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[3Commas] DCA Bot TesterDCA Bot Tester 🔷What it does: A tool designed to simulate the behavior of a Dollar Cost Averaging (DCA) strategy based on input signals from a source indicator. Additionally, it enables you to send activation signals to 3Commas Bots via TradingView webhooks. 🔷Who is it for: This tool is ideal for those who want a visual representation and strategy report of how a DCA Bot would perform under specific conditions. By adjusting the parameters, you can assess whether the strategy aligns with your risk/reward expectations before implementation, helping you save time and protect your capital. 🔷How does it work: The tool leverages a pyramiding function to simulate price averaging, mimicking how a DCA Bot operates. It calculates volume-based averaging and, upon reaching the target, closes the positions. Conversely, if the target isn't reached, a Stop Loss is triggered, potentially resulting in significant losses if improperly configured. 🔷Why It’s Unique Easy visualization of DCA Bot entry and exit points according to user preferences. DCA Bot Summary table same as the one shown in the new 3Commas interface. Use plots from other indicators as Entry Trigger Source, with a small modification of the code. Option to Review message format before sending Signals to 3Commas. Compatibility with Multi-Pair, and futures contract pairs. Option to filter signals by session and day according to the user’s timezone. 👉 Before continuing with the explanation of the tool, please take a few minutes to read this information, paying special attention to the risks of using DCA strategies. DCA Bot: What is it, how does it work, and what are its advantages and risks? A DCA Bot is an automated tool designed to simplify and optimize your trading operations, particularly in cryptocurrencies. Based on the concept of Dollar Cost Averaging (DCA) , this bot implements scaled strategies that allow you to distribute your investments intelligently. The key lies in dividing your capital into multiple orders, known as base orders and safety orders, which are executed at different price levels depending on market conditions. These bots are highly customizable, meaning you can adapt them to your goals and trading style, whether you're operating Long (expecting a price increase) or Short (expecting a price decrease). Their primary purpose is to reduce the impact of entries that move against the estimated direction and ensure you achieve a more favorable average price. 🔸 Key Features of DCA Bots Customizable configuration: DCA bots allow you to adjust the size of your initial investment, the number of safety orders, and the price levels at which these orders execute. These orders can be equal or incremental, depending on your risk tolerance. Scaled safety orders: If the asset's price moves against your position, the bot executes safety orders at strategic levels to average your entry price and increase your chances of closing in profit. Automatic Take Profit: When the predefined profit level is reached, the bot closes the position, ensuring net gains by averaging all entries made using the DCA strategy. Stop Loss option: To protect your capital, you can set a stop loss level that limits losses if the market moves drastically against your position. Flexibility: Bots can integrate with 3Commas technical indicators or external signals from TradingView, allowing you to trade in any trend, whether bullish or bearish. Support for multiple assets: You can trade cryptocurrency pairs and exchanges compatible with 3Commas, offering a wide range of possibilities to diversify your strategies. ✅ Advantages of DCA Bots Time-saving automation: DCA bots eliminate the need for constant market monitoring, executing your trades automatically and efficiently based on predefined settings. Favorable averages in volatile markets: By averaging your entries, the bot can offer more competitive prices even under adverse market conditions. This increases your chances of recovering a position and closing it profitably. Advanced capital management: With customizable settings, you can adjust the size of base and safety orders to optimize capital usage and reduce risk. Additional protection: The ability to set a stop loss ensures your losses are limited, safeguarding your capital in extreme scenarios. ⚠️ Risks of Using a DCA Bot Requires significant capital: Safety orders can accumulate quickly if the price moves against your position. This issue is compounded if increasing amounts are used for safety orders, which can immobilize large portions of capital in adverse markets. Markets lacking clear direction: During consolidation periods or erratic movements, the bot may generate unrealized losses and make position recovery difficult. Opportunity cost: Investing in an asset that doesn't show favorable behavior can prevent you from seizing opportunities in other markets. Emotional pressure: Large investments in advanced stages of the DCA strategy can cause stress, especially if an asset takes too long to reach your take profit level. Dependence on market recovery: DCA assumes that the price will eventually move in your favor, which does not always happen, especially in assets without solid fundamentals. 📖 Key Considerations for Effectively Using a DCA Bot Use small amounts for your base and safety orders: Setting small initial orders not only limits capital usage but also allows you to manage multiple bots simultaneously, maximizing portfolio diversification. Capital management: Define a clear budget and never risk more than you are willing to lose. This is essential for maintaining sustainable operations. Select assets with strong fundamentals: Apply DCA to assets you understand and that have solid fundamentals and a proven historical growth record. Additionally, analyze each cryptocurrency's fundamentals: What problem does it solve? Does it have a clear use case? Is it viable in the long term? These questions will help you make more informed decisions. Diversification: Do not concentrate all your capital on a single asset or strategy. Spread your risk across multiple bots or assets. Monitor regularly: While bots are automated and eliminate the need to monitor the market constantly, it is essential to monitor the bots themselves to ensure they are performing as expected. This includes reviewing their performance and making adjustments if market conditions change. Remember, the goal is to automate trades, but active bot management is crucial to avoid surprises. A DCA Bot is a powerful tool for traders looking to automate their strategies and reduce the impact of market fluctuations. However, like any tool, its success depends on how it is configured and used. By applying solid capital management principles, carefully selecting assets, and using small amounts in your orders, you can maximize its potential and minimize risks. 🔷FEATURES & HOW TO USE 🔸Strategy: Here you must select the type of signal you are going to analyze and send signals to the DCA Bot, either Long for buy signals or Short for sell signals. This must match the Bot created in 3Commas. 🔸Add a Source Indicator for Entry Triggers Tradingview allows us to use indicator plots as a source in other indicators, we will use this functionality so that the buy or sell signals of an indicator are processed by the DCA Bot Tester. In this EXAMPLE we will use a simple strategy that uses a Donchian Channel (DC) and an Exponential Moving Average (EMA). Trigger to buy or long signal will be when: the price closes above the previous upper level and the average of the upper and lower level (basis) is greater than the EMA. Trigger sell or short signal will be when: the price closes below the previous lower level and the average of the upper and lower level (basis) is less than the EMA. trigger_buy = ta.crossover (close,upper ) and basis > ema and barstate.isconfirmed trigger_sell = ta.crossunder(close,lower ) and basis < ema and barstate.isconfirmed Then we create the plots that will be used as input source in the DCA Bot Tester indicator. When a buy condition is given the plot "🟢 Trigger Buy" will have a value of 1 otherwise it will remain at 0. When a sell condition is given the plot "🔴 Trigger Sell" will have a value of -1 otherwise it will remain at 0. plot(trigger_buy ? 1 : 0 , '🟢 Trigger Buy' , color = na, display = display.data_window) plot(trigger_sell? -1 : 0 , '🔴 Trigger Sell', color = na, display = display.data_window) Here you have the complete code so you can use it and do tests. Basically you just have to define the buy or sell conditions of your preferred indicator or strategy and then create the plots with the same format that will be used in DCA Bot Tester. //@version=6 indicator(title="Simple Strategy Example", overlay= false) // Indicator and Signal Triggers length = input.int(10, title = "DC Length" , display = display.none) length_ema = input.int(50, title = "EMA Length", display = display.none) lower = ta.lowest (length) upper = ta.highest(length) ema = ta.ema (close, length_ema) basis = math.avg (upper, lower) plot(basis, "Basis", color = color.orange, display = display.all-display.status_line) plot(upper, "Upper", color = color.blue , display = display.all-display.status_line) plot(lower, "Lower", color = color.blue , display = display.all-display.status_line) plot(ema , "EMA" , color = color.red , display = display.all-display.status_line) candlecol = open < close ? color.teal : color.red plotcandle(open, high, low, close, title='Candles', color = candlecol, wickcolor = candlecol, bordercolor = candlecol, display = display.pane) trigger_buy = ta.crossover (close,upper ) and basis > ema and barstate.isconfirmed trigger_sell = ta.crossunder(close,lower ) and basis < ema and barstate.isconfirmed plotshape(trigger_buy ?close:na, title="Label Buy" , style=shape.labelup , location= location.belowbar, color=color.green, text="B", textcolor=color.white, display=display.pane) plotshape(trigger_sell?close:na, title="Label Sell", style=shape.labeldown, location= location.abovebar, color=color.red , text="S", textcolor=color.white, display=display.pane) // ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― // 👇 Plots to be used in the DCA Bot Indicator as source triggers. // ―――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――― plot(trigger_buy ? 1 : 0 , '🟢 Trigger Buy' , color = na, display = display.data_window) plot(trigger_sell? -1 : 0 , '🔴 Trigger Sell', color = na, display = display.data_window) To use the example code Open the Pine Editor, paste the code and then click Add to chart. Then in the Plot Entry Trigger Source option, we will select 🟢 Trigger Buy, as the plot that will give us the buy signals when it is worth 1, otherwise for the sell signals you must change the value to -1 in the Plot Entry Trigger Value and remember to change the strategy mode to Short. 🔸DCA Settings: Here you need to configure the DCA values ​​of the strategy, you can see the meaning of each value in the Settings Section. Once you are satisfied with the tests configure the 3Commas DCA Bot with the same values ​​so that the Summary Table matches the 3Commas Table. Pay close attention to the Total Volume that the Bot will use, according to the amount of Safety Orders you are going to execute, and that all the values ​​in the table adapt to your risk tolerance. 🔸DCA Bot Deal Start: Once you create the Bot in 3Commas with the same settings it will give you a Deal Start Message, you must copy and paste it in this section, verify that it is the same in the summary table, this is used to be sent through tradingview alerts to the Bot and it can process the signals. 🔸DCA Bot Multi-Pair: A Multi-Pair Bot allows you to manage several pairs with a single bot, but you must specify which pair it will run on. You must activate it if you want to use the signals in a DCA Bot Multi-pair. In the text box you must enter (using the 3Commas format) the symbol for each pair before you create the alert so that the bot understands which pair to work on. In the following image we would be configuring the indicator to send a signal to activate the bot in the BTCUSDT pair using the given format it would be USDT_BTC, but if we wanted to send a signal in another pair we must change the pair in the chart and also in the configuration, an example with ETHUSDT would be USDT_ETH. After this we could create the alert, and the Mult-Pair Bot would detect it correctly. 🔸Strategy Tester Filters: This is useful if you want to test the strategy's result on a certain time window, the indicator will only enter this range. If disabled it will use all historical data available on the chart. If you are going to use the tool to send signals, make sure to disable the Use Custom Test Period. If you want the entries to only run at a certain time and day, in that case make sure that the timezone matches the one you are using in the chart. 🔸Properties: Adjust your initial capital and exchange commission appropriately to achieve realistic results. 🔸Create alerts to trigger the DCA Bot Check that the message is the same as the one indicated by the DCA Bot. In the case of Multi-Pair, enable the option to add the symbol with the correct format. When creating an alert, select Any alert() function call. Enter the any name of the alert. Open the Notifications tab and enable Webhook URL Paste Webhook URL provided by 3Commas looking in the section How to use TradingView custom signals. Done, alerts will be sent with the correct format automatically to 3Commas. 🔷 INDICATOR SETTINGS 🔸3Commas DCA Bot Settings Strategy: Select the direction of the strategy to test Long or Short, this must be the same as the Bot created in 3Commas, so that the signals are processed properly. DCA Bot Deal Start: Copy and paste the message for the deal start signal of the DCA Bot you created in 3Commas. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the 3Commas bot so that it can process properly so that it executes and starts the trade. DCA Bot Multi-Pair: A Multi-Pair Bot allows you to manage several pairs with a single bot, but you must specify which pair it will run on. DCA Bot Summary Table: Here you can activate the display of table as well as change the size, position, text color and background color. 🔸Source Indicator Settings Plot Entry Trigger Source: Select a Plot for Entries of the Source Indicator. This refers to the Long or Short entry signal that the indicator will use as BO (Base Order). Plot Entry Trigger Value: Value of the Source Indicator to Deal Start Condition Trigger. The default value is 1, this means that when a signal is given for example Long in the source indicator, we will use 1 or for Short -1 if there is no signal it will be 0 so it will not execute any entry, please review the example code and adjust the indicator you are going to use in the same way. 🔸DCA Settings Base Order: The Base Order is the first order the bot will create when starting a new deal. Safety Order: Enter the amount of funds your safety orders will use to average the cost of the asset being traded.Safety orders are also known as Dollar Cost Averaging and help when prices move in the opposite direction to your bot's take profit target. Safety Orders Deviation %: Enter the percentage difference in price to create the first Safety Order. All Safety Orders are calculated from the price the initial Base Order was filled on the exchange account. Safety Orders Max Count: This is the total number of Safety Orders the bot is allowed to use per deal that is opened. All Safety Orders created by the bot are placed as Limit Orders on the exchange's order book. Safety Orders Volume Scale: The Safety Order Volume Scale is used to multiply the amount of funds used by the last Safety Order that was created. Using a larger amount of funds for Safety Orders allows your bot to be more aggressive at Dollar Cost Averaging the price of the asset being traded. Safety Orders Step Scale: The Safety Order Step Scale is used to multiply the Price Deviation percentage used by the last Safety Order placed on the exchange account. Using a larger value here will reduce the amount of Safety Orders your bot will require to cover a larger move in price in the opposite direction to the active deal's take profit target. Take Profit %: The Take Profit section offers tools for flexible management of target parameters: automatic profit upon reaching one or more target levels in percentage. Stop Loss % | Use SL: To enable Stop Loss, please check the "Use SL" box. This is the percentage that price needs to move in the opposite direction to close the deal at a loss. This must be greater than the sum of the deviations from the safety orders. 🔸Strategy Tester Filters Use Custom Test Period: When enabled signals only works in the selected time window.. If disabled it will use all historical data available on the chart. Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze. Session Filter | Days | Background: Here you can choose a time zone in which signals will be sent or your strategy will be tested, as well as the days and a background of it. It is important that you use the same timezone as your chart so that it matches. 👨🏻‍💻💭 If this tool helps you, don’t forget to give it a boost! Feel free to share in the comments how you're using it or if you have any questions. _________________________________________________________________ The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Estrategia de Pine Script™
por 3Commas
EMA Crossover Buy + Ichimoku Cloud Sell StrategyThis trading strategy combines two powerful technical indicators to identify potential buy and sell signals: the Exponential Moving Average (EMA) Crossover and the Ichimoku Cloud. Each indicator serves a different purpose in the strategy, helping to provide a more reliable and multi-faceted approach to decision-making. 1. EMA Crossover Buy Signal (Trend Confirmation) The EMA Crossover strategy is based on the intersection of two EMAs of different periods, typically the short-term EMA (e.g., 9-period) and the long-term EMA (e.g., 21-period). The core concept behind the EMA crossover strategy is that when the shorter EMA crosses above the longer EMA, it signals a potential bullish trend. Buy Signal: The short-term EMA (9-period) crosses above the long-term EMA (21-period). This indicates that the short-term price action is gaining strength and may continue to rise. The buy signal becomes more significant when both EMAs are positioned above the Ichimoku Cloud, confirming that the market is in a bullish phase. 2. Ichimoku Cloud Sell Signal (Trend Reversal or Correction) The Ichimoku Cloud is a comprehensive indicator that helps define support and resistance levels, trend direction, and momentum. In this strategy, the Ichimoku Cloud is used as a filter for sell signals. Sell Signal: The price enters or is below the Ichimoku Cloud (meaning the market is in a bearish phase). Price action should also be below the Cloud for confirmation. Alternatively, if the price has already been above the cloud and then crosses below the Cloud or if the leading span B dips below leading span A, it can signal a potential trend reversal and act as a sell signal. 3. Strategy Execution (Buy and Sell Orders) Buy Setup: The short-term EMA (9-period) crosses above the long-term EMA (21-period), signaling a bullish trend. Confirm that both EMAs are positioned above the Ichimoku Cloud. Enter the buy trade at the crossover point or on a pullback after the crossover, with stop-loss below the recent swing low or cloud support. Sell Setup: Wait for the price to break below the Ichimoku Cloud, or if the price is already below the Cloud and the price continues to trend downward. Optionally, wait for the short-term EMA to cross below the long-term EMA as a further confirmation of the bearish signal. Exit or sell when these conditions align, placing stop-loss above the recent swing high or cloud resistance. Advantages of This Strategy: Trend Confirmation: The EMA crossover filters out choppy market conditions and confirms the direction of the trend. Market Timing: The Ichimoku Cloud adds a secondary layer of trend verification and helps to identify reversal zones. Clear Entry and Exit Points: The strategy offers distinct buy and sell signals, reducing subjective decision-making and improving consistency. Trend Strength Analysis: The combination of the EMA Crossover and Ichimoku Cloud allows traders to confirm trend strength, ensuring the trader enters during a confirmed trend. Risk Management: Stop Loss: Place stop-loss orders slightly below recent lows for long positions or above recent highs for short positions, depending on market volatility. Take Profit: Use a risk-to-reward ratio of at least 1:2, with price targets based on previous support/resistance levels or a fixed percentage. Conclusion: This strategy is designed for traders looking to capture trends in both bullish and bearish markets. The EMA Crossover Buy signal identifies trend initiation, while the Ichimoku Cloud Sell signal helps determine when to exit or reverse the position, reducing the risk of holding during a market reversal.
Estrategia de Pine Script™
por M4ndoo
Previous 4-Hour High/Low Indicator Name: Previous 4-Hour High/Low Lines Description: This indicator highlights the high and low levels of the previous candle from a user-defined timeframe (default: 4 hours) and extends these levels both to the left and right across the chart. It allows traders to visualize key support and resistance levels from higher timeframes while analyzing lower timeframe charts. Key Features: • Customizable Timeframe: Select any timeframe (e.g., 4-hour, daily) to track the high and low of the previous candle. • Dynamic Updates: The high and low levels update automatically with each new candle. • Extended Levels: Lines extend both left and right, providing a clear reference for past and future price action. • Overlay on Chart: The indicator works seamlessly on any timeframe, making it ideal for multi-timeframe analysis. Use Case: This tool is perfect for traders who rely on higher timeframe levels for setting entry/exit points, identifying potential breakout zones, or managing risk. By visualizing these levels directly on lower timeframe charts, traders can make informed decisions without switching between charts.
Indicador de Pine Script™
por venushkas
Zenith Oscillator IndicatorHow the Zenith Oscillator Works The Zenith Oscillator is a powerful custom trading tool designed to identify market reversals, trends, and momentum shifts. It combines multiple smoothed calculations into a normalized range (0-100), offering clear visual cues for overbought and oversold conditions. Additionally, it incorporates a volume filter to ensure signals are generated only during significant market activity, improving reliability. The oscillator has two main components: 1. Smoothed Oscillator Line (Primary Line): Dynamically changes color based on its slope: Green for upward momentum. Red for downward momentum. Indicates the market's momentum and helps confirm trends. 2. Recursive Moving Average (RMA): A secondary smoothed line plotted alongside the oscillator for additional confirmation of trends and signals. --- How to Use the Zenith Oscillator in Trading The indicator generates Buy (Long) and Sell (Short) signals based on specific conditions, with added priority to signals occurring in overbought or oversold zones. Key Features: 1. Overbought and Oversold Levels: Overbought (80): Signals potential price exhaustion, where a reversal to the downside is likely. Oversold (20): Signals potential price exhaustion, where a reversal to the upside is likely. Priority should be given to signals occurring near these levels, as they represent stronger trading opportunities. 2. Volume Filter: Signals are only generated when volume exceeds a defined threshold (1.75 times the 50-period volume moving average). This ensures signals are triggered during meaningful price action, reducing noise and false entries. 3. Signal Generation: Buy Signal: The oscillator crosses above the oversold level (20) during high volume. Sell Signal: The oscillator crosses below the overbought level (80) during high volume. 4. Visual Enhancements: Background Highlights: Red when the oscillator is in overbought territory (above 80). Green when the oscillator is in oversold territory (below 20). These highlights serve as visual cues for areas of interest. --- Trading Strategies 1. Reversal Trading (Priority Signals): Look for Buy Signals when the oscillator crosses above the oversold level (20), particularly when: The background is green (oversold). Volume is high (volume filter is satisfied). Look for Sell Signals when the oscillator crosses below the overbought level (80), particularly when: The background is red (overbought). Volume is high. Why prioritize these signals? Reversals occurring in overbought or oversold zones are strong indicators of market turning points, often leading to significant price movements. 2. Trend Continuation: Use the RMA line to confirm trends: In an uptrend, ensure the oscillator remains above the RMA, and look for buy signals near oversold levels. In a downtrend, ensure the oscillator remains below the RMA, and look for sell signals near overbought levels. This strategy helps capture smaller pullbacks within larger trends. 3. Volume-Driven Entries: Only take trades when volume exceeds the threshold defined by the 50-period volume moving average and multiplier (1.75). This filter ensures you’re trading during active periods, reducing the risk of false signals. --- Practical Tips 1. Focus on Priority Signals: Treat signals generated in overbought (above 80) and oversold (below 20) zones with higher confidence. These signals often coincide with market exhaustion and are likely to precede strong reversals. 2. Use as a Confirmation Tool: Combine the Zenith Oscillator with price action or other indicators (e.g., support/resistance levels, trendlines) for additional confirmation. 3. Avoid Choppy Markets: The oscillator performs best in markets with clear trends or strong reversals. If the oscillator fluctuates frequently between signals without clear movement, consider staying out of the market. 4. Adjust Thresholds for Specific Assets: Different assets or markets (e.g., crypto vs. stocks) may require adjusting the overbought/oversold levels or volume thresholds for optimal performance. --- Example Trades 1. Buy Example: The oscillator dips below 20 (oversold) and generates a green circle (buy signal) as it crosses back above 20. Background is green, and volume is above the threshold. Take a long position and set a stop-loss below the recent low. 2. Sell Example: The oscillator rises above 80 (overbought) and generates a red circle (sell signal) as it crosses back below 80. Background is red, and volume is above the threshold. Take a short position and set a stop-loss above the recent high. --- Summary The Zenith Oscillator is a versatile trading tool designed to identify high-probability trade setups by combining momentum, volume, and smoothed trend analysis. By prioritizing signals near overbought/oversold levels during high-volume conditions, traders can gain an edge in capturing significant price moves. Use it in combination with sound risk management and additional confirmation tools for best results.
Indicador de Pine Script™
por MonkeyPhone
1
[blackcat] L2 Kiosotto IndicatorOVERVIEW The Kiosotto Indicator is a versatile technical analysis tool designed for forex trading but applicable to other financial markets. It excels in detecting market reversals and trends without repainting, ensuring consistent and reliable signals. The indicator has evolved over time, with different versions focusing on specific aspects of market analysis. KEY FEATURES Reversal Detection: Identifies potential market reversals, crucial for traders looking to capitalize on turning points. Trend Detection: Earlier versions focused on detecting trends, useful for traders who prefer to follow the market direction. Non-Repainting: Signals remain consistent on the chart, providing reliable and consistent signals. Normalization: Later versions, such as Normalized Kiosotto and Kiosotto_2025, incorporate normalization to assess oversold and overbought conditions, enhancing interpretability. VERSIONS AND EVOLUTION Early Versions: Focused on trend detection, useful for following market direction. 2 in 1 Kiosotto: Emphasizes reversal detection and is considered an improvement by users. Normalized Versions (e.g., Kiosotto_2025, Kiosotto_3_2025): Introduce normalization to assess oversold and overbought conditions, enhancing interpretability. HOW TO USE THE KIOSOTTO INDICATOR Understanding Signals: Reversals: Look for the indicator's signals that suggest a potential reversal, indicated by color changes, line crossings, or other visual cues. Trends: Earlier versions might show stronger trending signals, indicated by the direction or slope of the indicator's lines. Normalization Interpretation (for normalized versions): Oversold: When the indicator hits the lower boundary, it might indicate an oversold condition, suggesting a potential buy signal. Overbought: Hitting the upper boundary could signal an overbought condition, suggesting a potential sell signal. PINE SCRIPT IMPLEMENTATION The provided Pine Script code is a version of the Kiosotto indicator. Here's a detailed explanation of the code: //@version=5 indicator(" L2 Kiosotto Indicator", overlay=false) //Pine version of Kiosotto 2015 v4 Alert ms-nrp // Input parameters dev_period = input.int(150, "Dev Period") alerts_level = input.float(15, "Alerts Level") tsbul = 0.0 tsber = 0.0 hpres = 0.0 lpres = 9999999.0 for i = 0 to dev_period - 1 rsi = ta.rsi(close , dev_period) if high > hpres hpres := high tsbul := tsbul + rsi * close if low < lpres lpres := low tsber := tsber + rsi * close buffer1 = tsber != 0 ? tsbul / tsber : 0 buffer2 = tsbul != 0 ? tsber / tsbul : 0 // Plotting plot(buffer1, color=color.aqua, linewidth=3, style=plot.style_histogram) plot(buffer2, color=color.fuchsia, linewidth=3, style=plot.style_histogram) hline(alerts_level, color=color.silver) EXPLANATION OF THE CODE Indicator Definition: indicator(" L2 Kiosotto Indicator", overlay=false): Defines the indicator with the name " L2 Kiosotto Indicator" and specifies that it should not be overlaid on the price chart. Input Parameters: dev_period = input.int(150, "Dev Period"): Allows users to set the period for the deviation calculation. alerts_level = input.float(15, "Alerts Level"): Allows users to set the level for alerts. Initialization: tsbul = 0.0: Initializes the tsbul variable to 0.0. tsber = 0.0: Initializes the tsber variable to 0.0. hpres = 0.0: Initializes the hpres variable to 0.0. lpres = 9999999.0: Initializes the lpres variable to a very high value. Loop for Calculation: The for loop iterates over the last dev_period bars. rsi = ta.rsi(close , dev_period): Calculates the RSI for the current bar. if high > hpres: If the high price of the current bar is greater than hpres, update hpres and add the product of RSI and close price to tsbul. if low < lpres: If the low price of the current bar is less than lpres, update lpres and add the product of RSI and close price to tsber. Buffer Calculation: buffer1 = tsber != 0 ? tsbul / tsber : 0: Calculates the first buffer as the ratio of tsbul to tsber if tsber is not zero. buffer2 = tsbul != 0 ? tsber / tsbul : 0: Calculates the second buffer as the ratio of tsber to tsbul if tsbul is not zero. Plotting: plot(buffer1, color=color.aqua, linewidth=3, style=plot.style_histogram): Plots the first buffer as a histogram with an aqua color. plot(buffer2, color=color.fuchsia, linewidth=3, style=plot.style_histogram): Plots the second buffer as a histogram with a fuchsia color. hline(alerts_level, color=color.silver): Draws a horizontal line at the alerts_level with a silver color. FUNCTIONALITY The Kiosotto indicator calculates two buffers based on the RSI and price levels over a specified period. The buffers are plotted as histograms, and a horizontal line is drawn at the alerts level. The indicator helps traders identify potential reversals and trends by analyzing the relationship between the RSI and price levels. ALGORITHMS RSI Calculation: The Relative Strength Index (RSI) measures the speed and change of price movements. It is calculated using the formula: RSI=100− (1+RS) / 100 where RS is the ratio of the average gain to the average loss over the specified period. Buffer Calculation: The buffers are calculated as the ratio of the sum of RSI multiplied by the close price for high and low price conditions. This helps in identifying the balance between buying and selling pressure. Signal Generation: The indicator generates signals based on the values of the buffers and the alerts level. Traders can use these signals to make informed trading decisions, such as entering or exiting trades based on potential reversals or trends. APPLICATION SCENARIOS Reversal Trading: Traders can use the Kiosotto indicator to identify potential reversals by looking for significant changes in the buffer values or crossings of the alerts level. Trend Following: The indicator can also be used to follow trends by analyzing the direction and slope of the buffer lines. Oversold/Overbought Conditions: For normalized versions, traders can use the indicator to identify oversold and overbought conditions, which can provide buy or sell signals. THANKS Special thanks to the TradingView community and the original developers for their contributions and support in creating and refining the Kiosotto Indicator.
Indicador de Pine Script™
por blackcat1402
1
Rolling Window Geometric Brownian Motion Projections📊 Rolling GBM Projections + EV & Adjustable Confidence Bands Overview The Rolling GBM Projections + EV & Adjustable Confidence Bands indicator provides traders with a robust, dynamic tool to model and project future price movements using Geometric Brownian Motion (GBM). By combining GBM-based simulations, expected value (EV) calculations, and customizable confidence bands, this indicator offers valuable insights for decision-making and risk management. Key Features Rolling GBM Projections: Simulate potential future price paths based on drift (μμ) and volatility (σσ). Expected Value (EV) Line: Represents the average projection of simulated price paths. Confidence Bands: Define ranges where the price is expected to remain, adjustable from 51% to 99%. Simulation Lines: Visualize individual GBM paths for detailed analysis. EV of EV Line: A smoothed trend of the EV, offering additional clarity on price dynamics. Customizable Lookback Periods: Adjust the rolling lookback periods for drift and volatility calculations. Mathematical Foundation 1. Geometric Brownian Motion (GBM) GBM is a mathematical model used to simulate the random movement of asset prices, described by the following stochastic differential equation: dSt=μStdt+σStdWt dSt​=μSt​dt+σSt​dWt​ Where: StSt​: Price at time tt μμ: Drift term (expected return) σσ: Volatility (standard deviation of returns) dWtdWt​: Wiener process (standard Brownian motion) 2. Drift (μμ) and Volatility (σσ) Drift (μμ): Represents the average logarithmic return of the asset. Calculated using a simple moving average (SMA) over a rolling lookback period. μ=SMA(ln⁡(St/St−1),Lookback Drift) μ=SMA(ln(St​/St−1​),Lookback Drift) Volatility (σσ): Measures the standard deviation of logarithmic returns over a rolling lookback period. σ=STD(ln⁡(St/St−1),Lookback Volatility) σ=STD(ln(St​/St−1​),Lookback Volatility) 3. Price Simulation Using GBM The GBM formula for simulating future prices is: St+Δt=St×e(μ−12σ2)Δt+σϵΔt St+Δt​=St​×e(μ−21​σ2)Δt+σϵΔt ​ Where: ϵϵ: Random variable from a standard normal distribution (N(0,1)N(0,1)). 4. Confidence Bands Confidence bands are determined using the Z-score corresponding to a user-defined confidence percentage (CC): Upper Band=EV+Z⋅σ Upper Band=EV+Z⋅σ Lower Band=EV−Z⋅σ Lower Band=EV−Z⋅σ The Z-score is computed using an inverse normal distribution function, approximating the relationship between confidence and standard deviations. Methodology Rolling Drift and Volatility: Drift and volatility are calculated using logarithmic returns over user-defined rolling lookback periods (default: μ=20μ=20, σ=16σ=16). Drift defines the overall directional tendency, while volatility determines the randomness and variability of price movements. Simulations: Multiple GBM paths (default: 30) are generated for a specified number of projection candles (default: 12). Each path is influenced by the current drift and volatility, incorporating random shocks to simulate real-world price dynamics. Expected Value (EV): The EV is calculated as the average of all simulated paths for each projection step, offering a statistical mean of potential price outcomes. Confidence Bands: The upper and lower bounds of the confidence bands are derived using the Z-score corresponding to the selected confidence percentage (e.g., 68%, 95%). EV of EV: A running average of the EV values, providing a smoothed perspective of price trends over the projection horizon. Indicator Functionality User Inputs: Drift Lookback (Bars): Define the number of bars for rolling drift calculation (default: 20). Volatility Lookback (Bars): Define the number of bars for rolling volatility calculation (default: 16). Projection Candles (Bars): Set the number of bars to project future prices (default: 12). Number of Simulations: Specify the number of GBM paths to simulate (default: 30). Confidence Percentage: Input the desired confidence level for bands (default: 68%, adjustable from 51% to 99%). Visualization Components: Simulation Lines (Blue): Display individual GBM paths to visualize potential price scenarios. Expected Value (EV) Line (Orange): Highlight the mean projection of all simulated paths. Confidence Bands (Green & Red): Show the upper and lower confidence limits. EV of EV Line (Orange Dashed): Provide a smoothed trendline of the EV values. Current Price (White): Overlay the real-time price for context. Display Toggles: Enable or disable components (e.g., simulation lines, EV line, confidence bands) based on preference. Practical Applications Risk Management: Utilize confidence bands to set stop-loss levels and manage trade risk effectively. Use narrower confidence intervals (e.g., 50%) for aggressive strategies or wider intervals (e.g., 95%) for conservative approaches. Trend Analysis: Observe the EV and EV of EV lines to identify overarching trends and potential reversals. Scenario Planning: Analyze simulation lines to explore potential outcomes under varying market conditions. Statistical Insights: Leverage confidence bands to understand the statistical likelihood of price movements. How to Use Add the Indicator: Copy the script into the TradingView Pine Editor, save it, and apply it to your chart. Customize Settings: Adjust the lookback periods for drift and volatility. Define the number of projection candles and simulations. Set the confidence percentage to tailor the bands to your strategy. Interpret the Visualization: Use the EV and confidence bands to guide trade entry, exit, and position sizing decisions. Combine with other indicators for a holistic trading strategy. Disclaimer This indicator is a mathematical and statistical tool. It does not guarantee future performance. Use it in conjunction with other forms of analysis and always trade responsibly. Happy Trading! 🚀
Indicador de Pine Script™
por garysebastianbrowniii
Larry Williams: Market StructureLarry Williams' Three-Bar System of Highs and Lows: A Definition of Market Structure Larry Williams developed a method of market structure analysis based on identifying local extrema using a sequence of three consecutive bars. This approach helps traders pinpoint significant turning points on the price chart. Definition of Local Extrema: Local High: Consists of three bars where the middle bar has the highest high, while the lows of the bars on either side are lower than the low of the middle bar. Local Low: Consists of three bars where the middle bar has the lowest low, while the highs of the bars on either side are higher than the high of the middle bar. This structure helps identify meaningful reversal points on the price chart. Constructing the Zigzag Line: Once the local highs and lows are determined, they are connected with lines to create a zigzag pattern. This zigzag reflects the major price swings, filtering out minor fluctuations and market noise. Medium-Term Market Structure: By analyzing the sequence of local extrema, it is possible to determine the medium-term market trend: Upward Structure: A sequence of higher highs and higher lows. Downward Structure: A sequence of lower highs and lower lows. Sideways Structure (Flat): Lack of a clear trend, where highs and lows remain approximately at the same level. This method allows traders and analysts to better understand the current market phase and make informed trading decisions. Built-in Indicator Feature: The indicator includes a built-in functionality to display Intermediate Term Highs and Lows , which are defined by filtering short-term highs and lows as described in Larry Williams' methodology. This feature is enabled by default, ensuring traders can immediately visualize key levels for support, resistance, and trend assessment. Quote from Larry Williams' Work on Intermediate Term Highs and Lows: "Now, the most interesting part! Look, if we can identify a short-term high by defining it as a day with lower highs (excluding inside days) on both sides, we can take a giant leap forward and define an intermediate term high as any short-term high with lower short-term highs on both sides. But that’s not all, because we can take it even further and say that any intermediate term high with lower intermediate term highs on both sides—you see where I’m going—forms a long-term high. For many years, I made a very good living simply by identifying these points as buy and sell signals. These points are the only valid support and resistance levels I’ve ever found. They are crucial, and the breach of these price levels provides important information about trend development and changes. Therefore, I use them for placing stop loss protection and entry methods into the market." — Larry Williams This insightful quote highlights the practical importance of identifying market highs and lows at different timeframes and underscores their role in effective trading strategies.
Indicador de Pine Script™
por Smollet
Enhanced Trading StrategyFeatures of the Script RSI Analysis: Highlights overbought and oversold levels with visual and alert-based feedback. Integrates as part of the trade signal generation. Moving Averages (EMA): Plots short and long EMA for trend confirmation (golden and death cross strategies). MACD: Uses MACD histogram and crossovers to confirm momentum. Fibonacci Retracements: Dynamically calculates Fibonacci regression levels for support and resistance. Volume: Displays volume for confirmation of breakouts or trend strength. Alerts: Triggers buy/sell alerts based on conditions. Alerts can be sent to your email or phone using TradingView's alert system.
Indicador de Pine Script™
por mnasirbsullehe
WMA Killer Ratio Analysis | JeffreyTimmermansWMA Killer Ratio Analysis The WMA Killer Ratio Analysis is a highly responsive trend-following indicator designed to deliver quick and actionable insights on the ETHBTC ratio. By utilizing advanced smoothing methods and normalized thresholds, this tool efficiently identifies market trends. Let’s dive into the details: Core Mechanics 1. Smoothing with Standard Deviations The WMA Killer Ratio Analysis begins by smoothing source price data using standard deviations, which measure the typical variance in price movements. This creates dynamic deviation levels: Upper Deviation: Marks the high boundary, indicating potential overbought conditions. Lower Deviation: Marks the low boundary, signaling potential oversold conditions. These levels are integrated with the Weighted Moving Average (WMA), filtering out market noise and honing in on significant price shifts. 2. Weighted WMA Bands The WMA is further refined with dynamic weighting: Upper Weight: Expands the WMA, creating an Upper Band to capture extreme price highs. Lower Weight: Compresses the WMA, forming a Lower Band to reflect price lows. This adaptive dual-weighting system highlights potential areas for trend reversals or continuations with precision. 3. Normalized WMA (NWMA) Analysis The Normalized WMA adds a deeper layer of trend evaluation: It calculates the percentage change between the source price and its smoothed average. Positive NWMA values suggest overbought conditions, while negative NWMA values point to oversold conditions. Traders can customize long (buy) and short (sell) thresholds to align signal sensitivity with their strategy and market conditions. Signal Logic Buy (Long) Signals: Triggered when the price remains above the lower deviation level and the NWMA crosses above the long threshold. Indicates a bullish trend and potential upward momentum. Sell (Short) Signals: Triggered when the price dips below the upper deviation level and the NWMA falls beneath the short threshold. Suggests bearish momentum and a potential downward trend. Note: The WMA Killer Ratio Analysis is most effective when paired with other forms of analysis, such as volume, higher time-frame trends, or fundamental data. Visual Enhancements The WMA Killer Ratio Analysis emphasizes usability with clear and dynamic plotting features: 1. Color-Coded Trend Indicators: The indicator changes color dynamically to represent trend direction. Users can customize colors to suit specific trading pairs (e.g., ETHBTC, SOLBTC). 2. Threshold Markers: Dashed horizontal lines represent long and short thresholds, giving traders a visual reference for signal levels. 3. Deviation Bands with Fill Areas: Upper and Lower Bands are plotted around the WMA. Shaded regions highlight deviation zones, making trend boundaries easier to spot. 4. Signal Arrows and Bar Coloring: Arrows or triangles appear on the chart to mark potential buy (upward) or sell (downward) points. Candlesticks are color-coded based on the prevailing trend, allowing traders to interpret the market direction at a glance. Customization Options Adjustable Thresholds: Tailor the sensitivity of long and short signals to your strategy. Dynamic Weighting: Modify upper and lower band weights to adapt the WMA to varying market conditions. Source Selection: Choose the preferred input for price data smoothing, such as closing price or an average (hl2). The WMA Killer Ratio Analysis combines rigorous mathematical analysis with intuitive visual features, providing traders with a reliable way to identify trends and make data-driven decisions. While it excels at detecting key market shifts, its effectiveness increases when integrated into a broader trading strategy. -Jeffrey
Indicador de Pine Script™
por JeffreyTimmermans
NEURAL NETWORK ULTRA STRATEGYOverview Looking for a multi-layered approach to market momentum that balances powerful analytics with practical usability? Neural Network Ultra Strategy merges a variety of time-tested indicators into one cohesive scoring system—giving you clear, data-driven entry and exit signals. Whether you’re a seasoned trader or just starting out, this script aims to deliver intuitive customization and risk management from top to bottom. Inspiration & Credit Foundational Code: Inspired by an older, open-source script from an unknown author (now inactive). We honor their groundwork while building a fresh, highly flexible system. Community Influence: We rely on standard PineScript functions (EMA, RSI, MACD, etc.) and feedback from the broader TradingView community. Monthly Table Component: The monthly performance table portion is based on scripts by QuantNomad and ZenAndTheArtOfTrading . Below is a snippet reference from those creators: Key Features Multi-Indicator Score Aggregation: EMA, RSI, MACD, Stochastic, Bollinger Bands, OBV and more are tracked simultaneously. Each indicator can contribute bullish/bearish “points.” When a threshold is reached, a potential signal fires. Trend Verification (EMA 200): Integrates a long-term EMA filter to ensure trades align with the broader market direction (optional toggle). Helps filter out low-probability setups in choppy markets. Volatility & Volume Layers: Built-in ATR logic, Bollinger touches, and volume-based checks (CMF, OBV) to confirm if momentum truly has “fuel.” Encourages entries only when volatility or volume expansions show robust follow-through. Dynamic Alerts & PineConnector Integration: Optionally trigger real-time alerts for buy/sell signals, trailing stop hits, break-even moves, etc. (If desired) connect with third-party trade execution tools. Extensive Customization: Each indicator’s lookback length, weight, and thresholds are adjustable. Beginners can keep default settings; advanced users can fine-tune every layer of logic. Advanced Risk Management: Stop-Loss & Break-Even: Set fixed or ATR-based stops, plus automatic break-even triggers if the market moves in your favor. Trailing Stop Options: Switch on a trailing stop to lock in profit if momentum continues. Session/Time Exits: For those who prefer not to hold trades overnight, the script includes optional session-based closing. Why it matters: Risk control can sometimes be more critical than the perfect entry. Our integrated approach aims to shield you from excessive drawdowns while letting winning trades breathe. Beginner-Friendly Customization: Straightforward Inputs: Clear tooltips describing each indicator’s role (e.g., RSI oversold threshold, MACD cross weighting). Scoring Weights: Adjust how strongly each indicator impacts your final buy/sell signal. Simple Visual Aids: Transparent color fills, trend lines, and optional table outputs keep new users oriented. Tip: Start with minimal changes. Once you’re comfortable, tweak each component’s length or weighting to suit your favorite market/timeframe. Enhanced Strategy Tester Integration Performance Dashboard: TradingView’s built-in strategy engine reveals net profit, win rate, max drawdown, and more—right on your chart. Monthly Performance Table: A specially designed table (optional) shows how the script performed over multiple months or years. Ideal for checking historical consistency and volatility. Realistic Backtesting Options: Enable realistic commission and slippage settings. Specify realistic risk-per-trade, ensuring backtest data mirrors real-world conditions as closely as possible. Outcome: A robust toolkit for traders who want objective, data-backed results to refine their approach. Important Disclaimers: Not Financial Advice: This script is intended for educational purposes; do your own due diligence. No Guaranteed Results: Markets are unpredictable. Historical data does not guarantee future performance. Use at Your Own Risk: You retain full responsibility for any trade decisions made using this tool. Ensure “Use standard OHLC” if testing on a Heikin Ashi chart.
Estrategia de Pine Script™
por algoopips
S/R Retest [TradeGodz]In trading, support is a price level where a downtrend is expected to pause due to a concentration of buyers. Resistance is the opposite, a price level where an uptrend is expected to pause due to a concentration of sellers. To 'test' support or resistance means that the price approaches these levels. A 'retest' occurs when the price moves away from the level (either bouncing off it or breaking through), then returns to that level again. These tests and retests can provide trading opportunities as they often result in a bounce off the level or a breakout through the level.
Indicador de Pine Script™
por MBJR0007
Adaptive EMA with Filtered Signals (Free Version)Adaptive EMA with Filtered Signals: A Professional Trading Tool The Adaptive EMA with Filtered Signals indicator is designed to provide traders with reliable, dynamic buy and sell signals, reducing the impact of false signals. By combining the flexibility of an adaptive EMA with powerful filtering mechanisms like RSI, trend confirmation, and volatility checks, this indicator helps you make more informed decisions in various market conditions. Benefits for Traders: 1. Enhanced Signal Accuracy: The adaptive EMA adjusts to market conditions, providing a more responsive and smoother trend-following approach. The added RSI filter ensures signals are only generated when the market is neither overbought nor oversold, improving the quality of trade entries and exits. 2. Trend Confirmation: Buy signals are triggered in an uptrend (when the price is above the comparison EMA), and sell signals are triggered in a downtrend (when the price is below the comparison EMA). This trend confirmation minimizes the risk of entering trades against the prevailing market direction. 3. Customizable Parameters: Traders can adjust key parameters such as the Comparison EMA Length, RSI Thresholds, and Smoothing Factor to suit different market environments. Whether you prefer faster signals or smoother trends, the flexibility to tweak these settings ensures the indicator aligns with your trading style. 4. Visual Clarity: Clear buy (green) and sell (red) arrows are plotted on the chart, making it easy to spot potential trade opportunities without cluttering the chart. This simplicity allows for quick decision-making in fast-moving markets. 5. Risk Mitigation: By using multiple filters—RSI, trend confirmation, and volatility checks—this indicator reduces the chances of trading on weak or unreliable signals, helping to avoid unnecessary risks and improving overall trade performance. 6. Enhanced Signal Accuracy: The adaptive EMA adjusts to market conditions, providing a more responsive and smoother trend-following approach. The added RSI filter ensures signals are only generated when the market is neither overbought nor oversold, improving the quality of trade entries and exits. Key Features: 1. Adaptive EMA Calculation: The adaptive EMA adjusts its smoothing factor based on the RSI, allowing it to react dynamically to changing market conditions. It is derived from a short EMA and a long EMA, with the smoothing factor being influenced by the RSI's relative position. Parameters: Short EMA Length (emaShortLength): Defines the length of the short-term EMA used for adaptive calculations. A smaller value will make the adaptive EMA more sensitive to price movements. Long EMA Length (emaLongLength): Defines the length of the long-term EMA. This influences the overall trend-following nature of the adaptive EMA. Smoothing Factor (smoothingFactor): Adjusts the smoothness of the adaptive EMA. A higher value results in a smoother curve, while a lower value makes it more responsive to recent price changes. 2. Comparison EMA: A stable EMA with a fixed length used to track larger trends and act as a reference point for generating buy and sell signals. Parameter: Comparison EMA Length (comparisonEmaLength): Determines the length of the comparison EMA. A longer length will track broader trends, while a shorter length makes the comparison line more sensitive to price changes. 3. RSI Filter: The Relative Strength Index (RSI) is used to ensure signals are only generated when the market is not overbought or oversold. Parameters: RSI Length (rsiLength): Determines the period for calculating the RSI. A longer length makes the RSI smoother and less sensitive to short-term price movements. RSI Overbought (rsiOverbought): The upper threshold for the RSI. Buy signals will only be triggered if the RSI is below this level, preventing signals in overbought conditions. RSI Oversold (rsiOversold): The lower threshold for the RSI. Sell signals will only be triggered if the RSI is above this level, avoiding signals in oversold conditions. 4. Trend Confirmation: Ensures buy signals only occur in an uptrend (when the price is above the comparison EMA) and sell signals only occur in a downtrend (when the price is below the comparison EMA). Parameters: Trend Filter for Buy (trendFilterBuy): Ensures buy signals are only triggered when the price is above the comparison EMA, confirming a bullish trend. Trend Filter for Sell (trendFilterSell): Ensures sell signals are only triggered when the price is below the comparison EMA, confirming a bearish trend. 5. Signal Plotting: Buy Signals: Displayed with a green arrow below the price bar when the adaptive EMA crosses above the comparison EMA, with all filters confirming a buy. Sell Signals: Displayed with a red arrow above the price bar when the adaptive EMA crosses below the comparison EMA, with all filters confirming a sell. Usage Recommendations: Experiment with the Comparison EMA Length: Try different lengths (e.g., 100, 150, 200) to adapt to different market conditions. A longer comparison EMA will smooth out price fluctuations, while a shorter one will react faster. Adjust the RSI Thresholds: If you want to avoid buying during overbought or selling during oversold conditions, you can adjust the RSI overbought and oversold thresholds. A more aggressive approach may involve using a narrower range. Fine-Tune the Smoothing Factor: If you prefer a smoother indicator, increase the smoothing factor. For more responsive behavior, decrease the smoothing factor. Why Choose This Indicator? This indicator combines the best of adaptive techniques and filtering mechanisms, offering a reliable tool for both novice and experienced traders. It adapts to changing market conditions, helping you stay ahead of trends while minimizing false signals. Whether you're a swing trader or day trader, the Adaptive EMA with Filtered Signals provides the clarity and precision you need to navigate volatile markets with confidence.
Indicador de Pine Script™
por pawellazikowski
Prime Trading TrendFlow IndikatorPrime Trading TrendFlow Indikator – Die perfekte Unterstützung für die TrendFlow-Strategie (Beta-Version) Der Prime Trading TrendFlow Indikator wurde speziell für Scalper entwickelt, die im Markt des Britischen Pfunds gegenüber dem Japanischen Yen (GBP/JPY) aktiv sind. Egal, ob du Anfänger oder fortgeschrittener Trader bist – dieser Indikator reduziert deine Analysezeit erheblich und übernimmt bis zu 80% der Marktanalyse für dich. Funktionen: Vortages-Hoch- und Tief-Zonen: Identifiziere wichtige Marktbereiche aus dem vorherigen Handelstag mit einem Blick. Psychologische Level: Automatische Markierung von Preisniveaus, die von vielen Marktteilnehmern beachtet werden. Tagesvolumenprofil: Zeigt dir die aktuelle Tagesvolumenzone für präzisere Entscheidungen. Individuelle Anpassungen: Passe Farben, Zonen und sichtbare Features flexibel nach deinen Vorlieben an. Ein- und Ausschaltoptionen: Schalte spezifische Indikator-Features wie das Volumenprofil oder die psychologischen Level nach Bedarf an oder aus. Warum dieser Indikator? Der Prime Trading TrendFlow Indikator wurde gezielt für die TrendFlow-Strategie entwickelt, um deine Analyse zu vereinfachen und eine schnelle Umsetzung zu ermöglichen. Mit diesem Tool wird die Identifikation relevanter Marktbereiche intuitiver und effizienter, was dir hilft, profitabler zu traden. Besonderheiten: Beta-Version: Aktuell in der Beta-Phase, mit zukünftigen Updates, die das gesamte Volumen integrieren werden und weiteren Features. Plug-and-Play: Einfache Anwendung ohne komplizierte Einrichtung – ideal für eine schnelle Integration in deinen Workflow. Exklusiv für Prime Trading Mitglieder: Der Indikator ist ausschließlich für aktive Pro- und VIP-Mitglieder verfügbar. Optimale Nutzung: Empfohlener Markt: GBP/JPY Empfohlene Strategie: Scalping mit der TrendFlow-Strategie Zeiteinheiten: Hauptsächlich auf M5 und M1 ausgelegt Mit dem Prime Trading TrendFlow Indikator erhältst du ein Tool, das nicht nur deine Analysezeit reduziert, sondern dir auch einen entscheidenden Vorteil im Markt verschafft.
Indicador de Pine Script™
por willem_trading
Renko Boxes [by dawoud]This indicator combines the strength of Renko channels with traditional price action charts, offering a unique perspective on market trends and reversals. Unlike standalone Renko charts, which obscure time, this indicator overlays Renko-based channels directly onto your standard price action chart, precisely showing trends over time. Key Features: Renko Channel Visualization: Clearly defined channels help identify trends, support, and resistance levels. Seamless Integration: The Renko channels are plotted directly on your regular candlestick or bar charts, preserving the context of price and time. Enhanced Trend Clarity: Smooth out market noise and focus on significant price movements. Customizable Settings: Adjust brick size and channel parameters to fit your trading strategy. I haven't yet figured out a strategy for this indicator. If you have an idea, please contact me and we will build that together.
Indicador de Pine Script™
por abdawoud