Trend Following Volatility TrailThe Trend Following Volatility Trail is a dynamic trend-following tool that adapts its stop, bias, and zones to real-time volatility and trend strength. Instead of using static ATR multiples like a normal Supertrend or Chandelier Stop, it continuously adjusts itself based on how stretched the market is and how persistent the trend has been.
This makes the system far more reactive during momentum phases and more conservative during consolidation, helping avoid fake flips and late entries.
How It Works
The indicator builds an adaptive trail around a smoothed price basis:
It starts with a short EMA as the “core trend line.”
It measures volatility expansion versus normal volatility.
It measures trend persistence by reading whether price has been rising or falling consistently.
These two components combine to adjust the ATR multiplier dynamically.
As volatility expands or the trend becomes more persistent, the bands widen. When volatility compresses or the trend weakens, the bands tighten.
These adaptive bands form the foundation of the trailing system.
Bull & Bear State Logic
The tool constantly tracks whether price is above or below the adaptive trail:
Price above the upper trail → Bullish regime
Price below the lower trail → Bearish regime
But instead of flipping immediately, it waits for confirmation bars to avoid noise. This greatly reduces whipsaws and keeps the focus on sustained moves.
Once a new regime is confirmed:
A coloured cloud appears (bull or bear)
A label marks the flip point
Alerts can be triggered automatically
Best Uses
Identifying regime shifts early
Riding sustained trends with confidence
Avoiding choppy markets by requiring confirmation
Using the adaptive cloud as a directional bias layer
Indicadores y estrategias
INMERELO EMA Reclaim HighlighterOverview
The INMERELO EMA Reclaim indicator highlights intraday candles reclaiming a configurable EMA on any timeframe. It identifies candles based on customizable candle geometry filters and confirms momentum using a custom MACD setup.
Features
Configurable Intraday EMA
Any EMA length and timeframe. Default: 6-period EMA on chart timeframe.
Highlights when price reclaims the EMA after a configurable number of prior closes below it.
Candle Geometry Filters (ORB-Style)
Open Position: Maximum position of open relative to candle range (0–1). Default: 0.40
Close Position: Minimum position of close relative to candle range (0–1). Default: 0.70
Body Fraction: Minimum body size relative to candle range. Default: 0.50
Custom MACD Filter
Fast line above slow line.
Configurable: Fast (default 6), Slow (default 20), Signal (default 9).
Prior Closes Below EMA Filter
Configurable minimum number of prior closes below EMA. Default: 2
Visual Options
Paint candle with configurable color.
Optional arrow display above reclaim candle (toggleable).
Flexible
Works on any intraday timeframe, including 5-minute, 2-minute, 15-minute, etc.
Settings Overview
Setting Default Notes
EMA Length 6 EMA used for reclaim detection
EMA Timeframe Chart TF Can be set to any intraday timeframe
Open ≤ 0.40 ORB-style filter
Close ≥ 0.70 ORB-style filter
Body Fraction 0.50 ORB-style filter
Min Prior Closes Below EMA 2 Minimum closes below EMA before reclaim
MACD Fast 6 Custom MACD fast line
MACD Slow 20 Custom MACD slow line
MACD Signal 9 Custom MACD signal line
Paint Candle True Highlights valid candles
Candle Color Lime Configurable
Show Arrow False Optional visual
Summary:
The INMERELO EMA Reclaim indicator identifies intraday candles reclaiming a configurable EMA, filtered by customizable candle geometry and MACD momentum. Visual options include painted candles and optional arrows, and all settings are fully configurable.
3TF Supertrend Resonance— 4H/1H/15m+ 3TP/SLMTF Supertrend — 4H / 1H / 15m Confluence + Dynamic TP/SL + Adaptive Trend/Range Filters
This script is a multi-timeframe Supertrend confluence system designed for traders who operate on lower timeframes (15m / 1m) but want higher-timeframe structure, trend confirmation, and dynamic TP/SL projections.
It combines 4H + 1H + 15m Supertrend, trend alignment detection, range filtering, and auto-projected risk-based targets, providing a complete directional framework for both scalping and intraday swing entries.
👉1. Multi-Timeframe Supertrend Framework (4H / 1H / 15m)
The script calculates Supertrend levels and direction on three major timeframes:
-4H Supertrend
-1H Supertrend
-15m Supertrend
Users can choose between:
-Confirmed HTF values (no repaint)
-Live HTF values (more sensitive but may repaint)
Each Supertrend level is plotted on the current chart as a horizontal line, extended far to the left and slightly to the right, with optional lightweight labels showing direction and price.
These levels function as HTF dynamic support/resistance during intraday trading.
👉2. Confluence Detection (4H = 1H = 15m)
A trend confluence occurs when:
-4H direction = 1H direction = 15m direction
When the three timeframes align:
A full-height vertical line marks the first candle of confluence (color-coded bullish/bearish).
An alert is triggered:
“Triple-TF Trend Confluence — First Candle”
This identifies the earliest moment when the market shifts into unified directional behavior.
👉3. Trend Background Coloring (15m + 1m)
When confluence is active:
-Bullish confluence → Green background
-Bearish confluence → Red background
Background visualization is applied on:
-15m timeframe (main directional chart)
-1m timeframe (scalping entries with HTF alignment)
This ensures lower-timeframe decisions always stay aligned with higher-timeframe direction.
👉4. Weak-Trend / Range Detection (Only on 15m)
Even if all three timeframes are aligned, momentum may be weak.
Range/weak-trend detection activates when:
-Confluence = true
-AND (ADX < threshold OR Choppiness > threshold)
On 15m charts:
A grey overlay appears, covering green/red confluence colors.
First candle entering range shows a vertical grey mark (optional).
Alert:
“Confluence but Weak Momentum — First Candle”
This identifies moments where the market is aligned but lacking trend strength — a “trend that doesn’t move.”
👉5. Dynamic TP/SL Projection (1.5R / 3R / 4.5R)
Using the current timeframe’s Supertrend as a structural stop-loss:
SL = current Supertrend line
Risk = | Close - SL |
The script auto-calculates:
TP1 = 1.5 × risk
TP2 = 3.0 × risk
TP3 = 4.5 × risk
All projected upward for bullish trends and downward for bearish trends.
Displayed visually:
Dotted short-range lines for SL, TP1, TP2, TP3
Lightweight left-side labels showing:
SL price + distance
Individual TP prices
This provides an immediate R-multiple framework for trade planning.
👉6. 15m Supertrend Flip Indicator (Minimalistic)
When the 15m Supertrend changes direction:
A tiny circle marker is plotted:
-Bullish flip → below the bar, green
-Bearish flip → above the bar, red
Alerts:
“15m ST Flip Up (Bear → Bull)”
“15m ST Flip Down (Bull → Bear)”
This highlights early shifts in short-term structure before confluence or major trend changes occur.
👉7. Alerts Included
The script provides alerts for:
-Triple-TF Trend Confluence — First Candle
-Weak Trend / Range Start
-15m Supertrend Flip Up
-15m Supertrend Flip Down
These are practical for automated notifications when key structural conditions appear.
Summary
This script provides:
✅ Higher-Timeframe Context
4H, 1H, and 15m Supertrend levels + direction.
✅ Directional Certainty
Triple-timeframe confluence with visual + alert confirmation.
✅ Smart Background Guidance
Color-coded trend zones for 15m & 1m.
✅ Range / Weak Trend Filtering
Avoid false trends using ADX + Choppiness.
✅ Actionable TP/SL Framework
Auto-projected 1.5R / 3R / 4.5R + SL lines based on Supertrend structure.
✅ Precise Intraday Signals
15m Supertrend flips marked with minimalistic dots.
Multi-Confluence Signal System📊 OPTIMIZED MULTI-CONFLUENCE SIGNAL SYSTEM
A professional-grade trading indicator that combines multiple technical analysis methods to generate high-probability buy and sell signals. Designed for daily timeframe Bitcoin/crypto trading with optimized parameters based on real market backtesting.
🎯 KEY FEATURES:
- Multi-Confluence Scoring (8 components) - Each signal shows strength rating
- Smart Top & Bottom Detection - Catches reversals using price action patterns
- Ichimoku Cloud Integration - Dynamic support/resistance visualization
- Dual EMA System (20/50) - Clear trend identification
- RSI + MACD + Volume Confirmation - Multi-indicator validation
- Signal Alternation - Only shows directional changes (no repeated signals)
- Minimal Bar Spacing - Prevents signal clustering and overtrading
✅ OPTIMIZED FOR:
- Catching parabolic tops with rejection wicks
- Identifying capitulation bottoms in downtrends
- Avoiding false signals during consolidation
- 4-8 quality signals per 4-month period on daily charts
- Works in both trending and volatile markets
🔧 TECHNICAL COMPONENTS:
- EMA 20/50 trend system
- RSI (14) with adjusted overbought/oversold levels (68/32)
- MACD for momentum confirmation
- Ichimoku Cloud for trend context
- Volume analysis (1.3x threshold)
- Candlestick pattern recognition (engulfing, hammers, shooting stars)
- Capitulation detection for extreme moves
- Price extension filters (±5-10% from EMAs)
⚠️ BEST PRACTICES:
- Optimized for Daily timeframe
- Combine with your own risk management
- Higher scores = higher probability trades
- Wait for signal confirmation on candle close
- Use in conjunction with key support/resistance levels
💡 SIGNAL LOGIC:
BUY signals trigger on: Capitulation candles, extreme oversold + reversal patterns, MACD turnarounds in downtrends, or high confluence scores with bullish patterns
SELL signals trigger on: Rejection wicks at tops, bearish engulfings with overbought RSI, parabolic extensions, MACD reversals, or high confluence scores with bearish patterns
📈 Created through iterative backtesting and optimization on Bitcoin price action from 2024-2025.
⭐ Free to use • Leave feedback • Happy trading!
Smart MA Crossover█ OVERVIEW
"Smart MA Crossover" is a technical analysis indicator designed to enhance the effectiveness of strategies based on MA crossovers, combining classic moving average crossovers with breakouts from boxes and dynamic trend visualizations. The indicator is fully customizable—you can freely adjust both parameters and graphical elements.
█ CONCEPTS
Trading approaches based solely on moving average crossover moments generate a large number of false signals. Smart MA Crossover was created to improve this statistic. That's why boxes are added, which are formed from the candle where the MA crossover occurred and generate signals only upon breakout from them. The boxes have bullish (green) and bearish (red) colors. By default, the show_only_matching filter is enabled, displaying entry signals only when the breakout direction matches the box color (e.g., only upward for a bullish box). Boxes are by default the size of the candle on which the crossover occurred, but their size can be adjusted to suit your strategy via an optional average candle size multiplier.
█ FEATURES
- Moving Averages: Two configurable MAs (fast_length, default 10; slow_length, default 30) with selectable type (SMA, EMA, WMA, HMA, VWMA). Optionally displayed with gradient fill between them (color depends on trend: green for uptrend, red for downtrend).
- MA Gradient and Candle Coloring: Enable gradient fill between MAs (transparency: gradient_opacity, default 85) and dynamic candle coloring based on trend (green/red).
- Fog Gradient Trend: Multi-layered gradient "fog" around hl2, consisting of 5 levels up and down, with offset based on average candle size (offset_mult, default 0.7) and increasing transparency (base_transp, default 80; transp_inc, default 4). Fog colors are dynamic (green/red).
- Breakout Boxes: Created at the moment of MA crossover, extending to the right. Box height optionally multiplied by average candle size (use_box_multiplier, box_multiplier, default 1.0). Boxes close and generate a signal when price breaks out beyond the top/bottom edge.
Signals:
- Triangles: Green downward triangles (buy breakout) below the bar, red upward triangles (sell breakout) above the bar—only on breakouts matching direction (if show_only_matching = true). When the matching filter is disabled, every box generates a signal based not on the MA crossover, but on the breakout direction.
- Labels: “BUY” (green, below bar) and “SELL” (red, iabove bar) with transparent background (transparency 40).
- Matching Filter: The show_only_matching option limits signals to breakouts consistent with box direction (bullish box → only buy, bearish → only sell).
- Visualization: Gradient MA lines, fill between MAs, multi-layered fog with increasing transparency, boxes with transparent background (85) and colored borders, dynamic trend colors.
- Alerts: Built-in alerts for BUY and SELL signals (with message including ticker and timeframe).
█ HOW TO USE
Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView.
Configure Settings:
- MA Settings: Adjust fast (fast_length, default 10) and slow (slow_length, default 30) MA lengths and type (ma_type, default SMA).
- Visualization: Enable/disable MA lines (show_ma_lines), MA gradient (use_gradient_ma), fog trend (show_fog), candle coloring (color_candles).
- Boxes and Breakouts: Enable candle size multiplier (use_box_multiplier) and set value (box_multiplier, default 1.0). Enable signal filter (show_only_matching).
- Signals: Choose type (signal_type): Triangles or Labels (Buy/Sell).
- Fog Trend: Adjust offset (offset_mult), base transparency (base_transp), and increment (transp_inc). Select trend colors (col_up, col_dn).
Signal Interpretation:
- Buy Signals: Green triangles below the bar or “BUY” label—on upward breakout from a bullish box (after bull cross).
- Sell Signals: Red triangles above the bar or “SELL” label—on downward breakout from a bearish box (after bear cross).
- Fog and Gradient: green fog/fill = uptrend; red = downtrend.
- Boxes: Active boxes indicate potential breakout zones; their closure confirms the move.
Signal Confirmation: Use with other tools, such as support/resistance levels, volume, or additional MAs to filter false crossovers.
█ APPLICATIONS
- MA Cross Strategies: Replace classic crossovers—boxes and breakouts eliminate many false signals, thereby increasing effectiveness. Confirm with other indicators, e.g., RSI, Fibonacci, FVG, pivot levels.
- Trend Following: Can be used as a classic trend indicator, especially with larger MA values.
█ NOTES
- Test the indicator across different timeframes and assets, adjusting MA lengths and box multiplier to market volatility.
- In consolidating markets, the indicator generates more false signals.
ENTRY CONFIRMATION V2// This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Zerocapitalmx
//@version=5
indicator(title="ENTRY CONFIRMATION V2", format=format.price, timeframe="", timeframe_gaps=true)
len = input.int(title="RSI Period", minval=1, defval=50)
src = input(title="RSI Source", defval=close)
lbR = input(title="Pivot Lookback Right", defval=5)
lbL = input(title="Pivot Lookback Left", defval=5)
rangeUpper = input(title="Max of Lookback Range", defval=60)
rangeLower = input(title="Min of Lookback Range", defval=5)
plotBull = input(title="Plot Bullish", defval=true)
plotHiddenBull = input(title="Plot Hidden Bullish", defval=false)
plotBear = input(title="Plot Bearish", defval=true)
plotHiddenBear = input(title="Plot Hidden Bearish", defval=false)
bearColor = color.red
bullColor = color.green
hiddenBullColor = color.new(color.green, 80)
hiddenBearColor = color.new(color.red, 80)
textColor = color.white
noneColor = color.new(color.white, 100)
osc = ta.rsi(src, len)
rsiPeriod = input.int(50, minval = 1, title = "RSI Period")
bandLength = input.int(1, minval = 1, title = "Band Length")
lengthrsipl = input.int(1, minval = 0, title = "Fast MA on RSI")
lengthtradesl = input.int(50, minval = 1, title = "Slow MA on RSI")
r = ta.rsi(src, rsiPeriod) // RSI of Close
ma = ta.sma(r, bandLength ) // Moving Average of RSI
offs = (1.6185 * ta.stdev(r, bandLength)) // Offset
fastMA = ta.sma(r, lengthrsipl) // Moving Average of RSI 2 bars back
slowMA = ta.sma(r, lengthtradesl) // Moving Average of RSI 7 bars back
plot(slowMA, "Slow MA", color=color.black, linewidth=1) // Plot Slow MA
plot(osc, title="RSI", linewidth=2, color=color.purple)
hline(50, title="Middle Line", color=#787B86, linestyle=hline.style_dotted)
obLevel = hline(70, title="Overbought", color=#787B86, linestyle=hline.style_dotted)
osLevel = hline(30, title="Oversold", color=#787B86, linestyle=hline.style_dotted)
plFound = na(ta.pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(ta.pivothigh(osc, lbL, lbR)) ? false : true
_inRange(cond) =>
bars = ta.barssince(cond == true)
rangeLower <= bars and bars <= rangeUpper
//------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low
oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Lower Low
priceLL = low < ta.valuewhen(plFound, low , 1)
bullCond = plotBull and priceLL and oscHL and plFound
plot(
plFound ? osc : na,
offset=-lbR,
title="Regular Bullish",
linewidth=1,
color=(bullCond ? bullColor : noneColor)
)
plotshape(
bullCond ? osc : na,
offset=-lbR,
title="Regular Bullish Label",
text=" EDM ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bullish
// Osc: Lower Low
oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Higher Low
priceHL = low > ta.valuewhen(plFound, low , 1)
hiddenBullCond = plotHiddenBull and priceHL and oscLL and plFound
plot(
plFound ? osc : na,
offset=-lbR,
title="Hidden Bullish",
linewidth=1,
color=(hiddenBullCond ? hiddenBullColor : noneColor)
)
plotshape(
hiddenBullCond ? osc : na,
offset=-lbR,
title="Hidden Bullish Label",
text=" EDM ",
style=shape.labelup,
location=location.absolute,
color=bullColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Regular Bearish
// Osc: Lower High
oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Higher High
priceHH = high > ta.valuewhen(phFound, high , 1)
bearCond = plotBear and priceHH and oscLH and phFound
plot(
phFound ? osc : na,
offset=-lbR,
title="Regular Bearish",
linewidth=1,
color=(bearCond ? bearColor : noneColor)
)
plotshape(
bearCond ? osc : na,
offset=-lbR,
title="Regular Bearish Label",
text=" EDM ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
//------------------------------------------------------------------------------
// Hidden Bearish
// Osc: Higher High
oscHH = osc > ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
// Price: Lower High
priceLH = high < ta.valuewhen(phFound, high , 1)
hiddenBearCond = plotHiddenBear and priceLH and oscHH and phFound
plot(
phFound ? osc : na,
offset=-lbR,
title="Hidden Bearish",
linewidth=1,
color=(hiddenBearCond ? hiddenBearColor : noneColor)
)
plotshape(
hiddenBearCond ? osc : na,
offset=-lbR,
title="Hidden Bearish Label",
text=" EDM ",
style=shape.labeldown,
location=location.absolute,
color=bearColor,
textcolor=textColor
)
Live 1H ATR(1) & ATR(5) on Lower TimeframesSynthetic 1-Hour ATR Indicator (on lower timeframe charts)
Reconstructs 1-hour candles on any lower timeframe (like 5m or 15m):
Tracks open, high, low, close for the current 1-hour period.
Updates high and low live as new lower timeframe bars arrive.
Tracks completed 1-hour True Ranges (TRs):
Stores TRs of past 1-hour bars in an array (tr_hist).
Keeps the last 50 completed hourly TRs for ATR calculation.
Computes the current (live) TR:
Calculates the TR of the in-progress 1-hour candle relative to the last completed hour’s close.
Updates on every lower timeframe bar, so ATR values reflect live volatility.
Calculates ATR(1) and ATR(5):
ATR(1) = most recent TR (current hour).
ATR(5) = average of the last 5 TRs (current + last 4 completed hours).
Plots ATR lines in a separate indicator pane:
Green line = ATR(1)
Orange line = ATR(5)
Background coloring for volatility detection:
Checks New York time using timestamp("America/New_York", ...).
Between 09:20 and 09:30 NY time, calculates ATR ratio = ATR(1)/ATR(5).
Turns the background red if ATR(1) is ≤ 65% or ≥ 165% of ATR(5).
Semi-transparent red (opacity=80) so it doesn’t block the chart.
Designed for lower timeframe charts:
Allows you to read 1-hour ATRs on a 5m chart.
Works live, updating with every lower timeframe bar.
Smart Trail Signals NO CONDITIONSSmart Trail Signals Indicator
Overview
This is a trend-following indicator that uses a dynamic trailing stop system to identify bullish and bearish trends. It adapts to market volatility using ATR (Average True Range) and provides visual signals when the trend direction changes.
Core Components
Smart Trail System:
Calculates dynamic support (trail_up) and resistance (trail_down) levels
Adjusts trail levels based on price movement and volatility
Maintains trend direction until price crosses the opposite trail level
Key Parameters:
Length (14): Period for ATR calculation
Multiplier (2.0): Distance of trail from price relative to ATR
Sensitivity (1-5): Fine-tunes how quickly the trail adapts to price changes
How It Works
Trend Detection: Monitors whether price is above the support trail (bullish) or below the resistance trail (bearish)
Trail Movement:
In uptrends: Support trail rises with price but never decreases
In downtrends: Resistance trail falls with price but never increases
Signals: Diamond shapes appear when trend flips:
Green diamond below bar = bullish trend change
Red diamond above bar = bearish trend change
Visual Aids:
Trail line changes color (lime for uptrend, red for downtrend)
Candles colored green (bullish), red (bearish), or gray (neutral)
Best Use Cases
Identifying trend reversals on any timeframe
Following strong directional moves
Setting dynamic stop-loss levels
Works 24/7 on all instruments (stocks, crypto, forex)
RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
Impulse Trend Suite (LITE) source🚀 Impulse Trend Suite (LITE version) — Simple, Accurate, Powerful
A lightweight yet precise trend suite for any symbol and any timeframe. Designed to keep your chart clean while giving you what matters: direction, timing, and confidence. Great for intraday scalping, swing trading, or longer holds.
✨ What You Get in LITE
Clear Entry Points — single arrow printed only at trend change (no spam).
Background Zones — continuous, gap-free trend shading (green = uptrend, red = downtrend).
ATR Bands + Adaptive Baseline — contextual volatility & mean reference.
Trend Panel — “CURRENT TREND DIRECTION” banner (UPTREND / DOWNTREND / NEUTRAL).
Minimal Noise — arrows only when trend flips; no clutter, no repeated shapes.
Inputs: Baseline length, ATR length & multiplier, RSI & MACD lengths, show/hide bands, shading, and arrows.
Under the hood: LITE blends ATR, an adaptive baseline, and momentum filters (RSI + MACD histogram) to confirm thrust and suppress weak moves. Signals trigger only on state change to keep focus on quality over quantity.
🛠️ How to Use
When the background turns green and a BUY arrow appears, you have a potential long setup.
Stay in the trade while the background remains green and price respects the baseline/ATR context.
When a SELL arrow prints and the background flips red, consider exiting or reversing.
Tip: For short-term trading, start with ATR Multiplier = 2.0 and Baseline = 50. Increase the baseline length for smoother trend following; decrease it to react faster.
👉 In the screenshots we used the default settings on the EUR/USD M15 timeframe to demonstrate how the tool looks and works right out of the box.
🧩 Inputs Explained
Adaptive Baseline Length — EMA that anchors the trend.
ATR Length & Multiplier — volatility channel; helps avoid chasing noise.
RSI/MACD Lengths — momentum confirmation to filter weak impulses.
Show ATR Bands — visualize volatility envelope for context.
Background Shading — always-on fill (no black gaps) to read trend at a glance.
Show Entry Arrows — single arrow on the exact trend flip bar.
🆚 LITE vs PRO
Feature comparison:
Trend shading + panel: LITE ✅ | PRO ✅
Entry arrows (de-duplicated): LITE ✅ | PRO ✅ + more filters
Visual & audio alerts: LITE — | PRO ✅
Graphical Reversal Zones (with suggested SL context): LITE — | PRO ✅
HTF confirmation & noise filters: LITE — | PRO ✅
Ready-made strategies (detailed docs): LITE — | PRO ✅
PRO strategies included:
Trend Continuation — follow the impulse + HTF confirm.
Reversal Zones — timing turns with visual boxes & suggested stop areas.
Hybrid — enter with continuation logic, manage with reversal zones.
Upgrade to the full professional toolkit (+ PDF on price patterns & candlesticks):
fxsharerobots.com
📈 Works On
Forex, Indices, Commodities, Crypto, Stocks
Scalping (1–5m), Intraday (15m–1h), Swing (4h–D1+)
Note: Volatility differs by market. If you see too many flips, raise the Baseline length or ATR multiplier; if it reacts too slowly, lower them.
✅ Best Practices
Trade in the direction of the active background.
Use ATR bands / structure to define risk and place stops logically.
Avoid over-fitting — start with defaults, then tune slightly for your market/timeframe.
Add session/time filters or HTF bias (available in PRO) for extra selectivity.
📚 Documentation & More Tools
PRO version & user guide: fxsharerobots.com
All downloads (indicators, EAs, toolkits): fxsharerobots.com
⚠️ Disclaimer
Trading involves risk. This script is for educational purposes and does not constitute financial advice. Past performance does not guarantee future results. Always test and manage risk responsibly.
Happy trading & many pips!
— FxShareRobots Team 🌟
chanlun缠论 - 笔与中枢Overview
The Chanlun (缠论) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (笔) and "central hubs" (中枢), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones.
Theoretical Foundation
Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures:
Local Extremes: Swing highs and lows identified through lookback periods
Strokes (笔): Valid price movements between opposite extremes that meet specific criteria
Central Hubs (中枢): Consolidation zones formed by overlapping strokes, representing key support/resistance areas
Key Components
1. Local Extreme Detection
Identifies swing highs and lows using a configurable lookback period (default: 5 bars)
Only considers extremes within the specified calculation range
Forms the foundation for stroke construction
2. Stroke (笔) Identification
The indicator applies a multi-stage filtering process to identify valid strokes:
Stage 1 - Extreme Consolidation:
Merges consecutive extremes of the same type (high or low)
Keeps only the most extreme value (highest high or lowest low)
Stage 2 - Stroke Validation:
Ensures minimum bar gap between strokes (default: 4 bars)
Alternative validation: 2+ bars with >1% price change
Eliminates noise and insignificant price movements
Color Coding:
White Lines: Regular up/down strokes
Yellow Lines: Strokes that form part of a central hub
Customizable width and colors for different stroke types
3. Central Hub (中枢) Formation
A central hub forms when at least 3 consecutive strokes have overlapping price ranges:
Formation Rules:
Stroke 1:
Stroke 2:
Stroke 3:
Hub Upper = MIN(High1, High2, High3)
Hub Lower = MAX(Low1, Low2, Low3)
Valid if: Hub Upper > Hub Lower
Hub Extension:
Subsequent strokes that overlap with the hub extend it
Hub ends when a stroke no longer overlaps
Creates rectangular zones on the chart
Visual Representation:
Green rectangular boxes: Mark the time and price range of each central hub
Dashed extension lines: Show the latest hub boundaries extending to the right
Price labels on axis: Display exact hub upper and lower boundary values
4. Extreme Point Markers (Optional)
Red markers for tops (▼)
Green markers for bottoms (▲)
Marks every validated stroke extreme point
Useful for detailed structure analysis
5. Information Table (Optional)
Displays real-time statistics:
Symbol name
Current timeframe
Lookback period setting
Minimum gap setting
Total stroke count
Parameter Settings
Performance Settings
Max Bars to Calculate (3600): Limits historical calculation to improve performance
Local Extreme Lookback Period (5): Bars used to identify swing highs/lows
Min Gap Bars (4): Minimum bars required between valid strokes
Display Settings
Show Strokes: Toggle stroke line visibility
Show Central Hub: Toggle hub box visibility
Show Hub Extension Lines: Toggle dashed boundary lines
Show Extreme Point Marks: Toggle top/bottom markers
Show Info Table: Toggle statistics table
Color Settings
Full customization of:
Up/down stroke colors and widths
Hub stroke colors and widths
Hub border and background colors
Extension line colors
Trading Applications
Trend Structure Analysis
Uptrend: Series of higher highs and higher lows connected by strokes
Downtrend: Series of lower highs and lower lows connected by strokes
Consolidation: Formation of central hubs indicating range-bound movement
Support and Resistance Identification
Central Hub Zones: Act as strong support/resistance areas
Hub Upper Boundary: Resistance level in consolidation, support after breakout
Hub Lower Boundary: Support level in consolidation, resistance after breakdown
Price tends to react at these levels due to market structure memory
Breakout Trading
Bullish Breakout: Price closes above hub upper boundary
Previous resistance becomes support
Entry on retest of upper boundary
Stop loss below hub zone
Bearish Breakdown: Price closes below hub lower boundary
Previous support becomes resistance
Entry on retest of lower boundary
Stop loss above hub zone
Reversal Detection
Hub Formation After Trend: Signals potential trend exhaustion
Multiple Hub Levels: Create probability zones for reversals
Stroke Count: Excessive strokes within hub suggest weakening momentum
Position Management
Use hub boundaries for stop loss placement
Scale out positions at hub edges
Re-enter on retests of broken hub levels
Interpretation Guide
Strong Trending Market
Long, clear strokes with minimal overlap
Few or no central hubs forming
Strokes consistently in same direction
Wide spacing between extremes
Consolidating Market
Multiple central hubs forming
Short, overlapping strokes
Yellow hub strokes dominate the chart
Narrow price range
Trend Transition
Hub formation after extended trend
Stroke direction changes frequently
Hub boundaries being tested repeatedly
Potential reversal zone
Advanced Usage Techniques
Multi-Timeframe Analysis
Higher Timeframe: Identify major hub zones for overall market structure
Lower Timeframe: Find precise entry points within larger structure
Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks
Hub Quality Assessment
Wide Hubs: Strong consolidation, higher probability support/resistance
Narrow Hubs: Weak consolidation, may break easily
Extended Hubs: More strokes = stronger zone
Isolated Hubs: Single hub = potential pivot point
Stroke Analysis
Stroke Length: Longer strokes = stronger momentum
Stroke Speed: Fewer bars per stroke = explosive moves
Stroke Clustering: Many short strokes = indecision
Best Practices
Parameter Optimization
Adjust lookback period based on timeframe and volatility
Lower periods (3-4): More strokes, more noise, faster signals
Higher periods (7-10): Fewer strokes, cleaner structure, slower signals
Confirmation Strategy
Don't trade on strokes alone
Combine with volume analysis
Use candlestick patterns at hub boundaries
Wait for breakout confirmation
Risk Management
Always place stops outside hub zones
Use hub width to size positions (wider hub = smaller position)
Exit if price re-enters broken hub from wrong direction
Avoid Common Pitfalls
Don't trade within central hubs (range-bound, unpredictable)
Don't ignore higher timeframe hub structures
Don't chase strokes after they've extended far from hub
Don't trust single-stroke hubs (need 3+ strokes for validity)
Performance Considerations
Max Bars Limit: Set to 3600 to balance detail with performance
Safe Distance Calculation: Only draws objects within 2000 bars of current price
Object Cleanup: Automatically removes old drawing objects to prevent memory issues
Efficient Arrays: Uses indexed arrays for fast lookup and processing
Ideal Market Conditions
Best Performance:
Liquid markets with clear structure (major forex pairs, indices, large-cap stocks)
Trending markets with periodic consolidations
Medium to high volatility for clear stroke formation
Less Effective:
Extremely choppy, directionless markets
Very low timeframes (< 5 minutes) with excessive noise
Illiquid instruments with erratic price action
Integration with Other Indicators
Complementary Tools:
Volume Profile: Confirm hub significance with volume nodes
Moving Averages: Use for trend bias within stroke structure
RSI/MACD: Momentum confirmation at hub boundaries
Fibonacci Retracements: Hub levels often align with Fib levels
Advantages
✓ Objective Structure: Removes subjectivity from market structure analysis
✓ Visual Clarity: Color-coded strokes and clear hub zones
✓ Multi-Timeframe Applicable: Works on all timeframes from minutes to months
✓ Complete Framework: Provides entry, exit, and risk management levels
✓ Theoretical Foundation: Based on proven Chan Theory methodology
✓ Customizable: Extensive parameter and visual customization options
Limitations
⚠ Learning Curve: Requires understanding of Chan Theory principles
⚠ Lag Factor: Strokes confirm after price movements complete
⚠ Parameter Sensitivity: Different settings produce significantly different results
⚠ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions
⚠ Computation Intensive: May slow down on lower-end systems with max bars setting
Optimization Tips
Timeframe Selection
Scalping: 5-15 minute charts, lookback period 3-4
Day Trading: 15-60 minute charts, lookback period 4-5
Swing Trading: 4-hour to daily charts, lookback period 5-7
Position Trading: Daily to weekly charts, lookback period 7-10
Volatility Adjustment
High volatility: Increase minimum gap bars to reduce noise
Low volatility: Decrease lookback period to capture smaller moves
Visual Optimization
Use contrasting colors for different market conditions
Adjust line widths based on chart resolution
Toggle markers off for cleaner appearance once familiar with structure
Quick Start Guide
For Beginners:
Start with default settings (5 lookback, 4 min gap)
Enable "Show Info Table" to track stroke count
Focus on identifying clear hub formations
Practice waiting for price to break hub boundaries before trading
For Advanced Users:
Optimize lookback and gap parameters for your instrument
Use hub strokes (yellow) to identify key consolidation zones
Combine with multiple timeframes for confirmation
Develop entry rules based on hub breakout/retest patterns
This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Pivot Points High Low & Missed Reversal Levels + Alertsmake alert if there come a new high and low, best in 15 min and pivot go from 50 to 15
Engulfing Candlestick Pattern - BB FilterBeen working on doing a better version of this. This is like version 2.0. Usese this definition of an engulfing candle:
tradeciety.com/how-to-trade-the-engulfing-candlestick-pattern
As you change the parameters of the Bollinger band the signals will change.
You can also set the distance away from the band using ATR muliplier to catch moves near the BB.
Per Claude,
This setup should give you much higher quality signals since you're filtering for engulfing patterns that occur at the extremes of the Bollinger Bands - exactly like the Tradeciety article recommends. Those are the setups with the best context and highest probability.
A few tips for using it:
You can adjust the BB Touch Distance slider if you want to be stricter or more lenient about what counts as "touching" the bands
Try enabling Strict Mode if you want only the strongest engulfing patterns (where the full range including wicks is engulfed)
Works great on higher timeframes like Daily and Weekly for the most reliable signals on NQ and ES
I personally use this on the 1000 tick NQ chart.
It's not perfect but 2x better than my first attempt. Enjoy.
Open to suggestions as well.
For entertainment purposes only.
Trend-S&R-WiP11-15-2025: This new indicator is my 5/15-Min-ORB-Trend-Finder-WiP indicator simplified to only have:
> Market Open
> 5-Min & 15-Min High/Low
> Support/Resistance lines
> Fair Value Gaps (FVGs)
> a Trend Line
> a Trend table
Recommended to be used with my other indicator: Buy-or-Sell-WiP
Strategy:
> I only trade one ticker, SPX, with ODTE CALL/PUT Credit Spreads
> use Break & Retest with 5-Min High/Low or 15-Min High/Low or FVGs
> 📈 Bullish Trend
Trade: PUT Credit Spread
Trend Confirmations:
Trend Line is green
MACD Histogram is green
Price Condition: Nearest resistance 8-10 points above market price
> 📉 Bearish Trend
Trade: CALL Credit Spread
Trend Confirmations:
Trend Line is purple
MACD Histogram is red
Price Condition: Nearest support 8-10 points below market price
> Fair Value Gaps (FVGs)
- Trade anytime during the day using Break & Retest and all indicator confirmations shown above
Simple HEMAs Color(MTF)Simple HEMAs, MTF for both fast and slow HEMA and color selection for multimple use.
Market Extreme Zones IndexThe Market Extreme Zones Index is a new mean reversion (valuation) tool focused on catching long term oversold/overbought zones. Combining an enhanced RSI with a smoothed Z-score this indicator allows traders to find oppurtunities during highly oversold/overbought zones.
I will separate the explanation into the following parts:
1. How does it work?
2. Methodologies & Concepts
3. Use cases
How does it work?
The indicator attempts to catch highly unprobable events in either direction to capture reversal points over the long term. This is done by calculating the Z-Score of an enhanced RSI.
First we need to calculate the Enhanced RSI:
For this we need to calculate 2 additional lengths:
Length1 = user defined length
Length2 = Length1/2
Length3 = √Length
Now we need to calculate 3 different RSIs:
1st RSI => uses classic user defined source and classic user defined length.
2nd RSI => uses classic user defined source and Length 2.
3rd RSI => uses RSI 2 as source and Length 2
Now calculate the divergence:
RSI_base => 2nd RSI * 3 - 1st RSI - 3rd RSI
After this we need to calculate the median of the RSI_base over √Length and make a divergence of these 2:
RSI => RSI_base*2 - median
All that remains now is the Z-score calculations:
We need:
Average RSI value
Standard Deviation = a measure of how dispersed or spread out a set of data values are from their average
Z-score = (Current Value - Average Value) / Standard Deviation
After this we just smooth the Z-score with a Weighted Moving average with √Length
Methodology & Concepts
Mean Reversion Methodology:
The methodology behind mean reversion is the theory that asset prices will eventually return to their long-term average after deviating significantly, driven by the belief that extreme moves are temporary.
Z-Score Methodology:
A Z-score, or standard score, is a statistical measure that indicates how many standard deviations a data point is from the mean of a dataset. A positive z-score means the value is above the mean, a negative score means it's below, and a score of zero means the value is equal to the mean.
You might already be able to see where I am going with this:
Z-Score could be used for the extreme moves to capture reversal points.
By applying it to the RSI rather than the Price, we get a more accurate measurement that allow us to get a banger indicator.
Use Cases
Capturing reversal points
Trend Direction
- while the main use it for mean reversion, the values can indicate whether we are in an uptrend or a downtrend.
Advantages:
Visualization:
The indicator has many plots to ensure users can easily see what the indicator signals, such as highlighting extreme conditions with background colors.
Versatility:
This indicator works across multiple assets, including the S&P500 and more, so it is not only for crypto.
Final note:
No indicator alone is perfect.
Backtests are not indicative of future performance.
Hope you enjoy Gs!
Good luck!
Dynamic Liquidity Levels [CDC Trading LABN] (ENGLISH)Script Description :
Take your market structure and liquidity analysis to the next level with Dynamic Liquidity Levels, a professional-grade tool designed to visualize the key levels that truly move the price. This indicator doesn't just plot static lines; it offers a dynamic framework that reacts to price action in real-time, keeping your chart clean and focused on what matters.
Designed for scalpers and swing traders alike, this indicator is your map for navigating market liquidity.
Key Features
• Smart Dynamic Lines: The standout feature of this indicator. Lines automatically stop extending once price has "invalidated" them. You decide whether the break occurs on a simple wick touch (to capture liquidity grabs) or a full candle close beyond the level (for a stronger confirmation).
• Comprehensive Liquidity Levels: Automatically draws the most important liquidity pools that professional traders watch every day:
• HTF Levels: Previous Day, Week, and Month Highs & Lows (PDH/L, PWH/L, PMH/L).
• Session Levels: Asian, London, and New York Session Highs & Lows (ASH/L, LSH/L, NYH/L).
• Full Label Control: Forget about overlapping labels. Adjust the position of each label individually (Left, Right, Center, Upper, Lower) for perfect visual clarity in any market condition.
• Instant, Configurable Alerts: Never miss an opportunity. Set up alerts that trigger the moment a level of your choice is broken, helping you execute your trades with precision.
• Clean & Professional Visualization: Fully customizable. Adjust colors, line width, and decide whether to display exact prices in the labels for an analysis setup tailored to your style.
Who is This Indicator For?
This tool is essential for a wide range of trading methodologies:
• Smart Money Concepts (SMC) & ICT Traders: Perfect for identifying liquidity pools and draw on liquidity levels. Use it to frame your order blocks and points of interest.
• Candle Range Theory (CRT) Traders: This indicator automates the core of your analysis. It identifies and projects the key candle ranges from higher timeframes (Daily, Weekly, Monthly) and trading sessions. Use these levels to anticipate price expansion and identify liquidity targets above and below established ranges, without manual markup every day.
• Price Action Traders: Clearly and automatically visualize the most relevant support and resistance levels based on high-timeframe market structure.
• Day Traders & Scalpers: Make quick decisions based on previous day's levels and session highs/lows, which act as magnets for intraday price.
• Swing Traders: Use the weekly and monthly levels to get a macro view of the structure and plan longer-term trades.
How to Use
1. Add the indicator to your chart.
2. Explore the settings panel to enable the levels and alerts that fit your trading plan.
3. Adjust the label positions for maximum clarity.
4. To receive alerts, right-click on the chart, create a new alert, select the indicator from the dropdown, and choose the "Any alert() function call" option.
We hope this tool greatly helps you improve your market analysis.
Happy trading!
CDC Trading LABN
CandelaCharts - Trend Oscillator 📝 Overview
Trend Oscillator is a simple yet effective trend identification tool that uses the relationship between two exponential moving averages (EMAs) to determine market direction. It calculates the spread between a fast and slow EMA, applies a bias multiplier, and smooths the result to produce a clean oscillator that oscillates above and below a zero line. When the oscillator is above zero, the trend is considered bullish (upward); when below zero, it's bearish (downward). The indicator provides clear visual feedback through color-coded plots and optional price bar coloring, making it easy to identify trend direction at a glance.
📦 Features
This section highlights the core capabilities you'll rely on most.
Dual EMA system — Uses a fast EMA (default 9) and slow EMA (default 21) to capture trend momentum and direction.
Bias multiplier — Applies a small multiplier (default 1.001) to the EMA spread, providing a slight bias that helps filter noise and confirm trend strength.
Smoothed output — Applies an additional EMA smoothing (default 5 periods) to the raw spread, creating a cleaner, less choppy oscillator line.
Zero-line reference — Plots a horizontal zero line that serves as the critical threshold between bullish and bearish conditions.
Color-coded visualization — Automatically colors the oscillator line green/lime when bullish (above zero) and red when bearish (below zero).
Price bar coloring — Optional feature to color price bars based on the current trend direction, providing immediate visual context on the main chart.
Customizable parameters — Adjust EMA lengths, bias multiplier, smoothing period, and colors to match your trading style and timeframe.
⚙️ Settings
Use these controls to fine-tune the oscillator's sensitivity, appearance, and behavior.
Fast EMA Length — Period for the fast exponential moving average (default: 9). Lower values make the indicator more responsive to price changes.
Slow EMA Length — Period for the slow exponential moving average (default: 21). Higher values create a smoother baseline for trend identification.
Bias Multiplier — Multiplier applied to the EMA spread (default: 1.001). Small adjustments can help filter minor whipsaws and confirm trend strength.
Smoothing Length — Period for smoothing the raw spread calculation (default: 5). Higher values create a smoother oscillator line but may lag price action.
Colors — Set the bullish (default: lime) and bearish (default: red) colors for the oscillator line.
Color Price Bars — Toggle to enable/disable coloring of price bars based on the current trend direction.
⚡️ Showcase
Oscillator Line
Bar Coloring
Divergences
📒 Usage
Follow these steps to effectively use Trend Oscillator for trend identification and trading decisions.
1) Select your timeframe — The indicator works across all timeframes, but higher timeframes (daily, weekly, monthly) typically provide more reliable trend signals with less noise. Lower timeframes (1m, 5m, 15m) may produce more frequent but potentially less reliable signals. Consider your trading style: swing traders benefit from daily/weekly charts, while day traders can use 15m/1h timeframes. Always align the indicator's sensitivity with your timeframe choice.
2) Adjust EMA lengths — The default 9/21 combination works well for most cases. For faster signals, try 5/13; for slower, more conservative signals, try 12/26 or 20/50. Match the lengths to your trading style and timeframe.
3) Interpret the zero line — When the oscillator is above zero (green/lime), the trend is bullish. When below zero (red), the trend is bearish. The further from zero, the stronger the trend.
4) Watch for crossovers — Trend changes occur when the oscillator crosses the zero line. A cross from below to above indicates a shift to bullish; from above to below indicates a shift to bearish.
5) Identify divergences — Divergences can signal potential trend reversals. Bullish divergence : price makes lower lows while the oscillator makes higher lows (suggests weakening bearish momentum). Bearish divergence : price makes higher highs while the oscillator makes lower highs (suggests weakening bullish momentum). Divergences are most reliable when they occur near extreme levels and should be confirmed with price action before taking trades.
6) Use smoothing wisely — The smoothing parameter helps reduce noise but adds lag. Lower smoothing (3-5) is more responsive; higher smoothing (7-10) is more stable but slower to react.
7) Combine with price action — Use the oscillator to confirm trend direction, then look for entry opportunities when price pulls back in the direction of the trend. The optional price bar coloring helps visualize trend alignment on the main chart.
8) Filter with bias multiplier — The bias multiplier can help reduce false signals. Experiment with values between 1.000 and 1.005 to find the sweet spot for your instrument and timeframe.
🚨 Alerts
There are no built-in alerts in this version.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Bullish ATR Level indicatorThis indicator is used by OVTLYR Golden Ticket Trading strategy to determine the stop loss and option rollover levels. Super simple indicator that just shows the current price, -1/2 ATR for a stop loss and 1 and 2 ATR levels for possible take profit or option rollover points.
ORB + FVG w Alerts ORB for chart timeframe. Draws FVG for breakout move or first FVG to form after close outside of ORB. Also draws FVGs if price closes back inside the ORB after closing outside the ORB.
Inspired by Casper SMC on YouTube. Not perfect, but it helps me focus on this set-up.
SuperTrend MA Fusion [CNU]SuperTrend MA Fusion is a next-generation upgrade of the classic SuperTrend indicator, engineered with a multi-MA adaptive ATR engine, advanced non-repaint logic, and clean trend-flip signal generation.
This version offers 18+ institutional-grade moving averages to smooth ATR volatility, allowing traders to customize trend sensitivity and signal responsiveness unlike anything possible with the standard SuperTrend.
Key Features
✔ 18+ Moving Average Options (MA Engine)
Customize volatility smoothing using any MA:
SMA, EMA, WMA, RMA
HMA, ZLEMA, LSMA, ALMA
KAMA, VIDYA
TEMA, DEMA
VWMA, WWMA, VAR
TILLSON T3, TSF
TMA
This allows extreme flexibility — from ultra-fast scalping signals to slow and smooth swing-trend filters.
hell 1good for finding tops and bottoms in a trend .set to log scale and strech it like it looks in the chart
Nuh's Multi-Timeframe DashboardAll 10 indicators (EMA, RSI, ADX, RI, Squeezee, WaveTrend, Alpha Trend, SuperTrend, Stoch RSI, Vix Fix) across 7 time frames (5m, 15m, 1h, 2h, 4h, 1D, 1W) consolidated into a single table.
