10/20 MA Coil: Progressive Colors & Multi-Day BreakoutThis indicator detects price “coil” setups and highlights potential breakout or breakdown opportunities using moving average alignment and volatility compression.
Features:
• Coil Detection:
• Identifies consolidation when:
• The 10 and 20 MAs are tightly aligned (within user-defined tolerance)
• Price is above both MAs and within 1.5x ADR of them
• The 50 MA is rising
• Progressive Coil Coloring:
• Coil candles are colored in progressively darker orange as the streak continues
• Bullish Breakout Signal:
• Triggers when a green candle follows a coiled bar
• The candle’s body must be greater than or equal to 1 ATR
• Colored lime green
• Bearish Breakdown Signal:
• Triggers when a red candle follows a coiled bar
• The candle’s body must be greater than or equal to 1 ATR to the downside
• Colored black
• Custom Candle Rendering:
• Candle body color represents coil or breakout state
• Wick and border are red or green to reflect price direction
• Optional Debug Tools:
• Coil streak, ATR, and distance from MAs can be plotted for deeper analysis
This script is designed for traders looking to spot price compression and prepare for high-probability moves following low-volatility setups.
移動平均線
Momentum Dashboard (Precision Fix + Smart Cross)🔍 **Overview:
This dashboard is a compact, vertical display that combines key momentum indicators — RSI, MACD, volume spikes, and price relative to 100 EMA — into a real-time decision tool. It is built to help identify **high-probability trade setups** using reliable momentum alignment and volume confirmation.
---
📊 What Each Row Shows:
1.*RSI Signal
* Shows current RSI value and whether it **recently crossed its EMA**.
* Bullish: RSI crossed above its EMA → Possible upside momentum.
* Bearish: RSI crossed below its EMA → Potential downside.
* Also tells how many bars ago the last cross happened.
2. MACD Signal
* Indicates if the **MACD line crossed the signal line** and how many bars ago.
* Helps confirm momentum shift in trend direction.
3. MACD Momentum
* Shows whether **bullish/bearish momentum is increasing or weakening** based on the MACD histogram.
* Example: 🔻 Bearish Momentum Increasing → strong downward trend building.
4. Volume
* Displays current volume and how it compares to the 5-bar average.
* Highlights if there is a **volume spike** (e.g., 1.5x or more of average volume) with orange colour to draw attention.
5.*MACD + VOL
* Shows "MACD + VOL 🟢" or "MACD + VOL 🔴" if a MACD cross occurred with a volume spike in the past **3 bars**.
* Great for spotting explosive entry points from smart money.
* If no recent combo → shows "No MACD + VOL"
6. 100 EMA
* Displays if price is above or below the 100 EMA to help assess the broader trend direction.
* Helps you align trades with prevailing trend bias.
---
How to Use This for Great Trades:
1. Setup Filtering
Wait for all lines to align bullish or bearish with volume.
2. Volume Confirmation
Confirm with the MACD + VOL signal — this is your smart money trigger. It means a recent MACD cross happened during a volume spike. These are often the most explosive moves.
3. Trend Direction Check
Use the **100 EMA row** to stay with the overall trend:
* For longs: Confirm price is above the 100 EMA.
* For shorts: Confirm price is below the 100 EMA.
4. Extra Edge with RSI/MACD Timing
Check how many bars ago the **RSI or MACD** crossed — fresher crosses usually signal stronger follow-through.
Multi-EMA Bullish Crossover alertAlert on EMA crossovers
10 above 20 - first sign of bullishness
20 above 50 - second
50 above 200 - stage 2 stock
Hybrid Strategy with Position Control//@version=6
indicator('Hybrid Strategy with Position Control', overlay=true)
// === INPUTS ===
emaFastLen = input.int(8, 'Fast EMA')
emaSlowLen = input.int(21, 'Slow EMA')
rsiLen = input.int(14, 'RSI Length')
rsiOverbought = input.int(70, 'RSI Overbought')
rsiOversold = input.int(30, 'RSI Oversold')
macdFast = input.int(12, 'MACD Fast')
macdSlow = input.int(26, 'MACD Slow')
macdSignal = input.int(9, 'MACD Signal')
// === CALCULATIONS ===
emaFast = ta.ema(close, emaFastLen)
emaSlow = ta.ema(close, emaSlowLen)
rsi = ta.rsi(close, rsiLen)
= ta.macd(close, macdFast, macdSlow, macdSignal)
// === POSITION TRACKING ===
var int position = 0 // 0 = no position, 1 = long, -1 = short
// === ENTRY CONDITIONS ===
longCondition = ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and position != 1
shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and position != -1
// === EXIT CONDITIONS (Optional logic for reset) ===
exitLong = ta.crossunder(emaFast, emaSlow)
exitShort = ta.crossover(emaFast, emaSlow)
// === SIGNAL PLOTS ===
buySignal = longCondition
sellSignal = shortCondition
plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY')
plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL')
// === STATE MANAGEMENT ===
if (longCondition)
position := 1
if (shortCondition)
position := -1
// Reset position if trend reverses
if (exitLong and position == 1)
position := 0
if (exitShort and position == -1)
position := 0
// === PLOT EMAs ===
plot(emaFast, color=color.orange, title='Fast EMA')
plot(emaSlow, color=color.blue, title='Slow EMA')
Innotrade Price Action Reversal Entry CandlesInnotrade Price Action Reversal Entry Candles
This indicator is designed to help traders identify high-probability reversal entry points. It combines a classic two-candle reversal pattern with an intelligent moving average confirmation filter to increase the likelihood of successful trades and reduce false signals.
The "Innotrade PA Reversal Entry Candles" indicator not only visualizes potential turning points but also qualifies them by highlighting only the strongest setups with a clear "L" (Long) or "S" (Short) signal.
Key Features
Dynamic Two-Candle Reversal Detection:
Setup Candle: The first candle initiating a potential reversal is subtly colored (e.g., light green after a red candle).
Entry Candle: The second, confirming candle of the pattern is marked with a more prominent color to clearly visualize the potential entry point.
Intelligent MA Trend Filter & Entry Confirmation: This is the core of the indicator. It filters reversal signals based on their quality:
Long Signal (L): An "L" appears below a bullish entry candle only if it closes above both moving averages (EMA & SMA). This signals a strong long entry confirmed by the uptrend.
Short Signal (S): An "S" appears above a bearish entry candle only if it closes below both moving averages. This signals a strong short entry confirmed by the downtrend.
Integrated Moving Averages:
An Exponential Moving Average (EMA) and a Simple Moving Average (SMA) are included directly in the indicator (default length 50).
The lines are automatically labeled on the last bar, so you always know which line is which.
Comprehensive Customization: Fully adapt the indicator to your personal trading style.
Strategy and Application
Look for High-Quality Signals: The strongest signals are the colored entry candles that also display an "L" or "S" label.
Long Entries: An "L" below a bright green candle signals a high probability of an upward move, as the reversal pattern is confirmed by the prevailing trend (price above the MAs).
Short Entries: An "S" above a bright red candle signals a high probability of a downward move, as the bearish pattern is confirmed by the downtrend.
Weaker Signals: Colored entry candles that do not receive an "L" or "S" label suggest a counter-trend setup. These should be traded with increased caution and may require additional confirmation.
Context: Use the EMA and SMA lines as general indicators for the current market sentiment and as dynamic support or resistance zones.
Customization Options
You can configure nearly everything in the settings menu:
Toggle Signals On/Off: Independently enable or disable the reversal coloring and the "L/S" labels.
Customize Colors: Change the colors for setup, entry, and text elements.
Adjust L/S Label Size: Choose from five different sizes (from tiny to huge) to optimize the display.
Modify Moving Averages: Change the period length of the EMA and SMA or hide them completely.
Disclaimer
This indicator is for informational and educational purposes only and does not constitute financial advice. Always make trading decisions based on comprehensive analysis and solid risk management. Backtesting and paper trading are strongly recommended before deploying any strategy with real capital.
Kaufman Profit DualTrend + ATR FilterKaufman trend indicator with vol exit and atr profit adjustment
Intelligent Moving📈 Intelligent Moving — Self-Adjusting Trend Bands with Neural Optimization
Description
Intelligent Moving is a closed-source indicator for trend analysis and breakout detection. It uses a central moving average, ATR-based deviation bands, and a self-optimizing algorithm powered by virtual trade simulation and a simple neural network (perceptron). The tool adjusts its core parameters in real time, allowing it to dynamically adapt to evolving market conditions without manual intervention.
🧩 Structure and Visual Elements
The indicator displays:
- 📍 Central Moving Average Line: The trend baseline.
- 📊 ATR-Based Deviation Bands: Upper and lower lines offset from the MA using an adaptive multiplier.
- 📈 Trend Coloring: All three lines change color based on whether the price is trending above or below the MA.
- 🔼🔽 Signal Arrows: Buy/sell arrows appear when the price reverts from an overextended zone.
🔍 Detailed Logic of Calculations
1. Moving Average
The center line is a moving average whose period is dynamically optimized based on historical performance. It reflects the current trend direction and is used for band calculations and signal logic.
2. ATR-Based Deviation Bands
Deviation bands are calculated as:
- Upper Band = MA + ATR × UpperDeviation
- Lower Band = MA − ATR × LowerDeviation
These bands do not use standard deviation. Instead, the ATR (with the same period as the MA) is multiplied by deviation coefficients, which are optimized in real time.
3. Trend Coloring
The indicator colors the bands based on the relative position of price closes:
- Bullish Trend (e.g., Blue): Recent closes are above the MA.
- Bearish Trend (e.g., Red): Recent closes are below the MA.
This helps traders visually identify the dominant trend at a glance.
🎯 Signal Generation Logic
🔼 Buy Signal:
- Price closes below the lower band for one or more bars.
- Then, a bar closes back above the lower band.
🔽 Sell Signal:
- Price closes above the upper band for one or more bars.
- Then, a bar closes back below the upper band.
Signals are reversion-based, not triggered by classical crossovers or oscillators. They aim to detect price exhaustion followed by reversal.
🧠 Neural Optimization Engine
The key innovation in Intelligent Moving is a lightweight neural self-optimization system.
🧪 Virtual Trade Simulation
At regular intervals (e.g., every 100 bars), the indicator performs simulations:
- Virtual Buy Entry: When price closes below the lower band and then closes above.
- Virtual Sell Entry: When price closes above the upper band and then closes below.
- Virtual Stop-Losses:
- - For longs: one pip below the lowest low during the signal zone.
- - For shorts: one pip above the highest high during the signal zone.
- Virtual Take-Profit Conditions:
- - Longs close when price closes above the MA.
- - Shorts close when price closes below the MA.
Simulated profits are calculated for each combination of parameters.
🔄 Neural Optimization Process
Using the results of these virtual trades, the built-in perceptron neural network evaluates:
- A range of moving average periods
- A range of upper and lower deviation coefficients
You define the optimization boundaries through:
- Base value
- Step size
- Number of passes
- Whether to base the search on the original value or the last-best result
The perceptron selects the best-performing combination, which is then used until the next optimization cycle.
This enables the indicator to continuously adapt to changing market dynamics.
🚀 Why Use Intelligent Moving?
- ✅ Dynamic self-optimization using neural logic
- ✅ Reversion-based signal system
- ✅ Visual trend clarity through adaptive coloring
- ✅ No manual tuning required
- ✅ Customizable visuals and alerts
⚠️ Additional Notes
- This script is closed-source, but the description provides sufficient transparency about its logic and mechanisms as required by TradingView rules.
- It does not repaint signals.
- The built-in training is purely historical, and parameters are only updated between intervals — not retroactively.
- Due to the complexity of the internal training and optimization logic, the script may take longer to load, especially when deep simulation depth or a large number of passes is selected.
- In rare cases, TradingView may show a “Script execution timeout” error if the combined loop workload exceeds platform limits. If that happens, try reducing:
- - Neurolearning Rates Depth
- - Neurolearning Periods Passes
- - Neurolearning Deviations Passes
CerberusFX Midnight Line UTC+2Daily Vertical Line UTC+2
Plots a vertical blue line spanning the full chart height at the start of each day at 00:00 UTC+2 (or the next available candle). Includes a label ("00:00 UTC+2") above the candle for clarity. Ideal for separating trading days on intraday charts in the UTC+2 timezone.
Crypto Trend StrengthCrypto Trend Strength Dashboard (11-Point System)
Description:
This indicator is a visually enhanced dashboard that evaluates 11 key technical signals to assess bullish momentum for crypto. Each condition is displayed in a easy reading table for quick interpretation and visual appeal.
Signals include:
Higher highs and higher lows
Price above SMA18 and SMA365
SMA180 > SMA365
Positive slope on SMA180 and SMA365
RSI trending upward
Ideal for traders who want a clean, at-a-glance summary of market strength without scanning multiple charts or indicators.
Kaufman Profit Ranking(% Terms) DualTrend FilterKaufman Dual Trend filter than rank on trend profits instead of price returns.
EMA Curl Strength+EMA Curl Strength+
Description:
This indicator provides a statistically normalized view of EMA slope momentum using Z-score transformation. By evaluating the rate of change of an EMA and comparing it against its historical behavior, the script highlights momentum shifts in a dynamic, adaptive way.
⸻
How It Works:
• Calculates the slope (percentage change) of a chosen EMA.
• Normalizes the slope using Z-score over a custom lookback period.
• Smooths the resulting signal and computes two signal lines for comparison.
• Assigns dynamic colors based on user-defined Z-score thresholds for mild, moderate, and strong momentum in both directions.
⸻
Visual Features:
• Gradient fill between the Z Curl Line and Signal 1 to highlight slope acceleration.
• Histogram showing the difference between the Z Curl Line and its signal.
• Optional signal crossover shapes between configurable pairs (e.g., Z Curl vs. Signal).
• Background highlights when the Z Curl Line exceeds ±2, indicating strong trending behavior.
⸻
Customization:
• Adjustable EMA length, smoothing lengths, signal lengths, histogram smoothing, and Z-score lookback.
• Separate color controls for:
• Z-score strength bands (mild/moderate/strong up/down)
• Histogram bars
• Signal lines
• Background highlight zones
• Crossover shapes
⸻
Use Cases:
• Momentum Confirmation: Confirm strength when Z Curl exceeds ±2 with matching background highlights.
• Trend Entry Timing: Look for trades when Z Curl crosses above or below the 0-line.
• Scalping: Capture quick directional moves when momentum accelerates.
• Trend Following: Use strong Z Curl values to confirm trade direction and filter sideways action.
• Divergence Detection: Spot divergences between price and Z Curl movement to anticipate reversals.
AI Breakout Bands (Zeiierman)█ Overview
AI Breakout Bands (Zeiierman) is an adaptive trend and breakout detection system that combines Kalman filtering with advanced K-Nearest Neighbor (KNN) smoothing. The result is a smart, self-adjusting band structure that adapts to dynamic market behavior, identifying breakout conditions with precision and visual clarity.
At its core, this indicator estimates price behavior using a two-dimensional Kalman filter (position + velocity), then enhances the smoothing process with a nonlinear, similarity-based KNN filter. This unique blend enables it to handle noisy markets and directional shifts with both speed and stability — providing breakout traders and trend followers a reliable framework to act on.
Whether you're identifying volatility expansions, capturing trend continuations, or spotting early breakout conditions, AI Breakout Bands gives you a mathematically grounded, visually adaptive roadmap of real-time market structure.
█ How It Works
⚪ Kalman Filter Engine
The Kalman filter models price movement as a state system with two components:
Position (price)
Velocity (trend direction)
It recursively updates predictions using real-time price as a noisy observation, balancing responsiveness with smoothness.
Process Noise (Position) controls sensitivity to sudden moves.
Process Noise (Velocity) controls smoothing of directional flow.
Measurement Noise (R) defines how much the filter "trusts" live price data.
This component alone creates a responsive yet stable estimate of the market’s center of gravity.
⚪ Advanced K-Neighbor Smoothing
After the Kalman estimate is computed, the script applies a custom K-Nearest Neighbor (KNN) smoother.
Rather than averaging raw values, this method:
Finds K most similar past Kalman values
Weighs them by similarity (inverse of absolute distance)
Produces a smoother that emphasizes structural similarity
This nonlinear approach gives the indicator an AI feature — reacting fast when needed, yet staying calm in consolidation.
█ How to Use
⚪ Trend Recognition
The line color shifts dynamically based on slope direction and breakout confirmation.
Bullish conditions: price above the mid band with positive slope
Bearish conditions: price below the mid band with negative slope
⚪ Breakout Signals
Price breaking above or below the bands may signal momentum acceleration.
Combine with your own volume or momentum confirmation for stronger entries.
Bands adapt to market noise, helping filter out low-quality whipsaws.
█ Settings
Process Noise (Position): Controls Kalman filter’s sensitivity to price changes.
Process Noise (Velocity): Controls smoothing of directional component.
Measurement Noise (R): Defines how much trust is placed in price data.
K-Neighbor Length: Number of historical Kalman values considered for smoothing.
Slope Calculation Window: Number of bars used to compute trend slope of the smoothed Kalman.
Band Lookback (MAE): Rolling period for average absolute error.
Band Multiplier: Multiplies MAE to determine band width.
-----------------
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.
EMA and Dow Theory Strategies🌐 Strategy Description
📘 Overview
This is a hybrid strategy that combines EMA crossovers, Dow Theory swing logic, and multi-timeframe trend overlays. It is suitable for intraday to short-term trading on any asset class: crypto, forex, stocks, and indices.
The strategy provides precise entry/exit signals, dynamic stop-loss and scale-out, and highly visual trade guidance.
🧠 Key Features
・Dual EMA crossover system (applied to both symbol and external index)
・Dow Theory-based swing high/low detection for trend confirmation
・Visual overlay of higher timeframe swing trend (htfTrend)
・RSI filter to avoid overbought/oversold entries
・Dynamic partial take-profit when trend weakens
・Custom stop-loss (%) control
・Visualized trade PnL labels directly on chart
・Alerts for entry, stop-loss, partial exit
・Gradient background zones for swing zones and trend visualization
・Auto-tracked metrics: APR, drawdown, win rate, equity curve
⚙️ Input Parameters
| Parameter | Description |
| ------------------------- | -------------------------------------------------------- |
| Fast EMA / Slow EMA | Periods for detecting local trend via EMAs |
| Index Fast EMA / Slow EMA | EMAs applied to external reference index |
| StopLoss | Maximum loss threshold in % |
| ScaleOut Threshold | Scale-out percentage when trend changes color |
| RSI Period / Levels | RSI period and overbought/oversold levels |
| Swing Detection Length | Number of bars used to detect swing highs/lows |
| Stats Display Options | Toggle PnL labels and position of statistics table |
🧭 About htfTrend (Higher Timeframe Trend)
The script includes a higher timeframe trend (htfTrend) calculated using Dow Theory (pivot highs/lows).
This trend is only used for visual guidance, not for actual entry conditions.
Why? Strictly filtering trades by higher timeframe often leads to missed opportunities and low frequency.
By keeping htfTrend visual-only, traders can still refer to macro structure but retain trade flexibility.
Use it as a contextual tool, not a constraint.
ストラテジー説明
📘 概要
本ストラテジーは、EMAクロスオーバー、ダウ理論によるスイング判定、**上位足トレンドの視覚表示（htfTrend）**を組み合わせた複合型の短期トレーディング戦略です。
仮想通貨・FX・株式・指数など幅広いアセットに対応し、デイトレード〜スキャルピング用途に適しています。
動的な利確/損切り、視覚的にわかりやすいエントリー/イグジット、統計表示を搭載しています。
🧠 主な機能
・対象銘柄＋外部インデックスのEMAクロスによるトレンド判定
・ダウ理論に基づいたスイング高値・安値検出とトレンド判断
・上位足スイングトレンド（htfTrend）の視覚表示
・RSIフィルターによる過熱・売られすぎの回避
・トレンドの弱まりに応じた部分利確（スケールアウト）
・**損切り閾値（％）**をカスタマイズ可能
・チャート上に損益ラベル表示
・アラート完備（エントリー・決済・部分利確）
・トレンドゾーンを可視化する背景グラデーション
・勝率・ドローダウン・APR・資産増加率などの自動表示
| 設定項目名 | 説明内容 |
| --------------------- | -------------------------- |
| Fast EMA / Slow EMA | 銘柄に対して使用するEMAの期間設定 |
| Index Fast / Slow EMA | 外部インデックスのEMA設定 |
| 損切り（StopLoss） | 損切りラインのしきい値（%で指定） |
| 部分利確しきい値 | トレンド弱化時にスケールアウトする割合（%） |
| RSI期間・水準 | RSI計算期間と、過熱・売られすぎレベル設定 |
| スイング検出期間 | スイング高値・安値の検出に使用するバー数 |
| 統計表示の切り替え | 損益ラベルや統計テーブルの表示／非表示選択 |
🧭 上位足トレンド（htfTrend）について
本スクリプトには、上位足でのスイング高値・安値の更新に基づく**htfTrend（トレンド判定）が含まれています。
これは視覚的な参考情報であり、エントリーやイグジットには直接使用されていません。**
その理由は、上位足を厳密にロジックに組み込むと、トレード機会の損失が増えるためです。
このスクリプトでは、**判断の補助材料として「表示のみに留める」**設計を採用しています。
→ 裁量で「利確を早める」「逆張りを避ける」判断に活用可能です。
Multi-Method Moving Average v6.0Multi-Methods Moving Average Indicator is a versatile tool designed for traders who want to identify key price levels that can act as support and resistance in the market. This indicator utilizes multiple moving averages (MAs) to help visualize price trends and potential reversal points, aiding traders in making informed decisions.
Features
Multiple Moving Averages: The indicator calculates and displays six different moving averages (MA1 to MA6) based on user-defined periods. This allows traders to analyze short-term and long-term trends effectively.
Customizable Inputs: Users can customize the periods for each moving average and select the type of moving average (SMA, EMA, WMA) that best suits their trading strategy.
Price Source Selection: The indicator allows users to choose the price source (Open, Close, High, Low, or the average of Open and Close) for calculating the moving averages, providing flexibility in analysis.
Color-Coded Signals: The moving averages are color-coded based on the current price relative to the moving average, helping traders quickly identify bullish or bearish conditions.
How to Use
Adding the Indicator:
Open TradingView and navigate to the chart you wish to analyze.
Click on the "Indicators" button at the top of the chart.
Search for "Multi-Methods Moving Average" and select the indicator to add it to your chart.
Customizing Settings:
Click on the gear icon next to the indicator's name in the chart legend to open the settings menu.
Adjust the periods for each moving average to fit your trading style. Common settings include 9, 26, 52, 100, 200, and 500 periods.
Choose the type of moving average you prefer (SMA, EMA, or WMA).
Select the price source that aligns with your trading strategy.
Interpreting the Indicator:
Moving Averages: Observe the position of the moving averages relative to the price. If the price is above the moving average, it indicates a bullish trend; if below, it suggests a bearish trend.
Crossover Signals: Look for crossovers between the moving averages. A crossover where a shorter moving average crosses above a longer moving average may signal a potential buy opportunity, while a crossover in the opposite direction may indicate a sell opportunity.
Support and Resistance Levels: Use the moving averages as dynamic support and resistance levels. Price often reacts at these levels, providing potential entry and exit points for trades.
Risk Management:
Always combine the insights from this indicator with other forms of analysis, such as price action, volume analysis, and market sentiment.
Set stop-loss and take-profit levels based on the identified support and resistance levels to manage your risk effectively.
Conclusion
The Support & Resistance Indicator is an essential tool for traders looking to enhance their market analysis. By leveraging multiple moving averages and customizable settings, traders can gain a clearer understanding of market trends and make more informed trading decisions.
15m EMA 50 CloudDescription:
The 15m EMA 50 Cloud is a simple but powerful tool designed for scalpers and intraday traders who hunt for low timeframe patterns while staying anchored to higher timeframe trend context.
This indicator displays the 50-period EMA and its volatility cloud from the 15-minute chart on any timeframe - including 1m, 3m, or 5m. The cloud adapts dynamically and remains visible even when you zoom into lower timeframes, helping you instantly see whether price is trading above, below or within the 15m trend structure.
Features:
* Plots the 15-minute 50 EMA Cloud on any chart, regardless of your selected timeframe.
* Cloud width is based on 15m price volatility (standard deviation), inspired by the popular "Traders Reality" indicator.
* Option to enable or hide the EMA line for a cleaner look.
* Customizable colors for the cloud fill, border, and EMA line.
* Works with all markets and all symbols.
How to Use:
* Perfect for scalpers who want to spot micro patterns (e.g., on 1m or 3m charts) while keeping
the 15m EMA cloud as a visual "road map".
* Use the cloud as a dynamic support/resistance zone or to define higher timeframe trend bias.
* Combine with your favorite price action or orderflow setups for multi-timeframe confluence.
Settings:
* Toggle EMA line ON/OFF.
* Adjust cloud and border colors for your chart style.
For educational purposes only. This indicator does not provide financial advice or signals. Always use proper risk management.
⚠️ Important Notice
This tool is provided for educational and informational purposes only . It is designed to assist in technical analysis learning and visual chart study.
It is not intended to be used as financial advice, a buy/sell signal, or any form of investment recommendation .
By using this indicator, you acknowledge that all actions you take are your own and you assume full responsibility for any decisions made.
KURT 4'LÜ ADİL DEĞER SİSTEMİ + GÜÇ MODUSure! Here's your full KURT STRATEGY GUIDE 🐺💼🔥 translated into English in a professional yet impactful tone, keeping the metaphors and structure intact:
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KURT STRATEGY GUIDE 🐺💼🔥
This is your complete manual on how to explain and implement this powerful system.
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📜 3 GOLDEN RULES WHEN EXPLAINING THE SYSTEM:
1. 4 TIMEFRAMES = 4 DIFFERENT EYES
Think of the system as a superhero analyzing the market through four timeframes:
Blue (20 bars): Eagle Eye (instant moves)
Orange (50 bars): Tiger Eye (short-term view)
Green (100 bars): Wolf Eye (main strategy) 🐺
Purple (200 bars): Elephant Eye (long-term investor)
---
2. SPEK METER = BALLOON DETECTOR
The "SPEK" percentage shows how inflated or suppressed a stock is – like a pressure gauge:
+5% ↑: Slight inflation
+10% ↑: Bubble risk
-5% ↓: Mild suppression
-10% ↓: Deep value opportunity
---
3. KURT SIGNALS = OPPORTUNITY BELLS
Ordinary signals are regular troops – KURT signals are special forces:
KURT BUY: Long-term bottom + Collapse RSI
KURT SELL: Short-term peak + Overbought RSI
---
🎯 3 CORE BUY-SELL STRATEGIES:
1. CORE STRATEGY (FOCUS ON GREEN LINE)
BUY CONDITION:
Price ≤ Green Line * 1.05
+ RSI ≤ 35
+ SPEK (100b) ≤ -3%
SELL CONDITION:
Price ≥ Green Line
+ RSI ≥ 65
+ SPEK (100b) ≥ +5%
Risk Management:
Stop Loss: Low of entry bar
Take Profit: Next resistance (Orange or Purple line)
---
2. MULTI-TIMEFRAME CONFLUENCE STRATEGY
STRONG BUY:
3 of 4 lines pointing down
KURT BUY signal
Volume > 20-day average
AGGRESSIVE SELL:
Blue and Green lines pointing up
SPEK > 7%
KURT SELL signal
Bearish broader market
Portfolio Allocation:
Buy signal: 70% core position + 30% KURT tactical entry
Sell signal: 100% exit
---
3. TIMING MASTER STRATEGY
Timeframe Signal Type Holding Duration Leverage
20b Scalping 15 min – 1 hour 5x
50b Swing 1 – 3 days 3x
100b Position 1 – 2 weeks 2x
200b Investment 1 – 3 months 1x
---
💎 5 ADVANCED TACTICS:
1. Line Convergence Strategy:
“If Blue and Purple lines converge → Mega trend shift! ~90% success rate”
2. SPEK Spread Tactic:
“Short-term SPEK rising, long-term SPEK falling → Reversal opportunity at the bottom”
3. ATR Volatility Filter:
safeBuy = buyCondition and (ta.atr(14) > ta.sma(ta.atr(14), 50))
4. Gap Fill Strategy:
“KURT BUY + Downward gap → Add to position on gap fill”
5. Volatility-Based Position Sizing:
lotBuy = (strategy.equity * 0.01) / (ta.atr(14)*3)
6. Black Swan Protection:
“If SPEK (200b) > 15%, close ALL positions immediately!”
---
📣 KEY POINTS TO HIGHLIGHT WHEN PRESENTING THE SYSTEM:
> “This system offers a 4-dimensional market vision:
Short-term speculators (Blue)
Medium-term swing traders (Orange/Green)
Long-term investors (Purple).”
Auto Intelligence Selective Moving Average(AI/MA)# 🤖 Auto Intelligence Moving Average Strategy (AI/MA)
**AI/MA** is a state-adaptive moving average crossover strategy designed to **maximize returns from golden cross / death cross logic** by intelligently switching between different MA types and parameters based on market conditions.
---
## 🎯 Objective
To build a moving average crossover strategy that:
- **Adapts dynamically** to market regimes (trend vs range, rising vs falling)
- **Switches intelligently** between SMA, EMA, RMA, and HMA
- **Maximizes cumulative return** under realistic backtesting
---
## 🧪 materials amd methods
- **MA Types Considered**: SMA, EMA, RMA, HMA
- **Parameter Ranges**: Periods from 5 to 40
- **Market Conditions Classification**:
- Based on the slope of a central SMA(20) line
- And the relative position of price to the central line
- Resulting in 4 regimes: A (Bull), B (Pullback), C (Rebound), D (Bear)
- **Optimization Dataset**:
- **Bybit BTCUSDT.P**
- **1-hour candles**
- **2024 full-year**
- **Search Process**:
- **Random search**: 200 parameter combinations
- Evaluated by:
- `Cumulative PnL`
- `Sharpe Ratio`
- `Max Drawdown`
- `R² of linear regression on cumulative PnL`
- **Implementation**:
- Optimization performed in **Python (Pandas + Matplotlib + Optuna-like logic)**
- Final parameters ported to **Pine Script (v5)** for TradingView backtesting
---
## 📈 Performance Highlights (on optimization set)
| Timeframe | Return (%) | Notes |
|-----------|------------|----------------------------|
| 6H | +1731% | Strongest performance |
| 1D | +1691% | Excellent trend capture |
| 12H | +1438% | Balance of trend/range |
| 5min | +27.3% | Even survives scalping |
| 1min | +9.34% | Robust against noise |
- Leverage: 100x
- Position size: 100%
- Fees: 0.055%
- Margin calls: **none** 🎯
---
## 🛠 Technology Stack
- `Python` for data handling and optimization
- `Pine Script v5` for implementation and visualization
- Fully state-aware strategy, modular and extendable
---
## ✨ Final Words
This strategy is **not curve-fitted**, **not over-parameterized**, and has been validated across multiple timeframes. If you're a fan of dynamic, intelligent technical systems, feel free to use and expand it.
💡 The future of simple-yet-smart trading begins here.
MA Signal IndicatorMA Signal Indicator
The MA Signal Indicator is a customizable designed to identify potential trading opportunities based on price interactions with a Simple Moving Average (SMA). It incorporates risk management features such as stop-loss (SL), take-profit (TP), and breakeven levels, calculated using the Average True Range (ATR). The indicator is visually intuitive, overlaying trade signals, price levels, and colored zones directly on the chart.
Key Features:
1. Moving Average-Based Signals:
• Generates buy (long) signals when the price crosses above a user-defined SMA (default: 55 periods).
• Generates sell (short) signals when the price crosses below the SMA.
• Long and short trades can be independently enabled or disabled via input settings.
2. Risk Management:
• Stop-Loss (SL): Set as a multiple of the ATR (default: 1x ATR) below the entry price for long trades or above for short trades.
• Take-Profit (TP): Set as a multiple of the ATR (default: 5x ATR) above the entry price for long trades or below for short trades.
• Breakeven Level: A trigger level (default: 2x ATR) where traders may choose to move their stop-loss to breakeven, optionally displayed on the chart.
3. Visual Feedback:
• SMA Line: Plotted in orange (default: 55-period SMA) for trend reference.
• Trade Zone: Highlights the area between the stop-loss and take-profit levels with a semi-transparent green (long) or red (short) background.
• Price Lines: Displays entry price (white), stop-loss (red), take-profit (green), and breakeven level (gray, optional) as horizontal lines during active trades.
• Signal Markers: Triangular markers indicate entry points (green triangle up for long, red triangle down for short).
• Exit Markers: Labels show when a trade hits the take-profit (green checkmark) or stop-loss (red cross).
4. Trade Logic:
• Only one trade is active at a time (long or short).
• Trades are exited when either the stop-loss or take-profit is hit, resetting the indicator for the next signal.
• Ensures signals are only triggered when not already in a trade, avoiding duplicate entries.
Inputs:
• MA Period: Length of the SMA (default: 55).
• ATR Period: Period for ATR calculation (default: 5).
• SL Multiplier: ATR multiplier for stop-loss (default: 1.0).
• TP Multiplier: ATR multiplier for take-profit (default: 5.0).
• Move to Breakeven After: ATR multiplier for breakeven trigger (default: 2.0).
• Show Break Even Line: Option to display the breakeven level (default: true).
• Allow Long Trades: Enable/disable long signals (default: true).
• Allow Short Trades: Enable/disable short signals (default: true).
Use Case:
This indicator is ideal for trend-following traders who want a clear, visual system for entering and exiting trades based on SMA crossovers, with predefined risk and reward levels. It suits both manual and automated trading strategies, providing flexibility to adjust parameters for different markets or timeframes.
Notes:
• The indicator is overlaid on the price chart for easy integration with other analysis tools.
• Users should test and adjust parameters (e.g., MA length, ATR multipliers) to suit their trading style and market conditions.
• The breakeven line is a visual guide; manual adjustment of stops is required as the indicator does not automatically modify trade positions.
This indicator provides a robust framework for disciplined trading with clear entry, exit, and risk management visuals.
ATR Trend Strategy + KAMA FilterATR Trend Strategy with XMA KAMA Filter
Strategy Description
This strategy combines a dynamic ATR trailing stop with an XMA KAMA filter to precisely detect trends and generate reliable entry signals.
It uses a two-step trend confirmation system:
1️⃣ ATR Trailing Stop
Based on the Average True Range (ATR), this trailing stop automatically adapts to market volatility.
It determines whether the market is in a bullish or bearish phase by comparing the current price to the ATR trailing stop level.
2️⃣ KAMA Filter (XMA Version)
KAMA (Kaufman Adaptive Moving Average) provides an additional trend filter.
This XMA version of KAMA avoids the traditional fast/slow parameters and instead dynamically calculates the ratio of signal to market "noise", helping to reduce false signals and over-sensitivity.
How It Works
Long Signal:
Price is above both the ATR trailing stop and the KAMA (XMA) line.
Short Signal:
Price is below both the ATR trailing stop and the KAMA (XMA) line.
What Makes This Strategy Different?
Unlike many classic strategies that rely on simple moving averages, this system uses an adaptive KAMA filter that responds better to changing market conditions and volatility.
The ATR trailing stop automatically adjusts to current market volatility, providing an extra layer of protection against false breakouts.
By combining these tools, this strategy offers:
Precise trend filtering
Avoidance of false breakouts and noise
Dynamic adjustment to market conditions
How to Use
Apply the strategy to any market chart (Forex, stocks, crypto, indices, etc.)
Adjust the ATR and KAMA parameters to match your trading plan
Use the TradingView Strategy Tester to evaluate performance before live trading
Who Is This For?
Swing traders and trend followers
Traders looking for clean, filtered signals with reduced noise
Medium-term traders seeking a system that adapts to market dynamics
Additional Info: Heikin Ashi Compatibility
This strategy is fully compatible with Heikin Ashi candles.
By applying it to a chart with Heikin Ashi candles, traders can further reduce market noise and enhance trend visualization.
The combination of ATR trailing stop + XMA KAMA filter + Heikin Ashi smoothing provides an even cleaner trend-following system, minimizing false signals and improving decision-making clarity.
DTC - Dream Trading ClubDTC - Dream Trading Club Indicator
The DTC - Dream Trading Club is a multi-timeframe trend-following indicator designed to help traders identify high-probability buy and sell opportunities. It combines a structured EMA-based trend detection system with dynamic entry, take-profit, and stop-loss levels, all displayed directly on the chart.
Core Features
EMA-Based Trend Detection using 6 EMAs (30–60)
Automatic Buy/Sell Signal Generation based on trend shifts
Dynamic TP/SL Levels with clear visual labels
Multi-Timeframe Trend Dashboard (1H, 4H, Daily)
Unrealized PnL Tracker assuming 10x leverage
User Guide: TP, SL, and Entry Signals
1. Entry Signal:
A "LONG" or "SHORT" label appears when a clear trend reversal is detected using the EMAs. The entry is taken at the close of the signal candle.
2. Stop-Loss (SL):
The stop-loss is calculated based on price structure:
For LONG positions, SL is set to the lowest low of recent candles (based on selected "Length" setting).
For SHORT positions, SL is set to the highest high of recent candles.
The SL adapts to market volatility via the Tiny, Small, Mid, or Large lookback settings.
3. Take-Profit (TP):
The indicator generates 5 take-profit levels using multiples of the calculated risk (Entry - SL distance):
TP1 = Entry ± 1x Risk
TP2 = Entry ± 2x Risk
TP3 = Entry ± 3x Risk
TP4 = Entry ± 4x Risk
TP5 = Entry ± 5x Risk
These levels allow for strategic scaling out or partial profit-taking based on personal trade management preferences.
How the EMA Logic Works
This indicator uses six Exponential Moving Averages (EMAs): 30, 35, 40, 45, 50, and 60 periods. A trend is considered:
Bullish when the EMAs are stacked in ascending order (shorter EMAs above longer ones)
Bearish when they are stacked in descending order
In addition, the indicator pulls EMA data from three higher timeframes (1H, 4H, and 1D) and compares the fast and slow EMAs to determine broader market direction. This helps filter signals and identify confluence across timeframes.
LANZ Strategy 5.0 [Backtest]🔷 LANZ Strategy 5.0 — Rule-Based BUY Logic with Time Filter, Session Limits and Auto SL/TP Execution
This is the backtest version of LANZ Strategy 5.0, built as a strategy script to evaluate real performance under fixed intraday conditions. It automatically places BUY and SELL trades based on structured candle confirmation, EMA trend alignment, and session-based filters. The system simulates real-time execution with precise Stop Loss and Take Profit levels.
📌 Built for traders seeking to simulate clean intraday logic with fully automated entries and performance metrics.
🧠 Core Logic & Strategy Conditions
✅ BUY Signal Conditions:
Price is above the EMA200
The last 3 candles are bullish (close > open)
The signal occurs within the defined session window (NY time)
Daily trade limit has not been exceeded
If all are true, a BUY order is executed at market, with SL and TP set immediately.
🔻 SELL Signal Conditions (Optional):
Exactly inverse to BUY (below EMA + 3 bearish candles). Disabled by default.
🕐 Operational Time Filter (New York Time)
You can fully customize your intraday window:
Start Time: e.g., 01:15 NY
End Time: e.g., 16:00 NY
The system evaluates signals only within this range, even across midnight if configured.
🔁 Trade Management System
One trade at a time per signal
Trades include a Stop Loss (SL) and Take Profit (TP) based on pip distance
Trade result is calculated automatically
Each signal is shown with a triangle marker (BUY only, by default)
🧪 Backtest Accuracy
This version uses:
strategy.order() for entries
strategy.exit() for SL and TP
strategy.close_all() at the configured manual closing time
This ensures realistic behavior in the TradingView strategy tester.
⚙️ Flow Summary (Step-by-Step)
On every bar, check:
Is the time within the operational session?
Is the price above the EMA?
Are the last 3 candles bullish?
If conditions met → A BUY trade is opened:
SL = entry – X pips
TP = entry + Y pips
Trade closes:
If SL or TP is hit
Or at the configured manual close time (e.g., 16:00 NY)
📊 Settings Overview
Timeframe: 1-hour (ideal)
SL/TP: Configurable in pips
Max trades/day: User-defined (default = 99 = unlimited)
Manual close: Adjustable by time
Entry type: Market (not limit)
Visuals: Plotshape triangle for BUY entry
👨💻 Credits:
💡 Developed by: LANZ
🧠 Strategy logic & execution: LANZ
✅ Designed for: Clean backtesting, clarity in execution, and intraday logic simulation
LANZ Strategy 5.0🔷 LANZ Strategy 5.0 — Intraday BUY Signals, Dynamic Lot Size per Account, Real-Time Dashboard and Smart Execution
LANZ Strategy 5.0 is a powerful intraday tool designed for traders who need a visual-first, data-backed BUY system, enhanced with risk-aware lot size calculation and a real-time performance dashboard. This indicator intelligently detects strong momentum setups and provides visual and statistical clarity throughout the session.
📌 This is an indicator, not a strategy — It does not place trades automatically but provides precise conditions, alerts, and visual guides to support execution.
🧠 Core Logic & Features
BUY Entry Conditions (Signal Engine)
A BUY signal is triggered when:
The current price is above the EMA200 (trend filter)
The last 3 candles are bullish (candle body close > open)
You are within the defined session window (NY time)
When all conditions are met and you haven’t reached the daily trade limit, a signal appears on the chart and an optional alert is triggered.
Operational Hours Filter (NY Time)
You define:
Start time (e.g., 01:15 NY)
End time (e.g., 16:00 NY)
The system only evaluates and executes signals within this period. If a BUY setup occurs outside the window, it’s ignored. The chart is also highlighted with a transparent teal background to visually show active trading hours.
Lot Size Panel with Per-Account Risk Management
Designed for traders managing multiple accounts or capital sources. You can enable up to 5 accounts, each with:
Its own capital
Its own risk percentage per trade
The system uses the defined SL in pips, plus the instrument’s pip value, to calculate the lot size per account. All values are shown in a dedicated panel at the bottom-right, automatically updating with each new trade.
The emojis (🐣🦊🦁🐲🐳) distinguish each account visually.
Trade Visualization with Customizable Lines
When a signal is triggered:
An Entry Point (EP) line is drawn at the candle’s close.
A Stop Loss (SL) line is placed X pips below the entry.
A Take Profit (TP) line is placed Y pips above the entry.
All three lines are fully customizable in style, color, and thickness. You define how many bars the lines should extend.
Outcome Tracking & Real-Time Dashboard
Each trade outcome is measured:
SL hit = –1.00%
TP hit = +3.00%
Manual close = calculated dynamically based on price at close time
Each result is labeled on the chart near its level, and stored.
The top-right dashboard updates in real time:
✅ Number of trades
📈 Cumulative % gain/loss of the day (color-coded)
Alerts You Can Trust:
You’ll get a Buy Alert when a valid signal is formed
You’ll get a Trade Executed Alert when the visual operation is plotted
You’ll get a SL/TP Hit Alert with price and result
You’ll get a Manual Close Alert if the configured time is reached and the trade is still active
⚙️ Step-by-Step Execution Flow
At every bar, the system checks:
Are we within the session time window?
Is price above EMA?
Are the last 3 candles bullish?
✅ If yes:
A BUY signal is plotted
Entry/SL/TP lines are drawn
Lot sizes are calculated and displayed
Trade is added to the daily count
🕐 At the configured Manual Close time (e.g., 16:00 NY):
If the trade is still open, it's closed
A label is added with the exact result in %
💡 Ideal For:
Intraday traders who operate within fixed time sessions
Traders managing multiple accounts or capital pools
Anyone who wants full visual clarity of every decision point
Traders who appreciate dynamic lot size calculation and clean execution tracking
👨💻 Credits:
💡 Developed by: LANZ
🧠 Strategy concept & execution model: LANZ
🧪 Tested on: 1H charts with visual-only execution
📈 Designed for: Clarity, adaptability, and full intraday control
Multi MA Cross SignalsSummary
This script provides a comprehensive view of key medium and long-term moving averages, designed to identify significant trend changes and shifts in market momentum. It plots four essential moving averages for price and generates clear, actionable signals based on both price and volume crossovers.
The primary goal is to visualize the well-known "Golden Cross" and "Death Cross" signals using a 50-day EMA and 200-day SMA, while also incorporating volume analysis to confirm the strength of a potential move.
Features
Four Key Moving Averages:
50-day Price EMA (Yellow): Tracks short-to-medium term trend momentum.
50-day Price SMA (Green): Provides a baseline for the 50-day period.
100-day Price SMA (Blue): Offers a medium-term trend perspective.
200-day Price SMA (Orange): Represents the long-term trend benchmark.
Price Crossover Signals (Trend Change):
B1 (Buy Signal): A "B1" label appears below the price bar when the 50-day Price EMA crosses above the 200-day Price SMA. This is a classic bullish signal, often called a "Golden Cross," indicating a potential shift to a long-term uptrend.
D1 (Sell Signal): A "D1" label appears above the price bar when the 50-day Price EMA crosses below the 200-day Price SMA. This is a classic bearish signal, often called a "Death Cross," suggesting a potential shift to a long-term downtrend.
Volume Crossover Signals (Momentum Confirmation):
B2 (Volume Spike Signal): A "B2" label appears below the price bar when the 50-day Volume EMA crosses above the 100-day Volume SMA, indicating a significant increase in trading activity that can support a new trend.
D2 (Volume Drop Signal): A "D2" label appears above the price bar when the 50-day Volume EMA crosses below the 100-day Volume SMA, suggesting waning interest or momentum.
How to Use
Identify Trend Direction: Use the B1 (bullish) and D1 (bearish) signals as primary indicators for potential long-term trend reversals.
Confirm with Volume: Look for a B2 signal to appear shortly after a B1 signal to confirm that the new uptrend is supported by rising volume. Conversely, a D2 signal can add conviction to a D1 bearish cross.
General Analysis: Use the four moving averages as dynamic levels of support and resistance to complement your trading strategy.
