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Good Friday is a solemn yet deeply meaningful day for Christians worldwide, commemorating the sacrifice of Jesus Christ. It’s a time for reflection, gratitude, and sharing messages of hope and love. Whether you’re looking to send Good Friday wishes to family, friends, or your community, this guide offers 30 heartfelt messages, inspiring quotes, and creative ways to spread peace. Let’s make this Good Friday 2025 unforgettable with words that touch the heart.
Good Friday, observed on the Friday before Easter, is a day of reverence and remembrance. Sharing Good Friday wishes helps strengthen bonds, express empathy, and spread positivity. A simple message can uplift someone’s spirit, reminding them of the hope and redemption at the heart of this day.
Here’s a collection of Good Friday wishes categorized for different recipients. Feel free to personalize these messages or use them as inspiration.
Quotes add depth to your Good Friday wishes and resonate with readers. Here are five powerful quotes to share:
Make your Good Friday wishes stand out with these ideas:
Extra Feature: Download our free PDF with all 30 Good Friday wishes, ready to print or share digitally. Download here. This adds value for readers and encourages engagement.
1. What should I write in a Good Friday wish?
Include a message of peace, hope, or reflection, such as “May the sacrifice of Jesus bring you strength this Good Friday.” Personalize it for the recipient.
2. Can I share Good Friday wishes on social media?
Absolutely! Use short wishes with hashtags like #GoodFridayWishes and pair them with images of crosses or doves for engagement.
3. Are there specific colors or symbols for Good Friday wishes?
Purple (symbolizing penance) and images of crosses or doves are common. Keep visuals simple and solemn.
4. When is Good Friday 2025?
Good Friday 2025 will be observed on April 18, the Friday before Easter Sunday.
5. Can I send Good Friday wishes to non-Christians?
Yes, but keep the message inclusive, focusing on universal themes like peace and kindness, e.g., “Wishing you a peaceful Good Friday.”
Good Friday is a time to pause, reflect, and share love. Pick your favorite Good Friday wishes from this list, add a personal touch, and send them to someone special. Download our free PDF of wishes here to make sharing even easier. Let’s make Good Friday 2025 a day of unity and hope!
What’s your favorite Good Friday wish? Share it in the comments below or tag us on social media with #GoodFridayWishes. We’d love to hear how you’re spreading peace this year!
| SCRIPT | RISK | ENTRY PRICE | SL | TP | SHARES QUANTITY |
|---|---|---|---|---|---|
| SL SIZE | TP SIZE | RISKED AMOUNT | RR |
|---|---|---|---|
| 0 | 0 | 0 | 0 |
0
0
0
0%
Total Portfolio Balance = Total calculated amount of your portfolio.
Script = Company Short Name
Risk = Percentage of risk per trade. 0.005 is 0.5% risk.
Entry Price = Buying price
SL = Stop-Loss
TP = Take Profit (Target)
Shares Quantity = The number of shares you have bought or are going to buy.
SL Size = Stop-Loss Size (Amount of loss per unit).
TP Size = Take Profit Size (Amount of Profit per unit).
Risked Amount = The Amount of risk you have taken for this trade.
RR = Risk to Reward Ratio.
Buyable Quantity = Number of shares you have to buy.
Investment Amount = Number of investments you have to make for this trade.
Reward Amount = Amount of profit you can make if it hits TP.
Capital Allocation = Percentage of your total capital used for this trade
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| Type of Trading | Description | Timeframe | Key Features |
|---|---|---|---|
| Scalping | Quick trades to capture small price changes. | Seconds to Minutes | High frequency, fast profits, very short holding period. |
| Intraday Trading | Trades opened and closed within the same day. | Minutes to Hours (5min to 1 hour) | No overnight positions, focuses on daily trends. |
| Swing Trading | Holding trades for days to weeks. | Days to Weeks | Captures short to medium-term price swings. |
| Position Trading | Long-term trades, focusing on big market moves. | Weeks to Months or Years | Minimal monitoring; based on fundamentals or long-term trends. |
In GPBUSD,
We will take only 4 digits after decimal.
Before price: 1.3269
After Price: 1.3132
Once: 1*(9-2)=7
Tens: 10*(6-3)=3
Hundreds: 100*(2-1)=1
So, Pips= 137
| Trading Sessions | Time (UTC-4, NYC) |
|---|---|
| Asian Session | 6:00 PM - 12:00 AM |
| Market Protraction | 12:00 AM - 2:00 AM |
| London Killzone | 2:00 AM - 5:00 AM |
| London Launch | 5:00 AM - 7:00 AM |
| New York Killzone | 7:00 AM - 10:00 AM |
| London Close | 10:00 AM - 12:00 PM |
| New York Launch | 12:00 PM - 1:00 PM |
| PM Session | 1:00 PM - 3:00 PM |
| Dead Time | 3:00 PM - 6:00 PM |
Use Indicator: Mr.Wilson Trading Session (UTC-4 NYC)
| Session | Time (UTC+5:45, KTM) |
|---|---|
| Asian Session | 3:45 AM - 9:45 AM |
| Market Protraction | 9:45 AM - 11:45 AM |
| London Killzone | 11:45 AM - 2:45 PM |
| London Launch | 2:45 PM - 4:45 PM |
| New York Killzone | 4:45 PM - 7:45 PM |
| London Close | 7:45 PM - 9:45 PM |
| New York Launch | 9:45 PM - 10:45 PM |
| PM Session | 10:45 PM - 12:45 AM (next day) |
| Dead Time | 12:45 AM - 3:45 AM (next day) |
Forex Factory: forexfactory.com
| SN | News & Events | Explanation |
|---|---|---|
| 1 | CPI (Consumer Price Index) | Measures the average change in prices paid by consumers, indicating inflation. |
| 2 | Interest Rate Decision | Central banks decide whether to raise, lower, or maintain interest rates, impacting currency value. |
| 3 | Inflation Rates | The rate at which the general level of prices for goods and services is rising, signaling economic health. |
| 4 | Labor Market Data | Information about employment, wages, and workforce participation, reflecting economic strength. |
| 5 | Employment Changes | Tracks changes in the number of employed people, influencing consumer spending and economic growth. |
| 6 | Non-Farm Payroll (NFP) Reports | Monthly report showing the number of jobs added in the U.S., excluding the farming sector; a key indicator of economic performance. |

Time for consolidation: Asian Session 18:00-12:AM (Mid- Night)
Not Appliable in AUD, NZD, JPY Currency. (Asian Banks are Running)
It’s a zone of market price from which the market price changes its characteristics.
Types of Price Delivery Arrey:
It’s a zone in the price chart from which the market usually takes a reversal from this zone.
Notes: OB is often placed by large financial institutions.
Strong Order Block is those OB from which the price will not cross 50% of that candle, also known as the mean threshold of OB.
It occurs when the price returns to a previously manipulated or inefficient zone, often caused by an imbalance or liquidity grab (like stop-hunting).
These blocks can act as support or resistance zones and are often good areas for re-entry or reversal setups. It is a zone where we usually take exit from the market in Breakeven.
Usually, it is formed with 3 candles on the swing high and swing low.
The middle candle must have taken the upper price than the other 2 side candles in the Buy-Side Mitigation Block and vice versa.
Liquidity pools are areas in a trading chart where many buy or sell orders are situated. Also, Stoploss of many traders are available here.
There are 2 types of Liquidity Pools:
First, confirm the running trend in the weekly time frame. Then go to the 4-hour time frame and follow the steps below.
Step 1: Liquidity Grab.
Step 2: Previous Structure Break (ITH/ITL)
Step 3: FVG in that Break.
Step 4: Enter in the middle of FVG. In a 15-minute time-frame.
SL= Swing High/Low of (ITH/ITL).
TP = 3 times of SL.
NOTES:
Trading Time Zone (NYC) 2 to 12
SL pips -> Less than 20
If 2 FVG -> Fib 50% Discount zone
You can use the trading step-up for both buying and selling. Now I am explaining it step by step for buying, you can do it vice-versa for selling.
Follow the steps below:
Step 1: Find a Sideways in the price trading chart.
Step 2: Let the price expand.
Step 3: Find the FVGs in that price expansion. Mark that FVGs.
Step 4: Use Fib Retracement from bottom to top. Then you will see the Discount price which is below 0.5. Now let that price come to that Discounted FVG zone.
Step 5: Now BUY in that FVG zone, then wait for price reversal.
Step 6: If the price reverses from that zone then you can sell at the high of that recent previous higher high.
Step 7: If the price goes down, hold up to the previous sideways lower low.
Watch -> 08:30 AM to 12:00 PM
Execute -> 12:30 AM to 8:30 AM
Step 1: Liquidity Sweep
Step 2: Reversal with Displacement
Step 3: OB or CISD Entry
Step 4: SL Swing High or Swing low
Step 5: TP Opposite Liquidy or 1:2 or 1:3 or 1:5
Step 1: Bias Confirmation (HTF) > MSB
Step 2: Liquidity Sweep
Step 3: Reversal with Displacement
Step 4: Entry (LTF) > MSS with Displacement
Step 5: Entry on FVG or OB created by displacement.
Step 6: SL > Nearest Swing Low / High
Step 7: TP Opposite Liquidy or 1:2 or 1:3 or 1:5
Step 1: Bias (Order Flow & Imbalance)
Step 2: Bigger time frame draw on liquidity – Liquidity sweep (Sell side or Buy Side)
Step 3: Reversal with displacement
Step 4: SMT for confirmation (Optional)
Step 5: Identify IFvG & CISD
Step 6: Entry at IFvG, CISD or FVG
Step 7: SL at Recent manipulated Swing (High/Low)
Step 8: TP at Opposing Liquidity Pool
NOTE: Trade up to Nepali Time 10 AM to 8 PM.
Copy this indicator code and paste it into your Pine Editor.
//@version=5
indicator("BUY SELL SIGNAL", overlay=true)
// === Input Parameters ===
// MA and RSI Inputs
fastLength = input.int(10, "Fast MA Length")
slowLength = input.int(20, "Slow MA Length")
rsiLength = input.int(14, "RSI Length")
rsiOverbought = input.float(70, "RSI Overbought Level")
rsiOversold = input.float(30, "RSI Oversold Level")
historyLength = input.int(10, "Number of historical signals to show")
// UT Bot Inputs
aValue = input.float(1, "UT Key Value (Sensitivity)")
atrPeriod = input.int(10, "UT ATR Period")
useHeikinAshi = input.bool(false, "Use Heikin Ashi Candles")
// ATR Trailing Stop Inputs
atrStopPeriod = input.int(5, "ATR Stop Period", minval=1, maxval=500)
hhvPeriod = input.int(10, "HHV Period", minval=1, maxval=500)
atrMultiplier = input.float(2.5, "ATR Multiplier", minval=0.1)
showBarColor = input.bool(false, "Show Bar Colors")
// === Calculation of Indicators ===
// MA and RSI calculations
fastMA = ta.sma(close, fastLength)
slowMA = ta.sma(close, slowLength)
rsi = ta.rsi(close, rsiLength)
// UT Bot calculations
xATR = ta.atr(atrPeriod)
nLoss = aValue * xATR
src = useHeikinAshi ? request.security(ticker.heikinashi(syminfo.tickerid), timeframe.period, close, barmerge.gaps_off, barmerge.lookahead_off) : close
// UT Bot trailing stop
var float xATRTrailingStop = na
xATRTrailingStop := if (src > nz(xATRTrailingStop[1], 0) and src[1] > nz(xATRTrailingStop[1], 0))
math.max(nz(xATRTrailingStop[1]), src - nLoss)
else
if (src < nz(xATRTrailingStop[1], 0) and src[1] < nz(xATRTrailingStop[1], 0))
math.min(nz(xATRTrailingStop[1]), src + nLoss)
else
if (src > nz(xATRTrailingStop[1], 0))
src - nLoss
else
src + nLoss
// ATR Trailing Stop calculations
atrStop = ta.atr(atrStopPeriod)
prevHigh = ta.highest(high - atrMultiplier * atrStop, hhvPeriod)
cum_1 = ta.cum(1)
highest_1 = ta.highest(high - atrMultiplier * atrStop, hhvPeriod)
iff_1 = close > highest_1 and close > close[1] ? highest_1 : prevHigh
trailingStop = cum_1 < 16 ? close : iff_1
// === Signal Generation ===
// MACD and RSI signals
macdBuyCondition = ta.crossover(fastMA, slowMA) and rsi < rsiOversold
macdSellCondition = ta.crossunder(fastMA, slowMA) and rsi > rsiOverbought
// UT Bot signals
utBotAbove = ta.crossover(ta.ema(src, 1), xATRTrailingStop)
utBotBelow = ta.crossover(xATRTrailingStop, ta.ema(src, 1))
utBotBuy = src > xATRTrailingStop and utBotAbove
utBotSell = src < xATRTrailingStop and utBotBelow
// ATR Trailing Stop signals
atrBuy = ta.crossover(close, trailingStop)
atrSell = ta.crossunder(close, trailingStop)
// Combined signals - requires agreement from all systems
finalBuySignal = macdBuyCondition and utBotBuy and atrBuy
finalSellSignal = macdSellCondition and utBotSell and atrSell
// === Plotting ===
// Plot moving averages
plot(fastMA, color=color.new(color.blue, 0), title="Fast MA")
plot(slowMA, color=color.new(color.red, 0), title="Slow MA")
// Dynamic ATR line color based on price position
atrLineColor = close > trailingStop ? color.green : close < trailingStop ? color.red : color.black
plot(trailingStop, color=atrLineColor, linewidth=3, title="ATR Trailing Stop")
// Arrays for historical signals
var buySignals = array.new_int(0)
var sellSignals = array.new_int(0)
// Manage signal arrays
manageSignalArray(arr, newSignal) =>
if newSignal
array.unshift(arr, bar_index)
if array.size(arr) > historyLength
array.pop(arr)
manageSignalArray(buySignals, finalBuySignal)
manageSignalArray(sellSignals, finalSellSignal)
// Plot signals
plotHistoricalSignals(arr, txt, col, lblStyle) =>
if array.size(arr) > 0
for i = 0 to math.min(array.size(arr) - 1, historyLength - 1)
signalBarIndex = array.get(arr, i)
signalPrice = lblStyle == label.style_label_up ? low[signalBarIndex - bar_index] : high[signalBarIndex - bar_index]
label.new(signalBarIndex, signalPrice, text=txt, color=col, textcolor=color.white,
style=lblStyle, size=size.normal)
// Current signals
if finalBuySignal
label.new(bar_index, low, text="STRONG BUY", color=color.green, textcolor=color.white,
style=label.style_label_up, size=size.large)
if finalSellSignal
label.new(bar_index, high, text="STRONG SELL", color=color.red, textcolor=color.white,
style=label.style_label_down, size=size.large)
// Historical signals
plotHistoricalSignals(buySignals, "STRONG BUY", color.green, label.style_label_up)
plotHistoricalSignals(sellSignals, "STRONG SELL", color.red, label.style_label_down)
// Plot Buy/Sell shapes with text
plotshape(finalBuySignal, title="Buy Signal", text="BUY", style=shape.labelup,
location=location.belowbar, color=color.green, textcolor=color.white, size=size.tiny)
plotshape(finalSellSignal, title="Sell Signal", text="SELL", style=shape.labeldown,
location=location.abovebar, color=color.red, textcolor=color.white, size=size.tiny)
// Plot UT Bot signals (smaller indicators)
plotshape(utBotBuy, title="UT Buy", text="Buy", style=shape.labelup, location=location.belowbar,
color=color.new(color.green, 50), textcolor=color.white, size=size.tiny)
plotshape(utBotSell, title="UT Sell", text="Sell", style=shape.labeldown, location=location.abovebar,
color=color.new(color.red, 50), textcolor=color.white, size=size.tiny)
// Bar coloring
barColor = close > trailingStop ? color.new(color.green, 70) : color.new(color.red, 70)
barcolor(showBarColor ? barColor : na)
// Input for EMA length, default set to 200
emaLength = input.int(200, title="EMA Length", minval=1)
// Calculate the EMA
emaValue = ta.ema(close, emaLength)
// Plot the EMA with a thick white line
plot(emaValue, color=color.white, linewidth=2, title="EMA")
// Function to calculate trend based on Moving Average crossovers
getTrend(_timeframe) =>
shortMa = ta.sma(request.security(syminfo.tickerid, _timeframe, close), 9)
longMa = ta.sma(request.security(syminfo.tickerid, _timeframe, close), 21)
trend = shortMa > longMa ? 1 : shortMa < longMa ? -1 : 0
[trend, shortMa, longMa]
// Get trends and Moving Averages for different timeframes
[trend1m, shortMa1m, longMa1m] = getTrend("1")
[trend5m, shortMa5m, longMa5m] = getTrend("5")
[trend15m, shortMa15m, longMa15m] = getTrend("15")
[trend30m, shortMa30m, longMa30m] = getTrend("30")
[trend1h, shortMa1h, longMa1h] = getTrend("60")
[trend4h, shortMa4h, longMa4h] = getTrend("240")
[trend1d, shortMa1d, longMa1d] = getTrend("D")
[trend1w, shortMa1w, longMa1w] = getTrend("W")
// Function to convert trend to text and color
trendText(trendValue) =>
trendValue == 1 ? "Bullish" : trendValue == -1 ? "Bearish" : "Neutral"
trendColor(trendValue) =>
trendValue == 1 ? color.green : trendValue == -1 ? color.red : color.gray
// Create a smaller table for displaying trends
var table t = table.new(position.bottom_right, 2, 8, frame_color=color.black, frame_width=1)
// Populate the table with timeframes and trend text (smaller text size)
table.cell(t, 0, 0, "1 min", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 0, trendText(trend1m), text_color=color.white, bgcolor=trendColor(trend1m), text_size=size.small)
table.cell(t, 0, 1, "5 min", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 1, trendText(trend5m), text_color=color.white, bgcolor=trendColor(trend5m), text_size=size.small)
table.cell(t, 0, 2, "15 min", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 2, trendText(trend15m), text_color=color.white, bgcolor=trendColor(trend15m), text_size=size.small)
table.cell(t, 0, 3, "30 min", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 3, trendText(trend30m), text_color=color.white, bgcolor=trendColor(trend30m), text_size=size.small)
table.cell(t, 0, 4, "1 Hour", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 4, trendText(trend1h), text_color=color.white, bgcolor=trendColor(trend1h), text_size=size.small)
table.cell(t, 0, 5, "4 Hour", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 5, trendText(trend4h), text_color=color.white, bgcolor=trendColor(trend4h), text_size=size.small)
table.cell(t, 0, 6, "Daily", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 6, trendText(trend1d), text_color=color.white, bgcolor=trendColor(trend1d), text_size=size.small)
table.cell(t, 0, 7, "Weekly", text_color=color.white, bgcolor=color.black, text_size=size.small)
table.cell(t, 1, 7, trendText(trend1w), text_color=color.white, bgcolor=trendColor(trend1w), text_size=size.small)
// === Input Parameters for Session Visibility ===
// Main Sessions
g1 = "Main Trading Sessions"
show_asian = input.bool(false, "Show Asian Session", group=g1)
show_pre_london = input.bool(false, "Show Pre-London", group=g1)
show_london = input.bool(false, "Show London Session", group=g1)
show_pre_ny = input.bool(false, "Show Pre-NY", group=g1)
show_ny = input.bool(false, "Show NY Session", group=g1)
// Detailed Sessions
g2 = "Detailed Trading Sessions"
show_market_prot = input.bool(false, "Show Market Protraction", group=g2)
show_london_kz = input.bool(false, "Show London Killzone", group=g2)
show_london_launch = input.bool(false, "Show London Launch", group=g2)
show_ny_kz = input.bool(false, "Show NY Killzone", group=g2)
show_london_close = input.bool(false, "Show London Close", group=g2)
show_ny_launch = input.bool(false, "Show NY Launch", group=g2)
show_pm_session = input.bool(false, "Show PM Session", group=g2)
show_dead_time = input.bool(false, "Show Dead Time", group=g2)
// Volatile Sessions
g3 = "Volatile Sessions"
show_nyc_session = input.bool(false, "Show NYC Session (8:00-17:00)", group=g3)
show_london_full = input.bool(false, "Show London Full Session (3:00-11:00)", group=g3)
show_peak_vol_ny = input.bool(true, "Show Peak Vol. (London & NYC 8:00-12:00)", group=g3)
show_peak_vol_lon = input.bool(true, "Show Peak Vol. London (7:00-9:00)", group=g3)
show_news = input.bool(false, "Show News Release Time", group=g3)
// === Color Settings ===
g4 = "Color Settings"
asian_color = input.color(color.new(#FFD700, 90), "Asian Session", group=g4)
pre_london_color = input.color(color.new(#87CEEB, 90), "Pre-London", group=g4)
london_color = input.color(color.new(#4169E1, 90), "London Session", group=g4)
pre_ny_color = input.color(color.new(#98FB98, 90), "Pre-NY", group=g4)
ny_color = input.color(color.new(#FF6B6B, 90), "NY Session", group=g4)
market_prot_color = input.color(color.new(#DDA0DD, 90), "Market Protraction", group=g4)
london_kz_color = input.color(color.new(#FF4500, 90), "London Killzone", group=g4)
london_launch_color = input.color(color.new(#32CD32, 90), "London Launch", group=g4)
ny_kz_color = input.color(color.new(#FF1493, 90), "NY Killzone", group=g4)
london_close_color = input.color(color.new(#4682B4, 90), "London Close", group=g4)
ny_launch_color = input.color(color.new(#9370DB, 90), "NY Launch", group=g4)
pm_session_color = input.color(color.new(#20B2AA, 90), "PM Session", group=g4)
dead_time_color = input.color(color.new(#808080, 90), "Dead Time", group=g4)
nyc_session_color = input.color(color.new(#FF8C00, 90), "NYC Session", group=g4)
london_full_color = input.color(color.new(#4682B4, 90), "London Full Session", group=g4)
peak_vol_ny_color = input.color(color.new(#FF0000, 90), "Peak Vol. NYC", group=g4)
peak_vol_lon_color = input.color(color.new(#FF4500, 90), "Peak Vol. London", group=g4)
news_color = input.color(color.new(#FFD700, 90), "News Release", group=g4)
// === Helper Functions ===
is_session_now(session_start_hour, session_start_min, session_end_hour, session_end_min) =>
current_hour = hour(time, "America/New_York") // Using New York timezone explicitly
current_minute = minute(time)
current_time = current_hour * 60 + current_minute
session_start = session_start_hour * 60 + session_start_min
session_end = session_end_hour * 60 + session_end_min
result = false
if session_end < session_start // Session crosses midnight
result := current_time >= session_start or current_time < session_end
else
result := current_time >= session_start and current_time < session_end
result
// Function to format time string with improved error handling
format_time(hour, minute) =>
hour_str = str.tostring(math.min(math.max(hour, 0), 23)) // Ensure hour is between 0-23
minute_str = str.tostring(math.min(math.max(minute, 0), 59)) // Ensure minute is between 0-59
// Add leading zeros
hour_str := hour < 10 ? "0" + hour_str : hour_str
minute_str := minute < 10 ? "0" + minute_str : minute_str
hour_str + ":" + minute_str
// Improved session name function with priority handling
get_session_name() =>
var string session_name = "NO ACTIVE SESSION"
// Order sessions by priority
if is_session_now(7, 0, 16, 45) and show_ny
session_name := "NEW YORK " + format_time(7, 0) + "-" + format_time(16, 45) + " ET"
else if is_session_now(2, 0, 5, 0) and show_london
session_name := "LONDON " + format_time(2, 0) + "-" + format_time(5, 0) + " ET"
else if is_session_now(18, 0, 0, 0) and show_asian
session_name := "ASIA " + format_time(18, 0) + "-" + format_time(0, 0) + " ET"
else if is_session_now(0, 0, 2, 0) and show_pre_london
session_name := "PRE-LON " + format_time(0, 0) + "-" + format_time(2, 0) + " ET"
else if is_session_now(5, 0, 7, 0) and show_pre_ny
session_name := "PRE-NY " + format_time(5, 0) + "-" + format_time(7, 0) + " ET"
// Additional sessions
if is_session_now(8, 0, 12, 0) and show_peak_vol_ny
session_name := "PEAK VOL. " + format_time(8, 0) + "-" + format_time(12, 0) + " ET"
else if is_session_now(7, 0, 9, 0) and show_peak_vol_lon
session_name := "PEAK VOL. LON " + format_time(7, 0) + "-" + format_time(9, 0) + " ET"
session_name
// === Session Checks and Drawing ===
var color transparent = color.new(color.white, 100)
bgcolor_final = transparent
// Priority-based session coloring
if show_peak_vol_ny and is_session_now(8, 0, 12, 0)
bgcolor_final := peak_vol_ny_color
else if show_peak_vol_lon and is_session_now(7, 0, 9, 0)
bgcolor_final := peak_vol_lon_color
else if show_ny and is_session_now(7, 0, 16, 45)
bgcolor_final := ny_color
else if show_london and is_session_now(2, 0, 5, 0)
bgcolor_final := london_color
else if show_asian and is_session_now(18, 0, 0, 0)
bgcolor_final := asian_color
else if show_pre_london and is_session_now(0, 0, 2, 0)
bgcolor_final := pre_london_color
else if show_pre_ny and is_session_now(5, 0, 7, 0)
bgcolor_final := pre_ny_color
// Additional sessions with lower priority
if show_news and is_session_now(8, 30, 10, 0)
bgcolor_final := news_color
if show_dead_time and is_session_now(15, 0, 18, 0)
bgcolor_final := dead_time_color
bgcolor(bgcolor_final)
// Display current session name with improved visibility
var table sessionInfo = table.new(position.top_right, 1, 1, bgcolor=color.new(color.black, 60))
table.cell(sessionInfo, 0, 0, get_session_name(), text_color=color.white, text_size=size.normal)
// Inputs
length = input.int(10, 'Swing Lookback', minval = 3)
showBull = input.int(3, 'Show Last Bullish OB', minval = 0)
showBear = input.int(3, 'Show Last Bearish OB', minval = 0)
useBody = input(false, 'Use Candle Body')
// Style Inputs
bullCss = input.color(color.new(#2157f3, 80), 'Bullish OB', inline = 'bullcss')
bullBreakCss = input.color(color.new(#ff1100, 80), 'Bullish Break', inline = 'bullcss')
bearCss = input.color(color.new(#ff5d00, 80), 'Bearish OB', inline = 'bearcss')
bearBreakCss = input.color(color.new(#0cb51a, 80), 'Bearish Break', inline = 'bearcss')
// User Defined Types
type ob
float top
float btm
int loc
bool breaker
int break_loc
type swing
float y
int x
bool crossed
// Functions
method notransp(color css) =>
color.rgb(color.r(css), color.g(css), color.b(css))
method display(ob id, color css, color break_css) =>
if id.breaker
box.new(id.loc, id.top, id.break_loc, id.btm, css.notransp(),
bgcolor = css,
xloc = xloc.bar_time)
box.new(id.break_loc, id.top, time + 1000000, id.btm, na,
bgcolor = break_css,
extend = extend.right,
xloc = xloc.bar_time)
line.new(id.loc, id.top, id.break_loc, id.top,
xloc = xloc.bar_time,
color = css.notransp())
line.new(id.loc, id.btm, id.break_loc, id.btm,
xloc = xloc.bar_time,
color = css.notransp())
line.new(id.break_loc, id.top, time + 1000000, id.top,
xloc = xloc.bar_time,
extend = extend.right,
color = break_css.notransp(),
style = line.style_dashed)
line.new(id.break_loc, id.btm, time + 1000000, id.btm,
xloc = xloc.bar_time,
extend = extend.right,
color = break_css.notransp(),
style = line.style_dashed)
else
box.new(id.loc, id.top, time + 1000000, id.btm, na,
bgcolor = css,
extend = extend.right,
xloc = xloc.bar_time)
line.new(id.loc, id.top, time + 1000000, id.top,
xloc = xloc.bar_time,
extend = extend.right,
color = css.notransp())
line.new(id.loc, id.btm, time + 1000000, id.btm,
xloc = xloc.bar_time,
extend = extend.right,
color = css.notransp())
swings(int len) =>
var os = 0
var swing top = swing.new(na, na, false)
var swing btm = swing.new(na, na, false)
upper = ta.highest(high, len)
lower = ta.lowest(low, len)
os := high[len] > upper ? 0 : low[len] < lower ? 1 : os
if os == 0 and os[1] != 0
top := swing.new(high[len], bar_index[len], false)
if os == 1 and os[1] != 1
btm := swing.new(low[len], bar_index[len], false)
[top, btm]
// Initialize Arrays
var array bullish_ob = array.new()
var array bearish_ob = array.new()
// Main Variables
n = bar_index
max = useBody ? math.max(close, open) : high
min = useBody ? math.min(close, open) : low
// Get Swings
[top, btm] = swings(length)
// Detect Bullish Order Blocks
if close > top.y and not top.crossed
top.crossed := true
minima = max[1]
maxima = min[1]
loc = time[1]
for i = 1 to (n - top.x)-1
minima := math.min(min[i], minima)
maxima := minima == min[i] ? max[i] : maxima
loc := minima == min[i] ? time[i] : loc
bullish_ob.unshift(ob.new(maxima, minima, loc, false, na))
// Process Bullish Order Blocks
if array.size(bullish_ob) > 0
for i = array.size(bullish_ob)-1 to 0
element = array.get(bullish_ob, i)
if not element.breaker
if math.min(close, open) < element.btm
element.breaker := true
element.break_loc := time
else
if close > element.top
array.remove(bullish_ob, i)
// Detect Bearish Order Blocks
if close < btm.y and not btm.crossed
btm.crossed := true
minima = min[1]
maxima = max[1]
loc = time[1]
for i = 1 to (n - btm.x)-1
maxima := math.max(max[i], maxima)
minima := maxima == max[i] ? min[i] : minima
loc := maxima == max[i] ? time[i] : loc
bearish_ob.unshift(ob.new(maxima, minima, loc, false, na))
// Process Bearish Order Blocks
if array.size(bearish_ob) > 0
for i = array.size(bearish_ob)-1 to 0
element = array.get(bearish_ob, i)
if not element.breaker
if math.max(close, open) > element.top
element.breaker := true
element.break_loc := time
else
if close < element.btm
array.remove(bearish_ob, i)
// Display Order Blocks
if barstate.islast
// Clear previous drawings
box.all.clear()
line.all.clear()
// Display Bullish Blocks
if showBull > 0
for i = 0 to math.min(showBull-1, array.size(bullish_ob)-1)
get_ob = array.get(bullish_ob, i)
get_ob.display(bullCss, bullBreakCss)
// Display Bearish Blocks
if showBear > 0
for i = 0 to math.min(showBear-1, array.size(bearish_ob)-1)
get_ob = array.get(bearish_ob, i)
get_ob.display(bearCss, bearBreakCss)
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There are 2 methods:
The chart is used to visualize prices in the form of chart form.
Track and record the previous price of the stocks.
It will help to understand previous price movements.
Taking trading decisions on the basis of the price moments of an assets.
Price always follows certain patterns and these patterns repeat over time.
Chart Pattern
-Bullish & Bearish Rectangle. (BOX Pattern)
-Triangle Pattern
-Double Top & Double Bottom (W Pattern)
-Head & Shoulders Pattern
-Flag Pattern
-Cup and Handle
Bollinger Band: Narrow
RSI: 60+
Marabuzu Candlestick with High volume.
Bollinger Band: Wide
Trendline Break-Down
Hydro
NYADI
SMH
SPL
CHL
BNHC
KBSH
MKJC
AHL
Finance
GUFL
PROFL
NFS
ICFC
JFL
RLFL
CFCL
Microfinance
VLBS
NESDO
SWBBL
ALBSL
DDBL
Bank
KBL
NICA
NMB
Dev-Bank
KRBL
SHINE
KSBBL
JBBL
Insurance
ILI
RNLI
IGI
Manufacture
SONA
SARBTM
GCIL
Others
NWCL
HRL
NRM
Broker Commission (0.33%): Rs. 330.00
SEBON FEE (0.015%): Rs. 15.00
DP Charge: Rs. 25.00
Total Amount: Rs. 100,370.00
Price Per Unit: Rs. 501.85
Broker Commission: Rs. 0.00
SEBON FEE: Rs. 0.00
DP Charge: Rs. 25.00
Capital Gain Tax: Rs. 0.00
Total Amount: Rs. 0.00
Price Per Unit: Rs. 0.00
Kantipur Font is the most used and classic Nepali Font which is used by most writers, designers, etc. It is a simple-looking Open Type Font and an easy-to-read font. And also, It slightly seems like a Preety font in clarity and readability. One of the top most famous Newspaper of Nepal use this font which is Kantipur Newspaper. It is in Nepali Devanagari language.

For Windows users, You can extract the zip file and double-click the font file, then press the Install button on top. Then it will be installed on your system and ready to use. If still it is not showing on your system then you just need to restart your computer.
For Mac OS Users, it’s the same as Windows users. You just need to open the font file by double-clicking and then pressing the install button. Then it will be ready to use.
>>>MORE FREE NEPALI FONTS<<<
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