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Price Change Scalping Strategy v1.0 - 3Commas EditionIntroduction This strategy implements the Price Change Scalping (PCS) strategy specifically for the 3Commas platform. The Input settings have been redesigned to match the same inputs as the 3Commas My Bot Settings page. Only the "Deal Start Condition" section will echo the required PCS-related settings found in the original Price Change Scalping Strategy v1.0 to successfully implement the strategy. The strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up. How is it original and useful? This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements the "Start Deal" and "Close Deal" alerts for you to integrate with 3Comma's "Trading View Custom Signal" start condition. Both script versions will provide the same configuration abilities. The following list is a brief description of its usefulness: Full support for all possible 3Commas bot settings. Define a short or long trading strategy. Price change data source and offset settings. Your layering placement relative to the entry price. Your trading parameters like take profit and stop loss offsets, trailing take profit support, exchange commission rates, trading start time, and order size multiplication for each layer. Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading. The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization. The visibility of detailed Used Amount for Each Step table that details how each layer will be allocated for trading. How does it compare to other scripts in the Public Library? The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will implement the latest alert framework called "Any Alert() Function" where you can create a single alert to handle multiple events, which include: Deal Start Deal Close Strategy Results The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 3.4881% of the equity for the Base Order Size, 4.7097% of equity for the first Safety Order Size. The Maximum Safety Trade Count is 7 with a Safety Order Volume Scale of 1.33, and a take profit of 2% with no stop loss. All other settings are defaults. It is recommended that the indicator be "tuned" for your specific market to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typically takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart. Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol. Enjoy! 😊👍 How to obtain access to the script? You have two choices: Use the "Website" link below to obtain access to this indicator, or Send us a private message (PM) in TradingView itself.
Estratégia Pine Script®
por prosum_solutions
29
Price Change Scalping Strategy v1.0Introduction This strategy uses a price rate of change (ROC) momentum calculation to determine the percent change in price between a defined range of bars. The calculated ROC value is then compared to the Upper Threshold and Lower Threshold values to determine if a trade setup is to be activated. If the threshold is crossed, a trade setup will occur based on the indicator settings. Entry, Take Profit, and Stop Loss prices are calculated and displayed on the chart. Once the Entry Price is crossed, a long or short position is created (depending on the direction) and once the Take Profit price is crossed, the position is closed. If the Entry Price is not crossed within a specific number of bars, the trade setup is canceled, and it will proceed to monitor price changes for the next set up. How is it original and useful? This strategy is unique in that the strategy version fully supports the TradingView backtester, which will enable you to perform experiments with various settings to evaluate performance using the historical chart data. The study version implements numerous custom alerts for you to build TradingView notifications around specific price action events and stay informed with market activity in real-time. Both script versions will provide the same configuration abilities where you can define: Define a short or long trading strategy. Price change data source and offset settings. Your layering placement relative to the entry price. Your trading parameters like take profit and stop loss offsets, exchange commission rates, trading start time, and order size multiplication for each layer. Flexible trade eligibility rules that can use other chart indicators, like RSI or EMA, to exclude the selection of entry prices for trading. The visibility of detailed statistics from the chart history pertaining to trading sessions started and closed, session durations, win rate, price action drops and bounces, as well as layer utilization. How does it compare to other scripts in the Public Library? The strategy offers a very detailed, comprehensive settings to address all types of markets found on TradingView where you can implement the price change scalping strategy. The strategy version can be considered the first of its kind on TradingView to leverage the backtester to provide informative, detailed performance measurements surrounding this unique trading strategy. The study version will contain numerous custom alerts to aid in your notification preferences and stay informed on the indicator's activities: Price Crossed Above Threshold Price Crossed Below Threshold Enter Long Position Exit Long Position Enter Short Position Exit Short Position Price Crossed DCA Layer 1 (Long) Price Crossed DCA Layer 2 (Long) Price Crossed DCA Layer 3 (Long) Price Crossed DCA Layer 4 (Long) Price Crossed DCA Layer 5 (Long) Price Crossed DCA Layer 6 (Long) Price Crossed DCA Layer 7 (Long) Price Crossed DCA Layer 8 (Long) Price Crossed DCA Layer 1 (Short) Price Crossed DCA Layer 2 (Short) Price Crossed DCA Layer 3 (Short) Price Crossed DCA Layer 4 (Short) Price Crossed DCA Layer 5 (Short) Price Crossed DCA Layer 6 (Short) Price Crossed DCA Layer 7 (Short) Price Crossed DCA Layer 8 (Short) Strategy Results The default settings are designed to define a "loose" price change settings to ensure that the indicator will render chart elements when first loaded as well as to allow the backtester to gather order executions and display performance summary. The strategy version is using $10,000 initial capital, a commission rate of 0.1% for both entries and exits, and a 1 tick slippage setting. It is also using 2.74506% of the equity with a Order Size Multiplier of 1.33, using 8 total DCA layers, and a take profit of 2% with no stop loss. All other settings are defaults. It is recommended that the indicator be "tuned" for your specific market in order to best implement the price change strategy and obtain better desirable results. You do so by scrolling through the chart's history and observing moments when prices tend to move rapidly. Measure the number or bars it typcially takes for the price to change at a specific rate. Using this information, you can adjust the Price Change Settings accordingly to configure the indicator for the chart. Always keep in mind that past performance may not be indicative of future results. Settings that seem favorable for one market may be found to be disastrous in another. Therefore, do take the time needed to understand how the settings will behave with the given chart symbol. Enjoy! 😊👍 How to obtain access to the script? You have two choices: Use the "Website" link below to obtain access to this indicator, or Send us a private message (PM) in TradingView itself.
Estratégia Pine Script®
por prosum_solutions
8
Hophop Reversion Strategy █  OVERVIEW Mean reversion is a financial term assuming that an asset's price will tend to converge to the average price over time. Due to the trending nature of the crypto markets, mean reversion on a high timeframe could be pretty dangerous. When it comes to running mean reversion strategy on low timeframe, commission and slippage may cost more than strategy gains. In this strategy, I tried to achieve being conservative in the trending market while avoiding trades if necessary and trading high probability reversion opportunities . █  CONCEPTS Strategy is build based on the combination of the momentum and the historical / implied volatility; when the price exceeds the potential volatility range, the strategy places the orders, and the target point is the mean of the expected range high and range low. The range low and high lines displayed on the chart shows where to short or long, to make sure that the orders are limit orders; orders are placed 0.5% above/below the ranges! Key information about the strategy  • All the orders are limit entry  • 0.02% commission is included in the backtest  • 30 ticks set for Verify Price Limit for Orders  • 30 ticks set for Slippage  • Initial version does not include the money management and hard stops hence you need to be extra cautious in trending markets  • Restricted to be used for BTC and ETH for 15 min timeframe █  Ozet Ortalamaya dönme, bir varlığın fiyatının zaman içinde ortalama fiyata yakınsama eğiliminde olacağını varsayan bir finansal terimdir. Kripto piyasalarının trend egilimli doğası nedeniyle, yüksek zaman diliminde ortalamaya dönüş oldukça tehlikeli olabilir. Ortalama geri dönüş stratejisini düşük zaman diliminde calistirmak söz konusu olduğunda, komisyon ve kayma, strateji kazanımlarından daha pahalıya mal olabilir. Bu stratejide, gerektiğinde alım satımlardan kaçınırken ve yüksek olasılıklı ortalamaya dönüş fırsatlarını degerlendiren, trend olan piyasada ise isleme girerken temkinli olmasi uzerine calistim █  Aciklama Strateji, momentum ve tarihsel / zımni oynaklığın birleşimine dayalı olarak inşa edilmistir; fiyat potansiyel oynaklık aralığını aştığında, strateji emirleri verir ve hedef nokta, beklenen yüksek aralığın ve düşük aralığın ortalamasıdır. Grafikte görüntülenen aralık alt ve üst satırları, Stratejiye ait onemli bilgiler/b]  • Tüm emirler limit emirdir girişlidir  • Backtest performansinda %0.02 komisyon dahildir  • Limit Emir fiyat dogrulamasi icin 30 tick bekleme kullanilmistir  • Slippage için 30 tick bekleme kullanilmistir  • İlk sürüm para yönetimini ve stoploss içermez, bu nedenle trend olan piyasalarda ekstra dikkatli olmanız gerekir.  • 15 dakikalık zaman dilimi ile BTC ve ETH için kullanımla sınırlıdır Emirlerin limit emir olduğundan emin olmak için nerede short veya long isleme girilecegini gosteren cizgilerin %0.5 üstünde/altında verilir!
Estratégia Pine Script®
por hophop
5
MACD + DMI Scalping with Volatility Stop by (Coinrule)Trend-following strategies are cool because they allow you to catch potential high returns. The main limit of such strategies are: False signals > the asset is not experiencing a strong trend. The strategy gets stuck with a sideways move or, worst, with the beginning of a downtrend. The sell signal may come later than the actual top, leading in some cases to turn a trade in profit into a loss. This strategy tries to address these limitations to develop a trading system that optimises the entry and closes trade once the profit achieves a pre-set level. ENTRY The trading system uses the MACD and the DMI to confirm when is the best time for buying. Combining these two indicators prevents trading during downtrends and reduces the likelihood of getting stuck in a market with low volatility. The system confirms the entry when: The MACD histogram turns bullish. When the positive DMI is greater than the negative DMI, there are more chances that the asset is trading in a sustained uptrend. EXIT The strategy comes with a fixed take profit combined with a volatility stop, which acts as a trailing stop to adapt to the trend's strength. Depending on your long term confidence in the asset, you can edit the fixed take profit to be more conservative or aggressive. The position is closed when: The price increases by 3% The price crosses below the volatility stop. The best time frame for this strategy based on our backtest is the 3-hr . The 4-hr can work well. In general, this approach suits medium to long term strategies The strategy assumes each order to trade 30% of the available capital to make the results more realistic. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Estratégia Pine Script®
por Coinrule
1
Webhook Starter Kit [HullBuster] Introduction This is an open source strategy which provides a framework for webhook enabled projects. It is designed to work out-of-the-box on any instrument triggering on an intraday bar interval. This is a full featured script with an emphasis on actual trading at a brokerage through the TradingView alert mechanism and without requiring browser plugins. The source code is written in a self documenting style with clearly defined sections. The sections “communicate” with each other through state variables making it easy for the strategy to evolve and improve. This is an excellent place for Pine Language beginners to start their strategy building journey. The script exhibits many Pine Language features which will certainly ad power to your script building abilities. This script employs a basic trend follow strategy utilizing a forward pyramiding technique. Trend detection is implemented through the use of two higher time frame series. The market entry setup is a Simple Moving Average crossover. Positions exit by passing through conditional take profit logic. The script creates ten indicators including a Zscore oscillator to measure support and resistance levels. The indicator parameters are exposed through 47 strategy inputs segregated into seven sections. All of the inputs are equipped with detailed tool tips to help you get started. To improve the transition from simulation to execution, strategy.entry and strategy.exit calls show enhanced message text with embedded keywords that are combined with the TradingView placeholders at alert time. Thereby, enabling a single JSON message to generate multiple execution events. This is genius stuff from the Pine Language development team. Really excellent work! This document provides a sample alert message that can be applied to this script with relatively little modification. Without altering the code, the strategy inputs can alter the behavior to generate thousands of orders or simply a few dozen. It can be applied to crypto, stocks or forex instruments. A good way to look at this script is as a webhook lab that can aid in the development of your own endpoint processor, impress your co-workers and have hours of fun. By no means is a webhook required or even necessary to benefit from this script. The setups, exits, trend detection, pyramids and DCA algorithms can be easily replaced with more sophisticated versions. The modular design of the script logic allows you to incrementally learn and advance this script into a functional trading system that you can be proud of. Design This is a trend following strategy that enters long above the trend line and short below. There are five trend lines that are visible by default but can be turned off in Section 7. Identified, in frequency order, as follows: 1. - EMA in the chart time frame. Intended to track price pressure. Configured in Section 3. 2. - ALMA in the higher time frame specified in Section 2 Signal Line Period. 3. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 4. - Linear Regression in the higher time frame specified in Section 2 Signal Line Period. 5. - DEMA in the higher time frame specified in Section 2 Trend Line Period. The Blue, Green and Orange lines are signal lines are on the same time frame. The time frame selected should be at least five times greater than the chart time frame. The Purple line represents the trend line for which prices above the line suggest a rising market and prices below a falling market. The time frame selected for the trend should be at least five times greater than the signal lines. Three oscillators are created as follows: 1. Stochastic - In the chart time frame. Used to enter forward pyramids. 2. Stochastic - In the Trend period. Used to detect exit conditions. 3. Zscore - In the Signal period. Used to detect exit conditions. The Stochastics are configured identically other than the time frame. The period is set in Section 2. Two Simple Moving Averages provide the trade entry conditions in the form of a crossover. Crossing up is a long entry and down is a short. This is in fact the same setup you get when you select a basic strategy from the Pine editor. The crossovers are configured in Section 3. You can see where the crosses are occurring by enabling Show Entry Regions in Section 7. The script has the capacity for pyramids and DCA. Forward pyramids are enabled by setting the Pyramid properties tab with a non zero value. In this case add on trades will enter the market on dips above the position open price. This process will continue until the trade exits. Downward pyramids are available in Crypto and Range mode only. In this case add on trades are placed below the entry price in the drawdown space until the stop is hit. To enable downward pyramids set the Pyramid Minimum Span In Section 1 to a non zero value. This implementation of Dollar Cost Averaging (DCA) triggers off consecutive losses. Each loss in a run increments a sequence number. The position size is increased as a multiple of this sequence. When the position eventually closes at a profit the sequence is reset. DCA is enabled by setting the Maximum DCA Increments In Section 1 to a non zero value. It should be noted that the pyramid and DCA features are implemented using a rudimentary design and as such do not perform with the precision of my invite only scripts. They are intended as a feature to stress test your webhook endpoint. As is, you will need to buttress the logic for it to be part of an automated trading system. It is for this reason that I did not apply a Martingale algorithm to this pyramid implementation. But, hey, it’s an open source script so there is plenty of room for learning and your own experimentation. How does it work The overall behavior of the script is governed by the Trading Mode selection in Section 1. It is the very first input so you should think about what behavior you intend for this strategy at the onset of the configuration. As previously discussed, this script is designed to be a trend follower. The trend being defined as where the purple line is predominately heading. In BiDir mode, SMA crossovers above the purple line will open long positions and crosses below the line will open short. If pyramiding is enabled add on trades will accumulate on dips above the entry price. The value applied to the Minimum Profit input in Section 1 establishes the threshold for a profitable exit. This is not a hard number exit. The conditional exit logic must be satisfied in order to permit the trade to close. This is where the effort put into the indicator calibration is realized. There are four ways the trade can exit at a profit: 1. Natural exit. When the blue line crosses the green line the trade will close. For a long position the blue line must cross under the green line (downward). For a short the blue must cross over the green (upward). 2. Alma / Linear Regression event. The distance the blue line is from the green and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 6 and relies on the period and length set in Section 2. A long position will exit on an upward thrust which exceeds the activation threshold. A short will exit on a downward thrust. 3. Exponential event. The distance the yellow line is from the blue and the relative speed the cross is experiencing determines this event. The activation thresholds are set in Section 3 and relies on the period and length set in the same section. 4. Stochastic event. The purple line stochastic is used to measure overbought and over sold levels with regard to position exits. Signal line positions combined with a reading over 80 signals a long profit exit. Similarly, readings below 20 signal a short profit exit. Another, optional, way to exit a position is by Bale Out. You can enable this feature in Section 1. This is a handy way to reduce the risk when carrying a large pyramid stack. Instead of waiting for the entire position to recover we exit early (bale out) as soon as the profit value has doubled. There are lots of ways to implement a bale out but the method I used here provides a succinct example. Feel free to improve on it if you like. To see where the Bale Outs occur, enable Show Bale Outs in Section 7. Red labels are rendered below each exit point on the chart. There are seven selectable Trading Modes available from the drop down in Section 1: 1. Long - Uses the strategy.risk.allow_entry_in to execute long only trades. You will still see shorts on the chart. 2. Short - Uses the strategy.risk.allow_entry_in to execute short only trades. You will still see long trades on the chart. 3. BiDir - This mode is for margin trading with a stop. If a long position was initiated above the trend line and the price has now fallen below the trend, the position will be reversed after the stop is hit. Forward pyramiding is available in this mode if you set the Pyramiding value in the Properties tab. DCA can also be activated. 4. Flip Flop - This is a bidirectional trading mode that automatically reverses on a trend line crossover. This is distinctively different from BiDir since you will get a reversal even without a stop which is advantageous in non-margin trading. 5. Crypto - This mode is for crypto trading where you are buying the coins outright. In this case you likely want to accumulate coins on a crash. Especially, when all the news outlets are talking about the end of Bitcoin and you see nice deep valleys on the chart. Certainly, under these conditions, the market will be well below the purple line. No margin so you can’t go short. Downward pyramids are enabled for Crypto mode when two conditions are met. First the Pyramiding value in the Properties tab must be non zero. Second the Pyramid Minimum Span in Section 1 must be non zero. 6. Range - This is a counter trend trading mode. Longs are entered below the purple trend line and shorts above. Useful when you want to test your webhook in a market where the trend line is bisecting the signal line series. Remember that this strategy is a trend follower. It’s going to get chopped out in a range bound market. By turning on the Range mode you will at least see profitable trades while stuck in the range. However, when the market eventually picks a direction, this mode will sustain losses. This range trading mode is a rudimentary implementation that will need a lot of improvement if you want to create a reliable switch hitter (trend/range combo). 7. No Trade. Useful when setting up the trend lines and the entry and exit is not important. Once in the trade, long or short, the script tests the exit condition on every bar. If not a profitable exit then it checks if a pyramid is required. As mentioned earlier, the entry setups are quite primitive. Although they can easily be replaced by more sophisticated algorithms, what I really wanted to show is the diminished role of the position entry in the overall life of the trade. Professional traders spend much more time on the management of the trade beyond the market entry. While your trade entry is important, you can get in almost anywhere and still land a profitable exit. If DCA is enabled, the size of the position will increase in response to consecutive losses. The number of times the position can increase is limited by the number set in Maximum DCA Increments of Section 1. Once the position breaks the losing streak the trade size will return the default quantity set in the Properties tab. It should be noted that the Initial Capital amount set in the Properties tab does not affect the simulation in the same way as a real account. In reality, running out of money will certainly halt trading. In fact, your account would be frozen long before the last penny was committed to a trade. On the other hand, TradingView will keep running the simulation until the current bar even if your funds have been technically depleted. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that the endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Webhook Integration The TradingView alerts dialog provides a way to connect your script to an external system which could actually execute your trade. This is a fantastic feature that enables you to separate the data feed and technical analysis from the execution and reporting systems. Using this feature it is possible to create a fully automated trading system entirely on the cloud. Of course, there is some work to get it all going in a reliable fashion. Being a strategy type script place holders such as {{strategy.position_size}} can be embedded in the alert message text. There are more than 10 variables which can write internal script values into the message for delivery to the specified endpoint. Entry and exit use the strategy.entry and strategy.exit calls respectfully. The alert_message parameter has special keywords that my endpoint expects to properly calculate position size and message sequence. The alert message will embed these keywords in the JSON object through the {{strategy.order.alert_message}} placeholder. You should use whatever keywords are expected from the endpoint you intend to webhook in to. Here is an excerpt of the fields I use in my webhook signal: "broker_id": "kraken", "account_id": "XXX XXXX XXXX XXXX", "symbol_id": "XMRUSD", "action": "{{strategy.order.action}}", "strategy": "{{strategy.order.id}}", "lots": "{{strategy.order.contracts}}", "price": "{{strategy.order.price}}", "comment": "{{strategy.order.alert_message}}", "timestamp": "{{time}}" Though TradingView does a great job in dispatching your alert this feature does come with a few idiosyncrasies. Namely, a single transaction call in your script may cause multiple transmissions to the endpoint. If you are using placeholders each message describes part of the transaction sequence. A good example is closing a pyramid stack. Although the script makes a single strategy.close() call, the endpoint actually receives a close message for each pyramid trade. The broker, on the other hand, only requires a single close. The incongruity of this situation is exacerbated by the possibility of messages being received out of sequence. Depending on the type of order designated in the message, a close or a reversal. This could have a disastrous effect on your live account. This broker simulator has no idea what is actually going on at your real account. Its just doing the job of running the simulation and sending out the computed results. If your TradingView simulation falls out of alignment with the actual trading account lots of really bad things could happen. Like your script thinks your are currently long but the account is actually short. Reversals from this point forward will always be wrong with no one the wiser. Human intervention will be required to restore congruence. But how does anyone find out this is occurring? In closed systems engineering this is known as entropy. In practice your webhook logic should be robust enough to detect these conditions. Be generous with the placeholder usage and give the webhook code plenty of information to compare states. Both issuer and receiver. Don’t blindly commit incoming signals without verifying system integrity. Setup The following steps provide a very brief set of instructions that will get you started on your first configuration. After you’ve gone through the process a couple of times, you won’t need these anymore. It’s really a simple script after all. I have several example configurations that I used to create the performance charts shown. I can share them with you if you like. Of course, if you’ve modified the code then these steps are probably obsolete. There are 47 inputs divided into seven sections. For the most part, the configuration process is designed to flow from top to bottom. Handy, tool tips are available on every field to help get you through the initial setup. Step 1. Input the Base Currency and Order Size in the Properties tab. Set the Pyramiding value to zero. Step 2. Select the Trading Mode you intend to test with from the drop down in Section 1. I usually select No Trade until I’ve setup all of the trend lines, profit and stop levels. Step 3. Put in your Minimum Profit and Stop Loss in the first section. This is in pips or currency basis points (chart right side scale). Remember that the profit is taken as a conditional exit not a fixed limit. The actual profit taken will almost always be greater than the amount specified. The stop loss, on the other hand, is indeed a hard number which is executed by the TradingView broker simulator when the threshold is breached. Step 4. Apply the appropriate value to the Tick Scalar field in Section 1. This value is used to remove the pipette from the price. You can enable the Summary Report in Section 7 to see the TradingView minimum tick size of the current chart. Step 5. Apply the appropriate Price Normalizer value in Section 1. This value is used to normalize the instrument price for differential calculations. Basically, we want to increase the magnitude to significant digits to make the numbers more meaningful in comparisons. Though I have used many normalization techniques, I have always found this method to provide a simple and lightweight solution for less demanding applications. Most of the time the default value will be sufficient. The Tick Scalar and Price Normalizer value work together within a single calculation so changing either will affect all delta result values. Step 6. Turn on the trend line plots in Section 7. Then configure Section 2. Try to get the plots to show you what’s really happening not what you want to happen. The most important is the purple trend line. Select an interval and length that seem to identify where prices tend to go during non-consolidation periods. Remember that a natural exit is when the blue crosses the green line. Step 7. Enable Show Event Regions in Section 7. Then adjust Section 6. Blue background fills are spikes and red fills are plunging prices. These measurements should be hard to come by so you should see relatively few fills on the chart if you’ve set this up as intended. Section 6 includes the Zscore oscillator the state of which combines with the signal lines to detect statistically significant price movement. The Zscore is a zero based calculation with positive and negative magnitude readings. You want to input a reasonably large number slightly below the maximum amplitude seen on the chart. Both rise and fall inputs are entered as a positive real number. You can easily use my code to create a separate indicator if you want to see it in action. The default value is sufficient for most configurations. Step 8. Turn off Show Event Regions and enable Show Entry Regions in Section 7. Then adjust Section 3. This section contains two parts. The entry setup crossovers and EMA events. Adjust the crossovers first. That is the Fast Cross Length and Slow Cross Length. The frequency of your trades will be shown as blue and red fills. There should be a lot. Then turn off Show Event Regions and enable Display EMA Peaks. Adjust all the fields that have the word EMA. This is actually the yellow line on the chart. The blue and red fills should show much less than the crossovers but more than event fills shown in Step 7. Step 9. Change the Trading Mode to BiDir if you selected No Trades previously. Look on the chart and see where the trades are occurring. Make adjustments to the Minimum Profit and Stop Offset in Section 1 if necessary. Wider profits and stops reduce the trade frequency. Step 10. Go to Section 4 and 5 and make fine tuning adjustments to the long and short side. Example Settings To reproduce the performance shown on the chart please use the following configuration: (Bitcoin on the Kraken exchange) 1. Select XBTUSD Kraken as the chart symbol. 2. On the properties tab set the Order Size to: 0.01 Bitcoin 3. On the properties tab set the Pyramiding to: 12 4. In Section 1: Select “Crypto” for the Trading Model 5. In Section 1: Input 2000 for the Minimum Profit 6. In Section 1: Input 0 for the Stop Offset (No Stop) 7. In Section 1: Input 10 for the Tick Scalar 8. In Section 1: Input 1000 for the Price Normalizer 9. In Section 1: Input 2000 for the Pyramid Minimum Span 10. In Section 1: Check mark the Position Bale Out 11. In Section 2: Input 60 for the Signal Line Period 12. In Section 2: Input 1440 for the Trend Line Period 13. In Section 2: Input 5 for the Fast Alma Length 14. In Section 2: Input 22 for the Fast LinReg Length 15. In Section 2: Input 100 for the Slow LinReg Length 16. In Section 2: Input 90 for the Trend Line Length 17. In Section 2: Input 14 Stochastic Length 18. In Section 3: Input 9 Fast Cross Length 19. In Section 3: Input 24 Slow Cross Length 20. In Section 3: Input 8 Fast EMA Length 21. In Section 3: Input 10 Fast EMA Rise NetChg 22. In Section 3: Input 1 Fast EMA Rise ROC 23. In Section 3: Input 10 Fast EMA Fall NetChg 24. In Section 3: Input 1 Fast EMA Fall ROC 25. In Section 4: Check mark the Long Natural Exit 26. In Section 4: Check mark the Long Signal Exit 27. In Section 4: Check mark the Long Price Event Exit 28. In Section 4: Check mark the Long Stochastic Exit 29. In Section 5: Check mark the Short Natural Exit 30. In Section 5: Check mark the Short Signal Exit 31. In Section 5: Check mark the Short Price Event Exit 32. In Section 5: Check mark the Short Stochastic Exit 33. In Section 6: Input 120 Rise Event NetChg 34. In Section 6: Input 1 Rise Event ROC 35. In Section 6: Input 5 Min Above Zero ZScore 36. In Section 6: Input 120 Fall Event NetChg 37. In Section 6: Input 1 Fall Event ROC 38. In Section 6: Input 5 Min Below Zero ZScore In this configuration we are trading in long only mode and have enabled downward pyramiding. The purple trend line is based on the day (1440) period. The length is set at 90 days so it’s going to take a while for the trend line to alter course should this symbol decide to node dive for a prolonged amount of time. Your trades will still go long under those circumstances. Since downward accumulation is enabled, your position size will grow on the way down. The performance example is Bitcoin so we assume the trader is buying coins outright. That being the case we don’t need a stop since we will never receive a margin call. New buy signals will be generated when the price exceeds the magnitude and speed defined by the Event Net Change and Rate of Change. Feel free to PM me with any questions related to this script. Thank you and happy trading! CFTC RULE 4.41 These results are based on simulated or hypothetical performance results that have certain inherent limitations. Unlike the results shown in an actual performance record, these results do not represent actual trading. Also, because these trades have not actually been executed, these results may have under-or over-compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated or hypothetical trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profits or losses similar to these being shown.
Estratégia Pine Script®
por tradingtudi
11
RSI Rising Crypto Trending StrategyThis is crypto and stock market trending strategy designed for long timeframes such as 4h+ From my tests it looks like it works better to trade crypto against crypto than trading against fiat. Indicators used: RSI for rising/falling of the trend BB sidemarket ROC sidemarket Rules for entry For long: RSI values are rising, and bb and roc tells us we are not in a sidemarket For long: RSI values are falling, and bb and roc tells us we are not in a sidemarket Rules for exit We exit when we receive an opposite direction. Cuation: Because this strategy uses no risk management, I recommend you takje care with it. If you have any questions, let me know !
Estratégia Pine Script®
por exlux
6
MarketGod for Tradingview(strategy)Fully Open Source Tv Market God Strategy. Good Luck Strategy Description MarketGod can be applied to any market, with any time-frame associated to it. The signals relay the alert at the close of the period, and the painted alert is then available to users to see on the chart or even set notifications for via tradingview's alert system. We recommend that users implement marketgod on their preferred time frames for trading, which for us is the 1h, 4h, 6h, 1D and above TFs. MarketGod Versioning The versions included with this release are the following MarketGod v1 MarketGod v2 MarketGod v3 MarketGod v4 MarketGod v5 MarketGod v6 MarketGod v7 MarketGod v8 MarketGodx² Ichimoku God Suggested Uses • MarketGod will inevitably produce false positives. We've taken steps to reduce this but we highly suggest you add this as a component of your strategy, not an end all be all • That said, please do not feel the need to fire a trade based solely on a marketgod signal, or to every signal it fires. • MarketGod users should backtest their strategy using OHLC candles for best results • Heikin Ashi candles were recomended in the past, and we have eliminated the need for them, meaning that traditional candlestick inputs will yield the highest results. • MarketGod will always give stronger alerts on higher TF's. If the 1-Day has fired a given signal and the 30 min or similar fire the opposite signal, know that the overall trend is still likely downward. Same concept applies to all timeframes on this tool. Adjusting the Filter Settings This tool has a noise filter for users to adjust. The filter is a percentage based calculation, between significant points in time. The filter ranges between .5 and 25, with .5 increments • For lower TFs ( IE Intraday), keep the filter set between .5-5 • Mid-TFs (4H,6H,12H,1D), the recommended range is between 5.5-10 • Higher TFs (3D and Higher), look for approx 11-20 range Customizations Customize the indicator by adjusting the colors in the style pane. Additionally, users can change the plots into labels with the price of close added to them, or a few other label text options, listed in the 'inputs' panel, below the filter adjustments. Users can also opt to turn the strategy orders as well, as this version will have them printed. Strategy Performance Interpretation Its important to understand the only metric that should be relevant is not the win %, as many may initially think. Alternatively, the only metric that matters in the end is your take home profit... meaning the profit one fees and taxes are accounted for. In our example here, the % brought back since the beginning of our window of 2018 is around 47% for $10,000 initial capital and 10% traded per position. Many are ignorant to the take home profit aspect as they focus solely on the winning %, which is ultimately incorrect approach to trading as a whole. as long as we maintain +30% (our goal minimum), the outcome being in the green, is our goal.
Estratégia Pine Script®
por Herif
10
Parabolic SAR + Take Profit and Stop Loss By Nussara (strategy)Back test strategy for "Parabolic SAR + Take Profit and Stop Loss By Nussara" make it easy setting a strategy to estimate profits and losses. This strategy uses Parabolic SAR . The Parabolic SAR is a technical indicator developed by J. Welles Wilder to determine the direction that an asset is moving. The indicator is also referred to as a stop and reverse system, which is abbreviated as SAR . It aims to identify potential reversals in the price movement of traded assets. This indicator has a function to take profit and stop loss level. Stop loss level = First reverse point of uptrend Take profit level = Entry price + (Entry price-Stop loss level) User can set a parabolic SARS and a profit point but I fixed stop loss level at first reversals point of uptrend. I also put alert for Buy, Sell, Stop Loss in this indicator. This indicator is just a tool for technical analysis . It shouldn't be used as the only indication of trade because it causes you to lose your money. You should use other indicators to analyze together.
Estratégia Pine Script®
por omoshiro
1
[KL] Mean Reversion (ATR) StrategyThis strategy will enter into a position when price volatility is relative high, betting that price will subsequently trend in a favourable direction. Hypothesis : During periods of high price volatility, ATR will divert from its moving average by at least +/- one standard deviation. Eventually, ATR will revert back to the mean. However, just knowing the magnitude of increase/decrease of ATR does not give a trend signal, so we need to introduce a model in this script to predict whether the next bars will be up/down. Trend Prediction : This strategy calculates the expected logarithmic return of the security (the "Drift") and considers prices to be moving in uptrend if the drift curve is upward sloping or if the drift value is positive. Entry Conditions : Long position is entered when: (a) ATR has diverted from mean by one standard deviation, and (b) trend is predicted to move in our favor. Exit Condition : When trailing stop loss is hit. Results from backtesting against VOO (1H timeframe): - approx 46% win rate over 491 trades, on average holding for 20 hours per trade - price at the beginning of backtest (Jan. 2015) was $187.52, giving holding period return of ~120% had we not sold in between ("HPR of HODL'ing") - this strategy gained ~159%, exceeding ~120% HPR of HODL'ing
Estratégia Pine Script®
por DojiEmoji
2
Bollinger Bands And Aroon Scalping (by Coinrule)Many technical indicators can be profitable in certain market conditions while failing in others. No indicator is perfect alone. All the best trading strategies involve multiple indicators and leverage the benefit of each of them. The following is an optimised strategy based on Bollinger Bands and the Aroon indicator. The Bollinger Bands are among the most famous and widely used indicators. They can suggest when an asset is oversold or overbought in the short term, thus provide the best time for buying and selling it. A strategy buying dips can work well during times of uptrend. Downtrends will result in a drawdown for the P&L of the strategy. The suggested approach minimises the drawdowns, ensuring that the system trades only when it's more likely to close the trade in profit. The Setup ENTRY The price crosses below the basis line of the Bollinger Band indicator The Aroon Indicator is above 90 EXIT The price crosses below the upper Bollinger Band The Aroon Indicator drops below 70 The Aroon Indicator plays a key role in this strategy. It acts as a confirmation that the asset is currently in an uptrend. On the other hand, it acts as a stop if market conditions deteriorate. The strategy uses an Aroon Indicator set to 288 periods to provide a longer-term view on market conditions, not being heavily dependent on short-term volatility. The best time frame for this strategy based on our backtest is the 4-hr . The 1-hr can work well with three times more trades, on average. As trades increase, the profitability decreases. Yet again, this is the confirmation that trading more does not mean gaining more. To make the results more realistic, the strategy assumes each order to trade 30% of the available capital. A trading fee of 0.1% is taken into account. The fee is aligned to the base fee applied on Binance, which is the largest cryptocurrency exchange.
Estratégia Pine Script®
por Coinrule
8
[KL] Double Bollinger Bands Strategy (for Crypto/FOREX)This strategy uses a setup consisting of two Bollinger Bands based on the 20 period 20-SMA +/- (a) upper/lower bands of two standard deviations apart, and (b) upper/lower bands of one standard deviation apart. We consider price at +/- one standard deviation apart from 20-SMA as the "Neutral Zone". If price closes above Neutral Zone after a period of consolidation, then it's an opportunity for entry. Strategy will long, anticipating for breakout. The illustration below shows price closing above the Neutral Zone after a period of consolidation. a.c-dn.net Position is exited when prices closes at Neutral Zone (being lower than prior bars)
Estratégia Pine Script®
por DojiEmoji
SQZ Multiframe StrategyThis is a first attempt to automate what my current strategy when trading is. It uses 2 timeframes: the one you are currently using to see the chart and an "anchor trend" which is a higher order frame. Supported timeframes are: 1m, 5m, 15m, 30m, 1H, 4H, 1D, 1W The Strategy relies on two indicators: Squeeze Momentum Indicator CMF How does it works? It looks for a moment when the following conditions are met. For Long: Positive directionality in SQZM monitor in anchor timeframe Positive directionality in SQZM monitor in current timeframe Recent minimum in CMF For Short: Negative directionality in SQZM monitor in anchor timeframe Negative directionality in SQZM monitor in current timeframe Recent maximum in CMF After a BUY or SELL order is executed the plot will start showing two lines: A TP line, and a SL line. The TP and SL move dynamically based on a greedy algorithm based on 3 input parameters. Min Profit to Start Moving SL (%): Sets an initial target for the trade. Maximum Possible of SL (%): This is the maximum amount possible for SL. If volatility is not too high, a shorter SL will be chosen based on Kaufman's Stops method Take profit factor: Is how much portion of the target I am taking as profit once the target is reached Example for 5% Min profit: When the first target is reached (+5%), the SL will be updated to 2.5% over the enter price. When the second target is reached (+10%), the SL will be updated to 5% over the enter price. Note: The strategy might abandon the position prematurely if a contrary signal is received while the trade is opened, and will change direction. The Strategy has been backtested mostly for crypto. It might be good for stocks too, but the parameters mentioned might need some adjustments since price moves at a different rate. Recommended timeframe is 4H for BTC , and 30min/1H for alts. Comments and ideas are more than welcome!
Estratégia Pine Script®
por SayMyNameWW
10
MyTradePartnerMyTradePartner strategy makes the cryptocurrency markets buy and sell automatically. 5 stoploss, fixed profit take and stoploss level can be customized from strategy settings. There are 4 separate strategies that you can set in the strategy. First of them, there are strategies that decide long and short positions in accordance with your settings at the pivot levels, second of the super trend, third of the potential return levels, third of the up and down breaks. Pyramiding can offer multiple entry points. Strategy back tests can be adjusted to the desired time period and can be used as spot or term if desired. Frostybot is set to work fully compatible with js when the necessary inputs are made from these strategy settings. When installing an alarm for FROSTYBOT JS, the alarm message field is {{strategy.order.alert_message}}. FEATURES: -Fully compatibly with Frostybot -High Percent Profitable strategy up to %60 -İnclude five level Trailing Stoploss, fixed stoploss and takeprofit with position size management -include four strategy mentably in one strategy use one, use two or both -All settings are customizable. Create your unique strategy with settings.
Estratégia Pine Script®
por Herif
4
Qullamaggie Breakout V2After publishing the Qullamaggie Breakout script and seeing that it had some decent results, I wanted to explore it a bit further. There were a few things I didn't like about that methodology that didn't really jive with the way I like to trade. So what I did was combined the Breakout Trend Follower strategy I had been using for entries with the Qullamaggie strategy for trailing stops once in profit. The results seem pretty good to me and an approach that fits my personality and something I can actually trade. Typically better profit than the Breakout Trend Follower by giving more room for your winners to run, while still protecting your entries by moving up the trailing stop until you are in profit, all while taking less trades, so that's great. Everything is done with stop orders. So you set your buy stop at the recent swing high point and wait for a breakout. Once in a position you set your sell stop at the recent swing low point. The most recent swing high and low are shown on the chart for easy reference with the blue and orange horizontal lines. Once in a trade, trail your sell stop after a new swing low is registered (shown by the thicker orange stop line). Once you are in profit, leave that hard stop level there (the orange line will stay there helping you). Now, you wait for price to cross a Moving Average of your choosing (default is Daily 10 MA). Once the bar crosses that moving average, you move your stop to the low of that candle (shown by the blue stop line) and trail your stop along every crossing of the moving average until the trend changes and takes out your stop. So managing this trade is pretty easy...just wait for the stop lines to move and move your stop with them. It's a great way to trade when you can't be at your computer all the time because the stop orders take care of execution on both buy and sell side. If you use a daily timeframe for your moving averages (the default), you really only need to move stops around about once a day, so is a good part time trader's strategy in my opinion. The best opportunities will come by scanning for stocks in the longer term timeframe of your moving averages. Wait for a consolidation on that timeframe so the anticipated breakout has some room to run. Once you've identified a good candidate, zoom in to your lower timeframe where the swing highs/lows will act as your entry and exit points, all while keeping the moving averages consistent between timeframes. Hope you guys find it useful. A few options available: - Choose any timeframe for your moving averages, while using swing high/low points on intraday charts. - Choose one of two moving averages shown for your trailing stops (default 10 and 20 MA). - Choose to use the third moving average as a filter for keeping you out of trades that are below it (trading with the trend). - Use the charts resolution candle or the moving average resolution candle for the moving average trailing stop. - Only take trades where your buy level minus stop level is below a % of the Average Daily Range (ADR). This allows you to potentially have better risk/reward. I added a little table that shows the ADR of the stock/ticker as well as the range between the recent buy and sell levels (shown by the orange and blue horizontal lines) for easy reference.
Estratégia Pine Script®
por millerrh
52
RebalancingThis script gives you an approximation of the APR you can get when using the technique of Rebalancing. Further discription are embeded in the script. HOW TO USE: - Start date: Choose start date - Settings: Change settings to your own needs - Base currency: Select Base currency - Portfolio: Select the coins (MAX 9 pcs.) you want to use in your portfolio for the rebalancing algoritm - Click "Data Window" to see the APR (appr.) Markets: It can be used to all markets. NOTE: Some Exchanges don't go very far back in the past and for this reason this may have impact on this Indicator. Make sure the coins you selected are available at the Exchange you select in the settings section. If you dont do this, the script generates an error.
Estratégia Pine Script®
por Wilson-IV
9
Strategy Template - V2This is an educational script created to demonstrate few basic building blocks of a trend based strategy and how to achieve different entry and exit types. My initial intention was to create a comprehensive strategy template which covers all the aspects of strategy. But, ended up creating fully fledged strategy based on trend following. This is an enhancement on Strategy-Template But this script is comparitively more complex. Hence I decided to create new version instead of updating the existing one. Lets dive deep. SIMPLE COMPONENTS OF TREND FOLLOWING STRATEGY TREND BIAS - This defines the direction of trend. Idea is not to trade against the trend direction. If the bias is bullish, look for long opportunities and if bias is bearish, look for short opportunities. Stay out of the market when the bias is neutral. Often, trend bias is determined based on longer timeframe conditions. Example - 200 Moving Average, Higher timeframe moving averages, Higher timeframe high-lows etc. can be used for determining the trend bias. In this script, I am using Weekly donchian channels combined with daily donchian channels to define trend bias. Long Bias - 40 Day donchian channel sits completely in upper portion of 40 Week dochnial channel. Short Bias - 40 Day donchian channel sits completely in lower portion of 40 Week donchian channel. ENTRY CONDITION - Entry signals are generated only in the direction of bias. Hence, when in LongBias, we only get Long signals and when in short bias, we only get short signals. In our case, when in Long Bias - if price hits 40 day high for the first time, this creates our long entry signal. Similarly when in Short Bias , price hitting 40 day low will create signal for going short. Since we do not take trades opposite to trend, no entry conditions are formed when price hits 40 day high in Short Bias or 40 day low in Long Bias. EXIT CONDITION - Exit conditions are formed when we get signals of trend failure. In our case, when in long trade, price hitting 40 day low creates exit signal. Similarly when in short trade price hitting 40 day high creates exit signal for short trade. DIFFERENT TYPES OF ENTRY AND EXIT In this script, I have tried to demonstrate different entry and exit types. Entry types Market - Enter immediately when entry signal is received. That is, in this case when price crossover over high in long bias and crosses under low in short bias Stop - This method includes estimating at what level new highs are made and creating a stop buy order at that level. This way, we do not miss if the break out is stronger. But, susciptible to fail during fakeouts. Limit - This method includes executing a limit order to buy at lower price or sell at higher price. In trend following methods, downside of limit order is when there is genuine breakout, these limit orders may not hit and during trend failures the limit orders are likely to hit and go straight to stop. Stop-Limit - this is same as stop order but will also place a limit condition to avoid buying on overextended breakout or with lots of slippage. Exit types Market - whether to keep the existing trade running or whether to close it is determined after close of each bar and exit orders are executed manually upon receiving exit signal. Stop - We place stop loss orders beforehand when there is a trade in place. This can help in avoiding big movements against trade within bar. But, this may also stop on false signals or fakeouts. Take profit Stop - No take profits are configured. Target - 30% of the positions are closed when take profit levels are hit. Take profit levels are defined by risk reward. USING THE CODE AS TEMPLATE As mentioned earlier, I intended to create a fully fledged strategy template. But, ended up creating a fully fledged stratgy. However, you can take some part of this code and use it to start your own strategy. Will explain what all things can be adopted without worrying about the strategy implementation within Strategy definition : This can be copied as is and just change the title of strategy. This defines some of the commonly used parameters of strategy which can help with close to realistic backtesting results for your coded strategy and comparison with buy and hold. Generic Strategy Parameters : The parameter which defines controlling alllowed trade direction and trading window are present here. This again can be copied as is and variable inDateRange can be directly used in entry conditions. Generic Methods : f_getMovingAverage and f_secureSecurity are handy and can be used as is. atr method provideded by pine gives you ATR based on RMA. If you want SMA or any other moving average based ATR, you can use the method f_getCustomAtr Trade Statements : This section has all types of trading instructions which includes market/stop/limit/stop-limit type of entries and exits and take profit statements. You can adopt the type of entry you are interested in and change when condition to suit your strategy. Trade conditions and levels : This section is required. But, cannot be copied. All the trade logic goes here which also sets parameters which are used in when of Trade Statements. Hope this helps.
Estratégia Pine Script®
por Trendoscope
14
Forex Scalping 1min Bollinger Bands, RSI and ADX Trading SystemThis is a Forex Scalping Trading Sytem based on the Bollinger Bands. Its suited for major pairs, with lowest possible comission (below 1 pip) and with timeframes ranging between 1-15 min. Indicators: Bollinger bands ADX RSI Rules for entry: Long Entry: price to move below the upper Bollinger Bands RSI raise above the 30 line and ADX<32 at the same time. Short Entry: price to move above the upper Bollinger Bands, RSI raise below the 70 line and ADX<32 at the same time. Rules for exit Profit Exit: 3 options: 1, exit position when the price touches the middle band, 2) when the price touches the opposite band, X pips target profit. Loss Exit: X pips loss
Estratégia Pine Script®
por exlux
9
Keltner Channel - Trend Based StrategyThis strategy is based on 3 main indicators. 1st indicator is a trend indicator, which consists of SMA and EMA 2nd is Keltner Channel 3rd is DM indicator. The conditions for the entry of this strategy are following: First of all the assets need to be in an upward trend, this will occur when the EMA will cross SMA. The next condition for the entry is the opening and the closure of the candle. The open price of the candle should be in the upper part of the Keltner Channel and the close price should be above the Keltner channel. The third condition for the DM indicator is to be above a certain benchmakr. This benchmark can be set in the settings of the strategy. The strategy has two potential Take Profit levels and single stop-loss levels. For the more efficient way you may try an use the trailing stop or extend the number of take-profit levels.
Estratégia Pine Script®
por Wunderbit
9
AT_MR-15m-ALGO Strategy IndicatorsThis strategy includes systems based on the return-to-mean method. It creates BUY-SELL signals by getting approval from volatility, trend, momentum, volume, incompatibility and artificial intelligence formations in the system. Unaffected by Pump and Dump (extreme spikes and dips). In some cases, it can turn this into an opportunity. Our loss rates in transactions are minimized by algorithms. In other words, it has minimized the loss rates in the position with the stop loss systems and artificial intelligence in it. IMPORTANT NOTE: 1-) In order for our indicator to be used efficiently, it is necessary to optimize its parameters on a monthly basis. It is offered to you by optimizing regularly by our technical team every month so that it can work efficiently in variable market conditions. Non-optimized systems do not work efficiently in new market conditions. 2-) Strategy should definitely be used on 15-minute charts. Otherwise, it will lead to losses!!! Turkish Information: Bu strateji ortalamaya geri dönüş metodu üzerine kurulmuş sistemleri içerir. Sistem içerisindeki volatilite, trend, momentum, hacim, uyumsuzluk ve yapay zeka formasyonlarından onay alarak AL-SAT sinyallerini oluşturur. Pump ve Dump(aşırı ani yükselişler ve düşüşler) durumlarından etkilenmez. Bazı durumlarda bunu fırsata çevirebilir. İşlemlerdeki zarar oranlarımız algoritmalar tarafından minimize edilir. Yani, içerisinde bulunan zarar durdurma sistemleri ve yapay zeka ile pozisyondaki zarar oranlarını minimuma indirmiştir. ÖNEMLİ NOT: 1-) İndikatörümüzün verimli bir şekilde kullanılabilmesi için her ay düzenli bir şekilde parametrelerinin optimizasyonunun yapılması gerekiyor. Değişken piyasa koşularında verimli çalışabilmesi için her ay düzenli olarak teknik ekibimiz tarafından optimizasyonu yapılarak sizlere sunulmaktadır. Optimize olmayan sistemler yeni piyasa koşullarında verimli çalışmazlar. 2-) Strateji kesinlikle 15 dakikalık grafiklerde kullanılmalıdır. Aksi taktirde kayıplara yol açacaktır!!!
Estratégia Pine Script®
por AttackTraders
32
Improved Bollinger Swing Strategy Stock NasdaqThis is an improved bollinger band strategy adapted to Nasdaq Index/Stocks. The new update include a multiple logic calculation BB adapted for long and short, together with a risk management using movement in %. Rules for entry For long we have a crossover between the close and the lower band from the bb For long we have a crossover between the close and the upper band from the bb Rules for exit We exit when we either find a reverse condition, or if we hit the take profit/stop loss levels. If you have any questions, let me know !
Estratégia Pine Script®
por exlux
3
Bagheri IG EtherThis is a technical trading strategy for Ethereum ( BINANCE:ETHUSDT ). We built and developed it on MetaEditor and optimized it with MetaTrader optimizer. The main indicators are Donchian Channel, Oscillator of ROC, Bears Power, Balance of Power, and Simple Moving Average (SMA). Default values in the input panel are the best combination of these indicators, but you can change any of them and try it for better results. Please notice that this strategy has been optimized on the 1-minute chart of Ethereum. For each position, you can see the Take Profit (TP) and Stop Loss (SL) levels. Also, you can find the values of mentioned TP and SL in points from the input panel of the script. Attention: The price of Ethereum has 2 decimal places. Therefore, 3000 points for TP means 30 USDT for trading 1 BINANCE:ETHUSDT .
Estratégia Pine Script®
por Bagheri_IG