Candle Time Remaining -oxelongcandle timer visible above current candle changes color as it counts down
Análisis de tendencia
EMAs + Golden/Death Cross con Flechas
Emas crossing. Death Cross and Golden Cross. Emas of 50, 100, and 200. Editable. Recommended time frame: 30 minutes.
Range Grid From Two LevelsRange Grid From Two Levels of Initial Balance (works great with next day levels)
Algorithmic Kalman Filter [CRYPTIK1]Price action is chaos. Markets are driven by high-frequency algorithms, emotional reactions, and raw speculation, creating a constant stream of noise that obscures the true underlying trend. A simple moving average is too slow, too primitive to navigate this environment effectively. It lags, it gets chopped up, and it fails when you need it most.
This script implements an Algorithmic Kalman Filter (AKF), a sophisticated signal processing algorithm adapted from aerospace and robotic guidance systems. Its purpose is singular: to strip away market noise and provide a hyper-adaptive, self-correcting estimate of an asset's true trajectory.
The Concept: An Adaptive Intelligence
Unlike a moving average that mindlessly averages past data, the Kalman Filter operates on a two-step principle: Predict and Update.
Predict: On each new bar, the filter makes a prediction of the true price based on its previous state.
Update: It then measures the error between its prediction and the actual closing price. It uses this error to intelligently correct its estimate, learning from its mistakes in real-time.
The result is a flawlessly smooth line that adapts to volatility. It remains stable during chop and reacts swiftly to new trends, giving you a crystal-clear view of the market's real intention.
How to Wield the Filter: The Core Settings
The power of the AKF lies in its two tuning parameters, which allow you to calibrate the filter's "brain" to any asset or timeframe.
Process Noise (Q) - Responsiveness: This controls how much you expect the true trend to change.
A higher Q value makes the filter more sensitive and responsive to recent price action. Use this for highly volatile assets or lower timeframes.
A lower Q value makes the filter smoother and more stable, trusting that the underlying trend is slow-moving. Use this for higher timeframes or ranging markets.
Measurement Noise (R) - Smoothness: This controls how much you trust the incoming price data.
A higher R value tells the filter that the price is extremely noisy and to be more skeptical. This results in a much smoother, slower-moving line.
A lower R value tells the filter to trust the price data more, resulting in a line that tracks price more closely.
The interaction between Q and R is what gives the filter its power. The default settings provide a solid baseline, but a true operator will fine-tune these to perfectly match the rhythm of their chosen market.
Tactical Application
The AKF is not just a line; it's a complete framework for viewing the market.
Trend Identification: The primary signal. The filter's color code provides an unambiguous definition of the trend. Teal for an uptrend, Pink for a downtrend. No more guesswork.
Dynamic Support & Resistance: The filter itself acts as a dynamic level. Watch for price to pull back and find support on a rising (Teal) filter in an uptrend, or to be rejected by a falling (Pink) filter in a downtrend.
A Higher-Order Filter: Use the AKF's trend state to filter signals from your primary strategy. For example, only take long signals when the AKF is Teal. This single rule can dramatically reduce noise and eliminate low-probability trades.
This is a professional-grade tool for traders who are serious about gaining a statistical edge. Ditch the lagging averages. Extract the signal from the noise.
PAZ+EMA+Momentum+RSI — Karar Paneli (AL/SAT/BEKLE)This Pine Script indicator combines price action (BoS/CHoCH proxy), EMA trend filtering (EMA50–EMA200), momentum signals (EWO and/or MACD histogram), and RSI conditions to analyze market direction and strength; when all criteria align it generates an “AL” (BUY) or “SAT” (SELL) signal, otherwise it outputs “BEKLE” (WAIT), with the decision visualized through background color, a confirmation table, and optionally triggers automated alerts for BUY/SELL signals.
Pattern ScannerUltimate Pattern Scanner — multi-timeframe candlestick discovery tool (educational use only).
Purpose: This script scans user-selected timeframes for classical candlestick patterns (for example: engulfing, morning/evening stars, hammers, dojis, tasuki gaps, three soldiers/crows, tweezers, marubozu, and others) and reports pattern name, detection price, directional signal (Bull / Bear / Neutral), and a simple volume participation metric. It is intended as an idea-generation and training tool to help traders learn pattern mechanics, not as an automated trading system.
Main modules and rationale: 1) Pattern engine — applies classical candle structure rules to detect formations; 2) SMA trend filter (configurable length) — provides a directional bias to favor trade-with-trend setups; 3) Volume heuristic — approximates participation by separating candles into buy-like and sell-like volume and comparing total volume to a moving average; 4) Multi-timeframe aggregator — collects and presents pattern results from multiple timeframes; 5) Alerts — optional alerts list detected patterns and TFs. Combining these modules is intentional: patterns provide structure, SMA provides context, and volume supplies participation confirmation. Together they improve the educational value and practical relevance of each detected pattern.
How to use: Choose timeframes and SMA length that match your trading horizon. Use the scanner to locate pattern candidates, then confirm with higher-timeframe agreement and volume ratio before considering trade entry. Use structural stops (recent swing highs/lows or ATR-based stops) and define risk:reward rules. For learning, replay alerted bars and record outcomes over fixed horizons to build empirical statistics.
Limitations: Volume classification (close>open) is a heuristic and not a true bid/ask tape. SMA is a lagging trend proxy. Multi-timeframe agreement reduces but does not eliminate false signals, especially around news or in low-liquidity instruments. Use demo accounts and backtesting before live trading.
Inputs you can adjust: timeframe list, SMA length, volume MA length, which patterns to enable/disable, display options.
Compliance notes: This description explains why modules are combined and what the script does without exposing source code logic; it is non-promotional and contains no contact links. Remove any trademark symbols unless registration details are provided.
Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Backtest thoroughly and use proper risk management.
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges
General Description
The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting.
Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms.
⸻
Key Features
• Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data)
• Support for contract types: USDT.P, USD.P, USDC.P, USD.PM
• Automatic normalization of various OI data formats from different providers
• Display modes:
• OI candlestick chart (total aggregated OI)
• OI Delta (change in OI per bar)
• Full table with detailed data by exchange and contract type
• Short summary table with totals in USD and base assets
• Support for USD or COIN denomination
• Convenient formatting for large numbers
• Customizable colors
⸻
How to Use the Indicator
1. Select Exchanges
In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster.
2. Choose Data Type
• OI — aggregated open interest from selected exchanges.
• OI delta — delta (change in OI compared to the previous bar).
3. Denomination
• USD — values are converted into USD equivalents.
• COIN — values are shown in the base asset (BTC, ETH, etc.).
4. Reading the Chart
• OI candlesticks show the overall OI dynamics.
• Delta histogram highlights how much OI has grown or decreased per bar.
• Colors are fully customizable.
5. Tables
• Enabled via the Show table option.
• Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated.
• Short Table → Displays only the total OI values in USD and the base asset.
⸻
Important Notes
• For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation.
str(d, n, s) =>
str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s
format(_r) =>
d = str.tostring(math.round(_r))
str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d
⸻
Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
Combine two tickers OHLC bars with selectable sourcesCombines the bars of two chosen tickers, used to fix issues with split history, new ticker names
e.g. MYTIL went to LSE from ATHEX and changed ticker names but with "broken"/ split chart history. With this script you get the full history combined with the two tickers.
An SMA50 was used as an example of how this can be used with others custom indicators inside this script.
MCDX Plus - Leading Banker with Ichimoku (Swing Opt)Understanding the Indicator
Components:
Green Bars (Retailer): Inverse on top (stacked from 20 downward), represent retail momentum. High values (>15) with a lime background signal retail dominance—often a sell or avoid zone.
Yellow Bars (Hot Money): Middle layer, indicate speculative momentum. Useful as a secondary confirmation.
Red/Fuchsia Bars (Banker): Bottom layer, show institutional (banker/hedge fund) momentum. Red when RSI_Banker ≥ BankerMA, fuchsia otherwise. Crossings above 5, 10, 15 are key buy signals.
Blue Line (Banker MA): Hull Moving Average (HMA) of Banker RSI, tracks institutional trend with minimal lag.
Orange Line (Hot Money MA): HMA of Hot Money RSI.
Green Line (Retailer MA): HMA of Retailer RSI.
Reference Lines: 0 (base), 5 (25% Banker Entry), 10 (50% Banker Building), 15 (75% Banker Control), buildThreshold (2.0 for early signals).
Backgrounds: Red (RSI_Banker > 15, strong buy), Lime (RSI_Retailer > 15, sell/avoid), Blue (earlyBuildSignal, potential entry).
Precision Features:
HMAs reduce lag for faster cross signals.
Shortened MA periods (default 8) align with quick price moves.
PriceEMA (50-period) filters entries/exits with trend confirmation.
Pro-Level Usage Strategy
1. Master Entry Timing
Signal: Look for a Golden Cross (Banker MA crosses above Retailer MA or Hot Money MA) + red bars >5 + price > priceEMA (50-period EMA of close) + blue background (earlyBuildSignal).
Why It Works: The HMA’s low lag catches early institutional buying (red bars rising), while price > priceEMA confirms an uptrend. The blue background (RSI_Banker > 2, positive ROC, volume > volMA) flags pre-breakout accumulation.
Pro Action:
Enter a small position on the Golden Cross with blue background.
Add to the position as red bars hit 10, confirmed by volume spikes (volume > volMA).
Set a stop-loss 2-3% below the recent low or the 20-period price EMA.
Target a take-profit at 10-15% or when red bars approach 15.
2. Nail Exit Timing
Signal: Look for a Dead Cross (Banker MA crosses below Retailer MA or Hot Money MA) + green bars >15 + price < priceEMA + lime background.
Why It Works: The HMA’s precision flags waning institutional interest (red bars falling), while green bars >15 and a lime background indicate retail overextension—a classic reversal point. Price < priceEMA confirms a downtrend.
Pro Action:
Exit partial profits on the Dead Cross if red bars drop below 10.
Full exit when green bars >15 and lime background appear, with a stop-loss moved to break-even.
Target a re-entry on the next Golden Cross if red bars recover.
3. Use Cross Signals as Triggers
Golden Cross (Buy): Banker MA > Retailer MA or Hot Money MA. Confirm with red bars >5 and price > priceEMA.
Dead Cross (Sell/Avoid): Banker MA < Retailer MA or Hot Money MA. Confirm with green bars >15 and price < priceEMA.
Pro Action:
Set TradingView alerts for these conditions (e.g., "GC: Banker > Retailer MA and Price > EMA50" for buy).
Use multiple timeframes (e.g., 1H for entry, 4H for exit) to filter noise.
Combine with candlestick patterns (e.g., bullish engulfing for entry) for confirmation.
4. Leverage Backgrounds for Momentum
Red Background (RSI_Banker > 15): Strong institutional control—hold or add to longs.
Lime Background (RSI_Retailer > 15): Retail dominance—exit or short (if your broker allows).
Blue Background (earlyBuildSignal): Early banker accumulation—prepare for entry, watch for Golden Cross.
Pro Action:
Scale into trades during red zones, scale out in lime zones.
Use blue zones to anticipate breakouts, entering only after cross confirmation.
5. Optimize with Volume and Price
Volume Confirmation: Enter only when volume > volMA (10-period SMA) during Golden Cross or red bar rises.
Price Action: Align entries with support/resistance breaks, exits with trendline breaks.
Pro Action:
Add a volume oscillator (e.g., OBV) to your chart to confirm spikes.
Use Fibonacci retracement (e.g., 50% level) with MCDX signals for precise targets.
6. Pro Risk Management
Position Sizing: Risk 1-2% of capital per trade, adjusting based on red bar height (e.g., larger size at 15).
Stop-Loss: Dynamic—below recent low for entries, above recent high for exits, or trailing 2% below price EMA.
Take-Profit: Scale out at 5-10-15 red bar levels or key price targets (e.g., 20% gain).
Risk-Reward: Aim for 1:3 or better, validated by backtesting.
Ichimoku Cloud
What It Does: Combines five lines—Tenkan-sen (conversion line), Kijun-sen (base line), Senkou Span A/B (cloud edges), and Chikou Span (lagging span)—to provide trend direction, support/resistance, and momentum. The cloud (area between Span A and B) acts as a dynamic zone to filter trades.
Benefits for MCDX Plus:
Trend Confirmation: Entry is stronger when a Golden Cross (Banker MA > Retailer MA) occurs above the cloud (bullish), or exit on Dead Cross below the cloud (bearish). This aligns with priceEMA (50-period) filtering.
Support/Resistance: The cloud’s edges (e.g., Senkou Span B) can act as profit targets or stop-loss levels, enhancing precision on CleanSpark’s sharp moves.
Leading Edge: The Tenkan-sen (default 9-period) and Kijun-sen (default 26-period) cross can signal momentum shifts before MCDX crosses, complementing the blue earlyBuildSignal.
Visual Clarity: Adds a contextual layer to your chart, making it easier to see if red bars >5 align with a bullish cloud breakout.
Drawbacks:
Complexity: Requires learning (e.g., cloud thickness indicates strength), which might clutter your workflow if you’re focused solely on red bars.
Lag in Volatile Markets: The cloud’s 26-period base can lag in fast reversals
Best For: Swing traders or those wanting a holistic trend filter. Backtests on similar scripts (e.g., Smart Money Flow Pro + Ichimoku) show 70-80% accuracy when cloud aligns with MCDX signals.
Weekly/Monthly Golden ATR LevelsWeekly/Monthly Golden ATR Levels
This indicator is designed to give traders a clear, rule-based framework for identifying support and resistance zones anchored to prior period ranges and the market’s own volatility. It uses the Average True Range (ATR) as a measure of how far price can realistically stretch, then projects fixed levels from the midpoint of the prior week and prior month.
Rather than “moving targets” that repaint, these levels are frozen at the start of each new week and month and stay fixed until the next period begins. This makes them reliable rails for both intraday and swing trading.
What It Plots
Weekly Midpoint (last week’s High + Low ÷ 2)
From this mid, the script projects:
Weekly +1 / −1 ATR
Weekly +2 / −2 ATR
Monthly Midpoint (last month’s High + Low ÷ 2)
From this mid, the script projects:
Monthly +1 / −1 ATR
Monthly +2 / −2 ATR
Customization
Set ATR length & timeframe (default: 14 ATR on Daily bars).
Adjust multipliers for Level 1 (±1 ATR) and Level 2 (±2 ATR).
Choose line color, style, and width separately for weekly and monthly bands.
Toggle labels on/off.
How to Use
Context at the Open
If price opens above last week’s midpoint, bias favors upside toward +1 / +2.
If price opens below the midpoint, bias favors downside toward −1 / −2.
Weekly Bands = Short-Term Rails
+1 / −1 ATR: Rotation pivots. Expect intraday reaction.
+2 / −2 ATR: Extreme stretch zones. Reversals or breakouts often occur here.
Monthly Bands = Big Picture Rails
Use these for swing positioning, or as “outer guardrails” on intraday charts.
When weekly and monthly bands cluster → high-confluence zone.
Trade Playbook
Trend Day: Hold above +1 → target +2. Break below −1 → target −2.
Range Day: Fade first test of ±2, scalp toward ±1 or midpoint.
Catalyst/News Day: Use with caution—levels provide context, not barriers.
Risk Management
Place stops just outside the band you’re trading against.
Scale profits at the next inner level (e.g., short from +2, cover partial at +1).
Runners can trail to the midpoint or opposite side.
Why It Works
ATR measures volatility—how far price tends to travel in a given period.
Anchoring to prior highs and lows captures where real supply/demand last clashed.
Combining the two gives levels that are statistically relevant, widely observed, and psychologically sticky.
Trading books from Mark Douglas (Trading in the Zone), Jared Tendler (The Mental Game of Trading), and Oliver Kell (Victory in Stock Trading) all stress the importance of having objective, repeatable reference points. These levels deliver that discipline—removing guesswork and reducing emotional trading
Stockbee Reversal BullishCustom indicator for identifying stocks that meet the Stockbee's Reversal Bullish criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
NN Crypto Scalping ULTIMATE v6 - MTF mapercivNeural Network Crypto Trading System v6.1
Complete Technical Documentation
Author
: Neural Network Ensemble Trading System
Version
: 6.1 - MTF Corrected & Bias Fixed
Date
: January 2025
Platform
: TradingView PineScript v6
Executive Summary
The
Neural Network Crypto Trading System v6.1
is an advanced algorithmic trading system that combines three specialized neural networks into an intelligent ensemble to generate cryptocurrency trading signals. The system integrates multi-timeframe analysis, crypto-specific optimizations, dynamic risk management, and continuous learning to maximize performance in highly volatile markets.
Key Features:
Ensemble of 3 specialized Neural Networks
(Primary, Momentum, Volatility)
Multi-Timeframe Analysis
with 5 timeframes (5m, 15m, 1h, 4h, 1D)
22 Advanced Features
for each model
Anti-repainting
guaranteed with confirmed data
8 Market Regime
automatic detections
6 Signal Levels
(Strong/Moderate/Weak Buy/Sell)
Professional dashboard
with 15+ real-time metrics
Intelligent alert system
with webhook integration
Pivot Point TrendOverview
A trend-following trailing line built from confirmed pivot highs/lows and ATR bands. The line turns green in uptrends and red in downtrends. A flip happens only when price closes on the other side of the opposite trail, helping filter noise.
How it works:
Finds confirmed swing points (pivots) and builds a smoothed center from them.
From that center, creates ATR-based bands.
The active trail “locks” in the trend: in uptrends it never moves down; in downtrends it never moves up.
Close above the prior upper trail → bullish; close below the prior lower trail → bearish.
Inputs
Pivot Point Period (prd) – strictness of pivot confirmation (delay = prd bars).
ATR Period (pd) and ATR Factor (factor) – band width; higher values = fewer flips.
Calculation timeframe (calcTF) – leave empty to use chart TF, or set a hard TF like 1D, 4H.
Show Center Line – optional central guide.
Line Width – trail thickness.
Alerts
Bullish Flip – trend turns bullish.
Bearish Flip – trend turns bearish.
Trend Changed – any flip event.
Usage tips
Typical crypto intraday starters: prd 2–5, pd 10–14, factor 2.5–3.5.
For smoother signals, compute on a higher TF (e.g., calcTF = 1D) and time entries on your lower TF.
Prefer actions on bar close of the calculation TF to avoid intrabar whipsaw.
Notes on repainting
The script uses request.security(..., lookahead_off). Pivots confirm after prd bars by design; once confirmed, the center and trails do not use future data. Evaluate flips on bar close for consistency, especially when calcTF > chart TF.
Disclaimer
Educational use only. Not financial advice. Trading involves risk.
Higher Lows, Lower Highs & Failures with Signal Quality ScoringAn attempt at a higher low and lower high with scoring
Stockbee Reversal Bullish v2Custom indicator for identifying stocks that meet the Stockbee's Reversal Bullish New criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
Interval Highlighter with High/Low AlertsInterval Highlighter with High/Low Alerts
Overview:
This Pine Script indicator enhances chart analysis by highlighting specific time intervals and marking the highest and lowest prices within those periods. It supports three customizable modes:
Date Range: Highlight a user-defined period with background shading and plot the highest and lowest prices.
Days of the Week: Highlight specific weekdays with background colors and plot the highest and lowest prices for each day.
Intraday Interval: Highlight a specific intraday time range (e.g., 12:30 PM to 4:30 PM) with background shading and plot the highest and lowest prices within that interval.
Alerts are triggered when the price touches any of the highlighted high or low levels, providing real-time notifications for potential trading opportunities.
High and low lines extend to the right and remain visible after the interval ends. This ensures they act as actionable reference points for alerts between intervals, allowing users to monitor critical levels until a new interval of the same category forms.
Features:
Customizable Time Intervals: Define specific date ranges, weekdays, or intraday intervals to highlight on the chart.
High/Low Tracking: Automatically plots the highest and lowest prices within the defined intervals.
Real-Time Alerts: Set up alerts to notify when the price touches any of the highlighted high or low levels.
Actionable Lines: High/low lines remain visible after interval completion to serve as reference points for alerts.
Visual Enhancements: Customize background colors and line styles for each interval type.
Usage:
Apply the indicator to your chart.
Configure the desired modes (Date Range, Days of the Week, Intraday Interval) in the settings.
Customize the appearance settings to match your preferences.
Set up alerts based on the highlighted high/low levels.
Disclaimer:
This indicator is designed to assist in identifying potential areas of interest based on historical high and low levels within specified intervals. It is not intended as a standalone trading signal. Users should employ additional technical analysis tools and conduct thorough research before making trading decisions.
NQ Bias — Fixed Session (6PM & Midnight Opens)📰 Script Summary — NQ Bias (Fixed Session)
📌 Purpose:
This Pine Script helps traders track bias shifts on Nasdaq futures (NQ) using ICT-style reference points like the 6PM open, Midnight open, and 4PM close.
⚙️ How It Works:
Plots session opens (6PM, Midnight) as bias reference lines.
Highlights when price is trading above or below the 4PM New York Close → tells you if the market is leaning bullish or bearish.
Uses background coloring (green/red) to visually show bias.
Lets you filter by specific trading dates for focused backtesting.
Designed with ICT principles → focus on daily opens, session shifts, and premium/discount logic.
📈 Trader Benefit:
Quickly see if NQ is in bullish or bearish context relative to key opens.
Simplifies daily bias framework into an easy chart overlay.
Helps align trades with the higher-probability side of the market.
Aslan | Signal Engine [6.5]📈| Aslan - Signal Engine
Our flagship Signal Engine is a comprehensive toolkit featuring powerful tools designed to deliver precise real-time signals and confluences. Built to meet the technical analysis needs of traders across all markets, it provides reliable data-driven insights tailored for any trading style.
While it seamlessly complements other technical indicators and analysis methods, the engine is also robust enough to function as a standalone solution. To fully unlock its potential, we recommend exploring all its features gradually, supported by our detailed documentation and personalized mentoring.
🚀| Features
-Three signal models, Designed to work in any market and adapt to all market conditions. Fully customizable to meet your specific trading strategies and needs.
- Trend Following Signals: Follows the momentum of the market.
- Contrarian (Reversal) Signals: Our flagship model, Predicts exact reversal points.
- Kernel Retest Signals: Perfect for confirming the trend following signals
-Signal Filters: Refine and validate signals to reduce noise and improve trade accuracy.
-Volatility bands, Ideal for analyzing market behavior, helping you easily identify whether the market is trending or consolidating.
-Dynamic Kernel S&R, Adaptive and precise levels that adjust based on current market dynamics for better decision-making.
-Heatmap Bar Color: Highlights trend exhaustion, helping you spot potential reversals with ease.
💸| Usage
2 Main signal Models
Contrarian signals are rooted in mean-reversion logic: after a pronounced price movement, they anticipate a pullback, betting on the exhaustion of momentum and a reversion to the mean.
Trend-following signals, on the other hand, operate on the premise that early momentum is likely to persist—recognizing initial strength as a signal that the prevailing trend will continue to unfold.
Both methodologies reflect differing market philosophies - one seeking to capitalize on reversals, the other on sustained directional moves.Both models have inherent limitations when used in isolation. Trend-following signals tend to lag, often confirming moves only after the trend has begun to lose momentum. Conversely, contrarian signals can trigger prematurely, anticipating reversals before the underlying trend has fully played out.
By integrating these two approaches in confluence, we can harness their complementary strengths - mitigating individual weaknesses and crafting a more robust, profitable trading system. A straightforward yet effective strategy involves first waiting for a contrarian signal indicating overbought or oversold conditions. Following this, a confirmation signal on a lower time frame is used to validate the emergence of a new trend, providing a higher-probability entry point.
Contrarian signals tend to perform best in consolidating or balanced markets, where price oscillates within a defined range and mean-reversion strategies have higher probability. In contrast, trend-following signals are more effective in trending or imbalanced markets, where momentum drives sustained directional moves.
Understanding the underlying market context is key to applying each model optimally—and combining them allows for strategic adaptability across varying conditions, The volatility bands can identify these conditions.
🪙| Volatility Bands
These tools measure the volatility profile of the market. When the bands are narrow and contracting, it signals a consolidating phase—a period of low volatility where the market is accumulating liquidity and preparing for a potential breakout. In such conditions, contrarian signals tend to be more effective, capitalizing on mean-reverting price behavior within tight ranges.
Conversely, when the bands are wide and expanding, it indicates a trending market with increased volatility and directional momentum. During these phases, trend-following signals typically outperform, aligning with the prevailing movement and capturing extended price swings.
To read the full documentation, Visit our website.
3CRGANG - Supply Demand Zones3CRGANG - SUPPLY/DEMAND ZONES
This indicator identifies and displays supply and demand zones on the chart, based on price action and pivot points. It categorizes zones into five states—Untested, Verified, Weak, Flipped, and Broken—using customizable testing methods ("Dynamic - Bars" or "Mechanical - Pivots"). The zones are calculated using fractal analysis and ATR-based boundaries, with options to adjust sensitivity, zone width, and merge behavior.
Features:
Zone Types: Visualizes support and resistance zones with distinct colors for each state.
Customizable Settings: Adjust fractal sensitivity, zone boundary ATR multiplier, and merge passes for precise zone detection.
Testing Methods: Choose between dynamic bar-based or mechanical pivot-based testing for zone validation.
Visibility Options: Toggle visibility for each zone state (Untested, Verified, Weak, Flipped, Broken).
Labels: Display zone details, including size (in pips or dollars) and test count, with customizable label positioning and size.
Alerts: Configurable alerts for zone interactions, filtered by trading sessions (NYSE, LSE, FSE, SSX, TSE, HKSE) and user-defined Do Not Disturb (DND) periods.
Holiday and Session Filters: Incorporates exchange-specific holiday schedules and session times to control alert triggers.
Timezone Support: Select from a wide range of timezones to align alerts with your local time.
Settings:
Test Mode: Select testing method and set minimum test gap and weak zone threshold.
General: Configure lookback period for zone detection.
Pivot Filters: Adjust fractal sensitivity and maximum merge passes.
Zone Width: Set ATR multiplier and fuzz factor for zone boundaries.
Visual: Customize zone style (solid, dashed, dotted), border width, and horizontal extension.
Visibility: Show or hide specific zone states.
Labels: Enable/disable labels, adjust their position, size, and content (zone size, test count).
Alerts: Enable alerts for specific zone states and filter by exchange sessions or weekends.
DND Settings: Set DND periods and timezone for alert suppression.
Colors: Customize colors for each zone state and type.
Notes:
The indicator is designed for flexibility across various markets and timeframes.
Alerts respect user-defined session filters and holiday schedules for major exchanges.
Ensure sufficient chart history (up to 500 bars) for accurate zone calculations.
Use the provided settings to fine-tune zone detection and alert behavior to suit your trading strategy.
Neutral Entry Monitor — 1S Primary SR (Protected, Pine v6)
Detects *New Neutral* states from a 1‑second consensus Primary, stores deduped S/R levels, shows nearest levels with mini‑tags, and tracks first‑touch stats. Protected to safeguard unique consensus/neutral logic; free to use, source code not public.
- Neutral detection (1S Primary): Tracks a consensus of box sizes to form a Primary (price vs. close). A *New Neutral* occurs when the Primary‑Price and Primary‑Close converge within a configurable tolerance.
- S/R level storage with dedup: Each New Neutral locks an S/R level; nearby duplicates are filtered by tolerance to avoid clutter.
- Nearest S/R & mini‑tags: Shows the nearest Resistance (above) and Support (below) relative to the live 1‑second price; optional mini‑tags include level and distance in ticks.
- First‑touch experiment: After a New Neutral, it records which side (R or S) is touched first (with a buffer), tallying UP/DN/TIE counts for validation.
- Non‑repainting design: Uses `request.security()` with `lookahead=barmerge.lookahead_off`. No future data is accessed. Real‑time values can update within the current bar, which is expected behavior for live data.
1) Consensus Primary: Builds a list of box sizes (in ticks), tracks both 1S price and bar close; the last index is the **Primary**.
2) New Neutral: When `|PrimaryPrice − PrimaryClose| ≤ tol` and a state transition occurs, the script records a level.
3) Nearest search: Efficient scans find nearest **above** (R) / **below** (S) levels; optional mini‑tags show distance in ticks.
4) First‑touch logic: After a New Neutral, the script waits up to *N bars* for a buffered touch of R or S and updates UP/DN/TIE stats.
- Largest box (ticks), Step for box list (ticks): define the consensus box set.
- Equality tolerance × minTick: Neutral equality tolerance.
- Max neutral levels stored: ring buffer size.
- Nearness threshold (ticks): when to show mini‑tags.
- Visibility toggles: Primary lines, New Neutral dot, SR drawing, mini‑tags.
- Turn‑Test: *Max bars to decide*, *Confirm buffer (ticks)*.
- Clean chart when publishing: Show only this indicator unless strictly required; ensure outputs are clearly visible.
- No unrealistic claims: This is a market‑structure utility; it does not guarantee direction or results. Avoid performance/accuracy claims.
- Data availability: 1S data depends on the symbol/data source; where unavailable, it falls back to chart’s timeframe close for stability.
- Live‑bar updates: Mini‑tags and distances update tick‑by‑tick during the current bar; historical bars remain stable.
- Included: New Neutral — fires when a new neutral state is detected by the 1S Primary consensus.
- Suggested English text: “Fires when a New Neutral is detected by the 1S Primary consensus.”
**v1.0.0**
- Initial public release (Protected).
- Consensus‑based New Neutral detection, deduped SR storage.
- Nearest R/S mini‑tags with tick distances.
- First‑touch statistics after New Neutral.
- No lookahead; live‑bar updates expected.
This tool is provided for educational purposes. It does not provide financial advice or guaranteed results. Markets are uncertain; past behavior does not guarantee future outcomes.
pine
//@version=6
// Neutral Entry Monitor — 1S Primary SR (Protected, Pine v6)
// Description : Detects New Neutral from a consensus‑based 1S Primary, stores deduped SR, shows nearest S/R mini‑tags, and tracks first‑touch stats. No lookahead; live‑bar updates may occur.
// Notes: Educational use only. No financial advice. Source is hidden (Protected publish).
[HTF Entry Model+] @shulktrades [Free Trial]“Stop overanalyzing. Wait for the signal”
created by @shulktrades
from 9/10 00:00 to 9/13 23:59
Timeframe alignment has never been easier. Identify the algorithmic signature on any timeframe. Futures, Stocks, Crypto.
-Plots Entry Model Display after HTF confirmation so you can be confident in the direction of price.
-Allows to choose from Auto/Fixed HTF selection so you can do HTF or current timeframe.
-Allows specific proprietary algorithmic time based sessions to be ON/OFF
-Allows to choose HTF Bull/Bear Colors
-Allows to change the length of the Display Lines
Meta-LR Forecast v2Meta-LR Forecast is a tool that helps visualize whether the market is acting more like a trend (moving strongly in one direction) or more like a range (sideways/mean-reverting). It is designed to give context, not to generate buy or sell signals.
The script looks at multiple timeframes at once (for example minutes, hours, days, or weeks depending on your chart) and projects where price could go if each timeframe’s “bias” plays out. These projected points are then drawn ahead of current price.
Each timeframe’s bias is based on how straight and consistent the recent move has been (Directional Efficiency), combined with how well a line fits that move (R²). Together these form a “Bias %.” Higher positive values suggest upward pressure, higher negative values suggest downward pressure, and values near zero suggest indecision or chop.
A logistic blend adjusts between trend-following and range/anti-trend behavior. When the market shows strong direction, the forecast leans more toward trend; when it’s choppy or moving sideways, the forecast leans more toward range. In some conditions, a counter-trend (anti-trend) adjustment is allowed, but only when volatility and efficiency fall within certain thresholds.
ATR (Average True Range) is used to normalize everything, so the indicator adapts to different symbols and volatility levels. This way, the projection size is expressed in “Bias × ATR” units added to current price, making the forecasts scale appropriately across assets.
The projected points are spaced in time according to the real length of their timeframe. For example, a 1-day projection will be drawn farther away on the chart than a 15-minute projection. This makes the forward path visually match the true horizon of each timeframe.
The top-right table shows “Meta Bias %,” which is the overall bias calculated from all selected timeframe projections chained together. Positive Meta Bias means the combined path leans upward, negative means downward, and values close to zero mean mixed conditions.
How to use it: treat the Meta Bias % and polyline as context. If the forecast path is stacked upward with a strong positive Meta Bias, it suggests supportive conditions. If it stacks downward with a strong negative Meta Bias, it suggests pressure. If it alternates up and down and the bias hovers near zero, conditions may be indecisive. Always confirm with your own analysis before acting.
Important limitations: this tool is educational and for visualization only. It does not give entry or exit signals, and it does not guarantee profitable outcomes. Higher-timeframe values can change until that bar closes, so the display may adjust in real time. Market shocks, news events, and low liquidity conditions are not modeled.
Good practice: combine this indicator with your own trading plan, structure analysis, and risk management. Backtest responsibly in a simulator before using it live. Adjust inputs to fit your symbol and timeframe.
Compliance note: this script does not claim to be a “holy grail” or promise guaranteed results. It is not financial advice. It is meant to help traders better visualize context and market behavior. Use it as one part of a broader decision-making process.
