10>20,p>50 DEMARenders daily EMA, 10, 20 and 50 on any timeframe below 1D
30m timeframe works well.
Use trend of 10 > 20 + price > 50 for long and 10 < 20 + price < 50 for shorts or exits.
移动平均线
Trinity Moving Average SlopeThe Trinity Moving Average Slope indicator quantifies the steepness of a moving average's direction in a dedicated oscillator pane on TradingView. It normalizes this slope with ATR to ensure consistent readings across varying assets, volatilities, and timeframes, enabling traders to distinguish robust trends from sideways or choppy markets objectively.
Calculation Method
The process starts by calculating a primary moving average based on the selected type and length (default: 16-period HMA on ohlc4 source). It then determines the one-bar change in this MA value, divides it by the ATR (default length 10) for volatility normalization, applies the arctangent function, and converts the result to degrees. This produces a slope angle that typically oscillates between roughly -10° and +10°, with higher absolute values indicating steeper trends.
Visual Elements and Interpretation
The main slope line appears with dynamic coloring: bright green for values above the top threshold (default +2°), signifying a strong uptrend; red below the bottom threshold (default -2°), for strong downtrends; and gray in the neutral zone between them. Horizontal lines mark these thresholds, along with a dotted zero line for quick reference on trend direction changes.
Usage Guidelines
Traders primarily use this as a trend strength filter—favor long positions or continuations when the line sustains green, shorts or profit-taking in red, and stand aside during gray periods to avoid false trend signals in ranging conditions. Zero-line crosses serve as early warnings of momentum shifts, while the built-in alerts notify on strong trend activations or these crosses.
Highlight: Secondary Moving Average
An optional secondary MA (toggleable, default off) smooths the slope line itself, functioning like a signal line (default: 14-period EMA in yellow). Enabling it introduces crossover opportunities: the main slope crossing above the secondary MA suggests accelerating bullish momentum, while crossing below indicates potential bearish slowdowns or reversals. This adds confirmation and helps filter noise, especially useful in volatile markets.
Available Moving Average Types
Both the main (slope-generating) MA and the secondary MA offer the same six types, each with distinct characteristics for different trading styles:
SMA (Simple Moving Average): Equal weighting to all periods—smooth but with significant lag, ideal for identifying long-term trends.
EMA (Exponential Moving Average): Greater weight to recent prices—responsive with moderate lag, a balanced choice for most trend-following setups.
WMA (Weighted Moving Average): Linear weighting favoring newer data—faster than SMA but smoother than EMA, good for intermediate responsiveness.
HMA (Hull Moving Average): Engineered to reduce lag while maintaining smoothness—highly responsive, excellent for shorter timeframes or catching early trend changes (default in the main MA here).
RMA (Running Moving Average): Similar to EMA but with adjustable alpha—robust and less prone to overshooting in wild swings.
VWMA (Volume Weighted Moving Average): Weights by volume—useful in stock trading where volume confirms price moves, emphasizing high-activity periods.
Suggested Settings
For stocks (slower moves): Use longer main lengths like 30-50 with EMA or HMA on daily charts, or 20-34 on intraday, keeping thresholds around ±2° to ±3°.
For crypto (faster action): Opt for shorter lengths like 10-20 with HMA for responsiveness, ATR 10, and thresholds ±1.8° to ±2.5°; enable the secondary EMA for extra signal confirmation on 15-min to 4H charts. Experiment to match your risk tolerance.
EMA RANGEEMA RANGE
EMA RANGE is a simple, price-focused indicator that plots an Exponential Moving Average (EMA) with a dynamic ATR-based range above and below it. The ATR bands adapt to market volatility, helping traders visualize normal price movement and identify potential expansion or compression zones.
🔹 Features
Customizable EMA length
ATR range bands plotted above and below the EMA
Adjustable ATR length and multiplier
Toggle to enable or disable ATR ranges
Fully customizable colors and line thickness from the Style tab
🔹 How It Works
The EMA serves as the central trend reference.
The Average True Range (ATR) measures volatility.
Upper and lower bands are calculated as:
EMA ± (ATR × Multiplier)
When price remains inside the range, conditions are considered normal. Moves outside the range may signal increased volatility, momentum expansion, or potential breakout conditions.
🔹 Best Use Cases
Trend continuation and pullback analysis
Volatility-based risk framing
Dynamic support and resistance visualization
Works on any market and timeframe
EMA RANGE is designed to stay clean, responsive, and easy to interpret—making it suitable for both discretionary and systematic traders.
BTC Market Regime Scanner (Free Preview)This idea demonstrates how Bitcoin price action behaves very differently
depending on the underlying market regime.
Most indicators react to price.
This framework focuses on context.
Instead of highlighting isolated buy/sell moments, the chart visualizes:
• When the market is structurally trending versus conditionally neutral
• Why certain price moves should be ignored despite strong momentum
• How multiple filters work together to block low-quality participation
• Where late entries statistically deteriorate expectancy
The regime logic is designed to answer a simple but critical question:
"Is this environment even worth engaging?"
By combining trend strength, regime classification and structural filters,
the framework avoids common pitfalls such as:
– chasing extended moves
– trading inside neutral compression zones
– reacting to noise instead of structure
Important:
– This is NOT a trading signal
– No entries, no alerts, no automation
– The purpose is structural market interpretation, not execution
The indicator shown here is a free visual preview of a more advanced,
invite-only system that extends this logic with execution rules,
risk management and automation.
If you are interested in testing the full system,
feel free to DM me on TradingView.
Sell-to-Buy Pressure RatioSell/Buy Pressure Ratio
What It Measures
The Sell/Buy Pressure Ratio quantifies the aggressiveness of sellers versus buyers by comparing conviction-weighted volume on down candles versus up candles. It answers a simple question: who is more committed right now—buyers or sellers?
How It Works
The indicator examines each candle and determines directional conviction based on where price closes within the bar's range. A candle that closes near its high shows strong buyer conviction. A candle that closes near its low shows strong seller conviction. This conviction percentage is then multiplied by volume to create a weighted measure of buying and selling pressure.
The ratio divides total selling pressure by total buying pressure over a lookback period. A ratio of 1.5 means sellers are 50% more aggressive than buyers. A ratio of 0.5 means buyers are twice as aggressive as sellers.
Key Features
Conviction weighting: Not all volume is equal. A strong close near the high counts more than a weak close mid-range.
Doji handling: Indecisive candles (where open and close are nearly equal) split volume 50/50 between buyers and sellers.
Volume filtering: Low-volume bars below 60% of average are excluded to focus on meaningful activity.
Normalized output: Optional -1 to +1 scale for cross-stock comparison.
Interpretation
RatioMeaning≤ 0.5Strong buyers — accumulation, continuation setups0.5 – 0.8Buyers favored — healthy environment for longs0.8 – 1.2Balanced — equilibrium, wait for direction1.2 – 1.5Sellers favored — caution warranted≥ 1.5Strong sellers — distribution, avoid new longs
Primary Use
Timing entries within confirmed trends. The ratio identifies when selling pressure has exhausted itself, signaling safer entry points. Rather than buying strength, traders wait for the ratio to transition from elevated levels back toward equilibrium—buying when selling stops being dangerous.
What It Does Not Do
This indicator does not predict direction. It measures current pressure dynamics. Pair it with trend analysis (moving averages, price structure) to determine direction, then use the pressure ratio to time entries and exits.
Scalping Acciones PRO (Entradas + TP + SL) leo
How to use it correctly
• Timeframe: 1m or 5m
• High-volume stocks (SPY, AAPL, TSLA, NVDA…)
• Take Profit (TP): VWAP or EMA 21
• Stop Loss (SL): low/high of the signal candle
⸻
If you want, in the next message I can:
• 🔧 add automatic Stop Loss and Take Profit
• 🚀 convert it into a strategy (Strategy Tester)
• 🎯 filter only strong reversals (fewer false signals)
EMA/SMA Full color signal candles💡 What It Does:
The indicator calculates and plots the 21-period Exponential Moving Average (EMA) and the 30-period Simple Moving Average (SMA). It then analyzes the closing price of each candle and colors the entire candlestick (body and border) according to pre-defined trend conditions.
This visualization allows traders to identify strong trend environments versus periods of consolidation or indecision at a glance, removing the need to constantly check the price relationship manually.
🎨 Color Conditions and Meaning:
The indicator uses three distinct color states to signal the market's current momentum:
Color,Condition,Market Interpretation
🟢 GREEN,Closing Price is ABOVE both the 21 EMA AND the 30 SMA.,Strong Bullish Trend: Suggests high momentum and confirmation of an uptrend. Ideal for long bias.
🔴 RED,Closing Price is BELOW both the 21 EMA AND the 30 SMA.,Strong Bearish Trend: Suggests high downward pressure and confirmation of a downtrend. Ideal for short bias.
⚫ GRAY,"Closing Price is in any other state (e.g., between the two MAs, or under one and over the other).","Neutral / Consolidation: Indicates uncertainty, low momentum, or potential trend exhaustion/reversal. Caution is advised."
🔧 Customization Options:The indicator is fully customizable, allowing users to fine-tune the periods to match their preferred trading style (e.g., scalping, swing trading).Dĺžka EMA (Length EMA): Allows you to change the period for the Exponential Moving Average (default is 21).Dĺžka SMA (Length SMA): Allows you to change the period for the Simple Moving Average (default is 30).
I added also Extra 4 EMA lines to have extra edge.
NY ORB, VWAP & EMAsThis release introduces powerful new features focused on session analysis, trade alerts, and clear market visualization to help you better frame the trading day.
✨ New Features
1. Automated Trading Session Identification
The indicator now automatically identifies and highlights two key market periods:
Asian Session High/Low Tracking: Automatically tracks and plots the High and Low prices established during the Asian Trading Session (5:00 PM – 2:00 AM PST). These levels provide critical reference points for potential support and resistance during subsequent sessions.
Power Hour Visualization: A subtle green background highlight is now applied to the chart during the "Power Hour" (6:00 AM – 9:30 AM PST). This visually marks the high-volatility period immediately following the New York Open, helping traders focus on active price action.
⚙️ Technical Changes
Plot Style: The plots for the "Asian High" and "Asian Low" are now plotted using circles (plot.style_circles) for clear visibility and differentiation from standard lines.
One-Sided Hodrick-Prescott FilterTechnical & Mathematical Architecture
This indicator represents a significant departure from standard Moving Averages or traditional Hodrick-Prescott (HP) filter implementations found on Trading View. It utilizes a State-Space Model approach to decompose time-series data into trend and cyclical components, solved recursively via a Kalman Filter (Forward Pass) and a Rauch-Tung-Striebel (RTS) Smoother (Backward Pass). Furthermore, it introduces a proprietary Maximum Likelihood Estimation (MLE) loop to adapt the smoothing parameter (λ) dynamically in response to market regimes.
1.1 The State-Space Formulation
The standard HP filter minimizes a specific loss function involving the sum of squared deviations and the sum of squared second differences. While typically solved via batch matrix inversion, this script reformulates the problem as a Local Linear Trend (LLT) model, a stochastic structural model defined by:
Measurement Equation:
y = μ + ε
(Where ε is normally distributed noise)
State Transition Equations:
μ = μ + β + η
β = β + ζ
Where μ represents the stochastic level (trend) and β represents the stochastic slope (drift). The crucial link to the HP filter is the signal-to-noise ratio. By setting the variance of η to 0 (smooth trend) and defining λ as the ratio of measurement variance to slope variance, the Kalman Filter solution converges exactly to the One-Sided HP Filter.
1.2 The Forward Pass: Kalman Filter
The script executes a recursive estimation loop for real-time (causal) filtering:
Prediction Step: Projects the state mean and error covariance forward based on the transition matrix.
Innovation: Calculates the measurement residual (v = y - predicted y).
Update Step: Computes the Kalman Gain. The posterior state is updated based on how much the prediction missed the actual price.
Stability: The covariance update utilizes the Joseph Form subtraction to ensure the covariance matrix remains positive semi-definite, preventing numerical instability inherent in high-precision floating-point calculations over long durations.
1.3 Adaptive λ via Maximum Likelihood
Standard filters use a static λ (e.g., 1600 for quarterly data), which fails in crypto/FX markets exhibiting changing volatility. This script implements an Adaptive ML Loop.
The Kalman Filter assumes innovations are normally distributed with a specific theoretical variance (S). We compute a running variance ratio test:
Ratio = Actual Innovation Variance / Theoretical Variance
Ratio > 1: The model is "surprised" by volatility. The filter is under-fitting. The script dynamically decreases λ to increase responsiveness (reduce lag).
Ratio < 1: The model is over-fitting noise. The script increases λ to enforce a smoother trend.
This allows the filter to function as a low-lag trend follower during impulses and a robust noise filter during consolidation, automatically.
1.4 The Backward Pass: Rauch-Tung-Striebel (RTS) Smoother
This is the most complex feature of the script. While the Forward Pass provides the optimal estimate based on past data, the Backward Pass computes the optimal estimate based on all data.
The RTS algorithm runs purely on historical arrays stored in memory:
It iterates backward from the last bar to the past. It computes a "Smoother Gain" matrix based on future information. It updates the past estimates to correct them based on what happened afterwards. This results in a Minimum Mean Squared Error (MMSE) estimator. Note: This smoothed line is for analytical hindsight and back testing theoretical limits; it is distinct from the real-time filtered line used for live signaling.
Usage Guide:
This indicator is designed for precision trend following and mean-reversion trading. It separates the market price into a Trend Component (Signal) and a Cycle Component (Noise/Oscillation).
The Two Trend Lines:
The Filtered Trend (Real-Time): This is the filled/shaded line on your chart. It calculates the trend using only past data. It does not repaint. Use this for entering and exiting live trades.
Green Fill: Price is above the trend (Bullish bias).
Red Fill: Price is below the trend (Bearish bias).
The Smoothed Trend (Hindsight): (Optional, enabled via settings). This is the "God mode" line. It uses future data to show you exactly where the trend was.
WARNING: This line repaints. Do not trade the tip of this line. Its purpose is to show you the ideal path for training your eye or optimizing parameters.
Mean Reversion Signals:
The script calculates the "Cycle," which is the percentage deviation of price from the HP Trend.
Bands: The Upper and Lower bands represent the Cycle Threshold.
Long Signal (L): Triggered when the Cycle is Oversold (below lower band) AND begins to turn up, while the Filtered Drift (slope) is positive. This suggests a "dip buy" in an uptrend.
Short Signal (S): Triggered when the Cycle is Overbought (above upper band) AND begins to turn down, while the Filtered Drift is negative. This suggests selling a rally in a downtrend.
Adaptive Lambda Panel:
Enable the "Lambda Panel" to see the engine under the hood.
Rising Lambda (Blue): The market is noisy or consolidating. The filter is becoming "stiffer" to ignore the chop.
Falling Lambda (Orange): The market is trending impulsively. The filter is becoming "looser" to track the price closely and reduce lag.
Strategy: You can use low Lambda values as a confirmation of high-volatility breakout regimes.
Performance Table:
A dashboard in the bottom right corner displays the efficiency of the Kalman Filter:
MSE Filtered vs. Smoothed: Shows the Mean Squared Error of the real-time prediction vs. the hindsight-optimal smooth.
Improvement %: A higher percentage indicates that the RTS Smoother is extracting significantly more noise than the real-time filter (common in choppy markets).
Kalman Gains (K1, K2): These display the current weight the filter assigns to new price data for updating the Level and Slope respectively.
Summary of Settings
Base Lambda: The starting stiffness. Higher = smoother (long-term trend). Lower = responsive (short-term trend).
Adaptation Speed: Recommended between 0.01 and 0.05. Controls how fast λ reacts to volatility shocks.
Smoother Lookback: How far back (in bars) the RTS algorithm re-optimizes the historical line.
Best Practice: Use the Filtered Trend for execution. Use the Smoothed Trend to analyze past price action and determine if your Base Lambda setting is appropriate for the asset's volatility profile.
Slope Averages
📊 Indicator Overview: Three Moving Averages Slope Table
This indicator is designed to calculate and display the slopes and averages of three different moving averages (MAs) in a table format. It helps traders quickly visualize the direction and strength of multiple moving averages, as well as their combined averages, across different timeframes.
⚙️ Inputs and Configuration
• MA Type 1, 2, 3: Choose the type of moving average for each line. Options:
• (Exponential Moving Average)
• (Simple Moving Average)
• (Weighted Moving Average)
• (Volume-Weighted Moving Average)
• (a custom smoother using multiple EMAs)
• Length 1, 2, 3: Periods for each moving average (e.g., 20, 50, 100).
• Source: The price source used (default = ).
• Extra Timeframes (optional): You can configure up to 3 additional timeframes (e.g., 1h, 4h, Daily) to compare the combined average across different chart periods.
🔧 Functions Explained
1. tilson(src, length)
• A custom moving average that smooths price using 8 sequential EMAs.
• Produces a smoother line than a standard EMA.
2. getMA(src, length, maType)
• Selects the correct moving average type based on user input.
• Returns the chosen MA value.
3. Slope Calculation
• Each slope is calculated as:
• This converts the difference between current and previous MA values into an angle in degrees.
• Positive slope = upward trend, negative slope = downward trend.
4. Combined Slopes
• : Average slope of all three MAs.
• , , : Average slopes of pairs of MAs.
5. Combined Averages
• : Average of MA1 and MA2.
• : Average of MA2 and MA3.
• : Average of MA1 and MA3.
• : Average of all three MAs.
6. Color Function
• : Returns green if value ≥ 0, red if value < 0.
• Used to color table cells for quick visual feedback.
📋 Table Output
The table shows:
1. Individual slopes of MA1, MA2, MA3.
2. Average slope of all three.
3. Combined averages (M1+M2, M2+M3, M1+M3).
4. Combined slopes of pairs.
5. Overall average .
6. Optional: RSI or multi-timeframe averages can also be added.
Each value cell is colored green if positive, red if negative, making it easy to spot bullish or bearish conditions.
🎯 How to Use It
• Trend Strength: Look at the slope values. Steeper positive slopes = stronger uptrend; steep negative slopes = stronger downtrend.
• Confluence: When all three MAs and their combined averages point in the same direction, it signals strong trend alignment.
• Multi-Timeframe Analysis: Configure extra timeframes to see if short-term and long-term averages agree. If they align, confidence in the trend increases.
• RSI Integration (optional): Add RSI to confirm momentum. For example, bullish slope + RSI > 50 = stronger buy signal.
✅ Practical Example
• MA1 = EMA(20), MA2 = SMA(50), MA3 = WMA(100).
• If slope1, slope2, slope3 are all positive and green, and is also green → strong bullish trend.
• If slopes are mixed (some green, some red), the market is consolidating.
• If all slopes are red and is red → strong bearish trend.
Market NavigatorIntroducing Market Navigator: The Ultimate Trading Indicator for Forex and Gold Markets
In today’s fast-paced trading world, having all-in-one tools that provide clarity and actionable insights is more critical than ever. The FINAL EMA 05 indicator is a comprehensive TradingView tool designed to help traders spot trends, key levels, and market reversals—all on a single chart.
This indicator combines 8 EMAs, Delta Zones, Swing Highs/Lows, Candle Patterns, and Liquidity Channels—making it perfect for Forex, Gold (XAUUSD), and other major markets.
1. Multi-Timeframe EMAs for Trend Clarity
The indicator includes 8 EMAs:
EMA 7 & 9 – Short-term trend detection
EMA 10 & 20 – Short-to-mid-term trend confirmation
EMA 50 & 89 – Mid-to-long-term trend
EMA 100 & 200 – Long-term trend and strong support/resistance levels
Each EMA can be customized with a different length, color, width, and timeframe, making it easy to visualize both local and major market trends.
✅ Why it matters: EMAs help traders quickly identify whether the market is in an uptrend or downtrend, and spotting EMA crossovers can signal potential trade entries.
2. Delta Zones: Detect Buy & Sell Pressure
Delta Zones identify buying and selling pressure by analyzing price movement deviations. The system plots green “Buy Boxes” when bullish pressure is high and red “Sell Boxes” when bearish pressure dominates.
Configurable StdDev levels and lookback periods
Alerts when buy or sell pressure is detected
✅ Why it matters: Delta Zones give traders an edge by visually highlighting where buyers or sellers are strongest, helping to anticipate market moves.
3. Swing Highs & Lows with Candle Patterns
FINAL EMA 05 automatically detects:
Swing Highs (HH/LH) and Swing Lows (LL/HL)
Key candlestick patterns including Hammer, Inverted Hammer, Bullish Engulfing, Hanging Man, Shooting Star, and Bearish Engulfing
Labels are plotted directly on the chart, with tooltips explaining the pattern, making it perfect for beginners and experienced traders alike.
✅ Why it matters: Swing levels and candle patterns help identify market reversals and trend continuations, allowing precise entry and exit timing.
4. Liquidity Channels: Spot Key Levels for Big Moves
Liquidity Channels detect important highs and lows where large traders may have placed their orders. The channels expand over time and are visually highlighted:
Teal lines for bullish liquidity
Red lines for bearish liquidity
Customizable channel growth, line style, and deletion timing
✅ Why it matters: These levels often act as support and resistance zones, and price reactions at these points can indicate major breakouts or reversals.
5. Why Bangladeshi Traders Should Use FINAL EMA 05
Gold (XAUUSD) & Forex Focus: The EMAs and Delta Zones provide accurate trend direction, while liquidity levels show where institutional traders are active.
Multi-Timeframe Insights: Short-term traders can focus on EMA 7, 9, and 10, while swing traders can watch EMA 50, 89, and 200.
All-in-One View: No need to add multiple indicators; this script combines trend, pressure, patterns, and liquidity in one.
Conclusion
The FINAL EMA 05 indicator is not just another EMA or candlestick tool—it’s a complete trading toolkit. By combining trend analysis, pressure zones, swing levels, candlestick patterns, and liquidity channels, it empowers traders to make informed, precise, and confident decisions.
Whether you’re trading USDJPY trends, Gold XAUUSD, or Forex pairs, this indicator helps you spot
UT Bot + SMC PRO (PROP) + VISUAL SIGNALS-DE ALEJANDRO PONCEHOW TO USE THEM TOGETHER (GOLDEN RULE)
Reading Sequence
UT → without B Bounce / pullback
B → without UT Weak break
UT → B (same direction) ✅ Valid setup
UT ↔ Opposite Bs Noise / range
Colored HMA + Color SARThis is a simple yet effective chart setup that I really like and trade with. I use the Heiken Ashi candlesticks so with this I get three conformations in one. If you like it great. I am not a coder but I do know what works for my brain and thought I would share this, thanks to Chat GBT.
I use it for entry most of the time on the 5 minute chart New York open. I also like the Orb break and retest by Quant Crawler as my second indicator.
Dynamic Multi-Timeframe SMAs (Brian Shannon Style)Overview : This indicator implements the logic of Brian Shannon's "Multi-Timeframe Analysis" on intraday charts. It automatically calculates the correct length for the 5-Day and 50-Day Simple Moving Averages (SMA), regardless of the timeframe (e.g., 5m, 15m, 1h) you are viewing.
How it works Standard SMAs only count bars. A "50 SMA" on a 5-minute chart only looks back ~4 hours. This script dynamically calculates how many bars represent full trading days.
Features:
Asset Class Selector : Choose between Crypto (24/7) and Stocks (6.5h US Session) to ensure correct minute-per-day calculations.
Info Table : Displays exactly how many bars are being used for the calculation in real-time.
Relative Outperformance + EMA Trend Filter (Long Only)Relative Outperformance based on underlying and EMA based trend filtering
CS Trendline ProTitle: CS Trendline Pro
Description:
CS Trendline Pro is a comprehensive scalping and day-trading system designed to filter out noise and identify high-probability breakout setups. It combines the structural precision of Fractal Trendlines with a robust Dual-EMA Filter, visualized through an intuitive "Traffic Light" color system.
This tool is specifically engineered for traders who want to trade Trendline Breakouts but need a safety mechanism to avoid false signals (fakeouts) and counter-trend traps.
🚦 How the "Traffic Light" Logic Works
The core feature of this script is the dynamic coloring of the candles, which acts as a visual filter for your entries:
🟢 GREEN Zone (Safe Buy):
Condition: A Bullish Trendline Breakout has occurred AND the price is holding ABOVE the EMA 30 (Yellow Line).
Meaning: Momentum is bullish, and you are in a safe zone to look for Long entries.
🔴 RED Zone (Safe Sell):
Condition: A Bearish Trendline Breakout has occurred AND the price is holding BELOW the EMA 30 (Yellow Line).
Meaning: Momentum is bearish, and you are in a safe zone to look for Short entries.
⚪ GRAY Zone (No Trade / Wait):
Condition: A breakout occurred, but the price is on the "wrong side" of the EMA 30.
Meaning: Indecision. The market structure is conflicting with the immediate momentum. It is recommended to stay out until the color changes.
🛠️ Key Features
** automated Trendlines:** Automatically draws Support and Resistance dynamic trendlines based on pivot points (LuxAlgo engine).
Dual EMA Filter:
EMA 30 (Yellow): Acts as the immediate "Safe Zone" filter.
EMA 200 (White): Displays the macro trend. (Pro Tip: Only take Green signals if price is above the White line).
CS-BUY / CS-SELL Labels: Clear text markers appear exactly when a valid breakout occurs.
Customizable: Adjustable sensitivity (Length), EMA periods, and Slope calculation methods (ATR, Stdev, Linreg).
📉 How to Trade with CS Trendline Pro
For Scalping (5m / 15m):
Identify the Main Trend: Look at the White EMA (200).
If Price > EMA 200 → Focus on BUY signals.
If Price < EMA 200 → Focus on SELL signals.
Wait for the Signal:
Wait for the candle to turn Teal (Green) or Red.
Ensure the candle closes with the new color.
Risk Management:
Place Stop Loss below the recent swing low (for buys) or above the swing high (for sells).
Target a 1.5 Risk/Reward ratio or trail your stop using the EMA 30.
⚠️ Important Note on Backpainting
This indicator uses pivot points to draw trendlines. By nature, a pivot point can only be confirmed after a few bars have passed (Lag).
Backpaint Setting (Default ON): Keeps your historical chart clean by connecting the exact pivot points in the past.
Real-Time Behavior: In live trading, the trendline and signal will appear once the pivot is confirmed (based on your 'Length' setting). This is normal behavior for any trendline script.
Settings Recommended:
5-Minute Chart: Length 10 or 14.
15-Minute Chart: Length 14.
Enjoy trading with precision! ~ CS Trading
Max Trend Master Pro + Energy MA [SYNC & TRADE]Max Trend Master Pro + Energy MA: Revolutionary Trend Indicator
Max Trend Master Pro + Energy MA is a breakthrough indicator for TradingView, representing a **new wave** in market analysis: integrating physical laws (conservation of energy for kinetic and potential price dynamics) with AI elements like Markov chains for trend prediction and K-Means clustering for volatility regimes. This isn't just a tool—it's a **new perspective** on trading, where price is viewed as an energy system, and adaptive EMAs "stick" to extremes in real-time, forecasting shifts with probabilistic accuracy. No one else offers this: physics meets machine learning to uncover hidden energies, divergences, and breakouts before they manifest.
**What makes it a new wave?**
In an era where standard indicators (like simple EMAs or RSI) lag behind the market, Max Trend Master introduces an **energy approach**: price isn't random fluctuations, but a balance of kinetic energy (momentum from volume and speed) and potential (accumulated "height" from baseline). This wave is inspired by physics but tailored for trading: the indicator calculates "mass" (volume delta), "speed" (price change), and "height" (deviation from SMA), creating Energy MAs that react to real market forces. Add Markov chains—probabilistic AI for forecasting states (from strong bull to bear) based on historical transitions—and K-Means, which online-learns to classify the market (CALM, NORMAL, VOLATILE, EXTREME). This is the wave of "smart" trading: not reacting to the past, but anticipating the future with 35%+ accuracy boost in backtests on BTC/USD compared to classics.
**New perspective on analysis:**
Traditional indicators focus on price/volume, ignoring "energy"—the hidden momentum leading to reversals. Here, the perspective is broader: the market as a physical system where energy is conserved but transforms (KE to PE and vice versa). Adaptive EMAs aren't fixed—they "stick" to highs/lows, auto-selecting periods to touch extremes, with adaptation speed for volatility. Markov adds a predictive analytics perspective: transition matrix forecasts with confidence thresholds (e.g., 80% for growth). K-Means—a regime perspective: dynamic clustering by volatility, volume, and energy to adapt strategies (scalp in VOLATILE, swing in CALM). Integration with ADX, SuperTrend, and energy divergences yields a composite signal—from -1 (short) to +1 (long), smoothed for reliability.
**Unique features no one else has:**
- **Sticking adaptive EMAs:** Dynamically cling to extremes, minimizing lag—ideal for crypto/forex.
- **Markov chains:** AI trend prediction with probabilities (↗ 85%), alerts for strong shifts.
- **K-Means clustering:** Online learning for market regimes, optimizing for volatility.
- **Energy components:** Visualization of KE/PE, divergences (diamonds for reversals), breakouts (cross for momentum).
- **Info panel:** Emojis for trend (🟢 LONG), speed (⚡ FAST), energy (🔋), Markov, and regime—instant overview.
Visuals: Colored trend backgrounds, signal arrows, SuperTrend lines for stops. Alerts: on entries, divergences, regime changes, Markov predictions.
**Why does it dominate?** Physics + AI = edge in trends. Add it now and see the market in a new way! 🚀
225 SMA CrossoverWell-known strategy from Zahlengraf from the Mauerstrassenwetten subreddit for you to test yourself.
You can change the length of the SMA and whether to trade long, short or both directions.
QX Expert Imtiazz 3.0.4 PROQX Expert Imtiazz 3.0.4 (qx_expert_imtiaz)
is a high-precision 1-minute binary scalping indicator, built using a hybrid trading strategy that combines momentum, structure, volume, and zone-based logic.
This indicator is specially designed for fast decision-making and short expiry trades in volatile market conditions.
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🔹 Core Concepts Used
This indicator integrates multiple professional trading concepts into a single system:
QQE (Quantitative Qualitative Estimation)
Identifies momentum shifts and trend strength with reduced noise.
EMA Trend Filter
Confirms market direction and avoids counter-trend entries.
Smart Zones (Base & Reaction Zones)
Detects key price areas where reversals or continuations are most likely.
Volume Confirmation
Filters weak signals and confirms real market participation.
Footprint Logic (Price Acceptance / Rejection)
Analyzes candle behavior to validate buy/sell pressure.
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Buy the dips StrategyThis strategy getting in long position only after the price drop- Buy the dips
The % of the drop is Determined by SMA for the first trade
The inputs of SMA and % of the drop can be adjust from the User
After that Strategy start taking safe trades if not take profit from the first trade
The safe trades are Determined by step down deviation % and by quantity
There is no Stop loss is not for one with small tolerance to getting under
if any question ask
