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Komut dosyalarını "主板非次新股，市场贝塔系数最高的10只股票" için ara

Normalized Quantitative Qualitative Estimation nQQENormalized version of Quantitative Qualitative Estimation QQE: Normalized QQE tries to overcome the problems of false signals due to RSI divergences on the original QQE indicator. The main purpose is to determine and ride the trend as far as possible. So users can identify: UPTREND : when nQQE Histogram is GREEN (nQQE is above 10) DOWNTREND : when nQQE Histogram is RED (nQQE is below -10) SIDEWAYS: when nQQE Histogram is YELLOW (nQQE is between -10 and 10) Calculation is very simple; RSI based QQE oscillates between 0-100 nQQE is simply calculated as: nQQE=QQE-50 to make the indicator fluctuate around 0 level to get more accurate signals. Various alarms added. Kıvanç Özbilgiç
Pine Script® göstergesi
KivancOzbilgic tarafından
35
BTC and ETH Long strategy - version 2I wrote my first article in May 2020. See below BTC and ETH Long strategy - version1 After 6 months, it is now time to check the result of my script for the last 6 months. XBTUSD (4H): 14/05/2020 --> 22/11/2020 = +78% in 4 trades ETHXBT (4H): 14/05/2020 --> 22/11/2020 = +21% in 9 trades ETHUSD (4H): 14/05/2020 --> 22/11/2020 = +90% in 6 trades Using the signals from this strategy to trade manually has shown that this was a bit frustrating because of the low rate of winning trades. If you have to enter 100 trades and see 75% of them failing and 25% winning, this is frustrating. For sure the strategy makes good money but it is difficult to hold this mentality. So, I have reviewed and modified it to get a higher winning rate. After few days of work, tests and validation, I managed to get a wining rate close to 60%. The key element was also to decrease the number of trades by using a higher time frame. (4H candles instead of 2H candles). - Entry in position is based on MACD, EMA (20), SMA (100), SMA (200) moving up AND EMA (20) > SMA (100) AND SMA (100) > SMA (200) - Exit the position if: Stoploss is reached OR EMA (20) crossUnder SMA (100) The goal of this new script is to be able to follow the signals manually and only make few trades per years. I have also validated it against some other altcoins where some are giving very good results. Here are some results for 2020 (from 01/01/2020 until now (22/11/2020). Those results are the one I get when using 4H candles. ETH/USD: +144% in 8 trades. BTC/USD: +120% in 7 trades. ETH/BTC: +33% in 9 trades. ICX/USD: +123% in 10 trades. LINK/USD: +155% in 11 trades. MLN/USD: +388% in 8 trades. ADA/USD: +180% in 7 trades. LINK/BTC: +97% in 10 trades. The best is that above results are without considering compound effect. If you re-invest all gains done in each new trade, this will give you the below results :) ETH/USD: +189% in 8 trades. BTC/USD: +260% in 7 trades. ETH/BTC: +29% in 9 trades. ICX/USD: +112% in 10 trades. LINK/USD: +222% in 11 trades. MLN/USD: +793% in 8 trades. ADA/USD: +319% in 7 trades. LINK/BTC: +103% in 10 trades. As you can see, the results are good and the number of trades for 11 months is not big, which allows the trader to place orders manually. But still, I'm lazy :), so, I have also coded this strategy in HaasScript language which allows you to automate this strategy using the HaasOnline software specialized in automated crypto trading. I hope that this strategy will give you ideas or will be the starting point for your own strategy. Let me know if you need more details.
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philipina tarafından
10
Pipe Bottoms Indicator Based on Thomas Bulkowski's TheoriesPipe bottom is a great indicator of short-term bullish reversal trading. Pipe bottoms appear as 2 "spikes" on the chart after a 2 weeks price drop downtrend, which look like 2 parallel lines on the chart. Based on Bulkowski and the definition on his Patternsite, those 2 "spikes" candles can be any shape, whether doji or any other kinds, thus, wicks length or candle bodies are NOT required in this type of trends. However, a wide price range for these 2 spikes compared to other candles that appeared in 2 weeks is required, so I made sure these 2 pipe bottoms have true ranges (candle length) bigger than the average true ranges in the past 10 trading days (14 calendar days). Then, a large price overlap must be between these 2 pipe bottoms, so I made sure that the high of either candle of the 2 pipe bottoms must be bigger than 40% of the true range added from the low of another candle, which in short, means that the high of the lower candle will at least be around the middle of the higher candle, and that will ensure price overlap. You can make this 50%, 60% or even 70% of the true range to ensure even greater price overlap, but you will find out that the signal amounts will decrease quite a lot after adjusting. Bulkowski also suggested 1% variation of the bottom price (low) of those 2 candles, I put it 5% (0.05) personally to get more signals since I do not solely rely on this indicator, and I want more pipe bottoms to show up on my chart for screening purposes. So, feel free to adjust that number for the identification of this pattern. Finally, the way I ensure it has been a downtrend or price drop is by checking if the price today is below the average of the last 10 trading days (14 calendar days), the price of the pipe bottoms must be below the moving averages of the past 10 trading days. I use hl2 here, feel free to change it to close or open as fit your strategy. Also, you can do this by making sure the candle close prices are decreasing in the past 10 trading days, or any other ways to ensure it's been in a downtrend, but for me, this works fine since again, this is just one of the many patterns I use, so I want more indicators to show up. So, as you can see on the chart. Whenever the pattern fits the indicator, a small white cross will show up under the candle with "Pipe" text next to it. But do NOT rush to buy yet, because in order to satisfy the pipe bottom pattern, the current close price must be higher than the high of the pipe bottom. And you will see green arrowups when a pipe bottom occurred the last candle, and the current close price is above the high of the pipe bottoms, that would be the entry point of this indicator. Overall it's a good pattern, especially for a trading bullish reversal after a huge price drop. You can adjust many numbers as I mentioned above to fit your needs, but make sure to add this with other indicators for your strategy, using only 1 indicator or pattern along is never a wise thing, especially in trading. Thanks guys, please like and share.
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BoilderRoomColdCaller tarafından
2
BTC VIP EMA CROSS Buy/Sell (GC & DC)EMA cross 5&10 standard-setting with add on of BUY/SELL signal ( GC & DC) which will make the traders have an indication of buy and sell easily and clearly. An exponential moving average strategy, or EMA strategy, is used to identify the predominant trend in the market. It can also provide the support and resistance level to execute your trade. Indicators: v4 (default setting), EMA 5 10 Crossover (default setting) Preferred Time Frame(s):15-Minute, 30-Minute, 1-Hour, 4-Hour, 1-Day Strategy Long Entry Rules Enter a buy in the market if the following indicator or chart pattern takes center stage: If the blue upward pointing arrow of the EMA 5 10 Crossover custom indicator gets aligned just somewhat below the candlesticks as seen in Fig. 1.0, the market sentiment is said to be bullish, hence a trigger to go long on the pair of interest. If the light blue line of the custom indicator gets outlined just below price bars as illustrated in Fig. 1.0, price is said to be pushed somewhat higher i.e. a trigger to buy the asset of focus. Exit Strategy/Take Profit for Buy Entry Exit or take profit if the following rules or conditions takes precedence: If the red downward pointing arrow of the EMA 5 10 Crossover custom indicator forms above price bars as depicted in Fig. 1.0 while a buy signal is ongoing in the market, a possible price dip is said to be looming, as such an exit or take profit is advised. If the red line of the custom indicator forms above the candlestick during a bullish trend, it is a pointer to a possible price dip, hence an exit or take profit is advised.
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johnson09 tarafından
8
Intrinsic value calculation Intrinsic value calculator based on Warren Buffet's and Ben Graham's work In value investing determing the true value of a COMPANY instead of a stock price is crucial. This little indicator shows the "Intrinsic value" of the choosen stock meaning the value of the stock in 10 years time. Calculation is based on historical book value's average annual growth rate and dividends paid. Since this is about long therm investing, use monthly charts. "Intrinsic value can be defined simply: It is the discounted value of the cash that can be taken out of a business during its remaining life.” – Warren Buffett One way to calculate that is by the growth in per share book value and dividends taken in the forseeable future (10 years) than discount it with the prevailing 10 year note's rate. In the inputs you have to set 2 variables: 1. How many years back you have the first data for book value per share available? 2. What was the per share book value that year? (Bookvalue is ploted in olive colour and you can get the oldest one if you move your cursor over the latest data on the left) CAUTION! You have to reenter it for every stock you analyse as this is stock-specific data! After setting the input data, you will see the "Intrinsic Value"'s pink curve ploted over the price chart. If the price is well below the pink line, the company is undervalued and can be a possible applicant for long therm investment. Margin of safety: when the current price is 50% below the intrinsic value that means a 10% yearly growth potential (100% growth in 10 years) or a 100% margin of safety. I am a beginer in Pine so please excuse my coding... If anybody knows hot to extract historical data from 15 years ago, please share it with me, so I can automate the whole calculation without inputs necessary.
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PeterNagy tarafından
24
M-OscillatorM-Oscillator developed By Mohamed Fawzy, MFTA, CFTe as Written in IFTA Journal 2018 Edition more info : ifta.org Interpretation • M-Oscillator is a bounded oscillator that moves between (-14) and (+14), • Movement above 10 is considered overbought, and movement below -10 is oversold. Overbought/Oversold rule: • Buy when the M-Oscillator violates the (-10) level to the downside and crosses back to the upside. • Sell when the M-Oscillator crosses above the (+10) level and crosses back to the downside. Crossover on Extreme Levels • Sell signals are triggered when the M-Oscillator crosses its signal line above (13), which indicates an extreme market condition • Buy signals are triggered when the M-Oscillator crosses its signal line below (- 13)
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Mango2Juice tarafından
9
2-Period RSI strategy (with filter)2-period RSI strategy backtest described in several books of the trader Larry Connors . This strategy uses a 2 periods RSI , one slow arithmetic moving average and one fast arithmetic moving average. Entry signal: - RSI 2 value below oversold level (Larry Connors usually sets oversold to be below 5, but other authors prefer to work below 10 due to the higher number of signals). - Closing above the slow average (200 periods). - Entry at closing of candle or opening of next candle. Exit signal: - Occurs when the candlestick closes above the fast average (the most common fast average is 5 periods, but some traders also suggest the 10 period average). Entry Filter (modification made by me): - Applied an RSI2 arithmetic moving average to smooth out oscillations. - Entered only when RSI2 is below oversold level and RSI2 moving average is below 30. * NOTE: In the stocks that I evaluate daily the averages of 4 and 6 periods work very well as a filter. Comments: This strategy works very well in Daily charts but can be applied in other chart times as well. As this is a strategy to catch market fluctuations, it presents different results with different stocks. I have been applying this strategy to the stocks of the Brazilian market (BOVESPA) and have enjoyed the result. Every day I evaluate the stocks that are generating entry signals and choose which one to trade based on the stocks with the highest Profit Value. The RSI 2 averaging filter probably will reduce profit of the backtests because reduces the number of signals, but the Profit Value will usually increase. For me this was a good thing because without the filter, this strategy usually shows more signals than I have capital to allocate. Before entering a trade I look at which fast average the paper has the highest Profit Value and then I use this average as my output signal for that trade (this change has greatly improved the result of the outputs). This strategy does not use Stop Loss because normally Stop Loss decreases effectiveness (profit). In any case, the option to apply a percentage Stop Loss if desired is added in the script. As the strategy does not use stop, extra caution with risk management is advisable. I advise not to allocate more than 20% of the trade capital in the same operation. I'm still studying ways to improve this strategy, but so far this is the best setup I've found. Suggestions are always welcome and we can test to see if they improve the backtest result. Good luck and good trades. ================================================ Backtest das estratégia do IFR de 2 períodos descrita em varios livros do trader Larry Connors . Esta estratégia usa um IFR de 2 períodos, uma média movel aritmética lenta e uma média movel aritmética rápida. Sinal de entrada: - Valor do IFR 2 abaixo do nível de sobrevenda (Larry Connors usualmente define sobrevenda sendo abaixo de 5, mas outros autores preferem trabalhar abaixo de 10 devido ao maior número de sinais). - Fechamento acima da média lenta (200 períodos). - Realizado a compra no fechamento do candle ou na abertura do candle seguinte. Sinal de saída: - Ocorre quando o candle fecha acima da média rápida (a média rápida mais comum é a de 5 períodos, mas alguns traders sugerem também a média de 10 períodos). Filtro para entrada (modificação feita por mim): - Aplicado uma média móvel aritmética do IFR2 para suavisar as oscilações. - Realizado a entrada apenas quando o IFR2 está abaixo do nível de sobrevenda e a média móvel do IFR2 está abaixo de 30. *OBS: nos ativos que avalio diariamente as médias de 4 e 6 períodos funcionam muito bem como filtro. Comentários: Esta estratégia funciona muito bem no tempo gráfico Diário mas pode ser aplicada tambem em outros tempos gráficos. Como trata-se de uma estratégia para pegar oscilações do mercado, ela apresenta diferentes resultados com diferentes ativos. Eu venho aplicando esta estratégia nos ativos do mercado brasileiro (BOVESPA) e tenho gostado do resultado. Diariamente eu avalio os papeis que estão gerando entrada e escolho qual irei realizar o trade baseado nos papeis que apresentam maior Profit Value. O filtro da média do IFR 2 reduz o lucro nos backtests pois reduz também a quantidade de sinais, mas em compensação o Profit Value irá normalmente aumentar. Para mim isto foi algo positivo pois, sem o filtro, normalmente esta estratégia apresenta mais sinais do que possuo capital para alocar. Antes de entrar em um trade eu olho em qual média rápida o papel apresenta maior Profit Value e então eu utilizo está média como meu sinal de saída para aquele trade (esta mudança tem melhorado bastante o resultado das saídas). Está estratégia não utiliza Stop Loss pois normalmente o Stop Loss diminui a eficácia (lucro). De qualquer maneira, foi acrescentado no script a opção de aplicar um Stop Loss percentual caso seja desejado. Como a estratégia não utiliza stop é aconselhável um cuidado redobrado com o gerenciamento de risco. Eu aconselho não alocar mais de 20% do capital de trade em uma mesma operação. Ainda estou estudando formas de melhorar esta estratégia, mas até o momento está é a melhor configuração que encontrei. Sugestões são sempre bem vindas e podemos testar para verificar se melhoram o resultado do backtest. Boa sorte e bons trades.
Pine Script® stratejisi
Tomazetti tarafından
12
Pinescript v3 Compatibility Framework (v4 Migration Tool)Pinescript v3 Compatibility Framework (v4 Migration Tool) This code makes most v3 scripts work in v4 with only a few minor changes below. Place the framework code before the first input statement. You can totally delete all comments. Pros: - to port to v4 you only need to make a few simple changes, not affecting the core v3 code functionality Cons: - without #include - large redundant code block, but can be reduced as needed - no proper syntax highlighting, intellisence for substitute constant names Make the following changes in v3 script: 1. standard types can't be var names, color_transp can't be in a function, rename in v3 script: color() => color.new() bool => bool_ integer => integer_ float => float_ string => string_ 2. init na requires explicit type declaration float a = na color col = na 3. persistent var init (optional): s = na s := nz(s , s) // or s := na(s ) ? 0 : s // can be replaced with var s var s = 0 s := s + 1 ___________________________________________________________ Key features of Pinescript v4 (FYI): 1. optional explicit type declaration/conversion (you still can't cast series to int) float s 2. persistent var modifier var s var float s 3. string series - persistent strings now can be used in cond and output to screen dynamically 4. label and line objects - can be dynamically created, deleted, modified using get/set functions, moved before/after the current bar - can be in if or a function unlike plot - max limit: 50-55 label, and 50-55 line drawing objects in addition to already existing plots - both not affected by max plot outputs 64 - can only be used in the main chart - can serve as the only output function - at least one is required: plot, barcolor, line, label etc. - dynamic var values (including strings) can be output to screen as text using label.new and to_string str = close >= open ? "up" : "down" label.new(bar_index, high, text=str) col = close >= open ? color.green : color.red label.new(bar_index, na, "close = " + tostring(close), color=col, textcolor=color.white, style=label.style_labeldown, yloc=yloc.abovebar) // create new objects, delete old ones l = line.new(bar_index, high, bar_index , low , width=4) line.delete(l ) // free object buffer by deleting old objects first, then create new ones var l = na line.delete(l) l = line.new(bar_index, high, bar_index , low , width=4)
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RagingRocketBull tarafından
8
Turtle Trade Channels by KıvanÇ fr3762his trend following system was designed by Dennis Gartman and Bill Eckhart, and relies on breakouts of historical highs and lows to take and close trades: it is the complete opposite to the "buy low and sell high" approach. This trend following system was taught to a group of average and normal individuals, and almost everyone turned into a profitable trader. The main rule is "Trade an N-day breakout and take profits when an M-day high or low is breached (N must me above M)". Examples: Buy a 10-day breakout and close the trade when price action reaches a 5-day low. Go short a 20-day breakout and close the trade when price action reaches a 10-day high. In this indicator, the red line is the trading line, and the dotted blue line is the exit line. Original system is: Go long when the trading line crosses below close price Go short when the trading line rosses above close price Exit long positions when the price touches the exit line Exit short positions when the price touches the exit line Recommended initial stop-loss is ATR * 2 from the opening price. Default system parameters were 20,10 and 55,20. Original Turtle Rules: To trade exactly like the turtles did, you need to set up two indicators representing the main and the failsafe system. Set up the main indicator with TradePeriod = 20 and StopPeriod = 10 (A.k.a S1) Set up the failsafe indicator with TradePeriod = 55 and StopPeriod = 20 using a different color. (A.k.a S2) The entry strategy using S1 is as follows Buy 20-day breakouts using S1 only if last signaled trade was a loss. Sell 20-day breakouts using S1 only if last signaled trade was a loss. If last signaled trade by S1 was a win, you shouldn't trade -Irregardless of the direction or if you traded last signal it or not- The entry strategy using S2 is as follows: Buy 55-day breakouts only if you ignored last S1 signal and the market is rallying without you Sell 55-day breakouts only if you ignored last S1 signal and the market is pluging without you The turtles had a progressive position sizing approach that boosted their winnings. Once a trading decision has been made you should... Developers: Dennis Gartman and Bill Eckhart İndikatörü geliştiren: Dennis Gartman and Bill Eckhart
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KivancOzbilgic tarafından
6
Amazing Crossover System - 100+ pips per day!I got the main concept for this system on another site. While I have made one important change, I must stress that the heart of this system was created by someone else! We must give credit where credit is due! Y'all know baby pips. @ForexPhantom published about this system and did both back and forward test around 10 years ago. I found it on the sit and now I put it to code to see how it performs. I assume 10 points spread for every trade. I use Renesource or AxiTrader to get the low spreads. There are 2 mods, the single trades and constant trading on the direction. Main concept Indicators 5 EMA -- YELLOW 10 EMA -- RED RSI (10 - Apply to Median Price: HL/2) -- One level at 50. TIME FRAME 1 Hour Only (very important!) PAIRS Virtually any pair seems to work as this is strictly technical analysis. I recommend sticking to the main currencies and avoiding cross currencies (just his preference). WHEN TO ENTER A TRADE Enter LONG when the Yellow EMA crosses the Red EMA from underneath. RSI must be approaching 50 from the BOTTOM and cross 50 to warrant entry. Enter SHORT when the Yellow EMA crosses the Red EMA from the top. RSI must be approaching 50 from the TOP and cross 50 to warrant entry. I've attached a picture which demonstrates all these conditions. That's it! f.bpcdn.co
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DevLucem tarafından
7
Trend Score by KIVANÇ fr3762Trend Score compares close prices between last close with previous closes by a certain period of time. It's like momentum but gives a score +1 when close price is equal to or above (defaultly) 10 bars ago and gives a score of -1 when below. calculation continues from default length to the 2 times of length. Defaultly (for 10 bars length) If Trend Score converges to 10; that means there's a strong uptrend conversely if Trend Score converges to -10; that means a strong downtrend market is on.
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KivancOzbilgic tarafından
6
JSE Wyckoff Wave Volume Code// The Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE). // The JSE Wyckoff Wave is in a separate code. This is the code for the volume of the wave. Please see code for the JSE Wyckoff Wave which goes with this indicator. // // The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks). // The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves. // This is only my attempt to select 10 stocks and a different selection can be made. // I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock volumne so that moves are of equal magnitude. // The then provides a view of the overall condition of the market and volume flow in the market. // // I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership. // // Please, let me know if there is a better work around this. The stocks and their weightings are: "JSE:BTI"/0.79 "JSE:SHP"/2.87 "JSE:NPN"/0.18 "JSE:AGL"/1.96 "JSE:SOL"/1.0 "JSE:CFR"/4.42 "JSE:MND"/1.40 "JSE:MTN"/7.63 "JSE:SLM"/7.29 "JSE:FSR"/8.25
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SteynTrade tarafından
1
JSE Wyckoff WaveThe Stock Market Institute (SMI) describes an propriety indicator the "SMI Wyckoff Wave" for US Stocks. This code is an attempt to make a Wyckoff Wave for the Johannesburg Stock Exchange (JSE). Once the wave has been established the volume can also be calculated. Please see code for the JSE Wyckoff Wave Volume which goes with this indicator. The Wave presents a normalized price for the 10 selected stocks (An Index for the 10 stocks). The theory is to select stocks that are widely held, market leaders, actively traded and participate in important market moves. This is only my attempt to select 10 stocks and a different selection can be made. I am not certain how SMI determine their weightings but what I have done it to equalize the Rand value of the stock so that moves are of equal magnitude. The then provides a view of the overall condition of the market and volume flow in the market. I have used the September 2018 price to normalize the stock price for the 10 selected stocks based. The stocks and weightings can be changed periodically depending on the performance and leadership. Most Indecies when constructed assume that all high prices and all low prices happen at the same time and therefor inflate the wicks of the bars. To make the wave more representatives for the SMI Wyckoff Wave the price is determined on the 5 minute timeframe which removes this bias. However, TradingView does not calculate properly when selecting a lower timeframe than in current period. A work around is to call the sma of the highs and add these which provides more realistic tails. Please, let me know if there is a better work around this. The stocks and their weightings are: "JSE:BTI"*0.79 "JSE:SHP"*2.87 "JSE:NPN"*0.18 "JSE:AGL"*1.96 "JSE:SOL"*1.0 "JSE:CFR"*4.42 "JSE:MND"*1.40 "JSE:MTN"*7.63 "JSE:SLM"*7.29 "JSE:FSR"*8.25
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SteynTrade tarafından
XPloRR MA-Buy ATR-Trailing-Stop Long Term Strategy Beating B&HXPloRR MA-Buy ATR-MA-Trailing-Stop Strategy Long term MA Trailing Stop strategy to beat Buy&Hold strategy None of the strategies that I tested can beat the long term Buy&Hold strategy. That's the reason why I wrote this strategy. Purpose: beat Buy&Hold strategy with around 10 trades. 100% capitalize sold trade into new trade. My buy strategy is triggered by the EMA(blue) crossing over the SMA curve(orange). My sell strategy is triggered by another EMA(lime) of the close value crossing the trailing stop(green) value. The trailing stop value(green) is set to a multiple of the ATR(15) value. ATR(15) is the SMA(15) value of the difference between high and low values. Every stock has it's own "DNA", so first thing to do is find the right parameters to get the best strategy values voor EMA, SMA and Trailing Stop. Then keep using these parameter for future buy/sell signals only for that particular stock. Do the same for other stocks. Here are the parameters: Exponential MA: buy trigger when crossing over the SMA value (use values between 11-50) Simple MA: buy trigger when EMA crosses over the SMA value (use values between 20 and 200) Stop EMA: sell trigger when Stop EMA of close value crosses under the trailing stop value (use values between 8 and 16) Trailing Stop #ATR: defines the trailing stop value as a multiple of the ATR(15) value Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now): BAR(Barco): EMA=11, SMA=82, StopEMA=12, Stop#ATR=9 Buy&HoldProfit: 45.82%, NetProfit: 294.7%, #Trades:8, %Profit:62.5%, ProfitFactor: 12.539 AAPL(Apple): EMA=12, SMA=45, StopEMA=12, Stop#ATR=6 Buy&HoldProfit: 2925.86%, NetProfit: 4035.92%, #Trades:10, %Profit:60%, ProfitFactor: 6.36 BEKB(Bekaert): EMA=12, SMA=42, StopEMA=12, Stop#ATR=7 Buy&HoldProfit: 81.11%, NetProfit: 521.37%, #Trades:10, %Profit:60%, ProfitFactor: 2.617 SOLB(Solvay): EMA=12, SMA=63, StopEMA=11, Stop#ATR=8 Buy&HoldProfit: 43.61%, NetProfit: 151.4%, #Trades:8, %Profit:75%, ProfitFactor: 3.794 PHIA(Philips): EMA=11, SMA=80, StopEMA=8, Stop#ATR=10 Buy&HoldProfit: 56.79%, NetProfit: 198.46%, #Trades:6, %Profit:83.33%, ProfitFactor: 23.07 I am very curious to see the parameters for your stocks and please make suggestions to improve this strategy.
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XPl0RR tarafından
1
Mattzab ArrowsMattzab Arrows THE BASICS Buy and Sell Signal Arrows Tack Marks to show how close the next opposite arrow might be- showing possible trend reversals Standard Bollinger Bands 10-Day SMA Line Configurable Open Source THE NITTY GRITTY For starters, all values listed below can be changed in the settings. Length of time, as well as source, can be changed. For the Hidden EMA, this can be made visible by increasing its transparency. ARROWS The buy and sell signal arrows are based on price and MACD histogram. The MACD settings are as follows: 10 day fast EMA , 20 day slow EMA , 5 day SMA signal smoothing. Instead of close price, we are using the average point of the day's high, low, and close. For the arrows, current price and yesterday's price are using hl2 for high/low average. A BUY arrow is created when: Current Price IS GREATER THAN Previous Price _AND_ Current MACD Histogram IS GREATER THAN Previous MACD Histogram. Important Note! Because the MACD Histogram repaints, the buy arrows may appear, then disappear later in the day, if the MACD changes. Check on the changelog to see if I've fixed it by the time you're reading this. (TradingView doesn't let you edit the description after it's been posted) A SELL arrow is created when: Current Price IS LESS THAN Previous Price _AND_ Current MACD Histogram IS LESS THAN Yesterday's MACD Histogram _AND_ Close Price is below _EITHER_ the Hidden EMA (default set to 4) _OR_ the Visible SMA (Default set to 10, which is the black line). The hidden EMA can be made visible by increasing it's transparency in the Style tab. Including the requirement to only sell if the standard conditions are met, PLUS being below one of those moving average lines, helps to prevent false sell arrows and repainting. TACK MARKS The Red Tack is the threshold, or barrier, for the next arrow. It will not move. It is based on previous High/Low/Close Price + MACD. The Blue Tack is the current point in space for our average Price and MACD Delta Values. It will move throughout the day (or hour or minute depending on your resolution). The Blue Tack will give you an indication of how close or how far from the reversal threshold (Red Tack) the ticker is at that point. While the Blue Tack is ABOVE Red, the most recent signal arrow will be a buy, and we are in a buy/hold period. While the Blue Tack is BELOW Red, the most recent signal arrow will be a sell, and we are in a sell/wait period. If the Blue Tack crosses above or below Red, you'll get the next arrow. MOVING AVERAGE LINES There are three moving average lines in this indicator. The first is black, and is by default a 10-Day Simple Moving Average Line. This black line is a good safeguard against selling too early. This is a good support line and that's how I use it. The second is invisible, but can be made visible in the Styling, and is by default a 4-Day Exponential Moving Average Line The third is the blue 20-Day Bollinger Band line. BOLLINGER BANDS The Bollinger Bands are unmodified and are just a background indicator for your use. If you prefer not to see the Bollinger Bands , change their transparency to 0% to hide them. I've cleaned up the Bollinger Bands to make the indicator as a whole- easier on the eyes. Please leave feedback on how the script works for you, if you run into problems, if you have any changes you'd like to see, etc.
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mattzab tarafından
6
MACDouble + RSI (rec. 15min-2hr intrv) Uses two sets of MACD plus an RSI to either long or short. All three indicators trigger buy/sell as one (ie it's not 'IF MACD1 OR MACD2 OR RSI > 1 = buy", its more like "IF 1 AND 2 AND RSI=buy", all 3 match required for trigger) The MACD inputs should be tweaked depending on timeframe and what you are trading. If you are doing 1, 3, 5 min or real frequent trading then 21/44/20 and 32/66/29 or other high value MACDs should be considered. If you are doing longer intervals like 2, 3, 4hr then consider 9/19/9 and 21/44/20 for MACDs (experiment! I picked these example #s randomly). Ideal usage for the MACD sets is to have MACD2 inputs at around 1.5x, 2x, or 3x MACD1's inputs. Other settings to consider: try having fastlength1=macdlength1 and then (fastlength2 = macdlength2 - 2). Like 10/26/10 and 23/48/20. This seems to increase net profit since it is more likely to trigger before major price moves, but may decrease profitable trade %. Conversely, consider FL1=MCDL1 and FL2 = MCDL2 + (FL2 * 0.5). Example: 10/26/10 and 22/48/30 this can increase profitable trade %, though may cost some net profit. Feel free to message me with suggestions or questions.
Pine Script® stratejisi
RyanMartin tarafından
6
Kay_BBandsV3This is the 3rd version of Kay_BBands. When +DI (Directional Index ) is above -DI , then Upper band will be visible and vice-versa. This is when the ADX is above the threshold. 28 is the default in this version. I found its more appealing in 5M time frame. BLUE - ADX under 10 GREEN - Uptrend, ADX over 10 RED - Downtrend, ADX over 10 Use it with another band with setting 20, 0.6 deviation. Prices keeping above or below the 2nd bands upper or lower bounds shows trending conditions. I didn't know how to update the old script so published it again. Changes - : 1) Updated default settings for the indicator 2) ADX setting are now DI (28), ADX (10), adx level to check is 10. 3) IMPORTANT one - When DI is up/down, lower/upper band will also have color (more visible that way.) Play around the settings.. It really eliminates extra indicator checking visually... Please like if you think idea is good.
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trading.kay27 tarafından
2
CM Renko Overlay BarsCM_Renko Overlay Bars V1 Overlays Renko Bars on Regular Price Bars. Default Renko plot is based on Average True Range. Look Back period adjustable in Inputs Tab. If you Choose to use "Traditional" Renko bars and pick the Size of the Renko Bars the please read below. Value in Input Tab is multiplied by .001 (To work on Forex) 1 = 10 pips on EURUSD - 1 X .001 = .001 or 10 Pips 10 = .01 or 100 Pips 1000 = 1 point to the left of decimal. 1 Point in Stocks etc. 10000 = 10 Points on Stocks etc. ***V2 will fix this issue.
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ChrisMoody tarafından
20
Custom Indicator - No Trade Zone Warning Back Ground Highlights!Years ago I did an analysis of my trades. Every period of the day was profitable except for two. From 10:00-1030, and 1:00 to 1:30. (I was actively Day Trading Futures) Imagine a vertical graph broken down in to 30 minute time segments. I had nice Green bars in every time slot (Showing Net Profits), and HUGE Red Bars from 10 to 10:30 and 1 to 1:30. After analysis I found I made consistent profits at session open, but then I would enter in to bad setups around 10 to make more money. I also found after I took lunch when I came back at 1:00 I would force trades instead of patiently waiting for a great trade setup. I created an indicator that plotted a red background around those times telling me I was not allowed to enter a trade. Profits went up!!! Details on How to adjust times are in 1st Post. You can adjust times and colors to meet your own trading needs.
Pine Script® göstergesi
ChrisMoody tarafından
15
Volatility Forecast/*============================================================================== Volatility Forecast — Publishable Documentation Author: @BB_9791 License: Mozilla Public License 2.0 WHAT THIS INDICATOR SHOWS - A daily volatility estimate in percent points, called sigma_day. - A slow volatility anchor, the 10-year EMA of sigma_day. - A blended volatility series in percent points: sigma_blend = (1 − p) * sigma_day + p * EMA_10y(sigma_day) where p is the Slow weight %, default 30. - Optional annualization by multiplying by 16, this is a daily-to-annual conversion used by Robert Carver in his writings. METHODOLOGY, CREDIT The estimator follows the approach popularized by Robert Carver ("Systematic Trading", "Advanced Futures Trading Strategies", blog qoppac). Current daily volatility is computed as an exponentially weighted standard deviation of daily percent returns, with alpha = 2 / (span + 1). The slow leg is a long EMA of that volatility series, about 10 years. The blend uses fixed weights. This keeps the slow leg meaningful through large price level changes, since the blend is done in percent space first. MATH DETAILS Let r_t be daily percent return: r_t = 100 * (Close_t / Close_{t−1} − 1) EWMA mean and variance: m_t = α * r_t + (1 − α) * m_{t−1} v_t = α * (r_t − m_t)^2 + (1 − α) * v_{t−1} where α = 2 / (span_current + 1) Current daily sigma in percent points: sigma_day = sqrt(v_t) Slow leg: sigma_10y = EMA(sigma_day, span_long) Blend: sigma_blend = (1 − p) * sigma_day + p * sigma_10y Annualized option: sigma_ann = 16 * sigma_blend INPUTS - Threshold (percent points): horizontal guide level on the chart. - Short term span (days): EW stdev span for sigma_day. - Long term span (days): EMA span for the slow leg, choose about 2500 for 10 years. - Slow weight %: p in the blend. - Annualize (x16): plot daily or annualized values. - Show components: toggles Current and 10y EMA lines. - The script uses the chart symbol by default. PLOTS - Blended σ% as the main line. - Optional Current σ% and 10y EMA σ%. - Editable horizontal threshold line in the same units as the plot (percent points per day or per year). - Optional EMA 9 and EMA 20 cloud on the blended series, green for uptrend when EMA 9 is above EMA 20, red otherwise. Opacity is configurable. HOW TO READ - Values are percent points of movement per day when not annualized, for example 1.2 means about 1.2% typical daily move. - With annualize checked, values are percent points per year, for example 18 means about 18% annualized volatility. - Use the threshold and the EMA cloud to mark high or low volatility regimes. NOTES - All calculations use daily data via request.security at the chart symbol. - The blend is done in percent space, then optionally annualized, which avoids bias from the price level. - This script does not produce trading signals by itself, it is a risk and regime indicator. CREDITS Volatility forecasting method and scaling convention credited to Robert Carver. See his books and blog for background and parameter choices. VERSION v1.0 Initial public release. ==============================================================================*/
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BB_9791 tarafından
ATR Extension from Moving Average, with Robust Sigma Bands # ATR Extension from Moving Average, with Robust Sigma Bands **What it does** This indicator measures how far price is from a selected moving average, expressed in **ATR multiples**, then overlays **robust sigma bands** around the long run central tendency of that extension. Positive values mean price is extended above the MA, negative values mean price is extended below the MA. The signal adapts to volatility through ATR, which makes comparisons consistent across symbols and regimes. **Why it can help** * Normalizes distance to an MA by ATR, which controls for changing volatility * Uses the **bar’s extreme** against the MA, not just the close, so it captures true stretch * Computes a **median** and **standard deviation** of the extension over a multi-year window, which yields simple, intuitive bands for trend and mean-reversion decisions --- ## Inputs * **MA length**: default 50, options 200, 64, 50, 20, 9, 4, 3 * **MA timeframe**: Daily or Weekly. The MA is computed on the chosen higher timeframe through `request.security`. * **MA type**: EMA or SMA * **Years lookback**: 1 to 10 years, default 5. This sets the sample for the median and sigma calculation, `years * 365` bars. * **Line width**: visual width of the plotted extension series * **Table**: optional on-chart table that displays the current long run **median** and **sigma** of the extension, with selectable text size **Fixed parameters in this release** * **ATR length**: 20 on the daily timeframe * **ATR type**: classic ATR. ADR percent is not enabled in this version. --- ## Plots and colors * **Main plot**: “Extension from 50d EMA” by default. Value is in **ATR multiples**. * **Reference lines**: * `median` line, black dashed * +2σ orange, +3σ red * −2σ blue, −3σ green --- ## How it is calculated 1. **Moving average** on the selected higher timeframe: EMA or SMA of `close`. 2. **Extreme-based distance** from MA, as a percent of price: * If `close > MA`, use `(high − MA) / close * 100` * Else, use `(low − MA) / close * 100` 3. **ATR percent** on the daily timeframe: `ATR(20) / close * 100` 4. **ATR multiples**: extension percent divided by ATR percent 5. **Robust center and spread** over the chosen lookback window: * Center: **median** of the ATR-multiple series * Spread: **standard deviation** of that series * Bands: center ± 1σ, 2σ, 3σ, with 2σ and 3σ drawn This design yields an intuitive unit scale. A value of **+2.0** means price is about 2 ATR above the selected MA by the most stretched side of the current bar. A value of **−3.0** means roughly 3 ATR below. --- ## Practical use * **Trend continuation** * Sustained readings near or above **+1σ** together with a rising MA often signal healthy momentum. * **Mean reversion** * Spikes into **±2σ** or **±3σ** can identify stretched conditions for fade setups in range or late-trend environments. * **Regime awareness** * The **median** moves slowly. When median drifts positive for many months, the market spends more time extended above the MA, which often marks bullish regimes. The opposite applies in bearish regimes. **Notes** * The MA can be set to Weekly while ATR remains Daily. This is deliberate, it keeps the normalization stable for most symbols. * On very short intraday charts, the extension remains meaningful since it references the session’s extreme against a higher-timeframe MA and a daily ATR. * Symbols with short histories may not fill the lookback window. Bands will adapt as data accrues. --- ## Table overlay Enable **Table → Show** to see: * “ATR from \” * Current **median** and **sigma** of the extension series for your lookback --- ## Recommended settings * **Swing equities**: 50 EMA on Daily, 5 to 7 years * **Index trend work**: 200 EMA on Daily, 10 years * **Position trading**: 20 or 50 EMA on Weekly MA, 5 to 10 years --- ## Interpretation examples * Reading **+2.7** with price above a rising 50 EMA, near prior highs * Strong trend extension, consider pyramiding in trend systems or waiting for a pullback if you are a mean-reverter. * Reading **−2.2** into multi-month support with flattening MA * Stretch to the downside that often mean-reverts, size entries based on your system rules. --- ## Credits The concept of measuring stretch from a moving average in ATR units has a rich community history. This implementation and its presentation draw on ideas popularized by **Jeff Sun**, **SugarTrader**, and **Steve D Jacobs**. Thanks to each for their contributions to ATR-based extension thinking. --- ## License This script and description are distributed under **MPL-2.0**, consistent with the header in the source code. --- ## Changelog * **v1.0**: Initial public release. Daily ATR normalization, EMA or SMA on D or W timeframe, robust median and sigma bands, optional table. --- ## Disclaimer This tool is for educational use only. It is not financial advice. Always test on your own data and strategies, then manage risk accordingly.
Pine Script® göstergesi
BB_9791 tarafından
HSM KILLZONE//@version=5 indicator('HSM KILLZONE', 'HSM KILLZONE', overlay=true, max_bars_back=500, explicit_plot_zorder=true) import boitoki/AwesomeColor/4 as ac import boitoki/Utilities/3 as util /////////////// // Groups /////////////// g0 = 'GENERAL' g1_01 = '♯1 SESSION' g1_02 = '♯2 SESSION' g1_03 = '♯3 SESSION' g1_04 = '♯4 SESSION' g4 = 'BOX' g6 = 'LABELS' g5 = 'OPENING RANGE' g7 = 'FIBONACCI LEVELS' g8 = 'OPTIONS' g11 = 'CANDLE' g10 = 'Alerts visualized' /////////////// // Defined /////////////// max_bars = 500 option_yes = 'Yes' option_no = '× No' option_extend1 = 'Yes' option_hide = '× Hide' option_border_style1 = '────' option_border_style2 = '- - - - - -' option_border_style3 = '•••••••••' option_chart_x = '× No' option_chart_1 = 'Bar color' option_chart_2 = 'Candles' fmt_price = '{0,number,#.#####}' fmt_pips = '{0,number,#.#}' icon_separator = ' • ' color_none = color.new(color.black, 100) color_text = color.new(color.white, 0) /////////////// // Functions /////////////// f_get_time_by_bar(bar_count) => timeframe.multiplier * bar_count * 60 * 1000 f_border_style (_style) => switch _style option_border_style1 => line.style_solid option_border_style2 => line.style_dashed option_border_style3 => line.style_dotted => _style f_get_period (_session, _start, _lookback) => result = math.max(_start, 1) for i = result to _lookback if na(_session ) and _session result := i+1 break result f_get_label_position (_y, _side) => switch _y 'top' => _side == 'outside' ? label.style_label_lower_left : label.style_label_upper_left 'bottom' => _side == 'outside' ? label.style_label_upper_left : label.style_label_lower_left f_get_started (_session) => na(_session ) and _session f_get_ended (_session) => na(_session) and _session f_message_limit_bars (_v) => '⚠️ This box\'s right position exceeds 500 bars(' + str.tostring(_v) + '). This box is not displayed correctly.' f_set_line_x1 (_line, _x) => if (line.get_x1(_line) != _x) line.set_x1(_line, _x) f_set_line_x2 (_line, _x) => if (line.get_x2(_line) != _x) line.set_x2(_line, _x) f_set_box_right (_box, _x) => if box.get_right(_box) != _x box.set_right(_box, _x) /////////////// // Inputs /////////////// // Timezone i_tz = input.string('GMT-4', title='Timezone', options= , tooltip='e.g. \'America/New_York\', \'Asia/Tokyo\', \'GMT-4\', \'GMT+9\'...', group=g0) i_history_period = input.int(10, 'History', minval=0, group=g0) i_show = i_history_period > 0 i_lookback = 12 * 60 // Sessions i_show_sess1 = input.bool(true, 'Session 1  ', group=g1_01, inline='session1_1') and i_show i_sess1_label = input.string('New York AM', '', group=g1_01, inline='session1_1') i_sess1_color = input.color(#0a0a0a, '', group=g1_01, inline='session1_1') i_sess1_barcolor1 = input.color(#0a0a0a, '•', group=g1_01, inline='session1_1') i_sess1_barcolor2 = input.color(#0a0a0a, '', group=g1_01, inline='session1_1') i_sess1 = input.session('0700-1100', 'Time', group=g1_01) i_sess1_extend = input.string(option_no, 'Extend', options= , group=g1_01) i_sess1_fib = input.string(option_no, 'Fibonacci levels', group=g1_01, options= ) != option_no i_sess1_op = input.string(option_no, 'Opening range', group=g1_01, options= ) != option_no and i_show i_sess1_chart = input.string(option_chart_x, 'Bar', options= , group=g1_01) i_sess1_barcolor = i_sess1_chart == option_chart_1 i_sess1_plotcandle = i_sess1_chart == option_chart_2 i_show_sess2 = input.bool(true, 'Session 2  ', group=g1_02, inline='session2_1') and i_show i_sess2_label = input.string('New York PM', '', group=g1_02, inline='session2_1') i_sess2_color = input.color(#0a0a0a, '', group=g1_02, inline='session2_1') i_sess2_barcolor1 = input.color(#0a0a0a, '•', group=g1_02, inline='session2_1') i_sess2_barcolor2 = input.color(#0a0a0a, '', group=g1_02, inline='session2_1') i_sess2 = input.session('1300-1600', 'Time', group=g1_02) i_sess2_extend = input.string(option_no, 'Extend', options= , group=g1_02) i_sess2_fib = input.string(option_no, 'Fibonacci levels', group=g1_02, options= ) != option_no i_sess2_op = input.string(option_no, 'Opening range', group=g1_02, options= ) != option_no and i_show i_sess2_chart = input.string(option_chart_x, 'Bar', options= , group=g1_02) i_sess2_barcolor = i_sess2_chart == option_chart_1 i_sess2_plotcandle = i_sess2_chart == option_chart_2 i_show_sess3 = input.bool(true, 'Session 3  ', group=g1_03, inline='session3_1') and i_show i_sess3_label = input.string('Asian Sesh', '', group=g1_03, inline='session3_1') i_sess3_color = input.color(#0a0a0a, '', group=g1_03, inline='session3_1') i_sess3_barcolor1 = input.color(#0a0a0a, '•', group=g1_03, inline='session3_1') i_sess3_barcolor2 = input.color(#0a0a0a, '', group=g1_03, inline='session3_1') i_sess3 = input.session('2000-0000', 'Time', group=g1_03) i_sess3_extend = input.string(option_no, 'Extend', options= , group=g1_03) i_sess3_fib = input.string(option_no, 'Fibonacci levels', group=g1_03, options= ) != option_no i_sess3_op = input.string(option_no, 'Opening range', group=g1_03, options= ) != option_no and i_show i_sess3_chart = input.string(option_chart_x, 'Bar', options= , group=g1_03) i_sess3_barcolor = i_sess3_chart == option_chart_1 i_sess3_plotcandle = i_sess3_chart == option_chart_2 i_show_sess4 = input.bool(true, 'Session 4  ', group=g1_04, inline='session4_1') and i_show i_sess4_label = input.string('London', '', group=g1_04, inline='session4_1') i_sess4_color = input.color(#0a0a0a, '', group=g1_04, inline='session4_1') i_sess4_barcolor1 = input.color(#0a0a0a, '•', group=g1_04, inline='session4_1') i_sess4_barcolor2 = input.color(#0a0a0a, '', group=g1_04, inline='session4_1') i_sess4 = input.session('0200-0500', 'Time', group=g1_04) i_sess4_extend = input.string(option_no, 'Extend', options= , group=g1_04) i_sess4_fib = input.string(option_no, 'Fibonacci levels', group=g1_04, options= ) != option_no i_sess4_op = input.string(option_no, 'Opening range', group=g1_04, options= ) != option_no and i_show i_sess4_chart = input.string(option_chart_x, 'Bar', options= , group=g1_04) i_sess4_barcolor = i_sess4_chart == option_chart_1 i_sess4_plotcandle = i_sess4_chart == option_chart_2 // Show & Styles i_sess_box_style = input.string('Box', 'Style', options= , group=g4) i_sess_border_style = f_border_style(input.string(option_border_style2, 'Line style', options= , group=g4)) i_sess_border_width = input.int(1, 'Thickness', minval=0, group=g4) i_sess_bgopacity = input.int(94, 'Transp', minval=0, maxval=100, step=1, group=g4, tooltip='Setting the 100 is no background color') // Candle option_candle_body = 'OC' option_candle_wick = 'OHLC' i_candle = input.string(option_hide, 'Display', options= , group=g11) i_candle_border_width = input.int(2, 'Thickness', minval=0, group=g11) i_show_candle = (i_candle != option_hide) and (i_candle_border_width > 0) i_show_candle_wick = i_candle == option_candle_wick option_candle_color1 = 'Session\'s' option_candle_color2 = 'Red • Green' i_candle_color = input.string(option_candle_color2, 'Color ', options= , group=g11, inline='candle_color') i_candle_color_g = input.color(#A6E22E, '', group=g11, inline='candle_color') i_candle_color_r = input.color(#F92672, '', group=g11, inline='candle_color') // Labels i_label_show = input.bool(true, 'Labels', inline='label_show', group=g6) and i_show i_label_size = str.lower(input.string('Small', '', options= , inline='label_show', group=g6)) i_label_position_y = str.lower(input.string('Top', '', options= , inline='label_show', group=g6)) i_label_position_s = str.lower(input.string('Outside', '', options= , inline='label_show', group=g6)) i_label_position = f_get_label_position(i_label_position_y, i_label_position_s) i_label_format_name = input.bool(true, 'Name', inline='label_format', group=g6) i_label_format_day = input.bool(false, 'Day', inline='label_format', group=g6) i_label_format_price = input.bool(false, 'Price', inline='label_format', group=g6) i_label_format_pips = input.bool(false, 'Pips', inline='label_format', group=g6) // Fibonacci levels i_f_linestyle = f_border_style(input.string(option_border_style1, title="Style", options= , group=g7)) i_f_linewidth = input.int(1, title="Thickness", minval=1, group=g7) // Opening range i_o_minutes = input.int(15, title='Periods (minutes)', minval=1, step=1, group=g5) i_o_minutes := math.max(i_o_minutes, timeframe.multiplier + 1) i_o_transp = input.int(88, title='Transp', minval=0, maxval=100, step=1, group=g5) // Alerts i_alert1_show = input.bool(false, 'Alerts - Sessions stard/end', group=g10) i_alert2_show = input.bool(false, 'Alerts - Opening range breakouts', group=g10) i_alert3_show = input.bool(false, 'Alerts - Price crossed session\'s High/Low after session closed', group=g10) // ------------------------ // Drawing labels // ------------------------ f_render_label (_show, _session, _is_started, _color, _top, _bottom, _text, _labels) => var label my_label = na var int start_time = na v_position_y = (i_label_position_y == 'top') ? _top : _bottom v_label = array.new_string() v_chg = _top - _bottom if _is_started start_time := time if i_label_format_name and not na(_text) array.push(v_label, _text) if i_label_format_day array.push(v_label, util.get_day(dayofweek(start_time, i_tz))) if i_label_format_price array.push(v_label, str.format(fmt_price, v_chg)) if i_label_format_pips array.push(v_label, str.format(fmt_pips, util.toPips(v_chg)) + ' pips') if _show if _is_started my_label := label.new(bar_index, v_position_y, array.join(v_label, icon_separator), textcolor=_color, color=color_none, size=i_label_size, style=i_label_position) array.push(_labels, my_label) util.clear_labels(_labels, i_history_period) else if _session label.set_y(my_label, v_position_y) label.set_text(my_label, array.join(v_label, icon_separator)) // ------------------------ // Drawing Fibonacci levels // ------------------------ f_render_fibonacci (_show, _session, _is_started, _x1, _x2, _color, _top, _bottom, _level, _width, _style, _is_extend, _lines) => var line my_line = na if _show y = (_top - _bottom) * _level + _bottom if _is_started my_line := line.new(_x1, y, _x2, y, width=_width, color=color.new(_color, 30), style=_style) array.push(_lines, my_line) if _is_extend line.set_extend(my_line, extend.right) else if _session line.set_y1(my_line, y) line.set_y2(my_line, y) f_set_line_x2(my_line, _x2) // ------------------------ // Drawing Opening range // ------------------------ f_render_oprange (_show, _session, _is_started, _x1, _x2, _color, _max, _is_extend, _boxes) => var int start_time = na var box my_box = na top = ta.highest(high, _max) bottom = ta.lowest(low, _max) is_crossover = ta.crossover(close, box.get_top(my_box)) is_crossunder = ta.crossunder(close, box.get_bottom(my_box)) if _show if _is_started util.clear_boxes(_boxes, math.max(0, i_history_period - 1)) start_time := time my_box := na else if _session time_op = start_time + (i_o_minutes * 60 * 1000) time_op_delay = time_op - f_get_time_by_bar(1) if time <= time_op and time > time_op_delay my_box := box.new(_x1, top, _x2, bottom, border_width=0, bgcolor=color.new(_color, i_o_transp)) array.push(_boxes, my_box) if _is_extend box.set_extend(my_box, extend.right) my_box else f_set_box_right(my_box, _x2) if is_crossover alert('Price crossed over the opening range', alert.freq_once_per_bar) if i_alert2_show label.new(bar_index, box.get_top(my_box), "×", color=color.blue, textcolor=ac.tradingview('blue'), style=label.style_none, size=size.large) if is_crossunder alert('Price crossed under the opening range', alert.freq_once_per_bar) if i_alert2_show label.new(bar_index, box.get_bottom(my_box), "×", color=color.red, textcolor=ac.tradingview('red'), style=label.style_none, size=size.large) my_box // ------------------------ // Drawing candle // ------------------------ f_render_candle (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _open, _x1, _x2, _boxes, _lines) => var box body = na var line wick1 = na var line wick2 = na border_width = i_candle_border_width cx = math.round(math.avg(_x2, _x1)) - math.round(border_width / 2) body_color = i_candle_color == option_candle_color2 ? close > _open ? i_candle_color_g : i_candle_color_r : _color if _show if _is_started body := box.new(_x1, _top, _x2, _bottom, body_color, border_width, line.style_solid, bgcolor=color.new(color.black, 100)) wick1 := i_show_candle_wick ? line.new(cx, _top, cx, _top, color=_color, width=border_width, style=line.style_solid) : na wick2 := i_show_candle_wick ? line.new(cx, _bottom, cx, _bottom, color=_color, width=border_width, style=line.style_solid) : na array.push(_boxes, body) array.push(_lines, wick1) array.push(_lines, wick2) util.clear_boxes(_boxes, i_history_period) util.clear_lines(_lines, i_history_period * 2) else if _session top = math.max(_open, close) bottom = math.min(_open, close) box.set_top(body, top) box.set_bottom(body, bottom) box.set_right(body, _x2) box.set_border_color(body, body_color) line.set_y1(wick1, _top) line.set_y2(wick1, top) f_set_line_x1(wick1, cx) f_set_line_x2(wick1, cx) line.set_color(wick1, body_color) line.set_y1(wick2, _bottom) line.set_y2(wick2, bottom) f_set_line_x1(wick2, cx) f_set_line_x2(wick2, cx) line.set_color(wick2, body_color) else if _is_ended box.set_right(body, bar_index) // ------------------------ // Rendering limit message // ------------------------ f_render_limitmessage (_show, _session, _is_started, _is_ended, _x, _y, _rightbars) => var label my_note = na if _show if _is_started if _rightbars > max_bars my_note := label.new(_x, _y, f_message_limit_bars(_rightbars), style=label.style_label_upper_left, color=color.yellow, textalign=text.align_left, yloc=yloc.price) else if _session if _rightbars > max_bars label.set_y(my_note, _y) label.set_text(my_note, f_message_limit_bars(_rightbars)) else label.delete(my_note) else if _is_ended label.delete(my_note) true // Rendering session // f_render_sessionrange (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _lines) => var line above_line = na var line below_line = na if _show if _is_started above_line := line.new(_x1, _top, _x2, _top, width=i_sess_border_width, style=i_sess_border_style, color=_color) below_line := line.new(_x1, _bottom, _x2, _bottom, width=i_sess_border_width, style=i_sess_border_style, color=_color) linefill.new(above_line, below_line, color.new(_color, i_sess_bgopacity)) array.push(_lines, above_line) array.push(_lines, below_line) util.clear_lines(_lines, i_history_period * 2) if _is_extend line.set_extend(above_line, extend.right) line.set_extend(below_line, extend.right) else if _session line.set_y1(above_line, _top) line.set_y2(above_line, _top) line.set_x2(above_line, _x2) line.set_y1(below_line, _bottom) line.set_y2(below_line, _bottom) line.set_x2(below_line, _x2) true else if _is_ended true true // ------------------------ // Rendering session box // ------------------------ f_render_session (_show, _session, _is_started, _is_ended, _color, _top, _bottom, _x1, _x2, _is_extend, _boxes) => var box my_box = na if _show if _is_started my_box := box.new(_x1, _top, _x2, _bottom, _color, i_sess_border_width, i_sess_border_style, bgcolor=color.new(_color, i_sess_bgopacity)) array.push(_boxes, my_box) util.clear_boxes(_boxes, i_history_period) if _is_extend box.set_extend(my_box, extend.right) else if _session box.set_top(my_box, _top) box.set_bottom(my_box, _bottom) f_set_box_right(my_box, _x2) else if _is_ended box.set_right(my_box, bar_index) my_box // ------------------------ // Drawing market // ------------------------ f_render_main (_show, _session, _is_started, _is_ended, _color, _top, _bottom) => var box my_box = na var label my_note = na var x1 = 0 var x2 = 0 var session_open = 0.0 var session_high = 0.0 var session_low = 0.0 x0_1 = ta.valuewhen(na(_session ) and _session, bar_index, 1) x0_2 = ta.valuewhen(na(_session) and _session , bar_index, 0) x0_d = math.abs(x0_2 - x0_1) limit_bars = max_bars rightbars = x0_d if _show if _is_started x1 := bar_index x2 := bar_index + (math.min(x0_d, limit_bars)) session_open := open session_high := _top session_low := _bottom else if _session true_x2 = x1 + x0_d rightbars := true_x2 - bar_index limit_bars := bar_index + max_bars x2 := math.min(true_x2, limit_bars) session_high := _top session_low := _bottom else if _is_ended session_open := na // ------------------------ // Drawing // ------------------------ draw (_show, _session, _color, _label, _extend, _show_fib, _show_op, _lookback, _boxes_session, _lines_session, _boxes_candle_body, _lines_candle_wick, _boxes_op, _lines_fib, _labels) => max = f_get_period(_session, 1, _lookback) top = ta.highest(high, max) bottom = ta.lowest(low, max) is_started = f_get_started(_session) is_ended = f_get_ended(_session) is_extend = _extend != option_no = f_render_main(_show, _session, is_started, is_ended, _color, top, bottom) if i_sess_box_style == 'Box' f_render_session(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _boxes_session) if i_sess_box_style == 'Sandwich' f_render_sessionrange(_show, _session, is_started, is_ended, _color, top, bottom, x1, x2, is_extend, _lines_session) if i_show_candle f_render_candle(_show, _session, is_started, is_ended, _color, top, bottom, _open, x1, x2, _boxes_candle_body, _lines_candle_wick) if i_label_show f_render_label(_show, _session, is_started, _color, top, bottom, _label, _labels) if _show_op f_render_oprange(_show, _session, is_started, x1, x2, _color, max, is_extend, _boxes_op) if _show_fib f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.500, 2, line.style_solid, is_extend, _lines_fib) f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.628, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib) f_render_fibonacci(_show, _session, is_started, x1, x2, _color, top, bottom, 0.382, i_f_linewidth, i_f_linestyle, is_extend, _lines_fib) util.clear_lines(_lines_fib, i_history_period * 3) f_render_limitmessage(_show, _session, is_started, is_ended, x1, bottom, _rightbars) /////////////////// // Calculating /////////////////// string tz = (i_tz == option_no or i_tz == '') ? na : i_tz int sess1 = time(timeframe.period, i_sess1, tz) int sess2 = time(timeframe.period, i_sess2, tz) int sess3 = time(timeframe.period, i_sess3, tz) int sess4 = time(timeframe.period, i_sess4, tz) /////////////////// // Plotting /////////////////// var sess1_box = array.new() var sess2_box = array.new() var sess3_box = array.new() var sess4_box = array.new() var sess1_line = array.new() var sess2_line = array.new() var sess3_line = array.new() var sess4_line = array.new() var sess1_op = array.new() var sess2_op = array.new() var sess3_op = array.new() var sess4_op = array.new() var sess1_fib = array.new() var sess2_fib = array.new() var sess3_fib = array.new() var sess4_fib = array.new() var sess1_candle_body = array.new() var sess2_candle_body = array.new() var sess3_candle_body = array.new() var sess4_candle_body = array.new() var sess1_candle_wick = array.new() var sess2_candle_wick = array.new() var sess3_candle_wick = array.new() var sess4_candle_wick = array.new() var sess1_labels = array.new() var sess2_labels = array.new() var sess3_labels = array.new() var sess4_labels = array.new() = draw(i_show_sess1, sess1, i_sess1_color, i_sess1_label, i_sess1_extend, i_sess1_fib, i_sess1_op, i_lookback, sess1_box, sess1_line, sess1_candle_body, sess1_candle_wick, sess1_op, sess1_fib, sess1_labels) = draw(i_show_sess2, sess2, i_sess2_color, i_sess2_label, i_sess2_extend, i_sess2_fib, i_sess2_op, i_lookback, sess2_box, sess2_line, sess2_candle_body, sess2_candle_wick, sess2_op, sess2_fib, sess2_labels) = draw(i_show_sess3, sess3, i_sess3_color, i_sess3_label, i_sess3_extend, i_sess3_fib, i_sess3_op, i_lookback, sess3_box, sess3_line, sess3_candle_body, sess3_candle_wick, sess3_op, sess3_fib, sess3_labels) = draw(i_show_sess4, sess4, i_sess4_color, i_sess4_label, i_sess4_extend, i_sess4_fib, i_sess4_op, i_lookback, sess4_box, sess4_line, sess4_candle_body, sess4_candle_wick, sess4_op, sess4_fib, sess4_labels) is_positive_bar = close > open color c_barcolor = na color c_plotcandle = na c_sess1_barcolor = (is_sess1) ? (is_positive_bar ? i_sess1_barcolor1 : i_sess1_barcolor2) : na c_sess2_barcolor = (is_sess2) ? (is_positive_bar ? i_sess2_barcolor1 : i_sess2_barcolor2) : na c_sess3_barcolor = (is_sess3) ? (is_positive_bar ? i_sess3_barcolor1 : i_sess3_barcolor2) : na c_sess4_barcolor = (is_sess4) ? (is_positive_bar ? i_sess4_barcolor1 : i_sess4_barcolor2) : na if (i_sess1_chart != option_chart_x) and is_sess1 c_barcolor := i_sess1_barcolor ? c_sess1_barcolor : na c_plotcandle := i_sess1_plotcandle ? c_sess1_barcolor : na if (i_sess2_chart != option_chart_x) and is_sess2 c_barcolor := i_sess2_barcolor ? c_sess2_barcolor : na c_plotcandle := i_sess2_plotcandle ? c_sess2_barcolor : na if (i_sess3_chart != option_chart_x) and is_sess3 c_barcolor := i_sess3_barcolor ? c_sess3_barcolor : na c_plotcandle := i_sess3_plotcandle ? c_sess3_barcolor : na if (i_sess4_chart != option_chart_x) and is_sess4 c_barcolor := i_sess4_barcolor ? c_sess4_barcolor : na c_plotcandle := i_sess4_plotcandle ? c_sess4_barcolor : na barcolor(c_barcolor) plotcandle(open, high, low, close, color=is_positive_bar ? color_none : c_plotcandle, bordercolor=c_plotcandle, wickcolor=c_plotcandle) //////////////////// // Alerts //////////////////// // Session alerts sess1_started = is_sess1 and not is_sess1 , sess1_ended = not is_sess1 and is_sess1 sess2_started = is_sess2 and not is_sess2 , sess2_ended = not is_sess2 and is_sess2 sess3_started = is_sess3 and not is_sess3 , sess3_ended = not is_sess3 and is_sess3 sess4_started = is_sess4 and not is_sess4 , sess4_ended = not is_sess4 and is_sess4 alertcondition(sess1_started, 'Session #1 started') alertcondition(sess1_ended, 'Session #1 ended') alertcondition(sess2_started, 'Session #2 started') alertcondition(sess2_ended, 'Session #2 ended') alertcondition(sess3_started, 'Session #3 started') alertcondition(sess3_ended, 'Session #3 ended') alertcondition(sess4_started, 'Session #4 started') alertcondition(sess4_ended, 'Session #4 ended') alertcondition((not is_sess1) and ta.crossover(close, sess1_high), 'Session #1 High crossed (after session closed)') alertcondition((not is_sess1) and ta.crossunder(close, sess1_low), 'Session #1 Low crossed (after session closed)') alertcondition((not is_sess2) and ta.crossover(close, sess2_high), 'Session #2 High crossed (after session closed)') alertcondition((not is_sess2) and ta.crossunder(close, sess2_low), 'Session #2 Low crossed (after session closed)') alertcondition((not is_sess3) and ta.crossover(close, sess3_high), 'Session #3 High crossed (after session closed)') alertcondition((not is_sess3) and ta.crossunder(close, sess3_low), 'Session #3 Low crossed (after session closed)') alertcondition((not is_sess4) and ta.crossover(close, sess4_high), 'Session #4 High crossed (after session closed)') alertcondition((not is_sess4) and ta.crossunder(close, sess4_low), 'Session #4 Low crossed (after session closed)') // Alerts visualized if i_alert1_show if i_show_sess1 if sess1_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess1_ended label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess1_color, textcolor=color_text, size=size.small, style=label.style_label_down) if i_show_sess2 if sess2_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess2_ended label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess2_color, textcolor=color_text, size=size.small, style=label.style_label_down) if i_show_sess3 if sess3_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess3_ended label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess3_color, textcolor=color_text, size=size.small, style=label.style_label_down) if i_show_sess4 if sess4_started label.new(bar_index, close, 'Start', yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down) if sess4_ended label.new(bar_index, close, 'End' , yloc=yloc.abovebar, color=i_sess4_color, textcolor=color_text, size=size.small, style=label.style_label_down) plot(i_alert3_show ? sess1_high : na, 'sess1_high', style=plot.style_linebr, color=i_sess1_color) plot(i_alert3_show ? sess1_low : na, 'sess1_low' , style=plot.style_linebr, color=i_sess1_color, linewidth=2) plot(i_alert3_show ? sess2_high : na, 'sess2_high', style=plot.style_linebr, color=i_sess2_color) plot(i_alert3_show ? sess2_low : na, 'sess2_low' , style=plot.style_linebr, color=i_sess2_color, linewidth=2) plot(i_alert3_show ? sess3_high : na, 'sess3_high', style=plot.style_linebr, color=i_sess3_color) plot(i_alert3_show ? sess3_low : na, 'sess3_low' , style=plot.style_linebr, color=i_sess3_color, linewidth=2) plot(i_alert3_show ? sess4_high : na, 'sess4_high', style=plot.style_linebr, color=i_sess4_color) plot(i_alert3_show ? sess4_low : na, 'sess4_low' , style=plot.style_linebr, color=i_sess4_color, linewidth=2) plotshape(i_alert3_show and (not is_sess1) and ta.crossover(close, sess1_high) ? sess1_high : na, 'cross sess1_high', color=i_sess1_color, style=shape.triangleup, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess1) and ta.crossunder(close, sess1_low) ? sess1_low : na, 'cross sess1_low', color=i_sess1_color, style=shape.triangledown, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess2) and ta.crossover(close, sess2_high) ? sess2_high : na, 'cross sess2_high', color=i_sess2_color, style=shape.triangleup, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess2) and ta.crossunder(close, sess2_low) ? sess2_low : na, 'cross sess2_low', color=i_sess2_color, style=shape.triangledown, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess3) and ta.crossover(close, sess3_high) ? sess3_high : na, 'cross sess3_high', color=i_sess3_color, style=shape.triangleup, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess3) and ta.crossunder(close, sess3_low) ? sess3_low : na, 'cross sess3_low', color=i_sess3_color, style=shape.triangledown, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess4) and ta.crossover(close, sess4_high) ? sess4_high : na, 'cross sess4_high', color=i_sess4_color, style=shape.triangleup, location=location.absolute, size=size.tiny) plotshape(i_alert3_show and (not is_sess4) and ta.crossunder(close, sess4_low) ? sess4_low : na, 'cross sess4_low', color=i_sess4_color, style=shape.triangledown, location=location.absolute, size=size.tiny)
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