Trade Size Calculator By Skapez Trade Size Calculator By Skapez — ARM it, Drag & Trade!
A simple, position-sizing calculator for easy trader sizing.
It plots Entry / Stop / TP lines, sizes your trade to a fixed % risk (e.g., 2%), calculates leverage, and shows clean labels (Risk $, TP $, Position $, Leverage ×). You can ARM a setup, drag the lines to fine-tune, and (optionally) trigger alerts for webhooks.
What it does:
Fixed-fractional risk : sizes position so SL equals your chosen % of account (e.g., 2%).
Leverage cap & lot rounding : respects your max leverage and exchange lot step.
Drag-to-edit : move Entry/Stop; TP and sizing update automatically.
Swing-stop helper (optional): snap SL to recent swing low/high or nearest pivot. (Auto stop loss finder)
Valid-until window: auto-expires stale setups (e.g., after 120 minutes).
Alerts-ready: add your own JSON in the alert to send to a bot/webhook.
Quick start (60 seconds)
Add to chart and open Settings.
In Risk, set:
Account Balance (USD) and Risk % (e.g., 2.0).
Side (Long/Short).
In Levels:
Put an Entry price (or leave 0 to use current price when you ARM).
Choose Stop: type it manually or toggle Swing stop helper.
Pick your Target R multiple (e.g., 3.0 for 3:1).
In Leverage, set:
Leverage Cap (e.g., 10×) and Min/Step Size (e.g., 0.001 BTC).
Toggle ARM on. Three lines appear. Drag the blue/red lines if needed; the green TP and all numbers update.
Tip: Pin the indicator to the Right Price Scale (format icon → “Pin to scale”) so everything lines up perfectly.
On-chart visuals
Blue = Entry (label shows Position $ and Leverage × to the far right).
Red = Stop (label shows Risk $).
Green = TP (label shows TP P&L $).
Works on any symbol/timeframe; prices are rounded to the symbol’s tick size.
That’s it—arm, drag, and go.
樞軸點和水平
HL Asie & Londres (NY)This indicator plots the High and Low of the Asian session (19:00–03:00 NY) and the London session (04:00–12:00 NY) without overlap.
Levels are updated live as soon as a new wick forms.
Only the current day’s lines are displayed (auto-reset at the start of each NY day).
Lines are extended to the right for easy reference.
Useful for intraday traders to quickly spot session ranges and key levels of interest.
SMC Suite – OB • Breaker • Liquidity Sweep • FVGSMC Suite — Order Blocks • Breaker • Liquidity Sweep • FVG
What it does:
Maps institutional SMC structure (OB → Breaker flips, Liquidity Sweeps, and 3-bar FVGs) and alerts when price retests those zones with optional r ejection-wick confirmation .
Why this isn’t “just a mashup”?
This tool implements a specific interaction between four classic SMC concepts instead of only plotting them side-by-side:
1. OB → Breaker Flip (automated): When price invalidates an Order Block (OB), the script converts that zone into a Breaker of opposite bias (bullish ⇄ bearish), extends it, and uses it for retest signals.
2. Liquidity-Gated FVGs : Fair Value Gaps (3-bar imbalances) are optionally gated—they’re only drawn/used if a recent liquidity sweep occurred within a user-defined lookback.
3. Retest Engine with Rejection Filter : Entries are not whenever a zone prints. Signals fire only if price retests the zone, and (optionally) the candle shows a rejection wick ≥ X% of its range.
4. Signal Cooldown : Prevents spam by enforcing a minimum bar gap between consecutive signals.
These behaviors work together to catch the sequence many traders look for: sweep → impulse → OB/FVG → retest + rejection.
Concepts & exact rules
1) Impulsive move and swing structure
• A bar is “ impulsive ” when its range ≥ ATR × Impulsive Mult and it closes in the direction of the move.
• Swings use Pivot Length (lenSwing) on both sides (HH/LL detection). These HH/LLs are also used for sweep checks.
2) Order Blocks (OB)
• Bullish OB : last bearish candle body before an i mpulsive up-move that breaks the prior swing high . Zone = min(open, close) to low of that candle.
• Bearish OB : last bullish candle body before an impulsive down-move that breaks the prior swing low . Zone = high to max(open, close).
• Zones extend right for OB Forward Extend bars.
3) Breaker Blocks (automatic flip)
If price invalidates an OB (closes below a bullish OB’s low or above a bearish OB’s high), that OB flips into a Breaker of opposite bias:
• Invalidated bullish OB → Bearish Breaker (resistance).
• Invalidated bearish OB → Bullish Breaker (support).
Breakers get their own style/opacity and are used for separate Breaker Retest signals.
4) Liquidity Sweeps (decluttered)
• Bullish sweep : price takes prior high but closes back below it.
• Bearish sweep : price takes prior low but closes back above it.
Display can be tiny arrows (default), short non-extending lines, or hidden. Old marks auto-expire to keep the chart clean.
5) Fair Value Gaps (FVG, 3-bar)
• Bearish FVG : high < low and current high < low .
• Bullish FVG : low > high and current low > high .
• Optional gating: only create/use FVGs if a sweep occurred within ‘Recent sweep’ lookback.
6) Retest signals (what actually alerts)
A signal is true when price re-enters a zone and (optionally) the candle shows a rejection wick:
• OB Retest LONG/SHORT — same-direction retest of OB.
• Breaker LONG/SHORT — opposite-direction retest of flipped breaker.
• FVG LONG/SHORT — touch/fill of FVG with rejection.
You can require a wick ratio (e.g., bottom wick ≥ 60% of range for longs; top wick for shorts). A cooldown prevents back-to-back alerts.
How to use
1. Pick timeframe/market : Works on any symbol/TF. Many use 15m–4h intraday and 1D swing.
2. *Tune Pivot Length & Impulsive Mult:
• Smaller = more zones and quicker flips; larger = fewer but stronger.
3. Decide whether to gate FVGs with sweeps : Turn on “Require prior Liquidity Sweep” to focus on post-liquidity setups.
4. Set wick filter : Start with 0.6 (60%) for cleaner signals; lower it if too strict.
5. Style : Use the Style / Zones & Style / Breakers groups to set colors & opacity for OB, Breakers, FVGs.
6. Alerts : Add alerts on any of:
• OB Retest LONG/SHORT
• Breaker LONG/SHORT
• FVG LONG/SHORT
Choose “Once per bar close” to avoid intrabar noise.
Inputs (key)
• Swing Pivot Length — swing sensitivity for HH/LL and sweeps.
• Impulsive Move (ATR ×) — defines the impulse that validates OBs.
• OB/FVG Forward Extend — how long zones project.
• Require prior Liquidity Sweep — gate FVG creation/usage.
• Rejection Wick ≥ % — confirmation filter for retests.
• Signal Cooldown (bars) — throttles repeated alerts.
• Display options for sweep marks — arrows vs short lines vs hidden.
• Full color/opacity controls — independent palettes for OB, Breakers, and FVGs (fills & borders).
What’s original here
• Automatic OB → Breaker conversion with separate retest logic.
• Liquidity-conditioned FVGs (FVGs can be required to follow a recent sweep).
• Unified retest engine with wick-ratio confirmation + cooldown.
• Decluttered liquidity visualization (caps, expiry, and non-extending lines).
• Complete styling controls for zone types (fills & borders), plus matching signal label colors.
🔹 Notes
• This script is invite-only.
• It is designed for educational and discretionary trading use, not as an autotrader.
• No performance guarantees are implied — always test on multiple markets and timeframes.
Swing Z – Crypto Trading Algorithm | Zillennial Technologies IncSwing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align.
Core Concept
Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments.
Trend Structure (EMA 9, 21, 50, 200)
Short-term EMAs (9 & 21) detect immediate momentum shifts.
Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance.
Momentum & Confirmation Layer
RSI measures relative strength and market conditions.
MACD crossovers confirm momentum shifts and trend continuations.
Volatility & Market Pressure
TTM Squeeze highlights compression zones likely to precede breakouts.
Volume analysis confirms conviction behind directional moves.
VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks.
Price Action Filters
Fibonacci retracements are integrated to identify key reversal and continuation levels.
Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets.
Features
Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins).
Works effectively on swing and trend-based timeframes (1H–1D).
Combines trend, momentum, volatility, and price action into a single framework.
Generates clear Buy/Sell markers and integrates with TradingView alerts.
How to Use
Apply to a clean chart for the clearest visualization.
Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation.
Combine with your own stop-loss, take-profit, and position sizing rules.
Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results.
Disclaimer
Swing Z is designed as a decision-support tool, not financial advice.
All backtesting should use realistic risk, commission, and slippage assumptions.
Past results do not guarantee future performance.
Signals do not repaint but may adjust as new data develops in real-time.
Why Swing Z is original & useful:
Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
SMAs, EMAs, 52W High Low, CPRThis is all in one indicator which has SMAs, EMAs, CPR, Trend ribbon and SuperTrend.
We are adding other indicator in upcoming days.
Signalgo CHoCHSignalgo CHoCH: Informative Technical Overview
Signalgo CHoCH is a multi-factor indicator designed for TradingView to detect “Change of Character” (CHoCH) shifts in market structure, signaling significant trend reversals and managing trades with risk control. This documentation details how it operates, its customizable parameters, signal methodology, what makes it different from traditional tools, and typical strategy applications.
How Signalgo CHoCH Works
1. Market Structure Detection
Swing High & Low Identification: The indicator uses an adaptive swing length to isolate important pivot highs and lows in price action. These pivots signal points where the market reversed direction or paused, forming the “swing structure” core to this strategy.
Body Strength Validation: Not every pivot break is meaningful. Signalgo CHoCH assesses price bar “body strength”—quantifying if the current candle’s body is disproportionately large compared to a recent average—to filter out weak or indecisive moves, retaining only those breaks likely to indicate genuine momentum.
2. Change of Character (CHoCH) Signal Logic
Bullish CHoCH: Triggered when price closes above the last significant swing low (the most recent support) with a strong candle body, indicating a transition from bearish to bullish market structure.
Bearish CHoCH: Triggered when price closes below the last significant swing high (key resistance) with a strong bearish candle, denoting a shift from bullish to bearish structure.
One-Time Event Recognition: Each break is tracked so that signals are issued only once per directional change, reducing repeated or redundant entries.
3. Higher Timeframe Confirmation
Multi-Timeframe Consistency: The indicator requires the CHoCH signal (on the current trading timeframe) to be confirmed by the market structure status of a selected higher timeframe. This adds an extra layer of validation, ensuring the signal aligns with broader trends.
Inputs
SwingLen: The number of bars used to define swing pivots.
bodyStrength & bodyLookback: Control sensitivity for body size validation, filtering which candle breaks are considered strong enough for signaling.
htfTf: Selects the higher timeframe for multi-timeframe checking.
show_tpsl: Toggle to show/hide automated Take Profit (TP) and Stop Loss (SL) levels on the chart.
ATR, TP/SL/RR/Trailing Settings: Determines how risk and reward are managed, using ATR for stop placement and multi-level profit targets with optional trailing stop activation after TP1.
Entry & Exit Strategy
Entry Logic
Long Entry: When a bullish CHoCH is detected, optionally confirmed by the higher timeframe, it marks a buy opportunity at the close of the breakout candle.
Short Entry: When a bearish CHoCH forms, also with optional higher timeframe confirmation, it identifies a sell entry at the close of the confirmation candle.
Exit & Trade Management
Stop Loss (SL): Automatically placed at a set ATR distance from entry, dynamically adapting to volatility.
Take Profits (TP1, TP2, TP3): Multiple reward targets are calculated and marked for systematic scaling out or profit-taking, based on a defined risk multiple.
Trailing Stop: Once the first profit target is hit, SL moves to breakeven, and a trailing stop engages, incrementally securing further gains if the trend continues.
State Tracking: All TP, SL, and trailing events are labeled on the chart for easy post-trade analysis.
Body Strength and Trend Filtering: Breakouts are only considered if the candle’s body confirms significant momentum, not just a fleeting spike, improving signal quality.
Event-Driven, Not Rolling: Each bullish or bearish “character change” is signaled only at the true point of structural shift, with strict per-event marking, not continuous signal generation as with typical MA cross strategies.
Integrated Multi-Timeframe Logic: higher timeframe validation minimizes false positives from short-term volatility noise, a capability not found in most indicator-based tools.
Automated, Dynamic Trade Management: This indicator overlays a complete trade management suite (TPs, SL, trailing) that moves with market conditions, allowing for risk handling directly from each signal.
Trading Strategy Application
Trend Reversal & Continuation: Suitable for identifying both sudden reversals and structural continuations, adaptable for intraday, swing, or positional trading styles.
Noise Filtering: Multiple checks (body strength, momentum, multi-timeframe) focus signals on genuine trend changes, filtering out most “whipsaws” seen in pure MA systems.
Visual Feedback: All transitions, TPs, SLs, and trailing events are visually annotated, enhancing the educational and review process.
SMC Swing Lines • Core v0.2.6SMC Swing Lines • Core v0.2.6
Purpose
SMC Swing Lines • Core plots objective swing‐based levels used in Smart Money Concepts. The script identifies recent swing highs/lows and projects them as horizontal “liquidity lines” that persist until invalidation (break) or mitigation (touch/retest). It is designed to give a clean structural map for EQH/EQL clusters, sweeps, and level-to-level delivery, without signals or forecasting.
What it plots
Swing High / Swing Low lines – drawn from confirmed pivots.
Status-aware styling – fresh (active) vs mitigated levels can use different line styles/widths/colors.
Optional zones – lines may be displayed as narrow boxes (wick or full range) to reflect the chosen swing area.
Lookback control – limit historical levels by days/bars to keep charts readable.
Notes
• Pivots confirm only after the selected lookback completes; lines are created on confirmation.
• Lines extend to the right until a mitigation/invalidating close, according to your settings.
How it detects swings
Pivot length (L/R): a symmetric left/right bar count forms a pivot.
Area mode:
Wick Extremity – uses absolute high/low (best for liquidity sweeps).
Full Range – uses the candle’s full range/body (stricter structure).
Inputs (key settings)
Pivot Lookback – bars left/right to confirm a swing.
Swing Area – Wick Extremity or Full Range.
Extend Until Fill – keep a level alive until price trades through/taps it (mitigation).
Hide Filled – remove lines once mitigated to reduce clutter.
Line Style & Width – separate styles for highs/lows and for fresh vs mitigated.
Colors – independent high/low/zone colors.
Labels (optional) – minimal markers for visual anchoring.
Lookback Window – limit by bars or days (performance & clarity).
(Exact control names in the panel may use concise variants of the labels above.)
Alerts (optional)
Mitigation / Touch – alert when price interacts with an active line.
Confirmation timing – alerts are designed to evaluate on bar close for reliability.
TradingView Alerts → “Create Alert” → condition: SMC Swing Lines • Core → choose the relevant event and your timeframe.
Recommended use
Timeframes: works from intraday to HTF. Typical ranges:
Intraday (3–15m): Pivot 3–7
Swing (30m–4h): Pivot 5–15
HTF (6h–1D+): Pivot 10–25
Area choice:
Wick Extremity to highlight liquidity grabs/sweeps.
Full Range when you want stricter structure mapping.
Chart hygiene: enable “Hide Filled” or reduce lookback to manage density.
Limitations & behavior
Pivot confirmation: swings appear only after the right-side lookback completes; this is not a “leading” signal.
No strategy component: the script does not generate entries/exits or claims of edge—use it as a structural map alongside your own trade plan (e.g., FVG/OB filters, session timing, volume context).
MTF: if you project higher-TF context via separate layouts, remember that lower-TF price can interact with HTF lines intrabar before the HTF bar closes.
Changelog (Core 0.2.6)
Stability & styling refinements for active vs mitigated levels.
Consistent alerting on bar close.
Minor UI text and default presets cleanup.
Hourly High/Low Sweep Lines – Fixed HorizontalMarks out the hourly high and lows for levels of liquidity for take profits
Simple Confluence Buy SignalMulti time frame. best time frames are higher frames for it. clean structure.
BankNifty Institutional Zone MapperBankNifty Institutional Zone Mapper is a powerful support–resistance mapping tool designed to reveal the hidden grid where institutions are most likely placing their orders.
Instead of random lines, this indicator uses dual baselines with equidistant spacing to create highly accurate zones that act as magnets for price.
🔹 Why try it?
Detect institutional reaction levels instantly.
Spot high-probability support & resistance zones without guesswork.
Works seamlessly across intraday & positional trading.
Eliminates chart clutter while keeping the levels precise & repeatable.
Whether you’re trading BankNifty options, futures, or intraday moves, these zones will help you identify where real market battles are happening.
Add it once to your chart, and you’ll immediately see why price respects these levels again and again.
Varma Fractal TEMA + Strong Move Candle DetectorIts a combined Indicator built on the concepts of Fractals, EMAs, RSI, ATR and Awesome Oscillators. A fractal is a small, repeating price pattern composed of five price bars or candlesticks that helps identify potential turning points in a market trend. It acts as a technical indicator to highlight support and resistance levels, signifying potential reversals. Specifically, a bullish fractal has the middle bar as the lowest low (a "V" shape), signaling a possible uptrend reversal, while a bearish fractal has the middle bar as the highest high (an inverted "V"), indicating a potential downtrend reversal. EMA tracks an asset's price over a specific period by placing greater weight on recent data points, making it more responsive to current market changes than a Simple Moving Average (SMA). Traders use EMAs to identify bullish and bearish trends, spot potential entry and exit points, and capture market momentum and price shifts quickly, especially in shorter time frames. RSI (Relative Strength Index) is a momentum oscillator used in trading to measure the speed and change of price movements, indicating whether a security is overbought (likely to fall) or oversold (likely to rise). Developed by J. Welles Wilder Jr., the RSI oscillates between 0 and 100, with values above 70 generally signaling an overbought condition and values below 30 indicating an oversold condition. Traders use these signals to identify potential trend reversals and time their entry and exit points more effectively.
Dual Channel System [Alpha Extract]A sophisticated trend-following and reversal detection system that constructs dynamic support and resistance channels using volatility-adjusted ATR calculations and EMA smoothing for optimal market structure analysis. Utilizing advanced dual-zone methodology with step-like boundary evolution, this indicator delivers institutional-grade channel analysis that adapts to varying volatility conditions while providing high-probability entry and exit signals through breakthrough and rejection detection with comprehensive visual mapping and alert integration.
🔶 Advanced Channel Construction
Implements dual-zone architecture using recent price extremes as foundation points, applying EMA smoothing to reduce noise and ATR multipliers for volatility-responsive channel widths. The system creates resistance channels from highest highs and support channels from lowest lows with asymmetric multiplier ratios for optimal market reaction zones.
// Core Channel Calculation Framework
ATR = ta.atr(14)
// Resistance Channel Construction
Resistance_Basis = ta.ema(ta.highest(high, lookback), lookback)
Resistance_Upper = Resistance_Basis + (ATR * resistance_mult)
Resistance_Lower = Resistance_Basis - (ATR * resistance_mult * 0.3)
// Support Channel Construction
Support_Basis = ta.ema(ta.lowest(low, lookback), lookback)
Support_Upper = Support_Basis + (ATR * support_mult * 0.4)
Support_Lower = Support_Basis - (ATR * support_mult)
// Smoothing Application
Smoothed_Resistance_Upper = ta.ema(Resistance_Upper, smooth_periods)
Smoothed_Support_Lower = ta.ema(Support_Lower, smooth_periods)
🔶 Volatility-Adaptive Zone Framework
Features dynamic ATR-based width adjustment that expands channels during high-volatility periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine breakouts. The asymmetric multiplier system optimizes zone boundaries for realistic market behavior patterns.
// Dynamic Volatility Adjustment
Channel_Width_Resistance = ATR * resistance_mult
Channel_Width_Support = ATR * support_mult
// Asymmetric Zone Optimization
Resistance_Zone = Resistance_Basis ± (ATR_Multiplied * )
Support_Zone = Support_Basis ± (ATR_Multiplied * )
🔶 Step-Like Boundary Evolution
Creates horizontal step boundaries that update on smoothed bound changes, providing visual history of evolving support and resistance levels with performance-optimized array management limited to 50 historical levels for clean chart presentation and efficient processing.
🔶 Comprehensive Signal Detection
Generates break and bounce signals through sophisticated crossover analysis, monitoring price interaction with smoothed channel boundaries for high-probability entry and exit identification. The system distinguishes between breakthrough continuation and rejection reversal patterns with precision timing.
🔶 Enhanced Visual Architecture
Provides translucent zone fills with gradient intensity scaling, step-like historical boundaries, and dynamic background highlighting that activates upon zone entry. The visual system uses institutional color coding with red resistance zones and green support zones for intuitive
market structure interpretation.
🔶 Intelligent Zone Management
Implements automatic zone relevance filtering, displaying channels only when price proximity warrants analysis attention. The system maintains optimal performance through smart array management and historical level tracking with configurable lookback periods for various market conditions.
🔶 Multi-Dimensional Analysis Framework
Combines trend continuation analysis through breakthrough patterns with reversal detection via rejection signals, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with volatility-normalized accuracy.
🔶 Advanced Alert Integration
Features comprehensive notification system covering breakouts, breakdowns, rejections, and bounces with customizable alert conditions. The system enables precise position management through real-time notifications of critical channel interaction events and zone boundary violations.
🔶 Performance Optimization
Utilizes efficient EMA smoothing algorithms with configurable periods for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic historical level cleanup and performance-optimized visual rendering for smooth operation across all timeframes.
Why Choose Dual Channel System ?
This indicator delivers sophisticated channel-based market analysis through volatility-adaptive ATR calculations and intelligent zone construction methodology. By combining dynamic support and resistance detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade channel analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying volatility conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to breakout trading, zone reversals, and trend continuation analysis with clearly defined risk parameters and comprehensive alert integration. Also to note, this indicator is best suited for the 1D timeframe.
Auto Pivot Entry SL TPDescription:
The Auto Pivot Entry SL TP indicator automatically detects Pivot Highs and Pivot Lows to generate precise BUY and SELL trade setups.
When a Pivot Low forms, a BUY setup is displayed with Entry, Stop Loss, and multiple Take Profit (TP1–TP3) levels.
When a Pivot High forms, a SELL setup is displayed with Entry, Stop Loss, and multiple Take Profit (TP1–TP3) levels.
Key Features:
Automatic detection of pivots for trade entries.
Clear visualization of Entry, SL, and TP levels directly on the chart.
Flexible Risk-Reward ratio settings for customizable targets.
Works on all symbols and timeframes.
This tool is designed for traders who want a simple yet effective method to plan trades using price action pivot points combined with predefined risk management (SL & TP levels).
Pivot + Stochastic Filter Signals (Balanced)Pivot + Stochastic Filter Signals (Balanced)
This indicator combines Pivot Highs/Lows with the Stochastic Oscillator to generate accurate BUY and SELL signals.
A BUY signal appears when a Pivot Low forms and the Stochastic %K crosses above %D (optionally filtered by oversold conditions).
A SELL signal appears when a Pivot High forms and the Stochastic %K crosses below %D (optionally filtered by overbought conditions).
Key Features:
Clear BUY (green) and SELL (red) signals plotted directly on the chart.
Optional filter: only trigger signals in overbought/oversold zones.
Labels display pivot value with the corresponding signal.
Stochastic oscillator plotted for confirmation.
This tool is useful for traders who want to combine price action (pivots) with momentum confirmation (Stochastic crossovers) for higher accuracy in trend reversals and entry timing.
Modern Trend Indicator_GirishThis Indicator is a Powerful Buy and Sell Indicator to catch the Trend in all time frame.
Liquidity Swing Points [BackQuant]Liquidity Swing Points
This tool marks recent swing highs and swing lows and turns them into persistent horizontal “liquidity” levels. These are places where resting orders often accumulate, such as stop losses above prior highs and below prior lows. The script detects confirmed pivots, records their prices, draws lines and labels, and manages their lifecycle on the chart so you can monitor potential sweep or breakout zones without manual redrawing.
What it plots
LQ-H at confirmed swing highs
LQ-L at confirmed swing lows
Horizontal levels that can optionally extend into the future
Timed removal of old levels to keep the chart clean
Each level stores its price, the bar where it was created, its type (high or low), plus a label and a line reference for efficient updates.
How it works
Pivot detection
A swing high is confirmed when the highest high has swing_length bars on both sides that are lower.
A swing low is confirmed when the lowest low has swing_length bars on both sides that are higher.
Pivots are only marked after they are confirmed, so they do not repaint.
Level creation
When a pivot confirms, the script records the price and the creation bar (offset by the right lookback).
A new line is plotted at that price, labeled LQ-H or LQ-L.
Rendering and extension
Levels can be drawn to the most recent bar only or extended to the right for forward reference.
Label size and line color/transparency are configurable.
Lifecycle management
On each confirmed bar, the script checks level age.
Levels older than a chosen bar count are removed automatically to reduce clutter.
How it can be used
Liquidity sweeps: Watch for price to probe beyond a level then close back inside. That behavior often signals a potential fade back into the prior range.
Breakout validation: If price pushes through a level and holds on closes, traders may treat that as continuation. Retests of the level from the other side can serve as structure checks.
Context for entries and exits: Use nearby LQ-H or LQ-L as reference for stop placement or partial-take zones, especially when other tools agree.
Multi-timeframe mapping: Plot swing points on higher timeframes, then drill down to time entries on lower timeframes as price interacts with those levels.
Why liquidity levels matter
Prior swing points are focal areas where many strategies set stops or pending orders. Price often revisits these zones, either to “sweep” resting liquidity before reversing, or to absorb it and trend. Marking these areas objectively helps frame scenarios like failed breaks, successful breakouts, and retests, and it reduces the subjectivity of eyeballing structure.
Settings to know
Swing Detection Length (swing_length), Controls sensitivity. Lower values find more local swings. Higher values find more significant ones.
Bars until removal (removeafter), Deletes levels after a fixed number of bars to prevent buildup.
Extend Levels Right (extend_levels), Keeps levels projected into the future for easier planning.
Label Size (label_size), Choose tiny to large for chart readability.
One color input controls both high and low levels with transparency for context.
Strengths
Objective marking of recent structure without hand drawing
No repaint after confirmation since pivots are locked once the right lookback completes
Lightweight and fast with simple lifecycle management
Clear visuals that integrate well with any price-action workflow
Practical tips
For scalping: use smaller swing_length to capture more granular liquidity. Keep removeafter short to avoid clutter.
For swing trading: increase swing_length so only more meaningful levels remain. Consider extending levels to the right for planning.
Combine with time-of-day filters, ATR for stop sizing, or a separate trend filter to bias trades taken at the levels.
Keep screenshots focused: one image showing a sweep and reversal, another showing a clean breakout and retest.
Limitations and notes
Levels appear after confirmation, so they are delayed by swing_length bars. This is by design to avoid repainting.
On very noisy or illiquid symbols, you may see many nearby levels. Increasing swing_length and shortening removeafter helps.
The script does not assess volume or session context. Consider pairing with volume or session tools if that is part of your process.
Vietnamese: Swing Low Detection with SMA Bands & BackgroundThis script detects **swing lows** using a dynamic SMA-based logic and visually highlights them on the chart.
Features
Customizable Moving Averages: Supports multiple MA types (SMA, EMA, WMA, RMA, HMA, DEMA, TEMA, VWMA).
Swing Low Visualization: Identifies swing lows when price closes below the SMA of lows and exits once price trades above the SMA of highs.
Smart Rectangles: Marks detected swing lows with labeled boxes for clear visual reference.
Background Highlights**: Dynamically shades the chart background when price breaks below recent swing lows, helping traders spot potential breakdown zones.
Configurable Parameters: Period length, rectangle length, and MA source can all be tuned.
Use Cases
Spot breakdown/bearish continuation signals when price closes under recent lows.
Combine with higher timeframe trend analysis for confluence.
Notes
* This tool is designed for **visual analysis** and is not a standalone buy/sell signal.
* Works best when combined with broader trend analysis, support/resistance levels, and volume.
Pivot Zone Reversal SignalsThe Pivot Zone Reversal Signals indicator is a technical analysis tool designed to highlight high-potential market turning points by combining pivot detection, RSI momentum filtering, and volume surge confirmation. It automatically identifies and marks significant swing highs and lows (pivots) on the chart, then issues "REV BUY" or "REV SELL" labels whenever price reverses from these levels—only when supported by overbought/oversold RSI and an above-average volume spike. This multi-layered approach sharply increases the reliability of reversal signals, helping traders spot key entries and exits right as momentum shifts and liquidity surges. The PZRS indicator is ideal for catching bounces, market tops/bottoms, and filtering out weak reversals for confident, actionable trade decisions.
Сигналы_magistraturaNew Custom Indicator "Signals_magistratura" — How to Get Entry Signals (Long & Short)
🔹 Big news for traders — a new tool has arrived
— Our team has developed a custom indicator that highlights potential entry points.
— It doesn’t guess. It reads market structure and shows real reversal and continuation zones.
🔍 How does the indicator work?
🔹 Trend-aligned signals — enter at the start of an impulse
📌 These signals help you enter early, at the beginning of a move — not after the train has left.
🔹 Breakout signals — two key scenarios
1. False break & reversal (Liquidity grab)
— Price breaks a key level, sweeps stops, then reverses,
— Followed by a strong bounce.
→ Perfect setup for a reversal trade.
2. True breakout — trend continuation
— If price closes and holds beyond a key level,
→ You can enter in the direction of the breakout.
— Signal is strongest when confirmed by high volume.
🔹 Works on stocks — not just crypto
— Example: Signal triggered on touching the upper boundary of the daily SMA channel,
— This indicates an anomalous deviation,
→ Often followed by a pullback toward the moving average.
📌 These levels act as reversal zones, especially when confirmed by volume.
🧩 How to strengthen the signals?
🔹 Combine with "SMA Channels Magistratura"
— Highlights gaps between SMA channels,
— These zones = market extremes, where price is "overheated",
→ High probability of correction or new impulse after.
🔹 Use divergence
— Built-in enhanced RSI analysis (not classic RSI),
— Helps spot trend weakening before reversal.
✅ How to use the indicator?
— Not as a magic button,
— But as a filter and confirmation tool for your strategy.
Works for:
→ Cryptocurrencies,
→ Russian stocks,
→ Forex,
→ Intraday & swing trading.
📌 Especially useful if:
You’re tired of paid signals,
Haven’t built your own strategy yet,
Want to trade systematically, not randomly.
🚀 Your move
Pause the video, add the indicator to your chart, test it on your favorite assets.
Then comment below: how did the signal perform?
→ Let’s discuss!
💡 This indicator is not a trading signal.
It’s a tool for those who want to see deeper, enter earlier, and trade with precision.
Add it. Test it. Improve your trading by 70%.
Good luck!
Dips & Rips — OVERLAY (Triangles on Price Only, size fixed)This script calculates extreme dips (blue triangle) or rips (yellow triangle) as likely reversal points, with confirmation long (green triangles) and short (red triangles) triggers occurring on subsequent RSI divergences.
Autoback Grid Lab [trade_lexx]Autoback Grid Lab: Your personal laboratory for optimizing grid strategies.
Introduction
First of all, it is important to understand that Autoback Grid Lab is a powerful professional tool for backtesting and optimization, created specifically for traders using both grid strategies and regular take profit with stop loss.
The main purpose of this script is to save you weeks and months of manual testing and parameter selection. Instead of manually testing one combination of settings after another, Autoback Grid Lab automatically tests thousands of unique strategies on historical data, providing you with a comprehensive report on the most profitable and, more importantly, sustainable ones.
If you want to find mathematically sound, most effective settings for your grid strategy on a specific asset and timeframe, then this tool was created for you.
Key Features
My tool has functionality that transforms the process of finding the perfect strategy from a routine into an exciting exploration.
🧪 Mass testing of thousands of combinations
The script is able to systematically generate and run a huge number of unique combinations of parameters through the built-in simulator. You set the ranges, and the indicator does all the work, testing all possible options for the following grid settings:
* Number of safety orders (SO Count)
* Grid step (SO Step)
* Step Multiplier (SO Multiplier) for building nonlinear grids
* Martingale for controlling the volume of subsequent orders
* Take Profit (%)
* Stop Loss (%), with the possibility of calculating both from the entry point and from the dynamic breakeven line
* The volume of the base order (Volume BO) as a percentage of the deposit
🏆 Unique `FinalScore` rating system
Sorting strategies by net profit alone is a direct path to self—deception and choosing strategies that are "tailored" to history and will inevitably fail in real trading. To solve this problem, we have developed FinalScore, a comprehensive assessment of the sustainability and quality of the strategy.
How does it work?
FinalScore analyzes each combination not one by one, but by nine key performance metrics at once, including Net Profit, Drawdown, Profit Factor, WinRate, Sharpe coefficients, Sortino, Squid and Omega. Each of these indicators is normalized, that is, reduced to a single scale. Then, to test the strategy for strength, the system performs 30 iterations, each time assigning random weights to these 9 metrics. A strategy gets a high FinalScore only if it shows consistently high results under different evaluation criteria. This proves her reliability and reduces the likelihood that her success was an accident.
📈 Realistic backtesting engine
The test results are meaningless if they do not take into account the actual trading conditions. Our simulator simulates real trading as accurately as possible, taking into account:
* Leverage: Calculation of the required margin to open and hold positions.
* Commission: A percentage commission is charged each time an order is opened and closed.
* Slippage: The order execution price is adjusted by a set percentage to simulate real market conditions.
* Liquidation model: This is one of the most important functions. The script continuously monitors the equity of the account (capital + unrealized P&L). If equity falls below the level of the supporting margin (calculated from the current value of the position), the simulator forcibly closes the position, as it would happen on a real exchange. This eliminates unrealistic scenarios where the strategy survives after a huge drawdown.
🔌 Integration with external signals
The indicator operates in two modes:
1. `No Signal': Standard mode. The trading cycle starts immediately as soon as the previous one has been closed. Ideal for testing the "pure" mechanics of the grid.
2. `External Signal`: In this mode, a new trading cycle will start only when a signal is received from an external source. You can connect any other indicator (such as the RSI, MACD, or your own strategy) to the script and use it as a trigger to log in. This allows you to combine the power of a grid strategy with your own entry points.
📊 Interactive and informative results panel
Upon completion of the calculations, a detailed table with the TOP N best strategies appears on the screen, sorted according to your chosen criterion. For each strategy in the rating, you will see not only the key metrics (Profit, Drawdown, duration of transactions), but also all the parameters that led to this result. You can immediately take these settings and apply them in your trading.
Application Options: How To Solve Your Problems
Autoback Grid Lab is a flexible tool that can be adapted to solve various tasks, from complete grid optimization to fine—tuning existing strategies. Here are some key scenarios for its use:
1. Complete Optimization Of The Grid Strategy
This is the basic and most powerful mode of use. You can find the most efficient grid configuration for any asset from scratch.
* How to use: Set wide ranges for all key grid parameters ('SO Count`, SO Step, SO Multiplier, Martingale, TP, etc.).
* In the `No Signal` mode: You will find the most stable grid configuration that works as an independent, constantly active strategy, regardless of which-or entrance indicators.
* In the `External Signal` mode: You can connect your favorite indicator for input (for example, RSI, MACD or a complex author's script) and find the optimal grid parameters that best complement your input signals. This allows you to turn a simple signaling strategy into a full-fledged grid system.
2. Selecting the Optimal Take Profit and Stop Loss for Your Strategy
Do you already have an entry strategy, but you are not sure where it is best to put Take Profit and Stop Loss? Autoback Grid Lab can solve this problem as well.
* How to use:
1. Disable optimization of all grid parameters (uncheck SO Count, SO Step, Martingale, etc.). Set the Min value for SO Count to 0.
2. Set the ranges for iteration only for 'Take Profit` and `Stop Loss'.
3. Turn on the External Signal mode and connect your indicator with input signals.
* Result: The script will run your historical entry signals with hundreds of different TP and SL combinations and show you which stop order levels bring maximum profit with minimal risk specifically for your entry points.
3. Building a Secure Network with Risk Management
Many traders are afraid of grid strategies because of the risk of large drawdowns. With the help of the optimizer, you can purposefully find the parameters for such a grid, which includes mandatory risk management through Stop Loss.
* How to use: Enable and set the range for Stop Loss, along with other grid parameters. Don't forget to test both types of SL calculations (`From entry point` and `From breakeven line`) to determine which one works more efficiently.
* Result: You will find balanced strategies in which the grid parameters (number of orders, martingale) and the Stop Loss level are selected in such a way as to maximize profits without going beyond the acceptable risk level for you.
How To Use The Indicator (Step-By-Step Guide)
Working with the Autoback Grid Lab is a sequential process consisting of four main steps: from initial setup to analysis of the finished results. Follow this guide to get the most out of the tool.
Step 1: Initial Setup
1. Add the indicator to the chart of your chosen asset and timeframe.
2. Open the script settings. The first thing you should pay attention to is the ⚙️ Optimization Settings ⚙️ group.
3. Set the `Bars Count'. This parameter determines how much historical data will be used for testing.
* Important: The more bars you specify, the more statistically reliable the backtest results will be. We recommend using the maximum available value (25,000) to test strategies at different market phases.
* Consider: The indicator performs all calculations on the last historical bar. After applying the TradingView settings, it will take some time to load all the specified bars. The results table will appear only after the data is fully loaded. Don't worry if it doesn't appear instantly. And if an error occurs, simply switch the number of combinations to 990 and back to 1000 until the table appears.
Step 2: Optimization Configuration
At this stage, you define the "universe" of parameters that our algorithm will explore.
1. Set the search ranges (🛠 Optimization Parameters 🛠 group).
For each grid parameter that you want to optimize (for example, SO Count or `Take Profit'), you must specify three values:
* Min: The minimum value of the range.
* Max: The maximum value of the range.
* Step: The step with which the values from Min to Max will be traversed.
*Example:* If you set Min=5, Max=10, and Step=1 for SO Count, the script will test strategies with 5, 6, 7, 8, 9, and 10 safety orders.
* Tip for users: To get the first results quickly, start with a larger step (for example, TP from 0.5% to 2.5% in 0.5 increments instead of 0.1). After you identify the most promising areas, you can perform a deeper analysis by expanding the ranges around these values.
2. Set Up Money Management (Group `💰 Money Management Settings 💰`).
Fill in these fields with the values that best match your actual trading conditions. This is critically important for obtaining reliable results.
* Capital: Your initial deposit.
* Leverage: Leverage.
* Commission (%): Your trading commission as a percentage.
* Slippage (%): Expected slippage.
* Liquidation Level (%): The level of the supporting margin (MMR in %). For example, for Binance Futures, this value is usually between 0.4% and 2.5%, depending on the asset and position size. Specify this value for your exchange.
3. Select the Sorting Criterion and the Direction (Group `⚙️ Optimization Settings ⚙️').
* `Sort by': Specify the main criteria by which the best strategies will be selected and sorted. I strongly recommend using finalScore to find the most balanced and sustainable strategies.
* `Direction': Choose which trades to test: Long, Short or Both.
Step 3: Start Testing and Work with "Parts"
The total number of unique combinations generated based on your ranges can reach tens of millions. TradingView has technical limitations on the number of calculations that the script can perform at a time. To get around this, I implemented a "Parts" system.
1. What are `Part` and `Combinations in Part'?
* `Combinations in Part': This is the number of backtests that the script performs in one run (1000 by default).
* `Part`: This is the number of the "portion" of combinations that you want to test.
2. How does it work in practice?
* After you have everything set up, leave Part:1 and wait for the results table to appear. You will see the TOP N best strategies from the first thousand tested.
* Analyze them. Then, to check the next thousand combinations, just change the Part to 2 in the settings and click OK. The script will run a test for the next batch.
* Repeat this process by increasing the Part number (`3`, 4, 5...), until you reach the last available part.
* Where can I see the total number of parts? In the information row below the results table, you will find Total parts. This will help you figure out how many more tests are left to run.
Step 4: Analyze the Results in the Table
The results table is your main decision—making tool. It displays the best strategies found, sorted by the criteria you have chosen.
1. Study the performance metrics:
* Rating: Position in the rating.
* Profit %: Net profit as a percentage of the initial capital.
* Drawdown%: The maximum drawdown of the deposit for the entire test period.
* Max Length: The maximum duration of one transaction in days, hours and minutes.
* Trades: The total number of completed trades.
2. Examine the winning parameters:
* To the right of the performance metrics are columns showing the exact settings that led to this result ('SO Count`, SO Step, TP (%), etc.).
3. How to choose the best strategy?
* Don't chase after the maximum profit! The strategy with the highest profit often has the highest drawdown, which makes it extremely risky.
* Seek a balance. The ideal strategy is a compromise between high profitability, low drawdown (Drawdown) and the maximum length of trades acceptable to you (Max Length).
* finalScore was created to find this balance. Trust him — he often highlights not the most profitable, but the most stable and reliable options.
Detailed Description Of The Settings
This section serves as a complete reference for each parameter available in the script settings. The parameters are grouped in the same way as in the indicator interface for your convenience.
Group: ⚙️ Optimization Settings ⚙️
The main parameters governing the testing process are collected here.
* `Enable Optimizer': The main switch. Activates or deactivates all backtesting functionality.
* `Direction': Determines which way trades will be opened during the simulation.
* Long: Shopping only.
* Short: Sales only.
* Both: Testing in both directions. Important: This mode only works in conjunction with an External Signal, as the script needs an external signal to determine the direction for each specific transaction.
* `Signal Mode`: Controls the conditions for starting a new trading cycle (opening a base order).
* No Signal: A new cycle starts immediately after the previous one is completed. This mode is used to test "pure" grid mechanics without reference to market conditions.
* External Signal: A new cycle begins only when a signal is received from an external indicator connected via the Signal field.
* `Signal': A field for connecting an external signal source (works only in the `External Signal` mode). You can select any other indicator on the chart.
* For Long** trades, the signal is considered received if the value of the external indicator ** is greater than 0.
* For Short** trades, the signal is considered received if the value of the external indicator ** is less than 0.
* `Bars Count': Sets the depth of the history in the bars for the backtest. The maximum value (25000) provides the most reliable results.
* `Sort by`: A key criterion for selecting and ranking the best strategies in the final table.
* FinalScore: Recommended mode. A comprehensive assessment that takes into account 9 metrics to find the most balanced and sustainable strategies.
* Profit: Sort by net profit.
* Drawdown: Sort by minimum drawdown.
* Max Length: Sort by the minimum length of the longest transaction.
* `Combinations Count': Indicates how many of the best strategies (from 1 to 50) will be displayed in the results table.
* `Close last trade`: If this option is enabled, any active trade will be forcibly closed at the closing price of the last historical bar. For grid strategies, it is recommended to always enable this option in order to get the correct calculation of the final profit and eliminate grid strategies that have been stuck for a long time.
Group: 💰 Money Management Settings 💰
The parameters in this group determine the financial conditions of the simulation. Specify values that are as close as possible to your actual values in order to get reliable results.
* `Capital': The initial deposit amount for the simulation.
* `Leverage`: The leverage used to calculate the margin.
* `Slippage` (%): Simulates the difference between the expected and actual order execution price. The specified percentage will be applied to each transaction.
* `Commission` (%): The trading commission of your exchange as a percentage. It is charged at the execution of each order (both at opening and closing).
* `Liquidation Level' (%): Maintenance Margin Ratio. This is a critical parameter for a realistic test. Liquidation in the simulator occurs if the Equity of the account (Capital + Unrealized P&L) falls below the level of the supporting margin.
Group: 🛠 Optimization Parameters 🛠
This is the "heart" of the optimizer, where you set ranges for iterating through the grid parameters.
* `Part`: The portion number of the combinations to be tested. Start with 1, and then increment (`2`, 3, ...) sequentially to check all generated strategies.
* `Combinations in Part': The number of backtests performed at a time (in one "Part"). Increasing the value may speed up the process, but it may cause the script to error due to platform limitations. If an error occurs, it is recommended to switch to the step below and back.
Three fields are available for each of the following parameters (`SO Count`, SO Step, SO Multiplier, etc.):
* `Min`: Minimum value for testing.
* `Max': The maximum value for testing.
* `Step`: The step with which the values in the range from Min to Max will be iterated over.
There is also a checkbox for each parameter. If it is enabled, the parameter will be optimized in the specified range. If disabled, only one value specified in the Min field will be used for all tests.
* 'Stop Loss': In addition to the standard settings Min, Max, Step, it has an additional parameter:
* `Type`: Defines how the stop loss price is calculated.
* From entry point: The SL level is calculated once from the entry price (base order price).
* From breakeven line: The SL level is dynamically recalculated from the average position price after each new safety order is executed.
Group: ⚡️Filters⚡️
Filters allow you to filter out those results from the final table that do not meet your minimum requirements.
For each filter (`Max Profit`, Min Drawdown, `Min Trade Length`), you can:
1. Turn it on or off using the checkbox.
2. Select the comparison condition: Greater (More) or Less (Less).
3. Set a threshold value.
*Example:* If you set Less and 20 for the Min Drawdown filter, only those strategies with a maximum drawdown of less than 20% will be included in the final table.
Group: 🎨 Visual Settings 🎨
Here you can customize the appearance of the results table.
* `Position': Selects the position of the table on the screen (for example, Bottom Left — bottom left).
* `Font Size': The size of the text in the table.
* `Header Background / Data Background`: Background colors for the header and data cells.
* `Header Font Color / Data Font Color`: Text colors for the header and data cells.
Important Notes and Limitations
So that you can use the Autoback Grid Lab as efficiently and consciously as possible, please familiarize yourself with the following key features of its work.
1. It is a Tool for Analysis, not for Signals
It is extremely important to understand that this script does not generate trading signals in real time. Its sole purpose is to conduct in—depth research (**backtesting**) on historical data.
* The results you see in the table are a report on how a particular strategy would have worked in the past.
* The script does not provide alerts and does not draw entry/exit points on the chart for the current market situation.
* Your task is to take the best sets of parameters found during optimization and use them in your real trading, for example, when setting up a trading bot or in a manual trading system.
2. Features Of Calculations (This is not a "Repainting")
You will notice that the results table appears and is updated only once — when all historical bars on the chart are loaded. It does not change in real time with each tick of the price.
This is correct and intentional behavior.:
* To test thousands, and sometimes millions of combinations, the script needs to perform a huge amount of calculations. In the Pine Script™ environment, it is technically possible to do this only once, at the very last bar in history.
* The script does not show false historical signals, which then disappear or change. It provides a static report on the results of the simulation, which remains unchanged for a specific historical period.
3. Past Results do not Guarantee Future Results.
This is the golden rule of trading, and it fully applies to the results of backtesting. Successful strategy performance in the past is not a guarantee that it will be as profitable in the future. Market conditions, volatility and trends are constantly changing.
My tool, especially when sorting by finalScore, is aimed at finding statistically stable and reliable strategies to increase the likelihood of their success in the future. However, it is a tool for managing probabilities, not a crystal ball for predicting the future. Always use proper risk management.
4. Dependence on the Quality and Depth of the Story
The reliability of the results directly depends on the quantity and quality of the historical data on which the test was conducted.
* Always strive to use the maximum number of bars available (`Bars Count: 25,000`) so that your strategy is tested on different market cycles (rise, fall, flat).
* The results obtained on data for one month may differ dramatically from the results obtained on data for two years. The longer the testing period, the higher the confidence in the parameters found.
Conclusion
The Autoback Grid Lab is your personal research laboratory, designed to replace intuitive guesses and endless manual selection of settings with a systematic, data—driven approach. Experiment with different assets, timeframes, and settings ranges to find the unique combinations that best suit your trading style.
Session Highs & Lows — Customizable + HTF Wick Liquidity (H1/H4)Yesterdays ASIAN LONDON AND NEWYORK highs and Lows
Todays ASIAN LONDON AND NEWYORK highs and lows
1 HOUR AND 4 HOUR LIQ POINTS
