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Two EMA's crossing w/ TRIX & ADX/DI & EMA@RSI filteringThe initial idea for the "X-candle" script is from @nmike, and the requirement was to mark the bar with positive or negative as EMA(5) and EMA(13) cross. Later, it was requested to filter the above with Trix(3) so it just crosses the "zero" line and goes in either positive or negative territory - confirming the EMA's crossing. In addition, one of my ideas was to integrate 2 more rules, and the final looked something like this ... The script marks the candle vertical background with green or red when all 4 rules are satisfied: 1. Between the current and previous bar has to be a cross of the EMA lines (by default: EMA 5 and EMA 13) 2. The current bar is the first or second bar crossing the zero TRIX line ... going in either Positive or Negative range, confirming the first rule 3. ADX is above threshold 25 & DI is also valid (higher than the opposite DI) ... confirming trend direction and strength 4. EMA(21) on top of RSI(13), one of my favorites, so it has to be valid also At the end the script did extensive filtering, and it does filter some good ones also. Needs more work, less filtering, more tolerance, and new rules. All of the above indicator parameters can be modified easily, so anybody can play with. If you find some better indicator parameters that will provide a more efficient filtering, please let us know and drop me a note. Thanks!
Indicatore Pine Script®
di zokipoki
1
Directional Trend Index (DTI) This technique was described by William Blau in his book "Momentum, Direction and Divergence" (1995). His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods. Directional Trend Index is an indicator similar to DM+ developed by Welles Wilder. The DM+ (a part of Directional Movement System which includes both DM+ and DM- indicators) indicator helps determine if a security is "trending." William Blau added to it a zeroline, relative to which the indicator is deemed positive or negative. A stable uptrend is a period when the DTI value is positive and rising, a downtrend when it is negative and falling. You can change long to short in the Input Settings Please, use it only for learning or paper trading. Do not for real trading
Strategia Pine Script®
di HPotter
2
Directional Trend Index (DTI) Strategy This technique was described by William Blau in his book "Momentum, Direction and Divergence" (1995). His book focuses on three key aspects of trading: momentum, direction and divergence. Blau, who was an electrical engineer before becoming a trader, thoroughly examines the relationship between price and momentum in step-by-step examples. From this grounding, he then looks at the deficiencies in other oscillators and introduces some innovative techniques, including a fresh twist on Stochastics. On directional issues, he analyzes the intricacies of ADX and offers a unique approach to help define trending and non-trending periods. Directional Trend Index is an indicator similar to DM+ developed by Welles Wilder. The DM+ (a part of Directional Movement System which includes both DM+ and DM- indicators) indicator helps determine if a security is "trending." William Blau added to it a zeroline, relative to which the indicator is deemed positive or negative. A stable uptrend is a period when the DTI value is positive and rising, a downtrend when it is negative and falling.
Indicatore Pine Script®
di HPotter
1
Indicators: Chartmill Value Indicator & Random Walk IndexChartMill Value Indicator & Modified ChartMill Value Indicator : ------------------------------- Developed by Dirk Vandycke, CVI tracks how far the price spread is from its MA. Since MA keeps increasing even when price consolidates or stalls, it is very difficult for the deviation from a moving average to remain in the overbought or oversold regions for extended periods, which represents a significant improvement over other oscillators such as the RSI and Stochastic indicators. However, a simple price spread from a moving average would not be comparable across all securities, which would preclude us from using the spread in systematic strategies. Fortunately, Mr.Vandycke addresses this problem by dividing the spread by the average true range, which is dependent on both the price level and volatility of the underlying security. There is a variation of CVI called Modified CVI, which does time normalization of ATR (not the MA). This indicator supports displaying "Modified CVI" too. Check the options page. This indicator is best used with other oscillators, to confirm signals. Zero line (in this case, "1" line since the gray line is drawn at the value of 1) crossovers should also be considered as signals. I suggest tuning the OB/OS levels to match your instrument (usually it is around 0.5/-0.5 range). More info: www.traders.com Random Walk Index ------------------------- RWI is used to determine if an issue is trending or in a random trading range (like ADX/Aroon). It attempts to do this by first determining an issue's trading range. The next step is to calculate a series of RWI indexes for the maximum look-back period. The largest index move in relation to a random walk is used as today's index. Michael Poulos, inventor of RWI, recommends 2 to 7 for the short-term time frames and 8-64 for long terms. An issue is trending higher if the long term RWI of highs is greater than 1, while a downtrend is indicated if the long term RWI of lows is greater than 1. Below are some more rules developed by Mr.Poulos: - Enter a long (or close short) when the long-term RWI of the highs is greater than 1 and the short-term RWI of lows peaks above 1 - Enter short (or close long) when the long-term RWI of the lows is greater than 1 and the short-term RWI of highs peaks above 1 More info: - tradingsim.com For displaying only the histogram (as shown in the bottom pane), select "ShowOnlyHistogram" in the options page.
Indicatore Pine Script®
di LazyBear
5
Trend Strength & Direction📌 Assumptions of the "Trend Strength & Direction" Model This model is designed to measure both trend strength and trend direction, using a modified version of the ADX (Average Directional Index) while also identifying ranging markets. Below is a detailed breakdown of all key assumptions. 1️⃣ Using ADX as the Basis for Trend Strength Why ADX? The ADX (Average Directional Index) is one of the most commonly used indicators for measuring trend strength, regardless of direction. How is it calculated? ATR (Average True Range) is used to normalize volatility. Directional movement (+DM and -DM) is smoothed with an Exponential Moving Average (EMA) to obtain the +DI (Positive Directional Indicator) and -DI (Negative Directional Indicator). Trend strength is derived by normalizing the absolute difference between +DI and -DI, divided by the sum of both. 🔹 Assumption: A high ADX means the trend is strong (whether bullish or bearish). 2️⃣ 50-Period Moving Average for Trend Strength Why add a moving average? ADX can be very volatile in the short term. A 50-period SMA (Simple Moving Average) is used to smooth out trend strength and identify sustained trends. 🔹 Assumption: The SMA reduces false signals caused by short-term ADX spikes. 3️⃣ Identifying a Ranging Market (ADX Below 35) How is a ranging market defined? If the trend strength (ADX) is below 35, the market is considered "ranging". The 35-level threshold is chosen empirically since ADX values below this level often indicate a lack of strong price direction. When the market is ranging, the background color turns yellow. 🔹 Assumption: ADX < 35 indicates a sideways market, so the indicator colors the background yellow. 4️⃣ Determining Trend Direction Using +DI and -DI How is direction determined? If +DI > -DI, the trend is bullish (green). If -DI > +DI, the trend is bearish (red). If ADX is below 35, the market is ranging and turns yellow. 🔹 Assumption: Trend direction is determined by the relationship between +DI and -DI, not ADX values. 5️⃣ Background Color to Highlight Market Conditions Yellow background if ADX < 35 → Ranging market. Green background if ADX ≥ 35 and bullish. Red background if ADX ≥ 35 and bearish. 🔹 Assumption: The background color visually differentiates trending vs. ranging phases. 6️⃣ Reference Levels for ADX Lateral Threshold (35) → Below this, the trend is weak or ranging. Neutral Threshold (50) → Intermediate level indicating moderate trend strength. Strong Trend Threshold (75) → Above this, the trend is very strong and possibly overextended. 🔹 Assumption: ADX above 75 indicates a very strong trend, potentially near exhaustion. 🔹 Summary of Key Assumptions 1️⃣ ADX is the core strength metric → Strong trends when ADX > 35, weak below 35. 2️⃣ The 50-period SMA smooths out volatility → Prevents false signals. 3️⃣ Ranging markets are defined as ADX < 35 → Yellow background color. 4️⃣ Trend direction is based on +DI vs. -DI → Green = bullish, Red = bearish. 5️⃣ Background colors enhance readability → Helps distinguish different market phases. 6️⃣ ADX reference levels (35, 50, 75) indicate increasing trend strength. Conclusion This model combines ADX with a moving average and color-based logic to highlight trend strength, trend direction, and sideways markets. It helps traders quickly identify the best conditions for entering or exiting trades. 🚀
Indicatore Pine Script®
di andreapsoroulas21
Strength Measurement -HTThe Strength Measurement -HT indicator is a tool designed to measure the strength and trend of a security using the Average Directional Index (ADX) across multiple time frames. This script averages the ADX values from five different time frames to provide a comprehensive view of the trend's strength, helping traders make more informed decisions. Key Features: Multi-Time Frame Analysis: The indicator calculates ADX values from five different time frames (5 minutes, 15 minutes, 30 minutes, 1 hour, and 4 hours) to offer a more holistic view of the market trend. Trend Strength Visualization: The average ADX value is plotted as a histogram, with colors indicating the trend strength and direction, making it easy to visualize and interpret. Reference Levels: The script includes horizontal lines at ADX levels 25, 50, and 75 to signify weak, strong, and very strong trends, respectively. How It Works Directional Movement Calculation: The script calculates the positive and negative directional movements (DI+) and (DI-) using the true range over a specified period (default is 14 periods). ADX Calculation: The ADX value is derived from the smoothed moving average of the absolute difference between DI+ and DI-, normalized by their sum. Multi-Time Frame ADX: ADX values are computed for the 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour time frames. Average ADX: The script averages the ADX values from the different time frames to generate a single, comprehensive ADX value. Trend Visualization: The average ADX value is plotted as a histogram with colors indicating: Gray for weak trends (ADX < 25) Green for strengthening trends (25 ≤ ADX < 50) Dark Green for strong trends (ADX ≥ 50) Light Red for weakening trends (ADX < 25) Red for strong trends turning weak (ADX ≥ 25) Usage Trend Detection: Use the color-coded histogram to quickly identify the trend strength and direction. Green indicates a strengthening trend, while red signifies a weakening trend. Reference Levels: Utilize the horizontal lines at ADX levels 25, 50, and 75 as reference points to gauge the trend's strength. ADX < 25 suggests a weak trend. ADX between 25 and 50 indicates a moderate to strong trend. ADX > 50 points to a very strong trend. Multi-Time Frame Insight: Leverage the averaged ADX value to gain insights from multiple time frames, helping you make more informed trading decisions based on a broader market perspective. Feel free to explore and integrate this indicator into your trading strategy to enhance your market analysis and decision-making process. Happy trading!
Indicatore Pine Script®
di AccountantX
Ruckard TradingLatinoThis strategy tries to mimic TradingLatino strategy. The current implementation is beta. Si hablas castellano o espanyol por favor consulta MENSAJE EN CASTELLANO más abajo. It's aimed at BTCUSDT pair and 4h timeframe. STRATEGY DEFAULT SETTINGS EXPLANATION max_bars_back=5000 : This is a random number of bars so that the strategy test lasts for one or two years calc_on_order_fills=false : To wait for the 4h closing is too much. Try to check if it's worth entering a position after closing one. I finally decided not to recheck if it's worth entering after an order is closed. So it is false. calc_on_every_tick=false pyramiding=0 : We only want one entry allowed in the same direction. And we don't want the order to scale by error. initial_capital=1000 : These are 1000 USDT. By using 1% maximum loss per trade and 7% as a default stop loss by using 1000 USDT at 12000 USDT per BTC price you would entry with around 142 USDT which are converted into: 0.010 BTC . The maximum number of decimal for contracts on this BTCUSDT market is 3 decimals. E.g. the minimum might be: 0.001 BTC . So, this minimal 1000 amount ensures us not to entry with less than 0.001 entries which might have happened when using 100 USDT as an initial capital. slippage=1 : Binance BTCUSDT mintick is: 0.01. Binance slippage: 0.1 % (Let's assume). TV has an integer slippage. It does not have a percentage based slippage. If we assume a 1000 initial capital, the recommended equity is 142 which at 11996 USDT per BTC price means: 0.011 BTC. The 0.1% slippage of: 0.011 BTC would be: 0.000011 . This is way smaller than the mintick. So our slippage is going to be 1. E.g. 1 (slippage) * 0.01 (mintick) commission_type=strategy.commission.percent and commission_value=0.1 : According to: binance . com / en / fee / schedule in VIP 0 level both maker and taker fees are: 0.1 %. BACKGROUND Jaime Merino is a well known Youtuber focused on crypto trading His channel TradingLatino features monday to friday videos where he explains his strategy. JAIME MERINO STANCE ON BOTS Jaime Merino stance on bots (taken from memory out of a 2020 June video from him): '~ You know. They can program you a bot and it might work. But, there are some special situations that the bot would not be able to handle. And, I, as a human, I would handle it. And the bot wouldn't do it. ~' My long term target with this strategy script is add as many special situations as I can to the script so that it can match Jaime Merino behaviour even in non normal circumstances. My alternate target is learn Pine script and enjoy programming with it. WARNING This script might be bigger than other TradingView scripts. However, please, do not be confused because the current status is beta. This script has not been tested with real money. This is NOT an official strategy from Jaime Merino. This is NOT an official strategy from TradingLatino . net . HOW IT WORKS It basically uses ADX slope and LazyBear's Squeeze Momentum Indicator to make its buy and sell decisions. Fast paced EMA being bigger than slow paced EMA (on higher timeframe) advices going long. Fast paced EMA being smaller than slow paced EMA (on higher timeframe) advices going short. It finally add many substrats that TradingLatino uses. SETTINGS __ SETTINGS - Basics ____ SETTINGS - Basics - ADX (ADX) Smoothing {14} (ADX) DI Length {14} (ADX) key level {23} ____ SETTINGS - Basics - LazyBear Squeeze Momentum (SQZMOM) BB Length {20} (SQZMOM) BB MultFactor {2.0} (SQZMOM) KC Length {20} (SQZMOM) KC MultFactor {1.5} (SQZMOM) Use TrueRange (KC) {True} ____ SETTINGS - Basics - EMAs (EMAS) EMA10 - Length {10} (EMAS) EMA10 - Source {close} (EMAS) EMA55 - Length {55} (EMAS) EMA55 - Source {close} ____ SETTINGS - Volume Profile Lowest and highest VPoC from last three days is used to know if an entry has a support VPVR of last 100 4h bars is also taken into account (VP) Use number of bars (not VP timeframe): Uses 'Number of bars {100}' setting instead of 'Volume Profile timeframe' setting for calculating session VPoC (VP) Show tick difference from current price {False}: BETA . Might be useful for actions some day. (VP) Number of bars {100}: If 'Use number of bars (not VP timeframe)' is turned on this setting is used to calculate session VPoC. (VP) Volume Profile timeframe {1 day}: If 'Use number of bars (not VP timeframe)' is turned off this setting is used to calculate session VPoC. (VP) Row width multiplier {0.6}: Adjust how the extra Volume Profile bars are shown in the chart. (VP) Resistances prices number of decimal digits : Round Volume Profile bars label numbers so that they don't have so many decimals. (VP) Number of bars for bottom VPOC {18}: 18 bars equals 3 days in suggested timeframe of 4 hours. It's used to calculate lowest session VPoC from previous three days. It's also used as a top VPOC for sells. (VP) Ignore VPOC bottom advice on long {False}: If turned on it ignores bottom VPOC (or top VPOC on sells) when evaluating if a buy entry is worth it. (VP) Number of bars for VPVR VPOC {100}: Number of bars to calculate the VPVR VPoC. We use 100 as Jaime once used. When the price bounces back to the EMA55 it might just bounce to this VPVR VPoC if its price it's lower than the EMA55 (Sells have inverse algorithm). ____ SETTINGS - ADX Slope ADX Slope help us to understand if ADX has a positive slope, negative slope or it is rather still. (ADXSLOPE) ADX cut {23}: If ADX value is greater than this cut (23) then ADX has strength (ADXSLOPE) ADX minimum steepness entry {45}: ADX slope needs to be 45 degrees to be considered as a positive one. (ADXSLOPE) ADX minimum steepness exit {45}: ADX slope needs to be -45 degrees to be considered as a negative one. (ADXSLOPE) ADX steepness periods {3}: In order to avoid false detection the slope is calculated along 3 periods. ____ SETTINGS - Next to EMA55 (NEXTEMA55) EMA10 to EMA55 bounce back percentage {80}: EMA10 might bounce back to EMA55 or maybe to 80% of its complete way to EMA55 (NEXTEMA55) Next to EMA55 percentage {15}: How much next to the EMA55 you need to be to consider it's going to bounce back upwards again. ____ SETTINGS - Stop Loss and Take Profit You can set a default stop loss or a default take profit. (STOPTAKE) Stop Loss % {7.0} (STOPTAKE) Take Profit % {2.0} ____ SETTINGS - Trailing Take Profit You can customize the default trailing take profit values (TRAILING) Trailing Take Profit (%) {1.0}: Trailing take profit offset in percentage (TRAILING) Trailing Take Profit Trigger (%) {2.0}: When 2.0% of benefit is reached then activate the trailing take profit. ____ SETTINGS - MAIN TURN ON/OFF OPTIONS (EMAS) Ignore advice based on emas {false}. (EMAS) Ignore advice based on emas (On closing long signal) {False}: Ignore advice based on emas but only when deciding to close a buy entry. (SQZMOM) Ignore advice based on SQZMOM {false}: Ignores advice based on SQZMOM indicator. (ADXSLOPE) Ignore advice based on ADX positive slope {false} (ADXSLOPE) Ignore advice based on ADX cut (23) {true} (STOPTAKE) Take Profit? {false}: Enables simple Take Profit. (STOPTAKE) Stop Loss? {True}: Enables simple Stop Loss. (TRAILING) Enable Trailing Take Profit (%) {True}: Enables Trailing Take Profit. ____ SETTINGS - Strategy mode (STRAT) Type Strategy: 'Long and Short', 'Long Only' or 'Short Only'. Default: 'Long and Short'. ____ SETTINGS - Risk Management (RISKM) Risk Management Type: 'Safe', 'Somewhat safe compound' or 'Unsafe compound'. ' Safe ': Calculations are always done with the initial capital (1000) in mind. The maximum losses per trade/day/week/month are taken into account. ' Somewhat safe compound ': Calculations are done with initial capital (1000) or a higher capital if it increases. The maximum losses per trade/day/week/month are taken into account. ' Unsafe compound ': In each order all the current capital is gambled and only the default stop loss per order is taken into account. That means that the maximum losses per trade/day/week/month are not taken into account. Default : 'Somewhat safe compound'. (RISKM) Maximum loss per trade % {1.0}. (RISKM) Maximum loss per day % {6.0}. (RISKM) Maximum loss per week % {8.0}. (RISKM) Maximum loss per month % {10.0}. ____ SETTINGS - Decimals (DECIMAL) Maximum number of decimal for contracts {3}: How small (3 decimals means 0.001) an entry position might be in your exchange. EXTRA 1 - PRICE IS IN RANGE indicator (PRANGE) Print price is in range {False}: Enable a bottom label that indicates if the price is in range or not. (PRANGE) Price range periods {5}: How many previous periods are used to calculate the medians (PRANGE) Price range maximum desviation (%) {0.6} ( > 0 ): Maximum positive desviation for range detection (PRANGE) Price range minimum desviation (%) {0.6} ( > 0 ): Mininum negative desviation for range detection EXTRA 2 - SQUEEZE MOMENTUM Desviation indicator (SQZDIVER) Show degrees {False}: Show degrees of each Squeeze Momentum Divergence lines to the x-axis. (SQZDIVER) Show desviation labels {False}: Whether to show or not desviation labels for the Squeeze Momentum Divergences. (SQZDIVER) Show desviation lines {False}: Whether to show or not desviation lines for the Squeeze Momentum Divergences. EXTRA 3 - VOLUME PROFILE indicator WARNING: This indicator works not on current bar but on previous bar. So in the worst case it might be VP from 4 hours ago. Don't worry, inside the strategy calculus the correct values are used. It's just that I cannot show the most recent one in the chart. (VP) Print recent profile {False}: Show Volume Profile indicator (VP) Avoid label price overlaps {False}: Avoid label prices to overlap on the chart. EXTRA 4 - ZIGNALY SUPPORT (ZIG) Zignaly Alert Type {Email}: 'Email', 'Webhook'. ' Email ': Prepare alert_message variable content to be compatible with zignaly expected email content format. ' Webhook ': Prepare alert_message variable content to be compatible with zignaly expected json content format. EXTRA 5 - DEBUG (DEBUG) Enable debug on order comments {False}: If set to true it prepares the order message to match the alert_message variable. It makes easier to debug what would have been sent by email or webhook on each of the times an order is triggered. HOW TO USE THIS STRATEGY BOT MODE: This is the default setting. PROPER VOLUME PROFILE VIEWING: Click on this strategy settings. Properties tab. Make sure Recalculate 'each time the order was run' is turned off. NEWBIE USER: (Check PROPER VOLUME PROFILE VIEWING above!) You might want to turn on the 'Print recent profile {False}' setting. Alternatively you can use my alternate realtime study: 'Resistances and supports based on simplified Volume Profile' but, be aware, it might consume one indicator. ADVANCED USER 1: Turn on the 'Print price is in range {False}' setting and help us to debug this subindicator. Also help us to figure out how to include this value in the strategy. ADVANCED USER 2: Turn on the all the (SQZDIVER) settings and help us to figure out how to include this value in the strategy. ADVANCED USER 3: (Check PROPER VOLUME PROFILE VIEWING above!) Turn on the 'Print recent profile {False}' setting and report any problem with it. JAIME MERINO: Just use the indicator as it comes by default. It should only show BUY signals, SELL signals and their associated closing signals. From time to time you might want to check 'ADVANCED USER 2' instructions to check that there's actually a divergence. Check also 'ADVANCED USER 1' instructions for your amusement. EXTRA ADVICE It's advised that you use this strategy in addition to these two other indicators: * Squeeze Momentum Indicator * ADX so that your chart matches as close as possible to TradingLatino chart. ZIGNALY INTEGRATION This strategy supports Zignaly email integration by default. It also supports Zignaly Webhook integration. ZIGNALY INTEGRATION - Email integration example What you would write in your alert message: ||{{strategy.order.alert_message}}||key=MYSECRETKEY|| ZIGNALY INTEGRATION - Webhook integration example What you would write in your alert message: { {{strategy.order.alert_message}} , "key" : "MYSECRETKEY" } CREDITS I have reused and adapted some code from 'Directional Movement Index + ADX & Keylevel Support' study which it's from TradingView console user. I have reused and adapted some code from '3ema' study which it's from TradingView hunganhnguyen1193 user. I have reused and adapted some code from 'Squeeze Momentum Indicator ' study which it's from TradingView LazyBear user. I have reused and adapted some code from 'Strategy Tester EMA-SMA-RSI-MACD' study which it's from TradingView fikira user. I have reused and adapted some code from 'Support Resistance MTF' study which it's from TradingView LonesomeTheBlue user. I have reused and adapted some code from 'TF Segmented Linear Regression' study which it's from TradingView alexgrover user. I have reused and adapted some code from "Poor man's volume profile" study which it's from TradingView IldarAkhmetgaleev user. FEEDBACK Please check the strategy source code for more detailed information where, among others, I explain all of the substrats and if they are implemented or not. Q1. Did I understand wrong any of the Jaime substrats (which I have implemented)? Q2. The strategy yields quite profit when we should long (EMA10 from 1d timeframe is higher than EMA55 from 1d timeframe. Why the strategy yields much less profit when we should short (EMA10 from 1d timeframe is lower than EMA55 from 1d timeframe)? Any idea if you need to do something else rather than just reverse what Jaime does when longing? FREQUENTLY ASKED QUESTIONS FAQ1. Why are you giving this strategy for free? TradingLatino and his fellow enthusiasts taught me this strategy. Now I'm giving back to them. FAQ2. Seriously! Why are you giving this strategy for free? I'm confident his strategy might be improved a lot. By keeping it to myself I would avoid other people contributions to improve it. Now that everyone can contribute this is a win-win. FAQ3. How can I connect this strategy to my Exchange account? It seems that you can attach alerts to strategies. You might want to combine it with a paying account which enable Webhook URLs to work. I don't know how all of this works right now so I cannot give you advice on it. You will have to do your own research on this subject. But, be careful. Automating trades, if not done properly, might end on you automating losses. FAQ4. I have just found that this strategy by default gives more than 3.97% of 'maximum series of losses'. That's unacceptable according to my risk management policy. You might want to reduce default stop loss setting from 7% to something like 5% till you are ok with the 'maximum series of losses'. FAQ5. Where can I learn more about your work on this strategy? Check the source code. You might find unused strategies. Either because there's not a substantial increases on earnings. Or maybe because they have not been implemented yet. FAQ6. How much leverage is applied in this strategy? No leverage. FAQ7. Any difference with original Jaime Merino strategy? Most of the times Jaime defines an stop loss at the price entry. That's not the case here. The default stop loss is 7% (but, don't be confused it only means losing 1% of your investment thanks to risk management). There's also a trailing take profit that triggers at 2% profit with a 1% trailing. FAQ8. Why this strategy return is so small? The strategy should be improved a lot. And, well, backtesting in this platform is not guaranteed to return theoric results comparable to real-life returns. That's why I'm personally forward testing this strategy to verify it. MENSAJE EN CASTELLANO En primer lugar se agradece feedback para mejorar la estrategia. Si eres un usuario avanzado y quieres colaborar en mejorar el script no dudes en comentar abajo. Ten en cuenta que aunque toda esta descripción tenga que estar en inglés no es obligatorio que el comentario esté en inglés. CHISTE - CASTELLANO ¡Pero Jaime! ¡400.000! ¡Tu da mun!
Strategia Pine Script®
di ruckard
28
Average Directional Index with MACombining the Average Directional Index (ADX) with a 14-period Exponential Moving Average (EMA) can provide traders with a comprehensive approach to identify both the strength of a trend (through ADX) and the trend's direction (using EMA). Let's break down each component and then discuss how they can be combined: Average Directional Index (ADX): The ADX is a technical indicator that measures the strength or momentum of a trend, regardless of its direction. The ADX is derived from two other indicators: Positive Directional Index (+DI): Measures the strength of upward price movement. Negative Directional Index (-DI): Measures the strength of downward price movement. 14-period Exponential Moving Average (EMA): The 14-period EMA is a trend-following indicator that gives more weight to recent price data compared to simple moving averages (SMAs). The EMA is calculated by taking the average of the last 14 closing prices, giving more importance to the most recent prices. Combining ADX and EMA: When combining ADX with a 14-period EMA: ADX as a Filter: Traders might use the ADX to filter out trades when the trend's strength is weak (e.g., ADX below 25) to avoid trading in sideways or choppy markets. EMA for Trend Direction: Traders can use the 14-period EMA to determine the trend direction. A price above the 14-period EMA might indicate an uptrend, while a price below the EMA might suggest a downtrend. Example Strategy: Here's a simplified trading strategy combining ADX and EMA: Trend Identification: Buy when the price is above the 14-period EMA and the ADX indicates a strong uptrend (e.g., ADX > 25). Sell or go short when the price is below the 14-period EMA and the ADX indicates a strong downtrend (e.g., ADX > 25). Avoid Choppy Markets: Avoid trading when the ADX is below a certain threshold (e.g., ADX < 25) to filter out sideways or range-bound markets. Combining ADX and a 14-period EMA can provide traders with a balanced approach to identify both the strength and direction of a trend. However, it's essential to remember that no indicator or strategy can guarantee profits, and it's crucial to use risk management techniques and other tools to make informed trading decisions. Consider back testing this strategy on historical data and adjusting the parameters based on their trading style and risk tolerance.
Indicatore Pine Script®
di CaptCri5tian
Ultimate Scalping Tool[BullByte]Overview The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators. Core Components Quantum Flux Candle (QFC) Construction The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own. Oscillator Normalization & Adaptive Weights The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale). Trend/Momentum/Volume/Volatility Fusion Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength. Signal Classification The script interprets the QFC oscillator to label trades. For example: • Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend. • Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal. • Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow. These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion). Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX) Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.) Dashboard Metrics & Color Logic The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences. 1. Dashboard Layout & Customization Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input. Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input. Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script. 2. Key Metrics Displayed The dashboard presents critical trading metrics in a structured table format: Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) . Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds. Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator. Basic & Advanced Signals: Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade). Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts. RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions. HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter. VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it. ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red). Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom). Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**. 3. Filters Status Panel A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals: - DI Reversal Filter: On/Off (confirms reversals before generating signals). - Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility). - Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility). - Early Signal: On/Off (enables early momentum-based signals). - Leading HTF Filter: On/Off (applies higher timeframe trend confirmation). 4. Visual Enhancements Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation. Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends. Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator. How It(QFC) Differs from Traditional Indicators Quantum Flux Candle (QFC) Versus Heikin-Ashi Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart. Versus Standard Oscillators Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one. Signal Style Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code. Key Term Definitions • Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.) • Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting. • Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade. • Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended. What is the Flux MA? The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish. How it’s calculated (Flux MA): 1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0). 2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods). 3.The result is rescaled back to the oscillator’s original range for plotting. Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts. Color of the Flux Candle The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means: • Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward. • Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward. • Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long. • Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short. The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions. How to Trade the Flux MA with Respect to the Candle Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide: 1. Identify the Trend Direction • Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum. • Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum. The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure. 2. Interpret Candle Colors for Trade Signals • Green Candle : General bullish momentum. Consider entering or holding a long position. • Red Candle : General bearish momentum. Consider entering or holding a short position. • Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade. • Purple Candle : A strong sell signal. This is an ideal time to enter a short trade. 3. Enter Trades Based on Crossovers and Colors • Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long. • Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short. 4. Exit Trades • Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing. • Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing. •You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal). 5. Use Additional Confirmation To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example: •A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal. •A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting. Practical Example Imagine you’re scalping a cryptocurrency: • Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA. • Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA. Market Presets and Adaptation This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type. Usage Guidelines • Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings. • Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs. • Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability. • Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger. • Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands. Background Shading To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark): Neutral (Gray) When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands. Bullish (Green) As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight. Bearish (Red) Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30. By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions. The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference. Disclaimer No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders. Good luck! - BullByte
Indicatore Pine Script®
di BullByte
23
Relative Directional Index (RDI)🔍 Overview The Relative Directional Index (RDI) is a hybrid tool that fuses the Average Directional and the Relative Strength Indices (ADX and RSI) into a single, highly visual interface. While the former captures trend strength, the latter reveals momentum shifts and potential exhaustion. Together, they can confirm trend structure, anticipate reversals, and sharpen the timing entries and exits. 📌 Why Combine ADX with RSI? Most indicators focus on either trend-following (like ADX) or momentum detection (like RSI)—but rarely both. Each comes with trade-offs: - ADX alone confirms trend strength but ignores momentum. - RSI alone signals overbought/oversold, but lacks trend context. The RDI resolves this by integrating both, offering: - Smarter filters for trend entries - Early warnings of momentum breakdowns - More confident signal validation 🧠 Design Note: Fibonacci Harmony All default values—5, 13, 21—are Fibonacci numbers. This is intentional, as these values reflect the natural rhythm of market cycles, and promote harmonic calibration between price action and indicator logic. 🔥 Key Features ✅ ADX Histogram - Green bars = trend gaining strength - Red bars = trend weakening - Adjustable transparency for visual tuning ✅ ADX Line (Orange) - Measures trend strength over time - Rising = accelerating trend - Falling = trend may be fading ✅ RSI Line (Lemon Yellow) - Captures momentum surges and slowdowns - Above 50 = bullish control - Below 50 = bearish pressure ✅ Trend Strength Squares - Bright green = strong uptrend - Bright red = strong downtrend - Faded colors = range-bound or indecisive ✅ ADX/RSI Crossover Markers - Yellow square = RSI crosses above ADX → momentum building - Orange square = ADX crosses above RSI → trend still dominant ✅ Customizable Reference Lines - Yellow (50) = strong trend threshold - Red (30) = weak trend zone - Green (70) = overextended, potential exhaustion _______________________________________________________ 🎯 How to Trade with the RDI The RDI helps traders identify momentum-supported trends, catch early reversals, and avoid false signals during consolidation. ✅ Trend Confirmation Entries 🔼 Bullish → Enter long on pullbacks or resistance breakouts - ADX rising above 30 - RSI above 50 - Green trend square visible 🔽 Bearish → Enter short on breakdowns or failed retests - ADX rising - RSI below 50 - Red trend square visible 🧯 Exit if RSI crosses back against trend direction or ADX flattens 🚨 Reversal Setups Using Divergence 📈 Bullish Divergence → Long entry after confirmation (e.g. engulfing bar, volume spike) - Price prints lower low - RSI prints higher low - Green triangle 📉 Bearish Divergence → Short entry on breakdown - Price prints higher high - RSI prints lower high - Red triangle Tip: Stronger if ADX is declining (fading trend strength) 🔂 Breakout Detection via Cross Markers - Yellow square = RSI > ADX → breakout brewing - Orange square = ADX > RSI → trend continuation likely ⏸️ Avoid Choppy Markets - RSI between 45–55 - Faded trend squares - Flat ADX below 20–30 🧠 Pro Tips - Combine RDI with VWAPs, moving averages and/or pitchforks - Watch for alignment between trend and momentum - Use divergence markers as confirmation, not stand-alone triggers _______________________________________________________ ⚠️ Hidden Divergence (Optional) The RDI includes optional hidden divergence detection. These signals suggest trend continuation but are off by default. Use with discretion—best in established trends, not sideways markets. 🙈 Hidden Bullish - Price prints higher low - RSI prints lower low 🙈 Hidden Bearish - Price prints lower high - RSI prints higher high
Indicatore Pine Script®
di TheLeadingIndicator
NP Screener with Alerts For Nifty 50 [NITIN PADALE]//@version=6 indicator('NP Screener with Alerts For Nifty 50 ', overlay = true) //////////// // INPUTS // filter_enabled = input.bool(false, '', group = 'Filter', inline = 'Filter') filter_column = input.string('Price', title = 'Column', options = , group = 'Filter', inline = 'Filter') filter_from = input.float(-9999999, 'From', group = 'Filter', inline = 'Filter') filter_to = input.float(9999999, 'To', group = 'Filter', inline = 'Filter') // SMA rsi_len = input.int(14, title = 'RSI Length', group = 'Indicators') rsi_os = input.float(30, title = 'RSI Overbought', group = 'Indicators') rsi_ob = input.float(70, title = 'RSI Oversold', group = 'Indicators') // TSI tsi_long_len = input.int(25, title = 'TSI Long Length', group = 'Indicators') tsi_shrt_len = input.int(13, title = 'TSI Short Length', group = 'Indicators') tsi_ob = input.float(30, title = 'TSI Overbought', group = 'Indicators') tsi_os = input.float(-30, title = 'TSI Oversold', group = 'Indicators') // ADX Params adx_smooth = input.int(14, title = 'ADX Smoothing', group = 'Indicators') adx_dilen = input.int(14, title = 'ADX DI Length', group = 'Indicators') adx_level = input.float(40, title = 'ADX Level', group = 'Indicators') // SuperTrend sup_atr_len = input.int(10, 'Supertrend ATR Length', group = 'Indicators') sup_factor = input.float(3.0, 'Supertrend Factor', group = 'Indicators') ///////////// // SYMBOLS // u01 = input.bool(true, title = '', group = 'Symbols', inline = 's01') u02 = input.bool(true, title = '', group = 'Symbols', inline = 's02') u03 = input.bool(true, title = '', group = 'Symbols', inline = 's03') u04 = input.bool(true, title = '', group = 'Symbols', inline = 's04') u05 = input.bool(true, title = '', group = 'Symbols', inline = 's05') u06 = input.bool(true, title = '', group = 'Symbols', inline = 's06') u07 = input.bool(true, title = '', group = 'Symbols', inline = 's07') u08 = input.bool(true, title = '', group = 'Symbols', inline = 's08') u09 = input.bool(true, title = '', group = 'Symbols', inline = 's09') u10 = input.bool(true, title = '', group = 'Symbols', inline = 's10') s01 = input.symbol('HDFCBANK', group = 'Symbols', inline = 's01') s02 = input.symbol('ICICIBANK', group = 'Symbols', inline = 's02') s03 = input.symbol('RELIANCE', group = 'Symbols', inline = 's03') s04 = input.symbol('INFY', group = 'Symbols', inline = 's04') s05 = input.symbol('BHARTIARTL', group = 'Symbols', inline = 's05') s06 = input.symbol('LT', group = 'Symbols', inline = 's06') s07 = input.symbol('ITC', group = 'Symbols', inline = 's07') s08 = input.symbol('TCS', group = 'Symbols', inline = 's08') s09 = input.symbol('AXISBANK', group = 'Symbols', inline = 's09') s10 = input.symbol('SBIN', group = 'Symbols', inline = 's10') ////////////////// // CALCULATIONS // filt_col_id = switch filter_column 'Price' => 1 'RSI' => 2 'TSI' => 3 'ADX' => 4 'SuperTrend' => 5 => 0 // Get only symbol only_symbol(s) => array.get(str.split(s, ':'), 1) id_symbol(s) => switch s 1 => only_symbol(s01) 2 => only_symbol(s02) 3 => only_symbol(s03) 4 => only_symbol(s04) 5 => only_symbol(s05) 6 => only_symbol(s06) 7 => only_symbol(s07) 8 => only_symbol(s08) 9 => only_symbol(s09) 10 => only_symbol(s10) => na // for TSI double_smooth(src, long, short) => fist_smooth = ta.ema(src, long) ta.ema(fist_smooth, short) // ADX dirmov(len) => up = ta.change(high) down = -ta.change(low) plusDM = na(up) ? na : up > down and up > 0 ? up : 0 minusDM = na(down) ? na : down > up and down > 0 ? down : 0 truerange = ta.rma(ta.tr, len) plus = fixnan(100 * ta.rma(plusDM, len) / truerange) minus = fixnan(100 * ta.rma(minusDM, len) / truerange) adx_func(dilen, adxlen) => = dirmov(dilen) sum = plus + minus adx = 100 * ta.rma(math.abs(plus - minus) / (sum == 0 ? 1 : sum), adxlen) adx screener_func() => // RSI rsi = ta.rsi(close, rsi_len) // TSI pc = ta.change(close) double_smoothed_pc = double_smooth(pc, tsi_long_len, tsi_shrt_len) double_smoothed_abs_pc = double_smooth(math.abs(pc), tsi_long_len, tsi_shrt_len) tsi = 100 * (double_smoothed_pc / double_smoothed_abs_pc) // ADX adx = adx_func(adx_dilen, adx_smooth) // Supertrend = ta.supertrend(sup_factor, sup_atr_len) // Set Up Matrix screenerMtx = matrix.new(0, 6, na) screenerFun(numSym, sym, flg) => = request.security(sym, timeframe.period, screener_func()) arr = array.from(numSym, cl, rsi, tsi, adx, sup) if flg matrix.add_row(screenerMtx, matrix.rows(screenerMtx), arr) // Security call screenerFun(01, s01, u01) screenerFun(02, s02, u02) screenerFun(03, s03, u03) screenerFun(04, s04, u04) screenerFun(05, s05, u05) screenerFun(06, s06, u06) screenerFun(07, s07, u07) screenerFun(08, s08, u08) screenerFun(09, s09, u09) screenerFun(10, s10, u10) /////////// // PLOTS // var tbl = table.new(position.top_right, 6, 41, frame_color = #151715, frame_width = 1, border_width = 2, border_color = color.new(color.white, 100)) log.info(str.tostring(filt_col_id)) alert_msg = '' if barstate.islast table.clear(tbl, 0, 0, 5, 40) table.cell(tbl, 0, 0, 'Symbol', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small) table.cell(tbl, 1, 0, 'Price', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small) table.cell(tbl, 2, 0, 'RSI', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small) table.cell(tbl, 3, 0, 'TSI', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small) table.cell(tbl, 4, 0, 'ADX', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small) table.cell(tbl, 5, 0, 'Supertrend', text_halign = text.align_center, bgcolor = color.gray, text_color = color.white, text_size = size.small) if matrix.rows(screenerMtx) > 0 for i = 0 to matrix.rows(screenerMtx) - 1 by 1 is_filt = not filter_enabled or matrix.get(screenerMtx, i, filt_col_id) >= filter_from and matrix.get(screenerMtx, i, filt_col_id) <= filter_to if is_filt if str.length(alert_msg) > 0 alert_msg := alert_msg + ',' alert_msg alert_msg := alert_msg + id_symbol(matrix.get(screenerMtx, i, 0)) rsi_col = matrix.get(screenerMtx, i, 2) > rsi_ob ? color.red : matrix.get(screenerMtx, i, 2) < rsi_os ? color.green : #aaaaaa tsi_col = matrix.get(screenerMtx, i, 3) > tsi_ob ? color.red : matrix.get(screenerMtx, i, 3) < tsi_os ? color.green : #aaaaaa adx_col = matrix.get(screenerMtx, i, 4) > adx_level ? color.green : #aaaaaa sup_text = matrix.get(screenerMtx, i, 5) > 0 ? 'Down' : 'Up' sup_col = matrix.get(screenerMtx, i, 5) < 0 ? color.green : color.red table.cell(tbl, 0, i + 1, id_symbol(matrix.get(screenerMtx, i, 0)), text_halign = text.align_left, bgcolor = color.gray, text_color = color.white, text_size = size.small) table.cell(tbl, 1, i + 1, str.tostring(matrix.get(screenerMtx, i, 1)), text_halign = text.align_center, bgcolor = #aaaaaa, text_color = color.white, text_size = size.small) table.cell(tbl, 2, i + 1, str.tostring(matrix.get(screenerMtx, i, 2), '#.##'), text_halign = text.align_center, bgcolor = rsi_col, text_color = color.white, text_size = size.small) table.cell(tbl, 3, i + 1, str.tostring(matrix.get(screenerMtx, i, 3), '#.##'), text_halign = text.align_center, bgcolor = tsi_col, text_color = color.white, text_size = size.small) table.cell(tbl, 4, i + 1, str.tostring(matrix.get(screenerMtx, i, 4), '#.##'), text_halign = text.align_center, bgcolor = adx_col, text_color = color.white, text_size = size.small) table.cell(tbl, 5, i + 1, sup_text, text_halign = text.align_center, bgcolor = sup_col, text_color = color.white, text_size = size.small) if str.length(alert_msg) > 0 alert(alert_msg, freq = alert.freq_once_per_bar_close)
Indicatore Pine Script®
di shaileshGole