Strategic Multi-Step Supertrend - Strategy [presentTrading]The code is mainly developed for me to stimulate the multi-step taking profit function for strategies. The result shows the drawdown can be reduced but at the same time reduced the profit as well. It can be a heuristic for futures leverage traders.
█ Introduction and How it is Different
The "Strategic Multi-Step Supertrend" is a trading strategy designed to leverage the power of multiple steps to optimize trade entries and exits across the Supertrend indicator. Unlike traditional strategies that rely on single entry and exit points, this strategy employs a multi-step approach to take profit, allowing traders to lock in gains incrementally. Additionally, the strategy is adaptable to both long and short trades, providing a comprehensive solution for dynamic market conditions.
This template strategy lies in its dual Supertrend calculation, which enhances the accuracy of trend detection and provides more reliable signals for trade entries and exits. This approach minimizes false signals and increases the overall profitability of trades by ensuring that positions are entered and exited at optimal points.
BTC 6h L/S Performance
█ Strategy, How It Works: Detailed Explanation
The "Strategic Multi-Step Supertrend Trader" strategy utilizes two Supertrend indicators calculated with different parameters to determine the direction and strength of the market trend. This dual approach increases the robustness of the signals, reducing the likelihood of entering trades based on false signals. Here is a detailed breakdown of how the strategy operates:
🔶 Supertrend Indicator Calculation
The Supertrend indicator is a trend-following overlay on the price chart, typically used to identify the direction of the trend. It is calculated using the Average True Range (ATR) to ensure that the indicator adapts to market volatility. The formula for the Supertrend indicator is:
Upper Band = (High + Low) / 2 + (Factor * ATR)
Lower Band = (High + Low) / 2 - (Factor * ATR)
Where:
- High and Low are the highest and lowest prices of the period.
- Factor is a user-defined multiplier.
- ATR is the Average True Range over a specified period.
The Supertrend changes its direction based on the closing price in relation to these bands.
🔶 Entry-Exit Conditions
The strategy enters long positions when both Supertrend indicators signal an uptrend, and short positions when both indicate a downtrend. Specifically:
- Long Condition: Supertrend1 < 0 and Supertrend2 < 0
- Short Condition: Supertrend1 > 0 and Supertrend2 > 0
- Long Exit Condition: Supertrend1 > 0 and Supertrend2 > 0
- Short Exit Condition: Supertrend1 < 0 and Supertrend2 < 0
🔶 Multi-Step Take Profit Mechanism
The strategy features a multi-step take profit mechanism, which allows traders to lock in profits incrementally. This is achieved through four user-configurable take profit levels. For each level, the strategy specifies a percentage increase (for long trades) or decrease (for short trades) in the entry price at which a portion of the position is exited:
- Step 1: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent1 / 100)
- Step 2: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent2 / 100)
- Step 3: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent3 / 100)
- Step 4: Exit a portion of the trade at Entry Price * (1 + Take Profit Percent4 / 100)
This staggered exit strategy helps in locking profits at multiple levels, thereby reducing risk and increasing the likelihood of capturing the maximum possible profit from a trend.
BTC Local
█ Trade Direction
The strategy is highly flexible, allowing users to specify the trade direction. There are three options available:
- Long Only: The strategy will only enter long trades.
- Short Only: The strategy will only enter short trades.
- Both: The strategy will enter both long and short trades based on the Supertrend signals.
This flexibility allows traders to adapt the strategy to various market conditions and their own trading preferences.
█ Usage
1. Add the strategy to your trading platform and apply it to the desired chart.
2. Configure the take profit settings under the "Take Profit Settings" group.
3. Set the trade direction under the "Trade Direction" group.
4. Adjust the Supertrend settings in the "Supertrend Settings" group to fine-tune the indicator calculations.
5. Monitor the chart for entry and exit signals as indicated by the strategy.
█ Default Settings
- Use Take Profit: True
- Take Profit Percentages: Step 1 - 6%, Step 2 - 12%, Step 3 - 18%, Step 4 - 50%
- Take Profit Amounts: Step 1 - 12%, Step 2 - 8%, Step 3 - 4%, Step 4 - 0%
- Number of Take Profit Steps: 3
- Trade Direction: Both
- Supertrend Settings: ATR Length 1 - 10, Factor 1 - 3.0, ATR Length 2 - 11, Factor 2 - 4.0
These settings provide a balanced starting point, which can be customized further based on individual trading preferences and market conditions.
Riskmangement
RiskMetrics█ OVERVIEW
This library is a tool for Pine programmers that provides functions for calculating risk-adjusted performance metrics on periodic price returns. The calculations used by this library's functions closely mirror those the Broker Emulator uses to calculate strategy performance metrics (e.g., Sharpe and Sortino ratios) without depending on strategy-specific functionality.
█ CONCEPTS
Returns, risk, and volatility
The return on an investment is the relative gain or loss over a period, often expressed as a percentage. Investment returns can originate from several sources, including capital gains, dividends, and interest income. Many investors seek the highest returns possible in the quest for profit. However, prudent investing and trading entails evaluating such returns against the associated risks (i.e., the uncertainty of returns and the potential for financial losses) for a clearer perspective on overall performance and sustainability.
One way investors and analysts assess the risk of an investment is by analyzing its volatility , i.e., the statistical dispersion of historical returns. Investors often use volatility in risk estimation because it provides a quantifiable way to gauge the expected extent of fluctuation in returns. Elevated volatility implies heightened uncertainty in the market, which suggests higher expected risk. Conversely, low volatility implies relatively stable returns with relatively minimal fluctuations, thus suggesting lower expected risk. Several risk-adjusted performance metrics utilize volatility in their calculations for this reason.
Risk-free rate
The risk-free rate represents the rate of return on a hypothetical investment carrying no risk of financial loss. This theoretical rate provides a benchmark for comparing the returns on a risky investment and evaluating whether its excess returns justify the risks. If an investment's returns are at or below the theoretical risk-free rate or the risk premium is below a desired amount, it may suggest that the returns do not compensate for the extra risk, which might be a call to reassess the investment.
Since the risk-free rate is a theoretical concept, investors often utilize proxies for the rate in practice, such as Treasury bills and other government bonds. Conventionally, analysts consider such instruments "risk-free" for a domestic holder, as they are a form of government obligation with a low perceived likelihood of default.
The average yield on short-term Treasury bills, influenced by economic conditions, monetary policies, and inflation expectations, has historically hovered around 2-3% over the long term. This range also aligns with central banks' inflation targets. As such, one may interpret a value within this range as a minimum proxy for the risk-free rate, as it may correspond to the minimum rate required to maintain purchasing power over time.
The built-in Sharpe and Sortino ratios that strategies calculate and display in the Performance Summary tab use a default risk-free rate of 2%, and the metrics in this library's example code use the same default rate. Users can adjust this value to fit their analysis needs.
Risk-adjusted performance
Risk-adjusted performance metrics gauge the effectiveness of an investment by considering its returns relative to the perceived risk. They aim to provide a more well-rounded picture of performance by factoring in the level of risk taken to achieve returns. Investors can utilize such metrics to help determine whether the returns from an investment justify the risks and make informed decisions.
The two most commonly used risk-adjusted performance metrics are the Sharpe ratio and the Sortino ratio.
1. Sharpe ratio
The Sharpe ratio , developed by Nobel laureate William F. Sharpe, measures the performance of an investment compared to a theoretically risk-free asset, adjusted for the investment risk. The ratio uses the following formula:
Sharpe Ratio = (𝑅𝑎 − 𝑅𝑓) / 𝜎𝑎
Where:
• 𝑅𝑎 = Average return of the investment
• 𝑅𝑓 = Theoretical risk-free rate of return
• 𝜎𝑎 = Standard deviation of the investment's returns (volatility)
A higher Sharpe ratio indicates a more favorable risk-adjusted return, as it signifies that the investment produced higher excess returns per unit of increase in total perceived risk.
2. Sortino ratio
The Sortino ratio is a modified form of the Sharpe ratio that only considers downside volatility , i.e., the volatility of returns below the theoretical risk-free benchmark. Although it shares close similarities with the Sharpe ratio, it can produce very different values, especially when the returns do not have a symmetrical distribution, since it does not penalize upside and downside volatility equally. The ratio uses the following formula:
Sortino Ratio = (𝑅𝑎 − 𝑅𝑓) / 𝜎𝑑
Where:
• 𝑅𝑎 = Average return of the investment
• 𝑅𝑓 = Theoretical risk-free rate of return
• 𝜎𝑑 = Downside deviation (standard deviation of negative excess returns, or downside volatility)
The Sortino ratio offers an alternative perspective on an investment's return-generating efficiency since it does not consider upside volatility in its calculation. A higher Sortino ratio signifies that the investment produced higher excess returns per unit of increase in perceived downside risk.
█ CALCULATIONS
Return period detection
Calculating risk-adjusted performance metrics requires collecting returns across several periods of a given size. Analysts may use different period sizes based on the context and their preferences. However, two widely used standards are monthly or daily periods, depending on the available data and the investment's duration. The built-in ratios displayed in the Strategy Tester utilize returns from either monthly or daily periods in their calculations based on the following logic:
• Use monthly returns if the history of closed trades spans at least two months.
• Use daily returns if the trades span at least two days but less than two months.
• Do not calculate the ratios if the trade data spans fewer than two days.
This library's `detectPeriod()` function applies related logic to available chart data rather than trade data to determine which period is appropriate:
• It returns true if the chart's data spans at least two months, indicating that it's sufficient to use monthly periods.
• It returns false if the chart's data spans at least two days but not two months, suggesting the use of daily periods.
• It returns na if the length of the chart's data covers less than two days, signifying that the data is insufficient for meaningful ratio calculations.
It's important to note that programmers should only call `detectPeriod()` from a script's global scope or within the outermost scope of a function called from the global scope, as it requires the time value from the first bar to accurately measure the amount of time covered by the chart's data.
Collecting periodic returns
This library's `getPeriodicReturns()` function tracks price return data within monthly or daily periods and stores the periodic values in an array . It uses a `detectPeriod()` call as the condition to determine whether each element in the array represents the return over a monthly or daily period.
The `getPeriodicReturns()` function has two overloads. The first overload requires two arguments and outputs an array of monthly or daily returns for use in the `sharpe()` and `sortino()` methods. To calculate these returns:
1. The `percentChange` argument should be a series that represents percentage gains or losses. The values can be bar-to-bar return percentages on the chart timeframe or percentages requested from a higher timeframe.
2. The function compounds all non-na `percentChange` values within each monthly or daily period to calculate the period's total return percentage. When the `percentChange` represents returns from a higher timeframe, ensure the requested data includes gaps to avoid compounding redundant values.
3. After a period ends, the function queues the compounded return into the array , removing the oldest element from the array when its size exceeds the `maxPeriods` argument.
The resulting array represents the sequence of closed returns over up to `maxPeriods` months or days, depending on the available data.
The second overload of the function includes an additional `benchmark` parameter. Unlike the first overload, this version tracks and collects differences between the `percentChange` and the specified `benchmark` values. The resulting array represents the sequence of excess returns over up to `maxPeriods` months or days. Passing this array to the `sharpe()` and `sortino()` methods calculates generalized Information ratios , which represent the risk-adjustment performance of a sequence of returns compared to a risky benchmark instead of a risk-free rate. For consistency, ensure the non-na times of the `benchmark` values align with the times of the `percentChange` values.
Ratio methods
This library's `sharpe()` and `sortino()` methods respectively calculate the Sharpe and Sortino ratios based on an array of returns compared to a specified annual benchmark. Both methods adjust the annual benchmark based on the number of periods per year to suit the frequency of the returns:
• If the method call does not include a `periodsPerYear` argument, it uses `detectPeriod()` to determine whether the returns represent monthly or daily values based on the chart's history. If monthly, the method divides the `annualBenchmark` value by 12. If daily, it divides the value by 365.
• If the method call does specify a `periodsPerYear` argument, the argument's value supersedes the automatic calculation, facilitating custom benchmark adjustments, such as dividing by 252 when analyzing collected daily stock returns.
When the array passed to these methods represents a sequence of excess returns , such as the result from the second overload of `getPeriodicReturns()`, use an `annualBenchmark` value of 0 to avoid comparing those excess returns to a separate rate.
By default, these methods only calculate the ratios on the last available bar to minimize their resource usage. Users can override this behavior with the `forceCalc` parameter. When the value is true , the method calculates the ratio on each call if sufficient data is available, regardless of the bar index.
Look first. Then leap.
█ FUNCTIONS & METHODS
This library contains the following functions:
detectPeriod()
Determines whether the chart data has sufficient coverage to use monthly or daily returns
for risk metric calculations.
Returns: (bool) `true` if the period spans more than two months, `false` if it otherwise spans more
than two days, and `na` if the data is insufficient.
getPeriodicReturns(percentChange, maxPeriods)
(Overload 1 of 2) Tracks periodic return percentages and queues them into an array for ratio
calculations. The span of the chart's historical data determines whether the function uses
daily or monthly periods in its calculations. If the chart spans more than two months,
it uses "1M" periods. Otherwise, if the chart spans more than two days, it uses "1D"
periods. If the chart covers less than two days, it does not store changes.
Parameters:
percentChange (float) : (series float) The change percentage. The function compounds non-na values from each
chart bar within monthly or daily periods to calculate the periodic changes.
maxPeriods (simple int) : (simple int) The maximum number of periodic returns to store in the returned array.
Returns: (array) An array containing the overall percentage changes for each period, limited
to the maximum specified by `maxPeriods`.
getPeriodicReturns(percentChange, benchmark, maxPeriods)
(Overload 2 of 2) Tracks periodic excess return percentages and queues the values into an
array. The span of the chart's historical data determines whether the function uses
daily or monthly periods in its calculations. If the chart spans more than two months,
it uses "1M" periods. Otherwise, if the chart spans more than two days, it uses "1D"
periods. If the chart covers less than two days, it does not store changes.
Parameters:
percentChange (float) : (series float) The change percentage. The function compounds non-na values from each
chart bar within monthly or daily periods to calculate the periodic changes.
benchmark (float) : (series float) The benchmark percentage to compare against `percentChange` values.
The function compounds non-na values from each bar within monthly or
daily periods and subtracts the results from the compounded `percentChange` values to
calculate the excess returns. For consistency, ensure this series has a similar history
length to the `percentChange` with aligned non-na value times.
maxPeriods (simple int) : (simple int) The maximum number of periodic excess returns to store in the returned array.
Returns: (array) An array containing monthly or daily excess returns, limited
to the maximum specified by `maxPeriods`.
method sharpeRatio(returnsArray, annualBenchmark, forceCalc, periodsPerYear)
Calculates the Sharpe ratio for an array of periodic returns.
Callable as a method or a function.
Namespace types: array
Parameters:
returnsArray (array) : (array) An array of periodic return percentages, e.g., returns over monthly or
daily periods.
annualBenchmark (float) : (series float) The annual rate of return to compare against `returnsArray` values. When
`periodsPerYear` is `na`, the function divides this value by 12 to calculate a
monthly benchmark if the chart's data spans at least two months or 365 for a daily
benchmark if the data otherwise spans at least two days. If `periodsPerYear`
has a specified value, the function divides the rate by that value instead.
forceCalc (bool) : (series bool) If `true`, calculates the ratio on every call. Otherwise, ratio calculation
only occurs on the last available bar. Optional. The default is `false`.
periodsPerYear (simple int) : (simple int) If specified, divides the annual rate by this value instead of the value
determined by the time span of the chart's data.
Returns: (float) The Sharpe ratio, which estimates the excess return per unit of total volatility.
method sortinoRatio(returnsArray, annualBenchmark, forceCalc, periodsPerYear)
Calculates the Sortino ratio for an array of periodic returns.
Callable as a method or a function.
Namespace types: array
Parameters:
returnsArray (array) : (array) An array of periodic return percentages, e.g., returns over monthly or
daily periods.
annualBenchmark (float) : (series float) The annual rate of return to compare against `returnsArray` values. When
`periodsPerYear` is `na`, the function divides this value by 12 to calculate a
monthly benchmark if the chart's data spans at least two months or 365 for a daily
benchmark if the data otherwise spans at least two days. If `periodsPerYear`
has a specified value, the function divides the rate by that value instead.
forceCalc (bool) : (series bool) If `true`, calculates the ratio on every call. Otherwise, ratio calculation
only occurs on the last available bar. Optional. The default is `false`.
periodsPerYear (simple int) : (simple int) If specified, divides the annual rate by this value instead of the value
determined by the time span of the chart's data.
Returns: (float) The Sortino ratio, which estimates the excess return per unit of downside
volatility.
Wolf DCA CalculatorThe Wolf DCA Calculator is a powerful and flexible indicator tailored for traders employing the Dollar Cost Averaging (DCA) strategy. This tool is invaluable for planning and visualizing multiple entry points for both long and short positions. It also provides a comprehensive analysis of potential profit and loss based on user-defined parameters, including leverage.
Features
Entry Price: Define the initial entry price for your trade.
Total Lot Size: Specify the total number of lots you intend to trade.
Percentage Difference: Set the fixed percentage difference between each DCA point.
Long Position: Toggle to switch between long and short positions.
Stop Loss Price: Set the price level at which you plan to exit the trade to minimize losses.
Take Profit Price: Set the price level at which you plan to exit the trade to secure profits.
Leverage: Apply leverage to your trade, which multiplies the potential profit and loss.
Number of DCA Points: Specify the number of DCA points to strategically plan your entries.
How to Use
1. Add the Indicator to Your Chart:
Search for "Wolf DCA Calculator" in the TradingView public library and add it to your chart.
2. Configure Inputs:
Entry Price: Set your initial trade entry price.
Total Lot Size: Enter the total number of lots you plan to trade.
Percentage Difference: Adjust this to set the interval between each DCA point.
Long Position: Use this toggle to choose between a long or short position.
Stop Loss Price: Input the price level at which you plan to exit the trade to minimize losses.
Take Profit Price: Input the price level at which you plan to exit the trade to secure profits.
Leverage: Set the leverage you are using for the trade.
Number of DCA Points: Specify the number of DCA points to plan your entries.
3. Analyze the Chart:
The indicator plots the DCA points on the chart using a stepline style for clear visualization.
It calculates the average entry point and displays the potential profit and loss based on the specified leverage.
Labels are added for each DCA point, showing the entry price and the lots allocated.
Horizontal lines mark the Stop Loss and Take Profit levels, with corresponding labels showing potential loss and profit.
Benefits
Visual Planning: Easily visualize multiple entry points and understand how they affect your average entry price.
Risk Management: Clearly see your Stop Loss and Take Profit levels and their impact on your trade.
Customizable: Adapt the indicator to your specific strategy with a wide range of customizable parameters.
IV Rank Oscillator by dinvestorqShort Title: IVR OscSlg
Description:
The IV Rank Oscillator is a custom indicator designed to measure and visualize the Implied Volatility (IV) Rank using Historical Volatility (HV) as a proxy. This indicator helps traders determine whether the current volatility level is relatively high or low compared to its historical levels over a specified period.
Key Features :
Historical Volatility (HV) Calculation: Computes the historical volatility based on the standard deviation of logarithmic returns over a user-defined period.
IV Rank Calculation: Normalizes the current HV within the range of the highest and lowest HV values over the past 252 periods (approximately one year) to generate the IV Rank.
IV Rank Visualization: Plots the IV Rank, along with reference lines at 50 (midline), 80 (overbought), and 20 (oversold), making it easy to interpret the relative volatility levels.
Historical Volatility Plot: Optionally plots the Historical Volatility for additional reference.
Usage:
IV Rank : Use the IV Rank to assess the relative level of volatility. High IV Rank values (close to 100) indicate that the current volatility is high relative to its historical range, while low IV Rank values (close to 0) indicate low relative volatility.
Reference Lines: The overbought (80) and oversold (20) lines help identify extreme volatility conditions, aiding in trading decisions.
Example Use Case:
A trader can use the IV Rank Oscillator to identify potential entry and exit points based on the volatility conditions. For instance, a high IV Rank may suggest a period of high market uncertainty, which could be a signal for options traders to consider strategies like selling premium. Conversely, a low IV Rank might indicate a more stable market condition.
Parameters:
HV Calculation Length: Adjustable period length for the historical volatility calculation (default: 20 periods).
This indicator is a powerful tool for options traders, volatility analysts, and any market participant looking to gauge market conditions based on historical volatility patterns.
ATR Grid Levels [By MUQWISHI]▋ INTRODUCTION :
The “ATR Levels” produces a sequence of horizontal line levels above and below the Center Line (reference level). They are sized based on the instrument's volatility, representing the average historical price movement on a selected higher timeframe using the average true range (ATR) indicator.
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▋ OVERVIEW:
_______________________
▋ IMPLEMENTATION:
The indicator starts by drawing a Center Line that is selected by the user from a variety of common levels. Then, it draws a sequence of horizontal lines above and below the Center Line, which are sized based on the most confirmed average true range (ATR) at the selected higher timeframe.
In the top right corner of the chart, there is a table displaying both the selected ATR (in the right cell) and the ATR of the current bar (in the left cell). This feature enables users to compare these two values. It's important to note that the ATR of the current bar may not be confirmed yet, as the market is still active.
_______________________
▋ INDICATOR SETTINGS:
# Section (1): ATR Settings
(1) ATR Period & Smoothing.
(2) Timeframe where ATR value imported from.
(3) To show/hide the table comparison between the current ATR and the ATR for the selected period. Also, ability to color the current ATR cell if it’s greater.
# Section (2): Levels Settings
(1) Selecting a Center Line level among a variety of common levels, which is taken as reference level where a sequence of horizontal lines plot above and below it.
(2) Size of grid in ATR unit.
(3) Number of horizontal lines to plot in a single side.
(4) Grid Side. Ability to plot above or below the Center Line.
(5) Lines colors, and mode.
(6) Line style.
(7) Label style.
(8) Ability to remove old lines, from previous HTF.
_____________________
▋ COMMENT:
The ATR Levels should not be taken as a major concept to build a trading decision.
Please let me know if you have any questions.
Thank you.
IMGPro - V1.0IMG PRO uses nine sequential stages to analyse price action and alert users to potential Trade Setups using various Price Action Concepts as detailed below:
1. Identify Higher Timeframe Market Structure and Points of Interest (HTF-POIs)
2. Calculate position size based on your risk appetite, fees and account leverage and customisable maximum trade risk
3. Verify price is in a premium or discount
4. Determine Lower Timeframe Market Structure Break Type
5. Apply Early Warning Systems if enabled
6. Alert you to risk managed trade setups at enabled HTF-POIs
7. Alert you to unentered trade invalidations
8. Alert you to trade exits based on your set criteria
9. Provide Additional Alerts such as Higher Timeframe SFPs and Market Structure Breaks that act as potential early warnings that a trade setup may be forming
1. HTF POIs Available with IMG PRO:
a. HTF Market Structure Range Highs and Lows
b. HTF Order Blocks
c. HTF Order Blocks & FVG Overlaps
d. HTF Breakers
e. HTF Breakers & FVG Overlaps
f. HTF FVGs
g. Internal Liquidity Levels
These levels are used for Trade Signals based on user settings applied. Details provided in the trade setup section below
a. Higher Timeframe Market Structure Range High and Low through Multiple Timeframe Analysis:
Market Structure can be defined using several techniques. The IMG indicators employ the Close through High/Low technique, which necessitates a candle to close through a structural level to validate a structural break and designate a new range.
Example: H12 Market Structure visualisation on a H12 Chart with annotations:
By selecting a particular Market Structure timeframe in the settings, the indicator immediately illustrates both current and historical market structures for the chosen timeframe across all subordinate timeframes, subject to the limitations of your Tradingview subscription.
Example: H12 Market Structure visualisation on a H1 Chart with annotations:
b. Higher Timeframe Order Blocks
An Order Block represents the last candle of the opposite direction preceding a Market Structure Break. For instance, a bullish Order Block is identified as the final bearish candle leading to a bullish market structure break, and vice versa for bearish Order Blocks.
Example: H12 OB visualisation on a H12 Chart with annotations:
When activated, the indicator will highlight the Higher Timeframe Order Blocks responsible for a Market Structure Break on all subordinate timeframes relative to the chosen Market Structure Timeframe.
Note: if multiple OBs exist, the indicator will display the OB closest to the new range extreme
Example: H12 OB visualisation on a H1 Chart with annotations:
c. HTF Order Blocks & HTF FVG Overlaps
When enabled, the IMG Pro will only display overlaps of Order Blocks and FVGs. These are strong points of interest to look for trade setups
Example of the indicator displaying a Higher Timeframe’s (HTF) OBs + FVGs on a Lower Timeframe (LTF) chart:
The upper chart labelled H12/H12 is the indicator displaying H12 Structure and OB+FVGs on a H12 chart.
The lower chart labelled H12/H1 is the indicator displaying H12 OB+FVGs on a H1 chart:
d. Higher Timeframe Breakers
A Breaker Block is identified as the most recent Order Block that has been breached by price, leading to an opposite Market Structure Break. For example, a bullish Breaker Block is the last bearish Order Block that price has passed through, confirming a bullish structural break, and the inverse is true for bearish Breakers.
Example: H12 Breaker visualisation on a H12 Chart with annotations:
Once enabled, the system will display Higher Timeframe Breaker Blocks after an opposite Market Structure Break is confirmed on all subordinate timeframes.
Example: H12 Breaker visualisation on a H1 Chart with annotations:
e. HTF Breakers & HTF FVG Overlaps
When enabled, the IMG Pro will only display overlaps of Breakers and FVGs. These are strong points of interest to look for trade setups
Example:
The upper chart labelled H12/H12 is the indicator displaying H12 Structure and Breakers+FVGs on a H12 chart
The lower chart labelled H12/H1 is the indicator displaying H12 Breakers+FVGs on a H1 chart
f. Higher Timeframe Fair Value Gaps (FVGs)
A Fair Value Gap is a concept used by price action traders to identify market inefficiencies, where buying and selling are not balanced. It appears on a chart as a triple-candle pattern, with a large candle flanked by two others whose highs and lows do not overlap with the large candle, creating a gap. This gap often attracts the price towards it before the market resumes its previous direction.
Example of the indicator displaying a Higher Timeframe’s FVGs on a Lower Timeframe (LTF) chart:
-The upper chart labelled H12/H12 is the indicator displaying H12 Structure and FVGs on a H12 chart.
-The lower chart labelled H12/H1 is the indicator displaying H12 FVGs on a H1 chart
g. HTF Internal Liquidity Levels (FVGs)
A HTF Liquidity Level is a Higher Timeframe three bar Pivot that forms inside an active range.
When enabled, the system will display all UNTESTED HTF pivots formed within an active range. Lines will stop extending once they are either tested or HTF Market Structure Breaks
Example: H12 Liquidity Levels on a H1 Chart:
2. Risk Management and Position Sizing:
a. Automated Position Sizing:
The System will automatically calculate position size based on the account size, max leverage and risk appetite (capital risk per trade) details input in settings. Calculated trade details are included in the Tradingview Alerts as well as interactive labels on the charts.
Details include but are not limited to:
Trade Timeframe
Side: Long/Short
Type: Limit/Market
Position Size in $ and Units
Lot sizes if applicable
Trade Risk %
Take Profit Level
Entry Price
Stoploss Price
b. Maximum Trade Risk:
IMG PRO has the ability to invalidate potential trade entries if it exceeds your maximum Trade Risk threshold. Trade Risk is the % price difference between entry and stoploss.
When an invalid signal is generated, the signal will not be shaded and the interactive label will display the reason for invalidation
In the example below, Max Trade Risk is set to 2% , but the trade signal had a trade risk of 5.11% invalidating the signal with a grey triangle
3. Verify Premium / Discount:
The system can be setup to only display signals that are in the top or bottom n% of the Market Structure Range
A value of 0 (default) will disable the premium/discount system and utilize the entire range for all signal types (bullish and bearish)
EXAMPLES:
A value of 50% will only display bullish signals that have, at minimum, tagged the bottom half of the range and vice versa for bearish signals.
A value of 25% will only display bullish signals that have tagged the bottom quarter of the range and vice versa.
A value of 38.2% will display signals that tag the top and bottom 38.2% of the range (equivalent of the 61.8% OTE. retracement) Etc.
4. Determine Lower Timeframe Market Structure Break Type
IMG Pro has two options for Lower Timeframe Structure Breaks:
Market Structure Breaks: When selected, the system will use the first opposite pivot (in the current chart timeframe) to the left of a confirmed SFP to calculate a break in market structure when price closes through it:
Market Structure Shifts: When selected, the system will use the first opposite pivot (in the current chart timeframe) to the left OR right of a confirmed SFP to calculate a break in market structure when price closes through it. MSS’ are more sensitive and may provide more false signals but are useful when there are big spike liquidity runs:
5. Apply Early Warning Systems if enabled:
The IMG Pro indicator has an early warning system that will generate a potential setup alert before a HTF SFP is confirmed
There are two types of early warnings:
LTF Structure Break Early Warning:
If enabled, the system will generate a potential setup alert if price cuts through a HTF level (Range Extreme / Internal Liquidity) and prints an opposite LTF MSB back through that level. This is a more aggressive approach where the system does not wait for the HTF SFP to be confirmed.
Example: In the screenshot below, the system did not wait for a H12 SFP to be confirmed, allowing it to signal an entry that would have otherwise been missed if the LTF Structure Break early warning system was not enabled
LTF FVG Early Warning:
If enabled, the system will generate a potential setup alert if price cuts through a HTF level (Range Extreme / Internal Liquidity) and prints an opposite LTF FVG back through that level. No LTF MSB is required and a limit order at the FVG is signalled. This is a more aggressive approach where the system does not wait for the HTF SFP to be confirmed.
Example: In the screenshot below, the system did not wait for a H12 SFP to be confirmed, signalling an entry as soon as an opposite LTF FVG is confirmed pushing price back through the HTF Liquidity Levels
6. Trade Setup Types Available with IMG PRO:
The system will alert you to potential trade setups at these HTF POIs: .
a. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
b. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at enabled HTF POIs
c. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at All Internal Liquidity Levels (With Trend and Counter Trend)
d. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at All Internal Liquidity Levels (With Trend ONLY)
e. Lower Timeframe (LTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at enabled HTF POIs
f. Multiple LTF Entry Options once a signal is confirmed
a. HTF Swing Failure followed by a LTF MSB at Range Extremes
A Swing Failure Pattern (SFP) is a technical analysis concept used in trading to identify potential reversals in price trends. It occurs when the price attempts to surpass a previous high or low but fails to sustain that level, indicating a possible change in market direction. There are multiple methods to define a SFP but this indicator uses the failure to close through a Key Level. When confirmed, HTF SFPs will be displayed on-screen and an alert will fire if enabled.
Example: EURUSD H12 Trade Setup Alerts at Range Extremes on a H1 Chart:
Alerts to Enter at Lower Timeframe MSBs
When enabled, a potential trade setup label and alert will generate when a HTF SFP is confirmed at a Range Extreme followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are agnostic to current Market Structure bias and will generate at both extremes.
b. HTF Swing Failure followed by a LTF MSB at HTF POIs:
When enabled, a trade setup label and alert will generate when a HTF SFP is confirmed at an enabled Higher Timeframe POI (Order Blocks / Breakers / FVGs) followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are always in line current Market Structure bias.
Example: H12 SFPs and Trade Setups at HTF POIs with Fluid Exits on a H1 Chart:
c. HTF Swing Failure followed by a LTF MSB at All Internal Liquidity Levels ( With Trend and Counter Trend ):
When enabled, a trade setup label and alert will generate when a HTF SFP is confirmed at an Internal Liquidity Level followed by a LTF Market Structure Break (MSB) or Market Structure Shift(MSS). These signals are agnostic to HTF Market Structure bias and will alert to setups with and counter trend.
Example:
d. HTF Swing Failure followed by a LTF MSB at All Internal Liquidity Levels ( With Trend ONLY )
Same as (c), but will only signal trades that are in line with higher timeframe structure. I.e If HTF Structure is bullish, then only bullish trades will be signalled.
e. LTF Swing Failure followed by a LTF MSB at enabled HTF POIs
The system will alert you to a lower timeframe setup if these conditions are met inside enabled HTF POIs (OBs / Breakers / FVGs):
- LTF SFP
- LTF MSB
Example:
f. LTF Entry Options:
IMG PRO provides the following options for LTF Entries:
i. Limit Entry at MSB Level
ii. Limit Entry at Breaker
iii. Limit Entry at Raid Candle
iv. Limit Entry at OTE 70.5% Retracement
v. Market Entries (where applicable)
Trade entry alerts will detail limit entry prices based on the option selected here.
7. Unentered Trade Invalidations:
IMG Pro can invalidate unentered signals based on these custom criteria:
a. Opposite HTF SFP Before Entry
b. TP Hit Before Entry
c. Confirmed Opposite Signal Before Entry
If enabled and criteria met, the system will alert you to cancel any limit orders for the trade that is being invalidated.
8. Trade Exit Types Available with IMG PRO:
The system provides the following options for trade exit alerts:
a. Exit at Fixed R:R
b. Exit at a confirmed Opposite Signal (Fluid Exits)
c. Exit at enabled and untested HTF POIs
d. Exit on an opposite HTF SFP at a liquidity level
Example: H12 SFPs and Potential Trade Setups at Internal Liquidity Levels with Exit at closest untested HTF POI on a H1 Chart:
9. IMG PRO Alerts Overview
The system provides notifications of:
a. Confirmed HTF Market Structure Breaks
b. Confirmed HTF SFPs at Range Extremes
c. Confirmed HTF SFPs at HTF POIs
d. Confirmed HTF SFPs at Liquidity Levels
e. Potential Trade Setups at Range Extremes
f. Potential Trade Setups at HTF Points of Interest
g. Potential Trade Setups at HTF Liquidity Levels
h. LTF SFPs inside HTF POIs
i. Potential LTF Setups at HTF POIs
j. All Exit Types including Stoplosses
k. All Trade Invalidations
To enable alerts, right-click on the indicator and select “Add Alert on IMG ...”. You may customise the alert name as desired and then click 'Create' to finalise the alert setup.
General Note:
There is no system, indicator, algorithm, or strategy that can provide absolute certainty in predicting market movements. Use trading indicators as a tool to assist with trading decisions; manage your risk wisely.
Stay safe and Happy Trading!
IMGCore - V1.0IMG Core uses five sequential stages to analyse price action and alert users to potential Trade Setups using various Price Action Concepts as detailed below:
1. Identify Higher Timeframe Market Structure and Points of Interest (HTF-POIs)
2. Calculate position size based on your risk appetite, fees and account leverage and customisable maximum trade risk
3. Alert you to risk managed trade setups at enabled HTF-POIs
4. Alert you to trade exits based on your set criteria
5. Provide Additional Alerts such as Higher Timeframe SFPs and Market Structure Breaks that act as potential early warnings that a trade setup may be forming
1. HTF POIs Available with IMG CORE:
a. HTF Market Structure Range Highs and Lows
b. HTF Order Blocks
c. HTF Breakers
d. HTF FVGs
a. Higher Timeframe Market Structure Range High and Low through Multiple Timeframe Analysis:
Market Structure can be defined using several techniques. The IMG indicators employ the Close through High/Low technique, which necessitates a candle to close through a structural level to validate a structural break and designate a new range.
Example: H12 Market Structure visualisation on a H12 Chart with annotations:
By selecting a particular Market Structure timeframe in the settings, the indicator immediately illustrates both current and historical market structures for the chosen timeframe across all subordinate timeframes, subject to the limitations of your Tradingview subscription.
Example: H12 Market Structure visualisation on a H1 Chart with annotations:
b. Higher Timeframe Order Blocks
An Order Block represents the last candle of the opposite direction preceding a Market Structure Break. For instance, a bullish Order Block is identified as the final bearish candle leading to a bullish market structure break, and vice versa for bearish Order Blocks.
Example: H12 OB visualisation on a H12 Chart with annotations:
When activated, the indicator will highlight the Higher Timeframe Order Blocks responsible for a Market Structure Break on all subordinate timeframes relative to the chosen Market Structure Timeframe.
Note: if multiple OBs exist, the indicator will display the OB closest to the new range extreme
Example: H12 OB visualisation on a H1 Chart with annotations:
c. Higher Timeframe Breakers
A Breaker Block is identified as the most recent Order Block that has been breached by price, leading to an opposite Market Structure Break. For example, a bullish Breaker Block is the last bearish Order Block that price has passed through, confirming a bullish structural break, and the inverse is true for bearish Breakers.
Example: H12 Breaker visualisation on a H12 Chart with annotations:
Once enabled, the system will display Higher Timeframe Breaker Blocks after an opposite Market Structure Break is confirmed on all subordinate timeframes.
Example: H12 Breaker visualisation on a H1 Chart with annotations:
d. Higher Timeframe Fair Value Gaps (FVGs)
A Fair Value Gap is a concept used by price action traders to identify market inefficiencies, where buying and selling are not balanced. It appears on a chart as a triple-candle pattern, with a large candle flanked by two others whose highs and lows do not overlap with the large candle, creating a gap. This gap often attracts the price towards it before the market resumes its previous direction.
Example of the indicator displaying a Higher Timeframe’s FVGs on a Lower Timeframe (LTF) chart:
-The upper chart labelled H12/H12 is the indicator displaying H12 Structure and FVGs on a H12 chart.
-The lower chart labelled H12/H1 is the indicator displaying H12 FVGs on a H1 chart
2. Risk Management and Position Sizing:
a. Automated Position Sizing:
The System will automatically calculate position size based on the account size, max leverage and risk appetite (capital risk per trade) details input in settings. Calculated trade details are included in the Tradingview Alerts as well as interactive labels on the charts.
Details include but are not limited to:
Trade Timeframe
Side: Long/Short
Type: Limit/Market
Position Size in $ and Units
Lot sizes if applicable
Trade Risk %
Take Profit Level
Entry Price
Stoploss Price
b. Maximum Trade Risk:
IMG Core has the ability to invalidate potential trade entries if it exceeds your maximum Trade Risk threshold. Trade Risk is the % price difference between entry and stoploss.
When an invalid signal is generated, the signal will not be shaded and the interactive label will display the reason for invalidation
In the example below, Max Trade Risk is set to 2% , but the trade signal had a trade risk of 5.11% , invalidating the signal with a grey triangle
3. Trade Setup Types Available with IMG CORE:
The system will alert you to potential trade setups at these HTF POIs: .
a. Higher Timeframe (HTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
b. Higher Timeframe (HTF) Swing Failure followed by a Higher Timeframe (HTF) MSB at enabled HTF POIs
c. Lower Timeframe (LTF) Swing Failure followed by a Lower Timeframe (LTF) MSB at enabled HTF POIs
d. Multiple LTF Entry Options once a signal is confirmed
a. HTF Swing Failure followed by a Lower Timeframe (LTF) MSB at Range Extremes
A Swing Failure Pattern (SFP) is a technical analysis concept used in trading to identify potential reversals in price trends. It occurs when the price attempts to surpass a previous high or low but fails to sustain that level, indicating a possible change in market direction. There are multiple methods to define a SFP but this indicator uses the failure to close through a Key Level. When confirmed, HTF SFPs will be displayed on-screen and an alert will fire if enabled.
Example: H12 SFPs at Range Extremes on a H1 Chart:
Alerts to Enter at Lower Timeframe MSBs
When enabled, a potential trade setup label and alert will generate when a HTF SFP is confirmed at a Range Extreme followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are agnostic to current Market Structure bias and will generate at both extremes.
b. HTF Swing Failure followed by a Lower Timeframe (LTF) MSB at HTF POIs:
When enabled, a potential trade setup label and alert will generate when a HTF SFP is confirmed at an enabled Higher Timeframe POI (Order Blocks / Breakers / FVGs) followed by a Chart Timeframe (Lower Timeframe) Market Structure Break (MSB). These signals are always in line current Market Structure bias.
Example: H12 SFPs and Trade Setups at HTF POIs with Fluid Exits on a H1 Chart:
c. LTF Swing Failure followed by a LTF MSB at Range Extremes at enabled HTF POIs
The system will alert you to a lower timeframe setup if these conditions are met inside enabled HTF POIs (OBs / Breakers / FVGs):
- LTF SFP
- LTF MSB
Signals will alert you to enter a Limit Entry at the LTF MSB Level OR LTF Breaker
Example:
d. LTF Entry Options:
IMG CORE provides the following options for LTF Entries:
i. Limit Entry at Lower Timeframe MSB Levels
ii. Limit Entry at Lower Timeframe Breakers
Based on this selection, the trade setup alert will provide entry price details to set limit orders at the MSB level or LTF Breaker High.
4. Trade Exit Types Available with IMG CORE:
The system provides the following options for trade exit alerts:
i. User defined Risk to Reward (R:R)
ii. On a confirmed Opposite Signal (Fluid Exits)
Example: H12 Long Entry and Exit Signal using Fluid Exits H1 Chart:
5. IMG CORE Alerts Overview
The system provides notifications of:
1. Confirmed HTF Market Structure Breaks
2. Confirmed HTF SFPs at Range Extremes
3. Confirmed HTF SFPs at HTF POIs
4. Potential Trade Setups at Range Extremes
5. Potential Trade Setups at HTF Points of Interest (HTF-LTF and LTF-LTF)
6. Fixed R Trade Exits
7. Exit on Opposing Signals (Fluid Exits)
To enable alerts, right-click on the indicator and select “Add Alert on IMG ...”. You may customise the alert name as desired and then click 'Create' to finalise the alert setup.
General Note:
There is no system, indicator, algorithm, or strategy that can provide absolute certainty in predicting market movements. Use trading indicators as a tool to assist with trading decisions; manage your risk wisely.
Stay safe and Happy Trading!
TrendCryptoThe _trendcrypto script is a trading strategy that uses a variety of indicators to identify potential trading opportunities, including the Parabolic SAR, ADX, and RSI.
The script first calculates the RMA, SMA, and trend direction. The RMA is a moving average that is weighted more heavily towards recent prices. The SMA is a simple moving average that gives equal weight to all prices in the period. The trend direction is calculated by comparing the current price to the price a certain number of periods ago.
The script then uses the RMA, SMA, and trend direction to identify potential trading opportunities. If the current price is above the RMA and the trend direction is up, the script will generate a buy signal. If the current price is below the RMA and the trend direction is down, the script will generate a sell signal.
The script also calculates the Parabolic SAR, which is a technical indicator that helps traders identify potential trend reversals. The Parabolic SAR is calculated using a formula that takes into account the high and low prices of a security over a specified period of time.
The script also calculates the ADX, which is a trend strength indicator. The ADX is calculated using a formula that takes into account the difference between the high and low prices of a security, as well as the difference between the closing price and the previous close.
The script also calculates the RSI, which is a momentum indicator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. The RSI is calculated over a specified period of time, and the default value in the code is 14.
The script also allows users to specify a stop loss and take profit level for each trade. The default stop loss level is 4% and the default take profit level is 7%.
Portfolio HeatThe "Portfolio Heat" indicator offers a visual representation of potential risk exposure for a portfolio across up to eight different symbols. It dynamically calculates three risk metrics based on current price, the number of shares owned, your designated stop loss, and total account size.
Open Dollar Risk – the total dollar amount you will lose if your stop loss is hit.
Open % of Portfolio Risk – the risk as a percentage of your total account size.
Starting Capital Risk – the dollar amount risked based on the difference between the entry price and stop price.
These metrics adjust in real-time, allowing you to monitor and manage risk more effectively.
Open portfolio heat refers to how much you would lose if all your currently held stock positions hit their stop-losses, whether those stop-losses are below what you paid for them - referred to as your “cost basis” - at your cost basis (breakeven) or above your cost basis (in the money). Admittedly, it’s a pretty bad day when all your stops are hit at once, but as traders we need to prepare for the worst. To visualize what “open heat” looks like on a single stock position, please note the chart below:
In the example above you can see that if you were to purchase 100 shares of this stock at a cost-basis of $18/share, and your stop-loss is placed at $15, if the current price of the stock is at $20 and the stock price drops to hit your stop-loss, it would result in a $500 total drawdown in your portfolio. Keep in mind this is just one stock position. Hypothetically, if you were even holding two stocks that had the above open heat, with a $10,000 account size, you could experience a 10% drawdown quite fast if the market corrects.
The “Portfolio Heat” indicator is fully customizable allowing traders to select the number of positions in the portfolio, colors and a detailed or a summary view of risk.
Note if entering a short position, you will enter the number of shares owned as a negative number.
Drawdown Dynamics IndicatorDescription :
The Drawdown Dynamics Indicator is a straightforward tool that offers insights into three critical aspects of an asset’s financial performance: Total Max Drawdown, Rolling Period Max Drawdown, and Current Max Drawdown. Inside of the indicator, you can select to view either the rolling period max drawdown or the all-time max drawdown. This is represented by the gray line. The blue line represents the asset's current drawdown.
Rolling Period Max Drawdown is more about a snapshot view, highlighting the maximum loss from a peak to a trough for an adjustable rolling time frame. This is a feature not available with other indicators that exist on TradingView.
Total Max Drawdown gives a broad view, showcasing the all-time deepest decline in an asset’s value.
Current Max Drawdown offers a live update, focusing on the asset's present phase and how it's performing in real-time.
Practical Uses :
The utility of this indicator becomes evident when you start exploring the risks and performance metrics of assets. A notable use of this indicator is in comparing the drawdowns of a trading strategy against the inherent drawdowns of an asset. It helps in painting a clearer picture of risk and performance of both the asset and the strategy.
Risk Understanding : By comparing the strategy drawdown to the asset drawdown, traders get to understand if the risk they’re taking aligns with the asset’s natural risk behavior.
Evaluating Strategy’s Strength : If a strategy can weather the storms of the asset's natural drawdown phases and come out relatively unscathed, it can speak to its strength.
Performance Comparison : It also acts as a benchmark tool. Traders can pit different strategies against each other, using the asset’s drawdown as a baseline, to see which one manages risks better.
Disclaimer : This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
Curved Management (Zeiierman)█ Overview
The Curved Management (Zeiierman) is a trade management indicator tailored for traders looking to visualize their entry, stop loss, and take profit levels. Unique in its design, this indicator doesn't just display lines; it offers rounded or curved visualizations, setting it apart from conventional tools.
█ How It Works
At its core, this indicator leverages the power of the Average True Range (ATR), a metric for volatility, to establish logical stop-loss levels based on recent price action. By incorporating the ATR, the tool dynamically adapts to the market's changing volatility. What sets it apart is the unique curved visualization. Instead of the usual straight lines representing entry/sl levels, users can choose between rounded and straight edges for their take profit and stop loss levels. This aesthetic tweak gives the chart a cleaner look and offers a more intuitive understanding of risk management.
█ How to Apply the Indicator
Upon initially loading the indicator, a label appears that reads, "Set the 'xy' time and price for 'Curved Management (Zeiierman).'" This prompts you to click on the chart at your entry point. After selecting your entry point on the chart, the indicator will load. Ensure you adjust the trend direction in the settings panel based on whether you took a long or short position.
█ How to Use
Use the tool to manage your active position.
Long Entry
Short Entry
█ Settings
The indicator comes packed with various settings allowing customization:
Trade Direction
Decide the direction of the trade (long/short).
Reward multiplier
Sets the ratio for take profit relative to stop loss. Increasing this value will set your take profit further from the entry, and decreasing it will bring it closer.
Risk multiplier
Multiplier for calculating stop loss based on the ATR value. Increasing this makes your stop loss further from the entry, while decreasing brings it closer.
█ Related Free Scripts
Trade & Risk Management Tool
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Disclaimer
The 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!
Interactive MA Stop Loss [TANHEF]This indicator is "Interactive." Once added to the chart, you need to click the start point for the moving average stoploss. Dragging it afterward will modify its position.
Why choose this indicator over a traditional Moving Average?
To accurately determine that a wick has crossed a moving average, you must examine the moving average's range on that bar (blue area on this indicator) and ensure the wick fully traverses this area.
When the price moves away from a moving average, the average also shifts towards the price. This can make it look like the wick crossed the average, even if it didn't.
How is the moving average area calculated?
For each bar, the moving average calculation is standard, but when the current bar is involved, its high or low is used instead of the close. For precise results, simply setting the source in a typical moving average calculation to 'Low' or 'High' is not sufficient in calculating the moving average area on a current bar.
Moving Average Options:
Simple Moving Average
Exponential Moving Average
Relative Moving Average
Weighted Moving Average
Indicator Explanation
After adding indicator to chart, you must click on a location to begin an entry.
The moving average type can be set and length modified to adjust the stoploss. An optional profit target may be added.
A symbol is display when the stoploss and profit target are hit. If a position is create that is not valid, "Overlapping MA and Bar" is displayed.
Alerts
'Check' alerts to use within indicator settings (stop hit and/or profit target hit).
Select 'Create Alert'
Set the condition to 'Interactive MA''
Select create.
Alert messages can have additional details using these words in between two Curly (Brace) Brackets:
{{stop}} = MA stop-loss (price)
{{upper}} = Upper MA band (price)
{{lower}} = Lower MA band (price)
{{band}} = Lower or Upper stoploss (word)
{{type}} = Long or Short stop-loss (word)
{{stopdistance}} = Stoploss Distance (%)
{{targetdistance}} = Target Distance (%)
{{starttime}} = Start time of stoploss (day:hour:minute)
{{maLength}} = MA Length (input)
{{maType}} = MA Type (input)
{{target}} = Price target (price)
{{trigger}} = Wick or Close Trigger input (input)
{{ticker}} = Ticker of chart (word)
{{exchange}} = Exchange of chart (word)
{{description}} = Description of ticker (words)
{{close}} = Bar close (price)
{{open}} = Bar open (price)
{{high}} = Bar high (price)
{{low}} = Bar low (price)
{{hl2}} = Bar HL2 (price)
{{volume}} = Bar volume (value)
{{time}} = Current time (day:hour:minute)
{{interval}} = Chart timeframe
{{newline}} = New line for text
I will add further moving averages types in the future. If you suggestions post them below.
Moving Average Cross trade PLAbstract
This script evaluates the potential trading proceeding and loss of the moving average cross strategy and plot it as a chart.
We can use it as a reference to whether we follow the original trading signals or not.
Introduction
Moving average cross is a popular trading strategy.
The strategy suggests traders buy when the short term moving average is above the long term moving average and sell when the short term moving average is below the long term moving average.
However, just like the most technical indicators, the signals are not always accurate.
This problem causes traders don't have sufficient confidence to trade with these signals.
On the other hand, the natural risk management suggests us only invest after major risks are past.
Therefore, we wait until many counterexamples of trading signals are past.
What will happen if we imagine that following a specific trading signal is a fund?
We can evaluate the potential trading proceeding and loss and plot it as a chart.
And then, we can measure how much loss may encounter in many worst cases and regard it as a reference to whether we follow the original trading signals or not.
How it works
1. Determine the instruments and time frames we are interested in.
2. Determine the long term moving average and the short term moving average.
3. The strategy suggests traders buy when the short term moving average is above the long term moving average and sell when the short term moving average is below the long term moving average.
4. The potential trading proceeding and loss is plotted as a chart.
5. There are two colors in the chart. One is when the short term moving average is above the long term moving average and the other is when the short term moving average is below the long term moving average.
6. We can observe the local maximum and the local minimum or apply other indicators we are interested in on the numbers it provides.
Parameters
x_type1 = How to compute the short term moving average. The option diff means the price several days ago.
x_src1 = How to summarize the price of a trading day. It depends on the open, high, low or close prices.
x_ma1 = How many days included in the short term moving average. When it is 1, the signal becomes when the price is above or below a single moving average.
x_type2 = How to compute the long term moving average
x_src2 = How to summarize the price of a trading day. It depends on the open, high, low or close prices.
x_ma2 = How many days included in the long term moving average
Conclusion
This indicator can quantize the potential trading proceeding and loss and can imply when following the original trading signals is good or not.
Combining the instruments which are long term investible and use this indicator to avoid potential risks, we can make proceeding better than holding the major stock markets.
Equity Trade Risk ManagerEquity Trade Risk Manager is a simple indicator that helps you protect your portfolio by going into each trade risk first !
Equity Trade Risk Manager does this by calculating your ideal position size or ideal stop loss based on your account size, purchase price and risk tolerance. This ensures you are never risking more than your predetermined amount on each trade.
Unlike most position size calculators, that will only tell traders how many shares to purchase, Equity Trade Risk Manger allows the trader to choose whether they want to calculate the ideal number of shares to purchase or where to set the trades stop loss based on the number of shares owned. Not only that, but knowing traders need to act fast, the indicator also gives the option to quickly use the current price and low of the day as an entry and stop. Lastly, your stop loss will be plotted onto the chart for a visual aid.
Features:
Dynamic Risk Settings:
Account Customization: Input your account size to get metrics tailored to you.
Calculation Choices: Decide if you want the tool to calculate the number of shares you should buy or where to set your stop-loss.
Custom Risk Parameters: Use preset risk percentages or set your own to match your comfort level.
Price Point Flexibility:
Enter your entry and stop price or opt to use the current price and the low of the day.
Interactive Display Settings:
Customizable Interface: Adjust table positions, text size, and color schemes to match your trading dashboard aesthetic.
On-Chart Stop-Loss Indication: Visualize your stop loss on the chart itself.
Get a snapshot of your dollar risk, position size, shares to buy, and stop-loss.
TradePlannerTradePlanner is trade planning tool which helps to map out your trade plan by displaying an entry line, a stop line, and multiple target lines (up to 5 targets) right on the chart. Each line can be configured to display the distance from the entry in terms of both number of ticks as well as the profit/loss in currency terms. An on-screen table quantifies and summarizes the entire trade plan information plus it calculates and displays the maximum lot size given the specified amount of risk you want to take per trade, which is totally customizable, all of which takes the guesswork out of trade planning.
Trade size calculatorThis script will calculate recommended Trade Size based on your Risk appetite, Trading style and Current market volatility. Once you input “ RiskPerTrade ” amount, It automatically adjusts recommended Trade Size for changes in markets behavior. You have an option to select “ Long Term ”, “ Short Term ” & “ Intraday ” as your Trade Type. Your Rec Size (Trade Size) will be calculated and printed on you chart.
How it works:
It calculates recommended trade size using your accepted risk ( RiskPerTrade input) and instruments current average price range.
It uses different multipliers to adjust the trade size based on your Trade Type .
Intraday trades are assumed to be closed within the same trading session and therefore will have the highest recommended size.
Short Term trades assume the overnight risk added to the positions and recommend a lower size.
Long Term trades assume overnight & weekend risk added to the position and therefore recommend the smallest size.
Your Trade Size is the key to Risk Management. This Indicator is simple but powerful when used with a good Portfolio Management Strategy. Just add the indicator to your chart and configure its inputs as per your trade plan.
How to configure the Indicator
Input 1 - Add RiskPerTrade amount
Input 2 - Select your Trade Type
Input 3 - Add a negative number in BarsRight to position the label in the desired location of your screen.
Important Display Setting - “ BarsRight ” Input - If you CAN'T SEE the Yellow Label on the chart after you added the indicator, set this number to a large negative no. for example -200 and then adjust the number to get the label positioned where you would like. This happens due to various screen formats and resolutions.
Please note: This indicator is designed for Equities, Stocks or ETFs only. For users in markets not priced in US dollar, make sure your instrument’s price and your RiskPerTrade amount are in the same currency.
Risk Management GO8686: Stop Loss, Position Size & TargetFull Name: Risk Management GO8686: Stop Loss, Position Size & Target
What this indicator provides:
A dashboard to calculate Stop Loss, Position Size and Target, where users can customize Risk Management parameters in the setting.
Position Size: calculated from "initialCapital", "Leverage", "Max Loss", "feeMaker", "feeTaker".
Stop Loss Price: using pivots, default length is set to 3, with an extra ATR value controlled by "'Multiplier OF Extra ATR".
Target: calculated from entry price, risk reward, distance between entry and stop loss, fees
What the indicator does Not provides:
entries of positions: The Long/Short entries displayed are just MACD signal crossing zero, users can apply their own entry logic, by modifying ready2L / ready2S variables.
What the indicator does Not guarantee:
the integrity, timeliness, accuracy, and comprehensiveness of the data, calculation method, calculation results, etc.
Two types labels:
1. Automated labels: they are displayed when MACD signal crossing zero, use "Display History Labels" to toggle display or not.
2. Setup Manually label: located at the right side of the latest bar, to display results when users setup manually
The settings of the indicator:
"Toggle to Reload",
"InitialCapital", "Leverage", "Max Loss % per trade", "feeMaker", "feeTaker",
4 length inputs for Pivot, "Multiplier of Extra ATR for stop loss",
"Toggle To setup manually", "Toggle between Long / Short", "Entry Price, set manually", "Stop Loss Price, set manually", "Risk-Reward Ratio"
"Display History Labels"
---------- Disclaimer ----------
Before using or requesting access to the indicator, customers/users acknowledge that they have read and accepted that the indicator, any associated contents on all social medias and any communication with the indicator author, including but not limited to: product and service details, signals, alerts, data, calculation methods, calculation results, user manual, tutorials, ideas, videos, chats, messages, emails, blogs, tweets, etc. are provided solely for educational purpose and Not as financial advice. Customers/users understand and agree to use the aforementioned indicator and information at their own risk.
---------- Updates ----------
The latest updates override the previous content.
To activate a update, if it does not load as expected: close the indicator, save the chart, clear browser caches, restart the browser, reload the chart and apply the indicator to the chart.
Ta StrategyHello guys
This script follows traditional technical indicators
MACD, ADX, RSI and pivot points
If the price is above the resistance and the MACD has crossover ,and the RSI 14 is above 50
ADX is higher than 20, and DI+ is higher than DI-. This is a buy signal and vice versa for a sell signal
The script moves the stop loss to the entry price after the first target is reached
You can specify the quantity you want to sell when the price reaches the first target
There are also options like if you want the script to entry long or short, or both
you can reverse the strategy if it does not work well
If you want to inquire about any details, please let me know in the comments
(Simple) Lot Size CalculatorPip Calculator: A Guide for Traders
The Pip Calculator is a powerful tool designed to help traders calculate their lot size based on their account balance, risk percentage, and stop loss in pips. This guide will walk you through using the Pip Calculator script and explain its features.
Features of the Pip Calculator:
User-friendly UI : The Pip Calculator provides a simple and intuitive user interface, making it easy to input your account details and obtain the desired lot size.
Flexible Inputs : The Pip Calculator allows you to enter your account balance, risk percentage, and stop loss in pips. This flexibility enables you to customize the calculation according to your trading strategy.
Dynamic Currency Pair Support : The Pip Calculator supports various currency pairs and their respective pip values. The script automatically detects the currency pair of the chart you're viewing, ensuring accurate calculations.
Real-time Lot Size Display : The Pip Calculator instantly calculates and displays the lot size based on your inputs. The lot size is updated in real-time as you adjust your account balance, risk percentage, or stop loss.
Visual Representation : The Pip Calculator visually presents the calculated lot size on the chart, making it easy to understand and reference during your trading activities.
Using the Pip Calculator:
Install and Apply the Script : To use the Pip Calculator, install it as an extension on your preferred trading platform (such as TradingView). Apply the script to the chart of the desired currency pair.
Enter Account Details : In the script's user interface, enter your account balance, risk percentage, and stop loss in pips. These details are essential for accurate lot size calculation.
Review Currency Pair Support : The Pip Calculator automatically detects the currency pair of the chart. Ensure that the currency pair is supported by checking the "Currency pair not supported" message. Currently, GBPJPY is the supported pair.
Observe Real-time Lot Size : Once you've entered the required information, the script will calculate and display the lot size in real-time. The lot size is adjusted automatically as you modify your inputs.
Visualize the Lot Size : The calculated lot size is displayed on the chart as a label. You can easily view and reference the lot size while analyzing price movements.
Customize the UI : The Pip Calculator allows you to customize the appearance of the lot size label. You can adjust the text color, background color, and choose whether to show or hide the lot size label.
Note: The Pip Calculator script is intended as a tool to assist traders in determining an appropriate lot size based on their account balance, risk percentage, and stop loss. It should be used in conjunction with a comprehensive trading strategy and risk management principles.
Advantages of the Pip Calculator:
Accuracy: The Pip Calculator incorporates accurate pip values for supported currency pairs, ensuring precise lot size calculations.
Simplicity: The user-friendly interface and intuitive design make it easy for traders to calculate their lot size without complex calculations or manual estimations.
Real-time Updates: The Pip Calculator provides instant lot size updates, allowing traders to adapt their position sizing based on changes in account balance, risk percentage, or stop loss.
Visibility: The visual representation of the lot size on the chart helps traders quickly identify their desired position size and monitor it during trading activities.
The Pip Calculator offers a convenient and efficient way to determine lot sizes based on your trading parameters. By using this tool, you can enhance your risk management practices, maintain consistency, and stay aligned with your trading plan.
Disclaimer: The Pip Calculator script is provided for informational purposes only and should not be considered as financial advice. Trading in the financial markets carries inherent risks, and it is essential to perform your own analysis and consult with a qualified financial advisor before making any investment decisions.
Crypto Risk CalculatorCrypto Risk Calculator 's logical is bring the differential between Entry price and Stoploss price, your acceptable risk and your account size to calculate the loss size first then convert to the 'Amount coins' and have another feature like auto scale static target calculate by your loss size with RRR (Risk Reward Ratio). Give you to get easier to manage your orders. *** Create to use for Cryptocurrencies Future market ***
Key Features:
📈 Real-time Risk Assessment: Enter the amount you are willing to risk, and Crypto Risk Calculator will calculate the appropriate position size for your futures trade in real-time.
🎯 Target Lines and Static Target Prices based on RRR: Set your desired Risk-Reward Ratio (RRR), and let Crypto Risk Calculator auto-generate target prices according to your RRR. Additionally, place target lines to visualize the expected profit if the price hits that line.
⚙️ Customizable Parameters: Adjust risk percentage, RRR, and other parameters to tailor the tool to your trading strategy.
👁️ User-Friendly Interface: Crypto Risk Calculator features an easy-to-use and intuitive interface for both beginners and seasoned traders.
Usage:
Step 1: Place your entry price
Step 2: Place your stop loss price
Step 3: Place your target price
Step 4: Confirm your account detail
Step 5: Bring the 'Amount coins' to use
Parameter:
Initial account size
Risk percent
Leverage
Entry price
Stop price
Target price
Show your target price
Show static target prices
Number of your static target prices
Table position
Text size
Background color
Text color
Border color
Data output:
Chart
Entry price line
Stop loss price line (loss in base unit currency)
Target price line (profit in base unit currency)
Table
Account size
Risk percent
Leverage
Margin
Entry price
Stoploss price
Amounts coin
Fibonacci Levels on Any Indicator [By MUQWISHI]▋ INTRODUCTION :
A “Fibonacci Levels on Any Indicator” can be applied to any indicator to draw Fibonacci levels based on provided conditions of two price points to produce a sequence of horizontal line levels starting from 0% to 100% in addition to extension levels. The 0% level is measured as the start of retracement, while the 100% level is the beginning of the extension levels. This tool was developed to be easy to add to any indicator, and it could be valuable to some traders in terms of managing trades by setting targets and reducing risk in the trend direction.
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▋ USAGE:
➤ NEEDS TO IDENTIFY 4 ELEMENTS:
1. Starting Point. What’re the conditions / When will the drawing of the Fibonacci levels begin?
2. Ending Point. What’re the conditions / When will the drawing of the Fibonacci levels end?
3. High Point. What is the price for a 100% Fibonacci level (0% for the downside)?
4. Low Point. What is the price for a 0% Fibonacci level (100% for the downside)?
➤ STARTING & ENDING POINTS CONDITIONS:
Need to specify the condition when the drawing of Fibonacci levels starts and ends, and the indicator shows different prepared conditions.
New Phase: Import a value (plot) from an existing indicator, where its status changes from NaN to a real number.
Crosses Above/Below: Import a value(1) (plot) from an existing indicator, where it crosses above/below value(2).
Reversal Up/Down: Import a value(1) (plot) from an existing indicator, where it rises/decreases than the previous value(1).
First/Last Bar: Useful to draw stationary Fibonacci levels.
➤ UPPER & LOWER PIVOTS (0% & 100%):
Need to specify the two price points representing 0% & 100% Fibonacci levels to expose the sequence of Fibonacci lines.
Upper Pivot. By default, the ATR Upper Band. It’s possible to import a custom value from an existing indicator.
Lower Pivot. By default, the ATR Lower Band. It’s possible to import a custom value from an existing indicator.
➤ FIBONACCI STYLING OPTIONS:
Ability to customize line & label style, color, reverse, and hide/show levels.
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▋ IMPLEMENTATION:
Here are some examples of implementing the indicator.
Note: All presented examples below are for demonstration purposes, and they're not trading suggestions.
＃ Example 1: (Reversal Up/Down)
We want to implement Fibonacci levels on the Hull MA by mohamed982 . Our requirements are as follows:
Fibonacci levels start when the Hull MA reverses up.
Fibonacci levels end when the Hull MA reverses down.
Upper Pivot is the ATR Upper Band.
Lower Pivot is the ATR Lower Band.
After adding the required indicator (Hull MA), here’re the implementation and results
＃ Example 2: (Crosses Above/Below)
We want to implement Fibonacci Level on the Squeeze Momentum by LazyBear . Our requirements are as follows:
Fibonacci levels start when the Squeeze Momentum histogram crosses above 0.
Fibonacci levels end when the Squeeze Momentum histogram crosses below 0.
Upper Pivot is the Bollinger Upper Band.
Lower Pivot is the Bollinger Lower Band.
After adding the required indicators (Squeeze Momentum & Bollinger Band), here’re the implementation and results
＃ Example 3: (Crosses Above/Below)
We want to implement Fibonacci Level on the Crossing Moving Averages. Our requirements are as follows:
Fibonacci levels start when the 20-EMA crosses above 100-MA.
Fibonacci levels end when the 20-EMA crosses below 100-MA.
Upper Pivot is the ATR Upper Band.
Lower Pivot is the ATR Lower Band.
After adding the required indicators (20-EMA & 100-MA), here’re the implementation and results
＃ Example 4: (New Phase: When the previous value is NaN, and the current value is a real number.)
We want to implement Fibonacci Level on the Supertrend. Our requirements are as follows:
Fibonacci levels start when an up-Supertrend (green) line shows up.
Fibonacci levels end when a down-Supertrend (red) line shows up.
Upper Pivot is the down-Supertrend.
Lower Pivot is the up-Supertrend.
After adding the required indicator (Supertrend), here’re the implementation and results
＃ Example 5: (First/Last Bar)
We want to implement Fibonacci Level between two points, 330 & 300. Our requirements are as follows:
Fibonacci levels start at first bar on the chart.
Fibonacci levels end at last bar on the chart.
Upper Pivot is 330.
Lower Pivot is 300.
Here’re the implementation and results.
To customize the number of bars back (like 50 bars)
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▋ Final Comments:
The “Fibonacci Levels on Any Indicator” is made to apply on other indicators for planning Fibonacci Levels.
It can be implemented in different ways, along with presented examples.
This indicator does not work with plots that were developed by drawing classes.
Please let me know if you have any questions.
Thank you.
Take profit and Stop Loss ATR HL [Tcs] | ALGOThis indicator helps traders set stop loss and take profit levels based on either ATR or High-Low range.
The indicator calculates stop loss and take profit levels for both long and short positions, based on the user's input of ATR length, ATR smoothing method, and multiplier levels for each level. It’s possible to set 3 levels of take profit, for both long and short trades.
The indicator also includes the option to show or hide levels, bands, and labels for the calculated stop loss and take profit levels.
Additionally, the indicator has a function to calculate the user's risk based on their account balance, risk percentage, and broker fees.
Overall, this indicator can be helpful for traders who use stop loss and take profit levels in their trading strategies and want a visual representation of those levels on their charts.
Please note that this indicator is for educational purposes only and should not be used for trading without further testing and analysis.
SwingConfidence ScoreSwingConfidence is a scoring system that helps us quantitatively manage risk & position size in swing trading.
SwingConfidence uses T3 moving average to determine the swing state in which the instrument is in. So, this is supposed to be used with my previously posted Simple Swing with T3MA indicator . The T3MA ribbon consists of a fast and a slow moving average (MA). The ribbon is green when the fast MA is above the slow MA. This green ribbon represents the upswing. Similarly, the red ribbon represents the downswing.
The score takes into account the swing state of 2 chosen benchmark indices (by default, these are NIFTY & CNXSMALLCAP). It has 2 components:
- Weekly Swing
- Daily Swing
Weekly Swing
The script uses the Simple Swing indicator on weekly charts of of 2 benchmark indices to determine whether the index is in a weekly upswing or downswing.
- If the color of the weekly ribbon is green, we are in a weekly Upswing.
- If the color of the weekly ribbon is red, we are in a weekly Downswing.
Daily Swing
The script uses the Simple Swing indicator on daily charts of 2 benchmark indices to determine the daily swing state. There can be any one of total 6 swing states on a daily chart:
- Early Upswing (close above red ribbon)
- Confirmed upswing (green ribbon)
- Upswing under strain (close inside green ribbon)
- Early Downswing (close below green ribbon)
- Confirmed downswing (red ribbon)
- Downswing under strain (close inside red ribbon)
SwingConfidence Scoring
The script prints the Weekly & Daily Swing states, & assigns a score to each index from 0 to 50, where 0 is the most bearish score, & 50 is the most bullish score. The sum of the scores is the final SwingConfidence score. e.g. If both indices are in a confirmed upswing, then the score reads 50 + 50 = 100.
How to use the SwingConfidence score?
There are multiple ways by which we can use the SwingConfidence score:
- If the SwingConfidence value is 100%, then we can go in with the maximum open risk our strategy allows. As the score starts decreasing, we keep on closing/modifying our positions, so as to keep the open risk proportionately down. Once the score reaches to zero, we must not be having any open risk. We can achieve this by either going in all-cash, or bringing the stop losses to breakeven.
- Another way is to use this is via a progressive exposure method. If the SwingConfidence value is 100%, then we go with full position size (e.g. 1% capital-at-risk). If the value is 0%, we sit out in cash. Between these 2 extremes, we reduce/increase our position size accordingly.
Please note that this script will display only on the daily timeframe.
