BB ATR Fractal MMThe Bollinger Bands + ATR with Fractal indicator is a powerful combination of Bollinger Bands, ATR (Average True Range), and Fractal to help identify market volatility and potential entry/exit points on the chart.
Bollinger Bands help to assess the market’s volatility by calculating upper and lower bands based on the simple moving average (SMA) and standard deviation. It’s an excellent tool for identifying overbought and oversold conditions.
ATR (Average True Range) is used to measure market volatility. It helps determine how much the price is moving, and it can be used to adjust the Bollinger Bands, creating bands that reflect the current volatility more accurately.
Fractal helps to identify peaks and troughs in the market, supporting decision-making by highlighting potential reversal points. Fractals mark regions where price may reverse direction, making it easier to spot possible trade opportunities.
How to Use:
Bollinger Bands Upper and Lower Bands: These bands help to identify overbought or oversold conditions. If the price breaks above the upper band, the market may be overbought. If the price breaks below the lower band, the market may be oversold.
ATR: It indicates the volatility level of the market. When the market shows large volatility (ATR increases), the Bollinger Bands expand to reflect higher price swings.
Fractal: Arrows appear at the market’s peaks and troughs, helping identify entry points for buying (at fractal lows) or selling (at fractal highs). These signals can help you make trading decisions based on potential price reversals.
Bands and Channels
Intraday ORB Breakout IndicatorThis is an intraday indicator works in a 15-minute timeframe.
Timeframe - 15 min
IB Range - 1-hour range after the market opens in India (i.e. 9.15 to 10.15 AM range)
If the price shows a breakout of IB High or a breakdown of IB low and the breakout/breakdown candle has less than 20% of the wick (selling wick in breakout and buying wick in breakdown) in a 15-minute chart, then it will set a flag or alert mechanism on the chart with 'Long' or 'Short' terms. It also marks the IB range (9.15 to 10.15 AM range) with two simple lines.
Traders should wait for the break of the high of the breakout candle or the low of the breakdown candle to take their trades. Besides, one should follow proper risk management rules when making trades.
// Disclaimer: This indicator is for educational purposes only.
// I am not responsible for any financial losses incurred from its use.
Intraday ORB Breakout IndicatorThis is only applicable to intraday trading in 15 minutes timeframe.
It highlights the 1-hour range in Indian markets i.e. 9.15 AM to 10.15 AM.
If the price shows a breakout of a 1-hour High or a breakdown of a 1-hour low and the breakout/breakdown candle has less than 20% of the wick (selling wick in breakout and buying wick in breakdown) in the 15-minute chart, then it will set an alert 'Long' or 'Short' on the chart.
However, to take a trade, one must wait for the break of the high of the breakout candle for a long trade or a break of the low of the breakdown candle for a short trade. Besides, one should follow proper risk management rules to manage their trades.
BTC/USD Enhanced High-Growth Impulse Strategy for 30-Min ChartOverview:
This script combines trend-following and momentum-based entry/exit signals, optimized for BTC/USD on a 30-minute timeframe. It integrates Exponential Moving Averages (EMAs), Supertrend, and Average True Range (ATR) to identify potential trade opportunities with volatility-adjusted risk management.
Indicators Explained:
Exponential Moving Averages (EMAs):
21 EMA (Short-term): Identifies fast-moving price trends.
50 EMA (Medium-term): Captures broader momentum.
200 EMA (Long-term): Filters major market direction.
These EMAs work together to signal trend crossovers, indicating shifts between bullish and bearish phases.
Supertrend:
This indicator highlights momentum and volatility. A positive Supertrend indicates strong upward momentum, while a negative Supertrend signals bearish momentum.
Average True Range (ATR):
ATR helps calculate dynamic stop loss and take profit levels. By adjusting exits to match market volatility, the strategy can respond to both fast-moving and consolidating conditions.
Entry & Exit Conditions:
Long Entry:
The 21 EMA crosses above the 50 EMA.
The price is above the Supertrend line, confirming bullish momentum.
ATR volatility is above its 50-period moving average to filter out low-volatility conditions.
Trade Exit:
A stop loss is set at 2 ATR below the entry price, and the take profit is set at 6 ATR above.
Short Entry:
The 21 EMA crosses below the 50 EMA.
The price is below the Supertrend line, confirming bearish momentum.
ATR volatility exceeds the 50-period moving average.
Trade Exit:
A stop loss is set at 2 ATR above the entry price, and take profit at 6 ATR below.
Default Strategy Settings:
Position Size: 2% of equity per trade (configurable)
Risk Management: Dynamic ATR-based stop loss and take profit
Indicators:
EMA 21, 50, and 200 for trend detection
Supertrend (factor: 3, ATR period: 10) for momentum confirmation
ATR for volatility-based risk control
Performance Metrics:
Optimal Timeframe: 30-minute chart
Backtesting Results:
Percent Profitable: 62%
Profit Factor: 1.136
Average Trade Return: 0.14%
Max Drawdown: 0.58% of equity
Total Trades: 35
The strategy demonstrates stable performance across both trending and volatile market conditions. Keep in mind that past performance does not guarantee future results.
Notes for Traders:
Test this strategy with realistic commission and slippage to ensure results are accurate for your trading environment.
While the strategy is designed for BTC/USD on the 30-minute timeframe, it may also perform well on other high-liquidity cryptocurrencies and timeframes with additional optimization.
Avoid over-leveraging. We recommend allocating 1-2% equity per trade for risk control.
Plot Information:
The script visualizes key indicators:
EMA 21 (blue), EMA 50 (red), EMA 200 (green)
Supertrend (orange)
Green/red background shading highlights bullish and bearish entry conditions.
Disclaimer:
This script is for educational purposes only. Use it as part of a comprehensive trading plan that includes proper risk management. Trading involves significant risk, and no strategy can predict future price movements with certainty.
DOGE Trend-Following Strategy – Balanced Risk & Trend (15m)This strategy is designed to capture trends in DOGE/USDT, using a combination of moving averages and momentum indicators to filter high-quality trades. It is optimized for balanced risk management with a focus on reducing drawdowns through conservative position sizing.
How the Strategy Works
Exponential Moving Averages (EMAs):
A fast EMA (default: 50) tracks short-term price momentum.
A slow EMA (default: 200) represents the broader trend.
Trades are executed when these EMAs cross, signaling shifts in market direction.
ADX (Average Directional Index):
ADX (default length: 14) confirms trend strength.
The strategy only enters trades when ADX is above 25, indicating a strong trend. This helps avoid low-confidence trades during sideways markets.
RSI (Relative Strength Index):
RSI (default: 14) helps avoid trades during overbought or oversold conditions.
Long trades are exited when RSI crosses above 70, while short trades are closed when RSI drops below 30.
Multi-Timeframe Filter:
To further validate trends, 4-hour EMAs are integrated into the strategy, keeping entries in sync with larger market movements.
Performance Highlights
Net Profit: +$2,438.85 USDT (0.24% return over testing period)
Profit Factor: 1.136 – indicating more profit than loss overall.
Closed Trades: 35
Winning Trades: 62.86%
Max Drawdown: 0.58% – representing the largest equity decrease during the test period.
Trade Duration: On average, trades last about 40 bars (10 hours on a 15-minute chart).
Trade Setup
Long Entry:
A long position is taken when:
The 50 EMA crosses above the 200 EMA,
The ADX is above 25, and
RSI is above 30 (indicating healthy momentum).
The trade is exited when RSI hits 70 or price reaches a dynamic profit or stop-loss level.
Short Entry:
A short position is entered when:
The 50 EMA crosses below the 200 EMA,
The ADX confirms trend strength above 25, and
RSI is below 70 (avoiding oversold conditions).
The short position closes if RSI drops to 30 or stop-loss/take-profit criteria are met.
Strategy Parameters
Fast EMA Length: Default set to 50.
Slow EMA Length: Default set to 200.
ADX Length: Default set to 14 with a threshold of 25 for filtering trends.
RSI: Length is 14 with overbought/oversold thresholds at 70 and 30.
Dynamic Take Profit & Stop Loss: Configurable, allowing for risk customization.
Backtesting Conditions
Account Size: $100,000
Position Size: 2% of equity per trade – within the recommended 1-5% risk management framework.
Slippage and Commission: Set to realistic values to improve accuracy.
The backtest ran on DOGE/USDT over a multi-month period, showing reliable performance on the 15-minute timeframe. While past performance is not a guarantee of future success, the results suggest this approach may offer a robust framework for trend-following traders.
Strategy Notes
This updated version prioritizes sustainability by ensuring trades risk no more than 2% of equity. The combination of multiple indicators helps avoid whipsaws and improves long-term profitability. Always test strategies with your own data and market conditions before live trading.
20-Day Low % Diff for Screenercustom column in TradingView’s stock screener using Pine Script, but TradingView doesn’t allow direct integration of Pine Script indicators into the screener.
30MA Volatile Assets StrategyThis strategy features:
Gaussian Channel with SMA basis and standard deviation bands
Stochastic RSI filter for entries
Long-only trades with 100% equity allocation
0.1% commission and no slippage
Clear entry/exit conditions based on price and indicator positions
Defined trading period from 2024 to 2069
Multi Stochastic AlertHello Everyone,
I have created a Multi Stochastic Alert based on Scalping Strategy
The Strategy uses below 4 Stochastic indicator:
1. Stochastic (9,3)
2. Stochastic (14,3)
3. Stochastic (40,4)
4. Stochastic (60,10)
Trade entry become active when all of these goes below 20 or above 80, In this indicator you don't need to use all 4, this will show red and green background whenever all of them goes below 20 or above 80.
As shown in picture below, it works better when script is making a channel, Our indicator shows green or red signal, we wait for RSI Divergence and we enter. We book when blue line (9,3) goes above 80, as shown by arrow, and trail rest at breakeven or your own trailing method
Same Situation shown for Short side. We book 50% when Blue line (9,3) Goes below 20 and trail rest at breakeven or your own trailing method
Happy trading, Let me know if any improvements required.
Donchian Reversal Scanner by Hitesh2603How It Works:
Bearish Side Logic:
If the price is falling with bearish candles and touching the lower Donchian Channel, the bearishCondition flag is set to true.
When a bullish candle appears afterward, the flag is reset, and the bullishReversalSquare condition becomes true.
Bullish Side Logic:
If the price is rising with bullish candles and touching the upper Donchian Channel, the bullishCondition flag is set to true.
When a bearish candle appears afterward, the flag is reset, and the bearishReversalSquare condition becomes true.
Plotting Squares:
A green square is plotted below the candle when bullishReversalSquare is true.
A red square is plotted above the candle when bearishReversalSquare is true.
Scanner Output:
The scanCondition variable is true when either bullishReversalSquare or bearishReversalSquare is true.
How to Use the Script:
On the Chart:
Add the script to your chart.
You will see squares plotted on the chart when the conditions are met:
Green squares below the candle for bullish reversals.
Red squares above the candle for bearish reversals.
In the Scanner:
Open the Scanner tab in TradingView.
Click on "Create New Scanner".
In the "Condition" field, select the script you just created.
Choose the market or watchlist you want to scan (e.g., "NYSE", "NASDAQ", or a custom watchlist).
Run the scan. The Scanner will return a list of instruments where the scanCondition is true.
Why This Works:
The scanCondition variable is now properly declared and used.
The plotchar function explicitly outputs the scanCondition variable as a plot, which the Scanner can recognize.
İzmir Stratejisiİzmir Stratejisi
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Order Block Finder [RTM/ICT] by Hamid OmraniOrder Block شناسایی میشه:
اگر یه کندل، High یا Low جدید ایجاد کنه و بعدش برگشت قیمت اتفاق بیفته، اون ناحیه به عنوان Order Block در نظر گرفته میشه.
برای High Block: کندل باید یه High جدید ایجاد کنه و بعدش بستهشدن کندل پایینتر از Open باشه.
برای Low Block: کندل باید یه Low جدید ایجاد کنه و بعدش بستهشدن کندل بالاتر از Open باشه.
Order Blockها رسم میشن:
High Blockها با رنگ قرمز و Low Blockها با رنگ سبز روی چارت نمایش داده میشن.
تنظیمات:
میتونی دوره Lookback و قدرت Order Block رو تغییر بدی تا با استراتژیت هماهنگ بشه.
İstanbul StratejisiBB+RSI+OBV kullanarak alım satım stratejisidir.
BB+RSI+OBV kullanarak alım satım stratejisidir.
BB+RSI+OBV kullanarak alım satım stratejisidir.
BB+RSI+OBV kullanarak alım satım stratejisidir.
BB+RSI+OBV kullanarak alım satım stratejisidir.
BB+RSI+OBV kullanarak alım satım stratejisidir.
PlanDeFi: Adaptive Trend Ribbons [ATR+RSI]#### **Overview**
The **Crypto Half-Trend Pro ** is a trend-following indicator designed to identify bullish and bearish market conditions using a combination of **moving averages, volatility adjustments, and dynamic ATR bands**. This enhanced version improves on the traditional Half-Trend system by incorporating **EMA smoothing, volatility-based adjustments, and additional fakeout/reversal detection mechanisms**.
#### **Key Features**
✅ **Trend Detection:**
- Uses a combination of fast and slow moving averages (EMA/SMA) to determine trend direction.
- Implements **Hull Moving Average (HMA)** smoothing for better trend visualization.
✅ **Dynamic ATR Bands:**
- Adjusts bands based on market volatility using **RSI-based ATR multipliers**.
- Helps identify potential **breakouts and trend reversals**.
✅ **Fakeout & Reversal Detection:**
- Detects potential **fake breakouts** by analyzing price action against extended ATR bands.
- Identifies **early reversal signals** using price crossovers and volume confirmation.
✅ **Customizable Alerts & Visuals:**
- Built-in **buy & sell signals** for trend confirmation.
- Color-coded bullish/bearish trend lines and **fakeout warnings**.
- **TradingView alerts** for trend shifts and reversals.
#### **How It Works**
🔹 The indicator calculates a **smoothed trend line** using a Hull Moving Average on dynamic price levels.
🔹 ATR bands expand/contract dynamically based on **market volatility** to improve signal accuracy.
🔹 Trend direction is confirmed when price crosses the trend line **with volume confirmation**.
🔹 **Fakeouts** are detected when price temporarily exceeds extended bands but fails to hold momentum.
🔹 **Reversal signals** are generated when price breaks back into the ATR zone with volume spikes.
#### **How to Use It**
- 📈 **Buy Signal:** When price breaks above the trend line, confirmed by volume and crossover signals.
- 📉 **Sell Signal:** When price breaks below the trend line with confirmed bearish conditions.
- 🚨 **Reversal Warning:** If price sharply re-enters the ATR zone with volume confirmation, expect a potential trend shift.
- 🛑 **Fakeout Alert:** If price temporarily breaks resistance but closes back inside, it may be a false move.
#### **Ideal For**
✔️ Crypto & Forex traders looking for **dynamic trend signals**
✔️ Swing traders wanting to **avoid fakeouts & catch reversals**
✔️ Traders seeking a **customizable, volatility-adjusted trend system**
🚀 **Try PlanDeFi: Adaptive Trend Ribbons today and improve your trend analysis!**
GOLDEN Trading System by @thejamiulThe Golden Trading System is a powerful trading indicator designed to help traders easily identify market conditions and potential breakout opportunities.
Source of this indicator :
This indicator is built on TradingView original pivot indicator but focuses exclusively on Camarilla pivots, utilising H3-H4 and L3-L4 as breakout zones.
Timeframe Selection:
Before start using it we should choose Pivot Resolution time-frame accordingly.
If you use 5min candle - use D
If you use 15min candle - use W
If you use 1H candle - use M
If you use 1D candle - use 12M
How It Works:
Sideways Market: If the price remains inside the H3-H4 as Green Band and L3-L4 as Red band, the market is considered range-bound.
Trending Market: If the price moves outside Green Band, it indicates a potential up-trend formation. If the price moves outside Red Band, it indicates a potential down-trend formation.
Additional Features:
Displays Daily, Weekly, Monthly, and Yearly Highs and Lows to help traders identify key support and resistance levels also helps spot potential trend reversal points based on historical price action. Suitable for both intraday and swing trading strategies.
This indicator is a trend-following and breakout confirmation tool, making it ideal for traders looking to improve their decision-making with clear, objective levels.
🔹 Note: This script is intended for educational purposes only and should not be considered financial advice. Always conduct your own research before making trading decisions.
Institutional Moves DetectorIndicator Name: Institutional Pattern Detector
What It Does:
Trend Following: It uses a Moving Average (MA) to understand the general direction of the price. The MA is like a smoothed-out line of the price over time, showing if the price trend is going up or down.
Volatility Measurement: The script employs Bollinger Bands (BB) to see how much the price is fluctuating. Bollinger Bands create an upper and lower "channel" around the price, which gets wider or narrower based on how volatile the price is.
Volume Check: It looks at trading volume to find times when there's unusually high activity, which could mean big players (institutions like banks or funds) are trading. It flags this when the volume is 1.5 times more than the average volume of the last 100 bars.
Pattern Detection for Trading Signals:
Entry Signal ("IN"): When there's high volume and the price is above the upper Bollinger Band, it suggests there might be strong buying from big institutions. This could mean the price might keep going up.
EXIT Signal ("OUT"): If there's high volume and the price falls below the lower Bollinger Band, it indicates possible strong selling pressure from institutions, suggesting the price might go down.
Visual Cues:
An orange label "IN" appears below the price bar for entry signals.
A red label "OUT" appears above the price bar for exit signals.
The moving average line is plotted on the chart in orange to help you see the trend.
Alerts: The script can alert you when these entry or exit signals occur, so you can get notifications without needing to stare at the chart all day.
For New Traders:
This indicator helps you spot when big traders might be influencing the market, potentially giving you a clue about when to enter or exit.
Remember, this is one tool among many. You should not base your trading solely on this; combine it with other analysis methods.
It's always wise to practice with a demo account before using real money to get a feel for how these signals work in actual market conditions.
Litecoin LTC Logarithmic Fibonacci Growth CurvesHOW THIS SCRIPT IS ORIGINAL: there is no similar script dedicated to LTC, although there are similar ones dedicated to BTC. (This was created by modifying an old public and open source similar script dedicated to BTC.)
WHAT THIS SCRIPT DOES: draws a channel containing the price of LTC within which the Fibonacci extensions are highlighted. The reference chart to use is LTC/USD on Bitfinex (because it has the oldest data, given that Tradingview has not yet created an LTC index), suggested with weekly or monthly timeframe.
HOW IT DOES IT: starting from two basic curves that average the upper and lower peaks of the price, the relative Fibonacci extensions are then built on the basis of these: 0.9098, 0.8541, 0.7639, 0.618, 0.5, 0.382, 0.2361, 0.1459, 0.0902.
HOW TO USE IT: after activating the script you will notice the presence of two areas of particular interest, the upper area, delimited in red, which follows the upper peaks of the price, and the lower area, delimited in green, which follows the lower peaks of the price. Furthermore, the main curves, namely the two extremes and the median, are also projected into the future to predict an indicative trend. This script is therefore useful for understanding where the price will go in the future and can be useful for understanding when to buy (near the green lines) or when to sell (near the red lines). It is also possible to configure the script by choosing the colors and types of lines, as well as the main parameters to define the upper and lower curve, from which the script deduces all the other lines that are in the middle.
Very easy to read and interpret. I hope this description is sufficient, but it is certainly easier to use it than to describe it.
Channels by SmanovIndicator Description
“Channels by Smanov” is a multi-channel indicator that plots dynamic support and resistance zones around a moving average line. It is composed of two main parts:
FL 1 (Flexible Channels):
A Simple Moving Average (SMA) serves as the Basis.
Upper and lower bands are calculated by adding and subtracting an ATR-based buffer from the Basis.
User-defined inputs (such as Half Length, ATR Period, and ATR Multiplier) allow for flexibility in adapting the channel width to different market conditions.
FL 2 (Fixed Channels):
Eight additional bands expand on the same SMA + ATR logic but use fixed ATR multipliers (ranging from 2.2 up to 5.0).
These extra lines can help you gauge more distant levels of potential support or resistance.
By combining an SMA (to smooth price data) with ATR (to gauge volatility), this indicator highlights areas where price may be “stretched” relative to recent volatility. Traders often use channel-based indicators to identify potential “overbought” or “oversold” conditions, as well as to spot trend continuations or reversals.
How to Use / Trading Strategy
Trend Identification (Basis Line):
The middle line (the SMA) can be used as a trend filter:
If price consistently stays above the basis, it suggests an uptrend.
If price consistently stays below the basis, it suggests a downtrend.
Reversal Opportunities (Outer Bands):
When price moves into or beyond the upper bands, it may signal overbought conditions, creating potential short (or profit-taking) opportunities.
Conversely, when price dips into or beyond the lower bands, it may signal oversold conditions, which some traders use for initiating or adding to long positions.
Breakout or Continuation Signals:
In a strong trend, price may “ride” along the outer channels.
A clear break above/below a channel that previously acted as resistance/support could hint at trend continuation.
Failure to break these levels could suggest a potential reversal or consolidation phase.
Stop-Loss Placement:
Traders often place stops just outside a relevant band. For example, if you go long on a dip near a lower band, you might place your stop slightly below that band, relying on the ATR-based buffer to reflect normal volatility.
Multiple Timeframe Analysis:
Consider confirming signals on a higher timeframe (e.g., 4-hour or daily) while taking entries on a lower timeframe.
Channels on higher timeframes can act as stronger support or resistance, offering additional confluence.
Disclaimer
This indicator is provided for educational purposes and does not guarantee specific results. Trading involves risk, and individual traders are responsible for managing their own risk and capital. Always conduct thorough analysis and use appropriate risk management (e.g., stop-losses) when entering any market positions.
Enjoy using Channels by Smanov! Your feedback and personal insights can further refine the indicator’s settings for your preferred trading style. Good luck and trade responsibly!
This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0.
© Smanov_I
Breakout Josip strategy is focused on analyzing price movements during specific time intervals (from 9:00 AM to 12:00 PM) each day. It tracks the highest and lowest prices in that period and uses them to set targets for potential trades, placing horizontal lines based on these levels. Additionally, you're interested in tracking the success and failure of trades based on whether price breaks certain levels during this time range. The strategy also calculates various metrics like the percentage of successful trades, failed trades, and total trades during a selected time range.
Quantitative Breakout Bands (AIBitcoinTrend)Quantitative Breakout Bands (AIBitcoinTrend) is an advanced indicator designed to adapt to dynamic market conditions by utilizing a Kalman filter for real-time data analysis and trend detection. This innovative tool empowers traders to identify price breakouts, evaluate trends, and refine their trading strategies with precision.
👽 What Are Quantitative Breakout Bands, and Why Are They Unique?
Quantitative Breakout Bands combine advanced filtering techniques (Kalman Filters) with statistical measures such as mean absolute error (MAE) to create adaptive price bands. These bands adjust to market conditions dynamically, providing insights into volatility, trend strength, and breakout opportunities.
What sets this indicator apart is its ability to incorporate both position (price) and velocity (rate of price change) into its calculations, making it highly responsive yet smooth. This dual consideration ensures traders get reliable signals without excessive lag or noise.
👽 The Math Behind the Indicator
👾 Kalman Filter Estimation:
At the core of the indicator is the Kalman Filter, a recursive algorithm used to predict the next state of a system based on past observations. It incorporates two primary elements:
State Prediction: The indicator predicts future price (position) and velocity based on previous values.
Error Covariance Adjustment: The process and measurement noise parameters refine the prediction's accuracy by balancing smoothness and responsiveness.
👾 Breakout Bands Calculation:
The breakout bands are derived from the mean absolute error (MAE) of price deviations relative to the filtered trendline:
float upperBand = kalmanPrice + bandMultiplier * mae
float lowerBand = kalmanPrice - bandMultiplier * mae
The multiplier allows traders to adjust the sensitivity of the bands to market volatility.
👾 Slope-Based Trend Detection:
A weighted slope calculation measures the gradient of the filtered price over a configurable window. This slope determines whether the market is trending bullish, bearish, or neutral.
👾 Trailing Stop Mechanism:
The trailing stop employs the Average True Range (ATR) to calculate dynamic stop levels. This ensures positions are protected during volatile moves while minimizing premature exits.
👽 How It Adapts to Price Movements
Dynamic Noise Calibration: By adjusting process and measurement noise inputs, the indicator balances smoothness (to reduce noise) with responsiveness (to adapt to sharp price changes).
Trend Responsiveness: The Kalman Filter ensures that trend changes are quickly identified, while the slope calculation adds confirmation.
Volatility Sensitivity: The MAE-based bands expand and contract in response to changes in market volatility, making them ideal for breakout detection.
👽 How Traders Can Use the Indicator
👾 Breakout Detection:
Bullish Breakouts: When the price moves above the upper band, it signals a potential upward breakout.
Bearish Breakouts: When the price moves below the lower band, it signals a potential downward breakout.
The trailing stop feature offers a dynamic way to lock in profits or minimize losses during trending moves.
👾 Trend Confirmation:
The color-coded Kalman line and slope provide visual cues:
Bullish Trend: Positive slope, green line.
Bearish Trend: Negative slope, red line.
👽 Why It’s Useful for Traders
Dynamic and Adaptive: The indicator adjusts to changing market conditions, ensuring relevance across timeframes and asset classes.
Noise Reduction: The Kalman Filter smooths price data, eliminating false signals caused by short-term noise.
Comprehensive Insights: By combining breakout detection, trend analysis, and risk management, it offers a holistic trading tool.
👽 Indicator Settings
Process Noise (Position & Velocity): Adjusts filter responsiveness to price changes.
Measurement Noise: Defines expected price noise for smoother trend detection.
Slope Window: Configures the lookback for slope calculation.
Lookback Period for MAE: Defines the sensitivity of the bands to volatility.
Band Multiplier: Controls the band width.
ATR Multiplier: Adjusts the sensitivity of the trailing stop.
Line Width: Customizes the appearance of the trailing stop line.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Donchian Cloud-V1The Donchian Cloud-V1 is a technical analysis indicator inspired by the Ichimoku Cloud, but with a twist. It utilizes two Donchian Channel midline calculations to create a cloud-like price zone. This indicator aims to help traders identify potential areas of support and resistance, and also suggests that trades should be avoided when prices are within the cloud.
How it Works?
The Donchian Cloud-V1 calculates two Donchian Channel midlines:
Fast Donchian Channel: This midline is based on a shorter period, making it more responsive to price changes.
Slow Donchian Channel: This midline is based on a longer period, providing a smoother and more stable cloud formation.
The upper and lower bands of the traditional Donchian Channels are discarded, and the midlines become the cloud's upper and lower boundaries.
Interpretation
Price Above the Cloud: A price move above the cloud can be interpreted as a bullish signal, suggesting potential upward momentum.
Price Below the Cloud: A price move below the cloud can be interpreted as a bearish signal, suggesting potential downward momentum.
Price Within the Cloud: The indicator advises against taking any trades when the price is within the cloud itself, as the market may be unclear or ranging.
Benefits of Using the Donchian Cloud-V1
Visually Appealing: The cloud can provide a clear and concise view of potential support and resistance zones.
Customizable: The lengths of the fast and slow Donchian Channels can be adjusted to suit your trading style and preferred timeframe.
Complements Other Indicators: The Donchian Cloud-V1 can be used in conjunction with other technical indicators to strengthen trade signals.
Limitations to Consider
Lagging Indicator: Like many technical indicators, the Donchian Cloud-V1 is based on past price data and may not always perfectly predict future price movements.
False Signals: The cloud can generate false signals, especially in volatile markets.
Not a Standalone Strategy: The Donchian Cloud-V1 should ideally be used alongside other trading strategies and risk management techniques.
The Donchian Cloud-V1 is a valuable tool for traders who want to identify potential support and resistance zones and avoid making trades during periods of market uncertainty. Remember, it's important to backtest and paper trade any indicator before using it with real capital.
Half-Trend Channel [BigBeluga]Half Trend Channel is a powerful trend-following indicator designed to identify trend direction, fakeouts, and potential reversal points. The combination of upper/lower bands, midline coloring, and specific signals makes it ideal for spotting trend continuation and market reversals.
The base of the channel is calculated using smoothed half-trend logic.
// Initialize half trend on the first bar
if barstate.isfirst
hl_t := close
// Update half trend value based on conditions
switch
closeMA < hl_t and highestHigh < hl_t => hl_t := highestHigh
closeMA > hl_t and lowestLow > hl_t => hl_t := lowestLow
=> hl_t := hl_t
// Smooth
float s_hlt = ta.hma(hl_t, len)
🔵 Key Features:
Upper and Lower Bands:
The bands adapt dynamically to market volatility.
Price movements toward the bands help identify areas of overextension and potential reversal points.
Midline Trend Signal:
The midline changes color to reflect the current trend:
Green Midline: Indicates an uptrend.
Purple Midline: Signals a downtrend.
Fakeout Signals ("X"):
"X" markers appear when price briefly breaches the outer bands but fails to sustain the move.
Fakeouts help traders identify areas where price momentum weakens.
Reversal Signals (Triangles):
Triangles (▲ and ▼) mark potential tops and bottoms:
▲ Up Triangles: Suggest a potential bottom and a reversal to the upside.
▼ Down Triangles: Indicate a potential top and a reversal to the downside.
Dynamic Trend Labels:
At the last bar, the indicator displays labels like "Trend Up" or "Trend Dn" , reflecting the current trend direction.
🔵 Usage:
Use the colored midline to determine the overall trend direction.
Monitor "X" fakeout signals to spot failed breakouts or momentum exhaustion near the bands.
Watch for reversal triangles (▲ and ▼) to identify potential trend reversals at tops or bottoms.
Combine the bands and midline signals to confirm trade entries and exits:
Enter long trades when price bounces off the lower band with a green midline.
Consider short trades when price reverses from the upper band with a purple midline.
Use the trend label (e.g., "Trend Up" or "Trend Dn") for quick confirmation of the current market state.
The Half Trend Channel is an essential tool for traders who want to follow trends, avoid fakeouts, and identify reliable tops and bottoms to optimize their trading decisions.
