NovaQore Multi-MA Suite📊 ENGLISH VERSION (TradingView Policy Compliant)
Script Title: NovaQore Multi-MA Suite
📈 MULTI-MA SUITE
Technical indicator designed for trend analysis through multiple configurable moving averages.
🔍 Features:
This indicator provides:
10 Independent Moving Averages - Each MA can be individually enabled/disabled with dedicated controls
4 Types of Moving Average - SMA (Simple), EMA (Exponential), WMA (Weighted), HMA (Hull) to adapt to different strategies
Cross Signal System - Automatically detects crossovers between two selectable moving averages to identify potential entry/exit points
Complete Customization - Each MA has independently configurable period, type, source, and color
⚙️ Configurable Parameters:
MA 1-10 Individual Settings: Length (1-500), Type (SMA/EMA/WMA/HMA), Source (Close/Open/High/Low/HL2/HLC3/OHLC4), Custom color, On/Off switch
Signal Settings: Enable/disable cross signals, Fast MA selection (1-10), Slow MA selection (1-10)
Default Setup: MA1=EMA9 (Gold), MA2=EMA21 (Orange), MA3=SMA50 (Cyan), MA4-10 disabled
📊 How to Use:
The indicator displays up to 10 moving averages simultaneously on the chart
"BULL" signals appear when the fast MA crosses above the slow MA (potential long entry)
"BEAR" signals appear when the fast MA crosses below the slow MA (potential short entry)
Colored zones indicate the relative position of moving averages to identify the dominant trend
Tip: Use in combination with price action analysis and other confirmation tools like oscillators or volume indicators.
🎨 Customization:
Fully customizable colors for all 10 moving averages
Configurable alerts for bullish and bearish crossovers
Adaptable display options (show/hide individual MAs)
Pre-set premium gold/black color scheme
⚠️ Important Notes:
This is an educational technical analysis tool
Does not provide automatic trading signals
Requires interpretation and confirmation by the trader
Always backtest on historical data before live use
Cross signals are indicative and require confirmation with other indicators
📚 Methodology:
The indicator is based on multiple moving averages that smooth price data to identify trends. It includes:
SMA (Simple Moving Average) - simple arithmetic average
EMA (Exponential Moving Average) - gives more weight to recent prices
WMA (Weighted Moving Average) - decreasing linear weight
HMA (Hull Moving Average) - reduces lag improving responsiveness
⚡ Compatibility:
All timeframes (1m, 5m, 15m, 1h, 4h, 1D, 1W, 1M)
All markets (Forex, Crypto, Stocks, Indices, Commodities)
Can be used with other NovaQore or standard TradingView indicators
💡 Optimal Use Cases:
Scalping: Use MA1 (EMA9) and MA2 (EMA21) for quick signals
Day Trading: Combine MA2 (EMA21) and MA3 (SMA50) for intraday trends
Swing Trading: Enable MA5 (SMA200) as main trend filter
Disclaimer: This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Trading involves significant risks. Always use proper risk management.
Created with ❤️ by NovaQore FX
📊 VERSIONE ITALIANA
Titolo Script: NovaQore Multi-MA Suite
📈 MULTI-MA SUITE
Indicatore tecnico progettato per l'analisi del trend attraverso medie mobili multiple configurabili.
🔍 Funzionalità:
Questo indicatore fornisce:
10 Medie Mobili Indipendenti - Ogni MA può essere attivata/disattivata singolarmente con controlli dedicati
4 Tipi di Media Mobile - SMA (Simple), EMA (Exponential), WMA (Weighted), HMA (Hull) per adattarsi a diverse strategie
Sistema di Segnali Cross - Rileva automaticamente incroci tra due medie mobili selezionabili per identificare potenziali entry/exit
Personalizzazione Completa - Ogni MA ha periodo, tipo, sorgente e colore configurabili indipendentemente
⚙️ Parametri Configurabili:
MA 1-10 Individual Settings: Lunghezza (1-500), Tipo (SMA/EMA/WMA/HMA), Sorgente (Close/Open/High/Low/HL2/HLC3/OHLC4), Colore personalizzato, On/Off switch
Signal Settings: Attiva/disattiva segnali di incrocio, Selezione MA veloce (1-10), Selezione MA lenta (1-10)
Default Setup: MA1=EMA9 (Oro), MA2=EMA21 (Arancione), MA3=SMA50 (Azzurro), MA4-10 disattivate
📊 Come Utilizzarlo:
L'indicatore visualizza fino a 10 medie mobili simultaneamente sul grafico
I segnali "BULL" appaiono quando la MA veloce incrocia al rialzo la MA lenta (potenziale ingresso long)
I segnali "BEAR" appaiono quando la MA veloce incrocia al ribasso la MA lenta (potenziale ingresso short)
Le zone colorate indicano la posizione relativa delle medie mobili per identificare il trend dominante
Suggerimento: Utilizzare in combinazione con analisi di price action e altri strumenti di conferma come oscillatori o volumi.
🎨 Personalizzazione:
Colori completamente personalizzabili per tutte le 10 medie mobili
Alert configurabili per incroci bullish e bearish
Opzioni di visualizzazione adattabili (mostra/nascondi singole MA)
Schema colori pre-impostato oro/nero premium
⚠️ Note Importanti:
Questo è uno strumento di analisi tecnica educativo
Non fornisce segnali di trading automatici
Richiede interpretazione e conferma da parte del trader
Testare sempre su dati storici prima dell'uso live
I segnali di incrocio sono indicativi e necessitano di conferma con altri indicatori
📚 Metodologia:
L'indicatore si basa su medie mobili multiple che smoothano i dati di prezzo per identificare trend. Include:
SMA (Simple Moving Average) - media aritmetica semplice
EMA (Exponential Moving Average) - maggior peso ai prezzi recenti
WMA (Weighted Moving Average) - peso lineare decrescente
HMA (Hull Moving Average) - riduce il lag migliorando la reattività
⚡ Compatibilità:
Tutti i timeframe (1m, 5m, 15m, 1h, 4h, 1D, 1W, 1M)
Tutti i mercati (Forex, Crypto, Stocks, Indices, Commodities)
Utilizzabile insieme ad altri indicatori NovaQore o standard TradingView
💡 Casi d'Uso Ottimali:
Scalping: Utilizzare MA1 (EMA9) e MA2 (EMA21) per segnali rapidi
Day Trading: Combinare MA2 (EMA21) e MA3 (SMA50) per trend intraday
Swing Trading: Attivare MA5 (SMA200) come filtro di trend principale
Disclaimer: Questo indicatore è fornito solo a scopo educativo e informativo. Non costituisce consulenza finanziaria. Il trading comporta rischi significativi. Utilizzare sempre una corretta gestione del rischio.
Sviluppato da NovaQore FX
Moving Averages
Strategy TILSON T3 ATR v6 (GIM) bootFor boot alerts, use the Tilson T3 ATR GIM indicator. The strategy is for backtesting. Before using it, test it first, especially on aschi candles. Thank you, I hope it will be useful to you.
Salvemoku V1Salvemoku is a multi-timeframe EMA confluence indicator designed for traders seeking clear market direction and high-probability trade setups. By analyzing the 200 EMA across multiple timeframes (65m, 15m, 5m, 1m), it identifies whether the market is in full bullish or bearish alignment.
Key features include:
Multi-Timeframe Analysis: Checks EMA 200 alignment across 65m, 15m, 5m, and 1m charts for precise trend confirmation.
Dashboard Display: Shows direction per timeframe and overall trade status (Full Confluence BUY/SELL, Wait, or No Trade).
EMA Buffer Zone: Visual buffer around EMA 200 to highlight potential support/resistance areas.
Quick Decision-Making: Helps traders identify high-probability entries and avoid low-probability retracements.
Invite-Only Protection: Script source code is hidden; only authorized users can access the indicator.
Trading Tips:
Look for “✅ Full Confluence BUY” or “✅ Full Confluence SELL” for high-probability trades.
Use buffer zones for entries and exits to manage risk effectively.
“⏳ WAIT” indicates retracement phases — avoid trading during these signals.
Salvemoku Salvemoku is a multi-timeframe EMA confluence indicator designed for traders seeking clear market direction and high-probability trade setups. By analyzing the 200 EMA across multiple timeframes (65m, 15m, 5m, 1m), it identifies whether the market is in full bullish or bearish alignment.
Key features include:
Multi-Timeframe Analysis: Checks EMA 200 alignment across 65m, 15m, 5m, and 1m charts for precise trend confirmation.
Dashboard Display: Shows direction per timeframe and overall trade status (Full Confluence BUY/SELL, Wait, or No Trade).
EMA Buffer Zone: Visual buffer around EMA 200 to highlight potential support/resistance areas.
Quick Decision-Making: Helps traders identify high-probability entries and avoid low-probability retracements.
Invite-Only Protection: Script source code is hidden; only authorized users can access the indicator.
Trading Tips:
Look for “✅ Full Confluence BUY” or “✅ Full Confluence SELL” for high-probability trades.
Use buffer zones for entries and exits to manage risk effectively.
“⏳ WAIT” indicates retracement phases — avoid trading during these signals.
Advanced Fibonacci Multi Strategy & Alerts🅰🅻🅿 🇹🇷Advanced Fibonacci Multi Strategy Indicator User Guide
📋 General Information About the Indicator
This indicator is a comprehensive trading tool that combines advanced Fibonacci analysis with a multi-strategy system. It offers intelligent triggering systems, multiple exit strategies, and advanced alarm features.
🎯 Basic Working Logic
Fibonacci System Operation:
Green Fibonacci: Drawn from low to close in an uptrend
Red Fibonacci: Drawn from high to close in a downtrend
Fibonacci levels are automatically calculated and drawn
System Flow:
Triggering → Candle patterns initiate Fibonacci
Fibonacci Drawing → Levels are automatically drawn
Alarm Tracking → Alarms activate at levels
Exit/Continuation → New Fibonacci forms when targets are reached
⚙️ SETTINGS and USAGE
1. CANDLE SETTINGS
text
Green Threshold: 2.5 → Threshold for detecting long green candles
Red Threshold: 2.5 → Threshold for detecting long red candles
Recommendation: Adjust between 1.8-3.0 based on volatility
2. FIBONACCI TRIGGERING SETTINGS (Most Important Section)
Trigger Modes:
Color Only: Any colored candle starts Fibonacci
Long Candle Only: Only long candles start Fibonacci
Long Candle + Trend: Requires both long candle and trend alignment ✅
Trend + Any Candle: Trend alignment + any colored candle
Full Flexible: Manual filter control
Filters:
Trend Filter: Filters trades in trend direction
Long Candle Filter: Requires long candles
3. MULTI-EXIT SYSTEM
Exit Strategies:
Conservative: Early profit taking (%70 at -0.382, %20 at -0.718, %10 at -1.000)
Aggressive: Maximum profit (%20 at -0.382, %20 at -0.718, %20 at -1.000, %40 at -1.618)
Balanced: Balanced distribution ✅
Manual: User-defined exits
4. FIBONACCI SETTINGS
pinescript
Line Length: 50 → Length of Fibonacci lines
Show Lines: true → Show/hide Fibonacci lines
Show Values: true → Display Fibonacci values
5. TREND FILTER SETTINGS
pinescript
Trend Period: 50 → Trend calculation period
Trend Indicator: SMA → Can select SMA or EMA
6. Fibonacci Levels and Alarms
For each Fibonacci level:
✅ Show/Hide option
🔧 Value setting (manual override)
🎨 Color selection
🔔 Alarm active/passive
Standard Fibonacci Levels:
1.000 (High/Low)
0.382
0.500
0.618
0.000 (Base)
-0.382
-0.718
-1.000
-1.618
📊 VISUALIZATION and COLORS
Candle Coloring:
Green: Long green candle or active green Fibonacci
Red: Long red candle or active red Fibonacci
Orange: Waiting mode
Pale colors: Normal candles
Fibonacci Line Colors:
Black: 0.000 and 1.000 levels
Orange: 0.382, 0.500, 0.618 levels
Blue: -0.382 level
Green: -0.718 level
Red: -1.618 level
🔔 ALARM SYSTEM
Alarm Types:
1. Retracement Alarms (0.382, 0.5, 0.618)
Green Fibonacci: Downward touch while green candle is burning
Red Fibonacci: Upward touch while red candle is burning
2. Target Alarms (-0.382, -0.718, -1.000)
Green Fibonacci: Upward target touch (independent of candle color)
Red Fibonacci: Downward target touch (independent of candle color)
3. Stop Alarms (1.000)
Closing price breaking Fib 1.0 level
4. Fibonacci Start Alarms
New green/red Fibonacci formation
🎮 PRACTICAL USAGE EXAMPLES
Scenario 1: Trend Following
text
Trigger Mode: "Long Candle + Trend"
Trend Filter: ACTIVE
Long Candle Filter: ACTIVE
Exit Strategy: "Balanced"
Scenario 2: Scalping
text
Trigger Mode: "Color Only"
Trend Filter: PASSIVE
Exit Strategy: "Conservative"
Scenario 3: Swing Trading
text
Trigger Mode: "Long Candle + Trend"
Trend Filter: ACTIVE
Exit Strategy: "Aggressive"
📈 VISUAL EXPLANATION
text
┌─────────────────────────────────────────────────┐
│ FIBONACCI SYSTEM │
├─────────────────────────────────────────────────┤
│ 🟢 GREEN FIB ACTIVE │
│ Target: 1.23456 | Stop: 1.12345 │
│ 🎯 Multi-Exit: Balanced | Pos: 100% │
│ ⚡ Classic Mode | Mode: Long Candle + Trend │
│ Alarm: ACTIVE 🔔 | Trend: UPWARD 📈 │
└─────────────────────────────────────────────────┘
FIB LEVELS:
1.618 ──────────────────────── 🟥 (-1.618)
1.000 ──────────────────────── ⚫ (-1.000) TARGET
0.718 ──────────────────────── 🟩 (-0.718)
0.382 ──────────────────────── 🟦 (-0.382)
0.000 ──────────────────────── ⚫ (0.000) BASE
0.618 ──────────────────────── 🟧 (0.618)
0.500 ──────────────────────── 🟧 (0.500)
0.382 ──────────────────────── 🟧 (0.382)
1.000 ──────────────────────── ⚫ (1.000) STOP
⚠️ IMPORTANT WARNINGS
Demo Account Testing: Always test before using with real money
Risk Management: Properly adjust position sizing
Market Conditions: Use carefully in sideways markets
Timeframe Compatibility: Choose timeframe suitable for your strategy
🚀 QUICK SETUP FOR BEGINNERS
Basic Settings:
pinescript
Trigger Mode: "Long Candle + Trend"
Trend Filter: true
Long Candle Filter: true
Exit Strategy: "Balanced"
Alarm Settings:
pinescript
0.382 Alarm: true
0.500 Alarm: true
0.618 Alarm: true
-0.382 Alarm: true
-1.000 Alarm: true
1.000 Alarm: true
Visual Settings:
pinescript
Line Length: 50
Show Lines: true
Show Values: true
MFI + MFI MAThis combination is a powerful technical analysis strategy that merges momentum and volume (from the MFI) with the underlying trend direction (from the Moving Average). The core philosophy is simple: Use the Moving Average to determine the market's direction, and use the MFI to find optimal entry points within that trend.
This approach moves beyond using the MFI in isolation, which can generate false signals in a strong, trending market. It adds a crucial layer of context, significantly improving the quality of your signals.
Combined Multi MAs with Floor Pivots and CPR ramlakshmanCombined Multi MAs with Floor Pivots and CPR ramlakshman das
Proteus EMA SystemInstitutional-Grade EMA System
Overview and Originality
The Institutional-Grade EMA System is an advanced, multi-layered Exponential Moving Average (EMA) overlay indicator designed to provide institutional-level trend analysis, market regime identification, and trade signal generation. Unlike standard multi-EMA scripts that simply plot averages and basic crossovers, this indicator introduces a proprietary integration of features tailored for professional traders: customizable presets that dynamically adjust EMA lengths for specific trading styles (e.g., scalping vs. position trading), multiple selectable trend detection algorithms (including a unique multi-bar slope analysis with percentage-based strength thresholding), EMA alignment and confluence detection for spotting high-conviction trends and reversal zones, volume-based signal filtering, and a comprehensive statistics dashboard for real-time market insights.
What makes this script original and worthy of closed-source protection is the bespoke combination of these elements into a cohesive system. For instance, while basic EMA ribbons or trend coloring exist in other indicators, this script's trend detection goes beyond simple comparisons by incorporating a normalized slope percentage calculation (detailed below) to quantify trend strength on a 0-100% scale, integrated with EMA stacking checks and confluence thresholds. This proprietary logic—refined through extensive backtesting on diverse assets—allows for nuanced market regime classification (e.g., "Strong Uptrend" only when alignment, slope strength, and volume align), which isn't replicated in open-source alternatives. The closed-source format protects the exact orchestration of these algorithms, including custom threshold derivations and dashboard computations, preventing direct replication while allowing users full access to the tool's outputs. If published open-source, the unique mathematical formulations (e.g., slope-to-strength mapping) could be easily copied, diminishing its edge in competitive trading environments.
This indicator draws conceptual inspiration from institutional trend-following systems (e.g., those using multiple time-horizon EMAs like in hedge fund models), but enhances them with modern Pine Script capabilities for visual and analytical depth. It's particularly useful for traders seeking to reduce false signals in volatile markets by requiring multi-factor confluence.
What It Does
Core EMA Plotting and Visualization: Plots up to 7 EMAs (5 primary + 2 optional) with dynamic coloring based on detected trend direction and strength (strong bullish: bright green; weak: faded green; neutral: gray; etc.). Includes EMA ribbons (fills between consecutive EMAs) and clouds (broader fills between non-consecutive EMAs) to visualize trend expansion/contraction.
Trend Detection and Strength: Classifies trends as strong/weak bullish/bearish or neutral using user-selectable methods, with optional volume confirmation to filter low-conviction moves.
Advanced Analytics:
Detects EMA alignment (all EMAs stacked in ascending/descending order for bullish/bearish trends).
Identifies EMA confluence zones (tight clustering of EMAs, signaling potential reversals or consolidations).
Draws dynamic support/resistance lines from the nearest EMAs relative to price.
Signals and Alerts: Generates buy/sell signals on customizable EMA crossovers, only if volume thresholds are met. Includes alerts for crossovers, alignments, confluences, and regime shifts.
User Interface Enhancements: Background coloring for quick trend bias (e.g., green for uptrends, yellow for confluences), dynamic line widths (thicker for slower EMAs), trend state labels, and a table-based dashboard displaying metrics like market regime, trend strength percentage, EMA slopes in degrees, price distances to key EMAs, volume status, and alignment state.
Customization Presets: Pre-configured EMA lengths for Scalping (short, reactive: e.g., 5/8/13), Day Trading (balanced: 9/21/50), Swing Trading (medium-term: 20/50/100), Position Trading (long-term: 50/100/150), or fully custom.
The result is a versatile tool that adapts to any timeframe or asset, helping traders identify high-probability setups by combining trend momentum, volume, and EMA dynamics.
How It Works: Underlying Concepts and Calculations
Without revealing the full implementation, here's a transparent overview of the key concepts and methodologies to help users understand the indicator's logic:
EMA Calculation and Presets: EMAs are computed using standard exponential smoothing (weighting recent prices more heavily). Presets optimize lengths based on trading horizon—shorter for scalping to capture quick reversals, longer for position trading to filter noise. For example, Swing preset uses 20/50/100/150/200 to balance short-term pullbacks with long-term trends, derived from Fibonacci-inspired progressions for natural market rhythm alignment.
Trend Detection Methods: Users select from four algorithms for flexibility:
Multi-Bar Slope (Default): Calculates the average slope over a lookback period (e.g., 3 bars) as (current EMA value - EMA value ) / lookback. Normalizes to a percentage relative to the EMA value: slope_percent = (slope / EMA) * 100. Thresholds classify trends (e.g., >0.05% = strong bullish; 0.01-0.05% = weak; symmetric for bearish). This method draws from linear regression concepts but simplifies for real-time use, providing robust trend quantification over simple bar-to-bar changes.
Previous Bar: Compares current EMA to the prior bar's, with percentage change thresholds (e.g., >0.1% = strong) for quick momentum shifts.
EMA vs EMA: Measures the percentage difference between fast and slow EMAs (e.g., >2% = strong bullish), inspired by MACD-like divergence but applied directly to EMAs.
Price Position: Gauges price's percentage distance from the EMA (e.g., >1% above = strong bullish), similar to envelope channels but integrated into trend coloring.
Trend strength is further scored (0-100%) by averaging absolute slopes of key EMAs, scaled for dashboard display.
Volume Confirmation: Uses a simple moving average of volume over a user-defined length (default 20), requiring current volume to exceed it by a multiplier (default 1.2x) for signal validation. This filters out low-volume fakeouts, akin to institutional volume-weighted strategies.
EMA Alignment: Checks if all visible EMAs are in strict order (fastest highest in uptrends, lowest in downtrends) by iterating through active EMAs and verifying sequential relationships. Signals "ALIGNED" shapes when true, indicating stacked trends like in ribbon strategies but with programmatic validation.
EMA Confluence: Computes the average of active EMAs, then measures the maximum percentage deviation of any EMA from this average. If below a threshold (default 0.5%), marks a "CONFLUENCE ZONE" box, conceptually similar to Bollinger Band squeezes but applied to EMA clusters for reversal anticipation.
Market Regime Classification: Combines alignment, trend score (>30% for "strong"), and price position relative to slowest EMA. For example, bullish alignment + high score = "Strong Uptrend"; close clustering = "Consolidation". This heuristic draws from regime-switching models in quantitative finance.
Signals and Visuals: Crossovers between user-selected EMAs (e.g., fast #1 over slow #2) plot "BUY/SELL" shapes only if volume-confirmed. Ribbons use color fills (green/red) based on EMA order; background shades reflect regime; S/R lines extend from max/min EMAs below/above price over a lookback (default 50 bars).
These calculations ensure the indicator provides actionable, multi-confirmed insights rather than generic plots.
How to Use It
Setup: Add to your chart and select a preset (e.g., "Swing Trading" for 1H-4H charts). Customize trend method (start with "Multi-Bar Slope" for accuracy), enable volume filter for reliability, and toggle visuals like ribbons or dashboard.
Trend Following: In a "Strong Uptrend" (green background, upward slopes >30%, bullish alignment), go long above the fastest EMA. Use S/R lines for stops (below nearest support EMA).
Swing Trading Example: On a daily SPX chart with Swing preset:
Wait for "Weak Uptrend" transition to "Strong" (trend score >50%, positive slopes, volume spike).
Enter long on EMA1 (20) crossing EMA2 (50), confirmed by "BUY" signal.
Target next resistance EMA (e.g., 150), exit on bearish crossover or confluence zone (yellow box signaling potential top).
Risk: Stop below EMA3 (100); aim for 2:1 reward:risk on multi-day holds.
Scalp Trading Example: On a 5-min BTCUSD chart with Scalping preset:
Focus on quick "Weak Bullish" shifts (faded green EMAs, slope >0.01%).
Buy on EMA1 (5) crossing EMA3 (13) with high volume (>1.5x avg).
Scalp 0.2-0.5% gains, exit at slope flattening (dashboard shows <30% strength) or nearest resistance.
Avoid confluences (chop); use 1-min for entries, 15-min for bias.
General Tips:
Combine with price action (e.g., candlestick patterns at confluence zones).
Backtest presets on your asset—adjust thresholds for volatility (e.g., tighter confluence for forex).
Use alerts for hands-off monitoring; multi-timeframe analysis enhances accuracy (higher TF for regime, lower for signals).
For ranging markets ("Neutral" regime), fade extremes near S/R zones.
Examples for Swing Trading
Swing trading focuses on capturing medium-term moves (days to weeks) in trending markets. Use the "Swing Trading" preset, which sets EMAs to 20, 50, 100, 150, 200, 75, 125—balancing sensitivity and smoothness.
Bullish Setup Example: On a daily chart of AAPL, wait for a "Strong Uptrend" regime (green background, bullish alignment label, trend strength >50%). Enter long on a valid bullish crossover (green "BUY" circle) between EMA1 (20) and EMA2 (50), confirmed by high volume. Set stop below nearest support EMA (e.g., EMA3 at 100), target 2-3x risk or next resistance. Hold until bearish crossover or alignment breaks.
Bearish Setup Example: On a 4H chart of EURUSD, spot a "Strong Downtrend" (red background, bearish alignment). Short on a bearish crossover (red "SELL") between EMA1 and EMA3, with volume confirmation. Stop above nearest resistance EMA, exit on confluence zone (yellow) signaling potential reversal.
Tip: Focus on alignments for trend confirmation—avoid trading against them. Use confluence zones as profit-taking areas in ranging markets.
Examples for Scalp Trading
Scalping targets quick, short-term trades (minutes to hours) on lower timeframes. Select the "Scalping" preset for shorter EMAs (5, 8, 13, 21, 34, 55, 89) to catch rapid moves.
Bullish Setup Example: On a 1-min chart of BTCUSD, look for "Weak Uptrend" (faded green background, positive slopes). Enter long on a fast crossover (e.g., EMA1 over EMA2) with high volume and no confluence (avoid chop). Scalp for 0.5-1% gain, exit on slope flattening or bearish cross. Use tight stops below the fastest EMA.
Bearish Setup Example: On a 5-min chart of TSLA, identify "Weak Downtrend" (faded red). Short on a crossover between EMA2 and EMA3, confirmed by volume spike. Target small moves (e.g., 10-20 pips), exit at nearest support EMA or if trend strength drops below 30%.
Tip: Prioritize "Multi-Bar Slope" detection for quick trend shifts. Disable background if it's distracting; focus on crossovers and volume for high-frequency entries. Avoid during confluences, as they signal choppy conditions.
This detailed approach ensures traders can replicate setups while appreciating the indicator's original value. Feedback welcome—let's refine trading edges together!
15 minute breakout strat version Breakout strategy for the 4th 15 minute candle of the US session.
Ideal for ES and GC currently.
2 Lots per trade. Stop is low of candle. Entry is close of 15 minute candle above high of candle.
TP1 is 1.5x entry - stop (1.5:1 RR on first lot). Stop is trailed below lows of subsequent candles for 2nd lot.
Moving Averages Power
-----------------------------------------------------------------------------
This is a README in Pine Script format for TradingView publication.
It contains usage docs in comments and a no-op plot so it uploads without issue.
For the actual indicator, use: moving_averages_simple.pine
-----------------------------------------------------------------------------
plot(na) no-op to keep the script valid without drawing anything
=============================================================================
Moving Averages (5–4320) — Trend + Normalized Strength
=============================================================================
Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact
table with each MA’s:
- Slope % (per-bar)
- Trend (Bullish/Bearish/Neutral)
- Normalized “Strength” bars comparable across MA lengths and, optionally,
across timeframes via ATR%
Not financial advice. For research/education only.
----------------------------------------------------------------------------
Scope
----------------------------------------------------------------------------
- Simple Moving Averages (SMA) only
- Periods: 5, 10, 20, 30, 60, 120, 160, 240, 480, 720, 960, 1440, 1750, 2880, 4320
- Overlays lines + end-of-series labels; adds a 4×16 table (bottom-right)
- Strength normalization modes: None, Length, ATR%, Length+ATR%
----------------------------------------------------------------------------
Key Features
----------------------------------------------------------------------------
- 15 SMA lines on one chart
- Line/label/table colors reflect trend:
• Bullish (slope > 0): green
• Bearish (slope < 0): red
• Neutral (otherwise): gray
- Normalized Strength bars comparable across MA lengths and (optionally) across
timeframes via ATR%
- Show/hide any SMA; adjustable font sizes for labels and table
----------------------------------------------------------------------------
Installation (TradingView)
----------------------------------------------------------------------------
1) Open TradingView → any chart → Pine Editor
2) Create a new script and paste the contents of moving_averages_simple.pine
3) Save → Add to chart
4) Open Settings to customize inputs
(This README.pine is just documentation. It does not draw lines or the table.)
----------------------------------------------------------------------------
Usage
----------------------------------------------------------------------------
Table columns:
- MA: the moving average period
- Slope %: per-bar percent change of the MA
slope% = 100 × (MA − MA ) / MA
- Trend: Bullish (green), Bearish (red), Neutral (gray)
- Strength: a bar of ▮ characters, computed from normalized strength and
clamped to a max (default 10 bars)
Strength normalization (S):
- None: S = |slope%|
- Length: S = |slope%| × (length / normRefLen)
- ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close
- Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR%
Bars: bars = floor(S / strengthStep), clamped to maxStrengthBars
Notes:
- normRefLen (default 240) stabilizes Length scaling across very short/long MAs
- In ATR modes, Strength is blank until ATR is ready (requires atrLen bars)
----------------------------------------------------------------------------
Inputs (Settings)
----------------------------------------------------------------------------
- Display: 15 toggles to show/hide SMA 5 … SMA 4320
- Text Settings: Label font size; Table font size
- Strength Settings:
• Strength normalization: None | Length | ATR% | Length+ATR%
• Strength step (normalized units): sensitivity of bar count
• Max bars: clamp for bar count (default 10)
• Normalization reference length: baseline for Length scaling (default 240)
• ATR Length (for ATR% normalization): ATR lookback for ATR%
----------------------------------------------------------------------------
Recommended presets
----------------------------------------------------------------------------
Intraday (e.g., BTCUSD, 1h):
- Normalization: Length+ATR%
- normRefLen: 240
- Strength step: 0.02–0.05
- Max bars: 10
- ATR Length: 14
Daily (e.g., AAPL, 1D):
- Normalization: Length
- normRefLen: 240–480
- Strength step: 0.01–0.03
- Max bars: 10
----------------------------------------------------------------------------
Calibration tips
----------------------------------------------------------------------------
Bars often maxed (pegged)?
- Increase Strength step (e.g., 0.01 → 0.03 → 0.05)
- Or increase normRefLen (e.g., 240 → 480 → 720)
Bars too few?
- Decrease Strength step (e.g., 0.02 → 0.01 → 0.005)
- Or decrease normRefLen (e.g., 240 → 120)
Cross-timeframe comparability:
- Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune
----------------------------------------------------------------------------
Limitations
----------------------------------------------------------------------------
- SMA only (no EMA/WMA/etc.)
- Per-bar slope is timeframe-sensitive; use ATR% or Length+ATR% for better
cross-timeframe comparisons
- ATR modes require atrLen bars; Strength shows blank until ready
- Longest SMA (4320) needs sufficient chart history
----------------------------------------------------------------------------
Troubleshooting
----------------------------------------------------------------------------
- Strength always maxed:
• Using Length mode with too-small step → increase step and/or use Length+ATR%
• Review normRefLen (higher ref length dampens long MAs)
- Strength blank cells:
• In ATR modes, wait for atrLen bars or use Length mode
- Table bounds:
• If you customize periods or table size in the main script, keep header at
row 0 and at most 15 data rows (4×16 table)
----------------------------------------------------------------------------
Compatibility
----------------------------------------------------------------------------
- Pine Script v6
- Works on most symbols/timeframes with adequate history
----------------------------------------------------------------------------
Credits & Feedback
----------------------------------------------------------------------------
If you find this useful, consider sharing your preferred defaults (symbol/
timeframe) so better presets can be added. PRs/issues welcome in the repo.
Moving Averages PowerMoving Averages Power — Trend + Normalized Strength
Lightweight indicator that plots up to 15 SMAs (5 → 4320) and shows a compact table with each MA’s:
Slope % (per-bar)
Trend (Bullish/Bearish/Neutral)
Normalized “Strength” bars comparable across MA lengths and, optionally, across timeframes via ATR%
Not financial advice. For research/education only.
What it does
Plots 15 SMA lines on the price chart
Colors match trend: Bullish (green), Bearish (red), Neutral (gray)
Bottom-right table: MA, Slope %, Trend, Strength bars
Strength normalization modes:
None: raw |slope%|
Length: scales by length relative to a reference length
ATR%: scales by volatility (ATR as % of price)
Length+ATR%: combines both for better cross-timeframe comparability
How it works (concepts)
Slope % per bar: 100 × (MA − MA ) / MA
Normalization:
None: S = |slope%|
Length: S = |slope%| × (length / normRefLen)
ATR%: S = |slope%| / ATR%, where ATR% = 100 × ATR(atrLen) / close
Length+ATR%: S = (|slope%| × (length / normRefLen)) / ATR%
Bars: floor(S / strengthStep), clamped to Max bars (default 10)
Notes:
normRefLen (default 240) keeps Length scaling stable across very short and very long MAs
In ATR modes, Strength shows blank until there’s enough history for ATR
How to use
Add the indicator to your chart (Indicators → search this title → Add).
Open Settings:
Show/hide any of the 15 SMAs
Choose Strength normalization mode
Tune Strength step, Max bars, Reference length, and ATR Length
Read the table:
MA: period
Slope %: per-bar percent change of the MA
Trend: green (bullish), red (bearish), gray (neutral)
Strength: more bars = stronger trend under the chosen normalization
Inputs (quick reference)
Display:
15 toggles: Show SMA 5 … Show SMA 4320
Strength Settings:
Strength normalization: None | Length | ATR% | Length+ATR%
Strength step (normalized units): sensitivity of bar count
Max bars: clamp for the bar count (default 10)
Normalization reference length: baseline for Length scaling (default 240)
ATR Length (for ATR%): ATR lookback used for ATR%
Text:
Label font size, Table font size
Line + label colors
Bullish (slope > 0): green
Bearish (slope < 0): red
Neutral (otherwise): gray
The MA lines, end-of-series labels, and table trend cell use the same colors
Recommended presets (examples)
Intraday (e.g., BTCUSD, 1h):
Strength normalization: Length+ATR%
normRefLen: 240
Strength step: 0.02–0.05
Max bars: 10
ATR Length: 14
Daily (e.g., AAPL, 1D):
Strength normalization: Length
normRefLen: 240–480
Strength step: 0.01–0.03
Max bars: 10
Calibration tips
Bars often at max (pegged)?
Increase Strength step (e.g., 0.01 → 0.03 → 0.05)
Or increase normRefLen (e.g., 240 → 480 → 720)
Bars too few?
Decrease Strength step (e.g., 0.02 → 0.01 → 0.005)
Or decrease normRefLen (e.g., 240 → 120)
Cross-timeframe comparability:
Prefer Length+ATR%; start with Strength step ≈ 0.02–0.05 and tune
Limitations
SMA only (no EMA/WMA/etc.)
Per-bar slope is inherently timeframe-sensitive; use ATR% or Length+ATR% for better cross-timeframe comparisons
ATR modes require atrLen bars; Strength shows blank until ready
The longest SMA (4320) needs sufficient chart history
Troubleshooting
Strength always looks maxed:
You might be on Length mode with a very small step; increase Strength step and/or use Length+ATR%; review normRefLen
Strength blank cells:
In ATR modes, wait for enough history (atrLen) or switch to Length mode
Table bounds:
The script manages rows internally; if you customize periods, ensure the total rows fit the 4×16 table
Compatibility
Pine Script v6
Works on most symbols/timeframes with adequate history
If you find this useful, consider leaving feedback with your preferred defaults (symbol/timeframe) so I can provide better presets.
Custom Stock Indicator with Bollinger Bands9, 20, 50, 200 sma, Bollinger bands, MACD bullish crossover signal (blue dot) and candle counting
This TradingView indicator overlays on the price chart to provide trend analysis, volatility bands, momentum signals, and a consecutive candle counter for bullish sequences above the 9-period SMA. Key features include:
Moving Averages:
9-period SMA (green line).
50-period SMA (orange line).
200-period SMA (red line).
20-period SMA (yellow line, used as Bollinger Bands basis).
Bollinger Bands:
Standard 20-period SMA basis with 2 standard deviations.
Gray upper and lower bands with a semi-transparent gray fill (90% transparency) for volatility visualization.
MACD Bullish Crossover Signal:
Uses default MACD (12, 26, 9).
Tiny electric blue circles plotted below the bar (shifted down by 2 bars) when the MACD line crosses above the signal line, indicating potential bullish momentum.
Candle Counter for Bullish Sequence:
Activates only when SMA9 > SMA200 (alignment condition).
Starts/Increments: When the entire candle (including wicks: low > SMA9) fully closes above the SMA9.
Stops/Resets: When the entire candle (high < SMA9) fully closes below SMA9.
Straddling Candles (overlapping SMA9): Continues incrementing the count if the sequence has already started; otherwise, stays at 0.
Displays small white number labels (e.g., "1", "2") above the high of the current bar if count > 0, ensuring immediate visual feedback on historical and real-time bars.
The script is lightweight, focuses on bullish confirmation (e.g., for stocks like AMD), and avoids clutter by using tiny shapes and transparent fills. It evaluates conditions on the current bar for accurate historical counting without delays. No RSI signals are included, as per the latest updates. To use, paste into TradingView's Pine Editor and apply to a chart.
Composite Stochastic Oscillator (CSO) [SharpStrat]Composite Stochastic Oscillator (CSO)
The Composite Stochastic Oscillator (CSO) is a refined momentum tool designed to improve on the limitations of the traditional stochastic indicator. Standard stochastics are often too sensitive, producing choppy signals and frequent false turns. CSO tackles this problem by combining multiple stochastic calculations, each with different lengths and smoothing settings, into a single, balanced output.
The goal of combining these stochastic variants is to create a more stable and reliable reading of market momentum. Each version of the stochastic captures different aspects of price behavior like shorter ones react faster, while longer ones filter noise. CSO brings them together mathematically to form a composite oscillator that reacts smoothly and consistently across varying market conditions. This makes it a useful improvement over the standard stochastic, providing traders with a more dependable signal while retaining the familiar interpretation framework.
How It Works
Calculates five independent stochastic oscillators with customizable K, D, and slowing parameters.
Each stochastic contributes to the final composite value according to its assigned weight, allowing the user to emphasize faster or slower reactions.
The resulting composite K is then smoothed into a D line using a chosen moving average method (SMA, EMA, WMA, or RMA).
The oscillator is plotted along with optional overbought/oversold levels and a color fill to enhance visual interpretation.
A compact on-chart table displays the current K and D readings for quick reference.
Comparison with normal Stochastic
Compared to a standard stochastic, the CSO generally produces smoother lines and fewer false flips. As evident in the comparison chart, this improves upon the normal stochastic by reducing noise and making signals more reliable, although results depend on parameter settings too.
How To Use It
Use the CSO exactly like a normal stochastic: look for crossovers, overbought/oversold zones, and divergences.
In practice, CSO should provides smoother and more consistent signals than the regular stochastic, especially in sideways or volatile markets.
When plotted beside a standard stochastic, you’ll notice CSO avoids many of the false reversals that clutter traditional readings.
Customization Options
Choice of smoothing method (SMA, EMA, WMA, RMA).
Full control over each stochastic component’s parameters and weights.
Adjustable overbought/oversold levels and display preferences.
Option to enable or disable the on-chart table and zone fills.
Note
This indicator is shared purely for educational and research purposes. It is not financial advice and should not be treated as a ready-made trading system.
I encourage you to experiment with different parameter values (periods, weights, smoothing) to explore how the behavior changes and to learn from the results.
Billionaire Gold ClubBillionaire Gold Club — Long-Term Gold Trend Follower
Overview
The Billionaire Gold Club indicator is designed for traders who follow the long-term bullish bias of Gold (XAU/USD).
It focuses only on BUY opportunities and encourages patience during market pullbacks.
The goal is to trade with the main trend, not against it.
Instructions
1. The script automatically plots 7MA (fast) and 200MA (slow).
2. When 7MA crosses above 200MA, a BUY signal appears.
3. When 7MA crosses below 200MA, a Standby signal appears — do not sell, just wait for the next BUY.
Usage Rules
• Recommended timeframe: 15-minute or higher.
• If used below 15 minutes, treat it as day trading — close trades within the same day.
• Focus on long-term holding and small lot sizes to protect your capital.
Signal Guide
🟢 BUY → Enter the trend direction.
🟠 Standby → Pause new entries and wait patiently.
Alerts
Set alerts to "Once per bar close":
• BUY Signal → Golden Cross confirmed.
• Standby Signal → Death Cross confirmed.
Philosophy
"Obey the rules, and your probability of success increases."
This system rewards patience, discipline, and long-term trend following.
Follow me for more TradingView scripts and updates.
Billionaire Gold Clubは、ゴールド（XAU/USD）の長期上昇トレンドに沿って取引するためのインジケーターです。
基本的にBUYのみを狙い、デッドクロス時はStandby（待機）状態として次のBUYを待ちます。
推奨時間軸：15分足以上。
15分未満で使用する場合はデイトレードとして同日中にクローズすることを推奨します。
ロットを小さく保ち、長期保有で安定した運用を目指してください。
Andrei Marin4 EMA MTF (M5 + M30) – Buy/Sell on Close Above/Below🚀 4 EMA MTF (M5 + M30) — Trend Power Confirmation System
Catch the trend before it takes off.
This indicator fuses multi-timeframe momentum and precision trend alignment using 4 EMAs (2 from M5 + 2 from M30). When short- and mid-term trends lock in the same direction, you get clean, high-probability Buy and Sell signals — confirmed only on bar close, no repainting.
💡 The Concept
In trending markets, real consistency comes from multi-timeframe confluence.
This tool reads both your local M5 chart and the higher-timeframe M30 to detect moments when price breaks above or below all four EMAs — meaning both intraday and swing flows are aligned.
When the M5 and M30 EMAs agree, it’s not noise — it’s momentum.
✅ BUY → Price closes above all 4 EMAs
❌ SELL → Price closes below all 4 EMAs
🔒 No repaint: All conditions confirmed after bar close.
🔍 Features
🧭 4 EMA Fusion: EMA 20 & 50 on both M5 and M30 for double-layer confirmation.
⚡ Instant Visuals: Arrows mark fresh buy/sell signals only when trend alignment occurs.
🎨 Dynamic Background: Teal = bullish control, Red = bearish momentum.
🔔 Built-in Alerts: Receive instant notifications when new signals trigger.
🧩 Customizable: Change EMA lengths, higher-timeframe (HTF), or turn visuals on/off.
🧠 How It Works
Local EMAs (M5): Fast/Slow smoothing of short-term trend.
Higher-TF EMAs (M30): Pulled securely with request.security() and no repaint settings (lookahead_off).
Signals appear only once, when a new alignment is confirmed on close — eliminating fake flips.
⚙️ Inputs
Category Parameter Default Description
M5 Settings EMA rapide / EMA lente 20 / 50 Short-term trend layer
M30 Settings Timeframe HTF 30 Medium-term confirmation
M30 EMAs EMA rapide / EMA lente 20 / 50 Higher-timeframe trend filter
Display Show Labels / Background ON / ON Optional visuals
🧭 Why Traders Love It
🔹 Crystal-clear direction — no second guessing trend bias
🔹 No laggy repainting tricks — only confirmed data
🔹 Adaptable for all assets — Forex, Indices, Crypto, Metals
🔹 Perfect companion for scalpers and intraday swing traders
This is your trend alignment radar — simple, visual, and powerful.
🔔 Alerts
BUY ALERT: “Close above EMA20/50 (M5 + M30)”
SELL ALERT: “Close below EMA20/50 (M5 + M30)”
You can connect these alerts to bots, webhooks, or notifications — stay synced with every confirmed breakout.
⚠️ Notes
This is a confirmation tool, not a standalone entry system. Combine it with:
Structure breaks or liquidity sweeps
ATR-based stop losses
Volume or session filters
🌍 Summary
4 EMA MTF (M5 + M30) delivers multi-timeframe precision with clean, non-repainting signals that align your short-term and mid-term trends.
Designed for traders who demand clarity, momentum, and discipline.
💬 “When M5 and M30 agree — the trend just got serious.”
Advanced Memecoin Tracker -> PROFABIGHI_CAPITAL🌟 Overview
The Advanced Memecoin Tracker -> PROFABIGHI_CAPITAL is a specialized multi-chain memecoin intelligence dashboard that integrates relative strength positioning (RSP) via RSI on asset ratios with benchmark-relative metrics to score up to 36 memecoins across Ethereum, Solana, SUI, and BASE/VIRTUAL ecosystems. It computes weighted composites from outperformance binaries, category-leading RSP flags, and rank-based points, visualized in expansive tables for median benchmarking and top rankings to pinpoint viral momentum leaders amid speculative volatility.
🔧 General Settings
- Toggle for activating alpha to isolate excess returns beyond benchmark influence, highlighting unique memecoin drivers
- Toggle for enabling beta to quantify volatility correlation with the benchmark, aiding memecoin risk profiling
- Toggle for incorporating Sharpe ratio to gauge overall efficiency of returns relative to total risk exposure
- Toggle for including Sortino ratio to prioritize returns adjusted specifically for downside volatility impacts
- Toggle for utilizing omega ratio to weigh probability-adjusted gains against losses above a target threshold
- Toggle for adding rate of change (ROC) to capture raw momentum shifts over a specified horizon
- Adjustable lookback periods for alpha and beta regressions, tuning between stability and recency in relative analysis
- Customizable benchmark symbol , such as market indices, to establish the reference frame for comparative evaluations
- Configurable Sharpe rolling window and smoothing for responsive risk-reward snapshots
- Extended Sortino and omega periods with risk-free rates and target returns for robust downside and distributional insights
- ROC horizon setting to balance short-term reactivity with trend confirmation
- Scalable asset count up to 36 and top display limit for efficient screening from niche memecoin clusters to full ecosystems
📋 Table Settings
- Background transparency for semi-opaque overlays, ensuring readability while preserving pane context
- Border styling for clear delineation of data sections without visual clutter
- Text sizing options , from compact to prominent, to suit screen preferences and detail levels in dense memecoin grids
📈 RSP Settings
- RSI length for relative strength computations, defining the oscillator period on memecoin cross-ratios
- Primary smoothing type , selectable from standard averages to advanced hull or variable index for signal refinement
- Primary smoothing length , adjusting lag to match analysis timeframe from intraday to weekly
- Secondary smoothing type , allowing layered processing or dynamic comparisons for deeper confirmation
- Secondary smoothing length , providing extended baseline for stable relative momentum readings
- Toggle for second MA comparison , shifting scoring from absolute levels to relative crossovers
- VIDYA volatility lookback , dynamically scaling smoothing to market dispersion for adaptive RSP
🪙 Specific Coins
- ETH symbol input for RSP baseline, anchoring Ethereum memecoin relative strength calculations
- SOL symbol input for Solana ecosystem comparisons, evaluating chain-specific outperformance
- SUI symbol input for SUI memecoin benchmarking, highlighting ecosystem leaders
- VIRTUAL symbol input for BASE/VIRTUAL chain reference, facilitating cross-layer analysis
📊 Ethereum Memecoins
- Individual symbol inputs for up to 9 Ethereum-based memecoins, supporting high-liquidity viral tokens
- Grouped configuration for Ethereum ecosystem focus, enabling chain-specific RSP and metric screening
- Flexible ticker replacement for emerging or favorite memecoins within the Ethereum layer
📊 Solana Memecoins
- Individual symbol inputs for up to 9 Solana-based memecoins, targeting fast-chain speculative plays
- Grouped setup for Solana ecosystem isolation, optimizing relative strength across high-velocity tokens
- Customizable for new Solana launches, integrating with RSP for momentum hierarchy
📊 SUI Memecoins
- Individual symbol inputs for up to 9 SUI-based memecoins, focusing on layer-1 innovation tokens
- Dedicated grouping for SUI chain analysis, facilitating ecosystem-relative performance ranking
- Adaptable for SUI-specific narratives, blending with metrics for targeted selection
📊 BASE/VIRTUAL Memecoins
- Individual symbol inputs for up to 9 BASE/VIRTUAL memecoins, covering emerging layer-2 and virtual assets
- Consolidated group for BASE/VIRTUAL screening, emphasizing cross-layer memecoin dynamics
- Versatile for virtual economy tokens, supporting RSP comparisons within niche categories
📡 Data Fetching
- Benchmark retrieval on demand for alpha or beta needs, using daily resolution for consistent periodicity
- Parallel asset close pulls via security functions for 36 memecoins, ensuring uniform timeframe data
- Specific chain baselines fetched separately for ETH, SOL, SUI, VIRTUAL to enable targeted RSP
- Na defaults for inactive assets, preventing errors in partial memecoin scans
- Confirmed bar gating for price updates, aligning with real-time execution fidelity
🔢 Calculation Functions
- Exchange prefix remover for clean ticker displays, stripping identifiers for concise labeling
- Returns calculator standardizing daily percentage changes, zero-filling gaps for continuity
- Alpha isolator via regression intercept, extracting benchmark-independent performance
- Beta quantifier through covariance ratio, measuring systematic sensitivity with safeguards
- Sharpe efficiency engine , annualizing mean over volatility with exponential noise reduction
- Sortino downside protector , looping negative deviations for targeted risk adjustment and scaling
- Omega distribution analyzer , accumulating excesses and shortfalls for gain-loss probability ratios
- ROC momentum extractor , delivering unbounded percentage shifts with na neutrality
- Constant source checker , filtering static data to avoid misleading RSP computations
- Smoothed RSI calculator , applying multi-type averages including volatility-responsive VIDYA
- Score generator , binary outcomes from level thresholds or MA crossovers on relative prices
- RSP scores calculator , aggregating binaries across chain baselines for ecosystem leadership
📊 Returns Calculations
- Daily returns series for all 36 memecoins, foundational for regression and ratio inputs
- Benchmark returns computed conditionally, serving as relative analysis baseline
📈 Alpha Calculations
- Per-memecoin alpha toggled and derived, isolating benchmark excess for speculative edge detection
- Regression-based intercepts across assets, feeding into binary outperformance flags
📈 Beta Calculations
- Per-memecoin beta activated on demand, quantifying chain volatility against market
- Covariance ratios for systematic exposure, enhancing risk context in memecoin rankings
⚖️ Sharpe Calculations
- Rolling annualized Sharpe for each memecoin, assessing efficiency in high-volatility plays
- Smoothed volatility-adjusted returns , parallel computation for cross-chain comparability
🛡️ Sortino Calculations
- Downside-focused Sortino [/b> per memecoin, emphasizing loss aversion in speculative assets
- Loop-based deviation summing [/b>, scaled annually with risk-free adjustment for precision
🔄 Omega Calculations
- Distributional omega for each memecoin, capturing tail risks in viral surges
- Target-threshold accumulation [/b>, smoothed for gain-loss probability insights
📉 ROC Calculations
- Momentum ROC [/b> across memecoins, unbounded percentage changes for trend velocity
- Period-specific extraction , toggled for short-term hype detection
🏆 RSP Calculations
- Price array storage for 36 memecoins, enabling relative ratio computations
- Per-asset RSP matrices [/b>, filling with smoothed RSI binaries on cross-memecoin ratios
- Grand combined array [/b>, flattening matrices for holistic rank derivation
- Summed totals per asset , aggregating RSP strengths for competitive positioning
🪙 Specific RSP Scores
- Chain baseline prices for ETH, SOL, SUI, VIRTUAL, anchoring ecosystem-relative computations
- 4-coin RSP scoring , generating binaries on cross-chain ratios for leadership identification
- Max score indexing , pinpointing the dominant chain for category-wide RSP4 flags
📊 Median & Binary Scores
- Enabled metric arrays , collecting valid values for central tendency computation
- Median extraction per metric, providing neutral benchmarks for outperformance flags
- Binary conversion loops , flagging above-median as positive for normalized scoring
- Na exclusion , ensuring only reliable data influences relative classifications
- Per-asset binary arrays , storing flags for weighted contribution to final composites
- RSP4 category flags , binary boosts for memecoins in the leading chain group
🎯 Weighted Scores
- Metric binary summation , averaging enabled flags for risk-return consensus
- RSP points integration , blending rank rewards with metric outcomes for hybrid intelligence
- RSP4 category addition , elevating scores for ecosystem-dominant memecoins
- Balanced weighting , allocating portions to metrics and RSP for multifaceted evaluation
- Last-bar computation , finalizing scores for display without historical interference
📋 Main Data Table
- 16-column matrix centering memecoins with RSP scores, metrics, binaries, RSP4, and final scores
- Header labeling [/b> for clarity, spanning asset identifiers, RSP, performance columns, and flags
- Value rendering , formatted decimals or dashes for unavailable metrics
- Binary color-coding , green for above-median, red below, gray for invalids
- RSP score highlighting , green/red based on positive outperformance
- RSP4 flag column , green for chain leaders, red otherwise
- Score culmination , white text on transparent cells for final eligibility gauge
- Text sizing [/b> uniformity, ensuring legibility in expanded memecoin grids
📊 Median Table
- Compact right-side panel , listing medians for enabled metrics as reference anchors
- Two-column simplicity , metric names left, values right for quick benchmarking
- Dash placeholders [/b> for inactive metrics, maintaining structure without clutter
- White text consistency , neutral presentation for objective central tendencies
🏆 Top Assets Table
- Left-side summary , ranking memecoin leaders by weighted scores in descending order
- Two-column focus , tickers paired with scores for executive overview
- Dynamic sorting [/b> via indices, limiting to top count for prioritized insights
- Prefix-cleaned names , concise labels enhancing scan speed across chains
- Decimal score formatting , white text for clean highlight of elite memecoins
✅ Key Takeaways
- Chain-segmented RSP [/b> uncovers memecoin leaders within Ethereum, Solana, SUI, and BASE/VIRTUAL ecosystems
- Category RSP4 flags boost scores for dominant chain performers, emphasizing viral potential
- Expanded 36-asset capacity scales screening for comprehensive memecoin universes
- Tiered tables [/b>—detailed main with RSP4, neutral medians, elite tops—streamline from scan to speculation
- Modular toggles and smoothings adapt to memecoin volatility, from hype cycles to corrections
- Rank rewards incentivize competitive RSP, revealing cross-chain alpha in speculative niches
- Daily alignment ensures timely insights, quota-efficient for high-volume memecoin tracking
AssetIQ -> PROFABIGHI_CAPITAL🌟 Overview
The AssetIQ -> PROFABIGHI_CAPITAL indicator is an advanced multi-asset intelligence tool for cryptocurrency analysis, blending traditional risk-adjusted metrics with relative strength positioning (RSP) via RSI on cross-asset price ratios to compute comprehensive eligibility scores. It evaluates up to 25 assets against a benchmark, generating weighted composites from binary outperformance flags and rank-based points, displayed in detailed tables for median comparisons and top rankings to guide portfolio selection in competitive markets.
📅 General Settings
- Toggle for activating alpha to isolate excess returns beyond benchmark influence, highlighting unique asset drivers
- Toggle for enabling beta to quantify volatility correlation with the benchmark, aiding diversification assessments
- Toggle for incorporating Sharpe ratio to gauge overall efficiency of returns relative to total risk exposure
- Toggle for including Sortino ratio to prioritize returns adjusted specifically for downside volatility impacts
- Toggle for utilizing omega ratio to weigh probability-adjusted gains against losses above a target threshold
- Toggle for adding rate of change (ROC) to capture raw momentum shifts over a specified horizon
- Adjustable lookback periods for alpha and beta regressions, tuning between stability and recency in relative analysis
- Customizable benchmark symbol , such as market indices, to establish the reference frame for comparative evaluations
- Configurable Sharpe rolling window and smoothing for responsive risk-reward snapshots
- Extended Sortino and omega periods with risk-free rates and target returns for robust downside and distributional insights
- ROC horizon setting to balance short-term reactivity with trend confirmation
- Scalable asset count and top display limit for efficient screening from watchlists to full universes
📋 Table Settings
- Background transparency for semi-opaque overlays, ensuring readability while preserving chart context
- Border styling for clear delineation of data sections without visual clutter
- Text sizing options , from compact to prominent, to suit screen preferences and detail levels
🏷️ Ticker Settings
- Dedicated inputs for up to 25 cryptocurrency symbols, supporting major pairs across exchanges for broad coverage
- Flexible symbol formatting with prefix handling, enabling seamless integration of diverse tickers
- Conditional loading based on asset count, optimizing data retrieval for selected instruments only
📈 RSP Settings
- RSI length for relative strength computations, defining the oscillator period on cross-asset ratios
- Primary smoothing type , selectable from standard averages to advanced hull or variable index for signal refinement
- Primary smoothing length , adjusting lag to match analysis timeframe from intraday to weekly
- Secondary smoothing type , allowing layered processing or dynamic comparisons for deeper confirmation
- Secondary smoothing length , providing extended baseline for stable relative momentum readings
- Toggle for second MA comparison , shifting scoring from absolute levels to relative crossovers
- VIDYA volatility lookback , dynamically scaling smoothing to market dispersion for adaptive RSP
📡 Data Fetching
- Benchmark retrieval on demand for alpha or beta needs, using daily resolution for consistent periodicity
- Parallel asset close pulls via security functions, ensuring uniform timeframe data across symbols
- Na defaults for inactive assets, preventing errors in partial portfolio scans
- Confirmed bar gating for price updates, aligning with real-time execution fidelity
🔧 Core Functions
- Exchange prefix remover for clean ticker displays, stripping identifiers for concise labeling
- Returns calculator standardizing daily percentage changes, zero-filling gaps for continuity
- Alpha isolator via regression intercept, extracting benchmark-independent performance
- Beta quantifier through covariance ratio, measuring systematic sensitivity with safeguards
- Sharpe efficiency engine , annualizing mean over volatility with exponential noise reduction
- Sortino downside protector , looping negative deviations for targeted risk adjustment and scaling
- Omega distribution analyzer , accumulating excesses and shortfalls for gain-loss probability ratios
- ROC momentum extractor , delivering unbounded percentage shifts with na neutrality
📈 RSP Functions
- Constant source checker , filtering static data to avoid misleading RSP computations
- Smoothed RSI calculator , applying multi-type averages including volatility-responsive VIDYA
- Score generator , binary outcomes from level thresholds or MA crossovers on relative prices
- Array population routine , filling per-asset matrices with RSP binaries for cross-comparisons
- Combined matrix builder , concatenating RSP arrays into a unified grid for rank derivation
- Rank-based points assigner , scaling rewards from top positions to encourage competitive outperformance
📊 Calculations
- Daily returns series for all assets, foundational for regression and ratio inputs
- Per-asset alpha and beta toggled and computed, feeding relative strength arrays
- Sharpe, Sortino, omega, and ROC parallels, with na handling for robust aggregation
- RSP price arrays , storing historical closes for ratio-based RSI evaluations
- Per-asset RSP matrices , computing smoothed oscillators on relative pricing
- Summed RSP totals , aggregating binary strengths for initial rank seeding
📦 RSP Calculations
- Asset price fetching on confirmed bars, populating arrays for relative computations
- Matrix filling loops , applying RSP scoring across all active asset pairs
- Grand combined array , merging matrices into a flat structure for efficient ranking
- Per-asset sum arrays , totaling RSP strengths to establish competitive hierarchies
- Rank derivation , comparing sums to assign positions from leader to laggard
- Points scaling , tiered rewards diminishing from top ranks to foster differentiation
📊 Median & Binary
- Enabled metric arrays , collecting valid values for central tendency computation
- Median extraction per metric, providing neutral benchmarks for outperformance flags
- Binary conversion loops , flagging above-median as positive for normalized scoring
- Na exclusion , ensuring only reliable data influences relative classifications
- Per-asset binary arrays , storing flags for weighted contribution to final composites
⚖️ Weighted Scores
- Metric binary summation , averaging enabled flags for risk-return consensus
- RSP points integration , blending rank rewards with metric outcomes for hybrid intelligence
- Balanced weighting , allocating portions to metrics and RSP for multifaceted evaluation
- Last-bar computation , finalizing scores for display without historical interference
📋 Main Table Display
- 16-column matrix centering assets with metric values, binaries, ranks, points, and scores
- Header labeling [/b> for clarity, spanning asset identifiers and performance columns
- Value rendering [/b>, formatted decimals or dashes for unavailable metrics
- Binary color-coding , green for above-median, red below, gray for invalids
- Rank and points [/b> in dedicated columns, highlighting competitive positioning
- Score culmination [/b>, white text on transparent cells for final eligibility gauge
- Text sizing [/b> uniformity, ensuring legibility in dense layouts
📊 Median Table
- Compact right-side panel [/b>, listing medians for enabled metrics as reference anchors
- Two-column simplicity , metric names left, values right for quick benchmarking
- Dash placeholders [/b> for inactive metrics, maintaining structure without clutter
- White text consistency [/b>, neutral presentation for objective central tendencies
🏆 Top Assets Table
- Left-side summary [/b>, ranking leaders by weighted scores in descending order
- Two-column focus [/b>, tickers paired with scores for executive overview
- Dynamic sorting [/b> via indices, limiting to top count for prioritized insights
- Prefix-cleaned names [/b>, concise labels enhancing scan speed
- Decimal score formatting [/b>, white text for clean highlight of elite performers
✅ Key Takeaways
- Hybrid RSP integration [/b> elevates traditional metrics with cross-asset relative strength for superior selection
- Binary medians [/b> normalize outperformance, creating fair comparisons across diverse assets
- Weighted composites fuse risk, momentum, and positioning into actionable intelligence
- Tiered tables [/b>—detailed main, neutral medians, elite tops—streamline from scan to strategy
- Modular toggles and smoothings adapt to regimes, from bull hunts to bear shields
- Rank rewards incentivize competitive RSP, uncovering hidden portfolio alphas
- Daily alignment [/b> ensures timely insights, scalable for watchlists or full scans
Nexus Aeterna - RetailNexus Aeterna is an advanced multi-mode trading framework designed for precision signal generation, risk management, and visual clarity. Built for both retail and professional traders, it integrates adaptive moving averages, dynamic stop-loss management, and contextual volume analysis to enhance trade timing and trend confirmation.
This script provides configurable layers of confirmation between trend, momentum, and volume dynamics — helping traders interpret complex market structure with ease.
⚙️ Key Features
🧠 Dual Operating Modes
Standard Mode: Balanced signal generation with trend alignment and volume context.
Scalp Mode: Lightweight and responsive for short-term trades, referencing only the Spectra MA Cloud.
🌈 Spectra Moving Average System
Adaptive multi-speed moving average suite with adjustable Reaction Speed.
Influences stop-loss placement, take-profit timing, and signal responsiveness.
🧭 Signal & Filter Controls
Macro Trend Filter: Option to align signals with long-term trend direction.
Waveform Oscillator Alignment: Filter entries based on internal momentum and volume divergence.
Final Close Check: Ensures candle confirmation before signal validation.
🎨 Visual Customization
Toggle visibility for:
MA Cloud background
Declining volume/reversal labels
Stop-loss and take-profit signals
Candle coloring by signal and volume delta alignment
Optional display of ATR and Macro Context Tables for real-time contextual awareness.
📊 Waveform Oscillator Integration
Choose a custom timeframe for CVD and oscillator analysis (from 1-minute to monthly).
Enables deeper insight into momentum transitions and divergence across timeframes.
🛑 Responsive Stop-Loss Engine
Fully tunable system including:
Candle offset responsiveness
Dynamic lookback period
Adjustable margin of error
Optional “Responsive Mode” with multipliers for tighter or looser stops
Designed to adapt to volatility and trading style.
🔔 Smart Alerts
Configurable alerts for:
Long / Short entries
Long++ / Short++ advanced confirmations
Take-Profit signals
Optimized for integration with automation platforms and TradingView alerts.
⚠️ Disclaimer
By using this indicator, you acknowledge and agree to release SmartTrade Pro LLC from any liability related to its use.
This tool is for educational and analytical purposes only.
It does not constitute financial advice.
Trading involves substantial risk — always trade responsibly and manage your own risk exposure.
💡 Intended Use
Nexus Aeterna – Retail v2.4 is ideal for:
Traders seeking adaptable market structure confirmation.
Those who combine technical, trend, and volume analysis.
Users who want a visually organized, context-aware trading toolkit.
RSI SMA Cross StrategyRSI SMA Cross StrategyOverviewThis strategy is a simple yet effective trend-following system based on the Relative Strength Index (RSI) and its Simple Moving Average (SMA). It aims to capture long-term trends by entering long positions when the RSI crosses above its SMA (indicating bullish momentum) and exiting when it crosses below (signaling potential weakness). Designed for long-only trading, it's ideal for trending markets.Key FeaturesEntry Signal (Buy): Triggered when the current RSI value crosses above the SMA of RSI from the previous bar.
Exit Signal (Sell): Triggered when the current RSI value crosses below the SMA of RSI from the previous bar.
Position Sizing: Allocates 100% of available equity to each trade.
Costs: Incorporates 0.1% commissions and 1 tick slippage for realistic backtesting.
Date Range: Trades start from January 1, 2018, onwards.
Source: Uses the low price for RSI calculation (customizable via inputs).
Default ParametersRSI Length: 250 periods
SMA Length: 73 periods
Source: Low price
Additional Visuals & AlertsBuy/Sell Shapes: Green triangle up for buys, red triangle down for sells.
RSI 50 Level Crosses: Optional tiny circles marking when RSI crosses above/below 50 (green for above, red for below).
Alerts: Built-in alerts for buy/sell signals and RSI 50 crosses.
Usage TipsBest suited for daily or higher timeframes on stocks, indices, or forex pairs.
Backtest on your preferred symbols to optimize parameters.
Combine with other filters (e.g., trend confirmation) for better performance in ranging markets.
This strategy is for educational purposes. Always manage risk and conduct your own research before trading. Enjoy trading!
Scalping Pro Max - BVKScalping Pro Max Strategy is a powerful intraday setup built for precision and speed.
It combines EMA 21, MACD, and RSI to identify short-term market momentum.
The 21 EMA acts as a dynamic trend filter — price above it signals bullish bias.
MACD confirms momentum strength and possible entry zones with crossover signals.
RSI helps spot overbought or oversold levels for accurate entry timing.
This setup works best on 1-min to 5-min charts for quick scalping opportunities.
Traders aim for small but consistent profits with tight stop-losses.
It avoids false breakouts by aligning all three indicators before entry.
Perfect for volatile sessions like London and New York market hours.
Scalping Pro Max delivers high-precision trades with disciplined execution and timing.
5-Min EMA MACD RSI Scalping (MACD 5 Candles Confirm) - BVK 🔹 5-Min EMA MACD RSI Scalping Strategy – Full Description
The 5-Min EMA MACD RSI Scalping Strategy is a powerful intraday trading technique designed for quick trades on lower timeframes, mainly the 5-minute chart. It combines trend confirmation (EMA), momentum analysis (MACD), and overbought/oversold signals (RSI) to capture short, high-probability price moves in both bullish and bearish markets.
⚙️ Indicators Used:
Exponential Moving Averages (EMA)
EMA 9 – Fast-moving average for entry trigger.
EMA 21 – Medium-term average for trend confirmation.
When EMA 9 crosses above EMA 21 → Bullish bias.
When EMA 9 crosses below EMA 21 → Bearish bias.
MACD (12, 26, 9)
Confirms momentum and possible entry zones.
Bullish confirmation: MACD line crosses above signal line.
Bearish confirmation: MACD line crosses below signal line.
RSI (14-period)
Filters out false signals.
Buy zone: RSI rising above 40–50.
Sell zone: RSI falling below 60–50.
Avoid trades when RSI is near 70 (overbought) or 30 (oversold).
💡 Entry Rules:
Buy Setup (Long Trade):
EMA 9 crosses above EMA 21.
MACD line crosses above signal line (positive momentum).
RSI is above 50 but below 70 (confirming strength).
Enter trade at candle close.
Sell Setup (Short Trade):
EMA 9 crosses below EMA 21.
MACD line crosses below signal line.
RSI is below 50 but above 30 (confirming weakness).
Enter trade at candle close.
🎯 Exit Rules:
Take Profit: 1.5x to 2x of risk or near the opposite EMA crossover.
Stop Loss: Below/above recent swing low/high or 0.3–0.5% away from entry.
Optional trailing stop using EMA 9 for dynamic exits.
📊 Best Timeframes & Assets:
Works best on 5-minute charts.
Suitable for Forex, Indices, Cryptocurrency, and Stocks with good liquidity.
Avoid major news events or low-volume sessions.
⚠️ Tips for Best Results:
Trade only during high-volume market sessions (e.g., London/New York overlap).
Always confirm trend direction on higher timeframes (15m or 1H).
Avoid overtrading—wait for clear signal confluence (EMA + MACD + RSI).
🧠 Strategy Summary:
“EMA gives you the trend, MACD gives you momentum, and RSI keeps you disciplined.”
This strategy is simple yet effective for traders who prefer quick in-and-out trades within minutes, offering a structured approach to scalping with reduced emotional bias.
