Liquidations Zones [ChartPrime]The Liquidation Zones indicator is designed to detect potential liquidation zones based on common leverage levels such as 10x, 25x, 50x, and 100x. By calculating percentage distances from recent pivot points, the indicator shows where leveraged positions are most likely to get liquidated. It also tracks buy and sell volumes in these zones, helping traders assess market pressure and predict liquidation scenarios. Additionally, the indicator features a heat map mode to highlight areas where orders and stop-losses might be clustered.
⯁ KEY FEATURES AND HOW TO USE
⯌ Leverage Zones Detection :
The indicator identifies zones where positions with leverage ratios of 100x, 50x, 25x, and 10x are at risk of liquidation. These zones are based on percentage moves from recent pivots: a 1% move can liquidate 100x positions, a 4% move affects 25x positions, and so on.
⯌ Liquidated Zones and Volume Tracking :
The indicator displays liquidated zones by plotting gray areas where the price potentually liquidate positons. It calculates the volume needed to liquidate positions in these zones, showing volume from bullish candles if short positions were liquidated and volume from bearish candles for long positions. This feature helps traders assess the risk of liquidation as the price approaches these zones.
⯌ Buy/Sell Volume Calculation :
Buy and sell volumes are calculated from the most recent pivot high or low. For buy volume, only bullish candles are considered, while for sell volume, only bearish candles are summed. This data helps traders gauge the strength of potential liquidation in different zones.
Example of buy and sell volume tracking in active zones:
⯌ Liquidity Heat Map :
In heat map mode, the indicator visualizes potential liquidity areas where orders and stop-losses may be clustered. This map highlights zones that are likely to experience liquidations based on leverage ratios. Additionally, it tracks the highest and lowest price levels for the past 100 bars, while also displaying buy and sell volumes. This feature is useful for predicting market moves driven by liquidation events.
⯁ USER INPUTS
Length : Determines the number of bars used to calculate pivots for liquidation zones.
Extend : Controls how far the liquidation zones are extended on the chart.
Leverage Options : Toggle options to display zones for different leverage levels: 10x, 25x, 50x, and 100x.
Display Heat Map : Enables or disables the liquidity heat map feature.
⯁ CONCLUSION
The Liquidation Zones indicator provides a powerful tool for identifying potential liquidation zones, tracking volume pressure, and visualizing liquidity areas on the chart. With its real-time updates and multiple features, this indicator offers valuable insights for managing risk and anticipating market moves driven by leveraged positions.
Indikatoren und Strategien
Zero Lag MA For loop | RocheurIntroducing Rocheur's Zero-Lag Moving Average For Loop (ZLMAFL)
The Zero-Lag Moving Average For Loop (ZLMAFL) is an advanced trading indicator designed to provide traders with an edge in identifying trends and reversals with greater precision. By combining the power of the Zero-Lag Exponential Moving Average ( ZLEMA ) with a for-loop scoring mechanism, this tool offers a refined approach to tracking market movements.
Understanding the Zero-Lag Exponential Moving Average ( ZLEMA )
The Zero-Lag Exponential Moving Average ( ZLEMA ) is a sophisticated moving average developed by John Ehlers in his 2001 book, "Rocket Science for Traders." Unlike traditional moving averages that introduce a lag in their calculations, ZLEMA aims to eliminate this lag, providing a more accurate representation of price movements. By filtering out short-term fluctuations, ZLEMA offers a clearer view of the market’s true direction.
ZLEMA is particularly effective for detecting trends in fast-moving markets and helps traders respond more quickly to changing conditions. Its ability to reduce lag makes it a valuable tool for generating signals with greater accuracy.
Calculation Logic: For-Loop Scoring Mechanism
The For Loop Scoring mechanism compares the magnitude of each ZLEMA value in the series and sums the results to generate a score. This score forms the backbone of the signal generation system:
Long Signals: Generated when the score surpasses the defined long threshold (default set at 40). This indicates a strong bullish trend, signaling potential upward momentum.
Short Signals: Triggered when the score crosses under the short threshold (default set at -10). This suggests a bearish trend or potential downside risk.
Visual Representation
To provide traders with an intuitive understanding of the market’s current condition, the ZLMAFL uses a color-coded bar system:
Green Bars: Represent a bullish trend, indicating a potential buy signal. When the score exceeds the long threshold, the bars turn green, signaling strong upward momentum.
Red Bars: Indicate a bearish trend, suggesting a sell signal. When the score falls below the short threshold, the bars turn red, highlighting potential downside risk.
This visual representation allows traders to quickly assess market conditions at a glance, aiding in faster decision-making.
Thresholds & Customization
To adapt to different trading strategies and preferences, the ZLMAFL offers customizable settings:
Length: Defaulted to 7 periods, this controls the calculation window for ZLEMA .
Long/Short Thresholds: Traders can fine-tune sensitivity to market conditions.
Visualization Options: The indicator provides various visual aids, including color-coded bars and background shading to clarify trend direction.
Trading Applications
The ZLMAFL is versatile and suited to various market conditions:
Trend Following: The scoring mechanism helps confirm trends and minimize false signals.
Risk Management: Clearly defined signals assist in position management, helping traders reduce risk and improve entry and exit precision.
Final Note
Integrating the ZLMAFL into your trading strategy can enhance your ability to detect trends and make more informed decisions. Always backtest thoroughly and adjust the parameters to suit your trading style. As with any tool, past performance does not guarantee future success, but the ZLEMA ’s reduced lag and the for-loop scoring mechanism offer a potent combination for modern traders.
Default settings:
Length: 7
a: 1
b: 75
DYNAMIC USD MOMENTUM INDICATOR
Hello traders,
Welcome to my script, an indicator helping you to quickly see the performance of USD in constant daily comparison to other currencies.
This script requests price data from other charts but displays overbought and oversold labels on any selected chart currency pair.
See attached images to spot high probability reversal days when USD is in extremes against multiple other currencies. The output labels represent the currency traded against USD and reaching overbought and oversold zoned on a dynamic RSI scale.
Suggested pairs with higher co relation to stronger or weaker dollar:
AUD/USD, CAD/USD, EUR/USD, GBP/USD, NZD/USD
CHF/USD and JPY/USD require more in depth analysis of individual performance of JPY AND CHF
Ehlers Loops [BigBeluga]The Ehlers Loops indicator is based on the concepts developed by John F. Ehlers, which provide a visual representation of the relationship between price and volume dynamics. This tool helps traders predict future market movements by observing how price and volume data interact within four distinct quadrants of the loop, each representing different combinations of price and volume directions. The unique structure of this indicator provides insights into the strength and direction of market trends, offering a clearer perspective on price behavior relative to volume.
🔵 KEY FEATURES & USAGE
● Four Price-Volume Quadrants:
The Ehlers Loops chart consists of four quadrants:
+Price & +Volume (top-right) – Typically indicates a bullish continuation in the market.
-Price & +Volume (bottom-right) – Generally shows a bearish continuation.
+Price & -Volume (top-left) – Typically indicates an exhaustion of demand with a potential reversal.
-Price & -Volume (bottom-left) – Indicates exhaustion of supply and near trend reversal.
By watching how symbols move through these quadrants over time, traders can assess shifts in momentum and volume flow.
● Price and Volume Scaling in Standard Deviations:
Both price and volume data are individually filtered using HighPass and SuperSmoother filters, which transform them into band-limited signals with zero mean. This scaling allows traders to view data in terms of its deviation from the average, making it easier to spot abnormal movements or trends in both price and volume.
● Loops Trajectories with Tails:
The loops draw a trail of price and volume dynamics over time, allowing traders to observe historical price-volume interactions and predict future movements based on the curvature and direction of the rotation.
● Price & Volume Histograms:
On the right side of the chart, histograms for each symbol provide a summary of the most recent price and volume values. These histograms allow traders to easily compare the strength and direction of multiple assets and evaluate market conditions at a glance.
● Flexible Symbol Display & Customization:
Traders can select up to five different symbols to be displayed within the Ehlers Loops. The settings also allow customization of symbol size, colors, and visibility of the histograms. Additionally, traders can adjust the LPPeriod and HPPeriod to change the smoothness and lag of the loops, with a shorter LPPeriod offering more responsiveness and a longer HPPeriod emphasizing longer-term trends.
🔵 USAGE
🔵 SETTINGS
Low pass Period: default is 10 to
obtain minimum lag with just a little smoothing.
High pass Period: default is 125 (half of the year if Daily timeframe) to capture the longer term moves.
🔵 CONCLUSION
The Ehlers Loops indicator offers a visually rich and highly customizable way to observe price and volume dynamics across multiple assets. By using band-limited signals and scaling data into standard deviations, traders gain a powerful tool for identifying market trends and predicting future movements. Whether you're tracking short-term fluctuations or long-term trends, Ehlers Loops can help you stay ahead of the market by offering key insights into the relationship between price and volume.
UTC Discipline TradingReminder for Disciplined Trading:
1.Trend Trading – We only open positions in the direction of the trend to take advantage of market momentum.
2.SMC Zones – We trade only within zones defined by the Smart Money Concept (SMC) indicator, identifying key market points.
3.Risk 0.5% – Each position carries a maximum risk of 0.5% of total capital, minimizing potential losses and maintaining risk control.
4.3RR – Every trade must have a risk-to-reward ratio (RR) of 3:1, meaning the potential reward should be three times greater than the risk.
5.DDD -1.5% – When the daily loss reaches -1.5%, trading for the day is closed to avoid further losses.
6.DW 2+% – When daily profit reaches 2%, trading for the day ends. However, if profit exceeds 2%, you may risk an additional amount, and in case of a loss, the day will close with at least 2% profit.
Zone Color PatternZone Color Pattern indicator depicts the color pattern of zones on chart. This will help the user to identify the zones on Chart.
Green Zone is indicated by Green color.
Red Zone is indicated by Red Color.
Gray Zone is indicated by Gray Zone.
Zone Color Pattern indicator is based on 3 moving averages. Long term, Medium term and Short Term.By default they are 200, 50 and 20.
When you are on long term trend the position of MAs is 20 MA is on top,then comes 50 MA and 200 MA is positioned below 50 MA.The position of respective MAs change during down trend.
The color patterns display the distance between different MAs .The widening and contraction of space between different Moving Averages indicate the movement and direction of price.
Basically price tend to move in and move away from Average. This action tend to create a space between price and MAs.Color patterns between price and MAs reflect the gap between the price and M|As .All these effects can be visualized on chart in relevant colors to infer the status of price, movement, cross over by the User.
Buy trades are preferred when close is in Green Zone and price is above MA20.
Sell trades are preferred when close is in Red Zone and price is below MA20
Trades may be avoided when close is in Gray Zone.
Long Up Trend and Down Trend respective color triangle shapes and arrows on chart indicate the trends and direction.
The chart understanding has to be supplemented with other regular indicators along with appropriate risk reward techniques by user.
Table indicate difference between Last Price traded and Day open price.
Other columns in table display the position of close in different Zones.
DISCLAIMER: For educational and entertainment purpose only .Nothing in this content should be interpreted as financial advice or a recommendation to buy or sell any sort of security/ies or investment/s.
Japan Stock Market Indices Performance TableYou can display the performance of the Nikkei 225 Futures and major indices of the Japanese stock market for the day in a table format on your chart.
The 5-Minute Change Rate shows the change from the opening price of the most recent 5-minute candlestick.
The Daily Change Rate displays the change from the opening price at 09:00 GMT+9 on the current trading day.
Since the Japanese stock market opens at 09:00 GMT+9 , the values for Nikkei 225 Futures, USD/JPY, and EUR/JPY are also calculated based on their opening prices at that time. This script was created because, while brokerage apps allow you to see the comparison to the previous day's close for each index, they do not display the rate of change from the current day's opening price.
Notes:
All values are reset each trading day at 09:00 GMT+9.
If you have not purchased real-time market data from the Tokyo Stock Exchange and Osaka Exchange, data may be delayed by 20 minutes and may not display correctly.
The Tokyo Stock Exchange sector indices are distributed in real-time at 15-second intervals from the TSE, so this script aligns with that timing.
当日の日経225先物と日本株式市場の主要指数のパフォーマンスを表形式でチャート上に表示することができます。
5分変化率は直近の5分足の始値からの変化率、当日変化率は当日09:00の始値からの変化率を表示しています。
日本株式市場が開くのが GMT+9 09:00 のため、それに合わせて日経225先物、ドル円、ユーロ円も GMT+9 09:00 時点の始値を元に各値を算出しています。
各指数の前日比は証券会社のアプリで見れるものの、当日始値からの変化率が見れないため作成しました。
補足
各営業日の朝（GMT+9 09:00）に各値はリセットされます。
Tokyo Stock ExchangeとOsaka Exchangeのreal-time market dataを購入していない場合、データが20分遅れになるため正常に表示されない可能性があります。
東証業種別株価指数は東証から配信されるのが15秒間隔でのリアルタイムになるため、このスクリプトもそれに準ずる形となっています。
XAUUSD Multi-Timeframe Trend AnalyzerOverview
The "XAUUSD Multi-Timeframe Trend Analyzer" is an advanced script designed to provide a comprehensive analysis of the XAUUSD (Gold/US Dollar) trend across multiple timeframes simultaneously. By combining several key technical indicators, this tool helps traders quickly assess the market direction and trend strength for M15, M30, H1, H4, and D1 timeframes.
Multi-Timeframe Analysis: Displays the trend direction and strength across M15, M30, H1, H4, and D1 timeframes, allowing for a complete overview in a single glance.
Comprehensive Indicator Blend: Utilizes six popular technical indicators to determine the trend—Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR.
Trend Strength Scoring: Provides a numerical trend strength score (from -6 to 6) based on the alignment of the indicators, with positive values indicating uptrends and negative values for downtrends.
Visual Table Display: Displays results in a color-coded table (green for uptrend, red for downtrend, yellow for neutral) with a strength score for each timeframe, helping traders quickly assess market conditions.
How It Works
This script calculates the overall trend and its strength for each selected timeframe by analyzing six widely-used technical indicators:
Moving Averages (MA): The script uses a Fast and a Slow Moving Average. When the Fast MA crosses above the Slow MA, it indicates an uptrend. When the Fast MA crosses below, it signals a downtrend.
Relative Strength Index (RSI): The RSI is used to assess momentum. An RSI value above 50 suggests bullish momentum, while a value below 50 suggests bearish momentum.
Moving Average Convergence Divergence (MACD): MACD measures momentum and trend direction. When the MACD line crosses above the signal line, it signals bullish momentum; when it crosses below, it signals bearish momentum.
Bollinger Bands: These measure price volatility. When the price is above the middle Bollinger Band, the script considers the trend to be bullish, and when it's below, bearish.
Directional Movement Index (DMI): The DMI compares positive directional movement (DI+) and negative directional movement (DI-). A stronger DI+ over DI- signals an uptrend and vice versa.
Parabolic SAR: This indicator is used for determining potential trend reversals and setting stop-loss levels. If the price is above the Parabolic SAR, it indicates an uptrend, and if below, a downtrend.
Trend Strength Calculation
The script calculates a trend strength score for each timeframe:
Each indicator adds or subtracts 1 to the score based on whether it aligns with an uptrend or a downtrend.
A score of 6 indicates a Strong Uptrend, with all indicators aligned bullishly.
A score of -6 indicates a Strong Downtrend, with all indicators aligned bearishly.
Intermediate scores (e.g., 2 or -2) indicate Weak Uptrend or Weak Downtrend, suggesting that not all indicators are in agreement.
A score between 1 and -1 indicates a Neutral trend, suggesting uncertainty in the market.
How to Use
Assess Trend Direction and Strength: The table provides an easy-to-read summary of the trend and its strength on different timeframes. Look for timeframes where the strength is high (either 6 for a strong uptrend or -6 for a strong downtrend) to confirm the market’s overall direction.
Use in Conjunction with Other Strategies: This indicator is designed to provide a comprehensive view of the market. Traders should combine it with other strategies, such as price action analysis or candlestick patterns, to further confirm their trades.
Trend Reversal or Continuation: A weak trend (e.g., a strength of 2 or -2) could signal a possible reversal or a trend that has lost momentum. Strong trends (with a strength of 6 or -6) indicate higher confidence in trend continuation.
Multiple Timeframe Confirmation: Look for alignment across multiple timeframes to confirm the strength and direction of the trend before entering trades. For example, if M15, M30, and H1 are all showing a strong uptrend, it suggests a higher probability of the trend continuing.
Customization Options
- Adjustable Indicators: Users can modify the length and parameters of the Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR to suit their trading style.
- Flexible Timeframes: You can toggle between different timeframes (M15, M30, H1, H4, D1) to focus on the intervals most relevant to your strategy.
Ideal For
- Traders looking for a detailed, multi-timeframe trend analysis tool for XAUUSD.
- Traders who rely on trend-following strategies and need confirmation across multiple timeframes.
- Those who prefer a multi-indicator approach to avoid false signals and improve the accuracy of their trades.
Disclaimer
This indicator is for informational and educational purposes only. It is recommended to combine this with proper risk management strategies and your own analysis. Past performance does not guarantee future results. Always perform your own due diligence before making trading decisions.
STANDARD DEVIATION INDICATOR BY WISE TRADERWISE TRADER STANDARD DEVIATION SETUP: The Ultimate Volatility and Trend Analysis Tool
Unlock the power of STANDARD DEVIATIONS like never before with the this indicator, a versatile and comprehensive tool designed for traders who seek deeper insights into market volatility, trend strength, and price action. This advanced indicator simultaneously plots three sets of customizable Deviations, each with unique settings for moving average types, standard deviations, and periods. Whether you’re a swing trader, day trader, or long-term investor, the STANDARD DEVIATION indicator provides a dynamic way to spot potential reversals, breakouts, and trend-following opportunities.
Key Features:
STANDARD DEVIATIONS Configuration : Monitor three different Bollinger Bands at the same time, allowing for multi-timeframe analysis within a single chart.
Customizable Moving Average Types: Choose from SMA, EMA, SMMA (RMA), WMA, and VWMA to calculate the basis of each band according to your preferred method.
Dynamic Standard Deviations: Set different standard deviation multipliers for each band to fine-tune sensitivity for various market conditions.
Visual Clarity: Color-coded bands with adjustable thicknesses provide a clear view of upper and lower boundaries, along with fill backgrounds to highlight price ranges effectively.
Enhanced Trend Detection: Identify potential trend continuation, consolidation, or reversal zones based on the position and interaction of price with the three bands.
Offset Adjustment: Shift the bands forward or backward to analyze future or past price movements more effectively.
Why Use Triple STANDARD DEVIATIONS ?
STANDARD DEVIATIONS are a popular choice among traders for measuring volatility and anticipating potential price movements. This indicator takes STANDARD DEVIATIONS to the next level by allowing you to customize and analyze three distinct bands simultaneously, providing an unparalleled view of market dynamics. Use it to:
Spot Volatility Expansion and Contraction: Track periods of high and low volatility as prices move toward or away from the bands.
Identify Overbought or Oversold Conditions: Monitor when prices reach extreme levels compared to historical volatility to gauge potential reversal points.
Validate Breakouts: Confirm the strength of a breakout when prices move beyond the outer bands.
Optimize Risk Management: Enhance your strategy's risk-reward ratio by dynamically adjusting stop-loss and take-profit levels based on band positions.
Ideal For:
Forex, Stocks, Cryptocurrencies, and Commodities Traders looking to enhance their technical analysis.
Scalpers and Day Traders who need rapid insights into market conditions.
Swing Traders and Long-Term Investors seeking to confirm entry and exit points.
Trend Followers and Mean Reversion Traders interested in combining both strategies for maximum profitability.
Harness the full potential of STANDARD DEVIATIONS with this multi-dimensional approach. The "STANDARD DEVIATIONS " indicator by WISE TRADER will become an essential part of your trading arsenal, helping you make more informed decisions, reduce risks, and seize profitable opportunities.
Who is WISE TRADER ?
Wise Trader is a highly skilled trader who launched his channel in 2020 during the COVID-19 pandemic, quickly building a loyal following. With thousands of paid subscribed members and over 70,000 YouTube subscribers, Wise Trader has become a trusted authority in the trading world. He is known for his ability to navigate significant events, such as the Indian elections and stock market crashes, providing his audience with valuable insights into market movements and volatility. With a deep understanding of macroeconomics and its correlation to global stock markets, Wise Trader shares informed strategies that help traders make better decisions. His content covers technical analysis, trading setups, economic indicators, and market trends, offering a comprehensive approach to understanding financial markets. The channel serves as a go-to resource for traders who want to enhance their skills and stay informed about key market developments.
Distance between EMA 50-100/100-150This script calculates and plots the percentage difference between the 50-period, 100-period, and 150-period Exponential Moving Averages (EMA) on a TradingView chart. The aim is to provide a clear visual representation of the market's momentum by analyzing the distance between key EMAs over time.
Key features of this script:
1. EMA Calculation : The script computes the EMA values for 50, 100, and 150 periods and calculates the percentage difference between EMA 50 and 100, and between EMA 100 and 150.
2. Custom Threshold : Users can adjust a threshold percentage to highlight significant divergences between the EMAs. A default threshold is set to 0.1%.
3. Visual Alerts : When the percentage difference exceeds the threshold, a visual marker appears on the chart:
Green Circles for bullish momentum (positive divergence),
Red Circles for bearish momentum (negative divergence),
Diamonds to indicate the first occurrence of new bullish or bearish signals, allowing users to catch fresh market trends.
4. Dynamic Plotting : The script plots two lines representing the percentage difference for each EMA pair, offering a quick and intuitive way to monitor trends.
Ideal for traders looking to gauge market direction using the relationship between multiple EMAs, this script simplifies analysis by focusing on key moving average interactions.
Multi RSIDynamically display RSIs for current timeframe, 1 min, 5 min, 15 min, 30 min, 1 hour, 4 hour, 1 day, 1 week, and 1 month timeframes.
Lower timeframe RSIs that are too far below the current timeframe will be automatically hidden. E.g., 1 min RSI isn't displayed above 5 minute timeframe and 5 min RSI isn't displayed above 15 minute timeframe.
If RSI for current timeframe is enabled, it will be hidden if the current timeframe is 1 min, 5 min, 15 min, 30 min, 1 hour, 4 hour, 1 day, 1 week, or 1 month and the RSI for that timeframe is already shown.
Can display divergences and moving average if there is an RSI shown that is the same timeframe as the chart timeframe.
Can enable alerts for when RSI(s) are very overbought (greater than or equal to 80), overbought (greater than or equal to 70), oversold (less than or equal to 30), and very oversold (less than or equal to 20).
Hide Days"Hide Days" Pine Script Indicator
The "Hide Days" indicator is designed to make specific days of the week less visible by altering the candle colors, making them blend into the background. This can help traders focus on specific trading days by hiding unwanted candles from view.
Features:
Selectable Days: Users can choose which days of the week to hide (Sunday through Saturday).
Dark Mode Toggle: A built-in "Dark Mode" option provides an optimized display based on the user's TradingView theme, setting hidden candles to a nearly invisible color that matches the background.
Dark Mode ON: Candles are set to dark gray (#151924).
Dark Mode OFF: Candles are set to white (#ffffff).
Simple Inputs: The indicator provides checkboxes for each day, making customization quick and easy.
Enhanced Focus: Useful for traders who want to focus on specific trading sessions or eliminate less relevant days from their chart view.
Use Cases:
Hide weekend data on charts to focus on weekdays.
Remove non-trading days to analyze market movements more effectively.
Adjust the indicator to blend with either dark or light chart themes.
RSI Weighted Trend System I [InvestorUnknown]The RSI Weighted Trend System I is an experimental indicator designed to combine both slow-moving trend indicators for stable trend identification and fast-moving indicators to capture potential major turning points in the market. The novelty of this system lies in the dynamic weighting mechanism, where fast indicators receive weight based on the current Relative Strength Index (RSI) value, thus providing a flexible tool for traders seeking to adapt their strategies to varying market conditions.
Dynamic RSI-Based Weighting System
The core of the indicator is the dynamic weighting of fast indicators based on the value of the RSI. In essence, the higher the absolute value of the RSI (whether positive or negative), the higher the weight assigned to the fast indicators. This enables the system to capture rapid price movements around potential turning points.
Users can choose between a threshold-based or continuous weight system:
Threshold-Based Weighting: Fast indicators are activated only when the absolute RSI value exceeds a user-defined threshold. Below this threshold, fast indicators receive no weight.
Continuous Weighting: By setting the weight threshold to zero, the fast indicators always receive some weight, although this can result in more false signals in ranging markets.
// Calculate weight for Fast Indicators based on RSI (Slow Indicator weight is kept to 1 for simplicity)
f_RSI_Weight_System(series float rsi, simple float weight_thre) =>
float fast_weight = na
float slow_weight = na
if weight_thre > 0
if math.abs(rsi) <= weight_thre
fast_weight := 0
slow_weight := 1
else
fast_weight := 0 + math.sqrt(math.abs(rsi))
slow_weight := 1
else
fast_weight := 0 + math.sqrt(math.abs(rsi))
slow_weight := 1
Slow and Fast Indicators
Slow Indicators are designed to identify stable trends, remaining constant in weight. These include:
DMI (Directional Movement Index) For Loop
CCI (Commodity Channel Index) For Loop
Aroon For Loop
Fast Indicators are more responsive and designed to spot rapid trend shifts:
ZLEMA (Zero-Lag Exponential Moving Average) For Loop
IIRF (Infinite Impulse Response Filter) For Loop
Each of these indicators is calculated using a for-loop method to generate a moving average, which captures the trend of a given length range.
RSI Normalization
To facilitate the weighting system, the RSI is normalized from its usual 0-100 range to a -1 to 1 range. This allows for easy scaling when calculating weights and helps the system adjust to rapidly changing market conditions.
// Normalize RSI (1 to -1)
f_RSI(series float rsi_src, simple int rsi_len, simple string rsi_wb, simple string ma_type, simple int ma_len) =>
output = switch rsi_wb
"RAW RSI" => ta.rsi(rsi_src, rsi_len)
"RSI MA" => ma_type == "EMA" ? (ta.ema(ta.rsi(rsi_src, rsi_len), ma_len)) : (ta.sma(ta.rsi(rsi_src, rsi_len), ma_len))
Signal Calculation
The final trading signal is a weighted average of both the slow and fast indicators, depending on the calculated weights from the RSI. This ensures a balanced approach, where slow indicators maintain overall trend guidance, while fast indicators provide timely entries and exits.
// Calculate Signal (as weighted average)
sig = math.round(((DMI*slow_w) + (CCI*slow_w) + (Aroon*slow_w) + (ZLEMA*fast_w) + (IIRF*fast_w)) / (3*slow_w + 2*fast_w), 2)
Backtest Mode and Performance Metrics
This version of the RSI Weighted Trend System includes a comprehensive backtesting mode, allowing users to evaluate the performance of their selected settings against a Buy & Hold strategy. The backtesting includes:
Equity calculation based on the signals generated by the indicator.
Performance metrics table comparing Buy & Hold strategy metrics with the system’s signals, including: Mean, positive, and negative return percentages, Standard deviations (of all, positive and negative returns), Sharpe Ratio, Sortino Ratio, and Omega Ratio
f_PerformanceMetrics(series float base, int Lookback, simple float startDate, bool Annualize = true) =>
// Initialize variables for positive and negative returns
pos_sum = 0.0
neg_sum = 0.0
pos_count = 0
neg_count = 0
returns_sum = 0.0
returns_squared_sum = 0.0
pos_returns_squared_sum = 0.0
neg_returns_squared_sum = 0.0
// Loop through the past 'Lookback' bars to calculate sums and counts
if (time >= startDate)
for i = 0 to Lookback - 1
r = (base - base ) / base
returns_sum += r
returns_squared_sum += r * r
if r > 0
pos_sum += r
pos_count += 1
pos_returns_squared_sum += r * r
if r < 0
neg_sum += r
neg_count += 1
neg_returns_squared_sum += r * r
float export_array = array.new_float(12)
// Calculate means
mean_all = math.round((returns_sum / Lookback) * 100, 2)
mean_pos = math.round((pos_count != 0 ? pos_sum / pos_count : na) * 100, 2)
mean_neg = math.round((neg_count != 0 ? neg_sum / neg_count : na) * 100, 2)
// Calculate standard deviations
stddev_all = math.round((math.sqrt((returns_squared_sum - (returns_sum * returns_sum) / Lookback) / Lookback)) * 100, 2)
stddev_pos = math.round((pos_count != 0 ? math.sqrt((pos_returns_squared_sum - (pos_sum * pos_sum) / pos_count) / pos_count) : na) * 100, 2)
stddev_neg = math.round((neg_count != 0 ? math.sqrt((neg_returns_squared_sum - (neg_sum * neg_sum) / neg_count) / neg_count) : na) * 100, 2)
// Calculate probabilities
prob_pos = math.round((pos_count / Lookback) * 100, 2)
prob_neg = math.round((neg_count / Lookback) * 100, 2)
prob_neu = math.round(((Lookback - pos_count - neg_count) / Lookback) * 100, 2)
// Calculate ratios
sharpe_ratio = math.round(mean_all / stddev_all * (Annualize ? math.sqrt(Lookback) : 1), 2)
sortino_ratio = math.round(mean_all / stddev_neg * (Annualize ? math.sqrt(Lookback) : 1), 2)
omega_ratio = math.round(pos_sum / math.abs(neg_sum), 2)
// Set values in the array
array.set(export_array, 0, mean_all), array.set(export_array, 1, mean_pos), array.set(export_array, 2, mean_neg),
array.set(export_array, 3, stddev_all), array.set(export_array, 4, stddev_pos), array.set(export_array, 5, stddev_neg),
array.set(export_array, 6, prob_pos), array.set(export_array, 7, prob_neu), array.set(export_array, 8, prob_neg),
array.set(export_array, 9, sharpe_ratio), array.set(export_array, 10, sortino_ratio), array.set(export_array, 11, omega_ratio)
// Export the array
export_array
The metrics help traders assess the effectiveness of their strategy over time and can be used to optimize their settings.
Calibration Mode
A calibration mode is included to assist users in tuning the indicator to their specific needs. In this mode, traders can focus on a specific indicator (e.g., DMI, CCI, Aroon, ZLEMA, IIRF, or RSI) and fine-tune it without interference from other signals.
The calibration plot visualizes the chosen indicator's performance against a zero line, making it easy to see how changes in the indicator’s settings affect its trend detection.
Customization and Default Settings
Important Note: The default settings provided are not optimized for any particular market or asset. They serve as a starting point for experimentation. Traders are encouraged to calibrate the system to suit their own trading strategies and preferences.
The indicator allows deep customization, from selecting which indicators to use, adjusting the lengths of each indicator, smoothing parameters, and the RSI weight system.
Alerts
Traders can set alerts for both long and short signals when the indicator flips, allowing for automated monitoring of potential trading opportunities.
Normalized Linear Regression (LSMA) OscillatorNormalized Linear Regression (LSMA) Oscillator
By Nathan Farmer
The Normalized LSMA Oscillator is a trend-following indicator that enhances the classic Linear Regression (LSMA) by applying a range of normalization techniques. This indicator allows traders to smooth out and normalize LSMA signals for better trend detection and dynamic market adaptation.
Key Features:
Configurable Normalization Methods:
This indicator offers several normalization techniques, such as Z-Score, Min-Max, Mean Normalization, Robust Scaler, Logistic Function, and Quantile Transformation. Each method helps in refining LSMA outputs to improve clarity in both trending and ranging market conditions.
Smoothing Options:
Smoothing can be applied after normalization, helping to reduce noise in the signals, thus making trend-following strategies that use this indicator more effective.
Recommended Settings:
Logistic Function Normalization: Recommended length of around 12, based on my preferred signal frequency.
Z-Score Normalization: Medium period (close to the default of 50), based on my preferred signal frequency.
Min-Max Normalization: Medium period, based on my preferred signal frequency.
Mean Normalization: Medium period, based on my preferred signal frequency.
Robust Scaler: Medium period, based on my preferred signal frequency.
Quantile Transformation: Medium period, based on my preferred signal frequency.
Usage:
Designed primarily for trend-following strategies, this indicator adapts well to varying market conditions. Traders can experiment with the various normalization and smoothing settings to match the indicator to their specific needs and market preferences.
Recommendation before usage:
Always backtest the indicator for yourself with respect to how you intend to use it. Modify the parameters to suit your needs, over your preferred time frame, on your preferred asset. My preferences are for the assets I happened to be looking at when I made this indicator. Odds are, you're looking at something else, over a different time frame, in a different market environment than what my settings are tailored for.
FXN1 - StochRSI Multiple AssetsThe "FXN1 StochRSI Multi Assets" is a powerful and versatile TradingView script designed for traders looking to analyze multiple assets using the Stochastic RSI (StochRSI) indicator. This script allows traders to compare the StochRSI of two different assets on the same chart, providing a dynamic tool for cross-asset analysis and decision-making.
Key Features:
Multi-Asset Stochastic RSI Calculation:
The "FXN1 StochRSI Multi" script allows users to analyze the Stochastic RSI of two different assets simultaneously. By default, the script compares the US Dollar Index (DXY) and Gold (GC1!), but users can easily customize these inputs to track any two assets of their choice.
Customizable Stochastic RSI Parameters:
The script gives traders full control over the StochRSI calculation by providing adjustable parameters such as:
K Smoothing: The number of periods used to smooth the %K line.
RSI Length: The length of the RSI calculation.
Stochastic Length: The number of periods used for the Stochastic calculation.
These customizable parameters enable traders to fine-tune the StochRSI indicator to suit their trading strategies and timeframes.
Visual Comparison of Two Assets:
The script plots the StochRSI values for both assets on the same chart, making it easy to compare momentum between two markets. Each asset is represented by distinct colors for clear differentiation:
Asset 1 (e.g., DXY) is plotted in a green line.
Asset 2 (e.g., Gold) is plotted in a yellow line.
This visual representation helps traders identify divergences, correlations, and potential trade opportunities based on momentum shifts across multiple assets.
Overbought and Oversold Zones:
The script includes predefined horizontal lines at the 80 (overbought) and 20 (oversold) levels to help traders quickly identify areas where the assets may be overextended. These zones are highlighted in bold, bright colors to stand out:
Overbought (80): A magenta line indicates the upper boundary, signaling potential selling pressure.
Oversold (20): A cyan line marks the lower boundary, signaling potential buying interest.
Use Cases:
Cross-Asset Momentum Analysis:
By tracking the StochRSI of two correlated or inversely correlated assets, traders can gauge shifts in momentum and spot divergences. For example, comparing DXY and Gold can provide valuable insights into the strength of the USD and the potential impact on commodities.
Identifying Potential Reversals:
Traders can use this indicator to detect overbought or oversold conditions in multiple markets simultaneously, making it easier to anticipate potential market reversals or trend continuations.
Diversified Trading Decisions:
Instead of focusing on a single asset, the script helps traders broaden their analysis by monitoring the momentum of two different assets. This makes it ideal for traders looking to diversify their portfolios or hedge positions based on multi-asset trends.
How It Works:
The script calculates the Stochastic RSI for each selected asset using a smooth %K line derived from the RSI of the asset’s closing price. The RSI is smoothed further to calculate the Stochastic value, and these values are plotted over time, giving traders insight into the relative strength and potential reversals for each asset.
The clear, color-coded lines for each asset make it simple to spot key StochRSI crossovers, divergences, and other potential trade signals.
Conclusion:
The "FXN1 StochRSI Multi" indicator offers a unique and practical approach for traders who want to enhance their trading analysis by incorporating the Stochastic RSI of multiple assets. With customizable settings, overbought/oversold zones, and a user-friendly design, this tool provides everything traders need to perform cross-market technical analysis. Whether you are trading forex, commodities, or indices, this script is a valuable addition to your trading toolbox.
Option Delta Candles [Luxmi AI]Introduction
In the world of options trading, understanding how an option’s price changes with various factors is crucial. One of the key metrics traders use is **Delta**, which measures the sensitivity of an option’s price to changes in the price of the underlying asset. This blog explores an Option Delta Indicator with an Exponential Moving Average (EMA), including its uses, how it works, and its potential limitations.
What is the Option Delta Indicator?
Delta is one of the "Greeks" used in options trading to gauge the risk and behavior of options. It indicates how much an option's price is expected to change for a one-point move in the underlying asset's price. Specifically:
- Call Option Delta: A positive value indicating that the option's price increases as the underlying price increases.
- Put Option Delta: A negative value indicating that the option's price decreases as the underlying price increases.
Key Features of the Indicator
Delta Calculation
The Option Delta Indicator calculates the delta of a call option using the Black-Scholes model, a widely accepted method for pricing European-style options. The formula for delta in the context of a call option is:
Delta = N(d1)
Where:
d1 is calculated as:
d1 = (ln(S / K) + (r + (σ^2 / 2)) * T) / (σ * sqrt(T))
Here, S is the current market price of the option (used as the strike price in this case), K is the strike price, r is the risk-free interest rate, σ is the volatility, and T is the time to expiry in years.
EMA of Delta
The Exponential Moving Average (EMA) of the delta is also plotted. The EMA is a smoothing function that helps identify trends by giving more weight to recent data points. It is calculated as:
EMA = ta.ema(delta_call, emaLength)
Where `emaLength` is the user-defined period for the EMA.
Uses of the Option Delta Indicator
Trend Analysis
The EMA helps smooth out delta values, making it easier to identify trends in the delta over time. This can be useful for traders looking to understand whether the delta is increasing or decreasing, which may indicate how the option’s sensitivity to price changes is evolving.
Decision-Making Tool
By observing both delta and its EMA, traders can make more informed decisions. For instance, if the delta is rising and the EMA confirms this trend, it might indicate bullish momentum in the underlying asset. Conversely, a declining delta with a falling EMA could suggest bearish trends.
Risk Management
Understanding the delta can help traders manage their risk by assessing how sensitive their options positions are to movements in the underlying asset. By using the EMA of delta, traders can better gauge changes in sensitivity and adjust their positions accordingly.
Limitations and Disadvantages
Dependence on Model Assumptions
The Black-Scholes model, which is used to calculate delta, relies on several assumptions including constant volatility and interest rates, and the absence of dividends. These assumptions may not hold in real-world markets, potentially affecting the accuracy of delta calculations.
No Consideration of Market Conditions
The indicator does not account for broader market conditions or liquidity factors. Delta and its EMA are calculated based purely on price and time to expiry, without incorporating market news or events that might impact the option's price.
Lag in EMA
The EMA, while smoothing data, introduces a lag because it is based on past prices. This means that the EMA may not react immediately to sudden price changes, potentially causing delayed signals.
Simplified Strike Price
In this indicator, the strike price is set to the current market price of the option. This simplification might not be suitable for all trading strategies, particularly if a different strike price is more relevant to the trader's strategy.
Limited Scope
This indicator focuses solely on delta and its EMA. While useful, it does not provide a comprehensive view of an option’s overall risk profile. Traders should consider using additional indicators and analyses for a more complete understanding.
Conclusion
The Option Delta Indicator with EMA offers a useful tool for traders to analyze how the sensitivity of an option’s price to changes in the underlying asset’s price evolves over time. The inclusion of an EMA helps to smooth out the delta values and identify trends. However, traders should be aware of the limitations, including the model’s assumptions, potential lag in EMA signals, and the simplified approach to the strike price.
As with any trading tool, it's crucial to use this indicator as part of a broader trading strategy that includes other analyses and risk management practices. Understanding its strengths and limitations will help traders make more informed decisions and enhance their overall trading effectiveness.
ICT Panther (By Obicrypto) V1 ICT Panther Indicator: Full and Detailed Description
The ICT Panther Indicator, created by Obicrypto, is an advanced technical analysis tool designed specifically for traders looking to identify key price action events based on institutional trading techniques, particularly in the context of the Inner Circle Trader (ICT) methodology. This indicator helps traders spot market structure breaks, order blocks, and potential trade opportunities driven by institutional behaviors in the market. Here's a detailed breakdown of its features and how it works:
What Does the ICT Panther Indicator Do?
1. Market Structure Breaks (MSB) Identification:
The ICT Panther identifies critical points where the market changes direction, commonly referred to as a break of structure (BoS). When the price breaks above or below certain key levels (based on highs and lows or opens and closes), it signals a potential shift in market sentiment. These break-of-structure points are essential for traders to determine whether the market is likely to continue its trend or reverse.
2. Order Blocks Visualization:
The indicator plots demand (bullish) and supply (bearish) boxes, which represent areas where institutional traders might place significant buy or sell orders. These zones, known as order blocks, are areas where the price tends to pause or reverse, giving traders key insights into potential entry and exit points. The indicator shows these areas graphically as colored boxes on the chart, which can be used to plan trades based on market structure and price action.
3. Pivot Point Detection:
The ICT Panther identifies important pivot points by tracking higher highs and lower lows. These pivot points are critical in determining the strength of a trend and can help traders confirm the direction of the market. The indicator uses a unique algorithm to detect two levels of pivot points:
- First-Order Pivots: Major pivot points where the price makes notable highs and lows.
- Second-Order Pivots: Smaller pivot points, useful for detecting microtrends within the larger market structure.
4. Bullish and Bearish Break of Structure Lines:
When a significant market structure break (BoS) occurs, the indicator will automatically draw red lines (for bearish break of structure) and green lines (for bullish break of structure) at key price levels. These lines help traders quickly see where institutional moves have occurred in the past and where potential future price moves could originate from.
5. Tested and Filled Boxes:
The ICT Panther also has a built-in mechanism to dim previously tested order blocks. When the price tests an order block (returns to a previous demand or supply zone), the box's color dims to indicate that the area has already been tested, reducing its significance. If the price fully fills an order block, the box stops plotting, providing a clear and clutter-free chart.
Key Features
1. Market Structure Break (MSB) Trigger:
- The indicator allows users to select between highs/lows or opens/closes as the trigger for market structure breaks. This flexibility lets traders adjust the indicator to suit their personal trading style or the behavior of specific assets.
2. Order Block Detection and Visualization:
- The tool automatically plots bullish and bearish demand and supply boxes, representing institutional order blocks on the chart. These boxes provide visual cues for areas of potential price action, where institutional traders might be active.
3. Second-Order Pivot Highlighting:
- The ICT Panther offers an option to plot second-order pivots, highlighting smaller pivot points within the larger market structure. These pivots can be helpful for short-term traders who need to react to smaller price movements while still keeping the larger trend in mind.
4. Box Test and Fill Delays:
- Users can configure delays for box tests and box fills, meaning the indicator will only mark a box as tested or filled after a certain number of bars. This prevents false signals and helps confirm that a zone is truly significant in the market.
5. Customization and Visual Clarity:
- The indicator is highly customizable, allowing users to turn on or off various features like:
- Displaying second-order pivots.
- Highlighting candles that broke structure.
- Plotting market structure broke lines.
- Showing or hiding tested and filled demand boxes.
- Setting custom delays for box testing and filling to suit different market conditions.
6. Tested and Filled Order Block Visualization:
- The indicator visually adjusts the tested and filled order blocks, dimming tested zones and removing filled zones to avoid clutter on the chart. This ensures that traders can focus on active trading opportunities without distractions from historical data.
How Does It Work?
1. Detecting Market Structure Breaks (BoS):
- The indicator continuously tracks the market for key price action signals. When the price breaks through previous highs or lows (or opens and closes, depending on your selection), the indicator marks this as a break of structure. This is a critical signal used by institutional traders and retail traders alike to determine potential future price movements.
2. Order Block Identification:
- Whenever a bullish break of structure occurs, the indicator plots a green demand box to show the area where institutional buyers might have placed significant orders. Similarly, for a bearish break of structure, it plots a red supply box representing areas where institutional sellers are active.
3. Pivot Analysis and Tracking:
- As the market moves, the indicator continuously updates first-order and second-order pivot points based on highs and lows. These points help traders identify whether the market is trending or consolidating. Traders can use these pivot points in combination with the order blocks to make informed trading decisions.
4. Box Testing and Filling:
- When the price retests an existing order block, the box dims to show it has been tested. If the price fully fills the box, it is no longer shown, which helps traders focus on the most relevant, untested order blocks.
Benefits for Traders
- Improved Decision-Making: With clear visuals and advanced logic based on institutional trading strategies, this indicator provides a deeper understanding of market structure and price action.
- Reduced Clutter: The indicator intelligently manages the display of order blocks and pivot points, ensuring that traders focus only on the most relevant information.
- Adaptability: Whether you are a swing trader or a day trader, the ICT Panther can be adjusted to fit your trading style, offering robust and flexible tools for tracking market structure and order blocks.
- Institutional Edge: By identifying institutional-level order blocks and market structure breaks, traders using this indicator can trade in line with the strategies of large market participants.
Who Should Use the ICT Panther Indicator?
This indicator is ideal for:
- Crypto, Forex, and Stock Traders who want to incorporate institutional trading concepts into their strategies.
- Technical Analysts looking for precise tools to measure the market structure and price action.
- ICT Traders who follow the Inner Circle Trader methodology and want an advanced tool to automate and enhance their analysis.
- Price Action Traders seeking a reliable indicator to track pivot points, order blocks, and market structure breaks.
The ICT Panther Indicator is a powerful, versatile tool that brings institutional trading techniques to the fingertips of retail traders. Whether you are looking to identify key market structure breaks, order blocks, or crucial pivot points, this indicator offers detailed visualizations and customizable options to help you make more informed trading decisions. With its ability to track the activities of institutional traders, the ICT Panther Indicator equips traders with the insights needed to stay ahead of the market and trade with confidence.
With the ICT Panther Indicator, traders can follow the movements of institutional money, making it easier to predict market direction and capitalize on high-probability trading opportunities.
Enjoy it and share it with your friends!
ICT Killzones with Market BehaviorIndicator Title: ICT Killzones with Market Behavior
Description:
Introducing the ICT Killzones with Market Behavior indicator, a powerful tool designed for traders looking to capitalize on key trading timeframes in the New York session.
Key Features:
Visual Timeframes: This indicator highlights essential trading periods, including Pre-Market, NY Open, NY Lunch, and NY PM sessions. These visual markers help you quickly identify when the market is likely to experience heightened activity and liquidity.
Real-Time Insights: Stay informed with dynamic text displayed at the top of your chart. The indicator updates in real-time, providing actionable insights on what to expect during each session—whether it’s volatility, consolidation, or potential trend continuation.
Custom Color Options: Tailor the color settings for each killzone to fit your personal trading style and enhance the visual clarity of your chart.
User-Friendly Design: Built with simplicity in mind, this indicator integrates seamlessly into TradingView, making it easy for traders of all experience levels to utilize.
How to Use:
Add to Your Chart: Integrate the ICT Killzones with Market Behavior indicator into your TradingView setup.
Monitor Market Conditions: Keep an eye on the highlighted timeframes and the real-time insights displayed at the top. This information can guide your trading strategy effectively.
Adjust Your Approach: Use the insights from the indicator to modify your trading decisions based on the expected market behavior during each session.
Note: This indicator is for educational purposes only and should not be interpreted as financial advice. Always perform your own research and assess risks before making any trading decisions.
Persistent Price Movement HighlighterHighlights a candle a configurable color when that candle’s price exceeds a configurable percentage threshold. The user may select to highlight only bullish candles, only bearish candles or both. Provides an alert when a threshold has been reached on a candle.
Bitcoin 100 Pips Indicator 5Bitcoin 100 Pips Indicator
Description: The Bitcoin 100 Pips Indicator is a powerful tool designed for traders who seek to capitalize on rapid price movements in the Bitcoin market. This indicator provides clear entry and exit signals based on a combination of price action analysis and pre-defined profit targets.
Key Features:
Quick Entry and Exit Signals: The indicator generates buy and sell signals in real-time, allowing traders to enter and exit positions quickly and effectively.
Targeting 100 Pips: Specifically designed to target 100 pips of profit for each trade, this indicator sets clear take profit and stop loss levels, helping traders manage their risk and reward effectively.
User-Friendly Interface: With easily visible signals and annotations directly on the chart, the indicator enhances your trading experience without cluttering your view.
Adjustable Settings: Traders can customize the pip target and stop loss levels according to their individual strategies, providing flexibility to accommodate different trading styles.
Ideal for Short-Term Trading: Whether you are a scalper or a day trader, this indicator is optimized for M5 and M15 timeframes, making it ideal for capturing quick price movements in the volatile Bitcoin market.
How to Use:
Apply the Bitcoin 100 Pips Indicator to your chart and select your preferred trading timeframe (M5 or M15).
Look for buy signals indicated by green labels when market conditions favor upward movement.
Conversely, watch for sell signals marked by red labels during downward trends.
Use the provided take profit and stop loss levels to manage your trades effectively.
Disclaimer: This indicator is for informational purposes only and does not guarantee profits. Always practice proper risk management and conduct your own analysis before trading.
Atlas Trend Position TableAtlas Trend Position Table
This script provides an easy-to-understand position overview for traders, including key metrics such as entry price, potential profit, potential loss, and current profit/loss (PnL). It’s designed to help traders manage their open positions effectively, especially when using leverage.
Inputs:
Order Size ($): The total amount of capital used for the trade.
Entry Price: The price at which the trade was entered.
Stop Loss: The price level at which the trade will be exited to prevent further losses.
Take Profit: The price level where the trader aims to take profits.
Leverage: The multiplier for leveraged trading.
Commission (%): The commission fee applied to each trade.
Key Features:
Position Value Calculation: The script calculates the total position value by taking into account the leverage used in the trade.
Potential Profit and Loss:
Potential profit is calculated based on the difference between the take profit and the entry price, adjusted for commission.
Potential loss is calculated similarly, using the stop loss, and includes the effect of commission.
Real-Time Profit/Loss: The script also calculates real-time profit or loss using the current market price, factoring in leverage and commission.
Dynamic Background Colors:
The PnL background color dynamically adjusts: green when in profit, red when in loss. This provides a quick visual cue to assess the current trade status.
Table Display:
The output is shown in a table positioned on the right side of the chart. It contains the following information:
Entry Price: Displays the trade’s entry price.
Order Size ($): Shows the total leveraged position value.
Potential Profit: The potential profit from the trade based on the take profit level.
Potential Loss: The potential loss from the trade based on the stop loss level.
Current PnL: Displays the current profit or loss based on the live market price.
How to Use:
Input your trade details in the settings menu, including your entry price, stop loss, take profit, and leverage.
The script will automatically calculate and display the potential outcomes and live PnL.
Use the visual indicators to monitor the status of your open position and adjust your strategy accordingly.
This tool is designed to be simple, effective, and user-friendly, providing traders with the essential data they need for better risk management and decision-making.
Delta EdgeAt Inertia Trading Systems, we are excited to introduce our latest release, the Delta Edge indicator. Designed specifically for traders using TradingView, Delta Edge makes reading delta simpler and more intuitive, giving you a clearer understanding of market dynamics in real-time. Whether you're a seasoned trader or just starting out, Delta Edge offers a streamlined way to monitor buying and selling pressure, helping you make more informed trading decisions with ease.
The " Delta Edge " indicator calculates and plots cumulative delta, which tracks the net difference between buy and sell volume in futures trading. This gives traders insight into market sentiment by showing the underlying buying or selling pressure.
-Delta represents the difference between buy and sell volume: positive delta means more buying, while negative delta shows more selling pressure.
-The cumulative delta shifts when the market moves from buying to selling (or vice versa), helping identify potential trend reversals.
-A color-coded histogram (green for positive, red for negative) visually represents these shifts in market pressure.
Traders often use delta to gauge whether the market is likely to continue in a certain direction or reverse, depending on the strength of buying or selling pressure. This tool is particularly valuable for intraday traders and scalpers who focus on short-term price movements, as it helps them understand the underlying order flow driving the market.
Additionally, the indicator is effective in detecting divergences between price action and order flow. For example, if price is making higher highs but delta is decreasing (indicating weakening buying pressure), it may signal a bearish divergence and a potential reversal. These divergences help traders spot hidden market strength or weakness, making the indicator a powerful tool for assessing future market moves.
Multiple SMA, EMA, and VWAP CrossoversMultiple SMA, EMA, and VWAP Crossovers with Alerts
Overview : The "Multiple SMA, EMA, and VWAP Crossovers" script is designed for traders who want to monitor various simple moving averages (SMAs), exponential moving averages (EMAs), and the volume-weighted average price (VWAP) to identify potential buy and sell opportunities. This script allows you to visualize key moving averages on your chart and create custom alerts for specific crossover events.
Detail s: This script plots the following moving averages:
Simple Moving Averages (SMA): 5, 10, 20, 50, 100, 200, and 325 periods
Exponential Moving Average (EMA): 9 periods
Volume-Weighted Average Price (VWAP)
It includes options to display these moving averages and set alerts for their crossovers.
Available Crossovers:
20/50 SMA, 20/100 SMA, 20/200 SMA, 20/325 SMA
50/100 SMA, 50/200 SMA, 50/325 SMA
100/200 SMA, 100/325 SMA
200/325 SMA
VWAP/20 SMA, VWAP/50 SMA, VWAP/100 SMA, VWAP/200 SMA, VWAP/325 SMA
Optional Lines to Add to the Chart:
9 EMA, 5 SMA, 10 SMA, 20 SMA, 50 SMA, 100 SMA, 200 SMA, 325 SMA, VWAP
How to Use:
Enable Indicators: Use the input options to select which SMAs, EMA, and VWAP you want to display on your chart.
Set Alerts: Choose the specific crossover events you want to monitor. For example, you can set an alert for the 20/50 SMA crossover or the VWAP/100 SMA crossover.
Monitor the Chart: The script will plot the selected moving averages on your chart. When a selected crossover event occurs, an alert will be triggered, notifying you of the potential trade opportunity.
Usage Tips:
Trending Market: Use the buy and sell alerts in trending markets where the moving averages can help confirm the direction of the trend.
Key Support and Resistance Levels: Combine crossover alerts with key support and resistance levels for more reliable trading signals.
Volume Confirmation: Ensure there is sufficient volume to support the crossover signals, indicating stronger momentum behind the move.
When NOT to Use Buy and Sell Alerts:
Low Volume: Avoid using buy and sell alerts during periods of low trading volume, as the signals may be less reliable.
Market Noise: Be cautious in highly volatile markets where frequent crossovers might generate false signals.
Sideways Market: In a sideways or range-bound market, crossover signals can result in multiple whipsaws, leading to potential losses.
Why Use This Script? This script provides a comprehensive tool for traders to monitor multiple moving averages and VWAP crossovers efficiently. It allows you to customize alerts based on your trading strategy and helps you make informed decisions by visualizing key technical indicators on your chart.
Legal Disclaimer: The information provided by this script is for educational and informational purposes only and should not be considered financial advice. The developer of this script is not responsible for any financial losses incurred from using this script.
