Dobrusky Pressure CoreWhat it does & who it’s for
Dobrusky Pressure Core is a volume by time replacement for traders who care about which side actually controls each bar. Instead of just plotting total volume, it splits each bar into estimated buy vs sell pressure and overlays a custom, session-aware volume baseline. It’s built for discretionary traders who want more nuanced volume context for entries, breakouts, and pullbacks.
Core ideas
Buy/sell pressure split: Each bar’s volume is broken into estimated buying and selling pressure.
Dominant side highlighting: The dominant side (buy or sell) is always displayed starting from the bottom of the bar, so you can quickly see who “owned” that bar.
Median-based baseline: Uses the median of the last N bars (50 by default) to build a robust volume baseline that’s less sensitive to one-off spikes.
Session-aware behavior: Baseline is calculated from Regular Trading Hours (RTH) by default, with an option to include Extended Hours (ETH) and a control to force Regular data on higher timeframes.
Volume regimes: Three multipliers (1x, 1.5x, 2x by default) show normal, high, and extreme volume regions.
Flexible display: Baseline can be shown as lines or as columns behind the volume, with full color customization.
How the pressure logic works
For each bar, the script:
Adjusts the range for gaps relative to the prior close so the “true” traded range is more consistent.
Computes buy pressure as a proportion of the adjusted range from low to close.
Defines sell pressure as: total volume minus buy pressure.
Marks the bar as buy-dominant if buy pressure ≥ sell pressure, otherwise sell-dominant, and colors the dominant side from the bottom to at least the midpoint using the selected buy/sell colors.
In practice, this turns basic volume columns into bars where the internal split and dominant side are clearly visible, helping you judge whether aggressive buyers or sellers truly controlled the bar instead of just looking at the price action.
Volume baseline & session logic
The script builds a session-aware baseline from recent volume:
Baseline length: A rolling window (default 50 bars) is used to compute a median volume value instead of a simple moving average.
RTH-only by default: By default, the baseline is built from Regular Trading Hours bars only. During extended hours, the baseline effectively “freezes” at the last RTH-derived value unless you choose to include extended session data.
Extended mode: If you select Extended mode, the script builds separate rolling baselines for RTH and ETH trading, using the appropriate one depending on the current session.
Force Regular Above Timeframe: On timeframes equal to or higher than your chosen threshold, the baseline automatically uses Regular session data, even if Extended is selected.
Multipliers: Three adjustable multipliers (1x, 1.5x, 2x by default) create normal, high, and extreme volume bands for quick identification.
This lets you choose whether you want a pure RTH reference or a baseline that adapts to extended-session activity.
Example ways to use it
1. Replace standard volume bars
Add Dobrusky Pressure Core to your volume pane and hide the default volume if you prefer a clean look.
Use the colors and split to see at a glance whether buyers or sellers were dominant on each bar.
2. Pressure confirmation for entries
For longs (example concept; adapt to your own rules):
Require that the entry bar’s buy pressure is greater than the previous bar’s sell pressure , or
If the entry and prior bar are both buy-dominant, require that the entry bar has more buy pressure than the prior bar.
This helps avoid taking a long when buying pressure is clearly fading relative to what sellers recently showed. A mirrored idea can be used for short setups with sell pressure.
3. Context from baseline multipliers
Use ~1x baseline as “normal” volume.
Watch for bars at or above 1.5x baseline when you want to see increased participation.
Treat 2x baseline and above as “extreme” volume zones that may mark climactic or especially important bars.
In practice, the baseline and multipliers are best used as context and filters, not as rigid rules.
Settings overview
Display
- Show Volume Baseline: toggle the baseline and its levels on or off.
- Baseline Display: choose between Line or Bars for the baseline visualization.
Baseline Calculation
- Length: lookback for the median baseline (default 50, configurable).
- Baseline Session Data: choose Regular or Extended to control which session data feeds the baseline.
Session Controls
- Regular Session (Local to TZ): define your RTH window (e.g., 0930-1600).
- Session Time Zone: choose the time zone used for that window.
- Force Regular Above Timeframe: on higher timeframes, force the baseline to use Regular session data only.
Baseline Levels
- Show Level x Multiplier 1/2/3: toggle each volume regime level.
- Multiplier 1/2/3: define what you consider normal, high, and extreme volume (defaults: 1.0, 1.5, 2.0).
Colors
- Buy Volume / Sell Volume: choose colors for buy and sell pressure.
- Baseline Bars (Base / x2 / x3): colors when the baseline is drawn as columns.
- Baseline Line (Base / x2 / x3): colors when the baseline is drawn as lines.
Limitations & best practices
This is a decision-support and visualization tool, not a buy/sell signal generator.
Best suited to markets where volume data is meaningful (e.g., index futures, liquid equities, liquid crypto).
The usefulness of any volume-based metric depends on the underlying data feed and instrument structure.
Always combine pressure and baseline context with your own strategy, risk management, and testing.
Originality
Most volume tools either show total volume only or compare it to a simple moving average. Dobrusky Pressure Core combines:
An intrabar buy/sell pressure split based on a gap-adjusted price range.
A median-based, configurable baseline built from session-specific data.
Session-aware behavior that keeps the baseline focused on Regular hours by default, with the option to incorporate Extended hours and force Regular data on higher timeframes.
The goal is to give traders a richer, session-aware view of participation and pressure that standard volume bars and simple SMA overlays don’t provide, while keeping everything transparent and open-source so users can review and adapt the logic.
Cerca negli script per "the script"
VWAP & Band Cross Strategy v6 - AdvancedThese are a few updates made to the original script. The daily take profit and stop loss functions correctly for 1 contract but because of the pyramiding input even if not used you'll need to multiply the values by the number of contracts to keep consistent results. I have been unable to correct that function. Let me know if you test the script and have any recommendations for improvement. If trading an actual account I do recommend setting hard daily limits with your provider because there is still slippage from the original exit alerts even with the daily stop loss in place.
1. Real-Time Execution & Hard PnL Limits (The Focus)
The most critical changes were implemented to ensure the daily profit and loss limits act as hard, real-time barriers instead of waiting for the candle to close.
• Intrabar Tick Execution: The parameter calc_on_every_tick=true was added to the strategy() declaration. This forces the entire script to re-evaluate its logic on every single price update (tick), enabling immediate action.
• Real-Time PnL Tracking: The PnL calculation was updated to track the total_daily_pnl by summing the realized profit/loss (from closed trades) and the unrealized profit/loss (strategy.openprofit) on every tick.
• Immediate Closure: The script now checks the total_daily_pnl against the user-defined limits (daily_take_profit_value, daily_stop_loss_value) and immediately executes strategy.close_all() the moment the threshold is breached, preventing further trading.
• Combined Risk Enforcement: The user-defined "Max Intraday Risk ($)" and the "Daily Stop Loss (Value)" are compared, and the script enforces the tighter of the two limits.
2. Visibility and External Alerting
To address the unavoidable issue of slippage (which causes price overshoot in fast markets even with tick execution), dedicated alert mechanisms were added.
• Dedicated Alert Condition: An alertcondition named DAILY PNL LIMIT REACHED was added. This allows you to set up a TradingView alert that triggers the instant the daily_limit_reached variable turns true, giving you the fastest possible notification.
• Visual Marker: A large red triangle (\u25b2) is plotted on the chart using plotchar at the exact moment the daily limit condition is met, providing a clear visual confirmation of the trigger bar.
3. Strategy Features and Input Flexibility
Several user-requested features were integrated to make the strategy more robust and customizable.
• Trailing Stop / Breakeven (TSL/BE): A new exit option, Fixed Ticks + TSL, was added, allowing you to set a fixed profit target while also deploying a trailing stop or breakeven level based on points/ticks gained.
• Multiple Exit Types: The exit strategy was expanded to include logic for several types: Fixed Ticks, ATR-based, Capped ATR-based, VWAP Cross, and Price/Band Crosses.
• Pyramiding Control: An input Max Pyramiding Entries was introduced to control how many positions the strategy can have open at the same time.
• Confirmation Logic Toggle: Added an input to choose how multiple confirmation indicators (RSI, SMMA, MACD) are combined: "AND" (all must be true) or "OR" (at least one must be true).
• Indicator Confirmations: Logic for three external indicators—RSI, SMMA (EMA), and MACD—was fully integrated to act as optional filters for entry.
• VWAP Reset Anchors: Logic was corrected to properly reset the VWAP calculation based on the selected period ("Daily", "Weekly", or "Session") by using Pine Script v6's required anchor series.
Trading Day Filters: Inputs were added to select which specific days of the week the strategy is allowed to trade.
PM Range Breaker [CHE] PM Range Breaker — Premarket bias with first-five range breaks, optional SWDEMA regime latch, and simple two-times-range targets
Summary
This indicator sets a once-per-day directional bias during New York premarket and then tracks a strict first-five-minutes range from the session open. After the first five complete, it marks clean breakouts and can project targets at two times the measured range. A second mode latches an EMA-based regime to inform the bias and optional background tinting. A compact panel reports live state, first-five levels, and rolling hit rates of both bias modes using a user-defined midday close for statistics.
Motivation: Why this design?
Intraday traders often get whipsawed by early noise or by fast flips in trend filters. This script commits to a bias at a single premarket minute and then waits for the market to present an objective structure: the first-five range. Breaks after that window are clearer and easier to manage. The alternative SWDEMA regime gives a slower, latched context for users who prefer a trend scaffold rather than a midpoint reference.
What’s different vs. standard approaches?
Baseline: Typical open-range-breakout lines or a single moving-average filter without daily commitment.
Architecture differences:
Bias decision at a fixed New York time using either a midpoint lookback (“Classic”) or a two-EMA regime latch (“SWDEMA”).
Strict five-minute window from session open; breakout shapes print only after that window.
Single-shot breakout direction per session (debounce) and optional two-times-range targets.
On-chart panel with hit rates using a configurable midday close for statistics.
Practical effect: Cleaner visuals, fewer repeated signals, and a traceable daily decision that can be evaluated over time.
How it works (technical)
Time handling uses New York session times for premarket decision, open, first-five end, and a midday statistics checkpoint.
Classic bias: A midpoint is computed from the highest and lowest over a user period; at the premarket minute, the bias is set long when the close is above the midpoint, short otherwise.
SWDEMA bias: Two EMAs define a regime score that requires price and trend agreement; when both agree on a confirmed bar, the regime latches. At the premarket minute, the daily bias is set from the current regime.
The first-five range captures high and low from open until the end minute, then freezes. Breakouts are detected after that window using close-based cross logic.
The script draws range lines and optional targets at two times the frozen range. A session break direction latch prevents duplicate break markers.
Statistics compare daily open and a configurable midday close to record if the chosen bias aligned with the move.
Optional elements include EMA lines, midpoint line, latched-regime background, and regime switch markers.
Data aggregation for day logic and the first-five window is sampled on one-minute data with explicit lookahead off. On charts above one minute, values update intra-bar until the underlying minute closes.
Parameter Guide
Premarket Start (NY) — Minute when the bias is decided — Default: 08:30 — Move earlier for more stability; later for recency.
Market Open (NY) — Session start used for the first-five window — Default: 09:30 — Align to instrument’s RTH if different.
First-5 End (NY) — End of the first-five window — Default: 09:35 — Extend slightly to capture wider opening ranges.
Day End (NY) for Stats — Midday checkpoint for hit rate — Default: 12:00 — Use a later time for a longer evaluation window.
Show First-5 Lines — Draw the frozen range lines — Default: On — Turn off if your chart is crowded.
Show Bias Background (Session) — Tint by daily bias during session — Default: On — Useful for directional context.
Show Break Shapes — Print breakout triangles — Default: On — Disable if you only want lines and alerts.
Show 2R Targets (Optional) — Plot targets at two times the range — Default: On — Switch off if you manage exits differently.
Line Length Right — Extension length of drawn lines — Default: 20 (bars) — Increase for slower timeframes.
High/Low Line Colors — Visual colors for range levels — Defaults: Green/Red — Adjust to your theme.
Long/Short Bias Colors — Background tints — Defaults: Green/Red with high transparency — Lower transparency for stronger emphasis.
Show Corner Panel — Enable the info panel — Default: On — Centralizes status and numbers.
Show Hit Rates in Panel — Include success rates — Default: On — Turn off to reduce panel rows.
Panel Position — Anchor on chart — Default: Top right — Move to avoid overlap.
Panel Size — Text size in panel — Default: Small — Increase on high-resolution displays.
Dark Panel — Dark theme for the panel — Default: On — Match your chart background.
Show EMA Lines — Plot blue and red EMAs — Default: Off — Enable for SWDEMA context.
Show Midpoint Line — Plot the midpoint — Default: Off — Useful for Classic mode visualization.
Midpoint Lookback Period — Bars for high-low midpoint — Default: 300 — Larger values stabilize; smaller values respond faster.
Midpoint Line Color — Color for midpoint — Default: Gray — A neutral line works best.
SWDEMA Lengths (Blue/Red) — Periods for the two EMAs — Defaults: 144 and 312 — Longer values reduce flips.
Sources (Blue/Red) — Price sources — Defaults: Close and HLC3 — Adjust if you prefer consistency.
Offsets (Blue/Red) — Pixel offsets for EMA plots — Defaults: zero — Use only for visual shift.
Show Latched Regime Background — Background by SWDEMA regime — Default: Off — Separate from session bias.
Latched Background Transparency — Opacity of regime background — Default: eighty-eight — Lower value for stronger tint.
Show Latch Switch Markers — Plot regime change markers — Default: Off — For auditing regime changes.
Bias Mode — Classic midpoint or SWDEMA latch — Default: Classic — Choose per your style.
Background Mode — Session bias or SWDEMA regime — Default: Session — Decide which background narrative you want.
Reading & Interpretation
Panel: Shows the active bias, first-five high and low, and a state that reads Building during the window, Ready once frozen, and Break arrows when a breakout occurs. Hit rates show the percentage of days where each bias mode aligned with the midday move.
Colors and shapes: Green background implies long bias; red implies short bias. Triangle markers denote the first valid breakout after the first-five window. Optional regime markers flag regime changes.
Lines: First-five high and low form the core structure. Optional targets mark a level at two times the frozen range from the breakout side.
Practical Workflows & Combinations
Trend following: Choose a bias mode. Wait for the first clean breakout after the first-five window in the direction of the bias. Confirm with structure such as higher highs and higher lows or lower highs and lower lows.
Exits and risk: Conservative users can trail behind the opposite side of the first-five range. Aggressive users can scale near the two-times-range target.
Multi-asset and multi-TF: Works well on intraday timeframes from one minute upward. For non-US sessions, adjust the time inputs to the instrument’s regular trading hours.
Behavior, Constraints & Performance
Repaint and confirmation: Bias and regime decisions use confirmed bars. Breakout signals evaluate on bar close at the chart timeframe. On higher timeframes, minute-based sources update within the live bar until the minute closes.
security and HTF: The script samples one-minute data. Lookahead is off. Values stabilize once the source minute closes.
Resources: `max_bars_back` is five thousand. Drawing objects and the panel update efficiently, with position extensions handled on the last bar.
Known limits: Midday statistics use the configured time, not the official daily close. Session logic assumes New York session timing. Targets are simple multiples of the first-five range and do not adapt to volatility beyond that structure.
Sensible Defaults & Quick Tuning
Start with Classic bias, midpoint lookback at three hundred, and all visuals on.
Too many flips in context → switch to SWDEMA mode or increase EMA lengths.
Breakouts feel noisy → extend the first-five end by a minute or two, or wait for a retest by your own rules.
Too sluggish → reduce midpoint lookback or shorten EMA lengths.
Chart cluttered → hide EMA or midpoint lines and keep only range levels and breakout shapes.
What this indicator is—and isn’t
This is a visualization and signal layer for session bias and first-five structure. It does not manage orders, position sizing, or risk. It is not predictive. Use it alongside market structure, execution rules, and independent risk controls.
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.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Many thanks to LonesomeTheBlue
for the original work. I adapted the midpoint calculation for this script. www.tradingview.com
ai quant oculusAI QUANT OCULUS
Version 1.0 | Pine Script v6
Purpose & Innovation
AI QUANT OCULUS integrates four distinct technical concepts—exponential trend filtering, adaptive smoothing, momentum oscillation, and Gaussian smoothing—into a single, cohesive system that delivers clear, objective buy and sell signals along with automatically plotted stop-loss and three profit-target levels. This mash-up goes beyond a simple EMA crossover or standalone TRIX oscillator by requiring confluence across trend, adaptive moving averages, momentum direction, and smoothed price action, reducing false triggers and focusing on high‐probability turning points.
How It Works & Why Its Components Matter
Trend Filter: EMA vs. Adaptive MA
EMA (20) measures the prevailing trend with fixed sensitivity.
Adaptive MA (also EMA-based, length 10) approximates a faster-responding moving average, standing in for a KAMA-style filter.
Bullish bias requires AMA > EMA; bearish bias requires AMA < EMA. This ensures signals align with both the underlying trend and a more nimble view of recent price action.
Momentum Confirmation: TRIX
Calculates a triple-smoothed EMA of price over TRIX Length (15), then converts it to a percentage rate-of-change oscillator.
Positive TRIX reinforces bullish entries; negative TRIX reinforces bearish entries. Using TRIX helps filter whipsaws by focusing on sustained momentum shifts.
Gaussian Price Smoother
Applies two back-to-back 5-period EMAs to the price (“gaussian” smoothing) to remove short-term noise.
Price above the smoothed line confirms strength for longs; below confirms weakness for shorts. This layer avoids entries on erratic spikes.
Confluence Signals
Buy Signal (isBull) fires only when:
AMA > EMA (trend alignment)
TRIX > 0 (momentum support)
Close > Gaussian (price strength)
Sell Signal (isBear) fires under the inverse conditions.
Requiring all three conditions simultaneously sharply reduces false triggers common to single-indicator systems.
Automatic Risk & Reward Plotting
On each new buy or sell signal (edge detection via not isBull or not isBear ), the script:
Stores entryPrice at the signal bar’s close.
Draws a stop-loss line at entry minus ATR(14) × Stop Multiplier (1.5) by default.
Plots three profit-target lines at entry plus ATR × Target Multiplier (1×, 1.5×, and 2×).
All previous labels and lines are deleted on each new signal, keeping the chart uncluttered and focusing only on the current trade.
Inputs & Customization
Input Description Default
EMA Length Period for the main trend EMA 20
Adaptive MA Length Period for the faster adaptive EM A substitute 10
TRIX Length Period for the triple-smoothed momentum oscillator 15
Dominant Cycle Length (Reserved) 40
Stop Multiplier ATR multiple for stop-loss distance 1.5
Target Multiplier ATR multiple for first profit target 1.5
Show Buy/Sell Signals Toggle on-chart labels for entry signals On
How to Use
Apply to Chart: Best on 15 m–1 h timeframes for swing entries or 5 m for agile scalps.
Wait for Full Confluence:
Look for the AMA to cross above/below the EMA and verify TRIX and Gaussian conditions on the same bar.
A bright “LONG” or “SHORT” label marks your entry.
Manage the Trade:
Place your stop where the red or green SL line appears.
Scale or exit at the three yellow TP1/TP2/TP3 lines, automatically drawn by volatility.
Repeat Cleanly: Each new signal clears prior annotations, ensuring you only track the active setup.
Why This Script Stands Out
Multi-Layer Confluence: Trend, momentum, and noise-reduction must all align, addressing the weaknesses of single-indicator strategies.
Automated Trade Management: No manual plotting—stop and target lines appear seamlessly with each signal.
Transparent & Customizable: All logic is open, adjustable, and clearly documented, allowing traders to tweak lengths and multipliers to suit different instruments.
Disclaimer
No indicator guarantees profit. Always backtest AI QUANT OCULUS extensively, combine its signals with your own analysis and risk controls, and practice sound money management before trading live.
MTF Dashboard 9 Timeframes + Signals# MTF Dashboard Pro - Multi-Timeframe Confluence Analysis System
## WHAT THIS SCRIPT DOES
This script creates a comprehensive dashboard that simultaneously analyzes market conditions across 9 different timeframes (1m, 5m, 15m, 30m, 1H, 4H, Daily, Weekly, Monthly) using a proprietary confluence scoring methodology. Unlike simple multi-timeframe displays that show individual indicators separately, this script combines trend analysis, momentum, volatility signals, and volume analysis into unified confluence scores for each timeframe.
## WHY THIS COMBINATION IS ORIGINAL AND USEFUL
**The Problem Solved:** Most traders manually check multiple timeframes and struggle to quickly assess overall market bias when different timeframes show conflicting signals. Existing MTF scripts typically display individual indicators without synthesizing them into actionable intelligence.
**The Solution:** This script implements a mathematical confluence algorithm that:
- Weights each indicator's signal strength (trend direction, RSI momentum, MACD volatility, volume analysis)
- Calculates normalized scores across all active timeframes
- Determines overall market bias with statistical confidence levels
- Provides instant visual feedback through color-coded symbols and star ratings
**Unique Features:**
1. **Confluence Scoring Algorithm**: Mathematically combines multiple indicator signals into a single confidence rating per timeframe
2. **Market Bias Engine**: Automatically calculates overall directional bias with percentage strength across all selected timeframes
3. **Dynamic Display System**: Real-time updates with customizable layouts, color schemes, and selective timeframe activation
4. **Statistical Analysis**: Provides bullish/bearish vote counts and overall confluence percentages
## HOW THE SCRIPT WORKS TECHNICALLY
### Core Calculation Methodology:
**1. Trend Analysis (EMA-based):**
- Fast EMA (default: 9) vs Slow EMA (default: 21) crossover analysis
- Returns values: +1 (bullish), -1 (bearish), 0 (neutral)
**2. Momentum Analysis (RSI-based):**
- RSI levels: >70 (strong bullish +2), >50 (bullish +1), <30 (strong bearish -2), <50 (bearish -1)
- Provides overbought/oversold context for trend confirmation
**3. Volatility Analysis (MACD-based):**
- MACD line vs Signal line positioning
- Histogram strength comparison with previous bar
- Combined score considering both direction and momentum strength
**4. Volume Analysis:**
- Current volume vs 20-period moving average
- Thresholds: >150% MA (strong +2), >100% MA (bullish +1), <50% MA (weak -2)
**5. Confluence Calculation:**
```
Confluence Score = (Trend + RSI + MACD + Volume) / 4.0
```
**6. Market Bias Determination:**
- Counts bullish vs bearish signals across all active timeframes
- Calculates bias strength percentage: |Bullish Count - Bearish Count| / Total Active TFs * 100
- Determines overall market direction: BULLISH, BEARISH, or NEUTRAL
### Multi-Timeframe Implementation:
Uses `request.security()` calls to fetch data from each timeframe, ensuring all calculations are performed on the respective timeframe's data rather than current chart timeframe, providing accurate multi-timeframe analysis.
## HOW TO USE THIS SCRIPT
### Initial Setup:
1. **Timeframe Selection**: Enable/disable specific timeframes in "Timeframe Selection" group based on your trading style
2. **Indicator Configuration**: Adjust EMA periods (Fast: 9, Slow: 21), RSI length (14), and MACD settings (12/26/9) to match your analysis preferences
3. **Display Options**: Choose table position, text size, and color scheme for optimal visibility
### Reading the Dashboard:
**Symbol Interpretation:**
- ⬆⬆ = Strong bullish signal (score ≥ 2)
- ⬆ = Bullish signal (score > 0)
- ➡ = Neutral signal (score = 0)
- ⬇ = Bearish signal (score < 0)
- ⬇⬇ = Strong bearish signal (score ≤ -2)
**Confluence Stars:**
- ★★★★★ = Very high confidence (score > 0.75)
- ★★★★☆ = High confidence (score > 0.5)
- ★★★☆☆ = Medium confidence (score > 0.25)
- ★★☆☆☆ = Low confidence (score > 0)
- ★☆☆☆☆ = Very low confidence (score > -0.25)
**Market Bias Section:**
- Shows overall market direction across all active timeframes
- Strength percentage indicates conviction level
- Overall confluence score represents average agreement across timeframes
### Trading Applications:
**Entry Signals:**
- Look for high confluence (4-5 stars) across multiple timeframes in same direction
- Higher timeframe alignment provides stronger signal validation
- Use confluence percentage >75% for high-probability setups
**Risk Management:**
- Lower timeframe conflicts may indicate choppy conditions
- Neutral bias suggests ranging market - adjust position sizing
- Strong bias with high confluence supports larger position sizes
**Timeframe Harmony:**
- Short-term trades: Focus on 1m-1H alignment
- Swing trades: Emphasize 1H-Daily alignment
- Position trades: Prioritize Daily-Monthly confluence
## SCRIPT SETTINGS EXPLANATION
### Dashboard Settings:
- **Table Position**: Choose optimal location (Top Right recommended for most layouts)
- **Text Size**: Adjust based on screen resolution and preferences
- **Color Scheme**: Professional (default), Classic, Vibrant, or Dark themes
- **Background Color/Transparency**: Customize table appearance
### Timeframe Selection:
All timeframes optional - activate based on trading timeframe preference:
- **Lower Timeframes (1m-30m)**: Scalping and day trading
- **Medium Timeframes (1H-4H)**: Swing trading
- **Higher Timeframes (D-M)**: Position trading and long-term bias
### Indicator Parameters:
- **Fast EMA (Default: 9)**: Shorter period for trend sensitivity
- **Slow EMA (Default: 21)**: Longer period for trend confirmation
- **RSI Length (Default: 14)**: Standard momentum calculation period
- **MACD Settings (12/26/9)**: Standard MACD configuration for volatility analysis
### Alert Configuration:
- **Strong Signals**: Alerts when confluence >75% with clear directional bias
- **High Confluence**: Alerts when multiple timeframes strongly agree
- All alerts use `alert.freq_once_per_bar` to prevent spam
## VISUAL FEATURES
### Chart Elements:
- **Background Coloring**: Subtle background tint reflects overall market bias
- **Signal Labels**: Strong buy/sell labels appear on chart during high-confluence signals
- **Clean Presentation**: Dashboard overlays chart without interfering with price action
### Color Coding:
- **Green/Bullish**: Various green shades for positive signals
- **Red/Bearish**: Various red shades for negative signals
- **Gray/Neutral**: Neutral color for conflicting or weak signals
- **Transparency**: Configurable transparency maintains chart readability
## IMPORTANT USAGE NOTES
**Realistic Expectations:**
- This tool provides analysis framework, not trading signals
- Always combine with proper risk management
- Past performance does not guarantee future results
- Market conditions can change rapidly - use appropriate position sizing
**Best Practices:**
- Verify signals with additional analysis methods
- Consider fundamental factors affecting the instrument
- Use appropriate timeframes for your trading style
- Regular parameter optimization may be beneficial for different market conditions
**Limitations:**
- Effectiveness may vary across different instruments and market conditions
- Confluence scoring is mathematical model - not predictive guarantee
- Requires understanding of underlying indicators for optimal use
This script serves as a comprehensive analysis tool for traders who need quick, organized access to multi-timeframe market information with statistical confidence levels.
RSI Overbought/Oversold MTFRSI Overbought / Oversold MTF — Dashboard & Alerts
What it does
This script scans up to 13 symbols at once and shows their RSI readings on three lower‑time‑frames (1 min, 5 min, 15 min).
If all three RSIs for a symbol are simultaneously above the overbought threshold or below the oversold threshold, the script:
Prints the condition (“Overbought” / “Oversold”) in a color‑coded dashboard table.
Fires a one‑per‑bar alert so you never miss the move.
Key features
Feature Details
Multi‑symbol Default list includes BTC, ETH, SOL, BNB, XRP, ADA, AVAX, AVAAI, DOGE, VIRTUAL, SUI, ALCH, LAYER (all Binance pairs). Replace or reorder in the inputs.
Triple‑time‑frame check RSI is calculated on 1 m, 5 m, 15 m for each symbol.
Customizable thresholds Set your own RSI Period, Overbought and Oversold levels. Defaults: 14 / 70 / 30.
Color‑coded dashboard Top‑right table shows:
• Symbol name
• RSI 1 m / 5 m / 15 m (red = overbought, green = oversold, white = neutral)
• Overall Status column (“Overbought”, “Oversold”, “Mixed”).
Alerts built in Triggers once per bar whenever a symbol is overbought or oversold on all three time‑frames simultaneously.
Typical use cases
Scalp alignment — Enter when all short TFs agree on overbought/oversold extremes.
Mean‑reversion spotting — Identify stretched conditions across multiple coins without switching charts.
Quick sentiment scan — Glance at the dashboard to see where momentum is heating up or cooling down.
How to use
Add to chart (overlay = false; it sits in its own pane).
Adjust symbols & thresholds in the Settings panel.
Create alerts → choose “RSI Overbought/Oversold MTF” → “Any Alert() Function Call” to receive push, email, or webhook notifications.
Note: The script queries many symbols each bar; use on lower time‑frames only if your data limits allow.
For educational purposes only — not financial advice. Always test on paper before trading live.
High/Low mura visionDescription
High/Low mura vision plots static support and resistance lines based on the completed high and low values of the prior trading day, week and calendar month.
This script:
Anchors each level to the exact start and end bars of the completed period
Does not repaint or extend levels into the current period
Uses request.security() to retrieve only historical data (no lookahead)
This indicator was built to give traders clear, unambiguous reference points for breakout entries, pullback targets or confirmation of supply/demand zones without guessing where to draw manually.
How It Works
At the close of each daily candle, the script captures high and low via request.security() and draws flat lines spanning only that day’s bars.
Similarly, at the close of Friday’s weekly candle and the last bar of each calendar month, it draws the completed week’s and month’s high/low ranges.
All lines are deleted and redrawn only once per period completion, ensuring no forward painting or hidden repainting logic.
Key Features
No repaint: levels appear exactly once, immediately after the period closes
Period‑specific: lines confined to the bars of the prior day, week or month
Customizable: toggle each period on/off; choose independent colors, line styles (Solid, Dotted, Dashed) and width
Lightweight: minimal calculations for maximum performance on any timeframe
How to Use
Apply to any chart (M1 to MN).
In the Inputs panel, enable the levels you need: Yesterday, Last Week or Last Month.
Adjust High and Low line color, style and thickness to suit your chart layout.
Use these historic levels for support/resistance, breakout confirmation or confluence with other tools.
Inputs
Show Yesterday’s High: toggle yesterday’s high line
Show Yesterday’s Low: toggle yesterday’s low line
Show Last Week’s High: toggle last week’s high line
Show Last Week’s Low: toggle last week’s low line
Show Last Month’s High: toggle last month’s high line
Show Last Month’s Low: toggle last month’s low line
High Line Color / Low Line Color: choose colors for each set of lines
High Line Style / Low Line Style: select Solid, Dotted or Dashed
Line Width: adjust overall thickness
Disclaimer
This script is provided “as‐is” under the Public License. It is intended for educational and analytical purposes only and does not constitute trading or investment advice. Past performance does not guarantee future results. Always perform your own analysis and manage risk responsibly.
Ultimate Scalping Tool[BullByte]Overview
The Ultimate Scalping Tool is an open-source TradingView indicator built for scalpers and short-term traders released under the Mozilla Public License 2.0. It uses a custom Quantum Flux Candle (QFC) oscillator to combine multiple market forces into one visual signal. In plain terms, the script reads momentum, trend strength, volatility, and volume together and plots a special “candlestick” each bar (the QFC) that reflects the overall market bias. This unified view makes it easier to spot entries and exits: the tool labels signals as Strong Buy/Sell, Pullback (a brief retracement in a trend), Early Entry, or Exit Warning . It also provides color-coded alerts and a small dashboard of metrics. In practice, traders see green/red oscillator bars and symbols on the chart when conditions align, helping them scalp or trend-follow without reading multiple separate indicators.
Core Components
Quantum Flux Candle (QFC) Construction
The QFC is the heart of the indicator. Rather than using raw price, it creates a candlestick-like bar from the underlying oscillator values. Each QFC bar has an “open,” “high/low,” and “close” derived from calculated momentum and volatility inputs for that period . In effect, this turns the oscillator into intuitive candle patterns so traders can recognize momentum shifts visually. (For comparison, note that Heikin-Ashi candles “have a smoother look because take an average of the movement”. The QFC instead represents exact oscillator readings, so it reflects true momentum changes without hiding price action.) Colors of QFC bars change dynamically (e.g. green for bullish momentum, red for bearish) to highlight shifts. This is the first open-source QFC oscillator that dynamically weights four non-correlated indicators with moving thresholds, which makes it a unique indicator on its own.
Oscillator Normalization & Adaptive Weights
The script normalizes its oscillator to a fixed scale (for example, a 0–100 range much like the RSI) so that various inputs can be compared fairly. It then applies adaptive weighting: the relative influence of trend, momentum, volatility or volume signals is automatically adjusted based on current market conditions. For instance, in very volatile markets the script might weight volatility more heavily, or in a strong trend it might give extra weight to trend direction. Normalizing data and adjusting weights helps keep the QFC sensitive but stable (normalization ensures all inputs fit a common scale).
Trend/Momentum/Volume/Volatility Fusion
Unlike a typical single-factor oscillator, the QFC oscillator fuses four aspects at once. It may compute, for example, a trend indicator (such as an ADX or moving average slope), a momentum measure (like RSI or Rate-of-Change), a volume-based pressure (similar to MFI/OBV), and a volatility measure (like ATR) . These different values are combined into one composite oscillator. This “multi-dimensional” approach follows best practices of using non-correlated indicators (trend, momentum, volume, volatility) for confirmation. By encoding all these signals in one line, a high QFC reading means that trend, momentum, and volume are all aligned, whereas a neutral reading might mean mixed conditions. This gives traders a comprehensive picture of market strength.
Signal Classification
The script interprets the QFC oscillator to label trades. For example:
• Strong Buy/Sell : Triggered when the oscillator crosses a high-confidence threshold (e.g. breaks clearly above zero with strong slope), indicating a well-confirmed move. This is like seeing a big green/red QFC candle aligned with the trend.
• Pullbacks : Identified when the trend is up but momentum dips briefly. A Pullback Buy appears if the overall trend is bullish but the oscillator has a short retracement – a typical buying opportunity in an uptrend. (A pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : Marks an initial swing in the oscillator suggesting a possible new trend, before it is fully confirmed. It’s a hint of momentum building (an early-warning signal), not as strong as the confirmed “Strong” signal.
• Exit Warnings : Issued when momentum peaks or reverses. For instance, if the QFC bars reach a high and start turning red/green opposite, the indicator warns that the move may be ending. In other words, a Momentum Peak is the point of maximum strength after which weakness may follow.
These categories correspond to typical trading concepts: Pullback (temporary reversal in an uptrend), Early Buy (an initial bullish cross), Strong Buy (confirmed bullish momentum), and Momentum Peak (peak oscillator value suggesting exhaustion).
Filters (DI Reversal, Dynamic Thresholds, HTF EMA/ADX)
Extra filters help avoid bad trades. A DI Reversal filter uses the +DI/–DI lines (from the ADX system) to require that the trend direction confirms the signal . For example, it might ignore a buy signal if the +DI is still below –DI. Dynamic Thresholds adjust signal levels on-the-fly: rather than fixed “overbought” lines, they move with volatility so signals happen under appropriate market stress. An optional High-Timeframe EMA or ADX filter adds a check against a larger timeframe trend: for instance, only taking a trade if price is above the weekly EMA or if weekly ADX shows a strong trend. (Notably, the ADX is “a technical indicator used by traders to determine the strength of a price trend”, so requiring a high-timeframe ADX avoids trading against the bigger trend.)
Dashboard Metrics & Color Logic
The Dashboard in the Ultimate Scalping Tool (UST) serves as a centralized information hub, providing traders with real-time insights into market conditions, trend strength, momentum, volume pressure, and trade signals. It is highly customizable, allowing users to adjust its appearance and content based on their preferences.
1. Dashboard Layout & Customization
Short vs. Extended Mode : Users can toggle between a compact view (9 rows) and an extended view (13 rows) via the `Short Dashboard` input.
Text Size Options : The dashboard supports three text sizes— Tiny, Small, and Normal —adjustable via the `Dashboard Text Size` input.
Positioning : The dashboard is positioned in the top-right corner by default but can be moved if modified in the script.
2. Key Metrics Displayed
The dashboard presents critical trading metrics in a structured table format:
Trend (TF) : Indicates the current trend direction (Strong Bullish, Moderate Bullish, Sideways, Moderate Bearish, Strong Bearish) based on normalized trend strength (normTrend) .
Momentum (TF) : Displays momentum status (Strong Bullish/Bearish or Neutral) derived from the oscillator's position relative to dynamic thresholds.
Volume (CMF) : Shows buying/selling pressure levels (Very High Buying, High Selling, Neutral, etc.) based on the Chaikin Money Flow (CMF) indicator.
Basic & Advanced Signals:
Basic Signal : Provides simple trade signals (Strong Buy, Strong Sell, Pullback Buy, Pullback Sell, No Trade).
Advanced Signal : Offers nuanced signals (Early Buy/Sell, Momentum Peak, Weakening Momentum, etc.) with color-coded alerts.
RSI : Displays the Relative Strength Index (RSI) value, colored based on overbought (>70), oversold (<30), or neutral conditions.
HTF Filter : Indicates the higher timeframe trend status (Bullish, Bearish, Neutral) when using the Leading HTF Filter.
VWAP : Shows the V olume-Weighted Average Price and whether the current price is above (bullish) or below (bearish) it.
ADX : Displays the Average Directional Index (ADX) value, with color highlighting whether it is rising (green) or falling (red).
Market Mode : Shows the selected market type (Crypto, Stocks, Options, Forex, Custom).
Regime : Indicates volatility conditions (High, Low, Moderate) based on the **ATR ratio**.
3. Filters Status Panel
A secondary panel displays the status of active filters, helping traders quickly assess which conditions are influencing signals:
- DI Reversal Filter: On/Off (confirms reversals before generating signals).
- Dynamic Thresholds: On/Off (adjusts buy/sell thresholds based on volatility).
- Adaptive Weighting: On/Off (auto-adjusts oscillator weights for trend/momentum/volatility).
- Early Signal: On/Off (enables early momentum-based signals).
- Leading HTF Filter: On/Off (applies higher timeframe trend confirmation).
4. Visual Enhancements
Color-Coded Cells : Each metric is color-coded (green for bullish, red for bearish, gray for neutral) for quick interpretation.
Dynamic Background : The dashboard background adapts to market conditions (bullish/bearish/neutral) based on ADX and DI trends.
Customizable Reference Lines : Users can enable/disable fixed reference lines for the oscillator.
How It(QFC) Differs from Traditional Indicators
Quantum Flux Candle (QFC) Versus Heikin-Ashi
Heikin-Ashi candles smooth price by averaging (HA’s open/close use averages) so they show trend clearly but hide true price (the current HA bar’s close is not the real price). QFC candles are different: they are oscillator values, not price averages . A Heikin-Ashi chart “has a smoother look because it is essentially taking an average of the movement”, which can cause lag. The QFC instead shows the raw combined momentum each bar, allowing faster recognition of shifts. In short, HA is a smoothed price chart; QFC is a momentum-based chart.
Versus Standard Oscillators
Common oscillators like RSI or MACD use fixed formulas on price (or price+volume). For example, RSI “compares gains and losses and normalizes this value on a scale from 0 to 100”, reflecting pure price momentum. MFI is similar but adds volume. These indicators each show one dimension: momentum or volume. The Ultimate Scalping Tool’s QFC goes further by integrating trend strength and volatility too. In practice, this means a move that looks strong on RSI might be downplayed by low volume or weak trend in QFC. As one source notes, using multiple non-correlated indicators (trend, momentum, volume, volatility) provides a more complete market picture. The QFC’s multi-factor fusion is unique – it is effectively a multi-dimensional oscillator rather than a traditional single-input one.
Signal Style
Traditional oscillators often use crossovers (RSI crossing 50) or fixed zones (MACD above zero) for signals. The Ultimate Scalping Tool’s signals are custom-classified: it explicitly labels pullbacks, early entries, and strong moves. These terms go beyond a typical indicator’s generic “buy”/“sell.” In other words, it packages a strategy around the oscillator, which traders can backtest or observe without reading code.
Key Term Definitions
• Pullback : A short-term dip or consolidation in an uptrend. In this script, a Pullback Buy appears when price is generally rising but shows a brief retracement. (As defined by Investopedia, a pullback is “a brief decline or pause in a generally upward price trend”.)
• Early Buy/Sell : An initial or tentative entry signal. It means the oscillator first starts turning positive (or negative) before a full trend has developed. It’s an early indication that a trend might be starting.
• Strong Buy/Sell : A confident entry signal when multiple conditions align. This label is used when momentum is already strong and confirmed by trend/volume filters, offering a higher-probability trade.
• Momentum Peak : The point where bullish (or bearish) momentum reaches its maximum before weakening. When the oscillator value stops rising (or falling) and begins to reverse, the script flags it as a peak – signaling that the current move could be overextended.
What is the Flux MA?
The Flux MA (Moving Average) is an Exponential Moving Average (EMA) applied to a normalized oscillator, referred to as FM . Its purpose is to smooth out the fluctuations of the oscillator, providing a clearer picture of the underlying trend direction and strength. Think of it as a dynamic baseline that the oscillator moves above or below, helping you determine whether the market is trending bullish or bearish.
How it’s calculated (Flux MA):
1.The oscillator is normalized (scaled to a range, typically between 0 and 1, using a default scale factor of 100.0).
2.An EMA is applied to this normalized value (FM) over a user-defined period (default is 10 periods).
3.The result is rescaled back to the oscillator’s original range for plotting.
Why it matters : The Flux MA acts like a support or resistance level for the oscillator, making it easier to spot trend shifts.
Color of the Flux Candle
The Quantum Flux Candle visualizes the normalized oscillator (FM) as candlesticks, with colors that indicate specific market conditions based on the relationship between the FM and the Flux MA. Here’s what each color means:
• Green : The FM is above the Flux MA, signaling bullish momentum. This suggests the market is trending upward.
• Red : The FM is below the Flux MA, signaling bearish momentum. This suggests the market is trending downward.
• Yellow : Indicates strong buy conditions (e.g., a "Strong Buy" signal combined with a positive trend). This is a high-confidence signal to go long.
• Purple : Indicates strong sell conditions (e.g., a "Strong Sell" signal combined with a negative trend). This is a high-confidence signal to go short.
The candle mode shows the oscillator’s open, high, low, and close values for each period, similar to price candlesticks, but it’s the color that provides the quick visual cue for trading decisions.
How to Trade the Flux MA with Respect to the Candle
Trading with the Flux MA and Quantum Flux Candle involves using the MA as a trend indicator and the candle colors as entry and exit signals. Here’s a step-by-step guide:
1. Identify the Trend Direction
• Bullish Trend : The Flux Candle is green and positioned above the Flux MA. This indicates upward momentum.
• Bearish Trend : The Flux Candle is red and positioned below the Flux MA. This indicates downward momentum.
The Flux MA serves as the reference line—candles above it suggest buying pressure, while candles below it suggest selling pressure.
2. Interpret Candle Colors for Trade Signals
• Green Candle : General bullish momentum. Consider entering or holding a long position.
• Red Candle : General bearish momentum. Consider entering or holding a short position.
• Yellow Candle : A strong buy signal. This is an ideal time to enter a long trade.
• Purple Candle : A strong sell signal. This is an ideal time to enter a short trade.
3. Enter Trades Based on Crossovers and Colors
• Long Entry : Enter a buy position when the Flux Candle turns green and crosses above the Flux MA. If it turns yellow, this is an even stronger signal to go long.
• Short Entry : Enter a sell position when the Flux Candle turns red and crosses below the Flux MA. If it turns purple, this is an even stronger signal to go short.
4. Exit Trades
• Exit Long : Close your buy position when the Flux Candle turns red or crosses below the Flux MA, indicating the bullish trend may be reversing.
• Exit Short : Close your sell position when the Flux Candle turns green or crosses above the Flux MA, indicating the bearish trend may be reversing.
•You might also exit a long trade if the candle changes from yellow to green (weakening strong buy signal) or a short trade from purple to red (weakening strong sell signal).
5. Use Additional Confirmation
To avoid false signals, combine the Flux MA and candle signals with other indicators or dashboard metrics (e.g., trend strength, momentum, or volume pressure). For example:
•A yellow candle with a " Strong Bullish " trend and high buying volume is a robust long signal.
•A red candle with a " Moderate Bearish " trend and neutral momentum might need more confirmation before shorting.
Practical Example
Imagine you’re scalping a cryptocurrency:
• Long Trade : The Flux Candle turns yellow and is above the Flux MA, with the dashboard showing "Strong Buy" and high buying volume. You enter a long position. You exit when the candle turns red and dips below the Flux MA.
• Short Trade : The Flux Candle turns purple and crosses below the Flux MA, with a "Strong Sell" signal on the dashboard. You enter a short position. You exit when the candle turns green and crosses above the Flux MA.
Market Presets and Adaptation
This indicator is designed to work on any market with candlestick price data (stocks, crypto, forex, indices, etc.). To handle different behavior, it provides presets for major asset classes. Selecting a “Stocks,” “Crypto,” “Forex,” or “Options” preset automatically loads a set of parameter values optimized for that market . For example, a crypto preset might use a shorter lookback or higher sensitivity to account for crypto’s high volatility, while a stocks preset might use slightly longer smoothing since stocks often trend more slowly. In practice, this means the same core QFC logic applies across markets, but the thresholds and smoothing adjust so signals remain relevant for each asset type.
Usage Guidelines
• Recommended Timeframes : Optimized for 1 minute to 15 minute intraday charts. Can also be used on higher timeframes for short term swings.
• Market Types : Select “Crypto,” “Stocks,” “Forex,” or “Options” to auto tune periods, thresholds and weights. Use “Custom” to manually adjust all inputs.
• Interpreting Signals : Always confirm a signal by checking that trend, volume, and VWAP agree on the dashboard. A green “Strong Buy” arrow with green trend, green volume, and price > VWAP is highest probability.
• Adjusting Sensitivity : To reduce false signals in fast markets, enable DI Reversal Confirmation and Dynamic Thresholds. For more frequent entries in trending environments, enable Early Entry Trigger.
• Risk Management : This tool does not plot stop loss or take profit levels. Users should define their own risk parameters based on support/resistance or volatility bands.
Background Shading
To give you an at-a-glance sense of market regime without reading numbers, the indicator automatically tints the chart background in three modes—neutral, bullish and bearish—with two levels of intensity (light vs. dark):
Neutral (Gray)
When ADX is below 20 the market is considered “no trend” or too weak to trade. The background fills with a light gray (high transparency) so you know to sit on your hands.
Bullish (Green)
As soon as ADX rises above 20 and +DI exceeds –DI, the background turns a semi-transparent green, signaling an emerging uptrend. When ADX climbs above 30 (strong trend), the green becomes more opaque—reminding you that trend-following signals (Strong Buy, Pullback) carry extra weight.
Bearish (Red)
Similarly, if –DI exceeds +DI with ADX >20, you get a light red tint for a developing downtrend, and a darker, more solid red once ADX surpasses 30.
By dynamically varying both hue (green vs. red vs. gray) and opacity (light vs. dark), the background instantly communicates trend strength and direction—so you always know whether to favor breakout-style entries (in a strong trend) or stay flat during choppy, low-ADX conditions.
The setup shown in the above chart snapshot is BTCUSD 15 min chart : Binance for reference.
Disclaimer
No indicator guarantees profits. Backtest or paper trade this tool to understand its behavior in your market. Always use proper position sizing and stop loss orders.
Good luck!
- BullByte
Bitcoin Power Law OscillatorThis is the oscillator version of the script. The main body of the script can be found here.
Understanding the Bitcoin Power Law Model
Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship.
By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges.
In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term.
The Bitcoin Power Law has the following function:
Power Law = 10^(a + b * log10(d))
Consisting of the following parameters:
a: Power Law Intercept (default: -17.668).
b: Power Law Slope (default: 5.926).
d: Number of days since a reference point(calculated by counting bars from the reference point with an offset).
Explanation of the a and b parameters:
Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post.
Applying vertical shifts to generate the other lines:
Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept.
In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest):
Base Power Law Line (no shift)
1-year shifted line
2-year shifted line
3-year shifted line
4-year shifted line
5-year shifted line
The six power law lines:
Bitcoin Power Law Oscillator
This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) .
The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula:
normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line)
Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines.
Interpretation of the Bitcoin Power Law Model:
The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.).
By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame.
On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines.
In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples:
Example 1:
In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B(Note: Vertical yearly grid lines have been added for this purpose👍).
Example 2:
In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line.
Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe :
Example 3:
In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Apex Edge - Session Sweep ProApex Edge Session Sweep Pro
By Apex Edge | 2025 Edition
🔍 What is it?
The Apex Session Sweep Pro is a precision trading tool designed for identifying high-probability liquidity sweep entries during key global market sessions. It combines powerful sweep detection logic with dynamic candle colouring, session visualization, TP projections, and real-time alerts — all within a clean, performance-optimized Pine Script engine.
This is not your average session box indicator. This is Apex-grade.
⚙️ How it Works
The indicator detects session liquidity sweeps by tracking price action relative to previous session highs and lows. When a session high/low is swept (i.e., price breaches it and then closes in the opposite direction), it generates a signal:
Buy Signal → Price sweeps previous low and closes back above it
Sell Signal → Price sweeps previous high and closes back below it
Each session is boxed on the chart (Tokyo, London, New York, Sydney), color-coded, and dynamically labelled.
Upon detecting a valid sweep, the script:
Plots a small entry label (toggleable)
Projects up to 5 customizable TP levels
Coloured candles for visual trade direction
Alerts for Buy or Sell sweep signals (optional)
All elements are memory-managed and customizable to suit your trading style.
🧠 Key Features
✅ Smart Sweep Detection Logic
✅ Global Market Session Boxes (Custom Times)
✅ Toggleable Entry Labels + TP Levels
✅ Candle Colouring by Signal
✅ Manual TP input + TP toggles
✅ Real-time Alerts for Apex entries
🕒 Why Are My Sessions Offset?
Your chart’s time zone may be different from UTC. This script is UTC-based by design, so if your chart is set to UTC+1, for example, the sessions will appear one hour later. Either:
Adjust your chart to UTC or or Exchange for perfect alignment,
Or tweak the session input times manually.
🧰 Who is this for?
This tool is made for:
Intraday traders looking for sweeps into liquidity
SMC (Smart Money Concept) strategists
Forex, crypto, and indices traders
Anyone who uses session-based levels to define entries
Whether you scalp London or ride NY swings, this tool frames each session cleanly — and shows you where the traps are laid.
🚨 Disclaimer
This indicator is a technical tool, not financial advice. Use proper risk management. Past performance ≠ future results.
ORB Advanced Cloud Indicator & FIB's by TenAMTraderSummary: ORB Advanced Cloud Indicator with Alerts and Fibonacci Retracement Targets by TenAMTrader
This TradingView script is an advanced version of the Opening Range Breakout (ORB) indicator, enhanced with visual clouds and Fibonacci retracement/extension levels. It is designed to help traders identify key price levels and track price movements relative to those levels throughout the trading day. The script includes alert functionalities to notify traders when price crosses key levels and when Fibonacci levels are reached, which can serve as potential entry and exit targets.
Key Features:
Primary and Secondary Range Calculation:
The indicator calculates the primary range (defined by a start and end time) and optionally, a secondary range.
The primary range includes the highest and lowest prices during the designated time period, as well as the midpoint of this range.
The secondary range (if enabled) tracks another price range during a second time period, with its own high, low, and midpoint.
Visual Clouds:
The script draws colored clouds between the high, midpoint, and low of the opening range.
The upper cloud spans between the Opening High and Midpoint, while the lower cloud spans between the Midpoint and Opening Low.
Similarly, a second set of clouds can be drawn for the secondary range (if enabled).
Fibonacci Levels:
The script calculates Fibonacci retracement and extension levels based on the primary range (the difference between the Opening High and Opening Low).
Fibonacci levels can be used as entry and exit targets in a trading strategy, as these levels often act as potential support/resistance zones.
Fibonacci levels include standard values like -0.236, -0.382, -0.618, and positive extensions like 1.236, 1.618, etc.
Customizable Alerts:
Alerts can be set to trigger when:
The price crosses above the Opening High.
The price crosses below the Opening Low.
The price crosses the Opening Midpoint.
These alerts can help traders act quickly on important price movements relative to the opening range.
Customization Options:
The indicator allows users to adjust the time settings for both the primary and secondary ranges.
Custom colors can be set for the lines, clouds, and Fibonacci levels.
The visibility of each line and cloud can be toggled on or off, giving users flexibility in how the chart is displayed.
Fibonacci Levels Overview:
The script includes several Fibonacci retracement and extension levels:
Negative Retracements (e.g., -0.236, -0.382, -0.50, -0.618, etc.) are plotted below the Opening Low, and can act as potential support levels in a downtrend.
Positive Extensions (e.g., 1.236, 1.382, 1.618, 2.0, etc.) are plotted above the Opening High, and can act as potential resistance levels in an uptrend.
Fib levels can be used as entry and exit targets to capitalize on price reversals or breakouts.
Safety Warning:
This script is for educational and informational purposes only and is not intended as financial advice. While it provides valuable technical information about price ranges and Fibonacci levels, trading always involves risk. Users are encouraged to:
Paper trade or use a demo account before applying this indicator with real capital.
Use proper risk management strategies, including stop-loss orders, to protect against unexpected market movements.
Understand that no trading strategy, indicator, or tool can guarantee profits, and losses can occur.
Important: The creator, TenAMTrader, and TradingView are not responsible for any financial losses resulting from the use of this script. Always trade responsibly, and ensure you fully understand the risks involved in any trading strategy.
Multi Scanner Plot & Table V1Here's how to interpret each column in the table:
Price vs MAs:
What it shows: Where the current price is relative to the short-term (e.g., 20-period) and long-term (e.g., 50-period) Simple Moving Averages (SMAs) calculated on your current chart's timeframe.
Interpretation:
Above Both (Green background): Price is above both the short and long MAs. Generally considered a bullish sign for the current trend.
Below Both (Red background): Price is below both MAs. Generally considered a bearish sign.
Mixed (Gray background): Price is between the two MAs (e.g., above the short but below the long, or vice-versa). Indicates indecision or a potential trend change.
RSI Value:
What it shows: The actual numerical value of the Relative Strength Index (RSI) calculated on your current chart's timeframe.
Interpretation: Just the raw RSI number (e.g., 65.32). The background is always gray. You compare this value to standard overbought/oversold levels (like 70/30) or the levels defined in the script's inputs.
RSI Status:
What it shows: Interprets the RSI Value based on the Overbought/Oversold levels set in the script's inputs (default 70/30). Calculated on your current chart's timeframe.
Interpretation:
Overbought (Red background): RSI is above the overbought level (e.g., > 70). Suggests the asset might be due for a pullback or reversal downwards. Red indicates a potentially bearish condition.
Oversold (Green background): RSI is below the oversold level (e.g., < 30). Suggests the asset might be due for a bounce or reversal upwards. Green indicates a potentially bullish condition.
Neutral (Gray background): RSI is between the oversold and overbought levels.
Last Sig Price:
What it shows: The price level where the last "SIG NOW" Buy or Sell signal occurred on your current chart's timeframe.
Interpretation: Helps you see the entry price of the most recent short-term signal generated by this script. The background color matches the signal type: Green for the last Buy signal, Red for the last Sell signal. N/A if no signal has occurred yet.
SIG NOW:
What it shows: This is the main short-term signal generated by the script based on conditions on your current chart's timeframe. It combines the "Price vs MAs" status and specific RSI conditions (price must be above/below both MAs and RSI must be within a certain range defined in the inputs).
Interpretation:
BUY (Green background): The specific buy conditions are met right now. (Price above both MAs AND RSI is strong but not necessarily overbought).
SELL (Red background): The specific sell conditions are met right now. (Price below both MAs AND RSI is weak but not necessarily oversold).
NEUTRAL (Gray background): Neither the Buy nor the Sell conditions are currently met.
ALERT:
What it shows: Flags unusual volume activity on the current bar compared to the recent average volume (calculated on your current chart's timeframe).
Interpretation:
SPIKE (Yellow background, black text): Current volume is significantly higher than the recent average (defined by the Volume Spike Multiplier). Can indicate strong interest or a potential climax.
DUMP (Purple background): Current volume is significantly lower than the recent average (defined by the Volume Dump Multiplier). Can indicate fading interest.
NONE (Gray background): Volume is within the normal range for the lookback period.
SD$:
What it shows: The price level where the last Volume Spike or Dump occurred on your current chart's timeframe.
Interpretation: Shows the price associated with the most recent significant volume event. The background color indicates the type of the last event: Green if the last event was a Spike, Red if the last event was a Dump. N/A if no Spike/Dump has occurred yet.
BB Value (%B):
What it shows: This relates to Bollinger Bands, but specifically calculated on a Higher Timeframe (HTF) that you can set in the inputs (e.g., Daily BBs while viewing an Hourly chart). It shows the Bollinger Band Percent B (%B) value for that HTF. %B measures where the HTF closing price is relative to the HTF upper and lower bands.
Interpretation:
Value > 1: HTF price closed above the HTF upper Bollinger Band.
Value < 0: HTF price closed below the HTF lower Bollinger Band.
Value between 0 and 1: HTF price closed within the HTF Bollinger Bands (e.g., 0.5 is exactly on the middle band).
The background is always gray.
LTS (Long Term Signal):
What it shows: A signal derived only from the Higher Timeframe (HTF) Bollinger Bands.
Interpretation:
BUY (Green background): The HTF price closed above the HTF upper Bollinger Band (see BB Value > 1). Considered a strong bullish signal from the higher timeframe perspective.
SELL (Red background): The HTF price closed below the HTF lower Bollinger Band (see BB Value < 0). Considered a strong bearish signal from the higher timeframe perspective.
NEUTRAL (Gray background): The HTF price closed within the HTF Bollinger Bands.
How to Understand Bollinger Bands and Signals in this Context:
Bollinger Bands are primarily used for the Long Term Signal (LTS) column. This script calculates BBs on a higher timeframe (you choose which one, or it defaults to the chart's timeframe if left blank).
The "LTS" signal triggers:
A BUY when the price on that higher timeframe closes above its upper Bollinger Band. This often indicates strong momentum or a potential breakout.
A SELL when the price on that higher timeframe closes below its lower Bollinger Band. This often indicates strong negative momentum or a potential breakdown.
The "BB Value" column gives you the raw %B number from that same higher timeframe, showing you exactly where the price is relative to the bands (is it just barely above/below, or way outside?).
The script does not directly use Bollinger Bands from the current chart timeframe for the "SIG NOW" or other table signals. The main short-term signals ("SIG NOW") rely on Moving Averages and RSI on the current timeframe. The LTS provides a longer-term perspective using HTF Bollinger Bands.
In summary: Look at the table to quickly gauge:
Short-term trend (Price vs MAs).
Short-term momentum (RSI Status, SIG NOW).
Recent short-term entry points (Last Sig Price).
Current volume anomalies (ALERT).
Long-term strength/weakness based on HTF Bollinger Bands (LTS, BB Value).
Combine these pieces of information to get a more rounded view of the current market conditions according to this specific script's logic.
ICT Swiftedge# ICT SwiftEdge: Advanced Market Structure Trading System
**Overview**
ICT SwiftEdge is a powerful trading system built upon the foundation of ICTProTools' ICT Breakers, licensed under the Mozilla Public License 2.0 (mozilla.org). This script has been significantly enhanced by to combine market structure analysis with modern technical indicators and a sleek, AI-inspired statistics dashboard. The goal is to provide traders with a comprehensive tool for identifying high-probability trade setups, managing exits, and tracking performance in a visually intuitive way.
**Credits**
This script is a derivative work based on the original "ICT Breakers" by ICTProTools, used with permission under the Mozilla Public License 2.0. Significant enhancements, including RSI-MA signals, trend filtering, dynamic timeframe adjustments, dual exit strategies, and an AI-style statistics dashboard, were developed by . We express our gratitude to ICTProTools for their foundational work in market structure analysis.
**What It Does**
ICT SwiftEdge integrates multiple trading concepts to help traders identify and manage trades based on market structure and momentum:
- **Market Structure Analysis**: Identifies Break of Structure (BOS) and Market Structure Shift (MSS) patterns, which signal potential trend continuations or reversals. BOS indicates a continuation of the current trend, while MSS highlights a shift in market direction, providing key entry points.
- **RSI-MA Signals**: Generates "BUY" and "SELL" signals when BOS or MSS patterns align with the Relative Strength Index (RSI) smoothed by a Moving Average (RSI-MA). Signals are filtered to occur only when RSI-MA is above 50 (for buys) or below 50 (for sells), ensuring momentum supports the trade direction.
- **Trend Filtering**: Prevents multiple signals in the same trend, ensuring only one buy or sell signal per trend direction, reducing noise and improving trade clarity.
- **Dynamic Timeframe Adjustment**: Automatically adjusts pivot points, RSI, and MA parameters based on the selected chart timeframe (1M to 1D), optimizing performance across different market conditions.
- **Flexible Exit Strategies**: Offers two user-selectable exit methods:
- **Trailing Stop-Loss (TSL)**: Exits trades when price moves against the position by a user-defined distance (in points), locking in profits or limiting losses.
- **RSI-MA Exit**: Exits trades when RSI-MA crosses the 50 level, signaling a potential loss of momentum.
- Users can enable either or both strategies, providing flexibility to adapt to different trading styles.
- **AI-Style Statistics Dashboard**: Displays real-time trade performance metrics in a futuristic, neon-colored interface, including total trades, wins, losses, win/loss ratio, and win percentage. This helps traders evaluate the system's effectiveness without external tools.
**Why This Combination?**
The integration of these components creates a synergistic trading system:
- **BOS/MSS and RSI-MA**: Combining market structure breaks with RSI-MA ensures entries are based on both price action (structure) and momentum (RSI-MA), increasing the likelihood of high-probability trades.
- **Trend Filtering**: By limiting signals to one per trend, the system avoids overtrading and focuses on significant market moves.
- **Dynamic Adjustments**: Timeframe-specific parameters make the system versatile, suitable for scalping (1M, 5M) or swing trading (4H, 1D).
- **Dual Exit Strategies**: TSL protects profits during trending markets, while RSI-MA exits are ideal for range-bound or reversing markets, catering to diverse market conditions.
- **Statistics Dashboard**: Provides immediate feedback on trade performance, enabling data-driven decision-making without manual tracking.
This combination balances technical precision with user-friendly visuals, making it accessible to both novice and experienced traders.
**How to Use**
1. **Add to Chart**: Apply the script to any TradingView chart.
2. **Configure Settings**:
- **Chart Timeframe**: Select your chart's timeframe (1M to 1D) to optimize parameters.
- **Structure Timeframe**: Choose a timeframe for market structure analysis (leave blank for chart timeframe).
- **Exit Strategy**: Enable Trailing Stop-Loss (`useTslExit`), RSI-MA Exit (`useRsiMaExit`), or both. Adjust `tslPoints` for TSL distance.
- **Show Signals/Labels**: Toggle `showSignals` and `showExit` to display "BUY", "SELL", and "EXIT" labels.
- **Dashboard**: Enable `showDashboard` to view trade statistics. Customize colors with `dashboardBgColor` and `dashboardTextColor`.
3. **Trading**:
- Look for "BUY" or "SELL" labels to enter trades when BOS/MSS aligns with RSI-MA.
- Exit trades at "EXIT" labels based on your chosen strategy.
- Monitor the statistics dashboard to track performance (total trades, win/loss ratio, win percentage).
4. **Alerts**: Set up alerts for BOS, MSS, buy, sell, or exit signals using the provided alert conditions.
**License**
This script is licensed under the Mozilla Public License 2.0 (mozilla.org). The source code is available for review and modification under the terms of this license.
**Compliance with TradingView House Rules**
This publication adheres to TradingView's House Rules and Scripts Publication Rules. It provides a clear, self-contained description of the script's functionality, credits the original author (ICTProTools), and explains the rationale for combining indicators. The script contains no promotional content, offensive language, or proprietary restrictions beyond MPL 2.0.
**Note**
Trading involves risk, and past performance is not indicative of future results. Always backtest and validate the system on your preferred markets and timeframes before live trading.
Enjoy trading with ICT SwiftEdge, and let data-driven insights guide your decisions!
Liquidity Fracture DetectorThe Liquidity Fracture Detector is an advanced tool designed to identify micro-liquidity traps and structural fakeouts on intraday charts. These occur when the market appears to break out, only to quickly reverse — often triggered by stop hunts, inefficient fills, or manipulated order flow.
The script combines volume spikes, volatility anomalies, and price structure breaks to signal "fractures" — points where the market temporarily breaks its behavior, often followed by strong reversals or trend accelerations.
Detection logic in the script:
Volume spike greater than 2x the average (adjustable)
Volatility spike: candle range is > 1.5x the average
Extreme wicks: wick is larger than the candle body (a classic trap signal)
Structure break: price breaks previous high/low but closes back within the old range
Combine these elements → a “fracture” is marked
Visual representation:
Red background = potential bull trap (fake breakout to the upside)
Green background = potential bear trap (fake breakdown to the downside)
A label appears at each fracture: “Echo” with the number of previous hits
Ideal use cases:
Intraday trading (1m, 5m, 15m)
Crypto, indices, futures, and forex
Detecting reactive zones where the market takes a false direction
Confluence with S/R zones, order blocks, or liquidity pools
Fully customizable:
Volume and range sensitivity
Heatmap intensity
Toggle labels on/off
Note:
This script is intended to support discretionary analysis. It does not provide buy or sell signals and is not an automated strategy. Combine it with your own price action or order flow setup for optimal results.
Autofib Extensions | DTDHello trader comuunity!
I'm introducing another script that is part of my main day-trading strategy. We all know regardless of what strategy we use, we need to know what levels offer the least amount of risk to our trade entry and a great tool to anticipate how far a move might go or what level a move may retrace to are the Fibonacci Retracement and Extensions. This indicator combines both together, but with a twist.
The main elements of the script are:
1. Multiple Session High and Lows | Developing my first script led me to understand that measuring key times during each session provides understanding of the market's continuity. I have provided 3 "sessions' a user can define according to CST time where the script saves the high and low of that session window to produce the retracement and extensions from those plots. Currently, the levels are always plotted from low to high (with the 0 mark being the high) and negative values provided so the levels are consistent. You can toggle each session on or off.
2. Coloring Key Retracements / Extensions | I use a dark background for my charts so the default colors help me distinguish from other another indicator I use. Feel free to adjust the colors to your preference. I consider 3 different colors because of their significance. Retracements that you want to see continue fall back into the .50 to .618 level (this I consider the "Golden Zone"). While basic Elliott Wave Theory states a wave is completed near the 1.618 level (this I consider "Major Extensions"). Everything isn't noise, but minor levels in a larger sequence.
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Script Limitations
All of my scripts are made with the help of ChatGPT so there are going to be limitations. One current one that I have made progress on, but not fully is when you are viewing a timeframe where the candle doesn't start when a session window starts. On smaller timeframes like the 7-minute this is not an issue. However, on the hourly, if your session window starts at the half hour which the 3rd session default window does, the lines will not produce. I will hopefully have this rectified in the near future. I will open the script since none of this work is original in nature and I would love to see how others can create a better product. Also, this is mainly a futures trading tool. If you are using this on stocks you will find it not as useful if the session window is too wide since the script waits until the session window closes to calculate the extension values.
Cheers,
DTD
VNIndex Over 6.5% Downside Drop Indicator with TableOverview: The VNIndex 6.5% Downside Drop Indicator is a powerful tool designed to help traders and investors identify significant market drops on the VNIndex (or any other asset) based on a 6.5% downside threshold. This Pine Script® indicator automatically detects when the price of an asset drops by more than 6.5% within a single day, and visually marks those events on the chart.
Key Features:
6.5% Downside Drop Detection: Automatically calculates the daily percentage drop and identifies when the price falls by more than 6.5%.
Table Display: Displays the dates and corresponding percentage drops of all identified instances in a convenient table at the bottom right of the chart.
Markers: Red down-pointing markers are plotted above bars where the price drop exceeds the 6.5% threshold, making it easy to spot critical drop events at a glance.
Easy-to-Read Table: The table lists the date and drop percentage, updating dynamically as new drops are detected. This allows for easy tracking of significant downside moves over time.
How to Use:
Install the Script: Add this indicator to your TradingView chart.
Monitor Price Drops: The indicator will automatically detect when the price drops by over 6.5% from the previous close and display a marker on the chart and the table in the bottom right corner.
View the Table: The table displays the date and the percentage drop of each detected event, making it easy to track past significant moves.
Alerts: You can set an alert for 6.5% drops to receive notifications in real-time.
Customization Options:
The drop percentage threshold (6.5%) can be adjusted in the script to fit other market conditions or assets.
The table can be resized or styled based on user preference for better visibility.
Why Use This Indicator? This indicator is perfect for traders looking to spot large, significant price movements quickly. Large downside drops can signal potential market reversals or trading opportunities, and this tool helps you track such events effortlessly. Whether you're monitoring the VNIndex or any other asset, this indicator provides crucial insights into volatile price action, helping you make more informed decisions.
Open Source License: This indicator is open source and free to use under the Mozilla Public License 2.0. You are welcome to modify, distribute, and contribute to the project.
Contributions: Feel free to contribute improvements, fixes, or new features by creating a pull request. Let’s collaborate to make this indicator even better for the community!
