XAU BUY/SELL Scalping Strategy M5 PROFX:XAUUSD
This XAU/USD Pro Scalping Strategy is tailored specifically for the M5 timeframe , designed to capture rapid Gold price movements. Instead of relying on lagging indicators, this system utilizes advanced Price Action and Market Structure analysis to identify high-probability entry zones.
The core strength of this strategy lies in its built-in Money Management engine and Multi-threaded Trailing Stop system, ensuring capital preservation and profit maximization.
🚀 Key Features:
1. Smart Price Action Recognition:
The algorithm scans for specific market scenarios to apply dynamic Risk:Reward ratios (ranging from 1:1 to 1:3).
Filters out noise and false breakouts using multi-candle analysis.
Auto Position Sizing:
Calculates trade quantity automatically based on your defined Risk % per Trade .
Ensures consistent risk management regardless of the Stop Loss distance.
Intelligent Trailing Stop:
Uses a dynamic trailing mechanism based on "R" multiples (Risk Units).
Automatically secures profits by moving SL based on the specific setup type ("Case") of each trade.
Safety Filters:
Min SL and Max SL inputs prevent trades during periods of extremely low volatility or excessive risk.
⚙️ Settings:
Risk % per Trade: The percentage of equity to risk per trade (Recommended: 1.0% - 2.0%).
Min/Max SL Points: Dynamic boundaries for Stop Loss to adapt to current market volatility.
💡 Recommendations:
Symbol: XAUUSD / Gold - FXCM.
Timeframe: M5.
Best performance during London and New York sessions.
Concept
LJ Parsons Harmonic Time StampsPurpose of the Script
This script is designed to divide a specific time period on a market chart (from startDate to endDate) into fractional segments based on mathematically significant ratios. It then plots vertical lines at the first candle that occurs at or after each of these fractional timestamps. Each line is labeled according to an interval scheme, as outlined by LJ Parsons
"Structured Multiplicative, Recursive Systems in Financial Markets"
papers.ssrn.com
Providing a symbolic mapping of time fractions
zenodo.org
Start (00) and End (00): Marks the beginning and end of the period.
Intermediate labels (m2, M2, m3, M3, …): Represent divisions of the time period that correspond to specific fractions of the whole.
This creates a visual “resonance map” along the price chart, where the timing of price movements can be compared to mathematically significant points.
Parsons Market Resonance Theory proposes that markets move in patterns that are not random but resonate with underlying mathematical structures, analogous to logarithmic relationships. The key ideas reflected in this script are:
Temporal Fractional Resonance
By marking fractional points of a defined time period, the script highlights potential moments when market activity might “resonate” due to cyclical patterns. These points are analogous to overtones in music—certain times may have stronger market reactions.
Mapping Market Movements to "Just Intonation" Intervals
Assigning Interval labels to fractional timestamps provides a symbolic framework for understanding market behaviour. For example, the midpoint (P5) may correspond to strong market turning points, while minor or major intervals (m3, M6) might correspond to subtler movements.
Identifying Potentially Significant Points in Time
The plotted lines do not predict price direction but rather identify temporal markers where price movements may be more likely to display structured behaviour. Traders or researchers can then study price reactions around these lines for correlations with market resonance patterns.
In essence, the script turns a period of time into a harmonic structure, with each line and label acting like a “note” in the market’s temporal symphony. It’s a tool to visualize and test whether price behaviour aligns with the resonant fractions hypothesized in MRT.
Focus On Work time (Tehran)If you only want to analyze the market during specific working hours and ignore the rest, this indicator is for you. It lets you hide or highlight non-working times on your chart, so you can focus only on the sessions that matter to you.
Just set your start time and end time for the work session.
By default, the time is set to UTC+3:30 (Tehran time), but you can change it to any timezone you like.
RSI Slope per Bar (Realtime, Delta / LR) + AlertsSignal BUY & SELL by using the Slope of RSI which parameter can be adjusted.
XAUUSD 9/1 and 6/4 zone lane chart (BUY zone and SELL zone)XAUUSD 9/1 and 6/4 zone lane chart (BUY zone and SELL zone)
RSI Forecast Colorful [DiFlip]RSI Forecast Colorful
Introducing one of the most complete RSI indicators available — a highly customizable analytical tool that integrates advanced prediction capabilities. RSI Forecast Colorful is an evolution of the classic RSI, designed to anticipate potential future RSI movements using linear regression. Instead of simply reacting to historical data, this indicator provides a statistical projection of the RSI’s future behavior, offering a forward-looking view of market conditions.
⯁ Real-Time RSI Forecasting
For the first time, a public RSI indicator integrates linear regression (least squares method) to forecast the RSI’s future behavior. This innovative approach allows traders to anticipate market movements based on historical trends. By applying Linear Regression to the RSI, the indicator displays a projected trendline n periods ahead, helping traders make more informed buy or sell decisions.
⯁ Highly Customizable
The indicator is fully adaptable to any trading style. Dozens of parameters can be optimized to match your system. All 28 long and short entry conditions are selectable and configurable, allowing the construction of quantitative, statistical, and automated trading models. Full control over signals ensures precise alignment with your strategy.
⯁ Innovative and Science-Based
This is the first public RSI indicator to apply least-squares predictive modeling to RSI calculations. Technically, it incorporates machine-learning logic into a classic indicator. Using Linear Regression embeds strong statistical foundations into RSI forecasting, making this tool especially valuable for traders seeking quantitative and analytical advantages.
⯁ Scientific Foundation: Linear Regression
Linear regression is a fundamental statistical method that models the relationship between a dependent variable y and one or more independent variables x. The general formula for simple linear regression is:
y = β₀ + β₁x + ε
where:
y = predicted variable (e.g., future RSI value)
x = explanatory variable (e.g., bar index or time)
β₀ = intercept (value of y when x = 0)
β₁ = slope (rate of change of y relative to x)
ε = random error term
The goal is to estimate β₀ and β₁ by minimizing the sum of squared errors. This is achieved using the least squares method, ensuring the best linear fit to historical data. Once the coefficients are calculated, the model extends the regression line forward, generating the RSI projection based on recent trends.
⯁ Least Squares Estimation
To minimize the error between predicted and observed values, we use the formulas:
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables.
⯁ Linear Regression in Machine Learning
Linear regression is a foundational component of supervised learning. Its simplicity and precision in numerical prediction make it essential in AI, predictive algorithms, and time-series forecasting. Applying regression to RSI is akin to embedding artificial intelligence inside a classic indicator, adding a new analytical dimension.
⯁ Visual Interpretation
Imagine a time series of RSI values like this:
Time →
RSI →
The regression line smooths these historical values and projects itself n periods forward, creating a predictive trajectory. This projected RSI line can cross the actual RSI, generating sophisticated entry and exit signals. In summary, the RSI Forecast Colorful indicator provides both the current RSI and the forecasted RSI, allowing comparison between past and future trend behavior.
⯁ Summary of Scientific Concepts Used
Linear Regression: Models relationships between variables using a straight line.
Least Squares: Minimizes squared prediction errors for optimal fit.
Time-Series Forecasting: Predicts future values from historical patterns.
Supervised Learning: Predictive modeling based on known output values.
Statistical Smoothing: Reduces noise to highlight underlying trends.
⯁ Why This Indicator Is Revolutionary
Scientifically grounded: Built on statistical and mathematical theory.
First of its kind: The first public RSI with least-squares predictive modeling.
Intelligent: Incorporates machine-learning logic into RSI interpretation.
Forward-looking: Generates predictive, not just reactive, signals.
Customizable: Exceptionally flexible for any strategic framework.
⯁ Conclusion
By combining RSI and linear regression, the RSI Forecast Colorful allows traders to predict market momentum rather than simply follow it. It's not just another indicator: it's a scientific advancement in technical analysis technology. Offering 28 configurable entry conditions and advanced signals, this open-source indicator paves the way for innovative quantitative systems.
⯁ Example of simple linear regression with one independent variable
This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables.
⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x)
This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component.
⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab
Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models.
⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted
This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model.
⯁ Result of fitting a set of data points with a quadratic function
This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line.
⯁ What Is RSI?
The RSI (Relative Strength Index) is a technical indicator developed by J. Welles Wilder. It measures the velocity and magnitude of recent price movements to identify overbought and oversold conditions. The RSI ranges from 0 to 100 and is commonly used to identify potential reversals and evaluate trend strength.
⯁ How RSI Works
RSI is calculated from average gains and losses over a set period (commonly 14 bars) and plotted on a 0–100 scale. It consists of three key zones:
Overbought: RSI above 70 may signal an overbought market.
Oversold: RSI below 30 may signal an oversold market.
Neutral Zone: RSI between 30 and 70, indicating no extreme condition.
These zones help identify potential price reversals and confirm trend strength.
⯁ Entry Conditions
All conditions below are fully customizable and allow detailed control over entry signal creation.
📈 BUY
🧲 Signal Validity: Signal remains valid for X bars.
🧲 Signal Logic: Configurable using AND or OR.
🧲 RSI > Upper
🧲 RSI < Upper
🧲 RSI > Lower
🧲 RSI < Lower
🧲 RSI > Middle
🧲 RSI < Middle
🧲 RSI > MA
🧲 RSI < MA
🧲 MA > Upper
🧲 MA < Upper
🧲 MA > Lower
🧲 MA < Lower
🧲 RSI (Crossover) Upper
🧲 RSI (Crossunder) Upper
🧲 RSI (Crossover) Lower
🧲 RSI (Crossunder) Lower
🧲 RSI (Crossover) Middle
🧲 RSI (Crossunder) Middle
🧲 RSI (Crossover) MA
🧲 RSI (Crossunder) MA
🧲 MA (Crossover)Upper
🧲 MA (Crossunder)Upper
🧲 MA (Crossover) Lower
🧲 MA (Crossunder) Lower
🧲 RSI Bullish Divergence
🧲 RSI Bearish Divergence
🔮 RSI (Crossover) Forecast MA
🔮 RSI (Crossunder) Forecast MA
📉 SELL
🧲 Signal Validity: Signal remains valid for X bars.
🧲 Signal Logic: Configurable using AND or OR.
🧲 RSI > Upper
🧲 RSI < Upper
🧲 RSI > Lower
🧲 RSI < Lower
🧲 RSI > Middle
🧲 RSI < Middle
🧲 RSI > MA
🧲 RSI < MA
🧲 MA > Upper
🧲 MA < Upper
🧲 MA > Lower
🧲 MA < Lower
🧲 RSI (Crossover) Upper
🧲 RSI (Crossunder) Upper
🧲 RSI (Crossover) Lower
🧲 RSI (Crossunder) Lower
🧲 RSI (Crossover) Middle
🧲 RSI (Crossunder) Middle
🧲 RSI (Crossover) MA
🧲 RSI (Crossunder) MA
🧲 MA (Crossover)Upper
🧲 MA (Crossunder)Upper
🧲 MA (Crossover) Lower
🧲 MA (Crossunder) Lower
🧲 RSI Bullish Divergence
🧲 RSI Bearish Divergence
🔮 RSI (Crossover) Forecast MA
🔮 RSI (Crossunder) Forecast MA
🤖 Automation
All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies.
⯁ Unique Features
Linear Regression Forecast
Signal Validity: Keep signals active for X bars
Signal Logic: AND/OR configuration
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Chart Labels: BUY/SELL markers above price
Automation & Alerts: BUY/SELL
Background Colors: bgcolor
Fill Colors: fill
Linear Regression Forecast
Signal Validity: Keep signals active for X bars
Signal Logic: AND/OR configuration
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Chart Labels: BUY/SELL markers above price
Automation & Alerts: BUY/SELL
Background Colors: bgcolor
Fill Colors: fill
ahax – CRT V0 ahax – CRT V0 is an enhanced CRT indicator that works on candlestick formations and generates BUY/SELL signals when certain conditions are met.
In this version, the classic CRT logic has been supplemented with additional controls for more stable operation, with a particular focus on reducing unnecessary signals. Each signal is generated based on the middle candlestick, and confirmation signals (+/-) can be displayed, if desired, based on the close of the next candle.
The indicator works based on the relationship between the left candlestick, the middle candlestick, and the right candlestick. It provides quick visual feedback on points such as trend reversals, potential manipulation, or reaction zones.
It is designed to be simple, clear, and clean, allowing you to adapt it to your own strategy.
It does not include any risk management or trading recommendations.
QX Expert Imtiazz 3.0.4 ProMade For Binary 1 Munite
This indicator combines QQA, EMA trend filters, volume strength, and liquidity zone detection to create a powerful trading system. It analyzes market momentum using QQA, confirms trend direction with EMA, and identifies key liquidity areas where price often reacts.
The indicator provides Buy and Sell signals based on trend, volume pressure, and liquidity behavior.
Chapter-1 :: Opening is Everything Power Of Opening
Trade with the institutions at the open of the day by identifying the critical "No-Trade Zone." This indicator automates the powerful "Law of Momentum" to filter out false moves and pinpoint high-probability breakouts based on the previous day's momentum.
🎯 Core Concept: The Law of Momentum
Sir Isaac Newton’s law applies to markets: "An object in motion tends to stay in motion." After a solid green or red bar, the market will follow through 80-90% of the time. This indicator uses the previous day's momentum to predict the next day's opening direction.
⚙️ How It Works
Marks the "Fantastic Zone F4": At the market open, the indicator plots a dynamic zone on your 2-minute chart.
Calculates the Zone: The upper and lower bounds of this zone are derived from a composite of key levels from the previous day's close:
Previous Day Close (PDC)
20 & 200 Simple Moving Averages (SMA) on the 2-min chart
The high and low of the last 30-minute bar of the previous day
Defines the "Trap": The area between the upper and lower zone lines is the NO-TRADE ZONE. Trading here is dangerous as price is consolidating and direction is uncertain.
🚀 Simple Trading Strategy
If Previous Day was a GREEN Bar:
✅ BUY on a 2-minute candle breakout and close ABOVE the Upper Zone line.
If Previous Day was a RED Bar:
✅ SELL on a 2-minute candle breakdown and close BELOW the Lower Zone line.
Ignore all signals that occur inside the zone. Wait for a clear, decisive break.
🔧 Indicator Settings
Show Trap Zone Label: Toggles the "☠️ NO-TRADE ZONE ☠️" label on/off.
Show Timeframe Reminder: Alerts you if you are not on the required 2-minute timeframe.
Minutes Before Close: Adjusts the lookback period to define the previous day's high/low (default: 30 minutes).
Show Breakout Signals: Plots visual markers (e.g., arrows) on the chart when a valid breakout occurs.
💡 Why It's Effective
This strategy combines three powerful concepts:
Market Momentum: It statistically favors the previous day's trend continuing.
Institutional Footprint: The "Fantastic Zone" is built from levels that institutions watch.
Patience & Discipline: By clearly defining a no-trade zone, it prevents you from entering choppy, low-odds trades and forces you to wait for a confirmed move.
Recommended Timeframe: 2 MINUTES
Disclaimer: This tool is for educational and informational purposes only. All trading involves risk. Past performance is not indicative of future results.
How to Request Access (for Invite-Only)
---------------------------------------
If you are interested in using this indicator, send a request to the author (via private message or platform-specified method). Once approved, you will be added to the authorised users list and granted access.
Disclaimer
----------
Using this script (or any indicator) carries risk. Past price levels, zones or breakout signals are not a guarantee of future performance. Always use proper position sizing, stop-loss, and overall risk management. The author is not responsible for any trading losses.
RSI Price Action Hunter [AlgoSystem]A combined indicator designed to identify precise trend reversal points. The algorithm filters RSI overbought and oversold signals by confirming them with powerful candlestick patterns (Bullish and Bearish Engulfing).
How it works: The indicator solves the main issue with RSI—false counter-trend signals. An entry signal is generated only when two conditions are met simultaneously:
RSI hits extreme zones: The price is in the overbought (default >70) or oversold (<30) zone.
Candlestick Confirmation: An "Engulfing" pattern forms, indicating a genuine shift in market sentiment.
Key Features:
Buy/Sell Signals: Clear labels on the chart when conditions align.
Zone Visualization: Background highlighting (Green/Red) at the moment of the signal for better visibility.
Flexible Settings: Adjustable RSI period, Overbought/Oversold levels, and pattern filters.
Alerts: Built-in alert system for App or Email notifications.
Settings:
RSI Length: RSI indicator period (default is 7 for faster reaction).
Overbought/Oversold: Boundary levels (70/30).
Patterns: Enable/Disable Engulfing filter.
Exit Zone: Visual hint for the estimated exit zone (in %).
Usage Strategy: Use this tool for Swing Trading reversals or to find pullbacks within a global trend. It works best on timeframes from 15m to 4h.
Maximus imbalance
Maximus imbalance – Indicator Description
Maximus Precision Arrows is an advanced directional signal tool designed for high-accuracy intraday trading.
It detects early BUY and SELL shifts by combining:
• Delta Imbalance Analysis
• Volume-Normalized Pressure (Buy vs Sell Power)
• Trend Confirmation (MA20 / MA50)
• Signal Strength Ratio Filtering
• Smart Gap Control to avoid over-signaling
How it works
The indicator measures real-time buying and selling pressure (Delta), normalizes it by volume, and filters it through trend direction and strength-ratio logic.
Signals only appear when there is:
• A strong directional imbalance
• Confirmed trend alignment
• Valid momentum breakout
• Enough distance from the previous signal (noise reduction)
What the arrows mean
• Green Triangle (BUY):
Strong positive delta shift + bullish imbalance + price aligned with trend.
• Red Triangle (SELL):
Strong negative delta shift + bearish imbalance + price aligned with downtrend.
Best use
• Intraday scalping (1m–15m)
• Options trading (SPX, QQQ, NVDA, AAPL, futures)
• Identifying early reversals & continuation spots
• Filtering noise during consolidation
Important notes
• Signals are filtered to avoid choppy conditions.
• Works on any market, including equities, indices, futures, and CFDs.
• Not a repainting indicator.
🎯 Advanced Scalping Indicator - Triple ConfirmationThis is the High Probability Scalping Indicator
Risk Reward: 1:2/3/4 or keep trailing SL
Simplified WMA Ribbon · Majority Rule StrategyThis strategy is a simplified WMA-ribbon “majority rule” system. It compares five fast WMAs (10–30) with five slow WMAs (70–90) and counts how many bullish or bearish pairs are strongly separated by a small ε-buffer. A long (short) position is opened only when a bullish (bearish) majority is reached and closed when that majority weakens or an opposite majority appears. Position size is calculated from a fixed USD amount and leverage, candles are colored by current position, and a mini dashboard shows the number of bullish/bearish pairs and the current status (LONG / SHORT / FLAT).
GraalSTRATEGY DESCRIPTION — “GRAAL”
GRAAL is an advanced algorithmic crypto-trading strategy designed for trend and semi-trend market conditions. It combines ATR-based trend/flat detection, dynamic Stop-Loss and multi-level Take-Profit, break-even (BE) logic, an optional trailing stop, and a “lock-on-trend” mechanism to hold positions until the market structure truly reverses.
The strategy is optimized for Binance, OKX and Bybit (USDT-M and USDC-M futures), but can also be used on spot as an indicator.
Core Logic
Trend Detection — dynamic trend zones built using ATR and local high/low structure.
Entry Logic — positions are opened only after trend confirmation and a momentum-based local trigger.
Exit Logic:
fixed TP levels (TP1/TP2/TP3),
dynamic ATR-based SL,
break-even move after TP1 or TP2,
optional trailing stop.
Lock-on-Trend — positions remain open until an opposite trend signal appears.
Noise Protection — flat filter disables entries during low-volatility conditions.
Key Advantages
Sophisticated and reliable risk-management system.
Minimal false entries due to robust trend filtering.
Optional trailing logic to maximize profit during strong directional moves.
Works well on BTC, ETH and major altcoins.
Easily adaptable for various timeframes (1m–4h).
Supports full automation via OKX / WunderTrading / 3Commas JSON alerts.
Recommended Use Cases
Crypto futures (USDT-M / USDC-M).
Intraday trading (5m–15m–1h).
Swing trading (4h–1D).
Fully automated signal-bot execution.
Important Notes
This is an algorithmic strategy, not financial advice.
Strategy Tester performance may differ from real execution due to liquidity, slippage and fees.
Always backtest and optimize parameters for your specific market and asset.
Recommended Settings: LONG only, no TP, no SL, Flat Policy: Hold, TP3 Mode: Trend, Trailing Stop 1.2%, Fixed size 100 USD, Leverage 10×, ATR=14, HH/LL=36.
Hamaada RangeThis indicator plots the Daily DR/IDR range (19:30–23:00 NY) for each weekday, Monday to Friday.
It automatically draws the Daily Range (DR) and Initial Daily Range (IDR) highs, lows, midlines, and opening price.
Each day’s DR/IDR box extends into the following session for clarity and projection.
All lines and colors are fully customizable per-day.
Tracks 3-bar swings after the DR window closes.
Automatically detects when price violates the DR high or low.
Draws a “Swing Violation Line” from the last valid swing to the end of the extension period.
Friday DR extends to next Monday and supports cross-week swing violation detection.
Background shading, labels, and opening lines are optional.
Designed for precision session modeling in NY timezone (America/New_York recommended).
Smart Money OB FVG
Smart Money OB FVG Strategy — Full Description
🔷 Advanced Order Block + Multi-TF FVG + Liquidity Sweep + Auto TP/SL
A Complete Smart Money Concept Trading System
This script combines multiple professional Smart Money tools into a single, optimized and non-repainting engine. Designed for scalpers, intraday traders, swing traders, and algorithmic strategy users.
🔥 Key Features
✔ Intelligent Order Block Engine (IOB)
Automatic bullish & bearish Order Block detection
ATR-based or Range-based volatility filter
Scalp / Normal / Balanced swing structure modes
Auto extending OB zones
Auto-removal of invalid OBs
OB touch alerts
✔ Buy/Sell Signals With Dynamic TP/SL
Non-repainting BUY/SELL structure shift detection
Auto-generated TP & SL levels
SL placement based on OB structure + liquidation buffer
Adjustable Risk-Reward (RR) multiplier
TP/SL labels update in real-time
Fully dynamic lines extending as new candles appear
✔ Liquidity Grab Detection (Wick Liquidity Sweeps)
Upper/lower wick manipulation detection
RSI-supported confirmation
Automatic "LiQ" labels
Strong reversal indication
Liquidity alert system included
✔ Multi-Timeframe FVG Engine (Fair Value Gaps)
Tracks and updates FVG zones from:
15M
1H
4H
1D
Features:
Auto FVG detection
Bullish/Bearish colored zones
Tested FVG repainting → color changes
Auto-cleaning invalid FVGs
Maximum box limits (reduces clutter)
FVG labels inside zones (15M / 1H / 4H / 1D)
One-click master switch for all FVGs
✔ Real-Time Info Panel (Top-Right Table)
Current symbol
Live price
Turkish local time (UTC+3)
Minimalistic, transparent overlay panel
✔ Smart Alerts
OB Buy/Sell signal
Liquidity grab
OB touch
Trend shift
Multi-timeframe FVG alert
Alert-saving mode (prevents alert spam)
💼 Perfect For
Smart Money Concepts traders
Liquidity hunters
OB + FVG traders
Scalpers
Swing & intraday traders
Algorithmic systems
High RR strategy traders
📌 Notes
This is an Invite-Only Script.
Access is given only to approved users.
CrossX GR v3.3 Oh, the sacred CrossX signal! He came down from heaven to show us the way to 35% profit. And if not, then it's not your risk management that will be to blame, but the fact that you didn't wait for the third green candle.
Lord, give me strength. You're risking money based on an indicator that sells for likes. Skin in the game? Your "guru" only risks not getting 500 reposts.
The real support is not a line on the chart. This is the size of your position, at which you won't panic when this pseudo-analysis fails. And he will fail.
Defended Price Levels (DPLs) — Melvin Dickover ConceptThis indicator identifies and draws horizontal “Defended Price Levels” (DPLs) exactly as originally described by Melvin E. Dickover in his trading methodology.
Dickover observed that when extreme relative volume and extreme “freedom of movement” (volume-to-price-movement ratio) occur on the same bar, especially on bars with large gaps or unusually large bodies, the closing price (or previous close) of that bar very often becomes a significant future support/resistance level that the market later “defends.”
This script automates the detection of those exact coincident spikes using two well-known public indicators:
Relative Volume (RVI)
• Original idea: Melvin Dickover
• Pine Script implementation used here: “Relative Volume Indicator (Freedom Of Movement)” by LazyBear
Link:
Freedom of Movement (FoM)
• Original idea and calculation: starbolt64
• Pine Script: “Freedom of Movement” by starbolt64
Link:
How this indicator works
Calculates the raw (possibly negative) LazyBear RVI and starbolt64’s exact FoM values
Normalizes and standardizes both over the user-defined lookback
Triggers only when both RVI and FoM exceed the chosen number of standard deviations on the same bar (true Dickover coincident-spike condition)
Applies Dickover’s original price-selection rules (uses current close on big gaps or 2× body expansion candles, otherwise previous close)
Draws a thin maroon horizontal ray only when the new level is sufficiently far from all previously drawn levels (default ≥0.8 %) and the maximum number of levels has not been reached
Keeps the chart clean by limiting the total number of significant defended levels shown
This is not a republish or minor variation of the two source scripts — it is a faithful automation of Melvin Dickover’s specific “defended price line” concept that he manually marked using the coincidence of these two indicators.
Full credit goes to:
Melvin E. Dickover — creator of the Defended Price Levels concept
LazyBear — author of the Relative Volume (RVI) implementation used here
starbolt64 — author of the Freedom of Movement indicator and calculation
Settings (all adjustable):
Standard Deviation Length (default 60)
Spike Threshold in standard deviations (default 2.0)
Minimum distance between levels in % (default 0.8 %)
Maximum significant levels to display (15–80)
Use these horizontal maroon lines as potential future support/resistance zones that the market has previously shown strong willingness to defend.
Thank you to Melvin, LazyBear, and starbolt64 for the original work that made this automation possible.
Wavelet Alligator – Separate Entry/Exit Experts & Wavelets-V2
Wavelet Alligator – Strategy Explanation & How to Use
1. Concept Overview
The Wavelet Alligator strategy combines:
- Wavelet transforms (Daubechies, Haar, Symlet, Mexican Hat, Morlet)
- Fractional calculus kernels: Caputo-Fabrizio (CF) and Atangana-Baleanu (AB)
- Three-layer “alligator-like” wavelet smoothing (soft → medium → strong)
- Expert-based entry/exit routing (RAW, CF, AB, or Majority vote)
- Independent wavelets for ENTRY and EXIT
- Main trend defined by AB wavelet ordering
This creates a multi-structure, multi-kernel trend engine capable of capturing extended moves with high signal quality.
2. Wavelet Alligator Structure
Each source (RAW, CF, AB) is transformed into three wavelet layers:
Soft = fastest reaction
Medium = mid smoothing
Strong = trend backbone
Wavelets:
- Daubechies: stable trend
- Haar: fast impulse detection
- Symlet: balanced
- Mexican Hat: curvature and reversal detection
- Morlet: cyclic, oscillatory
3. Entry Logic
Long entry occurs when:
- AB wavelet shows bullish structure (soft > medium > strong, medium rising)
- Selected entry expert approves (RAW / CF / AB / Majority)
- Wavelet condition: soft > strong AND medium crosses above strong
4. Exit Logic
Exit is independent from entry:
- Controlled by chosen exit expert
- Wavelet reversal condition: soft < strong AND medium crosses below strong
- Forced exit when AB trend turns neutral or bearish
5. Background Color (Regime)
- Green: bullish AB regime
- Red: bearish AB regime
- Gray: neutral/transition
6. How to Use
Step 1 – Choose entry wavelet
Daubechies: stable trend
Haar: breakout scalping
Mexican Hat: early reversals
Symlet: balanced
Morlet: cyclic markets
Step 2 – Choose exit wavelet
Mexican Hat: best precision
Daubechies: smooth exits
Haar: aggressive exits
Step 3 – Select entry/exit experts
CF only – fast fractional trend
AB only – stable long-memory trend
RAW only – pure price structure
Majority – safest, noise-filtered
Step 4 – Run the strategy
Entries occur only during AB bullish trend.
Exits occur on wavelet reversal or AB trend failure.
7. Why This Strategy Works
It fuses:
- Fractional calculus (memory)
- Wavelets (shape/curvature)
- Alligator ordering (trend hierarchy)
Result: high-quality entries, strong trend holding, noise-resistant signals.
Fractals by Aza fractals that show exactly those fractals that are intended for the 3-touch strategy and structure breakdown
FVG by AzaA special indicator that is correctly configured for the 3-touch strategy and structure breakdown






















