BB Squeeze + Keltner Breakout + VolumeHow the Strategy Works
Bollinger Bands Squeeze: The strategy first looks for a "squeeze" in the Bollinger Bands. This happens when the bands narrow significantly, indicating a period of low market volatility and potential consolidation. The bbSqueeze variable becomes true when the Bollinger Bandwidth falls below a set
Bande e canali
Elliott Wave Oscillator + PSAR + VolumeStrategy Logic
1. Indicators
Elliott Wave Oscillator (EWO): This oscillator measures the difference between a 5-period and a 35-period exponential moving average (EMA). It's used to identify momentum shifts and potential wave structures. A buy signal is triggered when the EWO crosses above its signal line (a 5-period simple moving average). A sell signal is triggered when it crosses below.
Parabolic SAR (PSAR): This indicator shows potential reversals in price direction. A buy signal requires the PSAR to be below the current price, indicating an uptrend. A sell signal requires the PSAR to be above the current price, indicating a downtrend.
Volume: The strategy checks for significant changes in volume compared to its 20-period simple moving average (SMA). A buy signal requires a volume increase of at least 20% above the SMA. A sell signal requires a volume decrease of at least 20% below the SMA.
EMA 200: This long-term moving average is used to determine the overall market trend. A buy signal is only considered when the EMA 200 is rising (uptrend). A sell signal is only considered when the EMA 200 is falling (downtrend).
2. Entry and Exit Conditions
Long (Buy) Entry: A long position is entered if all of the following conditions are met:
EWO crosses its signal line upwards.
PSAR is below the price.
Volume has increased significantly.
The EMA 200 is rising.
The current candle is a bullish candle (close > open).
Short (Sell) Entry: A short position is entered if all of the following conditions are met:
EWO crosses its signal line downwards.
PSAR is above the price.
Volume has decreased significantly.
The EMA 200 is falling.
The current candle is a bearish candle (close < open).
Exit Conditions: Both long and short positions have a fixed 1% take profit and a 1% stop loss to manage risk.
In summary, the strategy only enters trades when a combination of momentum (EWO), trend (PSAR, EMA 200), and volume indicators align in the same direction, with strict risk management in place.
FFH_Golden Gate StrategyThe FFH_Golden Gate Strategy is a method designed to help identify strong opportunities to enter and exit the market with discipline. It works by following the natural flow of price movements and identifying when prices are trending higher in a consistent way. The strategy uses a special average that adapts to the market, helping to separate meaningful trends from random fluctuations.
A buy signal is generated when the price moves significantly above this average, indicating strong upward momentum. This approach ensures that trades are only taken when the market shows clear strength, rather than during sideways or uncertain conditions.
An exit signal occurs when the price falls below the average, suggesting that the upward trend may be weakening. This allows the strategy to lock in gains and avoid holding positions when the market is turning against you.
Overall, the strategy is based on the simple idea of following the trend, entering on strength, and exiting before losses grow, providing a structured and disciplined approach to trading without relying on guesswork or emotional decisions.
Smart Money Breakout Moving Strength [GILDEX]🟠OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
Smart Money Breakout Moving Strength [GILDEX]🟠OVERVIEW
This script draws breakout detection zones called “Smart Money Breakout Channels” based on volatility-normalized price movement and visualizes them as dynamic boxes with volume overlays. It identifies temporary accumulation or distribution ranges using a custom normalized volatility metric and tracks when price breaks out of those zones—either upward or downward. Each channel represents a structured range where smart money may be active, helping traders anticipate key breakouts with added context from volume delta, up/down volume, and a visual gradient gauge for momentum bias.
🟠CONCEPTS
The script calculates normalized price volatility by measuring the standard deviation of price mapped to a scale using the highest and lowest prices over a set lookback period. When normalized volatility reaches a local low and flips upward, a boxed channel is drawn between the highest and lowest prices in that zone. These boxes persist until price breaks out, either with a strong candle close (configurable) or by touching the boundary. Volume analysis enhances interpretation by rendering delta bars inside the box, showing volume distribution during the channel. Additionally, a real-time visual “gauge” shows where volume delta sits within the channel range, helping users spot pressure imbalances.
Extended AM Range w/ Breakout Markerscreates a range from market starting till 10 am (half an hour into the market
Indicador Millo SMA20-SMA200-AO-RSI M1This indicator is designed for scalping in 1-minute timeframes on crypto pairs, combining trend direction, momentum, and oscillator confirmation.
Logic:
Trend Filter:
Only BUY signals when price is above the SMA200.
Only SELL signals when price is below the SMA200.
Entry Trigger:
BUY: Price crosses above the SMA20.
SELL: Price crosses below the SMA20.
Confirmation Window:
After the price cross, the Awesome Oscillator (AO) must cross the zero line in the same direction within a maximum of N bars (configurable, default = 4).
RSI must be > 50 for BUY and < 50 for SELL at the moment AO confirms.
Cooldown:
A cooldown period (configurable, default = 10 bars) prevents multiple signals of the same type in a short time, reducing noise in sideways markets.
Features:
Works on any crypto pair and can be used in other markets.
Adjustable confirmation window, RSI threshold, and cooldown.
Alerts ready for BUY and SELL conditions.
Can be converted into a strategy for backtesting with TP/SL.
Suggested Use:
Pair: BTC/USDT M1 or similar high-liquidity asset.
Combine with manual support/resistance or higher timeframe trend analysis.
Recommended to confirm entries visually and with additional confluence before trading live.
Bollinger Bands x SmartBlackGirlBollinger Bands — Volatility & Breakout Zones
This Bollinger Bands tool dynamically adapts to market volatility, giving traders a visual framework for spotting overbought/oversold conditions, squeezes, and breakout opportunities.
Key Features
Dynamic Volatility Channels – Upper and lower bands expand during high volatility and contract during quiet periods.
Mean Reversion & Trend Trading – Price touching or piercing the bands can signal potential reversals or strong trend continuation.
Squeeze Detection – Narrowing bands indicate compression, often preceding explosive moves.
Fully Customizable – Adjust period, standard deviation, and colors to match your strategy.
Multi-Timeframe Friendly – Works on any chart, from scalping to swing trading.
How to Use
Squeeze Plays – Watch for band tightening; breakouts often follow.
Reversal Signals – Extreme touches combined with candlestick rejection may indicate turning points.
Trend Riding – Price “walking the band” can confirm strong momentum.
This indicator is ideal for traders who want a clear visual of volatility shifts, helping to anticipate when markets are likely to break out or revert to the mean.
Trading Sessionsconst string TZ_TOOLTIP_TEXT = "The session's time zone, specified in either GMT notation (e.g., 'GMT-5') or as an IANA time zone database name (e.g., 'America/New_York')."
smcCore Positioning
A comprehensive trading tool integrating trend tracking, price action, and Smart Money Concepts (SMC). Suitable for multiple assets like cryptocurrencies and forex, it specializes in scalping and swing trading, directly usable on the TradingView platform.
Key Features
Trend Identification
Supertrend: Generates buy/sell signals (🚀 for long, 🐻 for short) when price crosses the trend channel, indicating trend direction.
Cirrus Cloud: Green denotes bullish trends, red for bearish trends, visually reflecting trend strength.
Market Structure Analysis
Identifies BOS (Break of Structure) and CHoCH (Change of Character) to mark short-term (internal structure) and long-term (swing structure) price turning points.
Order Blocks (OB) & Fair Value Gaps (FVG): Highlights institutional capital concentration zones and price gaps, signaling potential support/resistance levels.
Risk Management
Automatically calculates 3 take-profit levels (TP1-TP3) and 1 stop-loss (SL), dynamically adjusted based on ATR. Specific prices and lines are displayed on the chart.
Auxiliary Tools
ADX Indicator: Judges trend strength; purple marks sideways ranges (low signal reliability).
Multi-timeframe compatibility: Optimized for 15-minute charts to adapt to high volatility in cryptocurrencies, with adjustable parameters to filter noise.
Use Cases
Scalping: Combine 15-minute FVG fills and order block breakouts for quick entries/exits.
Swing Trading: Leverage trend cloud + structure breakout signals to capture medium-term trends.
Suitability: Ideal for traders comfortable with short-term volatility and basic technical analysis.
Bollinger Bands x SamrtBlackGirlBollinger Bands — Volatility & Breakout Zones
This Bollinger Bands tool dynamically adapts to market volatility, giving traders a visual framework for spotting overbought/oversold conditions, squeezes, and breakout opportunities.
Key Features
Dynamic Volatility Channels – Upper and lower bands expand during high volatility and contract during quiet periods.
Mean Reversion & Trend Trading – Price touching or piercing the bands can signal potential reversals or strong trend continuation.
Squeeze Detection – Narrowing bands indicate compression, often preceding explosive moves.
Fully Customizable – Adjust period, standard deviation, and colors to match your strategy.
Multi-Timeframe Friendly – Works on any chart, from scalping to swing trading.
How to Use
Squeeze Plays – Watch for band tightening; breakouts often follow.
Reversal Signals – Extreme touches combined with candlestick rejection may indicate turning points.
Trend Riding – Price “walking the band” can confirm strong momentum.
This indicator is ideal for traders who want a clear visual of volatility shifts, helping to anticipate when markets are likely to break out or revert to the mean.
Pajinko DivergencePJK DIVERGENCE is a custom indicator designed to detect market divergence with high precision by combining multiple key market metrics.
It analyzes the relationship between Price Action and key momentum/trend indicators such as RSI, MACD, ADX, and Volume to highlight potential reversal or trend continuation opportunities.
This multi-layer approach allows traders to:
Spot bullish divergence (when price makes lower lows but momentum makes higher lows).
Spot bearish divergence (when price makes higher highs but momentum makes lower highs).
Filter out weak signals by confirming with trend strength (ADX) and volume activity.
How It Works
The script continuously compares price swings with momentum oscillators to identify divergence.
Bullish signals appear when momentum shows strength despite falling prices.
Bearish signals appear when momentum weakens despite rising prices.
ADX is used to confirm trend conditions, and Volume is analyzed to validate market participation.
How to Use
Apply PJK DIVERGENCE to your chart.
Look for bullish or bearish divergence markers and confirm with trend/volume conditions.
Use divergence signals as an early warning for possible trend reversals or as confirmation for existing trade setups.
For best results, combine with the Semi-Auto EA “Cyborg” to manage entries, exits, and risk.
Example Use Cases
Swing Trading: Spot reversal zones before major price movements.
Trend Following: Use divergence to identify potential pullbacks within a trend.
Breakout Trading: Confirm breakout strength by checking for the absence of bearish divergence.
FlowScape PredictorFlowScape Predictor is a non-repainting, regime-aware entry qualifier that turns complex market context into two readiness scores (Long & Short, each 0/25/50/75/100) and clean, confirmed-bar signals. It blends three orthogonal pillars so you act only when trend energy, momentum, and location agree:
Regime (energy): ATR-normalized linear-regression slope of a smooth HMA → EMA baseline, gated by ADX to confirm when pressure is meaningful.
Momentum (push): RSI slope alignment so price has directional follow-through, not just drift.
Structure (location): proximity to pivot-confirmed swings, scaled by ATR, so “ready” appears near constructive pullbacks—not mid-trend chases.
A soft ATR cloud wraps the baseline for context. A yellow Predictive Baseline extends beyond the last bar to visualize near-term trajectory. It is visual-only: scores/alerts never use it.
What you see
Baseline line that turns green/red when regime is strong in that direction; gray when weak.
ATR cloud around the baseline (context for stretch and pullbacks).
Scores (Long & Short, 0–100 in steps of 25) and optional “L/S” icons on bar close.
Yellow Predictive Baseline that extends to the right for a few bars (visual trajectory of the smoothed baseline).
The scoring system (simple and transparent)
Each side (Long/Short) sums four binary checks, 25 points each:
Regime aligned: trendStrong is true and LR slope sign favors that side.
Momentum aligned: RSI side (>50 for Long, <50 for Short) and RSI slope confirms direction.
Baseline side: price is above (Long) / below (Short) the baseline.
Location constructive: distance from the last confirmed pivot is healthy (ATR-scaled; not overstretched).
Valid totals are 0, 25, 50, 75, 100.
Best-quality signal: 100/0 (your side/opposite) on bar close.
Good, still valid: 75/0, especially when the missing block is only “location” right as price re-engages the cloud/baseline.
Avoid: 75/25 or any opposition > 0 in a weak (gray) regime.
The Predictive (Kalman) line — what it is and isn’t
The yellow line is a visual forward extension of the smoothed baseline to help you see the current trajectory and time pullback resumptions. It does not predict price and is excluded from scores and alerts.
How it’s built (plain English):
We maintain a one-dimensional Kalman state x as a smoothed estimate of the baseline. Each bar we observe the current baseline z.
The filter adjusts its trust using the Kalman gain K = P / (P + R) and updates:
x := x + K*(z − x), then P := (1 − K)*P + Q.
Q (process noise): Higher Q → expects faster change → tracks turns quicker (less smoothing).
R (measurement noise): Higher R → trusts raw baseline less → smoother, steadier projection.
What you control:
Lead (how many bars forward to draw).
Kalman Q/R (visual smoothness vs. responsiveness).
Toggle the line on/off if you prefer a minimal chart.
Important: The predictive line extends the baseline, not price. It’s a visual timing aid—don’t automate off it.
How to use (step-by-step)
Keep the chart clean and use a standard OHLC/candlestick chart.
Read the regime: Prefer trades with green/red baseline (trendStrong = true).
Check scores on bar close:
Take Long 100 / Short 0 or Long 75 / Short 0 when the chart shows a tidy pullback re-engaging the cloud/baseline.
Mirror the logic for shorts.
Confirm location: If price is > ~1.5 ATR from its reference pivot, let it come back—avoid chasing.
Set alerts: Add an alert on Long Ready or Short Ready; these fire on closed bars only.
Risk management: Use ATR-buffered stops beyond the recent pivot; target fixed-R multiples (e.g., 1.5–3.0R). Manage the trade with the baseline/cloud if you trail.
Best-practice playbook (quick rules)
Green light: 100/0 (best) or 75/0 (good) on bar close in a colored (non-gray) regime.
Location first: Prefer entries near the baseline/cloud right after a pullback, not far above/below it.
Avoid mixed signals: Skip 75/25 and anything with opposition while the baseline is gray.
Use the yellow line with discretion: It helps you see rhythm; it’s not a signal source.
Timeframes & tuning (practical defaults)
Intraday indices/FX (5m–15m): Demand 100/0 in chop; allow 75/0 when ADX is awake and pullback is clean.
Crypto intraday (15m–1h): Prefer 100/0; 75/0 on the first pullback after a regime turn.
Swing (1h–4h/D1): 75/0 is often sufficient; 100/0 is excellent (fewer but cleaner signals).
If choppy: raise ADX threshold, raise the readiness bar (insist on 100/0), or lengthen the RSI slope window.
What makes FlowScape different
Energy-first regime filter: ATR-normalized LR slope + ADX gate yields a consistent read of trend quality across symbols and timeframes.
Location-aware entries: ATR-scaled pivot proximity discourages mid-air chases, encouraging pullback timing.
Separation of concerns: The predictive line is visual-only, while scores/alerts are confirmed on close for non-repainting behavior.
One simple score per side: A single 0–100 readiness figure is easier to tune than juggling multiple indicators.
Transparency & limitations
Scores are coarse by design (25-point blocks). They’re a gatekeeper, not a promise of outcomes.
Pivots confirm after right-side bars, so structure signals appear after swings form (non-repainting by design).
Avoid using non-standard chart types (Heikin Ashi, Renko, Range, etc.) for signals; use a clean, standard chart.
No lookahead, no higher-timeframe requests; alerts fire on closed bars only.
Sumits EMA Clouds (Modified)Overview
Sumit’s EMA Clouds (Modified) is a versatile trend-tracking and momentum-visualization tool designed for TradingView.
It overlays multiple exponential (or simple) moving average (MA) clouds directly on the price chart, helping traders quickly assess trend direction, strength, and possible reversal zones.
The indicator combines short-term and long-term MA pairs into “clouds,” color-coded for bullish or bearish bias, making it easy to interpret market structure at a glance.
Key Features
Customizable MA Type
Option to switch between EMA and SMA for all calculations.
Adjustable price source (default: (high + low) / 2) for fine-tuning.
Five Independent EMA Clouds
Cloud 1: EMA 5 vs EMA 30
Cloud 2: EMA 9 vs EMA 34
Cloud 3: EMA 13 vs EMA 45
Cloud 4: EMA 26 vs EMA 50
Cloud 5: EMA 26 vs EMA 200 (for major trend bias)
Trend-Based Coloring
Cloud Fill Color: Turns green/blue when the short MA is above the long MA (bullish bias), red/orange/pink when below (bearish bias).
Line Color: Adapts dynamically to the MA’s slope — olive/green for upward momentum, maroon/red for downward.
Toggle Visibility
Option to hide/show individual EMA clouds.
Option to hide/show MA lines while keeping only the shaded clouds for a cleaner look.
Offset & Leading Display
Ability to offset plotted MAs to project them forward for visual clarity or predictive modeling.
Trading Applications
Trend Confirmation:
Clouds expanding with bullish colors indicate strengthening upward trends; contracting or color-flipping clouds may signal reversals.
Dynamic Support/Resistance:
Price often reacts to cloud boundaries; the thicker the cloud, the stronger the zone.
Multi-Timeframe Consistency:
Works well across intraday, swing, and positional setups — shorter clouds for quick trades, longer clouds for macro trend guidance.
Momentum Visualization:
Changing slope colors give early hints of acceleration or weakening momentum.
How to Interpret
All Clouds Bullish (aligned & greenish):
Strong uptrend — consider trend-following entries.
All Clouds Bearish (aligned & reddish):
Strong downtrend — look for shorting opportunities.
Mixed Signals (clouds crossing in different directions):
Possible trend exhaustion or consolidation — avoid over-aggressive entries.
200 EMA Cloud (Cloud 5):
Acts as a “macro trend filter” — many traders only trade in the direction of this cloud.
The Barking Rat PercentilesPercentile Reversion with Multi-Layered Smoothing
The Barking Rat Percentiles is a multi-tiered reversion strategy based on fixed percentage movements away from the mean, designed to capture price extremes through a structured, practical approach. It combines statistically derived percentile bands, RSI momentum filtering, and ATR-driven exits to identify potential turning points while managing opportunity with precision. The aim is to isolate high-quality reversal opportunities at progressively deeper extremes while avoiding noise and low-conviction setups.
At its core, the strategy measures the current market position relative to long-term percentile thresholds. When price moves significantly beyond these smoothed levels and momentum shows signs of exhaustion, staged entries are triggered. Exits are managed using independent ATR-based take profit and stop loss logic to adapt to varying volatility conditions.
🧠 Core Logic: Tiered Extremes & Structured Management
This strategy is intentionally methodical, layering multiple thresholds and validation checks before highlighting potential setups. By combining percentile-based extremes with momentum confirmation and adaptive trade management, it offers a disciplined and repeatable framework for mean reversion trading.
1. Percentile Thresholds as the Primary Framework
The script calculates the highest high and lowest low over a long lookback period of more than 1000 candles to define the overall price range. It then derives upper and lower percentile thresholds to determine extreme price levels. These thresholds are smoothed using a simple moving average to filter out short-term noise, ensuring that only statistically significant deviations from the mean are considered for potential trades.
2. Multi-Tier Entry Levels
Based on the percentile distance away from the mean, the script plots and references five discrete trigger levels beyond the primary thresholds for both long and short positions. Each tier represents progressively deeper extremes, typically 1–3% beyond the smoothed threshold, balancing the benefits of early entries with the safety of more confirmed extremes. Custom logic ensures only one signal is generated per threshold level, avoiding duplicate entries in the same zone.
3. RSI Momentum Filter
A 14-period RSI filter is applied to prevent entering trades against strong momentum. Long trades are only triggered when RSI falls below 30 (oversold), and short trades only when RSI rises above 70 (overbought). This helps align entries with potential exhaustion points, reducing the risk of entering prematurely into a strong ongoing trend.
4. ATR-Based Trade Management
For each trade sequence, the strategy will exit on the first exit condition met: either the take profit (TP) or the stop loss (SL). Because the TP uses a smaller ATR multiplier, it’s generally closer to the entry price, so most trades will hit the TP before reaching the SL. The SL is intentionally set with a larger ATR multiplier to give the trade room to develop, acting as a protective fallback rather than a frequent exit.
So in practice, you’ll usually see the TP executed for a trade, and the SL only triggers in cases where price moves further against the position than expected.
5. Position Reset Logic
Once price returns to the smoothed threshold region, all entry tiers in that direction are reset. This allows the system to prepare for new opportunities if the market revisits extreme levels, without triggering duplicate trades at the same threshold.
Why These Parameters Were Chosen
Multi-tier thresholds ensure that only meaningful extremes are acted upon, while the long-range SMA provides historical context and filters out noise. The staged entry logic per level balances the desire for early participation with the discipline of risk management. ATR-based TP and SL levels adapt to changing volatility, while the RSI filter improves timing by aligning trades with potential exhaustion points. Together, these elements create a balanced, structured, and repeatable approach to mean reversion trading.
📈 Chart Visuals: Clear & Intuitive
Green “▲” below a candle: Potential long entry
Red “▼” above a candle: Potential short entry
Blue “✔️”: Exit when ATR take profit is hit
Orange “✘”: Exit when ATR stop loss is hit
Tier threshold lines (smoothed upper/lower bounds)
🔔Alerts: Stay Notified Without Watching
The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed.
You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring.
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: SOLUSDT
Backtesting range: Jul 28, 2025 — Aug 14, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Percentiles strategy is ultra-selective, filtering out over 90% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods
The strategy generates a sizeable number of trades, reducing reliance on a single outcome
Combined with conservative filters, the 25% setting offers a balance between aggression and control
Users are strongly encouraged to customize this to suit their risk profile.
🔍 What Makes This Strategy Unique?
Multi-Tier Percentile Triggers – Instead of relying on a single overbought/oversold zone, this strategy uses five distinct entry tiers per direction, allowing for staged, precision entries at progressively deeper extremes.
Long-Term Percentile Smoothing – By calculating extremes over a 1000+ candle range and smoothing them with a moving average, the strategy focuses only on statistically significant deviations.
Custom One-Signal-Per-Tier Logic – Prevents duplicate trades at the same threshold level, reducing overtrading and noise.
Dual ATR Exit System – Independent TP and SL levels adapt to volatility. TP uses a smaller ATR multiplier for realistic, achievable exits and generally executes first, while the SL has a larger ATR multiplier to provide protective breathing room if the trade moves further against the position.
Momentum-Aware Filtering – A 14-period RSI filter ensures trades are only taken when momentum is likely exhausted, avoiding entries into strong trends.
Automatic Position Reset – Once price normalizes, tiers reset, allowing for fresh entries without interference from previous trades.
Advanced VWAP Position SizerBelow is a TradingView description for the "Advanced VWAP Position Sizer" script, written in a clear and concise manner suitable for the platform's indicator description field. The description highlights the script's purpose, features, and usage instructions, tailored to its functionality based on the provided code.
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### Advanced VWAP Position Sizer
**Category:** Custom Indicators
**Type:** Overlay
The **Advanced VWAP Position Sizer** is a powerful trading tool that combines the Volume Weighted Average Price (VWAP) with dynamic position sizing based on your portfolio risk tolerance. This indicator calculates the VWAP with customizable anchor periods and band levels, then determines the optimal trade size to ensure the full distance between the VWAP centerline and a selected band does not exceed 0.3% of your daily portfolio balance. Ideal for day traders seeking to manage risk effectively while leveraging VWAP-based strategies.
#### Key Features:
- **Customizable VWAP**: Adjust the anchor period (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits) to reset the VWAP calculation based on your preferred timeframe.
- **Band Calculations**: Displays upper and lower bands using Standard Deviation or Percentage-based multipliers (1.0, 2.0, 3.0), with options to show/hide each band level.
- **Percentage Difference**: Calculates the percentage difference between the VWAP centerline and the selected band (Upper or Lower), automatically chosen based on trade direction (Long/Short).
- **Position Sizing**: Determines the number of shares to trade based on a user-defined portfolio balance and a 0.3% risk limit, accounting for stop loss distance, commissions, and slippage.
- **Interactive Table**: Displays real-time data including Risk per Trade, VWAP-to-Band Distance, Band % Difference, Risk per Share, Shares, and Position Value, with black text for readability.
- **Flexible Entry**: Supports manual entry price or uses the current price, with customizable stop levels relative to the band distance.
#### How to Use:
1. **Input Your Settings**:
- Set your daily **Portfolio Balance** (e.g., $50,000) to reflect your current capital.
- Adjust the **Risk % of Portfolio** (default 0.3%) to define your risk tolerance.
- Choose your **Direction** (Long or Short) and **Band** (Upper, Lower, or Auto by Direction).
- Select **Entry Price** mode (Current Price or Manual) and set a manual entry if needed.
- Configure **VWAP Settings** (Anchor Period, Source, Offset) and **Bands Settings** (Calculation Mode, Multipliers).
- Add **Commission** and **Slippage** per share, and enable **Fractional Shares** if desired.
- Position the table (Top Right, Bottom Right, Top Left, Bottom Left).
2. **Interpret the Table**:
- **Risk / Trade**: Total risk amount based on your portfolio and risk percentage.
- **VWAP→Band Dist**: Dollar distance from VWAP to the selected band.
- **Band % Diff**: Percentage difference between VWAP and the band, ensuring it stays within 0.3% of your portfolio.
- **Risk / Share**: Risk per share including stop distance and costs.
- **Shares**: Recommended number of shares to trade.
- **Position $**: Total position value based on shares and entry price.
3. **Trading Strategy**:
- Use the VWAP as a trend indicator and the bands for potential entry/exit points.
- Adjust your position size to align with the calculated shares, ensuring your risk does not exceed 0.3% of your portfolio balance.
- Monitor the **Entry** and **Stop** plots for trade execution and risk management.
#### Notes:
- This indicator overlays on the price chart and requires volume data to function correctly.
- The table updates on the last bar and may not display on timeframes (1D or above) if "Hide VWAP on 1D or Above" is enabled.
- Ensure your portfolio balance is updated daily to reflect accurate risk calculations.
- Compatible with Pine Script v6; adjust to v5 if compatibility issues arise.
**Disclaimer**: This is not financial advice. Consult a financial advisor and avoid sharing personal identifiable information.
Breakout asia USD/CHF1 — Customizable Parameters
sess1 & sess2: The two time ranges that define the Asian session (e.g., 20:00–23:59 and 00:00–08:00).
Important: format is HHMM-HHMM.
rr: The risk/reward ratio (default = 3.0, meaning TP = 3× risk size).
onePerSess: Toggle to allow only one trade per Asian session or multiple.
bufTicks: Extra margin for the SL beyond the signal candle.
2 — Detecting the Asian Session
The script checks if the candle’s time is inside the first range (sess1) or inside the second range (sess2).
While inside the Asian session, it updates the current high and low.
When the session ends, it locks in these levels as rangeHigh and rangeLow.
3 — Step 1: Detecting the Initial Breakout
Bullish breakout → close above rangeHigh → flag breakoutUp is set to true.
Bearish breakout → close below rangeLow → flag breakoutDown is set to true.
No trade yet — this is just the breakout signal.
4 — Step 2: Waiting for the Retest
If a bullish breakout occurred, wait for the price to return to or slightly below rangeHigh and then close back above it.
If a bearish breakout occurred, wait for the price to return to or slightly above rangeLow and then close back below it.
5 — Entry & Exit
When the retest is confirmed:
strategy.entry() is triggered.
SL = behind the retest confirmation candle (with optional bufTicks margin).
TP = entry price ± RR × risk size.
If onePerSess is enabled, no further trades happen until the next Asian session.
6 — Chart Display
Green line = locked Asian session high.
Red line = locked Asian session low.
Light blue background = active Asian session hours.
Trade entries are shown on the chart when retests occur.
Trading StreetTrading Street Indicator
Trading Street is a comprehensive trading indicator that combines session timing analysis with technical trend analysis. It provides traders with visual cues for optimal trading times and market direction, making it perfect for forex and crypto trading.
Key Features
🕐 Trading Session Detection
Asia Session: 05:30 - 14:30 IST (Indian Standard Time)
London Session: 12:30 - 20:30 IST
New York Session: 18:30 - 02:30 IST (overnight)
Visual Session Backgrounds: Each session is highlighted with distinct colors
Session Overlap Handling: Smart precedence system (NY > London > Asia)
📊 Technical Analysis
50 EMA (Exponential Moving Average): Default golden line for trend analysis
Customizable EMA: Adjustable length (1-200 periods)
Trend Background: Green when price > EMA (bullish), Red when price < EMA (bearish)
Visual Trend Signals: Background colors change based on price vs EMA relationship
🎨 Customization Options
Session Colors: Customize Asia (green), London (blue), New York (orange)
EMA Settings: Adjust color, width, and length
Transparency Control: Adjust background opacity (0-100%)
Individual Toggles: Turn sessions and EMA on/off independently
How to Use
For Session Trading:
Identify Active Sessions: Look for colored backgrounds indicating active trading sessions
Session Overlaps: London-New York overlap (18:30-20:30 IST) is typically high volatility
Session Transitions: Watch for session changes for potential breakout opportunities
For Trend Analysis:
EMA Trend: Golden EMA line shows overall market direction
Background Colors:
Green background = Bullish trend (price above EMA)
Red background = Bearish trend (price below EMA)
Trend Confirmation: Use EMA alignment with session timing for better entries
Trading Strategy:
Session + Trend Alignment: Best trades when session activity aligns with EMA trend
Session Transitions: Look for breakouts during session changes
High Volatility Periods: London-New York overlap often provides best opportunities
Settings
Session Settings:
Show Asia Session: Toggle Asia session background
Show London Session: Toggle London session background
Show New York Session: Toggle New York session background
Background Transparency: Adjust opacity (0-100%)
EMA Settings:
Show EMA: Toggle EMA line on/off
EMA Length: Adjust period (1-200, default: 50)
EMA Color: Customize line color
EMA Line Width: Adjust thickness (1-4)
Best Timeframes
Recommended: 15M, 1H, 4H, Daily
Best for: Forex pairs, Crypto, Major indices
Optimal Use: Combine with price action and support/resistance levels
Pro Tips
Session Awareness: Trade during active sessions for better liquidity
Trend Confirmation: Use EMA trend to confirm session-based setups
Risk Management: Avoid trading during low-activity periods
Multi-Timeframe: Use on higher timeframes for trend, lower for entries
Technical Details
Pine Script Version: v5
Overlay: True (displays on main chart)
Timezone: IST (Indian Standard Time)
Compatibility: All TradingView instruments
Perfect for traders who want to combine session timing with technical analysis for better trading decisions! 🚀