Price Density Strategy ScoreBased on the rules we defined, a composite score (-3 to +3) is calculated and displayed as colored bars below the chart:
Dark green (+3): Strong buy signal
Light green (+1, +2): Mildly bullish
Gray (0): Neutral
Light red (-1, -2): Mildly bearish
Dark red (-3): Strong sell signal
根据我们定义的规则，计算一个综合分数（-3 到 +3），并在图表下方用不同颜色的柱状图显示出来：
深绿色 (+3)：强力买入信号
浅绿色 (+1, +2)：温和看涨
灰色 (0)：中性
浅红色 (-1, -2)：温和看跌
深红色 (-3)：强力卖出信号
Indicators and strategies
📈 Smart Alert System — EMA/MA/Volume/SMC AlertsHere's a detailed description of your custom TradingView **Pine Script v6**:
---
### 📌 **Title**: Smart Alert System — Webhook Ready (with EMA, MA, Volume, and SMC)
This script is designed to **monitor price behavior**, detect important **technical analysis events**, and **send real-time alerts via webhook to a Telegram bot**.
---
## 🔧 SETTINGS
| Setting | Description |
| ----------------------- | ------------------------------------------------------------------------------ |
| `volumeSpikeMultiplier` | Multiplier to determine a volume spike compared to the 20-bar average volume |
| `testAlert` | If `true`, sends a test alert when the indicator is first applied to the chart |
---
## 🔍 COMPONENT BREAKDOWN
### 1. **EMA & MA Calculations**
These indicators are calculated and plotted on the chart:
* **EMAs**: 13, 25, 30, 200 — used for trend and touch detection
* **MAs**: 100, 300 — used for break and retest detection
```pinescript
ema_13 = ta.ema(close, 13)
ema_200 = ta.ema(close, 200)
ma_100 = ta.sma(close, 100)
```
---
### 2. **📈 Volume Spike Detection**
* A volume spike is identified when the current bar's volume is **2x (default)** greater than the 20-period average.
* A red triangle is plotted above such candles.
* A **JSON alert** is triggered.
```pinescript
volSpike = volume > avgVol * volumeSpikeMultiplier
```
---
### 3. **📊 EMA Touch Alerts**
* The script checks if the current close is:
* Within 0.1% of an EMA value **OR**
* Has crossed above/below it.
* If so, it sends an alert with the EMA name.
```pinescript
touch(val, crossed) =>
math.abs(close - val) / val < 0.001 or crossed
```
---
### 4. **📉 MA Break and Retest Alerts**
* A **break** is when price falls **below** a moving average.
* A **retest** is when price climbs **above** the same average after breaking below.
```pinescript
breakBelow(ma) => close > ma and close < ma
```
---
### 5. 🧠 **SMC Alerts (Break of Structure \ & Change of Character \ )**
These follow **Smart Money Concepts (SMC)**. The script identifies:
* **BOS**: New higher high in uptrend or lower low in downtrend
* **CHOCH**: Opposite of trend, e.g. lower low in uptrend or higher high in downtrend
```pinescript
bos = (high > high ) and (low > low ) and (low > low )
choch = (low < low ) and (high < high ) and (high < high )
```
---
### 6. 🧪 Dummy Test Alert (1-time fire)
* Sends a `"✅ Test Alert Fired"` to verify setup
* Executes **once only** after adding the indicator
```pinescript
var bool sentTest = false
if testAlert and not sentTest
```
---
### 7. 🚀 Alert Delivery (Webhook JSON)
All alerts are sent as a JSON payload that looks like this:
```json
{
"pair": "BTCUSD",
"event": "🔺 Volume Spike",
"timeframe": "15",
"timestamp": "2024-06-29T12:00:00Z",
"volume": "654000"
}
```
This format makes it compatible with your **Telegram webhook server**.
---
### 🔔 Alerts You Can Create in TradingView
* Set **Webhook URL** to your `https://xxxx.ngrok-free.app/tradingview-webhook`
* Use alert condition: `"Any alert()`" — because all logic is internal.
* Select **"Webhook URL"** and leave the message body blank.
---
### 🛠️ Use Cases
* Notify yourself on **EMA interaction**
* Detect **trend shifts or retests**
* Spot **volume-based market interest**
* Get real-time **BOS/CHOCH alerts** for Smart Money strategies
* Alert through **Telegram using your Node.js webhook server**
---
Would you like me to break down the full Pine Script block-by-block as well?
FAWAZ CAPITAL Multi-Confluence Scalping SystemFOLLOW THE INDICATOR
Free to use for now
Fawaz Capital
MACD GPIntroducing the MACD GP Indicator: Experience Enhanced Trading Signals
The MACD GP indicator is a customized version of the Moving Average Convergence Divergence (MACD), specifically designed to help traders capitalize on state shifts for clearer and more actionable signals.
This innovative tool highlights critical trading opportunities by visually representing changes in the MACD's state, specifically focusing on:
Color Changes: Instantly recognize shifts in momentum and trend direction as the indicator's visual representation changes color.
Position Relative to the Zero Line: Clearly identify bullish or bearish sentiment as the indicator moves above or below the zero line, providing a decisive signal for potential entry and exit points.
With the MACD GP , you'll gain a more intuitive understanding of market dynamics, allowing you to react swiftly and confidently to emerging trends. Streamline your trading decisions and enhance your analytical edge with this powerful, customized MACD indicator.
All in one V2.3 [NMTUAN]Introducing All-in-one V2.3 : Your Complete Trading Compass!
Are you searching for a single, powerful trading system that offers a holistic view of the market and pinpoints optimal entry and exit points? Look no further than All-in-one V2.3 , the meticulously refined indicator system developed by author Nguyễn Minh Tuấn. This comprehensive solution is designed to empower traders with everything they need to navigate any financial market, on any timeframe.
All-in-one V2.3 integrates a full suite of essential trading tools, providing you with unparalleled clarity and precision:
Advanced Trend Identification: Get a crystal-clear understanding of market direction. Our system's sophisticated trend indicators help you cut through the noise, ensuring you're always aligned with the prevailing market momentum.
Dynamic Support & Resistance: Say goodbye to guesswork. All-in-one V2.3 accurately identifies dynamic support and resistance levels, giving you critical insights into potential price turning points for strategic decision-making.
Comprehensive Market Insights: From market sentiment to volatility, this system offers a panoramic view of the market's underlying dynamics. You'll gain a deeper understanding of what's driving price action, enabling more informed trades.
The true power of All-in-one V2.3 lies in its versatility and comprehensive nature. It's engineered to adapt to your trading style and preferences, making it ideal for:
Any Financial Product: Whether you trade stocks, forex, commodities, cryptocurrencies, or indices, All-in-one V2.3 provides relevant and actionable insights across the board.
Any Timeframe: From scalping on minute charts to long-term investing on daily or weekly charts, the system seamlessly adjusts to your preferred trading horizon.
With All-in-one V2.3 , you're not just getting a collection of indicators; you're gaining a fully integrated trading environment that helps you:
See the Big Picture: Understand how various market forces are interacting.
Choose Optimal Entry/Exit Points: Confidently identify when to enter and exit trades for maximum potential.
Simplify Your Analysis: Reduce clutter and focus on what truly matters for profitable trading.
Empower your trading with All-in-one V2.3 and experience market clarity like never before.
Ready to elevate your trading journey?
MAGICAL 50 LINEIndicator Magical Line
This is bottom finishing identification indicator which will gives a quick entry and profit area booking.
Use with RSI 14, 32
HMA lines shows an reversal identification while line make us an entry
When RSI below 40 and cross above 32 you can see a HMA also cross over and will give you entry points
MACD Triple divergence signalsThis script is a basic combination of several scripts that I found very useful. It's a MACD divergence on steroids. Instead of using only one plot as a source for detecting divergence, I use all of the plots.
The idea is that if more divergence signals appear—especially after a prolonged downtrend or uptrend—they can be interpreted as a strong divergence signal.
The third divergence signal is taken from the MACD signal line. It has a longer-term lookback range, which could provide a more reliable divergence signal.
The default minimum lookback range is 15, much greater than the usual value of 5. This makes it more suitable for long-term trading or for lower timeframes (lower than 4H) to reduce noise from excessive signals. For timeframes higher than 4H, the setting can be reduced to around 10 or even 5.
For the 1W (weekly) timeframe, try using a value of 3.
I also added a band to give a clear visual of overbought and oversold areas. It works similarly to Bollinger Bands (BB). You can spot when the price is ranging or when a stop-loss hunt occurs (i.e., the price breaks the band).
Please do your homework—backtest it yourself to find which timeframe suits you best. You can also tweak the settings if you find the default values too aggressive or too mild.
I’ve found that MACD is more reliable on timeframes greater than 1H. Personally, I use it on the 4H and 1D timeframes.
in bahasa:
MACD dengan 3 sinyal divergence, kalau muncul lebih banyak, bisa jadi sinyal lebih menyakinkan.
Minimum lookback range default-nya 15 agar tidak muncul terlalu banyak sinyal. 15 lebih panjang, lebih ok. Kalau main di higher timeframe seperti 1D, bisa 5-10, kalau weeky timeframe = 3.
Untuk band, cek ketika plot-nya keluar dari band, itu bisa jadi jackpot, apalagi kalau plot-nya membentuk double bottom.
Backtest sendiri, siapa tahu kalian bisa dapet setting sendiri.
MACD with upper and lower band will give you a clear visual of price movements
More divergence signals are generated and when the price breaks out of the oversold band = jackpot.
Amavasya High Lows"This script plots Higher Highs and Lower Lows following each Amavasya trading date."
Zero Lag Trend Signals (MTF) [AlgoAlpha]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © AlgoAlpha
//@version=5
indicator("Zero Lag Trend Signals (MTF) ", shorttitle="AlgoAlpha - 0️⃣Zero Lag Signals", overlay=true)
length = input.int(70, "Length", tooltip = "The Look-Back window for the Zero-Lag EMA calculations", group = "Main Calculations")
mult = input.float(1.2, "Band Multiplier", tooltip = "This value controls the thickness of the bands, a larger value makes the indicato less noisy", group = "Main Calculations")
t1 = input.timeframe("5", "Time frame 1", group = "Extra Timeframes")
t2 = input.timeframe("15", "Time frame 2", group = "Extra Timeframes")
t3 = input.timeframe("60", "Time frame 3", group = "Extra Timeframes")
t4 = input.timeframe("240", "Time frame 4", group = "Extra Timeframes")
t5 = input.timeframe("1D", "Time frame 5", group = "Extra Timeframes")
green = input.color(#00ffbb, "Bullish Color", group = "Appearance")
red = input.color(#ff1100, "Bearish Color", group = "Appearance")
src = close
lag = math.floor((length - 1) / 2)
zlema = ta.ema(src + (src - src ), length)
volatility = ta.highest(ta.atr(length), length*3) * mult
var trend = 0
if ta.crossover(close, zlema+volatility)
trend := 1
if ta.crossunder(close, zlema-volatility)
trend := -1
zlemaColor = trend == 1 ? color.new(green, 70) : color.new(red, 70)
m = plot(zlema, title="Zero Lag Basis", linewidth=2, color=zlemaColor)
upper = plot(trend == -1 ? zlema+volatility : na, style = plot.style_linebr, color = color.new(red, 90), title = "Upper Deviation Band")
lower = plot(trend == 1 ? zlema-volatility : na, style = plot.style_linebr, color = color.new(green, 90), title = "Lower Deviation Band")
fill(m, upper, (open + close) / 2, zlema+volatility, color.new(red, 90), color.new(red, 70))
fill(m, lower, (open + close) / 2, zlema-volatility, color.new(green, 90), color.new(green, 70))
plotshape(ta.crossunder(trend, 0) ? zlema+volatility : na, "Bearish Trend", shape.labeldown, location.absolute, red, text = "▼", textcolor = chart.fg_color, size = size.small)
plotshape(ta.crossover(trend, 0) ? zlema-volatility : na, "Bullish Trend", shape.labelup, location.absolute, green, text = "▲", textcolor = chart.fg_color, size = size.small)
plotchar(ta.crossover(close, zlema) and trend == 1 and trend == 1 ? zlema-volatility*1.5 : na, "Bullish Entry", "▲", location.absolute, green, size = size.tiny)
plotchar(ta.crossunder(close, zlema) and trend == -1 and trend == -1 ? zlema+volatility*1.5 : na, "Bearish Entry", "▼", location.absolute, red, size = size.tiny)
s1 = request.security(syminfo.tickerid, t1, trend)
s2 = request.security(syminfo.tickerid, t2, trend)
s3 = request.security(syminfo.tickerid, t3, trend)
s4 = request.security(syminfo.tickerid, t4, trend)
s5 = request.security(syminfo.tickerid, t5, trend)
s1a = s1 == 1 ? "Bullish" : "Bearish"
s2a = s2 == 1 ? "Bullish" : "Bearish"
s3a = s3 == 1 ? "Bullish" : "Bearish"
s4a = s4 == 1 ? "Bullish" : "Bearish"
s5a = s5 == 1 ? "Bullish" : "Bearish"
if barstate.islast
var data_table = table.new(position=position.top_right, columns=2, rows=6, bgcolor=chart.bg_color, border_width=1, border_color=chart.fg_color, frame_color=chart.fg_color, frame_width=1)
table.cell(data_table, text_halign=text.align_center, column=0, row=0, text="Time Frame", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=0, text="Signal", text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=0, row=1, text=t1, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=1, text=s1a, text_color=chart.fg_color, bgcolor=s1a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=2, text=t2, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=2, text=s2a, text_color=chart.fg_color, bgcolor=s2a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=3, text=t3, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=3, text=s3a, text_color=chart.fg_color, bgcolor=s3a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=4, text=t4, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=4, text=s4a, text_color=chart.fg_color, bgcolor=s4a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
table.cell(data_table, text_halign=text.align_center, column=0, row=5, text=t5, text_color=chart.fg_color)
table.cell(data_table, text_halign=text.align_center, column=1, row=5, text=s5a, text_color=chart.fg_color, bgcolor=s5a == "Bullish" ? color.new(green, 70) : color.new(red, 70))
/////////////////////////////////////////ALERTS FOR SMALL ARROWS (ENTRY SIGNALS)
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry Signal",
message="Bullish Entry Signal detected. Consider entering a long position.")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry Signal",
message="Bearish Entry Signal detected. Consider entering a short position.")
/////////////////////////////////////////ALERTS FOR TREND CONDITIONS
alertcondition(ta.crossover(trend, 0), "Bullish Trend")
alertcondition(ta.crossunder(trend, 0), "Bearish Trend")
alertcondition(ta.cross(trend, 0), "(Bullish or Bearish) Trend")
alertcondition(ta.crossover(s1, 0), "Bullish Trend Time Frame 1")
alertcondition(ta.crossunder(s1, 0), "Bearish Trend Time Frame 1")
alertcondition(ta.cross(s1, 0), "(Bullish or Bearish) Trend Time Frame 1")
alertcondition(ta.crossover(s2, 0), "Bullish Trend Time Frame 2")
alertcondition(ta.crossunder(s2, 0), "Bearish Trend Time Frame 2")
alertcondition(ta.cross(s2, 0), "(Bullish or Bearish) Trend Time Frame 2")
alertcondition(ta.crossover(s3, 0), "Bullish Trend Time Frame 3")
alertcondition(ta.crossunder(s3, 0), "Bearish Trend Time Frame 3")
alertcondition(ta.cross(s3, 0), "(Bullish or Bearish) Trend Time Frame 3")
alertcondition(ta.crossover(s4, 0), "Bullish Trend Time Frame 4")
alertcondition(ta.crossunder(s4, 0), "Bearish Trend Time Frame 4")
alertcondition(ta.cross(s4, 0), "(Bullish or Bearish) Trend Time Frame 4")
alertcondition(ta.crossover(s5, 0), "Bullish Trend Time Frame 5")
alertcondition(ta.crossunder(s5, 0), "Bearish Trend Time Frame 5")
alertcondition(ta.cross(s5, 0), "(Bullish or Bearish) Trend Time Frame 5")
alertcondition(ta.crossover(close, zlema) and trend == 1 and trend == 1, "Bullish Entry")
alertcondition(ta.crossunder(close, zlema) and trend == -1 and trend == -1, "Bearish Entry")
bullishAgreement = s1 == 1 and s2 == 1 and s3 == 1 and s4 == 1 and s5 == 1
bearishAgreement = s1 == -1 and s2 == -1 and s3 == -1 and s4 == -1 and s5 == -1
alertcondition(bullishAgreement, "Full Bullish Agreement", message="All timeframes agree on bullish trend.")
alertcondition(bearishAgreement, "Full Bearish Agreement", message="All timeframes agree on bearish trend.")
2-Year MA + Scaled + % OffsetGives you a reliable channel to gauge macro tops and bottoms for Bitcoin.
🔁 EMA 3/21 Crossover Strategy — Exit on Opposite SignalEMA 3/21 Crossover Strategy — Exit on Opposite Signal
This strategy enters trades based on a crossover between two exponential moving averages:
Buy Entry: When the 3-period EMA crosses above the 21-period EMA
Sell Entry: When the 3-period EMA crosses below the 21-period EMA
Exit Rule: Positions are exited only when an opposite signal occurs (i.e., a new crossover in the other direction)
Key Features:
Designed for trend-following setups
Uses ATR-based SL/TP lines for visual reference only (trades do not auto-close at SL/TP)
Suitable for manual or automated trading logic with high trade clarity
Can be applied on any timeframe and any liquid instrument (Forex, crypto, indices, etc.)
Recommended Use:
Combine with volume or session filters for improved signal quality
Ideal for traders seeking clear entry/exit rules with minimal noise
Best on trending instruments and medium timeframes (USDJPY; Daily)
Fractal Manipulation Projections [keypoems]Fractal Manipulation Projections 0-30 minutes
This study draws statistical hourly rails that help visualize how far price normally travels during the first half‑hour of each hour.
How it works
On the first bar of every clock hour (New York time) the script records the hourly open.
It then looks up the historical mean (μ) and standard deviations (σ) of (open - low for bearish| high - open for bullish candles) of the first 5 / 10 / 15 / 20 / 25 / 30‑minute candle that followed that open.
Lines are plotted at ±0.5 σ, ±1 σ and ±1.5 σ above and below the open; optional polylines or smooth curves can connect equal‑σ levels.
A small on‑chart table shows the current ±1.5 σ ranges for quick reference.
Data set
Pre‑computed distributions were built from 1‑minute CME Nasdaq‑100 futures (NQ1!) data:
2020‑present for all other hours (default).
2010‑present for the 02:00 hour (optional toggle).
No external data or HTTP requests are used; the script is fully self‑contained.
Inputs
Select which time‑slices (5 m … 30 m) and which σ levels to draw.
Choose straight or Catmull‑Rom curves, colors, line styles, and how many past hours (1‑6) remain visible.
Intended use
These projections do not predict direction or supply trade signals; they simply show where price would lie if it moved a typical ±σ distance from the hourly open. Use them as a contextual volatility gauge alongside your own strategy.
For educational purposes only. Nothing in this script constitutes financial advice. Past performance‑based statistics do not guarantee future results.
ADR% with Alert & Color FlagColor coding when ADR% > 4%
Alert condition when ADR% crosses above 4%
Clean display table
ZY Legend StrategyThe ZY Legend Strategy indicator closely follows the trend of the parity. It produces trading signals in candles where the necessary conditions are met and clearly shows these signals on the chart. Although it was produced for the scalp trade strategy, it works effectively in all time frames. 'DEAD PARITY' signals indicate that healthy signals cannot be generated for the relevant parity due to shallow ATR. It is not recommended to trade on parities where this signal appears.
RSI with Native Alerts//@version=5
indicator("RSI with Native Alerts", shorttitle="RSI Alerts", overlay=false)
// — INPUT
len = input.int(14, title="RSI Length")
// — CÁLCULO RSI
r = ta.rsi(close, len)
// — PLOT RSI y BANDAS
plot(r, title="RSI", color=#7E57C2)
hline(80, title="Overbought", color=color.red, linestyle=hline.style_dashed)
hline(50, title="Middle", color=color.gray, linestyle=hline.style_solid)
hline(20, title="Oversold", color=color.green, linestyle=hline.style_dashed)
// — ALERTAS INTERNAS (usa UNA sola ranura de alerta)
if ta.crossover(r, 80)
alert("🔔 RSI crossed above 80: " + str.tostring(r, format.mintick), alert.freq_once_per_bar)
if ta.crossunder(r, 20)
alert("🔔 RSI crossed below 20: " + str.tostring(r, format.mintick), alert.freq_once_per_bar)
Super Stock Ranking v6 - Rank 1-100Overview:
This powerful indicator is designed to evaluate and rank all stocks across the entire market based on multi-timeframe price performance. It helps traders and investors quickly identify the strongest stocks—those consistently outperforming their peers over various cycles.
Key Features:
RSI Alerts//@version=5
indicator("RSI Alerts", shorttitle="RSI Alerts", overlay=false)
// — INPUT
len = input.int(14, "RSI Length")
// — CÁLCULO
r = ta.rsi(close, len)
// — PLOT RSI Y BANDAS
plot(r, "RSI", color=#7E57C2)
hline(80, "Overbought", color=color.red, linestyle=hline.style_dashed)
hline(50, "Middle", color=color.gray, linestyle=hline.style_solid)
hline(20, "Oversold", color=color.green, linestyle=hline.style_dashed)
// — ALERTAS INTERNAS (usa UNA sola ranura de alerta)
if ta.crossover(r, 80)
alert("🔔 RSI cruzó por encima de 80: " + str.tostring(r, format.mintick), alert.freq_once_per_bar)
if ta.crossunder(r, 20)
alert("🔔 RSI cruzó por debajo de 20: " + str.tostring(r, format.mintick), alert.freq_once_per_bar)
Volumatic Variable Index Dynamic Average [BigBeluga]Strong Buying Power Detector – Indicator Introduction This indicator is designed to identify stocks exhibiting strong buying pressure — a key characteristic of potential market leaders and super-performing stocks. By analyzing volume dynamics,
KY CO KHOEThis powerful custom indicator is designed to help traders identify potential super stocks—those with exceptional momentum, trend alignment, and breakout behavior. By combining multiple proven techniques into a single view, this tool gives you a data-driven edge in spotting high-probability trade setups.
4-Bar Reversal Pattern📌 Title:
4-Bar Reversal Pattern — Multi-Candle Signal Detector
📄 Description:
The 4-Bar Reversal Pattern indicator is a powerful price action tool designed to detect significant market reversal signals based solely on candle structure — no moving averages or indicators involved.
🔍 What it does:
Identifies a unique 4-candle reversal setup:
Long Setup: After 3 consecutive bearish candles, a bullish candle breaks the range (higher high + lower low than the previous bar).
Short Setup: After 3 consecutive bullish candles, a bearish candle breaks the range (lower low + higher high than the previous bar).
Confirms signals only when the current candle closes, increasing signal reliability.
Displays visual labels ("BUY"/"SELL") directly on the chart.
Triggers alerts for long and short setups.
Includes a generic alert option to notify whenever any signal is detected (can be toggled on/off).
⚙️ Customizable Inputs:
Enable/disable generic alert
This indicator is ideal for:
Traders looking for clean, mechanical setups
Price action enthusiasts
Those who trade without lagging indicators
Use it on any timeframe, and combine it with your own filters (RSI, support/resistance, etc.) to refine entries.
Indicator born following the viewing of the following video:
www.youtube.com
GANN_0.09 setup📊 0.09% Zone Indicator for Nifty & BankNifty (Intraday)
This indicator is built specifically for intraday traders on NSE, focusing on Nifty and BankNifty. It identifies key price zones based on the market's first 5-minute candle (9:15–9:20 AM IST) to help traders catch early momentum or set directional bias for the day.
✅ What It Does:
Detects the 9:15–9:20 AM candle on Indian market time.
Plots a Buy Zone and Sell Zone by adjusting the close price of this candle by ±0.09%.
Optionally plots three target levels (TP1, TP2, TP3) above and below this zone using +0.18% extensions.
Levels are drawn only for the current day, keeping your chart clean and focused.
All lines extend forward for 60 bars, perfect for short-term setups.
⚙️ How It Works:
Accurate detection using timestamp("Asia/Kolkata") to isolate the 9:20 AM candle.
Lines are drawn only once per day and reset daily.
A checkbox allows you to toggle target levels on or off.
Works across all timeframes without cluttering the chart.
🧠 Use Cases:
Ideal for scalping or breakout trading right after market open.
Acts as an intraday bias tool:
Price above upper zone = strength.
Price below lower zone = weakness.
Can be used in manual trading or integrated with automated setups.
🌟 Why Traders Like It:
Tailored for Indian markets with accurate time handling.
Uses fixed percentage logic instead of lagging indicators.
No clutter, no distractions — just clean, actionable levels.
No external scripts or dependencies needed.
