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Weeknights Donchian CloudDonchian Channel Trading system visualised as a cloud. Regular/Quick inputs; Length: 20 Entry Length: 20 Stop Length: 10 Alternate/Slower Inputs; Length: 55 Entry Length: 55 Stop Length: 20 For a more in-depth review, look up "Turtle Trading" rules The simplest way to use the cloud; -When the cloud flips from above to below (support), close any shorts and open a long -When the cloud flips from below to above (resistance), close any longs and open a short -Cloud is flipped based on a breakout on the high / low -Most effectively used on the daily, but can be used on any time frame -For traditional markets, an input of 20 is most commonly used -For 24/7 markets, an input of 28 is most commonly used -Find an input that makes the most sense to you! I appreciate any feedback, feel free to message me on twitter / comment! Twitter ; @ImWeeknight Credit to user KivancOzbilgic for helping with the script
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w33kn1ght tarafından
Trend QualityThe quality of the current trend is calculated by adding or subtracting one point to the total value depending on the following criteras: 1. EMA-8, MA-20, MA-50, MA-100, MA-200 , each get a point if they are increasing. 2. EMA-8 > MA-20 > MA-20 > MA-50 > MA-100 > MA-200 , each condition that is true gets one point. On top of the Trend Quality value we apply a "weekly" (5 periods) and a "monthly" (22 periods) moving average. When above a value of 5, a strong trend is indicated and hence a trend following strategy should be used. Use this to Buy when bouncing back from e.g MA-20 or a confirming consolidation/candlestick/trendline pattern. When the trend decreases below Zero a trend shift may have occured. Idea, curtesy: Tobbe Rosèn
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kruskakli tarafından
16
Simple Moving Average Double HelixThis one is a mix of colour-coded moving averages and Ichimoku. It features two pairs of SMAs--default values of 9/20 and 50/200. Each SMA will be green when it rises and red when it falls. The spaces between each pair will fill with green or red depending on which line is on top. 9 over 20 or 50 over 200 makes a green cloud; if 9 or 50 falls below, the cloud will switch to green. There's also the Ichimoku lagging span and a 35-period SMA (grey) that can be used as a trailing stop loss guideline. Ideal long setup: 9, 20, 50, and 200 SMA are all green both clouds are green lagging span is above historic price action Ideal short setup: 9, 20, 50, and 200 SMA are all red both clouds are red lagging span is below historic price action
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stvch tarafından
TA Basics: further "Steps" with our Moving AverageSo far in this series of posts, we have worked thru creating a basic zero-lag moving average, then moved forward all the way to coding a "Fibonacci" Weighted Moving Average. in this post we take a look at a technique that can help traders minimize noise in the underlying data and get better insight on the changes that are happening in the data series represented by the moving average. we'll look at adding "stepping" to our Fibonacci Moving Average as an example. we introduce the Stepping Fibonacci Moving Average , or Step_FiMA note that you can use the same technique with any plot you may have. feel free to copy or leverage the relevant parts of the script - the script is commented to make this easier. How is this useful? ================== with "stepping", you get your indicator to "round" the outcome into pre-specified bands or ranges. this works very similar to how, for example, range or Renko charts work. you can easily see the difference in the chart above once we look at a non-stepped and a stepping moving average of the same length side-by-side the more granular your timeframe is, you will see the effect of the stepping clearer - here's how the same chart looks when we go into the 1-hr aggregation Notes about this script ==================== there are couple of pieces i wanted to highlight in the script if you plan to use some of it : 1 - the step(x) function is meant to try to automatically pick the best "suitable" step size based on the range of the underlying series (for example, the closing price). these ranges i included here in the code are just my own "best choices" - you are totally welcome to adjust these ranges and the resulting step size to your own preference 2 - we applied the stepping as a user-choice. user can choose a manual entry, or "0" to get the code to automatically pick the step size, or enter -1 (or actually any value below zero) to cancel the stepping option altogether - this gives us some flexibility on how to use the stepping in an indicator 3 - very important (and somehow confusing): on the "rounding" approach: the magic math formula that actually creates the stepping is this one result = round(input / step) * step now, this tells the script to "round" the result up or down (the basic rounding) -- so for example, a price of 17 with a step of 5 would be rounded (down) to 15, where as a price of 18 would be rounded "up" to 20 -- this is not the way some of us would expect or want, cause the price never reached 20 and they would want an 18 to still be rounded to 15 - and the stepping line not to show 20 *until* the price actually hits or exceeds 20 -- in that case, you would need to replace the function "round" with the function "floor" -- so the new formula becomes: floor(input / step) * step -- in an ideal world, we can make this rounding choice a user-option in the settings -- maybe in an improved version 4 - we kept the smoothing option, and it takes place before the stepping is applied - we continue to use that smoothing to further minimize the level changes in the FiMA line. I hope you find this script useful in your journey with technical analysis and DIY scripting, and good luck in your trading.
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RedKTrader tarafından
BTC and ETH Long strategy - version 1I will start with a small introduction about myself. I'm now trading cryto currencies manually for almost 2 years. I decided to start after watching a documentary on the TV showing people who made big money during the Bitcoin pump which happened at the end of 2017. The next day, I asked myself "Why should I not give it a try and learn how to trade". This was in February 2018 and the price of Bitcoin was around 11500USD. I didn't know how to trade. In fact, I didn't know the trading industry at all. So, my first step into trading was to open an account with a broken. Then I directly bought 200$ worst of BTC . At that time, I saw the graph and thought "This can only go back in the upward direction!" :) I didn't know anything about Stop loss, Take profit and Risk management. Today, almost 2 years after, I think that I know how to trade and can also confirm that I still hold this bag of 200$ of bitcoin from 2018 :) I did spend the 2 last years to learn technical analysis , risk management and leverage trading. Today (14/05/2020), I know what I'm doing and I'm happy to see that the 2 last years have been positive in terms of gains. Of course, I did not make crazy money with my saving but at least I made more than if I would have kept it in my bank account. Even if I like trading, I have a full time job which requires my full energy and lots of focus, so, the biggest problem I had is that I didn't have enough time to look at the charts. Also, I realized that sometimes, neither technical analysis , nor fundamentals worked with crypto currency (at least for short time trading). So, as I have a developer background I decided to try to have a look at algo trading. The goal for me was neither to make complex algos nor to beat the market but just to automate my trading with simple bot catching the big waves. I then started to take a look at TV pine script and played with it. I did my first LONG script in February 2020 to Long the BTC Market. It has some limitations but works well enough for me for the time being. Even if the real trades will bring me half of what the back testing shows, this will still be a lot more than what I was used to win during the last 2 years with my manual trading. So, here we are! Below you will find some details about my first LONG script. I'm happy to share it with you. Feel free to play with it, give your comments and bring improvements to it. But please note that it only works fine with the candle size and crypto pair that I have mentioned below. If you use other settings this algo might loose money! - Crypto pairs : XBTUSD and ETHXBT - Candle size: 2 Hours - Indicator used: Volatility , MACD (12, 26, 7), SMA (100), SMA (200), EMA (20) - Default StopLoss: -1.5% - Entry in position if: Volatility < 2% AND MACD moving up AND AME (20) moving up AND SMA (100) moving up AND SMA (200) moving up AND EMA (20) > SAM (100) AND SMA (100) > SMA (200) - Exit the postion if: Stoploss is reached OR EMA (20) crossUnder SMA (100) Here is a summary of the results for this script: XBTUSD : 01/01/2019 --> 14/05/2020 = +107% ETHXBT : 01/01/2019 --> 14/05/2020 = +39% ETHUSD : 01/01/2019 --> 14/05/2020 = +112% It is far away from being perfect. There are still plenty of things which can be done to improve it but I just wanted to share it :) . Enjoy playing with it....
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philipina tarafından
10
BO - Bar M15 2/3 SignalBO - Bar M15 2/3 Signal show the signal to trade Binary Option with rule below: A. Indicator * Bollinger Band (20,2): avoid waterfall B. Rule of Signal 1. Rule1: Split Bar M15 to 3 part and load them on M5 chart (recommend use M5 IDC chart) 2. Rule 2: Delay 10' after bar M15 open => wait for price's pattern 3. Rule 3: Put Signal row 30-32 * Delay 10' after bar M15 open. * Direction of 1/3 and 2/3 Bar M15 is upward * close of 2/3 Bar M15 below upper band Bb(20,2) on M5 chart => avoid strong buy 4. Rule 4: Call Signal row 36-38 * Delay 10' after bar M15 open. * Direction of 1/3 and 2/3 Bar M15 is downward * close of 2/3 Bar M15 above lower band Bb(20,2) on M5 chart => avoid strong sell C. Recommend Expiry time: Bar M15 close * We try to catch the shadow of Bar M15 but dont trade when price run on the upper or lower band of BB(20,2,M5)
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inno14 tarafından
Average Candle Length 2.0This script will tell you the following: • Average length of all the candles (wick to wick) for the last 20 candles -- shown in blue • Average length of bull (green) candles (wick to wick) for the last 20 candles -- shown in green • Average length of bear (red) candles (wick to wick) for the last 20 candles -- shown in red ___________________________________________ Inputs: • # of Candles to analyze (default = 20)
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rmunoz tarafından
6
Pivot trend indicatorThis is a LAGGING indicator which can provide a good indication of trend. It require a certain (configurable) number of candles to have closed before it can determine whether a pivot has formed. It provides a 20 period SMA for the timeframe of your choice which is color coded to show the trend according to confirmed pivots. Anticipated usage: Long / Short bias is determined by pivot trend Trader seeks entries according to their strategy Black consolidation areas may trigger a re-evaluation of the trade and can serve as good profit taking areas The SMA colors: Green -> Higher highs & Higher lows Red -> Lower highs & Lowers lows Black -> No clear trend from the pivots Why the 20 SMA? Feel free to adjust it for your purposes. I personally find that using a higher time frame 20 SMA is a better indication of trend than longer period MAs on shorter time frames. This can be seen from comparing the 20 daily SMA and 200 hourly SMA. Pivot adjustment The pivots use the selected time frame (not) the MA trend time frame. You can specify the left and right candles required to confirm a pivot
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mgibson91 tarafından
VIX reversion-Buschi English: A significant intraday reversion (commonly used: 3 points) on a high (over 20 points) S&P 500 Volatility Index (VIX) can be a sign of a market bottom, because there is the assumption that some of the "big guys" liquidated their options / insurances because the worst is over. This indicator shows these reversions (3 points as default) when the VIX was over 20 points. The character "R" is then shown directly over the daily column, the VIX need not to be loaded explicitly. Deutsch: Eine deutliche Intraday-Umkehr (3 Punkte im Normalfall) bei einem hohen (über 20 Punkte) S&P 500 Volatility Index (VIX) kann ein Zeichen für eine Bodenbildung im Markt sein, weil möglicherweise einige "große Jungs" ihre Optionen / Versicherungen auflösen, weil das schlimmste vorbei ist. Dieser Indikator zeigt diese Umkehr (Standardwert: 3 Punkte), wenn der VIX vorher über 20 Punkte lag. Der Buchstabe "R" wird dabei direkt über dem Tagesbalken angezeigt, wobei der VIX nicht explizit geladen werden muss.
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MagicEins tarafından
2
Triple Moving Average HeatmapHi everyone I didn't publish on Friday because I was working on an Expert Advisor in MT4. The day I don't publish, some scripts spamming guys published many (not useful) scripts the same to kick me out of the TOP #1 ranking. So what I'm going to do about it? crying or sharing more quality scripts than before? :) I guess you know the answer :) I'm gonna share a few quality scripts that I have in my library. I noticed that you guys tend to like more the scripts useful for your trading actually making you money rather than a copy-paste (of another copy-paste) Alright, enough for the trolling now let's introduce the Three MA heatmap which is an upgrade of that script : MA-heatmap-Double-cross-edition/ The challenge was to keep the heatmap not rolling and to make it match with the MA cross. I did it using this ``` since_ma_buy = barssince(macrossover) since_ma_sell = barssince(macrossunder) heatmap_color() => since_ma_buy < since_ma_sell ? color.new(color.green, 20) : since_ma_buy > since_ma_sell ? color.new(color.red, 20) : na ``` This is a technique that I found after drinking three glasses of red wine (#french) to keep the heatmap stable and not rolling. To get what I'm saying I invite you to replace the piece of code above by what everyone would normally do ``` heatmap_color() => macrossunder() ? color.new(color.green, 20) : macrossover() ? color.new(color.red, 20) : na ``` Ah and I'm not done sharing for the day, a few scripts are coming also after that one and tonight !!!!! I want to live in a world where you guys can enjoy quality scripts (mostly) :) PS ____________________________________________________________ Feel free to hit the thumbs up as it shows me that I'm not doing this for nothing and will motivate to deliver more quality content in the future. - I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies Jump on a 1 to 1 coaching with me - You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
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Daveatt tarafından
6
Palex 2.0Atualização do SETUP do saudoso Professor Alexandre Fernandes "Palex" - Bandas de Bolliger (Standard) = *Banda Superior = Média Móvel Simples (20 dias) + (2 x Desvio Padrão de 20 dias) *Banda Inferior = Média Móvel Simples (20 dias) – (2 x Desvio Padrão de 20 dias) - EMA 9 (Média Móvel Exponencial) - SMA 21 (Média Móvel Simples) - SMA 200 (Média Móvel Simples) Clássica MA 200 períodos - SMA 400 (Média Móvel Simples) - EMA 400 (Média Móvel Exponencial) - WILD (Média Móvel Welles Wilder) O mesmo usado pelo nosso grande Mestre PALEX!
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ferGOD tarafından
1
The 6 Line Death PunchIf you are looking to discover what trend you are in, you need to first what direction the price is going in... I've been using and testing a mixture of EMA's and SMA's for a long time and I've found that these ones are by far the best. EMA 3 EMA 8 MA 20 EMA 55 MA 100 MA 200 EMA 3 & 8 Crossover is a good method for confirming a coin going to the upside or to the downside. EMA 8 is known as the Trigger Line (trademarked brand) as one of the fib numbers it shows good support or resistance of a trend. MA 20 universal way of seeing trend direction in the stock market, works well with crypto too. EMA 55, another trusty fib number. Works very well and could trade off that alone as support and resistance. MA 100 and MA 200. Long ranged moving averages which govern the overall longer-term trend. LONG ENTRY Option 1 - 3/8 crossover Option 2 - Candles above EMA 8 Option 3 - Candles above MA 20 Option 4 - Candles Above EMA 55. SHORT ENTRY Option 1 - 3/8 crossover Option 2 - Candles below EMA 8 Option 3 - Candles below MA 20 Option 4 - Candles below EMA 55.
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CryptoMobster tarafından
3
Signals for call and putSorry for the Google Translate English Indicator for signals of call and put, using Bollinger bands (period 20, standard deviation 2.5), market trend of (sma, períod 100) and stochastic (period 20, %D 3). I was overthrown but in pine scrip, the function "stoch()" no way to smooth (3). If anyone knows how to smooth inside the script, help me! Please. With smoothed stochastic the hit rate grows a lot. Português (Pt-Br) Indicador de sinais de compra e venda, usando bandas de Bollinger (período de 20, desvio de 2,5), tendencia de mercado com (sma período 100) e estocástico (período 20, %D de 3). Eu travei porque no pine script, a função "stoch()" não tem como aplicar a suavização (3). Se alguem souber como suavizar dentro do script, me ajude! Por favor.
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borest5543 tarafından
1
MG - Multiple Moving Averages & Candle Wick Alerts - 1.0Features: - Each moving average has customizable length, type and source - The ability to change the source of all moving averages with one input (changing an individual MA source will override the general for that MA) - At a glance comparison of 20 SMA and 20 VWMA to gauge volume trend - Wick alerts which can be toggled for each moving average. - Bullish wick alerts are when the wick is the only part of the candle to drop below the moving average - Bearish wick alerts are when the wick is the only part of the candle to reach above the moving average - Simple candle closed alert if you want a notification, for example each hour. Defaults: Four SMAs (20, 50, 100, 200) and a 20 VWMA . Recommended Usage: - Set the general source (sets the source of all moving averages) to 'low' when in an uptrend and 'high' in a downtrend to maximize Risk : Reward. - Use Fibonacci levels, oscillators .etc for confluence NOTE: The moving average component of this indicator is the same as the previous indicator ()
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mgibson91 tarafından
2
Indicator - Multiple Moving Averages 1.0Features: - Each moving average has customizable length, type and source - The ability to change the source of all moving averages with one input (changing an individual MA source will override the general for that MA) - At a glance comparison of 20 SMA and 20 VWMA to gauge volume trend Defaults: Four SMAs (20, 50, 100, 200) and a 20 VWMA. Usage: - Use Fibonacci levels, pivots .etc for confluence - Personally, I like to set overall source to low in uptrends, to high in downtrends and then set alerts for when the price crosses any of the averages. Then pay particular attention to the candlesticks and other indicators. TODO: - Add alerts option so that it send alert on crossing up or down any alert lines.
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mgibson91 tarafından
XPloRR MA-Trailing-Stop StrategyXPloRR MA-Trailing-Stop Strategy Long term MA-Trailing-Stop strategy with Adjustable Signal Strength 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 fast buy EMA (blue) crossing over the slow buy SMA curve (orange) and the fast buy EMA has a certain up strength. My sell strategy is triggered by either one of these conditions: the EMA(6) of the close value is crossing under the trailing stop value (green) or the fast sell EMA (navy) is crossing under the slow sell SMA curve (red) and the fast sell EMA has a certain down strength. 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 the high and low values. The scripts shows a lot of graphical information: The close value is shown in light-green. When the close value is lower then the buy value, the close value is shown in light-red. This way it is possible to evaluate the virtual losses during the trade. the trailing stop value is shown in dark-green. When the sell value is lower then the buy value, the last color of the trade will be red (best viewed when zoomed)(in the example, there are 2 trades that end in gain and 2 in loss (red line at end)) the EMA and SMA values for both buy and sell signals are shown as a line the buy and sell(close) signals are labeled in blue How to use this strategy? Every stock has it's own "DNA", so first thing to do is tune the right parameters to get the best strategy values voor EMA , SMA, Strength for both buy and sell and the Trailing Stop (#ATR). Look in the strategy tester overview to optimize the values Percent Profitable and Net Profit (using the strategy settings icon, you can increase/decrease the parameters) Then keep using these parameters for future buy/sell signals only for that particular stock. Do the same for other stocks. Important : optimizing these parameters is no guarantee for future winning trades! Here are the parameters: Fast EMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 10-20) Slow SMA Buy: buy trigger when Fast EMA Buy crosses over the Slow SMA Buy value (use values between 30-100) Minimum Buy Strength: minimum upward trend value of the Fast SMA Buy value (directional coefficient)(use values between 0-120) Fast EMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 10-20) Slow SMA Sell: sell trigger when Fast EMA Sell crosses under the Slow SMA Sell value (use values between 30-100) Minimum Sell Strength: minimum downward trend value of the Fast SMA Sell value (directional coefficient)(use values between 0-120) Trailing Stop (#ATR): the trailing stop value as a multiple of the ATR(15) value (use values between 2-20) Example parameters for different stocks (Start capital: 1000, Order=100% of equity, Period 1/1/2005 to now) compared to the Buy&Hold Strategy(=do nothing): BEKB(Bekaert): EMA-Buy=12, SMA-Buy=44, Strength-Buy=65, EMA-Sell=12, SMA-Sell=55, Strength-Sell=120, Stop#ATR=20 NetProfit: 996%, #Trades: 6, %Profitable: 83%, Buy&HoldProfit: 78% BAR(Barco): EMA-Buy=16, SMA-Buy=80, Strength-Buy=44, EMA-Sell=12, SMA-Sell=45, Strength-Sell=82, Stop#ATR=9 NetProfit: 385%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 55% AAPL(Apple): EMA-Buy=12, SMA-Buy=45, Strength-Buy=40, EMA-Sell=19, SMA-Sell=45, Strength-Sell=106, Stop#ATR=8 NetProfit: 6900%, #Trades: 7, %Profitable: 71%, Buy&HoldProfit: 2938% TNET(Telenet): EMA-Buy=12, SMA-Buy=45, Strength-Buy=27, EMA-Sell=19, SMA-Sell=45, Strength-Sell=70, Stop#ATR=14 NetProfit: 129%, #Trade
Pine Script® stratejisi
XPl0RR tarafından
8
London Breakout PRO – By Maa Sharda Trading📈 London Breakout PRO (MAA SHARDA TRADING) – Indicator Description for TradingView Introducing: London Breakout PRO – The Advanced Breakout Tool for Gold & Forex! Unlock the real power of London session trading with this next-generation indicator. Specially designed for serious traders, this tool combines classic London Breakout logic with EMA Trend Confirmation and an optional Volume Filter to eliminate fake breakouts and boost your accuracy. How It Works: Session Box: Automatically marks the first session candle (default: 1H for London Open). Breakout Signal: Gives only one clean BUY/SELL signal each day – only when the candle breaks out above/below the session box. Trend Filter: Signals fire only when price is above (BUY) or below (SELL) the EMA 20, ensuring you always trade with the trend. Volume Confirmation: (Optional) Signals only if breakout happens with volume higher than the last 10 candles’ average, so you avoid low-liquidity fakeouts. Ultra-Clean Chart: No repainting, no clutter, just pure breakout action. Key Features: ✅ Works on any timeframe (M15, M30, H1 best for Gold/XAUUSD & FX) ✅ Fully customizable session start time and box duration ✅ One breakout signal per day – no overtrading, no noise ✅ Trend & volume filters for high-probability setups ✅ Easy visual backtesting – perfect for serious traders and strategy builders Recommended Settings for GOLD (XAUUSD): Timeframe: 1 Hour (H1) – best accuracy & lowest noise Session Start (IST): 11:30 AM (London Open) Box Length: 1 Candle (1 Hour) EMA Length: 20 Volume Filter: On (for strong confirmations) How To Use: Wait for London session box to form at your set time. Trade only when price closes above (BUY) or below (SELL) the box and EMA 20 & volume filters are satisfied. Place SL at the opposite side of the box. Target 1:1 or let profits run with trailing stop. Avoid trading during high-impact news events for even better results. Pro Tip: Backtest on H1 and combine with major support/resistance for the highest win-rate. Use with proper risk management for best results! Disclaimer: Trading involves risk. This indicator is for educational purposes only. Test thoroughly before live trading. #LondonBreakout #XAUUSD #BreakoutStrategy #EMAConfirmation #VolumeFilter #TradingView #ForexIndicator #IntradayTrading
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MaaShardaTrading tarafından
Ease of Movement Z-Score Trend | DextraGeneral Description: The "Ease of Movement Z-Score Trend | Dextra" (EOM-Z Trend) is an innovative technical analysis tool that combines the Ease of Movement (EOM) concept with Z-Score to measure how easily price moves relative to volume, while identifying market trends with intuitive visualization. This indicator is designed to help traders detect uptrend and downtrend phases with precision, enhanced by candle coloring for direct trend representation on the chart. Key Features Ease of Movement (EOM): Measures how easily price moves based on the change in the midpoint price and volume, normalized with Z-Score for statistical analysis. Z-Score Normalization: Provides an indication of deviations from the mean, enabling the identification of overbought or oversold conditions. Adjustable Thresholds: Users can customize upper and lower thresholds to define trend boundaries. Candle Coloring: Visual trend representation with green (uptrend), red (downtrend), and gray (neutral) candles. Flexibility: Adjustable for different timeframes and assets. How It Works The indicator operates through the following steps: EOM Calculation: hl2 = (high + low) / 2: Calculates the average midpoint price per bar. eom = ta.sma(10000 * ta.change(hl2) * (high - low) / volume, length): EOM is computed as the smoothed average of the price midpoint change multiplied by the price range per unit volume, scaled by 10,000, over length bars (default 20). Z-Score Calculation: mean_eom = ta.sma(eom, z_length): Average EOM over z_length bars (default 93). std_dev_eom = ta.stdev(eom, z_length): Standard deviation of EOM. z_score = (eom - mean_eom) / std_dev_eom: Z-Score indicating how far EOM deviates from its mean in standard deviation units. Trend Detection: upperthreshold (default 1.03) and lowerthreshold (default -1.63): Thresholds to classify uptrend (if Z-Score > upperthreshold) and downtrend (if Z-Score < lowerthreshold). eom_is_up and eom_is_down: Logical variables for trend status. Visualization: plot(z_score, ...): Z-Score line plotted with green (uptrend), red (downtrend), or gray (neutral) coloring. plotcandle(...): Candles colored green, red, or gray based on trend. hline(...): Dashed lines marking the thresholds. Input Settings EOM Length (default 20): Period for calculating EOM, determining sensitivity to price changes. Z-Score Lookback Period (default 93): Period for calculating the Z-Score mean and standard deviation. Uptrend Threshold (default 1.03): Minimum Z-Score value to classify an uptrend. Downtrend Threshold (default -1.93): Maximum Z-Score value to classify a downtrend. How to Use Installation: Add the indicator via the "Indicators" menu in TradingView and search for "EOM-Z Trend | Dextra". Customization: Adjust EOM Length and Z-Score Lookback Period based on the timeframe (e.g., 20 and 93 for daily timeframes). Set Uptrend Threshold and Downtrend Threshold according to preference or asset characteristics (e.g., lower to 0.8 and -1.5 for volatile markets). Interpretation: Uptrend (Green): Z-Score above upperthreshold, indicating strong upward price movement. Downtrend (Red): Z-Score below lowerthreshold, indicating significant downward movement. Neutral (Gray): Conditions between thresholds, suggesting a sideways market. Use candle coloring as the primary visual guide, combined with the Z-Score line for confirmation. Advantages Intuitive Visualization: Candle coloring simplifies trend identification without deep analysis. Flexibility: Customizable parameters allow adaptation to various markets. Statistical Analysis: Z-Score provides a robust perspective on price deviations from the norm. No Repainting: The indicator uses historical data and does not alter values after a bar closes. Limitations Volume Dependency: Requires accurate volume data; an error occurs if volume is unavailable. Market Context: Effectiveness depends on properly tuned thresholds for specific assets. Lack of Additional Signals: No built-in alerts or supplementary confirmation indicators. Recommendations Ideal Timeframe: Daily (1D) or (2D) for stable trends. Combination: Pair with others indicators for signal validation. Optimization: Test thresholds on historical data of the traded asset for optimal results. Important Notes This indicator relies entirely on internal TradingView data (high, low, close, volume) and does not integrate on-chain data. Ensure your data provider supports volume to avoid errors. This version (1.0) is the initial release, with potential future updates including features like alerts or multi-timeframe analysis.
Pine Script® göstergesi
xdextra tarafından
SMA Crossover Strategy📈 Indicator: SMA Crossover Strategy This strategy uses optimized fast and slow SMA values tailored to popular timeframes for more responsive trend detection. You can let the script auto-select values or manually define your own crossover settings. Clean visual cues and per-candle signal filtering keep your chart sharp and actionable. 🔧 Key Features: - Auto Mode: Smart defaults for each timeframe with trader-tested pairs - Manual Mode: User-defined flexibility when custom values are needed - Signal Clarity: BUY/SELL labels are plotted only once per confirmed candle 🧠 Default Auto Values (Based on Chart Timeframe) - 1-min: Fast = 5, Slow = 20 - 5-min: Fast = 5, Slow = 10 - 15-min: Fast = 5, Slow = 13 - 30-min: Fast = 15, Slow = 30 - 1-hr: Fast = 50, Slow = 200 - 4-hr: Fast = 20, Slow = 50 - Daily: Fast = 50, Slow = 200 - Weekly: Fast = 10, Slow = 30 If your timeframe isn't matched exactly, the script falls back to sensible defaults. 📊 How to Improve Conviction SMA crossovers are strong signals when confirmed by other tools. Here are some add-ons you can layer into your chart: 🔍 Confirmation Indicators - RSI (14): Look for crossovers near RSI crossing 50 or at oversold/overbought zones for momentum confirmation. - MACD: Use histogram alignment with crossover signals to detect real trend shifts. - Volume Filters: Pair signals with rising volume for institutional confirmation. 🌀 Trend & Volatility Filters - ATR (Average True Range): Helps filter signals during consolidation—watch for expanding ATR as a volatility cue. - ADX: Trade only when ADX > 20 to avoid false signals in ranging markets. - HMA (Hull MA): A smoother, faster MA that can act as a trend bias overlay. 🔭 Multi-Timeframe Awareness Overlay higher-timeframe trend indicators (like a daily 200 SMA on an intraday chart) to avoid trading against macro momentum.
Pine Script® göstergesi
peasantzed tarafından
DT-FNO Screener//@version=5 indicator("DT-FNO Screener", overlay=true) // === INPUTS === lengthEMA1 = 20 lengthEMA2 = 50 lengthEMA3 = 200 lengthEMA4 = 10 rsiLength = 14 // === PRICE DATA === closePrice = close highPrev = high lowPrev = low openToday = open closeToday = close // === EMA CALCULATIONS === ema20D = ta.ema(close, 20) ema50D = ta.ema(close, 50) ema200D = ta.ema(close, 200) ema10D = ta.ema(close, 10) ema20W = ta.ema(request.security(syminfo.tickerid, "W", close), 20) ema50W = ta.ema(request.security(syminfo.tickerid, "W", close), 50) // === RSI === rsiVal = ta.rsi(close, rsiLength) // === % CHANGE STATS === percentChange = 100 * (close - close ) / close min7Change = ta.lowest(percentChange, 7) max5Change = ta.highest(percentChange, 5) // === CONDITIONS (from screener) === // Futures Segment cond1 = ema20W < ema50W cond2 = ema20D < ema50D cond3 = ema50D < ema200D cond4 = close > ema20D // Cash Segment cond5 = closeToday < highPrev cond6 = closeToday > lowPrev cond7 = openToday > lowPrev cond8 = openToday < highPrev cond9 = ((ema10D - close) / close) <= 0.02 cond10 = rsiVal <= 60 // % Change Conditions cond11 = min7Change <= -1.5 cond12 = max5Change <= 1.2 // === FINAL COMBINED CONDITION === all_conditions = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 and cond9 and cond10 and cond11 and cond12 // === PLOT SIGNAL === bgcolor(all_conditions ? color.new(color.green, 80) : na) plotshape(all_conditions, title="DT-FNO Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="DT")
Pine Script® göstergesi
yatinmarkets tarafından
Ultra BUY SELL//@version=5 indicator("Ultra BUY SELL", overlay = false) // Inputs src = input(close, "Source", group = "Main settings") p = input.int(180, "Trend period", group = "Main settings", tooltip = "Changes STRONG signals' sensitivity.", minval = 1) atr_p = input.int(155, "ATR Period", group = "Main settings", minval = 1) mult = input.float(2.1, "ATR Multiplier", step = 0.1, group = "Main settings", tooltip = "Changes sensitivity: higher period = higher sensitivty.") mode = input.string("Type A", "Signal mode", options = , group = "Mode") use_ema_smoother = input.string("No", "Smooth source with EMA?", options = , group = "Source") src_ema_period = input(3, "EMA Smoother period", group = "Source") color_bars = input(true, "Color bars?", group = "Addons") signals_view = input.string("All", "Signals to show", options = , group = "Signal's Addon") signals_shape = input.string("Labels", "Signal's shape", options = , group = "Signal's Addon") buy_col = input(color.rgb(0, 255, 8), "Buy colour", group = "Signal's Addon", inline = "BS") sell_col = input(color.rgb(255, 0, 0), "Sell colour", group = "Signal's Addon", inline = "BS") // Calculations src := use_ema_smoother == "Yes" ? ta.ema(src, src_ema_period) : src // Source; h = ta.highest(src, p) // Highest of src p-bars back; l = ta.lowest(src, p) // Lowest of src p-bars back. d = h - l ls = "" // Tracker of last signal m = (h + l) / 2 // Initial trend line; m := bar_index > p ? m : m atr = ta.atr(atr_p) // ATR; epsilon = mult * atr // Epsilon is a mathematical variable used in many different theorems in order to simplify work with mathematical object. Here it used as sensitivity measure. change_up = (mode == "Type B" ? ta.cross(src, m + epsilon) : ta.crossover(src, m + epsilon)) or src > m + epsilon // If price breaks trend line + epsilon (so called higher band), then it is time to update the value of a trend line; change_down = (mode == "Type B" ? ta.cross(src, m - epsilon) : ta.crossunder(src, m - epsilon)) or src < m - epsilon // If price breaks trend line - epsilon (so called higher band), then it is time to update the value of a trend line. sb = open < l + d / 8 and open >= l ss = open > h - d / 8 and open <= h strong_buy = sb or sb or sb or sb or sb strong_sell = ss or ss or ss or ss or ss m := (change_up or change_down) and m != m ? m : change_up ? m + epsilon : change_down ? m - epsilon : nz(m , m) // Updating the trend line. ls := change_up ? "B" : change_down ? "S" : ls // Last signal. Helps avoid multiple labels in a row with the same signal; colour = ls == "B" ? buy_col : sell_col // Colour of the trend line. buy_shape = signals_shape == "Labels" ? shape.labelup : shape.triangleup sell_shape = signals_shape == "Labels" ? shape.labeldown : shape.triangledown // Plottings // Signals with label shape plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Buy/Sell") and change_up and ls != "B" and not strong_buy, "Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.normal, text = "BUY", textcolor = color.white, force_overlay=true) // Plotting the BUY signal; plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Buy/Sell") and change_down and ls != "S" and not strong_sell, "Sell signal" , color = colour, style = sell_shape, size = size.normal, text = "SELL", textcolor = color.white, force_overlay=true) // Plotting the SELL signal. plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Strong") and change_up and ls != "B" and strong_buy, "Strong Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.normal, text = "STRONG", textcolor = color.white, force_overlay=true) // Plotting the STRONG BUY signal; plotshape(signals_shape == "Labels" and (signals_view == "All" or signals_view == "Strong") and change_down and ls != "S" and strong_sell, "Strong Sell signal" , color = colour, style = sell_shape, size = size.normal, text = "STRONG", textcolor = color.white, force_overlay=true) // Plotting the STRONG SELL signal. // Signal with arrow shape plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Buy/Sell") and change_up and ls != "B" and not strong_buy, "Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.tiny, force_overlay=true) // Plotting the BUY signal; plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Buy/Sell") and change_down and ls != "S" and not strong_sell, "Sell signal" , color = colour, style = sell_shape, size = size.tiny, force_overlay=true) // Plotting the SELL signal. plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Strong") and change_up and ls != "B" and strong_buy, "Strong Buy signal" , color = colour, style = buy_shape , location = location.belowbar, size = size.tiny, force_overlay=true) // Plotting the STRONG BUY signal; plotshape(signals_shape == "Arrows" and (signals_view == "All" or signals_view == "Strong") and change_down and ls != "S" and strong_sell, "Strong Sell signal" , color = colour, style = sell_shape, size = size.tiny, force_overlay=true) // Plotting the STRONG SELL signal. barcolor(color_bars ? colour : na) // Bar coloring // Alerts matype = input.string(title='MA Type', defval='EMA', options= ) ma_len1 = input(title='Short EMA1 Length', defval=5) ma_len2 = input(title='Long EMA1 Length', defval=7) ma_len3 = input(title='Short EMA2 Length', defval=5) ma_len4 = input(title='Long EMA2 Length', defval=34) ma_len5 = input(title='Short EMA3 Length', defval=98) ma_len6 = input(title='Long EMA3 Length', defval=45) ma_len7 = input(title='Short EMA4 Length', defval=7) ma_len8 = input(title='Long EMA4 Length', defval=11) ma_len9 = input(title='Short EMA5 Length', defval=11) ma_len10 = input(title='Long EMA5 Length', defval=15) ma_offset = input(title='Offset', defval=0) //res = input(title="Resolution", type=resolution, defval="240") f_ma(malen) => float result = 0 if matype == 'EMA' result := ta.ema(src, malen) result if matype == 'SMA' result := ta.sma(src, malen) result result htf_ma1 = f_ma(ma_len1) htf_ma2 = f_ma(ma_len2) htf_ma3 = f_ma(ma_len3) htf_ma4 = f_ma(ma_len4) htf_ma5 = f_ma(ma_len5) htf_ma6 = f_ma(ma_len6) htf_ma7 = f_ma(ma_len7) htf_ma8 = f_ma(ma_len8) htf_ma9 = f_ma(ma_len9) htf_ma10 = f_ma(ma_len10) //plot(out1, color=green, offset=ma_offset) //plot(out2, color=red, offset=ma_offset) //lengthshort = input(8, minval = 1, title = "Short EMA Length") //lengthlong = input(200, minval = 2, title = "Long EMA Length") //emacloudleading = input(50, minval = 0, title = "Leading Period For EMA Cloud") //src = input(hl2, title = "Source") showlong = input(false, title='Show Long Alerts') showshort = input(false, title='Show Short Alerts') showLine = input(false, title='Display EMA Line') ema1 = input(true, title='Show EMA Cloud-1') ema2 = input(true, title='Show EMA Cloud-2') ema3 = input(true, title='Show EMA Cloud-3') ema4 = input(true, title='Show EMA Cloud-4') ema5 = input(true, title='Show EMA Cloud-5') emacloudleading = input.int(0, minval=0, title='Leading Period For EMA Cloud') mashort1 = htf_ma1 malong1 = htf_ma2 mashort2 = htf_ma3 malong2 = htf_ma4 mashort3 = htf_ma5 malong3 = htf_ma6 mashort4 = htf_ma7 malong4 = htf_ma8 mashort5 = htf_ma9 malong5 = htf_ma10 cloudcolour1 = mashort1 >= malong1 ? color.rgb(0, 255, 0) : color.rgb(255, 0, 0) cloudcolour2 = mashort2 >= malong2 ? #4caf4f47 : #ff110047 cloudcolour4 = mashort4 >= malong4 ? #4caf4f52 : #f2364652 cloudcolour5 = mashort5 >= malong5 ? #33ff0026 : #ff000026 //03abc1 mashortcolor1 = mashort1 >= mashort1 ? color.olive : color.maroon mashortcolor2 = mashort2 >= mashort2 ? color.olive : color.maroon mashortcolor3 = mashort3 >= mashort3 ? color.olive : color.maroon mashortcolor4 = mashort4 >= mashort4 ? color.olive : color.maroon mashortcolor5 = mashort5 >= mashort5 ? color.olive : color.maroon mashortline1 = plot(ema1 ? mashort1 : na, color=showLine ? mashortcolor1 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA1', force_overlay=true) mashortline2 = plot(ema2 ? mashort2 : na, color=showLine ? mashortcolor2 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA2', force_overlay=true) mashortline3 = plot(ema3 ? mashort3 : na, color=showLine ? mashortcolor3 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA3', force_overlay=true) mashortline4 = plot(ema4 ? mashort4 : na, color=showLine ? mashortcolor4 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA4', force_overlay=true) mashortline5 = plot(ema5 ? mashort5 : na, color=showLine ? mashortcolor5 : na, linewidth=1, offset=emacloudleading, title='Short Leading EMA5', force_overlay=true) malongcolor1 = malong1 >= malong1 ? color.green : color.red malongcolor2 = malong2 >= malong2 ? color.green : color.red malongcolor3 = malong3 >= malong3 ? color.green : color.red malongcolor4 = malong4 >= malong4 ? color.green : color.red malongcolor5 = malong5 >= malong5 ? color.green : color.red malongline1 = plot(ema1 ? malong1 : na, color=showLine ? malongcolor1 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA1', force_overlay=true) malongline2 = plot(ema2 ? malong2 : na, color=showLine ? malongcolor2 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA2', force_overlay=true) malongline3 = plot(ema3 ? malong3 : na, color=showLine ? malongcolor3 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA3', force_overlay=true) malongline4 = plot(ema4 ? malong4 : na, color=showLine ? malongcolor4 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA4', force_overlay=true) malongline5 = plot(ema5 ? malong5 : na, color=showLine ? malongcolor5 : na, linewidth=3, offset=emacloudleading, title='Long Leading EMA5', force_overlay=true) fill(mashortline1, malongline1, color=cloudcolour1, title='MA Cloud1', transp=45) fill(mashortline2, malongline2, color=cloudcolour2, title='MA Cloud2', transp=65) fill(mashortline4, malongline4, color=cloudcolour4, title='MA Cloud4', transp=65) fill(mashortline5, malongline5, color=cloudcolour5, title='MA Cloud5', transp=65) leftBars = input(15, title='Left Bars ') rightBars = input(15, title='Right Bars') volumeThresh = input(20, title='Volume Threshold') // highUsePivot = fixnan(ta.pivothigh(leftBars, rightBars) ) lowUsePivot = fixnan(ta.pivotlow(leftBars, rightBars) ) r1 = plot(highUsePivot, color=ta.change(highUsePivot) ? na : #FF0000, linewidth=3, offset=-(rightBars + 1), title='Resistance', force_overlay=true) s1 = plot(lowUsePivot, color=ta.change(lowUsePivot) ? na : #00ff0d, linewidth=3, offset=-(rightBars + 1), title='Support', force_overlay=true) //Volume % short = ta.ema(volume, 5) long = ta.ema(volume, 10) osc = 100 * (short - long) / long //For bull / bear wicks // This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org // © divudivu600 // Developer By ALCON ALGO //telegram : @harmonicryptosignals //@version = 5 //indicator(shorttitle='Oscillator Vision', title='Alcon Oscillator Vision', overlay=false) n1 = input(10, 'Channel length') n2 = input(21, 'Average length') reaction_wt = input.int(defval=1, title='Reaction in change of direction', minval=1) nsc = input.float(53, 'Levels About Buys', minval=0.0) nsv = input.float(-53, 'Levels About Sells', maxval=-0.0) Buy_sales = input(true, title='Only Smart Buy Reversal') Sell_sales = input(true, title='Only Smart Sell Reversal') Histogram = input(true, title='Show Histogarm') //Trendx = input(false, title='Show Trendx') barras = input(true, title='Divergence on chart(Bars)') divregbull = input(true, title='Regular Divergence Bullish') divregbear = input(true, title='Regular Divergence Bearish') divhidbull = input(true, title='Show Divergence Hidden Bullish') divhidbear = input(true, title='Show Divergence Hidden Bearish') Tags = input(true, title='Show Divergence Lable') amme = input(false, title='Activar media movil Extra para WT') White = #FDFEFE Black = #000000 Bearish = #e91e62 Bullish = #18e0ff Strong_Bullish = #2962ff Bullish2 = #00bedc Blue1 = #00D4FF Blue2 = #009BBA orange = #FF8B00 yellow = #FFFB00 LEZ = #0066FF purp = #FF33CC // Colouring tf(_res, _exp, gaps_on) => gaps_on == 0 ? request.security(syminfo.tickerid, _res, _exp) : gaps_on == true ? request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_on, barmerge.lookahead_off) : request.security(syminfo.tickerid, _res, _exp, barmerge.gaps_off, barmerge.lookahead_off) ha_htf = '' show_ha = input.bool(true, "Show HA Plot/ Market Bias", group="HA Market Bias") ha_len = input(7, 'Period', group="HA Market Bias") ha_len2 = input(10, 'Smoothing', group="HA Market Bias") // Calculations { o = ta.ema(open, ha_len) c = ta.ema(close, ha_len) h1 = ta.ema(high, ha_len) l1 = ta.ema(low, ha_len) haclose = tf(ha_htf, (o + h1 + l1 + c) / 4, 0) xhaopen = tf(ha_htf, (o + c) / 2, 0) haopen = na(xhaopen ) ? (o + c) / 2 : (xhaopen + haclose ) / 2 hahigh = math.max(h1, math.max(haopen, haclose)) halow = math.min(l1, math.min(haopen, haclose)) o2 = tf(ha_htf, ta.ema(haopen, ha_len2), 0) c2 = tf(ha_htf, ta.ema(haclose, ha_len2), 0) h2 = tf(ha_htf, ta.ema(hahigh, ha_len2), 0) l2 = tf(ha_htf, ta.ema(halow, ha_len2), 0) ha_avg = (h2 + l2) / 2 // } osc_len = 8 osc_bias = 100 *(c2 - o2) osc_smooth = ta.ema(osc_bias, osc_len) sigcolor = (osc_bias > 0) and (osc_bias >= osc_smooth) ? color.new(Bullish, 35) : (osc_bias > 0) and (osc_bias < osc_smooth) ? color.new(Bullish2, 75) : (osc_bias < 0) and (osc_bias <= osc_smooth) ? color.new(Bearish, 35) : (osc_bias < 0) and (osc_bias > osc_smooth) ? color.new(Bearish, 75) : na // } nsc1 = nsc nsc2 = nsc + 5 nsc3 = nsc + 10 nsc4 = nsc + 15 nsc5 = nsc + 20 nsc6 = nsc + 25 nsc7 = nsc + 30 nsc8 = nsc + 35 nsv1 = nsv - 5 nsv2 = nsv - 10 nsv3 = nsv - 15 nsv4 = nsv - 20 nsv5 = nsv - 25 nsv6 = nsv - 30 nsv7 = nsv - 35 nsv8 = nsv - 40 ap = hlc3 esa = ta.ema(ap, n1) di = ta.ema(math.abs(ap - esa), n1) ci = (ap - esa) / (0.015 * di) tci = ta.ema(ci, n2) wt1 = tci wt2 = ta.sma(wt1, 4) direction = 0 direction := ta.rising(wt1, reaction_wt) ? 1 : ta.falling(wt1, reaction_wt) ? -1 : nz(direction ) Change_of_direction = ta.change(direction, 1) pcol = direction > 0 ? Strong_Bullish : direction < 0 ? Bearish : na obLevel1 = input(60, 'Over Bought Level 1') obLevel2 = input(53, 'Over Bought Level 2') osLevel1 = input(-60, 'Over Sold Level 1') osLevel2 = input(-53, 'Over Sold Level 2') rsi = ta.rsi(close,14) color greengrad = color.from_gradient(rsi, 10, 90, #00ddff, #007d91) color redgrad = color.from_gradient(rsi, 10, 90, #8b002e, #e91e62) ob1 = plot(obLevel1, color=#e91e6301) os1 = plot(osLevel1, color=#00dbff01) ob2 = plot(obLevel2, color=#e91e6301) os2 = plot(osLevel2, color=#00dbff01) p1 = plot(wt1, color=#00dbff01) p2 = plot(wt2, color=#e91e6301) plot(wt1 - wt2, color=wt2 - wt1 > 0 ? redgrad : greengrad, style=plot.style_columns) // fill(p1,p2,color = wt2 - wt1 > 0 ? redgrad: greengrad) // old fill(p1,p2,color = sigcolor) // new fill(ob1,ob2,color = #e91e6350) fill(os1,os2,color = #00dbff50) midpoint = (nsc + nsv) / 2 ploff = (nsc - midpoint) / 8 BullSale = ta.crossunder(wt1, wt2) and wt1 >= nsc and Buy_sales == true BearSale = ta.crossunder(wt1, wt2) and Buy_sales == false Bullishh = ta.crossover(wt1, wt2) and wt1 <= nsv and Sell_sales == true Bearishh = ta.crossover(wt1, wt2) and Sell_sales == false plot(BullSale ? wt2 + ploff : na, style=plot.style_circles, color=color.new(Bearish, 0), linewidth=6, title='BuysG') plot(BearSale ? wt2 + ploff : na, style=plot.style_circles, color=color.new(Bearish, 0), linewidth=6, title='SellsG') plot(Bullishh ? wt2 - ploff : na, style=plot.style_circles, color=color.new(Strong_Bullish, 0), linewidth=6, title='Buys On Sale') plot(Bearishh ? wt2 - ploff : na, style=plot.style_circles, color=color.new(Strong_Bullish, 0), linewidth=6, title='Sells on Sale') //plot(Histogram ? wt1 - wt2 : na, style=plot.style_area, color=color.new(Blue2, 80), linewidth=1, title='Histograma') //barcolor(barras == true and Bullishh == true or barras == true and Bearishh == true ? Bullish2 : na) //barcolor(barras == true and BullSale == true or barras == true and BearSale == true ? Bearish : na) /////// Divergence /////// f_top_fractal(_src) => _src < _src and _src < _src and _src > _src and _src > _src f_bot_fractal(_src) => _src > _src and _src > _src and _src < _src and _src < _src f_fractalize(_src) => f_top_fractal(_src) ? 1 : f_bot_fractal(_src) ? -1 : 0 fractal_top1 = f_fractalize(wt1) > 0 ? wt1 : na fractal_bot1 = f_fractalize(wt1) < 0 ? wt1 : na high_prev1 = ta.valuewhen(fractal_top1, wt1 , 0) high_price1 = ta.valuewhen(fractal_top1, high , 0) low_prev1 = ta.valuewhen(fractal_bot1, wt1 , 0) low_price1 = ta.valuewhen(fractal_bot1, low , 0) regular_bearish_div1 = fractal_top1 and high > high_price1 and wt1 < high_prev1 and divregbear == true hidden_bearish_div1 = fractal_top1 and high < high_price1 and wt1 > high_prev1 and divhidbear == true regular_bullish_div1 = fractal_bot1 and low < low_price1 and wt1 > low_prev1 and divregbull == true hidden_bullish_div1 = fractal_bot1 and low > low_price1 and wt1 < low_prev1 and divhidbull == true col1 = regular_bearish_div1 ? Bearish : hidden_bearish_div1 ? Bearish : na col2 = regular_bullish_div1 ? Strong_Bullish : hidden_bullish_div1 ? Strong_Bullish : na //plot(title='Divergence Bearish', series=fractal_top1 ? wt1 : na, color=col1, linewidth=2, transp=0) //plot(title='Divergence Bullish', series=fractal_bot1 ? wt1 : na, color=col2, linewidth=2, transp=0) plotshape(regular_bearish_div1 and divregbear and Tags ? wt1 + ploff * 1 : na, title='Divergence Regular Bearish', text='Bear', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(Bearish, 0), textcolor=color.new(White, 0)) plotshape(hidden_bearish_div1 and divhidbear and Tags ? wt1 + ploff * 1 : na, title='Divergence Hidden Bearish', text='H Bear', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(Bearish, 0), textcolor=color.new(White, 0)) plotshape(regular_bullish_div1 and divregbull and Tags ? wt1 - ploff * 1 : na, title='Divergence Regular Bullish', text='Bull', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(Strong_Bullish, 0), textcolor=color.new(White, 0)) plotshape(hidden_bullish_div1 and divhidbull and Tags ? wt1 - ploff * 1 : na, title='Divergence Hidden Bullish', text='H Bull', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(Strong_Bullish, 0), textcolor=color.new(White, 0)) /////// Unfazed Alerts ////// ////////////////////////////////////////////////-MISTERMOTA MOMENTUM-///////////////////////////////////// source = input(close) responsiveness = math.max(0.00001, input.float(0.9, minval=0.0, maxval=1.0)) periodd = input(50) sd = ta.stdev(source, 50) * responsiveness var worm = source diff = source - worm delta = math.abs(diff) > sd ? math.sign(diff) * sd : diff worm += delta ma = ta.sma(source, periodd) raw_momentum = (worm - ma) / worm current_med = raw_momentum min_med = ta.lowest(current_med, periodd) max_med = ta.highest(current_med, periodd) temp = (current_med - min_med) / (max_med - min_med) value = 0.5 * 2 value *= (temp - .5 + .5 * nz(value )) value := value > .9999 ? .9999 : value value := value < -0.9999 ? -0.9999 : value temp2 = (1 + value) / (1 - value) momentum = .25 * math.log(temp2) momentum += .5 * nz(momentum ) //momentum := raw_momentum signal = nz(momentum ) trend = math.abs(momentum) <= math.abs(momentum ) ////////////////////////////////////////////////-GROWING/FAILING-////////////////////////////////////////// length = input.int(title="MOM Period", minval=1, defval=14, group="MOM Settings") srcc = input(title="MOM Source", defval=hlc3, group="MOM Settings") txtcol_grow_above = input(#1a7b24, "Above   Grow", group="MOM Settings", inline="Above") txtcol_fall_above = input(#672ec5, "Fall", group="MOM Settings", inline="Above") txtcol_grow_below = input(#F37121, "Below Grow", group="MOM Settings", inline="Below") txtcol_fall_below = input(#be0606, "Fall", group="MOM Settings", inline="Below") ma(source, length, type) => switch type "SMA" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) typeMA = input.string(title = "Method", defval = "SMA", options= , group="MA Settings") smoothingLength = input.int(title = "Length", defval = 5, minval = 1, maxval = 100, group="MA Settings") smoothingLine = ma(delta, smoothingLength, typeMA) deltaText=(delta > 0 ? (delta > delta ? " MOM > 0 and ▲ Growing, MOM = " + str.tostring(delta , "#.##") :" MOM > 0 and ▼ Falling, MOM = " + str.tostring(delta , "#.##") ) : (delta > delta ? "MOM < 0 and ▲ Growing, MOM = " + str.tostring(delta , "#.##"): " MOM < 0 and ▼ Falling, MOM = " + str.tostring(delta , "#.##"))) oneDay = 24 * 60 * 60 * 1000 barsAhead = 3 tmf = if timeframe.ismonthly barsAhead * oneDay * 30 else if timeframe.isweekly barsAhead * oneDay * 7 else if timeframe.isdaily barsAhead * oneDay else if timeframe.isminutes barsAhead * oneDay * timeframe.multiplier / 1440 else if timeframe.isseconds barsAhead * oneDay * timeframe.multiplier / 86400 else 0 angle(_src) => rad2degree = 180 / 3.14159265359 //pi ang = rad2degree * math.atan((_src - _src ) / ta.atr(14)) ang emae = angle(smoothingLine) emaanglestat = emae > emae ? "▲ Growing": "▼ Falling" deltaTextxxx = "MOM MA/ATR angle value is " + str.tostring(emae, "#.##") + "° and is " + emaanglestat deltacolorxxx = emae >0 and emae >=emae ? txtcol_grow_above : txtcol_fall_below // Label label lpt1 = label.new(time, -30, text=deltaTextxxx , color=deltacolorxxx, xloc=xloc.bar_time, style=label.style_label_left, textcolor=color.white, textalign=text.align_left, size=size.normal) label.set_x(lpt1, label.get_x(lpt1) + tmf) label.delete(lpt1 ) txtdeltaColors = (delta > 50 ? (delta < delta ? txtcol_grow_above : txtcol_fall_above) : (delta < delta ? txtcol_grow_below : txtcol_fall_below)) label ldelta1 = label.new(time, 30, text=deltaText , color=txtdeltaColors, xloc=xloc.bar_time, style=label.style_label_left, textcolor=color.white, textalign=text.align_left, size=size.normal) label.set_x(ldelta1, label.get_x(ldelta1) + tmf) label.delete(ldelta1 )
Pine Script® göstergesi
brunoscarabelli82 tarafından
Info TableOverview The Info Table V1 is a versatile TradingView indicator tailored for intraday futures traders, particularly those focusing on MESM2 (Micro E-mini S&P 500 futures) on 1-minute charts. It presents essential market insights through two customizable tables: the Main Table for predictive and macro metrics, and the New Metrics Table for momentum and volatility indicators. Designed for high-activity sessions like 9:30 AM–11:00 AM CDT, this tool helps traders assess price alignment, sentiment, and risk in real-time. Metrics update dynamically (except weekly COT data), with optional alerts for key conditions like volatility spikes or momentum shifts. This indicator builds on foundational concepts like linear regression for predictions and adapts open-source elements for enhanced functionality. Gradient code is adapted from TradingView's Color Library. QQE logic is adapted from LuxAlgo's QQE Weighted Oscillator, licensed under CC BY-NC-SA 4.0. The script is released under the Mozilla Public License 2.0. Key Features Two Customizable Tables: Positioned independently (e.g., top-right for Main, bottom-right for New Metrics) with toggle options to show/hide for a clutter-free chart. Gradient Coloring: User-defined high/low colors (default green/red) for quick visual interpretation of extremes, such as overbought/oversold or high volatility. Arrows for Directional Bias: In the New Metrics Table, up (↑) or down (↓) arrows appear in value cells based on metric thresholds (top/bottom 25% of range), indicating bullish/high or bearish/low conditions. Consensus Highlighting: The New Metrics Table's title cells ("Metric" and "Value") turn green if all arrows are ↑ (strong bullish consensus), red if all are ↓ (strong bearish consensus), or gray otherwise. Predicted Price Plot: Optional line (default blue) overlaying the ML-predicted price for visual comparison with actual price action. Alerts: Notifications for high/low Frahm Volatility (≥8 or ≤3) and QQE Bias crosses (bullish/bearish momentum shifts). Main Table Metrics This table focuses on predictive, positional, and macro insights: ML-Predicted Price: A linear regression forecast using normalized price, volume, and RSI over a customizable lookback (default 500 bars). Gradient scales from low (red) to high (green) relative to the current price ± threshold (default 100 points). Deviation %: Percentage difference between current price and predicted price. Gradient highlights extremes (±0.5% default threshold), signaling potential overextensions. VWAP Deviation %: Percentage difference from Volume Weighted Average Price (VWAP). Gradient indicates if price is above (green) or below (red) fair value (±0.5% default). FRED UNRATE % Change: Percentage change in U.S. unemployment rate (via FRED data). Cell turns red for increases (economic weakness), green for decreases (strength), gray if zero or disabled. Open Interest: Total open MESM2 futures contracts. Gradient scales from low (red) to high (green) up to a hardcoded 300,000 threshold, reflecting market participation. COT Commercial Long/Short: Weekly Commitment of Traders data for commercial positions. Long cell green if longs > shorts (bullish institutional sentiment); Short cell red if shorts > longs (bearish); gray otherwise. New Metrics Table Metrics This table emphasizes technical momentum and volatility, with arrows for quick bias assessment: QQE Bias: Smoothed RSI vs. trailing stop (default length 14, factor 4.236, smooth 5). Green for bullish (RSI > stop, ↑ arrow), red for bearish (RSI < stop, ↓ arrow), gray for neutral. RSI: Relative Strength Index (default period 14). Gradient from oversold (red, <30 + threshold offset, ↓ arrow if ≤40) to overbought (green, >70 - offset, ↑ arrow if ≥60). ATR Volatility: Score (1–20) based on Average True Range (default period 14, lookback 50). High scores (green, ↑ if ≥15) signal swings; low (red, ↓ if ≤5) indicate calm. ADX Trend: Average Directional Index (default period 14). Gradient from weak (red, ↓ if ≤0.25×25 threshold) to strong trends (green, ↑ if ≥0.75×25). Volume Momentum: Score (1–20) comparing current to historical volume (lookback 50). High (green, ↑ if ≥15) suggests pressure; low (red, ↓ if ≤5) implies weakness. Frahm Volatility: Score (1–20) from true range over a window (default 24 hours, multiplier 9). Dynamic gradient (green/red/yellow); ↑ if ≥7.5, ↓ if ≤2.5. Frahm Avg Candle (Ticks): Average candle size in ticks over the window. Blue gradient (or dynamic green/red/yellow); ↑ if ≥0.75 percentile, ↓ if ≤0.25. Arrows trigger on metric-specific logic (e.g., RSI ≥60 for ↑), providing directional cues without strict color ties. Customization Options Adapt the indicator to your strategy: ML Inputs: Lookback (10–5000 bars) and RSI period (2+) for prediction sensitivity—shorter for volatility, longer for trends. Timeframes: Individual per metric (e.g., 1H for QQE Bias to match higher frames; blank for chart timeframe). Thresholds: Adjust gradients and arrows (e.g., Deviation 0.1–5%, ADX 0–100, RSI overbought/oversold). QQE Settings: Length, factor, and smooth for fine-tuned momentum. Data Toggles: Enable/disable FRED, Open Interest, COT for focus (e.g., disable macro for pure intraday). Frahm Options: Window hours (1+), scale multiplier (1–10), dynamic colors for avg candle. Plot/Table: Line color, positions, gradients, and visibility. Ideal Use Case Perfect for MESM2 scalpers and trend traders. Use the Main Table for entry confirmation via predicted deviations and institutional positioning. Leverage the New Metrics Table arrows for short-term signals—enter bullish on green consensus (all ↑), avoid chop on low volatility. Set alerts to catch shifts without constant monitoring. Why It's Valuable Info Table V1 consolidates diverse metrics into actionable visuals, answering critical questions: Is price mispriced? Is momentum aligning? Is volatility manageable? With real-time updates, consensus highlights, and extensive customization, it enhances precision in fast markets, reducing guesswork for confident trades. Note: Optimized for futures; some metrics (OI, COT) unavailable on non-futures symbols. Test on demo accounts. No financial advice—use at your own risk. The provided script reuses open-source elements from TradingView's Color Library and LuxAlgo's QQE Weighted Oscillator, as noted in the script comments and description. Credits are appropriately given in both the description and code comments, satisfying the requirement for attribution. Regarding significant improvements and proportion: The QQE logic comprises approximately 15 lines of code in a script exceeding 400 lines, representing a small proportion (<5%). Adaptations include integration with multi-timeframe support via request.security, user-customizable inputs for length, factor, and smooth, and application within a broader table-based indicator for momentum bias display (with color gradients, arrows, and alerts). This extends the original QQE beyond standalone oscillator use, incorporating it as one of seven metrics in the New Metrics Table for confluence analysis (e.g., consensus highlighting when all metrics align). These are functional enhancements, not mere stylistic or variable changes. The Color Library usage is via official import (import TradingView/Color/1 as Color), leveraging built-in gradient functions without copying code, and applied to enhance visual interpretation across multiple metrics. The script complies with the rules: reused code is minimal, significantly improved through integration and expansion, and properly credited. It qualifies for open-source publication under the Mozilla Public License 2.0, as stated.
Pine Script® göstergesi
charleyRT tarafından