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")
Indicators and strategies
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')
Weekday HighlighterThis is a simple indicator that highlights specific weekdays on the chart.
You can choose which weekdays to highlight and optionally use different colors for each day. It is useful for visually separating sessions such as Mondays, Fridays, or any custom trading day you want to focus on.
ただ単に曜日を指定してハイライトするインジです。
ma_PLibrary "ma_P"
This library is made to expand traders moving average arsenal.
sma(src, length)
Parameters:
src (float)
length (simple int)
sma(src, length)
Parameters:
src (float)
length (int)
eit(src)
Parameters:
src (float)
ema(src, length)
Parameters:
src (float)
length (simple int)
ema(src, length)
Parameters:
src (float)
length (int)
ahma(src, length)
Parameters:
src (float)
length (simple int)
ahma(src, length)
Parameters:
src (float)
length (int)
bmf(src, length)
Parameters:
src (float)
length (simple int)
bmf(src, length)
Parameters:
src (float)
length (int)
cma(src, length)
Parameters:
src (float)
length (simple int)
cma(src, length)
Parameters:
src (float)
length (int)
dema(src, length)
Parameters:
src (float)
length (simple int)
dema(src, length)
Parameters:
src (float)
length (int)
dswf(src, length)
Parameters:
src (float)
length (simple int)
dswf(src, length)
Parameters:
src (float)
length (int)
evwma(src, length, volume)
Parameters:
src (float)
length (simple int)
volume (float)
evwma(src, length, volume)
Parameters:
src (float)
length (int)
volume (float)
esd(src, length)
Parameters:
src (float)
length (simple int)
esd(src, length)
Parameters:
src (float)
length (int)
frama(src, length)
Parameters:
src (float)
length (simple int)
frama(src, length)
Parameters:
src (float)
length (int)
flsma(src, len)
Parameters:
src (float)
len (simple int)
flsma(src, len)
Parameters:
src (float)
len (int)
gmma(src, length)
Parameters:
src (float)
length (simple int)
gmma(src, length)
Parameters:
src (float)
length (int)
hcf(src, length)
Parameters:
src (float)
length (simple int)
hcf(src, length)
Parameters:
src (float)
length (int)
hma(src, length)
Parameters:
src (float)
length (simple int)
hma(src, length)
Parameters:
src (float)
length (int)
jma(src, length)
Parameters:
src (float)
length (simple int)
jma(src, length)
Parameters:
src (float)
length (int)
kama(source, length, min_length, max_length)
Parameters:
source (float)
length (int)
min_length (int)
max_length (int)
kijun(src, length)
Parameters:
src (float)
length (simple int)
kijun(src, length)
Parameters:
src (float)
length (int)
lsma(src, length)
Parameters:
src (float)
length (simple int)
lsma(src, length)
Parameters:
src (float)
length (int)
lma(src, length)
Parameters:
src (float)
length (simple int)
lma(src, length)
Parameters:
src (float)
length (int)
mf(src, length)
Parameters:
src (float)
length (simple int)
mf(src, length)
Parameters:
src (float)
length (int)
mm(src, length)
Parameters:
src (float)
length (simple int)
mm(src, length)
Parameters:
src (float)
length (int)
smma(src, length)
Parameters:
src (float)
length (simple int)
smma(src, length)
Parameters:
src (float)
length (int)
ssma(src, length)
Parameters:
src (float)
length (simple int)
ssma(src, length)
Parameters:
src (float)
length (int)
swma(src, length)
Parameters:
src (float)
length (simple int)
swma(src, length)
Parameters:
src (float)
length (int)
tma(src, length)
Parameters:
src (float)
length (simple int)
tma(src, length)
Parameters:
src (float)
length (int)
tema(src, length)
Parameters:
src (float)
length (simple int)
tema(src, length)
Parameters:
src (float)
length (int)
tsf(src, length)
Parameters:
src (float)
length (simple int)
tsf(src, length)
Parameters:
src (float)
length (int)
varma(src, length)
Parameters:
src (float)
length (simple int)
varma(src, length)
Parameters:
src (float)
length (int)
vama(src, length)
Parameters:
src (float)
length (simple int)
vama(src, length)
Parameters:
src (float)
length (int)
vma(src, length)
Parameters:
src (float)
length (simple int)
vma(src, length)
Parameters:
src (float)
length (int)
vbma(src, length)
Parameters:
src (float)
length (simple int)
vbma(src, length)
Parameters:
src (float)
length (int)
vida(src, length)
Parameters:
src (float)
length (simple int)
vida(src, length)
Parameters:
src (float)
length (int)
qma(src, length)
Parameters:
src (float)
length (simple int)
qma(src, length)
Parameters:
src (float)
length (int)
rpma(src, len)
Parameters:
src (float)
len (simple int)
rpma(src, len)
Parameters:
src (float)
len (int)
rma(src, length)
Parameters:
src (float)
length (simple int)
rma(src, length)
Parameters:
src (float)
length (int)
rsrma(src, length)
Parameters:
src (float)
length (simple int)
rsrma(src, length)
Parameters:
src (float)
length (int)
zlema(src, length)
Parameters:
src (float)
length (simple int)
zlema(src, length)
Parameters:
src (float)
length (int)
selector(src, length, selectMA, min_length, max_length)
This function gives trader an instrument to test different kinds of moving averages on their strategy.
Parameters:
src (float)
length (simple int)
selectMA (string)
min_length (int)
max_length (int)
Returns: user selected moving average
selector(src, length, selectMA, min_length, max_length)
Parameters:
src (float)
length (int)
selectMA (string)
min_length (int)
max_length (int)
iQFFTLibrary "iQFFT"
TODO: add library description here
fft(x, y, dir)
Parameters:
x (array)
y (array)
dir (string)
fftPower(x, y)
Parameters:
x (array)
y (array)
fftFreq(N)
Parameters:
N (int)
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")
Fibonacci Retrace + 50 EMA Hariss 369This indicator combines 3 concepts:
Fibonacci retracement zones
50 EMA trend filter
Price interaction with specific Fib zones to generate Buy/Sell signals
Let’s break everything down in simple language.
1. Fibonacci Retracement Logic
The script finds:
Most recent swing high
Most recent swing low
Using these two points, it draws Fibonacci levels:
Fibonacci Levels Used
Level Meaning Calculation
0% Swing Low recentLow
38.2% Light retracement high - (range × 0.382)
50% Mid retracement high - (range × 0.50)
61.8% Deep retracement high - (range × 0.618)
100% Swing High recentHigh
🔍 Why only these levels?
Because trading signals are generated based ONLY on:38.2%, 50%,61.8%
These 3 levels define the golden retracement zones.
2. Trend Filter — 50 EMA
A powerful rule:
Trend Up (bullish)
➡️ Price > 50 EMA
Trend Down (bearish)
➡️ Price < 50 EMA
This prevents signals against the main trend.
3. BUY Conditions (Retracement + EMA)
A BUY signal appears when:
Price is above the 50 EMA (trend is up)
Price retraces into the BUY ZONE:
🔵 BUY ZONE = between 50% and 38.2% Fibonacci i.e.,close >= Fib50 AND close <= Fib38.2
This means:
Market is trending up
Price corrected to a healthy retracement level
Buyers are stepping back in
📘 Why this zone?
This is a moderate retracement (not too shallow, not too deep).
Smart money often enters at 38.2%–50% in a strong trend.
📘 BUY Signal Appears With:
Green “BUY” label
Green arrow below the candle
4. SELL Conditions (Retracement + EMA)
A SELL signal appears when:
Price is below the 50 EMA (trend is down)
Price retraces upward into the SELL ZONE:
🔴 SELL ZONE = between 50% and 61.8% Fibonacci i.e.,close <= Fib50 AND close >= Fib61.8
This means:
Market is trending down
Price made a pullback
Sellers regain control in the golden zone
📘 Why this zone?
50–61.8 retracement is the ideal bearish pullback level.
📘 SELL Signal Appears With:
Red “SELL” label
Red arrow above the candle
5. STOP-LOSS (SL) RULES
For BUY trades,
Place SL below 61.8% level.SL = Fib 61.8%
OR
more safe:SL = swing low (Fib 0%)
For SELL trades
Place SL above 38.2% level.SL = Fib 38.2%
OR conservative:
SL = swing high (Fib 100%)
6. TAKE-PROFIT (TP) RULES
Based on common Fibonacci extensions.
BUY Trade TP Options
TP Level Meaning
TP1 Return to 38.2% Quick scalping target
TP2 Return to swing high Full trend target
TP3 Breakout above swing high Trend continuation
Practical suggestion:
TP1 = 1× risk
TP2 = 2× risk
TP3 = trailing stop
SELL Trade TP Options
TP Level Meaning
TP1 Return to 61.8% Moderate bounce
TP2 Return to swing low Trend target
TP3 Break below swing low Trend continuation
7. Recommended Trading Plan (Simple)
BUY PLAN
Price > 50 EMA (uptrend)
Enter at BUY signal in 38.2–50% zone
SL at 61.8%
TP at swing high or structure break
SELL PLAN
Price < 50 EMA (downtrend)
Enter at SELL signal in 50–61.8% zone
SL above 38.2%
TP at swing low
🟩 Summary (Very Easy to Remember)
🔵 BUY
Trend: above 50 EMA
Zone: between 50% and 38.2%
SL: below 61.8%
TP: swing high
🔴 SELL
Trend: below 50 EMA
Zone: between 50% and 61.8%
SL: above 38.2%
TP: swing low
4H RSI Buy/Sell BotBelow is a clean TradingView Pine Script v5 bot that analyzes the 4-hour timeframe and triggers alerts based on RSI (even though you mentioned RCI—if you actually need RCI, tell me and I’ll rewrite it)
able zone# able zone
## 📋 Overview
**able zone** is an advanced Support & Resistance zone detection indicator optimized for **15-minute timeframe trading**. It combines Price Action, Volume Profile, and intelligent zone analysis to identify high-probability trading areas with precise entry and exit points.
## 🎯 Core Features
### 1. **Zone Detection Methods**
- **Auto Detect**: Automatically finds the best zones using combined analysis
- **Price Action**: Based on pivot points and price structure
- **Volume Profile**: Identifies High Volume Nodes (HVN) where most trading occurred
- **Combined**: Uses all methods together for comprehensive analysis
### 2. **Zone Types & Colors**
- 🟢 **Support Zones** (Green): Price tends to bounce up from these areas
- 🔴 **Resistance Zones** (Red): Price tends to reverse down from these areas
- 🟣 **HVN Zones** (Purple): High volume areas from Volume Profile
- **Strong Zones**: Darker colors indicate zones with more touches (higher reliability)
### 3. **Zone Strength Indicators**
- **Labels**: "S3" = Support with 3 touches, "R5" = Resistance with 5 touches
- **Touch Count**: More touches = stronger zone
- **Min Touch Count Setting**: Adjust to filter weak zones (default: 3)
## ⚙️ Settings Guide
### **Zone Detection Settings**
- **Detection Method**: Choose your preferred analysis method
- **Lookback Period** (50-500): How many bars to analyze (default: 200)
- For 15min: 200 bars = ~50 hours of data
- Shorter = Recent zones only
- Longer = Historical zones included
- **Min Touch Count** (2-10): Minimum touches to qualify as a zone (default: 3)
- **Zone Thickness %** (0.1-2.0): How thick the zones appear (default: 0.5)
- Based on ATR for dynamic sizing on 15min chart
### **Zone Colors**
Fully customizable colors for:
- Support Zone (default: Green)
- Resistance Zone (default: Red)
- Strong Support/Resistance (darker shades)
- Volume Profile Zone (default: Purple)
### **Zone Touch Detection**
- **Enable Touch Alerts**: Get notifications when price enters zones
- **Touch Distance %** (0.1-1.0): How close to zone counts as "touch" (default: 0.3%)
- On 15min chart, this gives early warning signals
- **Show Touch Markers**: Visual indicators when price touches zones
- 🔺 = Support touch (potential buy)
- 🔻 = Resistance touch (potential sell)
- 💎 = HVN touch (watch for breakout/rejection)
### **Volume Profile Integration**
- **Show VP Zones**: Display high volume node zones
- **VP Resolution** (20-50): Number of price levels analyzed (default: 30)
- **POC Line** (orange): Point of Control - highest volume price level
- **POC Width**: Line thickness (1-3)
- **Show HVN**: Display High Volume Node zones
- **HVN Threshold** (0.5-0.9): Volume % to qualify as HVN (default: 0.7)
### **Display Options**
- **Zone Labels**: Show S/R labels with touch count
- **Zone Border Lines**: Dotted lines at zone boundaries
- **Extend Zones Right**: Project zones into future
- **Max Visible Zones** (5-50): Maximum number of zones displayed (default: 20)
- Adjust based on chart clarity needs
- **Info Table**: Real-time information dashboard
## 📊 Info Table Explained
The info table (top-right corner) provides real-time zone analysis:
### **Row 1: ZONE Header**
- Shows current timeframe (15m)
- Total active zones
- "able" branding
### **Row 2: 🎯 TOUCH Status**
- **RES**: Currently touching resistance (⚠️ potential reversal down)
- **SUP**: Currently touching support (🚀 potential bounce up)
- **HVN**: Currently in high volume area (⚡ watch for direction)
- **FREE**: Not near any zone (⏳ wait for setup)
- Progress bar shows proximity strength
- Arrows indicate zone type
### **Row 3: 🟢 SUP - Support Zones**
- Number of active support zones below current price
- Progress bar shows relative quantity
- More support = stronger floor
### **Row 4: 🔴 RES - Resistance Zones**
- Number of active resistance zones above current price
- Progress bar shows relative quantity
- More resistance = stronger ceiling
### **Row 5: 🟣 HVN - High Volume Nodes**
- Number of HVN zones (from Volume Profile)
- These are areas where most trading activity occurred
- Often act as magnets for price
### **Row 6: 📍 NEAR - Nearest Zone**
- Shows closest zone type (SUP/RES/HVN)
- Distance in % to nearest zone
- Arrow shows if zone is above or below
### **Row 7: POSITION - Price Position**
- **HIGH**: Price near range top (70%+) - watch for resistance
- **MID**: Price in middle range (30-70%) - neutral zone
- **LOW**: Price near range bottom (<30%) - watch for support
- Shows exact position % in lookback range
### **Row 8: ═ SIGNAL ═**
- **🚀 BUY**: Touching support zone (entry opportunity)
- **⚠️ SELL**: Touching resistance zone (exit/short opportunity)
- **⚡ WATCH**: At HVN (prepare for breakout or rejection)
- **⏳ WAIT**: No clear setup (be patient)
## 🎓 Trading Strategy for 15-Minute Timeframe
### **Basic Setup**
1. Set timeframe to **15 minutes**
2. Use **Auto Detect** or **Combined** method
3. Set **Lookback Period**: 200 bars (~50 hours)
4. Set **Min Touch Count**: 3 (proven zones)
### **Entry Signals**
#### **Long Entry (Buy)**
- Price touches green support zone
- Table shows "🚀 BUY" signal
- Look for bullish candle pattern (hammer, engulfing)
- Volume increases on bounce
- **Best Entry**: Bottom of support zone
- **Stop Loss**: Below support zone (1-2 ATR)
- **Target**: Next resistance zone or 2:1 RR
#### **Short Entry (Sell)**
- Price touches red resistance zone
- Table shows "⚠️ SELL" signal
- Look for bearish candle pattern (shooting star, engulfing)
- Volume increases on rejection
- **Best Entry**: Top of resistance zone
- **Stop Loss**: Above resistance zone (1-2 ATR)
- **Target**: Next support zone or 2:1 RR
#### **HVN Breakout Strategy**
- Price approaches purple HVN zone
- Table shows "⚡ WATCH"
- Wait for breakout with strong volume
- **If breaks up**: Go long, target next resistance
- **If breaks down**: Go short, target next support
### **Zone Strength Rules**
- **S5+ or R5+**: Very strong zones (high probability)
- **S3-S4 or R3-R4**: Reliable zones (good setups)
- **S2 or R2**: Weak zones (use caution)
### **Best Trading Times (15min)**
- **London Open**: 08:00-12:00 GMT (high volume)
- **NY Open**: 13:00-17:00 GMT (high volatility)
- **Overlap**: 13:00-16:00 GMT (best setups)
- **Avoid**: Asian session low volatility periods
### **Risk Management**
- Never risk more than 1-2% per trade
- Use stop loss ALWAYS (place outside zones)
- Take partial profits at 1:1, let rest run to 2:1 or 3:1
- If price consolidates in zone > 3 candles, exit
## ⚠️ Important Notes
### **When Zones Work Best**
✅ Clear trending markets
✅ After significant price movements
✅ At session opens (London/NY)
✅ When multiple zones align
✅ Strong zone with 5+ touches
### **When to Be Cautious**
❌ During major news releases (use economic calendar)
❌ Very low volume periods
❌ Price consolidating inside zone
❌ Weak zones with only 2 touches
❌ Conflicting signals from multiple indicators
### **15-Minute Specific Tips**
- **Lookback 200**: Captures 2-3 trading days of zones
- **Touch Distance 0.3%**: Early signals on 15min moves
- **Max Zones 20**: Keeps chart clean but comprehensive
- **Watch POC**: Often acts as pivot on 15min
- **Volume spike + zone touch** = high probability setup
## 🔧 Recommended Settings for 15min
### **Conservative Trader**
- Detection Method: Combined
- Min Touch Count: 4
- Max Zones: 15
- Touch Distance: 0.2%
### **Aggressive Trader**
- Detection Method: Auto Detect
- Min Touch Count: 2
- Max Zones: 25
- Touch Distance: 0.5%
### **Volume Profile Focused**
- Detection Method: Volume Profile
- Show HVN: Yes
- HVN Threshold: 0.6
- Show POC: Yes
## 📈 Example Trade Scenario (15min)
**Setup**: BTC/USD on 15-minute chart
1. Price approaching green support zone at $42,000
2. Zone label shows "S4" (touched 4 times)
3. Table shows "🚀 BUY" signal
4. Volume increasing on approach
5. Bullish hammer candle forms
**Entry**: $42,050 (bottom of zone)
**Stop Loss**: $41,900 (below zone)
**Target 1**: $42,350 (2:1 RR)
**Target 2**: Next resistance at $42,650
**Result**: Price bounces, hits Target 1 in 3 candles (~45min)
## 💡 Pro Tips
1. **Combine with trend**: Trade in direction of higher timeframe trend
2. **Multiple touches**: Zones with 5+ touches are highest probability
3. **Volume confirmation**: Always check volume on zone touch
4. **POC magnet**: Price often returns to POC line
5. **False breakouts**: If price barely breaks zone and returns = strong signal
6. **Zone-to-zone**: Trade from support to resistance, resistance to support
7. **Time of day**: Best setups occur during peak volume hours
8. **Chart timeframe**: Use 1H to confirm trend, 15min for entry
9. **News avoidance**: Close trades before high-impact news
10. **Zone clusters**: Multiple zones together = strong area
---
**Created by able** | Optimized for 15-minute trading
**Version**: 1.0 | Compatible with TradingView Pine Script v5
For support and updates, enable alerts and monitor the info table in real-time!
CoreMACDHTF [CHE]Library "CoreMACDHTF"
calc_macd_htf(src, preset_str, smooth_len)
Parameters:
src (float)
preset_str (simple string)
smooth_len (int)
is_hist_rising(src, preset_str, smooth_len)
Parameters:
src (float)
preset_str (simple string)
smooth_len (int)
hist_rising_01(src, preset_str, smooth_len)
Parameters:
src (float)
preset_str (simple string)
smooth_len (int)
CoreMACDHTF — Hardcoded HTF MACD Presets with Smoothed Histogram Regime Flags
Summary
CoreMACDHTF provides a reusable MACD engine that approximates higher-timeframe behavior by selecting hardcoded EMA lengths based on the current chart timeframe, then optionally smoothing the resulting histogram with a stateful filter. It is published as a Pine v6 library but intentionally includes a minimal demo plot so you can validate behavior directly on a chart. The primary exported outputs are MACD, signal, a smoothed histogram, and the resolved lengths plus a timeframe tag. In addition, it exposes a histogram rising condition so importing scripts can reuse the same regime logic instead of re-implementing it.
Motivation: Why this design?
Classic MACD settings are often tuned to one timeframe. When you apply the same parameters to very different chart intervals, the histogram can become either too noisy or too sluggish. This script addresses that by using a fixed mapping from the chart timeframe into a precomputed set of EMA lengths, aiming for more consistent “tempo” across intervals. A second problem is histogram micro-chop around turning points; the included smoother reduces short-run flips so regime-style conditions can be more stable for alerts and filters.
What’s different vs. standard approaches?
Reference baseline: a standard MACD using fixed fast, slow, and signal lengths on the current chart timeframe.
Architecture differences:
Automatic timeframe bucketing that selects a hardcoded length set for the chosen preset.
Two preset families: one labeled A with lengths three, ten, sixteen; one labeled B with lengths twelve, twenty-six, nine.
A custom, stateful histogram smoother intended to damp noisy transitions.
Library exports that return both signals and metadata, plus a dedicated “histogram rising” boolean.
Practical effect:
The MACD lengths change when the chart timeframe changes, so the oscillator’s responsiveness is not constant across intervals by design.
The rising-flag logic is based on the smoothed histogram, which typically reduces single-bar flip noise compared to using the raw histogram directly.
How it works (technical)
1. The script reads the chart timeframe and converts it into milliseconds using built-in timeframe helpers.
2. It assigns the timeframe into a bucket label, such as an intraday bucket or a daily-and-above bucket, using fixed thresholds.
3. It resolves a hardcoded fast, slow, and signal length triplet based on:
The selected preset family.
The bucket label.
In some cases, the current minute multiplier for finer mapping.
4. It computes fast and slow EMAs on the selected source and subtracts them to obtain MACD, then computes an EMA of MACD for the signal line.
5. The histogram is derived from the difference between MACD and signal, then passed through a custom smoother.
6. The smoother uses persistent internal state to carry forward its intermediate values from bar to bar. This is intentional and means the smoothing output depends on contiguous bar history.
7. The histogram rising flag compares the current smoothed histogram to its prior value. On the first comparable bar it defaults to “rising” to avoid a missing prior reference.
8. Exports:
A function that returns MACD, signal, smoothed histogram, the resolved lengths, and a text tag.
A function that returns the boolean rising state.
A function that returns a numeric one-or-zero series for direct plotting or downstream numeric logic.
HTF note: this is not a true higher-timeframe request. It does not fetch higher-timeframe candles. It approximates HTF feel by selecting different lengths on the current timeframe.
Parameter Guide
Source — Input price series used for EMA calculations — Default close — Trade-offs/Tips
Preset — Selects the hardcoded mapping family — Default preset A — Preset A is more reactive than preset B in typical use
Table Position — Anchor for an information table — Default top right — Present but not wired in the provided code (Unknown/Optional)
Table Size — Text size for the information table — Default normal — Present but not wired in the provided code (Unknown/Optional)
Dark Mode — Theme toggle for the table — Default enabled — Present but not wired in the provided code (Unknown/Optional)
Show Table — Visibility toggle for the table — Default enabled — Present but not wired in the provided code (Unknown/Optional)
Zero dead-band (epsilon) — Intended neutral band around zero for regime classification — Default zero — Present but not used in the provided code (Unknown/Optional)
Acceptance bars (n) — Intended debounce count for regime confirmation — Default three — Present but not used in the provided code (Unknown/Optional)
Smoothing length — Length controlling the histogram smoother’s responsiveness — Default nine — Smaller values react faster but can reintroduce flip noise
Reading & Interpretation
Smoothed histogram: use it as the momentum core. A positive value implies MACD is above signal, a negative value implies the opposite.
Histogram rising flag:
True means the smoothed histogram increased compared to the prior bar.
False means it did not increase compared to the prior bar.
Demo plot:
The included plot outputs one when rising is true and zero otherwise. It is a diagnostic-style signal line, not a scaled oscillator display.
Practical Workflows & Combinations
Trend following:
Use rising as a momentum confirmation filter after structural direction is established by higher highs and higher lows, or lower highs and lower lows.
Combine with a simple trend filter such as a higher-timeframe moving average from your main script (Unknown/Optional).
Exits and risk management:
If you use rising to stay in trends, consider exiting or reducing exposure when rising turns false for multiple consecutive bars rather than reacting to a single flip.
If you build alerts, evaluate on closed bars to avoid intra-bar flicker in live candles.
Multi-asset and multi-timeframe:
Because the mapping is hardcoded, validate on each asset class you trade. Volatility regimes differ and the perceived “equivalence” across timeframes is not guaranteed.
For consistent behavior, keep the smoothing length aligned across assets and adjust only when flip frequency becomes problematic.
Behavior, Constraints & Performance
Repaint and confirmation:
There is no forward-looking indexing. The logic uses current and prior values only.
Live-bar values can change until the bar closes, so rising can flicker intra-bar if you evaluate it in real time.
security and HTF:
No higher-timeframe candle requests are used. Length mapping is internal and deterministic per chart timeframe.
Resources:
No loops and no arrays in the core calculation path.
The smoother maintains persistent state, which is lightweight but means results depend on uninterrupted history.
Known limits:
Length mappings are fixed. If your chart timeframe is unusual, the bucket choice may not represent what you expect.
Several table and regime-related inputs are declared but not used in the provided code (Unknown/Optional).
The smoother is stateful; resetting chart history or changing symbol can alter early bars until state settles.
Sensible Defaults & Quick Tuning
S tarting point:
Preset A
Smoothing length nine
Source close
Tuning recipes:
Too many flips: increase smoothing length and evaluate rising only on closed bars.
Too sluggish: reduce smoothing length, but expect more short-run reversals.
Different timeframe feel after switching intervals: keep preset fixed and adjust smoothing length first before changing preset.
Want a clean plot signal: use the exported numeric rising series and apply your own display rules in the importing script.
What this indicator is—and isn’t
This is a momentum and regime utility layer built around a MACD-style backbone with hardcoded timeframe-dependent parameters and an optional smoother. It is not a complete trading system, not a risk model, and not predictive. Use it in context with market structure, execution rules, and risk controls.
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
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
RSI + Psy + ADXRSI + Psychological Line + ADX (with RCI-replacement logic)
This custom TradingView indicator combines three major technical analysis tools—RSI, Psychological Line (Psy), and ADX—to help traders identify trend strength, market momentum, and overbought/oversold conditions with improved clarity.
1. Multi-Period RSI
The indicator calculates three RSI values:
Short-term RSI (9)
Mid-term RSI (26)
Long-term RSI (52)
These help users observe short-, mid-, and long-term momentum simultaneously.
Threshold lines are drawn at 70, 50, and 30 for standard RSI overbought/oversold analysis.
2. Psychological Line (Psy) with Dynamic Column Display
The Psy indicator counts how many closes within the selected period (default: 12) were higher than the previous close.
Values above 75 indicate overbought markets.
Values below 25 indicate oversold markets.
When Psy crosses these thresholds, it is displayed as a column chart centered at 50, visually expanding upward (overbought) or downward (oversold).
3. ADX Trend Strength with Color Coding
ADX is calculated from DI+ and DI− values (using true range and directional movement).
The ADX line changes color based on trend strength:
Blue: Weak trend (below 20)
Yellow: Moderate trend (20–30)
Red: Strong trend (above 30)
This helps traders easily recognize when the market transitions from low-volatility to strong-trend conditions.
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
Adaptive MACD PROAdaptive MACD PRO
Highlights structural momentum changes using dynamic normalization of MACD and Signal.
Phase Momentum Core
Adds directional confirmation based on short-term phase behavior.
Visual Output
• MACD & Signal lines with trend-based coloring
• Adaptive histogram reflecting momentum strength
• Fixed-position Buy/Sell dots at predefined levels
• AutoCalib dots on MACD_z threshold crossings
• Optional HUD panel displaying calibration levels and MACD_z
Features
• Selectable MA types (EMA, SMA, KAMA)
• Z-score normalization
• ATR-based volatility weighting
• Higher timeframe alignment
• Auto-calibration with SAFE / AGGRESSIVE modes
• Unified long/short triggers
• Full bar-coloring control
• Works on all assets and timeframes
The full source code is visible and may be modified or extended.
This script is intended for technical analysis and research only.
This indicator is published as a free, open-source script with full visible code.
Multi MAThis TradingView indicator displays four customizable moving averages on your price chart: two Exponential Moving Averages (EMAs) and two Simple Moving Averages (SMAs).
The default settings show a 10-period EMA (aqua), 21-period EMA (orange), 50-period SMA (green), and 200-period SMA (red), which are commonly used timeframes for trend analysis.
Each moving average can be individually toggled on or off, and their lengths and colors are fully adjustable through the indicator settings.
The EMAs react more quickly to price changes while the SMAs provide smoother, more gradual trend indicators, making this useful for identifying support/resistance levels and trend direction.
Traders often watch for crossovers between these moving averages as potential entry or exit signals, with the 50/200 SMA cross being particularly significant as the "golden cross" or "death cross."
QLC - Gibaum 1.0 QLC - Gibaum 1.0
Good for Leverage AND Short - 5 to 20 minutes >70%.
Gibaum The Beast
Little Black Guy suffers in america
Delta Force Index - DFI [TCMaster]This indicator provides a proxy measurement of hidden buying and selling pressure inside each candle by combining tick volume with candle direction. It calculates a simulated delta volume (buy vs. sell imbalance), applies customizable scaling factors, and displays three components:
Delta Columns (green/red): Show estimated hidden buy or sell pressure per candle.
Delta Moving Average (orange line): Smooths delta values to highlight underlying momentum.
Cumulative Delta (blue line): Tracks the long-term accumulation of hidden order flow.
How to use:
Rising green columns with a positive Delta MA and upward Cumulative Delta suggest strong hidden buying pressure.
Falling red columns with a negative Delta MA and downward Cumulative Delta suggest strong hidden selling pressure.
Scaling parameters allow you to adjust the visual balance between columns and lines for different timeframes.
Note: This tool uses tick volume and candle direction as a proxy for order flow. It does not display actual bid/ask data or Level II market depth. For professional order flow analysis, footprint charts or DOM data are required.
VWAP POC Volume ConfirmationVWAP POC Volume Confirmation
Advanced volume-based trading indicator that combines VWAP, Point of Control, and volume analysis for precise entry signals. Features:
• VWAP Trend Filter - Confirms market direction
• POC Levels - Identifies key price control points
• Volume Confirmation - Validates moves with high volume
• Multi-Timeframe - Adapts to any chart timeframe
• Smart Signals - Strong/Medium entry alerts with visual arrows
Perfect for day traders seeking volume-confirmed entries with clear VWAP and POC alignment. Includes real-time info table and customizable alerts.
#VWAP #VolumeProfile #POC #TradingStrategy #VolumeAnalysis
Smart ATR ProSmart ATR Pro - Adaptive Volatility & Smart Money Indicator
Advanced oscillator combining Adaptive ATR filtering with Smart Money detection. Features:
🎯 Smart Signals
BUY/SELL alerts with star rating system (1-5 stars)
STRONG signals for high-probability entries
ATR color status (Green/Yellow/Red) for volatility conditions
📊 Multi-Timeframe Analysis
MFI with overbought/oversold zones
Cumulative Delta volume analysis
Smart Money Power histogram
Price-action divergences detection
⚡ Adaptive Technology
Auto-adjusts ATR ranges based on market conditions
Smart Money strength calculation (0-6 points)
Volume spike detection
🎨 Professional UI
Centered table with adjustable opacity
Color-coded indicators for quick reading
Clean oscillator display with multiple plots
Perfect for swing traders and day traders seeking confirmed entries with volatility filtering and smart money confirmation.
*Settings: ATR Period 14, MFI Period 12, 100-bar analysis*
Thirdeyechart Gold Simulation Final 3The Thirdeyechart Gold Simulation Final Version 3 is the ultimate indicator for traders who want a comprehensive, real-time view of gold market dynamics across multiple XAU pairs. This version tracks 8 gold-related pairs simultaneously (XAUUSD, XAUJPY, XAUGBP, XAUEUR, XAUAUD, XAUCHF, XAUCAD, XAUNZD) and provides a consolidated visual table for weekly, daily, 4-hour, and 1-hour percentage changes.
Core Features
Multi-Timeframe Trend Analysis – Calculates percent change for each XAU pair across W, D, H4, H1 using:
pct_tf = ((close_tf - open_tf) / open_tf) * 100
Positive values are colored blue, negative values red, giving an immediate visual sense of market direction.
Buy & Sell Simulation – Each pair’s positive and negative contributions are summed to produce BuySim and SellSim columns, representing the overall pressure in the market without providing explicit trade signals.
Total Row & Strength Row – Aggregates all pairs to show total weekly, daily, H4, and H1 movements, alongside a Strength row indicating "Strong", "Weak", or "Neutral" trends per timeframe. A trend bias (Buy Bias or Sell Bias) is calculated automatically from total positive vs negative pressure.
Safe / Unsafe Trade Detection – Advanced logic measures the difference between total Buy and Sell pressure. If the distance exceeds 50% of total market activity, the market is labeled as Safe Trade with a reason for dominance (buyers or sellers). If below this threshold, it is labeled Unsafe Trade with a note that one side “can dominate the market.” This allows traders to quickly identify high-confidence vs uncertain market conditions.
Visual Layout – The table is fully boxed, color-coded, and easy to read, displaying all key metrics including per-timeframe percent changes, BuySim/SellSim totals, Strength, Trend Bias, and Trade Status with reasons.
Logic Overview
Percent changes per timeframe: pct_tf = ((close - open) / open) * 100
Positive and negative values split into Buy/Sell contributions.
Sum across all pairs and timeframes to calculate totals and bias.
Safe/Unsafe trade threshold: distance >= totalAll * 0.50
Strength interpretation per timeframe: >0 → Strong, <0 → Weak, 0 → Neutral
This indicator is ideal for fast detection of strong vs weak gold trends, global XAU market pressure simulation, and quick risk assessment through safe/unsafe trade labeling.
Disclaimer
This tool is educational and analytical only. It does not provide financial advice or trade signals. Users are responsible for their own trading decisions, and trading involves risk.
© 2025 Thirdeyechart. All rights reserved. Redistribution or commercial use without permission is prohibited.
