eBacktesting Learning: HTF CandleseBacktesting - Learning: HTF Candles brings higher-timeframe candles directly onto your current chart, so you can keep your bigger-picture context while executing on the lower timeframe.
Pick up to 4 timeframes (for example 15m / 30m / 1H / 4H) and the indicator will draw their candles neatly to the right of price. For each one you can choose to show the Current HTF candle (still forming) or the previously closed HTF candle, so you can train both “live context” and “closed-candle confirmation” workflows.
You can also enable an optional flip alert per timeframe. A “flip” happens when that HTF candle changes from bullish to bearish (or the other way around). This is great for spotting shifts in bias without staring at multiple charts.
These indicators are built to pair perfectly with the eBacktesting extension, where traders can practice these concepts step-by-step. Backtesting concepts visually like this is one of the fastest ways to learn, build confidence, and improve trading performance.
Educational use only. Not financial advice.
"backtesting"に関するスクリプトを検索
Profit Punch: Risk & Target Planner (ATR + Fixed R)Profit Punch: Risk & Target Planner (ATR + Fixed R)
This indicator is a complete trade planning tool designed to visualize your Risk (R) and Reward levels instantly. Whether you use a volatility-based strategy (ATR) or precise manual levels, this tool draws your roadmap directly on the chart.
It solves the problem of calculating "R-Multiples" manually and ensures every trade plan is consistent.
Key Features
1. Smart Risk Calculation
Auto Mode (ATR): Uses the stock's daily volatility (ATR) to automatically suggest a logical Stop Loss.
Manual Mode: Lets you type in your exact Stop Loss price (e.g., below a recent low), and the tool automatically adjusts your Profit Targets to match that specific risk.
2. Hybrid Targeting (The "Nuance")
You can set a tight manual stop but keep your profit targets based on daily volatility (ATR). This allows for "Hybrid" setups where you risk a small amount (tight stop) but aim for a standard volatility move (ATR targets).
3. Backtesting Friendly
Use the "Target Date" feature to apply the tool to any past candle. It will calculate the targets based on what the volatility was on that specific day , allowing you to accurately review past trades.
4. Clean & Customizable
Editable Labels: Rename "1R" to "Goal 1" or "Take Profit".
Clean Look: Toggle any line on/off to keep your chart simple.
Timeframe Independent: Calculations are always anchored to Daily data for consistency, even if you are viewing a 5-minute chart.
How to Use
Step 1: Add to Chart. The lines will appear on the latest bar by default.
Step 2: Set Entry. In Settings, check "Use Manual Entry" to type your exact buy price, or leave unchecked to use the closing price.
Step 3: Set Stop. Choose "Auto (ATR)" for a volatility-based stop, or "Manual Price" to type in your specific stop level.
Step 4: Visualize. The tool draws your 1R, 3R, 5R, and 7R targets instantly.
Settings Guide
Risk Factor: Multiplier for the ATR calculation (Default is 1.5).
Target Base: Choose whether profit targets are multiples of your Stop Distance (Classic) or Fixed ATR (Volatility).
Custom Labels: Change the text displayed on the chart (e.g., "Safe Exit" instead of "1R").
Who is this for?
This tool is built for swing traders, educators, and anyone who uses "R-Multiples" (Risk Units) to manage their portfolio. It is especially useful for creating consistent trade plan screenshots.
Mean Reversion [SIMI]This mean reversion indicator identifies extreme price deviations from the mean, providing high-probability reversal signals. Designed for confluence-based trading, it works best when combined with complementary indicators such as VWAP, price action, and volume analysis.
📊 Core Features
Signal Types
Prime Signals (Bright Green/Red Dots): Extreme reversions usually beyond ±1.5 SD - highest probability setups (you can customise this zone!)
Regular Signals (Dark Green/Red Dots): Standard reversions - moderate probability
Leader Line (Pink Dotted): Early warning indicator for potential reversals
Histogram Weakness: Momentum divergence signals
Normalisation Methods:
Institutional Hybrid (Z-ATR) (Recommended): Volatility-adjusted Z-score - adapts to changing market conditions
Percentile Ranking: Statistical ranking - excellent for ranging markets
PPO + ATR Hybrid: Percentage-based with volatility adjustment
Efficiency Ratio: Trend-strength weighted
ATR: Pure volatility-based
None: Raw Z-score
⚙️ Quick Setup Guide
1. Institutional Presets
Pre-configured parameter sets optimised for different timeframes:
5M Day Trading (5/21/5): Intraday scalping
1H Options Trading (6/24/5): Options-focused setups
1D Monthly Cycle (5/20/5): Swing trading
2. Signal Filtering
Prime Thresholds: Adjust ±1.5 SD to control signal quality (tighter = fewer, higher quality, adjust this zone per asset traded)
Dot Filters: Fine-tune entry zones (-0.03/+0.03 default - this ignores noisy signals near Zero line)
Volume Filter: Enable to require volume confirmation (1.4x average recommended, but fine tune yourself)
3. Advanced Filters
Dynamic SD Thresholds: Auto-adjusts for volatility regimes (tighter in low vol, wider in high vol)
Time of Day Filter: Avoids first 30 minutes, last 15 minutes, and lunch hour (11:30-13:00 EST)
💡 Trading Strategy Recommendations
Optimal Usage
This indicator is not intended as a standalone system. Use it for confluence alongside:
VWAP (institutional positioning)
Price action (support/resistance)
Options flow (institutional direction)
Volume analysis (conviction confirmation)
Signal Interpretation
Prime Signals: Wait for these for highest-probability entries - mean reversion may take hours to days
Manual Entries: Don't wait for dots - trade the ±2 SD zones directly using your own confirmation
Options Strategy: Prime sell signals at +2 SD make excellent short call setups; prime buy signals at -2 SD for long calls
Timeframe Guidance
Lower Timeframes (1M-5M): Higher noise - require additional confluence
Higher Timeframes (1H-1D): More reliable signals - suitable for options and swing trades
Best Results: Multi-timeframe analysis (check 1H and 4H alignment on 5M entries)
🔔 Alert System
Master Alert
Enable customisable alerts via the Master Alert System:
Toggle individual signal types (Prime Buy/Sell, SD Crosses, Leader, Histogram)
Receives bespoke messages with ticker, timeframe, and price
One alert condition handles all selected signals
Individual Alerts
Separate alert conditions available for Prime and Regular signals if preferred.
📈 Backtesting Notes
Important: Backtest results are date-sensitive and should not be the primary focus. Instead:
Dial in settings visually on your chosen asset
Aim for signals near actual tops and bottoms
Test different normalisation methods for your specific instrument
Optimise for signal quality, not backtest ROI
Asset Testing: Primarily developed using SPY, QQQ, and IWM as main assets to trade. Other instruments may require parameter adjustment - mess around!
Backtest Engine
Entry/Exit modes (All Signals, Prime Only, Early Signals)
Position sizing (percentage-based)
Slippage and fill method (candle close recommended)
Date range selection
⚠️ Best Practices
Always use confluence - never trade on MR signals alone
Start with Institutional Hybrid normalisation - most adaptive to market conditions
Focus on Prime signals for quality over quantity
Test on your specific asset - optimal settings vary by instrument
Longer timeframes = higher reliability - 1H+ for best results
Enable Time Filter on intraday charts to avoid volatile periods
Use Dynamic SD in highly volatile markets (earnings, FOMC, etc.)
🛠️ Troubleshooting
Too many signals: Increase Prime Thresholds or enable Volume Filter
Too few signals: Decrease Prime Thresholds or reduce Dot Filters
False signals: Enable Time of Day Filter and Dynamic SD
Signals don't align with tops/bottoms: Try different normalisation method
📝 Feedback & Development
Bug Reports: Please report any issues via TradingView comments or direct message.
Strategy Sharing: I'd love to hear how you're using this indicator and what strategies you've developed.
Open Source: Feel free to fork and modify this indicator. If you create an improved version, please share it with the community!
🙏 Acknowledgements
Developed through AI-assisted collaboration.
Special thanks to Lazy Bear for his open source MACD histogram (volume based).
Open source forever - use freely, modify, and share.
Happy Trading!
Remember: Past performance does not guarantee future results. Always manage risk appropriately.
Pandas rock \m/
Consecutive Lower Highs/Higher LowsThis indicator is a minimalist price-action tool designed to visualize Pullback depth and Trend Ignition directly on the chart. It eliminates the need to manually count candles, helping traders instantly identify "Green 2" pullback setups and "Red 1" trend continuations.
This tool is specifically designed to synchronize with MarketInOut or Finviz scanners that look for Lower Highs (Pullbacks) and Higher Lows (Trend).
How It Works
The indicator prints a simple count above or below the candles to visualize the current market structure:
1. The "Trap" / Pullback Count (Green Numbers)
Logic: Counts consecutive bars with Lower Highs.
Location: Appears above the candle.
Usage: Used to identify low-risk entry points in an existing uptrend. When you see a Green "2" or "3", it confirms the stock is in a controlled pullback (a "Quiet Trap") and may be ready for an entry if it breaks the previous high.
Default Setting: Starts counting at 2 (The classic "Green 2" setup).
2. The "Ignition" / Trend Count (Red Numbers)
Logic: Counts consecutive bars with Higher Lows.
Location: Appears below the candle.
Usage: Used to visualize trend strength. A Red "1" indicates the stock has made a higher low and is potentially resuming its uptrend ("Ignition"). It can also be used to manage trailing stops by exiting if the streak is broken.
Default Setting: Starts counting at 1.
Key Features
Zero Clutter: No moving averages, lines, or background shapes. Only the raw data you need to make a decision.
Dynamic Labels: Labels automatically adjust their distance from the candle based on volatility (ATR), ensuring they never overlap with the price action.
Scanner Sync: The input settings allow you to match the "Minimum Count" exactly to your screener settings (e.g., set Pullback minimum to 2 to match a lower_highs 2 scan).
Max History: Hard-coded to display the maximum allowable history (500 bars) for effective backtesting of your eye.
Settings
Minimum lower highs (Trap): Sets the threshold for showing Green numbers. (Default: 2)
Minimum higher lows (Ignition): Sets the threshold for showing Red numbers. (Default: 1)
Show Numbers: Toggles the visibility of the text labels.
Strategy Application
This script is ideal for Momentum Trap and Breakout traders (e.g., Minervini, Qullamaggie styles) who need to quickly verify if a stock meets the "2-day pullback" or "Trend Resume" criteria without manually checking High/Low values.
GRA/Rei BRIA Simple [ReiConcept]BRIA SIMPLE - 22 Indicators Buy/Sell Signals
Get clear BUY and SELL signals based on the consensus of 22 technical indicators!
WHAT DOES IT DO?
BRIA Simple analyzes 22 indicators simultaneously and generates signals when a strong majority agrees on the direction.
22 INDICATORS IN 4 CATEGORIES:
MOVING AVERAGES (9): SMA, EMA (Short/Medium/Long), DEMA, TEMA, VIDYA
MOMENTUM (5): ROC, Momentum, TRIX, Price Oscillator, KST
OSCILLATORS (4): RSI, Stochastic, SMI, MACD
TREND (4): Parabolic SAR, DMI/ADX, Aroon, Elder Ray
HOW IT WORKS?
- BUY signal when 75%+ indicators are bullish
- SELL signal when 75%+ indicators are bearish
- Adjustable threshold (50-95%)
- Anti-repainting: signals confirmed at candle close only
FEATURES
- Clean BUY/SELL labels on chart
- EMA fill showing trend direction (cyan = bull, pink = bear)
- Bar coloring based on dominant direction
- Score table showing current consensus
- Built-in alerts for signals
SETTINGS
- Score Threshold: minimum % of indicators required (default 75%)
- EMA Fast/Slow: for trend visualization
- Show/Hide table and EMA fill
ANTI-REPAINTING
All signals are confirmed at candle close only. No repainting, no false signals during live candles.
This is a FREE simplified version. For advanced features like trailing stop, TP/SL management, and backtesting, check out BRIA Multi-Score Premium.
More tools: reiconcept.fr
3 MA Smart Money System v6 (No Repaint)✅ INDICATOR SPECIFICATIONS
🎯 Moving Average Type
SMA – Simple Moving Average
EMA – Exponential Moving Average
HMA – Hull Moving Average
🔥 Complete Features
✔ 3 moving averages in 1 indicator
✔ SMA/EMA/HMA options
✔ Turn each moving average on/off
✔ Multi-Timeframe (MTF)
✔ Auto Color Trend
✔ MA labels on the chart
✔ Alerts for all moving average combinations
✔ Color fill between moving averages (trend zones)
✔ Automatic MA crossover strategy (Buy/Sell)
✔ Smart Money + Moving Average (major trend filter)
✔ Moving average as automatic support & resistance
✔ NO REPAINT (safe for backtesting & live use)
🧠 SYSTEM LOGIC
MA 3 = Smart Money MA (main trend)
BUY
MA1 crosses UP MA2
Price above MA3
SELL
MA1 MA2 crosses down
Price below MA3
The MA3 zone is considered dynamic support/resistance.
Created by Dr. Trade
Trade Manager + MOST RSI📌 Trade Manager + MOST RSI — Adaptive Position Management Strategy
Overview
This strategy combines the MOST‑RSI trend‑reversal model with a fully customizable position management system.
It is designed for traders who want a flexible, visual, and systematic approach to scaling into positions, managing risk, and automating exits.
The script supports both automatic entries (based on MOST‑RSI signals) and manual entries (user‑defined price levels), making it suitable for hybrid discretionary + algorithmic trading.
✨ Key Features
MOST‑RSI Entry Logic
Adaptive RSI‑based trend detection
VAR‑smoothed moving average
Automatic LONG/SHORT signal generation
Configurable sensitivity through MOST Percent, MA Type, and RSI Length
Smart Position Management
Initial order + cascading Safety Orders (SO)
Adjustable deviation, step scaling, and volume scaling
Independent LONG and SHORT deviation settings
Breakeven after N safety orders
Automatic TP placement based on average entry price
Clean Visual Structure
TP lines visible only when a position is open
NEXT SO level with dynamic labeling
Average price line with subtle styling
Transparent background zones for TP, SO, and AVG
Real‑time mini‑table showing position metrics
Manual Entry Mode
Set custom LONG/SHORT entry levels
Automatic line drawing
One‑click reset
Perfect for discretionary setups
📊 Recommended Timeframes
1H — balanced
4H — conservative
MOST‑RSI adapts well across different market conditions.
🔧 Optimization Recommendations
1. Deviation (%)
Trending markets: 4–7%
Ranging markets: 2–3%
Optimize LONG and SHORT separately
2. Safety Order Volume Scale
Typical range: 1.3–1.6
Higher = faster averaging, higher risk
3. Safety Order Step Scale
1.4–1.7 for safer spacing
1.1–1.3 for tighter spacing
4. Take‑Profit
Volatile assets: 2–5%
Stable assets: 1.5–2%
5. Risk Management
Max SO: 5–10 depending on volatility
More SO = safer but more capital required
6. MOST‑RSI Parameters
RSI Length: 14
MA Length: 5
MOST Percent: 7–12%
7. Backtesting
Use at least 1 year of data
Include high‑volatility periods
8. Drawdown Control
If drawdown is too high:
Lower SO volume scale
Reduce max SO
Increase SO step scale
📌 Disclaimer
This script does not guarantee profits and is not financial advice.
Always test strategies on historical data and use proper risk management.
Multi-Symbol Inside Bar Detector (4-Symbol Compression)Multi-Symbol Inside Bar Detector (4-Symbol Compression)
Overview
Detects simultaneous inside bars across 4 symbols in real-time — a signal of market-wide compression that may precede directional moves. When all 4 symbols are "inside" (trading within the prior bar's range), the market is consolidating.
Monitor SPY, QQQ, DIA, IWM (or any 4 symbols you choose) on a single timeframe. No more chart hopping. Designed for Rob Smith's "The Strat" methodology and price action traders who trade compression setups.
🎯 Why This Matters
Inside bars indicate compression and consolidation.
When all 4 major ETFs simultaneously compress into inside bars:
Market is consolidating within a range
Volatility is contracting (not expanding)
A directional move may follow (direction unknown)
This is NOT a directional signal — it's a consolidation detector. You determine direction based on your analysis. This indicator identifies WHEN compression exists across multiple symbols.
✅ Key Features
✅ 4-Symbol Monitoring — Track 4 symbols simultaneously on one timeframe
✅ Visual Alerts — Bar coloring + optional "4-Inside" labels
✅ TradingView Alerts — Get notified when all 4 go inside simultaneously
✅ Live vs Confirmed Mode — Toggle between real-time (repaints) or bar-close confirmation (no repaint)
✅ Customizable — Any 4 symbols, any timeframe, custom colors
✅ Debug Table — See which symbols are inside (troubleshooting)
📊 How It Works
Inside Bar Definition (Rob Smith Standards)
An inside bar forms when:
High < Prior High AND
Low > Prior Low
Current bar trades entirely within prior bar's range.
Technical Implementation
pinescriptisInside(h, l, ph, pl) =>
na(h) or na(l) or na(ph) or na(pl) ? false : (h < ph and l > pl)
NA-safe: Handles missing data gracefully
Strict comparison: Uses < and > (not <= or >=)
Rob Smith compliant: Tick-perfect inside bar detection per Strat methodology
4-Symbol Requirement
Signal fires when ALL 4 symbols are inside bars simultaneously. If only 3 are inside → no signal. All 4 must compress together.
⚙️ Settings Guide
Symbols
Default: SPY, QQQ, DIA, IWM (broad market coverage)
Customize: Click to change to ANY 4 symbols
Popular Combinations:
Futures: ES, NQ, YM, RTY
Sectors: XLF, XLK, XLE, XLV
Mega Caps: AAPL, MSFT, GOOGL, AMZN
Timeframe
Default: 60 (1-hour bars)
What it does: Applies SAME timeframe to all 4 symbols
Examples: 5 (5min), 15 (15min), D (Daily)
Live Intrabar Mode
ON (default): Shows forming bars in real-time (repaints until close)
OFF: Waits for bar close (no repaint, confirmed only)
Use ON for: Live monitoring, intraday setups
Use OFF for: Alerts, backtesting, confirmed signals
Display Options
Show Labels: Toggle "4-Inside" labels on/off
Inside Bar Color: Default yellow (customize)
Show Debug Table: See per-symbol status (for troubleshooting)
🔔 Setting Up Alerts
Right-click chart → "Add Alert"
Condition: Select this indicator
Frequency: "Once Per Bar Close" (recommended for confirmed mode)
Alert fires when all 4 symbols go inside simultaneously (edge detection, not every bar)
💡 Example Trading Approaches
Note: These are educational examples, not trading advice. Past compression patterns do not guarantee future directional moves.
Approach 1: Higher TF Compression → Lower TF Trigger
1H chart: 4-symbol inside bar forms (compression)
15m chart: Monitor for directional break
Await confirmation with your analysis before entry
Approach 2: Daily Compression → Intraday Entries
Daily chart: All 4 compress (consolidation)
1H chart: Monitor for range expansion
Use your directional bias to determine position
Approach 3: Sector Analysis
Use sector ETFs (XLF, XLK, XLE, XLV)
When all 4 compress → observe which breaks first
Analyze sector strength/weakness patterns
🎯 Why 4 Symbols?
Market coverage: When SPY, QQQ, DIA, and IWM all compress together, it indicates broad market consolidation across multiple market-cap segments.
SPY: S&P 500 (large caps)
QQQ: Nasdaq 100 (tech)
DIA: Dow 30 (blue chips)
IWM: Russell 2000 (small caps)
Using 4 major indices helps filter noise from single-symbol compression.
⚡ Quick Start
Add indicator to chart
Choose symbols (default: SPY/QQQ/DIA/IWM)
Set timeframe (default: 60min)
Toggle live mode (ON for real-time, OFF for confirmed)
Create alert (optional)
Yellow bars = all 4 inside
Use with your directional analysis
🔒 Technical Details
Code Quality
✅ PineScript v6 (latest)
✅ NA-safe logic (handles missing data)
✅ Rob Smith Strat standards (strict tick tolerance)
✅ No repainting (in confirmed mode)
✅ Efficient performance (max_bars_back=2)
✅ Open-source (educational transparency)
Repainting Behavior
Live Mode (ON): Repaints until bar closes (shows forming bars)
Confirmed Mode (OFF): No repaint, waits for bar close
Alert recommendation: Use Confirmed Mode to avoid false alerts
📞 Support
Follow me on TradingView for updates and new indicators.
Questions? Leave a comment below. I respond to all feedback.
⚠️ Important Disclaimers
Not financial advice: This indicator is for educational purposes and market analysis
No performance guarantees: Past patterns do not predict future results
Directional bias required: Inside bars indicate consolidation, not direction
Risk management essential: Always use proper position sizing and stops
Test before trading: Backtest on historical data and paper trade first
💬 Final Thoughts
Compression often precedes expansion, but direction remains uncertain. When multiple major indices compress simultaneously, it indicates market-wide consolidation. This indicator helps identify those moments across 4 symbols — no more chart hopping, easier pattern recognition.
Use it as one component of your analysis, combine with your directional methodology, and always manage risk appropriately.
Happy trading! 📈
Free and open-source for personal use. If you find this valuable:
👍 Like | 📝 Review | 🔔 Follow
Ultimate Volume Dashboard & Signals V2📋 Clear Entry Criteria Summary
BUY Entry SELL Entry
✅ RVOL ≥ 1.5x ✅ RVOL ≥ 1.5x
✅ Green Candle ✅ Red Candle
✅ Strong Body (>50%) ✅ Strong Body (>50%)
✅ Price > VWAP ✅ Price < VWAP
✅ Price > EMA 50 ✅ Price < EMA 50
✅ RSI 50-80 ✅ RSI 20-50
⭐ Extreme Vol = Strong Signal ⭐ Extreme Vol = Strong Signal
🆕 Key Improvements
Cooldown Period - Prevents signal spam
EMA Filter - Additional trend confirmation
Candle Body Check - Filters weak/doji candles
Strong vs Regular Signals - Extreme volume = higher conviction
Entry/SL Levels - ATR-based levels displayed
Alert Conditions - Ready for notifications
Would you like me to add backtesting statistics or multi-timeframe confirmation?
//@version=5
indicator("Ultimate Volume Dashboard & Signals", overlay=true)
// ==========================================
// 1. SETTINGS & INPUTS
// ==========================================
// General Settings
lookback_len = input.int(20, "Volume Moving Average Length", group="Volume Settings")
rvol_thresh = input.float(1.5, "RVOL Threshold (Breakout Level)", step=0.1, group="Volume Settings")
// Trend Settings
use_vwap = input.bool(true, "Filter Signals using VWAP", group="Trend Filters")
rsi_len = input.int(14, "Momentum Length (RSI)", group="Trend Filters")
// Dashboard Settings
show_table = input.bool(true, "Show Dashboard", group="UI Settings")
table_size = input.string("Small", "Table Size", options= , group="UI Settings")
// ==========================================
// 2. CALCULATIONS
// ==========================================
// --- Volume Calculations ---
vol_ma = ta.sma(volume, lookback_len) // Average Volume
rvol = volume / vol_ma // Relative Volume (Current vs Average)
// --- Trend & Momentum Calculations ---
rsi_val = ta.rsi(close, rsi_len) // RSI Momentum
vwap_val = ta.vwap(close) // Volume Weighted Average Price
// Detect Volume Spikes (The "Upcoming" Momentum)
is_vol_spike = rvol >= rvol_thresh
// ==========================================
// 3. SIGNAL LOGIC
// ==========================================
// Bullish Signal Logic
// 1. Volume is significantly higher than average (Spike)
// 2. Candle is Green (Close > Open)
// 3. Price is above VWAP (Institutional Control)
// 4. RSI is rising but not completely maxed out (>50)
bull_trend = use_vwap ? (close > vwap_val) : true
buy_signal = is_vol_spike and close > open and bull_trend and rsi_val > 50 and rsi_val < 90
// Bearish Signal Logic
// 1. Volume Spike
// 2. Candle is Red (Close < Open)
// 3. Price is below VWAP
// 4. RSI is falling (<50)
bear_trend = use_vwap ? (close < vwap_val) : true
sell_signal = is_vol_spike and close < open and bear_trend and rsi_val < 50 and rsi_val > 10
// ==========================================
// 4. VISUALS ON CHART
// ==========================================
// Color Bars based on Volume Intensity
bar_color = is_vol_spike ? (close > open ? color.new(color.lime, 0) : color.new(color.red, 0)) : (close > open ? color.new(color.gray, 60) : color.new(color.gray, 60))
barcolor(bar_color)
// Plot Buy/Sell Labels
plotshape(buy_signal, title="BUY Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="VOL BUY", textcolor=color.white, size=size.small)
plotshape(sell_signal, title="SELL Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="VOL SELL", textcolor=color.white, size=size.small)
// Plot VWAP for reference
plot(use_vwap ? vwap_val : na, "VWAP", color=color.yellow, linewidth=1)
// ==========================================
// 5. DASHBOARD PANEL
// ==========================================
if show_table
// Define Table Size
t_size = table_size == "Tiny" ? size.tiny : table_size == "Small" ? size.small : table_size == "Normal" ? size.normal : size.large
text
// Create Table (Top Right)
var tbl = table.new(position.top_right, 2, 5, bgcolor=color.new(color.black, 50), border_color=color.gray, border_width=1, frame_color=color.gray, frame_width=1)
// --- Header ---
table.cell(tbl, 0, 0, "METRIC", text_color=color.white, bgcolor=color.new(color.blue, 20), text_size=t_size)
table.cell(tbl, 1, 0, "STATUS", text_color=color.white, bgcolor=color.new(color.blue, 20), text_size=t_size)
// --- Row 1: RVOL (Volume Strength) ---
rvol_color = rvol > 2.0 ? color.red : rvol > 1.0 ? color.green : color.gray
rvol_txt = rvol > 2.0 ? "EXTREME (" + str.tostring(rvol, "#.##") + "x)" : rvol > 1.0 ? "High (" + str.tostring(rvol, "#.##") + "x)" : "Low (" + str.tostring(rvol, "#.##") + "x)"
table.cell(tbl, 0, 1, "Rel Volume (RVOL)", text_color=color.white, text_size=t_size)
table.cell(tbl, 1, 1, rvol_txt, text_color=color.white, bgcolor=rvol_color, text_size=t_size)
// --- Row 2: Trend (VWAP) ---
trend_txt = close > vwap_val ? "BULLISH" : "BEARISH"
trend_col = close > vwap_val ? color.green : color.red
table.cell(tbl, 0, 2, "Trend (VWAP)", text_color=color.white, text_size=t_size)
table.cell(tbl, 1, 2, trend_txt, text_color=color.white, bgcolor=trend_col, text_size=t_size)
// --- Row 3: Momentum (RSI) ---
mom_txt = rsi_val > 50 ? "Positive" : "Negative"
mom_col = rsi_val > 50 ? color.green : color.red
table.cell(tbl, 0, 3, "Momentum", text_color=color.white, text_size=t_size)
table.cell(tbl, 1, 3, mom_txt, text_color=color.white, bgcolor=mom_col, text_size=t_size)
// --- Row 4: Signal Status ---
sig_txt = buy_signal ? "BUY NOW" : sell_signal ? "SELL NOW" : "WAIT"
sig_col = buy_signal ? color.lime : sell_signal ? color.red : color.gray
table.cell(tbl, 0, 4, "ACTION", text_color=color.white, bgcolor=color.new(color.white, 80), text_size=t_size)
table.cell(tbl, 1, 4, sig_txt, text_color=color.black, bgcolor=sig_col, text_size=t_size) clear entre based on code
Dips Oleg Adaptive Dip‑Buying Strategy with Lot Precision & Smart Averaging
📘 Description
This strategy is a personalized adaptation of an idea originally developed by the respected author fullmax.
I reworked the concept to suit my own trading approach, adding lot‑precision rounding to avoid exchange quantity errors when using webhooks, and enhancing the visual and analytical components of the script.
🔧 What’s New in This Version
Configurable lot precision to ensure clean, exchange‑safe order sizes
Improved UI elements: base‑order labels, compact mini‑table, grouped settings
Dynamic safety‑order pricing based on price drops and scaling factors
Flexible date‑range filtering for controlled backtesting
Clear visualization of SMA threshold, safety levels, breakeven, and take‑profit
Adaptive threshold logic that adjusts depending on trend conditions
🎯 Core Logic
The strategy monitors how far price deviates from a short‑term SMA.
When the deviation crosses a user‑defined threshold, the script opens a base position.
If price continues to dip, the system deploys safety orders with:
scalable volume
scalable distance
precise rounding for compatibility with webhook automation
Once the position is built, the strategy manages exits using a fixed take‑profit target.
A breakeven reference line and auto‑cleanup logic help maintain clarity and prevent stale orders.
⚙️ Feature Overview
Dip‑based entry logic with bull/bear threshold switching
Safety orders with volume and step scaling
Take‑profit management
Breakeven visualization
Mini‑table showing real‑time position metrics
Clean chart overlays for easier interpretation
📝 Disclaimer
This script is intended for educational and analytical use.
It does not guarantee profits and should be tested thoroughly before being used in live trading.
Price_Deviation Oleg📘 Description
This script is an extended and customized version of the original work by the respected author fullmax.
I adapted the logic for my own trading needs and added several improvements, including lot‑precision rounding to prevent exchange errors when using webhook automation, as well as additional visualization elements for clarity.
🔧 Key Enhancements
Lot precision control (prevents invalid quantity errors on exchanges when using webhooks)
Base order labels for easier visual tracking
Mini‑table with live position metrics
Configurable date‑range window for backtesting
Dynamic safety‑order price calculation
Trailing take‑profit option
Improved visualization of thresholds, MA, and TP levels
🎯 How the Strategy Works
The script calculates a moving average and compares the current price deviation against user‑defined thresholds.
When the deviation condition is met, the strategy opens a base position and then manages it using safety orders that scale in both volume and distance.
After entering a position, the script manages exits using:
a fixed take‑profit target
or an optional trailing take‑profit
plus a breakeven reference line
and an auto‑close mechanism when the averaging cycle resets
All order quantities are rounded according to the selected lot precision to ensure compatibility with exchange requirements when sending webhook‑based orders.
⚙️ Features Overview
Deviation‑based entry logic
Safety orders with volume and step scaling
Configurable date window for testing
Trailing TP with adjustable distance
Breakeven visualization
Mini‑table showing quantity, USD value, open trades, PnL, and equity
Clean and intuitive chart visualization
📝 Disclaimer
This script is provided for educational purposes only.
It does not constitute financial advice and does not guarantee profits.
Always test strategies on historical data before using them in live trading.
Swing Failure Pattern Strategy Btc Only 5min🔍 Overview
The Swing Failure Pattern (SFP) Strategy is a pure price-action trading system designed to capture liquidity sweeps and market reversals around key swing highs and lows.
It is based on the concept that price often briefly breaks a swing level to trigger stop-losses, then reverses in the opposite direction.
This strategy trades only confirmed SFP setups, ensuring disciplined entries with clearly defined risk.
📈 Bullish SFP (Long Setup)
A Bullish Swing Failure Pattern forms when:
A valid swing low is created
Price wicks below the swing low
The candle closes back above the swing level
Confirmation occurs when price closes above the opposing high
➡️ Action: Enter LONG on the confirmation candle close
📉 Bearish SFP (Short Setup)
A Bearish Swing Failure Pattern forms when:
A valid swing high is created
Price wicks above the swing high
The candle closes back below the swing level
Confirmation occurs when price closes below the opposing low
➡️ Action: Enter SHORT on the confirmation candle close
🛑 Risk Management
Stop Loss
Long → Low of the SFP wick
Short → High of the SFP wick
Take Profit
Fixed Risk : Reward = 1 : 2
All SL and TP levels are fixed at entry (no repainting)
🔁 Trailing Take Profit (Optional)
Trailing TP can be enabled from settings
Trailing starts after 1R profit
Trail distance is R-based and fully adjustable
Works for both long and short trades
⏰ Time Filters
Optional No-Trade on Saturday & Sunday
Prevents new entries during weekends
Active trades continue to manage SL & TP normally
⚙️ Strategy Features
Price-action based (no indicators)
Confirmation-only entries
No repainting logic
Works on all markets and timeframes
Orders executed on candle close
🎯 Best Use Cases
Forex
Indices
Crypto
Futures
Best performance during London & New York sessions
⚠️ Disclaimer
This strategy is intended for educational and backtesting purposes only.
Always test and manage risk appropriately before live trading.
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex
🔍 Overview
DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation.
This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed.
It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency.
🧠 Strategy Logic (How It Works)
DkSPro follows a sequential decision process, not a single-indicator signal:
Trend Bias (EMA Structure)
A fast and slow EMA define the directional bias.
Long trades are only allowed during bullish EMA alignment.
Short trades are only allowed during bearish EMA alignment.
This prevents counter-trend and ranging-market entries.
Market Structure & Breakout Validation
The strategy identifies recent swing highs and lows.
Trades are triggered only after a confirmed breakout of structure, not during consolidation.
This avoids early entries and false momentum moves.
Volume Confirmation
Volume must exceed its moving average by a defined multiplier.
This ensures participation and filters out low-liquidity breakouts.
Volume thresholds adapt depending on the selected trading mode.
Momentum Confirmation (RSI)
RSI is used strictly as a momentum filter, not as a standalone signal.
It confirms that price movement aligns with the breakout direction.
Risk Management (Mandatory)
Every position includes a predefined Stop Loss and Take Profit.
Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits.
All conditions must align simultaneously; otherwise, no trade is executed.
⚙️ Trading Modes
SAFE Mode
Stronger volume and RSI thresholds
Fewer trades, higher selectivity
Designed for risk control and consistency
AGGRESSIVE Mode
Slightly relaxed filters
Higher trade frequency during strong momentum
Intended for experienced users only
📊 Markets & Assets
This strategy has been actively used and tested on:
🟢 Crypto (Binance / Binance.US)
SOL-USDT
XRP-USDT
Other high-liquidity pairs (BTC, ETH)
Crypto mode benefits from stronger volume confirmation to adapt to higher volatility.
🔵 Forex
Major pairs such as EURUSD, GBPUSD, USDJPY
Optimized for liquid markets with lower relative volume
The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class.
⏱ Recommended Timeframes
Crypto: 5m – 15m
Forex: 15m – 1H
Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior.
🧪 Backtesting & Settings Transparency
Default strategy properties are intentionally conservative to reflect realistic conditions:
Initial capital: $20,000
Position size: 2% of equity
Commission: 0.08%
Slippage: 1 tick
Fixed Stop Loss and Take Profit on every trade
Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades).
📈 Originality & Usefulness
DkSPro is not a simple indicator mashup.
Each component serves a specific role in a layered confirmation system:
EMAs define direction
Structure defines timing
Volume validates participation
RSI confirms momentum
Risk management controls exposure
Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator.
⚠️ Important Notes
This script is an analysis and execution tool, not financial advice.
Market conditions change, and no strategy performs well in all environments.
Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance.
🧩 Version Notice
This publication represents a consolidated and refined version of an internal experimental script.
No parallel or duplicate versions are intended.
All future improvements will be released exclusively using TradingView’s Update feature.
🇪🇸 Descripción en Español (Resumen)
DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo.
Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar.
Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
Smart Scalper Pro Template + VWAP
📌 Author
Garry Evans
Independent system developer focused on:
Risk-first automation
Market structure & liquidity behavior
Discipline, consistency, and capital preservation
“The edge isn’t the market — it’s the man who survives it.”
⚙️ Risk Management & Position Sizing
The script is built around capital protection, not signal frequency.
Risk logic includes:
Fixed or dynamic risk per trade
Market-adaptive position sizing
Session-based trade limits
Daily trade caps and auto-lockout protection
Volatility-aware sizing (futures & crypto)
⚠️ Profit is pursued only after risk is controlled.
📊 Track Record
Backtested across multiple market environments
Forward-tested and actively used by the author
Real-account trades are logged where platform rules allow
Results vary by market, timeframe, and user-defined risk settings.
🌍 Supported Markets
Designed to work across all liquid markets, including:
Stocks
Crypto (spot & futures)
Options (signal-based framework)
Futures (indices, metals, crypto futures)
The system adapts to volatility and structure — it is not market-specific.
⚖️ Leverage
Leverage is not required
If used, leverage is fully user-controlled
Risk logic scales exposure conservatively
No martingale.
No revenge sizing.
No over-exposure logic.
🧪 Backtesting
✔ Yes
Strategy logic has been backtested
Filters reduce chop, noise, and forced trades
Focus on drawdown control over curve-fitting
🛠 Support
✔ Yes
Direct author support
Ongoing improvements and updates
Feature refinement based on real usage and feedback
👥 Community
✔ Yes
Private user access
High-quality feedback environment
No public signal spam or hype-driven chat rooms
⏳ Trial Period
✔ Yes
Limited trial access available
Designed for evaluation only
Trial users do not receive full feature access
🚫 Who This Script Is NOT For
This system is not for:
Traders looking for guaranteed profits
Users expecting copy-paste “signal calls”
Over-leveraged gamblers
Those unwilling to follow risk rules
Anyone seeking overnight results
This is a discipline and automation tool, not a shortcut.
🧠 Final Positioning
This is not a signal service.
This is a risk-controlled execution framework designed to:
Enforce discipline
Reduce emotional trading
Protect capital during bad market conditions
Scale responsibly during favorable ones
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops.
How it Works:
Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals.
Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend.
Liquidity Sweep Detection:
A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward.
A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes.
ATR-Based Risk Management:
Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5).
Take profit is set based on a risk-reward ratio (default 2.5x).
Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading.
Inputs:
Session Start/End (HHMM)
Liquidity Lookback Period (number of bars to define prior high/low)
ATR Length for stop calculation
ATR Stop Multiplier
Risk-Reward Ratio
EMA Trend Filter Length
Visuals:
Prior Liquidity High (red)
Prior Liquidity Low (green)
EMA Trend (blue)
Why Use This Strategy:
Captures stop-hunt moves often triggered by larger market participants.
Only trades with trend confirmation, reducing false signals.
Provides automatic ATR-based stop loss and take profit for consistent risk management.
Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style.
Important Notes:
Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker.
Not financial advice; intended for educational, backtesting, or paper trading purposes.
Always test strategies thoroughly before applying to live accounts.
Broadening Formation Reclaim Stats v1.0Description: Broadening Formation Reclaim Stats v1.0
Overview
The Broadening Formation Reclaim Stats is a technical analysis tool designed to track and quantify "reclaim" price action within expanding market structures (Broadening Formations). It focuses on scenarios in which price breaches a prior Swing High or Swing Low and subsequently rotates back into the range, often signaling a potential reversal toward the opposite side of the formation.
This indicator is built for traders who study price action rotations, "The Strat" (Rev 2-2 / Failed 2-Down/Up), and liquidity sweeps.
How It Works
The script utilizes a state-machine logic to track price movements relative to high and low pivots:
1. Structure Identification: It identifies recent Pivot Highs and Lows (Auto-Swing mode) or allows users to input specific price levels (Manual mode).
2. The Breach: It identifies when price breaks above the established high or below the established low, "locking" the structure for a potential reclaim.
3. The Reclaim: A signal is generated when price moves back inside the range using specific price action triggers:
Rev 2-2: A reversal pattern where price reverses the direction of the previous candle.
Failed 2-Down/Up: Price makes a new wick extreme but closes back within the previous candle's range and below its opening price.
4. Targets: The script considers a reclaim "Successful" if price reaches the opposite side of the broadening formation (the opposing pivot).
Key Features
Backtesting Dashboard: A real-time table displaying the total number of reclaims, global success rates, and a breakdown of Bullish vs. Bearish performance.
Flexible Lookbacks: Statistics can be calculated based on the entire chart history, "Today Only" (for day traders), or a specific number of bars.
Dual Mode Detection: Choose between **Auto Swing** detection (based on a user-defined pivot length) or **Manual** mode for specific levels.
Optimized Visuals: Uses the Pine Script Plot Engine for core levels to ensure price-scale stability and "Box Objects" for clear pivot visualization.
Settings
Swing Length: Adjust the sensitivity of the pivot detection.
BF Mode: Toggle between automatic pivot tracking or manual price entry.
Statistics Start Mode: Filter the data displayed in the table to focus on recent price action or historical performance.
UI Customization: Fully adjustable table position, size, and transparency.
Disclaimer
This indicator is for educational and research purposes only. It tracks historical price action patterns and does not constitute financial advice. Past performance (success rates) as displayed in the dashboard is not an indicator of future results.
Gann Octogram - Sacred Geometry Confluence Ver 1.0📐 Gann Octogram - Sacred Geometry Confluence Ver 1.0
Overview
Advanced Gann analysis tool combining W.D. Gann's Square of Nine principles with sacred geometry and multi-factor confluence signals. This indicator automatically detects swing highs/lows and projects octogram grids forward in time and price, identifying high-probability trading opportunities where multiple factors align.
Understanding Gann Octograms
W.D. Gann believed markets move in geometric patterns through time and price. The octogram (8-sided figure) represents the square of nine principle where:
Price divisions (1/8ths) create natural support/resistance
Time cycles mark potential reversal points
Diagonal angles show dynamic price-time relationships
Confluence zones where geometry aligns offer highest probability trades
This indicator makes these complex calculations automatic and visual.
Key Features
🎯 Intelligent Auto-Detection
Auto Gann Number Selection: Automatically chooses optimal Gann period (11, 22, 44, 88, 176) based on timeframe and data availability
Adaptive Half-Period Mode: Uses Gann/2 for faster swing detection while validating with full period
Smart Grid Projection: Projects octagrams near current price action for relevance
📊 Sacred Geometry Visualization
Octogram Grids: Complete octagonal geometry with inner square, angled square, and connecting lines
Gann Angles: 1×1 and 2×1 diagonal support/resistance angles
Time Cycles: Quarter, half, and three-quarter cycle markers
Price Levels: Automatic 1/8th division levels (0%, 12.5%, 25%, 37.5%, 50%, 62.5%, 75%, 87.5%, 100%)
⚡ Advanced Confluence System
Adjustable 4-Factor Confluence (Levels 0-4):
Price Level Touch: Precise detection of key support/resistance levels
Time Cycle Alignment: Major (25%, 50%, 75%) and minor (1/8th divisions) cycles
Octogram Geometry: Proximity to vertices and diagonal angles
Price Action: Bullish/bearish candle confirmation
Confluence Levels:
Level 0: Signals on price touch only (most signals)
Level 1: Minimum 1 factor required
Level 2: Minimum 2 factors (⭐ recommended - balanced)
Level 3: Minimum 3 factors (strict quality)
Level 4: All 4 factors required (highest quality, fewer signals)
🛡️ Signal Quality Controls
Max Signals Per Cell: Limit signals to 1-10 per grid cell
Cooldown Period: Minimum bars between consecutive signals
Cell Signal Tracking: Automatic reset when entering new time cells
Adjustable Tolerances: Fine-tune price and geometry sensitivity
How It Works
Swing Detection: Identifies significant market swings using pivot highs/lows
Grid Construction: Builds octogram grid from swing high to swing low
Multi-Grid Projection: Projects multiple cells forward (time) and vertically (price)
Confluence Analysis: Monitors all 4 factors continuously
Signal Generation: Fires BUY/SELL when confluence threshold is met
BUY Signals trigger when:
Price touches LOW zones (0%-50%)
At key time cycle points
Near octogram geometry
Bullish candle forms
SELL Signals trigger when:
Price touches HIGH zones (50%-100%)
At key time cycle points
Near octogram geometry
Bearish candle forms
Settings Guide
Structure Settings
Auto Gann Number: Enable for automatic period selection (recommended)
Manual Gann Number: 11, 22, 44, 88, or 176 bars
Use Half Period: Faster detection using Gann/2 lookback
Grid Stability: Adaptive (1/8th) / Strict (1/4th) / Relaxed (1/16th)
Signal Settings ⚙️
Confluence Level: 0-4 (start with 2)
Price Tolerance: 1-8% (default 3%)
Geometry Tolerance: 0.5-5% (default 2.5%)
Min Bars Between Signals: 1-20 (default 3)
Max Signals Per Cell: 1-10 (default 4-6)
Display Options
Toggle grid squares, octagrams, triangles, Gann angles
Customizable colors for all elements
Time cycle visualization
Swing high/low markers
Info panel with swing statistics
Best Practices
For Day Trading (5min-15min charts):
Confluence Level: 2
Auto Gann: ON
Grid Stability: Adaptive
Max Signals Per Cell: 4-6
For Swing Trading (1H-4H charts):
Confluence Level: 3
Auto Gann: ON
Grid Stability: Strict
Max Signals Per Cell: 2-4
For Position Trading (Daily charts):
Confluence Level: 3-4
Manual Gann: 88 or 176
Grid Stability: Strict
Max Signals Per Cell: 2-3
Alert Setup
Built-in alert conditions:
Gann Octogram Buy - Fires on BUY signal
Gann Octogram Sell - Fires on SELL signal
Configure alerts using TradingView's alert system to get notified when confluence zones trigger.
Backtesting Tips
Start with Confluence Level 2 (balanced approach)
Increase level to 3-4 if too many signals
Decrease to 1 if missing opportunities
Adjust tolerances based on asset volatility
Test different Gann numbers for your specific market
Credits & Theory
Based on W.D. Gann's principles:
Square of Nine
Time-Price Geometry
Sacred Geometry (Octograms)
Natural Market Cycles
Developed with modern Pine Script for reliability, efficiency, and user control.
Version History
Ver 1.0 - Initial Release
4-factor confluence system
Auto Gann number selection
Adjustable confluence levels (0-4)
Sacred geometry visualization
Signal quality controls
Support
For questions, suggestions, or issues:
Comment on this indicator
Check the code (open source)
Experiment with settings for your trading style
Happy Trading! 📈
Disclaimer
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. Backtest thoroughly before live trading.
Manual Backtest Dashboard (100 Trades)Manual Backtest Dashboard (100 Trades) is a lightweight TradingView indicator designed to help traders manually record and evaluate their trading performance directly on the chart. This tool is built specifically for discretionary traders such as SMC, price action, scalping, and intraday traders who want to analyze their win rate and overall performance without relying on the Strategy Tester.
The indicator works by allowing users to input their trade results manually through the settings panel. Each trade is recorded using simple values: 1 for a winning trade, -1 for a losing trade, and 0 for an empty or uncounted trade. The dashboard automatically calculates the total number of trades entered, the number of wins and losses, and the win rate percentage in real time. Users do not need to fill all 100 trade slots, as only trades with non-zero values are included in the calculations.
This indicator does not place trades or generate buy and sell signals. Instead, it focuses purely on performance evaluation, making it ideal for subjective backtesting, forward testing, and manual trading journals. The dashboard is clean, lightweight, and does not clutter the price chart, ensuring a smooth and distraction-free trading experience. The script is stable, efficient, and does not repaint, making it a reliable tool for traders who want to track and improve their consistency over time.
Wick Analysis Chart [LTS]Wick Analysis Chart - Advanced Price Rejection Visualization
Overview
The Wick Analysis Chart is a specialized oscillator that measures and visualizes price rejection strength by analyzing candle wicks relative to their body sizes. Unlike traditional wick analysis that uses raw price differences, this indicator converts wick measurements into percentage ratios, making them comparable across different instruments, timeframes, and market conditions.
The indicator emphasizes significant price rejections by incorporating volume-weighted calculations with selectable scaling methods (linear, logarithmic, or square root), while filtering out noise through multiple customizable filters including ATR-based volatility filtering, wick size thresholds, and doji detection.
What Makes This Original
This indicator combines several unique analytical approaches not commonly found together:
Percentage-based wick ratios rather than absolute price measurements, enabling cross-instrument and cross-timeframe comparisons
Volume weighting applied BEFORE filtering to ensure high-volume rejections aren't excluded
Three distinct volume scaling methods (linear, logarithmic, square root) to accommodate different trading styles and prevent chart compression
Multi-layer filtering system combining ATR volatility thresholds, minimum wick size requirements, and doji detection
Intelligent plot ordering that ensures smaller wick components remain visible when displaying both upper and lower wicks simultaneously
Color-coded rejection direction showing bullish rejections (lower wick dominant) versus bearish rejections (upper wick dominant)
How It Works
Core Calculation
The indicator calculates wick-to-body ratios as percentages:
Total Wick % = (Upper Wick + Lower Wick) / Body Size × 100
Upper Wick % = Upper Wick / Body Size × 100
Lower Wick % = Lower Wick / Body Size × 100
A 200% total wick value means the combined wicks are twice the size of the candle body, indicating strong price rejection.
Volume Weighting
Volume weighting is applied to emphasize rejections that occur on significant volume. The indicator offers three scaling methods:
Linear Scaling: Direct volume multiplier (2x volume = 2x display value). Best for dramatic emphasis on volume spikes. Suitable for scalping and intraday trading where volume surges signal important levels.
Logarithmic Scaling: Diminishing returns on extreme volume using the formula: multiplier = 1 + log(volume ratio). A 10x volume spike produces only ~3.3x emphasis. Best for preventing chart compression while maintaining volume awareness. Ideal for swing trading and multi-timeframe analysis.
Square Root Scaling: Balanced approach using square root of volume ratio. A 4x volume spike produces 2x emphasis. Provides middle ground between linear and logarithmic. Suitable for most day trading applications.
Filtering System
Three independent filters work together to eliminate noise:
ATR Filter: Removes candles whose total range is below a specified percentage of the Average True Range. This filters out low-volatility consolidation periods, focusing analysis on meaningful price movements.
Wick Size Filter: Removes candles whose volume-weighted wick percentage is below the threshold. This ensures only significant rejections are displayed, even if the candle met the ATR requirement.
Doji Filter: Automatically filters candles where the body is smaller than the specified percentage of total range. Doji candles produce extreme wick ratios that can skew the chart scale.
Calculation Flow
1. Calculate base wick-to-body percentages
2. Apply volume weighting using selected scaling method
3. Check ATR filter (if enabled)
4. Check wick size filter using volume-weighted values (if enabled)
5. Check doji filter
6. Display final values if all filters pass
How To Use
Display Configuration
Total Wick Value: Shows combined upper and lower wick size. Color indicates rejection direction - green when lower wick dominates (buyers rejected downside), red when upper wick dominates (sellers rejected upside).
Upper Wick Value: Isolated upper wick measurement. Useful for identifying supply zones and resistance rejection.
Lower Wick Value: Isolated lower wick measurement. Useful for identifying demand zones and support rejection.
When both upper and lower wicks are displayed simultaneously, the indicator automatically plots them in size order so the smaller value remains visible.
Volume Weighting Setup
Enable volume weighting and select your preferred scaling method based on trading style:
Linear: Maximum emphasis on volume, accepts potential chart compression
Logarithmic: Minimal chart compression, subtle volume emphasis
Square Root: Balanced approach for most applications
Adjust Volume Average Length based on your timeframe (shorter for intraday, longer for swing trading).
Filter Configuration
ATR Filter: Start with 80% to focus on above-average volatility moves. Increase to 100%+ for only the most volatile candles, or decrease to 60-70% to include more data.
Wick Size Filter: Start with 50% to show wicks at least half the body size. Increase to 75-100% for only the most significant rejections, or decrease to 25% for more sensitivity.
Doji Threshold: Default 5% works well for most markets. Increase for markets with frequent small-bodied candles.
Reference Levels
100% Line (Equilibrium): Represents 1:1 wick-to-body ratio. Values above this line indicate wicks larger than the body.
Extreme Level: User-defined threshold for alerts. Default 500% means wicks are 5x the body size. Adjust based on your instrument and filter settings with volume weighting enabled.
Trading Applications
Identifying Key Levels: Large wick percentages with high volume often mark important support/resistance levels where significant orders absorbed price movement.
Trend Exhaustion: Increasing wick percentages at trend extremes, especially with declining volume weighting, can signal momentum loss.
Breakout Validation: Breakout candles with small wicks (low percentage values) suggest conviction, while large wicks suggest rejection and potential false breakouts.
Session Analysis: Compare wick percentages across different trading sessions to identify when the most significant rejections occur.
Mean Reversion Setups: Extreme wick percentages above your threshold level, particularly when colored green (bullish rejection) at support or red (bearish rejection) at resistance, can signal high-probability reversal zones.
Alerts
The indicator includes an alert condition that triggers when the total wick value exceeds the extreme level. Configure the extreme level based on your backtesting to match your instrument's characteristics and filter settings.
Settings Summary
Display Options
Show Total/Upper/Lower Wick Value: Toggle visibility
Color selections for bullish/bearish total wicks and upper/lower components
Volume Weighting
Apply Volume Weighting: Enable/disable volume emphasis
Volume Average Length: Period for volume SMA comparison (default: 20)
Volume Scaling Method: Linear/Logarithmic/Square Root
ATR Filter
Apply ATR Filter: Enable/disable volatility-based filtering
ATR Length: Period for ATR calculation (default: 14)
Filter Percent: Minimum candle range as % of ATR (default: 80%)
Wick Size Filter
Apply Wick Size Filter: Enable/disable wick size threshold
Minimum Wick %: Minimum volume-weighted wick percentage (default: 50%)
Advanced
Doji Threshold: Body size as % of range for doji detection (default: 5%)
Reference Levels
Show Reference Levels: Toggle horizontal reference lines
Extreme Level: Threshold for extreme wick values and alerts (default: 500%)
Multiple Daily Breakouts (Close Only)Pine Script strategy builds the high and low of the first four hours of the New York session (9:00 AM–1:00 PM ET), locks that range after the 1:00 PM candle closes, and then trades breakouts based strictly on candle closes (wicks ignored). The strategy allows multiple breakouts per day, entering long when price closes above the NY range and short when it closes below, with configurable position sizing and risk-reward targets; stops can be set at the opposite side of the range or dynamically calculated. It works both for historical backtesting in the Strategy Tester and for live trading/alerts, making it suitable for intraday markets on lower timeframes such as 5- to 15-minute charts.
Update: removed continuous lines between bars
Update: added h/l lines
Update: renamed
Volatility Breakout System [Fixed Risk]
This is a trend-following breakout strategy designed to capture volatility expansion while filtering out low-momentum "chop." It is built on the philosophy that significant price moves are often preceded by a breakout of volatility bands (Keltner Channels) accompanied by Volume and Trend Strength (ADX).
Strategy Logic:
Volatility Breakout: The primary trigger is a candle closing outside the Keltner Channels. This indicates price is moving faster than the average range.
Trend Filter: Trades are only taken in the direction of the 200 EMA.
Momentum Filter (ADX): The ADX filter ensures we only enter when the trend strength is above a specific threshold (Default: 20). This prevents the strategy from buying tops or selling bottoms in ranging markets.
Volume Confirmation: A breakout without volume is often a fake-out. This script requires volume to be higher than the moving average.
Risk Management (Automated):
Stop Loss: Based on ATR (Average True Range) to adapt to current market volatility.
Trailing Stop: Once the trade moves in favor, a trailing stop is activated to lock in profits.
Breakeven: If price moves X% in favor, the Stop Loss is automatically moved to the entry price to protect capital.
Cooldown: Includes a safety mechanism to prevent over-trading immediately after a signal.
Backtesting Notes:
This script is set up with use_bar_magnifier=true. For accurate results, use this on higher timeframes (1H, 4H) or ensure you have a Premium account for intrabar inspection.
Inputs:
You can toggle the "Compounding" feature to test fixed cash vs. % equity growth.
Webhooks are fully configurable for alert automation.
Evidenzia Data Specifica DinamicaSpecific Date Highlighter
Descrizione (Italiano)
Questo indicatore semplice ma estremamente efficace permette di evidenziare graficamente un'intera giornata specifica selezionata dall'utente. È lo strumento ideale per chi ha bisogno di analizzare il comportamento del prezzo durante eventi macroeconomici passati, date di earnings, o particolari sessioni storiche.
Caratteristiche principali:
Selettore Calendario Intuitivo: Grazie all'input di tipo time, puoi selezionare la data esatta tramite un calendario pop-up senza dover inserire manualmente numeri per giorno, mese e anno.
Compatibilità Multi-Timeframe: L'indicatore funziona su qualsiasi timeframe. Se sei su grafici intraday (1m, 5m, 1h), colorerà lo sfondo di tutte le candele appartenenti a quel giorno. Su grafici Daily, evidenzierà la singola candela selezionata.
Colore Personalizzabile: Puoi scegliere il colore dello sfondo e la sua opacità direttamente dalle impostazioni per adattarlo al tuo tema (Light o Dark).
Data Dinamica: Lo script è progettato per riconoscere automaticamente la data odierna come punto di partenza, facilitando l'analisi rapida dell'ultima sessione.
Casi d'uso:
Backtesting visivo: Evidenzia i giorni di rilascio dei dati CPI o decisioni FOMC per studiare la volatilità.
Journaling: Segna i giorni in cui hai effettuato trade importanti per ritrovarli facilmente nello storico.
Analisi Ciclica: Identifica rapidamente date specifiche in cui si sono verificati minimi o massimi storici.
Description (English)
This lightweight and effective tool allows you to highlight a specific full day on your chart. It is perfect for traders who need to visually isolate price action during macroeconomic events, earnings dates, or key historical sessions.
Key Features:
Calendar Picker: Easily select your target date using a built-in calendar input.
MTF Ready: Works seamlessly across all timeframes. On intraday charts, it highlights every bar within the 24-hour period. On daily charts, it highlights the specific daily candle.
Fully Customizable: Change the background color and transparency to match your chart layout.
Smart Default: The script is optimized to handle time logic correctly, ensuring the highlight starts exactly at 00:00 and ends at 23:59.
How to use: Go to settings, click on "Select Date", pick your day from the calendar, and the chart will instantly move the focus to that specific session.
FVG for Backtesting3-Candle Trend + FVG (15m) – v6
This indicator identifies three consecutive bullish or bearish candles on the 15-minute timeframe and highlights Fair Value Gaps (FVG) in the middle candle.
It displays:
Boxes marking the FVG zones
Labels showing “FVG”
Triangle signals for long (bullish) and short (bearish) setups
Fully compatible with Pine Script v6, it serves as a visual tool for spotting trend setups and potential trading opportunities.
