FU + SMI Validator (Proper FU, 30m)Overview
The FU + SMI Validator is a sophisticated technical analysis indicator designed to detect Proper FU (Fakeouts or Liquidity Sweeps) on the 30-minute timeframe. This tool aims to help traders identify high-probability reversal setups that occur when price briefly breaks key levels (sweeping liquidity), then reverses with momentum confirmation.
Fakeouts are common market events where price action “hunts stops” before reversing direction. Correctly identifying these events can offer excellent entry points with defined risk. This indicator combines price action logic with momentum and volatility filters to provide reliable signals.
Core Concepts
Proper FU (Fakeout) Detection
At its core, the script identifies proper fakeouts by checking if the current bar’s price:
For bullish fakeouts: dips below the previous bar’s low (sweeping stops) and then closes above the previous bar’s high
For bearish fakeouts: spikes above the previous bar’s high and then closes below the previous bar’s low
This ensures that the breakout is a true sweep rather than just a one-sided close.
Optionally, the script can require one additional confirmation bar after the FU, ensuring that the momentum is sustained and reducing false signals.
SMI-style Momentum Validation
To improve the quality of signals, the indicator uses a proxy for the Stochastic Momentum Index (SMI) by calculating the difference between current and past linear regression slopes of price. This momentum check helps ensure that fakeouts occur alongside actual directional strength.
Key points:
Momentum must be increasing in the direction of the FU signal.
Momentum filters can be enabled or disabled based on user preference.
Squeeze Condition to Avoid Low-Volatility Traps
The script includes a volatility filter based on a squeeze-like condition:
It compares Bollinger Bands (BB) and Keltner Channels (KC).
When BB bands contract inside KC bands, the market is in a squeeze state, signaling low volatility.
Fakeouts during squeeze conditions are often unreliable; the script can filter these out to reduce false alarms.
Killzone Session Timing Filter
Recognizing that liquidity and volatility vary by session, this tool supports optional filtering for:
London Killzone: 09:00 to 10:30 (UK time)
New York Killzone: 13:00 to 14:30 (UK time)
Signals only trigger during these high-activity windows if enabled, helping traders focus on periods with the best liquidity and market participation.
Note: For Killzone filtering to work accurately, your TradingView chart must be set to the UK timezone.
Features & Benefits
Robust FU detection ensures the breakout price action is meaningful, reducing noise.
Momentum filter via linear regression slope captures trend strength in a smooth, mathematically sound way.
Low-volatility squeeze avoidance helps reduce false signals in choppy or range-bound markets.
Killzone timing filter focuses your attention on the most liquid and active market hours.
Optional confirmation bar increases signal reliability.
Raw FU markers allow visualization of all detected fakeouts for pattern recognition and manual analysis.
Alerts built-in for both valid buy and sell FU setups, enabling real-time notification and quicker decision-making.
Customization Options
Killzone usage: Enable or disable the session timing filter.
Sessions: Configure London and New York killzone time ranges.
Momentum alignment: Enable or disable momentum filter based on SMI proxy.
Volatility filter: Avoid signals during squeeze or low-volatility conditions.
FU confirmation: Option to require one additional confirming candle after the initial FU.
Squeeze and momentum parameters: Adjust Bollinger Bands length and multiplier, Keltner Channel length and ATR multiplier.
Raw FU markers: Show or hide all detected fakeouts regardless of filters.
How to Use This Indicator
Apply to 30-minute charts for forex pairs, indices, cryptocurrencies, or other instruments.
Set your chart timezone to UK time if using Killzone filters.
Adjust input parameters based on your preferred sessions and risk tolerance.
Look for green “VALID BUY FU” labels below bars for bullish fakeout entries.
Look for red “VALID SELL FU” labels above bars for bearish fakeout entries.
Use the alert system to receive notifications on setups.
Combine with your existing analysis or risk management strategy for entries, stops, and profit targets.
Why Use FU + SMI Validator?
Fakeouts are some of the most lucrative but tricky setups for many traders. Without proper filters, they can lead to false entries and losses. This script integrates price action, momentum, volatility, and session timing into one package, providing a robust tool to spot high-quality fakeout opportunities and improve trading confidence.
Limitations
Requires chart to be set to UK timezone for session filters.
Designed specifically for 30-minute timeframe — performance on other timeframes may vary.
Momentum is a proxy, not a direct SMI calculation.
Like all indicators, best used in conjunction with sound risk management and other analysis tools.
Potential Enhancements
Conversion into a full strategy script for backtesting entries and exits.
Addition of other momentum indicators (RSI, MACD) or volume filters.
Customizable time zones or auto time zone detection.
Multi-timeframe analysis capabilities.
Visual dashboard for summary of signal stats.
Breadth Indicators
Buy Signal 50-200 EMA & RSI25 (Alert)Buy signal generate when all given condition achieved Risk to reward ratio is 1:2 minimum
Salim ALHammadi-Telegram @salimalhammadiAuto Trading its show entry price and tp price and sl i hope every one like it
King Amun1One of the strongest indicators for trading gold, and you should combine it with King Amun 1.
King Amun 3King Amun 3
One of the strongest indicators for trading gold, and you should combine it with King Amun 1.
Nirvana True Duel전략 이름
열반의 진검승부 (영문: Nirvana True Duel)
컨셉과 철학
“열반의 진검승부”는 시장 소음은 무시하고, 확실할 때만 진입하는 전략입니다.
EMA 리본으로 추세 방향을 확인하고, 볼린저 밴드 수축/확장으로 변동성 돌파를 포착하며, OBV로 거래량 확인을 통해 가짜 돌파를 필터링합니다.
전략 로직
매수 조건 (롱)
20EMA > 50EMA (상승 추세)
밴드폭 수축 후 확장 시작
종가가 상단 밴드 돌파
OBV 상승 흐름 유지
매도 조건 (숏)
20EMA < 50EMA (하락 추세)
밴드폭 수축 후 확장 시작
종가가 하단 밴드 이탈
OBV 하락 흐름 유지
진입·청산
손절: ATR × 1.5 배수
익절: 손절폭의 1.5~2배에서 부분 청산
시간 청산: 설정한 최대 보유 봉수 초과 시 강제 청산
장점
✅ 추세·변동성·거래량 3중 필터 → 노이즈 최소화
✅ 백테스트·알람 지원 → 기계적 매매 가능
✅ 5분/15분 차트에 적합 → 단타/스윙 트레이딩 활용 가능
주의점
⚠ 횡보장에서는 신호가 적거나 실패 가능
⚠ 수수료·슬리피지 고려 필요
📜 Nirvana True Duel — Strategy Description (English)
Name:
Nirvana True Duel (a.k.a. Nirvana Cross)
Concept & Philosophy
The “Nirvana True Duel” strategy focuses on trading only meaningful breakouts and avoiding unnecessary noise.
Nirvana: A calm, patient state — waiting for the right opportunity without emotional trading.
True Duel: When the signal appears, enter decisively and let the market reveal the outcome.
In short: “Ignore market noise, trade only high-probability breakouts.”
🧩 Strategy Components
Trend Filter (EMA Ribbon): Stay aligned with the main market trend.
Volatility Squeeze (Bollinger Band): Detect volatility contraction & expansion to catch explosive moves early.
Volume Confirmation (OBV): Filter out false breakouts by confirming with volume flow.
⚔️ Entry & Exit Conditions
Long Setup:
20 EMA > 50 EMA (uptrend)
BB width breaks out from recent squeeze
Close > Upper Bollinger Band
OBV shows positive flow
Short Setup:
20 EMA < 50 EMA (downtrend)
BB width breaks out from recent squeeze
Close < Lower Bollinger Band
OBV shows negative flow
Risk Management:
Stop Loss: ATR × 1.5 below/above entry
Take Profit: 1.5–2× stop distance, partial take-profit allowed
Time Stop: Automatically closes after max bars held (e.g. 8h on 5m chart)
✅ Strengths
Triple Filtering: Trend + Volatility + Volume → fewer false signals
Mechanical & Backtestable: Ideal for objective trading & performance validation
Adaptable: Works well on Bitcoin, Nasdaq futures, and other high-volatility markets (5m/15m)
⚠️ Things to Note
Low signal frequency or higher failure rate in sideways/range markets
Commission & slippage should be factored in, especially on lower timeframes
ATR multiplier and R:R ratio should be optimized per asset
Ultimate Sniper Entry - Pivot PerfectionT2R📌 Description
The Ultimate Sniper Entry – Pivot Perfection is a precision trading tool designed to identify high-probability pivot points and generate early buy/sell entries with strong confirmation. By combining pivot detection, volume spikes, momentum filters (RSI), candle patterns, and EMA trend alignment, this system helps traders capture market reversals and trend continuation setups with improved accuracy.
It offers:
Smart Pivot Detection with adjustable sensitivity.
Multi-layer Confirmation: volume, momentum, candle structure, and EMA trend filter.
Non-Repainting Signals: arrows plotted only after pivot confirmation.
Visual Aids: buy/sell arrows, optional pivot markers, background trend shading.
Alerts: instant notifications for sniper buy/sell entries.
Info Panel: quick reference guide directly on chart.
Ideal for traders who want structured, rules-based entries while avoiding false signals, the Ultimate Sniper Entry system adapts to multiple markets and timeframes.
IaoriginalTrend following (CTA/Clenow): requires EMA50 > EMA200 (or < for shorts) and a Donchian breakout (50); ideally with a confirmation breakout (100).
Kleinman MA channel: price breaking above/below the channel bands adds points.
Squeeze / momentum (TTM-like): when the Bollinger Bands “release” from the Keltner Channels and momentum flips through zero, it adds points.
Signal logic: when the total points ≥ the threshold and the trend filter is met, the script draws arrows (LONG/SHORT) and triggers alerts.
Risk: shows an ATR stop line in the relevant direction when the signal fires (visual aid only, not an order).
High/Low Targets - Abu Aydسكربت
//@version=5
indicator("High/Low Targets - Abu Ayd", overlay = true, max_lines_count = 200, ع")
widthLow = input.int(2, "سماكة خط القاع", minval=1, maxval=5)
colorHigh = input.color(color.purple, "لون خط القمة")
widthHigh = input.int(2, "سماكة خط القمة", minval=1, maxval=5)
colorUp = input.color(color.green, "لون أهداف الصعود")
widthUp = input.int(1, "سماكة أهداف الصعود", minval=1, maxval=5)
colorDown = input.color(color.red, "لون أهداف الهبوط")
widthDown = input.int(1, "سماكة أهداف الهبوط", minval=1, maxval=5)
//========= مكان كتابة الأهداف =========//
labelPosition = input.string("يمين", "مكان كتابة الأهداف", options= )
offsetBars = input.int(5, "المسافة أفقياً للكتابة", minval=1, maxval=50)
//========= عدد الأهداف =========//
targetsUpNum = input.int(5, "عدد أهداف الصعود", minval=1, maxval=20)
targetsDownNum = input.int(5, "عدد أهداف الهبوط", minval=1, maxval=20)
//========= حساب القاع والقمة =========//
srcLow = request.security(syminfo.tickerid, tf == "" ? timeframe.period : tf, ta.lowest(low, lookback))
srcHigh = request.security(syminfo.tickerid, tf == "" ? timeframe.period : tf, ta.highest(high, lookback))
// قاع أمس
yLow = request.security(syminfo.tickerid, "D", low )
yHigh = request.security(syminfo.tickerid, "D", high )
yOpen = request.security(syminfo.tickerid, "D", open )
yClose = request.security(syminfo.tickerid, "D", close )
yBodyLow = math.min(yOpen, yClose)
yLowerWick = yBodyLow - yLow
yRange = yHigh - yLow
isValidYesterdayLow = yLowerWick > yRange * wickRatio
// اختيار القاع
lowPoint =
mode == "Manual" ? manualLow :
(mode == "Auto" and useYesterdayLow and isValidYesterdayLow) ? yLow :
srcLow
// اختيار القمة
highPoint = mode == "Auto" ? srcHigh : manualHigh
//========= دالة لحساب مكان الليبل =========//
f_getXoffset(_pos) =>
_pos == "يمين" ? bar_index + offsetBars : _pos == "يسار" ? bar_index - offsetBars : bar_index
//========= أهداف القاع =========//
if mode == "Manual" or (mode == "Auto" and showLowAuto and not na(lowPoint))
// أهداف فوق القاع
for i = 1 to targetsUpNum
levelUp = lowPoint + stepUp * i
line.new(bar_index, levelUp, bar_index+1, levelUp, color=colorUp, width=widthUp, extend=extend.right)
if barstate.islast
label.new(f_getXoffset(labelPosition), levelUp, "🎯 " + str.tostring(levelUp),
textcolor=color.white, color=colorUp, style=label.style_label_left,
xloc=xloc.bar_index, yloc=yloc.price)
// أهداف تحت القاع إذا اخترنا "فوق وتحت"
if lowTargetsMode == "فوق وتحت"
for i = 1 to targetsDownNum
levelDownFromLow = lowPoint - stepDown * i
line.new(bar_index, levelDownFromLow, bar_index+1, levelDownFromLow, color=colorDown, width=widthDown, extend=extend.right)
if barstate.islast
label.new(f_getXoffset(labelPosition), levelDownFromLow, "🎯 " + str.tostring(levelDownFromLow),
textcolor=color.white, color=colorDown, style=label.style_label_left,
xloc=xloc.bar_index, yloc=yloc.price)
//========= أهداف القمة =========//
if mode == "Manual" or (mode == "Auto" and showHighAuto)
Sessions Highs/LowsThis indicator plots the High and Low of the three main trading sessions:
Asia (20:00–03:00) – green lines
London (03:00–08:00) – blue lines
New York (08:00–13:00) – red lines
Features:
Levels update in real time during each session.
When a new session starts, the previous lines are deleted – only the latest active sessions remain visible.
Default session times are set to Asia (20:00–03:00), London (03:00–08:00), and New York (08:00–13:00), but you can adjust them to your own custom hours in the settings.
Colors can also be customized.
Use cases:
Quickly visualize session ranges.
Track session highs/lows for breakouts, fakeouts, and reactions around liquidity zones.
Fixed Asset TurnoverFixed Asset Turnover (FAT) measures how efficiently a company uses its fixed assets (Property, Plant & Equipment – PPE) to generate revenue. It shows how many times the company “turns over” its fixed assets in a period relative to revenue.
High FAT: Assets are used efficiently; the company generates more revenue per unit of fixed assets.
Low FAT: Fixed assets are underutilized; the company may have invested too much in assets that don’t produce sufficient revenue.
Formula:
Fixed Asset Turnover=Total Revenue/Average Net Fixed Assets
What it tells you:
Indicates asset efficiency in generating sales.
Useful to compare companies within the same industry (because asset intensity varies by sector).
Helps identify whether a company is over-invested in fixed assets or underutilizing them.
How to use it:
Trend Analysis:
Track FAT over time for the same company to see if asset utilization is improving.
Benchmarking:
Compare FAT against competitors or industry averages.
Investment Decisions:
Higher FAT usually suggests more efficient operations, but context matters (e.g., heavy-capital industries naturally have lower FAT).
Black DragonUse the RSI bands; when the price touches the upper band, it tends to go down, and when the price touches the lower band, it tends to go up. Pay attention to enter a trade only when a reversal candle appears; suitable for scalping on the M15 timeframe.
Probability Density Function (rus)KZ Indicator (Probability Density Function)
KZ estimates price move probabilities using a normal distribution model. It automatically detects trend direction, volatility level, and strength, then visualizes the likelihood of reaching an upside or downside target.
✅ Auto-adjusts for different timeframes
✅ Plots green (long) and red (short) probability zones
✅ Shows suggested target, stop-loss, and limit order
✅ Ideal for identifying high-probability entry zones
Advanced Version Available
An advanced version of the KZ script is available with:
🎯 Precise entry/exit signals
🕵️ Liquidity zone detection
🔄 Multi-timeframe signal confirmation
🛑 Dynamic stop-loss based on volatility
🔔 Built-in alerts for signal triggers
📩 DM me to get access to the advanced script version.
✅ Автоматически адаптируется под таймфрейм
✅ Показывает зелёную (лонг) и красную (шорт) области вероятности
✅ Отображает рекомендуемые цель, стоп-лосс и лимитный ордер
✅ Отлично подходит для поиска точек входа с высокой вероятностью
Доступна продвинутая версия скрипта KZ, включающая:
🎯 Точные сигналы входа/выхода
🕵️ Обнаружение зон ликвидности
🔄 Подтверждение сигналов с других таймфреймов
🛑 Динамический стоп-лосс на основе волатильности
🔔 Алерты на сигналы
EMA+RSI Buy/Sell with Fibonacci GuideSingle-Instance EUR/USD & GBP/USD Trend+MACD ATR EA
Purpose:
This EA is designed for automated Forex trading on EUR/USD and GBP/USD. It identifies trend-based trading opportunities, dynamically calculates position sizes based on your available capital and risk percentage, and manages trades with ATR-based stop-loss and take-profit levels, including optional trailing stops.
Key Features:
Auto Pair Selection:
Compares the trend strength of EUR/USD vs GBP/USD using a combination of EMA slopes and MACD direction.
Automatically trades the stronger trending pair.
Trend & Signal Detection:
Uses Fast EMA / Slow EMA crossover for trend direction.
Confirms trend with MACD line vs signal line.
Generates long and short signals only when trend and MACD align.
Dynamic SL/TP:
Stop-loss and take-profit are calculated based on ATR (Average True Range).
Supports optional trailing stops to lock in profits.
Position Sizing:
Automatically calculates micro-lot sizes based on your capital and risk percentage.
Ensures risk per trade does not exceed the defined % of your account equity.
Chart Visualization:
Plots Fast EMA / Slow EMA.
Displays SL and TP levels on the chart.
Shows a label indicating the active pair currently being traded.
Alerts:
Generates alerts for long and short signals.
Can be used with TradingView alerts to notify or trigger webhooks.
Single Strategy Instance:
Fully compatible with Pine Script v6.
Only one strategy instance runs on the chart to prevent “too many strategies” errors.
Weighted Sector ADD (sign-weighted)What it is
A true, cap-weighted advances/declines (ADD) proxy for the S&P 500 using sector ETFs. Each sector contributes +1 if it’s up on the bar, −1 if it’s down, 0 if flat. Those signals are then weighted by your sector weights (auto-normalized to 100%) and summed into a single breadth line. The result is a fast, low-noise read of how much of the S&P (by sector weight) is advancing vs. declining right now.
- Tracks participation, not price magnitude—perfect for spotting “broad vs. narrow” moves
- Heavily weighted sectors (e.g., Tech) matter proportionally more, reflecting real index impact
- Simple scale: ~−1 to +1 (all weight down → all weight up)
Chart Elements
- Green/Red Columns – “Weighted ADD”: Current bar’s weighted breadth (sign-based by default)
- Blue Line – “Weighted MA”: SMA of the weighted ADD (regime filter)
- Zero/Guide Lines (optional): 0.0, ±0.2 (mild), ±0.6 (strong)
- Labels (optional): Text markers at those guide levels
- Advancing Weight % (optional): Label showing ((ADD+1)/2)*100 → share of total sector weight advancing
How to Read (Quick Guide)
- +0.60 to +1.00 → Broad, one-sided risk-on (most sector weight advancing)
- +0.20 to +0.60 → Moderate, supportive breadth
- −0.20 to +0.20 → Mixed/choppy; rotation
- −0.60 to −1.00 → Broad, one-sided risk-off
- MA above/below zero → Simple regime indicator; zero-crosses could be potential alert triggers
- Divergence: Strong price move with a weak/flat ADD could potentially warn of narrow participation
Inputs & settings
Calculation
- Use returns instead of up/down sign?
OFF (default): true weighted participation (+1/−1/0)
ON: weighted sector returns (winsor-capped). Use if you want magnitude, not just direction
- Winsor cap (returns mode): Caps per-sector contribution in returns mode (e.g., 0.02 = ±2%)
- Smoothing MA length: SMA period for the blue “Weighted MA” line
- Source timeframe: Compute signals on another TF (e.g., “60”) but plot on your chart TF
Visibility
- Show Weighted ADD (bars): Toggle the green/red columns
- Show Weighted ADD MA: Toggle the blue SMA line
- Show Zero Line (0): Toggle the 0.0 reference line
- Show ±0.2 / ±0.6 guide lines: Toggle the helper levels
- Show guide labels: Draw small text labels at 0, ±0.2, ±0.6
- Guide label offset (bars left): Move labels left if they overlap the right edge values
- Show Advancing Weight % label: Toggle the % of sector weight currently advancing
Sector Symbols (ETF proxies)
- XLK, XLY, XLF, XLV, XLC, XLI, XLP, XLE, XLB, XLU, XLRE: Defaults to the SPDR sector ETFs. You can swap for alternative proxies if desired.
Sector Weights (auto-normalize)
- Weight inputs for each sector (e.g., Tech 0.30, Financials 0.13…). These auto-normalize to 1.0 so you can paste rough numbers; the script scales them.
- Keep weights fresh. GICS sector weights drift; update periodically (e.g., quarterly).
Alerts included
- “Weighted ADD crossed above 0”
- “Weighted ADD crossed below 0”
Version
v1.0 – Initial release (weighted sign-based ADD + SMA, zero/guide lines & labels, Adv % label, alerts).
sarbesh tiwari- Separate ATRprice action. itv shows good result. donate if make profit.contact at mitthu497@gmail.com
CCI Stochastic - YOSI
CCI Stochastic (Pro v6) – MTF, Adaptive Bands & Live Label
What it does
This indicator applies a Stochastic calculation on the CCI (K/D lines) to highlight momentum shifts, overbought/oversold zones, and adaptive market regimes. It comes with optional higher-timeframe confirmation, adaptive volatility bands, a live value label, and built-in alerts.
Key Features
Core Signal: Choose between D or K line of the Stoch-CCI.
Extreme Zones: Customizable OB/OS thresholds (default 80/20) and a midline (50), with dynamic background shading.
Adaptive Bands (optional): Mean ± k·standard deviation of the signal, to capture cyclic extremes.
MTF Confirmation (optional): Fetches the same signal from a higher timeframe via request.security.
Arrows/Signals:
Enter – Cross above OS (Buy) / below OB (Sell).
Center – Cross of the 50 midline (momentum shift).
Exit – Exit from extreme zones.
Alerts: All arrow signals + adaptive band crosses.
Live Value Label: Shows the latest signal value near the last bar, customizable decimals/offset/background colors.
Visuals: Red line above OB, green below OS, gray neutral; adaptive band fills.
Use Cases
Momentum / Reversals: Enter with OS/OB crosses confirmed by MTF.
Trend validation: Combine with moving averages (e.g., EMA200) or support/resistance.
Mean Reversion: Fade extreme zones, especially with adaptive band or OB/OS exit alerts.
Inputs
CCI Period, Stoch Period, Smooth K/D – core calculation.
Overbought / Oversold – thresholds (default 80/20).
Line to plot – K or D.
Show Arrows (Enter, Center, Exit) – visual control.
Adaptive Bands – length and k multiplier.
Higher TF – optional confirmation timeframe.
Live Label – decimals, offset, colors.
Quick Tips
For scalping/short-term setups: tighten OB/OS (e.g., 85/15) to filter noise.
In high volatility: increase adaptLen or decrease k to smooth bands.
Reduce false signals: require local + MTF alignment (e.g., only long if MTF > 50).
Disclaimer
This is a technical analysis tool – not a standalone buy/sell signal. Always use with proper risk management, key levels, and confluence from multiple factors.
מה זה עושה?
האינדיקטור מחשב Stochastic על CCI (קו K/D) ומציג אזורי קיצון, חציות ומשטרי שוק. הוא כולל אופציה לאישור מטיימפריים גבוה, בנדים אדפטיביים, תווית ערך חיה והתרעות מוכנות.
יכולות עיקריות
סיגנל מרכזי: בחירה בין קו D או K של Stoch-CCI.
אזורי קיצון: קווים ניתנים להגדרה (ברירת מחדל 80/20) וקו אמצע 50, עם צביעת רקע דינמית כשנכנסים לקיצון.
Adaptive Bands (אופציונלי): ממוצע ± k·סטיית תקן של הסיגנל—מסייע לזהות overheat ומחזוריות.
אישור MTF (אופציונלי): אותו סיגנל מטיימפריים גבוה באמצעות request.security.
חיצים/סיגנלים:
Enter – חציה מלמטה מעל OS (קנייה) / מלמעלה מתחת OB (מכירה).
Center – חציה של 50 (שינוי מומנטום).
Exit – יציאה מאזורים קיצוניים (OS/OB).
Alerts: לכל הסיגנלים לעיל + כניסה/יציאה לבנדים האדפטיביים.
תווית ערך חיה: מציגה את ערך הסיגנל האחרון ליד הנקודה (ספרות ו־offset ניתנים להגדרה).
עיצוב קריא: צבע קו אדום מעל OB, ירוק מתחת OS, אפור ניטרלי; מילוי אזורים.
שימוש מומלץ
מומנטום/היפוכים: כניסה עם חציה מה-OS/OB ואישור מה-MTF.
ממוצע נע/רמות מחיר: חברו לאימות מגמה (למשל EMA200 או תמיכה/התנגדות).
Mean Reversion: חיפוש חזרה מאזורי קיצון, במיוחד כשיש התרעת יציאה מ-OB/OS או נגיעה בבנד אדפטיבי.
קלטים מרכזיים
CCI Period, Stoch Period, Smooth K/D – פרמטרי חישוב.
Overbought / Oversold – ספי קיצון (ברירת מחדל 80/20).
Line to plot – בחירה בין K או D.
Show Arrows/Center/Exit/Enter – שליטה בתצוגת החיצים.
Adaptive Bands (len, k) – חלון ורגישות לבנדים.
Higher TF – טיימפריים לאישור (אופציונלי).
Live Label – ספרות, היסט ברים, צבעי רקע.
טיפים מהירים
בסקלפים/טווחים קצרים: הקשיחו ספי קיצון (למשל 85/15) להפחתת רעש.
בשוק תנודתי: העלו את adaptLen או הורידו את k כדי לקבל בנדים רגישים פחות.
להקטנת אותות שווא: דרשו התאמה בין הסיגנל המקומי ל-MTF (לדוגמה, לונג רק כשה-MTF מעל 50).
הערה חשובה
זהו כלי ניתוח טכני—לא אות קנייה/מכירה בפני עצמו. שלבו אותו עם ניהול סיכונים (SL/TP), בדיקת רמות מפתח ואימות ממספר אינדיקטורים או טיימפריימים.
Breakout + VWAP + Bollinger Bands BackgroundIt detects buy and sell bias for the trader to understand buy and sell openning. Try it...
Multi-Exchange VWAP Aggregator (Crypto)Description:
This advanced VWAP indicator aggregates volume data from up to 9 cryptocurrency exchanges simultaneously, providing a more accurate volume-weighted average price than single-exchange VWAP calculations.
Key Features:
Multi-Exchange Aggregation - Combines volume from Binance, Coinbase, Bybit, Bitfinex, Bitstamp, Deribit, OKEx, Phemex, and FTX
Flexible Currency Pairs - Supports both spot (USD, USDT, EUR, USDC, BUSD, DAI) and perpetual futures contracts
Standard Deviation Bands - Includes customizable 1σ, 2σ, and 3σ bands for identifying overbought/oversold levels
Multiple Reset Periods - Daily, Weekly, Monthly, or Session-based VWAP calculations
Volume Calculation Options - Choose between SUM, AVG, MEDIAN, or VARIANCE for volume aggregation
Why Use This?
Traditional VWAP indicators only use volume from a single exchange, which can be misleading in fragmented crypto markets. This indicator provides a comprehensive market-wide VWAP by aggregating volume across major exchanges, giving you a more reliable benchmark for entries, exits, and institutional price levels.
Perfect for traders who want to see where the real volume-weighted price sits across the entire crypto market, not just one exchange.
Peshraw strategy 1//@version=5
indicator("Peshraw strategy 1", overlay=false)
// --- Stochastic Settings
kPeriod = 100
dPeriod = 3
slowing = 3
k = ta.sma(ta.stoch(close, high, low, kPeriod), slowing)
d = ta.sma(k, dPeriod)
// --- Moving Average on Stochastic %K
maLength = 2
maOnK = ta.sma(k, maLength)
// --- Plot Stochastic
plot(k, color=color.blue, title="%K")
plot(d, color=color.orange, title="%D")
// --- Plot MA(2) on %K
plot(maOnK, color=color.red, title="MA(2) on %K")
// --- Levels (fix hline error)
hline(9, "Level 9", color=color.gray, linestyle=hline.style_dotted)
hline(18, "Level 18", color=color.gray, linestyle=hline.style_dotted)
hline(27, "Level 27", color=color.gray, linestyle=hline.style_dotted)
hline(36, "Level 36", color=color.gray, linestyle=hline.style_dotted)
hline(45, "Level 45", color=color.gray, linestyle=hline.style_dotted)
hline(54, "Level 54", color=color.gray, linestyle=hline.style_dotted)
hline(63, "Level 63", color=color.gray, linestyle=hline.style_dotted)
hline(72, "Level 72", color=color.gray, linestyle=hline.style_dotted)
hline(81, "Level 81", color=color.gray, linestyle=hline.style_dotted)
hline(91, "Level 91", color=color.gray, linestyle=hline.style_dotted)