知行趋势指标【B站 Z哥的黄白线指标】
黄白线指标是由 B站 UP 主 Z哥 总结并分享的一套趋势观察工具。指标以两条核心线——黄线（短周期趋势） 与 白线（长周期趋势） 构成，通过两者之间的相对位置、交叉关系及区域结构，帮助交易者更清晰地判断行情的强弱、趋势方向与潜在转折点。
黄线通常代表短期多空力量的波动，而白线反映更稳定的中期趋势。当黄线向上突破白线时，常视为短期强势启动的信号；反之，当黄线跌破白线时，则可能意味着短线转弱或趋势反转的风险。
该指标适合趋势跟随、顺大逆小的交易逻辑，也可作为交易系统中的辅助判断工具。
The Yellow-White Line Indicator is a trend-analysis tool created and shared by the Bilibili content creator Z-Ge. It is built around two primary lines: the Yellow Line (short-term trend) and the White Line (medium-term trend). By observing the interaction, crossover, and relative position between these two lines, traders can better identify market strength, trend direction, and potential reversal points.
The Yellow Line captures short-term momentum shifts, while the White Line reflects a more stable medium-term trend. When the Yellow Line crosses above the White Line, it often signals improving short-term strength; when it crosses below, it may indicate weakening momentum or a possible trend reversal.
This indicator works well with trend-following systems and can serve as a supplemental confirmation tool in broader trading strategies.
Moving Averages
Mark Minervini SEPA - Balanced
📊 MARK MINERVINI SEPA BALANCED - COMPLETE USER GUIDE
🚀 WHAT IS THIS INDICATOR?
This is a professional swing trading indicator based on Mark Minervini's famous
Trend Template strategy. It automatically identifies high-probability setups where:
✅ Long-term trend is BULLISH (confirmed by moving averages)
✅ Stock is OUTPERFORMING the market (relative strength improving)
✅ Price is CONSOLIDATING (forming a base for breakout)
✅ Volume is CONFIRMING (volume spike on breakout)
Result: CLEAR BUY SIGNALS when everything aligns! 🎯
🎨 WHAT YOU SEE ON YOUR CHART
1️⃣ FOUR MOVING AVERAGE LINES:
🟠 Orange Line (MA 20) = Short-term trend
🔵 Blue Line (MA 50) = Intermediate trend
🟢 Green Line (MA 150) = Long-term trend
🔴 Red Line (MA 200) = Very long-term trend
IDEAL: All lines stacked in order (Orange > Blue > Green > Red)
2️⃣ BACKGROUND COLOR:
🟢 GREEN background = Trend template is VALID (bullish setup ready)
🔴 RED background = Trend template is BROKEN (avoid trading)
3️⃣ DASHBOARD PANEL (Top-Right):
Real-time checklist showing:
✓ 6 core trend template rules
✓ Relative strength status
✓ VCP base quality
✓ Stage classification (S1/S2/S3/S4)
✓ Volume breakout status
4️⃣ VCP BASE BOXES (Blue Rectangles):
Shows where consolidation is happening
This is your potential entry zone
5️⃣ BUY SIGNAL LABEL (Green Text Below Candle):
Green "BUY" label appears when ALL criteria are met
This is your strongest entry signal
6️⃣ STOP LOSS LINE (Red Dashed Line):
Shows your stop loss level (base low)
📖 HOW TO USE - STEP BY STEP
STEP 1: ADD INDICATOR TO CHART
────────────────────────────────
1. Open TradingView chart
2. Click "Indicators" (top toolbar)
3. Search "Minervini SEPA Balanced"
4. Click to add to your chart
5. Use DAILY (1D) timeframe for swing trading
STEP 2: CHECK THE DASHBOARD (Top-Right Panel)
1. Look at all the checkmarks
2. Count how many are GREEN (✓)
3. Check Stage column - is it showing S2 or S1?
STEP 3: LOOK FOR SETUP PATTERNS
─────────────────────────────────
Ideal setup shows:
✓ Dashboard: 10+ criteria are GREEN
✓ Stage: S2 (green) or S1 (orange)
✓ Blue VCP box visible on chart (base forming)
✓ Moving averages aligned (50 > 150 > 200)
✓ Price above all moving averages
✓ Background is GREEN
STEP 4: WAIT FOR ENTRY SIGNAL
──────────────────────────────
Option A: BUY SIGNAL label appears
→ Green "BUY" label = ALL criteria met
→ ENTER at market price immediately
Option B: Setup looks good but no BUY label yet
→ Wait for price to break above blue VCP box
→ Volume should spike (1.3x or higher)
→ Then enter at breakout
STEP 5: PLACE YOUR TRADE
────────────────────────
📍 ENTRY: At breakout from VCP base
📍 STOP LOSS: Base low (red dashed line)
📍 TARGET: 20-30% move (typical Minervini target)
📍 HOLDING TIME: 2-4 weeks
🎯 BALANCED VERSION - WHY IT'S BETTER FOR INDIAN STOCKS
Volume Multiplier: 1.3x (NOT 1.5x)
→ Original was too strict for Indian market
→ 1.3x is realistic and catches good breakouts
→ Results: 5-10 signals per stock per year (tradeable!)
Trend Template: Core 6 rules (NOT all 8)
→ Focuses on the most important rules
→ Still maintains quality, but more flexible
→ Works better with Indian stock behavior
Stage Allowed: S1 OR S2 (NOT just S2)
→ Catches earlier moves
→ Allows you to enter sooner
→ But maintains quality with other criteria
📊 DASHBOARD INDICATORS - WHAT EACH MEANS
TREND SECTION (Core 6 Rules):
─────────────────────────────
P>200 ✓ = Price above 200-day MA (long-term uptrend)
150>200 ✓ = MA150 above MA200 (MA alignment)
200↑ ✓ = MA200 trending up (uptrend accelerating)
50>150 ✓ = MA50 above MA150 (intermediate uptrend)
50>200 ✓ = MA50 above MA200 (overall alignment)
P>50 ✓ = Price above MA50 (pullback level intact)
RS STRENGTH SECTION:
───────────────────
RS↑ ✓ = Stock outperforming NIFTY index
✗ = Stock underperforming NIFTY (avoid)
VCP BASE SECTION:
────────────────
In Base ✓ = Consolidation zone detected
✗ = No consolidation yet
Vol Dry ✓ = Volume drying up (base tightening)
✗ = Normal volume (consolidation weak)
ENTRY SECTION:
──────────────
Stage S2 = GREEN (best for swing trading)
S1 = ORANGE (acceptable, early entry)
S3 = RED (avoid - distribution phase)
S4 = RED (avoid - downtrend)
Vol Brk ✓ = Volume confirmed breakout (1.3x+ average)
✗ = Weak volume (breakout likely to fail)
❌ WHEN NOT TO TRADE
SKIP if ANY of these are true:
❌ Background is RED (trend template broken)
❌ Stage is S3 or S4 (distribution or downtrend)
❌ Vol Brk is RED (volume not confirming)
❌ RS↑ is ORANGE/RED (stock underperforming market)
❌ Blue box is NOT visible (no base forming)
❌ Base is very loose/messy (not tight enough)
❌ Moving averages are not aligned
❌ Less than 8 GREEN criteria on dashboard
⚙️ CUSTOMIZATION GUIDE
Click ⚙️ gear icon next to indicator name to adjust settings:
VOLUME MULTIPLIER (Default: 1.3)
────────────────────────────────
Current: 1.3x = BALANCED for Indian stocks ✅
Change to 1.2x = MORE signals (more false breakouts)
Change to 1.4x = FEWER signals (very selective)
Change to 1.5x = ORIGINAL (too strict, rarely triggers)
RS BENCHMARK (Default: NSE:NIFTY)
─────────────────────────────────
Current: NSE:NIFTY = Large-cap stocks
Change to NSE:NIFTY500 = Mid-cap stocks
Change to NSE:NIFTYNXT50 = Small-cap stocks
MINIMUM BASE DAYS (Default: 20)
───────────────────────────────
Current: 20 days = 4 weeks consolidation ✅
Change to 15 = Shorter bases (more frequent signals)
Change to 25 = Longer bases (higher quality)
ATR% FOR TIGHTNESS (Default: 1.5)
──────────────────────────────────
Current: 1.5% = BALANCED ✅
Change to 1.0% = ONLY very tight bases
Change to 2.0% = Loose bases accepted
📈 REAL TRADING EXAMPLE
SCENARIO: Trading RELIANCE over 4 weeks
WEEK 1: Base Starts Forming
────────────────────────────
- Price consolidating around ₹1,500
- Dashboard: 5/14 criteria green
- Action: MONITOR (not ready yet)
WEEK 2: Base Tightens
─────────────────────
- Price still ₹1,500 (no movement)
- VCP box appearing on chart
- Dashboard: 8/14 criteria green
- Vol Dry: ✓ (volume shrinking - good!)
- Action: MONITOR (almost ready)
WEEK 3: Perfect Setup Formed
──────────────────────────────
- Base still ₹1,500
- Dashboard: 12/14 criteria GREEN ✓✓✓
- Stage: S2 ✓
- Blue box tight and clean
- Action: WAIT FOR BREAKOUT
WEEK 4: Breakout Happens!
──────────────────────────
- Price closes at ₹1,550 (breakout!)
- Volume: 1.6x average (exceeds 1.3x requirement)
- Dashboard: BUY SIGNAL ✓ (all criteria met)
- Action: ENTER TRADE
Entry: ₹1,550
Stop: ₹1,480 (base low)
Target: ₹1,850 (20% move)
RESULT: +19.4% profit in 2 weeks! ✅
💡 PRO TIPS FOR BEST RESULTS
1. USE DAILY (1D) CHARTS ONLY
Weekly charts = Fewer signals, slower moves
Daily charts = Best for swing trading ✅
Intraday charts = Too many false signals
2. SCAN MULTIPLE STOCKS
Don't just watch 1 stock
Scan 50-100 stocks daily
More stocks = More opportunities
3. WAIT FOR PERFECT ALIGNMENT
Don't enter on 8/14 criteria
Wait for 12+/14 criteria
This increases win rate significantly
4. VOLUME IS CRITICAL
Always check Vol Brk column
No volume = Likely to fail
1.3x+ volume = Good breakout
5. COMBINE WITH YOUR OWN ANALYSIS
Indicator gives technical signals
You add your own fundamental view
Strong fundamental + technical = Best trade
6. BACKTEST ON HISTORICAL DATA
Use TradingView Replay feature
Go back 6-12 months
See how many signals appeared
Verify which were profitable
7. KEEP A TRADING JOURNAL
Track entry, exit, profit/loss
Note what worked and what didn't
Continuous improvement!
⚠️ IMPORTANT DISCLAIMERS
✓ This indicator is for educational purposes only
✓ Past performance does not guarantee future results
✓ Always use proper risk management (position sizing, stop loss)
✓ Never risk more than 2% of your account on one trade
✓ Backtest thoroughly before using with real money
✓ The indicator provides technical signals, not investment advice
✓ Losses can occur - trade at your own risk
🎯 QUICK START CHECKLIST
Before entering ANY trade, verify:
□ Dashboard shows mostly GREEN (10+ criteria)
□ Stage = S2 (green) or S1 (orange)
□ Blue VCP box visible on chart
□ Price just broke above the box
□ Volume is high (1.3x+ average, Vol Brk = ✓)
□ Moving averages aligned (50 > 150 > 200)
□ RS is uptrending (RS↑ = ✓)
□ BUY SIGNAL label appeared (optional but strong confirmation)
ALL CHECKED? → READY TO BUY! 🚀
📞 FOR HELP & SUPPORT
Questions about the indicator?
→ Check the dashboard - each criterion has a specific meaning
→ Review this guide - answers most common questions
→ Backtest on historical data using TradingView Replay
→ Start with paper trading (no real money) first
🎓 LEARNING RESOURCES
To understand Mark Minervini's method better:
→ Read: "Trade Like a Stock Market Wizard" by Mark Minervini
→ Watch: TradingView educational videos on trend templates
→ Practice: Backtest this indicator on 6-12 months of historical data
→ Learn: Study successful traders who use similar strategies
GOOD LUCK WITH YOUR TRADING! 🚀📈
May your trends be bullish and your breakouts be explosive! 🎯
EMA 20The EMA 20 (Exponential Moving Average 20) is a simple trend-following indicator designed to smooth price fluctuations and highlight short-term market direction.
This script plots a 20-period exponential moving average in red, allowing traders to quickly assess whether price is trading above or below the short-term trend.
When price remains above the EMA 20, it often suggests bullish strength; when price falls below it, it may indicate short-term weakness.
This indicator is minimal, clear, and useful as a foundational trend reference in any trading system.
All-in-One (PHT)All-in-One (PHT) — Modular Multi-Tool Market Analyzer (Pine Script v6)
All-in-One (PHT) is a complete, modular market-analysis toolkit designed for traders who want clean, reliable, and professional-grade charting - in a single indicator.
Built using Pine Script® v6 and structured with reusable PHT-Libraries (EMA Band, Bollinger Band, Fractal, Session), this indicator delivers clarity, precision, and consistent performance across all markets and timeframes.
Unlike traditional indicators that mix logic and visuals, AIO (PHT) uses a fully modular architecture. All calculations come from dedicated libraries, and this main script focuses purely on visual output and clean plotting.
This ensures:
Stable plot references
Zero repainting in all included modules
High performance even with complex overlays
Easy extensibility for future upgrades
🔥 Included Modules
1. EMA Band (PHT Library)
A triple-EMA band designed for trend clarity and structure.
Provides:
EMA of High
EMA of Close
EMA of Low
Band fill visualization
Ideal for identifying trend strength, momentum pockets, and mean-reversion zones.
2. Bollinger Band Suite
A complete Bollinger framework with:
SMA / EMA / WMA midline options
Dual standard-deviation envelopes
Multi-zone band fills (upper, middle, lower)
User-controlled visibility for each layer
Perfect for volatility detection, squeeze identification, and precision envelope trading.
3. Fractal Engine (High/Low Pivots)
Fast, reliable fractal detection using user-defined left/right periods.
Features:
Pivot Highs & Pivot Lows
Multiple marker sizes (Tiny → Large)
Zero-lag plotting with proper offset handling
Useful for swing structure, breakout confirmation, and automated level marking.
4. Market Session Tracker
A powerful session-mapping module that visually highlights market sessions with:
Dynamic session boxes
High & Low markers
Persistent historical sessions
Auto-managed labels, lines, and live updates
Timezone-aware session boundaries (supports IANA zones)
Designed for identifying daily ranges, session liquidity, volatility pockets, and market timing.
🧠 Why This Indicator Is Different
Most “all-in-one” tools mix plotting, logic, and calculations in a single heavy script, causing lag, reference instability, and repainting issues.
All-in-One (PHT) solves this by using a Pine v6 library architecture:
Each component is computed in its own library
The main script handles only visuals
No hidden code, no repainting tricks
Maximum clarity and maintainability
This design mirrors professional software architecture:
clear separation of logic, visuals, and user interface.
🎯 Ideal For
Trend traders
Scalpers & intraday traders
Swing and positional traders
Volatility analysts
Structure-based price action traders
Anyone who wants multiple high-quality tools in one clean indicator
Whether you analyze markets manually or build algorithmic systems, AIO (PHT) provides a solid foundation.
⚙️ Features at a Glance
Fully modular Pine v6 design
Complete EMA band engine
Advanced Bollinger band system (multi-deviation, multi-fill)
Configurable fractal high/low markers
Smart session boxing with history
Clean visuals and transparent settings
No repainting
Fully customizable colors & visibility
Optimized for performance
💡 How to Use
Choose the modules you want to display (EMA, BB, Fractals, Sessions).
Adjust lengths, deviations, or fractal periods as per your trading style.
Use session boxes to understand volatility timing.
Combine bands + fractals for advanced structure-based decisions.
The indicator is designed to overlay on price for maximum clarity.
🚀 Future Upgrades
The PHT framework supports smooth future expansion. Planned modules include:
ATR/volatility engines
Trend switches
Supertrend/Donchian plugins
Volume profile extensions
Updates will remain backward compatible across all modules.
⭐ Summary
All-in-One (PHT) is not just another overlay — it’s a complete multi-tool trading framework built using professional engineering practices in Pine Script v6.
If you want cleaner charts, smarter signals, and a high-performance modular system, this indicator gives you everything in one reliable package.
Single AHR DCA (HM) — AHR Pane (customized quantile)Customized note
The log-regression window LR length controls how long a long-term fair value path is estimated from historical data.
The AHR window AHR window length controls over which historical regime you measure whether the coin is “cheap / expensive”.
When you choose a log-regression window of length L (years) and an AHR window of length A (years), you can intuitively read the indicator as:
“Within the last A years of this regime, relative to the long-term trend estimated over the same A years, the current price is cheap / neutral / expensive.”
Guidelines:
In general, set the AHR window equal to or slightly longer than the LR window:
If the AHR window is much longer than LR, you mix different baselines (different LR regimes) into one distribution.
If the AHR window is much shorter than LR, quantiles mostly reflect a very local slice of history.
For BTC / ETH and other BTC-like assets, you can use relatively long horizons (e.g. LR ≈ 3–5 years, AHR window ≈ 3–8 years).
For major altcoins (BNB / SOL / XRP and similar high-beta assets), it is recommended to use equal or slightly shorter horizons, e.g. LR ≈ 2–3 years, AHR window ≈ 2–3 years.
1. Price series & windows
Working timeframe: daily (1D).
Let the daily close of the current symbol on day t be P_t .
Main length parameters:
HM window: L_HM = maLen (default 200 days)
Log-regression window: L_LR = lrLen (default 1095 days ≈ 3 years)
AHR window (regime window): W = windowLen (default 1095 days ≈ 3 years)
2. Harmonic moving average (HM)
On a window of length L_HM, define the harmonic mean:
HM_t = ^(-1)
Here eps = 1e-10 is used to avoid division by zero.
Intuition: HM is more sensitive to low prices – an extremely low price inside the window will drag HM down significantly.
3. Log-regression baseline (LR)
On a window of length L_LR, perform a linear regression on log price:
Over the last L_LR bars, build the series
x_k = log( max(P_k, eps) ), for k = t-L_LR+1 ... t, and fit
x_k ≈ a + b * k.
The fitted value at the current index t is
log_P_hat_t = a + b * t.
Exponentiate to get the log-regression baseline:
LR_t = exp( log_P_hat_t ).
Interpretation: LR_t is the long-term trend / fair value path of the current regime over the past L_LR days.
4. HM-based AHR (valuation ratio)
At each time t, build an HM-based AHR (valuation multiple):
AHR_t = ( P_t / HM_t ) * ( P_t / LR_t )
Interpretation:
P_t / HM_t : deviation of price from the mid-term HM (e.g. 200-day harmonic mean).
P_t / LR_t : deviation of price from the long-term log-regression trend.
Multiplying them means:
if price is above both HM and LR, “expensiveness” is amplified;
if price is below both, “cheapness” is amplified.
Typical reading:
AHR_t < 1 : price is below both mid-term mean and long-term trend → statistically cheaper.
AHR_t > 1 : price is above both mid-term mean and long-term trend → statistically more expensive.
5. Empirical quantile thresholds (Opp / Risk)
On each new day, whenever AHR_t is valid, add it into a rolling array:
A_t_window = { AHR_{t-W+1}, ..., AHR_t } (at most W = windowLen elements)
On this empirical distribution, define two quantiles:
Opportunity quantile: q_opp (default 15%)
Risk quantile: q_risk (default 65%)
Using standard percentile computation (order statistics + linear interpolation), we get:
Opp threshold:
theta_opp = Percentile( A_t_window, q_opp )
Risk threshold:
theta_risk = Percentile( A_t_window, q_risk )
We also compute the percentile rank of the current AHR inside the same history:
q_now = PercentileRank( A_t_window, AHR_t ) ∈
This yields three valuation zones:
Opportunity zone: AHR_t <= theta_opp
(corresponds to roughly the cheapest ~q_opp% of historical states in the last W days.)
Neutral zone: theta_opp < AHR_t < theta_risk
Risk zone: AHR_t >= theta_risk
(corresponds to roughly the most expensive ~(100 - q_risk)% of historical states in the last W days.)
All quantiles are purely empirical and symbol-specific: they are computed only from the current asset’s own history, without reusing BTC thresholds or assuming cross-asset similarity.
6. DCA simulation (lightweight, rolling window)
Given:
a daily budget B (input: budgetPerDay), and
a DCA simulation window H (input: dcaWindowLen, default 900 days ≈ 2.5 years),
The script applies the following rule on each new day t:
If thresholds are unavailable or AHR_t > theta_risk
→ classify as Risk zone → buy = 0
If AHR_t <= theta_opp
→ classify as Opportunity zone → buy = 2B (double size)
Otherwise (Neutral zone)
→ buy = B (normal DCA)
Daily invested cash:
C_t ∈ {0, B, 2B}
Daily bought quantity:
DeltaQ_t = C_t / P_t
The script keeps rolling sums over the last H days:
Cumulative position:
Q_H = sum_{k=t-H+1..t} DeltaQ_k
Cumulative invested cash:
C_H = sum_{k=t-H+1..t} C_k
Current portfolio value:
PortVal_t = Q_H * P_t
Cumulative P&L:
PnL_t = PortVal_t - C_H
Active days:
number of days in the last H with C_k > 0.
These results are only used to visualize how this AHR-quantile-driven DCA rule would have behaved over the recent regime, and do not constitute financial advice.
MaruMaroo's Multi-MA & BB & Ichimoku매매할 때 가장 기본적으로 세팅하는 이동평균선, 볼린저 밴드, 일목균형표를 스크립트 하나로 합쳤습니다.
무료 계정이라 지표 개수 제한(3개) 때문에 불편하셨거나, 이것저것 추가해서 차트 지저분해지는 거 싫으신 분들 쓰시면 됩니다. 복잡한 거 싹 빼고 딱 필요한 기능만 넣어서 최적화했습니다.
7줄 이동평균선 (Rainbow MA): 단기부터 장기까지 7개 라인을 한 번에 보여줍니다. 설정에서 단순(SMA), 지수(EMA)뿐만 아니라 가중(WMA), 거래량가중(VWMA) 등으로 바꿀 수 있습니다.
헷갈림 방지 라벨: 이평선이 많으면 뭐가 60일선이고 120일선인지 헷갈리는데, 선 끝자락에 숫자(기간)가 뜨도록 해서 보기 편하게 만들었습니다. (글자 크기도 키워둠)
볼린저 밴드 & 일목균형표: 표준편차 1, 2배수 밴드랑 일목 구름대까지 다 포함되어 있습니다.
커스텀: 안 쓰는 기능은 설정에서 체크 해제하면 깔끔하게 사라집니다. 입맛대로 세팅해서 쓰세요.
I combined the most essential trading indicators into a single script to keep the chart clean and bypass the indicator limit.
If you are tired of switching between indicators or have a cluttered screen, this "All-in-One" setup is for you. It includes everything you need for trend and volatility analysis.
7 Moving Averages: Covers short to long-term trends (Rainbow setup). You can switch types between SMA, EMA, SMMA, WMA, and VWMA in the settings.
Smart Labels: Added labels at the end of each MA line so you can instantly see which line corresponds to which period (e.g., 20, 60, 120).
Bollinger Bands & Ichimoku: Includes Double Bollinger Bands (StdDev 1 & 2) and the full Ichimoku Cloud system.
Fully Customizable: You can toggle each component ON or OFF in the settings.
Buy Sell Signal — Ema crossover [© gyanapravah_odisha]Professional EMA Crossover + ATR Risk Control
Trade with confidence using a complete system that gives you clear entries, smart exits, and full automation.
Includes:
Precision 5/13 EMA crossover signals
ATR-based adaptive stop-loss
Multiple take-profit levels (with intermediate targets)
Fully customizable R:R ratios
ATR + volume filters to avoid choppy markets
Real-time trade dashboard
All alerts included
Built for: Crypto, Forex, Stocks • Scalping & Swing Trading
Built for you: Free, open-source & made for real-world trading.
VWAP & EMA9 Cross AlertAlerts the user when VWAP and EMA 9 cross. It gives a general direction of the market to help make decisions.
VWAP & EMA9 Cross AlertAlerts when EMA9 and VWAP Cross. This provides an indicator of general market direction based on these 2 indicators.
Call Put on same chart [PRO]Description:
This is the PRO version of all ready free available indicator on tradingview
Call Put on same chart
In vesrion you will get AFMA and REMA .
This innovative indicator provides a unique, real-time visualization of both Call and Put option prices for the same strike price directly on your TradingView chart. Designed for active options traders, it simplifies the analysis of price action for specific strikes, helping you quickly identify significant levels and potential shifts in market interest.
important : choose only put strike call strike automatically plot on chart
This indicator works with Indian market (nifty , banknifty ,sensex ,crudeoil , naturalgas )
Key Features:
Integrated Call & Put Prices: Clearly displays the prices of both Call and Put options for a user-defined strike price within the same indicator pane, offering an immediate side-by-side comparison.
Real-time Data: Plots live option price updates, allowing you to monitor the dynamic interplay between Calls and Puts throughout the trading session.
Intuitive Visualization: Transforms complex options data into easily digestible lines on your chart, making it easier to spot trends, relative strength, and support/resistance levels at crucial strikes.
User-Friendly Inputs: Simple input fields allow you to easily select the underlying symbol, expiry date, and the specific strike price you wish to monitor.
Enhanced Options Analysis: A valuable tool for gauging market participants' expectations and positioning at key psychological or technical levels.
Important Note:
This indicator provides a visual tool for options analysis and does not constitute financial advice.
Options trading involves significant risk and may not be suitable for all investors.
Users are encouraged to combine this tool with their own comprehensive analysis and risk management strategies.
Mebane Faber GTAA 5In 2007, Mebane Faber published research that challenged the conventional wisdom of buy-and-hold investing. His paper, titled "A Quantitative Approach to Tactical Asset Allocation" and published in the Journal of Wealth Management, demonstrated that a simple timing mechanism could reduce portfolio volatility and drawdowns while maintaining competitive returns (Faber, 2007). This indicator implements his Global Tactical Asset Allocation strategy, known as GTAA5, following the original methodology.
The core insight of Faber's research stems from a century of market data. By analyzing asset class performance from 1901 onwards, Faber found that a ten-month simple moving average served as an effective trend filter across major asset classes. When an asset trades above its ten-month moving average, it tends to continue its upward trajectory; when it falls below, significant drawdowns often follow (Faber, 2007, pp. 12-16). This observation aligns with momentum research by Jegadeesh and Titman (1993), who documented that intermediate-term momentum persists across equity markets.
The GTAA5 strategy allocates capital equally across five diversified asset classes: domestic equities (SPY), international developed markets (EFA), aggregate bonds (AGG), commodities (DBC), and real estate investment trusts (VNQ). Each asset receives a twenty percent allocation when trading above its ten-month moving average. When an asset falls below this threshold, its allocation moves to short-term treasury bills (SHY), creating a dynamic cash position that scales with market risk (Cambria Investment Management, 2013).
The strategy's historical performance during market crises illustrates its function. During the 2008 financial crisis, traditional sixty-forty portfolios experienced drawdowns exceeding forty percent. The GTAA5 strategy limited losses to approximately twelve percent by reducing equity exposure as prices declined below their moving averages (Faber, 2013). This asymmetric return profile represents the strategy's primary characteristic.
This implementation uses monthly closing prices retrieved via request.security() to calculate the ten-month simple moving average. This distinction matters, as approximations using daily data (such as a 200-day moving average) can generate different signals during volatile periods. Monthly data ensures the indicator produces signals consistent with published academic research.
The indicator provides position monitoring, automatic rebalancing detection on either the first or last trading day of each month, and share calculations based on user-defined capital. A dashboard displays current trend status for each asset class, target versus actual weightings, and trade instructions for rebalancing. Performance metrics including annualized volatility and Sharpe ratio provide ongoing risk assessment.
Several limitations warrant acknowledgment. First, the strategy rebalances monthly, meaning it cannot respond to intra-month market crashes. Second, transaction costs and taxes from monthly rebalancing may reduce net returns for taxable accounts. Third, the ten-month lookback period, while historically robust, offers no guarantee of future effectiveness. As Ilmanen (2011) notes in "Expected Returns", all timing strategies face the risk of regime change, where historical relationships break down.
This indicator serves educational purposes and portfolio monitoring. It does not constitute financial advice.
References:
Cambria Investment Management (2013). Global Tactical Asset Allocation: An Introduction to the Approach. Research Report, Los Angeles.
Faber, M.T. (2007). A Quantitative Approach to Tactical Asset Allocation. Journal of Wealth Management, Spring 2007, pp. 9-79.
Faber, M.T. (2013). Global Asset Allocation: A Survey of the World's Top Asset Allocation Strategies. Cambria Investment Management, Los Angeles.
Ilmanen, A. (2011). Expected Returns: An Investor's Guide to Harvesting Market Rewards. John Wiley and Sons, Chichester.
Jegadeesh, N. and Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), pp. 65-91.
2t's MA 50, MA 150, ATRThis indicator displays three key technical signals on the chart:
SMA 50 – Short-term trend direction
SMA 150 – Medium-term trend direction
ATR – Market volatility (Average True Range)
Line colors and lengths can be customized in the settings.
The ATR is plotted on the same chart for quick volatility reference without needing a separate panel.
This tool is designed for traders who want a clean, lightweight view of trend strength and volatility in a single indicator.
ATM PROThe world’s strongest indicator that combines multiple indicators together, providing you with entry points, targets, and stop-loss levels with extreme accuracy. You can adjust its inputs to suit Forex and crypto pairs according to your needs. It contains these tools, and you can modify them based on your requirements.
المؤشر الاقوى عالميا الذي جمع عدة مؤشرات معا , من خلاله سيعطيك نقاط ( دخول واهداف وايقاف خسارة ) بدقة متناهية وتستطيع ان تعدل المدخلات ليتناسب مع ازواج الفوركس والكريبتو بشكل يتناسب مع ما تحتاجه
يحتوي على هذه الادوات ويمكنك تعديلها حسب متطلباتك
SHORT EMA
LONG EMA
TREND EMA
MACD SHORT
MACD LONG
MACD SIGNAL
RSI LENGTH
ATR LENGTH
VOLUME MULTIPLIER
ATR TARGET 1.2.3.4.5
STOP LOSS MULTIPLIER
BY ATM TEAM
Support Line [by rukich]🟠 OVERVIEW
The indicator displays a floating line that acts as a support level. It's important to remember that any support level can be broken.
🟠 COMPONENTS
The indicator is based on the percentage difference between the closes of the n-th bar back and the current bar. The resulting percentage is smoothed to remove noise.
The indicator is displayed as a green-red line (the colors don’t carry meaning — they are used just for visual variety). When the price touches the support level, the bar background turns green.
For convenience, there is a label on the right side of the indicator showing the current value of the line.
🟠 HOW TO USE
The indicator includes several settings that can be adjusted, though optimal defaults are provided.
Settings:
Timeframe — specifies which timeframe’s data is used to calculate the line.
Candles back — specifies how many bars back from the current one are used.
The indicator should be used according to general support-zone logic. Since no support zone guarantees a price bounce, the optimal approach is to confirm the reaction after the price touches the line.
Example of use:
In the current example, the Timeframe in the indicator settings is set to 1 hour, and the currently open chart is 5 minutes. This means that on the 5-minute chart we see a 1-hour line. After the price touches the support line, you need to see a confirmation of the reaction to understand whether the support zone is holding the price.
In the examples, reaction confirmation is shown through: the formation of an M5 shift and the invalidation of an FVG M5- (the latter is more risky than the M5 shift):
🟠 CONCLUSION
The indicator shows a floating support zone, and when tested, you should confirm the reaction on a lower timeframe.
DTR Trend EntryDTR Trend Entry is a trend-based entry tool designed to highlight market conditions and generate clear long and short signals based on price behavior around a moving average. It helps traders quickly identify bullish trends, bearish trends, consolidation zones, and potential breakout entries.
The indicator uses a simple moving average (SMA) of user-defined length to determine trend direction. A bullish trend is confirmed when the price stays above the moving average for consecutive bars, while a bearish trend is confirmed when the price stays below it. ATR (Average True Range) is also calculated, and price proximity to the moving average is used to detect consolidation, marking periods where the market is likely ranging and preparing for a move.
The chart background is shaded green during bullish trends, red during bearish trends, and yellow during consolidation to make market conditions easy to see at a glance. Entry signals appear when price crosses the moving average in the direction of the established trend: a crossover above the moving average triggers a long entry signal in a bullish zone, and a crossunder triggers a short entry signal in a bearish zone. These signals are marked on the chart with labels and can also be sent as alerts.
DTR Trend Entry is useful for traders who prefer trend-following approaches, breakout strategies, or structure-based entries. It works well on most timeframes and helps avoid late or low-quality trades by filtering entries through trend confirmation and volatility conditions.
Moving Average 13 Exponential//@version=6
indicator(title="Moving Average 13 Exponential", shorttitle="EMA", overlay=true, timeframe="", timeframe_gaps=true)
len = input.int(9, minval=1, title="Length")
src = input(close, title="Source")
offset = input.int(title="Offset", defval=0, minval=-500, maxval=500, display = display.data_window)
out = ta.ema(src, len)
plot(out, title="EMA", color=color.yellow, offset=offset)
// Smoothing MA inputs
GRP = "Smoothing"
TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maTypeInput = input.string("None", "Type", options = , group = GRP, display = display.data_window)
var isBB = maTypeInput == "SMA + Bollinger Bands"
maLengthInput = input.int(14, "Length", group = GRP, display = display.data_window, active = maTypeInput != "None")
bbMultInput = input.float(2.0, "BB StdDev", minval = 0.001, maxval = 50, step = 0.5, tooltip = TT_BB, group = GRP, display = display.data_window, active = isBB)
var enableMA = maTypeInput != "None"
// Smoothing MA Calculation
ma(source, length, MAtype) =>
switch MAtype
"SMA" => ta.sma(source, length)
"SMA + Bollinger Bands" => ta.sma(source, length)
"EMA" => ta.ema(source, length)
"SMMA (RMA)" => ta.rma(source, length)
"WMA" => ta.wma(source, length)
"VWMA" => ta.vwma(source, length)
// Smoothing MA plots
smoothingMA = enableMA ? ma(out, maLengthInput, maTypeInput) : na
smoothingStDev = isBB ? ta.stdev(out, maLengthInput) * bbMultInput : na
plot(smoothingMA, "EMA-based MA", color=color.yellow, display = enableMA ? display.all : display.none, editable = enableMA)
bbUpperBand = plot(smoothingMA + smoothingStDev, title = "Upper Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
bbLowerBand = plot(smoothingMA - smoothingStDev, title = "Lower Bollinger Band", color=color.green, display = isBB ? display.all : display.none, editable = isBB)
fill(bbUpperBand, bbLowerBand, color= isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display = isBB ? display.all : display.none, editable = isBB)
XAU Power Meter + HTF FVG SystemWhat is this?
XAU Power Meter + HTF FVG System is an execution-support tool for XAUUSD that combines:
Local trend & momentum on your entry timeframe (e.g. 5m)
Volatility regime (ATR)
Higher-timeframe FVG bias (e.g. 1H)
The goal is simple: filter out low-quality trades and size up only when the market actually moves.
Core Components
1. LTF Trend (MA Stack 20 / 50 / 200)
The indicator builds a “stacked trend” using three MAs:
Bullish trend → price > MA20 > MA50 > MA200
Bearish trend → price < MA20 < MA50 < MA200
Anything else → RANGE
This gives a clean directional bias for intraday execution.
2. CCI Impulse (“Power”)
The CCI block measures the strength of the current move via |CCI| and classifies it into 4 bands:
LOW – weak momentum, usually not worth it
MEDIUM – acceptable impulse
HIGH – strong impulse
EXTREME – very strong, potential blow-off / late entry zone
These bands are used both for signal quality (Grade) and for position size guidance.
3. ATR Volatility Regime
ATR(14) is compared against its own SMA(100) to classify volatility:
QUIET – ATR < K * ATR_slow
NORMAL
ACTIVE – ATR > K * ATR_slow
You don’t want to size up in a dead market. ATR regime is used inside the Grade calculation.
4. Grade System (A / B / C / X)
The indicator compresses Trend + CCI + ATR into a single Grade:
A – In trend, strong impulse (HIGH/EXTREME), active volatility → top setups
B – In trend, at least MEDIUM impulse, acceptable volatility → good setups
C – In trend, but weaker conditions → borderline, be selective
X – Out of trend or no momentum → avoid
Internally, execution signals require Grade ≥ B for two bars in a row, to avoid one-bar “fake” spikes.
5. HTF FVG Bias (e.g. 1H)
On a higher timeframe (default: 1H), the script runs a Fair Value Gap engine with:
EMA 50/200 trend filter
ATR-based body filter (minimum candle strength)
Wilder ADX filter (trend strength)
Deep retest requirement inside the FVG zone
Optional zone auto-expiry and delete-on-use
It returns:
BUY (bullish HTF FVG confirmed)
SELL (bearish HTF FVG confirmed)
NONE (no valid zone active)
You can control how strict this bias is used via a “Strict: require active HTF FVG for entry” checkbox:
Strict OFF (default) → HTF bias can block trades against a strong HTF signal, but allows trades when HTF is neutral.
Strict ON → LTF entries are allowed only when HTF has an active FVG in the same direction (very selective).
HTF events are shown on the chart as HTF BUY / HTF SELL markers.
Execution Signals (LTF LONG / SHORT)
On your entry timeframe (e.g. 5m), the script generates LONG / SHORT arrows when:
Trend is clearly bullish or bearish (MA stack aligned),
Grade ≥ B for two consecutive bars,
HTF bias conditions are satisfied (depending on the strict mode).
These arrows are not a full auto-strategy, but a high-quality execution cue:
“Trend OK + Momentum OK + Volatility OK + HTF not against you.”
Dashboard
A compact dashboard in the corner shows, in real time:
Trend – UP / DOWN / RANGE (20/50/200 stack)
Impulse (CCI) – LOW / MEDIUM / HIGH / EXTREME
Volatility (ATR) – QUIET / NORMAL / ACTIVE
Size Multiplier – suggested risk sizing factor based on impulse
Grade – A / B / C / X
HTF FVG – BUY / SELL / NONE
This lets you sanity-check the context before pressing the button, not after the loss.
Recommended Use
Instrument: XAUUSD
Timeframe: 5m (scalping / intraday), but can be tested on 15m/1H as well
HTF: 1H by default (can experiment with 4H)
Focus on:
Grade A/B only
Strict mode ON for more institutional, fewer but higher-quality trades
Size up only when both impulse and volatility are supportive
Disclaimer
This script is a decision-support tool, not financial advice and not a guarantee of profit.
Always forward-test, understand the logic, and use your own risk management.
Bark or BiteBark or Bite – Trend Confirmation Engine (Invite-Only)
Bark or Bite is a trend validation system designed to detect true momentum shifts rather than every crossover or touch of a moving average. The indicator does not act on a single signal. It requires multi-condition confirmation before displaying any output, reducing false entries during chop and sideways price action.
At its core, Bark or Bite combines two distinct forms of market analysis:
1. Momentum qualification
Rather than reacting every time momentum changes, Bark or Bite monitors internal momentum alignment and stores directional shifts in memory. Momentum alone does nothing until structure confirms.
2. Trend filtering with delayed confirmation
The indicator continuously evaluates whether price has meaningfully committed above or below its underlying trend structure. A signal is not created the moment price fluctuates around trend. It is only registered once the market proves direction.
Unique confirmation logic (what makes Bark or Bite different):
Unlike common indicators that require conditions to occur on the same candle, Bark or Bite uses sequential confirmation logic. This allows:
Structure to confirm after momentum
Momentum to confirm after structure without forcing both to occur in the same bar.
This design allows valid trend entries that traditional indicators miss and prevents early entries during fake breakouts or short-lived reversals.
Candle Interpretation
Yellow candle = confirmed bullish trend ignition
Blue candle = confirmed bearish trend ignition
These are not momentum alerts. They represent directional shifts that have already passed multiple logical checks .
Intended Use
Bark or Bite is NOT:
A scalping indicator
A crossover toy
A signal spam tool
It is built for:
Swing traders
Trend traders
Directional bias alignment
Avoiding false starts in chop
This indicator is intentionally restrained. It displays fewer, higher-quality signals by design.
Why it is invite-only
Bark or Bite is protected because its logic is not a simple application of public indicators. The system uses:
State-based signal memory
Delayed confirmation logic
Multi-stage validation rules
Releasing the source openly would immediately cause replication without attribution. Access is therefore controlled.
Final Note
Bark or Bite does not predict the market.
It filters it.
You are not told to trade every movement.
You are told when the market has committed.
Z-EMA Fusion BandsDesigned with crypto markets in mind, particularly Bitcoin , it builds on the concept that the 1-Week 50 EMA often serves as a long-term bull/bear market threshold — an area where institutional bias, momentum shifts, and cyclical rotations tend to occur.
🔹 Core Components & Synergies:
1. 1W 50 EMA (Higher Timeframe)
- This EMA is calculated on a weekly timeframe, regardless of your current chart.
- In crypto, price above the 1W 50 EMA typically aligns with long-term bull market phases, while extended periods below can signify bearish macro structure.
- The slope of the EMA is also analyzed to add directional confidence to trend strength.
2. ±1 Standard Deviation Bands
- Surrounding the 50 EMA, these bands visualize normal price dispersion relative to trend.
- When price consistently hugs or breaks outside these bands, it often reflects market expansion, volatility events, or mean-reversion opportunity.
3. Z-Score Gradient Fill
- The area between the bands is filled using a Z-score-based gradient, which dynamically adjusts color based on how far price is from the EMA (in terms of standard deviations).
- Color shifts from aqua (near EMA) to fuchsia (far from EMA) help you spot price compression, equilibrium, or overextension at a glance.
- The fill also uses transparency scaling, making it fade as price stretches further, emphasizing the core structure.
4. Directional EMA Coloring
- The EMA line itself is colored based on:
- The slope of the EMA (rising/falling)
- Whether the HTF candle is bullish or bearish
- This provides intuitive color-coded confirmation of momentum alignment or potential exhaustion.
5. Price/EMA Divergence Detection
- The script detects bullish and bearish divergence between price and the EMA (rather than using a traditional oscillator).
- Bullish Divergence: Price makes a lower low, EMA makes a higher low.
- Bearish Divergence: Price makes a higher high, EMA makes a lower high.
- These signals often mark transitional zones where momentum fades before a trend reversal or correction.
📊 Suggested Uses:
🔸 Swing and Position Trading:
- Use the 1W 50 EMA as a macro-trend anchor.
- Stay long-biased when price is above with positive slope, and short-biased when below.
- Consider entries near band edges for mean-reversion plays, especially if confluence forms with divergence signals.
🔸 Volatility-Based Filtering:
- Use the Z-score fill to identify volatility compression (near EMA) or expansion (edge of bands).
- Combine this with breakout strategies or dynamic position sizing.
🔸 Divergence Confirmation:
- Combine divergence markers with HTF EMA slope for high-probability setups.
- Bullish div + EMA flattening/rising can signal the start of accumulation after a macro dip.
🔸 Multi-Timeframe Analysis:
- Works well as a structural overlay on intraday charts (1H, 4H, 1D).
- Use this indicator to track long-term bias while executing lower timeframe trades.
⚠️ Disclaimer:
This indicator is designed for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset.
Always use proper risk management, and combine with your own analysis, tools, and strategy. Performance in past market conditions does not guarantee future results.
Simple Price ChannelSimple Price Channel
This indicator plots a basic volatility-based channel around a moving average.
Features:
Midline using Simple Moving Average (SMA)
Upper & lower bands using ATR or true range
Channel fill for easy trend visualisation
This script is designed for educational and analytical purposes only.
It does not provide signals, alerts, or financial advice.
4H EMA 21/30 Cloud on 15mThis indicator displays the 4-hour EMA 21 and EMA 30 as a dynamic cloud directly on the 15-minute chart, providing a clean and reliable higher-timeframe trend filter for intraday and scalping setups.
The cloud turns:
Green when EMA21 > EMA30 → bullish HTF trend
Red when EMA21 < EMA30 → bearish HTF trend
Because the 4H EMA 21/30 combination tracks mid-term momentum and trend structure extremely well, this indicator helps traders avoid counter-trend trades, time pullbacks more effectively, and align entries with dominant higher-timeframe flow.
Perfect for traders using:
Price Action
FVG / Imbalance concepts
CHOCH/BOS structure
Liquidity-based models
ICT-style intraday execution
Use the 4H cloud as your HTF bias anchor, and execute trades using your own entry model on the 15m timeframe.
