Nifty levels SHIVAJIonly for nifty levels and only for paper trade----
📊 NIFTY LEVELS – Intraday Trading Indicator
NIFTY LEVELS एक simple और powerful intraday indicator है जो NIFTY के लिए Daily Open आधारित महत्वपूर्ण support & resistance levels automatically plot करता है।
🔹 Indicator क्या दिखाता है
✅ Day Open Level
✅ Major Resistance & Support Levels
✅ Scalping Levels (Intraday Trading के लिए)
✅ Auto update हर नए trading day के साथ
🔹 किसके लिए उपयोगी है
✅ Intraday Traders
✅ Scalpers
✅ Bank Nifty / Nifty Option Traders
✅ Index based price action trading
🔹 कैसे इस्तेमाल करें
📌 Price Day Open के ऊपर हो → Buy bias
📌 Price Day Open के नीचे हो → Sell bias
📌 Big Levels पर reversal या breakout observe करें
📌 Scalping levels से quick entry & exit के लिए सहायता
🔹 Best Timeframe
1 min – 15 min (Intraday)
Index charts (NIFTY
รูปแบบชาร์ต
First FVG After 9:30 AM ET + Opening Range (1min) OK# FVG + Opening Range Breakout Indicator (1M)
## Overview
A professional trading indicator designed for 1-minute candlestick charts that identifies Fair Value Gaps (FVG) and Opening Range breakout patterns with precise entry signals for institutional trading strategies.
## Key Features
### 1. Fair Value Gap Detection (FVG)
- **Automatic Detection**: Identifies the first FVG after 9:30 AM ET
- **Support for Both Types**:
- **Bearish FVG**: Gap formed when candle 3 high is below candle 1 low (downward gap)
- **Bullish FVG**: Gap formed when candle 3 low is above candle 1 high (upward gap)
- **Visual Representation**: Blue box marking the exact gap zone
- **Active Period**: 9:30 AM - 2:00 PM ET only
### 2. FVG Entry Signals
- **SELL Signal (Bearish FVG)**: Generated when price enters and respects the gap
- Triggers when close stays within the FVG range
- Multiple signals allowed on retests
- Position label placed above bearish candles
- **BUY Signal (Bullish FVG)**: Generated when price breaks above FVG top
- Triggers when close breaks above fvgHigh
- Allows multiple signals on subsequent retests
- Position label placed below bullish candles
### 3. Opening Range (9:30 - 10:00 AM ET)
- **Three Key Levels**:
- **OR High** (Red Dashed Line): Highest point during opening 30 minutes
- **OR Low** (Green Dashed Line): Lowest point during opening 30 minutes
- **OR Mid** (Orange Dotted Line): Midpoint between High and Low
- **Lines Extend**: 100 bars into the session for reference
### 4. Opening Range Breakout Signals
Detects breakouts from the opening range with a refined entry strategy:
- **BUY Signal (OR High Breakout)**:
1. Price breaks ABOVE OR High (high1m > orHigh)
2. Waits minimum 5 candles
3. Price retests OR High level (close ≤ orHigh)
4. Price rebounds UPWARD (close > orHigh)
5. Signal generated with label "BUY"
- **SELL Signal (OR Low Breakout)**:
1. Price breaks BELOW OR Low (low1m < orLow)
2. Waits minimum 5 candles
3. Price retests OR Low level (close ≥ orLow)
4. Price rebounds DOWNWARD (close < orLow)
5. Signal generated with label "SELL"
### 5. Time Filters
- **Session Start**: 9:30 AM ET (Market Open)
- **Session End**: 2:00 PM ET (14:00)
- **All signals only generated within this window**
- **Daily Reset**: All data clears at market open each trading day
## Settings
| Parameter | Default | Description |
|-----------|---------|-------------|
| FVG Box Color | Blue (80% transparent) | Visual color of FVG zone |
| FVG Border Color | Blue | Border line color |
| Border Width | 1 | Thickness of FVG box border |
| Box Extension Right | 20 bars | How far right the box extends |
| Box Extension Left | 5 bars | How far left the box extends |
| Minimum FVG Size | 5.0 points | Minimum gap size to display |
| FVG Respect Tolerance | 2.0 points | Price tolerance for FVG respect |
| Show FVG Labels | True | Display "First FVG" label |
| Show Signals | True | Display SELL/BUY entry signals |
| Show Opening Range | True | Display OR High/Low/Mid lines |
| OR High Color | Red (80% transparent) | OR High line color |
| OR Low Color | Green (80% transparent) | OR Low line color |
| OR Mid Color | Orange (80% transparent) | OR Mid line color |
| OR Line Width | 2 | Thickness of OR lines |
| OR Line Length | 100 bars | Extension of OR lines |
| Timezone Offset | -5 (EST) | UTC offset (-4 for EDT) |
## Trading Strategy Integration
### Institutional Trading Approach
This indicator combines two professional trading methodologies:
1. **Fair Value Gap Trading**: Exploits market inefficiencies (gaps) that institutional traders fill during the day
2. **Opening Range Breakout**: Captures momentum moves that break out of the morning consolidation
### Optimal Use Cases
- **Asian Session into London Open**: Monitor FVG formation
- **Pre-Market Gap Analysis**: Plan breakout trades
- **Early Morning Momentum**: Catch OR breakouts with precision entries
- **Intraday Scalping**: Use signals for quick risk/reward entries
### Risk Management
- Entry signals clearly marked with labels
- Trailing stops can be set at OR levels
- Multiple timeframe confirmation recommended
- Always use stop losses below/above key levels
## Signal Interpretation
| Signal | Type | Action | Location |
|--------|------|--------|----------|
| SELL | FVG Bearish | Short Entry | Above bearish candle |
| BUY | FVG Bullish | Long Entry | Below bullish candle |
| BUY | OR High Breakout | Long Entry | Above OR High |
| SELL | OR Low Breakout | Short Entry | Below OR Low |
## Color Scheme
- **Red**: Bearish direction (SELL signals, OR High)
- **Green**: Bullish direction (BUY signals, OR Low)
- **Orange**: Neutral reference (OR Mid point)
- **Blue**: FVG zones (gaps)
- **Yellow**: Background during FVG search phase
## Notes
- Indicator works exclusively on 1-minute charts
- Requires market open data (9:30 AM ET)
- All times referenced to Eastern Time (ET)
- Historical data should include full trading day for accuracy
- Use with volume and momentum indicators for confirmation
---
**Designed for professional traders using institutional-grade trading methodologies**
GHOST Premium IndicatorGHOST Premium Indicator – Session ORB + True Day Open Levels
GHOST Premium is a full session-mapping tool built for futures traders who live off levels, not guesses. It automatically plots:
15-Minute ORB Zones for
Asia (19:00 NY)
London (03:00 NY)
New York (09:30 NY)
Each ORB is drawn as a dynamic box that tracks the high/low during the window, then locks in and projects high, low, and midline rays forward into the session so you can trade clean reaction levels.
Asia Session High/Low (19:00–00:00 NY)
Choose between Rays, Boxes, or Both.
Session high/low rays extend right across the chart.
Optional “extreme candle” boxes from a user-selected timeframe (1–15m) give you a visual anchor for key impulsive moves.
Labels for Asia High/Low stay pinned to the right edge of the chart using a configurable offset.
London Session High/Low (03:00–08:00 NY)
Same logic as Asia: live-updating session high/low, projected as rays or boxes.
Session objects persist until 16:50 NY, then auto-clean so your chart never gets cluttered.
Labels for London High/Low and their boxes also slide with price to the right side of the chart.
True Day Open (TDO)
Calculates calendar day open at 00:00 ET, even though the futures session starts at 18:00.
Draws a horizontal ray from TDO across the entire day.
Drops a “TDO” label on the level and keeps it pinned to the right edge with its own adjustable offset.
Fully customizable ray color, label color, and line width.
All key visuals are user-configurable: session toggles, colors, transparency, line widths, midline style, label offsets, and extreme-candle timeframes.
Use GHOST Premium to instantly see where Asia, London, NY, and the True Day Open are controlling order flow – so you can build your bias and executions around the same levels smart money respects.
VWolf – Slope GuardOVERVIEW
Slope Guard combines a momentum core (WaveTrend + RSI/MFI + QQE family) with a directional bias (EMA/DEMA and a DEMA-slope filter). Trade direction can be constrained by the Supertrend regime (Normal or Pivot). Risk is managed with ATR-based stops and targets, optional Supertrend-anchored dynamic levels, and a two-stage take-profit that can shift the stop to break-even after the first partial. The strategy supports explicit Backtest and Forward-test windows and adapts certain thresholds by market type (Forex vs. Stocks).
RECOMMENDED USE
Markets: Forex and equities; use Market Type to properly scale the DEMA-slope gate.
Timeframes: M15–H4 for intraday-swing and H1–D1 for slower swing; avoid ultra-low TFs without tightening ADX/QQE.
Assets: Instruments with persistent trends and orderly pullbacks; avoid flat ranges without sufficient ADX.
Strengths
Multi-layer confluence: trend bias + momentum + regime + strength.
Flexible risk engine: ATR vs. Supertrend anchoring, staged exits, and automatic break-even.
Clean research workflow: separated Backtest and Forward-test windows.
Precautions
Structural latency: Pivot-based constructs confirm with delay; validate with Forward-test.
Filter interaction: QQE Strict + ADX + WT zero-line can become overly selective; calibrate by asset/TF.
Overfitting risk: Prefer simple, portable parameter sets and validate across symbols/TFs.
CONCLUSION
Slope Guard is a “trend + momentum” framework with risk control at its core. By enforcing a baseline bias, validating momentum with the Vuman composite, and offering ATR or Supertrend-anchored exits—plus staged profits and break-even shifts—it seeks to capture the core of directional swings while compressing drawdowns. Keep testing windows isolated, start with moderate filters (QQE Normal, ADX ~20–25), and only add stricter gates (WT zero-line, DEMA slope) once they demonstrably improve stability without starving signals.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Shadow PulseOVERVIEW
The Trend Momentum Breakout Strategy is a rule-based trading system designed to identify high-probability entries in trending markets using a combination of trend confirmation, momentum filtering, and precise trigger conditions. The strategy is suitable for intermediate to advanced traders who prefer mechanical systems with clear entry/exit logic and configurable risk management options.
At its core, this strategy seeks to enter pullbacks within strong trends, capitalizing on momentum continuation after brief pauses in price movement. By integrating multiple moving averages (MAs) for trend validation, ADX (Average Directional Index) as a strength filter, and Stochastic RSI as an entry trigger, the strategy filters out weak trends and avoids overextended market conditions. Exit logic is based on a customizable fixed stop-loss (SL) and take-profit (TP) framework, with optional dynamic risk-reduction mechanisms powered by the Supertrend indicator.
This strategy is designed to perform best in clearly trending markets and is especially effective in avoiding false breakouts or choppy sideways action thanks to its ADX-based filtering. It can be deployed across a variety of asset classes, including forex, stocks, cryptocurrencies, and indices, and is optimized for intra-day to swing trading timeframes.
RECOMMENDED USE
This strategy is designed to be flexible across multiple markets, but it performs best under certain conditions:
Best Suited For:
Trending markets with clear directional momentum.
High-volume instruments that avoid erratic price action.
Assets with intraday volatility and swing patterns.
Recommended Asset Classes:
Forex pairs (e.g., EUR/USD, GBP/JPY)
Cryptocurrencies (e.g., BTC/USD, ETH/USDT)
Major indices (e.g., S&P 500, NASDAQ, DAX)
Large-cap stocks (especially those with consistent liquidity)
Suggested Timeframes:
15-minute to 1-hour charts for intraday setups.
4-hour and daily charts for swing trading.
Lower timeframes (1–5 min) may generate too much noise unless fine-tuned.
Market Conditions to Avoid:
Ranging or sideways markets with low ADX values.
Assets with irregular price structures or low liquidity.
News-heavy periods with unpredictable price spikes.
CONCLUSION
This strategy stands out for its robust and modular approach to trend-following trading, offering a high level of customization while maintaining clear logic and structural discipline in entries and exits. By combining three distinct layers of confirmation—trend identification (via configurable moving averages), trend strength validation (via the DMI filter), and timing (via the Stochastic RSI trigger)—it aims to reduce noise and increase the probability of entering trades with directional bias and momentum on its side.
Its flexibility is one of its strongest points: users can tailor the strategy to fit various trading styles and market conditions. Whether the trader prefers conservative setups using only the slowest moving average, or more aggressive entries requiring full alignment of fast, medium, and slow MAs, the system adjusts accordingly. Likewise, exit management offers both static and dynamic methods—such as ATR-based stop losses, Supertrend-based adaptive exits, and partial profit-taking mechanisms—allowing risk to be managed with precision.
This makes the strategy particularly suitable for trend-driven markets, such as major currency pairs, indices, or volatile stocks that demonstrate clear directional moves. It is not ideal for sideways or choppy markets, where multiple filters may reduce the number of trades or result in whipsaws.
From a practical standpoint, the strategy also incorporates real-world trading mechanics, like time-based filters and account risk control, which elevate it from a purely theoretical model to a more execution-ready system.
In summary, this is a well-structured, modular trend strategy ideal for intermediate to advanced traders who want to maintain control over their system parameters while still benefiting from layered signal confirmation. With proper calibration, it has the potential to become a reliable tool in any trader’s arsenal—particularly in markets where trends emerge clearly and sustainably.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Raptor ClawOVERVIEW
The 'VWolf - Raptor Claw' is a straightforward scalping strategy designed for high-frequency trades based on the Stochastic RSI indicator. It focuses exclusively on identifying potential trend reversals through stochastic cross signals in extreme zones, without the need for additional confirmations. This makes it highly responsive to market movements, capturing rapid price shifts while maintaining simplicity.
This strategy is best suited for highly liquid and volatile markets like forex, indices, and major cryptocurrencies, where quick momentum shifts are common. It is ideal for experienced scalpers who prioritize fast entries and exits, but it can also be adapted for swing trading in lower timeframes.
Entry Conditions:
Long Entry:Stochastic RSI crosses above the oversold threshold (typically 20), indicating a potential bullish reversal.
Short Entry:Stochastic RSI crosses below the overbought threshold (typically 80), indicating a potential bearish reversal.
Exit Conditions:
Stop Loss: Set at the minimum (for longs) or maximum (for shorts) within a configurable lookback window to reduce risk.
Take Profit: Defined by a risk-reward ratio (RRR) input to optimize potential gains relative to risk.
CONCLUSION
The 'VWolf - Raptor Claw' strategy is perfect for traders seeking a simple yet aggressive approach to the markets. It capitalizes on sharp momentum shifts in extreme zones, relying on precise stop loss and take profit settings to capture rapid profits while minimizing risk. This approach is highly effective in high-volatility environments where quick decision-making is essential.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Quantum DriftOVERVIEW
The Quantum Drift strategy is a sophisticated, highly customizable trading approach designed to identify market entries and exits by leveraging multiple technical indicators. The strategy uniquely combines the Dynamic Exponential Moving Average (DEMA), QQE indicators, Volume Oscillator, and Hull Moving Average (HULL), enabling precise detection of trend direction, momentum shifts, and volatility adjustments. It stands out due to its adaptability across different market conditions by allowing significant user customization through various input parameters.
RECOMMENDED USE
Markets: Ideal for Forex and Stocks due to the strategy's volatility-sensitive and trend-following nature.
Timeframes: Best suited for medium to higher timeframes (15m, 1H, 4H), where clearer trend signals and less noise occur, enhancing strategy reliability.
CONCLUSION
The Quantum Drift strategy is tailored for intermediate to advanced traders seeking a versatile and adaptive system. Its strength lies in combining momentum, volatility, and trend-following components, providing robust entry and exit signals. However, its effectiveness relies significantly on accurate parameter tuning by traders familiar with the underlying indicators and market behavior.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf – Pivot VumanSkewOVERVIEW
This strategy blends a lightweight trend scaffold (EMA/DEMA) with a skew-of-volatility filter and VuManchu/WaveTrend momentum signals. It’s designed to participate only when trending structure, momentum alignment, and volatility asymmetry converge, while delegating execution management to either a standard SuperTrend or a Pivot-based SuperTrend. Position sizing is risk‑based, with optional two‑step profit taking and automatic stop movement once price confirms in favor.
RECOMMENDED USE
Markets: Designed for Forex and equities, and readily adaptable to indices or liquid futures.
Timeframes: Performs best from 15m to 4h where momentum and trend layers both matter; daily can be used for confirmation/context.
Conditions: Trending or range‑expansion phases with clear volatility asymmetry. Avoid extremely compressed sessions unless thresholds are relaxed.
Strengths
Multi‑layer confluence (trend + skew + momentum) reduces random signals.
Dual SuperTrend modes provide flexible trailing and regime control.
Built‑in hygiene (ADX/DMI, lockout after loss, ATR gap) curbs over‑trading.
Risk‑% sizing and two‑step exits support consistent, plan‑driven execution.
Precautions
Over‑tight thresholds can lead to missed opportunities; start from defaults and tune gradually.
High sensitivity in momentum settings may overfit to a single instrument/timeframe.
In very low volatility, ATR‑gap or skew filters may block entries—consider adaptive thresholds.
CONCLUSION
VWolf – Pivot VumanSkew is a disciplined trend‑participation strategy that waits for directional structure, volatility asymmetry, and synchronized momentum before acting. Its execution layer—selectable between Normal and Pivot SuperTrend—keeps management pragmatic: scale out early when appropriate, trail intelligently, and defend capital with volatility‑aware stops. For users building a diversified playbook, Pivot VumanSkew serves as a trend‑continuation workhorse that can be tightened for precision or relaxed for higher participation depending on the market’s rhythm.
MC² Pullback Screener v1.01//@version=5
indicator("MC² Pullback Screener v1.01", overlay=false)
//----------------------------------------------------
// 🔹 PARAMETERS
//----------------------------------------------------
lenTrend = input.int(20, "SMA Trend Length")
relVolLookback = input.int(10, "Relative Volume Lookback")
minRelVol = input.float(0.7, "Min Relative Volume on Pullback")
maxSpikeVol = input.float(3.5, "Max Spike Vol (Reject News Bars)")
pullbackBars = input.int(3, "Pullback Lookback Bars")
//----------------------------------------------------
// 🔹 DATA
//----------------------------------------------------
// Moving averages for trend direction
sma20 = ta.sma(close, lenTrend)
sma50 = ta.sma(close, 50)
// Relative Volume
volAvg = ta.sma(volume, relVolLookback)
relVol = volume / volAvg
// Trend condition
uptrend = close > sma20 and sma20 > sma50
//----------------------------------------------------
// 🔹 BREAKOUT + PULLBACK LOGIC
//----------------------------------------------------
// Recent breakout reference
recentHigh = ta.highest(close, 10)
isBreakout = close > recentHigh
// Pullback logic
nearSupport = close > recentHigh * 0.98 and close < recentHigh * 1.02
lowVolPullback = relVol < minRelVol
// Reject single-bar news spike
rejectSpike = relVol > maxSpikeVol
//----------------------------------------------------
// 🔹 ENTRY SIGNAL
//----------------------------------------------------
pullbackSignal = uptrend and lowVolPullback and nearSupport and not rejectSpike
//----------------------------------------------------
// 🔹 SCREENER OUTPUT
//----------------------------------------------------
// Pine Screener expects a plot output
plot(pullbackSignal ? 1 : 0, title="MC² Pullback Signal", style=plot.style_columns, color=pullbackSignal ? color.green : color.black)
VWolf – Momentum TwinOVERVIEW
VWolf – Momentum Twin is designed to identify high-probability momentum reversals emerging from overbought or oversold market conditions. It employs a double confirmation from the Stochastic RSI oscillator, optionally filtered by trend and directional movement conditions, before executing trades.
The strategy emphasizes consistent risk management by scaling stop-loss and take-profit targets according to market volatility (ATR), and it provides advanced position management features such as partial profit-taking and automated stop-loss adjustments.
RECOMMENDED USE
Markets: Major FX pairs, index futures, large-cap stocks, and top-volume cryptocurrencies.
Timeframes: Best suited for M15–H4; adaptable for swing trading on daily charts.
Trader Profile: Traders who value structured, volatility-adjusted momentum reversal setups.
Strengths:
Double confirmation filters out many false signals.
Multiple filter options allow strategic flexibility.
ATR scaling maintains consistent risk across assets.
Trade management tools improve adaptability in dynamic markets.
Precautions:
May produce fewer trades in strong one-direction trends.
Over-filtering can reduce trade frequency.
Requires validation across instruments and timeframes before deployment.
CONCLUSION
The VWolf – Momentum Twin offers a disciplined framework for capturing momentum reversals while preserving flexibility through its customizable filters and risk controls. Its double confirmation logic filters out a significant portion of false reversals, while ATR-based scaling ensures consistency across varying market conditions. The optional trade management features, including partial profit-taking and automatic stop adjustments, allow the strategy to adapt to both trending and ranging environments. This makes it a versatile tool for traders who value structured entries, robust risk control, and adaptable management in a variety of markets and timeframes.
VWolf – Hull VectorOVERVIEW
VWolf – Hull Vector is a momentum-driven trend strategy centered on the Hull Moving Average (HMA) angle. It layers optional confirmations from EMA/DEMA alignment, DMI/ADX strength, and Supertrend triggers to filter lower-quality entries and improve trade quality.
Risk is controlled through capital-based position sizing, ATR-anchored stops and targets, and dynamic trade management (partial exits and stop movement). The strategy supports Backtest and Forwardtest modes with configurable date ranges, and a market profile toggle (Forex vs. Stocks) to adjust internal scaling for price behavior.
RECOMMENDED USE
Markets: Major Forex pairs, index CFDs/futures, and liquid stocks with clean trend legs.
Styles: Intraday and swing applications where momentum continuation is common.
Volatility Regimes: Performs best in trending or expanding-volatility environments; consider tightening thresholds in choppy phases.
Workflow Tips:Start with HMA angle + ST trigger only; then layer DEMA and DMI/ADX if you need more selectivity.
Use Forwardtest dates to simulate out-of-sample performance after tuning Backtest parameters.
Re-evaluate angle thresholds when switching between Forex and Stocks modes.
Strengths
Clear momentum core (HMA angle) with optional, orthogonal filters (trend alignment, strength, trigger).
Robust risk tooling: ATR/ST stops, two-step profits, and capital-based sizing.
Testing discipline: Native Backtest/Forwardtest scoping supports walk-forward validation.
Broad portability: Works across instruments thanks to market-aware scaling.
Precautions
Over-filtering risk: Enabling all gates simultaneously may under-trade; calibrate selectivity to your timeframe.
Sideways markets: Expect more whipsaws when slope hovers near zero; raise angle threshold or rely more on ADX gating.
Overfitting hazard: Tune on one regime, then verify with Forwardtest windows and alternative markets/timeframes.
VWolf – Hulk StrikeOVERVIEW
VWolf – Hullk Strike is a dynamic trend-following strategy designed to capture pullbacks within established moves. It combines a configurable Moving Average (HULL, EMA, SMA, or DEMA) trend filter with DMI/ADX confirmation and a Stochastic RSI timing trigger. Risk is managed through ATR- or Supertrend-based stops, optional partial profit-taking, and automatic stop adjustments. The strategy aims to rejoin momentum after controlled retracements while maintaining consistent, quantified risk
RECOMMENDED USE
Markets: Liquid indices, major FX pairs, large-cap equities, high-liquidity crypto pairs.
Timeframes: M15 to D1 (stricter filters for lower timeframes, looser for higher).
Profiles: Traders seeking structured trend participation with systematic timing.
Strengths
Highly flexible trend engine adaptable to multiple markets.
Dual confirmation reduces false signals during pullbacks.
Risk-first design with multiple stop models and partial exits.
Precautions
Over-filtering may reduce trade frequency and miss fast continuations.
Under-filtering may increase whipsaw risk in choppy markets.
Backtest vs forward-test differences if date/session filters are inconsistent.
CONCLUSION
VWolf – Hullk Strike is designed to capture the “second leg” of a trend after a controlled retracement. With configurable MA strictness, DMI/ADX strength filters, and precise Stoch RSI timing, it enhances selectivity while keeping responsiveness. Its stop/target framework—anchored stops, proportional targets, partial exits, and dynamic stop moves—offers disciplined risk control and upside preservation.
FOR MORE INFORMATION VISIT vwolftrading.com
VWolf - Basic EdgeOVERVIEW
VWolf - Basic Edge is a clean and accessible crossover strategy built on the core principle of moving average convergence. Designed for simplicity and ease of use, it allows traders to select from multiple types of moving averages—including EMA, SMA, HULL, and DEMA—and defines entry points strictly based on the crossover of two user-defined MAs.
This strategy is ideal for traders seeking a minimal, no-frills trend-following system with flexible exit conditions. Upon crossover in the selected direction (e.g., fast MA crossing above slow MA for a long entry), the strategy opens a trade and then manages the exit based on the user’s chosen method:
Signal-Based Exit:Trades are closed on the opposite crossover signal (e.g., long is exited when the fast MA crosses below the slow MA).
Fixed SL/TP Exit:The trade is closed based on fixed Stop Loss and Take Profit levels.Both SL and TP values are customizable via the strategy’s input settings.Once either the TP or SL is reached, the position is exited.
Additional filters such as date ranges and session times are available for backtesting control, but no extra indicators are used—staying true to the “basic edge” philosophy. This strategy works well as a starting framework for beginners or as a reliable, lightweight system for experienced traders wanting clean, rule-based entries and exits.
RECOMMENDED FOR
- Beginner to intermediate traders who want a transparent and easy-to-follow system.
- Traders looking to understand or build upon classic moving average crossover logic.
- Users who want a customizable but uncluttered strategy framework.
🌍 Markets & Instruments:
Well-suited for liquid and trending markets, including:Major forex pairs
Stock indices
Commodities (e.g., gold, oil)
Cryptocurrencies with stable trends (e.g., BTC, ETH)
⏱ Recommended Timeframes:
Performs best on higher intraday or swing trading timeframes, such as:15m, 1h, 4h, and 1D
Avoid low-timeframe noise (e.g., 1m, 3m) unless paired with strict filters or volatility controls.
FOR MORE INFORMATION VISIT vwolftrading.com
Displacement + FVG + Structure Break (ICT-style)Identifies the displacement candle. Can be used in conjunction with 1 min chart to identify true displacement
Cold Brew Ranges🧭 Core Logic and Calculation
The fundamental logic for each range (OR and CR) is identical:
Time Definition: Each range is defined by a specific Start Time and a fixed 30-second duration. The timestamp function, using the "America/New_York" time zone, is used to calculate the exact start time in Unix milliseconds for the current day.
Example: t0200 = timestamp(TZ, yC, mC, dC, 2, 0, 0) sets the start time for the 02:00 OR to 2:00:00 AM NY time.
Range Data Collection: The indicator uses the request.security_lower_tf() function to collect the High (hArr) and Low (lArr) prices of all bars that fall within the defined 30-second window, using a user-specified, sub-chart-timeframe (openrangetime, defaulted to "1" second, "30S", or "5" minutes). This ensures high precision in capturing the exact high and low during the 30-second window.
High/Low Determination: It iteratively finds the absolute highest price (OR_high) and the absolute lowest price (OR_low) recorded by the bars during that 30-second window.
Range Locking: Once the current chart bar's time (lastTs) passes the 30-second End Time (tEnd), the High and Low are locked (OR_locked = true), meaning the range calculation is complete for the day.
Drawing: Upon locking, the range is drawn on the chart using line.new for the High, Low, and Equilibrium, and box.new for the shaded fill. The lines are extended to a subsequent time anchor point (e.g., the 02:00 OR is extended to 08:20, the 09:30 OR is extended to 16:00).
Equilibrium (EQ): This is calculated as the simple average (midpoint) of the High and Low of the range.
EQ=
2
OR_High+OR_Low
⏰ Defined Trading Ranges
The indicator defines and tracks the following specific 30-second ranges:
Range Name Type Start Time (NY) Line Extension End Time (NY) Common Market Context
02:00 OR Opening 02:00:00 08:20:00 Asian/European Market Overlap
08:20 OR Opening 08:20:00 16:00:00 Pre-New York Open
09:30 OR Opening 09:30:00 16:00:00 New York Stock Exchange Open (Most significant OR)
18:00 OR Opening 18:00:00 20:00:00 Futures Market Open (Sunday/Monday)
20:00 OR Opening 20:00:00 Next Day's session start Asian Session Start
15:50 CR Closing 15:50:00 20:00:00 New York Close Range
⚙️ Key User Inputs and Customization
The script offers extensive control over which ranges are displayed and how they are visualized:
Range Time & History
openrangetime: Sets the sub-timeframe (e.g., "1" for 1 second) used to calculate the precise High/Low of the 30-second range. Crucial for accuracy.
showHistory: A toggle to show the ranges from previous days (up to a histCap of 50 days).
Range Toggles and Styling
On/Off Toggles: Independent input.bool (e.g., OR_0200_on) to enable or disable the display of each individual range.
Colors & Width: Separate color and width inputs for the High/Low lines (hlC), the Equilibrium line (eqC), and the background fill (fillC) for each range.
Line Styles: Global inputs for the line styles of High/Low (lineStyleInput) and Equilibrium (eqLineStyleInput) lines (Solid, Dotted, or Dashed).
showFill: Global toggle to enable the shaded background box that highlights the area between the High and Low.
Extensions
The script calculates and plots extensions (multiples of the initial range) above the High and below the Low.
showExt: Toggles the visibility of the extension lines.
useRangeMultiples: If true, the step size for each extension level is equal to the initial range size:
Step=Range=OR_High−OR_Low
If false, the step size is a fixed value defined by stepPts (e.g., 60.0 points, which is a common value for NQ futures).
stepCnt: Determines how many extension levels (multiples) are drawn above and below the range (default is 10).
📈 Trading Strategy Implications
The Cold Brew Ranges indicator is a tool for session-based support and resistance and range breakout/reversal strategies.
Key Support/Resistance: The High and Low of these defined opening ranges often act as strong, predefined price levels. Traders look for price rejection off these boundaries or a breakout with conviction.
Equilibrium (Midpoint): The EQ often represents a fair value for that specific session's opening. Movements away from it are seen as opportunities, and a return to it is common.
Extensions: The range extensions serve as potential profit targets or stronger, layered support/resistance levels if the market trends aggressively after the opening range is set.
The core idea is that the activity in the first 30 seconds of a significant trading session (like the NYSE or a market session open) sets a bias and initial boundary for the trading period that follows.
CK FVGThis indicator automatically finds bullish and bearish Fair Value Gaps and shows you which ones still matter — without you drawing anything.
What it does:
Marks every new FVG on the chart
Shows bullish (green) and bearish (red) gaps
Removes gaps once they’re mitigated (filled)
Highlights rejections when price taps the FVG and shoots away
Option to only show the last few unmitigated FVGs
Works on any timeframe
Extra features:
Dashboard showing total FVGs + mitigation %
Alert system for new FVGs and mitigations
Static or dynamic gap mode depending on your preference
Why traders like it:
No more drawing FVG boxes manually
Helps spot clean reaction zones
Perfect for ICT-style setups, liquidity plays, and reversals
Simple, clean, and does all the FVG work for you.
Green to Red Money RailsWhat this indicator does
Green to Red Money Rails (G2R Rails) is a price-action tool that draws dynamic “rails” from recent swing lows and highs. It tracks how support and resistance are shifting so you can see where trend pressure is building or weakening.
Core logic (high level)
Detects pivot lows and stores the last three (L1, L2, L3).
Builds green support “fans”: inner dotted rails L1→L2 and L2→L3, plus a main solid base rail L1→L3.
Detects pivot highs and, when the last high is lower than the previous one, draws a red resistance rail from H2→H3.
Optional labels mark the most recent swing low (“L”) and swing high (“H”).
How to use it
Use the green rails as dynamic support zones for trend-following, pullback entries, or stop placement.
Use the red rail as a visual ceiling in downtrends: breaks above it can signal the end of a sell-off; rejections at it confirm sellers still in control.
Works best on liquid markets and swing-trading timeframes (for example, 1h–1D). Always combine with your own risk management and higher-timeframe context.
This script does not auto-generate signals or manage risk for you; it is a visual framework for reading structure and building your own trading plans.
ATR ZigZag - Volatility-Filtered Market StructureDescription
This indicator draws ZigZags using an ATR based threshold for direction switching to identify major swing highs and lows. Instead of relying on fractals or fixed bar-count swings, pivots are confirmed only when price moves beyond the prior extreme by:
threshold = ATR(length) × ATR_mult
This filters noise, enforces valid swing structure (high → low → high), and adapts automatically to volatility. The ATR ZigZag is ideal for traders who want a clean, objective view of swing structure without noise. This has many uses, including mapping swing structure, drawing chart patterns, and trading around extremes.
Lag and Repainting
Pivots are confirmed only after price moves sufficiently in the opposite direction. This creates necessary lag. The ZigZag is drawn when this occurs, and will anchor to the high/low in the past. Optional detection dot plots show exactly when confirmation occurred.
What You See
ZigZag: dashed gray line, repainted to anchor at the confirmed highs and lows
Latest Pivot Levels: Dashed horizontal lines at the most recent confirmed high/low.
Optional Live Swing Leg: A real-time line from the last confirmed pivot to the current swing extreme, updating until a new pivot forms.
Optional ATR Boxes: 1×ATR shaded zones around the latest pivot for structural context.
Optional Pivot Confirmation Dots: Markers show the bar where the threshold is crossed and a swing is officially confirmed. This is to understand the lag and see when the ZigZag repainted.
The Composite Predictive Index-(CPI-IG v5)**The Composite Predictive Index (CPI-IG v5) is a comprehensive Market Institutional Indicator created by Alcides Davila and is an overlay indicator designed for institutional-grade market analysis and trading signals. Nevertheless, Daily-Short-Term Traders may also take advantage of this robust and efficient indicator. Still, they must make the necessary adjustments for scalping and for short-, medium-, and long-term trading. It synthesizes multiple technical factors (e.g., RSI, MACD, Bollinger Bands, VWAP, EMAs/SMAs, volume pressure, delta volume, manual sentiment/news inputs) into a weighted Z-score-based probability model (probUp) for forecasting price direction—generating buy/sell gates, strong/ultra signals, and short-term projections. It supports multi-timeframe alignment (HTF/LTF), breakout/breakdown detection with retests, internal backtesting, and alerts, while displaying dashboards for probabilities, stats, oscillators (bull/bear/neutral), major indexes (S&P, DJIA, Nasdaq), and ETFs (SPY, QQQ, etc.).
In terms of structure, it's highly reliable and productive: modular code with error-handling (safe divisions, approximations for tanh/erf), customizable modes (scalp to long-term), efficient resource use (max_bars_back=500), and cooldowns to prevent alert spam. Quality is strong, with transparent math, visual flexibility, and no apparent logic bugs—though real-world performance depends on market conditions and user tuning.
Investors can benefit significantly by using it for data-driven decisions, reducing bias through probability scores (e.g., >68% for buys), timing entries/exits with cross-confirmations, and monitoring broader market context via indexes/ETFs. It's especially useful for trend-following or reversal strategies, potentially improving win rates in volatile markets, but, like all indicators, it's not foolproof—use it in combination with risk management.
Strongest feature: The probability engine, which normalizes diverse signals into a robust, Z-scaled probUp metric (via the normal CDF or a logistic), enabling a quantifiable edge over traditional oscillators. Cheers...!!!
Green Day or Red Day?What it is:
This simple indicator provides immediate visual context by tinting the background of your chart Green or Red based on the asset's daily performance.
Who's it for?
It is designed for day traders and scalpers who operate on lower timeframes (1m, 5m, 15m) but need to remain aware of the overall daily direction without switching charts. It can be used in combination with the ORB strategy as a helpful tool to "feel" the trend when you're way out of the ORB range. But this indicator can be used by anyone regardless of trading style.
How it works:
This script pulls data from the daily timeframe regardless of the chart interval you are currently viewing. It compares the current price to a user-selectable reference point (either Yesterday's Close or Today's Open) to determine the background color.
Good Luck. May you make good trades!
CRT Inside Hunter + FVG (Final Fusion)CRT Inside Hunter + FVG (Final Fusion)
This indicator automatically detects Inside Bar → CRT (Consolidation – Range – Trap) structures and generates LONG / SHORT BAM breakout signals whenever the mother bar is violated.
It also includes optional Fair Value Gap (FVG) confirmation.
🔍 1. Inside Bar → Mother Bar Detection
Automatically identifies inside bar sequences.
Creates the Mother Bar with High / Low boundaries.
Draws Q1 – Mid – Q3 levels as visual guidance.
Auto-removes CRT structure after a user-defined number of bars.
🚨 2. BAM Breakout Signals
Breakout events trigger automatic trade signals:
Upper violation → SHORT signal
Lower violation → LONG signal
Signals are displayed as labels and fully support alerts.
🟦 3. FVG (Fair Value Gap) Confirmation
Optional FVG detection mode:
Automatically marks Demand and Supply FVG zones.
If the price touches an FVG at the breakout moment, the signal becomes FVG-Confirmed.
🎨 4. Additional Features
Inside bars highlighted for clarity.
Clean, minimal drawing system.
All drawings reset daily for maximum chart hygiene.
This tool combines liquidity, imbalance, breakout logic and provides a powerful structure for scalping and intraday trading.
FOR CRT SMT – 4 CANDLEFOR CRT SMT – 4 CANDLE Indicator
This indicator detects SMT (Smart Money Technique) divergence by comparing the last 4 candle highs and lows of two different assets.
Originally designed for BTC–ETH comparison, but it works on any market, including Forex pairs.
You can open EURUSD on the chart and select GBPUSD from the settings, and the indicator will detect SMT divergence between EUR and GBP the same way it does between BTC and ETH. This makes it useful for analyzing correlated markets across crypto, forex, and more.
🔴 Upper SMT (Bearish Divergence – Red)
Occurs when:
The main chart asset makes a higher high,
The comparison asset makes a lower high.
This may signal a liquidity grab and potential reversal.
🟢 Lower SMT (Bullish Divergence – Green)
Occurs when:
The main chart asset makes a lower low,
The comparison asset makes a higher low.
This may indicate the market is sweeping liquidity before reversing upward.
📌 Features
Uses the last 4 candles of both assets.
Automatically draws divergence lines.
Shows clear “SMT ↑” or “SMT ↓” labels.
Works on Crypto, Forex, and all correlated assets.
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index.
Recommended Markets
SPX (Weekly, Monthly)
SPY (Monthly)
Tesla (Weekly)
XAUUSD (Weekly, Monthly)
NVDA (Weekly, Monthly)
Meta (Weekly, Monthly)
GOOG (Weekly, Monthly)
MSFT (Weekly, Monthly)
AAPL (Weekly, Monthly)
System Rules and Parameters
Total capital: $10,000
We will use 10% of the total capital per trade
Commissions will be 0.1% per trade
Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price).
Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle.
• Formula: (Previous Open + Previous Close) / 2.
Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step.
Once these parameters are met, the system executes a long entry and calculates the exit parameters:
Stop Loss (SL): Placed at the low of the candle that generated the entry signal.
Take Profit (TP): Calculated by projecting the risk distance upward.
• Calculation: Entry Price + (Risk * 1).
Risk:Reward Ratio of 1:1.
About the Profit Factor
In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance.
For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades.
My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage.
Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high).
Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings.
For example, we can maintain a fixed loss percentage when volatility is low by using the following formula:
Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL
And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size.
For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size.
23.57% - 15% = 8.57%
Suppose I use $200 per trade.
To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200:
$200 - $17.14 = $182.86
In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management.
Final Notes
The code is extremely simple, and every step of its development is detailed within it.
If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
