NQ Trading Strategy by Kaok TradesThe Kaok Trades NQ Scalping Strategy is designed for traders who want to capture high-probability intraday moves on Nasdaq Futures with minimal screen time. This strategy combines momentum confirmation with volatility-based stop placement, helping traders manage risk and maximize reward.
Padrões gráficos
GUSIGUSI Free — Adaptive Bitcoin Cycle Risk (0–100)
What it does
GUSI Free converts multiple cycle-relevant metrics into a single 0–100 risk score for Bitcoin. Instead of static thresholds (which tend to degrade across cycles), GUSI uses cycle-aware, time-varying trigger levels and long-horizon normalization to keep signals meaningful as the market matures. The panel shows the composite line plus actionable trigger levels that highlight overheated vs. deep-value conditions.
What’s new vs. typical versions
Decreasing/Sloped trigger functions: Each metric is evaluated against non-horizontal, time-adjusted thresholds so that tops don’t rely on fixed numbers that become obsolete as adoption and liquidity evolve.
Long-term normalization: Outlier-resistant smoothing and z-score style lookbacks reduce distortion from short, violent swings.
Composite risk mapping: Modernized component signals are transformed to a unit scale and merged into one interpretable 0–100 metric—clearer to read, harder to misread.
How the model is built (proprietary, modernized components)
Each element below is a modified version of a familiar idea, adapted for cycle drift and volatility profile changes:
Logarithmic MACD (LMACD): Computed in log-return space with Ehlers-style smoothing, evaluated against down-sloping top and up-tilting bottom bands.
MVRV-Z (regression-guided): Market-to-realized premium mapped to cycle-aware upper/lower bands that decline/rise over time rather than sit flat.
NUPL / NUPL-Z blend: Tops assessed with a declining NUPL threshold, bottoms with dynamic z-score normalization, then fused to a single risk contribution.
Puell Multiple (log-decay): Issuance revenue multiple measured against log-decaying top and gently rising bottom references.
Weekly RSI (bottom context): A weekly momentum filter contributes only to downside risk context to avoid double-counting tops.
Risk-metric construction (0–100)
Each component is scaled between its cycle-aware bottom and top reference, producing a bounded unit risk.
Internally weighted components are combined into one composite, then scaled to 0–100.
The panel overlays trigger levels commonly used by GUSI users:
Around 97 → historically consistent with top-risk environments.
Around 2.5 → historically consistent with deep accumulation conditions.
Background highlights and labels make these zones explicit, so the chart conveys state (distribution/accumulation) at a glance.
Intended chart context
Use on INDEX:BTCUSD, 1D timeframe for the designed behavior.
Scope & realism
This is an analytical risk model, not a promise of returns. Historical alignment with cycle extremes does not guarantee future outcomes. Always combine with independent risk management and confirm on-chain/data availability.
Long-only Swing/Scalp (anchored exits + TP harness) Traders PostThis is the Traders Post friendly drag and drop version of the swing/ scalp strategy for the algo traders out there. Let me know your thoughts, constructive criticism is always welcome.
Long‑only Swing/ScalpThis is a basic scalper stategy for algos or crypto bots, tested on BNB, not the best backtest but you can tweak and get better results. Take profit at 1% and Sl at 2% , adjust those settings first to see different back test resutls.
GUSI BasicGUSI Basic — Adaptive Bitcoin Cycle Risk
What it does
GUSI Basic calculates a 0–100 risk score for Bitcoin cycles using a blend of adapted on-chain and market signals. Unlike traditional versions of NUPL, MVRV, or Puell Multiple that rely on static thresholds, GUSI introduces sloped trigger lines and long-term normalization techniques. This makes the logic responsive to Bitcoin’s structural changes over time, keeping signals relevant across multiple cycles.
Key features
Dynamic thresholds: Instead of fixed horizontal levels, each signal uses sloped functions that decrease or increase gradually, reflecting the evolving maturity of the Bitcoin market.
Noise reduction: Long-term smoothing and z-score normalization help filter out extreme volatility and short-term distortions.
Composite score: Multiple proprietary adaptations are merged into a single, intuitive risk scale that simplifies interpretation without oversimplifying the data.
Component transparency: Users can enable or disable individual elements to see how each contributes to the composite model.
Signals included
Logarithmic MACD with cycle-aware thresholds
MVRV-Z Regression with declining bands
Net Unrealized Profit/Loss with z-score normalization
Puell Multiple with logarithmic decay
Weekly RSI Momentum filter for cycle lows
How to use
Apply on INDEX:BTCUSD, 1D chart for the intended view.
Readings near 97 have historically aligned with overheated market conditions.
Readings near 2.5 have marked deep accumulation zones.
Labels and background colors provide direct visual cues for both accumulation and distribution phases.
Summary
GUSI Basic adapts classic on-chain metrics to today’s Bitcoin market. By replacing static thresholds with sloped functions and normalization, it provides a composite view that evolves with each cycle—offering traders a clearer, cycle-aware perspective.
GUSI ProGUSI — Adaptive Bitcoin Cycle Risk Model
Most on-chain metrics published on TradingView — such as NUPL, MVRV, or Puell Multiple — were once reliable in past cycles but have lost accuracy. The reason is simple: their trigger levels are static, while Bitcoin’s market structure changes over time. Tops have formed lower each cycle, yet the traditional horizontal thresholds remain unchanged.
What GUSI does differently:
It introduces sloped trigger functions that decrease over time, adapting each metric to Bitcoin’s maturing market.
It applies long-term normalization methods (smoothing and z-score lookups) to reduce distortion from short-term volatility and extreme outliers.
It only includes signals that remain valid across all Bitcoin cycles since 2011, discarding dozens of popular on-chain ideas that fail even after adjustment.
How GUSI is built:
GUSI is not just a mashup of indicators. Each component is a proprietary, modified version of a known on-chain signal:
Logarithmic MACD with declining trigger bands
MVRV-Z Score Regression with cycle-aware slopes
Net Unrealized Profit/Loss Ratio normalized with dynamic z-scores
Puell Multiple with logarithmic decay
Weekly RSI momentum filter for bottoms
Optional Pi Cycle Top logic with sloped moving averages
These are combined into a composite risk scoring system (0–100). Every signal contributes to the score according to user-defined weights, and each can be toggled on/off. The end result is a flexible model that adapts to long-term changes in Bitcoin’s cycles while staying transparent in its logic.
How to use it:
Scores near 97 indicate historically high-risk conditions (cycle tops).
Scores near 2.5 highlight deep accumulation zones (cycle bottoms).
Background colors and labels make the conditions clear, and built-in alerts let you automate your strategy.
GUSI is designed for the INDEX:BTCUSD 1D chart and works best when viewed in that context.
In short: GUSI makes classic on-chain indicators relevant again by adapting them to Bitcoin’s evolving market cycles. Instead of relying on static thresholds that stop working over time, it introduces dynamic slopes, normalization, and a weighted composite framework that traders can adjust themselves.
For explanations, customization guides, and support, visit gusi-signal.com.
Ultimate Gold Long Indicator - Execução Final v26.1 By M.LolasUltimate Gold Long Indicator - Execução Final v26.1 By M.Lolas
Central indicator for by long in 15m time frame 20x.
“Backtested indicator for an aggressive 15-minute, 20×-leverage strategy, packed with capital-protection features.”
By M.Lolas
Ultimate Gold Confluence Score – Validator v6.1 By M.Lolas“Ultimate Gold Confluence Score Validator — multi-indicator add-on for a 15-minute, 20× long strategy with a very high win rate. Supports the strategy’s main indicator.”
EMP Probabilistic [CHE]Part 1 — For Traders (Practical Overview, no formulas)
What this tool does
EMP Probabilistic \ turns raw price action into a clean, probability-aware map. It builds two adaptive bands around the session open of a higher timeframe you choose (called the S-timeframe) and highlights a robust median threshold. At a glance you know:
Where price has recently tended to stay,
Whether current momentum sits above or below the median, and
A live Long vs. Short probability based on recent outcomes.
Why it improves decisions
Objective context in any regime: The nonparametric band comes straight from recent market behavior, without assuming a particular distribution.
Volatility-aware risk lens: The parametric band adapts to current volatility, helping you judge stretch and room for continuation or snap-back.
No lookahead: All stats update only after an S-bar is finished. That means the panel reflects information you truly had at that time.
How to read the chart
Orange band = empirical, distribution-free range derived from recent session returns (nonparametric).
Teal band = volatility-scaled range around the session open (parametric).
Median dots: green when close is above the median threshold, red when below.
Info panel: shows the active S-timeframe, window sizes, live coverage for both bands, the internal width parameter and volatility estimate, plus a one-line summary.
Probability label: “Long XX% • Short YY%” — a simple read on the recent balance of up vs. down S-bars.
How to use it (quick start)
1. Choose S-timeframe with Auto, Multiplier, or Manual. “Auto” scales your chart TF up to a sensible higher step.
2. Set alpha to control how tight the inner band should be. A typical value gives you a comfortable center zone without cutting off healthy trends.
3. Trade the context:
Trend-following: Prefer longs when price holds above the median; prefer shorts when it stays below.
Mean-reversion: Fade moves near the outer edges during ranges; look for reversion back toward the median.
Breakout filter: Require closes that push and hold beyond the volatility band for momentum plays; avoid noise when price chops inside the middle of the orange band.
Risk management made practical
Size positions relative to the teal band width to keep risk consistent across instruments and regimes.
For stops, many traders set them just beyond the opposite orange bound or use a fraction of the teal band.
Watch the panel’s coverage readouts and Brier score; when they deteriorate, the market may be shifting — reduce size or demand stronger confirmation.
Suggested presets
Scalping (Crypto/FX): Auto S-TF, alpha around a fifth, calibration window near two hundred, RS volatility, metrics window near two hundred.
Intraday Futures: Multiplier 3–5× your chart TF; similar alpha and window sizes; RS volatility is a solid default.
Swing/Equities: S-TF at least daily; test both RS and GK volatility modes; keep windows on the larger side for stability.
What makes it different
Two complementary lenses: a distribution-free read of recent behavior and a volatility-scaled read for risk and stretch.
Self-calibrating width: the parametric band quietly nudges its internal multiplier so actual coverage tracks your target.
Clean UX: grouped inputs, tooltips, an info panel that tells you what’s going on, and a simple median bias you can act on.
Repainting & timing
The logic updates only when the S-bar closes. On lower-timeframe charts you’ll see intrabar flips of the dot color — that’s just live price moving around. For strict signals, confirm on S-bar close.
Friendly note (not financial advice)
Use this as a context engine. It won’t predict the future, but it will keep you on the right side of probability and volatility more often, which is exactly where consistency starts.
Part 2 — Under the Hood (Conceptual, no formulas)
Data and timeframe design
The script works on a higher S-timeframe you select. It fetches the open, high, low, close, and time of that S-bar. Internally, it only updates its rolling windows after an S-bar has finished. It then pushes the previous S-bar’s statistics into its arrays. That design removes lookahead and keeps the metrics out-of-sample relative to the current S-bar.
Nonparametric band (distribution-free)
The orange band comes from the empirical distribution of recent session-level close-minus-open moves. The script keeps a rolling window, sorts a safe copy, and reads three key points: a lower bound, a median, and an upper bound. Because it’s based purely on observed outcomes, it adapts naturally to skew, fat tails, and regime shifts without assuming any particular shape. The orange range shows “where price has tended to live” lately on the chosen S-timeframe.
Parametric band (volatility-scaled)
The teal band models log-space variability around the session open using one of two well-known OHLC volatility estimators: Rogers–Satchell or Garman–Klass. Each estimator contributes a per-bar variance figure; the script averages these across the rolling window to form a current volatility scale. It then builds a symmetric band around the session open in price space. This gives you a volatility-aware notion of stretch that complements the distribution-free orange band.
Self-calibration of band width
The teal band has an internal width multiplier. After each completed S-bar the script checks whether the realized move stayed inside that band. If the band was too tight, the multiplier is nudged upward; if it was too loose, it’s eased downward. A simple learning rate governs how quickly it adapts. Over time this keeps the realized inside-coverage close to the target implied by your alpha setting, without you having to hand-tune anything.
Long/Short probability and calibration quality
The Long vs. Short probability is a transparent statistic: it’s just the recent fraction of up sessions in the rolling window. It is not a complex model — and that’s the point. You get an honest, intuitive read on directional tendency.
To monitor how well this simple probability lines up with reality, the script tracks a Brier-style score over a separate metrics window. Lower is better: it means your recent probability read has matched outcomes more closely.
Coverage tracking for both bands
The panel reports coverage for the orange band (nonparametric) and the teal band (parametric). These are rolling averages of how often recent S-bar moves landed inside each band. Watching these two numbers tells you whether market behavior still aligns with the recent distribution and with the current volatility model.
Why it doesn’t repaint
Because the arrays update only when an S-bar closes and only push the previous bar’s stats, the panel and metrics reflect information you had at the time. Intrabar visuals can change while a bar is forming — that’s expected — but the decision framework itself is anchored to completed S-bars.
Performance and practicality
The heaviest step is sorting a copy of the window for the nonparametric band. With typical window sizes this stays responsive on TradingView. The volatility estimators and rolling averages are lightweight. Inputs are grouped with clear tooltips so you can tune without hunting.
Limitations and good practice
In thin or gappy markets the bands can jump; consider a larger window or a higher S-timeframe.
During violent regime shifts, shorten the window and increase the learning rate slightly so the teal band catches up faster — but don’t overdo it, or you’ll chase noise.
The Long/Short probability is intentionally simple; it’s a context indicator, not a standalone signal factory. Combine it with structure, volume, or your execution rules.
Takeaway
Under the hood, the script blends empirical behavior and volatility scaling, then self-calibrates so the teal band’s real-world coverage stays near your target. You get clarity, consistency, and a dashboard that tells you when its own assumptions are holding up — exactly what you need to trade with confidence.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Best regards and happy trading
Chervolino
CA Trading BUY/SELL with TPThis indicator combines trend confirmation, pivot structure, and Take-Profit targets to give traders structured BUY and SELL signals with dynamic profit-taking options.
Key Features
- BUY & SELL Signals
- Generated from EMA crossover, RSI filter, and pivot-based trend detection.
- Green “BUY” and red “SELL” signals are displayed directly on the chart.
- Take-Profit Targets
- TP lines automatically end when price hits them (liquidity sweep) or after a set number of candles.
Customizable Settings
- EMA lengths, RSI settings, pivot sensitivity, and TP line length.
- Adjust Take-Profit targets
Use Cases
- Helps identify clear entry signals with structured TP levels.
- Supports profit-taking strategies.
- Highlights liquidity grabs for Smart Money Concept (SMC) traders.
Skywalker Strong Signals The Skywalker Scanner is a technical analysis tool designed to help traders evaluate market conditions by combining multiple signals into a single system.
Key Features:
EMA Trend Tracking – Fast and slow EMAs visually highlight bullish and bearish market zones.
RSI Alerts – Provides warnings when RSI reaches overbought or oversold levels to help identify potential momentum shifts.
Volume Filter – Signals are confirmed only when volume exceeds a moving average threshold.
Buy & Sell Conditions – Alerts trigger when EMA crossovers align with RSI thresholds, MACD momentum, and candle confirmation.
How It Works:
Instead of relying on a single indicator, the Skywalker Scanner filters setups so that buy or sell signals only appear when multiple conditions agree. This aims to reduce false positives and provide traders with clearer potential trade opportunities.
Usage:
Suitable across multiple timeframes, from scalping to swing trading.
Can be used standalone or as a confirmation tool alongside other strategies.
Does not guarantee results; intended for educational purposes only.
15m Continuation — prev → new (v6, styled)This indicator gives you backtested statistics on how often reversals vs continuations occur on 15 minute candles on any pair you want to trade. This is great for 15m binary markets like on Polymarket.
Day Trader Trend & Triggers + Mini-Meter — v6**Day Trader Trend & Triggers — Intraday**
A fast, intraday trend and entry tool designed for **1m–15m charts**. It identifies **strong up/down trends** using:
* **MA ribbon:** EMA9 > EMA21 > EMA50 (or inverse) for directional bias.
* **Momentum:** RSI(50-line) and MACD histogram flips.
* **Volume & VWAP:** only confirms when volume expands above SMA(20) and price is above/below VWAP.
* **Higher-TF bias filter (optional):** e.g., align 1m/5m signals with the 15m trend.
When all align, the background highlights and the mini-meter shows UP/DOWN.
It also plots **entries**:
* **Pullbacks** to EMA21/EMA50 with a MACD re-cross,
* **Breakouts** of recent highs/lows on strong volume.
Built-in **alerts** for trend flips, pullbacks, and breakouts let you trade hands-off.
Best used on **5m for active day trades**, with 1m/3m for scalping and 15m for cleaner intraday swings.
S&P 500 Scanner
🚀 S&P 500 Scanner – TradingView Stock Screener for Reversals
Catch early bullish & bearish signals in S&P 500 stocks. Real-time TradingView scanner for scalping, day trading & swing trading with non-lagging alerts.
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👋 Meet Your New Trading Buddy
Looking for an intelligent S&P 500 scanner on TradingView?
Say hello to your new edge—the S&P 500 Stock Scanner, a professional tool for spotting bullish and bearish reversals in America’s biggest, most liquid companies.
No more doomscrolling 500 charts manually (seriously, who has time for that? 😅). Instead, get real-time buy/sell signals, alerts, and chart markers for scalping, day trading, and swing trading—all without lagging indicators.
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🔥 Why This S&P 500 Screener Rocks
Catch SP500 reversals early before the herd piles in.
Trade 500 blue-chip US stocks—Apple, Nvidia, Tesla, Microsoft, you name it.
Get “non-lagging” stock signals based on candlestick patterns, divergences, and momentum.
Works in real-time during U.S. market hours.
Perfect for anyone searching:
👉 “SP500 stock screener”
👉 “TradingView S&P 500 scanner”
👉 “candlestick reversal indicator”
👉 “day trading scanner US stocks”
Basically, if it’s in the top 500 US companies, this scanner will find the next move before your cousin’s “hot stock tip” shows up on WhatsApp. 📲😂
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📊 What is the S&P 500 Anyway?
The S&P 500 Index is the gold standard of U.S. equities. It tracks 500 of the strongest companies, representing over $50 trillion in market cap (yes, trillion with a T 💰).
From tech beasts like Apple 🍏 and Nvidia 💻 to financial powerhouses like JPMorgan 🏦 and Berkshire Hathaway 🐂, these are the stocks that move global markets.
Our S&P 500 Scanner analyzes them all—broken into 20 groups with 25 stocks each—giving you “bullish/bearish signals S&P500” on every timeframe:
⏱ Scalpers → 1m–5m charts
📉 Day traders → 15m–1h charts
📈 Swing traders → Daily/Weekly setups
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⚙️ How the Scanner Works
✅ Hard-Coded Groups → 20 groups × 25 stocks = full SP500 coverage.
✅ Table View → See live signals:
🟢 Green 1 = bullish reversal
🔴 Red 2 = bearish reversal
✅ X Markers on Charts → Green below for buys, red above for sells.
✅ Auto Support/Resistance → Confidence boosters for entries.
✅ 50+ Pattern Detection → Hammers, dojis, engulfing, divergences, exhaustion.
What are the Rules of using it? Very Simple:
Long = enter above Green X ✅
Short = enter below Red X ❌
Stop loss = previous candle's close 🛑
Target = 2–7% or until opposite signal appears 🎯
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🚨 Group-Level Alerts = Less Screen Time
Set one alert per group and relax. When you set up alert on even 1 stock of any Group, you will get notified of reversal Signal developing in any other stock too which is part of this group, you’ll know instantly— so it is ideal for day trading alerts on S&P500 stocks as well as for swing trading.
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🎯 Why Traders Love It
Time Saver ⏳: No need to scan 500 charts.
Early Bird Advantage 🐦: Enter before lagging indicators catch up.
High Liquidity 💧: Trade top U.S. stocks with seamless execution.
Flexible Strategies 🔀: Scalping, intraday, or swing.
Custom Alerts 🔔: Never miss bullish/bearish setups again.
If you’ve ever searched “early entry stock scanner TradingView” or “best SP500 reversal screener”, this is built for you.
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📈 Trading Strategies Made Easy
Scalping Tool: Fast moves on 1–5m charts.
Day Trading Indicator: Intraday reversals during U.S. hours.
Swing Trading Scanner: Daily setups with trend continuation.
Adapt to your style and trade smarter, not harder.
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🔍 Optimized For Traders Searching:
“S&P 500 stock screener TradingView”
“real-time reversal alerts SP500”
“candlestick pattern scanner US stocks”
“best day trading indicator SP500”
“non-lagging SP500 trading strategy”
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🚀 Ready to Scan Like a Pro?
✅ Load the S&P 500 Scanner on your TradingView charts today.
✅ Catch reversals early, trade with confidence, and get a head starts vis-a-vis lagging indicators 🥊.
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⚠️ Disclaimer
✅ This indicator provides technical trading signals based on price action, candlestick patterns, and momentum.
✅ It does not replace your financial advisor. 📉📈
✅ Use it as a technical edge, while doing your own fundamental research or following guidance from your advisor for long-term decisions.
Day Trader Trend & Triggers — v6**Day Trader Trend & Triggers — Intraday**
A fast, intraday trend and entry tool designed for **1m–15m charts**. It identifies **strong up/down trends** using:
* **MA ribbon:** EMA9 > EMA21 > EMA50 (or inverse) for directional bias.
* **Momentum:** RSI(50-line) and MACD histogram flips.
* **Volume & VWAP:** only confirms when volume expands above SMA(20) and price is above/below VWAP.
* **Higher-TF bias filter (optional):** e.g., align 1m/5m signals with the 15m trend.
When all align, the background highlights and the mini-meter shows UP/DOWN.
It also plots **entries**:
* **Pullbacks** to EMA21/EMA50 with a MACD re-cross,
* **Breakouts** of recent highs/lows on strong volume.
Built-in **alerts** for trend flips, pullbacks, and breakouts let you trade hands-off.
Best used on **5m for active day trades**, with 1m/3m for scalping and 15m for cleaner intraday swings.
Strong Trend Suite — Clean v6A clean, rules-based trend tool for swing traders. It identifies strong up/down trends by syncing five pillars:
Trend structure: price above/below a MA stack (EMA20 > SMA50 > EMA200 for up; inverse for down).
Momentum: RSI (50 line) and MACD (line > signal and side of zero).
Trend strength: ADX above a threshold and rising.
Volume confirmation: OBV vs its short MA (accumulation/distribution).
Optional higher-TF bias: weekly filter to avoid fighting bigger flows.
When all align, the background tints and the mini-meter flips green/red (UP/DOWN).
It also marks entry cues: pullbacks to EMA20/SMA50 with a MACD re-cross, or breakouts of recent highs/lows on volume.
Built-in alerts for strong trend, pullback, and breakout keep you hands-off; use “Once per bar close” on the Daily chart for best signal quality.
Short Monday , Long TuesdayKillaxbt create this concept. Often BTC create this pattern:
Monday Short ✔️
Tuesday Long ✔️
Wednesday... Lets give it a test during Asia. Just remember who shared this first. 😉
Thursday is pivot. Depending on the narrative leading into thursday... we determine direction. ⚡️
This concept is graphic, he show where you are and where we can go. He give you a plan for the week
Concept : @killaxbt
Code by @paulbri
Denys_MVT (Sessions Boxes)Denys_MVT (Sessions Boxes)
This indicator highlights the main trading sessions — Asia, Frankfurt, London, and New York — directly on the chart.
It helps traders visually separate market activity during different times of the day and quickly understand which session is currently active.
🔹 How it works
You can choose between Box Mode (draws a box around the session’s high and low) or Fill Mode (background color for the session).
Each session has its own customizable time range and color.
Labels can be placed automatically at the beginning of each session.
The script uses the time() function with your selected UTC offset to precisely map session times.
🔹 Features
Displays Asia, Frankfurt, London, and New York sessions.
Option to toggle between boxes and background shading.
Adjustable transparency and session colors.
Session labels for easier visual reference.
Works on any symbol and timeframe.
🔹 How to use
Add the indicator to your chart.
Set your local UTC offset in the settings (default: UTC+2).
Enable/disable sessions, change colors, or switch between Box/Fill mode.
Use the session highlights to better understand when volatility typically increases and how different sessions interact.
XAU/USD Institutional Levels and Range - Final VersionXAU/USD Institutional Levels and Range - Final Version
Price Level Highlighter [ldlwtrades]This indicator is a minimalist and highly effective tool designed for traders who incorporate institutional concepts into their analysis. It automates the identification of key psychological price levels and adds a unique, dynamic layer of information to help you focus on the most relevant area of the market. Inspired by core principles of market structure and liquidity, it serves as a powerful visual guide for anticipating potential support and resistance.
The core idea is simple: specific price points, particularly those ending in round numbers or common increments, often act as magnets or barriers for price. While many indicators simply plot static lines, this tool goes further by intelligently highlighting the single most significant level in real-time. This dynamic feature allows you to quickly pinpoint where the market is currently engaged, offering a clear reference point for your trading decisions. It reduces chart clutter and enhances your focus on the immediate price action.
Features
Customizable Price Range: Easily define a specific Start Price and End Price to focus the indicator on the most relevant area of your chart, preventing unnecessary clutter.
Adjustable Increment: Change the interval of the lines to suit your trading style, from high-frequency increments (e.g., 10 points) for scalping to wider intervals (e.g., 50 or 100 points) for swing trading.
Intelligent Highlighting: A key feature that automatically identifies and highlights the single horizontal line closest to the current market price with a distinct color and thickness. This gives you an immediate visual cue for the most relevant price level.
Highly Customizabile: Adjust the line color, style, and width for both the main lines and the highlighted line to fit your personal chart aesthetic.
Usage
Apply the indicator to your chart.
In the settings, input your desired price range (Start Price and End Price) to match the market you are trading.
Set the Price Increment to your preferred density.
Monitor the chart for the highlighted line. This is your active price level and a key area of interest.
Combine this tool with other confirmation signals (e.g., order blocks, fair value gaps, liquidity pools) to build higher-probability trade setups.
Best Practices
Pairing: This tool is effective across all markets, including stocks, forex, indices, and crypto. It is particularly useful for volatile markets where price moves rapidly between psychological levels.
Mindful Analysis: Use the highlighted level as a reference point for your analysis, not as a standalone signal. A break above or below this level can signify a shift in market control.
Backtesting: Always backtest the indicator on your preferred market and timeframe to understand how it performs under different conditions.