RSI + VWAP + MA + Volume Signalsa script using a good level of rsi with much filtrations from MA and vwap
Indicadores e estratégias
Fundamental Fair Value RangeFundamental Fair Value Range (FFV Range)
Purpose:
This indicator aims to estimate a company's intrinsic fair value range based on its historical valuation patterns and current financial health. It analyzes multiple fundamental valuation metrics to provide a comprehensive perspective, helping traders identify potential overvaluation or undervaluation relative to the company's own historical norms.
How It Works:
Data Collection: The script gathers historical financial data for the company over a user-defined number of past quarters ( Number of Quarters to Average ). It retrieves key metrics like Earnings Per Share (EPS), Book Value Per Share (BVPS), Sales Per Share, Free Cash Flow (FCF) Per Share, Tangible Book Value Per Share (TBVPS), EBITDA, Operating Cash Flow (OCF) Per Share, Enterprise Value (EV), and Net Debt. It also pulls current TTM (Trailing Twelve Months) data, forward estimates (EPS, Sales), risk metrics (Debt-to-Equity, Altman Z-Score), and dividend yield.
Historical Ratio Calculation: For each of the past quarters where data is available, the script calculates standard valuation ratios (P/E, P/B, P/S, P/FCF, P/TBV, EV/EBITDA, P/CF) using the closing price at that time and the relevant financial data. Ratios are capped ( Maximum Ratio Cap ) to prevent extreme outliers from skewing results.
Central Tendency: The script calculates the historical central tendency (either the median or mean , selectable by the user) for each valuation ratio based on the collected historical data points. Median is generally preferred to reduce the impact of outliers, but the mean option is available.
Individual Metric Fair Values: Using the current financial data (TTM EPS, BVPS, Sales/Share, etc.) and the calculated historical average ratio , the script estimates a fair value based on each individual metric . For example:
P/E Fair Value = Current EPS * Historical Average P/E Ratio
P/S Fair Value = Current Sales Per Share * Historical Average P/S Ratio
(...and so on for P/B, P/FCF, P/TBV, and P/CF.)
Forward-Looking Adjustments & Blending:
P/E: Calculates fair value using both TTM EPS and Forward EPS estimates. These two values are then blended (averaged) to incorporate future expectations. If only one is available, that one is used.
EV/EBITDA: Calculates fair value based on TTM EBITDA and also based on estimated future EBITDA (derived from Sales Estimates and historical EBITDA margin). These are then blended . The calculation converts the Enterprise Value back to an estimated equity value per share by subtracting Net Debt.
P/S: Also calculates a forward-looking P/S fair value using Sales Estimates, which is considered alongside the TTM version when weighting.
Weighted Composite Fair Value:
The script combines the individual fair value estimates into a single composite value using a weighted average .
User-Defined Weights: You assign weights to each metric (P/E, P/S, P/FCF, P/B, P/TBV, EV/EBITDA, P/CF) via the script settings.
Dynamic Weighting: The weights for P/E, P/S, and P/FCF can be set differently depending on whether the company's current TTM EPS is positive or negative. This allows the model to emphasize sales or cash flow metrics more heavily for unprofitable companies, where P/E is less meaningful.
Risk Adjustment: The composite fair value is adjusted downwards (multiplied by 0.9 for each condition met) if:
Debt-to-Equity ratio exceeds 1.5 (indicating higher leverage risk).
Altman Z-Score is below 1.8 (indicating higher bankruptcy risk).
Dividend Adjustment: The risk-adjusted fair value is then potentially increased based on the company's dividend yield. The yield is added to the value (up to a maximum adjustment of 5% - MAX_DIV_ADJ ) to reflect the value returned to shareholders via dividends. Final Fair Value = Risk-Adjusted Value * (1 + Capped Dividend Yield) .
Confidence Range: A range is calculated around the Final Fair Value. This range is determined by the standard deviation of the individual fair value components that were actually used (had valid data and positive weights) in the composite calculation. A wider range suggests less agreement between the different valuation methods.
Valuation Signal: The script compares the current closing price to the calculated Final Fair Value and the Confidence Range, using Average True Range (ATR) based thresholds near the fair value:
Very Undervalued: Price is below the Lower Bound of the confidence range.
Undervalued: Price is below the Final Fair Value minus an ATR-based buffer.
Fairly Valued: Price is near the Final Fair Value (within the ATR buffer).
Overvalued: Price is above the Final Fair Value plus an ATR-based buffer.
Very Overvalued: Price is above the Upper Bound of the confidence range.
Features & Customization:
Multi-Metric Analysis: Incorporates P/E, P/B, P/S, P/FCF, P/TBV, EV/EBITDA, and P/CF.
Historical Basis: Choose Median or Mean for historical ratio calculation and set the lookback period (number of quarters).
Flexible Weighting: Customize the importance of each metric. Crucially, set different weights for P/E, P/S, and P/FCF based on profitability (EPS > 0 or EPS ≤ 0).
Forward Data Integration: Blends TTM and forward estimates for P/E and EV/EBITDA.
Risk & Dividend Adjustments: Automatically discounts for high debt/low Altman Z-score and premiums for dividend yield (capped).
Clear Visualization:
Plots the Final Fair Value line on the chart.
Plots the Upper and Lower Confidence Bounds (based on standard deviation).
Fills the area between bounds to show the Confidence Range.
Informative Data Table:
Displays the calculated fair value for key individual metrics, their historical average ratios, and current underlying financial values (like EPS, BVPS).
Shows risk metrics (Debt/Equity, Altman Z).
Clearly presents the Final Composite Fair Value, the Confidence Range, the current Valuation Signal (e.g., "Undervalued"), and the percentage difference between the current price and the fair value.
Simple/Full Mode: Option to display a condensed table with only the summary results or the full detailed breakdown.
Display Options: Adjust table position, text size, and switch between light/dark themes for better readability.
How to Use:
Apply the indicator to a stock chart on TradingView.
Configure Settings:
Go into the indicator settings ( Gear Icon ⚙️).
- Calculation Parameters: Set the Number of Quarters to Average (e.g., 20 for 5 years) and choose Use Mean Instead of Median if desired. Adjust Maximum Ratio Cap if needed.
- Valuation Weights: This is crucial. Adjust the weights based on the industry, company maturity, and your valuation philosophy. Consider giving higher weights to metrics commonly used for that sector. Use the separate weights for positive/negative EPS scenarios thoughtfully. For instance, for unprofitable tech stocks, you might assign zero weight to P/E and higher weights to P/S or EV/EBITDA (negative EPS weights).
- Display Options: Choose table mode, position, size, and theme.
Interpret the Output:
- Observe the plotted Fair Value line relative to the current price.
- Note the Confidence Range (shaded area). A wider range indicates more uncertainty or divergence between valuation methods.
- Check the Valuation status in the table (e.g., "Undervalued", "Overvalued").
- Use the % from Fair Value in the table for a quick gauge of deviation.
- Review the individual metric fair values in the full table mode to understand which factors are driving the composite value.
Considerations:
Historical Data Dependence: The model heavily relies on past valuation patterns repeating. Significant changes in a company's business model, market, or industry may make historical ratios less relevant.
Parameter Sensitivity: The calculated fair value is sensitive to the chosen weights and the historical lookback period. Experiment and use values that make sense for your analysis style and the specific stock.
Data Quality: The accuracy of the output depends entirely on the accuracy and availability of the underlying financial data provided by TradingView for the specific ticker. Data may be missing or contain errors for some stocks.
Not Financial Advice: This indicator provides a model-based estimation of fair value. It should be used as one tool among many in your investment decision-making process, not as a sole buy/sell signal. Always conduct thorough due diligence.
Swing Trade Strategy - Long Entry (100% Equity)Long swing trade on Daily chart using Elder's indicators
Dynamic Momentum Bands | OpusDynamic Momentum Bands | Opus
Technical Indicator Overview
The Dynamic Momentum Bands indicator is a sophisticated technical analysis tool 🛠️ that fuses multiple methodologies—RSI (Relative Strength Index), volatility analysis, and adaptive moving averages—to deliver a comprehensive view of market momentum and trend dynamics. This indicator provides traders with a nuanced, actionable perspective on evolving market conditions.
Key Features 🌟
Adaptive Band Calculation ✅ : Dynamically adjusts band width based on price momentum for responsive trend tracking.
Integrated RSI-Driven Volatility Scaling 📊 : Incorporates RSI to modulate band sensitivity, reflecting market volatility shifts.
Multiple Moving Average Options ⚙️ : Supports EMA, SMA, and VWMA for customizable band construction.
Smooth Gradient-Based Visualization 🎨 : Features fluid, color-coded bands for intuitive trend interpretation.
Optional Price Bar Coloring 🌈 : Enhances trend identification with color-coded price bars alongside the bands.
Usage Guidelines 📋
Bullish Trend (Blue Bands) ✅ : Enter long positions when price moves above the bands and RSI approaches or exceeds 50, signaling upward momentum.
Bearish Trend (Pink Bands) ❌ : Consider exiting or shorting when price falls below the bands and RSI drops toward 50 or lower, indicating weakening momentum.
Momentum Shifts : Monitor color transitions and gradient intensity to anticipate trend changes ⚠️.
Volatility Insights : Observe widening bands for breakouts or narrowing bands for consolidation, using RSI context to confirm 💪.
Customizable Settings ⚙️
Price Source : Select the price data (e.g., close, high/low) for calculations 🔧.
RSI Length : Adjust the RSI period (1-50) to suit your timeframe 🎚️.
Band Length : Set the moving average period (5-100) for band smoothing 📏.
Volatility Multiplier : Fine-tune band width to match market conditions 📐.
Band Type : Choose between EMA, SMA, or VWMA for tailored analysis 🔄.
Visual Options : Toggle bar coloring, gradient styles, and color transitions for a personalized display 🖌️.
Applications 🌍
The Dynamic Momentum Bands | Opus is a versatile tool for traders aiming to capture trends and assess volatility with precision. Its integration of RSI-driven scaling, adaptive bands, and visual clarity makes it ideal for trend-following strategies, breakout detection, and market context analysis across diverse trading environments 💼.
Technical Methodology (Bonus Section) 🔍
1. Momentum Calculation :
- Computes RSI with a customizable length.
- Adjusts band volatility based on RSI's distance from the 50 level.
2. Band Construction :
- Applies the selected moving average to the price source.
- Calculates deviations using ATR (Average True Range) for band width.
- Smooths band edges for enhanced visual readability.
All under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) © 2025 Opus Capital 💼.
Market Flow Exit Alerts On ChartThis Market Flow exit signals measures buying and selling pressure using price and volume data.
These signals are designed to help traders lock in profits or avoid reversals by identifying when market momentum may be shifting.
These are Exit Only Signals - No entry signals are given, this is only to help you consider when it may be time to get out of the current trend in the market.
MA Smoothed RSI For Loop | OpusMA Smoothed RSI For Loop | Opus
Technical Indicator Overview
The MA Smoothed RSI For Loop | Opus is an innovative technical tool 🛠️ that combines traditional RSI with multiple moving average smoothing options and a unique for-loop calculation method. This indicator provides enhanced trend detection and momentum analysis by applying customizable moving averages to the RSI calculation and implementing a weighted comparison system across multiple timeframes.
Key Features 🌟
• Multi-MA Smoothing Options ✅: Supports 8 different moving average types (EMA, SMA, WMA, VWMA, HMA, RMA, DEMA, or None) for RSI smoothing 📊
• Weighted For-Loop Analysis 🔄: Implements a sophisticated loop calculation that compares current values against historical data with optional weighting ⚡
• Dynamic Color Signals 🎨: Features customizable color themes (Synthwave, Origins, Outrun, Lush, Eighties, Sapphire, Scarlet Blues) for enhanced visual interpretation 🎯
• Comprehensive Dashboard 📊: Includes a detailed information panel with signal strength, trend direction, and duration metrics 📈
Usage Guidelines 📋
• Bullish Signal (Above Upper Threshold) ✅: Enter long positions when the indicator crosses above the upper threshold (default 40) 🚀
• Bearish Signal (Below Lower Threshold) ❌: Consider short positions when the indicator falls below the lower threshold (default -40) 🛑
• Trend Confirmation : Use the weighted for-loop calculation to confirm trend strength and direction 💪
• Signal Stars : Watch for decorative signal markers that appear at trend changes ⭐
Customizable Settings ⚙️
RSI Settings :
• Length : Adjust the RSI calculation period (default: 14) 🔧
• Source : Select price source for RSI calculation (default: close) 📊
Moving Average Options :
• Type : Choose from 8 different MA types for smoothing 📈
• Smooth Length : Set the period for MA smoothing (default: 3) ⚙️
For Loop Parameters :
• Range : Define the comparison range (default: 1 to 50) 🔄
• Weighted Calculation: Toggle weighted vs. unweighted comparison 🎚️
Threshold Settings :
• Upper Threshold: Adjust bullish signal level (default: 40) 📈
• Lower Threshold: Adjust bearish signal level (default: -40) 📉
Applications 🌍
The MA Smoothed RSI For Loop | Opus is particularly effective for:
• Trend identification and confirmation across multiple timeframes
• Momentum analysis with reduced noise through MA smoothing
• Entry and exit signal generation with customizable sensitivity
• Market regime detection through the weighted for-loop calculation
Technical Methodology (Bonus Section) 🔍
1. RSI Calculation :
• Computes traditional RSI using the specified price source and length
• Applies the selected moving average type to smooth the RSI values
2. For-Loop Analysis :
• Compares current values against historical data within the specified range
• Implements optional weighting to give more importance to recent price action
3. Signal Generation :
• Generates signals based on threshold crossings
• Calculates trend strength and duration for additional confirmation
The indicator includes built-in alerts for both long and short signals, a customizable dashboard with three display styles (Minimal, Standard, Full), decorative elements like pulse effects and signal stars for enhanced visualization, and supports multiple color themes for different visual preferences.
All under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) © 2025 Opus Capital 💼.
EZLIN-Tabish-Short-Trade-only-4APR25-8PMonly for educationonly for education only for education only for education only for education
RRBOXI spent three hours modifying this script. It's all in Chinese but I don't want to translate it. Please use Google Translate. It's very simple. Click on when to enter the market and enter the stop loss, and the RR ratio will be calculated. You can also adjust the parameters yourself. The leverage and order amount can also be adjusted. Come on and hope you can succeed.
MTF PRO ScreenerWell as we all know most of the time we find difficulty in tracking major indices/ instruments/ securities / Forex pairs / commodities on multi timeframe to figure the trade and many time when we realize the trade and we got late in entry and hamper our chances to get great R:R, so, this Indicator is your answer for the same in real time!
This screener will help you track 5 indices/ instruments/ securities / Forex pairs / commodities of your choice on multi timeframe i.e. 4 timeframes of your choice in Single screen.
Usage
• Customizable Table and Style settings
• Customizable indices/ instruments/ securities / Forex pairs / commodities you want select of
your choice up to 5.
• Customizable Time frame of Indicators in Table. Can change to higher or lower TF other than the chart time frame
• This will help to monitor the performance of various scripts.
Dashboard :
Shows Values of indices/ instruments/ securities / Forex pairs / commodities you want select of your choice upto 5 on different Timeframes.
You can customize it according to your needs for the markets/indexes you trade in.
Interpretation :-
TR: Trend based on RSI on basis of calculation I did to figure out overall trend on particular timeframe.
How to Read:
1. Green - Bullish
2. Blue - Uptrend
3. Red - Bearish
4. Orange - Downtrend
5. Gray background/Black light- No Trend
BB: Bollinger Band and VWAP: Volume weighted average Price
BB and VWAP Readings on Dashboard:
Bullish side
Green -> Bull Blast Upside
Blue - > Uptrend
Bearish Side
Orange -> Downtrend
Red -> Bear Blast Downside
Feel free to contribute/comment changes if any!
DEMA SuperTrend | OpusDEMA SuperTrend | Opus
Technical Indicator Overview
The DEMA SuperTrend | Opus is an advanced trend-following indicator 🛠️ that enhances the traditional Supertrend with Double Exponential Moving Average (DEMA) smoothing for improved responsiveness and reduced lag. Overlaying directly on the price chart, this indicator offers dynamic trend detection with customizable themes, making it a versatile tool for traders navigating market movements.
Key Features 🌟
DEMA-Enhanced Supertrend ✅: Integrates DEMA smoothing (default length: 9) with Supertrend calculations for sharper trend signals.
Adaptive Trend Lines 📉: Plots uptrend and downtrend lines that adjust based on price action and volatility, with customizable color themes.
Buy & Sell Signals 🚦: Marks entry points with ▲ for long signals and ▼ for short signals when trend direction shifts.
Gradient Visualization 🎨: Features a multi-layered gradient fill between the Supertrend line and price, reflecting trend intensity with a thematic color scheme.
Customizable Themes 💡: Offers seven visual themes (Synthwave, Outrun, Lush, Eighties, Sapphire, Scarlet Blues, Origins) to personalize the display.
Custom Alerts 🔔: Provides real-time notifications for long and short signals to keep traders informed.
Usage Guidelines 📋
Long Signal (▲) ✅: Enter long positions when the trend shifts to an uptrend (marked by ▲), indicated by the uptrend line, suggesting bullish momentum.
Short Signal (▼) ❌: Exit or short when the trend shifts to a downtrend (marked by ▼), supported by the downtrend line, signaling bearish momentum.
Trend Confirmation: Follow the Supertrend line’s direction—uptrend for bullish, downtrend for bearish—to align with market trends.
Volatility Insight: Monitor gradient intensity—darker fills indicate stronger trends, while lighter fills suggest weakening momentum.
Customizable Settings ⚙️
Supertrend Parameters: Adjust Supertrend length (default: 2) and multiplier (default: 3.35) to control band sensitivity 🔧.
DEMA Settings: Set DEMA length (default: 9) and select the source (default: HLC3) for smoothing 🎚️.
Visualization Theme: Choose from Synthwave, Outrun, Lush, Eighties, Sapphire, Scarlet Blues, or Origins to customize colors 📏.
Gradient Options: Modify gradient layer count (default: 5) and opacity (max: 50) for a tailored visual effect 🖌️.
Applications 🌍
The DEMA SuperTrend | Opus is ideal for traders seeking a responsive, visually appealing tool for trend-following strategies. Its DEMA-enhanced design, thematic customization, and gradient visualization make it perfect for identifying trend direction, timing entries/exits, and adapting to various market conditions.
All under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0) © 2025 Opus Capital 💼.
MA CrossMA Cross over with Alert,MA Cross over with Alert MA Cross over with AlertMA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with AlertMA Cross over with Alert,MA Cross over with Alert MA Cross over with AlertMA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with AlertMA Cross over with Alert,MA Cross over with Alert MA Cross over with AlertMA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert MA Cross over with Alert
ORB Strategy - 1st Breakout + Success Only15m ORB Breakout (white) with 20(+,-) Point Target indicating (green)
BTC High-Reliability Candlestick Patterns🔍 BTC High-Reliability Candlestick Patterns
This script highlights bullish and bearish candlestick patterns based on their reliability level (High / Moderate) and trend role (Reversal / Continuation). It's optimized for intraday traders on BTC.
✅ Key Features
📊 Legend Overlay: Visual legend with emoji and color codes for clarity.
⏱️ Timeframe Restriction: Works only on intraday charts — 2min, 3min, 8min, 10min, 15min, 30min, 60min.
🔄/🔁 Pattern Types:
🔄 Reversal patterns
🔁 Continuation patterns
🎯 Reliability Levels & Colors:
🟩 BuH = High Bullish (Lime Green)
🟢 BuM = Moderate Bullish (Dark Green)
🟥 BeH = High Bearish (Light Red)
🔴 BeM = Moderate Bearish (Dark Red)
🚨 Built-in alerts & box/label visualizations for fast recognition.
📈 Patterns Included:
Bullish High: Morning Star, Three Inside Up, Bullish Engulfing, etc.
Bullish Moderate: Stick Sandwich, Ladder Bottom, Piercing Line, etc.
Bearish High: Evening Star, Three Crows, Bearish Engulfing, etc.
Bearish Moderate: Harami Cross, In Neck, Side By Side White Lines, etc.
(Its open source I used Claude AI and Chat GPT to create the whole code)
Triple RSI DivergenceTriple rsi divergence
Sure! Here's a clear explanation in English of the Triple RSI Divergence Pine Script I shared earlier:
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Explanation of the Triple RSI Divergence Pine Script
This Pine Script is designed to detect triple divergence patterns between the RSI (Relative Strength Index) and price action, which can signal potential trend reversals.
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What is Triple Divergence?
Triple divergence occurs when price creates three consecutive higher highs (in an uptrend) or lower lows (in a downtrend), while the RSI moves in the opposite direction — forming lower highs or higher lows respectively.
This pattern is considered a strong reversal signal because it indicates momentum is weakening despite price continuing its trend.
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What This Script Does:
Calculates RSI (14-period)
Identifies three recent highs/lows in price and RSI
Checks for:
Bearish triple divergence: price makes 3 higher highs, RSI makes 3 lower highs.
**Bullish
Calculate Lot Size- with comissionThe indicator created calculates the value of the ideal lot discounting the commission paid to the prop. For example, if your stop is $300 (let's consider 1 pip to make it easier, which would be 30 lots), you would actually pay $300+ the prop's commission, let's assume $100. Now, using the indicator, it would calculate your stop, minus the configured commission. Assuming your commission is $5 per lot, your ideal lot will be $20, not $30. Therefore, you are lowering $300 from your bankroll, not $300 + the commission, which would be more than $400.
MACD Divergences on Histogram - XpDevThis indicator plots MACD divergences based on histogram peaks.
The color of the MACD histogram changes when it rises or falls above or below the zero line with different colors.
Option to plot divergences on the chart.
Option to set sifferent color, text and format settings for divergences.
Option to display divergence length
Option to limit the maximum number of visible divergences
Option to display only BULL or BEAR divergences
Option to hide HIDDEN divergences
Option to hide information labels
Option to change the position of the information labels
Option to show divergence strength (experimental)
CCI MR-TDescription:
This advanced indicator enhances the traditional Commodity Channel Index (CCI) by integrating two powerful tools:
🔹 CCI: Measures momentum and identifies overbought (>100) and oversold (<-100) conditions based on the hlc3 price source.
🔹 WMA (Weighted Moving Average): Smooths the CCI line using a 14-period WMA for clearer trend direction.
🔹 Bollinger Bands on CCI: Applies a 20-period SMA with ±2 standard deviations to visualize CCI volatility and potential reversal zones.
Visual Highlights:
Background turns red when CCI > 100 (overbought), green when < -100 (oversold).
Orange line = 14-period WMA of CCI
Purple lines = Bollinger Band upper/lower bounds on CCI
This combination helps traders confirm momentum strength, spot extreme moves, and avoid false signals during sideways markets.
Use this tool in conjunction with price action, trendlines, or volume for best results.
BTC Swing Strategy (v1.1 Core Edition)This strategy is a trend-following and volatility-breakout swing trading system optimized for the BTCUSDT 1-hour timeframe.
【 Overview 】
Market: BTCUSDT (Cryptocurrency - Bitcoin)
Timeframe: 1-hour (optimized; no guarantee for other timeframes)
Strategy Type: Trend-following + Volatility Breakout
Trade Direction: Long (Buy) only
【 Entry Logic 】
Confirm trend direction with EMA (20/50/100) and 4H EMA alignment
Filter strong trends using ADX and Volume
Detect "quiet accumulation phases" with ATR, VWAP, and candlestick patterns
Capture momentum with MACD crossovers
Avoid overbought conditions using RSI filters
【 Exit & Risk Management 】
Detect exit signals via MACD bearish crossovers
Use ATR-based dynamic trailing stops to lock in profits
Automatically tighten the trailing stop during high volatility (ATR spikes)
Automatically adjust position size based on risk (default 0.3% of account equity per trade)
Default settings use an ATR ×1.8 stop-loss and ATR ×0.8 trailing stop, maintaining max drawdown within approximately 1.7%.
【 Features 】
Maximum drawdown: within 1.7% (backtested from 2013–2025)
Win rate: approx. 43.6%
Payoff ratio: 2.62
Profit factor: 2.02
Fully automated logic — no manual decision-making required
Compatible with TradingView Alerts + Webhook for auto-trading (e.g., via 3Commas)
【 Important Notes 】
This strategy is based on historical data and does not guarantee future performance.
Due to the volatile nature of cryptocurrency markets, unexpected losses may occur.
Please use at your own discretion.
【 Access Information 】
This is an Invite-only script.
If you are interested, please visit:
→ btcstrategy.base.shop
AI 趋势与 EMA入场信号Precise Entry Signals: Leverages EMA crossovers with ATR-based trailing stops for optimal entry timing
Smart Signal Filtering: Only shows buy signals during bullish trends and sell signals during bearish trends
Signal Confirmation Logic: Generates enhanced signals when both trend reversal and EMA entry occur within adjacent bars
Flexible Configuration: Fully customizable parameters for both the trend detection and entry signal components
Visual Clarity: Color-coded trends, signals and chart backgrounds for easy interpretation
How It Works
The indicator identifies the market trend using the Volume SuperTrend AI, which appears as a colored line below or above price. When this line flips below price, it indicates a bullish trend; when above price, a bearish trend. Entry signals from the EMA component are then filtered based on this trend direction, generating buy signals only during bullish trends and sell signals only during bearish trends.
The system also detects when trend changes and entry signals occur in close proximity (same bar or adjacent bars), providing additional trade opportunities when the market momentum is strongest.
Recommended Use
This indicator works best on timeframes from 15 minutes to daily charts across various markets including forex, cryptocurrencies, stocks, and commodities. It helps traders identify potential entry points that align with the overall market direction, significantly improving the probability of successful trades.
Adjust the sensitivity parameters to match your trading style - lower values for more signals in active markets, higher values for fewer but potentially stronger signals in trending markets.
CME Price Limit (Futures Prop Firms)CME LIMIT Indicator for the 5% price limit rule Prop Firms allow you
CME Price Limit (Futures Prop Firms)CME LIMIT Indicator for the 5% Price Limit Rule Prop Firms Allow
