Bank Strategy v1 Pro # Bank Strategy v1 Pro - Advanced Institutional Trading System
## Overview
Bank Strategy v1 Pro is a sophisticated institutional-grade trading indicator designed for professional traders who understand advanced market microstructure concepts. This system implements the precise methodologies used by institutional traders to identify high-probability reversal opportunities through liquidity manipulation patterns.
## Core Methodology
### 🏦 **Institutional Trading Framework**
This strategy is built upon the fundamental principle that institutional players (banks, hedge funds, market makers) create specific patterns when accumulating or distributing positions. The indicator identifies these patterns through:
- **Liquidity Manipulation Sequences** - Detection of deliberate stop-loss hunting
- **False Move (FU) Patterns** - Identification of engineered price movements
- **Order Block Analysis** - Recognition of institutional accumulation/distribution zones
- **Imbalance Trading** - Exploitation of price inefficiencies
- **Market Structure Context** - Trend-based signal filtering
### 📊 **Advanced Signal Components**
#### 1. **Liquidity Zone Identification**
- Automated detection of swing highs/lows where retail stops accumulate
- Dynamic liquidity level tracking with 30-bar extension
- Real-time monitoring of liquidity sweeps and hunts
#### 2. **False Move (FU) Pattern Recognition**
- **Bullish FU**: High manipulation → Close below previous low (bearish trap)
- **Bearish FU**: Low manipulation → Close above previous high (bullish trap)
- Institutional reversal confirmation after liquidity grab
#### 3. **Order Block Detection**
- Bullish Engulfing: Strong institutional buying after bearish candle
- Bearish Engulfing: Strong institutional selling after bullish candle
- 20-bar forward projection for order block validity
#### 4. **Price Imbalance Analysis**
- Bullish Imbalance: Gap up indicating buying pressure
- Bearish Imbalance: Gap down indicating selling pressure
- 15-bar tracking with automatic labeling
## Signal Generation Logic
### 🎯 **Entry Criteria**
**Buy Signal Requirements:**
- Bearish FU pattern detected (liquidity grab below previous low)
- Price above 200 SMA (bullish market context)
- Liquidity lows available for targeting
- Signal confirmation enabled
**Sell Signal Requirements:**
- Bullish FU pattern detected (liquidity grab above previous high)
- Price below 200 SMA (bearish market context)
- Liquidity highs available for targeting
- Signal confirmation enabled
### 📈 **Advanced Entry Management**
- **Entry Level**: 50% retracement of manipulation candle body
- **Stop Loss**: 20% extension below/above manipulation range
- **Take Profit**: Configurable risk-reward ratio (1:1 to 1:5)
- **Timeout**: 15-bar automatic signal expiry
## Professional Features
### 🔧 **Customizable Parameters**
- **Signal Control**: Independent buy/sell signal toggles
- **Visual Elements**: Modular display of order blocks, imbalances, liquidity zones
- **Risk Management**: Adjustable risk-reward ratios up to 1:5
- **Market Structure**: Configurable swing length (3-20 periods)
- **MA Filter**: Optional 200 SMA trend context
### 📊 **Real-Time Status Monitoring**
Professional status table displaying:
- Current market trend direction
- Liquidity availability status
- Active entry waiting status
- Risk-reward configuration
- System health indicators
### 🚨 **Professional Alert System**
- **Signal Alerts**: Instant notification of buy/sell opportunities
- **Entry Alerts**: Confirmation when entry levels are reached
- **Custom Messages**: Detailed alert descriptions for trade management
## Advanced Visual Analysis
### 🎨 **Color-Coded Elements**
- **Green Boxes**: Bullish order blocks (institutional buying zones)
- **Red Boxes**: Bearish order blocks (institutional selling zones)
- **Blue/Orange Boxes**: Price imbalances requiring fill
- **Purple Boxes**: FU patterns with directional labels
- **Dotted Lines**: Key liquidity levels with labels
- **Yellow Lines**: Pending entry levels
### 📍 **Professional Labeling**
- Clear identification of all pattern types
- Directional bias indicators
- Entry confirmation markers
- Liquidity level annotations
## Risk Management Framework
### ⚠️ **Professional Trading Guidelines**
- **Timeframe Recommendation**: 4H+ for institutional signal reliability
- **Position Sizing**: Risk no more than 1-2% per signal
- **Confirmation**: Wait for entry level hits before position entry
- **Context**: Always consider overall market structure and sentiment
### 🛡️ **Built-in Protections**
- Automatic signal timeout prevents stale entries
- Trend context filtering reduces counter-trend risks
- Liquidity requirement ensures sufficient market depth
- Risk-reward enforcement maintains positive expectancy
## Performance Optimization
### ⚡ **Technical Specifications**
- **Pine Script v5**: Latest version compatibility
- **Resource Limits**: Optimized for 500 bars, 200 lines, 100 boxes, 200 labels
- **Processing**: Efficient array management for liquidity tracking
- **Memory**: Automatic cleanup of expired signals and objects
### 🎯 **Signal Quality**
- High-probability setups through multi-factor confirmation
- Institutional pattern recognition reduces retail noise
- Trend context filtering improves win rate
- Professional entry timing reduces slippage
## Educational Framework
### 📚 **Institutional Concepts**
This indicator teaches professional trading concepts:
- Market microstructure understanding
- Institutional order flow analysis
- Liquidity-based trading strategies
- Professional risk management techniques
### 🎓 **Skill Development**
- Pattern recognition training
- Market structure analysis
- Trade timing optimization
- Risk management discipline
## Disclaimer
This indicator is designed for professional traders with experience in institutional trading concepts. It requires understanding of market microstructure, liquidity dynamics, and professional risk management. Past performance does not guarantee future results. Always implement proper risk management and consider multiple analysis factors before making trading decisions.
## Compatibility
- **Markets**: Forex, Indices, Cryptocurrencies, Commodities
- **Timeframes**: Optimized for 1H and above (4H+ recommended)
- **Platform**: TradingView Pine Script v5
- **Features**: Full alert integration, customizable display options
Индикаторы и стратегии
Bank Strategy v2# Multi-Signal Confirmation Strategy (MSCS)
## Overview
The Multi-Signal Confirmation Strategy is a comprehensive technical analysis indicator that combines multiple confirmation signals to generate high-probability buy and sell opportunities. This indicator is designed to reduce false signals by requiring multiple technical confirmations before generating trading alerts.
## Key Features
### 🎯 **Multi-Confirmation System**
- Requires 2-5 confirmations before signal generation
- Reduces false signals and improves signal quality
- Customizable confirmation threshold
### 📊 **Technical Analysis Components**
1. **Trend Analysis** - Multiple moving average types (SMA, EMA, WMA, RMA)
2. **Liquidity Detection** - Identifies key support/resistance levels
3. **Manipulation Patterns** - Detects false moves and liquidity hunts
4. **Order Blocks** - Recognizes institutional order flow patterns
5. **Imbalances** - Identifies price gaps and imbalances
6. **Volume Analysis** - Detects significant volume spikes
### 🔍 **Signal Types**
#### Bullish Confirmations:
- Price above moving average (bullish trend)
- Support level liquidity hunt
- False move down pattern
- Bullish engulfing pattern
- Bullish gap/imbalance
- Volume spike confirmation
#### Bearish Confirmations:
- Price below moving average (bearish trend)
- Resistance level liquidity hunt
- False move up pattern
- Bearish engulfing pattern
- Bearish gap/imbalance
- Volume spike confirmation
## How to Use
### 📋 **Settings Configuration**
1. **Signal Configuration:**
- Set minimum confirmations (2-5 signals)
- Enable/disable status table display
2. **Visual Display:**
- Toggle liquidity levels visibility
- Show/hide manipulation zones
- Optional moving average line display
3. **Moving Average Settings:**
- Choose MA period (1-500, default: 200)
- Select MA type (SMA, EMA, WMA, RMA)
### 🎯 **Entry Management**
- Automatic entry level calculation (25% retracement from signal candle)
- Entry timeout after 10 bars to avoid stale signals
- Clear entry confirmation markers on chart
### 📈 **Visual Elements**
- **Green Triangle Up**: Buy signal generated
- **Red Triangle Down**: Sell signal generated
- **Yellow Lines**: Entry levels awaiting execution
- **"ENTRY" Labels**: Entry level triggered
- **Dashed Lines**: Key liquidity levels
- **Colored Boxes**: Manipulation zones (FM = False Move)
## Alert System
The indicator provides four types of alerts:
1. **Buy Signal Generated** - When bullish confirmations meet threshold
2. **Sell Signal Generated** - When bearish confirmations meet threshold
3. **Buy Entry Triggered** - When price reaches calculated buy entry level
4. **Sell Entry Triggered** - When price reaches calculated sell entry level
## Status Information Panel
The indicator includes a comprehensive status table showing:
- Current market trend direction
- Number of bullish confirmations active
- Number of bearish confirmations active
- Required confirmation threshold
- Current position status (awaiting buy/sell/none)
## Best Practices
### ✅ **Recommended Usage**
- Use higher timeframes (4H, Daily) for stronger signals
- Combine with proper risk management and position sizing
- Wait for entry level confirmation before taking trades
- Consider market context and overall trend direction
### ⚠️ **Risk Management**
- This indicator is for educational and analytical purposes
- Always use proper stop-loss and take-profit levels
- Do not risk more than you can afford to lose
- Backtest thoroughly before live trading
### 🔧 **Optimization Tips**
- Adjust confirmation requirements based on market volatility
- Higher confirmations = fewer but higher quality signals
- Lower confirmations = more signals but potentially more noise
- Test different MA periods for your specific market/timeframe
## Technical Specifications
- **Pine Script Version**: v5
- **Overlay**: Yes (displays on price chart)
- **Maximum Bars Back**: 100 (optimized for performance)
- **Repainting**: No (signals are final once bar closes)
## Educational Disclaimer
This indicator is designed for educational and informational purposes only. It should not be used as the sole basis for trading decisions. Always conduct your own analysis, consider multiple factors, and implement proper risk management strategies. Past performance does not guarantee future results.
Volatility Cone Forecaster Lite [PhenLabs]📊 Volatility Cone Forecaster
Version: PineScript™v6
📌Description
The Volatility Cone Forecaster (VCF) is an advanced indicator designed to provide traders with a forward-looking perspective on market volatility. Instead of merely measuring past price fluctuations, the VCF analyzes historical volatility data to project a statistical “cone” that outlines a probable range for future price movements. Its core purpose is to contextualize the current market environment, helping traders to anticipate potential shifts from low to high volatility periods (and vice versa). By identifying whether volatility is expanding or contracting relative to historical norms, it solves the critical problem of preparing for significant market moves before they happen, offering a clear statistical edge in strategy development.
This indicator moves beyond lagging measures by employing percentile analysis to rank the current volatility state. This allows traders to understand not just what volatility is, but how significant it is compared to the recent past. The VCF is built for discretionary traders, system developers, and options strategists who need a sophisticated understanding of market dynamics to manage risk and identify high-probability opportunities.
🚀Points of Innovation
Forward-Looking Volatility Projection: Unlike standard indicators that only show historical data, the VCF projects a statistical cone of future volatility.
Percentile-Based Regime Analysis: Ranks current volatility against historical data (e.g., 90th, 75th percentiles) to provide objective context.
Automated Regime Detection: Automatically identifies and labels the market as being in a ‘High’, ‘Low’, or ‘Normal’ volatility regime.
Expansion & Contraction Signals: Clearly indicates whether volatility is currently increasing or decreasing, signaling shifts in market energy.
Integrated ATR Comparison: Plots an ATR-equivalent volatility measure to offer a familiar point of reference against the statistical model.
Dynamic Visual Modeling: The cone visualization directly on the price chart provides an intuitive guide for future expected price ranges.
🔧Core Components
Realized Volatility Engine: Calculates historical volatility using log returns over multiple user-defined lookback periods (short, medium, long) for a comprehensive view.
Percentile Analysis Module: A custom function calculates the 10th, 25th, 50th, 75th, and 90th percentiles of volatility over a long-term lookback (e.g., 252 days).
Forward Projection Calculator: Uses the calculated volatility percentiles to mathematically derive and draw the upper and lower bounds of the future volatility cone.
Volatility Regime Classifier: A logic-based system that compares current volatility to the historical percentile bands to classify the market state.
🔥Key Features
Customizable Lookback Periods: Adjust short, medium, and long-term lookbacks to fine-tune the indicator’s sensitivity to different market cycles.
Configurable Forward Projection: Set the number of days for the forward cone projection to align with your specific trading horizon.
Interactive Display Options: Toggle visibility for percentile labels, ATR levels, and regime coloring to customize the chart display.
Data-Rich Information Table: A clean, on-screen table displays all key metrics, including current volatility, percentile rank, regime, and trend.
Built-in Alert Conditions: Set alerts for critical events like volatility crossing the 90th percentile, dropping below the 10th, or switching between expansion and contraction.
🎨Visualization
Volatility Cone: Shaded bands projected onto the future price axis, representing the probable price range at different statistical confidence levels (e.g., 75th-90th percentile).
Color-Coded Volatility Line: The primary volatility plot dynamically changes color (e.g., red for high, green for low) to reflect the current volatility regime, providing instant context.
Historical Percentile Bands: Horizontal lines plotted across the indicator pane mark the key percentile levels, showing how current volatility compares to the past.
On-Chart Labels: Clear labels automatically display the current volatility reading, its percentile rank, the detected regime, and trend (Expanding/Contracting).
📖Usage Guidelines
Setting Categories
Short-term Lookback: Default: 10, Range: 5-50. Controls the most sensitive volatility calculation.
Medium-term Lookback: Default: 21, Range: 10-100. The primary input for the current volatility reading.
Long-term Lookback: Default: 63, Range: 30-252. Provides a baseline for long-term market character.
Percentile Lookback Period: Default: 252, Range: 100-1000. Defines the period for historical ranking; 252 represents one trading year.
Forward Projection Days: Default: 21, Range: 5-63. Determines how many bars into the future the cone is projected.
✅Best Use Cases
Breakout Trading: Identify periods of deep consolidation when volatility falls to low percentile ranks (e.g., below 25th) and begins to expand, signaling a potential breakout.
Mean Reversion Strategies: Target trades when volatility reaches extreme high percentile ranks (e.g., above 90th), as these periods are often unsustainable and lead to contraction.
Options Strategy: Use the cone’s projected upper and lower bounds to help select strike prices for strategies like iron condors or straddles.
Risk Management: Widen stop-losses and reduce position sizes when the indicator signals a transition into a ‘High’ volatility regime.
⚠️Limitations
Probabilistic, Not Predictive: The cone represents a statistical probability, not a guarantee of future price action. Extreme, unpredictable news events can drive prices outside the cone.
Lagging by Nature: All calculations are based on historical price data, meaning the indicator will always react to, not pre-empt, market changes.
Non-Directional: The indicator forecasts the *magnitude* of future moves, not the *direction*. It should be paired with a directional analysis tool.
💡What Makes This Unique
Forward Projection: Its primary distinction is projecting a data-driven, statistical forecast of future volatility, which standard oscillators do not do.
Contextual Analysis: It doesn’t just provide a number; it tells you what that number means through percentile ranking and automated regime classification.
🔬How It Works
1. Data Calculation:
The indicator first calculates the logarithmic returns of the asset’s price. It then computes the annualized standard deviation of these returns over short, medium, and long-term lookback periods to generate realized volatility readings.
2. Percentile Ranking:
Using a 252-day lookback, it analyzes the history of the medium-term volatility and determines the values that correspond to the 10th, 25th, 50th, 75th, and 90th percentiles. This builds a statistical map of the asset’s volatility behavior.
3. Cone Projection:
Finally, it takes these historical percentile values and projects them forward in time, calculating the potential upper and lower price bounds based on what would happen if volatility were to run at those levels over the next 21 days.
💡Note:
The Volatility Cone Forecaster is most effective on daily and weekly charts where statistical volatility models are more reliable. For lower timeframes, consider shortening the lookback periods. Always use this indicator as part of a comprehensive trading plan that includes other forms of analysis.
Futures Position Size CalculatorIt will calculate and display how many contracts you can take based on your account balance, risk %, stop size, and instrument.
Live Trade Table [NuengChill]signal for live trade score
when you live trade you can add signal as you trade
table
1. trade number
2. type Buy or sell waiting
3. entry price
4. TP1 , TP2
5. SL
6. win/ Lose result
7. statue => Active , SL hit , TP hit , TP2 hit
Trade Status in Dollarsthis shows the value of a trade as it progresses in an easy to read huge font at the bottom of the last candle.
Normalized Volume Z-Score
The Normalized Volume Z-Score indicator measures how unusual the current trading volume is compared to its recent history.
It calculates the z-score of volume over a user-defined lookback period (default: 50 bars), optionally using log-volume normalization.
A z-score tells you how many standard deviations today’s volume is away from its mean:
Z = 0 → volume is at its average.
Z > 0 → volume is higher than average.
Z < 0 → volume is lower than average.
Threshold lines (±2 by default) highlight extreme deviations, which often signal unusual market activity.
How to Trade with It
High positive Z-score (> +2):
Indicates abnormally high volume. This often happens during breakouts, strong trend continuations, or capitulation events.
→ Traders may look for confirmation from price action (e.g., breakout candle, strong trend bar) before entering a trade.
High negative Z-score (< –2):
Indicates unusually low volume. This may signal lack of interest, consolidation, or exhaustion.
→ Traders may avoid entering new positions during these periods or expect potential reversals once volume returns.
Cross back inside thresholds:
When z-score returns inside ±2 after an extreme spike, it may suggest that the abnormal activity has cooled down.
Tips
Works best when combined with price structure (support/resistance, demand/supply zones).
Can be applied to crypto, stocks, forex, futures – anywhere volume is meaningful.
Log normalization helps reduce distortion when some days have extremely large volumes.
Smart Liquidity Switch, Try now!!!Allmost perfect. This is a liquidity switch, is not bad,maybe it help's you. Good luck and Jesus may be with us.
KeyLevel - AOCKeyLevel - AOC
✨ Features📈 Session Levels: Tracks high, low, and open prices for Asian, London, and New York sessions.📅 Multi-Timeframe Levels: Plots previous day, week, month, quarter, and yearly open/high/low levels.⚙️ Preset Modes: Choose Scalp, Intraday, or Swing presets for tailored level displays.🎨 Customizable Visuals: Adjust colors, line styles, and label abbreviations for clarity.🖼️ Legend Table: Displays a color-coded legend for quick reference to session and period levels.🔧 Flexible Settings: Enable/disable specific sessions or levels and customize UTC offsets.
🛠️ How to Use
Add to Chart: Apply the "KeyLevel - AOC" indicator on TradingView.
Configure Inputs:
Preset: Select Scalp, Intraday, or Swing, or use custom settings.
Session Levels: Toggle Asian, London, NY sessions and their open/high/low lines.
Period Levels: Enable/disable previous day, week, month, quarter, or yearly levels.
Visuals: Adjust colors, line widths, and label abbreviations.
Legend: Show/hide the legend table for level identification.
Analyze: Monitor key levels for support/resistance and session-based price action.
Track Trends: Use levels to identify breakouts, reversals, or consolidation zones.
🎯 Why Use It?
Dynamic Levels: Tracks critical price levels across multiple timeframes for comprehensive analysis.
Session Focus: Highlights key session price points for intraday trading strategies.
Customizable: Tailor displayed levels and visuals to match your trading style.
User-Friendly: Clear lines, labels, and legend table simplify price level tracking.
📝 Notes
Ensure timeframe compatibility (e.g., avoid daily charts for session levels).
Use M5 or higher timeframes for accurate session tracking; some levels disabled on M5.
Combine with indicators like RSI or MACD for enhanced trading signals.
Adjust UTC offset if session times misalign with your broker’s timezone.
RSI Dual Smoothed MAs + Trend color+ Alerts + MTFFeatures Implemented:
RSI with selectable source (OHLC/HL2/HLC3/OHLC4).
timeframe dropdown (tf) so you can select 1m, 3m, 5m, 15m, 30m, 1h, 3h, 4h, 1D, 1W, 1M
Two customizable MAs with selectable type (SMA, EMA, WMA, RMA, VWMA).
MA slope-based coloring (green = rising, red = falling, gray = flat).
Background shading (green = bullish, red = bearish).
Alerts for:
Bullish MA crossover
Bearish MA crossover
RSI Overbought (>70)
RSI Oversold (<30)
Inflection Level Displayer V.2Display: Weekly Support/ Resistance, Inflection Levels, Bullbear
Adjust: Line Color, strength, style, opacity
Add: Zone around Inflection Level
RSI OB/OSRSI OB/OS Signals indicator
The RSI OB/OS Signals indicator is an analysis and training tool that uses simple statistical learning (rolling correlations and z-scoring) to produce a smoothed, adaptive RSI weighting and signal line intended to highlight probable short-term RSI movements. The script does not attempt black-box machine-learning model export instead, it uses transparent building blocks — returns, RSI, ATR percentage, volume change (log), and raw volume — as predictors to estimate the likely next-bar RSI, then converts that estimate into a bounded “weight” and a smoothed signal line. The objective is educational: show how simple correlation-based weighting of standardized features can serve as an RSI augmentation and help traders identify higher-probability bullish or bearish RSI cross conditions, while making all internal reasoning visible and explainable.
At its core the indicator performs three conceptual steps each bar: first it computes a set of per-bar features aligned to the target (prior bar RSI) — specifically prior-bar log returns, prior-bar RSI, ATR as percent of price, the log change in volume and the prior-bar raw volume.
Second it standardizes these predictors through rolling z-scoring and computes rolling Pearson correlations between each standardized predictor and the target RSI over a user-configurable learning window. These correlations act as signed linear weights: predictors with higher absolute correlation are treated as more informative for that window.
Third it forms a linear prediction by summing correlation × z(feature) across the top correlated predictors, then maps that standardized prediction back to RSI scale using the rolling mean and standard deviation of the target. The mapped prediction is finally converted to a bounded “rsiWeight,” smoothed by a signal moving average, and used to produce bullish/bearish events on crossovers of preconfigured thresholds.
VWAP, buy/sell volume breakdown and simple tracking of the price move since the last signal are also displayed to help traders interpret the quality of signals.
The components are chosen for clear, complementary roles rather than as a random mashup. Prior-bar RSI embodies short-term momentum and is the natural prediction target.
Log returns add price-direction information; ATR percent encodes the intrabar volatility regime (helpful because RSI behaviour differs in high vs low volatility); the volume log-change and raw volume provide a participation signal indicating whether structural moves are supported by real activity. Standardizing predictors and using rolling correlations lets the script adapt its emphasis to the current regime: when volume changes correlate strongly with subsequent RSI moves, the algorithm will weight that predictor more heavily; when returns correlate more, weight shifts accordingly. Because the method is linear, transparent and computed on rolling windows you can reproduce and reason about the weight changes — a key requirement for educational clarity and TradingView compliance.
How to read and use the indicator practically: treat the smoothed rsiWeight line (ma_rsi) and its threshold crossings as an RSI-augmentation alert — not as a standalone automated buy/sell system. A practical workflow is: first inspect the dashboard and confirm the underlying drivers (which predictors show strong z-scores and which had high rolling correlation in the learning window); second check VWAP position and volume split to ensure that the price move is supported; third only consider signals that coincide with your higher-timeframe bias or structural support/resistance.
For example, a bullish crossover (ma_rsi crossing above −0.5) that occurs while VWAP is below price, buy volume share is elevated, and ATR is moderate is a higher-quality setup than the same crossing on thin volume and extreme ATR.
Use ATR or recent swing structure for stop placement and predefine risk per trade. Because the indicator tracks max points since the last signal, you can also use that metric as a simple intraday performance monitor.
Parameter tuning guidance: the learning window (learnLen) controls how quickly the correlation weights adapt; a short window (e.g., 10–20) makes the predictor weights responsive to regime shifts but also noisier; a longer window (e.g., 40–80) smooths weights and emphasizes longer-term relationships.
The rsiLen (target RSI length) should match your intended horizon — 14 is standard and balances responsiveness and smoothness. sigLen controls the smoothing of the predicted RSI weight: lower values make the signal line more reactive (useful for scalping), higher values produce smoother signals (useful for swing trades).
For low-liquidity instruments increase learnLen and sigLen to reduce false alarms; for high-speed intra-day work shorten them. Volume heuristics (volume thresholds) are instrument dependent — calibrate volume formatting and volumetric thresholds for equities versus futures or crypto.
Limitations and failure modes are explicit and important: the feature-selection approach is linear and based on Pearson correlation — it cannot capture nonlinear dependencies or temporal lags beyond the single lag studied, so it may miss relationships that require higher-order features.
The volume split used (close>open vs closeopen vs close
Liquidity HeatmapDescription: This script calculates liquidity based on CME data and visualizes it
on the chart as a heatmap. Areas with high volumes of liquidity will
be highlighted, providing insights into market activity.
Note: This script assumes that you have access to CME data and that the data is
available in the TradingView environment.
Комбинированный сигнал: MA10/MA40 + RSI50 + ЧайкинFriends, I share with you my indicator by strategy: crossing MA10/MA40 + RSI50 + Chaikin (above/below 0).
Indicator when the signal appears shows the entrance to the long/ short
The indicator works well on the trend. There may be false signals in the sidewall.
RSI MA Cross + Divergence Signal (fixed)🔹 Core Logic
RSI + Moving Average
The script calculates a standard RSI (default 14).
It then overlays a moving average (SMA/EMA/WMA, default 9).
When RSI crosses above its MA → bullish momentum.
When RSI crosses below its MA → bearish momentum.
Divergence Filter
Signals are only valid if there’s confirmed divergence:
Bullish divergence: Price makes a lower low, RSI makes a higher low.
Bearish divergence: Price makes a higher high, RSI makes a lower high.
Overbought / Oversold Filter
Optional extra:
Bullish signals only valid if RSI ≤ 30 (oversold).
Bearish signals only valid if RSI ≥ 70 (overbought).
This ensures signals happen in “stretched” conditions.
Risk & Trade Management
Entries taken only when all conditions align.
Exits can be managed with ATR stops, partial take-profits, breakeven moves, and trailing stops (we coded these in the strategy version).
Cooldown, session filters, and daily loss guard to keep risk tight.
🔹 Strengths
✅ High selectivity: Combining RSI cross + divergence + OB/OS means signals are rare but higher quality.
✅ Great at catching reversals: Divergence highlights where price may be running out of steam.
✅ Risk management baked in: ATR stops + partial exits smooth out equity curve.
✅ Works across markets: ES, FX, crypto — anywhere RSI divergences are respected.
✅ Flexible: You can loosen/tighten filters depending on aggressiveness.
🔹 Weaknesses
❌ Lag from pivots: Divergence only confirms after a few bars → you enter late sometimes.
❌ Choppy in ranges: In sideways markets, RSI divergences appear often and whipsaw.
❌ Filters reduce signals: With all filters ON (divergence + OB/OS + trend + session), signals can be very rare — may under-trade.
❌ Not standalone: Needs higher-timeframe context (trend, liquidity pools) to avoid counter-trend entries.
🔹 Best Ways to Trade It
Use Higher Timeframe Bias
Run the strategy on 15m/1H, but only trade in direction of higher timeframe trend (e.g., 4H EMA).
Example: If daily is bullish → only take bullish divergences.
Pair With Structure
Look for signals at key zones: HTF support/resistance, VWAP, or FVGs.
Divergence + RSI cross inside an FVG is a strong entry trigger.
Adjust OB/OS for Volatility
For crypto/FX: use 35/65 instead of 30/70 (markets trend harder).
For ES/S&P: 30/70 works fine.
Risk Management Is King
Use partial exits: take profit at 1R, trail rest.
Size by % of equity (we coded this into the strategy).
Avoid News Spikes
Divergences break down around CPI, NFP, Fed announcements — stay flat.
🔹 When It Shines
Trending markets that make extended pushes → clean divergences.
Reversal zones (oversold → bullish bounce, overbought → bearish fade).
Swing trading (15m–4H) — less noise than 1m/5m scalping.
🔹 When to Avoid
Low volatility chop → lots of false divergences.
During high-impact news → RSI swings wildly.
In strong one-way trends without pullbacks — divergence keeps calling tops/bottoms too early.
✅ Summary:
This is a reversal-focused RSI divergence strategy with strict filters. It’s powerful when combined with higher-timeframe bias + structure confluence, but weak if traded blindly in choppy or news-driven conditions. Best to treat it as a precision entry trigger, not a full system — layer it on top of your FVG/ORB framework for maximum edge.
Fixed GridThis Grid Indicator gives you full control.
You can configure it as you wish. If you need adjustments just comment.
Big thanks to Johnny Rakete und Dominik Busch.
Wish you all the best.
Range Grid From Two Levels (with intermediate lines)Range Grid From Two Levels of Initial Balance (works great with next day levels)
Rolling Range Bands by tvigRolling Range Bands
Plots two dynamic price envelopes that track the highest and lowest prices over a Short and Long lookback. Use them to see near-term vs. broader market structure, evolving support/resistance, and volatility changes at a glance.
What it shows
• Short Bands: recent trading range (fast, more reactive).
• Long Bands: broader range (slow, structural).
• Optional step-line style and shaded zones for clarity.
• Option to use completed bar values to avoid intrabar jitter (no repaint).
How to read
• Price pressing the short high while the long band rises → short-term momentum in a larger uptrend.
• Price riding the short low inside a falling long band → weakness with trend alignment.
• Band squeeze (narrowing) → compression; watch for breakout.
• Band expansion (widening) → rising volatility; expect larger swings.
• Repeated touches/rejections of long bands → potential areas of support/resistance.
Inputs
• Short Window, Long Window (bars)
• Use Close only (vs. High/Low)
• Use completed bar values (stability)
• Step-line style and Band shading
Tips
• Works on any symbol/timeframe; tune windows to your market.
• For consistent scaling, pin the indicator to the same right price scale as the chart.
Not financial advice; combine with trend/volume/RSI or your system for entries/exits.
VIDYA with trend centered SDs with Chandelier Exit By KidevThis multi-tool overlay combines adaptive averaging, volatility envelopes, and structural swing detection into a single, configurable indicator.
Features
• Selectable MA75 — choose SMA / EMA / WMA / VWMA / HMA as the 75-length baseline.
• MA Trend Mode — optional up/side/down regime coloring driven by MA slope (configurable colors).
• VIDYA (Variable Index Dynamic Average) — adaptive moving average with cross (C>V / CV / C
Volume Delta [Vu]The volume profile indicator is a technical analysis tool that visualizes trading activity at different price levels, rather than by time, on a price chart. It uses a horizontal histogram to show where high volumes of trades occurred, allowing traders to identify key price levels such as support and resistance, and to understand market sentiment. Key features include the Point of Control (POC), the price with the highest volume, and the Value Area, a range containing a significant portion of total trading
Pin Bar (Body in Half Candle)Pine Script: Relaxed PIN Bar Detection
This indicator highlights PIN Bars with slightly relaxed conditions, designed for better usability in real-market intraday trend and pullback scenarios.
Detection Criteria:
Body ≤ 38% of total candle size
→ Standard is ~33%; relaxed to 38% to include more usable patterns.
Wick ≥ 1.7 × body size
→ Standard is 2.0×; relaxed to 1.7× to capture slightly imperfect but meaningful rejection candles.
