NIKHIL ROY INDICATOR + Reversal Trap Entry/@version=5
indicator("NIKHIL ROY INDICATOR + Reversal Trap Entry", overlay=true)
// === SETTINGS ===
res_tf = "15"
lookback = 50
// === PREVIOUS 15min CANDLE ===
prevHigh = request.security(syminfo.tickerid, res_tf, high )
prevLow = request.security(syminfo.tickerid, res_tf, low )
prevOpen = request.security(syminfo.tickerid, res_tf, open )
prevClose = request.security(syminfo.tickerid, res_tf, close )
// Draw previous 15m candle (body and wick)
plot(prevHigh, "Prev High", color=color.gray, linewidth=1)
plot(prevLow, "Prev Low", color=color.gray, linewidth=1)
bgcolor((timeframe.isintraday and timeframe.period == "15") ? na : color.new(color.gray, 90))
// === SUPPORT & RESISTANCE ===
var float support = na
var float resistance = na
pivotLow = ta.pivotlow(low, 5, 5)
pivotHigh = ta.pivothigh(high, 5, 5)
if not na(pivotLow)
support := pivotLow
if not na(pivotHigh)
resistance := pivotHigh
plot(support, "Support", color=color.green, linewidth=2, style=plot.style_linebr)
plot(resistance, "Resistance", color=color.red, linewidth=2, style=plot.style_linebr)
// === SWING BREAK DETECTION ===
swingHighBreak = high > resistance and high <= resistance
swingLowBreak = low < support and low >= support
// === BREAKOUT FAILURE ===
breakoutFailure = swingHighBreak and close < resistance
breakdownFailure = swingLowBreak and close > support
// === RETEST AFTER WEAKNESS ===
retestSell = close < resistance and high > resistance and close < open
retestBuy = close > support and low < support and close > open
// === SIGNALS ===
// SELL on resistance retest + weakness
sellSignal = retestSell
// SELL if breakout fails
trapSell = breakoutFailure
// BUY on support retest + strength
buySignal = retestBuy
// BUY if breakdown fails
trapBuy = breakdownFailure
// === PLOT SIGNALS ===
plotshape(sellSignal, title="Sell Weakness", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.large, text="SELL")
plotshape(trapSell, title="Trap Sell", location=location.abovebar, color=color.red, style=shape.arrowdown, size=size.large, text="TRAP SELL")
plotshape(buySignal, title="Buy Strength", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.large, text="BUY")
plotshape(trapBuy, title="Trap Buy", location=location.belowbar, color=color.green, style=shape.arrowup, size=size.large, text="TRAP BUY")
مؤشرات بيل ويليامز
Horizontal Lines from ArrayMy Love
//@version=5
indicator("Horizontal Lines from Array", overlay=true)
// Mảng chứa các mức giá cần vẽ đường ngang
// Nhập chuỗi giá cách nhau bằng dấu phẩy
input_str = input.string("3380,3370", "Mức giá (phẩy giữa các giá)")
// Hàm tách chuỗi thành mảng (tối đa 10 phần tử)
split_str_to_float_array(str) =>
str_array = str.split(str, ",")
result = array.new_float()
for i = 0 to array.size(str_array) - 1
s = array.get(str_array, i)
f = str.tonumber(s)
if not na(f)
array.push(result, f)
result
levels = split_str_to_float_array(input_str)
// Lặp và vẽ các đường ngang
for i = 0 to array.size(levels) - 1
y = array.get(levels, i)
line.new( x1 = bar_index,y1 = y, x2 = bar_index + 1,y2 = y,color = color.blue,style = line.style_dashed,width = 1,extend=extend.both)
Scalper Signal PRO (EMA + RSI + Stoch)//@version=5
indicator("Scalper Signal PRO (EMA + RSI + Stoch)", overlay=true)
// === INPUTS ===
emaFastLen = input.int(5, "EMA Fast")
emaSlowLen = input.int(13, "EMA Slow")
rsiLen = input.int(14, "RSI Length")
rsiBuy = input.int(30, "RSI Buy Level")
rsiSell = input.int(70, "RSI Sell Level")
kPeriod = input.int(5, "Stoch K")
dPeriod = input.int(3, "Stoch D")
slowing = input.int(3, "Stoch Smoothing")
// === SESSION TIME ===
sessionStart = timestamp ("GMT+8", year, month, dayofmonth, 8, 0)
sessionEnd = timestamp("GMT+8" ,year, month, dayofmonth, 18, 0)
withinSession = time >= sessionStart and time <= sessionEnd
// === LOGIC ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
emaBullish = emaFast > emaSlow and ta.crossover(emaFast, emaSlow)
emaBearish = emaFast < emaSlow and ta.crossunder(emaFast, emaSlow)
rsi = ta.rsi(close, rsiLen)
k = ta.sma(ta.stoch(close, high, low, kPeriod), slowing)
d = ta.sma(k, dPeriod)
buyCond = emaBullish and rsi < rsiBuy and k > d and withinSession
sellCond = emaBearish and rsi > rsiSell and k < d and withinSession
// === PLOTS ===
showSignals = input.bool(true, "Show Buy/Sell Signals?")
plotshape(showSignals and buyCond, location=location.belowbar, style=shape.labelup, color=color.green, text="BUY", title="Buy Signal")
plotshape(showSignals and sellCond, location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL", title="Sell Signal")
plot(emaFast, "EMA Fast", color=color.orange)
plot(emaSlow, "EMA Slow", color=color.blue)
// === ALERTS ===
alertcondition(buyCond, title="Buy Alert", message="Scalper PRO Buy Signal")
alertcondition(sellCond, title="Sell Alert", message="Scalper PRO Sell Signal")
// === DASHBOARD ===
var table dash = table.new(position.top_right, 2, 5, frame_color=color.gray, frame_width=1)
bg = color.new(color.black, 85)
table.cell(dash, 0, 0, "Scalper PRO", bgcolor=bg, text_color=color.white, text_size=size.normal)
table.cell(dash, 0, 1, "Trend", bgcolor=bg)
table.cell(dash, 1, 1, emaFast > emaSlow ? "Bullish" : "Bearish", bgcolor=emaFast > emaSlow ? color.green : color.red, text_color=color.white)
table.cell(dash, 0, 2, "RSI", bgcolor=bg)
table.cell(dash, 1, 2, str.tostring(rsi, "#.0"), bgcolor=color.gray, text_color=color.white)
table.cell(dash, 0, 3, "Stoch K/D", bgcolor=bg)
table.cell(dash, 1, 3, str.tostring(k, "#.0") + "/" + str.tostring(d, "#.0"), bgcolor=color.navy, text_color=color.white)
table.cell(dash, 0, 4, "Session", bgcolor=bg)
table.cell(dash, 1, 4, withinSession ? "LIVE" : "OFF", bgcolor=withinSession ? color.green : color.red, text_color=color.white)
BOS ➝ FVG Combo (15m only, 1‑candle window)How it works:
Timeframe filter ensures nothing plots except on a 15 min chart.
bos_fvg_window = 1 hard‑codes the gap to appear within one candle of the BOS.
It marks BOS (triangles) and then only the FVG that occur in the very next bar (circles).
To use:
Open your 15 min chart in TradingView.
Open the Pine Editor, paste in this script.
Click “Add to Chart”.
Let me know if you’d like to add alerts, entry/exit rules, or any session/time‑of‑day filters!
Williams Percent Range proOverview
Williams Percent Range Pro is a powerful divergence detection tool based on the Williams %R oscillator.
It automatically identifies and plots regular and hidden divergences between price action and the %R oscillator, providing traders with early indications of potential trend reversals or trend continuations.
This indicator enhances the classic Williams %R by adding intelligent divergence detection logic, customizable visualization, and integrated alert conditions — making it a highly versatile tool for both manual and automated trading.
Features
Automatic Divergence Detection
Regular Divergence (signals trend reversals)
Hidden Divergence (signals trend continuations)
Customizable Settings
Period length, source price, color customization for each divergence type
Visual Enhancements
Overbought, Mid, and Oversold levels (-20, -50, -80)
Shaded background for easier visual interpretation
Pivot Detection
Identifies key swing points on the Williams %R line for divergence comparison
Integrated Alerts
Set up alerts for each type of divergence without coding
Lightweight and Optimized
Designed for fast loading and efficient operation on any timeframe
How It Works
Williams %R Calculation
The script calculates the Williams %R as follows:
%R = 100 × (Close - Highest High over Period) ÷ (Highest High - Lowest Low)
This results in a value that moves between -100 and 0, indicating overbought and oversold conditions.
Pivot Detection
The indicator uses pivot highs and pivot lows on the %R line to determine important swing points.
Pivot logic is based on comparing neighboring candles (5 bars to the left and 5 bars to the right by default).
Divergence Detection
1. Regular Divergence
Regular Bullish Divergence:
Price makes a Lower Low
Williams %R makes a Higher Low
→ Signals potential upward reversal
Regular Bearish Divergence:
Price makes a Higher High
Williams %R makes a Lower High
→ Signals potential downward reversal
2. Hidden Divergence
Hidden Bullish Divergence:
Price makes a Higher Low
Williams %R makes a Lower Low
→ Signals potential upward continuation
Hidden Bearish Divergence:
Price makes a Lower High
Williams %R makes a Higher High
→ Signals potential downward continuation
Each type of divergence is plotted with a specific label and customizable color on the indicator.
Input Parameters
Input Description
Length Period length for Williams %R calculation (default: 14)
Source Data source (default: Close)
Show Regular Divergence Enable/disable regular divergence detection
Show Hidden Divergence Enable/disable hidden divergence detection
Regular Bullish Color Color for regular bullish divergence labels
Regular Bearish Color Color for regular bearish divergence labels
Hidden Bullish Color Color for hidden bullish divergence labels
Hidden Bearish Color Color for hidden bearish divergence labels
Visual Elements
Horizontal Lines:
-20: Overbought zone
-50: Mid-level (dashed line)
-80: Oversold zone
Background Shading:
Fills between -20 and -80 for better visual focus on active trading zones.
Divergence Labels:
Bull = Regular Bullish Divergence
Bear = Regular Bearish Divergence
H Bull = Hidden Bullish Divergence
H Bear = Hidden Bearish Divergence
Each label appears exactly at the pivot points of the Williams %R line, offset slightly for clarity.
Alerts
You can create TradingView alerts based on the following conditions:
Regular Bullish Divergence Detected
Regular Bearish Divergence Detected
Hidden Bullish Divergence Detected
Hidden Bearish Divergence Detected
This allows fully automated trading setups or mobile push notifications.
Example alert message:
"Williams %R Regular Bullish Divergence Detected"
Usage Tips
Entry Strategy:
Combine divergence signals with trend confirmation indicators like EMA/SMA, MACD, or Volume.
Exit Strategy:
Monitor when price reaches key resistance/support zones or overbought/oversold levels on the %R.
Higher Accuracy:
Always confirm divergences with price action patterns such as breakouts, candlestick formations, or trendline breaks.
Conclusion
The Williams Percent Range Pro indicator brings powerful divergence detection and customization features to a classic momentum oscillator.
It provides clear visual and alert-based trading signals that help you anticipate major turning points or trend continuations in any market and timeframe.
Whether you are a swing trader, day trader, or scalper, this tool can be an essential addition to your technical analysis toolkit.
Iconic Traders SessionsIconicTraders Sessions. D.D. indicatior, markiert die highs and lows (Asia & London Session)
Williams Percent Range proWilliams Percent Range with Divergences (Williams %R Div)
Description:
This indicator enhances the traditional Williams %R oscillator by detecting both Regular Divergence and Hidden Divergence directly on the %R line. It helps traders spot potential trend reversals and trend continuations with high precision.
Key Features:
Williams %R calculation (standard, normalized between -100 and 0).
Pivot-based detection of divergences:
Regular Bullish Divergence: Price makes a lower low, but %R makes a higher low → potential upward reversal.
Regular Bearish Divergence: Price makes a higher high, but %R makes a lower high → potential downward reversal.
Hidden Bullish Divergence: Price makes a higher low, but %R makes a lower low → potential trend continuation upward.
Hidden Bearish Divergence: Price makes a lower high, but %R makes a higher high → potential trend continuation downward.
Customizable settings:
Enable/disable Regular and Hidden Divergences separately.
Customize colors for each divergence type.
Visual plotting:
Divergence signals are marked with labels (Bull, Bear, H Bull, H Bear) directly on the %R panel.
Built-in alert conditions:
Instant alerts when a Regular or Hidden Divergence is detected.
Usage Recommendation:
Regular Divergences are best used to anticipate trend reversals.
Hidden Divergences are useful for confirming trend continuations.
Combining divergence detection with key support/resistance levels, candlestick patterns, or moving averages can significantly enhance trading accuracy.
Theonator Bank Volume Entry & Exit v2best of the best im telling you liek this shit slapps the bank in the head
Scalper Signal PRO (EMA + RSI + Stoch)//@version=5
indicator("Scalper Signal PRO (EMA + RSI + Stoch)", overlay=true)
// === INPUTS ===
emaFastLen = input.int(5, "EMA Fast")
emaSlowLen = input.int(13, "EMA Slow")
rsiLen = input.int(14, "RSI Length")
rsiBuy = input.int(30, "RSI Buy Level")
rsiSell = input.int(70, "RSI Sell Level")
kPeriod = input.int(5, "Stoch K")
dPeriod = input.int(3, "Stoch D")
slowing = input.int(3, "Stoch Smoothing")
// === SESSION TIME ===
sessionStart = timestamp ("GMT+8", year, month, dayofmonth, 8, 0)
sessionEnd = timestamp("GMT+8" ,year, month, dayofmonth, 18, 0)
withinSession = time >= sessionStart and time <= sessionEnd
// === LOGIC ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
emaBullish = emaFast > emaSlow and ta.crossover(emaFast, emaSlow)
emaBearish = emaFast < emaSlow and ta.crossunder(emaFast, emaSlow)
rsi = ta.rsi(close, rsiLen)
k = ta.sma(ta.stoch(close, high, low, kPeriod), slowing)
d = ta.sma(k, dPeriod)
buyCond = emaBullish and rsi < rsiBuy and k > d and withinSession
sellCond = emaBearish and rsi > rsiSell and k < d and withinSession
// === PLOTS ===
showSignals = input.bool(true, "Show Buy/Sell Signals?")
plotshape(showSignals and buyCond, location=location.belowbar, style=shape.labelup, color=color.green, text="BUY", title="Buy Signal")
plotshape(showSignals and sellCond, location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL", title="Sell Signal")
plot(emaFast, "EMA Fast", color=color.orange)
plot(emaSlow, "EMA Slow", color=color.blue)
// === ALERTS ===
alertcondition(buyCond, title="Buy Alert", message="Scalper PRO Buy Signal")
alertcondition(sellCond, title="Sell Alert", message="Scalper PRO Sell Signal")
// === DASHBOARD ===
var table dash = table.new(position.top_right, 2, 5, frame_color=color.gray, frame_width=1)
bg = color.new(color.black, 85)
table.cell(dash, 0, 0, "Scalper PRO", bgcolor=bg, text_color=color.white, text_size=size.normal)
table.cell(dash, 0, 1, "Trend", bgcolor=bg)
table.cell(dash, 1, 1, emaFast > emaSlow ? "Bullish" : "Bearish", bgcolor=emaFast > emaSlow ? color.green : color.red, text_color=color.white)
table.cell(dash, 0, 2, "RSI", bgcolor=bg)
table.cell(dash, 1, 2, str.tostring(rsi, "#.0"), bgcolor=color.gray, text_color=color.white)
table.cell(dash, 0, 3, "Stoch K/D", bgcolor=bg)
table.cell(dash, 1, 3, str.tostring(k, "#.0") + "/" + str.tostring(d, "#.0"), bgcolor=color.navy, text_color=color.white)
table.cell(dash, 0, 4, "Session", bgcolor=bg)
table.cell(dash, 1, 4, withinSession ? "LIVE" : "OFF", bgcolor=withinSession ? color.green : color.red, text_color=color.white)
Scalper Signal PRO (EMA + RSI + Stoch)How to use it
Buy Signal:
. EMA 5 crosses above EMA 13
. Price is above EMA 50
. RSI near or just above 30
Sell Signal:
. EMA 5 crosses below EMA 13
. Price is below EMA 50
. RSI near or just below 30
Scalping Súper Oscilador by Rouro [Actualizado]This scalping strategy is designed to detect overbought and oversold zones using a custom Super Oscillator that combines five classic indicators: RSI, Stochastic, CCI, ROC, and Williams %R, with adjustable thresholds.
⚙️ How does it work? Entry signal: Buy: when the oscillator rises from the oversold zone (-0.8) and the candlestick is bullish. Sell: when the oscillator goes down from the overbought zone (0.8) and the candlestick is bearish. Time filter: possibility to operate only in a configurable time slot (e.g. from 10:00 to 12:00 local time). Dynamic SL/TP: Stop Loss is calculated using the low/high of the last X candles, and the Take Profit according to a configurable Risk/Reward Ratio. One operation per signal, with no overlaps.
🧠 Visuals and Panels: Visual oscillator with smooth EMA. Indicator traffic light that shows the individual status (green, red or grey) on the screen. Real-time statistics table: Backtest start date.
🧩 Full customization:
Periods and levels for each indicator.
Oscillator top/bottom level.
Schedule settings.
Option to show or hide the oscillator baseline.
CryptoQuebec Suite// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// Crypto Quebec & StefB.
//@version=6
indicator("CryptoQuebec Suite", overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500, max_bars_back = 500)
//strategy("UT BOT Amélioré pour le Day Trading Crypto", overlay=true, initial_capital=1000, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// Version 2.0 order block ajustable colors
// Version 2.1 draw swing High/low
// Version 2.2 Changed the wording of "Area of interest" for "Premium Zone" and "Discount Zone"
// Version 2.3 Added the price to the auto fib levels.
// Version 2.4 Correction. Added 3 digits after the dot of the auto fib. This was lost when the price has been added.
// Version 2.4.01 Added few fib levels. (0, -0.272, -0.414, -0.618).
// Version 2.4.02 Added few fib levels. (1, 1.272, 1.414, 1.618).
// Version 2.4.03 Made a small change in the label of 240L, 240H, DL and DH. Change 240 for 4h and H/L for Lo/Hi
// Version 2.4.04 Added digits after the dot for more price precision into the Fib levels.
// Version 2.4.05 Added Entry long/short indicator base on EMA. Also added the trailing stop line.
// Version 2.4.06 Added Trail Stop enable/disable option. Moved the Buy/Sell label farther from the candles.
// Version 2.4.07 Added Trend info table with active trading session
// Version 2.4.08 Small adjustment in the trend table and FIB lines more visible.
// Version 2.4.09 Changed the indicator name for CryptoQuebe Suite.
//---------------------------------------------------------------------------------------------------------------------
//CONSTANTS & STRINGS & INPUTS
//---------------------------------------------------------------------------------------------------------------------
BULLISH = +1
BEARISH = -1
showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart'
bullC = input.color(defval = #14D990, title = "Bull Color", group = "Smart Money Concepts", inline = "7")
bearC = input.color(defval = #F24968, title = "Bear Color", group = "Smart Money Concepts", inline = "7")
showInt = input.bool(defval = true, title = "Show Internals", group = "Smart Money Concepts")
intSens = input.int(3, "Internals Sensitivity", options = , group = "Smart Money Concepts", inline = "20")
intStru = input.string(defval = "All", title = "Internal Structure", options = , inline = "30", group = "Smart Money Concepts")
showExt = input.bool(defval = true, title = "Show Externals" ,group = "Smart Money Concepts")
extSens = input.int(25, "Externals Sensitivity", options = ,group = "Smart Money Concepts", inline = "21")
extStru = input.string(defval = "All", title = "External Structure", options = , inline = "31", group = "Smart Money Concepts")
showOB = input.bool(defval = true, title = "Show Order Blocks" ,group = "Swing Blocks")
//----------------------------------------------
//showHighLowSwingsInput = input(true, 'Show Strong/Weak High/Low', group = "Smart Money Concepts", tooltip = showHighLowSwingsTooltip)
BullOBColor = input.color(color.new(#3179f5, 80), 'Internal Bullish OB',group = "Swing Blocks")
BearOBColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB',group = "Swing Blocks")
//---------------------------------------------------------------------------
showLast = input.int(defval = 10, title = "Swing Order Blocks", minval = 0, group = "Swing Blocks")
showHHLH = input.bool(defval = true, title = "Show HH/LH", group = "Swing Blocks")
showHLLL = input.bool(defval = true, title = "Show LH/LL", group = "Swing Blocks")
showAOE = input.bool(defval = true, title = "Show Premium/Discount", group = "Swing Blocks")
//showAOE = input.bool(defval = true, title = "Show Area of Interest", group = "Swing Blocks")
show1D = input.bool(defval = true, title = "Show Previous Day High", group = "High/Low")
show1DLab = input.bool(defval = true, title = "Show 1 Day Labels", group = "High/Low")
show4H = input.bool(defval = true, title = "Show 4 Hour High", group = "High/Low")
show4hLab = input.bool(defval = true, title = "Show 4 Hour Labels", group = "High/Low")
showFVG = input.bool(defval = true, title = "Show Fair Value Gaps", group = "FVG")
contract = input.bool(defval = false, title = "Contract Violated FVG", group = "FVG")
closeOnly = input.bool(defval = false, title = "Show Closest Up/Down FVG Only", group = "FVG")
fvgcol = input.color(defval = #F2B807, title = "FVG Color", group = "FVG")
fvgtra = input.int(defval = 80, minval = 0, maxval = 100, title = "FVG Transparency", group = "FVG")
showFibs = input.bool(defval = true, title = "Show Auto Fibs", group = "Auto Fibs")
// extSensFibs = input.int(25, "Fibs Sensitivity", options = , group = "Auto Fibs", inline = "22")
show0_618 = input.bool(defval = true, title = "", inline = "1", group = "Auto Fibs")
show0_414 = input.bool(defval = true, title = "", inline = "2", group = "Auto Fibs")
show0_272 = input.bool(defval = true, title = "", inline = "3", group = "Auto Fibs")
show0 = input.bool(defval = true, title = "", inline = "4", group = "Auto Fibs")
show236 = input.bool(defval = true, title = "", inline = "5", group = "Auto Fibs")
show382 = input.bool(defval = true, title = "", inline = "6", group = "Auto Fibs")
show5 = input.bool(defval = true, title = "", inline = "7", group = "Auto Fibs")
show618 = input.bool(defval = true, title = "", inline = "8", group = "Auto Fibs")
show65 = input.bool(defval = true, title = "", inline = "9", group = "Auto Fibs")
show786 = input.bool(defval = true, title = "", inline = "10", group = "Auto Fibs")
show1 = input.bool(defval = true, title = "", inline = "11", group = "Auto Fibs")
show1_272 = input.bool(defval = true, title = "", inline = "12", group = "Auto Fibs")
show1_414 = input.bool(defval = true, title = "", inline = "13", group = "Auto Fibs")
show1_618 = input.bool(defval = true, title = "", inline = "14", group = "Auto Fibs")
fib1 = input.float(defval = -0.618, title = "", minval = -0.618, step = 0.01, inline = "1", group = "Auto Fibs")
fib2 = input.float(defval = -0.414, title = "", minval = -0.618, step = 0.01, inline = "2", group = "Auto Fibs")
fib3 = input.float(defval = -0.272, title = "", minval = -0.618, step = 0.01, inline = "3", group = "Auto Fibs")
fib4 = input.float(defval = 0, title = "", minval = 0, step = 0.01, inline = "4", group = "Auto Fibs")
fib5 = input.float(defval = .236, title = "", minval = 0, step = 0.01, inline = "5", group = "Auto Fibs")
fib6 = input.float(defval = .382, title = "", minval = 0, step = 0.01, inline = "6", group = "Auto Fibs")
fib7 = input.float(defval = .5, title = "", minval = 0, step = 0.01, inline = "7", group = "Auto Fibs")
fib8 = input.float(defval = .618, title = "", minval = 0, step = 0.01, inline = "8", group = "Auto Fibs")
fib9 = input.float(defval = .65, title = "", minval = 0, step = 0.01, inline = "9", group = "Auto Fibs")
fib10 = input.float(defval = .786, title = "", minval = 0, step = 0.01, inline = "10", group = "Auto Fibs")
fib11 = input.float(defval = 1, title = "", minval = 0, step = 0.01, inline = "11", group = "Auto Fibs")
fib12 = input.float(defval = 1.272, title = "", minval = 0, step = 0.01, inline = "12", group = "Auto Fibs")
fib13 = input.float(defval = 1.414, title = "", minval = 0, step = 0.01, inline = "13", group = "Auto Fibs")
fib14 = input.float(defval = 1.618, title = "", minval = 0, step = 0.01, inline = "14", group = "Auto Fibs")
fib1col = input.color(title = "", defval = color.orange, inline = "1", group = "Auto Fibs")
fib2col = input.color(title = "", defval = color.orange, inline = "2", group = "Auto Fibs")
fib3col = input.color(title = "", defval = color.orange, inline = "3", group = "Auto Fibs")
fib4col = input.color(title = "", defval = color.gray, inline = "4", group = "Auto Fibs")
fib5col = input.color(title = "", defval = color.white, inline = "5", group = "Auto Fibs")
fib6col = input.color(title = "", defval = color.white, inline = "6", group = "Auto Fibs")
fib7col = input.color(title = "", defval = color.red, inline = "7", group = "Auto Fibs")
fib8col = input.color(title = "", defval = color.green, inline = "8", group = "Auto Fibs")
fib9col = input.color(title = "", defval = color.green, inline = "9", group = "Auto Fibs")
fib10col = input.color(title = "", defval = color.white, inline = "10", group = "Auto Fibs")
fib11col = input.color(title = "", defval = color.gray, inline = "11", group = "Auto Fibs")
fib12col = input.color(title = "", defval = color.orange, inline = "12", group = "Auto Fibs")
fib13col = input.color(title = "", defval = color.orange, inline = "13", group = "Auto Fibs")
fib14col = input.color(title = "", defval = color.orange, inline = "14", group = "Auto Fibs")
//---------------------------------------------------------------------------------------------------------------------
//DATA STRUCTURES & VARIABLES
//---------------------------------------------------------------------------------------------------------------------
// @type UDT representing last swing extremes (top & bottom)
// @field top last top swing price
// @field bottom last bottom swing price
// @field barTime last swing bar time
// @field barIndex last swing bar index
// @field lastTopTime last top swing time
// @field lastBottomTime last bottom swing time
type trailingExtremes
float top
float bottom
int barTime
int barIndex
int lastTopTime
int lastBottomTime
// @type UDT representing trend bias
// @field bias BULLISH or BEARISH
type trend
int bias
var bigData = map.new()
// @variable swing trend bias
var trend swingTrend = trend.new(0)
// @variable last trailing swing high and low
var trailingExtremes trailing = trailingExtremes.new()
// @variable color for swing bullish structures
var swingBullishColor = color.green //styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput
// @variable color for swing bearish structures
var swingBearishColor = color.red //styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput
if bigData.size() == 0
bigData.put("moving", 0)
bigData.put("upaxis", 0.0)
bigData.put("upaxis2", 0)
bigData.put("dnaxis", 0.0)
bigData.put("dnaxis2", 0)
bigData.put("upside", 1)
bigData.put("downside", 1)
= request.security(syminfo.tickerid, "1D", [high , low , high, low, time , time])
var highArr = array.new_float(), var lowArr = array.new_float()
var timeArr = array.new_int (), var volArr = array.new_float()
var closeArr = array.new_float(), var openArr = array.new_float()
highArr.unshift(high), lowArr.unshift(low)
timeArr.unshift(time), volArr.unshift(volume)
closeArr.unshift(close), openArr.unshift(open)
type rollingTF
float highTF = 0
float lowTF = 1e8
int highTFt = 0
int lowTFt = 0
float volTF = 0
map rTFdraw
map rTFlabel
// Convert time period in text
f_convert_tf_to_text(tf) =>
tf == "240" ? "H4" : tf == "1D" ? "D" : tf == "60" ? "1h" : tf == "15" ? "15m" : tf
// Create the labels fo each level
offset = 10 // Ajustez cette valeur selon le décalage souhaité
// Ajust the label position in case of overide
f_adjust_label_position(x, offset) =>
x + offset
// @function tfDraw
// @param tfDiff Specifies the timeframe difference for the high/low calculations.
// @param showRollingLab Indicates whether to display rolling labels for timeframes.
// @param tf Specifies the timeframe as a string.
// @param showLevels Determines if the high/low levels for the timeframe should be shown.
// @returns A tuple with the total volume (TFhrdata.volTF) and the rolling volume array (volRolling).
method tfDraw(int tfDiff, bool showRollingLab, string tf, bool showLevels) =>
TFhrdata = rollingTF.new(), var volRolling = array.new()
if highArr.size() > tfDiff
for i = 0 to tfDiff
if showLevels and barstate.islast
getHigh = highArr.get(i), getLow = lowArr.get(i),
getTime = timeArr.get(i)
TFhrdata.highTF := math.max(TFhrdata.highTF, getHigh)
TFhrdata.lowTF := math.min(TFhrdata.lowTF , getLow )
if TFhrdata.highTF == getHigh
TFhrdata.highTFt := timeArr.get(i)
if TFhrdata.lowTF == getLow
TFhrdata.lowTFt := timeArr.get(i)
TFhrdata.volTF += volArr.get(i)
volRolling.push(TFhrdata.volTF)
var lineDraw = rollingTF.new(rTFdraw = map.new(), rTFlabel = map.new())
if showLevels
switch lineDraw.rTFdraw.size() == 0
true => lineDraw.rTFdraw.put("High", line.new(TFhrdata.highTFt, TFhrdata.highTF, time, TFhrdata.highTF,
xloc = xloc.bar_time, color = color.aqua)),
lineDraw.rTFdraw.put("Low" , line.new(TFhrdata.lowTFt , TFhrdata.lowTF , time, TFhrdata.lowTF ,
xloc = xloc.bar_time, color = color.aqua))
=> lineDraw.rTFdraw.get("High").set_xy1(TFhrdata.highTFt, TFhrdata.highTF),
lineDraw.rTFdraw.get("High").set_xy2(time, TFhrdata.highTF),
lineDraw.rTFdraw.get("Low").set_xy1(TFhrdata.lowTFt, TFhrdata.lowTF),
lineDraw.rTFdraw.get("Low").set_xy2(time, TFhrdata.lowTF)
if showRollingLab
switch lineDraw.rTFlabel.size() == 0
true => lineDraw.rTFlabel.put("High", label.new(f_adjust_label_position(bar_index, offset), TFhrdata.highTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Hi", style = label.style_label_left, size = size.normal, color = #00000000)),
lineDraw.rTFlabel.put("Low", label.new(f_adjust_label_position(bar_index, offset), TFhrdata.lowTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Lo", style = label.style_label_left, size = size.normal, color = #00000000))
=> lineDraw.rTFlabel.get("High") .set_xy(time, TFhrdata.highTF),
lineDraw.rTFlabel.get("Low") .set_xy(time, TFhrdata.lowTF)
// @function tfDrawLower
// @param showRollingLab Indicates whether to display rolling labels for lower timeframes.
// @param tf Specifies the lower timeframe as a string.
// @param showLevels Determines if the high/low levels for the lower timeframe should be shown.
// @returns (volume and volume array)
tfDrawLower(bool showRollingLab, simple string tf, bool showLevels) =>
simple int end = switch tf
"240" => 240
"1D" => 1440
= request.security_lower_tf(syminfo.tickerid, "1", )
var oArr = array.new_float()
var hArr = array.new_float()
var lArr = array.new_float()
var cArr = array.new_float()
var vArr = array.new_float()
var tArr = array.new_int()
TFhrdata = rollingTF.new(), var volRolling = array.new()
if h.size() > 0
for i = 0 to h.size() - 1
oArr.push(o.get(i))
hArr.push(h.get(i))
lArr.push(l.get(i))
cArr.push(c.get(i))
vArr.push(v.get(i))
tArr.push(t.get(i))
if hArr.size() > end
oArr.shift()
hArr.shift()
lArr.shift()
cArr.shift()
vArr.shift()
tArr.shift()
for i = 0 to hArr.size() - 1
if showLevels
getHigh = hArr.get(i), getLow = lArr.get(i),
getTime = tArr.get(i)
TFhrdata.highTF := math.max(TFhrdata.highTF, getHigh)
TFhrdata.lowTF := math.min(TFhrdata.lowTF , getLow)
if TFhrdata.highTF == getHigh
TFhrdata.highTFt := tArr.get(i)
if TFhrdata.lowTF == getLow
TFhrdata.lowTFt := tArr.get(i)
TFhrdata.volTF += vArr.get(i)
volRolling.push(TFhrdata.volTF)
var lineDraw = rollingTF.new(rTFdraw = map.new(), rTFlabel = map.new())
if showLevels
switch lineDraw.rTFdraw.size() == 0
true => lineDraw.rTFdraw.put("High", line.new(TFhrdata.highTFt, TFhrdata.highTF, time, TFhrdata.highTF,
xloc = xloc.bar_time, color = color.aqua)),
lineDraw.rTFdraw.put("Low" , line.new(TFhrdata.lowTFt , TFhrdata.lowTF , time, TFhrdata.lowTF ,
xloc = xloc.bar_time, color = color.aqua))
=> lineDraw.rTFdraw.get("High").set_xy1(TFhrdata.highTFt, TFhrdata.highTF),
lineDraw.rTFdraw.get("High").set_xy2(time, TFhrdata.highTF),
lineDraw.rTFdraw.get("Low").set_xy1(TFhrdata.lowTFt, TFhrdata.lowTF),
lineDraw.rTFdraw.get("Low").set_xy2(time, TFhrdata.lowTF)
if showRollingLab
switch lineDraw.rTFlabel.size() == 0
true => lineDraw.rTFlabel.put("High", label.new(f_adjust_label_position(bar_index, 0), TFhrdata.highTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Hi", style = label.style_label_left, size = size.normal, color = #00000000)),
lineDraw.rTFlabel.put("Low" , label.new(f_adjust_label_position(bar_index, 0), TFhrdata.lowTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Lo", style = label.style_label_left, size = size.normal, color = #00000000))
=> lineDraw.rTFlabel.get("High") .set_xy(time, TFhrdata.highTF),
lineDraw.rTFlabel.get("Low") .set_xy(time, TFhrdata.lowTF)
var r4hrbars = math.floor(timeframe.in_seconds("240") / timeframe.in_seconds(timeframe.period))
var rDbars = math.floor(timeframe.in_seconds("1D") / timeframe.in_seconds(timeframe.period))
= switch
timeframe.in_seconds() <= 60 => r4hrbars.tfDraw(show4hLab, "240", show4H)
=> tfDrawLower(show4hLab, "240", show4H)
= switch
timeframe.in_seconds() <= 60 => rDbars.tfDraw(show1DLab, "1D", show1D)
=> tfDrawLower(show1DLab, "1D", show1D)
// @function calculatePivots
// @param length Specifies the lookback length for high/low pivot calculations.
// @returns A tuple with top and bottom swing values.
calculatePivots(length)=>
var int intraCalc = 0
if bar_index > length + 1
up = highArr.slice(0, length).max()
dn = lowArr .slice(0, length).min()
cHi = highArr.get(length)
cLo = lowArr .get(length)
intraCalc := switch
cHi > up => 0
cLo < dn => 1
=> intraCalc
topSwing = switch
intraCalc == 0 and intraCalc != 0 => cHi
=> 0
botSwing = switch
intraCalc == 1 and intraCalc != 1 => cLo
=> 0
= calculatePivots(extSens)
= calculatePivots(intSens)
var label upLabel = array.new_label(1)
var label dnLabel = array.new_label(1)
var box highBlock = array.new_box()
var box lowBlock = array.new_box()
drawChar(x, y, str, col, down) =>
style = switch down
true => label.style_label_down
=> label.style_label_up
line.new (int(x), y, bar_index, y, color = col, style = line.style_dashed)
label.new(math.round(math.avg(x, bar_index)), y, str, color = #00000000, textcolor = col, style = style, size = size.small)
// @function drawStructureExt
// @returns Counter indicating the structure direction: 1 for bullish, -1 for bearish, 0 for neutral.
drawStructureExt() =>
var int counter = 0
if bigUpper != 0
bigData.put("upside", 1)
x1 = bar_index - extSens
txt = switch bigUpper > bigData.get("upaxis")
true => 'HH'
=> 'LH'
if showHHLH
upLabel.set(0, label.new(x1, bigUpper, txt,
color = color.new(color.white, 100),
textcolor = bearC,
style = label.style_label_down,
size = size.small
))
if showOB
highBlock.push(box.new(x1, bigUpper, last_bar_index + 5, bigUpper * .998, border_color = BearOBColor, bgcolor = BearOBColor))
bigData.put("upaxis" , bigUpper)
bigData.put("upaxis2", x1)
counter := 1
if bigLower != 0
bigData.put("downside", 1)
x1 = bar_index - extSens
txt = switch bigLower < bigData.get("dnaxis")
true => "LL"
=> "HL"
if showHLLL == true
dnLabel.set(0, label.new(x1, bigLower, txt, color = #ffffff00,
textcolor = bullC,
style = label.style_label_up,
size = size.small
))
if showOB
lowBlock.push(box.new(x1, bigLower, last_bar_index + 5, bigLower * 1.002, border_color = BullOBColor, bgcolor = BullOBColor))
//border_color = color.new(color.blue, 60),//75),
//bgcolor = color.new(color.blue, 70)//95)
//))
bigData.put("dnaxis" , bigLower)
bigData.put("dnaxis2", x1)
counter := -1
if showExt
if ta.crossover(close, bigData.get("upaxis"))
if bigData.get("upside") != 0
str = switch bigData.get("moving") < 0
true => extStru != "BoS" ? 'CHoCH' : ""
=> extStru != 'CHoCH' ? 'BoS' : ""
if extStru == "All" or str.contains(extStru, str)
drawChar(bigData.get("upaxis2"), bigData.get("upaxis"), str, bullC, true)
bigData.put("upside", 0)
bigData.put("moving", 1)
if ta.crossunder(close, bigData.get("dnaxis"))
if bigData.get("downside") != 0
str = switch bigData.get("moving") > 0
true => extStru != "BoS" ? 'CHoCH' : ""
=> extStru != 'CHoCH' ? 'BoS' : ""
if extStru == "All" or str.contains(extStru, str)
drawChar(bigData.get("dnaxis2"), bigData.get("dnaxis"), str, bearC, false)
bigData.put("downside", 0)
bigData.put("moving", -1)
counter
counter = drawStructureExt()
// @function updateBox
// @param id Array of boxes to update based on the bar index.
// @returns void
method updateBox(array id) =>
if id.size() > 0
for i = 0 to id.size() - 1
id.get(i).set_right(last_bar_index + 5)
method cleanseLevel(array id, bool isHighBlock) =>
if id.size() > 0
for i = id.size() - 1 to 0
condition = switch isHighBlock
true => close >= id.get(i).get_top()
=> close <= id.get(i).get_bottom()
if condition
id.remove(i).delete()
if id.size() > showLast and showLast != 0
for i = id.size() - showLast to 0
id.remove(i).delete()
highBlock.cleanseLevel(true)
lowBlock .cleanseLevel(false)
if barstate.islast
highBlock.updateBox()
lowBlock .updateBox()
// @function updateMain
// @param id Line object for updating based on price structure pivots.
// @returns void
// @description Updates the main line indicator to match the latest high/low price levels.
method updateMain(line id) =>
hi = 0.0
lo = 1e8
if showFibs
= calculatePivots(25)
var int counterFibs = 0
if bigUpperFibs != 0
counterFibs := 1
if bigLowerFibs != 0
counterFibs := -1
if counterFibs == 1
hi := 0.0
id.set_xy1(int(bigData.get("upaxis2")), bigData.get("upaxis"))
for i = 0 to bar_index - int(bigData.get("dnaxis2"))
getLow = lowArr.get(i)
lo := math.min(getLow, lo)
if lo == getLow
id.set_xy2(bar_index - i, lo)
else if counterFibs == -1
lo := 1e8
id.set_xy1(int(bigData.get("dnaxis2")), bigData.get("dnaxis"))
for i = 0 to bar_index - bigData.get("upaxis2")
getHigh = highArr.get(i)
hi := math.max(highArr.get(i), hi)
if hi == getHigh
id.set_xy2(bar_index - i, hi)
if id.get_x2() < id.get_x1()
x2 = id.get_x2(), x1 = id.get_x1()
y2 = id.get_y2(), y1 = id.get_y1(),
id.set_xy2(x1, y1),
id.set_xy1(x2, y2)
switch id.get_y2() < id.get_y1()
true => id.set_color(#F24968)
=> id.set_color(#14D990)
0
var main = line.new(dnLabel.first().get_x(), dnLabel.first().get_y(), upLabel.first().get_x(), upLabel.first().get_y(),
style = line.style_dashed,
width = 2
)
main.updateMain()
//-----------------------------------FIB----------------------------------------------------------
// @function quickLine
// @param getX2 The x-coordinate for the endpoint of the line.
// @param y The y-coordinate for the line’s position.
// @param color The color of the line to be drawn.
// @returns void
// @description Draws a horizontal line on the chart with specific attributes.
quickLine(getX2, y, color) =>
line.new(getX2, y, bar_index + 5, y, color = color.new(color, 50))
// @function quickLabel
// @param y The y-coordinate for the label’s position.
// @param txt Text content of the label.
// @param color The text color of the label.
// @returns void
// @description Places a label with given text and color at a specified y-coordinate.
quickLabel(y, txt, color) =>
label.new(bar_index + 5, y, text = str.tostring(txt), color = #00000000, style = label.style_label_left, textcolor = color)
// @function drawFibs
// @returns void
// @description Draws Fibonacci retracement levels based on recent price action.
drawFibs() =>
if barstate.islast
var fibLine = array.new(14)
var fibLab = array.new(14)
if fibLine.size() > 0
for i = 0 to fibLine.size() - 1
fibLine .get(i).delete()
fibLab .get(i).delete()
if showFibs
getY2 = main.get_y2(), sub = main.get_y1() - getY2,
getX1 = main.get_x1(), getX2 = main.get_x2()
for i = 0 to fibLine.size() - 1
mod = i % fibLine.size() - 1
= switch mod
0 =>
1 =>
2 =>
3 =>
4 =>
5 =>
6 =>
7 =>
8 =>
9 =>
10 =>
11 =>
12 =>
13 =>
fibLine.set(i, quickLine (getX2, y, col))
// Combine text level and price
priceLabel = str.tostring(y, "#.#####")
combinedText = txt + " (" + priceLabel + ")" // Prix entre parenthèses
fibLab.set(i, quickLabel(y, combinedText, col))
drawFibs()
// @function drawStructureInternals
// @returns void
// @description Draws internal structures for smaller price swings based on user-defined settings.
drawStructureInternals() =>
if showInt
var keyValues = map.new()
if keyValues.size() == 0
keyValues.put("movingSmall", 0)
if smallUpper != 0
keyValues.put("upsideSmall", 1)
keyValues.put("upaxisSmall", smallUpper)
keyValues.put("upaxis2Small", bar_index - intSens)
if smallLower != 0
keyValues.put("downsideSmall", 1)
keyValues.put("dnaxisSmall", smallLower)
keyValues.put("dnaxis2Small", bar_index - intSens)
if ta.crossover(close, keyValues.get("upaxisSmall"))
if keyValues.get("upsideSmall") != 0
str = switch
keyValues.get("movingSmall") < 0 => intStru != "BoS" ? 'I-CHoCH' : ""
=> intStru != "CHoCH" ? 'I-BoS' : ""
if intStru == "All" or str.contains(str, intStru)
drawChar(keyValues.get("upaxis2Small"), keyValues.get("upaxisSmall"), str, bullC, true)
keyValues.put("upsideSmall", 0)
keyValues.put("movingSmall", 1)
if ta.crossunder(close, keyValues.get("dnaxisSmall"))
if keyValues.get("downsideSmall") != 0
str = switch
keyValues.get("movingSmall") > 0 => intStru != "BoS" ? 'I-CHoCH' : ""
=> intStru != "CHoCH" ? 'I-BoS' : ""
if intStru == "All" or str.contains(str, intStru)
drawChar(keyValues.get("dnaxis2Small"), keyValues.get("dnaxisSmall"), str, bearC, false)
keyValues.put("downsideSmall", 0)
keyValues.put("movingSmall", -1)
drawStructureInternals()
// @function drawAOE
// @returns void
// @description Draws the Premium and Discount Zones on the chart based on recent highs and lows.
drawAOE() =>
atr = ta.atr(14)
if showAOE
if closeArr.size() > 50
aoi = closeArr.slice(0, 50)
aoi2 = openArr .slice(0, 50)
maxaoiH = math.max(aoi.max(), aoi2.max())
minaoiL = math.min(aoi.min(), aoi2.min())
var aoeLevels = map.new()
if aoeLevels.size() == 0
aoeLevels.put("High",
box.new(bar_index , maxaoiH * 1.01, bar_index + 5, maxaoiH,
border_color = #00000000,
bgcolor = color.new(#F24968, 90),
text = "Premium Zone", //"Area of Interest" ,
text_size = size.normal,//.small,
text_color = color.new(#F24968, 33)
))
aoeLevels.put("Low",
box.new(bar_index , minaoiL, bar_index + 5, minaoiL * .99,
border_color = #00000000,
bgcolor = color.new(#14D990, 90),
text = "Discount Zone", //"Area of Interest" ,
text_size = size.normal,//size.small,
text_color = color.new(#14D990, 33)
))
getHighBox = aoeLevels.get("High")
if close <= getHighBox.get_top() * 1.01
getHighBox.set_lefttop (bar_index , maxaoiH + atr)
getHighBox.set_rightbottom (bar_index + 5, maxaoiH)
getHighBox.set_text ("Premium Zone") //"Area of Interest")
else
getHighBox.set_lefttop (bar_index + 5, maxaoiH + atr)
getHighBox.set_rightbottom (bar_index + 5, maxaoiH + atr)
getHighBox.set_text ("")
getLowBox = aoeLevels.get("Low")
if close >= getLowBox.get_bottom() * .99
getLowBox.set_lefttop (bar_index , minaoiL)
getLowBox.set_rightbottom (bar_index + 5, minaoiL - atr)
getLowBox.set_text ("Discount Zone") //"Area of Interest")
else
getLowBox.set_lefttop (bar_index + 5, minaoiL)
getLowBox.set_rightbottom (bar_index + 5, - atr)
getLowBox.set_text ("")
drawAOE()
var table tab2 = table.new(position.top_right, 13, 13, bgcolor = #20222C, border_color = #363843, frame_color = #363843, border_width = 1, frame_width = 1)
nyHour = hour (timenow, "America/New_York")
nyMinute = minute(timenow, "America/New_York")
// @function fvg
// @param direction Determines the direction for fair value gap (FVG) detection: positive for up, negative for down.
// @returns An array of FVG boxes in the specified direction.
// @description Identifies fair value gaps (FVGs) and stores them in an array of boxes for visual representation.
fvg(direction) =>
var fvgMat = matrix.new(5), var fvgDrawings = array.new()
fvgMat.add_col(0, array.from(math.sign(close - open), close, high, low, time))
if fvgMat.columns() > 3
fvgMat.remove_col(fvgMat.columns() - 1)
if fvgMat.row(0).sum() == direction
getDir = math.sign(direction)
= switch getDir
-1 =>
=>
col = switch closeOnly
true => #00000000
=> color.new(fvgcol, fvgtra)
fvgDrawings.push(
box.new(int(fvgMat.get(4, 1)),y, last_bar_time, y1, xloc = xloc.bar_time,
border_color = col, bgcolor = col)
)
fvgDrawings
if showFVG
fvgDn = fvg(-3)
fvgUp = fvg(3)
if fvgDn.size() > 0
for i = fvgDn.size() - 1 to 0
getfvg = fvgDn.get(i)
if high >= getfvg.get_top()
getfvg.delete()
fvgDn.remove(i)
else if contract
if high > getfvg.get_bottom()
getfvg.set_bottom(high)
if fvgUp.size() > 0
for i = fvgUp.size() - 1 to 0
getfvg = fvgUp.get(i)
if low <= getfvg.get_bottom()
getfvg.delete()
fvgUp.remove(i)
else if contract
if low < getfvg.get_top()
getfvg.set_top(low)
if closeOnly and barstate.islast
minDist = matrix.new(1, 2, 20e20)
if fvgDn.size() > 0
for i = fvgDn.size() - 1 to 0
getBottom = fvgDn.get(i).get_bottom()
minDist.set(0, 1, math.min(minDist.get(0, 1), math.abs(close - getBottom)))
if math.abs(close - getBottom) == minDist.get(0, 1)
minDist.set(0, 0, i)
fvgDn.get(i).set_right(fvgDn.get(i).get_left())
fvgDn.get(int(minDist.get(0, 0))).set_bgcolor(color.new(fvgcol, fvgtra))
fvgDn.get(int(minDist.get(0, 0))).set_border_color(color.new(fvgcol, fvgtra))
fvgDn.get(int(minDist.get(0, 0))).set_right(last_bar_time)
minDist.set(0, 0, 0)
minDist.set(0, 1, 20e20)
if fvgUp.size() > 0
for i = fvgUp.size() - 1 to 0
getTop = fvgUp.get(i).get_top()
minDist.set(0, 1, math.min(minDist.get(0, 1), math.abs(close - getTop)))
if math.abs(close - getTop) == minDist.get(0, 1)
minDist.set(0, 0, i)
fvgUp.get(i).set_right(fvgUp.get(i).get_left())
fvgUp.get(int(minDist.get(0, 0))).set_bgcolor(color.new(fvgcol, fvgtra))
fvgUp.get(int(minDist.get(0, 0))).set_border_color(color.new(fvgcol, fvgtra))
fvgUp.get(int(minDist.get(0, 0))).set_right(last_bar_time)
// @function calculateTimeDifference
// @param timestamp1 The starting timestamp for time difference calculation.
// @param timestamp2 The ending timestamp for time difference calculation.
// @returns A tuple containing hours and minutes as integers.
// @description Calculates the time difference between two timestamps, outputting hours and minutes.
//calculateTimeDifference(timestamp1, timestamp2) =>
// timeDifference = timestamp2 - timestamp1
// hours = math.floor(timeDifference / 3600000)
// minutes = math.floor((timeDifference % 3600000) / 60000)
//
//dayAdjustment = (hour(timenow, "America/New_York") < 2) ? dayofmonth(timenow) + 1 : dayofmonth(timenow)
//dayAdjustment2 = nyHour >= 20 or nyHour < 2 ? dayofmonth(timenow) + 1 : dayofmonth(timenow)
// @function timeIsInRange
// @param startHour The start hour of the time range.
// @param startMinute The start minute of the time range.
// @param endHour The end hour of the time range.
// @param endMinute The end minute of the time range.
// @returns Boolean indicating if the current time is within the specified range.
// @description Checks if the current time falls within a specified range based on New York timezone.
//timeIsInRange(startHour, startMinute, endHour, endMinute) =>
// (nyHour > startHour or (nyHour == startHour and nyMinute >= startMinute)) and (nyHour < endHour or (nyHour == endHour and nyMinute <= endMinute))
// = switch
// timeIsInRange(9, 30, 16, 0) =>
// timeIsInRange(20, 0, 2 , 0) =>
// timeIsInRange(3, 0, 11, 30) =>
// =>
// = calculateTimeDifference(timenow, timetilchange)
//timetilchange2 = switch
// timeIsInRange(9, 30, 16, 0) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 20, 0, 0)
// timeIsInRange(20, 0, 2 , 0) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 3, 0, 0)
// timeIsInRange(3, 0, 11, 30) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 9, 30, 0)
// => na
//if na(timetilchange2)
// timetilchange2 := switch
// nyHour < 9 or (nyHour == 9 and nyMinute < 30) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 9, 30, 0)
// nyHour < 20 or (nyHour >= 16 and nyHour < 20) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 20, 0, 0)
// nyHour < 3 or (nyHour >= 2 and nyHour < 3) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 3, 0, 0)
// => na
// = calculateTimeDifference(timenow, timetilchange2)
//method getActivity(array id, float id2) =>
// if id.size() > 0
// volPerc1 = id.percentile_nearest_rank(10)
// volPerc2 = id.percentile_nearest_rank(33)
// volPerc3 = id.percentile_nearest_rank(50)
// volPerc4 = id.percentile_nearest_rank(66)
// volPerc5 = id.percentile_nearest_rank(90)
// log.warning(str.tostring(volPerc1) + " " + str.tostring(volPerc2) + " " + str.tostring(volPerc3) + " " + str.tostring(volPerc4) + " " + str.tostring(volPerc5))
// activity = switch
// id2 <= volPerc1 => "Very Low"
// id2 <= volPerc2 => "Low"
// id2 <= volPerc3 => "Average"
// id2 <= volPerc4 => "High"
// => "Very High"
// activity
//if barstate.islast
// hr4Act = vol4hrArr.getActivity(vol4hr)
// D1Act = vol1DArr .getActivity(vol1D)
// str = str.tostring(timetilchange)
// ch = str.substring(str, str.pos(str, ".") + 1, str.length(str))
// nu = str.tonumber(ch) * 6
// nu2 = str.substring(str.tostring(nu), 0, 2)
// table.cell(tab2, 0, 2, text = "Session:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 3, text = "Session Close:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 4, text = "Next Session:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 5, text = "Next Session Open:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 6, text = "4-Hr Volume:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 7, text = "24-Hr Volume:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 1, 2, text = stringCol , text_color = color.white)
// table.cell(tab2, 1, 3, text = stringCol != "Dead Zone" ? str.tostring(hours)+ "h" + str.tostring(minutes) + "m": "Dead Zone", text_color = color.white)
// table.cell(tab2, 1, 4, text =stringCol2, text_color = color.white)
// table.cell(tab2, 1, 5, text = str.tostring(hours2) + "h:" + str.tostring(minutes2) + "m", text_color = color.white)
// table.cell(tab2, 1, 6, text = hr4Act, text_color = color.white)
// table.cell(tab2, 1, 7, text = D1Act, text_color = color.white)
nyHour2 = hour (time, "America/New_York")
nyMinute2 = minute(time, "America/New_York")
// @function timeIsInRange2
// @param startHour The starting hour for checking the time range.
// @param startMinute The starting minute within the hour.
// @param endHour The ending hour for checking the time range.
// @param endMinute The ending minute within the hour.
// @returns Boolean indicating if the current time is within the specified range.
// @description Checks if the current chart time falls within a specified time range.
timeIsInRange2(startHour, startMinute, endHour, endMinute) =>
if endHour >= startHour
(nyHour2 > startHour or (nyHour2 == startHour and nyMinute2 >= startMinute)) and
(nyHour2 < endHour or (nyHour2 == endHour and nyMinute2 <= endMinute))
else
(nyHour2 > startHour or (nyHour2 == startHour and nyMinute2 >= startMinute)) or
(nyHour2 < endHour or (nyHour2 == endHour and nyMinute2 <= endMinute))
nyCol = input.color(defval = #f24968, title = "NY Color")
asCol = input.color(defval = #14D990, title = "Asia Color")
loCol = input.color(defval = #F2B807, title = "London Color")
tra = input.int(defval = 98, minval = 0, maxval = 100, title = "Transparency")
bgcolor(timeIsInRange2(9, 30, 16, 0) ? color.new(nyCol, tra) : na)
bgcolor(timeIsInRange2(20, 0, 2 , 0) ? color.new(asCol, tra) : na)
bgcolor(timeIsInRange2(3, 0, 11, 30) ? color.new(loCol, tra) : na)
//---------------------------------------Entry/Exit-------------------------------------------------------
// "Entry/Exit signal"
Entry_exit_ena = input.bool(defval = true, title = "Entry/Exit Signal" ,group = "Entry/exit Signal")
a = input.float(1.5, title="Key Value. 'This changes the sensitivity'", group = "Entry/exit Signal")
c = input.int(7, title="ATR Period", group = "Entry/exit Signal")
ma_length = input.int(50, minval=1, title="Période de la Moyenne Mobile", group = "Entry/exit Signal")
Trail_Stop_ENA = input.bool(defval = true, title = "Trail Stop" ,group = "Entry/exit Signal")
Trail_stop_col = input.color(title = "Trailing stop color", defval = color.yellow, group = "Entry/exit Signal")
//if Entry_exit_ena
// Paramètres de la Moyenne Mobile (Filtre de Tendance)
// Calculs de base
xATR = ta.atr(c)
nLoss = a * xATR
src = close
// Calcul de l'UT BOT Trailing Stop
var float xATRTrailingStop = 0.0
xATRTrailingStop := if src > nz(xATRTrailingStop ) and src > nz(xATRTrailingStop )
math.max(nz(xATRTrailingStop ), src - nLoss)
else if src < nz(xATRTrailingStop ) and src < nz(xATRTrailingStop )
math.min(nz(xATRTrailingStop ), src + nLoss)
else if src > nz(xATRTrailingStop )
src - nLoss
else
src + nLoss
// Calcul de la Moyenne Mobile
ma = ta.ema(close, ma_length)
// Condition de tendance
is_uptrend = close > ma
is_downtrend = close < ma
// Signaux d'achat et de vente selon le trend
buy = ta.crossover(src, xATRTrailingStop) and is_uptrend
sell = ta.crossunder(src, xATRTrailingStop) and is_downtrend
// Tracé de l'UT BOT Trailing Stop
plot(Trail_Stop_ENA ? xATRTrailingStop : na, color=buy ? color.green : sell ? color.red : Trail_stop_col, linewidth=2, title="Trailing Stop Style")
// Indication des signaux sur le graphique
if buy and Entry_exit_ena
label.new(bar_index, low, text='Buy', style=label.style_label_up, yloc=yloc.belowbar ,color=color.green, textcolor=color.white, size=size.small)
if sell and Entry_exit_ena
label.new(bar_index, high, text='Sell', style=label.style_label_down, yloc=yloc.abovebar, color=color.red, textcolor=color.white, size=size.small)
alertcondition(buy, "Buy/Long", "Buy Long")
alertcondition(sell, "Sell/Short", "Sell/Short")
// ----------------------------------------Trend table-----------------------------------------------
// Paramètres utilisateur
afficher_tableau = input.bool(true, "Afficher le tableau", group="Trend Table")
periode_ema = input.int(200, minval=1, title="Période EMA pour les tendances", group="Trend Table")
periode_ema_btc = input.int(200, minval=1, title="Période EMA pour la tendance BTC", group="Trend Table")
// Configuration des périodes de tendance avec un menu déroulant lisible
periode1 = input.string("15m", "Période de tendance 1", options= , group="Trend Table")
periode2 = input.string("1h", "Période de tendance 2", options= , group="Trend Table")
periode3 = input.string("4h", "Période de tendance 3", options= , group="Trend Table")
periode4 = input.string("Day", "Période de tendance 4", options= , group="Trend Table")
// Période de tendance pour le BTC
btc_periode_tendance = input.string("4h", "Période de tendance BTC", options= , group="Trend Table")
// Couleurs pour les tendances
color_haussier = color.green
color_baissier = color.red
// Couleurs de fond alternées pour les lignes (définies globalement)
bg_color_odd = color.new(color.gray, 90) // Gris très clair pour les lignes impaires
bg_color_even = color.new(color.gray, 70) // Gris clair pour les lignes paires
// Fonction de mapping des périodes lisibles en valeurs temporelles standard
f_mapper_periode(timeframe_lisible) =>
switch timeframe_lisible
"5m" => "5"
"15m" => "15"
"1h" => "60"
"4h" => "240"
"8h" => "480"
"12h" => "720"
"Day" => "D"
=> timeframe_lisible // Cas par défaut si aucune correspondance n'est trouvée
// Mapper les périodes sélectionnées
periode1_mapped = f_mapper_periode(periode1)
periode2_mapped = f_mapper_periode(periode2)
periode3_mapped = f_mapper_periode(periode3)
periode4_mapped = f_mapper_periode(periode4)
btc_periode_tendance_mapped = f_mapper_periode(btc_periode_tendance)
// Fonction pour déterminer la session actuelle en utilisant l'heure du graphique (UTC-5)
f_session_actuelle() =>
heure = hour(time)
minute_ = minute(time)
heure_mod = heure * 60 + minute_
sessions_actives = ""
// Définir les plages horaires des sessions en UTC-5
// Session Asie (19:00 - 04:00)
if (heure_mod >= (19 * 60) or heure_mod < (4 * 60))
sessions_actives := sessions_actives + "Asie, "
// Session Londres (03:00 - 12:00)
if (heure_mod >= (3 * 60) and heure_mod < (12 * 60))
sessions_actives := sessions_actives + "Londres, "
// Session New York (08:00 - 17:00)
if (heure_mod >= (8 * 60) and heure_mod < (17 * 60))
sessions_actives := sessions_actives + "NY, "
// Nettoyer la chaîne de caractères pour enlever la virgule finale
if (str.endswith(sessions_actives, ", "))
sessions_actives := str.substring(sessions_actives, 0, str.length(sessions_actives) - 2)
// Si aucune session n'est active
sessions_actives := sessions_actives == "" ? "Hors session" : sessions_actives
sessions_actives
session_actuelle = f_session_actuelle()
// Fonction pour calculer la tendance basée sur l'EMA sans lookahead
f_tendance(symbole, timeframe_tendance, periode_ema) =>
= request.security(symbole, timeframe_tendance, , barmerge.gaps_off, barmerge.lookahead_off)
tendance = cours > ema_valeur ? "Haussier" : "Baissier"
tendance
// Calcul de la tendance du BTC
tendance_btc = f_tendance("BINANCE:BTCUSDT", btc_periode_tendance_mapped, periode_ema_btc)
// Calcul des tendances pour les périodes spécifiées
tendance_periode1 = f_tendance(syminfo.tickerid, periode1_mapped, periode_ema)
tendance_periode2 = f_tendance(syminfo.tickerid, periode2_mapped, periode_ema)
tendance_periode3 = f_tendance(syminfo.tickerid, periode3_mapped, periode_ema)
tendance_periode4 = f_tendance(syminfo.tickerid, periode4_mapped, periode_ema)
// Fonction pour obtenir le nom du ticker actuel
f_ticker_actuel() =>
syminfo.ticker
// Obtenir le ticker actuel
ticker_actuel = f_ticker_actuel()
// Affichage du tableau
if afficher_tableau
// Création du tableau
var table mon_tableau = table.new(position=position.top_right, columns=2, rows=7, bgcolor=color.new(color.black, 0), frame_color=color.new(color.gray, 0), frame_width=1)
if barstate.isfirst
// Première colonne (libellés)
table.cell(table_id=mon_tableau, row=0, column=0, text="Session actuelle:", text_color=color.white, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=1, column=0, text="Tendance:", text_color=color.white, bgcolor=bg_color_odd, text_halign=text.align_right)
table.cell(table_id=mon_tableau, row=6, column=0, text="BTC (" + btc_periode_tendance + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=2, column=0, text= ticker_actuel + " (" + periode1 + "):", text_color=color.white, bgcolor=bg_color_odd)
table.cell(table_id=mon_tableau, row=3, column=0, text="(" + periode2 + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=4, column=0, text="(" + periode3 + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_odd)
table.cell(table_id=mon_tableau, row=5, column=0, text="(" + periode4 + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_even)
// Définir les couleurs de fond pour les cellules de tendance
trend_btc_color = tendance_btc == "Haussier" ? color.green : color.red
trend_periode1_color = tendance_periode1 == "Haussier" ? color.green : color.red
trend_periode2_color = tendance_periode2 == "Haussier" ? color.green : color.red
trend_periode3_color = tendance_periode3 == "Haussier" ? color.green : color.red
trend_periode4_color = tendance_periode4 == "Haussier" ? color.green : color.red
// Mise à jour des valeurs avec les couleurs appropriées
table.cell(table_id=mon_tableau, row=0, column=1, text=session_actuelle, text_color=color.yellow, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=1, column=1, text="", bgcolor=bg_color_odd)
table.cell(table_id=mon_tableau, row=6, column=1, text=tendance_btc, text_color=color.white, bgcolor=trend_btc_color)
table.cell(table_id=mon_tableau, row=2, column=1, text=tendance_periode1, text_color=color.white, bgcolor=trend_periode1_color)
table.cell(table_id=mon_tableau, row=3, column=1, text=tendance_periode2, text_color=color.white, bgcolor=trend_periode2_color)
table.cell(table_id=mon_tableau, row=4, column=1, text=tendance_periode3, text_color=color.white, bgcolor=trend_periode3_color)
table.cell(table_id=mon_tableau, row=5, column=1, text=tendance_periode4, text_color=color.white, bgcolor=trend_periode4_color)
// Optionnel : Ajouter une étiquette de débogage pour vérifier la session actuelle
// label.new(bar_index, high, text="Session: " + session_actuelle, style=label.style_label_down, color=color.blue, textcolor=color.white, size=size.small, yloc=yloc.abovebar)
PHAI GIAU NHAT VN)
positive and negative are recreated each bar using nz(... ) to keep the old value if no new signal is present.
The line p_mom ? true : nz(positive , false) ensures the variable keeps the correct state across bars.
Clearly displays "UP" and "DOWN" signals.
CryptoQuebec Suite// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// Crypto Quebec & StefB.
//@version=6
indicator("CryptoQuebec Suite", overlay = true, max_labels_count = 500, max_lines_count = 500, max_boxes_count = 500, max_bars_back = 500)
//strategy("UT BOT Amélioré pour le Day Trading Crypto", overlay=true, initial_capital=1000, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// Version 2.0 order block ajustable colors
// Version 2.1 draw swing High/low
// Version 2.2 Changed the wording of "Area of interest" for "Premium Zone" and "Discount Zone"
// Version 2.3 Added the price to the auto fib levels.
// Version 2.4 Correction. Added 3 digits after the dot of the auto fib. This was lost when the price has been added.
// Version 2.4.01 Added few fib levels. (0, -0.272, -0.414, -0.618).
// Version 2.4.02 Added few fib levels. (1, 1.272, 1.414, 1.618).
// Version 2.4.03 Made a small change in the label of 240L, 240H, DL and DH. Change 240 for 4h and H/L for Lo/Hi
// Version 2.4.04 Added digits after the dot for more price precision into the Fib levels.
// Version 2.4.05 Added Entry long/short indicator base on EMA. Also added the trailing stop line.
// Version 2.4.06 Added Trail Stop enable/disable option. Moved the Buy/Sell label farther from the candles.
// Version 2.4.07 Added Trend info table with active trading session
// Version 2.4.08 Small adjustment in the trend table and FIB lines more visible.
// Version 2.4.09 Changed the indicator name for CryptoQuebe Suite.
//---------------------------------------------------------------------------------------------------------------------
//CONSTANTS & STRINGS & INPUTS
//---------------------------------------------------------------------------------------------------------------------
BULLISH = +1
BEARISH = -1
showHighLowSwingsTooltip = 'Highlight most recent strong and weak high/low points on the chart'
bullC = input.color(defval = #14D990, title = "Bull Color", group = "Smart Money Concepts", inline = "7")
bearC = input.color(defval = #F24968, title = "Bear Color", group = "Smart Money Concepts", inline = "7")
showInt = input.bool(defval = true, title = "Show Internals", group = "Smart Money Concepts")
intSens = input.int(3, "Internals Sensitivity", options = , group = "Smart Money Concepts", inline = "20")
intStru = input.string(defval = "All", title = "Internal Structure", options = , inline = "30", group = "Smart Money Concepts")
showExt = input.bool(defval = true, title = "Show Externals" ,group = "Smart Money Concepts")
extSens = input.int(25, "Externals Sensitivity", options = ,group = "Smart Money Concepts", inline = "21")
extStru = input.string(defval = "All", title = "External Structure", options = , inline = "31", group = "Smart Money Concepts")
showOB = input.bool(defval = true, title = "Show Order Blocks" ,group = "Swing Blocks")
//----------------------------------------------
//showHighLowSwingsInput = input(true, 'Show Strong/Weak High/Low', group = "Smart Money Concepts", tooltip = showHighLowSwingsTooltip)
BullOBColor = input.color(color.new(#3179f5, 80), 'Internal Bullish OB',group = "Swing Blocks")
BearOBColor = input.color(color.new(#f77c80, 80), 'Internal Bearish OB',group = "Swing Blocks")
//---------------------------------------------------------------------------
showLast = input.int(defval = 10, title = "Swing Order Blocks", minval = 0, group = "Swing Blocks")
showHHLH = input.bool(defval = true, title = "Show HH/LH", group = "Swing Blocks")
showHLLL = input.bool(defval = true, title = "Show LH/LL", group = "Swing Blocks")
showAOE = input.bool(defval = true, title = "Show Premium/Discount", group = "Swing Blocks")
//showAOE = input.bool(defval = true, title = "Show Area of Interest", group = "Swing Blocks")
show1D = input.bool(defval = true, title = "Show Previous Day High", group = "High/Low")
show1DLab = input.bool(defval = true, title = "Show 1 Day Labels", group = "High/Low")
show4H = input.bool(defval = true, title = "Show 4 Hour High", group = "High/Low")
show4hLab = input.bool(defval = true, title = "Show 4 Hour Labels", group = "High/Low")
showFVG = input.bool(defval = true, title = "Show Fair Value Gaps", group = "FVG")
contract = input.bool(defval = false, title = "Contract Violated FVG", group = "FVG")
closeOnly = input.bool(defval = false, title = "Show Closest Up/Down FVG Only", group = "FVG")
fvgcol = input.color(defval = #F2B807, title = "FVG Color", group = "FVG")
fvgtra = input.int(defval = 80, minval = 0, maxval = 100, title = "FVG Transparency", group = "FVG")
showFibs = input.bool(defval = true, title = "Show Auto Fibs", group = "Auto Fibs")
// extSensFibs = input.int(25, "Fibs Sensitivity", options = , group = "Auto Fibs", inline = "22")
show0_618 = input.bool(defval = true, title = "", inline = "1", group = "Auto Fibs")
show0_414 = input.bool(defval = true, title = "", inline = "2", group = "Auto Fibs")
show0_272 = input.bool(defval = true, title = "", inline = "3", group = "Auto Fibs")
show0 = input.bool(defval = true, title = "", inline = "4", group = "Auto Fibs")
show236 = input.bool(defval = true, title = "", inline = "5", group = "Auto Fibs")
show382 = input.bool(defval = true, title = "", inline = "6", group = "Auto Fibs")
show5 = input.bool(defval = true, title = "", inline = "7", group = "Auto Fibs")
show618 = input.bool(defval = true, title = "", inline = "8", group = "Auto Fibs")
show65 = input.bool(defval = true, title = "", inline = "9", group = "Auto Fibs")
show786 = input.bool(defval = true, title = "", inline = "10", group = "Auto Fibs")
show1 = input.bool(defval = true, title = "", inline = "11", group = "Auto Fibs")
show1_272 = input.bool(defval = true, title = "", inline = "12", group = "Auto Fibs")
show1_414 = input.bool(defval = true, title = "", inline = "13", group = "Auto Fibs")
show1_618 = input.bool(defval = true, title = "", inline = "14", group = "Auto Fibs")
fib1 = input.float(defval = -0.618, title = "", minval = -0.618, step = 0.01, inline = "1", group = "Auto Fibs")
fib2 = input.float(defval = -0.414, title = "", minval = -0.618, step = 0.01, inline = "2", group = "Auto Fibs")
fib3 = input.float(defval = -0.272, title = "", minval = -0.618, step = 0.01, inline = "3", group = "Auto Fibs")
fib4 = input.float(defval = 0, title = "", minval = 0, step = 0.01, inline = "4", group = "Auto Fibs")
fib5 = input.float(defval = .236, title = "", minval = 0, step = 0.01, inline = "5", group = "Auto Fibs")
fib6 = input.float(defval = .382, title = "", minval = 0, step = 0.01, inline = "6", group = "Auto Fibs")
fib7 = input.float(defval = .5, title = "", minval = 0, step = 0.01, inline = "7", group = "Auto Fibs")
fib8 = input.float(defval = .618, title = "", minval = 0, step = 0.01, inline = "8", group = "Auto Fibs")
fib9 = input.float(defval = .65, title = "", minval = 0, step = 0.01, inline = "9", group = "Auto Fibs")
fib10 = input.float(defval = .786, title = "", minval = 0, step = 0.01, inline = "10", group = "Auto Fibs")
fib11 = input.float(defval = 1, title = "", minval = 0, step = 0.01, inline = "11", group = "Auto Fibs")
fib12 = input.float(defval = 1.272, title = "", minval = 0, step = 0.01, inline = "12", group = "Auto Fibs")
fib13 = input.float(defval = 1.414, title = "", minval = 0, step = 0.01, inline = "13", group = "Auto Fibs")
fib14 = input.float(defval = 1.618, title = "", minval = 0, step = 0.01, inline = "14", group = "Auto Fibs")
fib1col = input.color(title = "", defval = color.orange, inline = "1", group = "Auto Fibs")
fib2col = input.color(title = "", defval = color.orange, inline = "2", group = "Auto Fibs")
fib3col = input.color(title = "", defval = color.orange, inline = "3", group = "Auto Fibs")
fib4col = input.color(title = "", defval = color.gray, inline = "4", group = "Auto Fibs")
fib5col = input.color(title = "", defval = color.white, inline = "5", group = "Auto Fibs")
fib6col = input.color(title = "", defval = color.white, inline = "6", group = "Auto Fibs")
fib7col = input.color(title = "", defval = color.red, inline = "7", group = "Auto Fibs")
fib8col = input.color(title = "", defval = color.green, inline = "8", group = "Auto Fibs")
fib9col = input.color(title = "", defval = color.green, inline = "9", group = "Auto Fibs")
fib10col = input.color(title = "", defval = color.white, inline = "10", group = "Auto Fibs")
fib11col = input.color(title = "", defval = color.gray, inline = "11", group = "Auto Fibs")
fib12col = input.color(title = "", defval = color.orange, inline = "12", group = "Auto Fibs")
fib13col = input.color(title = "", defval = color.orange, inline = "13", group = "Auto Fibs")
fib14col = input.color(title = "", defval = color.orange, inline = "14", group = "Auto Fibs")
//---------------------------------------------------------------------------------------------------------------------
//DATA STRUCTURES & VARIABLES
//---------------------------------------------------------------------------------------------------------------------
// @type UDT representing last swing extremes (top & bottom)
// @field top last top swing price
// @field bottom last bottom swing price
// @field barTime last swing bar time
// @field barIndex last swing bar index
// @field lastTopTime last top swing time
// @field lastBottomTime last bottom swing time
type trailingExtremes
float top
float bottom
int barTime
int barIndex
int lastTopTime
int lastBottomTime
// @type UDT representing trend bias
// @field bias BULLISH or BEARISH
type trend
int bias
var bigData = map.new()
// @variable swing trend bias
var trend swingTrend = trend.new(0)
// @variable last trailing swing high and low
var trailingExtremes trailing = trailingExtremes.new()
// @variable color for swing bullish structures
var swingBullishColor = color.green //styleInput == MONOCHROME ? MONO_BULLISH : swingBullColorInput
// @variable color for swing bearish structures
var swingBearishColor = color.red //styleInput == MONOCHROME ? MONO_BEARISH : swingBearColorInput
if bigData.size() == 0
bigData.put("moving", 0)
bigData.put("upaxis", 0.0)
bigData.put("upaxis2", 0)
bigData.put("dnaxis", 0.0)
bigData.put("dnaxis2", 0)
bigData.put("upside", 1)
bigData.put("downside", 1)
= request.security(syminfo.tickerid, "1D", [high , low , high, low, time , time])
var highArr = array.new_float(), var lowArr = array.new_float()
var timeArr = array.new_int (), var volArr = array.new_float()
var closeArr = array.new_float(), var openArr = array.new_float()
highArr.unshift(high), lowArr.unshift(low)
timeArr.unshift(time), volArr.unshift(volume)
closeArr.unshift(close), openArr.unshift(open)
type rollingTF
float highTF = 0
float lowTF = 1e8
int highTFt = 0
int lowTFt = 0
float volTF = 0
map rTFdraw
map rTFlabel
// Convert time period in text
f_convert_tf_to_text(tf) =>
tf == "240" ? "H4" : tf == "1D" ? "D" : tf == "60" ? "1h" : tf == "15" ? "15m" : tf
// Create the labels fo each level
offset = 10 // Ajustez cette valeur selon le décalage souhaité
// Ajust the label position in case of overide
f_adjust_label_position(x, offset) =>
x + offset
// @function tfDraw
// @param tfDiff Specifies the timeframe difference for the high/low calculations.
// @param showRollingLab Indicates whether to display rolling labels for timeframes.
// @param tf Specifies the timeframe as a string.
// @param showLevels Determines if the high/low levels for the timeframe should be shown.
// @returns A tuple with the total volume (TFhrdata.volTF) and the rolling volume array (volRolling).
method tfDraw(int tfDiff, bool showRollingLab, string tf, bool showLevels) =>
TFhrdata = rollingTF.new(), var volRolling = array.new()
if highArr.size() > tfDiff
for i = 0 to tfDiff
if showLevels and barstate.islast
getHigh = highArr.get(i), getLow = lowArr.get(i),
getTime = timeArr.get(i)
TFhrdata.highTF := math.max(TFhrdata.highTF, getHigh)
TFhrdata.lowTF := math.min(TFhrdata.lowTF , getLow )
if TFhrdata.highTF == getHigh
TFhrdata.highTFt := timeArr.get(i)
if TFhrdata.lowTF == getLow
TFhrdata.lowTFt := timeArr.get(i)
TFhrdata.volTF += volArr.get(i)
volRolling.push(TFhrdata.volTF)
var lineDraw = rollingTF.new(rTFdraw = map.new(), rTFlabel = map.new())
if showLevels
switch lineDraw.rTFdraw.size() == 0
true => lineDraw.rTFdraw.put("High", line.new(TFhrdata.highTFt, TFhrdata.highTF, time, TFhrdata.highTF,
xloc = xloc.bar_time, color = color.aqua)),
lineDraw.rTFdraw.put("Low" , line.new(TFhrdata.lowTFt , TFhrdata.lowTF , time, TFhrdata.lowTF ,
xloc = xloc.bar_time, color = color.aqua))
=> lineDraw.rTFdraw.get("High").set_xy1(TFhrdata.highTFt, TFhrdata.highTF),
lineDraw.rTFdraw.get("High").set_xy2(time, TFhrdata.highTF),
lineDraw.rTFdraw.get("Low").set_xy1(TFhrdata.lowTFt, TFhrdata.lowTF),
lineDraw.rTFdraw.get("Low").set_xy2(time, TFhrdata.lowTF)
if showRollingLab
switch lineDraw.rTFlabel.size() == 0
true => lineDraw.rTFlabel.put("High", label.new(f_adjust_label_position(bar_index, offset), TFhrdata.highTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Hi", style = label.style_label_left, size = size.normal, color = #00000000)),
lineDraw.rTFlabel.put("Low", label.new(f_adjust_label_position(bar_index, offset), TFhrdata.lowTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Lo", style = label.style_label_left, size = size.normal, color = #00000000))
=> lineDraw.rTFlabel.get("High") .set_xy(time, TFhrdata.highTF),
lineDraw.rTFlabel.get("Low") .set_xy(time, TFhrdata.lowTF)
// @function tfDrawLower
// @param showRollingLab Indicates whether to display rolling labels for lower timeframes.
// @param tf Specifies the lower timeframe as a string.
// @param showLevels Determines if the high/low levels for the lower timeframe should be shown.
// @returns (volume and volume array)
tfDrawLower(bool showRollingLab, simple string tf, bool showLevels) =>
simple int end = switch tf
"240" => 240
"1D" => 1440
= request.security_lower_tf(syminfo.tickerid, "1", )
var oArr = array.new_float()
var hArr = array.new_float()
var lArr = array.new_float()
var cArr = array.new_float()
var vArr = array.new_float()
var tArr = array.new_int()
TFhrdata = rollingTF.new(), var volRolling = array.new()
if h.size() > 0
for i = 0 to h.size() - 1
oArr.push(o.get(i))
hArr.push(h.get(i))
lArr.push(l.get(i))
cArr.push(c.get(i))
vArr.push(v.get(i))
tArr.push(t.get(i))
if hArr.size() > end
oArr.shift()
hArr.shift()
lArr.shift()
cArr.shift()
vArr.shift()
tArr.shift()
for i = 0 to hArr.size() - 1
if showLevels
getHigh = hArr.get(i), getLow = lArr.get(i),
getTime = tArr.get(i)
TFhrdata.highTF := math.max(TFhrdata.highTF, getHigh)
TFhrdata.lowTF := math.min(TFhrdata.lowTF , getLow)
if TFhrdata.highTF == getHigh
TFhrdata.highTFt := tArr.get(i)
if TFhrdata.lowTF == getLow
TFhrdata.lowTFt := tArr.get(i)
TFhrdata.volTF += vArr.get(i)
volRolling.push(TFhrdata.volTF)
var lineDraw = rollingTF.new(rTFdraw = map.new(), rTFlabel = map.new())
if showLevels
switch lineDraw.rTFdraw.size() == 0
true => lineDraw.rTFdraw.put("High", line.new(TFhrdata.highTFt, TFhrdata.highTF, time, TFhrdata.highTF,
xloc = xloc.bar_time, color = color.aqua)),
lineDraw.rTFdraw.put("Low" , line.new(TFhrdata.lowTFt , TFhrdata.lowTF , time, TFhrdata.lowTF ,
xloc = xloc.bar_time, color = color.aqua))
=> lineDraw.rTFdraw.get("High").set_xy1(TFhrdata.highTFt, TFhrdata.highTF),
lineDraw.rTFdraw.get("High").set_xy2(time, TFhrdata.highTF),
lineDraw.rTFdraw.get("Low").set_xy1(TFhrdata.lowTFt, TFhrdata.lowTF),
lineDraw.rTFdraw.get("Low").set_xy2(time, TFhrdata.lowTF)
if showRollingLab
switch lineDraw.rTFlabel.size() == 0
true => lineDraw.rTFlabel.put("High", label.new(f_adjust_label_position(bar_index, 0), TFhrdata.highTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Hi", style = label.style_label_left, size = size.normal, color = #00000000)),
lineDraw.rTFlabel.put("Low" , label.new(f_adjust_label_position(bar_index, 0), TFhrdata.lowTF, xloc = xloc.bar_time, textcolor = color.aqua, text = f_convert_tf_to_text(tf) + " Lo", style = label.style_label_left, size = size.normal, color = #00000000))
=> lineDraw.rTFlabel.get("High") .set_xy(time, TFhrdata.highTF),
lineDraw.rTFlabel.get("Low") .set_xy(time, TFhrdata.lowTF)
var r4hrbars = math.floor(timeframe.in_seconds("240") / timeframe.in_seconds(timeframe.period))
var rDbars = math.floor(timeframe.in_seconds("1D") / timeframe.in_seconds(timeframe.period))
= switch
timeframe.in_seconds() <= 60 => r4hrbars.tfDraw(show4hLab, "240", show4H)
=> tfDrawLower(show4hLab, "240", show4H)
= switch
timeframe.in_seconds() <= 60 => rDbars.tfDraw(show1DLab, "1D", show1D)
=> tfDrawLower(show1DLab, "1D", show1D)
// @function calculatePivots
// @param length Specifies the lookback length for high/low pivot calculations.
// @returns A tuple with top and bottom swing values.
calculatePivots(length)=>
var int intraCalc = 0
if bar_index > length + 1
up = highArr.slice(0, length).max()
dn = lowArr .slice(0, length).min()
cHi = highArr.get(length)
cLo = lowArr .get(length)
intraCalc := switch
cHi > up => 0
cLo < dn => 1
=> intraCalc
topSwing = switch
intraCalc == 0 and intraCalc != 0 => cHi
=> 0
botSwing = switch
intraCalc == 1 and intraCalc != 1 => cLo
=> 0
= calculatePivots(extSens)
= calculatePivots(intSens)
var label upLabel = array.new_label(1)
var label dnLabel = array.new_label(1)
var box highBlock = array.new_box()
var box lowBlock = array.new_box()
drawChar(x, y, str, col, down) =>
style = switch down
true => label.style_label_down
=> label.style_label_up
line.new (int(x), y, bar_index, y, color = col, style = line.style_dashed)
label.new(math.round(math.avg(x, bar_index)), y, str, color = #00000000, textcolor = col, style = style, size = size.small)
// @function drawStructureExt
// @returns Counter indicating the structure direction: 1 for bullish, -1 for bearish, 0 for neutral.
drawStructureExt() =>
var int counter = 0
if bigUpper != 0
bigData.put("upside", 1)
x1 = bar_index - extSens
txt = switch bigUpper > bigData.get("upaxis")
true => 'HH'
=> 'LH'
if showHHLH
upLabel.set(0, label.new(x1, bigUpper, txt,
color = color.new(color.white, 100),
textcolor = bearC,
style = label.style_label_down,
size = size.small
))
if showOB
highBlock.push(box.new(x1, bigUpper, last_bar_index + 5, bigUpper * .998, border_color = BearOBColor, bgcolor = BearOBColor))
bigData.put("upaxis" , bigUpper)
bigData.put("upaxis2", x1)
counter := 1
if bigLower != 0
bigData.put("downside", 1)
x1 = bar_index - extSens
txt = switch bigLower < bigData.get("dnaxis")
true => "LL"
=> "HL"
if showHLLL == true
dnLabel.set(0, label.new(x1, bigLower, txt, color = #ffffff00,
textcolor = bullC,
style = label.style_label_up,
size = size.small
))
if showOB
lowBlock.push(box.new(x1, bigLower, last_bar_index + 5, bigLower * 1.002, border_color = BullOBColor, bgcolor = BullOBColor))
//border_color = color.new(color.blue, 60),//75),
//bgcolor = color.new(color.blue, 70)//95)
//))
bigData.put("dnaxis" , bigLower)
bigData.put("dnaxis2", x1)
counter := -1
if showExt
if ta.crossover(close, bigData.get("upaxis"))
if bigData.get("upside") != 0
str = switch bigData.get("moving") < 0
true => extStru != "BoS" ? 'CHoCH' : ""
=> extStru != 'CHoCH' ? 'BoS' : ""
if extStru == "All" or str.contains(extStru, str)
drawChar(bigData.get("upaxis2"), bigData.get("upaxis"), str, bullC, true)
bigData.put("upside", 0)
bigData.put("moving", 1)
if ta.crossunder(close, bigData.get("dnaxis"))
if bigData.get("downside") != 0
str = switch bigData.get("moving") > 0
true => extStru != "BoS" ? 'CHoCH' : ""
=> extStru != 'CHoCH' ? 'BoS' : ""
if extStru == "All" or str.contains(extStru, str)
drawChar(bigData.get("dnaxis2"), bigData.get("dnaxis"), str, bearC, false)
bigData.put("downside", 0)
bigData.put("moving", -1)
counter
counter = drawStructureExt()
// @function updateBox
// @param id Array of boxes to update based on the bar index.
// @returns void
method updateBox(array id) =>
if id.size() > 0
for i = 0 to id.size() - 1
id.get(i).set_right(last_bar_index + 5)
method cleanseLevel(array id, bool isHighBlock) =>
if id.size() > 0
for i = id.size() - 1 to 0
condition = switch isHighBlock
true => close >= id.get(i).get_top()
=> close <= id.get(i).get_bottom()
if condition
id.remove(i).delete()
if id.size() > showLast and showLast != 0
for i = id.size() - showLast to 0
id.remove(i).delete()
highBlock.cleanseLevel(true)
lowBlock .cleanseLevel(false)
if barstate.islast
highBlock.updateBox()
lowBlock .updateBox()
// @function updateMain
// @param id Line object for updating based on price structure pivots.
// @returns void
// @description Updates the main line indicator to match the latest high/low price levels.
method updateMain(line id) =>
hi = 0.0
lo = 1e8
if showFibs
= calculatePivots(25)
var int counterFibs = 0
if bigUpperFibs != 0
counterFibs := 1
if bigLowerFibs != 0
counterFibs := -1
if counterFibs == 1
hi := 0.0
id.set_xy1(int(bigData.get("upaxis2")), bigData.get("upaxis"))
for i = 0 to bar_index - int(bigData.get("dnaxis2"))
getLow = lowArr.get(i)
lo := math.min(getLow, lo)
if lo == getLow
id.set_xy2(bar_index - i, lo)
else if counterFibs == -1
lo := 1e8
id.set_xy1(int(bigData.get("dnaxis2")), bigData.get("dnaxis"))
for i = 0 to bar_index - bigData.get("upaxis2")
getHigh = highArr.get(i)
hi := math.max(highArr.get(i), hi)
if hi == getHigh
id.set_xy2(bar_index - i, hi)
if id.get_x2() < id.get_x1()
x2 = id.get_x2(), x1 = id.get_x1()
y2 = id.get_y2(), y1 = id.get_y1(),
id.set_xy2(x1, y1),
id.set_xy1(x2, y2)
switch id.get_y2() < id.get_y1()
true => id.set_color(#F24968)
=> id.set_color(#14D990)
0
var main = line.new(dnLabel.first().get_x(), dnLabel.first().get_y(), upLabel.first().get_x(), upLabel.first().get_y(),
style = line.style_dashed,
width = 2
)
main.updateMain()
//-----------------------------------FIB----------------------------------------------------------
// @function quickLine
// @param getX2 The x-coordinate for the endpoint of the line.
// @param y The y-coordinate for the line’s position.
// @param color The color of the line to be drawn.
// @returns void
// @description Draws a horizontal line on the chart with specific attributes.
quickLine(getX2, y, color) =>
line.new(getX2, y, bar_index + 5, y, color = color.new(color, 50))
// @function quickLabel
// @param y The y-coordinate for the label’s position.
// @param txt Text content of the label.
// @param color The text color of the label.
// @returns void
// @description Places a label with given text and color at a specified y-coordinate.
quickLabel(y, txt, color) =>
label.new(bar_index + 5, y, text = str.tostring(txt), color = #00000000, style = label.style_label_left, textcolor = color)
// @function drawFibs
// @returns void
// @description Draws Fibonacci retracement levels based on recent price action.
drawFibs() =>
if barstate.islast
var fibLine = array.new(14)
var fibLab = array.new(14)
if fibLine.size() > 0
for i = 0 to fibLine.size() - 1
fibLine .get(i).delete()
fibLab .get(i).delete()
if showFibs
getY2 = main.get_y2(), sub = main.get_y1() - getY2,
getX1 = main.get_x1(), getX2 = main.get_x2()
for i = 0 to fibLine.size() - 1
mod = i % fibLine.size() - 1
= switch mod
0 =>
1 =>
2 =>
3 =>
4 =>
5 =>
6 =>
7 =>
8 =>
9 =>
10 =>
11 =>
12 =>
13 =>
fibLine.set(i, quickLine (getX2, y, col))
// Combine text level and price
priceLabel = str.tostring(y, "#.#####")
combinedText = txt + " (" + priceLabel + ")" // Prix entre parenthèses
fibLab.set(i, quickLabel(y, combinedText, col))
drawFibs()
// @function drawStructureInternals
// @returns void
// @description Draws internal structures for smaller price swings based on user-defined settings.
drawStructureInternals() =>
if showInt
var keyValues = map.new()
if keyValues.size() == 0
keyValues.put("movingSmall", 0)
if smallUpper != 0
keyValues.put("upsideSmall", 1)
keyValues.put("upaxisSmall", smallUpper)
keyValues.put("upaxis2Small", bar_index - intSens)
if smallLower != 0
keyValues.put("downsideSmall", 1)
keyValues.put("dnaxisSmall", smallLower)
keyValues.put("dnaxis2Small", bar_index - intSens)
if ta.crossover(close, keyValues.get("upaxisSmall"))
if keyValues.get("upsideSmall") != 0
str = switch
keyValues.get("movingSmall") < 0 => intStru != "BoS" ? 'I-CHoCH' : ""
=> intStru != "CHoCH" ? 'I-BoS' : ""
if intStru == "All" or str.contains(str, intStru)
drawChar(keyValues.get("upaxis2Small"), keyValues.get("upaxisSmall"), str, bullC, true)
keyValues.put("upsideSmall", 0)
keyValues.put("movingSmall", 1)
if ta.crossunder(close, keyValues.get("dnaxisSmall"))
if keyValues.get("downsideSmall") != 0
str = switch
keyValues.get("movingSmall") > 0 => intStru != "BoS" ? 'I-CHoCH' : ""
=> intStru != "CHoCH" ? 'I-BoS' : ""
if intStru == "All" or str.contains(str, intStru)
drawChar(keyValues.get("dnaxis2Small"), keyValues.get("dnaxisSmall"), str, bearC, false)
keyValues.put("downsideSmall", 0)
keyValues.put("movingSmall", -1)
drawStructureInternals()
// @function drawAOE
// @returns void
// @description Draws the Premium and Discount Zones on the chart based on recent highs and lows.
drawAOE() =>
atr = ta.atr(14)
if showAOE
if closeArr.size() > 50
aoi = closeArr.slice(0, 50)
aoi2 = openArr .slice(0, 50)
maxaoiH = math.max(aoi.max(), aoi2.max())
minaoiL = math.min(aoi.min(), aoi2.min())
var aoeLevels = map.new()
if aoeLevels.size() == 0
aoeLevels.put("High",
box.new(bar_index , maxaoiH * 1.01, bar_index + 5, maxaoiH,
border_color = #00000000,
bgcolor = color.new(#F24968, 90),
text = "Premium Zone", //"Area of Interest" ,
text_size = size.normal,//.small,
text_color = color.new(#F24968, 33)
))
aoeLevels.put("Low",
box.new(bar_index , minaoiL, bar_index + 5, minaoiL * .99,
border_color = #00000000,
bgcolor = color.new(#14D990, 90),
text = "Discount Zone", //"Area of Interest" ,
text_size = size.normal,//size.small,
text_color = color.new(#14D990, 33)
))
getHighBox = aoeLevels.get("High")
if close <= getHighBox.get_top() * 1.01
getHighBox.set_lefttop (bar_index , maxaoiH + atr)
getHighBox.set_rightbottom (bar_index + 5, maxaoiH)
getHighBox.set_text ("Premium Zone") //"Area of Interest")
else
getHighBox.set_lefttop (bar_index + 5, maxaoiH + atr)
getHighBox.set_rightbottom (bar_index + 5, maxaoiH + atr)
getHighBox.set_text ("")
getLowBox = aoeLevels.get("Low")
if close >= getLowBox.get_bottom() * .99
getLowBox.set_lefttop (bar_index , minaoiL)
getLowBox.set_rightbottom (bar_index + 5, minaoiL - atr)
getLowBox.set_text ("Discount Zone") //"Area of Interest")
else
getLowBox.set_lefttop (bar_index + 5, minaoiL)
getLowBox.set_rightbottom (bar_index + 5, - atr)
getLowBox.set_text ("")
drawAOE()
var table tab2 = table.new(position.top_right, 13, 13, bgcolor = #20222C, border_color = #363843, frame_color = #363843, border_width = 1, frame_width = 1)
nyHour = hour (timenow, "America/New_York")
nyMinute = minute(timenow, "America/New_York")
// @function fvg
// @param direction Determines the direction for fair value gap (FVG) detection: positive for up, negative for down.
// @returns An array of FVG boxes in the specified direction.
// @description Identifies fair value gaps (FVGs) and stores them in an array of boxes for visual representation.
fvg(direction) =>
var fvgMat = matrix.new(5), var fvgDrawings = array.new()
fvgMat.add_col(0, array.from(math.sign(close - open), close, high, low, time))
if fvgMat.columns() > 3
fvgMat.remove_col(fvgMat.columns() - 1)
if fvgMat.row(0).sum() == direction
getDir = math.sign(direction)
= switch getDir
-1 =>
=>
col = switch closeOnly
true => #00000000
=> color.new(fvgcol, fvgtra)
fvgDrawings.push(
box.new(int(fvgMat.get(4, 1)),y, last_bar_time, y1, xloc = xloc.bar_time,
border_color = col, bgcolor = col)
)
fvgDrawings
if showFVG
fvgDn = fvg(-3)
fvgUp = fvg(3)
if fvgDn.size() > 0
for i = fvgDn.size() - 1 to 0
getfvg = fvgDn.get(i)
if high >= getfvg.get_top()
getfvg.delete()
fvgDn.remove(i)
else if contract
if high > getfvg.get_bottom()
getfvg.set_bottom(high)
if fvgUp.size() > 0
for i = fvgUp.size() - 1 to 0
getfvg = fvgUp.get(i)
if low <= getfvg.get_bottom()
getfvg.delete()
fvgUp.remove(i)
else if contract
if low < getfvg.get_top()
getfvg.set_top(low)
if closeOnly and barstate.islast
minDist = matrix.new(1, 2, 20e20)
if fvgDn.size() > 0
for i = fvgDn.size() - 1 to 0
getBottom = fvgDn.get(i).get_bottom()
minDist.set(0, 1, math.min(minDist.get(0, 1), math.abs(close - getBottom)))
if math.abs(close - getBottom) == minDist.get(0, 1)
minDist.set(0, 0, i)
fvgDn.get(i).set_right(fvgDn.get(i).get_left())
fvgDn.get(int(minDist.get(0, 0))).set_bgcolor(color.new(fvgcol, fvgtra))
fvgDn.get(int(minDist.get(0, 0))).set_border_color(color.new(fvgcol, fvgtra))
fvgDn.get(int(minDist.get(0, 0))).set_right(last_bar_time)
minDist.set(0, 0, 0)
minDist.set(0, 1, 20e20)
if fvgUp.size() > 0
for i = fvgUp.size() - 1 to 0
getTop = fvgUp.get(i).get_top()
minDist.set(0, 1, math.min(minDist.get(0, 1), math.abs(close - getTop)))
if math.abs(close - getTop) == minDist.get(0, 1)
minDist.set(0, 0, i)
fvgUp.get(i).set_right(fvgUp.get(i).get_left())
fvgUp.get(int(minDist.get(0, 0))).set_bgcolor(color.new(fvgcol, fvgtra))
fvgUp.get(int(minDist.get(0, 0))).set_border_color(color.new(fvgcol, fvgtra))
fvgUp.get(int(minDist.get(0, 0))).set_right(last_bar_time)
// @function calculateTimeDifference
// @param timestamp1 The starting timestamp for time difference calculation.
// @param timestamp2 The ending timestamp for time difference calculation.
// @returns A tuple containing hours and minutes as integers.
// @description Calculates the time difference between two timestamps, outputting hours and minutes.
//calculateTimeDifference(timestamp1, timestamp2) =>
// timeDifference = timestamp2 - timestamp1
// hours = math.floor(timeDifference / 3600000)
// minutes = math.floor((timeDifference % 3600000) / 60000)
//
//dayAdjustment = (hour(timenow, "America/New_York") < 2) ? dayofmonth(timenow) + 1 : dayofmonth(timenow)
//dayAdjustment2 = nyHour >= 20 or nyHour < 2 ? dayofmonth(timenow) + 1 : dayofmonth(timenow)
// @function timeIsInRange
// @param startHour The start hour of the time range.
// @param startMinute The start minute of the time range.
// @param endHour The end hour of the time range.
// @param endMinute The end minute of the time range.
// @returns Boolean indicating if the current time is within the specified range.
// @description Checks if the current time falls within a specified range based on New York timezone.
//timeIsInRange(startHour, startMinute, endHour, endMinute) =>
// (nyHour > startHour or (nyHour == startHour and nyMinute >= startMinute)) and (nyHour < endHour or (nyHour == endHour and nyMinute <= endMinute))
// = switch
// timeIsInRange(9, 30, 16, 0) =>
// timeIsInRange(20, 0, 2 , 0) =>
// timeIsInRange(3, 0, 11, 30) =>
// =>
// = calculateTimeDifference(timenow, timetilchange)
//timetilchange2 = switch
// timeIsInRange(9, 30, 16, 0) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 20, 0, 0)
// timeIsInRange(20, 0, 2 , 0) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 3, 0, 0)
// timeIsInRange(3, 0, 11, 30) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 9, 30, 0)
// => na
//if na(timetilchange2)
// timetilchange2 := switch
// nyHour < 9 or (nyHour == 9 and nyMinute < 30) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 9, 30, 0)
// nyHour < 20 or (nyHour >= 16 and nyHour < 20) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 20, 0, 0)
// nyHour < 3 or (nyHour >= 2 and nyHour < 3) => timestamp("America/New_York", year(timenow), month(timenow), dayofmonth(timenow), 3, 0, 0)
// => na
// = calculateTimeDifference(timenow, timetilchange2)
//method getActivity(array id, float id2) =>
// if id.size() > 0
// volPerc1 = id.percentile_nearest_rank(10)
// volPerc2 = id.percentile_nearest_rank(33)
// volPerc3 = id.percentile_nearest_rank(50)
// volPerc4 = id.percentile_nearest_rank(66)
// volPerc5 = id.percentile_nearest_rank(90)
// log.warning(str.tostring(volPerc1) + " " + str.tostring(volPerc2) + " " + str.tostring(volPerc3) + " " + str.tostring(volPerc4) + " " + str.tostring(volPerc5))
// activity = switch
// id2 <= volPerc1 => "Very Low"
// id2 <= volPerc2 => "Low"
// id2 <= volPerc3 => "Average"
// id2 <= volPerc4 => "High"
// => "Very High"
// activity
//if barstate.islast
// hr4Act = vol4hrArr.getActivity(vol4hr)
// D1Act = vol1DArr .getActivity(vol1D)
// str = str.tostring(timetilchange)
// ch = str.substring(str, str.pos(str, ".") + 1, str.length(str))
// nu = str.tonumber(ch) * 6
// nu2 = str.substring(str.tostring(nu), 0, 2)
// table.cell(tab2, 0, 2, text = "Session:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 3, text = "Session Close:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 4, text = "Next Session:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 5, text = "Next Session Open:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 6, text = "4-Hr Volume:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 0, 7, text = "24-Hr Volume:" , text_color = color.white, text_halign = text.align_left)
// table.cell(tab2, 1, 2, text = stringCol , text_color = color.white)
// table.cell(tab2, 1, 3, text = stringCol != "Dead Zone" ? str.tostring(hours)+ "h" + str.tostring(minutes) + "m": "Dead Zone", text_color = color.white)
// table.cell(tab2, 1, 4, text =stringCol2, text_color = color.white)
// table.cell(tab2, 1, 5, text = str.tostring(hours2) + "h:" + str.tostring(minutes2) + "m", text_color = color.white)
// table.cell(tab2, 1, 6, text = hr4Act, text_color = color.white)
// table.cell(tab2, 1, 7, text = D1Act, text_color = color.white)
nyHour2 = hour (time, "America/New_York")
nyMinute2 = minute(time, "America/New_York")
// @function timeIsInRange2
// @param startHour The starting hour for checking the time range.
// @param startMinute The starting minute within the hour.
// @param endHour The ending hour for checking the time range.
// @param endMinute The ending minute within the hour.
// @returns Boolean indicating if the current time is within the specified range.
// @description Checks if the current chart time falls within a specified time range.
timeIsInRange2(startHour, startMinute, endHour, endMinute) =>
if endHour >= startHour
(nyHour2 > startHour or (nyHour2 == startHour and nyMinute2 >= startMinute)) and
(nyHour2 < endHour or (nyHour2 == endHour and nyMinute2 <= endMinute))
else
(nyHour2 > startHour or (nyHour2 == startHour and nyMinute2 >= startMinute)) or
(nyHour2 < endHour or (nyHour2 == endHour and nyMinute2 <= endMinute))
nyCol = input.color(defval = #f24968, title = "NY Color")
asCol = input.color(defval = #14D990, title = "Asia Color")
loCol = input.color(defval = #F2B807, title = "London Color")
tra = input.int(defval = 98, minval = 0, maxval = 100, title = "Transparency")
bgcolor(timeIsInRange2(9, 30, 16, 0) ? color.new(nyCol, tra) : na)
bgcolor(timeIsInRange2(20, 0, 2 , 0) ? color.new(asCol, tra) : na)
bgcolor(timeIsInRange2(3, 0, 11, 30) ? color.new(loCol, tra) : na)
//---------------------------------------Entry/Exit-------------------------------------------------------
// "Entry/Exit signal"
Entry_exit_ena = input.bool(defval = true, title = "Entry/Exit Signal" ,group = "Entry/exit Signal")
a = input.float(1.5, title="Key Value. 'This changes the sensitivity'", group = "Entry/exit Signal")
c = input.int(7, title="ATR Period", group = "Entry/exit Signal")
ma_length = input.int(50, minval=1, title="Période de la Moyenne Mobile", group = "Entry/exit Signal")
Trail_Stop_ENA = input.bool(defval = true, title = "Trail Stop" ,group = "Entry/exit Signal")
Trail_stop_col = input.color(title = "Trailing stop color", defval = color.yellow, group = "Entry/exit Signal")
//if Entry_exit_ena
// Paramètres de la Moyenne Mobile (Filtre de Tendance)
// Calculs de base
xATR = ta.atr(c)
nLoss = a * xATR
src = close
// Calcul de l'UT BOT Trailing Stop
var float xATRTrailingStop = 0.0
xATRTrailingStop := if src > nz(xATRTrailingStop ) and src > nz(xATRTrailingStop )
math.max(nz(xATRTrailingStop ), src - nLoss)
else if src < nz(xATRTrailingStop ) and src < nz(xATRTrailingStop )
math.min(nz(xATRTrailingStop ), src + nLoss)
else if src > nz(xATRTrailingStop )
src - nLoss
else
src + nLoss
// Calcul de la Moyenne Mobile
ma = ta.ema(close, ma_length)
// Condition de tendance
is_uptrend = close > ma
is_downtrend = close < ma
// Signaux d'achat et de vente selon le trend
buy = ta.crossover(src, xATRTrailingStop) and is_uptrend
sell = ta.crossunder(src, xATRTrailingStop) and is_downtrend
// Tracé de l'UT BOT Trailing Stop
plot(Trail_Stop_ENA ? xATRTrailingStop : na, color=buy ? color.green : sell ? color.red : Trail_stop_col, linewidth=2, title="Trailing Stop Style")
// Indication des signaux sur le graphique
if buy and Entry_exit_ena
label.new(bar_index, low, text='Buy', style=label.style_label_up, yloc=yloc.belowbar ,color=color.green, textcolor=color.white, size=size.small)
if sell and Entry_exit_ena
label.new(bar_index, high, text='Sell', style=label.style_label_down, yloc=yloc.abovebar, color=color.red, textcolor=color.white, size=size.small)
alertcondition(buy, "Buy/Long", "Buy Long")
alertcondition(sell, "Sell/Short", "Sell/Short")
// ----------------------------------------Trend table-----------------------------------------------
// Paramètres utilisateur
afficher_tableau = input.bool(true, "Afficher le tableau", group="Trend Table")
periode_ema = input.int(200, minval=1, title="Période EMA pour les tendances", group="Trend Table")
periode_ema_btc = input.int(200, minval=1, title="Période EMA pour la tendance BTC", group="Trend Table")
// Configuration des périodes de tendance avec un menu déroulant lisible
periode1 = input.string("15m", "Période de tendance 1", options= , group="Trend Table")
periode2 = input.string("1h", "Période de tendance 2", options= , group="Trend Table")
periode3 = input.string("4h", "Période de tendance 3", options= , group="Trend Table")
periode4 = input.string("Day", "Période de tendance 4", options= , group="Trend Table")
// Période de tendance pour le BTC
btc_periode_tendance = input.string("4h", "Période de tendance BTC", options= , group="Trend Table")
// Couleurs pour les tendances
color_haussier = color.green
color_baissier = color.red
// Couleurs de fond alternées pour les lignes (définies globalement)
bg_color_odd = color.new(color.gray, 90) // Gris très clair pour les lignes impaires
bg_color_even = color.new(color.gray, 70) // Gris clair pour les lignes paires
// Fonction de mapping des périodes lisibles en valeurs temporelles standard
f_mapper_periode(timeframe_lisible) =>
switch timeframe_lisible
"5m" => "5"
"15m" => "15"
"1h" => "60"
"4h" => "240"
"8h" => "480"
"12h" => "720"
"Day" => "D"
=> timeframe_lisible // Cas par défaut si aucune correspondance n'est trouvée
// Mapper les périodes sélectionnées
periode1_mapped = f_mapper_periode(periode1)
periode2_mapped = f_mapper_periode(periode2)
periode3_mapped = f_mapper_periode(periode3)
periode4_mapped = f_mapper_periode(periode4)
btc_periode_tendance_mapped = f_mapper_periode(btc_periode_tendance)
// Fonction pour déterminer la session actuelle en utilisant l'heure du graphique (UTC-5)
f_session_actuelle() =>
heure = hour(time)
minute_ = minute(time)
heure_mod = heure * 60 + minute_
sessions_actives = ""
// Définir les plages horaires des sessions en UTC-5
// Session Asie (19:00 - 04:00)
if (heure_mod >= (19 * 60) or heure_mod < (4 * 60))
sessions_actives := sessions_actives + "Asie, "
// Session Londres (03:00 - 12:00)
if (heure_mod >= (3 * 60) and heure_mod < (12 * 60))
sessions_actives := sessions_actives + "Londres, "
// Session New York (08:00 - 17:00)
if (heure_mod >= (8 * 60) and heure_mod < (17 * 60))
sessions_actives := sessions_actives + "NY, "
// Nettoyer la chaîne de caractères pour enlever la virgule finale
if (str.endswith(sessions_actives, ", "))
sessions_actives := str.substring(sessions_actives, 0, str.length(sessions_actives) - 2)
// Si aucune session n'est active
sessions_actives := sessions_actives == "" ? "Hors session" : sessions_actives
sessions_actives
session_actuelle = f_session_actuelle()
// Fonction pour calculer la tendance basée sur l'EMA sans lookahead
f_tendance(symbole, timeframe_tendance, periode_ema) =>
= request.security(symbole, timeframe_tendance, , barmerge.gaps_off, barmerge.lookahead_off)
tendance = cours > ema_valeur ? "Haussier" : "Baissier"
tendance
// Calcul de la tendance du BTC
tendance_btc = f_tendance("BINANCE:BTCUSDT", btc_periode_tendance_mapped, periode_ema_btc)
// Calcul des tendances pour les périodes spécifiées
tendance_periode1 = f_tendance(syminfo.tickerid, periode1_mapped, periode_ema)
tendance_periode2 = f_tendance(syminfo.tickerid, periode2_mapped, periode_ema)
tendance_periode3 = f_tendance(syminfo.tickerid, periode3_mapped, periode_ema)
tendance_periode4 = f_tendance(syminfo.tickerid, periode4_mapped, periode_ema)
// Fonction pour obtenir le nom du ticker actuel
f_ticker_actuel() =>
syminfo.ticker
// Obtenir le ticker actuel
ticker_actuel = f_ticker_actuel()
// Affichage du tableau
if afficher_tableau
// Création du tableau
var table mon_tableau = table.new(position=position.top_right, columns=2, rows=7, bgcolor=color.new(color.black, 0), frame_color=color.new(color.gray, 0), frame_width=1)
if barstate.isfirst
// Première colonne (libellés)
table.cell(table_id=mon_tableau, row=0, column=0, text="Session actuelle:", text_color=color.white, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=1, column=0, text="Tendance:", text_color=color.white, bgcolor=bg_color_odd, text_halign=text.align_right)
table.cell(table_id=mon_tableau, row=6, column=0, text="BTC (" + btc_periode_tendance + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=2, column=0, text= ticker_actuel + " (" + periode1 + "):", text_color=color.white, bgcolor=bg_color_odd)
table.cell(table_id=mon_tableau, row=3, column=0, text="(" + periode2 + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=4, column=0, text="(" + periode3 + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_odd)
table.cell(table_id=mon_tableau, row=5, column=0, text="(" + periode4 + "):", text_color=color.white, text_halign=text.align_right, bgcolor=bg_color_even)
// Définir les couleurs de fond pour les cellules de tendance
trend_btc_color = tendance_btc == "Haussier" ? color.green : color.red
trend_periode1_color = tendance_periode1 == "Haussier" ? color.green : color.red
trend_periode2_color = tendance_periode2 == "Haussier" ? color.green : color.red
trend_periode3_color = tendance_periode3 == "Haussier" ? color.green : color.red
trend_periode4_color = tendance_periode4 == "Haussier" ? color.green : color.red
// Mise à jour des valeurs avec les couleurs appropriées
table.cell(table_id=mon_tableau, row=0, column=1, text=session_actuelle, text_color=color.yellow, bgcolor=bg_color_even)
table.cell(table_id=mon_tableau, row=1, column=1, text="", bgcolor=bg_color_odd)
table.cell(table_id=mon_tableau, row=6, column=1, text=tendance_btc, text_color=color.white, bgcolor=trend_btc_color)
table.cell(table_id=mon_tableau, row=2, column=1, text=tendance_periode1, text_color=color.white, bgcolor=trend_periode1_color)
table.cell(table_id=mon_tableau, row=3, column=1, text=tendance_periode2, text_color=color.white, bgcolor=trend_periode2_color)
table.cell(table_id=mon_tableau, row=4, column=1, text=tendance_periode3, text_color=color.white, bgcolor=trend_periode3_color)
table.cell(table_id=mon_tableau, row=5, column=1, text=tendance_periode4, text_color=color.white, bgcolor=trend_periode4_color)
// Optionnel : Ajouter une étiquette de débogage pour vérifier la session actuelle
// label.new(bar_index, high, text="Session: " + session_actuelle, style=label.style_label_down, color=color.blue, textcolor=color.white, size=size.small, yloc=yloc.abovebar)
Micro Channel Alert Pro//@version=6
indicator("Micro Channel Alert Pro", overlay=true)
// === تنظیمات
len = input.int(7, "Micro Channel Length", minval=3, maxval=10)
emaLength = input.int(20, "EMA Length")
minTrendStrength = input.float(0.002, "Min Trend Strength (%)", step=0.0001)
angleThreshold = input.float(25.0, "Min Channel Angle (degrees)")
cooldownBars = input.int(10, "Cooldown after Signal", minval=1)
// === محاسبه EMA و قدرت روند
ema = ta.ema(close, emaLength)
trendStrength = math.abs(ema - ema ) / ema
isTrending = trendStrength > minTrendStrength
// === محاسبه زاویه رگرسیون (به درجه)
regNow = ta.linreg(close, len, 0)
regPrev = ta.linreg(close, len, 1)
angleClose = math.atan(regNow - regPrev) * 180 / math.pi
// === بررسی ساختار HL یا LH
isHL = true
isLH = true
for i = 1 to len - 1
isHL := isHL and (low > low ) and (high > high )
isLH := isLH and (low < low ) and (high < high )
// === بررسی نوسان پایین (کندلهای کوچک)
avgRange = ta.sma(high - low, len)
avgBody = ta.sma(math.abs(close - open), len)
lowVolatility = avgBody / avgRange < 0.6
// === شرایط سیگنال
microUp = isTrending and isLH and angleClose > angleThreshold and lowVolatility and close > high
microDn = isTrending and isHL and angleClose < -angleThreshold and lowVolatility and close < low
// === جلوگیری از سیگنال تکراری
var int lastSignalBar = na
cooldownOk = na(lastSignalBar) or (bar_index - lastSignalBar > cooldownBars)
signalUp = microUp and cooldownOk
signalDn = microDn and cooldownOk
if signalUp or signalDn
lastSignalBar := bar_index
// === نمایش روی چارت
plotshape(signalUp, title="Micro Up", location=location.belowbar, style=shape.labelup, color=color.green, text="Micro ↑")
plotshape(signalDn, title="Micro Down", location=location.abovebar, style=shape.labeldown, color=color.red, text="Micro ↓")
// === آلارم
alertcondition(signalUp, title="Micro Channel Up Alert", message="Micro Channel Up Detected!")
alertcondition(signalDn, title="Micro Channel Down Alert", message="Micro Channel Down Detected!")
UTBot + EMA Filter (HA + ATR Logic)UT+ EMA = hightest winrate >90% for scalping
UT+ EMA = hightest winrate >90% for scalping
UT+ EMA = hightest winrate >90% for scalping
UT+ EMA = hightest winrate >90% for scalping
Smart Multi-Signal System PROThis custom TradingView indicator is designed to improve trade accuracy by combining multiple strong signals:
1. 200 EMA – Filters trades by trend (only buys above EMA, sells below).
2. RSI (14) – Spots overbought/oversold momentum for reversal opportunities.
3. Volume Spike – Confirms strong interest by checking if volume is 1.5× above average.
4. Impulse Candle – Looks for strong price moves (body > 1.5% of price).
When all these conditions align, it plots a BUY or SELL label directly on the chart.
Dr. Ravi Strategy - Full ComboThis Pine Script indicator identifies demand and supply zones based on price action:
It detects bullish or bearish impulsive candles using a user-defined body percentage threshold.
Then it looks back a few candles to identify a “base”—a consolidation area with small candle bodies (checked via math.abs()).
If the setup is valid, it draws a green zone below for demand (after a bullish impulse) or a red zone above for supply (after a bearish impulse).
These zones can help traders anticipate potential reversal or breakout areas.
UTBot + EMA Filter (HA + ATR Logic)hightest winrate >90%,
hightest winrate >90%
hightest winrate >90%
hightest winrate >90%hightest winrate >90%
My script1// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
2// © Lkkahar99
3
4//@version=6
5indicator("My script")
6plot(close)
7
