ETH Scalper Version 1.0Ethereum Scalper across various timeframes. Uses ATR for TP and SL. Scalps based on volume.
Cicli
MB Notes + Custom ATR + EMA✅ MB Notes Panel (Top-Right)
Manually input and display your personal market bias notes:
E-MB, V-MB, and C-MB represent different timeframe-based market biases.
Customizable labels and values let you align your plan across multiple sessions.
Table is visually padded lower on screen for better chart visibility.
✅ Custom ATR Monitor (Bottom-Right)
Track Average True Range (ATR) across two selectable timeframes:
Choose from presets like 5m, 30m, 1H, 4H, Daily, Weekly, etc.
Gives you an instant read on volatility trends from multiple perspectives.
✅ Dynamic Triple MA Overlay
Plot three flexible moving averages with full control:
Set custom length, source (close, high, low, etc.), and type (EMA or SMA) for each.
Time CyclesThese are ICT market time cycles based on the idea that London starts at 3:30am (EST) and continues until 7am. NYAM is then from 7am-11:30am. NYPM from 11:30-4pm. Each of these sessions is broken into 90minute cycles which are also broken into 30minute cycles.
ETH Scalper Version 1.0ETH Scalper Version 1.0 - Uses Volume pressure to gauge quick scalping entries. TP and SL based on ATR.
MB Notes + Custom ATR + EMA✅ Features
✅ MB Notes Panel (Top-Right Table):
Manually enter and display your personal market bias notes (E-MB, V-MB, C-MB) directly on the chart. Perfect for keeping directional context or tracking bias across multiple sessions.
✅ Custom ATR Display (Bottom-Right Table):
Displays two ATR values from different timeframes of your choice. Select from a dropdown menu (e.g., 30min, 1H, 4H, Daily) to assess volatility at multiple levels.
✅ Triple MA Overlay:
Includes three fully customizable moving averages:
Choose length, source (close, high, low, etc.), and type (EMA or SMA) for each.
Plots them directly on the price chart for fast trend tracking.
Time Block with Current K-Line TimeTiltle:
Time Block and Current K-line Time
Core Functions:
1. This indicator provides traders with a powerful time analysis tool to help identify key time nodes and market structures. Generally speaking, the duration of a market trend is a time block
2. Multiple time zone support, supporting five major trading time zones: Shanghai, New York, London, Tokyo, and UTC, and adaptive time display in the selected time zone
3. Time block visualization: select the time block length according to the observation period, and draw a separator line at the time block boundary
4. Real-time time display: current K-line detailed time (year/month/day hour: minute week)
5. Future time prediction, the next time block starts at the future dividing line, and the countdown function displays the time to the next block, which is used to assist in judging the remaining duration of the current trend
Usage Scenarios:
Day trading: Identify trading day boundaries (1-day blocks)
Swing trading: Grasp the weekly/monthly time frame conversion (1-week/1-month blocks)
Long-term investment: Observe the annual market cycle (1-year blocks)
Cross-time zone trading: Seamlessly switch between major global trading time zones
——————————————————————————————————————————————————————————
标题:
时间区块与当前K线时间
核心功能:
1. 本指标为交易者提供强大的时间分析工具,帮助识别关键时间节点和市场结构,通常而言,一段行情持续的时间为一个时间区块
2. 多时区支持,支持上海、纽约、伦敦、东京、UTC五大交易时区,自适应所选时区的时间显示
3. 时间区块可视化:根据观测周期选择时间区块长度,在时间区块边界绘制分隔线
4. 实时时间显示:当前K线详细时间(年/月/日 时:分 星期)
5. 未来时间预测,下一个时间区块开始位置显示未来分割线,倒计时功能显示距离下个区块的时间,用于辅助判断当前趋势的剩余持续时间
使用场景:
日内交易:识别交易日边界(1日区块)
波段交易:把握周/月时间框架转换(1周/1月区块)
长期投资:观察年度市场周期(1年区块)
跨时区交易:无缝切换全球主要交易时区
Bottom hunterBottom hunter Indicator is a technical analysis tool designed to identify potential low points (bottoms) in the market where price reversals may occur.it detects buy signals when momentum shifts upward from market lows. This helps traders spot high-probability entry points for bullish reversals. The indicator displays clear visual cues on the chart (e.g., green triangles) marking these bottoms, enabling better timing of trades. It is useful for recognizing early reversal zones and improving market entry decisions.
zSph x Larry Waves Wave Degree TimingElliott Waves are fractal structures governed by time. The categorization of time in relation to Elliott Wave is named ‘Wave Degree’.
All waves are characterized by relative size called degree. The degree of a wave is determined by its size and position relative to lesser waves (smaller time and size), corresponding waves (similar time and size) and encompassing waves (greater time and size).
Elliott named 9 degrees (Supercycle – Subminuette).
Elliott also stated the Subminuette degree is discernable on the HOURLY chart.
# Concept
BINANCE:BTCUSDT
Degree is governed by Time yet it is not based upon time lengths (or price lengths), rather it is based on form and structure – a function of both price and time.
The precise degree may not be identified in real time, yet the objective is to be within +/- 1 standard deviation of the expected degree to be aware of the overall market progression.
Understanding degree helps in the identification of when an impulse or a correction is nearing completion and to be aware of the major pivot in price action to occur as a result of the completion of a major expansion or major retracement and be aware of when major pivots in price relating to major expansions and major retracements by managing expectations from a time perspective.
*Important to understand* : If price is currently in a Wave Degree Extension or a Very Complex Correction, the wave degree timings will be distorted (extended in time).
Example: A Cycle typically lasts a few years - yet can last a decade(s) in an Extension.
It’s best to keep the analysis on the Minute/Minuette timeframe to manage timing expectations yet always refer back to the Higher Time Frame Structure.***
# Correct Usage
BEFORE PLACING THE ANCHOR TO DISPLAY ZONES:
Completion of prior wave structure should be completed and there needs to be confirmation the next wave structure is in progression, such as a change in market structure.
Anchor :
Best to anchor on the higher time frame to ensure you always have the anchor point defined when you scale down/move down in the timeframes.
Ensure the anchor point is placed at the termination of a structure/beginning of a new structure (Generally they will be price extremes – extreme highs and lows)
Zones :
Minimum Zones : The minimum amount of time of completion for a single wave structure to complete for a degree.
Average Zones : The average amount of time of completion for a single wave structure to complete for a degree.
Maximum Zones : The general maximum amount of time of completion for a single wave structure to complete for a degree.
Wave Degree Timeframe Analysis :
Higher-Level Degrees (Primary, Intermediate, Minor) - Utilize on H4+ timeframe
Lower-Level Degrees (Minute, Minuette, Subminuette) – Utilize on 15M to H4 timeframe
Micro-Level Degrees (Micro and Submicro) – Utilize on timeframes less than 15M
(There is a chart in the settings you can toggle on/off that reiterates this as well.)
# Settings
Y-Axis Offset :
It is a scale relative to the asset being viewed. Example:
- If using on Bitcoin, Bitcoin moves on average $1,000 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 4 nominal values to offset it correctly to view easier on the chart as needed.
- If using on SP500, SP500 moves on average $50-100 of dollars up or down (on the Y-Axis), therefore it would be relevant to use values with 2 or 3 nominal values to offset it correctly to view easier on the chart as needed.
Extend :
This option allows to extend lines for the borders of the zones towards price action.
US Macro Indicators (CPI YoY, PPI YoY, Interest Rate)US Macro Indicators (CPI YoY, PPI YoY, Interest Rate)
This indicator overlays the most important US macroeconomic trends for professional traders and analysts:
CPI YoY (%): Tracks year-over-year change in the Consumer Price Index, the main measure of consumer inflation, and a core focus for Federal Reserve policy.
PPI YoY (%): Shows year-over-year change in the Producer Price Index, often a leading indicator for future consumer inflation and margin pressures.
Fed Funds Rate (%): Plots the US benchmark interest rate, reflecting the real-time stance of US monetary policy.
Additional Features:
Key policy thresholds highlighted:
2% (Fed’s formal inflation target)
1.5% (comfort floor)
3% and 4% (upper risk/watch zones for inflation)
Transparent background shading signals elevated inflation zones for quick visual risk assessment.
Works on all asset charts and timeframes (macro data is monthly).
Why use it?
This tool lets you instantly visualize inflation trends versus policy and spot key macro inflection points for equities, FX, and rates. Perfect for anyone applying macro fundamentals to tactical trading and investment decisions.
DowFi Indicator by MathbotThis new custom indicator is built on one of the core principles of the market: Dow’s Law, which states that a trend is more likely to continue than to reverse. This simple yet powerful idea is the foundation of our tool.
To help you understand how to use this indicator effectively, we’ve created dedicated lessons available on our YouTube channel.
If you have any questions or want to build your own trading bot, you’ll find all the contact information on our official website:
🌐 www.mathbot-ea.pro
RSI CONPECT - GBPUSDToday, I will share with you about the Relative Strength Index (RSI) and its value range, which is displayed relatively for the GBPUSD currency pair on the chart. This helps us anticipate which support level the price will retrace to and which resistance level it will reach to exit the entry.
SessionsSession 10-12 12-16 1630-1830
Including HOD/LOD for different sessions.
Session 10:00 - 12: 00
Session 12:00 - 16:00
Session 16:30 - 18:30
Step-MA Baseline (with optional smoother)poor man trackline, it uses the ma20 and smooth it out to signal trends
Bitcoin Power Law ModelBitcoin Power Law Model with Cycle Predictions
Scientific Price Modeling for Bitcoin
This indicator implements **Dr. Giovanni Santostasi's Bitcoin Power Law Theory** - a discovery that Bitcoin's price follows mathematical laws similar to natural phenomena. Unlike traditional financial models, this treats Bitcoin as a scale-invariant system that grows predictably over time.
What Makes This Special
Dr. Santostasi, an astrophysicist who studied gravitational waves, discovered that Bitcoin's price forms a perfect straight line when plotted on a log-log scale over its entire 15-year history. This isn't just another technical indicator - it's a fundamental law that has held true through multiple 80%+ crashes and recoveries.
Core Features
Power Law Model
- Orange Line: The power law trajectory showing Bitcoin's long-term growth path
- Yellow Line: Fair value (geometric mean between support and resistance)
- Green/Red Bands: Support and resistance levels that have historically contained price movements
- Band Position %: Shows exactly where price sits within the power law channel (0-100%)
How to Use It
For Long-term Investors
1. Accumulate when price is near the green support line (band position < 20%)
2. Hold when price is between the bands
3. Consider profits when approaching red resistance (band position > 80%)
4. Never panic - the model shows $30K+ is now the permanent floor
Key Metrics to Watch
- **Band Position: <20% = Oversold, >80% = Overbought
- Fair Value: Price above = Overvalued, below = Undervalued
- Support Line: Breaking below suggests model invalidation
Current Cycle Projections
Based on the November 2022 bottom at ~$15,500:
- Cycle Peak: ~$155,000-$230,000 (October 2025)
- Next Bottom: ~$70,000-$100,000 (October 2026)
- Long-term: $1 million by 2033 (power law projection)
Customizable Settings
Model Parameters
- Intercept & Slope: Fine-tune the power law formula
- Band Offsets: Adjust support/resistance distances
Display Options
- Toggle each visual element on/off
- Show/hide future projections
- Enable/disable cycle analysis
- Customize halving markers
Understanding the Math
The model uses the formula: **Price = 10^(A + B × log10(days since genesis))**
Where:
- A = -17.01 (intercept)
- B = 5.82 (slope)
- Days counted from Bitcoin's genesis block (Jan 3, 2009)
This creates parallel support/resistance lines in log-log space that have contained Bitcoin's price for 15+ years.
Important
1.Not Financial Advice: This is a mathematical model, not a guarantee
2. Long-term Focus: Best suited for macro analysis, not day trading
3. Model Limitations: Past performance doesn't ensure future results
4. Volatility Expected: 50-80% drawdowns are normal within the model
Background
Dr. Giovanni Santostasi discovered this model while analyzing Bitcoin through the lens of physics. He found that Bitcoin behaves more like a city or organism than a financial asset, growing according to universal power laws found throughout
9:30 AM Candle MarkerEach day at 9:30 AM, on the 15-minute chart, you’ll see a red vertical line appear exactly on that candle. This makes it super easy to:
Track reactions to market open (if using US stocks).
Anchor your strategy to a consistent time point.
Build routines around a known time.
830 to 11am NY Raid [Plazo Sullivan Roche Capital]PSRC Dynamic Range Liquidity Sweep Strategy
Trade Like an Institution. Win Like a Shark.
What’s Inside This Strategy?
An elite killzone toolkit built for one job:
Exploit institutional moves during the most volatile part of the trading day — 8:30 AM to 11:00 AM NY.
This strategy fuses ICT killzone logic, Smart Money Concepts, and Dynamic Range Implied Reversion to give you ultra-high probability trades using:
Liquidity sweep detection
Displacement candle validation
Time-restricted sniper entries
Real-time Buy/Sell signals
Visual dashboard of market confluence
Automated alerts to never miss a trade again
Who Is This For?
Scalpers and intraday traders
Forex, Index, Crypto, and Gold players
Users on ICMarkets, OANDA, FXPro, Binance, TradingView
If you’re tired of lagging indicators and want to trade like the banks, this is your scalping bible.
⚙️ Feature Set Breakdown
Feature Description
✅ Killzone Filter Trades only between 8:30–11:00 AM New York (configurable)
✅ Liquidity Sweep Logic Detects manipulation above PDH / below PDL
✅ Displacement Candle Check Validates impulsive moves from Smart Money
✅ Entry Signal Auto-detects retrace entries after sweep/displacement
✅ Visual Buy/Sell Labels See signals right on your chart
✅ Alert Conditions Sends real-time alerts (mobile, webhook, popup)
✅ Dashboard Panel Real-time confluence insights in plain English
🚀 What’s In It For You?
Trade with institutional logic, not retail lag
Catch reversals where amateurs get trapped
Automate confluences so you stop second-guessing entries
Save screen time with killzone filtering and alerts
Dominate high-volatility hours when real money moves
🔌 How to Set It Up
Click “Add to Chart.”
Right-click chart > “Add Alert”
→ Choose Buy Signal Alert or Sell Signal Alert.
Adjust start/end time to match your broker feed if needed.
🧠 Best Practices
✅ Trade only in the killzone. The logic is tuned for 8:30–11:00 AM NY.
✅ Wait for the signal — don’t front-run it. Let the sweep + displacement + retrace combo hit.
✅ Add confluences like:
Fair Value Gaps (FVGs)
1H OBs or 4H Implied Range Levels
News catalysts from ForexFactory or FinancialJuice
✅ Use alert webhooks for semi-automated trading via platforms like 3Commas, Alertatron, or AutoView.
📈 Recommended Assets
Forex: EURUSD, GBPUSD, USDJPY
Indices: NAS100, US30, SPX500
Gold: XAUUSD
Crypto: BTC/ETH on Binance Futures
⚠️ Risk Reminder
This tool identifies high-probability setups. But risk management is still king.
Use fixed SLs based on structure
Go for 1:2+ RR minimum
Trade 1–2% max risk per position
PRO Version
Auto-drawn Fair Value Gaps
Dynamic Range projection zones
Multi-timeframe signal table
Institutional order block detection
Breaker block and BOS/CHoCH overlays
Contact. us to purchase the pro version: $297 lifetime updates
Bitcoin Stock-to-Flow Model Price Bands# Bitcoin Stock-to-Flow Model Price Bands
Overview
This indicator implements the famous Stock-to-Flow (S2F) model created by PlanB (@100trillionUSD), which uses Bitcoin's scarcity to predict its long-term value. The S2F model has gained significant attention for its historical accuracy in capturing Bitcoin's price movements across multiple market cycles.
What is Stock-to-Flow?
Stock-to-Flow is a ratio that measures scarcity by dividing the current supply (stock) by the annual production (flow). The model suggests that as Bitcoin becomes scarcer through halving events, its value should increase proportionally.
This indicator features:
Dynamic S2F Calculation
- Automatically calculates Bitcoin's current supply based on block height
- Adjusts for halving events (every 210,000 blocks)
- Updates the S2F ratio in real-time
Visual Elements
- Orange Line: S2F model price based on the formula: Price = 0.4 × S2F³
- Confidence Bands: Upper (red) and lower (green) bands showing expected price ranges
- Colored Candles: Green when above model price, red when below
- Info Table: Displays current S2F ratio, model price, actual price, and price multiple
Customizable Parameters
- Model Coefficient: Adjust the multiplier (default: 0.4)
- Model Exponent: Modify the power factor (default: 3.0)
- Band Width: Control confidence band spread (1-5 standard deviations)
- Display Options: Toggle individual elements on/off
Built-in Alerts
- Price crossing above/below S2F model price
- Price exceeding upper/lower confidence bands
How to Use
1. Trend Identification: When price is above the orange S2F line, Bitcoin may be overvalued; below suggests undervaluation
2. Cycle Analysis: The model steps up at each halving, creating distinct price "floors"
3. Risk Management: Use confidence bands to identify extreme deviations from the model
4. Long-term Perspective: Best suited for macro analysis rather than short-term trading
Important to understand:
This is a model, not a guarantee. The S2F model:
- Assumes scarcity is the primary driver of value
- Doesn't account for demand-side factors
- Has shown deviations during certain market conditions
- Should be used alongside other analysis methods
Model Performance
Historically, the S2F model has captured major Bitcoin price movements:
- 2013 Bull Run: Price followed model predictions
- 2017 Peak: Reached model targets
- 2021 Cycle: Initially tracked, then deviated
- 2024-2025: Model suggests $500k-$1M potential
Technical Details
- Uses logarithmic regression similar to the original S2F model
- Accounts for "lost" coins (est. 1M BTC from early mining)
- Implements dynamic supply calculation through halving cycles
- Confidence bands use log-normal distribution
Best Timeframes
- Weekly/Monthly: Ideal for long-term trend analysis
Credits
Based on the Stock-to-Flow model by PlanB (@100trillionUSD)
Original article: "Modeling Bitcoin's Value with Scarcity" (2019)
Yaman’s Scalper Pro V.5Yaman’s Scalper Pro V.5
Overview:
Yaman’s Scalper Pro V.5 is a precision-built scalping indicator designed for fast-paced markets like XAUUSD. It identifies potential short-term trade opportunities using a proprietary momentum-detection engine. The script visually marks trade entries along with clearly defined Take Profit and Stop Loss levels.
Key Features:
Automatically plots Buy/Sell labels on the chart when trade conditions are met
Displays dynamic Entry, TP, and SL levels directly on the chart
Built-in simulation of trade holding duration (configurable in bars)
Clean, minimal visual layout optimized for manual or assisted scalping
User Inputs:
Take Profit (Pips) – Distance to TP in pips
Stop Loss (Pips) – Distance to SL in pips
Hold Bars – Number of bars to simulate holding a trade (not recommended to change)
How to Use:
Apply the indicator to XAUUSD or other volatile assets on lower timeframes (e.g., 1m, 5m)
Look for Buy/Sell labels as trade signals
Use the plotted TP/SL levels to plan your trade exits
This tool can complement your existing trading system or be used as a standalone visual aid
Important Note:
This script is closed-source to protect proprietary entry logic. It is not based on public indicators or simple crossover methods. While the internal mechanics remain private, the visual trade framework and risk management display are fully visible and easy to use.
RRG ZONE ROTATIONINPUT PARAMETER
1.Mimimum NUMBER OF Bars ON CHART TO ON/OFF INDICATOR
2.RRG Data Depth (NUMBER OFF RECENT PAST BAR USED FOR RRG CALCULATION)
3.Bench Mark Index (Default is NIFTY)
RRG ZONE COLOR LEGEND
1.IMPROVING ZONE: BLUE
2.LAGGING ZONE: RED
3.OUTPERFORMING ZONE :GREEN
4.CORRECTION AFTER OUTPERFORMANCE :GRAY
--- I Have RRG ZONE SCANNER TOO to Scan stock in specific RRG ZONE
www.tradingview.com
Multi-School Signal Indicator (Text Only)//@version=5
indicator("Multi-School Signal Indicator (Text Only)", overlay=true)
// === المتوسطات (Trend) ===
maShort = ta.sma(close, 9)
maLong = ta.sma(close, 21)
ma200 = ta.sma(close, 200)
trendUp = maShort > maLong and close > ma200
trendDown = maShort < maLong and close < ma200
// === الزخم (RSI) ===
rsi = ta.rsi(close, 14)
rsiBull = rsi > 50
rsiBear = rsi < 50
// === الحجم (Volume) ===
vol = volume
volMA = ta.sma(vol, 20)
volHigh = vol > volMA
// === شموع ابتلاعية ===
bullishEngulf = close < open and close > open and close > open and open < close
bearishEngulf = close > open and close < open and close < open and open > close
// === CHOCH (بسيط) ===
chochUp = close > high and low > low
chochDown = close < low and high < high
// === بولنجر باند ===
basis = ta.sma(close, 20)
dev = ta.stdev(close, 20)
upper = basis + 2 * dev
lower = basis - 2 * dev
bollingerBreakUp = close > upper
bollingerBreakDown = close < lower
// === دعم ومقاومة ===
support = ta.lowest(close, 20)
resistance = ta.highest(close, 20)
nearSupport = math.abs(close - support) / close < 0.01
nearResistance = math.abs(close - resistance) / close < 0.01
// === فيبوناتشي مبسط ===
fibLevel1 = close >= ta.valuewhen(close > maLong, close * 0.618, 0)
fibLevel2 = close <= ta.valuewhen(close < maLong, close * 0.382, 0)
// === إشارات الدخول ===
buyConditions = trendUp and rsiBull and volHigh and bullishEngulf and chochUp and bollingerBreakUp and nearSupport and fibLevel1
sellConditions = trendDown and rsiBear and volHigh and bearishEngulf and chochDown and bollingerBreakDown and nearResistance and fibLevel2
// === رسم الاختصارات بدون ألوان ===
if buyConditions
label.new(bar_index, low, "BUY", style=label.style_label_up, textcolor=color.black, size=size.small, textalign=text.align_center)
if sellConditions
label.new(bar_index, high, "SELL", style=label.style_label_down, textcolor=color.black, size=size.small, textalign=text.align_center)
Silent TriggerSilent Trigger is a precision-based signal indicator designed to highlight only the most impactful reversal or continuation moments on your chart—nothing more, nothing less.
No overlays, no noise, no distractions. This tool waits patiently and only fires when multiple layers of internal confluence align. Signals appear as white or purple diamonds—white for potential upside, purple for potential downside.
Perfect for traders who value clarity, minimalism, and high-quality setups.
Note: This indicator is designed to complement volume-based tools but can stand alone as a confirmation filter. If no signals appear for a while, that’s by design—only the strongest setups are shown.
Liquidity Aggregation MALiquidity Aggregation MA
Designed to assess liquidity conditions by aggregating data from various economic indicators (Fed Liquidity, PBOC Liquidity, Inverse Volatility, and Inverse USD Strength) and visualizing them with moving averages (EMA and SMA). It is tailored for high beta assets like Bitcoin (cryptocurrency).
Key Features:
Liquidity Inputs: Utilizes custom ticker combinations (e.g., FRED:WALCL, ECONOMICS:CNFER) with optional inclusion of Fed Liquidity, PBOC Liquidity, Inverse Volatility (MOVE Index), and Inverse USD Strength (DXY).
Customizable Inputs:
EMA (default 55) and SMA (default 200) lengths.
Plot styles (Wave, Pulse, Classic) with glow effect and wave intensity options.
Strength display mode (Percentage or Absolute) with adjustable max strength thresholds.
Table position, size, and color intensity settings.
Visualization:
EMA and SMA lines with dynamic colors (teal for bullish "RISK ON", magenta for bearish "RISK OFF") based on signal strength.
Fill between lines with transparency adjusting to signal strength.
Wave or pulse effects for enhanced visual feedback.
A table shows the liquidity signal and a 10-block gauge reflecting signal strength.
Candles colored based on the liquidity signal.
Usage:
Helps traders evaluate liquidity-driven market trends across global financial systems.
The signal strength gauge and color intensity indicate the magnitude of the liquidity shift.
Suitable for overlay on a 1-day chart to monitor long-term liquidity impacts, as depicted in the Bitcoin/USD chart.