Playbook Time Range-Epoch EngineDescription
Playbook Time Range-Epoch Engine is an advanced structural analysis tool designed under the "TIME × PRICE" framework.
Inspired by the foundational logic of ICT Killzones + Pivots (TFO) , this script has been fully re-engineered and extended to support granular timeframes, multiple anchor modes, and precise fiscal cycle management.
🚀 KEY EXTENSIONS & FEATURES
1. Comprehensive Anchor System (DWMQTY + Intraday)
Unlike standard tools limited to D/W/M, this engine supports a full spectrum of structural anchors:
⦁ Intraday: 6H, 8H Open & Separators.
⦁ Daily (D), Weekly (W), Monthly (M).
⦁ Advanced Cycles: 10-Day Cadence (C10), Quarter (Q), Tertile (T), and Year (Y).
⦁ Auto-calculated numbering for Tertiles (4-Month) and Fiscal Quarters.
2. Advanced Anchor Modes
Switch between 3 different anchor logic systems to fit any broker or trading style:
⦁ SERVER TIME: Aligns strictly with your chart’s broker time.
⦁ MIDNIGHT OPEN: Anchors to local 00:00 daily (Custom Fiscal logic supported).
⦁ CUSTOM EPOCH : User-defined rolling epoch (e.g., Fiscal Year starting Oct 10) for precise cycle tracking.
3. Flexible Session Windows (10 Slots)
Extended from standard 5 killzones to 10 customizable Time Windows (TW).
TW is not limited to just killzones; feel free to fully utilize it for Asia/London/NY sessions, 3-6-9 Time Theory zones, ICT Macro Time, and many more that suit your strategy!
⦁ Includes Box visualization, Range tracking, and Pivot analysis per session.
⦁ Fully customizable sessions per timezone.
4. Pivot & Range Analytics
⦁ Session Pivots: Auto-draw High/Low pivots for active sessions.
⦁ Mitigation Logic: Automatically manages pivot extension (Stop vs Past Mitigated).
⦁ Range Table: Displays average and current range for each selected session.
5. Visual Customization
⦁ Custom line styles, colors, and labels for every timeframe.
⦁ Label counters (e.g., WO1, QO1, TO1) that adapt based on the selected Anchor Mode.
💡 WHY THIS EXTENDED VERSION?
1. The Midnight Paradox
ICT introduced the concept of "True Day Open" at 00:00, yet often this is merely Calendar Midnight. Where is the real midnight shift in the market? Is that exactly when major decisions are made? The irony is that at 00:00, Market Makers are often still sound asleep. This mode is created for those who seek structure strictly at the day's turn, regardless of who is awake.
2. The Freedom of Custom Epoch
Why include Custom Epoch? Many strategies (e.g., Opening Range Box) dictate that 9:30 AM is "Market Open" . However, that is simply one way of seeing it. Every trader builds their own version of the market, their own "ALGO" . This mode empowers you to define your own truth—to set an epoch that aligns with your specific strategy and logic.
3. The Disclaimer
This indicator is not the Holy Grail.
It is merely a tool, a sophisticated assistant for your eyes. No script can replace perception.
The True Holy Grail
The ultimate indicator is the divine gift entrusted to you yourself: Your Eyes.
📜 CREDITS & INSPIRATION
Inspired by open-source concepts of ICT Killzones + Pivots (TFO) by tradeforopp.
Cicli
Green Pen RN Day Box ATH V2.2 OptimizedGreen Pen V2.2 Optimized is a comprehensive "All-in-One" trading system designed for Price Action traders. It combines powerful pattern recognition (PAT), psychological levels (RN), daily range analysis (Day Box), and All-Time High (ATH) tracking into a single, highly optimized tool.
Google Trends: ETH (Cryptollica)Google Trends: ETH (Cryptollica)
Google Trends data since 2016, Keyword: ETH
LEVENT: Lifetime Estimation via Efficiency-Regime EventLEVENT — Lifetime Estimation via Efficiency-Regime Event Transitions
LEVENT is a research-grade indicator that estimates the remaining structural lifetime of the current market regime.
Unlike trend, volatility, or momentum tools, LEVENT does not measure price movement — it measures how long the current market structure is likely to survive before breaking.
This script implements the LEVENT model published on Zenodo (Bülent Duman, 2026) and is built on top of the open-source DERYA (Dynamic Efficiency Regime Yield Analyzer) microstructural efficiency framework.
What LEVENT measures
LEVENT outputs a single continuous variable L that represents the remaining survival capacity of the active efficiency regime.
High L → the current regime has strong structural endurance
Falling L → the regime is consuming its capacity
L → 0 → regime exhaustion and elevated probability of transition
This makes LEVENT a forward-looking structural time variable, not a price indicator.
What is inside this script
This implementation contains the following components:
1. DERYA (open-source microstructure efficiency)
DERYA is computed from OHLC data as:
Net close-to-close movement divided by total intrabar range
It is smoothed with an EMA and normalized over a rolling window to produce a bounded efficiency state (0–100).
This is an open-source indicator and is explicitly credited in the LEVENT paper.
2. Transition Strength (S)
S measures how unstable the regime is by combining:
the slope of DERYA
the acceleration of DERYA
This is not RSI, MACD, or ATR — it is a state-transition intensity metric.
3. Regime Engine
Markets are classified into four structural regimes:
Expansion
Exhaustion
Collapse
Base / Recovery
A debounce + persistence filter is used to avoid noise-based flickering.
4. Structural Lifetime (LEVENT L)
Each regime is assigned a capacity (Λ) and a fragility (α).
LEVENT then evolves as a jump-and-countdown survival process:
On regime change → L resets to full capacity
Inside a regime → L decays deterministically
High instability → faster decay
This is not a moving average, oscillator, or probability estimate — it is a structural survival clock.
How to use LEVENT
LEVENT is designed to be used as a regime-health overlay, not a buy/sell trigger.
Typical uses:
Detect late-stage trends when L is low
Avoid initiating positions when the regime is near collapse
Compare structural stability across assets
Combine with price, trend, or volume systems
Do not use LEVENT alone as a trading signal.
LEVENT tells you “how long the structure may last”, not “where price will go.”
Visuals
Background colors show the current regime
The LEVENT line shows remaining structural lifetime
A table displays the active regime and current L value
Important notes
LEVENT is not RSI, MACD, ATR, or trend
LEVENT does not predict price direction
LEVENT does not issue entry/exit signals
LEVENT is a research-grade structural model
The DERYA component used here is an open-source microstructural efficiency estimator and is credited accordingly.
Risk and disclaimer
This script is provided for research and analytical purposes only.
It is not financial advice and must not be used as a standalone trading system.
Markets are uncertain.
All trading decisions and risks remain entirely the responsibility of the user.
LEVENT: Lifetime Estimation via Efficiency-regime Event Transitions
Introducing a Regime-Dependent Structural Lifetime Estimator for Financial Markets Using OHLC Data
Author: DUMAN,Bülent
Affiliation: Independent Researcher
zenodo.org
NQ2K# Intelligent Trend Identification
**Adaptive Channels**: Utilizes dynamically adjusted volatility channels that automatically optimize parameters based on market volatility
**Bull-Bear Judgment**: Monitors trend direction changes in real-time, accurately capturing bull-to-bear conversion opportunities
**Signal Confirmation**: Multiple condition verification ensures the reliability of trading signals
# ⏰ Precise Timing Control
**Scheduled Execution**: Built-in intelligent timing trading system that automatically executes during optimal periods
**Cross-day Processing**: Comprehensive handling of overnight positions and cross-trading day logic
**Time Filtering**: Customizable trading time windows to focus on high-probability periods
# 🛡️ Strict Risk Control System
**Automatic Stop Loss**: Risk control mechanism based on fixed percentage
**Position Management**: Zero pyramiding strategy, strictly controlling single exposure risk
**Real-time Monitoring**: Continuous tracking of position status, timely execution of risk control measures
# 📊 Professional Visualization
**Trend Visualization**: Clearly displays current trend direction and strength
**Signal Marking**: Intuitive buy/sell point markers and trend conversion prompts
**Candlestick Coloring**: Real-time candlestick color changes reflect bull-bear power comparison
# Applicable Markets
**Main Products**: Stock index futures, commodity futures, forex, and other products with moderate volatility
**Time Frames**: Suitable for multiple time periods, recommended for daily or 4-hour charts
**Market Conditions**: Particularly suitable for markets with clear trends and moderate volatility
# Strategy Advantages
**Clear Rules**: All trading logic is fully quantified, avoiding subjective judgment interference
**Strong Adaptability**: Dynamic parameter adjustment mechanism adapts to different market environments
**Rigorous Execution**: Strict timing control and risk management system
**Intuitive and Easy to Use**: Clear chart displays and signal prompts for easy monitoring and decision-making
Long + Short + Signal//@version=6
indicator("Long + Short + Signal", overlay=true)
Buy = input.bool(false, "Buy ")
Sell = input.bool(false, "Sell ")
// ================= INPUTS =================
// ---- LONG ----
periodK_Long = 50
smoothK_Long = 3
periodD_Long = 3
// ---- SHORT ----
periodK_Short = 14
smoothK_Short = 3
periodD_Short = 3
// ================= FUNCTIONS =================
f_stoch_long(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Long), smoothK_Long))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Long))
k > 50 and d > 50 ? color.green : k < 40 and d < 40 ? color.red : color.gray
f_stoch_short(tf) =>
k = request.security(syminfo.tickerid, tf,
ta.sma(ta.stoch(close, high, low, periodK_Short), smoothK_Short))
d = request.security(syminfo.tickerid, tf,
ta.sma(k, periodD_Short))
k > 60 and d > 60 ? color.green : k < 40 and d < 40 ? color.red : color.gray
// ================= TABLE =================
// 2 rows × 8 columns
var table t = table.new(position.top_right, 8, 2, border_width=3)
if barstate.islast
// ===== HEADINGS (BIGGER) =====
table.cell(
t, 0, 0, "Short",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
table.cell(
t, 0, 1, "Long",
bgcolor=color.black,
text_color=color.white,
text_size=size.large,
text_halign=text.align_center
)
// ===== LONG ROW =====
table.cell(t, 1, 0, "1m", bgcolor=f_stoch_short("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 0, "5m", bgcolor=f_stoch_short("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 0, "15m", bgcolor=f_stoch_short("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 0, "60m", bgcolor=f_stoch_short("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 0, "D", bgcolor=f_stoch_short("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 0, "W", bgcolor=f_stoch_short("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 0, "M", bgcolor=f_stoch_short("M"), text_color=color.white, text_size=size.normal)
// ===== SHORT ROW =====
table.cell(t, 1, 1, "1m", bgcolor=f_stoch_long("1"), text_color=color.white, text_size=size.normal)
table.cell(t, 2, 1, "5m", bgcolor=f_stoch_long("5"), text_color=color.white, text_size=size.normal)
table.cell(t, 3, 1, "15m", bgcolor=f_stoch_long("15"), text_color=color.white, text_size=size.normal)
table.cell(t, 4, 1, "60m", bgcolor=f_stoch_long("60"), text_color=color.white, text_size=size.normal)
table.cell(t, 5, 1, "D", bgcolor=f_stoch_long("D"), text_color=color.white, text_size=size.normal)
table.cell(t, 6, 1, "W", bgcolor=f_stoch_long("W"), text_color=color.white, text_size=size.normal)
table.cell(t, 7, 1, "M", bgcolor=f_stoch_long("M"), text_color=color.white, text_size=size.normal)
lengthK = 14
lengthD = 3
lengthEMA = 3
emaEma(source, length) => ta.ema(ta.ema(source, length), length)
highestHigh = ta.highest(lengthK)
lowestLow = ta.lowest(lengthK)
highestLowestRange = highestHigh - lowestLow
relativeRange = close - (highestHigh + lowestLow) / 2
smi = 200 * (emaEma(relativeRange, lengthD) / emaEma(highestLowestRange, lengthD))
// ===== BUY / SELL CONDITIONS =====
buyEntry = ta.crossover(smi, 50)
buyExit = ta.crossunder(smi, 50)
sellEntry = ta.crossunder(smi, -40)
sellExit = ta.crossover(smi, -40)
// ===== PLOTS =====
plotshape( Buy and buyEntry, title="BUY", style=shape.triangleup,location=location.belowbar, color=color.green,size=size.small, text="BUY")
plotshape( Buy and buyExit, title="EXIT BUY", style=shape.triangledown, location=location.abovebar, color=color.lime,size=size.tiny, text="EXIT")
plotshape( Sell and sellEntry,title="SELL", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.small, text="SELL")
plotshape( Sell and sellExit, title="EXIT SELL", style=shape.triangleup, location=location.belowbar, color=color.orange, size=size.tiny, text="EXIT")
shortest = ta.ema(close, 9)
shortEMA = ta.ema(close, 21)
longer = ta.ema(close, 50)
longest = ta.ema(close, 200)
plot(shortest, color=color.red, title="EMA 9")
plot(shortEMA, color=color.orange, title="EMA 21")
plot(longer, color=color.aqua, title="EMA 50")
plot(longest, color=color.blue, title="EMA 200")
Crypto Camp Day Key LevelsDaily key levels Daily key levels Daily key levels Daily key levels Daily key levels Daily key levels
Nissen Heavenly Stems & Earthly Branches v2.0 (Calibrated)Nissen Heavenly Stems & Earthly Branches v2.0 (Calibrated) - Complete Description
🎯 Originality & Unique Approach
What Makes This Script Original?
This indicator represents a novel fusion of traditional Chinese cyclical theory with modern financial market analysis. Unlike conventional technical indicators based solely on price action or volume, this tool incorporates:
Ancient Chinese Calendar Systems: Utilizes the 60-year Jia-Zi cycle (Heavenly Stems & Earthly Branches) dating back 4000+ years
Five Elements (Wu Xing) Theory: Applies Wood-Fire-Earth-Metal-Water cycles to market dynamics
Chinese Zodiac Correlation: Links 12 zodiac animals with market characteristics
Solar Term Integration: Considers traditional solar terms (particularly "Beginning of Spring") for accurate year transitions
No other TradingView indicator combines these specific traditional Chinese predictive systems with Western financial charting in this comprehensive manner.
📊 What This Indicator Does & How It Works
Core Functionality
This overlay indicator provides multi-timeframe market analysis based on traditional Chinese cyclical theories:
Yearly Cycle Analysis (Primary)
Identifies current position in the 10-year Heavenly Stem cycle (甲 to 癸)
Maps each year to specific market predictions based on historical patterns
Color-codes the chart background according to the current zodiac year
Monthly & Daily Analysis
Calculates monthly and daily Heavenly Stems & Earthly Branches
Provides short-term trend signals based on daily/monthly elements
Cycle Progress Tracking
Visual 10-year cycle progress bar showing current position
Countdown to next significant cycle transition points
Implementation Methodology
1. Calendar Calculation System:
Uses calibrated formulas for Heavenly Stems: (Year - 4) % 10
Calculates Earthly Branches: (Year - 4) % 12
Incorporates solar term adjustments (Beginning of Spring around Feb 4th)
Accurate for years 1900-2100 using Zeller's congruence algorithm for daily calculations
2. Prediction Mapping:
甲 (Jia) Years → Bear to Bull transition, Bottom years
乙 (Yi) Years → Bull markets
丙/丁 (Bing/Ding) Years → Super bull markets (Fire element)
戊/己 (Wu/Ji) Years → Bear markets (Earth element)
庚/辛 (Geng/Xin) Years → Structural markets, Risk years
壬/癸 (Ren/Gui) Years → Observation periods
3. Five Elements Integration:
Maps each Heavenly Stem to Wood-Fire-Earth-Metal-Water
Analyzes relationship between current year's element and "market element" (assumed as Water)
Generates "生成克制" (Generate-Control) relationship insights
Visual Components
Background Coloring: Entire chart background changes color based on zodiac animal of the year
Information Tables: Detailed tables showing:
Current lunar year and zodiac
Five Elements relationship to markets
Cycle progress and next transition points
Daily and monthly Stems & Branches with trend signals
Year Labels: Floating labels at year transitions showing year info and predictions
Cycle Progress Bar: Visual representation of 10-year cycle completion percentage
Special Markers: Highlighted markers for significant years (甲, 丙丁, 戊辛, 癸)
Trend Indicators: Directional arrows showing overall yearly trend
🧠 Core Theoretical Framework
Philosophical Foundation
This indicator operates on three interconnected cyclical theories:
1. 10-Year Heavenly Stem Cycle (天干循环)
Each of the 10 Heavenly Stems represents distinct market characteristics
Complete cycle repeats every 10 years with predictable patterns
Based on observed correlations between these cycles and historical market movements
2. 12-Year Earthly Branch/Zodiac Cycle (地支/生肖循环)
Each zodiac year has associated color coding and characteristics
Provides secondary confirmation to Heavenly Stem predictions
Creates 60-year combined cycle when multiplied with 10-year cycle
3. Five Elements Market Theory (五行市场理论)
Assumption: Financial markets exhibit characteristics of Water element (流动、变化)
Analysis: How each year's element interacts with Water:
Same element (Water-Water): Harmony, stable trends
Generating element (Metal-Water): Supportive, bullish
Controlling element (Earth-Water): Restrictive, bearish
Generated element (Water-Wood): Draining, volatile
Controlling element (Water-Fire): Dominant, trend strong
Historical Correlation Basis
The prediction mappings derive from observed correlations between Chinese calendar years and major market movements:
丙丁 (Bing/Ding) Fire Years: Historically correlated with major bull markets (e.g., 1997丁丑年 Asian boom, 2007丁亥年 pre-crisis peak)
戊己 (Wu/Ji) Earth Years: Often associated with market corrections or bear phases
甲 (Jia) Years: Frequently mark cycle beginnings and transitional phases
🎮 Practical Usage Guide
For Long-Term Investors
Cycle Positioning: Determine where we are in the 10-year cycle
Yearly Outlook: Use the yearly prediction to set overall portfolio bias
Cycle Transitions: Watch for 甲 (Jia) year beginnings and 癸 (Gui) year endings for major rebalancing
For Swing Traders
Monthly Signals: Check monthly Heavenly Stems for intermediate-term bias
Element Relationships: Use Five Elements analysis for sector rotation ideas
Cycle Progress: Monitor the 10-year progress bar for approaching transitions
For Short-Term Traders
Daily Stems & Branches: Use daily signals for short-term directional bias
Intraday Context: Align short-term trades with the larger cycle direction
Alert System: Set alerts for significant year/month transitions
Specific Trading Applications
1. Trend-Following Enhancement
Use yearly trend direction to filter counter-trend trades
Align with the predominant element's characteristics (e.g., Fire years favor momentum strategies)
2. Mean Reversion Timing
Earth and Metal years often show increased mean reversion characteristics
Use daily signals to time entries during counter-trend moves
3. Sector Rotation Framework
Different elements favor different sectors:
Wood/Water years: Technology, Innovation
Fire years: Energy, Growth stocks
Earth years: Real Estate, Materials
Metal years: Financials, Industrials
4. Risk Management
Heighten caution during 辛 (Xin) Metal years (designated "Risk Years")
Reduce leverage during controlling element relationships
⚙️ Configuration Options
Visual Customization
Adjust background brightness and colors for each zodiac year
Customize label positions, sizes, and colors
Toggle various display elements on/off based on preference
Analytical Focus
Choose to emphasize yearly, monthly, or daily signals
Adjust the cycle progress bar position and appearance
Customize which special year markers to display
Alert System
Enable alerts for year transitions
Customize which cycle transitions trigger alerts
Combine with other indicators for confirmation
⚠️ Important Considerations
Theoretical Nature
This indicator is based on cyclical correlation theories, not causal relationships. It should be used as:
A Complementary Tool: Not a standalone trading system
A Framework for Thinking: About market cycles and rhythms
A Sentiment Indicator: Of longer-term market positioning
Practical Limitations
Not a Timing Tool: Doesn't provide precise entry/exit points
Cultural Specificity: Based on Eastern cyclical concepts
Historical Correlation: Past patterns may not repeat identically
Recommended Usage
Combine with Technical Analysis: Use alongside traditional indicators
Verify with Fundamental Analysis: Ensure cycle signals align with economic reality
Risk Management First: Never rely solely on cyclical predictions for position sizing
📈 Integration with Other Strategies
With Trend Following
Use yearly trend direction to determine primary trend bias
Filter trade signals to align with cycle direction
With Counter-Trend Strategies
Identify years with high mean reversion probability
Use daily signals for timing counter-trend entries
With Seasonal Patterns
Overlay traditional seasonal patterns with Chinese calendar cycles
Look for convergence/divergence between different cyclical systems
🔮 Future Development Path
The current implementation focuses on yearly cycles, but the framework can expand to:
Smaller Timeframes: Applying the system to weekly/daily cycles
Inter-market Analysis: Different elements for different asset classes
Geographical Variations: Adjusting for different market characteristics by region
Combination with Western Cycles: Integrating with Kondratieff waves, decennial patterns
A-Bot Promax 2026USER GUIDE – BUY & SELL (MULTI-TIMEFRAME)
A-Bot Promax 2026 applies Multi-Timeframe Analysis with a TF × 3 confirmation rule.
🔹 BUY Setup
Select your preferred trading timeframe (TF).
When the white line generates a BUY signal, mark or note the exact candle/time.
Switch to the higher timeframe (HTF = TF × 3) for confirmation
Example: TF = Day → HTF = Week
TF = Week → HTF = Month
If the corresponding area on the HTF shows a green background, the BUY signal is considered valid.
Take profit / exit BUY when:
The HTF background turns red, or
The white line prints a SELL signal (from that point onward).
🔹 SELL Setup
Select your preferred trading timeframe (TF).
When the white line generates a SELL signal, mark or note the exact candle/time.
Switch to the higher timeframe (HTF = TF × 3) for confirmation.
If the corresponding area on the HTF shows a red background, the SELL signal is considered valid.
Take profit / exit SELL when:
The HTF background turns green, or
The white line prints a BUY signal (from that point onward).
⚠️ Disclaimer
This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, investment recommendations, or guarantees of profit. Trading involves significant risk, and all trading decisions and outcomes are the sole responsibility of the user. The author assumes no liability for any losses incurred from the use of this indicator.
Daily Opens (Today/Yesterday/Prev Week)Market open markers for Volume profile traders, Marks Current Day open, Previous Day open, Previous Week open.
Alphanet Wyckoff PremiumAlphanet Wyckoff Premium is a hybrid indicator that combines Wyckoff-style market phase labeling with an RSI regime filter to help you spot Accumulation/Distribution ranges, key turning points, and BUY/SELL triggers after a sideways market resolves.
How it works
Detects market regimes using RSI behavior around the equilibrium zone
Bull regime when RSI holds above the upper threshold
Bear regime when RSI holds below the lower threshold
Sideways regime when RSI oscillates around the equilibrium area
Automatically draws a range box during sideways conditions
The box visualizes the recent high/low boundaries of the consolidation
When the sideways phase ends, it prints confirmation labels
BUY after sideways when the breakout aligns with a bullish RSI regime
SELL after sideways when the breakdown aligns with a bearish RSI regime
Wyckoff labels on the chart
Marks Wyckoff-inspired events using pivots + RSI confirmation
SC (Selling Climax) as a potential exhaustion low
AR (Automatic Rally) as the rebound following SC
ST (Secondary Test) as a retest within accumulation
BC (Buying Climax) as a potential exhaustion high
AR (Automatic Reaction) as the drop following BC
ST (Secondary Test) as a retest within distribution
Colors and box meaning
Green box indicates Accumulation
Red box indicates Distribution
Candles may be colored to reflect bullish/bearish regimes for quick context
Key settings and how to tune
RSI Length
Higher values smooth signals and reduce noise
Lower values increase sensitivity but may create more false signals
Trend Sensitivity
Higher values widen the sideways zone, reducing bull/bear signals and filtering noise
Lower values generate more regime signals but can be choppier
Pivot Length
Higher values produce stronger, cleaner pivots (better for higher timeframes)
Lower values produce more pivots (better for scalping, but needs more filtering)
Practical usage
Use the sideways box as your range framework
Watch reactions at the top and bottom boundaries
Expect liquidity sweeps and false breaks around the edges
Treat BUY/SELL after Sideway as a confirmation trigger
Prioritize trades in the direction of the breakout/breakdown
Avoid fading the move unless you have a clear reversal setup
Combine with multi-timeframe context
Higher timeframe for phase bias (accumulation vs distribution)
Lower timeframe for entries using pivots and range reactions
Important notes
Because the logic uses RSI regimes and pivot detection, signals can appear after confirmation rather than at the exact turning point.
Best performance typically occurs when consolidation is well-defined and the breakout is clean.
Crypto Swing 5% Volatility Scanner (v6)The script is a work in progress and will look for crypto that has a min +-5% Volatility for day trading.
Yield Curve Widget (Nasdaq) 📊 Yield Curve Risk Widget — Nasdaq (MNQ)
🔍 What this indicator does
This indicator is a macro risk widget designed for Nasdaq (MNQ) traders.
It combines the US Treasury yield curve (10Y vs 2Y) with price confirmation from Nasdaq itself to provide a directional bias.
⚠️ This is NOT an entry signal.
It is a context and risk filter to help you decide which side of the market to prioritize.
🧠 What each element means
🔹 10Y (e.g. 4.17)
The 10-year US Treasury yield, expressed as annual percentage (%).
Tech stocks and Nasdaq are highly sensitive to the 10Y
Falling 10Y → supportive for Nasdaq
Rising 10Y → pressure on Nasdaq
🔹 2Y (e.g. 3.54)
The 2-year US Treasury yield, closely tied to Federal Reserve expectations.
🔹 Spread (10Y − 2Y)
Represents the slope of the yield curve.
Spread expanding → curve normalizing → healthier macro environment
Spread contracting → curve flattening or inverting → higher risk
🔹 10Y slope / Spread slope (▲ ▼ •)
Shows the recent direction of movement:
▲ Rising
▼ Falling
• Flat / neutral
👉 Direction matters more than absolute level.
🔹 Regime (BULL / BEAR / NEUT)
Structural interpretation of the yield curve:
BULL → rates favor risk assets
BEAR → rates pressure risk assets
NEUT → mixed macro signals
🔹 RISK ON / RISK OFF / NEUTRAL
Combination of macro (yield curve) and price confirmation (Nasdaq trend):
RISK ON
→ Favorable curve and Nasdaq above its trend EMA
RISK OFF
→ Unfavorable curve and Nasdaq below its trend EMA
NEUTRAL
→ No confirmation
🔹 Intensity (0–100)
Measures the strength of the current regime.
0–40 → weak / noisy environment
40–60 → transition phase
60–100 → strong macro regime
🔹 Trade Bias (BUY / SELL / WAIT)
This is the practical conclusion of the indicator:
BUY NASDAQ
→ Risk ON confirmed + intensity above threshold
SELL NASDAQ
→ Risk OFF confirmed + intensity above threshold
WAIT
→ Mixed conditions, no clear edge
⚠️ This is NOT a trade trigger, only a directional filter.
🎯 How to use it (the right way)
✅ Use it as a FILTER
BUY NASDAQ → prioritize long setups only
SELL NASDAQ → prioritize short setups only
WAIT → trade only A+ setups or stay flat
❌ What NOT to do
Do not enter trades solely because BUY/SELL appears
Do not ignore your own risk management rules
Do not rely on it during major news events (CPI, FOMC, NFP)
⚙️ Suggested settings (MNQ)
Day Trading (1m / 5m)
MNQ Trend EMA: 200
Slope lookback: 5–10
Min Risk Intensity: 55–65
Intraday / Swing
Yields TF: 15m or 60m
Min Risk Intensity: 60–75
🧩 Quick summary
📉 Falling rates → Nasdaq tends to rise
📈 Rising rates → Nasdaq tends to fall
🧠 Yield curve + price confirmation = directional edge
🎯 Use as a filter, not as an entry signal
Disclaimer:
This indicator provides macro context only. Always combine it with your own technical setups, execution rules, and risk management.
dih revamped//@version=5
indicator("Discretionary Model - Clean", overlay=true, max_labels_count=100)
// ==================== INPUTS ====================
// Time Window
startHour = input.int(9, "Start Hour", minval=0, maxval=23, group="Time Filter")
startMin = input.int(35, "Start Minute", minval=0, maxval=59, group="Time Filter")
endHour = input.int(10, "End Hour", minval=0, maxval=23, group="Time Filter")
endMin = input.int(0, "End Minute", minval=0, maxval=59, group="Time Filter")
// Settings
dispThreshold = input.float(0.4, "Displacement Threshold %", minval=0.1, maxval=2.0, step=0.1, group="Settings")
liqLookback = input.int(20, "Liquidity Lookback", minval=5, maxval=50, group="Settings")
eqThreshold = input.float(0.1, "Equal High/Low Threshold %", minval=0.05, maxval=0.5, step=0.05, group="Settings")
targetPoints = input.int(30, "Target Points", minval=10, maxval=100, group="Settings")
// Visual Options
showBuySide = input.bool(true, "Show Buy Side Liquidity", group="Display")
showSellSide = input.bool(true, "Show Sell Side Liquidity", group="Display")
showReversalSetups = input.bool(true, "Show Reversal Setups", group="Display")
// ==================== TIME FILTER ====================
inTimeWindow() =>
t = time(timeframe.period, "0935-1000:23456")
not na(t)
// ==================== CORE FUNCTIONS ====================
// Displacement detection
isDisplacementUp(thresh) =>
bodySize = close - open
bodyPct = (bodySize / open) * 100
close > open and bodyPct >= thresh and close > high
isDisplacementDown(thresh) =>
bodySize = open - close
bodyPct = (bodySize / open) * 100
close < open and bodyPct >= thresh and close < low
// Buy Side Liquidity (Equal Highs) - WHERE STOPS ARE
isBuySideLiquidity() =>
result = false
currentHigh = high
for i = 1 to liqLookback
diff = math.abs(currentHigh - high )
pctDiff = (diff / currentHigh) * 100
if pctDiff <= eqThreshold and pctDiff > 0
result := true
break
result
// Sell Side Liquidity (Equal Lows) - WHERE STOPS ARE
isSellSideLiquidity() =>
result = false
currentLow = low
for i = 1 to liqLookback
diff = math.abs(currentLow - low )
pctDiff = (diff / currentLow) * 100
if pctDiff <= eqThreshold and pctDiff > 0
result := true
break
result
// ==================== LIQUIDITY DETECTION ====================
buySideLiq = isBuySideLiquidity()
sellSideLiq = isSellSideLiquidity()
// Liquidity swept
buySideSwept = buySideLiq and close > high
sellSideSwept = sellSideLiq and close < low
// ==================== REVERSAL SEQUENCE TRACKING ====================
var bool lookingForReversal = false
var float reversalLevel = na
var int reversalCount = 0
var bool isReversalShort = false
// Start tracking after liquidity sweep
if buySideSwept and inTimeWindow() and not lookingForReversal
lookingForReversal := true
reversalLevel := high
reversalCount := 0
isReversalShort := true
if sellSideSwept and inTimeWindow() and not lookingForReversal
lookingForReversal := true
reversalLevel := low
reversalCount := 0
isReversalShort := false
// Count candles
if lookingForReversal
reversalCount += 1
// Reset after 5 candles
if reversalCount > 5
lookingForReversal := false
reversalCount := 0
// ==================== ENTRY SIGNALS ====================
var float entryPrice = na
var float stopLoss = na
var float takeProfit = na
reversalShortSignal = false
reversalLongSignal = false
Silver ATH Stair-WayThis work was inspired by a podcast from Bo Polny on Rumble.
Specifically "$145 BILLION that KILLS the Banks! A #silver Explosion! Bo Polny"
All Glory to God.
This indicator is free for all to use because this is God's handiwork.
Lord TimeKillzone Indicator based on information from Michael.
The indicator is used to mark the killzones, allowing the editing of each window's name and time.
Remember that when dealing with Killzones, all times are in New York time, both for the indicator and TradingView.
If you have any questions, watch the video on YouTube called "The Lord Gk." I published a video explaining the killzones, how I use them, and as a bonus, I included a link to an exclusive lesson that is part of my private VIP lesson archive, where I explain everything about the killzones and their characteristics.
1337 v1.4 [Abrhm]In the center of the circle, there lies a small, perfectly smooth stone, unlike any natural rock. It's as if it's been shaped by hands long ago, though no one can recall who might have carved it. Every time you try to focus on it, the stone seems to shimmer and shift, just out of the corner of your eye. Some say it's an artifact from a lost civilization, others believe it’s a relic from another world entirely. {0}
Wx Gann WindowsWx Gann Windows — Seasonal Time Windows & Forward Markers
Wx Gann Windows highlights the handful of Gann-style seasonal dates that matter most, without cluttering your chart. It draws subtle “time windows” around key dates each year and optionally projects the next 12 months of dates into the future so you can keep them in mind when planning trades or options spreads.
What it shows
1. Seasonal Windows (background bands)
• Equinox / Solstice windows (Spring, Summer, Autumn, Winter).
• Optional midpoint (cross-quarter) windows: early Feb / May / Aug / Nov.
• Each window is a small number of days (default 3) centered on the approximate calendar date, with a soft background band so price action remains in focus.
2. On-Chart Labels (optional)
• Small labels like “Spring Eq.”, “Winter Sol.”, “Feb Mid” printed just above the current chart’s price range.
• One label per window, on the first bar of the window.
3. Future Projections (next 12 months)
• For each key date, the script projects the next occurrence into the future.
• Draws a vertical dotted line from near the chart low to above the chart high, plus a label such as “Spring Eq. (next)” or “Aug Mid (next)”.
• This gives you a 12-month “time roadmap” for cycles-sensitive planning (e.g., options, swing trades) without manual date marking.
Inputs
Window Settings
• Equinox / Solstice Window (days) – size of the seasonal bands (default 3 days).
• Midpoint Window (days) – size of the mid-Feb / May / Aug / Nov bands.
Visibility
• Show Equinox & Solstice Windows – toggle main seasonal bands on/off.
• Show Midpoint Windows (Feb/May/Aug/Nov) – toggle cross-quarter bands.
• Show Labels (on windows) – show/hide the on-chart labels above price.
Future Projections
• Project Next 12 Months (future markers) – toggle the forward vertical lines + “(next)” labels.
How to use it
• Treat these dates as awareness windows, not prediction signals.
• Use them to:
• Be extra alert for potential turns, accelerations, or exhaustion.
• Tighten risk or avoid opening new positions right into a window if your system suggests caution.
• Plan options expiries or swing entries with time structure in mind.
Always confirm decisions with your own system (trend, structure, volume, breadth, macro), not the dates alone.
Notes & Disclaimer
• Dates are approximate calendar anchors inspired by Gann’s seasonal and cross-quarter work, using simple ±N-day windows.
• Works on any symbol and timeframe; windows are based on calendar dates, not bar count.
• This tool is educational and informational only. It does not place orders and is not financial advice. Always test and integrate with your own strategy and risk management.
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Eagle Scalping Support System這是一個基於平滑 Heiken Ashi 的趨勢追蹤系統,專為剝頭皮交易設計,重點在於減少假信號和提高進場準確性。
🎯 主要功能
1. 趨勢判斷系統
使用雙重平滑(EMA + SMA)處理 Heiken Ashi 蠟燭,大幅降低市場噪音
需要連續 8 根 K 棒確認才改變趨勢方向(可調整)
加入趨勢強度過濾(需達 ATR 的 30%),避免弱趨勢誤判
2. 進場信號
做多加碼條件(藍色圓點):
RSI 超賣反轉(<35 且開始回升)
MACD 轉強(柱狀圖為正且上升)
價格觸及 10 日低點後反彈
做空加碼條件(黃綠色圓點):
RSI 超買反轉(>65 且開始回落)
MACD 轉弱(柱狀圖為負且下降)
價格觸及 10 日高點後回落
3. 視覺化設計
粗綠線:多頭趨勢
粗橘線:空頭趨勢
淡色背景:當前趨勢方向
右上角表格:顯示當前狀態、趨勢確認度、RSI 數值
⚡ 關鍵特色
✅ 防重繪機制:使用 barstate.isconfirmed 確保信號只在 K 棒完成後顯示
✅ 漸進式計數:不確定區域會逐漸減少趨勢計數,而非立即歸零
✅ 多重確認:結合趨勢方向、強度、動量指標,降低假突破風險
✅ 內建警報:支援趨勢轉換和加碼信號的自動提醒
💡 適用場景
剝頭皮交易(短線快進快出)
趨勢跟隨(中短期持倉)
適合波動性商品(如加密貨幣、外匯)
⚠️ 使用建議
在橫盤震蕩市場可能產生滯後
建議搭配成交量或支撐壓力位輔助判斷
趨勢確認 K 棒數可根據交易週期調整(短週期用 3-5,長週期用 10-15)
Overview
Eagle Scalping is a trend-following indicator designed for scalping and short-term trading. It uses a heavily smoothed Heiken Ashi system with multi-confirmation mechanisms to minimize false signals and improve entry accuracy.
🎯 Core Components
1. Smoothed Heiken Ashi Calculation
The indicator applies a dual-layer smoothing process:
Step 1: EMA smoothing of Heiken Ashi values (default: 34 periods)
Step 2: SMA smoothing of the EMA results (60% of smoothing length)
This removes market noise while maintaining trend sensitivity.
2. Trend Confirmation System
Multi-Bar Confirmation Logic:
Requires 8 consecutive bars (default) to confirm trend direction
Uses a trend strength filter (normalized to ATR)
Only changes trend when strength exceeds 30% of ATR
Progressive counting: reduces count gradually in uncertain zones rather than resetting to zero
Trend States:
Bullish: Thick lime green line + light green background
Bearish: Thick orange line + light orange background
3. Entry Signal Generation
🔵 Bullish Add-On Signals (Blue circles below bars)
Triggered when ALL conditions are met:
Currently in confirmed bullish trend
Bar is confirmed (no repainting)
One of the following momentum conditions:
RSI < 35 with bullish divergence (reversing upward)
MACD histogram positive and increasing
Price touches 10-bar low, then closes bullish with higher close
🟤 Bearish Add-On Signals (Dark yellow circles above bars)
Triggered when ALL conditions are met:
Currently in confirmed bearish trend
Bar is confirmed (no repainting)
One of the following momentum conditions:
RSI > 65 with bearish divergence (reversing downward)
MACD histogram negative and decreasing
Price touches 10-bar high, then closes bearish with lower close
UT Bot Alerts with R-Targets & Results< DONE BY RM ALOWAIS >
Indicator Overview
This indicator provides rule-based BUY and SELL signals with automatic risk management levels.
Each trade setup includes a predefined Stop Loss and up to three Take Profit targets (TP1, TP2, TP3), allowing traders to manage risk and scale exits systematically.
How It Works
BUY and SELL signals are generated based on internal market conditions.
Each signal plots:
Entry point
Stop Loss (SL)
Take Profit levels (TP1, TP2, TP3)
After price action completes, the indicator displays the actual result of the trade:
Result: TP1 / TP2 / TP3 / SL
Exit labels may appear when a trade is closed early due to invalidation or opposite conditions.
Key Features
Non-repainting signals
Built-in risk-to-reward structure
Visual trade tracking with clear outcomes
Suitable for intraday and swing trading
Works on multiple markets and timeframes
Usage Notes
This indicator is a decision-support tool, not financial advice.
Best results are achieved when used with proper risk management and higher-timeframe confirmation.
Performance may vary depending on market conditions (trend vs range).
Disclaimer
This script is provided for educational and informational purposes only.
The author is not responsible for any financial losses. Always test and validate before using in live trading.






















