Hedge Fund Session Ranges [GMT+2] - Multi-Timezone TrackingOverview
This professional-grade tool is designed for institutional-style trading, specifically focusing on the Liquidity Cycles of the global markets. It allows traders to visualize key trading windows (Asia, Europe, and US) with precision, using a fixed GMT+2 offset—ideal for traders aligned with Middle Eastern or Eastern European timezones.
Key Features
Triple Session Tracking: Includes pre-defined windows for Asia, London Morning, and NY Afternoon.
Dynamic Box Scaling: Automatically calculates and visualizes the High/Low range of each session in real-time.
GMT+2 Optimization: Built-in timezone handling to ensure your charts align perfectly with local bank hours.
Clean Visuals: Minimalist design to avoid chart clutter, allowing for clear price action analysis.
Why Trade Sessions?
Institutional volume isn't distributed evenly throughout the day. By identifying the Asian Range (01:00-06:00), the London Open (10:00-12:00), and the NY Reversal/Trend (16:30-18:30), traders can identify "Liquidity Grabs" and "Expansion Phases" more effectively.
מחזורים
DarkFutures Where/How/WhenTesting - for 15min Gold scalps
It identifies 4hr Where, 30m How and 5min When sareas of trade, then gives a signal to buy/sell based on that trend and momentum information using 8/21 EAM and Vwaps.
Global M2 with correlation table, by Colin (No linear - Trader Qno more linear line
Now works perfectly CRYPTOCAP:BTC / $ eth chart
make sure that the time frame is set as daily
Pair Correlation Oscillator (Overlay)Pair Correlation Oscillator (Overlay)
Overview
This open-source TradingView indicator computes the Pearson correlation coefficient between the chart's instrument (Ticker A) and a user-selected instrument (Ticker B). The correlation is displayed as an oscillator within the range −1..+1:
+1 — perfect positive correlation
0 — no linear correlation
−1 — perfect inverse correlation
Key features
Default window: 500 bars (configurable)
Option to compute correlation on log returns (recommended for comparing different instruments)
Option to exclude the current unfinished bar (use previous completed bars only)
Overlaid line + histogram columns for immediate visual interpretation
Alert examples included (commented out) for high correlation thresholds
Inputs
Ticker 2 — the other instrument to compare against (Ticker 1 is always the chart symbol)
Correlation length — window in bars for the rolling correlation (default 500)
Use log returns — converts price series to log returns before correlation (recommended)
Exclude current bar — shift series by 1 to use only completed bars
How to use
Add the script to your chart and set Ticker 2 to the instrument you want to correlate with the chart symbol.
Choose Use log returns = true for price-to-price comparisons (it removes level bias).
Optionally enable Exclude current bar for more stable signals if you do not want the live unfinished bar affecting results.
Use the line/histogram and label shown on the chart to inspect correlation in real time.
Limitations & notes
Correlation measures linear relationship over the chosen window — non-linear relationships won't be captured.
Very different tickers (e.g., price scales, very low liquidity) may show noisy correlation; use returns and longer windows in such cases.
This indicator is for information/analysis only — not trading advice.
Solar Flares 2025 X & M Class This indicator plots vertical lines on your chart at the exact timestamps of the strongest solar flares recorded in 2025.
X-class flares are shown in light yellow
M-class flares are shown in light blue
All timestamps are based on the maximum intensity time of each flare (default timezone: UTC, adjustable in settings).
Features
Toggle X-class and M-class flares independently
Adjustable line width
Uses precise intraday timestamps (not daily approximations)
Designed as a timing overlay for market cycle research and event clustering
This tool is intended for exploratory and correlation analysis, allowing traders and researchers to visually compare periods of heightened solar activity with market behavior.
Data is hard-coded from the 2025 top solar flare catalog and loads once on script initialization for performance.
1of1 Trades Expected Ranges (Friday Close Calculator)Expected Ranges (Friday Close Calculator)
Expected Ranges is a simple, non-plotting calculator designed for weekly market preparation.
It uses the most recent Friday’s daily close as the base price and calculates an expected trading range for the upcoming week.
This indicator is intentionally built as a calculator only — it does not draw lines or zones on the chart. This ensures there is no bleed between symbols and allows traders to convert levels into permanent TradingView drawings (horizontal lines and shaded rectangles) that are stored per symbol in their account.
How It Works
Friday Close is automatically detected from the daily chart.
You input a single value for Expected Weekly Move.
The indicator calculates:
Upper Range = Friday Close + Expected Move
Lower Range = Friday Close − Expected Move
Values are displayed in a clean top-right panel for quick reference.
Session Open/Close Labels - SimpleSimple and Minimal Label that shows Tokyo and EU open and close times on the chart
Global Liquidity Index (Major Economies Only)This iteration represents a revised adaptation of QuantitativeAlpha ’s framework for measuring global liquidity. It enables clear visibility into the current state of global liquidity—a foundational driver of risk asset prices.
SPY 200SMA +4% Entry -3% Exit TQQQ/QLD/GLDM THREE PHASE STRATEGYWanted to take a look at all of the individual trades and provide a series of options to balance performance and risk. This post is expanding on my previous one - www.reddit.com
Here is the data and the backtesting splitting the strategy into three primary phases with multiple options and exact trade dates to help people easily backtest other combinations - docs.google.com (Three Tabs with the three phases)
If you just want my personal recommendations this would be what I will be using -
PHASE 1 (Strategy BUY signal triggers when SPY price crosses +4% over the SPY 200SMA) = 100% TQQQ
If trade lasts 366 days (Long Term Cap Gains) go to PHASE 2
If SPY price crosses below -3% SPY 200SMA go to PHASE 3
PHASE 2 (PHASE 1 lasts 366 days) = Deleverage and diversify into 50% QLD & 50% GLDM
PHASE 3 (Strategy SELL signal triggers when SPY price crosses -3% below the SPY 200SMA) = Defensive posture with 50% SGOV & 50% GLDM
As market degrades start selling SGOV and buying QQQ until 50% QQQ & 50% GLDM
TradingView Script for the THREE PHASE STRATEGY (imgur.com):
//
@version=
5
strategy("SPY 200SMA +4% Entry -3% Exit Strategy",
overlay=true,
default_qty_type=strategy.percent_of_equity,
default_qty_value=100)
// === Inputs ===
smaLength = input.int(200, title="SMA Period", minval=1)
entryThreshold = input.float(0.04, title="Entry Threshold (%)", step=0.01)
exitThreshold = input.float(0.03, title="Exit Threshold (%)", step=0.01)
startYear = input.int(1995, "Start Year")
startMonth = input.int(1, "Start Month")
startDay = input.int(1, "Start Day")
// === Time filter ===
startTime = timestamp(startYear, startMonth, startDay, 0, 0)
isAfterStart = time >= startTime
// === Calculations ===
sma200 = ta.sma(close, smaLength)
upperThreshold = sma200 * (1 + entryThreshold)
lowerThreshold = sma200 * (1 - exitThreshold)
// === Strategy Logic ===
enterLong = close > upperThreshold
exitLong = close < lowerThreshold
if isAfterStart
if enterLong and strategy.position_size == 0
strategy.entry("Buy", strategy.long)
if exitLong and strategy.position_size > 0
strategy.close("Buy")
// === 366-Day Marker Logic (Uninterrupted) ===
var
int
targetTime = na
// 1. Capture entry time only when a brand new position starts
if strategy.position_size > 0 and strategy.position_size == 0
targetTime := time + (366 * 24 * 60 * 60 * 1000)
// 2. IMPORTANT: If position is closed or a sell signal hits, reset the timer to "na"
if strategy.position_size == 0
targetTime := na
// 3. Trigger only if we are still in the trade and hit the timestamp
isAnniversary = not na(targetTime) and time >= targetTime and time < targetTime
// === Visuals ===
p_sma = plot(sma200, title="200 SMA", color=color.rgb(255, 0, 242))
p_upper = plot(upperThreshold, title="Entry Threshold (+4%)", color=color.rgb(0, 200, 0))
p_lower = plot(lowerThreshold, title="Exit Threshold (-3%)", color=color.rgb(255, 0, 0))
fill(p_sma, p_upper, color=color.new(color.green, 80), title="Entry Zone")
// Draw marker only if 366 days passed without a sell
if isAnniversary
label.new(bar_index, high, "366 DAYS - PHASE 2", style=label.style_label_down, color=color.yellow, textcolor=color.black, size=size.small)
// === Entry/Exit Labels ===
newOpen = strategy.position_size > 0 and strategy.position_size == 0
newClose = strategy.position_size == 0 and strategy.position_size > 0
if newOpen
label.new(x=bar_index, y=low * 0.97, text="BUY - PHASE 1", xloc=xloc.bar_index, yloc=yloc.price, color=color.lime, style=label.style_label_up, textcolor=color.black, size=size.small)
if newClose
label.new(x=bar_index, y=high * 1.03, text="SELL - PHASE 3", xloc=xloc.bar_index, yloc=yloc.price, color=color.red, style=label.style_label_down, textcolor=color.white, size=size.small)
200 SMA SPY Trading Range Bands Script:
//
@version=
5
indicator("200 SMA SPY Trading Range Bands", overlay=true)
// === Settings ===
smaLength = input.int(200, title="SMA Length")
mult1 = input.float(1.09, title="Multiplier 1 (9% Over)")
mult2 = input.float(1.15, title="Multiplier 2 (15% Over)")
// === Calculations ===
smaValue = ta.sma(close, smaLength)
line9Over = smaValue * mult1
line15Over = smaValue * mult2
// === Plotting ===
plot(smaValue, title="200 SMA", color=color.gray, linewidth=1, style=plot.style_linebr)
plot(line9Over, title="9% Over 200 SMA", color=color.rgb(255, 145, 0), linewidth=1)
plot(line15Over, title="15% Over 200 SMA", color=color.rgb(38, 1, 1), linewidth=2)
Dynamic Risk and RewardThe Dynamic Equity Projection (DEP Map) is an institutional-grade visual execution tool designed to automate risk-to-reward mapping directly on your chart. Unlike standard drawing tools, it is context-aware—calculating volatility and trend bias in real-time to provide a "live" projection of your trade's potential.Core Logic & Intelligence1. Trend-Filtered SentimentThe indicator uses a 200-period Exponential Moving Average (EMA) as a directional filter.Bullish Map: If the current price is above the EMA, the DEP Map projects a green "Long" zone.Bearish Map: If the price is below the EMA, it instantly flips to a red "Short" zone.This helps traders stay aligned with the primary market momentum, avoiding the trap of "trading against the tide."2. Volatility-Adaptive Risk (ATR)Rather than using arbitrary point distances, the DEP Map utilizes the Average True Range (ATR).It measures the market's "noise" level over the last 14 bars.The Stop Loss is set at a multiplier (default 1.5x) of this volatility, ensuring your stop is wide enough to survive market breathing but tight enough to maintain a high R:R.Technical FeaturesFeatureDescriptionProfessional BenefitProjection BoxA dynamic rectangle that extends into the "future" (right-side offset).Keeps the current price action clear while providing a visual goalpost for the trade.Persistent LogicUses advanced var object handling to prevent "ghosting" or label stacking.Ensures a clean, high-performance chart interface without clutter.R:R Equity LadderSegments the profit zone into specific milestones: 1.0, 2.0, 3.0, and the "Equity Target" (5.0).Allows for precise partial profit-taking and psychological target setting.Dashed SL LineA high-contrast red dashed line indicating the invalidation point.Provides an immediate visual cue of the trade's total risk.How to Use the DEP MapIdentify the Bias: Observe the color of the box. A green box suggests looking for buying opportunities; a red box suggests selling.Verify the Levels: The labels on the right edge of the box provide the exact price points for your Stop Loss and Take Profit orders.Execute & Manage:R:R 1.0: The "Safety Point." Many traders move their stop to breakeven here.R:R 2.0 - 3.0: The "Standard Exit." This is where the bulk of the trade's profit is usually captured.Equity Target: The "Home Run." Reserved for high-conviction trend extensions.
Takashi Kotegawa Dip Reversal StrategyYou can use this alongside my other indicator to see if a stock is good with the indicator.
FOCUS all in one (N-TABLOUH)It took me hours and hours to build this indicator
so it shows the important stuff we need to watch as traders! Here you see a price label with a countdown,
how much the asset has retraced from its high or low,
and the total session range.
You also get 4h separators to show the move, keeping you aware of the 4/8 or 12h window. Plus, there is a table showing the assets you want to trade so we don't have to go flip charts and waste time
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context
Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval.
📊 KEY FEATURES:
- 365-Day High/Low with percentage distance from current price
- Range Position indicator (0-100%) with color-coded zones
- Comparison vs 365-day average price
- ATR-based volatility assessment
- Automatic adaptation for new assets (uses available data)
- Clean, professional table (top-left position)
- Optional visual lines on chart
🎯 WHAT IT SHOWS:
1. 365D High - Highest price in period + % below current
2. 365D Low - Lowest price in period + % above current
3. Range Position - Where price sits in the range:
• 🟢 Very Low (0-20%): Strong buy zone
• 🟢 Low (20-40%): Bullish territory
• 🟡 Mid (40-60%): Neutral zone
• 🟠 High (60-80%): Bearish territory
• 🔴 Very High (80-100%): Strong sell zone
4. vs 365D Average - Distance from mean (reversion signal)
5. Volatility - ATR as % of price (Low/Medium/High)
💡 USE CASES:
- Quick assessment of support/resistance zones
- Identify overbought/oversold conditions
- Mean reversion trading opportunities
- Risk assessment via volatility levels
- Works on ALL timeframes (always uses daily data)
- Perfect for new listings (auto-adjusts to available history)
⚙️ SETTINGS:
- Adjustable lookback period (30-730 days)
- Toggle high/low/average lines on chart
- White background optimized table
Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
Kotegawa Dip ReversalTakashi Kotegawa trading indicator
it is meant to buy cheap japanese stocks when they are below vwap
Smart money PSP with color themesPSP with Color Themes — Price Strength Parity Indicator
PSP with Color Themes is a visual correlation indicator designed to detect Price Strength Parity (PSP) between the current chart symbol and a reference symbol.
It highlights candles where price behavior between two correlated instruments diverges or aligns, which is often used in SMT (Smart Money Technique) and intermarket analysis.
The indicator works directly on the chart and colors candles when a PSP condition is detected, using flexible and customizable color themes.
📌 What Is PSP (Price Strength Parity)?
PSP identifies situations where two correlated assets:
Move in opposite directions → Direct PSP (classic SMT divergence)
Move in the same direction → Inverse PSP (confirmation mode)
Such behavior often precedes:
Reversals
Continuations
Liquidity grabs
Market structure shifts
⚙️ Indicator Inputs
Reference Symbol
Defines the second asset used for comparison (e.g., ETHUSDT vs BTCUSDT).
Purpose:
To detect relative strength or weakness between two correlated markets.
Inverse Correlation Mode
Inverse Correlation Mode (true / false)
Allows switching between divergence-based and confirmation-based analysis.
Color Theme
Available presets:
Green / Red
Blue / Orange
Purple / Yellow
Teal / Pink
Custom
Purpose:
Adapts the indicator visually to different chart styles and backgrounds.
📈 How to Use in Trading
Typical use cases:
SMT divergence detection
Intermarket confirmation
Reversal timing
Liquidity sweep context
SMC / ICT models
Recommended combinations:
Market Structure (BOS / CHoCH)
Fair Value Gaps
Liquidity levels
Session highs /lows
⚠️ Important Notes
PSP is context-based, not a standalone entry system
Best results on correlated markets:
BTC / ETH
Indices (ES / NQ / YM)
FX pairs (EURUSD / DXY)
Institutional Structure [Clean Pro]Institutional Structure — Script Explanation
This script is designed to map institutional market behavior using high-timeframe structure, not retail noise.
It focuses on where smart money acts, not on frequent signals.
🔹 1. High-Timeframe Support & Resistance (HTF S/R)
The script identifies major structural highs and lows using a higher lookback period.
Purpose:
Defines where institutions previously distributed or accumulated
Acts as natural decision zones
Filters out low-quality intraday levels
Why it matters:
Institutions trade from key HTF levels, not random support/resistance.
🔹 2. Equilibrium (50% Mean Price)
The equilibrium line represents the fair price between HTF high and low.
How it’s used:
Below equilibrium → discount zone (buy interest)
Above equilibrium → premium zone (sell interest)
Professional insight:
Smart money prefers buying discounts and selling premiums, not chasing price.
🔹 3. Market Structure Shift (MSS)
Instead of frequent BOS labels, the script detects true directional shifts.
Bullish MSS:
Price closes above previous HTF high
Bearish MSS:
Price closes below previous HTF low
Why MSS over BOS:
MSS confirms control change
Reduces false signals
Aligns with institutional execution logic
🔹 4. Liquidity Sweep Detection (Wick-Based)
The script identifies stop-hunt behavior using wick rejection logic.
Buy-side liquidity:
Wick above HTF high, but close back below
Sell-side liquidity:
Wick below HTF low, but close back above
Meaning:
Stops were triggered, but price failed to accept → smart money absorption
🔹 5. Fair Value Gap (FVG) – Refined Imbalance
Fair Value Gaps highlight inefficient price movement.
Bullish FVG:
Price leaves an upside imbalance
Bearish FVG:
Price leaves a downside imbalance
How pros use it:
As reaction zones, not entry signals
Best combined with liquidity + MSS
🔍 How Everything Works Together
The script is context-based, not signal-based:
1️⃣ HTF structure defines the battlefield
2️⃣ Liquidity is taken (stop hunts)
3️⃣ MSS confirms direction
4️⃣ FVG offers precision
5️⃣ Equilibrium filters bias
This creates high-probability trade environments, not overtrading.
📌 Best Practices (Professional Use)
Timeframes: 1H / 4H / Daily
Avoid lower TF noise
Trade only after liquidity is taken
Use FVG as confirmation, not trigger
Respect equilibrium bias
🎯 Summary
✔ Clean institutional logic
✔ No clutter, no spam
✔ HTF-driven decisions
✔ Liquidity-first mindset
✔ Designed for BTC, Gold & FX
🧠 Trade where institutions trade — not where indicators flash.
SPY Quant ML + Session Filter Strategy [CocoChoco]S&P 500 Quant: Machine Learning & Mean Reversion (Session-Filtered)
Overview
This is a professional-grade quantitative strategy designed specifically for the S&P 500. It combines classical statistical mean reversion (Z-Score) with a modern Machine Learning filter and rigorous institutional-grade risk management.
The strategy is optimized for traders who prioritize high win rates and capital preservation, specifically avoiding the "gap risk" associated with holding positions overnight.
Core Methodology
1. Statistical Entry (The Z-Score Engine)
The strategy identifies "oversold" conditions in a bullish context. It calculates the Z-Score of the price relative to its 20-period Mean (SMA). By default, it looks for a -1.2 Standard Deviation extension, signaling a high-probability "dip" ripe for a snap-back to the mean.
2. Trend & ML Filters
To avoid "catching a falling knife," the strategy uses two layers of confirmation:
Trend Filter: Only takes Long positions when the price is above the 200-period SMA, ensuring we only buy dips in a confirmed uptrend.
ML Correlation Filter: A Machine Learning-inspired module that analyzes the correlation between RSI and Volatility (ATR). It only permits entries when market internal dynamics suggest a reversal is technically "healthy."
3. Institutional Risk Management
This script is built for "safety-first" automation:
Hard Stop Loss: Fixed at 1.5% to protect against sudden market shocks.
Active Trailing: A dual-trigger trailing stop. It activates once the price touches the 20 SMA (The Mean) OR once a trade reaches a 0.50% profit threshold. This ensures near-winners are protected and large runners are captured.
Intraday Circuit Breaker: Includes a Max Daily Drawdown (2%) limit. If hit, the script automatically closes losing positions and halts trading for the day, while allowing winning positions to continue.
Key Features
Session-Specific: Tailored for the US Trading Session (UTC/NY times).
Zero Overnight Risk: Automatically flattens all positions before the market close (16:00 NY Time).
Holiday Intelligence: Hard-coded logic for US Market Holidays and Early Closes (2026–2028), ensuring the bot doesn't get stuck in illiquid holiday markets.
Hourly Entry Cap: Limits entries to one per hour to prevent over-concentration during a single price leg.
How to Use
Timeframe: I suggest you use it on the 5-minute or 1-hour timeframe for optimal results.
Instrument: Designed for the S&P 500, but highly effective on SPY, IVV, and ES (Futures).
Pyramiding: Designed to handle up to 3 concurrent positions, allowing the strategy to scale into a move as the Z-Score deepens.
Automation Ready
This script is fully compatible with webhook-based automation tools. All signals (Entry, SL, Trail, Market Close, and Daily Limit) are clearly labeled in the Alert comments for seamless execution. I haven't tasted it though. This is not financial advice. Please perform your own tests and manage your risk.
Disclaimer
Past performance does not guarantee future results. This script is a tool for quantitative analysis and should be used as part of a broader diversified trading plan.
PowerDays - Day of the Week HUDDescription: Midnight HUD & Daily Session Dividers
This indicator is designed to provide a clean, "Heads-Up Display" (HUD) for daily session tracking. It solves the common problem of cluttered charts by pinning the days of the week to the top of the chart window in a perfectly horizontal line, ensuring they remain visible and aligned regardless of price volatility or vertical scrolling.
Key Features:
Strict Midnight Dividers: Unlike standard "New Day" indicators that trigger at the exchange open (which can be 6:00 PM for some futures or forex pairs), this indicator plots a vertical dashed line at exactly 00:00 based on your chart's time zone.
Centered HUD Labels: Days of the week (MONDAY, TUESDAY, etc.) are plotted in a level horizontal row at the top of the pane. Labels are mathematically centered between midnight dividers to provide a clear visual of the current trading day’s range.
"Error-Proof" Architecture: Built using primitive plotting methods to avoid common Pine Script "Undeclared Identifier" errors, ensuring high compatibility across different TradingView versions and devices.
Fully Customizable: Includes a built-in color picker to adjust the Royal Blue labels and session dividers to match your specific chart theme.
US30 AsianRange 1900-0000 LIMIT OCO (1pct risk) 120 fib 30/150asian sweep at the 120 fib, aiming for 150 pips long and short buy limits set, once one is hit for the day cancel the opposite limit straight away
BTC - NMI: Network Metabolism IndexBTC - Network Metabolism Index (NMI) | RM
Concept & Background
The Network Metabolism Index (NMI) is a fundamental valuation model that treats Bitcoin as a biological organism. While price is the "face" of the asset, the NMI measures its "internal organs"—specifically its physical security and its social circulation.
Computational Logic: The Assembly Line
To arrive at the final NMI score, the indicator follows a rigorous four-step deterministic process:
• Step 1: Metric Selection: We ingest three high-fidelity data streams from Glassnode. Difficulty (Security), Active Addresses (Utility), and Market Cap (Price).
• Step 2: Fair Value Proxy (FVP) Computation: We calculate the network's intrinsic strength using a modified Metcalfe Law. We square the Active Addresses to account for network effect growth and multiply it by the Square Root of Difficulty to weight the value by physical security.
• Step 3: Log-Ratio Normalization: Because the FVP represents astronomical values of physical and social work, we calculate the Natural Logarithm of the Market Cap divided by the FVP . This places the data into a usable, though deep-negative, "dimensionless" territory.
• Step 4: Denoising & Banding: We apply a 14-day Least Squares Moving Average (LSMA) to the result to strip away daily volatility. Finally, we wrap the curve in 1.5 Standard Deviation bands to identify statistical "Fever" (Overvalued) and "Starvation" (Undervalued) zones.
The Y-Axis is measured in Nats (Natural Logarithmic Units). Important: Users should treat these units as dimensionless . Because the fundamental proxies for security and utility are so mathematically dominant, the resulting values reside in a negative logarithmic territory . The absolute numerical value is secondary to the morphology of the curve and its position relative to the dynamic Sigma bands.
Core Features / User Inputs
• LSMA Denoising: A linear regression filter to reveal structural trends.
• Dynamic Sigma Bands: 365-day rolling bands that adapt to Bitcoin's maturing market cycle.
• Regime Audit Dashboard: Real-time classification of the network state.
How to Read The Chart
• Metabolic Starvation (Blue Zone): Security and utility are significantly higher than price reflects. A generational value opportunity.
• Metabolic Fever (Red Zone): Price is over-extended relative to the network's biological reality.
• Neutral (Grey): Price and health are in a sustainable balance.
Data Feed Disclaimer
This indicator requires access to the Glassnode professional data feeds (Difficulty, Active Addresses, and Market Cap). Users without a valid subscription to these alternative data sets will not see the oscillator render. This script is intended for macro analysis; it is not financial advice.
General Disclaimer
This indicator is a mathematical model based on historical on-chain data. It is intended for educational purposes and macro analysis. On-chain metrics are lagging by nature and should be used in conjunction with a robust risk management strategy. This is not financial advice.
Tags
Rob Maths, Rob_Maths, robmaths, Bitcoin, OnChain, Glassnode, FundamentalAnalysis, MetcalfeLaw, Quant, Macro, Difficulty, ActiveAddresses, ValuationModel, NetworkMetabolism
Scalping V5 - Strongest S/R & Predictive PanelScalping V5: Predictive Momentum & Institutional S/R by Herman Sangivera ( Papua )
Overview
Scalping V5 is a high-precision momentum indicator designed for lower timeframe traders (1m, 5m, 15m) who require a blend of trend-following logic and real-time structural analysis. Unlike standard indicators that only look at price action, this script utilizes a Dual-EMA Ribbon for momentum, a 200-period Filter for institutional bias, and a Predictive Probability Panel to gauge the strength of a potential move.
Key Features
1. Smart Momentum Ribbon (EMA 12/36)
The core of the strategy uses a dynamic ribbon.
Blue Ribbon: Indicates aggressive bullish momentum.
Red Ribbon: Indicates aggressive bearish momentum.
Traders should look for "Value Area" entries when the price retraces into the ribbon before continuing the trend.
2. Institutional Trend Guard (EMA 200)
To avoid "choppy" markets and counter-trend traps, the script plots a thick white baseline.
Above 200 EMA: Only Long setups are prioritized.
Below 200 EMA: Only Short setups are prioritized.
3. Dynamic Support & Resistance (S/R)
The script automatically calculates the Strongest Resistance (Highest High) and Strongest Support (Lowest Low) based on a 50-period lookback. This helps scalpers identify immediate "walls" in the market to set realistic Take Profit (TP) and Stop Loss (SL) levels.
4. Predictive Analytics Dashboard
The real-time panel in the top right provides:
Strategy State: Detects if the market is breaking out or consolidating.
Probability Score: A weighted calculation (smoothed by SMA) that determines the likelihood of the next move based on trend alignment.
Actionable Recommendation: Flashes "STRONG BUY" or "STRONG SELL" only when momentum and distance-to-target are optimal.
How to Trade with Scalping V5
Long Entry: Price must be above the EMA 200. Wait for the Ribbon to turn Blue and the Dashboard to display a Probability Up > 65%. Ensure there is enough "room" to the Red Resistance line.
Short Entry: Price must be below the EMA 200. Wait for the Ribbon to turn Red and the Dashboard to display a Probability Down > 65%. Ensure there is room to the Green Support line.
Exit Strategy: Take profits at the S/R levels or when the price closes back inside the EMA Ribbon.
Settings & Optimization
EMA 12/36: Optimized for Scalping. Increase to 20/50 for Day Trading.
Lookback S/R: Set to 50 for intraday levels; increase to 100 for more "significant" swing levels.
Overlay: This indicator is designed to be used directly on the price chart.
Disclaimer: Scalping involves significant risk. This tool is designed to assist your analysis and should be used in conjunction with proper risk management and price action confirmation.
Compression Dashboard & EMA Tracker by Herman Sangivera (Papua)Compression & EMA Probability Tracker By Herman Sangivera ( Papua )
Overview
The Compression & EMA Probability Tracker is a specialized price action tool designed to identify "Compression" (CP) zones—areas where price volatility narrows, and liquidity is systematically cleared. These zones often precede explosive breakouts or sharp reversals.
By integrating EMA 9 (Fast) and EMA 21 (Slow), this indicator analyzes the current trend momentum within the compression box and provides a real-time probability assessment of whether the market is likely to continue its trend or undergo a reversal.
How It Works
Compression Detection: Using a lookback period and an ATR-based threshold, the script automatically highlights periods of low volatility with a gray background box. This represents the "coiling" effect of the market.
Trend Alignment (EMA 9/21): * If EMA 9 > EMA 21 and price remains above them, the trend is considered bullish.
If EMA 9 < EMA 21 and price remains below them, the trend is considered bearish.
Real-Time Dashboard: A sleek on-chart panel displays:
Current Status: Identifies Rally, Drop, or Reversal warnings.
Continuation Probability (%): Likelihood of the current trend resuming after the breakout.
Reversal Probability (%): Likelihood of a trend change based on EMA crossovers inside the box.
Key Features
Automatic Box Plotting: Visually defines the range of the compression.
Dynamic Dashboard: High-visibility panel showing trend strength and probabilities.
Highly Customizable: Adjust EMA lengths, ATR sensitivity, and dashboard position to fit your trading style.
How to Trade with this Indicator
Trend Continuation: Look for a breakout in the direction of the EMA alignment (e.g., price breaks above the box while EMA 9 is above EMA 21). This is high-probability when the dashboard shows >70% Trend Probability.
Reversal: Watch for the price to cross back into the box and for the EMA 9 to cross the EMA 21. This shift in momentum often signals a trap or a trend exhaustion.
Disclaimer: This indicator is for educational and analytical purposes only. Trading involves significant risk, and past performance (probabilities) does not guarantee future results. Always use proper stop-loss management.






















