VPOCS ZScoreAn indicator Showing Candle POC's.
Added a Zscore Filter to filter out the High volume candle's.
I like to use at Key Support and resistance Area's to see Absorbtion and Offside positions only on High volume Candles ( The high volume candle part is Key! ). Thoose candles Generally indicate forced participants opening or closing positions, or "Breakout traders entering" positions. When i see a Hi-Volume at S/R levels and price is rejecting ( trading away from the POC ) ill take that as a trigger for a trade.
- Dynamic Support and resistance.
- Show Offside and and Trapped traders
You can tweak the Zscore nominator for Less of more Frequent hits.
Indicators and strategies
Probability Cone█ Overview:
Probability Cone is based on the Expected Move . While Expected Move only shows the historical value band on every bar, probability panel extend the period in the future and plot a cone or curve shape of the probable range. It plots the range from bar 1 all the way to bar 31.
In this model, we assume asset price follows a log-normal distribution and the log return follows a normal distribution.
Note: Normal distribution is just an assumption; it's not the real distribution of return.
The area of probability range is based on an inverse normal cumulative distribution function. The inverse cumulative distribution gives the range of price for given input probability. People can adjust the range by adjusting the standard deviation in the settings. The probability of the entered standard deviation will be shown at the edges of the probability cone.
The shown 68% and 95% probabilities correspond to the full range between the two blue lines of the cone (68%) and the two purple lines of the cone (95%). The probabilities suggest the % of outcomes or data that are expected to lie within this range. It does not suggest the probability of reaching those price levels.
Note: All these probabilities are based on the normal distribution assumption for returns. It's the estimated probability, not the actual probability.
█ Volatility Models :
Sample SD : traditional sample standard deviation, most commonly used, use (n-1) period to adjust the bias
Parkinson : Uses High/ Low to estimate volatility, assumes continuous no gap, zero mean no drift, 5 times more efficient than Close to Close
Garman Klass : Uses OHLC volatility, zero drift, no jumps, about 7 times more efficient
Yangzhang Garman Klass Extension : Added jump calculation in Garman Klass, has the same value as Garman Klass on markets with no gaps.
about 8 x efficient
Rogers : Uses OHLC, Assume non-zero mean volatility, handles drift, does not handle jump 8 x efficient.
EWMA : Exponentially Weighted Volatility. Weight recently volatility more, more reactive volatility better in taking account of volatility autocorrelation and cluster.
YangZhang : Uses OHLC, combines Rogers and Garmand Klass, handles both drift and jump, 14 times efficient, alpha is the constant to weight rogers volatility to minimize variance.
Median absolute deviation : It's a more direct way of measuring volatility. It measures volatility without using Standard deviation. The MAD used here is adjusted to be an unbiased estimator.
You can learn more about each of the volatility models in out Historical Volatility Estimators indicator.
█ How to use
Volatility Period is the sample size for variance estimation. A longer period makes the estimation range more stable less reactive to recent price. Distribution is more significant on larger sample size. A short period makes the range more responsive to recent price. Might be better for high volatility clusters.
People usually assume the mean of returns to be zero. To be more accurate, we can consider the drift in price from calculating the geometric mean of returns. Drift happens in the long run, so short lookback periods are not recommended.
The shape of the cone will be skewed and have a directional bias when the length of mean is short. It might be more adaptive to the current price or trend, but more accurate estimation should use a longer period for the mean.
Using a short look back for mean will make the cone having a directional bias.
When we are estimating the future range for time > 1, we typically assume constant volatility and the returns to be independent and identically distributed. We scale the volatility in term of time to get future range. However, when there's autocorrelation in returns( when returns are not independent), the assumption fails to take account of this effect. Volatility scaled with autocorrelation is required when returns are not iid. We use an AR(1) model to scale the first-order autocorrelation to adjust the effect. Returns typically don't have significant autocorrelation. Adjustment for autocorrelation is not usually needed. A long length is recommended in Autocorrelation calculation.
Note: The significance of autocorrelation can be checked on an ACF indicator.
ACF
Time back settings shift the estimation period back by the input number. It's the origin of when the probability cone start to estimation it's range.
E.g., When time back = 5, the probability cone start its prediction interval estimation from 5 bars ago. So for time back = 5 , it estimates the probability range from 5 bars ago to X number of bars in the future, specified by the Forecast Period (max 1000).
█ Warnings:
People should not blindly trust the probability. They should be aware of the risk evolves by using the normal distribution assumption. The real return has skewness and high kurtosis. While skewness is not very significant, the high kurtosis should be noticed. The Real returns have much fatter tails than the normal distribution, which also makes the peak higher. This property makes the tail ranges such as range more than 2SD highly underestimate the actual range and the body such as 1 SD slightly overestimate the actual range. For ranges more than 2SD, people shouldn't trust them. They should beware of extreme events in the tails.
The uncertainty in future bars makes the range wider. The overestimate effect of the body is partly neutralized when it's extended to future bars. We encourage people who use this indicator to further investigate the Historical Volatility Estimators , Fast Autocorrelation Estimator , Expected Move and especially the Linear Moments Indicator .
The probability is only for the closing price, not wicks. It only estimates the probability of the price closing at this level, not in between.
Quantum Ribbon Lite📊 WHAT IS IT?
Quantum Ribbon Lite is a trend trading indicator built on a 5-layer exponential moving average ribbon system. It analyzes price momentum, volume, and ribbon alignment to generate entry signals with pre-calculated stop loss and take profit levels.
The indicator is designed for traders who want a straightforward approach to trend trading without managing complex configurations.
🔧 HOW IT WORKS
The Ribbon System
The indicator uses 5 pairs of EMAs (10 moving averages total) that create colored "clouds" on your chart:
Blue/Teal ribbons indicate bullish alignment
Red/Pink ribbons indicate bearish alignment
Mixed colors indicate neutral or transitional periods
The ribbon spacing automatically adjusts from a fast EMA (21) to a slow EMA (60), creating layers that show trend strength and direction.
Signal Generation
Signals appear when multiple conditions align:
For LONG signals:
Fast EMAs are above slow EMAs
Price momentum is positive and strong (> 0.5 ATR)
Volume is above average (> 1.1x average)
Ribbon confirms bullish state
Minimum confidence threshold met (filters weak setups)
For SHORT signals:
Fast EMAs are below slow EMAs
Price momentum is negative and strong
Volume is above average
Ribbon confirms bearish state
Minimum confidence threshold met
📈 VISUAL COMPONENTS
Entry Signals
Green "BUY" label = Long entry signal at candle close
Red "SELL" label = Short entry signal at candle close
Signals only trigger on confirmed candle closes (no repainting).
Risk Management Lines
Three lines appear when you have an active position:
White dotted line = Entry price
Red dotted line = Stop loss level
Green dotted line = Take profit target
Performance Dashboard
The stats table shows:
Current position status (In Long/Short or Waiting for signal)
Entry, stop, and target prices when in a trade
Win/loss record
Win rate percentage with color coding
⚙️ SETTINGS
1. Signal Sensitivity (1-10)
Controls the minimum time between signals (cooldown period):
1 = 2 bars between signals (most frequent)
5 = 10 bars between signals (balanced)
10 = 20 bars between signals (most selective)
Lower values generate more signals, higher values filter for better setups.
2. Stop Loss Distance
Determines how stops are calculated using ATR (Average True Range):
Tight = 1.5x ATR from entry
Normal = 2.0x ATR from entry
Wide = 2.5x ATR from entry
ATR adapts to market volatility, so stops are tighter in calm markets and wider in volatile markets.
3. Take Profit Target
Sets your risk-to-reward ratio:
1.5R = Target is 1.5 times your risk
2R = Target is 2 times your risk
3R = Target is 3 times your risk
Example: With a $100 stop distance and 2R setting, your take profit will be $200 away from entry.
4. Show Stats Table
Toggle to show/hide the performance dashboard in the top-right corner.
5. Show Risk Lines
Toggle to show/hide the entry/stop/target lines on the chart.
📋 HOW TO USE
Step 1: Apply to Chart
Add the indicator to your preferred instrument and timeframe (daily recommended).
Step 2: Wait for Signal
A BUY or SELL label will appear on the chart when conditions align.
Step 3: Enter Position
Enter at the close of the signal candle in the indicated direction.
Step 4: Set Risk Parameters Use the displayed lines:
Red line = Your stop loss
Green line = Your take profit
Step 5: Hold Position
Wait for the position to hit either the stop or target. No new signals will appear while you're in a position.
Step 6: Review Results
Check the stats table to track your win rate and adjust settings if needed.
🎯 RISK MANAGEMENT
Stop Loss Calculation
Stops are based on ATR (Average True Range) which measures recent price volatility:
In quiet markets: Stops are placed closer to entry
In volatile markets: Stops are placed further away
This adaptive approach helps prevent stop-hunting while maintaining appropriate risk levels.
Take Profit Calculation
Targets are calculated as a multiple of your stop distance:
If stop is 50 points away and you use 2R, target is 100 points away
Maintains consistent risk-reward ratios across all trades
Required Win Rates To break even after fees:
1.5R requires ~40% win rate
2R requires ~34% win rate
3R requires ~25% win rate
📊 RECOMMENDED USAGE
Timeframes:
Daily charts show strongest performance in testing
4H and 1H timeframes work but may have lower win rates
Lower timeframes generate more signals but reduced quality
Markets:
Works on all instruments: Stocks, Forex, Crypto, Futures, Indices
Best suited for trending markets
May generate false signals in tight ranges or choppy conditions
SPX Breadth – Stocks Above 200-day SMA//@version=6
indicator("SPX Breadth – Stocks Above 200-day SMA",
overlay = false,
max_lines_count = 500,
max_labels_count = 500)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Inputs
group_source = "Source"
breadthSymbol = input.symbol("SPXA200R", "Breadth symbol", group = group_source)
breadthTf = input.timeframe("", "Timeframe (blank = chart)", group = group_source)
group_params = "Parameters"
totalStocks = input.int(500, "Total stocks in index", minval = 1, group = group_params)
smoothingLen = input.int(10, "SMA length", minval = 1, group = group_params)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Breadth series (symbol assumed to be percent 0–100)
string tf = breadthTf == "" ? timeframe.period : breadthTf
float rawPct = request.security(breadthSymbol, tf, close) // 0–100 %
float breadthN = rawPct / 100.0 * totalStocks // convert to count
float breadthSma = ta.sma(breadthN, smoothingLen)
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Regime levels (0–20 %, 20–40 %, 40–60 %, 60–80 %, 80–100 %)
float lvl0 = 0.0
float lvl20 = totalStocks * 0.20
float lvl40 = totalStocks * 0.40
float lvl60 = totalStocks * 0.60
float lvl80 = totalStocks * 0.80
float lvl100 = totalStocks * 1.0
p0 = plot(lvl0, "0%", color = color.new(color.black, 100))
p20 = plot(lvl20, "20%", color = color.new(color.red, 0))
p40 = plot(lvl40, "40%", color = color.new(color.orange, 0))
p60 = plot(lvl60, "60%", color = color.new(color.yellow, 0))
p80 = plot(lvl80, "80%", color = color.new(color.green, 0))
p100 = plot(lvl100, "100%", color = color.new(color.green, 100))
// Colored zones
fill(p0, p20, color = color.new(color.maroon, 80)) // very oversold
fill(p20, p40, color = color.new(color.red, 80)) // oversold
fill(p40, p60, color = color.new(color.gold, 80)) // neutral
fill(p60, p80, color = color.new(color.green, 80)) // bullish
fill(p80, p100, color = color.new(color.teal, 80)) // very strong
//–––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
// Plots
plot(breadthN, "Stocks above 200-day", color = color.orange, linewidth = 2)
plot(breadthSma, "Breadth SMA", color = color.white, linewidth = 2)
// Optional label showing live value
var label infoLabel = na
if barstate.islast
label.delete(infoLabel)
string txt = "Breadth: " +
str.tostring(breadthN, format.mintick) + " / " +
str.tostring(totalStocks) + " (" +
str.tostring(rawPct, format.mintick) + "%)"
infoLabel := label.new(bar_index, breadthN, txt,
style = label.style_label_left,
color = color.new(color.white, 20),
textcolor = color.black)
WSMR v3.9 — WhaleSplash → Mean Reversal
# WSMR v3.9 — WhaleSplash → Mean Reversal
*A Non-Repainting Impulse‑Reversal Engine for Systematic Futures Trading*
## Overview
WSMR v3.9 is a complete impulse → exhaustion → mean‑reversion framework designed for systematic intraday trading. It identifies high‑energy displacement events (“WhaleSplashes”), measures volatility structure, tracks VWAP deviation, and confirms reversals using RSI divergence, Z‑Score resets, SMA20 reclaim, and pivot-based structure.
All signals are non‑repainting and alerts fire on bar close.
---
## Core Components
### 1. WhaleSplash (Short Impulse Event)
Triggered when a candle meets displacement conditions:
- Large bar range vs ATR
- Minimum % move
- Volume expansion
- VWAP deviation (tick-based)
- Z‑Score oversold / RSI exhaustion
- Volatility-gated
### 2. Mean Reversal Long (MR)
Requires:
- RSI bullish divergence
- Z‑Score reset
- SMA20 reclaim
- Higher-low confirmation
### 3. First-Candle Confirmation (Optional)
- MR Confirm → first green after MR
- WS Confirm → first red after WS
- TTL window configurable
### 4. Asia Session Filter
Optional restriction to:
**23:00 → 09:00 UTC**
### 5. Volatility Monitor
Detects:
- Normal
- Wicky
- Spiky
- Extreme
### 6. WS Frequency Analytics
Rolling frequency calculation across:
- Bars / Days / Weeks / Months
---
## Status Panel (Top-Right)
Shows:
- Mode (Global / Asia-only)
- Timeframe + TTL
- WS frequency
- Volatility state
---
## Alerts
- WhaleSplash SHORT
- WhaleSplash LONG (MR)
- MR Confirm LONG
- WS Confirm SHORT
- Volatility Warning
---
## Notes
- Fully non‑repainting
- Stable bar-close logic
- Optimised for 1m–5m
- Works on futures, indices, metals, FX
Research-Backed Intraday MTF MAsResearch-Backed Intraday Multi-Timeframe Moving Averages
A precision-tuned intraday trading indicator that displays four key moving averages across two critical timeframes:
📊 What It Shows:
- 1-Hour MAs: 75-period SMA & EMA (institutional flow patterns)
- 10-Minute MAs: 200-period SMA & EMA (intraday trend structure)
🎯 Designed For:
- Day traders seeking multi-timeframe confluence
- Identifying strong trending vs. choppy market conditions
- Support/resistance level identification
- Momentum and trend alignment signals
✨ Key Features:
- Optimized periods based on market structure analysis
- Fully customizable colors, transparency, and line widths
- Toggle each MA on/off independently
- Clean, non-cluttered chart display
- Efficient tuple-based data requests
💡 Trading Signals:
- Price above all 4 MAs = Strong bullish alignment
- Price below all 4 MAs = Strong bearish alignment
- Mixed signals = Range-bound conditions, reduce risk
Perfect for scalpers, day traders, and swing traders who want institutional-grade moving averages without the noise.
SuperTrend Oscillator MTF█ OVERVIEW
SuperTrend Oscillator MTF is a multi-timeframe version of the classic SuperTrend converted into an oscillator. Instead of drawing the SuperTrend line on the price chart, it displays the distance of the close from the SuperTrend line simultaneously for the current timeframe and two additional timeframes. This allows you to instantly see the trend direction and strength across three selected timeframes in a single window.
█ CONCEPT
The classic SuperTrend value is subtracted from price and normalized so that trend direction can be directly compared across different timeframes without switching charts.
- Value above zero = price below SuperTrend line → bearish trend
- Value below zero = price above SuperTrend line → bullish trend
- The further away from zero, the stronger the trend.
█ FEATURES
- Three SuperTrend Oscillator lines: current TF, TF1 and TF2
- Automatic detection of 3-timeframe agreement
- BUY and SELL labels that appear only when all three timeframes turn in the same direction at the same moment
- Circle signals on every zero-line cross of the current timeframe
- Configurable soft gradient fill (can be disabled)
- Zero line changes color (green/red/gray) depending on 3-TF agreement
- Fully customizable colors for each timeframe
- Built-in alerts for all signal types
█ HOW TO USE
Add the indicator to the chart → set two additional timeframes and adjust ATR Period and Factor to suit your trading style.
Main settings:
- ATR Period → default 10
- Factor → default 3.0 (higher = fewer signals)
- TF 1 and TF 2 → any timeframes (e.g. 1H+4H, 4H+D, D+W, etc.)
- Enable gradient → turn fill on/off
- Show BUY/SELL labels (3 TF agreement) → enable/disable the strongest signals
Interpretation:
Two types of signals:
- Green/red circles → current timeframe changes trend direction (faster signal)
- BUY/SELL labels → all three timeframes simultaneously switch to the same direction (strongest confluence)
- Additionally, the zero line turns green or red when all three trends are aligned.
█ APPLICATIONS
Perfect for:
- Trend-following with multi-timeframe confirmation
- Filtering false breakouts on lower timeframes
- Scalping & day trading (use fast circle signals)
- Swing & position trading (wait for full 3-TF agreement)
Best combined with:
- Support/resistance levels and supply/demand zones – enter long after a confirmed breakout and retest of a key level (e.g. Change of Character, Break of Structure, Order Block, 0.618–0.786 Fibonacci) only when the oscillator shows 3-TF agreement or at least a bullish circle. Hold the trade to the next significant resistance/supply zone.
- Volume and Volume Profile – confirm move strength with rising volume and high-volume nodes at the breakout level. Declining volume while moving away from zero may signal trend exhaustion.
- Classic oscillators (RSI, Stochastic, MACD) – use primarily for spotting divergences and overbought/oversold conditions. One of the safest exits is when a regular or hidden divergence appears on RSI/Stochastic in an extreme zone, even if SuperTrend Oscillator MTF still shows alignment.
█ NOTES
- Works on all markets and all timeframes
- BUY/SELL labels (3-TF agreement) are the cleanest and strongest signals
- Circle signals are faster but more prone to noise
- Higher ATR Period = fewer signals, higher quality
SuperTrend Fusion — Trend + Momentum + Volatility FilterSuperTrend Fusion — Trend + Momentum + Volatility Filter
SuperTrend Fusion — ATP is an original, multi-factor trend-filtering tool that enhances the classic SuperTrend by combining three market dimensions in one unified model:
1. Trend direction (SuperTrend)
Provides the base trend structure using ATR-based volatility bands.
2. Momentum confirmation (Average Force – adapted)
An adapted version of an open-source “Average Force” concept published on TradingView by racer8.
This component measures where closing price sits relative to recent highs/lows, smoothed to capture directional pressure.
3. Market condition filtering (Choppiness Index)
Filters out sideways, non-trending zones where SuperTrend alone typically produces false flips.
Together, these components create a cleaner, more selective system that focuses on higher-quality SuperTrend reversals, avoiding the most common whipsaws that occur during low-momentum or high-choppiness periods.
🔍 How it Works
A long signal occurs when:
- SuperTrend flips from downtrend to uptrend
- Momentum (AF) is positive (optional filter)
- The market is trending and not excessively choppy (optional filter)
A short signal triggers under the symmetrical conditions.
Filtered signals are visually marked with subtle “X” markers so traders can understand when a raw SuperTrend flip was rejected by the filters.
The indicator also includes:
Enhanced styling for better visibility
Colored bars during valid signals
Optional background highlight during choppy periods
🎯 What This Indicator Is Designed For
This tool aims to:
- Improve the quality of SuperTrend entries
- Remove many low-probability signals
- Help traders visually identify when the market has the momentum and structure required for cleaner trend continuation
It is not intended to predict markets or guarantee accuracy; rather, it provides structure and clarity for decision-making based on technical rules.
⚙️ Inputs
- ATR Length & Factor (SuperTrend)
- Average Force Period & Smoothing
- Choppiness Length & Threshold
- Option to enable/disable each filter individually
📘 Credits
This script includes an adapted version of an open-source “Average Force” function originally published on TradingView by its author, racer8.
SuperTrend and Choppiness Index components are derived from classical, public-domain formulas.
📌 Important Notes
This indicator is not a strategy and does not guarantee performance.
Signals are based on historical calculations only and do not use lookahead.
Past performance does not guarantee future results.
Always test different assets and timeframes before using in live conditions.
👍 Recommended Usage
For a clean experience:
- Use on standard candlestick charts
- Avoid non-standard chart types (Renko, Heikin Ashi, Kagi, Range)
- Combine with your own risk management and trade planning
Breakout Signal (Trend+ATR+ADX+Score)Breakout Signal – Trend + ATR + ADX + Strength Score
This indicator detects high-quality bullish breakout conditions using a multi-filter confirmation system designed to reduce false signals and highlight only strong momentum events.
A breakout signal triggers when all core conditions align:
📌 Breakout Conditions
1. Price Breakout
Breakout occurs when the current high exceeds the previous close by X%.
This avoids noisy open-based signals and focuses on genuine upward expansion.
2. Volume Spike
Current volume must be higher than the average volume × multiplier.
This ensures the breakout is supported by real trading activity.
3. Trend Filter (MA)
Price must be trading above a moving average.
This prevents counter-trend breakouts and focuses on momentum continuation.
4. ATR Rising
ATR must be rising relative to its own moving average.
A rising ATR confirms volatility expansion — a key ingredient of valid breakouts.
5. ADX Trend Strength
ADX must exceed a user-defined threshold (default: 20).
This confirms the market is in a strong trend environment, reducing false signals.
⭐ Breakout Strength Score (0–5)
Each of the 5 filters contributes 1 point:
Trend OK
Volume Spike
ATR Rising
ADX Strong
Price Breakout
A score label appears on valid breakouts:
5/5 → Very strong breakout
4/5 → Strong breakout
3/5 → Moderate breakout
0–2 → Weak / avoided signals
EMA + Sessions + RSI Strategy v1.0A professional trading strategy that combines multiple technical indicators for high-probability entries. This system uses EMA crossovers, RSI zone filtering, and trend confirmation to identify optimal trading opportunities while managing risk with advanced position management tools.
Key Features:
✅ Dual Entry Signals (EMA21 + EMA100 crossover conditions)
✅ Trend Filter EMA750 (trade only with the major trend)
✅ Complete Risk Management (SL 1%, TP 3% default)
✅ Trailing Stop & Breakeven (maximize profits, protect capital)
✅ Compact Statistics Table (real-time performance metrics)
✅ RSI & Session Filters (avoid low-probability setups)
✅ Optional Pyramiding (scale into winning positions)
Perfect for swing trading and trend-following on any timeframe. Fully customizable to match your trading style.
Position Size Calculator + Live R/R Panel — SMC/ICT (@PueblaATH)Position Size + Live R/R Panel — SMC/ICT (@PueblaATH)
Position Size + Live R/R Panel — SMC/ICT (@PueblaATH) is a professional-grade risk management and execution module built for Smart Money Concepts (SMC) and ICT Traders who require accurate, repeatable, institution-style trade planning.
This tool delivers precise position sizing, R:R modeling, leverage and margin projections, fee-adjusted PnL outcomes, and real-time execution metrics—all directly on the chart. Optimized for crypto, forex, and futures, it provides scalpers, day traders, and swing traders with the clarity needed to execute high-quality trades with confidence and consistency.
What the Indicator Does
Institutional Position Sizing Engine
Calculates position size based on account balance, % risk, and SL distance.
Supports custom minimum lot size rounding across crypto, FX, indices, and derivatives.
Intelligent direction logic (Auto / Long / Short) based on SMC/ICT structure.
Advanced Risk/Reward & Profit Modeling
Real-time R:R ratio using actual rounded position size.
Live PnL readout that updates with price movements.
Gross & net profit projections with full fee deduction.
Execution Planning with Draggable Levels
Entry, SL, and TP levels fully draggable for fast scenario modeling.
Automatic projected lines backward/forward with clean label alignment.
TP and SL tags include % movement from Entry, ideal for SMC/ICT journaling.
Precise modeling of real exchange fee structures
Maker fee per side
Taker fee per side
Mixed fee modes (Maker entry, Taker exit, Average, etc.)
Leverage & Margin Forecasting
Margin requirements displayed for 3 customizable leverage settings.
Helps traders understand capital commitment before executing the trade.
Useful for futures, crypto perps, and CFD setups.
Clean HUD Panel for Rapid Decision-Making
A full professional trading panel displays:
Target & actual risk
Position size
Entry / SL / TP
TP/SL percentage distance
Gross profit
Net profit (after fees)
Fees @ TP and @ SL
Live PnL
Margin requirements
Optimized for SMC & ICT Workflows
Perfect for traders using:
Breakers, FVGs, OBs
Liquidity sweeps
Session models
Precision entries (OTE, Displacement, Rebalancing)
Leverage-based execution (crypto perps, futures)
How to Use It
Attach the indicator to your chart.
Set account balance, risk %, fee model, and leverage presets.
Drag Entry, SL, and TP to shape the setup.
View instant calculations of: Position size; R:R; Net PnL after fees; Margin required
Use it as your pre-trade checklist & execution model.
Originality & Credits
This script is an original creation by @PueblaATH, released under the MPL 2.0 license.
It does not copy, modify, or repackage any existing TradingView code.
All logic—including the fee engine, margin calculator, responsive HUD, dynamic risk model, and visual execution system—is authored specifically for this indicator.
Moving Averages (10, 21, 50, 200)Moving Averages including 10, 21, 50 and 200 period. Intended mainly for use on a daily chart, but will work for any period.
Hybrid -WinCAlgo/// 🇬🇧
Hybrid - WinCAlgo is a weighted composite oscillator designed to provide a more robust and reliable signal than the standard Relative Strength Index (RSI). It integrates four different momentum and volume metrics—RSI, Money Flow Index (MFI), Scaled CCI, and VWAP-RSI—into a single 0-100 oscillator.
This powerful tool aims to filter market noise and enhance the detection of trend reversals by confirming momentum with trading volume and volume-weighted average price action.
⚪ What is this Indicator?
The Hybrid Oscillator combines:
* RSI (40% Weight): Measures fundamental price momentum.
* VWAP-RSI (40% Weight): Measures the momentum of the Volume Weighted Average Price (VWAP), providing strong volume confirmation for trend strength.
* MFI (10% Weight): Measures money flow volume, confirming momentum with liquidity.
* Scaled CCI (10% Weight): Tracks market extremes and potential trend shifts, scaled to fit the 0-100 range.
⚪ Key Features
* Composite Strength: Blends four different market factors for a multi-dimensional view of momentum.
* Volume Integration: High weights on VWAP-RSI and MFI ensure that momentum signals are backed by trading volume.
* Advanced Divergence: The robust formula significantly enhances the detection of Bullish and Bearish Divergences, often providing an earlier signal than traditional oscillators.
* Customizable: Adjustable Lookback Length (N) and Individual Component Weights allow users to fine-tune the oscillator for specific assets or timeframes.
* Visual Clarity: Uses 40/60 bands for earlier Overbought/Oversold indications, with a gradient-styled background for intuitive visual interpretation.
⚪ Usage
Use Hybrid – WinCAlgo as your primary momentum confirmation tool:
* Divergence Signals: Trust the indicator when it fails to confirm new price highs/lows; this signals imminent trend exhaustion and reversal.
* Accumulation/Distribution: Look for the oscillator to rise/fall while the price is ranging at a bottom/top; this confirms hidden buying or selling (accumulation).
* Overbought/Oversold: Use the 60 band as the trigger for potential selling/shorting signals, and the 40 band for potential buying/longing signals.
* Noise Filter: Combine with a higher timeframe chart (e.g., 4H or Daily) to filter out gürültü (noise) and focus only on significant momentum shifts.
---
Impulse Trend Suite (LITE) — V1.4+ Plu🚀 Impulse Trend Suite (LITE) — v1.4+
Smart trend visualization with precise flip arrows. A lightweight, momentum-filtered trend tool designed to stay clean, avoid repeated signals, and keep you focused only on real market direction.
FULL PRO VERSION --> fxsharerobots.com
✨ What’s New in v1.4+
Minor upgrades mostly visual
Added Blue fill between MA lines
clearer labels
📌 Core Features
Trend flip arrows (no spam, 1 signal per turn)
Continuous background zones (gap-free trend shading)
Adaptive Baseline + ATR structure channel
RSI + MACD momentum filter (suppresses weak signals)
Trend Status Panel (UP, DOWN, NEUTRAL)
🔍 Quick Guide
BUY setup = green arrow + green background
SELL setup = red arrow + red background
Stay in the move while color doesn’t change
ATR channel helps avoid chasing overextended candles
🆚 LITE vs PRO
========================================================
Feature LITE PRO
--------------------- -------- ------------------------------
Trend shading + arrows ✔ ✔ + confirmations
Neutral trend state ✔ ✔ enhanced
Alerts ✖ ✔ full suite
Reversal Zones ✖ ✔ predictive boxes
HTF Filter ✖ ✔ smarter trend bias
Included strategies ✖ ✔ + PDF training
🔓 Upgrade to PRO
Reversal Zones • Alerts • HTF Filter • Trend Continuation Strategy
👉 FULL PRO VERSION --> fxsharerobots.com
📈 Works on Forex, Stocks, Crypto, Indices, Metals
⌚ Scalping • Intraday • Swing • Long-term
==========================================================
🌠FULL PRO VERSION --> fxsharerobots.com/impulse-trend-pro/
💾 ALL DOWNLOADS --> fxsharerobots.com/downloads/
Happy trading! — FxShareRobots Team
Easy Crypto Signal FREEAs you can see, the indicator is doing well, we'll see what happens next, I invite you to the discussion
RSI Cross Below 30 – Red Background StripShows red bars on chart in instances where RSI drops below 30
EMA Low + Supertrend (Alerts)this strategy uses the EMA LOW(25 89 110 355 and 480) and the Supertrend. the supertrend gives you the BUY/SELL When the market flip
Z-score RegimeThis indicator compares equity behaviour and credit behaviour by converting both into z-scores. It calculates the z-score of SPX and the z-score of a credit proxy based on the HYG divided by LQD ratio.
SPX z-score shows how far the S&P 500 is from its rolling average.
Credit z-score shows how risk-seeking or risk-averse credit markets are by comparing high-yield bonds to investment-grade bonds.
When both z-scores move together, the market is aligned in either risk-on or risk-off conditions.
When SPX z-score is strong but credit z-score is weak, this may signal equity strength that is not supported by credit markets.
When credit z-score is stronger than SPX z-score, credit markets may be leading risk appetite.
The indicator plots the two z-scores as simple lines for clear regime comparison.
Structure Analysis + Hammer Alert# Structure Resistance + Hammer Alert
## 📊 Indicator Overview
This indicator integrates Structure Breakout Analysis with Candlestick Pattern Recognition, helping traders identify market trend reversal points and strong momentum signals. Through visual markers and background colors, you can quickly grasp the bullish/bearish market structure.
---
## 🎯 Core Features
### 1️⃣ Structure Resistance System
- Auto-plot Previous High/Low: Automatically marks key support/resistance based on pivot points
- Structure Breakout Detection: Shows "BULL" when price breaks above previous high, "BEAR" when breaking below previous low
- Trend Background Color: Green background for bullish structure, red background for bearish structure
### 2️⃣ Bullish Momentum Candles (Hammer Patterns)
Detects candles with long lower shadows, indicating strong buying pressure at lows:
- 💪Strong Bull (Bullish Hammer): Green marker, bullish close with significant lower shadow
- 💪Weak Bull (Bearish Hammer): Teal marker, bearish close but strong lower shadow
### 3️⃣ Bearish Momentum Candles (Inverted Hammer/Shooting Star)
Detects candles with long upper shadows, indicating strong selling pressure at highs:
- 💪Weak Bear (Bullish Inverted Hammer): Orange marker, bullish close but significant upper shadow
- 💪Strong Bear (Shooting Star): Red marker, bearish close with significant upper shadow
### 4️⃣ Smart Marker Sizing
Markers automatically adjust size based on current trend:
- With-Trend Signals: Larger markers (e.g., hammer in bullish trend)
- Counter-Trend Signals: Smaller markers (e.g., shooting star in bullish trend)
- Neutral Trend: Medium-sized markers
---
## ⚙️ Parameter Settings
### Structure Resistance Parameters
- Swing Length: Default 5, higher values = clearer structure but fewer signals
- Show Lines/Labels: Toggle on/off options
### Bullish Momentum (Hammer) Parameters
- Lower Shadow/Body Ratio: Default 2.0, lower shadow must be 2x body size
- Upper Shadow/Body Ratio Limit: Default 0.2, upper shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the top of candle
### Bearish Momentum (Inverted Hammer) Parameters
- Upper Shadow/Body Ratio: Default 2.0, upper shadow must be 2x body size
- Lower Shadow/Body Ratio Limit: Default 0.2, lower shadow cannot be too long
- Body Position Ratio: Default 2.0, ensures body is at the bottom of candle
### Filter & Display Settings
- Minimum Body Size: Filters out doji-like candles with tiny bodies
- Pattern Type Toggles: Show/hide different pattern types individually
- Background Transparency: Adjust background color intensity (higher = more transparent)
- Label Distance: Adjust marker distance from candles
---
## 📈 Usage Guidelines
### Trading Signal Interpretation
**Long Signals (Strongest to Weakest):**
1. Bullish Structure + Bullish Hammer (💪Strong Bull) → Strongest long signal
2. Bullish Structure + Bearish Hammer (💪Weak Bull) → Secondary long signal
3. Bearish Structure + Hammer → Potential reversal signal
**Short Signals (Strongest to Weakest):**
1. Bearish Structure + Shooting Star (💪Strong Bear) → Strongest short signal
2. Bearish Structure + Bullish Inverted Hammer (💪Weak Bear) → Secondary short signal
3. Bullish Structure + Shooting Star → Potential reversal signal
### Practical Tips
✅ Trend Following: Prioritize large marker signals (aligned with trend)
✅ Structure Confirmation: Wait for structure breakout before entry to avoid false breaks
✅ Multiple Timeframes: Confirm trend direction with higher timeframes
⚠️ Counter-Trend Caution: Small marker signals (counter-trend) require stricter risk management
---
## 🔔 Alert Setup
This indicator provides 9 alert conditions:
- Individual Patterns: Bullish Hammer, Bearish Hammer, Bullish Inverted Hammer, Shooting Star
- Combined Signals: Bullish Momentum, Bearish Momentum, Bull/Bear Momentum
- Structure Breakouts: Bullish Structure Break, Bearish Structure Break
---
## 💡 FAQ
**Q: Why do hammers sometimes appear without markers?**
A: Check "Minimum Body Size" setting - the candle body may be too small and filtered out
**Q: Too many or too few markers?**
A: Adjust "Lower Shadow/Body Ratio" or "Upper Shadow/Body Ratio" parameters - higher ratios = stricter conditions
**Q: How to see only the strongest signals?**
A: Disable "Bearish Hammer" and "Bullish Inverted Hammer", keep only "Bullish Hammer" and "Shooting Star"
**Q: Can it be used on all timeframes?**
A: Yes, but recommended for 15-minute and higher timeframes - shorter timeframes have more noise
---
## 📝 Disclaimer
⚠️ This indicator is a supplementary tool and should be used with other technical analysis methods
⚠️ Past performance does not guarantee future results - always practice proper risk management
⚠️ Recommended to test on demo account before live trading
---
**Version:** Pine Script v6
**Applicable Markets:** Stocks, Futures, Cryptocurrencies, and all markets
New York Midnight Day Separator by JPThis is an updated script with setting added for transparency, line type etc., thanks to the original publisher of this code.
50 EMA Rejection Strategy V4 (Correct Signal Logic)//@version=6
indicator("50 EMA Rejection Strategy V4 (Correct Signal Logic)", overlay=true, max_labels_count=500)
//================ INPUTS ================//
group50 = "EMA 50 Trio"
ema50HighLen = input.int(50,"EMA50 High",group=group50)
ema50CloseLen = input.int(50,"EMA50 Close",group=group50)
ema50LowLen = input.int(50,"EMA50 Low",group=group50)
groupBase = "Additional EMAs"
ema10Len = input.int(10,"EMA10")
ema200Len = input.int(200,"EMA200")
ema600Len = input.int(600,"EMA600")
ema2400Len = input.int(2400,"EMA2400")
useTrendFilter = input.bool(false,"Use Higher Time EMA Filter")
groupRR = "Risk Reward Settings"
RR1 = input.float(1.0,"TP1 RR",step=0.5)
RR2 = input.float(2.0,"TP2 RR",step=0.5)
//================ CALCULATIONS ================//
