Nosreme v6 - Kulture MetricsNosreme v6 — Kulture Metrics
The evolution of Klarity.
Nosreme brings refined volume intelligence and conviction-based trade mapping to the Kulture Metrics framework.
It only triggers when trend structure and real participation align — filtering false breakouts and fake volume.
Core Elements
• Simple Moving Average (SMA) defines trend bias
• Volume SMA filter validates momentum participation
• ATR-based dynamic risk levels project targets & stops
• Visual “BUY/SELL (Nosreme)” markers at confirmed triggers
• Background shading for directional bias (green = bullish, red = bearish)
Usage
Add to chart, any asset or timeframe (ideal: 15 min – 4 h).
Set alerts “Once per bar close” on Nosreme BUY or Nosreme SELL.
Tune ATR Multiplier / R:R ratio to match volatility profile.
Kulture Metrics • Detroit × Atlanta • Billions Mindset • © 2025
Precision. Discipline. Nosreme.
Analisis Trend
Dow Jones Trading System with PivotsThis TradingView indicator, tailored for the 30-minute Dow Jones (^DJI) chart, supports DIA options trading with a trend-following approach. It features a 30-period SMA (blue) and a 60-period SMA (red), with an optional 90-period SMA (orange) drawn from rauItrades' Dow SMA outfit. A bullish crossover (30 SMA > 60 SMA) displays a green "BUY" triangle below the bar for potential DIA longs, while a bearish crossunder (30 SMA < 60 SMA) shows a red "SELL" triangle above for shorts or exits. The background turns green (bullish) or red (bearish) to indicate trend bias. Pivot points highlight recent highs (orange circles) and lows (purple circles) for support/resistance, using a 5-bar lookback. Alerts notify for crossovers.
NASDAQ Trading System with PivotsThis TradingView indicator, designed for the 30-minute NASDAQ (^IXIC) chart, guides QQQ options trading using a trend-following strategy. It plots a 20-period SMA (blue) and a 100-period SMA (red), with an optional 250-period SMA (orange) inspired by rauItrades' NASDAQ SMA outfit. A bullish crossover (20 SMA > 100 SMA) triggers a green "BUY" triangle below the bar, signaling a potential long position in QQQ, while a bearish crossunder (20 SMA < 100 SMA) shows a red "SELL" triangle above, indicating a short or exit. The background colors green (bullish) or red (bearish) for trend bias. Orange circles (recent highs) and purple circles (recent lows) mark support/resistance levels using 5-bar pivot points.
S&P Trading System with PivotsThe S&P Trading System with Pivots is a TradingView indicator designed for the 30-minute SPX chart to guide SPY options trading. It uses a trend-following strategy with:
10 SMA and 50 SMA: Plots a 10-period (blue) and 50-period (red) Simple Moving Average. A bullish crossover (10 SMA > 50 SMA) signals a potential buy (green triangle below bar), while a bearish crossunder (10 SMA < 50 SMA) signals a sell or exit (red triangle above bar).
Trend Bias: Colors the background green (bullish) or red (bearish) based on SMA positions.
Pivot Points: Marks recent highs (orange circles) and lows (purple circles) as potential resistance and support levels, using a 5-bar lookback period.
Global M2 Overlay 5 DaysTrading + Offset -AlexBank🌍 This indicator visualizes the Global M2 Money Supply — a combined estimate of the total liquid money circulating in major economies worldwide — directly overlaid on your active chart (for example, XAU/USD).
It allows traders to see how global liquidity evolves in relation to asset prices such as gold, Bitcoin, or equities.
In simple terms, M2 reflects how much liquid capital exists in the global financial system.
When M2 expands, liquidity increases — which can fuel asset price growth.
When M2 contracts, liquidity tightens — often signaling risk-off periods or deflationary pressures.
⚙️ This indicator aggregates national M2 data from multiple economies (United States, Eurozone, China, Japan, UK, etc.), converted to USD equivalents via live FX rates, giving a global view of liquidity trends.
Indicator Features
🧭 Overlay on any chart — plots the global M2 line directly on top of your active asset (e.g. XAU/USD, BTC/USD), allowing direct visual comparison.
⏩ Day offset control — shift the M2 curve forward or backward in time (in real trading days) to test how global liquidity leads or lags asset prices.
Example: shifting +90 days means the M2 data appears 90 trading days later (not calendar days, since weekends are excluded).
📅 5-day trading week logic — automatically converts real days into trading days, ensuring accurate offsets that match market calendars.
📊 Optional moving average — smooths the M2 line to better visualize long-term liquidity trends.
🎚️ Manual scaling (optional) — adjust the height of the M2 curve to visually align it with your charted asset’s price range (does not affect data values).
💡 How to Use
1/ Apply the indicator to your preferred chart (e.g., Gold / XAUUSD).
2/ Adjust the time offset parameter to see how changes in global liquidity precede or follow price movements.
3/ Use on DAILY TimeFrame for clear visibility
Enjoy !
TTM Squeeze Pro - IntradayTTM Squeeze Pro – Intraday (AI MTF Edition)
Design Rationale
This indicator is built to help traders identify when markets are consolidating, when volatility is building (squeeze), and when a breakout or trend is starting — all across multiple timeframes.
The design combines three powerful ideas:
Volatility Compression & Expansion (TTM Squeeze Logic):
By comparing Bollinger Bands (BB) and Keltner Channels (KC), the indicator detects when volatility contracts (BB inside KC). These moments often precede explosive moves. White dots on the BB basis line mark these “squeeze” periods.
Trend Strength & Direction (ADX System):
The ADX (Average Directional Index) measures how strong a trend is.
ADX rising above the threshold → trending market.
ADX falling below the threshold → consolidation.
The system classifies each bar as Trending Up, Trending Down, Consolidating, or Neutral, depending on ADX and momentum direction.
Multi-Timeframe (MTF) Alignment:
The same logic is applied to several timeframes (1m, 3m, 5m, 15m, 30m, 1h).
A compact table at the top-right shows each timeframe’s trend and squeeze strength.
This helps traders see whether short-term and higher timeframes are aligned, improving trade confidence and timing.
The AI Enhancer automatically adjusts all parameters (ADX, BB, KC lengths, and thresholds) depending on the current chart timeframe, keeping signals consistent between scalping and swing trading setups.
Trend and squeeze strengths are normalized on a 1–9 scale, giving users a quick numerical sense of trend power and squeeze intensity. The design emphasizes clarity, speed, and adaptability — critical for intraday trading decisions.
How to Use
Identify a Squeeze Setup:
Look for white dots on the chart — this marks low volatility and potential energy buildup.
Wait for Breakout Confirmation:
When the white dots disappear, volatility expands.
Check the MTF table — if multiple timeframes show green (uptrend) or red (downtrend) in the “TR” column, momentum is aligning.
Enter the Trade:
Go long if breakout happens above BB basis and most timeframes show green.
Go short if breakout happens below BB basis and most timeframes show red.
Exit or Manage Position:
When new white dots appear → volatility contracting again → consider exiting or tightening stops.
If MTF colors become mixed → trend losing strength.
In Summary
The TTM Squeeze Pro – Intraday AI MTF Indicator blends volatility analysis, trend strength, momentum, and multi-timeframe alignment into one adaptive tool.
Its design aims to simplify complex market behavior into a visual, data-backed format — enabling traders to catch high-probability breakout trends early and avoid false moves during low-volatility phases.
BATIK SMC🌀 BATIK SMC — Smart Money Concepts by YB Pips
BATIK SMC is a professional-grade Smart Money Concepts system refined under the Batik Syndicate methodology.
It combines institutional structure logic with precision-engineered visualization tools for traders who operate with discipline and intent.
🧭 Core Functions
Market Structure: automatic detection of BOS (Break of Structure) & CHoCH (Change of Character)
Order Blocks: internal & swing OB identification with real-time mitigation updates
Fair Value Gaps (FVG): dynamic detection across multiple timeframes
Equal Highs / Lows: liquidity points & sweep detection
Premium / Discount Zones: clear equilibrium mapping for high-RR setups
Smart Candle Coloring: visualize real-time trend bias directly on chart
Custom Alerts: receive instant BOS, CHoCH, OB breakout, and FVG notifications
💎 Why BATIK SMC
Developed for traders who follow structure, liquidity, and imbalance — not indicators.
It retains full Smart Money logic while carrying the signature Batik visual identity and philosophy:
“Trade where institutions position themselves — not where the crowd reacts.”
The Beginning MasterThe Beginning Master
Description:
The Beginning Master is a structured micro-futures scalping strategy engineered for small accounts, particularly those trading micro futures such as M2K (Micro Russell 2000), MNQ (Micro Nasdaq), or MES (Micro E-mini S&P 500).
It combines multiple layers of trend, momentum, and volatility logic to identify short-term directional opportunities while maintaining strict capital protection.
The system evaluates:
Trend bias using a dual-moving-average framework that reacts to shifts in short-term momentum.
Momentum strength and confirmation through adaptive readings of directional movement and relative-strength behavior to avoid low-energy markets.
Volatility awareness, adjusting stops and targets based on real-time range analysis so each trade risks only a small, consistent fraction of equity.
Session filters, restricting activity to high-liquidity U.S. hours for more stable fills.
Capital management tools, including a daily loss limit and a unique “profit floor” safeguard that locks gains once a target profit is reached, preventing drawdown from giving back realized profit.
The strategy is optimized for:
Micro-futures traders starting with modest capital (~$100)
Any micro futures instrument (M2K, MNQ, MES, etc.)
Fast execution via automated trade platforms (e.g., TradersPost)
Consistent, repeatable setups rather than prediction
Default settings:
Initial capital: $100
Daily loss cap: $15
Profit-floor protection: $25
Position size: 1 contract
Realistic commission and tick size from exchange data
⚠️ Disclaimer:
This publication is for educational and research purposes only.
It is not financial advice or a solicitation to trade.
Performance results are hypothetical and do not guarantee future returns.
MTF-IndSunTabThis Indicator in Table format gives reading of different indicators for convenience...
Kindly check all parameters before you use, indicators are just indicators to be used like an indicator they are not final decision makers...
Buy And Hold Performance Screener - [JTCAPITAL]Buy And Hold Performance Screener – is a script designed to track and display multi-asset “buy and hold” performance curves and performance statistics over defined timeframes for selected symbols. It doesn’t attempt to time entries or exits; rather, it shows what would happen if one simply bought the asset at the defined start date and held it.
The indicator works by calculating in the following steps:
Start Date Definition
The script begins by reading an input for the start date. This defines the bar from which the equity curves begin.
Symbol Definitions & Close Price Retrieval
The script allows the user to specify up to ten tickers. For each ticker it uses request.security() on the “1D” timeframe to retrieve the daily close price of that symbol.
Plot Enable Inputs
For each ticker there is an input boolean controlling whether the equity curve for that ticker should be plotted.
Asset Name Cleaning
The helper function clean_name(string asset) => … takes the asset string (e.g., “CRYPTO:SOLUSD”) and manipulates it (via string splitting and replacements) to derive a cleaned short name (e.g., “SOL”). This name is used for visuals (labels, table headers).
Equity Curve Calculation (“HODL”)
The helper function f_HODL(closez) defines a variable equity that assumes a starting equity of 1 unit at the start date and then multiplies by the ratio of each bar’s close to the prior bar’s close: i.e. daily compounding of returns.
Performance Metrics Calculation
The helper function f_performance(closez) calculates, for each symbol’s close series, the percentage change of the current close relative to its close 30 days ago, 90 days ago, 180 days ago, 1 year ago (365 days), 2 years ago (730 days) and 3 years ago (1095 days).
Equity Curve Plots
For each ticker, if the corresponding plot input is true, the script assigns a plotted variable equal to the equity curve value. Its then drawing each selected equity curve on the chart, each in a distinct color.
Table Construction
If the plottable input is true, the script constructs a table and populates it with rows and column corresponding to the assigned tickers and the set 6 timeframes used for display.
Buy and Sell Conditions:
Since this is strictly a “buy-and-hold” performance screener, there are no explicit buy or sell signals generated or plotted. The script assumes: buy at the defined start_date, hold continuously to present. There are no filters, no exit logic, no take-profit or stop-loss. The benefit of this approach is to provide a clean benchmark of how selected assets would have performed if one simply adopted a passive “buy & hold” approach from a given start date.
Features and Parameters:
start_date (input.time) : Defines the date from which performance and equity curves begin.
ticker1 … ticker10 (input.symbol) : User-selectable asset symbols to include in the screener.
plot1 … plot10 (input.bool) : Boolean flags to enable/disable plotting of each asset’s equity curve.
plottable (input.bool) : Flag to enable/disable drawing the performance table.
Colored plotting + Labels for identifying each asset curve on the chart.
Specifications:
Here is a detailed breakdown of every calculation/variable/function used in the script and what each part means:
start_date
This is defined via input.time(timestamp("1 Jan 2025"), title = "Start Date"). It allows the user to pick a specific calendar date from which the equity curves and performance calculations will start.
ticker1 … ticker10
These inputs allow the user to select up to ten different assets (symbols) to monitor. The script uses each of these to fetch daily close prices.
plot1 … plot10
Boolean inputs controlling which of the ten asset equity curves are plotted. If plotX is true, the equity curve for ticker X will be visible; otherwise it will be not plotted. This gives the user flexibility to include or exclude specific assets on the chart.
Returns the cleaned asset short name.
This provides friendly text labels like “BTC”, “ETH”, “SOL”, etc., instead of full symbol codes.
The choice of distinct colours for each asset helps differentiate curves visually when multiple assets are overlaid.
Colour definitions
Variables color1…color10 are explicitly defined via color.rgb(r,g,b) to give each asset a unique colour (e.g., red, orange, yellow, green, cyan, blue, purple, pink, etc.).
What are the benefits of combining these calculations?
By computing equity curves for multiple assets from the same start date and overlaying them, you can visualise comparative performance of different assets under a uniform “buy & hold” assumption.
The performance table adds multi-horizon returns (30 D, 90 D, 180 D, 1 Y, 2 Y, 3 Y) which helps the user see both short-term and longer-term performance without having to manually compute returns.
The use of daily close data via request.security(..., "1D") removes dependency on the chart’s timeframe, thereby standardising the comparison across assets.
The equity curve and table together provide both visual (curve) and numerical (table) summaries of performance, making it easier to spot trends, divergences, and cross-asset comparisons at a glance.
Because it uses compounding (equity := equity * (closez / closez )), the curves reflect the real growth of a 1-unit investment held over time, rather than only simple returns.
The labelling of curves and the color-coding make the multi-asset overlay easier to interpret.
Using a clean start date ensures that all curves begin at the same point (1 unit at start_date), making relative performance intuitive.
Because of this, the script is useful as a benchmarking tool: rather than trying to pick entries or exit points, you can simply compare “what if I had held these assets since Jan 1 2025” (or your chosen date), and see which assets out-/under-performed in that period. It helps an investor or trader evaluate the long-term benefits of passive vs. active management, or of allocation decisions.
Please note:
The script assumes continuous daily data and does not account for dividends, fees, slippage, or tax implications.
It does not attempt to optimise timing or provide trading signals.
Returns prior to the start date are ignored (equity only begins once time >= start_date).
For newly listed assets with fewer than 365 or 730 or 1095 days of history, the longer-horizon returns may return na or misleading values.
Because it uses request.security() without specifying lookahead, and on “1D” timeframe, it complies with standard usage but you should verify there is no look-ahead bias in your particular setup.
ENJOY!
BB LONG 2BX & FVB StrategyThis Strategy is optimized for the 2h timeframe. Happy Charting and you're welcome!
**BB LONG 2BX & FVB Strategy – Simple Text Guide**
---
### **What It Does**
A **long-only trading strategy** that:
- Enters on **strong upward momentum**
- Adds a second position when the trend gets stronger
- Takes profits in parts at **smart price levels**
- Exits fully if the trend weakens or reverses
---
### **Main Tools Used**
| Tool | Simple Meaning |
|------|----------------|
| **B-Xtrender (Oscillator)** | Measures speed of price move. Above 0 = bullish, below 0 = bearish |
| **Weekly & Monthly Timeframes** | Checks if higher timeframes agree with the trade |
| **Red ATR Line** | A moving stop-loss that follows price up |
| **Fair Value Bands (1x, 2x, 3x)** | Profit targets that adjust to market volatility |
---
### **When It Enters a Trade (Long)**
**First Entry:**
- Weekly momentum is **rising**
- Monthly momentum is **positive or increasing**
- No current position
**Second Entry (Pyramiding):**
- Already in trade
- Price breaks **above the Red ATR line** → add same size again
(Max 2 total entries)
---
### **When It Takes Profit (Scaling Out)**
| Level | Action |
|-------|--------|
| **1x Band** | Sell **50%** when price pulls back from this level |
| **2x Band** | Sell **50%** when price pulls back from this level |
| **3x Band** | **Exit everything** when price pulls back from this level |
> You can hit 1x and 2x **multiple times** – it will keep taking 50% each time
---
### **When It Exits Fully (Closes Everything)**
1. Price **closes below Red ATR line**
2. Weekly momentum shows **2 red bars in a row, both falling**
3. Weekly momentum **crosses below zero** AND price is below Red ATR
4. Weekly momentum **drops sharply** (more than 25 points in one bar)
> After full exit, it **won’t re-enter** unless price comes back below 2x band
---
### **Alerts You Get**
Every time price **touches** a profit band, you get an alert:
- “Price touched 1x band from below”
- “Price touched 1x band from above”
- Same for **2x** and **3x**
> One alert per touch, per bar
---
### **On the Chart – What You See**
- **Histogram bars (weekly momentum)**
Lime = up, Red = down
**Yellow highlight** = warning (exit soon)
- **Red broken line** = stop-loss level
- **Blue line** = fair middle price
- **Orange, Purple, Pink lines** = 1x, 2x, 3x profit targets
---
### **Best Used On**
- Daily or 4-hour charts
- Strong trending assets (like Bitcoin, Tesla, S&P 500)
---
### **Quick Rules Summary**
| Do This | When |
|--------|------|
| **Enter** | Weekly up + monthly support |
| **Add more** | Price breaks above Red line |
| **Take 50% profit** | Price pulls back from 1x or 2x |
| **Exit all** | Red line break, weak momentum, or 3x hit |
---
**Simple Idea:**
**Ride strong trends, add when confirmed, take profits in chunks, cut losses fast.**
Strong PivotsThis finds pivots based on your inputs (number of candles back and forward that are above or below the range of the potential pivot points) and then optionally changes the color to help you visually identify the pivot. You can also specify pivots as strong pivots if they reverse in 1 time segment beyond a certain percentage (wick % of full candle range).
For example, if the pivot is at a high point but has a green body candle and a wick > 35% of the candle, it will change the body color to red to help visually understand that the candle can be considered a strong part of the downtrend, regardless of it closing green. This will help your mind interpret the top pivot candle as part of the potential trend reversal for the following candles and could even be used as part of your strategy ruleset.
Liquidity ToolkitKey Points:
Liquidity Toolkit is your liquidity companion for monitoring and anticipating price action.
Liquidity Toolkit combined the power of the Liquidity Status indicator with the potency of Price Triggers.
Liquidity Status indicates if the current current liquidity environment is bullish or bearish.
Price triggers highlight price levels where supports, resistances, and trend-changes are likely to occur.
Together, they create a comprehensive and actionable view of the market.
Summary
The Liquidity Toolkit (TK) is designed as a one-stop-shop indicator by combining novel liquidity metrics with traditional and impactful price measurements. In combination, TK grants unparalleled views of the market through effective yet simple displays.
The TK indicator contains two separate by synergistic algorithms: the Liquidity Status algorithm, which measures liquidity to determine if outlooks are bearish or bullish; and the Price Triggers algorithm which analyzes price-action to determine points of support and resistances.
Example 1 :
Example 2 :
Example 3 :
Details
Liquidity Status
Liquidity Status (LS) measures liquidity and produces either `Bullish` or `Bearish` indications depending on the current liquidity status.
Bullish indications indicate that the overall flow of liquidity is supportive of bullish price and bearish indications indicate that the overall flow of liquidity is supportive of bearish price action.
LS is displayed in two ways:
Candle-Coloring: if candles are green, liquidity status is bullish and if candles are red, liquidity status is bearish.
Text Display: Bearish and/or Bullish is displayed via text as well.
Price Triggers
Price Triggers (PT) measure price action and report their findings on several timeframes:
1-Minute
5-Minute
60-Minute
1-Day
1-Week
TK graphs the PTs based on the chart interval – only the higher PTs are display (i.e.: On the 1-Hour chart, the 5-, and 1-Min PTs will not be displayed).
Example 4
In additional to showing price-levels of support and resistance, Price Triggers also display the relative strength of these supports and resistances by displaying the Trigger Strengths. These represent areas of influence.
Opportunities often arise when PTs squeeze each other, often forcing spot to make a large move – as can be seen below:
Example 5
Frequently Asked Questions
How can I get access to the Liquidity Toolkit?
Please see the Author’s Instructions section at the top of the page for more details and information.
How can I get additional information on the indicators used?
Please see the Author’s Instructions section at the top of the page for more details and information.
I added the Liquidity Toolkit but I do not see all of the PT lines – where are they?
Depending on the chart interval, not all PT lines will be displayed. Those lower than the chart’s timeframe are hidden for clarity.
I added Liquidity Toolkit but the chart’s candles are not being filled by LS.
The chart will try to color over LS’ candles if you do not disable them. To disable, go to the Chart Settings then to Symbol and de-select Body, Borders and Wick.
FDF — EMAs+VWAP with setup & entry (stable scale)the 9 and 21, vwap - and support an restianst, marking each entry when it pulling in our out to the 21. used 90% of the candle over the 21
Reactive Curvature Smoother Moving Average IndicatorSummary in one paragraph
RCS MA is a reactive curvature smoother for any liquid instrument on intraday through swing timeframes. It helps you act only when context strengthens by adapting its window length with a normalized path energy score and by smoothing with robust residual weights over a quadratic fit, then optionally blending a capped one step forecast. Add it to a clean chart and watch the single colored line. Shapes can shift while a bar forms and settle on close. For conservative use, judge on bar close.
Scope and intent
• Markets: major FX pairs, index futures, large cap equities, liquid crypto
• Timeframes: one minute to daily
• Purpose: reduce lag in trends while resisting chop and outliers
• Limits: indicator only, no orders
Originality and usefulness
• Novelty: adaptive window selection by minimizing normalized path energy with directionality bias, plus Huber weighted residuals and curvature aware penalty, finished with a mintick capped forecast blend
• Failure modes addressed: whipsaws from fixed length MAs and outlier spikes that pull means
• Testable: Inputs expose all components and optional diagnostics show chosen length, directionality, and energy
• Portable yardstick: forecast cap uses mintick to stay symbol aware
Method overview in plain language
Base measures
• Range span of the tested window and a path energy defined as the sum of squared price increments, normalized by span
Components
Adaptive window chooser: scans L between Min and Max using an energy over trend score and picks the lowest score
Robust smoother: fits a quadratic to the last L bars, computes residuals, applies Huber weights and an exponential residual penalty scaled down when curvature is high
Forecast blend: projects one step ahead from the quadratic, caps displacement by a multiple of mintick, blends by user weight
Fusion rule
• Final line equals robust mean plus optional capped forecast blend
Signal rule
• Visual bias only: color turns lime when close is above the line, red otherwise
What you will see on the chart
• One colored line that tightens in trends and relaxes in chop
• Optional debug overlays for core value, chosen L, directionality, and energy
• Optional last bar label with L, directionality, and energy
• Reminder: drawings can move intrabar and settle on close
Inputs with guidance
Setup
• Source: price series to smooth
Logic
• Min window l_min. Typical 5 to 21. Higher increases stability, adds lag
• Max window l_max. Typical 40 to 128. Higher reduces noise, adds lag ceiling
• Length step grid_step. Typical 1 to 8. Smaller is finer and heavier
• Trend bias trend_bias. Typical 0.50 to 0.80. Higher favors trend persistence
• Residual penalty lambda_base. Typical 0.8 to 2.0. Higher downweights large residuals more
• Huber threshold huber_k. Typical 1.5 to 3.0. Higher admits more outliers
• Curvature guard curv_guard. Typical 0.3 to 1.0. Higher reduces influence when curve is tight
• Forecast blend lead_blend. 0 disables. Typical 0.10 to 0.40
• Forecast cap lead_limit. Typical 1 to 5 minticks
• Show chosen L and metrics show_debug. Diagnostics toggle
Optional: enable diagnostics to see length, direction, and energy
Realism and responsible publication
• No performance claims. Past results never guarantee future outcomes
• Shapes can move while bars are open and settle on close
• Use on standard candles for analysis and combine with your own risk process
Honest limitations and failure modes
• Very quiet regimes can reduce energy contrast, length selection may hover near the bounds
• Gap heavy symbols can disrupt quadratic fit on the window edges
• Excessive forecast blend may look anticipatory; use low values and the cap
Fabio + Waqar SMC AlertThis script is a custom TradingView indicator designed to combine elements of a trend‑following VWAP approach (inspired by the “Fabio” strategy) with a smart‑money‑concepts framework (inspired by Waqar Asim). Here’s what it does:
* **Directional bias:** It calculates a 15‑minute VWAP and compares the current 15‑minute close to it. When price is above the 15‑minute VWAP, the script assumes a long bias; when below, a short bias. This reflects the trend‑following aspect of the Fabio strategy.
* **Liquidity sweeps:** Using recent pivot highs and lows on the current timeframe, it identifies when price takes out a recent high (for potential longs) or low (for potential shorts). This represents a “liquidity sweep” — a fake breakout that collects stops and signals a possible reversal or continuation.
* **Break of structure (BOS):** After a sweep, the script confirms that price is breaking away from the swept level (i.e., higher than recent highs for longs or lower than recent lows for shorts). This BOS confirmation helps avoid false signals.
* **Entry filters:** For a long setup, the bias must be long, there must be a liquidity sweep followed by a BOS, and price must reclaim the current‑timeframe VWAP. For a short setup, the opposite conditions apply (short bias, sweep + BOS to the downside, and price rejecting the VWAP).
* **Alerts and plot:** It provides two alert conditions (“Fabio‑Waqar Long Setup” and “Fabio‑Waqar Short Setup”) that you can attach to notifications. It also plots the intraday VWAP on your chart for visual reference.
In short, this script watches for a confluence of trend direction, liquidity sweeps, structural shifts, and VWAP reclaim/rejection, and then notifies you when those conditions align. You can use it as an alerting tool to identify high‑probability setups based on these combined strategies.
SideWinder Cleared Hot
SideWinder Cleared Hot is a custom trend indicator that detects uptrends and downtrends by comparing moving averages of highs and lows against look back extremes, plotting a low moving average line during bullish moves (as dynamic support) and a high moving average line during bearish ones (as resistance). The Core of SideWinder is set to dashed lines for medium confidence trends, however the user has the option to select or deselect "Cleared Hot"... A High confident impulse move. The indicator can be customizable, but the best settings for timeframes below 30 min are set as default. As with any indicator, lowering the timeframe will increase the signaling frequency.
Directional EMA - For Loop | Lyro RSDirectional EMA - For Loop | Lyro RS
Introduction
This indicator combines multi-type moving averages, loop-based momentum scoring, and divergence detection for adaptive trend and reversal analysis.
Key Features:
Multiple Moving Average Selection System: Choose from 16 different MA types - HMA, ALMA and JMA etc. To match your style best.
For Loop Based Scoring: Uses a From / To system to calculate cumulative buying/selling pressure across recent price action.
Signal Threshold: Long / Short threshold levels to control the sensitivity for different market conditions.
Divergence Detection: Regular bullish / bearish with clear labels for potential reversal points.
Clean Visuals: Multiple color themes with table and color based indicator line for easy reading.
How It Works:
Core Calculation: The indicator first creates a directional signal by comparing price to your selected moving average, normalized for current volatility.
Loop Analysis: This signal feeds into a for-loop that scores recent price history, generating a cumulative momentum value.
Signal Generation:
Bullish signals trigger when the score crosses above the Upper Threshold
Bearish signals trigger when the score crosses below the Lower Threshold
Divergence Alerts: Automatically detects when price makes new highs/lows that aren't confirmed by the oscillator.
Practical Use:
Trend Identification: The color-coded oscillator and signal table help confirm trend direction.
Reversal Warning: Divergence labels highlight potential trend exhaustion points for careful watch.
Customization:
Adjust MA type and length for sensitivity tuning
Modify loop parameters (From/To) to change analysis depth
Fine-tune threshold levels for signal frequency
Enable/disable divergence detection as needed
⚠️ Disclaimer
This tool is for technical analysis education only. It does not guarantee results or constitute financial advice. Always use proper risk management and combine with other analysis methods. Past performance doesn't predict future results.
Smart Trend Lines v.1 [TradeMindsetAI]
✅ " 🚀 Smart Trend Lines V.1 🚀 " is an advanced Pine Script indicator that automatically detects and draws dynamic trend lines based on real pivot points from candle shadows (wicks).
✅ Key Features:
• Accurately identifies pivot highs and lows using customizable lookback periods
• Draws support/resistance trend lines only if price has respected them (via pullback or bounce validation)
• Validates lines by ensuring price doesn't cross the projected line in its path
• Limits the number of displayed lines to keep the chart clean
• Auto-removes outdated lines (older than 500 bars)
• Fully customizable line colors, styles (solid/dashed/dotted), and widths
✅ Ideal for traders seeking reliable, reactive trend lines across all timeframes.
✅ Note: Lines are calculated only after analyzing at least 1000 candles for maximum accuracy.
✅ Recommended Settings:
`Lookback Candles: 500` | `Pivot Period: 20` | `Pivot Points: 3`
`Lookback Candles: 500` | `Pivot Period: 17` | `Pivot Points: 3`
`Lookback Candles: 500` | `Pivot Period: 11` | `Pivot Points: 3`
🎯Built for traders who demand **pixel-perfect accuracy**.
⭐Like & Follow for more elite tools!
#trendline #smart #support #resistance #pivot #crypto #forex
✅ این اندیکاتور🚀"Smart Trend Lines V.1" 🚀 به صورت خودکار خطوط روند صعودی (حمایتی) و نزولی (مقاومتی) را بر اساس پیوتهای واقعی سایه کندلها شناسایی و رسم میکند.
✅ ویژگیهای کلیدی:
• تشخیص خودکار پیوتهای کف و سقف با دوره قابل تنظیم
• رسم خطوط روند تنها در صورتی که قیمت به آنها واکنش نشان داده باشد
• اعتبارسنجی دقیق خطوط با بررسی عدم نفوذ قیمت در مسیر روند
• محدود کردن تعداد خطوط نمایش داده شده برای جلوگیری از شلوغی چارت
• حذف خودکار خطوط قدیمی (بیش از ۵۰۰ کندل)
• قابلیت تنظیم رنگ، سبک و ضخامت خطوط حمایتی و مقاومتی
✅ مناسب برای تحلیلگرانی که به دنبال خطوط روند معتبر و پویا در تایمفریمهای مختلف هستند.
✅ نکته: خطوط فقط پس از بررسی حداقل ۱۰۰۰ کندل رسم میشوند تا از دقت بالا اطمینان حاصل شود.
✅ تنظیمات پیشنهادی:
`Lookback Candles: 500` | `Pivot Period: 20` | `Pivot Points: 3`
`Lookback Candles: 500` | `Pivot Period: 17` | `Pivot Points: 3`
`Lookback Candles: 500` | `Pivot Period: 11` | `Pivot Points: 3`
🎯 برای معاملهگرانی که دقت پیکسلبهپیکسل میخواهند.
⭐ لایک و فالو کنید تا ابزارهای حرفهای بیشتری ببینید!
Session Breakout, Retest, Reversal + Large Move Alert# Script Description for Publication
## Script Name
**Session Breakout, Retest, Reversal + Large Move Alert**
## Short Description
A professional trading indicator that identifies session breakouts, failed retests, and large intraday price movements across any futures contract with real-time alerts and visual markers.
## Long Description
This comprehensive indicator combines session analysis with dynamic move detection, designed for active traders monitoring ES, NQ, GC, CL, and other futures contracts.
**Core Features:**
**Session Tracking:**
Automatically identifies and marks daily session breakouts and failed retests based on user-defined session times and timezones. The indicator draws visual boxes showing session highs (PH) and lows (PL), with labels marking breakout (BO) and retest failure (RF) points.
**Dynamic Large Move Detection:**
Monitors candles on any chart interval for significant price movements. The threshold is fully customizable per futures contract (default 15 points for ES/NQ/GC). When a candle closes with a move exceeding the threshold, the indicator displays a "BO" label with the exact move size and current chart timeframe.
**Real-Time Alerts:**
Triggers active alerts whenever large moves are detected, allowing traders to receive instant notifications via TradingView's alert system for timely entry or exit opportunities.
**Multi-Timeframe Compatible:**
Works seamlessly on any chart interval (1-minute through daily and beyond) without manual adjustments. The detection threshold automatically applies to the current chart's candles, with labels displaying the active timeframe.
**Universal Futures Support:**
Configurable for any futures contract by adjusting the point threshold input parameter based on each contract's typical volatility.
## Key Inputs
| Input | Default | Purpose |
|-------|---------|---------|
| Session Time | 0400-0930 | Defines trading session hours (pre-market session) |
| Session Timezone | America/New_York | Sets timezone for session detection |
| Point Move Threshold | 15.0 | Minimum point move to trigger alert (adjust per futures: ES=15, GC=15, CL=1.5) |
## How to Use
1. **Add to Chart:** Search for this indicator in TradingView and add it to your futures chart (ES, NQ, GC, CL, etc.)
2. **Configure Inputs:**
- Set session start/end times for your preferred trading session
- Adjust point threshold based on your futures contract
- Verify timezone matches your trading location
3. **Create Alerts:**
- Click "Create Alert" on the chart
- Select "Large Move Alert" from the condition dropdown
- Choose notification method (push, email, or SMS)
- Set desired frequency
4. **Monitor Moves:**
- Watch for "BO" labels appearing on confirmed candles
- Each label shows the threshold value and actual move size
- Combine with your existing trading strategy for confirmation
## Visual Elements
- **Session Box:** Blue shaded area showing session high/low range
- **PH Label:** Green label marking session high (pivot high)
- **PL Label:** Red label marking session low (pivot low)
- **BO ↑/↓ Labels:** Lime/red labels marking session breakouts
- **RF Labels:** Yellow/orange labels marking failed retests
- **Large Move Labels:** Green (bullish) or red (bearish) labels showing threshold breaches with move size
## Ideal For
- Scalpers monitoring quick intraday moves
- Day traders tracking pre-market breakouts
- Futures traders on ES, NQ, GC, CL, and other contracts
- Multi-timeframe traders watching various chart intervals simultaneously
- Alert-based automated trading systems
## Technical Details
- **Pine Script Version:** 5
- **Overlay:** Yes (displays on price chart)
- **Historical Buffer:** 5000 bars (supports 1-minute and lower timeframes)
- **Compatibility:** All futures contracts and chart intervals
## Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Users should conduct their own research and consult with financial professionals before making trading decisions. Past performance does not guarantee future results.
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Inflection Nexus - SPAInflection Nexus - SPA: Self-Adapting Trend Reversal System
Overview
Inflection Nexus - SPA (Shadow Portfolio Adaptation) is an adaptive trend-following indicator that automatically optimizes its parameters in real-time through a unique shadow testing methodology. Unlike traditional static indicators that use fixed ATR periods and multipliers, this system continuously evaluates multiple parameter combinations in the background and dynamically adjusts to current market conditions without manual intervention.
What Makes This Original
The core innovation is the Shadow Portfolio Adaptation (SPA) engine, which runs parallel virtual portfolios in the background to test different ATR period and multiplier combinations. The system tracks the performance of these shadow portfolios over rolling windows and automatically switches to the best-performing parameter set. This creates a self-improving indicator that adapts to changing volatility regimes, trending vs. ranging markets, and shifting market dynamics without requiring user reconfiguration.
This is not simply a combination of existing indicators. The SPA engine is a novel approach that transforms the traditional Supertrend methodology from a static tool into an adaptive system with built-in machine learning principles.
Core Components and How They Work Together
1. Adaptive Supertrend Foundation
The base trend detection uses an ATR-based Supertrend calculation with your chosen source (default: hlcc4 for smoothness). Rather than using fixed parameters, the system starts with your configured ATR Period and Multiplier as baseline values.
2. Shadow Portfolio Adaptation Engine
This is where the innovation happens. The system simultaneously tests multiple parameter variations in the background:
- Creates shadow portfolios with different ATR periods (spanning from your base period minus a range to plus a range)
- Tests different ATR multipliers for each period
- Each shadow portfolio tracks virtual trade performance over a configurable lookback window
- Calculates a confidence score based on win rate, profit factor, and trade frequency
- Automatically switches to the best-performing parameter combination
- Implements smooth transitions to prevent whipsaw from parameter changes
The adaptation happens continuously, allowing the system to shift from tight, responsive settings during low volatility to wider, more conservative settings during high volatility periods.
3. Signal Generation Logic
The system offers two complementary signal modes:
Reversal Mode (default): Identifies potential trend exhaustion points. A sell signal requires price to make a new structural high while the trend is bullish, then flip bearish. This captures the exact moment a trend runs out of momentum. The "Require New High/Low During Trend" filter ensures signals only occur at genuine extremes, not mid-range noise.
Breakout Mode (optional): Identifies trend continuation. Signals occur when price breaks to new highs/lows in the direction of the current trend, confirming momentum rather than reversing it.
4. Multi-Layer Confirmation Filters
Each signal passes through optional quality filters:
- RSI Momentum Filter : Ensures buy signals occur after RSI has been oversold (preventing buying into exhaustion) and sell signals occur after RSI has been overbought
- Volume Spike Confirmation : Requires increased volume relative to recent average, confirming conviction behind the move
- Major Level Filter : Ensures signals only occur after significant price moves (measured in ATR multiples), filtering out minor fluctuations
5. Risk Management Integration
The dashboard displays real-time metrics including:
- Current regime classification (Trending, Volatile, Ranging)
- Shadow portfolio performance tracking
- Adaptive confidence scores
- Parameter evolution log
- Market heat map showing probability zones
How to Use This Indicator
Setup:
1. Apply the indicator to your chart
2. Start with default settings for your first session
3. The SPA engine requires a warm-up period (controlled by "Learning Window") to gather sufficient data - expect optimal adaptation after 100-200 bars
4. Enable the dashboard to monitor the adaptation process and current market regime
Signal Interpretation:
- Long signals (green triangles below price): Enter long when the system detects a potential bullish reversal or breakout
- Short signals (red triangles above price): Enter short when the system detects a potential bearish reversal or breakout
- Dashboard color coding : Green regime = favorable for trend-following, Yellow = volatile (use caution), Red = choppy (consider reducing position size)
Best Practices:
- Use Reversal Mode in swing trading environments where you want to catch major turning points
- Use Breakout Mode in strong trending markets where you want confirmation entries
- Enable both modes for comprehensive coverage, but filter by the regime indicator
- The "Min Bars Between Signals" setting prevents over-trading - start at 10-12 bars for most timeframes
- Pay attention to the "Map Heat" metric - higher active cells indicate more defined market structure
Parameter Optimization:
The system is designed to self-optimize, but you can guide it:
- Sensitivity : Lower values (15-25) for intraday scalping, higher values (40-60) for swing trading
- ATR Period : Your baseline starting point - the SPA engine will explore around this value
- Multiplier : Your baseline band width - the engine tests variations of this
- Learning Window : How many bars of data the shadow portfolios evaluate (200-500 for most markets)
- Adaptation Frequency : How often the system checks for better parameters (30-50 bars balances responsiveness and stability)
Dashboard Insights:
The three-panel dashboard provides real-time intelligence:
- Panel A shows current signal state, trend direction, and overall market regime
- Panel B displays shadow portfolio statistics, confidence scores, and the adaptation log
- The regime classification helps you understand if current market conditions favor trending strategies or if you should reduce exposure
Calculation Methodology
The system operates in three phases:
Phase 1 - Base Calculation:
- Calculates ATR using your specified period and method (RMA for smoothness)
- Identifies structural highs/lows using the sensitivity parameter
- Computes initial Supertrend bands: Price ± (ATR × Multiplier)
Phase 2 - Shadow Testing:
- Creates a grid of parameter combinations (ATR periods from base-5 to base+15, multipliers from base-0.5 to base+1.0)
- For each combination, simulates trade entries and exits over the learning window
- Tracks metrics: win rate, profit factor, max drawdown, trade count
- Calculates a confidence score using weighted metrics (win rate × 0.4 + profit factor × 0.3 + normalized trade frequency × 0.3)
Phase 3 - Adaptive Selection:
- Every N bars (adaptation frequency), ranks all shadow portfolios by confidence score
- Selects the highest-scoring parameter set
- Implements parameter change with transition smoothing to prevent signal disruption
- Logs the change and updates the dashboard
This creates a continuous feedback loop where the indicator learns from recent market behavior and adjusts its sensitivity accordingly.
Ideal Market Conditions
Best Performance:
- Markets with clear swing structure (forex majors, liquid stocks, major indices)
- Timeframes from 5-minute to daily (indicator adapts across timeframes)
- Trending markets with periodic consolidations (where reversals are meaningful)
Challenging Conditions:
- Extremely low liquidity assets (insufficient price action for adaptation)
- Very low timeframes (1-minute or below) where noise dominates
- Markets in deep consolidation for extended periods (the system will reduce signal frequency appropriately)
Technical Notes
- The indicator uses lookback functions with a 5000-bar maximum, ensuring sufficient historical context
- Shadow portfolios are lightweight - they don't execute actual trades, only track hypothetical P&L
- The confidence-based selection prevents the system from chasing random variations
- The minimum bars between signals prevents over-fitting to short-term fluctuations
- All calculations are performed on closed bars to prevent repainting
Recommended Settings by Trading Style
Day Trading (5-15 min charts):
- Sensitivity: 20-30
- ATR Period: 14-20
- Multiplier: 1.2-1.5
- Min Bars Between Signals: 8-12
- Enable RSI Filter: Yes
Swing Trading (1H-4H charts):
- Sensitivity: 30-50
- ATR Period: 20-30
- Multiplier: 1.5-2.0
- Min Bars Between Signals: 10-15
- Enable Major Levels Only: Optional
Position Trading (Daily charts):
- Sensitivity: 50-80
- ATR Period: 30-40
- Multiplier: 2.0-2.5
- Min Bars Between Signals: 5-10
- Enable Breakout Mode: Consider
The SPA engine will refine these starting points automatically based on actual market performance.
Important Disclaimers
This indicator is a technical analysis tool designed to identify potential trend changes and continuation points. It should not be used as a standalone trading system. Always combine with proper risk management, position sizing, and additional confirmation methods. Past performance of the adaptation engine does not guarantee future results. The shadow portfolio system is designed to improve parameter selection, but no indicator can predict market movements with certainty.
— Dskyz, Trade with insight. Trade with anticipation.
vagab0nd AlgoCombination of simple and exponential moving averages, SuperIchi cloud by LuxAlgo (love that group!), and a conglomeration of various indicators I've compiled over the years to try to spot tops and bottoms.
My custom indicator will highlight the background either green or orange/red and will show small yellow, or larger white arrows to indicate potential tops and bottoms. It is oscillator based so it can often show a strong signal for a top or bottom where price can rebound from, but will often retest or even stop loss run the previous signal area while not showing another signal. This indicates an underlying divergence that can potentially be taken advantage of.
Bitcoin Fair Price Calculator [bitcoinfairprice.com]1. Purpose of the scriptLong-term Bitcoin valuation based on historical time (days since Genesis block)
Fair Price = theoretically “fair” price according to power law.
Bottom Price = lower support (historically ~58% below Fair Price).
Daily display as on the website – without external access.
Buy/sell signals in case of strong overvaluation/undervaluation.
2. Mathematical model (original formula)pinescript
Bottom Price = Fair Price × 0.42
→ Corresponds historically to ~58% below Fair Price.
Days since Genesis block are calculated automatically per bar.
3. What is displayed in the chart?
Fair Price Average power law line (“fair price”) Blue
Bottom Price Lower support (“floor”) Green
Power Law Corridor Filled area between 0.1× and 2.5× Fair Price Light blue (transparent)
Table (top right) Daily values as on the website Black with white text
Label (for >20% deviation) Shows current prices + percentage Red (overvalued) / Green (undervalued)
4. Recommended use Timeframe
Recommendation Weekly / Monthly Best long-term signals
Daily Good balance
Log scale Be sure to activate! (Right-click on Y-axis → “Logarithmic scale”)
9. Strategy tips (based on the model)
Price near bottom --> Buy / accumulate
Price > 2.5× fair price --> Sell part of position / caution
Price between fair & bottom --> Strong buy zone
Deviation < -20% --> HODL signal
Translated with DeepL.com (free version)
