NASDAQ 100 Top 6 Average TrendTakes the average of the top 6 Nasdaq 100, AAPL, MSFT, GOOGL, AMZN, NVDA, META.. If the average is moving down the red indicator will show its a downward sellers market. If the average is moving up is an upward buyers market. Use the higher moving average to work with smaller time frames.
Moving Averages
Triple Trend Indicator [BigBeluga]Triple Trend Indicator is a versatile trend-following tool designed to help traders identify trend strength and potential pullback levels using a three-band system. Each band represents a varying degree of price deviation from the mean, providing progressively stronger trend signals.
🔵 Key Features:
Three Adaptive Bands:
The indicator dynamically calculates three bands (1, 2, and 3) based on moving averages (SMA, EMA, WMA) and ATR multipliers.
Bands are positioned below the price in an uptrend and above the price in a downtrend, offering clear trend direction visualization.
Signal System:
Signals are generated when price interacts with the bands:
Signal 1: Triggered when the price touches Band 1, indicating a minor pullback within the trend.
Signal 2: Triggered at Band 2, showing a stronger price deviation and trend confirmation.
Signal 3: Triggered at Band 3, representing the most significant price deviation and strongest trend signal.
The further the price deviates from the mean, the stronger the trend signal, with Signal 3 being the most robust.
Color-Coded Bands:
Bands dynamically change color based on the trend direction:
Green bands signify an uptrend.
Brown bands signify a downtrend.
Dynamic Trend Line Changes:
Dashed lines highlight trend changes, helping traders visualize key turning points in the market.
🔵 Usage:
Use the bands to identify trend direction and strength.
Monitor the signal system to assess the level of price deviation and potential pullback strength.
Combine Signal 1, 2, and 3 to confirm trend momentum:
Signal 1 suggests a weaker pullback and continuation.
Signal 2 indicates a stronger trend confirmation.
Signal 3 highlights the strongest momentum and potential exhaustion points.
Utilize the color-coded bands for an intuitive understanding of current market conditions.
The Triple Trend Indicator is an ideal tool for trend traders looking for structured signals and dynamic support and resistance levels to optimize entries and exits.
Refined Trend and Consolidation with MACD, RSI, OBV, and VolumeWe are implementing a trend analysis system using multiple technical indicators to determine the market state. We calculate two Simple Moving Averages (SMA 9 and SMA 21), the Relative Strength Index (RSI), the On-Balance Volume (OBV), and the MACD. Based on these indicators, we classify the market into three states: uptrend, downtrend, or consolidation. The script then changes the background color of the chart to visually represent the current market state: green for uptrend, red for downtrend, and yellow for consolidation. The transparency of the background is adjusted for a clear view of the price action.
The uptrend is identified when the short-term SMA (SMA 9) is above the long-term SMA (SMA 21), RSI is above 55 (indicating strong bullish momentum), OBV is rising, MACD line is above the signal line and zero, and volume is higher than the average.
The downtrend is recognized when the short-term SMA is below the long-term SMA, RSI is below 45 (indicating bearish momentum), OBV is falling, MACD line is below the signal line and zero, and volume exceeds the average.
Consolidation occurs when none of the uptrend or downtrend conditions are met, indicating range-bound movement. This is signified by the SMAs being close to each other, RSI near 50, OBV flat, MACD oscillating around zero, and volume either below average or neutral.
This provides a clear, visual representation of the market's current state by dynamically changing the chart's background color. The uptrend is shown with a green background, indicating a strong bullish market, while the downtrend is represented with a red background, signaling a bearish market. A yellow background marks consolidation, suggesting a period of sideways or range-bound movement with no clear direction. By using a combination of SMAs, RSI, OBV, MACD, and volume, the script helps traders quickly identify the prevailing market conditions, allowing them to make more informed decisions based on current trends and potential consolidations.
DrNon EMA5 Cross-Up EMA200 ATR Stop📌 EMA5 Cross-Up EMA200 Strategy with ATR Trailing Stop & Take-Profit
This TradingView strategy enters a long trade when the 5 EMA crosses above the 200 EMA, signaling an uptrend. It uses an ATR-based trailing stop-loss and exits at a predefined take-profit percentage.
How It Works
1. Entry Condition → A long position is triggered when the 5 EMA crosses above the 200 EMA.
2. Stop-Loss (ATR-Based Trailing Stop) → The stop price is dynamically set at Close - (ATR * Multiplier), adjusting as the price moves up.
3. Take-Profit → The strategy exits if the price reaches 5% above entry.
4. Exit Condition → The trade closes when either the ATR trailing stop or the take-profit target is hit.
Why Use This?
✅ Trend-Following – Catches strong uptrends with EMA crossover.
✅ Dynamic Stop-Loss – Uses ATR to adapt to market volatility.
✅ Automated Risk Management – Ensures systematic exits.
This strategy works well in trending markets but may require filters to avoid false signals in sideways conditions. Traders can adjust ATR multipliers and take-profit % for optimization. 🚀
WMA 15 Cross EMA 50 with Stop Loss and EntryExplanation of the Code:
Inputs:
wma_length: Length for the Weighted Moving Average (default: 15).
ema_length: Length for the Exponential Moving Average (default: 50).
stop_loss_percent: Percentage for the stop loss level (default: 1%).
Indicators:
ta.wma(close, wma_length): Calculates the Weighted Moving Average.
ta.ema(close, ema_length): Calculates the Exponential Moving Average.
Signals:
buy_signal: Generated when WMA crosses above EMA.
sell_signal: Generated when WMA crosses below EMA.
Stop Loss and Entry Price:
For a buy signal, the stop loss is calculated as entry_price * (1 - stop_loss_percent).
For a sell signal, the stop loss is calculated as entry_price * (1 + stop_loss_percent).
The entry price is the closing price at the time of the signal.
Plotting:
WMA and EMA are plotted on the chart.
Buy and sell signals are marked with labels.
Stop loss and entry price levels are plotted as horizontal lines.
Alerts:
Alerts are triggered when buy or sell signals are generated.
Scalper Strategy 15M V3This script combines two popular indicators, MACD and RSI, to provide more accurate trading signals. Additionally, it displays Support & Resistance levels based on the last 50 candles, helping traders identify potential price reversal areas.
Intraday & Swing traders looking to optimize their entry & exit points
TradingView users seeking stronger confirmation in trading signals.
Traders who incorporate support & resistance into their strategies.
How to Use:
1. Adjust the MACD & RSI parameters to match your strategy.
2. Use Support & Resistance levels to spot potential price reversals.
3. Watch for Buy/Sell signals appearing on the chart.
Always use proper risk management. No strategy is perfect, so backtest before using it on a live account.
Hammer & Inverted Hammer DetectorThis Pine Script indicator detects Hammer and Inverted Hammer candlestick patterns based on price action and VWAP (Volume Weighted Average Price). It evaluates the relationship between the current and previous candles, checking shadow lengths and body size to confirm the pattern. If a Hammer is identified, a green upward label appears below the candle, while an Inverted Hammer is marked with a red downward label above the candle.
Emas TriggerHere's the description for your multi-timeframe EMA indicator:
This script is a custom indicator for TradingView that plots four different Exponential Moving Averages (EMAs) on the chart, each calculated from different timeframes: Hourly, Daily, Weekly, and Monthly. These EMAs help identify trends across multiple time horizons, making it easier to spot potential support and resistance levels.
Key Features:
- Hourly EMA (calculated using a 1-hour timeframe) - Shows short-term price movements and immediate trend direction
- Daily EMA (calculated using a daily timeframe) - Helps identify medium-term trends and potential support/resistance levels
- Weekly EMA (calculated using a weekly timeframe) - Provides insight into broader market trends and major support/resistance zones
- Monthly EMA (calculated using a monthly timeframe) - Highlights long-term market direction and significant price levels
Each EMA is displayed using a distinct color and plotted with a step line style for clear visibility:
- Hourly EMA: Green
- Daily EMA: Blue
- Weekly EMA: Dark Blue (#3127e3)
- Monthly EMA: Pink (#f352ff)
The indicator includes customizable input parameters for each timeframe's EMA length, allowing traders to adjust the sensitivity of each moving average according to their trading strategy. This versatility makes it useful for both swing traders and position traders who need to analyze market structure across multiple timeframes.
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts📖 Overview
Johnny's Machine Learning Moving Average (MLMA) w/ Trend Alerts is a powerful adaptive moving average indicator designed to capture market trends dynamically. Unlike traditional moving averages (e.g., SMA, EMA, WMA), this indicator incorporates volatility-based trend detection, Bollinger Bands, ADX, and RSI, offering a comprehensive view of market conditions.
The MLMA is "machine learning-inspired" because it adapts dynamically to market conditions using ATR-based windowing and integrates multiple trend strength indicators (ADX, RSI, and volatility bands) to provide an intelligent moving average calculation that learns from recent price action rather than being static.
🛠 How It Works
1️⃣ Adaptive Moving Average Selection
The MLMA automatically selects one of four different moving averages:
📊 EMA (Exponential Moving Average) – Reacts quickly to price changes.
🔵 HMA (Hull Moving Average) – Smooth and fast, reducing lag.
🟡 WMA (Weighted Moving Average) – Gives recent prices more importance.
🔴 VWAP (Volume Weighted Average Price) – Accounts for volume impact.
The user can select which moving average type to use, making the indicator customizable based on their strategy.
2️⃣ Dynamic Trend Detection
ATR-Based Adaptive Window 📏
The Average True Range (ATR) determines the window size dynamically.
When volatility is high, the moving average window expands, making the MLMA more stable.
When volatility is low, the window shrinks, making the MLMA more responsive.
Trend Strength Filters 📊
ADX (Average Directional Index) > 25 → Indicates a strong trend.
RSI (Relative Strength Index) > 70 or < 30 → Identifies overbought/oversold conditions.
Price Position Relative to Upper/Lower Bands → Determines bullish vs. bearish momentum.
3️⃣ Volatility Bands & Dynamic Support/Resistance
Bollinger Bands (BB) 📉
Uses standard deviation-based bands around the MLMA to detect overbought and oversold zones.
Upper Band = Resistance, Lower Band = Support.
Helps traders identify breakout potential.
Adaptive Trend Bands 🔵🔴
The MLMA has built-in trend envelopes.
When price breaks the upper band, bullish momentum is confirmed.
When price breaks the lower band, bearish momentum is confirmed.
4️⃣ Visual Enhancements
Dynamic Gradient Fills 🌈
The trend strength (ADX-based) determines the gradient intensity.
Stronger trends = More vivid colors.
Weaker trends = Lighter colors.
Trend Reversal Arrows 🔄
🔼 Green Up Arrow: Bullish reversal signal.
🔽 Red Down Arrow: Bearish reversal signal.
Trend Table Overlay 🖥
Displays ADX, RSI, and Trend State dynamically on the chart.
📢 Trading Signals & How to Use It
1️⃣ Bullish Signals 📈
✅ Conditions for a Long (Buy) Trade:
The MLMA crosses above the lower band.
The ADX is above 25 (confirming trend strength).
RSI is above 55, indicating positive momentum.
Green trend reversal arrow appears (confirmation of a bullish reversal).
🔹 How to Trade It:
Enter a long trade when the MLMA turns bullish.
Set stop-loss below the lower Bollinger Band.
Target previous resistance levels or use the upper band as take-profit.
2️⃣ Bearish Signals 📉
✅ Conditions for a Short (Sell) Trade:
The MLMA crosses below the upper band.
The ADX is above 25 (confirming trend strength).
RSI is below 45, indicating bearish pressure.
Red trend reversal arrow appears (confirmation of a bearish reversal).
🔹 How to Trade It:
Enter a short trade when the MLMA turns bearish.
Set stop-loss above the upper Bollinger Band.
Target the lower band as take-profit.
💡 What Makes This a Machine Learning Moving Average?
📍 1️⃣ Adaptive & Self-Tuning
Unlike static moving averages that rely on fixed parameters, this MLMA automatically adjusts its sensitivity to market conditions using:
ATR-based dynamic windowing 📏 (Expands/contracts based on volatility).
Adaptive smoothing using EMA, HMA, WMA, or VWAP 📊.
Multi-indicator confirmation (ADX, RSI, Volatility Bands) 🏆.
📍 2️⃣ Intelligent Trend Confirmation
The MLMA "learns" from recent price movements instead of blindly following a fixed-length average.
It incorporates ADX & RSI trend filtering to reduce noise & false signals.
📍 3️⃣ Dynamic Color-Coding for Trend Strength
Strong trends trigger more vivid colors, mimicking confidence levels in machine learning models.
Weaker trends appear faded, suggesting uncertainty.
🎯 Why Use the MLMA?
✅ Pros
✔ Combines multiple trend indicators (MA, ADX, RSI, BB).
✔ Automatically adjusts to market conditions.
✔ Filters out weak trends, making it more reliable.
✔ Visually intuitive (gradient colors & reversal arrows).
✔ Works across all timeframes and assets.
⚠️ Cons
❌ Not a standalone strategy → Best used with volume confirmation or candlestick analysis.
❌ Can lag slightly in fast-moving markets (due to smoothing).
Multi-Indicator Trading StrategyKey Features of the Script:
Moving Averages (MA):
Uses a fast and slow SMA to identify trends.
Generates buy/sell signals based on crossovers.
Relative Strength Index (RSI):
Identifies overbought and oversold conditions.
Filters trade to avoid entering during extreme conditions.
MACD:
Confirms momentum with MACD line and signal line crossovers.
Risk Management:
Optional stop loss and take profit levels.
Customizable percentages for risk management.
Backtesting:
The script is designed to backtest historical data.
Trades are executed based on the defined conditions.
200MA x3 Investor Tool with Undervaluation LineThis is the 200 day moving average with a 3x take profit line and a 2x undervalued line. Great for pretty much all volitile assets.
Instantaneous Trendline with Cloud Instantaneous Trendline with Cloud
Introduction & History
The Instantaneous Trendline was introduced by John Ehlers, a well-known figure in the field of technical analysis, particularly for applying digital signal processing concepts to financial markets. Ehlers aimed to create an indicator that reacts to market price changes more quickly than traditional moving averages, yet remains smooth enough to avoid excessive noise. By incorporating concepts from digital filtering, he devised a formula that calculates a trendline with minimal lag—hence the term “instantaneous.”
Purpose
The primary purpose of the Instantaneous Trendline with Cloud is to provide traders and analysts with a responsive, smoothed line that closely follows market price movements. Additionally, this script enhances the visual cues by adding a cloud fill to highlight bullish and bearish zones:
Trend Identification
The ITL (Instantaneous Trendline) is plotted alongside the price. When price consistently stays above the ITL, it may signal an uptrend. Conversely, when price dips below the ITL, it can suggest a downtrend.
Signal Generation
Crossover points between the price and the ITL can serve as potential entry or exit signals. A bullish crossover (price moving above the ITL) often indicates the start of upward momentum, while a bearish crossover (price dropping below the ITL) may point to downward momentum.
Noise Reduction
By applying digital filtering concepts and smoothing through the alpha (smoothing coefficient), the ITL reduces noise while still responding relatively quickly to price changes. Traders can adjust alpha to make the trendline more reactive (higher alpha) or smoother (lower alpha).
Clarity via Cloud Fill
A color-coded cloud between the price and the ITL provides an at-a-glance view of market bias. The green cloud highlights potentially bullish phases, while the red cloud highlights potentially bearish phases.
Experiment with the alpha value (commonly between 0.2 and 0.3) to find a balance that suits your preference for responsiveness versus smoothness.
This indicator implements John Ehlers’ Instantaneous Trendline concept and plots a smoothed trendline (ITL) alongside the price. The trendline is controlled by a user-defined smoothing coefficient (alpha). A higher alpha makes the trendline respond more quickly to price changes, while a lower alpha produces a smoother line.
A color-filled cloud helps traders identify bullish and bearish conditions:
Green cloud if the price is above the ITL (bullish potential).
Red cloud if the price is below the ITL (bearish potential).
Key Benefits
Trend Visualization: Quickly see if the market is in an uptrend or downtrend based on the position of the price relative to the trendline.
Crossover Signals: Identify potential shifts in trend or momentum when the price crosses the ITL.
Customizable Sensitivity: Adjust the alpha parameter to make the ITL more or less reactive to price moves. Use this tool to better visualize short-term trend changes and potential entry/exit signals in conjunction with other technical analysis methods.
IFR2 e Cruzamento de Média v1.4 podendo selecionar uma.Strategy for IFR2 and Moving Average crossovers
Strategy for backtesting IFR2 or moving average crossovers
At the exit of the trade, a box appears stating: the reason for the exit:
Green for Take Profit (TP)
Red for Stop Loss (ST)
BLUE for the number of IFR2 candles reached (CD)
PURPLE for Crossing Averages (CZ)
in this box you can also enter the number of tkts and the percentage of the trade taken and the trade number TR = XX
For IFR trades, you can select the IFR2 PERIOD and level and the number of candles to close the trade if it is not closed by TP or LOSS.
When you select the moving average crossover entry, you can choose the period of the fast average and the slow average, in both cases you can select a mm as a filter for the trade entry and the period of this mm.
You can also choose a percentage for TAke Profit and Sop Loss.
We can also select a date to start the Back Test and an end date.
Translated with www.DeepL.com (free version)
Explicação em português:
Estratégia para IFR2 e cruzamento de Media Movel
Estratégia para backTest de IFR2 ou Cruzamento da média Movel
Na saída da operação mostra uma caixa informando: o motivo da saída:
Verde para Take Profit (TP)
Vermelho para Stop Loss (ST)
AZUL para número de candles atingido IFR2 (CD)
Roxo para Cruzamento de Médias (CZ)
nesta caixa ainda informa o numero de tkts e o porcentual da operação realizada e o numero do trade TR = XX
Nas operações por IFR podemos selecionar o PERIODO do e o nivel do IFR2 e a quantidade de candles para fechar a operação se não for fechado por TP ou LOSS.
Quando selecionado a entrada por cruzamento de media movel, podemos escolher o período da media rápida e da média lenta, em ambos os casos podemos selecionar uma mm como filtro para entrada da operação e o período desta mm.
Podemos ainda escolher um porcentual para TAke Profit e Sop Loss.
E ainda selecionar uma data para iniciar o Back Test e uma data final.
TOTAL3/BTC This Pine Script™ code, named "TOTAL3/BTC with Arrow," is designed for cryptocurrency analysis on TradingView.
This script essentially provides a visual tool for traders to gauge when altcoins might be gaining or losing ground relative to Bitcoin through moving average analysis and color-coded trend indication.
Intention was to help the community with a script based on classic TA only.
Use it with SASDv2r indicator.
Feel free to make it better. If you did so, please let me know.
Main elements:
Data Fetching: It retrieves market cap data for all cryptocurrencies excluding Bitcoin and Ethereum (TOTAL3) and for Bitcoin (BTC).
Ratio Calculation: The script calculates the ratio of TOTAL3 to BTC market caps, which indicates how altcoins (excluding ETH) are performing relative to Bitcoin.
Plotting the Ratio: This ratio is plotted on the chart with a blue line, allowing traders to see the relative performance visually.
Moving Averages: Two Simple Moving Averages (SMA) are calculated for this ratio, one for 20 periods (ma20) and another for 50 periods (ma50), though these are not plotted in the current version of the code.
Reference Lines: Horizontal lines are added at ratios of 0.3 and 0.8 to serve as visual equilibrium points or thresholds for analysis.
Complex Moving Average: The script uses constants (len, len2, cc, smoothe) from another script, suggesting it's adapting or simplifying another's logic for multi-timeframe analysis.
Average Calculation: Two SMAs (avg and avg2) are computed using the constants defined, focusing on different lengths for trend analysis.
Direction Determination: It checks if the moving average is trending up or down by comparing the current value with its value smoothe bars earlier.
Color Coding: The color of the plotted moving average changes based on its direction (lime for up, red for down, aqua if no clear direction), aiding in quick visual interpretation of trends.
Plotting: Finally, the script plots this multi-timeframe moving average with a dynamic color to reflect the current market trend of the TOTAL3/BTC ratio, with a thicker line for visibility.
SCAE MJ VolSpikeSignal appendix :
1) B = Buy
2) S = Sell
3) STS = Stanby To Sell
4) STB = Stanby To Buy
5) BPB = Buy on PullBack
Only Buy when Signal B (and BPB) appeared above EMA9 and near/above EMA200 with a spike buy volume (Green Volume).
Only Sell when Signal S (or STS) appeared with a spike sell volume or candlestick closed below EMA9 (somehow Signal S don't appeared when price crossed below EMA9).
EMA Crossover Strategy - High Reward, Low Loss Trading Indicator🔹 Created by Aniketsinh
🚀 About This Strategy:
The EMA Crossover Strategy is designed for traders who prefer fewer trades with higher profit potential. It focuses on catching strong trends while minimizing unnecessary losses. Even if only 4 out of 10 trades succeed, the risk-reward ratio ensures more profits than losses.
📌 Key Features:
✅ Uses 50 EMA & 200 EMA for trend confirmation
✅ RSI filtering for momentum-based entries
✅ Volume confirmation to avoid false signals
✅ Stop Loss & Take Profit with a 3x reward-to-risk ratio
✅ Works well on crypto, forex, and stocks
📈 How It Works:
BUY Signal: 50 EMA crosses above 200 EMA, RSI > 50, and volume is high.
SELL Signal: 50 EMA crosses below 200 EMA, RSI < 50, and volume is high.
Stop Loss & Take Profit: Stop loss below recent low, and take profit at 3x risk.
🔍 Best Timeframes: Works well on higher timeframes like 1H, 4H, Daily for better accuracy.
⚠️ Risk Disclaimer:
No strategy is 100% perfect. Always use proper risk management and backtest before live trading.
💡 Try It Now & Optimize for Your Trading Style!
Let me know your feedback! 🚀
Alinachi TrendI have Created Supertrend, Bollinger Bands, EMA with Smoothing Indicator
for Trading View you can use multiple indicators. only you need to be set indicator settings and use it.
we are trying to add more useful indicators in our code
Moving Average Shaded with Angle2 moving averages which you can edit in the settings. Selections are SMA,EMA or HMA and of course how many periods are available. In addition to the moving averages you have a color coded Cloud showing bullish or bearish trends. Lastly there are 3 print tables Top Right, Bottom Right and Middle Right. Top Right is the angle of the fast moving average. Bottom Right is the angle of the slow moving average and Middle right is an average of the 2. These are also color coded green numbers are bullish and red numbers are bearish. In the settings are threshold fields which allow increasing angle thresholds to give grey numbers if the angles are below these thresholds allowing for numerically quantifying sideways markets vs strong trending markets.
Price Imbalance as Consecutive Levels of AveragesOverview
The Price Imbalance as Consecutive Levels of Averages indicator is an advanced technical analysis tool designed to identify and visualize price imbalances in financial markets. Unlike traditional moving average (MA) indicators that update continuously with each new price bar, this indicator employs moving averages calculated over consecutive, non-overlapping historical windows. This unique approach leverages comparative historical data to provide deeper insights into trend strength and potential reversals, offering traders a more nuanced understanding of market dynamics and reducing the likelihood of false signals or fakeouts.
Key Features
Consecutive Rolling Moving Averages: Utilizes three distinct simple moving averages (SMAs) calculated over consecutive, non-overlapping windows to capture different historical segments of price data.
Dynamic Color-Coded Visualization: SMA lines change color and style based on the relationship between the averages, highlighting both extreme and normal market conditions.
Median and Secondary Median Lines: Provides additional layers of price distribution insight during normal trend conditions through the plotting of primary and secondary median lines.
Fakeout Prevention: Filters out short-term volatility and sharp price movements by requiring consistent historical alignment of multiple moving averages.
Customizable Parameters: Offers flexibility to adjust SMA window lengths and line extensions to align with various trading strategies and timeframes.
Real-Time Updates with Historical Context: Continuously recalculates and updates SMA lines based on comparative historical windows, ensuring that the indicator reflects both current and past market conditions.
Inputs & Settings
Rolling Window Lengths:
Window 1 Length (Most Recent) Bars: Number of bars used to calculate the most recent SMA. (Default: 5, Range: 2–300)
Window 2 Length (Preceding) Bars: Number of bars for the second SMA, shifted by Window 1. (Default: 8, Range: 2–300)
Window 3 Length (Third Rolling) Bars: Number of bars for the third SMA, shifted by the combined lengths of Window 1 and Window 2. (Default: 13, Range: 2–300)
Horizontal Line Extension:
Horizontal Line Extension (Bars): Determines how far each SMA line extends horizontally on the chart. (Default: 10 bars, Range: 1–100)
Functionality and Theory
1. Calculating Consecutive Simple Moving Averages (SMAs):
The indicator calculates three SMAs, each based on distinct and consecutive historical windows of price data. This approach contrasts with traditional MAs that continuously update with each new price bar, offering a static view of past trends rather than an ongoing one.
Mean1 (SMA1): Calculated over the most recent Window 1 Length bars. Represents the short-term trend.
Mean1=∑i=1N1CloseiN1
Mean1=N1∑i=1N1Closei
Where N1N1 is the length of Window 1.
Mean2 (SMA2): Calculated over the preceding Window 2 Length bars, shifted back by Window 1 Length bars. Represents the medium-term trend.
\text{Mean2} = \frac{\sum_{i=1}^{N_2} \text{Close}_{i + N_1}}}{N_2}
Where N2N2 is the length of Window 2.
Mean3 (SMA3): Calculated over the third rolling Window 3 Length bars, shifted back by the combined lengths of Window 1 and Window 2 bars. Represents the long-term trend.
\text{Mean3} = \frac{\sum_{i=1}^{N_3} \text{Close}_{i + N_1 + N_2}}}{N_3}
Where N3N3 is the length of Window 3.
2. Determining Market Conditions:
The relationship between the three SMAs categorizes the market condition into either extreme or normal states, enabling traders to quickly assess trend strength and potential reversals.
Extreme Bullish:
Mean3Mean2>Mean1
Mean3>Mean2>Mean1
Indicates a strong and sustained downward trend. SMA lines are colored purple and styled as dashed lines.
Normal Bullish:
Mean1>Mean2andnot in extreme bullish condition
Mean1>Mean2andnot in extreme bullish condition
Indicates a standard upward trend. SMA lines are colored green and styled as solid lines.
Normal Bearish:
Mean1Mean2>Mean1
Mean3>Mean2>Mean1
Normal Bullish:
Mean1>Mean2andnot in Extreme Bullish
Mean1>Mean2andnot in Extreme Bullish
Normal Bearish:
Mean1 Mean2 > Mean3
Visualization: All three SMAs are displayed as gold dashed lines.
Median Lines: Not displayed to maintain chart clarity.
Interpretation: Indicates a strong and sustained upward trend. Traders may consider entering long positions, confident in the trend's strength without the distraction of additional lines.
2. Normal Bullish Condition:
SMAs Alignment: Mean1 > Mean2 (not in extreme condition)
Visualization: Mean1 and Mean2 are green solid lines; Mean3 is gray.
Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians.
Interpretation: Confirms an upward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively.
3. Extreme Bearish Condition:
SMAs Alignment: Mean3 > Mean2 > Mean1
Visualization: All three SMAs are displayed as purple dashed lines.
Median Lines: Not displayed to maintain chart clarity.
Interpretation: Indicates a strong and sustained downward trend. Traders may consider entering short positions, confident in the trend's strength without the distraction of additional lines.
4. Normal Bearish Condition:
SMAs Alignment: Mean1 < Mean2 (not in extreme condition)
Visualization: Mean1 and Mean2 are red solid lines; Mean3 is gray.
Median Lines: A thin blue dotted median line is plotted between Mean1 and Mean2, with two additional thin blue dashed lines as secondary medians.
Interpretation: Confirms a downward trend while providing deeper insights into price distribution. Traders can use the median and secondary median lines to identify optimal entry points and manage risk more effectively.
Customization and Flexibility
The Price Imbalance as Consecutive Levels of Averages indicator is highly adaptable, allowing traders to tailor it to their specific trading styles and market conditions through adjustable parameters:
SMA Window Lengths: Modify the lengths of Window 1, Window 2, and Window 3 to capture different historical trend segments, whether focusing on short-term fluctuations or long-term movements.
Line Extension: Adjust the horizontal extension of SMA and median lines to align with different trading horizons and chart preferences.
Color and Style Preferences: While default colors and styles are optimized for clarity, traders can customize these elements to match their personal chart aesthetics and enhance visual differentiation.
This flexibility ensures that the indicator remains versatile and applicable across various markets, asset classes, and trading strategies, providing valuable insights tailored to individual trading needs.
Conclusion
The Price Imbalance as Consecutive Levels of Averages indicator offers a comprehensive and innovative approach to analyzing price trends and imbalances within financial markets. By utilizing three consecutive, non-overlapping SMAs and incorporating median lines during normal trend conditions, the indicator provides clear and actionable insights into trend strength and price distribution. Its unique design leverages comparative historical data, distinguishing it from traditional moving averages and enhancing its utility in identifying genuine market movements while minimizing false signals. This dynamic and customizable tool empowers traders to refine their technical analysis, optimize their trading strategies, and navigate the markets with greater confidence and precision.
Power Trend [MacAlgo]Description:
The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes.
Key Features:
Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection.
Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends.
Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions.
Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements.
Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences.
Highlighting: Highlights trending bars for easy visualization of market conditions.
Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time.
How it Works:
1. ATR-Based Trend Calculation:
ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe.
Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines.
2. Moving Averages:
EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends.
AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference.
3. Volume Analysis:
Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength.
Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements.
4. Momentum Indicators:
RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength.
5. Signal Generation:
Standard Signals: Basic buy and sell signals based on trend crossovers.
Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades.
Customization Options:
Tailor the Power Trend Indicator to your specific trading needs with the following settings:
ATR Period: Set the period for ATR calculation (default: 8).
ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0).
Source: Choose the price source (e.g., HL2, Close) for calculations.
Change ATR Calculation Method: Toggle between different ATR calculation methods.
Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart.
Highlighting: Turn on or off the bar highlighting feature.
Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set
the indicator's timeframe.
Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes).
Visual Components:
Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral).
Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line.
Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals.
Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors.
Highlighting: Transparent overlays highlight trending areas to enhance visual clarity.
Alerts:
Stay informed with customizable alerts that notify you of important market movements:
SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated.
Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions.
Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa.
How to Use:
Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView.
Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing.
Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend.
Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points.
Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities.
Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience.
Important Notes:
Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy.
Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary.
Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital.
Disclaimer:
This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
WSGTA IndicatorsThis set of indicators includes all of the items used in the WSGTA trading system. It will have the vwap added eventually, but currently holds the following EMA's -- 9, 15, 30, 65, 200; as well as the previous day/week HLC along with pivots.
SCALPING STRATEGY//@version=5
strategy("High Probability Scalping Strategy", overlay=true)
// Indicators
emaFast = ta.ema(close, 9)
emaSlow = ta.ema(close, 21)
vwap = ta.vwap(close)
=
macdLine = ta.ema(close, 12) - ta.ema(close, 26)
signalLine = ta.ema(macdLine, 9)
bbMiddle = ta.sma(close, 20)
bbUpper = bbMiddle + (ta.stdev(close, 20) * 2)
bbLower = bbMiddle - (ta.stdev(close, 20) * 2)
// Buy Entry Conditions
buyCondition = ta.crossover(emaFast, emaSlow) and close > vwap and rsiValue > rsiSignal and macdLine > signalLine
if (buyCondition)
strategy.entry("Long", strategy.long)
// Sell Entry Conditions
sellCondition = ta.crossunder(emaFast, emaSlow) and close < vwap and rsiValue < rsiSignal and macdLine < signalLine
if (sellCondition)
strategy.entry("Short", strategy.short)
// Stop Loss & Take Profit
strategy.exit("Exit Long", from_entry="Long", loss=10, profit=20)
strategy.exit("Exit Short", from_entry="Short", loss=10, profit=20)
