指標和策略
MTF MACD( TF0 cross 0 ) MULTI TIMEFRAME MACD Checking with OSMA TF+1 Momentum check
and TF+2 Trend Check to clarify the clean signal
Skewness Indicator偏態分佈指標Skewness Indicator
核心功能
偏度計算 - 測量價格分佈的不對稱性
正偏度:價格傾向於右偏,可能表示上漲趨勢
負偏度:價格傾向於左偏,可能表示下跌趨勢
可自定義參數
計算週期(預設20)
數據源(收盤價、開盤價等)
正負偏態閾值
視覺化元素
藍色線:即時偏度值
橙色線:偏度移動平均(平滑訊號)
背景顏色:綠色表示強正偏態,紅色表示強負偏態
信號標記:三角形標示潛在的交易機會
交易信號
看漲信號:當偏度向上突破負閾值
看跌信號:當偏度向下跌破正閾值
資訊面板 - 右上角顯示當前偏度值和狀態
功能
多時間週期(HTF) - 可選擇在更高時間框架上計算偏度(例如在5分鐘圖上顯示日線的偏度)
交易信號 - 三角形標記顯示潛在的交易機會
資訊面板 - 右上角顯示當前偏度值和市場狀態
視覺提示 - 閾值線和背景顏色提示極端狀態
使用建議
在參數中勾選「使用高時間週期」
選擇你想要的時間週期(如 D=日線, W=週線, 240=4小時)
這樣可以在短週期圖表上看到長週期的偏態趨勢
Core functions
Skewness calculation-Measuring the asymmetry of price distribution
Positive bias: The price tends to the right, which may indicate an upward trend
Negative bias: The price tends to the left, which may indicate a downward trend
Customizable parameters
Calculation cycle (default 20)
Data source (closing price, opening price, etc.)
Positive and negative bias threshold
Visual elements
Blue line: instant skewness value
Orange line: skewed moving average (smooth signal)
Background color: green indicates a strong positive bias, red indicates a strong negative bias
Signal mark: Triangle marks potential trading opportunities
Trading signals
Bullish signal: when the skewness breaks through the negative threshold upward
Bearish signal: when the bias falls below the positive threshold
Information panel-the upper right corner displays the current skewness value and status
function
Multi-time period (HTF)-you can choose to calculate the skewness on a higher time frame (for example, display the skewness of the daily line on a 5-minute chart)
Trading signals-Triangle marks show potential trading opportunities
Information panel-the upper right corner displays the current skewness value and market status
Visual cues-threshold lines and background colors indicate extreme states
Recommendations for use
Check "Use high time period" in the parameters
Choose the time period you want (e.g. D= daily, W= weekly, 240= 4 hours)
In this way, you can see the long-cycle bias trend on the short-cycle chart
furs ENG, Pinbar, IBF + HTFThis script will detect 3 types of patterns:
- Engufing Candles
- Pinbars
- Inside Bar Failures
It will also report whether any of the patterns are currently happening on HTF (previous candle - hence you will know whether previous day or week was engulfing, for example, and take action on it)
Multi KI Agenten Strategie (Final V2)What's included in the Pine Script (Technical Analysis)
These features are mathematically implemented in the script and function as "agent logic":
• Trend Following: Integrated via EMAs (50, 100, 200).
• Volume Analysis: An agent checks for institutional volume spikes.
• Supply & Demand: Zones are calculated based on price extremes.
• RSI & Fibonacci: Both are built in as decision criteria for the agents.
• Controlling AI: The "veto logic" in the code acts as a controlling instance, blocking signals if the risk is too high or divergences exist.
• Alerts: The "LONG" and "SHORT" alerts are only triggered after approval by the controlling mechanism.
BTC Scalping 3m | Supertrend + MACD Squeeze (NY) [v6 FINAL]BTC 3-Minute Scalping Strategy
Supertrend Bias + MACD Squeeze (New York Session)
This is a fully mechanical BTC scalping strategy designed to capture short momentum bursts that occur when volatility expands in the direction of the higher-timeframe trend.
The strategy combines trend confirmation, volatility compression/expansion, and strict session filtering to reduce noise and improve consistency.
How It Works
Trend Bias
Uses a 15-minute Supertrend to define market direction.
Trades are taken only in the direction of the higher-timeframe trend.
Counter-trend signals are ignored.
Timing & Entry
Executes on the 3-minute chart.
Waits for volatility compression using a LazyBear-style MACD Squeeze.
Enters only when the squeeze releases and momentum turns positive.
Entry occurs on candle close above the execution-timeframe Supertrend.
Session Filter
Trades only during the New York session (13:00–21:00 UTC).
This avoids low-liquidity periods and reduces false breakouts.
Risk & Exits
Dynamic stop-loss placed at the execution-timeframe Supertrend.
Risk is calculated using the actual filled entry price for accurate R-based exits.
Primary profit target is 0.5R, optimized for scalping.
Positions are exited immediately if:
Price closes against Supertrend
Supertrend flips direction
Momentum (MACD histogram) turns negative
Trades are typically short-lived (1–3 candles), keeping exposure minimal.
Key Characteristics
Non-repainting logic
Fully rule-based (no discretion)
High win-rate, low-RR scalping profile
Designed for BTC futures/perpetuals
Optimized for New York session volatility
Usage Notes
Run on BTC 3-minute charts
Best results during active NY hours
Performance will vary by exchange, fees, and slippage
This strategy is intended for education and testing, not financial advice
Summary
This strategy focuses on trading volatility expansion aligned with trend, using Supertrend for structure and MACD Squeeze for timing. By restricting trades to high-liquidity hours and enforcing strict exits, it aims for consistent, repeatable scalps rather than large directional bets.
GC/DC Momentum Predictor🎯 GC/DC Momentum Predictor v1.0
CORE CONCEPT:
Predicts Golden Cross/Death Cross BEFORE they occur by analyzing momentum, proximity, and trend alignment across 3 moving averages (20/60/120).
KEY SIGNALS:
- Strong GC/DC: Signals occurring with trend (above/below 120 MA) - Highest reliability
- Weak GC/DC: Signals occurring against trend - Lower reliability, use caution
- Support Hold: ⭐ MOST IMPORTANT - Price bounces from 120 MA during DC = Low-risk buy opportunity
- Resistance Break: Price breaks above 120 MA during GC = Strong bullish confirmation
HOW TO USE:
1. Add indicator to chart (works best on 4H/Daily timeframes)
2. Customize MA periods in Settings if needed (default: 20/60/120)
3. Set up alerts for key signals (especially "Support Hold")
4. Watch dashboard for real-time signal status
DASHBOARD GUIDE:
- MA: Your moving average periods
- Signal: Current prediction (Strong GC/Weak GC/Strong DC/Weak DC/No Signal)
- Short MA: 20/60 alignment (Bullish/Bearish/Mixed)
- Long MA: Price position vs 120 MA (Bullish/Bearish)
- 120 Status: Support/Resistance action (most critical for entries/exits)
- Gap: Distance between 20/60 MAs (negative = DC zone, positive = GC zone)
ALERT SETUP:
Create alerts in TradingView for:
- 💪 Support Hold (best buy signal)
- ✅ Strong GC (strong uptrend entry)
- 🚀 Resistance Break (breakout confirmation)
- ❌ Strong DC (exit signal)
CUSTOMIZATION:
All dashboard rows can be toggled on/off in Settings > Dashboard Settings
Adjust colors, position, and size to match your trading style
BEST PRACTICES:
✓ Wait for "Support Hold" during corrections for optimal entries
✓ Strong signals are more reliable than Weak signals
✓ Combine with volume analysis for confirmation
✓ Use "Once Per Bar Close" for alerts to avoid false signals
PARAMETER GUIDE:
- Short SMA (20): Short-term moving average period
- Long SMA (60): Mid-term moving average period
- Trend SMA (120): Long-term trend moving average period
- Proximity Threshold (2%): How close MAs must be for signal (lower = fewer signals)
- Acceleration Factor (1.2): Momentum strength requirement (higher = fewer signals)
Version 1.0 | January 2025
Free to use | Please leave feedback in comments!
🎯 GC/DC 모멘텀 예측기 v1.0
핵심 개념:
3개의 이동평균선(20/60/120)에서 모멘텀, 근접도, 추세 정렬을 분석하여 골든크로스/데드크로스를 발생 전에 미리 예측합니다.
주요 신호:
- Strong GC/DC: 추세와 함께 발생하는 신호(120 MA 위/아래) - 신뢰도 최고
- Weak GC/DC: 추세와 반대로 발생하는 신호 - 신뢰도 낮음, 주의 필요
- Support Hold: ⭐ 가장 중요 - DC 중 120 MA에서 반등 = 저위험 매수 기회
- Resistance Break: GC 중 120 MA 돌파 = 강한 상승 확인
사용 방법:
1. 차트에 지표 추가 (4시간봉/일봉에서 최적)
2. 필요시 설정에서 MA 기간 조정 (기본값: 20/60/120)
3. 핵심 신호에 대한 알림 설정 (특히 "Support Hold")
4. 대시보드에서 실시간 신호 상태 확인
대시보드 가이드:
- MA: 사용 중인 이동평균 기간
- Signal: 현재 예측 신호 (Strong GC/Weak GC/Strong DC/Weak DC/No Signal)
- Short MA: 20/60 배열 상태 (Bullish/Bearish/Mixed)
- Long MA: 120 MA 대비 가격 위치 (Bullish/Bearish)
- 120 Status: 지지/저항 행동 (진입/청산에 가장 중요)
- Gap: 20/60 MA 간 거리 (음수 = DC 구간, 양수 = GC 구간)
알림 설정:
트레이딩뷰에서 다음 신호에 대한 알림 생성:
- 💪 Support Hold (최고의 매수 신호)
- ✅ Strong GC (강한 상승 추세 진입)
- 🚀 Resistance Break (돌파 확인)
- ❌ Strong DC (청산 신호)
커스터마이징:
모든 대시보드 행은 설정 > Dashboard Settings에서 켜기/끄기 가능
색상, 위치, 크기를 트레이딩 스타일에 맞게 조정
추천 사용법:
✓ 조정 시 "Support Hold" 대기로 최적 진입점 확보
✓ Strong 신호가 Weak 신호보다 신뢰도 높음
✓ 거래량 분석과 병행하여 확인
✓ 알림은 "봉 종가 시 한 번"으로 설정하여 허위 신호 방지
파라미터 설명:
- Short SMA (20): 단기 이동평균 기간
- Long SMA (60): 중기 이동평균 기간
- Trend SMA (120): 장기 추세 이동평균 기간
- Proximity Threshold (2%): 신호 발생을 위한 MA 간 근접도 (값이 작을수록 신호 적음)
- Acceleration Factor (1.2): 모멘텀 강도 요구 수준 (값이 클수록 신호 적음)
버전 1.0 | 2025년 1월
무료 사용 | 댓글로 피드백 부탁드립니다!
WYCKOFF_SHARED_LIBLibrary "WYCKOFF_SHARED_LIB"
EPS()
nz0(x)
Parameters:
x (float)
safe_div(num, den)
Parameters:
num (float)
den (float)
safe_div_eps(num, den)
Parameters:
num (float)
den (float)
safe_ratio(a, b)
Parameters:
a (float)
b (float)
clamp(x, lo, hi)
Parameters:
x (float)
lo (float)
hi (float)
wave_dir(startPx, endPx)
Parameters:
startPx (float)
endPx (float)
wave_amp(startPx, endPx)
Parameters:
startPx (float)
endPx (float)
wave_amp_atr(amp, atr)
Parameters:
amp (float)
atr (float)
wave_speed(ampATR, lenBars)
Parameters:
ampATR (float)
lenBars (int)
wave_eff(amp, path)
Parameters:
amp (float)
path (float)
build_wave_metrics(dir, lenBars, startPx, endPx, ampATR, speed, eff, volRel, epr)
Parameters:
dir (int)
lenBars (int)
startPx (float)
endPx (float)
ampATR (float)
speed (float)
eff (float)
volRel (float)
epr (float)
compare_waves(w0, w1)
Parameters:
w0 (WaveMetrics)
w1 (WaveMetrics)
strengthening_same_dir(c)
Parameters:
c (WaveCompare)
weakening_same_dir(c)
Parameters:
c (WaveCompare)
evr_by_waves(volSum0, ampATR0, volSum1, ampATR1)
Parameters:
volSum0 (float)
ampATR0 (float)
volSum1 (float)
ampATR1 (float)
WaveMetrics
Fields:
dir (series int)
lenBars (series int)
startPx (series float)
endPx (series float)
amp (series float)
ampATR (series float)
speed (series float)
eff (series float)
volRel (series float)
effortPerResult (series float)
WaveCompare
Fields:
amp_ratio (series float)
speed_ratio (series float)
eff_ratio (series float)
volRel_ratio (series float)
epr_ratio (series float)
EVR
Fields:
state (series int)
HTF Double BOS + Inducement (XAU) ebenThis indicator is a market structure and inducement scanner designed to assist discretionary traders.
It identifies:
• Higher-timeframe market regime using a double Break of Structure (BOS) on the Daily and 4H timeframes.
• Lower-timeframe Break of Structure (BOS).
• Valid inducement based on a minimum 70% retracement rule.
The script is intended to be used as a confirmation and alert tool, not as a standalone buy/sell system.
⸻
How It Works
1. The indicator first confirms directional bias using Daily and 4H BOS alignment.
2. When higher-timeframe bias is valid, it scans the active chart timeframe for:
• a Break of Structure,
• followed by inducement using a retracement-based rule.
3. When conditions align, the script displays a visual marker and can trigger an alert.
⸻
Important Notes
• This indicator does not predict price.
• It does not automatically execute trades.
• It should be used in conjunction with proper risk management and personal analysis.
• Signals may appear less frequently due to strict filtering logic.
⸻
Recommended Usage
• Best suited for trend-following strategies.
• Works well on Gold (XAUUSD) and other liquid markets.
• Designed for use on 30m, 15m, and 5m charts.
• Alerts should be treated as areas of interest, not direct trade instructions.
⸻
Disclaimer
This script is provided for educational and analytical purposes only.
The author is not responsible for trading losses. Use at your own risk.
Premium Money Flow Oscillator [NeuraAlgo]Premium Money Flow Oscillator (PMFO) — NeuraAlgo
The Premium Money Flow Oscillator (PMFO) is an advanced volume-weighted momentum engine designed to reveal true capital flow, not just price movement.
It combines multi-layer smoothing, zero-lag correction, and dynamic normalization to deliver a clean, responsive, and noise-resistant money flow signal suitable for both scalping and swing trading.
Unlike traditional oscillators, PMFO focuses on pressure behind price — showing when smart money accumulation or distribution is actively occurring.
🔹 Core Features
Volume-Weighted Money Flow
Measures real buying and selling pressure using price displacement × volume.
Filters out weak price moves with low participation.
Multi-Layer Smoothing Engine
EMA + SMA hybrid base smoothing
Gaussian noise reduction
Zero-Lag correction
Deep & Super smoothing layers
→ Result: ultra-smooth yet fast reaction to momentum shifts.
Dynamic Normalization
Automatically adapts to volatility.
Keeps signals consistent across all markets and timeframes.
🔹 Smart Zones & Visual Intelligence
Dynamic Overbought / Oversold Zones
Zones strengthen visually as momentum increases.
Strong zones highlight extreme institutional pressure.
Adaptive Gradient Coloring
Color intensity reflects money flow strength.
Instantly see dominance without reading numbers.
Background Pulse
Subtle market bias feedback (bullish / bearish pressure).
🔹 Multi-Timeframe Confirmation
Optional Higher Timeframe Money Flow Confirmation
Align lower-timeframe entries with higher-timeframe capital direction.
Ideal for trend validation and false-signal reduction.
🔹 Professional Dashboard
Live Money Flow Value
Market Flow State
Strength Percentage
MTF Trend Bias
Institutional-style status readout designed for quick decision making.
🔹 Best Use Cases
✔ Trend confirmation
✔ Momentum continuation entries
✔ Reversal exhaustion detection
✔ Divergence analysis
✔ Smart money flow tracking
⚠️ Notes
PMFO works best when combined with price structure, support/resistance, or trend context.
Extreme readings indicate pressure, not immediate reversal — always wait for confirmation.
Designed for traders who want clarity, not clutter.
Built for precision, not lag.
Laplace Transform Oscillator Pro主要功能:
拉普拉斯變換近似:使用指數衰減權重來模擬拉普拉斯域的平滑效果
震盪器(LTO):顯示價格與拉普拉斯平滑值的差異
信號線:提供交易信號的參考線
柱狀圖:顯示LTO與信號線的差異
參數說明:
Length:拉普拉斯變換的窗口長度(預設14)
Alpha:衰減係數,控制平滑程度(預設0.3,越小越平滑)
Signal Line Length:信號線的EMA週期(預設9)
交易信號:
🟢 買入信號:LTO向上穿越信號線時出現綠色三角形
🔴 賣出信號:LTO向下穿越信號線時出現紅色三角形
背景顏色會根據趨勢變化(綠色=看漲,紅色=看跌)
功能:
資訊面板:顯示當前LTO值、訊號線、趨勢強度和距離上次訊號的K棒數
視覺標記:🚀(買入) 🔻(賣出)更清楚的標示
門檻線:綠色/紅色虛線顯示訊號觸發區域
⚙️ 建議參數調整:
提高Signal Threshold(0.5→1.0)可進一步減少訊號
增加Min Bars Between Signals(5→10)延長間隔
調整Length(21)可改變靈敏度
Main functions:
Laplace transform approximation: Use exponential attenuation weights to simulate the smoothing effect of the Laplace domain
Oscillator (LTO): Shows the difference between the price and the Laplace smoothing value
Signal line: A reference line that provides trading signals
Histogram: Shows the difference between LTO and signal line
Parameter description:
Length: The window length of the Laplace transform (preset 14)
Alpha: Attenuation coefficient, control the degree of smoothing (preset 0.3, the smaller the smoother)
Signal Line Length: The EMA cycle of the signal line (default 9)
Trading signals:
🟢Buy signal: A green triangle appears when LTO crosses the signal line upward
🔴Sell signal: A red triangle appears when LTO crosses the signal line downwards
The background color will change according to the trend (green = bullish, red = bearish)
function:
Information panel: displays the current LTO value, signal line, trend strength, and the number of K bars from the last signal
Visual marking:清楚(buy) 🔻 (sell) Clearer marking
Threshold line: Green/red dotted line shows the signal trigger area
️️ Recommended parameter adjustment:
Increasing the Signal Threshold (0.5→1.0) can further reduce the signal
Increase Min Bars between Signals (5→10) to extend the interval
Adjust the length (21) to change the sensitivity
Ultimate Gold & FX K-NN Master V95A sophisticated market analysis tool powered by K-NN.
Users have full control over MACD, STC, and SMC configurations. With integrated Elliott Wave analysis, this tool offers high-level functionality for professional trading.
Sameer Bandhara AlertsThis Sameer Bandhara (SB Trader) indicator is a dynamic trailing stop-loss system based on the Average True Range (ATR). Here's a comprehensive breakdown:
It uses ATR to create an adaptive trailing stop that adjusts to market volatility, generating buy/sell signals when price breaks through this dynamic stop level.
Forex/Stocks: Key Value 1.5-2.5, ATR Period 14-20
Crypto: Key Value 2.0-3.0 (higher volatility)
Timeframes: 1H and above (reduces noise)
VWAP Direction HelperVWAP Direction Helper – Oscillator Panel is a lightweight directional bias indicator designed for intraday traders and scalpers who want a clear market context without cluttering the price chart. The script automatically plots an anchored VWAP based on a user-defined session start time and displays a minimal two-row dashboard in a separate oscillator panel. The dashboard shows the VWAP status (Active or Not Active, including the anchor time) and the current price location relative to VWAP. When price is above VWAP, the location is highlighted in green to indicate bullish bias; when below VWAP, it is shown in purple to indicate bearish bias. The indicator does not generate buy or sell signals and does not repaint—its sole purpose is to act as a market compass, helping traders align their execution strategies with the dominant intraday direction.
Weekly Swing Trading Signals - DP V1.0This script generates swing trading signals on weekly charts based on 200 SMA and RSI values.
Volume Cluster Profile [VCP] (Zeiierman)█ Overview
Volume Cluster Profile (Zeiierman) is a volume profile tool that builds cluster-enhanced volume-by-price maps for both the current market window and prior swing segments.
Instead of treating the profile as a raw histogram only, VCP detects the dominant volume peaks (clusters) inside the profile, then uses a Gaussian spread model to “radiate” those peaks into surrounding price bins. This produces a smoother, more context-aware profile that highlights where volume is most meaningfully concentrated, not just where it happened to print.
On top of the live profile, VCP automatically records historical swing profiles between pivots, wraps each segment for clarity, and can project the most recent segment’s High/Low Value extensions (VA/LV) forward to the current bar to keep key structure visible as price evolves.
█ How It Works
⚪ 1) Profile Construction (Volume-by-Price)
VCP builds a volume profile histogram over a chosen window (current lookback, or a swing segment):
Range Scan
The script finds the full min → max price range inside the window.
Bin the Range
That range is divided into a user-defined number of Price Bins (rows). More bins = finer detail, but heavier computation.
Accumulate Volume into Bins
For each bar inside the window, the script takes the bar’s close price, determines which price bin it belongs to, and adds the bar’s volume to that bin.
float step = (maxPrice - minPrice) / binsCount
for i = 0 to barsToUse - 1
int b = f_clamp(int(math.floor((close - minPrice) / step)), 0, binsCount - 1)
volBins += volume
Result: volBins becomes a standard volume-by-price histogram (close-based binning).
⚪ 2) Cluster Detection (Finding Dominant Peaks)
Once the raw histogram is built, VCP identifies cluster centers as the most meaningful volume “hills”:
Local Peak Test
A bin becomes a cluster candidate if its volume is greater than or equal to its immediate neighbors (left/right).
Filter Weak Peaks
Peaks must also be above a basic activity threshold (relative to the average bin volume) to avoid noise.
bool isPeak = v >= left and v >= right
if isPeak and v > avgVol
array.push(clusterIdxs, b)
Keep the Best Peaks Only
If too many peaks exist, the script keeps only the strongest ones, capped by: Max Cluster Centers
Result: clusterIdxs = the set of dominant profile peaks (cluster centers).
⚪ 3) Cluster Enhancement (Gaussian Spread Model)
This is what makes VCP different from a raw profile.
Instead of using volBins directly, the script builds an enhanced profile where each cluster center influences nearby price bins using a Gaussian curve:
Distance from each bin to each cluster center is computed in “bin units”
A Gaussian weight is applied so that bins near the center receive stronger influence, while bins farther away decay smoothly.
Cluster Spread (sigma) controls how wide this influence reaches: low sigma produces tight, sharp clusters, while high sigma results in wider, smoother structure zones.
enhanced += centerV * math.exp(-(dist*dist) / (2.0 * clusterSigma * clusterSigma))
volBinsAI := enhanced / szClFinal
Result: volBinsAI = the cluster-enhanced volume value for each bin.
In practice, VCP turns the profile into a structure map of dominant volume concentrations, rather than a simple “where volume printed” histogram.
⚪ 4) POC from the Enhanced Profile
After enhancement:
The bin with the highest volBinsAI becomes the POC (Point of Control)
POC is plotted at the midpoint price of that bin
if volBinsAI > maxVol
maxVol := volBinsAI , pocBin := b
So the POC reflects the cluster-enhanced profile rather than the raw histogram.
█ How to Use
⚪ Read Cluster Structure (Default = 2 Clusters)
By default, the Volume Cluster Profile (VCP) is configured to detect up to 2 dominant volume clusters within the profile. These clusters represent price zones where the market accepted trading activity, not just where volume printed randomly.
⚪ When TWO Clusters Appear
When VCP detects two distinct clusters, it usually indicates:
Two competing areas of value
Ongoing auction between higher and lower acceptance zones
Treat each cluster as an acceptance zone
Expect slower price action and rotation inside clusters
Expect faster movement in the low-volume space between clusters
Use cluster-to-cluster movement as:
rotation targets
range boundaries
acceptance vs rejection tests
Typical behavior:
Price enters a cluster → stalls, consolidates, rotates
Price rejects at cluster edge → moves toward the opposite cluster
⚪ When ONLY ONE Cluster Appears
If VCP detects only one cluster, or if two clusters visually merge into one:
Volume is no longer split
The market has formed a single dominant value area
Price consensus is strong
Treat the cluster as the primary value anchor
Expect pullbacks and reactions around this zone
Bias becomes directional:
Above the cluster → bullish context
Below the cluster → bearish context
Inside the cluster → balance/chop
This structure often appears during clean trends or stable equilibria.
⚪ VA/LV Extensions
VCP projects two zones from the end of the most recent swing segment:
VA extension = the segment’s highest enhanced-volume bin (dominant zone)
LV extension = the segment’s lowest enhanced-volume bin (thin/weak zone)
A breakout of the VA extension signals acceptance and potential continuation. A retest of the VA or LV extension is used to confirm acceptance or rejection, while rejection from either zone often leads to rotation back toward value.
█ Settings
Cluster Volume Profile
Lookback Bars – how many recent bars build the current profile
Price Bins – profile resolution (more bins = more detail, heavier CPU)
Cluster Spread – Gaussian sigma; higher values widen/smooth cluster influence
Max Cluster Centers – cap on detected peaks used in enhancement
Historical Swing Cluster Volume Profile
Pivot Length – swing sensitivity (larger = fewer, broader segments)
Max Profiles – how many historical segments to retain
Profile Width – thickness of each historical profile
High & Low Value Area
Profile VA/LV – extend the last segment’s top-bin and low-bin zones forward
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
RSI Divergence (No pivots, delta + cooldown)RSI Divergence (No Pivots, Delta + Cooldown)
This indicator detects classic RSI divergence without using pivots/fractals and without looking into future bars. It is designed to behave closer to “human eyeballing” by comparing current extremes to the last N bars, and it triggers signals only on bar close (non-repainting after the candle closes).
Logic
Bearish divergence: Price makes a new lookback high (relative to the previous lookback bars), while RSI does not make a new high.
A signal is printed only if RSI is at least Δ RSI points below the previous RSI high over the same lookback window.
Bullish divergence: Price makes a new lookback low (relative to the previous lookback bars), while RSI does not make a new low.
A signal is printed only if RSI is at least Δ RSI points above the previous RSI low over the same lookback window.
Inputs
RSI Length: RSI period.
Lookback (bars): Number of past bars used to define “new high/low” for both price and RSI.
Use High/Low (else Close): Choose whether price extremes are based on High/Low or Close.
RSI delta (points): Minimum RSI gap required to confirm the divergence (reduces weak/noisy signals).
Cooldown after signal (bars): After any signal, the indicator suppresses new signals for the next X bars to reduce alert/label spam.
Alerts
The script includes two alert conditions:
Bearish divergence (delta + cooldown)
Bullish divergence (delta + cooldown)
Recommended alert setting: Once per bar close.
WoAlgo Premium v3.0
WoAlgo Premium v3.0 - Smart Money Analysis
Overview
** WoAlgo Premium v3.0 ** is an advanced technical analysis indicator designed for educational purposes. This tool combines Smart Money Concepts with multi-factor confluence analysis to help traders identify potential market opportunities across multiple timeframes.
The indicator integrates market structure analysis, order flow concepts, and technical momentum indicators into a comprehensive dashboard system. It is designed to assist traders in understanding institutional trading patterns and market dynamics through visual analysis tools.
### What It Does
This indicator provides:
**1. Smart Money Concepts Analysis**
- Market structure identification (Break of Structure and Change of Character patterns)
- Order block detection with volume confirmation
- Fair value gap recognition
- Liquidity zone mapping (equal highs and lows)
- Premium and discount zone calculations
**2. Multi-Factor Confluence Scoring**
The indicator calculates a proprietary confluence score (0-100) based on five key components:
- Price action analysis (30% weight)
- Volume confirmation (20% weight)
- Momentum indicators (25% weight)
- Trend strength measurement (15% weight)
- Money flow analysis (10% weight)
**3. Multi-Timeframe Analysis**
- Scans 5 different timeframes (5M, 15M, 1H, 4H, Daily)
- Calculates alignment percentage across timeframes
- Displays trend and structure status for each period
**4. Visual Dashboard System**
- Comprehensive main dashboard with 13 metrics
- Real-time screener table with 10 data columns
- Multi-timeframe scanner
- Performance tracking panel
### How It Works
**Market Structure Detection**
The indicator identifies key structural changes in price action:
- **BOS (Break of Structure)**: Indicates trend continuation when price breaks previous swing points
- **CHoCH (Change of Character)**: Signals potential trend reversal when market structure shifts
**Order Block Identification**
Order blocks are detected when:
- Significant volume appears at swing points
- Price shows strong directional movement from these levels
- Enhanced detection with extreme volume confirmation (OB++ markers)
**Fair Value Gap Recognition**
Gaps between candles are identified when:
- Price leaves inefficiencies in the market
- Three consecutive candles create a gap pattern
- Gap size exceeds minimum threshold based on ATR
**Confluence Calculation**
The system evaluates multiple technical factors:
1. **Price Position**: Relative to moving averages (EMA 20, 50, 200)
2. **Volume Analysis**: Standard deviation-based volume spikes
3. **Momentum**: RSI, MACD, Stochastic indicators
4. **Trend Strength**: ADX measurements
5. **Money Flow**: MFI indicator readings
Each factor contributes weighted points to create an overall confluence score that helps assess signal strength.
### Signal Types
**Confirmation Signals (▲ / ▼)**
Generated when:
- EMA crossovers occur (20/50 cross)
- Volume confirmation is present
- RSI is in appropriate zone
- Confluence score exceeds 50%
**Strong Signals (▲+ / ▼+)**
Higher-confidence signals requiring:
- Confluence score above 70%
- Extreme volume confirmation
- Alignment with 200 EMA trend
- MACD confirmation
- Bullish or bearish market structure
**Contrarian Signals (⚡)**
Reversal indicators appearing when:
- RSI reaches extreme levels (<30 or >70)
- Stochastic shows oversold/overbought conditions
- Price touches Bollinger Band extremes
- Potential divergence patterns emerge
**Reversal Zones**
Visual boxes highlighting areas where:
- Market structure conflicts with momentum
- High probability of directional change
- Key support/resistance levels interact
**Smart Trail**
Dynamic stop-loss indicator that:
- Adjusts based on ATR (Average True Range)
- Follows trend direction
- Updates automatically as price moves
- Provides risk management reference points
### Dashboard Components
**Main Dashboard (13 Metrics)**
1. **Confluence Score**: Current bull/bear percentage (0-100)
2. **Market Regime**: Trend classification (Strong Up/Down, Range, Squeeze)
3. **Signal Status**: Active buy/sell signal indication
4. **Structure State**: Current market structure (Bullish/Bearish/Neutral)
5. **Trend Strength**: ADX-based measurement
6. **RSI Level**: Momentum indicator with overbought/oversold zones
7. **MACD Direction**: Trend momentum confirmation
8. **Money Flow Index**: Smart money sentiment
9. **Volume Status**: Current volume relative to average
10. **Volatility Rating**: ATR percentage measurement
11. **ATR Value**: Average true range for position sizing
12. **MTF Alignment**: Multi-timeframe agreement percentage
**Screener Table (10 Columns)**
- Current symbol and timeframe
- Real-time price and percentage change
- Quality rating (star system)
- Active signal type
- Smart trail status
- Market structure state
- MACD direction
- Trend strength percentage
- Bollinger Band squeeze detection
**MTF Scanner (5 Timeframes)**
Displays for each timeframe:
- Trend direction indicator
- Market structure classification
- Visual confirmation with color coding
**Performance Metrics**
- Win rate percentage (simplified calculation)
- Total signals generated
- Current confluence score
- MTF alignment status
- Volatility level
### Settings and Customization
**Preset Styles**
Choose from predefined configurations:
- **Conservative**: Fewer, higher-quality signals
- **Moderate**: Balanced approach (recommended)
- **Aggressive**: More frequent signals
- **Scalper**: Short-term focused
- **Swing**: Longer-term oriented
- **Custom**: Full manual control
**Smart Money Concepts Controls**
- Toggle each feature independently
- Adjust swing length (3-50 periods)
- Enable/disable internal structure
- Control order block display
- Manage breaker block visibility
- Show/hide fair value gaps
- Display liquidity zones
- Premium/discount zone visualization
**Signal Configuration**
- Enable/disable confirmation signals
- Toggle strong signal markers
- Control contrarian signal display
- Show/hide reversal zones
- Smart trail activation
- Sensitivity adjustment (5-50)
**Visual Customization**
- Moving average display options
- MA period adjustments (Fast: 20, Slow: 50, Trend: 200)
- Support/resistance line toggle
- Dynamic S/R lookback period
- Candle coloring based on trend
- Color scheme customization
- Dashboard size options (Small/Normal/Large)
- Position placement (4 corners)
### How to Use
**Step 1: Initial Setup**
1. Add indicator to chart
2. Select appropriate preset or use Custom
3. Adjust timeframe to match trading style
4. Configure dashboard visibility preferences
**Step 2: Analysis Workflow**
1. Check MTF Scanner for timeframe alignment
2. Review Main Dashboard confluence score
3. Observe Market Regime classification
4. Identify active signals on chart
5. Confirm with Smart Money Concepts (order blocks, FVG, structure)
**Step 3: Trade Consideration**
Strong signals (▲+ / ▼+) require:
- Confluence score >70%
- MTF alignment >60%
- Confirmation from multiple dashboard metrics
- Support from Smart Money Concepts
- Appropriate volume levels
**Step 4: Risk Management**
- Use Smart Trail as dynamic stop-loss reference
- Consider ATR for position sizing
- Monitor volatility rating
- Respect support/resistance levels
- Combine with personal risk parameters
### Best Practices
**For Scalping (1M-5M timeframes)**
- Use Scalper preset
- Reduce swing length to 5-7
- Focus on strong signals only
- Monitor MTF alignment closely
- Quick entries near order blocks
**For Intraday Trading (15M-1H timeframes)**
- Use Moderate preset (recommended)
- Default swing length (10)
- Combine confirmation and strong signals
- Check MTF scanner before entry
- Use fair value gaps for entries
**For Swing Trading (4H-D timeframes)**
- Use Swing preset
- Increase swing length to 15-20
- Focus on strong signals
- Require high MTF alignment
- Patient approach with major structure levels
### Technical Specifications
**Indicators Used**
- Exponential Moving Averages (20, 50, 200)
- Hull Moving Average
- Relative Strength Index (14)
- MACD (12, 26, 9)
- Money Flow Index (14)
- Stochastic Oscillator (14, 3)
- ADX / DMI (14)
- Bollinger Bands (20, 2)
- ATR (14)
- Volume Analysis (SMA 20 with standard deviation)
**Calculation Methods**
- Swing detection using pivot high/low functions
- Volume confirmation via statistical analysis
- Multi-factor scoring with weighted components
- Dynamic support/resistance using highest/lowest functions
- Real-time MTF data via security() function
### Limitations and Considerations
**Important Notes**
1. This indicator is designed for educational and analytical purposes only
2. Historical performance does not guarantee future results
3. Signals should be confirmed with additional analysis
4. Market conditions vary and affect indicator performance
5. Not all signals will be profitable
6. Risk management is essential for all trading
**Known Limitations**
- Confluence scoring is algorithmic and not predictive
- MTF analysis requires sufficient historical data
- Effectiveness varies across different market conditions
- Sideways markets may produce conflicting signals
- High volatility can affect signal reliability
- Backtesting results shown are simplified calculations
**Not Suitable For**
- Automated trading without human oversight
- Sole basis for trading decisions
- Guaranteed profit expectations
- Inexperienced traders without proper education
- Trading without risk management plans
### Market Applicability
**Effective On**
- Trending markets (any direction)
- Clear structure formation periods
- Liquid instruments with consistent volume
- Multiple asset classes (forex, stocks, crypto, commodities)
- Various timeframes with appropriate settings
**Less Effective During**
- Extended ranging/choppy conditions
- Extremely low volume periods
- Major news events causing gaps
- Early market open with high spread
- Illiquid instruments with erratic price action
### Risk Disclaimer
**⚠️ IMPORTANT NOTICE**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial advice, investment recommendations, or trading signals.
**Key Risk Factors:**
- Trading financial instruments involves substantial risk of loss
- Past performance does not indicate future results
- No indicator can predict market movements with certainty
- Users should conduct independent research and analysis
- Professional financial advice should be sought when appropriate
- Risk management and position sizing are critical to successful trading
- Users are solely responsible for their trading decisions
**Responsible Usage:**
- Combine with comprehensive market analysis
- Use appropriate stop-loss orders
- Never risk more than you can afford to lose
- Maintain realistic expectations
- Continue education on technical analysis principles
- Test thoroughly on demo accounts before live trading
- Understand all indicator features before using
### Educational Resources
**Understanding Smart Money Concepts**
Smart Money Concepts analyze how institutional traders and large market participants operate. Key principles include:
- Institutional order flow patterns
- Market structure changes
- Liquidity manipulation
- Supply and demand imbalances
- Order block formations
**Multi-Timeframe Analysis Theory**
Analyzing multiple timeframes helps:
- Identify overall market direction
- Improve entry timing
- Confirm trend strength
- Recognize consolidation periods
- Reduce conflicting signals
**Confluence Trading Approach**
Using multiple confirming factors:
- Increases signal reliability
- Reduces false signals
- Provides conviction for trades
- Helps with position sizing
- Improves risk-reward ratios
### Version History
**v3.0 (Current)**
- Multi-factor confluence scoring system
- Complete Smart Money Concepts implementation
- Real-time multi-timeframe analysis
- Four professional dashboard panels
- Enhanced order block detection
- Breaker block identification
- Premium/discount zone calculations
- Smart trail stop-loss system
- Customizable preset configurations
- Performance tracking metrics
**Development Philosophy**
This indicator was developed with focus on:
- Educational value for traders
- Transparent methodology
- Comprehensive feature set
- User-friendly interface
- Flexible customization options
### Technical Support
**For Questions About:**
- Indicator functionality
- Parameter optimization
- Signal interpretation
- Dashboard metrics
- Best practice recommendations
Please use TradingView's comment section below. The developer monitors comments and provides assistance to users learning to use the indicator effectively.
### Acknowledgments
This indicator implements concepts from:
- Smart Money Concepts trading methodology
- Multi-timeframe analysis techniques
- Technical indicator theory
- Market structure analysis principles
- Institutional order flow concepts
All implementations are original code and calculations based on established technical analysis principles.
---
## ADDITIONAL INFORMATION SECTION
**Category**: Indicators
**Type**: Market Structure / Multi-Timeframe Analysis
**Complexity**: Intermediate to Advanced
**Open Source**: Code visible for transparency and education
**Pine Script Version**: v6
**Chart Overlay**: Yes
**Maximum Objects**: 500 boxes, 500 lines, 500 labels
Ultimate Gold & FX - K-NN Master V83An environment recognition tool integrated with K-NN (K-Nearest Neighbors).
The MACD, STC, and SMC settings are fully customizable. It also features Elliott Wave displays, making it a highly advanced and versatile tool.
Smart VWAP SignalsSmart VWAP Signals
Smart VWAP Signals is an advanced indicator based on the VWAP Intraday V2 strategy, optimized using Grid Search to maximize performance.
⸻
🎯 Key Features
Trading Modes
• BOTH: Combines mean reversion (Separator) and trend-following (KISS) signals
• SEPARATOR: Mean reversion signals only, when price deviates significantly from VWAP
• KISS: Trend-following signals only, aligned with VWAP direction
⸻
🚦 Intelligent Traffic Light System
• 🟢 GREEN: High Profit Factor – trade with confidence
• 🟡 YELLOW: Medium Profit Factor – trade with caution
• 🔴 RED: Low Profit Factor – avoid new entries
⸻
🛡️ Risk Management
• ATR-based Stop Loss with configurable maximum limit
• Flexible Take Profit options:
• VWAP target
• Fixed Risk/Reward ratio
• ATR multiple
• Automatic stop-day after consecutive losses
⸻
🔍 Configurable Filters
• Signal cooldown between trades
• Volatility filter (minimum ATR threshold)
• Trend filter (EMA 200)
• Volume filter
• Multi-timeframe confirmation
⸻
📊 Visualization & Analytics
• Real-time statistics panel
• VWAP with deviation bands
• Trade history with WIN / LOSS percentages
• Entry-to-exit lines
• Fully customizable colors
⸻
⚙️ Optimized Default Parameters
Optimized via Grid Search, achieving:
• ROI: 322%
• Profit Factor: 1.97
• Win Rate: 68.4%
[codapro] Tenkan Cloud Signals
Cloud in the Skys — Tenkan Altitude Signals Above the Kumo
Description:
This is not your average Ichimoku script — this is “Cloud in the Skys”, a reimagined way to interpret the Tenkan line as an airplane navigating altitude around the Kumo cloud layer.
Visual Metaphor Explained:
Tenkan = Airplane
The fast-reacting Conversion Line becomes your flight path.
Cloud (Kumo) = Noise / Airspace
The Ichimoku cloud is your visual weather system. When the plane (Tenkan) is:
Above the cloud → Clear skies, likely breakout, nothing overhead
Inside the cloud → Turbulence zone, indecision, avoid trading
Below the cloud → Descending, seeing ground only, bearish sentiment
This script helps you see trend structure like a pilot sees airspace — visually, directionally, and with awareness of turbulence zones.
What It Includes:
Tenkan (Conversion) and Kijun (Base) line calculations
Full Kumo Cloud (Senkou A & B), with customizable displacement
Buy/Sell Flags based on Kijun crossing the forward-displaced Span B
Only plotted after a user-defined number of confirming closes
Full visual controls: cloud fill, line colors, flag display toggle
How to Use It:
Long Bias: When Tenkan rises above the cloud and Buy flag confirms — sky’s clear
Short Bias: When Tenkan descends and Sell flag confirms — plane is losing lift
Stay Out: If Tenkan is inside the cloud, wait — this is chop/noise
Pair this script with price action or volume confirmation for better clarity. Especially effective in trend-following or breakout strategies on mid-to-longer timeframes.
Disclaimer:
This tool was created using the CodaPro Pine Script indicator design system — a modular architecture for building visual signal overlays and automated alerts.
It is provided for educational and informational purposes only and is not financial advice. Always test thoroughly before using in live market conditions.






















