Andean Oscillator - static BTC.D + TOTAL v2Andean with some extras static data for total btc.d + total
比尔威廉姆斯指标
Ichimoku + RSI + MACD + HTF Divergence + EMA Cross Strategyبا اضافه کردن کراسهای EMA 50 و 100، استراتژی بهبود یافته و نقاط ورود دقیقتری ایجاد میکند. این کراسها به عنوان تأییدیههای اضافی برای روند و قدرت حرکت قیمت عمل میکنند و میتوانند به کاهش سیگنالهای نادرست کمک کنند
Ichimoku + RSI + MACD + HTF Divergence + EMA Cross Strategyبا اضافه کردن کراسهای EMA 50 و 100، استراتژی بهبود یافته و نقاط ورود دقیقتری ایجاد میکند. این کراسها به عنوان تأییدیههای اضافی برای روند و قدرت حرکت قیمت عمل میکنند و میتوانند به کاهش سیگنالهای نادرست کمک کنند
kaka_pinbarThis strategy gives buy and sell signals based on a pin bar in the 1-minute timeframe, within supply and demand zones in the 15-minute timeframe.
Mbah Mul ReversalInputs:
showCRB1 and showCRB2 are boolean inputs to toggle the display of CRB1 (Bearish Reversal) and CRB2 (Bullish Reversal) signals.
numCandles is an integer input to specify the number of candles to consider.
Historical Data:
The script retrieves the previous candle's open, close, high, and low prices using request.security.
CRB1 (Bearish Reversal):
Checks if the previous candle was bullish (close_prev > open_prev).
Checks if the current high is higher than the previous high.
Checks if the current close is within a specific range or lower than the previous open.
If all conditions are met, it places a "SELL" label above the current high.
CRB2 (Bullish Reversal):
Checks if the previous candle was bearish (close_prev < open_prev).
Checks if the current low is lower than the previous low.
Checks if the current close is within a specific range or higher than the previous open.
If all conditions are met, it places a "BUY" label below the current low.
RSI & Williams %R StrategyRSI 14 is calculated using the default rsi formula.
RSI's Moving Average is calculated using a simple moving average (default length is 7 but adjustable).
Williams %R is calculated over the specified length (default is 14).
Buy Signal:
RSI crosses above its moving average.
Williams %R crosses above the -80 level.
Sell Signal:
RSI crosses below its moving average.
Williams %R crosses below the -20 level.
Visual Indicators:
Green upward labels for buy signals.
Red downward labels for sell signals.
Williams %R and RSI are plotted for better visualization with threshold levels.
AEGIS TRADING SIGNALAEGIS TRADING SIGNAL RSI Calculation: Tính chỉ số RSI dựa trên giá đóng cửa với độ dài mặc định là 14.
RSI Higher Lows: Kiểm tra RSI tạo 3 đáy cao dần, tất cả đều nằm dưới ngưỡng 20.
Price Lower Lows: Kiểm tra đường giá tạo 3 đáy thấp dần.
Buy Signal: Khi cả hai điều kiện trên thỏa mãn, chỉ báo hiển thị tín hiệu mua (hình tam giác nhỏ màu xanh lá cây bên dưới nến).
RSI Visualization: Vẽ đường RSI và ngưỡng 20 để bạn dễ quan sát.
Fractal AlligatorBased on Williams Alligator and Fractals with the inclusion of EMA and SMA for trend detection
Dashboard with Pattern Confirmation📊 Dashboard with Pattern Confirmation 📊
Welcome to the Dashboard with Pattern Confirmation indicator! This powerful tool is designed to help you identify key candlestick patterns and confirm their validity using additional technical indicators. Whether you're a beginner or an experienced trader, this dashboard provides a clear and concise overview of market conditions, helping you make better trading decisions.
🎯 What Does It Do?
This indicator combines candlestick pattern detection with technical confirmation tools to give you a comprehensive view of the market. It detects two popular patterns:
🔨 Hammer: A bullish reversal pattern that often signals a potential price bounce.
📈 Bullish Engulfing: A strong bullish reversal pattern where a green candle completely engulfs the previous red candle.
To ensure these patterns are reliable, the dashboard also includes:
📉 RSI (Relative Strength Index): Identifies overbought or oversold conditions.
📊 SMA 50 (Simple Moving Average): Confirms the trend direction (uptrend or downtrend).
📈 ATR (Average True Range): Measures market volatility.
📊 Volume: Tracks whether trading volume is increasing or decreasing.
🛠️ How to Use It
Pattern Detection: The dashboard will show you if a Hammer or Bullish Engulfing pattern is present with a ✅ or ❌.
Confirmation: For a pattern to be considered "Confirmed," it must meet additional criteria:
The trend must be upward (price above SMA 50).
The RSI must indicate oversold conditions (RSI < 30).
Dashboard Overview: The table provides a quick snapshot of key metrics, including RSI, SMA 50, ATR, and Volume, along with their current status (e.g., "Uptrend," "Oversold," "High Vol").
🚀 Why Use This Indicator?
Save Time: No need to manually check multiple indicators—everything is displayed in one place.
Increase Confidence: Confirmed patterns are more likely to lead to successful trades.
Stay Informed: Real-time updates on market conditions help you stay ahead of the game.
💡 Pro Tips
Combine this dashboard with other tools like support/resistance levels for even better results.
Use the "Confirmed" status as a filter to avoid false signals.
Adjust the table's position (e.g., position.bottom_right) if it obstructs your chart.
🌟 Happy Trading!
With the Dashboard with Pattern Confirmation, you'll have all the essential information at your fingertips. Whether you're scalping, swing trading, or investing, this tool will help you trade smarter and more confidently. Let’s crush those goals! 🚀📈
Feel free to customize or tweak the indicator to suit your trading style. If you have any questions or suggestions, don’t hesitate to reach out. Happy trading! 🎉
1 Minute Candle Strategythe script will work on any time frame, but specifically mentioned on 1 minutes candles. when applied on a 1 minutes chart the script will execute based on minute candle.
Vingativo ScriptVingativo Script
Vingativo Script
Vingativo Script
Vingativo Script
Vingativo Script
Vingativo Script
Fibobull Düzeltme Türkce Vol.2//@version=5
//@fibobull
indicator("Fibobull Düzeltme Türkce Vol.2", overlay=true)
devTooltip = "Deviation is a multiplier that affects how much the price should deviate from the previous pivot in order for the bar to become a new pivot."
depthTooltip = "The minimum number of bars that will be taken into account when calculating the indicator."
// Pivots threshold
threshold_multiplier = input.float(title="Deviation", defval=10, minval=0, tooltip=devTooltip)
depth = input.int(title="Depth", defval=3, minval=2, tooltip=depthTooltip)
reverse = input(false, "Reverse", display = display.data_window)
var extendLeft = input(false, "Extend Left | Extend Right", inline = "Extend Lines")
var extendRight = input(true, "", inline = "Extend Lines")
var extending = extend.none
if extendLeft and extendRight
extending := extend.both
if extendLeft and not extendRight
extending := extend.left
if not extendLeft and extendRight
extending := extend.right
prices = input(true, "Show Prices", display = display.data_window)
levels = input(true, "Show Levels", inline = "Levels", display = display.data_window)
labelsPosition = input.string("Left", "Labels Position", options = , display = display.data_window)
var int backgroundTransparency = input.int(85, "Background Transparency", minval = 0, maxval = 100, display = display.data_window)
// Text size input
textSize = input.string(title="Text Size", defval="normal", options= , display = display.data_window)
import TradingView/ZigZag/7 as zigzag
update() =>
var settings = zigzag.Settings.new(threshold_multiplier, depth, color(na), false, false, false, false, "Absolute", true)
var zigzag.ZigZag zigZag = zigzag.newInstance(settings)
var zigzag.Pivot lastP = na
var float startPrice = na
var float endPrice = na // End price değişkenini ekliyoruz
var float height = na
settings.devThreshold := ta.atr(10) / close * 100 * threshold_multiplier
if zigZag.update()
lastP := zigZag.lastPivot()
if not na(lastP)
var line lineLast = na
if na(lineLast)
lineLast := line.new(lastP.start, lastP.end, xloc=xloc.bar_time, color=color.gray, width=1, style=line.style_dashed)
else
line.set_first_point(lineLast, lastP.start)
line.set_second_point(lineLast, lastP.end)
startPrice := reverse ? lastP.start.price : lastP.end.price
endPrice := reverse ? lastP.end.price : lastP.start.price // End price'i burada atıyoruz
height := (startPrice > endPrice ? -1 : 1) * math.abs(startPrice - endPrice)
= update()
_draw_line(price, col) =>
var id = line.new(lastP.start.time, lastP.start.price, time, price, xloc=xloc.bar_time, color=col, width=1, extend=extending)
line.set_xy1(id, lastP.start.time, price)
line.set_xy2(id, lastP.end.time, price)
id
_draw_label(price, txt, txtColor) =>
x = labelsPosition == "Left" ? lastP.start.time : not extendRight ? lastP.end.time : time
labelStyle = labelsPosition == "Left" ? label.style_label_right : label.style_label_left
align = labelsPosition == "Left" ? text.align_right : text.align_left
var id = label.new(x=x, y=price, xloc=xloc.bar_time, text=txt, textcolor=txtColor, style=labelStyle, textalign=align, color=#00000000, size=textSize)
label.set_xy(id, x, price)
label.set_text(id, txt)
label.set_textcolor(id, txtColor)
_label_txt(level, price) =>
(levels ? level : "") + (prices ? " (" + str.tostring(price, format.mintick) + ")" : "")
_crossing_level(series float sr, series float r) =>
(r > sr and r < sr ) or (r < sr and r > sr )
processLevel(bool show, float value, string label, color colorL, line lineIdOther) =>
r = startPrice + height * value
crossed = _crossing_level(close, r)
if show and not na(lastP)
lineId = _draw_line(r, colorL)
_draw_label(r, _label_txt(label, r), colorL)
if crossed
alert("Autofib: " + syminfo.ticker + " crossing level " + str.tostring(label))
if not na(lineIdOther)
linefill.new(lineId, lineIdOther, color = color.new(colorL, backgroundTransparency))
lineId
else
lineIdOther
// Define the text values and colors for each level
show_tepe = input(true, "Show Tepe", display = display.data_window)
color_tepe = input(color.new(color.gray, 50), "Tepe Color", display = display.data_window)
show_tepeye_yakin = input(true, "Show Tepeye Yakın", display = display.data_window)
color_tepeye_yakin = input(color.new(color.green, 50), "Tepeye Yakın Color", display = display.data_window)
show_hala_duzeltiyor = input(true, "Show Düzeltiyor", display = display.data_window)
color_hala_duzeltiyor = input(color.new(color.red, 50), "Düzeltiyor Color", display = display.data_window)
show_alim_yerleri = input(true, "Show Alım Yerleri", display = display.data_window)
color_alim_yerleri = input(color.new(color.blue, 50), "Alım Yerleri Color", display = display.data_window)
show_alabilirsin = input(true, "Show Alabilirsin", display = display.data_window)
color_alabilirsin = input(color.new(color.orange, 50), "Alabilirsin Color", display = display.data_window)
show_almaya_devam = input(true, "Show Almaya Devam", display = display.data_window)
color_almaya_devam = input(color.new(color.purple, 50), "Almaya Devam Color", display = display.data_window)
show_maliyet_dusur = input(true, "Show Maliyet Düşür", display = display.data_window)
color_maliyet_dusur = input(color.new(color.yellow, 50), "Maliyet Düşür Color", display = display.data_window)
show_maliyet_dusur_stop_ol = input(true, "Show Maliyet Düşür - Altında Stop OL", display = display.data_window)
color_maliyet_dusur_stop_ol = input(color.new(color.red, 50), "Maliyet Düşür - Altında Stop OL Color", display = display.data_window)
// Determine the text labels based on the direction
labelTepe = startPrice > endPrice ? "Tepe" : "Dip"
labelTepeyeYakin = startPrice > endPrice ? "Tepeye Yakın" : "Dibe Yakın"
labelHalaDuzeltiyor = startPrice > endPrice ? "Düzeltiyor" : "Düşüşü Düzeltiyor"
labelAlimYerleri = startPrice > endPrice ? "Alış Yerleri" : "Satış Yerleri"
labelAlabilirsin = startPrice > endPrice ? "Alabilirsin" : "Satabilirsin"
labelAlmayaDevam = startPrice > endPrice ? "Almaya Devam" : "Satmaya Devam"
labelMaliyetDusur = startPrice > endPrice ? "Maliyet Düşür" : "Stop Hazırlan"
labelMaliyetDusurStopOl = startPrice > endPrice ? "Maliyet Düşür-Altında Stop OL" : "Son Seviye Üstünde Stop OL"
// Process each text level
lineIdTepe = processLevel(show_tepe, 0.0, labelTepe, color_tepe, line(na))
lineIdTepeyeYakin = processLevel(show_tepeye_yakin, 0.236, labelTepeyeYakin, color_tepeye_yakin, lineIdTepe)
lineIdHalaDuzeltiyor = processLevel(show_hala_duzeltiyor, 0.382, labelHalaDuzeltiyor, color_hala_duzeltiyor, lineIdTepeyeYakin)
lineIdAlimYerleri = processLevel(show_alim_yerleri, 0.5, labelAlimYerleri, color_alim_yerleri, lineIdHalaDuzeltiyor)
lineIdAlabilirsin = processLevel(show_alabilirsin, 0.618, labelAlabilirsin, color_alabilirsin, lineIdAlimYerleri)
lineIdAlmayaDevam = processLevel(show_almaya_devam, 0.65, labelAlmayaDevam, color_almaya_devam, lineIdAlabilirsin)
lineIdMaliyetDusur = processLevel(show_maliyet_dusur, 0.786, labelMaliyetDusur, color_maliyet_dusur, lineIdAlmayaDevam)
lineIdMaliyetDusurStopOl = processLevel(show_maliyet_dusur_stop_ol, 1.0, labelMaliyetDusurStopOl, color_maliyet_dusur_stop_ol, lineIdMaliyetDusur)
Bullish Reversal Bar Strategy [Skyrexio]Overview
Bullish Reversal Bar Strategy leverages the combination of candlestick pattern Bullish Reversal Bar (description in Methodology and Justification of Methodology), Williams Alligator indicator and Williams Fractals to create the high probability setups. Candlestick pattern is used for the entering into trade, while the combination of Williams Alligator and Fractals is used for the trend approximation as close condition. Strategy uses only long trades.
Unique Features
No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator or the candlestick pattern invalidation to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs)
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Trend Trade Filter: strategy uses Alligator and Fractal combination as high probability trend filter.
Methodology
The strategy opens long trade when the following price met the conditions:
1.Current candle's high shall be below the Williams Alligator's lines (Jaw, Lips, Teeth)(all details in "Justification of Methodology" paragraph)
2.Price shall create the candlestick pattern "Bullish Reversal Bar". Optionally if MFI and AO filters are enabled current candle shall have the decreasing AO and at least one of three recent bars shall have the squat state on the MFI (all details in "Justification of Methodology" paragraph)
3.If price breaks through the high of the candle marked as the "Bullish Reversal Bar" the long trade is open at the price one tick above the candle's high
4.Initial stop loss is placed at the Bullish Reversal Bar's candle's low
5.If price hit the Bullish Reversal Bar's low before hitting the entry price potential trade is cancelled
6.If trade is active and initial stop loss has not been hit, trade is closed when the combination of Alligator and Williams Fractals shall consider current trend change from upward to downward.
Strategy settings
In the inputs window user can setup strategy setting:
Enable MFI (if true trades are filtered using Market Facilitation Index (MFI) condition all details in "Justification of Methodology" paragraph), by default = false)
Enable AO (if true trades are filtered using Awesome Oscillator (AO) condition all details in "Justification of Methodology" paragraph), by default = false)
Justification of Methodology
Let's explore the key concepts of this strategy and understand how they work together. The first and key concept is the Bullish Reversal Bar candlestick pattern. This is just the single bar pattern. The rules are simple:
Candle shall be closed in it's upper half
High of this candle shall be below all three Alligator's lines (Jaw, Lips, Teeth)
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either:
Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal.
Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal.
Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy.
How do these tools work together in this strategy? Let’s consider an example of an uptrend.
When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish.
The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals.
How we can use all these indicators in this strategy? This strategy is a counter trend one. Candle's high shall be below all Alligator's lines. During this market stage the bullish reversal bar candlestick pattern shall be printed. This bar during the downtrend is a high probability setup for the potential reversal to the upside: bulls were able to close the price in the upper half of a candle. The breaking of its high is a high probability signal that trend change is confirmed and script opens long trade. If market continues going down and break down the bullish reversal bar's low potential trend change has been invalidated and strategy close long trade.
If market really reversed and started moving to the upside strategy waits for the trend change form the downtrend to the uptrend according to approximation of Alligator and Fractals combination. If this change happens strategy close the trade. This approach helps to stay in the long trade while the uptrend continuation is likely and close it if there is a high probability of the uptrend finish.
Optionally users can enable MFI and AO filters. First of all, let's briefly explain what are these two indicators. The Awesome Oscillator (AO), created by Bill Williams, is a momentum-based indicator that evaluates market momentum by comparing recent price activity to a broader historical context. It assists traders in identifying potential trend reversals and gauging trend strength.
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
This indicator is filtering signals in the following way: if current AO bar is decreasing this candle can be interpreted as a bullish reversal bar. This logic is applicable because initially this strategy is a trend reversal, it is searching for the high probability setup against the current trend. Decreasing AO is the additional high probability filter of a downtrend.
Let's briefly look what is MFI. The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential reversal bar or two preceding bars have squat state this bar can be interpret as a reversal one.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.12.31. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 50%
Maximum Single Position Loss: -5.29%
Maximum Single Profit: +29.99%
Net Profit: +5472.66 USDT (+54.73%)
Total Trades: 103 (33.98% win rate)
Profit Factor: 1.634
Maximum Accumulated Loss: 1231.15 USDT (-8.32%)
Average Profit per Trade: 53.13 USDT (+0.94%)
Average Trade Duration: 76 hours
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h ETH/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
Strategie Bollinger Bands buy & sellMiddle Band (Basis): Calculated using a Simple Moving Average (SMA) over a user-defined period.
Upper Band: The middle band plus the standard deviation of the price multiplied by a user-defined multiplier.
Lower Band: The middle band minus the standard deviation of the price multiplied by the same multiplier.
User Inputs:
Length: The number of periods used for the SMA and standard deviation (default: 20).
Deviation: The multiplier for the standard deviation to calculate the upper and lower bands (default: 2.0).
Buy and Sell Signals:
Buy Signal: Generated when the price crosses above the lower band, indicating a potential oversold condition.
Sell Signal: Generated when the price crosses below the upper band, indicating a potential overbought condition.
Visual Markers:
Buy Signals: Displayed below the price bars as green labels with the text "BUY."
Sell Signals: Displayed above the price bars as red labels with the text "SELL."
The Bollinger Bands (upper, middle, and lower) are plotted directly on the price chart for easy visualization.
How to Use the Script:
Customize Parameters:
Modify the length and deviation inputs to adapt to different market conditions or timeframes.
Interpret Signals:
A BUY signal indicates a possible reversal or upward movement from the lower band.
A SELL signal suggests a potential price decline from the upper band.
Combine with Other Indicators:
While effective in certain conditions, this strategy performs better when combined with other technical tools, such as RSI or MACD, to confirm trends and avoid false signals.
Limitations:
This script assumes that price will revert to the mean, which may not hold during strong trends or highly volatile conditions.
It is not a standalone trading system and should be backtested and optimized before applying to real trading.
Volume Profile Auto [line] v2 code is credited to juliangonzaconde. Have taken his help to modify his beautiful creation.
Volume profile is a key study when comes to understanding the auction trading process. Volume Profiles will show you exactly how much volume, as well as relative volume, occurred at each price as well as the exact number of contracts for the entire session. It is a visualization tool to understand the high activity zone and low activity zone.
Volume profile measures the confidence of the traders in the market. From short term trading perspective monitoring the developing volume profile in realtime make more sense to track current market participation behavior to take better trading decisions.
Hope this helps you in trading on daily timeframe.
Happy Trading.
WPR45789This indicator helps in identifying trend to catch moves in intraday and gains decent moves in stocks and index as well as futures and options
This indicator helps in identifying trend to catch moves in intraday and gains decent moves in stocks and index as well as futures and options
EMA Crossover with Alerts taufiqiskcross over ema 9 dan ema 21 sangat cocok untuk scalping dikit dikit
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
heaven rope Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. *Breakout Trading*: Trade breakouts from the cloud, using the cloud as a reference point for support and resistance.
The Moving Average Cloud (MAC) indicator provides a unique perspective on price action, helping traders make more informed decisions.
Meta AI: Here's a brief description of a price action indicator that works similarly to the Super Moving Channel (SMC) indicator:
Indicator Name: Moving Average Cloud (MAC)
*Description:*
The Moving Average Cloud (MAC) is a price action indicator that combines multiple moving averages to create a "cloud" that surrounds the price action. This cloud acts as a dynamic support and resistance zone, helping traders identify trends, reversals, and potential trading opportunities.
*Key Components:*
1. *Multiple Moving Averages*: The MAC uses a combination of short-term and long-term moving averages to create the cloud.
2. *Cloud Formation*: The moving averages are plotted on the chart, creating a cloud-like formation that adapts to changing market conditions.
3. *Support and Resistance*: The cloud acts as a dynamic support and resistance zone, helping traders identify potential trading opportunities.
*Trading Strategies:*
1. *Trend Following*: Use the MAC to identify the trend direction and follow it.
2. *Mean Reversion*: Look for price action to revert to the mean (the cloud) after a significant move.
3. **Breakout Trading
sell & buy indicator for BEHRAD//@version=5
indicator("اندیکاتور خرید و فروش", overlay=true)
// تنظیمات
rsiPeriod = input(14, title="دوره RSI")
rsiOverbought = input(70, title="اشباع خرید (Overbought)")
rsiOversold = input(30, title="اشباع فروش (Oversold)")
shortMA = input(9, title="میانگین متحرک کوتاهمدت")
longMA = input(21, title="میانگین متحرک بلندمدت")
// محاسبات
rsi = ta.rsi(close, rsiPeriod)
shortMAValue = ta.sma(close, shortMA)
longMAValue = ta.sma(close, longMA)
// سیگنالها
buySignal = rsi < rsiOversold and shortMAValue > longMAValue
sellSignal = rsi > rsiOverbought and shortMAValue < longMAValue
// ترسیم نقاط خرید و فروش
plotshape(buySignal, title="خرید", location=location.belowbar, color=color.green, style=shape.labelup, text="Buy")
plotshape(sellSignal, title="فروش", location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")
// میانگینها
plot(shortMAValue, color=color.blue, title="میانگین کوتاهمدت")
plot(longMAValue, color=color.orange, title="میانگین بلندمدت")
Abdulelah Eid//@version=5
strategy("VWAP and MA Strategy with Volume Confirmation - Customizable", overlay=true)
// إعدادات VWAP
vwapSource = input.source(title="VWAP Source", defval=hlc3)
// إعدادات المتوسطات المتحركة
ma20Length = input.int(title="MA20 Length", defval=20)
ma50Length = input.int(title="MA50 Length", defval=50)
// إعدادات حجم التداول
volumeMultiplier = input.float(title="Volume Multiplier", defval=1.5)
// حساب VWAP
vwap = ta.vwap(vwapSource, volume)
// حساب المتوسطات المتحركة
ma20 = ta.sma(close, ma20Length)
ma50 = ta.sma(close, ma50Length)
// شروط الشراء
longCondition = close > vwap and ma20 > ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// شروط البيع
shortCondition = close < vwap and ma20 < ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// رسم VWAP والمتوسطات المتحركة
plot(vwap, color=color.blue, title="VWAP")
plot(ma20, color=color.red, title="MA20")
plot(ma50, color=color.green, title="MA50")
// رسم إشارات الدخول والخروج (باستخدام plotchar)
plotchar(longCondition, char="كول", location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotchar(shortCondition, char="بوت", location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// أوامر الدخول والخروج (اختياري)
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
123@123@. //@version=5
strategy("VWAP and MA Strategy with Volume Confirmation - Customizable", overlay=true)
// إعدادات VWAP
vwapSource = input.source(title="VWAP Source", defval=hlc3)
// إعدادات المتوسطات المتحركة
ma20Length = input.int(title="MA20 Length", defval=20)
ma50Length = input.int(title="MA50 Length", defval=50)
// إعدادات حجم التداول
volumeMultiplier = input.float(title="Volume Multiplier", defval=1.5)
// حساب VWAP
vwap = ta.vwap(vwapSource, volume)
// حساب المتوسطات المتحركة
ma20 = ta.sma(close, ma20Length)
ma50 = ta.sma(close, ma50Length)
// شروط الشراء
longCondition = close > vwap and ma20 > ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// شروط البيع
shortCondition = close < vwap and ma20 < ma50 and volume > ta.sma(volume, 20) * volumeMultiplier
// رسم VWAP والمتوسطات المتحركة
plot(vwap, color=color.blue, title="VWAP")
plot(ma20, color=color.red, title="MA20")
plot(ma50, color=color.green, title="MA50")
// رسم إشارات الدخول والخروج (باستخدام plotchar)
plotchar(longCondition, char="كول", location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotchar(shortCondition, char="بوت", location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// أوامر الدخول والخروج (اختياري)
if (longCondition)
strategy.entry("Long", strategy.long)
if (shortCondition)
strategy.entry("Short", strategy.short)
Cipher DCA Strategy70% + Accurate trading strategy, tailored for swing trading and Dollar-Cost Averaging (DCA) approach to build positions during bearish or oversold market conditions.
Here's how it works:
Market Entry: The script identifies optimal entry points by pinpointing when stocks are in an oversold state, making it an ideal time to buy. This is crucial for accumulating assets at lower prices, setting the stage for significant gains as the market rebounds.
Position Accumulation: By utilizing DCA, the strategy allows you to buy into the market in increments, reducing the impact of volatility and helping to mitigate risk during market downturns.
Swing Trading: Once the market begins to show signs of recovery, the strategy shifts to swing trading mode. It captures the upward momentum by holding positions through the market's upswing, aiming to sell near the peak of the bull market.
Market Exit: The indicator not only helps in buying low but also in selling high, guiding you to exit positions near what could be the top of the market cycle.