9EMA vs 20EMA Trend IndicatorTrend indicator using 9EMA and 20EMA. When 9EMA is above 20EMA the trend is bullish and the channel between the two turns gold. 20EMA above 9EMA and the channel turns blue. This is helpful in recognizing the nature of the trend in price action
Трендовый анализ
EMA 9/20/50/200This script is an indicator that calculates and displays four Exponential Moving Averages (EMAs): EMA 9, EMA 20, EMA 50, and EMA 200. It helps traders identify trends and key price levels by visualizing EMAs across different timeframes.
Buy Signal with SMA and Stoch RSIBUY signal when sma 21 is above the 55.
Stochastic rsi is below 20.
The stochastic rsi crosses to form buy signal.
Thai Flag EMA (10/20/50/100/200)"Experience the beauty of technical analysis with a creative twist! 🇹🇭 This chart of the SET Index transforms moving averages into the iconic Thai flag, blending art and market insights like never before. A true celebration of Thailand’s spirit and the dynamic world of trading. If you love seeing markets through a unique lens, don't forget to like, share, and follow for more innovative takes on technical analysis!"
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
ADX, RSI, & TSI utilized as ART [by KeremErtem]The "ADX, RSI, & TSI utilized as ART" script is an advanced technical analysis tool designed by Kerem Ertem to help traders identify trend direction, strength, and potential reversals. It integrates the Average Directional Index (ADX), Relative Strength Index (RSI), and True Strength Index (TSI) into a cohesive, user-friendly indicator known as ART (Adaptive Relative Trend) .
What it does:
Trend Detection: Utilizes ADX to identify the strength and direction of trends.
Momentum Analysis: Uses RSI to gauge the speed and change of price movements.
Signal Smoothing: Incorporates TSI to reduce noise and provide clearer signals.
How it works:
Input Settings: Customize the source (hlc3), signal period (l1), and lookback range (l2) to tailor the indicator to your trading strategy.
Angle Calculation (ACI): The script calculates the angle of price movements using a custom function, which combines the lowest and highest prices with moving averages to create a smoother representation of trend angles.
Weighted Average: The ACI function is applied to the source price to derive a weighted average, which serves as the foundation for further calculations.
RSI Integration: The script calculates the RSI based on the weighted average price and further refines it using the ACI function to enhance signal accuracy.
ADX Calculation: ADX values are computed and adjusted using the ACI function to provide a clearer indication of trend strength and direction.
ART Indicator: The combined results of the RSI and ADX calculations form the ART indicator, which is plotted alongside trend lines and bands for comprehensive trend analysis.
Bands and Trend Lines: The script plots upper, lower, and center bands based on standard deviation and moving averages, providing visual cues for potential support and resistance levels.
How to use it:
Customization: Adjust the signal period, lookback range, RSI length, and ADX settings to fit your trading preferences.
Interpretation: Green ART signal lines indicate bullish trends, while red lines indicate bearish trends. The trend line color changes from cyan to magenta based on the trend direction.
Bands: Use the upper and lower bands as potential entry and exit points, with the center line acting as a trend confirmation.
This script offers a comprehensive approach to trend and momentum analysis, making it a valuable tool for traders seeking to enhance their trading strategies with advanced technical indicators.
Momentum Aggregator to identify Pivot PointsThis indicator takes into account various indicators like RSI, MACD etc.. to identify confluence and divergence which will help to identify pivot points in price.
Legend:
Green candles identify when there is a confluence of momentum to the upside
Red candle identify when there is a confluence of momentum to the downside
Note: These colors do not identify a positive or negative change in price for the candle. The candle outline identifies this
White candles identify when there is a divergence in momentum often identifying a pivot point for price
Yellow candles identify extreme exhaustion often indicating a good time to anticipate a reversal
AB Market Pulse LETF Strat V3 TestNot financial advice. Entry and exits now defined by the rise/fall from recent lows/highs rather than the moving average change.
Signals from Pawel Signals from Pawel is a trend-following indicator that generates buy and sell signals aligned with the prevailing trend, highlighting the principle: "Trend is your friend." Signals are triggered after a trend change is confirmed, using EMA crossovers (100 and 200 periods) as key indicators. When EMAs are widely separated, it indicates stronger trends with higher profit potential. Conversely, as EMAs converge, the trend weakens, increasing the likelihood of smaller gains or stop-loss triggers. For best results, prioritize signals shortly after a trend reversal, when EMA separation is more pronounced.
This indicator is optimized for the 5-minute timeframe on XAU/USD but may also be effective for other currency pairs and timeframes.
ICT Strategy with Historical BacktestЛогика входа в сделки:
Теперь условия для входа в Лонг и Шорт проверяются корректно. Мы учитываем, что пробой на старшем таймфрейме (1H или выше) и наличие FVG важны для принятия решения о входе в сделку.
Отображение FVG:
Прямоугольники для FVG теперь правильно отображаются (если активирован флаг show_fvg_boxes). Для бычьего FVG прямоугольники будут зелеными, для медвежьего FVG — красными.
Метки для прогнозируемых сделок:
Добавлены метки "Potential Long" и "Potential Short" для визуализации на графике в точках потенциального входа в сделки.
Создание сделок на истории:
Стратегия теперь должна корректно создавать сделки на исторических данных, учитывая условия FVG и BOS.
Combined Indicator (sdtzym)//@version=5
indicator("Combined Indicator", "LuxAlgo Combined", overlay=true)
//-----------------------------------------------------------------------------//
// Inputs
//-----------------------------------------------------------------------------//
// Trendlines with Breaks Inputs
length = input.int(14, 'Swing Detection Lookback')
mult = input.float(1., 'Slope', minval = 0, step = .1)
calcMethod = input.string('Atr', 'Slope Calculation Method', options = )
backpaint = input(true, tooltip = 'Backpainting offset displayed elements in the past. Disable backpainting to see real-time information returned by the indicator.')
upCss = input.color(color.teal, 'Up Trendline Color', group = 'Style')
dnCss = input.color(color.red, 'Down Trendline Color', group = 'Style')
showExt = input(true, 'Show Extended Lines')
// TRAMA Inputs
trama_length = input.int(99, 'TRAMA Length')
trama_src = input(close, 'TRAMA Source')
// LinReg Candles Inputs
signal_length = input.int(11, title="Signal Smoothing")
sma_signal = input.bool(true, title="Simple MA (Signal Line)")
lin_reg = input.bool(true, title="Lin Reg")
linreg_length = input.int(11, title="Linear Regression Length")
//-----------------------------------------------------------------------------//
// Calculations for Trendlines with Breaks
//-----------------------------------------------------------------------------//
var upper = 0.
var lower = 0.
var slope_ph = 0.
var slope_pl = 0.
var offset = backpaint ? length : 0
n = bar_index
src = close
ph = ta.pivothigh(length, length)
pl = ta.pivotlow(length, length)
slope = switch calcMethod
'Atr' => ta.atr(length) / length * mult
'Stdev' => ta.stdev(src,length) / length * mult
'Linreg' => math.abs(ta.sma(src * n, length) - ta.sma(src, length) * ta.sma(n, length)) / ta.variance(n, length) / 2 * mult
slope_ph := ph ? slope : slope_ph
slope_pl := pl ? slope : slope_pl
upper := ph ? ph : upper - slope_ph
lower := pl ? pl : lower + slope_pl
var upos = 0
var dnos = 0
upos := ph ? 0 : close > upper - slope_ph * length ? 1 : upos
dnos := pl ? 0 : close < lower + slope_pl * length ? 1 : dnos
var uptl = line.new(na,na,na,na, color = upCss, style = line.style_dashed, extend = extend.right)
var dntl = line.new(na,na,na,na, color = dnCss, style = line.style_dashed, extend = extend.right)
if ph and showExt
uptl.set_xy1(n-offset, backpaint ? ph : upper - slope_ph * length)
uptl.set_xy2(n-offset+1, backpaint ? ph - slope : upper - slope_ph * (length+1))
if pl and showExt
dntl.set_xy1(n-offset, backpaint ? pl : lower + slope_pl * length)
dntl.set_xy2(n-offset+1, backpaint ? pl + slope : lower + slope_pl * (length+1))
plot(backpaint ? upper : upper - slope_ph * length, 'Upper', color = ph ? na : upCss, offset = -offset)
plot(backpaint ? lower : lower + slope_pl * length, 'Lower', color = pl ? na : dnCss, offset = -offset)
plotshape(upos > upos ? low : na, "Upper Break", shape.labelup, location.absolute, upCss, text = "B", textcolor = color.white, size = size.tiny)
plotshape(dnos > dnos ? high : na, "Lower Break", shape.labeldown, location.absolute, dnCss, text = "B", textcolor = color.white, size = size.tiny)
//-----------------------------------------------------------------------------//
// Calculations for TRAMA
//-----------------------------------------------------------------------------//
trama_ama = 0.
hh = math.max(math.sign(ta.change(ta.highest(trama_length))), 0)
ll = math.max(math.sign(ta.change(ta.lowest(trama_length)) * -1), 0)
tc = math.pow(ta.sma(hh or ll ? 1 : 0, trama_length), 2)
trama_ama := na(trama_ama ) ? trama_src : trama_ama + tc * (trama_src - trama_ama )
plot(trama_ama, "TRAMA", color=color.new(color.red, 0), linewidth=2)
//-----------------------------------------------------------------------------//
// Calculations for LinReg Candles
//-----------------------------------------------------------------------------//
bopen = lin_reg ? ta.linreg(open, linreg_length, 0) : open
bhigh = lin_reg ? ta.linreg(high, linreg_length, 0) : high
blow = lin_reg ? ta.linreg(low, linreg_length, 0) : low
bclose = lin_reg ? ta.linreg(close, linreg_length, 0) : close
r = bopen < bclose
signal = sma_signal ? ta.sma(bclose, signal_length) : ta.ema(bclose, signal_length)
plotcandle(r ? bopen : na, r ? bhigh : na, r ? blow: na, r ? bclose : na, title="LinReg Candles", color=color.green, wickcolor=color.green, bordercolor=color.green)
plotcandle(r ? na : bopen, r ? na : bhigh, r ? na : blow, r ? na : bclose, title="LinReg Candles", color=color.red, wickcolor=color.red, bordercolor=color.red)
plot(signal, color=color.white)
[volfgang] Pivot Levels (Open, Close, High, Low)This script provides a clear and consistent way to track key price levels from Weekly and Daily bars, directly on your current chart interval.
The default colours are;
Today & This Week Open = White
Yesterday & Previous Week Open = Cream
Yesterday's High = Red
Yesterday's Low = Green
Weekly Pivots are 2px, and Daily Pivots are 1px.
Instead of requiring manual referencing of daily or weekly charts, these significant levels are automatically drawn and updated in real time, extending to the right as new bars form.
It adds value by helping traders quickly identify potential support/resistance zones and compare intraday price action with higher-timeframe pivots. This approach can aid in scalping, day trading, or swing trading strategies that rely on past price levels for trade entries, exits, or stop loss placement.
Daily Pivots Displayed Intraday
The script imports the previous day’s High, Low, Open, and Close and draws lines on the current chart, so you can see exactly where those levels lie on any intraday timeframe. You can easily change the colour of these lines in the menu.
Instead of switching between multiple charts for daily references, you can keep an intraday chart open and still watch how price behaves around these important daily pivots.
Weekly Pivots for Broader Context
In addition to daily levels, it also shows the previous week’s Open and Close. This feature helps traders who want to maintain a broader perspective and gauge the market’s weekly trend or bias while remaining on lower timeframes.
Automatic Line & Label Management
Each new trading day triggers a “session change” in the code, prompting the script to delete old lines and labels for daily levels. This keeps your chart from getting cluttered with outdated lines.
Weekly lines and labels follow the same approach, ensuring only the most recent weekly levels are highlighted.
Real-Time Extension
Lines are continuously extended to the right as new bars print, ensuring that you always have an updated view of your key price levels without any manual adjustments.
On the last bar, the script shifts to a time-based coordinate system for seamless visual extension.
Minimal Recalculation
This script uses security() calls in a carefully optimized way to reduce unnecessary recalculations and avoid repaint issues. By referencing open , close , etc., the lines remain fixed once the daily (or weekly) candle is confirmed.
Flexible Usage
You can apply this script to any symbol on TradingView. It’s especially beneficial for Forex pairs, indices, futures, or cryptocurrencies where you want to track significant past levels.
If you’re a scalper looking for areas of likely reaction, or a swing trader watching weekly opens for trend confirmation, these levels can be integral to your technical approach.
How to Use
Add to Chart: Click the “Add to Favorite Indicators” or “Apply to Chart” button once published.
Enable or Disable Previous Day Bars: Use the script’s input to toggle the display of previous day’s High, Low, Open, and Close lines if you only want weekly lines (or vice versa).
Customize Visuals: You can change line colors, width, and label text in the “Style” or “Inputs” tab. Adjust them to fit your preferred color scheme.
Interpretation:
Daily levels typically carry relevance for the next trading session. They can be used for intraday support/resistance, breakout checks, or gap fills.
Weekly levels help identify more prominent zones for bigger moves or for understanding overall sentiment from the prior week.
Conceptual Underpinnings
Support/Resistance: Past opens/closes often act as support or resistance because they represent important points of reference (where trading started or ended during a prior session).
Market Psychology: Many traders watch daily or weekly closes to gauge momentum and bias, which can become self-fulfilling as more participants join around those levels.
Improved Situational Awareness: By having these levels automatically drawn and updated, traders avoid missing critical areas where price may pivot.
This script is intentionally open-source to help traders study and personalize it.
By merging daily and weekly pivot concepts in a single script, it provides a convenient and efficient tool—rather than a simple mashup, it unifies two timeframes that are crucial in short-term and medium-term trading decisions.
Remember that these levels alone do not constitute a complete trading system; they are best used as part of a broader strategy involving risk management, additional technical signals, and market context.
Candle 1 2 3 on XAUUSD (by Veronica)Description
Discover the Candle 1 2 3 Strategy, a simple yet effective trading method tailored exclusively for XAUUSD on the 15-minute timeframe. Designed by Veronica, this strategy focuses on identifying key reversal and continuation patterns during the London and New York sessions, making it ideal for traders who prioritise high-probability entries during these active market hours.
Key Features:
1. Session-Specific Trading:
The strategy operates strictly during London (03:00–06:00 UTC) and New York (08:30–12:30 UTC) sessions, where XAUUSD tends to show higher volatility and clearer price movements.
Pattern Criteria:
- Works best if the first candle is NOT a pin bar or a doji.
- Third candle should either:
a. Be a marubozu (large body with minimal wicks).
a. Have a significant body with wicks, ensuring the close of the third candle is above Candle 2 (for Buy) or below Candle 2 (for Sell).
Callout Labels and Alerts:
Automatic Buy and Sell labels are displayed on the chart during qualifying sessions, ensuring clarity for decision-making.
Integrated alerts notify you of trading opportunities in real-time.
Risk Management:
Built-in Risk Calculator to estimate lot sizes based on your account size, risk percentage, and stop-loss levels.
Customizable Table:
Displays your calculated lot size for various stop-loss pip values, making risk management seamless and efficient.
How to Use:
1. Apply the indicator to XAUUSD (M15).
2. Focus on setups appearing within the London and New York sessions only.
3. Ensure the first candle is neither a pin bar nor a doji.
4. Validate the third candle's body placement:
For a Buy, the third candle’s close must be above the second candle.
For a Sell, the third candle’s close must be below the second candle.
5. Use the generated alerts to streamline your entry process.
Notes:
This strategy is meant to complement your existing knowledge of market structure and price action.
Always backtest thoroughly and adjust parameters to fit your personal trading style and risk tolerance.
Credit:
This strategy is the intellectual property of Veronica, developed specifically for XAUUSD (M15) traders seeking precision entries during high-volume sessions.
Parsh_Momentum with MACD FlagsThe "Momentum with MACD Flags" indicator combines momentum analysis and MACD to help identify trading opportunities. The momentum line shows the price change over a specified period, turning green when crossing above zero (bullish) and red when crossing below zero (bearish). It is plotted continuously with key levels at 0, 25, -25, 85, and -85 to indicate momentum strength. Labels showing "MACD+" or "MACD-" appear when the MACD line crosses above or below the signal line, providing confirmation of trend direction. This indicator is useful for swing traders looking for entry and exit signals
Eden dos Traders - @chrismoreira.spEsse indicador recebe o nome de Eden dos Traders em homenagem ao conceito e estratégia desenvolvida pelo mestre em trading Alexandre Wolwacz conhecido no mercado como Stormer.
O conceito de Eden dos Traders se resume em ser a zona perfeita de ser operada em uma tendência, momento em que temos as principais médias do mercado alinhadas, deixando um caminho livre de suportes / resistências para que o trader tenha a possibilidade de surfar movimentos de tendência no gráfico.
Basicamente, as médias presentes nesse indicador serão pintadas de verde quando estiverem curvadas para cima, e de vermelho quando estiverem curvadas para baixo. Se a média estiver lateralizada, ficará pintada de amarelo.
Espero que gostem e façam bom uso!
Price and Volume Divergence Analyzer
How to Use the Indicator
Main Purpose:
Identify divergences between price movement, the volume line, and the weighted volume line to predict potential reversals.
Volume Line Explanation:
At zero: Equal buying and selling volume.
At 1: Double the buying volume vs. selling.
At -1: Double the selling volume vs. buying.
Divergence:
Price rising, volume line falling: Sellers offloading to buyers—likely reversal downward.
Price falling, volume line rising: Buyers stepping in—likely reversal upward.
Higher/Lower Volume Movement Line:
At zero: Equal volume required for price movement.
At 1: High efficiency—half the volume needed to move price.
At -1: Low efficiency—double the volume needed to move price.
Above volume line: Movement aligns with efficient volume.
Below volume line: Inefficient price movement.
Candle Fill Colors:
Shaded based on whether the current close is higher or lower than the previous close.
Settings Overview
EMA Settings:
Timeframe Selection:
Use a lower timeframe than your chart for accuracy. Avoid selecting a timeframe higher than your chart.
EMA Length Option:
Default: Sets lengths automatically (EMA = 14, EMA of EMA = 3).
User Input: Allows custom EMA length.
Calculation Type:
EMA: Standard exponential moving average.
EMA of EMA: Applies EMA three times for smoother values.
Volume Line Settings:
Line Width: Adjust thickness.
Colors:
More Buying: Green (default).
More Selling: Red (default).
Higher/Lower Volume Movement Line:
Line Width: Adjust thickness.
Colors:
Higher Volume Movement: Indicates higher volume required.
Lower Volume Movement: Indicates lower volume required.
Up/Down Candle Fill:
Colors:
Up Candle: Green (default).
Down Candle: Red (default).
Transparency: Adjust percentage for visibility.
Balance Line Settings:
Line Width and Color: Equilibrium line showing equal buying/selling volume at zero.
EMA Offset Strategy with RSIEMA Offset Strategy with RSI Confirmation
This strategy combines the power of exponential moving averages (EMA) and the Relative Strength Index (RSI) to identify potential buy and sell signals in the market.
Key Features:
EMA with Forward Offset:
The strategy calculates a 13-period EMA and offsets it forward by another 13 periods to create a predictive indicator.
The offset EMA acts as a dynamic support and resistance level.
RSI-Based Confirmation:
A long (buy) signal is generated when the price closes above the offset EMA and the RSI is greater than 56.
A short (sell) signal is generated when the price closes below the offset EMA and the RSI is less than 44.
The RSI is set to a default 14-period calculation, providing an extra layer of confirmation for trade entries.
Signal Visualization:
Green "Buy" labels appear below bars where long conditions are met.
Red "Sell" labels appear above bars where short conditions are met.
The strategy dynamically plots the EMA (blue) and Offset EMA (red) on the price chart.
Automated Trade Execution:
The strategy executes long and short positions based on the defined conditions and exits when the opposing signal is triggered.
How to Use:
Inputs:
EMA Period: The number of periods for the exponential moving average (default is 13).
Offset Period: The number of periods to calculate the forward offset (default is 13).
RSI Period: The length of the RSI calculation (default is 14).
Signals:
Buy: When the closing price is above the offset EMA and RSI > 56.
Sell: When the closing price is below the offset EMA and RSI < 44.
Ideal Use Cases:
Suitable for trending markets to ride momentum while filtering out false signals with RSI confirmation.
Can be used for swing trading or intraday trading on various timeframes.
Customizations:
Users can adjust the EMA period, offset period, and RSI period from the settings to fit their preferred trading style and market conditions.
Visualization:
EMA (Blue): Traditional moving average line.
Offset EMA (Red): Predictive forward offset line.
Buy/Sell Signals: Clearly marked on the chart for actionable insights.
Buy/Sell StrategyElliott wave analysis is designed to simplify and increase the objectivity of graph analysis using the Elliott wave method. this indicator can be successfully used in trading without knowing the Elliott wave method.
The indicator is based on wave counting
ATR and RSI-Based Trading StrategyOverview
This strategy aims to capitalize on market opportunities by combining the power of volatility analysis and momentum indicators. By utilizing the Average True Range (ATR), Relative Strength Index (RSI), and Simple Moving Average (SMA), the strategy seeks to identify potential entry and exit points.
Key Indicators
Simple Moving Average (SMA): The SMA provides a general trend direction by smoothing out price data over a specified period.
Relative Strength Index (RSI): The RSI measures the speed and change of price movements, helping to identify overbought and oversold conditions.
Average True Range (ATR): The ATR measures the average true range of an asset's price over a specified period, providing a gauge of volatility.
Strategy Logic
Volatility Bands: The ATR is used to create upper and lower bands around a simple moving average. These bands represent a dynamic range of expected price movement.
Momentum Analysis: The RSI is used to measure the strength and direction of price movements.
Entry Signals:
Long Entry: A long position is entered when the price closes above the lower band and the RSI is below a predefined oversold level.
Short Entry: A short position is entered when the price closes below the upper band and the RSI is above a predefined overbought level.
Advantages
Versatility: The strategy can be applied to various markets and timeframes.
Adaptability: By adjusting the parameters, the strategy can be customized to different market conditions.
Clear signals: The combination of price action and momentum indicators provides clear entry and exit signals.
Disadvantages
False signals: The strategy may generate false signals, especially during periods of high volatility or sideways markets.
Parameter optimization: The performance of the strategy is highly dependent on the chosen parameters, which may require ongoing optimization.
Market conditions: The effectiveness of the strategy can vary depending on the overall market environment.
Conclusion
The ATR and RSI-based trading strategy offers a robust framework for identifying potential trading opportunities. However, like any trading strategy, it is essential to conduct thorough backtesting and consider implementing risk management techniques such as stop-loss and take-profit orders.
Additional Considerations:
Customization: Traders can customize the strategy by adjusting the parameters of the indicators (e.g., SMA length, RSI period, ATR multiplier) and adding additional indicators or filters.
Backtesting: It is crucial to backtest the strategy on historical data to assess its performance and identify potential weaknesses.
Risk Management: Implementing stop-loss and take-profit orders can help to limit potential losses and protect profits.
Flow-Weighted Volume Oscillator (FWVO)Volume Dynamics Oscillator (VDO)
Description
The Volume Dynamics Oscillator (VDO) is a powerful and innovative tool designed to analyze volume trends and provide traders with actionable insights into market dynamics. This indicator goes beyond simple volume analysis by incorporating a smoothed oscillator that visualizes the flow and momentum of trading activity, giving traders a clearer understanding of volume behavior over time.
What It Does
The VDO calculates the flow of volume by scaling raw volume data relative to its highest and lowest values over a user-defined period. This scaled volume is then smoothed using an exponential moving average (EMA) to eliminate noise and highlight significant trends. The oscillator dynamically shifts above or below a zero line, providing clear visual cues for bullish or bearish volume pressure.
Key features include:
Smoothed Oscillator: Displays the direction and momentum of volume using gradient colors.
Threshold Markers: Highlights overbought or oversold zones based on upper and lower bounds of the oscillator.
Visual Fill Zones: Uses color-filled areas to emphasize positive and negative volume flow, making it easy to interpret market sentiment.
How It Works
The calculation consists of several steps:
Smoothing with EMA: An EMA of the scaled volume is applied to reduce noise and enhance trends. A separate EMA period can be adjusted by the user (Volume EMA Period).
Dynamic Thresholds: The script determines upper and lower bounds around the smoothed oscillator, derived from its recent highest and lowest values. These thresholds indicate critical zones of volume momentum.
How to Use It
Bullish Signals: When the oscillator is above zero and green, it suggests strong buying pressure. A crossover from negative to positive can signal the start of an uptrend.
Bearish Signals: When the oscillator is below zero and blue, it indicates selling pressure. A crossover from positive to negative signals potential bearish momentum.
Overbought/Oversold Zones: Use the upper and lower threshold levels as indicators of extreme volume momentum. These can act as early warnings for trend reversals.
Traders can adjust the following inputs to customize the indicator:
High/Low Period: Defines the period for volume scaling.
Volume EMA Period: Adjusts the smoothing factor for the oscillator.
Smooth Factor: Controls the responsiveness of the smoothed oscillator.
Originality and Usefulness
The VDO stands out by combining dynamic volume scaling, EMA smoothing, and gradient-based visualization into a single, cohesive tool. Unlike traditional volume indicators, which often display raw or cumulative data, the VDO emphasizes relative volume strength and flow, making it particularly useful for spotting reversals, confirming trends, and identifying breakout opportunities.
The integration of color-coded fills and thresholds enhances usability, allowing traders to quickly interpret market conditions without requiring deep technical expertise.
Chart Recommendations
To maximize the effectiveness of the VDO, use it on a clean chart without additional indicators. The gradient coloring and filled zones make it self-explanatory, but traders can overlay basic trendlines or support/resistance levels for additional context.
For advanced users, the VDO can be paired with price action strategies, candlestick patterns, or other trend-following indicators to improve accuracy and timing.
EMA DETTAEste indicador ajusta automaticamente as configurações das Médias Móveis Exponenciais (EMAs) de acordo com o timeframe do gráfico selecionado, eliminando a necessidade de ajustes manuais. É ideal para traders que utilizam múltiplos timeframes e desejam uma adaptação dinâmica para suas análises técnicas.
Dynamic S/R Levels: Edge FinderOverview
The Dynamic S/R Levels: Edge Finder indicator is designed to identify dynamic support and resistance levels based on historical price action. It uses a combination of price extremes (highs and lows) over user-defined lookback periods, weighted moving averages (WMAs), and touch-count analysis to provide actionable insights into key market levels.
This tool is ideal for traders who want to:
Identify dynamic support and resistance zones.
Understand the strength of these levels based on price touches.
Make informed decisions using clear, adaptive levels.
How It Works
Dynamic Levels Calculation:
The indicator calculates dynamic support levels using the lowest lows and dynamic resistance levels using the highest highs over user-defined lookback periods (e.g., 20, 40, 60 bars, etc.).
These levels are updated dynamically as new price data becomes available.
Touch Count Analysis:
The indicator counts how many times the price has touched or come close to each support/resistance level within the lookback period.
Levels with more touches are considered stronger and are highlighted accordingly.
Weighted Moving Averages (WMAs):
The indicator uses 50-period and 100-period WMAs to identify the closest support/resistance levels to the current trend.
Levels near these WMAs are given additional weight, as they are more likely to act as significant barriers.
Level Merging:
If two support or resistance levels are too close to each other (based on the minimum distance percentage), the weaker level (with fewer touches) is removed to avoid clutter.
Visualization:
Support levels are displayed as dashed red lines, and resistance levels are displayed as dashed blue lines.
Each level is labeled with its corresponding touch count, allowing traders to quickly assess its strength.
How to Interpret the Indicator
Strong Support/Resistance Levels:
Levels with higher touch counts (e.g., 5, 10, or more) are considered stronger and are more likely to hold in the future.
Use these levels to plan entries, exits, or stop-loss placements.
Proximity to WMAs:
Levels closest to the 50-period or 100-period WMA are more significant, especially in trending markets.
These levels often act as dynamic barriers where price reactions are more likely.
Breakouts and Rejections:
If the price breaks through a strong resistance level, it may indicate a potential bullish trend.
If the price rejects a strong support level, it may indicate a potential bearish trend.
Always confirm breakouts or rejections with additional analysis (e.g., volume, candlestick patterns).
Level Merging:
Merged levels indicate areas of high confluence, where multiple support/resistance zones overlap.
These areas are particularly important for decision-making, as they represent stronger market reactions.
Key Features
Customizable Lookback Periods: Adjust the lookback periods for each dynamic level to suit your trading style.
Touch Count Labels: Quickly identify the strength of each level based on the number of price touches.
Adaptive Levels: The indicator dynamically updates levels based on recent price action.
Clean Visualization: Levels are automatically merged to avoid clutter and provide a clear view of the market structure.
Usage Tips
Trend Identification: Combine the indicator with trend-following tools (e.g., moving averages, trendlines) to confirm the overall market direction.
Risk Management: Use the identified levels to set stop-loss orders or take-profit targets.
Timeframe Flexibility: The indicator works on all timeframes, but it is particularly effective on higher timeframes (e.g., 1H, 4H, Daily) for more reliable levels.
Example Scenarios
Bounce Trade:
If the price approaches a strong support level (high touch count) and shows signs of rejection (e.g., bullish candlestick patterns), consider a long position with a stop-loss below the support level.
Breakout Trade:
If the price breaks above a strong resistance level with high volume, consider a long position with a target at the next resistance level.
Range-Bound Market:
In a sideways market, use the support and resistance levels to identify range boundaries and trade bounces between them.
Disclaimer
Dynamic S/R Levels: Edge Finder is a technical analysis tool designed to identify dynamic support and resistance levels based on historical price action. It is intended for informational and educational purposes only. This indicator does not provide financial, investment, or trading advice. Users are solely responsible for their trading decisions and should conduct their own research and analysis before making any trades. The developer of this tool is not liable for any financial losses or damages resulting from the use of this indicator. Trading in financial markets involves risk, and you should only trade with capital you can afford to lose.
Machine Learning Price Target Prediction Signals [AlgoAlpha]Introducing the Machine Learning Price Target Predictions, a cutting-edge trading tool that leverages kernel regression to provide accurate price targets and enhance your trading strategy. This indicator combines trend-based signals with advanced machine learning techniques, offering predictive insights into potential price movements. Perfect for traders looking to make data-driven decisions with confidence.
What is Kernel Regression and How It Works
Kernel regression is a non-parametric machine learning technique that estimates the relationship between variables by weighting data points based on their similarity to a given input. The similarity is determined using a kernel function, such as the Gaussian (RBF) kernel, which assigns higher weights to closer data points and progressively lower weights to farther ones. This allows the model to make smooth and adaptive predictions, balancing recent data and historical trends.
Key Features
🎯 Predictive Price Targets : Uses kernel regression to estimate the magnitude of price movements.
📈 Dynamic Trend Analysis : Multiple trend detection methods, including EMA crossovers, Hull Moving Average, and SuperTrend.
🔧 Customizable Settings : Adjust bandwidth for kernel regression and tweak trend indicator parameters to suit your strategy.
📊 Visual Trade Levels : Displays take-profit and stop-loss levels directly on the chart with customizable colors.
📋 Performance Metrics : Real-time win rate, recommended risk-reward ratio, and training data size displayed in an on-chart table.
🔔 Alerts : Get notified for new trends, take-profit hits, and stop-loss triggers.
How to Use
🛠 Add the Indicator : Add it to your favorites and apply it to your chart. Configure the trend detection method (SuperTrend, HMA, or EMA crossover) and other parameters based on your preferences.
📊 Analyze Predictions : Observe the predicted move size, recommended risk-reward ratio, and trend direction. Use the displayed levels for trade planning.
🔔 Set Alerts : Enable alerts for trend signals, take-profit hits, or stop-loss triggers to stay informed without constant monitoring.
How It Works
The indicator calculates features such as price volatility, relative strength, and trend signals, which are stored during training periods. When a trend change is detected, the kernel regression model predicts the likely price move based on these features. Predictions are smoothed using the specified bandwidth to avoid overfitting while ensuring timely responses to feature changes. Visualized take-profit and stop-loss levels help traders optimize risk management. Real-time metrics like win rate and recommended risk-reward ratios provide actionable insights for decision-making.
