gallant volumeDescription:
The "Gallant with Custom Volume" indicator is designed to enhance your technical analysis by integrating advanced volume metrics with Ichimoku components. This versatile tool allows traders to visualize various volume types, such as standard volume, dollar volume, On-Balance Volume (OBV), Volume Weighted Average Price (VWAP), and Accumulation/Distribution (A/D) line.
Key Features:
Customizable Volume Types: Select from multiple volume sources to suit your trading strategy, providing deeper insights into market dynamics.
Volume Candle Visualization: Color-coded volume candles make it easier to identify market trends at a glance.
Ichimoku Integration: The indicator includes traditional Ichimoku lines (Tenkan-Sen, Kijun-Sen, and Senkou Span A/B), helping you assess market momentum and potential reversals.
Trading Signals: Alerts and visual signals are generated when key crossovers occur, aiding in timely decision-making.
Use Cases:
This indicator is suitable for both day traders and long-term investors looking to incorporate volume analysis with ichimoku techniques. It provides a comprehensive view of market conditions, enhancing your ability to identify potential buy and sell opportunities.
Note: Customize the periods and settings to fit your specific trading style.
Feel free to reach out with feedback or suggestions for improvement
Ways to Use the Indicator:
Identifying Trends:
Use the color-coded volume candles to quickly identify bullish (green) and bearish (red) trends. A consistent color trend may indicate market momentum.
Volume Analysis:
Switch between different volume types based on your trading strategy. For example, using the On-Balance Volume can help confirm trends, while Dollar Volume can provide insight into the strength of buying or selling pressure.
Ichimoku Signals:
Monitor the Ichimoku lines for potential buy and sell signals. A crossover of the Tenkan-Sen above the Kijun-Sen may indicate a bullish signal, while a downward crossover could signal a potential bearish move.
Trading Alerts:
Set alerts based on the indicator’s buy/sell signals to notify you of potential trading opportunities without constantly monitoring the chart.
Custom Periods:
Adjust the Ichimoku settings and custom line periods to match your trading style, whether you're a day trader looking for quick entries or a long-term investor analyzing broader trends.
Integrate with Other Tools:
Combine this indicator with other technical analysis tools for a more comprehensive strategy. For instance, use it alongside moving averages or Fibonacci retracement levels to validate entry and exit points.
Chỉ báo và chiến lược
MA/EMA CrossThe "MA/EMA Cross" script is a trading indicator that identifies and signals potential buying and selling opportunities based on the crossover of two moving averages: the Simple Moving Average (MA) and the Exponential Moving Average (EMA). This script helps traders determine trends and reversals, providing visual alerts on the chart when the MA and EMA cross each other.
Vertical & Open Lines - Yearly [MsF]this indicator draws vertical lines at the start of each year and optionally displays yearly open price levels, helping traders visualize yearly transitions and key price levels.
Features:
• Customizable vertical lines marking the start of each year
• Optional horizontal line showing the yearly open price
• Next year line preview
• Adjustable line styles (dotted, dashed, or solid)
• Customizable colors with 50% transparency for clean chart visibility
Settings:
• Base Time: Set the reference time for yearly calculations
• Show Yearly: Toggle yearly vertical lines
• Open Line: Toggle horizontal yearly open price line
• Show Next Year: Toggle the next year preview line
• Line Styles: Choose between dotted, dashed, or solid lines for both vertical and horizontal lines
Colors are preset with:
• White (50% transparency) for yearly vertical lines
• Red (50% transparency) for yearly open price lines
• Blue (50% transparency) for next year preview line
This indicator is particularly useful for:
• Long-term market analysis
• Identifying yearly cycles and patterns
• Planning ahead for yearly transitions
• Tracking yearly open levels for reference
Note: The indicator uses the chart's timezone settings for calculations.
ShazadamThis indicator is designed to enhance your trading analysis by displaying critical price levels and trend-following metrics for the current trading day. Key features include:
Current Day High and Low: Automatically plots the high and low of the current trading day for easy reference.
Overnight High and Low (4 PM - 9:30 AM): Marks the highest and lowest price levels during the pre-market and post-market sessions, helping traders gauge overnight activity.
Exponential Moving Averages (13, 48, 200): Tracks short-, mid-, and long-term trends to identify potential entry and exit points.
9:35 AM Candle High and Low: Highlights the first 5-minute candle after market open, aiding intraday strategies.
This indicator is ideal for day traders and swing traders seeking a clear and visually appealing display of critical price levels and trend indicators. Use it to identify key support/resistance zones, trends, and breakout opportunities.
Custom Percent Pullback LevelThis script takes a stock's current day low and current day high and lets you set a custom pullback level that you can then set an alert for or use as an indicator if the stock is still bullish or bearish.
This can be useful for momentum runners as you may want to see only a set % (default is 50%) pullback in order to have a good chance for continuation. With the alert option you can set the percentage pullback you'd like to see in order to get eyes back on the stock
Capitalization Calculator | капитализация | Уровни капитализацииRU:
Индикатор написан через чат джипити, поэтому лучше перед тем как полностью доверится, проверьте на 1-2 уровнях самостоятельно.
ВАЖНО: ВПИСЫВАТЬ СУПЛАЙ НУЖНО В РУЧНУЮ НА КАЖДЫЙ ТИКЕР, ЧЕРЕЗ НАСТРОЙКИ.
При выборе в настройках показывает готовую капитализацию.
Если вам нужно больше, внизу есть настройки, которые работают так:
Капитализация / сколько линий будет на графике.
Т.е жмем 10М и ставим 20 линий. Значит у нас будет показаны уровни 10м/20м/30м/.. - и так 20 раз вверх.
Если есть желание и умение, можно попробовать сделать, что бы он автоматически узнавал капитализацию, но к сожалению, я не знаю как это реализовать.
Или хотя бы сделать более красивые уровни и надписи, что бы не было вырвиглазно)
ENG (google):
The indicator is written through jipiti chat, so it is better to check it on 1-2 levels by yourself before trusting it completely.
IMPORTANT: SUPPLY MANUALLY ON EACH TICKER, BY SETTINGS.
When selected in the settings, it shows the finished capitalization.
If you need more, there are settings at the bottom that work like this:
Capitalization / how many lines will be on the chart.
I.e. we press 10M and set 20 lines. So we will see the levels 10m/20m/30m/... - and so 20 times up.
If you have the desire and skill, you can try to make it automatically recognize the capitalization, but unfortunately, I do not know how to implement it.
Or at least make more beautiful levels and inscriptions that would not be vomitous).
Translated with DeepL.com (free version)
S&P 500 E-Mini TrackerThis script generates a reference price for the S&P 500 ETF - SPY based on the current price of the ES contract, which is an E-Mini Futures contract representing the S&P 500 index. The indicator plots this reference price on the chart, providing a unique view of the relationship between these two popular markets.
Advantages:
Identifies divergence between the ES and SPY prices, indicating potential trading opportunities or shifts in market sentiment.
Confirms trends by showing the correlation between the ES and SPY prices.
Eliminates the need for multiple charts, allowing traders to focus on a single screen and make more informed decisions.
Customizable Parameters:
Color Scheme: Choose from various color options to customize the appearance of the indicator.
Line Style: Select from different line styles to change the visual representation of the reference price.
Divisor: Set the dividing factor to adjust the ratio at which the reference price is calculated. (Default value: 10). It is recommended to keep it at 10 for SPY.
To use it with other Stocks/ ETFs, use simple ratio math to calculate the divisor and you can customize the indicator to scale accordingly.
By using this indicator, traders can gain a deeper understanding of the relationship between the E-Mini and SPY markets, making it easier to identify trading opportunities and confirm trends.
XAUUSD Daily Strategy with AlertsTrend Strategy for Trading XAUUSD
A Trend Strategy in trading XAUUSD (gold) focuses on identifying and capitalizing on the market's prevailing directional momentum. Gold is a highly liquid asset and often moves in significant trends due to its sensitivity to global economic conditions, inflation expectations, interest rates, and geopolitical events. A trend-following strategy aims to ride these movements, either upward (bullish trend) or downward (bearish trend), maximizing profit potential while minimizing risks.
Key Components of a Trend Strategy for XAUUSD:
Trend Identification:
Use technical indicators such as moving averages (e.g., EMA, SMA) or trendlines to determine the direction of the trend.
A bullish trend is characterized by higher highs and higher lows, while a bearish trend features lower highs and lower lows.
Example: Employ the 50 EMA and 200 EMA Crossover to confirm trend direction. When the 50 EMA crosses above the 200 EMA, it indicates a bullish trend, and vice versa for a bearish trend.
Entry Points:
Enter trades in the direction of the trend. For a bullish trend, buy on pullbacks to support levels or moving averages. For a bearish trend, sell on pullbacks to resistance levels.
Indicators like the RSI (Relative Strength Index) or Stochastic Oscillator can help identify overbought or oversold conditions, providing better entry points.
Exit Points:
Use predefined take-profit and stop-loss levels to manage trades effectively.
For take-profit, set targets at major resistance levels for long positions or support levels for short positions.
For stop-loss, use levels slightly below the recent swing low in a bullish trend or above the recent swing high in a bearish trend.
Confirmation Indicators:
Incorporate additional indicators like the MACD (Moving Average Convergence Divergence) or ADX (Average Directional Index) to confirm trend strength.
The ADX value above 25 suggests a strong trend, while values below 20 indicate a weak or range-bound market.
Risk Management:
Use proper position sizing, typically risking no more than 1-2% of your account per trade.
Avoid over-leveraging, as XAUUSD is highly volatile, which can lead to large price swings.
Trend Continuation and Reversal Monitoring:
Watch for signs of trend exhaustion or reversal using candlestick patterns (e.g., Doji, Engulfing) or divergence on indicators like RSI or MACD.
When the trend weakens, adjust your positions or exit trades to lock in profits.
Demo GPT - Bull Market Support BandAI generated pinescript 6 strategy of buying and selling based on Bull Market Support Band. Buy when EMAs cross upward while sell when EMAs cross downward.
London Session High/LowPoints to the high and low of london session. Use this to show you the high and low of the session.
Buyers vs SellersBuyers vs Sellers is an indicator which essentially weighs the strength of the buyers against the strength of the sellers. It defines the current relationship between the buyers and the sellers as well as the way that that relationship is changing over time.
User Inputs:
1. Number of Bars To Include In The Calculation - this is the look back period. The amount of past data that is being processed.
2. Length of The ATR - higher values are recommended. This ATR is used as a unit in which the price changes are expressed.
3. Bullish/Bearish Bias Threshold - the minimum value to consider the buyers or the sellers having control of the price.
4. Net Move Average Length - the moving average of the sum of bullish and bearish price changes.
The Calculation Process:
This indicator measures the difference between the opening and the closing prices of each bar in the look back period.
After that it sums together the sizes of the bodies of all the bullish bars and also the sizes of all the bearish bars to create the total bullish price change and total bearish price change for the look back period.
After that it converts the total price changes into percentages of the ATR and divides them by the look back period to get the price change per bar - it is a way of getting the price change values down to less ridiculous numbers regardless of the look back period and while still keeping the proportions intact.
After that it sums the two price changes together to get the net move and performs a simple moving average calculation on it in order to smooth out the values. This is a numerical representation of the relationship between the strength of the bullish and the bearish moves, which is easily readable from the chart.
After that the indicator performs a natural logarithm of the bullish price change divided by the bearish price change. This calculation gives a relationship between the two values which is not tied to the volatility of the instrument, but is expressed purely as a relationship between the strength of one value against the other. The idea is that this would allow for easier comparison across different instruments as the same numbers would represent exactly the same distribution of the strength difference.
The Plotting Logic:
The ATR is plotted as just a number as a reference.
The natural logarithm is presented in two ways.
One way is numerical, to be able to precisely read the value and the colour of the number changes depending if it is positive and above the bias threshold or negative and below the bias threshold.
The other way is in the form of a background colour. It only visualises the bias that can be interpreted based on the logarithm value in relation to the set bias threshold.
The total bullish price change and the total bearish price change are both plotted as a line with the fill between that line and the zero line. This helps visualise the bullish and the bearish moves individually.
The moving average of the sum of the bullish and the bearish moves is added as a line to represent the relationship between the two on a graph and not just as a logarithm.
I hope this indicator will serve you well and help with defining the relationship between the buyers and sellers more objectively, hopefully leading to more profitable trades.
EMA 20 Band + EMA 200Beste traders,
Deze indicator tekent een EMA-band bestaande uit drie lijnen: een High EMA, een Mid EMA, en een Low EMA, evenals een afzonderlijke EMA 200.
De band geeft de dynamische ondersteunings- en weerstandsniveaus weer, gebaseerd op de high-, low- en close-prijzen van candles. De ruimte tussen de High en Low EMA wordt visueel ingevuld, wat helpt om trends en prijsschommelingen beter te identificeren.
De EMA 200 dient als een lange-termijn trendindicator: als de prijs erboven ligt, is er vaak sprake van een opwaartse trend, en eronder van een neerwaartse trend. Traders gebruiken deze indicator om in sterke trends in te stappen, of om mogelijke omkeringen te herkennen wanneer de prijs buiten de band beweegt.
Het kan ook nuttig zijn om overbought- of oversold-condities te spotten als de prijs ver buiten de band komt.
Deze indicator is geschikt voor zowel daytrading als swing trading en werkt op alle tijdframes.
Range PolarityDescription:
This indicator is a "Rate of Change" style oscillator designed to measure market dynamics through the lens of price ranges. By utilizing the true range in conjunction with high and low separation, this script produces two distinct oscillators: one for positive price shifts and one for negative price shifts.
Key Features:
High/Low Isolation:
The script calculates the relative movement of upwards and downwards price movements over a user-defined period. This separation provides a nuanced view of market behavior, offering two separate signals for comparison.
Dynamic Transform Smoothing:
A smoothing transform is applied to the signals, ensuring better outlier handling while maintaining sensitivity to price extremes. This makes the oscillator especially suited for identifying overbought and oversold conditions.
Zero-Centered:
The zero line acts as a "gravity point," where shifts away or toward zero indicate market momentum. Signal crosses or reversals from extreme zones can signal potential entry or exit points.
Outlier Identification:
Unlike traditional ATR based strategies (e.g., Keltner Channels ), this indicator isolates high and low ranges, creating a more granular view of market extremes. These measurements can help identify shifts from the outlying positions and reversal opportunities.
Visual Enhancements:
Multiple layers enhance the visual distinction of the positive and negative transformations. Horizontal lines at key thresholds provide visual reference for overbought, oversold, and equilibrium zones.
How to Use:
Primary signals are shifts from outlying positions or a positive/negative cross. An extreme reading itself can reveal an incoming reversal when calibrated with other indicators or compared with higher timeframes. Pairing "Range Polarity" with volume and momentum can create a comprehensive strategy.
In conclusion, be aware the base length controls the window for high/low contributions while the transform smoothing enhances the raw data through normalization within a tempered range to filter out insignificant fluctuations.
Merry Christmas to all and have a Happy New Year!
Volatility ProfileVolatility Profile allows for a fast comparison of the Average True Range from different time frames.
In addition to that, for each time frame it calculates the maximum and the minimum value over a set number of bars and divides the range between the maximum and the minimum in three parts to create three different volatility classes, which allows the user to quickly see how big the current value really is in relation to the past.
The settings allow the user to set the two extra time frames apart from the main time frame and the ATR length for each of the three ATR's, as well as the look back period to calculate the maximum and the minimum values.
This indicator is meant to help create a much more comprehensive view of the instrument's volatility.
My script//@version=5
indicator(title='Trade Bulls v1.2', shorttitle='Trade Bulls v1.2', overlay=true, max_boxes_count=20)
// Block Order
BO_on =input(defval=true, title='Enable Block Order', group='Block Order')
Senset = input.int(28, minval=1, title='Sensitivity', group='Block Order')
OB_mtype = input.string("Close", title="OB Mitigation Type", options= , group="Block Order")
colUpp = input.color(#50b090, title="Bullish OB Border", inline="1", group="Block Order")
colUpp_ob = input.color(color.new(#60C0A0, 85), title="BackGround", inline="1", group="Block Order")
colDnn = input.color(#4060b0, title="Bearish OB Border", inline="2", group="Block Order")
colDnn_ob = input.color(color.new(#5060D0, 85), title="BackGround", inline="2", group="Block Order")
bool BO_is = false
bool BO_is_Upp = false
boUpp = OB_mtype=="Close" ? close : low
boDnn = OB_mtype=="Close" ? close : high
var box Lbox = na
var box Sbox = na
var L_boxes = array.new_box()
var S_boxes = array.new_box()
var int jj = na
CrDt = (open - open ) / open * 100
Senset /= 100
if ta.crossover(CrDt, Senset)
BO_is_Upp := true
jj := bar_index
jj
if ta.crossunder(CrDt, -Senset)
BO_is := true
jj := bar_index
jj
if BO_is and jj - jj > 5 and BO_on
float Lgrn = 0
for i = 4 to 15 by 1
if close > open
Lgrn := i
break
Sbox := box.new(left=bar_index , top=high , bottom=low , right=bar_index , bgcolor=colDnn_ob, border_color=colDnn, extend=extend.right)
array.push(S_boxes, Sbox)
if BO_is_Upp and jj - jj > 5 and BO_on
float Lred = 0
for i = 4 to 15 by 1
if close < open
Lred := i
break
Lbox := box.new(left=bar_index , top=high , bottom=low , right=bar_index , bgcolor=colUpp_ob, border_color=colUpp, extend=extend.right)
array.push(L_boxes, Lbox)
if array.size(S_boxes) > 0
for i = array.size(S_boxes) - 1 to 0 by 1
sbox = array.get(S_boxes, i)
B_top = box.get_top(sbox)
B_bot = box.get_bottom(sbox)
if boDnn > B_top
array.remove(S_boxes, i)
box.delete(sbox)
if high > B_bot
alert('Price inside Bearish Block Order', alert.freq_once_per_bar)
if array.size(L_boxes) > 0
for i = array.size(L_boxes) - 1 to 0 by 1
sbox = array.get(L_boxes, i)
B_bot = box.get_bottom(sbox)
B_top = box.get_top(sbox)
if boUpp < B_bot
array.remove(L_boxes, i)
box.delete(sbox)
if low < B_top
alert('Price inside Bullish Block Order', alert.freq_once_per_bar)
// Sell/Buy/
BS_on =input(defval=true, title='Enable Buy/Sell', group='Buy/Sell')
LB_on =input(defval=true, title='Enable labels', group='Buy/Sell')
BS_type = input.string('Atr',options= ,inline='ln1', group='Buy/Sell')
BS_size = input(1.,'',inline='ln1', group='Buy/Sell')
BS_max = input(3,'Sequence Length', group='Buy/Sell')
var BS_fib = array.from(1,1)
var BS_dist = 0.
var BS_avg = 0.
var BS_fib_n = 1
var BS_os = 0
BS_src = close
BS_n = bar_index
if barstate.isfirst
for i = 1 to BS_max
array.push(BS_fib,array.get(BS_fib,i-1) + array.get(BS_fib,i))
if BS_type == 'Atr'
BS_dist := ta.atr(200)*BS_size*array.get(BS_fib,BS_fib_n)
else
BS_dist := BS_size*array.get(BS_fib,BS_fib_n)
BS_fib_n := math.abs(BS_src-BS_avg) > BS_dist ? BS_fib_n+1 : BS_fib_n
BS_avg := nz(BS_fib_n > BS_max+1 ? BS_src : BS_avg ,BS_src)
BS_fib_n := BS_fib_n > BS_max+1 ? 1 : BS_fib_n
BS_sell = BS_avg < BS_avg
BS_buy = BS_avg > BS_avg
BS_os := BS_buy ? 1 : BS_sell ? 0 : BS_os
BS_css = BS_os == 1 ? #00b010 : #fe1100
BS_stop = BS_avg != BS_avg ? na : BS_os == 0 ? BS_avg + BS_dist : BS_avg - BS_dist
BS_take = BS_avg != BS_avg ? na : BS_os == 1 ? BS_avg + BS_dist : BS_avg - BS_dist
p_0 = plot( BS_on? BS_src:na,color=na)
p_1 = plot( BS_on? BS_avg:na,color=na)
plot(BS_on ? BS_take:na,'Take',#00b010,1,plot.style_linebr)
plot(BS_on ? BS_stop:na,'Stop',#f01000,1,plot.style_linebr)
fill(p_0,p_1,color.new(BS_css,85))
plotshape(BS_on and BS_buy ? low : na,"Buy_Label",shape.labelup,location.absolute,#00b010,0,text="B",textcolor=color.white,size=size.tiny)
plotshape(BS_on and BS_sell ? high : na,"Sell_Label",shape.labeldown,location.absolute,#f01000,0,text="S",textcolor=color.white,size=size.tiny)
if BS_fib_n > BS_fib_n and BS_os == 1 and BS_src > BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ✅',yloc=yloc.abovebar,color=na,style=label.style_label_down,textcolor=color.gray,size=size.small)
else if BS_fib_n > BS_fib_n and BS_os == 1 and BS_src < BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ❌',yloc=yloc.belowbar,color=na,style=label.style_label_up,textcolor=color.gray,size=size.small)
if BS_fib_n > BS_fib_n and BS_os == 0 and BS_src < BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ✅',yloc=yloc.belowbar,color=na,style=label.style_label_up,textcolor=color.gray,size=size.small)
else if BS_fib_n > BS_fib_n and BS_os == 0 and BS_src > BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ❌',yloc=yloc.abovebar,color=na,style=label.style_label_down,textcolor=color.gray,size=size.small)
//Channel
CH_on =input(defval=true, title='Enable Channel', group='Channel')
CH_src = input(defval=close, title='Source', group='Channel')
CH_len = input.int(defval=100, title='Length', minval=10, group='Channel')
CH_divlen = input.float(defval=2., title='Deviation', minval=0.1, step=0.1, group='Channel')
CH_ext = input(defval=true, title='Extend Lines', group='Channel')
CH_shwfib = input(defval=false, title='Show Fibonacci Levels', group='Channel')
CH_shwbrk = input.bool(defval=true, title='Show Broken Channel', inline='brk', group='Channel')
CH_brkclr = input.color(defval=color.blue, title='', inline='brk', group='Channel')
CH_upclr = input.color(defval=color.lime, title='Up/Down Trend Colors', inline='trcols', group='Channel')
CH_dnclr = input.color(defval=color.red, title='', inline='trcols', group='Channel')
CH_lnwdt = input(defval=2, title='Line Width', group='Channel')
var CH_fiboln = array.new_float(0)
var CH_clrs = array.new_color(2)
if barstate.isfirst
array.push(CH_fiboln, 0.236)
array.push(CH_fiboln, 0.382)
array.push(CH_fiboln, 0.618)
array.push(CH_fiboln, 0.786)
array.unshift(CH_clrs, CH_upclr)
array.unshift(CH_clrs, CH_dnclr)
get_Channel(CH_src, CH_len) =>
md = math.sum(CH_src, CH_len) / CH_len
Ugl = ta.linreg(CH_src, CH_len, 0) - ta.linreg(CH_src, CH_len, 1)
ip = md - Ugl * math.floor(CH_len / 2) + (1 - CH_len % 2) / 2 * Ugl
lst = ip + Ugl * (CH_len - 1)
dev = 0.0
for x = 0 to CH_len - 1 by 1
dev += math.pow(CH_src - (Ugl * (CH_len - x) + ip), 2)
dev
dev := math.sqrt(dev / CH_len)
= get_Channel(CH_src, CH_len)
CH_break = Ugl > 0 and close < y2_ - dev * CH_divlen ? 0 : Ugl < 0 and close > y2_ + dev * CH_divlen ? 2 : -1
var CH_rlns = array.new_line(3)
var CH_fiblns = array.new_line(4)
if CH_on
for x = 0 to 2 by 1
if not CH_shwbrk or CH_break != x or nz(CH_break , -1) != -1
line.delete(array.get(CH_rlns, x))
else
line.set_color(array.get(CH_rlns, x), color=CH_brkclr)
line.set_width(array.get(CH_rlns, x), width=2)
line.set_style(array.get(CH_rlns, x), style=line.style_dotted)
line.set_extend(array.get(CH_rlns, x), extend=extend.none)
array.set(CH_rlns, x, line.new(x1=bar_index - (CH_len - 1), y1=y1_ + dev * CH_divlen * (x - 1), x2=bar_index, y2=y2_ + dev * CH_divlen * (x - 1), color=array.get(CH_clrs, math.round(math.max(math.sign(Ugl), 0))), style=x % 2 == 1 ? line.style_solid : line.style_dashed, width=CH_lnwdt, extend=CH_ext ? extend.right : extend.none))
if CH_shwfib
for x = 0 to 3 by 1
line.delete(array.get(CH_fiblns, x))
array.set(CH_fiblns, x, line.new(x1=bar_index - (CH_len - 1), y1=y1_ - dev * CH_divlen + dev * CH_divlen * 2 * array.get(CH_fiboln, x), x2=bar_index, y2=y2_ - dev * CH_divlen + dev * CH_divlen * 2 * array.get(CH_fiboln, x), color=array.get(CH_clrs, math.round(math.max(math.sign(Ugl), 0))), style=line.style_dotted, width=CH_lnwdt, extend=CH_ext ? extend.right : extend.none))
var label lbl1 = label.new(x=bar_index - (CH_len - 1), y=y1_, text='S', size=size.large)
lb_text = Ugl > 0 ? Ugl > Ugl ? '⇑' : '⇗' : Ugl < 0 ? Ugl < Ugl ? '⇓' : '⇘' : '⇒'
lb_style = Ugl > 0 ? Ugl > Ugl ? label.style_label_up : label.style_label_upper_right : Ugl < 0 ? Ugl < Ugl ? label.style_label_down : label.style_label_lower_right : label.style_label_right
if CH_on
label.set_style(lbl1, lb_style)
label.set_text(lbl1, lb_text)
label.set_x(lbl1, bar_index - (CH_len - 1))
label.set_y(lbl1, Ugl > 0 ? y1_ - dev * CH_divlen : Ugl < 0 ? y1_ + dev * CH_divlen : y1_)
label.set_color(lbl1, Ugl > 0 ? CH_upclr : Ugl < 0 ? CH_dnclr : color.blue)
DnTrend = math.sign(Ugl) != math.sign(Ugl ) and Ugl < 0
UpTrend = math.sign(Ugl) != math.sign(Ugl ) and Ugl > 0
alertcondition(CH_break, title='Channel Broken', message='Channel Broken')
alertcondition(DnTrend, title='Channel Down trend', message='Channel Down trend')
alertcondition(UpTrend, title='Channel Up trend', message='Channel Up trend')
// Support/Resistance
SR_on =input(defval=true, title='Enable Support/Resistance', group='Support/Resistance')
SR_lb = input(15, title='Left Bars ', group='Support/Resistance')
SR_rb = input(15, title='Right Bars', group='Support/Resistance')
SR_vol = input(20, title='Volume Threshold', group='Support/Resistance')
SR_high = fixnan(ta.pivothigh(SR_lb, SR_rb) )
SR_low = fixnan(ta.pivotlow(SR_lb, SR_rb) )
plot(SR_on?SR_low:na, color=ta.change(SR_low) ? na : #2030e0, linewidth=3, offset=-(SR_rb + 1), title='Support')
plot(SR_on?SR_high:na, color=ta.change(SR_high) ? na : #F00000, linewidth=3, offset=-(SR_rb + 1), title='Resistance')
SR_short = ta.ema(volume, 5)
SR_long = ta.ema(volume, 10)
SR_dlt = 100 * (SR_short - SR_long) / SR_long
alertcondition(ta.crossover(close, SR_high) and SR_dlt > SR_vol, title='Resistance Broken', message='Resistance Broken')
alertcondition(ta.crossunder(close, SR_low) and SR_dlt > SR_vol, title='Support Broken', message='Support Broken')
Trade Bulls//@version=5
indicator(title='Trade Bulls v1.2', shorttitle='Trade Bulls v1.2', overlay=true, max_boxes_count=20)
// Block Order
BO_on =input(defval=true, title='Enable Block Order', group='Block Order')
Senset = input.int(28, minval=1, title='Sensitivity', group='Block Order')
OB_mtype = input.string("Close", title="OB Mitigation Type", options= , group="Block Order")
colUpp = input.color(#50b090, title="Bullish OB Border", inline="1", group="Block Order")
colUpp_ob = input.color(color.new(#60C0A0, 85), title="BackGround", inline="1", group="Block Order")
colDnn = input.color(#4060b0, title="Bearish OB Border", inline="2", group="Block Order")
colDnn_ob = input.color(color.new(#5060D0, 85), title="BackGround", inline="2", group="Block Order")
bool BO_is = false
bool BO_is_Upp = false
boUpp = OB_mtype=="Close" ? close : low
boDnn = OB_mtype=="Close" ? close : high
var box Lbox = na
var box Sbox = na
var L_boxes = array.new_box()
var S_boxes = array.new_box()
var int jj = na
CrDt = (open - open ) / open * 100
Senset /= 100
if ta.crossover(CrDt, Senset)
BO_is_Upp := true
jj := bar_index
jj
if ta.crossunder(CrDt, -Senset)
BO_is := true
jj := bar_index
jj
if BO_is and jj - jj > 5 and BO_on
float Lgrn = 0
for i = 4 to 15 by 1
if close > open
Lgrn := i
break
Sbox := box.new(left=bar_index , top=high , bottom=low , right=bar_index , bgcolor=colDnn_ob, border_color=colDnn, extend=extend.right)
array.push(S_boxes, Sbox)
if BO_is_Upp and jj - jj > 5 and BO_on
float Lred = 0
for i = 4 to 15 by 1
if close < open
Lred := i
break
Lbox := box.new(left=bar_index , top=high , bottom=low , right=bar_index , bgcolor=colUpp_ob, border_color=colUpp, extend=extend.right)
array.push(L_boxes, Lbox)
if array.size(S_boxes) > 0
for i = array.size(S_boxes) - 1 to 0 by 1
sbox = array.get(S_boxes, i)
B_top = box.get_top(sbox)
B_bot = box.get_bottom(sbox)
if boDnn > B_top
array.remove(S_boxes, i)
box.delete(sbox)
if high > B_bot
alert('Price inside Bearish Block Order', alert.freq_once_per_bar)
if array.size(L_boxes) > 0
for i = array.size(L_boxes) - 1 to 0 by 1
sbox = array.get(L_boxes, i)
B_bot = box.get_bottom(sbox)
B_top = box.get_top(sbox)
if boUpp < B_bot
array.remove(L_boxes, i)
box.delete(sbox)
if low < B_top
alert('Price inside Bullish Block Order', alert.freq_once_per_bar)
// Sell/Buy/
BS_on =input(defval=true, title='Enable Buy/Sell', group='Buy/Sell')
LB_on =input(defval=true, title='Enable labels', group='Buy/Sell')
BS_type = input.string('Atr',options= ,inline='ln1', group='Buy/Sell')
BS_size = input(1.,'',inline='ln1', group='Buy/Sell')
BS_max = input(3,'Sequence Length', group='Buy/Sell')
var BS_fib = array.from(1,1)
var BS_dist = 0.
var BS_avg = 0.
var BS_fib_n = 1
var BS_os = 0
BS_src = close
BS_n = bar_index
if barstate.isfirst
for i = 1 to BS_max
array.push(BS_fib,array.get(BS_fib,i-1) + array.get(BS_fib,i))
if BS_type == 'Atr'
BS_dist := ta.atr(200)*BS_size*array.get(BS_fib,BS_fib_n)
else
BS_dist := BS_size*array.get(BS_fib,BS_fib_n)
BS_fib_n := math.abs(BS_src-BS_avg) > BS_dist ? BS_fib_n+1 : BS_fib_n
BS_avg := nz(BS_fib_n > BS_max+1 ? BS_src : BS_avg ,BS_src)
BS_fib_n := BS_fib_n > BS_max+1 ? 1 : BS_fib_n
BS_sell = BS_avg < BS_avg
BS_buy = BS_avg > BS_avg
BS_os := BS_buy ? 1 : BS_sell ? 0 : BS_os
BS_css = BS_os == 1 ? #00b010 : #fe1100
BS_stop = BS_avg != BS_avg ? na : BS_os == 0 ? BS_avg + BS_dist : BS_avg - BS_dist
BS_take = BS_avg != BS_avg ? na : BS_os == 1 ? BS_avg + BS_dist : BS_avg - BS_dist
p_0 = plot( BS_on? BS_src:na,color=na)
p_1 = plot( BS_on? BS_avg:na,color=na)
plot(BS_on ? BS_take:na,'Take',#00b010,1,plot.style_linebr)
plot(BS_on ? BS_stop:na,'Stop',#f01000,1,plot.style_linebr)
fill(p_0,p_1,color.new(BS_css,85))
plotshape(BS_on and BS_buy ? low : na,"Buy_Label",shape.labelup,location.absolute,#00b010,0,text="B",textcolor=color.white,size=size.tiny)
plotshape(BS_on and BS_sell ? high : na,"Sell_Label",shape.labeldown,location.absolute,#f01000,0,text="S",textcolor=color.white,size=size.tiny)
if BS_fib_n > BS_fib_n and BS_os == 1 and BS_src > BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ✅',yloc=yloc.abovebar,color=na,style=label.style_label_down,textcolor=color.gray,size=size.small)
else if BS_fib_n > BS_fib_n and BS_os == 1 and BS_src < BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ❌',yloc=yloc.belowbar,color=na,style=label.style_label_up,textcolor=color.gray,size=size.small)
if BS_fib_n > BS_fib_n and BS_os == 0 and BS_src < BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ✅',yloc=yloc.belowbar,color=na,style=label.style_label_up,textcolor=color.gray,size=size.small)
else if BS_fib_n > BS_fib_n and BS_os == 0 and BS_src > BS_avg and BS_on and LB_on
label.new(BS_n,BS_src,str.tostring(array.get(BS_fib,BS_fib_n-1)) + ' ❌',yloc=yloc.abovebar,color=na,style=label.style_label_down,textcolor=color.gray,size=size.small)
//Channel
CH_on =input(defval=true, title='Enable Channel', group='Channel')
CH_src = input(defval=close, title='Source', group='Channel')
CH_len = input.int(defval=100, title='Length', minval=10, group='Channel')
CH_divlen = input.float(defval=2., title='Deviation', minval=0.1, step=0.1, group='Channel')
CH_ext = input(defval=true, title='Extend Lines', group='Channel')
CH_shwfib = input(defval=false, title='Show Fibonacci Levels', group='Channel')
CH_shwbrk = input.bool(defval=true, title='Show Broken Channel', inline='brk', group='Channel')
CH_brkclr = input.color(defval=color.blue, title='', inline='brk', group='Channel')
CH_upclr = input.color(defval=color.lime, title='Up/Down Trend Colors', inline='trcols', group='Channel')
CH_dnclr = input.color(defval=color.red, title='', inline='trcols', group='Channel')
CH_lnwdt = input(defval=2, title='Line Width', group='Channel')
var CH_fiboln = array.new_float(0)
var CH_clrs = array.new_color(2)
if barstate.isfirst
array.push(CH_fiboln, 0.236)
array.push(CH_fiboln, 0.382)
array.push(CH_fiboln, 0.618)
array.push(CH_fiboln, 0.786)
array.unshift(CH_clrs, CH_upclr)
array.unshift(CH_clrs, CH_dnclr)
get_Channel(CH_src, CH_len) =>
md = math.sum(CH_src, CH_len) / CH_len
Ugl = ta.linreg(CH_src, CH_len, 0) - ta.linreg(CH_src, CH_len, 1)
ip = md - Ugl * math.floor(CH_len / 2) + (1 - CH_len % 2) / 2 * Ugl
lst = ip + Ugl * (CH_len - 1)
dev = 0.0
for x = 0 to CH_len - 1 by 1
dev += math.pow(CH_src - (Ugl * (CH_len - x) + ip), 2)
dev
dev := math.sqrt(dev / CH_len)
= get_Channel(CH_src, CH_len)
CH_break = Ugl > 0 and close < y2_ - dev * CH_divlen ? 0 : Ugl < 0 and close > y2_ + dev * CH_divlen ? 2 : -1
var CH_rlns = array.new_line(3)
var CH_fiblns = array.new_line(4)
if CH_on
for x = 0 to 2 by 1
if not CH_shwbrk or CH_break != x or nz(CH_break , -1) != -1
line.delete(array.get(CH_rlns, x))
else
line.set_color(array.get(CH_rlns, x), color=CH_brkclr)
line.set_width(array.get(CH_rlns, x), width=2)
line.set_style(array.get(CH_rlns, x), style=line.style_dotted)
line.set_extend(array.get(CH_rlns, x), extend=extend.none)
array.set(CH_rlns, x, line.new(x1=bar_index - (CH_len - 1), y1=y1_ + dev * CH_divlen * (x - 1), x2=bar_index, y2=y2_ + dev * CH_divlen * (x - 1), color=array.get(CH_clrs, math.round(math.max(math.sign(Ugl), 0))), style=x % 2 == 1 ? line.style_solid : line.style_dashed, width=CH_lnwdt, extend=CH_ext ? extend.right : extend.none))
if CH_shwfib
for x = 0 to 3 by 1
line.delete(array.get(CH_fiblns, x))
array.set(CH_fiblns, x, line.new(x1=bar_index - (CH_len - 1), y1=y1_ - dev * CH_divlen + dev * CH_divlen * 2 * array.get(CH_fiboln, x), x2=bar_index, y2=y2_ - dev * CH_divlen + dev * CH_divlen * 2 * array.get(CH_fiboln, x), color=array.get(CH_clrs, math.round(math.max(math.sign(Ugl), 0))), style=line.style_dotted, width=CH_lnwdt, extend=CH_ext ? extend.right : extend.none))
var label lbl1 = label.new(x=bar_index - (CH_len - 1), y=y1_, text='S', size=size.large)
lb_text = Ugl > 0 ? Ugl > Ugl ? '⇑' : '⇗' : Ugl < 0 ? Ugl < Ugl ? '⇓' : '⇘' : '⇒'
lb_style = Ugl > 0 ? Ugl > Ugl ? label.style_label_up : label.style_label_upper_right : Ugl < 0 ? Ugl < Ugl ? label.style_label_down : label.style_label_lower_right : label.style_label_right
if CH_on
label.set_style(lbl1, lb_style)
label.set_text(lbl1, lb_text)
label.set_x(lbl1, bar_index - (CH_len - 1))
label.set_y(lbl1, Ugl > 0 ? y1_ - dev * CH_divlen : Ugl < 0 ? y1_ + dev * CH_divlen : y1_)
label.set_color(lbl1, Ugl > 0 ? CH_upclr : Ugl < 0 ? CH_dnclr : color.blue)
DnTrend = math.sign(Ugl) != math.sign(Ugl ) and Ugl < 0
UpTrend = math.sign(Ugl) != math.sign(Ugl ) and Ugl > 0
alertcondition(CH_break, title='Channel Broken', message='Channel Broken')
alertcondition(DnTrend, title='Channel Down trend', message='Channel Down trend')
alertcondition(UpTrend, title='Channel Up trend', message='Channel Up trend')
// Support/Resistance
SR_on =input(defval=true, title='Enable Support/Resistance', group='Support/Resistance')
SR_lb = input(15, title='Left Bars ', group='Support/Resistance')
SR_rb = input(15, title='Right Bars', group='Support/Resistance')
SR_vol = input(20, title='Volume Threshold', group='Support/Resistance')
SR_high = fixnan(ta.pivothigh(SR_lb, SR_rb) )
SR_low = fixnan(ta.pivotlow(SR_lb, SR_rb) )
plot(SR_on?SR_low:na, color=ta.change(SR_low) ? na : #2030e0, linewidth=3, offset=-(SR_rb + 1), title='Support')
plot(SR_on?SR_high:na, color=ta.change(SR_high) ? na : #F00000, linewidth=3, offset=-(SR_rb + 1), title='Resistance')
SR_short = ta.ema(volume, 5)
SR_long = ta.ema(volume, 10)
SR_dlt = 100 * (SR_short - SR_long) / SR_long
alertcondition(ta.crossover(close, SR_high) and SR_dlt > SR_vol, title='Resistance Broken', message='Resistance Broken')
alertcondition(ta.crossunder(close, SR_low) and SR_dlt > SR_vol, title='Support Broken', message='Support Broken')
Profit Algoa//@versi
// نمایش سود/زیان در نمودار
plot(profitLoss, title="Profit/Loss", color=color.blue, linewidth=2)
// نمایش مقدار سود/زیان به صورت متن
plotchar(profitLoss, title="Profit/Loss Value", location=location.top, color=color.blue, size=size.small)
MSB-OB Strategy//@version=5
strategy("MSB-OB Strategy", overlay=true)
// تعریف تایم فریم 15 دقیقه
higher_tf = "15"
// تنظیمات حجم و استاپ لیمیت
stop_percentage = 0.20
target_percentage = 0.20
// محاسبه محدوده اردر بلاک
order_block_high = request.security(syminfo.tickerid, higher_tf, high)
order_block_low = request.security(syminfo.tickerid, higher_tf, low)
// محاسبه نقاط ورود
long_entry = close > order_block_high
short_entry = close < order_block_low
// نقاط استاپ و تارگت
long_stop = close * (1 - stop_percentage)
long_target = close * (1 + target_percentage)
short_stop = close * (1 + stop_percentage)
short_target = close * (1 - target_percentage)
// نمایش نواحی اردر بلاک
bgcolor(long_entry ? color.new(color.green, 90) : na, title="Long Zone", offset=-1)
bgcolor(short_entry ? color.new(color.red, 90) : na, title="Short Zone", offset=-1)
// نمایش استاپ و تارگت
plot(long_stop, color=color.red, linewidth=2, title="Long Stop")
plot(long_target, color=color.green, linewidth=2, title="Long Target")
plot(short_stop, color=color.green, linewidth=2, title="Short Stop")
plot(short_target, color=color.red, linewidth=2, title="Short Target")
// سیگنالهای ورود و خروج
if long_entry
strategy.entry("Long", strategy.long, stop=long_stop, limit=long_target)
if short_entry
strategy.entry("Short", strategy.short, stop=short_stop, limit=short_target)
Multi-Feature IndicatorThe Multi-Feature Indicator combines three popular technical analysis tools — RSI, Moving Averages (MA), and MACD — into a single indicator to provide unified buy and sell signals. This script is designed for traders who want to filter out noise and focus on signals confirmed by multiple criteria.
Features:
RSI (Relative Strength Index):
Measures momentum and identifies overbought (70) and oversold (30) conditions.
A signal is triggered when RSI crosses these thresholds.
Moving Averages (MA):
Uses a short-term moving average (default: 9 periods) and a long-term moving average (default: 21 periods).
Buy signals occur when the short-term MA crosses above the long-term MA, indicating an uptrend.
Sell signals occur when the short-term MA crosses below the long-term MA, indicating a downtrend.
MACD (Moving Average Convergence Divergence):
A trend-following momentum indicator that shows the relationship between two moving averages of an asset's price.
Signals are based on the crossover of the MACD line and its signal line.
Unified Buy and Sell Signals:
Buy Signal: Triggered when:
RSI crosses above 30 (leaving oversold territory).
Short-term MA crosses above the long-term MA.
MACD line crosses above the signal line.
Sell Signal: Triggered when:
RSI crosses below 70 (leaving overbought territory).
Short-term MA crosses below the long-term MA.
MACD line crosses below the signal line.
Visualization:
The indicator plots the short-term and long-term moving averages on the price chart.
Green "BUY" labels appear below price bars when all buy conditions are met.
Red "SELL" labels appear above price bars when all sell conditions are met.
Parameters:
RSI Length: Default is 14. This controls the sensitivity of the RSI.
Short MA Length: Default is 9. This determines the short-term trend.
Long MA Length: Default is 21. This determines the long-term trend.
Use Case:
The Multi-Feature Indicator is ideal for traders seeking higher confirmation before entering or exiting trades. By combining momentum (RSI), trend (MA), and momentum shifts (MACD), it reduces false signals and enhances decision-making.
How to Use:
Apply the indicator to your chart in TradingView.
Look for "BUY" or "SELL" signals, which appear when all conditions align.
Use this tool in conjunction with other analysis techniques for best results.
Note:
The default settings are suitable for many assets, but you may need to adjust them for different timeframes or market conditions.
This indicator is meant to assist in trading decisions and should not be used as the sole basis for trading.
FVG Breakout/BreakdownThe FVG Breakout/Breakdown indicator is designed to identify potential breakout and breakdown opportunities in the market, based on the concept of Fair Value Gaps (FVGs). FVGs are areas where price moves too quickly, leaving behind gaps between candlesticks, often seen as areas of inefficiency or imbalance that the market tends to revisit.
Key Concepts:
Fair Value Gaps (FVG):
FVG occurs when a price gap is created between candlesticks, typically when the high of one candle is lower than the low of the previous candle (for a bearish FVG) or the low of one candle is higher than the high of the previous candle (for a bullish FVG).
These gaps represent an imbalance between buying and selling pressure, and the market often revisits them, making them valuable for identifying potential entry points.
Bullish FVG: This occurs when the low of the current candle is higher than the high of the previous candle.
Condition: low > high
Bearish FVG: This occurs when the high of the current candle is lower than the low of the previous candle.
Condition: high < low
Breakout/Breakdown Signals:
Breakout: A bullish breakout signal occurs when the price breaks above a defined resistance level after an FVG gap. This suggests that the market may continue moving higher.
Breakdown: A bearish breakdown signal occurs when the price breaks below a defined support level after an FVG gap. This suggests that the market may continue moving lower.
NWOG (New Week Opening Gap):
The NWOG can be used as an additional factor to confirm the FVG signal. The gap between Friday's close and Monday's open is a crucial level for identifying the start of a new move for the week.
NWOG helps to further refine the timing of breakout or breakdown signals, only triggering them when price moves relative to the Monday Open and shows a new direction.
Merry Christmas Tree🎄 Merry Christmas 2024 🎅
May your holidays sparkle with joy and laughter, and may the year ahead be full of blessings and success. Wishing you and your loved ones peace, love, and happiness this Christmas and always! 🌟🎁
Dynamic Hybrid IndicatorHedef: Kısa vadeli trend dönüşlerini erken tespit ederek al-sat sinyalleri üretmek.
Zaman Dilimi: 1 dakikalık, 5 dakikalık ya da 15 dakikalık grafikler.
