[TTM] ICT Sessions & Ranges🌟 Overview 🌟
The ICT Sessions & Ranges Indicator helps traders identify key intraday price levels by marking custom session highs/lows and opening ranges.
It helps traders spot potential liquidity grabs, reversals, and breakout zones by tracking price behavior around these key areas
🌟 Session Highs & Lows – Liquidity Zones 🌟
Session highs and lows often attract price due to stop orders resting above or below them. These levels are frequently targeted during high-volatility moves.
🔹 Asia Session
- Usually ranges in low volatility.
- Highs/lows often get swept during early London.
- Price may raid these levels, then reverse.
🔹 London Session
- First major volatility of the day.
- Highs/lows often tested or swept in New York.
- Commonly forms the day’s true high or low.
🌟 Opening Range Concepts 🌟
The Opening Range is the first 15, 30, or 60 minutes of a session (e.g., New York).
The high (ORH) and low (ORL) define the market’s initial balance and key reaction levels.
🔹 Breakout Trade
- Price breaks ORH/ORL with momentum.
- Signals directional intent.
- Traders enter on the breakout, with stops inside the range.
🔹 Liquidity Raid
- Price briefly breaks ORH/ORL to trigger stops.
- Reverses after the sweep.
- Look for structure shift and entry near FVG or OB.
🌟 Customizable Settings 🌟
The indicator includes 3 configurable ranges , each with:
Start & End Time – Set any custom time window.
Display Type – Choose Box (highlight range) or Lines (mark high/low).
Color Settings – Set custom colors for boxes and lines.
🌟 Default Settings 🌟
Range 1 : 19:00–00:00 (Asia Session)
Range 2 : 01:45–05:15 (London Session)
Range 3 : 09:30–10:00 (NY Opening Range – 30m)
Indicators and strategies
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines — ZVOL ( volume anomaly detection ) and OBVX ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes optical tensegrity to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame.
🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets, Volumetric Tensegrity captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes.
🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate.
🧠 Core Logic - VTense separates and preserves two essential structural forces:
• ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior.
• OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off.
🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint.
🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points before price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation.
🪖 From Generals to Scouts
👀 When used jointly, ZVOL + OBVX act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a scout — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate.
🥂 Use the ZVOL + OBVX pair when :
• You need independent axis control and manual dissection
• You’re building long-form confluence setups
• You have more indicator slots than you need
🔎 Use VTense when :
• You need compact clarity across multiple instruments
• You’re prioritizing confluence _detection_ over granular separation
• You’re building efficient multi-layered systems under slot constraints
🏗️ Structural Behavior and Interpretation
🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline
🔵 Compression Coil – volume volatility is low and stable; the market is coiling
🟢 Steady Rhythm – volume is healthy but unremarkable; balanced participation
🟡 Passive/Absorbed Effort – expansion failing to manifest; watch for reversal
🟠 Clean Expansion – actionable volatility rise backed by structure
🔴 Volatile Blowout – chaos, climax; likely end-phase or fakeout
⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field.
🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves
🔑 The curvature of the spread reveals not just directional bias but crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision.
• Green Rising : Accumulation — upward pressure from real buyers
• Red Falling : Distribution — sell pressure, downward slope
• Flat Curves : Transitional → uncertainty, microstructure digestion
🎭 Synchronized vs Divergent Behavior
⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves.
• ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure
• ZVOL expands while OBVX steepens red = growing sell-side intent
🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps.
• ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment
⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release.
• ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy
• After prolonged drift, expect violent asymmetry when balance finally breaks
📚 Phase Interpretation: Dynamic Structural Read
• 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency
• 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension
• 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment
• 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal
💡 Suggested Use
• Run on 15m charts for breakout anticipation and 1H for validation
• Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase
• Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.)
• Ideal during low-volume regimes to detect pressure buildup before triggers
🧏🏻 Volumetric Tensegrity doesn’t signal. It breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
Essential EMAs (50/100/200) by Koenigsegg⚡ Essential EMAs (50/100/200) — Clean & Focused by Koenigsegg
A no-noise, high-impact EMA trio designed for clarity and precision. This script lays down the 50, 100, and 200 EMAs in a sleek, focused format — perfect for traders who rely on structure, trend, and execution without chart clutter.
Simple. Effective. Intentional.
🔑 Key Features
📏 Plots 50, 100, and 200 EMAs with distinct, easy-to-track colors
🧼 Designed for clean, distraction-free charts — only what matters
🧠 Powered by ta.ema() — fast, reliable, and framework-ready
🎨 Styling:
‣ Green = 50 EMA (short-term structure)
‣ Purple = 100 EMA (mid-term trend)
‣ Red = 200 EMA (macro/long-term bias)
📘 What is an EMA?
An Exponential Moving Average (EMA) is a dynamic average that gives more weight to recent price data. Compared to a simple moving average (SMA), the EMA reacts faster to price changes, making it ideal for identifying evolving trends and structural shifts.
Each EMA here:
- 50 EMA = shorter-term trend, more reactive, faster signal.
- 100 EMA = balanced view, tracks medium-term flows.
- 200 EMA = long-term structure; trusted by institutions.
💡 Pro Tip: EMA Strengths, Weaknesses & Usage
✅ Positives
- Speed & Sensitivity — Reacts faster to trend changes than SMA.
- Trend Clarity — Helps confirm direction and strength of a move.
- Dynamic Support/Resistance — Price often respects EMAs during pullbacks.
- Bias Filter — Quickly spot bullish/bearish context by observing price vs EMA.
⚠️ Negatives
- Lagging Nature — It still relies on past data, so not predictive.
- Choppy Markets — Can give false signals in ranging conditions.
- Over-Reliance — Using EMAs alone without context can mislead entries/exits.
- Not Magic — They show what was, not what will be — your edge must come from strategy, not just lines.
🧠 How to Use EMAs for Edge
📈 Trend Structure
- Bullish Bias: Price above 50/100/200 EMA — especially if they’re stacked: 50 > 100 > 200.
- Bearish Bias: Price below 50/100/200 EMA — stacked 200 > 100 > 50 confirms strength.
🔁 Crossover Signals (Momentum Shifts)
- Bullish Cross: 50 EMA crossing above 100 or 200 = possible trend acceleration.
- Bearish Cross: 50 EMA crossing below 100 or 200 = caution for reversals.
📌 Pro Edge Tip:
The space between EMAs matters. Tight clustering = indecision. Wide separation = trending strength or exhaustion. Use that spacing like a pressure gauge.
🕵️ Dynamic Support/Resistance
- Pullback to 50 EMA in an uptrend = possible re-entry zone.
- Rejection from 200 EMA = macro barrier; failure to break it can signal reversal or continuation failure.
🎯 Purpose
This script delivers the three most respected EMAs in trading — the 50, 100, and 200 — for structural awareness, trend confirmation, and entry/exit precision.
Whether you’re swing trading, day trading, or simply tracking price relative to long-term moving averages, this tool keeps your perspective grounded and your charts clean.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always perform your own analysis and trade responsibly.
6 Dynamic EMAs by Koenigsegg🚀 6 Dynamic EMAs by Koenigsegg
Take control of your chart with ultimate flexibility. This tool gives you 6 customizable EMAs across any timeframe, helping you read the market like a pro — whether you're scalping seconds or swinging days. Built for precision, designed for dominance.
The combinations? Endless. Mix and match any EMA lengths and timeframes for tailored confluence — exactly how elite traders operate.
🔑 Key Features
✅ 6 Fully Customizable EMAs
⏳ Multi-Timeframe Support (from seconds to months)
🎨 Custom Colors & Thickness for each EMA
🚨 Built-in Cross Alerts for instant trade signals
🧠 Clean, efficient logic using request.security()
🔁 Dynamically toggle EMAs on/off
⚙️ Lightweight for smooth chart performance
🧩 Endless combo potential — confluence on your terms
📈 What Is an EMA?
The EMA is a type of moving average that adjusts more quickly to recent price changes than a Simple Moving Average (SMA). It does this by giving exponentially more weight to the most recent candles.
⚙️ How Does It Function?
Smoothing Price Data:
It takes the average of closing prices over a chosen period (like 20 or 50 candles), but gives more influence to the latest prices.
Reacts Quickly to Price Shifts:
Since recent data is weighted more heavily, the EMA adjusts faster to sudden price changes — helping you spot trend reversals or momentum shifts earlier.
Dynamic Support & Resistance:
Traders often use EMAs as moving support/resistance levels. Price often "respects" EMAs in trending markets — bouncing off them during pullbacks.
Trend Confirmation:
- If price is above the EMA, the market is likely in an uptrend.
- If price is below the EMA, the market is likely in a downtrend.
- Multiple EMAs (like 12/21 or 50/200) crossing each other are used for entry/exit signals.
💡 Example:
If you use a 21 EMA on a chart, it shows you the average price of the last 21 candles, but the most recent ones weigh heavier. This makes the EMA more responsive than an SMA, and better for short-term or active trading.
📊 Why EMAs Matter — and How Multi-Timeframe EMAs Give You the Edge
Exponential Moving Averages (EMAs) are essential tools for identifying trend direction, momentum shifts, and dynamic support/resistance. Because they weight recent price data more heavily, EMAs adapt quickly to changing market conditions, giving traders early insight into reversals or continuations.
Where this script shines is in its multi-timeframe (MTF) capability. For example, plotting a daily EMA on a 4H chart gives you high-level directional guidance while still allowing precision entries. This enables confluence between LTF (low timeframe) signals and HTF (high timeframe) momentum — a crucial edge used by institutional-level traders.
You can configure the tool to run classic combos like the 12/21 crossover on your current chart, while layering in a 50 or 200 EMA from a higher timeframe for macro confirmation. The 6th EMA, colored light blue by default, is perfect for adding one final level of structure insight — often used as a long-term anchor or trend bias marker.
Whether you're riding the wave or catching the reversal, these EMAs serve as your adaptable compass in every environment.
🎯 Purpose
This indicator was built to give traders a clear, responsive, and multi-timeframe edge using dynamic Exponential Moving Averages. Whether you're trend-following, identifying momentum shifts, or building a confluence system — these 6 EMAs are here to align with your strategy and style.
💡 Pro Tip
Instead of cluttering your chart with multiple EMA indicators, this script consolidates all into one sleek tool. You can toggle off bands you don't currently need, like running only the 12/21 EMAs on your active chart timeframe, while adding the 12/21 EMAs from a higher timeframe to guide trade decisions.
With this setup, you're not just reacting — you're orchestrating your trades with intention.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and trade responsibly. Past performance does not guarantee future results.
Breakout Buy Alertupdate 3 in progress where we are trying to get current market price instead of close and open
Triple Stoch and RSI (4 assets)4 Hour Green Dots -
This indicator looks at four different assets and shows when the RSI and 3 different stochastic RSI levels are all oversold.
You can optionally add Red dots when they are all overbought but doesn't seem to be as accurate.
The assets and levels are all customizable.
Absorption Lines Basic Indicator:
Green support lines and red resistance lines will appear on your chart
Numbers 1-7 will show up as triangles above and below bars
Green triangles below bars are sell signals
Red triangles above bars are buy signals
For Scanning:
In TradingView's Stock Screener, add a custom filter using this indicator
Look for "New Level", "Signal Number", or "Bar Close At Level" conditions
For specific signals, use "Buy Signal X" or "Sell Signal X" (where X is 1-7)
For Alerts:
Set up alerts using the three alert conditions in TradingView
You'll be notified when new lines are printed, when bars close at levels, or when signals appear
TSLA2DTesla Swing Indicator
Overview
The Tesla Swing Indicator is a powerful and versatile trading tool designed to help traders identify swing trading opportunities, with a primary focus on Tesla (TSLA) stock. While optimized for TSLA, this indicator can also be applied to other stocks, making it a flexible addition to any trader’s toolkit. It combines multiple technical elements—Moving Averages (MAs), Stochastic signals, RSI-based background coloring, high volume detection, and a unique Bottom Line trend indicator—to provide a comprehensive view of market conditions.
Key Features
Moving Averages (MAs): The indicator plots four customizable MAs (default lengths: 20, 50, 150, and 300) to help identify trends and potential reversals. You can toggle between SMA and EMA for each MA and adjust their lengths and linewidths to suit your trading style.
MA1 (20-period EMA, yellow).
MA2 (50-period SMA, blue).
MA3 (150-period SMA, red).
MA4 (300-period SMA, white).
Stochastic Signals: The indicator uses Stochastic %K and %D to generate buy and sell signals:
Pre-Buy Signal (blue circles below candles): Indicates a potential buy when %K crosses above %D in oversold territory (below 20).
Crossover in Oversold (gold squares below candles): Confirms a buy signal when %K crosses above %D while both are below 20.
Crossunder in Overbought (pink squares above candles): Signals a potential sell when %K crosses below %D in overbought territory (above 80).
Note: While the Stochastic component works well for TSLA, it may produce less reliable signals on other stocks due to differences in volatility and price behavior. Adjust the Stochastic parameters (e.g., lengths) or test thoroughly when applying to non-TSLA stocks.
RSI Background Coloring: The background turns green when the 15-period RSI is above 50, indicating bullish momentum. This helps traders quickly gauge the strength of the current trend.
High Volume Background: The background highlights in yellow when volume exceeds 1.5 times the 20-period average volume, signaling significant market activity that often precedes big moves.
Bottom Line Trend Indicator: Positioned at the bottom of the chart, the Bottom Line acts as a trend indicator based on price interactions with the MAs:
Green: Indicates a bullish trend when the price is above MA2 (50-period).
Red: Signals a bearish trend when the price is below MA3 (150-period).
Gray: Reflects a neutral or transitional state when the price crosses below MA2 but isn’t below MA3, or when MA1 is above MA2 in a neutral context.
The Bottom Line provides a quick visual cue for the overall trend direction, helping traders align their strategies accordingly.
PVSRA Candle Coloring: The indicator applies Price-Volume-Sentiment-Range Analysis (PVSRA) to color candles based on volume and price action:
Lime (200% Bullish): High volume bullish candle (volume ≥ 2x average or weighted range condition).
Red (200% Bearish): High volume bearish candle.
Blue (150% Bullish): Rising volume bullish candle (volume ≥ 1.5x average).
Fuchsia (150% Bearish): Rising volume bearish candle.
White (Normal Bullish): Normal volume bullish candle.
Gray (Normal Bearish): Normal volume bearish candle.
This coloring helps traders identify significant candles driven by strong volume, often indicating potential trend continuations or reversals.
MACD Divergence Detection (Disabled by Default): The indicator includes logic to detect bullish and bearish MACD divergences, which can be enabled via the code for advanced users.
Usage
Best for Tesla (TSLA): The indicator is fine-tuned for TSLA, leveraging its volatility and volume characteristics to generate reliable signals. The Stochastic signals, in particular, are optimized for TSLA’s price action.
Other Stocks: The indicator can be applied to other stocks, but caution is advised with the Stochastic component. Stocks with different volatility profiles may require adjustments to the Stochastic parameters (e.g., k_length, k_smoothing, d_smoothing) to improve signal accuracy. Test thoroughly on your chosen stock and consider disabling Stochastic signals if they underperform.
Timeframes: Works on any timeframe, but swing traders may find the best results on daily higher. Ensure your chart has enough historical data (at least 300 bars) to calculate the longest MA (300 periods).
Customization: Adjust MA lengths, toggle between SMA/EMA, and tweak RSI and volume thresholds via the indicator settings to match your trading preferences.
How to Interpret
Trend Direction: Use the Bottom Line’s color (green, red, gray) to assess the overall trend. Green suggests a bullish bias, red indicates bearish conditions, and gray signals neutrality or a potential transition.
Momentum and Strength: The green RSI background (RSI > 50) confirms bullish momentum, while the absence of green indicates weaker momentum. Yellow high volume backgrounds highlight periods of significant market activity, often preceding major price movements.
Entry/Exit Signals: Look for Pre-Buy Signals (blue circles) and Crossover in Oversold (gold squares) for potential buy opportunities, and Crossunder in Overbought (pink squares) for sell signals. Confirm these signals with the trend direction (Bottom Line) and volume activity (yellow background).
Significant Candles: PVSRA candle colors help identify key price action. Lime and red candles (200% volume) indicate strong momentum, while blue and fuchsia (150% volume) suggest rising interest that may lead to bigger moves.
Limitations
Stochastic on Other Stocks: As noted, the Stochastic signals are optimized for TSLA and may generate false signals on stocks with different price behaviors. Adjust parameters or disable if necessary.
Historical Data: Ensure your chart has sufficient historical bars (at least 300) to calculate the longest MA. If not, reduce the MA4 length in the settings.
Volatility: The indicator assumes a certain level of volatility (as seen in TSLA). On low-volatility stocks, signals may be less frequent or less reliable.
Final Notes
The Tesla Swing Indicator is a robust tool for swing traders looking to capitalize on TSLA’s price movements, with the flexibility to adapt to other stocks with proper adjustments. Its combination of trend analysis (Bottom Line), momentum (RSI background), volume detection (high volume background), and entry/exit signals (Stochastic) provides a well-rounded approach to technical analysis. Use it as part of a broader trading strategy, and always backtest on your chosen stock and timeframe to ensure optimal performance.
BTC Markup/Markdown Zones by Koenigsegg📈 BTC Markup/Markdown Zones
A handcrafted indicator designed to mark Bitcoin's most critical High Time Frame (HTF) structure shifts. This tool overlays true institutional-level Markup and Markdown Zones, selected manually after deep market review. Whether you're testing strategies or actively trading, this tool gives you the bigger picture at all times.
🔍 Key Features:
✅ HTF Markup & Markdown Zones
Every zone is manually selected — no indicators, no repainting. Just raw market history and real structure.
✅ Two Display Modes
• Background Zones — soft overlays with low opacity for visual context — with the option to increase opacity manually if desired.
• Start Candle Highlight — sharply highlighted candle marking the final pivot before a macro reversal.
✅ Custom Color Controls (Style Tab)
All visual styling lives in the Style tab, with clearly labeled fields:
• Markup Zone
• Markdown Zone
• Start Candle Highlight Markup
• Start Candle Highlight Markdown
✅ Minimal Input Section
Just one toggle: display mode. Everything else is kept clean and intuitive.
🧠 Purpose:
This script is made for any timeframe:
• Zoom into lower timeframes to know whether you're trading inside a Markup or Markdown
• Use it during strategy testing for true structural awareness
📅 Handpicked Macro Turning Points:
Each zone originates from a manually confirmed candle — the last meaningful candle before a shift in control between bulls and bears:
• FRI 19 AUG 2011 12PM – MARK DOWN
• THU 20 OCT 2011 12AM – MARK UP
• WED 10 APR 2013 12PM – MARK DOWN
• FRI 12 APR 2013 12PM – MARK UP
• SAT 30 NOV 2013 12AM – MARK DOWN
• WED 14 JAN 2015 12PM – MARK UP
• SUN 17 DEC 2017 12PM – MARK DOWN
• SAT 15 DEC 2018 12PM – MARK UP
• WED 14 APR 2021 4AM – MARK DOWN
• TUE 22 JUN 2021 12PM – MARK UP
• WED 10 NOV 2021 12PM – MARK DOWN
• MON 21 NOV 2022 8PM – MARK UP
• THU 14 MAR 2024 4AM – MARK DOWN
• MON 5 AUG 2024 12PM – MARK UP
• MON 20 JAN 2025 4AM – MARK DOWN
💡 Zones are manually updated by me after each new confirmed Markup or Markdown.
🧬 Fractal Structure for MTF Systems
Price is fractal — meaning the same principles of structure repeat across all timeframes. In Version 2, this tool evolves by introducing manually selected sub-zones inside each High Time Frame (HTF) Markup or Markdown. These sub-zones reflect Medium Timeframe (MTF) structure shifts, offering precision for traders who operate on both intraday and swing levels.
This makes the indicator ideal for low timeframe (LTF) Markup/Markdown awareness — whether you're managing 15m entries or building multi-timeframe confluence systems.
No auto-zones. No guesswork. Just clean, intentional structure division within the broader trend, handpicked for maximum clarity and edge.
💡 Pro Tip:
When price is inside a Markup Zone, shorting becomes riskier — you're trading against a macro bullish structure.
When inside a Markdown Zone, longing becomes riskier — you're fighting against confirmed bearish momentum.
Use this tool to stay aligned with the broader move, especially when zoomed into smaller timeframes or managing entries/exits during intraday setups.
📈 Markup Phase – Bullish Sentiment
Definition: A period where price makes higher highs and higher lows — the uptrend is in full force.
Why sentiment is bullish:
- Institutions and smart money are already positioned long.
- Public/institutional demand drives prices up.
- Momentum is supported by positive news, breakouts, and FOMO.
- Higher highs confirm buyers are in control.
📉 Markdown Phase – Bearish Sentiment
Definition: A period where price makes lower lows and lower highs — clear downtrend.
Why sentiment is bearish:
- Distribution has already occurred, and supply outweighs demand.
- Smart money is short or sidelined, waiting for deeper prices.
- Panic selling or trend-following traders add downside momentum.
- Lower lows confirm sellers are in control.
❌ Trading Against the Trend — Consequences:
-Reduced Probability of Success
-You’re fighting the dominant flow. Most participants are pushing in the opposite direction.
-Drawdowns & Stop-Outs
-Countertrend trades often get wicked or flushed before any meaningful move, especially without structure-based entries.
-Low Risk-Reward Ratio
-Trends offer sustained moves. Countertrend trades may have small take-profit zones or chop.
-Mental Drain & Doubt
-Fighting momentum causes anxiety, second-guessing, and emotional reactions.
-Missed Opportunities
-Focusing on fighting the trend makes you blind to the high-probability setups with the trend.
-Increased Transaction Costs
-More stop-outs and re-entries mean more fees, more friction.
-FOMO from Watching the Trend Run
-Entering countertrend means you might watch the trend explode without you.
-Confirmation Bias & Stubbornness
-Countertrend traders often look for reasons to justify staying in the wrong direction — leading to bigger losses.
🧠 Summary
In markup = bulls dominate → you swim with the current.
In markdown = bears dominate → going long is like pushing a rock uphill.
Trading with the trend is not just safer, it's smarter. The edge lives in momentum — not ego.
⚠️ Disclaimer
This indicator is for educational and analytical use only. It is not financial advice and should not be relied on for decision-making without personal analysis.
This is not a predictive tool. No indicator can forecast upcoming price movements.
What you see here is based purely on past market behavior — specifically, historical tops and bottoms that marked the start of confirmed reversals.
This script does not know where the next reversal begins, nor can it determine where a new Markup or Markdown starts or ends. It is designed to provide context, not prediction.
Always trade with responsibility and perform your own due diligence.
Elliott Waves Auto (Waves 1–3)//@version=5
indicator("Elliott Waves Auto (Waves 1–3)", overlay=true)
pivotLen = input.int(5, "Pivot Lookback", minval=1)
// === كشف القمم والقيعان ===
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float wave1Low = na
var float wave1High = na
var float wave2Low = na
var float wave3High = na
var int wave1LowBar = na
var int wave1HighBar = na
var int wave2LowBar = na
var int wave3HighBar = na
// === اكتشاف موجة 1 ===
if pl and na(wave1Low)
wave1Low := low
wave1LowBar := bar_index - pivotLen
if ph and not na(wave1Low) and na(wave1High)
wave1High := high
wave1HighBar := bar_index - pivotLen
// === اكتشاف موجة 2 ===
if pl and not na(wave1High) and na(wave2Low)
wave2Low := low
wave2LowBar := bar_index - pivotLen
// === اكتشاف موجة 3 ===
if ph and not na(wave2Low) and na(wave3High)
possibleWave3 = high
if possibleWave3 > wave1High
wave3High := possibleWave3
wave3HighBar := bar_index - pivotLen
// === رسم الموجات ===
if not na(wave1Low) and not na(wave1High)
line.new(wave1LowBar, wave1Low, wave1HighBar, wave1High, color=color.blue, width=2)
label.new(wave1LowBar, wave1Low, text="Wave 1", style=label.style_label_up, color=color.blue, textcolor=color.white)
if not na(wave1High) and not na(wave2Low)
line.new(wave1HighBar, wave1High, wave2LowBar, wave2Low, color=color.orange, width=2)
label.new(wave2LowBar, wave2Low, text="Wave 2", style=label.style_label_down, color=color.orange, textcolor=color.white)
if not na(wave2Low) and not na(wave3High)
line.new(wave2LowBar, wave2Low, wave3HighBar, wave3High, color=color.green, width=2)
label.new(wave3HighBar, wave3High, text="Wave 3", style=label.style_label_up, color=color.green, textcolor=color.white)
IU Inside out candlestick patternIU Inside Out Candlestick Pattern
This indicator identifies the Inside Out Candlestick Pattern — a unique 3-bar price action setup that captures strong market momentum and potential reversals with greater reliability than traditional patterns.
Pattern Logic:
The Inside Out pattern builds upon a classic engulfing setup by adding a breakout confirmation, making it a refined and filtered approach to candlestick analysis.
Bullish Inside Out Logic:
- Bar must be a bullish engulfing candle (engulfs previous bearish candle).
- Current bar must be bullish and must close above the high of the engulfing candle (a bullish breakout).
- When this setup is confirmed, a shaded green box is drawn around the range of the engulfing candle and its preceding bar.
Bearish Inside Out Logic:
- Bar must be a bearish engulfing candle (engulfs previous bullish candle).
- Current bar must be bearish and must close below the low of the engulfing candle (a bearish breakdown).
- When confirmed, a red box highlights the zone formed by the engulfing candle and its prior bar.
Why this is unique:
Unlike conventional candlestick indicators that trigger signals immediately after an engulfing pattern, this script adds a breakout condition to validate follow-through strength. This reduces false positives and gives traders a clearer edge. The pattern is also rare, which means it captures strong, decisive moves when it does appear.
How users can benefit:
- High-quality entries: Only shows patterns with proven follow-through, improving trade timing.
- Visual clarity: Boxes and labels highlight significant price zones for easy interpretation.
- Flexible use: Applicable across timeframes and instruments — ideal for both intraday and swing traders.
- Alerts included: Real-time alerts help traders stay updated without staring at charts all day.
This script is a powerful tool for price action traders looking to enhance pattern reliability and signal strength through structure-based breakout confirmation.
30-Day VWAP with StdDev Bands30-day VWAP script with ±1, ±2 standard deviation bands and shading between them. You can also customize the number of deviations if you like.
True Strength Index (TSI)%📌 Script Name: TSI Percentuale
This script is a custom True Strength Index (TSI) indicator that expresses momentum strength as a percentage from 0% to 100%, instead of the traditional TSI scale.
✅ What the Script Does
Calculates the standard TSI:
Uses double exponential smoothing of price changes and their absolute values.
Formula:
TSI_raw
=
100
×
DoubleSmoothed(ΔPrice)
DoubleSmoothed(|ΔPrice|)
TSI_raw=100×
DoubleSmoothed(|ΔPrice|)
DoubleSmoothed(ΔPrice)
Normalizes TSI to a percentile scale:
Over a user-defined lookback period, the script finds the lowest and highest TSI values.
It then rescales the current TSI to a value between 0% (minimum) and 100% (maximum).
50% represents neutral momentum (i.e., "flat").
Plots the result:
tsi_percent is plotted as a blue line.
Horizontal dashed/dotted lines are drawn at:
0% → strong downward momentum
50% → neutral
100% → strong upward momentum
⚙️ Inputs
Long Length: Long EMA smoothing period (default: 25)
Short Length: Short EMA smoothing period (default: 13)
Signal Length: (not used in this version, can be removed or extended)
Lookback Period: Number of bars to calculate min/max normalization (default: 100)
🧠 Why Use This Indicator
The classic TSI ranges around and can be hard to interpret.
This version makes TSI visually intuitive by converting it to percentile form, allowing easier comparison of momentum strength across time and instruments.
It’s particularly useful for defining zones like:
Above 70% = strong bullish
Below 30% = strong bearish
Ultimate Crossover Indicator (Tablolu & Bar Hizalı)Komut dosyası tüm geçerli indikatörleri orta ve kısa vade için toplu olarak grafik üzerinde gösteriyor. tablo üzerinde çizgi açıklamaları var. İnceleyip kullanabilirsiniz. :)
Ultimate Crossover Indicator (EMA, MACD, RSI, QQE, ATR)
📌 This indicator analyzes trend direction and momentum crossovers to generate the most reliable buy and sell signals.
✅ A live indicator panel is displayed at the top center of the chart showing real-time EMA, MACD, RSI, QQE, and ATR values.
✅ Indicators are aligned with price levels for better readability and accuracy.
✅ MACD and QQE crossovers confirm trend reversals with greater precision.
✅ RSI identifies overbought and oversold conditions to filter out false signals.
✅ ATR measures volatility, helping set safer stop-loss levels.
💡 Optimized for minute and hourly charts! This is a perfect tool for traders looking to enhance their market analysis on TradingView.
🚀 Use this indicator on TradingView to identify buy and sell opportunities more clearly! 📊
✅ This description is ready for publishing! Let me know if you need any refinements. 🚀😃
DDDDD: SMI Quad Sync📄DDDDD: SMI Quad Sync
A multi-timeframe momentum synchronization indicator using 4 Stochastic Oscillators with different lengths (9, 14, 40, 60) to detect collective oversold and overbought zones.
✅ Key Features:
Plots 4 stochastic lines with vertical offsets for better visual separation.
Generates a Long Signal (green square) when all 4 stochastics are below the oversold level.
Generates a Short Signal (red square) when all 4 stochastics are above the overbought level.
Use signals to confirm multi-timeframe momentum alignment or exhaustion.
🎯 How to Use:
Look for green square → potential LONG entry: signals multi-timeframe oversold condition.
Look for red square → potential SHORT entry: signals multi-timeframe overbought condition.
Combine with trend analysis, price action, or other confirmation for optimal entries.
📝 Notes:
The plotted stochastic lines are visually shifted (offset) for clarity; signals are computed from raw, unshifted values.
Designed for traders who prefer confluence across different stochastic lookback periods to improve confidence.
👉 Ideal for scalping, swing trading, or as a momentum filter in broader strategies.
Stochastic w/ Crossovers and Deadspace FilterThis is my extremely useful modification of the classic Stochastic indicator. It includes clear signals of crossovers and crossunders of the K/D lines.
Additionally, I added a "deadspace" filter to remove plotting of signals in the middle of the range, which tend to be misleading.
This can be incredibly useful to find entries and trends, especially when using 2 instances of this indicator at different lengths (such as one of 14,1,3 and another of 28,3,6).
The deadspace filter works based on the middle line, so a value of 20 will not plot any crossovers between 30-70.
OTE & A-B-C Zone Indicator SwiftEdgeOTE & A-B-C Zone Indicator SwiftEdge
Overview
The OTE & A-B-C Zone Indicator SwiftEdge is a versatile tool designed to help traders identify high-probability trading setups using a combination of Optimal Trade Entry (OTE) zones, Fibonacci levels, and A-B-C price patterns. This indicator is particularly useful for traders who rely on price action and Fibonacci-based strategies to find entry points, set stop-losses, and target potential take-profit levels. By integrating swing point detection, trend analysis, and Fibonacci projections, SwiftEdge provides a clear visual framework for making informed trading decisions across various timeframes.
What It Does
SwiftEdge identifies key price levels and zones to guide your trading:
OTE Zone: Highlights the Optimal Trade Entry zone between swing points A (swing high) and B (swing low) using Fibonacci retracement levels (default: 0.618 to 0.786). This zone represents a high-probability area for price reversals, making it an ideal entry point for trades.
A-B-C Pattern: Marks the latest swing points as A (swing high), B (swing low), and C (projected take-profit level) with dashed lines and labels. A solid line connects A to B to C, visually illustrating the price movement from entry to target.
Take-Profit Zones: Projects three customizable take-profit levels (TP1, TP2, TP3) based on Fibonacci extensions (default: 1.272, 1.618, 2.0) from the A-B swing, helping traders plan exits with favorable risk-reward ratios.
How It Works
SwiftEdge combines several technical components to create a cohesive trading system:
Swing Point Detection: Identifies significant swing highs (A) and swing lows (B) using a dynamic lookback period that adjusts to the selected timeframe. On lower timeframes like 1-minute charts, an ATR-based filter reduces noise by requiring price movements to exceed a threshold (0.5 * ATR(14)).
Trend Analysis: Uses an Exponential Moving Average (EMA) to determine the trend direction (default: 50-period EMA on 1H). The indicator marks uptrends (price above EMA) in green and downtrends (price below EMA) in red, ensuring trades align with the market's direction.
Fibonacci Levels: Applies Fibonacci retracement to define the OTE zone between A and B, and Fibonacci extensions to project take-profit levels (C) beyond the initial swing. This approach leverages the natural tendency of markets to respect Fibonacci ratios for reversals and extensions.
Visual Clarity: Displays only the latest A-B-C pattern with three dashed lines (A, B, C) and a solid connecting line, ensuring the chart remains uncluttered and easy to interpret.
The combination of these elements creates a structured setup where the OTE zone (between A and B) serves as an entry point, while the projected C level offers a target, all within the context of the prevailing trend. This synergy makes SwiftEdge a powerful tool for traders seeking to combine price action, trend analysis, and Fibonacci strategies.
How to Use
Add the Indicator: Apply the indicator to your chart via TradingView's indicator menu.
Identify the Trend: The OTE zone and A-B-C pattern will be colored green in uptrends (price above EMA) or red in downtrends (price below EMA). Use this to determine the market direction.
Entry Point: Look for price reversals within the OTE zone (between A and B). This zone is typically between the 0.618 and 0.786 Fibonacci retracement levels of the A-B swing, making it a high-probability area for entries.
Stop-Loss: Place your stop-loss below the OTE zone in an uptrend (or above in a downtrend) to protect against false breakouts.
Take-Profit Targets: Use the projected take-profit zones (TP1, TP2, TP3) as potential exit levels. These are based on Fibonacci extensions and can be toggled on/off in the settings.
Customization:
Adjust the Fibonacci levels for the OTE zone (Fibonacci Level 1 and Fibonacci Level 2) to suit your strategy.
Modify the take-profit levels (Fibonacci Extension Level for TP1/TP2/TP3) to target different extension ratios.
Change the lookback period (Base Lookback Period) and EMA period (Base EMA Period) to fine-tune swing point detection and trend sensitivity.
Customize colors for uptrends, downtrends, and A-B-C lines to match your preferences.
What Makes It Unique
SwiftEdge stands out by integrating swing point detection, Fibonacci-based OTE zones, and A-B-C price patterns into a single, visually intuitive indicator. Unlike standalone Fibonacci tools or trend indicators, SwiftEdge combines these elements to provide a complete trading setup: it identifies entry zones (OTE), confirms trend direction (EMA), and projects take-profit targets (Fibonacci extensions). The dynamic timeframe adjustment ensures consistent performance across all chart intervals, while the clean A-B-C visualization (with only the latest pattern displayed) prevents chart clutter, making it easier to focus on the most relevant price levels.
Notes
This indicator is designed for traders familiar with price action and Fibonacci strategies. It does not guarantee profits and should be used in conjunction with other analysis tools and proper risk management.
Performance may vary depending on market conditions and timeframe. Test the indicator on a demo account before using it in live trading.
ICT Core Macro Times (EST)ICT Core Macro Times where there's reversals and liquidity lies. Shows deadzones as well.
My script//@version=5
indicator("12M High Volume Screener", overlay=false, screen=true)
// Calculate 12-month window dynamically
var int lookbackDays = 252
var int maxBarsBack = 5000
// Define timeframe for volume analysis (daily regardless of chart TF)
dailyVolume = request.security(syminfo.tickerid, "D", volume, lookahead=barmerge.lookahead_on)
// Calculate highest volume over trailing 12 months (excl. current bar)
highestVol = ta.highest(dailyVolume , lookbackDays)
// Detect volume breakout condition
volumeBreakout = dailyVolume > highestVol and barstate.isrealtime
// Screener output formatting
screener_output = volumeBreakout ? 1 : 0
// Visual confirmation (optional)
plot(screener_output, "Volume Breakout", plot.style_columns,
color=volumeBreakout ? color.new(color.green, 70) : color.gray)
12-Month High Volume12 month high vol
show on the bar
//@version=5
indicator("12-Month High Volume", overlay=true)
// Define lookback period (12 months ~ 252 trading days)
lookback = 252
// Get highest volume in the last 252 bars (excluding current bar)
highest_vol = ta.highest(volume , lookback)
// Check if today's volume is higher than the previous 252 days
is_highest_today = volume > highest_vol
// Plot signal on chart
plotshape(is_highest_today, title="Highest Volume in 12 Months", location=location.belowbar, color=color.red, style=shape.labelup, text="12M High Vol")
// Optional: Display volume on chart
//plot(volume, title="Volume", color=color.gray, style=plot.style_columns)
Scalping Template - XAUUSD//@version=5
indicator("Scalping Template - XAUUSD", overlay=true)
// EMA
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
plot(ema50, color=color.blue, title="EMA 50")
plot(ema200, color=color.orange, title="EMA 200")
// QQE Mod Histogram (simplified)
src = close
rsi = ta.rsi(src, 14)
rsiEma = ta.ema(rsi, 5)
hist = rsi - rsiEma
plot(hist, title="QQE Histogram", color=hist >= 0 ? color.aqua : color.fuchsia, style=plot.style_columns, linewidth=2)
// Stochastic RSI
k = ta.stoch(close, high, low, 14)
d = ta.sma(k, 3)
plot(k, title="Stoch %K", color=color.green)
plot(d, title="Stoch %D", color=color.red)
hline(80, "Overbought", color=color.gray)
hline(20, "Oversold", color=color.gray)
Support/Resistance Breakout DetectorThis indicator automatically detects and plots dynamic support and resistance levels using pivot highs and lows.
✅ It draws red resistance lines and blue support lines,
✅ The lines extend forward but automatically stop when the price touches them,
✅ It monitors for breakouts with strong volume,
✅ When a breakout happens, it shows labels like “B” or “Bull Wick” / “Bear Wick” on the chart,
✅ It also triggers alerts when support or resistance breaks with high volume.
Main settings:
Pivot lookback period
Show/hide breakout labels
Minimum volume for breakout
Maximum extension length for lines
This tool helps traders easily spot key price levels and watch for meaningful breakouts.
