Real Relative Strength Indicator### What is RRS (Real Relative Strength)?
RRS is a volatility-normalized relative strength indicator that shows you – in real time – whether your stock, crypto, or any asset is genuinely beating or lagging the broader market after adjusting for risk and volatility. Unlike the classic “price ÷ SPY” line that gets completely fooled by volatility regimes, RRS answers the only question that actually matters to professional traders:
“Is this ticker moving better (or worse) than the market on a risk-adjusted basis right now?”
It does this by measuring the excess momentum of your ticker versus a benchmark (SPY, QQQ, BTC, etc.) and then dividing that excess by the average volatility (ATR) of both instruments. The result is a clean, centered-around-zero oscillator that works the same way in calm markets, crash markets, or parabolic bull runs.
### How to Use the RRS Indicator (Aqua/Purple Area Version) in Practice
The indicator is deliberately simple to read once you know the rules:
Positive area (aqua) means genuine outperformance.
Negative area (purple) means genuine underperformance.
The farther from zero, the stronger the leadership or weakness.
#### Core Signals and How to Trade Them
- RRS crossing above zero → one of the highest-probability long signals in existence. The asset has just started outperforming the market on a risk-adjusted basis. Enter or add aggressively if price structure agrees.
- RRS crossing below zero → leadership is ending. Tighten stops, take partial or full profits, or flip short if you trade both sides.
- RRS above +2 (bright aqua area) → clear leadership. This is where the real money is made in bull markets. Trail stops, add on pullbacks, let winners run.
- RRS below –2 (bright purple area) → clear distribution or capitulation. Avoid new longs, consider short entries or protective puts.
- Extreme readings above +4 or below –4 (background tint appears) → rare, very high-conviction moves. Treat these like once-a-month opportunities.
- Divergence (not plotted here, but easy to spot visually): price making new highs while the aqua area is shrinking → distribution. Price making new lows while the purple area is shrinking → hidden buying and coming reversal.
#### Best Settings by Style and Asset Class
For stocks and ETFs: keep benchmark as SPY (or QQQ for tech-heavy names) and length 14–20 on daily/4H charts.
For crypto: change the benchmark to BTCUSD (or ETHUSD) immediately — otherwise the reading is meaningless. Length 10–14 works best on 1H–4H crypto charts because volatility is higher.
For day trading: drop length to 10–12 and use 15-minute or 5-minute charts. Signals are faster and still extremely clean.
#### Highest-Edge Setups (What Actually Prints Money)
- RRS crosses above zero while price is still below a major moving average (50 EMA, 200 SMA, etc.) → early leadership, often catches the exact bottom of a new leg up.
- RRS already deep aqua (+3 or higher) and price pulls back to support without RRS dropping below +1 → textbook add-on or re-entry zone.
- RRS deep purple and suddenly turns flat or starts curling up while price is still falling → hidden accumulation, usually the exact low tick.
That’s it. Master these few rules and the RRS becomes one of the most powerful edge tools you will ever use for rotation trading...
Wskaźniki i strategie
Volume Profile DeltaMap [MHA Finverse]Volume Profile DeltaMap with Session Analysis
SHORT DESCRIPTION (for listing)
Advanced Volume Profile indicator with Delta Analysis, Value Area, Volume Nodes, Imbalance Zones, and Multi-Session Profiles. Professional tool for institutional-style volume analysis and market structure understanding.
---
DETAILED DESCRIPTION
📊 OVERVIEW
The Volume Profile DeltaMap is a comprehensive institutional-grade indicator that visualizes volume distribution across price levels, revealing where the most significant trading activity occurred. Unlike traditional indicators that plot data over time, Volume Profile analyzes price levels to identify key support/resistance zones, equilibrium areas, and buyer/seller dominance.
This indicator combines multiple advanced features:
- Volume Profile Analysis with customizable bins
- Delta Heat Map showing buyer vs seller pressure
- Value Area (VAH/VAL) calculations
- High/Low Volume Node Detection
- Imbalance Zone Identification
- Multi-Session Profile Separation (Tokyo, London, NY, Sydney)
- Point of Control (POC) highlighting
---
🎯 KEY FEATURES
1. Volume Profile Core
- Divides price range into customizable bins (10-100 levels)
- Accumulates volume at each price level over a lookback period
- Displays volume distribution horizontally on the chart
- Configurable lookback period (default: 200 bars)
2. Delta Analysis & Heat Map
- Delta (Δ) : Measures the difference between buying and selling pressure
- Color-coded visualization :
- Green/Teal = Buyer dominance
- Red/Pink = Seller dominance
- Heat map intensity : Shows volume concentration with gradient colors
- Percentage labels : Displays exact buyer/seller ratios at each level
3. Point of Control (POC)
- Automatically identifies the price level with maximum volume
- Marked with cyan border and volume label
- Acts as a strong magnetic level where price tends to return
- Often serves as major support/resistance
4. Value Area (VAH/VAL)
- Value Area : Price range containing 70% of total volume (configurable 50-90%)
- VAH (Value Area High) : Upper boundary - resistance level
- VAL (Value Area Low) : Lower boundary - support level
- Displayed with dashed lines and labels
- Represents fair value zone where institutional traders are most active
5. Volume Nodes
- HVN (High Volume Nodes) : Areas with ≥80% of maximum volume
- Highlighted in yellow/amber
- Strong support/resistance zones
- Price tends to consolidate here
- LVN (Low Volume Nodes) : Areas with ≤30% of maximum volume
- Highlighted in orange
- Low liquidity gaps
- Price moves quickly through these zones
- Potential breakout areas
6. Imbalance Zones
- Identifies areas with extreme directional bias (≥70% threshold)
- Buy Imbalance : Green overlay - exhaustion of buying pressure
- Sell Imbalance : Red overlay - exhaustion of selling pressure
- Indicates potential reversal or continuation zones
7. Session-Based Analysis
- Session Background Overlay : Color-codes current trading session
- Separate Session Profiles : Creates individual volume profiles for:
- 🇯🇵 Tokyo Session (00:00-09:00)
- 🇬🇧 London Session (07:00-16:00)
- 🇺🇸 New York Session (13:00-22:00)
- 🇦🇺 Sydney Session (21:00-06:00)
- Compare volume patterns across different market sessions
- Identify session-specific support/resistance levels
---
⚙️ CONFIGURATION SETTINGS
Basic Settings
- LookBack : Number of bars to analyze (50-500 recommended)
- Bins : Number of price levels (10-100, default: 30)
- Horizontal Offset : Adjust profile position on chart
#### Features Toggle
- Delta Heat Map
- Delta Labels
- Volume Bars (Buy/Sell split)
- POC Line
- Custom colors for positive/negative volume
Advanced Features
- Value Area calculation with adjustable percentage
- Volume Nodes (HVN/LVN) with custom thresholds
- Imbalance Zones with adjustable sensitivity
- Session backgrounds and separate profiles
- Profile spacing for multi-session view
---
📈 HOW TO USE THIS INDICATOR
Installation & Setup
1. Add to Chart :
- Search for "Volume Profile DeltaMap"
- Click "Add to favorites" ⭐
- Apply to your chart
2. Recommended Timeframes :
- Scalping : 1-5 minute charts
- Day Trading : 5-15 minute charts
- Swing Trading : 1-4 hour charts
- Position Trading : Daily charts
3. Initial Settings :
- Start with default settings
- For intraday: Set LookBack to 200-400 bars
- For higher timeframes: Use 100-200 bars
4. Enable Session Profiles (Optional):
- Go to Settings → Advanced Features
- Enable "Separate Profiles Per Session"
- Adjust "Profile Spacing" for better visibility
---
🔍 READING THE INDICATOR
Understanding the Display
Main Profile Elements:
- Horizontal bars : Length represents volume at that price
- Color gradient : Shows delta (buyer vs seller dominance)
- Bright cyan line : Point of Control (POC) - highest volume
- Green dashed line : Value Area High (VAH)
- Red dashed line : Value Area Low (VAL)
- Yellow highlights : High Volume Nodes (HVN)
- Orange highlights : Low Volume Nodes (LVN)
Volume Bars (if enabled):
- Top half (Red) : Selling volume percentage
- Bottom half (Teal) : Buying volume percentage
Delta Labels:
- Shows Δ percentage
- Positive = More buyers
- Negative = More sellers
---
📊 MARKET ANALYSIS & TRADING STRATEGIES
1. Support & Resistance Trading
POC as Key Level:
- Price tends to return to POC (magnetic effect)
- Strategy :
- When price is above POC → Look for pullbacks to POC for long entries
- When price is below POC → Look for rallies to POC for short entries
- POC acts as dynamic support/resistance
Value Area Trading:
- Inside Value Area (between VAH & VAL):
- Market is in balance/equilibrium
- Range-bound trading strategies
- Look for mean reversion
- Outside Value Area :
- Price accepted above VAH = Bullish breakout
- Price accepted below VAL = Bearish breakdown
- Trend-following strategies
Example Setup:
Price above VAH + Strong buying delta = Bullish trend
→ Wait for pullback to VAH
→ Enter long with stop below VAH
→ Target: Next HVN or previous session high
2. Volume Node Trading
High Volume Nodes (HVN):
- Characteristics : Strong support/resistance, consolidation zones
- Trading Strategy :
- Price approaching HVN from above → Potential support
- Price approaching HVN from below → Potential resistance
- Breakout from HVN → Strong momentum move
- Setup : Place limit orders at HVN boundaries
Low Volume Nodes (LVN):
- Characteristics : Low liquidity, fast price movement
- Trading Strategy :
- Price in LVN = Don't chase, wait for next HVN
- LVN breakout = Rapid moves, use wider stops
- Price rejection from LVN = Quick return to HVN
- Setup : Avoid placing stops in LVN zones
Example:
Price consolidating at HVN (yellow) near $50,000
→ Breakout above with volume
→ Fast move through LVN (orange) gap
→ Next target: Upper HVN at $51,500
3. Delta Analysis for Entry Timing
Strong Buying Delta (Green zones):
- Δ > +20% = Buyers in control
- Bullish Signal : Accumulation zone
- Strategy : Look for long entries on pullbacks
- Confirmation : Rising price + positive delta
Strong Selling Delta (Red zones):
- Δ < -20% = Sellers in control
- Bearish Signal : Distribution zone
- Strategy : Look for short entries on rallies
- Confirmation : Falling price + negative delta
Delta Divergence (Advanced):
- Bullish Divergence : Price making lower lows, but delta improving (less negative)
- Indicates selling pressure weakening
- Potential reversal signal
- Bearish Divergence : Price making higher highs, but delta weakening (less positive)
- Indicates buying pressure exhausting
- Potential reversal signal
4. Imbalance Zone Trading
Buy Imbalance (Bright Green):
- 70%+ buying pressure
- Interpretation :
- Potential exhaustion of buyers
- Smart money distribution
- Strategy :
- Look for reversal signals (bearish candles, resistance)
- Take profits on long positions
- Consider short entries with confirmation
Sell Imbalance (Bright Red):
- 70%+ selling pressure
- Interpretation :
- Potential exhaustion of sellers
- Smart money accumulation
- Strategy :
- Look for reversal signals (bullish candles, support)
- Take profits on short positions
- Consider long entries with confirmation
Example:
```
Price at VAH with 80% sell imbalance
→ Selling exhaustion likely
→ Wait for bullish reversal candle
→ Enter long with stop below VAL
```
5. Multi-Session Analysis
When "Separate Profiles Per Session" is enabled:
Session-Specific Levels:
- Each session creates its own POC and value area
- Compare sessions to identify:
- Where institutions accumulated/distributed
- Which levels each session respected
- Unfinished business from previous sessions
Trading Strategies:
A. Session POC Confluence
London POC: $49,500
NY POC: $49,550
→ Strong support zone at $49,500-$49,550
→ High probability long setup on pullback
B. Value Area Overlap
London VAH: $50,000
NY VAL: $49,800
→ Overlap creates strong consolidation zone
→ Breakout strategy: Enter on break above $50,000
C. Unfinished Business
London session rejected $51,000 (sell imbalance)
NY session hasn't tested this level yet
→ Watch for NY session to revisit $51,000
→ Potential reversal zone
D. Session Handoff
Tokyo session: Sideways, low volume
London session: Strong buying delta, break above VAH
NY session: Continuation or reversal?
→ Monitor NY open for direction confirmation
6. Market Profile Analysis
Profile Shape Interpretation:
A. P-Shape (Peak at Top)
- High volume at top of range
- Interpretation : Distribution, potential reversal down
- Strategy : Look for shorts at resistance
B. b-Shape (Peak at Bottom)
- High volume at bottom of range
- Interpretation : Accumulation, potential reversal up
- Strategy : Look for longs at support
C. D-Shape (Peak in Middle)
- Balanced profile, POC in center
- Interpretation : Equilibrium, neutral market
- Strategy : Range trading between VAH/VAL
D. Thin Profile (LVN Gap)
- Low volume throughout
- Interpretation : Trending market, little acceptance
- Strategy : Trend following, avoid counter-trend trades
---
🎯 COMPLETE TRADING WORKFLOW
Step 1: Market Structure Analysis
1. Identify overall profile shape
2. Locate POC, VAH, VAL
3. Note HVN and LVN zones
4. Check current price position relative to value area
Step 2: Delta & Imbalance Check
1. Review delta distribution (where are buyers/sellers?)
2. Identify imbalance zones
3. Look for delta divergences
4. Note any exhaustion signals
Step 3: Session Analysis (if enabled)
1. Compare current session vs previous sessions
2. Identify key levels each session created
3. Look for level confluences or gaps
4. Note unfinished business
Step 4: Trade Setup
1. Define your bias (long/short/neutral)
2. Identify entry zone (HVN, VAH/VAL, POC)
3. Set stop loss (below/above key level or opposite LVN)
4. Set target (next HVN, VAH/VAL, or session high/low)
Step 5: Execution & Management
1. Wait for price to reach entry zone
2. Confirm with price action (candlestick patterns)
3. Enter trade with defined risk
4. Move stop to breakeven at first target
5. Trail stop or take profits at resistance/support
---
📋 EXAMPLE TRADE SCENARIOS
Scenario 1: Long Setup at VAL
Setup:
- Price pulled back to VAL ($49,200)
- VAL coincides with HVN (yellow zone)
- Delta showing +15% buying (green)
- London session POC also at $49,200
Entry:
- Buy at $49,200 (VAL/HVN confluence)
- Stop loss: $49,000 (below VAL, in LVN)
- Target 1: $49,800 (POC)
- Target 2: $50,200 (VAH)
Management:
- Move stop to breakeven when Target 1 reached
- Trail stop below recent swing lows
- Exit 50% at VAH, let remainder run
Risk:Reward : 200 points risk / 1000 points potential = 1:5 R:R
---
Scenario 2: Short Setup at Sell Imbalance
Setup:
- Price at VAH ($50,500)
- Sell imbalance zone (85% sellers, bright red)
- Bearish divergence (higher high, weaker delta)
- Previous session rejected this level
Entry:
- Short at $50,500 after bearish engulfing candle
- Stop loss: $50,750 (above VAH + imbalance zone)
- Target 1: $50,000 (POC)
- Target 2: $49,600 (VAL)
Management:
- Take 50% profit at POC
- Trail stop above recent swing highs
- Exit remainder at VAL or if delta turns positive
Risk:Reward : 250 points risk / 900 points potential = 1:3.6 R:R
---
Scenario 3: Range Trading Inside Value Area
Setup:
- Market consolidating between VAH ($50,200) and VAL ($49,600)
- POC at $49,900
- Multiple HVNs creating range boundaries
- Delta oscillating between +/-10%
Long Trade:
- Entry: $49,650 (near VAL)
- Stop: $49,500 (below VAL)
- Target: $50,150 (near VAH)
- Risk:Reward: 150/500 = 1:3.3
Short Trade:
- Entry: $50,150 (near VAH)
- Stop: $50,300 (above VAH)
- Target: $49,700 (near VAL)
- Risk:Reward: 150/450 = 1:3
Management:
- Reduce position size in range trading
- Take profits at opposite boundary
- Exit if breakout occurs (stop hunt possible)
---
Scenario 4: Session Breakout Trade
Setup:
- London session: Range-bound $49,500-$50,000
- London VAH at $50,000 (resistance)
- NY session opens: Strong buying delta (+35%)
- Price breaks above $50,000 with momentum
Entry:
- Buy on breakout above $50,000
- Or buy on retest of $50,000 (old resistance = new support)
- Stop loss: $49,700 (below breakout level + buffer)
- Target 1: $50,500 (next HVN from previous day)
- Target 2: $51,000 (measured move)
Management:
- Enter 50% position on breakout
- Add remaining 50% on successful retest
- Move stop to breakeven when price +$300
- Trail stop below 20 EMA or recent higher lows
Risk:Reward : 300 points risk / 1000 points potential = 1:3.3 R:R
---
⚠️ BEST PRACTICES & RISK MANAGEMENT
Do's:
✅ Use on liquid markets (major crypto, forex, indices)
✅ Combine with price action and candlestick patterns
✅ Wait for confirmation before entering trades
✅ Always use stop losses based on volume structure
✅ Take partial profits at key levels (HVN, VAH/VAL)
✅ Adjust lookback period based on timeframe
✅ Use higher timeframe profiles for context
✅ Compare current profile with previous day/session
✅ Consider volume trends (increasing/decreasing)
✅ Backtest strategies on your specific market
Don'ts:
❌ Don't trade solely based on this indicator
❌ Don't ignore price action and market context
❌ Don't place stops in LVN zones (prone to spikes)
❌ Don't chase price in low volume areas
❌ Don't overtrade - wait for quality setups
❌ Don't use on extremely low volume/illiquid assets
❌ Don't forget to adjust for different market conditions
❌ Don't ignore fundamental news events
❌ Don't use excessive leverage even with good setups
❌ Don't force trades - patience is key
Risk Management Rules:
1. Risk per trade : Never risk more than 1-2% of capital
2. Position sizing : Based on stop loss distance
3. Stop placement : Always below/above key volume levels
4. Profit taking : Scale out at multiple targets
5. Drawdown limits : Stop trading after 3 consecutive losses
6. Win rate expectation : 50-60% is realistic
7. Risk:Reward minimum : Aim for 1:2 or better
8. Correlation : Don't take correlated positions
---
🔧 TROUBLESHOOTING & OPTIMIZATION
If profiles look too compressed:
- Increase "Bins" to 40-50
- Reduce "LookBack" period
- Adjust "Horizontal Offset"
If too cluttered:
- Disable "Delta Labels"
- Disable "Volume Bars"
- Keep only POC and Value Area
- Use "Session Background Overlay" instead of separate profiles
For scalping (1-5 min):
- LookBack: 300-500 bars
- Bins: 20-30
- Enable separate session profiles
- Focus on imbalance zones
For swing trading (1H-4H):
- LookBack: 100-200 bars
- Bins: 25-35
- Focus on VAH/VAL and HVN
- Disable session features
For position trading (Daily):
- LookBack: 50-100 bars
- Bins: 30-40
- Focus on weekly/monthly POC
- Compare with previous week profiles
---
📚 ADVANCED CONCEPTS
1. Composite Profiles
- Build profiles across multiple days
- Increase LookBack to 500+ bars on 15-min chart
- Identifies major support/resistance from weeks of data
- Use for swing trading key levels
2. Profile Migration
- Track how POC moves day over day
- Uptrend : POC migrating higher
- Downtrend : POC migrating lower
- Range : POC oscillating in same area
3. Failed Auctions
- Price briefly leaves value area but quickly returns
- Failed auction high : Bearish signal
- Failed auction low : Bullish signal
- Indicates rejection of new price levels
4. Overnight Inventory
- Compare previous day's close to value area
- Close above VAH : Bullish bias for next day
- Close below VAL : Bearish bias for next day
- Close in value area : Neutral, range expected
5. Volume Delta Momentum
- Track cumulative delta across time
- Rising cumulative delta + rising price : Strong trend
- Falling cumulative delta + rising price : Weak/topping
- Rising cumulative delta + falling price : Potential reversal
---
📊 INTEGRATION WITH OTHER INDICATORS
Complementary Indicators:
1. Moving Averages (20/50/200 EMA)
- Use with POC and VAH/VAL
- Confluence with EMAs = stronger levels
2. RSI/Stochastic
- Overbought at resistance (VAH/HVN) = strong short
- Oversold at support (VAL/HVN) = strong long
3. VWAP
- POC often aligns with VWAP
- Deviation from VWAP + Volume Profile = trade setup
4. Order Flow/Footprint Charts
- Confirm delta analysis
- Detailed buyer/seller pressure
5. Market Profile (TPO)
- Similar concept, different visualization
- Use together for complete picture
Example Multi-Indicator Setup:
Price at VAL ✓
+ 200 EMA support ✓
+ RSI oversold (30) ✓
+ Positive delta zone ✓
+ Bullish engulfing candle ✓
= High probability long entry
---
🎓 LEARNING CURVE & PRACTICE
Week 1-2: Understanding
- Study each feature individually
- Identify POC, VAH, VAL on historical charts
- Note HVN and LVN patterns
- Observe how price reacts to these levels
Week 3-4: Pattern Recognition
- Track different profile shapes
- Identify session-specific patterns
- Note delta distribution patterns
- Document imbalance zone outcomes
Week 5-6: Paper Trading
- Take simulated trades based on setups
- Record entry/exit reasoning
- Track win rate and R:R
- Refine strategy based on results
Week 7-8: Live Trading (Small Size)
- Start with minimal position sizes
- Focus on execution and discipline
- Build confidence with real money
- Gradually increase size as proficiency grows
Ongoing:
- Review trades weekly
- Keep trading journal
- Adapt to changing market conditions
- Continuously refine strategy
---
💡 KEY TAKEAWAYS
1. Volume Profile shows WHERE the market is most active (POC, HVN)
2. Delta shows WHO is in control (buyers vs sellers)
3. Value Area shows FAIR VALUE (equilibrium zone)
4. Volume Nodes show STRUCTURE (support/resistance)
5. Imbalances show EXHAUSTION (potential reversals)
6. Sessions show PARTICIPATION (institutional activity)
The indicator is a MAP, not a SIGNAL:
- It shows you the battlefield terrain
- You still need to decide when/how to engage
- Combine with price action for best results
- Risk management is always paramount
---
⚖️ DISCLAIMER
This indicator is for educational and informational purposes only.
- Not financial advice
- Past performance does not guarantee future results
- Trading involves substantial risk of loss
- Only trade with capital you can afford to lose
- Always do your own research and due diligence
- Test strategies thoroughly before risking real money
- Consider consulting a licensed financial advisor
The creator is not responsible for any trading losses incurred while using this indicator.
---
Happy Trading! 📈🚀
DWM HLOC, Mid & WicksSimple, yet effective.
1. Automatically calculate and projects key price levels from a previous period (Yesterday, OR Last Week / Month) onto the current trading session. It acts as an immediate Support & Resistance map based on historical price action.
2. Multi-Timeframe Logic
Modes --
Daily Mode: Projects yesterday's data onto today.
Weekly Mode: Projects last week's data onto the current week.
3. Key Levels Visualized The script calculates seven distinct price levels:
OHLC: Previous Open, High, Low, and Close.
Equilibrium (Mid): The exact 50% mark between the previous High and Low.
Wick Midpoints (New):
Upper Wick 50%: The midpoint between the High and the top of the body.
Lower Wick 50%: The midpoint between the Low and the bottom of the body.
4. Smart "Gap" Visualization The script uses unique starting points to help traders visualize market gaps:
Standard Levels (High, Low, Open, Mids): These lines originate from the Previous Period's Open, showing the full context of the level relative to time.
Close Level: This line originates from the Current Period's Open. This visually highlights the "Gap" (the jump in price between where the market closed previously and where it opened today).
5. Full Customization
Aesthetics: Every line can be individually toggled on/off.
Styling: Users can independently change the color, line style (Solid, Dotted, Dashed), and thickness for every specific level.
Reversal_Detector//@version=6
indicator("상승 반전 탐지기 (Reversal Detector)", overlay=true)
// ==========================================
// 1. 설정 (Inputs)
// ==========================================
rsiLen = input.int(14, title="RSI 길이")
lbR = input.int(5, title="다이버전스 확인 범위 (오른쪽)")
lbL = input.int(5, title="다이버전스 확인 범위 (왼쪽)")
rangeUpper = input.int(60, title="RSI 과매수 기준")
rangeLower = input.int(30, title="RSI 과매도 기준")
// ==========================================
// 2. RSI 상승 다이버전스 계산 (핵심 로직)
// ==========================================
osc = ta.rsi(close, rsiLen)
// 피벗 로우(Pivot Low) 찾기: 주가의 저점
plFound = na(ta.pivotlow(osc, lbL, lbR)) ? false : true
// 다이버전스 조건 확인
// 1) 현재 RSI 저점이 이전 RSI 저점보다 높아야 함 (상승)
// 2) 현재 주가 저점이 이전 주가 저점보다 낮아야 함 (하락)
showBull = false
if plFound
// 이전 피벗 지점 찾기
oscLow = osc
priceLow = low
// 과거 데이터를 탐색하여 직전 저점과 비교
for i = 1 to 60
if not na(ta.pivotlow(osc, lbL, lbR) ) // 이전에 저점이 있었다면
prevOscLow = osc
prevPriceLow = low
// 다이버전스 조건: 가격은 더 떨어졌는데(Lower Low), RSI는 올랐을 때(Higher Low)
if priceLow < prevPriceLow and oscLow > prevOscLow and oscLow < rangeLower
showBull := true
break // 하나 찾으면 루프 종료
// ==========================================
// 3. 보조 조건 (MACD 골든크로스 & 이평선)
// ==========================================
= ta.macd(close, 12, 26, 9)
macdCross = ta.crossover(macdLine, signalLine) // MACD 골든크로스
ma5 = ta.sma(close, 5)
ma20 = ta.sma(close, 20)
maCross = ta.crossover(ma5, ma20) // 5일선이 20일선 돌파
// ==========================================
// 4. 시각화 (Plotting)
// ==========================================
// 1) 상승 다이버전스 발생 시 (강력한 바닥 신호)
plotshape(showBull,
title="상승 다이버전스",
style=shape.labelup,
location=location.belowbar,
color=color.red,
textcolor=color.white,
text="Bull Div (바닥신호)",
size=size.small,
offset=-lbR) // 과거 시점에 표시
// 2) MACD 골든크로스 (추세 확인용)
plotshape(macdCross and macdLine < 0, // 0선 아래에서 골든크로스 날 때만
title="MACD 골든크로스",
style=shape.triangleup,
location=location.belowbar,
color=color.yellow,
size=size.tiny,
text="MACD")
// 3) 이동평균선
plot(ma5, color=color.blue, title="5일선")
plot(ma20, color=color.orange, title="20일선")
// 알림 설정
alertcondition(showBull, title="상승 다이버전스 포착", message="상승 다이버전스 발생! 추세 반전 가능성")
Trinity CCI Pro PlusWhat It Is
Trinity CCI Pro Plus is an innovative overlay indicator that reimagines the classic Commodity Channel Index (CCI) by plotting its levels directly on the price chart. No more separate oscillator panel—instead, you get dynamic price-based bands and lines for instant momentum insights.
What You See on the Chart
Orange line: The CCI zero line (20-period SMA of typical price, hlc3)—acts as the baseline.
Aqua line: Dynamic upper band at CCI = +100 (overbought threshold).
Purple line: Dynamic lower band at CCI = -100 (oversold threshold).
Optional thick purple line: The extra SMA of CCI (14-period smooth) scaled back to price—serves as a signal line for crossovers.
Optional outer zones: ±200 bands (aqua/purple extensions) for extreme momentum levels, often added as dotted or filled areas to spot blow-off tops/bottoms.
Key Differences from Regular CCI
Standard CCI lives in a lower pane with fixed horizontal lines at +100, 0, and -100, forcing you to split your focus. This version overlays everything on price: the bands curve with market volatility, the zero line becomes a moving average, and the extra SMA/signal line integrates seamlessly for price-action trading. Plus, it naturally supports outer ±200 zones without extra coding, making extremes visually pop.
How Traders Use It
Momentum breakouts: Buy when price closes above the +100 aqua band (or +200 for aggressive entries); sell below -100 purple (or -200).
Mean reversion: Fade touches on the bands—take profits if price rejects the +100/-100 levels, or watch for exhaustion at ±200.
Trend bias: Price above orange zero = bullish filter; below = bearish. Use the extra SMA for confirmation (e.g., price crossing above it signals upside).
Crossover signals: Price vs. the thick purple SMA line—bullish above, bearish below—pairs perfectly with band breaks.
Range trading: Treat ±100 bands as dynamic support/resistance; outer ±200 zones highlight potential breakout setups.
This setup shines in trending markets (e.g., stocks or forex on 1H/daily charts), turning CCI into a one-glance channel system. Start with the defaults, add the ±200 and extra SMA via simple code tweaks, and backtest for your style—it's versatile and reduces screen clutter dramatically.
More Info
The 20 period MA is the original and still the most common setting for CCI, and it is exactly what the creator of the CCI, Donald Lambert, published it in 1980 with these exact parameters:
Length: 20 periods
Constant: 0.015 (to make CCI fall between +100 and –100 about 70–80 % of the time)
Typical Price: hlc3 (or sometimes (high + low + close)/3)
Deviation measure: Mean Deviation (not standard deviation)
So the “Trinity CCI Pro Plus” you are using is 100 % faithful to Lambert’s original design when the length is set to 20.
Trend Trader//@version=6
indicator("Trend Trader", shorttitle="Trend Trader", overlay=true)
// User-defined input for moving averages
shortMA = input.int(10, minval=1, title="Short MA Period")
longMA = input.int(100, minval=1, title="Long MA Period")
// User-defined input for the instrument selection
instrument = input.string("US30", title="Select Instrument", options= )
// Set target values based on selected instrument
target_1 = instrument == "US30" ? 50 :
instrument == "NDX100" ? 25 :
instrument == "GER40" ? 25 :
instrument == "GOLD" ? 5 : 5 // default value
target_2 = instrument == "US30" ? 100 :
instrument == "NDX100" ? 50 :
instrument == "GER40" ? 50 :
instrument == "GOLD" ? 10 : 10 // default value
// User-defined input for the start and end times with default values
startTimeInput = input.int(12, title="Start Time for Session (UTC, in hours)", minval=0, maxval=23)
endTimeInput = input.int(17, title="End Time Session (UTC, in hours)", minval=0, maxval=23)
// Convert the input hours to minutes from midnight
startTime = startTimeInput * 60
endTime = endTimeInput * 60
// Function to convert the current exchange time to UTC time in minutes
toUTCTime(exchangeTime) =>
exchangeTimeInMinutes = exchangeTime / 60000
// Adjust for UTC time
utcTime = exchangeTimeInMinutes % 1440
utcTime
// Get the current time in UTC in minutes from midnight
utcTime = toUTCTime(time)
// Check if the current UTC time is within the allowed timeframe
isAllowedTime = (utcTime >= startTime and utcTime < endTime)
// Calculating moving averages
shortMAValue = ta.sma(close, shortMA)
longMAValue = ta.sma(close, longMA)
// Plotting the MAs
plot(shortMAValue, title="Short MA", color=color.blue)
plot(longMAValue, title="Long MA", color=color.red)
// MACD calculation for 15-minute chart
= request.security(syminfo.tickerid, "15", ta.macd(close, 12, 26, 9))
macdColor = macdLine > signalLine ? color.new(color.green, 70) : color.new(color.red, 70)
// Apply MACD color only during the allowed time range
bgcolor(isAllowedTime ? macdColor : na)
// Flags to track if a buy or sell signal has been triggered
var bool buyOnce = false
var bool sellOnce = false
// Tracking buy and sell entry prices
var float buyEntryPrice_1 = na
var float buyEntryPrice_2 = na
var float sellEntryPrice_1 = na
var float sellEntryPrice_2 = na
if not isAllowedTime
buyOnce :=false
sellOnce :=false
// Logic for Buy and Sell signals
buySignal = ta.crossover(shortMAValue, longMAValue) and isAllowedTime and macdLine > signalLine and not buyOnce
sellSignal = ta.crossunder(shortMAValue, longMAValue) and isAllowedTime and macdLine <= signalLine and not sellOnce
// Update last buy and sell signal values
if (buySignal)
buyEntryPrice_1 := close
buyEntryPrice_2 := close
buyOnce := true
if (sellSignal)
sellEntryPrice_1 := close
sellEntryPrice_2 := close
sellOnce := true
// Apply background color for entry candles
barcolor(buySignal or sellSignal ? color.yellow : na)
/// Creating buy and sell labels
if (buySignal)
label.new(bar_index, low, text="BUY", style=label.style_label_up, color=color.green, textcolor=color.white, yloc=yloc.belowbar)
if (sellSignal)
label.new(bar_index, high, text="SELL", style=label.style_label_down, color=color.red, textcolor=color.white, yloc=yloc.abovebar)
// Creating labels for 100-point movement
if (not na(buyEntryPrice_1) and close >= buyEntryPrice_1 + target_1)
label.new(bar_index, high, text=str.tostring(target_1), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar)
buyEntryPrice_1 := na // Reset after label is created
if (not na(buyEntryPrice_2) and close >= buyEntryPrice_2 + target_2)
label.new(bar_index, high, text=str.tostring(target_2), style=label.style_label_down, color=color.green, textcolor=color.white, yloc=yloc.abovebar)
buyEntryPrice_2 := na // Reset after label is created
if (not na(sellEntryPrice_1) and close <= sellEntryPrice_1 - target_1)
label.new(bar_index, low, text=str.tostring(target_1), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar)
sellEntryPrice_1 := na // Reset after label is created
if (not na(sellEntryPrice_2) and close <= sellEntryPrice_2 - target_2)
label.new(bar_index, low, text=str.tostring(target_2), style=label.style_label_up, color=color.red, textcolor=color.white, yloc=yloc.belowbar)
sellEntryPrice_2 := na // Reset after label is created
V-CORE SMA Matrix LiteV-CORE SMA Matrix Lite
A clean, lightweight 5-SMA structure tool built using Pine Script v6.
This open-source Lite edition provides a simple visual framework for identifying market structure using the most commonly used moving averages:
21 SMA
50 SMA
80 SMA
100 SMA
200 SMA
Each line is individually adjustable and colour-coded for easy trend reading.
No signals, no alerts, no automation — purely a visual tool for traders who prefer clarity over complexity.
This Lite version exposes only basic, non-proprietary logic.
Advanced regime systems, multi-stage confirmation models, and automation features are available only in the full V-CORE Engine suite.
Part of the V-CORE Lite Series
Free open-source tools designed for education, research, and clean charting.
Follow our work:
TradingView: VectorCoresAI
X (Twitter): vectorcoresai
Telegram: vectorcoresai
MM Wash Detector (Fool-Proof)MM Wash Detector (Stealth) is a market-structure tool designed to identify wash candles created during liquidity hunts.
These candles typically show unusually long wicks with tiny bodies, signalling where market makers have swept stop-losses before reversing price.
The indicator marks:
Bear Wash → Long bottom wick (stop-hunt down, reversal up)
Bull Wash → Long top wick (stop-hunt up, reversal down)
This helps traders spot manipulation areas, liquidity grabs, and potential reversal zones with simple, discreet chart labels.
BankNifty - 2x Nifty Differencedifference between Banknifty near month future - 2x nifty near month future
Distance From MA 52W Low+High This script shows the distance in percentage form of price from its ema and 52 week high and low. It can be seen on the chart as line or pinned to the scale as in the picture above.
dual moving average crossover Erdal//@version=5
indicator("MA Cross Simple", overlay=true)
// Inputs
fastLen = input.int(10)
slowLen = input.int(100)
// Moving averages
fastMA = ta.sma(close, fastLen)
slowMA = ta.sma(close, slowLen)
// Plot
plot(fastMA, color=color.green)
plot(slowMA, color=color.red)
// Cross signals
bull = ta.crossover(fastMA, slowMA)
bear = ta.crossunder(fastMA, slowMA)
// Labels
if bull
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green)
if bear
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red)
PST Super Simple System v2.5+PinkSlips Trading was built to give traders real structure, real tools, and real support — without the confusion or false promises you find everywhere else. Everything we provide is focused on helping you trade with clarity and confidence.
Professional-Grade Indicators
We develop custom TradingView indicators designed to simplify your decision-making. Clean, reliable, and built to support consistent trading.
Daily Live Trading Sessions
Members can watch the market with us in real time. We walk through bias, key levels, trade execution, and risk management so you can learn the process step-by-step.
Personal Guidance and Trade Planning
Whether you need help building a strategy, fixing your discipline, or understanding your data, we offer direct support and tailored plans to help you improve faster.
A Focused, Results-Driven Community
PinkSlips Trading is built for traders who want to get better — not for hype. You’ll be surrounded by people who take trading seriously and are committed to long-term growth.
Meet The Neural Brain: The "Glass Box" AnalystIt observes. It thinks. It speaks.
Most indicators are "Black Boxes"—they give you a signal, but they never tell you why. If you don't know the why, you can't trust the trade.
The Neural Brain is different. It is a "Glass Box" AI Market Analyst that lives on your chart. It breaks down its decision-making process into plain English, so you never have to guess.
How It "Thinks" (The 3-Layer Cortex)
It processes market data through three human-like layers:
1. PERCEPTION (The Eyes)
Forensic Analysis: It scans price action for "clean" vs. "noisy" movement.
Spread History: It tracks momentum expansion in real-time.
2. COGNITION (The Mind)
Mode Selection: It mathematically decides whether to TRACK a trend or REPEL choppy conditions.
Conviction Monitor: It tells you if its confidence in the trade is growing or fading.
3. NARRATIVE (The Voice)
The Killer Feature: It synthesizes all data into a final strategic summary displayed right on your screen:
"STRONG TREND + NOISY ACTION = HOLDING (Ignoring Noise)"
"Is this Real AI?"
Transparency is our priority. This is not "Generative AI" (like ChatGPT) that hallucinates or scours the internet. This is Expert Systems Machine Learning.
The Math: We utilize the Rational Quadratic Kernel, a sophisticated technique used in Gaussian Process Regression. This allows the code to "learn" the structure of volatility without being explicitly hard-coded. It adapts to the market curve.
The Logic: It mimics the thought process of a professional trader running a complex Decision Tree:
Human Thought: "The trend is up, but it's choppy, so I should wait."
Neural Logic: IF (Trend > 0) AND (Efficiency < 0.3) THEN Strategy = "HOLDING"
The Result: A Synthetic Cortex that adapts to the situation just like a pro trader would, giving you the clarity to execute with zero hesitation.
Institutional Moving Averages (50/100/200)A streamlined Moving Average suite designed for institutional-style trend analysis. This indicator plots the three most critical trend baselines used by traders and funds:
50 MA (Blue): Short-term trend and momentum.
100 MA (Orange): Medium-term support/resistance.
200 MA (Purple): Long-term trend definition (Bull/Bear line).
Features:
Fully Customizable: Switch between SMA, EMA, WMA, RMA, or HMA.
Clean Visuals: Optimized colors for dark and light themes.
Native Performance: Uses standard TradingView plotting for maximum speed and compatibility with the "Style" tab visibility settings.
67 2.0Major Market Trading Hours
New York Stock Exchange (NYSE)
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
Nasdaq
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
London Stock Exchange (LSE)
Open: 8:00 AM (GMT)
Close: 4:30 PM (GMT)
Tokyo Stock Exchange (TSE)
Open: 9:00 AM (JST)
Lunch Break: 11:30 AM – 12:30 PM (JST)
Close: 3:00 PM (JST)
Hong Kong Stock Exchange (HKEX)
Open: 9:30 AM (HKT)
Lunch Break: 12:00 PM – 1:00 PM (HKT)
Close: 4:00 PM (HKT)
Buffett Quality Filter (TTM)//@version=6
indicator("Buffett Quality Filter (TTM)", overlay = true, max_labels_count = 500)
// 1. Get financial data (TTM / FY / FQ)
// EPS (TTM) for P/E
eps = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC", "TTM")
// Profitability & moat (annual stats)
roe = request.financial(syminfo.tickerid, "RETURN_ON_EQUITY", "FY")
roic = request.financial(syminfo.tickerid, "RETURN_ON_INVESTED_CAPITAL", "FY")
// Margins (TTM – rolling 12 months)
grossMargin = request.financial(syminfo.tickerid, "GROSS_MARGIN", "TTM")
netMargin = request.financial(syminfo.tickerid, "NET_MARGIN", "TTM")
// Balance sheet safety (quarterly)
deRatio = request.financial(syminfo.tickerid, "DEBT_TO_EQUITY", "FQ")
currentRat = request.financial(syminfo.tickerid, "CURRENT_RATIO", "FQ")
// Growth (1-year change, TTM)
epsGrowth1Y = request.financial(syminfo.tickerid, "EARNINGS_PER_SHARE_BASIC_ONE_YEAR_GROWTH", "TTM")
revGrowth1Y = request.financial(syminfo.tickerid, "REVENUE_ONE_YEAR_GROWTH", "TTM")
// Free cash flow (TTM) and shares to build FCF per share for P/FCF
fcf = request.financial(syminfo.tickerid, "FREE_CASH_FLOW", "TTM")
sharesOut = request.financial(syminfo.tickerid, "TOTAL_SHARES_OUTSTANDING", "FQ")
fcfPerShare = (not na(fcf) and not na(sharesOut) and sharesOut != 0) ? fcf / sharesOut : na
// 2. Valuation ratios from price
pe = (not na(eps) and eps != 0) ? close / eps : na
pFcf = (not na(fcfPerShare) and fcfPerShare > 0) ? close / fcfPerShare : na
// 3. Thresholds (Buffett-style, adjustable)
minROE = input.float(15.0, "Min ROE %")
minROIC = input.float(12.0, "Min ROIC %")
minGM = input.float(30.0, "Min Gross Margin %")
minNM = input.float(8.0, "Min Net Margin %")
maxDE = input.float(0.7, "Max Debt / Equity")
minCurr = input.float(1.3, "Min Current Ratio")
minEPSG = input.float(8.0, "Min EPS Growth 1Y %")
minREVG = input.float(5.0, "Min Revenue Growth 1Y %")
maxPE = input.float(20.0, "Max P/E")
maxPFCF = input.float(20.0, "Max P/FCF")
// 4. Individual conditions
cROE = not na(roe) and roe > minROE
cROIC = not na(roic) and roic > minROIC
cGM = not na(grossMargin) and grossMargin > minGM
cNM = not na(netMargin) and netMargin > minNM
cDE = not na(deRatio) and deRatio < maxDE
cCurr = not na(currentRat) and currentRat > minCurr
cEPSG = not na(epsGrowth1Y) and epsGrowth1Y > minEPSG
cREVG = not na(revGrowth1Y) and revGrowth1Y > minREVG
cPE = not na(pe) and pe < maxPE
cPFCF = not na(pFcf) and pFcf < maxPFCF
// 5. Composite “Buffett Score” (0–10) – keep it on ONE line to avoid line-continuation errors
score = (cROE ? 1 : 0) + (cROIC ? 1 : 0) + (cGM ? 1 : 0) + (cNM ? 1 : 0) + (cDE ? 1 : 0) + (cCurr ? 1 : 0) + (cEPSG ? 1 : 0) + (cREVG ? 1 : 0) + (cPE ? 1 : 0) + (cPFCF ? 1 : 0)
// Strictness
minScoreForPass = input.int(7, "Min score to pass (0–10)", minval = 1, maxval = 10)
passes = score >= minScoreForPass
// 6. Visuals
bgcolor(passes ? color.new(color.green, 80) : na)
plot(score, "Buffett Score (0–10)", color = color.new(color.blue, 0))
// Info label on last bar
var label infoLabel = na
if barstate.islast
if not na(infoLabel)
label.delete(infoLabel)
infoText = str.format(
"Buffett score: {0} ROE: {1,number,#.0}% | ROIC: {2,number,#.0}% GM: {3,number,#.0}% | NM: {4,number,#.0}% P/E: {5,number,#.0} | P/FCF: {6,number,#.0} D/E: {7,number,#.00} | Curr: {8,number,#.00}",
score, roe, roic, grossMargin, netMargin, pe, pFcf, deRatio, currentRat)
infoLabel := label.new(bar_index, high, infoText,
style = label.style_label_right,
color = color.new(color.black, 0),
textcolor = color.white,
size = size.small)
Camarilla Pivots with Pre-Market (Labeled)This Script for day trading , including pre market level
Enjoy
Charbillionaire
High-Res VP + Macro Auto Fib DJVolume profiling plus Fibonacci for the descrationary trader.
Volume profile: The most important tool that I know.
Fib: Gives you an idea of the moves.
PST Bread Checklist v4Uses 50/200 EMA for higher-timeframe trend
Uses RSI zones + cross for entry
Adds volatility filter (ATR vs its own average)
Optional session filter (RTH 09:30–16:00)
Has a cooldown so you don’t get 10 labels in a row
Shows a checklist box + last signal
MA Groups with ShiftsThis indicator plots up to five groups of moving averages of user-selectable types. Each group consists of a base moving average and its 5- and 10-period shifted values.
The purpose of this indicator is to gauge the strength of the trend.
RSI Golden & Dead Cross AlertRSI 14 Golden And Dead Cross Indicator
It will give you an alert when there are rsi golden and dead cross.
It is a intergated signal: Crossing up and Crossing down of RSI.
Fib Golden RatioDynamic Fib High → Low (0.5 & 0.618)
This indicator automatically tracks the current day’s High and Low and plots the key Fibonacci retracement levels 0.5 (50%) and 0.618 (Golden Ratio) based on the live intraday price range.
The tool is designed for traders who want simple, clean, and dynamic intraday Fibonacci levels without clutter on the chart.
How It Works
Detects the start of a new trading day
Tracks the highest high and lowest low of the current day
Continuously recalculates:
Fibonacci 0.5 (Midpoint)
Fibonacci 0.618 (Golden Ratio)
Plots clean continuous lines across the chart
Fib is calculated from High → Low, matching how typical intraday fib tools are visually applied
Why This Indicator
No drawings to manually adjust
No user configuration required
Extremely lightweight and fast
Automatically adjusts as the day progresses
Perfect for identifying intraday mean reversion zones, pullback zones, and reaction levels
Ideal Use Cases
Intraday directional trading
Scalping pullbacks
Mean reversion setups
Identifying dynamic support/resistance zones
Option scalping (CE/PE)
5 DMA Entry Plus5 DMA Entry Plus - Multi-Strategy Entry Signal Indicator
Overview:
The 5 DMA Entry Plus is a versatile entry signal indicator that combines multiple proven technical analysis methods to identify potential buy opportunities. This indicator is designed to be highly customizable, allowing traders to toggle between different entry strategies or combine them for confluence-based entries.
Key Features:
1. Multiple Entry Strategy Options:
Default Close Above Entry: Triggers when price closes above the 5-day moving average (with optional HMA filter)
Green Wick Candle Signal: Identifies bullish candles where the wick pierces above key moving averages, indicating rejection of lower prices
5DMA Zero/Upslope Entry: Generates signals when the 5DMA is flat or sloping upward, confirming momentum
HMA Cross Entry: Triggers when price crosses above the Hull Moving Average, a responsive momentum indicator
2. Adaptive HMA Filter:
Toggle the HMA (Hull Moving Average) filter on or off to adjust signal sensitivity. When enabled, price must be above both the 5DMA and 20 HMA for confirmation. When disabled, only the 5DMA is required, generating more frequent signals.
3. Smart Reset Logic:
The indicator includes intelligent reset functionality that prevents signal spam. Once an entry signal is generated, no new signals appear until price closes below the moving average(s), ensuring clean, actionable entries without clutter.
4. Visual Components:
5-Day Moving Average (Blue Line): The primary trend reference
20-Period Hull Moving Average (Orange Line): Fast-responding momentum filter
Buy Signals (Green Labels): Clear "Buy" labels appear below candles when entry conditions are met
Built-in Alerts: Set up custom alerts to be notified when entry signals trigger
Customizable Inputs:
Use HMA Filter: Enable/disable the 20 HMA confirmation requirement
Include Green Wick Candle Signal: Toggle wick-based entry detection
Use 5DMA Zero/Upslope Entry: Enable slope-based entry logic
Use HMA Cross Entry: Enable HMA crossover signals
HMA Length: Adjust the Hull Moving Average period (default: 20)
Best Use Cases:
Swing trading on daily and 4-hour timeframes
Identifying pullback entries in uptrends
Combining multiple confirmation signals for high-probability setups
Filtering entries in momentum-based strategies
Strategy Flexibility:
This indicator allows you to use each entry method independently or combine multiple methods for confluence. Test different combinations to find what works best for your trading style and the instruments you trade.
Risk Management Note:
This indicator identifies potential entry points but does not provide exit signals or stop-loss levels. Always use proper risk management and combine with your own exit strategy.






















