DayTrader Plug and Play Score Strategy HSBeen playing around with automating a strategy and to make something more flexible in updating indicators/ risk reward scenarios.
I Trade on 5 min timeframe choosing stocks from a day trading scanner I use to evaluate premarket movement.
This script take into account short term EMA crossovers, VWAP, RSI, Candlesticks, and previous day S/R lines to determine buy/sell points. It Mostly runs on a VWAP strategy and will only buy when price is above VWAP and only sell when price is below VWAP. But uses the other indicators as more confirmations.
All of these indicators come together to form a score 1-8.5 and gives buy/sell signals based on the score.
Strategy is as below:
My Stock scanner gives me anywhere from 3-5 stocks per day to trade. (Not included)
Strategy will only trade once per day per stock.
Strategy closes positions after 2 hours in the market.
Strategy closes all positions 5 min before end of day close.
Trade size is set to 1% of the account size. The risk is 2% of that trade, reward is 4%.
Score threshold for hitting the indicator threshold is set to 5.5 score
^^This is all editable in the script.
After building and testing an rebuilding for a few months this has been my most profitable strategy in PAPER TRADING so I thought id share. I enjoy this kind of tinkering and scenario testing. Enjoy!
การวิเคราะห์แนวโน้ม
VAGANZA Swings V1 LITE1. Introduction: The Philosophy Behind VAGANZA Swings
The VAGANZA Swings V1 LITE was developed to solve a common problem faced by swing traders: getting caught in low-probability trades during choppy, sideways markets. Many indicators can identify a trend, but few can effectively measure its quality and pinpoint optimal, low-risk entry points within that trend.
This script is not merely a "mashup" of existing indicators. It is a structured, multi-layered filtering system where each component is specifically chosen to address the weaknesses of the others. The core philosophy is to trade only when there is a clear market consensus, confirmed by trend, strength, momentum, and volume. This results in fewer signals, but each signal is designed to be of significantly higher quality.
2. The VAGANZA Confirmation Engine: A Deeper Look at the Logic
A signal is only generated when four distinct market conditions align. This sequential confirmation process is what makes the script unique and robust.
Layer 1: The Trend Regime Filter
What it does: The indicator first establishes the dominant market bias using a dual-speed baseline system. A faster-reacting baseline is compared against a slower, more stable baseline to determine if the market is in a long-term bullish or bearish "regime."
Why it's important: This foundational step ensures we are never fighting the primary market current. BUY signals are disabled during a bearish regime, and SELL signals are disabled during a bullish regime, instantly eliminating 50% of potentially bad trades.
Layer 2: The Trend Strength & Conviction Qualifier
What it does: This is the script's core intelligence. After confirming the trend's direction, this layer uses a directional volatility engine to measure the trend's strength or conviction. It analyzes the expansion between bullish and bearish price movements.
Why it's important: A simple moving average crossover can occur in a weak, drifting market, leading to false signals. This filter requires the trend to be demonstrably powerful (above a predefined strength threshold of 25) before allowing the system to even look for an entry. It's the primary filter for avoiding sideways market traps.
Layer 3: The Dynamic Pullback & Entry Trigger
What it does: Instead of chasing price at its peak, the script waits for a natural "breather" or pullback. It employs a momentum cycle oscillator to identify when the price has become temporarily oversold within a strong uptrend, or overbought within a strong downtrend. The signal is triggered at the precise moment momentum appears to be rejoining the primary trend.
Why it's important: This ensures a more favorable risk-to-reward ratio. By entering on a pullback, traders can avoid buying the top or selling the bottom of a short-term swing, which is a common mistake.
Layer 4: The Volume Participation Check
What it does: As a final confirmation, the script checks the volume on the signal candle. It requires the volume to be higher than its recent average.
Why it's important: A price move without significant volume can be a trap. This final check confirms that there is genuine market participation and conviction behind the signal, suggesting that larger market players are supporting the move.
3. The Synergy of the System (Why This Combination is Original)
The originality of VAGANZA Swings lies not in its individual components, but in their synergistic interaction:
The Trend Regime Filter sets the stage.
The Trend Strength Qualifier prevents signals when the stage is poorly lit (i.e., a weak trend).
The Pullback & Entry Trigger tells the actor exactly when to enter the stage for maximum impact.
The Volume Check ensures the audience is actually watching.
Without the strength filter, the trend filter would fail in ranging markets. Without the pullback trigger, entries would have poor risk-reward. This interdependent, sequential logic provides a unique and useful tool that goes beyond what a single indicator can offer.
4. How to Use This Script
Timeframe: Optimized for the 4-Hour (H4) chart, as this provides a balance between meaningful swings and actionable signals. It can also be used on the Daily (D1) chart for longer-term analysis.
BUY Signal (Green "BUY" Arrow): Appears only when a strong, confirmed uptrend experiences a temporary, oversold pullback and volume confirms renewed buying interest. This is a high-probability signal to consider a long position.
SELL Signal (Red "SELL" Arrow): Appears only when a strong, confirmed downtrend experiences a temporary, overbought rally and volume confirms renewed selling pressure. This is a high-probability signal to consider a short position.
Risk Management: This indicator provides entry signals only. It is crucial that you apply your own risk management rules. Always use a stop-loss and have a clear take-profit strategy for every trade.
Disclaimer: This tool is for decision-support and does not constitute financial advice. All trading involves risk. Past performance is not indicative of future results. Please backtest thoroughly before using this script with real capital.
Triple Stochastic RSITriple Stochastic RSI (TSRSI)
The Triple Stochastic RSI is a momentum visualization tool designed to help identify potential market tops and bottoms with greater clarity. This indicator stacks three layers of smoothed StochRSI — Fast , Slow , and Slowest — each derived from increasingly longer RSI and Stochastic periods.
By analyzing how these layers interact, especially when the Slow (purple) and Slowest (orange) lines converge or cross near overbought or oversold zones, traders can spot high-probability reversal points. These moments often precede price turning points, and the signals gain strength when confirmed by divergences between price and indicator movement.
Key features include:
Triple StochRSI smoothing to capture short- to long-term momentum shifts.
Dynamic overbought/oversold signals with visual cross markers.
Built-in trend sentiment and average streak statistics.
Alerts for crossovers, trend shifts, and extended over/underperformance streaks.
Use it as a standalone momentum framework or as a supporting layer for divergence detection and market exhaustion analysis.
The stats table in your script provides insight into how long each Stochastic line (%K) typically stays above or below the 50 midline, and how the current streak compares to that average.
1. "Current" Column
This shows how many consecutive bars the %K has been:
Above 50 (▲)
OR Below 50 (▼)
It updates in real time on the last bar.
2. "Avg ▲ / Avg ▼" Column
These are historical averages based on your lookbackPeriod (default 1000 bars). It shows:
The average length of time %K stays above 50 (bullish bias)
The average time it stays below 50 (bearish bias)
Example Breakdown:
Let’s say the "Slow" row shows:
Current: 7 ▼
Avg ▲ / Avg ▼: 6 / 5
This means:
%K on the Slow lane has been below 50 for 7 bars
Historically, it only stays below 50 for about 5 bars on average
So, this bearish streak is already longer than usual
How to Use This Information:
A longer-than-average streak could imply a maturing move, potentially near exhaustion.
If current ▲ or ▼ streak is nearing or exceeding its average, it may warn of an upcoming shift.
Good for contextualizing trends and avoiding late entries.
Zarza Trade🕊️ Zarza Trade Indicator for God’s Kingdom
“But remember the Lord your God, for it is He who gives you the power to get wealth, that He may establish His covenant.” — Deuteronomy 8:18
The Zarza Trade Indicator is more than a trading tool — it’s a divinely inspired system designed to help Kingdom traders operate with clarity, discipline, and spiritual alignment in the markets.
Built to detect momentum shifts, liquidity zones, reversals, and smart-money movements, this indicator brings together the best of technical precision and prophetic purpose.
This isn’t just about charts — it’s about stewardship.
Every trade is an act of faith and discernment, partnering with Heaven’s wisdom to prepare for the great wealth transfer that will fund God’s Kingdom projects and reach souls across the nations.
Manual Range FR1 — Open Source ( Miresync )Made by Rafael Matos (Miresync)
EMA 9 – Scalp Trading XAUUSD (Gold)
The EMA 9 (Exponential Moving Average) is a short-term moving average widely used by scalpers and day traders to identify quick price movements with precision and agility.
In this setup, the EMA 9 acts as a dynamic trend guide, helping to pinpoint entry and exit zones for short, fast trades on XAUUSD (Gold).
🎯 Core Strategy:
When price is above EMA 9 → indicates bullish strength → focus on long entries during pullbacks.
When price is below EMA 9 → indicates bearish strength → focus on short entries during pullbacks.
EMA 9 reacts quickly to direction changes, allowing for short and precise scalps that take advantage of microtrends.
MA Crossover Strategy with Trailing Stop 1HTrend-Following Strategy "MA Crossover Strategy with Trailing Stop 1H"
✅ Complete risk management system (stop-loss, take-profit, trailing stop)
✅ Chart visualization (MA lines, stop levels, entry signals)
✅ Automatic closing of opposite positions
✅ Colored trend indication
The strategy uses moving average crossovers for position entry and a multi-level capital protection system.
Reversal Super ScalperUsing Grok I've combined several indicators to be used for scalping reversals. My goal is to make sure it alerts me when all of the below conditions have been met.
Indicators that were combined to make this
FluidTrades - SMC Lite indicator - by Pmgjiv
Money Flow Index MTF + Alerts - by DreamsDefined
WaveTrend Filtered Signals (LazyBear Style) - by Uncle_the_shooter
Q-Trend - by tarasenko_
This strategy is for scalping on the 5 minute timeframe.
This way I can set alerts when the price action is close to demand or support levels marked out by the FluidTrades - SMC Lite indicator, the Money Flow Index MTF + Alerts indicator shows oversold if i'm trying to enter a long position or overbought if I'm trying to enter a short position, and the WaveTrend Filtered Signals indicator pops up a buy/sell signal either on the same 5 min candle or two 5 min candles before the Q-Trend buy/sell signal pops up. Once all of these conditions are met, this is when I would enter into a position at the close of the trigger candle from Q-Trend.
Here is an example of how to use this strategy
BUY (LONG) SIGNAL CONDITIONS
Price action must fall back into a level of demand marked out by the FluidTrades indicator.
The candle wick may cross below the demand level, and the candle body may cross slightly below it, as long as the candle does not close below the demand zone.
If any candle closes below the demand level, the buy signal created by the Q-Trend indicator is canceled. The WaveTrend Filtered Signals indicator should generate an alert on the current 5 min candle that Q-trend is generating a buy signal or two 5 min candles before it.
Money Flow Index (MFI) Condition:
On the candle where the buy signal is triggered by the Q-Trend indicator, the MFI must be oversold, with the white line below the 40 level, inside the Red Zone.
When the above conditions are met, enter after the close of the BUY signal trigger candle.
For the short signal it is the opposite of these conditions.
Criteriosseveral criterias to select stocks, shows for a selected instrument conditions related to EMAs, MA, relative strenght.
I use this table as a final step to select my IN.
Divergence for Many Indicators v5 - No RepaintUses confirmed bar processing to prevent repainting, ensuring
signals never change after they appear. Automatically draws
divergence lines on the chart and labels show which indicators
are diverging. Customizable settings include pivot period,
minimum divergence threshold, line styles, and colors for
different divergence types.
Ideal for identifying potential trend reversals (regular
divergence) and trend continuations (hidden divergence) with
high-confidence multi-indicator confirmation.
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION
OVERVIEW
Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws.
Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range.
HOW IT WORKS
DUAL ALMA SYSTEM
The strategy uses two ALMA lines applied to price returns:
• Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods)
• Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods)
ALMA is superior to simple or exponential moving averages because it provides:
• Smoother curves with less noise
• Significantly reduced lag
• Natural resistance to outliers and flash crashes
TRADING LOGIC
BUY SIGNAL:
• Fast ALMA crosses above Slow ALMA (bullish regime)
• Price makes new N-bar high (momentum confirmation)
• Optional: Price above 200 EMA (macro trend filter)
• Optional: ALMA lines sufficiently separated (strength filter)
SELL SIGNAL:
• Fast ALMA crosses below Slow ALMA (bearish regime)
• Optional: Price makes new N-bar low (momentum confirmation)
The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months.
VISUAL INDICATORS
LINES:
• Blue Line: Fast ALMA (short-term signal)
• Black Line: Slow ALMA (long-term baseline)
TRADE MARKERS:
• Green Triangle Up: Buy executed
• Red Triangle Down: Sell executed
• Orange "M": Buy blocked by momentum filter
• Purple "W": Buy blocked by weak crossover strength
KEY PARAMETERS
ALMA SETTINGS:
• Short Period (default: 30) - Fast signal responsiveness
• Long Period (default: 250) - Baseline stability
• ALMA Offset (default: 0.90) - Balance between lag and smoothness
• ALMA Sigma (default: 7.5) - Gaussian curve width
ENTRY/EXIT FILTERS:
• Buy Lookback (default: 7) - Bars for momentum confirmation (required)
• Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits)
• Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled)
• Use Macro Filter (default: true) - Only enter above 200 EMA
BEST PRACTICES
RECOMMENDED ASSETS - Works well on:
• Cryptocurrencies (Bitcoin, Ethereum, etc.)
• Major indices (S&P 500, Nasdaq)
• Large-cap stocks
• Commodities (Gold, Oil)
RECOMMENDED TIMEFRAMES:
• Daily: Primary timeframe for swing trading
• 4-Hour: More active trading (increase trade frequency)
• Weekly: Long-term position trading
PARAMETER TUNING:
• More trades: Lower Short Period (60-80)
• Fewer trades: Raise Short Period (100-120)
• Faster exits: Set Sell Lookback = 0
• Safer entries: Enable Macro Filter (Use Macro Filter = true)
STRATEGY ADVANTAGES
1. Low Lag - ALMA provides faster signals than traditional moving averages
2. Smooth Signals - Minimal whipsaws compared to crossover strategies
3. Asset Agnostic - Same parameters work across different markets
4. Trend Capture - Stays positioned during entire bullish regimes
5. Risk Management - Multiple filters prevent poor entries
6. Visual Clarity - Easy to interpret regime and filter states
WHEN TO USE HERMES
BEST FOR:
• Trending markets (crypto bull runs, equity uptrends)
• Swing trading (hold days to weeks)
• Position trading (hold weeks to months)
• Clear trend identification
• Risk-managed exposure
NOT SUITABLE FOR:
• Ranging/sideways markets
• Scalping or day trading
• High-frequency trading
• Mean reversion strategies
RISK DISCLAIMER
This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading.
CREDITS
Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering.
Strategy by Hermes Trading Systems
QUICK START
1. Add indicator to chart
2. Use on daily timeframe for best results
3. Look for green buy signals when blue line crosses above black line
4. Exit on red sell signals when blue line crosses below black line
5. Adjust parameters based on your trading style:
• Conservative: Enable Macro Filter, increase Buy Lookback to 10
• Aggressive: Disable Macro Filter, lower Short Period to 60
• Default settings work well for most assets
Golden Cross 50/200Simplicity characterizes each of my trading systems and methods. On this occasion, I present a trend-following strategy with simple rules and high profitability.
System Rules:
-Long entries when the 50 EMA crosses above the 200 EMA.
-Stop Loss (SL) placed at the low of 15 candles prior to the entry candle.
-Take Profit (TP) triggered when the 50 EMA crosses below the 200 EMA.
As with any trend-following system, we sacrifice win rate for profitability, and of course, we will focus on traditional markets with a consistent trend-following nature over time.
Recommended Markets and Timeframes:
BTCUSDT H6
August 17, 2017 - October 20, 2025 Total trades: 30
Profitability: +1,682.99%
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H4
August 17, 2017 - October 20, 2025 Total trades: 42
Profitability: +12,213.49% (high and stable performance curve)
Win rate: 40%
Outperforms Buy & Hold
BTCUSDT H2
August 17, 2017 - October 20, 2025 Total trades: 95
Profitability: +2,363.80%
Win rate: 24.21%
Matches Buy & Hold
BTCUSDT H1
August 17, 2017 - October 20, 2025 Total trades: 203
Profitability: +1,045% (stable performance curve)
Win rate: 25.62%
BTCUSDT 30M
August 17, 2017 - October 20, 2025 Total trades: 393
Profitability: +4,205.51% (high and stable performance curve)
Win rate: 27.74%
Outperforms Buy & Hold
BTCUSDT 15M
August 17, 2017 - October 20, 2025 Total trades: 821
Profitability: +1,311.97%
Win rate: 23.14%
Timeframes such as Daily, 12-hour, 8-hour, and even 5-minute charts are profitable with this system, so feel free to experiment.
Other markets and timeframes to observe include:
-XAUUSD (H1, H4, H6, H8, Daily)
-SPX (Daily: +21,302% profitability since 1871 in 40 trades)
-Tesla (H1, H2, H4, H6, especially M30 and M15)
-Apple (M5, M15, M30, H1, H2, H4…)
-Warner Bros (M5, M15, M30…)
-GOOGL (M5, M15, M30, H1, H2, H4, H6…)
-AMZN (M5, M15, M30, H2, H4, H6…)
-META (M5, M15, M30, H1, H2, H4…)
-NVDA (M5, M15, M30, H1, H2, H4…)
This system not only generates significant profitability but also performs very well in traditional markets, even on lower timeframes like 5-minute charts. In many cases, the returns far exceed Buy & Hold.
I hope this strategy is useful to you. Follow my Spanish-speaking profile if you want to see my market analyses, and send me your good vibes!
Smart Money Dynamics Blocks — Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix
A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry.
1. Mathematical Foundation
This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together.
Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages.
2. The Pearson Matrix Logic
For every prime interval p, the indicator calculates the linear correlation:
r_p = corr(price, bar_index, p)
Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence.
- When avgR > 0.8 → strong positive correlation (labeled R+).
- When avgR < -0.8 → strong negative correlation (labeled R−).
This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength.
3. Sequential Prime Slope and Median Pivot
Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector.
The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback.
4. Regression-Style Parallel Bands
Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix.
These bands adjust dynamically to:
- Volatility, via standard deviation of residuals.
- Correlation strength, via avgR sign weighting.
Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure.
5. Volume and Cumulative Delta Peaks
Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts.
From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked.
This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form.
6. Chart Interpretation
The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time.
Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure.
The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure.
7. Interpretive Insight
This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure.
It unifies three analytical domains:
- Prime distribution — defines a nonlinear temporal architecture.
- Pearson correlation — quantifies statistical cohesion.
- Cumulative delta — expresses behavioral imbalance in order flow.
The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable.
8. Contribution & Feedback
Share your observations in the comments:
- The time gap and alternation between R+ and R− clusters.
- How different timeframes change delta sensitivity or reveal compression/expansion.
- Prime intervals/clusters that tend to sit near turning points or liquidity shifts.
- How avgR behaves across assets or regimes (trending, ranging, high-vol).
- Notable interactions with the parallel bands (touches, breaks, mean-revert).
Your field notes help others read the model more effectively and compare contexts.
Summary
- Primes define the structure.
- Pearson quantifies coherence.
- Slope median stabilizes geometry.
- Regression bands visualize deviation.
- Cumulative delta locates imbalance.
Together, they construct a framework where mathematics meets market behavior.
Robust Scaled HMA | OquantOverview
The Robust Scaled HMA is an indicator designed to provide a more resilient trend-following signal by combining the Hull Moving Average (HMA) with a robust scaling mechanism based on interquartile range (IQR). Unlike traditional scaled indicators that rely on standard deviation, which can be skewed by outliers in volatile markets, this approach uses quartiles to normalize the HMA values, offering better resistance to extreme price movements. It generates long and short signals based on user-defined thresholds and includes built-in performance metrics to evaluate the indicator's historical behavior, alongside buy-and-hold comparisons(Remember past performance doesn’t guarantee future results). This allows traders to assess potential effectiveness without needing external backtesting tools(Remember past performance doesn’t guarantee future results). The indicator is particularly useful for those seeking a balance between responsiveness and robustness in trend detection, and it visualizes allocation states (LONG, SHORT, or CASH) through color-coded plots and optional tables.
Key Factors/Components
Robust Scaling: Employs IQR for normalization instead of standard deviation, reducing sensitivity to outliers and providing a more stable measure of deviation from the median HMA.
Signal Generation: Threshold-based triggers for long (above upper threshold) and short (below lower threshold) positions, with options to enable/disable longs or shorts to suit directional biases.
Performance Metrics: Calculates key risk-adjusted metrics such as Maximum Drawdown (Max DD), Intra-Trade Max DD, Sharpe Ratio, Sortino Ratio, Omega Ratio, Percent Profitable, Profit Factor, Total Trades, and Net Profit for the indicator's signals.
Buy-and-Hold Comparison: Displays equivalent metrics for a simple buy-and-hold approach on the same asset and timeframe for benchmarking.
Visualization Tools: Color-coded plot of the scaled HMA, threshold lines, optional equity curve, bar coloring, and customizable tables for metrics and allocation status.
Alert Conditions: Built-in alerts for bullish (crossover to long) and bearish (crossunder to short) signals.
How It Works
The indicator starts by computing a standard HMA on the selected source. It then applies robust scaling over a lookback period by subtracting the median HMA and dividing by the IQR (difference between the 75th and 25th percentiles), resulting in a normalized value that highlights deviations in a outlier-resistant manner. Signals are derived simply: values exceeding the upper threshold suggest upward momentum (long), while those below the lower threshold indicate downward momentum (short). The script simulates a basic equity curve by applying these signals to daily returns, holding long/short only when enabled, otherwise defaulting to cash (0% return). Metrics are computed on this equity curve using standard formulas—e.g., Sharpe as average return over standard deviation of returns (annualized), Sortino focusing on downside deviation, and Omega as the ratio of positive to negative returns. All calculations begin from the user-specified start date to ensure relevance to the tested period(Remember past performance doesn’t guarantee future results). This logic emphasizes robustness for real-world application.
For Who It Is Best/Recommended Use Cases
This indicator is best suited for traders focused on trend-following strategies in markets prone to volatility or outliers. Recommended use cases include:
Trend Identification: As a filter for entering/exiting positions.
Strategy Evaluation: Quickly assessing signal quality through integrated metrics without complex backtesting setups(Remember past performance doesn’t guarantee future results).
Customization: Adjusting for bullish biases by disabling shorts, or vice versa, in one-sided markets.
Settings and Default Settings
Start Date: Timestamp for when calculations begin (default: 1 Jan 2018).
Source: Price series for HMA calculation (default: close).
HMA Length: Period for the Hull Moving Average (default: 25).
Robust Scaling Length: Lookback for robust scaling calculations (default: 40).
Upper Threshold: Level above which long signals trigger (default: 0.6).
Lower Threshold: Level below which short signals trigger (default: -0.2).
Allow Long Trades: Enables long positions; if disabled, defaults to cash (default: true).
Allow Shorts: Enables short positions; if disabled, defaults to cash (default: false).
Show Indicator Metrics Table: Displays table with strategy metrics (default: true).
Show Buy&Hold Table: Displays table with asset benchmarks (default: true).
Plot Equity Curve: Shows the simulated equity line (default: false).
Defaults are tuned for general use.
Conclusion
The Robust Scaled HMA offers a fresh take on trend detection by prioritizing robustness through IQR scaling, making it a valuable addition for traders aiming to navigate noisy markets with metrics-backed insights(Remember past performance doesn’t guarantee future results).
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Luxy Adaptive MA Cloud - Trend Strength & Signal Tracker V2Luxy Adaptive MA Cloud - Professional Trend Strength & Signal Tracker
Next-generation moving average cloud indicator combining ultra-smooth gradient visualization with intelligent momentum detection. Built for traders who demand clarity, precision, and actionable insights.
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WHAT MAKES THIS INDICATOR SPECIAL?
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Unlike traditional MA indicators that show static lines, Luxy Adaptive MA Cloud creates a living, breathing visualization of market momentum. Here's what sets it apart:
Exponential Gradient Technology
This isn't just a simple fill between two lines. It's a professionally engineered gradient system with 26 precision layers using exponential density distribution. The result? An organic, cloud-like appearance where the center is dramatically darker (15% transparency - where crossovers and price action occur), while edges fade gracefully (75% transparency). Think of it as a visual "heat map" of trend strength.
Dynamic Momentum Intelligence
Most MA clouds only show structure (which MA is on top). This indicator shows momentum strength in real-time through four intelligent states:
- 🟢 Bright Green = Explosive bullish momentum (both MAs rising strongly)
- 🔵 Blue = Weakening bullish (structure intact, but momentum fading)
- 🟠 Orange = Caution zone (bearish structure forming, weak momentum)
- 🔴 Deep Red = Strong bearish momentum (both MAs falling)
The cloud literally tells you when trends are accelerating or losing steam.
Conditional Performance Architecture
Every calculation is optimized for speed. Disable a feature? It stops calculating entirely—not just hidden, but not computed . The 26-layer gradient only renders when enabled. Toggle signals off? Those crossover checks don't run. This makes it one of the most efficient cloud indicators available, even with its advanced visual system.
Zero Repaint Guarantee
All signals and momentum states are based on confirmed bar data only . What you see in historical data is exactly what you would have seen trading live. No lookahead bias. No repainting tricks. No signals that "magically" appear perfect in hindsight. If a signal shows in history, it would have triggered in real-time at that exact moment.
Educational by Design
Every single input includes comprehensive tooltips with:
- Clear explanations of what each parameter does
- Practical examples of when to use different settings
- Recommended configurations for scalping, day trading, and swing trading
- Real-world trading impact ("This affects entry timing" vs "This is visual only")
You're not just getting an indicator—you're learning how to use it effectively .
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THE GRADIENT CLOUD - TECHNICAL DETAILS
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Architecture:
26 precision layers for silk-smooth transitions
Exponential density curve - layers packed tightly near center (where crossovers happen), spread wider at edges
75%-15% transparency range - center is highly opaque (15%), edges fade gracefully (75%)
V-Gradient design - emphasizes the action zone between Fast and Medium MAs
The Four Momentum States:
🟢 GREEN - Strong Bullish
Fast MA above Medium MA
Both MAs rising with momentum > 0.02%
Action: Enter/hold LONG positions, strong uptrend confirmed
🔵 BLUE - Weak Bullish
Fast MA above Medium MA
Weak or flat momentum
Action: Caution - bullish structure but losing strength, consider trailing stops
🟠 ORANGE - Weak Bearish
Medium MA above Fast MA
Weak or flat momentum
Action: Warning - bearish structure developing, consider exits
🔴 RED - Strong Bearish
Medium MA above Fast MA
Both MAs falling with momentum < -0.02%
Action: Enter/hold SHORT positions, strong downtrend confirmed
Smooth Transitions: The momentum score is smoothed using an 8-bar EMA to eliminate noise and prevent whipsaws. You see the true trend , not every minor fluctuation.
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FLEXIBLE MOVING AVERAGE SYSTEM
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Three Customizable MAs:
Fast MA (default: EMA 10) - Reacts quickly to price changes, defines short-term momentum
Medium MA (default: EMA 20) - Balances responsiveness with stability, core trend reference
Slow MA (default: SMA 200, optional) - Long-term trend filter, major support/resistance
Six MA Types Available:
EMA - Exponential; faster response, ideal for momentum and day trading
SMA - Simple; smooth and stable, best for swing trading and trend following
WMA - Weighted; middle ground between EMA and SMA
VWMA - Volume-weighted; reflects market participation, useful for liquid markets
RMA - Wilder's smoothing; used in RSI/ADX, excellent for trend filters
HMA - Hull; extremely responsive with minimal lag, aggressive option
Recommended Settings by Trading Style:
Scalping (1m-5m):
Fast: EMA(5-8)
Medium: EMA(10-15)
Slow: Not needed or EMA(50)
Day Trading (5m-1h):
Fast: EMA(10-12)
Medium: EMA(20-21)
Slow: SMA(200) for bias
Swing Trading (4h-1D):
Fast: EMA(10-20)
Medium: EMA(34-50)
Slow: SMA(200)
Pro Tip: Start with Fast < Medium < Slow lengths. The gradient works best when there's clear separation between Fast and Medium MAs.
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CROSSOVER SIGNALS - CLEAN & RELIABLE
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Golden Cross ⬆ LONG Signal
Fast MA crosses above Medium MA
Classic bullish reversal or trend continuation signal
Most reliable when accompanied by GREEN cloud (strong momentum)
Death Cross ⬇ SHORT Signal
Fast MA crosses below Medium MA
Classic bearish reversal or trend continuation signal
Most reliable when accompanied by RED cloud (strong momentum)
Signal Intelligence:
Anti-spam filter - Minimum 5 bars between signals prevents noise
Clean labels - Placed precisely at crossover points
Alert-ready - Built-in ALERTS for automated trading systems
No repainting - Signals based on confirmed bars only
Signal Quality Assessment:
High-Quality Entry:
Golden Cross + GREEN cloud + Price above both MAs
= Strong bullish setup ✓
Low-Quality Entry (skip or wait):
Golden Cross + ORANGE cloud + Choppy price action
= Weak bullish setup, likely whipsaw ✗
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REAL-TIME INFO PANEL
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An at-a-glance dashboard showing:
Trend Strength Indicator:
Visual display of current momentum state
Color-coded header matching cloud color
Instant recognition of market bias
MA Distance Table:
Shows percentage distance of price from each enabled MA:
Green rows : Price ABOVE MA (bullish)
Red rows : Price BELOW MA (bearish)
Gray rows : Price AT MA (rare, decision point)
Distance Interpretation:
+2% to +5%: Healthy uptrend
+5% to +10%: Getting extended, caution
+10%+: Overextended, expect pullback
-2% to -5%: Testing support
-5% to -10%: Oversold zone
-10%+: Deep correction or downtrend
Customization:
4 corner positions
5 font sizes (Tiny to Huge)
Toggle visibility on/off
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HOW TO USE - PRACTICAL TRADING GUIDE
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STRATEGY 1: Trend Following
Identify trend : Wait for GREEN (bullish) or RED (bearish) cloud
Enter on signal : Golden Cross in GREEN cloud = LONG, Death Cross in RED cloud = SHORT
Hold position : While cloud maintains color
Exit signals :
• Cloud turns ORANGE/BLUE = momentum weakening, tighten stops
• Opposite crossover = close position
• Cloud turns opposite color = full reversal
STRATEGY 2: Pullback Entries
Confirm trend : GREEN cloud established (bullish bias)
Wait for pullback : Price touches or crosses below Fast MA
Enter when : Price rebounds back above Fast MA with cloud still GREEN
Stop loss : Below Medium MA or recent swing low
Target : Previous high or when cloud weakens
STRATEGY 3: Momentum Confirmation
Your setup triggers : (e.g., chart pattern, support/resistance)
Check cloud color :
• GREEN = proceed with LONG
• RED = proceed with SHORT
• BLUE/ORANGE = skip or reduce size
Use gradient as confluence : Not as primary signal, but as momentum filter
Risk Management Tips:
Never enter against the cloud color (don't LONG in RED cloud)
Reduce position size during BLUE/ORANGE (transition periods)
Place stops beyond Medium MA for swing trades
Use Slow MA (200) as final trend filter - don't SHORT above it in uptrends
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PERFORMANCE & OPTIMIZATION
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Tested On:
Crypto: BTC, ETH, major altcoins
Stocks: SPY, AAPL, TSLA, QQQ
Forex: EUR/USD, GBP/USD, USD/JPY
Indices: S&P 500, NASDAQ, DJI
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TRANSPARENCY & RELIABILITY
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Educational Focus:
Detailed tooltips on every input
Clear documentation of methodology
Practical examples in descriptions
Teaches you why , not just what
Open Logic:
Momentum calculation: (Fast slope + Medium slope) / 2
Smoothing: 8-bar EMA to reduce noise
Thresholds: ±0.02% for strong momentum classification
Everything is transparent and explainable
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COMPLETE FEATURE LIST
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Visual Components:
26-layer exponential gradient cloud
3 customizable moving average lines
Golden Cross / Death Cross labels
Real-time info panel with trend strength
MA distance table
Calculation Features:
6 MA types (EMA, SMA, WMA, VWMA, RMA, HMA)
Momentum-based cloud coloring
Smoothed trend strength scoring
Conditional performance optimization
Customization Options:
All MA lengths adjustable
All colors customizable (when gradient disabled)
Panel position (4 corners)
Font sizes (5 options)
Toggle any feature on/off
Signal Features:
Anti-spam filter (configurable gap)
Clean, non-overlapping labels
Built-in alert conditions
No repainting guarantee
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IMPORTANT DISCLAIMERS
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This indicator is for educational and informational purposes only
Not financial advice - always do your own research
Past performance does not guarantee future results
Use proper risk management - never risk more than you can afford to lose
Test on paper/demo accounts before using with real money
Combine with other analysis methods - no single indicator is perfect
Works best in trending markets; less effective in choppy/sideways conditions
Signals may perform differently in different timeframes and market conditions
The indicator uses historical data for MA calculations - allow sufficient lookback period
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CREDITS & TECHNICAL INFO
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Version: 2.0
Release: October 2025
Special Thanks:
TradingView community for feedback and testing
Pine Script documentation for technical reference
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SUPPORT & UPDATES
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Found a bug? Comment below with:
Ticker symbol
Timeframe
Screenshot if possible
Steps to reproduce
Feature requests? I'm always looking to improve! Share your ideas in the comments.
Questions? Check the tooltips first (hover over any input) - most answers are there. If still stuck, ask in comments.
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Happy Trading!
Remember: The best indicator is the one you understand and use consistently. Take time to learn how the cloud behaves in different market conditions. Practice on paper before going live. Trade smart, manage risk, and may the trends be with you! 🚀
Tradytics Levels with EMA CloudThis indicator has tradytics price chart levels where you can put in the input code seen below.
The code has positive gamma (green lines), negative gamma (Red lines) and white dotted line are the darkpool levels.
This is Amazon's 5 minute from Sep30th to October 20th Gammas and weekly Darkpool levels. Just copy and paste code below in the input code and the chart would show the levels.
212.8*1*neutral 220.07*1*neutral 216.038*1*neutral 215.57*1*neutral 219.988*1*neutral 217.401*1*neutral 217.351*1*neutral 212.815*1*neutral 212.75*1*neutral 212.4*1*neutral 215*0*negative 222.5*0*positive 217.5*0*positive 220*0*positive
AMF PG Strategy Pro_v2.0AMF PG Strategy Pro _v2.0: We've taken the core strengths of the acclaimed AMF PG Strategy Pro and upgraded it with three new features professional traders demand: Dynamic Trailing Stop that maximizes profits, Multi-Timeframe Confirmation that improves signal accuracy, and intelligent Kelly Criterion Position Sizing that optimizes capital growth. Introducing v2.0: Smarter, safer, and more profitable.
Are you ready to go beyond standard indicators and rigid algorithms? AMF PG Strategy Pro _v2.0 isn't just an upgrade; it's a complete evolution. It's an advanced, closed-loop trading engine designed for savvy traders who demand more than just signals; they demand an intelligent partner in the markets.
While our free strategy offers a glimpse into adaptive trading, the Pro version unleashes the full power of our proprietary engine, designed to navigate the complexities of today's markets with a level of intelligence never before achieved.
The Heart of the System: The Praetorian Guard (PG) Core
At the heart of the Pro version is the refined Praetorian Guard (PG) Core. Its mission is surgical: to examine market movements, eliminate deceptive noise, and isolate genuine, high-conviction moments of opportunity. It's designed to remain neutral in chaotic and low-probability conditions, only activating when the odds are strategically in your favor.
What Makes the Pro Engine Superior?
This is where the Pro version surpasses everything else. It operates on a framework of proprietary concepts designed to think, adapt, and protect.
🧠 Cognitive Reflex Engine™: This is our most significant breakthrough. The Pro engine is market-aware and continuously evaluates its own operational effectiveness in the live environment. During periods of high uncertainty or underperformance, it instinctively shifts to a more defensive stance to preserve capital—a self-protective feature rarely seen outside of enterprise-level systems.
🛡️ Intelligent Position Sizing™: The engine understands that not all opportunities are equal. Instead of applying a static risk model, it assesses the fundamental quality of each potential trade. In high-probability scenarios, it knows when to be assertive and when to be cautious, allocating your capital with calculated precision.
🤖 Full Automation Protocol™: The Pro version is designed from the ground up for uninterrupted 24/7 trading. With a fully configurable JSON alert structure, it seamlessly integrates with leading automation platforms (3Commas, PineConnector, etc.). Execute your strategy with the cold, calculated discipline of a machine.
📈 Momentum Compounding™: A profitable trade doesn't always mean the move is over. The Pro engine is designed to identify high-potential continuation scenarios. When a strong trend continues, it can intelligently seek re-engagement opportunities by compounding gains from a single, strong market move.
📉 Capital Shield™: Protection is your top priority. The integrated Maximum Drawdown feature acts as the ultimate safety net. When a predetermined risk threshold is reached, the system acts as a circuit breaker, protecting your capital from unforeseen market events.
Our Promise to You: WHAT This Engine IS and WHAT IT IS NOT?
✔️ WHAT IT IS:
A powerful tool designed to provide discipline and a systematic advantage.
A methodology for identifying high-probability opportunities based on a proprietary, confidential model.
A robust framework for intelligent risk and capital management.
A turnkey solution for professional-level trading automation.
❌ WHAT IT IS:
A "get rich quick" scheme or a guaranteed Holy Grail.
A promise of zero-loss trading. All trading involves risk.
Financial advice. An advanced tool for your responsible use.
Legal Disclaimer and Risk Warning
Past performance is not indicative of future results. Trading involves significant risks and the potential for total loss of capital. This strategy is provided as an analytical tool and should not be construed as financial advice. All trading decisions made using this tool are your sole responsibility. The developer is not responsible for any profits or losses resulting from its use. Please trade responsibly.
Intellectual Property and Terms of Use
© 2025 . All Rights Reserved.
The "AMF PG Strategy Pro _v2.0" script is the exclusive intellectual property of . Access to this script is licensed for personal and individual use only. Any unauthorized resale, distribution, reproduction or commercial use of the script, its signals or underlying logic is strictly prohibited and will result in legal action.
Note:
Advanced Swing Points Liquidity by BTTAdvanced Swing Points Liquidity Indicator by BTT
Identify key price reversals and liquidity zones with precision using the Advanced Swing Points Liquidity indicator. This tool automatically detects swing highs (Buy Side Liquidity) and swing lows (Sell Side Liquidity) based on customizable pivot logic, and visualizes these levels on your chart for enhanced trading decisions.
Core Features:
Swing Logic Choice: Instantly switch between classic 3-point (tight pivots) and broader 5-point (stronger swings) swing detection.
Visual Clarity: Each swing point is highlighted with your choice of colored labels and extended horizontal lines.
Custom Line Length: Define how far each liquidity line extends, making it easy to spot critical reversal and breakout zones across the chart.
Liquidity Zones: (Optional) Shaded boxes overlay the chart at swing highs/lows, helping you visualize supply and demand areas and optimize entries/exits.
Distinctive Labels: BSL (Buy Side Liquidity) at swing highs, SSL (Sell Side Liquidity) at swing lows, making institutional liquidity levels immediately visible.
How to Use:
Use swing labels and lines to spot potential price reaction zones, stop hunt areas, and trend reversals.
Combine with your price action, order blocks, or other SMC tools for confirmation and trade planning.
Adjust parameters for any market (indices, stocks, crypto, commodities), any timeframe.
Perfect For:
Smart money traders locating liquidity grabs and stop hunts
Supply & demand, market structure, and swing traders
Anyone wanting automated mapping and visual clarity for swing pivots and institutional levels
Customization:
Choose swing detection style (pivot window)
Toggle lines, labels, and liquidity boxes on/off
Set color, box height, and line length for maximum visual control
FintechFull — Next Candle Probability (EB, EWMA, Regime)Purpose
Developed by FintechFull as a quantitative assistant for day traders.
This indicator estimates the probability that the next candle will close green or red, using recent R/G color patterns of depth N = 1..7.
When a trader knows which side has higher probability, it becomes a powerful edge for trading in the direction of the dominant trend.
Methodology
- Strict no-lookahead counting (no repaint, doji removed)
- Hierarchical Empirical Bayes (EB) smoothing across depths (1→7)
- Optional exponential decay (EWMA) for time-adaptive weighting
- Higher-timeframe EMA regime filter (UP-only / DOWN-only / OFF)
- ALL / SELECTED scopes with single-decision voting (one clean signal per bar)
- On-chart tags (“R” = RAW freq, “E” = EB) and full alert system
How it helps day traders
You can see whether the next bar’s probability favors the bullish or bearish side — then trade in alignment with trend and probability, not emotion.
Learn More
📘 The full research article explaining the math, logic, and Pine implementation,
and the Next-Candle Prediction Bot, are both available on the FintechFull Telegram channel.
→ Just search “@FintechFull” on Telegram to read the full paper and try the bot.
Trend Profit Tracking——JackFinanceTrend Profit Tracking Indicator Usage Guide1. Chart Interpretation and UsageSignals: Green "Buy" (below bar) for long entry; red "Sell" (above bar) for short entry or close long. Based on ATR stop reversal.
Trend Line: Green = bullish (support); red = bearish (resistance); gray = neutral.
Background: Light green/red = trend environment.
Filter Band: Green fill confirms bullish; red confirms bearish. Signals more accurate when price is inside the band.
Volume: Yellow bars = unusual volume spike; combine with signals for reversal hints.
Table (top-right): Bullish; Bearish; Neutral.
2. Trading ApplicationEntry: Signal + matching filter band color (green for long, red for short).
Exit: Reverse signal or price hits trend line/band edge.
Stop-Loss: Use built-in trailing stop; ATR multiplier for position sizing.
Best For: Daily/4H trend charts; avoid choppy markets.
Backtest: Verify in strategy tester (~55-65% win rate with defaults).
3. TipsCombine with RSI for filters.
Trading involves risk; decide at your own discretion.
Elite Signals ProV4 OptimizedElite Signals Pro V4 is a sophisticated multi-factor trading indicator that combines price action, momentum, and market structure analysis to generate high-probability trading signals. Unlike traditional indicators that rely on single metrics, Elite Signals uses a weighted confidence scoring system across 7 key market dimensions to provide filtered, quality signals.
🎯 Core Philosophy
The indicator operates on the principle that multiple confirmations lead to higher probability setups. Instead of looking at isolated signals, it evaluates:
Price Action (Wick strength & rejection patterns)
Trend Alignment (Multiple timeframe confirmation)
Market Context (Zones, liquidity, volatility)
Momentum (RSI with slope confirmation)
Entry Rules:
Wait for STRONG confidence signals (>70%) for higher probability
Ensure trend alignment matches signal direction
Check RSI is not extreme unless slope confirms reversal
Verify candle is meaningful rejection pattern
Risk Management:
Stop Loss: Place below recent swing low (BUY) or above swing high (SELL)
Take Profit: 1.5-2x risk ratio, or use trailing stops
Position Size: Scale based on confidence strength
1. Adaptive Confidence Threshold
Automatically adjusts based on market volatility
Stricter in high volatility (fewer but higher quality signals)
More lenient in calm markets (more opportunities)
2. Multi-Timeframe Alignment
15-minute trend alignment ensures you're trading with higher timeframe momentum
Reduces false signals from counter-trend moves
3. Liquidity Sweep Detection
Identifies stop hunts and liquidity grabs
Provides early warning of potential reversals
Graduated confidence (0.5 for touch, 1.0 for full sweep)
4. Zone-Based Trading
Supply/Demand zone detection for key levels
Percentage-based proximity works across all instruments
Combines with rejection candles for high-probability entries
⚠️ Important Notes
Do:
✅ Use on multiple timeframes for confirmation
✅ Combine with price action and market context
✅ Adjust parameters for your trading style
✅ Use proper risk management always
Don't:
❌ Trade every signal - be selective
❌ Ignore higher timeframe context
❌ Over-optimize parameters
❌ Risk more than 1-2% per trade
🚨 Risk Disclaimer
This indicator is a tool for analysis and should not be the sole basis for trading decisions. Always:
Use proper risk management
Test strategies in demo accounts first
Understand that past performance doesn't guarantee future results
Consider multiple confirmation sources before entering trades
Dual ATR with OffsetGives you a cross when ATR moves unusually, perhaps like would happen at the beginning of a trade.
Key LevelsKey Levels automatically plots the most important price levels directly on your chart — giving you instant clarity on where the market is reacting.
What It Shows
Daily Levels:
Daily Open
Previous Day High & Low
Previous Day Equilibrium (Midpoint)
Weekly Levels:
Previous Week High & Low
Previous Week Equilibrium
Monthly Levels:
Previous Month High & Low
Previous Month Equilibrium
Yearly Levels:
Previous Year High & Low
Previous Year Equilibrium
Features
Fully customizable colors, styles, and line types
Option to toggle each timeframe on/off
Works on any symbol or timeframe
Lightweight and non-intrusive
💡 Why Use It
Easily identify areas where price is likely to react — such as liquidity pools, range extremes, and institutional levels. Perfect for day traders, swing traders, and smart money concept users.
