Bottom FishingThe Bottom Fishing Indicator is a technical analysis tool that integrates RSI (Relative Strength Index), CCI (Commodity Channel Index), and MFI (Money Flow Index) to detect potential market bottoming opportunities. It calculates the oversold accumulation value of these indicators and marks buy signals when specific thresholds are met.
This indicator supports multi-timeframe (MTF) analysis, allowing users to track oversold conditions on higher timeframes such as daily or weekly charts.
Calculation Logic
(1) RSI Calculation
The Relative Strength Index (RSI) measures the strength of price movement by comparing recent gains and losses over a defined period. If the RSI value drops below 30, it indicates that the asset is oversold, meaning that selling pressure has been dominant and a potential rebound might occur. When this condition is met, the difference between 30 and the RSI value is added to the accumulation sum.
(2) CCI Calculation
The Commodity Channel Index (CCI) compares the current price level to its moving average over a specific period. If the CCI value falls below -100, it suggests that the asset is experiencing significant downward pressure. The difference between -100 and the actual CCI value is recorded and accumulated over time to gauge the intensity of the oversold condition.
(3) MFI Calculation
The Money Flow Index (MFI) evaluates price movements in relation to volume to determine buying and selling pressure. When the MFI drops below 20, it signals that the market is experiencing excessive selling pressure. The difference between 20 and the MFI value is added to the accumulation sum to track the degree of the oversold condition.
(4) Oversold Accumulation Calculation
Each time the selected indicator (RSI, CCI, or MFI) enters an oversold state, the corresponding difference is added to an ongoing sum. If the indicator exits the oversold zone, the accumulation sum resets to zero. Once the accumulation sum reaches or exceeds the defined threshold, the indicator marks a buy signal on the chart, indicating a potential bottom.
Multi-Timeframe (MTF) Calculation
Uses request.security() to fetch higher timeframe data (e.g., Daily, Weekly).
RSI, CCI, and MFI are recalculated on the selected timeframe.
The same oversold accumulation logic is applied to detect long-term buy opportunities.
The MTF accumulation line is plotted to visualize oversold conditions on higher timeframes.
Chart Display
(1) Indicator Lines
✅ Accumulation Value Line
Value Sum Line (Aqua color): Represents the oversold accumulation sum in the current timeframe.
MTF Value Sum Line (Orange color): Represents the oversold accumulation sum in the selected multi-timeframe.
✅ Divergence Signal Markers
If accumulation exceeds the threshold, a "Goal" marker is plotted above the candle, signaling a potential bottom.
Use Cases
🔹 Short-term Trading: Ideal for scalping and intraday trading, detecting potential reversals when RSI, CCI, or MFI enters the oversold zone.
🔹 Trend Reversal Trading: Works best with multi-timeframe confirmation, where a higher timeframe also signals an oversold condition.
🔹 Combining with Other Indicators: Can be used alongside moving averages, MACD, Bollinger Bands for higher accuracy.
Centered Oscillators
HTC peppermint_07 CCI w signal + s&r RSI
This CCI version enhances the traditional Commodity Channel Index (CCI) by integrating a dynamically calculated Relative Strength Index (RSI) that acts as support and resistance as shown in the screenshot, it can add as a confirmation to the divergence found in the CCI.
Key Features:
Enhanced CCI: The primary plot (black line but customizable) represents the standard CCI, providing insight into price momentum and potential overbought/oversold conditions.
Dynamic RSI Support/Resistance: The upper and lower bands (medium cyan line) are derived from a smoothed RSI, dynamically adjusting to the current market volatility. These bands serve as potential support and resistance levels for the CCI as additional confirmation for the divergence.
Overbought/Oversold Zones: The traditional overbought (+100) and oversold (-100) levels for CCI are marked with horizontal dotted lines.
Benefits:
Improved Entry/Exit Signals: Combining CCI with dynamic RSI support/resistance may offer more precise trading signals compared to using CCI alone.
Dynamic Adaptation: The RSI-based bands adapt to changing market conditions, potentially providing more relevant support and resistance levels.
Divergence Confirmation: dynamic s&r RSI adds confluence to potential trend reversals identified by the CCI.
Potential Usage:
Traders might use this indicator to:
Identify potential overbought/oversold conditions using the CCI and its relationship to the dynamic RSI bands.
Look for breakouts beyond the dynamic support/resistance levels as potential entry points.
Confirm potential trend reversals using RSI divergence (cyan and red label above divergence) signals.
Further Development Considerations:
Customizable Parameters: Allowing users to adjust the CCI length, RSI periods, and smoothing factors would enhance flexibility.
Alert Conditions: Adding alerts for breakouts, overbought/oversold conditions, and divergence signals would improve usability.
Backtesting: Thoroughly backtesting the indicator's performance across different assets and timeframes is essential before using it for live trading.
DISCLAIMER: !!
indicator is a custom technical analysis tool designed for educational and informational purposes only. It should not be construed as financial advice or a recommendation to buy or sell any security. Trading involves substantial risk of loss and may not be suitable for all investors.
Key Points to Consider:
No Guarantee of Profitability: The indicator's past performance is not indicative of future results. No trading strategy can guarantee profits or eliminate the risk of losses. You could lose some or all of your investment.
Use at Your Own Risk: Use of this indicator is solely at your own discretion and risk. You are responsible for your trading decisions. The developers and distributors of this indicator are not liable for any losses incurred as a result of using it.
Not Financial Advice: This indicator does not provide financial advice. Consult with a qualified financial advisor before making any investment decisions.
Backtesting Limitations: Backtested results, if presented, should be viewed with caution. Past performance may not reflect future results due to various factors, including changing market conditions and the limitations of backtesting methodologies.
Indicator Limitations: Technical indicators, including this one, are not perfect. They can generate false signals, and their effectiveness can vary depending on market conditions and the specific parameters used.
Parameter Optimization: Optimizing indicator parameters for past performance can lead to overfitting, which may not translate to future profitability.
No Warranty: The indicator is provided "as is" without any warranty of any kind, either express or implied, including but not limited to warranties of merchantability, fitness for a particular purpose, or non-infringement.
Changes and Updates: The developers may make changes or updates to the indicator without notice.
By using the "HTC peppermint_07 CCI w signal + s&r RSI" indicator, you acknowledge and agree to the terms of this disclaimer. If you do not agree with these terms, do not use the indicator.
MACD Crossover SignalsThis is a way of saying thank you to everyone who has been sharing opensource scripts for indicators and strategies on TV.
This indicator generates a "Buy" or "Sell" signal based on two rules.
1. "Buy" when the MACD crosses above the signal
2. "Sell" when the MACD crosses below the signal
The MACD parameters are configurable so you can even configure it for the LBR 3-10 Oscillator. :)
Hope you find this useful in your learning journey.
Linda Raschke's MACD V2.0
This script is based on Linda Raschke's interpretation of the MACD (Moving Average Convergence Divergence) indicator, designed to provide a refined view of market momentum and trend reversals.
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Linda Raschke's MACD - Enhanced Trading Indicator
This custom MACD indicator, inspired by Linda Raschke's approach, refines the traditional MACD by offering a more responsive and adaptable view of momentum shifts.
Key Features :
As seen in image above
- Fast & Slow Length : Adjust the periods for the fast and slow moving averages to suit your trading style.
- Source : Choose the data source for calculation (typically closing price).
- Signal Smoothing : Fine-tune the smoothness of the signal line with adjustable settings.
- Customizable MA Types : Select between Simple Moving Average (SMA) or Exponential Moving Average (EMA) for both the oscillator and signal line for more flexibility.
The script displays:
- The MACD line : The difference between the fast and slow moving averages, indicating momentum.
- The Signal line : A smoothed version of the MACD that highlights trend changes.
- The Histogram : Shows the difference between the MACD and Signal line, visualizing the strength of the trend and potential reversals.
Alerts :
- Alerts trigger when the MACD histogram shifts from rising to falling or vice versa, providing early signals of potential momentum changes.
Zero Line : The zero line helps identify the current market trend (above the line is bullish, below is bearish).
This indicator is perfect for traders looking for advanced momentum signals and precise entry/exit points, with options to tweak the moving averages to better match their strategy.
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Key Differences Between Linda Raschke’s MACD and the Traditional MACD :
1. Different Fast and Slow Lengths
Standard MACD : Typically uses a 12-period fast EMA and a 26-period slow EMA for calculating the MACD line.
Linda Raschke’s MACD : The fast and slow lengths are customizable and are often much shorter. In this script, the default values are 3 for the fast length and 10 for the slow length. These shorter periods help the indicator react faster to price changes and better capture momentum shifts in volatile markets.
2. Faster Response to Momentum Shifts
By shortening the periods for the moving averages and offering customization of the smoothing methods, Linda Raschke’s MACD tends to react more quickly to market changes. This makes it better suited for shorter-term traders or those looking to catch early momentum shifts.
The standard MACD, on the other hand, may be slower to react due to its longer default settings, making it more appropriate for longer-term trend-following strategies.
5. Histogram Coloring and Visual Representation
Standard MACD : The histogram simply shows the difference between the MACD line and the signal line, and the color usually remains constant unless specifically customized.
Linda Raschke’s MACD : The histogram in this script changes color based on whether the histogram is rising or falling compared to the previous bar, making it easier to spot momentum shifts. For example:
Green if the histogram is rising.
Red if the histogram is falling.
Lighter shades if the histogram is in transition, providing a more intuitive view of the market's strength and direction.
6. Alert Conditions
Linda Raschke’s MACD : This script adds specific alert conditions when the MACD histogram transitions from rising to falling (or vice versa), offering traders an early warning signal for potential trend reversals or momentum shifts.
7. Shorter Timeframes
Linda Raschke’s MACD : The shorter settings make it more suited for intraday trading or shorter timeframes, helping to catch early market movements. It can be used more effectively for day traders or scalpers.
Standard MACD : Better suited for longer timeframes and trend-following strategies, as it’s less sensitive to short-term noise.
Summary: Best Timeframes
Ideal Timeframes : 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour charts.
Possible for Swing Trading: Daily charts, but with caution due to quicker signals.
If you're using it for day trading or scalping, I’d suggest focusing on intraday charts (1-minute to 30-minute), and adjusting the signal smoothing and lengths to fine-tune how sensitive the indicator is to price action.
Suggested Values for 1-Minute Chart:
1. Signal Line Smoothing (Length of Signal Line):
Range: The standard setting in your script is 16.
Adjustment for 1-Minute Chart:
You may want to decrease this value for faster responsiveness.
Try 8 to 12 for a more reactive signal line. A lower value (like 8) will make the signal line more responsive to price changes, which is useful for short-term momentum.
Test the range of 10 to 12 if you want to smooth out some noise but still react fairly quickly.
2. Fast and Slow Length (for MACD Oscillator):
The fast and slow moving averages also play a role in the indicator’s speed. For 1-minute charts, you'll want these to be shorter to catch fast market movements.
Fast Length: A value of 3 is good for a responsive MACD on a 1-minute chart. It reacts quickly to recent price changes.
Slow Length: You might want to adjust this slightly to around 7 to 10. A value of 10 will allow the slow line to smooth out more, reducing excessive noise.
Alienseeker GC and RSI StrategyDescription:
The Alienseeker GC and RSI Strategy is a technical trading strategy that combines the Gaussian Channel (GC) and Stochastic RSI indicators to identify potential entry and exit points in the market. The strategy is designed to work on any timeframe and is suitable for traders looking for a systematic approach to trading.
Key Features:
Gaussian Channel (GC):
The Gaussian Channel is calculated using an Exponential Moving Average (EMA) as the basis and a standard deviation multiplier to create upper and lower channels.
The upper channel acts as a dynamic resistance level, while the lower channel acts as a dynamic support level.
Stochastic RSI:
The Stochastic RSI is used to identify overbought and oversold conditions.
It smooths the RSI values and generates %K and %D lines, which help confirm potential reversals.
Trading Logic:
A long position is entered when the price crosses below the lower Gaussian Channel and the Stochastic RSI %K line crosses above the %D line (indicating a potential reversal).
The position is closed when the price crosses above the upper Gaussian Channel.
Date Range Filter:
The strategy includes a customizable date range filter, allowing users to backtest or trade the strategy within a specific time period.
Input Parameters:
Gaussian Channel Length: Length of the EMA used for the Gaussian Channel.
Standard Deviation Multiplier: Multiplier applied to the standard deviation for the Gaussian Channel.
RSI Length: Length of the RSI calculation.
Stochastic Length: Length of the Stochastic RSI calculation.
Smooth K and D: Smoothing periods for the %K and %D lines of the Stochastic RSI.
Start Date and End Date: Customizable date range for the strategy.
Disclaimer:
This strategy is for educational and informational purposes only. Past performance is not indicative of future results. Always conduct your own research and backtesting before using any strategy in live trading.
Momentum, RSI, and MACD Strategy with Stop Loss//@version=5
strategy("Momentum, RSI, and MACD Strategy with Stop Loss", overlay=true, calc_on_every_tick=true)
// Input for Momentum
length = input(12, title="Momentum Length")
price = close
// Input for RSI
rsiLength = input(14, title="RSI Length")
rsiSource = close
rsiValue = ta.rsi(rsiSource, rsiLength)
// Input for MACD
fast_length = input(12, title="Fast Length")
slow_length = input(26, title="Slow Length")
src = close
signal_length = input.int(9, title="Signal Smoothing")
sma_source = input.string("EMA", title="Oscillator MA Type", options= )
sma_signal = input.string("EMA", title="Signal Line MA Type", options= )
// ATR Inputs and Calculation
atrLength = input.int(title="ATR Length", defval=14, minval=1)
smoothing = input.string(title="ATR Smoothing", defval="RMA", options= )
ma_function(source, length) =>
switch smoothing
"RMA" => ta.rma(source, length)
"SMA" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
=> ta.wma(source, length)
atrValue = ma_function(ta.tr(true), atrLength)
// Calculating Momentum
momentum(seria, length) =>
mom = seria - seria
mom
mom0 = momentum(price, length)
mom1 = momentum(mom0, 1)
// Calculating MACD
fast_ma = sma_source == "SMA" ? ta.sma(src, fast_length) : ta.ema(src, fast_length)
slow_ma = sma_source == "SMA" ? ta.sma(src, slow_length) : ta.ema(src, slow_length)
macd = fast_ma - slow_ma
signal = sma_signal == "SMA" ? ta.sma(macd, signal_length) : ta.ema(macd, signal_length)
hist = macd - signal
// Long Entry Condition
longCondition = mom0 > 0 and mom1 > 0 and rsiValue > 50 and macd > 0
if (longCondition)
strategy.entry("MomRSIMACD Long", strategy.long, stop=high+syminfo.mintick, comment="MomRSIMACD Long")
strategy.exit("Exit Long", from_entry="MomRSIMACD Long", stop=price-15, limit=price+15)
// Short Entry Condition
shortCondition = mom0 < 0 and mom1 < 0 and rsiValue < 50 and macd < 0
if (shortCondition)
strategy.entry("MomRSIMACD Short", strategy.short, stop=low-syminfo.mintick, comment="MomRSIMACD Short")
strategy.exit("Exit Short", from_entry="MomRSIMACD Short", stop=price+15, limit=price-15)
Gold Trading StrategyStrategy Logic:*
1. *Trend Filter:* Uses 50/200 EMA crossovers (common for gold trend identification)
2. *Momentum Confirmation:* MACD crossover system with RSI filter
3. *Volatility Breakout:* Entry on 20-period high/low breaks
4. *Risk Management:* 2% stop-loss and 3% take-profit levels
*Key Features:*
- Visual EMA trend lines
- Dynamic support/resistance levels
- Clear buy/sell signals with alerts
- Integrated risk management
- Works best on 1H-4H timeframes for gold
*Usage Tips:*
1. Apply to XAU/USD charts
2. Best used on 1-hour or 4-hour timeframes
3. Combine with fundamental analysis (USD news, geopolitical events)
4. Adjust stop-loss/take-profit based on volatility (use ATR as reference)
*Optimization Suggestions:*
- Test different EMA combinations (e.g., 100/200)
- Adjust RSI thresholds based on gold's current volatility
- Modify lookback period for support/resistance levels
- Experiment with different timeframes (works best 1H-4H)
Remember to:
- Always forward-test with small positions first
- Adjust parameters during different market regimes
- Combine with gold-specific news analysis
- Monitor USD strength and real yields correlation
Multi-Timeframe Indicators Table with DivergenceThis indicator provides a comprehensive view of key technical indicators across multiple timeframes: Monthly, Weekly, and Daily. It includes the following:
RSI (Relative Strength Index): Shows momentum strength for each timeframe.
MFI (Money Flow Index): Tracks the flow of money into and out of the asset.
CCI (Commodity Channel Index): Identifies overbought or oversold conditions.
BB% (Bollinger Bands Percent): Measures the price relative to Bollinger Bands for volatility analysis.
The indicator also highlights potential divergences between price action and each technical indicator. Divergence is indicated when the price moves in one direction while the indicator moves in the opposite, which could signal a possible trend reversal.
Features:
Multi-timeframe analysis (Monthly, Weekly, Daily & Intraday)
Visual representation of key indicators with colors for easy interpretation
Divergence alerts for trend reversal opportunities
Customizable indicator lengths and colors
Use this tool to analyze price trends, potential reversals, and identify high-probability trading opportunities across different timeframes
Bullish Divergence + Support Levels Custom//@version=5
indicator("Bullish Divergence + Support Levels", overlay=true)
// RSI Calculation
rsiLength = 14
rsi = ta.rsi(close, rsiLength)
// Detect Bullish Divergence
low1 = ta.lowest(low, 5)
low2 = ta.lowest(low, 5)
rsiLow1 = ta.lowest(rsi, 5)
rsiLow2 = ta.lowest(rsi, 5)
// Condition: Price Lower Low but RSI Higher Low (Bullish Divergence)
bullishDivergence = (low1 < low2) and (rsiLow1 > rsiLow2)
// Support Level Detection
supportLevel = ta.lowest(close, 20)
// Moving Averages for Trend Confirmation
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendConfirmation = close > ema50 and ema50 > ema200 // Strong uptrend confirmation
// Price Change % for Early Recovery
change1H = (close - close ) / close * 100 // 1-hour change
change4H = (close - close ) / close * 100 // 4-hour change
earlyRecovery = change1H > 0 or change4H > 0
// Final Buy Signal: Bullish Divergence + Support Level + Trend + Early Recovery
buySignal = bullishDivergence and close >= supportLevel and trendConfirmation and earlyRecovery
// Plot Buy Signal
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="BUY 🚀")
plot(supportLevel, color=color.blue, title="Support Level", linewidth=2)
plot(ema50, color=color.orange, title="50 EMA")
plot(ema200, color=color.red, title="200 EMA")
Strategy with Volume, MACD, RSI, StochRSIExplanation:
MACD: Used to identify momentum and trend direction.
RSI: Used to identify overbought/oversold conditions.
StochRSI: A more sensitive version of RSI, used to confirm RSI signals.
Volume Spike: Ensures trades are taken only when volume is above a threshold, indicating strong interest.
How to Use:
Copy and paste the code into the Pine Script editor in TradingView.
Add it to the BTCUSDT.P chart on Binance.
Backtest the strategy on historical data to evaluate its performance.
Adjust the input parameters to optimize the strategy for your trading style.
Notes:
This is a basic strategy and may not perform well in all market conditions.
Always backtest and forward-test strategies before using them with real money.
Consider adding risk management features like stop-loss and take-profit levels.
NQ Trading Indicator 2Buy Signal: Triggered when the MACD line crosses above the signal line and the RSI is below 30, indicating an oversold condition.
Sell Signal: Triggered when the MACD line crosses below the signal line and the RSI is above 70, indicating an overbought condition.
False Breakout Notification: Highlights when MACD and RSI indicate conditions opposing their typical breakout behavior (e.g., RSI is overbought during a bullish crossover or oversold during a bearish crossover).
NQ Trading Indicator for 1 min chartFor 1 minute scalp on NQ.
Buy Signal: Triggered when the MACD line crosses above the signal line and the RSI is below 30, indicating an oversold condition.
Sell Signal: Triggered when the MACD line crosses below the signal line and the RSI is above 70, indicating an overbought condition.
False Breakout Notification: Highlights when MACD and RSI indicate conditions opposing their typical breakout behavior (e.g., RSI is overbought during a bullish crossover or oversold during a bearish crossover).
RSI & DPO support/resistanceThis indicator combines the Relative Strength Index (RSI) to identify overbought and oversold conditions with the Detrended Price Oscillator (DPO) to highlight support and resistance levels.
Unlike traditional indicators that display these metrics in a separate window, this tool integrates them directly onto the main price chart.
This allows for a more cohesive analysis, enabling traders to easily visualize the relationship between price movements and momentum indicators in one unified view.
How to Use It:
Identify Overbought and Oversold Conditions:
Look for RSI values above 70 to identify overbought conditions, suggesting a potential price reversal or pullback. Conversely, RSI values below 30 indicate oversold conditions, which may signal a potential price bounce or upward movement.
Analyze Support and Resistance Levels:
Observe the DPO lines on the main chart to identify key support and resistance levels. When the price approaches these levels, it can provide insights into potential price reversals or breakouts.
Combine Signals for Trading Decisions:
Use the RSI and DPO signals together to make informed trading decisions. For example, if the RSI indicates an overbought condition while the price is near a resistance level identified by the DPO, it may be a good opportunity to consider selling or taking profits.
Monitor Divergences:
Watch for divergences between the RSI and price movements. If the price is making new highs while the RSI is not, it could indicate weakening momentum and a potential reversal.
Set Alerts:
Consider setting alerts for when the RSI crosses above or below the overbought or oversold thresholds, or when the price approaches significant support or resistance levels indicated by the DPO.
Practice Risk Management:
Always use proper risk management techniques, such as setting stop-loss orders and position sizing, to protect your capital while trading based on these indicators.
By following these steps, traders can effectively utilize this indicator to enhance their market analysis and improve their trading strategies.
MACD TAG + MedianMACD TAG and Median with ATR Bands : A Comprehensive Trading Tool
This indicator combines two powerful trading tools: the MACD TAG and the Median with ATR Bands. This synergistic approach provides traders with a multi-faceted view of price action, trend, and volatility, leading to more informed trading decisions.
MACD TAG
The MACD TAG focuses on identifying buy and sell signals based on the MACD (Moving Average Convergence Divergence) oscillator. It highlights crossover events between the smoothed MACD line and the signal line, with a configurable threshold to filter out minor fluctuations. A cooldown period prevents rapid-fire signals, ensuring more reliable entries.
Median with ATR Bands
The Median with ATR Bands provides a clear visual representation of the median price and its volatility. It calculates the median price over a specified period, then draws upper and lower bands based on the Average True Range (ATR) and a customizable multiplier. This helps identify potential support and resistance levels. The Median EMA (Exponential Moving Average) indicates the trend of the median price, offering additional insights into the overall market direction.
Combining the Power of Two
By overlaying these two indicators, traders gain a comprehensive perspective:
Trend Confirmation: MACD TAG buy signals within the upper ATR band can indicate strong upward trends, while sell signals within the lower band suggest downward momentum.
Momentum Strength: A MACD TAG signal coinciding with the median price above its EMA strengthens the signal, indicating powerful upward momentum.
Risk Management: The ATR bands can serve as potential stop-loss levels, helping limit potential losses on trades.
Customization and Optimization
This indicator is highly customizable, allowing traders to tailor it to their specific needs. You can adjust the EMA lengths, ATR multiplier, cooldown period, and other parameters to achieve optimal performance.
Invest SMA|MACD|ADX Long Weekly Strategy (BtTL)Diese Strategie kombiniert drei bewährte technische Indikatoren (SMA, MACD und ADX) für präzise Long-Einstiege auf dem Wochenchart.
Hauptmerkmale:
Einstiegssignale basieren auf einer Kombination aus SMA (30), MACD (9,18,9) und ADX (14)
Intelligentes Stop-Loss-Management durch Swing-Low-Erkennung
Trendbestätigung durch ADX > 25
Optimiert für Wochencharts
Konservatives Risikomanagement durch mehrfache Signalbestätigung
Einstiegsbedingungen:
Kurs über SMA
MACD über Signallinie und im positiven Bereich
ADX zeigt starken Trend (>25)
Ausstiegsstrategie:
Stop-Loss wird automatisch am vorletzten Swing-Low gesetzt
Position wird geschlossen, wenn der Kurs unter den SMA fällt
🇬🇧 English:
This strategy combines three proven technical indicators (SMA, MACD, and ADX) for precise long entries on the weekly chart.
Key Features:
Entry signals based on a combination of SMA (30), MACD (9,18,9), and ADX (14)
Intelligent stop-loss management through swing low detection
Trend confirmation using ADX > 25
Optimized for weekly charts
Conservative risk management through multiple signal confirmation
Entry Conditions:
Price above SMA
MACD above signal line and in positive territory
ADX showing strong trend (>25)
Exit Strategy:
Stop-loss automatically set at second-last swing low
Position closes when price falls below SMA
Two-Pole Oscillator [BigBeluga]
The Two-Pole Oscillator is an advanced smoothing oscillator designed to provide traders with precise market signals by leveraging deviation-based calculations combined with a unique two-pole filtering technique. It offers clear visual representation and actionable signals for smart trading decisions.
🔵Key Features:
Two-Pole Filtering: Smooths out the main oscillator signal to reduce noise, providing a cleaner and more reliable view of market momentum and trend strength.
// Two-pole smooth filter function
f_two_pole_filter(source, length) =>
var float smooth1 = na
var float smooth2 = na
alpha = 2.0 / (length + 1)
if na(smooth1)
smooth1 := source
else
smooth1 := (1 - alpha) * smooth1 + alpha * source
if na(smooth2)
smooth2 := smooth1
else
smooth2 := (1 - alpha) * smooth2 + alpha * smooth1
Deviation-Based Oscillator: Utilizes price deviations from the mean to generate dynamic signals, making it ideal for detecting overbought and oversold conditions.
float sma1 = ta.sma(close, 25)
float sma_n1 = ((close - sma1) - ta.sma(close - sma1, 25)) / ta.stdev(close - sma1, 25)
Signal Gradient Strength: Signals on the main oscillator line feature gradient coloring based on their proximity to the 0 level:
➔ Closer to 0: More transparent, indicating weaker signals.
➔ Closer to 1 or -1: Less transparent, highlighting stronger signals.
Level-Based Signal Validation: Parallel levels are plotted on the chart for each signal:
➔ If a level is crossed by price, the signal is invalidated, marked by an "X" at the invalidation point.
Trend Continuation
Invalidation Levels: Serve as potential stop-loss or trade-reversal zones, enabling traders to make more informed and disciplined trading decisions.
Dynamic Chart Plotting: Signals are plotted directly on the chart with corresponding levels, providing a comprehensive visual representation for easy interpretation.
🔵How It Works:
The oscillator calculates price deviation from a mean value and applies two-pole filtering to smooth the resulting signal.
Gradient-colored signals reflect their strength, with transparency indicating proximity to the 0 level on the oscillator scale.
Buy and sell signals are generated based on crossovers and crossunders of the oscillator line with a signal line.
If a level is crossed, the corresponding signal is marked with a "X" plotted on the chart at the crossover point.
🔵Use Cases:
Detecting overbought or oversold market conditions with a smoother, noise-free oscillator.
Using invalidation levels to set clear stop-loss or trade exit points.
Identifying strong momentum signals and filtering out weaker, less reliable ones.
Combining oscillator signals with price action for more precise trade entries and exits.
This indicator is perfect for traders seeking a refined approach to oscillator analysis, combining signal strength visualization with actionable invalidation levels to enhance trading precision and strategy.
MACD TAGMACD TAG Indicator
The MACD TAG indicator is designed to provide clear and actionable trading signals based on the MACD (Moving Average Convergence Divergence) crossover events. This indicator enhances the traditional MACD by introducing a tagging system that highlights buy and sell signals whenever a crossover occurs, allowing traders to make informed decisions quickly.
MACD RSI Strategy by BiegeThis strategy combines:
• MACD (Lagging Indicator): Confirms trend direction using moving averages.
• RSI (Leading Indicator): Identifies overbought/oversold conditions for potential reversal signals.
Entry Signal: When the MACD confirms a bullish trend (MACD line crosses above the signal line) and the RSI is oversold (below the defined threshold).
Exit Signal: Stop loss, take profit, or a bearish MACD crossover (MACD line crosses below the signal line).
This strategy emphasizes risk management through:
1. Balanced Indicators: Combining a leading and lagging indicator attempts to balance responsiveness and reliability.
2. Position Sizing: Limiting the percentage of capital used per trade controls potential losses on any single trade.
3. Cooldown Period: This helps prevent emotional trading and chasing losses.
4. Stop Loss Orders: Stop losses are crucial for limiting losses if a trade moves against your position.
This strategy is designed to perform best in markets with clear trends and moderate volatility. It's important to be aware of its limitations and avoid using it during:
• Earnings reports or major news events: Fundamental analysis is more appropriate in these situations.
• Extreme bear markets or extended periods of consolidation: MACD can lag significantly during sustained downtrends, and RSI can generate numerous false signals in choppy markets.
• Low-liquidity periods: Low liquidity can lead to slippage and wider spreads, which can negatively impact profitability.
By combining leading (RSI) and lagging (MACD) indicators and emphasizing risk management, this strategy aims to provide a relatively balanced and safer approach to trend following. However, no trading strategy can guarantee profits, and all trading involves risk. It's essential to understand the risks involved and to trade responsibly.
4 EMA & MACDThe indicator that combines Moving Average and MACD into one is very useful for providing a more complete picture of the market. Here's how it works:
Moving Average (MA): This is a trend indicator that smooths the price to show the dominant trend direction. MA helps traders determine whether the market is in an uptrend, downtrend, or sideways. For example, if the price is above the MA, it might indicate an uptrend, while if the price is below the MA, it might indicate a downtrend.
MACD (Moving Average Convergence Divergence): MACD measures market momentum and can provide entry and exit signals based on the difference between two moving averages (fast MA and slow MA). A buy signal occurs when the MACD crosses above the signal line, and a sell signal occurs when the MACD crosses below the signal line.
Combining both gives traders a more complete view:
MA provides an overview of the larger trend direction.
MACD helps identify moments when momentum supports a position for entering or exiting.
Common usage:
Entry: If the price is above the Moving Average (uptrend) and the MACD shows a buy signal (for example, MACD crossing above the signal line), it can be a signal to buy.
Exit: If the price starts moving below the MA and the MACD shows a sell signal, it can be a signal to sell or exit the position.
There is an indicator called MACD + Moving Average Cross, which combines both elements, providing stronger signals and making it easier to follow the market.
MACD DashboardThe MACD Dashboard is an addition to my collection of various dashboards that are designed to help traders make wiser decisions.
How to Use MACD Dashboard:
Timeframe Selection: Based on your trading style and preferences, choose the relevant timeframes. In the settings, enable or disable timeframes to focus on the most relevant ones for your strategy.
Dashboard Interpretation: The MACD Dashboard displays green (🟢) and red (🔴) symbols to indicate when the MACD is in green or in the red zone. You can also leverage the MACD values on the dashboard to better interpret sentiment and its changes.
Confirmation and Strategy: Consider MACD Dashboard signals as confirmation for your trading strategy. For instance, in an uptrend, look for long opportunities when the dashboard displays consistent green symbols. Conversely, in a downtrend, focus on short opportunities when red symbols dominate.
Risk Management: As with any indicator, use the MACD Dashboard in conjunction with proper risk management techniques. Avoid trading solely based on indicator signals; instead, integrate them into a comprehensive trading plan.
RSI/MACD Momentum ScalperThe RSI/MACD Momentum Scalper is a technical analysis tool designed to identify market momentum and provide actionable buy, sell, and take-profit signals by combining the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) indicators. This script uses a color-coded candle system to visually highlight trend strength and direction, making it particularly useful for scalpers and short-term traders who seek clarity and precision.
How It Works
This indicator operates on two core momentum principles: the RSI and MACD. Here's a breakdown of how it combines these components to deliver unique insights:
Relative Strength Index (RSI):
Measures the strength of price movements on a scale from 0 to 100.
A bullish trend is identified when the RSI is above 50, indicating upward momentum.
A bearish trend is identified when the RSI is below 50, signaling downward momentum.
Moving Average Convergence Divergence (MACD):
Compares two moving averages (Fast and Slow) of the price to measure trend momentum.
Generates a bullish signal when the MACD line is above the Signal line.
Generates a bearish signal when the MACD line is below the Signal line.
The indicator allows the user to select the type of moving average (EMA, DEMA, or HMA) for further customization.
Combined Momentum Analysis:
Green candles (strong bullish signal) : When both the RSI is above 50 and the MACD line is above the Signal line.
Red candles (bearish signal): When both the RSI is below 50 and the MACD line is below the Signal line.
Light grey candles (neutral signal): When only one of the conditions is true, indicating indecisiveness in market momentum.
Buy/Sell Signals:
Buy Signal: Triggered when the conditions for a bullish trend are newly met (both RSI > 50 and MACD > Signal line).
Sell Signal: Triggered when the conditions for a bearish trend are newly met (both RSI < 50 and MACD < Signal line).
Take-Profit Signals (Optional):
Highlights opportunities to exit a trade when a trend reverses:
Take-profit bullish: When a bullish trend ends.
Take-profit bearish: When a bearish trend ends.
How to Use the Indicator
Customization Options:
Trend Timeframe: Set a specific timeframe for trend analysis (e.g., 1h, 4h, 1D).
RSI Settings: Adjust the RSI length to match your trading strategy.
MACD Settings: Customize the Fast, Slow, and Signal lengths to suit market conditions.
Moving Average Type: Choose between EMA, DEMA, or HMA for the MACD calculation.
Colors: Select the colors for bullish, bearish, and neutral candles to match your preferences.
Signals and Visualization:
Enable or disable Buy/Sell Signals and Take-Profit Signals through the settings.
Use the color-coded candles to quickly assess trend direction and momentum strength:
Green: Strong upward momentum.
Red: Strong downward momentum.
Light Grey: Neutral or indecisive market.
The plotted buy (triangle up) and sell (triangle down) signals assist in identifying entry points, while take-profit (square) signals help secure gains during trend reversals.
What Makes It Unique
Integrated Approach: Combines two of the most widely-used momentum indicators (RSI and MACD) into a single tool, offering a clear, cohesive analysis of market trends.
Candle-Based Visualization: Changes the candle colors to reflect momentum, eliminating the need to constantly check separate indicator panels.
Customizability: Provides advanced options such as timeframe selection, MA type, and user-defined settings for RSI and MACD lengths, making it adaptable to different trading strategies.
Signal Precision: Goes beyond traditional RSI and MACD by offering precise buy, sell, and take-profit signals based on combined momentum logic.
Ease of Use: Tailored for both beginner and experienced traders by providing simple visual cues (candle colors and plot shapes) while retaining the depth of advanced settings.
The RSI/MACD Momentum Scalper is particularly beneficial for scalpers and intraday traders looking for a dynamic, easy-to-read tool that minimizes noise while focusing on high-probability trade opportunities.
TVMC - Composite Indicator with Technical RatingsDescription:
The TVMC (Trend, Volume, Momentum, Composite) indicator is a powerful multi-component tool designed to provide traders with a comprehensive understanding of market conditions. By combining four essential technical analysis components—trend, momentum, volume, and volatility—this indicator offers clear and actionable insights to assist in decision-making.
Key Features:
1. Trend Component (TC):
* Based on MACD (Moving Average Convergence Divergence), this component analyzes the relationship between two exponential moving averages (fast and slow) to determine the prevailing market trend.
* The MACD signal is normalized to a range of -1 to +1 for consistency and clarity.
2. Momentum Component (MC):
* Utilizes RSI (Relative Strength Index) to measure the strength and speed of price movements.
* This component highlights overbought or oversold conditions, which may indicate potential market reversals.
3. Volume Confirmation (VC):
* Compares the current trading volume to its moving average over a specified period.
* High volume relative to the average confirms the validity of the current trend.
4. Volatility Filter (VF):
* Uses ATR (Average True Range) to gauge market volatility.
* Adjusts and smooths signals to reduce noise during periods of high volatility.
5. Technical Ratings Integration:
* Incorporates TradingView’s Technical Ratings, allowing users to validate signals using moving averages, oscillators, or a combination of both.
* Users can choose their preferred source of ratings for enhanced signal confirmation.
How It Works:
The TVMC indicator combines the weighted contributions of the Trend, Momentum, and Volume components, further refined by the Volatility Filter. Each component plays a specific role:
* Trend: Identifies whether the market is bullish, bearish, or neutral.
* Momentum: Highlights the strength of price action.
* Volume: Confirms whether the current price action is supported by sufficient trading activity.
* Volatility: Filters out excessive noise in volatile market conditions, providing a smoother and more reliable output.
Visualization:
1. Bullish Signals:
* The indicator line turns green and remains above the zero line, indicating upward momentum.
2. Bearish Signals:
* The indicator line turns red and falls below the zero line, signaling downward momentum.
3. Neutral Signals:
* The line is orange and stays near zero, indicating a lack of strong trend or momentum.
4. Zones:
* Horizontal lines at +30 and -30 mark strong bullish and bearish zones, respectively.
* A zero line is included for clear separation between bullish and bearish signals.
Recommended Usage:
* Best Timeframes: The indicator is optimized for higher timeframes such as 4-hour (H4) and daily (D1) charts.
* Trading Style: Suitable for swing and positional trading.
* Customization: The indicator allows users to adjust all major parameters (e.g., MACD, RSI, volume, and ATR settings) to fit their trading preferences.
Customization Options:
* Adjustable weights for Trend, Momentum, and Volume components.
* Fully configurable settings for MACD, RSI, Volume SMA, and ATR periods.
* Timeframe selection for multi-timeframe analysis.
Important Notes:
1. Originality: The TVMC indicator combines multiple analysis methods into a unique framework. It does not replicate or minimally modify existing indicators.
2. Transparency: The description is detailed enough for users to understand the methodology without requiring access to the code.
3. Clarity: The indicator is explained in a way that is accessible even to users unfamiliar with complex technical analysis tools.
Compliance with TradingView Rules:
* The indicator is written in Pine Script version 5, adhering to TradingView’s language standards.
* The description is written in English to ensure accessibility to the global community, with a clear explanation of all components and functionality.
* No promotional content, links, or unrelated references are included.
* The chart accompanying the indicator is clean and demonstrates its intended use clearly, with no additional indicators unless explicitly explained.
