Stop Loss / Take Profit Table// (\_/)
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📈 Introducing the Stop Loss / Take Profit Table Indicator! 📈
Enhance your trading strategy with our powerful Stop Loss / Take Profit Table indicator, designed for traders in the Crypto, Stock, and Forex markets. This easy-to-use tool helps you manage risk and maximize profits by clearly displaying your Stop Loss and Take Profit levels based on your trading position.
Key Features:
Custom Asset Types: Choose between Crypto, Stock, or Forex to tailor the indicator to your specific trading style.
Dynamic Stop Loss & Take Profit Calculation: Set your desired Stop Loss percentage, and the indicator will automatically calculate your Stop Loss and two Take Profit levels based on different timeframes (1 min to 240 min).
Position Type Flexibility: Whether you're trading Long or Short, the indicator adjusts the calculations accordingly, providing you with precise price levels for effective risk management.
Visual Representation: Stop Loss and Take Profit levels are marked directly on the chart with distinctive horizontal lines in vibrant colors for easy reference.
Informative Table Display: A dedicated table displayed on the chart shows your asset type, position type, and calculated prices for Stop Loss and Take Profit levels, ensuring you have all critical data at a glance.
Alert Notifications: Stay informed with optional alerts that signal when your Stop Loss or Take Profit levels are hit, allowing you to react swiftly in fast-moving markets.
Why Use This Indicator?
Managing your trades is critical for success in the financial markets. With our Stop Loss / Take Profit Table, you can easily set your parameters and visually track your risk and reward levels, making it a practical addition to any trader's toolkit.
Get started today and take control of your trading strategy! ✨
Happy trading! 📊🚀
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Z PLUS table take profit & Stop lose ### General Description:
The **Z PLUS Take Profit & Stop Loss** indicator is designed to provide traders with a structured approach to setting take profit (TP) and stop loss (SL) levels. It integrates multiple technical analysis techniques, including moving averages, the Relative Strength Index (RSI), and the Average True Range (ATR), to generate signals for potential trade entries and exits.
Key features of this indicator include:
1. **Trend Detection** – Uses a moving average-based strategy combined with RSI confirmation to determine bullish or bearish trends. The system identifies trend reversals and signals potential long (buy) or short (sell) opportunities.
2. **ATR-Based Stop Loss** – Implements an adaptive stop-loss mechanism that adjusts dynamically based on market volatility. This ensures that stop losses are positioned in a way that minimizes premature exits while still protecting against excessive losses.
3. **Swing High & Swing Low Take Profit Levels** – Incorporates a swing high and swing low detection method to identify key levels for taking profits. These levels help traders optimize their risk-reward ratios.
4. **ADX for Trend Strength Confirmation** – Utilizes the Average Directional Index (ADX) to determine the strength of the trend and adjust stop-loss levels accordingly. The indicator differentiates between strong and weak trends to enhance decision-making.
5. **Visual Signals & Color Coding** – Provides visual cues such as colored stop-loss lines and plotted take-profit markers to enhance usability. The indicator dynamically updates these levels based on price movements.
6. **Flexible Configuration** – Allows users to modify key parameters such as ATR length, sensitivity factors, and profit target percentages to tailor the strategy to their specific trading style and market conditions.
This indicator is best suited for traders looking to improve their risk management strategies while maintaining a structured approach to profit-taking and stop-loss placement.
Moving Average Crossover Strategy with Take Profit and Stop LossThe Moving Average Crossover Strategy is a popular trading technique that utilizes two moving averages (MAs) of different periods to identify potential buy and sell signals. By incorporating take profit and stop loss levels, traders can effectively manage their risk while maximizing potential returns. Here’s a detailed explanation of how this strategy works:
Overview of the Moving Average Crossover Strategy
Moving Averages:
A short-term moving average (e.g., 50-day MA) reacts more quickly to price changes, while a long-term moving average (e.g., 200-day MA) smooths out price fluctuations over a longer period.
The strategy generates trading signals based on the crossover of these two averages:
Buy Signal: When the short-term MA crosses above the long-term MA (often referred to as a "Golden Cross").
Sell Signal: When the short-term MA crosses below the long-term MA (known as a "Death Cross").
Implementing Take Profit and Stop Loss
1. Setting Take Profit Levels
Definition: A take profit order automatically closes a trade when it reaches a specified profit level.
Strategy:
Determine a realistic profit target based on historical price action, support and resistance levels, or a fixed risk-reward ratio (e.g., 2:1).
For instance, if you enter a buy position at $100, you might set a take profit at $110 if you anticipate that level will act as resistance.
2. Setting Stop Loss Levels
Definition: A stop loss order limits potential losses by closing a trade when the price reaches a specified level.
Strategy:
Place the stop loss just below the most recent swing low for buy orders or above the recent swing high for sell orders.
Alternatively, you can use a percentage-based method (e.g., 2-3% below the entry point) to define your stop loss.
For example, if you enter a buy position at $100 with a stop loss set at $95, your maximum loss would be limited to $5 per share.
Example of Using Moving Average Crossover with Take Profit and Stop Loss
Entry Signal:
You observe that the 50-day MA crosses above the 200-day MA at $100. You enter a buy position.
Setting Take Profit and Stop Loss:
You analyze historical price levels and set your take profit at $110.
You place your stop loss at $95 based on recent swing lows.
Trade Management:
If the price rises to $110, your take profit order is executed, securing your profit.
If the price falls to $95, your stop loss is triggered, limiting your losses.
Bullrun Profit Maximizer [QuantraSystems]Bullrun Profit Maximizer
Quantra Systems guarantees that the information created and published within this document and on the Tradingview platform is fully compliant with applicable regulations, does not constitute investment advice, and is not exclusively intended for qualified investors.
Important Note!
The system equity curve presented here has been generated as part of the process of testing and verifying the methodology behind this script.
Crucially, it was developed after the system was conceptualized, designed, and created, which helps to mitigate the risk of overfitting to historical data. In other words, the system was built for robustness, not for simply optimizing past performance.
This ensures that the system is less likely to degrade in performance over time, compared to hyper optimized systems that are tailored to past data. No tweaks or optimizations were made to this system post backtest.
Even More Important Note!!
The nature of markets is that they change quickly and unpredictably. Past performance does not guarantee future results - this is a fundamental rule in trading and investing.
While this system is designed with broad, flexible conditions to adapt quickly to a range of market environments, it is essential to understand that no assumptions should be made about future returns based on historical data. Markets are inherently uncertain, and this system - like all trading systems - cannot predict future outcomes.
Introduction
The "Adaptive Pairwise Momentum System" is not a prototype to the Bullrun Profit Maximizer (BPM) . The Bullrun Profit Maximizer is a fully re-engineered, higher frequency momentum system.
The Bullrun Profit Maximizer (BPM) uses a completely different filter logic and refines momentum calculations, specifically to support higher frequency trading on Crypto's Blue Chip assets. It correctly calculates fees and slippage by compounding them against System Profit before plotting the equity curve.
Unlike prior systems, this script utilizes a completely new filter logic and refined momentum calculation, specifically built to support higher frequency trading on blue-chip assets, while minimizing the impact of fees and slippage.
While the APMS focuses on Macro Trend Alignment, the BPM instead applies an equity curve based filter, allowing for targeted precision on the current asset’s trend without relying on broader market conditions. This approach delivers more responsive and asset specific signals, enhancing agility in today’s fast paced crypto markets.
The BPM dynamically optimizes capital allocation across up to four high performing assets, ensuring that the portfolio adapts swiftly to changing market conditions. The system logic consists of sophisticated quantitative methods, rapid momentum analysis and alpha cyclicality/seasonality optimizations. The overarching goal is to ensure that the portfolio is always invested in the highest performing asset based on dynamic market conditions, while at the same time managing risk through rapid asset filters and internal mechanisms like alpha cyclicality, volatility and beta analysis.
In addition to these core functionalities, the BPM comes with the typical Quantra Systems UI design, structured to reduce data clutter and provide users with only the most essential, impactful information. The BPM UI format delivers clear and easy to read signals. It enables rapid decision making in a high frequency environment without compromising on depth or accuracy.
Bespoke Logic Filtering with Equity Curve Precision
The BPM script utilizes a completely new methodology and focuses on intraday rotations of blue-chip crypto assets, while previously built systems were designed with a longer term focus in mind.
In response to the need for more precise signal generation, the BPM replaces the previous macro trend filter with a new, highly specific equity curve activation filter. This unique logic filter is driven solely by the performance trends of the asset currently held by the system. By analyzing the equity curve directly, this system can make more targeted, timely allocations based on asset specific momentum, allowing for quick adjustments that are more relevant to the held asset rather than general market conditions.
The benefits of this new, unique approach are twofold: first, it avoids premature allocation shifts based on broader macro movements, and second, it enables the system to adapt dynamically to the performance of each asset individually. This asset specific filtering allows traders to capitalize on localized strength within individual blue-chip cryptoassets without being affected by lags in the overall market trend.
High Frequency Momentum Calculation for Enhanced Flexibility
The BPM incorporates a newly designed momentum calculation that increases its suitability across lower timeframes. This new momentum indicator captures and processes more data points within a shorter window than ever before, rather than extending bar intervals and potentially losing high frequency detail. This creates a smooth, data rich featureset that is especially suited for blue-chip assets, where liquidity reduces slippage and fees, making higher frequency trading viable.
By retaining more data, this system captures subtle shifts in momentum more effectively than traditional approaches, offering higher resolution insights. These modifications result in a system capable of generating highly responsive signals on faster timeframes, empowering traders to act quickly in volatile markets.
User Interface and Enhanced Readability
The BPM also features a reimagined, streamlined user interface, making it easier than ever to monitor essential signals at a glance. The new layout minimizes extraneous data points in the tables, leaving only the most actionable information for traders. This cleaner presentation is purpose built to help traders identify the strongest asset in real time, with clear, color coded signals to facilitate swift decision making in fast moving markets.
Equity Stats Table : Designed for clarity, the stats table focuses on the current allocation’s performance metrics, emphasizing the most critical metrics without unnecessary clutter.
Color Coded Highlights : The interface includes the option to highlight both the current top performing asset, and historical allocations - with indicators of momentum shifts and performance metrics readily accessible.
Clear Signals : Visual cues are presented in an enhanced way to improve readability, including simplified line coloring, and improve visualization of the outperforming assets in the allocation table.
Dynamic Asset Reallocation
The BPM dynamically allocates capital to the strongest performing asset in a selected pool. This system incorporates a re-engineered, pairwise momentum measurement designed to operate at higher frequencies. The system evaluates each asset against others in real time, ensuring only the highest momentum asset receives allocation. This approach keeps the portfolio positioned for maximum efficiency, with an updated weighting logic that favors assets showing both strength and sustainability.
Position Changes and Slippage Calculation
Position changes are optimized for faster reallocation, with realistic slippage and fee calculations factored into each trade. The system’s structure minimizes the impact of these costs on blue-chip assets, allowing for more active management on short timeframes without incurring significant drag on performance.
A Special Note on Fees + Slippage
In the image above, the system has been applied to four different timeframes - 12h, 8h, 4h and 1h - using identical settings and a selected slippage and fees amount of 0.2%. In this stress test, we isolate the choppy downwards period from the previous Bitcoin all time high - set in March 2024, to the current date where Bitcoin is currently sitting at around the same level.
This illustrates an important concept: starting at the 12h, the system performed better as the timeframes decreased. In fact, only on the 4hr chart did the system equity curve make a new all time high alongside Bitcoin. It is worth noting that market phases that are “non-trending” are generally the least profitable periods to use a momentum/trend system - as most systems will get caught by false momentum and will “buy the top,” and then proceed to “sell the bottom.”
Lower timeframes typically offer more data points for the algorithm to compute over, and enable quicker entries and exits within a robust system, often reducing downside risk and compounding gains more effectively - in all market environments.
However, slippage, fees, and execution constraints are still limiting factors. Although blue-chip cryptocurrencies are more liquid and can be traded with lower fees compared to low cap assets, frequent trading on lower timeframes incurs cumulative slippage costs. With the BPM system set to a realistic slippage rate of 0.2% per trade, this example emphasizes how even lower fees impact performance as trade frequency increases.
Finding the optimal balance between timeframe and slippage impact requires careful consideration of factors such as portfolio size, liquidity of selected tokens, execution speed, and the fee rate of the exchange you execute trades on.
Number of Position Changes
Understanding the number of position changes in a strategy is critical to assessing its feasibility in real world trading. Frequent position changes can lead to increased costs due to slippage and fees. Monitoring the number of position changes provides insight into the system’s behavior - helping to evaluate how active the strategy is and whether it aligns with the trader's desired time input for position management.
Equity Curve and Performance Calculations
To provide a benchmark, the script also generates a Buy-and-Hold (or "HODL") equity curve that represents a 100% allocation to Bitcoin, the highest market cap cryptoasset. This allows users to easily compare the performance of the dynamic rotation system with that of a more traditional investment strategy.
The script tracks key performance metrics for both the dynamic portfolio and the HODL strategy, including:
Sharpe Ratio
The Sharpe Ratio is a key metric that evaluates a portfolio’s risk adjusted return by comparing its ‘excess’ return to its volatility. Traditionally, the Sharpe Ratio measures returns relative to a risk-free rate. However, in our system’s calculation, we omit the risk-free rate and instead measure returns above a benchmark of 0%. This adjustment provides a more universal comparison, especially in the context of highly volatile assets like cryptocurrencies, where a traditional risk-free benchmark, such as the usual 3-month T-bills, is often irrelevant or too distant from the realities of the crypto market.
By using 0% as the baseline, we focus purely on the strategy's ability to generate raw returns in the face of market risk, which makes it easier to compare performance across different strategies or asset classes. In an environment like cryptocurrency, where volatility can be extreme, the importance of relative return against a highly volatile backdrop outweighs comparisons to a risk-free rate that bears little resemblance to the risk profile of digital assets.
Sortino Ratio
The Sortino Ratio improves upon the Sharpe Ratio by specifically targeting downside risk and leaves the upside potential untouched. In contrast to the Sharpe Ratio (which penalizes both upside and downside volatility), the Sortino Ratio focuses only on negative return deviations. This makes it a more suitable metric for evaluating strategies like the Bullrun Profit Maximizer - that aim to minimize drawdowns without restricting upside capture. By measuring returns relative to a 0% baseline, the Sortino ratio provides a clearer assessment of how well the system generates gains while avoiding substantial losses in highly volatile markets like crypto.
Omega Ratio
The Omega Ratio is calculated as the ratio of gains to losses across all return thresholds, providing a more complete view of how the system balances upside and downside risk even compared to the Sortino Ratio. While it achieves a similar outcome to the Sortino Ratio by emphasizing the system's ability to capture gains while limiting losses, it is technically a mathematically superior method. However, we include both the Omega and Sortino ratios in our metric table, as the Sortino Ratio remains more widely recognized and commonly understood by traders and investors of all levels.
Usage Summary:
While the backtests in this description are generated as if a trader held a portfolio of just the strongest tokens, this was mainly designed as a method of logical verification and not a recommended investment strategy. In practice, this system can be used in multiple ways.
It can be used as above, or as a factor in forming part of a broader asset selection tool, or even a method of filtering tokens by strength in order to inform a day trader which tokens might be optimal to look at, for long-only trading setups on an intrabar timeframe.
Summary
The Bullrun Profit Maximizer is an advanced tool tailored for traders, offering the precision and agility required in today’s markets. With its asset specific equity curve filter, reworked momentum analysis, and streamlined user interface, this system is engineered to maximize gains and minimize risk during bullmarkets, with a strong focus on risk adjusted performance.
Its refined approach, focused on high resolution data processing and adaptive reallocation, makes it a powerful choice for traders looking to capture high quality trends on clue-chip assets, no matter the market’s pace.
SuperATR 7-Step Profit - Strategy [presentTrading] Long time no see!
█ Introduction and How It Is Different
The SuperATR 7-Step Profit Strategy is a multi-layered trading approach that integrates adaptive Average True Range (ATR) calculations with momentum-based trend detection. What sets this strategy apart is its sophisticated 7-step take-profit mechanism, which combines four ATR-based exit levels and three fixed percentage levels. This hybrid approach allows traders to dynamically adjust to market volatility while systematically capturing profits in both long and short market positions.
Traditional trading strategies often rely on static indicators or single-layered exit strategies, which may not adapt well to changing market conditions. The SuperATR 7-Step Profit Strategy addresses this limitation by:
- Using Adaptive ATR: Enhances the standard ATR by making it responsive to current market momentum.
- Incorporating Momentum-Based Trend Detection: Identifies stronger trends with higher probability of continuation.
- Employing a Multi-Step Take-Profit System: Allows for gradual profit-taking at predetermined levels, optimizing returns while minimizing risk.
BTCUSD 6hr Performance
█ Strategy, How It Works: Detailed Explanation
The strategy revolves around detecting strong market trends and capitalizing on them using an adaptive ATR and momentum indicators. Below is a detailed breakdown of each component of the strategy.
🔶 1. True Range Calculation with Enhanced Volatility Detection
The True Range (TR) measures market volatility by considering the most significant price movements. The enhanced TR is calculated as:
TR = Max
Where:
High and Low are the current bar's high and low prices.
Previous Close is the closing price of the previous bar.
Abs denotes the absolute value.
Max selects the maximum value among the three calculations.
🔶 2. Momentum Factor Calculation
To make the ATR adaptive, the strategy incorporates a Momentum Factor (MF), which adjusts the ATR based on recent price movements.
Momentum = Close - Close
Stdev_Close = Standard Deviation of Close over n periods
Normalized_Momentum = Momentum / Stdev_Close (if Stdev_Close ≠ 0)
Momentum_Factor = Abs(Normalized_Momentum)
Where:
Close is the current closing price.
n is the momentum_period, a user-defined input (default is 7).
Standard Deviation measures the dispersion of closing prices over n periods.
Abs ensures the momentum factor is always positive.
🔶 3. Adaptive ATR Calculation
The Adaptive ATR (AATR) adjusts the traditional ATR based on the Momentum Factor, making it more responsive during volatile periods and smoother during consolidation.
Short_ATR = SMA(True Range, short_period)
Long_ATR = SMA(True Range, long_period)
Adaptive_ATR = /
Where:
SMA is the Simple Moving Average.
short_period and long_period are user-defined inputs (defaults are 3 and 7, respectively).
🔶 4. Trend Strength Calculation
The strategy quantifies the strength of the trend to filter out weak signals.
Price_Change = Close - Close
ATR_Multiple = Price_Change / Adaptive_ATR (if Adaptive_ATR ≠ 0)
Trend_Strength = SMA(ATR_Multiple, n)
🔶 5. Trend Signal Determination
If (Short_MA > Long_MA) AND (Trend_Strength > Trend_Strength_Threshold):
Trend_Signal = 1 (Strong Uptrend)
Elif (Short_MA < Long_MA) AND (Trend_Strength < -Trend_Strength_Threshold):
Trend_Signal = -1 (Strong Downtrend)
Else:
Trend_Signal = 0 (No Clear Trend)
🔶 6. Trend Confirmation with Price Action
Adaptive_ATR_SMA = SMA(Adaptive_ATR, atr_sma_period)
If (Trend_Signal == 1) AND (Close > Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA):
Trend_Confirmed = True
Elif (Trend_Signal == -1) AND (Close < Short_MA) AND (Adaptive_ATR > Adaptive_ATR_SMA):
Trend_Confirmed = True
Else:
Trend_Confirmed = False
Local Performance
🔶 7. Multi-Step Take-Profit Mechanism
The strategy employs a 7-step take-profit system
█ Trade Direction
The SuperATR 7-Step Profit Strategy is designed to work in both long and short market conditions. By identifying strong uptrends and downtrends, it allows traders to capitalize on price movements in either direction.
Long Trades: Initiated when the market shows strong upward momentum and the trend is confirmed.
Short Trades: Initiated when the market exhibits strong downward momentum and the trend is confirmed.
█ Usage
To implement the SuperATR 7-Step Profit Strategy:
1. Configure the Strategy Parameters:
- Adjust the short_period, long_period, and momentum_period to match the desired sensitivity.
- Set the trend_strength_threshold to control how strong a trend must be before acting.
2. Set Up the Multi-Step Take-Profit Levels:
- Define ATR multipliers and fixed percentage levels according to risk tolerance and profit goals.
- Specify the percentage of the position to close at each level.
3. Apply the Strategy to a Chart:
- Use the strategy on instruments and timeframes where it has been tested and optimized.
- Monitor the positions and adjust parameters as needed based on performance.
4. Backtest and Optimize:
- Utilize TradingView's backtesting features to evaluate historical performance.
- Adjust the default settings to optimize for different market conditions.
█ Default Settings
Understanding default settings is crucial for optimal performance.
Short Period (3): Affects the responsiveness of the short-term MA.
Effect: Lower values increase sensitivity but may produce more false signals.
Long Period (7): Determines the trend baseline.
Effect: Higher values reduce noise but may delay signals.
Momentum Period (7): Influences adaptive ATR and trend strength.
Effect: Shorter periods react quicker to price changes.
Trend Strength Threshold (0.5): Filters out weaker trends.
Effect: Higher thresholds yield fewer but stronger signals.
ATR Multipliers: Set distances for ATR-based exits.
Effect: Larger multipliers aim for bigger moves but may reduce hit rate.
Fixed TP Levels (%): Control profit-taking on smaller moves.
Effect: Adjusting these levels affects how quickly profits are realized.
Exit Percentages: Determine how much of the position is closed at each TP level.
Effect: Higher percentages reduce exposure faster, affecting risk and reward.
Adjusting these variables allows you to tailor the strategy to different market conditions and personal risk preferences.
By integrating adaptive indicators and a multi-tiered exit strategy, the SuperATR 7-Step Profit Strategy offers a versatile tool for traders seeking to navigate varying market conditions effectively. Understanding and adjusting the key parameters enables traders to harness the full potential of this strategy.
Kenji Indicator Version 2.0KenJi Indicator Version 2.0
Indicator Class : Average analysis/trend following
Trading type : Any
Time frame : Any
Purpose : Trend-based trading
Level of aggressiveness : Flexible
Introduction
The basic rule of trading is as follows: "trend is your friend." Means, it is extremely important to follow the current market sentiments rather than resisting them. Following this principle allows a trader to feel as comfortable as possible during the trading: positions typically are in a profit zone and there is no psychological pressure of a negative financial result that often leads to hasty position closures.
Despite the advantages of trend-following strategies, many traders struggle to accurately identify the prevailing trend and market sentiments, resulting in bad trading decisions and, consequently, unfavorable trading outcomes.
To address these challenges, streamline the analysis process, and enhance the overall quality of trading decisions, our team of analysts has developed The KenJi Indicator Version 2.0.
About the KenJi Indicator Version 2.0
The KenJi Indicator Version 2.0 offers a novel approach to traditional average-based analysis. Many conventional strategies relying on averages tend to generate numerous false signals, especially in “flat” markets where frequent crossovers and shifts in direction are common. This reduces the overall effectiveness of average analysis.
The KenJi Indicator Version 2.0 addresses these issues by incorporating a unique algorithm, which combines correlation and moving average analysis to avoid the pitfalls of traditional methods. It accurately identifies market conditions—indicated by colors: red for a downtrend, blue for an uptrend, and green for a “flat” market—thereby improving the quality of signals and helping traders manage trends more effectively.
The KenJi Indicator Version 2.0 indicator not only identifies optimal entry points but also assists in timing exits for profit-taking. Moreover, it assesses the aggressiveness of signals, making it suitable for both novice and experienced traders.
Trading Rules
Using the KenJi Indicator Version 2.0 is straightforward. When the price enters the buy or sell zone—represented by a blue or red area between the fast and slow averages—it generates a signal to enter a position. This position remains active until the market condition changes (such as a shift from a downtrend to “flat”) or until a close signal appears, indicated by a significant divergence shown by a blue or red cross.
Indicator Structure
The KenJi Indicator Version 2.0 consists of colored zones, level lines and stop crosses:
Trend Zones : These are color-coded (blue, red, or green) to highlight trend conditions and entry points.
Level Lines : The lines indicate the nearest support/resistance lines (red for resistance, blue for support). Available for 4H time-frame and below
Stop Crosses : Blue or Red crosses are displayed on the Chart to show the moments of extreme price divergence from the current trend. A good moment to fix profits.
For ease of use, the indicator shows buy and sell signals directly on the chart.
Signal Types:
Standard : Uses the basic lot size for trades.
Aggressive : Uses double the standard lot size for higher risk/reward trades.
Profit zones are marked by blue/red x-crosses: red x-crosses indicate "sell" take-profit zones, while blue x-crosses indicate "buy" take-profit zones.
Alerts and Notifications
The indicator includes built-in alerts and notifications, ensuring traders don’t miss any "buy" or "sell" signals.
Input Parameters
The KenJi Indicator Version 2.0 offers several input parameters for customization:
Slow Average Period : Defines the period for the slow average. Longer periods provide a more stable, conservative response to price changes.
Fast Average Period : Defines the period for the fast average. Similar to the slow average, a longer period provides more conservative signals.
Correlation Period : Used to calculate the Pearson correlation coefficient and estimate the relationship between the fast and slow averages, improving trend identification.
Divergence Sensitivity : Determines the placement of take-profit zones, with higher values increasing the distance of these zones.
Access to the KenJi Indicator Version 2.0
For more information or to request access to the Kenji 2.0 Indicator, please send inquiries via private messages.
GC Strategy with Trend Filter and Sudden Move Profit TakingBYBIT:BTCUSDT.P 15M
Situation Assessment with Three Moving Averages
The strategy uses the crossover of the 5SMA and 25SMA as entry signals.
Additionally, the 75SMA is used as a filter. Long entries are only allowed when the price is above the 75SMA, and short entries are only allowed when the price is below the 75SMA.
ADX Filter
The Average Directional Index (ADX) is used to check the strength of the trend. Entry signals are only activated when the ADX is above 20. This ensures that trades are only executed when the trend is strong.
Sudden Move Detection
The strategy detects sudden price movements. If a sudden move occurs, the position is closed to lock in profits.
Entry
Long Entry: When the 5SMA crosses above the 25SMA, the price is above the 75SMA, and the ADX is above 20.
Short Entry: When the 5SMA crosses below the 25SMA, the price is below the 75SMA, and the ADX is above 20.
Exit
Positions are closed if a sudden move occurs. Positions are also closed if an opposing entry signal is generated.
This strategy aims to confirm the strength of the trend using moving average crossovers and ADX and to lock in profits based on sudden price movements.
３本の移動平均線による状況判断
5SMAと25SMA のクロスオーバーをエントリーシグナルとして使用します。
さらに、75SMAをフィルターとして使用し、価格が75SMAの上にある場合のみロングエントリーを許可し、75SMAの下にある場合のみショートエントリーを許可します。
ADXフィルター
ADX（平均方向性指数）を使ってトレンドの強さを確認します。
ADXが20より大きい場合のみ、エントリーシグナルを有効にします。これにより、トレンドが強い時にのみ取引を行うことができます。
急激な変動検知
価格の急激な変動を検出します。
急激な変動があった場合には、ポジションをクローズして利益を確定します。
エントリー
ロングエントリー
5SMAが25SMAを上にクロスし、価格が75SMAの上にあり、ADXが20を超えているとき。
ショートエントリー
5SMAが25SMAを下にクロスし、価格が75SMAの下にあり、ADXが20を超えているとき。
エグジット
急激な変動があった場合、ポジションをクローズします。
反対のエントリーシグナルが発生した場合にも、ポジションをクローズします。
このストラテジーは、移動平均のクロスオーバーとADXを使ってトレンドの強さを確認し、急激な変動に基づいて利益を確定することを目的としています。
Risk Management Calculator with Fees and Take Profit [CHE]Risk Management Calculator with Fees and Take Profit
Welcome to the Risk Management Calculator with Fees and Take Profit script! This powerful tool is designed to help traders manage their risk effectively, calculate leverage, and set take profit targets. The script is inspired by and builds upon the ideas from the following TradingView script: ().
This script is inspired by and builds upon the ideas from the following TradingView script:
Features
1. Portfolio Size Input: Enter the size of your portfolio to accurately calculate your risk and leverage.
2. Max Loss Percent Input: Specify the maximum percentage of your portfolio that you are willing to risk on a single trade.
3. Max Leverage Input: Set the maximum leverage you are comfortable using.
4. Trading Fee Input: Include trading fees in your calculations to get a more realistic view of your potential losses and gains.
5. ATR Settings: Configure the ATR period and multiplier to calculate your stop loss and take profit levels.
6. RSI Settings: Adjust the RSI period for trend analysis.
How to Use
Portfolio Size
- Description: This is the total value of your trading account.
- Input: `portfolioSize`
- Default Value: 100
- Minimum Value: 0.001
Max Loss Percent
- Description: The maximum percentage of your portfolio you are willing to lose on a single trade.
- Input: `maxLossPercent`
- Default Value: 3%
- Range: 0.1% to 100%
Max Leverage
- Description: The maximum leverage you wish to use.
- Input: `maxLeverage`
- Default Value: 125
- Range: 1 to 125
Trading Fee
- Description: The fee percentage you pay per trade.
- Input: `feeRate`
- Default Value: 1%
- Range: 0% to 10%
ATR Settings
- ATR Period: Number of bars used to calculate the Average True Range.
- Input: `atrPeriod`
- Default Value: 5
- ATR Multiplier: Multiplier for ATR to set stop loss levels.
- Input: `atrMultiplier`
- Default Value: 2.0
Take Profit Multiplier
- Description: Multiplier for ATR to set take profit levels.
- Input: `takeProfitMultiplier`
- Default Value: 2.0
RSI Settings
- RSI Period: Period for the RSI calculation.
- Input: `rsiPeriod`
- Default Value: 14
Dashboard
The script includes a customizable dashboard that displays the following information:
- Portfolio Size
- Maximum Loss Amount
- Entry Price
- Stop Loss Price
- Stop Loss Percentage
- Calculated Leverage
- Order Value
- Order Quantity
- Trend Direction
- Adjusted Maximum Loss Percentage
- Take Profit Price
Dashboard Settings
- Location: Choose the position of the dashboard on the chart.
- Options: 'Top Right', 'Bottom Right', 'Top Left', 'Bottom Left'
- Size: Adjust the size of the dashboard text.
- Options: 'Tiny', 'Small', 'Normal', 'Large'
- Text/Frame Color: Set the color for the text and frame of the dashboard.
Underlying Principles and Assumptions
Leverage Calculation
The leverage calculation is fundamental to risk management in trading. It ensures that the risk per trade does not exceed a specified percentage of the portfolio. This calculation takes into account the potential loss from the entry price to the stop loss level, adjusted for trading fees. By dividing the maximum acceptable loss by the total potential loss (including fees), we derive a leverage that limits the exposure per trade. This approach helps traders avoid over-leveraging, which can lead to significant losses.
ATR and Stop Loss
The Average True Range (ATR) is used to set stop loss levels because it measures market volatility. A higher ATR indicates more volatility, which means wider stop losses are needed to avoid being prematurely stopped out by normal market fluctuations. By using an ATR multiplier, the stop loss is dynamically adjusted based on current market conditions, providing a more robust risk management strategy.
Take Profit Calculation
The take profit level is calculated as a multiple of the ATR, ensuring that it is set at a realistic level relative to market volatility. This method aims to capture significant price movements while avoiding the noise of smaller fluctuations. Setting take profit targets this way helps in locking in profits when the market moves favorably.
RSI for Trend Confirmation
The Relative Strength Index (RSI) is used to confirm the trend direction. An RSI above 50 typically indicates a bullish trend, while an RSI below 50 indicates a bearish trend. By aligning trades with the prevailing trend, the script increases the probability of successful trades. This trend confirmation helps in making informed decisions about leverage and position sizing.
Risk Color Coding
The script uses color coding to visually indicate the risk level and trend direction. Green indicates a favorable condition for long trades, red for short trades, and gray for neutral conditions. This intuitive color coding aids in quickly assessing the market conditions and making timely trading decisions.
Conclusion
This script aims to provide a comprehensive risk management tool for traders. By integrating portfolio size, leverage, fees, ATR, and RSI, it helps in making informed trading decisions. We hope you find this tool useful in your trading journey.
Happy Trading!
Buffett Quality Score [Industry]The Buffett Quality Score is a composite indicator developed to assess the financial health and quality of companies operating within the Industrial sector. It combines a carefully selected set of financial ratios, each weighted with specific thresholds, to provide a comprehensive evaluation of company performance.
Selected Financial Ratios and Criteria:
1. Return on Assets (ROA) > 5%
ROA measures a company's profitability by evaluating how effectively it utilizes its assets. An ROA exceeding 5% earns 1 point.
2. Debt to Equity Ratio < 1.0
The Debt to Equity Ratio reflects a company's leverage. A ratio below 1.0 earns 1 point, indicating lower reliance on debt financing.
3. Interest Coverage Ratio > 3.0
The Interest Coverage Ratio assesses a company's ability to meet interest payments. A ratio above 3.0 earns 1 point, indicating strong financial health.
4. Gross Margin % > 25%
Gross Margin represents the profitability of sales after deducting production costs. A margin exceeding 25% earns 1 point, indicating better pricing power.
5. Current Ratio > 1.5
The Current Ratio evaluates a company's liquidity by comparing current assets to current liabilities. A ratio above 1.5 earns 1 point, indicating sufficient short-term liquidity.
6. EBITDA Margin % > 15%
EBITDA Margin measures operating profitability, excluding non-operating expenses. A margin exceeding 15% earns 1 point, indicating efficient operations.
7. Altman Z-Score > 2.0
The Altman Z-Score predicts bankruptcy risk based on profitability, leverage, liquidity, solvency, and activity. A score above 2.0 earns 1 point, indicating financial stability.
8. EPS Basic One-Year Growth % > 5%
EPS One-Year Growth reflects the percentage increase in earnings per share over the past year. Growth exceeding 5% earns 1 point, indicating positive earnings momentum.
9. Revenue One-Year Growth % > 5%
Revenue One-Year Growth represents the percentage increase in revenue over the past year. Growth exceeding 5% earns 1 point, indicating healthy sales growth.
10. Piotroski F-Score > 6
The Piotroski F-Score evaluates fundamental strength based on profitability, leverage, liquidity, and operating efficiency. A score above 6 earns 1 point, indicating strong fundamental performance.
Score Calculation Process:
Each company is evaluated against these criteria.
For every criterion met or exceeded, 1 point is assigned.
The total points accumulated determine the Buffett Quality Score out of a maximum of 10.
Interpretation of Scores:
0-4 Points: Indicates potential weaknesses across multiple financial areas.
5 Points: Suggests average performance based on the selected criteria.
6-10 Points: Signifies strong overall financial health and quality, meeting or exceeding most of the performance thresholds.
Research and Development:
The selection and weighting of these specific financial ratios underwent extensive research to ensure relevance and applicability to the Industrial sector. This scoring methodology aims to provide valuable insights for investors and analysts seeking to evaluate company quality and financial robustness within the Industrial landscape.
The information provided about the Buffett Quality Score is for educational purposes only. This document serves as an illustrative example of financial evaluation methodology and should not be construed as financial advice, investment recommendation, or a guarantee of future performance. Actual results may vary based on individual circumstances and specific factors affecting each company. We recommend consulting qualified professionals for personalized financial advice tailored to your individual situation.
Candle StrategyThis strategy is based candle count number also strategy analysis -
Rules for buy-
1) choose Candle Number(Ex.-47) For Trade
2) Trade Sell if price is above high of day 1st candle that mean direction is upside
3) We are taking stop loss on lowest low of candle since day first candle to trade no.
4) close Trade at last bar of the day
5) Trader Can Choose Trade Direction From input
Rules for Sell-
1) Choose Candle Number(Ex.-47) For Trade
2) Trade Sell if price is below low of day 1st candle that mean direction is downside
3) We are taking stop loss on highest of candle since day first candle to trade no.
4) close Trade at last bar of the day
5) Trader Can Choose Trade Direction From input
Note - this strategy can be also use for static to understand which candle will make low/high of the day high chance Example in bank nifty 5 minutes chart candle no 47 have highest trade
opportunity appear on long side ...this data is small based on 5000 previous bar ...
Disclaimer: market involves significant risks, including complete possible loss of funds. Consequently trading is not suitable for all investors and traders. By increasing leverage risk increases as well.With the demo account you can test any trading strategies you wish in a risk-free environment. Please bear in mind that the results of the transactions of the practice account are virtual, and do not reflect any real profit or loss or a real trading environment, whereas market conditions may affect both the quotation and execution
ATR + Momentum Shifts w/Take ProfitThis script is a technical analysis indicator designed to assist in identifying potential entry points and setting take profit levels in trading. It combines the Average True Range (ATR) indicator, momentum shifts, and customizable take profit levels to provide insights into potential market movements.
Differences from Currently Published Ones:
This script is unique due to its use of a combination of elements:
ATR and Momentum: The script combines the ATR indicator to provide dynamic support and resistance levels with the momentum indicator to identify shifts in the underlying momentum.
Customizable Take Profit Levels: It offers the ability to set take profit levels based on customizable multipliers of the ATR, helping traders manage potential profits.
How to Use:
ATR Bands: The script plots upper and lower ATR bands as potential dynamic support and resistance levels.
Shift Arrows: Arrows are plotted below bars for potential long entry opportunities (green triangle) and above bars for potential short entry opportunities (yellow triangle).
Take Profit Levels: The script also plots take profit levels both above and below the source price based on the ATR multipliers set in the inputs.
Markets and Conditions:
This script can be used across various financial markets, including stocks, forex, commodities, and cryptocurrencies. It's most effective in trending markets where momentum shifts can signal potential reversals or continuation of trends. Traders should consider the following conditions:
Trend Confirmation: Look for momentum shifts in the direction of the prevailing trend for higher probability setups.
Volatility: Higher volatility can amplify ATR movements and subsequently affect the placement of ATR bands and take profit levels.
Risk Management: Always implement proper risk management strategies to protect your capital.
Additional Considerations:
Customization: Traders can adjust input parameters like ATR length, momentum length, and take profit multipliers to match their trading style and market conditions.
Combining with Other Indicators: Consider using this indicator in conjunction with other technical indicators or chart patterns for confirmation.
Live PnL v1.0Live P&L for multiple stocks, currencies, crypto and commodities can now be tracked for your favorite scripts, pair trading etc.
This indicator gives provision to add up to 3 stocks/futures/currency with Buy and Sell, Quantity (can be lot size or any other) and Entry Price and set as default so that every time you put back this indicator you can monitor the live Profit / Loss figure.
This indicator will help trade to evaluate and track tips/trades of experts on social media and Media platforms and check their accuracy themselves in an organized way.
Apart from paper trading a trade or multiple positions ones combined together it also gives a feeler of combined Mark to live Market Drawdowns or Profitability.
ATR_RSI_Strategy v2 with no repaint [liwei666]🎲 Overview
🎯 this is a optimized version based on ATR_RSI_Strategy with no-repaint.
Sharpe ratio: 1.4, trade times: 116 ,
trade symbol: BINANCE:BTCUSDTPERP 15M
you can get same backtesting result with the correct settings.
🎲 Strategy Logic
🎯 the core logic is quite simple, use ATR and RSI and SMA
1. when price is in high volatility ( atr_value > atr_ma);
2. wait for a break signal (rsi_value > rsi_buy or rsi_value < rsi_sell);
3. entry Long or Short,use trailing stop-loss to max security and percent TP to keep profit.
🎲 Settings
🎯 there are 7 input properties in script, but I only finetune 4 of them ( bold field below ),
you may change other parameter to get better result by yourself.
atr_length: length to get atr value
atr_ma_length : length of smoothing atr value
atr_ma_norm_min : atr_ma normalized min value, filter high volatility ranges
atr_ma_norm_max : atr_ma normalized max value, filter high volatility ranges
rsi_length : length to get rsi value
rsi_entry: 50 +/- rsi_entry to get entry threshold
trailing_percent: trailing stop-loss percent
🎲 Usage
🎯 the commission set to 0.05% , part of exchange the commission is less than 0.05% in reality,
but I will still use 0.05% in my next script.
🎯 this script use 50% of equity to size positions follow general script position,
you can adjust the value to fix size or 100% of equity to compare result with other strategy,
but I still suggest you use 5-10% of equity for each strategy in reality.
🎯any questions please comment below. if there are any words violate House Rule, please tell me below and i will revise immediately
don't want be hiddened again 😂😂
Additionally, I plan to publish 20 profitable strategies in 2023;
let‘s witness it together!
Hope this strategy will be usefull for you :)
enjoy! 🚀🚀🚀
FFT Strategy Bi-Directional Stop/Profit/Trailing + VMA + AroonThis strategy uses the Fast Fourier Transform inspired from the source code of @tbiktag for the Fast Fourier Transform & @lazybear for the VMA filter.
If you are not familiar with the Fast Fourier transform it is a variation of the Discrete Fourier Transform. Veritasium on youtube has a great video on it with a follow up recommendation from 3brown1blue. In short it will extract all the frequencies from a set of data. @tbiktag laid the groundwork for creating the indicator which will allow you to isolate only those signals which are the most relevant and remove the noise. I recommend having @tbiktag's FFT Transform indicator side by side with this to understand what my variation is doing by setting similar settings .
Using this idea, you can then optimize a strategy to the frequencies that are best. The main entry signal is when the FFT Signal crosses above or below the 0 line .
Included with this strategy is the ability to optionally bi-directionally set:
Stop Loss
Trailing Stop Loss
Take Profit
Trailing Take Profit
Entries are optionally further filtered by use of the VMA using the algorithm from LazyBear which allows you to adjust a variable moving average with 3 market trend detections. Green represents upwards momentum; Blue sideways trading and Red downwards momentum. The idea being to filter out buy or sell entries unless the market is moving in that direction, and this makes a big difference as you can see for yourself when you turn it off or on. Turning it off will change the color of the FFT signal to orange instead of the green, blue, red colors .
I have added 2 custom stop loss types as well for experimentation:
1. VMA Filter stop loss to exit the trade if the VMA detects a market trend direction change matching the rules you have set. I have set this to off by default, but it is there so you can see what affect it may have on other tickers. It can increase the profit factor but usually at a cost of net profit.
2. The Aroon Filter stop loss with different lengths for the short or long direction. For the Aroon strategy (which is a trend change detector) it is considered bullish if the upper line (green in my code) is above 70 and the lower line (red in my code) is below 30 and the opposite for the bearish case. With this in mind, I have set it to filter by default only the extreme ends (99 and 1) to increase profit factor and net profit but I encourage you to try different settings and see how it affects things. Turning this off yields much higher net profit but at the cost of the profit factor and drawdown . To disable this just uncheck the 'Use Aroon Filter Long' (or short) and it will also hide the aroon graphics and crosses on the plot.
I will be adding more features in an attempt to lower the drawdown on this strategy but I hope you enjoy what I have so far!
Average True Range with stop loss and take profit finderBased on the official original average true volatility (ATR), two functions have been extended.
Users can see the suggested stop loss and take profit parameters when entering a long or short order with each K-line.
Part of the settings:
Length: The preset is 14 K lines, which can help you grab the suggested stop loss point.
Long-short single profit-loss ratio: After entering the value of the profit-loss ratio (floating point) you want, it will automatically convert and calculate the past take-profit point.
The five values displayed on the chart are from left to right: ATR, Short Stop Loss, Long Stop Loss, Short Take Profit, and Long Take Profit.
Simple and Profitable Scalping Strategy (ForexSignals TV)Strategy is based on the "SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV.
See video for a detailed explaination of the whole strategy.
I'm not entirely happy with the performance of this strategy yet however I do believe it has potential as the concept makes a lot of sense.
I'm open to any ideas people have on how it could be improved.
Strategy incorporates the following features:
Risk management:
Configurable X% loss per stop (default to 1%)
Configurable R:R ratio
Trade entry:
Based on stratgey conditions outlined below
Trade exit:
Based on stratgey conditions outlined below
Backtesting:
Configurable backtesting range by date
Trade drawings:
Each entry condition indicator can be turned on and off
TP/SL boxes drawn for all trades. Can be turned on and off
Trade exit information labels. Can be turned on and off
NOTE: Trade drawings will only be applicable when using overlay strategies
Debugging:
Includes section with useful debugging techniques
Strategy conditions
Trade entry:
LONG
C1: On higher timeframe trend EMAs, Fast EMA must be above Slow EMA
C2: On higher timeframe trend EMAs, price must be above Fast EMA
C3: On current timeframe entry EMAs, Fast EMA must be above Medium EMA and Medium EMA must be above Slow EMA
C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in upward direction for previous X candles (configurable)
C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines
C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s)
C7: Price must break through the high of the last X candles (plus price buffer) to trigger entry (stop order entry)
SHORT
C1: On higher timeframe trend EMAs, Fast EMA must be below Slow EMA
C2: On higher timeframe trend EMAs, price must be below Fast EMA
C3: On current timeframe entry EMAs, Fast EMA must be below Medium EMA and Medium EMA must be below Slow EMA
C4: On current timeframe entry EMAs, all 3 EMA lines must have fanned out in downward direction for previous X candles (configurable)
C5: On current timeframe entry EMAs, previous candle must have closed above and not touched any EMA lines
C6: On current timeframe entry EMAs, current candle must have pulled back to touch the EMA line(s)
C7: Price must break through the low of the last X candles (plus price buffer) to trigger entry (stop order entry)
Trade entry:
Calculated position size based on risk tolerance
Entry price is a stop order set just above (buffer configurable) the recent swing high/low (long/short)
Trade exit:
Stop Loss is set just below (buffer configurable) trigger candle's low/high (long/short)
Take Profit calculated from Stop Loss using R:R ratio
Credits
"SIMPLE and PROFITABLE Forex Scalping Strategy" taken from YouTube channel ForexSignals TV
1 minute crypto strategy (MTF ZigZag)Please read the following explanation and notes before using this strategy.
This strategy is based on pyramiding. It uses two trend indicators(zigzag) in two different timeframes. One can be used to identify trend in higher timeframe and the other can be used to identify trend in smaller time frame. You can change them according to your preference. The default timeframes are set the same so the strategy only opens the trades according to one timeframe (20min). You can change the timeframe of the trend indicators to any timeframe in the settings but first you should add that timeframe to your chart timeframe so you can see that timeframe in the settings.
The first timeframe is for lower timeframe trend identification and the second timeframe is for higher timeframe identification in the settings.
IMPORTANT NOTES:
1. This strategy works best with low cap high volatile Cryptos. It is riskier on big cap cryptos in long term since it takes longer for them to recover from a big drop.
2. This strategy works in any timeframe. The lower the TF the higher profit.
3. This strategy is LONG only (spot).
4. It is very important to run a deep backtest (for example 1 year) and change the settings accordingly on the cryptos you want to trade to see how it performs in longterm.
5. The default pyramiding value is 30 and 3.33% of the portfolio (100/30=3.33%) is used for each trade. It means the strategy opens maximum 30 trades before the TP is hit. If you change the pyramiding you should also change order size as well in order for the strategy to show the exact calculation (your portfolio amount percentage/pyramiding value=ordersize percentage). If you increase pyramiding value the strategy performs safer in long term.
6. The default TP is 1% and the default SL is 80%. You can change the settings according to the backtest on the coins you want to trade. But it is better not to increase the TP.
7. The indicators don't repaint.
8. Please make sure to backtest and fully understand the way this strategy works before using it.
[TH] IMF(In Market Forever)If you want to be in market forever , Set Entry/Profit/Loss in advance.
This strategy is a profit and loss strategy indicating P&L Ratio on chart.
You can use webhook for auto-trade using my opensource webhook server(TradingHook).
Manual
add to chart
set entry price using mouse click on your chart
set profit price using mouse click on your chart
set loss price using mouse click on your chart
set nums of trades(default 1)
set alert for webhook if you have TradingHook webhook server
Tradesense PremiumTradesense Premium
Tradesense Premium indicator offers a buy & sell signal that is based from our senior analyst who have more than 10years of experience in Forex, Stock and Crypto trading and made it possible by our pine script developers.
Our script can detect market volatility based on the price direction and the absolute value of exponential moving average are multiplied to specific numbers to get a different trading style such as Scalper, Swing Trader and Trend Follower. We also filtered out all the signals using a different known indicators such as RSI, ATR, and ADX, and the results will allow you to enter a trade before the big moves occur. We also included all the important indicator which appears in real-time to get a competitive advantage in any market environment.
If you are a trader for a long time you should know that there is no way to avoid risk in trading. Every single trade could, theoretically at least, end up a loser. That is why our script also provides automatic risk management system which can gives you the ability to know exactly where to take the profit and to stop.
Trading style preset options - Will allows you to get the signals the way you wanted depending on your trading style. Ex. Scalper, Swing Trader or a Trend follower.
Bar color - Our bar colors are based on the price actions which detects the weakness of the bar or if the bar is ranging.
Reversal Zone - This indicator would identify possible price reversal zones.
Support & Resistance - This indicator draw a line at the pivot point to show possible support and resistance area.
Target Profit indicator based on price actions - This indicator will gives you an option to reduce your position or go out of the trade before the reversal happens.
Target Profit / Stop Loss based on ATR - This indicator will gives you a simple but effective risk management system to protect your capital. The TP/SL is based from the ATR.
Alert System - We are giving you an options to customize your alerts.
Our mission is to provide systematic way to build your success.
Release notes: Tradesense Premium V1.1
✅Trading style preset options
✅Bar color
✅Reversal Zone
✅Support & Resistance
✅Target Profit indicator based on price actions
✅Target Profit / Stop Loss based on ATR
✅Alert System
❓Trading style
Currently we have 3 sets of preset options that the user can use.
Scalp - this preset is made for the trader that wants a quick in and out of the trade. The best timeframe to this is 1min to 5mins chart.
Swing - this preset is for the trader who can wait a little bit longer in a trade. The best timeframe to use is 15mins to 1hour chart.
Trend - this preset is made for the busy people that can hold a trade more than a day. The best timeframe to use is 4hours to 1day chart.
❓Bar color
This options will change the color of your bars to lessen the noise of your chart.
Green Color is a bullish indicator
Red Color is a bearish indicator
Orange Color will signify that the trend is weakening
Purple Color is a consolidation/ranging price action
❓Reversal Zone
From the name it self, once the price is already hit the Reversal Zone the price will more likely to reverse or will make a correction.
❓Support & Resistance
When this option is enabled, the support and resistance levels will show up.
❓Target Profit indicator based on price actions
When this option is enabled, you will see a "💰" which means it's time to take profit or reduce your positions.
❓Target Profit / Stop Loss based on ATR
Most of the trader uses ATR as a stop loss level. When this option is enabled, the indicator for Stop Loss and Take Profit will show up and the TP/SL levels can be changed by changing the ATR Multiplier (Default is 1.8).
❓Alert System
Function alert is added and the user can customize it the way they want it.
2x take profit, move stop loss to entryTwo take profit targets moving stop loss to entry after first take profit hit
This strategy shows a method to achieve the following trade management:
1) Open a position with two take profit targets
2) When first take profit is hit, move the stop loss to entry price
3) Position is closed when either second take profit is hit or position is stopped out at entry
Trading Conditions
The trading conditions used in this script are for illustrative purposes only and are not meant to be profitable.
Bollinger Bands
Used to show areas where price is moving outside of the normal range
Stochastic
Used to show overbought and oversold conditions.
Green dots are plotted when the K line crosses over its SMA. Red dots are plotted when the K line crosses under its SMA.
The option to use overbought/oversold thresholds is again illustrative.
ATR Take Profit / Stop Loss [JoseMetal]============
ENGLISH
============
- Description:
This indicator is based on ATR to print current ATR multiple values for Take Profits or Stop Loss levels, it's real time, so you can use the replay feature to test it or calculate these levels anytime on any candle.
Therefore, levels are calculated by multiplying the ATR by the level multiplier.
- Visual:
Both a "diamond" and label with the ATR multiplier and price value are printed for each level.
Each level has a color for both, diamond and label to make it easier to read.
The levels are split in 2 columns for better visualization.
- Usage and recommendations:
Fibonacci's levels are used for default, but you can customize them as you like.
I usually take 3.82 level (red by default) as stop loss, and I take profit every 2 levels depending on the timeframe, is good to let a small part run until break even or ATR 10 (last level).
- Customization:
Custom ATR period, 10 is default.
Each level has custom multiplier and level.
Customizable offset for diamonds and labels.
Custom precision for prices (because it greatly depends on the asset you're working with).
============
ESPAÑOL
============
- Descripción:
Este indicador se basa en el ATR para mostrar múltiples niveles de Take Profits o Stop Loss, es en tiempo real, por lo que se puede utilizar la función de repetición para probarlo o calcular estos niveles en cualquier momento y en cualquier vela.
Por lo tanto, los niveles se calculan multiplicando el ATR por el multiplicador del nivel.
- Visual:
Tanto un "diamante" como una etiqueta con el multiplicador ATR y el valor del precio se imprimen para cada nivel.
Cada nivel tiene un color tanto para el diamante como para la etiqueta para facilitar su lectura.
Los niveles están divididos en 2 columnas para una mejor visualización.
- Uso y recomendaciones:
Se usan los niveles de Fibonacci defecto, pero puedes personalizarlos como quieras.
Yo suelo usar el nivel 3.82 (rojo por defecto) como stop loss, y tomo beneficios cada 2 niveles dependiendo de la temporalidad, es bueno dejar correr una pequeña parte hasta el break even o ATR 10 (último nivel).
- Personalización:
Periodo ATR personalizable, 10 es el predeterminado.
Cada nivel tiene multiplicador y nivel personalizables.
Desplazamiento (offset) personalizable para los diamantes y las etiquetas.
Precisión para decimales personalizada (porque depende mucho del activo con el que se trabaje).
DMT TEMPELTON PECK STRATEGYIntroduction Templeton Peck Strategy Version .
Bring your A-game to the market in A-Team style with DMT Templeton Peck – you’ll love it when this plan comes together!
Using customized standard deviations between historic price action ranges and volume metrics, DMT Templeton Peck enables traders to never miss a change in trend.
In its default state, the DMT Templeton Peck Strategy displays key information, such as:
• Small trend line
• Large trend line
• Position entry prices
• Take profit levels
• Stop levels
• Buy and sell trend signals
In addition to providing core functionality for the indicator’s strategy signals, traders can use this data to enter or exit trades.
When price crosses both trend lines and consolidates there is a high probability that price will continue to move in the same direction. The most profitable results are achieved when trading in the direction of the current large time frame trend.
When small and large trend lines cross a trading signal is generated which can be used to automate trades. Please see the ‘TradingView Alerts’ section of this document for further details.
The Small & Large trend line’s display can be toggled, and their colors modified in the indicator’s style options as shown below.
Basic Strategy
In its simplest form, the strategy is to buy when the price crosses and consolidates above both trend lines and sell when the price crosses and consolidates below both trend lines.
Set amount of first entry to the inputs data.
You can add a commission fee.
Adjust initial capital for your needs.
How to Trade
Confident traders may choose to enter a long position at the point
#1 when the price passes above both trend lines and begins to consolidate.
However, the safer trade is to wait for the trend lines to cross at a point
#2 and then look for an entry in the direction of the local trend.
One price action begins to reverse to the downside the strategy reverses. Confident traders may choose to enter point
#3 when the price passes both trend lines and begins to consolidate once again under the previous price action structure that is now acting as resistance.
A sell signal is generated at the point
#4 which produced a small profit; however, a new short position could have been opened when the price retraced to resistance at a point
#5 and experienced a repeated number of strong rejections.
Do not worry if you miss a trade as there is often more than a single opportunity to enter – like at position #5 when price action retests the previous local price structure as resistance.
The indicator can be used on smaller time frames to scalp or find an entry after a larger time frame has signaled, however smaller time frames will also be “choppy” and should only be traded with a paper-tested strategy.
Traders should take profit on positions at resistance & support levels and look to have fully exited the trade by the time the price crosses back over both trend lines and/or loses a previously established price level.
Indicator Tuning
In its default state, the indicator is tuned for swing trades using 30 minute & 1 hour time frames, however, you are encouraged to experiment with the indicator options.
The input also allows you to set separately longs and shorts for a better view of the trend and to avoid hunts.
Large & Small Length options define how many historic candles are used for the calculation of the relevant trend line.
As a rule of thumb, larger time frames would use smaller values and smaller time frames would use larger values, ie. On a daily chart, a large and small length could be defined as 400 and 100 respectively.
Please be aware that there are limits to the amount of historical data for any intraday level based on your TradingView subscription level:
• Basic – 5000 bars/candles
• Pro & Pro+ - 10000 bars/candles
• Premium – 20000 bars/cables
TradingView Backtest
By utilizing TradingView backtest you can set a specific date for your analysis.
DMT TEMPELTON PECKIntroduction
Bring your A-game to the market in A-Team style with DMT Templeton Peck – you’ll love it when this plan comes together!
Using customized standard deviations between historic price action ranges and volume metrics, DMT Templeton Peck enables traders to never miss a change in trend.
In its default state, the DMT Templeton Peck indicator displays key information, such as:
• Small trend line
• Large trend line
• Position entry prices
• Take profit levels
• Stop levels
• Buy and sell trend signals
In addition to providing core functionality for the indicator’s strategy signals, traders can use this data to enter or exit trades.
When price crosses both trend lines and consolidates there is a high probability that price will continue to move in the same direction. The most profitable results are achieved when trading in the direction of the current large time frame trend.
When small and large trend lines cross a trading signal is generated which can be used to automate trades. Please see the ‘TradingView Alerts’ section of this document for further details.
The Small & Large trend line’s display can be toggled, and their colors modified in the indicator’s style options as shown below.
Basic Strategy
In its simplest form, the strategy is to buy when the price crosses and consolidates above both trend lines and sell when the price crosses and consolidates below both trend lines.
How to Trade
Confident traders may choose to enter a long position at the point
#1 when the price passes above both trend lines and begins to consolidate.
However, the safer trade is to wait for the trend lines to cross at a point
#2 and then look for an entry in the direction of the local trend.
One price action begins to reverse to the downside the strategy reverses. Confident traders may choose to enter point
#3 when the price passes both trend lines and begins to consolidate once again under the previous price action structure that is now acting as resistance.
A sell signal is generated at the point
#4 which produced a small profit; however, a new short position could have been opened when the price retraced to resistance at a point
#5 and experienced a repeated number of strong rejections.
Do not worry if you miss a trade as there is often more than a single opportunity to enter – like at position #5 when price action retests the previous local price structure as resistance.
The indicator can be used on smaller time frames to scalp or find an entry after a larger time frame has signaled, however smaller time frames will also be “choppy” and should only be traded with a paper-tested strategy.
Traders should take profit on positions at resistance & support levels and look to have fully exited the trade by the time the price crosses back over both trend lines and/or loses a previously established price level.
Indicator Tuning
In its default state the indicator is tuned for swing trades using 30 minute & 1 hour time frames, however, you are encouraged to experiment with the indicator options.
Large & Small Length options define how many historic candles are used for the calculation of the relevant trend line.
As a rule of thumb, larger time frames would use smaller values and smaller time frames would use larger values, ie. On a daily chart, a large and small length could be defined as 400 and 100 respectively.
Please be aware that there are limits to the amount of historical data for any intraday level based on your TradingView subscription level:
• Basic – 5000 bars/candles
• Pro & Pro+ - 10000 bars/candles
• Premium – 20000 bars/cables
TradingView Alerts
By utilizing TradingView alerts DMT Templeton Peck's long and short signals can be used to trigger a trading bot.
To trigger a long position, set the TradingView Alert Condition to the DMT Templeton Peck indicator and select the ‘Long’ trigger condition with the ‘Once Per Bar Close’ option for best results.
To trigger a short position, set the TradingView Alert Condition to the DMT Templeton Peck indicator and select the ‘Short’ trigger condition with the ‘Once Per Bar Close’ option for best results.
Take profit options ‘Long_TP_1’ / ‘Short_TP_1’ and Stop options ‘Stop_long’ / ‘Stop_Short’ can also be configured in the same manner to conditionally trigger a trading bot and can be configured in the indicators Input options.
