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.
Medie mobili
WT-FLOW: MTF WaveTrend Trend-Follower📘 Strategy Introduction: WT-FLOW (WaveTrend Trend-Follower)
WT-FLOW is a multi-timeframe trend-following strategy specifically **optimized for the 15-minute timeframe** on the BTC/USDT trading pair. It is designed to help professional users follow buy/sell trends with high precision.
The strategy utilizes a three-tiered time alignment:
- **240min WaveTrend**: Macro trend filter (determines high-timeframe direction)
- **30min WaveTrend**: Momentum confirmation (validates trend continuation)
- **15min WaveTrend**: Signal generation (entries and exits are executed here)
It features an advanced **Trailing Stop** mechanism that includes maximum gain-based tracking logic and percentage-based fallback tolerance. Entry and exit points are marked on the chart with colored labels (🟢🔴❅❄), including bar index information.
⚙️ Technical Features:
- Compatible with Pine Script v5
- Backtestable via the `strategy()` block
- Supports both Long and Short position tracking
- Trailing Stop and Marginal Stop systems work in tandem
⚠️ Disclaimer:
This strategy is based on historical data. It should not be used in live markets without manual confirmation and appropriate risk management. Use is at your own risk.
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.
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.
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment:
Market Momentum (30% weight)
Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA).
A higher value indicates that the market is trading well above its moving average, signaling greed.
Stock Price Strength (20% weight)
Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE.
A greater number of net highs suggests strong market breadth and greed.
Put/Call Options (30% weight)
Uses the 5-day average of the put/call ratio.
A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices.
Market Volatility (20% weight)
Utilizes the VIX index, which measures market volatility.
Lower volatility is associated with greed, as investors are less fearful of large market swings.
Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100:
0–25: Extreme Fear (red)
25–50: Fear (orange)
50–75: Neutral (yellow)
75–100: Greed (green)
Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone.
Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed.
How to Interpret
Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound.
High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction.
Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy.
This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
MACD HTF Crossover SignalsHigher time frame MACD, I like it
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Trading view wants me to elaborate so in my opinion indicators on higher time frames work better on smaller time frames. Good
Samil Dogru SmartTrailing v1.1📘 Samil Dogru SmartTrailing v1.1 – BTCUSDT Optimized Strategy (15-Minute)
Samil Dogru SmartTrailing v1.1 is an advanced trend-tracking and profit-locking strategy, specifically optimized for BTCUSDT on the 15-minute timeframe.
It integrates dynamic price following, intelligent trailing exit after trigger activation, and protective hard-stop loss logic to maximize profit while limiting downside risk.
⚙️ Core Strategy Logic:
Entry Signal: Based on a crossover of HMA100 and HMA200, filtered by the trend direction of HMA500 and HMA1000 (cloud logic).
Trigger Mechanism: When price moves a user-defined percentage (e.g., +1.2%) from the entry, the trailing logic is activated.
Smart Trailing Exit: Once triggered, the strategy tracks new highs (for long) or new lows (for short). A trailing stop is dynamically updated. If price pulls back by the defined margin (e.g., 0.8%), the position exits.
Hard Stop (Pre-Trigger): If price moves adversely by a defined percentage (e.g., 2.5%) before the trigger is hit, the position is forcefully exited to protect capital.
📊 Performance Note:
On BTCUSDT with 15-minute candles, historical testing has shown:
High directional accuracy
Optimized entry and exit timing
Improved profit retention with minimal user intervention
This setup is ideal for semi-automated swing scalping within structured trend conditions.
📎 User Controls:
All percentages are user-defined:
Trigger Threshold (%)
Trailing Margin (%)
Maximum Loss (%) before trigger
Trailing logic is active only after the trigger level is reached. One position at a time (pyramiding=0).
⚠️ Disclaimer:
This strategy is not financial advice. While historical performance is promising, future results are not guaranteed.
Always test in a simulated environment before deploying real capital. Use proper position sizing and risk management.
EMAs + LSMA Cross Alert (Mejorado)his indicator is designed to identify buy and sell signals based on the behavior of multiple exponential moving averages (EMAs) and a Least Squares Moving Average (LSMA). It includes 5 EMAs and one LSMA, with visual and alert features.
📌 Components:
EMA 4 (purple)
EMA 9 (Fuchsia)
EMA 21 (blue)
EMA 50 (Green)
EMA 200 (maroon)
LSMA 30 (Orange)
🔍 Signal Logic:
✅ Buy Signal:
The LSMA (30) must be below both EMA 4 and EMA 9.
A bullish crossover occurs: EMA 4 crosses above EMA 9.
Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation.
❌ Sell Signal:
The LSMA (30) must be above both EMA 4 and EMA 9.
A bearish crossover occurs: EMA 4 crosses below EMA 9.
Only one signal is triggered per crossover, avoiding repeated alerts during trend continuation.
🖥️ Visual Features:
Option to show/hide each EMA and the LSMA.
Buy/Sell markers appear at cross points.
A white background highlight marks the candle where the signal occurs (optional).
Visuals scale dynamically with the chart zoom and axes.
🔔 Alerts:
Custom alert conditions for Buy and Sell.
Alerts can trigger push notifications to the TradingView mobile app, email, or webhook.
Configured to avoid repeating alerts unless the trend resets and a new valid crossover occurs.
Auto-Length Anchored Multiple EMA (Hour-Based)# Auto-Length Anchored Multiple EMA (Hour-Based)
## Overview
This advanced EMA indicator automatically calculates Exponential Moving Average lengths based on the time elapsed since user-defined anchor dates. Unlike traditional fixed-length EMAs, this indicator dynamically adjusts EMA periods based on actual trading hours, making it ideal for event-based analysis and time-sensitive trading strategies.
## Key Features
### 🎯 **Dual Mode Operation**
- **Auto Mode**: EMA length automatically calculated from anchor date to current time
- **Manual Mode**: Traditional fixed-length EMA calculation
- Switch between modes independently for each EMA
### 📊 **Multiple EMA Support**
- Up to 4 independent EMAs with individual configurations
- Each EMA can have its own anchor date and settings
- Individual enable/disable controls for each EMA
### ⏰ **Smart Time Calculation**
- Accounts for actual trading hours (customizable)
- Weekend exclusion with Saturday trading option (for markets like NSE/BSE)
- Hour multiplier for fine-tuning EMA sensitivity
- Minimum EMA length protection to prevent calculation errors
### 🎨 **Visual Enhancements**
- **Dynamic Fill Colors**: Fill between EMA1 and EMA3 changes color based on price position
- **Customizable Colors**: Individual color settings for each EMA
- **Anchor Visualization**: Optional vertical lines and labels at anchor dates
- **Real-time Table**: Shows current EMA lengths, modes, and values
## Configuration Options
### Trading Session Settings
- **Trading Hours Per Day**: Set your market's trading hours (1-24)
- **Trading Days Per Week**: Configure for different markets (5 for Mon-Fri, 6 for Mon-Sat)
- **Include Saturday**: Enable for markets that trade on Saturday
- **Hour Multiplier**: Fine-tune EMA sensitivity (0.1x to 10x)
### EMA Configuration
- **Anchor Dates**: Set specific start dates for each EMA calculation
- **Manual Lengths**: Override with traditional fixed periods when needed
- **Enable/Disable**: Individual control for each EMA
- **Color Customization**: Personalize appearance for each EMA
### Visual Options
- **Fill Settings**: Toggle and customize fill colors between EMAs
- **Anchor Lines**: Show vertical lines at anchor dates
- **Anchor Labels**: Display formatted anchor date information
- **Length Table**: Real-time display of current EMA parameters
## Use Cases
### 📈 **Event-Based Analysis**
- Anchor EMAs to earnings announcements, policy decisions, or market events
- Track price behavior relative to specific time periods
- Analyze momentum changes from key market catalysts
### 🕐 **Time-Sensitive Trading**
- Perfect for intraday strategies where timing is crucial
- Automatically adjusts to market hours and trading sessions
- Eliminates manual EMA length recalculation
### 🌍 **Multi-Market Support**
- Configurable for different global markets
- Saturday trading support for Asian markets
- Flexible trading hour settings
## Technical Details
### Calculation Method
The indicator calculates trading bars elapsed since anchor date using:
```
Total Trading Bars = (Days Since Anchor × Trading Days Per Week ÷ 7) × Trading Hours Per Day × Hour Multiplier
```
### EMA Formula
Uses standard EMA calculation with dynamically calculated alpha:
```
Alpha = 2 ÷ (Current Length + 1)
EMA = Alpha × Current Price + (1 - Alpha) × Previous EMA
```
### Weekend Handling
- Automatically excludes weekends from calculation
- Optional Saturday inclusion for specific markets
- Accurate trading day counting
## Installation & Setup
1. **Add to Chart**: Apply the indicator to your desired timeframe
2. **Set Anchor Dates**: Configure anchor dates for each EMA you want to use
3. **Adjust Trading Hours**: Set your market's trading session parameters
4. **Customize Appearance**: Choose colors and visual options
5. **Enable Features**: Turn on fills, anchor lines, and information table as needed
## Best Practices
- **Anchor Selection**: Choose significant market events or technical breakouts as anchor points
- **Multiple Timeframes**: Use different anchor dates for short, medium, and long-term analysis
- **Hour Multiplier**: Start with 1.0 and adjust based on market volatility and your trading style
- **Visual Clarity**: Use contrasting colors for different EMAs to improve readability
## Compatibility
- **Pine Script Version**: v6
- **Chart Types**: All chart types supported
- **Timeframes**: Works on all timeframes (optimal on intraday charts)
- **Markets**: Suitable for stocks, forex, crypto, and commodities
## Notes
- Indicator starts calculation from the anchor date forward
- Minimum EMA length prevents calculation errors with very recent anchor dates
- Table display updates in real-time showing current EMA parameters
- Fill colors dynamically change based on price position relative to EMA1
---
*This indicator is perfect for traders who want to combine the power of EMAs with event-driven analysis and precise time-based calculations.*
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.
CM_VixFix_RSI_HMA200_TrailStop_vFinal📌 CM_VixFix_RSI_HMA200_TrailStop – vFinal | BTC 30-Minute Strategy (Long & Short)
This strategy combines volatility-based market shock detection (Williams Vix Fix), trend confirmation (HMA200), and momentum filtering (RSI) to generate high-probability trade entries. It is engineered for BTC/USDT on the 30-minute timeframe, with carefully tuned parameters through extensive backtesting.
🎯 Core Components:
WVF (Williams Vix Fix): Identifies volatility spikes, acting as a proxy for oversold conditions or panic drops.
RSI (Relative Strength Index): Generates directional momentum signals, with separate thresholds for long and short entries.
HMA200: Filters trades based on the prevailing market trend. Trades are only allowed in the direction of HMA slope and position.
ATR-Based Trailing Stop Engine: Activates after a minimum profit threshold is hit. Combines dynamic trailing logic with a Hard Stop (maximum loss limit) to mitigate risk.
⚠️ Short-Side Challenges & Solutions
During development, the short-side trades exhibited a lower win rate, a common behavior in crypto bull-biased markets. To address this, we implemented:
RSI trigger reduced to 20 to capture only high-momentum sell-offs.
Dual confirmation: RSI must also be below its EMA(21) and price below EMA(100).
MaxBars filter (10 candles): Prevents multiple short entries in tight ranges or low-volatility zones.
As a result:
Short trades now yield a Risk/Reward ratio above 3.4
Average short trade profit is ~3x the average loss, making short entries valuable despite lower hit rate.
📊 Performance Summary (Backtest: BTCUSDT, 30-Min, July 2024–July 2025)
Metric Long Short Overall
Total Trades 401 50 451
Win Rate 49.6% 30.0% 47.4%
Avg PnL 311 USDT 1,229 USDT 413 USDT
Risk/Reward (Avg K/L) 1.05 3.48 1.16
🚨 Disclaimer
This strategy is not a plug-and-play black box. While signals are statistically validated, we strongly recommend using this tool in conjunction with:
Volume and time-of-day filters
Fundamental/macro overlays (especially around Fed announcements or CPI data)
A broader risk management framework
Note: This strategy has been optimized exclusively for BTC/USDT on the 30-minute timeframe. If applied to other assets or timeframes, recalibration is necessary.
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!**
SMA Crossing Background Color (Multi-Timeframe)When day trading or scalping on lower timeframes, it’s often difficult to determine whether the broader market trend is moving upward or downward. To address this, I usually check higher timeframes. However, splitting the layout makes the charts too small and hard to read.
To solve this issue, I created an indicator that uses the background color to show whether the current price is above or below a moving average from a higher timeframe.
For example, if you set the SMA Length to 200 and the MT Timeframe to 5 minutes, the indicator will display a red background on the 1-minute chart when the price drops below the 200 SMA on the 5-minute chart. This helps you quickly recognize that the trend on the higher timeframe has turned bearish—without having to open a separate chart.
デイトレード、スキャルピングで短いタイムフレームでトレードをするときに、大きな動きは上に向いているのか下に向いているのかトレンドがわからなくなることがあります。
その時に上位足を確認するのですが、レイアウトをスプリットすると画面が小さくて見えにくくなるので、バックグラウンドの色で上位足の移動平均線では価格が上なのか下なのかを表示させるインジケーターを作りました。
例えば、SMA Length で200を選び、MT Timeframeで5分を選べば、1分足タイムフレームでトレードしていて雲行きが怪しくなってくるとBGが赤になり、5分足では200線以下に突入しているようだと把握することができます。
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.
EMA Shadow Trading_TixThis TradingView indicator, named "EMA Shadow Trading_Tix", combines Exponential Moving Averages (EMAs) with VWAP (Volume-Weighted Average Price) and a shadow fill between EMAs to help traders identify trends, momentum, and potential reversal zones. Below is a breakdown of its key functions:
1. EMA (Exponential Moving Average) Settings
The indicator allows customization of four EMAs with different lengths and colors:
EMA 1 (Default: 9, Green) – Short-term trend filter.
EMA 2 (Default: 21, Red) – Medium-term trend filter.
EMA 3 (Default: 50, Blue) – Mid-to-long-term trend filter.
EMA 4 (Default: 200, Orange) – Long-term trend filter (often used as a "bull/bear market" indicator).
Key Features:
Global EMA Source: All EMAs use the same source (default: close), ensuring consistency.
Toggle Visibility: Each EMA can be independently shown/hidden.
Precision Calculation: EMAs are rounded to the minimum tick size for accuracy.
Customizable Colors & Widths: Helps in distinguishing different EMAs easily.
How Traders Use EMAs:
Trend Identification:
If price is above all EMAs, the trend is bullish.
If price is below all EMAs, the trend is bearish.
Crossovers:
A shorter EMA crossing above a longer EMA (e.g., EMA 9 > EMA 21) suggests bullish momentum.
A shorter EMA crossing below a longer EMA (e.g., EMA 9 < EMA 21) suggests bearish momentum.
Dynamic Support/Resistance:
EMAs often act as support in uptrends and resistance in downtrends.
2. Shadow Fill Between EMA 1 & EMA 2
The indicator includes a colored fill (shadow) between EMA 1 (9-period) and EMA 2 (21-period) to enhance trend visualization.
How It Works:
Bullish Shadow (Green): Applies when EMA 1 > EMA 2, indicating a bullish trend.
Bearish Shadow (Red): Applies when EMA 1 < EMA 2, indicating a bearish trend.
Why It’s Useful:
Trend Confirmation: The shadow helps traders quickly assess whether the short-term trend is bullish or bearish.
Visual Clarity: The fill makes it easier to spot EMA crossovers and trend shifts.
3. VWAP (Volume-Weighted Average Price) Integration
The indicator includes an optional VWAP overlay, which is useful for intraday traders.
Key Features:
Customizable Anchor Periods: Options include Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits.
Hide on Higher Timeframes: Can be disabled on 1D or higher charts to avoid clutter.
Adjustable Color & Width: Default is purple, but users can change it.
How Traders Use VWAP:
Mean Reversion: Price tends to revert to VWAP.
Trend Confirmation:
Price above VWAP = Bullish bias.
Price below VWAP = Bearish bias.
Breakout/Rejection Signals: Strong moves away from VWAP may indicate continuation or exhaustion.
4. Practical Trading Applications
Trend-Following Strategy:
Long Entry: Price above all EMAs + EMA 1 > EMA 2 (green shadow). Optional: Price above VWAP for intraday trades.
Short Entry: Price below all EMAs + EMA 1 < EMA 2 (red shadow). Optional: Price below VWAP for intraday trades.
Mean Reversion Strategy:
Pullback to EMA 9/21/VWAP: Look for bounces near EMAs or VWAP in a strong trend.
Multi-Timeframe Confirmation:
Higher timeframe EMAs (50, 200) can be used to filter trades (e.g., only trade longs if price is above EMA 200).
Conclusion
This EMA Shadow Trading Indicator is a versatile tool that combines:
✔ Multiple EMAs for trend analysis
✔ Shadow fill for quick trend visualization
✔ VWAP integration for intraday trading
It is useful for swing traders, day traders, and investors looking for trend confirmation, momentum shifts, and dynamic support/resistance levels.
5,8,10,13 EMA Cluster CrossThis is a rough cross signal or signals for the 5,8,10,13 emas to be bullish or bearish, a secondary caution indicator is programed in for the 5,8,10 cross like a yellow caution light. This is not timeframe specific and this indicator is meant to show momentum changes near pivotal points.
Any updates and improvement welcome.
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!
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.
MTF_MA RibbonThis script plots a ribbon of Moving Averages for Daily, Weekly and Monthly timeframes and helps in Multi-timeframe analysis of securities for swing & positional trades. once applied to chart, the moving averages change automatically according to the selected timeframe.
Following are the default moving averages :
Daily TF EMAs: 5D, 10D, 20D
Daily TF SMAs: 50D, 100D, 150D, 200D
Weekly TF SMAs: 10W, 20W, 30W, 40W
Monthly TF SMAs: 3M, 5M, 8M, 11M
Normalized Volume EMA FilterTrade towards volume at liquidity levels (Trend Liquidity Zones indi), unless value states otherwise.
RSI-SETBIGCAP**RSI-SETBIGCAP (Smoothed EMA)**
This indicator calculates the average RSI of 15 large-cap Thai stocks listed on the SET index (e.g., PTT, AOT, KBANK, DELTA, etc.).
To reduce noise and provide a cleaner signal of market-wide momentum, this script plots only the **5-period Exponential Moving Average (EMA)** of the aggregated RSI.
The raw RSI value is computed internally but intentionally hidden from the chart using `display=display.none`. This is designed to focus the trader's attention on the smoothed market momentum without short-term fluctuations.
Useful for macro-level analysis of Thai equities and market sentiment.
Levels:
- Overbought = 60
- Oversold = 40
