CMO For Loop | QuantLapseCMO For Loop Indicator
The CMO For Loop indicator, inspired by Alex Orekhov's, "Chande Momentum Oscillator," and indicator originally made by Tushar Chande, the CMO designed as a fast and responsive tool to capture quick price movements in financial markets. This oscillator leverages Momentum to measure price deviations, providing a concise yet powerful framework for identifying potential trade entry and exit points. What makes this
"enhanced" CMO indicator special is its ability to identify trending periods more accurately. By using thresholds, this allows the script to enter accurate long and short conditions extremely quickly.
Intended Uses:
Used to capture long-term trends:
Used to identify quick reversals:
Recommended Uses
Best suited for higher timeframes (8H+) to improve accuracy of signals.
Designed for strategies that require fast entries and exits.
Can also be applied to scalping approaches.
Not Recommended For
Should not be used as a mean reversion tool.
Should not be interpreted as a valuation indicator (overbought/oversold levels).
Key Features
Rapid Market Reaction
Built to prioritize speed over smoothing, making it ideal for traders who want to take advantage of quick price shifts in trending or highly volatile markets.
Flexible Thresholds
Users can customize the upper and lower CMO levels to trigger long or short conditions, allowing the indicator to adapt to different assets and trading styles.
Embracing the Noise
Signals may appear frequently, but this is intentional. The tool is optimized for traders who thrive on fast rotations, using the “noise” to catch short-lived yet impactful moves.
Clear Visual Feedback
Plots key oscillator levels and provides dynamic, color-coded candles and shapes that make it easy to identify bias and react quickly.
How It Works
Oscillator Calculation
The CMO (Chande Momentum Oscillator) is derived from comparing the source price’s deviations relative to its momentum. This approach emphasizes trend-driven price shifts.
Signal Triggers
When the oscillator rises above the upper threshold, a long bias is triggered and remains until the CMO drops below the lower threshold.
When the oscillator falls below the lower threshold, a short bias is triggered and remains until the CMO crosses back above the upper threshold.
No bias is active when the oscillator is between thresholds.
Visual Signals
Green candles = long bias
Red candles = short bias
Gray candles = neutral/no signal
Triangles mark points of change in signal direction.
Pesquisar nos scripts por "scalping"
KAMA Trend Flip with Snap & Follow - SightLing Labs🔭 OVERVIEW
KAMA Snap Follow is a customized adaptation of the Kaufman Adaptive Moving Average (KAMA) that overlays a trend-tracking line on the chart. It computes an adaptive smoothing constant from the efficiency ratio, then incorporates conditional enhancements: a "snap" mechanism to boost responsiveness on significant counter-trend bars surpassing an ATR-based threshold, and a temporary "follow" mode after trend flips to intensify adaptation for a user-defined number of bars. This allows the line to hug price more closely during early reversal phases before returning to standard smoothing for noise filtration. The line colors green for upward trends (rising KAMA), red for downward (falling KAMA), and gray for neutral, with optional alerts on trend changes. If the structure invalidates (e.g., via excessive lag or unconfirmed flips), no automatic cleanup occurs—users manage via settings tweaks and backtesting.
🔭 CONCEPTS
* Adaptive smoothing core: Builds on KAMA's efficiency ratio to dynamically adjust between fast and slow constants, gliding over minor volatility while aiming to react to directional shifts.
* Snap trigger: Detects potential reversals via large bar changes opposing the prior trend, exceeding a multiplier of ATR; this temporarily amplifies the smoothing constant (capped at 1.0) to pull KAMA toward price.
* Follow mode activation: Post-flip, engages a boosted adaptation phase for a fixed bar count, forcing tighter shadowing in the new direction to reduce lag on true turns, then reverts to absorber mode.
* Trend detection: Simple comparison of current vs. prior KAMA values defines up/down/neutral, with no embedded signals—purely for visual trend context.
* Risk-aware design: No guarantees; focuses on lag reduction in simulations (e.g., 38-54% trough lag cuts on synthetic volatile series), but real-market performance varies—backtest thoroughly.
🔭 FEATURES
* Custom KAMA calculation with manual efficiency ratio and smoothing powers for baseline adaptation.
* ATR-integrated snap for reversal sensitivity, with adjustable multiplier and boost.
* Post-flip follow mode with configurable period and boost to enhance new-trend hugging.
* Trend coloring and flip alerts: Green/red/gray line with conditions for up/down/neutral; alerts on changes.
* User controls:
Source (e.g., close).
Efficiency Ratio Length (pivot-like sensitivity).
Fast/Slow Powers (adaptation speed).
ATR Length (volatility measure).
Snap Multiplier/Boost (reversal threshold/amplification).
Follow Period/Boost (post-flip duration/intensity).
* Efficient execution: Lightweight, no heavy buffers—suitable for intraday charts via backtested tweaks.
🔭 HOW TO USE
* Tune sensitivity: Shorten Efficiency Ratio Length on lower timeframes for quicker reactions; lengthen on higher for smoother trends. Test ATR Length against asset volatility.
* Monitor flips: Use green/red shifts as trend context—combine with your strategy (e.g., crossovers, support/resistance) for potential entries; alerts notify changes.
* Leverage modes: Snap helps catch sharp turns; follow mode tightens tracking post-reversal—observe on historical data to gauge lag reduction (e.g., 30-57% miss cuts on 0.20 moves in tests).
* Apply MTF: Spot broader trends on 5m; refine on 30s/1m near flips. Backtest configurations to avoid over-optimization.
* Integrate confluence: Pair with volume, RSI, or your filters; never rely solely—markets evolve, so validate via simulations and live observation.
🔭 CONCLUSION
KAMA Snap Follow evolves standard KAMA by adding snap and follow mechanics to combat reversal lag while filtering bumps, offering a visual tool for trend analysis in volatile intraday setups. Developed to address traditional adaptive averages' delays without introducing excessive whipsaw (e.g., zero added in noisy flats per tests), it provides adjustable parameters for customization. No performance promises—results hinge on backtesting and market fit; use as a framework for scenario evaluation, not automated trading.
Example Configurations (derived from synthetic tests on SOFI-like intraday volatility; backtest and adjust):
- For 30s charts (high noise, rapid shifts): Efficiency Ratio Length=20, Fast Power=1, Slow Power=15, ATR Length=10, Snap Multiplier=1.2, Snap Boost=2.0, Follow Period=5, Follow Boost=2.5—yields ~40% lag reduction on turns, filtering 85% of <0.01 fluctuations.
- For 1m charts (moderate volatility): Efficiency Ratio Length=30, Fast Power=2, Slow Power=20, ATR Length=14, Snap Multiplier=1.5, Snap Boost=2.5, Follow Period=8, Follow Boost=3.0—achieves ~30% lower reversal misses (e.g., 0.08 vs. 0.12 on 0.20 swings), stable in 50-bar chops.
- For 5m charts (trendier flows): Efficiency Ratio Length=50, Fast Power=3, Slow Power=40, ATR Length=20, Snap Multiplier=1.8, Snap Boost=3.0, Follow Period=12, Follow Boost=3.5—boosts post-flip hug by 25%, ignoring 90% of ±0.05 noise across 100 bars.
OSOK KatxumotoThe OSOK Dynamic Box Enhanced is designed for scalpers and traders using the OSOK (One Shot, One Kill) method on futures like the NQ.
Features include:
A midline that dynamically follows the current price in real-time.
Upper (LS) and lower (LI) protection lines at configurable distances from the current price, representing stop or protection levels.
Target lines offset from LS and LI according to your risk/reward strategy, also fully configurable.
Customizable colors and thickness for all lines, allowing you to adapt the visualization to your trading style.
All lines automatically extend to the right from the current price, keeping the chart clean without accumulating old lines.
This indicator helps traders quickly visualize key levels, manage risk, and set objectives efficiently—perfect for scalping and high-precision setups.
Configurable parameters:
Protection distance (LS/LI) in points
Target distance from LS/LI in points
Line colors and thickness
Line extension to the right
WAE SHK Teyla 3MDesigned to detect high-pressure market moments, where momentum and volume converge to trigger explosive moves. Ideal as an entry trigger in scalping strategies, especially when paired with STC and ST-MA.
XAUUSD Buy/Sell Alerts with SL & TPThis custom TradingView indicator identifies high-probability buy and sell signals on XAUUSD using EMA crossovers combined with RSI confirmation. Designed for precision entries, it automatically calculates optimal Stop Loss (SL) and Take Profit (TP) levels based on user-defined pip distances.
Key Features:
Fast and Slow EMA crossover for trend direction
RSI filter for momentum confirmation
Dynamic SL and TP levels to manage risk and reward
Visual buy/sell signals plotted on chart
Real-time alerts with detailed messages including entry price, SL, and TP
Suitable for multiple timeframes and trading styles
Perfect for traders seeking clear signals with built-in risk management for scalping or swing trading XAUUSD.
FlowFusion Money Flow — FP + VWAP Drift + PVT (−100..+100)Title (ASCII only)
FlowFusion Money Flow — Flow Pressure + Rolling VWAP Drift + PVT (Normalized −100..+100)
Short Description
Original money-flow oscillator combining Flow Pressure, Rolling VWAP Drift, and PVT Momentum into one normalized score (−100..+100) with a signal line, thresholds, optional component plots, and ready-made alerts.
Full Description (meets “originality & usefulness”)
What’s original
FlowFusion Money Flow is not a generic mashup. It builds a single score from three complementary, volume-aware components that target different facets of order flow:
Flow Pressure (FP) — In-bar directional drive scaled by relative volume.
Drive
=
close
−
open
max
(
high
−
low
,
tick
)
∈
=
max(high−low, tick)
close−open
∈ .
Relative Volume
=
volume
average volume over
𝑓
𝑝
𝐿
𝑒
𝑛
=
average volume over fpLen
volume
.
𝐹
𝑃
𝑟
𝑎
𝑤
=
Drive
×
RelVol
FP
raw
=Drive×RelVol then squashed (softsign) to
.
Why it belongs: distinguishes real pushes (big body and big volume) from noise.
Rolling VWAP Drift — Direction of VWAP itself over a rolling window, normalized by ATR.
𝑉
𝑊
𝐴
𝑃
𝑡
=
∑
(
𝑇
𝑃
×
𝑉
𝑜
𝑙
)
∑
𝑉
𝑜
𝑙
VWAP
t
=
∑Vol
∑(TP×Vol)
over vwapLen.
Drift
=
𝑉
𝑊
𝐴
𝑃
𝑡
−
𝑉
𝑊
𝐴
𝑃
𝑡
−
1
𝐴
𝑇
𝑅
=
ATR
VWAP
t
−VWAP
t−1
→ squashed to
.
Why it belongs: persistent VWAP movement signals sustained accumulation/distribution.
PVT Momentum — Price-Volume Trend standardized (z-score) and squashed.
𝑃
𝑉
𝑇
𝑡
=
𝑃
𝑉
𝑇
𝑡
−
1
+
𝑉
𝑜
𝑙
×
Δ
𝐶
𝑙
𝑜
𝑠
𝑒
𝐶
𝑙
𝑜
𝑠
𝑒
𝑡
−
1
PVT
t
=PVT
t−1
+Vol×
Close
t−1
ΔClose
.
𝑧
=
𝑃
𝑉
𝑇
−
SMA
(
𝑃
𝑉
𝑇
)
StDev
(
𝑃
𝑉
𝑇
)
z=
StDev(PVT)
PVT−SMA(PVT)
→ squashed to
.
Why it belongs: captures volume-weighted trend pressure without relying on price alone.
Composite score:
Score
=
𝑤
𝐹
𝑃
⋅
𝐹
𝑃
+
𝑤
𝑉
𝑊
𝐴
𝑃
⋅
𝑉
𝑊
𝐴
𝑃
_
𝐷
𝑟
𝑖
𝑓
𝑡
+
𝑤
𝑃
𝑉
𝑇
⋅
𝑃
𝑉
𝑇
_
𝑀
𝑜
𝑚
𝑤
𝐹
𝑃
+
𝑤
𝑉
𝑊
𝐴
𝑃
+
𝑤
𝑃
𝑉
𝑇
Score=
w
FP
+w
VWAP
+w
PVT
w
FP
⋅FP+w
VWAP
⋅VWAP_Drift+w
PVT
⋅PVT_Mom
with a Signal = SMA(Score, sigLen). Thresholds mark strong accumulation/distribution zones.
How it works (step-by-step)
Compute FP, VWAP Drift, PVT Momentum.
Normalize each to the same
scale.
Weighted average → FlowFusion Score.
Smooth with a Signal line to reduce whipsaw.
Optional background shading when Score exceeds thresholds.
How to use
Direction filter:
Score > 0 favors longs; Score < 0 favors shorts.
Momentum turns:
Score crosses above Signal → setup for long; below → setup for short.
Strength zones:
Above Upper Threshold (default +40) = strong buy pressure; below Lower (−40) = strong sell pressure.
Confluence:
Best near S/R, trendlines, or HTF bias. For scalping on 1–5m, consider sigLen 9–13 and thresholds ±40 to ±50.
Alerts included: zero cross, zone entries, and Score/Signal crossovers.
Inputs (key)
fpLen (20): relative-volume lookback for Flow Pressure.
vwapLen (34): rolling VWAP window.
pvtLen (50): PVT z-score window.
sigLen (9): Signal smoothing.
Weights: wFP, wVWAP, wPVT to bias the blend.
Thresholds: upperBand / lowerBand (defaults +40/−40).
Display: toggle component plots and background shading.
Best practices
Trending markets: increase wVWAP (VWAP Drift) or widen thresholds.
Ranging markets: increase wFP and wPVT; take quicker profits.
News: wait for bar close confirmation or reduce size.
Data quality: use consistent volume feeds (especially in crypto).
Limitations
Oscillators can stay extreme in strong trends; use structure/trend filters.
Volume anomalies (illiquid pairs, API glitches) can distort signals—sanity-check with another venue when possible.
Disclaimer
This indicator is for educational purposes only and is not financial advice. Trading involves risk; past performance does not guarantee future results. Always paper-trade first and use appropriate risk controls.
David Dang - Scalp M15/H1 (BTC/USDT)The Scalp Buy/Sell Volume + Support Resistance indicator is designed for traders who like short-term trading (scalping). The tool combines EMA trends, money flow strength (volume) and important support - resistance zones to give entry/exit signals.
Green arrow (BUY): When the price crosses EMA, the volume increases and holds the support zone.
Red arrow (SELL): When the price is below EMA, the volume increases and fails at the resistance zone.
Displayed with EMA, support - resistance lines for traders to easily observe the trend.
Price Grid# Price Grid Indicator
A versatile price grid indicator designed for multi-instrument trading, providing dynamic grid lines with customizable settings for different trading instruments.
## Key Features
1. 1.
Multi-Instrument Support
- Customizable grid settings for different symbols
- Supports major forex pairs, commodities, and cryptocurrencies
- Automatic symbol detection and parameter application
2. 2.
Dynamic Grid Configuration
- Adjustable grid intervals
- Customizable price range around current price
- Automatic grid line updates based on price movement
3. 3.
Visual Customization
- Three line styles: Solid, Dashed, and Dotted
- Multiple color levels (L1, L2, L3) for different price points
- Adjustable transparency for each color level
- Default grid color for standard price levels
4. 4.
Smart Price Level Detection
- Grid crossover alerts
- Automatic grid line adjustment as price moves
- Efficient line management to maintain performance
5. 5.
Default Settings Include:
- XAUUSD/Gold Futures
- Major Forex Pairs (EUR, GBP, JPY, etc.)
- Crypto Pairs (BTC, ETH)
- E-mini Futures
## Usage Tips
1. 1.
Grid Parameter Format:
- Symbol|Alias:GridInterval,PriceRange
- Multiple instruments separated by semicolons
- Example: "XAUUSD|MGC1!:5,25;EURUSD:0.002,0.02"
2. 2.
Color Matching Format:
- Symbol:PriceLevel=ColorLevel
- Supports multiple levels per instrument
- Example: "XAUUSD:100=L3,50=L2,10=L1"
3. 3.
Best Practices:
- Adjust grid intervals based on instrument volatility
- Use color levels to highlight significant price levels
- Set appropriate price ranges for your trading timeframe
## Notes
1. 1.
Grid lines automatically adjust as price moves
2. 2.
Alerts trigger when price crosses grid lines
3. 3.
Performance optimized for real-time trading
4. 4.
Compatible with all TradingView timeframes
This indicator is particularly useful for scalping, grid trading strategies, and identifying potential support/resistance levels across multiple instruments.
(AR Pro) سمارت موني - Smart Money An indicator based on the SMC school, adapted for Arabic use. The default settings for the indicator are based on my personal use of the indicator. The structure is purely structural.
Advice: Connect the frames together and follow the long-frame analysis.
Scalping = hourly frame for the market trend - 15-minute frame for analysis - 3-minute frame for entry into the quarter-hour analysis.
Swing = daily frame for the general trend - 4-hour frame for analysis - 15-minute frame for entry into the 4-hour analysis.
I hope you like the indicator. If there are any independent additions or improvements, I will work on them as soon as possible.
NR4/NR7 Volatility Squeeze & BreakoutsNR4/NR7 Volatility Squeeze & Breakouts
Concept
Markets often move in cycles of contraction → expansion.
The NR4 and NR7 patterns are well-known volatility contraction signals:
• NR4 : The current bar has the narrowest range (high–low) of the last 4 bars.
• NR7 : The current bar has the narrowest range of the last 7 bars.
• When both conditions align, it signals a strong volatility squeeze.
Such bars often precede s harp breakout moves , making them valuable for breakout and risk-framed trading setups.
How It Works
This script detects NR4 and NR7 bars in real time and adds several features for practical trading use:
Bar Highlighting:
• Teal = NR4, Purple = NR7, Orange = Both.
Breakout Levels:
• The High and Low of the most recent NR bar are projected forward as breakout bands.
Breakout Signals:
• Optional markers when price crosses above/below the NR High/Low.
• Configurable “close confirmation” and cooldown period to avoid duplicate signals.
SMA Filter (adjustable, default 20):
• Plotted on the chart to help traders frame bias and trend context.
Alerts:
• “NR Bar Formed”
• “Bullish Breakout”
• “Bearish Breakout”
How to Use
1. Identify Contraction:
• Watch for NR4/NR7 colored bars.
2. Plan Expansion:
• Use the High/Low of the bar as breakout reference.
3. Add Filters:
• SMA slope/position can add directional context.
• Combine with volume, VWAP, or support/resistance for stronger signals.
4. Risk Management:
• Many traders use the opposite side of the NR bar as stop placement.
Why It’s Useful
Unlike generic breakout systems, this script:
• Focuses on specific, researched volatility patterns (NR4/NR7), not just random breakouts.
• Provides a visual and systematic framework for detecting contraction → expansion phases.
• Integrates both classic price-action logic (narrow ranges) and a trend filter (SMA).
• Offers flexible alerts and cooldown so traders can adapt it to different styles (scalping, swing, intraday).
Important
This is an educational tool. It does not guarantee profitable trades. Always combine with your own market analysis and risk management.
LogPressure Envelope [BOSWaves]LogPressure Envelope – Adaptive Volatility & Trend Visualizer
Overview
LogPressure Envelope is a specialized trading tool designed to normalize market behavior using logarithmic price scaling while providing an adaptive framework for volatility and trend detection. The indicator calculates a log-based moving average midline, surrounds it with asymmetric volatility envelopes, and replaces the conventional cloud with progressive fan lines to present price action in a more interpretable form.
By integrating rate-of-change midline coloring, fading trend strength, and structured buy/sell markers, LogPressure Envelope simplifies the reading of complex market dynamics. Its design makes it suitable for multiple trading approaches, including scalping, intraday, and swing trading, where volatility behavior and trend shifts must be understood quickly and objectively.
Unlike static envelope indicators, LogPressure Envelope adapts continuously to price scale and volatility conditions. It evaluates log-transformed prices, applies configurable moving average methods (EMA, SMA, WMA), and derives asymmetric standard-deviation bands for both upside and downside moves. These envelopes are projected as fan lines with adjustable opacity, producing a layered volatility map that evolves with the market.
This system ensures each visual element—midline shading, candle coloring, fan structure, and signal markers—reflects real-time market conditions, allowing traders to interpret volatility expansion, contraction, and directional bias with clarity.
How It Works
The foundation of LogPressure Envelope is the logarithmic transformation of price. By operating in log space, the indicator removes distortions caused by large nominal price differences across assets, enabling consistent analysis of both low-priced and high-priced instruments.
A moving average of log prices is calculated (EMA, SMA, or WMA depending on user input) and then re-converted to normal price scale, forming the log midline. Standard deviation of log prices is then measured over a separate period, with independent multipliers for upside and downside deviations. This asymmetry captures the fact that markets often expand differently in bullish versus bearish phases.
Instead of plotting a filled cloud, the envelope is expressed as ten equidistant fan lines stretching from the lower to upper boundary. Each line is shaded progressively to visualize volatility clustering and directional strength without overloading the chart.
Trend determination is smoothed using a fade mechanism: shifts in bias do not flip instantly but gradually move toward the new state, producing fewer false transitions. Buy and sell markers are generated when trend strength crosses confirmation thresholds, ensuring signals are event-driven and contextually meaningful.
Signals and Visuals
LogPressure Envelope provides multiple layers of structured signals:
Midline Bias – Central moving average colored by rate-of-change, reflecting directional acceleration or deceleration.
Volatility Fan – Ten progressive lines forming a gradient between lower and upper bands, visually encoding volatility spread.
Buy Signals – Labels below bars when upward trend strength is confirmed.
Sell Signals – Labels above bars when downward trend strength is confirmed.
Candle Coloring – Optional shading of candles based on trend alignment with the log midline, highlighting bullish, bearish, or neutral conditions.
These signals remain clear even during high-volatility phases, with visual hierarchy maintained through progressive opacity control.
Interpretation
Trend Analysis : Midline direction and candle coloring provide continuous feedback on prevailing bias. Upward-sloping midlines with blue shading indicate bullish phases, while downward slopes with orange shading confirm bearish conditions.
Volatility and Risk Assessment : Expansion of fan lines indicates rising volatility and potential breakout conditions; contraction indicates consolidation and possible mean reversion.
Signal Confirmation : Buy and sell markers validate transitions when trend strength thresholds are crossed, aligning with volatility envelope dynamics.
Market Context : Asymmetric envelopes allow traders to see where bearish acceleration differs from bullish expansion, improving interpretation of liquidity conditions and institutional pressure.
Strategy Integration
LogPressure Envelope can be applied across trading styles:
Trend Following : Enter trades in the direction of midline bias, confirmed by buy or sell markers.
Pullback Entries : Use midline retests during trending conditions as lower-risk continuation points.
Volatility Breakouts : Identify sharp expansions in fan line spacing as early signals of directional moves.
Reversal Strategies : Fade extreme envelope touches when momentum shows exhaustion and fan contraction begins.
Multi-Timeframe Confirmation : Align signals from higher and lower timeframes to reduce noise and validate trade setups.
Stop-loss levels can be set near the opposite envelope boundary, while targets may be managed through progressive volatility zones or midline convergence.
Advanced Techniques
For greater precision, LogPressure Envelope can be combined with other analytical tools:
Pair with volume or liquidity measures to validate breakout or reversal conditions.
Use momentum indicators to confirm ROC-based midline bias.
Track sequences of fan line expansions and contractions to anticipate regime shifts in volatility.
Apply across multiple timeframes to monitor how volatility clusters align at different market scales.
Adjusting parameters such as envelope multipliers, moving average type, and fade bars allows the indicator to adapt to diverse asset classes and volatility environments.
Inputs and Customization
Midline Type : Select EMA, SMA, or WMA.
Line Opacity : Control visibility of fan lines.
Enable Candle Coloring : Toggle trend-based bar shading.
MA Length / StdDev Length : Define periods for midline and volatility calculation.
Multipliers : Set asymmetric scaling for upside and downside envelopes.
Fade Bars : Control smoothness of trend strength transitions.
Fan Lines : Adjust number of envelope subdivisions for visualization granularity.
Why Use LogPressure Envelope
LogPressure Envelope translates complex volatility and trend interactions into a structured and adaptive framework. By combining logarithmic normalization, asymmetric standard deviation envelopes, and smoothed trend confirmation, it allows traders to:
Normalize price analysis across assets of different scales.
Visualize volatility expansion and contraction in real time.
Identify and confirm directional shifts with objective signal markers.
Apply a disciplined system for trend, breakout, and reversal strategies.
This indicator is designed for traders who want a systematic, visually clear approach to volatility-based market analysis without relying on static bands or arbitrary scaling.
HANUMAN INDICATORThe VIKRANT INDICATOR is a powerful all-in-one TradingView tool designed for traders who want accuracy, clarity, and confidence in their trades. Built with advanced technical logic, it helps identify market trends, entry & exit points, and high-probability trade setups across Forex, Crypto, Indices, Stocks, and Commodities.
⚡ Key Features:
✅ Smart Trend Detection using multi-layer confluence (EMA / Supertrend / RSI / Volume logic)
✅ Clear Buy/Sell signals with chart labels
✅ Built-in Stop Loss (SL), Take Profit (TP), and Trailing Stop system
✅ Works on all timeframes – from scalping (1m/5m) to intraday & swing trading
✅ Backtestable strategy to check accuracy & performance
✅ Fully customizable settings for every trader’s style
Session Open Candle MarkerThe "Session Open Candle Marker" is a Pine Script indicator designed for forex and futures traders using Smart Money Concepts (SMC) and RP Profits-inspired strategies. It marks the 15-minute opening range candles for the Asia, London, and NY sessions, where institutional "big players" often gather liquidity. Each session’s range is drawn as a rectangle with a customizable midpoint line, ideal for spotting breakouts, retests, and liquidity sweeps.
Features
Session Open Ranges: Plots rectangles for the 15m open candles of Asia (03:00 EEST), London (10:00 EEST), and NY (15:00 EEST), corresponding to 01:00, 08:00, and 13:00 GMT+1.
Customizable Visualization:
Toggle each session (Asia, London, NY) on/off.
Independent high/low label toggles for each session.
Adjustable rectangle color, midpoint line color, style (solid/dashed/dotted), and width.
Customizable rectangle duration (default: 96 bars, ~24 hours on 15m).
Timezone Flexibility: Default times are set for EEST (UTC+3). Adjust session inputs for your chart’s timezone (e.g., GMT+1: Asia 01:00, London 08:00, NY 13:00; UTC: Asia 00:00, London 07:00, NY 12:00).
Clean Design: Rectangles and labels update dynamically, with proper cleanup to avoid clutter.
Usage:
Setup: Add to a 15m chart (e.g., EURUSD, ES1!). Check your chart’s timezone (Chart Settings > Symbol > Timezone) and adjust session times if needed.
Settings:
Toggle sessions and labels to focus on desired ranges (e.g., London and NY for high volatility).
Customize colors, midpoint line style/width, and rectangle duration.
Trading:
Breakouts/Retests: Trade breakouts above/below the rectangle high/low, with retests back to the range or midpoint (aligned with RP Profits scalping).
Liquidity Sweeps: Watch for price sweeping session highs/lows, reversing for entries (SMC concept).
Balanced Big Wicks (50/50) HighlighterDetects candles with unusually long, balanced upper and lower wicks—a potential sign of market indecision followed by strong breakout action.
What It Does
Identifies candles where both upper and lower wicks each account for at least a configurable percentage (e.g., 30–40%) of the total range, and where the body remains small—creating the classic “balanced wick” (50/50) appearance.
Marks these candles visually with color (bullish/bearish), optional background shading, and a tiny “50/50” label above the candle.
Why It’s Useful
Balanced wicks often precede decisive moves once price breaks either wick. This script highlights such opportunities systematically.
Helpful for traders looking for clean entry signals: long on close above the upper wick, short on close below the lower wick—with straightforward risk management (SL at opposite wick, TP 1:1).
Key Inputs (default values shown in parentheses)
Min wick % (each side): 30%
Max body %: 20%
Equality tolerance: 10%
Min range filter (ATR multiples): 0 (disable)
ATR length: 14
Color candles: On
Background highlight: Off by default
Plot label on candle: On
Adjust these to fit your preferred timeframe or instrument (e.g., raise wick thresholds or ATR filter for noisy 15‑minute altcoin charts; relax slightly for smoother 1‑hour BTC analysis).
Alerts
Three alert options included:
“50/50 Wick (Any)” — triggers on any balanced-wick candle.
“50/50 Wick (Bullish)” — only when the candle closes bullish (upper close).
“50/50 Wick (Bearish)” — only when the candle closes bearish (lower close).
How to Use It
Add the indicator to your chart.
Adjust input settings to suit the timeframe or trading style.
Watch for highlighted candles.
Optional alert: create alerts using one of the provided alert conditions (e.g., “50/50 Wick (Any)”) with “Once per bar close” to get notified when signal bars appear.
Use your own trade logic (e.g., breakout entries as described above).
Disclaimer & Originality
Original Concept: I built this script from scratch to highlight a specific candle structure often used by traders in breakout setups—long balanced wicks with small bodies.
No external code references; it’s entirely open-source and self-explanatory.
Note: This indicator highlights potential setups—not financial advice. Always backtest any strategy, and use sound risk management. Past patterns do not guarantee future success.
Optimized Settings for 5m–15m Scalping
Min wick % (each side): 0.30
→ Forces both wicks to be almost half the candle each. Very strict.
Max body % of range: 0.40
→ Candle body must be ≤10% of full range = almost a doji.
Equality tolerance: 0.1
→ Wicks must be within 5% of each other relative to full candle size.
Min range filter (ATR multiples): 0
→ Candle must be at least 1.2× bigger than recent average (ATR14). Filters out weak fake dojis.
ATR Length: 14 (standard, stable)
Color candles / Plot labels: On (so you clearly see them)
Background highlight: Optional
Signal Hunter Pro - GKDXLSignal Hunter Pro - GKDXL combines four powerful technical indicators with trend strength filtering and volume confirmation to generate reliable BUY/SELL signals. This indicator is perfect for traders who want a systematic approach to market analysis without the noise of conflicting signals.
🔧 Core Features
📈 Multi-Indicator Signal System
Moving Averages: EMA 20, EMA 50, and SMA 200 for trend analysis
Bollinger Bands: Dynamic support/resistance with price momentum detection
RSI: Enhanced RSI logic with smoothing and multi-zone analysis
MACD: Traditional MACD with signal line crossovers and zero-line analysis
🎛️ Advanced Filtering System
ADX Trend Strength Filter: Only signals when trend strength exceeds threshold
Volume Confirmation: Ensures signals occur with adequate volume participation
Multi-Timeframe Logic: Works on any timeframe from 1m to 1D and beyond
🚨 Intelligent Signal Generation
Requires 3 out of 4 indicators to align for signal confirmation
Separate bullish and bearish signal conditions
Real-time signal strength scoring (1/4 to 4/4)
Built-in alert system for automated notifications
⚙️ Customizable Parameters
📊 Technical Settings
Moving Averages: Adjustable EMA and SMA periods
Bollinger Bands: Configurable length and multiplier
RSI: Customizable length, smoothing, and overbought/oversold levels
MACD: Flexible fast, slow, and signal line settings
🎯 Risk Management
Risk Percentage: Set your risk per trade (0.1% to 10%)
Reward Ratio: Configure risk-to-reward ratios (1:1 to 1:5)
ADX Threshold: Control minimum trend strength requirements
🖥️ Display Options
Indicator Visibility: Toggle individual indicators on/off
Information Table: Optional detailed status table (off by default)
Volume Analysis: Real-time volume vs. average comparison
🎨 Visual Elements
📈 Chart Indicators
EMA Lines: Blue (20) and Orange (50) exponential moving averages
SMA 200: Gray long-term trend line
Bollinger Bands: Upper/lower bands with semi-transparent fill
Clean Interface: Minimal visual clutter for clear analysis
📋 Information Table (Optional)
Real-time indicator status with ✓/✗/— symbols
Current signal strength and direction
ADX trend strength measurement
Volume confirmation status
No-signal reasons when conditions aren't met
🔔 Alert System
📢 Three Alert Types
BUY Signal: Triggered when 3+ indicators align bullishly
SELL Signal: Triggered when 3+ indicators align bearishly
General Alert: Any signal detection for broader monitoring
📱 Alert Messages
Clear, actionable alert text
Includes indicator name for easy identification
Compatible with webhook integrations
🎯 How It Works
📊 Signal Logic
Indicator Assessment: Each of the 4 indicators is evaluated as Bullish/Bearish/Neutral
Consensus Building: Counts aligned indicators (minimum 3 required)
Filter Application: Applies trend strength and volume filters
Signal Generation: Generates BUY/SELL when all conditions are met
🔍 Indicator States
Moving Averages: Price position, EMA alignment, and crossovers
Bollinger Bands: Price relative to bands and momentum shifts
RSI: Multi-zone analysis with momentum and crossover detection
MACD: Signal line crossovers and zero-line positioning
🎉 Why Choose Signal Hunter Pro?
✅ Multi-Indicator Confirmation reduces false signals
✅ Trend Strength Filtering improves win rate
✅ Volume Confirmation ensures market participation
✅ Customizable Parameters adapt to any trading style
✅ Clean Visual Design doesn't clutter your charts
✅ Professional Alert System for automated trading
✅ No Repainting - reliable historical signals
✅ Works on All Timeframes from scalping to investing
Daily HOD / LOD Anchored VWAP (24/7 Markets)mart Daily HOD/LOD Anchored VWAP (Auto Detect + Alerts)
This indicator automatically anchors VWAP at the High of Day (HOD) and Low of Day (LOD) for each session/day.
No more manual anchoring — the script tracks intraday highs and lows in real-time and resets cleanly at the start of each trading day or session.
✨ Features
✅ Auto-anchored AVWAP at daily High and Low
✅ Works for stock markets (with fixed sessions) and crypto markets (24/7)
✅ Clean reset every session/day
✅ Separate AVWAP lines for HOD and LOD
✅ Customizable colors & line widths
✅ Alerts included 🚨 (get notified instantly when a new High/Low AVWAP starts)
📈 Use Cases
Spot true intraday support/resistance levels
Track where institutions may be defending positions
Combine with price action, orderflow, or volume profile strategies
Perfect for intraday trading, scalping, and swing entries
⚡ Alerts
New HOD AVWAP → Fires when price makes a fresh high of day, starting a new anchored VWAP.
New LOD AVWAP → Fires when price makes a fresh low of day, starting a new anchored VWAP.
🛠️ Settings
Show/hide HOD or LOD VWAP
Customize line colors and thickness
Works seamlessly across stocks, futures, forex, and crypto
💡 Pro Tip:
AVWAP from the high and low of the day often acts as a magnet for price. Watch how price reacts when revisiting these levels — confluence with other indicators = high-probability setups.
⚠️ Disclaimer:
This script is for educational purposes only. It is not financial advice. Always manage your own risk.
Adaptive Valuation [BackQuant]Adaptive Valuation
What this is
A composite, zero-centered oscillator that standardizes several classic indicators and blends them into one “valuation” line. It computes RSI, CCI, Demarker, and the Price Zone Oscillator, converts each to a rolling z-score, then forms a weighted average. Optional smoothing, dynamic overbought and oversold bands, and an on-chart table make the inputs and the final score easy to inspect.
How it works
Components
• RSI with its own lookback.
• CCI with its own lookback.
• DM (Demarker) with its own lookback.
• PZO (Price Zone Oscillator) with its own lookback.
Standardization via z-score
Each component is transformed using a rolling z-score over lookback bars:
z = (value − mean) ÷ stdev , where the mean is an EMA and the stdev is rolling.
This puts all inputs on a comparable scale measured in standard deviations.
Weighted blend
The z-scores are combined with user weights w_rsi, w_cci, w_dm, w_pzo to produce a single valuation series. If desired, it is then smoothed with a selected moving average (SMA, EMA, WMA, HMA, RMA, DEMA, TEMA, LINREG, ALMA, T3). ALMA’s sigma input shapes its curve.
Dynamic thresholds (optional)
Two ways to set overbought and oversold:
• Static : fixed levels at ob_thres and os_thres .
• Dynamic : ±k·σ bands, where σ is the rolling standard deviation of the valuation over dynLen .
Bands can be centered at zero or around the valuation’s rolling mean ( centerZero ).
Visualization and UI
• Zero line at 0 with gradient fill that darkens as the valuation moves away from 0.
• Optional plotting of band lines and background highlights when OB or OS is active.
• Optional candle and background coloring driven by the valuation.
• Summary table showing each component’s current z-score, the final score, and a compact status.
How it can be used
• Bias filter : treat crosses above 0 as bullish bias and below 0 as bearish bias.
• Mean-reversion context : look for exhaustion when the valuation enters the OB or OS region, then watch for exits from those regions or a return toward 0.
• Signal confirmation : use the final score to confirm setups from structure or price action.
• Adaptive banding : with dynamic thresholds, OB and OS adjust to prevailing variability rather than relying on fixed lines.
• Component tuning : change weights to emphasize trend (raise DM, reduce RSI/CCI) or range behavior (raise RSI/CCI, reduce DM). PZO can help in swing environments.
Why z-score blending helps
Indicators often live on different scales. Z-scoring places them on a common, unitless axis, so a one-sigma move in RSI has comparable influence to a one-sigma move in CCI. This reduces scale bias and allows transparent weighting. It also facilitates regime-aware thresholds because the dynamic bands scale with recent dispersion.
Inputs to know
• Component lookbacks : rsilb, ccilb, dmlb, pzolb control each raw signal.
• Standardization window : lookback sets the z-score memory. Longer smooths, shorter reacts.
• Weights : w_rsi, w_cci, w_dm, w_pzo determine each component’s influence.
• Smoothing : maType, smoothP, sig govern optional post-blend smoothing.
• Dynamic bands : dyn_thres, dynLen, thres_k, centerZero configure the adaptive OB/OS logic.
• UI : toggle the plot, table, candle coloring, and threshold lines.
Reading the plot
• Above 0 : composite pressure is positive.
• Below 0 : composite pressure is negative.
• OB region : valuation above the chosen OB line. Risk of mean reversion rises and momentum continuation needs evidence.
• OS region : mirror logic on the downside.
• Band exits : leaving OB or OS can serve as a normalization cue.
Strengths
• Normalizes heterogeneous signals into one interpretable series.
• Adjustable component weights to match instrument behavior.
• Dynamic thresholds adapt to changing volatility and drift.
• Transparent diagnostics from the on-chart table.
• Flexible smoothing choices, including ALMA and T3.
Limitations and cautions
• Z-scores assume a reasonably stationary window. Sharp regime shifts can make recent bands unrepresentative.
• Highly correlated components can overweight the same effect. Consider adjusting weights to avoid double counting.
• More smoothing adds lag. Less smoothing adds noise.
• Dynamic bands recalibrate with dynLen ; if set too short, bands may swing excessively. If too long, bands can be slow to adapt.
Practical tuning tips
• Trending symbols: increase w_dm , use a modest smoother like EMA or T3, and use centerZero dynamic bands.
• Choppy symbols: increase w_rsi and w_cci , consider ALMA with a higher sigma , and widen bands with a larger thres_k .
• Multiday swing charts: lengthen lookback and dynLen to stabilize the scale.
• Lower timeframes: shorten component lookbacks slightly and reduce smoothing to keep signals timely.
Alerts
• Enter and exit of Overbought and Oversold, based on the active band choice.
• Bullish and bearish zero crosses.
Use alerts as prompts to review context rather than as stand-alone trade commands.
Final Remarks
We created this to show people a different way of making indicators & trading.
You can process normal indicators in multiple ways to enhance or change the signal, especially with this you can utilise machine learning to optimise the weights, then trade accordingly.
All of the different components were selected to give some sort of signal, its made out of simple components yet is effective. As long as the user calibrates it to their Trading/ investing style you can find good results. Do not use anything standalone, ensure you are backtesting and creating a proper system.
Adaptive Rolling Quantile Bands [CHE] Adaptive Rolling Quantile Bands
Part 1 — Mathematics and Algorithmic Design
Purpose. The indicator estimates distribution‐aware price levels from a rolling window and turns them into dynamic “buy” and “sell” bands. It can work on raw price or on *residuals* around a baseline to better isolate deviations from trend. Optionally, the percentile parameter $q$ adapts to volatility via ATR so the bands widen in turbulent regimes and tighten in calm ones. A compact, latched state machine converts these statistical levels into high-quality discretionary signals.
Data pipeline.
1. Choose a source (default `close`; MTF optional via `request.security`).
2. Optionally compute a baseline (`SMA` or `EMA`) of length $L$.
3. Build the *working series*: raw price if residual mode is off; otherwise price minus baseline (if a baseline exists).
4. Maintain a FIFO buffer of the last $N$ values (window length). All quantiles are computed on this buffer.
5. Map the resulting levels back to price space if residual mode is on (i.e., add back the baseline).
6. Smooth levels with a short EMA for readability.
Rolling quantiles.
Given the buffer $X_{t-N+1..t}$ and a percentile $q\in $, the indicator sorts a copy of the buffer ascending and linearly interpolates between adjacent ranks to estimate:
* Buy band $\approx Q(q)$
* Sell band $\approx Q(1-q)$
* Median $Q(0.5)$, plus optional deciles $Q(0.10)$ and $Q(0.90)$
Quantiles are robust to outliers relative to means. The estimator uses only data up to the current bar’s value in the buffer; there is no look-ahead.
Residual transform (optional).
In residual mode, quantiles are computed on $X^{res}_t = \text{price}_t - \text{baseline}_t$. This centers the distribution and often yields more stationary tails. After computing $Q(\cdot)$ on residuals, levels are transformed back to price space by adding the baseline. If `Baseline = None`, residual mode simply falls back to raw price.
Volatility-adaptive percentile.
Let $\text{ATR}_{14}(t)$ be current ATR and $\overline{\text{ATR}}_{100}(t)$ its long SMA. Define a volatility ratio $r = \text{ATR}_{14}/\overline{\text{ATR}}_{100}$. The effective quantile is:
Smoothing.
Each level is optionally smoothed by an EMA of length $k$ for cleaner visuals. This smoothing does not change the underlying quantile logic; it only stabilizes plots and signals.
Latched state machines.
Two three-step processes convert levels into “latched” signals that only fire after confirmation and then reset:
* BUY latch:
(1) HLC3 crosses above the median →
(2) the median is rising →
(3) HLC3 prints above the upper (orange) band → BUY latched.
* SELL latch:
(1) HLC3 crosses below the median →
(2) the median is falling →
(3) HLC3 prints below the lower (teal) band → SELL latched.
Labels are drawn on the latch bar, with a FIFO cap to limit clutter. Alerts are available for both the simple band interactions and the latched events. Use “Once per bar close” to avoid intrabar churn.
MTF behavior and repainting.
MTF sourcing uses `lookahead_off`. Quantiles and baselines are computed from completed data only; however, any *intrabar* cross conditions naturally stabilize at close. As with all real-time indicators, values can update during a live bar; prefer bar-close alerts for reliability.
Complexity and parameters.
Each bar sorts a copy of the $N$-length window (practical $N$ values keep this inexpensive). Typical choices: $N=50$–$100$, $q_0=0.15$–$0.25$, $k=2$–$5$, baseline length $L=20$ (if used), adaptation strength $s=0.2$–$0.7$.
Part 2 — Practical Use for Discretionary/Active Traders
What the bands mean in practice.
The teal “buy” band marks the lower tail of the recent distribution; the orange “sell” band marks the upper tail. The median is your dynamic equilibrium. In residual mode, these tails are deviations around trend; in raw mode they are absolute price percentiles. When ATR adaptation is on, tails breathe with regime shifts.
Two core playbooks.
1. Mean-reversion around a stable median.
* Context: The median is flat or gently sloped; band width is relatively tight; instrument is ranging.
* Entry (long): Look for price to probe or close below the buy band and then reclaim it, especially after HLC3 recrosses the median and the median turns up.
* Stops: Place beyond the most recent swing low or $1.0–1.5\times$ ATR(14) below entry.
* Targets: First scale at the median; optional second scale near the opposite band. Trail with the median or an ATR stop.
* Symmetry: Mirror the rules for shorts near the sell band when the median is flat to down.
2. Continuation with latched confirmations.
* Context: A developing trend where you want fewer but cleaner signals.
* Entry (long): Take the latched BUY (3-step confirmation) on close, or on the next bar if you require bar-close validation.
* Invalidation: A close back below the median (or below the lower band in strong trends) negates momentum.
* Exits: Trail under the median for conservative exits or under the teal band for trend-following exits. Consider scaling at structure (prior swing highs) or at a fixed $R$ multiple.
Parameter guidance by timeframe.
* Scalping / LTF (1–5m): $N=30$–$60$, $q_0=0.20$, $k=2$–3, residual mode on, baseline EMA $L=20$, adaptation $s=0.5$–0.7 to handle micro-vol spikes. Expect more signals; rely on latched logic to filter noise.
* Intraday swing (15–60m): $N=60$–$100$, $q_0=0.15$–0.20, $k=3$–4. Residual mode helps but is optional if the instrument trends cleanly. $s=0.3$–0.6.
* Swing / HTF (4H–D): $N=80$–$150$, $q_0=0.10$–0.18, $k=3$–5. Consider `SMA` baseline for smoother residuals and moderate adaptation $s=0.2$–0.4.
Baseline choice.
Use EMA for responsiveness (fast trend shifts) and SMA for stability (smoother residuals). Turning residual mode on is advantageous when price exhibits persistent drift; turning it off is useful when you explicitly want absolute bands.
How to time entries.
Prefer bar-close validation for both band recaptures and latched signals. If you must act intrabar, accept that crosses can “un-cross” before close; compensate with tighter stops or reduced size.
Risk management.
Position size to a fixed fractional risk per trade (e.g., 0.5–1.0% of equity). Define invalidation using structure (swing points) plus ATR. Avoid chasing when distance to the opposite band is small; reward-to-risk degrades rapidly once you are deep inside the distribution.
Combos and filters.
* Pair with a higher-timeframe median slope as a regime filter (trade only in the direction of the HTF median).
* Use band width relative to ATR as a range/trend gauge: unusually narrow bands suggest compression (mean-reversion bias); expanding bands suggest breakout potential (favor latched continuation).
* Volume or session filters (e.g., avoid illiquid hours) can materially improve execution.
Alerts for discretion.
Enable “Cross above Buy Level” / “Cross below Sell Level” for early notices and “Latched BUY/SELL” for conviction entries. Set alerts to “Once per bar close” to avoid noise.
Common pitfalls.
Do not interpret band touches as automatic signals; context matters. A strong trend will often ride the far band (“band walking”) and punish counter-trend fades—use the median slope and latched logic to separate trend from range. Do not oversmooth levels; you will lag breaks. Do not set $q$ too small or too large; extremes reduce statistical meaning and practical distance for stops.
A concise checklist.
1. Is the median flat (range) or sloped (trend)?
2. Is band width expanding or contracting vs ATR?
3. Are we near the tail level aligned with the intended trade?
4. For continuation: did the 3 steps for a latched signal complete?
5. Do stops and targets produce acceptable $R$ (≥1.5–2.0)?
6. Are you trading during liquid hours for the instrument?
Summary. ARQB provides statistically grounded, regime-aware bands and a disciplined, latched confirmation engine. Use the bands as objective context, the median as your equilibrium line, ATR adaptation to stay calibrated across regimes, and the latched logic to time higher-quality discretionary entries.
Disclaimer
No indicator guarantees profits. Adaptive Rolling Quantile Bands is a decision aid; always combine with solid risk management and your own judgment. Backtest, forward test, and size responsibly.
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence 🚀
Best regards
Chervolino
Dynamic Momentum Oscillator with Adaptive ThresholdsDynamic Momentum Oscillator with Adaptive Thresholds (DMO-AT)
This advanced indicator is designed to provide traders with a robust tool for identifying momentum shifts, overbought/oversold conditions, and potential reversals in any market. Unlike traditional oscillators with fixed thresholds, DMO-AT uses adaptive levels that adjust based on current volatility (via ATR) and incorporates volume weighting for more accurate signals in high-volume environments.
#### Key Features:
- **Momentum Calculation**: A normalized momentum value derived from price changes, optionally weighted by volume for enhanced sensitivity.
- **Adaptive Thresholds**: Overbought and oversold levels dynamically adjust using ATR, making the indicator adaptable to volatile or ranging markets.
- **Signal Line**: An EMA of the momentum for crossover signals, helping confirm trend directions.
- **Divergence Detection**: Built-in alerts for bullish and bearish divergences between price and momentum.
- **Visual Enhancements**: Background coloring for quick zone identification, dashed static lines for reference, and a customizable stats table displaying real-time values.
- **Alerts**: Multiple alert conditions for crossovers, zone entries, and divergences to keep you notified without constant chart watching.
#### How to Use:
1. Add the indicator to your chart via TradingView's indicator search.
2. Customize inputs: Adjust the momentum length, source, ATR length, and threshold multiplier to fit your trading style (e.g., shorter lengths for scalping, longer for swing trading).
3. Interpret Signals:
- **Crossover**: Momentum crossing above the signal line suggests bullish momentum; below indicates bearish.
- **Zones**: Entering the overbought (red) zone may signal a potential sell; oversold (green) for buys.
- **Divergences**: Use alerts to spot hidden opportunities where price and momentum disagree.
4. Combine with other tools like moving averages or support/resistance for confluence.
5. Enable the stats table for at-a-glance insights on the chart.
This indicator is versatile across timeframes and assets, from stocks to crypto. It's optimized for clarity and performance, with no repainting.
MTF Adaptive Trendline Scalper (ATR + EMA System) By GouravThe MTF Adaptive Trendline Scalper is a precision-built trading tool designed for intraday scalpers and swing traders.
🔹 Core Features:
Adaptive Trendline Engine: Dynamically shifts trendline support/resistance using volatility (ATR) and Bollinger-band extremes.
Multi-Timeframe Mode: Calculate signals on your chosen higher timeframe or sync with the chart resolution.
Automatic Buy/Sell Signals: Clear trend reversal markers (💣 Buy / 🔨 Sell) for fast execution.
Volatility Filtering: ATR-based buffer reduces noise in choppy conditions.
Extra EMA Overlay: Plots 9 / 15 / 50 / 200 EMAs to help confirm trend bias and momentum.
🔹 How It Helps You Trade:
Catch scalping entries with trendline flips.
Trade trend-following continuations using EMA alignment.
Spot reversals when price pierces the adaptive channel.
Works on all assets (Forex, Crypto, Stocks, Indices) and any timeframe.
⚠️ Note: This is not financial advice. Always combine with your own risk management and strategy.
MTF Adaptive Trendline Scalper (ATR + EMA System) By GouravThe MTF Adaptive Trendline Scalper is a precision-built trading tool designed for intraday scalpers and swing traders.
🔹 Core Features:
Adaptive Trendline Engine: Dynamically shifts trendline support/resistance using volatility (ATR) and Bollinger-band extremes.
Multi-Timeframe Mode: Calculate signals on your chosen higher timeframe or sync with the chart resolution.
Automatic Buy/Sell Signals: Clear trend reversal markers (💣 Buy / 🔨 Sell) for fast execution.
Volatility Filtering: ATR-based buffer reduces noise in choppy conditions.
Extra EMA Overlay: Plots 9 / 15 / 50 / 200 EMAs to help confirm trend bias and momentum.
🔹 How It Helps You Trade:
Catch scalping entries with trendline flips.
Trade trend-following continuations using EMA alignment.
Spot reversals when price pierces the adaptive channel.
Works on all assets (Forex, Crypto, Stocks, Indices) and any timeframe.
⚠️ Note: This is not financial advice. Always combine with your own risk management and strategy.
MFI × RSI × VWAP Multi-Timeframe Suite# MFI × RSI × VWAP Multi-Timeframe Suite - Usage Guide & Precautions
## 📊 Indicator Overview
This indicator integrates **RSI (Relative Strength Index)**, **MFI (Money Flow Index)**, and **VWAP (Volume Weighted Average Price)** for comprehensive multi-timeframe analysis. It provides high-precision trading signals through confluence analysis.
## 🎯 Primary Objectives
- **Comprehensive trend analysis across short, medium, and long-term timeframes**
- **Enhanced accuracy through multi-indicator confluence**
- **Optimized entry and exit timing**
---
## 📈 Basic Interpretation
### 1. Main Plot Lines
- **Blue Line (RSI)**: Price momentum
- **Purple Line (MFI)**: Money flow momentum
- **Orange Line (VWAP Relative)**: Relative position to VWAP (0-100 scale)
### 2. Background Color Meaning
- **Green**: All indicators aligned bullishly (buying dominance)
- **Red**: All indicators aligned bearishly (selling dominance)
- **Color Intensity**: Strength of confluence
### 3. Signal Arrows
- **🔼 Green Up Arrow**: Long signal
- **🔽 Red Down Arrow**: Short signal
- **🟠 Small Circles**: VWAP crossover signals
---
## 🎛️ Configuration Settings
### Basic Parameters
```
RSI Length: 14 (standard)
MFI Length: 14 (standard)
RSI Overbought: 70
RSI Oversold: 30
MFI Overbought: 80
MFI Oversold: 20
```
### VWAP Settings
```
VWAP Anchor: Session (use "Week" or "Month" for daily charts)
Std Dev Multiplier: 2.0 (Bollinger Band-style application)
```
### Multi-Timeframe Configuration
```
TF1: 15min (short-term)
TF2: 1hour (medium-term)
TF3: 4hour (long-term)
TF4: Daily (trend)
```
---
## 📋 Dashboard Interpretation
### Trend Strength Scores
- **+70 to +100**: 💪 Very strong uptrend
- **+30 to +69**: 🟢 Uptrend
- **-29 to +29**: ➖ Sideways/No clear direction
- **-30 to -69**: 🔴 Downtrend
- **-70 to -100**: ⚠️ Very strong downtrend
### Consensus (Overall Assessment)
Average score across all timeframes. **Absolute value ≥50** indicates strong trend.
---
## 🎯 Practical Trading Methods
### 🔵 Long Entry Conditions
1. **RSI crosses above MFI** OR **synchronized oversold exit**
2. **Price above VWAP**
3. **Multi-timeframe consensus is positive (+)**
4. **Green background (confluence present)**
### 🔴 Short Entry Conditions
1. **RSI crosses below MFI** OR **synchronized overbought exit**
2. **Price below VWAP**
3. **Multi-timeframe consensus is negative (-)**
4. **Red background (confluence present)**
### ⚡ Strongest Signals
- **All timeframes align in trend direction**
- **Consensus score ±70 or higher**
- **🚀 STRONG display**
---
## ⏰ Timeframe-Specific Applications
### Scalping (1min-5min charts)
- Focus on RSI/MFI crossovers
- Target VWAP bounces
- Require 15min+ timeframe trend filter
### Day Trading (15min-1hour charts)
- Emphasize overbought/oversold exit signals
- Follow 1hour to daily trend direction
- Confirm with confluence background color
### Swing Trading (4hour-daily charts)
- Prioritize daily+ consensus
- Use weekly VWAP for big picture
- Wait for multi-timeframe alignment
---
## 🚨 Alert Utilization
### Basic Alerts
- **Long/Short Signal**: Basic entry signals
- **Strong Consensus**: Powerful signals with multi-timeframe confluence
- **VWAP Cross**: Important support/resistance breakouts
### Alert Configuration Example
```
Long Signal → Begin monitoring as candidate
Strong Consensus + Long → Consider aggressive entry
VWAP Bullish Cross → Potential trend reversal
```
---
## ⚠️ Important Precautions & Limitations
### Avoiding False Signals
1. **Wait for multiple conditions to align simultaneously**
2. **Never trade against higher timeframe trends**
3. **Avoid major economic news releases**
4. **Exercise caution during extremely low volatility**
### Market Environment Adjustments
- **Trending Markets**: Emphasize crossover signals
- **Range-bound Markets**: Focus on overbought/oversold levels
- **High Volatility**: Strengthen filters
- **Low Volatility**: Adjust sensitivity
### Risk Management Rules
1. **Never risk more than 2% per trade**
2. **Always set stop-loss before entry**
3. **Use proper position sizing**
4. **Maintain trading journal**
---
## 🎓 Learning & Improvement Guidelines
### Backtesting Recommendations
- **Test on 6+ months of historical data**
- **Verify performance across different market conditions**
- **Adapt settings to your trading style**
### Continuous Optimization
- **Track win rate and risk-reward ratios**
- **Analyze performance by timeframe**
- **Measure impact of parameter adjustments**
---
## 🚫 Critical Don'ts
### Never Do These:
❌ **Trade during major news events** (FOMC, NFP, CPI)
❌ **Ignore higher timeframe bias**
❌ **Chase signals after they've already moved significantly**
❌ **Override risk management rules**
❌ **Trade when emotionally compromised**
### Red Flags - Stop Trading When:
⚠️ **Consensus shows conflicting signals across timeframes**
⚠️ **VWAP shows choppy, directionless movement**
⚠️ **Multiple false signals occur consecutively**
⚠️ **Market volatility exceeds 300% of normal levels**
---
## 📊 Performance Monitoring
### Daily Checklist
```
□ Check overall market sentiment
□ Verify economic calendar for news events
□ Review multi-timeframe alignment
□ Confirm proper risk management setup
□ Monitor position sizing appropriateness
```
### Weekly Review
```
□ Analyze win rate by timeframe
□ Review entry/exit execution quality
□ Assess adherence to trading rules
□ Identify pattern improvements
□ Adjust parameters if necessary
```
### Monthly Evaluation
```
□ Calculate overall profitability
□ Review maximum drawdown periods
□ Assess emotional discipline
□ Update trading plan based on results
□ Consider strategy refinements
```
---
## 🎖️ Advanced Tips for Professionals
### Multi-Monitor Setup
```
Primary Screen: Main chart with indicator
Secondary Screen: Multi-timeframe view
Third Screen: Economic calendar + news
Mobile Device: Alert notifications
```
### Professional Entry Techniques
1. **Wait for 2+ confluence factors**
2. **Confirm with volume analysis**
3. **Use limit orders near VWAP levels**
4. **Scale into positions on strong signals**
### Exit Strategy Optimization
1. **Take partial profits at key levels**
2. **Trail stops on trending moves**
3. **Exit immediately on trend reversal signals**
4. **Honor predetermined risk-reward ratios**
---
## ⚡ Quick Reference Card
### Best Practices Summary
✅ **Always check higher timeframe first**
✅ **Wait for confluence of multiple indicators**
✅ **Use proper position sizing**
✅ **Set stops before entering**
✅ **Follow your trading plan strictly**
### Signal Reliability Ranking
1. **🚀 Strong Consensus** (Highest reliability)
2. **Multi-timeframe alignment** (High reliability)
3. **VWAP + RSI/MFI confluence** (Medium-high reliability)
4. **Single timeframe signals** (Medium reliability)
5. **Isolated crossovers** (Lowest reliability)
---
## 🔧 Troubleshooting Common Issues
### If Signals Are Too Frequent:
- Increase RSI/MFI periods
- Tighten overbought/oversold levels
- Add more confluence requirements
- Use higher timeframe bias
### If Signals Are Too Rare:
- Decrease RSI/MFI periods
- Widen overbought/oversold levels
- Reduce confluence requirements
- Lower signal smoothing value
### If Accuracy Is Poor:
- Review market conditions compatibility
- Strengthen higher timeframe filters
- Improve risk management
- Consider different timeframe combinations
**Remember**: This indicator is a comprehensive analysis tool. It's **not perfect in isolation** and must be used with proper **risk management** and **market understanding**!
Liquidity [NINE Θ]Liquidity
The Liquidity indicator is designed to automatically map out liquidity pools in the market by plotting swing highs and swing lows directly on your chart. These levels represent areas where stop orders and resting liquidity often accumulate — the zones that price is drawn toward and where major moves often originate.
This tool was built for traders who want a clear, minimal, and dynamic view of liquidity without the clutter of unnecessary signals.
🔑 Key Features
Automatic Swing Highs & Lows
Detects and plots liquidity levels based on customizable pivot parameters.
Dynamic Labels
Display price, timeframe, or both — giving you instant context for each liquidity level.
Custom Styling
Choose line style (solid/dashed/dotted), color themes, text size, and alignment to fit your chart layout.
Smart Extension & Cleanup
Extend lines until filled by price or automatically remove them once taken.
Optionally hide filled levels for a cleaner view.
Timeframe Awareness
Liquidity labels include the timeframe marker (e.g., , , ) to make multi-timeframe analysis seamless.
🎯 Why Use This?
Liquidity drives price. By highlighting where liquidity is resting — above highs and below lows — this indicator helps you anticipate sweeps, stop hunts, and potential reversal points.
Perfect for ICT-inspired traders, liquidity sweep strategies, or anyone who wants to see the market through the lens of liquidity.
⚙️ Recommended Use
Use on any market: futures, forex, stocks, or crypto.
Combine with session tools, order blocks, fair value gaps, or displacement concepts for confluence.
Works across all timeframes — from scalping to swing trading.
✨ Liquidity gives you the ability to map out liquidity pools automatically, stay one step ahead of the market, and trade with precision.