Two Poles Trend Finder MTF [BigBeluga]🔵 OVERVIEW
Two Poles Trend Finder MTF is a refined trend-following overlay that blends a two-pole Gaussian filter with a multi-timeframe dashboard. It provides a smooth view of price dynamics along with a clear summary of trend directions across multiple timeframes—perfect for traders seeking alignment between short and long-term momentum.
🔵 CONCEPTS
Two-Pole Filter: A smoothing algorithm that responds faster than traditional moving averages but avoids the noise of short-term fluctuations.
var float f = na
var float f_prev1 = na
var float f_prev2 = na
// Apply two-pole Gaussian filter
if bar_index >= 2
f := math.pow(alpha, 2) * source + 2 * (1 - alpha) * f_prev1 - math.pow(1 - alpha, 2) * f_prev2
else
f := source // Warm-up for first bars
// Shift state
f_prev2 := f_prev1
f_prev1 := f
Trend Detection Logic: Trend direction is determined by comparing the current filtered value with its value n bars ago (shifted comparison).
MTF Alignment Dashboard: Trends from 5 configurable timeframes are monitored and visualized as colored boxes:
• Green = Uptrend
• Magenta = Downtrend
Summary Arrow: An average trend score from all timeframes is used to plot an overall arrow next to the asset name.
🔵 FEATURES
Two-Pole Gaussian Filter offers ultra-smooth trend curves while maintaining responsiveness.
Multi-Timeframe Trend Detection:
• Default: 1H, 2H, 4H, 12H, 1D (fully customizable)
• Each timeframe is assessed independently using the same trend logic.
Visual Trend Dashboard positioned at the bottom-right of the chart with color-coded trend blocks.
Dynamic Summary Arrow shows overall market bias (🢁 / 🢃) based on majority of uptrends/downtrends.
Bold + wide trail plot for the filter value with gradient coloring based on directional bias.
🔵 HOW TO USE
Use the multi-timeframe dashboard to identify aligned trends across your preferred trading horizons.
Confirm trend strength or weakness by observing filter slope direction .
Look for dashboard consensus (e.g., 4 or more timeframes green] ) as confirmation for breakout, continuation, or trend reentry strategies.
Combine with volume or price structure to enhance entry timing.
🔵 CONCLUSION
Two Poles Trend Finder MTF delivers a clean and intuitive trend-following solution with built-in multi-timeframe awareness. Whether you’re trading intra-day or positioning for swing setups, this tool helps filter out market noise and keeps you focused on directional consensus.
Medie mobili
[TH] กลยุทธ์ SMC หลายกรอบเวลา (V5.2 - M15 Lead)English Explanation
This Pine Script code implements a multi-timeframe trading strategy based on Smart Money Concepts (SMC). It's designed to identify high-probability trading setups by aligning signals across three different timeframes.
The core logic is as follows:
High Timeframe (HTF) - M15: Determines the overall market direction or bias.
Medium Timeframe (MTF) - M5: Identifies potential Points of Interest (POI), such as Order Blocks or Fair Value Gaps, in alignment with the M15 bias.
Low Timeframe (LTF) - Current Chart: Looks for a specific entry trigger within the M5 POI to execute the trade.
Detailed Breakdown
## Part 1: Inputs & Settings
This section allows you to customize the indicator's parameters:
General Settings:
i_pivotLookback: Sets the lookback period for identifying pivot highs and lows on the LTF, which is crucial for finding the Change of Character (CHoCH).
M15 Bias Settings:
i_m15EmaFast / i_m15EmaSlow: These two EMA (Exponential Moving Average) values on the 15-minute chart determine the main trend. A bullish trend is confirmed when the fast EMA is above the slow EMA, and vice-versa for a bearish trend.
M5 Point of Interest (POI) Settings:
i_showM5Fvg / i_showM5Ob: Toggles the visibility of Fair Value Gaps (FVG) and Order Blocks (OB) on the 5-minute chart. These are the zones where the script will look for trading opportunities.
i_maxPois: Limits the number of POI zones drawn on the chart to keep it clean.
LTF Entry Settings:
i_entryMode:
Confirmation: The script waits for a Change of Character (CHoCH) on the LTF (your current chart) after the price enters an M5 POI. A CHoCH is a break of a recent pivot high (for buys) or pivot low (for sells), suggesting a potential reversal. This is the safer entry method.
Aggressive: The script triggers an entry as soon as the price touches the 50% level of the M5 POI, without waiting for a CHoCH. This is higher risk but can provide a better entry price.
i_showChoch: Toggles the visibility of the CHoCH confirmation lines.
Trade Management Settings:
i_tpRatio: Sets the Risk-to-Reward Ratio (RRR) for the Take Profit target. For example, a value of 2.0 means the Take Profit distance will be twice the Stop Loss distance.
i_slMode: (New in V5.2) Provides four different methods to calculate the Stop Loss:
POI Zone (Default): Places the SL at the outer edge of the M5 POI zone.
Last Swing: Places the SL at the most recent LTF swing high/low before the entry.
ATR: Uses the Average True Range (ATR) indicator to set a volatility-based SL.
Previous Candle: Places the SL at the high or low of the candle immediately preceding the entry. This is the tightest and riskiest option.
i_maxHistory: Sets the number of past trades to display on the chart.
## Part 2: Data Types & Variables
This section defines custom data structures (type) to organize information:
Poi: A structure to hold all information related to a single Point of Interest, including its price boundaries, direction (bullish/bearish), and whether it has been mitigated (touched by price).
Trade: A structure to store details for each trade, such as its entry price, SL, TP, result (Win/Loss/Active), and chart objects for drawing.
## Part 3: Core Logic & Calculations
This is the engine of the indicator:
Data Fetching: It uses request.security to pull EMA data from the M15 timeframe and candle data (high, low, open, close) from the M5 timeframe.
POI Identification: The script constantly scans the M5 data for FVG and OB patterns. When a valid pattern is found that aligns with the M15 bias (e.g., a bullish OB during an M15 uptrend), it's stored as a Poi and drawn on the chart.
Entry Trigger:
It checks if the price on the LTF enters a valid (unmitigated) POI zone.
Based on the selected i_entryMode, it either waits for a CHoCH or enters aggressively.
Once an entry condition is met, it calculates the SL based on the i_slMode, calculates the TP using the i_tpRatio, and creates a new Trade.
Trade Monitoring: For every active trade, the script checks on each new bar if the price has hit the SL or TP level. When it does, the trade's result is updated, and the visual boxes are finalized.
## Part 5: On-Screen Display
This part creates the Performance Dashboard table shown on the top-right of the chart. It provides a real-time summary of:
M15 Bias: Current market direction.
Total Trades: The total number of completed trades from the history.
Win Rate: The percentage of winning trades.
Total R-Multiple: The cumulative Risk-to-Reward multiple (sum of RRR from wins minus losses). A positive value indicates overall profitability.
🇹🇭 คำอธิบายและข้อแนะนำภาษาไทย
สคริปต์นี้เป็น Indicator สำหรับกลยุทธ์การเทรดแบบ Smart Money Concepts (SMC) ที่ใช้การวิเคราะห์จากหลายกรอบเวลา (Multi-Timeframe) เพื่อหาจุดเข้าเทรดที่มีความเป็นไปได้สูง
หลักการทำงานของ Indicator มีดังนี้:
Timeframe ใหญ่ (HTF) - M15: ใช้กำหนดทิศทางหลักของตลาด หรือ "Bias"
Timeframe กลาง (MTF) - M5: ใช้หาโซนสำคัญ หรือ "Point of Interest (POI)" เช่น Order Blocks หรือ Fair Value Gaps ที่สอดคล้องกับทิศทางจาก M15
Timeframe เล็ก (LTF) - กราฟปัจจุบัน: ใช้หาสัญญาณยืนยันเพื่อเข้าเทรดในโซน POI ที่กำหนดไว้
รายละเอียดของโค้ด
## ส่วนที่ 1: การตั้งค่า (Inputs & Settings)
ส่วนนี้ให้คุณปรับแต่งค่าต่างๆ ของ Indicator ได้:
การตั้งค่าทั่วไป:
i_pivotLookback: กำหนดระยะเวลาที่ใช้มองหาจุดกลับตัว (Pivot) ใน Timeframe เล็ก (LTF) เพื่อใช้ยืนยันสัญญาณ Change of Character (CHoCH)
การตั้งค่า M15 (ทิศทางหลัก):
i_m15EmaFast / i_m15EmaSlow: ใช้เส้น EMA 2 เส้นบน Timeframe 15 นาที เพื่อกำหนดเทรนด์หลัก หาก EMA เร็วอยู่เหนือ EMA ช้า จะเป็นเทรนด์ขาขึ้น และในทางกลับกัน
การตั้งค่า M5 (จุดสนใจ - POI):
i_showM5Fvg / i_showM5Ob: เปิด/ปิด การแสดงโซน Fair Value Gaps (FVG) และ Order Blocks (OB) บน Timeframe 5 นาที ซึ่งเป็นโซนที่สคริปต์จะใช้หาโอกาสเข้าเทรด
i_maxPois: จำกัดจำนวนโซน POI ที่จะแสดงผลบนหน้าจอ เพื่อไม่ให้กราฟดูรกเกินไป
การตั้งค่า LTF (การเข้าเทรด):
i_entryMode:
ยืนยัน (Confirmation): เป็นโหมดที่ปลอดภัยกว่า โดยสคริปต์จะรอให้เกิดสัญญาณ Change of Character (CHoCH) ใน Timeframe เล็กก่อน หลังจากที่ราคาเข้ามาในโซน POI แล้ว
เชิงรุก (Aggressive): เป็นโหมดที่เสี่ยงกว่า โดยสคริปต์จะเข้าเทรดทันทีที่ราคาแตะระดับ 50% ของโซน POI โดยไม่รอสัญญาณยืนยัน CHoCH
i_showChoch: เปิด/ปิด การแสดงเส้น CHoCH บนกราฟ
การตั้งค่าการจัดการเทรด:
i_tpRatio: กำหนด อัตราส่วนกำไรต่อความเสี่ยง (Risk-to-Reward Ratio) เพื่อตั้งเป้าหมายทำกำไร (Take Profit) เช่น 2.0 หมายถึงระยะทำกำไรจะเป็น 2 เท่าของระยะตัดขาดทุน
i_slMode: (ฟีเจอร์ใหม่ V5.2) มี 4 รูปแบบในการคำนวณ Stop Loss:
โซน POI (ค่าเริ่มต้น): วาง SL ไว้ที่ขอบนอกสุดของโซน POI
Swing ล่าสุด: วาง SL ไว้ที่จุด Swing High/Low ล่าสุดของ Timeframe เล็ก (LTF) ก่อนเข้าเทรด
ATR: ใช้ค่า ATR (Average True Range) เพื่อกำหนด SL ตามระดับความผันผวนของราคา
แท่งเทียนก่อนหน้า: วาง SL ไว้ที่ราคา High/Low ของแท่งเทียนก่อนหน้าที่จะเข้าเทรด เป็นวิธีที่ SL แคบและเสี่ยงที่สุด
i_maxHistory: กำหนดจำนวนประวัติการเทรดที่จะแสดงย้อนหลังบนกราฟ
## ส่วนที่ 2: ประเภทข้อมูลและตัวแปร
ส่วนนี้เป็นการสร้างโครงสร้างข้อมูล (type) เพื่อจัดเก็บข้อมูลให้เป็นระบบ:
Poi: เก็บข้อมูลของโซน POI แต่ละโซน เช่น กรอบราคาบน-ล่าง, ทิศทาง (ขึ้น/ลง) และสถานะว่าถูกใช้งานไปแล้วหรือยัง (Mitigated)
Trade: เก็บรายละเอียดของแต่ละการเทรด เช่น ราคาเข้า, SL, TP, ผลลัพธ์ (Win/Loss/Active) และอ็อบเจกต์สำหรับวาดกล่องบนกราฟ
## ส่วนที่ 3: ตรรกะหลักและการคำนวณ
เป็นหัวใจสำคัญของ Indicator:
ดึงข้อมูลข้าม Timeframe: ใช้ฟังก์ชัน request.security เพื่อดึงข้อมูล EMA จาก M15 และข้อมูลแท่งเทียนจาก M5 มาใช้งาน
ระบุ POI: สคริปต์จะค้นหา FVG และ OB บน M5 ตลอดเวลา หากเจ้ารูปแบบที่สอดคล้องกับทิศทางหลักจาก M15 (เช่น เจอ Bullish OB ในขณะที่ M15 เป็นขาขึ้น) ก็จะวาดโซนนั้นไว้บนกราฟ
เงื่อนไขการเข้าเทรด:
เมื่อราคาใน Timeframe เล็ก (LTF) วิ่งเข้ามาในโซน POI ที่ยังไม่เคยถูกใช้งาน
สคริปต์จะรอสัญญาณตาม i_entryMode ที่เลือกไว้ (รอ CHoCH หรือเข้าแบบ Aggressive)
เมื่อเงื่อนไขครบ จะคำนวณ SL และ TP จากนั้นจึงบันทึกการเทรดใหม่
ติดตามการเทรด: สำหรับเทรดที่ยัง "Active" อยู่ สคริปต์จะคอยตรวจสอบทุกแท่งเทียนว่าราคาไปถึง SL หรือ TP แล้วหรือยัง เมื่อถึงจุดใดจุดหนึ่ง จะบันทึกผลและสิ้นสุดการวาดกล่องบนกราฟ
## ส่วนที่ 5: การแสดงผลบนหน้าจอ
ส่วนนี้จะสร้างตาราง "Performance Dashboard" ที่มุมขวาบนของกราฟ เพื่อสรุปผลการทำงานแบบ Real-time:
M15 Bias: แสดงทิศทางของตลาดในปัจจุบัน
Total Trades: จำนวนเทรดทั้งหมดที่เกิดขึ้นในประวัติ
Win Rate: อัตราชนะ คิดเป็นเปอร์เซ็นต์
Total R-Multiple: ผลตอบแทนรวมจากความเสี่ยง (R) ทั้งหมด (ผลรวม RRR ของเทรดที่ชนะ ลบด้วยจำนวนเทรดที่แพ้) หากเป็นบวกแสดงว่ามีกำไรโดยรวม
📋 ข้อแนะนำในการใช้งาน
Timeframe ที่เหมาะสม: Indicator นี้ถูกออกแบบมาให้ใช้กับ Timeframe เล็ก (LTF) เช่น M1, M3 หรือ M5 เนื่องจากมันดึงข้อมูลจาก M15 และ M5 มาเป็นหลักการอยู่แล้ว
สไตล์การเทรด:
Confirmation: เหมาะสำหรับผู้ที่ต้องการความปลอดภัยสูง รอการยืนยันก่อนเข้าเทรด อาจจะตกรถบ้าง แต่ลดความเสี่ยงจากการเข้าเทรดเร็วเกินไป
Aggressive: เหมาะสำหรับผู้ที่ยอมรับความเสี่ยงได้สูงขึ้น เพื่อให้ได้ราคาเข้าที่ดีที่สุด
การเลือก Stop Loss:
"Swing ล่าสุด" และ "โซน POI" เป็นวิธีมาตรฐานตามหลัก SMC
"ATR" เหมาะกับตลาดที่มีความผันผวนสูง เพราะ SL จะปรับตามสภาพตลาด
"แท่งเทียนก่อนหน้า" เป็นวิธีที่เสี่ยงที่สุด เหมาะกับการเทรดเร็วและต้องการ RRR สูงๆ แต่ก็มีโอกาสโดน SL ง่ายขึ้น
การบริหารความเสี่ยง: Indicator นี้เป็นเพียง เครื่องมือช่วยวิเคราะห์ ไม่ใช่สัญญาณซื้อขายอัตโนมัติ 100% ผู้ใช้ควรมีความเข้าใจในหลักการของ SMC และทำการบริหารความเสี่ยง (Risk Management) อย่างเคร่งครัดเสมอ
การทดสอบย้อนหลัง (Backtesting): ควรทำการทดสอบ Indicator กับสินทรัพย์และตั้งค่าต่างๆ เพื่อให้เข้าใจลักษณะการทำงานและประสิทธิภาพของมันก่อนนำไปใช้เทรดจริง
MVWAP 5/21/50 + LWMA 400Moving vwap de 5,21,50 y media movil ponderada de 400
se puede utilizar con cruces
Holy GrailThis is a long-only educational strategy that simulates what happens if you keep adding to a position during pullbacks and only exit when the asset hits a new All-Time High (ATH). It is intended for learning purposes only — not for live trading.
🧠 How it works:
The strategy identifies pullbacks using a simple moving average (MA).
When price dips below the MA, it begins monitoring for the first green candle (close > open).
That green candle signals a potential bottom, so it adds to the position.
If price goes lower, it waits for the next green candle and adds again.
The exit happens after ATH — it sells on each red candle (close < open) once a new ATH is reached.
You can adjust:
MA length (defines what’s considered a pullback)
Initial buy % (how much to pre-fill before signals start)
Buy % per signal (after pullback green candle)
Exit % per red candle after ATH
📊 Intended assets & timeframes:
This strategy is designed for broad market indices and long-term appreciating assets, such as:
SPY, NASDAQ, DAX, FTSE
Use it only on 1D or higher timeframes — it’s not meant for scalping or short-term trading.
⚠️ Important Limitations:
Long-only: The script does not short. It assumes the asset will eventually recover to a new ATH.
Not for all assets: It won't work on assets that may never recover (e.g., single stocks or speculative tokens).
Slow capital deployment: Entries happen gradually and may take a long time to close.
Not optimized for returns: Buy & hold can outperform this strategy.
No slippage, fees, or funding costs included.
This is not a performance strategy. It’s a teaching tool to show that:
High win rate ≠ high profitability
Patience can be deceiving
Many signals = long capital lock-in
🎓 Why it exists:
The purpose of this strategy is to demonstrate market psychology and risk overconfidence. Traders often chase strategies with high win rates without considering holding time, drawdowns, or opportunity cost.
This script helps visualize that phenomenon.
Volume MAs Oscillator | Lyro RSVolume MAs Oscillator | Lyro RS
Overview
The Volume MAs Oscillator is a powerful volume‑adjusted momentum tool that combines custom‑weighted moving averages on volume‑weighted price with smoothed deviation bands. It offers dynamic insights into trend direction, overbought/oversold conditions, and relative valuation — all within a single indicator
Key Features
Volume‑Adjusted Moving Averages: Moving averages can be volume‑weighted using the following formula: a moving average of (Price × Volume) divided by a moving average of Volume. This formula is applied across more than 14 different moving averages; however, it is not used with the VWMA, as VWMA is inherently a volume-weighted moving average.
Percentage Oscillator: Displays the normalized difference: (source – MA) / MA * 100, centered around zero for easy interpretation of strength and direction.
Deviation Bands: Builds upper and lower bands from standard deviation of the oscillator over a selected lookback, with distinct positive/negative multipliers and optional smoothing to reduce noise.
Inputs: Band Length, Band Smoothing, Positive Band Multiplier, Negative Band Multiplier.
Multi‑Mode Signal System:
1. Trend Mode – Colors oscillator according to breaks above (bullish) or below (bearish) respective bands.
2. Reversion Mode – Inverses color logic: signals overextensions beyond bands as reversion opportunities, greys inside the bands.
3. Valuation Mode – Applies a gradient color scale (UpC ⇄ DnC) to reflect relative valuation strength.
Customizable Visuals: Select from 5 pre‑set palettes—Classic, Mystic, Major Themes, Accented, Royal—or define your own custom bullish/bearish colors.
Chart enhancements include color‑coded oscillator line, deviation bands, glow‑effect midline at zero, background shading and candlestick/bar coloring aligned to signal mode.
Built‑In Signals: Automatically plots ▲ oversold and ▼ overbought markers upon crosses of lower/upper bands (in trend or reversion modes), enhancing signal clarity.
How It Works
MA Calculation – Applies the selected MA type to price × volume (normalized by MA of volume) or direct VWMA.
Oscillator Output – Calculates the % difference of source vs. derived MA.
Band Construction – Computes rolling standard deviation; applies user‑defined multipliers; smooths bands with exponential blending.
Mode-Dependent Coloring & Signals –
• Trend: Highlights strength trends via band cross coloring.
• Reversion: Flags extremes beyond bands as potential pullbacks.
• Valuation: Uses gradient to reflect oscillator’s position relative to recent range.
Signal Markers – Deploys arrows and color rules to flag overbought (▼) or oversold (▲) conditions when bands are breached.
Practical Use
Trend Confirmation – In Trend Mode, use upward price_diff cross above upper band as bullish; downward cross below lower band as bearish.
Mean Reversion – In Reversion Mode, fading extremes beyond bands may precede a retracement.
Relative Valuation – Valuation Mode shines when assessing how extended price_diff is, with gradient colors indicating valuation zones.
Bars/candles color‑coded to oscillator state boosts clarity of market tone and allows for rapid visual scanning.
Customization
Adjust MA type/length to tune responsiveness vs. smoothing.
Configure band settings for volatility sensitivity.
Toggle between signal modes for trend-following or reversion strategies.
Stylish visuals: pick or customize color schemes to match your chart setup.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
KumoFlow Pro v1.0📌 Strategy Description: KumoFlow Pro v1.0
KumoFlow Pro is a momentum strategy that fuses the classic Ichimoku system with modern volume-based confirmations: VWMA (Volume Weighted Moving Average) and CMF (Chaikin Money Flow). It focuses not only on trend direction but also on whether the move is supported by genuine volume, enabling trades only on high-conviction breakouts.
🔍 Key Components:
- 🔹 Ichimoku: Captures trend direction, momentum, and support/resistance zones.
- 🔸 VWMA: Adds weight to volume-backed price moves and filters out weak breakouts.
- 🔸 CMF: Confirms the presence of real capital flow in the trade direction.
- 🔁 Trailing Stop: Dynamic exit mechanism that locks in profit once the trade is in gain. It is % based and adapts to price behavior.
🎯 Purpose of This Setup:
- Capitalize on short-term volatility
- Catch early breakouts with volume confirmation
- Preserve profits with precision via trailing exit
⚙️ OPTIMIZED PARAMETERS (BTC / 30MIN CHART):
- Ichimoku Tenkan/Kijun: 5 / 15
- Senkou B: 30
- VWMA & CMF Length: 10
- Trailing Trigger: 1.5%
- Trailing Offset: 1.0%
⚠️ DISCLAIMER:
This setup is tuned for fast-paced environments and frequent entries. It may produce false signals in choppy conditions. Please test and validate on demo or historical charts before live use.
🔧 All parameters are fully user-adjustable from the input panel. You may customize it for different timeframes or assets.
HEMA Trend by Rostek (Filters + ATR + RR) For testing by anyone. Enjoy! :)
HEMA Trend Levels with Gradient, ATR-based SL & TP, HTF Filter, and R/R Statistics
This advanced indicator is designed to help you detect high-quality trend crossovers using HEMA (Hull Exponential Moving Average) smoothing logic. It integrates dynamic visualization, strong multi-layer filters, and risk management levels — all in one package.
✅ Core Concept
The indicator plots two HEMAs (fast and slow), with a gradient fill between them that dynamically changes color based on the trend direction. Crossovers between these HEMAs generate potential trade signals (long or short).
🎨 Key Visual Features
Smooth gradient fill area between fast and slow HEMA.
Dynamic arrows marking crossover points (precisely above/below HEMA cross).
Optional ATR-based Stop Loss (SL) and Take Profit (TP) levels shown as dashed lines with labels.
Automatic display of calculated Risk/Reward (R/R) ratio next to TP level.
⚙️ Powerful Filters
You can enable/disable each of these filters individually:
✅ EMA Filter — Confirm signals only when the price is above/below a selected EMA (default: 100).
✅ ADX Filter — Confirms signals only if ADX value exceeds a set threshold (default: 20).
✅ RSI Filter — Filter signals based on RSI value (e.g., >50 for longs, <50 for shorts).
✅ Higher Time Frame (HTF) EMA Filter — Only take signals aligned with a higher timeframe EMA trend (e.g., daily EMA 100).
📏 Risk Management Features
ATR-based Stop Loss (SL): Dynamic stop level calculated using ATR, configurable multiplier (e.g., 1.5 × ATR).
ATR-based Take Profit (TP): Dynamic take profit level based on ATR, configurable multiplier (e.g., 3 × ATR).
Risk/Reward Statistics: Calculates and displays R/R ratio on the chart to help visually evaluate trade setups.
🔔 Alerts
A single unified alert condition for both long and short filtered signals, making it easy to set up TradingView alerts.
⚡ Usage Tips
Adjust HEMA lengths (default: 20 & 40) to tune responsiveness.
Enable/disable filters depending on your strategy and market conditions.
Fine-tune ATR multipliers for SL/TP based on your risk tolerance.
Use HTF filter to trade only in the direction of the main higher timeframe trend.
✅ Ideal for
Trend-following traders who want smoothed entries.
Traders looking for integrated visual risk management levels.
Users who want precise, customizable signals with strong filtering logic.
Enhanced Ichimoku Cloud Strategy V1 [Quant Trading]Overview
This strategy combines the powerful Ichimoku Kinko Hyo system with a 171-period Exponential Moving Average (EMA) filter to create a robust trend-following approach. The strategy is designed for traders seeking to capitalize on strong momentum moves while using the Ichimoku cloud structure to identify optimal entry and exit points.
This is a patient, low-frequency trading system that prioritizes quality over quantity. In backtesting on Solana, the strategy achieved impressive results with approximately 3600% profit over just 29 trades, demonstrating its effectiveness at capturing major trend movements rather than attempting to profit from every market fluctuation. The extended parameters and strict entry criteria are specifically optimized for Solana's price action characteristics, making it well-suited for traders who prefer fewer, higher-conviction positions over high-frequency trading approaches.
What Makes This Strategy Original
This implementation enhances the traditional Ichimoku system by:
Custom Ichimoku Parameters: Uses non-standard periods (Conversion: 7, Base: 211, Lagging Span 2: 120, Displacement: 41) optimized for different market conditions
EMA Confirmation Filter: Incorporates a 171-period EMA as an additional trend confirmation layer
State Memory System: Implements a sophisticated memory system to track buy/sell states and prevent false signals
Dual Trade Modes: Offers both traditional Ichimoku signals ("Ichi") and cloud-based signals ("Cloud")
Breakout Confirmation: Requires price to break above the 25-period high for long entries
How It Works
Core Components
Ichimoku Elements:
-Conversion Line (Tenkan-sen): 7-period Donchian midpoint
-Base Line (Kijun-sen): 211-period Donchian midpoint
-Span A (Senkou Span A): Average of Conversion and Base lines, plotted 41 periods ahead
-Span B (Senkou Span B): 120-period Donchian midpoint, plotted 41 periods ahead
-Lagging Span (Chikou Span): Current close plotted 41 periods back
EMA Filter: 171-period EMA acts as a long-term trend filter
Entry Logic (Ichi Mode - Default)
A long position is triggered when ALL conditions are met:
Cloud Bullish: Span A > Span B (41 periods ago)
Breakout Confirmation: Current close > 25-period high
Ichimoku Bullish: Conversion Line > Base Line
Trend Alignment: Current close > 171-period EMA
State Memory: No previous buy signal is still active
Exit Logic
Positions are closed when:
Ichimoku Bearish: Conversion Line < Base Line
Alternative Cloud Mode
When "Cloud" mode is selected, the strategy uses:
Entry: Span A crosses above Span B with additional cloud and EMA confirmations
Exit: Span A crosses below Span B with cloud and EMA confirmations
Default Settings Explained
Strategy Properties
Initial Capital: $1,000 (realistic for average traders)
Position Size: 100% of equity (appropriate for backtesting single-asset strategies)
Commission: 0.1% (realistic for most brokers)
Slippage: 3 ticks (accounts for realistic execution costs)
Date Range: January 1, 2018 to December 31, 2069
Key Parameters
Conversion Periods: 7 (faster than traditional 9, more responsive to price changes)
Base Periods: 211 (much longer than traditional 26, provides stronger trend confirmation)
Lagging Span 2 Periods: 120 (custom period for stronger support/resistance levels)
Displacement: 41 (projects cloud further into future than standard 26)
EMA Period: 171 (long-term trend filter, approximately 8.5 months of daily data)
How to Use This Strategy
Best Market Conditions
Trending Markets: Works best in clearly trending markets where the cloud provides strong directional bias
Medium to Long-term Timeframes: Optimized for daily charts and higher timeframes
Volatile Assets: The breakout confirmation helps filter out weak signals in choppy markets
Risk Management
The strategy uses 100% equity allocation, suitable for backtesting single strategies
Consider reducing position size when implementing with real capital
Monitor the 25-period high breakout requirement as it may delay entries in fast-moving markets
Visual Elements
Green/Red Cloud: Shows bullish/bearish cloud conditions
Yellow Line: Conversion Line (Tenkan-sen)
Blue Line: Base Line (Kijun-sen)
Orange Line: 171-period EMA trend filter
Gray Line: Lagging Span (Chikou Span)
Important Considerations
Limitations
Lagging Nature: Like all Ichimoku strategies, signals may lag significant price moves
Whipsaw Risk: Extended periods of consolidation may generate false signals
Parameter Sensitivity: Custom parameters may not work equally well across all market conditions
Backtesting Notes
Results are based on historical data and past performance does not guarantee future results
The strategy includes realistic slippage and commission costs
Default settings are optimized for backtesting and may need adjustment for live trading
Risk Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Always conduct your own analysis and risk management before implementing any trading strategy. The unique parameter combinations used may not be suitable for all market conditions or trading styles.
Customization Options
Trade Mode: Switch between "Ichi" and "Cloud" signal generation
Short Trading: Option to enable short positions (disabled by default)
Date Range: Customize backtesting period
All Ichimoku Parameters: Fully customizable for different market conditions
This enhanced Ichimoku implementation provides a structured approach to trend following while maintaining the flexibility to adapt to different trading styles and market conditions.
Relative Volume Strategy📈 Relative Volume Strategy by GabrielAmadeusLau
This Pine Script strategy combines volume-based momentum analysis with price action filtering, breakout detection, and dynamic stop-loss/take-profit logic, allowing for highly adaptable long and short entries. It is particularly suited for traders looking to identify reversals or continuation setups based on relative volume spikes and candle behavior.
🧠 Core Concept
At its core, this strategy uses a Relative Volume %R oscillator, comparing the current volume to its historical range using a Williams %R-like calculation. The oscillator is paired with dual moving average filters (Fast & Slow) to identify when volume is expanding or contracting.
Entries are further refined using a configurable price action filter based on the structure of bullish or bearish candles:
Simple: Basic up/down bar
Filtered: Range-based strength confirmation
Aggressive: Momentum-based breakout
Inside: Reversal bar patterns
Combinations of the above can be toggled for both long and short entries.
⚙️ Configurable Features
Trade Direction Control: Choose between Long Only, Short Only, or Both.
Directional Bar Modes: Set different conditions for long and short bar types (Simple, Filtered, Aggressive, Inside).
Breakout Filter: Optional filter to exclude trades near 5-bar highs/lows to avoid poor R/R trades.
Stop Loss & Take Profit System:
ATR-based dynamic SL/TP.
Configurable multipliers for both SL and TP.
Timed Exit: Optional bar-based exit after a fixed number of candles.
Custom Volume MA Smoothing: Choose from various smoothing algorithms (SMA, EMA, JMA, T3, Super Smoother, etc.) for both fast and slow volume trends.
Relative Volume Threshold: Minimum %R level for trade filtering.
📊 Technical Indicators Used
Relative Volume %R: A modified version of Williams %R, calculated on volume.
Dual Volume MAs: Fast and Slow MAs for volume trends using user-selected smoothing.
ATR: Average True Range for dynamic SL/TP calculation.
Breakout High/Low: 5-bar breakout thresholds to avoid late entries.
🚀 Trade Logic
Long Entry:
Volume > Fast MA > Slow MA
Relative Volume %R > Threshold
Price passes long directional filter
Optional: below recent breakout high
Short Entry:
Volume < Fast MA < Slow MA
Relative Volume %R < 100 - Threshold
Price passes short directional filter
Optional: above recent breakout low
Exits:
After N bars (configurable)
ATR-based Stop Loss / Take Profit if enabled
📈 Visualization
Orange Columns: Relative Volume %R
Green Line: Fast Volume MA
Red Line: Slow Volume MA
💡 Use Case
Ideal for:
Reversal traders catching capitulation or accumulation spikes
Momentum traders looking for volume-confirmed trends
Quantitative strategy developers wanting modular MA and price action filter logic
Intraday scalpers or swing traders using relative volume dynamics
Created by: GabrielAmadeusLau
License: Mozilla Public License 2.0
🔗 mozilla.org
Intermarket Analysis ProIntermarket Analysis Pro Indicator
Overview
The Intermarket Analysis Pro is a sophisticated trading indicator designed for forex traders, integrating technical analysis with comprehensive macroeconomic insights. This tool features Exponential Moving Averages (EMA 10/20) for trend detection, a consolidated table combining timeframe biases, trading signals, and intermarket data, delivering a holistic view to optimize decision-making in volatile markets.
Usage Instructions
Installation: Access TradingView, navigate to the Pine Editor, paste the script, and save it as "Intermarket_Analysis_Pro". Apply it to your desired forex chart (e.g., EURUSD on a 5-minute timeframe).
Configuration:
EMA Settings: Select EMA Source as "close" for precise alignment with candle closes, adjust EMA 10 Period (default 10) and EMA 20 Period (default 20) to suit your strategy, and toggle Show EMA Value Labels or Show (B)/(S) Signal Labels for enhanced visibility.
Table Settings: Enable Show Combined Table, select Combined Table Position (e.g., "Bottom Right"), and choose Text Size (e.g., "Small") for optimal display.
Intermarket Parameters: Fine-tune Bias Threshold (default 0.3) and Score Change Threshold (default 10) to refine intermarket bias sensitivity.
Display Options: Switch between "Light" or "Dark" themes to match your chart environment.
Signal Interpretation:
EMA Indicators: A crossover of EMA 10 (orange) above EMA 20 (blue) signals a potential BUY, while a crossunder indicates a SELL. Confirm with "(B)" or "(S)" labels on the chart.
Combined Table: Analyze timeframe biases (e.g., "BULLISH" on 1m), logic signals (e.g., "BUY" on 5m), and intermarket trends (e.g., "EUR Rise (+30)") to align with market conditions.
Strategic Application: Utilize on lower timeframes (1m, 5m) for scalping or higher timeframes (1h, 4h) for swing trading. Ensure smooth scrolling to verify EMA and table synchronization with candles.
Alert Setup: Configure alerts for "Buy Signal" or "Sell Signal" on your preferred timeframe to receive real-time notifications.
Key Features
EMA 10/20: Provides customizable short-term trend analysis with optional value labels.
Unified Table: Merges SimpleBias (timeframe trends), Logic (trading signals), and Intermarket (global currency, index, and bond movements) into a single, scrollable interface.
Intermarket Insights: Evaluates 18 assets (e.g., DXY, SPX500, EUR, XAUUSD) for macroeconomic sentiment, updated hourly with color-coded change indicators.
Customization: Offers adjustable positions, sizes, and thresholds to adapt to individual trading preferences.
Market Context: Reflects current sentiment, such as a bullish EURUSD trend supported by weak NFP data and hawkish ECB policies (as of July 2025).
Best Practices
Timeframe Alignment: Match the chart timeframe with your analysis to ensure accurate EMA and table data representation.
Optimal Trading Hours: Maximize effectiveness during the NY session (08:00-17:00 EST) when intermarket activity is most pronounced.
Troubleshooting: If EMA lags during scrolling, disable labels or reduce additional indicators. Report discrepancies (e.g., "EMA 10 at 1.08840, candle at 1.08850") for further optimization.
Additional Notes
The Intermarket Analysis Pro is tailored for traders seeking to integrate global sentiment with technical signals. Test thoroughly on a demo account and adjust settings to align with your trading strategy. As of July 5, 2025, 04:04 AM WIB, the market indicates a bullish EURUSD outlook, with intermarket data reinforcing BUY opportunities on lower timeframes.
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility.
The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals.
Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement.
Background:
Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals.
How to Read:
ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish.
Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought.
Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold.
Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility.
Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders.
Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops.
Settings:
ZLMA Period (20): Adjusts centerline responsiveness.
ATR Period (20): Sets volatility period.
Multiplier (2.0): Controls band width.
If you are still confused between the ZLMA Keltner Channels and Bollinger Bands:
Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection.
Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
Position Trading Strategy - EMA + FVG (Conservative)claude.ai
# 📊 Conservative Position Trading Strategy - EMA + FVG
## 🎯 **Strategy Overview**
This indicator combines **Exponential Moving Averages (EMA)** with **Fair Value Gap (FVG)** analysis to identify high-probability trading opportunities. Designed specifically for **funded account traders** who need consistent, conservative performance with strict risk management.
---
## 🔧 **Key Features**
### ✅ **Smart Entry Scoring System (1-10 Scale)**
- **EMA Alignment**: 3 points maximum
- **Price Position**: 2 points maximum
- **Momentum Confirmation**: 2 points maximum
- **Volume Validation**: 1 point maximum
- **FVG Proximity**: 2 points maximum
### ✅ **Advanced Signal Filtering**
- **Confluence Filter**: Ensures strong trend alignment
- **Volatility Filter**: Avoids choppy market conditions
- **Time Separation**: Prevents overtrading
- **Enhanced Exit Logic**: Color-coded position tracking
### ✅ **Risk Management Features**
- **Pyramiding Control**: Configurable position scaling
- **Conservative Position Sizing**: Based on account risk
- **Smart Exit Conditions**: Protects profits and limits losses
---
## ⚙️ **Settings Configuration**
### 🎯 **Entry Signal Strength**
| Setting | Conservative | Moderate | Aggressive |
|---------|-------------|----------|------------|
| **Minimum Entry Score** | 8-9 | 7-8 | 6-7 |
| **FVG Threshold** | 0.20% | 0.15% | 0.10% |
| **Use Confluence Filter** | ✅ ON | ✅ ON | ❌ OFF |
| **Volatility Filter** | ✅ ON | ✅ ON | ❌ OFF |
**📝 Recommendation**: Start with **Conservative** settings for funded accounts, then adjust based on performance.
### 🏗️ **Pyramiding Configuration**
| Account Type | Pyramid Levels | Risk Per Trade | Max Drawdown Target |
|-------------|----------------|----------------|---------------------|
| **Funded Account** | 1-2 | 0.25-0.5% | <3% |
| **Personal Account** | 2-3 | 0.5-1.0% | <5% |
| **High Risk** | 3-4 | 1.0-2.0% | <10% |
### 🔧 **Recommended Settings by Trading Style**
#### 🛡️ **Ultra Conservative (Funded Accounts)**
```
Minimum Entry Score: 8
Pyramid Levels: 1
Risk Per Trade: 0.25%
FVG Threshold: 0.20%
Confluence Filter: ON
Volatility Filter: ON
Min Candle Separation: 8
```
#### ⚖️ **Balanced Approach**
```
Minimum Entry Score: 7
Pyramid Levels: 2
Risk Per Trade: 0.5%
FVG Threshold: 0.15%
Confluence Filter: ON
Volatility Filter: ON
Min Candle Separation: 5
```
#### 🎯 **Moderate Aggressive**
```
Minimum Entry Score: 6
Pyramid Levels: 3
Risk Per Trade: 1.0%
FVG Threshold: 0.10%
Confluence Filter: OFF
Volatility Filter: OFF
Min Candle Separation: 3
```
---
## 📈 **How to Use**
### 1️⃣ **Setup Process**
1. Add the indicator to your chart
2. Configure settings based on your account type
3. Set up alerts for entry/exit signals
4. Monitor the info table for real-time metrics
### 2️⃣ **Signal Interpretation**
- **Green Labels (L + Score)**: Long entry signals
- **Red Labels (S + Score)**: Short entry signals
- **Green EXIT L**: Long position exits
- **Magenta EXIT S**: Short position exits
### 3️⃣ **Info Table Monitoring**
- **Long/Short Score**: Current entry strength
- **Trend**: Overall market direction
- **Position**: Current position status
- **Pyramids**: Active scaling levels
- **Volatility**: Market condition assessment
---
## 🎨 **Visual Elements**
### 📊 **Chart Display**
- **Blue Line**: EMA 21 (Short-term trend)
- **Orange Line**: EMA 55 (Medium-term trend)
- **Red Line**: EMA 233 (Long-term trend)
- **Background Colors**: Subtle trend indication
- **Entry/Exit Labels**: Clear signal identification
### 📋 **Information Table**
Real-time dashboard showing:
- Current signal strength
- Position status
- Risk metrics
- Market conditions
---
## ⚠️ **Important Notes**
### 🔴 **Risk Disclaimers**
- **Past performance does not guarantee future results**
- **Always use proper risk management**
- **Test thoroughly on demo accounts first**
- **Funded account rules vary by provider**
### 💡 **Best Practices**
- **Backtest extensively** before live trading
- **Start with conservative settings**
- **Monitor maximum drawdown closely**
- **Keep detailed trading records**
- **Follow your funded account rules**
### 📅 **Recommended Timeframes**
- **Primary Analysis**: 4H, 1D
- **Entry Timing**: 1H, 15M
- **Avoid**: <15M timeframes
---
## 🎓 **Strategy Logic**
### 📈 **Entry Conditions**
1. **EMA Alignment**: Trend direction confirmation
2. **Price Position**: Above/below key EMAs
3. **Momentum**: RSI and price change validation
4. **Volume**: Above-average trading activity
5. **FVG Proximity**: Near unfilled gaps
### 📉 **Exit Conditions**
- EMA crossovers (trend change)
- Price breaks key support/resistance
- Momentum reversal signals
- Position management rules
---
## 🏆 **Performance Optimization**
### 📊 **For Better Results**
- **Combine with market structure analysis**
- **Use multiple timeframe confirmation**
- **Respect overall market trends**
- **Avoid trading during major news events**
### 🔧 **Customization Tips**
- **Adjust EMA periods** for different markets
- **Modify FVG threshold** based on volatility
- **Experiment with scoring weights**
- **Fine-tune risk parameters**
---
## 💬 **Community & Support**
### 📝 **Feedback Welcome**
- Share your settings and results
- Report any bugs or issues
- Suggest improvements
- Post your backtesting results
### 🤝 **Collaboration**
This strategy is designed to evolve with community input. Your feedback helps make it better for everyone!
---
## 🎯 **Final Recommendations**
### ✅ **Do:**
- Start conservative and adjust gradually
- Backtest thoroughly across different market conditions
- Keep detailed performance records
- Follow strict risk management rules
### ❌ **Don't:**
- Use maximum aggressive settings immediately
- Ignore drawdown limits
- Trade without proper backtesting
- Violate your funded account rules
---
**📞 Remember**: This indicator is a tool to assist your trading decisions. Always combine it with proper risk management, market analysis, and your own trading plan. Success in trading comes from discipline, patience, and continuous learning.
**🎯 Good luck and trade safely!**
200 EMA Power Bounce Screenerthis indicator work on bullish reversal strategy. when stock is abov 200 ema and touch 200 ema for reversal. it will confirm that there is a revesal candle, stron support on 200 ema, primary trend is strong than secondary trand, have a strong volume, rsi cross 50 in upperside.
Normalized Volume EMA FilterTrade towards volume at liquidity levels (Trend Liquidity Zones indi), unless value states otherwise.
The SignalThe Signal — 9/21 EMA Cloud Indicator
“The Signal” is a clean, no-nonsense trend-following tool designed for traders who value clarity and precision.
This indicator plots a cloud between the 9-period and 21-period Exponential Moving Averages (EMAs), giving you immediate visual cues on trend direction and momentum. When the 9 EMA crosses above the 21 EMA, the cloud turns green — signaling bullish momentum. When the 9 EMA crosses below the 21 EMA, the cloud turns red — indicating potential bearish pressure.
🔍 Features:
- Minimalist design focused on the two most critical EMAs used by professional traders.
- Dynamic color-coded cloud: green for bullish, red for bearish.
- Optional EMA lines to fine-tune entries/exits.
- Offset control to project the EMAs forward and visualize leading momentum.
🧠 Strategy Recommendations
Basic Strategy:
- Buy Entry: When 9 EMA crosses above 21 EMA and the cloud turns green.
- Sell Entry: When 9 EMA crosses below 21 EMA and the cloud turns red.
- Use a trailing stop-loss or recent swing low/high for exits.
- CME_MINI:NQ1! Combine with volume confirmation or RSI divergence for higher confidence setups.
SPX Optimized EMA+VWAP+RSI IndicatorOptimized SPX EMA+VWAP+RSI indicators.
EMA9 = Orange
EMA21 =Blue
EMA50=Purple
EMA200=Red
VWAP=Teal
EMA Cross IndicatorHow to Use the Indicator
Interpreting Signals:
Bullish Crosses: Look for green triangles below the bars, indicating a shorter EMA crossing above a longer EMA (e.g., EMA 10 > EMA 20).
Bearish Crosses: Look for red triangles above the bars, indicating a shorter EMA crossing below a longer EMA (e.g., EMA 10 < EMA 20).
Setting Alerts: In TradingView, click the "Alerts" icon, select the condition (e.g., "Bullish Cross: EMA50 > EMA100"), and configure your notification preferences (e.g., email, popup).
Customization: Adjust the EMA lengths in the indicator settings to experiment with different periods if desired.
This indicator is designed to work on any timeframe and asset, including BTC/USDT, which you use to gauge trends for other coins. Let me know if you'd like to tweak it further or add more features!
EMA/DEMA_group_stdThis indicator is like its sister indicator in that it measures dispersion but instead of being cumulative it measures distance between moving averages in each group.
Group 1:11, 13, 18, 21
Group 2:18, 21, 29, 34
Group 3: 29, 34, 47, 55
Group 4: 47, 55, 76, 89
Group 5: 76, 89 123, 144
Group 6: 123, 144, 199, 233
Group 7: 199, 233, 322, 377
How to use
1. Divergences
2. Moving average crosses
3. Momentum
Plotshape colors show when moving averages are nearing a crossover and level can be manually set in menu.
Gattsreal EMASummary
The Gattsreal EMA indicator is a complete technical analysis tool designed to provide a clear and immediate view of the market trend and momentum across multiple timeframes. It combines long-term Exponential Moving Averages (EMAs) with a short-term EMA "ribbon," allowing traders to quickly identify the direction of the main trend and the strength of short-term movements.
Indicator Components
The Gattsreal EMA is composed of two main elements, both fully customizable:
Long-Term EMAs (Thick Lines):
EMA 200 (White): Considered the definitive line between a bull market and a bear market. Prices above the 200 EMA are generally considered to be in a long-term uptrend.
EMA 50 (Blue): An important medium-term trend line, often used as a dynamic level of support or resistance.
Short-Term EMA Ribbon:
Consists of a set of 9 EMAs (periods 9, 10, 15, 20, 25, 30, 35, 40, and 45).
The "ribbon" expands when volatility increases and contracts when volatility decreases.
The color of the ribbon's fill changes to indicate short-term momentum:
Green: The ribbon is in an uptrend (fastest EMA above the slowest), suggesting buying pressure.
Red: The ribbon is in a downtrend (fastest EMA below the slowest), suggesting selling pressure.
How to Use the Indicator
The Gattsreal EMA can be used in various ways to enhance your analysis and decision-making:
Main Trend Identification: The price's position relative to the 200 and 50 EMAs helps define your operational bias. It is preferable to trade in the direction of the main trend.
Entry and Exit Signals: The crossing of the price through the EMA ribbon can be used as a signal. For example, when the price crosses and closes above the entire ribbon and it turns green, it can be a buy signal.
Momentum Confirmation: The color and expansion of the ribbon serve as excellent confirmation of the strength of a move. A green and expanding ribbon confirms strong bullish momentum.
Dynamic Support and Resistance: All 11 EMAs can act as dynamic levels of support (in an uptrend) or resistance (in a downtrend).
This indicator is a powerful tool for traders of all levels looking for a visual and effective way to analyze market trends.
Previous Day High/Low with Labelsprevious day range, moving averages editable and with notes to add to the screen
Volatility Flow X – MACD + Ichimoku Hybrid Trail🌥️ Volatility Flow X – Hybrid Ichimoku Cloud Explained
This strategy combines Ichimoku’s cloud structure with real-time price position.
Unlike standard Ichimoku coloring, the cloud here reflects both trend direction and price behavior.
🔍 What the Cloud Colors Mean
🟢 Green Cloud
Senkou A > Senkou B
Price is above the cloud
→ Indicates strong uptrend; suitable for long entries
🔴 Red Cloud
Senkou A < Senkou B
Price is below the cloud
→ Indicates strong downtrend; suitable for short entries
⚪ Gray Cloud
Price contradicts trend, or price is inside the cloud
→ Represents indecision, low momentum; best to avoid entries
⚙️ Technical Features
Ichimoku Components: Tenkan-sen, Kijun-sen, Senkou Span A & B, Chikou Span
Cloud Transparency: 30%
MACD Filter: Optional momentum confirmation (customizable)
Trailing Stop: Optional dynamic trailing stop after trigger level
Directional Control: Long and short trailing rules can be set independently
📚 References
Ichimoku Charts – Nicole Elliott
Algorithmic Trading – Ernie Chan
TradingView Pine Script and hybrid trend models
⚠️ Disclaimer
This strategy is for educational and backtesting purposes only.
It is not financial advice. Always test thoroughly before applying to real trades.
