Multi Cycles Predictive System ML - GBM IntegratedMulti-Cycle Predictive System: The Gradient Boosting Machine (GBM) Revolution
Introduction: The Death of Static Analysis
The financial markets are not static; they are a living, breathing, and chaotic system. Yet, for decades, traders have relied on static indicators—using the same RSI settings, the same MACD parameters, and the same Moving Averages regardless of whether the market is trending, chopping, or crashing.
The Multi-Cycle Predictive System (MCPS) represents a paradigm shift. It is not just an indicator; it is an Adaptive Machine Learning Engine running directly on your chart.
By integrating a fully functional Gradient Boosting Machine (GBM), this script does not guess—it learns. It monitors 13 distinct algorithmic models, calculates their real-time accuracy against future price action, and dynamically reallocates influence to the "winning" models using gradient descent.
This is Survival of the Fittest applied to technical analysis.
1. The Core Engine: Gradient Boosting & Adaptive Learning
At the heart of the MCPS is a custom-coded Gradient Boosting Machine. While most "ML" scripts on TradingView simply average a few indicators, this system replicates the architecture of advanced data science models.
How the GBM Works:
Ensemble Prediction: The system aggregates signals from 13 different mathematical models.
Residual Calculation: It compares the ensemble's previous predictions against the actual price movement (Price Return) to calculate the error (Residual).
Gradient Descent: It calculates the gradient of the loss function. We utilize a Huber Loss Gradient, which is robust against outliers (market spikes), ensuring the model doesn't overreact to volatility.
Weight Optimization: Using a configurable learning rate, the system updates the weights of each sub-algorithm. Models that predicted correctly gain weight; models that failed lose influence.
Softmax Normalization: Finally, weights are passed through a Softmax function (with Temperature control) to convert them into probabilities that sum to 1.0.
The "Winner-Takes-All" Philosophy
A common failure in ensemble systems is "Signal Dilution"—where good signals are drowned out by bad ones.
The MCPS solves this with Aggressive Weight Concentration:
Top 3 Logic: The script identifies the top 3 performing algorithms based on historical accuracy.
The 90% Rule: It forces the system to allocate up to 90% of the total decision weight to these top 3 performers.
Result: If Ehlers and Schaff are reading the market correctly, but MACD is failing, MACD is effectively silenced. The system listens only to the winners.
2. The 13 Algorithmic Pillars
The MCPS draws from a diverse library of Digital Signal Processing (DSP), Statistical, and Momentum algorithms. It does not rely on simple moving averages.
Ehlers Bandpass Filter: Isolates the dominant cycle in price data, removing trend and noise.
Zero-Lag EMA (ZLEMA): Reduces lag to near-zero to track momentum shifts instantly.
Coppock Curve: A classic long-term momentum indicator, modified here for adaptive responsiveness.
Detrended Price Oscillator (DPO): Eliminates the trend to identify short-term cycles.
Schaff Trend Cycle (STC): A double-smoothed stochastic of the MACD, excellent for identifying cycle turns.
Fisher Transform: Converts price into a Gaussian normal distribution to pinpoint turning points.
MESA Adaptive: Uses Maximum Entropy Spectral Analysis to detect the current dominant cycle period.
Goertzel Algorithm: A DSP technique used to identify the magnitude of specific frequency components in the price wave.
Hilbert Transform: Extracts the instantaneous amplitude and phase of the price action.
Autocorrelation: Measures the similarity between the price series and a lagged version of itself to detect periodicity.
Singular Spectrum Analysis (SSA): Decomposes the time series into trend, seasonal, and noise components (Simplified).
Wavelet Transform: Analyzes data at different scales (frequencies) simultaneously.
Empirical Mode Decomposition (EMD): Splits data into Intrinsic Mode Functions (IMFs) to isolate pure cycles.
3. The Dashboard: Total Transparency
Black-box algorithms are dangerous. You need to know why a signal is being generated. The MCPS features two detailed dashboards (tables) located at the bottom of your screen.
The Weight & Accuracy Table (Bottom Right)
This is your "Under the Hood" view. It displays:
Algorithm: The name of the model.
Accuracy: The rolling historical accuracy of that specific model over the lookback period (e.g., 58.2%).
Weight: The current influence that model has on the final signal. Watch this change in real-time. You will see the system "giving up" on bad models and "betting heavy" on good ones.
Prob/Sig: The raw probability and directional signal (Up/Down).
The GBM Stats Table (Bottom Left)
Tracks the health of the Machine Learning engine:
Iterations: How many learning cycles have occurred.
Entropy: A measure of market confusion. High entropy means weights are spread out (models disagree). Low entropy means the models are aligned.
Top 3 Weight: Shows how concentrated the decision power is. If this is >80%, the system is highly confident in specific models.
Confidence & Agreement: Statistical measures of the signal strength.
4. How to Trade with MCPS
This system outputs a single, composite Cycle Line (oscillating between -1 and 1) and a background Regime Color.
Strategy A: The Zero-Cross (Trend Reversal)
Bullish: When the Cycle Line crosses above 0. This indicates that the weighted average of the top-performing algorithms has shifted to a net-positive expectation.
Bearish: When the Cycle Line crosses below 0.
Strategy B: Probability Extremes (Mean Reversion)
Strong Buy: When the Cycle Line drops below -0.5 (Oversold) and turns up. This indicates a high-probability cycle bottom.
Strong Sell: When the Cycle Line rises above +0.5 (Overbought) and turns down.
Strategy C: Regime Filtering
The background color changes based on the aggregate consensus:
Green/Lime: Bullish Regime. Look primarily for Long entries. Ignore weak sell signals.
Red/Orange: Bearish Regime. Look primarily for Short entries.
Gray: Neutral/Choppy. Reduce position size or wait.
5. Configuration & GBM Settings
The script is highly customizable for advanced users who want to tune the Machine Learning hyperparameters.
Prediction Horizon: How many days into the future are we trying to predict? (Default: 3).
Accuracy Lookback: How far back does the model check to calculate "Accuracy"?
GBM Learning Rate: Controls how fast the model adapts.
High (0.2+): Adapts instantly to new market conditions but may be "jumpy."
Low (0.05): Very stable, long-term adaptation.
Temperature: Controls the "Softmax" function. Higher temperatures allow for softer, more distributed weights. Lower temperatures force a "Winner Takes All" outcome.
Max Top 3 Weight: The cap on how much power the top 3 models can hold (Default: 90%).
6. Technical Nuances (For the Geeks)
Huber Gradient: We use Huber loss rather than MSE (Mean Squared Error) for the gradient descent. This is crucial for financial time series because price spikes (outliers) can destroy the learning process of standard ML models. Huber loss transitions from quadratic to linear error, making the model robust.
Regularization: L2 Regularization is applied to prevent overfitting, ensuring the model doesn't just memorize past noise.
Memory Decay: The model has a "fading memory." Recent accuracy is weighted more heavily than accuracy from 200 bars ago, allowing the system to detect Regime Shifts (e.g., transitioning from a trending market to a ranging market).
Disclaimer:
This tool is a sophisticated analytical instrument, not a crystal ball. Machine Learning attempts to optimize probabilities based on historical patterns, but no algorithm can predict black swan events or fundamental news shocks. Always use proper risk management.
The "Warmup Period" is required. The script needs to process 50 bars of history before the GBM engine initializes and produces signals.
Author's Note:
I built the MCPS because I was tired of indicators that stopped working when the market "personality" changed. By integrating GBM, this script adapts to the market's personality in real-time. If the market is cycling, Ehlers and Goertzel take over. If the market is trending, Coppock and ZLEMA take the lead. You don't have to choose—the math chooses for you.
Please leave a boost and a comment if you find this helpful!
指標和策略
Joegtradez Custom High and Low Linescustom high/low lines used for intaday markouts can also be used to mark out sessions high/low works on all timeframes etc
Multi Asset & Multi Timeframe Trend DashboardOverview
The Multi-Asset & Multi-Timeframe Trend Dashboard is a comprehensive visual data terminal designed to provide a bird's-eye view of market sentiment across five different assets and seven distinct timeframes simultaneously. By consolidating 10 core technical indicators into a single table, it eliminates the need for "chart hopping" and helps traders identify high-probability trend alignment.
How It Works
The dashboard evaluates each asset based on a Scoring System ($-10$ to $+10$). For every timeframe, the script analyzes the following 10 conditions:
Trend: EMA 20 > EMA 50Macro
Trend: EMA 50 > EMA 200
Position: Price > EMA 200
MACD: MACD Line > Signal Line
MACD Momentum: MACD Histogram > 0
RSI Momentum: RSI(14) > RSI SMA(14)
RSI Level: RSI(14) > 50
Stochastics: Stoch K > D
CCI: Commodity Channel Index > 0
Awesome Oscillator: AO > 0
Visual Logic & Features
Indicator Dots (■): Represent the 10 individual technical conditions. Green indicates a bullish state; Red indicates a bearish state.
Trend Arrows (▲/▼): Displays the aggregate directional bias of a timeframe based on the sum of the 10 dots.
Neutral State (✖): If indicators are split 50/50 (Score of 0), a grey cross is displayed to indicate total market indecision.
"ALL" Column: A macro-summary that aggregates scores across all four primary timeframes.
Volatility Marker (•): A dot appearing next to the symbol name indicates that current ATR is higher than the historical average (user-defined threshold).
Market Status Color: The symbol name background turns Green if the market is currently open and active, and Red if it is closed or stagnant.
Technical Implementation
This script utilizes request.security calls to fetch data across timeframes. To ensure performance and prevent repainting issues, all security calls are handled using the barstate.islast flag to only render the dashboard on the most recent bar.
How to Use
Alignment Trading: Look for "Full House" scenarios where all arrows (15m through Daily) are the same color.
Scalping Bias: Use the "Mini Timeframes" (1m, 3m, 5m) to find entries that align with the higher timeframe trend shown in the main table.
Volatility Filter: Only take trades when the volatility marker (•) is active to ensure there is enough "power" in the move.
Sector Momentum Dashboard (3-1M / 6-1M / 12-1M, Compact)This indicator provides a compact sector‑momentum dashboard designed for ETF rotation and relative strength analysis. It calculates true daily momentum using three institutional lookback windows (3‑1M, 6‑1M, 12‑1M), allowing traders to evaluate short‑term, medium‑term, and long‑term sector leadership. The table ranks major US sector ETFs by momentum, highlights the strongest and weakest performers, and updates dynamically regardless of the chart timeframe. This tool is intended for traders who want a clear, efficient view of sector rotation trends to support tactical allocation, momentum strategies, and market‑strength assessment.
AiQ Drama Channel [VIP MEMBER ONLY]AiQ PREMIUM Designed by KS
AiQ PREMIUM is not just an indicator; it is a complete, visually immersive trading ecosystem designed for traders who demand precision, aesthetics, and data-driven confidence.
Built upon advanced Fractal Adaptive Moving Average (FRAMA) logic and fused with a proprietary volatility engine, AiQ PREMIUM filters out market noise to reveal high-probability institutional setups.
💎 Core Features
1. DRAMA Volatility Engine (D-FRAMA) Unlike standard Moving Averages, our adaptive algorithm adjusts to market fractal dimensions. It tightens during consolidation to avoid false signals and expands during trends to capture the full move.
2. Multi-Timeframe (MTF) Matrix Stop guessing the trend. The built-in "Trend Matrix" scans M5, M15, M30, H1, and H4 timeframes in real-time. Signals are only generated when there is a confluence of momentum.
3. AiQ Confidence Score & Win Rate The dashboard calculates a dynamic Confidence Score (1-5 Stars) based on historical performance, trend alignment, and volatility strength.
⭐⭐⭐⭐⭐ = Strong Institutional Alignment
⭐ = Risky / Counter-trend
4. Auto-Fibonacci Extensions & Risk Management
Smart Entries: Clear visual signals with glassmorphism UI.
Dynamic Risk: SL/TP are calculated using ATR (Average True Range) to adapt to market volatility.
Auto Targets: Automatically projects TP1, TP2, TP3 (Fib 2.618), and TP4 (Fib 4.236).
5. Premium Visual Experience Choose your trading personality with our Theme Engine:
🏆 Black Gold: Luxury, high-contrast dark mode.
🦄 Cyber Neon: Modern, vibrant aesthetics.
⚪ Clean Quant: Minimalist institutional look.
🛠️ How to Use
Wait for the Signal: Look for the 🚀 LONG SETUP or 🚀 SHORT SETUP badge.
Check the Stars: Ideally, take trades with 3 stars or above on the dashboard.
Confirm with Matrix: Ensure the MTF Matrix (Top Right) shows "BULL" for Longs or "BEAR" for Shorts on higher timeframes (H1/H4).
Manage the Trade:
Secure partial profits at ✅ TP1.
Move SL to Breakeven at ✅ TP2.
Let runners fly to ✅ TP3 and ✅ TP4.
⚠️ Disclaimer - Trading involves high risk. This tool is designed to assist your analysis, not to replace it. Past performance is not indicative of future results. Always use proper risk management.
HV and IMP candle finderHV and IMP candle finder
Highest volume candle (HV) and Important candle (IMP) are usually a traces of institutional activity. We can take help of these candles to form a bias for the next trading day.
This script does the following:
1. Finds the IMP candle for a given day range with the trend of a given day, ie it finds highest volume candle between the high and low of the day and marks as IMP on the chart
2. It finds the highest volume candle for a given day and marks it.
Use case:
Spot institutional activity, accumulation, and key intraday pivot candles.
View can be made by seeing this HH and LL in these volume candles. Also by considering the closing and opening for the price the next trading session.
Notes
Best to be used on 5 min TF for after market analysis. It does get the candles in live market but it might change with time.
Works really best when delivery volume is also analysed along with it.
Made with Love.
Regards,
Jitendra Varma
Segment 4h modifiable via inputsSegment 4h modifiable via inputs : pour positionner un segment n'importe ou en modifiant le prix pour la hauteur dans la configuration et déplaçable facilement à la souris temporellement.
4-hour segment modifiable via inputs: to position a segment anywhere by modifying the price for the height in the configuration and easily movable with the mouse in terms of time
Gann Square (Weekly) + Auto-Fit Helper v6Helps show best fit for the Gann Square on the weekly log scale chart
14SMA13 20/30/50 First Order AppearanceIn white, it's a buy signal, and in orange, it's a sell signal.
The signal is given when the simple moving averages 20+30+50 cross.
To confirm entry, wait for a volume candle that breaks through the 50-period simple moving average of volume, whether for buying or selling.
You set your selling targets according to your own analysis method.
Levels by EVThis indicator plots a clean set of commonly used reference levels on the chart, including the prior day high and low (PDH/PDL), the current day open (DO), prior week high and low (PWH/PWL), prior month high and low (PMH/PML).
Daily, weekly, and monthly levels are sourced from their respective higher timeframes to keep the values stable and consistent across intraday charts. Session ranges are calculated using a selectable timezone and are updated in a controlled way to avoid unnecessary object creation and chart clutter. An optional setting allows developing session highs and lows to update while the session is active, or you can keep session levels fixed once the session ends.
Use these levels as context for liquidity, support/resistance, and session structure. Labels can be enabled or disabled, and can optionally be kept on the right edge so the chart remains readable on any zoom level.
Precision Trend Signal V5Strategy Logic OverviewThis indicator is a "Triple-Confirmation" trend-following system. It combines volume-weighted smoothing, immediate price action, and momentum filtering.1. Core ComponentsEMA 1 (The Trigger): Since the period is set to 1, this represents the raw price action. It acts as the fastest possible trigger to capture entries at the exact moment a trend shifts.SALMA (The Baseline): This is a double-smoothed moving average. It provides a stabilized support/resistance line that filters out market noise better than a standard SMA.Tillson T3 (The Trend Filter): Known for its low lag and extreme smoothness. We use this as a "Guardrail." We only take BUY signals when price is above the T3 and SELL signals when price is below it.RSI (The Momentum Filter): Ensures that we only enter a trade when there is sufficient strength ($> 50$ for Long, $< 50$ for Short).2. Signal Rules🚀 BUY SignalA green BUY label appears when:Crossover: EMA 1 crosses above the SALMA line.Trend: The current price is trading above the Tillson T3 line.Momentum: RSI is greater than 50.🔻 SELL SignalA red SELL label appears when:Crossunder: EMA 1 crosses below the SALMA line.Trend: The current price is trading below the Tillson T3 line.Momentum: RSI is less than 50.3. Execution & ManagementTake Profit (TP): Based on your preference, the suggested target is 2%.Alerts: The script includes alertcondition functions. You can set up TradingView alerts to send Webhooks to your quant infrastructure or bot, solving the "manual execution" problem you mentioned.
Volume Bubbles by EV Volume Bubbles visualizes high-activity candles using chart bubbles placed at an estimated intrabar origin point derived from lower timeframe data. When enabled, the script uses lower timeframe OHLC to approximate directional volume delta and selects an origin candle inside the parent bar using one of several methods. A relative-volume filter based on the parent bar can be used to reduce noise, and bubble size can be mapped to relative volume to highlight unusually active bars. If intrabar data is unavailable, the script can fall back to placing bubbles on the parent bar to keep behavior consistent. For best stability, the “Only confirmed bars” option is recommended.
eBacktesting - Learning: FVGeBacktesting - Learning: FVG is an indicator in the eBacktesting Learning series: a collection of tools designed to help new traders understand the most important concepts in trading through clear, visual examples directly on the chart.
This indicator highlights Fair Value Gaps (FVGs): areas where price moved so quickly that it left behind an imbalance. These zones often act like "magnets" for future price action and can become important areas to watch for reactions, continuations, or reversals.
To keep the chart clean and the learning process practical, FVGs are only displayed when they remain relevant, meaning they are not instantly cleared by the very next candle. This helps beginners focus on the imbalances that actually persist and are more likely to matter.
Each FVG is drawn as a zone with a midpoint line and will visually update as price interacts with it:
Touched when price trades into the zone
Filled when price completely clears the zone
These indicators are built to pair perfectly with eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
SMA by EVEV Simple Moving Average (SMA) is a lightweight, open-source SMA indicator with configurable length, price source, and visual offset. It is designed to provide a clean moving-average reference for trend context and mean reversion workflows on any market and timeframe. The offset parameter shifts the plotted line for visualization only and does not affect the underlying calculation.
Gaps-Trendlines-CHOCH-BOS By @crypto_alphabitBINANCE:BTCUSDT
This indicator includes .....
1) Fair value gaps ...
* Bullish gaps
* Bearish gaps
* Automatically removed when the gaps filled
* Gaps color can be changed from setting
2) Recent Trend lines
* Higher trend lines ( from high to high)
* Lower trend lines ( from low to low )
* Higher trend lines breakout ( Bullish Breakout)
* Lower trend lines breakout ( bearish Breakout)
* Coloring breakout candle
* Colors can be changed from setting
* Swing lookback can be changed from setting
* Alert for Bullish Breakout
* Alert for Bearish Breakout
3) COCH & BOS
* Bullish Change of character
* Bearish change of character
* Bullish break of structure
* Bearish break of structure
* Swing lookback can be changed from setting
* Keeping specific number of last drawings
* keeping and removing exact ( CHOCH or BOS) can be managed from setting
* Colors can be changed from setting
* Alert for Bullish CHOCH
* Alert for Bearish CHOCH
* Alert for Bullish BOS
* Alert for Bearish BOS
Thank you for reading .... by @Crypto_alphabit
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.
CIRRUS strategyVWAP EMA CROSS VOLUME STRATEGY WITH TIME FILTER
with this indicator you will be able to use a free strategy using selected volume , emas and vwaps using the timeframe filter too
Atilla EMA Cloud PRO (FINAL - FIXED)Atilla EMA Cloud PRO (FINAL – FIXED) is a professional trend-filtering indicator designed to eliminate noise and keep traders out of low-probability, sideways markets.
This indicator is built around a multi-EMA structure (EMA 9 / 21 / 35 / 55) combined with an ATR-based sensitivity filter and candle confirmation logic. Its primary goal is not to generate constant signals, but to clearly define when the market is worth trading — and when it is not.
Key Features:
Advanced EMA Cloud that defines clear NO-TRADE ZONES
ATR-based sideways market detection to suppress fake trends
Trend confirmation using momentum + candle structure
Adjustable sensitivity for different market conditions
Optimized for 15-minute charts, suitable for both crypto and forex
Designed to favor quality over quantity
How to use:
Trade only when price is outside the EMA Cloud
Ignore signals during gray / flat conditions
Focus on sustained color changes confirmed by EMA alignment
Best used with proper risk management and higher timeframe context
This indicator does not chase every move.
It waits for structure, momentum, and clarity.
Built for traders who value discipline, patience, and consistency over noise.
Ultimate Futures Daytrade Suite v1 - The Strategy GuideHere is the complete **Strategy Guide** translated into English.
---
# 📘 Ultimate Futures Daytrade Suite – The Strategy Guide
### 1. The Visual Legend (What is what?)
Before you trade, you need to understand the hierarchy of your lines. Not every line has the same importance.
* **🟣 Daily EMA 50 (Neon Violet):** The **"Big Boss"**. It determines the **Macro Trend**.
* *Price above:* We are primarily looking for Longs.
* *Price below:* We are primarily looking for Shorts.
* **🟢 4h EMA 50 (Neon Green):** The **"Swing Trend"**. Your most important level for **Pullback Entries** (Re-entries).
* **🟡 POC (Gold) & TPO:** The **"Magnet"**. Price often returns here.
* *Rule:* Never open a trade directly *on* the POC (Risk of "Chop"). Use it as a **Target** (Take Profit).
* **🟠 IB High/Low (Orange Lines):** The **"Daily Structure"**.
* A breakout from the IB (Initial Balance) often indicates the trend direction for the day.
* **🟥/🟩 Boxes (Supply/Demand):** Resistance and Support zones from the 1h timeframe.
* **⬜ FVG Boxes:** "Gaps" in the market that are often filled.
---
### 2. The Trading Workflow (Top-Down Method)
Go through this mental checklist before every trade:
#### Step 1: Trend Check (The Traffic Light)
Look at the **Violet Line (Daily)** and the **Green Line (4h)**.
* **Bullish:** Price is above Violet AND above Green. -> *Focus: Buy dips.*
* **Bearish:** Price is below Violet AND below Green. -> *Focus: Sell rallies.*
* **Mixed:** Price is between Violet and Green. -> *Caution! Market is undecided (Range Trading).*
#### Step 2: Location (The Context)
Where is the price currently located?
* Are we at a **Green Demand Zone**?
* Are we testing the **4h EMA 50 (Green)** from above?
* Are we at the **VWAP**?
* *Never trade in "No Man's Land"!* Wait until the price touches one of your lines.
#### Step 3: Trigger (The Execution)
Now zoom into your lower timeframe (e.g., 5min or 15min).
* Wait for a reaction at the zone.
* Use the **EMA 9 (Yellow)** as a momentum trigger. If price breaks the EMA 9 and closes above/below it, that is your "Go".
---
### 3. The Setup Blueprints
Here are the two most profitable scenarios you can trade with this script:
#### A) The "Golden Trend" Setup (Long)
* **Context:** Price > **Daily EMA (Violet)**.
* **Preparation:** Price corrects (drops) back to the **4h EMA 50 (Green)** or to the **VWAP**.
* **Confluence:** Ideally, there is also a **Demand Zone (Green Box)** or an **FVG** at that level.
* **Entry:** As soon as a candle touches the zone and closes bullish again (or reclaims the EMA 9).
* **Stop-Loss:** Below the 4h EMA 50.
* **Take-Profit:** Next **Supply Zone (Red)** or the **IB High (Orange)**.
#### B) The "Daytrade Breakout" (Intraday)
* **Context:** Price opens inside yesterday's Value Area.
* **Signal:** Price breaks through the **IB High (Orange)** with momentum.
* **Filter:** Price must be above the **VWAP**.
* **Entry:** On the retest of the IB High or directly on the breakout.
* **Target:** Price often trends in that direction for the rest of the day.
---
### 4. Warning Signals (When NOT to trade)
1. **The "Concrete Ceiling":** If you want to go Long, but the **Violet Daily EMA 50** is running directly above you. This is massive resistance. Better wait until it is broken.
2. **The "POC Dance":** If price is dancing sideways around the **Gold Line (POC)**. This is a "No-Trade Zone". Day traders lose the most money here due to fees and whipsaws.
3. **Overextension:** If price is extremely far away from the **4h EMA 50 (Green)** (Rubber Band Effect). Do not enter in the trend direction here; wait for a pullback to the line.
### Summary
Your chart is now telling you a story:
* **Violet** tells you the Direction.
* **Green** gives you the Entry.
* **Red/Green Boxes** show you the Obstacles.
* **Yellow (EMA 9)** gives you the Timing.
Good luck with the Suite! This is a setup similar to what institutional traders use.
