Midnight ET + Daily H/L True dayThis script divides each day from midnight EST to the next midnight opening price (True day). Full credits go to my mentor ICT for the idea behind the script
Indicateurs et stratégies
W%R Pullback+EMA Trend [TS_Indie]🔰 Core Concept of the Strategy
The main idea is “Trend-Following with Momentum Pullback.”
This means trading in the direction of the main trend (defined by EMA) while using Williams %R to identify pullback entries (buying the dip or selling the rally) where momentum returns to the trend direction.
📊 Indicators Used
1. EMA Fast – Defines the short-term trend.
2. EMA Slow – Defines the long-term trend (used as a trend filter).
3. Williams %R
• Overbought zone: above -20
• Oversold zone: below -80
⚙️ Entry Rules
🔹 Buy Setup
1. EMA Fast > EMA Slow → Uptrend condition.
2. Williams %R on the previous candle dropped below -80, and on the current candle, it crosses back above -80 → indicates momentum returning to the upside.
3. Current close is above EMA Fast.
4. Entry Buy at the close of the candle where %R crosses above -80.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the lowest low between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
🔹 Sell Setup
1. EMA Fast < EMA Slow → Downtrend condition.
2. Williams %R on the previous candle went above -20, and on the current candle, it crosses back below -20 → indicates renewed selling momentum.
3. Current price is below EMA Fast.
4. Entry Sell at the close of the candle where %R crosses below -20.
🎯 Entry, Stop Loss, and Take Profit
1. Entry : At the candle close where the signal occurs.
2. Stop Loss : At the highest high between the current and previous candles.
3. Take Profit : Calculated based on entry price and stop loss distance multiplied by the Risk/Reward Ratio.
⚙️ Optional Parameters
• Custom Risk/Reward Ratio for Take Profit.
• Option to add ATR buffer to Stop Loss.
• Adjustable EMA Fast period.
• Adjustable EMA Slow period.
• Adjustable Williams %R period.
• Option to enable Long only / Short only positions.
• Customizable Backtest start and end date.
• Customizable trading session time.
⏰ Alert Function
Alerts display:
• Entry price
• Stop Loss price
• Take Profit price
Guys, try adjusting the parameters yourselves!
I’ve been tweaking the settings for several days and managed to get great results on XAU/USD in the 5-minute timeframe.
I think this strategy is quite interesting and could potentially deliver good results on other instruments as well.
⚠️ Disclaimer
This indicator is designed for educational and research purposes only.
It does not guarantee profits and should not be considered financial advice.
Trading in financial markets involves significant risk, including the potential loss of capital.
BSL / SSL Liquidity Zones + Alerts//@version=5
indicator("BSL / SSL Liquidity Zones + Alerts", overlay=true, max_labels_count=500)
Level LinesThis indicator displays levels in close proximity to the current price, enabling users to identify psychological levels on charts that serve as support/resistance zones or key reference points for price action.
In the settings, you can customize the number of lines shown above and below the current price, along with the interval size for rendering them.
As the price moves higher or lower, the lines dynamically adjust to reflect the most relevant levels.
In settings you can fully customize the style of lines (color, width, style) with separate settings available for lines above & below the current price.
Midnight ET + Daily H/L (vertical midnight + HL lines)This script provides midnight EST dividers for each day and marks each daily high and low during each True day. Credits go to my mentor ICT for the idea behind this script.
LogReg Channel-Trend – Nadaraya (Kernels + CF/ABModification of BigBeluga script named "LogReg Channel- Trend"
12M SMA Timing (HTF-safe, 100% equity)Buy when S&P500 closes above 12M moving average. Sell when it closes below it. Monthly only.
Fibonacci Trend - MODIFIED with AlertsATR filter added
Allerts on every level
Standard ATR is 150, but it is changeable
Trend & Strength Detector TSDTrend Strength Detector (TSD)
*Objective Trend Quality Measurement for Educational Market Analysis*
Note: This mathematical framework is a proprietary quantitative model developed by Ario Pinelab, inspired by classical EMA, ADX, RSI and MACD principles, yet not documented in any public technical or academic publication.
## 🎯 Purpose & Design Philosophy
The ** Trend Strength Detector- TSD ** is an educational research tool that provides **quantitative measurement of trend quality** through two independent scoring systems (0-100 scale). It answers the analytical question: *"How strong and aligned is the current market trend environment?"*
This indicator is designed with a **modular, complementary approach** to work alongside various analysis methodologies, particularly pattern-based recognition systems.
## 🔗 Complementary Research Framework
### Designed to Work With Pattern Detection Systems
This indicator provides **environmental context measurement** that complements qualitative pattern recognition tools. It works particularly well alongside systems like:
- **RMBS Smart Detector - Multi-Factor Momentum System**
- Traditional chart pattern analyzers
- Any momentum-based pattern identification tools
🔍 **To find RMBS Smart Detector:**
- Search in TradingView Indicators Library: `" RMBS Smart Detector - Multi-Factor Momentum System"`
- Look for: *Multi-Factor Momentum System*
- By author: ` `
### Why This Complementary Approach?
**Trend Quality Measurement** (TSD - this tool) provides:
- ✅ Structural trend alignment (0-100 score)
- ✅ Momentum intensity levels (0-100 score)
- ✅ Environment classification (Strong/Moderate/Weak)
- 📌 **Answers:** *"HOW STRONG is the underlying trend environment?"*
### Educational Research Value
When used together in a research context, these tools enable systematic study of questions like:
- How do reversal patterns behave when Strength Score is above 70 vs below 30?
- Do continuation patterns in weakening environments (declining scores) show different characteristics?
- What is the correlation between high Alignment Scores and pattern "success rates"?
- Can environment classification help identify genuine trend initiation vs false starts?
⚠️ **Important Note:** Both tools are **independent and work standalone**. TSD provides value whether used alone or with other analysis methods. The relationship with RMBS (or any pattern tool) is **complementary for research purposes**, not dependent.
---
###Mathematical Foundation
##TSA Formula: scoring method developed by Ario
-Trend Model (0 – 100)
TAS = EMA Alignment (0–40) + Price Position (0–30) + Trend Consistency (0–30)
EMA Alignment checks EMA_fast vs EMA_slow vs EMA_trend structure.
Price Position evaluates if Close is above/below all EMAs.
Consistency = 3 × max(bullish,bearish bars within 10 candles).
-Strength Model (0 – 100)
Strength = ADX (0–50) + EMA Slope (0–25) + RSI (0–15) + MACD (0–10)
ADX measures trend energy; Slope shows EMA momentum %;
RSI assesses zone positioning; MACD confirms directional agreement.
Note: This formula represents a proprietary quantitative model by Ario_Pinelab, inspired by classical technical concepts but not published in any external reference.________________________________________
📊 Environment Classification
Based on Total Strength Score:
🟢 Strong Environment: Score ≥ 60
→ Well-defined momentum, clear directional bias
🟡 Moderate Environment: 40 ≤ Score < 60
→ Mixed signals, transitional conditions
🔴 Weak Environment: Score < 40
→ Ranging, choppy, low conviction movement
Color Coding:
• Green background: Strong (≥60)
• Yellow background: Moderate (40-59)
• Red background: Weak (<40)
________________________________________
📈 Visual Components
Main Chart Display
Score Labels (Top-Right Corner):
┌─────────────────────────────────┐
│ 📊 Alignment: 75 | Strength: 82 │
│ Environment: Strong 🟢 │
└─────────────────────────────────┘
Color-Coded Background:
• Environment strength visually indicated via background color
• Helps quick identification of market regime
• Customizable transparency (default: 90%)
Reference Lines:
• Dotted line at 60: Strong/Moderate threshold
• Dotted line at 40: Moderate/Weak threshold
• Mid-line at 50: Neutral reference
________________________________________
🔧 Customization Settings
Input Parameters
The best setting is the default mode.
🚫 Important Disclaimers & Limitations
What This Indicator IS:
✅ Educational measurement tool for trend quality research
✅ Quantitative assessment of current market environment
✅ Complementary analysis tool for pattern-based systems
✅ Historical data analyzer for systematic study
✅ Multi-factor scoring system based on technical calculations
What This Indicator IS NOT:
❌ NOT a trading system or signal generator
❌ NOT financial advice or trade recommendations
❌ NOT predictive of future price movements
❌ NOT a guarantee of pattern success/failure
❌ NOT a substitute for comprehensive risk management
________________________________________
Known Limitations
1. Lagging Nature:
⚠️ All components (EMA, ADX, RSI, MACD) are calculated
from historical price data
→ Scores reflect CURRENT and RECENT conditions
→ Cannot predict sudden reversals or black swan events
→ Trend measurements lag actual price turning points
2. Whipsaw Risk:
⚠️ In choppy/ranging markets, scores may fluctuate rapidly
→ Moderate zone (40-60) can see frequent transitions
→ Low timeframes more susceptible to noise
→ Consider higher timeframes for stable measurements
3. Component Conflicts:
⚠️ Individual components may disagree
→ Example: Strong ADX but weak RSI alignment
→ Scores average these conflicts (may hide nuance)
→ Check individual components for deeper insight
4. Not Predictive:
⚠️ High scores do NOT guarantee continuation
⚠️ Low scores do NOT guarantee reversal
→ Measurement ≠ Prediction
→ Use for CONTEXT, not SIGNALS
→ Combine with comprehensive analysis
________________________________________
Risk Acknowledgments
Market Risk:
• All trading involves substantial risk of loss
• Past performance (even systematic studies) does not guarantee future results
• No indicator, system, or methodology can eliminate market risk
Measurement Limitations:
• Scores are mathematical calculations, not market predictions
• Environmental classification is descriptive, not prescriptive
• Strong measurements can deteriorate rapidly without warning
Educational Purpose:
• This tool is designed for LEARNING about market structure
• Not designed, tested, or validated as a standalone trading system
• Any trading decisions are user’s sole responsibility
No Warranty:
• Indicator provided “as-is” for educational purposes
• No guarantee of accuracy, reliability, or profitability
• Users must verify calculations and apply critical thinking
Open Source
Full Pine Script code available for educational study and modification. Feedback and improvement suggestions welcome.
“All logic is presented for research and educational visualization.”
---
Clock&Flow – Market Pulse IndicatorClock&Flow – Market Pulse Indicator
1) General Purpose
The Market Pulse Indicator is designed to visualize the strength and direction of market flow in a clear, intuitive way.
Unlike common volume or momentum indicators, it blends three essential dimensions — price velocity, normalized volume, and volatility (ATR) — to highlight when market pressure is truly meaningful.
It helps identify genuine liquidity inflows/outflows, potential exhaustion zones, and moments of compression or expansion within the price structure.
2) Data Sources
All data is directly taken from the current chart’s feed on TradingView:
Price (close): to measure relative price change.
Volume: to detect the intensity of market participation (normalized to average).
ATR (Average True Range): to evaluate volatility relative to price levels.
No external data or off-platform sources are used.
3) Logic and Calculation Steps
Price Velocity: calculates the percentage change between the current close and the close N bars ago.
priceChange = (close - close ) / close
Normalized Volume: compares current volume to its moving average over the same period.
volNorm = volume / sma(volume, length)
Normalized Volatility: ATR divided by price to adjust for instrument scale.
atrNorm = atr(length) / close
Combination : multiplies the three components into one raw value that represents market pulse intensity.
rawPulse = priceChange * volNorm * (1 + atrNorm)
Smoothing: a moving average (smoothLen) is applied to create a cleaner and more readable oscillator line.
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parameters (Default Settings)
length (20): analysis period for price change, volume, and ATR.
smoothLen (5): smoothing factor; higher values reduce noise.
multiplier (100): scales the output for readability; adjust to fit chart scale.
5) How to Read the Indicator
Market Pulse > 0 (green): net inflow of liquidity; buying pressure dominates.
Market Pulse < 0 (red): net outflow of liquidity; selling pressure dominates.
Near 0: neutral phase; market balance or consolidation.
Sudden peaks: strong bursts of flow — often coincide with news releases or session overlaps.
Confirmations: use as a second-level filter before entering trades or to confirm momentum behind a breakout.
6) Divergences
Divergences between price and Market Pulse are key signals of weakening flow strength:
Bullish divergence: price forms lower lows while Market Pulse forms higher lows → selling pressure is fading; potential reversal or bounce.
Bearish divergence: price forms higher highs while Market Pulse fails to confirm → buying momentum is losing strength; potential correction ahead.
For reliability, look for divergences on higher timeframes (H4, Daily).
On lower timeframes, treat them as early warnings.
7) Typical Use Cases
Breakout confirmation: price breaks resistance with a rising Market Pulse → confirms genuine participation.
False signal filter: price breaks a level but Market Pulse remains flat/negative → likely fake breakout.
Pullback entry: after a breakout, wait for a short retracement and a new positive pulse → safer entry point.
Exit signal: if you’re long and Market Pulse suddenly turns negative with strong volume → consider partial exit or tighter stops.
8) Recommended Timeframes
Intraday / Scalping: 5–30 min charts with length 10–14, smoothLen 3–5.
Swing trading: 1h–4h charts with length 20–50.
Position trading: Daily charts with larger length (50–100) for smoother data.
Always optimize parameters to the specific asset — there are no universal settings.
9) Limitations
This indicator is not a trading system — it’s a decision-support tool.
Results depend on the quality of the volume data available for the symbol.
Performance and sensitivity are influenced by length, smoothing, and multiplier values — always test before live trading.
Use alongside sound risk and money management.
10) Disclaimer
This script is provided for educational purposes only and does not constitute financial advice.
Trading and investing involve significant risk, including the potential loss of capital.
Always test indicators in simulation environments and make independent decisions based on your own analysis and risk tolerance.
Italiano
1) Scopo generale
Flow Pulse è un oscillatore pensato per visualizzare la forza e la direzione del flusso di mercato in modo immediato. Non è un semplice indicatore di volume né una copia di RSI/MACD: combina tre dimensioni fondamentali — variazione di prezzo, volume normalizzato e volatilità — per mettere in evidenza i momenti in cui la pressione dei partecipanti è realmente significativa.
È ideale per identificare: entrate guidate da flussi reali, potenziali esaurimenti, momenti di compressione/espansione del movimento e segnali di conferma per breakout o rimbalzi.
2) Dati utilizzati
L’indicatore usa esclusivamente dati disponibili sulla piattaforma TradingView del grafico corrente:
price (close) — per calcolare la variazione percentuale del prezzo;
volume per misurare l’intensità degli scambi (normalizzato su media);
ATR (Average True Range) — per normalizzare la volatilità rispetto al prezzo;
Tutti i feed (prezzo e volume) sono quelli forniti dall’exchange/fornitore dati collegato al simbolo sul grafico.
3) Logica e passaggi di calcolo
Velocità del prezzo: calcolo della variazione percentuale tra la chiusura corrente e la chiusura N barre fa:
priceChange = (close - close ) / close
— misura la direzione e magnitudine del movimento in termine relativo.
Volume normalizzato: rapporto tra il volume corrente e la media mobile semplice del volume su length barre:
volNorm = volume / sma(volume, length)
— evidenzia volumi anomali rispetto alla media.
Volatilità normalizzata (ATR): rapporto ATR/close per rendere la volatilità comparabile across price levels:
atrNorm = atr(length) / close
Combinazione: il prodotto di questi fattori (con un piccolo offset su ATR) genera un valore grezzo:
rawPulse = priceChange * volNorm * (1 + atrNorm)
— se priceChange e volNorm sono positivi e l’ATR è presente, il rawPulse sarà significativamente positivo.
Smoothing: media mobile semplice (SMA) applicata al rawPulse e moltiplicazione per un fattore scalare (multiplier) per portare il range su livelli leggibili:
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parametri esposti (default consigliati)
length (periodo analisi) — default 20: influenza calcolo Δ% e media volumi; allunga la finestra storica.
smoothLen (smussamento) — default 5: smoothing del segnale per ridurre rumore.
multiplier — default 100: fattore di scala per rendere l’oscillatore più leggibile.
5) Interpretazione pratica dei valori
FlowPulse > 0 (verde): predominanza di flusso d’ingresso — pressione d’acquisto. Maggiore il valore, più forte la convinzione (volume + movimento + volatilità).
FlowPulse < 0 (rosso): predominanza di flusso in uscita — pressione di vendita.
Vicino a 0: assenza di flussi netti chiari; mercato piatto o bilanciato.
Picchi repentini: indicano accelerate di flusso — spesso coincidono con rotture, open/close session, news.
Sostegno al trade: usa FlowPulse come conferma prima di entrare su breakout o come avviso di attenzione su esaurimenti.
6) Divergenze (come leggerle)
Le divergenze tra prezzo e FlowPulse sono segnali importanti:
Divergenza rialzista (bullish divergence): prezzo fa nuovi minimi mentre FlowPulse non fa nuovi minimi (o forma minimo relativo più alto) → indica che la spinta di vendita non è supportata da volume/volatilità, possibile inversione/rimbalzo.
Divergenza ribassista (bearish divergence): prezzo fa nuovi massimi mentre FlowPulse non li conferma (o forma massimo relativo più basso) → la spinta d’acquisto è “debole”, possibile esaurimento e inversione.
Note pratiche: cercare divergenze su timeframe maggiori (H4, D) per maggiore attendibilità; sui timeframe minori prendere solo come early warning.
7) Esempi d’uso operativo
Conferma breakout: prezzo rompe resistenza + FlowPulse positivo e crescente → breakout più probabile e con volumi reali.
Filtro per falsi segnali: prezzo rompe ma FlowPulse è piatto/negativo → alto rischio di false breakout.
Entrata per pullback: dopo breakout, attendere un pullback con FlowPulse che torna positivo → ingresso più prudente.
Gestione delle uscite: se sei long e FlowPulse improvvisamente si inverte in negativo su volumi elevati → considerare riduzione posizione o stop.
8) Timeframe consigliati
Intraday / Scalping: M5–M30 con length ridotto (es. 10–14) e smoothLen piccolo.
Swing trading: H1–H4 con length 20–50.
Position trading: D1 con length maggiore per filtrare rumore.
Testa i parametri sul tuo asset e timeframe; nessun parametro è universale.
9) Limitazioni e avvertenze
L’indicatore non è un sistema di trading completo: è un tool di informazione e timing.
Dipende dalla qualità dei dati di volume del simbolo: su alcuni titoli/mercati (es. alcuni ETF, Forex su certi broker) il volume può essere parziale o non rappresentativo.
I valori di margine/multiplier e smoothing influenzano sensibilmente sensibilità e falsi segnali: backtest e ottimizzazione sono raccomandati.
Non usare il solo FlowPulse per entrare su leva elevata senza gestione del rischio12) Disclaimer da inserire
Disclaimer: Questo indicatore è fornito solo a scopo didattico e non costituisce consulenza finanziaria. L’uso comporta rischi: valuta sempre la gestione del rischio e testa su conto demo prima dell’applicazione in reale.
For Albert**Strategy Name:** Agile Marketing Strategy
**Description:**
The Agile Marketing Strategy is a flexible and iterative approach to marketing that emphasizes rapid experimentation, customer feedback, and continuous improvement. This strategy enables marketers to adapt quickly to changing market conditions and customer needs, ensuring that marketing efforts remain relevant and effective.
**Key Principles:**
1. **Iterative Planning:** marketing activities are planned in short sprints, allowing for regular reassessment and adjustment of goals.
2. **Cross-Functional Teams:** collaboration between different departments (e.g., sales, product development, customer service) is encouraged to ensure a holistic approach to marketing.
3. **Data-Driven Decision Making:** decisions are based on real-time data and customer insights, enabling marketers to optimize their efforts for maximum impact.
4. **Continuous Learning:** the strategy promotes a culture of learning and experimentation, where marketers can test new ideas and learn from failures.
5. **Customer-Centric Approach:** understanding and meeting customer needs is prioritized through regular feedback and iterative improvements.
**Benefits:**
- **Increased Efficiency:** by focusing on iterative and incremental improvements, marketers can achieve better results with fewer resources.
- **Enhanced Customer Satisfaction:** a customer-centric approach helps to build stronger relationships and drive customer loyalty.
- **Faster Response to Market Changes:** the ability to quickly adapt to market trends and customer preferences ensures that marketing efforts remain effective.
- **Improved Collaboration:** cross-functional teams foster better communication and collaboration across departments.
- **Greater Innovation:** a culture of experimentation encourages marketers to explore new ideas and innovations.
VWAP (SIYL) Stdev Bands v2v2 indicator to allow for reversion-to-mean trading via the Stay In Your Lane approach.
Close-Only Market StructureDYOR NFA
Function of the Close-Only Market Structure Script
The script is a custom indicator designed to display the market's structural trend based only on closing prices, ignoring price wicks (highs and lows) to focus on conviction.
pivotLengthInt Input: This user setting controls the sensitivity of the structure detection. It determines how many bars to look left and right to define a swing point (e.g., a setting of 5 means a bar's close must be the highest/lowest of the 5 preceding and 5 succeeding bars).
Swing Point Identification (SH/SL): It uses the ta.pivothigh() and ta.pivotlow() functions on the close price series to define Swing Highs (SH) and Swing Lows (SL).
Structure Tracking (structureType): It compares the most recent confirmed SH and SL against the immediately preceding ones (prevSH and prevSL) to classify the trend as one of the following four states:
HH (Higher High, Higher Low): Strong Uptrend
LL (Lower High, Lower Low): Strong Downtrend
HL/LH: Complex structure, consolidation, or reversal zones.
Structure Lines: It plots two continuous stepped lines (lastSH and lastSL) that hold the price of the most recent confirmed swing points, visually defining the current structure boundaries.
BOS Detection (Break of Structure): It identifies and plots a marker (BOS) when the current bar's close definitively breaks (closes above) the lastSH or closes below the lastSL, signaling a continuation of the trend or a major structural change.
Visual Confirmation:
Plots small SH/SL labels at the confirmed swing points.
Plots small HH/HL/LH/LL labels at the swing points to show the confirmed structural state.
Applies a light background color (green for bullish/ranging-up, red for bearish/ranging-down) for an at-a-glance view of the bias.
Alerts: It provides conditions for setting up notifications when a Bullish BOS or Bearish BOS occurs.
🚀 How to Use the Script
Open TradingView: Go to the chart where you want to apply the indicator.
Open Pine Editor: Click the Pine Editor tab at the bottom of the screen.
Paste and Save:
Copy the final, corrected Pine Script code.
Delete any existing code in the editor and paste the new code.
Click the Save button (or name the script) and then click Add to Chart.
Adjust Settings:
On the chart, hover over the indicator name ("Close-MS v6") and click the Gear Icon (Settings).
Pivot Lookback (L&R): Change this value to adjust sensitivity:
Smaller number (e.g., 3): More swings detected, structure changes faster, more noise.
Larger number (e.g., 10): Fewer swings detected, structure is more significant, less noise (recommended for higher timeframes).
Interpret the Chart:
The Red Stepped Line shows your current resistance (SH).
The Green Stepped Line shows your current support (SL).
Green Background: General bullish bias (making Higher Highs/Lows).
Red Background: General bearish bias (making Lower Highs/Lows).
BOS Triangle: Signals that the price has closed and validated a break of the previous structural high or low.
Set Alerts (Optional):
Click the Alert button (bell icon) on the TradingView toolbar.
Set the Condition to the indicator ("Close-MS v6").
Select the specific Alert Condition you want to monitor (e.g., "Bullish BOS" or "Bearish BOS").
nOI + Funding + CVD • strategynOI + Funding + CVD Strategy
Overview
This strategy is designed for cryptocurrency trading on platforms like TradingView, focusing on perpetual futures markets. It combines three key indicators—Normalized Open Interest (nOI), Funding Rate, and Cumulative Volume Delta (CVD)—to generate buy and sell signals for long and short positions. The strategy aims to capitalize on market imbalances, such as overextended open interest, funding rate extremes, and volume deltas, which often signal potential reversals or continuations in trending markets.
The script supports pyramiding (up to 10 positions), uses percentage-based position sizing (default 10% of equity per trade), and allows customization of trade directions (longs and shorts can be enabled/disabled independently). It includes multiple signal systems for entries, various exit mechanisms (including stop-loss, take-profit, time-based exits, and conditional closes based on indicators), a Martingale add-on system for averaging positions during drawdowns, and handling of opposite signals (ignore, close, or reverse).
This strategy is not financial advice; backtest thoroughly and use at your own risk. It requires data sources for Open Interest (OI) and Funding Rates, which are fetched via TradingView's security functions (e.g., from Binance for funding premiums).
Key Indicators
1. Normalized Open Interest (nOI)
Group: Open Interest
Purpose: Measures the relative level of open interest over a lookback window to identify overbought (high OI) or oversold (low OI) conditions, which can indicate potential exhaustion in trends.
Calculation:
Fetches OI data (close) from the symbol's standard ticker (e.g., "{symbol}_OI").
Normalizes OI within a user-defined window (default: 500 bars) using min-max scaling: (OI - min_OI) / (max_OI - min_OI) * 100.
Upper threshold (default: 70%): Signals potential short opportunities when crossed from above.
Lower threshold (default: 30%): Signals potential long opportunities when crossed from below.
Visualization: Plotted as a line (teal above upper, red below lower, gray in between). Horizontal lines at upper, mid (50%), lower, and a separator at 102%.
Notes: Handles non-crypto symbols by adjusting timeframe to daily if intraday. Errors if no OI data available.
2. Funding Rate
Group: Funding Rate
Purpose: Tracks the average funding rate (premium index) to detect market sentiment extremes. Positive funding suggests bull bias (longs pay shorts), negative suggests bear bias.
Calculation:
Fetches premium index data from Binance (e.g., "binance:{base}usdt_premium").
Supports lower timeframe aggregation (default: enabled, using 1-min TF) for smoother data.
Averages open and close premiums, clamps values, and scales/shifts for plotting (base: 150, scale: 1000x).
Upper threshold (default: 1.0%): Overheat for shorts.
Lower threshold (default: 1.0%): Overcool for longs.
Ultra level (default: 1.8%): Extreme for additional short signals.
Smoothing: Uses inverse weighted moving average (IWMA) or lower-TF aggregation to reduce noise.
Visualization: Shifted plot (green positive, red negative) with filled areas. Horizontal lines for overheat, overcool, base (0%), and ultra.
Notes: Custom ticker option for non-standard symbols.
3. Cumulative Volume Delta (CVD)
Group: CVD (Cumulative Volume Delta)
Purpose: Measures net buying/selling pressure via volume delta, normalized to identify divergences or confirmations with price.
Calculation:
Delta: +volume if close > open, -volume if close < open.
Cumulative: Rolling cumsum over a window (default: 500 bars), smoothed with EMA (default: 20).
Normalized: Scaled by absolute max in window (-1 to 1 range).
Scaled/shifted for plotting (base: 300 or 0 if anchored, scale: 120x).
Upper threshold (default: 1.0%): Over for shorts.
Lower threshold (default: 1.0%): Under for longs.
Visualization: Shifted plot (aqua positive, purple negative) with filled areas. Horizontal lines for over, under, and separator (default: 252).
Filter Options (for Signal A):
Enable filter (default: false).
Require sign match (Long ≥0, Short ≤0).
Require extreme zones.
Require momentum (rising/falling over N bars, default: 3).
Signal Logics for Entries
Entries are triggered by buy/sell signals from multiple systems (A, B, C, D), filtered by direction toggles and entry conditions.
Signal System A: OI + Funding (with optional CVD filter)
Enabled: Default true.
Sell (Short): nOI > upper threshold, falling over N bars (default: 3), delta ≥ threshold (default: 3%), funding > overheat, and CVD filter OK.
Buy (Long): nOI < lower threshold, rising over N bars (default: 3), delta ≥ threshold (default: 3%), funding < overcool, and CVD filter OK.
Signal System B: Short - Funding Crossunder + Filters
Enabled: Default true.
Sell (Short): Funding crosses under overheat level, optional: CVD > over, nOI < upper.
Signal System C: Short - Ultra Funding
Enabled: Default false.
Sell (Short): Funding crosses ultra level (up or down, both default true).
Signal System D: Long - Funding Crossover + Filters
Enabled: Default true.
Buy (Long): Funding crosses over overcool level, optional: CVD < under, nOI > lower.
Combined: Sell if A/B/C active; Buy if A/D active.
Entry Filters
Cooldown: Optional pause between entries (default: false, 3 bars).
Max Entries: Limit pyramiding (default: true, 6 max).
Entries only if both filters pass and direction allowed.
Opposite Signal Handling
Mode: Ignore (default), Reverse (close and enter opposite), or Close (exit only).
Processed before regular entries.
Position Management
Martingale (3 Steps):
Enabled per step (default: all true).
Triggers add-ons at loss levels (defaults: 5%, 8%, 11%) by adding % to position (default: 100% each).
Resets on position close.
Break Even:
Enabled (default: true).
Activates at profit threshold (default: 5%), sets SL better by offset (default: 0.1%).
Exit Systems
Multiple exits checked in sequence.
Exit 1: SL/TP
Enabled: Separate for long/short (default: true).
SL: % from avg price (defaults: 1% long/short).
TP: % from avg price (defaults: 2% long/short).
Exit 2: Funding
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: Funding > upper exit threshold (default: 0.8%).
Short Exit: Funding < lower exit threshold (default: 0.8%).
Exit 3: nOI
Enabled: Separate for long (up) / short (down) (default: true).
Long Exit: nOI > upper exit (default: 85%).
Short Exit: nOI < lower exit (default: 15%).
Exit 4: Global SL
Enabled: Default true.
Exit: If position loss ≥ % (default: 7%).
Exit 5: Break Even (integrated in position block)
Exit 6: Time Limit
Enabled: Separate for long/short (default: true).
Exit: After N bars in trade (defaults: 30 each).
Timer updates on add-ons if enabled (default: true).
Visual Elements
Buy/Sell Labels: Small labels ("BUY"/"SELL") on bars with signals, limited to last 30.
All indicators plotted on a separate pane (overlay=false).
Usage Notes
Backtesting: Adjust parameters based on asset/timeframe. Test on historical data.
Data Requirements: Works best on crypto perps with OI and funding data.
Risk Management: Incorporates SL/TP and global SL; monitor drawdowns with Martingale.
Customization: All thresholds, enables, and scales are inputs for fine-tuning.
Version: Pine Script v6.
For questions or improvements, contact the author. Happy trading!
Zero Lag Filter Pro MTF Editionit is a very good trading indicator it uses multi timeframe analysis to give trade signals
5m Hammer Detector Pro (Clean View)//@version=5
indicator("5m Hammer Detector Pro (Clean View)", overlay=true)
// ===== Inputs =====
tf_detect = input.timeframe("5", "Detection timeframe (keep 5 for 5-min)")
min_lower_to_body = input.float(2.0, "Min lower-wick / body ratio", step=0.1)
max_upper_to_body = input.float(0.5, "Max upper-wick / body ratio", step=0.1)
max_body_to_range = input.float(0.30, "Max body / total-range ratio", step=0.01)
min_lower_to_range = input.float(0.45, "Min lower-wick / total-range ratio", step=0.01)
use_bullish_only = input.bool(true, "Only bullish hammer (close > open)?")
vol_mult = input.float(1.5, "Volume threshold multiplier (x avg volume)", step=0.1)
confirm_next_candle = input.bool(true, "Require next bullish candle for confirmation?")
// ===== Hammer Logic =====
f_is_hammer(o, h, l, c) =>
body = math.abs(c - o)
lower = math.min(o, c) - l
upper = h - math.max(o, c)
rng = h - l
body := body == 0 ? 0.0000001 : body
rng := rng == 0 ? 0.0000001 : rng
cond1 = (lower / body) >= min_lower_to_body
cond2 = (upper / body) <= max_upper_to_body
cond3 = (body / rng) <= max_body_to_range
cond4 = (lower / rng) >= min_lower_to_range
cond5 = use_bullish_only ? (c > o) : true
cond1 and cond2 and cond3 and cond4 and cond5
// ===== 5-Min Data =====
= request.security(syminfo.tickerid, tf_detect, )
vol_avg = ta.sma(rv, 20)
vol_ok = rv > (vol_avg * vol_mult)
hammer_raw = f_is_hammer(ro, rh, rl, rc)
hammer_with_vol = hammer_raw and vol_ok
= request.security(syminfo.tickerid, tf_detect, [open , high , low , close ])
confirmed = confirm_next_candle ? (hammer_with_vol and rc > ro and nc > rh) : hammer_with_vol
new_candle_5m = ta.change(rc) != 0
hammer_final = confirmed and new_candle_5m
// ===== Plot hammer mark only =====
plotshape(hammer_final, title="Hammer Signal", location=location.belowbar,
style=shape.labelup, text="✅ HAMMER 5m", color=color.new(color.green, 0),
textcolor=color.white, size=size.tiny)
bgcolor(hammer_final ? color.new(color.green, 85) : na)
// ===== Alert =====
alertcondition(hammer_final, title="5m Hammer Confirmed Alert",
message="🔥 {{ticker}} | 5m Confirmed Hammer at {{time}} | Vol OK | Close: {{close}}")
TTM Squeeze MTF DashboardThis indicator is a multi-timeframe (MTF) powerhouse for spotting breakout trades: It blends TTM Squeeze volatility, momentum oscillator (MOM), EMA trend stacks, MACD histogram expansion, and a "Green Count" (GC) tracker for post-squeeze timing. Perfect for day traders hunting confluence across TFs (e.g., 5m/15m/1H) to enter longs on lower timeframes (LTF) when signals align bullish.1. Quick OverviewCore Features:Dashboard Table: Real-time status for 3 user-defined TFs (defaults: 5m, 15m, 1H).
Rows: MOM (momentum), EMA (trend stack), MACD (histogram expansion), SQZ (volatility), GC (breakout counter), + optional GC MOM.
Plots: MOM histogram + GC line below price for visual confirmation.
Alerts: Triggers on full bullish/bearish alignment (positive/negative MOM + EMA stack + GC ≤3).
Edge: Filters noise with MTF alignment—wait for the table to "light up" (2+ TFs green/aqua) for high-conviction entries.
Best Use: Liquid markets (stocks, forex, crypto). Chart on LTF (e.g., 5m) for entries, use HTF for bias.
2. Installation & AccessOpen TradingView > Load a chart (e.g., AAPL on 5m).
Click Indicators (top toolbar) > Search "TTM Squeeze MTF Dashboard".
Add to chart—table appears top-right (customizable).
Pro Tip: Pin to favorites for quick access. Save chart layouts to preserve settings.
If editing: Right-click indicator > "Edit Pine Script" (open-source code available).3. Customizing SettingsGear icon (next to indicator name) > Adjust groups:Multi-Timeframe SettingsTF1/2/3: Set your scales (e.g., 1m/5m/15m for scalps; 15m/1H/4H for swings).
EMA SettingsLengths: 8/21/55/200 (Fib-tuned for trend).
Colors: Green (bull stack), Red (bear), Gray (neutral).
MACD SettingsLengths: 12/26/9 (standard).
Colors: Green (up-expansion: bull building), Red (down: bear building), Gray (retracting: pause).
Table Colors & DisplayGC Colors: Customize highlights for low GC + momentum.
Histogram Color: MOM shades (aqua/blue positive; red/yellow negative).
Squeeze Dot Color: Green (no squeeze), Black (low), Red/Orange (compression).
Toggles: Show/hide rows (e.g., disable SQZ for cleaner view).
Position/Size: Top-right default; tweak text color/size.
OtherSqueeze Length: 20 (BB/KC base).
Multipliers: BB=2.0, KC=1.0/1.5/2.0 (vol bands).
Hit OK—updates live. Defaults work great out-of-box.4. Reading the Table5 columns: Label | TF1 | TF2 | TF3 | Spacer.
Colors = signals; text = TF labels or GC numbers. Default order: MOM > EMA > MACD > SQZ > GC MOM > GC.Row
Purpose
Bullish (Green/Aqua)
Bearish (Red/Yellow)
Neutral (Gray)
MOM
Momentum flow.
Aqua (rising positive: strong bull).
Blue (falling positive: bull slowing).
Red (rising negative: bear easing).
Yellow (falling negative: deep bear).
N/A.
EMA
Trend stack (short > long EMAs).
Green: Ascending (with trend).
Red: Descending (against).
Mixed.
MACD
Histogram expansion.
Green: Positive & growing (momentum surge).
Red: Negative & shrinking (bear surge).
Flat/retracting (avoid).
SQZ
Volatility compression.
Green: No squeeze (expanding).
Black: Low (mild coil).
N/A.
Red: Medium.
Orange: High (wait).
GC MOM (Opt.)
GC ≤3 + positive MOM.
Aqua/Blue: Entry sweet spot.
N/A.
No match.
GC
Bars since last red squeeze.
MOM color if ≤3 (breakout now!). Text: Count (e.g., "2").
N/A.
>3 (wait).
Bullish Light-Up: 2+ TFs green/aqua on MOM/EMA/MACD + SQZ green/black + GC ≤3 = Long setup.5. Chart PlotsMOM Histogram: Colored bars (aqua = buy pressure)—confirms table.
GC Line: Purple, rising from 0—≤3 signals volatility release.
6. Alerts SetupRight-click chart > Add Alert > Select indicator.
Pick: "Bullish Alignment TF1" (e.g., for 5m).
Message: "Long {{ticker}}—MOM+/EMA Up/GC≤3 on TF1!"
Once Per Bar to avoid noise.
Bullish: Positive MOM + up EMA + low GC (long entry).
Bearish: Negative MOM + down EMA + low GC (short).
7. Trading FrameworkBias Check: HTF EMA green + SQZ release.
Confluence: Table aligns bullish (alert fires).
LTF Entry: On 5m, buy close above EMA8 (or dip to it). SL below swing low (1-2% risk).
Manage: Trail on MACD gray or GC reset. TP: 1.5-2:1 RR.
Avoid: Choppy news; <2 TF alignment.
Example: Alert on TF2 (15m). Switch to 5m: MOM aqua, price bounces EMA—long.Backtest Tip: Convert to strategy script for stats (55-65% win rate on aligns).
SamRSIIts multiple timeframe RSI indicator
Second RSI indicator can be enabled or disabled up on the necessity
Second RSI indicator has the ability to set to a different timeframe
Perfect for all types of trade (Intraday, Positional, Short term and Long term)
LTF Volume Bubbles on HTFLTFVB HTF plots lower-timeframe volume “bubbles” directly on your higher-timeframe chart, so you can see where and how strong real intrabar activity is without dropping down a timeframe.
Spectre On-Chain Season (CMC #101–2000, Nov’21/Nov’24 Anchors)Spectre On-Chain Season Index measures the real health of the on-chain market by focusing on the mid-tail of crypto — not Bitcoin, not ETH, not the Top 100.
Instead of tracking hype at the top of the market, this index looks at coins ranked #101–#2000 on CoinMarketCap and compares their current price performance to their cycle highs from:
November 2021 peak
November 2024 peak
Volume growthVolume Spike vs Previous Day
Description:
This indicator highlights moments of unusually high trading activity by comparing the current bar’s volume to the previous one.
Whenever the current volume exceeds the previous bar’s volume by a specified multiple, the candle is highlighted, and a visual marker appears on the chart.
It’s a simple yet powerful tool to instantly spot sudden spikes in market participation — often signaling key moments of accumulation, distribution, or breaking news activity.
How it works:
Compares the current volume to the previous bar’s volume.
If the increase exceeds your chosen multiplier (for example, 10×), the bar is highlighted.
A green “VOL↑” marker is displayed below the bar for quick visual recognition.
Optional alert conditions allow you to get notified whenever a spike occurs.
Inputs:
Multiplier — sets how many times larger the current volume must be compared to the previous one (default: 10).
Best for:
Spotting sudden surges in interest or liquidity.
Identifying potential breakout or reversal zones.
Works on any asset and any timeframe.
Trading Blueprint v7 Pro — VWAP-CVD, cPOC Trend MomentumTBv7 Pro is the advanced release of the Trading Blueprint framework — engineered for institutional-style intraday analysis that fuses VWAP location, CVD orderflow, composite profile bias, and momentum curvature into one cohesive system.
Core Framework
VWAP Structure → Adaptive mean anchored to session VWAP with ±1σ / ±2σ deviation envelopes for dynamic equilibrium detection.
vPOC per bar by ruckard ()
Anchored Volume Profile by DGT ()
CVD Orderflow Divergence → Smoothed delta histogram with fractal pivots identifying hidden absorption and exhaustion (patterns (Bull / Bear Div). Cumulative Volume Delta by AustrianTradingMachine )
cPOC Integration (2-Day Composite) by poopsnag (me :)→ Confirms true acceptance or rejection zones across sessions for precision bias alignment.
TMI (Trend Momentum Indicator by TradingRiot()) → Quantifies slope + mean crossover strength, providing actionable momentum confirmation (bullish / bearish support / divergence).
Bias Dashboard → Displays VWAP bias, numerical score, and dynamic color feedback for at-a-glance trade orientation.
Usage Context
Designed for professionals trading 15 m execution inside 1 h / 4 h context. Ideal for VWAP-cPOC location setups, reversion / continuation scalps, and orderflow confirmation using cumulative delta behavior.
🔧 Modules such as RSI / AO are pre-wired and easily activated for full Trading Blueprint confluence mapping.
MMM1this framework useful to show R1, R2, R3 and S1 , S2 , S3 and get more flexibility also work in all time fame.






















