BTC Dashboard D / 4H / 1H (simple)//@version=5
indicator("BTC Dashboard D / 4H / 1H (simple)", overlay = true)
// ---------- Réglages ----------
rsiLen = 14
emaLen50 = 50
emaLen200 = 200
// Petite fonction pour formater les nombres
f_fmt(float v) =>
str.tostring(v, format.mintick)
// ---------- TIMEFRAMES ----------
tfD = "D"
tf4H = "240"
tf1H = "60"
// ---------- DAILY ----------
closeD = request.security(syminfo.tickerid, tfD, close)
ema50D = request.security(syminfo.tickerid, tfD, ta.ema(close, emaLen50))
ema200D = request.security(syminfo.tickerid, tfD, ta.ema(close, emaLen200))
rsiD = request.security(syminfo.tickerid, tfD, ta.rsi(close, rsiLen))
// ---------- 4H ----------
close4H = request.security(syminfo.tickerid, tf4H, close)
ema504H = request.security(syminfo.tickerid, tf4H, ta.ema(close, emaLen50))
ema2004H = request.security(syminfo.tickerid, tf4H, ta.ema(close, emaLen200))
rsi4H = request.security(syminfo.tickerid, tf4H, ta.rsi(close, rsiLen))
// ---------- 1H ----------
close1H = request.security(syminfo.tickerid, tf1H, close)
ema501H = request.security(syminfo.tickerid, tf1H, ta.ema(close, emaLen50))
ema2001H = request.security(syminfo.tickerid, tf1H, ta.ema(close, emaLen200))
rsi1H = request.security(syminfo.tickerid, tf1H, ta.rsi(close, rsiLen))
// ---------- TABLE ----------
var table t = table.new(position.top_right, 4, 4, border_width = 1)
if barstate.islast
// Ligne d’en-tête
table.cell(t, 0, 0, "TF", text_color = color.white, bgcolor = color.new(color.black, 0))
table.cell(t, 0, 1, "Close", text_color = color.white, bgcolor = color.new(color.black, 0))
table.cell(t, 0, 2, "EMA50 / EMA200", text_color = color.white, bgcolor = color.new(color.black, 0))
table.cell(t, 0, 3, "RSI", text_color = color.white, bgcolor = color.new(color.black, 0))
// ----- DAILY -----
rowD = 1
table.cell(t, rowD, 0, "D", text_color = color.yellow, bgcolor = color.new(color.blue, 70))
table.cell(t, rowD, 1, f_fmt(closeD))
table.cell(t, rowD, 2, "50: " + f_fmt(ema50D) + " 200: " + f_fmt(ema200D))
table.cell(t, rowD, 3, f_fmt(rsiD))
// ----- 4H -----
row4 = 2
table.cell(t, row4, 0, "4H", text_color = color.white, bgcolor = color.new(color.teal, 70))
table.cell(t, row4, 1, f_fmt(close4H))
table.cell(t, row4, 2, "50: " + f_fmt(ema504H) + " 200: " + f_fmt(ema2004H))
table.cell(t, row4, 3, f_fmt(rsi4H))
// ----- 1H -----
row1 = 3
table.cell(t, row1, 0, "1H", text_color = color.white, bgcolor = color.new(color.green, 70))
table.cell(t, row1, 1, f_fmt(close1H))
table.cell(t, row1, 2, "50: " + f_fmt(ema501H) + " 200: " + f_fmt(ema2001H))
table.cell(t, row1, 3, f_fmt(rsi1H))
Pattern grafici
PIVOT AND ICHIMOKU BACKGROUND BY PRANOJIT DEYIt shows pivot bias in relation to day open line and it also shows ichimoku bullish trend background. good for option buyers to understand market bias.
MA 9/21/50/100/200//@version=5
indicator("MA 9/21/50/100/200", overlay=true)
ma9 = ta.sma(close, 9)
ma21 = ta.sma(close, 21)
ma50 = ta.sma(close, 50)
ma100 = ta.sma(close, 100)
ma200 = ta.sma(close, 200)
plot(ma9, color=color.new(color.yellow, 0), title="MA 9")
plot(ma21, color=color.new(color.orange, 0), title="MA 21")
plot(ma50, color=color.new(color.blue, 0), title="MA 50")
plot(ma100, color=color.new(color.green, 0), title="MA 100")
plot(ma200, color=color.new(color.red, 0), title="MA 200")
ATR Trailing Stop (Long or Short Selectable)The ATR Trailing Stop (Long or Short Selectable) will start calculating on a set date that you specify. This is great because you want to trail the price from the breakout day or even after exceeding specific price level (can be your breakeven level or even to capture more of the upside after the price target is met).
Entry price: If you act at the close of the day, you can leave this value as 0 and it will take the close of the day for the initial protective stop-loss calculation. You can choose to add a value such as the pattern boundary and in that case it will subtract the initial protective stop-loss from the pattern boundary and not the close of the day. If you use a scaling in tactic during the day (buying in tranches intraday as the breakout takes place) and your average purchase price is different than the close of the day, you can also plug that number in to calculate the initial protective stop-loss.
This is a modified version as many followers asked for ATR trailing for short setups. Now you can select the Long/Short trade setup from the drop down menu.
ATR period: You can select the ATR period. It can be 10 day, 14 day or 30 day or any ATR period of your choice.
ATR Multiplier for Stop-loss: This is the multiplier that you want to trail the price with. From the highest level price reached it will trail the price with a 3 x ATR () distance. The higher the number, the wider the trailing stop-loss. A multiplier of 1 will trail the price so close that and adverse movement can result in triggering the stop-loss.
Custom Value for First day Trailing Stop: This is my favorite part. For aggressive risk management, your initial protective stop can be smaller than what the ATR Trailing Stop will use in its calculation after entry day. In this case you can take 1xATR () or even with FX and Futures you can apply 0.5xATR() as the first day to calculate initial protective stop. The protective stop turns into a trailing stop after the first day.
Pin Bar Highlighter//@version=5
indicator("Pin Bar Highlighter", overlay=true)
body = math.abs(close - open)
upperWick = high - math.max(open, close)
lowerWick = math.min(open, close) - low
bullPin = (lowerWick >= body * 2) and (close > open)
bearPin = (upperWick >= body * 2) and (close < open)
bullColor = color.rgb(10, 20, 80)
bearColor = color.rgb(255, 20, 150)
barcolor(bullPin ? bullColor : bearPin ? bearColor : na)
Yit's Risk CalculatorIntroducing a risk a bulletproof risk calculator.
I'm tired of sitting on my brokerage, messing with my shares to buy while price action leaves me in the dust.
For my breakout strategy execution is everything i dont have time to stop and think.
within the Indicator settings you have free reign to change account size and risk%
*the stop loss is glued to the low of the day*
AnAn FastKnife MNQ • V7 PRO (AI Signals + R/R + Dashboard)ai script developed to test the market and the speed and the volatility an the important signals
Fair Value Gaps (FVG)This indicator automatically detects Fair Value Gaps (FVGs) using the classic 3-candle structure (ICT-style).
It is designed for traders who want clean charts and relevant FVGs only, without the usual clutter from past sessions or tiny, meaningless gaps.
Key Features
• Bullish & Bearish FVG detection
Identifies imbalances where price fails to trade efficiently between candles.
• Automatic FVG removal when filled
As soon as price trades back into the gap, the box is deleted in real time – no more outdated zones on the chart.
• Only shows FVGs from the current session
At the start of each new session, all previous FVGs are cleared.
Perfect for intraday traders who only care about today’s liquidity map.
• Flexible minimum gap size filter
Avoid noise by filtering FVGs using one of three modes:
Ticks (based on market tick size)
Percent (relative to current price)
Points (absolute price distance)
• Right-extension option
Keep gaps extended forward in time or limit them to the candles that created them.
Why This Indicator?
Many FVG indicators overwhelm the chart with zones from previous days or tiny imbalances that don’t matter.
This version keeps things clean, meaningful, and real-time accurate, ideal for day traders who rely on market structure and liquidity.
Futures Momentum Scanner – jyoti//@version=5
indicator("Futures Momentum Scanner – Avvu Edition", overlay=false, max_lines_count=500)
//------------------------------
// USER INPUTS
//------------------------------
rsiLen = input.int(14, "RSI Length")
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
stLength = input.int(10, "Supertrend Length")
stMult = input.float(3.0, "Supertrend Multiplier")
//------------------------------
// SUPER TREND
//------------------------------
= ta.supertrend(stMult, stLength)
trendUp = stDirection == 1
//------------------------------
// RSI
//------------------------------
rsi = ta.rsi(close, rsiLen)
rsiBull = rsi > 50 and rsi < 65
//------------------------------
// MACD
//------------------------------
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdBull = macd > signal and macd > 0
//------------------------------
// MOVING AVERAGE TREND
//------------------------------
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
trendStack = ema20 > ema50 and ema50 > ema200
//------------------------------
// BREAKOUT LOGIC
//------------------------------
prevHigh = ta.highest(high, 20)
breakout = close > prevHigh
//------------------------------
// FINAL SCANNER LOGIC
//------------------------------
bullishCandidate = trendUp and rsiBull and macdBull and trendStack and breakout
//------------------------------
// TABLE OUTPUT FOR SCANNER FEEL
//------------------------------
var table t = table.new(position.top_right, 1, 1)
if barstate.islast
msg = bullishCandidate ? "✔ BUY Candidate" : "– Not a Setup"
table.cell(t, 0, 0, msg, bgcolor=bullishCandidate ? color.new(color.green, 0) : color.new(color.red, 70))
//------------------------------
// ALERT
//------------------------------
alertcondition(bullishCandidate, title="Scanner Trigger", message="This stock meets Avvu's futures scanner criteria!")
Session High/LowSession High Low
Trading Sessions
Forex Sessions (oder Futures Sessions, je nachdem, was du handelst)
Pine Script Indicator
Intraday Levels
Market Sessions
High Low Lines
Day Trading Tools
1小时区域背景颜色// This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) creativecommons.org
// © LuxAlgo
//@version=5
indicator("Sessions ", "LuxAlgo - Sessions", overlay = true, max_bars_back = 500, max_lines_count = 500, max_boxes_count = 500, max_labels_count = 500)
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
//Session A
show_sesa = input(true, '', inline = 'sesa', group = 'Session A')
sesa_txt = input('New York', '', inline = 'sesa', group = 'Session A')
sesa_ses = input.session('1300-2200', '', inline = 'sesa', group = 'Session A')
sesa_css = input.color(#ff5d00, '', inline = 'sesa', group = 'Session A')
sesa_range = input(true, 'Range', inline = 'sesa_overlays', group = 'Session A')
sesa_tl = input(false, 'Trendline', inline = 'sesa_overlays', group = 'Session A')
sesa_avg = input(false, 'Mean', inline = 'sesa_overlays', group = 'Session A')
sesa_vwap = input(false, 'VWAP', inline = 'sesa_overlays', group = 'Session A')
sesa_maxmin = input(false, 'Max/Min', inline = 'sesa_overlays', group = 'Session A')
//Session B
show_sesb = input(true, '', inline = 'sesb', group = 'Session B')
sesb_txt = input('London', '', inline = 'sesb', group = 'Session B')
sesb_ses = input.session('0700-1600', '', inline = 'sesb', group = 'Session B')
sesb_css = input.color(#2157f3, '', inline = 'sesb', group = 'Session B')
sesb_range = input(true, 'Range', inline = 'sesb_overlays', group = 'Session B')
sesb_tl = input(false, 'Trendline', inline = 'sesb_overlays', group = 'Session B')
sesb_avg = input(false, 'Mean', inline = 'sesb_overlays', group = 'Session B')
sesb_vwap = input(false, 'VWAP', inline = 'sesb_overlays', group = 'Session B')
sesb_maxmin = input(false, 'Max/Min', inline = 'sesb_overlays', group = 'Session B')
//Session C
show_sesc = input(true, '', inline = 'sesc', group = 'Session C')
sesc_txt = input('Tokyo', '', inline = 'sesc', group = 'Session C')
sesc_ses = input.session('0000-0900', '', inline = 'sesc', group = 'Session C')
sesc_css = input.color(#e91e63, '', inline = 'sesc', group = 'Session C')
sesc_range = input(true, 'Range', inline = 'sesc_overlays', group = 'Session C')
sesc_tl = input(false, 'Trendline', inline = 'sesc_overlays', group = 'Session C')
sesc_avg = input(false, 'Mean', inline = 'sesc_overlays', group = 'Session C')
sesc_vwap = input(false, 'VWAP', inline = 'sesc_overlays', group = 'Session C')
sesc_maxmin = input(false, 'Max/Min', inline = 'sesc_overlays', group = 'Session C')
//Session D
show_sesd = input(true, '', inline = 'sesd', group = 'Session D')
sesd_txt = input('Sydney', '', inline = 'sesd', group = 'Session D')
sesd_ses = input.session('2100-0600', '', inline = 'sesd', group = 'Session D')
sesd_css = input.color(#ffeb3b, '', inline = 'sesd', group = 'Session D')
sesd_range = input(true, 'Range', inline = 'sesd_overlays', group = 'Session D')
sesd_tl = input(false, 'Trendline', inline = 'sesd_overlays', group = 'Session D')
sesd_avg = input(false, 'Mean', inline = 'sesd_overlays', group = 'Session D')
sesd_vwap = input(false, 'VWAP', inline = 'sesd_overlays', group = 'Session D')
sesd_maxmin = input(false, 'Max/Min', inline = 'sesd_overlays', group = 'Session D')
//Timezones
tz_incr = input.int(0, 'UTC (+/-)', group = 'Timezone')
use_exchange = input(false, 'Use Exchange Timezone', group = 'Timezone')
//Ranges Options
bg_transp = input.float(90, 'Range Area Transparency', group = 'Ranges Settings')
show_outline = input(true, 'Range Outline', group = 'Ranges Settings')
show_txt = input(true, 'Range Label', group = 'Ranges Settings')
Support Resistance📌 1. Indicator Name
Premium Auto Support & Resistance
📌 2. One-Line Description
An automated S/R system that generates support and resistance zones based on swing highs and lows, displaying them in a premium visual style directly on the chart.
📌 3. Overall Summary (7+ lines)
This indicator automatically detects price levels where the market has repeatedly reacted and generates support and resistance zones.
Instead of simple horizontal lines, it visualizes reaction ranges as zones, helping traders clearly understand the actual price areas where activity occurs.
It uses swing points (high/low pivots) as the fundamental basis and continuously updates only the most meaningful recent S/R levels.
A smoothing process is applied, reducing noise and creating more natural, reliable S/R zones.
Support and resistance are displayed as filled transparency-based zones, enabling intuitive identification of zone strength and market position.
When price touches one of these zones, a small signal appears to highlight potential reversal points.
All elements are plotted directly over the candles with overlay=true, making it an instantly usable and visually premium tool.
📌 4. Advantages (6 items)
① Automatic Swing-Based S/R Detection
Automatically analyzes key pivot points and extracts only the most meaningful support and resistance levels.
② Support/Resistance Zone Structure
Provides intuitive reaction ranges instead of single lines, making it far more practical for real trading.
③ Smooth Premium-Style Lines
S/R lines are smoothed to remove noise, maintaining a natural and refined premium visual appearance.
④ Automatic Candle-Touch Alerts
Displays signals whenever price touches support or resistance, helping you quickly identify potential reversal areas.
⑤ Overlay-Based Immediate Clarity
Drawn directly onto the chart without occupying indicator windows, keeping visual focus on price action.
⑥ Simple Yet Powerful Framework
A pivot + smoothing + zone combination that strengthens automatic S/R detection while remaining easy for beginners to use.
Filter Trend1. Indicator Name
Premium EMA Ribbon Filter (Pro Version)
(Advanced Trend & Momentum Filtering System Based on EMA Ribbons)
2. One-Line Introduction
A professional trend-analysis indicator that blends an advanced noise-filtering algorithm with an EMA ribbon system to extract only the pure bullish/bearish trend while smoothing out market noise.
3. Overall Description (7+ lines)
The Premium EMA Ribbon Filter is more than just a set of EMAs.
It analyzes the structure of a fast, medium, and slow EMA ribbon—along with the spacing and alignment between them—to determine whether the market is in a bullish trend, bearish trend, or a neutral/noise-heavy zone.
The core of this indicator is its noise-reduction algorithm and trend-strength calculation system.
Instead of relying on simple EMA cross signals, it evaluates how consistently the ribbon maintains bullish/bearish alignment over a specified period and highlights only strong trends with color coding, while weak or noisy areas are displayed in gray.
This helps traders avoid confusing or false signals and clearly focus only on the “meaningful zones.”
A Triple-Smoothing System is applied to create smoother, more refined ribbon movements, forming a stable “premium trend curve” that is less affected by short-term volatility.
As a result, this indicator works effectively for scalping, swing trading, and long-term trend following—staying true to the principle of removing noise and highlighting only the core market flow.
4. Short Advantages (6 items)
① Complete Noise Filtering
Using EMA ribbon comparison + tolerance logic, false reversals are largely eliminated, leaving only stable trend phases.
② Highly Readable Color System
Bullish trends are mint, bearish trends are red, and neutral/noise zones are gray—instantly visualizing market conditions.
③ Trend Strength Visualization
Not only trend direction but also trend strength is displayed via dynamic color transparency.
④ Smooth, Premium-Style Ribbon Design
Triple-smoothing creates a refined, luxury-level smoothness in movement.
⑤ Works Across All Timeframes
From 1-minute scalping to daily/weekly macro trend analysis.
⑥ Excellent Real-Trading Compatibility
Works extremely well when combined with ATR, SuperTrend, and volume-based indicators.
Indicator Manual (Required Section)
📌 Understanding the Core Concept
The indicator uses three EMAs (e.g., 20/50/100) arranged as a ribbon to analyze the structural alignment of the trend.
When the EMAs are cleanly aligned Top → Middle → Bottom, the market is in a bullish trend.
When aligned Bottom → Middle → Top, the market is in a bearish trend.
The indicator further evaluates the ribbon spread (gap) and the consistency of alignment to compute trend strength.
Noisy market conditions are shaded gray to clearly indicate “uncertain/indecisive” zones.
⚙️ Settings Description
Option Description
Fast EMA Most sensitive EMA; detects early trend signals
Mid EMA Stabilizes the primary trend direction
Slow EMA Defines the broader, long-term trend flow
Trend Lookback The period used to analyze trend strength
Noise Tolerance (%) Higher values = stronger noise removal
Smoothing Steps Controls how smooth the ribbon becomes
📈 Example Recognition
A bullish continuation/entry scenario forms when:
EMAs align in the order Fast → Mid → Slow (top side)
Ribbon color shifts into mint (strong bullish trend)
The ribbon begins to expand while price stays above the ribbon
📉 Example Recognition
A bearish continuation/entry occurs when:
EMAs align Fast → Mid → Slow (bottom side)
Ribbon color remains red
After contracting, the ribbon expands again during renewed downside strength
🧪 Recommended Usage
Combine with volume-based indicators (OBV, Volume Profile) → enhanced strong-trend detection
Use with SuperTrend or ATR Stop → clearer stop-loss placement
Combine with RSI/Stoch → avoid counter-trend entries in overheated conditions
Higher leverage traders should use higher tolerance settings
🔒 Cautions
EMA ribbons are trend-following tools; signals may weaken in ranging/sideways markets.
Never rely solely on this indicator—always confirm with volume, price patterns, or structure.
Very low Lookback values may cause excessive re-entry signals.
In high-volatility environments, ribbon spacing can contract/expand rapidly—use with caution.
ICT Key Levels: PDH / PDL / Daily Open//@version=5
indicator("ICT Key Levels: PDH / PDL / Daily Open", shorttitle="ICT Levels", overlay=true)
// --- Inputs
showPD = input.bool(true, "Mostrar PDH/PDL")
showOpen = input.bool(true, "Mostrar Daily Open")
pdhColor = input.color(color.new(color.green, 0), "Color PDH")
pdlColor = input.color(color.new(color.red, 0), "Color PDL")
openColor = input.color(color.new(color.orange, 0), "Color Daily Open")
lineWidth = input.int(1, "Ancho líneas", minval=1, maxval=4)
// --- Previous day high / low (using daily security)
pdh = request.security(syminfo.tickerid, "D", high )
pdl = request.security(syminfo.tickerid, "D", low )
// --- Daily open (current day's open on Daily timeframe)
dailyOpen = request.security(syminfo.tickerid, "D", open)
// --- Plots
plot(showPD and not na(pdh) ? pdh : na, title="PDH", color=pdhColor, linewidth=lineWidth, style=plot.style_line)
plot(showPD and not na(pdl) ? pdl : na, title="PDL", color=pdlColor, linewidth=lineWidth, style=plot.style_line)
plot(showOpen and not na(dailyOpen) ? dailyOpen : na, title="Daily Open", color=openColor, linewidth=lineWidth, style=plot.style_line)
// --- Optional: etiquetas en inicio de día (solo en la primera barra diaria)
isNewDay = ta.change(time("D"))
labelNewDayOpen = input.bool(true, "Mostrar etiqueta en apertura diaria")
if labelNewDayOpen and isNewDay
label.new(bar_index, dailyOpen, text="Open", style=label.style_label_down, color=color.new(openColor,50), textcolor=color.black, yloc=yloc.price)
My script//@version=5
indicator("LTF Multi-Condition BUY Signal (v5 clean)", overlay=true, max_labels_count=100, max_lines_count=100)
// ───────────────── INPUTS ─────────────────
pivot_len = input.int(4, "Pivot sensitivity (structure)", minval=2, maxval=12)
range_len = input.int(20, "Range lookback for breakout", minval=5)
htf_tf = input.timeframe("480", "HTF timeframe (8H+)")
reclaim_window = input.int(5, "Reclaim window (bars)", minval=1)
ema_fast_len = input.int(9, "EMA fast length")
ema_slow_len = input.int(21, "EMA slow length")
rsi_len = input.int(14, "RSI length")
rsi_pivot_len = input.int(4, "RSI pivot sensitivity")
rsi_div_lookback = input.int(30, "RSI divergence max lookback (bars)")
daily_vol_mult = input.float(1.0, "Daily volume vs SMA multiplier", step=0.1)
htf_vol_sma_len = input.int(20, "HTF volume SMA length")
require_reclaim = input.bool(true, "Require HTF reclaim")
use_aggressive_HL = input.bool(false, "Aggressive HL detection")
// ───────────────── BASE INDICATORS ─────────────────
emaFast = ta.ema(close, ema_fast_len)
emaSlow = ta.ema(close, ema_slow_len)
rsiVal = ta.rsi(close, rsi_len)
// ───────────────── DAILY CHECKS (VOLUME & OBV) ─────────────────
// Daily OBV and previous value
daily_obv = request.security(syminfo.tickerid, "D",
ta.cum(ta.change(close) > 0 ? volume : ta.change(close) < 0 ? -volume : 0))
daily_obv_prev = request.security(syminfo.tickerid, "D",
ta.cum(ta.change(close) > 0 ? volume : ta.change(close) < 0 ? -volume : 0) )
// Daily volume & SMA
daily_vol = request.security(syminfo.tickerid, "D", volume)
daily_vol_sma = request.security(syminfo.tickerid, "D", ta.sma(volume, 20))
daily_vol_ok = not na(daily_vol) and not na(daily_vol_sma) and daily_vol > daily_vol_sma * daily_vol_mult
daily_obv_ok = not na(daily_obv) and not na(daily_obv_prev) and daily_obv > daily_obv_prev
// ───────────────── HTF SUPPORT / RECLAIM ─────────────────
htf_high = request.security(syminfo.tickerid, htf_tf, high)
htf_low = request.security(syminfo.tickerid, htf_tf, low)
htf_close = request.security(syminfo.tickerid, htf_tf, close)
htf_volume = request.security(syminfo.tickerid, htf_tf, volume)
htf_vol_sma = request.security(syminfo.tickerid, htf_tf, ta.sma(volume, htf_vol_sma_len))
htf_bull_reject = not na(htf_high) and not na(htf_low) and not na(htf_close) and (htf_close - htf_low) > (htf_high - htf_close)
htf_vol_confirm = not na(htf_volume) and not na(htf_vol_sma) and htf_volume > htf_vol_sma
htf_support_level = (htf_bull_reject and htf_vol_confirm) ? htf_low : na
// Reclaim: LTF close back above HTF support within N bars
reclaimed_now = not na(htf_support_level) and close > htf_support_level and ta.barssince(close <= htf_support_level) <= reclaim_window
htf_reclaim_ok = require_reclaim ? reclaimed_now : true
// ───────────────── STRUCTURE: BOS & HL (CoC) ─────────────────
swingHighVal = ta.pivothigh(high, pivot_len, pivot_len)
swingLowVal = ta.pivotlow(low, pivot_len, pivot_len)
swingHighCond = not na(swingHighVal)
swingLowCond = not na(swingLowVal)
lastSwingHigh = ta.valuewhen(swingHighCond, swingHighVal, 0)
prevSwingHigh = ta.valuewhen(swingHighCond, swingHighVal, 1)
lastSwingLow = ta.valuewhen(swingLowCond, swingLowVal, 0)
prevSwingLow = ta.valuewhen(swingLowCond, swingLowVal, 1)
bos_bull = not na(prevSwingHigh) and close > prevSwingHigh
hl_confirm = not na(lastSwingLow) and not na(prevSwingLow) and lastSwingLow > prevSwingLow and ta.barssince(swingLowCond) <= 30
if use_aggressive_HL
hl_confirm := hl_confirm or (low > low and ta.barssince(swingLowCond) <= 12)
// ───────────────── RSI BULLISH DIVERGENCE ─────────────────
rsiLowVal = ta.pivotlow(rsiVal, rsi_pivot_len, rsi_pivot_len)
rsiLowCond = not na(rsiLowVal)
priceAtRsiLowA = ta.valuewhen(rsiLowCond, low , 0)
priceAtRsiLowB = ta.valuewhen(rsiLowCond, low , 1)
rsiLowA = ta.valuewhen(rsiLowCond, rsiVal , 0)
rsiLowB = ta.valuewhen(rsiLowCond, rsiVal , 1)
rsi_div_ok = not na(priceAtRsiLowA) and not na(priceAtRsiLowB) and not na(rsiLowA) and not na(rsiLowB) and
(priceAtRsiLowA < priceAtRsiLowB) and (rsiLowA > rsiLowB) and ta.barssince(rsiLowCond) <= rsi_div_lookback
// ───────────────── RANGE BREAKOUT ─────────────────
range_high = ta.highest(high, range_len)
range_breakout = ta.crossover(close, range_high)
// ───────────────── EMA CROSS / TREND ─────────────────
ema_cross_happened = ta.crossover(emaFast, emaSlow)
ema_trend_ok = emaFast > emaSlow
// ───────────────── FINAL BUY CONDITION ─────────────────
all_price_checks = bos_bull and hl_confirm and rsi_div_ok and range_breakout
all_filter_checks = ema_trend_ok and ema_cross_happened and daily_vol_ok and daily_obv_ok and htf_reclaim_ok
buy_condition = all_price_checks and all_filter_checks
// ───────────────── PLOTS & ALERT ─────────────────
plotshape(
buy_condition,
title = "BUY Signal",
location = location.belowbar,
style = shape.labelup,
text = "BUY",
textcolor = color.white,
color = color.green,
size = size.small)
plot(htf_support_level, title="HTF Support", color=color.new(color.green, 0), linewidth=2, style=plot.style_linebr)
alertcondition(buy_condition, title="LTF BUY Signal", message="LTF BUY Signal on {{ticker}} ({{interval}}) — all conditions met")
ORB indicatorthis indicator marks out the first 15 min high and low on the candle that opens in each session, very easy to read and minimalist
Regime [CHE] Regime — Minimal HTF MACD histogram regime marker with a simple rising versus falling state.
Summary
Regime is a lightweight overlay that turns a higher-timeframe-style MACD histogram condition into a simple regime marker on your chart. It queries an imported core module to determine whether the histogram is rising and then paints a consistent marker color based on that boolean state. The output is intentionally minimal: no lines, no panels, no extra smoothing visuals, just a repeated marker that reflects the current regime. This makes it useful as a quick context filter for other signals rather than a standalone system.
Motivation: Why this design?
A common problem in discretionary and systematic workflows is clutter and over-interpretation. Many regime tools draw multiple plots, which can distract from price structure. This script reduces the regime idea to one stable question: is the MACD histogram rising under a given preset and smoothing length. The core logic is delegated to a shared module to keep the indicator thin and consistent across scripts that rely on the same definition.
What’s different vs. standard approaches?
Reference baseline: A standard MACD histogram plotted in a separate pane with manual interpretation.
Architecture differences:
Uses a shared library call for the regime decision, rather than re-implementing MACD logic locally.
Uses a single boolean output to drive marker color, rather than plotting histogram bars.
Uses fixed marker placement at the bottom of the chart for consistent visibility.
Practical effect:
You get a persistent “context layer” on price without dedicating a separate pane or reading histogram amplitude. The chart shows state, not magnitude.
How it works (technical)
1. The script imports `chervolino/CoreMACDHTF/2` and calls `core.is_hist_rising()` on each bar.
2. Inputs provide the source series, a preset string for MACD-style parameters, and a smoothing length used by the library function.
3. The library returns a boolean `rising` that represents whether the histogram is rising according to the library’s internal definition.
4. The script maps that boolean to a color: yellow when rising, blue otherwise.
5. A circle marker is plotted on every bar at the bottom of the chart, colored by the current regime state. Only the most recent five hundred bars are displayed to limit visual load.
Notes:
The exact internal calculation details of `core.is_hist_rising()` are not shown in this code. Any higher timeframe mechanics, security usage, or confirmation behavior are determined by the imported library. (Unknown)
Parameter Guide
Source — Selects the price series used by the library call — Default: close — Tips: Use close for consistency; alternate sources may shift regime changes.
Preset — Chooses parameter preset for the library’s MACD-style configuration — Default: 3,10,16 — Trade-offs: Faster presets tend to flip more often; slower presets tend to react later.
Smoothing Length — Controls smoothing used inside the library regime decision — Default: 21 — Bounds: minimum one — Trade-offs: Higher values typically reduce noise but can delay transitions. (Library behavior: Unknown)
Reading & Interpretation
Yellow markers indicate the library considers the histogram to be rising at that bar.
Blue markers indicate the library considers it not rising, which may include falling or flat conditions depending on the library definition. (Unknown)
Because markers repeat on every bar, focus on transitions from one color to the other as regime changes.
This tool is best read as context: it does not express strength, only direction of change as defined by the library.
Practical Workflows & Combinations
Trend following:
Use yellow as a condition to allow long-side entries and blue as a condition to allow short-side entries, then trigger entries with your primary setup such as structure breaks or pullback patterns. (Optional)
Exits and stops:
Consider tightening management after a color transition against your position direction, but do not treat a single flip as an exit signal without price-based confirmation. (Optional)
Multi-asset and multi-timeframe:
Keep `Source` consistent across assets.
Use the slower preset when instruments are noisy, and the faster preset when you need earlier context shifts. The best transferability depends on the imported library’s behavior. (Unknown)
Behavior, Constraints & Performance
Repaint and confirmation:
This script itself uses no forward-looking indexing and no explicit closed-bar gating. It evaluates on every bar update.
Any repaint or confirmation behavior may come from the imported library. If the library uses higher timeframe data, intrabar updates can change the state until the higher timeframe bar closes. (Unknown)
security and HTF:
Not visible here. The library name suggests HTF behavior, but the implementation is not shown. Treat this as potentially higher-timeframe-driven unless you confirm the library source. (Unknown)
Resources:
No loops, no arrays, no heavy objects. The plotting is one marker series with a five hundred bar display window.
Known limits:
This indicator does not convey histogram magnitude, divergence, or volatility context.
A binary regime can flip in choppy phases depending on preset and smoothing.
Sensible Defaults & Quick Tuning
Starting point:
Source: close
Preset: 3,10,16
Smoothing Length: 21
Tuning recipes:
Too many flips: choose the slower preset and increase smoothing length.
Too sluggish: choose the faster preset and reduce smoothing length.
Regime changes feel misaligned with your entries: keep the preset, switch the source back to close, and tune smoothing length in small steps.
What this indicator is—and isn’t
This is a minimal regime visualization and a context filter. It is not a complete trading system, not a risk model, and not a prediction engine. Use it together with price structure, execution rules, and position management. The regime definition depends on the imported library, so validate it against your market and timeframe before relying on it.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
MACD HTF Hardcoded
CHPY vs Semiconductor Sector Comparison//@version=5
indicator("CHPY vs Semiconductor Sector Comparison", overlay=false, timeframe="W")
// CHPY
chpy = request.security("CHPY", "W", close)
plot((chpy/chpy -1)*100, color=color.new(color.blue,0), title="CHPY")
// SOXX (Semiconductor Index ETF)
soxx = request.security("SOXX", "W", close)
plot((soxx/soxx -1)*100, color=color.new(color.red,0), title="SOXX")
// SMH (Semiconductor ETF)
smh = request.security("SMH", "W", close)
plot((smh/smh -1)*100, color=color.new(color.green,0), title="SMH")
// NVDA
nvda = request.security("NVDA", "W", close)
plot((nvda/nvda -1)*100, color=color.new(color.orange,0), title="NVDA")
// AVGO
avgo = request.security("AVGO", "W", close)
plot((avgo/avgo -1)*100, color=color.new(color.purple,0), title="AVGO")
1 PM IST MarkerThis lightweight Pine Script indicator automatically marks 1:00 PM IST on intraday charts, regardless of the chart’s timezone. It extracts the date from each bar and generates a precise timestamp for 13:00 in the Asia/Kolkata timezone. When a bar matches this time, the script draws a vertical red line across the chart and adds a small label for easy visual reference.
The tool is useful for traders who track mid-session behavior, monitor liquidity shifts, or analyze post-lunch volatility patterns in Indian markets. It works on all intraday timeframes and require
NIFTY, SENSEX AND BANKNIFTY Options Expiry MarkerNSE Options Expiry Background Marker
Category: Date/Time Indicators
Timeframe: Daily
Markets: NSE (India) / Any Exchange
Description
Automatically highlights weekly and monthly options expiry days for NIFTY, BANKNIFTY, and SENSEX using color-coded background shading. Works across entire chart history with customizable transparency levels.
Key Features
✅ Background Highlighting - Non-intrusive color shading on expiry days
✅ Multi-Index Support - NIFTY, BANKNIFTY, and SENSEX simultaneously
✅ Weekly & Monthly Expiry - Different transparency levels for easy distinction
✅ Customizable Expiry Days - Set any weekday (Mon-Fri) as expiry day
✅ Adjustable Transparency - Separate controls for weekly and monthly expiries
✅ Full Historical Data - Works on all visible bars across years
✅ Smart Monthly Detection - Automatically identifies last occurrence in month
✅ Color Coded - Blue (NIFTY), Red (BANKNIFTY), Green (SENSEX)
Use Cases
Options trading strategy planning
Identify expiry day volatility patterns
Visual reference for monthly vs weekly cycles
Backtest strategies around expiry days
Track multiple index expiries on single chart
Technical Details
Uses India timezone (GMT+5:30) for accurate date calculations
Handles leap years automatically
Smart algorithm identifies last weekday occurrence per month
Works seamlessly on any chart timeframe (optimized for Daily)
No performance impact - simple background coloring
Kai GoNoGo 2mKai GoNoGo 2m is a multi-factor trend confirmation system designed for fast intraday trading on the 2-minute chart.
It combines EMAs, MACD, RSI and ADX through a weighted scoring model to generate clear Go / NoGo conditions for both CALL (long) and PUT (short) setups.
The indicator paints the candles with pure colors to show the current strength of the trend:
Strong Go (Bright Blue): Full bullish alignment across EMAs, momentum and trend strength.
Weak Go (Light Blue): Bullish structure but with softer momentum.
Weak NoGo (Light Pink): Bearish structure starting to develop.
Strong NoGo (Bright Pink): Full bearish alignment across all components.
Neutral (Gray): No trend, compression or transition phase.
Components included:
EMA Trend Structure (9/21/50/100/200)
MACD Momentum (12-26-9)
RSI Confirmation (14)
ADX Trend Strength Filter via DMI (14,14)
Scoring system inspired by the original GoNoGo concept, improved for speed-based trading.
Designed for:
Scalping, 0DTE options, FAST trend continuation entries, and momentum confirmation on QQQ, SPY, NQ, ES and high-beta names.
This version uses pure colors (no gradients) for maximum clarity when trading fast charts.
M30-H1It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
經典-M30-H1時間框架indicator("經典-M30-H1時間框架", overlay = true, max_lines_count = 500)
//------------------------------------------------------
// ★★ 水平(模式)★★
//------------------------------------------------------
useClassic = input.bool(true, "經典水平", group = "水平")
useBreakout = input.bool(false, "突破水平", group = "水平")






















