EMA Crossover with Signalswhen the 8 ema line crosses above the 50 ema, a buy signal is initiated. Will not paint again for 24 hours. Should a candle touch the 20 ema line to the downside, a orange X will appear - helps for raising your stop-loss or closing your order.
Médias Móveis
Quantum UT BOT by MrCryptoBTCQuantum UT BOT by MrCryptoBTC – Precision Signal Engine (Not For Sale - FREE)
How it Works:
The Quantum UT BOT is a smart, optimized version of the classic UT BOT indicator by Yo_adriiiiaan.
It has been meticulously modified by MrCryptoBTC with a Key Value of 0.5 and an ATR Period of 7, making it faster, more responsive, and more accurate in detecting market shifts.
The system uses Adaptive ATR-based triggers to generate Buy (LONG) and Sell (SHORT) signals with Exit points, helping traders catch trends earlier and lock in profits intelligently.
Description:
Quantum UT BOT is an evolution of the original UT BOT, now tuned for higher precision, faster entries, and smarter exits.
By adjusting the core parameters (Key Value 0.5, ATR Period 7), MrCryptoBTC has transformed the UT BOT into a next-generation signal engine suitable for scalpers, intraday, and swing traders.
The Buy and Sell signals generated by the Quantum UT BOT are clear, early, and reliable — offering a major advantage in volatile markets like Gold, Crypto, and Forex.
It is highly recommended to use the Quantum UT BOT together with the STO * Smart Trend Oscillator for a complete smart trading system, providing confirmation and trend filtering for maximum accuracy.
Main Features:
* Fast Buy/Sell Detection – reacts quickly to market changes
* Clear Exit Signals – helps secure profits and reduce drawdowns
* Smart Trend Filtering – ATR-adaptive for dynamic conditions
* Works on All Timeframes – from 1-minute scalping to daily swings
* Perfect Companion to STO * Smart Trend Oscillator
✅ Created by: MrCryptoBTC
✅ Perfect for: Scalpers, Intraday Traders, Swing Traders
✅ Markets: Gold, Crypto, Forex, Indices
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts.
Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals.
This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class.
It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals.
This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below.
Here’s how the indicator works at a high level:
EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction.
Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship.
Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike.
Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average.
Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time.
Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips).
Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown.
Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing.
Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart.
Important Notes to Remember:
The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values.
This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement.
How To Use The Indicator:
You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades.
The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa.
This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool.
The Display Table:
The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal.
1. Z-Score
What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA.
Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of:
0 = perfectly average
> +2 = very overbought
< -2 = very oversold
How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below)
2. Z-Score Momentum
What it shows: The rate of change (ROC) of the Z-score:
Zmomentum=Zt − Zt − 1
Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean.
How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes
3. Correlation
What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA.
Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid.
How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore
4. Stationary
What it shows: A simplified "Yes" or "No" answer to the question:
“Is the spread statistically stable (stationary) and mean-reverting right now?”
Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud.
How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals
5. Last Signal
What it shows: The last signal issued by the system — either "Buy", "Sell", or "None"
Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa.
How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time
6. Bars Since Signal
What it shows: How many bars (candles) have passed since the last Buy or Sell signal.
Why it matters: Gives you context for how long the current condition has persisted
How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually
Indicator Settings:
Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get.
Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated.
Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives.
Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart.
Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment.
Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering.
Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent.
Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals.
Some More Recommendations:
We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
NQ EMA Pullback Strategy [1min]📈 Strategy Name: Momentum Pullback with Trend Confirmation
🛠 Indicators Used:
9 EMA (fast)
20 EMA (medium)
50 EMA (trend)
✅ Trade Setup – Long Entry:
Trend Confirmation:
9 EMA > 20 EMA > 50 EMA (all stacked bullish)
Price must be above the 50 EMA
Pullback Entry:
Wait for a pullback where price touches or dips slightly below the 20 EMA.
9 EMA must remain above the 20 EMA.
Entry Trigger:
Enter long when a bullish candle closes above the 9 EMA after the pullback.
Stop Loss:
Below the swing low of the pullback or below the 50 EMA, whichever is tighter.
Take Profit:
Use a 2:1 reward-to-risk ratio or exit when price extends significantly above the 9 EMA and shows signs of reversal (e.g., bearish engulfing candle).
❌ Short Entry (Opposite Conditions):
Trend Confirmation:
9 EMA < 20 EMA < 50 EMA (stacked bearish)
Price must be below the 50 EMA
Pullback Entry:
Price touches or breaks slightly above the 20 EMA
9 EMA stays below 20 EMA
Entry Trigger:
Enter short when a bearish candle closes below the 9 EMA after the pullback.
Stop Loss:
Above the swing high or the 50 EMA.
Take Profit:
2:1 reward-to-risk ratio or when price stretches far from 9 EMA and stalls.
🔄 Optional Filters:
Volume Spike: Confirm entry with a volume increase.
Time Filter: Trade only between 9:45 AM – 11:30 AM EST and 1:30 PM – 3:30 PM EST (avoid lunch hour and opening volatility).
[blackcat] L2 EMA NexusOVERVIEW
The L2 EMA Nexus is a comprehensive trading indicator that utilizes a three-tiered Exponential Moving Average (EMA) system to identify potential trading opportunities. This script combines technical analysis with robust risk management features to help traders make informed decisions.
KEY FEATURES
• Triple EMA Analysis:
Customizable source inputs for each EMA
Adjustable length parameters (3, 8, 21 periods)
Dynamic color coding based on trend direction
Real-time price action monitoring
• Advanced Entry Signals:
High-low price action verification
EMA cross-overs and cross-unders
Multi-timeframe trend confirmation
Dynamic position sizing limits
• Risk Management:
Configurable Take Profit levels
Flexible Stop Loss settings
Optional TP/SL activation
Clear visual indicators for levels
HOW TO USE
Setup Initial Parameters:
Configure EMA lengths for your timeframe
Set Take Profit percentage (default 25%)
Define Stop Loss percentage (default 2.5%)
Adjust pyramiding limit as needed
Enable/Disable Features:
Toggle TP/SL settings based on strategy
Customize alert conditions
Modify visual labels for clarity
Monitor Trading Signals:
Watch for buy/sell labels
Track TP/SL levels
Monitor position status
TRADE MANAGEMENT
• Entry Conditions:
Long Entry: Higher high with rising EMA1 and stable EMA3
Short Entry: Lower low with falling EMA1 and stable EMA2
• Exit Conditions:
Take Profit: Price reaches defined percentage above/below entry
Stop Loss: Price reaches defined percentage below/above entry
• Position Control:
Limited to specified number of positions
Automatic position tracking
Clear visual indication of current trades
TECHNICAL DETAILS
• EMA Calculation:
Uses Exponential Moving Average for trend following
Color-coded based on 2-bar trend direction
Multiple timeframe compatibility
• Label System:
Clear buy/sell markers
Take Profit and Stop Loss indicators
Real-time position status updates
• Alert Configuration:
Customizable alert messages
Multiple alert conditions
Option to enable/disable specific alerts
LIMITATIONS
⚠️ Important Considerations:
Results may vary across different market conditions
Historical performance does not guarantee future results
Always backtest strategy before live trading
Consider complementing with additional analysis tools
BEST PRACTICES
• Recommended Timeframes:
Daily charts for long-term strategies
4-hour charts for swing trading
1-hour charts for short-term trading
• Risk Management Tips:
Start with small position sizes
Always use TP/SL in live trading
Monitor market volatility before entering trades
TROUBLESHOOTING
• Common Issues:
Ensure proper chart resolution
Verify alert conditions are enabled
Check for conflicting indicators
• Performance Optimization:
Use appropriate timeframe for your strategy
Adjust indicator parameters based on market conditions
Monitor for potential overfitting
[blackcat] L1 Dynamic EdgeOVERVIEW
📈 The L1 Dynamic Edge is a sophisticated trend-following indicator designed to empower traders with a comprehensive view of market dynamics and precise buy/sell signals. By leveraging multiple Exponential Moving Averages (EMAs) and advanced signal processing, this indicator aims to capture the essence of price momentum and provide actionable insights across various financial instruments and timeframes.
🔑 Key Features:
Fully customizable EMA settings
Multi-dimensional trend analysis using high, low, and midpoint EMAs
Intuitive color-coded trend visualization
Accurate buy/sell signals with visual confirmation
Flexible alert system for real-time notifications
Seamless integration with TradingView's charting tools
FEATURES
📉 Advanced Trend Detection:
Utilizes three distinct EMAs (high, low, and midpoint) for a holistic view of market trends
Employs sophisticated logic to determine rising and falling trends
🌟 Dynamic Visualization:
Automatically adjusts the color of EMA plots based on detected trend direction
Fills the area between high and low EMAs for enhanced visual clarity
📈 Precision Signal Generation:
Identifies potential trend reversals using a combination of price action and EMA behavior
Generates clear buy/sell signals based on trend changes
📊 Comprehensive Chart Integration:
Displays buy/sell signals as easily identifiable shapes on the chart
Adds descriptive labels to signal bars for quick reference
🔔 Customizable Alert System:
Provides alert conditions for both buy and sell signals
Allows users to stay informed about potential trading opportunities even when away from the chart
🛠️ User-Friendly Interface:
Simple input parameters for easy customization
Clean and uncluttered chart appearance without overwhelming the user
🌐 Versatile Application:
Adaptable to various financial instruments, including stocks, forex, commodities, and cryptocurrencies
Effective across different timeframes, from short-term scalping to long-term investing
HOW TO USE
✨ Adding the Indicator:
Open your TradingView chart
Click on "Add Indicator" at the top of the screen
Search for " L1 Dynamic Edge" and add it to your chart
🔧 Customizing Settings:
Adjust the EMA length in the input panel to suit your trading style and preferences
Experiment with different values to find what works best for your specific strategy
🕵️♂️ Analyzing Trends:
Observe the color of the EMA bands to quickly assess the overall market sentiment
Note how the filling between the high and low EMAs responds to price movements
📈 Identifying Opportunities:
Watch for buy/sell signals indicated by triangles and labels on the chart
Consider these signals as potential entry/exit points for your trades
🎯 Implementing Strategies:
Combine the indicator's signals with your own analysis and risk management techniques
Use the provided alerts to stay informed about new trading opportunities
🚨 Setting Up Alerts:
Configure alert conditions for buy and sell signals
Choose your preferred notification method (email, SMS, push notifications, etc. )
📊 Fine-Tuning Your Approach:
Regularly review and analyze the indicator's performance
Adjust the EMA length and other parameters as needed to adapt to changing market conditions
LIMITATIONS
Like any technical indicator, the L1 Dynamic Edge should not be used as a standalone trading system
Its effectiveness may be limited during periods of extreme volatility or in highly ranging markets
The indicator's performance will vary depending on the specific instrument and timeframe being analyzed
New traders might need some time to fully understand and effectively utilize all features of the indicator
NOTES
This script utilizes Pine Script version 5 for optimal performance and compatibility with TradingView's latest features
The default EMA length is set to 3, which provides a balance between responsiveness and noise reduction
The indicator's color scheme has been carefully chosen to ensure maximum visibility while maintaining a clean chart appearance
For best results, consider combining this indicator with other forms of technical and fundamental analysis
Regular backtesting and forward testing are crucial to optimize the indicator's settings for your specific trading style and market conditions
THANKS
We extend our deepest gratitude to the vibrant TradingView community for their invaluable feedback, suggestions, and support throughout the development process of the L1 Dynamic Edge indicator. Special thanks to all the dedicated traders who took the time to test and refine this tool, helping us create a more robust and user-friendly experience for everyone.
Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description
Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility.
It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods.
🧠 What it does:
This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on:
Trend Strength (via Perry Kaufman's Efficiency Ratio)
Market Volatility (via Tushar Chande's Volatility Ratio)
It reacts faster when the market is trending strongly and/or highly volatile,
and it smooths out and slows down when the market is choppy or calm.
🔍 How it works (step-by-step):
1. User Inputs:
length: (default 14)
How many bars to look back for calculations.
fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1))
slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1))
(These are used to control how fast/slow the KAMA can react.)
2. Calculate Trendiness — Kaufman Efficiency Ratio (ER):
Net Change = Absolute difference between current close and close from length bars ago.
Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window.
Efficiency Ratio (ER) = Net Change divided by Sum of Changes.
✅ If ER is close to 1 → Smooth, trending market.
✅ If ER is close to 0 → Choppy, sideways market.
3. Calculate Bumpiness — Volatility Ratio (VR):
Short-Term Volatility = Standard deviation of close over length.
Long-Term Volatility = Standard deviation of close over length * 2.
Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility.
✅ If VR is >1 → Market is becoming more volatile recently.
✅ If VR is <1 → Market is calming down.
4. Create the Hybrid Alpha:
Multiply ER × VR.
Then square the result (math.pow(..., 2)).
This hybrid alpha decides how aggressive the MA should be based on both trend and volatility.
If ER and VR are both strong → big alpha → fast movement.
If ER and/or VR are weak → small alpha → slow movement.
5. Calculate the Final Adaptive Smoothing Constant (hybridSC):
hybridSC = slowSC + hybridAlpha × (fastSC - slowSC)
This smoothly interpolates between the slowest and fastest smoothing depending on market conditions.
6. Calculate and Plot the Adaptive MA:
The moving average is manually calculated:
hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA )
It behaves like an EMA but with dynamic smoothing, not a fixed alpha.
✅ If hybridSC is high → MA hugs the price closely.
✅ If hybridSC is low → MA stays smooth and resists noise.
Finally, it plots this Adaptive MA on the chart in blue color.
📊 Visual Summary
Market Type What Happens to GAMA
Trending hard + volatile Follows price quickly
Trending hard + calm Follows steadily but carefully
Sideways + volatile Reacts carefully (won't chase noise)
Sideways + calm Smooths heavily (avoids fakeouts)
✨ Main Strengths:
Adapts automatically without you tuning settings manually every time market changes.
Responds smartly to both trend quality (ER) and market energy (VR).
Reduces lag during real moves.
Filters out false signals during choppy mess.
🧪 Key Innovation compared to normal MAs:
Traditional MA Gabriel's Adaptive MA
Same smoothing every bar Dynamic smoothing every bar
Slow during fast moves Adapts fast during real moves
No understanding of volatility or trendiness Full market sensitivity
⚡ **Simple One-Line Description:**
"Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
Anchored Moving Average by TradeSeekersThis script plots an SMA that resets based on the selected anchored timeframe, by default it is 1D.
There exists some other AMA scripts but I didn't find anything that plotted the non-anchored MA alongside the AMA and displayed the point of convergence.
The non-anchored MA presents slightly opaque as a circle plot until the anchored MA converges.
Until the anchored MA contains enough data an simple average is calculated of all source prices collected starting from the anchor.
For example, if the timeframe has reset and source is set to closing prices, then after the first bar the AMA is essentially the last closing price. After two bars have closed then the AMA is an average of the last two closing prices.
Future updates may add additional average types as time permits.
Short Below 20 EMA with Exit Above Prior High - 15 Mintake entry on price cross below 15 min 20 ema and exit on reversal of candle close above previous 15 min candle
OneTrend EMAThis strategy uses exponential moving averages (EMA) to define market trend direction and employs a dynamic ATR-based threshold adjusted by a custom ADX calculation to generate bullish (blue) and bearish (pink) zones.
It enters long positions when the fast EMA exceeds the threshold (blue zone) and exits when it falls below the threshold (pink zone), providing clear, rule-based signals for trend-following trades.
Pros include adaptive thresholding that reflects market volatility and trend strength, while cons are potential lag in sideways or choppy markets and susceptibility to whipsaws in volatile conditions.
Multi-Indicator Swing [TIAMATCRYPTO]This strategy uses a combination of seven powerful technical indicators to identify potential buy and sell signals for swing trading. By requiring confirmation from multiple indicators, the strategy aims to filter out false signals and capture meaningful price movements.
Indicators Used
EMA Crossover - Fast and slow exponential moving averages to identify trend direction
MACD - Momentum indicator showing the relationship between two moving averages
RSI - Measures speed and change of price movements to identify overbought/oversold conditions
Parabolic SAR - Identifies potential reversal points in price movement
Supertrend - Combines trend and volatility to generate clear buy/sell signals
ADX - Measures trend strength to filter out low-conviction signals
Liquidity Delta - Analyzes bid/ask volume imbalances to detect potential market direction
Usage Recommendations
Timeframe Selection: This strategy works best on 1-hour to daily timeframes for swing trading
Market Application: Most effective in trending markets with clear directional bias
Optimization: Test different indicator combinations to find what works best for specific markets
Risk Management: Consider adding stop-loss and take-profit levels based on your risk tolerance
Notes
The strategy uses a clean interface that displays only buy/sell signals for clearer chart analysis
An information panel shows active indicators and testing period
All calculations are performed even for disabled indicators but they won't affect signal generation
The backtesting period can be adjusted according to your analysis needs
This multi-indicator approach to swing trading aims to provide high-quality signals by requiring confirmation from multiple technical perspectives, potentially reducing false signals and improving overall trading results.
M.u.l.t.i Indicator [fikri production]"This indicator is designed to help traders identify short-term and long-term trends by using exponential moving averages (EMA). It works best on the 1-hour and 4-hour timeframes, providing clear confirmation of the market's direction.
Users can customize the EMA periods to fit different trading strategies, whether for scalping, swing trading, or longer-term analysis. The indicator is ideal for those who prefer a clean and simple trend-following system without unnecessary noise.
Recommended settings and usage tips are included to help you maximize the performance of this tool."
Bob Volman - Engulfing Pullback with Trend Filter [v6]Dãi ema có tín hiệu để vào lệnh và đi theo xu hướng
Stratégie de Renversement avec VWAP, EMA et MACDstrategie qui fonctionne tres bien en 5 min le meilleur time frame pour set strategie pour le btc
Advance Trading StrategyStrategy Description: Advance Trading Strategy uses:
Fast (12) & Slow (21) EMAs for trend determination via crossovers.
ADX (14) with manual smoothing to confirm trend strength; threshold settable (default 20).
ATR-based stop-loss and take-profit levels (multipliers configurable).
Visual signals: BUY/SELL labels on crossover when ADX
PG MA Crossover Buy and Sell Options Special"If you've ever felt frustrated with buy-and-hold during volatile periods, this strategy gives you a smart, disciplined edge to actively manage your trades based on market strength, not hope. Give it a try, tweak the settings to suit your style, and unlock better consistency over time!"
// PG MA Crossover Direction Strategy — Quick Overview
// 📈 Entry:
// Long when MA is rising + price moves above it.
// Short when MA is falling + price moves below it.
// Smart re-entries near MA allowed.
// 📉 Exit:
// Long exit if price falls X% from top OR drops below MA.
// Short exit if price rises X% from low OR rises above MA.
// 🛡️ Stop Loss:
// Shorts have a hard stop-loss above entry to cap losses.
// 🎯 Goal:
// Beat Buy-and-Hold by riding strong trends, exiting early from weak ones, and managing risk dynamically.
// Designed for traders who want higher consistency and lower volatility over time.
// 🚀 Tip:
// Tweak the % thresholds and MA type/length for best results on your asset!
🚨 MA Oliver Velez MA Cross (with Alerts)This indicator is based off the Oliver Velez strategy. When price crosses the 20MA and the 50MA or the 200MA in one time span, a big move is typically waiting to come out of that origin. You can set an alert to let you know when this dynamic event occurs - then BOOM!
MSS + Confirmation + RSI + Strong Candle FilterMSS Strong Confirmed Indicator
This indicator is designed to detect only the strongest entry opportunities based on strict conditions:
✅ MSS (Market Structure Shift) detection.
✅ Waiting for a strong confirmation candle (body > 60% of total candle length).
✅ RSI filter (above 50 for Long, below 50 for Short).
✅ AlphaTrend trend confirmation.
✅ Automatic drawing of Take Profit (TP) and Stop Loss (SL) levels.
Only rare, high-probability entries are shown — no noise, no false signals.
Ideal for traders who prioritize accuracy and quality over quantity.
Script created and designed by Taha Shalata 💎🚀
Ultimate Multi EMA🔹 Ultimate Multi EMA + HTF Bias Line
This script plots four customizable EMAs (8, 21, 50, 200) with flexible colors and line widths.
It also adds an automatic Higher Timeframe (HTF) EMA line:
On the Daily timeframe: shows the Weekly EMA.
On lower timeframes (like 1-minute): shows the Daily EMA.
The HTF EMA helps to easily identify market bias.
All colors and thicknesses can be adjusted in the settings.
Default settings:
EMA 8 (green)
EMA 21 (gold)
EMA 50 (blue)
EMA 200 (black)
HTF EMA (lilac)
Islamabad Forex Academy Strategy-1 Best on 1H-4H forex charts (EURUSD/GBPUSD)
Adjust supertrend multiplier between 2.5-3.2 based on volatility
Switch to close-price crosses during low volatility periods
Combine with London/New York sessions for best results
Clean Liquidity + 8 EMA Body-Match Cross Painter (Custom Alerts)The painted bars represent the liquidity blocks high and low. when you mark the high and low of the painted bars, there is a significant chance for a great setup entry!
🚨 Oliver Velez 20 50 200 Triple Cross + Ghost Cross DeluxeThis indicator is based on Oliver Velez power setup, when price crosses the 20MA and the 50MA or the 20MA and the 200MA the candles are painted to help reduce confusion. All setups won't be as powerful as his "Boom" But you can get at least 3-4 bars from it on any time frame! Enjoy!
Moving Average Crossover by mashrur 🔵 How This Indicator Works:
Short MA (9-period Simple Moving Average)
Long MA (21-period Simple Moving Average)
Signals:
Buy when Short MA crosses above Long MA.
Sell when Short MA crosses below Long MA.
On the chart:
Green up labels = Buy signals 🚀
Red down labels = Sell signals 🔻
✍️ How to Take an Entry:
Wait for a Signal
Look for a green up label = Buy signal.
Look for a red down label = Sell signal.
Enter the Trade
If Buy signal appears → Open a Buy (Long) trade.
If Sell signal appears → Open a Sell (Short) trade.
Set Stop Loss (SL) and Take Profit (TP) (important!)
Stop Loss:
For Buy, place SL below the recent swing low.
For Sell, place SL above the recent swing high.
Take Profit:
You can use a Risk:Reward like 1:2 (risking 10 pips to make 20 pips).
Or exit when the opposite signal comes (if another crossover happens).
Optional: Add Confirmation
You could add extra filters like:
Only take Buys if the market is in an overall uptrend (higher highs, higher lows).
Only take Sells in downtrends.
🧠 Important Tips:
Don't enter late! → Try to enter right when the signal appears.
Be careful during sideways (choppy) markets! → MA crossovers can give false signals when the market is flat.
Use alerts → Your code already has alerts ready! Set them up on TradingView so you don't miss entries.
📈 Example (Visual):
Imagine the chart shows:
Price is going up.
The blue (Short MA) crosses above the red (Long MA).
A green label appears under the candle.
👉 You would enter a Buy right at that candle close.
👉 Stop Loss: just under the recent low.
👉 Take Profit: 2x your risk or at next resistance.
