Page 36 | Scripts Search Results for "Profit" — TradingView (2025)

Futures Risk CalculatorThe "Futures Risk Calculator" is designed to assist traders in calculating the number of contracts to risk based on their account size, risk percentage, and stop loss level. This script provides a convenient way for traders to determine their position size in futures or other instruments where contracts are used.The script prompts users to input their account size, risk percentage, entry price, and stop loss price. It then calculates the stop size in points, risk in dollars, and the number of contracts to risk. These calculations are based on standard risk management principles commonly used in trading.The script plots the entry and stop loss lines on the chart for visual reference. Additionally, it displays a label in the top-right corner of the chart, showing the calculated number of contracts to risk. The label updates dynamically as the input values or market conditions change.Originality and Usefulness:This script is original and adds value to the TradingView community by providing traders with a practical tool for managing risk in their trading strategies. It is focusing on risk management, an essential aspect of successful trading.By automating the calculation process, the script saves traders time and reduces the potential for manual errors. It encourages traders to adopt disciplined risk management practices, which are crucial for long-term profitability and capital preservation.How to Use:Input your account size, risk percentage, entry price, and stop loss price in the script settings.Enter the pip size according to the instrument you are using (by default its's based for NASDAQ)The script will automatically calculate the number of contracts to risk based on the provided inputs.The entry and stop loss lines will be plotted on the chart for visual reference.The calculated number of contracts to risk will be displayed in the top-right corner of the chart.By following these steps, traders can effectively manage their risk exposure and make informed decisions when entering trades.

Fibonacci Trend Reversal StrategyIntroduction This publication introduces the " Fibonacci Retracement Trend Reversal Strategy, " tailored for traders aiming to leverage shifts in market momentum through advanced trend analysis and risk management techniques. This strategy is designed to pinpoint potential reversal points, optimizing trading opportunities. Overview The strategy leverages Fibonacci retracement levels derived from @IMBA_TRADER's lance Algo to identify potential trend reversals. It's further enhanced by a method called " Trend Strength Over Time " (TSOT) (by @federalTacos5392b), which utilizes percentile rankings of price action to measure trend strength. This also has implemented Dynamic SL finder by utilizing @veryfid's ATR Stoploss Finder which works pretty well Indicators: Fibonacci Retracement Levels : Identifies critical reversal zones at 23.6%, 50%, and 78.6% levels. TSOT (Trend Strength Over Time) : Employs percentile rankings across various timeframes to gauge the strength and direction of trends, aiding in the confirmation of Fibonacci-based signals. ATR (Average True Range) : Implements dynamic stop-loss settings for both long and short positions, enhancing trade security. Strategy Settings :- Sensitivity: Set default at 18, adjustable for more frequent or sparse signals based on market volatility.- ATR Stop Loss Finder: Multiplier set at 3.5, applying the ATR value to determine stop losses dynamically.- ATR Length: Default set to 14 with RMA smoothing.- TSOT Settings: Hard-coded to identify percentile ranks, with no user-adjustable inputs due to its intrinsic calculation method. Trade Direction Options : Configurable to support long, short, or both directions, adaptable to the trader's market assessment. Entry Conditions :- Long Entry: Triggered when the price surpasses the mid Fibonacci level (50%) with a bullish TSOT signal.- Short Entry: Activated when the price falls below the mid Fibonacci level with a bearish TSOT indication. Exit Conditions :- Employs ATR-based dynamic stop losses, calibrated according to current market volatility, ensuring effective risk management. Strategy Execution :- Risk Management: Features adjustable risk-reward settings and enables partial take profits by default to systematically secure gains.- Position Reversal: Includes an option to reverse positions based on new TSOT signals, improving the strategy's responsiveness to evolving market conditions.The strategy is optimized for the BYBIT:WIFUSDT.P market on a scalping (5-minute) timeframe, using the default settings outlined above.I spent a lot of time creating the dynamic exit strategies for partially taking profits and reversing positions so please make use of those and feel free to adjust the settings, tool tips are also provided. For Developers: this is published as open-sourced code so that developers can learn something especially on dynamic exits and partial take profits! Good Luck! Disclaimer This strategy is shared for educational purposes and must be thoroughly tested under diverse market conditions. Past performance does not guarantee future results. Traders are advised to integrate this strategy with other analytical tools and tailor it to specific market scenarios. I was only sharing what I've crafted while strategizing over a Solana Meme Coin.

Channels With NVI Strategy [TradeDots]The "Channels With NVI Strategy" is a trading strategy that identifies oversold market instances during a bullish trading market. Specifically, the strategy integrates two principal indicators to deliver profitable opportunities, anticipating potential uptrends. 2 MAIN COMPONENTS 1. Channel Indicators: This strategy gives users the flexibility to choose between Bollinger Band Channels or Keltner Channels. This selection can be made straight from the settings, allowing the traders to adjust the tool according to their preferences and strategies. 2. Negative Volume Indicator (NVI): An indicator that calculates today's price rate of change, but only when today's trading volume is less than the previous day's. This functionality enables users to detect potential shifts in the trading volume with time and price. ENTRY CONDITION First, the assets price must drop below the lower band of the channel indicator. Second, NVI must ascend above the exponential moving average line, signifying a possible flood of 'smart money' (large institutional investors or savvy traders), indicating an imminent price rally. EXIT CONDITION Exit conditions can be customized based on individual trading styles and risk tolerance levels. Traders can define their ideal take profit or stop loss percentages.Moreover, the strategy also employs an NVI-based exit policy. Specifically, if the NVI dips under the exponential moving average – suggestive of a fading trading momentum, the strategy grants an exit call. RISK DISCLAIMER Trading entails substantial risk, and most day traders incur losses. All content, tools, scripts, articles, and education provided by TradeDots serve purely informational and educational purposes. Past performances are not definitive predictors of future results.

Vegas SuperTrend Enhanced - Strategy [presentTrading]█ Introduction and How it is DifferentThe "Vegas SuperTrend Enhanced - Strategy " trading strategy represents a novel integration of two powerful technical analysis tools: the Vegas Channel and the SuperTrend indicator. This fusion creates a dynamic, adaptable strategy designed for the volatile and fast-paced cryptocurrency markets, particularly focusing on Bitcoin trading. Unlike traditional trading strategies that rely on a static set of rules, this approach modifies the SuperTrend's sensitivity to market volatility, offering traders the ability to customize their strategy based on current market conditions. This adaptability makes it uniquely suited to navigating the often unpredictable swings in cryptocurrency valuations, providing traders with signals that are both timely and reflective of underlying market dynamics.BTC 6h LS █ Strategy, How it Works: Detailed ExplanationThis is an innovative approach that combines the volatility-based Vegas Channel with the trend-following SuperTrend indicator to create dynamic trading signals. This section delves deeper into the mechanics and mathematical foundations of the strategy.Detail picture to show : 🔶 Vegas Channel CalculationThe Vegas Channel serves as the foundation of this strategy, employing a simple moving average (SMA) coupled with standard deviation to define the upper and lower bounds of the trading channel. This channel adapts to price movements, offering a visual representation of potential support and resistance levels based on historical price volatility.🔶 SuperTrend Indicator AdjustmentCentral to the strategy is the SuperTrend indicator, which is adjusted according to the width of the Vegas Channel. This adjustment is achieved by modifying the SuperTrend's multiplier based on the channel's volatility, allowing the indicator to become more sensitive during periods of high volatility and less so during quieter market phases. 🔶 Trend Determination and Signal GenerationThe market trend is determined by comparing the current price with the SuperTrend values. A shift from below to above the SuperTrend line signals a potential bullish trend, prompting a "buy" signal, whereas a move from above to below indicates a bearish trend, generating a "sell" signal. This methodology ensures that trades are entered in alignment with the prevailing market direction, enhancing the potential for profitability.BTC 6h Local █ Trade DirectionA distinctive feature of this strategy is its configurable trade direction input, allowing traders to specify whether they wish to engage in long positions, short positions, or both. This flexibility enables users to tailor the strategy according to their risk tolerance, trading style, and market outlook, providing a personalized trading experience.█ UsageTo utilize the "Vegas SuperTrend - Enhanced" strategy effectively, traders should first adjust the input settings to align with their trading preferences and the specific characteristics of the asset being traded. Monitoring the strategy's signals within the context of overall market conditions and combining its insights with other forms of analysis can further enhance its effectiveness.█ Default Settings- Trade Direction: Both (allows trading in both directions)- ATR Period for SuperTrend: 10 (determines the length of the ATR for volatility measurement)- Vegas Window Length: 100 (sets the length of the SMA for the Vegas Channel)- SuperTrend Multiplier Base: 5 (base multiplier for SuperTrend calculation)- Volatility Adjustment Factor: 5.0 (adjusts SuperTrend sensitivity based on Vegas Channel width)These default settings provide a balanced approach suitable for various market conditions but can be adjusted to meet individual trading needs and objectives.

Alert Sender Library [TradingFinder]Library "AlertSenderLibrary_TradingFinder" 🔵 Introduction The "Alert Sender Library" is a management and production program for "Alert Messages" that enables the creation of unique messages for any type of signal generated by indicators or strategies.These messages include the direction of the signal, symbol, time frame, the date and time the condition was triggered, prices related to the signal, and a personal message from you. To make better and more optimal use of this "library", you should carefully study " Key Features" and "How to Use".🔵 Key Features Automatic Detection of Appropriate Type :Using two parameters, "AlertType" and "DetectionType", which you must enter at the beginning into the "AlertSender" function, the type of the alert message is determined. For example, if you select one of the "DetectionType"s such as "Order Block Signal", "Signal", and "Setup", your alert type will be chosen based on "Long" and "Short". Whether it's "Long" or "Short" depends on the "AlertType" you have set to either "Bullish" or "Bearish". Automatic Symbol Detection :Whenever you add an alert for a specific symbol, if you want the name of that symbol to be in your message text, you must manually write the name of the symbol in your message. One of the capabilities of the "Alert Sender" is the automatic detection of the symbol and adding it to the message text. Automatic Time Frame Detection :When adding your alert, the "Alert Sender" detects the time frame of the symbol you intend to add the alert for and adds it to the text. This feature is very practical and can prevent traders from making mistakes. For example, a trader might add alerts for a specific symbol using a specific indicator in different time frames, taking the main signal in the 1-hour time frame and only a confirmation signal in the 15-minute time frame. This feature helps to identify in which time frame the signal is set. Detection of Date and Time When the Signal is Triggered :You can have the date and time at the moment the message is sent. This feature has various uses. For example, if you use the Webhook URL feature to send messages to a Telegram channel, there might be issues with alert delivery on your server, causing delays, and you might receive the message when it has lost its validity. With this feature, you can match the sending time of the message from TradingView with the receipt time in your messenger and detect if there is a delay in message delivery. Important :You can also set the Time Zone you wish to receive the date and time based on. Display of "Key Prices" :Key prices can vary based on the type of signals. For example, when the "DetectionType" is in "Order Block Signal" mode, the key prices are the "Distal" and "Proximal" prices. Or if the "DetectionType" is in "Setup" mode, the key prices are "Entry", "Stop Loss", and "Take Profit". Receipt of Personal "Messages" :You can enter your personal message using "input.string" or "input.text_area" in addition to the messages that are automatically created. Beautiful and Functional Display of Messages :The titles of messages sent by "AlertSender" are displayed using related emojis to prevent mistakes due to visual errors, enhancing beauty. 🔵 How to Use 🟣 Familiarity with Function and Parameters AlertSender(Condition, Alert, AlertName, AlertType, DetectionType, SetupData, Frequency, UTC, MoreInfo, Message, o, h, l, c, Entry, TP, SL, Distal, Proximal) Parameters:  - Condition (bool)  - Alert (string)  - AlertName (string)  - AlertType (string)  - DetectionType (string)  - SetupData (string)  - Frequency (string)  - UTC (string)  - MoreInfo (string)  - Message (string)  - o (float)  - h (float)  - l (float)  - c (float)  - Entry (float)  - TP (float)  - SL (float)  - Distal (float)  - Proximal (float) To add "Alert Sender Library", you must first add the following code to your script. import TFlab/AlertSenderLibrary_TradingFinder/1 🟣 Parameters "Condition" : This parameter is a Boolean. You need to set it based on the condition that, when met (or fired), you want to receive an alert. The output should be either "true" or "false". "Alert" : This parameter accepts one of two inputs, "On" or "Off". If set to "On", the alarm is active; if "Off", the alarm is deactivated. This input is useful when you have numerous alerts in an indicator or strategy and need to activate only a few of them. "Alert" is a string parameter. Alert = input.string('On', 'Alert', , 'If you turn on the Alert, you can receive alerts and notifications after setting the "Alert".', group = 'Alert') "AlertName" : This is a string parameter where you can enter the name you choose for your alert. AlertName = input.string('Order Blocks Finder ', 'Alert Name', group = 'Alert') "AlertType" : The inputs for this parameter are "Bullish" or "Bearish". If the condition selected in the "Condition" parameter is of a bullish bias, you should set this parameter to "Bullish", and if the condition is of a bearish bias, it should be set to "Bearish". "AlertType" is a string parameter. "DetectionType" : This parameter's predefined inputs include "Order Block Signal", "Signal", "Setup", and "Analysis". You may provide other inputs, but some functionalities, like "Key Price", might be lost. "DetectionType" is a string parameter. "SetupData" : If "DetectionType" is set to "Setup", you must specify "SetupData" as either "Basic" or "Full". In "Basic" mode, only the "Entry" price needs to be defined in the function, and "TP" (Take Profit) and "SL" (Stop Loss) can be any number or NA. In "Full" mode, you need to define "Entry", "SL", and "TP". "Setup" is a string parameter. "Frequency" : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar". Frequency = input.string('Once Per Bar', 'Message Frequency', , 'The triggering frequency. Possible values are: All (all function calls trigger the alert), Once Per Bar (the first function call during the bar triggers the alert), Per Bar Close (the function call triggers the alert only when it occurs during the last script iteration of the real-time bar, when it closes). The default is alert.freq_once_per_bar.', group = 'Alert') "UTC" : With this parameter, you can set the Time Zone for the date and time of the alert's dispatch. "UTC" is a string parameter and can be set as "UTC-4", "UTC+1", "UTC+9", or any other Time Zone. UTC = input.string('UTC', 'Show Alert time by Time Zone', group = 'Alert') "MoreInfo" : This parameter can take one of two inputs, "On" or "Off", which are strings. Additional information, including "Time" and "Key Price", is included. If set to "On", this information is received; if "Off", it is not displayed in the sent message. MoreInfo = input.string('On', 'Display More Info', , group = 'Alert') "Message" : This parameter captures the user's personal message through an input and displays it at the end of the sent message. It is a string input. MessageBull = input.text_area('Long Position', 'Long Signal Message', group = 'Alert') MessageBear = input.text_area('Short Position', 'Short Signal Message', group = 'Alert') "o" (Open Price): A floating-point number representing the opening price of the candle. This input is necessary when the "DetectionType" is set to "Signal". Otherwise, it can be any number or "na". "h" (High Price): A float variable for the highest price of the candle. Required when "DetectionType" is "Signal"; in other cases, any number or "na" is acceptable. "l" (Low Price): A float representing the lowest price of the candle. This field must be filled if "DetectionType" is "Signal". If not, it can be any number or "na". "c" (Close Price): A floating-point variable indicating the closing price of the candle. Needed for "Signal" type detections; otherwise, it can take any value or "na". "Entry" : A float variable indicating the entry price into a trading setup. This is relevant when "DetectionType" is in "Setup" mode. In other scenarios, it can be any number or "na". It denotes the price at which the trade setup is entered. "TP" (Take Profit): A float that is necessary when "DetectionType" is "Setup" and "SetupData" is "Full". Otherwise, it can be any number or "na". It signifies the price target for taking profits in a trading setup. "SL" (Stop Loss): A float required when "DetectionType" is "Setup" and "SetupData" is "Full". It can be any number or "na" in other cases. This value represents the price at which a stop loss is set to limit losses. "Distal" : A float important for "Order Block Signal" detection. It can be any number or "na" if not in use. This variable indicates the price reaching the distal line of an order block. "Proximal" : A float needed for "Order Block Signal" detection mode. It can take any value or "na" otherwise. It marks the price reaching the proximal line of an order block.

AdaptivePNLLibrary "Adaptive Profit And Loss" Provide Take profit and Stop loss values depending on source. TakeProfitPriceTypes()   Provides supported Take profit sources  Returns: Supported Take profit sources StopLossPriceTypes()   Provides supported Take profit sources  Returns: Supported Take profit sources Price(type)   Get price value by selected price type  Parameters:     type (string) : price type from @TakeProfitPriceTypes() or @StopLossPriceTypes()  Returns: Required price value. LinearProfit(initPerc, stepPerc)   Lineary changed profit  Parameters:     initPerc (float) : Initial profit value in percent unit     stepPerc (float) : Amount of change per every bar since last entry. Posiitive value will decrease profit in time.  Returns: Profit value lineary increased/decreased since last entry. If there is no opened trade, value is NaN AdaptedProfit(initPerc, stepPerc, source)   Profit adapted to lowest/highest value of given source and lineary changes after it  Parameters:     initPerc (float) : Initial profit value in percent unit     stepPerc (float) : Amount of change per every bar since last entry. Posiitive value will decrease profit in time.     source (float) : Source according to is profit adapted. If it reach high, profit is increased for long positions, same for low and short positions.  Returns: Profit value lineary increased/decreased and adjusted since last entry. If there is no active trade, value is NaN LinearStopLoss(initPerc, stepPerc)   Lineary changed stop loss  Parameters:     initPerc (float) : Initial stop loss value in percent unit     stepPerc (float) : Amount of change per every bar since last entry. Posiitive value will increase stop loss in time.  Returns: Stop loss value lineary increased/decreased since last entry. If there is no opened trade, value is NaN AdaptedStopLoss(initPerc, stepPerc, source)   Stop loss adapted to highest/lowest value of given source and lineary changes after it  Parameters:     initPerc (float) : Initial stop loss value in percent unit     stepPerc (float) : Amount of change per every bar since last entry. Posiitive value will increase stop loss in time.     source (float) : Source according to is stop loss adapted. If it reach high, stop loss is increased for long positions, same for low and short positions.  Returns: Stop loss value lineary increased/decreased and adjusted since last entry. If there is no active trade, value is NaN

Equity CurveAn equity curve is a graphical representation of the change in the value of a trading account over a time period. The equity curve is a direct reflection of a trading strategy's effectiveness. A consistently upward-trending equity curve indicates a successful strategy, while a flat or declining curve may signal the need for adjustment. This indicator takes traders daily account values as a comma separated list, and creates an equity curve and simple moving average of the equity curve. This serves as a mirror reflecting the outcome of past actions and decisions, guiding traders in fine-tuning their strategies, managing risk more effectively, and ultimately striving towards a consistently profitable trading journey.New equity values should be added to the end of the current list. A space or no space after the comma has no effect. Importance of the Equity Curve Strategy Evaluation: The equity curve is a direct reflection of a trading strategy's effectiveness over time. A consistently upward-trending equity curve indicates a successful strategy, while a flat or declining curve may signal the need for adjustment. Risk Management: Monitoring the equity curve helps traders to see the impact of their risk management practices. Sudden drops in equity could highlight instances of excessive risk-taking or inadequate stop-loss settings. Performance Benchmarks: Comparing the equity curve against benchmarks or desired performance goals allows traders to assess if they are meeting, exceeding, or falling short of their trading objectives. Psychology: Trading is as much about psychology as it is about strategy. A visual representation of one's equity curve helps maintain discipline, encouraging adherence to a trading plan during downturns and preventing overconfidence during upswings.Having this data visually allows traders to see which category of trader they fall into. Unprofitable Boom or Bust Profitable Statistical Data The indicator not only plots the equity curve and moving average, but includes the option to display the highest value reached by the equity curve, the percentage difference from the peak, and performance over selected periods (All Time, YTD, QTD, MTD, WTD). Historical Analysis The Equity Curve Indicator is not just a tool for real-time monitoring of trading performance; it also serves as a powerful instrument for conducting historical analysis. By analyzing the equity curve in conjunction with historical market conditions, traders can identify patterns or triggers that resulted in significant gains or losses. For example, the chart below shows the equity curve overlaid on periods of net new highs / lows. The equity curve experienced declines while the market was showing net new lows or choppy periods (represented by a red or white background), while most of the equity gains were made while net new highs were present (green background). This retrospective analysis helps in understanding how different market conditions impact trading strategies and performance. Trading the Equity Curve All trading strategies produce an equity curve that has winning and losing periods. In the example above, the trader could introduce a simple rule to lighten up on long positions or move to cash during periods of net new lows. Another simple rule could be introduced to stop trading if the equity curve falls below the moving average, until favorable market conditions return again. This indicator is intended to be used on the daily timeframe.

1000X Dual T3 Set to Any Time Frame1000X Dual T3 Set to Any Time FrameThe "1000X Dual T3 Set to Any Time Frame" is an enhancement of the well-known T3 indicator, building upon the T3 Average script by HPotter , which was itself based on Tim Wilson's work on smoothing techniques. This version provides two T3 lines, which is useful when adapting one each to the long and short trends on the same chart, with the added flexibility of setting the indicator to a higher time frame than the one you are currently trading. We also make the "b" value adjustable, creating a more sensitivity, adaptable indicator. This indicator is recommended as a trend filter or confirmation indicator in trading strategies. Key Features Dual Trend Analysis: The dual T3 offers a view of long and short trends to aid in better optimized market analysis. This avoids the problem with using a single T3 line to filter tradable price action for both long and short sides, which forces one to compromise performance in order to achieve profitability in both directions. Timeframe Customization: This indicator can be set to a desired timeframe while trading another. For example, the T3 can be set as a trend filter on the daily or weekly time frame to separate bull and bear markets, even as you work with other indicators on a chart set to a lower time frame. Set the time frame in the inputs, using minutes (15, 60, 240, etc.) or using D, W, and M. Preserved T3 Script: Like the powerful HPotter script on which it builds, this indicator leverages EMA-based T3 smoothing calculations for smooth and responsive trend lines. B Value adjustability: Given the role of the b value in smoothing and sensitivity, I have found it beneficial to make the b value an adjustable input as well. A higher b value will make the T3 line more responsive to recent price changes, making it closer to the actual price movements but potentially more susceptible to market noise. Visual Trend Indicators: In addition to filtering markets using the "above or below" approach, this script provides colour coding to delineate trend directions.AcknowledgmentsAs stated, this work is a tribute to the foundational contributions of Tim Wilson and the subsequent development by HPotter whose script was the basis of this one. The enhancements in this version aim to provide added value to the trading community.

TrippleMACDCryptocurrency Scalping Strategy for 1m TimeframeIntroduction:Welcome to our cutting-edge cryptocurrency scalping strategy tailored specifically for the 1-minute timeframe. By combining three MACD indicators with different parameters and averaging them, along with applying RSI, we've developed a highly effective strategy for maximizing profits in the cryptocurrency market. This strategy is designed for automated trading through our bot, which executes trades using hooks. All trades are calculated for long positions only, ensuring optimal performance in a fast-paced market.Key Components:MACD (Moving Average Convergence Divergence):We've utilized three MACD indicators with varying parameters to capture different aspects of market momentum.Averaging these MACD indicators helps smooth out noise and provides a more reliable signal for trading decisions.RSI (Relative Strength Index):RSI serves as a complementary indicator, providing insights into the strength of bullish trends.By incorporating RSI, we enhance the accuracy of our entry and exit points, ensuring timely execution of trades.Strategy Overview:Long Position Entries:Initiate long positions when all three MACD indicators signal bullish momentum and the RSI confirms bullish strength.This combination of indicators increases the probability of successful trades, allowing us to capitalize on uptrends effectively.Utilizing Linear Regression:Linear regression is employed to identify consolidation phases in the market.Recognizing consolidation periods helps us avoid trading during choppy price action, ensuring optimal performance.Suitability for Grid Trading Bots:Our strategy is well-suited for grid trading bots due to frequent price fluctuations and opportunities for grid activation.The strategy's design accounts for price breakthroughs, which are advantageous for grid trading strategies.Benefits of the Strategy:Consistent Performance Across Cryptocurrencies:Through rigorous testing on various cryptocurrency futures contracts, our strategy has demonstrated favorable results across different coins.Its adaptability makes it a versatile tool for traders seeking consistent profits in the cryptocurrency market.Integration of Advanced Techniques:By integrating multiple indicators and employing linear regression, our strategy leverages advanced techniques to enhance trading performance.This strategic approach ensures a comprehensive analysis of market conditions, leading to well-informed trading decisions.Conclusion:Our cryptocurrency scalping strategy offers a sophisticated yet user-friendly approach to trading in the fast-paced environment of the 1-minute timeframe. With its emphasis on automation, accuracy, and adaptability, our strategy empowers traders to navigate the complexities of the cryptocurrency market with confidence. Whether you're a seasoned trader or a novice investor, our strategy provides a reliable framework for achieving consistent profits and maximizing returns on your investment.

Kyrie Crossover ( @zaytradellc )Unlocking Market Dynamics: Kyrie Crossover Script by @zaytradellc personalized trading success with the "Kyrie Crossover" script, meticulously crafted by @zaytrade. This innovative Pine Script, tailored to the birthdays of Kyrie and the script creator, combines the power of technical analysis with a touch of personalization to revolutionize your trading experience.**Exponential Moving Average (EMA) Crossover Strategy:**At the heart of the "Kyrie Crossover" script lies a sophisticated EMA crossover strategy. By utilizing a 10-period EMA and a 323-period EMA (symbolizing long term price action ), the strategy effectively captures market trends with precision and insight.- **Short-Term EMA (10-period):** This EMA reacts swiftly to recent price changes, offering heightened sensitivity to short-term fluctuations. It excels in identifying immediate shifts in market sentiment, making it invaluable for pinpointing short-lived trends and potential reversal points.- **Long-Term EMA (323-period):** In contrast, the long-term EMA provides a broader perspective by smoothing out short-term noise and focusing on longer-term trend direction. Its extended length filters out market noise effectively, providing a clear representation of the underlying trend's momentum and sustainability.**Directional Movement Index (DMI) Metrics:**The "Kyrie Crossover" script goes beyond traditional indicators by incorporating DMI metrics across multiple timeframes. By assessing trend strength and direction, traders gain valuable insights into market dynamics, allowing for informed decision-making.**Simple Instructions to Profit:**1. **Identify EMA Crossovers:** Look for instances where the short-term EMA (10-period) crosses above the long-term EMA (323-period) for a bullish signal, indicating a potential buying opportunity. Conversely, a crossover where the short-term EMA crosses below the long-term EMA signals a bearish trend and a potential selling opportunity.2. **Confirm with DMI Metrics:** Validate EMA crossovers by checking DMI metrics across different timeframes (5 minutes, 15 minutes, 30 minutes, and 1 hour). Pay attention to color-coded indicators, with green indicating a bullish trend, red indicating a bearish trend, and white indicating no clear trend.3. **Manage Risk:** Implement proper risk management techniques, such as setting stop-loss orders and position sizing based on your risk tolerance and trading objectives.4. **Stay Informed:** Regularly monitor market conditions and adjust your trading strategy accordingly based on new signals and emerging trends.

ATR Bands with Optional Risk/Reward Colors█ OVERVIEWThis indicator projects ATR bands and, optionally, colors them based on a risk/reward advantage for those who trade breakouts/breakdowns using moving averages as partial or full exit points.█ DEFINITIONS► True RangeThe True Range is a measure of the volatility of a financial asset and is defined as the maximum difference among one of the following values:- The high of the current period minus the low of the current period.- The absolute value of the high of the current period minus the closing price of the previous period.- The absolute value of the low of the current period minus the closing price of the previous period.► Average True RangeThe Average True Range was developed by J. Welles Wilder Jr. and was introduced in his 1978 book titled "New Concepts in Technical Trading Systems". It is calculated as an average of the true range values over a certain number of periods (usually 14) and is commonly used to measure volatility and set stop-loss and profit targets (1).For example, if you are looking at a daily chart and you want to calculate the 14-day ATR, you would take the True Range of the previous 14 days, calculate their average, and this would be the ATR for that day. The process is then repeated every day to obtain a series of ATR values over time.The ATR can be smoothed using different methods, such as the Simple Moving Average (SMA), the Exponential Moving Average (EMA), or others, depending on the user's preferences or analysis needs.► ATR BandsThe ATR bands are created by adding or subtracting the ATR from a reference point (usually the closing price). This process generates bands around the central point that expand and contract based on market volatility, allowing traders to assess dynamic support and resistance levels and to adapt their trading strategies to current market conditions.█ INDICATOR► ATR BandsThe indicator provides all the essential parameters for calculating the ATR: period length, time frame, smoothing method, and multiplier.It is then possible to choose the reference point from which to create the bands. The most commonly used reference points are Open, High, Low, and Close, but you can also choose the commonly used candle averages: HL2, HLC3, HLCC4, OHLC4. Among these, there is also a less common "OC2", which represents the average of the candle body. Additionally, two parameters have been specifically created for this indicator: Open/Close and High/Low.With the "Open/Close" parameter, the upper band is calculated from the higher value between Open and Close, while the lower one is calculated from the lower value between Open and Close. In the case of bullish candles, therefore, the Close value is taken as the starting point for the upper band and the Open value for the lower one; conversely, in bearish candles, the Open value is used for the upper band and the Close value for the lower band. This setting can be useful for precautionally generating broader bands when trading with candlesticks like hammers or inverted hammers.The "High/Low" parameter calculates the upper band starting from the High and the lower band starting from the Low. Among all the available options, this one allows drawing the widest bands.Other possible options to improve the drawing of ATR bands, aligning them with the price action, are:• Doji Smoothing: When the current candle is a doji (having the same Open and Close price), the bands assume the values they had on the previous candle. This can be useful to avoid steep fluctuations of the bands themselves.• Extend to High/Low: Extends the bands to the High or Low values when they exceed the value of the band.• Round Last Cent: Expands the upper band by one cent if the price ends with x.x9, and the lower band if the price ends with x.x1. This function only works when the asset's tick is 0.01.► Risk/Reward AdvantageThe indicator optionally colors the ATR bands after setting a breakpoint, one or two risk/reward ratios, and a series of moving averages. This function allows you to know in advance whether entering a trade can provide an advantage over the risk. The band is colored when the ratio between the distance from the break point to the band and the distance from the break point to the first available moving average reaches at least the set ratio value. It is possible to set two colorings, one for a minimum risk/reward ratio and one for an optimal risk/reward ratio.The break point can be chosen between High/Low (High in case of breakout, Low in case of breakdown) or Open/Close (on breakouts, Close with bullish candles or Open with bearish candles; on breakdowns, Close with bearish candles or Open with bullish candles).It is possible to choose up to 10 moving averages of various types, including the VWAP with the Anchor Period (2).Depending on the "Price to MA" setting, the bands can be individually or simultaneously colored.By selecting "Single Direction," the risk/reward calculation is performed only when all moving averages are above or below the break point, resulting in only one band being colored at a time. For this reason, when the break point is in between the moving averages, the calculation is not executed. This setting can be useful for strategies involving price movement from a level towards a series of specific moving averages (for example, in reversals starting from a certain level towards the VWAP with possible partial take profits on some previous moving averages, or simply in trend following towards one or more moving averages).Choosing "Both Directions" the risk/reward ratio is calculated based on the first available moving averages both above and below the price. This setting is useful for those who operate in range bound markets or simply take advantage of movements between moving averages.█ NOTEThis script may not be suitable for scalping strategies that require immediate entries due to the inability to know the ATR of a candle in advance until its closure. Once the candle is closed, you should have time to place a stop or stop-limit order, so your strategy should not anticipate an immediate start with the next candle. Even more conveniently, if your strategy involves an entry on a pullback, you can place a limit order at the breakout level.(1) www.tradingview.com(2) For convenience, the code for the Anchor Period has been entirely copied from the VWAP code provided by TradingView.

Trailing Support and Resistance Zones

Long EMA Strategy with Advanced Exit OptionsThis strategy is designed for traders seeking a trend-following system with a focus on precision and adaptability.**Core Strategy Concept**The essence of this strategy lies in use of Exponential Moving Averages (EMAs) to identify potential long (buy) positions based on the relative positions of short-term, medium-term, and long-term EMAs. The use of EMAs is a classic yet powerful approach to trend detection, as these indicators smooth out price data over time, emphasizing the direction of recent price movements and potentially signaling the beginning of new trends.**Customizable Parameters**- **EMA Periods**: Users can define the periods for three EMAs - long-term, medium-term, and short-term - allowing for a tailored approach to capture trends based on individual trading styles and market conditions.- **Volatility Filter**: An optional Average True Range (ATR)-based volatility filter can be toggled on or off. When activated, it ensures that trades are only entered when market volatility exceeds a user-defined threshold, aiming to filter out entries during low-volatility periods which are often characterized by indecisive market movements.- **Trailing Stop Loss**: A trailing stop loss mechanism, expressed as a percentage of the highest price achieved since entry, provides a dynamic way to manage risk by allowing profits to run while cutting losses.- **EMA Exit Condition**: This advanced exit option enables closing positions when the short-term EMA crosses below the medium-term EMA, serving as a signal that the immediate trend may be reversing.- **Close Below EMA Exit**: An additional exit condition, which is disabled by default, allows positions to be closed if the price closes below a user-selected EMA. This provides an extra layer of flexibility and risk management, catering to traders who prefer to exit positions based on specific EMA thresholds.**Operational Mechanics**Upon activation, the strategy evaluates the current price in relation to the set EMAs. A long position is considered when the current price is above the long-term EMA, and the short-term EMA is above the medium-term EMA. This setup aims to identify moments where the price momentum is strong and likely to continue.The strategy's versatility is further enhanced by its optional settings:- The **Volatility Filter** adjusts the sensitivity of the strategy to market movements, potentially improving the quality of the entries during volatile market conditions. The Average True Range (ATR) is a key component of this filter, providing a measure of market volatility by calculating the average range between the high and low prices over a specified number of periods. Here's how you can adjust the volatility filter settings for various market conditions, focusing on filtering out low-volatility markets:Setting Examples for Volatility Filter1. High Volatility Markets (e.g., Cryptocurrencies, Certain Forex Pairs):ATR Periods: 14 (default)ATR Multiplier: Setting the multiplier to a lower value, such as 1.0 or 1.2, can be beneficial in high-volatility markets. This sensitivity allows the strategy to react to volatility changes more quickly, ensuring that you're entering trades during periods of significant movement.2. Medium Volatility Markets (e.g., Major Equity Indices, Medium-Volatility Forex Pairs):ATR Periods: 14 (default)ATR Multiplier: A multiplier of 1.5 (default) is often suitable for medium volatility markets. It provides a balanced approach, ensuring that the strategy filters out low-volatility conditions without being overly restrictive.3. Low Volatility Markets (e.g., Some Commodities, Low-Volatility Forex Pairs):ATR Periods: Increasing the ATR period to 20 or 25 can smooth out the volatility measure, making it less sensitive to short-term fluctuations. This adjustment helps in focusing on more significant trends in inherently stable markets.ATR Multiplier: Raising the multiplier to 2.0 or even 2.5 increases the threshold for volatility, effectively filtering out low-volatility conditions. This setting ensures that the strategy only triggers trades during periods of relatively higher volatility, which are more likely to result in significant price movements.How to Use the Volatility Filter for Low-Volatility MarketsFor traders specifically interested in filtering out low-volatility markets, the key is to adjust the ATR Multiplier to a higher level. This adjustment increases the threshold required for the market to be considered sufficiently volatile for trade entries. Here's a step-by-step guide:Adjust the ATR Multiplier: Increase the ATR Multiplier to create a higher volatility threshold. A multiplier of 2.0 to 2.5 is a good starting point for very low-volatility markets.Fine-Tune the ATR Periods: Consider lengthening the ATR calculation period if you find that the strategy is still entering trades in undesirable low-volatility conditions. A longer period provides a more averaged-out measure of volatility, which might better suit your needs.Monitor and Adjust: Volatility is not static, and market conditions can change. Regularly review the performance of your strategy in the context of current market volatility and adjust the settings as necessary.Backtest in Different Conditions: Before applying the strategy live, backtest it across different market conditions with your adjusted settings. This process helps ensure that your approach to filtering low-volatility conditions aligns with your trading objectives and risk tolerance.By fine-tuning the volatility filter settings according to the specific characteristics of the market you're trading in, you can enhance the performance of this strategy- The **Trailing Stop Loss** and **EMA Exit Conditions** provide two layers of exit strategies, focusing on capital preservation and profit maximization.**Visualizations**For clarity and ease of use, the strategy plots the three EMAs and, if enabled, the ATR threshold on the chart. These visual cues not only aid in decision-making but also help in understanding the market's current trend and volatility state.**How to Use**Traders can customize the EMA periods to fit their trading horizon, be it short, medium, or long-term trading. The volatility filter and exit options allow for further customization, making the strategy adaptable to different market conditions and personal risk tolerance levels.By offering a blend of trend-following principles with advanced risk management features, this strategy aims to cater to a wide range of trading styles, from cautious to aggressive. Its strength lies in its flexibility, allowing traders to fine-tune settings to their specific needs, making it a potentially valuable tool in the arsenal of any trader looking for a disciplined approach to navigating the markets.

Previous Key Levels [UAlgo]🔶Description: "Previous Key Levels " serves as an indicator to identify and visualize previous key levels in the price action of financial instruments. These key levels include previous highs, lows, equilibrium points, and open prices across different timeframes such as daily, weekly, and monthly. 🔶Key Features: Users have the flexibility to customize the visibility of these levels based on their preferences, including options to show only the last key levels or display all previous levels. The indicator also offers visual customization features allowing users to adjust colors for various elements such as highs, lows, equilibrium, and open prices. Customizable Timeframes: Users can select their preferred timeframe (e.g., daily, weekly, monthly) to analyze previous key levels. Flexible Visibility Options: Users can choose to display only the last key levels or show all previous levels based on their trading strategies. Visual Customization: The indicator provides customizable color options for visual elements such as highs, lows, equilibrium, and open prices, allowing users to tailor the display to their preferences. Disclaimer: Not Financial Advice: This script is provided for educational purposes only and should not be considered financial advice. Traders should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions based on this script. Risk of Loss: Trading in financial markets involves risk of loss, and past performance is not indicative of future results. Users of this script should be aware of the risks involved in trading and should only trade with capital they can afford to lose. No Guarantees: There is no guarantee of success or profitability when using this script. Market conditions can change rapidly, and trading results may vary. Use at Own Risk: The author of this script (UAlgo) does not assume any responsibility for losses incurred as a result of using this script. Traders use this script at their own risk and discretion.

Ichimoku Slope Filtered Signals [UAlgo] 🔶Description: The "Ichimoku Slope Filtered Signals" indicator is designed to provide trading signals based on the Ichimoku Cloud indicator while incorporating a slope filter. The Ichimoku Cloud is a comprehensive indicator that defines support and resistance, identifies trend direction, and provides trading signals. This script enhances the traditional Ichimoku Cloud signals by incorporating a slope filter, which helps to confirm the strength and direction of the trend. 🔶Key Features: Ichimoku Cloud Parameters: Users can customize parameters such as Tenkan, Kijun, and Senkou Span lengths, along with multipliers, to adjust the sensitivity of the Ichimoku Cloud. Slope Filter Settings: Users can specify the number of bars to measure the slope and the lookback period for trend measurement. Additionally, there are options to filter Ichimoku signals based on slope thresholds. Normalized Slope: The indicator calculates the normalized slope of the selected data series (in this case, Tenkan-sen) and plots it alongside the Ichimoku Cloud. Signal Generation: Trading signals are generated based on crossovers and crossunders of the Tenkan-sen and Kijun-sen lines of the Ichimoku Cloud. These signals can be further filtered based on the normalized slope of the selected data series. 🔶 Usage: Customization: Traders can customize the parameters of the Ichimoku Cloud and slope filter according to their trading strategy and risk tolerance. Interpretation of Signals: Crossover: A buy signal is generated when the Tenkan-sen line crosses above the Kijun-sen line. This signal can be further filtered based on the normalized slope. Crossunder: A sell signal is generated when the Tenkan-sen line crosses below the Kijun-sen line. Similar to the buy signal, this can also be filtered based on the normalized slope. Trend Confirmation: The normalized slope provides additional confirmation of the strength and direction of the trend. A positive slope indicates an upward trend, while a negative slope indicates a downward trend. Example: Disclaimer: Not Financial Advice: This script is provided for educational purposes only and should not be considered financial advice. Traders should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions based on this script.Risk of Loss: Trading in financial markets involves risk of loss, and past performance is not indicative of future results. Users of this script should be aware of the risks involved in trading and should only trade with capital they can afford to lose.No Guarantees: There is no guarantee of success or profitability when using this script. Market conditions can change rapidly, and trading results may vary.Use at Own Risk: The author of this script (UAlgo) does not assume any responsibility for losses incurred as a result of using this script. Traders use this script at their own risk and discretion.Terms of Use: This script is subject to the terms of the Mozilla Public License 2.0. Users are encouraged to review the license terms before using or distributing the script.

LIT - Timings Fx MartinThe Asia Liquidity Points Indicator is a powerful tool designed for traders to identify key liquidity points during the Asia trading session. This script is tailored specifically to aid traders in capitalizing on the unique characteristics of Asian markets, providing invaluable insights into liquidity zones that can significantly enhance trading decisions.Key Features:Asia Session Focus: The indicator focuses exclusively on the Asia trading session, which encompasses the trading activity primarily in the Asian markets such as Tokyo, Hong Kong, Singapore, and others.Liquidity Zones Identification: The script utilizes advanced algorithms to identify and map out liquidity zones within the Asia trading session. These zones represent areas where significant buying or selling pressure is likely to occur, thus presenting lucrative trading opportunities.Customizable Parameters: Traders have the flexibility to customize various parameters such as time frame, sensitivity, and display options to suit their trading preferences and strategies.Visual Alerts: The indicator provides visual alerts on the trading chart, clearly indicating the location and strength of liquidity points. This feature enables traders to quickly identify potential entry or exit points based on the liquidity dynamics in the market.Real-Time Updates: The script continuously monitors market activity during the Asia session, providing real-time updates on liquidity points as they evolve. This ensures traders stay informed and adaptable to changing market conditions.Integration with Trading Strategies: The Asia Liquidity Points Indicator seamlessly integrates with various trading strategies, serving as a valuable tool for both discretionary and algorithmic traders. Whether used in isolation or in combination with other technical analysis tools, this indicator can enhance trading performance and profitability.User-Friendly Interface: The indicator boasts a user-friendly interface, making it accessible to traders of all levels of experience. Whether you are a novice trader or a seasoned professional, you can easily incorporate this tool into your trading arsenal.In conclusion, the Asia Liquidity Points Indicator offers traders a strategic advantage in navigating the nuances of the Asia trading session. By identifying key liquidity zones and providing real-time insights, this script empowers traders to make informed decisions and capitalize on lucrative trading opportunities in the dynamic Asian markets.

Quan Channel - Quan DaoI tried several channels, like the supertrend, ATR, Donchian or Bollingers, but they do not seem to fit my needs.So I created a new channel to PREDICT the next impulse move of a price.The current value of the top or bottom of the channel is based on 2 previous candles (not the candle itself), and it takes into account:- The Direction of the previous candles (red or green) and- The Width of their bodiesIn my channel, the top or bottom lines will cover the price movement most of the time. But in some cases, when the price is on a big move, it will go out of the channel. And this is the time we need to consider a buy/sell (or take some profit) as well (not necessarily 100% of the time, though).Personally, I like to use another oscillator in combination with this channel to predict whether it will reverse after the breakouts or continue to make another peak. If you are a DCA or long-term investor, I guess it would be safe to buy at the blue signals (out of bottom) and take some profits at the orange signals (out of top).I also added an alert when the price breaks out of the channel for easier tracking.

Timely Opening Range Breakout Strategy [TORB] (Zeiierman)█ Overview The Timely Opening Range Breakout (TORB) indicator builds upon the classic Open Range Breakout (ORB) concept. The ORB strategy is a popular trading setup used to identify trades around the opening range of an asset. It's based on the idea that the first few minutes (15-60 minutes) of trading often set the tone for the rest of the day, with breakouts above or below the opening range signifying potential trends. TORB refines the concept by stating that a trade is only valid if there is sufficient market activity. This means a breakout beyond the upper or lower range is only of interest during the most active trading hours, as defined by PMMV (Per-Minute Mean Volume) █ How It Works ORB The indicator works by first defining a session's opening range based on user-specified settings, including the session's start and end times and the applicable time zone. During this session, it calculates the high and low price points, which form the basis for identifying potential breakout levels. PMMV PMMV (Per-Minute Mean Volume) provides a snapshot of the market's activity level at each minute of the trading day. PMMV is calculated by averaging the trading volume in a one-minute interval over a specified number of trading days. This script uses the average volume over the last N periods to determine the PMMV value. This average volume provides a smoother representation of volume activity compared to using a single volume value. It considers the volume over a broader timeframe, filtering out short-term fluctuations and potentially offering a more reliable indicator of underlying market activity. TORB TORB works by integrating the Opening Range Breakout (ORB) highs and lows with the Per-Minute Mean Volume (PMMV) metric to assess the validity of breakouts. The objective is to identify breakouts from the opening high and low levels during periods of heightened market activity, as indicated by PMMV.█ How to Use To effectively utilize the Timely Opening Range Breakout (TORB) strategy, follow these steps: Identify Active Hours: Employ PMMV to pinpoint periods of peak activity within the trading day. Apply Basic ORB Rules: If the price surpasses the upper range (resistance), buy; if it breaches the lower range (support), sell. Breakouts The TORB strategy identifies breakout signals when the price moves beyond the established range, supported by volume exceeding a set threshold. This technique aims to eliminate false signals, focusing on price movements during high market activity. █ Settings Session Trading Session: Customize the trading session's start and end times. Volume Volume analysis is integral to the TORB strategy, as it uses volume data to confirm the strength and validity of breakout signals. Period: Sets the number of periods (or bars) to calculate the average volume, which is then used to assess market activity level. Sensitivity and Significance: Adjusts how responsive the volume analysis is to changes in trading volume. By adjusting the sensitivity, traders can decide how much emphasis to place on volume spikes, potentially reducing false breakouts and focusing on those supported by significant trading activity. Breakout Threshold This setting establishes a criterion to identify when the price movement is significant enough. Threshold: Traders set a threshold level to identify high market activity. If the PMMV is greater than or equal to this threshold, it indicates significant market activity. Setting the correct threshold is key to balancing sensitivity and specificity. Too low of a threshold may lead to many false positives, while too high of a threshold might filter out potentially profitable breakouts. This setting helps in pinpointing when market activity indicates a strong move, thereby aligning trade entries with moments of heightened market momentum. -----------------DisclaimerThe information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!

UP DOWN Indicator 1Title: UP DOWN Indicator based on ADX Strategy - Accurate Signal Provider with Enhanced Success Potential Description: The Martingale ADX Indicator is a groundbreaking tool meticulously crafted to offer traders unparalleled precision in signal generation and risk management. Leveraging the power of the Average Directional Index (ADX), this indicator provides 100% non-repaint signals on the current candle, guiding traders to opportune and prepare for trade entry with remarkable accuracy.With a focus on empowering traders across various financial markets, including Forex and Binary Options, this ADX Strategy-1 Indicator introduces a unique approach to trading dynamics. By seamlessly integrating the renowned Martingale Step-1 risk management strategy, this indicator not only minimizes losses but also enhances the potential for success, even in volatile market conditions. Key Features: Non-Repaint Signals: The Martingale ADX Indicator stands as a testament to reliability, offering 100% non-repaint signals. Traders can trust in the consistency and not removing losing Signals which is very important to trust the previous generated signals also, eliminating uncertainties and facilitating confident decision-making. ADX-Based Precision: Built upon the robust framework of the Average Directional Index (ADX), this indicator delivers precise signals tailored to prevailing market trends and volatility levels. Whether trading in longer timeframes or engaging in Binary Options, traders can rely on the Martingale Step-1 ADX Indicator for superior insights. Next Candle Trading: Seamlessly integrated into trading strategies, signals from the Martingale ADX Indicator prompt action on the subsequent candle. This real-time approach ensures traders stay ahead of market movements, seizing opportunities as they emerge. Giving Signals Once Candle ahead makes traders to prepare early and decide whether they want to enter the trade on presented Signal or not as per their own experience too. If the trading candle is loss then the very next candle shall be used for taking Martingale Sep-1 to enhance the Accuracy. Enhanced Success Potential: With Martingale Step-1 risk management, this ADX Indicator offers more than just signal accuracy – it presents the potential for heightened success rates. Through strategic position sizing and leveraging experience and Price Action insights, traders can elevate overall accuracy to levels ranging from 80% to 90%. Conclusion: The UP DOWN Strategy-1 Indicator represents a paradigm shift in trading technology, combining precision signal generation with advanced risk management strategies. Whether you're a seasoned trader or just starting your journey, this indicator empowers you to navigate financial markets with confidence and achieve consistent results.Experience the difference with the Martingale ADX Indicator – where reliability meets profitability, and success becomes attainable with every trade.Trade wisely, and may your ventures be marked by prosperity and fulfillment.Pardon for any descriptive language grammatical error and comment about this indicator and to get my other strategy as well. Happy trading !! Risk Disclaimer: Trading in financial markets carries inherent risks and should be approached with caution. It is imperative to exercise sound judgment and trade only with funds that you can afford to lose. We strongly advise against using borrowed funds for trading purposes. First practice on demo for own learning then make decision wisely.

AI SuperTrend x Pivot Percentile - Strategy [PresentTrading]█ Introduction and How it is DifferentThe AI SuperTrend x Pivot Percentile strategy is a sophisticated trading approach that integrates AI-driven analysis with traditional technical indicators. Combining the AI SuperTrend with the Pivot Percentile strategy highlights several key advantages:1. Enhanced Accuracy in Trend Prediction: The AI SuperTrend utilizes K-Nearest Neighbors (KNN) algorithm for trend prediction, improving accuracy by considering historical data patterns. This is complemented by the Pivot Percentile analysis which provides additional context on trend strength.2. Comprehensive Market Analysis: The integration offers a multi-faceted approach to market analysis, combining AI insights with traditional technical indicators. This dual approach captures a broader range of market dynamics.BTC 6H L/S Performance Local █ Strategy: How it Works - Detailed Explanation🔶 AI-Enhanced SuperTrend Indicators1. SuperTrend Calculation: - The SuperTrend indicator is calculated using a moving average and the Average True Range (ATR). The basic formula is: - Upper Band = Moving Average + (Multiplier × ATR) - Lower Band = Moving Average - (Multiplier × ATR) - The moving average type (SMA, EMA, WMA, RMA, VWMA) and the length of the moving average and ATR are adjustable parameters. - The direction of the trend is determined based on the position of the closing price in relation to these bands.2. AI Integration with K-Nearest Neighbors (KNN): - The KNN algorithm is applied to predict trend direction. It uses historical price data and SuperTrend values to classify the current trend as bullish or bearish. - The algorithm calculates the 'distance' between the current data point and historical points. The 'k' nearest data points (neighbors) are identified based on this distance. - A weighted average of these neighbors' trends (bullish or bearish) is calculated to predict the current trend.For more please check: Multi-TF AI SuperTrend with ADX - Strategy 🔶 Pivot Percentile Analysis1. Percentile Calculation: - This involves calculating the percentile ranks for high and low prices over a set of predefined lengths. - The percentile function is typically defined as: - Percentile = Value at (P/100) × (N + 1)th position - Where P is the desired percentile, and N is the number of data points.2. Trend Strength Evaluation: - The calculated percentiles for highs and lows are used to determine the strength of bullish and bearish trends. - For instance, a high percentile rank in the high prices may indicate a strong bullish trend, and vice versa for bearish trends.For more please check: Pivot Percentile Trend - Strategy 🔶 Strategy Integration1. Combining SuperTrend and Pivot Percentile: - The strategy synthesizes the insights from both AI-enhanced SuperTrend and Pivot Percentile analysis. - It compares the trend direction indicated by the SuperTrend with the strength of the trend as suggested by the Pivot Percentile analysis.2. Signal Generation: - A trading signal is generated when both the AI-enhanced SuperTrend and the Pivot Percentile analysis agree on the trend direction. - For instance, a bullish signal is generated when both the SuperTrend is bullish, and the Pivot Percentile analysis shows strength in bullish trends.🔶 Risk Management and Filters- ADX and DMI Filter: The strategy uses the Average Directional Index (ADX) and the Directional Movement Index (DMI) as filters to assess the trend's strength and direction.- Dynamic Trailing Stop Loss: Based on the SuperTrend indicator, the strategy dynamically adjusts stop-loss levels to manage risk effectively.This strategy stands out for its ability to combine real-time AI analysis with established technical indicators, offering traders a nuanced and responsive tool for navigating complex market conditions. The equations and algorithms involved are pivotal in accurately identifying market trends and potential trade opportunities.█ UsageTo effectively use this strategy, traders should:1. Understand the AI and Pivot Percentile Indicators: A clear grasp of how these indicators work will enable traders to make informed decisions.2. Interpret the Signals Accurately: The strategy provides bullish, bearish, and neutral signals. Traders should align these signals with their market analysis and trading goals.3. Monitor Market Conditions: Given that this strategy is sensitive to market dynamics, continuous monitoring is crucial for timely decision-making.4. Adjust Settings as Needed: Traders should feel free to tweak the input parameters to suit their trading preferences and to respond to changing market conditions.█Default Settings and Their Impact on Performance1. Trading Direction (Default: "Both")Effect: Determines whether the strategy will take long positions, short positions, or both. Adjusting this setting can align the strategy with the trader's market outlook or risk preference.2. AI Settings (Neighbors: 3, Data Points: 24)Neighbors: The number of nearest neighbors in the KNN algorithm. A higher number might smooth out noise but could miss subtle, recent changes. A lower number makes the model more sensitive to recent data but may increase noise.Data Points: Defines the amount of historical data considered. More data points provide a broader context but may dilute recent trends' impact.3. SuperTrend Settings (Length: 10, Factor: 3.0, MA Source: "WMA")Length: Affects the sensitivity of the SuperTrend indicator. A longer length results in a smoother, less sensitive indicator, ideal for long-term trends.Factor: Determines the bandwidth of the SuperTrend. A higher factor creates wider bands, capturing larger price movements but potentially missing short-term signals.MA Source: The type of moving average used (e.g., WMA - Weighted Moving Average). Different MA types can affect the trend indicator's responsiveness and smoothness.4. AI Trend Prediction Settings (Price Trend: 10, Prediction Trend: 80)Price Trend and Prediction Trend Lengths: These settings define the lengths of weighted moving averages for price and SuperTrend, impacting the responsiveness and smoothness of the AI's trend predictions.5. Pivot Percentile Settings (Length: 10)Length: Influences the calculation of pivot percentiles. A shorter length makes the percentile more responsive to recent price changes, while a longer length offers a broader view of price trends.6. ADX and DMI Settings (ADX Length: 14, Time Frame: 'D')ADX Length: Defines the period for the Average Directional Index calculation. A longer period results in a smoother ADX line.Time Frame: Sets the time frame for the ADX and DMI calculations, affecting the sensitivity to market changes.7. Commission, Slippage, and Initial CapitalThese settings relate to transaction costs and initial investment, directly impacting net profitability and strategy feasibility.

mikul's Ichimoku Cloud Strategy v 2.0This is an Ichimoku cloud (long) strategy with both pump signals and trend signals.It has both ATR stop loss, trailing percentage stop loss and also ichomoku cloud exit signal.You can also combine the ATR stop loss and the trailing percentage stop loss with the Ichimoku cloud exit signal and a the take profit percentage. In this example I use the default ATR stop loss method for taking profit.10000$ is my initial capital and I risking 10% every trade. Commission is set to 0.075%.Everything is set to default in this example.There is also a moving average filter that is available, set to 200 EMA and turned off by default. Conditions for taking a long position: Trend Signal: • Positive cross above the cloud• Chikou span(lagging span) above price action• Price above the Cloud Pump Signal: • Cloud ahead of you is green• Price above the cloud• Positive cross (Doesn’t Matter Where)• Chikou span(lagging span) above the cloud Ichimoku cloud exit signals: • Negative cross • Chikou span(lagging span) touches the price actionThis strategy is totally free as freedom and as in free beer!I do this for myself, but I like sharing and I want everyone to have the ability to use what I make no matter your economic situation.If you have any suggestions for this strategy or perhaps any filtering options that could be fun to experiment with, then please leave a comment with your suggestion and maybe I can add it to the next version.

ATH Gain PotentialThe indicator quantifies the relative position of a symbol's current closing price in relation to its historical all-time high (ATH).By evaluating the ratio between the ATH and the present closing price, it provides an analytical framework to estimate the potential gains that could accrue if the symbol were to revert to its ATH from a specified reference point. The ratio serves as a quantitative measure for assessing the distance between the current market value and the symbol's historical peak, enabling investors to gauge the prospective profitability of a return to the ATH.

Financials - Quick OverviewThis unique indicator is designed to provide traders and investors with a concise yet comprehensive view of a company's financial health and sector classification. It features an intuitive table displayed prominently on the chart, offering a blend of essential company information and key financial metrics. This tool is ideal for those looking to integrate fundamental analysis into their technical trading strategy. Key Features: Company Sector Information: Get a quick glimpse of the company's industry sector, aiding in understanding its market position and comparative performance within its industry. Financial Overview: The table includes vital financial data such as Earnings and Sales, providing insights into the company's revenue and profitability. Growth Metrics: Track both quarter-over-quarter (QoQ) and year-over-year (YoY) growth, offering a dynamic view of the company's performance over time. Operating Margin Percentage (OPM%): Understand the efficiency of the company's operations with the OPM%, which indicates the proportion of revenue that remains after paying for variable costs of production. Price-to-Earnings (PE) Ratio: Assess the company's stock value relative to its earnings, an essential metric for valuation and comparative analysis within the sector. Usage: This indicator is particularly useful for investors and traders who incorporate fundamental analysis into their decision-making process. By providing key financial data directly on the chart, it allows for a more integrated approach to technical and fundamental analysis. The indicator is designed to be straightforward and easy to interpret, making it suitable for both seasoned investors and those new to financial analysis.