Dskyz (DAFE) Adaptive Regime - Quant Machine ProDskyz (DAFE) Adaptive Regime - Quant Machine Pro:
Buckle up for the Dskyz (DAFE) Adaptive Regime - Quant Machine Pro, is a strategy that’s your ultimate edge for conquering futures markets like ES, MES, NQ, and MNQ. This isn’t just another script—it’s a quant-grade powerhouse, crafted with precision to adapt to market regimes, deliver multi-factor signals, and protect your capital with futures-tuned risk management. With its shimmering DAFE visuals, dual dashboards, and glowing watermark, it turns your charts into a cyberpunk command center, making trading as thrilling as it is profitable.
Unlike generic scripts clogging up the space, the Adaptive Regime is a DAFE original, built from the ground up to tackle the chaos of futures trading. It identifies market regimes (Trending, Range, Volatile, Quiet) using ADX, Bollinger Bands, and HTF indicators, then fires trades based on a weighted scoring system that blends candlestick patterns, RSI, MACD, and more. Add in dynamic stops, trailing exits, and a 5% drawdown circuit breaker, and you’ve got a system that’s as safe as it is aggressive. Whether you’re a newbie or a prop desk pro, this strat’s your ticket to outsmarting the markets. Let’s break down every detail and see why it’s a must-have.
Why Traders Need This Strategy
Futures markets are a gauntlet—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional traps that punish the unprepared. Meanwhile, platforms are flooded with low-effort scripts that recycle old ideas with zero innovation. The Adaptive Regime stands tall, offering:
Adaptive Intelligence: Detects market regimes (Trending, Range, Volatile, Quiet) to optimize signals, unlike one-size-fits-all scripts.
Multi-Factor Precision: Combines candlestick patterns, MA trends, RSI, MACD, volume, and HTF confirmation for high-probability trades.
Futures-Optimized Risk: Calculates position sizes based on $ risk (default: $300), with ATR or fixed stops/TPs tailored for ES/MES.
Bulletproof Safety: 5% daily drawdown circuit breaker and trailing stops keep your account intact, even in chaos.
DAFE Visual Mastery: Pulsing Bollinger Band fills, dynamic SL/TP lines, and dual dashboards (metrics + position) make signals crystal-clear and charts a work of art.
Original Craftsmanship: A DAFE creation, built with community passion, not a rehashed clone of generic code.
Traders need this because it’s a complete, adaptive system that blends quant smarts, user-friendly design, and DAFE flair. It’s your edge to trade with confidence, cut through market noise, and leave the copycats in the dust.
Strategy Components
1. Market Regime Detection
The strategy’s brain is its ability to classify market conditions into five regimes, ensuring signals match the environment.
How It Works:
Trending (Regime 1): ADX > 20, fast/slow EMA spread > 0.3x ATR, HTF RSI > 50 or MACD bullish (htf_trend_bull/bear).
Range (Regime 2): ADX < 25, price range < 3% of close, no HTF trend.
Volatile (Regime 3): BB width > 1.5x avg, ATR > 1.2x avg, HTF RSI overbought/oversold.
Quiet (Regime 4): BB width < 0.8x avg, ATR < 0.9x avg.
Other (Regime 5): Default for unclear conditions.
Indicators: ADX (14), BB width (20), ATR (14, 50-bar SMA), HTF RSI (14, daily default), HTF MACD (12,26,9).
Why It’s Brilliant:
Regime detection adapts signals to market context, boosting win rates in trending or volatile conditions.
HTF RSI/MACD add a big-picture filter, rare in basic scripts.
Visualized via gradient background (green for Trending, orange for Range, red for Volatile, gray for Quiet, navy for Other).
2. Multi-Factor Signal Scoring
Entries are driven by a weighted scoring system that combines candlestick patterns, trend, momentum, and volume for robust signals.
Candlestick Patterns:
Bullish: Engulfing (0.5), hammer (0.4 in Range, 0.2 else), morning star (0.2), piercing (0.2), double bottom (0.3 in Volatile, 0.15 else). Must be near support (low ≤ 1.01x 20-bar low) with volume spike (>1.5x 20-bar avg).
Bearish: Engulfing (0.5), shooting star (0.4 in Range, 0.2 else), evening star (0.2), dark cloud (0.2), double top (0.3 in Volatile, 0.15 else). Must be near resistance (high ≥ 0.99x 20-bar high) with volume spike.
Logic: Patterns are weighted higher in specific regimes (e.g., hammer in Range, double bottom in Volatile).
Additional Factors:
Trend: Fast EMA (20) > slow EMA (50) + 0.5x ATR (trend_bull, +0.2); opposite for trend_bear.
RSI: RSI (14) < 30 (rsi_bull, +0.15); > 70 (rsi_bear, +0.15).
MACD: MACD line > signal (12,26,9, macd_bull, +0.15); opposite for macd_bear.
Volume: ATR > 1.2x 50-bar avg (vol_expansion, +0.1).
HTF Confirmation: HTF RSI < 70 and MACD bullish (htf_bull_confirm, +0.2); RSI > 30 and MACD bearish (htf_bear_confirm, +0.2).
Scoring:
bull_score = sum of bullish factors; bear_score = sum of bearish. Entry requires score ≥ 1.0.
Example: Bullish engulfing (0.5) + trend_bull (0.2) + rsi_bull (0.15) + htf_bull_confirm (0.2) = 1.05, triggers long.
Why It’s Brilliant:
Multi-factor scoring ensures signals are confirmed by multiple market dynamics, reducing false positives.
Regime-specific weights make patterns more relevant (e.g., hammers shine in Range markets).
HTF confirmation aligns with the big picture, a quant edge over simplistic scripts.
3. Futures-Tuned Risk Management
The risk system is built for futures, calculating position sizes based on $ risk and offering flexible stops/TPs.
Position Sizing:
Logic: Risk per trade (default: $300) ÷ (stop distance in points * point value) = contracts, capped at max_contracts (default: 5). Point value = tick value (e.g., $12.5 for ES) * ticks per point (4) * contract multiplier (1 for ES, 0.1 for MES).
Example: $300 risk, 8-point stop, ES ($50/point) → 0.75 contracts, rounded to 1.
Impact: Precise sizing prevents over-leverage, critical for micro contracts like MES.
Stops and Take-Profits:
Fixed: Default stop = 8 points, TP = 16 points (2:1 reward/risk).
ATR-Based: Stop = 1.5x ATR (default), TP = 3x ATR, enabled via use_atr_for_stops.
Logic: Stops set at swing low/high ± stop distance; TPs at 2x stop distance from entry.
Impact: ATR stops adapt to volatility, while fixed stops suit stable markets.
Trailing Stops:
Logic: Activates at 50% of TP distance. Trails at close ± 1.5x ATR (atr_multiplier). Longs: max(trail_stop_long, close - ATR * 1.5); shorts: min(trail_stop_short, close + ATR * 1.5).
Impact: Locks in profits during trends, a game-changer in volatile sessions.
Circuit Breaker:
Logic: Pauses trading if daily drawdown > 5% (daily_drawdown = (max_equity - equity) / max_equity).
Impact: Protects capital during black swan events (e.g., April 27, 2025 ES slippage).
Why It’s Brilliant:
Futures-specific inputs (tick value, multiplier) make it plug-and-play for ES/MES.
Trailing stops and circuit breaker add pro-level safety, rare in off-the-shelf scripts.
Flexible stops (ATR or fixed) suit different trading styles.
4. Trade Entry and Exit Logic
Entries and exits are precise, driven by bull_score/bear_score and protected by drawdown checks.
Entry Conditions:
Long: bull_score ≥ 1.0, no position (position_size <= 0), drawdown < 5% (not pause_trading). Calculates contracts, sets stop at swing low - stop points, TP at 2x stop distance.
Short: bear_score ≥ 1.0, position_size >= 0, drawdown < 5%. Stop at swing high + stop points, TP at 2x stop distance.
Logic: Tracks entry_regime for PNL arrays. Closes opposite positions before entering.
Exit Conditions:
Stop-Loss/Take-Profit: Hits stop or TP (strategy.exit).
Trailing Stop: Activates at 50% TP, trails by ATR * 1.5.
Emergency Exit: Closes if price breaches stop (close < long_stop_price or close > short_stop_price).
Reset: Clears stop/TP prices when flat (position_size = 0).
Why It’s Brilliant:
Score-based entries ensure multi-factor confirmation, filtering out weak signals.
Trailing stops maximize profits in trends, unlike static exits in basic scripts.
Emergency exits add an extra safety layer, critical for futures volatility.
5. DAFE Visuals
The visuals are pure DAFE magic, blending function with cyberpunk flair to make signals intuitive and charts stunning.
Shimmering Bollinger Band Fill:
Display: BB basis (20, white), upper/lower (green/red, 45% transparent). Fill pulses (30–50 alpha) by regime, with glow (60–95 alpha) near bands (close ≥ 0.995x upper or ≤ 1.005x lower).
Purpose: Highlights volatility and key levels with a futuristic glow.
Visuals make complex regimes and signals instantly clear, even for newbies.
Pulsing effects and regime-specific colors add a DAFE signature, setting it apart from generic scripts.
BB glow emphasizes tradeable levels, enhancing decision-making.
Chart Background (Regime Heatmap):
Green — Trending Market: Strong, sustained price movement in one direction. The market is in a trend phase—momentum follows through.
Orange — Range-Bound: Market is consolidating or moving sideways, with no clear up/down trend. Great for mean reversion setups.
Red — Volatile Regime: High volatility, heightened risk, and larger/faster price swings—trade with caution.
Gray — Quiet/Low Volatility: Market is calm and inactive, with small moves—often poor conditions for most strategies.
Navy — Other/Neutral: Regime is uncertain or mixed; signals may be less reliable.
Bollinger Bands Glow (Dynamic Fill):
Neon Red Glow — Warning!: Price is near or breaking above the upper band; momentum is overstretched, watch for overbought conditions or reversals.
Bright Green Glow — Opportunity!: Price is near or breaking below the lower band; market could be oversold, prime for bounce or reversal.
Trend Green Fill — Trending Regime: Fills between bands with green when the market is trending, showing clear momentum.
Gold/Yellow Fill — Range Regime: Fills with gold/aqua in range conditions, showing the market is sideways/oscillating.
Magenta/Red Fill — Volatility Spike: Fills with vivid magenta/red during highly volatile regimes.
Blue Fill — Neutral/Quiet: A soft blue glow for other or uncertain market states.
Moving Averages:
Display: Blue fast EMA (20), red slow EMA (50), 2px.
Purpose: Shows trend direction, with trend_dir requiring ATR-scaled spread.
Dynamic SL/TP Lines:
Display: Pulsing colors (red SL, green TP for Trending; yellow/orange for Range, etc.), 3px, with pulse_alpha for shimmer.
Purpose: Tracks stops/TPs in real-time, color-coded by regime.
6. Dual Dashboards
Two dashboards deliver real-time insights, making the strat a quant command center.
Bottom-Left Metrics Dashboard (2x13):
Metrics: Mode (Active/Paused), trend (Bullish/Bearish/Neutral), ATR, ATR avg, volume spike (YES/NO), RSI (value + Oversold/Overbought/Neutral), HTF RSI, HTF trend, last signal (Buy/Sell/None), regime, bull score.
Display: Black (29% transparent), purple title, color-coded (green for bullish, red for bearish).
Purpose: Consolidates market context and signal strength.
Top-Right Position Dashboard (2x7):
Metrics: Regime, position side (Long/Short/None), position PNL ($), SL, TP, daily PNL ($).
Display: Black (29% transparent), purple title, color-coded (lime for Long, red for Short).
Purpose: Tracks live trades and profitability.
Why It’s Brilliant:
Dual dashboards cover market context and trade status, a rare feature.
Color-coding and concise metrics guide beginners (e.g., green “Buy” = go).
Real-time PNL and SL/TP visibility empower disciplined trading.
7. Performance Tracking
Logic: Arrays (regime_pnl_long/short, regime_win/loss_long/short) track PNL and win/loss by regime (1–5). Updated on trade close (barstate.isconfirmed).
Purpose: Prepares for future adaptive thresholds (e.g., adjust bull_score min based on regime performance).
Why It’s Brilliant: Lays the groundwork for self-optimizing logic, a quant edge over static scripts.
Key Features
Regime-Adaptive: Optimizes signals for Trending, Range, Volatile, Quiet markets.
Futures-Optimized: Precise sizing for ES/MES with tick-based risk inputs.
Multi-Factor Signals: Candlestick patterns, RSI, MACD, and HTF confirmation for robust entries.
Dynamic Exits: ATR/fixed stops, 2:1 TPs, and trailing stops maximize profits.
Safe and Smart: 5% drawdown breaker and emergency exits protect capital.
DAFE Visuals: Shimmering BB fill, pulsing SL/TP, and dual dashboards.
Backtest-Ready: Fixed qty and tick calc for accurate historical testing.
How to Use
Add to Chart: Load on a 5min ES/MES chart in TradingView.
Configure Inputs: Set instrument (ES/MES), tick value ($12.5/$1.25), multiplier (1/0.1), risk ($300 default). Enable ATR stops for volatility.
Monitor Dashboards: Bottom-left for regime/signals, top-right for position/PNL.
Backtest: Run in strategy tester to compare regimes.
Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues).
Replay Test: Try April 28, 2025 NQ drop to see regime shifts and stops.
Disclaimer
Trading futures involves significant risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Backtest results may differ from live trading due to slippage, fees, or market conditions. Use this strategy at your own risk, and consult a financial advisor before trading. Dskyz (DAFE) Trading Systems is not responsible for any losses incurred.
Backtesting:
Frame: 2023-09-20 - 2025-04-29
Slippage: 3
Fee Typical Range (per side, per contract)
CME Exchange $1.14 – $1.20
Clearing $0.10 – $0.30
NFA Regulatory $0.02
Firm/Broker Commis. $0.25 – $0.80 (retail prop)
TOTAL $1.60 – $2.30 per side
Round Turn: (enter+exit) = $3.20 – $4.60 per contract
Final Notes
The Dskyz (DAFE) Adaptive Regime - Quant Machine Pro is more than a strategy—it’s a revolution. Crafted with DAFE’s signature precision, it rises above generic scripts with adaptive regimes, quant-grade signals, and visuals that make trading a thrill. Whether you’re scalping MES or swinging ES, this system empowers you to navigate markets with confidence and style. Join the DAFE crew, light up your charts, and let’s dominate the futures game!
(This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.)
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
Moving Averages
Dskyz (DAFE) Quantum Sentiment Flux - Beginners Dskyz (DAFE) Quantum Sentiment Flux - Beginners:
Welcome to the Dskyz (DAFE) Quantum Sentiment Flux - Beginners , a strategy and concept that’s your ultimate wingman for trading futures like MNQ, NQ, MES, and ES. This gem combines lightning-fast momentum signals, market sentiment smarts, and bulletproof risk management into a system so intuitive, even newbies can trade like pros. With clean DAFE visuals, preset modes for every vibe, and a revamped dashboard that’s basically a market GPS, this strategy makes futures trading feel like a high-octane sci-fi mission.
Built on the Dskyz (DAFE) legacy of Aurora Divergence, the Quantum Sentiment Flux is designed to empower beginners while giving seasoned traders a lean, sentiment-driven edge. It uses fast/slow EMA crossovers for entries, filters trades with VIX, SPX trends, and sector breadth, and keeps your account safe with adaptive stops and cooldowns. Tuned for more action with faster signals and a slick bottom-left dashboard, this updated version is ready to light up your charts and outsmart institutional traps. Let’s dive into why this strat’s a must-have and break down its brilliance.
Why Traders Need This Strategy
Futures markets are a wild ride—fast moves, volatility spikes (like the April 28, 2025 NQ 1k-point drop), and institutional games that can wreck unprepared traders. Beginners often get lost in complex systems or burned by impulsive trades. The Quantum Sentiment Flux is the antidote, offering:
Dead-Simple Setup: Preset modes (Aggressive, Balanced, Conservative) auto-tune signals, risk, and sizing, so you can trade without a quant degree.
Sentiment Superpower: VIX filter, SPX trend, and sector breadth visuals keep you aligned with market health, dodging chop and riding trends.
Ironclad Safety: Tighter ATR-based stops, 2:1 take-profits, and preset cooldowns protect your capital, even in chaotic sessions.
Next-Level Visuals: Green/red entry triangles, vibrant EMAs, a sector breadth background, and a beefed-up dashboard make signals and context pop.
DAFE Swagger: The clean aesthetics, sleek dashboard—ties it to Dskyz’s elite brand, making your charts a work of art.
Traders need this because it’s a plug-and-play system that blends beginner-friendly simplicity with pro-level market awareness. Whether you’re just starting or scalping 5min MNQ, this strat’s your key to trading with confidence and style.
Strategy Components
1. Core Signal Logic (High-Speed Momentum)
The strategy’s engine is a momentum-based system using fast and slow Exponential Moving Averages (EMAs), now tuned for faster, more frequent trades.
How It Works:
Fast/Slow EMAs: Fast EMA (Aggressive: 5, Balanced: 7, Conservative: 9 bars) and slow EMA (12/14/18 bars) track short-term vs. longer-term momentum.
Crossover Signals:
Buy: Fast EMA crosses above slow EMA, and trend_dir = 1 (fast EMA > slow EMA + ATR * strength threshold).
Sell: Fast EMA crosses below slow EMA, and trend_dir = -1 (fast EMA < slow EMA - ATR * strength threshold).
Strength Filter: ma_strength = fast EMA - slow EMA must exceed an ATR-scaled threshold (Aggressive: 0.15, Balanced: 0.18, Conservative: 0.25) for robust signals.
Trend Direction: trend_dir confirms momentum, filtering out weak crossovers in choppy markets.
Evolution:
Faster EMAs (down from 7–10/21–50) catch short-term trends, perfect for active futures markets.
Lower strength thresholds (0.15–0.25 vs. 0.3–0.5) make signals more sensitive, boosting trade frequency without sacrificing quality.
Preset tuning ensures beginners get optimized settings, while pros can tweak via mode selection.
2. Market Sentiment Filters
The strategy leans hard into market sentiment with a VIX filter, SPX trend analysis, and sector breadth visuals, keeping trades aligned with the big picture.
VIX Filter:
Logic: Blocks long entries if VIX > threshold (default: 20, can_long = vix_close < vix_limit). Shorts are always allowed (can_short = true).
Impact: Prevents longs during high-fear markets (e.g., VIX spikes in crashes), while allowing shorts to capitalize on downturns.
SPX Trend Filter:
Logic: Compares S&P 500 (SPX) close to its SMA (Aggressive: 5, Balanced: 8, Conservative: 12 bars). spx_trend = 1 (UP) if close > SMA, -1 (DOWN) if < SMA, 0 (FLAT) if neutral.
Impact: Provides dashboard context, encouraging trades that align with market direction (e.g., longs in UP trend).
Sector Breadth (Visual):
Logic: Tracks 10 sector ETFs (XLK, XLF, XLE, etc.) vs. their SMAs (same lengths as SPX). Each sector scores +1 (bullish), -1 (bearish), or 0 (neutral), summed as breadth (-10 to +10).
Display: Green background if breadth > 4, red if breadth < -4, else neutral. Dashboard shows sector trends (↑/↓/-).
Impact: Faster SMA lengths make breadth more responsive, reflecting sector rotations (e.g., tech surging, energy lagging).
Why It’s Brilliant:
- VIX filter adds pro-level volatility awareness, saving beginners from panic-driven losses.
- SPX and sector breadth give a 360° view of market health, boosting signal confidence (e.g., green BG + buy signal = high-probability trade).
- Shorter SMAs make sentiment visuals react faster, perfect for 5min charts.
3. Risk Management
The risk controls are a fortress, now tighter and more dynamic to support frequent trading while keeping accounts safe.
Preset-Based Risk:
Aggressive: Fast EMAs (5/12), tight stops (1.1x ATR), 1-bar cooldown. High trade frequency, higher risk.
Balanced: EMAs (7/14), 1.2x ATR stops, 1-bar cooldown. Versatile for most traders.
Conservative: EMAs (9/18), 1.3x ATR stops, 2-bar cooldown. Safer, fewer trades.
Impact: Auto-scales risk to match style, making it foolproof for beginners.
Adaptive Stops and Take-Profits:
Logic: Stops = entry ± ATR * atr_mult (1.1–1.3x, down from 1.2–2.0x). Take-profits = entry ± ATR * take_mult (2x stop distance, 2:1 reward/risk). Longs: stop below entry, TP above; shorts: vice versa.
Impact: Tighter stops increase trade turnover while maintaining solid risk/reward, adapting to volatility.
Trade Cooldown:
Logic: Preset-driven (Aggressive/Balanced: 1 bar, Conservative: 2 bars vs. old user-input 2). Ensures bar_index - last_trade_bar >= cooldown.
Impact: Faster cooldowns (especially Aggressive/Balanced) allow more trades, balanced by VIX and strength filters.
Contract Sizing:
Logic: User sets contracts (default: 1, max: 10), no preset cap (unlike old 7/5/3 suggestion).
Impact: Flexible but risks over-leverage; beginners should stick to low contracts.
Built To Be Reliable and Consistent:
- Tighter stops and faster cooldowns make it a high-octane system without blowing up accounts.
- Preset-driven risk removes guesswork, letting newbies trade confidently.
- 2:1 TPs ensure profitable trades outweigh losses, even in volatile sessions like April 27, 2025 ES slippage.
4. Trade Entry and Exit Logic
The entry/exit rules are simple yet razor-sharp, now with VIX filtering and faster signals:
Entry Conditions:
Long Entry: buy_signal (fast EMA crosses above slow EMA, trend_dir = 1), no position (strategy.position_size = 0), cooldown passed (can_trade), and VIX < 20 (can_long). Enters with user-defined contracts.
Short Entry: sell_signal (fast EMA crosses below slow EMA, trend_dir = -1), no position, cooldown passed, can_short (always true).
Logic: Tracks last_entry_bar for visuals, last_trade_bar for cooldowns.
Exit Conditions:
Stop-Loss/Take-Profit: ATR-based stops (1.1–1.3x) and TPs (2x stop distance). Longs exit if price hits stop (below) or TP (above); shorts vice versa.
No Other Exits: Keeps it straightforward, relying on stops/TPs.
5. DAFE Visuals
The visuals are pure DAFE magic, blending clean function with informative metrics utilized by professionals, now enhanced by faster signals and a responsive breadth background:
EMA Plots:
Display: Fast EMA (blue, 2px), slow EMA (orange, 2px), using faster lengths (5–9/12–18).
Purpose: Highlights momentum shifts, with crossovers signaling entries.
Sector Breadth Background:
Display: Green (90% transparent) if breadth > 4, red (90%) if breadth < -4, else neutral.
Purpose: Faster breadth_sma_len (5–12 vs. 10–50) reflects sector shifts in real-time, reinforcing signal strength.
- Visuals are intuitive, turning complex signals into clear buy/sell cues.
- Faster breadth background reacts to market rotations (e.g., tech vs. energy), giving a pro-level edge.
6. Sector Breadth Dashboard
The new bottom-left dashboard is a game-changer, a 3x16 table (black/gray theme) that’s your market command center:
Metrics:
VIX: Current VIX (red if > 20, gray if not).
SPX: Trend as “UP” (green), “DOWN” (red), or “FLAT” (gray).
Trade Longs: “OK” (green) if VIX < 20, “BLOCK” (red) if not.
Sector Breadth: 10 sectors (Tech, Financial, etc.) with trend arrows (↑ green, ↓ red, - gray).
Placeholder Row: Empty for future metrics (e.g., ATR, breadth score).
Purpose: Consolidates regime, volatility, market trend, and sector data, making decisions a breeze.
- VIX and SPX metrics add context, helping beginners avoid bad trades (e.g., no longs if “BLOCK”).
Sector arrows show market health at a glance, like a cheat code for sentiment.
Key Features
Beginner-Ready: Preset modes and clear visuals make futures trading a breeze.
Sentiment-Driven: VIX filter, SPX trend, and sector breadth keep you in sync with the market.
High-Frequency: Faster EMAs, tighter stops, and short cooldowns boost trade volume.
Safe and Smart: Adaptive stops/TPs and cooldowns protect capital while maximizing wins.
Visual Mastery: DAFE’s clean flair, EMAs, dashboard—makes trading fun and clear.
Backtestable: Lean code and fixed qty ensure accurate historical testing.
How to Use
Add to Chart: Load on a 5min MNQ/ES chart in TradingView.
Pick Preset: Aggressive (scalping), Balanced (versatile), or Conservative (safe). Balanced is default.
Set Contracts: Default 1, max 10. Stick low for safety.
Check Dashboard: Bottom-left shows preset, VIX, SPX, and sectors. “OK” + green breadth = strong buy.
Backtest: Run in strategy tester to compare modes.
Live Trade: Connect to Tradovate or similar. Watch for slippage (e.g., April 27, 2025 ES issues).
Replay Test: Try April 28, 2025 NQ drop to see VIX filter and stops in action.
Why It’s Brilliant
The Dskyz (DAFE) Quantum Sentiment Flux - Beginners is a masterpiece of simplicity and power. It takes pro-level tools—momentum, VIX, sector breadth—and wraps them in a system anyone can run. Faster signals and tighter stops make it a trading machine, while the VIX filter and dashboard keep you ahead of market chaos. The DAFE visuals and bottom-left command center turn your chart into a futuristic cockpit, guiding you through every trade. For beginners, it’s a safe entry to futures; for pros, it’s a scalping beast with sentiment smarts. This strat doesn’t just trade—it transforms how you see the market.
Final Notes
This is more than a strategy—it’s your launchpad to mastering futures with Dskyz (DAFE) flair. The Quantum Sentiment Flux blends accessibility, speed, and market savvy to help you outsmart the game. Load it, watch those triangles glow, and let’s make the markets your canvas!
Official Statement from Pine Script Team
(see TradingView help docs and forums):
"This warning may appear when you call functions such as ta.sma inside a request.security in a loop. There is no runtime impact. If you need to loop through a dynamic list of tickers, this cannot be avoided in the present version... Values will still be correct. Ignore this warning in such contexts."
(This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.)
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
Created by Dskyz, powered by DAFE Trading Systems. Trade fast, trade bold.
WREKS Theory📊 WREKS Theory – Advanced Market Structure & Auto-Fibonacci Indicator
By WREKS Trading Community
📊 WREKS Theory – Advanced Market Structure & Auto-Fibonacci Indicator
By WREKS Trading Community
✅ Overview
The WREKS Theory indicator is a robust, all-in-one technical analysis tool designed to identify trend direction, generate buy/sell signals, and project key Fibonacci levels for precision trading. It merges the logic of Dow Theory (Higher Highs & Higher Lows), SMA filtering, and automated Fibonacci clusters based on ZigZag pivots to highlight optimal price zones for entry, reversal, and take-profit.
🧠 Built-in Logic
Dow Theory Engine: Detects confirmed uptrends and downtrends based on recent pivot highs and lows.
SMA-144 Filter: Confirms signal strength by filtering trades aligned with the dominant trend.
ZigZag-based Auto-Fibonacci: Dynamically maps Fibonacci retracement and extension levels from the most recent swing, with color-coded visual lines and labels.
Signal Dashboard: Displays trend change counts (Uptrends / Downtrends) and real-time status in a clean table on the chart.
Smart Alerts: Triggers when buy/sell signals occur or when price crosses Fibonacci levels.
📌 Key Features
🔺 Buy / Sell Markers: Auto-labeled on the chart using real-time trend shift confirmation.
📈 Fibonacci Cluster Map: Automatically draws up to 22 customizable Fib levels including negative retracements and advanced extensions (0.236 to 4.618+).
🎯 Trend Labels: Clearly marks “Uptrend” and “Downtrend” zones.
💡 Visual Table: Quick reference for signal frequency and trend transitions.
🔔 Alerts: Built-in alerts for trade signals and price interactions with Fib levels.
⚙️ Fully Customizable: Modify SMA, pivot length, depth, deviation multiplier, line extension style, color themes, and more.
📈 Benefits for Traders
✅ Enhanced Trend Confirmation using Dow Theory logic with SMA filtering.
✅ Precision Entry & Exit Zones through auto-drawn Fibonacci retracement and extension levels.
✅ Reduces False Signals by requiring both market structure and trend alignment.
✅ Saves Time with automated drawing and real-time alerts.
✅ Ideal for All Assets & Timeframes: Works seamlessly across Forex, Crypto, Stocks, and Commodities.
💼 Best Use Cases
Intraday & swing trading using market structure.
Identifying major retracement zones for pullback entries.
Recognizing Fibonacci confluence zones to set stop-loss and take-profit levels.
Trend-following strategies validated by SMA and Dow confirmation.
RTB - Momentum Breakout Strategy V3
📈 RTB - Momentum Breakout Strategy V3 is a directional breakout strategy based on momentum. It combines exponential moving averages (EMAs), RSI, and recent support/resistance levels to detect breakout entries with trend confirmation. The system includes dynamic risk management using ATR-based stop-loss and trailing stop levels. Webhook alerts are supported for external automated trading integrations.
🔎 The strategy was backtested using default parameters on BTCUSDT Futures (Bybit) with 4-hour timeframe and a 0.05% commission per trade.
⚠️ This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
Smart Adaptive MACDAn advanced MACD variant that dynamically adapts to market volatility using ATR-based scaling.
Key Features:
Volatility-sensitive MACD and Signal lengths
Optional smoothed MACD line
Dynamic histogram heatmap (strong vs. weak momentum)
Built-in Regular and Hidden Divergence detection
Clear visual signals via solid (regular) and dashed (hidden) divergence lines
What makes this different:
Unlike traditional MACD indicators with fixed-length settings, this version adapts in real time
to changing volatility conditions. It shortens during high-momentum environments for faster
reaction, and lengthens during low-volatility phases to reduce noise. This allows better
alignment with market behavior and cleaner momentum signals.
Divergence Detection – How It Works
The Smart Adaptive MACD detects both regular and hidden divergences by comparing price action with the smoothed MACD line. It uses recent pivot highs and lows to evaluate divergence and draws lines on the chart when conditions are met.
Regular Divergence Detection
This type of divergence signals potential reversals. It occurs when the price moves in one
direction while the MACD moves in the opposite.
Bullish Regular Divergence:
Price makes lower lows, but MACD makes higher lows.
Result: A solid green line is plotted beneath the MACD curve.
Bearish Regular Divergence:
Price makes higher highs, but MACD makes lower highs.
Result: A solid red line is plotted above the MACD curve.
Hidden Divergence Detection
This type of divergence signals trend continuation. It occurs when price pulls back slightly,
but the MACD shows deeper movement in the opposite direction.
Bullish Hidden Divergence:
Price makes higher lows, but MACD makes lower lows.
Result: A dashed green line is plotted below the MACD curve.
Bearish Hidden Divergence:
Price makes lower highs, but MACD makes higher highs.
Result: A dashed red line is plotted above the MACD curve.
How to Use:
This tool is best used alongside price structure, key support/resistance levels, or as a
secondary confirmation for your trend or reversal strategy. It is designed to enhance your
interpretation of market momentum and divergence without needing extra chart clutter.
Disclaimer:
This script is provided for educational and informational purposes only. It is not intended as
financial advice or a recommendation to buy or sell any asset. Always conduct your own
research and consult with a licensed financial advisor before making trading decisions. Use
at your own risk.
License:
This script is published under the Mozilla Public License 2.0 and is fully open-source.
Built by AresIQ | 2025
MTF Analysis Panel [Invesmate]MTF Analysis Panel
This indicator provides a compact Multi-Timeframe (MTF) view of trend and momentum conditions directly on the chart. It combines EMA trend checks, RSI momentum checks, and optional Relative Strength analysis to offer an intuitive overview of market structure across intraday, daily, weekly, and monthly timeframes.
Trend and Momentum Analysis
The script uses two primary methods for assessing the market:
Trend Detection: Based on price relation to a user-selected EMA for each timeframe.
Momentum Detection: Based on whether RSI is above or below 50 for each timeframe.
Users can independently toggle these modules through inputs to customize the panel for different analysis needs.
Trend and momentum are calculated separately to avoid bias, helping traders capture the real state of the market across multiple timeframes.
Relative Strength (Optional)
If enabled, when either Weekly or Monthly timeframes are selected, the panel will display Relative Strength (RS ) data.
RS measures the stock's performance relative to a benchmark symbol (like NSE:NIFTY).
This value shows the percent outperformance or underperformance over a user-defined period (default 55 days), allowing deeper market strength analysis.
Table and Display Logic
The indicator draws a neat panel on the chart using TradingView’s table functionality.
Each selected timeframe (15m, 1h, 4h, 1D, 1W, 1M) will display:
Trend (EMA): Green for bullish trend (Price > EMA), Red for bearish trend (Price < EMA), Gray if neutral or not applicable.
Momentum (RSI): Green if RSI > 50, Red if RSI < 50, Gray if neutral.
Symbols for trend and momentum can be customized between:
Emoji mode (e.g., 🟢, 🔴, 🟦, 🟥)
Text mode (e.g., UP, DOWN, NEUTRAL)
The panel is customizable for position (Top Left, Top Right, Bottom Left, Bottom Right) to fit user preference.
Color Codes
Strong Bullish: All selected timeframes are trending up and momentum is rising — shown with a light green background.
Strong Bearish: All selected timeframes are trending down and momentum is falling — shown with a light red background.
Mixed: Any mixed state (some up, some down) — shown with a neutral gray background.
This helps traders instantly recognize overall market sentiment without manually checking individual timeframes.
Summary Labels
At the bottom of the panel, two powerful summaries are displayed:
Trend Summary: Overall trend aggregation across selected timeframes ("STRONG BULLISH", "STRONG BEARISH", or "MIXED").
Momentum Summary: Overall momentum aggregation ("MOMENTUM UP", "MOMENTUM DOWN", or "MOMENTUM MIXED").
When Relative Strength is available (Weekly or Monthly enabled), it is also shown separately at the bottom, providing a complete strength-versus-benchmark view.
Input Controls
Enable EMA Trend Check: Toggle EMA-based trend detection.
Enable RSI Momentum Check: Toggle RSI-based momentum detection.
Timeframes to Display: 15m, 1h, 4h, 1D, 1W, 1M can be independently turned on or off.
EMA Length per Timeframe: Customize EMA lengths for different timeframes.
RSI Length: Set RSI calculation period.
Comparative Symbol: Select the benchmark symbol for Relative Strength calculations.
RS Period: Choose the lookback period for Relative Strength.
Emoji Display Toggle: Switch between emoji-based or text-based display styles.
Table Location: Choose where the analysis panel appears on the chart.
Special Features
Realtime Updating: The panel updates dynamically as bars close, maintaining real-time relevance.
Maximum Label Control : Designed to respect TradingView's maximum label limits to avoid runtime errors.
Optimized for Performance: Uses conditional requests and security calls efficiently, minimizing script execution load.
Known Limitations
Request.security limitations: Relative Strength is only calculated on Daily data for stability; lower timeframe RS is not implemented.
TradingView Table Size: On some screen sizes or with many timeframes selected, table may overlap candles. Adjust panel location accordingly.
2 MA + Strat Candle ColorsThe "2 MA + Strat Candle Colors" indicator combines two customizable moving averages (MAs) with a strategic candle-coloring system to help traders analyze trends and price action. Here’s a breakdown of its features:
1. Two Moving Averages (MAs):
MA 1 & MA 2 Settings:
Users can select between 7 MA types for each line: SMA, EMA, WMA, HMA, VWMA, LSMA, SMMA.
Adjustable periods and price sources (e.g., close, open) for both MAs.
Default settings: MA 1 = 9-period EMA, MA 2 = 20-period EMA.
Plotting:
MA 1 is blue, MA 2 is red (colors customizable via inputs).
Crossovers between the MAs can signal trend changes.
2. Strategic Candle Coloring:
Candles are colored based on their relationship to the previous candle:
Green (Bullish): "Two-Up Bar" – current high > prior high, and low does not break prior low.
Red (Bearish): "Two-Down Bar" – current low < prior low, and high does not break prior high.
Purple (Outside Bar): "Three Bar" – current candle engulfs the prior candle (higher high and lower low).
Yellow (Inside Bar): "One Bar" – current candle is contained within the prior candle’s range.
Candle coloring is based on:
Long Bar With ATR Multi Timframe | Amoo HassanLong Bar with ATR Multi Timeframe | Amoo Hassan
Looking for a smarter way to spot powerful moves in the market?
Long Bar with ATR Multi Timeframe is built exactly for that!
This tool helps you catch strong trend breakouts and potential reversals — in a simple, clear, and effective way.
What This Script Does:
Detects Long Bars: It looks for candles with a larger body compared to recent averages and confirms them with ATR (Average True Range). Only truly significant moves are highlighted.
Trend Filtering: Uses fast and slow moving averages (60 EMA, 34 EMA, and 200 SMA) to check if the overall market trend supports your trade.
Multi-Timeframe Supertrend: Supertrend signals are combined across different timeframes to give extra confirmation and reduce false signals.
Sharp Peaks and Valleys: Special candlestick patterns like sharp tops and bottoms are detected automatically.
Smart Trading Sessions: Trades are filtered based on the most active trading hours, avoiding dead times when price action is messy.
Important Date Control: On days with historically strange price action (like the 13th and 20th), the script stays cautious by disabling trades.
Clear Buy and Sell Labels: When all conditions are aligned, you'll see clean and clear "BUY" or "SELL" signals right on your chart.
Why You'll Like It:
It's easy to use, even if you're not a technical analysis expert.
It helps you avoid bad trades and focus on quality setups.
It fits into your existing trading system — or it can work as a standalone entry tool.
Friendly Reminder:
No indicator is 100% perfect! Always combine signals with good risk management and your own judgment.
And remember: Past results don't guarantee future performance.
Best Timeframes:
For the best results, we recommend using this script on 5-minute and 1-minute timeframes.
[blackcat] L3 Dynamic CrossOVERVIEW
The L3 Dynamic Cross indicator is a powerful tool designed to assist traders in identifying potential buy and sell opportunities through the use of dynamic moving averages. This versatile script offers a wide range of customizable options, allowing users to tailor the moving averages to their specific needs and preferences. By providing clear visual cues and generating precise crossover signals, it helps traders make informed decisions about market trends and potential entry/exit points 📈💹.
FEATURES
Multiple Moving Average Types:
Simple Moving Average (SMA): Provides a straightforward average of prices over a specified period.
Exponential Moving Average (EMA): Gives more weight to recent prices, making it responsive to new information.
Weighted Moving Average (WMA): Assigns weights to all prices within the look-back period, giving more importance to recent prices.
Volume Weighted Moving Average (VWMA): Incorporates volume data to provide a more accurate representation of price movements.
Smoothed Moving Average (SMMA): Averages out fluctuations to create a smoother trend line.
Double Exponential Moving Average (DEMA): Reduces lag by applying two layers of exponential smoothing.
Triple Exponential Moving Average (TEMA): Further reduces lag with three layers of exponential smoothing.
Hull Moving Average (HullMA): Combines weighted moving averages to minimize lag and noise.
Super Smoother Moving Average (SSMA): Uses a sophisticated algorithm to smooth out price data while preserving trend direction.
Zero-Lag Exponential Moving Average (ZEMA): Eliminates lag entirely by adjusting the calculation method.
Triangular Moving Average (TMA): Applies a double smoothing process to reduce volatility and enhance trend identification.
Customizable Parameters:
Length: Adjust the period for both fast and slow moving averages to match your trading style.
Source: Select different price sources such as close, open, high, or low for more nuanced analysis.
Visual Representation:
Fast MA: Displayed as a green line representing shorter-term trends.
Slow MA: Shown as a red line indicating longer-term trends.
Crossover Signals:
Generate buy ('BUY') and sell ('SELL') labels based on crossover events between the fast and slow moving averages 🏷️.
Clear visual cues help traders quickly identify potential entry and exit points.
Alert Functionality:
Receive real-time notifications when crossover conditions are met, ensuring timely action 🔔.
Customizable alert messages for personalized trading strategies.
Advanced Trade Management:
Support for pyramiding levels allows traders to manage multiple positions effectively.
Fine-tune your risk management by setting the number of allowed trades per signal.
HOW TO USE
Adding the Indicator:
Open your TradingView chart and go to the indicators list.
Search for L3 Dynamic Cross and add it to your chart.
Configuring Settings:
Choose your desired Moving Average Type from the dropdown menu.
Adjust the Fast MA Length and Slow MA Length according to your trading timeframe.
Select appropriate Price Sources for both fast and slow moving averages.
Monitoring Signals:
Observe the plotted lines on the chart to track short-term and long-term trends.
Look for buy and sell labels that indicate potential trade opportunities.
Setting Up Alerts:
Enable alerts based on crossover conditions to receive instant notifications.
Customize alert messages to suit your trading plan.
Managing Positions:
Utilize the pyramiding feature to handle multiple entries and exits efficiently.
Keep track of your position sizes relative to the defined pyramiding levels.
Combining with Other Tools:
Integrate this indicator with other technical analysis tools for confirmation.
Use additional filters like volume, RSI, or MACD to enhance decision-making accuracy.
LIMITATIONS
Market Conditions: The effectiveness of the indicator may vary in highly volatile or sideways markets. Be cautious during periods of low liquidity or sudden price spikes 🌪️.
Parameter Sensitivity: Different moving average types and lengths can produce varying results. Experiment with settings to find what works best for your asset class and timeframe.
False Signals: Like any technical indicator, false signals can occur. Always confirm signals with other forms of analysis before executing trades.
NOTES
Historical Data: Ensure you have enough historical data loaded into your chart for accurate moving average calculations.
Backtesting: Thoroughly backtest the indicator on various assets and timeframes using demo accounts before deploying it in live trading environments 🔍.
Customization: Feel free to adjust colors, line widths, and label styles to better fit your chart aesthetics and personal preferences.
EXAMPLE STRATEGIES
Trend Following: Use the indicator to ride trends by entering positions when the fast MA crosses above/below the slow MA and exiting when the opposite occurs.
Mean Reversion: Identify overbought/oversold conditions by combining the indicator with oscillators like RSI or Stochastic. Enter counter-trend positions when the moving averages diverge significantly from the mean.
Scalping: Apply tight moving average settings to capture small, quick profits in intraday trading. Combine with volume indicators to filter out weak signals.
[blackcat] L2 EMA NexusOVERVIEW
The L2 EMA Nexus is a comprehensive trading indicator that utilizes a three-tiered Exponential Moving Average (EMA) system to identify potential trading opportunities. This script combines technical analysis with robust risk management features to help traders make informed decisions.
KEY FEATURES
• Triple EMA Analysis:
Customizable source inputs for each EMA
Adjustable length parameters (3, 8, 21 periods)
Dynamic color coding based on trend direction
Real-time price action monitoring
• Advanced Entry Signals:
High-low price action verification
EMA cross-overs and cross-unders
Multi-timeframe trend confirmation
Dynamic position sizing limits
• Risk Management:
Configurable Take Profit levels
Flexible Stop Loss settings
Optional TP/SL activation
Clear visual indicators for levels
HOW TO USE
Setup Initial Parameters:
Configure EMA lengths for your timeframe
Set Take Profit percentage (default 25%)
Define Stop Loss percentage (default 2.5%)
Adjust pyramiding limit as needed
Enable/Disable Features:
Toggle TP/SL settings based on strategy
Customize alert conditions
Modify visual labels for clarity
Monitor Trading Signals:
Watch for buy/sell labels
Track TP/SL levels
Monitor position status
TRADE MANAGEMENT
• Entry Conditions:
Long Entry: Higher high with rising EMA1 and stable EMA3
Short Entry: Lower low with falling EMA1 and stable EMA2
• Exit Conditions:
Take Profit: Price reaches defined percentage above/below entry
Stop Loss: Price reaches defined percentage below/above entry
• Position Control:
Limited to specified number of positions
Automatic position tracking
Clear visual indication of current trades
TECHNICAL DETAILS
• EMA Calculation:
Uses Exponential Moving Average for trend following
Color-coded based on 2-bar trend direction
Multiple timeframe compatibility
• Label System:
Clear buy/sell markers
Take Profit and Stop Loss indicators
Real-time position status updates
• Alert Configuration:
Customizable alert messages
Multiple alert conditions
Option to enable/disable specific alerts
LIMITATIONS
⚠️ Important Considerations:
Results may vary across different market conditions
Historical performance does not guarantee future results
Always backtest strategy before live trading
Consider complementing with additional analysis tools
BEST PRACTICES
• Recommended Timeframes:
Daily charts for long-term strategies
4-hour charts for swing trading
1-hour charts for short-term trading
• Risk Management Tips:
Start with small position sizes
Always use TP/SL in live trading
Monitor market volatility before entering trades
TROUBLESHOOTING
• Common Issues:
Ensure proper chart resolution
Verify alert conditions are enabled
Check for conflicting indicators
• Performance Optimization:
Use appropriate timeframe for your strategy
Adjust indicator parameters based on market conditions
Monitor for potential overfitting
[blackcat] L1 Dynamic EdgeOVERVIEW
📈 The L1 Dynamic Edge is a sophisticated trend-following indicator designed to empower traders with a comprehensive view of market dynamics and precise buy/sell signals. By leveraging multiple Exponential Moving Averages (EMAs) and advanced signal processing, this indicator aims to capture the essence of price momentum and provide actionable insights across various financial instruments and timeframes.
🔑 Key Features:
Fully customizable EMA settings
Multi-dimensional trend analysis using high, low, and midpoint EMAs
Intuitive color-coded trend visualization
Accurate buy/sell signals with visual confirmation
Flexible alert system for real-time notifications
Seamless integration with TradingView's charting tools
FEATURES
📉 Advanced Trend Detection:
Utilizes three distinct EMAs (high, low, and midpoint) for a holistic view of market trends
Employs sophisticated logic to determine rising and falling trends
🌟 Dynamic Visualization:
Automatically adjusts the color of EMA plots based on detected trend direction
Fills the area between high and low EMAs for enhanced visual clarity
📈 Precision Signal Generation:
Identifies potential trend reversals using a combination of price action and EMA behavior
Generates clear buy/sell signals based on trend changes
📊 Comprehensive Chart Integration:
Displays buy/sell signals as easily identifiable shapes on the chart
Adds descriptive labels to signal bars for quick reference
🔔 Customizable Alert System:
Provides alert conditions for both buy and sell signals
Allows users to stay informed about potential trading opportunities even when away from the chart
🛠️ User-Friendly Interface:
Simple input parameters for easy customization
Clean and uncluttered chart appearance without overwhelming the user
🌐 Versatile Application:
Adaptable to various financial instruments, including stocks, forex, commodities, and cryptocurrencies
Effective across different timeframes, from short-term scalping to long-term investing
HOW TO USE
✨ Adding the Indicator:
Open your TradingView chart
Click on "Add Indicator" at the top of the screen
Search for " L1 Dynamic Edge" and add it to your chart
🔧 Customizing Settings:
Adjust the EMA length in the input panel to suit your trading style and preferences
Experiment with different values to find what works best for your specific strategy
🕵️♂️ Analyzing Trends:
Observe the color of the EMA bands to quickly assess the overall market sentiment
Note how the filling between the high and low EMAs responds to price movements
📈 Identifying Opportunities:
Watch for buy/sell signals indicated by triangles and labels on the chart
Consider these signals as potential entry/exit points for your trades
🎯 Implementing Strategies:
Combine the indicator's signals with your own analysis and risk management techniques
Use the provided alerts to stay informed about new trading opportunities
🚨 Setting Up Alerts:
Configure alert conditions for buy and sell signals
Choose your preferred notification method (email, SMS, push notifications, etc. )
📊 Fine-Tuning Your Approach:
Regularly review and analyze the indicator's performance
Adjust the EMA length and other parameters as needed to adapt to changing market conditions
LIMITATIONS
Like any technical indicator, the L1 Dynamic Edge should not be used as a standalone trading system
Its effectiveness may be limited during periods of extreme volatility or in highly ranging markets
The indicator's performance will vary depending on the specific instrument and timeframe being analyzed
New traders might need some time to fully understand and effectively utilize all features of the indicator
NOTES
This script utilizes Pine Script version 5 for optimal performance and compatibility with TradingView's latest features
The default EMA length is set to 3, which provides a balance between responsiveness and noise reduction
The indicator's color scheme has been carefully chosen to ensure maximum visibility while maintaining a clean chart appearance
For best results, consider combining this indicator with other forms of technical and fundamental analysis
Regular backtesting and forward testing are crucial to optimize the indicator's settings for your specific trading style and market conditions
THANKS
We extend our deepest gratitude to the vibrant TradingView community for their invaluable feedback, suggestions, and support throughout the development process of the L1 Dynamic Edge indicator. Special thanks to all the dedicated traders who took the time to test and refine this tool, helping us create a more robust and user-friendly experience for everyone.
Swing Trade TarayıcıSwing Trade Scanner (v6) User Guide
1. Purpose:
This TradingView indicator (written in Pine Script v6) is designed to help identify swing trading opportunities. It calculates an overall trend strength and direction score by combining multiple technical analyses for up to 20 financial assets (stocks, cryptocurrencies, forex, etc.) that you specify. It presents the results in a customizable table, allowing you to quickly scan the market.
2. Analyses Used and Their Roles:
By default, the indicator uses the following 4 main technical analyses:
EMA Crossover (Default: 9/21): Used to capture short-term trend direction and potential momentum shifts. When the fast EMA (9) crosses above the slow EMA (21), it's considered a bullish signal; when it crosses below, it's a bearish signal. It's often one of the main entry/exit triggers.
RSI (Relative Strength Index - Default: 14): Measures the speed of price movements to identify overbought (OB) and oversold (OS) conditions. Reversals from the OB zone can signal potential downturns, while reversals from the OS zone can signal potential upturns. It also provides insight into the strength of the momentum.
MACD (Moving Average Convergence Divergence - Default: 12, 26, 9): A trend-following momentum indicator. The relationship between the MACD line and the signal line (crossovers) and the state of the histogram (position relative to the zero line) are used to confirm momentum shifts and trend strength.
ADX/DI (Average Directional Index - Default: 14, 14): Measures the strength (ADX) and direction (+DI/-DI lines) of a trend. Its main role is to filter signals from other indicators. A trend is considered to exist if the ADX is above a certain threshold (e.g., 25). +DI above -DI indicates an uptrend, and the reverse indicates a downtrend.
3. Scoring System:
The indicator calculates an individual score for each analysis and then combines these scores using weights you define to create a final Trend Score:
Individual Scores: Each analysis (EMA, RSI, MACD, ADX/DI) generates a decimal score between -1.0 (Strong Negative/Bearish) and +1.0 (Strong Positive/Bullish) based on its own rules. For example, RSI might score +1.0 if oversold, -1.0 if overbought, and 0.0 if neutral. MACD and ADX/DI scores can also take intermediate values reflecting both direction and strength (e.g., ±1.0, ±0.6, ±0.3, 0.0).
Weighting: In the settings, you can assign a weight (between 0.0 and 1.0) to each analysis, determining how much it influences the final score. For instance, you might give EMA crossover a higher weight and use RSI with a lower weight.
Total Score: The individual scores of the active analyses are multiplied by their assigned weights and summed up. This total is then divided by the sum of the weights of the active analyses to obtain a final, normalized Trend Score between -1.0 and +1.0. This score represents the combined view of all analyses.
4. Trend Determination:
The calculated final Trend Score is classified into an overall TREND status based on threshold values you set in the settings:
S.UP (Strong Up): Score > Strong Up Threshold (Default: 0.70)
UP: Up Threshold < Score <= Strong Up Threshold (Default: 0.35 < Score <= 0.70)
NEUTRAL: Down Threshold <= Score <= Up Threshold (Default: -0.35 <= Score <= 0.35)
DOWN: Strong Down Threshold <= Score < Down Threshold (Default: -0.70 <= Score < -0.35)
S.DOWN (Strong Down): Score < Strong Down Threshold (Default: -0.70)
This classification allows you to see at a glance which assets have strong trend potential.
5. Table Structure and Meanings:
The indicator displays the results in a table with the following columns:
TICKER: The symbol of the analyzed asset (abbreviated).
TREND: The overall trend status determined by the total score (S.UP, UP, NEUTRAL, DOWN, S.DOWN). The background color of this column also reflects this overall trend (Dark Green, Green, Gray, Red, Dark Red).
SCORE: The calculated weighted total score (between -1.00 and +1.00, with two decimal places). The background color of this column also reflects the overall trend.
EMA: Shows the result of only the EMA 9/21 analysis.
▲: EMA(9) > EMA(21) (Green Background)
▼: EMA(9) < EMA(21) (Red Background)
N: Neutral (Gray Background)
-: Analysis disabled or no data (Pale Gray Background)
RSI: Shows the result of only the RSI analysis.
OS: Oversold (RSI < 30) (Green Background)
M+: Mid Positive (30 <= RSI < 45) (Light Green/Lime Background)
N: Neutral (45 <= RSI <= 55) (Gray Background)
M-: Mid Negative (55 < RSI <= 70) (Orange Background)
OB: Overbought (RSI > 70) (Red Background)
-: Analysis disabled or no data (Pale Gray Background)
MACD: Shows the result of only the MACD analysis.
S+: Strong Positive (MACD > Signal AND Histogram > 0) (Green Background)
M+: Mid Positive (MACD > Signal BUT Histogram < 0) (Light Green/Lime Background)
N: Neutral (Other cases) (Gray Background)
M-: Mid Negative (MACD < Signal BUT Histogram > 0) (Orange Background)
S-: Strong Negative (MACD < Signal AND Histogram < 0) (Red Background)
-: Analysis disabled or no data (Pale Gray Background)
ADX/DI: Shows the result of only the ADX/DI analysis.
S+: Strong Uptrend (ADX > 40 AND +DI > -DI) (Green Background)
M+: Mid Uptrend (25 < ADX <= 40 AND +DI > -DI) (Light Green/Lime Background)
W: Weak Trend (ADX <= 25) (Gray Background)
M-: Mid Downtrend (25 < ADX <= 40 AND -DI > +DI) (Orange Background)
S-: Strong Downtrend (ADX > 40 AND -DI > +DI) (Red Background)
-: Analysis disabled or no data (Pale Gray Background)
6. Settings (Inputs):
You can customize the indicator's behavior using the following settings:
General Settings:
Analysis Timeframe: Select the timeframe for the scans (Leave blank to use the chart timeframe).
Auto Adjust Parameters and Weights: If checked, predefined parameters and weights based on the selected timeframe (1h, 4h, 1D, 1W) are used. If unchecked, or if an unsupported timeframe is selected, the manual settings below apply.
Strong/Normal Up/Down Thresholds: Adjust the score thresholds used to determine the TREND column.
Analysis Settings (Separate Group for Each Analysis):
Enable ... Analysis: Check to include the respective analysis in the score.
... Weight (Manual): If auto-adjust is off, set the weight of this analysis in the total score.
... Period/Level (Manual): If auto-adjust is off, adjust the parameters (period, level, etc.) of the respective indicator.
Symbols (1-10):
Checkbox: Check to include the respective symbol in the scan.
Text Box: Enter the symbol of the asset you want to analyze (e.g., "NASDAQ:AAPL", "BINANCE:BTCUSDT").
Table Settings:
Table Position: Choose where the table appears on the chart.
Cell Width: Adjust the width of the table cells.
Text Size: Select the general size of the text in the table (individual analysis columns are usually shown one size smaller).
7. How to Use:
Add the indicator to your TradingView chart.
Enter the indicator settings.
In the Symbols section, enter the symbols of the assets you want to analyze and check the boxes next to them.
In the General Settings section, select your desired Analysis Timeframe.
Decide whether the Auto Adjust Parameters and Weights option should be checked. If not, adjust the manual parameters and weights for each indicator in the Analysis Settings section according to your strategy.
Examine the table:
The TREND and SCORE columns give you a general overview. Focus on strong signals (S.UP, S.DOWN) or states that have just crossed thresholds (UP, DOWN).
The EMA, RSI, MACD, ADX/DI columns allow you to see in detail which analyses influenced the overall score. You can track confirming or conflicting signals here.
Combine these scan results with other rules of your swing trading strategy (support/resistance, patterns, risk management, etc.) to make trading decisions.
8. Important Notes:
This indicator does not constitute financial advice. It is merely a tool that combines technical analysis tools to help you scan the market.
The default parameters and weights in the indicator settings are for general use. For best results, it is strongly recommended that you optimize these settings by backtesting them on historical data according to your own strategy, the assets you trade, and market conditions.
No technical indicator or system generates 100% accurate signals. Always apply risk management principles and do not trade with money you cannot afford to lose.
I hope this guide helps you use the indicator effectively!
Anchored Moving Average by TradeSeekersThis script plots an SMA that resets based on the selected anchored timeframe, by default it is 1D.
There exists some other AMA scripts but I didn't find anything that plotted the non-anchored MA alongside the AMA and displayed the point of convergence.
The non-anchored MA presents slightly opaque as a circle plot until the anchored MA converges.
Until the anchored MA contains enough data an simple average is calculated of all source prices collected starting from the anchor.
For example, if the timeframe has reset and source is set to closing prices, then after the first bar the AMA is essentially the last closing price. After two bars have closed then the AMA is an average of the last two closing prices.
Future updates may add additional average types as time permits.
Moving Average ToolkitMoving Average Toolkit - Advanced MA Analysis with Flexible Source Input
A powerful and versatile moving average indicator designed for maximum flexibility. Its unique source input feature allows you to analyze moving averages of ANY indicator or price data, making it perfect for creating custom combinations with RSI, Volume, OBV, or any other technical indicator.
Key Features:
• Universal Source Input:
- Analyze moving averages of any data: Price, Volume, RSI, MACD, Custom Indicators
- Perfect for creating advanced technical setups
- Identify trends in any technical data
• 13 Moving Average Types:
- Traditional: SMA, EMA, WMA, RMA, VWMA
- Advanced: HMA, T3, DEMA, TEMA, KAMA, ZLEMA, McGinley, EPMA
• Dual MA System:
- Compare two different moving averages
- Independent settings for each MA
- Perfect for multiple timeframe analysis
• Visual Offset Analysis:
- Dynamic color changes based on momentum
- Fill between current and offset values
- Clear visualization of trend strength
Usage Examples:
• Price Trend: Traditional MA analysis using price data
• Volume Trend: Apply MA to volume for volume trend analysis
• RSI Trend: Smooth RSI movements for clearer signals
• Custom: Apply to any indicator output for unique insights
Settings:
• Fully customizable colors for bull/bear conditions
• Adjustable offset periods
• Independent length settings
• Optional second MA for comparison
Perfect for:
• Advanced technical analysts
• Multi-indicator strategy developers
• Custom indicator creators
• Traders seeking flexible analysis tools
This versatile toolkit goes beyond traditional moving averages by allowing you to apply sophisticated MA analysis to any technical data, creating endless possibilities for custom technical analysis strategies.
BTC Price-Volume Efficiency Z-Score (PVER-Z)Overview:
This PVER-Z Score measures Bitcoin’s price movement efficiency relative to trading volume, normalized using a Z-Score over a long-term 200-day period.
It highlights statistically rare inefficiencies, helping investors spot extreme accumulation and distribution zones for systematic SDCA strategies.
Concept:
- Measures how efficiently price has moved relative to the volume that supported it over a long historical window (Default 200 days) but can be adjustable.
- It compares cumulative price changes vs cumulative volume flow.
- Then normalizes those inefficiencies using Z-Score statistics.
How It Works:
1. Calculates the absolute daily price change divided by volume (price-volume efficiency ratio).
2. Applies EMA smoothing to remove noisy fluctuations.
3. Normalizes the result into a Z-Score to detect statistically significant outliers.
4. Plots dynamic heatmap colors as the efficiency score moves through different deviation zones.
5. Background fills appear when the Z-Score moves beyond ±2 to ±3 SD, signaling rare macro opportunities.
Why is Bitcoin price rising while PVER-Z is falling toward green zone?
1. PVER-Z is not just "price" — it's price change relative to volume. PVER-Z measures how efficient the price movement is relative to volume. It's not "price going up" or "price going down" directly. It's how unusual or inefficient the price versus volume relationship is, compared to its historical average.
2. A rising Bitcoin price + weak efficiency = PVER-Z falls.
If Bitcoin rises but volume is super strong (normal buying volume), no problem, the PVER-Z stays normal. If Bitcoin rises but with very weak volume support, PVER-Z falls.
***Usage Notes***:
- Best used on the daily timeframe or higher.
- When the Z-Score enters the green zone (-2 to -3 SD), it signals a historically rare accumulation zone — favoring long-term buying for SDCA.
- When the Z-Score enters the red zone (+2 to +3 SD), it signals overextended distribution — caution recommended.
- Designed strictly for mean-reversion analysis, no trend-following signals.
- The red zone on a proper Z chart would be -2SD to -3SD and +2SD to +3SD for the green zone. At the time of publishing I do not know how to adjust the values on the indicator itself. The red zone at -2SD is actually +2 Standard Deviations on a Z Score SD Chart. (overbought zone).
- Your green zone at +2SD is actually -2SD Standard Deviations (oversold zone).
- Built manually with no reliance on built-in indicators
- Designed for Bitcoin on the 1D, 3D, or Weekly timeframes. NOT for intraday trading.
- DO NOT SOELY RELY ON THIS INDICATOR FOR YOUR LONG TERM VALUATION. I AM NOT RESPONSIBLE FOR YOUR FINANICAL ASSETS.
Gabriel's Adaptive MA📜 Gabriel's Adaptive MA — Indicator Description
Gabriel's Adaptive Moving Average (GAMA) is a dynamic trend-following indicator that intelligently adjusts its smoothing based on both trend strength and market volatility.
It is designed to provide faster responsiveness during strong moves while maintaining stability during choppy or consolidating periods.
🧠 What it does:
This indicator plots a custom-built, highly dynamic Moving Average that adapts itself intelligently based on:
Trend Strength (via Perry Kaufman's Efficiency Ratio)
Market Volatility (via Tushar Chande's Volatility Ratio)
It reacts faster when the market is trending strongly and/or highly volatile,
and it smooths out and slows down when the market is choppy or calm.
🔍 How it works (step-by-step):
1. User Inputs:
length: (default 14)
How many bars to look back for calculations.
fastSC: Fastest possible smoothing constant (hardcoded as 2 / (2+1))
slowSC: Slowest possible smoothing constant (hardcoded as 2 / (30+1))
(These are used to control how fast/slow the KAMA can react.)
2. Calculate Trendiness — Kaufman Efficiency Ratio (ER):
Net Change = Absolute difference between current close and close from length bars ago.
Sum of Absolute Changes = Sum of absolute price changes between every bar inside the length window.
Efficiency Ratio (ER) = Net Change divided by Sum of Changes.
✅ If ER is close to 1 → Smooth, trending market.
✅ If ER is close to 0 → Choppy, sideways market.
3. Calculate Bumpiness — Volatility Ratio (VR):
Short-Term Volatility = Standard deviation of close over length.
Long-Term Volatility = Standard deviation of close over length * 2.
Volatility Ratio (VR) = Short-Term Volatility divided by Long-Term Volatility.
✅ If VR is >1 → Market is becoming more volatile recently.
✅ If VR is <1 → Market is calming down.
4. Create the Hybrid Alpha:
Multiply ER × VR.
Then square the result (math.pow(..., 2)).
This hybrid alpha decides how aggressive the MA should be based on both trend and volatility.
If ER and VR are both strong → big alpha → fast movement.
If ER and/or VR are weak → small alpha → slow movement.
5. Calculate the Final Adaptive Smoothing Constant (hybridSC):
hybridSC = slowSC + hybridAlpha × (fastSC - slowSC)
This smoothly interpolates between the slowest and fastest smoothing depending on market conditions.
6. Calculate and Plot the Adaptive MA:
The moving average is manually calculated:
hybridMA := na(hybridMA ) ? close : hybridMA + hybridSC * (close - hybridMA )
It behaves like an EMA but with dynamic smoothing, not a fixed alpha.
✅ If hybridSC is high → MA hugs the price closely.
✅ If hybridSC is low → MA stays smooth and resists noise.
Finally, it plots this Adaptive MA on the chart in blue color.
📊 Visual Summary
Market Type What Happens to GAMA
Trending hard + volatile Follows price quickly
Trending hard + calm Follows steadily but carefully
Sideways + volatile Reacts carefully (won't chase noise)
Sideways + calm Smooths heavily (avoids fakeouts)
✨ Main Strengths:
Adapts automatically without you tuning settings manually every time market changes.
Responds smartly to both trend quality (ER) and market energy (VR).
Reduces lag during real moves.
Filters out false signals during choppy mess.
🧪 Key Innovation compared to normal MAs:
Traditional MA Gabriel's Adaptive MA
Same smoothing every bar Dynamic smoothing every bar
Slow during fast moves Adapts fast during real moves
No understanding of volatility or trendiness Full market sensitivity
⚡ **Simple One-Line Description:**
"Gabriel's Adaptive MA is a dynamic, trend-and-volatility-sensitive moving average that intelligently adjusts its speed to match market conditions."
Cointegration Buy and Sell Signals [EdgeTerminal]The Cointegration Buy And Sell Signals is a sophisticated technical analysis tool to spot high-probability market turning points — before they fully develop on price charts.
Most reversal indicators rely on raw price action, visual patterns, or basic and common indicator logic — which often suffer in noisy or trending markets. In most cases, they lag behind the actual change in trend and provide useless and late signals.
This indicator is rooted in advanced concepts from statistical arbitrage, mean reversion theory, and quantitative finance, and it packages these ideas in a user-friendly visual format that works on any timeframe and asset class.
It does this by analyzing how the short-term and long-term EMAs behave relative to each other — and uses statistical filters like Z-score, correlation, volatility normalization, and stationarity tests to issue highly selective Buy and Sell signals.
This tool provides statistical confirmation of trend exhaustion, allowing you to trade mean-reverting setups. It fades overextended moves and uses signal stacking to reduce false entries. The entire indicator is based on a very interesting mathematically grounded model which I will get into down below.
Here’s how the indicator works at a high level:
EMAs as Anchors: It starts with two Exponential Moving Averages (EMAs) — one short-term and one long-term — to track market direction.
Statistical Spread (Regression Residuals): It performs a rolling linear regression between the short and long EMA. Instead of using the raw difference (short - long), it calculates the regression residual, which better models their natural relationship.
Normalize the Spread: The spread is divided by historical price volatility (ATR) to make it scale-invariant. This ensures the indicator works on low-priced stocks, high-priced indices, and crypto alike.
Z-Score: It computes a Z-score of the normalized spread to measure how “extreme” the current deviation is from its historical average.
Dynamic Thresholds: Unlike most tools that use fixed thresholds (like Z = ±2), this one calculates dynamic thresholds using historical percentiles (e.g., top 10% and bottom 10%) so that it adapts to the asset's current behavior to reduce false signals based on market’s extreme volatility at a certain time.
Z-Score Momentum: It tracks the direction of the Z-score — if Z is extreme but still moving away from zero, it's too early. It waits for reversion to start (Z momentum flips).
Correlation Check: Uses a rolling Pearson correlation to confirm the two EMAs are still statistically related. If they diverge (low correlation), no signal is shown.
Stationarity Filter (ADF-like): Uses the volatility of the regression residual to determine if the spread is stationary (mean-reverting) — a key concept in cointegration and statistical arbitrage. It’s not possible to build an exact ADF filter in Pine Script so we used the next best thing.
Signal Control: Prevents noisy charts and overtrading by ensuring no back-to-back buy or sell signals. Each signal must alternate and respect a cooldown period so you won’t be overwhelmed and won’t get a messy chart.
Important Notes to Remember:
The whole idea behind this indicator is to try to use some stat arb models to detect shifting patterns faster than they appear on common indicators, so in some cases, some assumptions are made based on historic values.
This means that in some cases, the indicator can “jump” into the conclusion too quickly. Although we try to eliminate this by using stationary filters, correlation checks, and Z-score momentum detection, there is still a chance some signals that are generated can be too early, in the stock market, that's the same as being incorrect. So make sure to use this with other indicators to confirm the movement.
How To Use The Indicator:
You can use the indicator as a standalone reversal system, as a filter for overbought and oversold setups, in combination with other trend indicators and as a part of a signal stack with other common indicators for divergence spotting and fade trades.
The indicator produces simple buy and sell signals when all criteria is met. Based on our own testing, we recommend treating these signals as standalone and independent from each other . Meaning that if you take position after a buy signal, don’t wait for a sell signal to appear to exit the trade and vice versa.
This is why we recommend using this indicator with other advanced or even simple indicators as an early confirmation tool.
The Display Table:
The floating diagnostic table in the top-right corner of the chart is a key part of this indicator. It's a live statistical dashboard that helps you understand why a signal is (or isn’t) being triggered, and whether the market conditions are lining up for a potential reversal.
1. Z-Score
What it shows: The current Z-score value of the volatility-normalized spread between the short EMA and the regression line of the long EMA.
Why it matters: Z-score tells you how statistically extreme the current relationship is. A Z-score of:
0 = perfectly average
> +2 = very overbought
< -2 = very oversold
How to use it: Look for Z-score reaching extreme highs or lows (beyond dynamic thresholds). Watch for it to start reversing direction, especially when paired with green table rows (see below)
2. Z-Score Momentum
What it shows: The rate of change (ROC) of the Z-score:
Zmomentum=Zt − Zt − 1
Why it matters: This tells you if the Z-score is still stretching out (e.g., getting more overbought/oversold), or reverting back toward the mean.
How to use it: A positive Z-momentum after a very low Z-score = potential bullish reversal A negative Z-momentum after a very high Z-score = potential bearish reversal. Avoid signals when momentum is still pushing deeper into extremes
3. Correlation
What it shows: The rolling Pearson correlation coefficient between the short EMA and long EMA.
Why it matters: High correlation (closer to +1) means the EMAs are still statistically connected — a key requirement for cointegration or mean reversion to be valid.
How to use it: Look for correlation > 0.7 for reliable signals. If correlation drops below 0.5, ignore the Z-score — the EMAs aren’t moving together anymore
4. Stationary
What it shows: A simplified "Yes" or "No" answer to the question:
“Is the spread statistically stable (stationary) and mean-reverting right now?”
Why it matters: Mean reversion strategies only work when the spread is stationary — that is, when the distance between EMAs behaves like a rubber band, not a drifting cloud.
How to use it: A "Yes" means the indicator sees a consistent, stable spread — good for trading. "No" means the market is too volatile, disjointed, or chaotic for reliable mean reversion. Wait for this to flip to "Yes" before trusting signals
5. Last Signal
What it shows: The last signal issued by the system — either "Buy", "Sell", or "None"
Why it matters: Helps avoid confusion and repeated entries. Signals only alternate — you won’t get another Buy until a Sell happens, and vice versa.
How to use it: If the last signal was a "Buy", and you’re watching for a Sell, don’t act on more bullish signals. Great for systems where you only want one position open at a time
6. Bars Since Signal
What it shows: How many bars (candles) have passed since the last Buy or Sell signal.
Why it matters: Gives you context for how long the current condition has persisted
How to use it: If it says 1 or 2, a signal just happened — avoid jumping in late. If it’s been 10+ bars, a new opportunity might be brewing soon. You can use this to time exits if you want to fade a recent signal manually
Indicator Settings:
Short EMA: Sets the short-term EMA period. The smaller the number, the more reactive and more signals you get.
Long EMA: Sets the slow EMA period. The larger this number is, the smoother baseline, and more reliable trend bases are generated.
Z-Score Lookback: The period or bars used for mean & std deviation of spread between short and long EMAs. Larger values result in smoother signals with fewer false positives.
Volatility Window: This value normalizes the spread by historical volatility. This allows you to prevent scale distortion, showing you a cleaner and better chart.
Correlation Lookback: How many periods or how far back to test correlation between slow and long EMAs. This filters out false positives when EMAs lose alignment.
Hurst Lookback: The multiplier to approximate stationarity. Lower leads to more sensitivity to regime change, higher produces a more stricter filtering.
Z Threshold Percentile: This value sets how extreme Z-score must be to trigger a signal. For example, 90 equals only top/bottom 10% of extremes, 80 = more frequent.
Min Bars Between Signals: This hard stop prevents back-to-back signals. The idea is to avoid over-trading or whipsaws in volatile markets even when Hurst lookback and volatility window values are not enough to filter signals.
Some More Recommendations:
We recommend trying different EMA pairs (10/50, 21/100, 5/20) for different asset behaviors. You can set percentile to 85 or 80 if you want more frequent but looser signals. You can also use the Z-score reversion monitor for powerful confirmation.
LotusThis Pine Script is designed to plot multiple moving averages (SMA and EMA) on the chart, with dynamic color changes based on whether the price is above or below each moving average. The script includes customizable inputs for different SMA and EMA lengths, and each moving average has its own color scheme, which changes depending on the market price's position relative to the moving average.
Features:
Multiple Moving Averages:
SMA (Simple Moving Average) SELL: Configured with a default length of 22. This moving average is used for determining the "SELL" zone, and its color changes based on price action.
SMA (Simple Moving Average) CONTROL: Configured with a default length of 200. This moving average is a longer-term trend indicator used as a "control" reference. It’s color changes as well depending on price action.
SMA (Simple Moving Average) BUY: Configured with a default length of 50. This moving average acts as the "BUY" zone, where color changes help signal when price is above or below this moving average.
EMA (Exponential Moving Average): Configured with a default length of 13, which reacts more quickly to price changes compared to SMA. It’s plotted but hidden by default.
Dynamic Color Changes: Each moving average has two color states:
When the price is above the moving average, the color shifts to a positive tone, signaling potential buy signals.
When the price is below the moving average, the color turns negative, signaling potential sell or warning zones.
Colors used are:
SMA SELL: Green when above, Red when below.
SMA CONTROL: Blue when above, Red when below.
SMA BUY: Blue when above, Red when below.
EMA: Dark tone when above, Blue tone when below.
Customizable Inputs:
SMA 22 (SELL), SMA 200 (CONTROL), SMA 50 (BUY), and EMA 13 can be adjusted via the input panel to suit different trading strategies.
Source for calculations: The default source for all calculations is the close price.
Plotting and Visibility:
The SMA 22 and EMA 13 are hidden by default but can be revealed as per user preferences.
The SMA 200 and SMA 50 are visible by default for comparison.
How the Script Works:
Color Logic:
The moving averages are colored based on the position of the price relative to the moving average:
Green (Up trend): Price is above the moving average.
Red (Down trend): Price is below the moving average.
Blue (Neutral): For the SMA 50 and EMA, price is either neutral or ranging.
Dynamic Indicators:
The SMA SELL (22) helps traders spot short-term selling opportunities when the price is below this line.
The SMA CONTROL (200) helps gauge the long-term trend and acts as a control line.
The SMA BUY (50) is considered a neutral or buy zone, where the price is seen as more favorable for buying when above the line.
The EMA 13 reacts quickly to price changes, providing faster signals for traders looking for a more dynamic approach.
How to Use:
Trend Confirmation: Use the SMA 200 (Control line) for long-term trend confirmation.
Entry and Exit:
Buy: Look for price above the SMA 50 (BUY) and the SMA 22 (SELL) showing an uptrend.
Sell: Watch for price below the SMA 50 (BUY) or SMA 22 (SELL) indicating a possible downtrend or a selling opportunity.
EMA 13: Acts as a faster, more responsive trend indicator that can be used for shorter time-frame trades.
Example:
SMA SELL (22): The green line suggests potential buying opportunities when the price is above it. The red line suggests possible selling when the price is below.
SMA CONTROL (200): This acts as the primary trend indicator. If the price is above this, the long-term trend is bullish. If the price is below, the long-term trend is bearish.
SMA BUY (50): When the price is above this line, it indicates a favorable buying zone. When the price is below it, it suggests a potential bearish move.
EMA 13: Often used for short-term trades, especially when the price is moving quickly either above or below it.
Customization:
You can adjust the lengths of the SMA SELL, SMA CONTROL, SMA BUY, and EMA based on your personal strategy or trading style.
Modify the colors of each moving average line to better suit your chart preferences.
This script is suitable for traders looking to combine trend-following and short-term trading strategies using moving averages. It allows for an adaptable approach with visual cues based on the price's relationship with key moving averages.
EMA20/50/100/200 with extended lines and labels by TradeCrafted📈 EMA20/50/100/200 with Extended Lines and Labels by TradeCrafted
Overview
This script plots four key Exponential Moving Averages (EMAs) — 20, 50, 100, and 200 — directly on the chart for enhanced trend visualization.
In addition to the standard plots, it extends each EMA forward with a projected line, helping traders anticipate potential future dynamic support and resistance zones.
Clear, color-coded labels are attached to each EMA, updating live to improve chart readability without clutter.
This tool is designed for educational and informational purposes only and does not provide financial advice or guaranteed trading results.
✨ Features
Plots EMA 20, EMA 50, EMA 100, and EMA 200 in distinct colors.
Extends each EMA line forward by a user-defined number of bars.
Dynamic floating labels show the EMA name and live value.
Minimalistic and clean design, ideal for all trading styles.
Open-source and customizable for user transparency.
📚 Usage
Use this indicator to:
Identify overall market trends across different timeframes.
Spot potential areas of dynamic support and resistance.
Observe EMA crossovers for possible trend shifts.
⚠️ Disclaimer
This script is intended for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any asset.
Always perform your own analysis before making trading decisions.
Event-Based Multi MA v1.1📈 Event-Based Multi MA v1.1 — Smart Trading with Dynamic MA Updates
Overview
In a world where most moving averages blindly follow every candle, Event-Based Multi MA v1.1 introduces a smarter logic:
➡️ Update moving averages only when significant price movements occur.
Forget the noise. Focus on what's important.
This indicator recalculates your moving averages only after meaningful price shifts, allowing you to spot true trends and avoid market whipsaws.
Key Features
✅ Event-Driven Logic
Set events based on:
Points: Absolute price change
Percent: Relative price movement
ATR: Volatility-adjusted dynamic movement
✅ Seven Fully Customizable Moving Averages (MA1–MA7)
Each MA offers:
Custom timeframe
Selection of types (EMA, SMA, WMA, VWMA, HMA, LSMA, DEMA, TEMA, ALMA, RMA)
Adjustable lengths and colors
✅ Reduced Market Noise
MAs adjust only after important price actions — cutting down lag and false signals.
✅ Multi-Timeframe Analysis
You can blend moving averages from different timeframes (e.g., 15m, 1H, Daily) into a single chart — perfect for professional multi-frame strategy building.
Settings Explained
Event Trigger Type: Select Points, Percent, or ATR-based movement.
Event Threshold: The amount of price movement needed to trigger a new calculation.
ATR Length: If ATR mode is selected, this controls the sensitivity.
Each Moving Average (MA1 to MA7) has:
MA Type: Choose the smoothing method that suits your trading style.
Length: The number of bars used in the calculation.
Color: Customize visual styling.
Timeframe: Load MAs from different timeframes into your current chart.
How to Use It in Trading
🔹 Trend Confirmation
Wait for event-triggered updates. Fresh MAs after a significant move are much stronger signals than constantly refreshing MAs.
🔹 Momentum Breakouts
Combine short-term (e.g., MA1, MA2) and long-term (e.g., MA5, MA6) MAs. When short-term MAs cross above/below long-term after an event, it's a powerful breakout cue.
🔹 Dynamic Support/Resistance
Use slow-moving MAs like 100-200 length across different timeframes.
The event-based recalculation keeps them relevant to recent major price moves.
🔹 Volatility Filters
Switch to ATR-based events to adapt moving average updates during volatile periods and calm markets.
Why It Beats Traditional Moving Averages
🚀 No More Overfitting to Every Candle
You focus only on impactful price changes.
🚀 Multi-Timeframe Flexibility
Blend micro and macro views seamlessly in one chart.
🚀 Cleaner Signals, Less Noise
Event-triggered recalculations filter out useless minor price wobbles.
🚀 Customization Beyond Standard MAs
TEMA, HMA, ALMA, DEMA, VWMA — all included for ultra-fine-tuned strategies.
✨ Ready to Upgrade Your Trading?
Forget the old, slow MAs.
Use intelligence. Trade events, not noise.
→ Add Event-Based Multi MA v1.1 to your chart and experience true precision!
Institutional Composite Moving Average (ICMA) [Volume Vigilante]Institutional Composite Moving Average (ICMA)
The Next Evolution of Moving Averages — Built for Real Traders.
ICMA blends the strength of four powerful averages (SMA, EMA, WMA, HMA) into a single ultra-responsive, ultra-smooth signal.
It reacts faster than traditional MAs while filtering out noise, giving you clean trend direction with minimal lag.
🔹 Key Features:
• Faster reaction than SMA, EMA, or WMA individually
• Smoother and more stable than raw HMA
• Naturally adapts across trend, momentum, and consolidation conditions
• Zero gimmicks. Zero repainting. Full institutional quality.
🔹 Designed For:
• Scalping
• Swing trading
• Signal engines
• Algorithmic systems
📎 How to Use:
• Overlay it on any chart
• Fine-tune the length per timeframe
• Combine with your entries/exits for maximum edge
Created by Volume Vigilante 🧬 — Delivering Real-World Trading Tools.
DMM Face-Melter Pro v2🔧 Core Components & Functionality
📐 Dynamic Fibonacci Levels (Slow)
Five ultra-reliable zones based on extended Fibonacci sequences (think 377, 610, 987, etc.).
Specifically designed to remain hidden until price proximity matters.
When price action moves within ~10% of one of these levels, it’s automatically activated and displayed.
As price moves away, the level enters a cooldown phase and stops printing on the chart.
Especially powerful in swing setups and macro timeframes, where these levels often mark major turning points or hidden support/resistance, yet are not routinely tracked due their long length.
🧊 Cool 9 + Gradient Suite (Fast to Medium)
Cool 9: A fast-reacting line with a smooth visual gradient stretching to the Fibonacci 34. The gradient visually communicates momentum decay and near-term exhaustion.
Cool 21 and Cool 55: Optional overlays that round out this trio of reactive lines. These mid-length Fib levels are ideal for spotting rhythm-based reversals and continuation patterns.
All three have proven effectiveness across all timeframes, from intraday to monthly charts, with an emphasis on oscillation structure.
🌫 Death Metal Bands (Candle Coloring Logic)
Candle colors shift dynamically based on interaction with a Bollinger Bands–inspired cloud.
Candles get brighter or darker as they close deeper into the upper or lower cloud, giving an intuitive sense of price extremes without extra lines.
The color sequence resets when price enters the middle zone.
Choose between:
Standard Mode: Green/red candles shift toward white/gray.
Low-Stress Mode: Cream/gray candles shift toward purple/blue—for reduced screen fatigue and clearer judgment in high-volatility conditions.
🟨 200-Day Cloud
A cloud-based visualization of the 200-period moving average, enhanced with an embedded Fibonacci level.
Helps identify high-confluence zones that institutional traders often react to, but which are rarely marked with this level of refinement.
🧠 How to Use It
This script was built for traders who need high-signal input and low chart noise:
Swing traders can use the dynamic Fibonacci levels to monitor hidden zones where price often pivots.
Trend followers can lean on the Cool 9 suite to confirm direction and strength in real time.
Visual and discretionary traders will benefit from candle color cues that highlight exhaustion without clashing with other systems or charts.
Death Metal Fire & IceA dynamic support/resistance system built from modified Fibonacci-based moving averages, designed to assist with structure identification in trending markets — particularly when price is moving into uncharted territory.
🧠 Core Logic
Twelve Fibonacci-based moving averages are mathematically adjusted by the square root of a standard trading Fibonacci ratio to create projected zones above and around price. These dynamic levels are labeled L1 to L12 and automatically adjust with trend velocity and volatility.
Faster levels (L1–L5) often serve as immediate reaction zones in volatile markets and provide ceilings for rising price action.
Slower levels (L6–L12) tend to behave as longer-term structure — both above and below current price.
These levels are dynamic, non-static, and provide forward-looking structure that adapts as markets move. Price tends to range between these levels until conditions change, which becomes visually apparent through the breaking of support/resistance.
⚙️ Features
Smart Mode: Hides levels that are not relevant to current price proximity. Price action needs to get within 10% of the level for it to appear. If price action moves away from the level, there will be a cooldown period for the line to cease printing on the chart.
Gradient Mode: Fills space between levels with a visual overlay to help visualize distance and potential volatility.
Levels can be toggled on/off individually.
🧩 Use Case
Designed for trending markets where traditional support/resistance is unavailable or unreliable.
Applicable across all assets and timeframes — stocks, crypto, futures, etc.
