say its a CHOPORSI Index. Green line is DMI- line , this show us strength of sell position on the market. We schould use other signals, like LSMA 50/100 to improve trend changing. Like on next picture. Now how this indicator works? Yellow line is the sum oF Chop and RSI value - 50. Max and minimum value of CHOP and RSI are the same from 0 to 100. We have sum of them. Our minimum signal is 0+0-50=-50 maximum signal is 100+100-50= 150 Most times if both of tem are on top level ( then we have 150) the trend is chanhing from bullish to bearish. The same way if the RSI ist on 0 and chop is over 50 ( then we have index 0 ) wee changing the tren from bearish to bullish. Off course it not every time. We see other signals, to take our risk self not sugested by some art of indicators. But if we are abowe topline, witch is set to 85 we can sey, we have have oversold signal. Underline 30 isour potentialy buy signal. Midrange 50 is mostly trand changin line. This valu of top, mid bottom line you can change on the setting. Every Coin have another level of this lines, and need to be checked individual to the coin. Standard, settings are set fo timeframe : 12 min. 24 min, 1H and 4 H > Blue crosses signalize possibilities trend changing. This picture shou us how this indicator works. Buy long signal : If yellow line is mostly at the bottom and green mostly on the top. Sell long signal l. Yellow -top , green -bottom. The Green line is from Directional Movement Index and is - DI line. Its show us selling trend. even higher position then mor sell of . Standard value of CHOPPINES is 14 , works fin on 1H and abowe also wit the value of 28 Standard value for RSI AND -DI unchanging 14. I tjink this is a simplu helpfull indycator. WARNING!!! IF YOU AT THIS POINT CANT UNDERSUD THIS INDICATOR, PLEASE DONT USE THEM . Signal, schould be confirmed with other indicators like MA, EMA even better with LSMA . Please try it an make only paper trading, to undertand how its realy works. Thank You!
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ChartsHussars tarafından
8
Mobility Oscillator [CC]The Mobility Oscillator was created by Mel Widner (Stocks and Commodities Feb 1996) and this is another of my ongoing series of undiscovered gems. I would say this is probably the most complicated script I have written for an indicator. It is extremely complicated to calculate comparing to other indicators but this is essentially an overbought and oversold indicator that uses a very unique technique to calculate overbought and oversold levels and overall upward or downward momentum there is in the underlying stock. It uses a price distribution function to determine how often the current prices fall within the current trend which tells us how strong the momentum for the current trend actually is. I had to customize this indicator a bit to give clear buy and sell readings so I had to introduce a lag in exchange for clearer signals. This indicator ranges between +100 and -100 and when it stays at the +100 level for example then this means a sustained uptrend and vice versa. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color. Buy when the line turns green and sell when it turns red. Let me know if there are any other scripts or indicators you would like to see me publish!
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cheatcountry tarafından
3
Margin Zones[kryptodude]This indicator is based on the margin requirements of the CME exchange. Zones act as support and resistance levels, which are more likely to have a price reaction. The recommended zones for entering a position, as well as taking profits, are zones 50 and 100. For example, you decide to open a short position on the +100 zone, in which case it is recommended to place a stop-loss behind the zone. Take-profit part at -50 and -100, based on the zones from the formed maximum at the +100 zone. Settings: Select the currency pair and the exchange on which the indicator will work, For example BINANCE:BTCUSD "Margin" (for example,now 68280, the next day the margin will be different) "Tick cost" for BTC = 25 or 12.5 taken from the CME exchange. "Price max"- High yesterday (for example 44451). "Price min"- Low yesterday (for example 41280). Please note, with strong volatility, it is recommended to change the Tick cost instead of 25 to put 12.5 And also, only dots " . " not commas ", " work in the indicator.
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kryptodude tarafından
5
Co-Relation by OnurThis indicator can statistically compare ANY asset in Tradingview with the asset in the active chart. It helps to understand positive or negative corelation btw 2 assets with percentage. Indicator value oscillates btw +100 and -100. If value is close to +100, there is a positive co-relation and if value is close to -100, there is a negative co-relation. Indicator has 2 variables: Symbol: The symbol (BTCUSDT by Default) that you'd like to compare with chart. Period: Is the number of backward candles (200 by Default) for indicator co-relation calculation. You can increase Period value to understand a long term relationship btw 2 assets.
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SenatorVonShaft tarafından
2
3 Indicator Strategy (StochRSI, MFI & EMA) With Safety OrdersThis strategy uses Stochastic RSI, Money Flow Index and EMA with settings for lower time-frames. It also features safety orders based on 3 different take profit and stop loss methods. Recommended Indicator Settings for lower time-frames; Stoch RSI: 1,1,100,100 MFI: 30 EMA: 100 Take Profit/Stop Loss Settings: There are 3 TP/SL types available; - Pips -> based on minticks - Base Value -> manually entering a value for the actual profit/loss. - Opposite Signal -> e.g. if the current open order is long, strategy waits for the next short signal.
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ggekko21 tarafından
1
Reverse Cutlers Relative Strength Index On ChartIntroduction The Reverse Cutlers Relative Strength Index (RCRSI) OC is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index ( RSI ) value, or cross its Moving Average (MA) signal line. Overview Background & Credits: The relative strength index ( RSI ) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”. Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing. Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI , and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs. Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD . brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI . Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere. My utmost respect, and all due credits to authors of related prior works. Introduction It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves. Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence. Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on. Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective. Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox. The RSI scale is divided into zones: • Scale high (100) • Bull critical zone (80 - 100) • Bull control zone (62 - 80) • Scale midline (50) • Bear control zone (20 - 38) • Bear critical zone (0 - 20) • Scale low (0) The RSI plots which graphically display output closing price levels where Cutlers RSI value will crossover: • RSI (eq) (previous RSI value) • RSI MA signal line • RSI Test price • Alert level high • Alert level low The info box displays output closing price levels where Cutlers RSI value will crossover: • Its previous value. ( RSI ) • Bull critical zone. • Bull control zone. • Mid-Line. • Bear control zone. • Bear critical zone. • RSI MA signal line • Alert level High • Alert level low And also displays the resultant RSI for a user defined closing price: • Test price RSI The infobox outputs can be shown for the current bar close, or the next bar close. The user can easily select which information they want in the infobox from the setttings Importantly: All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes. All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes. Understanding the Relative Strength Index At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down. It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions. The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100. It is typically accompanied by a moving average signal line. Traditional interpretations Overbought and oversold: An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price. An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price. Midline Crossovers: When the RSI crosses above its midline ( RSI > 50%) a bullish bias signal is generated. (only take long trades) When the RSI crosses below its midline ( RSI < 50%) a bearish bias signal is generated. (only take short trades) Bullish and bearish moving average signal Line crossovers: When the RSI line crosses above its signal line, a bullish buy signal is generated When the RSI line crosses below its signal line, a bearish sell signal is generated. Swing Failures and classic rejection patterns: If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred. If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred. Examples of classic swing rejection patterns Bullish swing rejection pattern: The RSI moves into oversold zone (below 30%). The RSI rejects back out of the oversold zone (above 30%) The RSI forms another dip without crossing back into oversold zone. The RSI then continues the bounce to break up above the previous high. Bearish swing rejection pattern: The RSI moves into overbought zone (above 70%). The RSI rejects back out of the overbought zone (below 70%) The RSI forms another peak without crossing back into overbought zone. The RSI then continues to break down below the previous low. Divergences: A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows. A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs. A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows. A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs. Regular divergences can signal a reversal of the trending direction. Hidden divergences can signal a continuation in the direction of the trend. Chart Patterns: RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges , double tops, bottoms and trend lines etc. Support and Resistance: It is very often easier to define support or resistance levels on the RSI itself rather than the price chart. Modern interpretations in trending markets: Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns. Constance Brown, CMT , was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support. During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance. For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones. These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend. Limitations of the RSI Like most technical indicators, its signals are most reliable when they conform to the long-term trend. True trend reversal signals are rare, and can be difficult to separate from false signals. False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common. Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction. Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
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The_Caretaker tarafından
8
Reverse Cutlers Relative Strength IndexIntroduction The Reverse Cutlers Relative Strength Index (RCRSI) is an indicator which tells the user what price is required to give a particular Cutlers Relative Strength Index (RSI) value, or cross its Moving Average (MA) signal line. Overview Background & Credits: The relative strength index (RSI) is a momentum indicator used in technical analysis that was originally developed by J. Welles Wilder Jr. and introduced in his seminal 1978 book, “New Concepts in Technical Trading Systems.”. Cutler created a variation of the RSI known as “Cutlers RSI” using a different formulation to avoid an inherent accuracy problem which arises when using Wilders method of smoothing. Further developments in the use, and more nuanced interpretations of the RSI have been developed by Cardwell, and also by well-known chartered market technician, Constance Brown C.M.T., in her acclaimed book "Technical Analysis for the Trading Professional” 1999 where she described the idea of bull and bear market ranges for RSI, and while she did not actually reveal the formulas, she introduced the concept of “reverse engineering” the RSI to give price level outputs. Renowned financial software developer, co-author of academic books on finance, and scientific fellow to the Department of Finance and Insurance at the Technological Educational Institute of Crete, Giorgos Siligardos PHD. brought a new perspective to Wilder’s RSI when he published his excellent and well-received articles "Reverse Engineering RSI " and "Reverse Engineering RSI II " in the June 2003, and August 2003 issues of Stocks & Commodities magazine, where he described his methods of reverse engineering Wilders RSI. Several excellent Implementations of the Reverse Wilders Relative Strength Index have been published here on Tradingview and elsewhere. My utmost respect, and all due credits to authors of related prior works. Introduction It is worth noting that while the general RSI formula, and the logic dictating the UpMove and DownMove data series as described above has remained the same as the Wilders original formulation, it has been interpreted in a different way by using a different method of averaging the upward, and downward moves. Cutler recognized the issue of data length dependency when using wilders smoothing method of calculating RSI which means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until enough calculation iterations have occurred for convergence. Hence Cutler proposed using Simple Moving Averaging for gain and loss data which this Indicator is based on. Having "Reverse engineered" prices for any oscillator makes the planning, and execution of strategies around that oscillator far simpler, more timely and effective. Introducing the Reverse Cutlers RSI which consists of plotted lines on a scale of 0 to 100, and an optional infobox. The RSI scale is divided into zones: • Scale high (100) • Bull critical zone (80 - 100) • Bull control zone (62 - 80) • Scale midline (50) • Bear critical zone (20 - 38) • Bear control zone (0 - 20) • Scale low (0) The RSI plots are: • Cutlers RSI • RSI MA signal line • Test price RSI • Alert level high • Alert level low The info box displays output closing price levels where Cutlers RSI value will crossover: • Its previous value. (RSI ) • Bull critical zone. • Bull control zone. • Mid-Line. • Bear control zone. • Bear critical zone. • RSI MA signal line • Alert level High • Alert level low And also displays the resultant RSI for a user defined closing price: • Test price RSI The infobox outputs can be shown for the current bar close, or the next bar close. The user can easily select which information they want in the infobox from the setttings Importantly: All info box price levels for the current bar are calculated immediately upon the current bar closing and a new bar opening, they will not change until the current bar closes. All info box price levels for the next bar are projections which are continually recalculated as the current price changes, and therefore fluctuate as the current price changes. Understanding the Relative Strength Index At its simplest the RSI is a measure of how quickly traders are bidding the price of an asset up or down. It does this by calculating the difference in magnitude of price gains and losses over a specific lookback period to evaluate market conditions. The RSI is displayed as an oscillator (a line graph that can move between two extremes) and outputs a value limited between 0 and 100. It is typically accompanied by a moving average signal line. Traditional interpretations Overbought and oversold: An RSI value of 70 or above indicates that an asset is becoming overbought (overvalued condition), and may be may be ready for a trend reversal or corrective pullback in price. An RSI value of 30 or below indicates that an asset is becoming oversold (undervalued condition), and may be may be primed for a trend reversal or corrective pullback in price. Midline Crossovers: When the RSI crosses above its midline (RSI > 50%) a bullish bias signal is generated. (only take long trades) When the RSI crosses below its midline (RSI < 50%) a bearish bias signal is generated. (only take short trades) Bullish and bearish moving average signal Line crossovers: When the RSI line crosses above its signal line, a bullish buy signal is generated When the RSI line crosses below its signal line, a bearish sell signal is generated. Swing Failures and classic rejection patterns: If the RSI makes a lower high, and then follows with a downside move below the previous low, a Top Swing Failure has occurred. If the RSI makes a higher low, and then follows with an upside move above the previous high, a Bottom Swing Failure has occurred. Examples of classic swing rejection patterns Bullish swing rejection pattern: The RSI moves into oversold zone (below 30%). The RSI rejects back out of the oversold zone (above 30%) The RSI forms another dip without crossing back into oversold zone. The RSI then continues the bounce to break up above the previous high. Bearish swing rejection pattern: The RSI moves into overbought zone (above 70%). The RSI rejects back out of the overbought zone (below 70%) The RSI forms another peak without crossing back into overbought zone. The RSI then continues to break down below the previous low. Divergences: A regular bullish RSI divergence is when the price makes lower lows in a downtrend and the RSI indicator makes higher lows. A regular bearish RSI divergence is when the price makes higher highs in an uptrend and the RSI indicator makes lower highs. A hidden bullish RSI divergence is when the price makes higher lows in an uptrend and the RSI indicator makes lower lows. A hidden bearish RSI divergence is when the price makes lower highs in a downtrend and the RSI indicator makes higher highs. Regular divergences can signal a reversal of the trending direction. Hidden divergences can signal a continuation in the direction of the trend. Chart Patterns: RSI regularly forms classic chart patterns that may not show on the underlying price chart, such as ascending and descending triangles & wedges, double tops, bottoms and trend lines etc. Support and Resistance: It is very often easier to define support or resistance levels on the RSI itself rather than the price chart. Modern interpretations in trending markets: Modern interpretations of the RSI stress the context of the greater trend when using RSI signals such as crossovers, overbought/oversold conditions, divergences and patterns. Constance Brown, CMT, was one of the first who promoted the idea that an oversold reading on the RSI in an uptrend is likely much higher than 30%, and that an overbought reading on the RSI during a downtrend is much lower than the 70% level. In an uptrend or bull market, the RSI tends to remain in the 40 to 90 range, with the 40-50 zone acting as support. During a downtrend or bear market, the RSI tends to stay between the 10 to 60 range, with the 50-60 zone acting as resistance. For ease of executing more modern and nuanced interpretations of RSI it is very useful to break the RSI scale into bull and bear control and critical zones. These ranges will vary depending on the RSI settings and the strength of the specific market’s underlying trend. Limitations of the RSI Like most technical indicators, its signals are most reliable when they conform to the long-term trend. True trend reversal signals are rare, and can be difficult to separate from false signals. False signals or “fake-outs”, e.g. a bullish crossover, followed by a sudden decline in price, are common. Since the indicator displays momentum, it can stay overbought or oversold for a long time when an asset has significant sustained momentum in either direction. Data Length Dependency when using wilders smoothing method of calculating RSI means that wilders standard RSI will have a potential initialization error which reduces with every new data point calculated meaning early results should be regarded as unreliable until calculation iterations have occurred for convergence.
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The_Caretaker tarafından
5
ColorExtensionLibrary "ColorExtension" Color Extension methods. hsl(hue, saturation, lightness, transparency) HSL color transform. Parameters: hue : float, hue color component, hue is a degree on the color wheel from 0 to 360. 0 is red, 120 is green, 240 is blue. saturation : float, saturation color component, saturation is a percentage value, 0 means a shade of gray and 100 is the full color. lightness : float, lightness color component, Lightness is also a percentage; 0 is black, 100 is white. transparency : float, transparency color component, transparency is also a percentage; 0 is opaque, 100 is transparent. Returns: color rgb_to_hsl(red, green, blue) Convert RGB to HSL color values Parameters: red : float, red color component. green : float, green color component. blue : float, blue color component. Returns: tuple with 3 float values, hue, saturation and lightness. complement(primary) Complementary of selected color Parameters: primary : color, the primary Returns: color. invert(primary) Inverts selected color. Parameters: primary : color, the primary. Returns: color. is_cool(base) Color is cool or warm. Parameters: base : color, the color to check. Returns: bool. temperature(base) Color temperature. Parameters: base : color, the color to check. Returns: bool. is_high_key(base) Color is high key (orange yellow green). Parameters: base : color, the color to check. Returns: bool. mix(base, mix, rate) Mix two colors together. Parameters: base : color, the base color. mix : color, the color to mix. rate : float, default=0.5, the rate of mixture, range within 0.0 and 1.0. Returns: color. analog(primary) Selects 2 near spectrum colors (H +/- 45). Parameters: primary : color, the base color. Returns: tuple with 2 colors. triadic(primary) Selects 2 far spectrum colors (H +/- 120). Parameters: primary : color, the base color. Returns: tuple with 2 colors. tetradic(primary) Uses primary and the complementary color, + 60º to form a rectangular pattern on the color wheel. Parameters: primary : color, the base color. Returns: tuple with 3 colors. square(primary) Uses primary and generate 3 equally spaced (90º) colors. Parameters: primary : color, the base color. Returns: tuple with 3 colors.
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RicardoSantos tarafından
3
Baekdoo arrows (white : long term CCI trend changing signal)Hi forks, I'm trader Baekdoosan who trading Equity from South Korea. This long term CCI trend changing signal will gives you good buy point for a long term trading. As you know, CCI ( Commodity Channel Index ) is the indicator of how difference from MA(Moving Average). If CCI (period) value is 0 then it is the same value of the SMA (price, period). Indication of overselling or overbuying will be counted by -100 and 100 value of CCI . What I chose value is 240. which is almost a year of period. My signal will be plotted this long term CCI indicator cross over -100. But I don't want it to be marked in case of long term CCI value fluctuating from -101 to -99 which will be marked frequently. Thus I put candle counter of 60 days after cross under -100 then only I count for cross over -100. By this I have very good signal to mark on the chart. Please enjoy my signal and have good profit from it~! Gazua~!
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traderbaekdoosan tarafından
1
world stage indexThis is an indicator that expresses the ratio of "stage1" and "stage4" of world index. 40 symbols are as follows (JAPAN, US, EUROPE, and CANADA) OSE:NK2251!, DJ:DJI, NASDAQ:IXIC, SP:SPX, XETR:DAX, TVC:CAC40, TVC:UKX, TSX:TSX (ASIA) TVC:SHCOMP, SZSE:399001, TVC:HSI, TWSE:TAIEX, BSE:SENSEX, OANDA:SG30SGD, INDEX:KSI, SET:SET (EUROPE) INDEX:SX5E, INDEX:FTSEMIB, SIX:SMI, BME:IBC, EURONEXT:BEL20, TVC:AEX, OMXCOP:OMXC25, XETR:0Q5X (Pacific Ocean) ASX:XJO, TVC:NZ50G, IDX:COMPOSITE, FTSEMYX:FBMKLCI, BMFBOVESPA:IBOV, BMV:ME, BVL:SPBLPGPT, BYMA:IMV (Eastern Europe & Middle East) MOEX:IMOEX, GPW:WIG20, OMXHEX:OMXH25, OMXSTO:OMXS30, DFM:DFMGI, TADAWUL:TASI, OSE:GNRI, EGX:EGX30 The criteria are as follows: EMA5≧EMA20≧EMA40 : Stage1 EMA5≦EMA20≦EMA40 : Stage4 A.The sum of Stage1 was multiplied by 2.5 and drawn on a scale of 0 to 100, with yellow area B.The Sum of Stage4 was multiplied by 2.5 and drawn on a scale of 0 to 100, with blue area. C. The ratio of A/B was multiplied by 2.5 and drawn on a scale of 0 to 100, with red lines. This idea is from Kojirou Kousi. 40 symbols of this script are partially different from Kojiro kousi's idea. But he said the difference isn't matter. 「小次郎講師指数」に着想を得た、世界40カ国の株価指数stage状態です。 参考文献は、小次郎講師著書「世界一わかりやすい投資の勝ち方」です。 小次郎講師とは一部異なるシンボルを採用していますが、 多少の違いは余り大した問題では無いと御本人から教わった事があります。 先進国に関してはおそらくほとんど同じだと思います。 stage1の合計の%を黄色、stage4の合計の%を青色、stage1の合計/stage4の合計の%を赤で表示しています。 雰囲気で分かればいいので、正確な数字までは表示しませんでした。 個人的には現状分析以外にも、プラクティス時に世界情勢を把握するのに重宝しています。
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trader_aaa111 tarafından
3
EMR Strategy [H1 Backtesting]EMR Strategy base on EMA, MACD and RSI to supply signal on time frame H1. Details of Rule as below: === 1.EMA + Time frame: H1 + Periods: 25, 100 (~ EMA 25 H4), 600 (~ EMA 25 D1) === 2.MACD + Time frame: H1 + Periods: 12,26,9 === 3.RSI + Time frame: H1 + Periods: 14 === 4.Trading Rule 4.1.Long Position + MACD>0 and RSI>50 and close price moving above EMA 25 + Close price crossed EMA 100 or crossed EMA 600 at the first time 4.2.Short Position + MACD<0 and RSI<50 and close price moving below EMA 25 + Close price crossed EMA 100 or crossed EMA 600 at the first time === 5.Money Management + This strategy concentrate into winrate. + So use trailing stop to protect your profits. + And use stoploss to avoid big loss on trades.
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inno14 tarafından
2
SMA Offset StrategyThis strategy uses simple moving averages and some math to determine buy/sell points. We keep a SMA 100 day line as our basis for our offset. If the close price is below the line, we choose our open position based on how low below the line it is goes, this value (Low Offset) is a percentage and can be configured by the user. Same for closing your position, when the close is above our SMA 100 line, we determine how high above the line before selling. If we try to sell too early (while the price is still rising), the trailing stop loss will kick in. Backtested with Bitcoin and Ethereum. Configurable variables: SMA Fast (default is 14 days) SMA Slow (default is 100) SMA Reference (default is 30) Low Offset % (default is 0.001) High Offset % (default is 0.0164) Order Stake % (default is 0.96) Trailing stop loss % (default is 1.35)
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sonnyparlin tarafından
16
SNL Popular Moving Averages MTFSNL△ Popular Moving Averages MTF Short title: PopMAs These are popular moving averages used by various traders and they are multi-timeframe, i.e. you can see the 200 day SMA on a 15 minute chart. Four moving averages are also included for the current timeframe (20, 50, 100 and 200 EMA). Not all moving averages are enabled by default. You can turn individual moving averges on or off in the "Style" tab of the indicator's settings. The way I see moving averages is that they do not represent a magic mathematical truth, but are simply the result of many people agreeing on the same parameters. I guess the origin were five working days in a week and therefore a month would be four times five, i.e. a 20 day SMA. 200 days are probably an estimate of the work days in a year and the 50 day SMA represents a quarter year. There are many indicators on TradingView that offer various adjustable moving averages, including combinations and multi-timeframe. But my interest was to have an indicator with the most popular moving averages and it should be multi-timeframe capable. By design I did not want to make the periods adjustable, but you could add this easily if you like. Here are some examples of poplular moving averages: 20 unit EMA : support on 4h BTC chart, Carl the Moon 20, 50, 100, 200 day SMA : classic trading all charts, Benjamin Cowen, Tone Vays 20, 50, 100, 200 week SMA: Benjamin Cowen 21 week EMA: well known BTC support, Benjamin Cowen 800 hour EMA: Traders Reality -> not possible in TradingView, represented as 33 day EMA Known problems: - I have not found a way to turn off floating labels according to a plot's state chosen in the "Style" tab. So you will still see the label floating around even if you have turned off the moving average's line. But you can always turn of all the floating labels in the settings. - I have observed unexpected differences on multi-timeframe values: For example, looking at the true 20 week SMA on a weekly BTC chart showed a present time value of 43821 USD, but the value was 43908 USD for the result of this call used in this script: security(syminfo.tickerid, "W", sma(close, 20)) The difference went away when switching my chart to weekly and back to 15 minutes. Please comment if you know of other moving averages that are often and successfully used or if you find that one of the included moving averages is irrelevant and should be removed from this script. And I would very much appreciate any input regarding the mentioned known problems.
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StaticNoiseLog tarafından
Forex scalper 2xEMA + SRSI + MACDThis is a forex scalping strategy designed for the most liquid pairs, like major forex pairs. Its made of 1 EMA 50 1 EMA 100 Stochastic RSI MACD Rules For long :close of the candle is above moving average 50, moving average 50> moving average 100, macd histogram is positive and cross over of stochastic rsi with the oversold level. For short :close of the candle is below moving average 50, moving average 50 < moving average 100, macd histogram is negative and cross under of stochastic rsi with the overbought level. Exit For exit we have take profit and stop loss using fixed pip points. For this example on EURUSD we use 20 pips for both tp and sl IF you have any questions let me know !
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exlux tarafından
[blackcat] L1 Mel Widner Auto Support and ResistanceLevel: 1 Background This indicator/formula was presented in the May 1998 issue of the ‘Technical Analysis of Stocks and Commodities’ magazine. The article was titled “Automatic support and resistance” the article described an approach to finding support and resistance levels on a chart. Function Support and resistance analysis is a proven method for selecting key price levels for trading decisions; traders usually perform the analysis by hand. The automatic charting method and new oscillators presented here are easy to implement and give a precise comparison of price to these important levels. Suppose prices are moving higher, fed by steady cash flow and favorable expectations. Then, at some point, the advance begins to slow. Upward momentum is still dominant, but at that point it is diminishing and the rate of rise is decreasing, evidence of resistance. It is like throwing a ball into the air; the ball starts with initial momentum, then slows under the influence of gravity before eventually falling. Prices behave in a similar manner. After opposing resistance forces are applied for a time, prices slow, finally stop, and reverse direction. The turning point is a resistance level and is the highest high price for that particular period. The converse is true for declining prices. A slowing decline results from support forces and a support level is established at the point where prices turn upward. Simply, forces cause acceleration. Market forces do not directly produce momentum, but rather momentum changes. These momentum changes in turn are integrated or accumulated to establish momentum. The presence of market forces is evident when the slope of prices, or momentum, changes over time. The effect is most dramatic when forces also change, triggered by price moves or changes in expectations, and abrupt reversals occur. Examination of price histories can confirm the presence of these features. Two oscillators are defined: the WSO (Widner support oscillator) and the WRO (Widner resistance oscillator). The WSO compares the current close with the most recent six support levels. Values range from zero to 100. WSO = zero means that the close is below all of the six support levels, and WSO = 100 means that the current close is above all of the six support levels. Changes in WSO indicate changes in support, either breaking of an old level or establishing a new one. The WSO abd WRO are defined as: WSO = 100( 1 – (INT(S1/C) + INT(S2/C) + INT(S3/C) + INT(S4/C) + INT(S5/C) + INT(S6/C)) / 6) WRO = 100( 1 – (INT(R1/C) + INT(R2/C) + INT(R3/C) + INT(R4/C) + INT(R5/C) + INT(R6/C)) / 6) Consequently, WSO and WRO can cross, but this is very uncommon. Enter long when support is strong and resistance is weak or enter when support is building. Key Signal wso --> Widner support oscillator. wro --> Widner resistance oscillator. Remarks This is a Level 1 free and open source indicator. Feedbacks are appreciated.
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blackcat1402 tarafından
3
[jav] Mountain Oscillator Introducing the Mountain Oscillator. Why not trading while admiring the scenery? The main oscillator line is the black silhouette of the mountains, and each element of the landscape can be seen as a support or resistance - even the mountains far in the horizon, the misty band in the middle and the -1, 0 and 1 lines. (Well, almost every element... the sun is just for fun). Equalling the heights of the mountains that are far away, or reaching the snow zone, are possible signs of an uptrend ending. On the other hand, stepping into a river is a clear sign of a reversal to the upside soon. Strong uptrends are evidenced by significant portions of the mountain above the misty zone and/or the 0 line. By default, the sky turns red/blue/dark gray depending on the trading hours. This option can be unchecked. Calculations and usage : The script is based on a modified version of Bollinger Bands. Bandwidth is calculated quite differently from the usual Bollinger indicator (not with the built-in stdev function). There is no need to input a multiplier factor, such as that used in BB - the script calculates it from 'Length' using a custom formula. The 3 user inputs 'Length' ares recommended to be kept at 200, 100 and 50 period. In that way, the misty area in the landscape corresponds to price crossing EMAs of 50 and 100, and the zero line to EMA 200. The different colors of the mountain and the horizon represent the Bollinger Bands corresponding to the mentioned periods of 50 and 100, whereas limits of -1 and +1 are those from the 'Length' parameter. You will find that my coding skills are rudimentary, so any comment/suggestion to improve the script is welcome. Credits @everget for the 'Fancy Shapes' script which was used as a reference to draw the sun.
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javabgar tarafından
13
BTC Dominance & Counter-Trend IndicatorThis script looks at BTC dominance in price-action and scores it (out of the last 100 closed bars). Essentially this looks at the price action of the current security/crypto and tracks whether it traded in-trend with BTC or against the trend with BTC to show when BTC is most prominently dominating. Currently the code is restricted to the previous 100 trades prior to the bar (you can change this) but only because, for whatever reason, pine scripting doesn't actually allow you to calculate the number of bars currently in the view (lots of people asking for this via StackOverflow but no response yet). Essentially every bar shows the number of trades out of the last 100 that traded in-synch with BTC, the lower the number, the less dominant BTC has been against that security. Green highlight means it traded positive (upwards) against BTC going down, and red means it traded negative against BTC going up.
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TheGrindToday tarafından
2
AZ V.3 Test ++Position Size Fix+Float Core Concept This Strategy is Base on EMA Cross But thing what make this strategy be different from original CDC Action Zone V.3 is "Position Size" Compound Profit & Not Compound Profit Strategy Position Sizing Concept Be real.Everyone know the key of survive in the Market is "Risk & Money Management" So, How can we manage our Risk and Money? Yes, The key is " Make the Risk celling " //////////////////////////////////// //// (Risk% * 100) / Stoploss % //// //////////////////////////////////// How can we make the Risk celling? 1. Define your Risk Per Trade for you. (How much % money of your portfolio are you willing to pay for this trade?) - Example - - I Have 3,000$ in my portfolio. - I think i can take the risk per trade for my trade 2.5% of my portfolio. (75$) - I calculate the Position Size of my trade to pay 2.5% of my portfolio when i need to stoploss. (75$) - And then, I have 97.5% of my fund (2,925$) for fight in next trade. - ***** So, I'll never lose a big money of my fund. And "SURVIVE" in long term. ***** 2. Mark the "Entry Point" and "Stop Loss Point" - Example - - I have a Entry Point at price 30,000 $ - I Make the "Hard Stop" at previous low 11 Bar. (Hard Stop = When the price went lower from this point, We Sell this position without any pity) - For example. I assume the previous low is 20,000$ - I Clac. the different % from Entry to Stoploss. (33%) - ***** So, If the price went low from Entry Point -33%. I'll stop this position. ***** 3. Calculate my position size. //////////////////////////////////// //// (Risk% * 100) / Stoploss % //// //////////////////////////////////// - In the past 2 Example. - We have Risk% = 2.5% - We have Stoploss% = 33% - So, We clac. >> - 7.575757 >> 7.5 % of my Portfolio - 7.5 % of my Portfolio = 225 $ - ***** When my position Dropdown I'll lose for this trade and survive to fight in next trade. ***** Compound Profit Concept We calculate the base equity from Normal People use this. Not Compound Profit Concept We calculate the base equity from If we have some profit. We use this profit for "Reserve" the loss in next trade.
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FlowerSeason tarafından
5
Chart OscillatorI present you the chart oscillator where an oscillator (Stoch or RSI) is plotted on the chart itself (instead of below the chart) It is inspired on an idea of @Kablamicus Instead of having the lines between 0 and 100, here the '0-100' are - lowest(low, len) - highest(high, len) An overbought/oversold and a middle line is derived from these lines and the oscillator goes in between. It resembles very much the 'normal' oscillator, with a few extra's: - you can see the movement of the candles against the oscillator - S/R levels of oscillator, 50 line, overbought/oversold line, 0-100 line Stoch: RSI: Also a table is included with the Stoch/RSI values Cheers!
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fikira tarafından
51
stop out or margin call price levelsAbstract This script finds the potential stop out or margin call price levels without considering timeframe. This script computes stop out or margin call price levels that over leveraged positions buy cheap enough. You can use this indicator to follow stop hunters. Introduction Stop hunting exists because of benefit conflict. When most of retails traders are in the correct direction, big banks do not want to buy more expensive then retail traders. Therefore, Big banks create sell pressure to make retail traders misunderstand their trade decisions are wrong. When retail traders decide to cut loss, it is time big banks buy cheaper. Many courses recommend average true range as a stop loss reference. However, in different timeframe, average true ranges are different. Therefore, we need to have a method to measure potential stop hunting levels which is not relative to timeframe. There is a method because there are observable levels where over leveraged positions must cut loss. For example, for a 100 leverage position, its margin call level is 0.005, so 0.005 drawdown is a potential stop hunting level. Computing For buy potential stop out or margin call price level = low * ( 1 - ratio ) For sell potential stop out or margin call price level = high * ( 1 + ratio ) Parameters There are 4 levels available for adjusting. The default values are : (1) 0.001 : 500 leverage , 50% margin call (2) 0.0025 : 200 leverage , 50% margin call (3) 0.005 : 100 leverage , 50% margin call (4) 0.010 : 50 leverage , 50% margin call Usage (1) Find an oversold price level. If you don't want to use an another indicator, you can use previous low. (2) Memorize their stop out or margin call price levels of that level. (2) Consider buy near those levels. (3) If there are quick price rejection near those levels, better entry opportunities. (4) Take profit and stop loss : you decide. Conclusion This script can find potential stop out or margin call price levels that over leveraged positions buy cheap enough. If you are bored, you can consider find 100 signals you are interested in and share your observation. Reference Brokers, leverage and margin call threshold
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clocks156t174 tarafından
1