Future High LinePlot a horizontal line from the current high n bars into the future. Line is user configurable.
Works well with Ichimoku Cloud. When line (26 bars) rises into an overhead cloud, this often signals bullish price movement.
Indicators and strategies
Tesla 3-6-9 Vortex OscillatorTesla 3-6-9 Vortex Oscillator — Description
The Tesla 3-6-9 Vortex Oscillator is a unique market-structure indicator inspired by Nikola Tesla’s 3-6-9 theory, vortex mathematics, and digital-root numerical cycles.
This tool analyzes price and volume through digit-reduction patterns to track the frequency of “sacred” 3-6-9 values versus traditional 1-2-4-5-7-8 “material world” values.
Core Concept
In vortex math, all numbers reduce to a single digit (1–9).
However, 3, 6, and 9 form a special control triad, representing cyclical creation, harmony, and completion.
This indicator measures how often market data resolves into these higher-cycle digits — creating a real-time “vortex energy ratio” for trend bias and momentum shifts.
What the Indicator Measures
✔ Digital Root of Price / Volume / Range
✔ 3-6-9 Frequency vs. Counter Digit Frequency
✔ Vortex Ratio (%) – percentage dominance of 3/6/9 activity
✔ Smoothed Vortex Oscillator – trend-ready version
✔ Tesla Wave – a cyclical sine-wave based on vortex length & chosen (3, 6, or 9) multiplier
✔ Optional Visual Layers:
• Digital-root analysis
• Vortex spiral visualization
• Harmonic 3-6-9 levels
How to Use It
High Vortex Values (above 60%)
→ Market dominated by 3-6-9 cycles
→ Often aligns with expansion, breakouts, or trend strengthening
Low Vortex Values (below 40%)
→ Counter-digit dominance
→ Consolidation, weakening trend, or potential mean-reversion
Tesla Wave Crosses
→ Can signal timing windows and rhythm shifts within the cycle.
Who This Indicator Is For
• Traders who like numerical cycle analysis
• Users of vortex math, digital-root, or harmonic structures
• People who want a non-lagging sentiment oscillator
• Anyone blending TA + number theory for timing large moves
Smart MACD Divergence ScannerOriginal Base Indicator: "CM_MacD_Ult_MTF" by ChrisMoody
This indicator builds upon ChrisMoody's excellent multi-timeframe MACD foundation and transforms it into a professional divergence scanner with advanced quality assessment and filtering capabilities. The original MACD visualization and MTF functionality have been preserved while adding completely new divergence detection, scoring, and filtering systems.
🎯 What Makes This Indicator Unique:
Smart MACD Divergence Scanner is a professional tool for detecting MACD-based divergences with an advanced filtering system and signal quality assessment. Unlike standard divergence indicators, this version includes innovative features:
Adaptive Quality Scoring System — each signal receives a score from 0 to 100 based on multiple factors
Volatility Filter — automatic signal suppression during low market volatility periods
Multi-Timeframe Confirmation — divergence verification on higher timeframe for increased reliability
Divergence Strength Analysis — calculation of percentage difference between price and indicator movement
Information Dashboard — detailed real-time signal statistics
Cooldown System — prevention of multiple consecutive signals
💡 How It Works:
The indicator uses the classic divergence concept — the divergence between price movement and the MACD oscillator. However, instead of simple pivot detection, the algorithm:
Scans the market for local extremes (pivots) on price and MACD histogram
Searches for divergences — when price updates low/high while MACD shows opposite movement
Assesses quality — analyzes divergence strength, volatility, higher timeframe confirmation
Filters noise — eliminates weak signals through threshold system and cooldown
Generates signal — only when all quality criteria are met
🔧 Key Parameters:
MACD Settings: Fast Length (12), Slow Length (26), Signal Length (9)
Divergence Detection: Pivot Lookback (5), Max Lookback Range (60), Min Divergence Strength (15%)
Quality Filters: Min Quality Score (60), Volatility Filter, MTF Confirmation, Signal Cooldown (5)
📊 How to Use:
Add indicator to chart — it will automatically start scanning
Configure filters — start with default settings, then adapt to your trading style
Watch for signals: 🟢 Green "BUY" label = bullish divergence, 🔴 Red "SELL" label = bearish divergence
Check quality score on labels (Q: XX)
Use information panel to monitor statistics and current market conditions
⚙️ Settings Guide:
For swing trading (4H-Daily): Increase Pivot Lookback to 7-10, set Min Quality Score to 70+
For day trading (15m-1H): Keep default settings, enable all filters
For scalping (1m-5m): Decrease Min Quality Score to 50, disable MTF Confirmation
For volatile markets (crypto): Increase Min Divergence Strength to 20-25%, enable Volatility Filter
⚠️ Important Notes:
Divergences are probabilistic signals, not guaranteed reversals
Use additional confirmation (support/resistance levels, volume, price action)
Adjust parameters for specific asset and timeframe
Signals appear with Pivot Lookback bars delay (retrospective confirmation)
On volatile markets, increase Min Quality Score to reduce false signals
Kvng solzfx Gold StrategyThis indicator helps to find gold setups using kvng solz fx buy only strategy on gold
@Aladdin's Trading Web – Command CenterThe indicator uses standard Pine Script functionality including z-score normalization, standard deviation calculations, percentage change measurements, and request.security calls for multiple predefined symbols. There are no proprietary algorithms, external data feeds, or restricted calculation methods that would require protecting the source code.
Description:
The @Aladdin's Trading Web – Command Center indicator provides a composite market regime assessment through a weighted combination of multiple intermarket relationships. The indicator calculates normalized z-scores across several key market components including banks, volatility, the US dollar, credit spreads, interest rates, and alternative assets.
Each component is standardized using z-score methodology over a user-defined lookback period and combined according to configurable weighting parameters. The resulting composite measure provides a normalized assessment of the prevailing market environment, with the option to invert rate relationships for specific market regime conditions.
The indicator focuses on capturing the synchronized behavior across these interconnected market segments to provide a unified view of systemic market conditions.
rahulp33It is a 15-min high-low for the day; this will help the fellow chartist understand a trend emerging for the day. This indicator, along with others, gives a general sense of the daily trend, but it's not the sole factor to consider.
Bollinger Bands with ATR SL Hariss 369Bollinger Bands are a popular technical analysis tool developed by John Bollinger. They consist of three lines plotted on a price chart:
Middle Band – a simple moving average (usually 20 periods).
Upper Band – the middle band plus two standard deviations.
Lower Band – the middle band minus two standard deviations.
Key Features:
Volatility Indicator: The bands expand when volatility increases and contract when volatility decreases.
Trend Analysis: Prices near the upper band indicate overbought conditions, while prices near the lower band indicate oversold conditions.
Trading Signals: Traders often look for price touches, breaks, or rebounds from the bands to identify potential entries or exits.
To strengthen the trend quality RVOL has been considered. The ideal value of RVOL is 1.5
Higher Time Frame Trend filter gives trend clarity in higher time frame. One can select RVOL and HTF (Higher Time Frame) filter.
Bollinger bands indicator is basically a trend following indicator. We should go with the trend rather book profit @1:1 or 1:2 basis. In that case we might miss the long trend. The middle band is generally considered as stop loss. However, ATR based stop loss has been designed in the script in order to capture the volatility in decent way.
Break out signal is initiated on break out with volume taking higher time frame into consideration.
One can use this indicator in any time frame and any class of asset. To filter higher time frame eg. entry / exit 5 min chart, 15m/1h can be taken as higher time frame, for 1h entry/ exit, 4h can be taken as higher time frame trend filter.
Megvie Scalping C - Pullback EMA20/50 (3-5m) by Lynda//@version=5
indicator("Megvie Scalping C - Pullback EMA20/50 (3-5m)", overlay=true, max_labels_count=500, max_lines_count=500)
// === INPUTS ===
ema_fast_len = input.int(20, "EMA fast (pullback)")
ema_slow_len = input.int(50, "EMA slow (trend)")
rsi_len = input.int(14, "RSI length")
rsi_min = input.int(40, "RSI min for entry")
atr_len = input.int(14, "ATR length (for SL/TP)")
use_atr_for_sl = input.bool(true, "Use ATR for SL size")
atr_sl_mult = input.float(1.0, "SL = ATR * multiplier", step=0.1)
rr = input.float(1.8, "Risk:Reward (TP = SL * RR)", step=0.1)
max_signals_repeat = input.int(3, "Min bars between signals", minval=1)
// === INDICATORS ===
ema_fast = ta.ema(close, ema_fast_len)
ema_slow = ta.ema(close, ema_slow_len)
rsi = ta.rsi(close, rsi_len)
atr = ta.atr(atr_len)
plot(ema_fast, color=color.new(color.green, 0), title="EMA 20")
plot(ema_slow, color=color.new(color.red, 0), title="EMA 50")
// === TREND FILTER ===
trend_bull = ema_fast > ema_slow
trend_bear = ema_fast < ema_slow
// === PULLBACK CONDITION ===
// Consider a pullback when price traded at/under EMA20 within the last 3 bars and now shows a bullish/bearish confirmation
pullback_bull = ta.lowest(low, 3) <= ema_fast and close > ema_fast
pullback_bear = ta.highest(high, 3) >= ema_fast and close < ema_fast
// === CONFIRMATION CANDLE ===
// Bullish confirmation: current close > open AND close > high (strong close)
// Bearish confirmation: current close < open AND close < low
bullish_candle = close > open and close > high
bearish_candle = close < open and close < low
// === ENTRY SIGNALS (Version C logic) ===
buySignal = trend_bull and pullback_bull and rsi >= rsi_min and bullish_candle
sellSignal = trend_bear and pullback_bear and rsi <= (100 - rsi_min) and bearish_candle
// Prevent firing signals too often
var int lastSignalBar = na
ok_to_fire = na(lastSignalBar) ? true : (bar_index - lastSignalBar) > max_signals_repeat
buyFire = buySignal and ok_to_fire
sellFire = sellSignal and ok_to_fire
if buyFire
lastSignalBar := bar_index
if sellFire
lastSignalBar := bar_index
// === SL / TP CALCULATION ===
var float sl_price = na
var float tp_price = na
var line sl_line = na
var line tp_line = na
var label sig_label = na
if buyFire
if use_atr_for_sl
sl_price := close - atr * atr_sl_mult
else
sl_price := ta.lowest(low, 3) - syminfo.mintick * 5
tp_price := close + (close - sl_price) * rr
// draw lines and label
line.delete(sl_line )
line.delete(tp_line )
label.delete(sig_label )
sl_line := line.new(bar_index, sl_price, bar_index + 50, sl_price, color=color.new(color.red, 0), width=1, extend=extend.right)
tp_line := line.new(bar_index, tp_price, bar_index + 50, tp_price, color=color.new(color.green, 0), width=1, extend=extend.right)
sig_label := label.new(bar_index, low, "BUY SL:" + str.tostring(sl_price, format.mintick) + " TP:" + str.tostring(tp_price, format.mintick), style=label.style_label_up, color=color.new(color.green,0), textcolor=color.white, size=size.small)
if sellFire
if use_atr_for_sl
sl_price := close + atr * atr_sl_mult
else
sl_price := ta.highest(high, 3) + syminfo.mintick * 5
tp_price := close - (sl_price - close) * rr
// draw lines and label
line.delete(sl_line )
line.delete(tp_line )
label.delete(sig_label )
sl_line := line.new(bar_index, sl_price, bar_index + 50, sl_price, color=color.new(color.red, 0), width=1, extend=extend.right)
tp_line := line.new(bar_index, tp_price, bar_index + 50, tp_price, color=color.new(color.green, 0), width=1, extend=extend.right)
sig_label := label.new(bar_index, high, "SELL SL:" + str.tostring(sl_price, format.mintick) + " TP:" + str.tostring(tp_price, format.mintick), style=label.style_label_down, color=color.new(color.red,0), textcolor=color.white, size=size.small)
// === PLOT SIGNAL ARROWS ===
plotshape(buyFire, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text="BUY")
plotshape(sellFire, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text="SELL")
// === ALERTS ===
alertcondition(buyFire, title="BUY Signal", message="Megvie C: BUY signal. SL: {{plot_0}} TP: {{plot_1}}")
alertcondition(sellFire, title="SELL Signal", message="Megvie C: SELL signal. SL: {{plot_0}} TP: {{plot_1}}")
alertcondition(ta.cross(close, tp_price), title="TP Hit", message="Megvie C: TP reached")
alertcondition(ta.cross(close, sl_price), title="SL Hit", message="Megvie C: SL reached")
// === NOTES ===
// - Optimized for 3-5 minute charts.
// - Test in paper trading before using real capital.
// - Adjust ATR multiplier and RR to match your risk management.
Key Levels: PDH/L, PMH/L, Oopening RangeBasic scrip that shows Previous Day High and Low, and also Pre-Market High Lows, and also the Opening Range. Everything is adjustable.
Previous/Current Day High/Low/Open/Close LevelsThis Pine Script creates a TradingView indicator that displays key price levels from previous and current trading days. Here's what it does:
Main Features
Price Level Display:
Previous Day High (PDH) - Highest price from yesterday
Previous Day Low (PDL) - Lowest price from yesterday
Previous Day Close (PDC) - Closing price from yesterday
Current Day Open (DO) - Opening price of today
Intraday High (IDH) - Highest price reached so far today
Intraday Low (IDL) - Lowest price reached so far today
Key Settings
Days Back - Shows levels for the last 1-30 days (default: 5 days)
Line Extension - Projects lines forward beyond the current candle (default: 25 bars)
Toggle Controls - Turn each level on/off individually
Customizable Colors - Each level has its own color (red for highs, green for lows, etc.)
Labels - Optional text labels (PDH, PDL, etc.) positioned on left or right side
How It Works
The script draws horizontal lines at these key price levels throughout the trading day. Lines break at each new day to avoid connecting across sessions. Dashed connector lines extend to the labels for easy identification.
This is particularly useful for intraday traders who watch these levels for potential support/resistance zones and breakout opportunities.
RCV Essentials════════════════════════════════════════════
RCV ESSENTIALS - MULTI-TIMEFRAME & SESSION ANALYSIS TOOL
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📊 WHAT THIS INDICATOR DOES
This professional-grade indicator combines two powerful analysis modules:
1. TRADING SESSION TRACKER - Visualizes high/low ranges for major global market sessions (NY Open, London Open, Asian Session, etc.)
2. MULTI-TIMEFRAME CANDLE DISPLAY - Shows up to 8 higher timeframes simultaneously on your chart (15m, 30m, 1H, 4H, 1D, 1W, 1M, 3M)
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🎯 KEY FEATURES
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TRADING SESSIONS MODULE:
✓ Track up to 6 custom trading sessions simultaneously
✓ Real-time high/low range detection during active sessions
✓ Pre-configured for NYO (7-9am), LNO (2-3am), Asian Session (4:30pm-12am)
✓ 60+ global timezone options
✓ Customizable colors, labels, and transparency
✓ Daily divider lines (optional Sunday skip for traditional markets)
✓ Only displays on ≤30m timeframes for optimal clarity
MULTI-TIMEFRAME CANDLES MODULE:
✓ Display 1-8 higher timeframes with up to 10 candles each
✓ Real-time candle updates (non-repainting)
✓ Fully customizable colors (separate bullish/bearish for body/border/wick)
✓ Adjustable candle width, spacing, and positioning
✓ Smart label system (top/bottom/both, aligned or follow candles)
✓ Automatic timeframe validation (only shows TFs higher than chart)
✓ Memory-optimized with automatic cleanup
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🔧 HOW IT WORKS
════════════════════════════════════════════
TECHNICAL IMPLEMENTATION:
Session Tracking Algorithm:
• Detects session start/end using time() function with timezone support
• Continuously monitors and updates high/low during active session
• Finalizes range when session ends using var persistence
• Draws boxes using real-time bar_index positioning
• Maintains session ranges across multiple days for reference
Multi-Timeframe System:
• Uses ta.change(time()) detection to identify new MTF candle formation
• Constructs candles using custom Type definitions (Candle, CandleSet, Config)
• Stores OHLC data in arrays with automatic size management
• Renders using box objects (bodies) and line objects (wicks)
• Updates current candle every tick; historical candles remain static
• Calculates dynamic positioning based on user settings (offset, spacing, width)
Object-Oriented Architecture:
• Custom Type "Candle" - Stores OHLC values, timestamps, visual elements
• Custom Type "CandleSet" - Manages arrays of candles + settings per timeframe
• Custom Type "Config" - Centralizes all display configuration
• Efficient memory management via unshift() for new candles, pop() for old
Performance Optimizations:
• var declarations minimize recalculation overhead
• Conditional execution (sessions only on short timeframes)
• Maximum display limits prevent excessive object creation
• Timeframe validation at barstate.isfirst reduces redundant checks
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📈 HOW TO USE
════════════════════════════════════════════
SETUP:
1. Add indicator to chart (works best on 1m-30m timeframes)
2. Open Settings → "Trading Sessions" group
- Enable desired sessions (NYO, LNO, AS, or custom)
- Select your timezone from 60+ options
- Adjust colors and transparency
3. Open Settings → "Multi-TF Candles" group
- Enable timeframes (TF1-TF8)
- Configure each timeframe and display count
- Customize colors and layout
READING THE CHART:
• Session boxes show high/low ranges during active sessions
• MTF candles display to the right of current price
• Labels identify each timeframe (15m, 1H, 4H, etc.)
• Real-time updates on the most recent MTF candle
TRADING APPLICATIONS:
Session Breakout Strategy:
→ Identify session high/low (e.g., Asian session 16:30-00:00)
→ Wait for break above/below range
→ Confirm with higher timeframe candle close
→ Enter in breakout direction, stop at opposite side of range
Multi-Timeframe Confirmation:
→ Spot setup on primary chart (e.g., 5m)
→ Verify 15m, 1H, 4H candles align with trade direction
→ Only take trades where higher TFs confirm
→ Exit when higher TF candles show reversal
Combined Session + MTF:
→ Asian session establishes range overnight
→ London Open breaks Asian high
→ Confirm with bullish 15m + 1H candles
→ Enter long with stop below Asian high
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🎨 ORIGINALITY & INNOVATION
════════════════════════════════════════════
What makes this indicator original:
1. INTEGRATED DUAL-MODULE DESIGN
Unlike separate session or MTF indicators, this combines both in a single performance-optimized script, enabling powerful correlation analysis between session behavior and timeframe structure.
2. ADVANCED RENDERING SYSTEM
Uses custom Pine Script v5 Types with dynamic box/line object management instead of basic plot functions. This enables:
• Precise visual control over positioning and spacing
• Real-time updates without repainting
• Efficient memory handling via automatic cleanup
• Support for 8 simultaneous timeframes with independent settings
3. INTELLIGENT SESSION TRACKING
The algorithm continuously recalculates ranges bar-by-bar during active sessions, then preserves the final range. This differs from static zone indicators that simply draw fixed boxes at predefined levels.
4. MODULAR ARCHITECTURE
Custom Type definitions (Candle, CandleSet, Config) create extensible, maintainable code structure while supporting complex multi-timeframe operations with minimal performance impact.
5. PROFESSIONAL FLEXIBILITY
Extensive customization: 6 configurable sessions, 8 timeframe slots, 60+ timezones, granular color/sizing/spacing controls, multiple label positioning modes—adaptable to any market or trading style.
6. SMART VISUAL DESIGN
Automatic timeframe validation, dynamic label alignment options, and intelligent spacing calculations ensure clarity even with multiple timeframes displayed simultaneously.
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⚙️ CONFIGURATION OPTIONS
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TRADING SESSIONS:
• Session 1-6: On/Off toggles
• Time Ranges: Custom start-end times
• Labels: Custom text for each session
• Colors: Individual color per session
• Timezone: 60+ options (Americas, Europe, Asia, Pacific, Africa)
• Range Transparency: 0-100%
• Outline: Optional border
• Label Display: Show/hide session names
• Daily Divider: Dotted lines at day changes
• Skip Sunday: For traditional markets vs 24/7 crypto
MULTI-TF CANDLES:
• Timeframes 1-8: Enable/disable individually
• Timeframe Selection: Any TF (seconds to months)
• Display Count: 1-10 candles per timeframe
• Bullish Colors: Body/Border/Wick (independent)
• Bearish Colors: Body/Border/Wick (independent)
• Candle Width: 1-10+ bars
• Right Margin: 0-200+ bars from edge
• TF Spacing: Gap between timeframe groups
• Label Color: Any color
• Label Size: Tiny/Small/Normal/Large/Huge
• Label Position: Top/Bottom/Both
• Label Alignment: Follow Candles or Align
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📋 TECHNICAL SPECIFICATIONS
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• Pine Script Version: v5
• Chart Overlay: True
• Max Boxes: 500
• Max Lines: 500
• Max Labels: 500
• Max Bars Back: 5000
• Update Frequency: Real-time (every tick)
• Timeframe Compatibility: Chart TF must be lower than selected MTFs
• Session Display: Activates only on ≤30 minute timeframes
• Memory Management: Automatic cleanup via array operations
Session Markers - JDK AnalysisSession Markers is a tool designed to study how markets behave during specific, recurring time windows. Many traders know that price behaves differently depending on the day of the week, the time of the day, or particular market sessions such as the weekly open, the London session, or the New York open. This indicator makes those recurring windows visible on the chart and then analyzes what price typically does inside them. The result is a clear statistical understanding of how a chosen session behaves, both in direction and in strength.
The script works by allowing the trader to define any time window using a start day and time and an end day and time. Every time this window occurs on the chart, the indicator highlights it with a full-height vertical band. These visual markers reveal patterns that are otherwise difficult to detect manually, such as whether certain sessions tend to trend, reverse, consolidate, or create large imbalances. They also help the trader quickly scan through historical price action to see how the market has behaved under similar conditions.
For every completed session window, the indicator measures how much price changed from the moment the window began to the moment it ended. Instead of using raw price differences, it converts these changes into percentage moves. This makes the measurement consistent across different price ranges and market regimes. A one-percent move always has the same meaning, whether the asset is trading at 100 or 50,000. These percentage moves are collected for a user-selected number of past sessions, creating a dataset of how the market has behaved in the chosen time window.
Based on this dataset, the indicator generates several statistics. It counts how many past sessions closed higher and how many closed lower, producing a directional tendency. It also computes the probability of an upward session by dividing the number of positive sessions by the total. More importantly, it calculates the average percentage movement for all sessions in the lookback period. This average move reflects not just the direction but also the magnitude of price changes. A session with frequent small upward moves but occasional large downward moves will show a negative average movement, even if more sessions ended positive. This creates a more realistic representation of true market behavior.
Using this average movement, the script determines a “Bias” for the session. If the average percentage move is positive, the bias is considered bullish. If it is negative, the bias is bearish. If the values are very close to zero, the bias is neutral. This way, the indicator takes both frequency and impact into account, producing a magnitude-aware assessment instead of one that only counts wins and losses. A sequence such as +5%, –1% results in a bullish bias because the overall impact is strongly positive. On the other hand, a series of small gains followed by a large drop produces a bearish bias even if more sessions ended positive, because the large move dominates the average. This provides a far more truthful picture of what the market tends to do during the chosen window.
All relevant statistics are displayed neatly in a small panel in the top-right corner of the chart. The panel updates in real time as new sessions complete and older ones fall out of the lookback range. It shows how many sessions were analyzed, how many ended up or down, the probability of an upward move, the average percentage change, and the final bias. The background color of the panel instantly reflects that bias, making it easy to interpret at a glance.
To use the tool effectively, the trader simply needs to define a time window of interest. This could be something like the weekly opening window from Sunday to Monday, the London open each day, or even a unique custom window. After selecting how many past sessions to analyze, the indicator takes care of the rest. The vertical session markers reveal the structure visually. The statistics summarize the historical behavior objectively. The magnitude-weighted bias provides a realistic indication of whether the window tends to produce upward or downward movement on average.
Session Markers is helpful because it translates repeated market timing behavior into measurable data. It exposes hidden tendencies that are easy to feel intuitively but hard to quantify manually. By analyzing both direction and magnitude, it prevents misleading interpretations that can arise from looking only at win rates. It helps traders understand whether a session typically produces meaningful moves or just small noise, whether it tends to trend or reverse, and whether its behavior has recently changed. Whether used for bias building, session filtering, or deeper market research, it offers a structured framework for understanding the market through time-based patterns.
Smart Bottom Catcher @ Le DReversal strategy using recent lowest lows and a fast RSI. Long entries trigger on extreme drops, exits occur when RSI crosses a set threshold. Includes optional SMA55 filter and allows up to 3 pyramids.
ADR / $Volume DashboardSee 5 / 20 days ADR / Volume and price %age from low of day on top of the chart
2-Close + Bar 5 Reversal (Scan Ready)Bulkowski's Bullish 2-Step Reversal
Bar 1 Any price bar.
Bar 2 Price makes a low below bar 1 with a lower close, too.
Bar 3 Price has a low below bar 2 but a close above bar 1 (which will also be above bar 2's close). Bars 1 to 3 form a 2-close reversal pattern.
Bar 4 Makes a close below bar 3's close.
Bar 5 Has a low below bar 4 but closes above bars 3 and 4.
Breakout Breaks out upward 79% of the time in stocks.
From his page: thepatternsite.com
Gamma Levels w/AlertsPlots Gamma Levels for identifying Market Positioning. Has alert function on the specific levels.
---To apply to different tickers You Must:
1. apply to chart layout
2. input ticker specific levels
3. Save as an INDICATOR TEMPLATE titled same as ticker (check the remember symbol box)
Now when switching to different tickers, simply open that template
DeepClean Linear indicator 1. Indicator Name
DeepClean Linear indicator
2. One-Line Introduction
A trend-recognition indicator that overlays a “transparent wave” on price, removing noise and revealing directional bias and trend intensity in a highly intuitive visual form.
3. Overall Summary
The DeepClean Linear indicator calculates trend direction using changes in linear regression slope and determines trend strength by comparing how consistently the regression line moves over a defined lookback window.
Rather than merely identifying trend direction, the indicator applies a triple-layer noise-filtering process (EMA → SMA → RMA) to produce a clean, wave-shaped data line that filters out unnecessary market noise.
This transparent wave sits directly on top of price, allowing traders to visually compare price movement and trend strength at the same time.
A stronger trend results in a taller, thicker wave, while weakening momentum causes the wave to thin, making it easier to spot trend continuation, exhaustion, or upcoming reversal.
Color automatically shifts based on trend:
Bright cyan/teal during bullish conditions
Reddish tones during bearish conditions
Transparency dynamically adjusts depending on strength
The indicator excels at identifying the true underlying trend by ignoring minor fluctuations and is well suited for scalping, swing trading, and position trading.
It also significantly reduces false signals in ranging markets, making it ideal for trend-following strategies.
4. Advantages
① Ultra-Clean Noise-Reduced Wave
Utilizes a 3-stage smoothing filter (EMA → SMA → RMA) to produce a much cleaner wave than standard moving averages, highlighting only core trend movement.
② Trend Direction & Strength at a Glance
Based on comparative linear regression behavior, the indicator quantifies both direction and strength, making convergence/divergence highly visible.
③ Intuitive Price Overlay Visualization
The semi-transparent wave sits directly on price action, allowing traders to instantly see divergence from price, trend weakening, or early turning points.
④ Dynamic Transparency Coloring
Strong trends appear bold and intense, while weaker trends fade visually—making signal interpretation effortless.
⑤ Excellent Range Filtering
During low-direction phases (state = 0), the wave turns neutral, preventing forced or premature entries.
⑥ Multi-Timeframe Compatibility
The wave remains stable from 1-minute to weekly charts, making it suitable for trend analysis, execution, and risk control across all timeframes.
📌 Core Concept Overview
The indicator evaluates the relative comparison of linear regression values over the last n periods.
A positive trend value indicates bullish bias
A negative trend value indicates bearish bias
Intensity represents strength and controls wave height
waveTop / waveBot define the visual wave area relative to price
State Values
1 = Bullish Trend
-1 = Bearish Trend
0 = Neutral / Weak Direction
⚙️ Settings Overview
Option Description
Trend Lookback (n) Comparison window for regression slope. Higher = bigger trend focus.
Range Tolerance (%) Strength threshold to classify bullish/bearish movement. Higher = more conservative.
Source Price source for regression calculations.
Linear Reg Length Length of the linear regression.
Noise Filter Strength (smoothK) Controls the smoothing intensity. Higher = smoother wave.
Wave Amplitude (amp) Adjusts the height/thickness of the wave.
Bull/Bear Color Colors for bullish/bearish waves.
Base Transparency Base opacity level; modified dynamically by trend strength.
📈 Bullish Timing Recognition Examples
Wave begins turning brighter teal and more opaque, indicating strengthening upward pressure.
waveTop expands above price, signaling early trend expansion.
State flips to 1, often marking a trend restart or early reversal phase.
A steadily rising wave height suggests sustained bullish momentum.
📉 Bearish Timing Recognition Examples
Wave shifts into red tones, showing bearish dominance.
waveBot expands below price, indicating rising downside volatility.
State stays at -1 while intensity increases, signaling entry into strong downtrend conditions.
A shift from weak → strong bearish intensity can provide short-entry timing cues.
🧪 Recommended Usage
Use as a core component in trend-following systems
Adjust position size based on wave thickness (trend strength)
Combine with RSI/MACD to reduce false signals during overbought/oversold zones
Sudden wave expansion during volatility increases helps detect trend acceleration
In sideways markets, frequent state = 0 readings help avoid low-probability trades
🔒 Important Notes
As a trend-based indicator, it may misread choppy/ranging markets
Because of smoothing, signals may appear slightly delayed
Extreme news volatility can temporarily distort trend clarity
Kaufman Adaptive Moving Average (fixed TF)**Kaufman Adaptive Moving Average – fixed Timeframe version (Pine v5)**
This script is a Pine Script v5 adaptation of the original *Kaufman Adaptive Moving Average* by Alex Orekhov (everget), extended with the ability to calculate KAMA on a **fixed timeframe**. You can keep the calculation on your current chart timeframe or lock it to any higher timeframe (for example 1D on a 1H chart) and still display the line on your active chart.
KAMA automatically adjusts its smoothing based on price efficiency: it becomes faster in trending markets and slower in choppy ones. This version colors the line green/red depending on the direction of the KAMA on the **selected timeframe**, and includes an optional “await bar confirmation” setting to avoid reacting to still-forming bars.
**Main features**
* Original Kaufman Adaptive Moving Average logic (length, fast/slow EMA lengths, source input)
* Optional **fixed timeframe** input for the KAMA calculation (leave empty to use chart timeframe)
* Non-repainting higher-timeframe calculation using `request.security()`
* Dynamic color change (green/red) based on KAMA trend on the chosen timeframe
* Optional bar-confirmation filter for more conservative color changes
* Built-in alert on color change (trend shift)
**How to use**
1. Add the indicator to your chart.
2. Leave “KAMA Timeframe” empty to use the chart’s timeframe (standard KAMA).
3. Or set “KAMA Timeframe” to a higher TF (e.g. `60`, `240`, `D`, `W`) to overlay a higher-timeframe KAMA on a lower-timeframe chart.
4. Use the color changes or the alert to identify potential trend shifts in the selected timeframe while watching price action on your working timeframe.
Candlestick PatternsWhat It Does:
Automatically identifies and displays:
🟢 16+ Bullish patterns (Hammer, Engulfing ↑, Morning Star, etc.)
🔴 Bearish patterns (Shooting Star, Engulfing ↓, Evening Star, etc.)
🔵 Break & Retest signals (70-80% win rate setups)
⚪ Neutral patterns (Doji, Spinning Top - indecision)
🎯 Automatic alerts for all major patterns
Purpose: Shows you exactly when reversals are likely and identifies the highest-probability entry points (Break & Retest).Key Patterns:Bullish (Green labels above/below):
HAMMER - Long lower wick, small body (reversal from bottom)
ENGULF ↑ - Big green candle swallows previous red (strong reversal)
MORNING★ - Three candles: red, doji, green (major bottom)
3 BULLS - Three consecutive green candles (strong momentum)
PIERCE - Green closes above 50% of previous red
RETEST ↑ (BEST!) - Price broke resistance, pulled back, bounced (cyan circle)
Bearish (Red labels above/below):
SHOOT★ - Long upper wick, small body (reversal from top)
ENGULF ↓ - Big red candle swallows previous green (strong reversal)
EVENING★ - Three candles: green, doji, red (major top)
3 BEARS - Three consecutive red candles (strong momentum)
DARK☁ - Red closes below 50% of previous green
RETEST ↓ (BEST!) - Price broke support, bounced back, rejected (orange circle)
Neutral:
DOJI - Indecision, potential reversal coming
SPINNING TOP - Small body, long wicks (indecision)
Best Practices:✅ Wait for confirmation - Don't trade pattern alone, check context
✅ Combine patterns - Retest + Candlestick = 80%+ win rate
✅ Check trend - Bullish patterns in uptrend work best
✅ Volume matters - Larger patterns with volume = stronger
✅ Fresh retests - First retest after break = highest probability
✅ Use alerts - Set alerts for Engulfing, Retest, Morning/Evening Star
✅ Size matters - Bigger candles = stronger signals❌ Don't trade every pattern - Quality over quantity
❌ Don't ignore context - Hammer at resistance = weak signal
❌ Don't trade against trend - Bearish in strong uptrend = risky
❌ Don't skip stop loss - Always protect your trades
❌ Don't trade small patterns - Need clear, visible patterns
kira 3 mins scalp3-min Strict Scalping HA + PSAR + RSI + 1:2 RR
Purpose: 3-minute scalping using Heikin Ashi candles, Parabolic SAR, and RSI with strict entry rules and automatic 1:2 risk:reward.
Logic:
Entry: 3rd consecutive HA candle with no wick (bullish for buy, bearish for sell)
Filters:
Buy: PSAR below candle + RSI > 50
Sell: PSAR above candle + RSI < 50
SL & TP:
Buy SL: lowest low of last 3 candles
Buy TP: entry + 2×(entry−SL)
Sell SL: highest high of last 3 candles
Sell TP: entry − 2×(SL−entry)
Signals: Triangles plotted on chart; alerts available
Use: Apply on 3-min chart. Enter on 3rd candle meeting conditions; follow SL/TP for 1:2 RR.
Best Entry Swing MASTER v3 PUBLIC (S.S)Strategy Description (English)
Best Entry Swing MASTER v3 – Quality Mode
The Best Entry Swing MASTER v3 is a structured swing trading and trend-following strategy designed to identify high-probability long and short entries during directional markets.
It combines three core setup types commonly used by momentum and breakout traders:
Breakout (BO)
Pullback Reversal (PB)
Volatility Contraction Pattern (VCP)
The strategy applies multiple layers of confirmation, including multi-EMA trend structure, volatility contraction, volume filters, and an optional market regime filter.
It is suitable for swing trading on higher timeframes (4H, Daily), as well as medium-term trend continuation setups.
Core Concepts
1. Trend Structure
A trend is considered valid when:
Uptrend: Price > EMA20 > EMA50 > EMA100
Downtrend: Price < EMA20 < EMA50 < EMA100
In addition, a simple but effective trend-strength metric is calculated using the percentage spread between EMA20 and EMA100.
This helps avoid signals during sideways or low-volatility environments.
2. Market Regime Filter
The market environment is determined using a higher timeframe benchmark (default: SPY on Daily).
Only long trades are allowed in bullish market conditions
Only short trades in bearish conditions
This significantly reduces false signals in counter-trend conditions.
Entry Logic
Breakout (BO)
A long breakout triggers when:
Price closes above the highest high of the lookback period
Volume exceeds its 20-period average
Trend and market regime confirm
(Optional A+ mode): true volatility contraction is required
Similar logic applies for short breakdowns.
Pullback (PB)
A pullback entry triggers after:
At least two corrective candles
A strong reversal candle (close above previous high for long)
Volume confirmation
Price interacts with EMA20
This structure models classical trend-reentry conditions.
Volatility Contraction Pattern (VCP)
A VCP entry triggers when:
True range contracts over multiple bars
Price holds near the breakout zone
Volume contracts
Trend and market regime are aligned
This setup aims to capture explosive continuation moves.
Quality Modes
The strategy offers two modes:
Balanced Mode
Moderate signal frequency
Broader trend-strength allowance
Suitable for more active traders
A+ Only Mode
Strict confirmation requirements
Only high-quality setups with multiple confluences
Designed to avoid low-probability trades entirely
Risk Management
Risk is managed using an ATR-based stop and target:
Long SL = Close − ATR × 1.5
Long TP = Close + ATR × 3
(Equivalent logic for short positions)
This provides a balanced reward-to-risk profile and avoids overly tight stops.
Early Entry Signals (Optional)
The script offers optional “Early Entry” markers that highlight when a setup is forming but not yet confirmed.
These are not entry signals and are disabled by default for public use.
Intended Use
This strategy is designed for:
Swing trading
Momentum continuation
Trend-following
Multi-day to multi-week trades
It performs best on:
4H
Daily
High-liquidity equities, indices, and futures
Disclaimer
This script is intended for educational and research purposes.
Past performance does not guarantee future results.
Always backtest thoroughly and use appropriate risk management.
Vibha Jha TQQQ Clean Buy/Sell📈 Vibha Jha TEQQ Hybrid Strategy — Buy/Sell Signals
This script replicates the high-performance buy/sell methodology of Vibha Jha, one of the top money-manager performers in the U.S. Investing Championship (USIC). Her hybrid system generated triple-digit returns in both 2020 and 2021, and strong follow-up performance in 2023–2024 through a strict, rules-based combination of:
✔ CANSLIM-style market leadership tracking
✔ Position-trading fundamentals
✔ Rules-based swing trading using TQQQ/QQQ
✔ Tight entries & disciplined sells
✔ Market-timed exposure based on follow-through days, 21-EMA, and distribution clusters
🚀 What This Indicator Does
This indicator plots clean BUY and SELL signals based on Vibha’s core rule set:
BUY Signals
Three consecutive higher highs AND higher lows (her famous “3-day up” rule)
Strong up-day with rising volume
Designed to catch early trend reversals and early-stage rally attempts
SELL Signals
Two closes below the 21-day EMA
Three consecutive down days
Distribution cluster (4+ distribution days in the last 6 bars)
Captures exhaustion, weakening trend, and institutional selling
🧠 Why This Works
Vibha’s system is built on the reality that:
🔹 Markets give early warning before reversing
🔹 Momentum shifts appear before fundamentals
🔹 Distribution clusters precede pullbacks
🔹 3-day up patterns often kick off powerful rallies
🔹 TQQQ/QQQ respond clearly to technical signals
This indicator applies those insights directly to your chart—stocks, crypto, indices, or leveraged ETFs.






















