4H Swing Trade EMA Trend StrategyThe XAUUSD EMA Trend Strategy indicator is designed to identify market trends and provide buy and sell signals for XAUUSD (gold) based on Exponential Moving Averages (EMAs) and candlestick analysis. Here's how it works, broken down:
1. EMA Setup
Exponential Moving Averages (EMAs) are used to help determine the market trend.
Blue EMA: Calculated using the high prices with a length of 20 periods (emaHigh).
Yellow EMA: Calculated using the low prices with a length of 20 periods (emaLow).
Both EMAs are plotted on the chart in blue (for the high-based EMA) and yellow (for the low-based EMA).
2. Trend Detection
The trend is determined based on the position of the current price relative to the EMAs:
Uptrend: When the closing price is above the blue EMA (high-based EMA).
Downtrend: When the closing price is below the yellow EMA (low-based EMA).
Sideways Trend: If neither the uptrend nor downtrend conditions are met, the market is considered sideways.
3. Buy and Sell Signal Conditions
Buy Signal:
The market is in an uptrend (price is above the blue EMA).
The close price is above the blue EMA, and the candlestick body (close > open) closes above the blue EMA.
Sell Signal:
The market is in a downtrend (price is below the yellow EMA).
The close price is below the yellow EMA, and the candlestick body (close < open) closes below the yellow EMA.
No Signal in Sideways Market: The strategy avoids generating buy or sell signals when the market is in a sideways trend.
4. Stop Loss (SL) and Take Profit (TP) Calculation
Risk-to-Reward Ratio: A ratio of 1.5 is used for setting the take profit (TP) and stop loss (SL).
For Buy Signals:
The stop loss (SL) is set at the previous swing low.
The take profit (TP) is calculated as the entry price plus 1.5 times the distance between the entry price and the previous swing low.
For Sell Signals:
The stop loss (SL) is set at the previous swing high.
The take profit (TP) is calculated as the entry price minus 1.5 times the distance between the entry price and the previous swing high.
5. Signal Labels
Buy and Sell Labels:
When a buy or sell signal is triggered, a label is displayed on the chart, either below or above the candlestick:
Buy label appears below the candlestick with the corresponding stop loss (SL) and take profit (TP) values.
Sell label appears above the candlestick with the corresponding stop loss (SL) and take profit (TP) values.
A line is drawn between the candlestick and the label for clarity.
6. Trend Table
A table is displayed in the upper-right corner of the chart showing the current market trend:
Uptrend: When the price is above the blue EMA.
Downtrend: When the price is below the yellow EMA.
Sideways: When neither of the above conditions are met.
7. Shape Plotting
Buy Signal Shape: A green label is plotted below the candlestick for a buy signal.
Sell Signal Shape: A red label is plotted above the candlestick for a sell signal.
Summary of How the Strategy Works:
Trend Identification: The strategy uses two EMAs (one based on the highs, and the other based on the lows) to identify whether the market is in an uptrend, downtrend, or sideways.
Entry Signals: Buy and sell signals are generated based on the price's position relative to the EMAs and the candlestick's closing price.
SL/TP Calculation: A risk-to-reward ratio of 1:1.5 is applied, with SL and TP set based on previous swings.
Trend Table: The strategy displays the current trend in the upper-right corner for easy tracking.
This setup allows you to track and trade trends effectively on XAUUSD with clear signals and a risk management strategy built-in.
التحليل الأساسي
ZACARÍA$ 9/21 EMA Cross + 55 MAThis is a MA Cross with the 9 EMA + 21 EMA, but it also features a Simple MA at the 55. Useful for Forex, but can be applied to any chart
Prev Day & Curr Day H/L + Opening Range (9:30, 5min)Script Description:
This TradingView Pine Script is designed for use on a 5‑minute chart and plots key price levels for daily trading analysis. It automatically draws:
• Previous Day High/Low Lines:
These lines mark the previous day’s regular trading hours (RTH) high and low levels, with labels (“PDH” and “PDL”) for easy identification.
• Current Day High/Low Lines:
As the trading day progresses, the script updates and displays the current day’s RTH high and low levels, labeled as “CDH” and “CDL”.
• Opening Range for 9:30 AM:
The script specifically identifies the first 5‑minute candle at 9:30 AM (using the “America/New_York” time zone) and draws two additional lines at its high and low. These lines are labeled “HighOpen” and “LowOpen” to indicate the opening range.
All lines are drawn with a width of 5 and have configurable colors, styles, and extension lengths. The script automatically resets at the start of each new day, ensuring that the plotted levels are current and relevant for daily trading decisions.
XAU/USD Strategy: Candlestick Patterns Buy/SellThis indicator combines several technical analysis tools to generate buy and sell signals for XAU/USD (gold) based on candlestick patterns, RSI, Supertrend, and market structure (Swing High/Low). Here's a breakdown of how it works:
1. Input Parameters:
RSI Length & Levels:
rsi_length: The period for calculating the Relative Strength Index (RSI), defaulted to 14.
rsi_overbought: The overbought level for RSI, defaulted to 70.
rsi_oversold: The oversold level for RSI, defaulted to 30.
Supertrend Settings:
supertrend_atr: The period for the Average True Range (ATR), defaulted to 10.
supertrend_mult: The multiplier for the ATR in the Supertrend calculation, defaulted to 3.
Label Size: Controls the text size for the labels (Small, Normal, or Large).
Swing Length: Determines the lookback period to identify the highest high and lowest low for market structure analysis.
2. Exponential Moving Averages (EMAs):
Four EMAs (20, 50, 100, and 200 periods) are calculated, though they aren't directly used in the signal generation in this script.
3. RSI Calculation:
The RSI is calculated with the user-defined length (rsi_length) and is used to identify overbought and oversold conditions. If RSI is below the oversold level (30), it suggests a potential buy, and if RSI is above the overbought level (70), it suggests a potential sell.
4. Supertrend Calculation:
The Supertrend is calculated based on the ATR (with supertrend_atr length) and the user-defined multiplier (supertrend_mult).
The Supertrend Direction is determined by whether the price is above or below the Supertrend:
Direction = 1 (bullish) when the close is above the Supertrend upper band.
Direction = -1 (bearish) when the close is below the Supertrend lower band.
Direction = 0 (neutral) when the close is in between the bands.
5. Market Structure (SMC):
Swing Highs and Lows: The script identifies the highest high and lowest low over the last swing_length periods.
Last High and Last Low: These values are stored to be used in the signal generation logic.
6. Candlestick Patterns:
Bullish Engulfing: This pattern occurs when the current candle is bullish and fully engulfs the previous bearish candle.
Bearish Engulfing: This pattern occurs when the current candle is bearish and fully engulfs the previous bullish candle.
7. Signal Generation:
Buy Signal:
The RSI is below the oversold level (RSI < 30).
The Supertrend is bullish (direction = 1).
The price is above the last low.
OR: A bullish engulfing candlestick pattern occurs.
Sell Signal:
The RSI is above the overbought level (RSI > 70).
The Supertrend is bearish (direction = -1).
The price is below the last high.
OR: A bearish engulfing candlestick pattern occurs.
8. Label Plotting:
When a buy signal is generated:
A label is plotted below the candlestick indicating a "Buy" action, showing whether it was triggered by the RSI + Supertrend or by a Bullish Engulfing pattern.
A green line is drawn from the candlestick low to the buy label.
When a sell signal is generated:
A label is plotted above the candlestick indicating a "Sell" action, showing whether it was triggered by the RSI + Supertrend or by a Bearish Engulfing pattern.
A red line is drawn from the candlestick high to the sell label.
9. Alert Conditions:
Alerts are set for both buy and sell signals so that traders can receive notifications when a signal occurs for XAU/USD.
Summary:
This indicator generates buy and sell signals based on a combination of the RSI (for overbought/oversold conditions), Supertrend (for trend direction), market structure (Swing High/Low), and candlestick patterns (Bullish/Bearish Engulfing). Labels are plotted on the chart indicating the trade type, and lines connect the labels to the respective candlesticks. Alerts can be triggered when buy or sell conditions are met, making it a comprehensive strategy for trading XAU/USD (gold).
ZACARÍA$ 5/20 EMA Cross + 50 SMAThis is a MA Cross with the 5 EMA + 20 EMA, but it also features a Simple MA at the 50. Useful for Forex, but can be applied to any chart
RSI Buy/Sell SignalBuy sell base on RSI 4
Buy when RSI close above 68
Sell when RSI of candle close below 32
Apply for XAUUSD
SMC Trading Checklist with Price Action and Buy/Sell AlertsBUY and SELL Text in Bold:
The plotshape function is used to display the text "BUY" in bold when the conditions for a bullish entry are met, and "SELL" in bold when the conditions for a bearish entry are met.
The textcolor=color.white ensures the text is visible, and size=size.normal adjusts the size for clarity.
Visual Indicators:
The buy and sell signals are visually clear with green for buy and red for sell, along with bold text labels appearing above or below the candles as appropriate.
Alerts with Text:
The alerts now contain messages like "BUY!" or "SELL!" to provide explicit notifications when the signals are triggered.
Outputs:
BUY in bold text will appear when a bullish entry signal occurs.
SELL in bold text will appear when a bearish entry signal occurs.
The background will change to green for bullish and red for bearish entries, adding an extra layer of clarity.
Optimized Long-Only Strategy (Spot Market) - Candle Signals OnlyThis strategy is designed for long-only trading on the spot market and makes use of a combination of technical indicators to time entries and manage risk
Bull & Bear Run Detector (More Flexible for 1H, 4H, 1D)Bull & Bear Run Detector (More Flexible for 1H, 4H, 1D)
Draw on Liquidity [PhenLabs]📊 Draw on Liquidity (DOL) Indicator
Version: PineScript™ v6
Description
The Draw on Liquidity (DOL) indicator is an advanced technical analysis tool designed to identify and visualize significant liquidity zones in the market. It combines volume analysis, pivot point detection, and real-time proximity alerts to help traders identify potential support and resistance levels where significant trading activity occurs. The indicator features dual display modes, adaptive volume thresholds, and a comprehensive real-time dashboard.
🔧 Components
• Liquidity Detection: Advanced pivot point analysis with volume validation
• Volume Analysis: Adaptive volume threshold system
• Display Modes: Historical and Current visualization options
• Proximity Detection: Real-time price-to-level distance monitoring
• Visual Dashboard: Dynamic status display with alert system
🚨 Important Dashboard Features 🚨
The dashboard provides real-time information about:
• High Draw Zones: Resistance levels with significant liquidity
• Low Draw Zones: Support levels with high trading activity
• Current Price: Real-time price monitoring
• Active Alerts: Proximity warnings when price approaches liquidity zones
📈 Visualization
• Historical Mode: Displays all past and present liquidity zones
• Current Mode: Shows only active, unhit liquidity levels
• Color-coded lines: Blue for high liquidity, Red for low liquidity
• Dynamic line extension: Updates with price movement
• Alert indicators: Visual signals when price approaches zones
Historical Visualization
Current Visualization
📌 Usage Guidelines
The indicator is highly customizable with several key parameters:
Pivot Settings:
• Shorter lengths (3-7): More frequent zones, suitable for scalping
• Longer lengths (7-15): Major zones, better for swing trading
Volume Analysis:
• Lower multiplier (1.5-2.0): More zones, higher sensitivity
• Higher multiplier (2.0-3.0): Major zones only, reduced noise
✅ Best Practices:
• Start with default settings and adjust based on timeframe
• Use Historical mode for analysis, Current mode for active trading
• Monitor dashboard alerts for potential trade setups
• Combine with trend analysis for better entry/exit points
⚠️ Limitations
• Requires sufficient volume data for accurate analysis
• Performance varies with market volatility
• Historical mode may become visually cluttered on longer timeframes
• Best performance during regular market hours
What Makes This Unique
• Dual Display System: Choose between historical analysis and current trading modes
• Volume-Validated Zones: Only marks levels with significant trading activity
• Real-time Proximity Alerts: Dynamic warnings when approaching liquidity zones
• Adaptive Threshold System: Automatically adjusts to market conditions
• Comprehensive Dashboard: All-in-one view of current market status
🔧 How It Works
The indicator processes market data through three main components:
1. Liquidity Detection (40% weight):
• Identifies pivot points using customizable lookback periods
• Validates levels with volume analysis
• Marks significant zones based on combined criteria
2. Volume Analysis (40% weight):
• Calculates dynamic volume thresholds
• Compares current volume to moving average
• Filters out low-volume noise
3. Proximity Analysis (20% weight):
• Monitors price distance to active zones
• Triggers alerts based on customizable thresholds
• Updates dashboard status in real-time
💡 Note: For optimal results, combine with price action analysis and consider using multiple timeframes for confirmation. The indicator performs best in markets with consistent volume and clear trend structure.
Seasonality Forecast: Predicting Market Trends with HistoricaThis Pine Script indicator analyzes **seasonal price patterns** based on historical data. It calculates **average price movements** over a user-defined lookback period (default: 5 years) and projects them into the future (default: 365 days). The script accounts for **election cycles**, allowing users to filter by election years, pre-election years, or post-election years. It tracks **trading days, weeks, and months**, smoothing the seasonal trend and adjusting for price scale.
R3v GoldKey Uses of Moving Averages:
Trend Identification: Moving averages help determine the overall market direction. If the price is above the moving average, it suggests an uptrend, while if it’s below, it suggests a downtrend.
Support and Resistance Levels: Prices often respect the moving average as dynamic support or resistance levels. For example, during an uptrend, the price may frequently bounce off the moving average.
Crossovers: A common trading strategy involves two moving averages with different periods, such as a fast EMA (like the 9-period) crossing above a slow SMA (like the 50-period). This crossover can signal a potential buy (bullish crossover) or sell (bearish crossover).
Market Cap & Volume Tracker with TrendsMarket Cap & Volume Tracker with Trends
This indicator provides a compact, at-a-glance view of key market data directly on your chart, specifically focusing on Market Cap, Volume, and Volume Trends over various time intervals. It helps traders and investors monitor price action and volume shifts in real-time.
Key Features:
Market Cap: Displays the market capitalization of the selected asset, calculated as the Close Price multiplied by Volume, and formatted in Millions (M).
Volume Data: Shows the volume for:
Pre-market (the volume before the main market session starts)
Current Volume (real-time volume during the current session)
After-hours Volume (volume traded after the market closes)
All volumes are formatted in Thousands (K) for easy readability.
Volume Trends: Monitors volume movement across multiple time intervals:
15-Minutes
30-Minutes
45-Minutes
1 Hour
The indicator tracks whether the volume is Increasing or Decreasing in each of these time frames to help identify trends and potential market shifts.
Customization:
Easily adjustable colors for the table background, text, and header for clear visibility and user preferences.
Option to choose the display position of the table (top or bottom right corner).
Use Case:
This indicator is ideal for traders who want quick insights into the market's activity without the need to look at multiple charts or external data points. It helps spot volume changes and trends over various time frames and supports decision-making for entries, exits, and overall market sentiment.
QoQ Economic & Financial Indicator ChangesA straightforward indicator for analyzing quarter-over-quarter (QoQ) percentage changes in economic and financial data series. Perfect for visualizing dynamic changes in:
Economic Indicators (GDP, House Price Indices, Employment Figures)
Company Financial Metrics (Revenue, EPS, Operating Margins)
Balance Sheet Items (Assets, Liabilities, Equity)
Cash Flow Statement Components
Other Quarterly Economic & Financial Data
Features:
Automatically calculates QoQ percentage changes
Color-coded visualization (green for positive, red for negative changes)
Displays exact percentage values
Includes adjustable scale factor for different data series
Zero line reference for easy trend identification
Earnings Expansion ProjectionThis indicator has no counterpart in the platform and is a professional-grade earnings visualization tool that plots EPS expansion directly on your charts, inspired by institutional-level technical analysis platforms.
The indicator creates a distinctive earnings expansion projection curve that can be a leading indicator of price direction moves.
Key features:
Clean, institutional-style, EPS-expansion projection line overlaid on price action
Visual earnings surprise indicators with beat/miss multipliers
Dashboard for rapid fundamental assessment including the stocks win rate on beatings / missing earnings historically and other fundamental information not readily available on Tradingview
What is it doing?
It collects all earnings results available and will interpolate the numbers so that we see earnings expansion as a curve.
The video below describes usage
Note: Valid on the weekly time-frame only.
RangeLevelsA Range Calculator Indicator is a tool typically used in trading to determine the price range of an asset over a specified period. It calculates the difference between the highest and lowest prices within a set timeframe (e.g., daily, weekly, monthly). This indicator can help traders assess market volatility, identify potential support and resistance levels, and make more informed decisions about entry and exit points. By visualizing the range, traders can better understand price fluctuations and manage risk more effectively. The Range Calculator can be customized to different timeframes and asset types to suit specific trading strategies.
Candle Color Based on TimeThis Pine Script indicator highlights ETH session candles with a user-specified color, allowing traders to distinguish between ETH and RTH sessions without switching charts. It provides a clearer visual separation compared to session boxes. The RTH session hours are also customizable in the settings, ensuring flexibility for different market hours if the trader wishes to do so.
Global M2 Index Percentage### **Global M2 Index Percentage**
**Description:**
The **Global M2 Index Percentage** is a custom indicator designed to track and visualize the global money supply (M2) in a normalized percentage format. It aggregates M2 data from major economies (e.g., the US, EU, China, Japan, and the UK) and adjusts for exchange rates to provide a comprehensive view of global liquidity. This indicator helps traders and investors understand the broader macroeconomic environment, identify trends in money supply, and make informed decisions based on global liquidity conditions.
---
### **How It Works:**
1. **Data Aggregation**:
- The indicator collects M2 data from key economies and adjusts it using exchange rates to calculate a global M2 value.
- The formula for global M2 is:
\
2. **Normalization**:
- The global M2 value is normalized into a percentage (0% to 100%) based on its range over a user-defined period (default: 13 weeks).
- The formula for normalization is:
\
3. **Visualization**:
- The indicator plots the M2 Index as a line chart.
- Key reference levels are highlighted:
- **10% (Red Line)**: Oversold level (low liquidity).
- **50% (Black Line)**: Neutral level.
- **80% (Green Line)**: Overbought level (high liquidity).
---
### **How to Use the Indicator:**
#### **1. Understanding the M2 Index:**
- **Below 10%**: Indicates extremely low liquidity, which may signal economic contraction or tight monetary policy.
- **Above 80%**: Indicates high liquidity, which may signal loose monetary policy or potential inflationary pressures.
- **Between 10% and 80%**: Represents a neutral to moderate liquidity environment.
#### **2. Trading Strategies:**
- **Long-Term Investing**:
- Use the M2 Index to assess global liquidity trends.
- **High M2 Index (e.g., >80%)**: Consider investing in risk assets (stocks, commodities) as liquidity supports growth.
- **Low M2 Index (e.g., <10%)**: Shift to defensive assets (bonds, gold) as liquidity tightens.
- **Short-Term Trading**:
- Combine the M2 Index with technical indicators (e.g., RSI, MACD) for timing entries and exits.
- **M2 Index Rising + RSI Oversold**: Potential buying opportunity.
- **M2 Index Falling + RSI Overbought**: Potential selling opportunity.
#### **3. Macroeconomic Analysis**:
- Use the M2 Index to monitor the impact of central bank policies (e.g., quantitative easing, rate hikes).
- Correlate the M2 Index with inflation data (CPI, PPI) to anticipate inflationary or deflationary trends.
---
### **Key Features:**
- **Customizable Timeframe**: Adjust the lookback period (e.g., 13 weeks, 26 weeks) to suit your trading style.
- **Multi-Economy Data**: Aggregates M2 data from the US, EU, China, Japan, and the UK for a global perspective.
- **Normalized Output**: Converts raw M2 data into an easy-to-interpret percentage format.
- **Reference Levels**: Includes key levels (10%, 50%, 80%) for quick analysis.
---
### **Example Use Case:**
- **Scenario**: The M2 Index rises from 49% to 62% over two weeks.
- **Interpretation**: Global liquidity is increasing, potentially due to central bank stimulus.
- **Action**:
- **Long-Term**: Increase exposure to equities and commodities.
- **Short-Term**: Look for buying opportunities in oversold assets (e.g., RSI < 30).
---
### **Why Use the Global M2 Index Percentage?**
- **Macro Insights**: Understand the broader economic environment and its impact on financial markets.
- **Risk Management**: Identify periods of high or low liquidity to adjust your portfolio accordingly.
- **Enhanced Timing**: Combine with technical analysis for better entry and exit points.
---
### **Conclusion:**
The **Global M2 Index Percentage** is a powerful tool for traders and investors seeking to incorporate macroeconomic data into their strategies. By tracking global liquidity trends, this indicator helps you make informed decisions, whether you're trading short-term or planning long-term investments. Add it to your TradingView charts today and gain a deeper understanding of the global money supply!
---
**Disclaimer**: This indicator is for informational purposes only and should not be considered financial advice. Always conduct your own research and consult with a professional before making investment decisions.
Auto Last Earnings AVWAP
This script provides an automated approach to tracking critical post-earnings price levels. You can add it to a chart and then flip through your watchlist to see the anchored AVWAPs without the need to do it manually one by one.
Core Features:
Automatically detects earnings dates and anchors VWAP calculations without manual input
Calculates volume-weighted average price specifically from the last earnings release
Identifies and visualizes significant earnings gaps between reporting periods
Volume-Based Signal Detection:
Monitors VWAP crosses with volume confirmation (requires 1.5x normal volume)
Labels high-volume breakouts with clear directional signals
Uses a 6-bar adaptive volume baseline to filter out noise
Practical Applications:
AVWAP anchored at earnings offers a great price support level that should be considered when deciding to buy/sell the stock. This script eliminates manual VWAP anchoring and reduces chart management time
Key Differentiators:
First note: coding VWAP anchoring in pine is more challenging that one would think. The source code is open to help other users and hopefully inspire different applications.
No need to manually anchor the VWAP
Draws earnings gap from earnings to earnings (if auto mode)
Detects breakouts through the AVWAP line
O'Neil Earnings StabilityO'Neil Earnings Stability Indicator
This indicator implements William O'Neil's earnings stability analysis, a key factor in identifying high-quality growth stocks. It measures both earnings stability (1-99 scale) and growth rate.
Scale Interpretation:
• 1-25: Highly stable earnings (ideal)
• 26-30: Moderately stable
• >30: More cyclical/less dependable
The stability score is calculated by measuring deviations from the earnings trend line, with lower scores indicating more consistent growth. Combined with the annual growth rate (target ≥25%), this helps identify stocks with both steady and strong earnings growth.
Optimal Criteria:
✓ Stability Score < 25
✓ Annual Growth > 25%
This tool helps filter out stocks with erratic earnings patterns and identify those with proven, sustainable growth records. Green label indicates both criteria are met; red indicates one or both criteria failed."
Would you like me to modify any part of this description or add more details about specific aspects of the calculation?
The key concepts in these calculations:
Stability Score (1-99 scale):
Lower score = more stable
Takes average deviation from mean earnings
Uses logarithmic scaling to emphasize smaller deviations
Multiplies by 20 to get into 1-99 range
Score ≤ 25 meets O'Neil's criteria
Growth Rate:
Year-over-year comparison (current quarter vs same quarter last year)
Calculated as percentage change
Growth ≥ 25% meets O'Neil's criteria
O'Neil's Combined Criteria:
Stability Score should be ≤ 25 (indicating stable earnings)
Growth Rate should be ≥ 25% (indicating strong growth)
Both must be met for ideal conditions
SPY/TLT Strategy█ STRATEGY OVERVIEW
The "SPY/TLT Strategy" is a trend-following crossover strategy designed to trade the relationship between TLT and its Simple Moving Average (SMA). The default configuration uses TLT (iShares 20+ Year Treasury Bond ETF) with a 20-period SMA, entering long positions on bullish crossovers and exiting on bearish crossunders. **This strategy is NOT optimized and performs best in trending markets.**
█ KEY FEATURES
SMA Crossover System: Uses price/SMA relationship for signal generation (Default: 20-period)
Dynamic Time Window: Configurable backtesting period (Default: 2014-2099)
Equity-Based Position Sizing: Default 100% equity allocation per trade
Real-Time Visual Feedback: Price/SMA plot with trend-state background coloring
Event-Driven Execution: Processes orders at bar close for accurate backtesting
█ SIGNAL GENERATION
1. LONG ENTRY CONDITION
TLT closing price crosses ABOVE SMA
Occurs within specified time window
Generates market order at next bar open
2. EXIT CONDITION
TLT closing price crosses BELOW SMA
Closes all open positions immediately
█ ADDITIONAL SETTINGS
SMA Period: Simple Moving Average length (Default: 20)
Start Time and End Time: The time window for trade execution (Default: 1 Jan 2014 - 1 Jan 2099)
Security Symbol: Ticker for analysis (Default: TLT)
█ PERFORMANCE OVERVIEW
Ideal Market Conditions: Strong trending environments
Potential Drawbacks: Whipsaws in range-bound markets
Backtesting results should be analyzed to optimize the MA Period and EMA Filter settings for specific instruments
