Lightning Osc PreVersion2Lightning Osc PreVersion2 is a refined evolution of the earlier Lightning Osc PreVersion designed in a cleaner visual style and equipped with enhanced divergence recognition.
It continues the Lightning philosophy of precision and minimalism — built for traders who need a clear, responsive oscillator that reacts naturally to market rhythm without over-complication.
The indicator highlights the key dynamic zones at ±67.65 and ±98.7, which often mark momentum transitions, exhaustion areas, or the beginning of structural shifts.
These zones help identify when the market is entering overheated or oversold states and when it is likely to regain balance.
The divergence system tracks confirmed turning points, showing potential moments of internal reversal within the current move.
Lightning Osc PreVersion2 is crafted to read momentum clarity rather than raw noise.
It keeps the chart clean, focusing only on the essential impulses that often precede visible changes in structure.
Although it functions perfectly on its own, it works especially well when used together with Lightning Fib PreVersion — forming a powerful combination where the Fib indicator defines structure, and the Oscillator defines timing and strength.
Best Timeframes: 1m–1h
Style: non-repainting, minimal, precision momentum reading
,
by MahaTrend
Educational
Pro Maker All in One - FreePro Maker All in One - Free
This indicator provides a simple yet powerful setup combining EMA20, EMA50, and SMA50 trend analysis in one place.
📊 Features:
Dynamic color changes for SMA50 based on trend (Green = Uptrend, Red = Downtrend).
Optional EMA20 & EMA50 with auto color (Blue = Bullish, Pink = Bearish).
Helps identify early trend reversals and overall market direction.
⚙️ Usage:
Enable or disable EMAs/SMA as per your trading style. Works on all timeframes and instruments (stocks, indices, crypto).
💡 Note:
This is a free educational tool designed for learning and basic technical trend analysis. It does not generate buy/sell signals and should not be considered financial advice.
Lightning Osc • PreVersion
The Lightning Osc • PreVersion is where the MahaTrend vision began —
the first oscillator designed to visualize the pulse of the market itself.
It reveals how momentum expands, cools down, and reverses through natural rhythm,
allowing you to see balance and exhaustion with clarity and precision.
This is the original core from which every Lightning indicator later evolved —
simple, focused, and deeply intuitive.
🧭 Purpose
The indicator highlights overbought and oversold rhythm zones,
helping traders recognize when the market may have reached its energetic limits.
Rather than generating signals, it visualizes the transitions of energy
— the quiet shift that often happens before price movement changes direction.
💡 Core Logic
When the curve moves above +67.65, the market enters an overbought zone.
The most informative moment is the break below and retest of that boundary —
it often reflects fading upward strength and possible correction.
When the curve dips below −67.65, the market enters an oversold zone.
A break above and retest of this area may show that selling pressure is exhausted
and the market is ready for relief or reversal.
These levels do not dictate trades — they show rhythm
so you can understand when momentum begins to breathe again.
⏱ Recommended Timeframes
Optimized for 1-minute to 1-hour charts,
the Lightning Osc • PreVersion is most expressive on lower timeframes
where short-term volatility and energy flow are clearly visible.
🧩 How to Use
Add the indicator to a separate pane below your chart.
Choose the calculation timeframe (default: current chart TF).
Observe the curve:
Above +67.65 → Overbought zone
Below −67.65 → Oversold zone
±4.6 → Micro-pulse equilibrium
Focus on break & retest behavior near key zones —
these moments often reveal changing market rhythm.
Always confirm with your broader context and personal strategy.
🌩 Philosophy
This PreVersion marks the beginning of the Lightning language —
a balance between structure and flow,
between overextension and calm restoration.
It embodies the MahaTrend idea that the market is not chaos,
but an energy field breathing in and out through rhythm.
Disclaimer:
For educational and analytical use only.
This indicator does not provide financial advice or guaranteed results.
Always combine it with your own analysis and risk management.
— by MahaTrend
Trading Checklist CustomizableThis Strategy Checklist is a simple but powerful tool designed to help traders follow a structured confirmation process before entering trades. It provides a customizable checklist of confluences that can be edited directly in the settings — ensuring consistency, discipline, and clarity in your trading plan.
This script doesn’t generate signals automatically; instead, it serves as a trader’s personal decision framework. Perfect for ICT-style, price action, or smart money traders who rely on multi-factor confirmations like liquidity sweeps, PD Arrays, and SMTs.
Where it says Conf1 it is customizable to fit your own confluences/entry.
No-Trade Zones UTC+7This indicator helps you visualize and backtest your preferred trading hours. For example, if you have a 9-to-5 job, you obviously can’t trade during that time — and when backtesting, you should avoid those hours too. It also marks weekends if you prefer not to trade on those days.
By highlighting no-trade periods directly on the chart, you can easily see when you shouldn’t be taking trades, without constantly checking the time or date by hovering over the chart. It makes backtesting smoother and more realistic for your personal schedule.
VCP — Simple Detector (v0.2) + Vol Spike + RS Filter By DEBVCP — Simple Detector (v0.2) + Volume Spike + RS Filter
This indicator:
✅ Helps detect VCP structure
✅ Adds confirmation filters
✅ Helps find high-quality breakouts
What it does
This TradingView indicator (not a strategy) identifies Mark Minervini-style Volatility Contraction Pattern (VCP) setups and highlights breakouts that are confirmed by:
Tightening price contractions
Volume dry-up inside the base
Volume spike on breakout
Relative Strength (RS) leadership vs benchmark (default = SPY)
It visually marks:
✅ VCP emerging setups
⚡ Breakout signals
Core Logic
1) Pivot detection
The script uses pivot highs and lows to detect two consecutive pullbacks:
Larger contraction → smaller contraction
= tightening volatility
It saves:
lastHigh1 / lastLow1
lastHigh2 / lastLow2
From those, it measures:
C1 = % contraction of earlier swing
C2 = % contraction of more recent swing
Condition required:
C1 ≥ minPullback%
C2 ≥ minPullback%
C2 < C1 → contraction is tightening
This matches Minervini’s concept of multiple volatility squeezes inside a base.
2) Volume dry-up
Inside the base, volume should dry up before the breakout.
Script checks:
current volume < VolSMA × (dryPct / 100)
This represents supply drying up → sellers exhausted.
3) VCP setup
If price contraction is tightening and volume is drying up →
✅ setup = TRUE
This marks a base that is contracting properly.
4) Breakout trigger
A breakout requires:
price > last pivot high
volume spike ≥ VolSMA × (volSpikePct/100)
RS condition true
If all above true →
⚡ breakout = TRUE
The script plots a green triangle at the breakout candle.
5) Volume spike confirmation
Breakout must be supported by above-average volume:
current volume ≥ VolSMA × BREAKOUT_MULTIPLIER
Example:
VolSMA = 1,000,000
threshold = 140%
→ need ≥ 1,400,000 shares to validate breakout
This confirms institutional demand.
6) RS (Relative Strength) Filter
RS compares the stock to a benchmark (default: SPY):
RS = stock close / SPY close
Two rules:
RS > RS Moving Average
RS is near its high over the lookback window
(Within a user-defined tolerance %)
Meaning:
✅ stock is outperforming the benchmark
✅ leadership is emerging now
If RS is weak → breakout signal is rejected.
This helps avoid mediocre & lagging stocks.
✅ Outputs
Plots
Blue line = pivot high
Yellow circle = VCP setup detected
Green triangle = confirmed breakout
Table panel
Shows:
C1/C2 contraction %
Volume dry-up status
Volume spike status
RS condition
Pivot price
Input Purpose
Pivot Left/Right Sensitivity of swing detection
Min Contraction % Minimum pullback size to qualify
Volume SMA Avg volume calculation
Dry-up % Volume must fall below this threshold
Breakout Volume % Volume must exceed this % of avg
RS Benchmark Stock to compare against (SPY default)
RS SMA Smooth RS trend
RS Lookback Range to evaluate RS near-high
RS Tolerance % How close RS must be to new highs
✅ Workflow
✔ Step 1 — Identify swings (pivots)
Find recent highs/lows
✔ Step 2 — Measure contraction %
Check:
1st contraction ≥ minimum
2nd contraction ≥ minimum
2nd < 1st
✔ Step 3 — Check volume dry-up
✔ Step 4 — Check RS leadership
✔ Step 5 — Confirm breakout
Price > pivot high
AND volume spike
AND RS strong
→ Mark breakout on chart
USE:
This indicator is best used to:
Identify stocks entering constructive bases
Find proper breakouts with:
Decreasing supply
Increasing demand
Relative performance leadership
It helps filter:
Late stage breakouts
Weak stocks
Fake breakouts without real volume
No-RS garbage moves
⚠ IMPORTANT
This indicator:
✅ Helps detect VCP structure
✅ Adds confirmation filters
✅ Helps find high-quality breakouts
❌ It does not:
Place trades
Include stops
Summary
This script identifies high-quality VCP patterns by confirming:
✔ Contraction is tightening
✔ Volume is drying up
✔ Breakout happens above pivot
✔ Breakout happens on strong volume
✔ Stock is outperforming the market
If all conditions are met → breakout is valid.
It gives you a simple, realistic, reliable VCP scan aligned with Minervini principles.
✅ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. All trading involves risk, including the risk of loss. You are solely responsible for your own investment decisions and should conduct your own research or consult with a qualified financial professional before making trading decisions. Use this script at your own risk. Past performance does not guarantee future results.
Price Predictor ProIndicator Name: Price Predictor Pro
Overview:
Price Predictor Pro is a comprehensive, multi-functional technical analysis tool designed to forecast potential price targets and the time required to reach them. It combines advanced volatility analysis, trend direction, liquidity factors, and linear regression to provide a sophisticated price and time prediction model. The indicator is highly customizable and features a clean, informative display with multi-language support.
Key Features:
Multi-Factor Prediction Model:
Volatility Analysis: Calculates average candle movement using ATR or custom candle measurement (body/wicks).
Trend Direction: Incorporates market direction using SMA, EMA, RSI, or MACD with adjustable sensitivity.
Liquidity & Volume: Weights predictions based on volume profiles or On-Balance Volume (OBV).
Price Regression: Offers three linear regression methods (L1, L2, L3) to generate automatic price targets and identify key zones.
Flexible Target Setting:
Set up to three manual price targets.
Alternatively, use the regression forecast as an automatic target.
Displays target lines and labels directly on the chart.
Advanced Calculation Modes:
Separate calculation for bullish and bearish candles.
Optional logarithmic scale for price difference calculation.
Adjustable safety margin and bar limits for realistic timeframes.
Professional Visualization:
Dual Display Modes: Choose between a detailed table or a minimalistic overview.
Customizable Colors: Distinct colors for bullish, bearish, and neutral predictions.
Multi-language UI: Full support for English, Russian, Chinese, and Spanish.
Highly Configurable:
Dozens of input parameters to fine-tune the algorithm to any trading style or asset.
Toggle visibility of lines, labels, and the information table.
Strategic Interpretation of Multiple Regression Methods:
The three regression methods (L1, L2, L3) may provide different predictions, which can be used for strategic analysis. For example:
Solana at $198: L1 shows $224 (bullish target), L2 shows $192 (neutral), L3 shows $188 (support).
Trading Interpretation: This divergence suggests the asset has local support targets below ($188-192), but the primary global target remains above ($224). This could indicate a potential long entry opportunity from the $188-192 support zone with an ultimate target at $224.
Important Usage Notes:
Asset-Specific Configuration: The indicator requires individual optimization for each trading asset and timeframe. Default settings may not be optimal for all instruments.
Backtesting Essential: Practice shows that thorough backtesting on historical data is crucial to find the optimal parameters for your specific trading strategy and asset.
Flexible Predictions: Price predictions and time-to-target calculations will vary significantly based on your configuration settings. Experiment with different combinations to find what works best for your market approach.
Input Parameters:
🎯 Main Settings: Research Period, Target Price, Multiple Targets.
📊 Candle Settings: Use ATR, Candle Body/Wicks, Separate Bull/Bear calculation.
🧭 Direction Settings: Direction Method (SMA/EMA/RSI/MACD), Sensitivity, Period.
📈 Price Prediction: Linear Regression settings (Study/Forecast Bars, Method).
💧 Liquidity & Volume: Volume/Liquidity weighting, OBV.
🎨 Display: Colors, Show Table/Labels/Lines, Text Size, Minimal Mode.
⚙️ Advanced: Safety Margin, Min/Max Bars, Logarithmic Calculation.
🌐 Language: Interface language selector.
How to Use:
Basic Prediction: Simply apply the indicator to your chart. It will use the regression forecast as a default target and calculate the number of bars needed to reach it.
Manual Targets: Enter your specific price targets in the "Main Settings". Enable "Multiple Targets" for Target 2 and Target 3.
Fine-Tuning: Adjust the "Research Period" and "Candle Settings" to match the asset's volatility. Use the "Direction Sensitivity" to control how strongly the trend impacts the prediction.
Reading the Table: The information table (top-right) shows key metrics like current volatility, trend direction, and detailed predictions for each target, including the estimated achievement date.
Disclaimer:
This tool is for educational and research purposes only. It should not be considered as financial advice. The predictions are based on historical data and statistical models, which are not guarantees of future performance. Always conduct your own due diligence and backtesting before making any investment decisions.
Smart Dollar Cost Averaging DashboardThis closed-source TradingView indicator implements a comprehensive Dollar Cost Averaging (DCA) savings plan simulation designed to automate systematic investments. The script allows users to set a fixed investment amount and choose a customizable interval—weekly, monthly, or quarterly—at which purchases are simulated against historical or live price data. The core functionality calculates the average buy-in price dynamically by tracking cumulative invested capital and total acquired shares, providing a true average cost basis rather than simple price signals. This average price is visualized as a persistent, non-draggable horizontal line on the chart, enabling traders to intuitively compare the market price to their average entry point. A movable and toggleable dashboard accompanies the indicator, delivering real-time metrics including total investment, number of purchases, portfolio value, profit/loss both in absolute and percentage terms, and the price gap relative to the computed average buy-in. This transparency helps users understand their position’s health and supports disciplined long-term investment strategies. This script stands unique by combining flexible periodic investment scheduling with real capital calculations and detailed, easy-to-read visual feedback that is rarely bundled so intuitively in similar scripts. Unlike many open-source trend-following or scalping tools, this indicator focuses on systematic investment and passive portfolio growth, ideal for investors pursuing dollar cost averaging. Unlike standard buy/sell signal creators or simplistic moving average crossovers, this script models actual cash flow deployment and quantifies performance in real-time with a clean, professional UI. Its originality lies in marrying realistic capital flow simulation with intuitive visualization and multi-interval flexibility.
How It Works:
Tracks virtual investments of fixed cash amounts at user-defined intervals Converts invested amounts into shares based on closing prices, accumulating holding size Recalculates weighted average purchase price after each simulated buy Continuously displays the average buy-in as a stable graphic element on any price chart Offers detailed investment metrics through an interactive dashboard overlay Supports weekly, monthly, and quarterly investment cadences with user-selectable investment days Use Cases: Ideal for investors employing systematic savings plans to build long-term positions Fits cryptocurrency, stock, ETF, and index investments on TradingView Supports financial education by illustrating dollar cost averaging principles visually Facilitates performance tracking for passive investors who prioritize consistent buying over timing The script is an advanced tool meeting a distinct trading niche: systematic, cash-based, passive investment modeling with transparency and user control. This originality and usefulness justify the closed-source mode to protect intellectual property.
Monversity ScalperMonversity Scalper is an enhanced version of our previous indicator, redesigned specifically for high-frequency scalping strategies. It focuses on short-term market movements, providing more precise entry and exit zones suitable for rapid trades on lower timeframes.
This version integrates improved signal logic, dynamic filters, and optimized confirmations to adapt to volatile conditions—making it ideal for traders who prefer fast momentum setups and tight risk management.
⚠️ Disclaimer: Monversity Scalper is created strictly for educational and demonstration purposes. It is not intended as financial advice or a guarantee of performance. Always test thoroughly and trade responsibly.
ATR_G🏷️ Title (for TradingView Script Upload):
ATR_G — Intraday vs Daily ATR Strength Analyzer
💡 Short Description (One-line tagline):
Compare intraday and daily ATR strength to identify breakout volatility or low-momentum zones.
📖 Full Description (For “Description” field):
📊 Overview
The ATR_G Indicator (by Gaurav) helps you measure relative volatility strength between intraday and daily timeframes.
It highlights when current price movement is stronger or weaker than its average range using color-coded volatility zones.
⚙️ How It Works
Calculates the ATR (Average True Range) based on the past n candles (default: 10).
Compares the current candle’s range (High–Low) with its average ATR, giving a % ratio:
PATR
=
(
High
−
Low
)
ATR
×
100
PATR=
ATR
(High−Low)
×100
The same process is done for Daily timeframe using request.security() to fetch daily highs and lows.
📋 On-Chart Table Display
The indicator creates a compact table showing:
ATR → Average True Range
T_ATR → Current candle range
P_ATR (%) → Current % of ATR
D-ATR → Daily ATR
D_P_ATR (%) → Daily % of ATR
🧭 How to Use
When both P_ATR and D_P_ATR turn 🟧 (above 100%), expect momentum breakout.
When both turn 🟩 (below 100%), expect consolidation or mean reversion.
Combine with price structure, RSI, or ADX for directional confirmation.
🔧 Inputs
ATR_LEN: ATR calculation period (default = 10)
Speccy Breakout – Ignition + Expansion (Entries & Exits)ASX:DTR Speccy Breakout — Ignition + Expansion (Entries & Exits)
A structured breakout-detection framework for small-cap and momentum stocks. It identifies where volume contraction flips into expansion, filters out false signals, and tracks whether momentum continues or fades.
Ignition phase — Smart-money trigger
• Detects quiet-to-surge volume transitions.
• Confirms body %, RSI floor, and EMA alignment.
• Optional “first-bar only” mode to isolate the first ignition bar.
Expansion phase — Follow-through confirmation
• Confirms genuine continuation after ignition.
• Uses volume-average multipliers, multi-EMA confluence, RSI strength, and breakout-range tests.
• Can be gated to recent ignition events for cleaner setups.
Continuation layer (optional companion)
• Blends Chaikin Money Flow (CMF) and a Buy/Sell Ratio (CSR) to gauge ongoing bias.
• Green bias → accumulation / continuation. Red bias → distribution / reversal.
Inputs
Adjust volume percentiles, surge multiplier, candle-body %, RSI, EMA lengths, and display settings.
Enable “first signal only” for ignition/expansion.
Choose table position or on-chart display.
Usage
Scan for Ignition ✔ + Agg ✔ across your watchlist.
Confirm CMF > 0 and CSR > 1.3 = genuine momentum.
Track Expansion for continuation probability.
Combine with fundamentals or catalysts for conviction entries.
Best used on Daily / 4 h / 1 h timeframes. Designed for traders who favor probability-stacked, data-driven breakout confirmation.
Takas Toplama + Güç Puanı (Yorumlu Mini Tablo v3)📊 Indicator Summary (English)
This indicator detects early accumulation (smart money buying) in stocks near the bottom zones.
It analyzes RSI, volume, ATR, and EMA to calculate a “strength score.”
⚠️ Early Alert: Buying activity starting.
✅ Confirmed Accumulation: Trend reversal confirmed.
⏳ Waiting: No strong signal yet.
The table on the right displays easy-to-read comments such as “Accumulating,” “Volume Rising,” “Calm Market,” instead of raw numbers.
WaleedGhuman ICT's TradingModels/OrderFlow/MSSThis indicator Pine Script from developer M Waled Ghuman creates a comprehensive trading session highlighting tool specifically designed for 1-minute charts. It identifies and visually marks nine key market sessions across different time zones - including Asian, London, and New York trading hours - by coloring the background during specific one-minute windows. Each session (such as Asian Model 1 at 20:00, London Open at 02:00, CME Model at 08:30, and New York Silver Bullets at both 10:00 and 14:00) is assigned a unique color for easy identification.
Fibonacci Retracement & HTF candlesThe Fibonacci Retracement & HTF Candles combines higher-timeframe candles with a dynamic Fibonacci range system, helping traders visualize key market structure and retracement zones in one unified chart view.
It’s designed for traders who want to study multi-timeframe behavior and dynamic Fibonacci levels that automatically adjust to recent price action.
Higher Timeframe Candles
Displays candles from a higher timeframe (HTF) directly on your current chart (e.g., show 75-minute candles on a 5-minute chart).
The candles are accurately scaled using OHLC data from the selected timeframe.
You can customize:
Up/Down colors
Wick colors
Transparency
Offset (how far candles are shifted on the chart)
This helps visualize how smaller candles fit within larger market moves
Adaptive Daily Fibonacci Levels
The script automatically calculates Fibonacci retracement levels based on recent daily highs and lows — dynamically updating as price action evolves.
Choose the number of previous days (1–7) to define the range.
Calculates the highest high and lowest low over that range.
Updates in real-time when: A new day begins.
Price breaks out beyond the previous range.
Supports flipped logic:
If price breaks below range → draws Fibs bottom-up.
If price breaks above range → draws Fibs top-down.
This ensures your Fibonacci structure always aligns with current trend context.
Fibonacci Levels
Default levels include:
0, 0.118, 0.236, 0.382, 0.5, 0.618, 0.764, 0.882, 1.0
You can also enable Mid Fibonacci Lines to reveal intermediate zones between each key Fib level — excellent for scalpers and short-term traders who use micro-support/resistance levels
Labels and Styling
Each Fibonacci level is labeled for easy identification.
Choose:
Label text size
Label color
Label background transparency
Label offset (distance from price)
Optionally show or hide mid-level labels.
All labels dynamically reposition as new bars form to stay perfectly aligned
Customization Options
Main Inputs:
Timeframe: Select any higher timeframe for candle overlay.
Amount of Candles: Number of HTF candles to show.
Offset: Adjusts horizontal positioning of candles.
Number of Previous Days: Sets the range used for Fibonacci calculation (1–7).
Show Mid Lines / Labels: Toggle extra levels and text.
Line and Label Colors: Full color control for both Fibs and mids.
Label Offset & Transparency: Adjust spacing and visual clarity.
cd_correlation_analys_Cxcd_correlation_analys_Cx
General:
This indicator is designed for correlation analysis by classifying stocks (487 in total) and indices (14 in total) traded on Borsa İstanbul (BIST) on a sectoral basis.
Tradingview's sector classifications (20) have been strictly adhered to for sector grouping.
Depending on user preference, the analysis can be performed within sectors, between sectors, or manually (single asset).
Let me express my gratitude to the code author, @fikira, beforehand; you will find the reason for my thanks in the context.
Details:
First, let's briefly mention how this indicator could have been prepared using the classic method before going into details.
Classically, assets could be divided into groups of forty (40), and the analysis could be performed using the built-in function:
ta.correlation(source1, source2, length) → series float.
I chose sectoral classification because I believe there would be a higher probability of assets moving together, rather than using fixed-number classes.
In this case, 21 arrays were formed with the following number of elements:
(3, 11, 21, 60, 29, 20, 12, 3, 31, 5, 10, 11, 6, 48, 73, 62, 16, 19, 13, 34 and indices (14)).
However, you might have noticed that some arrays have more than 40 elements. This is exactly where @Fikira's indicator came to the rescue. When I examined their excellent indicator, I saw that it could process 120 assets in a single operation. (I believe this was the first limit overrun; thanks again.)
It was amazing to see that data for 3 pairs could be called in a single request using a special method.
You can find the details here:
When I adapted it for BIST, I found it sufficient to call data for 2 pairs instead of 3 in a single go. Since asset prices are regular and have 2 decimal places, I used a fixed multiplier of $10^8$ and a fixed decimal count of 2 in Fikira's formulas.
With this method, the (high, low, open, close) values became accessible for each asset.
The summary up to this point is that instead of the ready-made formula + groups of 40, I used variable-sized groups and the method I will detail now.
Correlation/harmony/co-movement between assets provides advantages to market participants. Coherent assets are expected to rise or fall simultaneously.
Therefore, to convert co-movement into a mathematical value, I defined the possible movements of the current candle relative to the previous candle bar over a certain period (user-defined). These are:
Up := high > high and low > low
Down := high < high and low < low
Inside := high <= high and low >= low
Outside := high >= high and low <= low and NOT Inside.
Ignore := high = low = open = close
If both assets performed the same movement, 1 was added to the tracking counter.
If (Up-Up), (Down-Down), (Inside-Inside), or (Outside-Outside), then counter := counter + 1.
If the period length is 100 and the counter is 75, it means there is 75% co-movement.
Corr = counter / period ($75/100$)
Average = ta.sma(Corr, 100) is obtained.
The highest coefficients recorded in the array are presented to the user in a table.
From the user menu options, the user can choose to compare:
• With assets in its own sector
• With assets in the selected sector
• By activating the confirmation box and manually entering a single asset for comparison.
Table display options can be adjusted from the Settings tab.
In the attached examples:
Results for AKBNK stock from the Finance sector compared with GARAN stock from the same sector:
Timeframe: Daily, Period: 50 => Harmony 76% (They performed the same movement in 38 out of 50 bars)
Comment: Opposite movements at swing high and low levels may indicate a change in the direction of the price flow (SMT).
Looking at ASELS from the Electronic Technology sector over the last 30 daily candles, they performed the same movements by 40% with XU100, 73.3% (22/30) with XUTEK (Technology Index), and 86.9% according to the averages.
Comment: It is more appropriate to follow ASELS stock with XUTEK (Technology index) instead of the general index (XU100). Opposite movements at swing high and low levels may indicate a change in the direction of the price flow (SMT).
Again, when ASELS stock is taken on H1 instead of daily, and the length is 100 instead of 30, the harmony rate is seen to be 87%.
Please share your thoughts and criticisms regarding the indicator, which I prepared with a bit of an educational purpose specifically for BIST.
Happy trading.
BTC Regime • Buy-the-Dip Pro (with Frozen/Manual Levels)BTC Regime • Buy-the-Dip Pro (with Frozen/Manual Levels)
A practical toolkit to time Bitcoin entries during bull regimes, manage risk, and systematize profit-taking. Works best on BTCUSD (Daily).
1) What this script does
Regime filter: Only take longs when trend is favorable (price above 200-day SMA and above 20-week EMA).
Buy-the-dip zone: Watches the most recent swing high (e.g., 90 days) and draws −15% / −22% / −30% pullback levels.
Levels that don’t drift: Choose Frozen on signal (levels lock at the bar that triggers a Buy) or Manual (pin your own prices).
Context: Seasonality shading (Sep & Q4), halving/ETF markers, BTC dominance bias.
Risk & sizing: ATR-buffered stop suggestion + position size estimate from your account & risk%.
Alerts: One-time dip entry alert (auto-reset on new swing high), Trend Exit, TP1 (prior high), TP2 (extension).
2) Quick installation
Open TradingView → any chart → Pine Editor.
Paste the script code → Save → Add to chart.
Symbol/timeframe: BTCUSD, 1D (daily).
Open the Settings (Inputs) panel and set preferences (see section 4).
3) Visuals on the chart
Aqua line = 200-day SMA.
Teal band = 20-week EMA/SMA band (from weekly data).
Green/Red backgrounds = Bull/Bear regime (bull = price above 200D & 20W EMA).
Horizontal dip lines = your active L1/L2/L3 (−15/−22/−30). In Frozen/Manual they stay aligned while you pan/zoom.
“BUY” triangle = one-time dip entry signal (meets regime + dip + optional RSI + dominance bias).
“EXIT” triangle = trend exit (lose 200D or 20W SMA).
Status panel (label): trend score, dip mode, entry/TP/stop, risk $, and suggested size.
4) Inputs explained (and suggested defaults)
Display
Show 200-day SMA (on)
Show 20-week band (on)
Shade September + Q4 (on)
Mark halvings + ETF (on)
Show status panel (on)
Dip levels mode
Frozen on signal (recommended): when “BUY” triggers, the script locks −15/−22/−30 at that bar.
Dynamic (auto): levels follow the latest swing high (will move as price makes new highs).
Manual: you type exact prices; they render as pinned horizontals.
If Manual mode
Manual Level A/B/C: enter prices for ~−15/−22/−30 (or any you want).
Core logic
Swing-high lookback (days): 90 (use 120 for fewer but deeper dips).
Use RSI(14) filter: off (turn on later to avoid buys when RSI > 70).
TP2 mode: Fib 1.272 (default); alternatives: Fib 1.618 or % above prior high (set 8–15%).
ATR length / multiple: 20 / 2.0 (range 1.5–2.5 works well).
Account size / Risk%: set your real figures; start with 0.5–1.0%.
Altseason bias (optional)
Altseason bias:
Off → ignore dominance.
Favor BTC leadership → require BTC.D rising & >55D MA rising & >55D MA.
Favor Altseason → require BTC.D falling & <55D MA.
BTC Dominance symbol: CRYPTOCAP:BTC.D (default; if unavailable, turn bias Off).
5) Alerts to create (Once per bar close)
BTC Buy-the-Dip (one-time) → entry alert; resets when a new swing high prints.
TP1 hit (prior high) → take partial profits (50–70%) at the old high.
TP2 hit (extension) → exit remainder or switch to a trailing stop.
BTC Trend Exit → exit open positions if 200D or 20W SMA is lost.
Tip: If you ladder entries, set your broker/platform orders when the BUY alert fires (e.g., 40% near −22%, 40% around −25/−26% manual mid, 20% near −30%).
6) Trade plan (repeatable process)
Only trade the bull regime: green background, price above 200D & 20W EMA.
Wait for the dip: buy only inside −15 to −30% from the swing high (or your Manual levels).
Size with risk: panel shows Stop (ATR below 20W/200D), Risk$, Size BTC. Keep per-trade risk ≤ 1%; total open risk ≤ 3%.
Manage winners:
TP1 (prior high): trim 50–70%, move stop to breakeven + 0.5×ATR.
TP2 (Fib/%) : exit remainder or trail (e.g., chandelier or weekly close below 20W SMA).
Obey the exit: “Trend Exit” means flatten the rest.
7) Regime & context rules of thumb
Trend Score ≥ 60 → you have tailwind; ≥ 75 → strong trend.
September (red shade) → scale down size or be more selective.
Q4 (green shade) → if trend is strong, OK to lean in modestly.
Dominance bias (optional) → guardrails for BTC vs alt phases (doesn’t force trades).
8) Examples (how to stage entries)
Three-tier ladder:
40% near L2 (−22%)
40% near mid (~−25/−26%) (add a manual level if you wish)
20% near L3 (−30%)
If only L1 hits and price bounces, you still have a starter with a good stop.
9) Troubleshooting & tips
Lines drifting: Use Frozen on signal or Manual; Dynamic intentionally follows new highs.
No dominance data: Set Altseason bias = Off.
Too many signals: Increase lookback (e.g., 120), enable RSI filter, or require Trend Score ≥ 60 (visual check).
Few fills: Add a mid level manually; widen to −12/−20/−28% if that fits your style.
Script performance: Keep on Daily for clarity and lighter recalcs.
10) Safety & limitations
No system wins every trade. The edge here is: trend selection + patient entries + fixed risk + structured exits.
Always test on a paper account first; confirm your broker/exchange order types.
11) Optional next steps
I can deliver a strategy() backtest version with:
Exact entry/partial/exit logic,
Equity curve, win rate, drawdown,
Input optimization (lookback, ATR multiple, TP2 mode).
Want me to add a trailing stop menu (Chandelier vs. 20-week close) and a mid-dip custom level input out of the box?
Quick checklist (daily)
Regime green? (above 200D & 20W EMA)
Trend Score ≥ 60?
BUY alert fired? Place ladder orders per the panel size & stop.
TP1/TP2/Exit alerts? Execute and log.
SPX Bull Market, Bear market and Corrections Since 1929 This script show visually with labels all the BULL & BEAR Market since 1929 with intermediary corrections.
Bear Market = Price drop of >=20% (based on closing price not intra day low)
Corrections = Price drop of >=10% and < 20% (based on closing price not intra day low, in intraday price it may go beyond 20% but closes in less than 20% )
The script doesn't update as we move forward , I need to manually update during every correction/bull/bear phases.
It is a good visual to study the past bull and bear market to gain some key insights!
VLATMIR LOOTINWell THB i have never coded before this is my first crack at td9. TBH this was first a trend and Candle but we adding stay around have fun > thank you thomas < AKA ASIAN FRANK<
Zarks 4H Range, 15M Triggers Pt1HTF Dividers + 4H Candle Structure + CRT Reference Tool
🔹 Vertical Blue Lines → represent divisions of the 4-hour timeframe, helping you visually segment intraday structure into HTF blocks.
Green Dotted Line → marks the High of each 4-hour interval.
🔵 Blue Dotted Line → shows the Open of that 4-hour interval.
⚫ Gray Dotted Line → displays the Close of that 4-hour interval.
🔴 Red Dotted Line → highlights the Low of that 4-hour interval.
💡 CRT Concepts (Candle Range Theory by Romeo TPT)
CRT signals are not direct buy/sell signals ❌💰 — they serve as contextual reference points 🧭.
A high-probability setup often appears when:
A 4H sweep of a previous candle’s high occurs 🐢 (liquidity manipulation),
Followed by a bearish 15-minute close,
Targeting the 50% retracement of that 4H candle’s range 🎯.
📊 Use this tool to frame market structure across timeframes, align entries with liquidity events, and visualize when price may be expanding from or reverting to institutional reference points.
This indicator is meant to be combined with vertical lines on the 15 min time frame at corresponding times example 1:45,4:45,9:45
AlfaBitcoin Dashboard – Estrategia Combinada (Juan + Gael)Integrate the TradingView (TV) indicators with the sessions from October 16 and 21 (Gael Sánchez Smith and Juan Rodríguez). We can build an alert system or dashboard that combines what was discussed in both sessions with your custom indicators on TradingView.
Zonar v1.5🟣 ZONAR v1.5 — Precision Market Mapping System
ZONAR is a proprietary market-structure engine that fuses price-action logic, real-time trend adaptation, and algorithmic zone validation into one integrated framework.
Unlike typical SMC indicators that simply draw order blocks or FVGs, Zonar reconstructs market intent by dynamically grading and updating structural zones as they evolve.
🧠 Core Logic
Zonar’s engine continuously analyses three key dimensions of price movement:
Hierarchical Market Structure Recognition — Detects higher-timeframe swing ranges, recalibrates the active trend, and synchronizes lower-timeframe structure shifts.
Adaptive Zone Generation — Builds order-block, mitigation-block, and imbalance zones only when algorithmic displacement and retracement criteria are met — filtering out noise and redundant zones.
Zone Integrity Tracking — Every plotted zone is validated, aged, and visually deactivated once mitigated or invalidated, giving traders a clean, self-updating chart environment.
⚙️ What Makes ZONAR Unique
Proprietary Zone Logic: Combines displacement candles, body/-wick validation, and retracement confirmation to mark institutional footprints with higher precision.
Dynamic Higher-Timeframe Context: Each zone aligns automatically with higher-timeframe BOS/CHOCH logic, updating the premium/discount bias in real time.
OTE Mapping Engine: Integrates a built-in Optimized Trade Entry (61.8–79%) range, synchronized with structural swing highs/lows for accurate retracement targeting.
Zone Lifecycle Visualization: Active zones transition through stages — valid → retraced → mitigated — visually represented with color fading and label updates.
Smart Signal Output: Generates live entry, stop-loss, and multi-target projections (TP1–TP3) derived from each zone’s structure and directional bias.
🎯 How It Helps
Zonar filters the chaos of price action into a clean, interpretable map — identifying where liquidity is engineered and where true institutional interest resides. It helps traders anticipate rather than react, focusing only on areas where probability, structure, and precision converge.
Psychological Levels + Retest The script detects key round-number psychological levels such as 00, 50, and 100 zones based on the pair’s pip structure.
It then monitors price behavior around these zones using customizable buffers to highlight reaction areas.
When price breaks above a major or minor psychological level while trading above the 200 EMA, the indicator tracks for a retest confirmation. Once the required number of touches occurs within the defined buffer, the indicator marks the retest area and can trigger alerts for trade opportunities.
IDRISPAUL - Resistance OnlyThe script continuously scans recent price action to identify pivot highs that qualify as potential resistance zones. Once a resistance level is detected, the indicator:
Draws a resistance box around the identified zone.
Monitors for breakouts above that resistance.
Tracks potential retests and confirms valid retests when price action revisits the broken level.
Triggers alerts for each event: new resistance, breakout, potential retest, and confirmed retest.
All levels and labels automatically update as the chart evolves
