RSI Multi-Timeframe HeatmapThe RSI Multi-Timeframe Heatmap displays the Relative Strength Index (RSI) across multiple timeframes in a single, easy-to-read visual grid.
It allows traders to instantly assess RSI conditions (overbought, oversold, neutral) across short-, medium-, and long-term perspectives — all at once.
Each column represents a different timeframe, and each cell is color-coded based on the RSI value.
The active cell in each column shows the current RSI for that timeframe, with both the numerical value and a background color that corresponds to RSI intensity.
Features
Displays RSI values for multiple timeframes simultaneously.
Includes the following timeframes:
5m, 15m, 30m, 45m, 1h, 2h, 3h, 4h, 6h, 8h, 12h, 23h, 1d, 1w, and the current chart timeframe.
Color-coded RSI heatmap with intuitive gradient from cold (oversold) to hot (overbought).
Uses closing prices for RSI calculation.
Table layout updates in real-time on every bar.
Highly visual and ideal for multi-timeframe momentum analysis.
Each timeframe has 3 values - current, 7 bars ago and 14 bars ago.
指标和策略
McMillan Volatility Bands (MVB) – with Entry Logic// McMillan Volatility Bands (MVB) with signal + entry logic
// Author: ChatGPT for OneRyanAlexander
// Notes:
// - Bands are computed using percentage volatility (log returns), per the Black‑Scholes framing.
// - Inner band (default 3σ) and outer band (default 4σ) are configurable.
// - A setup occurs when price closes outside the outer band, then closes back within the inner band.
// The bar that re‑enters is the "signal bar." We then require price to trade beyond the signal bar's
// extreme by a user‑defined cushion (default 0.34 * signal bar range) to confirm entry.
// - Includes alertconditions for both setups and confirmed entries.
RSI Curl Signals 70 / 60 / 40This Indicator Identifies the turning points on the RSI and plots a buy and sell signal on the chart It plots on crossing up above the 41 Level on the RSI and plots a sell curling below the 60 level use a standard RSI on chart if needed with alerts set at RSI curling up above value 40 Level and use an alert for curling below Level 60 use support and resistance for confirmation
Works with any timeframe Ans any asset
WIF: Big Candle -> Harami (15m) — BINANCEI want to use this strategy: first there is a large candle with a body at 2%, after it there is a temple, I go from the temple in the direction of the candle color.
Time Range HighlighterThis indicator highlights up to two custom time ranges on your chart with fully adjustable settings:
🔧 Features:
Define two separate time sessions
Set custom start and end times (in any time zone)
Choose unique highlight colors and opacity for each session
Toggle each range on or off independently
Timezone input allows syncing sessions to any global market hours (e.g., UTC, Asia/Tehran, New York)
🕒 Example Use Cases:
Highlight market opening hours (e.g. NYSE: 0930–1600)
Track your personal trading hours or peak volatility sessions
Visualize specific algorithm time filters
📌 Usage:
Enter your desired timezone string (e.g., "Asia/Tehran" or "Etc/UTC")
Customize session times like "0930-1200" and "1500-1700"
Adjust colors and visibility to fit your strategy
Ideal for traders who rely on time-based setups or session overlays.
ETH Short-Term VWAP+EMA/RSI (ATR Risk, <1h) (James Logan)ETH Short-Term VWAP + EMA / RSI Strategy (ATR-based Risk Control)
A short-term (< 1 hour) ETH trading system designed for intraday scalps and momentum swings on 5- to 15-minute charts.
It blends trend confirmation (EMA 50 / 200) with intrabar structure (EMA 21 pullback & VWAP filter) and RSI momentum triggers, managing exits dynamically through ATR-based stop, take-profit, and trailing stop targets.
Core logic
• Long when RSI crosses above the threshold within an up-trend (EMA 50 > EMA 200) and price is above VWAP.
• Short when RSI crosses below threshold within a down-trend (EMA 50 < EMA 200) and price is below VWAP.
• Optional pullback confirmation to the 21-EMA for cleaner entries.
• Risk defined by ATR-multiples for stop-loss, take-profit, and an adaptive trailing stop.
• Automatic flat-out exit after a set number of bars (time-based close).
Best use
• 5 min – 15 min ETH/USDT charts (Binance, Bybit, Coinbase, etc.)
• Works with both spot and perpetual data.
• Tune ATR and RSI thresholds per venue; defaults are balanced for 0.05 % per-side fees.
Key parameters
• ATR SL × 1.6 ATR TP × 2.2 ATR Trail × 2.0
• RSI 50 cross | EMA 50/200 trend filter | VWAP confirmation
• Default position sizing = USD-based (e.g. $1 000 per trade).
Notes
• All orders and exits are simulated at bar close; use 1-minute bar magnifier for finer fill modeling.
• No repainting—uses only confirmed bar data.
• Best validated with ≥ 200 trades and profit factor > 1.25 over multi-month backtests.
DEMA Flow [Alpha Extract]A sophisticated trend identification system that combines Double Exponential Moving Average methodology with advanced HL median filtering and ATR-based band detection for precise trend confirmation. Utilizing dual-layer smoothing architecture and volatility-adjusted breakout zones, this indicator delivers institutional-grade flow analysis with minimal lag while maintaining exceptional noise reduction. The system's intelligent band structure with asymmetric ATR multipliers provides clear trend state classification through price position analysis relative to dynamic threshold levels.
🔶 Advanced DEMA Calculation Engine
Implements double exponential moving average methodology using cascaded EMA calculations to significantly reduce lag compared to traditional moving averages. The system applies dual smoothing through sequential EMA processing, creating a responsive yet stable trend baseline that maintains sensitivity to genuine market structure changes while filtering short-term noise.
// Core DEMA Framework
dema(src, length) =>
EMA1 = ta.ema(src, length)
EMA2 = ta.ema(EMA1, length)
DEMA_Value = 2 * EMA1 - EMA2
DEMA_Value
// Primary Calculation
DEMA = dema(close, DEMA_Length)
2H
🔶 HL Median Filter Smoothing Architecture
Features sophisticated high-low median filtering using rolling window analysis to create ultra-smooth trend baselines with outlier resistance. The system constructs dynamic arrays of recent DEMA values, sorts them for median extraction, and handles both odd and even window lengths for optimal smoothing consistency across all market conditions.
// HL Median Filter Logic
hlMedian(src, length) =>
window = array.new_float()
for i = 0 to length - 1
array.push(window, src)
array.sort(window)
// Median Extraction
lenW = array.size(window)
median = lenW % 2 == 1 ?
array.get(window, lenW / 2) :
(array.get(window, lenW/2 - 1) + array.get(window, lenW/2)) / 2
// Smooth DEMA Calculation
Smooth_DEMA = hlMedian(DEMA_Value, HL_Filter_Length)
🔶 ATR Band Construction Framework
Implements volatility-adaptive band structure using Average True Range calculations with asymmetric multiplier configuration for optimal trend identification. The system creates upper and lower threshold bands around the smoothed DEMA baseline with configurable ATR multipliers, enabling precise trend state determination through price breakout analysis.
// ATR Band Calculation
atrBands(src, atr_length, upper_mult, lower_mult) =>
ATR = ta.atr(atr_length)
Upper_Band = src + upper_mult * ATR
Lower_Band = src - lower_mult * ATR
// Band Generation
= atrBands(Smooth_DEMA, ATR_Length, Upper_ATR_Mult, Lower_ATR_Mult)
15min
🔶 Intelligent Flow Signal Engine
Generates binary trend states through band breakout detection, transitioning to bullish flow when price exceeds upper band and bearish flow when price breaches lower band. The system maintains flow state persistence until opposing band breakout occurs, providing clear trend classification without whipsaw signals during normal volatility fluctuations.
🔶 Comprehensive Visual Architecture
Provides multi-dimensional flow visualization through color-coded DEMA line, trend-synchronized candle coloring, and bar color overlay for complete chart integration. The system uses institutional color scheme with neon green for bullish flow, neon red for bearish flow, and neutral gray for undefined states with configurable band visibility.
🔶 Asymmetric Band Configuration
Features intelligent asymmetric ATR multiplier system with default upper multiplier of 2.1 and lower multiplier of 1.5, optimizing for market dynamics where upside breakouts often require stronger momentum confirmation than downside breaks. This configuration reduces false signals while maintaining sensitivity to genuine flow changes.
🔶 Dual-Layer Smoothing Methodology
Combines DEMA's inherent lag reduction with HL median filtering to create exceptional smoothing without sacrificing responsiveness. The system first applies double exponential smoothing for initial noise reduction, then applies median filtering to eliminate outliers and create ultra-clean flow baseline suitable for high-frequency and institutional trading applications.
🔶 Alert Integration System
Features comprehensive alert framework for flow state transitions with customizable notifications for bullish and bearish flow confirmations. The system provides real-time alerts on crossover events with clear directional indicators and exchange/ticker integration for multi-symbol monitoring capabilities.
🔶 Performance Optimization Framework
Utilizes efficient array management with optimized median calculation algorithms and minimal variable overhead for smooth operation across all timeframes. The system includes intelligent bar indexing for median filter initialization and streamlined flow state tracking for consistent performance during extended analysis periods.
🔶 Why Choose DEMA Flow ?
This indicator delivers sophisticated flow identification through dual-layer smoothing architecture and volatility-adaptive band methodology. By combining DEMA's reduced-lag characteristics with HL median filtering and ATR-based breakout zones, it provides institutional-grade flow analysis with exceptional noise reduction and minimal false signals. The system's asymmetric band structure and comprehensive visual integration make it essential for traders seeking systematic trend-following approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities for automated trading strategies.
Amir Mohammad LorHE MOST POWERFUL SMC INDICATOR EVER RELEASED ON TRADINGVIEW
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▸ Imbalance Zones + Order Flow Footprint overlay
▸ LIVE Win-Rate Dashboard → 97.3% (6-month verified backtest on 27 pairs)
▸ Dynamic Risk/Reward projection (1:3 to 1:15 live on chart)
▸ Smart Money Trap™ alerts (retail trap detection)
▸ Multi-timeframe confluence matrix (MTF dashboard)
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▸ Built-in Backtest Statistics panel (Win rate, Profit factor, Max DD, Sharpe 2.8)
ALERTS THAT ACTUALLY MAKE YOU MONEY
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Perfect for 1m scalping → 15m day-trade → 4h swing → daily position trading
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Put Option Profits inspired by Travis Wilkerson; SPX BacktesterPut Option Profits — Travis Wilkerson inspired. This tester evaluates a simple monthly SPX at-the-money credit-spread timing idea: enter on a fixed calendar rule (e.g., 1st Friday or 8th day with business-day shifting) at Open or Close, then exit exactly N calendar days later (first tradable day >= target, at Close). A trade is marked WIN if price at exit is above the entry price (1:1 risk proxy).
The book suggests forward testing 60-day and 180-day expirations to prove the concept. This tool lets you backtest both (and more) to see what actually works best. In the book, profits are taken when the spread reaches ~80% of max credit; losers are left to expire and cash-settle. This backtester does not model early profit-taking—every trade is held to the configured hold period and evaluated on price vs entry at the exit close. Think of it as a pure “set it and forget it” stress test. In live trading, you can still follow Travis’s 80% take-profit rule; TradingView just doesn’t simulate that here. Happy trading!
Features:
Schedule: Day-of-Month (with Prev/Next business-day shift, optional “stay in month”) or Nth Weekday (e.g., 1st Friday).
Entry timing: Open or Close.
Exit: N calendar days later at Close (holiday/weekend aware).
Filters: Optional EMA-200 “risk-on” filter.
Scope: Date range limiter.
Visuals: Entry/exit bubbles (paired colors) or simple win/loss dots.
Table: Overall Win% and N (within range).
Alerts: Entry alert (static condition + dynamic alert() message).
How to use:
[* ]Choose Start Mode (NthWeekday or DayOfMonth) and parameters (e.g., 1st Friday or DOM=8, PrevBizDay).
Pick Entry Timing (Open or Close).
Set Days In Trade (e.g., 150).
(Optional) Enable EMA filter and set Date Range.
Turn Bubbles on/off and/or Dots on/off.
Create alert:
Simple ping: Condition = this indicator -> Monthly Entry Signal -> “Once per bar” (Open) or “Once per bar close” (Close).
Rich message: Condition = this indicator -> Any alert() function call.
Notes:
Keep DOM shift in same month: when a DOM falls on a weekend/holiday, PrevBizDay/NextBizDay shift will stay inside the month if enabled; otherwise it can spill into the prior/next month. (Ignored for NthWeekday.)
Credits: Concept sparked by “Put Option Profits – How to turn ten minutes of free time into consistent cash flow each month” by Travis Wilkerson; this script is a neutral research tool (not financial advice).
EMA H/L 20-50 Table + RSI - KHALID ALADDIN🧾 Description
EMA H/L 20-50 Table + RSI — by Khalid Aladdin
A clean and minimal indicator designed for traders and analysts who prefer a quick glance at essential EMA values without any extra clutter on the chart.
📊 Features:
Displays precise values of EMA20 (High & Low) and EMA50 (High & Low) in a compact table below the chart.
Automatically updates values based on the current timeframe.
Includes RSI reading for momentum tracking.
Large, clear text with dark-theme friendly colors.
No lines or drawings — only a clean data panel.
✅ Perfect for:
Technical analysts, swing traders, and long-term investors who want an uncluttered view of trend levels and momentum strength.
XAUUSD 4H Candle Close Vertical Lines + Labels (debug)//@version=5
indicator("XAUUSD 4H Candle Close Vertical Lines + Labels (debug)", overlay=true)
// Detect when a new 4H candle closes
new_4h_candle = ta.change(time("240"))
// Debug: show tiny shape when detection happens (remove later if not needed)
plotshape(new_4h_candle, title="4H close detected", style=shape.triangleup, location=location.belowbar, size=size.tiny)
// When a new 4H candle closes, draw a vertical dotted blue line and a label
if new_4h_candle
// vertical line at current bar_index
line.new(
x1=bar_index,
y1=na,
x2=bar_index,
y2=na,
xloc=xloc.bar_index,
extend=extend.both,
color=color.new(color.blue, 0),
style=line.style_dotted,
width=1)
// label at the low of the bar (adjust y if you want it elsewhere)
label.new(
x=bar_index,
y=low,
text="4H Close " + str.format("{0,time,HH:mm}", time),
xloc=xloc.bar_index,
style=label.style_label_down,
color=color.new(color.blue, 85),
textcolor=color.white,
size=size.tiny)
Aroon RSI Logic — Customizable + No-Trade RSI ZoneThis indicator — **“Aroon RSI Logic — Customizable + No-Trade RSI Zone”** — is designed to help traders identify high-probability turning points in the market by combining **trend momentum (Aroon)** with **relative strength dynamics (RSI)**, while also protecting against emotional or impulsive trading through structured filters and psychological safeguards.
---
### 🧠 **Concept Overview**
At its core, the system balances **trend confirmation** with **momentum moderation**. It seeks to enter trades only when technical alignment suggests both exhaustion of a recent move and early signs of a potential reversal — while filtering out market noise and emotionally driven trades in neutral or extreme conditions.
This design encourages **discipline**, **patience**, and **objectivity**, three of the most critical psychological traits of successful traders.
---
### 📊 **Core Components**
#### 1. **Aroon Structure Awareness**
The Aroon indicator measures how recently price has reached a new high or low within a specific period, reflecting trend strength and potential exhaustion.
* When **Aroon Down** approaches the predefined target level, it suggests the market has not made new lows for several bars — an early indication that bearish momentum may be fading.
* Conversely, when **Aroon Up** nears the target, bullish strength may be waning.
This mechanism trains the trader’s mind to **look for transitions** — moments when dominant sentiment begins to lose control.
---
#### 2. **RSI Momentum Confirmation**
The RSI (Relative Strength Index) and its smoothed version act as dual filters to confirm emotional extremes and trend shifts in momentum.
* When RSI significantly diverges from its smoothed version, it often reflects **emotional spikes** or **unsustainable acceleration**.
* The system only allows trades when the RSI difference remains within a defined limit, fostering entries during **balanced, rational phases** of the market rather than moments of panic or euphoria.
This approach supports **emotional discipline**, discouraging entries when crowd psychology dominates decision-making.
---
#### 3. **No-Trade RSI Zone**
A critical safeguard is the **“No-Trade Zone”**, defined by specific RSI thresholds.
When RSI is too low (oversold) or too high (overbought), traders are often tempted to act impulsively — either out of fear or greed.
By preventing entries during these phases, the indicator helps traders **avoid psychological traps** such as:
* Chasing reversals prematurely.
* Getting caught in continuation moves driven by crowd emotion.
It reinforces a mindset of **restraint** and **selective participation**.
---
#### 4. **Time-Based Discipline Filter**
The session filters allow trading only within designated market hours (for example, morning and afternoon sessions).
This enforces **structured activity**, reducing exposure to low-volume, erratic periods when decision fatigue or overtrading tendencies often arise.
It mirrors the behavior of professional traders who work within time-framed playbooks rather than emotional impulses.
---
### 🟢 **Buy Logic**
Buy opportunities arise when:
* Downward momentum (Aroon Down) weakens near the target level,
* RSI behavior supports balanced momentum or mild recovery, and
* Emotional extremes are absent.
This combination reflects a **calm, data-driven reversal environment**, ideal for contrarian but controlled entries.
---
### 🔴 **Sell Logic**
Sell signals appear when:
* Upward momentum (Aroon Up) softens around the target,
* RSI confirms slowing bullish pressure, and
* Market sentiment shows fatigue without panic.
It aligns with a **psychologically sound exit or shorting scenario**, avoiding reactionary decisions.
---
### 🧩 **Psychological Philosophy**
This tool isn’t just a signal generator — it’s a **trader’s behavioral framework**.
By combining structured logic, volatility filters, and emotional control zones, it helps cultivate:
* **Patience** to wait for qualified setups.
* **Confidence** to act when all conditions align.
* **Detachment** from impulsive market movements.
It transforms trading from a reactive habit into a **strategic execution process** rooted in logic and emotional balance.
---
鲨鱼交易指标（创始版）If you need more good indicators, please contact me.
需要更多无敌指标，请联系我：
钉钉：shayv888
wx:19117160239
tg:@SYSY11123
Current State: Overbought/Oversold + Trend KAPIL GOYALThis Pine Script calculates the RSI (Relative Strength Index) and compares it against preset thresholds to classify the market as Deep/Moderate/Mild Oversold or Deep/Moderate/Mild Overbought. It also checks whether the current price is above or below the 50-day moving average to define the trend as Uptrend or Downtrend. The script then combines both signals into one clean, real-time text output—like “Moderate Oversold + Uptrend”—displayed in a small table at the chart corner. It’s designed to give a quick, clutter-free snapshot of the current market state without plotting multiple indicators.
How to use:
Apply this indicator to any chart (e.g., Tesla on TradingView). It will show one line of text describing the current condition based on RSI and trend. Use it for quick decision cues:
“Oversold + Uptrend” suggests potential accumulation or rebound zones.
“Overbought + Downtrend” warns of exhaustion or profit-taking zones.
Combine it with your entry/exit strategy—like your 30DMA/50DMA rule or momentum filters—to confirm timing rather than act alone.
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD indicator. It combines these three indicators. It tells whether the trend is bullish or bearish. Multi-timeframe.
EPS Estimate Profile [SS]This is the EPS Estimate Profile indicator.
What it does
This indicator
Collects all EPS estimates over the course of a lookback and BINS them (sorts them into 10 equal sized categories).
Analyzes the returns from earnings releases based on the EPS estimate and the reaction.
Calculates the number of bullish vs bearish responses that transpired based on the EPS estimate profile.
Calculates the expected Open to High and Open to Low ATR based on the EPS estimate using regression.
Toggle to actual EPS release to compare once earnings results are released.
How to Use it
This indicator can be used to gain insight into whether an earnings release will be received bullishly or bearishly based on the company's EPS estimate.
The indicator allows you to see all historic estimates and how the market generally responded to those estimates, as well as a breakdown of how many times estimates in those ranges produced a bullish response or a bearish response to earnings.
Examples
Let's look at some examples:
Here is MSFT. MSFT's last EPS estimate was 3.672.
If we consult the table, we can see the average return associated with this estimate range is -4%.
Now let's flip to the Daily timeframe and take a look:
MSFT ended the day red and continued to sell into the coming days.
Let's look at another example:
MCDs. Last earnings estimate was 3.327, putting it at the top of the range with an average positive return of 4%.
Let's look on the daily:
We can see that the earnings had a huge, bullish effect on MCD, despite them coming in below their estimates.
If we toggle the indicator to "Actual" EPS release, to see the profile of Actual earnings releases vs response, we get this:
Since MCD under-performed, they were still at the top of the profile; but, we can see that the expected returns are more muted now, though still positive. And indeed, the reaction was still positive.
Distinguishing % Bullish/Bearish to Avg Returns
You will see the profile table displays both the average returns and the percent of bullish/bearish responses. In some cases, you will see that, despite a negative return, the profile reveals more bullish reactions than bearish.
What does this mean?
It means, despite there being more bullish responses, when bearish responses happen they tend to be more severe and profound, vs bullish responses likely are muted.
This can alert you to potential downside risk and help you manage risk accordingly should you elect to trade the earnings release.
ATR Prediction
You will notice in the bottom right corner of the screen a secondary table that lists the predicted open to high ATR and open to low ATR.
This is done using RAW EPS estimates (or raw ACTUAL estimates depending on which you select) and performing a regression to determine the expected ATR.
This is only for reference, the analysis should focus around the historic profile of return estimates and actual return values.
IMPORTANT NOTE: You MUST be on the Monthly timeframe to use this. Otherwise, you will get an error. If, on certain tickers with a huge history, such as MSFT and XOM or OXY, you get an error, you can simply reduce the lookback length to 80 and this will resolve the issue.
Conclusion
And that's the indicator!
A blend of some light math and fundamentals! A real joy honestly.
Hope you enjoy it!
Fisher MPzFisher MPz - Multi-Period Z-Score Fisher Transform
Overview
An enhanced Fisher Transform that uses multi-period analysis and improved statistical methods to provide more reliable trading signals with the goal of fewer false positives.
Evolution Beyond Traditional Fisher Transform
While the classic Fisher Transform uses simple price normalization and basic smoothing, Fisher MPz introduces several key enhancements:
- Multi-period composite instead of single timeframe analysis
- Robust z-score normalization using median/MAD rather than mean/standard deviation
- Winsorization to handle outliers and price spikes
- Dynamic clipping that adapts to market volatility
- Kalman filtering for superior noise reduction vs. traditional EMA smoothing
These improvements result in cleaner signals, better adaptability to different market conditions, handles trending markets without over-saturation at extreme values, and reduced false signals compared to the standard Fisher Transform.
Key Features
Multi-Period Analysis
- Three Timeframe Approach: Simultaneously analyzes short (default 8), medium (default 13), and long (default 26) periods
- Weighted Composite: Combines all three periods using customizable weights for optimal signal generation
- Individual Period Display: Optional visualization of each period's Fisher Transform for deeper analysis
Advanced Statistical Methods
Robust Z-Score Calculation
- Uses median and MAD (Median Absolute Deviation) instead of mean and standard deviation
- More resistant to outliers and extreme price movements
- Provides stable normalization across varying market conditions
Winsorization
- Caps extreme price values at specified percentiles (default 5th and 95th)
- Reduces the impact of price spikes and anomalies
- Configurable lookback period for threshold calculation
Dynamic Z-Score Clipping
- Automatically adjusts clipping levels based on recent volatility
- Tighter bounds in calm markets (0.05) for precision
- Wider bounds in volatile markets (0.2) to capture significant moves
- Uses ATR-based volatility measurement
Kalman Filter Smoothing
- Optional advanced noise reduction using Kalman filtering
- Superior to traditional EMA smoothing for optimal signal extraction
- Configurable process noise (Q) and measurement noise (R) parameters
- Fallback to traditional smoothing factor available
How to Use
Basic Interpretation
- Above Zero: Bullish momentum
- Below Zero: Bearish momentum
- Extreme Values: Potential overbought/oversold conditions
- Crossovers: Entry/exit signals when composite crosses trigger line
Customizable Settings
Periods: Adjust based on your trading timeframe
- Lower values (3-10): More sensitive, suitable for scalping
- Medium values (10-20): Balanced for swing trading
- Higher values (20-50): Smoother for position trading
Weights: Customize responsiveness
- Increase short weight: More reactive to recent price changes
- Increase long weight: More stability and trend confirmation
Kalman Settings
- Lower Q (0.001-0.02): Smoother, more filtered signals
- Higher Q (0.02-0.1): More responsive to price changes
- Lower R (0.01-0.05): Trust data more, less filtering
- Higher R (0.1-1.0): More skeptical of data, more smoothing
Stockbee 8% 4% 9M + MA CrossoversThis is another version of my Stockbee 9% 4% 9M script, now enhanced with moving average crossovers to highlight trend shifts more effectively.
The crossovers are displayed in the same visual style as the 9 million volume indicator from the original script but use different shapes and forms for better distinction.
All crossover visuals can be customized to your liking—you can adjust their appearance to fit your charting style or preference.
ORB 30 Alerts (ATH)Overview
ATH ORB 30m automates the Opening Range Breakout (ORB) process across multiple global sessions — Tokyo, London, and New York — and delivers clean, consolidated alerts when fresh breakouts occur.
It’s built for traders who track several tickers and want precise, non-repeating signals that reflect genuine momentum shifts, not constant noise.
How it works
The script defines a 30-minute Opening Range (ORB) for each enabled session and plots its high, low, and midpoint levels.
Every 10-minute candle close is evaluated to detect first-time crosses of those range boundaries — upward or downward.
Once a breakout triggers, that side’s alert is disabled until price returns inside the range, where the system automatically re-arms.
Multiple triggers in the same bar are batched into one combined alert, listing all symbols that broke out.
A built-in debug panel and optional chart labels visualize each trigger and re-arm event in real time.
Key features
-Multi-session ORB logic (Tokyo, London, New York)
-10-minute confirmation filter to validate breakouts
-Automatic alert re-arming when price re-enters range
-Combined per-bar alert messages (no duplicates)
-Optional on-chart labels and debug diagnostics
-Optimized for watchlists and multi-symbol scanners
Usage
Designed for day traders and momentum scalpers, this tool highlights early directional strength during market opens.
Add it to your chart, enable your preferred sessions, and set alert conditions for “ORB Breakouts (BUY),” “ORB Breakdowns (SELL),” or "Any alert() function call" You’ll receive one concise message each bar showing exactly which symbols broke out and in which direction.
DISCLAIMER:
This script is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any security.
Always perform your own due diligence and backtesting before using any trading strategy live.
Trading involves risk; past performance does not guarantee future results.
Session SFPThis script is a powerful, multi-timeframe tool designed to identify high-probability Swing Failure Patterns (SFPs) at key historical levels.
Instead of looking for traditional "pivots" (like a 3-bar swing), this indicator finds the actual high and low of a previous higher-timeframe (HTF) bar (e.g., the previous weekly high/low) and waits for a lower-timeframe (LTF) candle to sweep that level and fail.
This allows you to spot liquidity sweeps and potential reversals at significant, structural price points.
How It Works
The indicator's logic is based on a simple, two-timeframe process:
Level Detection: First, it finds the high and low of the previous bar on your chosen "Level Timeframe" (e.g., W for Weekly, D for Daily). It plots these as small 'x' markers on your chart.
SFP Identification: Second, it watches price action on a lower "SFP Timeframe" (e.g., 240 for 4H). A potential SFP is identified when a candle's wick sweeps above a key high or below a key low.
Confirmation: The SFP is only confirmed after the SFP candle closes back below the high (for a bearish SFP) or above the low (for a bullish SFP). It then waits for a set number of "Confirmation Bars" to pass. If price does not close back over the level during this window, the signal is locked in, and a label is printed.
How to Use (Key Settings)
Level Timeframe (Most Important): This is the timeframe for the levels you want to trade. Set this to W to find SFPs of the previous weekly high/low. Set it to D to find SFPs of the previous daily high/low.
SFP Timeframe: This is the timeframe you want to use to find the SFP candle itself. This should be lower than your Level Timeframe (e.g., 240 or 60).
Level Lookback: This controls how many old levels the script will track. A value of 10 on a W Level Timeframe will track the highs and lows of the last 10 weeks.
Confirmation Bars: This is your "patience" filter. It's the number of SFP Timeframe bars that must close without reclaiming the level after the SFP. A value of 0 will confirm the SFP immediately on the candle's close.
Enable Wick % Filter: A quality filter. If checked, this ensures the SFP candle's rejection wick is a significant percentage of the candle's total range.
Chart Visuals
'x' Markers: These are the historical highs and lows from your "Level Timeframe". You can turn these on or off in the settings.
SFP Label: When an SFP is fully confirmed, a label (Bearish SFP or Bullish SFP) will appear, detailing the level that was swept and the timeframes used.
SFP Line: A solid horizontal line is drawn from the 'x' marker to the SFP candle to highlight the sweep.
Colored Boxes (Optional): If you are viewing a chart timeframe lower than your "SFP Timeframe", you can enable background boxes to highlight the exact SFP candle and its confirmation bars.
Advanced Volume indicator This indicator shows 4H volume on the 1H chart.
I am using this one for my swing trade system on the 1H chart, which I will also publish later.
My entry signal is a extraordinary volume candle, a red threshold line can mark “very high volume” zones (SMA × multiplier).
ORB - Openning Range BreakoutORB - Opening Range Breakout (Indicator)
This indicator visualizes the Opening Range Breakout (ORB) for the New York market session (9:30 AM – 4:00 PM NY), highlighting the High and Low of the first 5 minutes of the session.
Key Features:
Automatically calculates the High and Low of the 9:30 AM candle and updates if subsequent candles expand the range within the first 5 minutes.
Plots invisible lines representing the High and Low of the opening range throughout the session.
Fills the area between High and Low with a semi-transparent background, clearly showing the opening range zone.
Works on any intraday timeframe and adapts automatically to the NY session.
Perfect for breakout strategies, visually marking early support and resistance zones.
How to Use:
The shaded area between High and Low indicates the opening range.
Traders can watch for breakouts above the High or breakdowns below the Low for potential entry signals.
Can be combined with trend or volume indicators for confirmation.
Notes:
The session is automatically calculated using New York time.
Background transparency can be adjusted to your preference.
