Binary Options Gold Scalping [TradingFinder] 1 & 5 Min Strategy🔵 Introduction
In binary options trading, price movements are often driven by the market’s tendency to reach key liquidity zones. These areas include Liquidity, Fair Value Gaps (FVGs), and Order Blocks (OBs), zones where a large number of pending orders are concentrated.
When price reaches one of these zones, it typically enters a Liquidity Sweep phase to collect available liquidity. After this process, the market often reacts sharply, either reversing direction or continuing its move with renewed momentum. Understanding this cycle forms the foundation of most smart money-based binary options strategies.
In this analytical approach, a Liquidity Sweep is usually seen as a False Breakout, often recognized through a distinctive candle confirmation pattern. The pattern appears when price briefly breaks a level to trigger stops, then quickly returns within range. This formation is one of the most reliable reversal signals for short-term trades and plays a central role in many binary options strategies.
After a liquidity sweep, price often returns to Fair Value Gap (FVG) or Order Block (OB) areas to restore balance in the market. These are zones where institutional orders are typically placed, and reactions around them can create high-probability trade setups. In binary options trading, this quick reaction following a sweep and retrace into an FVG or OB provides one of the best entry opportunities for short-term trades.
By combining the concepts of Liquidity Sweep, Fair Value Gap, and Order Block, traders can build a precise binary options strategy based on smart money behavior, allowing them to identify market reversals with greater confidence and enter at the optimal moment.
Bullish Setup :
Bearish Setup :
🔵 How to Use
This indicator is built on the Smart Money Concept (SMC) framework and serves as a core tool for accurately detecting Liquidity Sweeps, Order Blocks, and Fair Value Gaps in binary options trading.
Its logic is simple yet powerful : when price reaches high-interest liquidity zones and shows reversal signs, the indicator issues an entry signal immediately after a Candle Confirmation is complete.
Signals only activate when both the market structure and the candle confirmation pattern align, ensuring high accuracy in spotting genuine reversals.
🟣 Long Position
A bullish signal appears when the market, after a downward move, reaches sell-side liquidity zones where liquidity has built up below previous lows. In such conditions, a bullish Order Block or Fair Value Gap often exists in the same region, acting as a potential reversal point.
When the indicator detects the presence of liquidity, an imbalance zone (FVG), and a valid candle confirmation simultaneously, it triggers a green Call signal.
In a binary options strategy, the best entry moment is immediately after the candle confirmation closes, as this is when the probability of reversal is highest and the market tends to react strongly within the next few candles.
In the example below, after the liquidity sweep and candle confirmation, price quickly rallied, resulting in a Binary Win setup.
🟣 Short Position
A bearish signal occurs when price, after an upward move, reaches an area of buy-side liquidity and collects liquidity above recent highs. At this stage, the market is typically overbought and ready to reverse. If a bearish Order Block or Fair Value Gap exists in the same area and a candle confirmation pattern forms, the indicator displays a red Put signal.
This setup is highly accurate because multiple structural confirmations occur simultaneously : liquidity has been absorbed, price is rebalancing, and the confirmation candle has closed.
In binary options trading, this is the ideal moment to enter a Put (Sell) position, as the price reaction to the downside is usually quick and decisive.
In the example chart, the indicator generated a bearish signal right after the candle confirmation and completion of the liquidity sweep, price then dropped within minutes, resulting in another Binary Win.
🔵 Settings
Time Frame : Select the desired timeframe for analysis. If left blank, the indicator uses the chart’s current timeframe.
Swing Period : Defines how many candles are used to detect structural pivots (swing highs and lows). A higher value increases accuracy but reduces the number of signals.
Candle Pattern : Enables candle-based confirmation logic. When turned on, the indicator issues signals only if a valid reversal pattern is detected. You can also choose the confirmation filter strength, tighter filters show fewer but more precise signals.
🔵 Conclusion
A deep understanding of Liquidity Sweeps, Order Blocks, and Fair Value Gaps can make a decisive difference between ordinary and professional traders in the binary options market.
This indicator, combining smart money logic with candle confirmation, is one of the most precise tools for detecting true market reversals. When liquidity is collected and structural reversal signs emerge, the indicator automatically recognizes the price reaction and generates a reliable Call or Put signal.
Using this tool alongside market structure analysis and FVG detection allows traders to enter high-probability setups while filtering out false breakouts. For that reason, this binary options strategy is not only suitable for short-term trading but also valuable for understanding deeper smart-money behavior across timeframes.
Ultimately, success with this system comes down to two key principles: understanding the logic of the liquidity sweep and waiting for the candle confirmation to close. When these two conditions align, the indicator can pinpoint the best entry points with remarkable precision, helping you build a structured, intelligent, and profitable binary options strategy.
웨이브 어낼리시스
RTPL(lite)RTPL(lite) — Free
Simple, powerful, no cost.
• Auto-detects Wave 5
• Shows TP target
• 400D EMA line
• Golden Cross alert
• Gaussian channel
Works on any chart. No subscription needed.
Full version ($109) → rtpl.gumroad.com/l/rtpl-plus
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Liquidity Sweeps [Raja Saien]Liquidity Sweeps - Smart Money Concepts Indicator
Automatically detects institutional liquidity grabs at swing highs/lows through wick analysis and outbreak/retest patterns.
FEATURES:
- Three detection modes: Wicks only, Outbreaks & Retest, or Combined
- Visual sweep zone highlighting
- Real-time alerts
- Customizable colors and extension
- Works on all markets and timeframes
Helps identify potential reversal points where smart money clears liquidity before price moves in the intended direction.
Perfect for traders looking to follow institutional order flow and improve entry timing.
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RSI with SMA + 70/60/50/40/30 LevelsIndicator Name:
RSI with SMA + 70/60/50/40/30 Levels
🧩 Concept Overview:
यह indicator दो popular tools को combine करता है:
RSI (Relative Strength Index) – momentum indicator जो market ke overbought aur oversold zones ko identify karta hai.
SMA (Simple Moving Average) – trend smoother jo RSI ke movement ko average karke lagging confirmation deta hai.
इन दोनों के साथ 70, 60, 50, 40, और 30 की multiple reference lines draw की जाती हैं, ताकि trader को RSI ke swings aur reversals easily samajh aaye.
⚙️ Indicator Components:
RSI Line:
Default Period: 14 (customize kar sakte ho).
Show karta hai price momentum – agar RSI 70 ke upar jaata hai to market overbought zone me hota hai; agar 30 ke niche jaata hai to oversold zone me.
SMA on RSI:
RSI ka smooth version (usually 9-period SMA).
Trend confirmation ke liye – jab RSI line SMA ke upar cross karti hai to bullish signal, aur neeche cross kare to bearish signal.
Horizontal Levels:
70: Overbought zone (potential sell area).
60: Strong bullish momentum line (trend confirmation).
50: Neutral / midline (trend direction flip area).
40: Weak bearish zone (trend losing strength).
30: Oversold zone (potential buy area).
💡 How to Use:
Trend Identification:
RSI > 60 aur SMA ke upar → Bullish trend.
RSI < 40 aur SMA ke neeche → Bearish trend.
Reversal Spotting:
RSI 70 ke upar jaake wapas niche aaye → Sell signal.
RSI 30 ke neeche jaake wapas upar aaye → Buy signal.
Confirmation Using SMA:
RSI cross SMA from below → Confirmed bullish reversal.
RSI cross SMA from above → Confirmed bearish reversal.
Weis Wave Volume MTF 🎯 Indicator Name
Weis Wave Volume (Multi‑Timeframe) — adapted from the original “Weis Wave Volume by LazyBear.”
This version adds multi‑timeframe (MTF) readings, configurable colors, font size, and screen position for clear dashboard‑style display.
🧠 Concept Background — What is Weis Wave Volume (WWV)?
The Weis Wave Volume indicator originates from Wyckoff and David Weis’ techniques.
Its purpose is to link price movement “waves” with the amount of traded volume to reveal how strong or weak each wave is.
Instead of showing bars one by one, WWV accumulates the total volume while price keeps moving in the same direction.
When price direction changes (up → down or down → up), it:
Finishes the previous wave volume total.
Starts a new wave and begins accumulating again.
Those wave volumes help traders see:
Effort vs Result: Big volume with small price move ⇒ absorption; low volume with big move ⇒ weak participation.
Trend confirmation or exhaustion: High volume waves in trend direction strengthen it, while low‑volume waves hint exhaustion.
⚙️ How this Script Works
Trend & Wave Detection
Compares close with the previous bar to determine up or down movement (mov).
Detects trend reversals (when mov direction changes).
Builds “waves,” each representing a continuous run of bars in one direction.
Volume Accumulation
While price keeps the same direction, the script adds each bar’s volume to the running total (vol).
When direction flips, it resets that total and starts a new wave.
Multi‑Timeframe Computation
Calculates these wave volumes on three timeframes at once, chosen dynamically:
Active Chart Timeframe Displays WWV for:
1 min 1 min
5 min 5 min
15 min 15 min
Any other Chart TF
It uses request.security() to pull each timeframe’s latest WWV value and current wave direction.
Visual Output
Instead of plotting histogram bars, it shows a table with three numeric values:
WWV (1): 25.3 M | (15): 312 M | (240): 2.46 B
Each value is color‑coded:
user‑selected Uptrend Color when price wave = up
user‑selected Downtrend Color when wave = down
You can position this small table in any corner/center (top / bottom × left / center / right).
Font size is user‑adjustable (Tiny → Huge).
📈 How Traders Use It
Quickly gauge buying vs selling effort across multiple horizons.
Compare short‑term wave volume to higher‑timeframe waves to spot:
Alignment → all up and big volumes = strong trend
Divergence → small or opposite‑colored higher‑TF wave = potential reversal or pause
Combine with Wyckoff, VSA, or standard trend analysis to judge if a breakout or pullback has real participation.
🧩 Key Features of This Version
Feature Description
Multi‑Timeframe Panel Displays WWV values for 3 selected TFs at once
Dynamic TF Mapping Auto‑adjusts which TFs to use based on chart
Up/Down Color Coding Customizable colors for wave direction
Adjustable Font and Placement Set font size (Tiny→Huge) and screen corner/center
No Histograms Keeps chart clean; acts as a compact WWV dashboard
Open=Low Multi-Signal EnhancedPower your trades with all new Open = Low with tolerance added in the price. This script will give Open = Low and also if slight deviation in the Open = Low with rising volume and rising momentum in the price.
Directional Flow Index (DFI) — v2.4Directional Flow Index (DFI) — v2.4
✨ 1) What DFI measures (conceptual)
DFI aims to quantify directional flow —i.e., whether trading activity is skewed toward buying (supportive pressure) or selling (resistive pressure) —and then present it as a normalized oscillator that is easy to compare across symbols and timeframes. It is designed to highlight high-confidence thrusts within a prevailing trend and to detect fatigue as momentum decays.
Positive DFI (> 0) : net buy-side pressure dominates.
Negative DFI (< 0) : net sell-side pressure dominates.
Magnitude reflects intensity after de-trending and Z-score normalization.
While multiple “flow” proxies exist, this version emphasizes a True Volume Delta (TVD) workflow (default) that tallies buy vs. sell volume from a lower timeframe (LTF) inside an anchor timeframe bar, producing a more realistic per-bar delta when supported by the symbol’s data.
✨ 2) Core pipeline (how it works)
Flow construction (TVD default).
Using ta.requestVolumeDelta(LTF, Anchor), the script approximates up-volume vs. down-volume inside each anchor bar.
A per-bar delta is derived (with a reset on anchor switches to avoid jumps).
If TVD is unsupported on the symbol, DFI can fall back to synthetic proxies (e.g., Synthetic Delta Volume: (close-low)/(high-low) × vol), but TVD is the intended default.
CVD-style accumulation.
Per-bar delta is cumulatively summed into a running flow line (CVD-like), providing temporal context to the net pressure.
High-pass de-trending + smoothing.
A high-pass step (EMA-based) removes slow drifts (trend bias) from the CVD line.
A short EMA smoothing reduces noise while preserving thrust.
Z-score normalization.
The de-trended series is standardized (rolling mean/std), so DFI readings are comparable across markets/timeframes.
The Signal line is an EMA of DFI and is used for momentum cross checks.
SuperTrend (regime filter).
A lightweight SuperTrend (ATR len=5, factor=6 by default) provides up/down regime.
DFI coloring and alerts can be conditioned on the regime (optional).
Fatigue % (0–100).
Tracks energy (EMA of |DFI|) vs. peak energy (with adaptive half-life decay).
When energy stays far below the decaying peak, Fatigue% rises, suggesting momentum exhaustion.
The decay rate adapts to DFI volatility and regime alignment, so decay is faster when thrusts are misaligned with trend, slower when aligned and orderly.
Gradient highlight (confidence shading).
Histogram color transparency blends three ingredients:
DFI strength (|DFI| vs user-set bands)
Low fatigue (fresher thrusts score higher)
Regime alignment (DFI sign vs SuperTrend direction)
Result: darker bars indicate higher confidence in thrust quality; faint bars warn of weaker, stale, or misaligned pushes.
✨ 3) Interpreting the plots
DFI histogram (columns):
Green above zero for buy-side thrust, Red below zero for sell-side thrust.
Opacity encodes confidence (darker = stronger alignment & lower fatigue).
Signal (line): EMA of DFI used for momentum regime checks.
Zero line: structural reference for thrust crossovers.
Fatigue Table (optional): shows Fatigue%, SuperTrend regime, and selected Flow Method.
✨ 4) Alerts (examples)
Long Thrust: DFI crosses above zero while in Up regime.
Short Thrust: DFI crosses below zero while in Down regime.
Loss of Momentum (Up): DFI crosses below Signal while DFI > 0 (warns of weakening long thrust).
Loss of Momentum (Down): DFI crosses above Signal while DFI < 0 (warns of weakening short thrust).
✨ 5) How to set the TVD Lower TF (important)
TVD needs a sensible LTF/Anchor ratio for balanced accuracy and performance. As a rule of thumb, aim for ~30–120 LTF bars inside one anchor bar:
1h chart → 1–2m LTF (if seconds not available).
4h → 3–5m.
1D → 15–30m.
1W → 1–2h.
1M → 4h–1D.
Notes: Some symbols/exchanges do not provide seconds. Too small an LTF can be heavy/noisy; too large becomes coarse/laggy.
✨ 6) Practical usage patterns
Trend-following entries:
Look for DFI > 0 in Up regime (green) with low Fatigue%, and DFI crossing above zero or above its Signal.
Prefer darker (higher-confidence) histogram bars.
Trend-following exits / de-risking:
Rising Fatigue% toward your high threshold (e.g., 80–90) suggests exhaustion.
DFI vs Signal crosses against your position can be used to scale down.
Avoid chop:
When DFI oscillates around zero with faint bars and Fatigue% rises quickly, quality is low—be selective.
✨ 7) Inputs (summary)
Flow Method: default True Volume Delta (LTF scan); synthetic fallbacks available.
Processing: Detrend length, smoothing EMA, Z-score window, Signal EMA.
Regime: SuperTrend ATR length & factor (default 5 & 6).
Fatigue%: EMA length, base half-life, adaptive volatility coupling (enable/disable, sensitivity).
UI Highlight: strength thresholds, fatigue cap, alignment weights, opacity range.
Table: toggle Fatigue table, decimals, position.
✨ 8) Compatibility & performance notes
TVD requires supported data for the symbol; if unavailable, DFI can switch to synthetic deltas.
Smaller LTFs increase request load and may introduce noise; prefer a balanced ratio.
The indicator is designed to be self-contained; no other overlays are needed to read the outputs.
✨ 9) Limitations and good practice
This is an oscillator, not a price predictor. Extreme values can persist in strong trends.
Normalization (Z-score) makes values comparable, but distributions differ across assets/timeframes.
Always combine with risk management and position sizing; avoid interpreting any single condition as a guarantee.
✨ 10) Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, including possible loss of principal.
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한국어 번역 / Korean version below
✨DFI란 무엇인가?
DFI는 시장의 매수·매도 우위를 Flow(흐름) 형태로 분석하여
그 에너지를 정규화된 오실레이터로 표현하는 지표입니다.
가격의 단순 변동이 아니라, “얼마나 일관성 있는 압력(Flow)이 유지되는가”를 보여줍니다.
DFI > 0: 매수세 우위 (상방 압력)
DFI < 0: 매도세 우위 (하방 압력)
값의 크기: 모멘텀의 강도 (Z-score 기반 정규화)
기본 방식인 True Volume Delta (TVD) 는 상위 봉(Anchor) 내부의 하위 타임프레임(LTF) 데이터를 스캔해
실제 매수/매도 체결량 차이를 계산합니다.
이로써 단순 가격 변화가 아닌 실제 체결 흐름의 방향성을 반영합니다.
✨DFI의 계산 과정 (개념적 흐름)
1. Flow 계산 (TVD 또는 대체 방식)
ta.requestVolumeDelta()를 사용하여 상·하위 TF간 볼륨 델타를 계산합니다.
TVD 미지원 심볼은 자동으로 Synthetic Delta Volume 등 대체 방식으로 전환됩니다.
2. 누적(CVD) 구성
Flow를 CVD처럼 누적하여 순매수/순매도 압력을 누적 추적합니다.
3. 고역통과(High-pass) 필터
누적 흐름(CVD)에서 장기 추세 성분을 제거하여 순수한 변동 에너지만 남깁니다.
4. Z-score 정규화
평균과 표준편차로 표준화해 DFI의 크기를 **일정한 스케일(0 중심)**로 만듭니다.
다른 종목·시간대 간 비교가 용이합니다.
5. SuperTrend 레짐(추세 상태) 인식
ATR 기반 ST(기본: Length=5, Factor=6)를 통해 시장이 상승/하락/중립 중 어디에 있는지를 감지합니다.
DFI 컬럼 색상 및 알림은 이 ST 방향에 따라 동작합니다
6. Fatigue% (피로도 지수)
최근 에너지 평균과 역사적 피크(감쇠)를 비교해 0~100%로 “신선도”를 표현합니다.
높을수록 피로한 상태, 낮을수록 신선한 추세.
또한 변동성과 정렬 여부에 따라 Adaptive Half-Life로 감쇠 속도가 자동 조정됩니다.
7. 그라디언트 하이라이트 (Gradient Highlight)
DFI 강도(|DFI|), Fatigue%, 레짐 정렬 상태를 종합해 히스토그램의 투명도를 연속적으로 변화시킵니다.
강하고 신선하며 정렬된 추세일수록 더 진하게 표시, 반대로 약하거나 피로한 구간은 흐리게 표시됩니다.
✨DFI 차트 해석법
DFI 히스토그램 (컬럼):
위로 향한 초록색 = 매수 우위,
아래로 향한 빨강색 = 매도 우위.
진할수록 “신뢰도 높은 흐름(Aligned + Low Fatigue)”
흐릴수록 “노이즈성 움직임 / 피로 구간”
Signal 선:
DFI의 EMA.
DFI와의 교차는 모멘텀 전환 신호로 사용.
Zero 선:
추세 전환의 기준선.
Fatigue Table:
Fatigue%, Regime, Flow Method 정보를 실시간 표시.
✨알림 조건 (Alerts)
DFI Long Thrust: 상승 레짐에서 DFI가 0 위로 돌파.
DFI Short Thrust: 하락 레짐에서 DFI가 0 아래로 돌파.
Loss of Momentum (Up): DFI>0 상태에서 Signal 아래로 하락.
Loss of Momentum (Down): DFI<0 상태에서 Signal 위로 상승.
TVD (True Volume Delta) 설정 가이드
TVD는 Anchor:LowerTF = 약 30~120배 비율이 가장 효율적입니다.
1시간봉 -> 30초~2분
4시간봉 -> 2~8분
일봉(1D) -> 12~48분
주봉(1W) -> 1~4시간
월봉(1M) -> 4시간~ 1일
참고:
일부 거래소는 초 단위를 지원하지 않습니다 → 분 단위로 대체.
너무 짧은 LTF → 과부하/노이즈,
너무 긴 LTF → 신호 지연/정밀도 저하.
✨활용 전략 예시
추세 추종 (Trend-following):
Up Regime에서 DFI>0 & Fatigue% 낮을 때 롱 신호 우선.
DFI가 Signal 위로 돌파하는 시점이 thrust 시작점.
리스크 축소 (De-risking):
Fatigue%가 80~90 이상이면 추세 과열로 간주.
DFI가 Signal을 역방향으로 교차 시 포지션 축소 고려.
횡보 회피:
DFI가 0선 부근에서 얕게 진동하며 흐릿하게 표시될 때는
방향성이 약한 구간 → 진입 회피.
✨한계 및 권장 사용법
TVD는 심볼/거래소의 지원 여부에 따라 제한될 수 있습니다.
Z-score 정규화로 수치 간 비교는 용이하지만, 자산마다 분포 특성이 달라 절대값 해석은 주의 필요.
Fatigue%는 “모멘텀 신선도” 개념이지, 반전 타이밍이 아닙니다.
리스크 관리 및 전략적 컨텍스트 안에서 사용하세요.
✨면책 (Disclaimer)
이 스크립트는 교육용 도구(Educational purpose)이며,
투자 조언(Financial advice)이 아닙니다.
모든 트레이딩에는 손실의 위험이 있으며,
DFI의 신호나 수치가 수익을 보장하지 않습니다.
✨정리
DFI는 단순한 “추세 오실레이터”가 아니라,
에너지의 흐름 + 피로도 + 레짐 정렬이라는 3요소를 결합해
“지속 가능한 방향성”을 시각적으로 표현하는 지표입니다.
즉, 단순한 ‘방향’이 아니라 “추세의 질(Quality)”을 보여주는
새로운 형태의 Flow 분석 도구입니다.
Swing High/Low (Adaptive)Swing High/Low (Adaptive)
Overview
The Indicator is a pivot point detection tool that identifies swing highs and lows with invalidation tracking. The key differentiator of this indicator is its adaptive invalidation system . Most pivot indicators simply mark every detected pivot without considering whether subsequent price action has made earlier pivots less relevant.
How It Works
The indicator uses Pine Script's native ta.pivotlow() and ta.pivothigh() functions combined with custom logic to detect swing points. The adaptive algorithm evaluates each potential pivot against the following criteria:
For Low Pivots:
Confirms a new low pivot when it's the next expected pivot type in the swing sequence
If consecutive lows occur, only accepts a new low if it's lower than the previous low
Marks the previous low as invalidated when a stronger low is detected
For High Pivots:
Confirms a new high pivot when it's the next expected pivot type in the swing sequence
If consecutive highs occur, only accepts a new high if it's higher than the previous high
Marks the previous high as invalidated when a stronger high is detected
This approach ensures that the indicator maintains clean swing structure and automatically adjusts when price action creates stronger pivots, providing a more realistic view of support and resistance levels.
Settings
Pivot Settings:
Left Bars : Number of bars to the left required for pivot confirmation (default: 5)
Right Bars : Number of bars to the right required for pivot confirmation (default: 5)
Pivot Display Settings:
Toggle visibility for low and high pivots independently
Customizable colors for valid pivot markers
Low pivots marked with upward triangle (▲)
High pivots marked with downward triangle (▼)
Invalid Pivot Settings:
Optional display of invalidated pivots
Separate color customization for invalid low and high pivots
Helps visualize where market structure expectations changed
ZigZag Settings:
Toggle ZigZag line display on/off
Separate colors for upward and downward price swings
Adjustable line width
Use Cases
1. Market Structure Analysis
Identify key swing points to understand the current market structure and trend direction. The adaptive invalidation feature ensures you're always looking at the most relevant pivots.
2. Support and Resistance Identification
Use confirmed swing highs and lows as potential support and resistance levels for entry and exit planning.
3. Trend Confirmation
The ZigZag visualization helps confirm trends by showing the sequence of higher highs and higher lows (uptrend) or lower highs and lower lows (downtrend).
Disclaimer
This indicator is designed as a technical analysis tool and should be used in conjunction with other forms of analysis and proper risk management. Past performance does not guarantee future results, and traders should thoroughly test any strategy before implementing it with real capital.
EAGLE_HUNTER MSB + Retest + Momentum (v1)This indicator detects Market Structure Breaks (MSB) and confirms them with retest validation and momentum strength filters.
It helps traders identify high-probability breakouts and avoid false signals during weak momentum phases.
Combining structure analysis, volume dynamics, and momentum confirmation, it provides clean visual signals for both trend continuation and reversal setups.
Core Features:
• Automatic MSB detection with visual break markers
• Retest confirmation (validated structure re-entry)
• Momentum filter to remove weak breakouts
• Supports both bullish and bearish structures
• Ideal for 15m, 1H, and 4H timeframes
Note:
Protected script – source code is hidden.
For educational and analysis purposes only.
Kameniczki RSI MASTERKAMENICZKI RSI MASTER is a professional trading indicator based on RSI (Relative Strength Index) with advanced features for precise identification of trading opportunities. The indicator combines classic RSI analysis with intelligent Zig Zag system and smoothing techniques for maximum signal accuracy.
Features:
RSI Analysis with Gradient Display
The indicator displays RSI in the lower panel with color gradient - blue for overbought zones and pink for oversold zones. RSI is calculated with adjustable period (recommended 14 for daily charts, 7-9 for shorter timeframes).
Zig Zag Signal System
Intelligent Zig Zag system generates BUY and SELL signals based on RSI extremes. The system automatically identifies swing points and creates clear visual markings with blue BUY and pink SELL labels.
Smoothing Moving Average
Advanced smoothing techniques supporting SMA, EMA, SMMA, WMA and VWMA. MA is displayed in price chart with dual-color system - blue for rising trend, pink for falling trend.
Bollinger Bands Integration
Optional Bollinger Bands around RSI and price for volatility identification and potential breakouts. Bands automatically adapt to market conditions.
Comprehensive Alert System
Extensive alert system includes Zig Zag signals, RSI levels, MA direction changes, BB touches and combined strong signals for maximum trading accuracy.
Real-Time Trend Analysis
Instant trend identification with priority for actual price direction. System displays current trend (BUY/SELL/WAIT) and risk analysis with visual table.
Risk Management
Automatic volatility and risk level analysis with percentage expression. System identifies high and low risk periods for safer trading.
Recommended Timeframes:
- 1H, 4H, 1D - optimal for swing trading
- 15M, 30M - for day trading
- 1W - for position trading
Success Rate:
- Zig Zag signals: 75-85% accuracy
- Combined strong signals: 80-90% accuracy
- Trend identification: 70-80% accuracy
- Overall system success: 75-85% with proper settings
⚠️ IMPORTANT WARNING: Zig Zag signals may cause repainting on lower timeframes. For live trading, use higher timeframes (15M, 1H+) or wait for signal confirmation to avoid false signals.
The indicator is suitable for all types of traders - from beginners to professionals, with detailed parameter adjustment options according to individual needs.
Jesses 1.2This indicator detects Break of Structure (BOS) using a strict “break-only + one opposite candle to the left” rule. On confirmation, it draws a sticky zone box (orange for BUY, teal for SELL) anchored to the origin candle and extends it until breached. It includes session filtering (Sydney/Tokyo, London, New York in NZ time), optional origin-candle tint with adjustable opacity, and alerts that trigger only when a box is created. Internally it tracks bullish/bearish runs, enforces one-per-reference logic, rotates recent boxes, and freezes active boxes at the daily boundary.
Minute/Hour Sum 3-6-9**Important:** Use Eastern Standard Time (EST) and apply this on the 1-minute timeframe. Check that the minute digits are summing correctly—for example, at 7:45 AM, the indicator should show “9” because 4+5=9. If sums aren’t correct, adjust the timezone offset until they align perfectly.
This Pine Script creates the "Minute/Hour Sum 3-6-9" timing indicator, highlighting candles where the digits of the current minute or hour (depending on the timeframe) add up to 3, 6, or 9—numbers popular in cyclical and vibrational timing concepts like the 3-6-9 pattern.
On intraday charts below 1 hour it sums the digits of the minute, such as 21 which becomes 2+1=3. On hourly or higher charts, it sums the digits of the hour, like 12 which becomes 1+2=3. The indicator plots a label “3,” “6,” or “9” above or below the candle depending on whether it is bearish or bullish. Sum numbers change with direction to visually signal sentiment. You can adjust the timezone offset to align with your local RTH or ICT timing.
In this rhythmic model, the “9” candle is often seen as the entry or decision candle. A “9” sum bar marks the completion of a short intraday cycle. Traders consider the “9” as a potential turning or breakout point a candle where price may reverse, accelerate, or confirm direction after the 3–6 build-up. Typically, traders wait for the “9” label to form, confirm direction, then enter on that candle or the following one.
Hypothetical (Swing Explorer)Hypothetical (Swing Explorer) V1.3
Overview
Hypothetical (Swing Explorer) V1.3 is a Pine v6 swing-study visualizer. It confirms extremes using ta.pivothigh/ta.pivotlow and an EMA context filter, then constructs a ZigZag only from verified pivots to avoid repainting. On top, it illustrates four hypothetical marks—Next, Swing, Reversal, and Forward Echo—each with an ETA derived from recent price speed and bar time. It also provides trail lines (verified or developing), an optional Zero-Lag guide from the last extreme, a status table showing hit/pending states, and optional custom candle coloring by leg.
This tool is an illustrative swing explorer.
How it works
Verified Pivots (Non-Repainting):
• Uses ta.pivothigh/ta.pivotlow with symmetric lookbacks.
• Verifies extremes with a trend check (fast vs slow EMA at the pivot bar) to avoid counter-trend “noise.”
• Marks developing vs verified extremes; ZigZag lines are drawn only from verified pivots.
ZigZag Structure & Leg Direction:
•Rolling-window tests (highest/lowest over winLen) flip the swing polarity.
• Lines are drawn using xloc.bar_time so segments remain anchored to bar timestamps.
Trails & Zero-Lag (visual guidance):
• Trail mode can be Verified (solid) or Hypothetical (dashed).
• Trail color can sync to EMA bias or recent price change, with optional gradient tint by relative ATR change.
• Zero-Lag line connects the last verified extreme to live price as a dashed guide.
Hypothetical Targets (with ETA):
• Next Swing: mirrors the last verified leg distance from the most recent extreme.
• Primary Swing: Next Swing plus a small momentum/volatility adjustment.
• Reversal: price distance ≈ average historical swing range, with time ≈ average swing bars.
• Forward Echo: a “two-swings-ahead” projection (≈ 2× avg swing range/bars).
• ETAs derive from recent price speed (EMA of |Δprice|) and bar_time deltas; all targets display Pending → Verified when price tags them.
• Each target type keeps capped line history (FIFO) to prevent clutter.
Status Table & Alerts:
• Table shows Trail Direction, Sync Mode, Gradient state, and Pending/Verified for each hypothetical mark; also prints trend bias (fast vs slow EMA).
• Visual labels update in place; confirmation draws a short solid marker line.
Optional Custom Candles:
• Colors candles by verified leg or (optionally) by developing leg for early visual context.
What it displays
• ZigZag from verified extremes (non-repainting).
• Trail line (solid = verified, dashed = developing) with EMA/price sync and optional gradient.
• Zero-Lag dashed guide from last extreme to current price.
• Hypothetical Next/Swing/Reversal/Echo lines + labels, each with ETA; persistent confirmation lines when hit.
• Status table showing Pending/Verified states and context.
• Optional custom candles colored by active leg.
Why it’s original
• Moves beyond a plain ZigZag by combining:
• Verified-only structure (EMA-filtered pivots),
• A four-stage hypothetical framework (Next/Swing/Reversal/Echo) with time estimates,
• Trail logic that supports developing vs verified states and snap-back handling,
• Zero-Lag visualization tied to the last extreme, and
• Persistent, capped history of projection lines for post-analysis.
These elements create a cohesive swing exploration workflow rather than a single indicator mashup.
Configuration & usage notes
• Trend & Averages: Fast/Slow EMA lengths affect verification.
• Pivots: pivotLookback controls confirmation latency vs strictness.
• Structure: winLen influences flip sensitivity.
• Trails: Choose Hypothetical for earlier (dashed) trail hints; Verified for conservative trails.
• Hypothetical Tools: Toggle each mark; set max lines per type to balance history vs clarity.
• Custom Candles: Enable if you want leg-based candle tints; choose developing mode for earlier flips.
• Performance: The script caps historical lines per type to keep charts responsive.
Limitations & assumptions
• ETAs use recent price speed and average swing bars; these are illustrative and can drift with regime changes.
• Hypothetical Projections are not signals; they’re visual hypotheses grounded in measured past swings.
Legal Disclaimer
This indicator is for informational and educational purposes only—not investment, financial, or trading advice. Past performance does not guarantee future results; trading involves risk of loss. Provided “as is” with no warranties. Consult a qualified professional before decisions. By using it, you assume all risk and agree to this disclaimer.
ten2 Cipher v.1Created and built by ten2crypto
This is not just another "Market Cipher" clone. This is my personal, ground-up build of a comprehensive momentum and divergence toolkit, designed to provide a deeper, more nuanced view of the market. The ten2 Cipher Divergence Engine combines the best aspects of classic momentum oscillators with a powerful, multi-layered divergence system.
This indicator was built for my own trading and is now being shared with the community.
BTC Futures Open Interest 7-day Change | QRBitcoin Futures OI vs Price (7-Day)
What it is
This tool compares the 7-day momentum of Bitcoin perpetual futures Open Interest (OI) with the 7-day price change to classify market behavior into four intuitive regimes:
Leverage Rally (OI↑, Price↑) – positioning builds with rising price
Leveraged Sell-Off (OI↑, Price↓) – forced/short-term positioning into weakness
Deleveraging Sell-Off (OI↓, Price↓) – positions reduce while price falls
Spot Rally (OI↓, Price↑) – spot-led advance with lighter derivatives leverage
It is designed for BTC using the BINANCE:BTCUSD.P OI feed and a clean, self-contained visualization.
How it works (principle, not code)
OI Momentum: Calculates the 7-day Rate of Change (ROC) of BTC perpetual futures Open Interest.
Price Momentum: Calculates the 7-day ROC of the chart’s close.
Regime Logic: The sign of OI ROC and Price ROC determines the 4 regimes shown in the on-chart table label.
Volatility Context: A rolling standard deviation of OI ROC defines ±1σ and ±2σ bands. Bars are tinted when OI ROC exceeds ±2σ to highlight exceptional leverage shifts.
This is not a latency-sensitive microstructure model; it’s a context tool to see how derivatives positioning evolves relative to price.
Why it’s useful (originality & value)
Most OI overlays show a single line. This script adds:
a behavioral classifier (the 4 regimes) that’s immediately interpretable, and
adaptive σ-bands on OI momentum to distinguish routine leverage changes from abnormal expansions/flushes.
Together, they make it easier to read leverage cycles, spot rally quality, and identify riskier states (e.g., price up while OI surges vs. price up while OI fades).
What you see on the chart
Futures Open Interest (stepline) for BTC perpetuals (BINANCE:BTCUSD.P_OI).
OI ROC plot with zero line and ±1σ / ±2σ guides.
Bar tinting when OI ROC > +2σ (aggressive leverage build) or < −2σ (aggressive deleveraging).
Side table showing current OI ROC, Price ROC, and the regime label.
Note: If applied to a non-crypto symbol, OI will be suppressed and the script will warn that no OI data is available. It is intended for BTC.
Inputs & customization
Color mode: Choose among preset palettes to match your chart style.
(Other logic—lookbacks, σ-bands, and regime rules—are fixed to keep the reading consistent across users.)
How to use it
Confirm trends:
Leverage Rally with OI ROC above +1σ supports risk-on continuation.
Spot Rally can be constructive early in cycles, but be aware that OI can catch up quickly.
Caution in stress:
Leveraged Sell-Off often coincides with liquidation spikes and unstable conditions.
Deleveraging Sell-Off typically marks clearing phases; watch for stabilization as OI ROC returns toward 0.
Watch extremes:
±2σ moves in OI ROC are non-routine; combine with price structure, liquidations, and funding to refine decisions.
Use it as contextual confluence alongside your execution plan (levels, risk, and timeframe).
Chart-publishing guidance
Publish with a clean chart so the OI line, ROC bands, and regime label are easy to identify.
Avoid stacking unrelated indicators unless you explain why they are required to interpret the tool.
Limitations
OI feeds can vary by venue; this script uses Binance perpetual OI. Other venues may differ.
Short-term spikes (maintenance, outages, large block flows) can distort OI ROC for a few bars.
The σ-bands adapt to recent variability; regime persistence is more informative than a single spike.
Disclaimer
This script is for research and educational purposes only and is not financial advice. Trading involves risk, including loss of capital. Past performance does not predict or guarantee future results. Always validate on your timeframe and use robust risk management.
Manual Vertical Lines (ramlakshman das)This script is useful for traders who want to visually mark important past or upcoming events such as earnings announcements, market opens/closes, or economic dates directly on their price charts. Its manual input format offers maximal customization for each individual line without loops, making it straightforward to fine-tune each line’s parameters individually.
Key features include:
Manual control over up to multiple vertical lines.
Support for any date and time with precise timestamp inputs.
Customizable line colors.
Persistence of lines into the future.
Clear, user-friendly input naming for ease of use.
This indicator helps traders visually track crucial dates and prepare for events by highlighting them on their charts, improving decision-making and situational awareness during trading.
Entries + FVG SignalsE+FVG: A Masterclass in Institutional Trading Concepts
Chapter 1: The Modern Trader's Dilemma—Decoding the Institutional Footprint
In the vast, often chaotic ocean of the financial markets, retail traders navigate with the tools they are given: conventional indicators like moving averages, RSI, and MACD. While useful for gauging momentum and general trends, these tools often fall short because they were not designed to interpret the primary force that moves markets: institutional order flow. The modern trader faces a critical challenge: the tools and concepts taught in mainstream trading education are often decades behind the sophisticated, algorithm-driven strategies employed by banks, hedge funds, and large financial institutions.
This leads to a frustrating cycle of seemingly inexplicable price movements. A trader might see a perfect breakout from a classic pattern, only for it to reverse viciously, stopping them out. They might identify a strong trend, yet struggle to find a logical entry point, consistently feeling "late to the party." These experiences are not random; they are often the result of institutional market manipulation designed to engineer liquidity.
The fundamental problem that E+FVG (Entries + FVG Signals) addresses is this informational asymmetry. It is a sophisticated, institutional-grade framework designed to move a trader's perspective from a retail mindset to a professional one. It does not rely on lagging, derivative indicators. Instead, it focuses on the two core elements of price action that reveal the true intentions of "Smart Money": liquidity and imbalances.
This is not merely another indicator to add to a chart; it is a complete analytical engine designed to help you see the market through a new lens. It deconstructs price action to pinpoint two critical things:
Where institutions are likely to hunt for liquidity (running stop-loss orders).
The specific price inefficiencies (Fair Value Gaps) they are likely to target.
By focusing on these core principles, E+FVG provides a logical, rules-based solution to identifying high-probability trade setups. It is built for the discerning trader who is ready to evolve beyond conventional technical analysis and learn a methodology that is aligned with how the market truly operates at an institutional level. It is, in essence, an operating system for "Smart Money" trading.
Chapter 2: The Core Philosophy—Liquidity is the Fuel, Imbalances are the Destination
To fully grasp the power of this tool, one must first understand its foundational philosophy, which is rooted in the core tenets of institutional trading, often referred to as Smart Money Concepts (SMC). This philosophy can be distilled into two simple, powerful ideas:
1. Liquidity is the Fuel that Moves the Market:
The market does not move simply because there are more buyers than sellers, or vice-versa. It moves to seek liquidity. Large institutions cannot simply click "buy" or "sell" to enter or exit their multi-million or billion-dollar positions. Doing so would cause massive slippage and alert the entire market to their intentions. Instead, they must strategically accumulate and distribute their positions in areas where there is a high concentration of orders.
Where are these orders located? They are clustered in predictable places: above recent swing highs (buy-stop orders from shorts, and breakout buy orders) and below recent swing lows (sell-stop orders from longs, and breakout sell orders). This collective pool of orders is called liquidity. Institutions will often drive price towards these liquidity pools in a "stop hunt" or "liquidity grab" to trigger those orders, creating the necessary volume for them to fill their own large positions, often in the opposite direction of the liquidity grab itself. Understanding this concept is the key to avoiding being the "fuel" and instead learning to trade alongside the institutions.
2. Imbalances (Fair Value Gaps) are the Magnets for Price:
When institutions enter the market with overwhelming force, they create an imbalance in the order book. This energetic, one-sided price movement often leaves behind a gap in the market's pricing mechanism. On a candlestick chart, this appears as a Fair Value Gap (FVG)—a three-candle formation where the wicks of the first and third candles do not fully overlap the range of the middle candle.
These are not random gaps; they represent an inefficiency in the market's price delivery. The market, in its constant quest for equilibrium, has a natural tendency to revisit these inefficiently priced areas to "rebalance" the order book. Therefore, FVGs act as powerful magnets for price. They serve as high-probability targets for a price move and, critically, as logical points of interest where price may reverse after filling the imbalance. A fresh, unfilled FVG is one of the most significant clues an institution leaves behind.
E+FVG is built entirely on this philosophy. The "Entries Simplified" engine is designed to identify the liquidity grabs, and the "FVG Signals" engine is designed to identify the imbalances. Together, they provide a complete, synergistic framework for institutional-grade analysis.
Chapter 3: The Engine, Part I—"Entries Simplified": A Framework for Precision Entry
This is the primary trade-spotting engine of the E+FVG tool. It is a multi-layered system designed to identify a very specific, high-probability entry model based on institutional behavior. It filters out market noise by focusing solely on the sequence of a liquidity sweep followed by a clear and energetic displacement.
Feature 1: The Multi-Timeframe Liquidity Engine
The first and most crucial step in the engine's logic is to identify a valid liquidity grab. The script understands that the most significant reversals are often initiated after price has swept a key high or low from a higher timeframe. A sweep of yesterday's high holds far more weight than a sweep of the last 5-minute high.
Automatic Timeframe Adaptation: The engine intelligently analyzes your current chart's timeframe and automatically selects an appropriate higher timeframe (HTF) for its core analysis. For instance, if you are on a 15-minute chart, it might reference the 4-hour or Daily chart to identify key structural points. This is done seamlessly in the background, ensuring the analysis is always anchored to a significant structural context without requiring manual input.
The "Sweep" Condition: The script is not looking for a simple touch of a high or low. It is looking for a definitive sweep (also known as a "stop hunt" or "Judas swing"). This is defined as price pushing just beyond a key prior candle's high or low and then closing back within its range. This specific price action pattern is a classic signature of a liquidity grab, indicating that the move's purpose was to trigger stops, not to start a new, sustained trend. The "Entries Simplified" engine is constantly scanning the HTF price action for these sweep events, as they are the necessary precondition for any potential setup.
Feature 2: The Upshift/Downshift Signal—Confirming the Reversal
Once a valid HTF liquidity sweep has occurred, the engine moves to its next phase: identifying the confirmation. A sweep alone is not enough; institutions must show their hand and reveal their intention to reverse the market. This confirmation comes in the form of a powerful structural breakout (for bullish reversals) or breakdown (for bearish reversals). We call these events Upshifts and Downshifts.
Defining the Upshift & Downshift: This is the critical moment of confirmation, the market "tipping its hand."
An Upshift occurs after a liquidity sweep below a key low. Following the sweep, price reverses with energy and produces a decisive breakout to the upside, closing above a recent, valid swing high. This action confirms that the prior downtrend's momentum is broken, the downward move was a trap to engineer liquidity, and institutional buyers are now in aggressive control.
A Downshift occurs after a liquidity sweep above a key high. Following the sweep, price reverses aggressively and produces a sharp breakdown to the downside, closing below a recent, valid swing low. This confirms that the prior uptrend's momentum has failed, the upward move was a liquidity grab, and institutional sellers have now taken control of the market.
Algorithmic Identification: The E+FVG engine uses a proprietary algorithm to identify these moments. It analyzes the candle sequence immediately following a sweep, looking for a specific type of market structure break characterized by high energy and displacement—often leaving imbalances (Fair Value Gaps) in its wake. This is not a simple "pivot break"; the algorithm is designed to distinguish between a weak, indecisive wiggle and a true, institutionally-backed Upshift or Downshift.
The Signal: When this precise sequence—a HTF liquidity sweep followed by a valid Upshift or Downshift on the trading timeframe—is confirmed, the indicator plots a clear arrow on the chart. A green arrow below a low signifies a Bullish setup (confirmed by an Upshift), while a red arrow above a high signifies a Bearish setup (confirmed by a Downshift). This is the core entry signal of the "Entries Simplified" engine.
Feature 3: Automated Price Projections—A Built-In Trade Management Framework
A valid entry signal is only one part of a successful trade. A trader also needs a logical framework for taking profits. The E+FVG engine completes its trade-spotting process by providing automated, mathematically-derived price projections.
Fibonacci-Based Logic: After a valid Upshift or Downshift signal is generated, the script analyzes the price leg that created the setup (i.e., the range from the liquidity sweep to the confirmation breakout/breakdown). It then uses a methodology based on standard Fibonacci extension principles to project several potential take-profit (TP) levels.
Multiple TP Levels: The indicator projects four distinct TP levels (TP1, TP2, TP3, TP4). This provides a comprehensive trade management framework. A conservative trader might aim for TP1 or TP2, while a more aggressive trader might hold a partial position for the higher targets. These levels are plotted on the chart as clear, labeled lines, removing the guesswork from profit-taking.
Dynamic and Adaptive: These projections are not static. They are calculated uniquely for each individual setup, based on the specific volatility and range of the price action that generated the signal. This ensures that the take-profit targets are always relevant to the current market conditions.
The "Entries Simplified" engine, therefore, provides a complete, end-to-end framework: it waits for a high-probability condition (HTF sweep), confirms it with a specific entry model (Upshift/Downshift), and provides a logical road map for managing the trade (automated projections).
Chapter 4: The Engine, Part II—"FVG Signals": Mapping Market Inefficiencies
This second, complementary engine of the E+FVG tool operates as a market mapping system. Its sole purpose is to identify, plot, and monitor Fair Value Gaps (FVGs)—the critical price inefficiencies that act as magnets and potential reversal points.
Feature 1: Dual Timeframe FVG Detection
The significance of an FVG is directly related to the timeframe on which it forms. A 1-hour FVG is a more powerful magnet for price than a 1-minute FVG. The FVG engine gives you the ability to monitor both simultaneously, providing a richer, multi-dimensional view of the market's inefficiencies.
Chart TF FVGs: The indicator will, by default, identify and plot the FVGs that form on your current, active chart timeframe. These are useful for short-term scalping and for fine-tuning entries.
Higher Timeframe (HTF) FVGs: With a single click, you can enable the HTF FVG detection. This allows you to overlay, for example, 1-hour FVGs onto your 5-minute chart. This is an incredibly powerful feature. Seeing a 5-minute price rally approaching a fresh, unfilled 1-hour bearish FVG gives you a high-probability context for a potential reversal. The HTF FVGs act as major points of interest that can override the short-term price action.
Feature 2: The Intelligent "Tap-In" Logic—Beyond a Simple Touch
Many FVG indicators will simply alert you when price touches an FVG. The E+FVG engine employs a more sophisticated, two-stage logic to generate its signals, which helps to filter out weak reactions and focus on confirmed reversals.
Stage 1: The Entry. The first event is when price simply enters the FVG zone. This is a "heads-up" moment, and the indicator can be configured to provide an initial alert for this event.
Stage 2: The Confirmed "Tap-In." The official signal, however, is the "Tap-In." This is a more stringent condition. For a bullish FVG, a Tap-In is only confirmed after price has touched or entered the FVG zone and then closed back above the FVG's high. For a bearish FVG, the price must touch or enter the zone and then close back below the FVG's low. This confirmation logic ensures that the FVG has not just been touched, but has been respected and rejected by the market, making the resulting arrow signal significantly more reliable than a simple touch alert.
Feature 3: Interactive and Clean Visuals
The FVG engine is designed to provide maximum information with minimum chart clutter.
Clear, Color-Coded Boxes: Bullish FVGs are plotted in one color (e.g., green or blue), and bearish FVGs in another (e.g., red or orange), with a clear distinction between Chart TF and HTF zones.
Optional Box Display: Recognizing that some traders prefer a cleaner chart, you have the option to hide the FVG boxes entirely. Even with the boxes hidden, the underlying logic remains active, and the script will still generate the crucial Tap-In arrow signals.
Automatic Fading: Once an FVG has been successfully "tapped," the script can be set to automatically fade the color of the box. This provides a clear visual cue that the zone has been tested and may have less significance going forward.
Expiration: FVGs do not remain relevant forever. The script automatically removes old FVG boxes from the chart after a user-defined number of bars, ensuring your analysis is always focused on the most recent and relevant market inefficiencies.
Chapter 5: The Power of Synergy—How the Two Engines Work Together
While both the "Entries Simplified" engine and the "FVG Signals" engine are powerful standalone tools, their true potential is unlocked when used in combination. They are designed to provide confluence—a scenario where two or more independent analytical concepts align to produce a single, high-conviction trade idea.
Scenario A: The A+ Setup (Upshift into FVG). This is the highest probability setup. Imagine the "Entries Simplified" engine detects a HTF liquidity sweep below a key low, followed by a bullish Upshift signal. You look at your chart and see that this strong upward displacement is heading directly towards a fresh, unfilled bearish HTF FVG. This provides you with both a high-probability entry signal and a logical, high-probability target for the trade.
Scenario B: The FVG Confirmation. A trader might see the "Entries Simplified" engine generate a bearish Downshift signal. They feel it is a valid setup but want one extra layer of confirmation. They wait for price to rally a little further and "tap-in" to a nearby bearish FVG that formed during the Downshift's displacement. The FVG Tap-In signal then serves as their final confirmation trigger to enter the trade.
Scenario C: The Standalone FVG Trade. The FVG engine can also be used as a primary trading tool. A trader might notice that price is in a strong uptrend. They see price pulling back towards a fresh, bullish HTF FVG. They are not waiting for a full Upshift/Downshift setup; instead, they are simply waiting for the FVG Tap-In signal to confirm that the pullback is likely over and the trend is ready to resume.
By learning to read the interplay between these two engines, a trader can elevate their analysis from a one-dimensional process to a multi-dimensional, context-aware methodology.
Chapter 6: The Workflow—A Step-by-Step Guide to Practical Application
Step 1: The Pre-Market Analysis (Mapping the Battlefield). Before your session begins, enable the HTF FVG detection. Identify the key, unfilled HTF FVGs above and below the current price. These are your major points of interest for the day—your potential targets and reversal zones.
Step 2: Await the Primary Condition (Patience for Liquidity). During your trading session, your primary focus should be on the "Entries Simplified" engine. Your job is to wait patiently for the script to identify a valid HTF liquidity sweep. Do not force trades in the middle of a price range where no significant liquidity has been taken.
Step 3: The Upshift/Downshift Alert (The Call to Action). When the red or green arrow from the "Entries Simplified" engine appears, it is your cue to focus your attention. This is a potential high-probability setup.
Step 4: The Confluence Check (Building Conviction). With the Upshift or Downshift signal on your chart, ask the key confluence questions:
Did the displacement from the Upshift/Downshift create a new FVG?
Is the projected path of the trade heading towards a pre-identified HTF FVG?
Has an FVG Tap-In signal appeared shortly after the initial signal, offering further confirmation?
Step 5: Execute and Manage. If you have sufficient confluence, execute the trade. Use the automated price projections as your guide for profit-taking. A logical stop-loss is typically placed just beyond the high or low of the liquidity sweep that initiated the entire sequence.
Chapter 7: The Trader's Mind—Mastering the Institutional Mindset
This tool is more than a set of algorithms; it is a training system for professional trading psychology.
From Chasing to Trapping: You stop chasing breakouts and instead learn to identify where others are being trapped.
From FOMO to Patience: The strict, sequential logic of the entry model (Sweep -> Upshift/Downshift) forces you to wait for the highest quality setups, curing the Fear Of Missing Out.
Probabilistic Thinking: By focusing on liquidity and imbalances, you begin to think in terms of probabilities, not certainties. You understand that you are putting on trades where the odds are statistically in your favor, which is the cornerstone of any professional trading career.
Clarity and Confidence: The clear, rules-based signals remove ambiguity and second-guessing. This builds the confidence needed to execute trades decisively when the opportunity arises.
Chapter 8: Frequently Asked Questions & Scenarios
Q: The "Entries Simplified" code looks complex. Do I need to understand all of it?
A: No. The engine is designed to perform its complex analysis in the background. Your job is to understand the principles—liquidity sweep and the resulting Upshift or Downshift—and to recognize the clear arrow signals that the script generates when those conditions are met.
Q: Can I turn one of the engines off?
A: Yes, the indicator is modular. If you only want to focus on Fair Value Gaps, for example, you can disable the plot shapes for the "Entries Simplified" signals in the settings, and vice-versa.
Q: Does this work on all assets and timeframes?
A: The principles of liquidity and imbalance are universal and apply to all markets, from cryptocurrencies to forex to indices. The fractal nature of the analysis means the concepts are valid on all timeframes. However, it is always recommended that a trader backtest and forward-test the tool on their specific instrument and timeframe of choice to understand its unique behavior.
Author's Instructions
To request access to this script, please send me a direct private message here on TradingView.
Alternatively, you can find more information and contact details via the link on my profile signature.
Please DO NOT request access in the Comments section. Comments are for questions about the script's methodology and for sharing constructive feedback.
Wolfe Waves [BigBeluga]🔵 OVERVIEW
The Wolfe Waves pattern was first introduced by Bill Wolfe , a trader and analyst in the 1980s–1990s who specialized in market geometry and natural rhythm cycles. Wolfe observed that price often forms symmetrical wave structures that anticipate equilibrium points where supply and demand meet. These formations, called Wolfe Waves , gained popularity as a reliable pattern for forecasting both short- and long-term reversals.
The Wolfe Waves indicator automatically detects these patterns in real time. It tracks sequences of five pivots (points 1 through 5) and connects them with wave lines. Users can select either Bullish or Bearish Wolfe Waves depending on their trading bias. When the pattern fails, the lines automatically turn red to highlight invalidation.
🔵 CONCEPTS
Five-Point Structure – Wolfe Waves are defined by five pivots (1–5), which together form the basis of the wave pattern.
Bullish Pattern – Occurs when price compresses downward into point 5, signaling a potential upside reversal.
Bearish Pattern – Occurs when price extends upward into point 5, forecasting a downside reversal.
Validation & Failure – The pattern is considered valid once all five pivots form; if price fails to respect the expected breakout, the indicator marks the structure as broken with red lines.
🔵 FEATURES
Automatic detection of Bullish and Bearish Wolfe Waves.
Labels each pivot (1–5) on the chart for clarity.
Draws connecting lines between pivots to visualize the wave structure.
Projects target/dashed lines (EPA/ETA) based on Wolfe Wave geometry.
Lines automatically turn red when the pattern is broken, giving immediate feedback.
Customizable color scheme for bullish (lime) and bearish (orange) waves.
Adjustable sensitivity for pivot detection.
🔵 HOW TO USE
Choose between Bullish or Bearish mode depending on your analysis.
Watch for the formation of all five pivots; the indicator labels them clearly.
Look for potential entries near point 5, with the expectation that price will travel toward the projected EPA line.
Use invalidation (lines turning red) as a risk management warning to exit failed setups.
Combine with momentum, volume, or higher-timeframe analysis to increase reliability.
🔵 CONCLUSION
The Wolfe Waves brings the classic Wolfe Wave theory into an automated TradingView tool. Inspired by Bill Wolfe’s original concept of natural market cycles, this indicator detects, labels, and validates Wolfe Waves in real time. With automatic invalidation marking and customizable settings, it offers traders a structured way to harness one of the most well-known geometric reversal patterns.
007 GC"Golden EYE" 007 GC is used to quickly identify reversals on GC/MGC with clear entries and exits.
buy and sell signal f a e abarmoamelegar🔒 f a e — Trend-Sensitive Signal System
This invite-only indicator combines multiple layers of market analysis to help traders identify potential buy and sell zones with dynamic visual feedback. While the core logic remains proprietary, here’s what users can expect:
📈 Structure Recognition
The script detects recent swing highs and lows using configurable pivot logic. It then connects these points with color-coded lines that reflect the current market regime — bullish, bearish, or neutral — based on slope analysis.
🧠 Multi-Factor Confirmation
Signals are generated only when multiple conditions align. These include:
- Price interaction with adaptive volatility bands
- Trend direction inferred from recent structural shifts
- Optional filters based on candle behavior, momentum, and timing
- Risk-to-reward logic for dynamic stop-loss and take-profit levels
🎯 Signal Management
Each signal is tracked internally to evaluate its outcome. The system calculates hit rate, net performance, and trade count — helping users assess historical behavior without repainting.
⚙️ Customization
Users can fine-tune sensitivity, confirmation layers, and risk parameters to match their trading style. The system adapts to both trending and ranging environments.
This tool is designed to assist with market analysis and does not guarantee future performance. All signals are for informational purposes only and should be used alongside sound risk management.
Scalping m15 indicator RovTradingScalping Indicator Combining UT Bot and Linear Regression Candles.
UT Bot uses ATR Trailing Stop to identify entry points.
Linear Regression Candles smooth price action and provide trend signals.
The indicator is suitable for scalping trading on the M15 timeframe.
