Future Trend Channel [ChartPrime]The Future Trend Channel indicator is a dynamic tool for identifying trends and projecting future prices based on channel formations. The indicator uses SMA (Simple Moving Average) and volatility calculations to plot channels that visually represent trends. It also detects moments of lower momentum, indicated by neutral color changes in the channels, and projects future price levels for up to 50 bars ahead.
⯁ KEY FEATURES AND HOW TO USE
⯌ Dynamic Trend Channels :
The indicator draws channels when a trend is identified. It uses a combination of SMA and volatility to determine the direction and strength of the trend. Each channel is visualized with a specific color, where green indicates an uptrend and orange represents a downtrend.
Example of channels during uptrend and downtrend:
⯌ Momentum-Based Color Shifts :
The indicator adapts its channel colors based on momentum changes. When the starting point (Y1) of a channel is higher than its ending point (Y2) during an uptrend, the channel turns neutral, indicating lower momentum and a possible ranging market. The same applies in a downtrend, where the channel turns neutral if Y1 is lower than Y2.
Example of neutral momentum channels:
⯌ Future Price Projection :
At the end of each channel, the indicator generates a projected future price based on the midpoint of the channel. By default, this projection is made 50 bars into the future, but users can adjust the number of bars to their preference.
Example of future price projection:
⯌ Diamond Signals for Valid Trends :
Lime-colored diamonds appear when an uptrend channel is confirmed, while orange diamonds indicate valid downtrend channels. These signals confirm the presence of a strong trend and help identify valid entry and exit points. Neutral channels, which indicate lower momentum, do not show diamond signals.
Example of trend confirmation signals:
⯌ Customizable Settings :
Users can adjust the channel length (how far back the trend is analyzed) and the width (which determines the channel boundaries based on volatility). The future price projection can also be customized to forecast further or fewer bars into the future.
⯁ USER INPUTS
Trend Length : Sets the number of bars used to calculate the trend channels.
Channel Width : Adjusts the width of the channels, based on volatility (ATR multiplier).
Up and Down Colors : Allows customization of the colors used for uptrend and downtrend channels.
Future Bars : Sets the number of bars used for future price projection.
⯁ CONCLUSION
The Future Trend Channel indicator is a versatile tool for identifying and trading trends. With its ability to detect momentum shifts and project future prices, it provides traders with key insights for making more informed decisions. The use of diamond signals for trend validation adds an extra layer of confirmation, helping traders act with greater confidence during volatile or trending markets.
带和通道
Target Trend [BigBeluga]The Target Trend indicator is a trend-following tool designed to assist traders in capturing directional moves while managing entry, stop loss, and profit targets visually on the chart. Using adaptive SMA bands as the core trend detection method, this indicator dynamically identifies shifts in trend direction and provides structured exit points through customizable target levels.
SP500:
🔵 IDEA
The Target Trend indicator’s concept is to simplify trade management by providing automated visual cues for entries, stops, and targets directly on the chart. When a trend change is detected, the indicator prints an up or down triangle to signal entry direction, plots three customizable target levels for potential exits, and calculates a stop-loss level below or above the entry point. The indicator continuously adapts as price moves, making it easier for traders to follow and manage trades in real time.
When price crosses a target level, the label changes to a check mark, confirming that the target has been achieved. Similarly, if the stop-loss level is hit, the label changes to an "X," and the line becomes dashed, indicating that the stop loss has been activated. This feature provides traders with a clear visual trail of whether their targets or stop loss have been hit, allowing for easier trade tracking and exit strategy management.
🔵 KEY FEATURES & USAGE
SMA Bands for Trend Detection: The indicator uses adaptive SMA bands to identify the trend direction. When price crosses above or below these bands, a new trend is detected, triggering entry signals. The entry point is marked on the chart with a triangle symbol, which updates with each new trend change.
Automated Targets and Stop Loss Management: Upon a new trend signal, the indicator automatically plots three price targets and a stop loss level. These levels provide traders with structured exit points for potential gains and a clear risk limit. The stop loss is placed below or above the entry point, depending on the trend direction, to manage downside risk effectively.
Visual Target and Stop Loss Validation: As price hits each target, the label beside the level updates to a check mark, indicating that the target has been reached. Similarly, if the stop loss is activated, the stop loss label changes to an "X," and the line becomes dashed. This feature visually confirms whether targets or stop losses are hit, simplifying trade management.
The indicator also marks the entry price at each trend change with a label on the chart, allowing traders to quickly see their initial entry point relative to current price and target levels.
🔵 CUSTOMIZATION
Trend Length: Set the lookback period for the trend-detection SMA bands to adjust the sensitivity to trend changes.
Targets Setting: Customize the number and spacing of the targets to fit your trading style and market conditions.
Visual Styles: Adjust the appearance of labels, lines, and symbols on the chart for a clearer view and personalized layout.
🔵 CONCLUSION
The Target Trend indicator offers a streamlined approach to trend trading by integrating entry, target, and stop loss management into a single visual tool. With automatic tracking of target levels and stop loss hits, it helps traders stay focused on the current trend while keeping track of risk and reward with minimal effort.
Jusoh Sireh 1.0Based on Jim Simon and Richard Dennis trend confirmation. Jusoh Sireh 1.0 displays trend confirmation using a green, yellow, or red circle. It combines 10 indicators for a concise trend signal, ideal for clean, informed trading decisions.
Green circle (●) appears if all indicators are bullish.
Red circle (●) appears if all indicators are bearish.
Yellow circle (●) appears if the trend is mixed or inconclusive.
RSI
MACD
Bollinger Bands
Stochastic Oscillator
EMA
ATR
Fibonacci Retracement
OBV (On-Balance Volume)
Ichimoku Cloud
Price Action
Supertrend by siosiSupertrend by siosi with alarms
this script provide a special version of classic supertrend, but in this case we have a alert sistem when price touch trend
TruSMC [LuxAlgoPlus]My first extended script.
I only added some things to the LuxAlgo SMC indicator because they help improve my analysis.
Idea for Bitcoin price movement66 and 60 plot supports are important supports
Also, this idea can be used for the chart of gold and currency pairs
메가차트설명:
지표 선언:ㅁ
overlay=true로 설정하여 차트 위에 표시되도록 했습니다.
max_labels_count를 증가시켜 두 지표의 라벨을 모두 표시할 수 있도록 했습니다.
입력값:
SignalLib 설정, MCR 전략, Ichimoku Cloud 설정 등 그룹으로 나누어 입력값을 정리했습니다.
변수 이름이 겹치지 않도록 주의했습니다.
계산 부분:
SignalLib 계산:
signalLib 라이브러리를 임포트하여 매수 및 매도 신호를 생성했습니다.
direction, zee1, zee2를 signalLib 함수를 사용하여 계산했습니다.
direction의 변화에 따라 buySignal1과 sellSignal1을 결정했습니다.
MCR 전략 계산:
MACD, CCI, RSI, 가중 이동 평균선을 계산했습니다.
조건에 따라 buySignal2를 생성했습니다.
Ichimoku Cloud 계산:
donchian 함수를 정의하여 중앙값을 계산했습니다.
Ichimoku의 구성 요소인 conversionLine, baseLine, leadLine1, leadLine2를 계산했습니다.
차트에 표시:
SignalLib 라벨:
buySignal1 또는 sellSignal1이 발생할 때 label.new를 사용하여 매수 및 매도 라벨을 표시했습니다.
MCR 전략 표시:
plotshape를 사용하여 buySignal2를 표시했습니다.
가중 이동 평균선 및 MACD, CCI, RSI의 기준선을 표시했습니다.
stopLossLevel을 계산하여 손절 라인을 표시했습니다.
Ichimoku Cloud 표시:
conversionLine, baseLine, 후행스팬, 선행스팬 A (p1), 선행스팬 B (p2)를 표시했습니다.
p1과 p2 사이에 색상을 채워 구름대를 시각화했습니다.
leadLine1과 leadLine2의 관계에 따라 구름대의 색상을 조건부로 설정했습니다.
알림 조건:
buySignal2가 발생할 때 알림이 설정되도록 했습니다.
주의사항:
변수 이름:
변수 이름이 충돌하지 않도록 주의하여 명확하게 명명했습니다.
함수 정의:
donchian 함수를 스크립트 내에 포함시켜 Ichimoku 계산에 사용했습니다.
색상 및 스타일:
다양한 지표와 신호를 표현하기 위해 일관된 색상과 스타일을 사용했습니다.
투명도는 color.rgb를 사용하여 조절했습니다.
사용 방법:
이 스크립트를 TradingView 차트에 추가하면 모든 지표가 통합되어 표시됩니다.
각 그룹의 입력값을 조정하여 지표 설정을 세밀하게 조정할 수 있습니다.
스크립트는 매수 및 매도 신호, MCR 전략 지표, Ichimoku Cloud를 차트에 표시합니다.
Trendline and Support/Resistance Strategy//@version=5
indicator("Trendline and Support/Resistance Strategy", overlay=true)
// Inputs for customization
resistanceColor = input.color(color.red, "Resistance Zone Color")
supportColor = input.color(color.green, "Support Zone Color")
trendColor = input.color(color.blue, "Trendline Color")
volMultiplier = input.float(1.2, "Volume Multiplier for Signal Confirmation")
// Define support and resistance zones based on recent high and low
supportLevel = ta.lowest(swinglow(10), 10)
resistanceLevel = ta.highest(swinghigh(10), 10)
// Trendline based on moving average
ma20 = ta.sma(close, 20)
plot(ma20, color=trendColor, linewidth=2, title="20-period SMA")
// Draw support and resistance zones
bgcolor(close < supportLevel ? supportColor : na, transp=85, title="Support Zone")
bgcolor(close > resistanceLevel ? resistanceColor : na, transp=85, title="Resistance Zone")
hline(supportLevel, "Support Level", color=supportColor, linewidth=1)
hline(resistanceLevel, "Resistance Level", color=resistanceColor, linewidth=1)
// Volume condition for confirmation
avgVolume = ta.sma(volume, 20)
volumeCondition = volume > avgVolume * volMultiplier
// Buy (Long) Condition
longCondition = (close > resistanceLevel and volumeCondition) or (close > supportLevel and close > ma20 and volumeCondition)
if (longCondition)
label.new(bar_index, na, "Long Signal", color=color.green, style=label.style_label_down, textcolor=color.white)
alert("Buy (Long) Condition Met for JUP/USDT", alert.freq_once_per_bar_close)
// Sell (Short) Condition
shortCondition = (close < supportLevel and volumeCondition) or (close < resistanceLevel and close < ma20 and volumeCondition)
if (shortCondition)
label.new(bar_index, na, "Short Signal", color=color.red, style=label.style_label_up, textcolor=color.white)
alert("Sell (Short) Condition Met for JUP/USDT", alert.freq_once_per_bar_close)
// Alerts
alertcondition(longCondition, title="Long Condition", message="Buy (Long) Condition Met for JUP/USDT")
alertcondition(shortCondition, title="Short Condition", message="Sell (Short) Condition Met for JUP/USDT")
// Plotting volume for reference
plot(volume, color=color.gray, title="Volume", style=plot.style_columns)
hline(avgVolume * volMultiplier, "Volume Threshold", color=color.purple, linestyle=hline.style_dotted)
VWAP Stdev Bands Strategy (Long Only)The VWAP Stdev Bands Strategy (Long Only) is designed to identify potential long entry points in trending markets by utilizing the Volume Weighted Average Price (VWAP) and standard deviation bands. This strategy focuses on capturing upward price movements, leveraging statistical measures to determine optimal buy conditions.
Key Features:
VWAP Calculation: The strategy calculates the VWAP, which represents the average price a security has traded at throughout the day, weighted by volume. This is an essential indicator for determining the overall market trend.
Standard Deviation Bands: Two bands are created above and below the VWAP, calculated using specified standard deviations. These bands act as dynamic support and resistance levels, providing insight into price volatility and potential reversal points.
Trading Logic:
Long Entry Condition: A long position is triggered when the price crosses below the lower standard deviation band and then closes above it, signaling a potential price reversal to the upside.
Profit Target: The strategy allows users to set a predefined profit target, closing the long position once the specified target is reached.
Time Gap Between Orders: A customizable time gap can be specified to prevent multiple orders from being placed in quick succession, allowing for a more controlled trading approach.
Visualization: The VWAP and standard deviation bands are plotted on the chart with distinct colors, enabling traders to visually assess market conditions. The strategy also provides optional plotting of the previous day's VWAP for added context.
Use Cases:
Ideal for traders looking to engage in long-only positions within trending markets.
Suitable for intraday trading strategies or longer-term approaches based on market volatility.
Customization Options:
Users can adjust the standard deviation values, profit target, and time gap to tailor the strategy to their specific trading style and market conditions.
Note: As with any trading strategy, it is important to conduct thorough backtesting and analysis before live trading. Market conditions can change, and past performance does not guarantee future results.
PTS - Bollinger Bands with Trailing StopPTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
Thought for 1m 7s
Description for the "PTS - Bollinger Bands with Trailing Stop" Strategy
PTS - Bollinger Bands with Trailing Stop Strategy
Overview
The "PTS - Bollinger Bands with Trailing Stop" strategy is designed to capitalize on strong bullish market movements by combining the Bollinger Bands indicator with a dynamic trailing stop based on the Average True Range (ATR). This strategy aims to enter long positions during upward breakouts and protect profits through an adaptive exit mechanism.
Key Features
1. Bollinger Bands Indicator
Basis Moving Average Type: Choose from SMA, EMA, SMMA, WMA, or VWMA for the Bollinger Bands' basis line. Length: Adjustable period for calculating the moving average and standard deviation (default is 20). Standard Deviation Multiplier (StdDev): Determines the width of the bands (default is 2.0). Source: Select the price data used for calculations (default is the closing price).
2. Entry Conditions
The strategy enters a long position when the closing price crosses above the upper Bollinger Band , indicating strong upward momentum.
3. Exit Conditions
Trailing Stop Loss: Implemented using ATR to adjust dynamically with market volatility. ATR Length: Period for calculating ATR (default is 14). ATR Multiplier for Trailing Stop: Determines how closely the trailing stop follows the price (default is 2.0). Close Below Lower Bollinger Band: The strategy exits the long position if the closing price crosses below the lower Bollinger Band .
4. Risk Management
Commission and Slippage: Commission is set at 0.1%; slippage is set to 3. Position Sizing: Uses 100% of equity per trade (adjustable).
5. Date Range Filter
Specify the time period during which the strategy is active. Start Date: January 1, 2018. End Date: December 31, 2069.
Customizable Inputs
BB Length: Adjust the period for Bollinger Bands calculation. BB StdDev: Modify the standard deviation multiplier. Basis MA Type: Select the moving average type. Source: Choose the price data source. Offset: Shift the Bollinger Bands on the chart. ATR Length: Set the period for ATR calculation. ATR Multiplier for Trailing Stop: Adjust the trailing stop sensitivity.
How the Strategy Works
1. Initialization
Calculates Bollinger Bands and ATR based on selected parameters.
2. Entry Logic
Opens a long position when the closing price exceeds the upper Bollinger Band.
3. Exit Logic
Uses a trailing stop loss based on ATR. Exits if the closing price drops below the lower Bollinger Band.
4. Date Filtering
Executes trades only within the specified date range.
Advantages
Adaptive Risk Management: Trailing stop adjusts to market volatility. Simplicity: Clear entry and exit signals. Customizable Parameters: Tailor the strategy to different assets or conditions.
Considerations
Aggressive Position Sizing: Using 100% equity per trade is high-risk. Market Conditions: Best in trending markets; may produce false signals in sideways markets. Backtesting: Always test on historical data before live trading.
Disclaimer
This strategy is intended for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Assess your financial situation and consult a financial advisor if necessary.
Usage Instructions
1. Apply the Strategy: Add it to your TradingView chart. 2. Configure Inputs: Adjust parameters to suit your style and asset. 3. Analyze Backtest Results: Use the Strategy Tester. 4. Optimize Parameters: Experiment with input values. 5. Risk Management: Evaluate position sizing and incorporate risk controls.
Final Notes
The "PTS - Bollinger Bands with Trailing Stop" strategy provides a framework to leverage momentum breakouts while managing risk through adaptive trailing stops. Customize and test thoroughly to align with your trading objectives.
griddraw//@version=5
indicator("griddraw", overlay=true)
// دریافت ورودیها
highestPrice = input.float(title="Highest Price", defval=100)
lowestPrice = input.float(title="Lowest Price", defval=50)
divisions = input.int(title="Number of Divisions", defval=5, minval=1)
// محاسبه فاصله بین هر خط
stepSize = (highestPrice - lowestPrice) / divisions
// رسم خط بالاترین قیمت
line.new(x1=bar_index , y1=highestPrice, x2=bar_index, y2=highestPrice, color=color.green, width=2)
// رسم خط پایینترین قیمت
line.new(x1=bar_index , y1=lowestPrice, x2=bar_index, y2=lowestPrice, color=color.red, width=2)
// رسم خطوط میانی
for i = 1 to divisions - 1
level = lowestPrice + stepSize * i
line.new(x1=bar_index , y1=level, x2=bar_index, y2=level, color=color.blue, width=1)
Previous 4-Hour and Previous Hourly High/LowDescription:
This script is designed to help traders identify recent support and resistance levels by displaying the Previous 4-Hour and Previous Hourly High/Low prices on the chart. By tracking the highs and lows of both the last completed 4-hour and hourly candles, this indicator provides a clear view of price action on short-term timeframes, useful for intraday analysis.
Functionality:
Previous 4-Hour High and Low: The script captures the highest and lowest prices of the last fully closed 4-hour candle, updating these levels at the beginning of each new 4-hour period.
Previous Hourly High and Low: Similarly, it records the high and low of the most recent completed hourly candle, refreshing at the start of each hour.
How to Use: With these levels displayed, traders can quickly spot areas of potential support and resistance, making this tool valuable for gauging short-term price action trends. The indicator is especially useful for those trading within shorter timeframes, such as scalpers or day traders, who benefit from knowing where prices have recently ranged.
The Previous 4-Hour High/Low is marked with Green and Red lines, while the Previous Hourly High/Low uses Blue and Orange lines, making each timeframe’s levels easily distinguishable.
This script offers a simple yet powerful addition to short-term trading setups, giving traders multi-timeframe insights to inform their trading decisions.
The Ultimate ATR-BBW Market Volatility Indicator"The ATR-BBW Market Volatility Indicator combines the Average True Range (ATR) and Bollinger Bands Width (BBW) to provide a measure of market volatility. This indicator does not indicate bullish or bearish trends, but rather the magnitude of price fluctuations.
* Usage: When the indicator moves upward, it suggests increasing market volatility, indicating that prices are moving within a wider range. Conversely, a downward movement implies decreasing volatility, signifying that prices are moving within a narrower range.
* Note: This sub-indicator solely reflects market volatility and does not provide buy or sell signals.
Investing involves risk. Please conduct thorough research before making any investment decisions.
ATR and BBW Explained:
* Average True Range (ATR): ATR is a technical analysis indicator used to measure market volatility. It calculates the average of a series of true ranges, where the true range is the greatest of the following:
* The current high minus the current low
* The absolute value of the current high minus the previous close
* The absolute value of the current low minus the previous close
* A higher ATR value indicates higher volatility, while a lower value suggests lower volatility.
* Bollinger Bands Width (BBW): Bollinger Bands are plotted two standard deviations above and below a simple moving average. BBW measures the distance between the upper and lower bands. A wider BBW indicates higher volatility, as prices are moving further away from the moving average. Conversely, a narrower BBW suggests lower volatility.
Combining ATR and BBW:
By combining ATR and BBW, the ATR-BBW indicator provides a more comprehensive view of market volatility. ATR captures the overall volatility of the market, while BBW measures the volatility relative to the moving average. Together, they provide a more robust indicator of market conditions and can be used to identify potential trading opportunities.
Why ATR and BBW are Effective for Measuring Volatility:
* ATR directly measures the actual price movement, regardless of the direction.
* BBW shows how much prices are deviating from their average, indicating the strength of the current trend.
* Combined: By combining these two measures, the ATR-BBW indicator provides a more comprehensive and accurate assessment of market volatility.
In essence, the ATR-BBW indicator helps traders understand the magnitude of price fluctuations, allowing them to make more informed trading decisions.
Bollinger Bands & 9 EMA CrossIndicators used
BB - 20 MA
EMA - 9
The indicator gives a signal when EMA 9 crossed above or below to BB's 20 MA.
ATR Stoploss Finder (multiple lines)This is adapted from the ATR Stoploss Finder by veryfid. I've simply added the option for displaying different multiples of the ATR on the chart simultaneously. This can be useful for quickly identifying various take profit and stoploss points using different multiples of the ATR without having to change indicator settings every time.
Dynamic Levels, Channels & Real-time Signals Milad_zashمحاسبه نقاط پیوت:
pivotHigh: بالاترین نقطه پیوت برای تعیین روند صعودی.
pivotLow: پایینترین نقطه پیوت برای تعیین روند نزولی.
رسم خطوط داینامیک:
خطوط داینامیک با استفاده از dynamicTrendHigh و dynamicTrendLow ترسیم میشوند. این خطوط بر اساس نقاط پیوت به روز رسانی میشوند.
کانالها:
اگر گزینه showChannels فعال باشد، خطوط کانال با رنگ سبز رسم میشوند که با استفاده از مقدار multiplier محاسبه میشوند. این خطوط در بالای و پایین خطوط داینامیک ترسیم میشوند.
خطوط عکسالعمل:
خطوط عکسالعمل (اندروز) با رنگ نارنجی رسم میشوند. این خطوط در بالای و پایین خطوط داینامیک رسم میشوند تا نقاط احتمالی برگشت قیمت را نمایش دهند.
شرایط سیگنال خرید و فروش:
سیگنال خرید زمانی صادر میشود که قیمت از dynamicTrendLow عبور کند.
سیگنال فروش زمانی صادر میشود که قیمت از dynamicTrendHigh عبور کند.
نتیجهگیری
در کد شما، به طور خاص هیچ خط زردی وجود ندارد. اما خطوطی که به رنگ نارنجی هستند (خطوط عکسالعمل) میتوانند در برخی از نرمافزارهای نموداری با رنگ زرد نمایش داده شوند. اگر خطوط زرد در نمودار خود مشاهده میکنید، احتمالاً به تنظیمات یا نوع رنگهای نرمافزاری که استفاده میکنید مربوط میشود.
اگر سؤالات بیشتری دارید یا نیاز به توضیحات بیشتری دربارهی نحوه کارکرد کد دارید، خوشحال میشوم کمک کنم!
기간별 최고점/최저점/중간점 박스 표시 및 매수 신호코드 설명
기존 기능 유지:a
최고점, 최저점, 중간점을 라인으로 표시합니다.
박스를 사용하여 지정된 기간 동안의 최고점과 최저점을 시각화합니다.
매수 조건 추가:
wma120: 120일 가중 이동 평균선을 계산합니다.
macdLine: MACD 라인을 계산하여 0보다 큰지를 확인합니다.
cci: CCI(Commodity Channel Index)를 계산하여 100 이상인지 확인합니다.
rsi: RSI(Relative Strength Index)를 계산하여 50 이상인지 확인합니다.
매수 신호 박스:
buySignal 조건이 충족되면 buyBox라는 녹색 박스를 생성하여 매수 시점을 시각적으로 표시합니다.
plotshape를 사용하여 매수 신호가 발생한 곳에 "매수"라는 텍스트를 표시합니다.
이 코드를 사용하면 설정된 매수 조건을 만족할 때마다 차트에 녹색 박스와 함께 매수 신호가 표시됩니다.
30 Minute Price Change30 Min Price Change - designed to use as an alert should price move 50 points in 30 minutes.
Market cipher B (Chadauskas)Market cipher B (Chadauskas) fdggggggaffffffffffffffff dfgshg cvbvdfuifvneovubfck cxvkjdfjnfgvonfv xfvkvbfifjdsjvxf vbvfnvnkxjfvjndgf fvcxgvnsdfjnxcn, vxfvfdgb
MA Crossover with RSI FilterExplanation of Key Components
Input Parameters:
shortMaLength and longMaLength: Configure the lengths for the short and long moving averages.
rsiLength: RSI period length, typically set to 14.
rsiOverbought and rsiOversold: Levels used to filter entry signals and avoid trades when the market may be too overbought or oversold.
Moving Averages:
shortMa and longMa calculate the short and long moving averages.
Entry Conditions:
Long Condition: Enters a long position when the short MA crosses above the long MA, indicating an uptrend, and RSI is below the overbought level.
Short Condition: Enters a short position when the short MA crosses below the long MA, indicating a downtrend, and RSI is above the oversold level.
Exit Conditions:
Take Profit and Stop Loss: Optional criteria for exiting trades based on percentage gains or losses. For instance, you can take profit at 2% gain and stop at 1% loss.
Plotting:
Plots the short and long moving averages on the chart and displays the RSI with overbought/oversold levels.
How to Use
Copy the code and paste it into TradingView’s Pine Script editor.
Click “Add to Chart” to see the signals plotted on your chart.
Open the “Strategy Tester” tab to view the backtest results, including net profit, win rate, and other key metrics.
Tips for Optimization
Adjust Moving Average Periods: Test different values for shortMaLength and longMaLength to find the most profitable combination for the specific asset or timeframe.
Change Take Profit and Stop Loss Percentages: Fine-tuning these levels can significantly affect your overall profit and risk.
Add Additional Filters: Volume filters or additional indicators can be added to refine the entries.
This strategy is versatile and performs well in trending markets. You can further customize it for other indicators if needed!
MMAPMarket Maker Aggression & Panic
Here's how it works:
Bollinger Bands: The script calculates and plots the Bollinger Bands, which helps you identify potential aggressive buying or panic selling when the price breaks above or below the bands.
Volume Analysis: It checks for volume spikes compared to the average volume over a specified period. If the volume exceeds a defined threshold, the background color changes to orange, indicating a potential market maker reaction.
Alerts: Alerts are set for volume spikes, aggressive buying (when the price breaks above the upper Bollinger Band), and panic selling (when it drops below the lower Bollinger Band).
Feel free to customize the parameters to fit your trading style!