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
Penunjuk dan strategi
N4A.Dynamic ORB Algo v7.3N4A – Dynamic ORB Algo v7.3
A precision-crafted intraday breakout strategy designed for futures traders (NQ, MNQ, ES, MES), combining adaptive Opening Range Breakout (ORB) logic with a multi-layer filter engine and structured risk management. Built for flexibility across global trading sessions.
Invite-only · Source-protected
🔍 What it does
Dynamic ORB Algo captures the initial range of a selected session (Pre-London, London, New York, or Custom), waits for a confirmed breakout, and applies a configurable stack of validation filters. Its goal is to reduce false breakouts, improve signal quality, and maintain consistent risk control.
🧠 Validation Layers (Mode-dependent)
EMA Bias Filter – Enforces directional alignment using dual EMA-200 zones (High and Close).
EMA Cross-Frequency Guard – Filters unstable markets by counting trend direction flips over a selected time window.
RG Volatility Stop – Measures directional flow within a dynamic range geometry, preventing trades in sideways conditions.
Momentum Shift Check – Detects active breakouts using a custom KC-MACD derivative.
Weekday Filter – Allows disabling trades on low-liquidity days.
Each layer can be controlled manually (Custom mode) or pre-configured via:
Basic – No filters
Conservative – Trend-focused, stricter validation
Aggressive – Fast breakout capture with momentum guard
Custom – Full control of every logic component
⚙️ Execution Logic
One trade per session, triggered after a candle closes beyond the ORB high or low.
Stop-loss – Set at the mid-point of the ORB ± 7 ticks.
Profit targets – Optional exits at 0.5x, 1.0x, 1.5x, and 2.0x the ORB range; user defines the percentage split.
Time stop – Closes all trades after 270 minutes.
💲 Risk Engine
Risk per trade is controlled either via:
Fixed dollar amount (default $400), or
Percentage of account equity (default 0.8%)
Contract size is dynamically calculated using the distance from entry to stop-loss, ensuring consistent monetary risk regardless of volatility.
🌐 Session & Time-Zone Adaptability
The script includes a full time-zone selector and auto-adjusting session presets. All internal time/session functions respect your time-zone choice, making it DST-aware and usable across global markets.
🔔 Built-In Alerts
Alerts are available for validated breakout entries (long and short), ready for webhook, email, or app push notifications.
🧪 Backtest Parameters
Default backtest assumptions:
Commission: $1.80 per contract
Slippage: 2 ticks
Risk sizing logic: Matches live execution
These settings reflect realistic conditions for futures trading and align with common retail brokerage structures.
🚀 What makes this original?
This script isn’t a mash-up of common public logic. It includes:
A proprietary EMA-frequency filter that monitors directional stability over time.
An adaptive risk grid that keeps dollar exposure fixed regardless of market volatility.
Unique session handling logic that enables clean integration across major markets without user reconfiguration.
Volatility filtering based on RG envelope behavior, distinct from ATR or Bollinger-based models.
⚠️ Risk Disclosure
This strategy is provided for educational purposes only. All performance data is simulated and not indicative of future results. Do your own testing and consult a licensed advisor before live trading.
📩 To request access, message @AntonyN4A directly on TradingView.
Pine v5 · Copyright © 2025 N4A Trading Systems – All rights reserved
HSS 9/20 EMA best tool for EMA and SMC concepts ... in this i have used EMA based price movements with SMC based price action. this will help you in giving signals and also entry and exit
work on all time frames and markets
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.
SECRET STRATEGYSECRET STRATEGY.
Select the instrument form the preset list and make sure it's matching you chart symbol and time frame
XAUUSD-15m (OANDA)
DE30EUR-15m (OANDA)
US30-15m (OANDA)
NAS100-5m (OANDA)
NOTE:
make sure using 1% of the equity.
check "use bar magnifier"
enjoy the amazing results of the back testing ! these strategies are hand crafted and verified in a real trading accounts,
if you are interested in Automation & trade copier. please contact me on
Email: (fadi.qawwas@gmail.com)
Telegram: @BlackAmorphis
this strategy will not be available all the time, i am publishing it for free for a short period of time ONLY.
Trend Vantage MA Synergy | D_Quant🧠 Trend Vantage MA Synergy | D_Quant
"When four distinct trend perspectives converge, the signal isn’t noise — it’s opportunity."
— D_Quant
🔍 Overview
Trend Vantage MA Synergy is a powerful multi-MA trend model that fuses four distinct moving average systems, each from a different mathematical school to detect high-probability, high-confluence trend conditions across all markets and timeframes.
This isn’t just a moving average mash-up. It’s a curated synergy of volatility-adaptive logic, smooth trend extraction, probabilistic scoring, and dynamic oscillator feedback.
Built for precision, designed for clarity.
📊 The 4-Pillar Core
🧪 Volatility-Adjusted EWMA
Dynamically scales smoothing based on real-time ATR-derived volatility.
Filters out noisy chop and adapts to market aggression.
📉 DEMA + Standard Deviation Bands
Captures volatility breakout extremes using deviation from double EMA baseline.
Great for spotting trend initiation and exhaustion points.
🧮 Smoothed LSMA Slope
Extracts linear regression trend slope and applies advanced smoothing (SMA/EMA/WMA).
Helps detect trend momentum direction with minimal lag.
🧿 Adaptive ALMA/HMA Blend
Combines Gaussian-weighted ALMA with traditional MA logic for ultra-smooth price tracking.
Configurable blend offers flexibility across assets and volatility regimes.
🧠 Trend Probability
The output of the four systems is unified into a single, normalized signal:
+1 = strong bullish confluence
-1 = strong bearish confluence
0 = neutral/no agreement
This indicators score is:
Plotted as a smooth oscillator with gradient glow
Displayed in a dynamic 3-day historical mini-table
Reflected in bar color overlays for quick visual guidance
🎯 Who Is This For?
Trend followers who want multi-angle confirmation
Quant/systematic traders who value volatility adjustment & signal cleanliness
Anyone tired of false positives from a single MA...XD
💡 How to Use:
Look for TrendVantage's alignment with price structure and higher timeframe trend
Use oscillator slope and color gradient to gauge momentum strength
Cross-validate with your own system — this is a perfect confluence tool
⚙️ Features at a Glance:
✅ Volatility-Responsive Smoothing
✅ Color-Coded TPI Oscillator with Dynamic Glow
✅ Bar Coloring Mode
✅ 3-Day Mini Table with Trend Value Memory
✅ Fully customizable input settings
✅ Built with Pine Script v6 for peak performance
🛠️ Final Word
Trend Vantage MA Synergy isn’t a signal chaser — it’s a signal filter.
It helps you tune out noise and focus on the probability-weighted path of least resistance.
—
🧪 Built by @D_Quant — follow for more tools focused on statistical edge, signal clarity, and professional-grade design.
Normalized Price Line with Adjustable Slope‑EMAThis anchored, normalized chart lets you see true percentage moves and swing pivots at a glance—removing guesswork about entry and exit levels. The noise‑filtered, slope‑colored EMAs then highlight only meaningful trend shifts, so you act on real momentum rather than every price twitch.
By anchoring price to a single starting bar, the indicator turns absolute price into a scale‑free “performance” line, where a value of 1.25 means price is up 25% since the anchor, and 0.80 means it’s down 20%. Overlaying that with a midpoint “shelf” line shows key swing levels where price has historically bounced or broken through. When your normalized price crosses above or below this reclaim level, you get an immediate read on whether a swing recovery or breakdown is occurring.
Layered on top are dynamically colored EMAs: a custom “Slope EMA” that changes color based on its recent slope, and classic 83‑ and 200‑period EMAs on the normalized series. The Slope EMA filters out noise by only turning your chosen up, down, or flat colors when its acceleration truly shifts. Meanwhile, crossovers of the faster 83‑EMA over the slower 200‑EMA give you traditional trend‑following confirmation. Together, these elements blend relative performance, structural support, and trend strength into one view—helping you spot higher‑probability entries and stay aligned with market momentum.
Intended for advanced users because user options are nuanced. For example, this indicator plots relative performance rather than raw price, you’ll want to toggle between linear and logarithmic scales (via the “Log” button on the y‑axis) and use the “Anchor” button to lock in your starting reference. That way, every move is shown in the same “language” of percentage moves, ensuring you’re comparing apples to apples across timeframes.
HDJ Multi-Divergence Trend Indicator(MACD/RSI/OBV/VOL)HDJ Indicator is named after the initials of the Chinese name of its author. The HDJ Indicator features powerful automatic detection of multi-indicator divergences (MACD/RSI/OBV/VOL) and includes multi-timeframe resonance recognition for identifying bullish and bearish trends.
The HDJ Indicator’s view consists of three main lines:
· Price Line (Closing Price, Green/Red)
· VWAP Line (Yellow)
· EMA200 Line (Blue)
The RSI value is displayed in real-time at the top-right corner of the indicator’s view.
Usage Guide :
1. Bottom Divergence / Top Divergence
Bottom Divergence Signal : Typically appears below the Price Line (Closing Price, Red), marked with a triangle symbol (△) and the name of the diverging indicator (in Green). The △ symbol corresponds to the candlestick’s position.
Top Divergence Signal : Typically appears above the Price Line (Closing Price, Green), marked with a triangle symbol (△) and the name of the diverging indicator (in Red). The △ symbol corresponds to the candlestick’s position.
Note: A divergence signal will only be displayed if two or more indicators show divergence simultaneously. Single-indicator divergences will not trigger a marker.
2. Bull / Bear Trend
Bull Trend : When the MACD Line and Signal Line of the MACD indicator are above the zero line on the 1-minute, 5-minute, 15-minute, and 1-hour timeframes, and the current timeframe’s MACD Line crosses above the Signal Line (while also above the zero line), and the current closing price is above both VWAP and EMA200, a "×" symbol with a green "Bull Trend" label will appear. The × symbol corresponds to the candlestick’s position.
Bear Trend : When the MACD Line and Signal Line of the MACD indicator are below the zero line on the 1-minute, 5-minute, 15-minute, and 1-hour timeframes, and the current timeframe’s MACD Line crosses below the Signal Line (while also below the zero line), and the current closing price is below both VWAP and EMA200, a "×" symbol with a red "Bear Trend" label will appear. The × symbol corresponds to the candlestick’s position.
3. RSI
· RSI < 30: Displayed in Red.
· RSI ≥ 30: Displayed in Green.
中文版：
HDJ指标采用了编写该指标的本作者的中文名字首字母为命名，HDJ指标有着强大的自动识别多重指标背离的功能(MACD/RSI/OBV/VOL)，同时还带了多周期共振识别看涨、看跌趋势的功能。HDJ指标视图中主要由3条线组成, 分别是 价格线(收盘价， 绿色/红色)、VWAP线(黄色)、EMA200线(蓝色), 指标视图右上角实时显示的是RSI指标值。
使用方法：
1. 底背离 / 顶背离
- 底背离信号: 一般出现在 价格线(收盘价, 红色) 的下方， 三角形符号(△)+背离的指标名称作标记(绿色), △符号对应的是K线的坐标。
- 顶背离信号: 一般出现在 价格线(收盘价, 绿色) 的上方， 三角形符号(△)+背离的指标名称作标记(红色), △符号对应的是K线的坐标。
* 注意：单个指标背离不会被触发背离标记符号显示，仅显示两个指标以上的同时背离信号标记。
2. Bull / Bear 趋势
- Bull Trend：当 1分钟、5分钟、15分钟、1小时视图MACD指标的MACD线、Single线都在0轴上方时，并且HDJ指标所在当前周期MACD指标的MACD线上穿了Single线, 同时也在MACD指标0轴上方和当前周期的价格(收盘价)大于VWAP、EMA200, 此时会显示×符号带"Bull Trend"绿色标签的信号标记，×符号对应的是K线的坐标。
- Bear Trend: 当 1分钟、5分钟、15分钟、1小时视图MACD指标的MACD线、Single线都在0轴下方时，并且HDJ指标所在当前周期MACD指标的MACD线下穿了Single线, 同时也在MACD指标0轴下方和当前周期的价格(收盘价)小于VWAP、EMA200, 此时会显示×符号带"Bear Trend"红色标签的信号标记，×符号对应的是K线的坐标。
3. RSI
- RSI值 < 30 时显示红色，RSI值 >= 30 时显示绿色。
Timed Trade Close AlertEnables you to set up alerts that can be used to close all trades when used in conjunction with web hooks.
Firstly, you can enable a daily alert at a regular time to avoid spread blow outs during roll overs. ie: This will alert at the same time each day
Additionally, you can enable and program up to 8 individual alerts to address news events or any other situations that you would want to halt your trading. The day, hour and minute can be adjusted according
Bollinger Bands📊 Bollinger Bands Strategy: Ride the Waves of Volatility 🌊
Bollinger Bands are a powerful tool to identify overbought and oversold conditions, volatility breakouts, and price reversals. This strategy uses:
🔹 Middle Band – 20-period simple moving average
🔹 Upper & Lower Bands – 2 standard deviations away from the SMA
💡 Strategy Logic:
Buy Entry: When price closes below the lower band and RSI < 30 → Expect mean reversion.
Sell Entry: When price closes above the upper band and RSI > 70 → Possible pullback.
Exit: Near middle band or opposite band.
📈 You can also use Bollinger Band squeezes to detect upcoming breakouts. Less distance = low volatility → Expansion = potential big move!
🧠 Great for swing trading or intraday scalping with proper risk management.
Volatility-Adjusted Momentum Signal (VAMS)🔹 VAMS — Volatility-Adjusted Momentum Signal | QuantumResearch
Purpose:
VAMS is a composite momentum oscillator that merges price momentum and volatility momentum using z-score transformations. It helps identify meaningful trend shifts by emphasizing both directional move strength and the volatility regime.
How It Works:
The system builds two independent z-scores:
Price Z-Score: Measures how far current price deviates from its EMA.
Volatility Z-Score: Applies the same logic to volatility (standard deviation of price).
Both z-scores are combined to produce a Volatility-Adjusted Momentum Signal (Z_total), which is then compared to dynamic thresholds based on rolling standard deviation.
Signal Classification:
Bullish: Z_total exceeds upper dynamic threshold.
Bearish: Z_total falls below lower dynamic threshold.
Neutral: Values in between.
Display Features:
Oscillator line color-coded by signal state (bullish/bearish/neutral).
Background and bar colors reflect momentum strength using a gradient scale.
Real-time info table showing:
Z-score and rate-of-change (ROC) for both price and volatility.
Final momentum classification.
Key Features:
Fuses price and volatility into a single adaptive oscillator.
Dynamic thresholds prevent false signals in low-volatility environments.
Suitable for trend identification, momentum stacking, or signal confirmation.
Performance Notes:
VAMS has been tested on BTC, ETH, and ETH/BTC and consistently aligns well with trend inflection points — particularly during volatility regime shifts.
Trading Application:
Confirm breakouts or breakdowns.
Spot early trend strength.
Avoid false signals during low-volatility noise.
Disclaimer: This script is provided for educational and informational purposes only. Trading cryptocurrencies involves substantial risk and is not appropriate for all investors. Past performance is not indicative of future results.
Quantum Dip Spectrum | QuantumResearch🔹 Quantum DipSpectrum | QuantumResearch
Purpose:
The Quantum DipSpectrum is a market breadth indicator designed to identify broad-based oversold conditions across a basket of 40 altcoins. It helps traders detect potential accumulation phases by measuring how many assets simultaneously enter deep dip territory.
How It Works:
The script computes a “dip condition” for each of 40 altcoins. For every asset, it checks two key criteria:
Whether price is below its 10th percentile (bottom decile) over a user-defined lookback period.
Whether price is also below the median minus 3× standard deviation — a volatility-adjusted drop threshold.
If both conditions are met, the asset is counted as being in a deep dip. The total number of dipped assets is calculated and plotted as a histogram. This count — or dip breadth — provides a powerful contrarian signal when it spikes.
Threshold Alert:
A customizable threshold line lets you define when the dip count is considered significant. If the dip breadth exceeds this line, the background turns green, signaling potential market-wide undervaluation.
Key Features:
Analyzes 40 altcoins using volatility-adjusted dip detection.
Histogram of total dipped assets with real-time updates.
Adaptive color gradients to reflect the severity of dips.
Fully customizable lookback and threshold.
Works on any timeframe; designed for daily chart use by default.
Trading Application:
Spot broad capitulation events across altcoins.
Help time altcoin rotations and bottom-fishing opportunities.
Combine with BTC/ETH trend indicators for multi-layered confluence.
⚠️ This is not a buy/sell signal but a strategic market breadth tool for sentiment analysis.
Disclaimer: Past performance does not guarantee future results. This indicator is for educational and informational purposes only. Trading cryptocurrencies involves substantial risk of loss and is not suitable for every investor.
Altcoin Breadth | QuantumResearch🔹 Altcoin Breadth | QuantumResearch
Purpose:
Altcoin Breadth measures the strength of the altcoin market by tracking how many assets trade above key moving averages (50-day and 200-day). It offers a normalized view of trend participation across 40 major crypto assets.
How It Works:
For each of the 40 altcoins:
The script checks whether the asset's current price is above its 50-day and/or 200-day simple moving average.
Each condition counts as a binary "1" (trend up) or "0" (trend down).
The total values are averaged, yielding two normalized values between 0 and 1:
Breadth 50: % of assets above their 50 SMA
Breadth 200: % of assets above their 200 SMA
Visual Display:
Plots Breadth 50 and Breadth 200 separately as two gradient-colored lines.
Dynamic labels at the latest bar indicate current breadth values.
Optional bar coloring to reflect underlying breadth momentum.
Key Features:
Evaluates short-term and long-term trend strength across the altcoin sector.
Dynamic visualization of market participation breadth.
Clear trend shifts and sector-wide bullish/bearish transitions.
Separate toggles to show either Breadth 50, Breadth 200, or both.
Trading Application:
Identify broad altcoin uptrends or breakdowns.
Use Breadth 200 for macro confirmation; Breadth 50 for tactical shifts.
Align altcoin exposure with healthy trend participation levels.
⚠️ Breadth tools offer market-wide context, not individual entry signals. Use in combination with trend or momentum indicators.
Disclaimer: Past performance does not guarantee future results. This tool is intended for informational and educational use only. Cryptocurrency markets are volatile and involve high risk.
Trent_Finder V3EMA Inputs
It uses 6 EMAs with customizable lengths (defaults: 30, 35, 40, 45, 50, 60).
Trend Conditions
Bullish Trend: All EMAs are strictly ordered from smallest to largest, meaning short-term prices are leading long-term prices upward.
Bearish Trend: All EMAs are ordered from largest to smallest, meaning short-term prices are falling below long-term ones.
Neutral: EMAs are mixed and do not meet the above criteria.
Trend Tracking
The script remembers the current trend and only flips when a full trend reversal condition is confirmed.
Signals
A Buy Signal appears when a bearish or neutral trend changes to bullish.
A Sell Signal appears when a bullish or neutral trend flips to bearish.
Visual Aids
All 6 EMAs are plotted on the chart.
Green Lines = Bullish trend
Red Lines = Bearish trend
Gray Lines = No trend (neutral)
Buy/Sell markers appear at turning points.
Trent_Finder V3EMA Inputs
It uses 6 EMAs with customizable lengths (defaults: 30, 35, 40, 45, 50, 60).
Trend Conditions
Bullish Trend: All EMAs are strictly ordered from smallest to largest, meaning short-term prices are leading long-term prices upward.
Bearish Trend: All EMAs are ordered from largest to smallest, meaning short-term prices are falling below long-term ones.
Neutral: EMAs are mixed and do not meet the above criteria.
Trend Tracking
The script remembers the current trend and only flips when a full trend reversal condition is confirmed.
Signals
A Buy Signal appears when a bearish or neutral trend changes to bullish.
A Sell Signal appears when a bullish or neutral trend flips to bearish.
Visual Aids
All 6 EMAs are plotted on the chart.
Green Lines = Bullish trend
Red Lines = Bearish trend
Gray Lines = No trend (neutral)
Buy/Sell markers appear at turning points.
MTF Kernel TraderMTF Kernel Trader
Advanced Multi-Timeframe Trading System with Machine Learning Signals
Overview
MTF Kernel Trader combines kernel regression analysis across multiple timeframes with Lorenz machine learning signals to identify high-probability trading opportunities. The indicator provides visual context through higher timeframe candles and generates precise entry signals using KNN with Lorentzian distance.
Key Features
🔹 Multi-Timeframe Kernel Regression
- Current timeframe (5min), 15min, and 60min kernel analysis
- Dynamic coloring based on each timeframe's direction
- Configurable thickness and visibility settings
🔹 Lorenz Machine Learning Signals
- KNN algorithm with Lorentzian distance calculation
- Predictive signals 4 bars ahead
- Multiple feature engineering options (RSI, WT, CCI, ADX)
- Configurable neighbor count and feature parameters
🔹 Higher Timeframe Candles Display
- Visual representation of 15min and 60min candles
- Fair Value Gaps (FVG) and Volume Imbalances
- Sweep detection and midpoint analysis
- Customizable styling and positioning
🔹 Advanced Filtering System
- Session-based trading filters (European, UTC, NY sessions)
- Trend direction filters for each timeframe
- Volatility, regime, and ADX filters
- EMA/SMA trend confirmation
🔹 Comprehensive Signal System
- Individual signals for each timeframe
- Combined multi-timeframe signals
- Debug signals for testing
- Color-coded bullish/bearish signals
Usage
Entry Strategy:
- Long Signals: When Lorenz ML generates bullish signals AND kernel regression shows uptrend AND higher timeframes confirm bullish bias
- Short Signals: When Lorenz ML generates bearish signals AND kernel regression shows downtrend AND higher timeframes confirm bearish bias
Risk Management:
- Use session filters to trade only during active market hours
- Confirm signals with multiple timeframe alignment
- Monitor higher timeframe candles for context
- Apply volatility and regime filters to avoid choppy markets
Visual Analysis:
- Green kernel lines indicate bullish momentum
- Black/Dark kernel lines indicate bearish momentum
- Higher timeframe candles show market structure
- FVG and sweep levels provide additional entry/exit points
Settings Overview
Display Settings: Control visibility of kernel lines and signals
ML Settings: Configure machine learning parameters and signal display
Session Filter: Set trading hours and timezone
MTF Candles: Customize higher timeframe candle display
Filters: Adjust volatility, regime, and trend filters
Alerts
- Individual timeframe signals (Current, 15min, 60min)
- Combined multi-timeframe signals
- Sweep confirmation alerts
- Session-based trading notifications
Perfect for: Swing traders, day traders, and scalpers who need multi-timeframe confirmation with machine learning precision.
EMA 6/16/55/100/200 ฺBy Smurojคำอธิบายเป็นภาษาไทย
ชุด EMA นี้ประกอบด้วยเส้นค่าเฉลี่ยเคลื่อนที่แบบเอ็กซ์โปเนนเชียล (EMA) ระยะเวลาต่าง ๆ ซึ่งถูกนำมาใช้เพื่อวิเคราะห์แนวโน้มราคาในระยะต่าง ๆ ดังนี้:
EMA 6 และ 16: ใช้สำหรับดูแนวโน้มระยะสั้นและการเปลี่ยนแปลงราคาที่รวดเร็ว
EMA 55: เป็นแนวโน้มระยะกลาง
EMA 100 และ 200: เป็นแนวโน้มระยะยาว ซึ่งช่วยดูภาพรวมของแนวโน้มตลาดในระดับลึก
การใช้งานในการเทรด:
ถ้าราคาอยู่เหนือ EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาขึ้น
ถ้าราคาอยู่ต่ำกว่า EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาลง
การตัดกันของ EMA สั้นและยาว เช่น EMA 6 ตัด EMA 16 ขึ้นบน อาจเป็นสัญญาณซื้อ
การตัดกันในทางตรงกันข้าม อาจเป็นสัญญาณขาย
การใช้หลายเส้นช่วยยืนยันแนวโน้มและลดความผิดพลาดในการตัดสินใจ
English Explanation
This EMA set consists of various Exponential Moving Average lines over different periods, which are used to analyze price trends across various timeframes:
EMA 6 and 16: For short-term trend analysis and quick price changes.
EMA 55: Represents a medium-term trend.
EMA 100 and 200: Indicate long-term trends, helping to view the overall market direction.
How to use in trading:
When price is above these EMA lines, it suggests an uptrend.
When price is below these EMA lines, it indicates a downtrend.
Crossovers between short and longer EMAs (e.g., EMA 6 crossing above EMA 16) can signal buy opportunities.
Conversely, crossovers downward can signal sell opportunities.
Using multiple EMA lines helps confirm the trend and reduce false signals.
EMA 6/16/55/100/200คำอธิบายเป็นภาษาไทย
ชุด EMA นี้ประกอบด้วยเส้นค่าเฉลี่ยเคลื่อนที่แบบเอ็กซ์โปเนนเชียล (EMA) ระยะเวลาต่าง ๆ ซึ่งถูกนำมาใช้เพื่อวิเคราะห์แนวโน้มราคาในระยะต่าง ๆ ดังนี้:
EMA 6 และ 16: ใช้สำหรับดูแนวโน้มระยะสั้นและการเปลี่ยนแปลงราคาที่รวดเร็ว
EMA 55: เป็นแนวโน้มระยะกลาง
EMA 100 และ 200: เป็นแนวโน้มระยะยาว ซึ่งช่วยดูภาพรวมของแนวโน้มตลาดในระดับลึก
การใช้งานในการเทรด:
ถ้าราคาอยู่เหนือ EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาขึ้น
ถ้าราคาอยู่ต่ำกว่า EMA ระยะต่าง ๆ แสดงถึงแนวโน้มขาลง
การตัดกันของ EMA สั้นและยาว เช่น EMA 6 ตัด EMA 16 ขึ้นบน อาจเป็นสัญญาณซื้อ
การตัดกันในทางตรงกันข้าม อาจเป็นสัญญาณขาย
การใช้หลายเส้นช่วยยืนยันแนวโน้มและลดความผิดพลาดในการตัดสินใจ
English Explanation
This EMA set consists of various Exponential Moving Average lines over different periods, which are used to analyze price trends across various timeframes:
EMA 6 and 16: For short-term trend analysis and quick price changes.
EMA 55: Represents a medium-term trend.
EMA 100 and 200: Indicate long-term trends, helping to view the overall market direction.
How to use in trading:
When price is above these EMA lines, it suggests an uptrend.
When price is below these EMA lines, it indicates a downtrend.
Crossovers between short and longer EMAs (e.g., EMA 6 crossing above EMA 16) can signal buy opportunities.
Conversely, crossovers downward can signal sell opportunities.
Using multiple EMA lines helps confirm the trend and reduce false signals.
JMR vwap inside barThis indicator will add vwap and according to your chart time frame and also will mark inside bar candles.
